processor job ****************************************************** * * * Integrated AIRSAR Processor * * Script Generator Program * * * * This program generates all the scripts necessary * * to run the command file generator for the AIRSAR * * processor. * * * ****************************************************** Enter the name of the disk with the raw data (def=data1): Enter the final output disk (def=data11): Enter the final output disk (def=data11): Enter the final output disk (def=data11): How many bytes offset in range (def=0)? Which year was data taken (def=95)? Enter the chirp bandwidth (def=40): Enter HDDT number: Enter the IDR number: Enter an image title of no more than 28 characters: Enter the TS number for this scene: What is the desired post spacing (def=10)? what is the # of lines of download tape (def=40960)? Do you want to specify the processing altitude (def=n)? Is there a DEM to use in calibration (def=y)? Enter number of frequencies to process (def=3): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): ***** Please run "gencom_all" now! ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_C.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_C_DATAIN file. Wrote PATCHES_C.COM file. Wrote PROCESSOR_CHH.COM file. Wrote PROCESSOR_CHV.COM file. Wrote PROCESSOR_CVH.COM file. Wrote PROCESSOR_CVV.COM file. Write DESKEW_CHH.COM file. Write DESKEW_CHV.COM file. Write DESKEW_CVH.COM file. Write DESKEW_CVV.COM file. Wrote MLOOK_LINESC.COM file. Wrote MULTILOOK_C.COM file. Wrote RADIOMETRIC_C.COM file Wrote COMPRESS_C.COM file Wrote C_PIC.COM file Wrote HD.COM file Please delete the *.lines.dat after you are done ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_L.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_L_DATAIN file. Wrote PATCHES_L.COM file. Wrote PROCESSOR_LHH.COM file. Wrote PROCESSOR_LHV.COM file. Wrote PROCESSOR_LVH.COM file. Wrote PROCESSOR_LVV.COM file. Write DESKEW_LHH.COM file. Write DESKEW_LHV.COM file. Write DESKEW_LVH.COM file. Write DESKEW_LVV.COM file. Wrote MLOOK_LINESL.COM file. Wrote MULTILOOK_L.COM file. Wrote RADIOMETRIC_L.COM file Wrote COMPRESS_L.COM file Wrote L_PIC.COM file Please delete the *.lines.dat after you are done ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_P.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_P_DATAIN file. Wrote PATCHES_P.COM file. Wrote PROCESSOR_PHH.COM file. Wrote PROCESSOR_PHV.COM file. Wrote PROCESSOR_PVH.COM file. Wrote PROCESSOR_PVV.COM file. Write DESKEW_PHH.COM file. Write DESKEW_PHV.COM file. Write DESKEW_PVH.COM file. Write DESKEW_PVV.COM file. Wrote MLOOK_LINESP.COM file. Wrote MULTILOOK_P.COM file. Wrote RADIOMETRIC_P.COM file Wrote COMPRESS_P.COM file Wrote P_PIC.COM file Please delete the *.lines.dat after you are done Mon May 4 14:38:30 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 19:46:48 IDR=175050 FC=3,090,870 drft 5.3; still quite cal m; AFC shows strong C-band image, signals look good; Sony-B is p erforming extremely well; 6 SVs, looking good no photo; AFC has good image, loss of signal in far rangeWilliam Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94050 94050 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5279 prod ID1:*5279*5279* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94050 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.40 4 5 20 25 16 24 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 4 5 20 25 16 24 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171561666.3250 -171561617.3580 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 lati 53.92954 53.88468 53.97446 .0258754 0 loni -104.57729 -104.60323 -104.55139 .0149339 0 latd 53.93213 53.88667 53.97667 .0259689 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8133.52979 8137.93994 .9055493 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171561666.324414 -171561666.325 GPS trend coefficients = .7098400378532211 -1.12831860781332 -.433381438308106 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 delx .25720 .25714 .25722 .0000159 0 lati 53.92954 53.88502 53.97411 .0258735 0 loni -104.57729 -104.60306 -104.55173 .0149325 0 latd 53.93213 53.88833 53.97667 .0259645 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8134.19374 8137.24072 .7845752 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00101 -.14701 .12845 .0385394 0 ca -.00194 -.07870 .07990 .0236201 0 aa -.02390 -.07870 .01073 .0166425 0 Average Barometric Altitude = 7960.03011750001 Average Radar Altitude = 7738.162863749986 Average GPS Altitude = 8135.311413574211 >>Record # : 64 >>GPS Stuff = 2.40 4 5 20 25 1 >>Record # : 40960 >>GPS Stuff = 2.30 4 5 20 25 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.222556321110459E-04 Standard deviation of difference = 2.888139101656679E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9152718 -104.5525436 8134.242 End position = 53.9610405 -104.5790634 8136.083 Loxodromic Heading (deg) = -18.8746681 Loxodromic Distance (km) = 5383.7279808 Geodesic Heading (deg) = -18.8639520 Geodesic Distance (km) = 5383.7279227 Peg latitude and longitude = 53.9390755 -104.5663300 Peg heading = -18.8731285 Rotation matrix First row = -.148044637 -.120695890 -.981588146 Second row = -.569724431 .821696898 -.015108976 Third row = .808391525 .556997945 -.190411216 Translation vector Vector = -1974.54077 -7598.68199 -23810.28891 Local Radius of Curvature = 6378796.871385548 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2584920062498386 Delta s on reference surface = .2584920075067438 Making fits... Vertical fit coefficients = 8137.172503012387 -.312584144286802 2.810927100307836E-03 Cross track fit coefficients = -1.64586161974259 .2074132046879417 -8.194418704394591E-04 Along track fit coefficients = -5374.05224424683 215.9775614947665 2.280577542878248E-03 Miscellaneous Information Start range = 8304.25225 Start ground range = 3013.542919175147 Time orgin = -171561666.324414 Pulse spacing = .2572018616529277 First frame = 3730445 Thank you for your patronage Enter the name of the motion compensation file. Name of the H-pol motion compensation file? Name of the V-pol motion compensation file? How many lines per polarization? ********************************************* * * * AIRSAR INTEGRATED PROCESSOR * * * * CALTONE ESTIMATOR * * * * This program estimates the CALTONE amp- * * litude and phase and writes the result * * into the parameter header. * * * ********************************************* Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) CHH Enter the paramater file name. /data3/airops/cm5279_c.par Enter the raw data file name. /data2/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5279_c.mocomph Enter a file name for the range spectrum: /data2/airops/db_c_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (119.1492,.0) (55.60298,.0) (-87.3761,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 662347.7 Pulse#/64: 65 1073 1158658. Pulse#/64: 129 1073 779271.5 Pulse#/64: 193 1073 1116131. Pulse#/64: 257 1073 6496735. Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.53113Power RMS: 2.87971 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 796.462Amp. RMS: 301.5351 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -56.3859Phase RMS: 264.8762 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.5922 CalTone Power Coherently dB : 57.53113 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.5922 Incoherent PW - Coherent PW : 36.06107 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47713.35 CalTone Amplitude Coherently : 796.462 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46916.89 ------------ *** ------------ running time (sec): 81.69 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) CHV Enter the paramater file name. /data3/airops/cm5279_c.par Enter the raw data file name. /data2/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5279_c.mocompv Enter a file name for the range spectrum: /data2/airops/db_c_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (43.79179,.0) (-51.7539,.0) (-7.96214,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 625381.9 Pulse#/64: 65 1073 549139.8 Pulse#/64: 129 1073 1509129. Pulse#/64: 193 1073 4070591. Pulse#/64: 257 1073 1414435. Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.97931Power RMS: 2.57855 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 825.0882Amp. RMS: 238.8044 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -44.6293Phase RMS: 251.4811 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.13917 CalTone Power Coherently dB : 57.97931 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.13917 Incoherent PW - Coherent PW : 36.15985 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 50905.77 CalTone Amplitude Coherently : 825.0882 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 50080.68 ------------ *** ------------ running time (sec): 70.91 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) CVH Enter the paramater file name. /data3/airops/cm5279_c.par Enter the raw data file name. /data2/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5279_c.mocomph Enter a file name for the range spectrum: /data2/airops/db_c_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-75.6404,.0) (-47.7729,.0) (91.56465,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 434937.0 Pulse#/64: 65 1073 410671.2 Pulse#/64: 129 1073 419549.2 Pulse#/64: 193 1073 791943.5 Pulse#/64: 257 1073 687195.5 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.54269Power RMS: 1.47215 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 764.2827Amp. RMS: 129.1147 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -71.0769Phase RMS: 232.1547 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.59326 CalTone Power Coherently dB : 57.54269 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.59326 Incoherent PW - Coherent PW : 36.05056 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47901.62 CalTone Amplitude Coherently : 764.2827 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 47137.33 ------------ *** ------------ running time (sec): 69.90 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) CVV Enter the paramater file name. /data3/airops/cm5279_c.par Enter the raw data file name. /data2/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5279_c.mocompv Enter a file name for the range spectrum: /data2/airops/db_c_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (47.65969,.0) (-111.206,.0) (7.94328,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 614158.0 Pulse#/64: 65 1073 544034.6 Pulse#/64: 129 1073 455844.9 Pulse#/64: 193 1073 591516.6 Pulse#/64: 257 1073 670289.2 Estimate Caltone : 1382 -----CalTone Estimate Position --- CalTone Bin at : 1382 1073 CalTone Bin offset : -309 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.32011Power RMS: 2.15138 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 849.3267Amp. RMS: 212.4344 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -56.5272Phase RMS: 225.47 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.33592 CalTone Power Coherently dB : 58.32011 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.33592 Incoherent PW - Coherent PW : 36.0158 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 52147.38 CalTone Amplitude Coherently : 849.3267 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 51298.05 ------------ *** ------------ running time (sec): 67.76 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.13313 5.07206E-05 z fit: constant and linear terms: -1.86158 1.19075E-08 y and z standard deviations (meters) .2228771 .7452831 Enter the name of the global line file. Enter the name of the motion compensation file. Enter the number of lines in the mocomp file & first one. Enter the patch size and the max reference fnc length. Enter the maximum Doppler error. Enter the doppler file name. Enter the wavelength and nominal azimuth pixel spacing Initial guess at number of patches = 9 Step size = 1888 PATCH NUMER 1 First line = 1 Averages = .2635698 .2686785 .274447 .2794825 Differences = -7.97468E-03 -2.86594E-03 2.90254E-03 7.93809E-03 PATCH NUMER 2 First line = 1889 Averages = .2734968 .2791187 .280978 .2739436 Differences = -3.38748E-03 2.23446E-03 4.09377E-03 -2.94071E-03 PATCH NUMER 3 First line = 3777 Averages = .2812739 .2750946 .2671192 .2593879 Differences = 1.05550E-02 4.37567E-03 -3.59979E-03 -1.13311E-02 PATCH NUMER 4 First line = 5665 Averages = .2685269 .2606124 .2537729 .2521747 Differences = 9.75513E-03 1.84062E-03 -4.99883E-03 -6.59707E-03 PATCH NUMER 5 First line = 7553 Averages = .2543621 .2520308 .2523262 .2530615 Differences = 1.41692E-03 -9.14335E-04 -6.18964E-04 1.16378E-04 PATCH NUMER 6 First line = 9441 Averages = .2521456 .2529298 .2547525 .2592507 Differences = -2.62406E-03 -1.83988E-03 -1.72257E-05 4.48105E-03 PATCH NUMER 7 First line = 11329 Averages = .2540588 .2588136 .2648267 .2683353 Differences = -7.44987E-03 -2.69505E-03 3.31804E-03 6.82667E-03 PATCH NUMER 8 First line = 13217 Averages = .2637909 .2679471 .2689146 .2662416 Differences = -2.93258E-03 1.22356E-03 2.19113E-03 -4.81904E-04 PATCH NUMER 9 First line = 15105 Averages = .2691005 .2665008 .2681771 .2737871 Differences = -2.90871E-04 -2.89056E-03 -1.21430E-03 4.39572E-03 PATCH NUMER 10 First line = 16993 Averages = .2675811 .2728613 .2787158 .2864488 Differences = -8.82062E-03 -3.54043E-03 2.31409E-03 1.00472E-02 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5279_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_hh Name of the mocomp data file? /data3/airops/cm5279_c.mocomph Output file name? /data3/airops/cm5279_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ch xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.190 Processing 10 blocks Processing block number 1 reference line: 2048 2.190 seconds. Range compression done, time = 62.694 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 62.715 Motion comp. added to patch, time = 109.292 Doppler estimation done, time = 109.292 Azimuth compression starting, time : 109.375 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 281.156 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 290.324 seconds. Range compression done, time = 343.915 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 343.936 Motion comp. added to patch, time = 381.808 Doppler estimation done, time = 381.808 Azimuth compression starting, time : 381.881 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 560.005 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 570.491 seconds. Range compression done, time = 624.149 shift in azimuth (fractional pixel)= -.499928 Motion comp. coeff. calculated, time = 624.169 Motion comp. added to patch, time = 661.929 Doppler estimation done, time = 661.929 Azimuth compression starting, time : 662.003 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 846.546 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 855.001 seconds. Range compression done, time = 908.489 shift in azimuth (fractional pixel)= -.499933 Motion comp. coeff. calculated, time = 908.509 Motion comp. added to patch, time = 946.583 Doppler estimation done, time = 946.583 Azimuth compression starting, time : 946.657 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1138.927 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1150.258 seconds. Range compression done, time = 1204.106 shift in azimuth (fractional pixel)= -.499934 Motion comp. coeff. calculated, time = 1204.127 Motion comp. added to patch, time = 1241.919 Doppler estimation done, time = 1241.919 Azimuth compression starting, time : 1241.993 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1440.655 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1449.029 seconds. Range compression done, time = 1502.787 shift in azimuth (fractional pixel)= -.499931 Motion comp. coeff. calculated, time = 1502.808 Motion comp. added to patch, time = 1540.623 Doppler estimation done, time = 1540.623 Azimuth compression starting, time : 1540.696 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1746.004 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1759.396 seconds. Range compression done, time = 1812.710 shift in azimuth (fractional pixel)= -.499924 Motion comp. coeff. calculated, time = 1812.730 Motion comp. added to patch, time = 1850.653 Doppler estimation done, time = 1850.654 Azimuth compression starting, time : 1850.727 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2056.546 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2064.154 seconds. Range compression done, time = 2118.033 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 2118.053 Motion comp. added to patch, time = 2155.894 Doppler estimation done, time = 2155.894 Azimuth compression starting, time : 2155.968 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2365.258 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2374.420 seconds. Range compression done, time = 2428.348 shift in azimuth (fractional pixel)= -.499924 Motion comp. coeff. calculated, time = 2428.476 Motion comp. added to patch, time = 2466.313 Doppler estimation done, time = 2466.313 Azimuth compression starting, time : 2466.388 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2678.023 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2685.538 seconds. Range compression done, time = 2740.180 shift in azimuth (fractional pixel)= -.499923 Motion comp. coeff. calculated, time = 2740.201 Motion comp. added to patch, time = 2794.456 Doppler estimation done, time = 2794.456 Azimuth compression starting, time : 2794.557 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3041.230 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_c.hh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_c.hh Name of the doppler parameter file? /data3/airops/cm5279_c.dop Name of the deskew file? /data3/airops/deskew.ch Line up to another frequency [y/n]? n Name of the output file? /data4/airops/cm5279_c.hh Name of the line output file? /data4/airops/lines.dat Deskewing 10 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 0 1 1105 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1104 Processing block number 2 1105 1899 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1898 1899 3003 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3002 Processing block number 3 3003 3785 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3784 3785 4889 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4888 Processing block number 4 4889 5663 -10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5662 5663 6767 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6766 Processing block number 5 6767 7544 -7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7543 7544 8648 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8647 Processing block number 6 8648 9431 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9430 9431 10535 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10534 Processing block number 7 10535 11322 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11321 11322 12426 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12425 Processing block number 8 138 925 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13212 925 2029 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14316 Processing block number 9 2029 2817 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15104 2817 3921 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16208 Processing block number 10 3921 4106 10 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16393 4106 5210 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17497 Writing the last 1807 lines Total # of output lines = 19304 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5279_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_hv Name of the mocomp data file? /data3/airops/cm5279_c.mocomph Output file name? /data3/airops/cm5279_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ch xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.340 Processing 10 blocks Processing block number 1 reference line: 2048 2.340 seconds. Range compression done, time = 59.515 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 59.536 Motion comp. added to patch, time = 104.616 Doppler estimation done, time = 104.616 Azimuth compression starting, time : 104.690 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 278.999 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 285.172 seconds. Range compression done, time = 339.265 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 339.286 Motion comp. added to patch, time = 377.096 Doppler estimation done, time = 377.096 Azimuth compression starting, time : 377.170 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 558.519 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 568.770 seconds. Range compression done, time = 622.509 shift in azimuth (fractional pixel)= -.499928 Motion comp. coeff. calculated, time = 622.529 Motion comp. added to patch, time = 660.283 Doppler estimation done, time = 660.283 Azimuth compression starting, time : 660.357 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 848.243 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 851.899 seconds. Range compression done, time = 905.799 shift in azimuth (fractional pixel)= -.499933 Motion comp. coeff. calculated, time = 905.820 Motion comp. added to patch, time = 944.633 Doppler estimation done, time = 944.634 Azimuth compression starting, time : 944.707 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1139.628 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1148.890 seconds. Range compression done, time = 1203.551 shift in azimuth (fractional pixel)= -.499934 Motion comp. coeff. calculated, time = 1203.597 Motion comp. added to patch, time = 1241.411 Doppler estimation done, time = 1241.412 Azimuth compression starting, time : 1241.485 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1443.523 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1447.120 seconds. Range compression done, time = 1502.392 shift in azimuth (fractional pixel)= -.499931 Motion comp. coeff. calculated, time = 1502.412 Motion comp. added to patch, time = 1540.478 Doppler estimation done, time = 1540.478 Azimuth compression starting, time : 1540.551 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1747.631 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1760.806 seconds. Range compression done, time = 1814.452 shift in azimuth (fractional pixel)= -.499924 Motion comp. coeff. calculated, time = 1814.472 Motion comp. added to patch, time = 1853.169 Doppler estimation done, time = 1853.169 Azimuth compression starting, time : 1853.242 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2063.537 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2066.774 seconds. Range compression done, time = 2121.052 shift in azimuth (fractional pixel)= -.499918 Motion comp. coeff. calculated, time = 2121.073 Motion comp. added to patch, time = 2160.201 Doppler estimation done, time = 2160.202 Azimuth compression starting, time : 2160.275 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2368.603 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2372.136 seconds. Range compression done, time = 2426.766 shift in azimuth (fractional pixel)= -.499924 Motion comp. coeff. calculated, time = 2426.786 Motion comp. added to patch, time = 2465.303 Doppler estimation done, time = 2465.303 Azimuth compression starting, time : 2465.378 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2676.071 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2683.913 seconds. Range compression done, time = 2737.805 shift in azimuth (fractional pixel)= -.499923 Motion comp. coeff. calculated, time = 2737.825 Motion comp. added to patch, time = 2776.471 Doppler estimation done, time = 2776.471 Azimuth compression starting, time : 2776.556 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2988.314 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_c.hv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_c.hv Name of the doppler parameter file? /data3/airops/cm5279_c.dop Name of the deskew file? /data3/airops/deskew.ch Line up to another frequency [y/n]? n Name of the output file? /data4/airops/cm5279_c.hv Name of the line output file? /data4/airops/lines.dat Deskewing 10 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 0 1 1105 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1104 Processing block number 2 1105 1899 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1898 1899 3003 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3002 Processing block number 3 3003 3785 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3784 3785 4889 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4888 Processing block number 4 4889 5663 -10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5662 5663 6767 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6766 Processing block number 5 6767 7544 -7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7543 7544 8648 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8647 Processing block number 6 8648 9431 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9430 9431 10535 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10534 Processing block number 7 10535 11322 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11321 11322 12426 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12425 Processing block number 8 138 925 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13212 925 2029 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14316 Processing block number 9 2029 2817 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15104 2817 3921 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16208 Processing block number 10 3921 4106 10 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16393 4106 5210 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17497 Writing the last 1807 lines Total # of output lines = 19304 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5279_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_vh Name of the mocomp data file? /data3/airops/cm5279_c.mocompv Output file name? /data3/airops/cm5279_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.cv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.336 Processing 10 blocks Processing block number 1 reference line: 2048 2.337 seconds. Range compression done, time = 58.285 Motion comp. coeff. calculated, time = 58.306 Motion comp. added to patch, time = 97.729 Doppler estimation done, time = 97.729 Azimuth compression starting, time : 97.803 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 270.100 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 276.215 seconds. Range compression done, time = 330.049 Motion comp. coeff. calculated, time = 330.069 Motion comp. added to patch, time = 368.116 Doppler estimation done, time = 368.116 Azimuth compression starting, time : 368.193 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 541.954 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 552.190 seconds. Range compression done, time = 606.268 Motion comp. coeff. calculated, time = 606.288 Motion comp. added to patch, time = 644.276 Doppler estimation done, time = 644.276 Azimuth compression starting, time : 644.349 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 817.794 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 821.367 seconds. Range compression done, time = 875.698 Motion comp. coeff. calculated, time = 875.718 Motion comp. added to patch, time = 914.328 Doppler estimation done, time = 914.329 Azimuth compression starting, time : 914.402 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1086.803 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1096.638 seconds. Range compression done, time = 1152.344 Motion comp. coeff. calculated, time = 1152.380 Motion comp. added to patch, time = 1190.256 Doppler estimation done, time = 1190.257 Azimuth compression starting, time : 1190.330 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1364.903 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1368.528 seconds. Range compression done, time = 1422.453 Motion comp. coeff. calculated, time = 1422.473 Motion comp. added to patch, time = 1462.296 Doppler estimation done, time = 1462.296 Azimuth compression starting, time : 1462.369 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1637.414 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1650.505 seconds. Range compression done, time = 1705.805 Motion comp. coeff. calculated, time = 1705.826 Motion comp. added to patch, time = 1743.861 Doppler estimation done, time = 1743.861 Azimuth compression starting, time : 1743.934 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1918.667 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1921.897 seconds. Range compression done, time = 1976.790 Motion comp. coeff. calculated, time = 1976.811 Motion comp. added to patch, time = 2015.717 Doppler estimation done, time = 2015.717 Azimuth compression starting, time : 2015.790 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2190.318 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2196.987 seconds. Range compression done, time = 2252.123 Motion comp. coeff. calculated, time = 2252.143 Motion comp. added to patch, time = 2290.737 Doppler estimation done, time = 2290.738 Azimuth compression starting, time : 2290.812 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2465.322 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2473.022 seconds. Range compression done, time = 2527.688 Motion comp. coeff. calculated, time = 2527.708 Motion comp. added to patch, time = 2566.328 Doppler estimation done, time = 2566.329 Azimuth compression starting, time : 2566.417 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2741.678 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_c.vh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_c.vh Name of the doppler parameter file? /data3/airops/cm5279_c.dop Name of the deskew file? /data3/airops/deskew.cv Line up to another frequency [y/n]? n Name of the output file? /data8/airops/cm5279_c.vh Name of the line output file? /data4/airops/lines.dat Deskewing 10 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 0 1 1105 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1104 Processing block number 2 1105 1899 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1898 1899 3003 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3002 Processing block number 3 3003 3785 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3784 3785 4889 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4888 Processing block number 4 4889 5663 -10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5662 5663 6767 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6766 Processing block number 5 6767 7544 -7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7543 7544 8648 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8647 Processing block number 6 8648 9431 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9430 9431 10535 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10534 Processing block number 7 10535 11322 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11321 11322 12426 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12425 Processing block number 8 138 925 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13212 925 2029 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14316 Processing block number 9 2029 2817 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15104 2817 3921 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16208 Processing block number 10 3921 4106 10 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16393 4106 5210 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17497 Writing the last 1807 lines Total # of output lines = 19304 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5279_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_vv Name of the mocomp data file? /data3/airops/cm5279_c.mocompv Output file name? /data3/airops/cm5279_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.cv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.304 Processing 10 blocks Processing block number 1 reference line: 2048 2.304 seconds. Range compression done, time = 58.444 Motion comp. coeff. calculated, time = 58.465 Motion comp. added to patch, time = 98.178 Doppler estimation done, time = 98.178 Azimuth compression starting, time : 98.252 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 271.047 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 277.146 seconds. Range compression done, time = 330.724 Motion comp. coeff. calculated, time = 330.744 Motion comp. added to patch, time = 368.985 Doppler estimation done, time = 368.985 Azimuth compression starting, time : 369.059 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 540.535 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 550.787 seconds. Range compression done, time = 604.147 Motion comp. coeff. calculated, time = 604.167 Motion comp. added to patch, time = 641.901 Doppler estimation done, time = 641.901 Azimuth compression starting, time : 641.974 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 814.558 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 818.109 seconds. Range compression done, time = 872.797 Motion comp. coeff. calculated, time = 872.817 Motion comp. added to patch, time = 910.522 Doppler estimation done, time = 910.523 Azimuth compression starting, time : 910.596 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1083.421 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1093.209 seconds. Range compression done, time = 1147.153 Motion comp. coeff. calculated, time = 1147.176 Motion comp. added to patch, time = 1184.964 Doppler estimation done, time = 1184.964 Azimuth compression starting, time : 1185.037 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1357.782 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1361.360 seconds. Range compression done, time = 1416.585 Motion comp. coeff. calculated, time = 1416.605 Motion comp. added to patch, time = 1454.406 Doppler estimation done, time = 1454.406 Azimuth compression starting, time : 1454.480 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1627.578 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1640.677 seconds. Range compression done, time = 1694.375 Motion comp. coeff. calculated, time = 1694.396 Motion comp. added to patch, time = 1733.009 Doppler estimation done, time = 1733.009 Azimuth compression starting, time : 1733.083 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1905.489 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1908.712 seconds. Range compression done, time = 1963.798 Motion comp. coeff. calculated, time = 1963.818 Motion comp. added to patch, time = 2001.714 Doppler estimation done, time = 2001.714 Azimuth compression starting, time : 2001.787 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2175.184 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2179.500 seconds. Range compression done, time = 2233.990 Motion comp. coeff. calculated, time = 2234.011 Motion comp. added to patch, time = 2272.656 Doppler estimation done, time = 2272.656 Azimuth compression starting, time : 2272.731 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2445.961 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2453.539 seconds. Range compression done, time = 2507.491 Motion comp. coeff. calculated, time = 2507.511 Motion comp. added to patch, time = 2546.154 Doppler estimation done, time = 2546.154 Azimuth compression starting, time : 2546.238 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2718.711 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_c.vv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_c.vv Name of the doppler parameter file? /data3/airops/cm5279_c.dop Name of the deskew file? /data3/airops/deskew.cv Line up to another frequency [y/n]? n Name of the output file? /data8/airops/cm5279_c.vv Name of the line output file? /data4/airops/lines.dat Deskewing 10 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 0 1 1105 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1104 Processing block number 2 1105 1899 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1898 1899 3003 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3002 Processing block number 3 3003 3785 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3784 3785 4889 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4888 Processing block number 4 4889 5663 -10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5662 5663 6767 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6766 Processing block number 5 6767 7544 -7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7543 7544 8648 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8647 Processing block number 6 8648 9431 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9430 9431 10535 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10534 Processing block number 7 10535 11322 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11321 11322 12426 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12425 Processing block number 8 138 925 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13212 925 2029 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14316 Processing block number 9 2029 2817 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15104 2817 3921 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16208 Processing block number 10 3921 4106 10 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16393 4106 5210 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17497 Writing the last 1807 lines Total # of output lines = 19304 Writing new header.. Closing files .. Enter single look lines filename: Enter single look image filename: Enter output lines filename: Enter number of looks: Multi-looking lines.dat file... Total number of lines written to output file: 1072 *************************************** ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Multi-look Program ***** ***** ***** *************************************** Enter the name of the Shh input file. Enter the name of the complex HV file. Enter the name of the complex VH file. Enter the name of the complex VV file. Calculating the ratio of HV and VH.... Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the number of looks in azimuth. writing parhead writing parhead 0 writing parhead 94050 writing parheadC writing parhead 20.0 writing parhead 94.09999 writing parhead 93.59999 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9487174 94.86148 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 18901 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .010 .264 .570 .883 .637 .444 .113 .124 .099 .345 .644 .660 .359 .262 .038 .006 .104 .346 .788 .547 .110 .076 .032 .000 .024 .212 .780 .886 .125 .024 .006 .009 .039 .151 .556 1.000 .518 .061 .032 .205 .041 .038 .320 .686 .723 .296 .003 .092 .000 .010 .111 .429 .474 .497 .170 .033 .038 .002 .070 .474 .444 .543 .138 .024 .227 .048 .100 .502 .600 .671 .118 .002 r_peak,r_snr = .1002998 5.04755 Correlation Surface of oversamples image at 146 3046 .050 .108 .261 .359 .304 .234 .223 .248 .246 .060 .137 .349 .475 .335 .171 .113 .122 .145 .066 .182 .497 .736 .540 .229 .085 .058 .072 .079 .224 .602 .969 .831 .404 .125 .038 .024 .111 .265 .601 .980 1.000 .639 .250 .057 .006 .146 .290 .534 .813 .939 .793 .448 .143 .012 .140 .275 .459 .636 .758 .765 .591 .298 .071 .068 .191 .375 .512 .581 .620 .588 .438 .224 .005 .077 .268 .431 .470 .486 .520 .520 .420 146 -12.281 3046 5.344 5.04755 .151536 .511747 -.240600 Correlation Surface at 246 3046 .003 .033 .001 .239 .730 .319 .001 .040 .008 .008 .044 .000 .298 .760 .267 .004 .067 .001 .001 .009 .022 .412 .815 .211 .006 .071 .023 .003 .000 .039 .471 .961 .249 .014 .085 .082 .000 .010 .021 .366 1.000 .474 .003 .048 .057 .003 .014 .013 .178 .506 .370 .064 .001 .005 .002 .012 .053 .086 .195 .167 .016 .001 .002 .001 .083 .165 .126 .227 .217 .003 .023 .000 .005 .124 .257 .218 .266 .192 .023 .026 .009 r_peak,r_snr = .1259369 9.58236 Correlation Surface of oversamples image at 246 3046 .026 .216 .579 .830 .634 .221 .013 .025 .105 .026 .199 .534 .785 .612 .191 .002 .063 .167 .032 .203 .541 .821 .684 .229 .001 .101 .260 .043 .226 .591 .928 .854 .367 .022 .069 .268 .052 .233 .595 .977 1.000 .559 .110 .008 .150 .042 .179 .457 .811 .935 .646 .231 .014 .034 .023 .091 .240 .485 .645 .517 .243 .047 .002 .013 .033 .091 .223 .343 .288 .135 .025 .002 .018 .018 .042 .119 .193 .145 .043 .000 .021 246 .281 3046 1.000 9.58236 .018961 .079984 -.014284 Correlation Surface at 346 3046 .024 .034 .026 .003 .016 .194 .589 .206 .014 .001 .001 .045 .000 .028 .222 .020 .092 .051 .010 .061 .012 .040 .186 .020 .004 .125 .139 .380 .330 .271 .282 .209 .052 .038 .203 .777 1.000 .641 .404 .529 .066 .022 .143 .384 .670 .664 .577 .581 .067 .009 .123 .140 .161 .282 .475 .277 .148 .029 .025 .134 .049 .007 .129 .126 .124 .024 .000 .034 .000 .144 .002 .048 r_peak,r_snr = 9.20379E-02 9.78157 Correlation Surface of oversamples image at 346 3046 .097 .143 .151 .097 .034 .013 .024 .071 .108 .159 .208 .253 .237 .157 .095 .098 .152 .194 .200 .293 .420 .495 .425 .292 .224 .236 .266 .190 .349 .587 .790 .780 .580 .384 .294 .286 .133 .311 .605 .903 1.000 .825 .541 .345 .284 .072 .192 .425 .707 .886 .838 .618 .404 .307 .029 .077 .188 .354 .517 .581 .523 .414 .336 .007 .018 .049 .107 .188 .262 .311 .331 .317 .000 .002 .010 .024 .045 .073 .119 .184 .223 346 10.969 3046 2.094 9.78157 .141370 .044022 -.024548 Correlation Surface at 446 3046 .000 .165 .013 .426 .569 .283 .001 .194 .140 .012 .090 .022 .473 1.000 .401 .027 .064 .034 .000 .124 .032 .174 .705 .519 .138 .001 .014 .003 .257 .127 .004 .043 .138 .194 .008 .083 .024 .108 .134 .002 .010 .000 .133 .021 .053 .119 .002 .041 .000 .000 .025 .152 .026 .000 r_peak,r_snr = 8.43376E-02 11.65411 Correlation Surface of oversamples image at 446 3046 .146 .332 .416 .411 .385 .342 .207 .037 .010 .000 .090 .256 .377 .431 .424 .307 .094 .002 .112 .004 .168 .413 .545 .537 .407 .161 .001 .245 .004 .150 .541 .775 .734 .525 .224 .011 .252 .008 .147 .637 1.000 .953 .653 .287 .033 .186 .006 .109 .527 .943 .987 .719 .350 .069 .140 .008 .038 .241 .539 .698 .627 .386 .121 .137 .022 .000 .032 .142 .297 .416 .393 .210 .163 .050 .023 .011 .001 .052 .206 .362 .330 446 -.781 3046 -13.750 11.65412 .044363 .110669 -.025773 Correlation Surface at 546 3046 .289 .276 .257 .391 .470 .463 .417 .387 .436 .271 .281 .275 .339 .435 .513 .482 .344 .367 .264 .276 .295 .422 .603 .685 .642 .370 .307 .227 .284 .372 .603 .933 .938 .711 .421 .311 .187 .244 .425 .656 1.000 .984 .617 .348 .304 .221 .224 .319 .507 .832 .932 .547 .234 .221 .259 .258 .254 .413 .724 .936 .540 .185 .172 .242 .256 .243 .341 .603 .800 .537 .213 .236 .251 .278 .232 .278 .519 .701 .474 .231 .295 r_peak,r_snr = .2517329 2.96683 Correlation Surface of oversamples image at 546 3046 .353 .419 .472 .516 .585 .697 .783 .756 .617 .352 .463 .572 .642 .702 .779 .821 .760 .617 .373 .525 .693 .797 .841 .864 .834 .716 .567 .403 .578 .792 .926 .956 .927 .829 .659 .498 .415 .588 .815 .970 1.000 .946 .813 .611 .434 .398 .550 .762 .930 .983 .940 .800 .582 .389 .366 .493 .671 .844 .941 .935 .803 .570 .360 .337 .445 .586 .752 .896 .942 .820 .570 .341 .319 .417 .532 .683 .855 .951 .849 .584 .335 546 -.594 3046 -5.938 2.96683 .035854 .086388 -.010164 Correlation Surface at 646 3046 .496 .539 .478 .448 .531 .637 .661 .646 .598 .500 .500 .391 .424 .557 .560 .664 .675 .613 .349 .375 .303 .424 .646 .534 .578 .623 .501 .275 .319 .338 .569 .837 .610 .550 .631 .496 .311 .324 .450 .770 1.000 .725 .552 .613 .637 .302 .265 .457 .830 .931 .659 .471 .486 .574 .303 .225 .358 .784 .845 .505 .420 .440 .427 .421 .324 .380 .726 .824 .472 .415 .502 .403 .471 .430 .456 .654 .688 .517 .482 .580 .469 r_peak,r_snr = .2595069 2.2109 Correlation Surface of oversamples image at 646 3046 .282 .310 .380 .463 .511 .495 .424 .376 .396 .291 .355 .453 .555 .606 .568 .464 .383 .377 .315 .431 .578 .705 .750 .676 .530 .418 .387 .346 .509 .712 .869 .907 .797 .608 .465 .412 .375 .560 .796 .971 1.000 .873 .663 .499 .429 .397 .584 .815 .974 .985 .858 .660 .500 .426 .403 .591 .799 .917 .895 .767 .599 .469 .410 .392 .582 .783 .871 .808 .658 .510 .419 .389 .381 .567 .775 .866 .776 .590 .436 .371 .374 646 -.188 3046 .219 2.21090 .020678 .086023 .013667 Correlation Surface at 746 3046 .051 .000 .035 .068 .059 .010 .022 .145 .327 .151 .006 .003 .106 .156 .162 .028 .050 .161 .101 .099 .015 .009 .058 .145 .007 .027 .008 .001 .020 .000 .100 .308 .035 .002 .005 .373 .042 .001 .040 .254 1.000 .426 .006 .002 .359 .001 .001 .007 .090 .339 .304 .000 .017 .047 .017 .006 .001 .003 .046 .084 .000 .034 .011 .014 .018 .003 .009 .037 .034 .004 .022 .039 .004 .002 .024 .102 .000 .016 .012 .018 .019 r_peak,r_snr = 7.82743E-02 8.70409 Correlation Surface of oversamples image at 746 3046 .070 .020 .016 .063 .214 .408 .392 .157 .001 .131 .016 .007 .022 .000 .043 .116 .060 .003 .134 .011 .055 .256 .313 .135 .009 .000 .016 .064 .001 .103 .509 .869 .673 .202 .014 .008 .004 .006 .125 .524 1.000 .918 .318 .008 .007 .014 .042 .131 .366 .685 .688 .237 .000 .066 .039 .074 .111 .194 .326 .361 .134 .001 .095 .016 .045 .059 .077 .115 .149 .079 .000 .052 .002 .003 .013 .025 .036 .054 .050 .011 .007 746 -8.813 3046 5.906 8.70409 .031602 .030341 -.006091 Correlation Surface at 846 3046 .054 .014 .028 .304 .590 .311 .022 .001 .001 .045 .023 .009 .203 .627 .268 .000 .026 .004 .020 .030 .001 .184 .639 .299 .004 .097 .042 .021 .042 .000 .287 .797 .345 .000 .092 .058 .041 .053 .001 .314 1.000 .427 .003 .030 .018 .033 .044 .001 .208 .819 .421 .007 .018 .001 .016 .039 .001 .134 .520 .316 .015 .027 .004 .017 .034 .001 .139 .458 .306 .040 .005 .008 .020 .019 .009 .149 .442 .303 .042 .000 .003 r_peak,r_snr = .2268047 15.28904 Correlation Surface of oversamples image at 846 3046 .003 .017 .146 .420 .668 .588 .238 .013 .037 .008 .013 .163 .488 .775 .708 .321 .032 .024 .011 .011 .182 .561 .883 .816 .399 .058 .010 .011 .012 .202 .626 .970 .889 .454 .084 .003 .011 .013 .210 .653 1.000 .906 .473 .100 .000 .012 .011 .194 .617 .944 .851 .452 .105 .000 .015 .006 .154 .516 .805 .733 .400 .099 .000 .019 .001 .103 .384 .630 .593 .337 .091 .000 .018 .000 .065 .272 .482 .483 .292 .091 .002 846 .156 3046 -.094 15.28905 .004537 .043504 -.002352 Correlation Surface at 946 3046 .082 .037 .002 .004 .011 .002 .000 .000 .003 .000 .001 .045 .008 .021 .088 .062 .014 .001 .010 .007 .047 .099 .271 .080 .303 .087 .002 .023 .011 .016 .250 .976 .004 .318 .093 .022 .006 .001 .005 .205 1.000 .044 .148 .004 .002 .005 .026 .039 .158 .672 .045 .007 .082 .108 .066 .096 .065 .103 .477 .149 .055 .217 .239 .130 .170 .125 .053 .287 .342 .204 .261 .149 .035 .072 .080 .004 .086 .323 .222 .286 .133 r_peak,r_snr = .1103863 16.33914 Correlation Surface of oversamples image at 946 3046 .030 .009 .014 .084 .062 .001 .103 .141 .047 .023 .000 .082 .289 .272 .036 .053 .185 .117 .026 .001 .169 .577 .651 .220 .003 .168 .190 .023 .003 .225 .780 .974 .446 .010 .131 .239 .004 .013 .249 .789 1.000 .495 .025 .102 .239 .006 .048 .263 .667 .799 .387 .020 .074 .176 .029 .083 .253 .519 .584 .277 .016 .037 .080 .021 .062 .192 .384 .446 .229 .025 .006 .014 .002 .015 .097 .260 .366 .237 .055 .003 .002 946 -.125 3046 .281 16.33915 .008027 .242675 -.012718 Correlation Surface at 1046 3046 .221 .142 .017 .014 .067 .172 .177 .161 .120 .149 .037 .002 .000 .137 .006 .002 .139 .125 .010 .002 .009 .112 .488 .003 .014 .038 .037 .065 .076 .003 .279 .969 .011 .024 .002 .026 .105 .060 .011 .168 1.000 .042 .110 .010 .080 .087 .015 .004 .037 .426 .014 .175 .047 .062 .110 .008 .090 .008 .032 .008 .049 .022 .035 .002 .031 .141 .003 .016 .008 .000 .001 .002 .025 .216 .279 .035 .005 .007 .027 .023 .014 r_peak,r_snr = 7.65766E-02 9.84797 Correlation Surface of oversamples image at 1046 3046 .004 .035 .294 .556 .469 .194 .017 .009 .020 .001 .058 .401 .765 .645 .238 .008 .040 .070 .000 .071 .454 .925 .841 .315 .007 .065 .107 .001 .049 .388 .931 .997 .445 .022 .055 .101 .008 .012 .231 .746 1.000 .570 .062 .028 .076 .016 .000 .085 .462 .812 .577 .096 .014 .066 .004 .002 .021 .228 .533 .443 .083 .013 .076 .009 .001 .006 .090 .274 .251 .039 .023 .099 .061 .020 .004 .022 .095 .094 .006 .042 .126 1046 -.188 3046 1.063 9.84797 .014405 .156253 -.012022 Correlation Surface at 1146 3046 .036 .002 .029 .029 .002 .027 .025 .209 .296 .027 .002 .026 .007 .004 .001 .000 .046 .316 .008 .012 .012 .041 .003 .026 .021 .005 .193 .067 .004 .055 .604 .392 .005 .013 .002 .028 .031 .074 .276 .979 1.000 .291 .042 .006 .041 .086 .005 .234 .796 .722 .315 .077 .000 .021 .420 .050 .077 .321 .110 .002 .004 .014 .104 .445 .066 .051 .090 .001 .068 .000 .066 .284 .285 .022 .223 .194 .011 .007 .009 .035 .060 r_peak,r_snr = 8.60593E-02 10.66862 Correlation Surface of oversamples image at 1146 3046 .060 .051 .013 .001 .011 .005 .000 .002 .001 .067 .032 .001 .068 .102 .031 .002 .025 .014 .036 .002 .060 .303 .398 .169 .003 .027 .028 .003 .012 .177 .579 .787 .455 .072 .001 .014 .008 .061 .275 .711 1.000 .742 .254 .033 .001 .034 .116 .325 .696 .974 .855 .453 .162 .045 .036 .130 .323 .610 .806 .749 .493 .259 .104 .012 .097 .277 .500 .596 .512 .340 .203 .094 .000 .049 .193 .365 .389 .265 .137 .076 .040 1146 5.563 3046 -10.281 10.66863 .080250 .066286 -.024736 Correlation Surface at 1246 3046 .042 .200 .233 .004 .134 .107 .059 .239 .420 .080 .118 .017 .015 .213 .179 .114 .070 .187 .091 .075 .018 .214 .284 .008 .008 .019 .041 .075 .231 .000 .387 .649 .015 .000 .004 .000 .012 .481 .089 .202 1.000 .228 .076 .000 .023 .009 .391 .086 .004 .431 .429 .243 .086 .000 .141 .459 .066 .048 .001 .075 .273 .203 .040 r_peak,r_snr = 7.08880E-02 10.95418 Correlation Surface of oversamples image at 1246 3046 .002 .018 .053 .077 .106 .131 .110 .057 .034 .001 .046 .153 .209 .207 .147 .043 .000 .008 .007 .046 .258 .423 .397 .222 .033 .013 .052 .036 .022 .317 .678 .719 .431 .097 .001 .023 .098 .001 .247 .760 1.000 .749 .292 .044 .005 .144 .012 .099 .525 .943 .946 .565 .209 .092 .115 .036 .007 .172 .515 .764 .675 .385 .215 .074 .053 .021 .001 .087 .296 .433 .364 .256 .073 .072 .100 .092 .022 .008 .084 .147 .174 1246 1.625 3046 11.781 10.95419 .037079 .115637 -.040066 Correlation Surface at 1346 3046 .194 .158 .177 .407 .434 .144 .016 .019 .022 .333 .297 .147 .281 .504 .203 .041 .011 .011 .298 .381 .174 .283 .593 .293 .095 .000 .003 .183 .271 .288 .507 .841 .517 .205 .020 .000 .081 .089 .251 .691 1.000 .656 .198 .019 .004 .095 .061 .112 .497 .893 .572 .128 .001 .039 .168 .111 .069 .235 .507 .428 .152 .000 .061 .127 .115 .070 .198 .310 .326 .180 .013 .026 .050 .057 .078 .320 .452 .275 .093 .005 .000 r_peak,r_snr = .1415998 10.10648 Correlation Surface of oversamples image at 1346 3046 .137 .173 .310 .507 .565 .430 .263 .154 .084 .218 .279 .427 .619 .689 .558 .361 .224 .139 .295 .422 .599 .768 .817 .688 .465 .288 .181 .311 .527 .762 .920 .933 .794 .548 .322 .182 .242 .508 .804 .994 1.000 .846 .578 .312 .142 .146 .379 .681 .919 .967 .816 .540 .264 .092 .081 .236 .470 .708 .812 .703 .452 .205 .058 .054 .149 .297 .469 .586 .544 .359 .162 .045 .050 .117 .211 .312 .400 .408 .299 .151 .051 1346 -.219 3046 -4.906 10.10648 .043563 .259686 -.010874 Correlation Surface at 1446 3046 .000 .002 .001 .159 .567 .243 .013 .009 .088 .093 .043 .006 .414 .766 .172 .002 .022 .180 .092 .127 .007 .496 .934 .486 .051 .156 .253 .001 .011 .025 .458 .899 .770 .269 .248 .272 .000 .032 .128 .595 1.000 .552 .222 .113 .102 .002 .014 .083 .438 .804 .400 .205 .116 .026 .057 .000 .004 .045 .270 .250 .235 .172 .075 .103 .002 .046 .003 .183 .151 .178 .190 .134 .250 .029 .004 .022 .393 .137 .042 .188 .102 r_peak,r_snr = .1043512 7.14533 Correlation Surface of oversamples image at 1446 3046 .102 .344 .557 .591 .410 .162 .020 .001 .002 .138 .419 .644 .702 .530 .238 .046 .002 .003 .160 .446 .676 .797 .726 .447 .169 .048 .042 .191 .474 .707 .874 .917 .725 .402 .178 .120 .249 .529 .767 .930 1.000 .889 .594 .308 .180 .311 .573 .808 .938 .946 .837 .600 .336 .184 .334 .561 .776 .887 .840 .695 .496 .296 .167 .285 .469 .660 .777 .737 .587 .417 .271 .176 .163 .300 .469 .602 .614 .514 .380 .271 .203 1446 .500 3046 -7.938 7.14533 .056368 .441964 .067010 Correlation Surface at 1546 3046 .005 .007 .003 .126 .735 .568 .165 .070 .242 .002 .046 .003 .106 .669 .326 .290 .159 .100 .000 .112 .036 .089 .583 .261 .315 .276 .130 .003 .060 .061 .167 .798 .343 .243 .406 .331 .014 .013 .037 .182 1.000 .549 .144 .298 .426 .017 .021 .024 .105 .776 .759 .273 .254 .226 .003 .032 .031 .092 .410 .621 .427 .474 .232 .012 .000 .024 .194 .315 .333 .256 .409 .410 .012 .022 .016 .227 .415 .283 .126 .106 .355 r_peak,r_snr = .1228577 8.15763 Correlation Surface of oversamples image at 1546 3046 .001 .069 .352 .602 .524 .317 .214 .219 .238 .003 .059 .342 .673 .652 .422 .283 .270 .302 .012 .074 .376 .794 .836 .559 .350 .298 .333 .029 .099 .408 .876 .982 .668 .384 .290 .318 .037 .107 .384 .834 1.000 .713 .393 .265 .278 .026 .080 .291 .671 .877 .695 .408 .261 .251 .011 .041 .180 .466 .678 .624 .431 .293 .261 .006 .020 .107 .302 .483 .522 .439 .342 .304 .014 .029 .094 .220 .347 .417 .410 .359 .335 1546 .375 3046 1.750 8.15763 .015894 .151806 -.020758 Correlation Surface at 1646 3046 .085 .035 .029 .010 .036 .017 .000 .423 .037 .113 .075 .070 .074 .025 .029 .143 .071 .084 .060 .154 .154 .233 .072 .003 .040 .000 .097 .005 .075 .203 .356 .393 .123 .032 .009 .174 .122 .003 .054 .397 1.000 .529 .111 .019 .290 .001 .000 .005 .121 .789 .620 .232 .046 .252 .210 .068 .002 .001 .163 .233 .150 .078 .222 .261 .167 .041 .004 .084 .045 .003 .060 .423 .146 .242 .238 .084 .200 .210 .013 .052 .344 r_peak,r_snr = 7.60477E-02 6.95907 Correlation Surface of oversamples image at 1646 3046 .020 .082 .104 .013 .023 .073 .088 .116 .159 .061 .167 .274 .164 .027 .000 .001 .015 .073 .071 .215 .459 .491 .298 .159 .079 .012 .014 .035 .187 .557 .838 .739 .507 .271 .070 .000 .002 .101 .494 .958 1.000 .734 .392 .106 .001 .012 .023 .317 .800 .924 .691 .378 .116 .005 .058 .004 .107 .459 .610 .470 .273 .111 .020 .122 .089 .000 .120 .238 .198 .124 .073 .041 .167 .230 .080 .000 .032 .031 .018 .019 .040 1646 1.313 3046 10.094 6.95907 .069981 .113644 -.047341 Correlation Surface at 1746 3046 .020 .108 .104 .045 .002 .011 .009 .109 .128 .041 .298 .136 .037 .000 .019 .006 .049 .042 .000 .238 .012 .073 .281 .115 .095 .075 .001 .014 .024 .052 .044 .856 .421 .259 .637 .118 .019 .067 .145 .009 1.000 .768 .223 .521 .151 .118 .223 .184 .002 .609 .733 .406 .269 .002 .393 .183 .081 .008 .180 .263 .401 .344 .031 .398 .206 .020 .012 .026 .120 .101 .139 .174 .076 .150 .041 .007 .021 .190 .123 .045 .334 r_peak,r_snr = 7.93604E-02 9.33626 Correlation Surface of oversamples image at 1746 3046 .020 .109 .307 .376 .256 .158 .154 .155 .092 .000 .082 .430 .656 .494 .302 .265 .294 .272 .014 .047 .466 .873 .732 .430 .309 .329 .385 .029 .025 .422 .949 .910 .542 .314 .269 .338 .024 .024 .368 .905 1.000 .662 .359 .236 .246 .009 .041 .342 .795 .962 .752 .471 .291 .219 .002 .059 .310 .638 .795 .728 .571 .412 .275 .000 .051 .225 .439 .551 .558 .531 .474 .358 .000 .024 .105 .229 .308 .330 .353 .381 .365 1746 .281 3046 -1.125 9.33626 .023802 .222383 -.025189 Correlation Surface at 1846 3046 .028 .000 .068 .261 .449 .207 .090 .014 .005 .037 .001 .071 .345 .419 .221 .159 .083 .000 .054 .004 .097 .538 .568 .241 .177 .169 .013 .029 .001 .110 .708 .852 .268 .124 .135 .034 .006 .000 .087 .726 1.000 .396 .155 .090 .012 .001 .006 .117 .648 .932 .466 .218 .059 .000 .002 .018 .122 .517 .821 .508 .185 .023 .004 .013 .037 .130 .502 .709 .502 .120 .000 .001 .000 .063 .258 .671 .709 .421 .098 .009 .000 r_peak,r_snr = .1782663 8.33718 Correlation Surface of oversamples image at 1846 3046 .023 .142 .376 .598 .621 .459 .289 .199 .180 .031 .162 .415 .665 .708 .523 .310 .196 .172 .045 .201 .490 .769 .826 .629 .385 .242 .196 .067 .254 .578 .876 .938 .743 .494 .333 .256 .094 .306 .642 .938 1.000 .818 .585 .424 .320 .107 .321 .636 .917 .998 .843 .624 .463 .343 .098 .283 .555 .818 .945 .847 .635 .452 .317 .084 .231 .449 .681 .848 .829 .638 .422 .263 .082 .209 .385 .569 .723 .759 .616 .386 .202 1846 -.125 3046 1.688 8.33718 .017303 .252979 -.029277 Correlation Surface at 1946 3046 .000 .002 .002 .064 .107 .004 .043 .088 .101 .008 .015 .010 .117 .231 .018 .077 .141 .051 .051 .084 .058 .098 .382 .055 .072 .167 .033 .068 .194 .143 .072 .624 .160 .036 .179 .101 .008 .142 .128 .139 1.000 .301 .002 .059 .091 .000 .077 .065 .186 .964 .268 .006 .028 .023 .010 .103 .030 .160 .594 .094 .074 .107 .039 .001 .080 .033 .119 .390 .013 .207 .214 .070 .017 .020 .017 .068 .296 .003 .213 .277 .089 r_peak,r_snr = .1711309 20.78538 Correlation Surface of oversamples image at 1946 3046 .074 .016 .025 .199 .313 .209 .053 .000 .038 .109 .027 .027 .267 .467 .342 .101 .001 .036 .137 .032 .038 .368 .674 .529 .180 .009 .023 .149 .032 .055 .478 .882 .721 .270 .027 .009 .142 .027 .074 .555 1.000 .826 .324 .041 .003 .116 .018 .088 .567 .975 .792 .306 .036 .003 .081 .009 .092 .514 .839 .653 .232 .016 .013 .054 .003 .086 .424 .658 .480 .140 .001 .045 .039 .001 .075 .333 .491 .327 .065 .007 .100 1946 .125 3046 -.844 20.78539 .004669 .065350 .000804 Correlation Surface at 2046 3046 .326 .187 .001 .281 .274 .091 .030 .000 .083 .350 .189 .029 .082 .338 .064 .007 .014 .010 .241 .252 .120 .017 .406 .065 .001 .002 .032 .069 .261 .241 .056 .735 .070 .026 .002 .008 .001 .066 .156 .096 1.000 .188 .016 .004 .000 .001 .020 .114 .015 .458 .041 .082 .022 .000 .013 .146 .253 .020 .029 .083 .522 .096 .007 .037 .188 .348 .091 .002 .095 .581 .144 .002 .001 .036 .116 .030 .035 .001 .118 .011 .025 r_peak,r_snr = 9.40963E-02 10.43082 Correlation Surface of oversamples image at 2046 3046 .345 .168 .008 .064 .216 .222 .109 .024 .000 .366 .156 .000 .133 .361 .353 .162 .031 .000 .326 .102 .013 .299 .615 .542 .227 .036 .000 .290 .067 .053 .492 .887 .752 .310 .046 .000 .286 .061 .075 .578 1.000 .855 .372 .057 .000 .309 .077 .058 .505 .858 .730 .326 .043 .006 .354 .115 .020 .314 .533 .415 .153 .005 .042 .424 .184 .000 .118 .214 .126 .013 .025 .146 .485 .270 .033 .012 .043 .009 .019 .145 .307 2046 .125 3046 -.031 10.43083 .010903 .062288 -.000828 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .029 .005 .095 .065 .042 .072 .071 .001 .029 .039 .033 .231 .096 .025 .040 .045 .001 .000 .000 .026 .342 .377 .100 .028 .003 .001 .006 .063 .012 .240 .843 .577 .101 .002 .027 .000 .095 .020 .147 .856 1.000 .205 .003 .040 .020 .063 .027 .182 .669 .790 .110 .021 .012 .006 .094 .078 .245 .480 .433 .049 .022 .000 .000 .157 .165 .240 .291 .223 .068 .000 .000 .005 .037 .082 .181 .259 .184 .083 .002 .001 .014 r_peak,r_snr = .1292956 15.34641 Correlation Surface of oversamples image at 146 3446 .000 .101 .374 .570 .479 .271 .123 .046 .011 .007 .063 .391 .725 .699 .440 .207 .066 .008 .011 .047 .382 .807 .880 .620 .314 .099 .007 .003 .052 .372 .823 .980 .753 .397 .119 .005 .001 .079 .382 .807 1.000 .805 .422 .108 .000 .014 .118 .389 .735 .910 .748 .384 .079 .002 .041 .151 .355 .584 .706 .595 .310 .057 .006 .075 .162 .282 .399 .467 .418 .240 .051 .002 .104 .152 .205 .256 .288 .280 .192 .059 .001 146 .469 3446 -1.656 15.34641 .019826 .054529 -.003681 Correlation Surface at 246 3446 .078 .093 .160 .366 .426 .199 .110 .123 .126 .095 .087 .125 .353 .523 .287 .159 .149 .142 .081 .132 .195 .448 .691 .401 .219 .185 .139 .050 .181 .345 .656 .919 .515 .245 .170 .109 .050 .129 .311 .699 1.000 .599 .242 .154 .074 .104 .135 .243 .547 .797 .550 .205 .148 .079 .124 .181 .257 .422 .571 .417 .178 .132 .091 .073 .133 .235 .381 .490 .346 .200 .162 .111 .052 .071 .153 .314 .490 .361 .240 .207 .132 r_peak,r_snr = .2919497 7.01948 Correlation Surface of oversamples image at 246 3446 .142 .210 .337 .482 .536 .449 .302 .182 .119 .210 .288 .429 .595 .656 .539 .349 .202 .125 .293 .386 .549 .737 .803 .657 .414 .229 .134 .347 .464 .654 .860 .932 .775 .497 .273 .154 .354 .501 .720 .932 1.000 .851 .573 .328 .188 .328 .497 .732 .933 .983 .849 .598 .362 .219 .299 .466 .688 .859 .890 .772 .558 .349 .220 .279 .420 .598 .731 .753 .657 .479 .301 .193 .274 .372 .491 .585 .612 .545 .402 .252 .162 246 -.094 3446 -.313 7.01948 .008004 .041330 -.003279 Correlation Surface at 346 3446 .456 .500 .192 .019 .088 .063 .002 .182 .601 .488 .289 .152 .000 .505 .353 .036 .028 .008 .636 .237 .007 .104 .627 .235 .000 .236 .790 .178 .201 .024 .653 .991 .110 .324 .010 .305 .028 .267 .002 .518 1.000 .184 .592 .677 .022 .170 .627 .151 .063 .253 .103 .258 .616 .156 .100 .467 .164 .000 .000 .000 .007 .142 .214 .007 .091 .032 .148 .205 .109 .001 .041 .211 .019 .034 .154 .063 .461 .245 .010 .014 .015 r_peak,r_snr = 6.21570E-02 6.21627 Correlation Surface of oversamples image at 346 3446 .367 .151 .002 .064 .120 .054 .002 .011 .025 .298 .105 .008 .257 .441 .256 .051 .000 .001 .197 .055 .040 .476 .861 .598 .174 .019 .006 .094 .013 .069 .529 1.000 .772 .248 .031 .009 .022 .003 .116 .468 .811 .600 .159 .004 .001 .000 .065 .225 .463 .608 .354 .038 .034 .097 .006 .148 .364 .542 .546 .235 .001 .188 .401 .000 .137 .410 .614 .598 .256 .000 .318 .772 346 -2.406 3446 .438 6.21627 .054055 .139456 -.033252 Correlation Surface at 446 3446 .174 .061 .006 .051 .430 .207 .024 .123 .122 .000 .020 .025 .056 .346 .258 .000 .047 .054 .093 .019 .004 .046 .199 .425 .137 .025 .023 .006 .049 .076 .417 .459 .537 .318 .124 .180 .000 .048 .261 .960 1.000 .437 .183 .160 .211 .035 .162 .439 .733 .698 .264 .013 .016 .062 .008 .139 .529 .632 .353 .235 .008 .030 .000 .024 .040 .149 .231 .177 .304 .153 .012 .000 .118 .006 .003 .042 .000 .099 .130 .056 .001 r_peak,r_snr = 7.57890E-02 7.906 Correlation Surface of oversamples image at 446 3446 .026 .030 .078 .157 .213 .284 .439 .608 .573 .080 .119 .214 .333 .370 .372 .448 .583 .612 .165 .264 .410 .596 .632 .525 .458 .491 .521 .263 .414 .591 .822 .888 .687 .468 .391 .374 .361 .548 .724 .928 1.000 .776 .471 .320 .253 .437 .662 .812 .906 .906 .705 .430 .266 .171 .436 .720 .856 .825 .709 .520 .335 .219 .128 .339 .643 .791 .698 .501 .324 .225 .182 .124 .192 .405 .533 .467 .301 .176 .141 .160 .150 446 -1.625 3446 8.500 7.90600 .186971 .108648 .065705 Correlation Surface at 546 3446 .001 .003 .092 .362 .722 .494 .270 .277 .243 .018 .011 .083 .346 .801 .592 .174 .153 .133 .027 .048 .119 .367 .735 .618 .139 .058 .100 .010 .069 .212 .535 .944 .723 .328 .125 .161 .006 .040 .206 .554 1.000 .748 .557 .357 .210 .000 .006 .156 .505 .879 .781 .589 .443 .168 .001 .000 .104 .499 .839 .854 .687 .550 .196 .002 .001 .052 .370 .785 .856 .728 .676 .282 .009 .022 .075 .291 .845 .940 .576 .490 .309 r_peak,r_snr = .1829528 5.16504 Correlation Surface of oversamples image at 546 3446 .562 1.123 1.777 2.209 2.334 2.215 1.916 1.626 1.365 .505 1.148 1.984 2.507 2.528 2.317 2.023 1.790 1.605 .345 .967 2.008 2.799 2.822 2.414 1.980 1.724 1.627 .239 .761 1.908 3.094 3.328 2.723 1.991 1.556 1.445 546 .438 3446 3.844 5.16504 .022094 .322019 -.013561 Correlation Surface at 646 3446 .199 .447 .476 .243 .340 .357 .230 .221 .218 .291 .442 .592 .359 .363 .357 .194 .146 .201 .393 .457 .656 .703 .632 .474 .229 .092 .139 .389 .479 .641 .810 .978 .683 .379 .146 .110 .338 .428 .559 .677 1.000 .797 .447 .199 .127 .308 .443 .549 .566 .805 .799 .416 .144 .108 .341 .533 .652 .533 .689 .869 .457 .139 .095 .384 .461 .636 .562 .635 .831 .482 .223 .179 .261 .227 .463 .602 .617 .619 .377 .247 .292 r_peak,r_snr = .1984634 2.74742 Correlation Surface of oversamples image at 646 3446 .442 .665 .869 .896 .752 .555 .381 .246 .141 .367 .560 .789 .913 .858 .664 .437 .263 .143 .336 .486 .702 .886 .922 .746 .465 .249 .123 .359 .464 .657 .872 .968 .812 .490 .236 .108 .432 .494 .657 .879 1.000 .858 .522 .248 .117 .507 .535 .665 .860 .969 .845 .539 .280 .153 .541 .552 .644 .784 .852 .753 .520 .313 .204 .555 .571 .631 .707 .725 .644 .481 .338 .263 646 3.000 3446 8.875 2.74742 .043963 .211419 -.052680 Correlation Surface at 746 3446 .033 .079 .106 .135 .220 .455 .104 .004 .120 .156 .058 .112 .268 .133 .075 .038 .001 .023 .140 .008 .024 .235 .162 .005 .007 .005 .035 .096 .004 .016 .326 .595 .114 .051 .145 .073 .086 .019 .014 .329 1.000 .398 .085 .196 .067 .065 .007 .008 .092 .729 .564 .075 .015 .006 .169 .052 .008 .051 .519 .778 .233 .003 .013 .229 .263 .065 .213 .537 .905 .556 .146 .014 .034 .196 .282 .304 .389 .478 .355 .320 .286 r_peak,r_snr = 9.87173E-02 7.65214 Correlation Surface of oversamples image at 746 3446 .068 .254 .627 .777 .483 .161 .031 .004 .007 .063 .247 .649 .902 .645 .250 .048 .001 .002 .061 .241 .638 .973 .835 .432 .139 .019 .001 .070 .246 .602 .955 .977 .688 .364 .139 .021 .098 .255 .543 .854 1.000 .892 .648 .376 .144 .142 .257 .454 .685 .873 .894 .753 .525 .281 .236 .301 .421 .581 .742 .785 .679 .516 .351 746 -.750 3446 -5.031 7.65214 .030089 .106364 -.030957 Correlation Surface at 846 3446 .016 .004 .003 .022 .237 .128 .002 .031 .033 .028 .011 .004 .024 .322 .201 .003 .031 .032 .013 .014 .006 .036 .362 .251 .029 .008 .027 .001 .001 .002 .166 .631 .294 .019 .002 .024 .001 .025 .033 .326 1.000 .378 .012 .003 .017 .007 .006 .030 .227 .889 .467 .056 .000 .017 .016 .000 .017 .150 .581 .398 .137 .006 .017 .012 .004 .045 .189 .377 .164 .081 .014 .005 .014 .014 .048 .164 .247 .063 .008 .000 .001 r_peak,r_snr = .2055524 22.26489 Correlation Surface of oversamples image at 846 3446 .009 .016 .043 .126 .257 .284 .152 .036 .001 .014 .035 .092 .211 .346 .334 .156 .027 .000 .026 .064 .186 .393 .551 .466 .196 .027 .000 .044 .093 .287 .620 .830 .671 .293 .050 .000 .061 .099 .312 .726 1.000 .831 .410 .104 .007 .066 .082 .251 .633 .937 .836 .480 .179 .038 .063 .065 .174 .456 .723 .696 .461 .235 .090 .064 .062 .130 .317 .505 .503 .366 .241 .141 .080 .080 .125 .242 .348 .331 .242 .193 .161 846 .063 3446 .125 22.26489 .005097 .033771 -.000935 Correlation Surface at 946 3446 .005 .003 .001 .176 .571 .267 .000 .028 .007 .002 .005 .005 .064 .348 .225 .034 .138 .022 .001 .005 .000 .090 .323 .139 .143 .243 .012 .004 .010 .002 .181 .675 .268 .066 .223 .000 .010 .008 .002 .161 1.000 .491 .004 .143 .003 .010 .001 .004 .128 .964 .402 .008 .078 .002 .001 .017 .012 .203 .631 .193 .007 .019 .004 .004 .020 .031 .274 .428 .117 .001 .001 .026 .022 .001 .014 .181 .295 .112 .020 .001 .036 r_peak,r_snr = .1277889 15.69092 Correlation Surface of oversamples image at 946 3446 .006 .007 .088 .241 .352 .323 .151 .002 .107 .002 .021 .154 .390 .544 .468 .214 .010 .086 .000 .043 .233 .565 .795 .686 .326 .035 .046 .000 .055 .270 .667 .976 .863 .419 .062 .020 .000 .045 .244 .648 1.000 .903 .435 .068 .009 .000 .034 .197 .563 .897 .807 .373 .053 .006 .005 .040 .183 .490 .749 .640 .280 .035 .005 .021 .068 .211 .467 .625 .489 .206 .029 .002 .039 .096 .242 .454 .538 .388 .169 .034 .000 946 .156 3446 -.656 15.69092 .011367 .168309 -.010216 Correlation Surface at 1046 3446 .011 .230 .013 .017 .105 .059 .024 .146 .023 .010 .149 .038 .021 .236 .000 .125 .156 .027 .003 .001 .000 .053 .322 .004 .209 .073 .009 .055 .258 .225 .034 .674 .051 .074 .046 .001 .043 .411 .645 .001 1.000 .354 .003 .027 .004 .000 .050 .229 .014 .383 .296 .060 .002 .001 .004 .037 .003 .022 .023 .050 .058 .076 .028 .000 .051 .022 .030 .002 .002 .012 .094 .059 .010 .032 .019 .012 .002 .000 .005 .005 .009 r_peak,r_snr = .1039741 14.35937 Correlation Surface of oversamples image at 1046 3446 .009 .070 .255 .467 .439 .142 .009 .331 .752 .021 .019 .247 .573 .592 .248 .002 .211 .665 .157 .001 .199 .660 .793 .433 .056 .065 .430 .335 .026 .138 .687 .992 .675 .190 .001 .187 .364 .048 .085 .583 1.000 .824 .336 .030 .036 .187 .023 .060 .395 .739 .712 .371 .090 .001 .016 .000 .066 .240 .404 .416 .259 .104 .034 .038 .045 .085 .146 .173 .157 .105 .061 .055 .163 .098 .080 .082 .061 .034 .019 .016 .041 1046 .063 3446 -.188 14.35938 .008719 .039010 -.005799 Correlation Surface at 1146 3446 .064 .390 .668 .330 .099 .080 .075 .258 .187 .208 .486 .581 .320 .204 .144 .170 .337 .251 .136 .256 .283 .438 .345 .088 .163 .189 .195 .047 .065 .145 .689 .806 .160 .177 .094 .127 .047 .041 .099 .618 1.000 .393 .335 .148 .119 .064 .111 .110 .273 .524 .357 .422 .321 .235 .035 .230 .265 .122 .228 .185 .204 .267 .478 .037 .214 .363 .128 .172 .117 .041 .110 .573 .259 .383 .444 .124 .127 .131 .044 .092 .417 r_peak,r_snr = .1056138 5.72903 Correlation Surface of oversamples image at 1146 3446 .729 .583 .394 .276 .245 .236 .189 .133 .117 .544 .447 .388 .388 .396 .348 .253 .185 .181 .309 .272 .351 .516 .595 .475 .297 .205 .209 .147 .143 .300 .626 .826 .653 .371 .227 .220 .079 .086 .257 .672 1.000 .853 .486 .268 .231 .059 .070 .220 .611 .988 .931 .573 .307 .239 .053 .064 .179 .462 .765 .780 .528 .299 .234 .060 .065 .145 .314 .483 .501 .365 .237 .217 .094 .084 .130 .214 .277 .266 .197 .150 .180 1146 7.656 3446 .281 5.72903 .040395 .085907 -.027627 Correlation Surface at 1346 3446 .073 .071 .000 .125 .189 .195 .228 .025 .014 .056 .033 .015 .224 .292 .257 .410 .107 .004 .059 .027 .016 .271 .362 .292 .402 .110 .009 .066 .022 .017 .330 .635 .421 .214 .015 .042 .034 .019 .009 .331 1.000 .675 .133 .004 .046 .002 .012 .000 .277 .995 .665 .106 .002 .007 .000 .005 .000 .225 .750 .396 .055 .000 .001 .009 .013 .000 .183 .599 .303 .024 .009 .006 .025 .024 .006 .207 .476 .268 .013 .047 .061 r_peak,r_snr = .1760384 13.7248 Correlation Surface of oversamples image at 1346 3446 .008 .123 .402 .608 .542 .345 .222 .208 .220 .008 .096 .358 .640 .673 .483 .294 .200 .142 .010 .082 .325 .670 .814 .652 .396 .217 .101 .012 .077 .310 .698 .930 .797 .490 .240 .083 .012 .076 .309 .722 1.000 .878 .535 .248 .076 .009 .074 .310 .720 .998 .870 .514 .225 .066 .007 .069 .298 .669 .899 .768 .436 .176 .047 .004 .061 .273 .587 .756 .628 .347 .130 .029 .001 .051 .246 .511 .630 .518 .290 .109 .021 1346 .094 3446 -.250 13.72481 .012114 .077971 -.008910 Correlation Surface at 1446 3446 .025 .000 .002 .027 .170 .120 .011 .003 .049 .009 .002 .011 .092 .223 .070 .000 .004 .032 .003 .000 .019 .228 .447 .119 .000 .016 .021 .009 .021 .000 .323 .933 .296 .003 .036 .082 .024 .043 .014 .203 1.000 .460 .035 .038 .221 .026 .024 .032 .077 .653 .340 .034 .015 .199 .008 .004 .003 .093 .594 .282 .014 .000 .071 .001 .001 .034 .363 .920 .342 .006 .002 .055 .004 .015 .028 .472 .924 .248 .003 .034 .084 r_peak,r_snr = .1759946 16.40169 Correlation Surface of oversamples image at 1446 3446 .009 .002 .106 .415 .698 .675 .395 .142 .032 .000 .015 .139 .444 .704 .662 .380 .124 .021 .021 .072 .244 .571 .804 .702 .377 .109 .012 .069 .173 .403 .747 .929 .733 .348 .080 .003 .097 .254 .531 .875 1.000 .723 .298 .050 .000 1446 -.125 3446 3.750 16.40170 .006995 .067112 -.007661 Correlation Surface at 1546 3446 .297 .014 .218 .237 .234 .019 .100 .162 .004 .143 .000 .102 .485 .671 .067 .088 .342 .005 .106 .052 .002 .351 1.000 .143 .021 .188 .031 .187 .118 .016 .086 .509 .153 .010 .201 .000 .312 .066 .004 .040 .083 .074 .013 .075 .007 .166 .055 .067 .144 .162 .186 .076 .019 .022 .001 .006 .107 .337 .319 .247 .175 .070 .127 r_peak,r_snr = 8.22634E-02 8.17474 Correlation Surface of oversamples image at 1546 3446 .188 .209 .239 .251 .194 .103 .041 .037 .087 .148 .256 .408 .480 .352 .154 .046 .032 .083 .052 .189 .486 .732 .604 .269 .065 .021 .044 .003 .088 .421 .866 .880 .471 .128 .024 .018 .004 .026 .274 .780 1.000 .678 .250 .055 .020 .014 .004 .133 .519 .840 .722 .371 .127 .053 .015 .000 .048 .251 .509 .551 .376 .186 .104 .006 .000 .018 .099 .240 .318 .272 .171 .112 .001 .007 .017 .053 .124 .180 .173 .118 .072 1546 -.094 3446 -13.094 8.17474 .022197 .088304 -.015723 Correlation Surface at 1646 3446 .021 .011 .002 .143 .339 .073 .071 .041 .141 .000 .009 .038 .093 .523 .007 .034 .003 .103 .006 .025 .170 .001 .418 .012 .002 .006 .009 .000 .007 .086 .000 .456 .090 .014 .022 .024 .111 .015 .001 .113 1.000 .263 .026 .033 .056 .259 .067 .003 .150 .961 .276 .063 .182 .114 .346 .237 .028 .085 .397 .046 .014 .161 .148 .358 .412 .049 .005 .163 .001 .012 .004 .006 .217 .135 .000 .046 .065 .009 .040 .183 .065 r_peak,r_snr = 8.79180E-02 11.31829 Correlation Surface of oversamples image at 1646 3446 .000 .001 .063 .396 .784 .579 .125 .000 .008 .013 .003 .051 .463 1.000 .823 .241 .006 .006 .049 .039 .007 .338 .949 .913 .347 .033 .000 .104 .157 .033 .100 .604 .753 .364 .068 .007 .147 .317 .196 .000 .262 .518 .332 .101 .031 .124 .348 .306 .031 .110 .384 .316 .131 .059 1646 -.281 3446 -2.094 11.31829 .014564 .126891 .005923 Correlation Surface at 1846 3446 .000 .103 .187 .221 .331 .008 .169 .210 .114 .411 .003 .206 .289 .059 .349 .001 .115 .161 .080 .490 .002 .132 .192 .268 1.000 .004 .144 .255 .309 .914 .009 .061 .222 .184 .436 .072 .147 .386 .125 .111 .210 .343 .428 .114 .015 r_peak,r_snr = 7.81627E-02 8.60679 Correlation Surface of oversamples image at 1846 3446 .065 .041 .150 .447 .667 .487 .138 .003 .023 .034 .037 .163 .460 .658 .478 .132 .000 .051 .029 .057 .236 .586 .785 .552 .151 .000 .084 .047 .103 .331 .722 .946 .659 .178 .000 .123 .090 .163 .393 .757 1.000 .749 .224 .000 .146 .138 .200 .363 .631 .880 .773 .300 .003 .125 .156 .177 .247 .414 .689 .775 .415 .033 .067 .162 .127 .126 .233 .562 .861 .619 .128 .013 .185 .089 .046 .106 .456 .957 .854 .273 .000 1846 14.500 3446 4.406 8.60679 .041522 .160934 -.005411 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .079 .301 .295 .185 .154 .195 .182 .134 .075 .038 .173 .241 .202 .225 .268 .168 .080 .051 .024 .078 .276 .391 .435 .467 .257 .098 .025 .046 .070 .343 .737 .818 .709 .373 .176 .032 .093 .124 .294 .702 1.000 .810 .397 .169 .041 .076 .097 .134 .410 .832 .731 .367 .119 .015 .058 .077 .108 .295 .752 .735 .342 .093 .004 .156 .189 .200 .324 .737 .764 .305 .075 .011 .187 .247 .256 .337 .661 .643 .238 .086 .026 r_peak,r_snr = .1718049 7.44256 Correlation Surface of oversamples image at 146 3846 .471 .683 .876 .957 .907 .797 .671 .546 .434 .324 .536 .765 .895 .870 .762 .638 .510 .383 .196 .414 .698 .889 .879 .771 .647 .511 .352 .123 .339 .667 .918 .942 .829 .691 .540 .351 .092 .288 .624 .924 1.000 .888 .714 .531 .327 .078 .231 .535 .859 .990 .889 .680 .466 .268 .078 .180 .427 .753 .938 .856 .624 .396 .215 .109 .183 .391 .717 .942 .862 .594 .354 .194 146 .375 3846 -6.125 7.44256 .061985 .115806 -.039445 Correlation Surface at 246 3846 .012 .021 .159 .170 .309 .163 .052 .169 .138 .006 .040 .330 .266 .362 .301 .143 .299 .169 .003 .038 .399 .420 .500 .434 .115 .117 .086 .000 .019 .220 .537 .787 .655 .203 .066 .063 .007 .075 .254 .687 1.000 .675 .442 .186 .138 .001 .206 .650 .746 .845 .699 .556 .321 .265 r_peak,r_snr = .1342298 9.81443 Correlation Surface of oversamples image at 246 3846 .000 .005 .030 .113 .267 .533 .858 .972 .737 .000 .019 .093 .246 .433 .655 .877 .916 .657 .000 .041 .204 .477 .700 .816 .849 .775 .548 .000 .057 .313 .712 .945 .928 .773 .612 .448 .000 .056 .341 .789 1.000 .884 .638 .455 .359 .001 .041 .281 .673 .850 .718 .485 .337 .291 .003 .018 .170 .450 .589 .505 .342 .251 .238 .004 .007 .094 .283 .393 .357 .256 .204 .210 246 -.906 3846 14.813 9.81443 .052338 .154955 .017170 Correlation Surface at 346 3846 .451 .376 .391 .566 .622 .434 .273 .269 .247 .299 .253 .353 .557 .596 .425 .314 .275 .212 .166 .125 .287 .624 .695 .418 .336 .337 .199 .140 .095 .296 .778 .943 .489 .266 .300 .197 .136 .102 .341 .801 1.000 .646 .323 .246 .196 .191 .152 .332 .601 .716 .628 .464 .307 .254 .305 .284 .395 .530 .597 .577 .530 .417 .329 .307 .315 .377 .500 .613 .623 .664 .499 .364 .244 .230 .268 .333 .494 .549 .687 .482 .371 r_peak,r_snr = .2404315 3.92465 Correlation Surface of oversamples image at 346 3846 .290 .443 .608 .724 .755 .697 .593 .506 .463 .225 .380 .579 .747 .807 .738 .600 .490 .442 .191 .344 .565 .784 .892 .822 .646 .493 .418 .190 .347 .581 .831 .973 .917 .719 .530 .419 .217 .376 .613 .859 1.000 .959 .779 .589 .456 .252 .404 .621 .833 .937 .899 .765 .620 .506 .284 .417 .599 .758 .816 .771 .680 .593 .530 .310 .420 .566 .680 .704 .656 .586 .535 .513 .331 .426 .545 .632 .649 .610 .550 .502 .485 346 -.344 3846 .344 3.92465 .021215 .050051 -.012151 Correlation Surface at 446 3846 .043 .105 .159 .006 .022 .007 .206 .028 .007 .006 .012 .002 .035 .040 .023 .318 .119 .000 .090 .020 .140 .114 .439 .014 .184 .097 .058 .000 .021 .025 .160 1.000 .411 .006 .109 .003 .039 .131 .073 .103 .817 .474 .020 .053 .035 .011 .180 .566 .014 .318 .137 .006 .086 .044 .009 .000 .359 .189 .042 .025 .279 .485 .102 .006 .031 .004 .019 .122 .018 .272 .650 .289 r_peak,r_snr = 7.73264E-02 9.26288 Correlation Surface of oversamples image at 446 3846 .137 .165 .129 .101 .122 .083 .000 .155 .362 .012 .120 .231 .252 .262 .174 .007 .127 .407 .024 .046 .293 .469 .500 .333 .045 .072 .368 .090 .008 .279 .655 .805 .593 .157 .010 .243 .086 .000 .202 .663 1.000 .878 .374 .020 .082 .043 .000 .129 .516 .932 .987 .601 .155 .000 .022 .001 .091 .359 .695 .831 .645 .310 .055 .049 .000 .063 .255 .467 .546 .468 .308 .120 .185 .040 .017 .167 .306 .307 .233 .156 .065 446 -7.781 3846 -12.250 9.26288 .029858 .119465 -.025053 Correlation Surface at 546 3846 .020 .050 .112 .386 .691 .569 .419 .176 .066 .003 .039 .200 .534 .772 .644 .594 .191 .056 .037 .000 .079 .211 .523 .507 .421 .113 .000 .178 .045 .013 .233 .542 .421 .242 .003 .110 .177 .100 .000 .476 1.000 .534 .373 .006 .145 .000 .038 .012 .220 .851 .380 .305 .034 .024 .157 .027 .001 .095 .483 .074 .008 .005 .032 .290 .222 .083 .156 .322 .013 .016 .052 .200 .159 .112 .004 .065 .126 .015 .010 .001 .168 r_peak,r_snr = 9.28146E-02 9.7418 Correlation Surface of oversamples image at 546 3846 .076 .112 .149 .190 .244 .286 .299 .323 .339 .068 .170 .262 .295 .306 .301 .284 .301 .322 .048 .225 .458 .549 .506 .406 .326 .329 .351 .020 .214 .596 .844 .800 .589 .412 .381 .393 .002 .142 .552 .952 1.000 .739 .480 .409 .399 .001 .071 .397 .821 .960 .726 .444 .345 .317 .000 .047 .284 .629 .773 .586 .332 .226 .188 .007 .068 .262 .505 .583 .416 .209 .119 .083 .038 .117 .292 .444 .428 .258 .106 .052 .030 546 -.156 3846 6.594 9.74180 .043012 .113953 .001439 Correlation Surface at 646 3846 .030 .002 .212 .624 .420 .325 .274 .012 .062 .206 .568 .498 .316 .204 .200 .378 .366 .437 .506 .296 .281 .312 .721 .780 .394 .397 .199 .249 .117 .563 1.000 .541 .353 .259 .281 .011 .188 .552 .588 .437 .499 .535 .006 .092 .108 .327 .441 .505 .860 .000 .058 .009 .057 .190 .262 .512 .008 .010 .004 .007 .061 .147 .226 r_peak,r_snr = .1049603 4.66543 Correlation Surface of oversamples image at 646 3846 .194 .234 .260 .260 .259 .274 .280 .213 .077 .301 .395 .481 .513 .461 .367 .285 .201 .080 .300 .465 .657 .782 .720 .496 .286 .165 .079 .187 .375 .671 .933 .946 .649 .319 .152 .090 .067 .197 .491 .849 1.000 .758 .387 .182 .133 .010 .063 .246 .566 .817 .735 .443 .248 .206 .000 .013 .089 .272 .498 .562 .433 .312 .283 .004 .005 .035 .105 .226 .326 .334 .318 .315 .009 .007 .027 .045 .086 .143 .189 .235 .261 646 -13.125 3846 -1.188 4.66543 .056223 .096557 -.039945 Correlation Surface at 746 3846 .006 .051 .191 .037 .017 .002 .061 .286 .294 .019 .011 .093 .189 .562 .317 .039 .255 .328 .646 .791 .026 .367 .755 .840 1.000 .025 .133 .587 .588 .497 .053 .019 .079 .215 .091 .077 .124 .011 .042 .036 .086 .086 .026 .000 .011 r_peak,r_snr = 7.99539E-02 8.66296 Correlation Surface of oversamples image at 746 3846 .144 .145 .209 .248 .145 .022 .000 .001 .000 .179 .201 .321 .455 .390 .167 .036 .006 .001 .201 .215 .369 .623 .687 .446 .175 .040 .002 .218 .209 .358 .696 .915 .737 .389 .129 .014 .222 .198 .319 .671 1.000 .926 .603 .294 .079 .234 .214 .298 .609 .965 .971 .734 .471 .224 .297 .287 .328 .568 .879 .911 .740 .541 .338 .406 .407 .385 .517 .740 .773 .630 .451 .292 .441 .474 .400 .414 .536 .571 .460 .286 .147 746 13.719 3846 4.719 8.66296 .094476 .112648 .009107 Correlation Surface at 846 3846 .120 .002 .032 .010 .009 .007 .007 .018 .008 .054 .001 .033 .015 .015 .119 .045 .000 .003 .039 .035 .129 .003 .051 .124 .043 .003 .021 .000 .049 .185 .006 .446 .185 .003 .004 .035 .005 .026 .068 .044 1.000 .510 .015 .000 .018 .001 .001 .004 .075 .906 .667 .127 .009 .001 .002 .001 .009 .137 .576 .267 .098 .009 .000 .011 .011 .007 .164 .451 .091 .001 .001 .000 .063 .058 .019 .023 .275 .118 .001 .002 .014 r_peak,r_snr = .1322282 19.96758 Correlation Surface of oversamples image at 846 3846 .064 .001 .065 .137 .164 .144 .091 .029 .001 .047 .011 .179 .343 .321 .183 .067 .011 .000 .029 .024 .298 .603 .559 .283 .079 .009 .000 .009 .041 .389 .830 .822 .450 .146 .028 .003 .000 .073 .453 .951 1.000 .621 .263 .085 .023 .017 .123 .493 .933 .979 .666 .347 .155 .057 .048 .180 .506 .809 .782 .533 .309 .161 .066 .072 .215 .478 .652 .553 .338 .187 .097 .039 .069 .207 .417 .514 .389 .195 .081 .031 .009 846 .313 3846 .688 19.96758 .007655 .045250 -.002572 Correlation Surface at 946 3846 .027 .135 .114 .031 .359 .143 .002 .004 .024 .053 .161 .250 .001 .388 .289 .029 .033 .047 .026 .134 .266 .017 .169 .141 .025 .070 .050 .020 .102 .168 .018 .418 .064 .006 .023 .053 .017 .048 .034 .160 1.000 .132 .022 .000 .043 .028 .002 .002 .201 .814 .068 .046 .016 .000 .106 .082 .018 .091 .417 .014 .109 .042 .019 .006 .024 .005 .019 .246 .023 .063 .022 .000 .009 .001 .001 .006 .150 .015 .041 .011 .022 r_peak,r_snr = .1426054 19.81328 Correlation Surface of oversamples image at 946 3846 .172 .060 .003 .141 .297 .246 .093 .014 .001 .182 .042 .030 .307 .509 .342 .094 .004 .003 .144 .017 .084 .520 .793 .504 .126 .003 .011 .062 .000 .161 .684 .993 .632 .156 .004 .013 .005 .018 .236 .733 1.000 .630 .149 .002 .015 .008 .062 .279 .681 .863 .522 .106 .000 .028 .032 .080 .257 .568 .691 .400 .065 .006 .052 .038 .060 .178 .420 .533 .307 .042 .013 .072 .028 .028 .088 .262 .376 .222 .025 .020 .078 946 -.031 3846 .281 19.81329 .005421 .028814 .002264 Correlation Surface at 1046 3846 .000 .001 .034 .000 .038 .040 .007 .011 .007 .002 .009 .002 .091 .161 .023 .006 .049 .014 .011 .032 .055 .266 .413 .054 .022 .098 .024 .008 .004 .017 .249 .742 .202 .019 .142 .047 .001 .012 .009 .110 1.000 .561 .000 .122 .104 .031 .074 .079 .003 .537 .615 .025 .054 .155 .173 .156 .124 .025 .090 .185 .020 .009 .084 .102 .068 .051 .025 .010 .027 .010 .000 .008 .035 .005 .000 .005 .011 .002 .021 .024 .004 r_peak,r_snr = .1486016 26.58246 Correlation Surface of oversamples image at 1046 3846 .106 .182 .292 .302 .169 .035 .000 .030 .094 .052 .154 .364 .486 .344 .108 .003 .024 .105 .011 .105 .408 .711 .618 .259 .028 .015 .115 .001 .051 .369 .837 .892 .481 .098 .002 .106 .020 .012 .256 .762 1.000 .672 .201 .003 .072 .058 .000 .126 .530 .854 .696 .266 .017 .036 .103 .017 .037 .280 .550 .528 .243 .028 .013 .129 .042 .004 .118 .279 .311 .173 .029 .003 .117 .054 .000 .039 .115 .150 .108 .029 .000 1046 .406 3846 1.406 26.58246 .010625 .039107 -.010822 Correlation Surface at 1146 3846 .018 .003 .003 .001 .030 .136 .182 .142 .066 .037 .009 .018 .005 .114 .210 .112 .096 .100 .036 .000 .000 .122 .348 .199 .121 .126 .096 .001 .005 .020 .301 .807 .307 .188 .143 .042 .031 .034 .047 .294 1.000 .406 .141 .103 .052 .188 .083 .033 .091 .456 .179 .026 .026 .069 .047 .037 .010 .008 .139 .089 .001 .003 .038 .001 .028 .012 .007 .106 .134 .008 .004 .055 .017 .076 .033 .016 .102 .094 .017 .001 .116 r_peak,r_snr = .1246114 12.87439 Correlation Surface of oversamples image at 1146 3846 .011 .001 .051 .185 .355 .458 .439 .320 .182 .003 .043 .166 .368 .524 .521 .411 .289 .180 .029 .109 .298 .574 .723 .605 .397 .280 .213 .050 .148 .380 .733 .907 .696 .397 .274 .242 .057 .148 .390 .793 1.000 .736 .373 .232 .214 .057 .119 .324 .714 .937 .665 .284 .136 .118 .051 .073 .198 .498 .712 .488 .158 .038 .023 .035 .029 .080 .261 .448 .317 .072 .001 .001 .021 .007 .019 .107 .257 .217 .046 .001 .020 1146 -.031 3846 -.406 12.87440 .013214 .041464 -.002063 Correlation Surface at 1246 3846 .058 .302 .000 .241 .272 .202 .081 .002 .002 .080 .424 .040 .158 .570 .583 .386 .010 .000 .017 .554 .402 .011 .408 .526 .486 .093 .001 .000 .562 .644 .021 .469 .644 .456 .089 .017 .000 .168 .099 .133 1.000 .875 .444 .137 .015 .000 .026 .000 .312 .886 .776 .318 .083 .166 .003 .042 .052 .084 .411 .482 .275 .035 .133 .037 .084 .152 .043 .483 .236 .182 .170 .201 .090 .153 .281 .026 .758 .389 .039 .147 .188 r_peak,r_snr = 8.08896E-02 8.15861 Correlation Surface of oversamples image at 1246 3846 .012 .045 .343 .701 .736 .526 .398 .387 .318 .063 .006 .222 .583 .665 .462 .313 .310 .297 .064 .008 .233 .614 .720 .508 .319 .278 .267 .013 .051 .355 .766 .873 .636 .398 .295 .253 .009 .160 .520 .915 1.000 .754 .488 .325 .239 .069 .245 .561 .896 .981 .774 .519 .320 .201 .094 .212 .422 .671 .782 .666 .465 .270 .142 .052 .122 .252 .421 .529 .493 .365 .210 .101 .010 .061 .175 .308 .374 .341 .254 .157 .093 1246 .344 3846 -.781 8.15861 .054691 .160171 .050625 Correlation Surface at 1346 3846 .002 .001 .004 .185 .596 .537 .115 .008 .001 .001 .001 .001 .171 .581 .415 .101 .014 .003 .018 .001 .012 .240 .718 .426 .096 .035 .042 .033 .016 .010 .318 .901 .491 .086 .070 .068 .007 .015 .002 .323 1.000 .465 .050 .057 .056 .003 .001 .001 .285 .991 .473 .039 .018 .032 .001 .009 .003 .252 .784 .457 .086 .019 .011 .032 .016 .011 .251 .567 .307 .114 .046 .007 .038 .005 .059 .290 .483 .211 .091 .063 .025 r_peak,r_snr = .1863155 11.65315 Correlation Surface of oversamples image at 1346 3846 .020 .109 .311 .601 .834 .795 .490 .199 .075 .010 .093 .319 .654 .904 .847 .508 .193 .064 .007 .079 .317 .695 .961 .880 .515 .185 .051 .010 .076 .312 .719 .999 .899 .523 .187 .047 .018 .082 .306 .711 1.000 .900 .538 .210 .058 .025 .092 .296 .664 .937 .859 .544 .246 .088 .026 .101 .287 .596 .826 .770 .516 .269 .123 .024 .104 .277 .527 .701 .652 .451 .257 .140 .024 .104 .260 .460 .579 .523 .361 .213 .126 1346 .125 3846 -.219 11.65315 .007010 .805060 -.004643 Correlation Surface at 1446 3846 .193 .210 .053 .162 .455 .210 .181 .512 .468 .018 .002 .033 .079 .628 .404 .109 .186 .197 .106 .181 .013 .051 .639 .336 .000 .014 .002 .067 .253 .000 .048 .865 .339 .025 .111 .060 .112 .047 .048 .038 1.000 .160 .038 .040 .018 .190 .001 .314 .000 .912 .042 .056 .002 .025 .086 .006 .208 .002 .738 .085 .100 .018 .076 .025 .001 .048 .001 .382 .046 .159 .056 .021 .016 .005 .015 .009 .074 .023 .186 .013 .008 r_peak,r_snr = 8.44031E-02 8.87282 Correlation Surface of oversamples image at 1446 3846 .003 .005 .093 .342 .535 .444 .181 .019 .009 .040 .044 .198 .506 .661 .483 .175 .012 .019 .047 .074 .292 .676 .792 .497 .142 .002 .036 .005 .043 .314 .808 .921 .495 .098 .001 .056 .021 .003 .249 .836 1.000 .492 .066 .008 .066 .092 .010 .149 .744 .991 .499 .060 .010 .060 .111 .036 .072 .574 .892 .514 .080 .004 .045 .075 .045 .023 .365 .691 .485 .113 .000 .027 .043 .044 .002 .169 .415 .357 .110 .003 .017 1446 -.156 3846 -1.406 8.87282 .012279 1.157296 .037810 Correlation Surface at 1546 3846 .017 .204 .249 .040 .383 .505 .147 .033 .003 .001 .136 .314 .021 .002 .053 .012 .020 .217 .001 .086 .207 .110 .157 .011 .001 .002 .211 .002 .122 .222 .294 .581 .132 .006 .025 .023 .013 .149 .266 .456 1.000 .518 .042 .102 .000 .029 .076 .201 .355 .771 .819 .206 .001 .034 .012 .028 .074 .207 .180 .218 .195 .082 .176 .018 .067 .057 .036 .006 .001 .027 .118 .272 .002 .115 .161 .000 .032 .022 .017 .000 .141 r_peak,r_snr = 8.03538E-02 6.8323 Correlation Surface of oversamples image at 1546 3846 .090 .181 .263 .227 .091 .014 .003 .013 .039 .102 .258 .438 .464 .256 .061 .009 .013 .044 .125 .311 .572 .716 .515 .178 .033 .016 .036 .165 .337 .632 .901 .811 .395 .110 .028 .020 .209 .336 .601 .930 1.000 .659 .270 .064 .007 .221 .301 .479 .746 .904 .768 .435 .120 .001 .188 .258 .340 .459 .565 .589 .447 .155 .000 .143 .231 .254 .238 .237 .275 .283 .129 .000 .095 .191 .190 .108 .054 .053 .084 .054 .002 1546 .344 3846 .500 6.83230 .065954 .164616 -.049100 Correlation Surface at 1646 3846 .001 .016 .288 .558 .393 .096 .001 .002 .000 .009 .171 .459 .502 .106 .012 .019 .063 .000 .048 .207 .305 .039 .006 .000 .109 .014 .033 .337 .377 .050 .001 .001 .019 .000 .104 .907 1.000 .158 .111 .055 .001 .001 .154 .839 .903 .145 .160 .338 .005 .000 .112 .269 .260 .138 .113 .398 .029 .202 .351 .157 .073 .297 .328 .173 .192 .744 .791 .312 .031 .200 .601 .154 r_peak,r_snr = 8.20237E-02 6.66574 Correlation Surface of oversamples image at 1646 3846 .049 .107 .176 .256 .247 .125 .018 .001 .006 .049 .155 .275 .380 .353 .176 .026 .000 .001 .060 .234 .452 .632 .608 .327 .062 .001 .001 .077 .298 .603 .878 .897 .530 .121 .007 .006 .088 .296 .602 .917 1.000 .654 .179 .015 .009 .083 .218 .417 .654 .780 .584 .193 .020 .008 .069 .120 .185 .288 .395 .375 .164 .023 .005 .066 .062 .050 .063 .118 .185 .137 .037 .006 .101 .053 .011 .002 .013 .075 .126 .077 .021 1646 10.844 3846 -10.625 6.66574 .045489 .094673 .010191 Correlation Surface at 1746 3846 .030 .092 .302 .006 .226 .111 .000 .002 .001 .090 .037 .223 .053 .212 .163 .034 .009 .000 .098 .044 .120 .000 .478 .245 .054 .013 .000 .086 .062 .041 .089 .976 .371 .039 .000 .010 .143 .055 .000 .233 1.000 .463 .047 .003 .023 .253 .078 .002 .227 .811 .492 .050 .000 .001 .387 .130 .000 .098 .482 .448 .042 .000 .035 .455 .155 .006 .103 .239 .232 .020 .002 .057 .466 .217 .017 .234 .362 .172 .029 .033 .119 r_peak,r_snr = .1457552 14.30746 Correlation Surface of oversamples image at 1746 3846 .241 .267 .070 .021 .212 .304 .244 .164 .106 .160 .180 .025 .074 .344 .422 .309 .203 .136 .105 .094 .000 .229 .605 .607 .374 .213 .129 .069 .038 .027 .432 .895 .795 .427 .202 .099 .039 .010 .065 .528 1.000 .862 .447 .188 .073 .016 .000 .094 .494 .886 .781 .427 .182 .061 .006 .008 .124 .438 .728 .670 .404 .190 .063 .006 .018 .152 .413 .644 .624 .417 .219 .081 .016 .016 .157 .401 .622 .641 .465 .263 .112 1746 .125 3846 -.031 14.30747 .009713 .367908 .010689 Correlation Surface at 1846 3846 .009 .017 .118 .401 .729 .686 .163 .012 .007 .000 .037 .176 .434 .544 .583 .251 .021 .010 .001 .069 .191 .486 .525 .395 .241 .026 .032 .000 .111 .257 .502 .793 .562 .245 .025 .042 .042 .076 .309 .532 1.000 .944 .444 .065 .012 .149 .011 .288 .590 .849 .866 .548 .123 .004 .118 .003 .162 .515 .657 .518 .322 .075 .013 .015 .000 .118 .468 .624 .393 .218 .025 .004 .001 .022 .200 .667 .754 .380 .258 .049 .005 r_peak,r_snr = .1652984 6.66233 Correlation Surface of oversamples image at 1846 3846 .717 1.343 2.366 3.537 4.000 3.350 2.129 .995 .333 .860 1.351 2.077 2.932 3.451 3.261 2.432 1.331 .512 .935 1.395 1.887 2.345 2.658 2.743 2.453 1.665 .798 .917 1.478 1.918 2.066 2.050 2.107 2.152 1.786 1.053 .890 1.573 2.147 2.184 1.863 1.699 1.768 1.670 1.148 1846 .469 3846 4.156 6.66233 .045236 .105408 -.016429 Correlation Surface at 1946 3846 .053 .058 .027 .017 .118 .087 .004 .006 .159 .047 .041 .010 .079 .335 .122 .003 .032 .150 .000 .000 .000 .128 .514 .163 .029 .060 .106 .012 .115 .020 .230 .962 .293 .040 .048 .055 .004 .201 .124 .163 1.000 .269 .057 .038 .033 .004 .096 .126 .062 .485 .125 .052 .025 .004 .002 .014 .030 .054 .292 .076 .005 .000 .001 .013 .004 .002 .082 .419 .132 .011 .026 .000 .040 .017 .002 .117 .449 .160 .032 .059 .002 r_peak,r_snr = .1377244 16.02742 Correlation Surface of oversamples image at 1946 3846 .000 .000 .017 .114 .265 .298 .152 .019 .003 .001 .001 .038 .175 .367 .403 .206 .024 .007 .004 .009 .097 .312 .551 .552 .276 .035 .007 .013 .021 .194 .525 .805 .721 .337 .046 .005 .031 .022 .266 .702 1.000 .819 .346 .040 .006 .058 .009 .246 .707 .996 .779 .297 .023 .012 .084 .000 .169 .567 .816 .635 .229 .011 .021 .101 .004 .096 .392 .578 .448 .162 .006 .023 .099 .011 .053 .265 .389 .291 .108 .006 .012 1946 .063 3846 -.281 16.02743 .006963 .055420 -.000690 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .053 .132 .334 .748 .877 .635 .453 .231 .146 .042 .112 .285 .643 .797 .620 .520 .309 .144 .064 .127 .252 .581 .707 .499 .432 .295 .153 .072 .134 .245 .667 .856 .500 .307 .259 .159 .049 .090 .159 .578 1.000 .630 .235 .187 .129 .030 .053 .121 .461 .943 .679 .232 .137 .099 .022 .049 .199 .542 .876 .597 .220 .128 .109 .021 .062 .295 .682 .924 .653 .262 .127 .095 .026 .074 .267 .602 .841 .703 .408 .213 .121 r_peak,r_snr = .2385157 5.98335 Correlation Surface of oversamples image at 146 4246 .283 .405 .570 .695 .707 .605 .478 .416 .399 .268 .406 .608 .767 .788 .667 .497 .384 .337 .219 .358 .596 .817 .880 .762 .556 .383 .286 .153 .280 .535 .823 .958 .870 .646 .418 .264 .100 .208 .460 .792 1.000 .961 .734 .463 .259 .076 .170 .402 .735 .981 .984 .771 .483 .253 .085 .174 .378 .674 .907 .934 .747 .469 .239 .130 .227 .405 .650 .847 .878 .707 .442 .223 .203 .322 .487 .689 .844 .861 .699 .442 .226 146 .219 4246 -2.219 5.98335 .014174 .157933 -.026775 Correlation Surface at 246 4246 .239 .144 .136 .030 .008 .005 .080 .473 .665 .229 .140 .162 .050 .025 .004 .001 .158 .680 .415 .236 .212 .338 .266 .024 .000 .035 .323 .142 .129 .144 .507 .810 .159 .036 .022 .010 .000 .002 .009 .435 1.000 .463 .236 .025 .051 .040 .006 .027 .285 .823 .482 .428 .066 .022 .382 .082 .016 .100 .536 .338 .361 .298 .072 .337 .300 .008 .021 .230 .240 .132 .291 .225 .015 .214 .058 .009 .106 .163 .034 .079 .078 r_peak,r_snr = 8.66603E-02 6.43069 Correlation Surface of oversamples image at 246 4246 .281 .382 .429 .374 .245 .112 .036 .010 .002 .320 .416 .520 .561 .465 .256 .089 .021 .003 .325 .395 .546 .722 .752 .511 .212 .056 .010 .276 .330 .499 .780 .970 .795 .418 .151 .045 .173 .223 .403 .729 1.000 .918 .588 .291 .128 .073 .114 .297 .640 .904 .845 .601 .389 .245 .023 .045 .209 .568 .814 .718 .510 .403 .349 .011 .014 .135 .488 .748 .641 .436 .373 .400 .015 .004 .075 .373 .669 .625 .430 .348 .380 246 -2.375 4246 -9.656 6.43069 .063020 .506332 -.112499 Correlation Surface at 346 4246 .006 .000 .004 .003 .018 .031 .282 .613 .851 .215 .004 .132 .019 .098 .079 .004 .196 .273 .129 .002 .293 .075 .083 .096 .057 .081 .076 .000 .014 .135 .000 .412 .159 .011 .311 .276 .086 .003 .006 .138 1.000 .614 .003 .441 .470 .300 .010 .001 .109 .592 .514 .083 .027 .104 .128 .007 .001 .044 .222 .335 .258 .236 .064 .072 .083 .018 .116 .122 .366 .460 .567 .218 .181 .403 .176 .143 .016 .196 .724 .742 .142 r_peak,r_snr = 7.54253E-02 6.60534 Correlation Surface of oversamples image at 346 4246 1.407 .861 .821 .858 .758 .600 .652 1.206 .740 .782 1.124 1.543 1.709 1.939 .973 .768 .902 1.352 2.044 2.364 2.487 .775 .991 1.421 2.055 2.838 3.003 2.726 346 11.719 4246 15.875 6.60534 .032774 .063197 -.000223 Correlation Surface at 446 4246 .178 .201 .268 .342 .395 .349 .337 .271 .228 .120 .132 .237 .370 .420 .305 .293 .267 .241 .115 .124 .230 .446 .541 .339 .255 .222 .183 .145 .164 .247 .578 .783 .478 .239 .166 .123 .139 .164 .293 .703 1.000 .574 .245 .158 .123 .116 .124 .287 .653 .812 .428 .204 .159 .156 .087 .098 .228 .523 .590 .282 .120 .098 .136 .076 .113 .232 .488 .612 .335 .095 .061 .122 .099 .155 .283 .565 .752 .483 .145 .102 .198 r_peak,r_snr = .2889465 4.56918 Correlation Surface of oversamples image at 446 4246 .190 .297 .445 .576 .620 .551 .423 .313 .233 .210 .320 .491 .663 .742 .676 .520 .372 .268 .239 .362 .561 .780 .891 .815 .615 .420 .288 .261 .406 .628 .872 .999 .903 .663 .439 .294 .267 .432 .659 .892 1.000 .881 .629 .414 .284 .258 .433 .653 .849 .911 .768 .528 .347 .249 .244 .416 .625 .787 .806 .647 .425 .271 .195 .237 .392 .587 .734 .735 .574 .363 .214 .139 .245 .372 .543 .685 .696 .550 .345 .183 .096 446 .031 4246 -1.750 4.56918 .007623 .021977 .001607 Correlation Surface at 546 4246 .090 .229 .229 .411 .837 .458 .194 .120 .130 .072 .190 .265 .475 .825 .553 .218 .077 .131 .023 .088 .197 .493 .757 .646 .468 .183 .142 .011 .052 .140 .504 .874 .663 .550 .351 .233 .002 .071 .182 .535 1.000 .724 .450 .315 .238 .001 .015 .151 .479 .902 .800 .399 .212 .135 .001 .001 .046 .404 .773 .735 .300 .111 .098 .025 .022 .037 .287 .639 .666 .282 .075 .093 .032 .150 .154 .240 .573 .748 .429 .144 .092 r_peak,r_snr = .1928433 4.77274 Correlation Surface of oversamples image at 546 4246 .214 .276 .448 .743 .939 .778 .465 .282 .224 .250 .342 .524 .806 1.000 .860 .534 .304 .200 .306 .444 .629 .847 .975 .855 .590 .374 .245 .323 .518 .718 .871 .914 .800 .618 .473 .362 .267 .497 .734 .871 .863 .740 .614 .551 .505 .180 .397 .669 .851 .851 .716 .594 .570 .587 546 .031 4246 .250 4.77274 .018079 .182950 -.013353 Correlation Surface at 646 4246 .260 .300 .071 .019 .168 .368 .314 .292 .327 .311 .241 .159 .100 .139 .463 .402 .136 .082 .257 .269 .418 .461 .264 .412 .615 .263 .086 .098 .056 .227 .639 .655 .354 .406 .210 .085 .023 .006 .022 .452 1.000 .644 .254 .073 .038 .061 .001 .030 .370 .789 .886 .507 .126 .107 .124 .045 .079 .300 .505 .783 .842 .379 .285 .090 .045 .078 .247 .427 .646 .890 .646 .496 .133 .069 .064 .147 .276 .353 .517 .536 .438 r_peak,r_snr = .1242957 5.43384 Correlation Surface of oversamples image at 646 4246 .278 .244 .150 .068 .052 .114 .276 .449 .486 .420 .506 .454 .296 .189 .192 .298 .454 .542 .493 .719 .805 .669 .469 .353 .349 .438 .563 .362 .657 .911 .952 .804 .601 .455 .428 .519 .116 .352 .688 .944 1.000 .856 .619 .455 .445 .001 .096 .374 .721 .959 .979 .782 .536 .415 .029 .013 .193 .497 .759 .887 .824 .617 .436 .036 .005 .139 .358 .526 .629 .661 .581 .443 .006 .019 .140 .277 .338 .363 .402 .423 .389 646 -1.375 4246 6.250 5.43384 .040859 .102428 -.037211 Correlation Surface at 746 4246 .004 .024 .003 .206 .084 .000 .031 .141 .127 .018 .000 .005 .174 .117 .001 .034 .052 .023 .007 .000 .035 .305 .142 .005 .003 .031 .002 .008 .005 .044 .617 .446 .005 .008 .024 .029 .064 .001 .040 .653 1.000 .300 .007 .010 .135 .006 .001 .063 .409 .630 .374 .068 .008 .103 .002 .000 .183 .346 .188 .111 .164 .071 .027 .045 .117 .542 .424 .104 .035 .218 .187 .023 .134 .109 .510 .420 .058 .010 .053 .046 .042 r_peak,r_snr = .1081573 7.06269 Correlation Surface of oversamples image at 746 4246 .013 .204 .387 .239 .020 .043 .126 .055 .001 .014 .275 .547 .368 .061 .015 .098 .067 .001 .005 .277 .713 .657 .256 .027 .005 .018 .001 .000 .192 .718 .961 .673 .318 .109 .021 .003 .000 .102 .534 .977 1.000 .755 .470 .203 .043 .001 .059 .308 .674 .869 .835 .670 .390 .117 .016 .053 .153 .318 .447 .489 .481 .370 .165 .044 .060 .077 .103 .122 .133 .172 .210 .167 .092 .086 .056 .028 .012 .007 .024 .090 .165 746 7.719 4246 7.938 7.06269 .033286 .045008 -.019093 Correlation Surface at 846 4246 .001 .039 .228 .533 .555 .236 .053 .015 .000 .003 .045 .174 .452 .632 .367 .120 .029 .002 .009 .066 .151 .409 .711 .428 .106 .012 .004 .010 .061 .160 .504 .911 .470 .069 .000 .000 .007 .041 .176 .590 1.000 .519 .068 .000 .002 .003 .026 .195 .611 .972 .518 .071 .000 .000 .004 .016 .181 .550 .904 .515 .075 .000 .005 .009 .018 .160 .491 .822 .498 .080 .000 .000 .010 .021 .146 .468 .723 .436 .091 .001 .000 r_peak,r_snr = .2671391 8.88109 Correlation Surface of oversamples image at 846 4246 .163 .251 .396 .600 .729 .628 .357 .127 .020 .167 .296 .495 .731 .847 .694 .373 .120 .014 .158 .316 .559 .829 .945 .767 .411 .128 .012 .150 .320 .581 .870 .997 .825 .461 .149 .014 .149 .320 .574 .858 1.000 .857 .509 .178 .019 .146 .317 .553 .820 .974 .863 .540 .205 .026 .140 .312 .529 .776 .941 .857 .555 .224 .034 .131 .302 .507 .737 .906 .844 .559 .237 .042 .116 .281 .478 .696 .859 .810 .542 .236 .047 846 .000 4246 .813 8.88109 .006247 .279152 .005805 Correlation Surface at 946 4246 .117 .014 .057 .267 .200 .041 .000 .003 .001 .176 .047 .021 .181 .320 .148 .005 .000 .012 .117 .015 .019 .201 .480 .334 .045 .014 .000 .065 .000 .040 .429 .816 .377 .053 .006 .004 .002 .008 .033 .436 1.000 .355 .027 .002 .004 .022 .029 .041 .265 .657 .352 .049 .000 .008 .005 .018 .047 .199 .398 .231 .074 .005 .000 .006 .006 .050 .125 .329 .164 .046 .004 .000 .000 .011 .074 .111 .262 .212 .103 .022 .001 r_peak,r_snr = .1432545 14.56617 Correlation Surface of oversamples image at 946 4246 .000 .022 .118 .329 .511 .445 .194 .028 .000 .001 .016 .122 .369 .589 .543 .279 .071 .010 .001 .021 .171 .491 .726 .632 .325 .096 .022 .001 .028 .231 .647 .897 .706 .319 .082 .017 .001 .025 .244 .724 1.000 .733 .282 .051 .005 .000 .018 .188 .627 .913 .674 .245 .033 .000 .007 .018 .127 .441 .680 .535 .219 .037 .000 .025 .030 .101 .300 .454 .375 .183 .051 .005 .039 .043 .100 .235 .320 .254 .135 .054 .013 946 .000 4246 -.438 14.56618 .011993 .064069 -.003408 Correlation Surface at 1046 4246 .098 .000 .026 .102 .133 .047 .022 .001 .042 .016 .075 .263 .286 .151 .025 .002 .048 .023 .197 .712 .712 .390 .027 .001 .110 .237 .269 .813 1.000 .401 .004 .059 .063 .143 .103 .229 .347 .132 .082 .253 .100 .090 .023 .021 .023 .001 .080 .163 .077 .139 .050 .046 .031 .004 .006 .011 .004 .061 .012 .054 .063 .005 .016 .068 r_peak,r_snr = 9.80124E-02 11.45038 Correlation Surface of oversamples image at 1046 4246 .056 .108 .147 .159 .152 .123 .065 .018 .001 .121 .214 .271 .297 .301 .271 .179 .067 .006 .256 .408 .482 .520 .538 .510 .382 .179 .032 .410 .615 .724 .785 .819 .779 .606 .310 .069 .459 .683 .842 .945 1.000 .940 .723 .372 .085 .348 .536 .716 .842 .920 .875 .657 .323 .066 .175 .295 .444 .551 .624 .622 .473 .218 .036 .058 .110 .194 .253 .295 .319 .260 .113 .012 .016 .027 .054 .076 .092 .110 .098 .038 .001 1046 11.031 4246 -12.375 11.45039 .057794 .040277 -.004449 Correlation Surface at 1146 4246 .012 .120 .165 .095 .100 .048 .063 .097 .014 .037 .046 .110 .130 .085 .018 .042 .276 .236 .074 .073 .085 .112 .077 .003 .000 .147 .302 .044 .047 .133 .397 .402 .067 .005 .000 .056 .099 .011 .080 .695 1.000 .312 .000 .027 .001 .264 .049 .013 .331 .715 .458 .013 .012 .007 .258 .126 .018 .099 .384 .345 .004 .025 .003 .148 .058 .044 .042 .223 .242 .002 .094 .019 .219 .016 .023 .051 .058 .102 .003 .107 .023 r_peak,r_snr = .1101345 11.53115 Correlation Surface of oversamples image at 1146 4246 .074 .046 .048 .062 .047 .019 .001 .004 .006 .130 .123 .153 .204 .201 .124 .038 .000 .013 .150 .230 .357 .493 .523 .387 .180 .028 .003 .106 .265 .526 .771 .859 .712 .413 .124 .004 .046 .201 .529 .854 1.000 .914 .624 .257 .038 .018 .115 .397 .731 .910 .901 .691 .334 .072 .021 .064 .242 .515 .701 .740 .602 .306 .067 .051 .050 .138 .327 .503 .565 .462 .227 .040 .095 .053 .086 .207 .364 .438 .348 .158 .020 1146 8.063 4246 4.531 11.53116 .031600 .041329 -.013133 Correlation Surface at 1246 4246 .030 .061 .035 .160 .600 .243 .083 .037 .015 .026 .092 .112 .159 .340 .075 .013 .001 .000 .012 .000 .028 .205 .382 .027 .021 .012 .029 .029 .022 .000 .193 .778 .092 .047 .007 .035 .006 .005 .030 .257 1.000 .127 .022 .007 .052 .063 .003 .019 .280 .894 .049 .016 .016 .090 .171 .020 .005 .159 .744 .016 .051 .025 .034 .153 .087 .009 .205 .663 .025 .062 .009 .001 .172 .107 .021 .151 .408 .025 .040 .000 .011 r_peak,r_snr = .116172 12.49255 Correlation Surface of oversamples image at 1246 4246 .001 .025 .138 .315 .315 .088 .006 .099 .106 .003 .016 .164 .437 .470 .132 .013 .179 .178 .001 .025 .220 .620 .729 .248 .006 .209 .212 .007 .063 .300 .782 .942 .360 .001 .205 .218 .042 .118 .372 .858 1.000 .388 .000 .179 .202 .055 .133 .385 .835 .929 .346 .000 .143 .163 .024 .082 .307 .719 .787 .278 .000 .116 .127 .000 .027 .200 .568 .645 .225 .000 .096 .101 .009 .005 .132 .454 .539 .193 .000 .080 .088 1246 -.156 4246 -.031 12.49255 .009225 .264680 .011367 Correlation Surface at 1346 4246 .002 .019 .112 .287 .356 .277 .102 .017 .001 .009 .030 .107 .454 .666 .333 .109 .025 .000 .006 .021 .044 .348 .901 .437 .108 .028 .007 .003 .007 .053 .367 .939 .519 .098 .028 .022 .012 .003 .050 .431 1.000 .542 .059 .015 .015 .030 .025 .047 .300 .762 .442 .038 .008 .001 .033 .073 .117 .287 .441 .275 .076 .013 .001 .044 .069 .146 .446 .387 .130 .070 .025 .006 .027 .042 .086 .415 .409 .096 .040 .032 .006 r_peak,r_snr = .1826916 9.71423 Correlation Surface of oversamples image at 1346 4246 .027 .114 .304 .511 .593 .514 .341 .192 .099 .015 .092 .288 .539 .679 .624 .415 .213 .093 .016 .101 .318 .612 .799 .754 .506 .243 .088 .022 .120 .359 .700 .938 .896 .599 .272 .085 .026 .122 .357 .713 1.000 .985 .659 .289 .083 .027 .107 .304 .627 .924 .957 .662 .294 .085 .033 .098 .249 .500 .750 .816 .602 .289 .095 .056 .116 .233 .405 .566 .621 .491 .270 .107 .102 .176 .283 .392 .457 .461 .377 .239 .119 1346 .250 4246 2.063 9.71423 .010228 .111198 -.000122 Correlation Surface at 1446 4246 .000 .001 .013 .112 .139 .070 .014 .002 .006 .028 .000 .056 .106 .196 .149 .031 .009 .023 .031 .003 .110 .227 .384 .174 .002 .001 .013 .001 .003 .076 .470 .945 .293 .005 .023 .008 .006 .002 .001 .225 1.000 .284 .011 .045 .007 .069 .000 .006 .030 .378 .092 .075 .147 .003 .150 .031 .008 .021 .126 .017 .138 .334 .058 .086 .039 .018 .073 .210 .034 .020 .108 .023 .041 .015 .007 .077 .341 .065 .002 .001 .019 r_peak,r_snr = .1367914 20.06064 Correlation Surface of oversamples image at 1446 4246 .117 .126 .178 .304 .400 .335 .160 .026 .001 .159 .164 .227 .388 .508 .395 .151 .009 .015 .215 .224 .313 .522 .661 .480 .147 .001 .048 .235 .265 .404 .689 .860 .606 .173 .000 .070 .179 .226 .410 .769 1.000 .718 .216 .001 .069 .093 .134 .304 .664 .941 .714 .222 .001 .077 .046 .064 .170 .431 .671 .542 .160 .001 .129 .040 .036 .078 .207 .344 .281 .060 .029 .254 .062 .038 .040 .083 .129 .091 .004 .097 .413 1446 .000 4246 -1.375 20.06064 .008322 .036885 -.003389 Correlation Surface at 1546 4246 .003 .000 .133 .322 .349 .252 .078 .000 .008 .000 .001 .044 .163 .227 .312 .093 .001 .001 .005 .002 .000 .052 .269 .278 .044 .016 .023 .009 .005 .001 .084 .621 .476 .031 .037 .044 .033 .009 .002 .181 1.000 .580 .063 .016 .061 .030 .010 .009 .099 .826 .361 .069 .017 .017 .000 .002 .001 .093 .596 .211 .060 .124 .013 .018 .002 .030 .257 .619 .226 .100 .237 .016 .013 .014 .014 .324 .773 .329 .125 .250 .002 r_peak,r_snr = .108688 9.95564 Correlation Surface of oversamples image at 1546 4246 .000 .012 .105 .286 .434 .443 .294 .094 .002 .003 .004 .121 .374 .546 .502 .310 .099 .001 .005 .011 .194 .564 .774 .636 .344 .100 .001 .002 .029 .288 .752 .976 .732 .350 .090 .000 .003 .038 .333 .820 1.000 .676 .276 .062 .000 .008 .030 .313 .784 .907 .542 .183 .040 .001 .016 .011 .219 .617 .713 .374 .101 .027 .010 .025 .001 .112 .387 .463 .215 .045 .022 .037 .007 .006 .111 .327 .367 .157 .031 .030 .094 1546 .438 4246 -1.156 9.95564 .017566 .103363 .004780 Correlation Surface at 1646 4246 .318 .156 .017 .083 .222 .071 .018 .000 .067 .324 .153 .007 .050 .128 .023 .007 .015 .047 .317 .174 .002 .118 .208 .045 .001 .011 .023 .314 .168 .000 .331 .652 .209 .000 .003 .042 .273 .150 .001 .391 1.000 .473 .026 .005 .054 .236 .209 .009 .262 .865 .551 .159 .003 .052 .215 .262 .017 .286 .700 .429 .222 .021 .047 .176 .265 .018 .347 .627 .222 .116 .007 .065 .112 .242 .059 .286 .720 .193 .049 .009 .099 r_peak,r_snr = .1470821 9.39757 Correlation Surface of oversamples image at 1646 4246 .002 .095 .278 .403 .395 .281 .132 .048 .022 .000 .097 .335 .532 .533 .372 .171 .053 .014 .000 .096 .382 .673 .724 .515 .234 .065 .010 .001 .085 .393 .774 .909 .683 .324 .095 .014 .008 .050 .329 .762 1.000 .812 .419 .143 .029 .032 .012 .217 .654 .986 .871 .494 .205 .064 .064 .001 .140 .540 .915 .865 .531 .261 .111 .060 .002 .130 .460 .781 .774 .511 .284 .150 .042 .013 .178 .455 .668 .651 .464 .293 .179 1646 .063 4246 -2.750 9.39757 .014820 .077261 -.012806 Correlation Surface at 1746 4246 .072 .275 .235 .014 .249 .231 .033 .021 .041 .000 .028 .131 .052 .298 .248 .005 .060 .220 .021 .045 .003 .021 .064 .020 .119 .376 .374 .005 .232 .018 .093 .173 .185 .396 .730 .330 .002 .581 .184 .112 1.000 .563 .293 .485 .091 .048 .472 .298 .005 .839 .368 .028 .155 .002 .006 .026 .045 .004 .259 .071 .026 .003 .000 .022 .008 .000 .036 .070 .033 .012 .016 .030 .321 .222 .000 .104 .139 .129 .000 .095 .001 r_peak,r_snr = 7.24831E-02 8.66418 Correlation Surface of oversamples image at 1746 4246 .092 .000 .040 .054 .029 .016 .015 .039 .157 .215 .014 .051 .168 .192 .165 .133 .140 .282 .316 .027 .083 .376 .518 .416 .259 .185 .262 .446 .056 .082 .543 .858 .639 .285 .122 .134 .594 .121 .040 .536 1.000 .711 .210 .030 .024 .672 .216 .003 .358 .817 .559 .087 .004 .010 .558 .267 .007 .156 .456 .294 .011 .072 .122 .265 .176 .016 .046 .168 .097 .001 .124 .221 .040 .037 .002 .014 .039 .017 .004 .076 .166 1746 -2.938 4246 .469 8.66418 .032292 .056507 -.010147 Correlation Surface at 1946 4246 .012 .298 .075 .009 .029 .129 .227 .025 .000 .039 .095 .107 .009 .026 .019 .449 .225 .054 .075 .007 .002 .000 .018 .004 .350 .230 .027 .064 .119 .165 .304 .210 .094 .085 .017 .016 .046 .116 .381 .973 1.000 .173 .004 .004 .063 .000 .001 .072 .472 .884 .075 .026 .077 .049 .000 .126 .022 .006 .277 .005 .148 .324 .048 .071 .147 .081 .004 .230 .050 .165 .494 .100 .006 .250 .153 .002 .542 .257 .085 .391 .187 r_peak,r_snr = 8.65778E-02 8.56134 Correlation Surface of oversamples image at 1946 4246 .005 .006 .007 .004 .003 .005 .020 .070 .178 .094 .124 .153 .145 .130 .101 .081 .094 .139 .212 .306 .421 .470 .437 .299 .152 .091 .094 .235 .392 .609 .791 .791 .521 .199 .056 .033 .138 .320 .587 .887 1.000 .676 .211 .019 .000 .025 .158 .380 .686 .903 .671 .189 .001 .034 .005 .033 .142 .337 .563 .493 .140 .002 .102 .050 .000 .020 .085 .231 .280 .096 .004 .124 .080 .012 .000 .006 .068 .153 .085 .000 .091 1946 -.563 4246 -4.406 8.56134 .047197 .046710 .005906 Correlation Surface at 2046 4246 .207 .455 .111 .000 .003 .472 .332 .007 .166 .224 .337 .188 .000 .018 .114 .503 .048 .065 .014 .154 .234 .001 .043 .004 .143 .041 .060 .059 .061 .087 .041 .531 .273 .017 .153 .556 .078 .218 .276 .029 1.000 .417 .042 .293 .281 .004 .393 .711 .025 .432 .084 .004 .044 .011 .204 .245 .541 .164 .043 .041 .012 .000 .001 .250 .067 .095 .267 .061 .038 .010 .002 .090 .038 .053 .013 .001 .016 .000 .007 .138 .222 r_peak,r_snr = 6.79280E-02 7.345 Correlation Surface of oversamples image at 2046 4246 .126 .441 .474 .204 .000 .001 .116 .170 .051 .016 .118 .007 .001 .040 .236 .438 .223 .218 .390 .716 .596 .453 .552 .776 1.000 .342 .360 .610 .821 .800 .028 .083 .360 .571 .436 .088 .019 .080 .286 .203 .344 .239 .002 .098 .108 2046 -7.188 4246 8.375 7.34500 .022187 .072048 -.002767 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .072 .150 .163 .017 .281 .172 .133 .305 .217 .136 .239 .172 .051 .336 .215 .170 .338 .180 .165 .347 .207 .107 .584 .319 .135 .218 .098 .097 .209 .098 .190 .970 .600 .215 .212 .077 .063 .098 .034 .181 1.000 .830 .373 .202 .063 .040 .106 .047 .104 .759 .640 .336 .110 .044 .020 .169 .099 .040 .478 .358 .175 .055 .018 .007 .147 .117 .036 .380 .367 .211 .072 .010 .010 .110 .099 .072 .455 .472 .263 .092 .011 r_peak,r_snr = .1353365 6.5641 Correlation Surface of oversamples image at 146 4646 .000 .129 .390 .484 .379 .232 .156 .141 .138 .000 .167 .509 .673 .557 .341 .206 .153 .123 .002 .189 .580 .835 .764 .504 .299 .199 .141 .007 .192 .586 .915 .931 .682 .425 .273 .183 .014 .185 .552 .910 1.000 .803 .538 .351 .230 .019 .182 .521 .869 .980 .824 .588 .400 .262 .018 .178 .504 .819 .901 .753 .554 .395 .266 .011 .161 .471 .745 .785 .635 .471 .352 .247 .003 .128 .405 .634 .652 .521 .395 .312 .227 146 .406 4646 2.094 6.56410 .017047 .269257 -.016889 Correlation Surface at 246 4646 .017 .007 .016 .109 .217 .656 .481 .136 .022 .017 .001 .009 .000 .083 .487 .431 .108 .003 .059 .082 .028 .001 .047 .152 .117 .083 .037 .114 .182 .027 .156 .429 .246 .054 .045 .125 .003 .007 .006 .236 1.000 .618 .135 .018 .090 .000 .000 .004 .049 .670 .768 .271 .020 .022 .013 .022 .012 .000 .193 .685 .687 .155 .043 .004 .017 .001 .032 .114 .407 .968 .477 .137 .012 .003 .002 .074 .075 .087 .290 .314 .113 r_peak,r_snr = 9.42053E-02 11.0342 Correlation Surface of oversamples image at 246 4646 .011 .008 .043 .067 .092 .124 .134 .121 .114 .015 .036 .201 .307 .289 .221 .144 .078 .041 .011 .057 .373 .661 .630 .425 .230 .101 .033 .006 .052 .408 .865 .934 .686 .398 .194 .075 .003 .028 .298 .781 1.000 .868 .603 .355 .175 .001 .012 .167 .536 .835 .888 .767 .552 .328 .002 .012 .094 .325 .604 .796 .858 .752 .524 .018 .031 .081 .214 .420 .653 .855 .911 .756 .047 .071 .102 .172 .292 .471 .711 .922 .927 246 -.063 4646 -8.656 11.03421 .032036 .056264 -.016608 Correlation Surface at 346 4646 .127 .010 .001 .090 .543 .455 .074 .004 .042 .026 .019 .025 .002 .148 .260 .029 .006 .045 .052 .025 .002 .011 .083 .185 .050 .004 .007 .157 .015 .209 .399 .426 .258 .165 .001 .009 .098 .061 .451 .982 1.000 .325 .196 .012 .045 .016 .004 .029 .346 .810 .372 .087 .001 .022 .067 .044 .009 .004 .153 .134 .000 .001 .012 .102 .000 .031 .000 .003 .001 .044 .002 .094 .040 .023 .102 .019 .017 .027 .001 .007 .095 r_peak,r_snr = .1077726 9.33385 Correlation Surface of oversamples image at 346 4646 .007 .020 .014 .002 .002 .028 .094 .131 .069 .032 .101 .125 .093 .088 .129 .179 .171 .090 .116 .297 .407 .394 .376 .375 .335 .233 .111 .231 .521 .744 .796 .776 .676 .486 .277 .121 .253 .545 .831 .975 1.000 .852 .567 .293 .122 .154 .342 .575 .756 .848 .777 .545 .279 .110 .045 .117 .234 .354 .463 .503 .407 .217 .076 .002 .014 .039 .077 .138 .208 .210 .114 .030 .001 .000 .000 .000 .006 .034 .055 .027 .001 346 -.656 4646 8.031 9.33385 .053623 .051725 -.007898 Correlation Surface at 446 4646 .000 .057 .030 .159 .784 .770 .307 .071 .029 .059 .006 .000 .116 .616 .702 .383 .161 .092 .053 .023 .027 .185 .555 .548 .260 .137 .110 .039 .003 .006 .232 .740 .586 .128 .029 .056 .264 .103 .012 .303 1.000 .615 .057 .000 .030 .494 .281 .065 .348 .957 .479 .022 .015 .019 .222 .106 .077 .381 .876 .276 .003 .002 .049 .084 .020 .067 .341 .747 .178 .001 .003 .115 .229 .082 .080 .156 .373 .148 .000 .001 .076 r_peak,r_snr = .132065 6.93441 Correlation Surface of oversamples image at 446 4646 .011 .066 .207 .398 .563 .619 .489 .237 .064 .017 .082 .282 .552 .714 .678 .469 .206 .042 .054 .134 .389 .731 .871 .718 .428 .167 .026 .125 .200 .475 .853 .987 .746 .391 .139 .019 .183 .238 .486 .849 1.000 .740 .349 .110 .015 .195 .241 .442 .751 .909 .670 .278 .066 .008 .190 .251 .417 .666 .798 .571 .200 .027 .001 .181 .271 .420 .616 .705 .479 .142 .007 .001 .157 .264 .394 .543 .603 .399 .109 .002 .005 446 -.094 4646 -.219 6.93441 .018298 .231254 .019252 Correlation Surface at 546 4646 .243 .132 .198 .316 .549 .874 .761 .437 .215 .284 .160 .174 .289 .532 .774 .654 .368 .145 .204 .130 .179 .424 .612 .596 .501 .346 .166 .127 .102 .197 .587 .886 .659 .520 .433 .275 .107 .100 .153 .434 1.000 .944 .677 .527 .357 .121 .144 .156 .276 .765 .963 .705 .443 .277 .137 .195 .249 .368 .669 .752 .660 .424 .242 .143 .204 .264 .546 .944 .737 .634 .526 .327 .147 .222 .246 .466 .975 .779 .592 .511 .344 r_peak,r_snr = .2307066 4.81434 Correlation Surface of oversamples image at 546 4646 .250 .249 .303 .424 .566 .670 .714 .724 .703 .323 .342 .411 .528 .617 .638 .626 .623 .624 .362 .419 .535 .692 .757 .691 .597 .554 .560 .354 .438 .605 .828 .910 .788 .619 .527 .518 .345 .431 .610 .871 1.000 .885 .687 .559 .529 546 .094 4646 2.781 4.81434 .023434 .070851 -.026215 Correlation Surface at 646 4646 .304 .764 .804 .046 .004 .000 .086 .006 .042 .362 .645 .840 .293 .007 .015 .294 .065 .076 .006 .014 .029 .006 .021 .001 .327 .058 .006 .171 .312 .200 .548 .767 .264 .016 .002 .032 .310 .398 .105 .429 1.000 .480 .048 .006 .023 .083 .025 .011 .011 .109 .180 .035 .002 .033 .228 .173 .094 .065 .001 .037 .007 .000 .007 .494 .263 .049 .001 .000 .000 .007 .002 .001 .006 .001 .004 .023 .038 .204 .074 .001 .002 r_peak,r_snr = 6.60378E-02 6.96773 Correlation Surface of oversamples image at 646 4646 .160 .118 .048 .005 .002 .003 .003 .044 .103 .018 .006 .002 .030 .065 .053 .007 .016 .077 .010 .027 .105 .246 .332 .259 .093 .003 .016 .051 .089 .261 .573 .763 .594 .257 .051 .002 .052 .080 .267 .682 1.000 .809 .368 .097 .017 .024 .026 .130 .454 .790 .703 .337 .090 .016 .003 .000 .018 .157 .380 .404 .218 .057 .005 .003 .018 .003 .019 .106 .152 .102 .027 .000 .023 .048 .024 .000 .019 .040 .037 .010 .000 646 -9.938 4646 -1.469 6.96773 .081298 .057768 -.031330 Correlation Surface at 746 4646 .060 .096 .214 .179 .112 .002 .069 .011 .006 .024 .035 .260 .273 .285 .074 .009 .027 .000 .003 .014 .209 .374 .468 .233 .026 .006 .008 .000 .028 .171 .479 .799 .607 .195 .022 .000 .001 .003 .087 .456 1.000 .859 .257 .042 .024 .020 .003 .018 .231 .867 .787 .196 .047 .121 .058 .018 .053 .161 .511 .478 .145 .100 .289 .006 .050 .164 .206 .330 .130 .060 .083 .227 .023 .002 .172 .158 .280 .090 .071 .130 .038 r_peak,r_snr = .1140891 12.48774 Correlation Surface of oversamples image at 746 4646 .107 .214 .344 .509 .623 .542 .298 .097 .016 .143 .266 .433 .604 .695 .610 .387 .179 .066 .185 .334 .557 .752 .803 .690 .478 .263 .121 .171 .332 .614 .876 .931 .773 .538 .304 .136 .086 .215 .503 .858 1.000 .824 .540 .277 .100 .014 .075 .284 .659 .914 .794 .486 .205 .049 .001 .011 .118 .405 .688 .660 .395 .136 .017 .007 .001 .056 .242 .458 .483 .299 .094 .008 .001 .005 .057 .184 .308 .322 .209 .068 .006 746 -1.063 4646 -2.031 12.48775 .078843 .328735 -.089680 Correlation Surface at 846 4646 .119 .193 .279 .267 .080 .010 .054 .048 .045 .134 .201 .292 .253 .228 .047 .026 .040 .017 .273 .504 .430 .290 .528 .191 .058 .061 .018 .274 .660 .554 .419 .918 .377 .091 .062 .019 .104 .384 .458 .440 1.000 .469 .068 .052 .021 .031 .243 .402 .380 .825 .402 .041 .053 .061 .021 .230 .347 .335 .519 .282 .030 .026 .091 .079 .201 .215 .247 .237 .087 .014 .000 .005 .063 .117 .130 .213 .165 .030 .021 .000 .036 r_peak,r_snr = .1159995 9.13311 Correlation Surface of oversamples image at 846 4646 .307 .535 .759 .891 .837 .628 .533 .709 .920 .269 .451 .662 .811 .755 .554 .471 .633 .831 .212 .378 .593 .779 .745 .533 .440 .572 .735 .136 .335 .606 .856 .860 .621 .486 .575 .690 .056 .274 .609 .940 1.000 .756 .580 .622 .682 .009 .182 .516 .877 .987 .791 .621 .627 .626 .000 .100 .351 .645 .765 .643 .527 .507 .450 .000 .058 .193 .361 .456 .407 .347 .313 .222 .003 .039 .089 .151 .203 .204 .193 .164 .073 846 -2.156 4646 2.156 9.13311 .022597 .429354 -.009912 Correlation Surface at 946 4646 .039 .044 .058 .300 .702 .117 .004 .003 .022 .075 .071 .067 .186 .586 .138 .017 .001 .068 .081 .067 .036 .091 .570 .161 .015 .004 .052 .053 .035 .016 .130 .753 .243 .006 .056 .004 .039 .036 .060 .304 1.000 .367 .000 .055 .031 .024 .030 .108 .408 .907 .334 .008 .005 .000 .006 .008 .081 .319 .653 .247 .006 .000 .003 .003 .020 .091 .198 .474 .289 .036 .000 .003 .003 .037 .066 .119 .396 .297 .079 .003 .018 r_peak,r_snr = .159342 13.91506 Correlation Surface of oversamples image at 946 4646 .012 .013 .071 .286 .506 .384 .088 .001 .042 .039 .050 .153 .428 .672 .527 .164 .005 .018 .092 .132 .285 .600 .825 .637 .238 .029 .000 .139 .233 .438 .764 .940 .703 .289 .064 .010 .138 .284 .545 .873 1.000 .729 .308 .086 .032 .100 .263 .554 .882 .989 .721 .307 .090 .039 .074 .213 .480 .791 .907 .686 .314 .097 .037 .077 .173 .369 .629 .760 .620 .329 .122 .042 .098 .142 .258 .452 .584 .522 .330 .159 .062 946 -.094 4646 1.094 13.91507 .008387 .123762 .008416 Correlation Surface at 1046 4646 .241 .264 .004 .035 .015 .032 .014 .018 .007 .072 .074 .003 .021 .005 .004 .040 .021 .026 .034 .044 .013 .053 .165 .008 .008 .006 .069 .049 .142 .001 .312 .609 .073 .000 .009 .189 .065 .176 .007 .340 1.000 .110 .009 .170 .324 .036 .112 .055 .092 .704 .031 .123 .493 .414 .008 .067 .163 .018 .301 .005 .221 .478 .460 .048 .102 .245 .000 .190 .000 .161 .357 .340 .278 .247 .308 .062 .041 .018 .090 .383 .185 r_peak,r_snr = 9.48142E-02 11.13887 Correlation Surface of oversamples image at 1046 4646 .040 .000 .073 .198 .216 .122 .021 .000 .001 .033 .003 .106 .297 .367 .217 .036 .001 .001 .032 .009 .152 .435 .592 .387 .078 .000 .007 .034 .009 .168 .540 .841 .644 .180 .002 .010 .038 .003 .139 .548 1.000 .902 .327 .016 .013 .044 .000 .094 .455 .955 .991 .426 .032 .020 .053 .002 .052 .314 .725 .826 .384 .027 .034 .068 .013 .017 .172 .429 .504 .224 .006 .062 .086 .037 .001 .073 .200 .224 .078 .002 .099 1046 -.250 4646 -.688 11.13888 .013941 .089954 -.004372 Correlation Surface at 1146 4646 .034 .059 .381 .146 .096 .165 .016 .154 .010 .088 .007 .195 .354 .429 .430 .001 .054 .000 .112 .218 .000 .360 .729 .607 .056 .010 .027 .108 .278 .003 .455 .921 .561 .068 .044 .020 .082 .195 .007 .664 1.000 .644 .128 .089 .035 .119 .215 .026 .256 .545 .604 .277 .158 .097 .161 .233 .155 .001 .067 .317 .329 .125 .047 .049 .274 .151 .003 .037 .237 .335 .162 .009 .000 .219 .175 .013 .182 .381 .299 .316 .044 r_peak,r_snr = .1006967 11.00789 Correlation Surface of oversamples image at 1146 4646 .254 .177 .126 .151 .210 .164 .034 .004 .052 .251 .230 .228 .308 .377 .250 .047 .004 .043 .180 .246 .341 .527 .637 .426 .109 .000 .018 .087 .229 .440 .737 .886 .621 .211 .021 .001 .029 .205 .512 .876 1.000 .698 .272 .051 .003 .012 .200 .562 .938 .978 .624 .233 .049 .006 .022 .240 .614 .959 .910 .502 .151 .023 .002 .067 .326 .667 .951 .861 .429 .098 .006 .000 .116 .386 .666 .875 .806 .417 .093 .004 .000 1146 -.656 4646 4.281 11.00789 .082922 .128134 -.027641 Correlation Surface at 1246 4646 .193 .326 .031 .155 .644 .520 .095 .000 .056 .331 .539 .065 .148 .545 .420 .105 .001 .057 .332 .536 .079 .179 .598 .284 .064 .000 .059 .171 .348 .067 .250 .886 .376 .066 .011 .025 .065 .171 .043 .228 1.000 .566 .057 .000 .041 .074 .100 .012 .189 .702 .552 .104 .013 .176 .115 .089 .001 .143 .374 .336 .186 .000 .164 .098 .103 .004 .056 .161 .180 .119 .003 .056 r_peak,r_snr = .1443388 10.30306 Correlation Surface of oversamples image at 1246 4646 .099 .001 .140 .372 .465 .372 .234 .146 .099 .073 .008 .204 .514 .620 .453 .237 .120 .080 .042 .021 .275 .669 .821 .604 .295 .122 .068 .025 .031 .311 .756 .969 .752 .374 .138 .057 .021 .032 .307 .750 1.000 .836 .457 .175 .058 .018 .030 .284 .680 .908 .806 .511 .240 .086 .013 .030 .254 .578 .744 .672 .496 .310 .146 .007 .031 .213 .457 .567 .516 .434 .356 .224 .004 .029 .160 .332 .415 .394 .366 .361 .278 1246 .031 4646 10.875 10.30306 .011621 .103964 -.008204 Correlation Surface at 1346 4646 .001 .010 .043 .228 .387 .330 .313 .275 .236 .007 .012 .030 .217 .469 .456 .421 .385 .247 .013 .013 .028 .251 .639 .621 .449 .461 .329 .026 .010 .014 .254 .810 .628 .336 .333 .344 .018 .013 .011 .288 1.000 .747 .391 .292 .295 .002 .008 .026 .318 .940 .860 .593 .390 .285 .007 .010 .052 .344 .787 .774 .577 .406 .258 .009 .019 .085 .397 .815 .713 .470 .343 .196 .000 .011 .079 .349 .783 .607 .367 .307 .172 r_peak,r_snr = .2222687 6.75671 Correlation Surface of oversamples image at 1346 4646 .057 .123 .287 .523 .668 .642 .533 .431 .382 .043 .113 .299 .581 .772 .732 .567 .419 .348 .036 .114 .329 .653 .872 .823 .622 .445 .358 .038 .128 .375 .732 .957 .906 .703 .519 .418 .048 .146 .411 .781 1.000 .951 .780 .618 .509 .061 .155 .404 .759 .970 .933 .803 .680 .577 .077 .158 .372 .689 .896 .878 .772 .674 .579 .099 .172 .353 .629 .830 .832 .734 .637 .542 .118 .194 .359 .603 .792 .807 .710 .603 .508 1346 .125 4646 .594 6.75671 .007147 .101691 -.003792 Correlation Surface at 1446 4646 .225 .140 .108 .036 .091 .327 .216 .080 .003 .082 .148 .174 .021 .110 .118 .076 .034 .029 .050 .067 .153 .002 .368 .172 .046 .036 .016 .096 .045 .146 .014 .850 .513 .155 .159 .005 .260 .134 .225 .014 1.000 .685 .118 .144 .027 .345 .275 .305 .001 .773 .509 .007 .001 .012 .108 .044 .103 .013 .507 .189 .011 .090 .154 .013 .093 .036 .090 .350 .048 .012 .038 .068 .004 .195 .178 .108 .276 .069 .014 .004 .010 r_peak,r_snr = .1115455 10.61344 Correlation Surface of oversamples image at 1446 4646 .116 .013 .087 .394 .464 .250 .081 .036 .056 .062 .000 .205 .643 .708 .374 .116 .044 .066 .038 .011 .316 .845 .897 .469 .136 .040 .050 .035 .016 .356 .929 .997 .526 .145 .029 .025 .041 .012 .325 .886 1.000 .548 .149 .021 .008 .051 .005 .259 .751 .891 .500 .127 .010 .000 .054 .002 .197 .593 .711 .383 .079 .001 .008 .031 .002 .149 .434 .495 .237 .030 .004 .031 .003 .006 .118 .295 .283 .100 .003 .017 .050 1446 .313 4646 .188 10.61345 .010769 .217044 -.005134 Correlation Surface at 1546 4646 .008 .018 .076 .353 .620 .295 .062 .000 .003 .001 .006 .100 .306 .536 .293 .037 .002 .007 .031 .002 .100 .372 .554 .453 .098 .002 .019 .033 .018 .045 .464 .757 .551 .126 .006 .048 .003 .011 .011 .414 1.000 .512 .047 .032 .061 .000 .001 .003 .258 .936 .468 .024 .045 .061 .000 .000 .012 .241 .751 .351 .017 .011 .045 .003 .001 .073 .398 .754 .311 .008 .007 .038 .008 .005 .124 .444 .765 .439 .030 .020 .056 r_peak,r_snr = .2028608 11.15782 Correlation Surface of oversamples image at 1546 4646 .154 .370 .560 .651 .640 .567 .458 .310 .149 .121 .360 .634 .791 .756 .612 .451 .289 .134 .085 .311 .643 .901 .892 .675 .430 .229 .087 .052 .236 .572 .916 .993 .757 .431 .183 .048 .030 .163 .451 .822 1.000 .817 .456 .167 .029 .020 .115 .342 .682 .915 .812 .471 .168 .025 .023 .101 .287 .580 .805 .745 .449 .166 .028 .038 .121 .295 .551 .733 .666 .400 .149 .029 .066 .165 .346 .580 .720 .626 .363 .127 .023 1546 -.094 4646 -.813 11.15782 .007825 .084372 -.004578 Correlation Surface at 1646 4646 .006 .004 .001 .070 .287 .076 .001 .000 .000 .011 .000 .000 .280 .964 .452 .004 .023 .003 .000 .000 .008 .199 1.000 .777 .087 .001 .017 .077 .012 .017 .016 .386 .331 .149 .041 .038 .066 .037 .013 .064 .252 .033 .001 .002 .073 .005 .027 .014 .154 .275 .088 .005 .119 .248 .019 .016 .029 .028 .294 .515 .126 .055 .476 r_peak,r_snr = 8.67306E-02 9.49855 Correlation Surface of oversamples image at 1646 4646 .028 .000 .034 .104 .114 .066 .026 .007 .001 .012 .016 .149 .319 .317 .159 .039 .003 .001 .000 .088 .380 .687 .684 .361 .090 .007 .000 .000 .124 .502 .925 .999 .603 .184 .027 .002 .010 .053 .356 .799 1.000 .711 .264 .055 .009 .065 .000 .125 .446 .696 .577 .244 .057 .009 .106 .021 .014 .157 .334 .309 .130 .025 .001 .053 .024 .000 .038 .118 .109 .032 .001 .003 .001 .000 .001 .019 .057 .043 .005 .003 .014 1646 -.625 4646 -13.313 9.49855 .040268 .104088 -.017806 Correlation Surface at 1746 4646 .035 .004 .087 .161 .400 .072 .008 .012 .196 .275 .310 .016 .277 1.000 .151 .026 .041 .541 .140 .225 .125 .049 .623 .011 .352 .156 .226 .128 .005 .003 .034 .407 .004 .791 .618 .365 .449 .014 .086 .105 .314 .002 .503 .598 .673 .350 .004 .242 .223 .063 .000 .074 .113 .118 r_peak,r_snr = 6.57592E-02 5.42901 Correlation Surface of oversamples image at 1746 4646 .139 .100 .101 .126 .103 .038 .006 .011 .059 .203 .253 .307 .345 .265 .118 .041 .041 .085 .144 .295 .490 .677 .597 .302 .107 .067 .090 .054 .184 .448 .856 .941 .534 .166 .049 .040 .008 .063 .261 .722 1.000 .632 .161 .008 .000 .001 .006 .099 .438 .755 .525 .095 .010 .088 .010 .002 .029 .246 .508 .378 .043 .065 .275 .014 .010 .012 .178 .399 .313 .031 .088 .382 .007 .011 .007 .149 .360 .304 .045 .054 .336 1746 5.906 4646 -13.719 5.42901 .027315 .085666 -.000497 Correlation Surface at 1846 4646 .023 .001 .002 .055 .340 .266 .267 .269 .155 .011 .004 .020 .177 .378 .184 .291 .260 .090 .001 .021 .129 .421 .526 .086 .111 .172 .098 .027 .007 .094 .592 .959 .219 .051 .070 .073 .032 .125 .000 .341 1.000 .376 .125 .093 .021 .008 .059 .000 .179 .575 .203 .119 .132 .007 .001 .007 .029 .229 .378 .134 .120 .149 .026 .003 .027 .000 .103 .360 .234 .232 .198 .062 .001 .062 .052 .012 .339 .333 .191 .098 .076 r_peak,r_snr = .1296972 12.98989 Correlation Surface of oversamples image at 1846 4646 .054 .121 .283 .491 .502 .283 .084 .022 .029 .113 .220 .414 .612 .563 .295 .075 .012 .009 .123 .300 .570 .813 .728 .377 .093 .012 .005 .060 .275 .630 .966 .920 .506 .138 .023 .011 .003 .150 .508 .923 1.000 .624 .210 .052 .034 .012 .042 .298 .705 .897 .647 .266 .090 .071 .020 .010 .153 .468 .686 .543 .244 .090 .073 .002 .017 .119 .331 .486 .390 .173 .056 .040 .011 .066 .179 .325 .392 .298 .139 .044 .023 1846 -.219 4646 -.688 12.98989 .014214 .098955 -.012916 Correlation Surface at 1946 4646 .012 .037 .016 .097 .326 .122 .020 .028 .038 .003 .014 .065 .290 .346 .082 .003 .029 .023 .006 .000 .051 .430 .605 .093 .008 .001 .012 .004 .002 .044 .411 .978 .321 .001 .008 .000 .016 .007 .034 .291 1.000 .588 .041 .005 .000 .002 .002 .030 .188 .579 .502 .081 .000 .018 .034 .003 .108 .222 .335 .295 .113 .004 .038 .098 .000 .176 .241 .305 .227 .046 .009 .040 .232 .070 .055 .219 .391 .185 .000 .002 .045 r_peak,r_snr = .1205741 13.51891 Correlation Surface of oversamples image at 1946 4646 .006 .050 .148 .253 .272 .163 .036 .000 .005 .015 .091 .250 .413 .423 .244 .052 .001 .020 .039 .144 .359 .614 .663 .416 .115 .001 .022 .074 .184 .409 .741 .898 .658 .254 .027 .006 .092 .182 .377 .725 1.000 .864 .433 .098 .001 .081 .145 .294 .598 .921 .916 .554 .183 .019 .066 .109 .214 .441 .718 .796 .559 .239 .054 .070 .100 .167 .311 .491 .567 .449 .238 .084 .096 .116 .150 .226 .319 .349 .290 .182 .083 1946 .156 4646 4.656 13.51892 .021901 .130282 -.021282 Correlation Surface at 2046 4646 .002 .046 .023 .045 .000 .000 .024 .030 .020 .077 .065 .094 .002 .055 .046 .018 .027 .000 .036 .028 .012 .049 .157 .095 .101 .004 .024 .028 .284 .271 .277 .234 .258 .179 .146 .024 1.000 .966 .410 .261 .039 .024 .017 .033 .489 .432 .354 .352 .004 .058 .089 .092 .066 .001 .000 .107 .001 .029 .028 .021 .006 .129 .122 .018 r_peak,r_snr = 7.71295E-02 10.73711 Correlation Surface of oversamples image at 2046 4646 .085 .029 .002 .016 .082 .151 .186 .149 .071 .026 .000 .020 .078 .159 .210 .198 .124 .059 .000 .072 .204 .339 .405 .341 .210 .084 .030 .005 .203 .508 .752 .790 .553 .254 .065 .013 .005 .224 .595 .910 1.000 .749 .365 .100 .020 .002 .148 .394 .616 .753 .706 .479 .208 .065 .002 .080 .169 .229 .309 .401 .424 .297 .135 .008 .046 .047 .031 .040 .099 .199 .216 .126 .018 .030 .007 .003 .010 .000 .023 .054 .037 2046 11.875 4646 10.969 10.73711 .030406 .037342 -.002290 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .002 .024 .144 .325 .355 .202 .001 .203 .195 .004 .024 .131 .379 .542 .322 .033 .030 .035 .024 .000 .134 .459 .619 .304 .045 .000 .026 .015 .004 .119 .589 .717 .367 .055 .000 .055 .008 .003 .099 .679 1.000 .542 .167 .000 .030 .034 .011 .080 .464 .848 .475 .198 .000 .030 .004 .000 .065 .406 .630 .360 .072 .005 .041 .000 .002 .065 .541 .782 .303 .009 .011 .036 .005 .001 .066 .414 .858 .311 .001 .028 .018 r_peak,r_snr = .1253786 9.01204 Correlation Surface of oversamples image at 146 5046 .147 .314 .483 .625 .701 .660 .476 .242 .087 .157 .350 .531 .657 .703 .634 .444 .225 .084 .148 .349 .563 .717 .769 .671 .455 .241 .102 .107 .289 .555 .799 .901 .785 .522 .296 .147 .055 .185 .467 .811 1.000 .901 .612 .366 .195 .024 .101 .336 .709 .971 .923 .655 .409 .219 .017 .068 .238 .552 .823 .831 .618 .395 .207 .026 .078 .208 .438 .657 .685 .518 .324 .160 .043 .119 .249 .422 .568 .568 .412 .234 .102 146 .125 5046 -5.781 9.01204 .040720 .130174 -.018270 Correlation Surface at 246 5046 .108 .057 .078 .077 .010 .299 .340 .066 .046 .026 .022 .089 .041 .194 .293 .054 .001 .058 .000 .097 .271 .301 .479 .473 .124 .008 .009 .001 .057 .115 .487 .787 .531 .384 .110 .003 .016 .002 .034 .545 1.000 .458 .392 .241 .033 .045 .034 .017 .439 .724 .277 .184 .108 .002 .005 .115 .029 .067 .315 .079 .019 .001 .020 .002 .052 .090 .001 .157 .062 .004 .033 .033 .004 .003 .014 .001 .031 .035 .019 .031 .001 r_peak,r_snr = 8.68798E-02 9.95511 Correlation Surface of oversamples image at 246 5046 .583 .467 .403 .461 .549 .464 .187 .015 .003 .458 .455 .494 .578 .605 .461 .216 .071 .030 .286 .376 .563 .744 .754 .540 .272 .155 .157 .164 .285 .564 .868 .941 .701 .371 .249 .314 .108 .232 .519 .862 1.000 .793 .432 .286 .370 .073 .204 .462 .753 .874 .695 .364 .212 .261 .024 .143 .377 .619 .679 .482 .207 .087 .098 .000 .056 .252 .489 .529 .318 .089 .014 .013 .028 .003 .113 .342 .431 .250 .046 .000 .000 246 -1.063 5046 8.875 9.95511 .050143 .221621 .022117 Correlation Surface at 346 5046 .075 .074 .000 .038 .151 .306 .138 .104 .088 .013 .078 .000 .116 .330 .513 .228 .093 .108 .014 .081 .000 .256 .611 .312 .004 .021 .002 .025 .040 .003 .534 .910 .112 .042 .197 .023 .022 .014 .001 .555 1.000 .131 .018 .117 .003 .031 .037 .005 .354 .777 .212 .001 .005 .007 .022 .036 .000 .316 .595 .198 .000 .000 .057 .001 .003 .062 .345 .629 .163 .029 .075 .012 r_peak,r_snr = 9.14496E-02 9.26642 Correlation Surface of oversamples image at 346 5046 .032 .000 .057 .204 .361 .449 .457 .389 .259 .019 .006 .100 .309 .530 .598 .471 .265 .100 .009 .016 .160 .464 .751 .747 .445 .140 .013 .002 .024 .198 .595 .959 .885 .420 .065 .002 .000 .023 .179 .589 1.000 .936 .420 .041 .016 .000 .013 .115 .438 .820 .842 .434 .057 .013 .001 .003 .058 .279 .573 .648 .414 .097 .001 .009 .000 .032 .192 .393 .440 .328 .124 .004 .017 .000 .038 .188 .322 .303 .227 .123 .019 346 .688 5046 10.375 9.26642 .024088 .501854 -.042805 Correlation Surface at 446 5046 .047 .000 .020 .017 .014 .025 .013 .013 .032 .064 .010 .003 .087 .091 .093 .069 .000 .006 .001 .063 .090 .376 .480 .003 .002 .040 .079 .027 .165 .203 .602 .970 .188 .001 .000 .115 .007 .147 .128 .503 1.000 .229 .053 .185 .000 .024 .005 .008 .136 .844 .264 .022 .118 .037 .027 .022 .068 .001 .624 .302 .000 .000 .001 .000 .003 .061 .019 .328 .295 .000 .000 .007 .006 .030 .001 .028 .060 .115 .002 .020 .011 r_peak,r_snr = 8.89913E-02 12.95035 Correlation Surface of oversamples image at 446 5046 .115 .133 .260 .440 .470 .305 .117 .018 .000 .119 .149 .322 .567 .619 .421 .181 .031 .003 .100 .145 .357 .689 .824 .609 .281 .051 .006 .056 .102 .316 .721 .997 .833 .420 .092 .001 .010 .035 .195 .600 1.000 .955 .531 .146 .003 .004 .000 .069 .385 .819 .896 .545 .180 .024 .033 .017 .010 .212 .595 .746 .496 .187 .045 .041 .039 .000 .109 .412 .591 .440 .186 .052 .024 .049 .011 .038 .250 .421 .358 .167 .041 446 .188 5046 -.125 12.95036 .084239 2.204151 -.360969 Correlation Surface at 546 5046 .041 .015 .017 .238 .280 .067 .013 .084 .066 .008 .022 .000 .203 .424 .080 .013 .042 .018 .014 .035 .014 .189 .470 .046 .009 .014 .028 .077 .103 .024 .321 .712 .040 .032 .021 .042 .064 .099 .005 .423 1.000 .091 .045 .068 .056 .028 .020 .035 .398 .847 .188 .000 .050 .100 .038 .018 .150 .452 .547 .214 .007 .018 .095 .021 .071 .041 .381 .447 .192 .003 .006 .025 .007 .062 .001 .199 .383 .132 .009 .001 .001 r_peak,r_snr = .1502332 14.74816 Correlation Surface of oversamples image at 546 5046 .061 .001 .075 .295 .420 .301 .101 .009 .001 .061 .000 .151 .466 .581 .370 .106 .007 .002 .048 .009 .268 .694 .781 .449 .105 .001 .011 .029 .028 .374 .883 .944 .515 .108 .000 .032 .009 .052 .421 .938 1.000 .552 .123 .000 .038 .000 .086 .413 .852 .934 .552 .151 .004 .018 .022 .135 .389 .706 .796 .523 .181 .021 .001 .066 .193 .380 .581 .652 .473 .198 .041 .002 .093 .230 .380 .502 .535 .413 .198 .052 .004 546 -.219 5046 -.063 14.74816 .006370 .083313 -.003984 Correlation Surface at 646 5046 .091 .158 .305 .566 .751 .633 .350 .249 .216 .013 .056 .231 .552 .874 .684 .339 .199 .160 .025 .069 .195 .433 .889 .794 .496 .241 .116 .130 .243 .360 .517 .898 .767 .657 .398 .114 .167 .263 .364 .663 1.000 .663 .507 .469 .153 .120 .192 .183 .409 .771 .518 .276 .339 .199 .105 .177 .186 .196 .341 .351 .167 .134 .124 .158 .167 .301 .285 .250 .341 .217 .067 .036 .255 .169 .283 .409 .368 .328 .248 .104 .055 r_peak,r_snr = .2210554 6.26485 Correlation Surface of oversamples image at 646 5046 .240 .410 .595 .716 .720 .650 .548 .422 .297 .249 .420 .620 .786 .834 .766 .648 .507 .358 .279 .437 .637 .836 .935 .892 .776 .632 .461 .354 .490 .671 .864 .989 .975 .881 .757 .584 .466 .591 .750 .901 1.000 .994 .924 .833 .683 .547 .695 .858 .960 .986 .943 .878 .821 .718 .524 .719 .920 .999 .942 .829 .743 .708 .666 .406 .617 .858 .951 .853 .683 .566 .536 .544 .269 .434 .658 .775 .705 .537 .408 .372 .399 646 .688 5046 -8.938 6.26485 .015896 .060664 .004288 Correlation Surface at 746 5046 .073 .104 .335 .197 .044 .002 .028 .007 .003 .099 .174 .713 .339 .134 .075 .083 .088 .001 .043 .072 .510 .401 .325 .188 .154 .197 .092 .004 .029 .146 .362 .715 .161 .010 .001 .185 .001 .016 .024 .252 1.000 .282 .163 .281 .008 .085 .053 .001 .021 .374 .158 .065 .307 .067 .275 .198 .010 .030 .002 .001 .020 .088 .066 .093 .204 .052 .005 .000 .035 .006 .007 .003 .008 .087 .067 .022 .044 .297 .249 .064 .051 r_peak,r_snr = 9.38206E-02 12.07355 Correlation Surface of oversamples image at 746 5046 .238 .242 .179 .117 .074 .052 .037 .036 .068 .176 .222 .240 .257 .231 .160 .076 .027 .021 .127 .204 .310 .453 .500 .368 .150 .019 .000 .081 .168 .350 .638 .826 .662 .269 .019 .023 .039 .103 .303 .679 1.000 .872 .366 .019 .065 .009 .031 .167 .506 .848 .784 .330 .011 .100 .000 .000 .029 .209 .452 .434 .159 .000 .123 .004 .024 .007 .018 .112 .123 .027 .013 .124 .006 .048 .065 .018 .001 .009 .000 .028 .087 746 -4.844 5046 10.063 12.07356 .018340 .050049 -.008436 Correlation Surface at 846 5046 .094 .137 .233 .323 .382 .140 .055 .041 .001 .182 .163 .205 .239 .369 .237 .096 .024 .000 .192 .135 .211 .308 .470 .278 .055 .002 .047 .082 .030 .167 .548 .857 .495 .053 .007 .060 .016 .010 .027 .417 1.000 .708 .113 .003 .006 .043 .007 .004 .193 .781 .608 .137 .026 .001 .088 .008 .045 .220 .768 .573 .155 .070 .030 .058 .020 .077 .276 .781 .607 .192 .081 .056 .082 .027 .048 .256 .558 .360 .137 .054 .033 r_peak,r_snr = .181605 11.28111 Correlation Surface of oversamples image at 846 5046 .054 .217 .510 .828 .922 .667 .294 .083 .018 .037 .171 .453 .771 .854 .594 .246 .067 .015 .052 .182 .460 .768 .820 .539 .209 .054 .014 .097 .239 .534 .850 .886 .573 .225 .066 .025 .146 .295 .609 .950 1.000 .680 .302 .112 .053 .142 .285 .582 .917 .988 .718 .371 .166 .086 .105 .238 .487 .759 .816 .617 .362 .193 .110 846 .313 5046 1.719 11.28111 .018905 .097874 -.023125 Correlation Surface at 946 5046 .003 .006 .026 .141 .459 .397 .288 .149 .033 .001 .014 .077 .258 .574 .470 .304 .155 .041 .001 .015 .109 .383 .713 .507 .217 .091 .040 .006 .043 .149 .509 .917 .535 .138 .048 .019 .001 .057 .245 .615 1.000 .588 .173 .087 .017 .002 .021 .214 .546 .717 .546 .303 .167 .026 .006 .000 .068 .360 .426 .396 .374 .192 .013 .007 .000 .028 .235 .317 .304 .300 .183 .009 .004 .010 .084 .311 .426 .340 .246 .171 .039 r_peak,r_snr = .1979067 11.70335 Correlation Surface of oversamples image at 946 5046 .049 .139 .310 .531 .700 .726 .657 .573 .484 .054 .175 .394 .643 .788 .749 .618 .499 .396 .058 .205 .478 .771 .889 .770 .568 .411 .299 .076 .238 .545 .875 .971 .782 .522 .345 .239 .119 .282 .585 .913 1.000 .779 .495 .317 .229 .176 .321 .578 .856 .941 .755 .496 .326 .251 .209 .335 .527 .733 .818 .711 .517 .367 .291 .182 .306 .450 .591 .676 .653 .546 .426 .336 .112 .238 .360 .461 .547 .590 .565 .486 .381 946 .375 5046 -.594 11.70335 .014372 .062604 .000856 Correlation Surface at 1046 5046 .120 .001 .006 .031 .286 .138 .015 .007 .003 .041 .000 .002 .034 .279 .114 .012 .007 .000 .013 .008 .042 .032 .372 .122 .002 .018 .036 .009 .019 .132 .048 .779 .271 .005 .090 .079 .001 .015 .107 .078 1.000 .310 .012 .096 .041 .006 .006 .014 .101 .706 .153 .066 .151 .031 .016 .007 .000 .120 .480 .108 .051 .154 .049 .004 .001 .001 .102 .429 .201 .003 .084 .066 .002 .001 .000 .065 .349 .172 .001 .051 .061 r_peak,r_snr = .1784583 28.49951 Correlation Surface of oversamples image at 1046 5046 .021 .000 .043 .187 .316 .277 .133 .040 .013 .087 .012 .039 .235 .394 .333 .151 .033 .001 .165 .038 .039 .334 .581 .487 .221 .045 .000 .192 .055 .045 .457 .831 .703 .319 .064 .000 .155 .047 .054 .532 1.000 .856 .377 .067 .001 .094 .027 .059 .518 .981 .841 .348 .045 .007 .048 .010 .059 .439 .821 .696 .262 .017 .027 .021 .001 .061 .356 .641 .533 .183 .003 .055 .008 .000 .068 .305 .521 .430 .144 .001 .063 1046 .125 5046 -.281 28.49952 .003982 .042653 .002489 Correlation Surface at 1146 5046 .027 .203 .026 .187 .772 .317 .015 .011 .000 .003 .039 .035 .068 .509 .051 .015 .005 .000 .000 .012 .001 .111 .642 .028 .040 .010 .012 .006 .002 .002 .160 .927 .124 .053 .004 .000 .024 .015 .007 .084 1.000 .332 .042 .061 .017 .006 .021 .009 .072 .937 .480 .009 .064 .011 .007 .017 .003 .177 .859 .392 .010 .066 .008 .067 .019 .033 .331 .759 .299 .000 .009 .005 .078 .011 .001 .157 .472 .168 .003 .026 .001 r_peak,r_snr = .1083907 15.13252 Correlation Surface of oversamples image at 1146 5046 .007 .179 .652 .911 .570 .137 .000 .077 .157 .011 .061 .488 .897 .704 .250 .012 .044 .150 .056 .013 .360 .867 .818 .361 .040 .023 .136 .063 .007 .314 .873 .931 .467 .076 .008 .109 .023 .024 .341 .891 1.000 .552 .126 .000 .060 .000 .075 .394 .845 .940 .561 .174 .015 .011 .005 .113 .385 .686 .720 .449 .174 .046 .003 .003 .104 .334 .526 .517 .326 .146 .071 .036 1146 .313 5046 3.938 15.13253 .041358 2.640675 -.288190 Correlation Surface at 1246 5046 .002 .010 .064 .129 .233 .211 .141 .036 .133 .004 .000 .007 .205 .633 .232 .013 .046 .000 .004 .011 .034 .144 .687 .087 .096 .004 .109 .001 .064 .047 .189 .793 .094 .050 .035 .196 .008 .074 .001 .437 1.000 .152 .002 .158 .211 .095 .017 .000 .404 .816 .092 .003 .018 .007 .148 .009 .005 .201 .521 .087 .013 .009 .043 .082 .062 .107 .137 .649 .215 .006 .003 .000 .061 .023 .130 .069 .509 .260 .001 .031 .027 r_peak,r_snr = 9.64662E-02 13.3786 Correlation Surface of oversamples image at 1246 5046 .224 .125 .001 .210 .449 .296 .035 .026 .088 .243 .121 .005 .273 .505 .289 .024 .036 .099 .164 .051 .039 .417 .658 .373 .052 .008 .034 .084 .007 .115 .608 .864 .498 .105 .002 .000 .040 .000 .179 .727 1.000 .583 .140 .014 .011 .017 .004 .187 .698 .984 .599 .149 .017 .015 .008 .007 .149 .547 .824 .551 .155 .020 .013 .010 .003 .093 .372 .617 .470 .162 .029 .013 .034 .001 .050 .262 .481 .416 .184 .047 .016 1246 -.063 5046 .188 13.37860 .017839 .280789 .017949 Correlation Surface at 1346 5046 .014 .048 .000 .133 .575 .153 .023 .088 .355 .001 .013 .004 .172 .695 .069 .001 .080 .438 .009 .034 .061 .162 .798 .088 .003 .012 .239 .009 .076 .061 .226 .906 .190 .003 .004 .035 .019 .027 .017 .279 1.000 .339 .041 .002 .000 .194 .003 .005 .232 .900 .404 .051 .008 .009 .566 .215 .013 .198 .630 .302 .034 .033 .050 .341 .394 .120 .144 .368 .256 .086 .001 .021 .001 .096 .163 .267 .458 .295 .093 .063 .012 r_peak,r_snr = .1062901 7.61303 Correlation Surface of oversamples image at 1346 5046 .005 .000 .029 .206 .533 .658 .391 .108 .014 .011 .001 .070 .317 .660 .745 .448 .146 .034 .007 .008 .137 .461 .809 .832 .501 .190 .065 .002 .024 .207 .591 .947 .928 .566 .243 .105 .000 .034 .232 .633 1.000 .983 .625 .296 .140 .001 .033 .207 .577 .943 .963 .657 .343 .171 .010 .033 .169 .475 .802 .870 .648 .379 .200 .049 .048 .145 .369 .612 .697 .571 .379 .220 .136 .086 .140 .281 .430 .499 .452 .344 .230 1346 -.281 5046 1.031 7.61303 .018948 .965360 -.057796 Correlation Surface at 1446 5046 .032 .007 .029 .008 .177 .134 .037 .004 .053 .030 .049 .002 .021 .245 .187 .048 .001 .053 .003 .036 .037 .112 .368 .187 .015 .016 .027 .077 .000 .072 .389 .765 .263 .001 .039 .000 .019 .000 .022 .484 1.000 .247 .000 .017 .016 .008 .001 .004 .113 .470 .130 .001 .009 .010 .012 .000 .022 .000 .109 .077 .018 .013 .014 .012 .003 .018 .002 .087 .129 .094 .001 .069 .049 .019 .007 .001 .099 .140 .064 .011 .072 r_peak,r_snr = .1235328 20.69931 Correlation Surface of oversamples image at 1446 5046 .003 .000 .028 .246 .601 .638 .387 .157 .040 .020 .027 .102 .380 .751 .741 .398 .112 .010 .027 .071 .215 .556 .887 .786 .382 .077 .000 .016 .092 .334 .751 .990 .753 .326 .052 .001 .001 .071 .379 .857 1.000 .661 .256 .040 .001 .006 .021 .287 .756 .860 .538 .212 .050 .004 .039 .002 .108 .456 .581 .382 .181 .076 .031 .083 .059 .004 .161 .291 .228 .144 .102 .072 .096 .124 .018 .031 .129 .144 .127 .126 .117 1446 -.094 5046 .875 20.69932 .013842 .039982 -.002390 Correlation Surface at 1546 5046 .107 .348 .067 .074 .001 .081 .031 .006 .283 .198 .299 .123 .052 .106 .022 .026 .000 .178 .572 .280 .061 .188 .307 .063 .004 .086 .053 .610 .160 .001 .618 .902 .032 .125 .186 .264 .213 .061 .024 .727 1.000 .003 .282 .262 .257 .012 .000 .053 .276 .340 .002 .183 .395 .390 .002 .077 .121 .042 .015 .017 .022 .274 .441 .013 .267 .366 .083 .001 .005 .003 .037 .092 .057 .166 .303 .276 .079 .049 .001 .008 .003 r_peak,r_snr = 7.58741E-02 6.85571 Correlation Surface of oversamples image at 1546 5046 .126 .077 .004 .213 .440 .400 .270 .196 .157 .074 .046 .015 .295 .560 .425 .176 .051 .011 .029 .013 .050 .438 .776 .547 .151 .002 .031 .011 .000 .101 .574 .969 .703 .183 .001 .125 .007 .001 .135 .608 1.000 .774 .233 .000 .157 .005 .002 .118 .493 .825 .698 .256 .003 .122 .003 .000 .058 .270 .498 .478 .218 .010 .079 .001 .001 .015 .083 .187 .221 .135 .016 .039 .029 .009 .004 .009 .027 .050 .050 .014 .012 1546 -6.438 5046 7.844 6.85571 .020791 .096113 -.003885 Correlation Surface at 1646 5046 .033 .055 .016 .407 .290 .018 .010 .103 .002 .109 .050 .011 .437 .271 .060 .004 .016 .010 .061 .057 .014 .689 .384 .037 .011 .000 .009 .010 .046 .008 .951 .807 .056 .004 .003 .002 .033 .067 .018 .895 1.000 .203 .011 .001 .000 .035 .100 .053 .830 .658 .133 .001 .001 .005 .000 .016 .081 .656 .367 .027 .023 .003 .005 .005 .000 .053 .469 .449 .089 .016 .005 .001 .020 .018 .012 .272 .582 .317 .014 .003 .008 r_peak,r_snr = .1067115 10.66206 Correlation Surface of oversamples image at 1646 5046 .007 .021 .191 .434 .433 .216 .069 .028 .027 .011 .021 .233 .574 .617 .315 .075 .010 .005 .020 .016 .262 .706 .820 .464 .125 .015 .002 .028 .015 .287 .801 .972 .604 .205 .044 .011 .030 .021 .319 .837 1.000 .651 .263 .090 .037 .029 .030 .344 .806 .899 .567 .241 .104 .056 .022 .039 .340 .721 .742 .426 .165 .071 .042 .011 .043 .303 .603 .592 .315 .104 .034 .016 .004 .037 .237 .474 .473 .255 .080 .018 .003 1646 .375 5046 -2.156 10.66206 .031609 .119205 -.013351 Correlation Surface at 1746 5046 .001 .089 .016 .007 .114 .093 .358 .364 .009 .013 .154 .000 .000 .223 .286 .446 .364 .041 .125 .125 .015 .118 .604 .351 .213 .176 .018 .072 .055 .041 .376 .897 .315 .150 .109 .002 .026 .035 .059 .332 1.000 .308 .173 .105 .004 .034 .060 .150 .286 .738 .208 .057 .070 .005 .003 .020 .269 .333 .319 .050 .000 .029 .087 .010 .002 .095 .219 .198 .016 .012 .005 .245 .018 .015 .010 .038 .175 .043 .005 .000 .052 r_peak,r_snr = 8.85223E-02 9.81739 Correlation Surface of oversamples image at 1746 5046 .025 .039 .000 .070 .205 .236 .202 .225 .339 .011 .005 .029 .214 .410 .407 .302 .248 .274 .003 .005 .146 .481 .694 .584 .381 .265 .227 .000 .044 .313 .756 .921 .684 .410 .277 .215 .006 .098 .437 .904 1.000 .680 .387 .275 .221 .017 .125 .460 .918 .997 .645 .347 .250 .219 .026 .118 .402 .854 .984 .643 .325 .210 .184 .055 .118 .327 .723 .910 .636 .314 .162 .115 .129 .151 .262 .517 .687 .517 .256 .106 .049 1746 9.813 5046 -7.719 9.81739 .022985 .370555 .003380 Correlation Surface at 1846 5046 .002 .017 .001 .063 .391 .425 .018 .050 .000 .068 .000 .001 .024 .227 .136 .006 .040 .012 .223 .130 .043 .011 .400 .179 .007 .035 .007 .136 .287 .116 .027 .986 .525 .026 .000 .004 .039 .132 .083 .007 1.000 .484 .040 .033 .002 .055 .062 .071 .007 .584 .309 .002 .026 .006 .042 .066 .188 .042 .443 .645 .082 .027 .013 .005 .060 .233 .035 .428 .819 .303 .091 .030 .001 .122 .206 .000 .601 .548 .052 .016 .091 r_peak,r_snr = 9.17327E-02 9.31604 Correlation Surface of oversamples image at 1846 5046 .010 .000 .020 .129 .261 .283 .155 .026 .003 .021 .000 .051 .237 .390 .344 .165 .028 .002 .041 .000 .093 .405 .628 .513 .245 .061 .003 .072 .000 .111 .542 .875 .720 .366 .130 .040 .092 .004 .097 .576 1.000 .840 .434 .185 .098 .086 .009 .066 .519 .979 .832 .409 .171 .111 .057 .011 .040 .421 .891 .805 .387 .144 .086 .029 .008 .025 .328 .799 .841 .466 .175 .080 .019 .005 .017 .258 .722 .918 .657 .312 .130 1846 .125 5046 .719 9.31604 .012090 .223381 -.004222 Correlation Surface at 1946 5046 .137 .051 .001 .001 .312 .200 .018 .095 .068 .158 .243 .067 .126 .929 .712 .273 .005 .002 .159 1.036 .798 .036 .887 .457 .353 .131 .036 .161 1.413 1.327 .007 .727 .088 .035 .108 .018 .188 .796 1.285 .057 1.000 .030 .003 .087 .071 .267 .170 .718 .002 .953 .108 .000 .141 .359 .652 .073 .322 .067 .414 .136 .000 .100 .147 .681 .134 .220 .008 .243 .016 .108 .001 .034 .346 .158 .249 .038 .370 .000 .474 .004 .003 r_peak,r_snr = 6.28850E-02 5.05416 Correlation Surface of oversamples image at 1946 5046 .328 .007 .163 .611 .947 .892 .617 .454 .386 .505 .023 .164 .594 .807 .666 .405 .303 .329 .590 .029 .211 .691 .774 .469 .191 .124 .200 .636 .043 .247 .853 .886 .405 .081 .028 .086 .669 .094 .184 .886 1.000 .439 .055 .003 .028 .662 .214 .047 .612 .868 .443 .059 .000 .008 .601 .389 .007 .220 .505 .333 .054 .000 .001 .449 .476 .105 .027 .211 .191 .031 .003 .002 .270 .389 .157 .000 .084 .093 .006 .024 .033 1946 -.188 5046 .969 5.05416 .015448 .971204 -.010935 Correlation Surface at 2046 5046 .149 .094 .770 .111 .023 .274 .005 .454 .639 .090 .004 .188 .137 .229 .420 .010 .242 .459 .020 .002 .026 .271 .432 .279 .002 .121 .238 .008 .000 .018 .580 .821 .141 .009 .122 .113 .019 .005 .019 .525 1.000 .145 .043 .143 .020 .054 .052 .000 .273 .609 .130 .020 .108 .000 .108 .049 .003 .232 .542 .215 .006 .174 .072 .198 .017 .016 .322 .523 .205 .020 .557 .576 .494 .177 .000 .250 .415 .046 .099 .608 .694 r_peak,r_snr = 6.73430E-02 6.03951 Correlation Surface of oversamples image at 2046 5046 .236 .362 .335 .315 .395 .491 .334 .063 .011 .086 .233 .367 .497 .638 .674 .399 .068 .008 .027 .153 .397 .671 .838 .763 .398 .069 .003 .010 .107 .404 .795 .962 .757 .329 .049 .001 .011 .085 .366 .821 1.000 .695 .238 .020 .004 .038 .096 .322 .752 .973 .654 .184 .006 .011 .114 .155 .313 .648 .882 .633 .178 .004 .014 .201 .246 .337 .557 .755 .592 .194 .010 .009 .222 .311 .383 .520 .667 .572 .244 .032 .002 2046 .938 5046 -8.938 6.03951 .038468 .266737 -.022010 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .012 .000 .125 .217 .367 .186 .156 .057 .046 .019 .000 .146 .420 .609 .197 .110 .091 .075 .031 .002 .068 .475 .778 .234 .043 .056 .044 .041 .013 .044 .535 .888 .258 .032 .005 .001 .035 .002 .124 .788 1.000 .209 .037 .009 .009 .028 .000 .189 .852 .762 .135 .037 .014 .005 .006 .002 .076 .467 .404 .173 .102 .015 .005 .003 .004 .030 .313 .471 .439 .330 .085 .000 .000 .000 .070 .390 .826 .679 .265 .081 .004 r_peak,r_snr = .144175 10.49632 Correlation Surface of oversamples image at 146 5446 .340 1.034 1.672 1.734 1.273 .836 .652 .615 .535 .197 .697 1.244 1.457 1.307 1.103 1.075 1.148 1.053 .143 .586 1.207 1.712 1.893 1.794 1.679 1.627 1.426 .217 .743 1.561 2.470 3.036 2.936 2.403 1.837 1.351 146 .188 5446 4.844 10.49632 .018267 .161022 .025240 Correlation Surface at 246 5446 .002 .063 .048 .010 .020 .031 .086 .157 .006 .016 .051 .082 .023 .031 .136 .034 .378 .089 .071 .106 .284 .072 .000 .124 .010 .129 .067 .008 .105 .741 .744 .205 .070 .014 .017 .010 .004 .025 .410 .911 1.000 .453 .070 .000 .017 .058 .052 .030 .089 .363 .502 .228 .029 .005 .050 .020 .006 .015 .004 .014 .066 .076 .173 .097 .052 .017 .004 .036 .016 .005 .011 .247 .296 .038 .032 .000 .003 .008 .002 .001 .084 r_peak,r_snr = 8.28171E-02 12.95663 Correlation Surface of oversamples image at 246 5446 .308 .367 .290 .154 .074 .071 .140 .205 .124 .453 .595 .523 .319 .155 .085 .090 .116 .081 .500 .756 .794 .633 .416 .239 .139 .082 .037 .389 .689 .887 .919 .810 .591 .343 .135 .030 .201 .402 .659 .886 1.000 .923 .663 .306 .073 .073 .134 .291 .527 .748 .870 .826 .536 .193 .021 .019 .058 .160 .296 .457 .619 .591 .319 .004 .000 .001 .011 .035 .097 .243 .375 .298 .000 .001 .001 .002 .003 .000 .035 .132 .159 246 -9.438 5446 -8.000 12.95663 .189857 .043445 -.064560 Correlation Surface at 346 5446 .077 .125 .015 .040 .153 .249 .145 .070 .023 .070 .112 .030 .074 .307 .156 .072 .089 .069 .022 .032 .000 .313 .589 .169 .050 .078 .054 .038 .058 .013 .692 .837 .249 .046 .019 .001 .173 .209 .006 .795 1.000 .231 .062 .022 .009 .116 .233 .000 .365 .616 .082 .016 .051 .079 .009 .020 .006 .112 .198 .009 .018 .036 .079 .003 .035 .043 .068 .170 .022 .032 .020 .088 .026 .033 .035 .096 .337 .147 .002 .031 .090 r_peak,r_snr = .1174782 13.50199 Correlation Surface of oversamples image at 346 5446 .001 .017 .074 .199 .359 .434 .344 .183 .078 .000 .019 .118 .329 .545 .583 .418 .214 .093 .004 .012 .151 .464 .757 .758 .503 .254 .123 .020 .006 .167 .566 .946 .930 .590 .294 .155 .043 .001 .153 .570 1.000 .999 .618 .294 .151 .056 .000 .109 .454 .842 .865 .527 .223 .093 .043 .000 .063 .286 .549 .567 .333 .111 .024 .015 .000 .033 .150 .280 .271 .142 .028 .000 .000 .003 .021 .075 .127 .107 .045 .002 .017 346 -.250 5446 -.063 13.50199 .023287 .088715 -.000777 Correlation Surface at 446 5446 .011 .014 .024 .094 .115 .033 .057 .046 .002 .047 .093 .122 .273 .217 .064 .011 .005 .000 .037 .109 .186 .603 .516 .154 .021 .000 .004 .028 .053 .090 .640 .900 .294 .094 .017 .004 .014 .018 .059 .553 1.000 .455 .153 .075 .019 .005 .000 .042 .437 .674 .325 .110 .075 .010 .027 .006 .028 .209 .308 .149 .051 .023 .001 .016 .068 .049 .131 .251 .121 .021 .001 .000 .006 .030 .038 .142 .340 .141 .006 .000 .008 r_peak,r_snr = .1444874 15.95696 Correlation Surface of oversamples image at 446 5446 .082 .122 .240 .437 .533 .387 .181 .073 .030 .030 .073 .208 .466 .652 .527 .245 .084 .039 .004 .040 .195 .529 .821 .736 .367 .114 .043 .000 .026 .199 .597 .969 .914 .485 .146 .039 .007 .019 .203 .620 1.000 .946 .514 .154 .030 .019 .012 .190 .572 .888 .813 .440 .135 .022 .025 .006 .150 .455 .685 .604 .324 .108 .021 .015 .003 .097 .309 .472 .414 .224 .083 .023 .002 .002 .053 .194 .324 .300 .168 .065 .021 446 -.313 5446 .344 15.95697 .018440 .096013 -.009214 Correlation Surface at 546 5446 .100 .142 .124 .160 .157 .000 .057 .169 .226 .177 .046 .000 .094 .395 .364 .036 .009 .017 .406 .869 .032 .009 .000 .175 1.000 .013 .011 .002 .030 .478 .004 .188 .111 .045 .201 .006 .137 .187 .113 .118 .000 .012 .048 .038 .030 r_peak,r_snr = .125274 15.44361 Correlation Surface of oversamples image at 546 5446 .088 .186 .277 .312 .282 .217 .138 .057 .011 .081 .209 .355 .433 .399 .299 .191 .093 .029 .061 .222 .456 .626 .608 .453 .283 .155 .075 .030 .194 .513 .808 .860 .664 .414 .237 .140 .005 .119 .450 .845 1.000 .822 .520 .300 .191 .000 .043 .290 .680 .892 .775 .500 .286 .187 .001 .011 .144 .427 .606 .537 .342 .188 .121 .003 .008 .073 .237 .343 .286 .160 .073 .040 .042 .033 .068 .156 .207 .145 .056 .011 .001 546 14.469 5446 -10.969 15.44361 .020385 .057355 -.013495 Correlation Surface at 646 5446 .350 .259 .294 .471 .503 .269 .274 .392 .328 .290 .254 .254 .410 .690 .447 .255 .282 .271 .240 .275 .334 .417 .820 .722 .393 .328 .315 .161 .222 .374 .571 .933 .799 .470 .395 .427 .143 .185 .267 .566 1.000 .843 .539 .513 .596 .139 .182 .202 .435 .948 .915 .706 .678 .650 .083 .119 .212 .501 .910 .841 .682 .692 .574 .078 .171 .312 .587 .823 .671 .483 .525 .465 .166 .357 .434 .473 .577 .539 .428 .381 .326 r_peak,r_snr = .215552 3.54581 Correlation Surface of oversamples image at 646 5446 .341 .407 .577 .742 .764 .674 .566 .465 .380 .394 .464 .629 .785 .810 .735 .639 .537 .440 .419 .524 .705 .864 .879 .789 .681 .571 .472 .385 .531 .749 .935 .956 .852 .721 .602 .508 .308 .471 .722 .948 1.000 .912 .784 .663 .575 .243 .396 .648 .893 .982 .938 .851 .751 .665 .230 .375 .603 .826 .923 .914 .883 .826 .744 .276 .431 .631 .805 .872 .862 .859 .844 .781 .362 .537 .710 .828 .844 .803 .789 .796 .761 646 .375 5446 1.031 3.54581 .030789 .553767 -.077060 Correlation Surface at 746 5446 .120 .249 .330 .397 .380 .066 .063 .215 .241 .103 .090 .161 .422 .600 .135 .029 .172 .302 .047 .031 .116 .575 .822 .242 .058 .095 .172 .013 .053 .248 .817 .950 .345 .209 .145 .148 .011 .097 .296 .837 1.000 .475 .352 .189 .163 .022 .152 .292 .634 .762 .443 .295 .108 .102 .099 .243 .438 .637 .481 .283 .215 .111 .128 .180 .192 .420 .782 .438 .257 .236 .256 .333 .090 .092 .216 .615 .486 .305 .212 .283 .487 r_peak,r_snr = .1669644 6.03866 Correlation Surface of oversamples image at 746 5446 .042 .086 .204 .400 .594 .617 .441 .208 .066 .109 .181 .325 .526 .672 .639 .460 .252 .114 .206 .306 .471 .679 .782 .674 .468 .288 .182 .296 .414 .600 .831 .919 .751 .492 .317 .250 .350 .470 .661 .908 1.000 .813 .519 .333 .290 .370 .473 .638 .858 .943 .780 .509 .329 .291 .359 .438 .555 .703 .756 .636 .435 .290 .253 .334 .391 .466 .538 .540 .454 .332 .235 .206 .316 .366 .425 .447 .400 .322 .253 .202 .189 746 .406 5446 -1.938 6.03866 .029132 .158595 -.024787 Correlation Surface at 846 5446 .020 .015 .029 .207 .596 .492 .131 .007 .014 .050 .011 .001 .229 1.000 .893 .252 .039 .002 .015 .000 .032 .050 .571 .613 .221 .059 .003 .007 .006 .006 .019 .257 .190 .069 .041 .010 .010 .050 .031 .042 .198 .103 .022 .023 .033 .007 .008 .027 .028 .175 .150 .044 .005 .010 r_peak,r_snr = .1334976 16.72484 Correlation Surface of oversamples image at 846 5446 .001 .006 .032 .086 .135 .135 .118 .116 .108 .027 .066 .148 .252 .313 .264 .165 .093 .048 .080 .190 .374 .546 .593 .447 .233 .092 .030 .103 .289 .596 .853 .869 .618 .298 .104 .033 .069 .266 .644 .983 1.000 .694 .331 .118 .046 .021 .161 .505 .877 .948 .670 .327 .128 .060 .001 .075 .329 .652 .763 .568 .289 .124 .067 .000 .042 .228 .474 .561 .419 .216 .096 .055 .002 .047 .210 .401 .435 .296 .140 .058 .031 846 -.719 5446 -13.938 16.72484 .022257 .031376 -.006850 Correlation Surface at 946 5446 .002 .061 .139 .243 .373 .124 .009 .000 .000 .003 .065 .215 .295 .387 .207 .048 .000 .006 .014 .004 .188 .449 .543 .310 .089 .005 .005 .003 .000 .106 .578 .858 .384 .063 .020 .002 .002 .008 .118 .611 1.000 .325 .018 .009 .004 .001 .014 .126 .542 .912 .271 .002 .003 .003 .017 .000 .077 .397 .813 .305 .000 .020 .019 .059 .014 .079 .409 .774 .347 .004 .022 .012 .039 .001 .167 .538 .816 .370 .037 .002 .007 r_peak,r_snr = .2038642 12.29793 Correlation Surface of oversamples image at 946 5446 .129 .325 .511 .616 .612 .498 .331 .195 .113 .104 .323 .591 .768 .771 .597 .353 .169 .082 .096 .315 .635 .881 .898 .665 .349 .134 .051 .105 .312 .649 .944 .973 .688 .317 .096 .026 .115 .304 .629 .952 1.000 .689 .286 .067 .010 .109 .275 .571 .907 .996 .699 .283 .055 .003 .090 .235 .493 .827 .972 .723 .308 .058 .001 .076 .209 .433 .741 .932 .749 .344 .070 .001 .079 .218 .416 .684 .886 .753 .366 .078 .000 946 -.188 5446 -3.375 12.29794 .007539 .149305 .005010 Correlation Surface at 1046 5446 .010 .021 .000 .012 .033 .025 .087 .001 .001 .004 .026 .001 .054 .179 .003 .143 .020 .000 .016 .029 .001 .083 .390 .035 .085 .026 .001 .080 .093 .000 .181 .718 .166 .014 .003 .007 .086 .161 .008 .213 1.000 .285 .001 .002 .006 .017 .130 .046 .090 .790 .295 .000 .013 .012 .008 .044 .017 .058 .592 .271 .005 .009 .046 .028 .002 .032 .204 .591 .254 .017 .005 .010 .006 .001 .092 .322 .443 .114 .044 .106 .042 r_peak,r_snr = .1276621 20.24803 Correlation Surface of oversamples image at 1046 5446 .001 .009 .056 .166 .271 .202 .051 .000 .030 .000 .021 .106 .296 .462 .353 .116 .007 .008 .000 .039 .179 .472 .702 .531 .191 .025 .000 .000 .048 .239 .626 .910 .681 .247 .037 .000 .001 .041 .246 .679 1.000 .752 .268 .038 .001 .006 .022 .194 .594 .923 .717 .257 .035 .001 .016 .005 .116 .421 .718 .595 .222 .033 .003 .016 .001 .061 .267 .511 .465 .192 .036 .007 .003 .002 .049 .202 .405 .402 .193 .049 .014 1046 .031 5446 .031 20.24804 .009558 .097661 -.007775 Correlation Surface at 1146 5446 .095 .004 .028 .107 .448 .061 .044 .095 .008 .144 .004 .009 .045 .228 .028 .022 .047 .000 .014 .001 .002 .059 .300 .061 .004 .017 .004 .008 .054 .042 .197 .696 .232 .002 .009 .000 .002 .103 .117 .349 1.000 .317 .000 .002 .004 .001 .072 .099 .328 .831 .145 .001 .001 .001 .083 .120 .086 .255 .494 .026 .035 .016 .000 .158 .296 .207 .277 .319 .003 .101 .106 .035 .040 .299 .329 .326 .262 .001 .179 .314 .274 r_peak,r_snr = .1270738 13.49646 Correlation Surface of oversamples image at 1146 5446 .125 .131 .167 .280 .366 .281 .105 .007 .014 .136 .171 .254 .448 .595 .468 .195 .027 .005 .159 .227 .368 .635 .806 .617 .269 .054 .000 .188 .290 .490 .812 .954 .677 .290 .073 .004 .196 .323 .566 .912 1.000 .640 .249 .066 .009 .175 .299 .545 .878 .919 .527 .164 .032 .005 .141 .245 .452 .737 .750 .383 .081 .004 .000 .115 .199 .361 .587 .587 .269 .033 .002 .011 .112 .182 .309 .484 .478 .204 .013 .014 .035 1146 -.156 5446 .531 13.49646 .012734 .105731 .009004 Correlation Surface at 1246 5446 .022 .062 .010 .009 .011 .026 .039 .067 .018 .008 .119 .038 .046 .080 .043 .039 .048 .000 .000 .116 .092 .101 .370 .101 .013 .015 .058 .004 .092 .104 .114 .905 .358 .000 .000 .134 .004 .038 .039 .137 1.000 .495 .001 .007 .083 .001 .000 .014 .260 .727 .293 .007 .053 .017 .006 .002 .068 .339 .408 .104 .006 .091 .004 .020 .000 .023 .208 .164 .016 .003 .040 .028 .004 .000 .002 .044 .021 .000 .002 .000 .015 r_peak,r_snr = .1354522 21.38405 Correlation Surface of oversamples image at 1246 5446 .103 .009 .016 .065 .085 .081 .066 .044 .022 .129 .011 .041 .187 .254 .199 .109 .046 .010 .150 .016 .061 .334 .510 .396 .177 .045 .002 .153 .019 .080 .479 .805 .658 .280 .054 .000 .124 .012 .102 .580 1.000 .842 .358 .060 .000 .057 .001 .130 .595 .980 .807 .330 .045 .003 .004 .010 .180 .572 .836 .637 .227 .016 .017 .016 .074 .272 .583 .724 .492 .137 .000 .054 .067 .169 .381 .631 .685 .425 .094 .003 .099 1246 .125 5446 -.313 21.38405 .009956 .151109 .011108 Correlation Surface at 1346 5446 .002 .004 .088 .097 .045 .009 .007 .058 .054 .015 .040 .014 .164 .114 .012 .025 .063 .042 .023 .151 .005 .383 .378 .096 .015 .038 .020 .019 .242 .031 .646 .871 .393 .042 .037 .009 .000 .149 .042 .521 1.000 .436 .046 .037 .019 .029 .024 .003 .349 .720 .357 .039 .057 .068 .070 .003 .020 .296 .340 .216 .054 .027 .003 .119 .001 .026 .211 .150 .041 .009 .001 .039 .050 .001 .004 .085 .144 .020 .002 .000 .025 r_peak,r_snr = .1081724 17.19018 Correlation Surface of oversamples image at 1346 5446 .199 .050 .025 .237 .359 .267 .133 .048 .015 .267 .065 .037 .362 .590 .500 .319 .179 .087 .286 .065 .055 .488 .830 .761 .546 .351 .188 .243 .055 .065 .556 .984 .946 .699 .444 .227 .144 .028 .077 .559 1.000 .984 .715 .404 .166 .040 .001 .115 .550 .926 .917 .653 .323 .096 .000 .017 .182 .541 .801 .781 .563 .271 .069 .012 .065 .245 .504 .630 .581 .436 .235 .074 .033 .105 .272 .440 .466 .383 .295 .191 .087 1346 .719 5446 .844 17.19018 .030045 .199791 -.019511 Correlation Surface at 1446 5446 .002 .001 .018 .090 .301 .261 .239 .053 .009 .002 .000 .027 .142 .383 .227 .151 .028 .000 .000 .001 .031 .128 .387 .324 .249 .031 .001 .000 .000 .043 .229 .738 .582 .337 .072 .002 .008 .001 .094 .428 1.000 .677 .264 .109 .019 .033 .001 .084 .375 .661 .459 .148 .086 .043 .029 .007 .051 .213 .495 .453 .206 .105 .029 .010 .043 .034 .118 .567 .692 .406 .283 .072 .004 .031 .039 .092 .343 .515 .400 .354 .123 r_peak,r_snr = .1437464 10.69124 Correlation Surface of oversamples image at 1446 5446 .119 .208 .288 .365 .390 .298 .173 .113 .098 .108 .216 .332 .446 .511 .442 .303 .209 .159 .097 .220 .383 .566 .688 .633 .459 .312 .220 .105 .242 .453 .709 .875 .808 .575 .372 .255 .138 .289 .533 .830 1.000 .888 .601 .364 .255 .182 .344 .592 .875 .993 .827 .525 .294 .209 .211 .378 .612 .839 .883 .694 .420 .216 .146 .205 .358 .570 .751 .749 .575 .352 .177 .104 .170 .287 .476 .656 .670 .540 .366 .200 .105 1446 .031 5446 -3.281 10.69124 .022539 .051287 .008061 Correlation Surface at 1546 5446 .000 .024 .120 .069 .071 .038 .000 .008 .015 .026 .000 .147 .413 .586 .299 .054 .017 .010 .003 .012 .054 .467 1.000 .398 .150 .187 .250 .002 .140 .043 .192 .567 .109 .024 .190 .277 .008 .088 .033 .058 .289 .013 .013 .046 .075 .038 .002 .007 .001 .104 .028 .010 .024 .037 .004 .009 .009 .039 .000 .076 .018 .091 .093 r_peak,r_snr = .1037427 16.16585 Correlation Surface of oversamples image at 1546 5446 .161 .132 .102 .104 .116 .109 .077 .040 .016 .227 .283 .280 .284 .284 .240 .152 .071 .029 .213 .382 .507 .590 .597 .492 .310 .153 .078 .149 .349 .604 .840 .902 .740 .470 .258 .170 .104 .246 .528 .870 1.000 .808 .495 .289 .238 .106 .173 .397 .740 .894 .692 .378 .211 .212 .154 .157 .312 .591 .722 .518 .229 .101 .115 .224 .177 .278 .494 .589 .386 .126 .030 .033 .258 .189 .253 .429 .518 .330 .086 .006 .003 1546 -.063 5446 -13.063 16.16586 .025550 .047992 .000361 Correlation Surface at 1646 5446 .010 .035 .017 .084 .347 .286 .152 .018 .000 .038 .014 .074 .000 .153 .138 .216 .102 .004 .015 .023 .001 .037 .158 .035 .049 .126 .001 .120 .151 .006 .239 .589 .157 .048 .120 .074 .016 .058 .005 .331 1.000 .328 .098 .109 .132 .009 .014 .054 .346 .762 .187 .025 .044 .037 .011 .006 .017 .139 .428 .125 .001 .008 .000 .077 .157 .003 .079 .309 .204 .043 .017 .015 .020 .141 .003 .225 .342 .256 .129 .028 .020 r_peak,r_snr = .1089478 18.04755 Correlation Surface of oversamples image at 1646 5446 .024 .000 .032 .096 .112 .049 .011 .019 .089 .015 .015 .116 .233 .247 .128 .036 .024 .069 .021 .025 .209 .443 .500 .322 .138 .074 .090 .014 .034 .292 .672 .807 .580 .300 .170 .147 .000 .069 .374 .833 1.000 .724 .381 .216 .175 .031 .147 .450 .869 .994 .679 .320 .158 .128 .079 .204 .442 .733 .803 .519 .199 .066 .049 .055 .156 .319 .503 .562 .371 .120 .019 .009 .006 .063 .177 .320 .408 .309 .113 .018 .006 1646 -.094 5446 .250 18.04756 .015976 .074480 .001885 Correlation Surface at 1846 5446 .168 .051 .001 .008 .001 .106 .378 .022 .019 .041 .042 .034 .079 .183 .292 .023 .250 .000 .028 .005 .063 .359 .244 .065 .003 .001 .003 .245 .169 .173 .193 .044 .232 .197 .064 .395 1.000 .037 .002 .003 .175 .478 .414 .071 .546 .112 .071 .084 .016 .315 .385 .014 .005 .001 .036 .028 .040 .425 .203 .000 .000 .015 .010 .000 .060 .770 .256 .030 .060 .029 .221 .025 r_peak,r_snr = 6.52448E-02 6.12988 Correlation Surface of oversamples image at 1846 5446 .001 .001 .007 .000 .062 .195 .231 .146 .053 .003 .041 .135 .127 .009 .059 .175 .136 .046 .004 .087 .337 .508 .265 .008 .064 .105 .043 .003 .070 .439 .881 .729 .183 .001 .048 .027 .073 .018 .387 .981 1.000 .401 .029 .006 .006 .244 .001 .242 .774 .868 .416 .065 .001 .000 .432 .048 .079 .395 .477 .243 .046 .003 .003 .525 .128 .003 .105 .151 .078 .011 .000 .002 .498 .166 .010 .007 .021 .009 .000 .002 .000 1846 10.750 5446 2.000 6.12988 .028422 .049613 -.015839 Correlation Surface at 1946 5446 .053 .048 .034 .110 .095 .034 .080 .323 .110 .008 .004 .001 .053 .319 .205 .016 .007 .007 .225 .645 .369 .021 .068 .043 .414 1.000 .496 .073 .007 .023 .212 .324 .126 .033 .010 .016 .117 .060 .030 .033 .037 .003 .085 .127 .059 .031 .038 .000 .001 .044 .003 .003 .000 .000 r_peak,r_snr = .1090322 13.71215 Correlation Surface of oversamples image at 1946 5446 .023 .010 .179 .495 .595 .355 .103 .015 .001 .017 .006 .135 .424 .590 .438 .174 .034 .001 .008 .011 .143 .434 .626 .517 .253 .066 .002 .000 .038 .225 .579 .794 .645 .337 .107 .008 .025 .096 .332 .753 1.000 .769 .377 .126 .018 .085 .152 .354 .730 .982 .747 .331 .098 .018 .138 .178 .277 .485 .664 .530 .221 .054 .011 .148 .183 .198 .242 .307 .268 .119 .030 .010 .126 .181 .170 .129 .114 .105 .064 .031 .024 1946 -14.000 5446 -1.281 13.71215 .025847 .027635 .004362 Correlation Surface at 2046 5446 .091 .000 .007 .005 .027 .027 .009 .230 .102 .053 .004 .000 .038 .113 .194 .003 .498 .331 .031 .015 .081 .172 .197 .366 .068 .339 .368 .009 .078 .169 .317 .469 .551 .103 .052 .028 .001 .053 .147 .474 1.000 .757 .075 .024 .002 .004 .043 .068 .287 .646 .461 .063 .102 .014 .045 .089 .114 .173 .306 .279 .270 .002 .010 .006 .019 .077 .254 .219 .167 .326 .158 .010 .113 .005 .010 .222 .079 .037 .068 .115 .000 r_peak,r_snr = 8.64872E-02 8.47005 Correlation Surface of oversamples image at 2046 5446 .383 .453 .462 .428 .341 .282 .241 .113 .003 .314 .425 .499 .527 .475 .411 .325 .139 .008 .187 .365 .570 .717 .715 .608 .417 .145 .006 .079 .275 .604 .889 .946 .772 .442 .109 .000 .031 .178 .527 .889 1.000 .791 .390 .067 .004 .029 .116 .377 .714 .844 .652 .300 .053 .003 .064 .102 .249 .482 .595 .454 .225 .073 .009 .125 .127 .191 .320 .400 .312 .197 .145 .117 .122 .141 .168 .214 .247 .206 .168 .208 .283 2046 .906 5446 -9.656 8.47005 .081542 .062225 .002525 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .017 .031 .046 .270 .641 .364 .058 .007 .095 .010 .008 .021 .145 .304 .185 .066 .003 .055 .025 .017 .042 .218 .417 .259 .107 .003 .042 .057 .058 .087 .388 .830 .616 .197 .003 .059 .094 .068 .060 .330 1.000 .829 .312 .025 .039 .082 .054 .058 .266 .767 .487 .199 .010 .059 .017 .004 .034 .306 .541 .150 .025 .006 .100 .001 .001 .025 .343 .551 .107 .003 .006 .042 .008 .005 .042 .331 .532 .196 .040 .006 .000 r_peak,r_snr = .142636 11.29473 Correlation Surface of oversamples image at 146 5846 .116 .184 .284 .352 .335 .261 .212 .203 .159 .153 .270 .424 .515 .499 .391 .267 .188 .118 .164 .331 .563 .707 .710 .569 .350 .185 .088 .155 .340 .636 .854 .896 .732 .437 .204 .086 .150 .323 .646 .923 1.000 .816 .489 .232 .104 .164 .320 .639 .931 .996 .786 .472 .240 .119 .185 .337 .639 .900 .910 .676 .399 .210 .104 .180 .354 .636 .839 .792 .549 .311 .156 .063 .149 .355 .624 .776 .702 .471 .254 .112 .029 146 .406 5846 9.250 11.29473 .022329 .111188 -.001500 Correlation Surface at 246 5846 .177 .156 .122 .311 .365 .352 .264 .238 .283 .273 .303 .138 .326 .320 .227 .191 .186 .121 .250 .424 .319 .492 .545 .189 .103 .212 .096 .096 .284 .436 .649 .987 .385 .096 .284 .188 .036 .193 .340 .485 1.000 .547 .196 .416 .304 .048 .202 .320 .302 .685 .522 .235 .391 .337 .061 .126 .255 .219 .438 .389 .158 .191 .232 .117 .111 .160 .160 .256 .277 .109 .054 .140 .176 .227 .205 .130 .169 .347 .175 .039 .089 r_peak,r_snr = .1546521 4.97109 Correlation Surface of oversamples image at 246 5846 .124 .241 .439 .552 .484 .362 .299 .284 .286 .125 .239 .458 .616 .549 .356 .221 .179 .201 .156 .278 .515 .730 .709 .455 .215 .116 .122 .194 .328 .578 .843 .897 .622 .269 .097 .077 .228 .351 .587 .870 1.000 .773 .363 .120 .077 .260 .334 .522 .795 .984 .854 .471 .191 .127 .302 .296 .419 .671 .902 .870 .564 .289 .215 .364 .277 .333 .557 .818 .859 .630 .382 .301 .410 .279 .278 .461 .725 .811 .642 .423 .326 246 .000 5846 .188 4.97109 .022023 .153733 -.030552 Correlation Surface at 346 5846 .000 .000 .050 .359 .567 .190 .003 .000 .002 .012 .016 .017 .233 .425 .174 .024 .011 .009 .009 .038 .000 .147 .338 .092 .042 .058 .038 .009 .056 .000 .223 .631 .133 .021 .054 .043 .015 .044 .003 .327 1.000 .314 .006 .002 .004 .014 .008 .012 .250 .846 .407 .001 .007 .003 .009 .000 .009 .126 .378 .281 .003 .002 .001 .041 .011 .009 .122 .177 .126 .015 .004 .000 .137 .066 .005 .171 .269 .146 .045 .012 .051 r_peak,r_snr = .1722715 15.57447 Correlation Surface of oversamples image at 346 5846 .000 .046 .150 .268 .301 .197 .077 .037 .058 .000 .046 .189 .366 .408 .247 .073 .018 .031 .000 .054 .252 .528 .611 .372 .099 .010 .008 .001 .058 .302 .681 .848 .555 .159 .011 .000 .001 .051 .298 .730 1.000 .728 .243 .019 .002 .000 .038 .242 .649 .979 .808 .319 .033 .005 .000 .027 .170 .492 .809 .751 .347 .049 .003 .003 .024 .120 .340 .585 .594 .316 .059 .001 .012 .033 .104 .244 .393 .414 .250 .063 .000 346 .063 5846 .219 15.57448 .006775 .044149 -.003944 Correlation Surface at 446 5846 .041 .097 .245 .338 .484 .366 .241 .242 .299 .076 .213 .399 .458 .377 .140 .038 .098 .220 .135 .327 .513 .609 .394 .113 .020 .076 .224 .138 .212 .419 .832 .798 .374 .148 .179 .236 .071 .093 .277 .792 1.000 .585 .282 .258 .210 .034 .161 .270 .403 .544 .457 .298 .287 .323 .016 .289 .476 .306 .181 .192 .290 .262 .385 .050 .187 .442 .516 .144 .037 .131 .172 .283 .175 .110 .321 .751 .394 .108 .080 .197 .331 r_peak,r_snr = .1208504 4.22861 Correlation Surface of oversamples image at 446 5846 .640 .650 .567 .452 .341 .233 .130 .051 .017 .592 .609 .565 .470 .349 .226 .126 .057 .027 .485 .562 .611 .591 .490 .337 .201 .112 .078 .347 .500 .684 .800 .761 .577 .371 .228 .178 .252 .433 .711 .956 1.000 .816 .556 .349 .266 .227 .376 .632 .898 .999 .866 .623 .396 .281 .266 .337 .472 .655 .772 .726 .569 .384 .271 .391 .355 .339 .389 .459 .468 .415 .329 .272 .599 .458 .309 .241 .228 .227 .225 .227 .254 446 .375 5846 -3.281 4.22861 .075129 .066844 -.029858 Correlation Surface at 546 5846 .000 .038 .047 .010 .137 .052 .018 .089 .080 .000 .008 .013 .026 .108 .026 .001 .034 .029 .020 .018 .004 .128 .212 .007 .017 .006 .006 .087 .089 .029 .176 .538 .038 .046 .009 .014 .077 .118 .049 .152 1.000 .308 .000 .013 .023 .049 .077 .015 .111 .980 .728 .113 .004 .081 .007 .056 .006 .043 .474 .714 .308 .094 .012 .000 .032 .005 .053 .185 .307 .269 .155 .019 .012 .056 .006 .088 .098 .057 .147 .115 .070 r_peak,r_snr = .1398775 19.8137 Correlation Surface of oversamples image at 546 5846 .038 .003 .132 .287 .228 .069 .000 .035 .049 .051 .001 .143 .390 .389 .170 .012 .020 .052 .044 .001 .155 .509 .637 .384 .088 .000 .021 .022 .004 .173 .607 .902 .689 .260 .036 .000 .006 .010 .169 .593 1.000 .911 .451 .124 .023 .000 .015 .137 .472 .878 .933 .560 .207 .065 .001 .023 .110 .336 .655 .785 .546 .238 .090 .005 .042 .114 .253 .446 .551 .419 .203 .088 .011 .072 .154 .236 .311 .337 .252 .130 .067 546 .188 5846 .563 19.81370 .010997 .092657 -.019511 Correlation Surface at 646 5846 .009 .006 .005 .098 .241 .073 .003 .000 .016 .001 .003 .000 .193 .488 .197 .001 .021 .000 .000 .002 .005 .193 .490 .274 .018 .008 .012 .001 .001 .030 .275 .634 .273 .005 .001 .001 .008 .000 .015 .377 1.000 .451 .003 .000 .001 .023 .001 .004 .240 .792 .353 .008 .004 .028 .009 .002 .011 .055 .364 .168 .005 .006 .053 .000 .005 .000 .017 .195 .186 .024 .000 .008 .002 .000 .001 .019 .099 .178 .101 .004 .000 r_peak,r_snr = .1394668 19.08238 Correlation Surface of oversamples image at 646 5846 .032 .107 .259 .447 .534 .430 .202 .030 .004 .052 .116 .242 .418 .534 .459 .227 .037 .002 .086 .143 .262 .446 .590 .526 .261 .039 .004 .101 .176 .334 .582 .787 .717 .361 .055 .005 .079 .183 .404 .735 1.000 .922 .489 .092 .001 .021 .104 .329 .662 .893 .807 .447 .107 .001 .000 .033 .202 .484 .643 .535 .292 .083 .006 .008 .005 .099 .293 .399 .301 .143 .033 .001 .006 .001 .038 .143 .219 .166 .070 .011 .000 646 .156 5846 .094 19.08239 .013445 .057247 -.002905 Correlation Surface at 846 5846 .012 .010 .085 .535 .487 .272 .117 .050 .011 .000 .000 .103 .715 .650 .248 .085 .080 .068 .016 .008 .049 .402 .605 .194 .053 .054 .075 .009 .001 .012 .228 .707 .259 .036 .010 .021 .000 .003 .010 .334 1.000 .427 .029 .001 .004 .009 .004 .040 .415 .853 .391 .048 .018 .014 .002 .006 .090 .393 .652 .373 .125 .046 .025 .001 .037 .092 .289 .415 .277 .111 .033 .056 .003 .034 .080 .218 .252 .110 .033 .011 .081 r_peak,r_snr = .1706937 15.57226 Correlation Surface of oversamples image at 846 5846 .019 .060 .175 .328 .350 .231 .132 .105 .117 .016 .061 .189 .380 .446 .316 .173 .111 .100 .022 .098 .287 .558 .680 .526 .300 .164 .104 .032 .156 .425 .765 .916 .739 .443 .228 .112 .048 .221 .543 .882 1.000 .806 .501 .262 .122 .067 .280 .609 .889 .942 .744 .473 .266 .137 .086 .314 .620 .833 .838 .651 .419 .257 .155 .096 .303 .570 .741 .730 .572 .376 .241 .162 .095 .250 .465 .603 .593 .480 .327 .211 .141 846 -.063 5846 .500 15.57226 .007987 .062051 .001275 Correlation Surface at 946 5846 .031 .006 .006 .226 .702 .368 .057 .000 .015 .030 .025 .009 .211 .544 .232 .051 .001 .019 .005 .021 .028 .351 .610 .185 .046 .000 .034 .001 .000 .069 .526 .925 .342 .064 .000 .068 .026 .004 .035 .380 1.000 .468 .096 .002 .040 .061 .046 .000 .144 .669 .401 .073 .006 .018 .055 .039 .001 .135 .435 .310 .072 .009 .007 .027 .004 .024 .215 .412 .299 .159 .057 .004 .023 .000 .031 .229 .550 .476 .268 .131 .049 r_peak,r_snr = .1739982 10.01904 Correlation Surface of oversamples image at 946 5846 .135 .416 1.021 1.644 1.742 1.291 .725 .326 .090 .291 .585 1.133 1.672 1.761 1.393 .895 .453 .127 .454 .802 1.392 1.979 2.102 1.734 1.195 .663 .215 .572 1.042 1.815 2.630 2.886 2.444 1.701 .950 .348 946 .469 5846 9.875 10.01905 .011216 .077082 -.013531 Correlation Surface at 1046 5846 .001 .004 .001 .023 .074 .026 .006 .001 .000 .002 .048 .011 .037 .090 .011 .009 .003 .001 .002 .077 .029 .097 .244 .033 .016 .009 .001 .003 .075 .040 .179 .746 .239 .003 .009 .005 .002 .072 .047 .180 1.000 .392 .000 .009 .014 .002 .019 .036 .152 .964 .301 .000 .016 .015 .028 .000 .025 .090 .817 .225 .009 .027 .013 .056 .008 .013 .034 .447 .118 .026 .031 .018 .071 .024 .001 .061 .236 .038 .037 .041 .021 r_peak,r_snr = .1923485 28.6576 Correlation Surface of oversamples image at 1046 5846 .013 .017 .156 .302 .269 .114 .011 .007 .025 .010 .030 .248 .511 .523 .282 .053 .002 .036 .012 .032 .304 .697 .803 .509 .137 .001 .033 .021 .020 .294 .774 .980 .685 .227 .010 .020 .034 .007 .241 .740 1.000 .733 .265 .022 .010 .038 .001 .183 .649 .917 .673 .240 .020 .008 .029 .000 .140 .553 .810 .580 .184 .008 .012 .020 .000 .110 .470 .714 .501 .133 .001 .025 .017 .000 .083 .388 .618 .434 .099 .001 .041 1046 -.031 5846 -2.188 28.65760 .004624 .104367 -.002902 Correlation Surface at 1146 5846 .000 .029 .004 .017 .032 .080 .043 .004 .011 .005 .017 .006 .019 .024 .045 .026 .001 .000 .044 .008 .039 .000 .176 .153 .046 .014 .014 .047 .040 .072 .035 .676 .408 .075 .008 .011 .033 .021 .037 .077 1.000 .483 .049 .001 .001 .065 .020 .019 .060 .792 .392 .027 .001 .005 .123 .050 .025 .068 .610 .321 .030 .009 .003 .121 .060 .022 .069 .435 .175 .018 .024 .020 .062 .034 .001 .114 .302 .090 .003 .004 .001 r_peak,r_snr = .1724218 20.63795 Correlation Surface of oversamples image at 1146 5846 .030 .042 .009 .015 .108 .181 .181 .148 .121 .035 .023 .003 .121 .322 .394 .323 .210 .124 .039 .010 .036 .321 .644 .663 .464 .252 .110 .048 .007 .069 .489 .918 .860 .527 .242 .081 .060 .010 .066 .516 1.000 .912 .504 .195 .049 .073 .017 .042 .426 .907 .857 .450 .150 .028 .076 .021 .025 .332 .781 .793 .425 .135 .024 .063 .015 .025 .293 .712 .767 .439 .152 .034 .044 .006 .036 .296 .676 .729 .434 .168 .051 1146 .156 5846 -.031 20.63796 .004964 .042189 .000897 Correlation Surface at 1246 5846 .003 .032 .007 .002 .041 .013 .030 .102 .104 .141 .001 .000 .032 .000 .013 .001 .011 .074 .372 .013 .000 .131 .047 .016 .016 .014 .000 .213 .002 .000 .143 .370 .000 .000 .006 .001 .053 .000 .060 .066 1.000 .137 .044 .082 .002 .027 .028 .287 .006 .888 .186 .008 .020 .061 .081 .068 .261 .005 .350 .015 .005 .029 .036 .272 .061 .034 .001 .168 .000 .000 .132 .015 .504 .061 .008 .091 .294 .058 .046 .136 .039 r_peak,r_snr = 8.45446E-02 12.87345 Correlation Surface of oversamples image at 1246 5846 .002 .062 .261 .338 .135 .001 .039 .032 .000 .000 .025 .238 .483 .318 .044 .005 .004 .025 .008 .000 .149 .598 .645 .236 .023 .014 .115 .070 .046 .052 .597 .960 .539 .128 .062 .177 .216 .168 .004 .471 1.000 .666 .165 .045 .108 .355 .293 .007 .292 .757 .501 .075 .001 .015 .331 .307 .030 .142 .449 .252 .004 .038 .005 .162 .189 .032 .059 .231 .101 .011 .113 .029 .029 .058 .014 .025 .119 .053 .014 .095 .016 1246 .031 5846 -.688 12.87346 .014012 .093198 -.015876 Correlation Surface at 1346 5846 .086 .064 .000 .105 .031 .000 .064 .018 .042 .002 .065 .001 .159 .038 .001 .141 .154 .006 .105 .015 .031 .302 .060 .000 .089 .215 .041 .228 .171 .093 .739 .442 .149 .099 .003 .001 .206 .249 .090 .875 1.000 .569 .213 .049 .048 .249 .412 .221 .714 .780 .567 .287 .010 .036 .238 .390 .443 .631 .384 .305 .199 .019 .084 .153 .134 .323 .616 .224 .162 .100 .098 .195 .130 .204 .354 .823 .212 .017 .021 .018 .072 r_peak,r_snr = 8.21469E-02 9.94544 Correlation Surface of oversamples image at 1346 5846 .004 .003 .105 .256 .171 .021 .001 .000 .035 .011 .037 .235 .482 .358 .100 .015 .017 .060 .057 .089 .377 .769 .671 .299 .113 .089 .104 .109 .141 .470 .960 .951 .562 .301 .221 .175 .184 .208 .506 .957 1.000 .688 .449 .344 .245 .310 .320 .530 .832 .838 .594 .430 .362 .264 .448 .459 .559 .680 .607 .397 .290 .276 .228 .489 .550 .576 .559 .421 .240 .168 .188 .192 .377 .535 .583 .508 .335 .172 .123 .167 .209 1346 .281 5846 1.750 9.94544 .208644 .106554 -.068815 Correlation Surface at 1446 5846 .114 .165 .026 .153 .198 .082 .027 .020 .100 .069 .074 .010 .092 .137 .005 .002 .043 .002 .071 .000 .015 .046 .104 .000 .004 .018 .009 .170 .000 .016 .160 .356 .046 .000 .006 .000 .069 .008 .000 .367 1.000 .303 .000 .039 .005 .003 .001 .000 .260 .951 .251 .034 .077 .017 .085 .027 .006 .100 .608 .116 .065 .078 .006 .133 .015 .000 .092 .565 .179 .010 .014 .000 .048 .007 .053 .213 .720 .267 .002 .029 .020 r_peak,r_snr = 9.07948E-02 10.91443 Correlation Surface of oversamples image at 1446 5846 .002 .005 .051 .121 .150 .118 .067 .041 .023 .008 .004 .077 .216 .292 .244 .153 .094 .051 .010 .005 .119 .369 .542 .459 .270 .139 .057 .006 .008 .155 .523 .840 .732 .384 .148 .037 .000 .015 .168 .579 1.000 .912 .436 .120 .013 .004 .026 .155 .501 .896 .840 .372 .068 .001 .016 .040 .129 .361 .647 .609 .246 .027 .001 .024 .050 .108 .251 .437 .412 .157 .010 .002 .031 .062 .107 .206 .330 .305 .116 .008 .000 1446 .188 5846 -2.406 10.91444 .023410 .079244 -.005979 Correlation Surface at 1546 5846 .375 .148 .267 .257 .102 .118 .127 .198 .194 .529 .221 .248 .254 .170 .138 .111 .119 .091 .365 .247 .188 .103 .167 .255 .230 .198 .104 .141 .157 .164 .136 .390 .410 .239 .267 .259 .099 .093 .196 .406 1.000 .745 .284 .342 .508 .200 .113 .177 .420 .728 .601 .401 .503 .508 .287 .200 .130 .234 .219 .171 .232 .411 .309 .386 .408 .193 .255 .149 .097 .148 .260 .299 .619 .570 .267 .251 .219 .198 .189 .181 .292 r_peak,r_snr = .1304177 6.18327 Correlation Surface of oversamples image at 1546 5846 .154 .134 .167 .243 .307 .328 .337 .389 .456 .162 .172 .245 .350 .400 .385 .362 .370 .422 .209 .271 .423 .590 .614 .524 .439 .397 .420 .251 .368 .610 .860 .872 .709 .572 .505 .514 .254 .390 .660 .963 1.000 .826 .699 .673 .708 .208 .313 .527 .799 .875 .757 .697 .769 .883 .143 .195 .319 .504 .595 .552 .550 .688 .889 .110 .118 .168 .268 .351 .364 .383 .510 .732 .125 .102 .106 .146 .206 .248 .275 .360 .540 1546 2.281 5846 -6.531 6.18327 .028627 .026514 .003426 Correlation Surface at 1646 5846 .006 .065 .026 .001 .091 .005 .005 .076 .083 .000 .095 .129 .038 .004 .082 .243 .191 .087 .007 .009 .089 .063 .104 .277 .197 .038 .004 .013 .013 .094 .152 .507 .556 .069 .015 .010 .013 .042 .172 .616 1.000 .589 .002 .005 .005 .000 .063 .044 .579 .639 .187 .142 .213 .078 .001 .035 .004 .235 .391 .150 .189 .149 .054 .156 .006 .009 .133 .582 .574 .000 .008 .000 .658 .217 .014 .038 .203 .458 .029 .002 .016 r_peak,r_snr = 8.04584E-02 12.12051 Correlation Surface of oversamples image at 1646 5846 .066 .054 .033 .028 .057 .104 .115 .037 .002 .054 .066 .082 .136 .224 .222 .110 .006 .030 .092 .138 .209 .390 .585 .486 .175 .003 .041 .185 .295 .410 .697 .967 .754 .248 .004 .039 .275 .472 .567 .803 1.000 .715 .197 .000 .066 .272 .504 .522 .605 .650 .370 .040 .050 .183 .185 .367 .316 .302 .276 .084 .016 .263 .411 .088 .197 .144 .125 .107 .006 .124 .507 .591 .024 .084 .072 .085 .097 .008 .118 .503 .555 1646 -.469 5846 -1.219 12.12051 .133380 .115403 .076308 Correlation Surface at 1746 5846 .010 .081 .102 .006 .157 .004 .076 .104 .005 .005 .045 .255 .170 .014 .013 .000 .000 .006 .005 .083 .360 .592 .095 .072 .225 .077 .008 .047 .079 .246 .704 .451 .054 .333 .084 .019 .005 .003 .005 .388 1.000 .016 .181 .061 .029 .005 .024 .015 .079 .993 .173 .062 .017 .002 r_peak,r_snr = 8.39029E-02 12.6854 Correlation Surface of oversamples image at 1746 5846 .372 .627 .842 .784 .410 .049 .046 .293 .523 .245 .437 .724 .867 .602 .137 .012 .219 .415 .109 .222 .518 .845 .756 .260 .000 .119 .246 .037 .093 .358 .822 .913 .408 .023 .054 .146 .016 .039 .241 .750 1.000 .545 .075 .014 .086 .014 .020 .143 .565 .873 .547 .114 .001 .048 .023 .013 .063 .296 .513 .332 .072 .000 .033 .044 .014 .020 .085 .151 .077 .006 .006 .030 .075 .027 .008 .007 .004 .003 .027 .035 .028 1746 7.906 5846 13.438 12.68540 .033278 .249702 -.070982 Correlation Surface at 1846 5846 .012 .213 .011 .404 .737 .087 .001 .008 .013 .051 .411 .132 .178 .690 .170 .024 .000 .005 .065 .118 .050 .164 .469 .198 .035 .016 .051 .043 .045 .008 .294 .772 .288 .043 .127 .068 .000 .022 .003 .236 1.000 .356 .032 .241 .000 .035 .000 .007 .047 .396 .223 .009 .003 .014 .033 .000 .000 .058 .142 .039 .017 .057 .004 .001 .005 .019 .226 .182 .010 .001 .000 .035 .041 .019 .003 .199 .139 .043 .030 .028 .005 r_peak,r_snr = 8.08956E-02 10.3751 Correlation Surface of oversamples image at 1846 5846 .008 .079 .434 .793 .804 .458 .143 .025 .006 .027 .045 .386 .836 .984 .670 .247 .044 .006 .023 .028 .285 .720 1.000 .812 .351 .061 .003 .006 .025 .197 .524 .820 .763 .374 .064 .000 .001 .041 .178 .413 .624 .602 .320 .055 .000 .004 .057 .199 .387 .495 .431 .225 .032 .006 .000 .043 .201 .382 .429 .317 .143 .011 .028 1846 1.063 5846 7.031 10.37511 .025501 .077952 -.008072 Correlation Surface at 1946 5846 .025 .021 .094 .003 .062 .109 .293 .041 .004 .032 .110 .120 .038 .273 .012 .170 .118 .078 .012 .093 .053 .141 .620 .064 .005 .045 .150 .002 .056 .025 .205 .924 .351 .073 .058 .036 .027 .045 .006 .192 1.000 .308 .020 .196 .020 .093 .027 .015 .091 .354 .043 .005 .223 .122 .045 .033 .088 .087 .037 .003 .012 .345 .319 .004 .025 .122 .188 .012 .016 .006 .133 .245 .004 .020 .117 .315 .027 .057 .026 .006 .045 r_peak,r_snr = 8.69702E-02 12.25724 Correlation Surface of oversamples image at 1946 5846 .021 .001 .102 .274 .244 .060 .011 .155 .214 .037 .002 .167 .457 .449 .172 .001 .084 .157 .036 .004 .210 .594 .654 .343 .050 .009 .045 .021 .010 .230 .677 .853 .569 .184 .019 .001 .009 .014 .214 .678 1.000 .794 .339 .089 .046 .007 .006 .137 .543 .950 .838 .362 .092 .058 .003 .001 .064 .345 .718 .662 .245 .034 .022 .004 .008 .039 .186 .424 .389 .108 .002 .003 .061 .064 .061 .108 .203 .169 .025 .004 .000 1946 .094 5846 -.813 12.25724 .018830 .081198 .006512 Correlation Surface at 2046 5846 .018 .001 .010 .129 .217 .008 .022 .116 .033 .015 .000 .006 .086 .115 .003 .043 .003 .040 .080 .064 .100 .254 .276 .077 .082 .012 .008 .197 .025 .123 .509 .867 .481 .001 .035 .030 .293 .008 .004 .280 1.000 .923 .054 .001 .001 .199 .097 .028 .049 .328 .650 .018 .013 .007 .031 .033 .045 .001 .005 .059 .011 .065 .008 .010 .038 .001 .003 .000 .005 .037 .026 .002 .026 .085 .007 .037 .020 .000 .010 .001 .015 r_peak,r_snr = 9.12657E-02 12.87618 Correlation Surface of oversamples image at 2046 5846 .015 .092 .167 .164 .107 .039 .001 .011 .010 .068 .229 .391 .414 .304 .146 .024 .003 .015 .097 .341 .638 .755 .616 .346 .103 .003 .008 .062 .314 .717 .988 .912 .589 .239 .038 .000 .015 .174 .543 .923 1.000 .756 .384 .099 .005 .000 .054 .268 .600 .808 .745 .465 .150 .011 .000 .006 .069 .243 .447 .527 .402 .148 .009 .000 .000 .002 .043 .150 .249 .234 .097 .004 .000 .005 .009 .000 .022 .072 .092 .047 .002 2046 -7.750 5846 -.219 12.87619 .071871 .075214 -.037851 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2731506 51.93267 146 .000 3046 .031 51.93267 .002258 .003613 -.000264 r_peak,r_snr = .2884946 45.00346 246 .063 3046 .031 45.00347 .002202 .004800 -.000105 r_peak,r_snr = .2638587 68.88312 346 .063 3046 -.031 68.88313 .001985 .003877 -.000386 r_peak,r_snr = .2024879 36.66361 446 .031 3046 -.125 36.66361 .003711 .008475 -.000755 r_peak,r_snr = .3538168 8.01593 546 -.063 3046 .063 8.01593 .002353 .006688 -.000394 r_peak,r_snr = .26411 2.89175 646 .375 3046 -.250 2.89175 .025704 .039538 -.010535 r_peak,r_snr = .1757321 51.48419 746 .250 3046 -.219 51.48420 .004136 .007894 -.000047 r_peak,r_snr = .3974542 36.99384 846 .000 3046 .125 36.99384 .001255 .004391 -.000101 r_peak,r_snr = .2697615 87.38304 946 -.094 3046 -.063 87.38305 .001683 .003618 -.000028 r_peak,r_snr = .2307543 56.52684 1046 -.063 3046 -.219 56.52684 .002560 .007054 -.000596 r_peak,r_snr = .2476361 62.24208 1146 -.156 3046 .063 62.24208 .002515 .004346 -.000366 r_peak,r_snr = .1603016 34.21341 1246 .188 3046 -.063 34.21342 .007863 .012739 .001212 r_peak,r_snr = .2106267 21.18101 1346 -.031 3046 .281 21.18101 .003104 .028352 -.001079 r_peak,r_snr = .2823156 50.49121 1446 .031 3046 .156 50.49122 .002539 .006445 -.000312 r_peak,r_snr = .2262897 21.9622 1546 .094 3046 .219 21.96220 .003492 .018849 -.000856 r_peak,r_snr = .186226 30.11634 1646 -.125 3046 .063 30.11634 .003978 .009436 -.001071 r_peak,r_snr = .1817432 31.11469 1746 .125 3046 -.156 31.11470 .005725 .014343 -.001372 r_peak,r_snr = .2756715 15.62438 1846 -.094 3046 .094 15.62438 .003646 .014166 .000271 r_peak,r_snr = .25433 42.11618 1946 .000 3046 -.344 42.11619 .002402 .009565 .000021 r_peak,r_snr = .2250107 43.88443 2046 -.031 3046 -.094 43.88443 .003195 .008372 -.000455 At line = 3400 Reading in data.... r_peak,r_snr = .2772848 50.66523 146 -.031 3446 .063 50.66524 .001920 .004833 -.000300 r_peak,r_snr = .3948623 11.84055 246 -.031 3446 -.063 11.84056 .001969 .003631 -.000197 r_peak,r_snr = .1944183 60.12429 346 -.031 3446 .063 60.12430 .003794 .006877 -.000483 r_peak,r_snr = .2509028 58.62757 446 .000 3446 .031 58.62758 .002626 .007032 -.000447 r_peak,r_snr = .2640742 13.46277 546 -.063 3446 .156 13.46277 .004869 .008268 -.000496 r_peak,r_snr = .2245215 6.7294 646 -.094 3446 .031 6.72940 .008313 .010261 -.000854 r_peak,r_snr = .2289421 39.98941 746 -.125 3446 .156 39.98941 .002727 .006308 -.000377 r_peak,r_snr = .3146168 52.07649 846 .000 3446 .000 52.07650 .001590 .003834 -.000096 r_peak,r_snr = .3209694 83.48947 946 .063 3446 .094 83.48947 .001421 .003585 -.000298 r_peak,r_snr = .2690913 65.58357 1046 -.031 3446 .125 65.58357 .002086 .005116 -.000324 r_peak,r_snr = .1970773 11.82852 1146 -.031 3446 .063 11.82853 .005774 .018965 -.001490 r_peak,r_snr = .1820353 38.52714 1246 -.156 3446 -.125 38.52715 .004365 .008270 -.000698 r_peak,r_snr = .2692953 32.4581 1346 .031 3446 .063 32.45811 .002906 .011651 .000004 r_peak,r_snr = .3159233 38.00442 1446 .000 3446 -.125 38.00443 .001945 .005343 -.000386 r_peak,r_snr = .2171441 48.77543 1546 -.094 3446 .063 48.77543 .002864 .009578 -.000583 r_peak,r_snr = .2012312 41.888 1646 .031 3446 .000 41.88800 .002560 .009464 -.000287 r_peak,r_snr = .2043657 58.92378 1746 .031 3446 -.156 58.92379 .003863 .006100 -.000587 r_peak,r_snr = 9.95090E-02 13.47388 1846 .063 3446 -.031 13.47388 .016950 .032038 -.009212 r_peak,r_snr = .2480935 32.59505 1946 -.094 3446 .031 32.59506 .002829 .010447 -.001075 r_peak,r_snr = .2312989 54.74946 2046 -.063 3446 .125 54.74947 .002746 .006876 -.000644 At line = 3800 Reading in data.... r_peak,r_snr = .3084882 27.32283 146 -.031 3846 .188 27.32284 .002271 .004543 -.000119 r_peak,r_snr = .2801956 24.04329 246 -.125 3846 .000 24.04329 .002840 .005865 -.000989 r_peak,r_snr = .2979159 8.81365 346 .063 3846 .063 8.81365 .004674 .006919 -.001125 r_peak,r_snr = .1576997 41.46393 446 .031 3846 -.031 41.46394 .003884 .008696 -.000360 r_peak,r_snr = .2189032 40.34874 546 .031 3846 -.125 40.34875 .004439 .012191 -.001116 r_peak,r_snr = .1779703 13.63516 646 -.094 3846 .188 13.63517 .009901 .018834 -.000130 r_peak,r_snr = .2395461 80.93922 746 .094 3846 .094 80.93922 .002691 .004885 -.000610 r_peak,r_snr = .3112444 89.23039 846 -.125 3846 -.219 89.23039 .001449 .003374 -.000308 r_peak,r_snr = .3625524 117.4643 946 -.156 3846 .094 117.46433 .001137 .002261 -.000111 r_peak,r_snr = .2639658 64.43829 1046 .063 3846 .313 64.43829 .002140 .003489 -.000319 r_peak,r_snr = .2362709 26.96372 1146 .000 3846 -.250 26.96373 .002762 .011218 .000207 r_peak,r_snr = .1704064 32.38874 1246 -.063 3846 -.125 32.38874 .003632 .013040 -.000313 r_peak,r_snr = .2968065 34.3971 1346 .031 3846 -.250 34.39711 .001987 .008658 .000114 r_peak,r_snr = .2731665 74.15386 1446 .094 3846 -.063 74.15387 .001807 .005813 -.000416 r_peak,r_snr = .1971463 38.03351 1546 -.063 3846 -.188 38.03352 .004477 .008013 -.001175 r_peak,r_snr = .1735976 49.05804 1646 .094 3846 .156 49.05804 .005076 .008448 -.001348 r_peak,r_snr = .2724336 41.49098 1746 .031 3846 -.281 41.49099 .002135 .009312 -.000703 r_peak,r_snr = .2579217 17.3141 1846 .063 3846 -.031 17.31411 .004037 .015871 -.000737 r_peak,r_snr = .248563 42.31501 1946 .031 3846 .000 42.31502 .002546 .010576 -.000144 r_peak,r_snr = .1662739 35.98996 2046 .000 3846 .000 35.98996 .003681 .010117 -.000890 At line = 4200 Reading in data.... r_peak,r_snr = .4779125 14.39722 146 -.031 4246 -.094 14.39723 .001386 .003235 -.000153 r_peak,r_snr = .1805707 29.01206 246 .063 4246 -.250 29.01206 .004415 .011825 -.000499 r_peak,r_snr = .1852646 35.67576 346 -.031 4246 .219 35.67577 .005918 .006985 -.001135 r_peak,r_snr = .345182 11.80409 446 .063 4246 .031 11.80410 .002157 .007824 -.000842 r_peak,r_snr = .2684044 6.01487 546 .063 4246 -.281 6.01487 .003836 .011764 -.000294 r_peak,r_snr = .1500974 4.74571 646 .063 4246 -.094 4.74571 .015917 .058449 -.005734 r_peak,r_snr = .1754934 25.47813 746 -.219 4246 .000 25.47814 .007242 .012891 .000176 r_peak,r_snr = .4019094 21.77101 846 .000 4246 -.031 21.77101 .001355 .003835 -.000398 r_peak,r_snr = .3603941 54.7961 946 .063 4246 .031 54.79611 .001350 .003601 -.000058 r_peak,r_snr = .2439845 68.47964 1046 .031 4246 -.094 68.47964 .002263 .006171 -.000072 r_peak,r_snr = .2365116 22.65645 1146 .125 4246 -.094 22.65645 .003888 .009619 .000215 r_peak,r_snr = .2475405 60.03336 1246 -.094 4246 .063 60.03336 .002722 .004832 -.000256 r_peak,r_snr = .2584068 24.70519 1346 .063 4246 -.031 24.70520 .003093 .012839 .000074 r_peak,r_snr = .1871301 40.77042 1446 -.094 4246 -.063 40.77043 .003931 .014350 -.001232 r_peak,r_snr = .2363444 44.54634 1546 .125 4246 .031 44.54634 .002926 .006795 -.000708 r_peak,r_snr = .1391567 17.9566 1646 .094 4246 .219 17.95660 .007775 .046305 -.002400 r_peak,r_snr = .2043 45.47515 1746 -.063 4246 -.250 45.47516 .003962 .006640 -.000526 r_peak,r_snr = .1257286 13.68421 1846 .125 4246 -.406 13.68422 .011898 .030187 -.001324 r_peak,r_snr = .2078075 62.70286 1946 -.156 4246 -.219 62.70286 .003314 .005791 -.001097 r_peak,r_snr = .1879013 31.73566 2046 .063 4246 -.031 31.73566 .004153 .019629 .000118 At line = 4600 Reading in data.... r_peak,r_snr = .3267321 21.44939 146 .094 4646 -.063 21.44939 .002185 .005204 -.000089 r_peak,r_snr = .233376 39.52712 246 .063 4646 .250 39.52713 .003349 .005282 -.000549 r_peak,r_snr = .2285976 28.98877 346 .031 4646 .156 28.98878 .003109 .006787 -.000405 r_peak,r_snr = .2464327 25.47549 446 -.125 4646 -.219 25.47550 .003026 .009181 -.000412 r_peak,r_snr = .307502 7.29459 546 .125 4646 -.156 7.29459 .002980 .016920 -.000379 r_peak,r_snr = .1960809 44.2787 646 .031 4646 -.156 44.27871 .004146 .006829 -.001204 r_peak,r_snr = .1742171 28.8526 746 -.250 4646 .188 28.85261 .007301 .023550 -.000570 r_peak,r_snr = .2473985 15.5474 846 .000 4646 .063 15.54740 .004056 .011182 .000806 r_peak,r_snr = .3163232 65.68379 946 .031 4646 -.063 65.68379 .001685 .004118 -.000253 r_peak,r_snr = .2278677 55.65551 1046 -.031 4646 .000 55.65551 .002637 .005847 -.000239 r_peak,r_snr = .2563076 64.03425 1146 .125 4646 .219 64.03426 .001806 .005629 -.000405 r_peak,r_snr = .278355 47.4435 1246 .063 4646 -.094 47.44351 .002448 .004320 -.000387 r_peak,r_snr = .2886549 15.96515 1346 .000 4646 .000 15.96515 .003167 .004825 -.000663 r_peak,r_snr = .1766861 34.87961 1446 -.031 4646 -.125 34.87961 .004082 .013893 -.001215 r_peak,r_snr = .2562046 21.60671 1546 -.063 4646 -.250 21.60672 .002736 .020369 -.001306 r_peak,r_snr = .1741034 22.77603 1646 .063 4646 .188 22.77603 .006557 .016770 -.000888 r_peak,r_snr = 8.07556E-02 15.14065 1746 -12.156 4646 -12.063 15.14066 .036096 .063050 -.006899 r_peak,r_snr = .2731577 32.78098 1846 .063 4646 -.031 32.78099 .002450 .006787 -.000619 r_peak,r_snr = .2508873 51.27563 1946 -.094 4646 -.156 51.27564 .002043 .007957 -.000503 r_peak,r_snr = .2005252 44.77759 2046 .000 4646 -.063 44.77759 .004059 .007562 -.000322 At line = 5000 Reading in data.... r_peak,r_snr = .2794956 35.53253 146 -.094 5046 -.094 35.53253 .002326 .008101 -.000211 r_peak,r_snr = .1679652 39.94351 246 .000 5046 -.156 39.94351 .003586 .019876 -.001297 r_peak,r_snr = .2184794 27.03768 346 .188 5046 .031 27.03769 .005110 .012650 -.001637 r_peak,r_snr = .2558878 78.34476 446 .031 5046 -.063 78.34476 .002404 .004797 -.000362 r_peak,r_snr = .2667028 46.85957 546 -.063 5046 .219 46.85958 .003068 .005767 -.000716 r_peak,r_snr = .2866827 11.72193 646 .125 5046 .219 11.72193 .004313 .008007 -.000306 r_peak,r_snr = .1899805 39.00719 746 .156 5046 .219 39.00720 .008060 .012291 -.002882 r_peak,r_snr = .3107942 28.2164 846 -.156 5046 -.063 28.21641 .002894 .005671 -.000240 r_peak,r_snr = .3756227 31.29452 946 .094 5046 -.063 31.29453 .001586 .003621 -.000265 r_peak,r_snr = .3616286 66.82402 1046 .000 5046 .250 66.82403 .001288 .003972 -.000193 r_peak,r_snr = .2913428 56.75399 1146 -.031 5046 .094 56.75399 .002514 .007168 -.000274 r_peak,r_snr = .2309638 61.29515 1246 .156 5046 .125 61.29515 .002693 .004775 -.000878 r_peak,r_snr = .242453 35.4352 1346 .000 5046 .281 35.43521 .003045 .014629 .000263 r_peak,r_snr = .1150844 20.10336 1446 -.156 5046 .563 20.10336 .009041 .112997 -.005402 r_peak,r_snr = .2061365 51.98512 1546 .094 5046 -.063 51.98512 .003330 .006755 -.000112 r_peak,r_snr = .1814729 28.21486 1646 .094 5046 .156 28.21487 .004380 .021585 -.003213 r_peak,r_snr = .1181388 11.08141 1746 -.125 5046 -6.125 11.08141 .023097 .040714 -.007276 r_peak,r_snr = .2375952 38.25401 1846 .063 5046 .031 38.25402 .003387 .010349 -.000978 r_peak,r_snr = .2304039 33.39536 1946 .188 5046 .125 33.39536 .003575 .009219 -.000439 r_peak,r_snr = .18441 53.77737 2046 .063 5046 .000 53.77737 .003387 .008880 -.000310 At line = 5400 Reading in data.... r_peak,r_snr = .2801755 39.70223 146 -.125 5446 -.156 39.70224 .002818 .004270 -.000386 r_peak,r_snr = .2459832 67.14132 246 -.094 5446 .000 67.14133 .002248 .005545 -.000379 r_peak,r_snr = .2606448 47.09229 346 .031 5446 .063 47.09230 .002348 .004734 -.000154 r_peak,r_snr = .2319973 17.88631 446 -.063 5446 -.219 17.88631 .003810 .014471 -.000730 r_peak,r_snr = .2364578 42.42135 546 .031 5446 .188 42.42135 .003649 .006237 -.001049 r_peak,r_snr = .304592 8.34593 646 .063 5446 .156 8.34593 .002986 .010182 -.001861 r_peak,r_snr = .2435827 11.95522 746 .031 5446 .094 11.95522 .004630 .015366 -.000656 r_peak,r_snr = .1633893 25.40058 846 -.156 5446 -.219 25.40058 .010611 .011466 -.001959 r_peak,r_snr = .2931729 29.39431 946 .094 5446 -.219 29.39432 .002411 .007498 -.000651 r_peak,r_snr = .3048003 48.03413 1046 -.063 5446 .063 48.03413 .001773 .004190 -.000042 r_peak,r_snr = .290825 68.28572 1146 .156 5446 -.063 68.28572 .001827 .005210 -.000441 r_peak,r_snr = .3348853 85.47274 1246 .125 5446 -.031 85.47275 .001467 .003184 -.000102 r_peak,r_snr = .2622621 57.64788 1346 .125 5446 .063 57.64789 .002397 .006322 -.000479 r_peak,r_snr = .2045622 27.01021 1446 -.063 5446 .094 27.01021 .003492 .011309 -.001406 r_peak,r_snr = .1358807 24.80318 1546 .031 5446 -.031 24.80318 .008052 .019696 -.003157 r_peak,r_snr = .1512293 28.60045 1646 .250 5446 .000 28.60045 .005450 .014309 -.000183 r_peak,r_snr = .1426048 20.46191 1746 .000 5446 -.344 20.46192 .007667 .124030 -.005106 r_peak,r_snr = .1811956 38.04313 1846 -.031 5446 -.063 38.04314 .004694 .022488 -.001537 r_peak,r_snr = 8.59503E-02 14.92235 1946 -2.063 5446 -3.500 14.92236 .008044 .026802 .001534 r_peak,r_snr = .2049016 42.85679 2046 -.063 5446 .063 42.85679 .002625 .009344 -.000793 At line = 5800 Reading in data.... r_peak,r_snr = .257338 39.86457 146 .031 5846 .063 39.86457 .002553 .006532 -.000028 r_peak,r_snr = .2808424 10.43039 246 -.063 5846 .156 10.43039 .003701 .006315 -.000339 r_peak,r_snr = .3366903 48.35285 346 .031 5846 .094 48.35285 .001740 .003214 -.000251 r_peak,r_snr = .2765626 23.75303 446 .031 5846 .000 23.75304 .002922 .003324 -.000560 r_peak,r_snr = .2354335 41.13011 546 -.094 5846 .063 41.13011 .003166 .007075 -.000427 r_peak,r_snr = .2232252 31.04817 646 .031 5846 -.219 31.04818 .003029 .009846 .000458 r_peak,r_snr = .1934296 42.63798 746 -.063 5846 .063 42.63798 .003975 .011536 -.001451 r_peak,r_snr = .2378922 20.48563 846 -.125 5846 -.344 20.48563 .003390 .011215 -.001250 r_peak,r_snr = .3718121 39.85618 946 -.031 5846 -.156 39.85619 .001480 .003764 -.000289 r_peak,r_snr = .3570362 65.60199 1046 .031 5846 -.031 65.60200 .001199 .004809 -.000147 r_peak,r_snr = .2754076 41.56847 1146 .063 5846 .094 41.56847 .002113 .004833 -.000232 r_peak,r_snr = .3157961 86.26316 1246 .094 5846 .031 86.26316 .001560 .003628 -.000214 r_peak,r_snr = .2449984 43.2283 1346 -.063 5846 .250 43.22830 .002690 .007940 -.000024 r_peak,r_snr = .2471403 53.74288 1446 -.063 5846 -.063 53.74288 .002766 .007748 -.000809 r_peak,r_snr = .1578127 14.58145 1546 -.281 5846 -.125 14.58146 .010698 .018318 .001667 r_peak,r_snr = .1319083 24.51485 1646 -.063 5846 .031 24.51486 .010121 .014693 .000206 r_peak,r_snr = .1273114 24.2938 1746 -.094 5846 .344 24.29381 .014723 .029471 -.005447 r_peak,r_snr = .1356442 25.96678 1846 -.031 5846 .000 25.96679 .007711 .023081 -.000402 r_peak,r_snr = .2049259 46.16709 1946 -.063 5846 -.031 46.16709 .003891 .007589 -.000286 r_peak,r_snr = .2037629 46.1396 2046 -.031 5846 -.219 46.13961 .002987 .014881 -.001162 ************************************************* ***** Integrated AIRSAR Processor ***** ***** ***** ***** Radiometric Calibration Program ***** ***** ***** ************************************************* ***** ***** ***** This program performs the following ***** ***** calibrations: ***** ***** ***** ***** (1) Phase calibration ***** ***** (2) Cross-talk removal ***** ***** (3) Antenna pattern removal ***** ***** (4) Scattering area removal ***** ***** ***** ***** If available, the topography is used ***** ***** when removing antenna patterns and ***** ***** scattering areas. In all cases, the ***** ***** aircraft roll is taken into account ***** ***** when the antenna pattern is removed. ***** ***** ***** ************************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of the calibration file. 8 scanning calib for 92001 to 92999 block= 1 94050 12.00 6.00 12.00 0.79 0.24 -1.44 138.01 127.69 0.00 83.47 77.13 0.00 7.94 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 138.01 127.69 0.00 83.47 77.13 0.00 -53.66 0.00 0.00 0.00 83.15 scanning calib for 93001 to 93999 block= 2 94050 12.00 6.00 12.00 0.79 0.24 -1.44 132.537 1 122.870 1 78.937 87.40 81.00 94.30 -0.64 1 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 135.228 1 121.395 1 80.237 84.80 76.10 90.50 56.25 0.00 0.00 0.00 75.574 scanning calib for 94001 to 94999 block= 3 94050 FOUND CALIB SET 94050 12.0 11.0 12.0 11.0 0.79 0.24 -1.44 .0 -1.44 .0 132.945 1 125.236 1 84.35199 84.86499 84.35199 84.86499 87.90 82.70 95.3 95.9 95.4 95.9 139.46 -77.87 70.382 0.00 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: 94.9 -193.092 -191.765 -193.192 -191.765 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: 94.90 deg Receiver phase difference is -26.50 deg Transmitter phase difference is 68.40 deg Cable phase difference is 70.38 deg Reading data to estimate cross-talk. 256 512 768 1024 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 1024 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 rm: /data12/airops/hd5279.log non-existent Mon May 4 18:45:39 PDT 1998 Mon May 4 18:45:39 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 19:46:48 IDR=175050 FC=3,090,870 drft 5.3; still quite cal m; AFC shows strong C-band image, signals look good; Sony-B is p erforming extremely well; 6 SVs, looking good no photo; AFC has good image, loss of signal in far rangeWilliam Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94050 94050 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5279 prod ID1:*5279*5279* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94050 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.40 4 5 20 25 16 24 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 4 5 20 25 16 24 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171561666.3250 -171561617.3580 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 lati 53.92954 53.88468 53.97446 .0258754 0 loni -104.57729 -104.60323 -104.55139 .0149339 0 latd 53.93213 53.88667 53.97667 .0259689 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8133.52979 8137.93994 .9055493 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171561666.324414 -171561666.325 GPS trend coefficients = .7098400378532211 -1.12831860781332 -.433381438308106 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 delx .25720 .25714 .25722 .0000159 0 lati 53.92954 53.88502 53.97411 .0258735 0 loni -104.57729 -104.60306 -104.55173 .0149325 0 latd 53.93213 53.88833 53.97667 .0259645 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8134.19374 8137.24072 .7845752 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00101 -.14701 .12845 .0385394 0 ca -.00194 -.07870 .07990 .0236201 0 aa -.02390 -.07870 .01073 .0166425 0 Average Barometric Altitude = 7960.03011750001 Average Radar Altitude = 7738.162863749986 Average GPS Altitude = 8135.311413574211 >>Record # : 64 >>GPS Stuff = 2.40 4 5 20 25 1 >>Record # : 40960 >>GPS Stuff = 2.30 4 5 20 25 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.222556321110459E-04 Standard deviation of difference = 2.888139101656679E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9152718 -104.5525436 8134.242 End position = 53.9610405 -104.5790634 8136.083 Loxodromic Heading (deg) = -18.8746681 Loxodromic Distance (km) = 5383.7279808 Geodesic Heading (deg) = -18.8639520 Geodesic Distance (km) = 5383.7279227 Peg latitude and longitude = 53.9390755 -104.5663300 Peg heading = -18.8731285 Rotation matrix First row = -.148044637 -.120695890 -.981588146 Second row = -.569724431 .821696898 -.015108976 Third row = .808391525 .556997945 -.190411216 Translation vector Vector = -1974.54077 -7598.68199 -23810.28891 Local Radius of Curvature = 6378796.871385548 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2584920062498386 Delta s on reference surface = .2584920075067438 Making fits... Vertical fit coefficients = 8137.172503012387 -.312584144286802 2.810927100307836E-03 Cross track fit coefficients = -1.64586161974259 .2074132046879417 -8.194418704394591E-04 Along track fit coefficients = -5374.05224424683 215.9775614947665 2.280577542878248E-03 Miscellaneous Information Start range = 8304.25225 Start ground range = 3013.542919175147 Time orgin = -171561666.324414 Pulse spacing = .2572018616529277 First frame = 3730445 Thank you for your patronage Enter the name of the motion compensation file. Name of the H-pol motion compensation file? Name of the V-pol motion compensation file? How many lines per polarization? ********************************************* * * * AIRSAR INTEGRATED PROCESSOR * * * * CALTONE ESTIMATOR * * * * This program estimates the CALTONE amp- * * litude and phase and writes the result * * into the parameter header. * * * ********************************************* Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) LHH Enter the paramater file name. /data3/airops/cm5279_l.par Enter the raw data file name. /data2/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5279_l.mocomph Enter a file name for the range spectrum: /data2/airops/db_l_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-23.9431,.0) (-17.9574,.0) (45.89103,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 34694.96 Pulse#/64: 65 1073 39200.62 Pulse#/64: 129 1073 22764.42 Pulse#/64: 193 1073 27959.61 Pulse#/64: 257 1073 39121.73 Estimate Caltone : 1156 -----CalTone Estimate Position --- CalTone Bin at : 1156 1073 CalTone Bin offset : -83 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.77773Power RMS: 1.78351 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 197.9817Amp. RMS: 33.59943 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -55.5587Phase RMS: 247.7535 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.94567 CalTone Power Coherently dB : 45.77773 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.94567 Incoherent PW - Coherent PW : 36.16794 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12483.96 CalTone Amplitude Coherently : 197.9817 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12285.98 ------------ *** ------------ running time (sec): 66.95 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) LHV Enter the paramater file name. /data3/airops/cm5279_l.par Enter the raw data file name. /data2/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5279_l.mocompv Enter a file name for the range spectrum: /data2/airops/db_l_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (28.0,.0) (-27.0,.0) (31.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 36002.17 Pulse#/64: 65 1073 39874.34 Pulse#/64: 129 1073 36991.39 Pulse#/64: 193 1073 48567.52 Pulse#/64: 257 1073 36854.28 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.08823Power RMS: 1.1482 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 203.5332Amp. RMS: 32.29847 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 69.90812Phase RMS: 236.2588 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.14702 CalTone Power Coherently dB : 46.08823 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.14702 Incoherent PW - Coherent PW : 36.05879 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12822.3 CalTone Amplitude Coherently : 203.5332 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12618.77 ------------ *** ------------ running time (sec): 64.87 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) LVH Enter the paramater file name. /data3/airops/cm5279_l.par Enter the raw data file name. /data2/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5279_l.mocomph Enter a file name for the range spectrum: /data2/airops/db_l_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (42.0,.0) (-34.0,.0) (25.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 33666.76 Pulse#/64: 65 1073 34372.66 Pulse#/64: 129 1073 34397.03 Pulse#/64: 193 1073 41919.31 Pulse#/64: 257 1073 29744.54 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.80492Power RMS: .7970281 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 196.0157Amp. RMS: 21.89918 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -70.6252Phase RMS: 263.4895 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.90205 CalTone Power Coherently dB : 45.80492 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.90205 Incoherent PW - Coherent PW : 36.09712 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12467.7 CalTone Amplitude Coherently : 196.0157 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12271.69 ------------ *** ------------ running time (sec): 66.58 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) LVV Enter the paramater file name. /data3/airops/cm5279_l.par Enter the raw data file name. /data2/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5279_l.mocompv Enter a file name for the range spectrum: /data2/airops/db_l_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (69.83418,.0) (.0,.0) (51.87682,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 41967.26 Pulse#/64: 65 1073 31130.26 Pulse#/64: 129 1073 44789.56 Pulse#/64: 193 1073 41839.47 Pulse#/64: 257 1073 43346.92 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.15714Power RMS: 1.54316 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 207.2177Amp. RMS: 54.39859 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 26.33567Phase RMS: 256.7052 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.24063 CalTone Power Coherently dB : 46.15714 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.24063 Incoherent PW - Coherent PW : 36.08349 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12957.78 CalTone Amplitude Coherently : 207.2177 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12750.56 ------------ *** ------------ running time (sec): 66.60 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.13313 5.07206E-05 z fit: constant and linear terms: -1.86158 1.19075E-08 y and z standard deviations (meters) .2228771 .7452831 Enter the name of the global line file. Enter the name of the motion compensation file. Enter the number of lines in the mocomp file & first one. Enter the patch size and the max reference fnc length. Enter the maximum Doppler error. Enter the doppler file name. Enter the wavelength and nominal azimuth pixel spacing Initial guess at number of patches = 4 Step size = 3492 PATCH NUMER 1 First line = 1 Averages = 6.31443E-02 6.57102E-02 6.57258E-02 6.19868E-02 Differences = -9.97528E-04 1.56842E-03 1.58405E-03 -2.15497E-03 PATCH NUMER 2 First line = 3493 Averages = 6.63750E-02 6.30974E-02 6.01243E-02 5.99687E-02 Differences = 3.98364E-03 7.06021E-04 -2.26706E-03 -2.42268E-03 PATCH NUMER 3 First line = 6985 Averages = 6.07619E-02 5.99911E-02 6.06479E-02 6.30138E-02 Differences = -3.41814E-04 -1.11258E-03 -4.55733E-04 1.91014E-03 PATCH NUMER 4 First line = 10477 Averages = 6.02845E-02 6.23109E-02 6.37976E-02 6.38220E-02 Differences = -2.26925E-03 -2.42867E-04 1.24384E-03 1.26825E-03 PATCH NUMER 5 First line = 13969 Averages = 6.36894E-02 6.34440E-02 6.54269E-02 6.77024E-02 Differences = -1.37623E-03 -1.62169E-03 3.61241E-04 2.63671E-03 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.lp Please enter the name of the parameter file /data3/airops/cm5279_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_hh Name of the mocomp data file? /data3/airops/cm5279_l.mocomph Output file name? /data3/airops/cm5279_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lh xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.425 Processing 5 blocks Processing block number 1 reference line: 4096 2.425 seconds. Range compression done, time = 122.131 Motion comp. coeff. calculated, time = 122.221 Motion comp. added to patch, time = 214.578 Doppler estimation done, time = 214.587 Azimuth compression starting, time : 214.705 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 595.584 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 618.595 seconds. Range compression done, time = 724.930 Motion comp. coeff. calculated, time = 725.048 Motion comp. added to patch, time = 801.093 Doppler estimation done, time = 801.093 Azimuth compression starting, time : 801.209 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1212.715 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1232.006 seconds. Range compression done, time = 1339.201 Motion comp. coeff. calculated, time = 1340.040 Motion comp. added to patch, time = 1418.570 Doppler estimation done, time = 1418.570 Azimuth compression starting, time : 1418.700 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1832.742 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1852.835 seconds. Range compression done, time = 1959.400 Motion comp. coeff. calculated, time = 1959.475 Motion comp. added to patch, time = 2035.296 Doppler estimation done, time = 2035.296 Azimuth compression starting, time : 2035.435 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2453.908 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2474.584 seconds. Range compression done, time = 2580.274 Motion comp. coeff. calculated, time = 2580.450 Motion comp. added to patch, time = 2656.189 Doppler estimation done, time = 2656.189 Azimuth compression starting, time : 2656.316 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3076.413 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_l.hh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_l.hh Name of the doppler parameter file? /data3/airops/cm5279_l.dop Name of the deskew file? /data3/airops/deskew.lh Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5279_l.hh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.lp Please enter the name of the parameter file /data3/airops/cm5279_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_hv Name of the mocomp data file? /data3/airops/cm5279_l.mocomph Output file name? /data3/airops/cm5279_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lh xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.684 Processing 5 blocks Processing block number 1 reference line: 4096 2.684 seconds. Range compression done, time = 82.239 Motion comp. coeff. calculated, time = 82.314 Motion comp. added to patch, time = 162.408 Doppler estimation done, time = 162.408 Azimuth compression starting, time : 162.528 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 539.841 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 561.195 seconds. Range compression done, time = 635.612 Motion comp. coeff. calculated, time = 635.700 Motion comp. added to patch, time = 711.316 Doppler estimation done, time = 711.316 Azimuth compression starting, time : 711.447 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1089.258 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1105.730 seconds. Range compression done, time = 1181.078 Motion comp. coeff. calculated, time = 1181.357 Motion comp. added to patch, time = 1257.714 Doppler estimation done, time = 1257.715 Azimuth compression starting, time : 1257.838 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1635.188 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1655.837 seconds. Range compression done, time = 1730.644 Motion comp. coeff. calculated, time = 1730.905 Motion comp. added to patch, time = 1807.007 Doppler estimation done, time = 1807.007 Azimuth compression starting, time : 1807.142 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2184.073 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2204.647 seconds. Range compression done, time = 2279.045 Motion comp. coeff. calculated, time = 2279.293 Motion comp. added to patch, time = 2355.536 Doppler estimation done, time = 2355.536 Azimuth compression starting, time : 2355.653 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2732.453 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_l.hv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_l.hv Name of the doppler parameter file? /data3/airops/cm5279_l.dop Name of the deskew file? /data3/airops/deskew.lh Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5279_l.hv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.lp Please enter the name of the parameter file /data3/airops/cm5279_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_vh Name of the mocomp data file? /data3/airops/cm5279_l.mocompv Output file name? /data3/airops/cm5279_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.496 Processing 5 blocks Processing block number 1 reference line: 4096 2.496 seconds. Range compression done, time = 83.008 Motion comp. coeff. calculated, time = 83.084 Motion comp. added to patch, time = 162.183 Doppler estimation done, time = 162.183 Azimuth compression starting, time : 162.310 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 541.860 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 563.276 seconds. Range compression done, time = 638.587 Motion comp. coeff. calculated, time = 638.664 Motion comp. added to patch, time = 715.479 Doppler estimation done, time = 715.480 Azimuth compression starting, time : 715.613 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1094.315 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1110.314 seconds. Range compression done, time = 1186.043 Motion comp. coeff. calculated, time = 1186.332 Motion comp. added to patch, time = 1262.665 Doppler estimation done, time = 1262.665 Azimuth compression starting, time : 1262.811 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1641.894 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1661.965 seconds. Range compression done, time = 1737.174 Motion comp. coeff. calculated, time = 1737.398 Motion comp. added to patch, time = 1813.725 Doppler estimation done, time = 1813.725 Azimuth compression starting, time : 1813.859 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2192.150 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2212.673 seconds. Range compression done, time = 2287.117 Motion comp. coeff. calculated, time = 2287.337 Motion comp. added to patch, time = 2363.456 Doppler estimation done, time = 2363.457 Azimuth compression starting, time : 2363.581 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2741.680 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_l.vh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_l.vh Name of the doppler parameter file? /data3/airops/cm5279_l.dop Name of the deskew file? /data3/airops/deskew.lv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5279_l.vh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.lp Please enter the name of the parameter file /data3/airops/cm5279_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_vv Name of the mocomp data file? /data3/airops/cm5279_l.mocompv Output file name? /data3/airops/cm5279_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.288 Processing 5 blocks Processing block number 1 reference line: 4096 2.288 seconds. Range compression done, time = 113.994 Motion comp. coeff. calculated, time = 114.070 Motion comp. added to patch, time = 193.676 Doppler estimation done, time = 193.677 Azimuth compression starting, time : 193.793 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 573.602 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 594.987 seconds. Range compression done, time = 700.982 Motion comp. coeff. calculated, time = 701.057 Motion comp. added to patch, time = 777.403 Doppler estimation done, time = 777.403 Azimuth compression starting, time : 777.535 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1184.170 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1199.950 seconds. Range compression done, time = 1306.797 Motion comp. coeff. calculated, time = 1307.038 Motion comp. added to patch, time = 1383.175 Doppler estimation done, time = 1383.175 Azimuth compression starting, time : 1383.302 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1797.647 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1817.926 seconds. Range compression done, time = 1924.809 Motion comp. coeff. calculated, time = 1925.006 Motion comp. added to patch, time = 2000.804 Doppler estimation done, time = 2000.805 Azimuth compression starting, time : 2000.943 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2417.741 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2438.344 seconds. Range compression done, time = 2544.075 Motion comp. coeff. calculated, time = 2544.253 Motion comp. added to patch, time = 2620.510 Doppler estimation done, time = 2620.510 Azimuth compression starting, time : 2620.627 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3038.976 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_l.vv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_l.vv Name of the doppler parameter file? /data3/airops/cm5279_l.dop Name of the deskew file? /data3/airops/deskew.lv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5279_l.vv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. Enter single look lines filename: Enter single look image filename: Enter output lines filename: Enter number of looks: Multi-looking lines.dat file... Total number of lines written to output file: 1014 *************************************** ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Multi-look Program ***** ***** ***** *************************************** Enter the name of the Shh input file. Enter the name of the complex HV file. Enter the name of the complex VH file. Enter the name of the complex VV file. Calculating the ratio of HV and VH.... Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the number of looks in azimuth. writing parhead writing parhead 0 writing parhead 94050 writing parheadL writing parhead 20.0 writing parhead 82.09999 writing parhead 81.9 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.10444 -8.31704 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .017 .058 .049 .112 .331 .314 .058 .012 .001 .075 .089 .045 .124 .476 .506 .150 .025 .000 .050 .069 .061 .218 .648 .527 .176 .038 .006 .019 .024 .071 .358 .866 .539 .159 .023 .039 .010 .000 .034 .334 1.000 .684 .165 .010 .042 .001 .007 .008 .204 .898 .782 .192 .013 .003 .002 .008 .012 .175 .615 .583 .200 .030 .003 .002 .000 .018 .217 .401 .297 .169 .053 .004 .006 .005 .007 .158 .300 .145 .117 .059 .001 r_peak,r_snr = .1575638 11.05284 Correlation Surface of oversamples image at 146 3046 .001 .084 .356 .669 .712 .487 .254 .126 .053 .000 .087 .378 .720 .760 .501 .256 .133 .061 .001 .066 .359 .756 .848 .578 .298 .154 .071 .012 .033 .303 .755 .941 .696 .373 .185 .082 .032 .011 .235 .715 1.000 .820 .471 .231 .102 .043 .002 .169 .614 .955 .872 .550 .280 .133 .034 .001 .118 .460 .774 .784 .554 .305 .160 .012 .005 .091 .310 .532 .592 .474 .293 .170 .001 .016 .082 .201 .318 .375 .344 .243 .158 146 .563 3046 -.375 11.05284 .020577 .301909 -.044168 Correlation Surface at 246 3046 .145 .267 .334 .415 .541 .651 .680 .485 .190 .186 .278 .392 .508 .556 .529 .434 .315 .159 .200 .296 .468 .621 .628 .505 .366 .266 .170 .203 .330 .501 .744 .869 .695 .435 .261 .167 .183 .336 .443 .701 1.000 .873 .517 .268 .180 .155 .310 .351 .462 .760 .786 .518 .293 .238 r_peak,r_snr = .2182683 5.0083 Correlation Surface of oversamples image at 246 3046 .331 .373 .395 .411 .408 .360 .266 .174 .112 .377 .446 .503 .543 .538 .468 .338 .210 .125 .389 .497 .620 .720 .736 .645 .465 .279 .154 .354 .487 .680 .865 .928 .826 .599 .354 .184 .294 .417 .634 .877 1.000 .918 .679 .404 .206 .236 .317 .494 .735 .901 .876 .678 .424 .224 .191 .219 .325 .514 .691 .728 .607 .410 .235 .160 .147 .192 .318 .478 .560 .515 .381 .237 .143 .108 .116 .195 .328 .436 .444 .355 .233 246 .031 3046 12.969 5.00830 .046793 .060749 -.025443 Correlation Surface at 346 3046 .193 .153 .098 .328 .567 .254 .053 .005 .001 .170 .272 .155 .315 .452 .257 .139 .001 .000 .042 .194 .207 .404 .537 .177 .096 .001 .019 .005 .077 .249 .549 .816 .164 .001 .021 .059 .009 .072 .351 .607 1.000 .252 .009 .033 .011 .033 .124 .477 .665 .887 .284 .000 .005 .003 .089 .153 .486 .764 .725 .174 .002 .001 .006 .121 .215 .434 .734 .488 .054 .001 .001 .002 .042 .230 .362 .559 .255 .002 .032 .005 .002 r_peak,r_snr = .1156216 10.08081 Correlation Surface of oversamples image at 346 3046 .168 .145 .206 .294 .309 .273 .277 .322 .297 .201 .203 .304 .444 .479 .400 .316 .276 .222 .237 .288 .443 .638 .692 .542 .329 .184 .100 .278 .385 .583 .818 .890 .674 .334 .109 .022 .319 .467 .668 .910 1.000 .757 .336 .067 .000 .354 .514 .675 .877 .968 .747 .319 .044 .003 .387 .537 .631 .753 .811 .634 .268 .029 .009 .408 .546 .585 .623 .619 .469 .193 .017 .013 .421 .558 .577 .556 .490 .336 .129 .009 .010 346 -.094 3046 -3.344 10.08081 .019175 .322945 -.007172 Correlation Surface at 446 3046 .008 .133 .000 .032 .034 .513 .491 .000 .065 .004 .268 .042 .002 .029 .180 .272 .007 .002 .001 .191 .140 .028 .074 .015 .048 .004 .022 .003 .079 .151 .163 .467 .025 .018 .011 .043 .006 .029 .147 .409 1.000 .144 .096 .109 .073 .022 .001 .117 .500 .649 .183 .279 .378 .112 .135 .161 .026 .388 .176 .083 .311 .371 .050 .269 .415 .010 .371 .143 .019 .215 .137 .019 .169 .265 .029 .466 .255 .005 .065 .032 .184 r_peak,r_snr = 7.19300E-02 6.06822 Correlation Surface of oversamples image at 446 3046 .245 .129 .090 .111 .105 .037 .001 .008 .016 .173 .133 .161 .273 .316 .170 .030 .000 .011 .120 .144 .260 .505 .643 .418 .121 .008 .001 .093 .163 .357 .713 .925 .649 .227 .036 .003 .086 .192 .429 .801 1.000 .712 .272 .063 .019 .093 .229 .464 .753 .858 .602 .251 .081 .044 .095 .258 .464 .629 .626 .429 .215 .108 .082 .075 .254 .430 .498 .422 .279 .186 .149 .136 .033 .203 .372 .400 .287 .172 .148 .176 .179 446 -10.031 3046 3.406 6.06822 .027579 .090093 .001154 Correlation Surface at 546 3046 .269 .459 .581 .745 .805 .550 .362 .263 .178 .257 .361 .494 .748 .879 .622 .333 .208 .179 .244 .263 .410 .728 .901 .695 .375 .190 .173 .269 .278 .425 .734 .953 .767 .445 .225 .183 .314 .398 .561 .797 1.000 .802 .486 .271 .208 .328 .494 .693 .847 .943 .778 .508 .286 .218 .311 .466 .694 .832 .830 .683 .508 .312 .244 .308 .439 .645 .809 .810 .626 .484 .375 .321 .334 .496 .671 .877 .865 .642 .468 .403 .373 r_peak,r_snr = .3153984 3.58133 Correlation Surface of oversamples image at 546 3046 .434 .598 .772 .872 .866 .773 .623 .462 .322 .418 .595 .793 .913 .917 .829 .676 .498 .336 .417 .597 .807 .947 .962 .876 .718 .526 .348 .439 .611 .818 .970 .994 .903 .735 .535 .352 .482 .635 .825 .975 1.000 .901 .726 .528 .350 .543 .671 .829 .958 .975 .874 .706 .522 .359 .611 .709 .825 .919 .923 .831 .685 .529 .384 .666 .737 .807 .859 .850 .774 .662 .540 .417 .694 .743 .776 .789 .768 .709 .629 .542 .445 546 -.156 3046 -.750 3.58133 .019427 .237633 .019542 Correlation Surface at 646 3046 .598 .720 .770 .773 .723 .722 .710 .611 .510 .613 .730 .825 .873 .832 .747 .694 .582 .517 .686 .771 .856 .962 .961 .763 .681 .592 .542 .708 .801 .824 .936 1.000 .776 .705 .664 .590 .680 .787 .748 .806 .927 .786 .732 .724 .621 .667 .768 .701 .700 .811 .771 .691 .680 .591 .651 .785 .739 .696 .743 .730 .631 .609 .553 .607 .777 .805 .746 .713 .700 .631 .604 .551 r_peak,r_snr = .462203 1.85059 Correlation Surface of oversamples image at 646 3046 .781 .804 .842 .863 .844 .792 .746 .722 .688 .806 .836 .889 .926 .907 .832 .757 .722 .697 .815 .850 .916 .972 .961 .872 .774 .732 .719 .808 .841 .914 .988 .994 .906 .798 .751 .751 .789 .813 .884 .971 1.000 .930 .825 .776 .785 .765 .776 .835 .924 .976 .938 .849 .799 .805 .746 .744 .785 .865 .932 .928 .863 .811 .804 .742 .728 .752 .817 .883 .900 .858 .805 .777 .750 .728 .739 .784 .839 .860 .830 .775 .731 646 1.844 3046 -11.781 1.85059 .013695 .069892 -.014354 Correlation Surface at 746 3046 .009 .047 .080 .006 .132 .067 .002 .003 .002 .019 .065 .046 .000 .118 .103 .001 .000 .001 .007 .026 .007 .040 .233 .170 .017 .001 .005 .001 .001 .007 .230 .597 .242 .034 .008 .020 .003 .021 .080 .520 1.000 .286 .045 .022 .015 .019 .018 .171 .610 .975 .245 .025 .020 .003 .018 .026 .187 .404 .590 .151 .001 .011 .000 .000 .098 .166 .188 .251 .061 .000 .024 .009 .011 .190 .155 .108 .135 .034 .003 .069 .052 r_peak,r_snr = .1563965 19.07617 Correlation Surface of oversamples image at 746 3046 .002 .008 .090 .247 .354 .349 .271 .139 .036 .005 .045 .200 .445 .565 .484 .335 .179 .063 .034 .116 .346 .664 .778 .602 .369 .195 .083 .079 .207 .499 .850 .933 .667 .363 .180 .084 .121 .293 .621 .965 1.000 .671 .324 .140 .063 .142 .331 .657 .966 .964 .614 .258 .083 .028 .137 .304 .588 .856 .842 .512 .181 .034 .004 .124 .243 .459 .679 .673 .395 .117 .009 .000 .116 .181 .319 .480 .487 .282 .074 .002 .004 746 -.219 3046 .656 19.07617 .011167 .077857 .009887 Correlation Surface at 846 3046 .023 .020 .014 .265 .380 .162 .034 .019 .040 .029 .005 .040 .398 .581 .235 .055 .019 .015 .028 .002 .067 .535 .798 .327 .088 .029 .003 .018 .001 .066 .584 .961 .373 .102 .046 .007 .013 .001 .058 .534 1.000 .363 .071 .034 .022 .018 .000 .058 .418 .845 .340 .041 .009 .027 .019 .000 .058 .305 .577 .292 .038 .002 .020 .010 .000 .059 .266 .418 .221 .043 .008 .022 .006 .000 .057 .288 .401 .169 .036 .019 .023 r_peak,r_snr = .3106672 16.20771 Correlation Surface of oversamples image at 846 3046 .085 .258 .534 .759 .767 .582 .339 .158 .059 .100 .293 .607 .864 .863 .640 .369 .177 .073 .108 .309 .645 .936 .938 .682 .386 .188 .085 .107 .302 .643 .961 .983 .708 .391 .188 .087 .101 .282 .611 .946 1.000 .725 .390 .180 .079 .095 .260 .566 .905 .996 .739 .391 .170 .066 .092 .241 .517 .844 .969 .747 .398 .165 .056 .094 .231 .470 .764 .908 .732 .399 .163 .050 .100 .229 .430 .674 .813 .682 .386 .160 .048 846 -.188 3046 -1.750 16.20772 .003079 .071804 -.002711 Correlation Surface at 946 3046 .023 .044 .042 .086 .639 .335 .164 .208 .171 .012 .070 .092 .055 .558 .362 .210 .208 .204 .003 .112 .123 .069 .496 .274 .166 .131 .101 .017 .132 .074 .169 .712 .200 .084 .072 .032 .002 .108 .046 .219 1.000 .236 .046 .034 .013 .010 .058 .058 .124 .814 .282 .054 .024 .021 .040 .024 .049 .057 .394 .224 .081 .050 .072 .062 .013 .020 .048 .224 .176 .078 .064 .113 .088 .004 .006 .043 .232 .288 .109 .033 .057 r_peak,r_snr = .1356773 10.79871 Correlation Surface of oversamples image at 946 3046 .157 .021 .062 .304 .352 .210 .111 .068 .052 .103 .005 .121 .478 .519 .243 .072 .025 .019 .063 .000 .183 .662 .734 .318 .058 .006 .003 .039 .001 .215 .770 .912 .420 .068 .002 .000 .027 .003 .213 .775 1.000 .529 .111 .009 .002 .023 .002 .190 .699 .968 .601 .179 .037 .018 .027 .001 .156 .581 .832 .588 .238 .084 .056 .034 .000 .114 .452 .654 .507 .258 .127 .097 .046 .003 .071 .337 .511 .428 .259 .152 .118 946 -.094 3046 .531 10.79871 .007654 .089639 -.003702 Correlation Surface at 1046 3046 .000 .027 .208 .403 .532 .428 .241 .068 .005 .004 .001 .110 .464 .559 .371 .164 .042 .006 .001 .011 .035 .413 .520 .217 .088 .044 .017 .001 .003 .025 .420 .684 .195 .048 .048 .026 .008 .008 .063 .584 1.000 .244 .025 .028 .015 .048 .093 .162 .733 .984 .175 .010 .013 .005 .137 .223 .256 .590 .601 .083 .008 .014 .008 .219 .239 .198 .329 .334 .077 .019 .037 .038 .252 .163 .063 .146 .236 .130 .049 .086 .111 r_peak,r_snr = .190093 10.54049 Correlation Surface of oversamples image at 1046 3046 .013 .080 .235 .413 .473 .368 .218 .130 .100 .011 .074 .250 .502 .627 .484 .251 .120 .082 .014 .084 .289 .618 .813 .627 .298 .117 .067 .024 .107 .345 .732 .959 .727 .326 .110 .053 .044 .142 .405 .803 1.000 .726 .308 .093 .038 .075 .182 .452 .808 .924 .626 .247 .066 .023 .110 .219 .474 .762 .791 .494 .182 .044 .013 .134 .237 .461 .683 .660 .392 .140 .032 .008 .132 .216 .399 .572 .547 .330 .124 .030 .006 1046 -.031 3046 .438 10.54049 .007544 .083663 .007843 Correlation Surface at 1146 3046 .010 .008 .002 .057 .145 .118 .146 .093 .035 .007 .019 .010 .091 .152 .014 .035 .115 .123 .001 .023 .012 .177 .332 .034 .013 .073 .153 .001 .019 .002 .315 .808 .276 .049 .032 .129 .005 .011 .003 .353 1.000 .595 .155 .033 .099 .001 .002 .011 .261 .595 .382 .172 .057 .057 .000 .001 .022 .204 .292 .082 .041 .045 .017 .005 .017 .063 .202 .253 .025 .003 .006 .009 .020 .026 .119 .201 .256 .046 .009 .000 .027 r_peak,r_snr = .1986984 25.63928 Correlation Surface of oversamples image at 1146 3046 .023 .004 .108 .267 .279 .154 .053 .022 .027 .015 .012 .161 .377 .407 .239 .091 .036 .028 .004 .033 .242 .541 .626 .421 .191 .082 .044 .000 .067 .325 .701 .871 .670 .359 .170 .078 .005 .098 .365 .758 1.000 .864 .534 .283 .132 .012 .112 .338 .664 .911 .869 .615 .373 .192 .015 .101 .260 .474 .653 .672 .543 .385 .232 .013 .074 .174 .288 .376 .396 .357 .301 .222 .009 .051 .115 .173 .195 .187 .174 .172 .160 1146 .094 3046 -.406 25.63928 .008174 .024540 -.001921 Correlation Surface at 1246 3046 .008 .025 .121 .225 .315 .304 .173 .074 .072 .012 .029 .096 .205 .277 .303 .260 .159 .082 .009 .031 .066 .189 .278 .230 .179 .137 .067 .004 .043 .085 .314 .571 .277 .096 .057 .055 .007 .062 .133 .446 1.000 .421 .087 .040 .075 .022 .068 .138 .331 .824 .366 .092 .072 .099 .050 .072 .118 .171 .356 .170 .061 .084 .083 .041 .052 .100 .105 .140 .083 .027 .049 .063 .012 .024 .062 .067 .066 .072 .022 .030 .070 r_peak,r_snr = .2072833 15.4377 Correlation Surface of oversamples image at 1246 3046 .034 .091 .188 .259 .250 .184 .116 .079 .068 .048 .125 .288 .452 .473 .337 .170 .076 .044 .066 .160 .387 .675 .768 .559 .258 .090 .037 .080 .176 .426 .799 .989 .756 .347 .112 .044 .087 .167 .381 .748 1.000 .816 .387 .129 .057 .087 .140 .285 .565 .808 .705 .355 .127 .067 .086 .111 .188 .361 .546 .512 .276 .106 .066 .087 .093 .122 .211 .332 .338 .197 .079 .053 .082 .081 .084 .122 .194 .219 .139 .054 .033 1246 .031 3046 .281 15.43771 .006576 .021390 -.000675 Correlation Surface at 1346 3046 .073 .030 .010 .127 .231 .137 .030 .003 .000 .065 .043 .007 .141 .274 .187 .033 .000 .007 .060 .052 .004 .197 .399 .266 .053 .000 .021 .052 .045 .003 .287 .691 .443 .100 .002 .024 .041 .032 .002 .319 1.000 .683 .157 .006 .019 .038 .031 .000 .264 .985 .708 .155 .001 .018 .041 .034 .000 .188 .728 .547 .107 .001 .023 .037 .025 .000 .143 .532 .431 .080 .003 .026 .026 .017 .000 .097 .411 .409 .101 .000 .020 r_peak,r_snr = .3409295 15.64847 Correlation Surface of oversamples image at 1346 3046 .000 .045 .204 .412 .510 .436 .293 .167 .068 .000 .060 .258 .529 .672 .587 .399 .232 .104 .000 .071 .302 .640 .846 .763 .526 .305 .142 .001 .072 .316 .700 .971 .912 .641 .369 .170 .000 .062 .293 .687 1.000 .978 .701 .399 .176 .000 .047 .247 .612 .930 .942 .687 .385 .159 .001 .032 .199 .515 .805 .836 .618 .340 .128 .002 .023 .162 .430 .679 .715 .535 .289 .097 .002 .018 .138 .371 .584 .618 .466 .246 .073 1346 .219 3046 -.531 15.64848 .002976 .020903 -.002052 Correlation Surface at 1446 3046 .018 .001 .001 .035 .216 .278 .206 .164 .071 .029 .020 .001 .050 .254 .289 .214 .194 .170 .046 .045 .002 .118 .438 .377 .220 .169 .202 .063 .072 .003 .199 .787 .604 .280 .176 .184 .081 .092 .005 .225 1.000 .783 .323 .161 .147 .070 .076 .003 .169 .801 .676 .306 .119 .081 .025 .039 .004 .094 .511 .485 .256 .090 .030 .002 .023 .015 .041 .375 .399 .184 .065 .016 .000 .026 .037 .006 .264 .327 .115 .040 .021 r_peak,r_snr = .2264205 10.41826 Correlation Surface of oversamples image at 1446 3046 .011 .075 .201 .342 .425 .410 .344 .265 .186 .014 .109 .299 .502 .603 .554 .434 .317 .219 .017 .144 .410 .692 .813 .719 .533 .371 .254 .019 .166 .490 .833 .972 .842 .601 .403 .273 .019 .169 .502 .859 1.000 .864 .612 .404 .268 .017 .151 .448 .770 .899 .786 .572 .383 .250 .013 .119 .354 .612 .721 .647 .497 .347 .226 .009 .087 .262 .459 .547 .505 .412 .307 .204 .004 .060 .195 .351 .424 .397 .337 .266 .184 1446 .500 3046 -.156 10.41826 .006139 .037856 -.001512 Correlation Surface at 1546 3046 .189 .181 .224 .386 .608 .530 .361 .329 .252 .243 .180 .213 .368 .528 .476 .373 .324 .266 .231 .161 .190 .387 .576 .502 .446 .396 .317 .197 .166 .205 .474 .810 .638 .501 .444 .325 .182 .197 .231 .522 1.000 .807 .542 .451 .339 .164 .202 .225 .460 .838 .781 .584 .467 .411 .142 .169 .205 .380 .560 .562 .557 .490 .472 .151 .170 .215 .345 .435 .405 .472 .480 .455 .195 .238 .285 .369 .444 .378 .405 .441 .401 r_peak,r_snr = .3110673 4.00716 Correlation Surface of oversamples image at 1546 3046 .211 .346 .497 .599 .619 .590 .565 .551 .519 .215 .372 .559 .684 .689 .630 .588 .580 .560 .240 .418 .647 .803 .794 .684 .599 .579 .570 .273 .467 .731 .924 .912 .753 .616 .566 .557 .300 .497 .776 .997 1.000 .822 .644 .561 .539 .306 .489 .750 .969 .998 .848 .671 .567 .529 .288 .445 .662 .843 .891 .803 .673 .576 .529 .258 .389 .554 .680 .723 .696 .638 .580 .542 .234 .343 .465 .537 .558 .564 .571 .570 .560 1546 .281 3046 .188 4.00716 .007187 .023804 -.002059 Correlation Surface at 1646 3046 .021 .008 .001 .061 .139 .021 .000 .006 .010 .049 .035 .004 .076 .157 .035 .003 .010 .004 .043 .039 .033 .135 .168 .014 .047 .053 .001 .020 .004 .026 .260 .499 .097 .021 .066 .002 .002 .005 .000 .261 1.000 .437 .033 .006 .007 .001 .002 .013 .116 .711 .491 .144 .018 .002 .014 .001 .002 .060 .253 .193 .093 .021 .000 .040 .002 .002 .070 .111 .069 .019 .003 .000 .069 .043 .000 .047 .024 .008 .000 .042 .008 r_peak,r_snr = .1413641 26.96683 Correlation Surface of oversamples image at 1646 3046 .100 .223 .350 .359 .228 .079 .006 .007 .026 .099 .258 .466 .557 .421 .198 .046 .000 .016 .075 .259 .566 .802 .717 .421 .160 .027 .000 .043 .222 .583 .951 .978 .678 .342 .122 .025 .019 .159 .487 .874 1.000 .799 .493 .253 .106 .006 .096 .327 .615 .759 .694 .511 .331 .185 .004 .062 .201 .360 .456 .476 .419 .322 .207 .007 .055 .135 .201 .243 .288 .300 .255 .163 .017 .063 .108 .124 .135 .174 .203 .173 .092 1646 .344 3046 .219 26.96684 .011803 .032292 -.007597 Correlation Surface at 1746 3046 .001 .022 .064 .082 .174 .155 .119 .014 .061 .007 .000 .000 .025 .104 .127 .076 .000 .005 .000 .001 .003 .047 .285 .275 .085 .000 .002 .015 .030 .004 .129 .864 .701 .183 .034 .040 .007 .020 .014 .116 1.000 .814 .240 .136 .148 .007 .007 .000 .023 .418 .417 .223 .196 .241 .019 .024 .002 .001 .081 .123 .161 .163 .252 .012 .000 .010 .003 .027 .025 .035 .048 .148 .024 .011 .116 .034 .023 .001 .011 .000 .044 r_peak,r_snr = .1557281 15.83396 Correlation Surface of oversamples image at 1746 3046 .005 .011 .075 .171 .203 .134 .081 .051 .016 .009 .018 .136 .294 .341 .232 .120 .057 .018 .005 .040 .248 .505 .564 .386 .196 .089 .041 .000 .074 .379 .749 .822 .564 .291 .143 .092 .001 .097 .445 .890 1.000 .706 .386 .212 .164 .002 .084 .387 .817 .983 .753 .464 .292 .242 .000 .048 .249 .577 .779 .691 .512 .373 .312 .000 .018 .118 .316 .509 .559 .515 .433 .353 .001 .005 .042 .140 .286 .404 .464 .440 .351 1746 .375 3046 -.313 15.83397 .009748 .026166 -.000203 Correlation Surface at 1846 3046 .101 .048 .000 .173 .623 .589 .102 .007 .035 .078 .048 .001 .188 .578 .508 .087 .007 .031 .054 .032 .002 .242 .691 .487 .059 .008 .024 .058 .022 .003 .292 .977 .570 .040 .010 .018 .080 .030 .002 .252 1.000 .590 .029 .010 .016 .101 .046 .001 .165 .646 .461 .026 .008 .016 .106 .048 .000 .131 .414 .337 .029 .005 .016 .101 .042 .001 .161 .460 .332 .036 .002 .016 .083 .041 .002 .196 .593 .403 .052 .001 .016 r_peak,r_snr = .3778874 12.78639 Correlation Surface of oversamples image at 1846 3046 .012 .093 .270 .495 .642 .624 .444 .204 .045 .012 .096 .295 .556 .714 .666 .451 .198 .040 .011 .095 .318 .636 .827 .746 .476 .198 .038 .009 .089 .328 .703 .943 .838 .507 .198 .036 .007 .077 .313 .716 1.000 .894 .526 .195 .033 .004 .063 .274 .655 .949 .871 .515 .187 .031 .002 .049 .220 .537 .801 .763 .471 .176 .029 .001 .038 .170 .409 .618 .617 .408 .165 .031 .000 .032 .139 .318 .475 .493 .354 .161 .037 1846 .125 3046 -.406 12.78639 .001730 .011584 -.000274 Correlation Surface at 1946 3046 .001 .021 .003 .027 .123 .050 .007 .000 .003 .000 .007 .001 .077 .182 .051 .001 .003 .009 .000 .002 .007 .198 .399 .100 .001 .005 .008 .000 .004 .003 .282 .831 .273 .012 .000 .003 .000 .011 .001 .198 1.000 .477 .046 .003 .000 .000 .017 .012 .076 .656 .416 .070 .009 .000 .001 .021 .021 .026 .316 .207 .052 .011 .000 .000 .020 .017 .020 .193 .100 .018 .004 .000 .000 .009 .005 .036 .168 .072 .003 .000 .000 r_peak,r_snr = .3780615 47.8316 Correlation Surface of oversamples image at 1946 3046 .004 .050 .197 .384 .412 .256 .096 .021 .001 .004 .060 .257 .532 .607 .403 .161 .038 .003 .001 .054 .283 .657 .825 .602 .265 .071 .010 .000 .038 .263 .702 .981 .789 .383 .118 .023 .002 .021 .210 .647 1.000 .878 .467 .165 .042 .004 .009 .150 .525 .879 .828 .479 .191 .060 .007 .003 .099 .385 .679 .672 .417 .185 .070 .011 .001 .063 .264 .477 .483 .315 .153 .066 .014 .000 .041 .182 .329 .330 .218 .111 .051 1946 .094 3046 -.125 47.83160 .001496 .007652 -.000989 Correlation Surface at 2046 3046 .004 .000 .029 .076 .085 .071 .072 .086 .052 .000 .000 .017 .090 .127 .083 .067 .095 .060 .001 .000 .012 .151 .301 .149 .060 .065 .046 .001 .000 .008 .259 .721 .349 .065 .030 .022 .000 .001 .004 .264 1.000 .572 .080 .014 .008 .003 .006 .006 .181 .719 .505 .085 .010 .004 .002 .005 .019 .142 .374 .308 .074 .005 .000 .001 .000 .042 .143 .226 .197 .070 .002 .002 .002 .011 .063 .122 .143 .135 .064 .003 .003 r_peak,r_snr = .3374089 25.75653 Correlation Surface of oversamples image at 2046 3046 .016 .050 .124 .230 .281 .235 .154 .100 .079 .016 .062 .178 .357 .461 .389 .235 .125 .076 .014 .071 .239 .516 .704 .614 .365 .173 .083 .011 .074 .277 .642 .921 .844 .518 .236 .097 .010 .069 .274 .665 1.000 .971 .632 .297 .116 .013 .066 .240 .581 .902 .928 .653 .331 .134 .020 .069 .199 .442 .687 .743 .571 .323 .142 .033 .078 .164 .310 .463 .521 .440 .281 .137 .047 .088 .138 .213 .297 .345 .321 .234 .126 2046 .219 3046 .031 25.75653 .002258 .008475 -.000739 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .053 .288 .721 .609 .455 .267 .050 .095 .188 .084 .252 .622 .509 .294 .045 .001 .052 .330 .163 .260 .613 .598 .459 .023 .050 .004 .185 .183 .251 .741 .789 .862 .145 .080 .009 .033 .228 .303 .887 .904 1.000 .290 .093 .054 .000 .420 .489 .903 .908 .854 .236 .068 .084 .000 .596 .757 .813 .829 .773 .198 .001 .014 .000 .446 .768 .691 .762 .772 .265 .070 .031 .000 .186 .395 .521 .793 .726 .386 .189 .123 .000 r_peak,r_snr = .1019599 5.50568 Correlation Surface of oversamples image at 146 3446 1.944 2.335 2.576 2.512 2.075 1.394 .671 .188 .027 1.636 2.047 2.595 2.933 2.627 1.784 .896 .333 .124 1.179 1.625 2.405 3.125 3.043 2.161 1.146 .488 .239 .931 1.485 2.480 3.456 3.570 2.731 1.620 .812 .471 146 -.188 3446 3.813 5.50568 .045050 .464442 -.011471 Correlation Surface at 246 3446 .170 .344 .407 .541 .707 .689 .401 .164 .169 .181 .340 .378 .488 .732 .690 .390 .209 .208 .249 .357 .393 .537 .826 .696 .376 .244 .257 .315 .389 .429 .603 .942 .774 .424 .261 .274 .293 .357 .416 .636 1.000 .868 .512 .283 .253 .235 .273 .348 .626 .955 .877 .571 .330 .249 .209 .236 .297 .585 .856 .761 .576 .378 .279 .191 .227 .282 .552 .768 .622 .537 .408 .328 .158 .198 .271 .512 .737 .592 .507 .417 .379 r_peak,r_snr = .3214364 4.06778 Correlation Surface of oversamples image at 246 3446 .430 .532 .687 .825 .841 .718 .549 .429 .389 .446 .561 .734 .884 .897 .765 .596 .470 .415 .443 .565 .756 .927 .951 .823 .657 .527 .453 .431 .556 .756 .944 .988 .875 .717 .587 .499 .417 .548 .749 .940 1.000 .909 .766 .640 .545 .403 .542 .739 .918 .983 .914 .791 .676 .581 .391 .542 .731 .884 .936 .883 .789 .694 .603 .389 .551 .729 .845 .868 .822 .758 .692 .613 .387 .557 .722 .798 .783 .735 .698 .666 .606 246 .406 3446 .406 4.06778 .011684 .224276 -.010253 Correlation Surface at 346 3446 .130 .007 .083 .009 .026 .037 .020 .026 .000 .022 .006 .177 .009 .143 .050 .015 .009 .010 .003 .019 .045 .069 .470 .171 .092 .070 .010 .037 .018 .003 .391 .959 .529 .002 .003 .012 .157 .008 .092 .813 1.000 .548 .056 .085 .098 .135 .164 .340 .955 .645 .208 .015 .059 .055 .051 .180 .366 .744 .470 .109 .004 .004 .006 .009 .017 .054 .234 .298 .161 .001 .022 .015 .030 .048 .011 .004 .035 .092 .046 .064 .060 r_peak,r_snr = 8.75032E-02 9.43184 Correlation Surface of oversamples image at 346 3446 .025 .001 .047 .095 .100 .063 .007 .021 .100 .003 .027 .118 .201 .239 .192 .058 .004 .100 .003 .100 .266 .408 .492 .441 .207 .014 .037 .025 .210 .469 .684 .804 .738 .423 .100 .000 .058 .314 .637 .888 1.000 .905 .561 .203 .033 .101 .382 .698 .901 .944 .813 .507 .214 .068 .155 .426 .681 .772 .707 .548 .318 .127 .044 .195 .436 .626 .612 .457 .291 .136 .033 .003 .186 .391 .547 .489 .304 .152 .047 .001 .011 346 -.969 3446 .625 9.43184 .350300 .732779 .426457 Correlation Surface at 446 3446 .069 .016 .055 .133 .035 .003 .012 .023 .123 .063 .001 .111 .230 .137 .019 .060 .002 .058 .075 .006 .156 .450 .350 .062 .043 .000 .029 .061 .045 .072 .625 .708 .096 .002 .028 .025 .027 .122 .004 .442 1.000 .136 .004 .041 .010 .002 .097 .058 .189 .935 .207 .003 .029 .002 .002 .021 .020 .068 .587 .263 .004 .008 .001 .001 .008 .004 .027 .316 .164 .013 .002 .035 .000 .010 .015 .014 .140 .031 .001 .011 .090 r_peak,r_snr = .1231767 11.69357 Correlation Surface of oversamples image at 446 3446 .217 .489 .622 .529 .329 .167 .078 .039 .017 .117 .458 .750 .765 .546 .293 .120 .035 .003 .023 .325 .746 .934 .771 .440 .167 .030 .000 .005 .159 .620 .981 .931 .563 .203 .025 .005 .075 .046 .453 .932 1.000 .631 .222 .022 .010 .151 .005 .308 .827 .985 .648 .230 .023 .011 .159 .000 .204 .679 .889 .617 .230 .027 .008 .102 .000 .136 .512 .730 .544 .218 .031 .004 .041 .000 .097 .365 .567 .465 .204 .038 .001 446 -.188 3446 -.031 11.69357 .015169 .224512 -.033708 Correlation Surface at 546 3446 .085 .157 .415 .744 .693 .481 .292 .112 .029 .075 .089 .324 .788 .831 .596 .393 .152 .016 .079 .066 .229 .744 .916 .675 .419 .174 .019 .111 .094 .176 .648 .995 .700 .336 .152 .034 .155 .171 .165 .547 1.000 .691 .253 .115 .047 .146 .204 .127 .400 .824 .605 .196 .085 .044 .093 .138 .071 .271 .638 .511 .149 .061 .040 .077 .089 .062 .270 .667 .541 .162 .074 .058 .105 .086 .099 .383 .820 .673 .272 .128 .085 r_peak,r_snr = .2139135 6.07407 Correlation Surface of oversamples image at 546 3446 .166 .358 .572 .683 .672 .611 .539 .448 .322 .161 .361 .611 .768 .780 .706 .593 .462 .315 .150 .339 .615 .830 .874 .782 .615 .434 .270 .136 .304 .596 .870 .952 .833 .605 .376 .205 .121 .267 .563 .885 1.000 .852 .570 .310 .146 .105 .225 .511 .856 .992 .829 .519 .253 .105 .086 .179 .433 .769 .918 .765 .461 .212 .082 .067 .130 .341 .648 .804 .677 .406 .185 .071 .050 .093 .265 .541 .702 .606 .366 .168 .066 546 -.031 3446 -4.250 6.07407 .014387 .210257 -.016660 Correlation Surface at 646 3446 .307 .388 .429 .460 .616 .600 .542 .472 .409 .276 .315 .397 .482 .600 .647 .613 .508 .387 .226 .237 .357 .585 .723 .723 .684 .569 .366 .201 .219 .350 .687 .902 .777 .702 .650 .388 .192 .233 .374 .722 1.000 .795 .663 .689 .478 .164 .231 .404 .708 .949 .785 .636 .666 .571 .161 .238 .418 .675 .809 .716 .621 .617 .594 .199 .298 .443 .637 .666 .571 .542 .561 .589 .236 .384 .506 .628 .585 .438 .416 .483 .578 r_peak,r_snr = .3817313 2.69047 Correlation Surface of oversamples image at 646 3446 .360 .501 .676 .790 .788 .712 .630 .584 .563 .372 .504 .688 .834 .854 .771 .670 .608 .578 .402 .524 .706 .873 .918 .834 .715 .637 .597 .443 .558 .727 .902 .970 .891 .758 .665 .618 .480 .596 .749 .915 1.000 .934 .794 .688 .635 .500 .624 .761 .904 .993 .945 .811 .700 .641 .492 .626 .754 .871 .951 .923 .807 .698 .634 .464 .600 .725 .818 .882 .871 .780 .680 .614 .433 .559 .677 .751 .794 .792 .728 .645 .582 646 .063 3446 -.344 2.69047 .007862 .065507 .000654 Correlation Surface at 746 3446 .022 .095 .111 .124 .194 .179 .100 .080 .039 .040 .117 .110 .125 .266 .209 .080 .042 .023 .051 .110 .150 .204 .450 .316 .100 .032 .017 .056 .115 .237 .431 .777 .490 .185 .048 .016 .043 .126 .345 .683 1.000 .568 .263 .076 .015 .028 .100 .390 .685 .847 .496 .258 .088 .016 .035 .071 .337 .567 .610 .393 .205 .066 .015 .044 .065 .265 .526 .544 .347 .151 .040 .006 .027 .049 .221 .509 .568 .339 .136 .034 .003 r_peak,r_snr = .2336278 11.40181 Correlation Surface of oversamples image at 746 3446 .230 .255 .332 .463 .559 .518 .400 .292 .225 .278 .326 .425 .585 .701 .653 .498 .350 .252 .327 .408 .539 .722 .838 .774 .594 .418 .290 .370 .491 .659 .854 .946 .853 .659 .474 .330 .402 .558 .757 .952 1.000 .870 .675 .499 .358 .426 .606 .819 .996 .997 .837 .649 .496 .369 .440 .634 .843 .987 .947 .771 .598 .469 .361 .441 .645 .836 .938 .865 .686 .531 .425 .333 .433 .640 .806 .860 .762 .592 .458 .373 .295 746 -.219 3446 .375 11.40181 .012040 .043614 .005945 Correlation Surface at 846 3446 .240 .080 .013 .138 .497 .290 .039 .010 .032 .096 .002 .001 .196 .355 .123 .011 .002 .006 .057 .000 .031 .288 .274 .072 .013 .000 .000 .069 .007 .032 .457 .537 .163 .042 .001 .000 .053 .005 .017 .517 1.000 .377 .056 .027 .024 .062 .001 .050 .468 .966 .404 .026 .072 .064 .177 .001 .177 .497 .496 .180 .001 .090 .044 .248 .000 .281 .515 .200 .017 .034 .158 .024 .064 .041 .281 .390 .085 .007 .168 .343 .066 r_peak,r_snr = .1262298 7.12282 Correlation Surface of oversamples image at 846 3446 .000 .007 .041 .044 .005 .002 .002 .000 .001 .002 .014 .126 .233 .163 .064 .029 .017 .005 .003 .023 .236 .521 .518 .294 .132 .055 .012 .001 .039 .332 .764 .875 .571 .244 .078 .012 .002 .068 .385 .837 1.000 .702 .292 .074 .006 .023 .119 .395 .730 .836 .598 .243 .050 .001 .066 .188 .381 .535 .528 .354 .130 .016 .003 .097 .241 .351 .349 .252 .129 .029 .000 .038 .083 .230 .293 .212 .089 .016 .002 .043 .138 846 -.094 3446 .938 7.12282 .019293 .087598 -.009956 Correlation Surface at 946 3446 .007 .003 .094 .250 .249 .228 .114 .033 .014 .000 .005 .119 .318 .264 .134 .079 .031 .017 .000 .006 .103 .387 .420 .125 .034 .014 .009 .001 .001 .058 .426 .756 .260 .021 .003 .001 .000 .001 .046 .438 1.000 .446 .018 .000 .000 .006 .023 .088 .421 .775 .373 .011 .008 .000 .038 .077 .155 .390 .434 .176 .006 .010 .002 .071 .117 .161 .294 .267 .101 .011 .001 .000 .054 .111 .103 .134 .179 .106 .032 .003 .002 r_peak,r_snr = .2414829 21.95702 Correlation Surface of oversamples image at 946 3446 .120 .224 .349 .427 .416 .310 .166 .063 .013 .080 .185 .372 .562 .625 .481 .229 .059 .003 .055 .160 .399 .695 .836 .662 .307 .064 .000 .050 .157 .430 .793 .978 .788 .373 .077 .000 .067 .181 .461 .827 1.000 .810 .397 .089 .000 .106 .227 .485 .792 .910 .730 .372 .095 .002 .161 .288 .502 .722 .776 .615 .330 .100 .006 .213 .341 .506 .645 .651 .515 .298 .110 .016 .237 .354 .481 .568 .551 .438 .273 .118 .024 946 .000 3446 .313 21.95702 .005029 .025636 -.001284 Correlation Surface at 1046 3446 .254 .070 .004 .039 .193 .142 .020 .002 .035 .266 .162 .012 .051 .116 .037 .000 .006 .002 .214 .241 .040 .068 .198 .033 .005 .018 .000 .174 .196 .043 .159 .578 .108 .007 .022 .001 .102 .091 .014 .302 1.000 .198 .007 .018 .007 .019 .018 .000 .242 .853 .174 .011 .020 .008 .001 .001 .001 .043 .313 .080 .021 .041 .003 .012 .033 .004 .000 .059 .018 .013 .023 .005 .023 .054 .018 .000 .023 .008 .000 .003 .042 r_peak,r_snr = .1484254 19.16792 Correlation Surface of oversamples image at 1046 3446 .080 .001 .035 .100 .110 .070 .017 .001 .019 .097 .002 .061 .208 .268 .186 .056 .000 .023 .098 .001 .102 .376 .525 .387 .134 .005 .021 .084 .000 .160 .569 .812 .615 .235 .020 .013 .058 .003 .219 .715 1.000 .749 .299 .037 .005 .031 .010 .248 .738 .993 .721 .288 .044 .001 .011 .016 .221 .618 .798 .553 .211 .032 .001 .001 .018 .160 .424 .520 .331 .111 .011 .003 .001 .019 .101 .249 .280 .150 .034 .000 .014 1046 .000 3446 .219 19.16793 .006761 .049008 .000049 Correlation Surface at 1246 3446 .001 .002 .000 .051 .109 .061 .111 .138 .039 .001 .013 .007 .017 .101 .024 .031 .117 .062 .001 .004 .003 .030 .209 .018 .000 .062 .072 .003 .002 .004 .127 .680 .117 .000 .029 .068 .000 .007 .010 .177 1.000 .284 .004 .020 .051 .008 .001 .000 .057 .527 .225 .019 .025 .045 .005 .001 .002 .004 .173 .134 .054 .057 .064 .000 .000 .000 .002 .105 .119 .090 .089 .065 .002 .000 .003 .004 .052 .056 .062 .067 .033 r_peak,r_snr = .2232927 23.64956 Correlation Surface of oversamples image at 1246 3446 .020 .001 .042 .135 .098 .019 .000 .001 .006 .009 .002 .113 .298 .235 .060 .002 .000 .001 .001 .020 .244 .581 .505 .177 .020 .000 .000 .000 .044 .377 .879 .826 .353 .063 .003 .001 .000 .046 .412 .995 1.000 .484 .110 .008 .001 .003 .023 .321 .846 .903 .481 .131 .014 .001 .015 .003 .173 .542 .622 .365 .121 .020 .002 .030 .002 .062 .273 .351 .237 .106 .031 .006 .031 .010 .016 .126 .194 .164 .111 .061 .025 1246 .250 3446 .000 23.64956 .003039 .011285 -.000868 Correlation Surface at 1346 3446 .002 .018 .084 .155 .352 .453 .251 .207 .273 .011 .007 .051 .134 .313 .397 .242 .210 .220 .010 .006 .038 .182 .421 .338 .188 .173 .143 .001 .014 .070 .359 .798 .438 .161 .145 .136 .001 .019 .106 .479 1.000 .522 .168 .151 .191 .005 .022 .109 .397 .736 .425 .162 .152 .185 .005 .024 .110 .297 .453 .309 .154 .131 .135 .004 .012 .103 .274 .361 .307 .186 .139 .153 .003 .003 .068 .260 .348 .332 .238 .187 .225 r_peak,r_snr = .288124 8.3192 Correlation Surface of oversamples image at 1346 3446 .041 .102 .226 .382 .487 .487 .407 .308 .224 .046 .122 .291 .510 .636 .583 .431 .297 .213 .059 .156 .376 .668 .821 .712 .480 .303 .207 .073 .189 .447 .791 .967 .822 .533 .318 .208 .080 .205 .469 .818 1.000 .861 .564 .335 .213 .080 .196 .434 .741 .910 .808 .556 .344 .220 .078 .176 .366 .609 .752 .695 .510 .335 .218 .082 .162 .303 .481 .598 .577 .450 .312 .208 .093 .160 .264 .392 .486 .490 .404 .291 .197 1346 .031 3446 -.125 8.31920 .004239 .016875 .000384 Correlation Surface at 1446 3446 .014 .017 .021 .066 .469 .095 .024 .004 .003 .011 .003 .002 .088 .520 .212 .001 .011 .051 .014 .002 .000 .114 .596 .306 .056 .000 .107 .028 .006 .002 .190 .858 .369 .101 .005 .063 .084 .019 .005 .288 1.000 .283 .034 .001 .014 .167 .037 .003 .268 .761 .140 .003 .008 .000 .187 .021 .001 .206 .562 .092 .029 .072 .000 .116 .001 .005 .210 .599 .153 .006 .107 .018 .030 .009 .031 .275 .673 .281 .019 .028 .031 r_peak,r_snr = .1442787 12.49588 Correlation Surface of oversamples image at 1446 3446 .075 .482 1.442 2.688 2.947 1.619 .290 .011 .236 .065 .494 1.538 2.901 3.200 1.751 .314 .008 .239 .052 .479 1.558 3.035 3.476 2.008 .426 .000 .138 .071 .530 1.638 3.186 3.783 2.398 .677 .048 .018 1446 -.063 3446 3.813 12.49588 .009335 .128524 .012913 Correlation Surface at 1546 3446 .000 .002 .040 .054 .065 .320 .278 .006 .024 .000 .027 .081 .070 .032 .126 .207 .086 .003 .001 .009 .040 .055 .031 .027 .088 .145 .000 .020 .004 .026 .096 .311 .141 .073 .193 .012 .112 .053 .101 .231 1.000 .614 .110 .158 .007 .099 .095 .196 .200 .793 .661 .060 .027 .005 .000 .028 .102 .016 .120 .171 .000 .008 .036 .060 .000 .061 .000 .007 .024 .025 .051 .032 .038 .001 .182 .148 .130 .093 .009 .057 .016 r_peak,r_snr = .1025362 12.43426 Correlation Surface of oversamples image at 1546 3446 .037 .108 .223 .299 .252 .168 .151 .194 .204 .016 .092 .284 .479 .448 .272 .182 .202 .222 .014 .097 .364 .711 .742 .457 .257 .231 .243 .025 .114 .418 .872 .992 .643 .331 .244 .235 .045 .125 .396 .828 1.000 .683 .332 .204 .177 .052 .105 .286 .585 .731 .514 .228 .110 .083 .034 .056 .143 .295 .378 .261 .094 .025 .012 .013 .015 .043 .105 .139 .084 .015 .000 .004 .004 .001 .007 .030 .042 .016 .000 .020 .037 1546 .375 3446 .250 12.43426 .024020 .039822 -.006455 Correlation Surface at 1646 3446 .231 .282 .093 .051 .144 .121 .104 .173 .251 .370 .421 .207 .012 .192 .127 .227 .256 .184 .254 .436 .282 .000 .338 .249 .410 .359 .106 .074 .193 .083 .047 .784 .570 .553 .445 .069 .046 .056 .000 .290 1.000 .694 .594 .554 .103 .047 .025 .023 .388 .611 .391 .513 .749 .308 .003 .001 .044 .509 .413 .125 .312 .745 .497 .053 .026 .080 .721 .520 .046 .157 .408 .314 .128 .067 .057 .633 .538 .035 .087 .170 .100 r_peak,r_snr = .1031534 8.9649 Correlation Surface of oversamples image at 1646 3446 .445 .575 .671 .537 .318 .412 .571 .735 .670 .463 .353 .539 .779 .833 .689 .278 .469 .760 .944 .915 .206 .377 .672 .934 1.000 .149 .291 .545 .792 .878 .088 .200 .388 .551 .593 .049 .139 .278 .359 .347 1646 3.688 3446 3.000 8.96490 .039955 .118330 .035623 Correlation Surface at 1746 3446 .023 .088 .075 .061 .024 .001 .006 .002 .007 .046 .288 .126 .030 .001 .004 .001 .006 .012 .002 .155 .125 .141 .116 .002 .010 .001 .009 .096 .015 .081 .268 .717 .046 .016 .000 .009 .380 .001 .049 .162 1.000 .191 .003 .002 .048 .320 .006 .020 .038 .510 .180 .007 .055 .152 .061 .013 .002 .011 .130 .102 .055 .181 .303 .000 .018 .001 .031 .057 .066 .109 .137 .319 .047 .035 .015 .065 .077 .047 .102 .031 .190 r_peak,r_snr = .1116416 10.30459 Correlation Surface of oversamples image at 1746 3446 .056 .047 .079 .081 .027 .000 .016 .020 .015 .031 .045 .142 .258 .215 .071 .002 .004 .014 .018 .040 .190 .482 .581 .332 .078 .003 .005 .010 .027 .182 .605 .922 .680 .238 .033 .000 .003 .011 .122 .539 1.000 .874 .367 .071 .002 .001 .002 .061 .367 .803 .798 .381 .093 .012 .000 .000 .024 .193 .479 .532 .292 .094 .027 .001 .001 .009 .084 .217 .267 .183 .089 .049 .002 .001 .006 .042 .088 .111 .104 .088 .078 1746 .125 3446 -.063 10.30459 .010196 .052783 -.007868 Correlation Surface at 1846 3446 .077 .076 .132 .263 .374 .282 .186 .104 .054 .075 .082 .158 .308 .438 .325 .204 .114 .071 .072 .081 .180 .413 .609 .404 .217 .128 .091 .072 .080 .182 .554 .894 .509 .213 .129 .093 .070 .077 .165 .594 1.000 .525 .185 .115 .080 .069 .079 .145 .487 .786 .429 .165 .109 .073 .080 .091 .139 .374 .565 .355 .163 .113 .076 .094 .103 .144 .321 .481 .346 .162 .103 .077 .090 .100 .137 .293 .431 .332 .151 .088 .076 r_peak,r_snr = .5433907 8.29809 Correlation Surface of oversamples image at 1846 3446 .157 .259 .402 .540 .579 .487 .342 .228 .161 .165 .291 .475 .658 .715 .594 .398 .247 .162 .164 .313 .543 .780 .862 .708 .454 .262 .160 .155 .317 .582 .866 .972 .794 .493 .271 .158 .139 .301 .578 .881 1.000 .817 .501 .268 .155 .123 .271 .532 .819 .936 .771 .476 .258 .151 .110 .237 .464 .714 .818 .682 .432 .243 .148 .100 .206 .395 .603 .692 .588 .387 .228 .145 .093 .181 .337 .510 .588 .512 .352 .217 .142 1846 -.063 3446 -.125 8.29809 .001151 .005508 .000041 Correlation Surface at 1946 3446 .050 .014 .024 .211 .329 .208 .058 .007 .000 .025 .006 .029 .222 .340 .206 .056 .002 .005 .018 .003 .024 .258 .507 .266 .052 .000 .039 .044 .017 .008 .276 .875 .459 .048 .003 .051 .085 .041 .001 .221 1.000 .623 .050 .003 .035 .097 .030 .004 .151 .613 .475 .045 .002 .023 .060 .003 .032 .131 .310 .245 .031 .001 .014 .018 .007 .079 .142 .261 .187 .032 .000 .006 .001 .031 .108 .165 .297 .227 .057 .002 .004 r_peak,r_snr = .3306684 22.50416 Correlation Surface of oversamples image at 1946 3446 .032 .099 .225 .370 .443 .392 .260 .132 .048 .023 .088 .234 .427 .536 .469 .296 .143 .050 .015 .079 .252 .518 .689 .600 .356 .158 .050 .009 .070 .264 .612 .871 .767 .435 .174 .047 .005 .061 .258 .655 1.000 .911 .509 .187 .042 .003 .054 .232 .616 .998 .952 .542 .192 .038 .005 .055 .200 .514 .857 .862 .517 .188 .035 .011 .064 .178 .402 .658 .690 .444 .174 .034 .026 .086 .178 .329 .497 .526 .362 .155 .034 1946 .188 3446 -.188 22.50417 .002285 .009945 -.000620 Correlation Surface at 2046 3446 .000 .000 .009 .069 .105 .064 .060 .012 .005 .000 .001 .002 .075 .145 .077 .081 .037 .001 .000 .001 .000 .097 .297 .139 .063 .041 .001 .000 .001 .001 .169 .679 .326 .047 .022 .008 .000 .001 .000 .231 1.000 .514 .044 .006 .007 .002 .002 .001 .183 .804 .441 .031 .000 .000 .008 .007 .001 .107 .406 .223 .016 .001 .004 .020 .013 .000 .071 .191 .075 .008 .000 .008 .031 .012 .000 .046 .093 .015 .003 .001 .004 r_peak,r_snr = .3493591 44.23525 Correlation Surface of oversamples image at 2046 3446 .001 .011 .094 .230 .297 .245 .158 .104 .080 .002 .011 .119 .327 .465 .406 .248 .126 .066 .000 .017 .160 .458 .685 .622 .371 .158 .055 .000 .028 .205 .583 .893 .827 .488 .186 .046 .003 .038 .229 .644 1.000 .937 .548 .195 .037 .004 .040 .217 .606 .953 .902 .527 .180 .027 .005 .036 .176 .488 .778 .745 .439 .148 .019 .004 .030 .132 .353 .559 .537 .321 .112 .014 .004 .027 .102 .245 .368 .344 .206 .075 .011 2046 .188 3446 .125 44.23526 .001797 .008706 -.000256 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .001 .000 .003 .060 .243 .163 .074 .004 .055 .001 .006 .003 .070 .254 .084 .003 .001 .009 .027 .009 .011 .155 .410 .106 .008 .006 .000 .097 .118 .082 .310 .710 .186 .015 .024 .002 .102 .152 .114 .454 1.000 .239 .019 .052 .000 .081 .111 .095 .395 .981 .264 .012 .085 .020 .109 .139 .094 .169 .551 .231 .000 .064 .041 .146 .189 .152 .047 .172 .179 .009 .021 .035 .129 .174 .235 .059 .096 .197 .040 .001 .014 r_peak,r_snr = .1440171 11.34671 Correlation Surface of oversamples image at 146 3846 .002 .009 .070 .222 .365 .308 .103 .001 .032 .013 .028 .129 .357 .555 .454 .152 .003 .040 .020 .045 .191 .508 .765 .616 .209 .005 .046 .020 .053 .233 .619 .935 .765 .277 .011 .044 .019 .055 .242 .643 1.000 .863 .352 .026 .030 .023 .052 .210 .560 .907 .844 .395 .048 .015 .035 .046 .144 .390 .677 .692 .373 .066 .004 .056 .038 .072 .205 .411 .481 .300 .073 .000 .081 .030 .021 .067 .194 .291 .218 .070 .002 146 .125 3846 -9.500 11.34671 .009621 .172595 -.000689 Correlation Surface at 246 3846 .016 .002 .013 .070 .112 .051 .019 .058 .049 .001 .007 .048 .184 .223 .033 .001 .031 .033 .011 .018 .089 .323 .451 .089 .000 .002 .002 .003 .009 .076 .378 .787 .256 .007 .002 .008 .000 .015 .052 .304 1.000 .428 .042 .000 .016 .000 .076 .068 .169 .806 .408 .057 .001 .010 .012 .154 .093 .072 .376 .190 .009 .000 .001 .039 .109 .060 .034 .128 .039 .009 .015 .001 .037 .033 .018 .040 .069 .017 .010 .036 .000 r_peak,r_snr = .1717425 27.42115 Correlation Surface of oversamples image at 246 3846 .046 .128 .263 .383 .360 .199 .053 .005 .000 .046 .144 .322 .517 .547 .348 .118 .019 .001 .041 .139 .351 .637 .755 .533 .211 .046 .004 .039 .122 .344 .707 .925 .704 .306 .083 .012 .047 .106 .308 .702 1.000 .812 .380 .121 .028 .068 .098 .256 .621 .953 .821 .407 .145 .044 .097 .095 .198 .489 .794 .716 .368 .136 .046 .121 .090 .145 .343 .579 .536 .273 .093 .028 .128 .081 .102 .222 .375 .342 .159 .039 .005 246 .094 3846 -.875 27.42116 .008729 .078880 -.010171 Correlation Surface at 446 3846 .073 .172 .060 .021 .101 .076 .002 .011 .000 .162 .100 .013 .036 .221 .126 .008 .000 .002 .194 .016 .031 .144 .432 .169 .051 .092 .066 .088 .002 .238 .485 .775 .243 .053 .232 .364 .051 .000 .334 .862 1.000 .307 .029 .155 .573 .185 .079 .138 .845 .900 .310 .043 .060 .292 .455 .262 .013 .625 .739 .295 .114 .087 .088 .385 .151 .013 .610 .559 .183 .118 .130 .058 .049 .001 .087 .721 .415 .055 .028 .034 .024 r_peak,r_snr = 9.53247E-02 9.80477 Correlation Surface of oversamples image at 446 3846 .009 .000 .022 .091 .112 .050 .007 .003 .008 .013 .028 .084 .228 .308 .179 .043 .013 .022 .087 .102 .182 .419 .612 .425 .133 .033 .030 .167 .188 .282 .590 .904 .713 .261 .059 .027 .199 .248 .346 .651 1.000 .857 .355 .075 .019 .172 .267 .362 .588 .854 .762 .348 .077 .012 .118 .258 .354 .481 .614 .544 .272 .072 .013 .059 .227 .335 .384 .403 .332 .182 .070 .027 .016 .185 .320 .323 .260 .178 .102 .064 .054 446 .125 3846 -1.563 9.80477 .053908 .418041 .041811 Correlation Surface at 546 3846 .034 .028 .065 .115 .252 .227 .107 .037 .025 .035 .019 .110 .232 .331 .207 .076 .019 .017 .024 .012 .093 .390 .600 .291 .062 .006 .004 .022 .013 .048 .418 .970 .480 .066 .006 .003 .045 .025 .030 .365 1.000 .520 .058 .011 .014 .137 .051 .046 .362 .803 .433 .069 .021 .030 .249 .076 .113 .431 .736 .462 .135 .047 .031 .203 .054 .188 .533 .781 .559 .226 .111 .043 .090 .027 .173 .558 .761 .557 .245 .177 .084 r_peak,r_snr = .2090133 9.99362 Correlation Surface of oversamples image at 546 3846 .099 .216 .345 .444 .451 .355 .235 .149 .096 .077 .206 .398 .587 .639 .504 .314 .175 .096 .058 .178 .414 .708 .844 .687 .410 .202 .091 .043 .143 .389 .756 .980 .829 .486 .220 .083 .037 .118 .348 .730 1.000 .871 .510 .223 .076 .042 .114 .324 .676 .933 .820 .484 .216 .076 .062 .135 .332 .640 .850 .738 .442 .211 .085 .102 .183 .376 .648 .806 .686 .424 .224 .110 .161 .256 .449 .699 .820 .688 .443 .261 .152 546 .094 3846 -.156 9.99362 .006580 .139536 -.000631 Correlation Surface at 646 3846 .282 .475 .671 .823 .987 .861 .673 .501 .327 .321 .460 .611 .755 .885 .751 .660 .536 .319 .355 .450 .556 .718 .829 .701 .627 .509 .315 .380 .471 .542 .746 .898 .784 .647 .463 .315 .377 .521 .566 .796 1.000 .898 .700 .447 .318 .346 .553 .595 .802 .994 .883 .735 .476 .311 .339 .559 .608 .775 .930 .777 .705 .495 .295 .371 .575 .619 .760 .902 .701 .605 .454 .273 .405 .587 .625 .738 .860 .649 .509 .389 .245 r_peak,r_snr = .3754913 3.21836 Correlation Surface of oversamples image at 646 3846 1.998 2.418 2.974 3.587 4.000 3.935 3.493 2.953 2.448 1.913 2.303 2.841 3.400 3.698 3.571 3.198 2.807 2.431 1.842 2.195 2.693 3.176 3.359 3.189 2.881 2.605 2.337 1.857 2.180 2.636 3.053 3.153 2.961 2.699 2.477 2.244 1.919 2.219 2.637 3.008 3.079 2.908 2.692 2.480 2.205 646 .156 3846 -6.813 3.21836 .018468 .125851 -.005657 Correlation Surface at 746 3846 .015 .026 .140 .256 .383 .343 .195 .097 .056 .000 .026 .167 .344 .377 .324 .246 .131 .071 .006 .015 .120 .417 .504 .348 .200 .102 .068 .026 .009 .092 .596 .760 .341 .091 .015 .025 .010 .003 .111 .809 1.000 .292 .039 .007 .001 .008 .007 .170 .728 .852 .245 .036 .013 .013 .075 .130 .336 .461 .464 .196 .041 .004 .003 .212 .471 .495 .320 .332 .164 .021 .002 .000 .245 .584 .404 .192 .363 .176 .005 .000 .005 r_peak,r_snr = .1404121 10.04161 Correlation Surface of oversamples image at 746 3846 .016 .077 .178 .302 .357 .263 .128 .041 .010 .006 .082 .250 .447 .525 .382 .182 .046 .001 .004 .113 .378 .662 .737 .515 .239 .058 .000 .008 .162 .520 .879 .924 .623 .288 .075 .000 .021 .215 .606 .982 1.000 .660 .313 .097 .005 .051 .249 .580 .896 .914 .617 .312 .117 .017 .114 .271 .486 .698 .729 .530 .301 .135 .033 .228 .303 .403 .525 .562 .455 .295 .151 .049 .371 .335 .348 .421 .471 .419 .294 .155 .054 746 -.219 3846 .500 10.04161 .021148 .128003 .012825 Correlation Surface at 846 3846 .108 .296 .278 .192 .035 .020 .096 .204 .101 .037 .153 .373 .494 .201 .083 .267 .219 .106 .004 .002 .103 .588 .473 .018 .149 .073 .000 .006 .000 .000 .380 .763 .091 .000 .000 .060 .010 .054 .000 .184 1.000 .650 .135 .046 .147 .016 .125 .026 .135 .972 .950 .158 .051 .213 .028 .059 .020 .145 .778 .530 .018 .006 .093 .016 .007 .000 .073 .686 .322 .040 .231 .000 .000 .000 .001 .000 .537 .393 .165 .457 .017 r_peak,r_snr = 7.67381E-02 6.81185 Correlation Surface of oversamples image at 846 3846 .078 .358 .580 .437 .164 .026 .001 .000 .003 .013 .246 .575 .560 .305 .111 .037 .020 .018 .000 .156 .561 .730 .542 .289 .141 .076 .043 .004 .096 .517 .878 .821 .534 .293 .157 .078 .003 .065 .441 .906 1.000 .740 .436 .233 .113 .000 .056 .358 .793 .962 .787 .506 .277 .132 .009 .063 .294 .625 .772 .673 .477 .274 .121 .030 .075 .251 .490 .578 .497 .365 .208 .074 .040 .070 .209 .407 .457 .345 .215 .093 .012 846 .375 3846 -1.375 6.81185 .451504 3.899063 -1.273684 Correlation Surface at 946 3846 .020 .011 .003 .076 .152 .012 .110 .031 .044 .012 .026 .092 .002 .233 .021 .145 .099 .005 .002 .079 .330 .018 .401 .503 .127 .018 .133 .297 .045 .653 1.000 .272 .026 .143 .276 .125 .681 .899 .357 .083 .291 .434 .055 .210 .295 .368 .216 .382 .526 .018 .020 .001 .209 .157 .113 .165 .141 .197 .032 .113 .041 .002 .015 r_peak,r_snr = 9.02759E-02 7.45983 Correlation Surface of oversamples image at 946 3846 .001 .013 .057 .140 .177 .117 .062 .033 .013 .005 .025 .108 .288 .390 .276 .138 .063 .024 .024 .053 .186 .488 .685 .506 .243 .094 .033 .061 .099 .278 .669 .933 .707 .337 .120 .039 .102 .150 .353 .749 1.000 .767 .377 .141 .051 .122 .174 .360 .667 .830 .641 .342 .155 .076 .111 .144 .271 .436 .499 .393 .250 .157 .109 .076 .077 .126 .168 .170 .147 .134 .137 .129 .033 .018 .019 .013 .007 .012 .042 .093 .114 946 -13.500 3846 9.406 7.45983 .035016 .120101 -.003193 Correlation Surface at 1046 3846 .071 .015 .000 .108 .000 .007 .000 .000 .030 .052 .003 .005 .029 .024 .057 .001 .004 .016 .006 .000 .008 .021 .140 .138 .000 .055 .025 .000 .002 .000 .093 .479 .280 .001 .058 .022 .003 .001 .019 .101 1.000 .526 .001 .005 .001 .012 .000 .016 .076 .969 .605 .035 .017 .007 .008 .021 .001 .033 .298 .202 .072 .059 .008 .061 .054 .020 .000 .003 .000 .043 .076 .001 .013 .027 .025 .007 .021 .028 .025 .118 .026 r_peak,r_snr = .1116603 18.33902 Correlation Surface of oversamples image at 1046 3846 .002 .001 .004 .088 .259 .249 .087 .010 .000 .000 .021 .087 .260 .457 .407 .187 .055 .010 .000 .059 .228 .490 .673 .541 .273 .114 .045 .004 .077 .363 .729 .869 .625 .317 .158 .091 .011 .074 .452 .915 1.000 .654 .317 .175 .129 .016 .061 .455 .944 .984 .601 .281 .169 .152 .016 .039 .354 .754 .759 .439 .200 .138 .151 .013 .016 .200 .436 .412 .221 .103 .097 .136 .010 .001 .061 .145 .116 .050 .030 .061 .123 1046 .313 3846 -.719 18.33903 .013226 .088686 -.008297 Correlation Surface at 1146 3846 .172 .143 .017 .023 .102 .055 .016 .017 .050 .115 .154 .047 .006 .199 .129 .095 .068 .042 .087 .177 .062 .004 .274 .163 .093 .067 .035 .051 .124 .055 .027 .570 .339 .062 .016 .023 .015 .022 .018 .087 1.000 .677 .083 .000 .005 .001 .001 .000 .065 .800 .616 .075 .010 .000 .001 .000 .001 .008 .259 .213 .014 .033 .008 .007 .028 .039 .001 .052 .032 .001 .036 .037 .018 .088 .112 .006 .006 .000 .003 .011 .059 r_peak,r_snr = .1248013 5.15913 Correlation Surface of oversamples image at 1146 3846 .040 .000 .095 .313 .382 .265 .153 .100 .068 .033 .003 .145 .440 .538 .369 .179 .076 .029 .018 .015 .228 .617 .751 .522 .235 .070 .010 .005 .038 .318 .780 .940 .669 .299 .072 .002 .000 .058 .364 .839 1.000 .724 .326 .068 .000 .002 .062 .324 .728 .867 .632 .279 .048 .003 .003 .046 .221 .495 .593 .426 .173 .016 .017 .000 .025 .121 .270 .318 .213 .067 .000 .050 .002 .008 .057 .122 .131 .070 .009 .013 .089 1146 .406 3846 .406 5.15913 .011693 .058923 -.002514 Correlation Surface at 1246 3846 .015 .045 .016 .057 .304 .168 .031 .008 .112 .039 .053 .004 .099 .429 .302 .073 .000 .090 .038 .050 .001 .176 .590 .379 .067 .001 .061 .024 .041 .002 .253 .888 .471 .037 .001 .057 .034 .047 .013 .195 1.000 .551 .023 .011 .063 .063 .069 .031 .091 .694 .502 .029 .018 .054 .064 .078 .026 .062 .396 .359 .049 .007 .037 .031 .066 .014 .077 .321 .256 .052 .003 .039 .022 .071 .015 .066 .314 .209 .025 .013 .067 r_peak,r_snr = .2626349 19.53308 Correlation Surface of oversamples image at 1246 3846 .000 .044 .176 .361 .516 .528 .383 .195 .067 .000 .059 .238 .481 .655 .628 .425 .201 .061 .000 .064 .289 .610 .824 .756 .478 .206 .054 .001 .055 .303 .694 .964 .876 .530 .211 .047 .005 .038 .275 .686 1.000 .925 .554 .209 .039 .012 .023 .222 .594 .910 .877 .536 .198 .031 .016 .013 .168 .468 .740 .748 .478 .179 .026 .016 .009 .130 .359 .569 .593 .397 .156 .023 .012 .009 .113 .296 .454 .471 .324 .136 .024 1246 .156 3846 -.063 19.53308 .003293 .026026 -.002138 Correlation Surface at 1346 3846 .005 .000 .039 .335 .650 .455 .208 .119 .079 .003 .000 .027 .282 .582 .429 .223 .135 .095 .003 .001 .020 .264 .590 .424 .229 .151 .099 .004 .001 .021 .320 .789 .503 .218 .150 .094 .003 .001 .029 .403 1.000 .618 .219 .149 .092 .002 .000 .037 .413 .944 .610 .237 .163 .092 .000 .002 .038 .327 .702 .473 .230 .173 .095 .001 .004 .036 .247 .535 .366 .204 .171 .103 .003 .003 .037 .221 .495 .362 .197 .172 .113 r_peak,r_snr = .4371716 10.37065 Correlation Surface of oversamples image at 1346 3846 .028 .121 .317 .544 .655 .596 .447 .314 .231 .026 .125 .338 .597 .726 .649 .470 .315 .226 .025 .130 .366 .669 .831 .740 .519 .332 .227 .024 .134 .392 .736 .936 .842 .583 .359 .235 .024 .138 .407 .774 1.000 .912 .634 .387 .249 .025 .137 .403 .765 .993 .916 .649 .404 .265 .025 .130 .376 .705 .909 .847 .615 .399 .273 .025 .118 .332 .614 .783 .732 .547 .372 .268 .026 .103 .284 .521 .658 .616 .472 .337 .254 1346 .125 3846 .219 10.37066 .001689 .014732 .000037 Correlation Surface at 1446 3846 .312 .353 .070 .009 .167 .170 .043 .029 .311 .301 .357 .064 .065 .231 .123 .005 .086 .354 .229 .308 .054 .192 .469 .192 .015 .106 .361 .160 .302 .084 .272 .900 .410 .068 .077 .280 .130 .377 .196 .166 1.000 .432 .067 .038 .155 .131 .399 .277 .051 .588 .180 .007 .016 .091 .122 .280 .189 .018 .173 .010 .019 .016 .095 .088 .118 .060 .025 .036 .024 .068 .026 .123 .097 .042 .006 .059 .027 .044 .050 .031 .181 r_peak,r_snr = .1349135 9.16779 Correlation Surface of oversamples image at 1446 3846 .072 .005 .164 .332 .323 .204 .091 .025 .000 .083 .004 .200 .476 .519 .364 .198 .088 .014 .102 .001 .212 .612 .762 .579 .337 .169 .045 .139 .001 .186 .681 .961 .765 .438 .214 .061 .206 .014 .126 .630 1.000 .811 .430 .186 .049 .284 .044 .065 .492 .860 .691 .322 .113 .023 .336 .075 .026 .329 .611 .470 .178 .040 .003 .321 .084 .011 .201 .366 .251 .065 .004 .002 .242 .061 .008 .126 .192 .101 .010 .003 .015 1446 .063 3846 -.125 9.16779 .009137 .073155 -.001939 Correlation Surface at 1546 3846 .281 .106 .002 .137 .525 .549 .250 .051 .086 .146 .013 .176 .326 .535 .407 .405 .266 .208 .001 .031 .436 .585 .572 .142 .191 .190 .076 .010 .095 .359 .757 .793 .193 .129 .055 .000 .020 .014 .145 .710 1.000 .341 .141 .035 .002 .199 .031 .061 .503 .822 .259 .100 .147 .038 .220 .061 .104 .336 .361 .075 .100 .320 .087 .024 .014 .162 .272 .135 .007 .122 .257 .007 .113 .015 .050 .078 .115 .002 .030 .092 .009 r_peak,r_snr = 7.65091E-02 5.58391 Correlation Surface of oversamples image at 1546 3846 1.312 2.270 2.666 1.432 .074 .045 .132 .384 .231 .009 .912 .829 .160 .012 .054 6.125 5.774 2.265 .413 .064 1546 -5.781 3846 -7.063 5.58391 .072581 .492604 -.065299 Correlation Surface at 1646 3846 .112 .083 .135 .332 .435 .278 .232 .171 .164 .105 .074 .101 .272 .434 .319 .256 .143 .107 .089 .057 .071 .255 .493 .374 .260 .139 .094 .093 .052 .060 .314 .762 .507 .253 .145 .104 .113 .076 .091 .408 1.000 .627 .298 .202 .142 .119 .117 .159 .459 .872 .543 .328 .288 .226 .125 .142 .198 .450 .635 .349 .262 .268 .274 .172 .157 .197 .430 .533 .250 .197 .191 .224 .227 .169 .194 .413 .504 .289 .226 .181 .166 r_peak,r_snr = .3108358 6.89046 Correlation Surface of oversamples image at 1646 3846 .045 .086 .190 .342 .429 .369 .250 .172 .134 .036 .083 .216 .428 .560 .484 .312 .185 .118 .033 .088 .259 .551 .750 .653 .405 .215 .115 .038 .100 .302 .661 .925 .818 .502 .254 .128 .052 .122 .336 .715 1.000 .898 .560 .289 .155 .077 .151 .359 .700 .946 .852 .549 .306 .187 .102 .177 .365 .636 .808 .715 .473 .290 .203 .121 .196 .363 .569 .666 .564 .374 .245 .192 .129 .204 .359 .523 .562 .444 .283 .187 .157 1646 .125 3846 .031 6.89046 .003803 .021799 .001099 Correlation Surface at 1746 3846 .028 .011 .015 .045 .063 .065 .044 .010 .006 .010 .004 .036 .123 .209 .112 .036 .013 .008 .004 .001 .062 .254 .556 .257 .032 .006 .008 .009 .003 .073 .386 .962 .475 .055 .004 .003 .021 .000 .047 .397 1.000 .504 .082 .008 .003 .019 .006 .018 .243 .601 .279 .064 .010 .007 .004 .005 .012 .120 .252 .086 .016 .001 .021 .000 .001 .017 .096 .131 .024 .000 .010 .054 .002 .000 .025 .112 .109 .015 .005 .035 .083 r_peak,r_snr = .2633297 22.40326 Correlation Surface of oversamples image at 1746 3846 .040 .094 .174 .277 .356 .338 .214 .082 .020 .060 .135 .259 .430 .561 .522 .318 .116 .025 .082 .180 .351 .595 .782 .721 .439 .164 .038 .100 .217 .430 .731 .953 .872 .535 .212 .055 .102 .230 .466 .787 1.000 .899 .559 .236 .069 .085 .212 .442 .735 .902 .787 .490 .219 .072 .061 .173 .373 .605 .710 .594 .365 .172 .065 .040 .132 .287 .447 .499 .395 .236 .116 .049 .026 .099 .213 .313 .329 .245 .139 .069 .032 1746 .125 3846 .375 22.40326 .004272 .021688 .000338 Correlation Surface at 1846 3846 .032 .007 .019 .194 .447 .437 .194 .072 .023 .033 .006 .012 .172 .464 .452 .200 .072 .020 .037 .003 .010 .179 .541 .467 .179 .055 .005 .038 .001 .016 .257 .804 .553 .163 .039 .000 .035 .000 .031 .322 1.000 .635 .155 .035 .001 .031 .000 .051 .282 .770 .533 .136 .032 .003 .026 .001 .061 .199 .424 .342 .093 .018 .002 .018 .002 .064 .161 .281 .251 .068 .008 .001 .008 .007 .068 .168 .250 .228 .069 .007 .002 r_peak,r_snr = .4451347 13.45662 Correlation Surface of oversamples image at 1846 3846 .004 .035 .135 .319 .508 .565 .464 .310 .180 .005 .038 .161 .397 .613 .634 .477 .296 .166 .008 .049 .205 .512 .773 .751 .517 .295 .158 .017 .067 .252 .622 .933 .877 .569 .302 .154 .029 .087 .281 .665 1.000 .940 .596 .304 .150 .043 .105 .277 .609 .918 .884 .569 .287 .140 .054 .115 .247 .486 .726 .729 .489 .250 .120 .060 .116 .208 .357 .518 .546 .391 .206 .096 .063 .114 .176 .263 .365 .402 .312 .171 .075 1846 .188 3846 .000 13.45663 .001428 .006404 .000114 Correlation Surface at 1946 3846 .004 .001 .012 .128 .292 .126 .023 .005 .000 .001 .001 .008 .094 .266 .142 .014 .000 .003 .001 .004 .026 .164 .344 .162 .006 .002 .005 .002 .007 .035 .300 .709 .255 .002 .007 .004 .005 .009 .028 .296 1.000 .393 .002 .007 .001 .008 .016 .033 .184 .693 .356 .006 .003 .000 .008 .014 .043 .131 .334 .197 .008 .002 .000 .005 .007 .040 .125 .218 .102 .003 .001 .000 .004 .010 .043 .108 .169 .065 .000 .003 .000 r_peak,r_snr = .3953299 34.56917 Correlation Surface of oversamples image at 1946 3846 .013 .037 .111 .233 .306 .266 .153 .052 .007 .021 .056 .167 .360 .476 .391 .198 .052 .003 .023 .066 .220 .519 .720 .584 .272 .059 .001 .020 .063 .241 .631 .937 .779 .353 .070 .001 .017 .051 .218 .627 1.000 .870 .401 .078 .001 .016 .040 .169 .513 .867 .797 .384 .075 .000 .017 .036 .124 .363 .628 .606 .311 .064 .000 .020 .037 .099 .249 .414 .407 .221 .049 .000 .021 .042 .093 .190 .282 .269 .149 .034 .000 1946 .125 3846 -.063 34.56917 .001345 .005086 -.000391 Correlation Surface at 2046 3846 .019 .037 .054 .001 .079 .063 .008 .005 .009 .018 .033 .054 .003 .138 .086 .011 .003 .013 .010 .031 .057 .016 .340 .172 .009 .005 .012 .010 .040 .057 .052 .780 .381 .011 .007 .008 .016 .049 .038 .088 1.000 .518 .015 .008 .008 .015 .040 .012 .088 .618 .330 .011 .005 .009 .013 .019 .001 .068 .235 .091 .000 .002 .007 .019 .012 .001 .052 .097 .014 .009 .004 .001 .023 .021 .002 .045 .052 .003 .013 .005 .000 r_peak,r_snr = .3405661 42.59167 Correlation Surface of oversamples image at 2046 3846 .012 .017 .137 .250 .231 .121 .031 .001 .006 .020 .019 .202 .405 .388 .200 .049 .001 .008 .026 .024 .287 .620 .615 .320 .078 .002 .008 .027 .029 .363 .829 .855 .455 .116 .006 .005 .022 .034 .393 .933 1.000 .550 .149 .012 .002 .015 .037 .364 .870 .964 .552 .161 .017 .001 .007 .039 .294 .677 .763 .453 .142 .019 .000 .001 .042 .217 .452 .501 .305 .100 .016 .000 .001 .048 .158 .273 .282 .167 .054 .008 .000 2046 .313 3846 -.375 42.59168 .001441 .007074 .000242 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .001 .001 .014 .180 .384 .305 .151 .044 .016 .003 .002 .012 .185 .423 .258 .098 .034 .009 .012 .001 .016 .306 .646 .322 .085 .037 .018 .021 .003 .039 .465 .898 .447 .136 .065 .048 .016 .020 .094 .543 1.000 .515 .181 .096 .077 .009 .030 .132 .503 .963 .532 .169 .092 .076 .011 .020 .107 .418 .875 .525 .137 .069 .065 .016 .012 .071 .363 .794 .503 .118 .056 .061 .013 .011 .052 .311 .703 .488 .114 .044 .042 r_peak,r_snr = .2770396 9.87184 Correlation Surface of oversamples image at 146 4246 .026 .147 .417 .710 .791 .628 .375 .183 .080 .029 .166 .478 .814 .897 .696 .407 .197 .089 .041 .191 .522 .878 .960 .733 .422 .207 .101 .066 .222 .548 .903 .991 .755 .427 .209 .108 .105 .260 .561 .897 1.000 .776 .436 .208 .109 .146 .293 .559 .870 .992 .795 .451 .206 .103 .169 .305 .540 .828 .971 .809 .468 .207 .095 .168 .296 .513 .790 .950 .820 .487 .210 .089 .149 .276 .491 .766 .939 .832 .507 .218 .086 146 -.125 4246 -2.219 9.87184 .005183 .183018 -.003100 Correlation Surface at 246 4246 .006 .008 .053 .142 .419 .687 .359 .238 .275 .167 .084 .113 .157 .368 .514 .519 .397 .254 .198 .056 .115 .262 .438 .333 .405 .484 .243 .075 .004 .108 .517 .737 .464 .386 .623 .357 .003 .001 .162 .814 1.000 .856 .584 .705 .515 .001 .001 .237 .705 .781 .979 .713 .530 .383 .005 .045 .282 .407 .439 .750 .744 .435 .212 .051 .155 .265 .329 .444 .659 .774 .578 .247 .100 .197 .212 .416 .736 .708 .650 .675 .457 r_peak,r_snr = .1161551 4.39724 Correlation Surface of oversamples image at 246 4246 2.415 2.055 1.700 1.567 1.514 2.354 2.341 2.174 2.052 1.910 2.248 2.525 2.631 2.664 2.544 2.223 2.671 3.041 3.335 3.396 246 -.281 4246 -2.156 4.39724 .294674 .141364 -.084061 Correlation Surface at 346 4246 .007 .289 .412 .588 .525 .028 .034 .010 .018 .167 .040 .270 .558 .760 .028 .059 .006 .126 .252 .014 .070 .502 .818 .036 .097 .000 .111 .102 .032 .016 .639 .921 .080 .078 .045 .018 .019 .009 .046 .802 1.000 .198 .006 .064 .000 .012 .005 .094 .637 .681 .188 .009 .013 .000 .036 .005 .038 .269 .227 .046 .006 .001 .001 .107 .012 .001 .054 .050 .001 .000 .001 .044 .131 .051 .027 .009 .035 .000 .002 .013 .099 r_peak,r_snr = .1082815 12.56091 Correlation Surface of oversamples image at 346 4246 .245 .364 .480 .658 .818 .705 .302 .029 .011 .129 .275 .449 .677 .875 .785 .362 .045 .006 .053 .188 .415 .700 .922 .830 .396 .056 .004 .014 .122 .385 .728 .963 .864 .423 .068 .002 .002 .085 .374 .759 1.000 .906 .472 .097 .000 .000 .071 .379 .774 .993 .916 .531 .151 .013 .000 .074 .389 .751 .905 .844 .553 .217 .049 .000 .082 .387 .680 .749 .684 .500 .255 .093 .001 .074 .334 .550 .549 .464 .358 .221 .105 346 -.344 4246 .219 12.56091 .026203 .202264 -.015109 Correlation Surface at 446 4246 .359 .448 .594 .717 .698 .490 .385 .466 .523 .296 .391 .594 .801 .798 .557 .416 .448 .498 .284 .375 .573 .892 .907 .651 .516 .469 .471 .339 .423 .576 .951 .991 .714 .591 .508 .476 .390 .491 .618 .923 1.000 .750 .604 .515 .481 .352 .475 .623 .817 .950 .795 .625 .506 .453 .286 .384 .550 .714 .899 .853 .686 .530 .447 .245 .304 .450 .649 .842 .858 .720 .569 .489 .234 .275 .385 .588 .766 .781 .699 .597 .547 r_peak,r_snr = .4183286 2.28258 Correlation Surface of oversamples image at 446 4246 .490 .624 .733 .810 .845 .780 .624 .477 .414 .458 .603 .741 .848 .896 .830 .674 .531 .471 .431 .572 .734 .875 .941 .877 .724 .591 .537 .418 .545 .718 .892 .978 .921 .776 .649 .597 .427 .532 .701 .892 1.000 .958 .825 .702 .642 .454 .539 .687 .872 .994 .975 .864 .746 .673 .488 .558 .675 .835 .960 .970 .888 .782 .696 .514 .579 .667 .792 .908 .945 .898 .810 .718 .515 .589 .659 .750 .848 .904 .893 .830 .744 446 -.344 4246 -.750 2.28258 .027324 .433104 -.082658 Correlation Surface at 546 4246 .167 .237 .369 .520 .623 .557 .435 .285 .156 .228 .293 .410 .517 .608 .508 .370 .244 .162 .200 .271 .411 .580 .702 .561 .339 .200 .151 .136 .206 .381 .699 .892 .696 .384 .203 .151 .148 .221 .386 .762 1.000 .794 .469 .264 .180 .217 .304 .425 .739 .944 .792 .497 .315 .201 .232 .317 .427 .665 .860 .759 .466 .333 .220 .185 .258 .373 .605 .837 .757 .456 .363 .287 .155 .243 .355 .576 .812 .715 .467 .413 .413 r_peak,r_snr = .3402783 4.10431 Correlation Surface of oversamples image at 546 4246 .429 .505 .598 .696 .754 .719 .595 .444 .320 .394 .504 .635 .759 .824 .782 .644 .470 .323 .356 .499 .674 .832 .906 .856 .704 .514 .347 .324 .491 .702 .890 .972 .916 .757 .560 .383 .310 .484 .713 .912 1.000 .945 .788 .596 .418 .318 .486 .711 .901 .987 .943 .798 .617 .446 .344 .492 .695 .865 .946 .918 .790 .622 .462 .374 .497 .669 .818 .898 .889 .779 .620 .469 .395 .501 .649 .782 .865 .875 .783 .629 .482 546 .063 4246 1.125 4.10431 .012420 .076723 -.003381 Correlation Surface at 646 4246 .826 .897 .950 .863 .797 .748 .728 .660 .595 .783 .890 .953 .914 .827 .755 .699 .676 .589 .750 .848 .861 .907 .868 .746 .690 .697 .604 .781 .865 .828 .887 .936 .768 .701 .734 .685 .762 .846 .860 .906 1.000 .850 .703 .741 .754 .694 .749 .839 .893 .956 .885 .695 .710 .726 .711 .692 .780 .835 .830 .827 .707 .689 .631 r_peak,r_snr = .4683204 1.74276 Correlation Surface of oversamples image at 646 4246 .781 .825 .896 .937 .925 .860 .774 .706 .675 .764 .807 .892 .951 .947 .885 .797 .723 .690 .771 .804 .894 .969 .976 .915 .821 .740 .704 .797 .816 .899 .983 .999 .939 .836 .746 .709 .828 .833 .899 .980 1.000 .940 .833 .739 .702 .845 .839 .880 .947 .967 .914 .815 .724 .686 .848 .830 .844 .889 .908 .872 .796 .719 .678 .843 .818 .805 .822 .835 .821 .779 .726 .685 .837 .808 .773 .760 .761 .763 .756 .733 .697 646 1.375 4246 12.281 1.74276 .015837 .067454 -.010918 Correlation Surface at 746 4246 .179 .172 .230 .403 .317 .187 .178 .247 .312 .185 .135 .178 .412 .417 .261 .216 .242 .308 .160 .112 .149 .433 .632 .469 .257 .231 .333 .135 .115 .144 .478 .877 .670 .252 .163 .297 .134 .122 .132 .475 1.000 .683 .248 .146 .247 .135 .126 .103 .362 .939 .591 .253 .214 .245 .141 .135 .096 .260 .806 .572 .255 .247 .235 .157 .120 .114 .230 .663 .625 .286 .219 .204 .166 .078 .108 .243 .516 .591 .324 .226 .224 r_peak,r_snr = .2426573 5.28183 Correlation Surface of oversamples image at 746 4246 .116 .221 .385 .530 .574 .502 .376 .270 .212 .117 .235 .435 .641 .736 .673 .509 .342 .227 .120 .251 .486 .747 .887 .828 .625 .402 .239 .117 .252 .511 .812 .982 .914 .679 .430 .249 .106 .230 .492 .816 1.000 .914 .659 .417 .254 .091 .192 .434 .763 .958 .858 .594 .374 .251 .077 .150 .356 .675 .884 .790 .525 .323 .235 .070 .119 .288 .584 .811 .740 .481 .284 .212 .071 .106 .244 .515 .753 .717 .470 .266 .190 746 .094 4246 -2.156 5.28183 .008289 .149101 -.003642 Correlation Surface at 846 4246 .357 .479 .587 .729 .669 .526 .328 .232 .278 .369 .478 .565 .733 .677 .486 .347 .262 .247 .395 .505 .570 .749 .781 .572 .438 .339 .253 .409 .514 .578 .787 .925 .731 .542 .400 .286 .399 .466 .573 .815 1.000 .825 .583 .420 .332 .385 .444 .584 .827 .994 .813 .540 .408 .377 .386 .475 .601 .808 .948 .765 .487 .386 .381 .380 .459 .562 .720 .840 .688 .465 .385 .350 .354 .370 .452 .608 .718 .608 .454 .393 .316 r_peak,r_snr = .4021547 2.65953 Correlation Surface of oversamples image at 846 4246 .430 .522 .659 .790 .833 .754 .617 .488 .392 .449 .546 .696 .844 .911 .852 .715 .568 .444 .455 .567 .731 .891 .967 .920 .785 .624 .478 .454 .584 .760 .922 .997 .953 .820 .650 .490 .455 .598 .776 .932 1.000 .958 .827 .650 .482 .464 .611 .779 .920 .983 .944 .814 .632 .462 .483 .622 .773 .896 .955 .919 .789 .604 .438 .501 .623 .753 .859 .913 .879 .752 .573 .418 .499 .603 .711 .800 .848 .818 .700 .536 .398 846 .063 4246 .313 2.65953 .011627 .179433 -.006857 Correlation Surface at 946 4246 .015 .044 .201 .637 .481 .237 .122 .123 .008 .037 .035 .191 .940 .829 .318 .124 .070 .000 .067 .017 .106 .842 .884 .286 .034 .000 .005 .062 .033 .093 .678 .900 .356 .016 .012 .001 .029 .094 .160 .634 1.000 .613 .053 .013 .001 .000 .072 .154 .528 .868 .641 .100 .011 .017 .036 .002 .051 .333 .532 .287 .070 .001 .023 .057 .006 .004 .162 .255 .058 .032 .009 .001 .023 .002 .000 .044 .073 .008 .018 .040 .032 r_peak,r_snr = .1166258 10.76638 Correlation Surface of oversamples image at 946 4246 .001 .125 .446 .668 .597 .312 .059 .001 .038 .002 .096 .394 .692 .723 .448 .118 .001 .045 .017 .113 .397 .749 .882 .628 .213 .013 .030 .057 .156 .433 .804 1.000 .768 .293 .029 .021 .082 .183 .453 .803 1.000 .772 .292 .026 .026 .064 .166 .421 .718 .855 .624 .205 .008 .043 .031 .130 .361 .583 .621 .391 .092 .000 .058 .013 .109 .315 .455 .393 .177 .016 .009 .052 .007 .099 .277 .340 .210 .041 .003 .029 .032 946 .500 4246 3.250 10.76639 .079684 .670980 -.147691 Correlation Surface at 1046 4246 .034 .042 .003 .069 .381 .276 .065 .021 .007 .043 .011 .002 .052 .478 .364 .113 .012 .001 .009 .001 .004 .092 .571 .308 .131 .020 .012 .003 .004 .000 .230 .767 .266 .092 .031 .009 .017 .008 .001 .343 1.000 .308 .084 .038 .001 .040 .014 .034 .238 .985 .389 .132 .075 .008 .063 .004 .090 .071 .643 .337 .165 .127 .057 .075 .002 .051 .023 .299 .137 .094 .124 .115 .054 .015 .002 .049 .188 .032 .020 .090 .120 r_peak,r_snr = .1657376 11.36614 Correlation Surface of oversamples image at 1046 4246 .015 .002 .092 .324 .490 .392 .188 .101 .113 .011 .011 .165 .463 .613 .465 .241 .146 .151 .011 .021 .238 .613 .766 .574 .319 .199 .177 .019 .021 .284 .735 .915 .685 .393 .245 .190 .044 .009 .272 .779 1.000 .753 .433 .264 .190 .093 .000 .204 .713 .979 .755 .432 .257 .180 .157 .012 .116 .564 .856 .691 .402 .236 .165 .214 .045 .046 .387 .665 .568 .339 .199 .144 .248 .086 .010 .231 .455 .406 .243 .141 .109 1046 -.031 4246 -.375 11.36615 .007258 .199324 -.006603 Correlation Surface at 1246 4246 .040 .006 .011 .002 .234 .471 .250 .103 .113 .034 .003 .003 .014 .249 .399 .324 .137 .095 .008 .000 .003 .041 .342 .340 .323 .146 .054 .001 .010 .015 .077 .700 .547 .286 .139 .036 .001 .011 .025 .087 1.000 .868 .283 .151 .057 .005 .001 .016 .054 .642 .594 .213 .129 .077 .007 .000 .012 .018 .175 .111 .091 .077 .055 .007 .008 .028 .001 .062 .014 .024 .029 .037 .043 .046 .053 .001 .089 .056 .014 .009 .040 r_peak,r_snr = .1561997 9.20454 Correlation Surface of oversamples image at 1246 4246 .005 .011 .088 .163 .175 .187 .241 .261 .189 .004 .026 .160 .301 .322 .291 .297 .296 .219 .002 .047 .263 .513 .569 .477 .400 .348 .261 .001 .069 .360 .724 .842 .698 .519 .397 .297 .000 .081 .400 .823 1.000 .841 .591 .412 .305 .000 .083 .370 .754 .940 .810 .563 .374 .276 .001 .073 .289 .558 .685 .599 .428 .289 .217 .000 .056 .201 .347 .390 .332 .252 .188 .148 .000 .039 .137 .202 .187 .141 .116 .105 .092 1246 .500 4246 .125 9.20454 .009400 .034615 -.001149 Correlation Surface at 1346 4246 .001 .053 .133 .247 .375 .400 .250 .086 .033 .001 .038 .080 .174 .356 .386 .275 .097 .027 .000 .029 .062 .168 .465 .491 .336 .105 .015 .000 .030 .094 .309 .766 .729 .404 .105 .007 .000 .028 .131 .487 1.000 .903 .406 .111 .010 .000 .028 .123 .438 .832 .780 .355 .126 .018 .001 .032 .106 .290 .530 .522 .265 .126 .015 .000 .038 .110 .218 .415 .383 .173 .095 .009 .000 .039 .134 .238 .426 .374 .133 .065 .013 r_peak,r_snr = .3196521 8.68878 Correlation Surface of oversamples image at 1346 4246 .094 .171 .295 .415 .470 .445 .374 .274 .154 .118 .220 .387 .545 .605 .553 .446 .316 .174 .166 .305 .517 .712 .773 .686 .531 .364 .198 .223 .403 .648 .866 .925 .806 .607 .405 .221 .266 .475 .731 .947 1.000 .863 .638 .419 .233 .276 .488 .727 .920 .965 .827 .606 .399 .230 .254 .442 .646 .804 .837 .715 .523 .348 .213 .219 .371 .534 .656 .677 .574 .419 .284 .185 .187 .306 .437 .535 .545 .455 .329 .226 .155 1346 .375 4246 .094 8.68878 .007519 .017286 .001338 Correlation Surface at 1446 4246 .005 .003 .043 .160 .213 .004 .001 .033 .091 .017 .001 .068 .216 .271 .049 .002 .002 .011 .036 .025 .033 .299 .463 .159 .002 .000 .001 .009 .056 .003 .359 .869 .325 .033 .009 .000 .007 .036 .001 .257 1.000 .416 .071 .031 .000 .030 .003 .001 .085 .555 .279 .061 .041 .003 .027 .001 .003 .021 .177 .127 .028 .052 .026 .013 .002 .015 .021 .086 .069 .009 .046 .059 .003 .000 .009 .024 .079 .051 .006 .033 .035 r_peak,r_snr = .1925949 25.92309 Correlation Surface of oversamples image at 1446 4246 .013 .113 .264 .366 .363 .287 .161 .039 .000 .000 .072 .261 .440 .468 .367 .223 .095 .021 .010 .043 .274 .570 .655 .495 .284 .145 .066 .030 .023 .274 .693 .870 .645 .337 .173 .106 .040 .011 .240 .719 1.000 .758 .368 .174 .118 .035 .004 .173 .605 .945 .761 .362 .153 .102 .020 .001 .097 .393 .702 .630 .312 .121 .074 .006 .001 .041 .193 .406 .430 .239 .091 .051 .000 .001 .015 .073 .190 .252 .169 .068 .036 1446 .031 4246 .125 25.92310 .005671 .027792 -.002815 Correlation Surface at 1546 4246 .006 .005 .056 .202 .325 .122 .003 .022 .034 .001 .004 .039 .191 .349 .118 .002 .015 .026 .001 .004 .034 .251 .495 .188 .011 .008 .024 .001 .002 .027 .358 .843 .398 .040 .003 .034 .001 .001 .018 .348 1.000 .607 .076 .000 .031 .002 .000 .008 .222 .657 .522 .113 .005 .011 .007 .004 .002 .138 .346 .302 .139 .024 .001 .015 .010 .001 .137 .304 .222 .126 .028 .001 .039 .012 .012 .178 .366 .271 .108 .010 .006 r_peak,r_snr = .2691336 20.89499 Correlation Surface of oversamples image at 1546 4246 .045 .110 .221 .330 .348 .239 .099 .021 .001 .044 .120 .267 .421 .456 .323 .148 .043 .005 .048 .140 .333 .560 .637 .481 .244 .086 .017 .053 .161 .397 .703 .853 .692 .383 .149 .036 .056 .173 .426 .780 1.000 .872 .519 .213 .055 .055 .167 .402 .739 .985 .914 .581 .250 .069 .048 .148 .340 .607 .819 .795 .541 .251 .078 .036 .120 .269 .453 .596 .589 .429 .225 .083 .023 .093 .211 .334 .414 .403 .312 .190 .090 1546 .125 4246 -.250 20.89499 .004580 .017751 -.002006 Correlation Surface at 1646 4246 .000 .002 .049 .212 .427 .426 .194 .043 .004 .000 .003 .053 .258 .504 .447 .182 .033 .001 .000 .002 .054 .318 .632 .477 .169 .026 .000 .001 .001 .058 .391 .826 .558 .178 .026 .000 .002 .002 .067 .449 1.000 .665 .199 .030 .001 .002 .002 .071 .444 .986 .688 .205 .030 .002 .001 .003 .069 .380 .777 .558 .176 .028 .002 .000 .003 .063 .321 .580 .408 .137 .025 .003 .000 .003 .059 .284 .492 .348 .114 .017 .001 r_peak,r_snr = .494627 13.77689 Correlation Surface of oversamples image at 1646 4246 .044 .146 .331 .562 .711 .673 .492 .293 .143 .053 .166 .375 .640 .810 .757 .541 .316 .153 .063 .188 .418 .712 .902 .837 .586 .335 .162 .072 .207 .453 .768 .972 .897 .619 .346 .167 .076 .218 .471 .791 1.000 .922 .630 .346 .165 .076 .218 .466 .773 .972 .897 .613 .335 .158 .073 .210 .442 .720 .893 .823 .568 .314 .148 .069 .198 .409 .648 .788 .722 .504 .285 .137 .064 .184 .374 .575 .680 .615 .434 .253 .124 1646 .125 4246 -.500 13.77689 .001461 .018438 -.000419 Correlation Surface at 1746 4246 .001 .002 .000 .006 .009 .001 .055 .060 .004 .115 .283 .026 .023 .022 .012 .014 .030 .026 .154 .301 .009 .179 .358 .041 .000 .010 .199 .077 .081 .002 .376 .989 .311 .004 .058 .290 .018 .020 .003 .276 1.000 .386 .036 .018 .176 .001 .008 .002 .074 .434 .217 .038 .006 .108 .002 .013 .013 .025 .081 .076 .020 .011 .042 .002 .039 .010 .037 .000 .000 .001 .010 .000 .001 .018 .000 .035 .022 .047 .018 .027 .004 r_peak,r_snr = .1172929 15.9116 Correlation Surface of oversamples image at 1746 4246 .001 .031 .096 .133 .089 .026 .006 .016 .060 .007 .081 .210 .307 .265 .128 .041 .028 .055 .026 .162 .381 .565 .550 .335 .126 .045 .038 .047 .240 .550 .820 .840 .567 .232 .062 .022 .048 .264 .636 .967 1.000 .696 .295 .070 .011 .027 .217 .598 .950 .980 .679 .290 .064 .005 .007 .136 .464 .794 .826 .567 .243 .053 .003 .001 .071 .303 .572 .619 .433 .192 .045 .002 .000 .035 .170 .355 .412 .305 .147 .039 .003 1746 -.219 4246 .188 15.91160 .014424 .070101 -.006860 Correlation Surface at 1846 4246 .518 .664 .577 .557 .595 .469 .414 .390 .268 .491 .649 .590 .532 .562 .452 .393 .391 .279 .509 .612 .548 .537 .608 .474 .348 .337 .247 .514 .564 .512 .602 .831 .624 .350 .295 .210 .492 .520 .522 .658 1.000 .799 .423 .300 .190 .494 .505 .543 .650 .848 .764 .485 .321 .179 .536 .529 .534 .603 .646 .601 .475 .345 .188 .575 .577 .525 .574 .584 .499 .420 .368 .224 .584 .600 .539 .567 .594 .474 .381 .382 .259 r_peak,r_snr = .4748768 2.89132 Correlation Surface of oversamples image at 1846 4246 .383 .386 .430 .491 .511 .457 .369 .299 .268 .364 .394 .476 .582 .625 .559 .431 .321 .261 .352 .407 .534 .697 .778 .700 .524 .364 .271 .349 .420 .581 .796 .923 .847 .631 .425 .299 .360 .433 .603 .841 1.000 .943 .718 .489 .339 .387 .449 .600 .819 .978 .948 .753 .534 .376 .427 .466 .579 .747 .876 .867 .722 .542 .396 .467 .485 .554 .661 .743 .742 .645 .512 .393 .499 .503 .539 .593 .630 .620 .554 .461 .372 1846 .156 4246 .188 2.89132 .003582 .008625 -.000536 Correlation Surface at 1946 4246 .002 .023 .023 .021 .084 .080 .037 .030 .042 .001 .009 .007 .022 .098 .083 .060 .060 .052 .005 .004 .000 .045 .233 .113 .055 .074 .047 .027 .014 .001 .122 .695 .269 .037 .042 .027 .041 .027 .000 .133 1.000 .449 .033 .007 .004 .026 .018 .000 .041 .540 .339 .044 .001 .003 .008 .006 .001 .007 .141 .147 .062 .012 .005 .001 .007 .004 .010 .057 .073 .065 .036 .000 .000 .010 .004 .016 .045 .045 .037 .030 .001 r_peak,r_snr = .2667736 40.98667 Correlation Surface of oversamples image at 1946 4246 .000 .008 .071 .206 .307 .269 .172 .117 .115 .001 .009 .107 .341 .510 .413 .217 .110 .092 .001 .009 .141 .495 .770 .611 .285 .109 .070 .001 .007 .150 .589 .975 .792 .354 .113 .053 .000 .004 .127 .561 1.000 .854 .386 .115 .042 .000 .002 .085 .430 .828 .756 .360 .111 .037 .000 .001 .046 .265 .554 .547 .284 .098 .036 .001 .001 .022 .136 .308 .331 .193 .080 .038 .003 .002 .013 .067 .158 .183 .124 .066 .044 1946 .125 4246 -.156 40.98667 .002420 .008159 -.000565 Correlation Surface at 2046 4246 .038 .009 .031 .001 .018 .026 .019 .004 .001 .018 .017 .005 .000 .007 .010 .004 .001 .000 .001 .011 .003 .005 .036 .033 .018 .012 .004 .001 .005 .005 .077 .512 .351 .074 .037 .036 .005 .000 .001 .208 1.000 .585 .073 .020 .061 .013 .009 .031 .173 .550 .232 .009 .001 .048 .019 .051 .090 .092 .116 .010 .015 .002 .035 .006 .068 .118 .087 .039 .000 .026 .000 .035 .001 .034 .087 .099 .035 .002 .002 .008 .040 r_peak,r_snr = .2052193 31.35812 Correlation Surface of oversamples image at 2046 4246 .004 .000 .004 .012 .015 .010 .007 .005 .004 .006 .000 .022 .097 .164 .140 .076 .033 .014 .005 .001 .063 .274 .488 .435 .224 .076 .021 .002 .006 .115 .468 .846 .770 .385 .113 .020 .000 .016 .151 .553 1.000 .930 .458 .121 .014 .001 .027 .151 .477 .851 .809 .395 .093 .006 .009 .038 .119 .307 .533 .516 .248 .047 .000 .029 .051 .084 .157 .257 .252 .114 .012 .003 .061 .071 .066 .078 .110 .108 .042 .000 .013 2046 .188 4246 .000 31.35813 .005560 .009883 .001140 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .093 .027 .002 .230 .425 .389 .186 .003 .061 .081 .013 .031 .432 .527 .290 .106 .003 .029 .099 .024 .050 .555 .724 .341 .121 .015 .003 .124 .057 .028 .514 .915 .468 .180 .056 .006 .150 .081 .006 .408 1.000 .550 .201 .083 .017 .195 .078 .000 .268 .838 .570 .192 .053 .003 .199 .063 .002 .150 .558 .483 .161 .010 .010 .125 .034 .000 .131 .398 .310 .090 .000 .057 .087 .015 .015 .205 .467 .254 .039 .003 .083 r_peak,r_snr = .1556909 6.75075 Correlation Surface of oversamples image at 146 4646 .078 .268 .500 .639 .595 .430 .286 .200 .139 .087 .308 .575 .749 .731 .550 .358 .234 .157 .080 .310 .609 .836 .868 .688 .447 .280 .187 .064 .279 .591 .875 .974 .810 .532 .327 .221 .041 .222 .520 .841 1.000 .863 .572 .353 .245 .018 .149 .406 .724 .919 .819 .552 .345 .245 .004 .085 .283 .562 .761 .704 .489 .313 .225 .000 .038 .173 .391 .567 .549 .396 .262 .187 .002 .012 .090 .248 .393 .399 .297 .201 .139 146 .000 4646 6.344 6.75075 .018022 .271597 -.034951 Correlation Surface at 246 4646 .000 .006 .047 .322 .568 .301 .015 .002 .001 .003 .000 .040 .252 .448 .223 .000 .025 .001 .056 .032 .013 .228 .428 .202 .000 .008 .016 .227 .162 .005 .336 .717 .264 .001 .001 .039 .298 .222 .006 .411 1.000 .398 .004 .012 .009 .148 .113 .019 .345 .859 .481 .023 .029 .008 .045 .029 .040 .274 .521 .342 .027 .053 .067 .061 .027 .050 .206 .277 .110 .000 .092 .159 .163 .084 .029 .099 .120 .017 .023 .067 .154 r_peak,r_snr = .1407475 12.45528 Correlation Surface of oversamples image at 246 4646 .141 .301 .453 .540 .495 .317 .118 .018 .000 .148 .403 .702 .913 .804 .462 .157 .023 .000 .150 .393 .676 .897 .849 .513 .182 .035 .004 .162 .390 .663 .881 .876 .590 .239 .055 .011 .188 .427 .732 .994 1.000 .683 .270 .041 .000 .183 .393 .659 .908 .944 .677 .281 .041 .004 .150 .313 .506 .686 .740 .585 .287 .063 .000 .131 .268 .412 .522 .542 .444 .237 .056 .000 .126 .243 .347 .393 .360 .270 .136 .024 .006 246 .281 4646 1.594 12.45528 .013237 .104488 -.007827 Correlation Surface at 346 4646 .057 .076 .019 .003 .002 .016 .028 .001 .062 .038 .126 .049 .114 .145 .000 .042 .007 .000 .020 .098 .032 .374 .555 .037 .030 .041 .046 .018 .070 .009 .487 .953 .200 .007 .039 .029 .021 .044 .004 .303 1.000 .496 .012 .005 .002 .010 .024 .010 .080 .594 .629 .119 .012 .042 .002 .030 .046 .001 .147 .343 .158 .046 .053 .001 .053 .092 .004 .010 .064 .039 .015 .047 .002 .090 .101 .000 .001 .000 .009 .009 .056 r_peak,r_snr = .1309719 19.47528 Correlation Surface of oversamples image at 346 4646 .018 .064 .382 .627 .526 .240 .042 .000 .006 .008 .090 .487 .827 .710 .331 .062 .000 .010 .003 .096 .519 .946 .871 .440 .101 .002 .010 .002 .081 .465 .948 .982 .574 .175 .014 .003 .001 .055 .357 .830 1.000 .708 .297 .058 .001 .002 .030 .234 .624 .881 .765 .431 .145 .022 .005 .009 .120 .378 .628 .666 .485 .233 .070 .016 .000 .040 .171 .341 .444 .409 .260 .115 .035 .004 .007 .058 .140 .222 .257 .208 .122 346 -.219 4646 .531 19.47528 .028528 .152590 -.047915 Correlation Surface at 446 4646 .215 .132 .079 .100 .213 .531 .645 .198 .019 .219 .100 .101 .256 .459 .692 .729 .239 .070 .146 .044 .119 .495 .766 .660 .449 .126 .096 .109 .049 .219 .758 .986 .573 .216 .028 .040 .131 .085 .308 .829 1.000 .546 .172 .029 .017 .212 .118 .266 .620 .785 .491 .234 .106 .034 .289 .129 .221 .460 .591 .413 .292 .183 .040 .231 .110 .241 .494 .531 .362 .251 .119 .010 .139 .064 .227 .527 .469 .306 .154 .021 .000 r_peak,r_snr = .1545374 6.40801 Correlation Surface of oversamples image at 446 4646 .049 .108 .239 .420 .604 .786 .917 .907 .712 .058 .160 .370 .622 .809 .930 .959 .847 .595 .068 .206 .475 .772 .944 .988 .909 .709 .434 .083 .246 .545 .852 .998 .973 .816 .562 .292 .108 .293 .602 .892 1.000 .918 .711 .439 .193 .141 .348 .666 .927 .982 .848 .611 .351 .144 .170 .396 .723 .952 .945 .774 .532 .302 .136 .185 .416 .736 .928 .875 .697 .480 .291 .162 .184 .404 .693 .843 .773 .614 .442 .304 .212 446 -.844 4646 5.469 6.40801 .037497 .272523 -.006907 Correlation Surface at 546 4646 .312 .395 .592 .878 .964 .523 .220 .168 .139 .233 .341 .529 .792 .952 .560 .254 .166 .144 .148 .248 .496 .756 .942 .674 .338 .178 .143 .097 .193 .498 .846 .980 .772 .441 .222 .147 .086 .199 .512 .937 1.000 .780 .503 .278 .152 .113 .240 .512 .886 .922 .686 .474 .284 .141 .147 .284 .500 .751 .826 .592 .397 .251 .125 .143 .281 .479 .631 .750 .566 .357 .225 .124 .136 .247 .452 .555 .672 .586 .369 .206 .131 r_peak,r_snr = .2776748 4.15812 Correlation Surface of oversamples image at 546 4646 .484 .598 .710 .817 .865 .801 .656 .497 .368 .490 .628 .753 .861 .910 .852 .717 .559 .417 .488 .652 .800 .914 .957 .896 .765 .609 .458 .480 .661 .831 .955 .993 .922 .790 .637 .482 .468 .650 .832 .963 1.000 .921 .787 .638 .486 .454 .622 .803 .939 .976 .892 .754 .612 .470 .440 .586 .757 .897 .938 .850 .704 .568 .441 .429 .551 .707 .850 .898 .811 .656 .519 .408 .420 .517 .655 .795 .855 .777 .617 .478 .377 546 -.094 4646 4.875 4.15812 .055127 .400312 .062585 Correlation Surface at 646 4646 .423 .176 .044 .090 .083 .011 .013 .000 .008 .607 .547 .001 .157 .324 .143 .005 .056 .019 .256 .746 .114 .209 .700 .311 .055 .008 .035 .012 .360 .238 .160 .986 .392 .054 .067 .026 .004 .020 .101 .081 1.000 .455 .054 .282 .320 .002 .017 .005 .032 .605 .447 .204 .440 .288 .033 .055 .016 .075 .307 .303 .440 .447 .066 .077 .046 .075 .281 .395 .229 .408 .317 .024 .018 .000 .093 .476 .587 .215 .278 .189 .053 r_peak,r_snr = 8.42665E-02 8.42412 Correlation Surface of oversamples image at 646 4646 .391 .045 .030 .180 .250 .206 .094 .012 .008 .626 .096 .034 .286 .450 .403 .204 .045 .001 .806 .150 .034 .384 .665 .618 .308 .066 .007 .857 .186 .031 .466 .876 .815 .379 .064 .006 .765 .202 .023 .492 1.000 .920 .393 .049 .002 .597 .200 .011 .437 .954 .876 .360 .041 .002 .445 .189 .002 .317 .751 .706 .312 .055 .012 .347 .177 .000 .177 .477 .481 .258 .094 .059 .254 .134 .001 .093 .262 .290 .209 .151 .154 646 3.188 4646 1.156 8.42412 .020148 .310130 -.023491 Correlation Surface at 746 4646 .080 .115 .280 .271 .097 .010 .108 .126 .066 .155 .138 .290 .339 .255 .076 .182 .221 .129 .101 .165 .374 .493 .535 .258 .220 .245 .205 .008 .215 .517 .742 .852 .444 .269 .246 .244 .000 .269 .537 .855 1.000 .533 .299 .237 .217 .007 .262 .375 .621 .837 .458 .254 .200 .195 .007 .202 .254 .333 .507 .304 .184 .159 .182 .000 .137 .262 .268 .354 .248 .158 .138 .135 .000 .105 .300 .331 .374 .325 .140 .094 .099 r_peak,r_snr = .147191 5.83028 Correlation Surface of oversamples image at 746 4646 .265 .331 .437 .510 .489 .421 .385 .410 .438 .287 .376 .520 .654 .697 .646 .566 .525 .500 .298 .409 .582 .757 .854 .831 .724 .630 .560 .305 .441 .645 .840 .955 .933 .810 .696 .606 .305 .461 .700 .907 1.000 .943 .805 .709 .626 .297 .460 .727 .942 .989 .868 .717 .659 .611 .277 .429 .701 .918 .913 .727 .570 .551 .548 .243 .369 .610 .809 .765 .548 .403 .406 .437 .201 .301 .485 .643 .588 .385 .265 .274 .316 746 .000 4646 -1.313 5.83028 .043758 .176680 -.015285 Correlation Surface at 846 4646 .264 .272 .343 .591 .693 .580 .401 .275 .300 .257 .289 .382 .614 .722 .594 .437 .310 .317 .229 .274 .404 .693 .817 .574 .422 .334 .347 .190 .235 .406 .777 .962 .575 .351 .309 .359 .163 .200 .389 .740 1.000 .631 .326 .277 .332 .160 .190 .371 .620 .883 .701 .399 .295 .311 .161 .195 .360 .522 .744 .705 .524 .379 .332 .136 .183 .315 .458 .671 .641 .529 .432 .359 .108 .150 .240 .390 .613 .575 .428 .387 .366 r_peak,r_snr = .4007579 3.71281 Correlation Surface of oversamples image at 846 4646 .397 .501 .618 .717 .720 .639 .567 .523 .494 .395 .525 .676 .803 .809 .691 .563 .484 .454 .394 .551 .739 .899 .906 .747 .557 .430 .387 .390 .567 .780 .966 .978 .792 .552 .383 .321 .381 .564 .784 .978 1.000 .814 .556 .361 .281 .369 .548 .758 .943 .976 .816 .573 .373 .279 .361 .528 .721 .887 .928 .806 .602 .420 .320 .357 .508 .682 .831 .872 .783 .628 .484 .393 .355 .489 .647 .786 .826 .754 .636 .536 .472 846 -.219 4646 .281 3.71281 .005668 .060108 -.008815 Correlation Surface at 946 4646 .113 .007 .108 .196 .365 .206 .014 .010 .032 .169 .002 .014 .040 .299 .216 .003 .000 .008 .097 .001 .002 .019 .324 .262 .015 .000 .006 .035 .002 .005 .118 .583 .379 .056 .010 .015 .007 .012 .002 .296 1.000 .528 .106 .034 .046 .001 .015 .001 .245 .979 .541 .141 .057 .092 .002 .005 .000 .117 .499 .308 .102 .054 .060 .017 .001 .011 .095 .241 .099 .034 .015 .001 .043 .015 .002 .092 .236 .075 .022 .003 .006 r_peak,r_snr = .1348187 12.91979 Correlation Surface of oversamples image at 946 4646 .004 .018 .063 .170 .314 .376 .301 .158 .052 .001 .026 .121 .295 .465 .490 .363 .189 .067 .001 .030 .193 .471 .672 .634 .431 .215 .076 .007 .025 .240 .631 .884 .792 .511 .247 .086 .016 .013 .226 .680 1.000 .905 .584 .283 .099 .020 .004 .162 .584 .948 .908 .608 .306 .112 .015 .001 .093 .410 .752 .785 .561 .300 .118 .007 .000 .049 .249 .506 .571 .439 .253 .106 .001 .001 .030 .147 .301 .344 .277 .173 .075 946 .156 4646 -.344 12.91979 .013775 .095153 .001383 Correlation Surface at 1046 4646 .019 .032 .011 .018 .042 .019 .045 .021 .002 .010 .009 .014 .027 .072 .028 .010 .000 .041 .017 .003 .024 .127 .222 .103 .002 .004 .062 .044 .016 .061 .373 .606 .327 .039 .003 .007 .045 .039 .155 .665 1.000 .518 .133 .057 .015 .025 .019 .177 .638 .838 .358 .078 .063 .032 .016 .000 .070 .315 .354 .114 .004 .008 .004 .021 .000 .015 .139 .130 .032 .000 .002 .013 .055 .006 .021 .136 .126 .027 .005 .005 .059 r_peak,r_snr = .2092789 17.1655 Correlation Surface of oversamples image at 1046 4646 .004 .021 .059 .126 .168 .110 .023 .000 .012 .014 .063 .161 .290 .349 .246 .084 .008 .001 .033 .129 .319 .530 .600 .431 .182 .041 .004 .064 .216 .501 .790 .852 .604 .274 .084 .023 .100 .300 .648 .970 1.000 .686 .305 .099 .036 .126 .345 .690 .980 .970 .638 .262 .073 .025 .123 .319 .595 .803 .774 .492 .178 .032 .005 .093 .239 .415 .534 .511 .324 .101 .007 .001 .056 .151 .247 .301 .290 .194 .057 .001 .008 1046 -.219 4646 .219 17.16550 .012407 .025249 .003281 Correlation Surface at 1146 4646 .063 .069 .044 .276 .369 .019 .142 .058 .013 .066 .055 .023 .307 .433 .121 .055 .056 .002 .129 .055 .008 .290 .513 .315 .004 .003 .004 .173 .084 .007 .173 .755 .534 .040 .000 .000 .042 .036 .042 .079 1.000 .747 .043 .004 .005 .007 .002 .007 .078 .828 .635 .057 .010 .032 .013 .006 .000 .097 .502 .313 .079 .000 .023 .003 .011 .012 .041 .288 .100 .039 .014 .000 .032 .041 .012 .017 .123 .006 .001 .002 .001 r_peak,r_snr = .109849 13.09422 Correlation Surface of oversamples image at 1146 4646 .001 .139 .426 .691 .812 .660 .282 .021 .016 .005 .073 .346 .674 .843 .684 .310 .039 .003 .031 .016 .235 .630 .888 .725 .322 .043 .002 .063 .000 .145 .589 .955 .803 .345 .041 .005 .067 .005 .096 .550 1.000 .884 .386 .045 .008 .039 .003 .088 .520 .995 .925 .429 .063 .004 .014 .000 .101 .485 .903 .860 .424 .083 .000 .008 .001 .108 .427 .735 .683 .345 .085 .006 .021 .000 .089 .345 .544 .463 .217 .061 .015 1146 .188 4646 .375 13.09423 .016562 .187352 -.013690 Correlation Surface at 1246 4646 .025 .012 .003 .039 .269 .227 .029 .008 .014 .032 .026 .009 .051 .298 .249 .044 .013 .025 .034 .043 .006 .132 .515 .352 .082 .019 .035 .038 .046 .001 .273 .882 .511 .098 .017 .025 .042 .042 .000 .335 1.000 .606 .107 .007 .004 .046 .053 .001 .265 .766 .523 .120 .002 .001 .052 .078 .013 .171 .565 .398 .123 .003 .007 .053 .096 .031 .121 .497 .318 .107 .005 .005 .045 .097 .029 .109 .475 .269 .067 .004 .000 r_peak,r_snr = .3348869 18.85167 Correlation Surface of oversamples image at 1246 4646 .009 .013 .143 .368 .505 .460 .312 .162 .060 .004 .029 .217 .520 .690 .605 .393 .200 .075 .001 .047 .286 .660 .873 .760 .482 .237 .086 .000 .061 .327 .740 .990 .873 .553 .267 .093 .000 .065 .332 .739 1.000 .903 .585 .285 .097 .000 .059 .306 .677 .921 .851 .571 .289 .100 .002 .044 .261 .587 .801 .754 .525 .279 .103 .007 .027 .213 .502 .689 .654 .469 .264 .106 .015 .014 .172 .441 .610 .574 .415 .245 .110 1246 .094 4646 -.188 18.85167 .002677 .019198 -.000147 Correlation Surface at 1346 4646 .116 .194 .305 .487 .650 .586 .397 .333 .337 .104 .156 .274 .509 .708 .631 .460 .338 .356 .090 .136 .259 .500 .752 .678 .522 .371 .364 .069 .117 .236 .496 .853 .723 .525 .438 .393 .055 .097 .212 .502 1.000 .810 .488 .457 .433 .055 .088 .216 .487 .982 .851 .475 .439 .446 .074 .099 .233 .456 .778 .741 .495 .459 .451 .095 .120 .231 .435 .626 .608 .495 .492 .437 .096 .133 .222 .424 .607 .585 .470 .468 .383 r_peak,r_snr = .4160367 4.88651 Correlation Surface of oversamples image at 1346 4646 .335 .495 .686 .806 .789 .695 .602 .537 .503 .320 .501 .726 .874 .855 .734 .614 .542 .520 .310 .512 .771 .951 .935 .789 .640 .550 .531 .308 .518 .793 1.000 .997 .841 .672 .566 .541 .309 .509 .771 .980 1.000 .861 .696 .584 .549 .311 .486 .706 .892 .930 .832 .699 .598 .555 .312 .458 .628 .772 .817 .765 .677 .600 .554 .310 .434 .563 .667 .705 .683 .635 .581 .538 .305 .421 .529 .605 .630 .617 .587 .550 .510 1346 .250 4646 -.250 4.88651 .003469 .041816 -.002484 Correlation Surface at 1446 4646 .047 .019 .002 .038 .108 .089 .041 .031 .016 .020 .001 .018 .076 .162 .111 .063 .037 .015 .015 .002 .025 .131 .340 .187 .083 .046 .016 .012 .002 .021 .217 .739 .358 .091 .049 .027 .003 .001 .012 .230 1.000 .527 .104 .053 .046 .000 .003 .006 .139 .763 .531 .139 .074 .056 .000 .011 .006 .080 .473 .435 .164 .096 .052 .000 .017 .010 .079 .356 .323 .126 .082 .043 .000 .014 .011 .084 .295 .208 .074 .051 .037 r_peak,r_snr = .3207065 19.98667 Correlation Surface of oversamples image at 1446 4646 .022 .051 .126 .258 .360 .318 .191 .098 .059 .022 .059 .170 .382 .548 .479 .274 .126 .065 .021 .066 .219 .524 .772 .677 .379 .165 .077 .018 .068 .248 .627 .950 .848 .480 .208 .094 .013 .061 .240 .635 1.000 .927 .548 .249 .117 .008 .047 .198 .549 .907 .891 .568 .283 .145 .005 .033 .146 .424 .740 .782 .549 .308 .177 .003 .024 .108 .319 .580 .659 .511 .324 .208 .003 .020 .090 .257 .468 .554 .464 .324 .227 1446 .156 4646 -.031 19.98668 .002253 .011901 -.001017 Correlation Surface at 1546 4646 .000 .016 .077 .248 .407 .341 .150 .048 .005 .000 .021 .089 .289 .504 .390 .150 .049 .008 .000 .026 .115 .366 .671 .486 .173 .062 .017 .000 .019 .109 .438 .905 .607 .194 .074 .022 .000 .015 .082 .430 1.000 .645 .181 .066 .015 .000 .018 .079 .375 .845 .549 .148 .046 .006 .000 .022 .099 .351 .636 .410 .126 .038 .004 .000 .025 .123 .368 .530 .318 .112 .041 .005 .001 .032 .135 .366 .492 .287 .114 .054 .011 r_peak,r_snr = .4386305 11.38604 Correlation Surface of oversamples image at 1546 4646 .175 .318 .502 .672 .728 .640 .480 .324 .204 .181 .343 .561 .761 .822 .710 .520 .349 .224 .162 .335 .591 .837 .915 .778 .551 .360 .234 .130 .299 .580 .877 .983 .830 .568 .358 .230 .101 .254 .536 .862 1.000 .851 .571 .347 .218 .086 .219 .479 .799 .954 .829 .559 .334 .205 .084 .202 .429 .710 .859 .764 .530 .321 .194 .095 .205 .398 .627 .748 .676 .488 .307 .188 .116 .223 .389 .568 .653 .589 .439 .290 .184 1546 -.031 4646 -.125 11.38605 .001837 .016747 -.000104 Correlation Surface at 1646 4646 .576 .622 .794 .848 .824 .728 .631 .521 .397 .541 .607 .808 .924 .841 .729 .586 .503 .432 .567 .658 .808 .928 .839 .785 .664 .551 .422 .591 .680 .782 .938 .921 .892 .768 .613 .399 .582 .626 .730 .929 1.000 .962 .804 .649 .401 .564 .579 .678 .837 .946 .950 .788 .647 .431 .543 .579 .661 .749 .850 .951 .778 .624 .463 .526 .591 .669 .722 .789 .964 .798 .596 .474 .539 .600 .664 .691 .699 .868 .794 .594 .465 r_peak,r_snr = .4651306 2.18493 Correlation Surface of oversamples image at 1646 4646 .724 .742 .770 .814 .836 .805 .729 .654 .610 .768 .790 .815 .856 .879 .847 .762 .678 .633 .796 .830 .858 .901 .933 .906 .808 .703 .640 .799 .844 .882 .933 .980 .964 .854 .723 .630 .780 .830 .879 .938 1.000 .997 .884 .732 .609 .749 .799 .855 .917 .982 .990 .887 .731 .590 .715 .764 .824 .880 .934 .945 .862 .723 .583 .693 .743 .803 .849 .880 .885 .824 .717 .595 .689 .743 .801 .833 .839 .831 .786 .714 .623 1646 .250 4646 .094 2.18493 .085732 .061160 -.041726 Correlation Surface at 1746 4646 .002 .053 .000 .000 .021 .000 .116 .104 .034 .042 .001 .007 .002 .000 .000 .164 .078 .001 .130 .013 .000 .086 .106 .017 .192 .069 .000 .145 .013 .029 .328 .616 .072 .061 .019 .005 .110 .019 .003 .191 1.000 .164 .000 .001 .003 .125 .076 .064 .001 .414 .162 .013 .018 .008 .188 .220 .172 .079 .040 .047 .003 .033 .049 .136 .339 .141 .012 .023 .007 .000 .031 .047 .003 .140 .060 .015 .064 .002 .000 .012 .004 r_peak,r_snr = .1089296 14.58388 Correlation Surface of oversamples image at 1746 4646 .002 .000 .032 .105 .098 .062 .068 .123 .183 .001 .010 .097 .255 .259 .164 .118 .125 .137 .005 .027 .174 .464 .535 .347 .181 .103 .065 .002 .024 .193 .620 .845 .589 .253 .073 .012 .002 .004 .128 .593 1.000 .790 .323 .053 .000 .027 .006 .039 .393 .879 .829 .366 .048 .008 .075 .048 .000 .160 .555 .668 .350 .054 .007 .114 .093 .018 .031 .253 .423 .285 .065 .000 .126 .102 .038 .001 .093 .226 .202 .075 .006 1746 .094 4646 .094 14.58389 .011133 .035865 -.007834 Correlation Surface at 1846 4646 .012 .005 .031 .221 .375 .348 .228 .132 .045 .012 .009 .010 .199 .407 .347 .218 .157 .050 .017 .002 .015 .227 .573 .395 .187 .145 .062 .022 .001 .041 .291 .902 .561 .192 .128 .076 .020 .002 .060 .302 1.000 .673 .208 .124 .083 .014 .001 .054 .254 .739 .561 .184 .114 .078 .009 .002 .054 .231 .505 .397 .137 .089 .064 .005 .015 .097 .271 .445 .346 .128 .083 .070 .004 .033 .174 .339 .417 .312 .150 .107 .101 r_peak,r_snr = .314626 9.53871 Correlation Surface of oversamples image at 1846 4646 .143 .237 .398 .543 .528 .388 .276 .240 .235 .149 .245 .450 .655 .639 .443 .283 .228 .223 .163 .266 .517 .797 .795 .538 .314 .228 .218 .177 .286 .569 .909 .936 .636 .352 .232 .213 .185 .294 .584 .946 1.000 .693 .375 .227 .199 .186 .289 .559 .901 .966 .681 .363 .204 .169 .187 .278 .512 .806 .862 .611 .319 .166 .129 .195 .273 .466 .708 .747 .525 .266 .126 .092 .215 .283 .442 .639 .665 .465 .229 .101 .067 1846 .313 4646 .031 9.53871 .003150 .021526 -.000367 Correlation Surface at 1946 4646 .019 .001 .010 .040 .218 .156 .158 .235 .400 .021 .007 .031 .031 .134 .137 .149 .191 .316 .005 .029 .053 .069 .226 .145 .162 .213 .281 .000 .052 .077 .173 .713 .335 .174 .278 .355 .001 .044 .089 .184 1.000 .593 .175 .246 .356 .012 .019 .067 .055 .431 .403 .144 .171 .237 .033 .004 .044 .005 .064 .112 .089 .161 .183 .027 .004 .056 .005 .013 .040 .058 .189 .231 .013 .006 .065 .010 .008 .032 .046 .166 .233 r_peak,r_snr = .1851058 9.28698 Correlation Surface of oversamples image at 1946 4646 .056 .033 .034 .060 .084 .085 .088 .127 .205 .076 .069 .107 .202 .269 .224 .157 .151 .211 .085 .100 .200 .429 .601 .494 .286 .191 .210 .081 .106 .248 .606 .930 .808 .450 .240 .203 .066 .079 .200 .574 1.000 .958 .556 .271 .186 .048 .040 .097 .353 .744 .812 .516 .254 .156 .033 .012 .020 .123 .365 .485 .351 .187 .115 .028 .002 .000 .012 .101 .197 .176 .107 .073 .033 .001 .007 .003 .009 .054 .071 .052 .042 1946 .188 4646 -.094 9.28698 .006519 .014081 -.001491 Correlation Surface at 2046 4646 .020 .013 .000 .013 .073 .050 .010 .006 .025 .033 .040 .007 .014 .103 .074 .008 .002 .025 .029 .028 .007 .036 .221 .102 .000 .005 .017 .016 .006 .000 .137 .633 .212 .001 .016 .013 .010 .001 .006 .222 1.000 .343 .002 .040 .020 .015 .006 .003 .145 .657 .262 .004 .071 .046 .021 .022 .000 .057 .237 .088 .009 .088 .070 .015 .025 .005 .029 .111 .019 .018 .082 .066 .004 .009 .005 .026 .095 .004 .033 .068 .045 r_peak,r_snr = .2854337 38.98387 Correlation Surface of oversamples image at 2046 4646 .005 .001 .038 .136 .223 .192 .081 .013 .000 .002 .006 .081 .258 .399 .326 .131 .018 .001 .000 .023 .159 .448 .659 .525 .210 .030 .001 .005 .050 .243 .632 .909 .724 .297 .046 .001 .014 .069 .277 .690 1.000 .818 .349 .059 .000 .017 .067 .237 .582 .870 .745 .332 .059 .000 .013 .046 .154 .384 .602 .545 .251 .043 .001 .004 .019 .072 .196 .335 .324 .152 .021 .003 .000 .004 .023 .082 .161 .168 .077 .007 .007 2046 .094 4646 -.031 38.98388 .002158 .008040 -.000110 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .014 .002 .041 .180 .363 .371 .197 .036 .013 .002 .000 .040 .174 .376 .435 .254 .058 .005 .004 .008 .061 .225 .472 .447 .224 .035 .005 .010 .023 .094 .361 .738 .500 .178 .018 .010 .007 .018 .114 .494 1.000 .611 .144 .008 .013 .005 .017 .120 .467 .857 .613 .121 .003 .014 .003 .014 .134 .389 .550 .440 .087 .001 .011 .002 .010 .137 .368 .390 .267 .053 .002 .003 .006 .014 .125 .343 .344 .154 .022 .008 .008 r_peak,r_snr = .2186193 13.75018 Correlation Surface of oversamples image at 146 5046 .065 .127 .222 .357 .489 .526 .431 .282 .154 .081 .170 .306 .483 .629 .638 .486 .286 .139 .096 .218 .404 .632 .803 .787 .576 .320 .144 .108 .259 .486 .755 .948 .921 .671 .368 .159 .122 .286 .524 .801 1.000 .977 .723 .400 .168 .138 .300 .512 .752 .933 .923 .697 .388 .157 .154 .301 .467 .642 .786 .786 .600 .328 .124 .168 .301 .421 .533 .629 .625 .472 .245 .083 .173 .302 .392 .456 .507 .482 .346 .163 .045 146 .219 5046 .469 13.75019 .009258 .041819 .000173 Correlation Surface at 246 5046 .216 .250 .355 .568 .630 .398 .181 .113 .086 .116 .245 .370 .453 .337 .200 .141 .098 .094 .026 .238 .556 .639 .309 .132 .133 .111 .105 .009 .199 .682 .973 .612 .199 .126 .124 .154 .026 .136 .508 .976 1.000 .357 .125 .104 .190 .036 .075 .262 .612 .863 .456 .148 .095 .200 .010 .030 .140 .324 .435 .380 .189 .153 .229 .002 .027 .152 .255 .208 .190 .191 .250 .239 .020 .089 .297 .381 .201 .073 .115 .239 .194 r_peak,r_snr = .1640867 6.22338 Correlation Surface of oversamples image at 246 5046 .105 .229 .378 .468 .442 .322 .189 .106 .072 .114 .280 .485 .624 .595 .417 .223 .111 .072 .127 .343 .606 .801 .802 .595 .334 .161 .093 .131 .378 .674 .906 .963 .789 .497 .254 .132 .125 .364 .649 .884 1.000 .922 .664 .374 .189 .113 .312 .551 .761 .915 .948 .786 .497 .259 .091 .237 .420 .592 .754 .872 .827 .590 .333 .057 .158 .290 .422 .571 .723 .768 .621 .389 .030 .100 .196 .296 .423 .566 .646 .585 .415 246 .000 5046 -7.656 6.22338 .032449 .059268 -.023119 Correlation Surface at 346 5046 .004 .013 .042 .050 .276 .124 .012 .011 .074 .023 .004 .069 .022 .352 .154 .048 .020 .000 .034 .002 .065 .024 .458 .335 .184 .156 .078 .008 .007 .048 .089 .715 .480 .218 .242 .164 .001 .006 .032 .200 1.000 .536 .120 .154 .118 .035 .001 .001 .285 .941 .500 .082 .079 .050 .092 .000 .011 .298 .681 .385 .098 .090 .063 .091 .000 .004 .167 .449 .257 .112 .120 .160 .053 .003 .001 .024 .276 .145 .083 .105 .190 r_peak,r_snr = .1223183 11.03148 Correlation Surface of oversamples image at 346 5046 .046 .004 .058 .290 .468 .467 .343 .211 .132 .031 .000 .111 .418 .622 .576 .380 .203 .112 .018 .004 .171 .556 .793 .695 .405 .175 .075 .006 .013 .221 .660 .937 .809 .437 .155 .047 .000 .029 .251 .696 1.000 .884 .475 .154 .035 .006 .049 .257 .651 .942 .867 .487 .159 .031 .019 .067 .241 .551 .785 .744 .444 .154 .028 .032 .079 .215 .436 .586 .555 .352 .131 .024 .033 .073 .178 .329 .405 .368 .246 .104 .022 346 -.875 5046 7.563 11.03148 .014980 .212861 .017282 Correlation Surface at 446 5046 .033 .124 .043 .142 .597 .421 .096 .059 .049 .030 .079 .046 .116 .663 .605 .175 .061 .037 .004 .068 .125 .170 .671 .773 .296 .033 .018 .002 .176 .444 .456 .769 .767 .381 .043 .000 .015 .283 .581 .775 1.000 .708 .386 .081 .008 .028 .146 .210 .526 .885 .598 .362 .140 .001 .011 .016 .025 .239 .591 .408 .274 .136 .055 .003 .001 .047 .375 .616 .277 .101 .050 .048 .013 .024 .217 .765 .761 .197 .015 .008 .010 r_peak,r_snr = .1135791 7.49274 Correlation Surface of oversamples image at 446 5046 .135 .183 .205 .299 .531 .764 .739 .472 .240 .309 .421 .439 .489 .646 .797 .747 .501 .264 .492 .695 .742 .744 .807 .848 .750 .530 .297 .540 .827 .946 .948 .948 .907 .771 .575 .348 .413 .724 .929 .996 1.000 .939 .801 .631 .418 .203 .464 .721 .878 .932 .893 .784 .653 .473 .052 .221 .476 .697 .803 .784 .698 .606 .477 .003 .095 .320 .562 .683 .648 .552 .477 .405 .000 .063 .278 .510 .593 .505 .371 .292 .265 446 -.250 5046 8.438 7.49274 .120475 .263399 .056873 Correlation Surface at 546 5046 .059 .083 .170 .599 .370 .020 .013 .026 .034 .025 .024 .158 .580 .263 .048 .008 .004 .030 .034 .009 .143 .750 .309 .049 .016 .000 .011 .104 .019 .108 .934 .671 .115 .001 .006 .003 .201 .083 .136 .942 1.000 .216 .005 .037 .000 .262 .212 .251 .778 .783 .175 .017 .033 .001 .188 .182 .305 .642 .451 .070 .025 .011 .001 .030 .020 .165 .639 .371 .032 .030 .038 .027 .001 .006 .049 .686 .478 .027 .034 .128 .126 r_peak,r_snr = .1264804 8.89015 Correlation Surface of oversamples image at 546 5046 .093 .224 .454 .591 .485 .283 .155 .098 .064 .072 .198 .481 .703 .598 .328 .151 .076 .043 .049 .148 .456 .801 .765 .436 .183 .069 .024 .035 .101 .395 .834 .919 .581 .250 .080 .016 .039 .083 .341 .804 1.000 .716 .338 .108 .015 .072 .102 .323 .743 .990 .787 .410 .138 .018 .140 .157 .340 .677 .905 .768 .431 .154 .021 .228 .241 .391 .636 .794 .679 .393 .146 .022 .300 .336 .471 .638 .705 .572 .323 .118 .018 546 .469 5046 2.719 8.89015 .025040 .079555 -.008324 Correlation Surface at 646 5046 .328 .477 .666 .825 .881 .734 .562 .374 .254 .330 .490 .712 .861 .905 .798 .610 .414 .272 .360 .501 .714 .903 .929 .838 .641 .422 .261 .401 .527 .700 .940 .972 .834 .632 .382 .215 .415 .543 .680 .934 1.000 .803 .608 .355 .195 .386 .525 .658 .896 .977 .788 .614 .372 .222 r_peak,r_snr = .5770444 3.55261 Correlation Surface of oversamples image at 646 5046 .608 .745 .846 .908 .946 .951 .907 .826 .733 .599 .747 .863 .927 .956 .958 .927 .858 .764 .587 .738 .871 .947 .971 .964 .934 .874 .784 .576 .718 .864 .961 .989 .969 .930 .872 .786 .564 .690 .840 .960 1.000 .972 .918 .856 .774 .552 .657 .802 .937 .996 .968 .901 .831 .752 .542 .627 .759 .899 .972 .949 .874 .799 .726 .538 .607 .723 .854 .930 .914 .839 .764 .699 .535 .597 .697 .812 .881 .868 .799 .728 .672 646 -.469 5046 12.219 3.55261 .006063 .116916 .000466 Correlation Surface at 746 5046 .023 .097 .072 .181 .210 .051 .039 .221 .289 .022 .025 .027 .136 .106 .010 .025 .116 .255 .029 .025 .032 .207 .293 .171 .251 .165 .192 .022 .058 .112 .353 .756 .587 .621 .279 .143 .001 .020 .228 .511 1.000 .763 .622 .364 .127 .017 .000 .311 .656 .764 .554 .470 .475 .220 .044 .002 .284 .738 .474 .247 .294 .554 .392 .019 .004 .061 .488 .385 .132 .150 .385 .367 .007 .014 .021 .112 .405 .236 .147 .182 .183 r_peak,r_snr = .1069925 7.31808 Correlation Surface of oversamples image at 746 5046 .041 .099 .146 .120 .068 .054 .058 .049 .047 .067 .155 .257 .280 .235 .232 .257 .219 .144 .099 .220 .407 .535 .534 .539 .582 .507 .316 .133 .273 .528 .775 .838 .836 .870 .781 .511 .172 .315 .583 .889 1.000 .979 .982 .914 .655 .232 .367 .591 .863 .975 .945 .926 .897 .718 .330 .448 .580 .746 .821 .796 .780 .791 .706 .464 .559 .570 .599 .617 .598 .599 .643 .640 .605 .677 .576 .480 .434 .405 .413 .481 .541 746 .531 5046 .688 7.31808 .066775 .157628 .034820 Correlation Surface at 846 5046 .378 .389 .442 .681 .864 .760 .460 .381 .402 .311 .325 .385 .682 .848 .725 .523 .379 .354 .267 .284 .345 .655 .854 .662 .505 .397 .391 .276 .313 .420 .726 .923 .662 .463 .411 .452 .285 .351 .543 .855 1.000 .684 .457 .413 .483 .274 .350 .589 .873 .966 .671 .476 .414 .487 .283 .339 .559 .756 .826 .649 .525 .468 .538 .285 .334 .533 .666 .714 .645 .614 .587 .636 .241 .322 .550 .676 .664 .609 .641 .647 .690 r_peak,r_snr = .3403743 2.91823 Correlation Surface of oversamples image at 846 5046 .289 .378 .538 .724 .843 .830 .718 .610 .543 .326 .425 .589 .775 .893 .873 .746 .616 .532 .368 .482 .651 .835 .950 .923 .781 .628 .528 .401 .532 .704 .883 .992 .961 .810 .642 .531 .415 .558 .732 .899 1.000 .969 .819 .651 .540 .411 .557 .726 .879 .967 .936 .802 .652 .555 .399 .538 .693 .828 .903 .875 .765 .648 .576 .384 .506 .642 .759 .826 .804 .721 .644 .603 .367 .470 .587 .689 .750 .738 .681 .640 .627 846 -.344 5046 1.344 2.91823 .012650 .167843 .015539 Correlation Surface at 946 5046 .072 .012 .072 .299 .505 .552 .308 .044 .050 .062 .013 .085 .357 .487 .382 .186 .053 .024 .074 .056 .167 .462 .568 .336 .117 .105 .047 .034 .055 .176 .612 .881 .362 .089 .153 .154 .020 .018 .057 .457 1.000 .368 .085 .161 .239 .113 .025 .006 .157 .554 .340 .118 .163 .212 .258 .075 .018 .116 .312 .435 .244 .184 .169 .239 .160 .091 .252 .470 .722 .459 .246 .185 .242 .396 .298 .425 .866 .989 .548 .277 .225 r_peak,r_snr = .1364877 5.85576 Correlation Surface of oversamples image at 946 5046 .044 .145 .264 .361 .405 .351 .229 .145 .133 .066 .194 .353 .483 .519 .414 .240 .127 .117 .087 .255 .488 .678 .695 .506 .260 .118 .103 .089 .290 .615 .893 .893 .602 .279 .112 .093 .062 .254 .622 .989 1.000 .648 .282 .109 .093 .024 .151 .459 .833 .898 .595 .261 .105 .101 .005 .060 .234 .504 .614 .458 .226 .105 .116 .002 .018 .081 .210 .318 .306 .195 .114 .138 .004 .009 .024 .068 .143 .204 .188 .144 .172 946 -.250 5046 -.500 5.85576 .015563 .063415 -.010965 Correlation Surface at 1046 5046 .170 .186 .039 .107 .558 .369 .092 .010 .010 .140 .206 .051 .165 .790 .465 .137 .029 .027 .067 .136 .013 .265 .913 .455 .123 .035 .031 .027 .078 .001 .397 .980 .426 .066 .014 .028 .015 .048 .011 .495 1.000 .398 .028 .003 .035 .011 .039 .006 .440 .887 .321 .020 .007 .052 .010 .048 .000 .275 .643 .237 .025 .020 .061 .004 .038 .001 .165 .412 .197 .036 .020 .045 .001 .018 .000 .149 .327 .195 .052 .014 .015 r_peak,r_snr = .2111715 14.50913 Correlation Surface of oversamples image at 1046 5046 .028 .156 .422 .729 .863 .715 .443 .230 .124 .057 .226 .520 .815 .907 .722 .425 .198 .089 .063 .261 .593 .898 .960 .734 .416 .183 .071 .044 .239 .603 .944 .999 .742 .409 .177 .066 .019 .176 .540 .921 1.000 .733 .395 .172 .068 .004 .110 .430 .825 .944 .697 .368 .161 .068 .000 .064 .321 .683 .832 .632 .334 .146 .066 .000 .041 .239 .538 .687 .547 .297 .133 .064 .000 .036 .193 .425 .551 .462 .266 .126 .065 1046 -.156 5046 3.781 14.50914 .007555 .405979 .019910 Correlation Surface at 1146 5046 .183 .309 .068 .003 .040 .001 .058 .213 .074 .071 .238 .041 .012 .035 .031 .189 .378 .105 .003 .119 .022 .038 .103 .025 .290 .364 .033 .003 .044 .001 .129 .524 .040 .153 .211 .002 .039 .025 .008 .200 1.000 .271 .039 .126 .015 .031 .020 .005 .095 .642 .199 .031 .112 .064 .002 .004 .003 .036 .197 .037 .059 .117 .063 .001 .001 .032 .056 .064 .006 .067 .107 .069 .018 .004 .086 .057 .011 .003 .053 .103 .103 r_peak,r_snr = .1257268 18.12577 Correlation Surface of oversamples image at 1146 5046 .002 .005 .038 .106 .130 .048 .002 .078 .184 .005 .033 .099 .230 .305 .171 .011 .044 .176 .031 .090 .203 .426 .589 .409 .090 .006 .125 .068 .167 .327 .628 .875 .676 .224 .004 .070 .095 .222 .402 .725 1.000 .812 .318 .023 .037 .095 .221 .383 .663 .899 .738 .303 .029 .027 .079 .179 .297 .497 .658 .525 .206 .014 .034 .065 .139 .215 .337 .420 .310 .104 .001 .053 .065 .125 .174 .237 .263 .172 .045 .001 .071 1146 .094 5046 .031 18.12577 .009127 .034107 -.003314 Correlation Surface at 1246 5046 .001 .017 .153 .212 .001 .120 .313 .541 .603 .076 .086 .224 .301 .012 .026 .139 .611 .766 .159 .161 .213 .160 .000 .011 .056 .647 .915 .165 .099 .045 .000 .332 .139 .038 .547 .953 .148 .063 .003 .057 1.000 .401 .015 .205 .597 .076 .108 .056 .006 .594 .285 .001 .010 .159 .012 .160 .235 .017 .090 .056 .000 .000 .065 .003 .185 .327 .029 .005 .002 .001 .011 .117 .002 .215 .384 .058 .001 .036 .003 .067 .183 r_peak,r_snr = .1116771 12.02774 Correlation Surface of oversamples image at 1246 5046 .004 .000 .034 .138 .271 .003 .001 .072 .268 .446 .001 .012 .150 .467 .713 .019 .044 .234 .639 .962 .056 .070 .249 .633 1.000 .086 .067 .173 .420 .735 .095 .045 .076 .163 .339 .086 .026 .020 .023 .070 .070 .017 .003 .001 .000 1246 3.719 5046 -1.125 12.02775 .009520 .024061 -.000652 Correlation Surface at 1346 5046 .066 .052 .100 .321 .566 .356 .234 .280 .129 .085 .091 .127 .369 .593 .389 .240 .258 .144 .063 .092 .114 .337 .570 .381 .205 .241 .217 .046 .082 .079 .293 .716 .471 .200 .238 .287 .038 .083 .090 .327 1.000 .659 .238 .245 .297 .031 .064 .120 .380 .918 .621 .245 .228 .269 .022 .023 .102 .355 .561 .387 .212 .223 .253 .020 .009 .072 .322 .389 .256 .180 .231 .252 .018 .011 .070 .294 .378 .249 .151 .175 .203 r_peak,r_snr = .2507191 9.05817 Correlation Surface of oversamples image at 1346 5046 .127 .218 .385 .564 .624 .521 .365 .262 .220 .124 .209 .391 .625 .736 .625 .421 .282 .225 .133 .214 .411 .703 .878 .768 .508 .318 .240 .155 .237 .442 .764 .985 .886 .591 .355 .254 .185 .276 .477 .784 1.000 .913 .621 .371 .257 .207 .314 .499 .749 .909 .826 .575 .351 .245 .208 .335 .500 .676 .764 .679 .485 .310 .226 .187 .331 .481 .595 .624 .540 .396 .269 .210 .152 .300 .441 .520 .519 .442 .331 .239 .199 1346 .125 5046 .313 9.05817 .005243 .036117 -.000494 Correlation Surface at 1446 5046 .042 .059 .162 .321 .332 .192 .109 .072 .064 .077 .115 .273 .442 .440 .220 .105 .083 .093 .081 .155 .348 .493 .560 .290 .112 .105 .133 .046 .122 .297 .510 .757 .445 .145 .117 .150 .024 .065 .173 .477 1.000 .703 .240 .157 .151 .025 .039 .081 .333 .998 .826 .295 .180 .138 .043 .048 .059 .191 .698 .627 .212 .134 .110 .066 .073 .084 .168 .456 .415 .156 .109 .092 .088 .094 .122 .210 .351 .349 .203 .149 .112 r_peak,r_snr = .3051768 9.56353 Correlation Surface of oversamples image at 1446 5046 .378 .486 .627 .719 .653 .462 .277 .170 .125 .362 .492 .664 .792 .748 .544 .324 .186 .128 .328 .485 .697 .869 .856 .647 .393 .219 .141 .275 .453 .707 .926 .952 .747 .466 .261 .163 .210 .393 .677 .938 1.000 .808 .516 .295 .186 .149 .313 .598 .881 .970 .797 .517 .303 .196 .104 .236 .489 .763 .863 .715 .465 .278 .187 .084 .184 .387 .623 .719 .598 .390 .240 .168 .084 .162 .314 .494 .577 .490 .328 .211 .156 1446 .375 5046 -.469 9.56353 .008724 .062489 -.015001 Correlation Surface at 1546 5046 .022 .053 .096 .192 .334 .260 .149 .172 .124 .042 .065 .092 .217 .310 .201 .136 .192 .162 .048 .051 .083 .263 .387 .221 .116 .203 .196 .047 .035 .070 .301 .655 .412 .124 .166 .192 .046 .032 .051 .304 1.000 .729 .190 .130 .148 .034 .031 .037 .234 .934 .773 .274 .143 .113 .017 .026 .033 .143 .483 .430 .242 .156 .086 .009 .017 .031 .097 .193 .152 .132 .132 .066 .005 .013 .018 .079 .146 .096 .084 .110 .055 r_peak,r_snr = .2459311 14.10097 Correlation Surface of oversamples image at 1546 5046 .156 .279 .422 .500 .435 .283 .174 .144 .168 .156 .300 .483 .612 .565 .381 .221 .154 .150 .155 .321 .558 .755 .743 .527 .303 .184 .146 .151 .332 .617 .883 .915 .683 .404 .234 .163 .144 .324 .627 .932 1.000 .780 .488 .293 .200 .134 .294 .568 .857 .936 .755 .506 .334 .241 .126 .253 .462 .681 .745 .615 .443 .331 .263 .120 .210 .344 .476 .509 .426 .330 .281 .253 .113 .167 .239 .304 .313 .259 .211 .205 .210 1546 .344 5046 -.469 14.10098 .006568 .032247 -.005246 Correlation Surface at 1646 5046 .105 .124 .203 .405 .623 .497 .334 .232 .206 .113 .143 .249 .456 .622 .515 .356 .248 .214 .111 .140 .279 .575 .741 .528 .331 .235 .192 .096 .121 .281 .659 .946 .593 .296 .212 .173 .098 .118 .273 .632 1.000 .661 .311 .221 .189 .123 .125 .252 .541 .829 .648 .377 .265 .211 .136 .129 .221 .456 .615 .560 .437 .307 .217 .124 .125 .200 .389 .489 .484 .439 .303 .205 .120 .131 .202 .342 .420 .457 .416 .275 .193 r_peak,r_snr = .4474894 5.57979 Correlation Surface of oversamples image at 1646 5046 .191 .319 .471 .602 .647 .583 .464 .355 .274 .200 .346 .528 .681 .722 .626 .469 .341 .259 .202 .361 .573 .768 .827 .703 .497 .337 .246 .204 .366 .598 .836 .933 .799 .548 .350 .243 .207 .365 .598 .861 1.000 .882 .609 .381 .253 .212 .361 .577 .835 .998 .917 .660 .422 .279 .213 .354 .544 .769 .926 .887 .680 .463 .317 .208 .340 .503 .681 .811 .804 .664 .493 .360 .192 .317 .458 .591 .686 .699 .622 .506 .398 1646 .063 5046 -.219 5.57979 .002885 .019480 -.001675 Correlation Surface at 1746 5046 .545 .678 .659 .646 .821 .824 .649 .494 .384 .566 .709 .666 .673 .858 .864 .655 .488 .386 .562 .695 .674 .729 .918 .899 .642 .474 .382 .552 .653 .681 .775 .995 .957 .659 .478 .400 .542 .611 .692 .793 1.000 .935 .657 .485 .402 .545 .592 .723 .826 .951 .857 .615 .495 .396 .569 .601 .710 .829 .910 .832 .614 .502 .388 .575 .614 .645 .759 .861 .848 .665 .492 .361 .546 .616 .606 .698 .832 .833 .681 .480 .331 r_peak,r_snr = .4663732 2.323 Correlation Surface of oversamples image at 1746 5046 .778 .776 .785 .807 .814 .769 .689 .606 .515 .769 .783 .816 .860 .872 .810 .700 .595 .503 .768 .793 .847 .914 .934 .858 .720 .590 .491 .780 .811 .875 .954 .980 .895 .736 .585 .478 .804 .839 .900 .977 1.000 .908 .740 .579 .466 .834 .870 .923 .982 .994 .900 .733 .573 .461 .852 .890 .932 .969 .965 .877 .724 .572 .462 .847 .884 .916 .935 .923 .850 .717 .575 .470 .819 .855 .878 .886 .876 .823 .716 .585 .481 1746 .375 5046 .156 2.32300 .019441 .294529 .047977 Correlation Surface at 1846 5046 .042 .080 .170 .314 .371 .253 .091 .018 .003 .029 .064 .152 .320 .395 .262 .099 .024 .005 .018 .052 .122 .314 .470 .295 .116 .030 .004 .015 .044 .115 .380 .743 .440 .132 .029 .001 .018 .035 .117 .451 1.000 .607 .137 .018 .000 .024 .028 .105 .390 .796 .529 .114 .008 .000 .033 .035 .092 .276 .442 .316 .081 .005 .000 .043 .053 .105 .240 .313 .219 .071 .009 .003 .048 .066 .122 .253 .321 .222 .084 .020 .012 r_peak,r_snr = .4826106 15.90208 Correlation Surface of oversamples image at 1846 5046 .125 .217 .347 .456 .468 .385 .274 .186 .118 .114 .213 .376 .541 .588 .484 .327 .205 .124 .109 .219 .418 .650 .750 .630 .409 .234 .129 .106 .228 .458 .751 .913 .788 .503 .267 .130 .104 .234 .478 .798 1.000 .892 .575 .292 .128 .102 .233 .464 .762 .963 .885 .588 .299 .123 .098 .220 .418 .657 .820 .771 .535 .282 .114 .092 .199 .358 .528 .638 .609 .443 .248 .104 .089 .181 .304 .420 .485 .462 .352 .210 .094 1846 .094 5046 .125 15.90209 .001421 .004464 -.000140 Correlation Surface at 1946 5046 .041 .098 .202 .455 .504 .331 .150 .053 .033 .041 .097 .158 .377 .495 .315 .127 .032 .025 .027 .083 .142 .356 .567 .370 .134 .031 .023 .023 .067 .135 .390 .815 .558 .190 .055 .033 .025 .064 .124 .390 1.000 .706 .243 .075 .041 .026 .057 .120 .347 .852 .618 .224 .057 .029 .030 .049 .122 .331 .633 .462 .186 .045 .022 .034 .051 .138 .361 .592 .425 .175 .057 .034 .036 .053 .143 .380 .647 .499 .193 .071 .052 r_peak,r_snr = .3685201 8.48828 Correlation Surface of oversamples image at 1946 5046 .198 .341 .526 .626 .568 .404 .234 .113 .045 .185 .334 .555 .711 .671 .479 .274 .132 .054 .179 .339 .604 .827 .813 .589 .340 .168 .073 .177 .347 .650 .930 .943 .695 .409 .209 .097 .173 .344 .660 .967 1.000 .750 .450 .238 .116 .170 .331 .629 .923 .963 .734 .449 .243 .122 .167 .310 .569 .815 .847 .653 .408 .225 .116 .167 .295 .507 .695 .709 .548 .349 .198 .105 .174 .294 .472 .611 .604 .464 .299 .174 .097 1946 .313 5046 .031 8.48828 .002845 .016756 -.000719 Correlation Surface at 2046 5046 .000 .004 .002 .002 .014 .041 .017 .005 .023 .001 .001 .018 .030 .001 .016 .008 .000 .004 .003 .009 .043 .008 .062 .071 .020 .004 .001 .001 .038 .054 .036 .521 .296 .064 .014 .001 .000 .027 .033 .140 1.000 .504 .088 .034 .000 .001 .006 .005 .129 .659 .383 .072 .036 .001 .004 .002 .001 .057 .219 .155 .043 .017 .001 .011 .001 .002 .013 .079 .057 .018 .006 .001 .012 .000 .001 .002 .050 .047 .015 .007 .002 r_peak,r_snr = .2521966 45.88313 Correlation Surface of oversamples image at 2046 5046 .011 .001 .009 .051 .086 .084 .059 .036 .024 .006 .005 .080 .214 .277 .225 .138 .071 .035 .001 .039 .237 .508 .582 .426 .238 .114 .048 .000 .094 .421 .812 .877 .606 .317 .147 .062 .003 .145 .533 .955 1.000 .672 .343 .161 .073 .011 .173 .529 .877 .899 .605 .313 .156 .079 .019 .171 .441 .668 .665 .455 .249 .135 .075 .023 .147 .329 .452 .430 .298 .174 .104 .059 .020 .111 .235 .302 .272 .185 .111 .068 .036 2046 .281 5046 .031 45.88313 .002868 .008057 .000277 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .001 .003 .019 .234 .419 .262 .123 .120 .036 .011 .014 .000 .201 .507 .418 .134 .061 .012 .037 .008 .000 .237 .564 .543 .199 .041 .005 .032 .002 .014 .377 .776 .695 .304 .038 .003 .019 .000 .037 .451 1.000 .788 .366 .056 .003 .031 .012 .027 .305 .919 .768 .371 .115 .019 .036 .030 .016 .155 .690 .705 .377 .213 .057 .019 .033 .015 .105 .568 .653 .380 .282 .094 .018 .037 .022 .070 .363 .492 .330 .254 .095 r_peak,r_snr = .2030963 12.18187 Correlation Surface of oversamples image at 146 5446 .019 .149 .386 .595 .669 .651 .587 .456 .277 .039 .199 .459 .698 .792 .755 .664 .524 .328 .049 .219 .496 .777 .913 .865 .737 .584 .384 .050 .208 .485 .804 .993 .949 .788 .623 .434 .049 .182 .438 .769 1.000 .981 .804 .623 .452 .052 .159 .382 .702 .960 .977 .802 .606 .448 .059 .145 .337 .639 .913 .970 .814 .609 .454 .064 .131 .292 .570 .856 .956 .833 .632 .477 .064 .113 .238 .474 .754 .899 .824 .645 .503 146 .188 5446 .875 12.18187 .014492 .086930 -.006742 Correlation Surface at 246 5446 .004 .129 .284 .164 .434 .205 .013 .004 .008 .007 .003 .083 .097 .383 .161 .037 .007 .046 .000 .039 .006 .198 .417 .069 .053 .033 .018 .048 .025 .008 .320 .677 .148 .000 .034 .000 .242 .011 .024 .255 1.000 .474 .112 .013 .041 .314 .066 .009 .098 .832 .620 .234 .209 .255 .149 .058 .003 .033 .408 .485 .242 .244 .318 .039 .062 .048 .073 .231 .466 .337 .091 .112 .036 .067 .072 .163 .254 .495 .369 .019 .019 r_peak,r_snr = 9.12611E-02 10.8211 Correlation Surface of oversamples image at 246 5446 .143 .007 .031 .191 .405 .339 .052 .039 .245 .161 .000 .123 .380 .575 .448 .114 .002 .119 .164 .003 .225 .598 .797 .617 .236 .021 .019 .169 .001 .240 .709 .974 .807 .405 .117 .006 .197 .010 .137 .611 1.000 .948 .577 .254 .070 .252 .087 .018 .355 .826 .956 .693 .379 .169 .319 .248 .020 .108 .521 .797 .688 .439 .251 .364 .416 .144 .004 .256 .580 .602 .441 .297 .350 .468 .243 .008 .127 .435 .536 .444 .329 246 .188 5446 -.031 10.82111 .040505 .255598 -.065014 Correlation Surface at 346 5446 .211 .036 .012 .221 .499 .165 .003 .062 .012 .353 .055 .026 .256 .398 .108 .008 .057 .002 .270 .040 .024 .290 .483 .121 .000 .023 .000 .135 .039 .007 .359 .863 .197 .001 .007 .002 .070 .033 .001 .309 1.000 .267 .007 .024 .018 .049 .012 .000 .141 .641 .305 .002 .026 .020 .045 .004 .000 .027 .327 .306 .029 .000 .004 .040 .001 .001 .001 .166 .212 .025 .008 .003 .054 .002 .001 .003 .061 .062 .003 .015 .021 r_peak,r_snr = .1469637 13.29201 Correlation Surface of oversamples image at 346 5446 .097 .238 .426 .553 .485 .274 .072 .001 .072 .089 .221 .420 .581 .522 .296 .086 .000 .043 .068 .197 .432 .671 .659 .400 .132 .005 .023 .046 .180 .461 .792 .856 .565 .201 .014 .017 .032 .167 .473 .864 1.000 .705 .259 .017 .022 .025 .147 .435 .815 .991 .743 .280 .015 .034 .024 .121 .347 .659 .843 .679 .277 .017 .033 .024 .085 .230 .456 .635 .561 .261 .026 .015 .024 .047 .119 .271 .442 .444 .243 .044 .001 346 -.063 5446 -1.281 13.29202 .008681 .070975 -.007868 Correlation Surface at 446 5446 .051 .005 .021 .149 .455 .466 .129 .003 .011 .046 .024 .001 .124 .578 .409 .102 .010 .047 .014 .039 .048 .061 .664 .466 .088 .016 .037 .009 .019 .052 .062 .782 .630 .061 .007 .033 .019 .001 .007 .127 1.000 .895 .034 .002 .041 .013 .001 .002 .160 .969 .987 .016 .027 .030 .002 .000 .001 .114 .687 .767 .025 .037 .009 .000 .004 .002 .054 .385 .440 .045 .006 .003 .000 .001 .001 .028 .183 .187 .023 .002 .006 r_peak,r_snr = .1313528 10.99239 Correlation Surface of oversamples image at 446 5446 .003 .039 .263 .589 .708 .507 .229 .078 .033 .001 .050 .296 .672 .848 .625 .257 .058 .012 .000 .059 .317 .728 .949 .708 .265 .032 .000 .000 .066 .330 .756 1.000 .743 .252 .013 .012 .001 .069 .333 .760 1.000 .735 .231 .003 .040 .002 .069 .332 .748 .970 .707 .219 .001 .060 .001 .065 .321 .717 .914 .670 .220 .003 .053 .000 .052 .281 .638 .804 .592 .208 .007 .030 .000 .035 .217 .509 .632 .460 .167 .010 .012 446 -.500 5446 -.219 10.99239 .015745 .335126 -.006708 Correlation Surface at 646 5446 .516 .502 .559 .675 .847 .767 .602 .580 .604 .481 .478 .564 .685 .837 .752 .570 .541 .608 .446 .466 .600 .777 .875 .734 .551 .512 .588 .423 .487 .666 .919 .960 .730 .543 .507 .586 .399 .488 .668 .949 1.000 .741 .562 .516 .590 .384 .455 .603 .842 .931 .744 .618 .561 .587 .399 .442 .561 .740 .820 .723 .689 .658 .623 .422 .465 .568 .681 .713 .687 .735 .773 .710 .426 .499 .593 .646 .636 .659 .767 .847 .781 r_peak,r_snr = .5165048 1.9747 Correlation Surface of oversamples image at 646 5446 .456 .537 .643 .747 .811 .807 .755 .695 .649 .465 .562 .690 .812 .877 .856 .779 .702 .648 .484 .592 .735 .873 .943 .910 .812 .714 .647 .507 .618 .766 .913 .989 .953 .843 .730 .651 .522 .632 .774 .920 1.000 .968 .860 .745 .661 .524 .630 .762 .898 .978 .953 .855 .750 .671 .515 .618 .739 .862 .935 .915 .832 .745 .679 .503 .605 .718 .827 .888 .870 .800 .731 .684 .492 .596 .705 .800 .847 .825 .764 .711 .683 646 -.344 5446 -.094 1.97470 .007074 .044400 -.004191 Correlation Surface at 746 5446 .187 .236 .320 .469 .544 .363 .235 .154 .085 .171 .219 .348 .557 .662 .436 .275 .206 .136 .210 .239 .398 .706 .834 .544 .339 .294 .221 .254 .271 .405 .756 .960 .640 .384 .338 .261 .247 .275 .364 .687 1.000 .710 .418 .342 .262 .229 .270 .332 .599 .962 .757 .451 .360 .302 .269 .310 .341 .527 .817 .717 .439 .384 .381 .350 .399 .393 .467 .647 .623 .402 .382 .419 .391 .476 .449 .424 .524 .557 .409 .412 .447 r_peak,r_snr = .3774247 3.62501 Correlation Surface of oversamples image at 746 5446 .343 .472 .607 .680 .629 .494 .371 .292 .246 .348 .502 .678 .794 .757 .597 .436 .332 .274 .350 .521 .732 .891 .877 .700 .506 .377 .305 .352 .532 .763 .953 .962 .783 .567 .416 .332 .352 .537 .771 .971 1.000 .833 .609 .446 .353 .350 .534 .760 .953 .995 .850 .631 .463 .368 .350 .525 .733 .908 .959 .842 .639 .473 .380 .353 .512 .694 .845 .904 .819 .640 .478 .391 .357 .496 .648 .775 .837 .783 .629 .475 .395 746 -.156 5446 -.813 3.62501 .011408 .311610 -.042919 Correlation Surface at 846 5446 .306 .516 .571 .525 .658 .763 .688 .612 .610 .308 .475 .549 .602 .682 .797 .747 .588 .479 .308 .407 .482 .698 .790 .838 .765 .562 .392 .323 .386 .455 .755 .945 .883 .737 .539 .398 .328 .435 .520 .751 1.000 .912 .663 .474 .415 .296 .451 .559 .672 .882 .861 .588 .418 .402 .254 .377 .506 .574 .701 .737 .557 .441 .412 .218 .319 .470 .542 .594 .643 .591 .526 .473 .197 .319 .497 .615 .632 .660 .631 .552 .482 r_peak,r_snr = .3548868 2.91284 Correlation Surface of oversamples image at 846 5446 .450 .561 .685 .748 .746 .752 .799 .841 .836 .470 .588 .738 .837 .842 .812 .810 .817 .789 .516 .626 .779 .906 .934 .889 .840 .799 .739 .571 .664 .799 .935 .993 .956 .875 .785 .688 .610 .687 .791 .917 1.000 .989 .898 .769 .639 .614 .680 .756 .858 .951 .974 .898 .751 .601 .587 .645 .697 .769 .857 .911 .868 .734 .585 .554 .605 .635 .677 .748 .817 .816 .720 .594 .533 .577 .589 .606 .654 .725 .758 .715 .632 846 .188 5446 .438 2.91284 .017994 .061809 -.004625 Correlation Surface at 946 5446 .056 .053 .145 .160 .098 .155 .116 .057 .076 .074 .033 .085 .237 .200 .155 .096 .066 .051 .075 .016 .056 .401 .489 .197 .084 .093 .053 .061 .011 .070 .590 .809 .324 .113 .109 .062 .036 .012 .113 .765 1.000 .551 .224 .130 .075 .014 .011 .136 .790 .996 .640 .317 .170 .109 .012 .009 .123 .695 .766 .407 .231 .205 .179 .029 .017 .108 .539 .454 .154 .136 .238 .280 .041 .037 .106 .338 .268 .099 .139 .250 .388 r_peak,r_snr = .1708368 5.1394 Correlation Surface of oversamples image at 946 5446 .021 .068 .198 .409 .552 .496 .305 .136 .053 .012 .064 .224 .502 .726 .688 .434 .188 .068 .008 .069 .264 .597 .865 .840 .563 .269 .110 .007 .079 .310 .678 .959 .938 .675 .378 .190 .009 .093 .348 .727 1.000 .986 .761 .496 .302 .014 .108 .372 .740 .989 .980 .800 .585 .407 .019 .116 .379 .728 .941 .918 .766 .594 .446 .020 .118 .380 .715 .885 .821 .658 .505 .392 .019 .117 .379 .704 .826 .701 .501 .350 .273 946 -8.281 5446 1.188 5.13940 .028146 .307117 -.027472 Correlation Surface at 1046 5446 .000 .003 .004 .174 .480 .169 .047 .039 .036 .015 .000 .000 .105 .550 .327 .064 .012 .012 .022 .000 .006 .192 .701 .466 .065 .001 .001 .023 .000 .040 .386 .985 .567 .046 .002 .021 .081 .009 .048 .417 1.000 .608 .046 .005 .014 .184 .046 .037 .290 .689 .526 .068 .001 .001 .185 .130 .076 .266 .502 .417 .086 .001 .001 .127 .259 .164 .282 .511 .427 .124 .009 .001 .074 .283 .162 .194 .525 .550 .242 .078 .004 r_peak,r_snr = .1479106 10.8474 Correlation Surface of oversamples image at 1046 5446 .016 .104 .274 .435 .421 .245 .086 .015 .000 .042 .167 .382 .585 .581 .358 .130 .020 .001 .080 .245 .513 .766 .772 .498 .194 .033 .001 .109 .298 .602 .896 .930 .642 .279 .057 .000 .110 .302 .610 .918 1.000 .755 .376 .098 .002 .092 .267 .550 .844 .967 .801 .457 .149 .011 .073 .224 .467 .722 .857 .765 .487 .187 .027 .067 .200 .406 .616 .736 .685 .469 .205 .043 .077 .200 .381 .555 .652 .613 .433 .206 .057 1046 .375 5446 .031 10.84741 .017300 .144594 -.004489 Correlation Surface at 1146 5446 .000 .031 .096 .124 .169 .112 .025 .007 .001 .001 .044 .189 .271 .238 .090 .015 .001 .004 .000 .019 .141 .473 .433 .140 .006 .001 .025 .005 .029 .078 .661 .776 .195 .003 .003 .043 .000 .029 .034 .650 1.000 .131 .000 .002 .062 .051 .000 .001 .445 .989 .104 .002 .003 .048 .123 .029 .011 .268 .870 .141 .036 .045 .005 .048 .010 .000 .176 .603 .111 .060 .080 .003 .001 .004 .040 .207 .381 .030 .004 .035 .014 r_peak,r_snr = .1364375 16.60686 Correlation Surface of oversamples image at 1146 5446 .157 .245 .388 .520 .543 .469 .329 .140 .022 .169 .243 .429 .656 .723 .591 .368 .147 .024 .153 .213 .435 .761 .883 .677 .360 .123 .018 .105 .153 .389 .795 .979 .714 .318 .081 .008 .050 .087 .309 .754 1.000 .717 .277 .050 .002 .013 .038 .223 .660 .950 .694 .250 .034 .000 .001 .014 .158 .552 .858 .656 .242 .031 .001 .000 .007 .118 .454 .747 .609 .243 .037 .002 .000 .008 .097 .363 .619 .540 .235 .041 .004 1146 -.531 5446 -1.625 16.60686 .010801 .340227 -.003191 Correlation Surface at 1246 5446 .000 .001 .079 .237 .204 .047 .016 .005 .000 .015 .020 .027 .258 .229 .072 .043 .017 .000 .017 .024 .021 .355 .266 .034 .037 .045 .012 .007 .007 .040 .542 .571 .035 .001 .023 .045 .015 .014 .022 .547 1.000 .171 .001 .001 .071 .032 .051 .000 .280 .826 .334 .007 .000 .067 .015 .028 .000 .134 .414 .255 .053 .003 .058 .000 .002 .030 .161 .248 .133 .087 .046 .100 .001 .014 .091 .226 .186 .057 .049 .092 .163 r_peak,r_snr = .1823972 17.44178 Correlation Surface of oversamples image at 1246 5446 .017 .113 .310 .442 .337 .135 .025 .004 .011 .029 .140 .387 .596 .499 .218 .043 .003 .001 .037 .161 .461 .783 .749 .391 .103 .009 .000 .027 .145 .465 .879 .960 .595 .204 .031 .000 .010 .100 .389 .818 1.000 .721 .311 .076 .005 .000 .053 .277 .644 .854 .694 .366 .129 .023 .001 .026 .185 .457 .624 .543 .336 .164 .055 .000 .022 .139 .327 .427 .368 .253 .166 .093 .004 .039 .139 .268 .310 .245 .174 .147 .125 1246 -.094 5446 .281 17.44178 .007632 .033547 -.007564 Correlation Surface at 1346 5446 .007 .036 .058 .024 .146 .057 .022 .004 .037 .002 .049 .079 .021 .211 .062 .007 .001 .012 .001 .039 .083 .044 .501 .184 .022 .000 .009 .008 .024 .054 .108 .951 .299 .022 .003 .016 .006 .012 .010 .185 1.000 .185 .000 .001 .020 .000 .007 .003 .189 .567 .032 .019 .000 .028 .000 .001 .032 .174 .252 .001 .033 .000 .036 .002 .001 .057 .199 .175 .005 .011 .002 .045 .003 .002 .045 .227 .206 .022 .002 .006 .065 r_peak,r_snr = .1683332 19.40216 Correlation Surface of oversamples image at 1346 5446 .099 .009 .045 .219 .321 .249 .125 .044 .007 .095 .006 .076 .339 .492 .378 .181 .057 .008 .085 .003 .108 .478 .707 .534 .236 .063 .008 .064 .001 .139 .601 .903 .667 .265 .054 .004 .037 .000 .165 .666 1.000 .719 .252 .033 .000 .014 .006 .183 .655 .961 .670 .204 .013 .004 .001 .019 .190 .576 .802 .536 .142 .002 .012 .001 .033 .176 .445 .574 .363 .083 .000 .017 .005 .043 .147 .304 .351 .204 .040 .000 .014 1346 .000 5446 -.406 19.40217 .005210 .053987 .006662 Correlation Surface at 1446 5446 .004 .001 .067 .318 .561 .416 .255 .160 .097 .036 .010 .042 .280 .602 .401 .184 .094 .065 .066 .038 .028 .284 .736 .477 .153 .032 .014 .077 .043 .039 .350 .951 .647 .164 .016 .002 .086 .039 .051 .380 1.000 .778 .180 .018 .006 .092 .047 .048 .336 .801 .679 .174 .024 .011 .092 .060 .037 .307 .629 .485 .169 .044 .013 .060 .059 .021 .292 .599 .418 .232 .089 .019 .012 .036 .005 .211 .594 .490 .359 .154 .033 r_peak,r_snr = .2273081 11.53391 Correlation Surface of oversamples image at 1446 5446 .117 .272 .491 .655 .608 .414 .238 .123 .054 .113 .271 .523 .749 .731 .509 .290 .145 .059 .122 .282 .555 .837 .859 .613 .343 .165 .067 .137 .295 .574 .896 .961 .707 .391 .178 .073 .148 .297 .566 .896 1.000 .765 .426 .186 .077 .148 .287 .532 .834 .956 .766 .441 .193 .081 .142 .270 .484 .732 .842 .704 .427 .197 .086 .137 .259 .447 .634 .706 .603 .392 .200 .096 .135 .260 .433 .571 .589 .498 .348 .205 .114 1446 .375 5446 -.063 11.53391 .008953 .096328 -.001889 Correlation Surface at 1546 5446 .279 .186 .358 .528 .516 .588 .395 .262 .227 .438 .296 .311 .490 .620 .609 .373 .252 .198 .421 .361 .355 .545 .789 .643 .332 .265 .295 .286 .354 .453 .719 .992 .828 .464 .351 .491 .236 .367 .481 .774 1.000 .969 .742 .474 .611 .298 .418 .435 .629 .777 .831 .814 .542 .569 .392 .473 .410 .503 .582 .566 .603 .558 .493 .408 .490 .463 .533 .598 .471 .431 .525 .473 .307 .418 .514 .629 .731 .590 .464 .487 .478 r_peak,r_snr = .2198956 2.82458 Correlation Surface of oversamples image at 1546 5446 .341 .469 .583 .617 .580 .528 .470 .391 .316 .355 .497 .646 .712 .672 .586 .484 .371 .288 .402 .556 .729 .828 .805 .705 .561 .405 .296 .461 .621 .802 .924 .933 .847 .685 .491 .342 .505 .659 .827 .957 1.000 .950 .807 .599 .410 .515 .650 .790 .909 .973 .964 .865 .680 .473 .493 .605 .714 .813 .876 .892 .839 .702 .514 .453 .546 .629 .697 .739 .756 .734 .650 .510 .415 .497 .559 .594 .603 .602 .586 .540 .463 1546 .594 5446 -11.313 2.82458 .098718 .120515 -.022064 Correlation Surface at 1646 5446 .001 .002 .044 .193 .414 .348 .144 .057 .019 .001 .001 .046 .216 .414 .311 .129 .052 .019 .000 .001 .055 .308 .543 .327 .116 .040 .018 .000 .005 .070 .432 .828 .447 .129 .037 .017 .000 .008 .079 .462 1.000 .576 .159 .045 .021 .000 .006 .074 .379 .848 .557 .167 .050 .023 .000 .006 .075 .313 .624 .451 .150 .046 .020 .000 .010 .088 .310 .530 .370 .128 .044 .018 .000 .012 .092 .307 .505 .324 .106 .041 .019 r_peak,r_snr = .5709494 13.24921 Correlation Surface of oversamples image at 1646 5446 .033 .127 .294 .457 .514 .447 .316 .185 .092 .037 .150 .363 .581 .651 .544 .360 .197 .094 .041 .166 .419 .704 .812 .674 .429 .223 .102 .043 .172 .447 .785 .945 .802 .506 .257 .115 .044 .170 .441 .799 1.000 .878 .564 .287 .128 .046 .163 .411 .747 .959 .872 .578 .300 .135 .048 .156 .372 .659 .850 .795 .546 .291 .133 .050 .153 .340 .574 .729 .690 .489 .268 .124 .054 .153 .320 .512 .630 .594 .427 .238 .111 1646 .063 5446 .063 13.24922 .000890 .004645 -.000286 Correlation Surface at 1746 5446 .171 .201 .183 .251 .403 .262 .134 .091 .045 .128 .179 .199 .301 .469 .284 .132 .094 .057 .083 .133 .194 .349 .566 .299 .108 .082 .072 .072 .108 .179 .417 .804 .402 .102 .062 .068 .082 .097 .155 .446 1.000 .535 .114 .056 .053 .093 .093 .125 .369 .814 .479 .113 .056 .041 .100 .101 .104 .289 .560 .330 .096 .049 .032 .096 .113 .107 .276 .488 .256 .084 .049 .027 .090 .119 .119 .254 .445 .226 .077 .060 .036 r_peak,r_snr = .4283962 10.01266 Correlation Surface of oversamples image at 1746 5446 .183 .250 .357 .483 .535 .452 .303 .181 .108 .191 .270 .402 .567 .647 .548 .355 .198 .111 .195 .288 .451 .670 .794 .683 .434 .229 .120 .191 .294 .486 .758 .932 .819 .519 .265 .131 .176 .284 .490 .789 1.000 .898 .576 .293 .143 .154 .258 .457 .749 .960 .875 .572 .298 .150 .131 .222 .401 .655 .832 .759 .505 .273 .146 .112 .189 .344 .555 .686 .614 .411 .230 .133 .099 .166 .306 .485 .577 .498 .327 .185 .114 1746 .094 5446 .094 10.01267 .001707 .008661 -.000421 Correlation Surface at 1846 5446 .000 .009 .036 .161 .287 .117 .023 .003 .000 .000 .008 .019 .136 .335 .141 .027 .011 .000 .000 .008 .011 .164 .498 .190 .031 .026 .002 .000 .009 .019 .279 .861 .313 .039 .033 .006 .000 .013 .033 .328 1.000 .366 .045 .026 .006 .000 .014 .033 .243 .687 .253 .039 .028 .008 .001 .010 .020 .156 .392 .146 .039 .041 .014 .004 .009 .014 .104 .264 .107 .040 .045 .013 .003 .011 .019 .071 .178 .084 .035 .032 .007 r_peak,r_snr = .3709358 34.31287 Correlation Surface of oversamples image at 1846 5446 .010 .044 .161 .364 .495 .411 .218 .091 .048 .016 .063 .218 .486 .654 .526 .264 .103 .052 .027 .092 .292 .630 .840 .667 .324 .119 .057 .041 .122 .355 .741 .979 .776 .373 .132 .058 .053 .140 .379 .765 1.000 .791 .380 .132 .054 .059 .140 .357 .695 .891 .700 .337 .118 .047 .056 .124 .302 .569 .708 .545 .262 .094 .041 .045 .097 .236 .436 .524 .390 .186 .071 .036 .032 .071 .177 .326 .381 .274 .130 .055 .035 1846 .031 5446 -.188 34.31287 .001527 .009326 .000069 Correlation Surface at 1946 5446 .000 .003 .003 .012 .078 .039 .005 .004 .000 .001 .001 .003 .015 .116 .069 .019 .020 .007 .000 .000 .000 .049 .271 .151 .031 .025 .014 .001 .001 .001 .159 .692 .355 .050 .020 .008 .006 .005 .000 .216 1.000 .542 .069 .022 .006 .003 .006 .001 .095 .624 .395 .052 .024 .013 .000 .005 .006 .015 .196 .152 .025 .019 .026 .000 .002 .002 .013 .099 .080 .025 .023 .032 .001 .000 .002 .047 .124 .089 .051 .046 .037 r_peak,r_snr = .4084735 43.7031 Correlation Surface of oversamples image at 1946 5446 .007 .000 .032 .139 .250 .253 .164 .085 .047 .004 .004 .073 .254 .421 .398 .238 .110 .053 .001 .015 .138 .418 .662 .608 .349 .149 .063 .000 .029 .203 .575 .897 .822 .468 .190 .075 .000 .036 .229 .636 1.000 .934 .537 .214 .079 .000 .029 .193 .553 .899 .868 .511 .202 .071 .000 .013 .120 .379 .650 .656 .399 .160 .055 .002 .003 .057 .213 .390 .414 .263 .109 .038 .004 .000 .025 .111 .216 .238 .160 .071 .028 1946 .188 5446 .031 43.70311 .001294 .003679 -.000173 Correlation Surface at 2046 5446 .009 .001 .024 .038 .024 .016 .002 .001 .002 .019 .003 .028 .049 .026 .007 .000 .000 .004 .015 .009 .030 .096 .111 .023 .002 .001 .001 .001 .018 .034 .208 .532 .193 .015 .000 .000 .000 .024 .042 .279 1.000 .517 .042 .000 .000 .000 .014 .032 .210 .717 .415 .039 .002 .001 .005 .001 .010 .107 .270 .114 .009 .002 .002 .008 .003 .000 .051 .126 .026 .001 .000 .000 .008 .006 .000 .022 .102 .036 .005 .000 .000 r_peak,r_snr = .3099618 59.90472 Correlation Surface of oversamples image at 2046 5446 .034 .065 .121 .170 .156 .090 .033 .011 .004 .027 .062 .157 .290 .334 .233 .099 .031 .010 .020 .059 .196 .441 .594 .473 .224 .072 .020 .014 .055 .224 .576 .859 .751 .389 .131 .035 .009 .050 .229 .632 1.000 .932 .520 .186 .051 .005 .041 .205 .578 .935 .902 .531 .202 .060 .002 .029 .160 .446 .711 .685 .411 .163 .053 .000 .017 .110 .302 .456 .420 .242 .095 .034 .001 .008 .073 .195 .272 .225 .115 .041 .015 2046 .188 5446 .125 59.90473 .002555 .006025 -.000533 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .013 .048 .160 .334 .341 .091 .014 .002 .015 .004 .029 .117 .241 .379 .095 .000 .001 .017 .014 .049 .176 .314 .527 .137 .003 .036 .051 .038 .085 .257 .525 .874 .240 .000 .048 .057 .016 .050 .245 .605 1.000 .382 .013 .006 .011 .001 .005 .196 .489 .612 .296 .019 .000 .000 .005 .000 .154 .431 .345 .122 .000 .000 .000 .000 .000 .120 .483 .429 .114 .003 .007 .001 .005 .001 .110 .512 .606 .251 .001 .019 .007 r_peak,r_snr = .175311 11.08656 Correlation Surface of oversamples image at 146 5846 .118 .250 .399 .533 .560 .392 .136 .009 .012 .146 .287 .459 .636 .688 .499 .198 .024 .006 .188 .344 .540 .761 .845 .635 .277 .050 .001 .245 .423 .636 .872 .973 .760 .362 .086 .001 .310 .519 .734 .930 1.000 .802 .412 .119 .009 .368 .620 .820 .932 .927 .742 .403 .132 .018 .398 .694 .872 .886 .795 .618 .350 .124 .022 .380 .711 .875 .812 .659 .487 .278 .100 .017 .334 .682 .850 .755 .572 .399 .220 .075 .010 146 -.063 5846 -.125 11.08656 .011273 .042086 -.001915 Correlation Surface at 346 5846 .048 .008 .082 .280 .582 .835 .280 .095 .081 .138 .041 .059 .390 .738 .672 .129 .020 .010 .325 .039 .041 .317 .701 .431 .072 .041 .023 .301 .004 .027 .226 .826 .562 .100 .075 .066 .108 .004 .007 .116 1.000 .828 .152 .031 .060 .020 .035 .030 .061 .808 .767 .192 .014 .035 .008 .058 .165 .139 .568 .571 .251 .044 .021 .037 .025 .232 .322 .565 .593 .387 .127 .042 .135 .000 .089 .318 .632 .666 .436 .219 .144 r_peak,r_snr = .1057998 10.04271 Correlation Surface of oversamples image at 346 5846 .170 .310 .491 .689 .868 .920 .716 .390 .176 .236 .424 .670 .888 1.000 .908 .601 .262 .077 .264 .463 .742 .966 .992 .765 .425 .154 .035 .270 .456 .734 .953 .902 .589 .276 .094 .031 .243 .408 .677 .899 .820 .484 .204 .076 .048 .184 .337 .619 .873 .809 .482 .206 .087 .081 346 .750 5846 -3.750 10.04272 .026851 .290369 -.041911 Correlation Surface at 446 5846 .004 .009 .267 .711 .368 .095 .049 .033 .027 .015 .004 .166 .712 .278 .045 .084 .170 .079 .010 .037 .131 .665 .417 .089 .156 .314 .135 .000 .118 .165 .630 .784 .260 .194 .241 .098 .009 .118 .266 .733 1.000 .316 .128 .134 .065 .039 .038 .236 .706 .761 .161 .059 .119 .093 .037 .018 .121 .387 .426 .088 .060 .200 .128 .007 .040 .088 .186 .327 .123 .089 .286 .110 .002 .063 .116 .169 .381 .186 .068 .203 .087 r_peak,r_snr = .1491466 11.81143 Correlation Surface of oversamples image at 446 5846 .096 .240 .454 .567 .486 .322 .208 .161 .153 .107 .232 .463 .681 .689 .503 .312 .200 .146 .128 .250 .496 .796 .883 .673 .397 .217 .127 .150 .288 .549 .884 1.000 .760 .425 .209 .105 .159 .323 .592 .909 1.000 .741 .398 .187 .091 .144 .317 .568 .828 .872 .625 .327 .155 .081 .114 .263 .468 .662 .675 .466 .234 .114 .069 .085 .190 .339 .484 .494 .329 .151 .071 .054 .062 .123 .225 .342 .367 .239 .091 .032 .031 446 -.094 5846 .281 11.81143 .017144 .081377 .007366 Correlation Surface at 546 5846 .036 .146 .231 .164 .225 .298 .149 .114 .071 .030 .122 .133 .083 .145 .253 .112 .079 .039 .056 .173 .208 .202 .264 .302 .150 .142 .100 .132 .239 .335 .502 .657 .461 .249 .259 .245 .244 .257 .377 .664 1.000 .680 .275 .206 .202 .302 .253 .372 .573 .906 .750 .192 .056 .057 .219 .241 .332 .440 .665 .594 .113 .009 .020 .077 .193 .274 .354 .549 .514 .143 .026 .037 .013 .124 .332 .355 .556 .625 .295 .116 .093 r_peak,r_snr = .1755737 6.55681 Correlation Surface of oversamples image at 546 5846 .208 .200 .190 .203 .250 .285 .246 .152 .085 .245 .293 .340 .389 .425 .413 .328 .218 .146 .276 .389 .523 .641 .674 .593 .441 .304 .224 .290 .451 .655 .850 .905 .770 .555 .383 .284 .286 .458 .675 .905 1.000 .868 .626 .424 .293 .273 .424 .604 .809 .939 .862 .638 .415 .255 .257 .378 .495 .639 .777 .769 .591 .365 .190 .244 .337 .402 .482 .599 .637 .510 .300 .132 .232 .303 .339 .379 .465 .516 .429 .248 .100 546 -1.031 5846 -8.969 6.55681 .028191 .059444 -.008749 Correlation Surface at 646 5846 .065 .001 .195 .513 .387 .066 .048 .032 .022 .160 .041 .035 .342 .387 .094 .054 .050 .098 .097 .044 .002 .226 .406 .141 .057 .063 .182 .005 .001 .022 .364 .727 .248 .079 .045 .181 .005 .027 .111 .518 1.000 .354 .087 .007 .077 .001 .060 .179 .383 .624 .246 .061 .003 .002 .012 .039 .147 .233 .284 .106 .045 .004 .011 .052 .009 .089 .194 .264 .113 .082 .004 .009 .048 .000 .042 .139 .275 .192 .138 .030 .000 r_peak,r_snr = .1772636 15.08656 Correlation Surface of oversamples image at 646 5846 .000 .042 .191 .337 .335 .196 .060 .005 .001 .000 .062 .269 .484 .490 .293 .101 .017 .000 .005 .105 .392 .697 .720 .447 .170 .039 .003 .020 .153 .502 .884 .934 .602 .248 .067 .008 .042 .181 .528 .927 1.000 .667 .291 .086 .010 .068 .183 .458 .788 .864 .591 .268 .083 .008 .090 .164 .338 .554 .603 .413 .188 .057 .003 .098 .137 .233 .355 .370 .243 .106 .030 .000 .095 .118 .175 .245 .240 .146 .060 .017 .000 646 -.188 5846 -.094 15.08657 .008906 .026972 .000240 Correlation Surface at 746 5846 .000 .012 .002 .036 .049 .002 .007 .056 .014 .000 .000 .022 .229 .320 .102 .024 .046 .054 .006 .002 .073 .571 .656 .217 .046 .006 .006 .040 .010 .075 .727 .930 .211 .009 .000 .034 .159 .047 .042 .657 1.000 .253 .001 .000 .076 .294 .112 .036 .514 .719 .254 .004 .008 .033 .216 .071 .036 .267 .327 .132 .012 .007 .014 .051 .000 .020 .034 .057 .022 .023 .001 .020 .002 .034 .021 .008 .005 .004 .008 .014 .023 r_peak,r_snr = .1414576 18.85188 Correlation Surface of oversamples image at 746 5846 .047 .152 .341 .541 .557 .369 .182 .070 .013 .054 .181 .397 .640 .689 .455 .190 .049 .004 .044 .192 .449 .750 .842 .573 .220 .042 .001 .030 .195 .489 .829 .961 .688 .273 .050 .001 .023 .201 .512 .851 1.000 .757 .337 .075 .003 .024 .205 .505 .803 .931 .737 .375 .112 .010 .030 .192 .446 .678 .752 .602 .341 .131 .022 .037 .154 .337 .497 .516 .394 .240 .116 .032 .039 .095 .199 .296 .281 .188 .116 .073 .033 746 -.063 5846 .438 18.85188 .014802 .148084 -.011997 Correlation Surface at 946 5846 .018 .004 .000 .110 .350 .323 .109 .058 .052 .013 .030 .011 .198 .442 .266 .160 .153 .136 .005 .036 .055 .354 .716 .285 .152 .172 .137 .006 .024 .049 .411 .995 .466 .142 .141 .091 .018 .013 .012 .341 1.000 .672 .188 .123 .043 .010 .000 .000 .286 .815 .667 .247 .164 .022 .000 .034 .005 .297 .663 .480 .191 .170 .013 .001 .046 .013 .299 .685 .348 .058 .059 .005 .047 .001 .002 .267 .727 .387 .020 .002 .002 r_peak,r_snr = .149379 10.18393 Correlation Surface of oversamples image at 946 5846 .056 .126 .274 .442 .471 .346 .215 .154 .154 .072 .168 .355 .568 .611 .437 .242 .148 .137 .071 .189 .422 .699 .781 .572 .300 .153 .118 .053 .173 .439 .785 .930 .719 .381 .172 .106 .030 .132 .400 .789 1.000 .828 .467 .206 .109 .013 .089 .327 .713 .967 .859 .530 .251 .130 .005 .057 .251 .593 .847 .805 .548 .292 .164 .002 .039 .193 .469 .688 .686 .510 .308 .195 .000 .033 .165 .384 .551 .556 .435 .287 .199 946 .063 5846 .656 10.18393 .022134 .484707 -.055939 Correlation Surface at 1046 5846 .098 .075 .007 .107 .251 .046 .002 .000 .003 .092 .124 .029 .183 .527 .091 .002 .011 .006 .105 .136 .065 .171 .772 .202 .013 .032 .029 .167 .111 .046 .180 .957 .334 .035 .033 .017 .249 .114 .021 .244 1.000 .370 .035 .011 .000 .276 .146 .038 .205 .682 .238 .031 .002 .007 .210 .152 .081 .061 .279 .109 .051 .003 .024 .081 .094 .074 .003 .097 .055 .067 .009 .053 .011 .043 .023 .006 .086 .041 .036 .006 .069 r_peak,r_snr = .1820919 19.37333 Correlation Surface of oversamples image at 1046 5846 .031 .006 .181 .526 .693 .492 .197 .058 .030 .027 .005 .180 .570 .808 .616 .273 .091 .045 .019 .008 .196 .627 .916 .726 .338 .112 .048 .014 .013 .224 .684 .988 .787 .367 .113 .038 .013 .018 .252 .720 1.000 .776 .351 .097 .023 .018 .019 .260 .705 .931 .691 .298 .074 .012 .029 .012 .230 .613 .776 .553 .231 .057 .008 .047 .003 .164 .458 .567 .395 .169 .049 .010 .069 .000 .090 .288 .361 .253 .117 .047 .019 1046 .031 5846 -.188 19.37334 .005616 .076091 .002983 Correlation Surface at 1146 5846 .003 .028 .126 .308 .391 .304 .142 .142 .229 .001 .033 .099 .298 .483 .403 .199 .215 .221 .011 .051 .077 .300 .715 .548 .306 .237 .160 .020 .095 .106 .380 .977 .599 .330 .208 .116 .032 .167 .176 .455 1.000 .543 .275 .198 .113 .046 .176 .192 .396 .756 .458 .269 .226 .130 .068 .128 .132 .266 .460 .352 .299 .247 .110 .058 .096 .106 .201 .304 .252 .242 .207 .043 .023 .086 .136 .224 .300 .178 .137 .158 .023 r_peak,r_snr = .1980046 11.43416 Correlation Surface of oversamples image at 1146 5846 .201 .230 .339 .538 .719 .763 .632 .428 .285 .192 .223 .349 .590 .813 .850 .693 .486 .338 .191 .224 .369 .646 .899 .910 .706 .495 .363 .206 .239 .396 .699 .967 .946 .688 .466 .357 .237 .265 .421 .728 1.000 .965 .669 .431 .335 .270 .292 .432 .716 .980 .964 .668 .413 .319 .289 .305 .422 .661 .903 .924 .675 .420 .324 .282 .297 .394 .579 .781 .837 .663 .444 .351 .253 .274 .357 .494 .642 .711 .620 .468 .396 1146 .219 5846 .688 11.43416 .009505 .115511 .006534 Correlation Surface at 1246 5846 .031 .014 .017 .015 .050 .026 .007 .000 .004 .005 .002 .004 .029 .065 .021 .001 .001 .000 .002 .002 .000 .036 .122 .079 .010 .000 .002 .005 .002 .001 .078 .407 .197 .016 .002 .008 .067 .010 .000 .166 1.000 .331 .001 .007 .010 .111 .001 .021 .151 .956 .303 .011 .011 .000 .059 .000 .066 .067 .353 .156 .010 .001 .020 .028 .013 .041 .048 .127 .078 .002 .015 .098 .059 .097 .004 .075 .171 .068 .028 .085 .115 r_peak,r_snr = .1273145 16.01 Correlation Surface of oversamples image at 1246 5846 .037 .000 .061 .181 .229 .200 .158 .132 .097 .063 .003 .071 .285 .400 .328 .205 .126 .075 .089 .009 .082 .430 .663 .517 .254 .101 .039 .090 .014 .086 .550 .918 .709 .290 .068 .010 .062 .013 .075 .551 1.000 .794 .289 .039 .000 .024 .006 .052 .419 .833 .699 .243 .019 .003 .002 .000 .033 .248 .538 .493 .179 .012 .003 .003 .003 .022 .123 .282 .289 .123 .014 .000 .011 .009 .017 .058 .132 .150 .080 .020 .006 1246 .094 5846 -.563 16.01001 .008829 .047655 .000046 Correlation Surface at 1346 5846 .088 .078 .001 .066 .064 .043 .035 .115 .076 .082 .010 .020 .137 .109 .048 .001 .010 .009 .043 .006 .081 .270 .269 .062 .010 .006 .000 .013 .021 .109 .447 .742 .172 .013 .018 .001 .000 .020 .078 .429 1.000 .287 .002 .010 .007 .001 .022 .047 .213 .414 .126 .004 .010 .139 .000 .018 .023 .080 .030 .000 .013 .141 .367 .002 .015 .004 .031 .002 .018 .008 .209 .269 .004 .005 .004 .000 .009 .000 .002 .121 .049 r_peak,r_snr = .1161473 13.45963 Correlation Surface of oversamples image at 1346 5846 .006 .104 .330 .469 .408 .262 .140 .041 .002 .022 .146 .393 .556 .513 .354 .199 .067 .004 .038 .171 .438 .662 .681 .524 .324 .134 .018 .046 .169 .436 .742 .882 .763 .513 .241 .049 .049 .148 .381 .729 1.000 .949 .666 .332 .080 .047 .121 .297 .602 .908 .905 .639 .325 .084 .038 .091 .208 .405 .612 .603 .412 .213 .059 .025 .058 .127 .212 .272 .231 .138 .071 .022 .018 .036 .073 .092 .069 .027 .005 .002 .002 1346 -.313 5846 -.375 13.45963 .015513 .036673 -.002467 Correlation Surface at 1446 5846 .056 .154 .285 .095 .088 .016 .001 .042 .109 .010 .072 .205 .148 .094 .018 .001 .093 .305 .002 .045 .052 .159 .232 .056 .016 .174 .426 .008 .098 .042 .215 .642 .152 .030 .127 .232 .016 .140 .116 .345 1.000 .270 .027 .026 .057 .047 .110 .111 .371 .844 .292 .042 .009 .044 .155 .105 .030 .245 .554 .239 .100 .070 .125 .200 .093 .003 .157 .411 .189 .145 .209 .176 .071 .038 .001 .139 .367 .168 .150 .208 .121 r_peak,r_snr = .1398704 9.6326 Correlation Surface of oversamples image at 1446 5846 .036 .069 .153 .236 .216 .116 .027 .002 .003 .025 .056 .182 .380 .425 .253 .068 .007 .007 .041 .073 .236 .555 .702 .454 .128 .014 .006 .097 .134 .319 .705 .939 .640 .182 .015 .001 .182 .236 .413 .766 1.000 .696 .193 .010 .000 .241 .331 .483 .726 .875 .612 .168 .006 .003 .209 .334 .470 .604 .655 .452 .126 .004 .003 .113 .238 .380 .468 .464 .314 .093 .005 .000 .033 .121 .266 .361 .350 .237 .080 .011 .003 1446 .000 5846 -.094 9.63260 .009144 .069629 -.000138 Correlation Surface at 1546 5846 .198 .257 .357 .544 .716 .740 .617 .474 .384 .188 .293 .390 .595 .785 .788 .673 .535 .475 .176 .308 .421 .668 .910 .852 .725 .577 .505 .176 .320 .435 .685 .998 .887 .726 .570 .453 .174 .305 .428 .641 1.000 .918 .688 .517 .368 .162 .246 .396 .583 .918 .960 .692 .460 .309 .147 .189 .344 .538 .776 .923 .700 .432 .298 .152 .191 .325 .534 .720 .856 .666 .443 .317 .169 .234 .357 .567 .789 .870 .633 .483 .335 r_peak,r_snr = .4101596 3.55667 Correlation Surface of oversamples image at 1546 5846 .413 .553 .702 .794 .805 .766 .702 .635 .582 .428 .578 .747 .854 .859 .801 .729 .662 .605 .437 .590 .777 .907 .916 .840 .754 .681 .616 .437 .587 .786 .943 .968 .883 .778 .689 .611 .427 .567 .769 .949 1.000 .921 .800 .689 .592 .408 .534 .726 .917 .998 .943 .819 .686 .568 .383 .493 .666 .852 .958 .939 .831 .685 .547 .357 .456 .602 .770 .888 .906 .826 .683 .532 .338 .429 .553 .696 .808 .849 .801 .676 .525 1546 .469 5846 -4.781 3.55667 .009757 .173406 -.020926 Correlation Surface at 1646 5846 .047 .056 .112 .297 .473 .427 .343 .280 .194 .049 .067 .113 .322 .496 .445 .350 .255 .151 .077 .099 .128 .380 .616 .493 .380 .282 .160 .095 .129 .164 .476 .876 .581 .380 .293 .160 .081 .124 .195 .495 1.000 .614 .332 .255 .134 .057 .087 .188 .387 .750 .511 .274 .217 .134 .060 .063 .157 .291 .472 .363 .248 .225 .190 .096 .082 .150 .272 .391 .301 .250 .247 .251 .137 .142 .179 .268 .369 .306 .251 .249 .252 r_peak,r_snr = .3793322 7.16932 Correlation Surface of oversamples image at 1646 5846 .073 .142 .286 .428 .481 .451 .378 .299 .241 .082 .154 .326 .527 .610 .555 .442 .339 .271 .102 .178 .379 .648 .773 .685 .514 .375 .290 .131 .208 .429 .754 .923 .807 .578 .396 .293 .161 .237 .456 .803 1.000 .877 .613 .401 .280 .182 .251 .444 .763 .965 .862 .607 .391 .260 .184 .243 .392 .649 .830 .765 .559 .369 .243 .167 .219 .326 .513 .658 .629 .486 .339 .232 .147 .196 .274 .405 .513 .505 .412 .309 .226 1646 .063 5846 .125 7.16932 .002803 .012364 -.000155 Correlation Surface at 1746 5846 .070 .094 .121 .144 .171 .195 .150 .105 .100 .051 .083 .121 .183 .219 .201 .156 .113 .110 .042 .078 .126 .261 .376 .242 .147 .124 .133 .044 .087 .161 .416 .729 .374 .132 .124 .146 .049 .106 .213 .551 1.000 .498 .123 .112 .140 .061 .125 .240 .534 .899 .481 .117 .099 .122 .075 .143 .240 .463 .712 .404 .109 .091 .105 .080 .152 .230 .426 .619 .361 .103 .083 .101 .082 .154 .207 .371 .515 .323 .105 .080 .102 r_peak,r_snr = .4339985 11.02293 Correlation Surface of oversamples image at 1746 5846 .089 .143 .225 .312 .346 .302 .222 .156 .125 .105 .176 .299 .445 .510 .432 .285 .175 .129 .128 .219 .386 .604 .718 .604 .372 .203 .135 .153 .261 .465 .743 .904 .768 .460 .232 .141 .176 .291 .512 .814 1.000 .861 .515 .252 .144 .193 .306 .517 .802 .981 .854 .519 .254 .142 .205 .305 .489 .730 .879 .774 .482 .242 .136 .212 .299 .450 .641 .756 .671 .430 .225 .129 .218 .291 .414 .566 .653 .579 .381 .208 .125 1746 .063 5846 .188 11.02294 .001835 .008533 .000020 Correlation Surface at 1846 5846 .148 .210 .291 .442 .583 .386 .220 .160 .123 .156 .203 .244 .395 .615 .401 .214 .175 .144 .162 .193 .228 .403 .676 .414 .199 .177 .159 .159 .165 .213 .464 .860 .481 .190 .161 .154 .158 .145 .182 .481 1.000 .553 .189 .139 .137 .166 .157 .175 .425 .839 .490 .186 .119 .114 .165 .172 .192 .378 .608 .366 .183 .117 .107 .153 .170 .199 .350 .499 .317 .192 .137 .123 .159 .175 .196 .325 .454 .317 .203 .146 .129 r_peak,r_snr = .4681577 6.84189 Correlation Surface of oversamples image at 1846 5846 .190 .245 .376 .557 .661 .585 .412 .277 .218 .178 .244 .396 .612 .739 .653 .450 .289 .216 .163 .244 .427 .689 .849 .750 .504 .307 .216 .147 .241 .450 .756 .956 .849 .558 .324 .214 .135 .232 .450 .774 1.000 .899 .588 .331 .207 .132 .223 .427 .736 .959 .874 .575 .320 .194 .139 .217 .393 .659 .854 .782 .522 .294 .178 .150 .213 .357 .571 .726 .665 .455 .267 .168 .159 .208 .323 .492 .612 .564 .400 .252 .170 1846 .094 5846 .031 6.84189 .001486 .010003 -.000187 Correlation Surface at 1946 5846 .003 .010 .012 .009 .029 .000 .047 .012 .006 .010 .021 .008 .018 .065 .009 .019 .012 .007 .013 .028 .010 .053 .228 .071 .000 .008 .005 .010 .013 .014 .118 .681 .317 .024 .003 .000 .008 .002 .008 .149 1.000 .602 .090 .000 .004 .005 .001 .004 .110 .673 .491 .115 .003 .002 .002 .005 .003 .059 .257 .203 .108 .016 .002 .001 .012 .001 .023 .098 .062 .107 .047 .015 .006 .016 .000 .007 .046 .019 .076 .061 .035 r_peak,r_snr = .2553177 37.72277 Correlation Surface of oversamples image at 1946 5846 .012 .022 .106 .242 .245 .111 .020 .001 .000 .019 .031 .148 .390 .471 .273 .076 .012 .002 .027 .043 .190 .546 .763 .534 .192 .045 .011 .031 .052 .211 .633 .986 .792 .340 .099 .032 .031 .057 .204 .601 1.000 .890 .439 .151 .056 .030 .056 .173 .470 .798 .766 .428 .173 .073 .027 .048 .124 .298 .497 .505 .322 .159 .079 .023 .034 .075 .155 .246 .261 .195 .129 .083 .021 .023 .042 .074 .106 .115 .106 .103 .094 1946 .125 5846 -.188 37.72277 .003213 .012410 -.000711 Correlation Surface at 2046 5846 .000 .004 .006 .017 .107 .033 .005 .024 .014 .000 .002 .004 .019 .096 .022 .004 .014 .025 .001 .002 .003 .047 .204 .044 .003 .011 .027 .000 .007 .005 .135 .673 .221 .000 .006 .014 .000 .009 .009 .177 1.000 .406 .008 .001 .002 .003 .002 .010 .099 .600 .248 .009 .000 .000 .002 .000 .005 .035 .227 .082 .003 .000 .000 .001 .000 .001 .011 .103 .042 .000 .001 .001 .007 .006 .002 .003 .053 .027 .001 .015 .005 r_peak,r_snr = .3331848 62.88279 Correlation Surface of oversamples image at 2046 5846 .008 .000 .042 .149 .200 .128 .031 .000 .012 .009 .000 .063 .239 .353 .253 .077 .002 .011 .010 .001 .094 .375 .601 .478 .176 .015 .006 .014 .001 .122 .507 .863 .741 .310 .042 .001 .020 .001 .129 .564 1.000 .903 .410 .073 .000 .026 .000 .108 .507 .920 .854 .408 .086 .003 .031 .001 .072 .371 .681 .638 .309 .067 .004 .029 .003 .039 .236 .438 .407 .193 .039 .002 .022 .004 .019 .143 .276 .257 .118 .021 .000 2046 .188 5846 .094 62.88280 .001592 .005399 -.000141 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2136889 25.17158 146 .094 3046 .094 25.17158 .006590 .014208 -.000869 r_peak,r_snr = .2305307 10.49968 246 -.313 3046 -.656 10.49968 .006587 .084316 -.006294 r_peak,r_snr = .1316247 13.81902 346 -.063 3046 -.531 13.81902 .012692 .064300 -.006254 r_peak,r_snr = .1626135 23.00244 446 .250 3046 .656 23.00244 .008991 .059360 -.002041 r_peak,r_snr = .292379 3.75725 546 -.219 3046 .063 3.75725 .010368 .058967 .004711 r_peak,r_snr = .4998475 2.26512 646 -.219 3046 1.000 2.26512 .005732 .179572 -.010187 r_peak,r_snr = .3213962 59.53462 746 .156 3046 -.094 59.53462 .001765 .004062 -.000263 r_peak,r_snr = .2838239 14.12256 846 -.031 3046 -.281 14.12257 .003600 .279841 .003026 r_peak,r_snr = .1316689 12.32522 946 -.188 3046 .156 12.32523 .009518 .210776 -.000346 r_peak,r_snr = .1785464 12.81723 1046 -.219 3046 .406 12.81723 .008855 .087562 .005603 r_peak,r_snr = .1732223 23.14429 1146 .156 3046 .031 23.14430 .007567 .039797 .000150 r_peak,r_snr = 7.93996E-02 6.26451 1246 .313 3046 .656 6.26451 .030832 .137010 -.020454 r_peak,r_snr = .3386699 16.33182 1346 .031 3046 -.344 16.33183 .002274 .018130 -.000573 r_peak,r_snr = .2586242 16.75068 1446 .188 3046 .000 16.75069 .004727 .026751 -.002047 r_peak,r_snr = .2264722 4.53716 1546 .063 3046 .375 4.53716 .012770 .126749 .006360 r_peak,r_snr = .1441369 17.31544 1646 .094 3046 .500 17.31544 .007258 .055706 -.008247 r_peak,r_snr = .1066855 4.70706 1746 14.094 3046 3.406 4.70706 .084443 .085214 -.020531 r_peak,r_snr = .3089334 9.46179 1846 .250 3046 -3.813 9.46179 .003565 .038914 -.001502 r_peak,r_snr = .2709675 26.14798 1946 .063 3046 -.469 26.14799 .002963 .022030 -.001077 r_peak,r_snr = .2361459 17.94047 2046 .156 3046 .625 17.94048 .004664 .041568 -.006179 At line = 3400 Reading in data.... r_peak,r_snr = .1629434 11.76736 146 .000 3446 .313 11.76736 .008226 .051753 -.002164 r_peak,r_snr = .3263797 5.26239 246 .125 3446 -.031 5.26239 .005275 .037496 -.000729 r_peak,r_snr = .202453 21.84734 346 -.188 3446 -.875 21.84735 .005474 .024848 -.001389 r_peak,r_snr = .1624212 16.77399 446 .063 3446 -.406 16.77400 .006241 .142939 -.014746 r_peak,r_snr = .1934291 14.68982 546 -.063 3446 .188 14.68982 .009578 .186804 .002665 r_peak,r_snr = .3353417 2.54194 646 .063 3446 -.344 2.54194 .007836 .190557 -.015787 r_peak,r_snr = .360157 29.24805 746 .156 3446 .125 29.24806 .001580 .007082 -.000605 r_peak,r_snr = .1550733 9.68138 846 -.656 3446 -9.156 9.68138 .029993 .065264 -.008301 r_peak,r_snr = .1703649 17.65062 946 -.156 3446 -2.094 17.65063 .014359 .657927 -.045846 r_peak,r_snr = .1064913 13.14437 1046 .125 3446 .719 13.14438 .014080 .164758 .007025 r_peak,r_snr = .1655246 3.85865 1146 5.656 3446 3.500 3.85865 .020344 .027970 -.005758 r_peak,r_snr = .1915979 25.75839 1246 .313 3446 .250 25.75840 .004355 .031676 -.003035 r_peak,r_snr = .2780373 7.51177 1346 -.281 3446 -.219 7.51177 .004384 .027658 .000382 r_peak,r_snr = .2590608 21.18716 1446 .406 3446 .313 21.18717 .004189 .024513 -.004898 r_peak,r_snr = 8.29969E-02 5.95202 1546 -1.938 3446 -7.406 5.95202 .283826 .180005 -.178908 r_peak,r_snr = .130646 13.29459 1646 .344 3446 -.250 13.29460 .009664 .100184 .008829 r_peak,r_snr = .1265158 15.05182 1746 .000 3446 -.313 15.05183 .010635 .152638 -.014015 r_peak,r_snr = .3921409 14.05603 1846 -.031 3446 .250 14.05603 .002595 .012699 .000201 r_peak,r_snr = .2779438 19.21258 1946 -.094 3446 .094 19.21259 .003206 .024477 .000943 r_peak,r_snr = .2523514 26.37425 2046 .031 3446 .125 26.37425 .002840 .022343 -.001521 At line = 3800 Reading in data.... r_peak,r_snr = .1953481 12.86802 146 .094 3846 .406 12.86803 .006500 .022445 -.000488 r_peak,r_snr = 7.84092E-02 8.22321 246 3.719 3846 -1.781 8.22321 .035470 .128308 -.004890 r_peak,r_snr = .3774547 2.4366 346 1.438 3846 6.844 2.43660 .033500 .433620 -.003685 r_peak,r_snr = .1178353 20.78183 446 .188 3846 .031 20.78184 .010137 .026339 -.003587 r_peak,r_snr = .2061442 12.81401 546 .063 3846 -.500 12.81402 .009127 .064397 .004279 r_peak,r_snr = .4417341 3.78407 646 -.031 3846 -.094 3.78407 .004433 .056900 -.002548 r_peak,r_snr = .343683 58.79653 746 .000 3846 -.125 58.79654 .001626 .004808 -.000491 r_peak,r_snr = .124739 17.17476 846 .219 3846 .125 17.17476 .010933 .088432 -.009548 r_peak,r_snr = .1836239 21.24719 946 .188 3846 .344 21.24719 .006488 .037433 -.000895 r_peak,r_snr = .2496973 21.42193 1046 .125 3846 .625 21.42194 .003976 .050452 .001477 r_peak,r_snr = .2476039 7.83718 1146 .188 3846 -.563 7.83718 .008613 .032310 -.004171 r_peak,r_snr = .2839151 18.13072 1246 .031 3846 -.094 18.13073 .002627 .020295 -.000876 r_peak,r_snr = .4381557 13.08638 1346 .063 3846 -.250 13.08639 .001743 .019891 .000795 r_peak,r_snr = .1231434 12.09507 1446 8.938 3846 3.688 12.09507 .020884 .159626 .011268 r_peak,r_snr = 9.60006E-02 12.13731 1546 .250 3846 .969 12.13732 .015566 .169208 -.016882 r_peak,r_snr = .2389149 18.00506 1646 .031 3846 .094 18.00506 .004348 .028724 -.002691 r_peak,r_snr = .1916996 13.09047 1746 -.031 3846 -.438 13.09048 .005782 .074216 -.001217 r_peak,r_snr = .3833194 12.15147 1846 .156 3846 .094 12.15148 .002062 .026341 -.000207 r_peak,r_snr = .3131802 22.61892 1946 -.031 3846 -.281 22.61893 .002452 .013836 -.000324 r_peak,r_snr = .3285881 21.7708 2046 .000 3846 -.219 21.77080 .002085 .026756 -.001004 At line = 4200 Reading in data.... r_peak,r_snr = .4538782 9.45076 146 -.031 4246 -.281 9.45076 .001481 .016203 -.000262 r_peak,r_snr = .2000573 8.26754 246 .094 4246 .063 8.26754 .009987 .027982 .000207 r_peak,r_snr = .1258951 13.45856 346 .031 4246 -.750 13.45856 .020835 .079442 -.012091 r_peak,r_snr = .3768204 2.20196 446 -.969 4246 -2.781 2.20196 .009036 .088764 -.012641 r_peak,r_snr = .3056221 3.51746 546 .063 4246 -1.719 3.51746 .013314 .264424 .011015 r_peak,r_snr = .4427222 2.24941 646 .063 4246 .656 2.24941 .013513 .027846 .004910 r_peak,r_snr = .2858643 12.17158 746 .125 4246 -.219 12.17159 .003354 .009945 .000267 r_peak,r_snr = .3194687 3.17958 846 .375 4246 .000 3.17958 .013054 .097663 -.017305 r_peak,r_snr = .1066352 10.2646 946 3.594 4246 -11.875 10.26461 .045824 .237388 -.043050 r_peak,r_snr = .1279273 14.05982 1046 .094 4246 .125 14.05983 .008469 .028123 -.002113 r_peak,r_snr = .3809882 7.41492 1146 .125 4246 .188 7.41492 .002874 .010697 -.000953 r_peak,r_snr = .331342 14.92501 1246 .125 4246 .031 14.92502 .003669 .017781 -.002243 r_peak,r_snr = .3093568 9.18227 1346 -.156 4246 .344 9.18227 .004600 .030480 -.000628 r_peak,r_snr = .1072543 15.32875 1446 -.563 4246 -2.844 15.32876 .011281 .078767 -.010570 r_peak,r_snr = .2442982 14.42944 1546 .188 4246 .063 14.42944 .004440 .073978 -.002007 r_peak,r_snr = .4355721 15.93566 1646 -.094 4246 .406 15.93566 .001456 .019635 .000515 r_peak,r_snr = .1247172 16.70038 1746 .188 4246 -.125 16.70039 .015558 .055867 .007251 r_peak,r_snr = .2505731 4.85818 1846 .156 4246 .219 4.85818 .011480 .082329 -.001448 r_peak,r_snr = .2073336 12.9972 1946 -.094 4246 -.625 12.99721 .007133 .016944 -.000042 r_peak,r_snr = .1538409 17.47996 2046 -.063 4246 -.313 17.47996 .009733 .049445 -.004242 At line = 4600 Reading in data.... r_peak,r_snr = .4616777 14.18211 146 .344 4646 .219 14.18211 .001579 .009031 -.000730 r_peak,r_snr = .2170623 19.10562 246 .500 4646 .875 19.10562 .007826 .062222 -.014478 r_peak,r_snr = .1759975 30.48756 346 .094 4646 .094 30.48756 .008240 .026138 -.001410 r_peak,r_snr = .2161963 5.90595 446 .125 4646 .813 5.90595 .022603 .064074 .004229 r_peak,r_snr = .3435816 6.47543 546 .219 4646 .188 6.47543 .006022 .043874 -.004323 r_peak,r_snr = .2164072 37.83654 646 .313 4646 -.188 37.83655 .003902 .013814 -.001611 r_peak,r_snr = .213954 19.88077 746 .250 4646 .188 19.88078 .005558 .014436 -.002947 r_peak,r_snr = .3623576 3.67271 846 .000 4646 -.250 3.67271 .006374 .038113 -.002493 r_peak,r_snr = .2079877 20.52832 1046 -.031 4646 -.063 20.52833 .004577 .030821 -.000733 r_peak,r_snr = .1540958 26.48124 1146 -.031 4646 -.438 26.48124 .005634 .033707 -.005259 r_peak,r_snr = .4931243 16.36828 1246 -.094 4646 -.219 16.36829 .001150 .006630 -.000540 r_peak,r_snr = .4925218 6.99942 1346 .125 4646 .031 6.99942 .002155 .012341 -.000027 r_peak,r_snr = .4039674 11.72631 1446 .094 4646 -.156 11.72632 .001818 .010493 -.000797 r_peak,r_snr = .4289846 13.70504 1546 .031 4646 -.250 13.70504 .001753 .020076 -.000248 r_peak,r_snr = .2973155 3.75366 1646 -.219 4646 -.656 3.75366 .007402 .101972 -.002535 r_peak,r_snr = .237246 5.76775 1846 .000 4646 -10.719 5.76775 .009799 .128890 -.006710 r_peak,r_snr = .1411855 11.35285 1946 .031 4646 .188 11.35286 .013211 .103896 -.011215 r_peak,r_snr = .1974202 13.10245 2046 -.156 4646 .250 13.10245 .004678 .035869 .001390 At line = 5000 Reading in data.... r_peak,r_snr = .2470475 10.38917 146 .000 5046 -4.813 10.38918 .007611 .076099 -.004551 r_peak,r_snr = .2827464 14.00032 246 .250 5046 -.031 14.00033 .003821 .017781 -.000711 r_peak,r_snr = .1793812 10.03516 346 .094 5046 -.875 10.03516 .039103 .159630 .052804 r_peak,r_snr = .1100861 7.10483 446 6.438 5046 6.625 7.10483 .040752 .108860 -.007582 r_peak,r_snr = .137804 7.43252 546 .000 5046 -.625 7.43252 .025326 .249610 -.007970 r_peak,r_snr = .5687359 3.74076 646 .219 5046 -.250 3.74076 .004250 .043840 -.002233 r_peak,r_snr = .1810138 19.68553 746 .031 5046 .250 19.68554 .004585 .040175 -.003823 r_peak,r_snr = .3223854 3.32741 846 .219 5046 -.219 3.32741 .009297 .037852 -.002772 r_peak,r_snr = .1867056 9.46161 946 -.188 5046 -9.469 9.46161 .017767 .180288 .013560 r_peak,r_snr = .1793496 10.84532 1046 .188 5046 .188 10.84533 .005598 .070665 .002535 r_peak,r_snr = .128822 14.66789 1146 .188 5046 -.094 14.66790 .018252 .123467 .010496 r_peak,r_snr = .2939787 8.93129 1246 .406 5046 .125 8.93129 .007333 .031767 -.004442 r_peak,r_snr = .2537004 5.74701 1346 .281 5046 .375 5.74701 .006391 .042667 -.004012 r_peak,r_snr = .3396156 7.78821 1446 .094 5046 .156 7.78821 .003403 .015544 -.000475 r_peak,r_snr = .1836879 13.39344 1546 .094 5046 .156 13.39345 .007045 .093421 .000626 r_peak,r_snr = .241898 4.56836 1646 -.219 5046 .313 4.56836 .012144 .236263 -.012048 r_peak,r_snr = .3302613 3.04213 1746 -1.719 5046 -3.813 3.04213 .010069 .357368 -.027220 r_peak,r_snr = .280014 11.05236 1846 .156 5046 .156 11.05237 .004379 .023768 -.001762 r_peak,r_snr = .2184846 8.45602 1946 -.094 5046 -.563 8.45602 .014999 .236414 -.037616 r_peak,r_snr = .2605752 12.34442 2046 -.125 5046 .375 12.34443 .004493 .027545 .002131 At line = 5400 Reading in data.... r_peak,r_snr = .1480224 9.24271 146 .500 5446 .219 9.24271 .009317 .057960 -.002441 r_peak,r_snr = .1783486 28.65221 246 .094 5446 -.156 28.65221 .004322 .015232 -.000373 r_peak,r_snr = .160399 19.90054 346 -.094 5446 -.094 19.90055 .005838 .023886 -.002183 r_peak,r_snr = .2827022 19.5448 446 -.156 5446 -.281 19.54481 .003638 .023315 -.002298 r_peak,r_snr = .1391931 13.95951 546 .219 5446 -.188 13.95951 .008845 .045708 -.002720 r_peak,r_snr = .5207142 2.06915 646 -.313 5446 -.156 2.06915 .005469 .028058 -.005832 r_peak,r_snr = .3850062 3.4418 746 .094 5446 -.250 3.44180 .004968 .051064 -.000599 r_peak,r_snr = .3179386 3.50686 846 .156 5446 .469 3.50686 .007602 .037306 -.004283 r_peak,r_snr = .1688555 9.94249 946 -.219 5446 .750 9.94249 .009616 .504551 .015781 r_peak,r_snr = .1922072 16.72724 1046 .000 5446 -.250 16.72725 .005855 .036731 -.003502 r_peak,r_snr = .1700665 29.0854 1146 .031 5446 .344 29.08541 .006586 .032242 -.002898 r_peak,r_snr = .1604619 13.98237 1246 -.156 5446 -.281 13.98237 .012851 .096650 -.003515 r_peak,r_snr = .2146442 26.43866 1346 -.156 5446 -.719 26.43866 .004671 .021363 -.000885 r_peak,r_snr = .1782666 10.0843 1446 .344 5446 -.125 10.08431 .016917 .120900 .014520 r_peak,r_snr = .1751161 7.89145 1546 -.438 5446 -.313 7.89145 .020960 .096277 -.016115 r_peak,r_snr = .3632999 9.48705 1646 -.156 5446 6.281 9.48705 .002761 .087867 -.000378 r_peak,r_snr = .2553984 19.35095 1746 .281 5446 .281 19.35096 .003294 .022856 -.000685 r_peak,r_snr = .3009345 25.83309 1846 .063 5446 .250 25.83310 .002314 .015751 -.000350 r_peak,r_snr = .3833132 26.36098 1946 .156 5446 -.156 26.36098 .001868 .005975 -.000242 r_peak,r_snr = .1486119 20.11903 2046 -.125 5446 1.344 20.11903 .008053 .118392 .002722 At line = 5800 Reading in data.... r_peak,r_snr = .1602063 11.70864 146 -.250 5846 .813 11.70864 .011210 .209701 .001768 r_peak,r_snr = .2590151 4.35512 246 .250 5846 .250 4.35512 .006229 .027238 -.002133 r_peak,r_snr = .1782825 20.59417 346 -.125 5846 .000 20.59418 .010359 .043823 -.010815 r_peak,r_snr = .1335707 7.29319 446 .094 5846 -.781 7.29319 .032738 1.789267 -.000521 r_peak,r_snr = .1485148 5.16603 546 -.250 5846 5.188 5.16603 .550202 .804426 .550180 r_peak,r_snr = .1888939 21.59415 646 -.094 5846 .281 21.59415 .005205 .028120 -.000545 r_peak,r_snr = .1382227 15.51802 746 -.406 5846 .969 15.51803 .009929 .100260 .008134 r_peak,r_snr = .3105769 5.11587 846 .031 5846 .625 5.11587 .007509 .106702 -.008374 r_peak,r_snr = .1229113 12.8347 946 -.156 5846 .906 12.83470 .012718 .231618 -.018988 r_peak,r_snr = .2734092 24.69267 1046 -.063 5846 -.375 24.69267 .002907 .033837 .001508 r_peak,r_snr = .1172099 7.20073 1146 .531 5846 1.844 7.20073 .031848 1.027904 -.047403 r_peak,r_snr = 8.74812E-02 8.69016 1246 3.500 5846 3.281 8.69016 .016094 .243083 -.011804 r_peak,r_snr = .2379758 16.04054 1346 -.094 5846 -.313 16.04055 .005225 .097540 -.004394 r_peak,r_snr = .127918 12.04641 1446 .031 5846 -.094 12.04641 .010235 .039322 .001913 r_peak,r_snr = .3582946 4.35454 1546 -.250 5846 .250 4.35454 .014224 .070265 -.015522 r_peak,r_snr = .2745652 7.58223 1646 .125 5846 -.281 7.58223 .006425 .072328 -.007461 r_peak,r_snr = .3717148 11.64328 1746 -.031 5846 .188 11.64329 .002113 .020081 -.000090 r_peak,r_snr = .2904841 7.79698 1846 .156 5846 -.219 7.79698 .006855 .028211 -.003536 r_peak,r_snr = .1354758 12.76637 1946 .219 5846 -1.750 12.76638 .014221 .149420 .009023 r_peak,r_snr = .1657781 22.24924 2046 .125 5846 -.125 22.24925 .005890 .037649 -.000307 ************************************************* ***** Integrated AIRSAR Processor ***** ***** ***** ***** Radiometric Calibration Program ***** ***** ***** ************************************************* ***** ***** ***** This program performs the following ***** ***** calibrations: ***** ***** ***** ***** (1) Phase calibration ***** ***** (2) Cross-talk removal ***** ***** (3) Antenna pattern removal ***** ***** (4) Scattering area removal ***** ***** ***** ***** If available, the topography is used ***** ***** when removing antenna patterns and ***** ***** scattering areas. In all cases, the ***** ***** aircraft roll is taken into account ***** ***** when the antenna pattern is removed. ***** ***** ***** ************************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of the calibration file. 8 scanning calib for 92001 to 92999 block= 1 94050 12.00 6.00 12.00 0.79 0.24 -1.44 138.01 127.69 0.00 83.47 77.13 0.00 7.94 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 138.01 127.69 0.00 83.47 77.13 0.00 -53.66 0.00 0.00 0.00 83.15 scanning calib for 93001 to 93999 block= 2 94050 12.00 6.00 12.00 0.79 0.24 -1.44 132.537 1 122.870 1 78.937 87.40 81.00 94.30 -0.64 1 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 135.228 1 121.395 1 80.237 84.80 76.10 90.50 56.25 0.00 0.00 0.00 75.574 scanning calib for 94001 to 94999 block= 3 94050 FOUND CALIB SET 94050 6.0 6.0 6.0 6.0 12.00 0.79 .2399999 .0 .2399999 .0 -1.44 132.945 1 125.236 125.5319 125.236 125.5319 84.352 87.90 82.69999 82.3 82.8 83.19999 95.30 139.46 -77.87 70.382 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: -8.3 -213.696 -213.832 -213.796 -214.732 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: -8.30 deg Receiver phase difference is -140.50 deg Transmitter phase difference is -148.80 deg Cable phase difference is -77.87 deg Reading data to estimate cross-talk. 256 512 768 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 Enter number of set to convert: Enter the cband filename: Enter the output filename: Reading new header..STARTING at 0 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 Mon May 4 22:57:10 PDT 1998 Mon May 4 22:57:10 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 19:46:48 IDR=175050 FC=3,090,870 drft 5.3; still quite cal m; AFC shows strong C-band image, signals look good; Sony-B is p erforming extremely well; 6 SVs, looking good no photo; AFC has good image, loss of signal in far rangeWilliam Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94050 94050 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5279 prod ID1:*5279*5279* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94050 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.40 4 5 20 25 16 24 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 4 5 20 25 16 24 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171561666.3250 -171561617.3580 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 lati 53.92954 53.88468 53.97446 .0258754 0 loni -104.57729 -104.60323 -104.55139 .0149339 0 latd 53.93213 53.88667 53.97667 .0259689 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8133.52979 8137.93994 .9055493 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171561666.324414 -171561666.325 GPS trend coefficients = .7098400378532211 -1.12831860781332 -.433381438308106 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000006 0 va -.01622 -.16663 .10831 .0407871 0 ca -.00262 -.09998 .07974 .0238602 0 aa -.02407 -.07855 .01071 .0164913 0 hdg -17.50209 -17.59460 -17.44080 .0459086 0 trc -18.81946 -18.91296 -18.77014 .0332269 0 tgs 215.13908 215.03732 215.35885 .1042243 0 roll -1.30851 -1.46667 -1.17554 .0729759 0 pitch .37533 .32959 .47791 .0350898 0 delx .25720 .25714 .25722 .0000159 0 lati 53.92954 53.88502 53.97411 .0258735 0 loni -104.57729 -104.60306 -104.55173 .0149325 0 latd 53.93213 53.88833 53.97667 .0259645 0 lond -104.56729 -104.59333 -104.54167 .0151554 0 balt 7960.03012 7957.71840 7961.37600 .8612153 0 ralt 7738.16286 7728.81360 7744.66320 4.8520129 0 dpth .22219 .00000 .30000 .0551268 0 droll -1.31156 -1.50000 -1.20000 .0895687 0 thd 342.77375 342.70000 342.90000 .0569951 0 dad -1.76984 -1.90000 -1.70000 .0584699 0 latg 53.93825 53.89328 53.98300 .0258962 0 long -104.56585 -104.59184 -104.53979 .0150125 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8135.31141 8134.19374 8137.24072 .7845752 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00101 -.14701 .12845 .0385394 0 ca -.00194 -.07870 .07990 .0236201 0 aa -.02390 -.07870 .01073 .0166425 0 Average Barometric Altitude = 7960.03011750001 Average Radar Altitude = 7738.162863749986 Average GPS Altitude = 8135.311413574211 >>Record # : 64 >>GPS Stuff = 2.40 4 5 20 25 1 >>Record # : 40960 >>GPS Stuff = 2.30 4 5 20 25 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.222556321110459E-04 Standard deviation of difference = 2.888139101656679E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9152718 -104.5525436 8134.242 End position = 53.9610405 -104.5790634 8136.083 Loxodromic Heading (deg) = -18.8746681 Loxodromic Distance (km) = 5383.7279808 Geodesic Heading (deg) = -18.8639520 Geodesic Distance (km) = 5383.7279227 Peg latitude and longitude = 53.9390755 -104.5663300 Peg heading = -18.8731285 Rotation matrix First row = -.148044637 -.120695890 -.981588146 Second row = -.569724431 .821696898 -.015108976 Third row = .808391525 .556997945 -.190411216 Translation vector Vector = -1974.54077 -7598.68199 -23810.28891 Local Radius of Curvature = 6378796.871385548 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2584920062498386 Delta s on reference surface = .2584920075067438 Making fits... Vertical fit coefficients = 8137.172503012387 -.312584144286802 2.810927100307836E-03 Cross track fit coefficients = -1.64586161974259 .2074132046879417 -8.194418704394591E-04 Along track fit coefficients = -5374.05224424683 215.9775614947665 2.280577542878248E-03 Miscellaneous Information Start range = 8304.25225 Start ground range = 3013.542919175147 Time orgin = -171561666.324414 Pulse spacing = .2572018616529277 First frame = 3730445 Thank you for your patronage Enter the name of the motion compensation file. Name of the H-pol motion compensation file? Name of the V-pol motion compensation file? How many lines per polarization? ********************************************* * * * AIRSAR INTEGRATED PROCESSOR * * * * CALTONE ESTIMATOR * * * * This program estimates the CALTONE amp- * * litude and phase and writes the result * * into the parameter header. * * * ********************************************* Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PHH Enter the paramater file name. /data3/airops/cm5279_p.par Enter the raw data file name. /data2/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5279_p.mocomph Enter a file name for the range spectrum: /data2/airops/db_p_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-111.206,.0) (-166.809,.0) (-63.5463,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 112798.5 Pulse#/64: 65 1073 240752.7 Pulse#/64: 129 1073 163508.2 Pulse#/64: 193 1073 76743.56 Pulse#/64: 257 1073 182172.7 Estimate Caltone : 1160 -----CalTone Estimate Position --- CalTone Bin at : 1160 1073 CalTone Bin offset : -87 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.41522Power RMS: 3.27223 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 397.9717Amp. RMS: 146.1807 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 4.53515Phase RMS: 219.7356 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.11607 CalTone Power Coherently dB : 51.41522 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.11607 Incoherent PW - Coherent PW : 35.70085 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22587.73 CalTone Amplitude Coherently : 397.9717 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22189.75 ------------ *** ------------ running time (sec): 69.80 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PHV Enter the paramater file name. /data3/airops/cm5279_p.par Enter the raw data file name. /data2/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5279_p.mocompv Enter a file name for the range spectrum: /data2/airops/db_p_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-159.243,.0) (67.67822,.0) (55.735,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 262932.5 Pulse#/64: 65 1073 205777.6 Pulse#/64: 129 1073 144382.0 Pulse#/64: 193 1073 214872.6 Pulse#/64: 257 1073 208924.9 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.50752Power RMS: 1.83033 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 485.4073Amp. RMS: 127.5824 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 82.58357Phase RMS: 239.2706 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.31041 CalTone Power Coherently dB : 53.50752 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.31041 Incoherent PW - Coherent PW : 35.80289 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 29233.14 CalTone Amplitude Coherently : 485.4073 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28747.73 ------------ *** ------------ running time (sec): 65.96 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PVH Enter the paramater file name. /data3/airops/cm5279_p.par Enter the raw data file name. /data2/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5279_p.mocomph Enter a file name for the range spectrum: /data2/airops/db_p_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-103.508,.0) (123.4132,.0) (-7.96214,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 177629.2 Pulse#/64: 65 1073 73022.91 Pulse#/64: 129 1073 143862.7 Pulse#/64: 193 1073 161147.4 Pulse#/64: 257 1073 114968.4 Estimate Caltone : 1156 -----CalTone Estimate Position --- CalTone Bin at : 1156 1073 CalTone Bin offset : -83 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.98347Power RMS: 1.0972 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 356.973Amp. RMS: 45.36251 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 74.63423Phase RMS: 223.6133 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.16744 CalTone Power Coherently dB : 50.98347 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.16744 Incoherent PW - Coherent PW : 36.18397 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22874.54 CalTone Amplitude Coherently : 356.973 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22517.57 ------------ *** ------------ running time (sec): 66.86 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PVV Enter the paramater file name. /data3/airops/cm5279_p.par Enter the raw data file name. /data2/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5279_p.mocompv Enter a file name for the range spectrum: /data2/airops/db_p_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-39.7164,.0) (-174.752,.0) (31.77313,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 196941.1 Pulse#/64: 65 1073 261811.3 Pulse#/64: 129 1073 137090.5 Pulse#/64: 193 1073 122996.9 Pulse#/64: 257 1073 238982.7 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.21345Power RMS: 2.22293 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 473.2791Amp. RMS: 130.4501 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 31.85223Phase RMS: 240.0265 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.33288 CalTone Power Coherently dB : 53.21345 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.33288 Incoherent PW - Coherent PW : 36.11943 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 29282.46 CalTone Amplitude Coherently : 473.2791 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28809.18 ------------ *** ------------ running time (sec): 67.42 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.13313 5.07206E-05 z fit: constant and linear terms: -1.86158 1.19075E-08 y and z standard deviations (meters) .2228771 .7452831 Enter the name of the global line file. Enter the name of the motion compensation file. Enter the number of lines in the mocomp file & first one. Enter the patch size and the max reference fnc length. Enter the maximum Doppler error. Enter the doppler file name. Enter the wavelength and nominal azimuth pixel spacing Initial guess at number of patches = 4 Step size = 3492 PATCH NUMER 1 First line = 1 Averages = 2.22862E-02 2.31918E-02 2.31974E-02 2.18777E-02 Differences = -3.52068E-04 5.53560E-04 5.59075E-04 -7.60578E-04 PATCH NUMER 2 First line = 3493 Averages = 2.34265E-02 2.22697E-02 2.12203E-02 2.11654E-02 Differences = 1.40599E-03 2.49183E-04 -8.00140E-04 -8.55066E-04 PATCH NUMER 3 First line = 6985 Averages = 2.14454E-02 2.11733E-02 2.14052E-02 2.22402E-02 Differences = -1.20640E-04 -3.92677E-04 -1.60847E-04 6.74166E-04 PATCH NUMER 4 First line = 10477 Averages = 2.12769E-02 2.19921E-02 2.25168E-02 2.25254E-02 Differences = -8.00911E-04 -8.57171E-05 4.39001E-04 4.47616E-04 PATCH NUMER 5 First line = 13969 Averages = 2.24786E-02 2.23920E-02 2.30918E-02 2.38950E-02 Differences = -4.85726E-04 -5.72361E-04 1.27498E-04 9.30604E-04 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5279_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_hh Name of the mocomp data file? /data3/airops/cm5279_p.mocomph Output file name? /data3/airops/cm5279_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ph xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.356 Processing 5 blocks Processing block number 1 reference line: 4096 2.356 seconds. Range compression done, time = 121.152 Motion comp. coeff. calculated, time = 121.209 Motion comp. added to patch, time = 212.457 Doppler estimation done, time = 212.457 Azimuth compression starting, time : 212.606 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 593.388 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 614.584 seconds. Range compression done, time = 720.633 Motion comp. coeff. calculated, time = 720.673 Motion comp. added to patch, time = 796.444 Doppler estimation done, time = 796.444 Azimuth compression starting, time : 796.560 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1202.665 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1222.472 seconds. Range compression done, time = 1328.140 Motion comp. coeff. calculated, time = 1328.365 Motion comp. added to patch, time = 1404.488 Doppler estimation done, time = 1404.488 Azimuth compression starting, time : 1404.617 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1815.219 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1835.628 seconds. Range compression done, time = 1941.427 Motion comp. coeff. calculated, time = 1941.618 Motion comp. added to patch, time = 2017.529 Doppler estimation done, time = 2017.529 Azimuth compression starting, time : 2017.661 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2431.415 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2451.711 seconds. Range compression done, time = 2556.773 Motion comp. coeff. calculated, time = 2556.910 Motion comp. added to patch, time = 2632.769 Doppler estimation done, time = 2632.769 Azimuth compression starting, time : 2632.888 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3047.804 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_p.hh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_p.hh Name of the doppler parameter file? /data3/airops/cm5279_p.dop Name of the deskew file? /data3/airops/deskew.ph Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5279_p.hh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5279_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_hv Name of the mocomp data file? /data3/airops/cm5279_p.mocomph Output file name? /data3/airops/cm5279_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ph xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.345 Processing 5 blocks Processing block number 1 reference line: 4096 2.345 seconds. Range compression done, time = 112.443 Motion comp. coeff. calculated, time = 112.484 Motion comp. added to patch, time = 191.351 Doppler estimation done, time = 191.352 Azimuth compression starting, time : 191.470 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 569.687 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 590.714 seconds. Range compression done, time = 697.011 Motion comp. coeff. calculated, time = 697.051 Motion comp. added to patch, time = 773.167 Doppler estimation done, time = 773.168 Azimuth compression starting, time : 773.293 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1158.053 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1174.286 seconds. Range compression done, time = 1284.308 Motion comp. coeff. calculated, time = 1284.567 Motion comp. added to patch, time = 1380.333 Doppler estimation done, time = 1380.333 Azimuth compression starting, time : 1380.469 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1762.849 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1783.816 seconds. Range compression done, time = 1889.917 Motion comp. coeff. calculated, time = 1890.071 Motion comp. added to patch, time = 1966.618 Doppler estimation done, time = 1966.618 Azimuth compression starting, time : 1966.750 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2345.982 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2366.312 seconds. Range compression done, time = 2471.876 Motion comp. coeff. calculated, time = 2472.006 Motion comp. added to patch, time = 2547.682 Doppler estimation done, time = 2547.682 Azimuth compression starting, time : 2547.801 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2926.310 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_p.hv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_p.hv Name of the doppler parameter file? /data3/airops/cm5279_p.dop Name of the deskew file? /data3/airops/deskew.ph Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5279_p.hv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5279_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_vh Name of the mocomp data file? /data3/airops/cm5279_p.mocompv Output file name? /data3/airops/cm5279_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.pv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.312 Processing 5 blocks Processing block number 1 reference line: 4096 2.312 seconds. Range compression done, time = 113.280 Motion comp. coeff. calculated, time = 113.320 Motion comp. added to patch, time = 192.218 Doppler estimation done, time = 192.218 Azimuth compression starting, time : 192.336 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 570.138 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.184 seconds. Range compression done, time = 697.160 Motion comp. coeff. calculated, time = 697.200 Motion comp. added to patch, time = 776.416 Doppler estimation done, time = 776.416 Azimuth compression starting, time : 776.541 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1154.055 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1170.635 seconds. Range compression done, time = 1278.008 Motion comp. coeff. calculated, time = 1278.263 Motion comp. added to patch, time = 1367.579 Doppler estimation done, time = 1367.579 Azimuth compression starting, time : 1367.719 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1745.247 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1765.695 seconds. Range compression done, time = 1872.255 Motion comp. coeff. calculated, time = 1872.441 Motion comp. added to patch, time = 1948.388 Doppler estimation done, time = 1948.389 Azimuth compression starting, time : 1948.528 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2326.867 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2347.261 seconds. Range compression done, time = 2452.556 Motion comp. coeff. calculated, time = 2452.724 Motion comp. added to patch, time = 2528.924 Doppler estimation done, time = 2528.924 Azimuth compression starting, time : 2529.052 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2906.347 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_p.vh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_p.vh Name of the doppler parameter file? /data3/airops/cm5279_p.dop Name of the deskew file? /data3/airops/deskew.pv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5279_p.vh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5279_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 399.0 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_vv Name of the mocomp data file? /data3/airops/cm5279_p.mocompv Output file name? /data3/airops/cm5279_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.pv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.373 Processing 5 blocks Processing block number 1 reference line: 4096 2.374 seconds. Range compression done, time = 112.643 Motion comp. coeff. calculated, time = 112.683 Motion comp. added to patch, time = 191.805 Doppler estimation done, time = 191.805 Azimuth compression starting, time : 191.923 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 569.836 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.230 seconds. Range compression done, time = 696.950 Motion comp. coeff. calculated, time = 697.005 Motion comp. added to patch, time = 773.848 Doppler estimation done, time = 773.848 Azimuth compression starting, time : 773.977 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1152.344 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1169.546 seconds. Range compression done, time = 1276.110 Motion comp. coeff. calculated, time = 1276.346 Motion comp. added to patch, time = 1353.211 Doppler estimation done, time = 1353.211 Azimuth compression starting, time : 1353.340 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1731.400 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1752.185 seconds. Range compression done, time = 1858.953 Motion comp. coeff. calculated, time = 1859.135 Motion comp. added to patch, time = 1934.904 Doppler estimation done, time = 1934.904 Azimuth compression starting, time : 1935.035 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2314.282 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2334.326 seconds. Range compression done, time = 2439.694 Motion comp. coeff. calculated, time = 2439.860 Motion comp. added to patch, time = 2516.049 Doppler estimation done, time = 2516.049 Azimuth compression starting, time : 2516.168 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2895.493 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5279_p.vv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5279_p.vv Name of the doppler parameter file? /data3/airops/cm5279_p.dop Name of the deskew file? /data3/airops/deskew.pv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5279_p.vv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1060 1061 3157 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3156 Processing block number 2 3157 4550 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8035 -7 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8034 8035 10131 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10130 Processing block number 4 10131 11529 2 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11528 11529 13625 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13624 Processing block number 5 1337 1063 11 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13624 1337 3159 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15446 Writing the last 2808 lines Total # of output lines = 18254 Writing new header.. Closing files .. Enter single look lines filename: Enter single look image filename: Enter output lines filename: Enter number of looks: Multi-looking lines.dat file... Total number of lines written to output file: 1014 *************************************** ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Multi-look Program ***** ***** ***** *************************************** Enter the name of the Shh input file. Enter the name of the complex HV file. Enter the name of the complex VH file. Enter the name of the complex VV file. Calculating the ratio of HV and VH.... Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the name of the file. Enter the number of looks in azimuth. writing parhead writing parhead 0 writing parhead 94050 writing parheadP writing parhead 20.0 writing parhead 89.3 writing parhead 87.19999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01813 27.63659 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .001 .017 .310 .660 .835 .490 .096 .000 .001 .001 .011 .308 .699 .873 .503 .115 .001 .001 .000 .012 .307 .717 .924 .529 .138 .002 .001 .000 .020 .314 .710 .974 .565 .164 .006 .000 .003 .037 .334 .674 1.000 .607 .184 .015 .002 .007 .064 .360 .614 .983 .636 .192 .026 .008 .012 .094 .383 .544 .915 .631 .183 .032 .010 .013 .114 .389 .479 .807 .580 .156 .028 .007 .011 .116 .375 .434 .689 .490 .115 .015 .002 r_peak,r_snr = .2627454 8.04702 Correlation Surface of oversamples image at 146 3046 .044 .225 .541 .860 .972 .770 .441 .195 .055 .033 .202 .520 .852 .977 .779 .452 .208 .065 .027 .190 .510 .852 .988 .793 .467 .224 .077 .026 .185 .505 .853 .998 .807 .481 .240 .090 .026 .182 .497 .845 1.000 .815 .491 .254 .103 .030 .182 .487 .832 .996 .821 .500 .266 .116 .038 .187 .480 .817 .991 .828 .511 .280 .132 .049 .195 .471 .794 .979 .833 .521 .293 .150 .061 .199 .450 .754 .948 .822 .522 .302 .165 146 -.031 3046 -2.781 8.04702 .020955 2.449388 -.168102 Correlation Surface at 246 3046 .021 .042 .353 .747 .709 .761 .646 .431 .361 .007 .024 .371 .850 .815 .816 .677 .464 .381 .001 .014 .392 .928 .921 .890 .710 .469 .395 .000 .009 .404 .954 .992 .951 .738 .456 .408 .001 .007 .397 .911 1.000 .970 .754 .444 .422 .005 .004 .364 .811 .953 .939 .750 .448 .434 .012 .001 .307 .686 .883 .882 .731 .481 .447 .026 .000 .240 .561 .817 .829 .714 .553 .466 .042 .001 .179 .456 .764 .798 .727 .661 .489 r_peak,r_snr = .2526454 4.34987 Correlation Surface of oversamples image at 246 3046 .018 .194 .517 .801 .850 .704 .556 .470 .396 .023 .223 .571 .866 .908 .740 .574 .484 .412 .030 .257 .623 .919 .953 .767 .588 .497 .428 .042 .297 .675 .963 .985 .788 .601 .512 .446 .057 .338 .719 .989 1.000 .800 .612 .525 .462 .071 .369 .744 .991 .994 .800 .615 .532 .468 .082 .389 .749 .971 .971 .791 .615 .533 .468 .091 .402 .744 .942 .944 .785 .620 .537 .467 .094 .402 .723 .900 .910 .777 .625 .538 .462 246 -1.750 3046 9.188 4.34987 .630916 2.313423 -.886838 Correlation Surface at 346 3046 .100 .275 .259 .477 .301 .181 .158 .106 .005 .071 .284 .294 .587 .477 .262 .147 .089 .002 .033 .240 .276 .651 .689 .359 .131 .053 .002 .006 .161 .222 .661 .885 .451 .121 .021 .006 .000 .085 .165 .620 1.000 .525 .126 .005 .017 .006 .035 .124 .543 .996 .574 .150 .002 .029 .009 .014 .105 .455 .887 .598 .195 .006 .027 .003 .010 .101 .373 .715 .605 .257 .027 .009 .001 .018 .107 .303 .536 .600 .322 .086 .002 r_peak,r_snr = .1642536 7.99591 Correlation Surface of oversamples image at 346 3046 .268 .397 .630 .797 .688 .435 .283 .220 .128 .255 .397 .666 .887 .795 .509 .321 .236 .128 .243 .392 .687 .957 .893 .586 .367 .260 .136 .231 .380 .685 .993 .966 .655 .412 .286 .147 .222 .362 .659 .986 1.000 .704 .450 .309 .159 .221 .346 .617 .942 .997 .735 .482 .331 .174 .225 .328 .560 .863 .955 .742 .505 .351 .192 .224 .300 .480 .743 .862 .709 .502 .355 .204 .216 .266 .389 .599 .731 .636 .469 .340 .207 346 -.750 3046 -6.125 7.99591 .026815 .990950 -.092049 Correlation Surface at 446 3046 .022 .016 .001 .026 .185 .020 .010 .121 .065 .039 .004 .002 .069 .407 .106 .023 .141 .078 .043 .000 .013 .136 .681 .274 .053 .138 .084 .031 .000 .022 .201 .906 .479 .108 .108 .076 .016 .000 .018 .231 1.000 .657 .192 .067 .053 .007 .002 .006 .217 .955 .783 .296 .034 .025 .004 .011 .000 .174 .822 .860 .396 .018 .007 .004 .036 .009 .125 .667 .908 .473 .018 .001 .003 .075 .035 .081 .523 .925 .530 .040 .001 r_peak,r_snr = .1455755 7.66749 Correlation Surface of oversamples image at 446 3046 .007 .000 .061 .372 .650 .466 .148 .023 .011 .002 .002 .091 .459 .782 .584 .220 .052 .022 .001 .006 .118 .529 .889 .689 .296 .091 .037 .000 .008 .136 .575 .961 .775 .376 .141 .055 .001 .008 .143 .594 1.000 .845 .460 .203 .080 .004 .005 .136 .581 .999 .891 .541 .273 .109 .012 .001 .113 .527 .944 .896 .604 .338 .136 .031 .001 .079 .444 .847 .865 .646 .397 .161 .060 .008 .048 .357 .739 .825 .686 .461 .194 446 9.125 3046 -9.156 7.66749 .016737 .950698 -.064302 Correlation Surface at 546 3046 .188 .238 .362 .683 .990 .694 .531 .324 .202 .182 .219 .364 .705 .998 .688 .497 .336 .220 .157 .191 .359 .716 .999 .698 .480 .355 .245 .125 .161 .349 .714 1.000 .733 .484 .380 .276 .095 .134 .338 .703 1.000 .792 .507 .411 .313 .077 .114 .328 .687 .996 .864 .539 .441 .349 .070 .102 .319 .669 .981 .927 .566 .460 .374 .072 .096 .307 .650 .946 .957 .577 .458 .384 .080 .093 .289 .624 .881 .937 .569 .436 .381 r_peak,r_snr = .3840835 4.0273 Correlation Surface of oversamples image at 546 3046 .304 .468 .667 .872 .967 .871 .676 .517 .422 .298 .467 .667 .872 .977 .896 .703 .536 .435 .291 .465 .666 .869 .985 .921 .731 .554 .446 .287 .465 .667 .869 .994 .949 .763 .577 .459 .284 .466 .669 .868 1.000 .974 .795 .598 .471 .277 .460 .660 .854 .989 .981 .813 .611 .475 .266 .447 .641 .827 .964 .976 .823 .617 .474 .262 .442 .632 .812 .950 .980 .844 .635 .481 546 -.813 3046 -.188 4.02730 98.776230 ********** ********** Correlation Surface at 646 3046 .528 .568 .673 .838 .915 .914 .840 .769 .648 .514 .578 .699 .866 .945 .943 .839 .771 .667 .500 .589 .720 .889 .972 .969 .852 .766 .679 .487 .596 .734 .905 .992 .985 .879 .765 .688 .471 .591 .736 .910 1.000 .989 .910 .771 .698 .448 .570 .724 .896 .991 .978 .932 .781 .709 .418 .534 .697 .861 .962 .954 .937 .786 .719 .384 .494 .664 .809 .919 .922 .924 .784 .728 .354 .462 .635 .746 .868 .891 .900 .774 .736 r_peak,r_snr = .4972548 2.12439 Correlation Surface of oversamples image at 646 3046 .667 .754 .856 .944 .978 .972 .956 .922 .874 .675 .763 .864 .953 .987 .978 .963 .935 .891 .683 .770 .870 .959 .992 .980 .965 .945 .906 .692 .778 .876 .965 .998 .982 .968 .956 .925 .697 .782 .878 .967 1.000 .983 .968 .963 .942 .694 .778 .871 .958 .992 .973 .960 .962 .950 .682 .767 .856 .941 .976 .958 .946 .954 .952 .669 .755 .840 .923 .960 .946 .935 .947 .954 .652 .740 .821 .901 .942 .932 .924 .940 .953 646 -1.344 3046 .906 2.12439 .056994 1.712472 -.010158 Correlation Surface at 746 3046 .017 .007 .396 .608 .180 .063 .024 .669 .526 .021 .014 .347 .655 .376 .183 .019 .834 .709 .009 .029 .241 .624 .638 .386 .008 .940 .894 .000 .050 .134 .526 .880 .591 .001 .937 1.004 .006 .064 .058 .381 1.000 .692 .000 .813 .969 .018 .060 .019 .226 .900 .628 .000 .595 .787 .018 .035 .005 .103 .600 .434 .000 .357 .535 .005 .007 .003 .031 .257 .221 .000 .171 .306 .002 .002 .006 .003 .041 .074 .001 .062 .149 r_peak,r_snr = .1055752 6.77986 Correlation Surface of oversamples image at 746 3046 .449 .652 .700 .685 .681 .652 .435 .063 .113 .397 .640 .752 .785 .786 .728 .468 .069 .111 .335 .606 .777 .864 .877 .787 .485 .072 .107 .275 .559 .782 .925 .958 .839 .500 .076 .094 .211 .491 .748 .940 1.000 .864 .500 .078 .079 .142 .392 .657 .882 .972 .834 .469 .072 .069 .081 .283 .528 .763 .880 .757 .413 .060 .061 .043 .194 .403 .630 .769 .672 .365 .054 .046 .019 .121 .280 .476 .625 .567 .310 .048 .032 746 -.563 3046 -1.938 6.77986 .054179 .847853 -.124211 Correlation Surface at 846 3046 .049 .035 .000 .208 .492 .157 .000 .001 .010 .041 .033 .003 .280 .634 .231 .001 .001 .010 .030 .028 .012 .379 .790 .316 .004 .002 .015 .020 .020 .030 .485 .928 .390 .009 .000 .029 .012 .013 .048 .565 1.000 .417 .016 .002 .061 .008 .008 .058 .608 .977 .386 .021 .014 .115 .006 .004 .058 .617 .871 .313 .022 .035 .176 .006 .002 .054 .603 .736 .236 .020 .047 .202 .007 .000 .054 .578 .606 .180 .017 .037 .167 r_peak,r_snr = .2149689 10.68618 Correlation Surface of oversamples image at 846 3046 .000 .048 .245 .579 .800 .681 .382 .151 .041 .002 .072 .291 .640 .873 .740 .411 .161 .046 .007 .098 .335 .693 .932 .786 .428 .164 .048 .012 .124 .379 .739 .978 .820 .440 .165 .049 .018 .146 .413 .770 1.000 .832 .440 .161 .049 .020 .158 .429 .773 .983 .810 .420 .149 .045 .020 .162 .433 .755 .935 .760 .387 .133 .040 .020 .166 .436 .734 .878 .703 .356 .120 .037 .020 .168 .436 .705 .811 .639 .324 .110 .034 846 .063 3046 3.031 10.68619 .008578 .766899 .029530 Correlation Surface at 946 3046 .126 .020 .058 .467 .535 .517 .495 .275 .340 .111 .021 .065 .609 .701 .513 .381 .204 .303 .082 .022 .070 .744 .860 .483 .276 .150 .258 .049 .022 .068 .814 .975 .445 .200 .117 .221 .023 .018 .054 .769 1.000 .423 .166 .106 .198 .007 .014 .031 .605 .906 .422 .173 .117 .192 .001 .010 .012 .385 .712 .432 .212 .149 .200 .000 .007 .002 .190 .479 .434 .268 .193 .222 .001 .006 .000 .067 .274 .414 .318 .236 .248 r_peak,r_snr = .1940029 7.27456 Correlation Surface of oversamples image at 946 3046 .000 .012 .134 .457 .774 .721 .443 .261 .210 .000 .012 .148 .509 .854 .793 .481 .268 .191 .000 .012 .160 .554 .925 .858 .520 .275 .176 .001 .011 .167 .587 .978 .912 .556 .287 .167 .001 .010 .167 .598 1.000 .945 .588 .305 .170 .001 .008 .157 .583 .987 .952 .613 .328 .183 .002 .005 .138 .540 .936 .930 .626 .350 .200 .004 .002 .113 .477 .854 .881 .625 .370 .220 .006 .000 .089 .408 .759 .818 .616 .391 .249 946 -2.313 3046 3.719 7.27456 .016240 .632482 -.040187 Correlation Surface at 1046 3046 .107 .293 .465 .495 .758 .883 .488 .501 .512 .148 .355 .544 .571 .865 .937 .443 .481 .524 .209 .441 .635 .664 .939 .917 .385 .447 .518 .280 .522 .708 .753 .986 .864 .338 .411 .488 .351 .568 .732 .807 1.000 .810 .314 .384 .440 .409 .566 .692 .792 .965 .759 .317 .365 .381 .445 .531 .609 .708 .875 .700 .339 .348 .316 .459 .487 .524 .597 .752 .631 .367 .330 .254 .456 .454 .466 .497 .627 .563 .390 .309 .199 r_peak,r_snr = .2250669 4.00659 Correlation Surface of oversamples image at 1046 3046 .711 .530 .511 .651 .844 .890 .681 .429 .337 .720 .557 .558 .716 .912 .933 .684 .399 .290 .718 .578 .601 .775 .966 .956 .673 .365 .245 .702 .588 .635 .819 .997 .951 .643 .327 .202 .671 .585 .656 .845 1.000 .917 .594 .283 .161 .627 .572 .665 .854 .983 .865 .535 .239 .125 .576 .549 .663 .852 .957 .811 .480 .201 .097 .517 .515 .647 .835 .921 .755 .429 .170 .076 .450 .470 .614 .799 .869 .694 .381 .144 .061 1046 -.344 3046 .188 4.00659 .079786 2.982252 .328987 Correlation Surface at 1146 3046 .000 .006 .006 .115 .990 .382 .000 .037 .162 .003 .013 .004 .118 1.000 .563 .021 .040 .143 .003 .016 .005 .092 .893 .746 .111 .066 .136 .001 .016 .008 .055 .701 .841 .264 .128 .131 .000 .019 .016 .024 .459 .754 .389 .218 .121 .000 .027 .032 .004 .229 .510 .384 .302 .115 r_peak,r_snr = .1160772 4.77434 Correlation Surface of oversamples image at 1146 3046 .005 .111 .438 .812 .795 .361 .046 .000 .001 .011 .130 .466 .857 .884 .465 .098 .004 .005 .015 .137 .470 .873 .955 .579 .176 .027 .021 .015 .130 .445 .852 .996 .692 .279 .078 .055 .010 .108 .394 .793 1.000 .789 .395 .153 .105 .004 .077 .324 .706 .969 .862 .511 .246 .171 .000 .049 .258 .618 .927 .919 .629 .359 .260 .002 .026 .194 .526 .864 .945 .728 .477 .364 .012 .007 .123 .407 .746 .895 .755 .547 .437 1146 -2.563 3046 -13.844 4.77434 .029295 2.466270 -.202484 Correlation Surface at 1246 3046 .238 .338 .570 .828 .729 .663 .665 .627 .645 .223 .270 .473 .876 .867 .765 .733 .665 .612 .209 .220 .394 .899 .970 .818 .758 .676 .598 .203 .189 .341 .882 1.000 .801 .718 .655 .593 .205 .177 .315 .820 .943 .715 .618 .605 .588 .216 .183 .315 .728 .823 .590 .487 .541 .585 .233 .204 .336 .628 .687 .470 .369 .483 .583 .250 .235 .369 .540 .577 .390 .294 .442 .585 r_peak,r_snr = .2707649 2.24815 Correlation Surface of oversamples image at 1246 3046 .465 .612 .810 .906 .823 .697 .629 .609 .609 .411 .563 .789 .932 .888 .770 .691 .655 .641 .357 .512 .761 .949 .944 .836 .742 .684 .655 .307 .462 .727 .951 .983 .885 .775 .694 .651 .261 .413 .685 .936 1.000 .913 .786 .681 .628 .221 .366 .638 .904 .993 .916 .772 .645 .585 .187 .324 .588 .855 .961 .891 .733 .591 .526 .160 .288 .533 .789 .900 .836 .672 .522 .457 .142 .258 .477 .709 .815 .759 .596 .445 .384 1246 .438 3046 -12.813 2.24815 .040449 .486851 .015120 Correlation Surface at 1346 3046 .009 .001 .023 .260 .746 .524 .196 .108 .119 .011 .004 .016 .307 .846 .597 .212 .096 .089 .017 .008 .014 .367 .931 .659 .217 .075 .062 .026 .009 .019 .428 .985 .699 .214 .054 .040 .039 .008 .030 .478 1.000 .708 .208 .038 .023 .050 .004 .050 .507 .981 .681 .199 .031 .014 .054 .001 .071 .513 .939 .623 .184 .029 .009 .050 .000 .090 .508 .893 .550 .162 .030 .008 .040 .000 .103 .505 .858 .478 .139 .034 .007 r_peak,r_snr = .2956456 9.36862 Correlation Surface of oversamples image at 1346 3046 .012 .143 .441 .789 .921 .764 .489 .251 .095 .011 .152 .476 .835 .951 .775 .494 .252 .091 .013 .164 .508 .875 .977 .787 .501 .255 .090 .015 .177 .533 .904 .996 .799 .510 .261 .091 .019 .187 .546 .913 1.000 .802 .515 .265 .093 .023 .194 .545 .904 .989 .796 .512 .265 .094 .029 .200 .540 .888 .975 .787 .506 .262 .093 .034 .204 .530 .866 .955 .771 .493 .253 .091 .038 .202 .508 .826 .916 .738 .466 .236 .085 1346 -.125 3046 4.344 9.36862 .009302 2.570559 .096870 Correlation Surface at 1546 3046 .296 .437 .611 .792 .783 .670 .471 .341 .383 .253 .391 .593 .846 .846 .740 .516 .335 .363 .237 .376 .579 .895 .914 .813 .570 .347 .356 .250 .394 .576 .925 .969 .874 .623 .376 .362 .292 .447 .589 .930 1.000 .917 .671 .422 .380 .359 .527 .617 .908 1.000 .937 .708 .476 .401 .438 .614 .652 .862 .965 .931 .729 .519 .414 .511 .686 .691 .810 .898 .902 .733 .536 .410 .563 .726 .731 .763 .811 .857 .722 .524 .390 r_peak,r_snr = .4018586 2.98623 Correlation Surface of oversamples image at 1546 3046 .470 .667 .851 .934 .925 .889 .842 .738 .572 .467 .669 .864 .958 .952 .916 .870 .768 .599 .471 .672 .871 .973 .973 .939 .893 .793 .626 .481 .676 .874 .982 .990 .958 .911 .813 .652 .497 .678 .869 .983 1.000 .972 .923 .829 .677 .518 .678 .856 .972 .999 .977 .929 .839 .699 .543 .677 .836 .950 .990 .976 .930 .844 .716 .574 .679 .816 .926 .975 .972 .929 .849 .733 .609 .684 .795 .897 .955 .963 .926 .851 .744 1546 -.125 3046 1.125 2.98623 .088733 1.402864 -.222801 Correlation Surface at 1646 3046 .365 .563 .469 .538 .553 .321 .270 .349 .468 .359 .447 .433 .596 .695 .404 .365 .466 .566 .393 .358 .393 .646 .848 .494 .419 .496 .567 .457 .301 .343 .654 .966 .582 .420 .418 .462 .537 .269 .274 .598 1.000 .665 .392 .286 .301 .614 .252 .194 .485 .927 .740 .370 .167 .154 r_peak,r_snr = .1734472 2.96684 Correlation Surface of oversamples image at 1646 3046 .070 .084 .214 .488 .545 .310 .127 .113 .243 .050 .083 .249 .603 .707 .423 .181 .147 .276 .028 .070 .258 .679 .842 .525 .227 .166 .272 .010 .050 .243 .712 .941 .616 .270 .175 .243 .001 .030 .213 .705 1.000 .695 .313 .182 .209 .001 .012 .165 .644 .994 .741 .348 .185 .173 .013 .001 .103 .526 .908 .741 .371 .184 .137 .039 .004 .047 .384 .773 .712 .393 .191 .112 .071 .023 .014 .260 .635 .681 .432 .217 .108 1646 -9.000 3046 12.719 2.96684 .047684 1.292823 -.182913 Correlation Surface at 1746 3046 .416 .839 .702 .300 .519 .305 .376 .805 .700 .316 .629 .391 .322 .712 .680 .360 .772 .497 .269 .591 .658 .432 .913 .611 .224 .475 .645 .518 1.000 .711 .188 .384 .645 .598 .999 .776 .163 .322 .653 .663 .924 .795 .145 .281 .652 .717 .827 .779 .131 .247 .623 .769 .752 .746 r_peak,r_snr = .188103 2.85652 Correlation Surface of oversamples image at 1746 3046 .525 .719 .908 .862 .530 .207 .072 .056 .531 .742 .963 .928 .578 .233 .086 .068 .525 .747 .993 .974 .614 .255 .100 .082 .512 .735 .998 .999 .643 .278 .116 .099 .488 .705 .974 1.000 .661 .299 .134 .117 .455 .656 .921 .974 .665 .314 .149 .135 .416 .594 .845 .927 .660 .327 .163 .150 .376 .527 .759 .871 .652 .340 .177 .165 .334 .458 .669 .809 .643 .355 .191 .176 1746 10.250 3046 -3.531 2.85652 .016857 1.181055 .012264 Correlation Surface at 1946 3046 .044 .034 .048 .316 .566 .259 .009 .016 .015 .041 .050 .041 .385 .715 .272 .002 .034 .005 .033 .052 .047 .462 .852 .281 .000 .054 .000 .025 .040 .069 .545 .952 .287 .002 .067 .005 .018 .023 .106 .621 1.000 .294 .003 .067 .017 .014 .011 .146 .666 .997 .312 .001 .053 .030 .013 .006 .162 .654 .944 .340 .003 .029 .035 .013 .007 .139 .580 .858 .374 .026 .008 .029 .015 .013 .090 .462 .758 .410 .077 .000 .017 r_peak,r_snr = .2146291 10.15028 Correlation Surface of oversamples image at 1946 3046 .081 .270 .548 .827 .915 .683 .294 .056 .000 .094 .293 .580 .870 .960 .715 .314 .066 .001 .105 .308 .599 .893 .984 .736 .333 .079 .003 .115 .321 .611 .906 .998 .753 .356 .098 .008 .121 .328 .614 .907 1.000 .765 .380 .122 .018 .119 .320 .595 .878 .973 .754 .394 .144 .032 .109 .298 .557 .823 .917 .721 .394 .162 .047 .104 .283 .528 .780 .872 .697 .401 .186 .070 1946 -.094 3046 2.781 10.15029 .007457 2.546838 .053903 Correlation Surface at 2046 3046 .032 .028 .083 .319 .770 .024 .036 .095 .337 .799 .017 .050 .110 .368 .863 .010 .068 .127 .407 .946 .005 .080 .140 .436 1.000 .001 .074 .137 .435 .968 .000 .047 .111 .387 .830 .004 .015 .069 .299 .625 .012 .000 .030 .200 .423 r_peak,r_snr = .2129659 7.06671 Correlation Surface of oversamples image at 2046 3046 6.341 6.343 8.668 13.116 5.974 5.552 7.435 11.589 5.720 4.858 6.259 9.979 5.741 4.398 5.308 8.558 5.891 4.066 4.506 7.263 2046 17.844 3046 -11.813 7.06671 .012289 .952835 .037040 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .405 .501 .365 .354 .698 .976 .674 .438 .230 .413 .557 .396 .408 .776 .997 .676 .459 .258 .404 .610 .457 .493 .870 .989 .662 .479 .298 .377 .650 .536 .586 .956 .960 .635 .492 .340 .338 .661 .606 .652 1.000 .917 .598 .491 .361 .291 .634 .638 .659 .982 .863 .558 .469 .346 .245 .574 .625 .606 .906 .818 .533 .429 .294 .209 .504 .584 .528 .806 .797 .536 .382 .225 .193 .446 .542 .462 .721 .802 .560 .332 .162 r_peak,r_snr = .3094972 3.36757 Correlation Surface of oversamples image at 146 3446 .164 .290 .508 .775 .947 .942 .833 .704 .568 .179 .318 .543 .808 .973 .965 .857 .726 .581 .203 .358 .588 .843 .994 .980 .876 .746 .596 .235 .405 .636 .873 1.000 .977 .874 .748 .599 .275 .458 .685 .897 .994 .956 .854 .734 .592 .317 .512 .734 .916 .978 .922 .820 .709 .579 .362 .566 .780 .932 .958 .880 .777 .676 .561 .403 .613 .820 .943 .935 .834 .727 .635 .538 146 .156 3446 -7.781 3.36757 .025647 .772846 .088541 Correlation Surface at 246 3446 .489 .615 .781 .913 .777 .679 .636 .522 .484 .455 .628 .791 .916 .852 .688 .601 .521 .467 .454 .666 .818 .909 .924 .683 .540 .505 .449 .476 .713 .853 .901 .978 .666 .472 .481 .441 .508 .745 .881 .902 1.000 .644 .415 .460 .455 .541 .748 .889 .915 .986 .621 .377 .443 .489 .574 .723 .865 .932 .952 .606 .356 .431 .534 .609 .684 .805 .933 .915 .605 .348 .417 .567 .649 .645 .721 .906 .886 .621 .353 .401 .572 r_peak,r_snr = .367974 2.26214 Correlation Surface of oversamples image at 246 3446 .821 .806 .829 .907 .928 .819 .671 .593 .601 .851 .820 .833 .920 .959 .845 .669 .563 .559 .879 .837 .840 .932 .984 .867 .666 .536 .522 .899 .853 .849 .940 .999 .881 .660 .512 .489 .906 .865 .856 .941 1.000 .881 .650 .488 .459 .902 .871 .862 .936 .989 .871 .635 .465 .430 .890 .876 .870 .932 .975 .858 .624 .449 .409 .868 .875 .876 .926 .957 .844 .614 .436 .392 .829 .860 .872 .912 .931 .823 .602 .423 .372 246 .969 3446 4.250 2.26214 .011029 1.196633 .046444 Correlation Surface at 346 3446 .006 .001 .137 .431 .566 .515 .301 .081 .038 .000 .012 .259 .542 .715 .616 .339 .073 .037 .005 .041 .351 .671 .864 .675 .352 .090 .068 .011 .053 .357 .789 .975 .655 .317 .131 .151 .016 .039 .286 .869 1.000 .548 .246 .182 .287 .020 .020 .187 .863 .889 .386 .173 .214 .421 .023 .007 .095 .742 .648 .226 .121 .207 .472 .023 .002 .037 .536 .365 .115 .094 .165 .405 .021 .002 .011 .308 .144 .057 .088 .108 .270 r_peak,r_snr = .140958 9.13646 Correlation Surface of oversamples image at 346 3446 .199 .395 .581 .705 .795 .804 .682 .514 .360 .208 .416 .622 .766 .870 .873 .731 .548 .397 .197 .411 .641 .814 .933 .924 .758 .562 .421 .172 .385 .639 .849 .982 .953 .762 .559 .431 .135 .336 .611 .857 1.000 .947 .735 .532 .421 .089 .266 .547 .822 .968 .891 .667 .477 .388 .047 .188 .459 .749 .890 .792 .569 .403 .341 .019 .122 .373 .664 .792 .677 .468 .333 .297 .004 .071 .289 .566 .673 .550 .366 .266 .256 346 -1.344 3446 3.906 9.13646 .106623 1.349095 .275873 Correlation Surface at 446 3446 .021 .000 .051 .141 .003 .050 .116 .193 .059 .011 .013 .141 .292 .090 .007 .092 .183 .052 .010 .049 .271 .509 .375 .020 .036 .129 .051 .018 .092 .362 .685 .776 .139 .002 .070 .069 .033 .111 .329 .667 1.000 .283 .009 .034 .119 .051 .090 .184 .425 .841 .318 .027 .022 .204 .060 .045 .042 .137 .433 .222 .023 .030 .298 r_peak,r_snr = .1164329 7.78472 Correlation Surface of oversamples image at 446 3446 .070 .194 .423 .608 .593 .406 .191 .062 .006 .095 .241 .510 .740 .759 .590 .352 .163 .044 .116 .274 .572 .842 .903 .774 .542 .310 .120 .129 .284 .591 .889 .990 .916 .725 .477 .228 .130 .264 .553 .860 1.000 .989 .863 .636 .351 .117 .218 .467 .763 .932 .982 .933 .755 .465 .094 .155 .347 .606 .783 .879 .902 .794 .536 .066 .091 .218 .421 .584 .699 .771 .736 .541 .043 .043 .115 .257 .391 .500 .594 .617 .493 446 7.156 3446 11.406 7.78472 .028903 .220970 -.039191 Correlation Surface at 646 3446 .187 .231 .342 .599 .734 .599 .509 .353 .268 .213 .274 .399 .691 .813 .605 .463 .321 .240 .238 .317 .460 .799 .899 .619 .423 .284 .215 .257 .350 .512 .899 .967 .635 .390 .246 .193 .263 .364 .546 .966 1.000 .643 .362 .214 .178 .255 .355 .557 .984 .988 .636 .341 .191 .172 .236 .330 .546 .953 .940 .614 .330 .186 .178 .211 .299 .520 .889 .875 .587 .334 .199 .198 .188 .275 .490 .813 .812 .564 .349 .229 .229 r_peak,r_snr = .3821702 3.20818 Correlation Surface of oversamples image at 646 3446 .329 .452 .644 .826 .881 .798 .629 .440 .282 .339 .467 .670 .867 .927 .829 .639 .437 .272 .347 .478 .689 .899 .965 .856 .651 .437 .265 .349 .481 .697 .917 .989 .876 .659 .437 .260 .346 .478 .695 .921 1.000 .887 .664 .436 .256 .342 .474 .689 .916 1.000 .891 .667 .437 .257 .336 .468 .677 .900 .987 .887 .668 .439 .260 .322 .452 .653 .868 .958 .869 .659 .435 .261 .303 .430 .620 .824 .915 .839 .641 .426 .259 646 -.563 3446 -1.156 3.20818 .012684 .696029 .038431 Correlation Surface at 746 3446 .347 .359 .643 .735 .395 .394 .475 .538 .605 .379 .384 .690 .840 .572 .506 .451 .499 .538 .381 .351 .648 .858 .762 .662 .462 .478 .483 .343 .267 .532 .801 .919 .830 .496 .463 .431 .278 .176 .391 .700 1.000 .951 .533 .451 .379 .211 .114 .272 .586 .995 .979 .558 .436 .328 .155 .090 .198 .479 .919 .910 .557 .424 .285 .117 .099 .163 .392 .798 .784 .527 .416 .257 .093 .141 .158 .324 .655 .649 .488 .418 .241 r_peak,r_snr = .1955357 3.92619 Correlation Surface of oversamples image at 746 3446 .640 .846 .939 .910 .798 .707 .654 .568 .481 .631 .843 .958 .970 .897 .807 .718 .590 .476 .600 .812 .940 .991 .965 .888 .772 .609 .475 .551 .754 .890 .974 .999 .947 .815 .626 .474 .487 .679 .817 .926 1.000 .982 .843 .639 .474 .419 .596 .733 .859 .973 .990 .856 .647 .475 .351 .513 .647 .783 .924 .972 .850 .647 .476 .287 .433 .564 .703 .857 .926 .822 .633 .471 .233 .365 .490 .628 .783 .863 .776 .609 .463 746 -3.750 3446 8.219 3.92619 .326128 2.600558 -.823867 Correlation Surface at 1046 3446 .111 .116 .245 .453 .433 .161 .027 .031 .052 .124 .086 .252 .567 .607 .201 .038 .028 .033 .153 .071 .259 .697 .806 .262 .064 .031 .019 .199 .068 .261 .801 .960 .331 .111 .048 .012 .266 .079 .257 .839 1.000 .384 .178 .089 .012 .357 .112 .253 .793 .909 .400 .248 .154 .017 .470 .171 .255 .684 .737 .371 .293 .230 .028 .596 .252 .260 .550 .552 .308 .298 .289 .043 .710 .337 .258 .423 .402 .231 .263 .308 .059 r_peak,r_snr = .2254235 4.26153 Correlation Surface of oversamples image at 1046 3446 12.439 4.840 .515 .034 .451 13.946 6.389 1.129 .178 .571 14.558 7.513 1.737 .335 .553 15.335 8.890 2.619 .631 .616 1046 -12.875 3446 9.813 4.26153 .010790 .356632 -.013333 Correlation Surface at 1146 3446 .283 .307 .434 .622 .637 .279 .083 .101 .222 .280 .307 .506 .768 .756 .332 .073 .072 .202 .242 .283 .540 .873 .865 .406 .076 .059 .201 .182 .245 .532 .913 .951 .503 .095 .060 .222 .122 .210 .495 .882 1.000 .617 .128 .072 .250 .078 .191 .452 .798 .999 .738 .175 .084 .261 .054 .191 .412 .685 .955 .846 .231 .087 .237 .046 .206 .374 .568 .891 .922 .284 .074 .180 .049 .220 .327 .458 .824 .945 .316 .052 .116 r_peak,r_snr = .2038628 5.59185 Correlation Surface of oversamples image at 1146 3446 2.268 2.911 3.388 3.707 3.709 2.972 1.637 .566 .185 2.081 2.643 3.131 3.546 3.686 3.093 1.801 .665 .218 1.855 2.336 2.838 3.342 3.609 3.163 1.938 .757 .245 1.758 2.181 2.725 3.335 3.728 3.400 2.203 .931 .315 1146 2.625 3446 10.813 5.59185 .387033 8.657539 -1.756375 Correlation Surface at 1246 3446 .001 .055 .241 .479 .780 .877 .508 .354 .544 .003 .043 .263 .573 .852 .868 .399 .347 .569 .007 .025 .236 .641 .923 .889 .320 .292 .550 .017 .015 .180 .648 .978 .929 .289 .225 .493 .032 .012 .120 .580 1.000 .962 .304 .166 .407 .046 .016 .075 .459 .973 .973 .347 .125 .311 .048 .028 .052 .325 .887 .939 .383 .099 .216 .039 .049 .053 .217 .743 .855 .378 .079 .132 .024 .076 .081 .157 .574 .742 .330 .068 .072 r_peak,r_snr = .1866834 4.63825 Correlation Surface of oversamples image at 1246 3446 .206 .429 .582 .708 .764 .554 .202 .020 .001 .181 .407 .592 .755 .830 .608 .230 .029 .000 .154 .378 .593 .798 .893 .657 .256 .037 .000 .132 .349 .590 .839 .957 .708 .286 .050 .002 .114 .318 .575 .859 1.000 .747 .314 .065 .005 .094 .277 .529 .829 .989 .749 .327 .076 .009 .076 .228 .460 .759 .937 .724 .325 .081 .011 .076 .205 .417 .713 .909 .728 .349 .101 .020 1246 2.438 3446 -9.125 4.63825 .200503 6.494877 -1.013103 Correlation Surface at 1346 3446 .047 .113 .242 .566 .836 .574 .283 .202 .190 .055 .140 .283 .618 .886 .625 .311 .216 .202 .068 .180 .332 .667 .935 .669 .331 .231 .220 .084 .221 .379 .704 .978 .702 .343 .244 .242 .095 .247 .412 .719 1.000 .717 .353 .258 .269 .093 .246 .419 .702 .983 .709 .364 .275 .295 .079 .221 .398 .653 .928 .685 .380 .292 .314 .059 .185 .360 .581 .848 .650 .396 .305 .319 .040 .152 .317 .504 .758 .611 .403 .306 .305 r_peak,r_snr = .4826543 5.49404 Correlation Surface of oversamples image at 1346 3446 .321 .455 .647 .843 .936 .863 .674 .469 .310 .347 .482 .676 .874 .965 .886 .693 .483 .320 .374 .508 .701 .897 .986 .905 .708 .495 .330 .400 .529 .718 .910 .997 .916 .718 .504 .338 .423 .547 .728 .914 1.000 .921 .724 .511 .346 .444 .560 .731 .910 .996 .921 .730 .520 .357 .459 .567 .726 .897 .983 .918 .735 .531 .370 .467 .566 .711 .871 .961 .906 .736 .540 .383 .467 .558 .687 .837 .929 .889 .733 .548 .397 1346 .031 3446 -1.781 5.49404 .003232 .393743 -.001935 Correlation Surface at 1446 3446 .153 .119 .161 .453 .732 .461 .131 .125 .284 .088 .080 .167 .584 .776 .406 .132 .104 .178 .028 .044 .182 .740 .859 .412 .171 .105 .115 .002 .020 .188 .847 .951 .484 .241 .119 .087 .002 .007 .163 .835 1.000 .606 .328 .137 .083 .005 .003 .108 .683 .954 .731 .408 .146 .091 .000 .003 .054 .443 .792 .787 .450 .143 .106 .007 .009 .021 .219 .554 .737 .449 .132 .122 .042 .025 .009 .078 .331 .611 .433 .126 .135 r_peak,r_snr = .1868059 5.80783 Correlation Surface of oversamples image at 1446 3446 .065 .128 .275 .516 .713 .678 .448 .218 .091 .059 .137 .320 .603 .816 .753 .480 .225 .092 .053 .145 .359 .678 .902 .820 .516 .242 .102 .049 .151 .389 .733 .966 .877 .559 .271 .121 .045 .154 .406 .763 1.000 .917 .605 .311 .152 .042 .153 .406 .760 .996 .931 .645 .359 .192 .040 .147 .388 .725 .955 .919 .676 .412 .244 .038 .134 .351 .659 .881 .881 .696 .467 .301 .034 .115 .298 .568 .778 .818 .699 .518 .360 1446 -.375 3446 -.750 5.80783 .134995 2.024019 -.460155 Correlation Surface at 1646 3446 .657 .623 .802 .614 .532 .558 .330 .692 .735 .890 .614 .516 .580 .326 .721 .853 .956 .594 .461 .560 .323 .744 .945 .994 .579 .406 .520 .326 .763 .984 1.000 .585 .374 .482 .337 .781 .963 .965 .614 .373 .455 .352 r_peak,r_snr = .2847793 2.41445 Correlation Surface of oversamples image at 1646 3446 3.815 3.443 2.651 1.919 1.441 3.891 3.431 2.659 1.996 1.585 3.979 3.416 2.668 2.079 1.748 4.000 3.340 2.628 2.131 1.895 3.947 3.212 2.544 2.146 2.008 3.831 3.054 2.438 2.134 2.093 3.643 2.862 2.313 2.103 2.151 3.380 2.637 2.176 2.058 2.183 1646 -16.844 3446 10.219 2.41445 .018521 1.933387 -.029078 Correlation Surface at 1746 3446 .002 .025 .172 .374 .645 .748 .617 .236 .179 .014 .043 .198 .492 .784 .816 .604 .228 .155 .042 .069 .219 .617 .909 .831 .584 .238 .139 .083 .095 .231 .717 .988 .792 .558 .254 .124 .112 .108 .229 .761 1.000 .710 .524 .267 .109 .112 .099 .212 .740 .949 .608 .476 .273 .097 .085 .072 .178 .657 .851 .510 .419 .274 .093 .051 .042 .132 .531 .720 .427 .365 .279 .100 .030 .022 .085 .395 .584 .366 .326 .297 .124 r_peak,r_snr = .2267804 5.65334 Correlation Surface of oversamples image at 1746 3446 .153 .279 .445 .645 .798 .840 .796 .684 .514 .173 .317 .516 .742 .876 .863 .770 .632 .462 .194 .354 .584 .831 .939 .864 .723 .567 .406 .216 .390 .647 .906 .981 .845 .661 .495 .351 .237 .425 .702 .964 1.000 .808 .591 .425 .302 .253 .453 .742 .996 .993 .755 .517 .359 .259 .257 .460 .751 .988 .952 .684 .440 .297 .222 .246 .446 .728 .944 .884 .604 .368 .245 .192 .230 .422 .688 .882 .808 .532 .311 .207 .172 1746 -.250 3446 -2.125 5.65334 .048597 1.795549 .213791 Correlation Surface at 1846 3446 .192 .195 .397 .625 .879 .957 .772 .620 .620 .179 .192 .403 .682 .938 .965 .773 .635 .606 .171 .197 .410 .739 .978 .939 .752 .635 .581 .169 .209 .418 .787 .999 .891 .711 .619 .547 .170 .223 .425 .820 1.000 .835 .663 .593 .511 .173 .237 .431 .833 .988 .785 .619 .566 .481 .176 .248 .432 .825 .964 .746 .585 .545 .463 .180 .260 .432 .801 .931 .719 .559 .534 .461 .185 .275 .433 .769 .900 .700 .540 .528 .468 r_peak,r_snr = .5774028 2.43784 Correlation Surface of oversamples image at 1846 3446 .312 .476 .671 .832 .903 .886 .827 .761 .695 .313 .481 .688 .866 .945 .916 .838 .760 .696 .315 .483 .699 .891 .975 .936 .840 .754 .693 .317 .484 .705 .906 .994 .945 .835 .743 .688 .320 .483 .705 .910 1.000 .945 .824 .729 .678 .324 .483 .702 .906 .996 .936 .809 .711 .665 .330 .484 .698 .898 .986 .923 .792 .693 .651 .336 .485 .691 .886 .971 .906 .774 .674 .635 .339 .481 .679 .868 .949 .885 .754 .655 .618 1846 .063 3446 .219 2.43784 .059408 3.961541 .468673 Correlation Surface at 1946 3446 .004 .002 .083 .531 .683 .381 .216 .074 .016 .001 .000 .103 .556 .752 .416 .280 .076 .010 .000 .003 .156 .619 .855 .457 .325 .093 .014 .005 .023 .238 .703 .953 .503 .348 .121 .029 .014 .063 .319 .768 1.000 .556 .357 .150 .053 .019 .103 .360 .771 .973 .615 .367 .168 .077 .016 .118 .342 .700 .884 .674 .386 .171 .085 .006 .101 .285 .578 .756 .714 .411 .161 .074 .000 .066 .220 .448 .631 .718 .432 .145 .053 r_peak,r_snr = .2044229 7.46528 Correlation Surface of oversamples image at 1946 3446 .018 .172 .460 .732 .777 .553 .310 .186 .142 .028 .196 .498 .795 .858 .618 .346 .207 .159 .042 .220 .530 .845 .926 .681 .385 .229 .176 .058 .241 .550 .872 .974 .738 .428 .255 .195 .076 .257 .556 .877 1.000 .790 .479 .288 .216 .091 .265 .545 .855 1.000 .830 .531 .325 .238 .099 .257 .509 .801 .966 .846 .575 .358 .256 .098 .235 .456 .726 .908 .846 .614 .392 .271 .096 .211 .404 .653 .851 .844 .657 .433 .292 1946 -.031 3446 3.781 7.46528 .018839 1.368955 -.035020 Correlation Surface at 2046 3446 .003 .000 .165 .364 .506 .195 .124 .699 .657 .000 .001 .130 .435 .732 .320 .140 .571 .684 .000 .000 .085 .509 .898 .398 .147 .426 .653 .009 .009 .045 .570 .978 .425 .157 .310 .566 .033 .039 .017 .609 1.000 .437 .187 .244 .440 .056 .067 .004 .611 .985 .458 .251 .231 .310 .054 .060 .002 .594 .946 .473 .340 .267 .206 .029 .022 .005 .564 .868 .453 .418 .328 .136 .003 .000 .023 .518 .739 .385 .431 .368 .097 r_peak,r_snr = .1086035 5.5803 Correlation Surface of oversamples image at 2046 3446 .229 .365 .560 .806 .847 .632 .366 .158 .051 .183 .323 .548 .848 .923 .691 .385 .155 .043 .136 .274 .523 .863 .966 .723 .386 .142 .033 .098 .234 .496 .865 .997 .752 .392 .138 .030 .066 .194 .461 .844 1.000 .764 .396 .138 .029 .038 .153 .413 .792 .959 .741 .381 .131 .027 .017 .115 .358 .721 .893 .697 .359 .125 .026 .006 .085 .309 .652 .827 .659 .348 .128 .031 .001 .061 .263 .584 .761 .622 .343 .138 .041 2046 6.938 3446 2.156 5.58030 .033556 24.457893 .015286 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .257 .463 .250 .488 .946 .752 .301 .049 .071 .325 .521 .270 .522 1.000 .746 .280 .055 .090 .370 .546 .262 .492 .974 .690 .232 .052 .106 .383 .531 .237 .424 .892 .609 .175 .041 .118 .368 .475 .205 .356 .793 .525 .125 .029 .126 .332 .392 .174 .307 .707 .456 .090 .018 .127 r_peak,r_snr = .2583808 6.63707 Correlation Surface of oversamples image at 146 3846 .140 .319 .612 .819 .873 .787 .585 .294 .068 .162 .364 .679 .892 .936 .830 .605 .300 .072 .181 .398 .728 .945 .976 .848 .603 .295 .074 .194 .417 .758 .978 .997 .847 .585 .281 .073 .201 .422 .766 .990 1.000 .829 .552 .259 .070 .199 .410 .750 .976 .978 .789 .505 .228 .062 .189 .383 .710 .936 .933 .734 .448 .192 .051 .177 .352 .664 .886 .883 .678 .395 .160 .041 .165 .322 .613 .828 .828 .622 .346 .131 .032 146 .281 3846 -14.063 6.63707 .009710 .660375 .017300 Correlation Surface at 246 3846 .265 .049 .023 .126 .213 .206 .171 .276 .110 .112 .004 .003 .193 .400 .231 .123 .198 .086 .017 .013 .002 .240 .644 .281 .064 .101 .060 .002 .064 .020 .231 .873 .370 .026 .031 .041 .025 .108 .040 .176 1.000 .498 .015 .004 .031 .035 .107 .042 .109 .957 .633 .025 .000 .031 .020 .059 .022 .063 .763 .722 .064 .001 .035 .002 .010 .001 .044 .513 .714 .142 .006 .036 .005 .006 .018 .047 .300 .595 .225 .016 .027 r_peak,r_snr = .1672367 9.15408 Correlation Surface of oversamples image at 246 3846 .053 .003 .157 .422 .525 .376 .137 .011 .000 .070 .001 .172 .525 .691 .502 .175 .009 .008 .087 .000 .172 .598 .837 .624 .217 .008 .023 .099 .000 .163 .640 .949 .735 .264 .009 .039 .104 .002 .144 .635 1.000 .812 .307 .011 .051 .106 .005 .113 .573 .966 .829 .334 .014 .060 .101 .008 .080 .475 .865 .795 .346 .018 .062 .081 .009 .056 .377 .739 .737 .361 .028 .050 .054 .007 .038 .280 .586 .641 .360 .043 .033 246 -5.906 3846 8.125 9.15408 .012352 .517126 -.054073 Correlation Surface at 346 3846 .329 .420 .601 .857 .860 .782 .879 .961 .777 .305 .413 .627 .906 .917 .801 .892 .982 .807 .283 .405 .642 .935 .965 .810 .888 .984 .839 .263 .396 .638 .936 .997 .812 .870 .966 .867 .250 .385 .615 .900 1.000 .806 .841 .932 .888 .247 .375 .577 .826 .951 .781 .804 .889 .901 .252 .368 .535 .728 .863 .745 .765 .847 .910 .262 .365 .499 .631 .760 .704 .726 .812 .916 .270 .367 .480 .553 .665 .666 .694 .790 .920 r_peak,r_snr = .4924652 2.00932 Correlation Surface of oversamples image at 346 3846 .777 .817 .895 .959 .946 .858 .796 .832 .908 .976 .971 .887 .814 .843 .916 .985 .989 .912 .830 .850 .917 .986 .999 .933 .841 .853 .911 .978 1.000 .947 .847 .851 .900 .962 .992 .954 .848 .846 .883 .938 .974 .951 .842 .836 .864 .909 .948 .940 .826 .821 .839 .874 .913 .919 346 -.219 3846 1.219 2.00932 .010060 .217516 -.016804 Correlation Surface at 446 3846 .050 .252 .304 .049 .431 .006 .124 .005 .001 .021 .217 .333 .067 .599 .012 .255 .001 .005 .009 .170 .337 .076 .806 .048 .301 .025 .037 .011 .126 .313 .076 .971 .138 .212 .058 .096 .028 .093 .276 .060 1.000 .269 .067 .061 .143 .066 .073 .235 .033 .846 .368 .000 .027 .141 .112 .061 .191 .007 .559 .359 .049 .000 .092 .146 .059 .143 .001 .267 .251 .125 .015 .040 .156 .061 .094 .017 .085 .128 .129 .040 .012 r_peak,r_snr = .1237241 5.46768 Correlation Surface of oversamples image at 446 3846 .381 .072 .077 .566 .847 .515 .067 .022 .041 .426 .093 .063 .562 .910 .601 .096 .018 .052 .470 .119 .046 .543 .961 .693 .138 .009 .053 .510 .149 .030 .508 .990 .780 .191 .002 .043 .534 .176 .017 .466 1.000 .859 .256 .001 .024 .545 .203 .007 .414 .979 .915 .328 .014 .006 .554 .233 .001 .347 .914 .926 .390 .042 .000 .554 .263 .000 .276 .817 .895 .432 .080 .010 .525 .276 .004 .219 .722 .847 .464 .127 .038 446 .188 3846 .844 5.46768 .010895 .807953 -.057606 Correlation Surface at 546 3846 .152 .137 .115 .281 .721 .679 .314 .135 .189 .146 .134 .121 .350 .842 .706 .314 .137 .189 .147 .140 .143 .428 .939 .714 .321 .157 .199 .151 .156 .182 .510 .994 .701 .328 .192 .224 .153 .177 .237 .584 1.000 .670 .332 .240 .262 .151 .202 .301 .638 .963 .630 .336 .290 .302 .144 .230 .366 .668 .899 .592 .339 .333 .333 .136 .256 .425 .675 .827 .562 .346 .362 .346 .133 .280 .473 .661 .750 .542 .362 .380 .340 r_peak,r_snr = .3711268 4.40648 Correlation Surface of oversamples image at 546 3846 .101 .157 .328 .617 .855 .875 .739 .566 .400 .116 .185 .378 .684 .910 .889 .712 .529 .379 .134 .217 .428 .745 .953 .889 .678 .489 .357 .155 .251 .477 .797 .983 .881 .640 .449 .336 .179 .288 .523 .838 1.000 .866 .603 .412 .318 .205 .323 .560 .862 .999 .842 .566 .379 .301 .230 .354 .584 .863 .976 .806 .527 .347 .284 .255 .380 .595 .846 .938 .765 .492 .321 .270 .285 .408 .603 .821 .896 .729 .468 .305 .263 546 .000 3846 .781 4.40648 .010439 1.010473 .080799 Correlation Surface at 746 3846 .040 .043 .058 .300 .271 .137 .016 .100 .082 .030 .042 .082 .531 .503 .185 .006 .108 .050 .019 .050 .109 .727 .739 .231 .003 .094 .027 .009 .074 .144 .833 .915 .265 .003 .065 .013 .003 .115 .187 .841 1.000 .282 .003 .035 .005 .001 .157 .234 .771 .989 .281 .001 .015 .001 .000 .175 .274 .660 .897 .263 .000 .005 .001 .000 .162 .306 .553 .768 .240 .005 .002 .007 .000 .130 .334 .491 .648 .229 .010 .001 .015 r_peak,r_snr = .1712136 6.34785 Correlation Surface of oversamples image at 746 3846 .091 .231 .535 .784 .723 .426 .134 .010 .007 .111 .250 .576 .868 .822 .488 .149 .008 .010 .132 .264 .598 .925 .902 .543 .162 .007 .013 .158 .277 .606 .957 .964 .594 .178 .007 .014 .186 .288 .601 .959 1.000 .635 .192 .007 .015 .209 .292 .578 .928 1.000 .655 .200 .007 .017 .229 .295 .548 .877 .974 .659 .205 .006 .019 .256 .308 .532 .833 .949 .668 .217 .007 .019 .283 .327 .523 .792 .916 .673 .232 .010 .018 746 -.188 3846 -8.844 6.34785 .014402 1.257783 -.030577 Correlation Surface at 846 3846 .042 .083 .229 .549 .496 .045 .002 .070 .019 .048 .082 .187 .540 .661 .078 .000 .044 .001 .047 .080 .152 .474 .810 .136 .001 .022 .002 .041 .080 .130 .395 .934 .233 .005 .010 .005 .032 .082 .114 .320 1.000 .362 .021 .004 .003 .021 .083 .096 .250 .976 .493 .061 .001 .000 .012 .081 .071 .178 .868 .594 .138 .001 .002 .006 .076 .040 .103 .707 .639 .238 .010 .008 .004 .069 .014 .041 .529 .604 .317 .031 .016 r_peak,r_snr = .1600502 7.26003 Correlation Surface of oversamples image at 846 3846 .161 .308 .650 .890 .783 .471 .201 .080 .050 .163 .294 .637 .919 .868 .558 .245 .094 .060 .162 .276 .609 .923 .932 .641 .296 .114 .069 .158 .254 .570 .906 .973 .717 .355 .141 .079 .154 .232 .527 .875 1.000 .792 .429 .184 .098 .146 .205 .473 .821 .997 .847 .504 .237 .121 .122 .162 .395 .727 .937 .850 .552 .282 .140 .086 .112 .307 .612 .838 .807 .567 .315 .153 .064 .081 .251 .539 .776 .790 .605 .374 .190 846 -6.500 3846 10.750 7.26003 .038717 2.618463 -.284196 Correlation Surface at 946 3846 .198 .051 .081 .060 .110 .361 .068 .015 .234 .103 .107 .239 .033 .437 .068 .000 .247 .141 .129 .525 .000 .446 .079 .009 .213 .117 .153 .832 .052 .358 .100 .014 .134 .047 .169 1.000 .149 .230 .125 .008 .049 .001 .170 .951 .201 .126 .143 .000 .003 .033 .158 .742 .174 .076 .144 .003 .008 .118 .137 .505 .117 .066 .129 .011 .039 .181 .116 .347 .080 .080 .110 .016 r_peak,r_snr = 9.85338E-02 4.92586 Correlation Surface of oversamples image at 946 3846 .593 .446 .055 .150 .569 .393 .027 .142 .632 .575 .452 .059 .174 .711 .559 .077 .088 .564 .525 .423 .053 .201 .844 .727 .147 .044 .474 .446 .361 .040 .229 .950 .873 .228 .014 .377 .352 .278 .024 .249 1.000 .967 .305 .001 .287 .261 .193 .010 .256 .988 .994 .361 .002 .211 .183 .120 .002 .249 .912 .947 .381 .009 .152 .120 .062 .000 .230 .788 .841 .368 .017 .110 .070 .023 .005 .208 .648 .712 .339 .024 .077 946 -12.250 3846 3.750 4.92586 .012551 .876857 -.039524 Correlation Surface at 1146 3846 .068 .080 .215 .588 .734 .646 .872 .961 .395 .075 .131 .269 .669 .826 .699 .842 .916 .461 .061 .171 .346 .767 .922 .723 .732 .807 .532 .035 .182 .437 .869 .990 .729 .615 .674 .559 .015 .169 .516 .944 1.000 .723 .540 .554 .507 .007 .148 .552 .960 .943 .713 .522 .464 .395 .009 .133 .531 .909 .838 .703 .551 .397 .277 .021 .123 .462 .802 .708 .686 .603 .343 .194 .045 .110 .367 .666 .575 .655 .650 .297 .156 r_peak,r_snr = .1976281 4.07023 Correlation Surface of oversamples image at 1146 3846 .197 .332 .559 .805 .903 .824 .698 .613 .579 .203 .356 .598 .846 .940 .850 .709 .605 .546 .205 .377 .635 .881 .966 .867 .716 .598 .519 .204 .396 .670 .913 .987 .882 .724 .596 .500 .202 .413 .700 .938 1.000 .889 .730 .598 .490 .196 .422 .717 .947 .995 .880 .728 .600 .489 .187 .422 .719 .937 .971 .856 .717 .603 .496 .181 .418 .712 .917 .941 .830 .710 .615 .517 .178 .410 .695 .887 .904 .803 .705 .633 .546 1146 -.625 3846 -4.781 4.07023 .091730 1.972452 .185805 Correlation Surface at 1246 3846 .184 .149 .017 .176 .814 .506 .075 .003 .057 .188 .142 .004 .261 .878 .455 .065 .002 .037 .196 .146 .000 .353 .938 .424 .060 .001 .022 .210 .166 .000 .428 .983 .403 .058 .000 .011 .236 .208 .000 .463 1.000 .388 .054 .000 .003 .269 .271 .001 .447 .981 .372 .046 .002 .000 .304 .342 .007 .404 .936 .354 .034 .002 .001 .329 .396 .016 .359 .875 .335 .021 .001 .004 .334 .414 .021 .326 .812 .310 .013 .000 .004 r_peak,r_snr = .2197055 6.91574 Correlation Surface of oversamples image at 1246 3846 .001 .060 .318 .724 .923 .707 .346 .098 .002 .002 .062 .333 .755 .955 .721 .345 .095 .002 .003 .060 .338 .771 .978 .738 .350 .094 .001 .004 .056 .335 .776 .996 .758 .358 .093 .001 .007 .050 .325 .768 1.000 .772 .365 .091 .000 .011 .042 .309 .749 .990 .777 .369 .088 .000 .014 .038 .299 .734 .984 .788 .380 .089 .000 .017 .035 .294 .724 .979 .800 .394 .092 .000 .022 .032 .285 .703 .951 .787 .391 .089 .001 1246 .000 3846 .344 6.91574 .006719 4.894361 .072037 Correlation Surface at 1346 3846 .201 .311 .564 .812 .890 .541 .255 .212 .104 .176 .290 .540 .844 .967 .572 .257 .203 .099 .162 .280 .513 .832 1.000 .589 .263 .195 .093 .161 .282 .480 .785 .989 .590 .275 .192 .088 .170 .289 .444 .722 .944 .580 .295 .196 .085 .184 .298 .412 .662 .878 .565 .322 .204 .083 .196 .305 .395 .622 .802 .548 .351 .213 .080 r_peak,r_snr = .4301066 4.61374 Correlation Surface of oversamples image at 1346 3846 .579 .702 .807 .905 .915 .767 .538 .362 .273 .570 .705 .825 .939 .954 .798 .553 .363 .266 .561 .702 .832 .957 .981 .822 .566 .364 .259 .552 .694 .830 .964 .996 .838 .576 .363 .252 .542 .683 .820 .959 1.000 .847 .581 .362 .246 .531 .665 .800 .942 .992 .846 .582 .360 .242 .518 .645 .775 .917 .974 .838 .579 .358 .239 .507 .626 .751 .891 .952 .826 .576 .359 .241 .497 .609 .728 .865 .928 .812 .573 .362 .246 1346 .875 3846 -13.219 4.61374 .004770 .484939 -.017958 Correlation Surface at 1446 3846 .022 .010 .113 .220 .499 .388 .159 .193 .331 .037 .018 .128 .301 .666 .510 .278 .333 .374 .056 .033 .143 .383 .848 .668 .440 .485 .402 .078 .050 .153 .447 .976 .816 .602 .595 .413 .094 .061 .158 .484 1.000 .888 .712 .641 .408 .101 .061 .159 .500 .927 .849 .742 .636 .389 .096 .054 .159 .506 .813 .725 .698 .605 .357 .076 .041 .152 .509 .717 .585 .614 .565 .313 .050 .026 .136 .509 .666 .477 .518 .524 .261 r_peak,r_snr = .2071357 5.17007 Correlation Surface of oversamples image at 1446 3846 .168 .297 .509 .732 .841 .807 .684 .576 .550 .175 .317 .552 .789 .901 .867 .752 .661 .647 .182 .335 .587 .835 .950 .919 .815 .741 .740 .193 .353 .616 .869 .985 .959 .865 .808 .818 .207 .372 .637 .886 1.000 .980 .899 .858 .879 .222 .386 .644 .877 .984 .974 .911 .887 .916 .236 .398 .639 .847 .942 .942 .899 .893 .929 .258 .415 .636 .816 .896 .902 .877 .887 .929 .283 .437 .637 .786 .847 .855 .845 .869 .917 1446 .688 3846 -2.938 5.17007 .019059 .784538 .012646 Correlation Surface at 1546 3846 .000 .051 .044 .079 .290 .025 .002 .005 .202 .460 .049 .008 .003 .353 .704 .041 .028 .017 .439 .930 .018 .032 .017 .383 1.000 .003 .017 .003 .219 .849 .000 .002 .007 .063 .558 r_peak,r_snr = .1206599 7.57654 Correlation Surface of oversamples image at 1546 3846 .396 .658 .818 .825 .695 .490 .196 .000 .165 .367 .592 .788 .893 .818 .572 .191 .004 .263 .312 .491 .711 .918 .929 .663 .195 .015 .362 .231 .360 .579 .872 .989 .734 .197 .031 .458 .154 .237 .433 .779 1.000 .784 .201 .044 .527 .093 .141 .301 .659 .965 .808 .207 .051 .564 .039 .061 .172 .498 .853 .772 .199 .059 .591 .005 .011 .069 .323 .682 .678 .176 .066 .604 .000 .001 .031 .232 .587 .647 .194 .042 .512 1546 14.594 3846 13.688 7.57654 .067716 .626277 -.112270 Correlation Surface at 1646 3846 .511 .509 .610 .788 .868 .690 .563 .610 .617 .507 .522 .646 .822 .907 .717 .553 .561 .556 .507 .527 .672 .848 .947 .763 .564 .533 .501 .508 .523 .677 .861 .981 .814 .595 .527 .456 .506 .509 .660 .857 1.000 .857 .641 .537 .422 .499 .494 .630 .839 .998 .881 .691 .555 .399 .488 .487 .599 .811 .971 .885 .731 .567 .385 .480 .495 .576 .779 .926 .870 .748 .563 .378 .479 .521 .564 .741 .869 .841 .738 .546 .378 r_peak,r_snr = .4855553 2.33521 Correlation Surface of oversamples image at 1646 3846 .680 .749 .828 .933 .981 .873 .686 .531 .437 .694 .758 .827 .931 .992 .898 .713 .552 .449 .697 .758 .821 .926 .998 .917 .738 .574 .464 .690 .752 .812 .919 1.000 .930 .760 .599 .484 .676 .741 .805 .916 1.000 .938 .778 .624 .509 .654 .723 .794 .911 .996 .939 .789 .646 .534 .624 .698 .779 .901 .984 .929 .792 .663 .558 .592 .669 .760 .888 .966 .911 .787 .677 .582 .563 .643 .744 .876 .948 .892 .780 .689 .606 1646 .031 3846 3.188 2.33521 .020755 1.513969 -.129787 Correlation Surface at 1746 3846 .021 .138 .486 .737 .446 .046 .000 .009 .005 .023 .090 .484 .875 .641 .131 .015 .000 .025 .028 .061 .459 .961 .834 .256 .053 .012 .048 .036 .048 .419 .974 .962 .385 .103 .044 .072 .047 .048 .364 .920 1.000 .475 .148 .089 .102 .062 .056 .296 .826 .978 .515 .179 .129 .134 .076 .068 .216 .714 .936 .523 .198 .145 .158 .083 .074 .137 .598 .907 .528 .213 .137 .160 .081 .069 .074 .488 .888 .544 .226 .116 .137 r_peak,r_snr = .1790936 8.38548 Correlation Surface of oversamples image at 1746 3846 .953 1.789 2.887 3.853 3.973 3.297 2.463 1.594 .799 .841 1.603 2.691 3.715 3.949 3.360 2.545 1.639 .797 .683 1.360 2.422 3.493 3.852 3.367 2.570 1.635 .764 .585 1.209 2.268 3.406 3.904 3.522 2.722 1.725 .796 1746 1.063 3846 1.813 8.38548 .102482 4.249271 -.567048 Correlation Surface at 1846 3846 .002 .086 .347 .584 .795 .937 .709 .274 .126 .004 .094 .344 .645 .852 .918 .690 .260 .128 .006 .107 .344 .696 .916 .901 .662 .248 .130 .009 .122 .346 .722 .972 .894 .637 .244 .134 .013 .138 .349 .712 1.000 .887 .614 .249 .140 .017 .150 .353 .672 .984 .871 .588 .260 .149 .024 .157 .359 .622 .920 .835 .556 .272 .158 .029 .160 .367 .576 .829 .785 .521 .276 .165 .031 .156 .375 .544 .739 .731 .484 .268 .166 r_peak,r_snr = .4001406 5.49245 Correlation Surface of oversamples image at 1846 3846 .296 .467 .675 .857 .931 .903 .855 .798 .637 .301 .468 .679 .875 .959 .915 .838 .763 .607 .307 .468 .674 .883 .981 .928 .825 .730 .577 .312 .464 .661 .879 .996 .941 .816 .703 .550 .317 .459 .641 .862 1.000 .953 .812 .680 .527 .321 .451 .615 .831 .989 .957 .808 .659 .505 .323 .442 .584 .788 .962 .952 .803 .641 .486 .326 .435 .555 .743 .928 .943 .800 .629 .472 .329 .431 .530 .697 .887 .929 .797 .622 .463 1846 .125 3846 1.063 5.49245 .009709 .601589 -.013784 Correlation Surface at 1946 3846 .007 .085 .277 .501 .602 .410 .155 .066 .100 .009 .090 .271 .534 .762 .510 .186 .069 .084 .015 .103 .265 .540 .897 .619 .234 .082 .070 .021 .115 .261 .525 .980 .718 .293 .102 .063 .021 .119 .260 .498 1.000 .787 .357 .126 .061 .017 .116 .265 .466 .975 .829 .417 .151 .062 .013 .114 .276 .439 .927 .842 .462 .173 .060 .012 .118 .290 .423 .875 .823 .478 .188 .056 .016 .130 .300 .412 .825 .768 .458 .193 .052 r_peak,r_snr = .3043776 6.67767 Correlation Surface of oversamples image at 1946 3846 .243 .364 .547 .726 .771 .630 .432 .287 .209 .245 .372 .578 .796 .858 .700 .476 .314 .227 .249 .376 .601 .853 .933 .761 .515 .340 .244 .251 .374 .610 .888 .984 .805 .545 .359 .255 .246 .360 .597 .892 1.000 .822 .558 .369 .258 .237 .338 .568 .867 .984 .815 .559 .372 .256 .231 .319 .538 .833 .955 .800 .557 .376 .256 .224 .299 .505 .789 .910 .772 .548 .376 .255 .207 .269 .458 .721 .837 .717 .519 .363 .245 1946 .438 3846 -2.563 6.67767 .013488 1.509284 -.102184 Correlation Surface at 2046 3846 .000 .012 .005 .080 .471 .354 .192 .015 .002 .000 .000 .000 .125 .646 .347 .115 .004 .000 .007 .012 .001 .170 .811 .344 .079 .004 .001 .033 .050 .004 .218 .934 .351 .076 .018 .016 .083 .095 .003 .266 1.000 .366 .100 .064 .057 .149 .118 .000 .297 .988 .368 .146 .155 .130 .202 .107 .001 .290 .876 .344 .199 .270 .210 .219 .076 .005 .225 .670 .292 .239 .355 .258 .199 .044 .007 .121 .413 .223 .250 .367 .246 r_peak,r_snr = .1552989 5.51641 Correlation Surface of oversamples image at 2046 3846 .018 .077 .266 .612 .872 .741 .406 .172 .050 .012 .078 .292 .668 .927 .761 .397 .159 .047 .008 .079 .311 .708 .964 .771 .391 .155 .049 .007 .085 .332 .744 .990 .778 .394 .162 .062 .009 .095 .353 .770 1.000 .774 .399 .177 .084 .012 .105 .366 .779 .986 .753 .397 .193 .113 .016 .113 .368 .771 .955 .723 .395 .212 .147 .022 .118 .365 .754 .920 .699 .403 .240 .191 .030 .121 .350 .720 .871 .673 .414 .270 .238 2046 .000 3846 2.969 5.51641 .008527 2.361759 .044672 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .113 .113 .008 .135 .655 .594 .310 .087 .000 .118 .091 .001 .179 .749 .640 .304 .092 .003 .107 .064 .001 .226 .859 .718 .324 .109 .011 .087 .042 .008 .271 .952 .790 .345 .126 .019 .070 .029 .020 .313 1.000 .814 .338 .128 .021 .061 .026 .030 .346 .986 .764 .288 .103 .018 .063 .034 .034 .368 .914 .644 .202 .061 .013 .077 .051 .032 .370 .800 .499 .114 .024 .011 .097 .073 .025 .342 .661 .365 .054 .006 .015 r_peak,r_snr = .2335995 9.26104 Correlation Surface of oversamples image at 146 4246 .076 .235 .489 .749 .858 .731 .510 .331 .206 .093 .264 .529 .798 .909 .775 .542 .356 .225 .110 .293 .569 .843 .954 .811 .566 .373 .238 .128 .323 .608 .883 .986 .833 .578 .380 .243 .144 .351 .641 .910 1.000 .836 .574 .372 .235 .157 .374 .666 .920 .991 .817 .552 .350 .215 .166 .393 .685 .918 .963 .780 .516 .315 .187 .172 .407 .694 .900 .916 .726 .468 .272 .152 .169 .406 .682 .856 .843 .651 .405 .220 .113 146 .406 4246 6.563 9.26104 .009913 1.478676 .059681 Correlation Surface at 246 4246 .190 .154 .162 .139 .380 .796 .702 .257 .161 .325 .213 .212 .248 .532 .867 .722 .272 .216 .438 .217 .239 .414 .726 .914 .776 .351 .316 .477 .168 .237 .596 .905 .913 .836 .474 .443 .433 .102 .215 .732 1.000 .861 .875 .606 .564 .340 .052 .188 .773 .988 .782 .883 .712 .657 .240 .026 .166 .719 .907 .716 .862 .768 .709 .160 .016 .153 .616 .813 .689 .839 .775 .727 r_peak,r_snr = .1669441 3.42833 Correlation Surface of oversamples image at 246 4246 2.941 2.608 2.641 3.183 3.742 3.774 3.299 2.796 2.776 2.555 2.646 3.176 3.709 3.756 3.345 2.906 2.609 2.515 2.659 3.158 3.645 3.676 3.297 2.924 2.638 2.675 2.865 3.334 3.776 3.763 3.372 3.042 246 1.031 4246 14.813 3.42833 .169787 1.587471 .390741 Correlation Surface at 346 4246 .006 .014 .009 .029 .234 .140 .221 .079 .011 .000 .048 .014 .063 .483 .300 .355 .050 .053 .004 .102 .023 .098 .756 .467 .452 .034 .105 .020 .159 .029 .122 .960 .608 .523 .045 .107 .049 .190 .027 .126 1.000 .696 .585 .103 .055 .079 .175 .017 .105 .860 .711 .625 .220 .008 .100 .121 .006 .065 .619 .644 .607 .349 .002 .101 .054 .001 .023 .374 .513 .511 .394 .010 .080 .007 .000 .001 .188 .356 .362 .309 .003 r_peak,r_snr = .1308991 8.35784 Correlation Surface of oversamples image at 346 4246 .792 .915 .889 .876 .877 .676 .244 .006 .737 .897 .908 .910 .925 .750 .317 .025 .650 .845 .902 .927 .956 .810 .390 .058 .558 .786 .892 .944 .986 .866 .468 .105 .468 .721 .871 .947 1.000 .905 .537 .160 .363 .624 .805 .897 .954 .884 .561 .198 .251 .505 .700 .797 .849 .797 .525 .202 .188 .440 .645 .739 .781 .735 .500 .210 346 2.031 4246 3.813 8.35784 .012780 .668481 -.020224 Correlation Surface at 446 4246 .950 .781 .655 .819 .857 .742 .788 .721 .453 .905 .740 .631 .827 .906 .778 .824 .757 .475 .822 .682 .599 .820 .956 .823 .844 .754 .479 .738 .632 .573 .795 .989 .871 .843 .711 .466 .686 .607 .562 .764 1.000 .910 .825 .649 .442 .678 .613 .569 .739 .989 .935 .801 .595 .423 .707 .642 .594 .729 .957 .940 .783 .567 .419 .756 .684 .632 .737 .920 .932 .779 .571 .435 .800 .727 .680 .762 .885 .915 .791 .599 .466 r_peak,r_snr = .4457902 1.58638 Correlation Surface of oversamples image at 446 4246 .574 .673 .838 .964 .958 .857 .775 .777 .829 .566 .659 .826 .963 .975 .888 .808 .800 .836 .562 .647 .811 .959 .990 .920 .845 .825 .843 .561 .637 .796 .950 .999 .949 .881 .852 .849 .564 .630 .778 .935 1.000 .970 .912 .874 .854 .571 .627 .762 .916 .994 .984 .937 .894 .857 .586 .632 .753 .898 .984 .992 .958 .913 .863 .604 .642 .748 .881 .968 .991 .972 .928 .869 .623 .654 .743 .859 .943 .977 .972 .934 .872 446 6.000 4246 -3.688 1.58638 .031235 2.133520 -.213546 Correlation Surface at 546 4246 .182 .328 .606 .726 .868 .749 .325 .132 .075 .155 .266 .541 .717 .878 .723 .289 .143 .095 .129 .209 .465 .715 .915 .724 .273 .161 .127 .108 .169 .400 .714 .963 .745 .278 .181 .165 .098 .155 .362 .710 1.000 .776 .303 .200 .200 .101 .167 .357 .700 .998 .805 .347 .216 .218 .120 .204 .387 .679 .944 .820 .403 .227 .216 .155 .259 .441 .651 .855 .817 .457 .233 .203 .203 .318 .501 .617 .757 .796 .494 .236 .192 r_peak,r_snr = .3016884 4.53009 Correlation Surface of oversamples image at 546 4246 .358 .535 .692 .827 .933 .939 .774 .511 .295 .323 .505 .681 .838 .953 .949 .771 .507 .299 .298 .481 .672 .850 .976 .964 .777 .514 .310 .282 .463 .663 .858 .995 .979 .788 .529 .327 .273 .447 .649 .854 1.000 .986 .798 .546 .348 .273 .437 .631 .838 .990 .982 .806 .566 .371 .284 .435 .616 .817 .973 .977 .819 .593 .399 .305 .441 .600 .789 .945 .965 .830 .621 .428 .328 .445 .577 .745 .898 .936 .829 .641 .450 546 .219 4246 -8.594 4.53009 .015803 1.826349 -.075797 Correlation Surface at 646 4246 .681 .671 .689 .716 .827 .782 .718 .681 .551 .673 .674 .699 .736 .890 .871 .797 .722 .572 .658 .671 .712 .769 .951 .949 .861 .758 .607 .645 .665 .723 .801 .993 .994 .888 .779 .649 .638 .661 .731 .815 1.000 .990 .872 .778 .687 .645 .662 .735 .805 .969 .940 .824 .759 .713 .665 .672 .737 .778 .913 .864 .758 .727 .720 .694 .696 .740 .745 .854 .785 .691 .693 .708 .726 .734 .751 .726 .817 .724 .634 .663 .680 r_peak,r_snr = .5056592 1.79074 Correlation Surface of oversamples image at 646 4246 .749 .780 .824 .883 .913 .859 .763 .706 .685 .756 .792 .844 .911 .944 .885 .780 .715 .686 .758 .800 .859 .933 .970 .907 .794 .719 .682 .755 .803 .867 .949 .990 .926 .806 .721 .674 .747 .799 .867 .954 1.000 .938 .813 .718 .664 .734 .787 .856 .947 .998 .941 .814 .711 .650 .716 .770 .837 .929 .987 .937 .811 .700 .634 .698 .749 .813 .905 .970 .931 .806 .690 .619 .677 .726 .784 .876 .949 .921 .799 .678 .604 646 .000 4246 7.219 1.79074 .018277 .363987 .030661 Correlation Surface at 746 4246 .040 .001 .031 .089 .329 .388 .151 .015 .008 .023 .000 .050 .190 .512 .505 .197 .040 .029 .014 .000 .097 .362 .739 .618 .243 .078 .065 .010 .000 .161 .560 .933 .683 .271 .115 .099 .009 .001 .221 .698 1.000 .680 .280 .143 .115 .010 .003 .253 .717 .915 .621 .283 .162 .109 .012 .006 .244 .617 .734 .546 .300 .183 .092 .016 .011 .209 .454 .530 .489 .338 .218 .077 .023 .020 .168 .298 .361 .462 .396 .267 .070 r_peak,r_snr = .1942899 8.30182 Correlation Surface of oversamples image at 746 4246 .062 .229 .437 .634 .769 .728 .521 .291 .141 .086 .297 .545 .756 .866 .785 .548 .301 .145 .110 .361 .641 .856 .938 .824 .566 .308 .148 .135 .421 .722 .931 .987 .850 .582 .318 .154 .159 .467 .775 .968 1.000 .853 .587 .326 .160 .173 .486 .783 .950 .964 .822 .575 .326 .164 .180 .482 .753 .890 .894 .770 .553 .325 .170 .188 .471 .711 .818 .819 .720 .539 .334 .185 .193 .451 .653 .734 .736 .667 .525 .345 .205 746 -1.156 4246 1.938 8.30182 .030027 .413289 .050061 Correlation Surface at 846 4246 .580 .667 .709 .831 .846 .746 .664 .724 .859 .600 .670 .725 .879 .900 .773 .693 .772 .899 .620 .677 .739 .918 .957 .795 .718 .805 .922 .634 .685 .745 .930 .998 .804 .734 .823 .934 .639 .688 .741 .906 1.000 .790 .737 .830 .942 .630 .683 .724 .851 .954 .748 .722 .829 .942 .612 .675 .701 .784 .872 .684 .686 .819 .931 .591 .666 .677 .720 .780 .616 .635 .796 .906 .577 .659 .661 .678 .708 .565 .582 .763 .869 r_peak,r_snr = .4303423 1.77743 Correlation Surface of oversamples image at 846 4246 2.122 2.288 2.680 3.257 2.154 2.340 2.743 3.323 2.191 2.391 2.799 3.374 2.233 2.447 2.852 3.414 2.287 2.512 2.909 3.446 2.341 2.580 2.965 3.467 2.375 2.629 3.002 3.465 2.379 2.651 3.014 3.438 2.367 2.660 3.017 3.405 846 -1.156 4246 3.813 1.77743 .012546 .386107 -.006685 Correlation Surface at 946 4246 .036 .017 .094 .264 .693 .365 .042 .030 .005 .044 .000 .051 .299 .804 .404 .043 .020 .010 .040 .005 .028 .330 .907 .458 .053 .011 .009 .027 .009 .019 .354 .980 .510 .075 .006 .006 .011 .007 .019 .370 1.000 .543 .111 .005 .004 .001 .002 .027 .379 .966 .557 .163 .010 .007 .002 .000 .037 .382 .898 .552 .225 .025 .019 .015 .000 .042 .373 .806 .524 .282 .053 .046 .034 .000 .038 .351 .701 .468 .310 .086 .091 r_peak,r_snr = .1990136 10.49344 Correlation Surface of oversamples image at 946 4246 .028 .146 .325 .614 .933 .947 .559 .170 .021 .014 .148 .362 .658 .948 .928 .537 .157 .014 .005 .144 .389 .689 .948 .898 .507 .140 .007 .001 .141 .415 .729 .974 .903 .503 .134 .004 .000 .134 .430 .762 1.000 .914 .503 .130 .002 .001 .124 .432 .771 .995 .892 .481 .119 .000 .002 .118 .433 .773 .977 .856 .449 .105 .000 .001 .118 .440 .784 .974 .836 .432 .101 .000 .000 .121 .446 .790 .966 .818 .423 .105 .000 946 -.844 4246 5.219 10.49344 .007667 2.795923 -.012317 Correlation Surface at 1046 4246 .322 .427 .451 .842 .968 .108 .010 .008 .002 .364 .556 .563 .908 1.000 .124 .027 .023 .003 .366 .623 .619 .884 .923 .132 .053 .055 .008 .335 .600 .583 .759 .752 .120 .081 .109 .020 .302 .517 .474 .572 .548 .088 .095 .172 .043 .285 .430 .340 .383 .359 .048 .083 .223 .070 r_peak,r_snr = .1566223 5.60678 Correlation Surface of oversamples image at 1046 4246 .021 .117 .393 .759 .818 .503 .195 .059 .021 .015 .113 .417 .820 .876 .539 .219 .072 .025 .013 .118 .458 .895 .940 .576 .244 .090 .035 .013 .126 .496 .961 .990 .598 .261 .109 .050 .014 .132 .517 .989 1.000 .592 .260 .120 .066 .016 .135 .522 .988 .979 .565 .248 .126 .084 .021 .139 .517 .966 .943 .533 .233 .131 .107 .029 .141 .498 .920 .887 .491 .215 .133 .132 .036 .137 .459 .838 .799 .434 .188 .129 .152 1046 -.250 4246 -15.719 5.60678 .011137 1.195451 -.005506 Correlation Surface at 1146 4246 .412 .575 .587 .632 .612 .478 .444 .502 .569 .375 .529 .568 .693 .728 .490 .411 .484 .564 .344 .476 .537 .729 .848 .529 .394 .476 .581 .322 .433 .500 .723 .947 .603 .410 .492 .619 .310 .407 .459 .669 1.000 .706 .463 .538 .679 .308 .400 .421 .584 .994 .813 .547 .612 .751 .314 .408 .392 .495 .939 .891 .639 .701 .818 r_peak,r_snr = .3505915 2.21422 Correlation Surface of oversamples image at 1146 4246 9.712 10.071 11.343 13.097 10.283 10.655 11.918 13.593 10.638 11.057 12.331 13.928 11.059 11.560 12.887 14.437 1146 5.813 4246 15.813 2.21422 .032050 .968201 -.158326 Correlation Surface at 1246 4246 .309 .225 .375 .737 .909 .370 .110 .199 .297 .342 .242 .384 .729 .925 .368 .095 .211 .286 .391 .275 .407 .758 .943 .361 .091 .210 .255 .453 .333 .441 .815 .972 .348 .096 .198 .207 .519 .416 .478 .875 1.000 .316 .103 .181 .150 .572 .517 .512 .909 .998 .260 .100 .159 .097 .596 .621 .544 .910 .949 .185 .083 .134 .053 .591 .695 .578 .885 .847 .115 .057 .107 .027 .572 .721 .614 .848 .711 .067 .033 .081 .015 r_peak,r_snr = .2062182 5.00058 Correlation Surface of oversamples image at 1246 4246 1.063 1.361 2.181 3.342 4.000 3.491 2.327 1.376 .838 1.052 1.329 2.120 3.272 3.993 3.573 2.406 1.396 .837 1.035 1.291 2.056 3.203 3.980 3.640 2.479 1.421 .842 1.014 1.255 2.000 3.137 3.948 3.668 2.520 1.430 .837 .996 1.225 1.954 3.080 3.906 3.663 2.526 1.422 .822 1246 .563 4246 -3.781 5.00058 .058869 10.800892 .719970 Correlation Surface at 1346 4246 .098 .240 .423 .721 .921 .672 .397 .193 .029 .142 .282 .483 .788 .939 .682 .402 .193 .033 .190 .320 .529 .851 .962 .679 .396 .189 .037 .230 .334 .534 .887 .985 .671 .380 .181 .038 .248 .313 .487 .882 1.000 .667 .365 .173 .037 .240 .269 .408 .831 .996 .668 .358 .165 .036 .218 .223 .329 .749 .964 .671 .358 .158 .038 .191 .189 .269 .658 .901 .672 .362 .151 .045 .165 .170 .237 .583 .821 .658 .364 .147 .059 r_peak,r_snr = .3288416 4.78682 Correlation Surface of oversamples image at 1346 4246 1.044 1.602 2.454 3.432 4.000 3.643 2.595 1.632 1.064 1.144 1.708 2.533 3.453 3.973 3.610 2.580 1.622 1.058 1.254 1.821 2.617 3.474 3.943 3.574 2.566 1.623 1.070 1.357 1.926 2.688 3.474 3.884 3.509 2.532 1.618 1.083 1.442 2.013 2.743 3.460 3.808 3.427 2.487 1.611 1.099 1346 .063 4246 5.219 4.78682 .018148 6.232822 -.185858 Correlation Surface at 1446 4246 .574 .528 .500 .601 .522 .164 .155 .241 .396 .502 .488 .551 .692 .601 .208 .183 .295 .461 .427 .468 .615 .827 .753 .298 .215 .348 .527 .374 .464 .661 .939 .914 .413 .240 .372 .561 .357 .468 .659 .951 1.000 .515 .251 .353 .539 .372 .465 .600 .829 .958 .575 .250 .304 .468 .398 .443 .500 .626 .810 .578 .238 .250 .382 .411 .401 .398 .438 .641 .546 .222 .213 .318 .398 .345 .315 .322 .514 .509 .214 .201 .295 r_peak,r_snr = .219903 3.67878 Correlation Surface of oversamples image at 1446 4246 .707 .729 .745 .762 .767 .711 .540 .300 .105 .701 .739 .775 .818 .844 .793 .615 .356 .133 .700 .745 .799 .868 .917 .877 .699 .423 .170 .700 .748 .812 .903 .974 .949 .780 .496 .213 .700 .745 .812 .914 1.000 .992 .845 .568 .261 .698 .732 .794 .896 .987 .997 .883 .629 .310 .691 .707 .754 .843 .930 .956 .885 .668 .349 .675 .669 .693 .761 .834 .875 .849 .680 .375 .659 .631 .630 .671 .727 .778 .798 .684 .399 1446 -5.750 4246 -.250 3.67878 .035098 .481447 -.080518 Correlation Surface at 1546 4246 .080 .293 .512 .533 .413 .226 .116 .059 .054 .081 .239 .451 .586 .581 .328 .116 .044 .044 .081 .196 .405 .647 .769 .444 .122 .035 .036 .079 .172 .382 .700 .926 .548 .135 .031 .028 .077 .166 .378 .732 1.000 .602 .150 .032 .024 .076 .172 .382 .736 .974 .591 .160 .041 .028 .077 .184 .380 .714 .879 .530 .163 .060 .043 .080 .193 .365 .674 .766 .449 .161 .095 .078 r_peak,r_snr = .2962836 6.80097 Correlation Surface of oversamples image at 1546 4246 .317 .473 .612 .704 .738 .672 .492 .298 .178 .302 .471 .637 .767 .832 .771 .567 .339 .192 .292 .469 .656 .819 .911 .855 .632 .374 .206 .290 .471 .672 .859 .970 .915 .677 .400 .217 .294 .475 .681 .880 1.000 .940 .694 .411 .222 .299 .478 .681 .881 .997 .928 .681 .405 .222 .307 .478 .674 .864 .967 .886 .644 .384 .216 .317 .481 .667 .841 .922 .828 .592 .354 .206 .326 .482 .659 .812 .867 .758 .530 .318 .194 1546 2.094 4246 11.219 6.80097 .008229 .291262 -.001656 Correlation Surface at 1746 4246 .016 .041 .047 .074 .007 .298 .407 .024 .155 .294 .307 .015 .433 .420 .023 .269 .675 .646 .027 .548 .450 .018 .313 .964 .899 .028 .566 .463 .018 .285 1.000 .924 .015 .451 .408 .032 .233 .826 .736 .002 .260 .277 .078 .208 .592 .475 .001 .100 .134 .169 .223 .401 .252 .003 .027 .041 .279 .262 .270 .105 .000 .011 .008 r_peak,r_snr = 9.76769E-02 4.62542 Correlation Surface of oversamples image at 1746 4246 .018 .052 .117 .293 .466 .337 .069 .011 .117 .018 .073 .187 .432 .645 .479 .118 .005 .126 .015 .089 .252 .559 .798 .602 .166 .002 .126 .014 .103 .311 .669 .924 .707 .217 .000 .107 .014 .110 .350 .742 1.000 .770 .256 .002 .078 .011 .103 .352 .750 .997 .762 .264 .006 .051 .009 .090 .327 .712 .939 .705 .249 .011 .028 .011 .083 .302 .668 .876 .646 .235 .019 .008 .016 .077 .270 .607 .796 .574 .213 .028 .000 1746 -12.469 4246 -2.750 4.62542 .049836 .914237 .006785 Correlation Surface at 1846 4246 .736 .825 .910 .955 .999 .888 .746 .665 .644 .754 .817 .899 .948 1.000 .906 .753 .656 .629 .785 .815 .882 .924 .965 .898 .751 .644 .613 .809 .812 .863 .886 .893 .856 .738 .631 .603 .808 .804 .842 .840 .800 .792 .715 .618 .603 .782 .790 .818 .788 .710 .729 .689 .607 .613 r_peak,r_snr = .6691982 1.56275 Correlation Surface of oversamples image at 1846 4246 16.000 15.718 14.959 14.239 13.342 15.726 15.346 14.565 13.934 13.251 15.458 14.976 14.184 13.643 13.159 15.202 14.625 13.840 13.386 13.068 14.963 14.298 13.537 13.165 12.969 1846 -7.781 4246 -17.781 1.56275 .009348 .105609 -.008963 Correlation Surface at 1946 4246 .007 .072 .029 .394 .467 .350 .017 .044 .042 .479 .606 .385 .029 .023 .047 .539 .785 .479 .039 .010 .042 .543 .939 .602 .049 .003 .032 .487 1.000 .695 .061 .001 .022 .386 .925 .695 .080 .000 .016 .276 .756 .608 .110 .002 .017 .190 .558 .488 .153 .008 .025 .135 .385 .375 r_peak,r_snr = .1623745 7.56815 Correlation Surface of oversamples image at 1946 4246 .150 .444 .686 .803 .838 .720 .491 .272 .137 .145 .445 .718 .867 .911 .773 .517 .281 .136 .140 .439 .736 .915 .968 .819 .545 .296 .140 .129 .418 .729 .933 .997 .846 .568 .312 .147 .117 .388 .702 .926 1.000 .856 .586 .329 .157 .108 .358 .668 .903 .988 .858 .602 .350 .172 .099 .325 .621 .862 .956 .843 .608 .367 .187 .085 .282 .555 .793 .894 .800 .594 .373 .196 .072 .240 .484 .711 .817 .740 .564 .368 .200 1946 12.938 4246 -10.844 7.56815 .029009 .815712 -.085460 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .003 .015 .011 .286 .798 .695 .350 .132 .009 .004 .015 .019 .334 .861 .758 .391 .140 .009 .007 .013 .027 .384 .926 .806 .427 .150 .008 .012 .010 .036 .428 .981 .824 .445 .153 .006 .019 .007 .041 .450 1.000 .796 .432 .142 .004 .027 .004 .040 .432 .958 .717 .392 .120 .002 .037 .004 .032 .371 .853 .606 .336 .096 .001 .047 .005 .019 .284 .708 .488 .282 .079 .000 .059 .011 .008 .199 .557 .385 .235 .068 .000 r_peak,r_snr = .3376248 10.23038 Correlation Surface of oversamples image at 146 4646 .079 .270 .574 .853 .938 .804 .579 .359 .188 .093 .299 .610 .885 .960 .822 .595 .371 .194 .109 .329 .648 .918 .980 .834 .606 .381 .200 .124 .358 .684 .947 .994 .839 .611 .388 .206 .138 .384 .716 .970 1.000 .835 .608 .391 .212 .150 .405 .743 .987 .999 .822 .599 .390 .216 .158 .421 .760 .993 .987 .802 .585 .387 .218 .160 .424 .760 .979 .957 .769 .562 .378 .218 .156 .416 .741 .945 .911 .724 .531 .364 .215 146 .281 4646 1.281 10.23039 .005486 .553413 .021422 Correlation Surface at 246 4646 .062 .217 .522 .857 .590 .159 .162 .303 .142 .057 .230 .555 .820 .698 .232 .194 .344 .151 .041 .229 .558 .771 .827 .344 .227 .351 .156 .023 .213 .526 .706 .942 .477 .249 .325 .158 .010 .185 .465 .622 1.000 .598 .251 .279 .154 .004 .148 .379 .518 .979 .662 .232 .228 .145 .002 .113 .288 .408 .887 .648 .198 .185 .135 .002 .088 .214 .312 .758 .578 .161 .152 .130 .005 .079 .167 .246 .634 .490 .125 .129 .132 r_peak,r_snr = .2487176 6.25851 Correlation Surface of oversamples image at 246 4646 .342 .392 .530 .738 .809 .606 .314 .142 .097 .295 .351 .515 .778 .894 .676 .338 .137 .082 .243 .302 .484 .792 .953 .729 .354 .127 .064 .190 .251 .442 .782 .986 .764 .360 .115 .048 .149 .209 .401 .760 1.000 .786 .361 .104 .036 .114 .172 .358 .724 .988 .787 .356 .093 .028 .079 .131 .305 .662 .943 .760 .337 .081 .021 .051 .096 .251 .590 .879 .717 .312 .068 .015 .041 .082 .225 .548 .842 .695 .301 .065 .015 246 1.531 4646 -2.281 6.25851 .034793 1.171189 -.173594 Correlation Surface at 346 4646 .198 .112 .010 .128 .334 .501 .167 .066 .124 .304 .171 .036 .283 .491 .482 .152 .046 .098 .380 .190 .062 .497 .701 .432 .139 .009 .042 .402 .169 .075 .688 .907 .353 .127 .004 .004 .369 .127 .068 .742 1.000 .253 .113 .046 .006 .299 .081 .044 .617 .907 .157 .097 .110 .032 .215 .043 .018 .388 .668 .084 .084 .162 .058 .141 .023 .003 .182 .395 .042 .083 .182 .075 .091 .018 .000 .064 .187 .029 .098 .179 .089 r_peak,r_snr = .1296832 11.6835 Correlation Surface of oversamples image at 346 4646 .002 .020 .211 .568 .647 .408 .193 .095 .041 .002 .029 .267 .704 .814 .519 .225 .086 .031 .001 .032 .297 .788 .934 .608 .245 .074 .021 .000 .030 .299 .815 .997 .665 .255 .061 .013 .000 .023 .272 .784 1.000 .688 .253 .048 .008 .001 .014 .225 .703 .945 .671 .239 .037 .004 .002 .007 .174 .600 .857 .632 .223 .030 .003 .004 .002 .125 .485 .743 .572 .205 .027 .005 .007 .000 .076 .356 .595 .478 .174 .023 .006 346 -3.594 4646 -5.781 11.68350 .021872 .669097 .046050 Correlation Surface at 446 4646 .056 .017 .088 .348 .668 .599 .596 .424 .103 .051 .006 .072 .344 .737 .622 .555 .442 .098 .049 .002 .067 .362 .837 .644 .499 .466 .108 .050 .003 .067 .384 .942 .679 .458 .501 .146 .057 .008 .070 .390 1.000 .723 .449 .540 .212 .069 .021 .076 .372 .965 .766 .486 .566 .290 .086 .043 .086 .342 .846 .791 .558 .564 .348 .105 .069 .101 .320 .697 .786 .638 .530 .365 .118 .093 .123 .324 .582 .755 .695 .474 .345 r_peak,r_snr = .2311305 4.22889 Correlation Surface of oversamples image at 446 4646 .374 .673 .882 .896 .820 .753 .731 .683 .557 .350 .643 .874 .928 .874 .804 .761 .699 .584 .325 .606 .856 .958 .934 .863 .795 .710 .599 .295 .558 .821 .971 .987 .917 .820 .706 .596 .252 .487 .747 .939 1.000 .937 .814 .671 .562 .206 .405 .648 .867 .973 .924 .782 .616 .506 .182 .352 .577 .812 .958 .925 .766 .579 .467 446 1.594 4646 3.750 4.22889 .008622 .656298 -.020465 Correlation Surface at 546 4646 .326 .278 .318 .546 .635 .508 .248 .141 .049 .355 .271 .324 .628 .739 .552 .261 .155 .055 .358 .264 .349 .730 .858 .612 .290 .171 .056 .331 .257 .384 .827 .956 .672 .339 .192 .057 .279 .248 .418 .886 1.000 .720 .407 .220 .058 .219 .234 .435 .883 .972 .744 .485 .255 .063 .167 .216 .427 .809 .878 .741 .562 .292 .074 .132 .196 .394 .684 .748 .716 .628 .327 .092 .112 .178 .349 .551 .624 .682 .676 .357 .115 r_peak,r_snr = .3665862 4.98779 Correlation Surface of oversamples image at 546 4646 .373 .510 .684 .813 .843 .791 .663 .502 .366 .383 .534 .725 .867 .901 .841 .698 .528 .386 .394 .556 .762 .913 .948 .881 .729 .553 .410 .405 .576 .791 .949 .982 .910 .755 .581 .437 .415 .592 .811 .969 1.000 .926 .775 .610 .470 .423 .602 .819 .973 .999 .926 .787 .637 .505 .428 .605 .814 .959 .980 .913 .791 .662 .542 .429 .599 .794 .928 .944 .885 .785 .681 .577 .427 .586 .763 .882 .895 .847 .772 .695 .608 546 -.125 4646 .250 4.98779 .012346 .301412 -.005028 Correlation Surface at 646 4646 .122 .021 .061 .329 .572 .317 .013 .022 .021 .113 .036 .031 .312 .737 .375 .007 .053 .090 .096 .039 .022 .307 .867 .384 .001 .106 .202 .077 .029 .023 .318 .958 .335 .003 .187 .325 .064 .020 .024 .336 1.000 .243 .031 .286 .416 .060 .020 .016 .332 .971 .140 .093 .377 .452 .071 .032 .003 .292 .874 .058 .182 .437 .439 .097 .056 .000 .226 .741 .013 .268 .445 .391 .139 .086 .007 .163 .625 .001 .305 .396 .324 r_peak,r_snr = .1783678 8.61284 Correlation Surface of oversamples image at 646 4646 .058 .134 .337 .693 .883 .676 .287 .039 .004 .051 .118 .325 .710 .929 .697 .272 .027 .010 .045 .108 .319 .730 .968 .708 .248 .015 .021 .039 .100 .317 .747 .995 .703 .216 .005 .039 .031 .090 .312 .753 1.000 .677 .176 .000 .068 .021 .077 .302 .746 .983 .634 .133 .005 .109 .013 .065 .291 .735 .957 .587 .097 .018 .155 .006 .051 .269 .705 .913 .531 .067 .039 .207 .001 .031 .227 .640 .832 .456 .038 .071 .270 646 -.031 4646 -8.656 8.61284 .014793 2.570890 .155193 Correlation Surface at 746 4646 .397 .789 .858 .411 .189 .434 .648 .266 .113 .424 .749 .962 .634 .368 .572 .634 .266 .148 .420 .682 .994 .836 .622 .710 .596 .265 .179 .402 .578 .887 .934 .872 .783 .511 .257 .204 .396 .445 .672 .901 1.000 .728 .378 .235 .214 .425 .320 .448 .772 .925 .535 .222 .198 .199 .496 .231 .293 .617 .692 .293 .094 .158 .160 .578 .187 .216 .504 .428 .102 .022 .116 .113 .609 .177 .192 .441 .224 .011 .000 .081 .075 r_peak,r_snr = .1346395 5.07307 Correlation Surface of oversamples image at 746 4646 .444 .287 .311 .515 .781 .878 .787 .651 .510 .435 .299 .344 .586 .869 .929 .785 .618 .481 .398 .290 .362 .641 .940 .957 .759 .565 .433 .336 .264 .362 .676 .986 .959 .712 .499 .372 .264 .228 .348 .686 1.000 .937 .654 .429 .311 .186 .182 .317 .663 .972 .883 .582 .357 .252 .112 .131 .270 .604 .896 .793 .493 .282 .192 .054 .084 .213 .515 .780 .675 .395 .208 .136 .020 .049 .159 .415 .648 .553 .304 .147 .094 746 4.188 4646 3.250 5.07307 .152202 .510902 .063682 Correlation Surface at 846 4646 .661 .683 .841 .927 .836 .746 .730 .722 .598 .659 .681 .847 .962 .900 .789 .758 .732 .594 .646 .663 .823 .965 .952 .828 .780 .739 .587 .622 .633 .775 .936 .986 .857 .786 .737 .581 .588 .594 .719 .886 1.000 .874 .774 .722 .581 .548 .553 .665 .828 .996 .880 .749 .694 .586 .509 .516 .621 .779 .982 .880 .721 .657 .594 .475 .488 .591 .748 .963 .877 .697 .620 .598 .450 .468 .575 .737 .944 .870 .685 .590 .594 r_peak,r_snr = .5784417 2.02372 Correlation Surface of oversamples image at 846 4646 .732 .867 .961 .978 .950 .913 .874 .817 .758 .712 .852 .957 .988 .972 .940 .896 .829 .763 .690 .830 .944 .989 .988 .961 .913 .836 .762 .667 .804 .923 .983 .997 .978 .926 .838 .755 .645 .778 .899 .971 1.000 .990 .934 .835 .742 .626 .753 .872 .955 .998 .997 .939 .829 .725 .610 .731 .847 .936 .992 1.000 .939 .819 .704 .599 .714 .825 .917 .984 1.000 .938 .809 .682 .592 .703 .809 .903 .976 .999 .937 .799 .661 846 .250 4646 -2.594 2.02372 .043954 1.704612 -.250949 Correlation Surface at 946 4646 .200 .138 .070 .342 .269 .102 .003 .013 .012 .215 .165 .113 .500 .443 .178 .001 .036 .016 .207 .150 .131 .666 .665 .259 .000 .062 .017 .180 .100 .119 .797 .878 .319 .000 .075 .009 .142 .047 .089 .816 1.000 .350 .000 .058 .000 .100 .016 .059 .680 .972 .375 .007 .019 .019 .065 .007 .039 .451 .810 .412 .047 .000 .089 .040 .009 .034 .253 .612 .479 .152 .023 .195 .026 .023 .044 .156 .484 .579 .331 .076 .278 r_peak,r_snr = .1207761 6.50221 Correlation Surface of oversamples image at 946 4646 .020 .092 .266 .488 .639 .586 .374 .162 .019 .013 .091 .296 .565 .753 .685 .415 .164 .016 .008 .093 .330 .645 .870 .788 .463 .174 .018 .004 .094 .356 .707 .962 .874 .507 .189 .024 .001 .085 .358 .726 1.000 .917 .532 .202 .033 .000 .073 .341 .705 .986 .918 .540 .216 .049 .001 .069 .327 .671 .950 .907 .553 .246 .082 .001 .065 .302 .612 .880 .870 .562 .284 .131 .003 .052 .251 .510 .757 .783 .537 .306 .179 946 .656 4646 9.656 6.50221 .037396 1.197884 -.078218 Correlation Surface at 1046 4646 .002 .006 .069 .410 .616 .253 .090 .000 .018 .000 .002 .056 .462 .788 .315 .106 .005 .001 .003 .000 .053 .509 .930 .369 .116 .016 .006 .012 .000 .060 .544 1.000 .398 .121 .033 .024 .025 .000 .079 .565 .971 .383 .117 .052 .037 .041 .000 .113 .563 .843 .328 .104 .073 .044 .056 .000 .155 .528 .648 .251 .086 .099 .054 .065 .000 .187 .456 .443 .170 .068 .127 .078 r_peak,r_snr = .1958159 9.53374 Correlation Surface of oversamples image at 1046 4646 .018 .003 .237 .883 .703 .199 .017 .001 .053 .090 .031 .186 .920 .811 .258 .026 .001 .064 .205 .084 .141 .936 .917 .336 .044 .000 .064 .338 .146 .103 .917 .985 .411 .070 .000 .050 .476 .215 .066 .849 1.000 .469 .102 .005 .031 .615 .300 .029 .720 .954 .509 .135 .014 .017 .726 .388 .005 .561 .860 .524 .167 .027 .007 .764 .446 .000 .415 .748 .521 .198 .046 .001 .737 .479 .011 .277 .613 .487 .214 .065 .001 1046 -8.750 4646 -12.531 9.53374 .008444 .861550 .010070 Correlation Surface at 1246 4646 .494 .849 .259 .024 .504 .327 .055 .005 .192 .451 .767 .210 .049 .576 .282 .036 .013 .159 .375 .676 .172 .105 .718 .290 .037 .029 .087 .287 .580 .146 .176 .882 .343 .059 .053 .023 .211 .490 .127 .233 1.000 .411 .100 .073 .000 .164 .408 .110 .248 .999 .458 .148 .077 .008 .149 .334 .090 .219 .898 .486 .182 .058 .012 .157 .268 .069 .166 .759 .507 .188 .027 .003 .161 .208 .052 .110 .637 .528 .161 .003 .004 r_peak,r_snr = .1332321 4.29482 Correlation Surface of oversamples image at 1246 4646 .199 .024 .058 .463 .908 .874 .505 .199 .069 .233 .026 .069 .507 .951 .888 .504 .202 .074 .274 .029 .079 .547 .980 .887 .499 .206 .081 .308 .030 .092 .585 1.000 .881 .500 .220 .095 .333 .031 .103 .613 1.000 .858 .496 .237 .114 .352 .033 .107 .616 .969 .812 .478 .246 .128 .360 .036 .105 .600 .921 .757 .455 .251 .137 .338 .033 .106 .582 .877 .720 .448 .266 .153 .294 .027 .107 .556 .831 .690 .449 .285 .170 1246 .125 4646 -11.406 4.29482 .010385 1.428286 -.005297 Correlation Surface at 1346 4646 .219 .399 .447 .517 .872 .898 .687 .569 .402 .191 .364 .438 .541 .899 .908 .686 .546 .408 .174 .343 .451 .594 .940 .930 .702 .542 .425 .168 .335 .481 .667 .980 .948 .726 .559 .452 .168 .337 .523 .739 1.000 .943 .744 .587 .484 .168 .336 .562 .784 .985 .905 .742 .616 .507 .165 .323 .581 .784 .928 .840 .715 .630 .509 .157 .298 .567 .739 .841 .761 .674 .625 .487 .148 .269 .527 .670 .747 .688 .637 .606 .454 r_peak,r_snr = .3620411 3.37823 Correlation Surface of oversamples image at 1346 4646 .389 .483 .642 .843 .954 .897 .753 .614 .534 .401 .500 .662 .863 .970 .907 .760 .618 .529 .415 .520 .682 .881 .984 .917 .769 .625 .530 .433 .541 .703 .898 .994 .923 .777 .634 .533 .454 .564 .723 .912 1.000 .925 .783 .644 .541 .475 .586 .741 .921 .998 .920 .787 .656 .555 .496 .605 .753 .921 .988 .908 .785 .668 .571 .514 .619 .760 .915 .968 .886 .777 .675 .585 .529 .629 .761 .902 .942 .859 .762 .677 .598 1346 .500 4646 -.750 3.37823 .058270 1.902826 .276364 Correlation Surface at 1446 4646 .232 .216 .212 .331 .520 .668 .490 .315 .210 .233 .219 .235 .464 .709 .803 .552 .316 .232 .227 .219 .252 .583 .882 .913 .588 .299 .230 .214 .221 .267 .648 .987 .982 .602 .272 .202 .188 .219 .280 .642 1.000 .997 .595 .244 .160 .151 .207 .287 .589 .943 .955 .569 .224 .120 .109 .184 .281 .516 .844 .858 .523 .215 .092 .070 .154 .260 .449 .736 .725 .460 .220 .086 .039 .121 .223 .401 .649 .583 .392 .234 .108 r_peak,r_snr = .2353172 4.52888 Correlation Surface of oversamples image at 1446 4646 .235 .373 .578 .801 .918 .823 .608 .386 .215 .251 .401 .611 .836 .956 .858 .641 .413 .231 .264 .420 .632 .858 .980 .883 .666 .438 .245 .276 .432 .645 .872 .995 .899 .684 .456 .256 .285 .437 .649 .877 1.000 .906 .692 .465 .261 .288 .432 .641 .868 .988 .895 .684 .459 .255 .289 .424 .630 .853 .967 .873 .664 .442 .241 .296 .425 .629 .850 .954 .858 .649 .426 .229 .304 .429 .633 .847 .939 .839 .629 .406 .214 1446 .531 4646 -9.000 4.52888 .041287 1.091887 -.037154 Correlation Surface at 1546 4646 .296 .317 .563 .996 .962 .514 .163 .006 .004 .336 .353 .564 .982 .983 .530 .177 .014 .001 .352 .381 .555 .948 .995 .553 .188 .023 .000 .339 .392 .536 .902 1.000 .579 .195 .033 .000 .306 .388 .506 .853 1.000 .602 .202 .041 .000 .266 .371 .467 .809 .999 .616 .205 .046 .001 .233 .343 .429 .773 .995 .616 .204 .049 .002 .213 .311 .398 .747 .986 .608 .202 .051 .003 .207 .285 .382 .727 .970 .600 .203 .054 .004 r_peak,r_snr = .3792026 4.97251 Correlation Surface of oversamples image at 1546 4646 .330 .499 .738 .923 .976 .877 .632 .341 .140 .315 .480 .720 .915 .979 .891 .651 .356 .148 .299 .459 .702 .907 .983 .904 .669 .370 .156 .285 .442 .689 .905 .992 .920 .688 .387 .166 .273 .428 .677 .903 1.000 .934 .705 .401 .175 .259 .411 .661 .894 .999 .937 .713 .410 .182 .244 .393 .641 .877 .989 .932 .713 .415 .186 .239 .388 .633 .871 .991 .939 .724 .428 .195 1546 1.031 4646 7.781 4.97251 5.292861 ********** -86.034004 Correlation Surface at 1646 4646 .481 .585 .651 .799 .964 .889 .808 .670 .470 .507 .610 .686 .830 .980 .894 .810 .682 .482 .535 .635 .722 .863 .990 .900 .814 .687 .490 .561 .653 .748 .891 .996 .913 .821 .685 .495 .584 .663 .759 .906 1.000 .932 .832 .677 .497 .601 .666 .754 .904 .997 .949 .840 .661 .497 .613 .667 .734 .883 .986 .958 .837 .640 .494 .616 .669 .711 .852 .967 .952 .824 .617 .488 .611 .672 .691 .820 .945 .931 .805 .596 .481 r_peak,r_snr = .7032363 2.24766 Correlation Surface of oversamples image at 1646 4646 .750 .810 .887 .961 .995 .983 .939 .893 .865 .749 .811 .886 .960 .997 .987 .940 .888 .856 .751 .817 .891 .962 .999 .989 .940 .883 .847 .756 .826 .898 .965 1.000 .988 .937 .875 .833 .762 .838 .908 .970 .999 .984 .929 .864 .815 .769 .850 .919 .974 .997 .976 .919 .850 .794 .778 .862 .930 .979 .995 .967 .907 .836 .773 .786 .874 .940 .985 .992 .958 .896 .822 .754 1646 .125 4646 -1.781 2.24766 .009043 2.334898 -.088880 Correlation Surface at 1746 4646 .022 .340 .161 .062 .329 .094 .012 .078 .157 .008 .390 .297 .144 .459 .080 .009 .007 .077 .003 .386 .446 .296 .662 .097 .062 .009 .019 .003 .346 .575 .498 .876 .147 .089 .043 .000 .007 .292 .645 .693 1.000 .217 .054 .050 .011 r_peak,r_snr = .1330759 8.1801 Correlation Surface of oversamples image at 1746 4646 .186 .214 .349 .614 .764 .521 .156 .011 .001 .261 .305 .449 .715 .862 .600 .188 .014 .001 .342 .408 .555 .807 .942 .670 .222 .021 .000 .420 .509 .654 .879 .992 .716 .253 .030 .000 .482 .595 .733 .920 1.000 .726 .272 .040 .001 .520 .656 .786 .929 .967 .699 .276 .050 .004 .539 .696 .819 .917 .908 .647 .269 .059 .010 .538 .709 .823 .878 .824 .571 .245 .064 .017 .500 .676 .780 .796 .705 .466 .200 .058 .020 1746 -.094 4646 14.375 8.18010 .015820 .915608 .026386 Correlation Surface at 1846 4646 .126 .159 .311 .555 .619 .545 .495 .355 .159 .105 .140 .331 .651 .739 .637 .557 .374 .160 .095 .141 .377 .763 .866 .733 .596 .353 .148 .096 .163 .436 .852 .964 .812 .609 .292 .119 .109 .202 .492 .889 1.000 .854 .605 .216 .080 .130 .250 .534 .870 .962 .847 .595 .153 .044 .156 .296 .555 .818 .864 .790 .585 .114 .022 .184 .335 .555 .767 .755 .705 .577 .099 .012 .209 .364 .544 .738 .670 .617 .564 .102 .010 r_peak,r_snr = .2936344 5.05527 Correlation Surface of oversamples image at 1846 4646 .205 .359 .551 .733 .858 .891 .794 .620 .486 .229 .394 .595 .785 .912 .937 .831 .654 .512 .257 .430 .637 .832 .956 .970 .857 .683 .536 .290 .466 .675 .870 .987 .986 .868 .704 .558 .323 .500 .705 .897 1.000 .981 .860 .712 .573 .356 .528 .727 .910 .996 .958 .836 .708 .582 .391 .555 .745 .918 .984 .924 .802 .695 .589 .424 .579 .759 .918 .962 .880 .757 .671 .587 .448 .589 .758 .905 .925 .822 .696 .629 .570 1846 -.281 4646 -7.656 5.05527 .048762 .528534 -.011241 Correlation Surface at 1946 4646 .002 .003 .006 .236 .439 .142 .023 .037 .046 .005 .010 .017 .404 .651 .258 .033 .025 .073 .030 .010 .046 .593 .860 .383 .051 .024 .108 .054 .004 .090 .715 .997 .473 .080 .036 .147 .056 .000 .126 .687 1.000 .504 .120 .067 .188 .038 .001 .130 .518 .871 .504 .175 .118 .230 .016 .002 .096 .289 .668 .507 .248 .172 .265 .003 .002 .048 .105 .466 .547 .338 .197 .269 .001 .001 .014 .018 .321 .638 .427 .176 .233 r_peak,r_snr = .1720109 5.70031 Correlation Surface of oversamples image at 1946 4646 .007 .166 .441 .644 .685 .521 .259 .079 .013 .014 .207 .533 .774 .817 .621 .318 .107 .023 .024 .236 .592 .870 .924 .702 .369 .134 .036 .033 .248 .608 .914 .990 .758 .405 .158 .052 .039 .234 .570 .892 1.000 .779 .424 .177 .069 .038 .195 .481 .801 .950 .765 .429 .191 .085 .030 .142 .363 .665 .859 .732 .430 .206 .102 .022 .090 .246 .517 .752 .698 .439 .229 .124 .012 .044 .140 .365 .628 .654 .452 .257 .146 1946 -1.094 4646 -6.219 5.70031 .024179 .705458 -.064308 Correlation Surface at 2046 4646 .066 .000 .156 .577 .540 .165 .000 .056 .027 .134 .003 .182 .783 .717 .186 .000 .070 .053 .172 .006 .187 .927 .868 .198 .000 .060 .071 .150 .006 .175 .958 .965 .206 .000 .031 .066 .081 .002 .148 .858 1.000 .220 .004 .006 .039 .016 .001 .106 .658 .975 .246 .012 .002 .009 .004 .014 .053 .425 .907 .297 .027 .021 .001 .065 .049 .009 .227 .818 .386 .047 .043 .020 .171 .103 .003 .098 .725 .504 .068 .049 .049 r_peak,r_snr = .1365352 6.9507 Correlation Surface of oversamples image at 2046 4646 .129 .390 .716 .889 .828 .621 .368 .148 .026 .128 .387 .734 .952 .910 .679 .394 .154 .026 .125 .372 .727 .984 .967 .723 .412 .156 .026 .119 .349 .698 .983 .995 .752 .426 .158 .027 .114 .323 .653 .955 1.000 .770 .439 .162 .029 .108 .296 .599 .905 .983 .780 .453 .170 .034 .100 .264 .535 .833 .944 .780 .468 .181 .040 .088 .227 .459 .738 .879 .766 .482 .196 .048 .074 .189 .380 .630 .796 .743 .501 .218 .061 2046 -11.750 4646 -10.531 6.95070 .080470 7.630592 -.688428 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .036 .000 .141 .692 .895 .655 .269 .082 .044 .037 .000 .132 .723 .964 .745 .302 .066 .024 .035 .000 .114 .700 1.000 .826 .326 .051 .010 .028 .000 .091 .618 .970 .879 .342 .039 .003 .019 .001 .066 .500 .864 .884 .352 .033 .001 .011 .003 .042 .380 .710 .829 .357 .034 .000 .006 .005 .023 .288 .559 .730 .360 .043 .001 r_peak,r_snr = .2802245 6.2354 Correlation Surface of oversamples image at 146 5046 .307 .565 .755 .854 .884 .815 .617 .362 .175 .291 .559 .773 .890 .927 .853 .642 .371 .169 .267 .539 .775 .916 .963 .887 .663 .376 .163 .237 .504 .758 .924 .989 .917 .682 .380 .157 .205 .459 .723 .913 1.000 .939 .699 .383 .152 .175 .411 .674 .881 .992 .952 .715 .388 .150 .147 .361 .614 .829 .964 .951 .726 .393 .150 .121 .311 .545 .757 .912 .931 .728 .398 .152 .097 .262 .471 .669 .834 .887 .719 .400 .156 146 .563 5046 -12.125 6.23540 .041629 1.078742 -.162645 Correlation Surface at 246 5046 .055 .372 .660 .693 .654 .215 .186 .139 .168 .080 .336 .733 .770 .768 .264 .260 .200 .167 .122 .291 .733 .852 .884 .336 .334 .276 .199 .180 .255 .667 .933 .967 .410 .390 .340 .250 .235 .243 .584 .988 1.000 .456 .410 .371 .298 .269 .262 .512 .998 .982 .451 .393 .361 .317 .274 .297 .464 .966 .937 .398 .353 .321 .295 .260 .326 .432 .893 .879 .326 .308 .268 .242 .239 .327 .396 .768 .818 .271 .271 .210 .181 r_peak,r_snr = .1673707 3.77158 Correlation Surface of oversamples image at 246 5046 .631 .708 .785 .914 .895 .615 .345 .280 .324 .615 .734 .817 .942 .944 .682 .398 .320 .369 .585 .748 .844 .964 .980 .738 .447 .355 .405 .548 .751 .866 .978 .999 .776 .485 .383 .427 .512 .747 .881 .985 1.000 .792 .508 .397 .436 .480 .737 .893 .987 .989 .786 .512 .398 .431 .449 .720 .897 .983 .965 .760 .495 .382 .410 .422 .696 .891 .973 .932 .717 .462 .354 .378 .412 .681 .891 .972 .905 .674 .424 .322 .345 246 -11.188 5046 -6.813 3.77158 .034974 4.598976 .008779 Correlation Surface at 446 5046 .007 .097 .214 .220 .239 .466 .300 .024 .023 .001 .096 .293 .311 .418 .560 .313 .046 .005 .000 .089 .357 .414 .660 .689 .327 .067 .002 .000 .075 .366 .490 .888 .802 .328 .076 .025 .002 .057 .307 .497 1.000 .840 .298 .066 .062 .014 .040 .207 .429 .964 .770 .228 .037 .075 .040 .027 .106 .317 .821 .614 .138 .007 .053 .075 .021 .037 .211 .647 .427 .061 .001 .019 .109 .023 .008 .141 .504 .263 .017 .021 .001 r_peak,r_snr = .1872912 12.75399 Correlation Surface of oversamples image at 446 5046 .330 .289 .346 .485 .620 .636 .509 .346 .215 .381 .372 .466 .635 .764 .738 .560 .359 .219 .422 .448 .580 .771 .890 .827 .600 .362 .211 .443 .504 .668 .870 .976 .882 .615 .346 .187 .433 .524 .710 .912 1.000 .883 .589 .304 .145 .401 .514 .709 .902 .970 .837 .533 .246 .097 .366 .493 .691 .866 .910 .767 .468 .192 .058 .326 .459 .652 .800 .818 .671 .393 .141 .029 .269 .399 .577 .694 .684 .542 .300 .089 .007 446 -.500 5046 .438 12.75399 .021824 .425474 -.008836 Correlation Surface at 546 5046 .083 .014 .015 .209 .708 .393 .020 .017 .109 .073 .023 .037 .269 .801 .433 .025 .015 .086 .064 .037 .066 .332 .902 .470 .030 .011 .066 .057 .054 .093 .380 .980 .497 .032 .007 .053 .051 .065 .110 .399 1.000 .503 .034 .006 .048 .046 .067 .121 .393 .953 .480 .034 .008 .052 .042 .061 .127 .373 .856 .429 .033 .014 .066 .039 .051 .132 .351 .744 .362 .028 .025 .093 .034 .039 .132 .331 .643 .293 .019 .038 .130 r_peak,r_snr = .2654009 11.18708 Correlation Surface of oversamples image at 546 5046 .046 .134 .337 .645 .894 .839 .482 .134 .011 .057 .151 .363 .680 .931 .874 .509 .147 .013 .068 .166 .385 .710 .964 .906 .534 .159 .016 .080 .179 .403 .734 .988 .929 .554 .171 .019 .091 .189 .415 .748 1.000 .941 .567 .181 .022 .101 .197 .421 .752 .998 .938 .571 .188 .025 .108 .202 .421 .744 .980 .919 .561 .189 .027 .114 .205 .417 .726 .948 .884 .540 .184 .028 .121 .211 .414 .707 .911 .844 .514 .177 .029 546 .188 5046 -1.219 11.18709 .004272 .856451 .007769 Correlation Surface at 746 5046 .111 .241 .037 .335 .466 .001 .075 .038 .012 .056 .115 .008 .403 .538 .001 .097 .011 .026 .027 .029 .014 .556 .695 .002 .133 .003 .030 .015 .002 .108 .740 .884 .000 .157 .001 .017 .009 .000 .200 .819 1.000 .002 .145 .001 .002 .008 .001 .176 .680 .961 .010 .110 .001 .002 .012 .010 .077 .383 .777 .016 .076 .003 .013 .024 .026 .008 .115 .527 .018 .053 .006 .021 .049 .036 .003 .003 .289 .013 .044 .008 .013 r_peak,r_snr = .118209 8.27323 Correlation Surface of oversamples image at 746 5046 .013 .013 .168 .521 .789 .526 .068 .065 .271 .000 .057 .258 .611 .880 .616 .101 .051 .286 .009 .128 .367 .699 .951 .696 .141 .035 .288 .030 .210 .470 .765 .996 .767 .191 .019 .274 .053 .280 .542 .791 1.000 .813 .241 .007 .252 .068 .317 .556 .751 .937 .803 .270 .002 .236 .071 .313 .510 .650 .815 .744 .274 .001 .232 .071 .288 .433 .526 .680 .675 .274 .000 .224 .066 .242 .332 .384 .533 .592 .263 .000 .220 746 6.563 5046 4.844 8.27323 .011250 1.164118 -.043486 Correlation Surface at 846 5046 .463 .449 .554 .779 .789 .636 .531 .490 .373 .467 .476 .582 .793 .850 .677 .538 .476 .379 .476 .514 .629 .819 .915 .715 .541 .467 .390 .491 .556 .681 .846 .969 .744 .539 .462 .404 .511 .596 .724 .866 1.000 .760 .536 .462 .416 .538 .632 .748 .875 1.000 .765 .537 .470 .426 .565 .660 .750 .869 .969 .758 .544 .488 .429 .585 .677 .735 .843 .911 .739 .554 .508 .426 .593 .680 .709 .796 .836 .710 .562 .521 .413 r_peak,r_snr = .5785084 2.35634 Correlation Surface of oversamples image at 846 5046 .618 .699 .820 .924 .928 .830 .688 .553 .450 .633 .711 .835 .946 .955 .853 .702 .560 .452 .649 .723 .848 .964 .978 .873 .714 .567 .455 .665 .734 .857 .976 .993 .888 .725 .572 .458 .676 .740 .860 .980 1.000 .896 .730 .575 .460 .684 .743 .858 .976 .998 .896 .731 .575 .462 .692 .743 .853 .968 .990 .892 .731 .576 .465 .696 .741 .843 .951 .973 .881 .726 .575 .467 .693 .730 .824 .924 .944 .859 .712 .568 .466 846 -.188 5046 3.531 2.35634 .003471 .284178 .001186 Correlation Surface at 946 5046 .116 .109 .221 .631 .759 .354 .128 .069 .075 .063 .062 .177 .628 .840 .333 .088 .050 .068 .027 .030 .147 .612 .928 .333 .067 .036 .057 .010 .013 .122 .566 .987 .352 .062 .031 .046 .006 .006 .098 .496 1.000 .387 .074 .036 .039 .009 .003 .073 .415 .972 .437 .101 .060 .040 .019 .002 .052 .338 .916 .500 .147 .112 .051 .040 .003 .039 .278 .855 .578 .211 .195 .071 .064 .006 .036 .242 .814 .675 .287 .294 .099 r_peak,r_snr = .1934363 5.93766 Correlation Surface of oversamples image at 946 5046 .016 .109 .366 .730 .862 .581 .213 .042 .005 .015 .108 .375 .763 .916 .631 .237 .046 .004 .013 .107 .378 .782 .959 .680 .266 .054 .005 .012 .103 .374 .786 .988 .729 .304 .069 .008 .010 .095 .358 .770 1.000 .775 .348 .090 .016 .006 .080 .326 .728 .984 .808 .392 .118 .028 .003 .062 .282 .663 .945 .827 .438 .151 .046 .000 .045 .237 .594 .902 .850 .495 .199 .077 .000 .029 .192 .523 .854 .873 .560 .261 .123 946 .000 5046 -11.000 5.93766 .039306 7.129926 -.474914 Correlation Surface at 1046 5046 .197 .014 .030 .359 .620 .714 .424 .097 .018 .191 .020 .033 .409 .717 .673 .391 .113 .029 .187 .026 .036 .462 .832 .645 .347 .118 .038 .186 .032 .041 .511 .938 .630 .302 .109 .041 .187 .038 .048 .547 1.000 .621 .262 .090 .038 .186 .043 .057 .559 .992 .605 .233 .071 .034 .181 .050 .070 .547 .915 .574 .214 .058 .032 .175 .061 .089 .516 .794 .523 .202 .052 .035 .172 .080 .113 .472 .662 .455 .193 .054 .043 r_peak,r_snr = .3045305 7.17386 Correlation Surface of oversamples image at 1046 5046 .031 .152 .423 .743 .907 .836 .645 .457 .312 .032 .156 .436 .774 .946 .861 .648 .447 .300 .033 .159 .446 .798 .978 .884 .654 .442 .291 .034 .162 .453 .811 .997 .900 .660 .439 .284 .035 .163 .453 .811 1.000 .905 .663 .437 .276 .036 .164 .450 .801 .990 .902 .664 .434 .269 .038 .165 .446 .787 .973 .895 .665 .435 .264 .039 .164 .435 .761 .943 .878 .661 .434 .260 .038 .157 .414 .720 .893 .841 .642 .423 .250 1046 .063 5046 2.344 7.17386 .005619 .545135 .014966 Correlation Surface at 1146 5046 .010 .069 .062 .160 .669 .359 .002 .000 .006 .000 .033 .046 .209 .820 .378 .003 .003 .004 .026 .006 .033 .250 .931 .378 .001 .003 .004 .105 .001 .027 .289 .993 .365 .000 .001 .007 .220 .016 .032 .329 1.000 .349 .005 .002 .013 .323 .035 .049 .359 .938 .335 .018 .013 .023 r_peak,r_snr = .1621195 12.12721 Correlation Surface of oversamples image at 1146 5046 .051 .112 .276 .566 .832 .790 .438 .126 .018 .043 .114 .304 .630 .904 .829 .452 .132 .020 .036 .113 .322 .678 .955 .851 .459 .137 .022 .031 .111 .337 .715 .986 .858 .459 .141 .026 .028 .112 .348 .739 1.000 .852 .455 .146 .030 .027 .114 .355 .747 .993 .833 .447 .150 .036 .030 .118 .357 .740 .965 .800 .434 .154 .044 .034 .125 .356 .715 .916 .754 .415 .156 .051 .042 .134 .349 .675 .848 .696 .391 .156 .058 1146 .063 5046 12.188 12.12721 .009773 2.867369 .077306 Correlation Surface at 1346 5046 .015 .023 .114 .413 .633 .531 .511 .452 .136 .022 .028 .130 .492 .769 .621 .490 .382 .117 .026 .033 .143 .558 .894 .715 .467 .311 .097 .024 .037 .144 .590 .978 .798 .450 .253 .083 .019 .037 .133 .581 1.000 .861 .442 .214 .076 .012 .033 .114 .527 .960 .900 .453 .199 .077 .007 .027 .091 .444 .877 .918 .494 .208 .087 .004 .022 .070 .354 .774 .913 .564 .243 .104 .003 .019 .054 .275 .670 .887 .656 .302 .127 r_peak,r_snr = .3080502 7.24254 Correlation Surface of oversamples image at 1346 5046 .180 .359 .582 .783 .865 .792 .644 .521 .447 .188 .374 .614 .831 .920 .841 .673 .526 .427 .190 .382 .634 .866 .961 .877 .696 .528 .408 .189 .384 .647 .890 .989 .904 .717 .534 .397 .184 .379 .648 .898 1.000 .920 .734 .542 .392 .173 .364 .633 .883 .987 .917 .742 .549 .388 .158 .341 .604 .849 .954 .900 .744 .557 .391 .143 .317 .569 .807 .914 .881 .751 .577 .406 .128 .290 .529 .757 .868 .859 .761 .604 .431 1346 -.969 5046 -5.969 7.24254 .015422 .742332 -.064034 Correlation Surface at 1446 5046 .134 .162 .393 .669 .821 .553 .366 .279 .238 .128 .174 .402 .700 .870 .570 .377 .295 .239 .123 .189 .422 .744 .921 .590 .373 .288 .226 .123 .208 .454 .798 .968 .609 .357 .267 .211 .127 .230 .490 .845 1.000 .620 .335 .244 .202 .137 .253 .517 .863 .998 .614 .312 .230 .202 .149 .270 .522 .838 .953 .588 .293 .227 .209 .161 .275 .495 .772 .873 .544 .278 .230 .214 .171 .263 .435 .682 .781 .493 .269 .234 .210 r_peak,r_snr = .414949 4.5415 Correlation Surface of oversamples image at 1446 5046 .359 .525 .695 .832 .917 .931 .847 .689 .531 .376 .541 .717 .861 .948 .959 .868 .698 .525 .389 .554 .735 .886 .974 .981 .884 .702 .516 .400 .563 .747 .904 .991 .995 .892 .701 .506 .408 .567 .754 .915 1.000 1.000 .893 .696 .497 .411 .564 .751 .913 .996 .993 .883 .684 .487 .405 .550 .733 .896 .976 .971 .861 .664 .471 .391 .526 .704 .864 .943 .937 .829 .636 .453 .375 .500 .673 .832 .910 .905 .799 .612 .440 1446 -.250 5046 3.750 4.54150 .005908 .890973 .025793 Correlation Surface at 1546 5046 .236 .264 .324 .510 .773 .679 .470 .373 .298 .243 .287 .365 .565 .852 .748 .488 .364 .260 .256 .323 .421 .632 .931 .816 .513 .359 .222 .278 .370 .475 .693 .986 .865 .540 .353 .187 .312 .426 .515 .728 1.000 .883 .559 .341 .158 .360 .485 .535 .730 .972 .872 .566 .322 .138 r_peak,r_snr = .3690309 3.55301 Correlation Surface of oversamples image at 1546 5046 .519 .616 .740 .866 .922 .864 .738 .609 .499 .540 .637 .763 .893 .951 .893 .765 .632 .518 .560 .655 .781 .914 .975 .916 .785 .649 .533 .574 .665 .791 .928 .992 .932 .799 .661 .542 .584 .668 .792 .933 1.000 .940 .805 .664 .544 .590 .665 .785 .930 1.000 .939 .800 .658 .538 .593 .657 .772 .918 .991 .931 .788 .644 .526 .595 .647 .756 .903 .979 .920 .772 .627 .511 .596 .636 .738 .885 .965 .906 .754 .608 .494 1546 .000 5046 13.250 3.55301 .012829 .830648 .020063 Correlation Surface at 1646 5046 .323 .443 .684 .939 .833 .651 .578 .547 .561 .348 .453 .669 .941 .894 .705 .609 .560 .560 .374 .454 .627 .917 .952 .757 .640 .576 .548 .392 .443 .566 .870 .991 .794 .658 .591 .534 .396 .423 .500 .807 1.000 .810 .657 .602 .525 .391 .397 .440 .736 .976 .803 .636 .607 .526 .385 .375 .398 .670 .924 .776 .604 .605 .538 .386 .364 .378 .617 .854 .734 .571 .596 .558 r_peak,r_snr = .4731819 2.40493 Correlation Surface of oversamples image at 1646 5046 .542 .729 .910 .988 .925 .794 .689 .623 .573 .508 .688 .880 .989 .954 .830 .715 .637 .580 .474 .645 .845 .982 .978 .863 .739 .648 .583 .441 .601 .806 .968 .993 .890 .758 .654 .583 .411 .560 .766 .947 1.000 .910 .771 .655 .579 .384 .520 .723 .918 .996 .920 .777 .650 .570 .360 .485 .681 .883 .979 .919 .776 .641 .559 .343 .458 .644 .846 .954 .908 .768 .630 .548 .331 .436 .612 .806 .920 .887 .754 .617 .537 1646 .875 5046 10.781 2.40493 .014773 .756230 -.079678 Correlation Surface at 1746 5046 .490 .592 .690 .821 .875 .894 .934 .888 .835 .478 .575 .687 .842 .907 .885 .918 .893 .824 .473 .561 .685 .860 .948 .898 .905 .895 .809 .474 .551 .683 .861 .985 .925 .895 .893 .797 .480 .548 .682 .841 1.000 .949 .887 .883 .792 .493 .555 .681 .802 .984 .956 .879 .862 .792 .516 .572 .682 .759 .938 .938 .870 .834 .795 .545 .594 .685 .724 .876 .898 .856 .805 .797 .574 .611 .683 .701 .813 .846 .841 .785 .795 r_peak,r_snr = .607881 1.62307 Correlation Surface of oversamples image at 1746 5046 .731 .772 .841 .945 .996 .959 .882 .833 .835 .725 .767 .835 .942 .999 .967 .885 .825 .822 .718 .762 .829 .936 1.000 .973 .891 .824 .815 .721 .766 .829 .932 .997 .973 .890 .818 .804 .723 .769 .829 .925 .990 .972 .892 .818 .801 .720 .769 .826 .917 .981 .972 .901 .829 .810 .721 .771 .824 .907 .970 .969 .909 .842 .823 1746 -2.313 5046 .250 1.62307 .011328 .263909 -.033236 Correlation Surface at 1846 5046 .447 .551 .660 .750 .879 .686 .496 .295 .157 .475 .585 .664 .755 .907 .688 .467 .273 .143 .498 .631 .684 .789 .944 .686 .443 .265 .135 .513 .684 .719 .847 .981 .677 .427 .274 .136 .523 .729 .760 .907 1.000 .659 .415 .296 .146 .533 .756 .798 .948 .990 .635 .409 .323 .162 .550 .763 .828 .960 .951 .611 .411 .347 .180 .570 .749 .843 .944 .892 .589 .419 .361 .194 .578 .716 .839 .910 .830 .573 .431 .366 .201 r_peak,r_snr = .4032689 2.62966 Correlation Surface of oversamples image at 1846 5046 1.996 2.269 2.819 3.554 4.000 3.726 3.054 2.507 2.063 1.985 2.249 2.775 3.484 3.928 3.660 2.966 2.386 1.936 2.004 2.264 2.766 3.434 3.842 3.561 2.850 2.248 1.803 2.054 2.322 2.811 3.433 3.784 3.464 2.727 2.106 1.672 2.127 2.410 2.895 3.467 3.739 3.360 2.590 1.958 1.544 1846 .063 5046 -3.781 2.62966 .020743 1.650408 .145952 Correlation Surface at 1946 5046 .245 .271 .369 .752 .984 .776 .507 .433 .411 .262 .287 .390 .763 1.000 .786 .536 .419 .401 .281 .303 .414 .751 .985 .805 .583 .408 .376 .300 .320 .439 .734 .945 .826 .629 .398 .343 .319 .337 .463 .724 .895 .843 .658 .394 .315 .334 .351 .483 .727 .851 .858 .664 .399 .301 r_peak,r_snr = .3467137 2.71945 Correlation Surface of oversamples image at 1946 5046 .311 .462 .668 .846 .921 .882 .751 .595 .484 .324 .485 .704 .888 .951 .891 .744 .582 .471 .334 .501 .730 .919 .975 .897 .737 .570 .460 .342 .513 .746 .940 .991 .901 .731 .562 .453 .350 .521 .754 .949 1.000 .903 .729 .560 .454 .355 .523 .750 .944 .997 .901 .728 .564 .461 .355 .519 .736 .923 .980 .891 .726 .570 .470 .353 .510 .712 .890 .951 .875 .723 .578 .482 .353 .503 .689 .852 .916 .858 .726 .593 .499 1946 -1.094 5046 -14.219 2.71945 .012025 1.830004 -.035005 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .003 .030 .119 .309 .511 .251 .147 .118 .030 .004 .032 .117 .383 .661 .270 .132 .121 .041 .007 .026 .103 .438 .822 .295 .113 .111 .048 .009 .016 .078 .455 .950 .325 .095 .090 .050 .008 .009 .053 .425 1.000 .350 .080 .063 .046 .005 .004 .033 .361 .950 .356 .067 .037 .037 .002 .002 .020 .286 .810 .328 .054 .015 .027 .001 .001 .015 .219 .619 .270 .039 .003 .018 .000 .001 .015 .174 .428 .197 .026 .000 .011 r_peak,r_snr = .3072314 11.43097 Correlation Surface of oversamples image at 146 5446 .103 .206 .442 .750 .859 .640 .336 .163 .109 .100 .206 .456 .787 .912 .686 .355 .161 .097 .097 .205 .465 .817 .958 .727 .375 .161 .087 .093 .201 .468 .833 .989 .759 .392 .163 .079 .087 .194 .462 .833 1.000 .778 .405 .165 .073 .081 .186 .450 .820 .993 .783 .413 .167 .069 .078 .182 .441 .802 .976 .780 .420 .171 .068 .077 .180 .431 .777 .945 .765 .423 .177 .069 .075 .175 .412 .733 .888 .726 .411 .176 .067 146 -.031 5446 4.500 11.43097 .002874 .272100 -.009506 Correlation Surface at 246 5446 .259 .015 .172 .410 .196 .265 .515 .173 .024 .258 .004 .282 .647 .424 .387 .539 .214 .069 .181 .000 .392 .860 .699 .526 .571 .270 .117 .072 .013 .435 .929 .927 .654 .580 .319 .143 .005 .045 .377 .788 1.000 .715 .526 .329 .129 .013 .090 .248 .499 .878 .646 .399 .284 .085 .064 .123 .114 .220 .630 .466 .248 .205 .039 .096 .116 .030 .061 .379 .270 .129 .120 .011 .073 .065 .001 .009 .207 .131 .065 .058 .001 r_peak,r_snr = .1326363 7.5649 Correlation Surface of oversamples image at 246 5446 .023 .120 .318 .556 .589 .386 .222 .206 .285 .044 .169 .403 .691 .761 .550 .348 .292 .331 .068 .212 .468 .790 .897 .695 .469 .370 .359 .091 .243 .500 .838 .979 .801 .567 .428 .365 .114 .258 .500 .831 1.000 .859 .634 .464 .356 .132 .255 .462 .767 .953 .856 .652 .466 .327 .136 .225 .384 .642 .829 .776 .606 .419 .270 .128 .177 .284 .485 .657 .643 .511 .341 .201 .121 .134 .195 .341 .491 .508 .411 .265 .145 246 -6.500 5446 -9.594 7.56490 .155365 .795113 -.242050 Correlation Surface at 346 5446 .022 .008 .001 .041 .054 .005 .011 .034 .039 .051 .025 .003 .139 .250 .052 .001 .024 .032 .066 .055 .026 .285 .557 .156 .007 .013 .030 .067 .110 .082 .436 .855 .276 .032 .004 .035 .063 .199 .182 .530 1.000 .346 .051 .000 .047 .059 .315 .326 .536 .941 .340 .043 .000 .055 .059 .438 .494 .479 .750 .282 .019 .000 .046 .064 .538 .644 .400 .525 .208 .002 .002 .025 .068 .577 .703 .329 .347 .149 .000 .006 .004 r_peak,r_snr = .1332936 8.38629 Correlation Surface of oversamples image at 346 5446 .095 .155 .352 .642 .743 .548 .312 .170 .066 .135 .199 .409 .719 .832 .630 .375 .214 .091 .191 .256 .474 .799 .919 .709 .435 .255 .115 .260 .318 .534 .862 .984 .768 .481 .283 .132 .333 .372 .568 .881 1.000 .789 .499 .291 .134 .410 .418 .579 .862 .976 .780 .496 .282 .124 .496 .468 .586 .831 .938 .760 .487 .268 .111 .580 .510 .579 .781 .876 .721 .466 .249 .095 .638 .525 .541 .690 .771 .643 .419 .215 .073 346 -6.094 5446 8.375 8.38629 .015689 .496784 .002763 Correlation Surface at 446 5446 .031 .001 .016 .317 .583 .059 .012 .002 .000 .017 .002 .077 .495 .705 .083 .003 .000 .010 .003 .007 .173 .689 .815 .115 .000 .001 .049 .000 .010 .265 .862 .921 .158 .003 .004 .110 .006 .010 .312 .965 1.000 .206 .007 .006 .168 .010 .010 .298 .957 .982 .241 .009 .005 .193 .009 .011 .247 .829 .821 .237 .006 .004 .177 .007 .015 .183 .620 .569 .187 .001 .004 .135 .011 .017 .122 .397 .331 .117 .000 .005 .087 r_peak,r_snr = .1761765 9.78264 Correlation Surface of oversamples image at 446 5446 .009 .073 .275 .598 .821 .690 .341 .114 .052 .010 .086 .314 .664 .897 .757 .387 .136 .061 .009 .092 .341 .716 .963 .825 .440 .165 .073 .006 .088 .347 .737 .997 .870 .485 .193 .083 .003 .079 .338 .734 1.000 .887 .518 .220 .092 .002 .073 .329 .724 .988 .890 .547 .252 .108 .002 .064 .306 .686 .938 .853 .552 .278 .124 .000 .048 .258 .599 .821 .751 .506 .275 .126 .000 .034 .208 .501 .682 .621 .432 .251 .119 446 -.406 5446 2.844 9.78264 .012976 1.159553 -.024894 Correlation Surface at 546 5446 .182 .425 .561 .554 .840 .872 .298 .107 .075 .152 .386 .524 .570 .907 .948 .309 .082 .061 .120 .328 .469 .580 .966 .986 .329 .069 .050 .094 .271 .408 .575 .999 .977 .351 .070 .042 .080 .232 .352 .553 1.000 .934 .370 .085 .041 .077 .216 .316 .527 .980 .876 .386 .117 .046 .086 .223 .308 .515 .957 .829 .399 .164 .060 r_peak,r_snr = .2946233 4.07732 Correlation Surface of oversamples image at 546 5446 .376 .488 .658 .845 .939 .836 .550 .250 .079 .365 .492 .679 .877 .966 .849 .557 .255 .082 .352 .492 .696 .903 .984 .848 .553 .258 .087 .340 .491 .711 .927 .995 .840 .543 .260 .093 .328 .487 .720 .945 1.000 .824 .528 .260 .101 .314 .477 .720 .951 .993 .801 .509 .260 .111 .301 .466 .714 .946 .976 .772 .489 .259 .122 .294 .458 .708 .941 .960 .748 .473 .261 .136 .290 .452 .704 .934 .945 .728 .462 .267 .153 546 .344 5446 12.250 4.07732 .014369 5.964207 .109932 Correlation Surface at 646 5446 .696 .723 .816 .898 .814 .734 .693 .634 .622 .697 .725 .804 .941 .875 .728 .683 .645 .609 .711 .747 .801 .968 .935 .738 .686 .666 .606 .736 .783 .808 .972 .980 .758 .697 .695 .618 .761 .821 .819 .953 1.000 .781 .709 .723 .644 .773 .846 .829 .917 .992 .798 .717 .741 .680 .767 .849 .833 .875 .962 .803 .717 .742 .713 .744 .827 .828 .838 .918 .794 .707 .726 .732 .711 .788 .817 .815 .875 .777 .692 .701 .733 r_peak,r_snr = .6135258 1.54736 Correlation Surface of oversamples image at 646 5446 .765 .830 .908 .964 .956 .879 .774 .678 .618 .763 .820 .900 .968 .976 .905 .791 .683 .617 .765 .813 .891 .967 .990 .927 .808 .690 .620 .773 .810 .882 .963 .998 .944 .824 .699 .626 .785 .811 .873 .955 1.000 .956 .836 .709 .634 .799 .815 .865 .943 .995 .961 .845 .717 .642 .813 .819 .857 .927 .982 .957 .849 .723 .649 .825 .824 .849 .909 .962 .946 .846 .726 .653 .834 .829 .841 .889 .938 .928 .839 .726 .656 646 -.563 5446 -1.813 1.54736 .007694 .321037 -.031285 Correlation Surface at 746 5446 .647 .604 .763 .994 .949 .816 .703 .580 .451 .656 .596 .747 .981 .974 .849 .738 .619 .479 .655 .586 .726 .960 .989 .863 .755 .657 .515 .639 .570 .700 .937 .998 .865 .763 .694 .558 .610 .549 .674 .918 1.000 .860 .773 .735 .605 .571 .529 .654 .901 .991 .847 .787 .778 .647 .535 .520 .647 .885 .970 .833 .808 .818 .677 .519 .531 .655 .867 .945 .822 .835 .852 .686 .532 .569 .678 .846 .918 .814 .864 .884 .682 r_peak,r_snr = .4878746 1.63808 Correlation Surface of oversamples image at 746 5446 2.361 2.755 3.293 3.776 3.833 3.425 2.867 2.524 2.548 2.361 2.760 3.319 3.835 3.905 3.477 2.896 2.541 2.561 2.362 2.750 3.312 3.852 3.946 3.517 2.927 2.565 2.580 2.389 2.752 3.302 3.856 3.983 3.576 2.991 2.625 2.630 746 -.656 5446 .781 1.63808 .016492 4.332161 -.089500 Correlation Surface at 846 5446 .795 .804 .777 .845 .951 .849 .796 .632 .539 .800 .828 .790 .849 .958 .863 .812 .667 .554 .795 .852 .813 .866 .974 .879 .811 .676 .552 .780 .867 .837 .887 .991 .893 .795 .663 .537 .759 .870 .855 .908 1.000 .903 .771 .638 .517 .733 .859 .862 .923 .995 .900 .744 .612 .499 .709 .837 .861 .932 .974 .884 .722 .594 .488 .694 .818 .861 .933 .941 .856 .710 .588 .485 .697 .816 .870 .931 .902 .823 .707 .594 .489 r_peak,r_snr = .5830526 1.67724 Correlation Surface of oversamples image at 846 5446 .705 .754 .855 .950 .970 .918 .849 .801 .754 .714 .755 .855 .956 .985 .934 .861 .805 .753 .725 .757 .854 .959 .994 .946 .868 .804 .746 .737 .760 .852 .959 .999 .953 .870 .797 .733 .751 .765 .850 .956 1.000 .955 .868 .788 .717 .766 .771 .850 .953 .997 .953 .864 .777 .701 .782 .780 .850 .947 .990 .946 .856 .765 .685 .799 .791 .852 .941 .980 .937 .846 .753 .669 .818 .806 .859 .937 .971 .927 .838 .743 .657 846 .969 5446 2.188 1.67724 .012546 1.346091 .056454 Correlation Surface at 946 5446 .139 .493 .732 .876 .871 .750 .630 .457 .272 .165 .490 .707 .835 .911 .798 .649 .542 .366 .215 .487 .655 .777 .948 .845 .638 .567 .374 .271 .474 .587 .719 .982 .895 .616 .529 .278 .307 .439 .505 .663 1.000 .940 .597 .460 .150 .305 .386 .422 .603 .988 .957 .585 .392 .061 .271 .330 .347 .528 .938 .923 .577 .350 .026 .227 .284 .287 .441 .848 .840 .568 .344 .025 .191 .253 .243 .354 .722 .725 .546 .366 .053 r_peak,r_snr = .2221147 3.51331 Correlation Surface of oversamples image at 946 5446 .579 .576 .664 .775 .778 .672 .580 .546 .511 .573 .574 .679 .825 .853 .733 .608 .546 .494 .567 .571 .690 .867 .920 .786 .627 .534 .462 .566 .573 .700 .900 .972 .826 .636 .513 .419 .569 .577 .705 .916 1.000 .846 .632 .485 .371 .566 .573 .695 .906 .996 .841 .614 .451 .324 .553 .559 .670 .870 .959 .809 .581 .414 .279 .542 .544 .642 .824 .905 .761 .543 .380 .246 .528 .525 .608 .767 .834 .698 .500 .351 .222 946 -9.594 5446 -4.813 3.51331 .211698 10.683064 -1.356132 Correlation Surface at 1046 5446 .020 .001 .152 .655 .804 .504 .090 .148 .205 .013 .001 .136 .672 .847 .498 .073 .109 .164 .003 .002 .143 .711 .906 .501 .063 .081 .140 .001 .004 .181 .779 .966 .527 .072 .073 .139 .013 .007 .249 .857 1.000 .587 .114 .090 .153 .034 .010 .336 .908 .979 .670 .204 .128 .167 .049 .014 .414 .901 .889 .745 .347 .179 .162 .048 .020 .454 .832 .746 .757 .510 .227 .130 .034 .029 .438 .705 .581 .688 .640 .263 .087 r_peak,r_snr = .1905143 6.44497 Correlation Surface of oversamples image at 1046 5446 3.869 3.654 3.555 3.380 2.642 1.652 .928 .574 .444 3.642 3.366 3.407 3.537 3.068 2.123 1.263 .737 .478 3.323 2.995 3.149 3.557 3.394 2.556 1.589 .885 .489 3.101 2.728 2.967 3.614 3.754 3.055 1.991 1.087 .535 1046 2.438 5446 2.813 6.44497 .031017 2.948891 -.057496 Correlation Surface at 1146 5446 .142 .032 .063 .487 .694 .293 .379 .499 .079 .166 .024 .075 .469 .772 .364 .378 .549 .091 .168 .007 .102 .479 .887 .498 .421 .584 .099 .148 .000 .146 .486 .984 .667 .490 .575 .089 .116 .014 .192 .454 1.000 .825 .549 .514 .061 .084 .041 .224 .375 .902 .923 .571 .422 .033 .055 .070 .233 .271 .710 .933 .557 .339 .016 .030 .089 .222 .185 .496 .867 .516 .289 .010 .011 .097 .206 .142 .326 .763 .460 .278 .014 r_peak,r_snr = .1618687 6.59335 Correlation Surface of oversamples image at 1146 5446 .633 .821 .870 .829 .836 .826 .731 .541 .351 .568 .751 .858 .884 .907 .863 .724 .512 .323 .493 .661 .814 .909 .955 .881 .702 .476 .291 .425 .571 .757 .916 .990 .892 .682 .446 .268 .359 .480 .685 .899 1.000 .884 .654 .418 .248 .288 .382 .590 .838 .957 .831 .597 .375 .221 .225 .294 .493 .757 .881 .751 .526 .329 .195 .200 .253 .446 .722 .848 .712 .498 .322 .202 1146 2.469 5446 -9.219 6.59335 .055822 1.343534 -.205227 Correlation Surface at 1246 5446 .026 .042 .334 .648 .696 .609 .412 .425 .262 .030 .042 .333 .688 .812 .569 .239 .244 .168 .033 .043 .284 .670 .908 .518 .122 .119 .092 .037 .051 .221 .630 .975 .472 .066 .054 .046 .046 .073 .168 .584 1.000 .445 .051 .029 .026 .061 .109 .133 .531 .977 .444 .064 .023 .025 .083 .150 .113 .469 .910 .461 .097 .025 .038 .114 .181 .106 .403 .812 .483 .138 .029 .061 .146 .191 .116 .348 .692 .494 .165 .029 .077 r_peak,r_snr = .2079872 5.15573 Correlation Surface of oversamples image at 1246 5446 .225 .397 .625 .800 .892 .918 .811 .517 .273 .253 .436 .670 .845 .929 .933 .792 .469 .213 .268 .460 .701 .879 .959 .942 .769 .421 .162 .275 .474 .723 .908 .985 .948 .745 .382 .127 .270 .472 .731 .927 1.000 .943 .715 .347 .102 .249 .453 .724 .930 .998 .923 .676 .313 .083 .219 .425 .709 .925 .987 .896 .638 .287 .072 .189 .395 .694 .919 .976 .872 .611 .275 .072 .161 .365 .676 .911 .962 .851 .594 .276 .080 1246 -.969 5446 3.250 5.15573 .010017 3.156038 -.063745 Correlation Surface at 1346 5446 .002 .097 .185 .146 .271 .535 .613 .184 .123 .000 .092 .202 .244 .419 .547 .605 .213 .126 .001 .087 .222 .371 .639 .586 .573 .232 .116 .006 .083 .235 .471 .868 .622 .504 .228 .099 .013 .083 .233 .474 1.000 .632 .411 .203 .082 .013 .089 .213 .360 .955 .607 .318 .162 .070 .004 .108 .186 .201 .762 .556 .241 .113 .066 .001 .146 .167 .081 .522 .486 .183 .067 .067 .020 .203 .166 .026 .329 .408 .139 .031 .067 r_peak,r_snr = .1607994 4.68027 Correlation Surface of oversamples image at 1346 5446 .263 .422 .689 .876 .821 .657 .594 .613 .526 .235 .397 .691 .926 .909 .723 .597 .562 .472 .199 .348 .650 .928 .964 .775 .596 .510 .412 .160 .286 .579 .892 .989 .817 .596 .464 .357 .129 .227 .498 .837 1.000 .860 .608 .436 .316 .101 .171 .410 .759 .985 .890 .621 .414 .281 .073 .115 .313 .653 .925 .882 .612 .380 .239 .052 .073 .228 .545 .846 .850 .590 .344 .199 .047 .054 .181 .479 .801 .845 .594 .333 .181 1346 -.438 5446 8.750 4.68027 .018190 .440141 -.019042 Correlation Surface at 1446 5446 .076 .201 .477 .682 .759 .515 .227 .106 .050 .082 .201 .491 .768 .847 .557 .265 .123 .055 .095 .207 .497 .843 .929 .588 .300 .143 .064 .113 .216 .490 .886 .983 .600 .322 .161 .076 .131 .225 .474 .889 1.000 .596 .328 .175 .086 .146 .236 .459 .860 .986 .588 .320 .183 .093 .157 .248 .451 .814 .957 .586 .305 .186 .095 .165 .262 .454 .773 .925 .593 .287 .182 .090 .171 .276 .463 .745 .896 .608 .271 .172 .082 r_peak,r_snr = .3518302 5.59184 Correlation Surface of oversamples image at 1446 5446 .350 .499 .670 .828 .921 .895 .771 .628 .503 .360 .516 .697 .860 .951 .913 .773 .624 .500 .376 .536 .723 .889 .976 .928 .775 .619 .494 .396 .559 .747 .911 .993 .937 .773 .611 .486 .419 .581 .765 .925 1.000 .939 .770 .603 .476 .443 .603 .779 .930 .999 .937 .768 .598 .467 .471 .625 .790 .933 .997 .937 .772 .601 .465 .498 .644 .797 .929 .991 .935 .777 .606 .465 .515 .651 .789 .913 .972 .923 .775 .608 .462 1446 -.469 5446 -4.250 5.59184 .008340 1.873101 -.011673 Correlation Surface at 1546 5446 .694 .649 .691 .830 .942 .810 .591 .702 .794 .674 .672 .705 .844 .972 .846 .619 .703 .858 .643 .675 .719 .859 .995 .885 .666 .693 .872 .613 .660 .723 .861 1.000 .915 .718 .671 .830 .592 .632 .706 .839 .977 .917 .759 .645 .751 .586 .607 .670 .787 .923 .886 .778 .620 .658 .602 .601 .619 .712 .848 .830 .776 .603 .580 .635 .621 .572 .641 .775 .769 .765 .598 .529 r_peak,r_snr = .39711 1.64704 Correlation Surface of oversamples image at 1546 5446 2.148 2.365 3.018 3.523 2.147 2.351 3.036 3.639 2.181 2.362 3.048 3.719 2.253 2.400 3.058 3.759 2.359 2.462 3.060 3.755 2.493 2.541 3.050 3.702 2.644 2.630 3.028 3.603 2.793 2.714 2.984 3.461 2.919 2.772 2.908 3.271 1546 4.813 5446 -13.750 1.64704 .034232 1.536715 -.101542 Correlation Surface at 1646 5446 .191 .316 .411 .613 .740 .534 .317 .224 .159 .169 .293 .408 .647 .827 .598 .338 .221 .153 .147 .265 .393 .667 .913 .674 .358 .219 .149 .127 .234 .367 .663 .977 .746 .375 .218 .148 .110 .202 .336 .633 1.000 .798 .384 .214 .148 .097 .177 .309 .593 .985 .824 .382 .209 .150 .088 .160 .293 .554 .944 .822 .372 .203 .152 .086 .152 .288 .527 .892 .795 .357 .197 .155 .090 .153 .295 .514 .839 .748 .339 .194 .158 r_peak,r_snr = .5743762 4.52264 Correlation Surface of oversamples image at 1646 5446 .340 .486 .686 .873 .932 .828 .630 .426 .269 .328 .480 .689 .892 .964 .861 .649 .432 .269 .313 .465 .682 .898 .987 .887 .664 .436 .267 .295 .446 .665 .892 .999 .906 .677 .439 .264 .278 .424 .642 .876 1.000 .920 .688 .443 .264 .263 .403 .614 .851 .990 .925 .696 .448 .266 .250 .381 .583 .818 .969 .921 .700 .452 .268 .240 .363 .551 .779 .940 .909 .700 .455 .269 .234 .348 .522 .740 .906 .893 .697 .457 .272 1646 .031 5446 -2.781 4.52264 .003189 .237221 -.017792 Correlation Surface at 1746 5446 .703 .729 .781 .763 .848 .829 .704 .647 .646 .692 .725 .809 .792 .875 .836 .695 .641 .637 .675 .704 .831 .838 .923 .850 .686 .638 .627 .660 .675 .837 .889 .972 .859 .677 .635 .618 .654 .646 .826 .928 1.000 .853 .670 .639 .614 .657 .625 .800 .944 .995 .830 .670 .652 .625 .668 .616 .766 .933 .960 .795 .674 .676 .652 .685 .620 .733 .905 .909 .758 .679 .704 .688 .705 .639 .712 .870 .863 .727 .678 .723 .715 r_peak,r_snr = .5901337 1.60878 Correlation Surface of oversamples image at 1746 5446 .456 .555 .672 .786 .870 .890 .825 .710 .598 .455 .566 .700 .826 .915 .932 .854 .723 .601 .453 .575 .725 .864 .956 .967 .876 .730 .602 .451 .582 .746 .893 .985 .989 .886 .730 .599 .448 .584 .758 .911 1.000 .995 .884 .722 .594 .444 .582 .761 .916 .999 .984 .868 .707 .586 .440 .576 .756 .909 .982 .958 .840 .687 .577 .436 .566 .743 .890 .952 .920 .803 .661 .566 .431 .552 .721 .859 .911 .872 .760 .632 .553 1746 -.250 5446 3.563 1.60878 .010796 .261127 .029025 Correlation Surface at 1846 5446 .038 .095 .155 .416 .728 .358 .116 .042 .018 .037 .089 .155 .460 .825 .375 .087 .023 .014 .033 .081 .161 .505 .918 .399 .065 .011 .012 .027 .074 .171 .542 .984 .425 .051 .005 .012 .022 .071 .184 .561 1.000 .446 .046 .002 .014 .017 .072 .200 .560 .956 .452 .050 .003 .017 .014 .078 .220 .539 .862 .442 .060 .005 .023 .012 .085 .242 .506 .747 .420 .077 .011 .029 .009 .089 .263 .471 .637 .392 .094 .020 .037 r_peak,r_snr = .4016169 9.75204 Correlation Surface of oversamples image at 1846 5446 .170 .298 .542 .816 .897 .686 .374 .157 .055 .178 .315 .571 .856 .937 .712 .380 .150 .046 .190 .334 .600 .890 .969 .733 .386 .146 .040 .204 .355 .627 .917 .991 .748 .392 .145 .037 .219 .376 .649 .934 1.000 .754 .397 .147 .036 .235 .395 .664 .938 .996 .751 .399 .151 .038 .252 .413 .673 .932 .982 .742 .402 .158 .042 .268 .426 .674 .915 .958 .729 .405 .168 .049 .280 .433 .663 .883 .920 .704 .402 .177 .058 1846 -.156 5446 2.688 9.75204 .002048 .315866 -.001143 Correlation Surface at 1946 5446 .013 .002 .042 .232 .333 .222 .006 .042 .007 .000 .006 .053 .366 .607 .330 .012 .027 .020 .018 .056 .087 .498 .871 .418 .023 .012 .029 .092 .160 .143 .594 1.000 .439 .037 .005 .030 .218 .277 .200 .626 .931 .378 .047 .003 .030 .341 .343 .232 .589 .725 .268 .045 .006 .036 .384 .317 .219 .504 .508 .167 .035 .016 .051 .316 .226 .172 .400 .361 .113 .024 .033 .079 r_peak,r_snr = .136269 6.88934 Correlation Surface of oversamples image at 1946 5446 .092 .159 .314 .511 .630 .644 .562 .359 .149 .129 .187 .349 .590 .757 .773 .647 .397 .162 .178 .223 .387 .662 .872 .886 .718 .427 .175 .233 .261 .420 .717 .959 .966 .759 .439 .183 .282 .290 .439 .742 1.000 .996 .757 .427 .181 .319 .308 .441 .736 .995 .979 .721 .395 .171 .347 .320 .437 .715 .966 .939 .672 .358 .159 .357 .320 .421 .678 .913 .875 .606 .314 .143 .335 .292 .378 .604 .811 .764 .508 .251 .114 1946 -1.281 5446 -11.313 6.88934 .022596 .521207 .031399 Correlation Surface at 2046 5446 .000 .013 .004 .180 .675 .570 .311 .187 .175 .000 .005 .006 .211 .829 .657 .282 .134 .140 .001 .000 .003 .228 .950 .753 .255 .087 .092 .003 .012 .000 .221 1.000 .834 .243 .060 .052 .011 .044 .005 .182 .949 .862 .246 .058 .026 .028 .080 .016 .122 .809 .828 .262 .085 .015 .052 .100 .023 .069 .624 .748 .289 .148 .014 .073 .094 .019 .035 .458 .653 .316 .229 .020 r_peak,r_snr = .1583974 8.52914 Correlation Surface of oversamples image at 2046 5446 .102 .243 .499 .774 .840 .618 .313 .131 .064 .109 .267 .553 .853 .908 .654 .320 .122 .050 .111 .283 .594 .912 .958 .678 .324 .114 .038 .106 .288 .617 .950 .991 .696 .328 .110 .032 .096 .280 .615 .956 1.000 .703 .332 .110 .028 .079 .256 .583 .919 .971 .687 .327 .109 .026 .062 .226 .535 .855 .915 .654 .315 .108 .026 .050 .201 .487 .788 .856 .622 .309 .113 .031 .041 .177 .435 .711 .788 .585 .302 .120 .038 2046 1.313 5446 -12.125 8.52914 .016608 1.422167 -.069195 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .022 .013 .029 .359 .542 .275 .114 .007 .021 .026 .014 .049 .496 .679 .301 .103 .001 .038 .027 .017 .076 .669 .824 .311 .098 .001 .041 .023 .024 .109 .848 .945 .315 .104 .004 .033 .016 .035 .145 .973 1.000 .314 .125 .012 .023 .009 .050 .172 .993 .964 .310 .160 .027 .013 .002 .060 .177 .902 .856 .306 .200 .046 .006 .000 .055 .152 .739 .719 .298 .225 .065 .002 .002 .037 .110 .566 .595 .288 .222 .074 .000 r_peak,r_snr = .2238995 10.35634 Correlation Surface of oversamples image at 146 5846 .033 .096 .305 .634 .850 .771 .500 .270 .144 .029 .099 .329 .686 .911 .814 .523 .285 .155 .024 .098 .345 .725 .956 .842 .537 .295 .165 .021 .097 .356 .755 .988 .858 .544 .303 .177 .017 .093 .358 .769 1.000 .859 .544 .309 .188 .014 .085 .345 .754 .979 .836 .531 .309 .196 .010 .074 .318 .712 .930 .792 .507 .303 .200 .008 .063 .289 .663 .871 .745 .485 .299 .207 .006 .054 .258 .605 .803 .694 .464 .298 .213 146 -.438 5846 1.938 10.35635 .012619 .760735 .036484 Correlation Surface at 246 5846 .520 .510 .616 .762 .869 .611 .665 .747 .553 .531 .503 .593 .748 .898 .639 .669 .741 .550 .545 .503 .585 .756 .935 .664 .657 .723 .552 .562 .510 .590 .782 .973 .686 .633 .695 .559 .585 .525 .607 .813 1.000 .703 .603 .659 .574 .615 .543 .622 .826 .998 .711 .575 .617 .589 .642 .553 .619 .804 .962 .711 .551 .569 .592 .659 .552 .595 .755 .906 .712 .540 .520 .578 .664 .542 .556 .703 .853 .719 .541 .478 .549 r_peak,r_snr = .4594764 2.11174 Correlation Surface of oversamples image at 246 5846 .578 .655 .760 .885 .967 .918 .774 .669 .657 .582 .660 .767 .895 .977 .923 .773 .663 .646 .593 .672 .780 .909 .988 .928 .772 .657 .636 .605 .687 .796 .924 .997 .931 .771 .650 .625 .614 .700 .809 .933 1.000 .930 .767 .642 .611 .622 .711 .820 .939 .998 .927 .763 .635 .596 .628 .722 .829 .941 .994 .923 .763 .630 .583 .629 .728 .831 .935 .985 .918 .763 .627 .570 .620 .722 .821 .917 .965 .905 .759 .622 .554 246 .031 5846 3.438 2.11174 .004774 .852486 .007591 Correlation Surface at 346 5846 .004 .001 .040 .319 .508 .351 .225 .039 .043 .006 .000 .017 .359 .663 .402 .194 .015 .050 .011 .000 .006 .422 .838 .435 .145 .001 .057 .024 .001 .003 .487 .974 .441 .095 .002 .057 .051 .012 .007 .531 1.000 .406 .057 .010 .044 .094 .047 .024 .538 .894 .327 .031 .011 .024 .145 .107 .066 .511 .702 .219 .015 .005 .009 .181 .168 .129 .461 .505 .121 .004 .000 .001 .177 .196 .191 .405 .363 .057 .000 .002 .001 r_peak,r_snr = .164498 9.03165 Correlation Surface of oversamples image at 346 5846 .038 .217 .546 .829 .869 .667 .411 .223 .115 .031 .214 .575 .891 .931 .696 .400 .189 .078 .026 .211 .594 .936 .975 .713 .385 .157 .049 .024 .211 .609 .963 .999 .722 .372 .133 .031 .025 .213 .615 .967 1.000 .719 .359 .117 .020 .028 .215 .607 .942 .968 .694 .340 .103 .013 .034 .217 .587 .892 .910 .652 .316 .091 .009 .045 .226 .566 .834 .844 .606 .294 .085 .008 .062 .238 .542 .770 .772 .555 .272 .080 .008 346 -.219 5846 2.781 9.03165 .014082 .761118 .042284 Correlation Surface at 446 5846 .279 .320 .361 .171 .049 .000 .009 .400 .540 .548 .248 .080 .004 .012 .518 .781 .759 .330 .115 .014 .013 .599 .946 .931 .408 .150 .037 .011 .618 .958 1.000 .478 .186 .077 .006 .569 .821 .949 .541 .224 .129 .002 .470 .604 .818 .598 .263 .175 .000 .356 .399 .668 .655 .302 .200 .000 .262 .261 .552 .707 .331 .199 .001 r_peak,r_snr = .1805523 4.83038 Correlation Surface of oversamples image at 446 5846 .319 .402 .510 .668 .730 .594 .372 .217 .145 .347 .460 .599 .781 .850 .706 .456 .270 .179 .365 .504 .671 .868 .939 .792 .525 .314 .205 .370 .530 .719 .922 .990 .846 .577 .348 .224 .362 .538 .739 .938 1.000 .868 .610 .375 .238 .343 .525 .729 .914 .970 .856 .623 .391 .248 .309 .490 .689 .854 .902 .810 .612 .394 .250 .267 .440 .625 .768 .810 .740 .582 .387 .248 .226 .387 .554 .674 .713 .669 .551 .383 .250 446 -13.594 5846 -6.688 4.83038 .047273 .864802 -.123911 Correlation Surface at 546 5846 .002 .004 .062 .335 .757 .736 .282 .003 .053 .005 .002 .070 .410 .842 .706 .246 .002 .053 .007 .001 .093 .510 .919 .652 .209 .001 .053 .007 .001 .129 .620 .976 .586 .176 .001 .054 .006 .003 .166 .714 1.000 .517 .151 .001 .054 .004 .004 .190 .770 .984 .451 .136 .001 .056 .002 .003 .188 .780 .933 .397 .128 .001 .061 .002 .001 .160 .742 .863 .354 .125 .002 .070 .005 .000 .119 .663 .777 .320 .125 .003 .080 r_peak,r_snr = .2653714 8.93423 Correlation Surface of oversamples image at 546 5846 .017 .141 .380 .661 .870 .903 .787 .600 .368 .020 .154 .410 .709 .914 .914 .760 .560 .344 .021 .162 .432 .746 .947 .918 .731 .522 .321 .022 .168 .451 .779 .979 .925 .711 .491 .303 .022 .168 .459 .800 1.000 .928 .691 .463 .286 .018 .156 .446 .793 .994 .912 .660 .428 .263 .013 .136 .417 .765 .968 .883 .625 .392 .238 .009 .121 .395 .745 .956 .873 .610 .375 .225 546 -.375 5846 -3.188 8.93423 .058336 4.236428 .461932 Correlation Surface at 646 5846 .083 .096 .080 .146 .320 .392 .211 .139 .116 .099 .141 .123 .242 .522 .571 .235 .119 .091 .107 .187 .174 .347 .739 .722 .233 .099 .069 .111 .222 .220 .431 .915 .811 .215 .083 .053 .109 .231 .243 .465 1.000 .829 .192 .074 .043 .103 .207 .237 .446 .977 .786 .177 .075 .043 .089 .158 .208 .391 .867 .702 .177 .085 .055 .071 .103 .169 .321 .705 .594 .192 .107 .082 .052 .059 .133 .259 .528 .476 .215 .139 .120 r_peak,r_snr = .2671925 6.94435 Correlation Surface of oversamples image at 646 5846 .253 .380 .576 .767 .788 .556 .250 .072 .021 .267 .411 .641 .863 .884 .619 .275 .074 .019 .271 .425 .683 .933 .958 .669 .295 .078 .019 .261 .420 .695 .966 .999 .697 .306 .080 .019 .238 .392 .674 .958 1.000 .700 .307 .080 .019 .207 .350 .626 .914 .967 .679 .298 .078 .020 .175 .303 .565 .847 .910 .644 .286 .078 .022 .144 .255 .492 .760 .829 .593 .269 .077 .025 .111 .202 .408 .649 .721 .522 .241 .073 .026 646 -.688 5846 -.781 6.94435 .008920 .329725 .005709 Correlation Surface at 746 5846 .000 .011 .001 .117 .286 .179 .009 .000 .002 .010 .006 .001 .235 .496 .269 .004 .009 .003 .023 .006 .003 .359 .735 .346 .000 .040 .002 .030 .010 .002 .439 .927 .400 .001 .079 .000 .031 .013 .001 .438 1.000 .426 .002 .095 .000 .029 .014 .000 .364 .926 .423 .000 .074 .000 .029 .011 .000 .263 .757 .396 .003 .035 .003 .031 .006 .000 .176 .573 .349 .019 .006 .014 .036 .001 .000 .117 .432 .290 .047 .001 .038 r_peak,r_snr = .162848 8.75836 Correlation Surface of oversamples image at 746 5846 .001 .063 .303 .577 .641 .493 .277 .097 .010 .000 .088 .386 .710 .777 .585 .314 .100 .007 .000 .107 .456 .821 .889 .657 .336 .098 .004 .001 .117 .498 .894 .966 .704 .344 .091 .002 .001 .116 .510 .921 1.000 .721 .337 .082 .001 .003 .106 .489 .896 .982 .703 .318 .072 .001 .006 .089 .441 .826 .917 .654 .289 .063 .000 .008 .072 .383 .736 .832 .596 .262 .059 .001 .010 .056 .321 .636 .734 .531 .238 .059 .003 746 -.156 5846 -.906 8.75836 .011119 .624162 -.019466 Correlation Surface at 846 5846 .480 .587 .805 .951 .912 .741 .589 .473 .426 .502 .583 .782 .924 .931 .794 .601 .466 .435 .530 .573 .747 .902 .963 .860 .617 .460 .436 .555 .563 .710 .884 .992 .921 .637 .467 .438 .573 .558 .684 .861 1.000 .958 .656 .490 .448 .588 .569 .677 .829 .978 .963 .673 .532 .472 .603 .600 .689 .790 .932 .943 .692 .587 .503 .622 .645 .711 .750 .881 .913 .714 .640 .531 .638 .687 .726 .716 .842 .886 .734 .673 .548 r_peak,r_snr = .53924 2.4284 Correlation Surface of oversamples image at 846 5846 .783 .836 .887 .933 .947 .911 .826 .705 .577 .764 .819 .877 .939 .970 .939 .846 .713 .582 .746 .802 .866 .941 .987 .963 .862 .721 .590 .729 .784 .852 .938 .998 .980 .873 .727 .600 .712 .764 .832 .927 1.000 .988 .878 .730 .611 .696 .741 .808 .909 .994 .989 .878 .732 .624 .684 .719 .784 .889 .983 .987 .878 .736 .639 .675 .698 .758 .867 .968 .980 .876 .741 .656 .664 .674 .729 .838 .945 .964 .868 .742 .669 846 1.719 5846 3.625 2.42840 .028084 .550990 -.086269 Correlation Surface at 946 5846 .047 .177 .694 .853 .906 .634 .435 .211 .006 .022 .147 .740 .837 .906 .660 .451 .221 .019 .012 .109 .721 .816 .924 .723 .478 .219 .035 .012 .077 .645 .787 .963 .823 .528 .218 .042 .017 .057 .532 .741 1.000 .932 .591 .225 .037 .025 .047 .416 .683 .999 .987 .629 .236 .024 .033 .046 .325 .631 .951 .952 .608 .242 .012 .041 .054 .269 .602 .894 .846 .527 .232 .005 .047 .072 .250 .611 .861 .711 .407 .203 .001 r_peak,r_snr = .1850968 5.26157 Correlation Surface of oversamples image at 946 5846 .159 .601 1.880 3.471 4.000 3.389 2.585 2.102 1.887 .090 .448 1.648 3.296 3.917 3.313 2.480 1.975 1.767 .052 .332 1.418 3.069 3.772 3.197 2.349 1.820 1.619 .036 .256 1.211 2.810 3.583 3.067 2.229 1.680 1.485 .030 .204 1.025 2.525 3.341 2.910 2.110 1.551 1.362 946 -2.063 5846 -10.813 5.26157 1.004408 17.981211 -4.060937 Correlation Surface at 1046 5846 .061 .002 .051 .255 .630 .458 .089 .002 .014 .087 .000 .050 .336 .752 .436 .083 .004 .006 .107 .000 .053 .419 .878 .440 .094 .014 .001 .111 .001 .058 .471 .973 .464 .112 .030 .001 .102 .001 .060 .471 1.000 .494 .126 .044 .004 .085 .001 .059 .425 .938 .509 .131 .047 .006 .067 .001 .056 .360 .801 .498 .127 .035 .004 .052 .001 .055 .299 .636 .459 .117 .019 .002 .043 .002 .058 .254 .490 .407 .106 .005 .000 r_peak,r_snr = .2304914 9.29927 Correlation Surface of oversamples image at 1046 5846 .650 1.074 2.024 3.438 4.000 2.852 1.282 .489 .299 .636 1.135 2.145 3.535 3.961 2.713 1.167 .430 .270 .592 1.171 2.244 3.593 3.877 2.561 1.069 .390 .253 .618 1.293 2.436 3.717 3.832 2.462 1.034 .399 .274 .664 1.446 2.653 3.837 3.765 2.360 1.019 .430 .315 1046 .406 5846 -4.781 9.29927 .006917 .716089 -.020797 Correlation Surface at 1146 5846 .126 .113 .248 .432 .576 .780 .693 .268 .054 .125 .130 .304 .586 .733 .794 .674 .301 .079 .128 .157 .382 .752 .876 .796 .654 .346 .114 .129 .182 .460 .896 .974 .777 .622 .386 .152 .126 .190 .505 .981 1.000 .721 .567 .403 .187 .120 .176 .500 .989 .959 .633 .488 .390 .214 .114 .148 .451 .935 .877 .527 .390 .345 .228 .112 .125 .386 .855 .792 .424 .287 .283 .225 .117 .117 .337 .785 .737 .340 .198 .223 .208 r_peak,r_snr = .2731787 4.9078 Correlation Surface of oversamples image at 1146 5846 .272 .427 .602 .762 .857 .870 .849 .823 .715 .314 .474 .651 .818 .919 .922 .877 .830 .717 .354 .518 .694 .863 .965 .959 .895 .833 .721 .388 .556 .729 .894 .993 .978 .899 .827 .721 .415 .584 .752 .909 1.000 .975 .884 .808 .710 .430 .601 .763 .907 .987 .954 .854 .774 .686 .431 .604 .762 .891 .957 .916 .810 .726 .648 .419 .597 .752 .865 .915 .866 .754 .667 .596 .403 .584 .739 .837 .871 .814 .696 .603 .536 1146 -.344 5846 -10.781 4.90780 .114647 1.283109 .308934 Correlation Surface at 1346 5846 .046 .220 .482 .628 .680 .572 .333 .088 .099 .053 .216 .480 .681 .786 .655 .386 .089 .081 .069 .216 .489 .760 .897 .705 .439 .108 .074 .090 .223 .503 .834 .977 .712 .474 .150 .086 .108 .231 .512 .874 1.000 .684 .492 .219 .118 .116 .233 .509 .858 .954 .645 .506 .318 .171 .115 .226 .488 .793 .868 .624 .538 .440 .237 .115 .218 .453 .701 .784 .648 .601 .572 .299 .119 .217 .422 .612 .722 .730 .701 .689 .345 r_peak,r_snr = .2605058 3.68213 Correlation Surface of oversamples image at 1346 5846 1.697 2.280 3.013 3.455 3.305 2.745 2.358 2.346 2.294 1.595 2.101 2.834 3.407 3.427 2.945 2.531 2.502 2.527 1.472 1.889 2.602 3.300 3.520 3.156 2.732 2.681 2.767 1.453 1.789 2.482 3.302 3.743 3.529 3.110 3.035 3.162 1346 .688 5846 5.813 3.68213 .026862 .896386 .057664 Correlation Surface at 1446 5846 .002 .207 .381 .537 .987 .523 .135 .228 .001 .175 .410 .606 1.000 .486 .127 .230 .002 .151 .426 .631 .890 .418 .125 .218 .008 .144 .431 .603 .694 .345 .131 .201 .022 .154 .424 .531 .479 .283 .143 .182 .039 .173 .399 .428 .300 .237 .156 .167 r_peak,r_snr = .184926 6.39358 Correlation Surface of oversamples image at 1446 5846 .239 .267 .411 .644 .796 .706 .419 .180 .094 .275 .315 .471 .714 .881 .796 .487 .213 .107 .308 .362 .526 .774 .946 .862 .536 .239 .120 .337 .405 .575 .820 .986 .897 .564 .255 .130 .363 .444 .616 .850 1.000 .902 .570 .263 .140 .384 .478 .649 .864 .988 .879 .559 .264 .148 .402 .508 .673 .862 .953 .832 .532 .261 .155 .419 .534 .688 .844 .898 .767 .494 .253 .162 .433 .554 .692 .807 .823 .690 .451 .244 .168 1446 11.094 5846 -15.750 6.39358 .016210 .669922 .048630 Correlation Surface at 1546 5846 .604 .552 .607 .825 .912 .789 .681 .600 .459 .618 .562 .592 .828 .956 .817 .683 .626 .487 .620 .577 .592 .828 .986 .849 .687 .638 .523 .614 .594 .611 .831 1.000 .882 .691 .636 .558 .602 .610 .644 .838 1.000 .911 .697 .624 .584 .584 .623 .685 .849 .988 .930 .704 .609 .597 .561 .631 .723 .861 .965 .930 .709 .599 .596 .533 .629 .752 .871 .930 .908 .710 .595 .582 .502 .615 .764 .875 .887 .864 .705 .597 .557 r_peak,r_snr = .553113 1.97697 Correlation Surface of oversamples image at 1546 5846 .662 .716 .812 .913 .969 .950 .860 .732 .623 .686 .737 .826 .922 .979 .966 .879 .746 .627 .709 .760 .843 .933 .990 .982 .898 .762 .635 .730 .783 .861 .944 .999 .995 .915 .777 .645 .745 .801 .874 .949 1.000 .997 .920 .784 .651 .750 .812 .879 .945 .990 .987 .915 .784 .654 .758 .828 .892 .949 .987 .982 .913 .791 .666 1546 .250 5846 -6.250 1.97697 .010078 2.310545 -.073317 Correlation Surface at 1746 5846 .141 .175 .255 .460 .830 .794 .675 .750 .607 .129 .157 .264 .522 .893 .859 .696 .676 .571 .129 .139 .269 .589 .946 .904 .688 .604 .528 .141 .127 .264 .641 .983 .931 .659 .545 .484 .162 .121 .249 .659 1.000 .946 .629 .501 .447 .184 .118 .223 .631 .996 .956 .620 .467 .417 .198 .118 .194 .567 .969 .959 .642 .440 .382 .200 .119 .172 .496 .922 .956 .692 .417 .334 .189 .123 .167 .442 .863 .949 .760 .402 .281 r_peak,r_snr = .3958522 4.17256 Correlation Surface of oversamples image at 1746 5846 2.296 2.747 3.014 3.152 3.014 2.411 1.683 1.212 1.290 2.178 2.705 3.039 3.281 3.282 2.685 1.807 1.173 1.140 2.030 2.626 3.020 3.348 3.481 2.915 1.916 1.143 1.019 1.969 2.638 3.091 3.488 3.738 3.214 2.107 1.200 .998 1746 -2.469 5846 11.813 4.17256 .011110 2.717614 -.064472 Correlation Surface at 1846 5846 .520 .446 .580 .789 .759 .481 .478 .546 .435 .526 .465 .597 .834 .824 .530 .492 .543 .426 .528 .487 .629 .887 .900 .592 .518 .541 .418 .516 .503 .664 .936 .966 .646 .546 .542 .418 .491 .507 .686 .965 1.000 .670 .568 .549 .430 .460 .501 .689 .970 .997 .662 .575 .564 .460 .430 .488 .672 .951 .965 .627 .568 .586 .511 .407 .471 .641 .910 .916 .584 .553 .613 .580 .396 .457 .608 .855 .865 .550 .539 .640 .653 r_peak,r_snr = .4323078 2.07023 Correlation Surface of oversamples image at 1846 5846 .583 .645 .734 .848 .936 .902 .751 .605 .537 .600 .669 .759 .871 .961 .931 .778 .625 .550 .612 .689 .781 .892 .982 .952 .796 .636 .558 .618 .701 .797 .907 .995 .963 .803 .638 .558 .618 .706 .807 .916 1.000 .963 .798 .631 .552 .614 .706 .811 .920 1.000 .955 .784 .617 .541 .606 .699 .806 .916 .991 .939 .762 .597 .525 .591 .683 .792 .901 .971 .912 .733 .570 .505 .573 .663 .770 .878 .942 .878 .700 .542 .484 1846 -.344 5846 -2.188 2.07023 .008633 .639156 .006848 Correlation Surface at 2046 5846 .082 .014 .012 .160 .590 .521 .168 .034 .045 .119 .022 .022 .256 .759 .520 .169 .060 .059 .155 .035 .035 .356 .909 .501 .160 .095 .079 .175 .049 .051 .431 .997 .466 .144 .130 .106 .170 .060 .070 .467 1.000 .422 .128 .152 .138 .149 .065 .090 .469 .931 .377 .119 .156 .161 .125 .068 .113 .455 .821 .341 .119 .142 .166 .110 .074 .140 .436 .701 .316 .125 .117 .152 .111 .090 .168 .413 .594 .303 .133 .089 .127 r_peak,r_snr = .277016 6.2478 Correlation Surface of oversamples image at 2046 5846 .007 .049 .218 .549 .823 .801 .536 .272 .129 .011 .063 .259 .626 .905 .839 .528 .255 .126 .017 .078 .296 .689 .965 .856 .509 .234 .119 .023 .093 .327 .733 .997 .852 .482 .212 .111 .031 .108 .350 .755 1.000 .829 .450 .190 .102 .042 .124 .366 .756 .978 .792 .416 .170 .095 .053 .139 .374 .738 .933 .744 .383 .153 .088 .065 .150 .371 .700 .865 .683 .348 .137 .080 .076 .159 .361 .650 .785 .617 .315 .125 .075 2046 .031 5846 -1.906 6.24780 .004780 .697990 .026504 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .317575 10.48874 146 .156 3046 3.813 10.48875 .003082 .441074 -.014331 r_peak,r_snr = .2579858 7.48831 246 -1.813 3046 .906 7.48831 .017141 1.774393 .147030 r_peak,r_snr = .2209254 7.52859 346 -.438 3046 -2.188 7.52859 .005430 .611778 .007206 r_peak,r_snr = .2080846 19.92968 446 .031 3046 .188 19.92969 .004543 .151008 .007176 r_peak,r_snr = .4065521 4.83821 546 -.406 3046 -1.781 4.83821 .004840 .234395 .000966 r_peak,r_snr = .5206289 2.35718 646 -.594 3046 .031 2.35718 .004253 .203385 -.008992 r_peak,r_snr = .4518832 33.33549 746 -.125 3046 .281 33.33550 .000810 .024078 -.000039 r_peak,r_snr = .3017891 11.9112 846 .094 3046 1.031 11.91121 .008325 .403737 -.035492 r_peak,r_snr = .2299676 13.53204 946 .125 3046 -.875 13.53205 .008276 .318465 -.024176 r_peak,r_snr = .2733125 4.23408 1046 .344 3046 3.188 4.23408 .017553 1.901365 -.101511 r_peak,r_snr = .1583698 5.82022 1146 .156 3046 -.219 5.82022 .006043 .300691 -.004370 r_peak,r_snr = .3952036 10.75699 1346 .094 3046 -2.750 10.75700 .003648 .275489 .014166 r_peak,r_snr = .1493654 1.87921 1446 -.188 3046 -1.156 1.87921 .008921 1.759308 .064683 r_peak,r_snr = .3890949 6.1844 1546 -.188 3046 -.531 6.18440 .007153 .422759 -.037274 r_peak,r_snr = .1551341 6.0682 1646 11.719 3046 9.719 6.06820 .029986 1.188247 -.086201 r_peak,r_snr = .2236425 6.70044 1746 5.406 3046 -9.125 6.70044 .009839 .443341 .028449 r_peak,r_snr = .1373305 1.31286 1846 -3.438 3046 2.750 1.31286 .013493 8.226867 -.239086 r_peak,r_snr = .4423469 13.31309 1946 -.063 3046 .250 13.31309 .001724 .164340 -.005281 r_peak,r_snr = .2828763 8.35728 2046 .000 3046 .313 8.35728 .004544 .272620 -.000751 At line = 3400 Reading in data.... r_peak,r_snr = .3498304 5.19417 146 -.125 3446 .719 5.19417 .003227 .235098 -.005079 r_peak,r_snr = .2206855 4.71196 246 .125 3446 12.281 4.71196 .022491 .732744 .050950 r_peak,r_snr = .2709813 23.92139 346 .000 3446 .313 23.92139 .002231 .137369 -.005116 r_peak,r_snr = .3023127 15.13906 446 -.188 3446 1.281 15.13906 .002419 .095940 -.003947 r_peak,r_snr = .2758628 3.64432 546 -.156 3446 1.219 3.64432 .160603 21.712439 -1.828715 r_peak,r_snr = .3788914 3.07213 646 -.281 3446 2.125 3.07213 .005369 1.824528 .027401 r_peak,r_snr = .3831805 20.73701 746 .000 3446 -.219 20.73702 .001306 .034009 -.001791 r_peak,r_snr = .1635716 8.08083 846 4.406 3446 4.781 8.08083 .008299 1.363177 .007373 r_peak,r_snr = .1640178 6.40483 946 -.469 3446 -16.781 6.40483 .034102 1.542837 -.162126 r_peak,r_snr = .3584336 4.60161 1346 -1.844 3446 -6.750 4.60161 .049156 1.044583 -.165744 r_peak,r_snr = .2067378 9.35056 1446 .156 3446 -1.906 9.35056 .005705 .677336 .000012 r_peak,r_snr = .1369672 10.71648 1546 10.938 3446 12.813 10.71649 .022272 .382777 -.025666 r_peak,r_snr = .1319675 5.65158 1646 9.938 3446 -1.250 5.65158 .013909 1.465330 -.003841 r_peak,r_snr = .2110116 9.13333 1746 .094 3446 -4.031 9.13333 .010978 1.287510 .070273 r_peak,r_snr = .364035 3.97908 1846 -.281 3446 -.188 3.97908 .007080 .414533 -.005852 r_peak,r_snr = .1756591 3.50836 1946 -3.656 3446 2.969 3.50836 .004146 .555432 .011877 r_peak,r_snr = .2883943 15.80418 2046 .063 3446 -.156 15.80419 .004308 .248813 .011994 At line = 3800 Reading in data.... r_peak,r_snr = .2818865 8.90203 146 -.188 3846 -.219 8.90203 .003845 .539863 .021943 r_peak,r_snr = .1544404 11.8971 246 .094 3846 -.844 11.89711 .003697 .355998 -.005104 r_peak,r_snr = .5771909 2.93119 346 .063 3846 -.531 2.93119 .001920 .111450 -.002096 r_peak,r_snr = .3118753 20.39767 446 -.094 3846 -.094 20.39768 .002540 .120562 .001317 r_peak,r_snr = .1576956 9.42527 546 -.188 3846 .219 9.42527 .005622 1.175980 -.034328 r_peak,r_snr = .6126804 3.08417 646 -.469 3846 13.844 3.08417 .008325 .155878 .005691 r_peak,r_snr = .3938577 19.89114 746 .094 3846 .031 19.89115 .001553 .045071 -.001374 r_peak,r_snr = .2632687 5.39553 846 -.281 3846 .875 5.39553 .004687 .216192 -.005467 r_peak,r_snr = .309538 16.58227 946 .156 3846 .438 16.58228 .002711 .485830 -.013107 r_peak,r_snr = .1646142 7.26292 1046 -.156 3846 1.063 7.26292 .022850 .860888 -.015172 r_peak,r_snr = .1148559 6.93721 1146 .250 3846 -.500 6.93721 .013899 .315338 .020616 r_peak,r_snr = .215866 9.35224 1246 .031 3846 -.219 9.35224 .003920 .258629 -.012645 r_peak,r_snr = .3713337 4.76642 1346 -1.031 3846 -10.781 4.76642 .016799 17.607611 .474536 r_peak,r_snr = .1819593 4.79827 1446 .125 3846 1.594 4.79827 .003303 .314225 -.003747 r_peak,r_snr = .1118262 5.80695 1546 -4.813 3846 10.813 5.80695 .047015 2.671060 -.270564 r_peak,r_snr = .198755 5.03219 1646 -2.156 3846 -14.250 5.03219 .248484 1.373578 -.407831 r_peak,r_snr = .2132444 5.46415 1746 .469 3846 .344 5.46415 .009970 .379443 .014826 r_peak,r_snr = .3349589 4.40357 1846 -.719 3846 -2.781 4.40357 .036459 1.433686 .058790 r_peak,r_snr = .2646695 12.25629 1946 .188 3846 .063 12.25629 .002634 .344454 -.004534 r_peak,r_snr = .2734319 11.29619 2046 -.219 3846 1.188 11.29620 .003533 .543151 .001016 At line = 4200 Reading in data.... r_peak,r_snr = .4396216 9.11563 146 .125 4246 -.656 9.11563 .002200 .215312 .009601 r_peak,r_snr = .3673483 6.2604 246 -.031 4246 .031 6.26040 .002741 .249595 -.006202 r_peak,r_snr = .3518813 21.80828 346 -.094 4246 -.750 21.80828 .001481 .069302 -.002177 r_peak,r_snr = .4881018 3.34502 446 .094 4246 .438 3.34502 .002334 .087325 -.002581 r_peak,r_snr = .4029344 5.80916 546 -.063 4246 -1.875 5.80916 .006668 2.685996 .104529 r_peak,r_snr = .2408155 15.17593 746 .344 4246 -.531 15.17593 .004868 .243556 -.015965 r_peak,r_snr = .4057199 2.97521 846 -.188 4246 .156 2.97521 .005161 .271256 -.012777 r_peak,r_snr = .2041985 6.40435 1046 -.844 4246 9.688 6.40435 .007767 .824803 -.012814 r_peak,r_snr = .3066001 2.43808 1146 -3.594 4246 -13.781 2.43808 .017093 .862533 -.094085 r_peak,r_snr = .2260998 2.97936 1246 -2.813 4246 15.844 2.97936 .066719 7.673250 .497341 r_peak,r_snr = .4337494 5.73672 1346 -.625 4246 -1.469 5.73672 .007698 .736054 -.014527 r_peak,r_snr = 9.67342E-02 3.68969 1446 17.531 4246 8.688 3.68969 .056115 3.944432 -.258460 r_peak,r_snr = .4393411 8.7887 1646 -.031 4246 -2.500 8.78870 .002234 7.373096 .027170 r_peak,r_snr = .1360182 7.36222 1746 -10.156 4246 -3.031 7.36222 .039861 2.604662 -.277152 r_peak,r_snr = .471242 1.58423 1846 -13.813 4246 .250 1.58423 .024930 .572309 .005745 At line = 4600 Reading in data.... r_peak,r_snr = .4982361 10.59068 146 .063 4646 -1.750 10.59069 .001326 .182567 -.000285 r_peak,r_snr = .2435512 9.72134 246 .125 4646 3.813 9.72134 .012335 1.378702 -.061837 r_peak,r_snr = .256117 14.25821 346 -.063 4646 .156 14.25822 .002195 .069219 .000349 r_peak,r_snr = .3237967 6.76237 446 -.281 4646 -.750 6.76237 .009207 .536989 -.050716 r_peak,r_snr = .3821499 8.13225 546 .219 4646 -.750 8.13225 .003219 .251525 -.003286 r_peak,r_snr = .1748352 13.49678 646 -.125 4646 -.250 13.49679 .005432 .787315 .025947 r_peak,r_snr = .1286925 7.6115 746 -7.156 4646 -4.094 7.61150 .011664 .461956 .006522 r_peak,r_snr = .4896687 2.4081 846 -.063 4646 -2.750 2.40810 .011077 .812306 -.050293 r_peak,r_snr = .2058787 6.59943 946 10.531 4646 -.813 6.59943 .009674 3.084510 -.003636 r_peak,r_snr = .2120273 10.24556 1046 .031 4646 .250 10.24557 .003763 .584901 -.001051 r_peak,r_snr = .1703913 6.66037 1146 -9.188 4646 5.813 6.66037 .018347 .509249 -.064074 r_peak,r_snr = .3389093 11.21679 1246 -.313 4646 -1.031 11.21680 .002631 5.091853 .049191 r_peak,r_snr = .4177167 4.05771 1346 -.813 4646 -3.531 4.05771 .022025 2.914251 -.175166 r_peak,r_snr = .2461238 8.00923 1446 .125 4646 -.281 8.00923 .004312 .572148 -.006498 r_peak,r_snr = .4043427 6.77582 1546 -.031 4646 -.063 6.77582 .002949 .350476 .000198 r_peak,r_snr = .6055044 2.21963 1646 -5.344 4646 -5.250 2.21963 .003868 .147105 -.004766 r_peak,r_snr = .1395082 10.97122 1746 7.750 4646 5.250 10.97122 .015905 .319248 .009114 r_peak,r_snr = .1232283 1.13791 1846 -1.094 4646 3.813 1.13791 .143274 28.307148 -1.542315 r_peak,r_snr = .1104441 9.0403 1946 11.750 4646 .125 9.04030 .011279 .470439 -.005896 r_peak,r_snr = .2317927 12.28209 2046 .594 4646 -1.781 12.28209 .005104 .966825 .031493 At line = 5000 Reading in data.... r_peak,r_snr = .4251621 10.95325 146 .000 5046 .375 10.95326 .001384 .056566 -.003162 r_peak,r_snr = .2671672 6.83735 246 -.125 5046 -.219 6.83735 .004617 .610933 .009075 r_peak,r_snr = .279644 8.14419 346 -.031 5046 .000 8.14419 .004841 .092945 -.006075 r_peak,r_snr = .2746748 12.23565 546 .000 5046 .406 12.23565 .002968 .229551 .007378 r_peak,r_snr = .6723203 3.2656 646 -.625 5046 -3.500 3.26560 .003038 .118984 -.006453 r_peak,r_snr = .1412883 6.4934 746 2.594 5046 8.250 6.49340 .023935 2.678805 -.160343 r_peak,r_snr = .3891714 2.59841 846 -2.750 5046 16.813 2.59841 .015290 2.528033 -.112850 r_peak,r_snr = .1471932 4.58576 946 -.063 5046 .844 4.58576 .169734 30.617088 2.143239 r_peak,r_snr = .4366402 9.3532 1046 -.188 5046 .969 9.35320 .001655 .068180 -.000095 r_peak,r_snr = .3271202 13.31678 1146 -.156 5046 1.281 13.31679 .004259 .118300 .002964 r_peak,r_snr = .1899655 4.92335 1246 -.125 5046 -.813 4.92335 .013919 .784537 .015961 r_peak,r_snr = .3801172 5.78473 1346 .063 5046 1.656 5.78473 .003510 .261876 -.008003 r_peak,r_snr = .3019311 7.83795 1446 -.188 5046 -1.188 7.83795 .004588 .183226 .008079 r_peak,r_snr = .1898157 2.93874 1546 -.469 5046 -2.750 2.93874 .009157 1.535438 -.049923 r_peak,r_snr = .4243002 6.26521 1646 -.281 5046 -.156 6.26521 .004324 .212623 -.014771 r_peak,r_snr = .4733592 2.24877 1746 -.438 5046 .031 2.24877 .005295 .379755 -.006955 r_peak,r_snr = .3504216 5.42242 1946 -.094 5046 -.781 5.42242 .003571 .650307 -.005670 r_peak,r_snr = .1916756 9.6563 2046 .031 5046 -.875 9.65630 .004576 .216023 -.013423 At line = 5400 Reading in data.... r_peak,r_snr = .312268 18.06288 146 .188 5446 -.781 18.06289 .002171 .123970 -.000856 r_peak,r_snr = .2100335 24.80443 246 .063 5446 -.219 24.80443 .003333 .085231 -.004204 r_peak,r_snr = .2952351 12.8638 346 .125 5446 .250 12.86381 .003998 .123955 -.001610 r_peak,r_snr = .3390925 28.49606 446 .000 5446 .094 28.49607 .001417 .064816 .000187 r_peak,r_snr = .1686703 6.67582 546 1.406 5446 -7.250 6.67582 .014428 3.828053 .087685 r_peak,r_snr = .647752 2.10447 646 .094 5446 -.219 2.10447 .002168 .056456 .001538 r_peak,r_snr = .5571208 2.23252 746 .219 5446 -.188 2.23252 .003968 .139549 -.007402 r_peak,r_snr = .5429025 2.20416 846 .063 5446 -.781 2.20416 .003666 .905729 .014429 r_peak,r_snr = .2364868 9.33911 1046 -.094 5446 .156 9.33911 .005381 .336923 -.005392 r_peak,r_snr = .1509196 5.18445 1146 -.250 5446 -.063 5.18445 .008064 .466695 -.032303 r_peak,r_snr = .1444888 6.12896 1246 1.813 5446 -5.188 6.12896 .011911 5.842496 -.057269 r_peak,r_snr = .455261 4.02608 1646 -.156 5446 10.219 4.02608 .108118 2.622974 .469283 r_peak,r_snr = .29426 5.3282 1746 .031 5446 -.094 5.32820 .003972 .768839 .002163 r_peak,r_snr = .4054326 9.88007 1846 .094 5446 -.219 9.88007 .001808 .153713 .001287 r_peak,r_snr = .3672984 19.27485 1946 .219 5446 .219 19.27485 .001538 .037819 -.001385 r_peak,r_snr = .2178776 10.85597 2046 -.281 5446 .781 10.85598 .006846 .496406 .028430 At line = 5800 Reading in data.... r_peak,r_snr = .2989262 19.08858 146 .281 5846 -.313 19.08859 .002568 .123202 .003158 r_peak,r_snr = .4319258 2.59099 246 .219 5846 -.750 2.59099 .008737 .481020 .031668 r_peak,r_snr = .1747636 8.81969 346 .063 5846 -.625 8.81969 .018257 1.224697 .018673 r_peak,r_snr = .3551314 7.37846 446 .344 5846 .313 7.37846 .003073 .235862 -.001278 r_peak,r_snr = .5105566 8.14729 546 -.219 5846 -.781 8.14729 .002638 .120988 -.004663 r_peak,r_snr = .2223953 2.86745 646 9.125 5846 -11.813 2.86745 .049490 7.130240 -.413751 r_peak,r_snr = .2398663 15.40705 746 -.063 5846 .438 15.40706 .002743 .196440 -.005983 r_peak,r_snr = .4820831 3.2988 846 -.031 5846 1.219 3.29880 .012072 .191916 .015482 r_peak,r_snr = .2486781 7.1676 946 -.188 5846 .250 7.16760 .008647 .777842 -.031123 r_peak,r_snr = .150634 2.21157 1046 -2.156 5846 -13.281 2.21157 .011082 .624120 .018007 r_peak,r_snr = .2411004 7.63727 1146 .375 5846 .156 7.63727 .008853 .572187 .041439 r_peak,r_snr = .2247326 2.68913 1246 -6.875 5846 -9.188 2.68913 .056789 4.495383 -.450280 r_peak,r_snr = .2301445 4.57267 1346 -.406 5846 .219 4.57267 .013481 1.379228 -.070471 r_peak,r_snr = .1528244 9.7744 1446 .438 5846 -6.219 9.77440 .017479 3.600176 .111706 r_peak,r_snr = .558201 2.6363 1546 -.969 5846 14.719 2.63630 .045060 .502319 .082788 r_peak,r_snr = .4245407 3.25202 1646 .188 5846 .469 3.25202 .003727 .272384 -.008561 r_peak,r_snr = .5531442 6.51953 1746 .188 5846 .406 6.51953 .000993 .028778 -.000776 r_peak,r_snr = .4916456 3.82887 1846 -.250 5846 -.094 3.82887 .002091 .085341 -.002671 r_peak,r_snr = .1898747 14.30614 1946 .250 5846 -.219 14.30614 .004809 .456120 .011531 r_peak,r_snr = .1293003 6.45889 2046 .344 5846 -.688 6.45889 .019213 1.395083 .064734 ************************************************* ***** Integrated AIRSAR Processor ***** ***** ***** ***** Radiometric Calibration Program ***** ***** ***** ************************************************* ***** ***** ***** This program performs the following ***** ***** calibrations: ***** ***** ***** ***** (1) Phase calibration ***** ***** (2) Cross-talk removal ***** ***** (3) Antenna pattern removal ***** ***** (4) Scattering area removal ***** ***** ***** ***** If available, the topography is used ***** ***** when removing antenna patterns and ***** ***** scattering areas. In all cases, the ***** ***** aircraft roll is taken into account ***** ***** when the antenna pattern is removed. ***** ***** ***** ************************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of output file. Enter the name of the calibration file. 8 scanning calib for 92001 to 92999 block= 1 94050 12.00 6.00 12.00 0.79 0.24 -1.44 138.01 127.69 0.00 83.47 77.13 0.00 7.94 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 138.01 127.69 0.00 83.47 77.13 0.00 -53.66 0.00 0.00 0.00 83.15 scanning calib for 93001 to 93999 block= 2 94050 12.00 6.00 12.00 0.79 0.24 -1.44 132.537 1 122.870 1 78.937 87.40 81.00 94.30 -0.64 1 0.00 0.00 0.00 83.15 0.59 -1.19 -0.85 135.228 1 121.395 1 80.237 84.80 76.10 90.50 56.25 0.00 0.00 0.00 75.574 scanning calib for 94001 to 94999 block= 3 94050 FOUND CALIB SET 94050 12.0 12.0 12.0 12.0 6.00 12.00 .79 .0 .79 .0 0.24 -1.44 132.945 132.7599 132.945 132.7599 125.236 1 84.352 87.9 90.3 87.8 90.4 82.70 95.30 139.46 -77.87 70.382 .0 .0 .0 .0 phasedat ahh ahv avh avv: 27.6 -232.055 -235.06 -231.955 -235.16 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: 27.60 deg Receiver phase difference is -8.00 deg Transmitter phase difference is 19.60 deg Cable phase difference is 139.46 deg Reading data to estimate cross-talk. 256 512 768 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 Enter number of set to convert: Enter the cband filename: Enter the output filename: Reading new header..STARTING at 0 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 Tue May 5 03:12:07 PDT 1998