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 Thu Apr 30 12:47:25 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 @ 09:03:49 IDR=178900 FC=3,645,000 drft 9.0; started both ru ns early (lots of tape, and pilots on track); nice and smooth,8 43,480 drft -7.8 (started at -8.8); no photoruce Wheeler, Micha l Kobrick, Timothy William 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: 94047 94047 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5273 prod ID1:*5273*5273* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94047 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> 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 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 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 = 358.5 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 23-JUL-1994 Starting and end GPS times for SAR data -171772900.9310 -171772852.2760 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91249 53.86667 53.95667 .0257507 0 lond -104.55516 -104.58167 -104.52833 .0150596 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.29060 7647.73680 7661.75760 3.2971101 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87335 53.96341 .0258241 0 long -104.55706 -104.58317 -104.53039 .0151296 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8077.68018 8099.16016 6.3377424 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 = -171772900.930737 -171772900.931 GPS trend coefficients = 12.64438849426002 -32.2659387693029 10.51366302696849 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 delx .25721 .25719 .25722 .0000090 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91247 53.86833 53.95667 .0257659 0 lond -104.55517 -104.58167 -104.53000 .0150551 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.28631 7647.73680 7661.75760 3.2936514 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87519 53.96341 .0258192 0 long -104.55706 -104.58317 -104.53146 .0151267 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8085.58726 8087.44617 .3964505 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 .00573 -.16133 .17376 .0533585 0 ca .00304 -.09301 .12044 .0272535 0 aa -.02534 -.06916 .02743 .0147684 0 Average Barometric Altitude = 7957.628388750036 Average Radar Altitude = 7655.286314999978 Average GPS Altitude = 8086.425054931753 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.041417405360789E-04 Standard deviation of difference = 2.890547512215072E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8972588 -104.5443802 8086.017 End position = 53.9413872 -104.5702209 8085.937 Loxodromic Heading (deg) = -19.0686616 Loxodromic Distance (km) = 5196.8078896 Geodesic Heading (deg) = -19.0582222 Geodesic Distance (km) = 5196.8078310 Peg latitude and longitude = 53.9193344 -104.5572891 Peg heading = -19.0835881 Rotation matrix First row = -.148024735 -.124478484 -.981118640 Second row = -.570017337 .821430672 -.018217755 Third row = .808188662 .556557956 -.192546952 Translation vector Vector = -1971.16181 -7590.59899 -23821.27493 Local Radius of Curvature = 6378810.85774158 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2544792550929893 Delta s on reference surface = .2544792564689803 Making fits... Vertical fit coefficients = 8086.122612979212 2.588390401069773E-02 -2.834979779567703E-03 Cross track fit coefficients = 1.23776399481715 -2.624946088261977E-02 2.107119578362676E-03 Along track fit coefficients = -5312.33868802552 216.1692836745134 1.596638176649989E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3218.259912903883 Time orgin = -171772900.930737 Pulse spacing = .2572078735240478 First frame = 4413720 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/cm5273_c.par Enter the raw data file name. /data2/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5273_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): (158.8656,.0) (-190.639,.0) (-182.696,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 523007.5 Pulse#/64: 65 1073 391592.2 Pulse#/64: 129 1073 231209.2 Pulse#/64: 193 1073 855401.0 Pulse#/64: 257 1073 687668.2 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.3754Power RMS: 2.23027 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 762.1583Amp. RMS: 179.079 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -43.6864Phase RMS: 230.4003 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.49182 CalTone Power Coherently dB : 57.3754 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.49182 Incoherent PW - Coherent PW : 36.11642 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47147.76 CalTone Amplitude Coherently : 762.1583 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46385.6 ------------ *** ------------ running time (sec): 129.03 ********** 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/cm5273_c.par Enter the raw data file name. /data2/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5273_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): (-67.6782,.0) (79.62143,.0) (51.75393,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 779684.5 Pulse#/64: 65 1073 549634.1 Pulse#/64: 129 1073 629456.3 Pulse#/64: 193 1073 610634.0 Pulse#/64: 257 1073 570007.0 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.84293Power RMS: 1.65618 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 792.9937Amp. RMS: 141.7111 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -160.351Phase RMS: 234.6319 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.9749 CalTone Power Coherently dB : 57.84293 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.9749 Incoherent PW - Coherent PW : 36.13196 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 49858.76 CalTone Amplitude Coherently : 792.9937 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 49065.77 ------------ *** ------------ running time (sec): 113.07 ********** 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/cm5273_c.par Enter the raw data file name. /data2/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5273_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): (183.1293,.0) (-51.7539,.0) (-91.5647,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 708248.6 Pulse#/64: 65 1073 419026.8 Pulse#/64: 129 1073 618345.3 Pulse#/64: 193 1073 861161.3 Pulse#/64: 257 1073 1035346. Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.36115Power RMS: 1.65116 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 750.4841Amp. RMS: 132.1419 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -27.4906Phase RMS: 238.9189 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.47132 CalTone Power Coherently dB : 57.36115 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.47132 Incoherent PW - Coherent PW : 36.11017 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47199.41 CalTone Amplitude Coherently : 750.4841 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46448.92 ------------ *** ------------ running time (sec): 66.04 ********** 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/cm5273_c.par Enter the raw data file name. /data2/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5273_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): (-79.4328,.0) (-230.355,.0) (23.82984,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 703369.7 Pulse#/64: 65 1073 1021153. Pulse#/64: 129 1073 462341.0 Pulse#/64: 193 1073 926801.3 Pulse#/64: 257 1073 2266909. Estimate Caltone : 1366 -----CalTone Estimate Position --- CalTone Bin at : 1366 1073 CalTone Bin offset : -293 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.1213Power RMS: 2.14638 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 829.152Amp. RMS: 195.7338 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 111.2719Phase RMS: 251.9887 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.20906 CalTone Power Coherently dB : 58.1213 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.20906 Incoherent PW - Coherent PW : 36.08776 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 51345.1 CalTone Amplitude Coherently : 829.152 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 50515.94 ------------ *** ------------ running time (sec): 99.23 ********** 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: 1.25991 -3.02603E-05 z fit: constant and linear terms: .3024865 -8.49258E-11 y and z standard deviations (meters) .4331308 .3679376 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 = -.595235 -.601333 -.605255 -.603637 Differences = 6.13016E-03 3.20673E-05 -3.89016E-03 -2.27201E-03 PATCH NUMER 2 First line = 1889 Averages = -.605325 -.604286 -.594557 -.58131 Differences = -8.95548E-03 -7.91603E-03 1.81270E-03 1.50598E-02 PATCH NUMER 3 First line = 3777 Averages = -.597443 -.582297 -.57872 -.585774 Differences = -1.13844E-02 3.76147E-03 7.33858E-03 2.84851E-04 PATCH NUMER 4 First line = 5665 Averages = -.578396 -.585497 -.589286 -.589457 Differences = 7.26253E-03 1.61946E-04 -3.62664E-03 -3.79765E-03 PATCH NUMER 5 First line = 7553 Averages = -.588646 -.589341 -.590494 -.588474 Differences = 5.92709E-04 -1.02818E-04 -1.25510E-03 7.64728E-04 PATCH NUMER 6 First line = 9441 Averages = -.590486 -.58832 -.589419 -.583302 Differences = -2.60454E-03 -4.38035E-04 -1.53708E-03 4.57966E-03 PATCH NUMER 7 First line = 11329 Averages = -.58965 -.584367 -.577456 -.576811 Differences = -7.57921E-03 -2.29609E-03 4.61549E-03 5.26065E-03 PATCH NUMER 8 First line = 13217 Averages = -.578367 -.576495 -.578719 -.577546 Differences = -5.85079E-04 1.28686E-03 -9.37581E-04 2.35856E-04 PATCH NUMER 9 First line = 15105 Averages = -.578774 -.577477 -.580941 -.581481 Differences = 8.94725E-04 2.19119E-03 -1.27274E-03 -1.81299E-03 PATCH NUMER 10 First line = 16993 Averages = -.580433 -.582339 -.581567 -.588164 Differences = 2.69300E-03 7.86901E-04 1.55872E-03 -5.03850E-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.cp Please enter the name of the parameter file /data3/airops/cm5273_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) = 430.7999 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/cm5273_c.mocomph Output file name? /data3/airops/cm5273_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 = 2.537 Processing 10 blocks Processing block number 1 reference line: 2048 2.537 seconds. Range compression done, time = 80.062 shift in azimuth (fractional pixel)= -.49913 Motion comp. coeff. calculated, time = 80.098 Motion comp. added to patch, time = 127.519 Doppler estimation done, time = 127.519 Azimuth compression starting, time : 127.591 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 301.407 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 310.899 seconds. Range compression done, time = 364.869 shift in azimuth (fractional pixel)= -.499133 Motion comp. coeff. calculated, time = 364.889 Motion comp. added to patch, time = 402.931 Doppler estimation done, time = 402.931 Azimuth compression starting, time : 403.003 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 576.358 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 586.958 seconds. Range compression done, time = 640.865 shift in azimuth (fractional pixel)= -.499157 Motion comp. coeff. calculated, time = 640.886 Motion comp. added to patch, time = 679.277 Doppler estimation done, time = 679.277 Azimuth compression starting, time : 679.351 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 852.642 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 861.591 seconds. Range compression done, time = 915.320 shift in azimuth (fractional pixel)= -.499159 Motion comp. coeff. calculated, time = 915.340 Motion comp. added to patch, time = 954.315 Doppler estimation done, time = 954.315 Azimuth compression starting, time : 954.387 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1128.100 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1139.219 seconds. Range compression done, time = 1193.954 shift in azimuth (fractional pixel)= -.499158 Motion comp. coeff. calculated, time = 1193.974 Motion comp. added to patch, time = 1232.068 Doppler estimation done, time = 1232.068 Azimuth compression starting, time : 1232.140 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1406.148 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1414.689 seconds. Range compression done, time = 1469.251 shift in azimuth (fractional pixel)= -.49915 Motion comp. coeff. calculated, time = 1469.271 Motion comp. added to patch, time = 1507.556 Doppler estimation done, time = 1507.557 Azimuth compression starting, time : 1507.629 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1681.922 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1692.626 seconds. Range compression done, time = 1747.217 shift in azimuth (fractional pixel)= -.49914 Motion comp. coeff. calculated, time = 1747.238 Motion comp. added to patch, time = 1785.264 Doppler estimation done, time = 1785.265 Azimuth compression starting, time : 1785.337 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1959.285 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1967.090 seconds. Range compression done, time = 2020.989 shift in azimuth (fractional pixel)= -.499121 Motion comp. coeff. calculated, time = 2021.164 Motion comp. added to patch, time = 2059.272 Doppler estimation done, time = 2059.273 Azimuth compression starting, time : 2059.347 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2233.194 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2242.480 seconds. Range compression done, time = 2296.599 shift in azimuth (fractional pixel)= -.499132 Motion comp. coeff. calculated, time = 2296.619 Motion comp. added to patch, time = 2335.207 Doppler estimation done, time = 2335.207 Azimuth compression starting, time : 2335.281 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2507.956 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2515.571 seconds. Range compression done, time = 2570.018 shift in azimuth (fractional pixel)= -.499132 Motion comp. coeff. calculated, time = 2570.039 Motion comp. added to patch, time = 2607.822 Doppler estimation done, time = 2607.822 Azimuth compression starting, time : 2607.906 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2781.827 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_c.hh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 1904 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1903 1904 3008 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3007 Processing block number 3 3008 3819 27 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3818 3819 4923 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4922 Processing block number 4 4923 5716 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5715 5716 6820 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6819 Processing block number 5 6820 7603 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7602 7603 8707 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8706 Processing block number 6 8707 9482 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9481 9482 10586 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10585 Processing block number 7 10586 11362 -8 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11361 11362 12466 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12465 Processing block number 8 178 958 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13245 958 2062 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14349 Processing block number 9 2062 2846 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15133 2846 3950 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16237 Processing block number 10 3950 4131 6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16418 4131 5235 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17522 Writing the last 3287 lines Total # of output lines = 20809 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/cm5273_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) = 430.7999 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/cm5273_c.mocomph Output file name? /data3/airops/cm5273_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 = 2.292 Processing 10 blocks Processing block number 1 reference line: 2048 2.292 seconds. Range compression done, time = 59.515 shift in azimuth (fractional pixel)= -.49913 Motion comp. coeff. calculated, time = 59.536 Motion comp. added to patch, time = 99.290 Doppler estimation done, time = 99.290 Azimuth compression starting, time : 99.362 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 272.384 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 276.062 seconds. Range compression done, time = 329.559 shift in azimuth (fractional pixel)= -.499133 Motion comp. coeff. calculated, time = 329.580 Motion comp. added to patch, time = 368.845 Doppler estimation done, time = 368.845 Azimuth compression starting, time : 368.917 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 542.475 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 552.751 seconds. Range compression done, time = 606.763 shift in azimuth (fractional pixel)= -.499157 Motion comp. coeff. calculated, time = 606.784 Motion comp. added to patch, time = 646.076 Doppler estimation done, time = 646.076 Azimuth compression starting, time : 646.148 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 819.466 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 824.192 seconds. Range compression done, time = 877.757 shift in azimuth (fractional pixel)= -.499159 Motion comp. coeff. calculated, time = 877.777 Motion comp. added to patch, time = 917.754 Doppler estimation done, time = 917.754 Azimuth compression starting, time : 917.828 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1092.587 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1102.458 seconds. Range compression done, time = 1156.329 shift in azimuth (fractional pixel)= -.499158 Motion comp. coeff. calculated, time = 1156.349 Motion comp. added to patch, time = 1195.852 Doppler estimation done, time = 1195.852 Azimuth compression starting, time : 1195.926 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1370.637 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1374.200 seconds. Range compression done, time = 1429.466 shift in azimuth (fractional pixel)= -.49915 Motion comp. coeff. calculated, time = 1429.487 Motion comp. added to patch, time = 1467.734 Doppler estimation done, time = 1467.734 Azimuth compression starting, time : 1467.807 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1642.512 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1655.653 seconds. Range compression done, time = 1710.263 shift in azimuth (fractional pixel)= -.49914 Motion comp. coeff. calculated, time = 1710.283 Motion comp. added to patch, time = 1749.513 Doppler estimation done, time = 1749.514 Azimuth compression starting, time : 1749.586 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1926.270 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1929.618 seconds. Range compression done, time = 1983.326 shift in azimuth (fractional pixel)= -.499121 Motion comp. coeff. calculated, time = 1983.347 Motion comp. added to patch, time = 2023.436 Doppler estimation done, time = 2023.437 Azimuth compression starting, time : 2023.509 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2197.003 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2202.665 seconds. Range compression done, time = 2257.068 shift in azimuth (fractional pixel)= -.499132 Motion comp. coeff. calculated, time = 2257.088 Motion comp. added to patch, time = 2296.640 Doppler estimation done, time = 2296.640 Azimuth compression starting, time : 2296.715 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2471.352 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2479.004 seconds. Range compression done, time = 2532.838 shift in azimuth (fractional pixel)= -.499132 Motion comp. coeff. calculated, time = 2532.858 Motion comp. added to patch, time = 2572.388 Doppler estimation done, time = 2572.388 Azimuth compression starting, time : 2572.472 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2747.481 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_c.hv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 1904 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1903 1904 3008 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3007 Processing block number 3 3008 3819 27 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3818 3819 4923 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4922 Processing block number 4 4923 5716 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5715 5716 6820 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6819 Processing block number 5 6820 7603 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7602 7603 8707 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8706 Processing block number 6 8707 9482 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9481 9482 10586 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10585 Processing block number 7 10586 11362 -8 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11361 11362 12466 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12465 Processing block number 8 178 958 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13245 958 2062 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14349 Processing block number 9 2062 2846 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15133 2846 3950 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16237 Processing block number 10 3950 4131 6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16418 4131 5235 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17522 Writing the last 3287 lines Total # of output lines = 20809 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/cm5273_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) = 430.7999 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/cm5273_c.mocompv Output file name? /data3/airops/cm5273_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 = 2.309 Processing 10 blocks Processing block number 1 reference line: 2048 2.310 seconds. Range compression done, time = 59.503 Motion comp. coeff. calculated, time = 59.523 Motion comp. added to patch, time = 98.437 Doppler estimation done, time = 98.437 Azimuth compression starting, time : 98.510 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 272.381 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 276.046 seconds. Range compression done, time = 329.814 Motion comp. coeff. calculated, time = 329.834 Motion comp. added to patch, time = 367.535 Doppler estimation done, time = 367.535 Azimuth compression starting, time : 367.607 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 538.973 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 549.216 seconds. Range compression done, time = 602.515 Motion comp. coeff. calculated, time = 602.535 Motion comp. added to patch, time = 640.338 Doppler estimation done, time = 640.338 Azimuth compression starting, time : 640.412 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 811.740 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 815.332 seconds. Range compression done, time = 869.672 Motion comp. coeff. calculated, time = 869.692 Motion comp. added to patch, time = 907.579 Doppler estimation done, time = 907.579 Azimuth compression starting, time : 907.653 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1080.582 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1090.353 seconds. Range compression done, time = 1144.179 Motion comp. coeff. calculated, time = 1144.199 Motion comp. added to patch, time = 1181.993 Doppler estimation done, time = 1181.993 Azimuth compression starting, time : 1182.065 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1353.434 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1356.973 seconds. Range compression done, time = 1411.133 Motion comp. coeff. calculated, time = 1411.157 Motion comp. added to patch, time = 1448.943 Doppler estimation done, time = 1448.943 Azimuth compression starting, time : 1449.016 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1620.520 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1633.576 seconds. Range compression done, time = 1687.224 Motion comp. coeff. calculated, time = 1687.244 Motion comp. added to patch, time = 1725.043 Doppler estimation done, time = 1725.043 Azimuth compression starting, time : 1725.116 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1896.583 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1899.846 seconds. Range compression done, time = 1954.141 Motion comp. coeff. calculated, time = 1954.162 Motion comp. added to patch, time = 1991.930 Doppler estimation done, time = 1991.930 Azimuth compression starting, time : 1992.003 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2163.673 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2167.088 seconds. Range compression done, time = 2220.680 Motion comp. coeff. calculated, time = 2220.700 Motion comp. added to patch, time = 2259.447 Doppler estimation done, time = 2259.447 Azimuth compression starting, time : 2259.521 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2430.674 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2438.371 seconds. Range compression done, time = 2491.611 Motion comp. coeff. calculated, time = 2491.631 Motion comp. added to patch, time = 2529.904 Doppler estimation done, time = 2529.904 Azimuth compression starting, time : 2529.988 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2701.420 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_c.vh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 1904 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1903 1904 3008 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3007 Processing block number 3 3008 3819 27 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3818 3819 4923 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4922 Processing block number 4 4923 5716 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5715 5716 6820 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6819 Processing block number 5 6820 7603 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7602 7603 8707 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8706 Processing block number 6 8707 9482 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9481 9482 10586 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10585 Processing block number 7 10586 11362 -8 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11361 11362 12466 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12465 Processing block number 8 178 958 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13245 958 2062 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14349 Processing block number 9 2062 2846 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15133 2846 3950 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16237 Processing block number 10 3950 4131 6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16418 4131 5235 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17522 Writing the last 3287 lines Total # of output lines = 20809 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/cm5273_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) = 430.7999 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/cm5273_c.mocompv Output file name? /data3/airops/cm5273_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 = 2.306 Processing 10 blocks Processing block number 1 reference line: 2048 2.306 seconds. Range compression done, time = 58.694 Motion comp. coeff. calculated, time = 58.714 Motion comp. added to patch, time = 97.633 Doppler estimation done, time = 97.633 Azimuth compression starting, time : 97.705 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 269.829 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 273.512 seconds. Range compression done, time = 327.162 Motion comp. coeff. calculated, time = 327.182 Motion comp. added to patch, time = 364.894 Doppler estimation done, time = 364.894 Azimuth compression starting, time : 364.968 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 543.823 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 554.072 seconds. Range compression done, time = 607.163 Motion comp. coeff. calculated, time = 607.184 Motion comp. added to patch, time = 644.986 Doppler estimation done, time = 644.986 Azimuth compression starting, time : 645.058 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 831.057 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 834.720 seconds. Range compression done, time = 888.623 Motion comp. coeff. calculated, time = 888.643 Motion comp. added to patch, time = 926.438 Doppler estimation done, time = 926.438 Azimuth compression starting, time : 926.510 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1119.998 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1129.895 seconds. Range compression done, time = 1183.970 Motion comp. coeff. calculated, time = 1183.990 Motion comp. added to patch, time = 1222.386 Doppler estimation done, time = 1222.386 Azimuth compression starting, time : 1222.458 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1421.490 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1425.034 seconds. Range compression done, time = 1479.083 Motion comp. coeff. calculated, time = 1479.104 Motion comp. added to patch, time = 1516.900 Doppler estimation done, time = 1516.900 Azimuth compression starting, time : 1516.972 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1722.806 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1735.938 seconds. Range compression done, time = 1789.115 Motion comp. coeff. calculated, time = 1789.136 Motion comp. added to patch, time = 1827.083 Doppler estimation done, time = 1827.084 Azimuth compression starting, time : 1827.156 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2032.876 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2036.194 seconds. Range compression done, time = 2089.828 Motion comp. coeff. calculated, time = 2089.849 Motion comp. added to patch, time = 2128.157 Doppler estimation done, time = 2128.157 Azimuth compression starting, time : 2128.229 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2333.692 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2337.080 seconds. Range compression done, time = 2391.693 Motion comp. coeff. calculated, time = 2391.713 Motion comp. added to patch, time = 2430.381 Doppler estimation done, time = 2430.381 Azimuth compression starting, time : 2430.455 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2638.592 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2646.144 seconds. Range compression done, time = 2699.683 Motion comp. coeff. calculated, time = 2699.703 Motion comp. added to patch, time = 2737.469 Doppler estimation done, time = 2737.469 Azimuth compression starting, time : 2737.553 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2946.737 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_c.vv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 1904 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1903 1904 3008 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3007 Processing block number 3 3008 3819 27 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3818 3819 4923 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4922 Processing block number 4 4923 5716 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5715 5716 6820 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6819 Processing block number 5 6820 7603 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7602 7603 8707 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8706 Processing block number 6 8707 9482 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9481 9482 10586 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10585 Processing block number 7 10586 11362 -8 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11361 11362 12466 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12465 Processing block number 8 178 958 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13245 958 2062 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14349 Processing block number 9 2062 2846 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15133 2846 3950 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16237 Processing block number 10 3950 4131 6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16418 4131 5235 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17522 Writing the last 3287 lines Total # of output lines = 20809 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: 1156 *************************************** ***** ***** ***** 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 94047 writing parheadC writing parhead 20.0 writing parhead 94.0 writing parhead 93.5 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9496054 67.49214 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 19801 20701 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .012 .021 .097 .205 .444 .619 .516 .140 .024 .008 .002 .012 .171 .705 .916 .544 .100 .025 .007 .002 .009 .248 .887 .987 .358 .076 .090 .017 .003 .044 .377 .956 .815 .245 .067 .087 .002 .003 .088 .530 1.000 .576 .189 .061 .041 .000 .010 .068 .348 .702 .488 .275 .115 .036 .007 .002 .003 .108 .541 .608 .414 .154 .046 .008 .039 .003 .124 .561 .603 .408 .158 .017 .001 .020 .004 .182 .328 .519 .520 .156 .002 r_peak,r_snr = .142991 8.71511 Correlation Surface of oversamples image at 146 3046 .006 .110 .345 .618 .786 .767 .559 .287 .112 .012 .127 .375 .677 .850 .774 .504 .230 .091 .023 .150 .413 .741 .896 .764 .455 .191 .077 .041 .189 .490 .842 .956 .756 .417 .165 .066 .057 .233 .586 .948 1.000 .730 .379 .149 .064 .062 .255 .627 .962 .953 .660 .344 .154 .083 .054 .232 .562 .845 .828 .584 .339 .198 .141 .035 .163 .414 .660 .688 .531 .368 .278 .230 .012 .091 .283 .518 .602 .521 .423 .369 .313 146 -.719 3046 -10.281 8.71511 .024292 .152332 .017575 Correlation Surface at 246 3046 .135 .065 .132 .233 .314 .228 .172 .057 .024 .061 .017 .040 .254 .451 .346 .168 .077 .072 .061 .003 .051 .371 .665 .555 .222 .115 .100 .091 .018 .129 .383 .906 .778 .277 .119 .047 .181 .109 .111 .311 1.000 .800 .327 .119 .003 .257 .133 .089 .249 .795 .645 .370 .105 .000 .185 .158 .162 .195 .593 .576 .302 .042 .000 .263 .326 .159 .190 .540 .487 .174 .008 .001 .478 .306 .093 .133 .504 .474 .150 .010 .020 r_peak,r_snr = .1523695 5.23119 Correlation Surface of oversamples image at 246 3046 .008 .064 .203 .347 .401 .362 .297 .242 .188 .035 .149 .337 .509 .595 .567 .463 .346 .245 .092 .248 .448 .646 .791 .781 .605 .399 .253 .145 .291 .478 .725 .947 .930 .665 .392 .227 .158 .260 .439 .739 1.000 .945 .632 .355 .201 .132 .191 .354 .654 .891 .814 .538 .315 .188 .097 .126 .250 .482 .659 .614 .437 .286 .187 .079 .088 .161 .306 .440 .456 .368 .269 .185 .087 .078 .111 .209 .333 .388 .338 .250 .160 246 .188 3046 .406 5.23119 .017648 .171779 -.004089 Correlation Surface at 346 3046 .016 .036 .004 .068 .155 .021 .019 .019 .002 .047 .032 .002 .002 .058 .029 .021 .017 .000 .020 .027 .016 .002 .214 .087 .062 .040 .003 .007 .018 .025 .025 .782 .148 .066 .006 .035 .018 .025 .054 .088 1.000 .215 .000 .025 .075 .004 .028 .073 .041 .538 .185 .006 .037 .043 .048 .025 .157 .034 .098 .022 .006 .002 .001 .095 .105 .277 .142 .020 .004 .004 .022 .005 .160 .138 .072 .003 .197 .112 .013 .001 .000 r_peak,r_snr = .1280461 24.37056 Correlation Surface of oversamples image at 346 3046 .001 .001 .011 .085 .268 .299 .077 .011 .152 .000 .002 .027 .196 .510 .476 .109 .013 .170 .001 .000 .051 .364 .784 .633 .140 .007 .141 .007 .000 .088 .541 .980 .723 .181 .000 .069 .019 .001 .125 .628 1.000 .728 .223 .010 .011 .030 .001 .121 .556 .861 .651 .234 .032 .001 .037 .006 .058 .356 .627 .499 .189 .034 .004 .059 .043 .001 .133 .350 .299 .100 .011 .000 .128 .164 .053 .012 .135 .129 .029 .000 .004 346 .063 3046 -1.219 24.37057 .006356 .047433 .000004 Correlation Surface at 446 3046 .273 .135 .133 .344 .868 .837 .575 .160 .206 .188 .238 .451 .718 1.000 .820 .683 .216 .157 .196 .587 .782 .807 .576 .656 .705 .209 .172 .401 .660 .677 .484 .389 .637 .539 .242 .326 .470 .362 .484 .372 .523 .572 .419 .470 .446 .236 .183 .440 .597 .565 .466 .546 .616 .390 r_peak,r_snr = .1484931 2.91937 Correlation Surface of oversamples image at 446 3046 .020 .081 .202 .299 .345 .327 .235 .133 .093 .035 .108 .237 .389 .496 .459 .317 .200 .159 .060 .143 .310 .561 .723 .635 .441 .321 .262 .099 .202 .445 .798 .950 .770 .556 .458 .367 .150 .288 .614 .980 1.000 .750 .596 .552 .441 .200 .383 .733 .952 .805 .593 .553 .577 .473 .231 .442 .697 .700 .512 .421 .483 .552 .453 .244 .428 .517 .406 .298 .313 .427 .500 .395 .241 .342 .306 .213 .200 .271 .390 .432 .333 446 -2.219 3046 -14.000 2.91937 .112427 .077686 .058446 Correlation Surface at 546 3046 .240 .372 .375 .354 .678 .729 .372 .182 .135 .187 .259 .241 .304 .727 .752 .311 .177 .131 .180 .274 .232 .348 .846 .706 .270 .184 .155 .247 .308 .242 .454 .940 .618 .252 .164 .139 .304 .282 .312 .626 1.000 .585 .222 .118 .118 .257 .318 .419 .732 .975 .507 .210 .126 .139 .226 .321 .386 .643 .792 .458 .221 .154 .188 .256 .256 .302 .427 .656 .472 .229 .190 .246 .213 .236 .199 .267 .674 .578 .344 .327 .296 r_peak,r_snr = .235132 5.03889 Correlation Surface of oversamples image at 546 3046 .264 .248 .319 .502 .735 .849 .724 .457 .250 .274 .259 .347 .561 .815 .891 .689 .405 .231 .276 .278 .394 .641 .900 .906 .643 .369 .226 .282 .317 .467 .741 .970 .894 .603 .353 .225 .314 .387 .568 .841 1.000 .861 .574 .347 .219 .379 .479 .665 .895 .984 .815 .548 .341 .209 .461 .558 .710 .893 .938 .763 .522 .335 .202 .510 .573 .692 .845 .870 .709 .502 .333 .201 .480 .519 .623 .760 .785 .662 .489 .331 .204 546 -.031 3046 -7.281 5.03889 .038471 1.192005 .184205 Correlation Surface at 646 3046 .048 .005 .016 .249 .275 .099 .095 .118 .158 .032 .017 .027 .170 .314 .305 .198 .124 .168 .029 .020 .020 .210 .588 .587 .246 .114 .180 .026 .011 .017 .292 .871 .787 .295 .131 .179 .013 .013 .026 .326 1.000 .826 .354 .155 .123 .000 .003 .026 .331 .825 .653 .312 .122 .049 .010 .000 .051 .287 .509 .432 .233 .084 .032 .000 .015 .090 .158 .338 .376 .209 .088 .078 .030 .074 .073 .082 .400 .407 .197 .104 .119 r_peak,r_snr = .195854 10.63064 Correlation Surface of oversamples image at 646 3046 .014 .046 .152 .321 .469 .527 .469 .341 .231 .012 .058 .211 .439 .622 .673 .561 .378 .246 .019 .091 .295 .569 .776 .818 .657 .436 .291 .033 .136 .381 .687 .916 .942 .745 .509 .360 .049 .175 .446 .771 1.000 .996 .785 .564 .420 .056 .200 .480 .792 .983 .943 .747 .564 .435 .058 .211 .473 .728 .845 .783 .630 .498 .398 .065 .217 .431 .598 .646 .586 .490 .410 .343 .079 .211 .359 .452 .466 .431 .385 .345 .298 646 .219 3046 6.125 10.63065 .011899 .096588 .006674 Correlation Surface at 746 3046 .096 .040 .015 .000 .132 .133 .009 .000 .007 .006 .004 .006 .001 .120 .042 .007 .008 .001 .012 .050 .004 .007 .155 .075 .016 .001 .017 .001 .004 .000 .036 .510 .306 .006 .013 .017 .238 .017 .007 .025 1.000 .355 .188 .033 .004 .301 .073 .148 .019 .982 .140 .122 .001 .032 .117 .193 .293 .034 .616 .152 .006 .000 .054 .119 .286 .248 .035 .379 .236 .039 .001 .002 .036 .086 .067 .029 .163 .066 .004 .032 .081 r_peak,r_snr = .1038803 15.21117 Correlation Surface of oversamples image at 746 3046 .006 .004 .014 .116 .253 .264 .124 .008 .029 .011 .005 .012 .140 .393 .469 .207 .001 .130 .032 .022 .002 .163 .597 .712 .234 .014 .332 .086 .073 .000 .218 .837 .860 .171 .083 .483 .174 .132 .000 .316 1.000 .806 .087 .131 .386 .258 .147 .003 .419 .961 .608 .049 .072 .141 .299 .110 .025 .456 .763 .439 .071 .000 .003 .299 .066 .052 .405 .577 .407 .193 .084 .051 .277 .039 .061 .330 .511 .521 .434 .282 .132 746 .156 3046 .500 15.21117 .009335 .119421 .003686 Correlation Surface at 846 3046 .113 .000 .040 .056 .234 .003 .003 .122 .101 .009 .103 .228 .002 .220 .001 .136 .006 .248 .013 .166 .180 .008 .586 .000 .342 .003 .293 .013 .042 .065 .021 .928 .001 .248 .001 .272 .002 .006 .070 .029 1.000 .016 .079 .045 .173 .000 .020 .114 .079 .682 .000 .048 .014 .028 .034 .074 .061 .064 .119 .040 .117 .022 .017 .071 .133 .014 .001 .001 .034 .171 .006 .047 .112 .102 .014 .002 .028 .004 .074 .005 .067 r_peak,r_snr = .1106051 15.83275 Correlation Surface of oversamples image at 846 3046 .325 .075 .023 .320 .515 .179 .030 .434 .584 .149 .024 .055 .479 .769 .267 .027 .462 .600 .067 .012 .069 .587 .920 .308 .020 .389 .465 .060 .021 .062 .637 .973 .332 .006 .253 .266 .099 .036 .073 .706 1.000 .360 .000 .127 .114 .138 .024 .137 .808 .981 .363 .005 .055 .041 .123 .001 .254 .835 .844 .300 .007 .031 .018 .069 .016 .330 .694 .585 .182 .001 .029 .019 .027 .048 .292 .447 .320 .078 .001 .041 .037 846 -.156 3046 1.344 15.83275 .005131 .197564 .004757 Correlation Surface at 946 3046 .024 .001 .013 .015 .108 .072 .002 .007 .009 .032 .016 .003 .131 .396 .193 .005 .008 .008 .041 .029 .018 .333 .736 .332 .001 .012 .000 .052 .039 .027 .465 .959 .287 .018 .000 .007 .057 .054 .032 .530 1.000 .215 .002 .001 .000 .056 .028 .047 .374 .821 .190 .000 .020 .001 .028 .002 .011 .177 .537 .139 .000 .000 .040 .001 .002 .000 .134 .460 .152 .017 .038 .052 .000 .013 .003 .188 .480 .226 .041 .015 .074 r_peak,r_snr = .1609092 16.49332 Correlation Surface of oversamples image at 946 3046 .007 .051 .163 .340 .460 .428 .269 .085 .005 .007 .079 .264 .528 .689 .629 .353 .075 .000 .010 .114 .377 .717 .893 .753 .340 .033 .010 .011 .146 .469 .844 .998 .758 .257 .006 .024 .012 .176 .522 .882 1.000 .680 .174 .000 .020 .018 .206 .530 .847 .931 .579 .131 .001 .005 .031 .215 .480 .744 .801 .487 .127 .009 .000 .036 .174 .364 .571 .624 .401 .138 .030 .009 .024 .102 .223 .381 .448 .325 .150 .054 .018 946 -.063 3046 -1.719 16.49333 .008267 .275138 .002776 Correlation Surface at 1046 3046 .000 .000 .003 .003 .019 .038 .021 .101 .069 .001 .000 .011 .001 .077 .091 .042 .085 .086 .002 .018 .049 .003 .249 .189 .024 .010 .037 .031 .092 .078 .039 .704 .327 .001 .003 .000 .086 .148 .050 .151 1.000 .302 .001 .000 .005 .156 .137 .023 .138 .536 .154 .013 .003 .000 .090 .068 .002 .097 .176 .041 .000 .002 .004 .035 .009 .043 .120 .074 .001 .031 .001 .002 .027 .024 .128 .085 .000 .054 .011 .009 .001 r_peak,r_snr = .1734879 34.57758 Correlation Surface of oversamples image at 1046 3046 .102 .089 .015 .025 .177 .308 .261 .120 .047 .151 .111 .010 .069 .335 .483 .318 .097 .016 .208 .127 .002 .161 .569 .676 .356 .067 .000 .230 .104 .003 .305 .817 .829 .359 .039 .006 .202 .055 .035 .468 1.000 .863 .304 .024 .006 .139 .017 .083 .553 .967 .715 .234 .029 .000 .079 .002 .102 .452 .663 .463 .180 .056 .021 .047 .000 .071 .254 .344 .251 .134 .076 .045 .028 .000 .030 .112 .155 .130 .093 .060 .028 1046 .125 3046 -.375 34.57758 .004880 .021195 .002274 Correlation Surface at 1146 3046 .018 .001 .035 .013 .011 .008 .000 .103 .001 .021 .078 .004 .000 .002 .027 .008 .023 .024 .052 .117 .087 .006 .027 .168 .001 .116 .023 .016 .154 .098 .037 .369 .359 .107 .306 .029 .003 .066 .020 .156 1.000 .257 .178 .167 .011 .001 .002 .000 .256 .610 .062 .095 .010 .026 .015 .001 .001 .042 .036 .000 .004 .035 .041 .009 .000 .007 .026 .057 .022 .015 .065 .015 .001 .001 .026 .059 .216 .044 .007 .019 .033 r_peak,r_snr = 8.77262E-02 13.47888 Correlation Surface of oversamples image at 1146 3046 .212 .127 .061 .041 .049 .088 .092 .005 .116 .235 .119 .075 .097 .170 .247 .156 .000 .255 .179 .107 .137 .271 .451 .474 .182 .012 .394 .125 .141 .309 .614 .813 .616 .138 .045 .456 .108 .236 .579 .964 1.000 .558 .069 .072 .383 .117 .342 .732 .986 .814 .329 .017 .067 .207 .127 .338 .565 .602 .364 .083 .000 .040 .051 .108 .195 .226 .156 .036 .001 .016 .011 .000 .048 .038 .014 .000 .039 .077 .032 .000 .051 1146 4.719 3046 -10.313 13.47888 .017599 .047917 .010318 Correlation Surface at 1246 3046 .002 .008 .024 .352 .693 .224 .101 .276 .091 .020 .017 .029 .361 .622 .158 .077 .151 .023 .054 .025 .011 .263 .572 .205 .119 .117 .050 .029 .030 .003 .189 .717 .397 .209 .172 .114 .006 .107 .029 .281 1.000 .530 .174 .180 .113 .037 .258 .013 .440 .960 .311 .116 .206 .096 .107 .135 .023 .387 .495 .177 .222 .261 .089 .017 .001 .076 .166 .246 .297 .335 .176 .064 .014 .002 .012 .085 .327 .344 .151 .048 .087 r_peak,r_snr = .1629892 8.66165 Correlation Surface of oversamples image at 1246 3046 .020 .002 .136 .434 .574 .402 .203 .149 .193 .072 .002 .118 .486 .682 .526 .340 .280 .291 .148 .006 .151 .602 .817 .683 .507 .406 .338 .198 .001 .239 .742 .940 .825 .630 .442 .292 .169 .006 .362 .844 1.000 .882 .634 .373 .212 .091 .043 .439 .821 .924 .784 .509 .267 .167 .024 .087 .406 .652 .703 .569 .355 .210 .190 .000 .103 .297 .433 .454 .370 .266 .225 .281 .006 .079 .175 .252 .273 .249 .237 .279 .382 1246 -.031 3046 2.500 8.66165 .011118 .132818 .016102 Correlation Surface at 1346 3046 .022 .171 .276 .083 .044 .005 .043 .019 .000 .082 .252 .074 .024 .072 .001 .031 .001 .034 .087 .060 .002 .065 .339 .008 .034 .000 .010 .009 .009 .034 .213 .921 .031 .075 .014 .011 .008 .076 .062 .308 1.000 .006 .084 .051 .047 .037 .106 .084 .181 .465 .008 .007 .060 .109 .073 .242 .205 .026 .142 .063 .003 .043 .104 .153 .495 .274 .000 .048 .035 .004 .002 .002 .106 .362 .158 .007 .013 .003 .027 .028 .022 r_peak,r_snr = .1232962 20.86195 Correlation Surface of oversamples image at 1346 3046 .009 .017 .053 .104 .097 .021 .006 .032 .026 .000 .009 .074 .195 .238 .107 .004 .014 .031 .010 .004 .103 .344 .484 .275 .033 .010 .050 .026 .002 .141 .542 .785 .455 .058 .015 .083 .039 .001 .187 .732 1.000 .523 .050 .029 .108 .041 .002 .238 .827 .993 .436 .024 .036 .100 .033 .006 .261 .764 .789 .286 .009 .023 .060 .028 .009 .229 .583 .533 .173 .009 .003 .018 .041 .003 .156 .384 .335 .124 .024 .005 .000 1346 -.125 3046 .813 20.86196 .005854 .057841 .000606 Correlation Surface at 1446 3046 .012 .194 .183 .055 .001 .002 .023 .093 .214 .013 .111 .051 .006 .011 .006 .000 .066 .146 .001 .016 .005 .032 .214 .048 .003 .006 .052 .001 .014 .001 .076 .683 .206 .001 .003 .096 .016 .004 .074 .065 1.000 .332 .014 .033 .220 .032 .047 .252 .040 .961 .380 .041 .089 .204 .000 .209 .256 .088 .821 .386 .077 .159 .123 .010 .244 .082 .155 .571 .322 .157 .266 .101 .003 .102 .002 .191 .388 .269 .204 .359 .110 r_peak,r_snr = .1230701 13.07088 Correlation Surface of oversamples image at 1446 3046 .014 .004 .006 .088 .213 .193 .073 .014 .000 .015 .005 .016 .189 .446 .420 .198 .060 .010 .027 .009 .031 .331 .721 .664 .328 .104 .018 .054 .016 .048 .462 .926 .812 .386 .111 .018 .101 .026 .059 .537 1.000 .834 .373 .097 .016 .166 .037 .067 .561 .975 .782 .333 .082 .016 .221 .035 .087 .575 .924 .725 .308 .084 .026 .227 .015 .132 .594 .864 .673 .309 .113 .052 .172 .000 .189 .580 .756 .593 .316 .160 .094 1446 .125 3046 .500 13.07088 .008158 .190010 -.011138 Correlation Surface at 1546 3046 .182 .002 .047 .301 .263 .156 .031 .129 .158 .273 .206 .083 .013 .076 .457 .177 .008 .000 .216 .765 .021 .013 .023 .352 1.000 .033 .021 .074 .367 .769 .084 .003 .105 .290 .387 .015 .025 .125 .205 .385 .023 .058 .100 .312 .546 r_peak,r_snr = .1050412 8.22411 Correlation Surface of oversamples image at 1546 3046 .030 .130 .380 .581 .534 .376 .270 .215 .176 .032 .232 .578 .751 .686 .534 .396 .305 .252 .090 .408 .753 .876 .843 .703 .511 .376 .317 .216 .571 .841 .963 .974 .806 .543 .378 .316 .341 .622 .828 .984 1.000 .774 .477 .312 .234 .372 .548 .727 .885 .861 .627 .369 .218 .122 .304 .403 .553 .665 .627 .461 .275 .139 .041 .205 .258 .359 .429 .434 .367 .241 .102 .010 .129 .157 .222 .290 .362 .374 .272 .101 .004 1546 14.313 3046 -5.125 8.22411 .052543 .193369 .051430 Correlation Surface at 1646 3046 .298 .437 .026 .051 .021 .009 .320 .048 .100 .424 .514 .004 .066 .006 .197 .332 .199 .475 .308 .279 .006 .001 .110 .270 .333 .286 .308 .170 .101 .008 .010 .320 .572 .141 .003 .052 .036 .020 .019 .078 1.000 .455 .062 .047 .024 .001 .043 .049 .268 .870 .034 .055 .031 .030 .000 .230 .056 .149 .218 .067 .187 .184 .018 .022 .111 .046 .003 .024 .303 .379 .026 .001 .049 .008 .084 .032 .000 .211 .016 .083 .004 r_peak,r_snr = 6.33002E-02 5.39479 Correlation Surface of oversamples image at 1646 3046 .707 .953 .775 .514 .374 .291 .178 .031 .015 .284 .405 .423 .586 .982 1.169 .699 .114 .020 .065 .132 .288 .895 1.947 2.137 .973 .074 .080 .009 .074 .444 1.697 3.176 2.712 .852 .012 .146 1646 7.031 3046 4.844 5.39479 .046693 .159768 .051417 Correlation Surface at 1746 3046 .021 .343 .044 .214 .716 .146 .074 .038 .478 .220 .272 .002 .510 .432 .000 .202 .017 .326 .311 .128 .032 .349 .204 .003 .085 .000 .056 .114 .069 .013 .106 .423 .116 .045 .053 .007 .124 .178 .046 .139 1.000 .067 .219 .245 .038 .434 .614 .258 .140 .720 .015 .584 .344 .002 .518 .624 .356 .045 .211 .099 .544 .197 .017 .193 .428 .364 .000 .026 .042 .306 .092 .000 .084 .386 .423 .074 .003 .005 .202 .341 .057 r_peak,r_snr = 8.42444E-02 5.8433 Correlation Surface of oversamples image at 1746 3046 .266 .573 .773 .876 .726 .264 .000 .140 .207 .255 .450 .567 .704 .678 .313 .012 .080 .172 .126 .224 .346 .594 .739 .448 .050 .049 .207 .008 .048 .184 .551 .880 .596 .065 .088 .414 .051 .002 .080 .531 1.000 .615 .021 .271 .857 .284 .089 .015 .451 .913 .418 .010 .662 1.371 .655 .312 .005 .274 .583 .143 .158 1.079 1.621 1.084 .620 .068 .096 .237 .007 .359 1.200 1.466 1.481 .885 .162 .011 .054 .013 .402 .979 1.077 1746 2.531 3046 -2.938 5.84330 .012578 .071743 .008702 Correlation Surface at 1846 3046 .047 .020 .007 .001 .039 .124 .042 .013 .037 .035 .012 .006 .011 .131 .154 .013 .046 .045 .004 .000 .005 .124 .393 .146 .006 .054 .025 .053 .001 .037 .316 .779 .278 .075 .002 .001 .022 .001 .049 .474 1.000 .477 .233 .020 .012 .000 .001 .093 .521 .722 .462 .229 .026 .027 .000 .012 .114 .328 .328 .321 .100 .034 .036 .005 .000 .040 .122 .173 .153 .071 .062 .048 .105 .029 .009 .071 .098 .041 .071 .085 .048 r_peak,r_snr = .1485724 20.22561 Correlation Surface of oversamples image at 1846 3046 .042 .059 .085 .123 .212 .337 .334 .157 .017 .045 .081 .140 .233 .409 .566 .467 .201 .027 .046 .105 .213 .393 .672 .814 .593 .247 .044 .053 .146 .311 .571 .906 .980 .655 .273 .066 .080 .214 .408 .694 1.000 .981 .618 .272 .090 .132 .280 .453 .704 .922 .828 .513 .259 .117 .187 .302 .425 .610 .729 .609 .393 .245 .135 .212 .272 .350 .474 .519 .415 .298 .230 .127 .186 .214 .276 .356 .358 .286 .242 .202 .090 1846 -.250 3046 -.125 20.22562 .014909 .066463 .000255 Correlation Surface at 1946 3046 .009 .012 .012 .005 .046 .097 .025 .074 .298 .032 .010 .010 .056 .190 .036 .066 .004 .049 .147 .103 .001 .141 .465 .433 .098 .028 .026 .333 .148 .000 .196 .885 .483 .105 .039 .006 .343 .062 .010 .345 1.000 .422 .141 .002 .045 .246 .002 .007 .457 .521 .408 .057 .056 .014 .115 .023 .109 .118 .043 .158 .001 .120 .001 r_peak,r_snr = 8.35883E-02 8.06167 Correlation Surface of oversamples image at 1946 3046 .026 .002 .005 .034 .075 .103 .129 .120 .047 .028 .003 .013 .086 .224 .341 .324 .165 .028 .013 .002 .033 .197 .495 .658 .478 .170 .023 .002 .004 .078 .379 .801 .892 .540 .176 .036 .000 .015 .171 .588 1.000 .957 .544 .204 .063 .003 .056 .299 .714 .975 .834 .488 .222 .077 .020 .134 .399 .669 .725 .561 .347 .176 .053 .076 .226 .402 .459 .369 .248 .161 .086 .015 .165 .260 .278 .193 .093 .044 .034 .020 .000 1946 4.688 3046 12.094 8.06167 .034628 .151407 .019849 Correlation Surface at 2046 3046 .042 .000 .005 .010 .009 .077 .246 .151 .194 .074 .119 .050 .002 .038 .240 .495 .010 .178 .268 .443 .025 .000 .005 .028 .252 .020 .003 .209 .362 .004 .000 .283 .215 .184 .060 .034 .043 .274 .004 .002 1.000 .222 .099 .013 .002 .181 .106 .107 .031 .913 .085 .005 .111 .001 .266 .034 .004 .213 .661 .023 .029 .001 .049 .325 .075 .057 .199 .209 .042 .038 .133 .002 .403 .004 .033 .092 .000 .138 .018 .054 .015 r_peak,r_snr = 6.54430E-02 9.63379 Correlation Surface of oversamples image at 2046 3046 .010 .110 .119 .065 .020 .013 .063 .150 .052 .014 .100 .085 .013 .019 .039 .019 .256 .245 .004 .048 .018 .035 .309 .250 .015 .471 .535 .000 .013 .003 .278 .811 .362 .053 .639 .593 .000 .006 .044 .586 1.000 .230 .123 .543 .337 .015 .014 .081 .652 .731 .073 .144 .303 .107 .090 .024 .091 .482 .392 .015 .110 .152 .027 .150 .014 .085 .308 .213 .002 .111 .144 .019 .098 .000 .082 .215 .127 .005 .225 .263 .050 2046 -10.594 3046 -11.500 9.63379 .016592 .110558 .007996 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .015 .011 .010 .037 .066 .072 .000 .072 .090 .027 .004 .028 .059 .117 .069 .008 .083 .055 .038 .005 .023 .190 .479 .175 .008 .038 .006 .002 .000 .014 .415 .890 .287 .000 .004 .000 .074 .055 .002 .451 1.000 .396 .041 .004 .007 .198 .092 .001 .366 .859 .429 .102 .039 .002 .160 .021 .013 .306 .656 .337 .182 .088 .002 .057 .000 .037 .311 .476 .242 .219 .044 .003 .004 .002 .052 .209 .306 .211 .082 .003 .020 r_peak,r_snr = .1492678 16.47995 Correlation Surface of oversamples image at 146 3446 .030 .074 .116 .178 .246 .255 .175 .063 .003 .030 .092 .198 .352 .474 .463 .299 .101 .007 .023 .112 .301 .553 .725 .679 .416 .137 .013 .011 .119 .380 .715 .916 .821 .485 .167 .025 .001 .106 .409 .796 1.000 .856 .503 .194 .042 .001 .083 .397 .797 .968 .799 .483 .209 .058 .003 .076 .385 .757 .873 .708 .449 .212 .073 .000 .094 .390 .701 .766 .627 .420 .221 .104 .012 .135 .399 .639 .682 .581 .416 .260 .175 146 .031 3446 -.375 16.47995 .013237 .265897 -.017553 Correlation Surface at 246 3446 .001 .078 .129 .068 .463 .145 .008 .003 .041 .001 .121 .167 .034 .464 .166 .000 .035 .032 .000 .120 .157 .031 .501 .155 .002 .042 .011 .003 .166 .144 .054 .671 .279 .002 .036 .000 .036 .238 .135 .130 1.000 .470 .006 .010 .012 .091 .285 .137 .151 .991 .495 .008 .000 .011 .148 .317 .180 .066 .844 .441 .000 .006 .001 .163 .310 .180 .059 .839 .302 .028 .058 .008 .100 .206 .058 .138 .628 .154 .048 .053 .002 r_peak,r_snr = .1738145 16.27471 Correlation Surface of oversamples image at 246 3446 .003 .052 .272 .484 .428 .206 .042 .001 .049 .003 .051 .303 .590 .583 .333 .089 .000 .057 .005 .058 .371 .751 .793 .493 .143 .000 .049 .006 .072 .438 .878 .954 .611 .179 .002 .027 .005 .081 .453 .897 1.000 .649 .190 .007 .007 .006 .069 .396 .826 .964 .625 .181 .011 .001 .013 .037 .310 .745 .913 .569 .152 .009 .000 .032 .014 .260 .721 .873 .492 .107 .002 .003 .048 .009 .278 .761 .833 .408 .065 .001 .013 246 .344 3446 1.406 16.27472 .005464 .092724 -.000520 Correlation Surface at 346 3446 .326 .411 .510 .778 .953 .735 .528 .443 .359 .427 .606 .650 .801 .896 .644 .496 .405 .334 .553 .648 .623 .651 .794 .726 .579 .438 .386 .383 .406 .453 .592 .892 .890 .586 .487 .521 .255 .248 .346 .642 1.000 .796 .495 .537 .613 .296 .218 .309 .664 .902 .598 .459 .525 .425 .340 .222 .332 .673 .794 .558 .446 .389 .228 .258 .201 .426 .708 .820 .539 .348 .275 .248 .141 .232 .547 .775 .823 .405 .259 .281 .339 r_peak,r_snr = .220422 3.00923 Correlation Surface of oversamples image at 346 3446 .581 .583 .638 .674 .637 .578 .559 .573 .565 .510 .520 .597 .673 .693 .676 .650 .616 .562 .451 .496 .616 .744 .814 .799 .721 .628 .555 .433 .520 .682 .852 .935 .882 .738 .609 .542 .446 .568 .763 .945 1.000 .885 .701 .570 .530 .453 .603 .812 .975 .970 .806 .623 .520 .519 .438 .603 .812 .935 .872 .691 .536 .478 .517 .414 .587 .783 .864 .767 .592 .473 .460 .529 .410 .583 .753 .804 .701 .539 .450 .470 .544 346 .313 3446 -.250 3.00923 .030900 .187360 .042076 Correlation Surface at 446 3446 .050 .142 .276 .308 .154 .020 .007 .018 .083 .154 .154 .051 .008 .040 .113 .028 .008 .083 .114 .046 .000 .001 .061 .274 .014 .067 .010 .032 .012 .004 .030 .411 .515 .017 .010 .078 .000 .001 .008 .172 1.000 .783 .128 .076 .357 .001 .002 .016 .262 .793 .662 .196 .382 .433 .011 .015 .076 .201 .382 .434 .312 .569 .163 .018 .049 .112 .085 .222 .434 .587 .439 .033 .010 .046 .034 .007 .191 .561 .648 .296 .014 r_peak,r_snr = .1001962 9.42846 Correlation Surface of oversamples image at 446 3446 .008 .001 .057 .321 .514 .346 .107 .005 .014 .005 .008 .173 .555 .704 .436 .158 .026 .000 .002 .038 .311 .757 .875 .603 .324 .126 .034 .001 .069 .400 .845 .983 .818 .579 .291 .123 .000 .088 .409 .809 1.000 .982 .761 .393 .202 .001 .089 .354 .682 .920 .985 .736 .371 .243 .004 .072 .248 .491 .746 .822 .573 .301 .269 .005 .038 .122 .286 .534 .622 .431 .269 .306 .000 .004 .029 .134 .362 .481 .373 .290 .366 446 -.156 3446 .719 9.42846 .027191 .055582 .007415 Correlation Surface at 546 3446 .040 .022 .072 .173 .361 .355 .134 .053 .066 .054 .000 .000 .046 .258 .348 .193 .049 .014 .029 .005 .000 .099 .511 .648 .366 .066 .004 .018 .003 .002 .226 .902 .886 .378 .086 .010 .004 .015 .005 .433 1.000 .623 .204 .066 .009 .006 .035 .021 .526 .752 .302 .066 .025 .000 .080 .079 .018 .411 .538 .170 .016 .007 .002 .127 .097 .015 .318 .414 .124 .007 .002 .012 .102 .061 .026 .239 .336 .118 .002 .014 .082 r_peak,r_snr = .1494122 12.4094 Correlation Surface of oversamples image at 546 3446 .021 .068 .204 .425 .568 .505 .361 .256 .172 .020 .086 .263 .532 .700 .633 .464 .314 .172 .023 .118 .352 .684 .868 .768 .538 .319 .147 .033 .174 .473 .840 .992 .816 .511 .258 .112 .063 .271 .620 .958 1.000 .722 .387 .172 .085 .129 .401 .753 .981 .878 .542 .249 .106 .070 .212 .518 .799 .881 .686 .366 .146 .062 .054 .264 .555 .735 .727 .516 .245 .083 .032 .032 .260 .510 .644 .624 .434 .193 .053 .015 .015 546 .344 3446 -.594 12.40940 .048071 .250792 .088164 Correlation Surface at 646 3446 .000 .026 .037 .053 .499 .292 .059 .015 .004 .070 .129 .053 .127 .789 .340 .050 .071 .024 .278 .303 .036 .324 .982 .221 .072 .090 .021 .403 .311 .001 .459 .874 .301 .110 .054 .001 .437 .175 .002 .283 1.000 .527 .065 .017 .009 .240 .092 .001 .199 .939 .262 .001 .001 .017 .092 .058 .008 .144 .423 .036 .001 .003 .001 .163 .054 .002 .059 .232 .086 .018 .008 .018 .327 .048 .002 .045 .269 .148 .015 .017 .054 r_peak,r_snr = .1331338 12.26674 Correlation Surface of oversamples image at 646 3446 .111 .004 .256 .680 .846 .629 .303 .130 .071 .082 .011 .256 .636 .823 .650 .336 .146 .067 .051 .014 .227 .602 .867 .734 .391 .158 .060 .026 .016 .210 .623 .962 .822 .416 .142 .045 .009 .022 .224 .676 1.000 .787 .344 .089 .024 .001 .033 .251 .667 .858 .575 .194 .031 .007 .000 .045 .242 .528 .566 .304 .067 .004 .000 .002 .044 .178 .323 .295 .127 .017 .000 .000 .003 .031 .099 .168 .157 .072 .013 .002 .001 646 .063 3446 -.625 12.26675 .017063 .638590 -.046761 Correlation Surface at 746 3446 .036 .002 .032 .048 .393 .330 .156 .023 .003 .055 .012 .048 .044 .342 .244 .077 .000 .005 .032 .006 .029 .031 .361 .321 .064 .008 .001 .029 .002 .001 .101 .712 .414 .050 .048 .001 .067 .020 .095 .338 1.000 .207 .010 .001 .039 .144 .187 .172 .341 .594 .084 .014 .030 .113 .159 .267 .089 .105 .277 .159 .094 .001 .009 .125 .182 .012 .044 .271 .313 .155 .081 .042 .092 .062 .007 .103 .349 .271 .091 .139 .009 r_peak,r_snr = .1138415 11.59145 Correlation Surface of oversamples image at 746 3446 .187 .043 .010 .142 .381 .571 .497 .287 .146 .096 .008 .023 .177 .500 .698 .509 .257 .148 .010 .007 .070 .294 .710 .813 .470 .204 .138 .027 .079 .176 .493 .928 .821 .361 .133 .117 .168 .197 .303 .677 1.000 .685 .228 .075 .094 .313 .263 .371 .718 .868 .482 .132 .050 .084 .324 .224 .324 .592 .631 .316 .093 .060 .095 .210 .118 .202 .413 .444 .237 .108 .108 .123 .082 .032 .106 .301 .361 .243 .180 .200 .162 746 .063 3446 -.156 11.59145 .014795 .068861 .014512 Correlation Surface at 846 3446 .049 .198 .061 .019 .138 .200 .164 .193 .109 .073 .264 .010 .043 .083 .086 .148 .164 .075 .113 .022 .020 .023 .091 .255 .195 .049 .103 .001 .123 .069 .061 .507 .494 .012 .009 .165 .014 .092 .024 .550 1.000 .204 .124 .069 .123 .019 .012 .428 .891 .448 .001 .150 .004 .025 .049 .069 .323 .241 .000 .025 .001 .031 .002 .001 .039 .070 .003 .076 .022 .147 .146 .003 .003 .054 .000 .117 .001 .239 .380 .260 .000 r_peak,r_snr = .1065648 11.98193 Correlation Surface of oversamples image at 846 3446 .092 .113 .040 .000 .016 .056 .131 .179 .130 .101 .068 .003 .029 .124 .249 .367 .335 .164 .040 .005 .036 .209 .426 .589 .590 .384 .126 .000 .039 .236 .567 .825 .844 .600 .272 .047 .065 .203 .514 .869 1.000 .767 .363 .088 .001 .173 .333 .601 .826 .759 .391 .080 .000 .020 .207 .314 .460 .524 .339 .067 .004 .046 .043 .168 .218 .266 .226 .060 .007 .083 .073 .016 .111 .126 .119 .048 .005 .113 .140 .038 .001 846 -11.031 3446 -5.031 11.98194 .036279 .054158 .032675 Correlation Surface at 946 3446 .112 .000 .371 .108 .088 .287 .159 .013 .018 .592 .007 .300 .005 .115 .110 .020 .007 .205 .400 .067 .040 .109 .113 .073 .016 .119 .207 .071 .026 .038 .363 .350 .370 .021 .330 .122 .003 .004 .013 .338 1.000 .543 .012 .277 .006 .000 .087 .010 .495 .830 .075 .069 .001 .112 .000 .153 .017 .459 .150 .005 .073 .286 .256 .000 .108 .059 .191 .089 .237 .499 .403 .297 .006 .069 .000 .072 .262 .343 .300 .193 .244 r_peak,r_snr = 8.63285E-02 9.11516 Correlation Surface of oversamples image at 946 3446 .006 .093 .145 .136 .127 .100 .053 .015 .004 .099 .239 .243 .212 .213 .187 .104 .013 .034 .214 .336 .340 .378 .448 .386 .167 .002 .106 .203 .314 .420 .628 .792 .587 .159 .007 .189 .106 .246 .488 .859 1.000 .568 .066 .057 .230 .048 .221 .540 .892 .834 .324 .004 .107 .179 .049 .252 .524 .661 .457 .112 .001 .065 .056 .105 .298 .407 .353 .183 .043 .002 .000 .003 .210 .314 .268 .167 .096 .072 .077 .101 .139 946 5.344 3446 -4.875 9.11516 .040931 .071662 .018085 Correlation Surface at 1046 3446 .042 .011 .010 .007 .325 .547 .465 .132 .045 .026 .023 .009 .126 .105 .236 .591 .242 .189 .137 .006 .107 .122 .015 .187 .401 .233 .471 .116 .000 .115 .131 .291 .546 .322 .429 .313 .052 .039 .065 .355 1.000 .735 .355 .334 .063 .000 .062 .180 .610 .706 .419 .330 .224 .177 r_peak,r_snr = 8.38497E-02 10.61151 Correlation Surface of oversamples image at 1046 3446 .045 .125 .136 .108 .083 .067 .075 .106 .122 .061 .151 .205 .245 .264 .244 .198 .142 .113 .076 .212 .357 .515 .614 .549 .333 .155 .117 .108 .314 .556 .819 .951 .744 .343 .130 .119 .170 .429 .701 .960 1.000 .647 .241 .095 .112 .260 .522 .731 .859 .748 .403 .139 .075 .116 .353 .573 .654 .614 .434 .198 .076 .076 .149 .422 .582 .533 .388 .215 .079 .044 .098 .202 .432 .536 .401 .221 .079 .015 .023 .109 .217 1046 -.125 3446 13.375 10.61151 .066251 .053057 .022905 Correlation Surface at 1146 3446 .143 .088 .023 .049 .091 .001 .007 .093 .529 .046 .047 .023 .025 .022 .000 .012 .186 .344 .204 .213 .030 .014 .198 .060 .000 .036 .085 .461 .092 .001 .067 .764 .190 .005 .027 .048 .174 .012 .002 .265 1.000 .153 .005 .000 .106 .160 .107 .083 .702 .788 .092 .034 .131 .173 .362 .134 .194 .743 .372 .094 .096 .127 .062 .081 .028 .231 .161 .048 .084 .072 .057 .059 r_peak,r_snr = 8.83506E-02 6.34751 Correlation Surface of oversamples image at 1146 3446 .000 .005 .005 .003 .051 .068 .011 .002 .001 .004 .012 .000 .049 .210 .248 .095 .014 .007 .016 .009 .012 .200 .535 .526 .221 .059 .026 .024 .002 .062 .446 .878 .708 .279 .085 .027 .021 .000 .138 .655 1.000 .656 .220 .058 .007 .009 .008 .222 .726 .855 .430 .102 .014 .001 .000 .040 .302 .672 .589 .208 .023 .000 .010 .014 .098 .355 .543 .352 .083 .001 .005 .007 .038 .149 .346 .387 .197 .037 .000 .001 .000 1146 8.000 3446 10.469 6.34751 .027123 .328993 .062611 Correlation Surface at 1246 3446 .031 .227 .130 .022 .282 .115 .002 .012 .166 .100 .135 .085 .021 .274 .103 .000 .016 .136 .043 .105 .183 .000 .491 .319 .001 .002 .025 .010 .073 .263 .002 .962 .452 .003 .005 .010 .002 .042 .227 .054 1.000 .364 .004 .012 .018 .002 .107 .167 .043 .682 .316 .016 .003 .001 .009 .216 .079 .021 .430 .280 .067 .069 .017 .051 .181 .026 .013 .203 .220 .121 .052 .006 .092 .052 .010 .006 .137 .196 .135 .018 .003 r_peak,r_snr = .1202821 14.7506 Correlation Surface of oversamples image at 1246 3446 .004 .014 .128 .351 .435 .315 .130 .029 .008 .032 .000 .126 .481 .650 .461 .171 .027 .002 .085 .002 .183 .690 .872 .564 .187 .025 .000 .122 .000 .295 .885 .999 .588 .185 .029 .000 .108 .009 .409 .964 1.000 .570 .200 .049 .003 .064 .039 .451 .916 .944 .578 .245 .078 .007 .034 .054 .390 .789 .886 .608 .290 .094 .009 .022 .044 .303 .676 .830 .617 .305 .100 .020 .014 .038 .260 .597 .736 .559 .288 .118 .056 1246 .281 3446 -.656 14.75060 .008757 .201366 .013409 Correlation Surface at 1346 3446 .004 .054 .000 .031 .264 .127 .011 .000 .010 .032 .043 .000 .007 .321 .172 .002 .055 .071 .008 .001 .028 .018 .516 .225 .006 .075 .073 .001 .027 .060 .042 .733 .247 .000 .026 .063 .012 .028 .037 .082 1.000 .218 .000 .073 .091 .008 .001 .012 .176 .737 .091 .019 .080 .027 .017 .013 .003 .083 .167 .024 .002 .005 .026 .079 .077 .013 .002 .039 .088 .054 .064 .046 .105 .077 .048 .008 .104 .199 .063 .025 .003 r_peak,r_snr = .1453304 23.82412 Correlation Surface of oversamples image at 1346 3446 .033 .008 .063 .435 .765 .625 .279 .063 .000 .064 .008 .089 .521 .869 .714 .307 .044 .007 .082 .005 .104 .546 .923 .751 .276 .017 .022 .067 .003 .100 .550 .963 .731 .205 .003 .023 .041 .002 .095 .586 1.000 .659 .136 .000 .012 .026 .002 .113 .662 .999 .550 .092 .000 .005 .020 .000 .164 .727 .908 .430 .069 .002 .005 .019 .002 .210 .662 .691 .299 .054 .002 .009 .025 .005 .174 .432 .403 .176 .043 .003 .008 1346 -.031 3446 -.156 23.82412 .005633 .065737 .006405 Correlation Surface at 1446 3446 .011 .049 .001 .015 .000 .013 .249 .007 .025 .000 .004 .008 .000 .186 .001 .022 .001 .018 .262 .000 .252 .004 .004 .005 .268 .809 .003 .279 .090 .078 .007 .633 1.000 .027 .111 .103 .013 .001 .663 .756 .125 .002 .000 .018 .000 .300 .538 .102 .001 .004 .013 .004 .182 .276 .078 .075 .057 .005 .001 .240 .030 .531 .023 r_peak,r_snr = 6.62347E-02 9.04031 Correlation Surface of oversamples image at 1446 3446 .004 .044 .054 .001 .054 .102 .029 .005 .094 .001 .021 .009 .040 .236 .288 .103 .000 .071 .004 .013 .002 .189 .538 .546 .203 .007 .041 .001 .009 .033 .398 .841 .761 .288 .026 .007 .002 .004 .089 .563 1.000 .844 .355 .082 .009 .012 .000 .140 .611 .960 .804 .423 .187 .062 .014 .003 .155 .542 .809 .727 .486 .264 .076 .012 .003 .115 .400 .625 .619 .440 .174 .014 .016 .000 .046 .241 .432 .448 .231 .013 .034 1446 11.625 3446 -8.438 9.04031 .028988 .483967 -.000814 Correlation Surface at 1546 3446 .010 .014 .009 .111 .236 .150 .082 .033 .013 .000 .025 .002 .131 .221 .189 .079 .017 .007 .006 .028 .011 .280 .403 .193 .025 .004 .020 .037 .032 .073 .577 .693 .249 .071 .033 .019 .036 .037 .096 .804 1.000 .499 .238 .060 .053 .035 .065 .055 .752 .963 .607 .277 .025 .124 .049 .030 .062 .376 .655 .454 .184 .000 .180 .015 .002 .040 .225 .547 .192 .031 .010 .133 .001 .007 .029 .320 .340 .024 .001 .004 .057 r_peak,r_snr = .1303547 11.62748 Correlation Surface of oversamples image at 1546 3446 .000 .084 .250 .319 .325 .342 .318 .218 .113 .006 .154 .376 .472 .510 .523 .434 .267 .148 .015 .203 .464 .624 .727 .733 .572 .349 .220 .018 .215 .511 .760 .919 .897 .680 .438 .298 .018 .211 .537 .847 1.000 .937 .730 .506 .351 .018 .196 .517 .800 .892 .838 .712 .527 .366 .017 .166 .425 .613 .669 .691 .658 .502 .338 .017 .123 .294 .407 .494 .600 .606 .438 .264 .014 .079 .180 .280 .426 .569 .541 .328 .166 1546 .594 3446 -3.531 11.62749 .046687 .184890 -.028381 Correlation Surface at 1646 3446 .299 .186 .213 .218 .001 .122 .095 .215 .555 .135 .018 .027 .058 .268 .268 .026 .006 .044 .177 .213 .074 .195 .350 .163 .114 .083 .054 .681 1.000 .296 .034 .056 .060 .993 .877 .079 r_peak,r_snr = 7.19264E-02 8.65525 Correlation Surface of oversamples image at 1646 3446 .139 .093 .075 .087 .116 .126 .119 .105 .117 .050 .047 .105 .241 .361 .352 .289 .241 .258 .012 .034 .167 .459 .671 .620 .478 .372 .371 .002 .030 .223 .640 .920 .812 .571 .385 .343 .000 .027 .251 .740 1.000 .794 .465 .255 .206 .000 .022 .256 .718 .837 .545 .242 .104 .087 .001 .013 .209 .512 .485 .236 .073 .027 .031 .006 .002 .100 .220 .162 .053 .012 .008 .011 .024 .005 .010 .033 .018 .003 .002 .005 .001 1646 12.500 3446 13.438 8.65525 .081756 .134532 .056454 Correlation Surface at 1746 3446 .012 .237 .207 .005 .014 .027 .041 .062 .052 .002 .003 .030 .043 .212 .139 .112 .000 .040 .068 .000 .340 .213 .039 .005 .002 .014 .001 .178 .639 .240 .065 .018 .053 .184 .079 .396 1.000 .536 .349 .160 .034 .120 .027 .314 .676 .544 .552 .216 .028 .006 .008 .078 .062 .222 .197 .049 .021 .000 .008 .001 .004 .028 .013 .057 .021 .252 .234 .029 .008 .002 .112 .102 r_peak,r_snr = 7.72787E-02 9.23806 Correlation Surface of oversamples image at 1746 3446 .004 .005 .001 .088 .218 .175 .074 .019 .003 .003 .008 .074 .264 .356 .269 .122 .023 .001 .032 .069 .223 .453 .553 .467 .233 .053 .011 .063 .131 .327 .601 .799 .726 .378 .128 .074 .066 .136 .340 .697 1.000 .878 .475 .259 .239 .043 .097 .312 .738 .979 .753 .474 .425 .470 .013 .056 .290 .639 .638 .434 .397 .518 .564 .000 .038 .242 .363 .228 .166 .280 .420 .392 .002 .037 .144 .097 .023 .039 .139 .192 .121 1746 11.094 3446 -2.813 9.23806 .052362 .138280 -.009075 Correlation Surface at 1846 3446 .000 .014 .026 .027 .023 .210 .009 .009 .043 .044 .028 .085 .031 .220 .344 .025 .122 .039 .104 .068 .165 .006 .621 .396 .173 .290 .041 .072 .129 .222 .031 .980 .518 .293 .321 .050 .006 .121 .124 .227 1.000 .432 .130 .238 .078 .003 .142 .077 .220 .622 .158 .048 .167 .049 .000 .236 .188 .019 .232 .034 .085 .062 .000 .003 .199 .283 .001 .184 .038 .125 .005 .021 .002 .044 .158 .022 .150 .070 .057 .001 .019 r_peak,r_snr = .1128542 14.98827 Correlation Surface of oversamples image at 1846 3446 .032 .089 .034 .049 .400 .439 .166 .069 .135 .058 .089 .006 .151 .557 .502 .234 .177 .281 .073 .053 .010 .350 .761 .624 .360 .302 .356 .057 .006 .110 .620 .942 .712 .419 .301 .288 .017 .018 .314 .859 1.000 .674 .343 .191 .169 .000 .112 .491 .887 .841 .488 .189 .079 .080 .012 .163 .439 .625 .514 .246 .059 .015 .029 .005 .073 .186 .271 .223 .081 .004 .000 .007 .011 .000 .015 .071 .083 .019 .002 .004 .003 1846 -.156 3446 1.031 14.98827 .024446 .226004 .048151 Correlation Surface at 1946 3446 .051 .000 .058 .558 .357 .240 .115 .002 .002 .050 .017 .075 .501 .249 .320 .089 .000 .007 .001 .038 .097 .424 .321 .382 .049 .041 .017 .001 .001 .157 .338 .680 .327 .107 .204 .004 .007 .017 .107 .570 1.000 .410 .367 .180 .020 .001 .009 .149 .863 .640 .371 .247 .137 .097 .001 .010 .354 .431 .261 .229 .112 .164 .147 .002 .057 .408 .383 .353 .322 .098 .095 .122 .015 .023 .291 .382 .397 .303 .043 .075 .028 r_peak,r_snr = 9.05700E-02 8.45241 Correlation Surface of oversamples image at 1946 3446 .016 .362 .671 .614 .491 .524 .585 .370 .089 .058 .373 .539 .500 .501 .572 .484 .206 .040 .066 .249 .366 .467 .617 .661 .426 .156 .054 .023 .106 .278 .571 .822 .758 .419 .174 .106 .000 .044 .321 .788 1.000 .778 .397 .188 .134 .015 .045 .465 .953 .983 .651 .305 .136 .084 .020 .096 .616 .927 .775 .443 .173 .055 .020 .001 .211 .706 .810 .582 .293 .094 .018 .003 .022 .355 .738 .733 .502 .241 .084 .022 .006 1946 .344 3446 -1.156 8.45241 .045408 .107155 .020905 Correlation Surface at 2046 3446 .028 .033 .078 .065 .291 .254 .059 .066 .289 .020 .013 .020 .002 .126 .238 .020 .141 .106 .026 .067 .029 .003 .247 .461 .000 .054 .007 .003 .160 .051 .016 .731 .479 .001 .011 .168 .000 .153 .066 .216 1.000 .311 .015 .225 .360 .021 .159 .120 .311 .631 .178 .134 .543 .702 .111 .285 .146 .093 .145 .070 .282 .668 .805 .259 .332 .075 .011 .019 .138 .274 .449 .451 .219 .081 .034 .037 .217 .448 .094 .214 .231 r_peak,r_snr = 9.04098E-02 9.52126 Correlation Surface of oversamples image at 2046 3446 .046 .014 .026 .098 .216 .250 .118 .002 .078 .029 .003 .020 .156 .406 .455 .200 .009 .046 .022 .005 .063 .354 .724 .640 .226 .009 .024 .027 .028 .198 .666 .983 .650 .166 .004 .005 .047 .093 .390 .906 1.000 .497 .093 .005 .004 .070 .162 .504 .909 .795 .313 .057 .019 .057 .076 .182 .467 .705 .512 .177 .050 .063 .169 .065 .154 .339 .437 .266 .090 .060 .142 .301 .052 .112 .205 .213 .100 .042 .088 .245 .387 2046 .344 3446 .438 9.52126 .024966 .140505 .032182 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .006 .003 .054 .237 .159 .006 .003 .002 .087 .007 .022 .141 .516 .253 .022 .002 .000 .136 .004 .002 .163 .463 .384 .029 .011 .033 .120 .000 .002 .031 .408 .695 .103 .047 .099 .093 .002 .073 .001 .465 1.000 .311 .000 .029 .066 .010 .110 .035 .235 .940 .457 .114 .002 .018 .010 .065 .040 .128 .676 .334 .149 .010 .003 .002 .014 .012 .166 .379 .264 .145 .033 .007 .028 .070 .027 .104 .174 .409 .357 .163 .004 r_peak,r_snr = 9.15991E-02 8.41557 Correlation Surface of oversamples image at 146 3846 .288 .407 .297 .171 .159 .190 .151 .083 .041 .279 .327 .263 .257 .340 .340 .170 .038 .000 .134 .195 .276 .460 .640 .494 .155 .004 .034 .031 .128 .366 .746 .930 .589 .135 .001 .083 .002 .097 .421 .884 1.000 .574 .111 .003 .053 .001 .047 .317 .735 .843 .496 .115 .002 .002 .025 .001 .132 .464 .648 .480 .199 .066 .036 .110 .037 .015 .242 .528 .551 .372 .222 .116 .230 .145 .004 .137 .482 .631 .512 .324 .135 146 .875 3846 -11.594 8.41557 .044080 .428476 -.086610 Correlation Surface at 246 3846 .006 .000 .066 .237 .280 .125 .001 .001 .011 .001 .000 .040 .303 .564 .282 .022 .006 .010 .001 .000 .038 .429 .879 .464 .042 .004 .003 .016 .001 .062 .488 .964 .434 .023 .000 .003 .062 .009 .062 .490 1.000 .302 .015 .003 .003 .084 .024 .028 .428 .862 .235 .019 .003 .006 .033 .020 .012 .357 .681 .231 .010 .000 .006 .004 .003 .025 .309 .587 .231 .005 .004 .000 .001 .001 .043 .274 .444 .156 .000 .013 .001 r_peak,r_snr = .2027092 17.44216 Correlation Surface of oversamples image at 246 3846 .037 .138 .345 .592 .730 .652 .382 .123 .015 .036 .148 .373 .646 .801 .693 .371 .101 .008 .028 .146 .402 .731 .905 .738 .354 .083 .006 .017 .131 .422 .815 .991 .751 .329 .073 .008 .007 .108 .426 .855 1.000 .708 .289 .064 .009 .001 .091 .419 .835 .930 .628 .247 .054 .008 .000 .087 .406 .773 .834 .557 .222 .047 .005 .001 .090 .379 .685 .737 .509 .212 .040 .001 .002 .089 .330 .580 .636 .458 .188 .027 .000 246 -.063 3846 1.813 17.44217 .006497 .262970 .012534 Correlation Surface at 346 3846 .014 .012 .064 .350 .798 .464 .014 .059 .054 .070 .008 .080 .306 .798 .374 .000 .074 .048 .078 .000 .028 .243 .797 .258 .009 .052 .026 .031 .001 .001 .302 .874 .201 .011 .040 .005 .012 .009 .003 .419 1.000 .227 .011 .054 .003 .024 .018 .005 .413 .874 .184 .025 .059 .006 .047 .041 .002 .249 .528 .111 .010 .026 .001 .041 .035 .008 .132 .251 .092 .006 .003 .000 .041 .019 .018 .081 .150 .171 .050 .000 .003 r_peak,r_snr = .175762 12.98703 Correlation Surface of oversamples image at 346 3846 .045 .098 .264 .558 .735 .536 .178 .010 .010 .016 .063 .249 .576 .755 .523 .153 .005 .012 .006 .056 .271 .638 .826 .560 .159 .005 .012 .004 .069 .327 .740 .929 .614 .176 .007 .015 .006 .091 .397 .847 1.000 .628 .176 .006 .026 .008 .110 .449 .890 .971 .569 .147 .001 .041 .009 .119 .446 .814 .826 .455 .104 .000 .045 .011 .115 .376 .627 .614 .333 .073 .000 .028 .015 .104 .272 .418 .416 .237 .058 .001 .006 346 -.125 3846 1.188 12.98704 .006343 .178671 .006490 Correlation Surface at 546 3846 .052 .037 .004 .091 .266 .026 .032 .059 .039 .080 .019 .003 .014 .083 .046 .001 .006 .162 .017 .014 .017 .001 .071 .193 .009 .004 .073 .000 .071 .085 .019 .385 .379 .001 .015 .032 .000 .109 .119 .210 1.000 .359 .007 .125 .118 .042 .108 .038 .396 .733 .110 .026 .107 .051 .121 .032 .012 .187 .135 .003 .028 .085 .000 .110 .001 .000 .031 .029 .009 .002 .024 .051 .119 .001 .030 .004 .031 .067 .005 .020 .039 r_peak,r_snr = .1007754 14.95066 Correlation Surface of oversamples image at 546 3846 .003 .008 .009 .005 .086 .191 .199 .096 .011 .016 .000 .001 .028 .182 .337 .289 .106 .007 .051 .010 .017 .131 .412 .563 .364 .092 .001 .105 .060 .111 .373 .756 .768 .379 .069 .001 .130 .127 .273 .666 1.000 .791 .315 .047 .004 .103 .168 .411 .812 .952 .611 .211 .030 .004 .060 .171 .433 .696 .654 .353 .117 .023 .001 .031 .137 .313 .408 .316 .153 .063 .025 .001 .015 .081 .151 .163 .110 .065 .054 .040 .008 546 .000 3846 .156 14.95067 .019574 .052415 .015150 Correlation Surface at 646 3846 .016 .028 .002 .185 .708 .086 .008 .007 .037 .015 .035 .004 .418 .745 .050 .007 .001 .001 .015 .004 .025 .355 .647 .125 .000 .000 .014 .025 .002 .011 .179 .694 .304 .052 .051 .049 .043 .001 .002 .134 1.000 .626 .358 .110 .029 .075 .000 .031 .146 .996 .776 .452 .066 .026 .122 .000 .028 .080 .631 .538 .232 .087 .072 .107 .004 .008 .082 .541 .324 .158 .143 .106 .044 .028 .005 .185 .508 .228 .118 .085 .037 r_peak,r_snr = .1602697 13.41691 Correlation Surface of oversamples image at 646 3846 .061 .238 .425 .475 .324 .133 .033 .005 .000 .043 .192 .436 .617 .532 .300 .129 .054 .022 .020 .151 .476 .801 .778 .517 .292 .163 .076 .005 .128 .525 .941 .963 .715 .477 .290 .122 .001 .120 .534 .947 1.000 .818 .597 .349 .128 .000 .114 .472 .809 .895 .801 .596 .317 .108 .000 .098 .362 .614 .728 .690 .495 .248 .095 .001 .075 .261 .463 .578 .542 .363 .186 .096 .002 .062 .217 .398 .477 .403 .250 .143 .102 646 .281 3846 .281 13.41691 .010155 .150163 -.019234 Correlation Surface at 746 3846 .045 .009 .029 .024 .270 .195 .022 .132 .036 .009 .008 .037 .015 .241 .101 .010 .032 .055 .005 .021 .029 .043 .421 .218 .014 .013 .060 .015 .015 .003 .217 .883 .339 .011 .011 .064 .035 .000 .017 .370 1.000 .216 .000 .009 .081 .122 .037 .028 .202 .606 .112 .008 .036 .044 .290 .048 .004 .015 .317 .028 .042 .036 .014 .271 .003 .071 .001 .193 .002 .050 .008 .027 .094 .007 .034 .015 .204 .006 .020 .011 .058 r_peak,r_snr = .1316527 13.51446 Correlation Surface of oversamples image at 746 3846 .030 .001 .041 .227 .403 .298 .068 .002 .051 .017 .000 .064 .273 .446 .341 .105 .001 .021 .010 .004 .103 .369 .584 .467 .165 .007 .019 .005 .016 .178 .546 .809 .615 .198 .004 .033 .001 .038 .282 .752 1.000 .671 .173 .000 .050 .000 .059 .349 .817 .976 .574 .114 .002 .055 .000 .056 .297 .646 .731 .400 .063 .007 .053 .002 .020 .143 .354 .437 .239 .025 .017 .064 .026 .002 .019 .130 .224 .117 .002 .042 .092 746 -.063 3846 -.250 13.51447 .010133 .080669 .006301 Correlation Surface at 846 3846 .177 .234 .179 .049 .018 .014 .139 .277 .334 .266 .468 .280 .041 .014 .027 .226 .427 .312 .415 .538 .151 .005 .005 .212 .318 .317 .099 .361 .245 .020 .026 .397 .784 .297 .063 .032 .094 .035 .005 .290 1.000 .917 .109 .000 .000 .082 .011 .001 .170 .379 .214 .003 .013 .009 r_peak,r_snr = 7.33044E-02 7.52047 Correlation Surface of oversamples image at 846 3846 .003 .012 .014 .000 .074 .282 .453 .512 .511 .000 .000 .003 .062 .248 .463 .544 .505 .422 .013 .029 .095 .282 .538 .651 .557 .392 .265 .067 .141 .313 .625 .849 .747 .457 .236 .133 .150 .305 .578 .932 1.000 .667 .299 .119 .062 .217 .430 .712 .951 .822 .435 .158 .059 .031 .217 .406 .579 .640 .449 .196 .068 .032 .017 .130 .241 .310 .280 .148 .048 .016 .011 .006 .038 .095 .119 .075 .017 .000 .001 .000 .000 846 6.781 3846 12.625 7.52047 .107498 .053344 .036406 Correlation Surface at 946 3846 .001 .000 .010 .054 .053 .014 .030 .079 .025 .003 .003 .053 .153 .133 .060 .108 .123 .066 .012 .003 .054 .075 .158 .202 .199 .109 .049 .002 .020 .001 .013 .517 .460 .137 .057 .002 .028 .000 .057 .061 1.000 .367 .027 .021 .001 .006 .021 .031 .146 .712 .177 .000 .000 .002 .006 .019 .000 .094 .306 .089 .006 .006 .010 .037 .006 .000 .011 .129 .078 .004 .001 .000 .031 .005 .010 .000 .162 .180 .076 .042 .056 r_peak,r_snr = .1617295 22.03456 Correlation Surface of oversamples image at 946 3846 .130 .140 .180 .241 .288 .286 .245 .234 .249 .074 .061 .109 .244 .427 .489 .386 .278 .221 .017 .012 .076 .325 .679 .741 .473 .236 .139 .000 .000 .088 .482 .940 .866 .418 .134 .058 .016 .000 .137 .620 1.000 .750 .266 .050 .018 .020 .005 .192 .611 .804 .497 .131 .013 .007 .005 .026 .201 .457 .507 .270 .057 .004 .005 .003 .052 .157 .269 .268 .139 .034 .006 .006 .024 .059 .091 .127 .132 .089 .042 .019 .013 946 .125 3846 -.219 22.03456 .005207 .024660 .003602 Correlation Surface at 1046 3846 .054 .007 .094 .009 .064 .001 .186 .120 .000 .119 .098 .000 .173 .115 .000 .109 .028 .019 .117 .009 .049 .158 .194 .060 .005 .038 .135 .022 .005 .004 .123 .743 .111 .020 .229 .369 .204 .000 .009 .460 1.000 .001 .010 .367 .638 .051 .000 .141 .613 .214 .102 .073 .622 .835 .000 .010 .122 .101 .012 .015 .471 .635 .621 .000 .013 .003 .031 .031 .058 .309 .208 .330 .001 .004 .035 .115 .014 .016 .000 .030 .258 r_peak,r_snr = 7.43697E-02 7.8993 Correlation Surface of oversamples image at 1046 3846 .002 .042 .307 1.017 .040 .034 .470 1.482 .111 .048 .735 2.015 .087 .168 1.203 2.656 .000 .588 1.941 3.345 .240 1.440 2.793 3.751 1.046 2.420 3.303 3.561 1.790 2.768 3.009 2.781 1.433 1.921 1.850 1.626 1046 3.813 3846 1.219 7.89930 .020903 .061538 .017939 Correlation Surface at 1246 3846 .005 .001 .017 .286 .736 .621 .370 .148 .004 .007 .001 .071 .370 .943 .708 .311 .119 .009 .008 .003 .097 .444 1.000 .654 .276 .103 .006 .001 .001 .065 .427 .868 .603 .293 .076 .002 .004 .008 .021 .299 .769 .637 .354 .079 .001 .000 .005 .000 .181 .628 .675 .501 .075 .000 .003 .011 .008 .093 .384 .588 .362 .043 .000 r_peak,r_snr = .1390555 10.06137 Correlation Surface of oversamples image at 1246 3846 .701 .661 .298 .038 .000 .014 .323 .317 .086 .003 .085 .174 .052 .078 .002 .104 .382 .543 .002 .005 .026 .331 .816 .900 .011 .001 .051 .474 1.000 .879 .011 .054 .011 .354 .760 .566 .232 .288 .016 .134 .372 .267 .670 .621 .121 .011 .097 .093 .950 .778 .224 .012 .003 .021 1246 2.219 3846 -15.125 10.06137 .024744 .545865 .033429 Correlation Surface at 1346 3846 .331 .185 .041 .285 .394 .301 .238 .072 .070 .222 .137 .152 .255 .287 .331 .137 .015 .027 .042 .083 .116 .145 .430 .292 .039 .004 .025 .011 .040 .040 .277 .798 .246 .029 .018 .024 .006 .011 .029 .540 1.000 .182 .054 .016 .001 .000 .010 .044 .541 .797 .179 .079 .013 .000 .000 .021 .037 .316 .561 .246 .150 .072 .002 .002 .032 .024 .150 .443 .274 .204 .091 .001 .004 .039 .007 .109 .409 .277 .111 .040 .000 r_peak,r_snr = .1567859 15.85678 Correlation Surface of oversamples image at 1346 3846 .065 .091 .111 .188 .372 .535 .461 .249 .100 .045 .052 .085 .232 .536 .715 .515 .209 .053 .025 .028 .085 .330 .748 .883 .533 .159 .027 .014 .021 .113 .458 .930 .957 .469 .101 .016 .010 .024 .152 .555 1.000 .885 .347 .058 .015 .008 .029 .175 .568 .927 .716 .238 .042 .025 .007 .032 .168 .506 .770 .556 .190 .051 .044 .008 .032 .150 .421 .623 .467 .199 .081 .071 .010 .040 .140 .351 .527 .449 .246 .122 .101 1346 -.281 3846 -1.219 15.85679 .009131 .095041 .009739 Correlation Surface at 1446 3846 .035 .000 .216 .532 .246 .103 .372 .412 .069 .016 .005 .340 .499 .108 .250 .475 .235 .009 .037 .015 .369 .391 .283 .463 .355 .190 .004 .063 .005 .081 .478 .764 .425 .402 .200 .007 .062 .045 .001 .662 1.000 .487 .349 .113 .001 .050 .142 .007 .645 .625 .311 .160 .101 .001 .088 .087 .085 .412 .193 .162 .241 .116 .025 .066 .001 .215 .212 .140 .385 .391 .019 .146 .001 .065 .202 .215 .351 .669 .308 .002 .096 r_peak,r_snr = .1134473 6.01718 Correlation Surface of oversamples image at 1446 3846 .033 .551 2.009 3.753 4.000 2.541 1.150 .633 .630 .058 .732 2.336 3.785 3.464 1.850 .733 .516 .763 .054 .795 2.341 3.389 2.832 1.483 .754 .857 1.369 .041 .716 1.944 2.688 2.351 1.523 1.218 1.640 2.134 .021 .461 1.236 1.885 2.078 1.916 2.053 2.543 2.540 1446 -.219 3846 1.188 6.01718 .040943 .080723 .013375 Correlation Surface at 1546 3846 .002 .014 .113 .192 .332 .265 .010 .160 .000 .050 .011 .018 .316 1.000 .426 .011 .086 .054 .022 .053 .011 .216 .905 .155 .047 .019 .254 .017 .028 .111 .003 .135 .004 .071 .007 .320 .057 .005 .156 .070 .037 .042 .012 .003 .336 .026 .106 .097 .191 .045 .017 .044 .045 .168 r_peak,r_snr = 8.83531E-02 12.08595 Correlation Surface of oversamples image at 1546 3846 .175 .113 .058 .040 .074 .188 .230 .083 .000 .165 .150 .135 .170 .315 .497 .401 .116 .000 .131 .174 .235 .384 .666 .807 .497 .122 .001 .074 .167 .311 .582 .951 .959 .481 .097 .000 .025 .124 .312 .651 1.000 .857 .351 .049 .004 .001 .057 .225 .543 .779 .551 .172 .008 .027 .008 .008 .104 .317 .408 .220 .040 .004 .073 .034 .004 .018 .098 .099 .029 .000 .033 .120 .057 .036 .004 .001 .000 .005 .020 .056 .127 1546 7.188 3846 -13.750 12.08595 .027787 .069469 .004930 Correlation Surface at 1646 3846 .060 .093 .196 .168 .181 .059 .001 .163 .378 .011 .366 .509 .552 .613 .344 .003 .042 .163 .003 .427 .480 .724 .893 .213 .095 .016 .061 .004 .197 .328 .638 .979 .126 .033 .005 .354 .002 .067 .209 .837 1.000 .224 .090 .221 .548 .029 .044 .271 .867 .560 .171 .175 .109 .092 .061 .029 .184 .285 .234 .077 .058 .003 .026 .019 .010 .006 .156 .306 .129 .000 .093 .091 .001 .142 .000 .232 .472 .268 .030 .120 .054 r_peak,r_snr = 7.96912E-02 8.6024 Correlation Surface of oversamples image at 1646 3846 .333 .261 .297 .392 .509 .578 .395 .078 .021 .210 .199 .272 .429 .617 .655 .368 .041 .033 .136 .164 .294 .551 .785 .739 .360 .044 .003 .091 .155 .379 .740 .942 .765 .346 .078 .025 .060 .171 .513 .920 1.000 .707 .324 .132 .122 .042 .204 .620 .961 .909 .602 .298 .171 .189 .028 .209 .586 .806 .747 .522 .278 .160 .152 .009 .136 .394 .582 .634 .503 .264 .110 .066 .002 .034 .185 .402 .577 .505 .241 .065 .016 1646 2.281 3846 10.656 8.60240 .053110 .259626 .010778 Correlation Surface at 1746 3846 .053 .089 .106 .175 .147 .066 .036 .000 .370 .126 .050 .036 .172 .461 .144 .055 .000 .177 .000 .063 .011 .362 .960 .090 .041 .023 .003 .323 .219 .009 .663 .950 .099 .001 .124 .248 .185 .003 .131 .902 1.000 .397 .013 .274 .333 .019 .059 .285 .747 .953 .754 .004 .241 .102 .133 .037 .213 .288 .780 .623 .015 .179 .017 .093 .008 .042 .097 .702 .290 .057 .091 .000 .040 .001 .007 .063 .472 .086 .020 .006 .008 r_peak,r_snr = 8.33563E-02 8.86595 Correlation Surface of oversamples image at 1746 3846 .000 .001 .005 .057 .222 .391 .298 .050 .012 .029 .018 .000 .100 .408 .615 .361 .040 .016 .105 .037 .008 .236 .689 .801 .357 .029 .017 .124 .013 .060 .442 .923 .848 .316 .025 .012 .057 .003 .173 .618 1.000 .803 .300 .035 .003 .002 .059 .304 .719 .996 .789 .349 .074 .001 .024 .145 .406 .771 .981 .816 .451 .156 .020 .079 .207 .464 .767 .911 .830 .577 .269 .050 .104 .220 .438 .634 .753 .812 .689 .361 .062 1746 -.406 3846 -1.969 8.86595 12.095584 127.362961 -39.103844 Correlation Surface at 1846 3846 .207 .117 .035 .418 .023 .097 .006 .027 .163 .255 .194 .007 .202 .004 .000 .111 .001 .300 .270 .238 .000 .218 .037 .160 .037 .070 .109 .307 .241 .003 .102 .346 .402 .003 .000 .001 .451 .321 .006 .078 1.000 .326 .014 .029 .026 .527 .469 .132 .246 .745 .088 .005 .031 .010 .342 .446 .055 .245 .216 .070 .024 .085 .125 .076 .086 .014 .111 .191 .086 .095 .126 .136 .002 .007 .038 .074 .065 .001 .048 .012 .181 r_peak,r_snr = 8.42381E-02 8.89717 Correlation Surface of oversamples image at 1846 3846 .051 .136 .112 .085 .149 .253 .138 .000 .086 .036 .089 .083 .151 .383 .489 .161 .006 .117 .018 .039 .063 .265 .670 .655 .129 .018 .069 .000 .004 .062 .425 .904 .659 .080 .015 .020 .027 .001 .100 .613 1.000 .566 .063 .002 .001 .084 .000 .175 .701 .884 .459 .077 .002 .001 .081 .010 .244 .583 .650 .403 .118 .016 .009 .010 .077 .253 .381 .491 .445 .188 .042 .035 .038 .181 .197 .247 .464 .544 .251 .073 .105 1846 4.469 3846 4.500 8.89717 .016894 .061194 .009465 Correlation Surface at 1946 3846 .003 .064 .130 .029 .003 .087 .125 .062 .000 .014 .421 .164 .019 .039 .005 .104 .073 .068 .002 .350 .004 .053 .097 .037 .040 .004 .005 .000 .046 .106 .396 .497 .256 .003 .016 .007 .004 .038 .189 .737 1.000 .065 .053 .110 .000 .263 .241 .199 .602 .342 .022 .300 .130 .004 .940 .224 .165 .165 .029 .164 .363 .009 .038 .557 .026 .010 .000 .036 .194 .085 .008 .006 .006 .104 .090 .039 .014 .000 .046 .001 .086 r_peak,r_snr = 7.07048E-02 8.38863 Correlation Surface of oversamples image at 1946 3846 .631 .665 .821 1.270 1.984 .710 1.100 1.306 1.368 1.522 1.464 2.051 1.753 1.175 .925 2.913 2.864 1.621 .701 .504 4.000 2.609 .922 .308 .352 3.701 1.490 .291 .118 .273 2.202 .435 .018 .013 .079 .964 .051 .013 .013 .003 1946 -13.875 3846 6.094 8.38863 .036597 .054151 .012612 Correlation Surface at 2046 3846 .119 .222 .288 .239 .103 .209 .185 .116 .131 .013 .151 .292 .110 .077 .243 .179 .169 .282 .012 .230 .348 .191 .256 .384 .177 .259 .419 .043 .218 .277 .111 .640 .613 .105 .204 .136 .099 .226 .100 .104 1.000 .420 .000 .006 .002 .240 .243 .027 .188 .657 .175 .003 .002 .006 .295 .207 .033 .018 .247 .080 .015 .098 .083 .470 .443 .024 .006 .102 .004 .066 .491 .143 .698 .552 .002 .003 .003 .006 .086 .519 .110 r_peak,r_snr = 8.05149E-02 7.99517 Correlation Surface of oversamples image at 2046 3846 1.946 1.463 .838 .339 .142 .132 1.883 1.724 1.288 .662 .149 .011 1.882 2.239 1.873 .751 .025 .053 2.461 3.181 2.348 .578 .008 .142 2046 5.281 3846 -2.125 7.99517 .023161 .128441 .019148 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .005 .004 .028 .080 .150 .133 .141 .163 .054 .008 .059 .060 .020 .091 .145 .156 .165 .044 .001 .080 .024 .007 .194 .263 .163 .142 .080 .013 .039 .011 .072 .539 .415 .139 .174 .130 .032 .062 .032 .266 1.000 .599 .234 .251 .114 .048 .048 .015 .304 .900 .491 .189 .199 .100 .013 .005 .000 .123 .445 .200 .068 .142 .052 .004 .000 .011 .003 .203 .156 .079 .082 .005 .013 .016 .008 .000 .246 .327 .145 .049 .004 r_peak,r_snr = .1445796 13.00431 Correlation Surface of oversamples image at 146 4246 .002 .000 .004 .043 .140 .228 .250 .206 .140 .000 .000 .015 .131 .345 .476 .411 .248 .123 .001 .004 .066 .309 .643 .749 .546 .281 .121 .012 .029 .166 .532 .904 .905 .591 .284 .124 .025 .062 .265 .688 1.000 .885 .522 .231 .105 .021 .071 .299 .703 .919 .727 .370 .138 .062 .006 .049 .253 .600 .749 .533 .215 .055 .023 .000 .019 .169 .460 .588 .387 .120 .017 .007 .006 .003 .096 .338 .470 .305 .084 .010 .006 146 .125 4246 -.594 13.00431 .013128 .053111 .005787 Correlation Surface at 246 4246 .239 .274 .095 .000 .002 .017 .009 .085 .145 .142 .229 .006 .016 .000 .037 .087 .209 .137 .122 .145 .013 .021 .263 .369 .130 .226 .058 .162 .163 .165 .263 .779 .408 .106 .191 .018 .287 .322 .334 .487 1.000 .378 .140 .126 .002 .263 .420 .239 .443 .725 .258 .054 .018 .006 .212 .158 .035 .202 .319 .040 .003 .001 .001 .170 .002 .031 .136 .253 .022 .002 .065 .031 .024 .068 .024 .224 .318 .202 .202 .310 .028 r_peak,r_snr = .1021563 7.37018 Correlation Surface of oversamples image at 246 4246 .066 .044 .068 .202 .451 .601 .485 .300 .227 .134 .092 .120 .296 .561 .610 .390 .219 .192 .186 .127 .183 .428 .697 .632 .353 .206 .201 .207 .162 .290 .632 .874 .692 .374 .227 .208 .199 .208 .438 .848 1.000 .715 .374 .212 .156 .163 .239 .537 .907 .934 .610 .289 .130 .064 .098 .203 .472 .724 .683 .411 .158 .040 .007 .028 .107 .302 .474 .441 .246 .066 .005 .001 .001 .026 .164 .320 .319 .167 .036 .001 .000 246 3.844 4246 9.719 7.37018 .029010 .158811 .021835 Correlation Surface at 346 4246 .013 .069 .011 .447 .530 .183 .023 .049 .087 .000 .063 .030 .483 .414 .101 .008 .057 .126 .002 .001 .059 .335 .397 .188 .062 .067 .064 .047 .014 .067 .335 .624 .523 .140 .085 .075 .043 .011 .171 .618 1.000 .579 .118 .228 .167 .000 .002 .226 .566 .821 .342 .121 .208 .148 .047 .003 .099 .218 .433 .289 .055 .013 .074 .071 .001 .110 .225 .415 .323 .009 .008 .043 .008 .050 .379 .411 .354 .255 .003 .000 .031 r_peak,r_snr = .1074413 11.21616 Correlation Surface of oversamples image at 346 4246 .016 .050 .406 1.063 1.472 1.711 2.418 3.232 3.212 .019 .037 .335 .868 1.234 1.602 2.490 3.419 3.533 .000 .090 .469 1.063 1.499 1.928 2.726 3.354 3.323 .095 .440 1.193 2.104 2.601 2.821 3.002 2.952 2.672 346 -1.594 4246 -2.125 11.21617 .057373 .116697 .031169 Correlation Surface at 446 4246 .001 .009 .127 .327 .579 .477 .144 .027 .026 .001 .009 .113 .276 .535 .447 .129 .046 .045 .000 .000 .059 .283 .680 .493 .080 .029 .019 .000 .002 .031 .327 .976 .516 .061 .037 .017 .007 .000 .027 .410 1.000 .518 .143 .089 .050 .025 .009 .045 .403 .729 .607 .244 .106 .086 .034 .037 .092 .358 .618 .658 .251 .166 .141 .040 .055 .134 .364 .546 .464 .222 .226 .176 .090 .054 .132 .279 .384 .249 .161 .155 .158 r_peak,r_snr = .2108885 9.85306 Correlation Surface of oversamples image at 446 4246 .247 .329 .375 .436 .510 .533 .447 .272 .108 .183 .276 .366 .485 .607 .628 .482 .253 .079 .132 .250 .396 .584 .748 .739 .516 .245 .071 .110 .258 .467 .725 .908 .837 .551 .263 .091 .112 .283 .548 .851 1.000 .865 .570 .304 .141 .125 .305 .591 .875 .953 .802 .568 .359 .212 .142 .309 .564 .775 .798 .695 .562 .423 .287 .154 .293 .488 .618 .624 .593 .557 .475 .334 .158 .272 .415 .489 .496 .522 .550 .488 .334 446 -.031 4246 .625 9.85306 .007024 .079711 .000086 Correlation Surface at 546 4246 .035 .012 .036 .019 .233 .045 .000 .014 .002 .021 .001 .008 .036 .206 .066 .003 .000 .001 .014 .007 .001 .043 .307 .147 .003 .023 .044 .001 .006 .005 .101 .710 .268 .009 .061 .080 .003 .000 .000 .363 1.000 .269 .001 .084 .069 .006 .009 .010 .549 .708 .227 .001 .026 .046 .026 .027 .020 .280 .478 .254 .020 .000 .022 .008 .001 .017 .165 .476 .169 .019 .002 .002 .000 .005 .038 .233 .212 .029 .013 .049 .080 r_peak,r_snr = .1286925 19.45665 Correlation Surface of oversamples image at 546 4246 .004 .001 .000 .048 .231 .401 .358 .187 .064 .001 .004 .001 .100 .398 .619 .487 .222 .063 .000 .001 .019 .236 .672 .847 .547 .212 .048 .000 .001 .076 .448 .937 .930 .499 .174 .032 .000 .008 .161 .629 1.000 .806 .398 .141 .024 .001 .016 .216 .631 .796 .581 .306 .124 .023 .003 .022 .209 .458 .502 .392 .250 .111 .020 .001 .027 .150 .258 .297 .293 .216 .087 .012 .001 .028 .086 .141 .212 .253 .171 .047 .003 546 -.344 4246 .219 19.45665 .013030 .074097 .012576 Correlation Surface at 646 4246 .167 .062 .028 .123 .378 .185 .000 .010 .000 .175 .086 .046 .135 .469 .139 .000 .033 .027 .141 .111 .053 .187 .632 .271 .013 .063 .051 .087 .062 .030 .205 .856 .523 .021 .033 .026 .038 .014 .010 .203 1.000 .497 .006 .019 .029 .000 .007 .005 .133 .681 .222 .000 .032 .026 .031 .086 .021 .112 .337 .108 .000 .030 .002 .041 .049 .003 .167 .277 .168 .011 .009 .000 .010 .000 .033 .218 .331 .230 .028 .000 .000 r_peak,r_snr = .1695806 17.36871 Correlation Surface of oversamples image at 646 4246 .058 .052 .145 .386 .573 .422 .156 .023 .002 .039 .053 .189 .508 .742 .593 .291 .089 .004 .028 .060 .232 .608 .895 .768 .433 .162 .019 .027 .071 .261 .669 .999 .880 .505 .187 .024 .027 .072 .263 .676 1.000 .853 .456 .145 .013 .015 .053 .232 .606 .858 .677 .312 .073 .002 .001 .026 .174 .467 .616 .432 .158 .022 .001 .005 .011 .125 .323 .380 .229 .064 .004 .005 .009 .012 .106 .225 .230 .126 .034 .003 .003 646 .125 4246 .750 17.36872 .007132 .057609 .003480 Correlation Surface at 746 4246 .113 .078 .016 .025 .301 .564 .027 .130 .126 .058 .082 .121 .014 .451 .438 .067 .123 .053 .134 .296 .334 .003 .358 .482 .101 .090 .011 .318 .273 .184 .006 .635 .772 .078 .050 .020 .283 .117 .120 .060 1.000 .627 .010 .043 .033 .215 .176 .091 .156 .618 .154 .009 .017 .000 .291 .182 .010 .089 .262 .021 .004 .005 .005 .147 .100 .025 .002 .075 .000 .007 .021 .013 .044 .266 .083 .002 .000 .000 .068 .005 .055 r_peak,r_snr = 9.37939E-02 12.38276 Correlation Surface of oversamples image at 746 4246 .158 .004 .191 .640 .721 .500 .290 .108 .001 .145 .000 .183 .551 .688 .602 .393 .112 .001 .103 .000 .131 .480 .752 .736 .411 .065 .015 .077 .003 .094 .507 .911 .812 .335 .027 .027 .087 .010 .098 .609 1.000 .709 .215 .010 .026 .110 .006 .156 .686 .857 .460 .103 .003 .017 .096 .001 .230 .609 .550 .214 .031 .000 .008 .054 .015 .223 .404 .279 .075 .004 .000 .001 .025 .018 .140 .224 .141 .027 .000 .001 .004 746 .563 4246 -.625 12.38276 .024147 .097078 .026830 Correlation Surface at 846 4246 .035 .108 .409 .004 .621 .484 .010 .038 .057 .013 .338 .837 .033 .518 .297 .016 .006 .014 .046 .742 .929 .006 .503 .208 .010 .000 .021 .131 .790 .375 .074 .814 .245 .018 .000 .058 .234 .393 .057 .269 1.000 .232 .039 .027 .048 .189 .065 .004 .236 .632 .098 .075 .052 .026 .010 .000 .002 .197 .312 .049 .065 .004 .029 .018 .000 .002 .201 .271 .103 .027 .001 .022 .006 .047 .004 .183 .278 .055 .000 .000 .021 r_peak,r_snr = .1136687 10.80816 Correlation Surface of oversamples image at 846 4246 .641 .168 .002 .157 .306 .242 .106 .039 .021 .323 .036 .048 .296 .463 .375 .194 .079 .031 .112 .000 .145 .490 .703 .598 .335 .131 .043 .020 .020 .255 .684 .933 .777 .414 .149 .056 .000 .055 .335 .791 1.000 .754 .349 .120 .067 .009 .089 .376 .775 .868 .560 .217 .081 .074 .025 .121 .397 .675 .642 .347 .121 .060 .069 .042 .161 .410 .562 .455 .222 .087 .056 .052 .056 .194 .406 .477 .361 .185 .090 .054 .028 846 2.500 4246 2.906 10.80816 .012712 .100141 .012405 Correlation Surface at 946 4246 .072 .086 .117 .152 .131 .192 .241 .089 .053 .019 .041 .053 .162 .287 .454 .327 .053 .030 .016 .019 .034 .230 .487 .799 .211 .037 .003 .033 .035 .052 .313 .846 .892 .126 .055 .008 .090 .076 .096 .467 1.000 .527 .159 .108 .031 .130 .080 .147 .467 .553 .340 .232 .101 .031 .063 .058 .130 .234 .266 .344 .141 .030 .004 .033 .060 .077 .095 .306 .188 .018 .002 .002 .017 .051 .052 .116 .335 .037 .000 .001 .000 r_peak,r_snr = .1261535 6.7442 Correlation Surface of oversamples image at 946 4246 .013 .074 .155 .228 .346 .485 .443 .238 .086 .027 .129 .242 .355 .530 .632 .469 .196 .056 .058 .203 .358 .551 .774 .767 .455 .152 .035 .105 .280 .492 .776 .971 .793 .387 .111 .024 .165 .353 .617 .932 1.000 .682 .293 .088 .027 .219 .402 .681 .928 .844 .500 .219 .092 .046 .243 .403 .636 .760 .601 .342 .188 .119 .079 .229 .343 .492 .530 .401 .262 .199 .155 .110 .184 .242 .322 .347 .296 .251 .226 .177 .121 946 8.344 4246 -11.531 6.74420 .028289 .073687 .021662 Correlation Surface at 1046 4246 .150 .008 .101 .001 .018 .106 .001 .013 .009 .170 .005 .093 .003 .012 .079 .014 .009 .086 .183 .002 .059 .006 .076 .200 .024 .080 .045 .205 .001 .000 .001 .516 .432 .053 .073 .009 .107 .002 .018 .011 1.000 .357 .028 .000 .024 .032 .001 .007 .003 .596 .150 .027 .001 .002 .012 .011 .023 .002 .190 .185 .201 .062 .002 .014 .015 .050 .000 .160 .406 .325 .029 .004 .093 .010 .000 .134 .298 .336 .064 .007 .001 r_peak,r_snr = 9.42852E-02 13.93083 Correlation Surface of oversamples image at 1046 4246 .000 .015 .025 .001 .102 .267 .330 .253 .138 .007 .026 .014 .026 .247 .459 .426 .234 .111 .018 .038 .004 .104 .514 .732 .490 .189 .090 .037 .053 .000 .223 .826 .956 .481 .148 .080 .068 .074 .000 .317 1.000 .976 .399 .118 .077 .107 .093 .000 .321 .904 .764 .282 .102 .087 .142 .109 .000 .230 .597 .459 .184 .111 .125 .163 .118 .003 .110 .290 .234 .140 .155 .198 .164 .112 .008 .036 .124 .141 .161 .242 .283 1046 .250 4246 -.031 13.93083 .010706 .053939 .004807 Correlation Surface at 1146 4246 .158 .042 .001 .014 .163 .068 .005 .154 .125 .226 .028 .067 .003 .611 .254 .090 .192 .080 .165 .002 .142 .052 .948 .375 .082 .056 .015 .044 .022 .108 .136 .903 .448 .025 .004 .000 .009 .085 .049 .148 1.000 .404 .000 .014 .005 .019 .027 .005 .204 .937 .142 .020 .038 .010 .041 .003 .000 .203 .393 .063 .002 .011 .000 .003 .001 .005 .095 .133 .151 .007 .004 .003 .019 .024 .004 .111 .137 .089 .013 .000 .004 r_peak,r_snr = .1386926 19.07474 Correlation Surface of oversamples image at 1146 4246 .000 .000 .017 .118 .252 .252 .135 .068 .090 .010 .004 .025 .215 .458 .457 .271 .160 .162 .024 .005 .053 .364 .714 .692 .429 .253 .188 .033 .002 .096 .513 .918 .872 .553 .298 .155 .033 .000 .138 .593 1.000 .961 .613 .282 .097 .029 .001 .157 .588 .987 .986 .611 .227 .051 .020 .005 .158 .547 .958 .983 .559 .165 .025 .008 .011 .151 .516 .940 .927 .451 .102 .009 .001 .016 .151 .520 .917 .791 .303 .045 .000 1146 .219 4246 .781 19.07474 .017937 .945116 .097086 Correlation Surface at 1246 4246 .126 .000 .130 .196 .363 .430 .389 .139 .236 .205 .000 .044 .068 .322 .423 .180 .086 .416 .234 .001 .016 .051 .464 .538 .169 .240 .702 .189 .014 .047 .149 .789 .727 .344 .580 .738 .106 .009 .042 .174 1.000 .943 .485 .610 .430 .096 .005 .000 .093 .994 .771 .338 .380 .186 .119 .040 .021 .096 .731 .348 .194 .275 .150 .091 .033 .013 .115 .490 .253 .179 .235 .205 .028 .008 .013 .084 .439 .316 .156 .156 .241 r_peak,r_snr = .1443536 8.82849 Correlation Surface of oversamples image at 1246 4246 .005 .033 .191 .451 .549 .415 .240 .150 .158 .014 .062 .268 .564 .634 .449 .276 .212 .248 .025 .092 .345 .685 .739 .524 .345 .279 .308 .022 .103 .409 .815 .878 .629 .409 .306 .305 .009 .099 .468 .946 1.000 .691 .411 .276 .251 .001 .096 .513 .996 .986 .624 .333 .206 .177 .000 .108 .525 .907 .803 .455 .221 .131 .107 .002 .134 .498 .724 .567 .294 .133 .074 .058 .009 .151 .420 .528 .387 .194 .082 .038 .028 1246 .250 4246 1.813 8.82849 .017149 .360365 -.018500 Correlation Surface at 1346 4246 .099 .014 .007 .070 .443 .331 .059 .127 .444 .025 .000 .001 .064 .735 .336 .029 .157 .430 .045 .003 .004 .078 .836 .276 .039 .178 .243 .128 .012 .010 .154 .976 .363 .124 .193 .158 .125 .008 .000 .334 1.000 .418 .248 .193 .155 .077 .045 .045 .415 .653 .388 .271 .152 .090 .243 .187 .077 .243 .293 .237 .186 .094 .092 .485 .155 .085 .187 .115 .088 .104 .095 .285 .308 .077 .235 .289 .094 .061 .065 .110 .372 r_peak,r_snr = .1313776 6.81823 Correlation Surface of oversamples image at 1346 4246 .000 .018 .190 .543 .848 .829 .516 .232 .110 .001 .020 .189 .584 .970 .941 .553 .232 .115 .001 .014 .168 .598 1.000 .894 .464 .179 .103 .002 .007 .155 .597 .938 .739 .329 .122 .087 .003 .005 .157 .595 .854 .595 .238 .089 .080 .003 .007 .182 .614 .821 .541 .214 .085 .089 .000 .022 .240 .678 .857 .565 .235 .106 .116 1346 .125 4246 -.875 6.81823 .014260 .151356 .013872 Correlation Surface at 1446 4246 .026 .000 .010 .037 .180 .249 .062 .009 .066 .063 .013 .015 .028 .206 .193 .003 .030 .073 .117 .051 .030 .079 .243 .117 .002 .005 .107 .161 .118 .029 .103 .450 .296 .120 .000 .164 .207 .101 .007 .210 1.000 .542 .177 .008 .090 .224 .072 .007 .233 .744 .215 .036 .005 .010 .248 .034 .000 .117 .234 .038 .007 .000 .000 .102 .001 .004 .131 .157 .061 .012 .000 .003 .000 .033 .001 .131 .251 .136 .005 .001 .007 r_peak,r_snr = .1293063 15.57511 Correlation Surface of oversamples image at 1446 4246 .034 .049 .134 .258 .319 .258 .119 .028 .008 .059 .080 .178 .330 .417 .332 .167 .074 .056 .080 .097 .215 .442 .598 .510 .322 .216 .170 .076 .093 .251 .587 .837 .753 .552 .416 .279 .048 .073 .270 .700 1.000 .914 .720 .525 .278 .014 .039 .240 .677 .941 .865 .688 .438 .173 .000 .008 .161 .507 .683 .627 .467 .235 .062 .030 .000 .092 .319 .413 .362 .228 .079 .010 .071 .002 .068 .217 .254 .194 .093 .017 .000 1446 .094 4246 .125 15.57512 .012968 .033218 .003613 Correlation Surface at 1546 4246 .225 .274 .022 .100 .474 .113 .001 .100 .037 .173 .261 .101 .254 .381 .098 .001 .066 .000 .127 .064 .073 .104 .489 .256 .007 .002 .031 .024 .007 .005 .116 .931 .611 .079 .057 .079 .033 .052 .029 .202 1.000 .714 .217 .179 .031 .160 .084 .005 .101 .661 .634 .352 .162 .000 .154 .058 .000 .096 .313 .462 .247 .072 .017 .040 .001 .049 .116 .097 .134 .076 .011 .041 .013 .136 .160 .082 .025 .051 .037 .005 .071 r_peak,r_snr = .1110982 8.55594 Correlation Surface of oversamples image at 1546 4246 .073 .130 .210 .301 .304 .143 .017 .001 .023 .034 .063 .153 .348 .446 .275 .092 .013 .004 .000 .012 .139 .478 .673 .499 .250 .074 .002 .025 .001 .180 .650 .903 .745 .435 .163 .031 .061 .002 .248 .741 1.000 .885 .552 .249 .101 .059 .011 .268 .665 .913 .862 .584 .340 .227 .031 .021 .213 .496 .732 .755 .607 .476 .417 .011 .019 .133 .342 .556 .654 .669 .657 .613 .002 .012 .081 .238 .413 .567 .715 .764 .668 1546 .094 4246 .531 8.55594 .021286 .175790 -.003008 Correlation Surface at 1646 4246 .087 .169 .280 .551 .530 .540 .366 .116 .007 .046 .224 .373 .589 .591 .595 .330 .110 .029 .057 .244 .385 .649 .811 .609 .369 .143 .067 .073 .185 .341 .750 .998 .645 .401 .167 .128 .066 .124 .305 .837 1.000 .622 .324 .193 .168 .042 .106 .315 .911 .918 .508 .248 .170 .107 .032 .103 .354 .921 .875 .403 .190 .141 .110 .016 .079 .342 .870 .830 .348 .212 .189 .155 .001 .051 .310 .887 .815 .429 .260 .172 .096 r_peak,r_snr = .1980606 5.88837 Correlation Surface of oversamples image at 1646 4246 .816 1.627 2.674 3.457 3.608 3.411 2.789 1.810 1.102 .822 1.596 2.521 3.248 3.604 3.488 2.633 1.562 .927 .746 1.394 2.202 3.019 3.631 3.473 2.446 1.437 .880 .610 1.143 1.938 2.971 3.775 3.527 2.503 1.592 1.017 1646 .625 4246 .813 5.88837 .075212 1.641869 .275447 Correlation Surface at 1746 4246 .000 .001 .001 .056 .253 .111 .001 .000 .015 .001 .007 .002 .117 .568 .384 .006 .012 .097 .033 .043 .005 .239 .857 .414 .008 .041 .034 .165 .089 .014 .255 .947 .446 .002 .007 .007 .148 .052 .002 .195 1.000 .576 .027 .001 .015 .052 .003 .001 .248 .832 .330 .005 .023 .006 .031 .001 .001 .260 .405 .100 .017 .046 .009 .014 .001 .000 .127 .184 .105 .097 .022 .009 .019 .021 .004 .028 .211 .296 .088 .000 .037 r_peak,r_snr = .109197 9.45902 Correlation Surface of oversamples image at 1746 4246 .012 .048 .217 .538 .813 .765 .453 .143 .008 .014 .059 .265 .620 .871 .795 .487 .165 .016 .011 .065 .283 .644 .899 .854 .563 .220 .041 .007 .063 .280 .652 .945 .942 .638 .269 .068 .003 .056 .276 .675 1.000 .977 .622 .253 .065 .001 .051 .286 .709 .997 .870 .479 .172 .039 .000 .051 .313 .721 .877 .637 .292 .086 .017 .000 .059 .343 .675 .669 .403 .162 .042 .013 .000 .064 .328 .529 .439 .245 .102 .035 .026 1746 .219 4246 .094 9.45902 .018302 .662847 .020066 Correlation Surface at 1846 4246 .016 .140 .002 .165 .000 .783 .534 .014 .035 .052 .076 .033 .145 .078 .697 .195 .034 .075 .035 .031 .058 .003 .373 .685 .185 .265 .178 .011 .053 .073 .135 .751 .596 .108 .134 .240 .007 .157 .050 .240 1.000 .475 .088 .045 .124 .038 .207 .001 .317 .967 .385 .247 .009 .020 .182 .072 .024 .375 .486 .265 .259 .003 .044 .166 .012 .066 .182 .138 .248 .055 .009 .062 .100 .001 .113 .057 .290 .354 .006 .016 .016 r_peak,r_snr = 8.05382E-02 6.32837 Correlation Surface of oversamples image at 1846 4246 .064 .001 .136 .386 .592 .574 .361 .206 .152 .037 .017 .189 .434 .678 .661 .414 .222 .128 .025 .023 .176 .452 .786 .772 .472 .233 .128 .022 .015 .158 .519 .928 .856 .486 .242 .170 .020 .010 .171 .621 1.000 .808 .418 .254 .253 .014 .013 .211 .660 .883 .607 .321 .297 .368 .005 .024 .218 .527 .577 .368 .266 .368 .453 .001 .029 .148 .274 .269 .209 .262 .422 .436 .001 .021 .056 .084 .103 .153 .295 .417 .317 1846 .094 4246 -4.094 6.32837 .042961 .849661 .104303 Correlation Surface at 1946 4246 .207 .106 .088 .044 .034 .052 .430 .337 .079 .005 .008 .164 .530 .256 .085 .044 .107 .491 .168 .133 .209 .252 .639 .937 .071 .209 .324 .528 1.000 .827 .163 .131 .246 .437 .868 .459 .050 .010 .101 .218 .674 .269 .006 .007 .035 .116 .297 .158 .094 .041 .034 .016 .056 .063 r_peak,r_snr = .101133 7.14476 Correlation Surface of oversamples image at 1946 4246 .229 .080 .040 .075 .165 .274 .238 .098 .029 .243 .150 .146 .207 .344 .446 .349 .147 .048 .315 .329 .324 .408 .599 .654 .408 .137 .043 .352 .348 .405 .651 .931 .805 .373 .101 .042 .293 .319 .490 .825 1.000 .719 .293 .088 .053 .219 .336 .548 .785 .827 .559 .249 .105 .083 .179 .270 .420 .604 .641 .457 .254 .157 .132 .122 .144 .251 .417 .474 .368 .269 .223 .164 .054 .070 .154 .291 .343 .290 .262 .245 .141 1946 13.500 4246 -8.156 7.14476 .126417 .211625 .100390 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .268 .048 .085 .154 .120 .044 .001 .002 .001 .164 .000 .134 .110 .014 .001 .000 .011 .004 .008 .094 .162 .058 .012 .048 .002 .042 .000 .000 .031 .083 .102 .334 .410 .035 .001 .030 .023 .008 .068 .380 1.000 .621 .068 .010 .012 .008 .006 .204 .690 .918 .461 .050 .000 .008 .003 .122 .343 .456 .501 .303 .012 .001 .011 .002 .064 .121 .067 .247 .122 .006 .009 .002 .027 .004 .013 .006 .125 .050 .027 .029 .000 r_peak,r_snr = .1259903 14.93194 Correlation Surface of oversamples image at 146 4646 .135 .134 .085 .053 .068 .117 .112 .040 .000 .120 .126 .104 .122 .227 .350 .292 .103 .003 .089 .128 .170 .292 .518 .655 .470 .161 .009 .082 .171 .311 .552 .828 .877 .563 .194 .020 .116 .275 .510 .794 1.000 .927 .560 .207 .036 .201 .424 .686 .906 .996 .852 .512 .209 .047 .317 .545 .738 .856 .883 .751 .468 .202 .044 .374 .521 .609 .668 .706 .638 .410 .164 .025 .305 .360 .389 .441 .518 .507 .314 .101 .008 146 .094 4646 -.844 14.93195 .025582 .039170 .012220 Correlation Surface at 246 4646 .369 .126 .009 .048 .000 .035 .010 .032 .219 .166 .011 .215 .127 .000 .032 .000 .021 .138 .001 .422 .498 .161 .149 .567 .069 .052 .031 .100 .505 .491 .116 .724 .893 .136 .000 .021 .031 .187 .251 .006 1.000 .594 .010 .096 .050 .003 .057 .068 .060 .899 .231 .149 .171 .000 .038 .052 .004 .163 .646 .017 .226 .020 .045 .038 .026 .001 .164 .440 .013 .013 .030 .129 .031 .092 .020 .141 .224 .012 .002 .031 .102 r_peak,r_snr = 8.26948E-02 9.21507 Correlation Surface of oversamples image at 246 4646 .218 .153 .068 .022 .002 .004 .011 .006 .003 .297 .173 .039 .003 .076 .147 .102 .034 .012 .348 .156 .002 .124 .414 .459 .233 .069 .024 .372 .109 .024 .435 .855 .696 .293 .085 .029 .368 .063 .106 .700 1.000 .650 .244 .067 .016 .332 .035 .149 .663 .767 .429 .143 .027 .000 .262 .022 .115 .439 .459 .230 .056 .000 .019 .178 .015 .068 .260 .270 .116 .009 .022 .088 .106 .007 .050 .185 .185 .057 .001 .079 .148 246 .469 4646 -1.063 9.21507 .049819 .753491 .167369 Correlation Surface at 346 4646 .091 .142 .200 .274 .069 .002 .020 .152 .615 .012 .042 .243 .300 .000 .005 .017 .174 .230 .080 .003 .348 .140 .000 .083 .220 .342 .165 .088 .043 .363 .152 .334 .366 .270 .284 .184 .021 .068 .284 .702 1.000 .130 .035 .069 .150 .001 .091 .325 .911 .561 .012 .011 .061 .193 .125 .282 .232 .434 .237 .013 .096 .080 .021 .311 .226 .129 .135 .084 .024 .388 .066 .045 .080 .052 .033 .002 .002 .199 .796 .074 .020 r_peak,r_snr = 8.68921E-02 8.14584 Correlation Surface of oversamples image at 346 4646 .004 .134 .360 .182 .006 .021 .012 .007 .083 .012 .261 .387 .172 .034 .021 .075 .175 .238 .126 .432 .462 .287 .223 .309 .414 .355 .246 .306 .566 .594 .554 .652 .799 .646 .283 .109 .390 .597 .705 .825 1.000 .933 .444 .073 .005 .335 .505 .670 .833 .879 .561 .114 .002 .033 .239 .355 .484 .564 .463 .167 .000 .082 .121 .181 .225 .283 .280 .162 .020 .031 .159 .147 .168 .162 .175 .133 .052 .000 .052 .152 .077 346 .656 4646 8.063 8.14584 .039362 .052312 .026756 Correlation Surface at 446 4646 .028 .001 .039 .142 .402 .346 .128 .116 .051 .002 .003 .055 .216 .581 .200 .112 .052 .006 .000 .024 .088 .293 .564 .348 .248 .087 .024 .002 .065 .216 .419 .746 .725 .440 .170 .009 .002 .042 .261 .634 1.000 .749 .425 .088 .010 .057 .000 .168 .688 .876 .542 .345 .048 .014 .100 .014 .077 .448 .591 .446 .296 .072 .008 .060 .007 .016 .187 .367 .315 .182 .095 .049 .002 .001 .002 .073 .164 .152 .100 .052 .016 r_peak,r_snr = .1494145 10.11198 Correlation Surface of oversamples image at 446 4646 .023 .030 .055 .179 .442 .607 .479 .244 .112 .025 .034 .104 .351 .687 .683 .386 .159 .078 .027 .053 .206 .594 .904 .700 .333 .144 .085 .039 .098 .346 .803 1.000 .692 .354 .200 .137 .076 .180 .482 .892 .986 .714 .465 .330 .242 .155 .293 .566 .870 .946 .799 .648 .512 .389 .248 .378 .575 .805 .930 .917 .833 .685 .538 .295 .397 .546 .751 .919 .976 .922 .781 .620 446 -.125 4646 -2.219 10.11199 .055601 .137467 .044167 Correlation Surface at 546 4646 .016 .013 .009 .019 .021 .001 .037 .082 .046 .000 .031 .000 .014 .001 .029 .037 .058 .019 .001 .003 .011 .011 .059 .037 .002 .023 .004 .005 .002 .000 .058 .722 .317 .000 .014 .009 .001 .001 .001 .280 1.000 .127 .010 .028 .031 .004 .066 .068 .331 .293 .006 .012 .012 .013 .138 .143 .101 .201 .127 .014 .001 .003 .001 .058 .003 .024 .248 .304 .071 .043 .003 .006 .028 .037 .016 .394 .462 .270 .077 .001 .074 r_peak,r_snr = .109562 12.41553 Correlation Surface of oversamples image at 546 4646 .016 .006 .000 .000 .015 .029 .012 .001 .001 .005 .000 .000 .031 .173 .230 .118 .024 .000 .000 .003 .007 .187 .555 .549 .220 .032 .000 .005 .001 .060 .481 .940 .688 .195 .015 .002 .001 .006 .186 .732 1.000 .528 .095 .002 .007 .004 .051 .319 .750 .717 .256 .023 .000 .009 .032 .114 .362 .564 .373 .088 .005 .000 .003 .052 .132 .302 .348 .178 .045 .010 .004 .000 .030 .088 .204 .222 .132 .067 .037 .018 .005 546 -.031 4646 -.156 12.41553 .012026 .032486 .008323 Correlation Surface at 646 4646 .000 .167 .014 .015 .043 .001 .056 .156 .139 .006 .049 .005 .058 .000 .010 .010 .144 .163 .000 .002 .007 .027 .134 .061 .011 .075 .024 .037 .007 .002 .014 .538 .316 .054 .009 .021 .254 .055 .017 .065 1.000 .488 .040 .006 .023 .301 .123 .005 .087 .670 .205 .001 .050 .001 .255 .046 .006 .028 .109 .048 .008 .048 .050 .127 .020 .075 .001 .065 .133 .001 .024 .015 .008 .236 .049 .039 .380 .212 .041 .093 .006 r_peak,r_snr = 8.43876E-02 10.79079 Correlation Surface of oversamples image at 646 4646 .013 .000 .001 .029 .099 .093 .025 .002 .003 .020 .018 .042 .135 .268 .245 .097 .017 .004 .055 .080 .146 .337 .565 .495 .212 .039 .002 .122 .165 .281 .598 .886 .693 .264 .034 .001 .187 .222 .387 .782 1.000 .651 .189 .008 .016 .201 .216 .398 .738 .785 .398 .069 .002 .050 .152 .156 .301 .490 .415 .146 .006 .023 .091 .073 .080 .165 .224 .143 .030 .001 .040 .107 .014 .027 .066 .075 .040 .009 .001 .031 .079 646 -.031 4646 .438 10.79080 .018899 .085347 .007919 Correlation Surface at 746 4646 .002 .001 .000 .057 .152 .006 .036 .008 .004 .079 .044 .010 .031 .220 .000 .047 .010 .001 .045 .095 .029 .039 .258 .002 .015 .000 .001 .004 .144 .039 .111 .601 .107 .001 .007 .002 .003 .160 .064 .343 1.000 .183 .005 .001 .015 .006 .159 .175 .467 .599 .068 .007 .021 .023 .006 .173 .245 .245 .187 .000 .042 .001 .002 .009 .149 .135 .114 .104 .000 .000 .110 .072 .052 .070 .027 .069 .122 .015 .112 .242 .045 r_peak,r_snr = .1280536 20.70351 Correlation Surface of oversamples image at 746 4646 .025 .004 .013 .087 .177 .088 .001 .112 .179 .055 .007 .016 .118 .278 .205 .017 .037 .092 .066 .011 .034 .218 .515 .449 .103 .002 .037 .060 .019 .082 .396 .821 .696 .190 .001 .021 .067 .046 .166 .582 1.000 .744 .182 .000 .029 .102 .098 .260 .674 .949 .593 .108 .003 .057 .157 .159 .313 .637 .751 .382 .038 .023 .104 .206 .199 .319 .546 .549 .219 .005 .058 .144 .219 .203 .300 .454 .388 .121 .000 .082 .136 746 .063 4646 .094 20.70351 .009888 .037160 .005304 Correlation Surface at 846 4646 .104 .037 .064 .248 .279 .102 .078 .055 .044 .025 .044 .146 .254 .217 .089 .045 .001 .000 .002 .020 .111 .182 .152 .164 .016 .023 .001 .002 .010 .114 .249 .392 .335 .010 .002 .020 .030 .039 .128 .488 1.000 .358 .029 .017 .004 .020 .005 .076 .553 .764 .177 .049 .013 .035 .001 .007 .042 .171 .195 .055 .013 .005 .059 .002 .000 .017 .011 .050 .011 .001 .000 .000 .024 .015 .031 .007 .024 .003 .027 .068 .066 r_peak,r_snr = .13629 14.82512 Correlation Surface of oversamples image at 846 4646 .082 .239 .406 .449 .338 .206 .177 .204 .130 .129 .375 .602 .614 .457 .325 .297 .259 .109 .223 .552 .810 .792 .642 .532 .450 .279 .082 .330 .664 .914 .930 .861 .761 .552 .252 .062 .338 .597 .845 .975 1.000 .867 .536 .201 .052 .203 .390 .672 .904 .947 .766 .423 .151 .049 .059 .205 .507 .738 .726 .541 .285 .107 .037 .004 .115 .380 .519 .455 .317 .169 .062 .013 .000 .085 .269 .302 .232 .157 .084 .021 .000 846 -.594 4646 -.875 14.82513 .015498 .027605 .006022 Correlation Surface at 946 4646 .544 .332 .140 .197 .347 .242 .252 .093 .166 .467 .217 .307 .093 .121 .635 .269 .379 .095 .168 .934 .221 .286 .059 .366 1.000 .153 .093 .053 .588 .690 .126 .019 .111 .579 .358 .198 .030 .142 .233 .204 .225 .099 .089 .087 .248 r_peak,r_snr = .1260943 5.38709 Correlation Surface of oversamples image at 946 4646 .114 .054 .035 .075 .221 .413 .487 .439 .363 .114 .038 .031 .133 .418 .663 .632 .450 .298 .109 .030 .046 .252 .672 .875 .675 .382 .210 .104 .036 .096 .433 .906 .963 .611 .293 .149 .096 .055 .184 .611 1.000 .882 .487 .222 .117 .092 .091 .287 .700 .918 .698 .369 .180 .103 .102 .145 .369 .678 .736 .516 .289 .155 .095 .121 .201 .399 .569 .532 .371 .223 .122 .079 .142 .238 .373 .425 .366 .268 .166 .089 .066 946 14.188 4646 -3.688 5.38709 .020918 .214953 .044724 Correlation Surface at 1046 4646 .017 .033 .007 .026 .185 .328 .065 .088 .232 .298 .082 .110 .168 .342 .621 .143 .000 .042 .378 .942 .706 .230 .057 .014 .282 1.000 .548 .526 .142 .005 .074 .264 .280 .470 .070 .002 .018 .001 .126 .342 .080 .147 .002 .010 .062 .214 .154 .196 .082 .001 .009 .142 .250 .095 r_peak,r_snr = 7.94268E-02 7.41471 Correlation Surface of oversamples image at 1046 4646 .008 .027 .049 .092 .190 .370 .515 .421 .157 .020 .044 .081 .181 .407 .665 .691 .407 .090 .036 .075 .152 .354 .684 .872 .717 .337 .054 .063 .135 .292 .619 .929 .927 .654 .299 .061 .092 .210 .477 .862 1.000 .815 .551 .297 .091 .098 .268 .612 .915 .843 .609 .454 .302 .111 .069 .265 .586 .713 .541 .393 .365 .285 .099 .029 .199 .410 .396 .261 .232 .296 .251 .072 .006 .117 .206 .149 .098 .147 .255 .220 .059 1046 -13.563 4646 5.969 7.41471 .038628 .072502 -.001271 Correlation Surface at 1146 4646 .161 .205 .049 .039 .275 .049 .002 .000 .009 .153 .147 .010 .118 .318 .030 .005 .001 .001 .098 .089 .002 .211 .351 .149 .007 .000 .000 .059 .020 .027 .250 .668 .462 .018 .002 .014 .093 .000 .033 .286 1.000 .491 .003 .035 .062 .127 .001 .003 .264 .613 .238 .000 .073 .091 .078 .036 .015 .096 .180 .153 .003 .029 .023 .044 .077 .056 .001 .101 .128 .015 .003 .006 .053 .041 .061 .001 .125 .086 .041 .061 .040 r_peak,r_snr = .117451 14.01264 Correlation Surface of oversamples image at 1146 4646 .191 .423 .629 .554 .285 .096 .021 .002 .001 .253 .505 .659 .579 .393 .226 .094 .025 .005 .290 .498 .630 .667 .611 .432 .200 .060 .010 .282 .421 .599 .816 .866 .615 .281 .087 .011 .219 .317 .571 .930 1.000 .667 .289 .082 .004 .129 .223 .528 .930 .954 .592 .238 .052 .000 .052 .151 .462 .819 .787 .464 .166 .019 .007 .008 .088 .350 .606 .563 .327 .095 .001 .027 .002 .036 .209 .370 .361 .213 .042 .004 .046 1146 .313 4646 6.688 14.01264 .017050 .053267 .005124 Correlation Surface at 1246 4646 .019 .198 .371 .372 .315 .202 .096 .028 .005 .011 .078 .154 .143 .128 .150 .086 .014 .014 .019 .031 .039 .084 .242 .369 .134 .002 .006 .049 .029 .036 .259 .753 .613 .088 .003 .000 .046 .040 .153 .710 1.000 .338 .064 .039 .001 .021 .058 .422 .894 .746 .170 .121 .047 .018 .019 .080 .501 .673 .598 .259 .110 .009 .047 .012 .095 .405 .594 .694 .359 .023 .001 .006 .000 .102 .249 .585 .746 .261 .000 .000 .003 r_peak,r_snr = .1407568 10.35799 Correlation Surface of oversamples image at 1246 4646 .015 .027 .064 .142 .294 .527 .657 .533 .295 .017 .037 .105 .242 .490 .779 .826 .568 .257 .032 .080 .211 .435 .748 .962 .833 .468 .175 .059 .167 .391 .685 .952 .980 .692 .310 .105 .100 .295 .601 .881 1.000 .867 .519 .197 .078 .150 .427 .750 .925 .911 .730 .407 .160 .094 .198 .515 .772 .840 .799 .653 .381 .188 .148 .228 .529 .707 .749 .755 .653 .422 .263 .215 .231 .494 .645 .727 .780 .690 .488 .340 .236 1246 -.281 4646 -4.844 10.35799 .046711 .146010 .065228 Correlation Surface at 1346 4646 .001 .001 .001 .046 .609 .488 .094 .088 .133 .009 .020 .017 .049 .805 .520 .090 .145 .109 .041 .044 .016 .087 .697 .303 .098 .208 .155 .016 .007 .002 .162 .672 .344 .223 .299 .133 .011 .014 .042 .319 1.000 .499 .287 .263 .022 .087 .086 .130 .404 .945 .328 .172 .086 .004 .120 .130 .122 .163 .389 .132 .110 .031 .073 .082 .091 .008 .005 .066 .061 .108 .034 .059 .064 .036 .024 .051 .000 .005 .092 .086 .026 r_peak,r_snr = .1197964 9.82469 Correlation Surface of oversamples image at 1346 4646 .077 .009 .033 .206 .361 .326 .186 .133 .217 .051 .001 .051 .224 .394 .413 .312 .277 .365 .023 .002 .094 .318 .564 .627 .506 .431 .459 .002 .024 .181 .499 .826 .842 .621 .465 .417 .008 .081 .301 .695 1.000 .866 .546 .349 .276 .048 .145 .381 .752 .914 .661 .348 .187 .143 .088 .165 .353 .608 .635 .395 .172 .080 .072 .086 .117 .226 .362 .350 .199 .075 .039 .051 .042 .042 .088 .157 .164 .095 .039 .032 .056 1346 .094 4646 3.531 9.82469 .019248 .178664 .018886 Correlation Surface at 1446 4646 .001 .010 .073 .006 .017 .049 .050 .020 .446 .049 .021 .173 .071 .000 .022 .058 .013 .155 .006 .129 .686 .064 .011 .122 .150 .031 .007 .066 .580 .492 .019 .295 .629 .158 .034 .001 .037 .277 .019 .355 1.000 .500 .000 .000 .038 .001 .040 .000 .525 .679 .047 .152 .000 .193 .005 .172 .012 .205 .172 .019 .070 .162 .356 r_peak,r_snr = 7.23819E-02 8.56797 Correlation Surface of oversamples image at 1446 4646 .217 .035 .001 .001 .008 .036 .045 .003 .008 .162 .015 .002 .033 .107 .204 .148 .018 .000 .049 .001 .057 .208 .408 .476 .216 .023 .009 .000 .049 .240 .571 .806 .644 .193 .019 .024 .032 .156 .491 .905 1.000 .590 .121 .009 .023 .064 .230 .597 .922 .875 .424 .057 .000 .005 .046 .189 .448 .648 .609 .272 .017 .013 .002 .016 .097 .230 .375 .415 .187 .002 .040 .009 .004 .030 .088 .221 .317 .145 .000 .032 .000 1446 9.281 4646 12.156 8.56797 .087583 .102295 .066147 Correlation Surface at 1546 4646 .001 .002 .085 .233 .210 .353 .353 .115 .070 .010 .001 .079 .157 .423 .452 .201 .057 .044 .060 .000 .001 .094 .622 .473 .194 .038 .010 .049 .046 .012 .130 .879 .661 .213 .032 .020 .066 .130 .000 .194 1.000 .535 .120 .073 .088 .093 .029 .007 .183 .687 .229 .088 .087 .098 .058 .001 .007 .180 .390 .104 .060 .035 .050 .033 .001 .021 .181 .258 .117 .023 .005 .018 .002 .000 .036 .156 .328 .224 .042 .000 .018 r_peak,r_snr = .1159905 11.90054 Correlation Surface of oversamples image at 1546 4646 .193 .233 .360 .522 .546 .432 .303 .212 .122 .088 .180 .402 .628 .642 .499 .362 .264 .142 .039 .166 .462 .740 .768 .626 .479 .342 .167 .031 .187 .539 .864 .918 .752 .550 .363 .174 .050 .234 .612 .965 1.000 .751 .488 .305 .165 .085 .276 .646 .970 .922 .597 .343 .227 .155 .102 .273 .600 .849 .712 .400 .225 .179 .155 .084 .225 .496 .659 .496 .268 .174 .170 .159 .057 .174 .387 .485 .351 .209 .166 .170 .143 1546 .250 4646 .688 11.90055 .018375 .163844 .024568 Correlation Surface at 1646 4646 .209 .444 .373 .237 .378 .350 .104 .201 .306 .182 .245 .338 .411 .426 .279 .095 .079 .221 .081 .105 .438 .567 .451 .348 .051 .026 .277 .034 .069 .533 .592 .668 .555 .084 .156 .290 .009 .101 .532 .581 1.000 .559 .199 .305 .198 .001 .161 .363 .562 .763 .229 .129 .227 .094 .009 .099 .261 .608 .297 .075 .094 .091 .006 r_peak,r_snr = .117963 6.47476 Correlation Surface of oversamples image at 1646 4646 .574 .668 .601 .539 .541 .566 .481 .263 .091 .561 .620 .553 .536 .629 .714 .565 .287 .124 .567 .595 .554 .610 .794 .869 .621 .325 .189 .589 .593 .595 .736 .960 .930 .608 .342 .237 .580 .578 .643 .849 1.000 .819 .488 .282 .209 .501 .530 .671 .873 .856 .566 .293 .168 .144 .405 .508 .713 .830 .636 .327 .149 .094 .109 .388 .590 .810 .778 .474 .214 .105 .085 .118 .473 .738 .874 .707 .409 .213 .132 .117 .135 1646 2.125 4646 12.250 6.47476 .038691 .088175 .016890 Correlation Surface at 1746 4646 .067 .073 .093 .029 .139 .211 .346 .430 .185 .010 .049 .031 .029 .065 .079 .046 .007 .011 .046 .095 .068 .002 .059 .077 .003 .023 .059 .383 .438 .029 .027 .560 .236 .002 .054 .117 .585 .263 .002 .356 1.000 .120 .034 .130 .004 .164 .012 .036 .306 .417 .028 .110 .147 .003 .025 .063 .014 .090 .268 .032 .223 .257 .018 .006 .011 .001 .058 .417 .047 .119 .132 .007 .000 .029 .025 .001 .364 .065 .000 .000 .127 r_peak,r_snr = 6.61010E-02 10.19358 Correlation Surface of oversamples image at 1746 4646 .007 .058 .092 .007 .031 .084 .045 .009 .003 .000 .114 .084 .005 .164 .242 .118 .036 .016 .013 .131 .019 .132 .487 .473 .206 .065 .021 .036 .070 .018 .467 .858 .634 .240 .059 .005 .040 .007 .164 .785 1.000 .624 .201 .022 .006 .024 .008 .301 .805 .843 .492 .128 .000 .061 .010 .029 .273 .560 .567 .346 .062 .018 .144 .002 .027 .148 .304 .370 .254 .027 .054 .213 .000 .011 .062 .187 .308 .230 .017 .072 .227 1746 4.875 4646 -.969 10.19359 .033068 .087614 .021399 Correlation Surface at 1846 4646 .311 .010 .048 .201 .000 .117 .451 .488 .004 .107 .020 .155 .205 .011 .004 .393 .298 .041 .061 .020 .311 .183 .152 .035 .081 .071 .106 .394 .235 .349 .186 .532 .312 .053 .004 .161 .381 .170 .211 .256 1.000 .450 .185 .001 .234 .161 .199 .243 .433 .581 .167 .065 .053 .150 .175 .346 .511 .326 .227 .190 .054 .052 .005 .099 .281 .378 .092 .391 .562 .109 .047 .010 .031 .112 .044 .011 .433 .466 .000 .038 .018 r_peak,r_snr = 7.65420E-02 10.01679 Correlation Surface of oversamples image at 1846 4646 .040 .075 .050 .068 .164 .182 .026 .038 .145 .046 .073 .084 .205 .417 .363 .075 .002 .022 .059 .080 .136 .365 .652 .540 .190 .050 .055 .059 .077 .172 .492 .855 .741 .404 .282 .402 .047 .066 .194 .598 1.000 .893 .589 .525 .757 .046 .068 .228 .640 .959 .823 .531 .513 .767 .080 .109 .267 .558 .700 .509 .278 .310 .514 .178 .177 .263 .374 .363 .191 .079 .133 .239 .288 .213 .201 .201 .158 .055 .017 .052 .082 1846 -.875 4646 -4.344 10.01680 .035618 .084497 .014624 Correlation Surface at 1946 4646 .427 .138 .040 .120 .043 .004 .095 .135 .514 .177 .014 .011 .000 .012 .001 .017 .834 .522 .054 .065 .166 .020 .080 .031 1.375 .669 .001 .658 .628 .001 .176 .188 1.242 .208 .093 1.000 .428 .001 .221 .095 .520 .037 .081 .308 .134 .001 .024 .007 .164 .014 .000 .067 .017 .001 .087 .032 .022 .000 .001 .038 .000 .019 .125 .025 .000 .001 .002 .016 .047 .049 .027 .004 r_peak,r_snr = 7.34476E-02 7.69922 Correlation Surface of oversamples image at 1946 4646 .020 .006 .087 .193 .197 .096 .034 .028 .043 .049 .003 .086 .206 .257 .178 .079 .035 .014 .079 .005 .114 .306 .456 .345 .133 .022 .001 .087 .014 .199 .539 .764 .525 .162 .006 .034 .055 .044 .359 .837 1.000 .599 .153 .000 .087 .012 .108 .529 .990 .994 .531 .118 .001 .116 .000 .160 .543 .842 .750 .360 .065 .005 .118 .010 .152 .388 .537 .446 .184 .020 .012 .092 .010 .083 .200 .286 .222 .068 .001 .017 .050 1946 -8.219 4646 6.844 7.69922 .027895 .065749 .017229 Correlation Surface at 2046 4646 .092 .449 .182 .000 .003 .002 .006 .028 .051 .062 .199 .015 .005 .026 .024 .010 .001 .112 .006 .039 .004 .046 .194 .139 .004 .000 .389 .004 .034 .027 .281 .772 .224 .003 .040 .803 .003 .024 .100 .683 1.000 .122 .009 .308 .748 .007 .002 .175 .742 .670 .091 .006 .430 .490 .082 .006 .208 .464 .385 .123 .045 .342 .267 .152 .013 .158 .130 .088 .042 .040 .295 .157 .114 .005 .031 .002 .008 .002 .052 .349 .334 r_peak,r_snr = 9.61833E-02 7.37406 Correlation Surface of oversamples image at 2046 4646 .000 .001 .001 .016 .079 .150 .132 .066 .022 .000 .000 .001 .058 .224 .341 .270 .138 .049 .002 .003 .010 .181 .495 .607 .427 .199 .056 .008 .002 .056 .399 .807 .825 .508 .196 .035 .014 .002 .166 .639 1.000 .879 .479 .151 .018 .007 .035 .319 .777 .974 .757 .387 .112 .017 .000 .116 .432 .725 .751 .547 .285 .089 .028 .016 .198 .433 .539 .487 .360 .201 .076 .047 .038 .221 .350 .342 .275 .201 .116 .054 .058 2046 6.594 4646 .125 7.37406 .027146 .153285 .030404 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .000 .039 .001 .169 .559 .358 .068 .022 .016 .038 .080 .002 .314 .750 .311 .042 .005 .017 .020 .027 .032 .372 .688 .278 .048 .004 .027 .006 .015 .023 .286 .620 .355 .034 .009 .019 .042 .066 .008 .396 1.000 .410 .035 .002 .018 .078 .082 .032 .592 .991 .318 .040 .008 .031 .067 .031 .024 .256 .351 .151 .006 .014 .003 .075 .028 .001 .024 .125 .078 .000 .001 .032 .129 .071 .028 .029 .254 .151 .013 .004 .023 r_peak,r_snr = .1521106 19.20451 Correlation Surface of oversamples image at 146 5046 .012 .091 .265 .542 .714 .595 .372 .236 .135 .007 .074 .248 .543 .762 .674 .428 .236 .101 .005 .078 .278 .628 .887 .765 .441 .195 .062 .008 .107 .360 .762 .997 .790 .405 .152 .042 .021 .164 .461 .853 1.000 .732 .354 .128 .037 .046 .218 .501 .798 .859 .609 .292 .107 .033 .064 .205 .396 .576 .603 .434 .211 .075 .021 .051 .119 .207 .304 .341 .266 .128 .036 .005 .016 .030 .064 .126 .181 .157 .066 .009 .000 146 -.063 5046 2.313 19.20452 .012076 .098895 .011294 Correlation Surface at 246 5046 .054 .006 .093 .210 .048 .020 .149 .039 .017 .036 .001 .002 .002 .033 .051 .076 .045 .020 .026 .013 .046 .017 .158 .166 .158 .167 .055 .048 .103 .004 .153 .547 .448 .090 .044 .036 .039 .093 .008 .315 1.000 .514 .005 .006 .052 .000 .015 .117 .588 .873 .362 .014 .028 .000 .024 .002 .279 .527 .506 .416 .262 .112 .019 .003 .004 .043 .080 .139 .516 .632 .191 .000 .005 .002 .051 .006 .096 .493 .533 .176 .057 r_peak,r_snr = 8.20781E-02 9.55877 Correlation Surface of oversamples image at 246 5046 1.940 1.909 1.375 .904 .686 .512 .230 .006 .076 1.394 1.211 .971 .994 1.225 1.215 .681 .106 .015 .668 .643 .812 1.362 2.054 2.056 1.136 .239 .000 .289 .491 1.067 2.167 3.157 2.866 1.515 .422 .057 246 2.531 5046 8.844 9.55877 .044387 .181151 .038311 Correlation Surface at 346 5046 .129 .036 .005 .004 .219 .079 .012 .022 .406 .043 .005 .001 .002 .219 .041 .117 .006 .363 .002 .017 .001 .015 .307 .013 .176 .031 .330 .015 .055 .004 .216 .642 .006 .109 .130 .262 .043 .026 .048 .631 1.000 .020 .003 .305 .281 .004 .015 .134 .878 .790 .042 .024 .456 .280 .012 .006 .192 .669 .223 .006 .076 .353 .380 .013 .018 .175 .090 .004 .000 .074 .235 .683 .015 .071 .027 .035 .016 .022 .059 .237 .598 r_peak,r_snr = 9.95288E-02 5.83646 Correlation Surface of oversamples image at 346 5046 .003 .000 .002 .075 .289 .421 .315 .091 .000 .001 .000 .013 .164 .435 .510 .313 .058 .009 .000 .000 .046 .310 .637 .645 .338 .044 .017 .000 .005 .124 .512 .867 .790 .375 .044 .012 .000 .024 .228 .676 1.000 .856 .386 .048 .003 .002 .053 .286 .685 .957 .814 .367 .057 .000 .007 .070 .262 .570 .825 .734 .349 .075 .008 .013 .069 .206 .454 .707 .651 .325 .083 .014 .020 .071 .183 .404 .614 .532 .256 .065 .015 346 -11.406 5046 3.594 5.83646 .014211 .124247 .012629 Correlation Surface at 446 5046 .000 .003 .001 .151 .428 .245 .073 .079 .059 .002 .000 .001 .112 .456 .215 .053 .089 .082 .005 .006 .003 .131 .665 .252 .047 .126 .175 .007 .025 .002 .260 .917 .362 .093 .211 .312 .010 .038 .001 .427 1.000 .331 .107 .173 .223 .011 .017 .030 .504 .679 .137 .060 .065 .077 .020 .001 .075 .410 .351 .113 .057 .049 .079 .031 .002 .065 .231 .289 .164 .079 .082 .107 .024 .002 .018 .151 .352 .156 .056 .083 .084 r_peak,r_snr = .1769727 12.558 Correlation Surface of oversamples image at 446 5046 .006 .002 .073 .294 .534 .477 .195 .035 .009 .006 .005 .113 .399 .660 .564 .254 .073 .039 .001 .025 .208 .568 .814 .662 .328 .131 .087 .001 .073 .347 .755 .950 .725 .367 .167 .112 .011 .139 .477 .894 1.000 .682 .321 .146 .094 .026 .187 .549 .926 .899 .514 .209 .090 .054 .038 .204 .552 .831 .674 .312 .110 .046 .027 .049 .209 .503 .650 .439 .177 .064 .029 .020 .065 .209 .417 .458 .281 .123 .059 .034 .029 446 -.156 5046 2.063 12.55801 .009530 .076357 .013021 Correlation Surface at 546 5046 .004 .003 .068 .278 .662 .631 .426 .244 .102 .024 .033 .072 .195 .541 .598 .480 .140 .033 .069 .099 .087 .214 .627 .884 .482 .081 .116 .138 .191 .192 .416 .931 .958 .226 .133 .198 .186 .274 .323 .558 1.000 .584 .179 .255 .121 .147 .323 .342 .604 .742 .450 .210 .213 .116 .126 .318 .312 .440 .537 .399 .132 .192 .263 .158 .231 .146 .223 .443 .248 .082 .268 .395 .152 .113 .052 .166 .347 .140 .048 .151 .151 r_peak,r_snr = .1494871 8.21331 Correlation Surface of oversamples image at 546 5046 .025 .069 .177 .361 .541 .654 .709 .672 .476 .069 .132 .260 .441 .620 .761 .799 .637 .361 .127 .203 .337 .528 .749 .900 .812 .508 .250 .174 .245 .389 .626 .902 .983 .722 .380 .204 .188 .261 .438 .731 1.000 .944 .602 .327 .224 .188 .282 .502 .794 .961 .822 .535 .341 .268 .199 .327 .552 .758 .828 .724 .536 .373 .278 .227 .368 .536 .647 .709 .695 .558 .361 .228 .234 .343 .438 .532 .655 .690 .522 .280 .143 546 .219 5046 -.094 8.21331 .038055 .205073 .058281 Correlation Surface at 646 5046 .030 .064 .163 .370 .630 .281 .017 .063 .492 .065 .129 .435 .527 .531 .321 .100 .045 .107 .000 .042 .314 .436 .535 .540 .078 .017 .024 .035 .002 .126 .520 .963 .818 .011 .139 .142 .024 .006 .066 .488 1.000 .627 .019 .087 .027 .006 .017 .015 .205 .664 .491 .127 .004 .000 .000 .024 .000 .139 .556 .511 .243 .036 .010 .000 .000 .006 .178 .478 .384 .396 .307 .115 .002 .046 .022 .077 .279 .337 .514 .295 .179 r_peak,r_snr = 9.94783E-02 9.97233 Correlation Surface of oversamples image at 646 5046 .359 .194 .125 .138 .224 .338 .318 .144 .030 .276 .151 .108 .160 .319 .462 .383 .159 .022 .242 .178 .185 .334 .584 .655 .444 .157 .009 .284 .298 .399 .675 .905 .772 .440 .135 .002 .354 .453 .648 .951 1.000 .696 .361 .104 .000 .368 .510 .726 .931 .813 .506 .270 .093 .002 .279 .413 .597 .705 .557 .351 .230 .117 .020 .135 .243 .399 .472 .381 .283 .233 .154 .052 .038 .122 .262 .338 .316 .279 .245 .170 .073 646 .281 5046 -.469 9.97233 .047675 .264549 -.011477 Correlation Surface at 746 5046 .003 .014 .017 .138 .418 .441 .069 .003 .000 .002 .005 .001 .038 .244 .346 .010 .006 .060 .052 .003 .004 .013 .354 .491 .012 .026 .040 .024 .004 .013 .080 .919 .701 .041 .013 .002 .017 .000 .015 .325 1.000 .586 .066 .021 .000 .053 .018 .056 .419 .738 .422 .115 .034 .005 .090 .003 .168 .519 .631 .300 .116 .147 .040 .086 .052 .438 .748 .398 .095 .098 .343 .020 .013 .180 .606 .727 .233 .075 .127 .199 .000 r_peak,r_snr = 9.60832E-02 10.32695 Correlation Surface of oversamples image at 746 5046 .164 .003 .155 .740 1.409 1.642 1.489 1.233 .934 .116 .001 .270 1.114 1.967 2.096 1.726 1.231 .768 .074 .021 .519 1.732 2.622 2.478 1.782 1.005 .479 .004 .169 1.110 2.675 3.424 2.964 1.915 .912 .379 746 -1.063 5046 13.844 10.32695 .062163 .504424 .126567 Correlation Surface at 846 5046 .009 .031 .004 .083 .473 .280 .013 .008 .150 .094 .046 .004 .111 .572 .250 .007 .010 .225 .033 .006 .002 .094 .483 .190 .001 .012 .079 .000 .000 .000 .067 .638 .307 .008 .002 .001 .008 .008 .016 .206 1.000 .327 .004 .001 .020 .012 .020 .074 .248 .626 .111 .000 .034 .182 .003 .000 .001 .033 .225 .063 .083 .279 .188 .043 .019 .100 .004 .165 .173 .379 .462 .056 .011 .025 .126 .008 .192 .259 .396 .233 .007 r_peak,r_snr = .1138279 16.7449 Correlation Surface of oversamples image at 846 5046 .001 .016 .135 .396 .553 .378 .099 .003 .000 .007 .000 .085 .366 .548 .344 .073 .001 .001 .028 .002 .093 .470 .688 .423 .108 .008 .000 .025 .000 .174 .689 .907 .556 .173 .025 .001 .002 .017 .291 .850 1.000 .596 .183 .019 .001 .008 .049 .321 .779 .859 .478 .111 .001 .009 .016 .034 .206 .523 .588 .295 .038 .004 .005 .000 .000 .069 .293 .377 .176 .016 .001 .007 .044 .033 .013 .200 .306 .154 .033 .024 .109 846 .344 5046 -3.000 16.74490 .013024 .057404 .009056 Correlation Surface at 946 5046 .087 .077 .000 .107 .263 .134 .046 .014 .002 .047 .038 .001 .144 .330 .190 .150 .084 .001 .034 .027 .007 .291 .586 .460 .200 .044 .003 .078 .013 .029 .438 .945 .595 .112 .006 .037 .077 .001 .044 .438 1.000 .469 .099 .001 .065 .027 .000 .028 .333 .669 .334 .107 .001 .023 .020 .002 .018 .276 .466 .219 .107 .008 .017 .036 .004 .024 .367 .472 .181 .102 .000 .080 .045 .008 .062 .468 .417 .189 .068 .006 .113 r_peak,r_snr = .2013636 12.10407 Correlation Surface of oversamples image at 946 5046 .000 .038 .195 .392 .480 .447 .379 .323 .281 .001 .073 .287 .518 .635 .622 .526 .399 .277 .007 .121 .374 .632 .794 .790 .623 .384 .199 .021 .167 .432 .719 .922 .896 .628 .313 .130 .038 .190 .452 .771 1.000 .906 .561 .256 .097 .045 .183 .439 .776 .975 .818 .496 .238 .092 .041 .164 .411 .707 .823 .691 .459 .238 .096 .033 .147 .368 .582 .658 .585 .413 .222 .094 .027 .131 .309 .480 .556 .500 .348 .187 .088 946 .094 5046 -.344 12.10407 .007612 .053514 .002798 Correlation Surface at 1046 5046 .093 .060 .291 .358 .266 .070 .059 .009 .034 .003 .201 .269 .075 .032 .012 .019 .065 .082 .048 .443 .153 .029 .037 .018 .005 .101 .049 .325 .344 .032 .072 .270 .396 .011 .141 .041 .201 .040 .000 .187 1.000 .783 .001 .190 .215 .033 .000 .022 .209 .783 .182 .041 .232 .531 .025 .027 .084 .044 .152 .016 .073 .199 .252 .089 .016 .050 .106 .193 .047 .002 .000 .024 .054 .000 .183 .532 .307 .145 .139 .146 .164 r_peak,r_snr = 7.60569E-02 7.5263 Correlation Surface of oversamples image at 1046 5046 .210 .186 .201 .226 .232 .202 .074 .009 .177 .207 .235 .266 .296 .345 .313 .096 .012 .195 .157 .249 .325 .437 .609 .531 .147 .008 .190 .111 .267 .410 .649 .925 .699 .164 .007 .198 .099 .296 .474 .782 1.000 .610 .109 .016 .241 .116 .295 .423 .655 .688 .327 .038 .039 .301 .134 .218 .235 .308 .257 .100 .004 .076 .371 .119 .094 .052 .051 .038 .016 .001 .124 .444 .084 .021 .000 .000 .003 .005 .005 .137 .405 1046 -3.000 5046 -2.156 7.52630 .050444 .064543 .015675 Correlation Surface at 1146 5046 .021 .001 .068 .007 .004 .010 .033 .052 .030 .003 .025 .010 .031 .029 .016 .075 .048 .034 .000 .065 .001 .041 .204 .089 .018 .001 .088 .019 .113 .048 .052 .652 .272 .000 .012 .118 .064 .144 .099 .118 1.000 .201 .000 .022 .050 .096 .102 .044 .205 .534 .009 .003 .066 .058 .062 .041 .000 .184 .093 .001 .058 .111 .136 .005 .001 .027 .127 .046 .029 .104 .107 .185 .000 .002 .008 .073 .022 .027 .118 .142 .094 r_peak,r_snr = .1187633 22.95635 Correlation Surface of oversamples image at 1146 5046 .003 .050 .058 .060 .112 .134 .051 .000 .028 .000 .015 .054 .160 .331 .344 .158 .015 .003 .023 .000 .054 .312 .620 .589 .263 .038 .000 .083 .013 .069 .491 .894 .738 .271 .034 .004 .129 .020 .099 .637 1.000 .660 .171 .013 .006 .121 .012 .130 .653 .828 .400 .058 .001 .009 .078 .003 .141 .514 .492 .151 .005 .000 .016 .032 .000 .128 .324 .220 .033 .000 .001 .032 .009 .004 .097 .178 .088 .009 .002 .026 .066 1146 .031 5046 -.063 22.95635 .008857 .043588 .007581 Correlation Surface at 1246 5046 .004 .025 .084 .123 .383 .346 .000 .093 .022 .000 .035 .024 .060 .271 .149 .034 .124 .050 .000 .008 .004 .020 .335 .247 .004 .086 .097 .008 .000 .009 .057 .865 .549 .032 .031 .069 .014 .001 .018 .199 1.000 .587 .109 .001 .058 .034 .000 .029 .166 .526 .545 .154 .017 .050 .061 .000 .012 .038 .437 .505 .144 .011 .005 .006 .000 .001 .042 .538 .282 .047 .004 .021 .000 .009 .002 .099 .547 .140 .009 .014 .017 r_peak,r_snr = .119957 12.12649 Correlation Surface of oversamples image at 1246 5046 .060 .045 .083 .176 .230 .163 .048 .000 .008 .059 .061 .098 .195 .283 .260 .130 .028 .001 .074 .082 .122 .270 .464 .496 .309 .116 .030 .093 .096 .165 .430 .761 .784 .498 .232 .095 .104 .108 .236 .635 1.000 .933 .607 .342 .181 .106 .122 .305 .725 .981 .880 .644 .435 .266 .090 .121 .302 .602 .750 .747 .659 .500 .333 .069 .104 .224 .388 .531 .673 .681 .527 .373 .058 .084 .143 .253 .465 .709 .694 .501 .366 1246 .125 5046 -3.313 12.12649 .015446 .066570 .004911 Correlation Surface at 1346 5046 .085 .072 .651 .364 .203 .033 .012 .381 .529 .000 .209 .469 .319 .209 .001 .039 .225 .121 .004 .056 .052 .051 .253 .113 .040 .002 .029 .317 .061 .003 .111 .784 .428 .015 .266 .230 .608 .140 .037 .509 1.000 .108 .096 .182 .254 .301 .034 .273 .901 .597 .022 .025 .055 .140 .085 .037 .498 .865 .342 .038 .051 .168 .069 .005 .094 .457 .458 .202 .031 .189 .333 .072 .002 .006 .170 .049 .076 .003 .030 .076 .052 r_peak,r_snr = 6.60047E-02 6.4949 Correlation Surface of oversamples image at 1346 5046 .091 .079 .015 .043 .323 .599 .538 .277 .038 .097 .041 .001 .150 .523 .747 .585 .240 .004 .049 .001 .059 .343 .733 .808 .527 .164 .001 .005 .025 .209 .593 .903 .813 .462 .126 .002 .008 .116 .405 .814 1.000 .788 .412 .119 .000 .053 .219 .540 .901 .963 .674 .332 .101 .001 .111 .275 .568 .835 .757 .452 .201 .052 .001 .137 .281 .528 .640 .440 .194 .065 .005 .030 .114 .240 .401 .357 .152 .033 .004 .007 .101 1346 1.406 5046 7.219 6.49490 .086776 .420308 .151905 Correlation Surface at 1546 5046 .015 .003 .015 .060 .099 .274 .300 .235 .550 .000 .003 .024 .081 .164 .257 .190 .510 .795 .004 .008 .069 .159 .284 .253 .192 .732 .667 .001 .016 .161 .217 .690 .446 .340 .511 .365 .007 .037 .164 .384 1.000 .704 .483 .289 .315 .015 .030 .115 .493 .825 .824 .566 .197 .284 .058 .020 .117 .445 .699 .971 .471 .090 .223 .079 .003 .099 .416 .612 .880 .280 .125 .292 r_peak,r_snr = .1131467 4.57959 Correlation Surface of oversamples image at 1546 5046 .493 .753 .831 .756 .689 .665 .592 .431 .243 .497 .695 .721 .708 .748 .753 .618 .408 .221 .468 .592 .621 .700 .839 .849 .634 .365 .187 .441 .516 .580 .749 .948 .912 .600 .304 .166 .424 .465 .563 .794 1.000 .876 .507 .255 .184 .375 .383 .500 .755 .921 .726 .392 .239 .247 .313 .307 .442 .705 .831 .618 .366 .317 .395 1546 1.031 5046 13.656 4.57959 .032665 .124892 -.000340 Correlation Surface at 1646 5046 .018 .025 .018 .026 .202 .076 .000 .029 .220 .006 .013 .001 .015 .246 .138 .005 .056 .075 .003 .009 .002 .016 .479 .234 .020 .014 .011 .003 .047 .000 .031 .898 .330 .000 .000 .062 .001 .001 .021 .086 1.000 .382 .042 .010 .211 .023 .063 .118 .120 .666 .394 .036 .063 .251 .046 .206 .106 .107 .311 .198 .001 .052 .226 .036 .231 .057 .026 .085 .080 .021 .001 .138 .037 .246 .115 .002 .063 .127 .117 .016 .075 r_peak,r_snr = .1179186 12.21081 Correlation Surface of oversamples image at 1646 5046 .000 .001 .014 .156 .425 .460 .174 .007 .012 .000 .000 .017 .187 .542 .589 .239 .022 .001 .000 .000 .025 .276 .743 .756 .322 .056 .008 .001 .001 .048 .419 .936 .872 .397 .116 .046 .011 .002 .082 .536 1.000 .874 .449 .198 .097 .041 .002 .121 .588 .943 .808 .489 .277 .125 .080 .000 .163 .575 .811 .713 .502 .310 .121 .092 .002 .188 .482 .623 .570 .432 .265 .094 .065 .014 .175 .338 .417 .393 .302 .183 .069 1646 .156 5046 .844 12.21081 .009265 .138857 .004443 Correlation Surface at 1746 5046 .000 .004 .004 .187 .268 .406 .284 .171 .076 .013 .002 .100 .247 .373 .344 .195 .117 .035 .022 .006 .133 .328 .655 .323 .170 .081 .029 .025 .000 .111 .543 .999 .420 .216 .086 .063 .035 .001 .142 .669 1.000 .594 .284 .079 .068 .030 .002 .105 .345 .737 .446 .248 .073 .059 .035 .009 .009 .151 .394 .181 .130 .118 .068 .047 .017 .004 .158 .206 .102 .080 .142 .049 .021 .001 .027 .120 .171 .101 .106 .108 .044 r_peak,r_snr = .1769941 10.6588 Correlation Surface of oversamples image at 1746 5046 .150 .219 .268 .373 .508 .516 .411 .331 .278 .131 .202 .312 .511 .670 .585 .395 .287 .243 .109 .216 .418 .710 .842 .648 .391 .279 .241 .110 .277 .574 .900 .966 .706 .432 .322 .271 .134 .364 .692 .971 1.000 .770 .525 .405 .314 .165 .410 .676 .889 .965 .841 .633 .482 .345 .171 .364 .542 .742 .914 .882 .681 .507 .356 .135 .257 .391 .615 .845 .820 .614 .460 .339 .082 .161 .291 .527 .724 .641 .458 .362 .289 1746 -.219 5046 -.625 10.65881 .023822 .157770 -.021043 Correlation Surface at 1846 5046 .014 .025 .122 .211 .304 .378 .305 .098 .076 .011 .016 .085 .241 .552 .605 .165 .009 .001 .010 .010 .088 .198 .629 .640 .149 .001 .040 .019 .002 .046 .143 .774 .772 .157 .005 .041 .075 .009 .008 .211 1.000 .656 .040 .022 .000 .090 .021 .002 .292 .899 .319 .001 .003 .022 .079 .070 .003 .258 .645 .201 .014 .005 .032 .112 .182 .046 .155 .497 .231 .062 .005 .023 .101 .164 .077 .073 .344 .204 .051 .000 .006 r_peak,r_snr = .1416497 8.16889 Correlation Surface of oversamples image at 1846 5046 .092 .082 .134 .302 .605 .827 .635 .254 .049 .104 .085 .131 .333 .715 .931 .662 .264 .057 .089 .069 .133 .404 .848 .999 .657 .248 .042 .057 .056 .165 .519 .963 1.000 .591 .183 .009 .030 .056 .226 .633 1.000 .903 .457 .091 .004 .014 .068 .292 .686 .925 .719 .291 .024 .044 .006 .077 .315 .644 .757 .504 .156 .001 .092 .000 .061 .272 .531 .575 .337 .082 .002 .106 .011 .021 .183 .403 .434 .246 .056 .003 .086 1846 .281 5046 -.438 8.16889 .020342 .216706 .041901 Correlation Surface at 1946 5046 .399 .078 .013 .066 .151 .213 .219 .109 .032 .234 .001 .004 .147 .478 .530 .198 .097 .131 .040 .004 .072 .252 .881 .701 .180 .107 .093 .005 .033 .021 .142 .851 .671 .169 .088 .005 .020 .003 .010 .186 1.000 .548 .172 .162 .028 .020 .001 .036 .475 .868 .308 .320 .363 .088 .001 .169 .251 .225 .378 .353 .401 .340 .019 .042 .365 .060 .021 .337 .419 .375 .266 .008 .104 .090 .002 .033 .304 .285 .390 .181 .000 r_peak,r_snr = 9.22219E-02 10.02679 Correlation Surface of oversamples image at 1946 5046 .129 .173 .285 .561 .860 .854 .548 .276 .136 .092 .115 .267 .613 .936 .904 .574 .254 .095 .016 .042 .220 .614 .919 .857 .517 .192 .077 .001 .019 .235 .675 .943 .817 .437 .151 .112 .001 .045 .346 .806 1.000 .768 .371 .167 .233 .016 .138 .470 .857 .932 .659 .349 .265 .447 .105 .221 .437 .657 .669 .506 .388 .453 .686 .183 .178 .238 .336 .389 .421 .523 .694 .845 .134 .052 .050 .110 .231 .447 .716 .842 .839 1946 -.063 5046 2.156 10.02679 .056717 .876598 .173087 Correlation Surface at 2046 5046 .327 .171 .132 .156 .172 .025 .073 .073 .011 .144 .098 .142 .109 .174 .081 .006 .064 .051 .037 .045 .182 .226 .283 .215 .000 .174 .008 .000 .018 .423 .566 .699 .292 .024 .057 .016 .008 .082 .640 .817 1.000 .226 .043 .001 .004 .100 .268 .541 .671 .546 .034 .079 .000 .002 .200 .428 .361 .187 .086 .013 .050 .000 .015 .138 .321 .076 .004 .026 .026 .000 .011 .161 .074 .175 .000 .011 .030 .002 .033 .070 .708 r_peak,r_snr = 9.13754E-02 7.56238 Correlation Surface of oversamples image at 2046 5046 .224 .489 .710 .771 .608 .415 .303 .201 .056 .264 .617 .860 .851 .687 .527 .373 .196 .029 .320 .695 .877 .878 .817 .675 .430 .186 .016 .376 .697 .817 .916 .963 .766 .441 .166 .008 .416 .660 .778 .966 1.000 .718 .376 .112 .001 .443 .638 .775 .941 .854 .541 .246 .044 .004 .457 .606 .702 .742 .571 .315 .111 .005 .023 .427 .484 .489 .440 .298 .146 .032 .003 .037 .319 .272 .227 .192 .135 .060 .003 .016 .023 2046 3.313 5046 10.469 7.56238 .044415 .086920 .022962 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .105 .174 .076 .052 .634 .382 .081 .046 .041 .121 .229 .166 .008 .466 .140 .009 .000 .004 .072 .159 .079 .061 .561 .089 .010 .024 .002 .053 .070 .016 .193 .786 .221 .000 .041 .026 .038 .029 .007 .375 1.000 .366 .034 .017 .088 .005 .097 .001 .394 .938 .501 .111 .015 .047 .008 .288 .036 .259 .836 .642 .047 .102 .001 .043 .258 .054 .248 .943 .514 .000 .051 .035 .051 .146 .034 .312 .835 .319 .010 .003 .016 r_peak,r_snr = 9.00146E-02 9.32097 Correlation Surface of oversamples image at 146 5446 .025 .000 .086 .311 .426 .290 .093 .004 .013 .004 .018 .164 .427 .575 .450 .214 .049 .001 .001 .057 .243 .553 .749 .629 .362 .138 .029 .009 .095 .330 .705 .917 .771 .483 .232 .082 .004 .108 .418 .842 1.000 .812 .529 .290 .130 .002 .090 .458 .870 .943 .744 .504 .300 .138 .031 .055 .415 .776 .816 .654 .456 .262 .091 .073 .024 .322 .649 .721 .608 .412 .192 .029 .108 .005 .236 .560 .690 .600 .373 .123 .001 146 -.094 5446 -.406 9.32097 .026875 .629594 -.011825 Correlation Surface at 246 5446 .000 .014 .006 .082 .042 .001 .007 .092 .050 .048 .107 .062 .170 .225 .334 .172 .064 .036 .040 .135 .173 .199 .594 .686 .178 .035 .013 .026 .110 .064 .167 .980 .553 .117 .038 .011 .024 .034 .001 .332 1.000 .268 .066 .068 .028 .000 .024 .001 .524 .606 .101 .013 .071 .048 .054 .037 .011 .414 .277 .018 .002 .013 .026 .020 .005 .036 .116 .025 .013 .026 .019 .002 .001 .064 .015 .002 .025 .062 .064 .105 .002 r_peak,r_snr = .104423 16.88309 Correlation Surface of oversamples image at 246 5446 .031 .039 .069 .162 .371 .625 .668 .428 .176 .039 .039 .084 .257 .581 .815 .676 .333 .118 .023 .025 .102 .393 .805 .900 .555 .203 .071 .004 .014 .141 .560 .972 .853 .388 .108 .051 .001 .010 .202 .697 1.000 .694 .235 .056 .046 .011 .014 .262 .738 .873 .486 .126 .029 .041 .012 .027 .301 .675 .659 .295 .057 .010 .022 .003 .050 .305 .547 .443 .156 .016 .000 .003 .001 .066 .259 .388 .261 .065 .000 .006 .002 246 .063 5446 .750 16.88309 .031068 .269730 .065516 Correlation Surface at 446 5446 .001 .000 .002 .125 .446 .138 .026 .089 .010 .022 .010 .001 .108 .567 .184 .000 .006 .005 .031 .011 .007 .172 .710 .337 .039 .004 .025 .076 .024 .004 .249 .780 .424 .004 .046 .042 .080 .013 .022 .280 1.000 .406 .005 .048 .025 .002 .005 .014 .338 .871 .247 .003 .005 .003 .015 .012 .015 .241 .434 .189 .023 .000 .001 .013 .001 .018 .122 .333 .259 .011 .000 .000 .006 .001 .016 .086 .379 .225 .003 .008 .031 r_peak,r_snr = .1683081 17.46089 Correlation Surface of oversamples image at 446 5446 .013 .001 .151 .520 .737 .620 .358 .153 .043 .007 .008 .180 .543 .786 .707 .411 .144 .018 .000 .029 .211 .558 .834 .767 .399 .089 .000 .009 .061 .249 .603 .919 .818 .358 .045 .008 .025 .094 .297 .679 1.000 .821 .304 .023 .013 .036 .124 .350 .726 .983 .732 .240 .016 .005 .043 .145 .361 .664 .814 .551 .169 .017 .000 .048 .139 .299 .496 .563 .359 .115 .020 .003 .048 .107 .204 .322 .366 .248 .099 .029 .006 446 .094 5446 .125 17.46090 .007914 .106962 .008978 Correlation Surface at 646 5446 .059 .035 .035 .145 .114 .027 .012 .004 .009 .035 .043 .037 .126 .237 .090 .000 .019 .067 .028 .032 .035 .170 .398 .142 .028 .115 .120 .009 .003 .071 .305 .645 .300 .097 .119 .027 .000 .000 .134 .393 1.000 .495 .123 .046 .003 .015 .004 .106 .386 .942 .379 .106 .021 .020 .003 .015 .117 .377 .482 .204 .109 .027 .021 .031 .074 .223 .232 .209 .233 .157 .019 .002 .129 .137 .192 .056 .216 .369 .150 .020 .003 r_peak,r_snr = .1461796 8.33479 Correlation Surface of oversamples image at 646 5446 .030 .036 .131 .355 .569 .518 .243 .064 .029 .029 .050 .176 .451 .697 .610 .295 .110 .077 .050 .087 .235 .543 .820 .712 .365 .171 .123 .093 .136 .288 .624 .936 .805 .436 .230 .152 .140 .170 .318 .682 1.000 .833 .464 .258 .163 .156 .174 .331 .701 .952 .741 .417 .242 .164 .137 .166 .344 .668 .794 .565 .320 .201 .161 .120 .176 .363 .592 .596 .396 .236 .172 .169 .131 .211 .367 .473 .416 .283 .201 .175 .186 646 .094 5446 1.031 8.33479 .013553 .094014 .000023 Correlation Surface at 746 5446 .011 .001 .004 .003 .180 .150 .020 .000 .024 .039 .000 .001 .022 .282 .196 .005 .011 .023 .032 .000 .000 .036 .399 .226 .000 .029 .076 .030 .000 .001 .075 .691 .244 .004 .066 .114 .023 .000 .002 .194 1.000 .275 .003 .092 .051 .006 .002 .004 .231 .829 .222 .008 .068 .013 .001 .004 .010 .154 .568 .186 .010 .056 .016 .001 .001 .001 .120 .537 .156 .016 .062 .013 .004 .008 .016 .095 .387 .042 .036 .048 .000 r_peak,r_snr = .1931376 29.5864 Correlation Surface of oversamples image at 746 5446 .020 .009 .007 .123 .333 .413 .250 .041 .005 .007 .000 .034 .223 .487 .528 .250 .018 .021 .001 .005 .094 .381 .693 .636 .235 .007 .032 .000 .025 .191 .576 .892 .703 .219 .005 .029 .004 .059 .292 .728 1.000 .714 .214 .008 .017 .010 .085 .337 .759 .977 .669 .216 .017 .008 .011 .083 .308 .673 .844 .585 .214 .025 .004 .008 .061 .238 .531 .676 .500 .208 .031 .002 .003 .036 .170 .409 .554 .447 .202 .033 .001 746 .000 5446 .156 29.58640 .004128 .040812 .002700 Correlation Surface at 846 5446 .000 .144 .107 .029 .207 .029 .070 .003 .107 .059 .012 .032 .005 .025 .007 .089 .000 .005 .131 .001 .018 .003 .044 .003 .011 .004 .000 .081 .000 .000 .099 .470 .197 .051 .008 .000 .026 .029 .037 .221 1.000 .413 .063 .001 .039 .000 .023 .005 .025 .693 .263 .015 .082 .125 .013 .019 .307 .001 .438 .158 .052 .052 .004 .070 .307 .315 .049 .419 .188 .008 .060 .000 .143 .374 .042 .134 .229 .077 .079 .072 .011 r_peak,r_snr = .1037106 13.35272 Correlation Surface of oversamples image at 846 5446 .018 .000 .009 .023 .018 .000 .015 .022 .007 .010 .001 .039 .102 .127 .068 .019 .013 .013 .000 .031 .170 .380 .465 .321 .184 .135 .064 .014 .103 .389 .786 .872 .608 .376 .223 .059 .020 .123 .498 .971 1.000 .662 .360 .150 .017 .001 .064 .416 .860 .844 .488 .201 .055 .007 .030 .009 .270 .645 .592 .276 .081 .026 .035 .144 .001 .184 .480 .397 .153 .045 .043 .116 .212 .000 .201 .432 .322 .134 .070 .096 .150 846 .281 5446 -.031 13.35273 .016689 .048792 -.004449 Correlation Surface at 946 5446 .033 .006 .009 .002 .105 .216 .039 .010 .053 .005 .005 .002 .020 .194 .372 .081 .036 .038 .030 .030 .001 .031 .540 .674 .040 .041 .009 .034 .023 .065 .012 .928 .690 .003 .002 .167 .003 .031 .147 .015 1.000 .347 .000 .048 .269 .001 .010 .062 .099 .767 .119 .003 .073 .137 .001 .003 .030 .179 .371 .023 .001 .031 .015 .013 .012 .036 .148 .112 .004 .000 .021 .026 .015 .023 .016 .124 .102 .023 .004 .115 .056 r_peak,r_snr = .12118 17.14608 Correlation Surface of oversamples image at 946 5446 .069 .046 .003 .054 .293 .475 .351 .104 .001 .103 .052 .000 .136 .521 .712 .407 .062 .008 .185 .094 .000 .213 .760 .883 .354 .013 .038 .297 .157 .000 .283 .947 .903 .234 .000 .052 .360 .195 .000 .340 1.000 .760 .124 .007 .039 .323 .181 .000 .370 .920 .571 .069 .008 .025 .228 .134 .003 .386 .810 .459 .058 .004 .019 .156 .089 .012 .399 .737 .421 .064 .001 .016 .140 .062 .029 .415 .685 .386 .059 .001 .011 946 .188 5446 -.813 17.14608 .014580 .370664 .054601 Correlation Surface at 1046 5446 .002 .001 .003 .019 .012 .057 .015 .001 .046 .061 .006 .021 .037 .000 .049 .174 .181 .030 .113 .076 .009 .003 .192 .611 .271 .007 .006 .003 .001 .292 1.000 .518 .085 .015 .013 .005 .262 .575 .313 .068 .013 .059 .037 .164 .185 .009 .010 .009 .043 .079 .053 .000 .185 .019 .056 .018 .054 .000 .159 .154 .013 .039 .010 r_peak,r_snr = 7.94864E-02 10.41211 Correlation Surface of oversamples image at 1046 5446 .005 .007 .074 .158 .172 .106 .022 .004 .082 .000 .034 .156 .298 .381 .296 .099 .001 .050 .000 .062 .238 .478 .680 .574 .257 .049 .003 .003 .087 .315 .655 .939 .809 .454 .166 .013 .006 .108 .365 .732 1.000 .882 .564 .246 .031 .007 .110 .344 .646 .844 .759 .491 .187 .010 .008 .090 .268 .474 .593 .504 .268 .055 .005 .009 .069 .185 .309 .347 .225 .056 .001 .064 .017 .057 .117 .167 .137 .033 .008 .084 .133 1046 -12.906 5446 -1.125 10.41211 .037559 .089617 .001644 Correlation Surface at 1146 5446 .020 .002 .005 .000 .001 .011 .115 .228 .059 .060 .013 .004 .010 .036 .021 .082 .108 .026 .050 .034 .046 .177 .313 .049 .000 .007 .006 .007 .030 .125 .466 .844 .086 .010 .000 .039 .000 .015 .111 .484 1.000 .081 .001 .003 .017 .005 .039 .042 .296 .442 .000 .005 .001 .001 .050 .057 .003 .120 .084 .012 .001 .007 .039 .102 .045 .001 .042 .029 .022 .060 .016 .048 .067 .028 .000 .004 .037 .127 .062 .002 .015 r_peak,r_snr = .1337167 20.29844 Correlation Surface of oversamples image at 1146 5446 .063 .114 .188 .261 .234 .131 .070 .063 .067 .089 .191 .343 .483 .441 .223 .049 .001 .001 .101 .247 .474 .714 .681 .310 .027 .018 .043 .087 .233 .511 .878 .887 .391 .024 .031 .048 .051 .158 .451 .926 1.000 .459 .039 .015 .022 .018 .077 .343 .843 .957 .449 .042 .009 .014 .003 .028 .235 .670 .762 .323 .013 .029 .026 .000 .008 .155 .476 .503 .150 .003 .083 .050 .003 .002 .099 .300 .264 .036 .036 .115 .047 1146 -.188 5446 -.406 20.29845 .008098 .037356 .001743 Correlation Surface at 1246 5446 .029 .022 .006 .132 .298 .095 .024 .124 .074 .057 .008 .001 .044 .258 .022 .001 .024 .075 .050 .013 .009 .016 .229 .018 .002 .063 .266 .040 .037 .056 .035 .476 .258 .120 .228 .371 .051 .122 .084 .101 1.000 .599 .243 .350 .323 .059 .153 .030 .100 .803 .379 .219 .456 .289 .083 .106 .016 .020 .227 .108 .236 .488 .228 .124 .039 .000 .009 .083 .151 .284 .316 .145 .074 .000 .004 .013 .144 .270 .178 .089 .075 r_peak,r_snr = .1253722 15.06704 Correlation Surface of oversamples image at 1246 5446 .032 .002 .089 .168 .101 .034 .023 .026 .039 .066 .002 .147 .316 .283 .194 .151 .115 .120 .072 .015 .282 .591 .620 .485 .339 .220 .207 .038 .057 .444 .868 .948 .728 .453 .269 .269 .009 .092 .484 .919 1.000 .719 .400 .243 .310 .003 .062 .332 .654 .693 .449 .237 .185 .325 .010 .010 .122 .286 .288 .166 .103 .135 .317 .024 .003 .015 .067 .066 .041 .052 .118 .309 .028 .018 .000 .007 .012 .019 .053 .129 .306 1246 .344 5446 .344 15.06704 .010945 .042949 .000360 Correlation Surface at 1346 5446 .034 .009 .055 .008 .030 .077 .081 .003 .017 .040 .040 .056 .002 .115 .365 .198 .027 .056 .183 .145 .056 .019 .417 .622 .179 .057 .114 .178 .130 .036 .118 .809 .689 .164 .098 .076 .041 .039 .004 .216 1.000 .679 .130 .072 .055 .031 .005 .061 .173 .818 .430 .046 .040 .057 .077 .005 .084 .066 .476 .169 .054 .048 .079 .009 .069 .103 .027 .233 .104 .094 .074 .149 .013 .053 .044 .063 .159 .138 .101 .115 .284 r_peak,r_snr = .1086334 10.78565 Correlation Surface of oversamples image at 1346 5446 .003 .027 .249 .606 .728 .567 .314 .147 .087 .005 .065 .383 .749 .782 .551 .310 .176 .126 .002 .108 .518 .881 .853 .596 .363 .227 .163 .001 .148 .611 .966 .939 .681 .410 .236 .145 .000 .165 .614 .974 1.000 .709 .365 .167 .077 .000 .143 .528 .906 .943 .587 .235 .080 .025 .000 .092 .402 .750 .722 .367 .118 .035 .011 .005 .038 .270 .526 .424 .175 .060 .030 .020 .022 .009 .170 .308 .189 .072 .046 .052 .056 1346 .281 5446 -.469 10.78566 .024654 .248417 .026801 Correlation Surface at 1446 5446 .068 .033 .001 .244 .186 .037 .001 .051 .012 .093 .013 .032 .189 .173 .065 .026 .016 .008 .019 .006 .012 .141 .262 .129 .080 .009 .054 .002 .003 .029 .270 .649 .241 .017 .028 .054 .000 .028 .181 .513 1.000 .156 .000 .072 .012 .001 .061 .194 .484 .652 .192 .004 .075 .076 .014 .052 .194 .284 .492 .223 .002 .001 .073 .034 .052 .048 .081 .183 .009 .002 .004 .129 .034 .015 .102 .009 .003 .010 .001 .041 .260 r_peak,r_snr = 7.99966E-02 9.04629 Correlation Surface of oversamples image at 1446 5446 .001 .011 .159 .505 .661 .445 .185 .108 .192 .000 .012 .201 .600 .742 .484 .237 .196 .283 .009 .064 .329 .724 .842 .622 .394 .318 .282 .084 .197 .461 .790 .950 .835 .587 .368 .195 .226 .322 .487 .755 1.000 .974 .665 .334 .134 .300 .323 .392 .622 .893 .891 .609 .327 .162 .231 .213 .241 .410 .606 .643 .532 .389 .252 .131 .107 .113 .197 .316 .437 .501 .447 .278 .067 .042 .032 .059 .145 .321 .447 .364 .169 1446 -.281 5446 -7.969 9.04629 .027675 .124775 .011052 Correlation Surface at 1546 5446 .013 .004 .023 .118 .021 .045 .045 .023 .075 .001 .003 .029 .091 .027 .164 .141 .000 .009 .007 .003 .010 .001 .039 .279 .262 .076 .016 .019 .010 .015 .000 .282 .593 .478 .210 .000 .067 .047 .028 .114 1.000 .830 .575 .164 .066 .071 .022 .000 .413 .671 .241 .240 .027 .045 .003 .006 .141 .235 .005 .018 .005 .002 .002 .043 .072 .210 .000 .103 .171 .147 .001 .006 .021 .038 .060 .000 .019 .058 .025 .002 .108 r_peak,r_snr = 8.78554E-02 10.26781 Correlation Surface of oversamples image at 1546 5446 .002 .001 .002 .017 .147 .308 .356 .337 .269 .005 .011 .000 .100 .359 .499 .454 .407 .375 .035 .011 .031 .317 .678 .712 .542 .458 .464 .056 .000 .156 .639 .967 .817 .539 .444 .487 .029 .030 .374 .879 1.000 .692 .404 .344 .399 .000 .135 .533 .810 .687 .371 .182 .166 .198 .029 .255 .493 .478 .271 .083 .021 .019 .023 .108 .285 .288 .143 .026 .002 .022 .027 .030 .142 .181 .072 .002 .025 .094 .150 .183 .177 1546 .938 5446 7.344 10.26782 .040691 .051772 .025277 Correlation Surface at 1646 5446 .036 .003 .036 .318 .376 .228 .037 .041 .004 .068 .005 .190 .718 .640 .119 .001 .000 .045 .059 .123 .373 .916 .761 .105 .000 .001 .005 .029 .115 .312 .944 .949 .299 .071 .021 .001 .083 .002 .177 .850 1.000 .506 .222 .023 .007 .198 .016 .114 .676 .845 .397 .042 .032 .095 .128 .003 .149 .512 .685 .125 .004 .108 .122 .010 .039 .228 .313 .297 .040 .030 .006 .012 .006 .136 .209 .076 .032 .161 .240 .042 .019 r_peak,r_snr = .1082198 8.04602 Correlation Surface of oversamples image at 1646 5446 .133 .338 .653 .922 .870 .595 .296 .065 .001 .191 .393 .665 .858 .815 .593 .290 .060 .004 .167 .336 .581 .783 .835 .687 .366 .109 .035 .092 .239 .485 .748 .920 .832 .489 .210 .127 .031 .161 .415 .741 1.000 .940 .590 .328 .265 .005 .108 .358 .712 .996 .944 .619 .414 .365 .000 .071 .303 .639 .895 .843 .588 .426 .332 .003 .047 .251 .539 .743 .710 .539 .357 .188 .003 .044 .223 .453 .623 .647 .506 .245 .064 1646 -.313 5446 -1.219 8.04602 .107698 .930759 -.183854 Correlation Surface at 1846 5446 .051 .049 .019 .009 .030 .002 .007 .235 .052 .063 .003 .041 .147 .011 .405 .000 .106 .124 .202 .354 .028 .057 .195 .388 .572 .105 .271 .022 .078 .380 1.000 .354 .103 .417 .055 .008 .215 .711 .132 .364 .523 .245 .035 .123 .110 .211 .433 .371 .376 .043 .035 .030 .380 .427 .549 .170 .039 .022 .083 .221 .301 .351 .009 r_peak,r_snr = 7.63462E-02 7.48842 Correlation Surface of oversamples image at 1846 5446 .047 .029 .176 .198 .175 .177 .152 .090 .086 .000 .116 .256 .310 .385 .418 .269 .100 .071 .064 .267 .372 .513 .712 .657 .293 .073 .054 .267 .422 .506 .772 .990 .697 .227 .059 .071 .404 .457 .592 .939 1.000 .546 .164 .082 .141 .307 .363 .591 .882 .768 .375 .157 .150 .241 .136 .257 .500 .627 .471 .276 .203 .231 .295 .055 .192 .332 .306 .240 .246 .274 .266 .261 .056 .156 .150 .086 .121 .258 .320 .235 .189 1846 -12.656 5446 -9.125 7.48842 .039126 .078389 .016088 Correlation Surface at 1946 5446 .074 .043 .018 .138 .025 .015 .046 .095 .005 .067 .003 .008 .001 .133 .097 .284 .166 .135 .337 .146 .089 .533 .494 .435 .354 .070 .115 .336 .004 .589 .796 .766 .878 .139 .004 .024 .010 .064 .240 .302 1.000 .582 .000 .023 .025 .008 .002 .007 .157 .700 .166 .001 .029 .044 .014 .117 .072 .075 .199 .133 .147 .160 .051 .040 .089 .015 .038 .122 .230 .228 .200 .183 .011 .033 .001 .103 .162 .115 .012 .122 .122 r_peak,r_snr = 9.03814E-02 10.77608 Correlation Surface of oversamples image at 1946 5446 .018 .077 .189 .224 .171 .147 .191 .229 .173 .166 .295 .403 .403 .369 .373 .367 .260 .116 .418 .520 .573 .614 .663 .659 .482 .214 .048 .549 .543 .606 .782 .922 .817 .446 .115 .006 .413 .363 .521 .840 1.000 .753 .295 .031 .002 .152 .159 .399 .780 .880 .550 .140 .000 .017 .012 .054 .316 .674 .693 .357 .052 .005 .014 .006 .027 .281 .571 .531 .233 .025 .001 .000 .016 .029 .255 .475 .408 .171 .032 .013 .047 1946 -8.531 5446 -6.563 10.77609 .033393 .165679 .002768 Correlation Surface at 2046 5446 .010 .081 .010 .074 .554 .562 .139 .000 .006 .111 .152 .003 .560 1.000 .269 .003 .026 .063 .029 .034 .021 .500 .465 .016 .091 .213 .110 .022 .004 .043 .067 .104 .083 .324 .179 .011 .015 .034 .007 .000 .080 .222 .076 .011 .011 .001 .022 .007 .007 .134 .046 .019 .004 .013 r_peak,r_snr = 8.47697E-02 12.36784 Correlation Surface of oversamples image at 2046 5446 .022 .053 .033 .008 .014 .054 .108 .173 .205 .001 .005 .007 .021 .099 .212 .290 .325 .241 .036 .002 .009 .117 .366 .546 .574 .433 .173 .067 .003 .054 .371 .771 .906 .763 .388 .077 .060 .000 .175 .664 1.000 .960 .648 .222 .026 .031 .018 .316 .749 .838 .664 .363 .097 .020 .005 .061 .358 .545 .457 .319 .168 .065 .053 .002 .096 .258 .247 .166 .134 .116 .108 .135 .020 .098 .121 .072 .058 .100 .174 .222 .224 2046 -1.281 5446 -14.063 12.36785 .054909 .081443 .044079 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .032 .019 .000 .092 .508 .331 .025 .003 .006 .015 .004 .001 .080 .350 .254 .062 .024 .008 .003 .006 .002 .092 .402 .466 .139 .019 .009 .005 .005 .003 .132 .722 .786 .185 .021 .010 .001 .003 .001 .224 1.000 .846 .194 .028 .004 .000 .007 .010 .320 .885 .558 .100 .006 .000 .005 .011 .032 .280 .556 .316 .072 .002 .000 .041 .015 .033 .152 .375 .425 .155 .017 .023 .057 .008 .007 .063 .430 .545 .181 .045 .041 r_peak,r_snr = .1837294 14.97502 Correlation Surface of oversamples image at 146 5846 .010 .052 .147 .296 .447 .478 .363 .194 .074 .013 .070 .205 .425 .632 .650 .458 .214 .067 .016 .098 .296 .596 .831 .801 .528 .233 .072 .023 .140 .404 .757 .974 .878 .554 .245 .085 .041 .198 .500 .845 1.000 .843 .507 .224 .084 .078 .261 .549 .826 .900 .703 .394 .164 .056 .126 .302 .534 .728 .733 .529 .272 .099 .023 .157 .299 .469 .596 .572 .400 .201 .063 .007 .149 .253 .378 .475 .469 .354 .195 .061 .004 146 .531 5846 -2.188 14.97502 .012370 .073841 .013231 Correlation Surface at 246 5846 .348 .562 .057 .000 .039 .016 .044 .284 .521 .361 .240 .120 .123 .099 .039 .019 .172 .373 .085 .088 .258 .100 .088 .085 .069 .126 .338 .012 .173 .180 .079 .432 .402 .127 .074 .306 .004 .208 .029 .199 1.000 .718 .186 .093 .202 .023 .124 .007 .221 .775 .529 .173 .119 .206 .067 .137 .086 .217 .297 .183 .019 .040 .300 .123 .271 .159 .054 .059 .018 .011 .022 .309 .211 .121 .031 .026 .000 .000 .006 .087 .342 r_peak,r_snr = .1058531 6.80145 Correlation Surface of oversamples image at 246 5846 3.585 4.000 2.828 1.097 .155 .000 3.569 3.241 2.005 .824 .292 .166 2.433 1.795 1.099 .742 .708 .700 1.226 .701 .566 .851 1.246 1.058 .510 .236 .412 1.099 1.512 .863 246 -8.750 5846 -5.813 6.80145 .023392 .049823 .002562 Correlation Surface at 346 5846 .120 .034 .033 .063 .057 .131 .192 .121 .114 .009 .001 .024 .000 .001 .079 .189 .288 .173 .005 .003 .000 .001 .051 .288 .332 .253 .070 .004 .002 .000 .182 .709 .490 .198 .093 .004 .020 .008 .065 .978 1.000 .092 .023 .006 .024 .009 .001 .279 .692 .134 .001 .007 .010 .083 .013 .091 .362 .069 .013 .000 .039 .042 .015 r_peak,r_snr = 8.54402E-02 13.08212 Correlation Surface of oversamples image at 346 5846 .004 .003 .026 .035 .014 .001 .057 .184 .289 .002 .033 .033 .004 .012 .092 .209 .276 .273 .027 .051 .004 .042 .222 .399 .396 .258 .149 .060 .026 .023 .287 .675 .730 .405 .112 .022 .052 .000 .149 .628 1.000 .722 .199 .004 .010 .011 .028 .287 .752 .858 .380 .021 .035 .065 .003 .083 .308 .551 .410 .068 .019 .098 .080 .043 .123 .235 .252 .080 .004 .090 .100 .061 .109 .156 .172 .090 .002 .045 .094 .061 .038 346 6.500 5846 12.094 13.08212 .051708 .043089 .029058 Correlation Surface at 446 5846 .064 .025 .000 .099 .325 .156 .007 .000 .002 .046 .037 .003 .241 .441 .162 .003 .000 .001 .035 .021 .025 .316 .578 .269 .010 .002 .002 .035 .012 .025 .316 .849 .433 .012 .001 .001 .027 .010 .011 .347 1.000 .371 .012 .004 .003 .007 .021 .002 .287 .683 .213 .004 .001 .002 .009 .047 .001 .135 .357 .133 .000 .000 .000 .045 .076 .017 .048 .280 .173 .020 .014 .000 .082 .097 .024 .074 .413 .311 .093 .015 .006 r_peak,r_snr = .1924847 17.58223 Correlation Surface of oversamples image at 446 5846 .032 .203 .444 .617 .653 .528 .320 .135 .024 .030 .174 .385 .589 .718 .665 .437 .176 .026 .021 .133 .333 .603 .839 .825 .529 .195 .030 .013 .099 .309 .656 .965 .927 .559 .203 .041 .005 .072 .296 .689 1.000 .914 .534 .203 .053 .000 .049 .270 .646 .906 .806 .471 .180 .047 .003 .031 .224 .533 .727 .644 .370 .123 .022 .010 .017 .166 .394 .537 .479 .257 .062 .003 .017 .008 .112 .281 .398 .362 .181 .032 .000 446 .156 5846 .844 17.58224 .006070 .042710 .002823 Correlation Surface at 546 5846 .000 .017 .085 .053 .439 .163 .020 .010 .024 .002 .022 .043 .106 .398 .176 .000 .008 .040 .006 .005 .024 .033 .419 .192 .065 .065 .077 .028 .008 .060 .025 .854 .151 .147 .062 .027 .099 .054 .105 .074 1.000 .071 .121 .005 .014 .113 .045 .098 .063 .589 .032 .048 .001 .015 .018 .004 .072 .024 .300 .032 .010 .002 .000 .014 .000 .037 .013 .148 .057 .005 .013 .014 .020 .001 .014 .003 .060 .052 .000 .011 .024 r_peak,r_snr = .1443264 25.67289 Correlation Surface of oversamples image at 546 5846 .012 .003 .089 .300 .501 .457 .184 .010 .018 .017 .001 .036 .253 .573 .563 .198 .002 .044 .037 .017 .017 .294 .743 .669 .172 .002 .077 .072 .034 .024 .423 .940 .692 .118 .013 .095 .097 .033 .053 .559 1.000 .592 .063 .026 .089 .098 .021 .083 .577 .860 .425 .029 .029 .068 .089 .015 .079 .464 .632 .287 .017 .022 .047 .086 .018 .050 .321 .446 .217 .019 .013 .031 .095 .026 .025 .220 .341 .194 .026 .005 .020 546 .031 5846 -.656 25.67290 .004194 .055961 .003383 Correlation Surface at 646 5846 .150 .001 .014 .202 .386 .277 .083 .010 .012 .024 .017 .022 .102 .305 .320 .022 .004 .018 .001 .028 .017 .092 .390 .217 .005 .065 .023 .003 .014 .014 .191 .807 .311 .001 .021 .004 .003 .003 .004 .213 1.000 .454 .018 .001 .028 .028 .023 .009 .067 .788 .203 .004 .000 .011 .021 .015 .088 .014 .429 .011 .033 .025 .007 .004 .031 .110 .004 .123 .001 .056 .053 .038 .000 .022 .041 .012 .051 .012 .014 .009 .070 r_peak,r_snr = .1074355 14.40239 Correlation Surface of oversamples image at 646 5846 .000 .041 .211 .455 .537 .330 .093 .009 .000 .002 .073 .267 .540 .629 .390 .115 .010 .000 .011 .100 .319 .657 .777 .488 .147 .013 .000 .010 .089 .351 .801 .937 .560 .158 .014 .003 .000 .055 .377 .933 1.000 .525 .123 .010 .009 .008 .031 .412 .973 .883 .372 .063 .005 .010 .036 .024 .438 .870 .631 .200 .021 .001 .004 .062 .026 .403 .643 .379 .094 .005 .001 .002 .063 .028 .309 .419 .228 .053 .000 .012 .039 646 .281 5846 .625 14.40239 .016095 .204495 -.005195 Correlation Surface at 746 5846 .042 .009 .027 .254 .511 .096 .018 .042 .093 .075 .012 .016 .215 .389 .061 .002 .022 .105 .064 .042 .000 .156 .376 .123 .006 .018 .132 .042 .064 .000 .190 .606 .306 .016 .030 .190 .043 .032 .006 .329 1.000 .408 .015 .038 .220 .034 .007 .012 .447 .950 .297 .028 .017 .173 .007 .001 .008 .329 .588 .266 .077 .014 .097 .002 .010 .000 .191 .518 .366 .078 .025 .044 .014 .051 .002 .256 .611 .388 .037 .013 .048 r_peak,r_snr = .2134725 14.71229 Correlation Surface of oversamples image at 746 5846 .002 .020 .135 .329 .456 .403 .228 .074 .005 .001 .029 .173 .437 .644 .593 .340 .109 .008 .001 .047 .233 .579 .848 .762 .417 .126 .009 .006 .069 .295 .708 .986 .828 .421 .121 .009 .010 .081 .338 .775 1.000 .768 .362 .102 .010 .009 .080 .344 .753 .898 .636 .286 .089 .016 .005 .069 .314 .661 .743 .502 .237 .097 .035 .002 .052 .262 .545 .597 .408 .226 .126 .060 .000 .034 .207 .448 .499 .368 .242 .154 .069 746 .031 5846 -.719 14.71229 .005261 .035864 .003410 Correlation Surface at 846 5846 .010 .032 .004 .023 .009 .008 .009 .008 .012 .002 .027 .003 .001 .050 .000 .018 .001 .016 .000 .156 .095 .010 .210 .040 .124 .095 .005 .006 .323 .090 .012 .620 .103 .102 .082 .037 .046 .173 .101 .010 1.000 .092 .001 .000 .001 .016 .021 .076 .131 .730 .089 .059 .086 .006 .036 .042 .027 .424 .490 .088 .141 .092 .006 .077 .120 .152 .346 .358 .066 .073 .000 .091 .013 .048 .035 .040 .146 .042 .000 .061 .120 r_peak,r_snr = 9.27701E-02 15.44334 Correlation Surface of oversamples image at 846 5846 .451 .516 .286 .002 .285 .611 .332 .057 .005 .272 .300 .090 .040 .447 .617 .322 .097 .049 .080 .063 .001 .222 .625 .636 .319 .112 .077 .000 .008 .138 .515 .842 .706 .314 .084 .053 .048 .118 .359 .765 1.000 .734 .253 .030 .012 .096 .190 .421 .757 .910 .582 .123 .000 .002 .102 .179 .345 .577 .659 .355 .036 .012 .022 846 -.531 5846 2.625 15.44335 .007854 .106236 .005500 Correlation Surface at 946 5846 .095 .074 .009 .000 .000 .271 .285 .026 .002 .188 .074 .000 .000 .020 .572 .212 .019 .019 .206 .014 .008 .000 .198 .710 .097 .025 .213 .154 .000 .006 .048 .717 .640 .005 .030 .594 .176 .005 .001 .181 1.000 .234 .051 .098 .743 .127 .002 .003 .055 .334 .000 .011 .240 .488 .055 .006 .022 .000 .004 .030 .006 .110 .161 .091 .078 .001 .019 .001 .004 .003 .025 .064 .302 .107 .018 .109 .003 .001 .014 .041 .037 r_peak,r_snr = 9.17836E-02 6.73252 Correlation Surface of oversamples image at 946 5846 .871 .481 .361 .339 .630 .348 .338 .621 .321 .132 .260 1.021 .068 .011 .236 1.567 .003 .003 .341 2.177 .060 .000 .624 2.540 .041 .067 .957 2.319 .003 .309 1.068 1.645 .143 .553 .836 .885 946 2.875 5846 2.625 6.73252 .017751 .052001 .013632 Correlation Surface at 1246 5846 .013 .000 .077 .393 .437 .363 .384 .315 .276 .008 .000 .086 .344 .396 .455 .458 .435 .277 .005 .004 .189 .439 .494 .465 .356 .468 .178 .001 .047 .339 .533 .714 .468 .307 .364 .146 .000 .048 .255 .700 1.000 .517 .339 .268 .143 .001 .001 .176 .865 .908 .484 .300 .158 .090 .021 .011 .155 .643 .614 .420 .193 .113 .067 r_peak,r_snr = .1649371 6.99882 Correlation Surface of oversamples image at 1246 5846 .062 .157 .276 .365 .424 .489 .495 .393 .284 .085 .198 .335 .446 .548 .634 .587 .418 .287 .084 .202 .366 .543 .723 .808 .675 .447 .298 .056 .175 .384 .660 .903 .932 .712 .455 .302 .025 .145 .416 .771 1.000 .934 .670 .432 .296 .008 .132 .457 .822 .964 .827 .585 .397 .279 .002 .132 .477 .784 .836 .694 .517 .377 .264 .000 .129 .444 .670 .688 .600 .496 .390 .275 .000 .107 .351 .514 .562 .562 .534 .452 .331 1246 -.375 5846 12.531 6.99882 .023276 .093862 .013738 Correlation Surface at 1346 5846 .000 .057 .044 .044 .520 .212 .015 .009 .002 .005 .014 .052 .062 .519 .207 .048 .014 .010 .004 .007 .078 .111 .658 .445 .104 .000 .129 .025 .018 .056 .166 .983 .598 .041 .034 .109 .008 .042 .059 .229 1.000 .291 .005 .027 .017 .005 .051 .019 .410 .751 .142 .014 .001 .000 .027 .041 .001 .320 .528 .162 .021 .000 .001 .047 .046 .000 .090 .249 .069 .000 .026 .018 .038 .041 .007 .019 .081 .033 .004 .058 .062 r_peak,r_snr = .1316216 17.23676 Correlation Surface of oversamples image at 1346 5846 .059 .007 .080 .422 .640 .436 .152 .053 .049 .072 .002 .120 .494 .700 .507 .245 .128 .088 .068 .000 .167 .565 .793 .648 .387 .206 .100 .056 .003 .197 .629 .917 .802 .486 .221 .072 .054 .002 .197 .674 1.000 .837 .442 .156 .030 .068 .000 .194 .713 .983 .709 .299 .077 .008 .086 .000 .236 .764 .897 .536 .182 .039 .004 .076 .009 .344 .824 .811 .428 .141 .041 .012 .037 .054 .471 .845 .742 .394 .160 .073 .034 1346 .063 5846 3.156 17.23676 .022157 .428125 .076042 Correlation Surface at 1446 5846 .000 .233 .005 .197 .221 .095 .000 .000 .003 .046 .331 .009 .054 .207 .130 .010 .097 .017 .218 .365 .086 .030 .328 .255 .027 .136 .022 .152 .150 .039 .133 .611 .466 .004 .022 .118 .001 .022 .000 .265 1.000 .392 .017 .000 .035 .088 .004 .008 .324 .881 .057 .012 .004 .000 .042 .004 .008 .211 .314 .001 .000 .073 .014 .020 .115 .042 .019 .067 .033 .000 .120 .032 .367 .420 .248 .000 .107 .193 .020 .014 .042 r_peak,r_snr = 9.35460E-02 8.19672 Correlation Surface of oversamples image at 1446 5846 .184 .035 .026 .191 .333 .409 .463 .360 .075 .187 .019 .052 .253 .431 .552 .583 .346 .038 .130 .000 .122 .372 .610 .750 .621 .224 .003 .060 .017 .213 .512 .836 .927 .538 .089 .008 .015 .056 .279 .618 1.000 .945 .363 .014 .034 .001 .079 .286 .636 .985 .760 .188 .000 .038 .000 .064 .228 .545 .786 .492 .082 .002 .020 .000 .027 .134 .375 .521 .287 .046 .000 .004 .010 .001 .048 .213 .325 .198 .055 .007 .000 1446 .188 5846 -.906 8.19672 .032406 .210207 .049897 Correlation Surface at 1546 5846 .001 .028 .043 .091 .580 .355 .023 .000 .003 .002 .028 .015 .155 .599 .458 .017 .006 .006 .006 .011 .007 .089 .608 .427 .009 .013 .019 .010 .023 .033 .065 .798 .415 .003 .015 .087 .011 .038 .024 .186 1.000 .304 .000 .026 .084 .015 .043 .004 .268 .871 .247 .001 .001 .014 .014 .024 .000 .246 .867 .305 .025 .010 .010 .002 .008 .024 .402 .999 .290 .034 .000 .004 .071 .049 .084 .514 .811 .195 .034 .000 .007 r_peak,r_snr = .1488047 11.14247 Correlation Surface of oversamples image at 1546 5846 .032 .001 .122 .501 .798 .665 .327 .093 .007 .027 .001 .127 .498 .787 .690 .376 .130 .019 .011 .008 .175 .564 .856 .767 .436 .158 .035 .000 .047 .280 .690 .964 .823 .435 .149 .040 .028 .127 .401 .800 1.000 .749 .330 .100 .027 .088 .219 .502 .854 .925 .578 .214 .063 .018 1546 .000 5846 2.813 11.14247 .008801 .168655 .019419 Correlation Surface at 1646 5846 .042 .012 .000 .049 .237 .078 .023 .081 .017 .070 .043 .011 .030 .324 .152 .066 .176 .028 .107 .060 .077 .009 .565 .149 .145 .244 .038 .070 .078 .145 .071 .985 .123 .205 .294 .052 .019 .124 .109 .189 1.000 .071 .279 .383 .111 .017 .219 .084 .113 .649 .022 .278 .354 .144 .049 .269 .116 .025 .340 .002 .138 .193 .050 .062 .231 .145 .000 .097 .007 .041 .080 .047 .021 .149 .144 .030 .046 .031 .005 .061 .136 r_peak,r_snr = .1689834 22.40255 Correlation Surface of oversamples image at 1646 5846 .040 .026 .000 .074 .303 .350 .107 .006 .149 .080 .069 .003 .118 .455 .437 .086 .025 .196 .139 .097 .000 .247 .671 .509 .065 .047 .230 .182 .075 .024 .452 .884 .556 .053 .059 .253 .183 .031 .094 .640 1.000 .560 .049 .064 .272 .164 .008 .154 .701 .978 .524 .044 .070 .290 .154 .003 .154 .634 .870 .464 .035 .077 .292 .160 .006 .117 .528 .735 .378 .021 .081 .265 .165 .011 .086 .433 .588 .271 .008 .072 .213 1646 -.063 5846 -.313 22.40255 .003897 .086980 .005151 Correlation Surface at 1746 5846 .021 .039 .017 .003 .168 .023 .002 .125 .440 .095 .150 .071 .000 .048 .000 .000 .039 .206 .192 .104 .080 .006 .010 .009 .002 .002 .019 .012 .001 .007 .005 .283 .174 .000 .010 .000 .082 .095 .016 .268 1.000 .406 .001 .000 .001 .169 .218 .060 .245 .477 .260 .019 .126 .082 .418 .274 .058 .007 .099 .120 .144 .343 .185 .319 .057 .016 .013 .097 .043 .197 .149 .120 .016 .001 .016 .049 .058 .110 .111 .001 .005 r_peak,r_snr = 7.30633E-02 12.46773 Correlation Surface of oversamples image at 1746 5846 .186 .049 .005 .000 .016 .056 .032 .000 .025 .117 .042 .014 .001 .091 .208 .112 .002 .028 .061 .031 .003 .061 .371 .521 .250 .013 .031 .030 .011 .017 .308 .803 .814 .348 .015 .049 .008 .002 .154 .641 1.000 .809 .292 .003 .076 .002 .068 .360 .688 .744 .519 .146 .002 .065 .048 .190 .367 .382 .336 .230 .049 .004 .014 .128 .192 .155 .100 .117 .106 .023 .000 .005 .127 .070 .016 .016 .073 .093 .021 .004 .045 1746 3.125 5846 -10.094 12.46774 .035846 .041569 .007098 Correlation Surface at 1846 5846 .057 .032 .035 .131 .313 .036 .079 .046 .050 .192 .017 .041 .001 .039 .156 .001 .001 .012 .027 .439 .063 .001 .058 .066 1.000 .057 .031 .101 .196 .545 r_peak,r_snr = 6.59109E-02 10.1713 Correlation Surface of oversamples image at 1846 5846 .084 .138 .125 .045 .020 .028 .015 .000 .008 .056 .102 .109 .083 .117 .209 .203 .102 .013 .028 .080 .141 .219 .397 .603 .558 .302 .063 .010 .088 .252 .501 .802 .974 .812 .449 .111 .005 .143 .453 .793 1.000 .994 .781 .447 .129 .007 .242 .609 .785 .768 .648 .491 .291 .099 .026 .337 .546 .489 .374 .271 .190 .113 .045 .063 .318 .322 .208 .122 .061 .025 .011 .007 .085 .203 .154 .092 .034 .001 .008 .006 .001 1846 15.375 5846 12.313 10.17131 .045369 .104821 .039068 Correlation Surface at 1946 5846 .001 .061 .156 .082 .027 .255 .000 .109 .003 .012 .064 .202 .099 .132 .306 .001 .025 .004 .074 .120 .082 .003 .236 .427 .014 .016 .199 .010 .007 .029 .095 .695 .799 .124 .092 .152 .356 .441 .137 .315 1.000 .971 .157 .031 .002 .644 .177 .022 .226 .731 .951 .258 .000 .077 .111 .007 .004 .108 .642 .933 .206 .088 .547 .001 .120 .004 .096 .579 .503 .056 .390 .776 .078 .222 .004 .057 .420 .382 .009 .589 .780 r_peak,r_snr = 8.46845E-02 6.89056 Correlation Surface of oversamples image at 1946 5846 .027 .020 .000 .061 .226 .319 .214 .059 .001 .001 .000 .019 .145 .369 .459 .291 .099 .004 .027 .039 .127 .353 .629 .630 .379 .146 .003 .133 .189 .365 .673 .902 .769 .465 .178 .000 .277 .396 .624 .909 1.000 .793 .503 .179 .003 .353 .503 .716 .884 .870 .708 .495 .171 .003 .315 .452 .609 .685 .672 .614 .474 .167 .000 .219 .330 .447 .504 .543 .557 .429 .150 .001 .142 .245 .355 .432 .506 .506 .342 .109 .001 1946 .406 5846 -7.500 6.89056 .081772 .165593 .012628 Correlation Surface at 2046 5846 .097 .180 .086 .121 .294 .182 .000 .001 .004 .094 .069 .053 .067 .282 .127 .000 .001 .001 .004 .017 .022 .060 .342 .246 .026 .029 .001 .002 .048 .019 .112 .755 .413 .087 .029 .021 .040 .061 .023 .282 1.000 .222 .037 .000 .016 .038 .023 .056 .329 .593 .063 .003 .022 .005 .027 .063 .065 .172 .357 .022 .019 .021 .011 .043 .098 .025 .148 .326 .028 .000 .000 .002 .030 .029 .013 .242 .423 .115 .030 .008 .021 r_peak,r_snr = .1497443 15.58292 Correlation Surface of oversamples image at 2046 5846 .052 .072 .102 .166 .242 .238 .155 .070 .019 .044 .056 .100 .201 .336 .386 .286 .137 .050 .044 .058 .125 .296 .545 .638 .443 .204 .089 .043 .063 .169 .458 .821 .845 .499 .219 .104 .035 .066 .233 .646 1.000 .839 .417 .176 .088 .025 .074 .304 .749 .953 .652 .283 .118 .056 .023 .092 .343 .702 .750 .451 .190 .075 .025 .032 .109 .319 .558 .548 .335 .146 .044 .004 .051 .115 .262 .427 .435 .289 .119 .020 .000 2046 .063 5846 -.406 15.58292 .008418 .043880 .008797 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .3083882 24.20899 146 .063 3046 -.125 24.20900 .002230 .003931 .000137 r_peak,r_snr = .3689294 33.89249 246 -.063 3046 -.094 33.89250 .001253 .002736 .000292 r_peak,r_snr = .276482 57.65646 346 -.063 3046 .188 57.65646 .001770 .004723 .000423 r_peak,r_snr = .3312888 15.81728 446 -.031 3046 .000 15.81728 .002307 .005446 .000588 r_peak,r_snr = .3726907 21.50316 546 .031 3046 -.094 21.50317 .001542 .004411 .000443 r_peak,r_snr = .3291874 27.4477 646 .000 3046 .031 27.44770 .001738 .005288 .000687 r_peak,r_snr = .3056996 104.7446 746 .000 3046 -.094 104.74469 .001411 .003168 .000465 r_peak,r_snr = .3289951 96.55144 846 -.063 3046 .031 96.55145 .001239 .002608 .000300 r_peak,r_snr = .3201018 45.85989 946 -.063 3046 .094 45.85989 .001683 .005045 .000644 r_peak,r_snr = .2573236 82.08473 1046 .094 3046 .094 82.08474 .002181 .004601 .000918 r_peak,r_snr = .1837599 19.87456 1146 .031 3046 -.156 19.87457 .007748 .014637 .003348 r_peak,r_snr = .2698991 23.32596 1246 .000 3046 .000 23.32597 .002293 .010390 .001212 r_peak,r_snr = .2902706 79.30006 1346 .031 3046 .094 79.30006 .001506 .004608 .000640 r_peak,r_snr = .3033001 58.36287 1446 -.031 3046 .094 58.36288 .001420 .005501 .000570 r_peak,r_snr = .1852263 16.59927 1546 .063 3046 -.094 16.59927 .006238 .017602 .002345 r_peak,r_snr = .1450975 18.13043 1646 -.031 3046 -.031 18.13044 .006788 .019648 .001440 r_peak,r_snr = .2448902 33.67247 1746 .219 3046 -.344 33.67248 .002948 .011911 .001943 r_peak,r_snr = .201177 42.59808 1846 .031 3046 -.094 42.59809 .002642 .011459 .001419 r_peak,r_snr = .213109 37.74071 1946 -.031 3046 -.063 37.74072 .002724 .009668 .001091 r_peak,r_snr = .1160221 24.10546 2046 -.281 3046 .313 24.10547 .010447 .028461 .008363 At line = 3400 Reading in data.... r_peak,r_snr = .3396542 63.87548 146 .000 3446 -.063 63.87549 .001529 .003205 .000553 r_peak,r_snr = .2673916 33.91714 246 -.031 3446 .031 33.91714 .002780 .015103 .001733 r_peak,r_snr = .2966948 5.87476 346 .000 3446 -.188 5.87476 .005138 .009516 .000902 r_peak,r_snr = .2423251 39.79023 446 .063 3446 .063 39.79023 .003207 .006523 .000770 r_peak,r_snr = .2972399 53.06124 546 .000 3446 .031 53.06124 .002474 .005236 .000559 r_peak,r_snr = .3200895 53.60009 646 -.063 3446 .063 53.60009 .001389 .004801 .000418 r_peak,r_snr = .342622 68.97624 746 .031 3446 .063 68.97625 .001245 .003158 .000352 r_peak,r_snr = .2800441 72.25122 846 -.156 3446 .063 72.25123 .001586 .003554 .000484 r_peak,r_snr = .2368086 54.72638 946 .031 3446 -.125 54.72639 .002357 .005149 .000488 r_peak,r_snr = .2564423 55.44218 1046 .094 3446 -.188 55.44218 .001953 .005123 .000522 r_peak,r_snr = .1816887 45.78277 1146 .031 3446 -.156 45.78278 .003557 .007614 .001255 r_peak,r_snr = .2334174 54.38617 1246 .031 3446 -.125 54.38618 .002362 .006796 .000980 r_peak,r_snr = .3077074 107.1852 1346 -.031 3446 .031 107.18524 .001120 .003047 .000459 r_peak,r_snr = .1965179 57.65918 1446 .063 3446 -.063 57.65918 .003808 .009837 .000800 r_peak,r_snr = .1735247 15.95873 1546 -.031 3446 .281 15.95873 .008034 .041685 .007228 r_peak,r_snr = .1701232 29.64363 1646 .094 3446 -.344 29.64363 .005115 .094686 .009720 r_peak,r_snr = .1835129 41.63695 1746 .063 3446 -.031 41.63696 .004059 .013562 .001424 r_peak,r_snr = .2201478 44.14468 1846 .063 3446 .031 44.14469 .003312 .016017 .000186 r_peak,r_snr = .2207948 34.38988 1946 -.063 3446 .375 34.38988 .002465 .008578 .000794 r_peak,r_snr = .2162995 25.35346 2046 .031 3446 -.094 25.35347 .003063 .011441 .002160 At line = 3800 Reading in data.... r_peak,r_snr = .3069207 35.83011 146 .031 3846 -.063 35.83012 .002171 .003648 .000568 r_peak,r_snr = .2139312 19.92105 246 -.313 3846 .125 19.92105 .003974 .019773 .001161 r_peak,r_snr = .2228283 15.9002 346 .031 3846 .250 15.90020 .004932 .038993 .004980 r_peak,r_snr = .2751723 24.84054 446 -.031 3846 .031 24.84055 .002752 .004046 .000611 r_peak,r_snr = .2179897 47.98273 546 .063 3846 .031 47.98273 .002764 .009178 .001767 r_peak,r_snr = .3443837 43.24142 646 .063 3846 -.094 43.24142 .001249 .002798 .000352 r_peak,r_snr = .3331368 70.64136 746 .031 3846 .156 70.64137 .001290 .002736 .000467 r_peak,r_snr = .2878714 85.17371 846 -.031 3846 .000 85.17371 .001626 .005034 .000465 r_peak,r_snr = .2924545 65.27944 946 -.094 3846 -.063 65.27944 .001659 .003676 .000454 r_peak,r_snr = .2766847 77.63872 1046 .125 3846 -.094 77.63873 .002147 .004450 .000643 r_peak,r_snr = .2108844 41.78585 1146 -.125 3846 .219 41.78585 .003576 .009160 .001926 r_peak,r_snr = .3053311 30.40036 1246 .094 3846 -.156 30.40037 .001594 .006332 .000826 r_peak,r_snr = .343798 55.24859 1346 .000 3846 .031 55.24860 .001363 .004293 .000399 r_peak,r_snr = .2323778 29.94977 1446 -.063 3846 .031 29.94977 .002799 .008168 .000952 r_peak,r_snr = .1487709 33.0986 1546 -.094 3846 -.156 33.09861 .010027 .019067 .004972 r_peak,r_snr = .1277471 16.03554 1646 .313 3846 -.781 16.03554 .011952 .034906 .007056 r_peak,r_snr = .2302866 41.81176 1746 -.094 3846 .406 41.81176 .003201 .012713 .001663 r_peak,r_snr = .1656598 32.90266 1846 .000 3846 -.094 32.90266 .003279 .013200 .001490 r_peak,r_snr = 8.15076E-02 10.2609 1946 -13.469 3846 -8.844 10.26090 .027102 .119908 .022550 r_peak,r_snr = .209718 49.90606 2046 .063 3846 .063 49.90606 .002490 .008742 .001038 At line = 4200 Reading in data.... r_peak,r_snr = .3455044 47.77872 146 -.031 4246 -.094 47.77873 .001365 .003136 .000375 r_peak,r_snr = .3351 44.9041 246 .125 4246 -.344 44.90411 .001802 .003832 .000410 r_peak,r_snr = .2183394 46.1784 346 .063 4246 -.125 46.17841 .002876 .006277 .000685 r_peak,r_snr = .3589031 13.62661 446 .000 4246 .063 13.62662 .002021 .006682 .000640 r_peak,r_snr = .2020274 47.13479 546 .125 4246 -.344 47.13480 .003040 .010597 .000984 r_peak,r_snr = .3239019 46.88754 646 .063 4246 .000 46.88755 .001544 .005082 .000244 r_peak,r_snr = .2594592 77.47725 746 -.031 4246 .063 77.47726 .002111 .004209 .000847 r_peak,r_snr = .3225364 73.33106 846 .094 4246 -.031 73.33106 .001311 .003655 .000257 r_peak,r_snr = .3516144 45.67511 946 -.094 4246 .063 45.67512 .001284 .003087 .000508 r_peak,r_snr = .3189615 72.81432 1046 -.063 4246 -.125 72.81432 .001487 .004074 .000617 r_peak,r_snr = .2802896 84.42734 1146 -.094 4246 .031 84.42735 .001518 .003829 .000503 r_peak,r_snr = .2939307 29.88823 1246 .063 4246 -.094 29.88824 .001844 .008719 .001076 r_peak,r_snr = .2971061 18.0029 1346 .000 4246 -.031 18.00291 .002146 .007044 .001069 r_peak,r_snr = .2406741 36.04714 1446 -.188 4246 .125 36.04715 .002930 .006084 .000615 r_peak,r_snr = .2840664 42.51659 1546 -.094 4246 .156 42.51659 .002201 .005587 .000696 r_peak,r_snr = .2309258 9.09596 1646 .125 4246 .063 9.09596 .006119 .039666 .004074 r_peak,r_snr = .1914773 26.24019 1746 -.063 4246 .094 26.24020 .004839 .013899 .001765 r_peak,r_snr = .2052928 27.57501 1846 .063 4246 .094 27.57501 .003529 .014263 .001783 r_peak,r_snr = .2229959 24.28911 1946 -.156 4246 .125 24.28912 .004510 .008665 .001179 r_peak,r_snr = .1183426 10.43821 2046 -.156 4246 .250 10.43821 .014371 .072090 -.003503 At line = 4600 Reading in data.... r_peak,r_snr = .2912275 84.9205 146 -.094 4646 -.188 84.92050 .001720 .003711 .000521 r_peak,r_snr = .2971459 62.52096 246 -.031 4646 .094 62.52097 .001641 .002806 .000405 r_peak,r_snr = .1993623 39.57224 346 .031 4646 -.063 39.57225 .003465 .009526 .001237 r_peak,r_snr = .270457 11.97552 446 -.156 4646 .094 11.97552 .004268 .013942 .001861 r_peak,r_snr = .2137444 35.45763 546 .063 4646 .000 35.45763 .003239 .008134 .000891 r_peak,r_snr = .2280078 58.10805 646 .031 4646 .094 58.10806 .002445 .005758 .001064 r_peak,r_snr = .3013102 88.47003 746 .000 4646 .281 88.47003 .001551 .004836 .000550 r_peak,r_snr = .3298847 65.87689 846 .031 4646 .063 65.87690 .001339 .003501 .000516 r_peak,r_snr = .3353621 30.44075 946 -.094 4646 .125 30.44076 .001655 .003068 .000478 r_peak,r_snr = .3015179 80.8778 1046 .063 4646 -.031 80.87781 .001464 .003556 .000597 r_peak,r_snr = .3444287 69.27924 1146 -.094 4646 .063 69.27924 .001297 .004153 .000606 r_peak,r_snr = .1979992 23.46391 1246 .000 4646 .000 23.46392 .005385 .037957 -.002348 r_peak,r_snr = .2785015 49.86333 1346 .000 4646 .219 49.86333 .001960 .004899 .000458 r_peak,r_snr = .3190077 61.29672 1446 -.094 4646 -.094 61.29672 .001553 .005372 .000719 r_peak,r_snr = .2419321 35.4648 1546 .063 4646 .031 35.46481 .002951 .010395 .000994 r_peak,r_snr = .1799419 15.61034 1646 -.031 4646 -.156 15.61035 .006864 .022965 .003114 r_peak,r_snr = .1475422 21.58382 1746 .000 4646 .063 21.58382 .010093 .053246 .011663 r_peak,r_snr = .2066829 17.27227 1846 -.031 4646 -.031 17.27228 .004514 .012191 .002115 r_peak,r_snr = .1819366 44.94574 1946 .094 4646 .188 44.94574 .003902 .012032 .002587 r_peak,r_snr = .2314362 51.29307 2046 .094 4646 -.094 51.29308 .002744 .008134 .001167 At line = 5000 Reading in data.... r_peak,r_snr = .309002 81.09581 146 .156 5046 .000 81.09582 .001927 .003102 .000594 r_peak,r_snr = .2003139 36.37314 246 -.063 5046 .063 36.37315 .003527 .005948 .001293 r_peak,r_snr = .2413933 26.02696 346 -.063 5046 -.063 26.02696 .003268 .005575 .000893 r_peak,r_snr = .3008204 24.01947 446 -.063 5046 -.156 24.01947 .002334 .015263 -.000004 r_peak,r_snr = .2673691 22.71805 546 -.031 5046 -.125 22.71806 .002882 .008763 .001602 r_peak,r_snr = .2356294 59.90264 646 -.156 5046 -.188 59.90265 .003256 .006037 .000652 r_peak,r_snr = .2957723 78.03389 746 -.063 5046 .063 78.03390 .001605 .003810 .000617 r_peak,r_snr = .2490544 64.18447 846 .000 5046 .000 64.18448 .001996 .005499 .000543 r_peak,r_snr = .3880073 43.16419 946 -.031 5046 -.094 43.16420 .001276 .002920 .000358 r_peak,r_snr = .2866996 47.34048 1046 .063 5046 -.094 47.34048 .001678 .003738 .000619 r_peak,r_snr = .2537333 78.23406 1146 .094 5046 -.063 78.23406 .001805 .004082 .000719 r_peak,r_snr = .2803609 62.97363 1246 -.125 5046 .125 62.97364 .001910 .006852 .000910 r_peak,r_snr = .2259288 40.84173 1346 -.063 5046 .063 40.84173 .002938 .008654 .001618 r_peak,r_snr = .2580427 25.97496 1446 .031 5046 -.250 25.97497 .002663 .007064 .001005 r_peak,r_snr = .2342875 20.02806 1546 .000 5046 -.125 20.02806 .003259 .013659 .002014 r_peak,r_snr = .2562551 56.25957 1646 .125 5046 -.156 56.25957 .002020 .006451 .000876 r_peak,r_snr = .2017896 9.94172 1746 -.219 5046 -.781 9.94172 .008589 .033802 .001847 r_peak,r_snr = .2744374 44.48132 1846 .000 5046 .094 44.48132 .002265 .007123 .000909 r_peak,r_snr = .2383975 43.71926 1946 .063 5046 .188 43.71926 .002513 .009314 .000728 r_peak,r_snr = .1451781 15.1981 2046 .375 5046 -1.031 15.19810 .011812 .107981 .010494 At line = 5400 Reading in data.... r_peak,r_snr = .3164067 68.77846 146 .094 5446 -.094 68.77847 .001652 .002849 .000460 r_peak,r_snr = .1651049 35.82439 246 -.094 5446 .219 35.82439 .004298 .007279 .001208 r_peak,r_snr = .1894567 49.28206 346 .063 5446 -.188 49.28206 .003788 .006533 .001094 r_peak,r_snr = .2848089 39.36951 446 .031 5446 -.156 39.36951 .001974 .007188 .000441 r_peak,r_snr = .2558758 27.29225 546 -.063 5446 -.156 27.29226 .002741 .007179 .000856 r_peak,r_snr = .2794487 23.39187 646 -.031 5446 -.156 23.39187 .002222 .008714 .001354 r_peak,r_snr = .3179154 61.67356 746 .000 5446 -.094 61.67356 .001349 .003601 .000480 r_peak,r_snr = .3024138 81.61831 846 .094 5446 -.250 81.61832 .001595 .003680 .000419 r_peak,r_snr = .2957278 76.65738 946 -.094 5446 .063 76.65739 .001598 .003786 .000542 r_peak,r_snr = .2010117 64.35841 1046 -.094 5446 .031 64.35841 .003586 .006137 .001051 r_peak,r_snr = .2710986 75.44796 1146 .000 5446 .000 75.44797 .001698 .003857 .000750 r_peak,r_snr = .2365694 52.6245 1246 -.031 5446 -.156 52.62450 .002635 .005029 .000673 r_peak,r_snr = .2500045 57.40777 1346 .063 5446 .000 57.40778 .002067 .008126 .001179 r_peak,r_snr = .2119335 43.1766 1446 -.094 5446 .125 43.17660 .002950 .008304 .001043 r_peak,r_snr = .262909 31.00258 1546 -.063 5446 -.094 31.00258 .002379 .006061 .000873 r_peak,r_snr = .2067333 32.58207 1646 .063 5446 -.344 32.58207 .003381 .010773 .001076 r_peak,r_snr = .2482691 44.21001 1746 -.063 5446 -.313 44.21001 .002114 .009793 .000765 r_peak,r_snr = 7.92905E-02 11.6686 1846 12.656 5446 7.531 11.66861 .009209 .085462 .007343 r_peak,r_snr = .1089707 22.21422 1946 .031 5446 .063 22.21422 .011213 .026803 -.000818 r_peak,r_snr = .1803671 37.40623 2046 .063 5446 -.688 37.40623 .004560 .027983 .002727 At line = 5800 Reading in data.... r_peak,r_snr = .3706951 49.59977 146 .063 5846 -.219 49.59978 .001105 .002647 .000231 r_peak,r_snr = .2208412 28.27993 246 -.125 5846 -.031 28.27994 .002747 .007985 .000630 r_peak,r_snr = .1564464 32.79352 346 .031 5846 -.094 32.79353 .005014 .009128 .002543 r_peak,r_snr = .3984105 42.9359 446 .000 5846 -.094 42.93591 .001120 .003257 .000452 r_peak,r_snr = .2377982 47.78931 546 .000 5846 .219 47.78931 .002062 .010863 .000566 r_peak,r_snr = .2311347 47.52857 646 -.031 5846 -.156 47.52857 .002640 .012829 .000799 r_peak,r_snr = .3882871 35.28853 746 -.094 5846 .156 35.28854 .001276 .003880 .000540 r_peak,r_snr = .3079691 101.8975 846 .031 5846 .188 101.89760 .001331 .003084 .000351 r_peak,r_snr = .3105861 47.02551 946 -.031 5846 -.031 47.02551 .001796 .004896 .000683 r_peak,r_snr = .2642369 55.35475 1046 .031 5846 .063 55.35476 .002289 .005257 .000774 r_peak,r_snr = .3011881 98.22263 1146 .031 5846 .063 98.22263 .001377 .003271 .000382 r_peak,r_snr = .2377517 23.31922 1246 .063 5846 -.125 23.31923 .003785 .010996 .000613 r_peak,r_snr = .2078557 42.8595 1346 -.125 5846 .375 42.85951 .003100 .015183 .002137 r_peak,r_snr = .2866591 61.56838 1446 .031 5846 .094 61.56839 .001672 .004225 .000792 r_peak,r_snr = .2439288 20.80171 1546 .031 5846 .031 20.80171 .002715 .010804 .000604 r_peak,r_snr = .3261698 59.483 1646 .031 5846 -.031 59.48301 .001282 .004949 .000593 r_peak,r_snr = .1784885 44.22467 1746 -.188 5846 .188 44.22468 .004131 .011081 .002703 r_peak,r_snr = .133094 25.79716 1846 -.125 5846 .031 25.79717 .012522 .019116 .004386 r_peak,r_snr = .2593518 37.73653 1946 .031 5846 .281 37.73654 .002793 .006897 .001065 r_peak,r_snr = .2978452 30.62754 2046 -.063 5846 .063 30.62754 .001897 .007064 .000836 ************************************************* ***** 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 94047 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 94047 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 94047 FOUND CALIB SET 94047 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: 67.5 -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: 67.50 deg Receiver phase difference is 132.90 deg Transmitter phase difference is 200.40 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 1100 ********************************************* ***** ***** ***** 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 1100 rm: /data12/airops/hd5273.log non-existent Thu Apr 30 16:56:40 PDT 1998 Thu Apr 30 16:56:40 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 @ 09:03:49 IDR=178900 FC=3,645,000 drft 9.0; started both ru ns early (lots of tape, and pilots on track); nice and smooth,8 43,480 drft -7.8 (started at -8.8); no photoruce Wheeler, Micha l Kobrick, Timothy William 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: 94047 94047 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5273 prod ID1:*5273*5273* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94047 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> 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 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 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 = 358.5 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 23-JUL-1994 Starting and end GPS times for SAR data -171772900.9310 -171772852.2760 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91249 53.86667 53.95667 .0257507 0 lond -104.55516 -104.58167 -104.52833 .0150596 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.29060 7647.73680 7661.75760 3.2971101 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87335 53.96341 .0258241 0 long -104.55706 -104.58317 -104.53039 .0151296 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8077.68018 8099.16016 6.3377424 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 = -171772900.930737 -171772900.931 GPS trend coefficients = 12.64438849426002 -32.2659387693029 10.51366302696849 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 delx .25721 .25719 .25722 .0000090 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91247 53.86833 53.95667 .0257659 0 lond -104.55517 -104.58167 -104.53000 .0150551 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.28631 7647.73680 7661.75760 3.2936514 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87519 53.96341 .0258192 0 long -104.55706 -104.58317 -104.53146 .0151267 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8085.58726 8087.44617 .3964505 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 .00573 -.16133 .17376 .0533585 0 ca .00304 -.09301 .12044 .0272535 0 aa -.02534 -.06916 .02743 .0147684 0 Average Barometric Altitude = 7957.628388750036 Average Radar Altitude = 7655.286314999978 Average GPS Altitude = 8086.425054931753 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.041417405360789E-04 Standard deviation of difference = 2.890547512215072E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8972588 -104.5443802 8086.017 End position = 53.9413872 -104.5702209 8085.937 Loxodromic Heading (deg) = -19.0686616 Loxodromic Distance (km) = 5196.8078896 Geodesic Heading (deg) = -19.0582222 Geodesic Distance (km) = 5196.8078310 Peg latitude and longitude = 53.9193344 -104.5572891 Peg heading = -19.0835881 Rotation matrix First row = -.148024735 -.124478484 -.981118640 Second row = -.570017337 .821430672 -.018217755 Third row = .808188662 .556557956 -.192546952 Translation vector Vector = -1971.16181 -7590.59899 -23821.27493 Local Radius of Curvature = 6378810.85774158 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2544792550929893 Delta s on reference surface = .2544792564689803 Making fits... Vertical fit coefficients = 8086.122612979212 2.588390401069773E-02 -2.834979779567703E-03 Cross track fit coefficients = 1.23776399481715 -2.624946088261977E-02 2.107119578362676E-03 Along track fit coefficients = -5312.33868802552 216.1692836745134 1.596638176649989E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3218.259912903883 Time orgin = -171772900.930737 Pulse spacing = .2572078735240478 First frame = 4413720 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/cm5273_l.par Enter the raw data file name. /data2/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5273_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): (15.07131,.0) (47.72584,.0) (-45.214,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 39092.88 Pulse#/64: 65 1073 57154.45 Pulse#/64: 129 1073 64532.21 Pulse#/64: 193 1073 70393.28 Pulse#/64: 257 1073 44011.39 Estimate Caltone : 1565 -----CalTone Estimate Position --- CalTone Bin at : 1565 1073 CalTone Bin offset : -492 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.98459Power RMS: 1.66683 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 202.8199Amp. RMS: 38.68371 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -31.9071Phase RMS: 242.1224 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.98897 CalTone Power Coherently dB : 45.98459 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.98897 Incoherent PW - Coherent PW : 36.00438 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12541.64 CalTone Amplitude Coherently : 202.8199 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12338.82 ------------ *** ------------ running time (sec): 66.80 ********** 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/cm5273_l.par Enter the raw data file name. /data2/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5273_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): (-15.1071,.0) (-18.8839,.0) (28.95528,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 37910.76 Pulse#/64: 65 1073 46126.69 Pulse#/64: 129 1073 43745.01 Pulse#/64: 193 1073 34399.37 Pulse#/64: 257 1073 34598.63 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.02817Power RMS: 1.01791 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 201.6036Amp. RMS: 25.31967 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 133.8484Phase RMS: 251.6079 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.12769 CalTone Power Coherently dB : 46.02817 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.12769 Incoherent PW - Coherent PW : 36.09951 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12787.0 CalTone Amplitude Coherently : 201.6036 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12585.4 ------------ *** ------------ running time (sec): 65.04 ********** 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/cm5273_l.par Enter the raw data file name. /data2/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5273_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): (-17.625,.0) (-11.3303,.0) (6.29463,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 45431.78 Pulse#/64: 65 1073 14637.42 Pulse#/64: 129 1073 37703.51 Pulse#/64: 193 1073 43307.84 Pulse#/64: 257 1073 31928.4 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.86571Power RMS: 1.85839 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 200.8554Amp. RMS: 45.81608 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -18.0802Phase RMS: 246.9444 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.89456 CalTone Power Coherently dB : 45.86571 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.89456 Incoherent PW - Coherent PW : 36.02885 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12450.65 CalTone Amplitude Coherently : 200.8554 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12249.79 ------------ *** ------------ running time (sec): 65.42 ********** 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/cm5273_l.par Enter the raw data file name. /data2/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5273_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): (5.02377,.0) (-47.7258,.0) (80.38036,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 32908.67 Pulse#/64: 65 1073 101141.9 Pulse#/64: 129 1073 32241.62 Pulse#/64: 193 1073 83970.45 Pulse#/64: 257 1073 15352.76 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.68515Power RMS: 2.31809 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 224.6849Amp. RMS: 74.36904 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 49.04503Phase RMS: 220.8822 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.32872 CalTone Power Coherently dB : 46.68515 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.32872 Incoherent PW - Coherent PW : 35.64356 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 13081.62 CalTone Amplitude Coherently : 224.6849 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12856.93 ------------ *** ------------ running time (sec): 65.68 ********** 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: 1.25991 -3.02603E-05 z fit: constant and linear terms: .3024865 -8.49258E-11 y and z standard deviations (meters) .4331308 .3679376 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 = -.142022 -.143576 -.139299 -.138638 Differences = -1.13840E-03 -2.69175E-03 1.58481E-03 2.24541E-03 PATCH NUMER 2 First line = 3493 Averages = -.14097 -.138077 -.139888 -.14002 Differences = -1.23124E-03 1.66143E-03 -1.49518E-04 -2.80574E-04 PATCH NUMER 3 First line = 6985 Averages = -.13972 -.140054 -.139584 -.137166 Differences = -5.88685E-04 -9.22933E-04 -4.53144E-04 1.96470E-03 PATCH NUMER 4 First line = 10477 Averages = -.139861 -.137824 -.137213 -.137865 Differences = -1.66987E-03 3.66792E-04 9.77695E-04 3.25322E-04 PATCH NUMER 5 First line = 13969 Averages = -.137119 -.137508 -.138201 -.139337 Differences = 9.21890E-04 5.33059E-04 -1.59562E-04 -1.29551E-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/cm5273_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) = 430.7999 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/cm5273_l.mocomph Output file name? /data3/airops/cm5273_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 = 2.340 Processing 5 blocks Processing block number 1 reference line: 4096 2.340 seconds. Range compression done, time = 119.778 Motion comp. coeff. calculated, time = 119.854 Motion comp. added to patch, time = 213.258 Doppler estimation done, time = 213.258 Azimuth compression starting, time : 213.397 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 587.870 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 609.669 seconds. Range compression done, time = 715.270 Motion comp. coeff. calculated, time = 715.365 Motion comp. added to patch, time = 791.133 Doppler estimation done, time = 791.133 Azimuth compression starting, time : 791.249 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1165.851 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1184.801 seconds. Range compression done, time = 1290.748 Motion comp. coeff. calculated, time = 1291.092 Motion comp. added to patch, time = 1366.799 Doppler estimation done, time = 1366.799 Azimuth compression starting, time : 1366.930 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1741.267 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1760.821 seconds. Range compression done, time = 1866.885 Motion comp. coeff. calculated, time = 1867.083 Motion comp. added to patch, time = 1942.804 Doppler estimation done, time = 1942.804 Azimuth compression starting, time : 1942.936 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2319.001 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2339.279 seconds. Range compression done, time = 2445.092 Motion comp. coeff. calculated, time = 2445.271 Motion comp. added to patch, time = 2522.848 Doppler estimation done, time = 2522.848 Azimuth compression starting, time : 2522.988 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2900.908 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_l.hh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_l.mocomph Output file name? /data3/airops/cm5273_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 = 2.328 Processing 5 blocks Processing block number 1 reference line: 4096 2.329 seconds. Range compression done, time = 113.663 Motion comp. coeff. calculated, time = 113.739 Motion comp. added to patch, time = 194.394 Doppler estimation done, time = 194.395 Azimuth compression starting, time : 194.511 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 575.388 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 596.743 seconds. Range compression done, time = 702.750 Motion comp. coeff. calculated, time = 702.825 Motion comp. added to patch, time = 778.720 Doppler estimation done, time = 778.720 Azimuth compression starting, time : 778.835 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1188.113 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1203.804 seconds. Range compression done, time = 1310.604 Motion comp. coeff. calculated, time = 1310.943 Motion comp. added to patch, time = 1399.273 Doppler estimation done, time = 1399.273 Azimuth compression starting, time : 1399.420 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1810.112 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1829.868 seconds. Range compression done, time = 1936.632 Motion comp. coeff. calculated, time = 1936.868 Motion comp. added to patch, time = 2024.008 Doppler estimation done, time = 2024.008 Azimuth compression starting, time : 2024.153 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2437.478 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2457.323 seconds. Range compression done, time = 2562.977 Motion comp. coeff. calculated, time = 2563.163 Motion comp. added to patch, time = 2639.132 Doppler estimation done, time = 2639.133 Azimuth compression starting, time : 2639.262 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3055.846 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_l.hv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_l.mocompv Output file name? /data3/airops/cm5273_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 = 2.359 Processing 5 blocks Processing block number 1 reference line: 4096 2.360 seconds. Range compression done, time = 127.313 Motion comp. coeff. calculated, time = 127.388 Motion comp. added to patch, time = 206.264 Doppler estimation done, time = 206.264 Azimuth compression starting, time : 206.380 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 587.092 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 608.434 seconds. Range compression done, time = 729.294 Motion comp. coeff. calculated, time = 729.377 Motion comp. added to patch, time = 805.718 Doppler estimation done, time = 805.718 Azimuth compression starting, time : 805.850 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1211.623 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1226.195 seconds. Range compression done, time = 1348.087 Motion comp. coeff. calculated, time = 1348.619 Motion comp. added to patch, time = 1430.909 Doppler estimation done, time = 1430.909 Azimuth compression starting, time : 1431.038 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1844.294 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1863.649 seconds. Range compression done, time = 1985.335 Motion comp. coeff. calculated, time = 1985.549 Motion comp. added to patch, time = 2061.474 Doppler estimation done, time = 2061.474 Azimuth compression starting, time : 2061.598 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2478.808 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2498.116 seconds. Range compression done, time = 2619.163 Motion comp. coeff. calculated, time = 2619.573 Motion comp. added to patch, time = 2699.413 Doppler estimation done, time = 2699.414 Azimuth compression starting, time : 2699.530 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3117.045 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_l.vh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_l.mocompv Output file name? /data3/airops/cm5273_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 = 2.283 Processing 5 blocks Processing block number 1 reference line: 4096 2.283 seconds. Range compression done, time = 113.136 Motion comp. coeff. calculated, time = 113.211 Motion comp. added to patch, time = 195.567 Doppler estimation done, time = 195.567 Azimuth compression starting, time : 195.697 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 575.862 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 597.268 seconds. Range compression done, time = 703.160 Motion comp. coeff. calculated, time = 703.235 Motion comp. added to patch, time = 779.490 Doppler estimation done, time = 779.491 Azimuth compression starting, time : 779.634 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1184.267 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1200.521 seconds. Range compression done, time = 1307.160 Motion comp. coeff. calculated, time = 1307.823 Motion comp. added to patch, time = 1386.426 Doppler estimation done, time = 1386.426 Azimuth compression starting, time : 1386.569 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1797.984 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1817.347 seconds. Range compression done, time = 1923.993 Motion comp. coeff. calculated, time = 1924.245 Motion comp. added to patch, time = 2000.349 Doppler estimation done, time = 2000.350 Azimuth compression starting, time : 2000.493 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2415.451 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2435.136 seconds. Range compression done, time = 2540.892 Motion comp. coeff. calculated, time = 2541.103 Motion comp. added to patch, time = 2617.091 Doppler estimation done, time = 2617.091 Azimuth compression starting, time : 2617.269 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3032.235 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_l.vv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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: 1097 *************************************** ***** ***** ***** 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 94047 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 = 1.09782 -12.6072 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 246 3046 .006 .023 .068 .244 .245 .079 .000 .000 .000 .003 .027 .127 .208 .214 .099 .005 .000 .014 .001 .055 .199 .200 .315 .245 .044 .005 .032 .003 .105 .195 .246 .673 .588 .181 .031 .018 .016 .133 .125 .321 1.000 .806 .273 .045 .003 .024 .085 .055 .288 .851 .608 .176 .025 .000 .012 .032 .019 .188 .557 .403 .092 .014 .006 .012 .016 .015 .142 .459 .398 .089 .017 .009 .024 .017 .026 .160 .475 .421 .097 .021 .003 r_peak,r_snr = .2127325 12.41171 Correlation Surface of oversamples image at 246 3046 .161 .182 .285 .454 .507 .348 .141 .027 .000 .151 .190 .357 .610 .699 .522 .267 .089 .012 .133 .202 .440 .772 .886 .694 .406 .171 .038 .110 .208 .506 .885 .999 .796 .498 .232 .063 .082 .201 .528 .909 1.000 .791 .500 .238 .071 .051 .177 .498 .844 .902 .693 .427 .199 .065 .027 .147 .441 .740 .764 .565 .337 .155 .056 .016 .125 .389 .639 .638 .462 .276 .132 .055 .013 .114 .346 .548 .536 .396 .248 .128 .058 246 .375 3046 .281 12.41171 .009217 .032359 .000583 Correlation Surface at 346 3046 .047 .003 .002 .153 .658 .391 .070 .017 .224 .007 .001 .000 .219 .708 .428 .091 .039 .223 .010 .000 .000 .196 .597 .412 .121 .086 .086 .050 .004 .002 .217 .715 .504 .170 .076 .000 .125 .020 .011 .377 1.000 .534 .156 .012 .018 .132 .038 .016 .508 .905 .389 .119 .000 .005 .058 .025 .018 .432 .538 .311 .129 .012 .000 .014 .013 .021 .307 .430 .375 .170 .071 .010 .009 .007 .031 .287 .588 .366 .194 .157 .042 r_peak,r_snr = .1306923 8.72106 Correlation Surface of oversamples image at 346 3046 .000 .033 .162 .358 .571 .642 .458 .226 .116 .000 .024 .138 .346 .613 .704 .488 .240 .137 .000 .025 .151 .405 .733 .813 .537 .268 .169 .000 .036 .201 .523 .886 .902 .562 .285 .182 .000 .054 .276 .662 1.000 .907 .532 .277 .169 .000 .068 .337 .747 .995 .803 .456 .253 .143 .002 .062 .340 .720 .855 .635 .375 .236 .125 .010 .038 .290 .604 .662 .484 .330 .244 .129 .030 .018 .230 .480 .511 .402 .333 .276 .154 346 .125 3046 .125 8.72106 .021611 .165230 .026471 Correlation Surface at 446 3046 .494 .433 .502 .655 .742 .557 .431 .361 .363 .473 .530 .558 .697 .809 .608 .472 .354 .317 .436 .520 .553 .735 .879 .702 .533 .338 .296 .407 .456 .530 .776 .992 .810 .549 .327 .303 .358 .369 .482 .772 1.000 .805 .540 .350 .310 .278 .306 .485 .758 .873 .700 .534 .409 .310 .230 .332 .575 .743 .737 .606 .537 .449 .296 .288 .455 .681 .730 .691 .590 .544 .472 .302 .400 .574 .724 .737 .729 .627 .579 .528 .344 r_peak,r_snr = .3243203 2.48606 Correlation Surface of oversamples image at 446 3046 .482 .567 .695 .813 .870 .876 .860 .827 .757 .465 .560 .697 .830 .913 .942 .917 .848 .751 .449 .556 .707 .858 .959 .986 .930 .826 .717 .440 .564 .734 .898 .994 .988 .889 .763 .666 .445 .593 .781 .942 1.000 .935 .799 .678 .608 .469 .642 .837 .969 .961 .834 .683 .587 .550 .513 .703 .883 .959 .880 .712 .568 .504 .496 .565 .748 .887 .899 .770 .594 .475 .440 .450 .606 .757 .839 .801 .658 .502 .413 .400 .420 446 -.406 3046 4.781 2.48606 .015798 .126057 .009424 Correlation Surface at 546 3046 .312 .347 .440 .693 .851 .799 .629 .400 .184 .324 .373 .476 .713 .881 .781 .590 .367 .175 .297 .371 .456 .682 .884 .810 .582 .351 .181 .269 .363 .408 .647 .948 .892 .581 .345 .185 .287 .372 .393 .675 1.000 .849 .532 .343 .195 .349 .407 .446 .732 .925 .704 .503 .363 .213 .407 .457 .548 .741 .801 .682 .561 .383 .219 .428 .504 .611 .685 .777 .801 .615 .372 .232 .444 .518 .555 .618 .816 .886 .596 .382 .287 r_peak,r_snr = .4581348 3.59037 Correlation Surface of oversamples image at 546 3046 .388 .485 .632 .779 .852 .833 .758 .660 .548 .376 .473 .627 .787 .879 .878 .799 .675 .541 .370 .470 .634 .809 .922 .932 .834 .679 .525 .372 .479 .654 .845 .969 .969 .840 .656 .498 .383 .500 .688 .886 1.000 .967 .802 .609 .467 .408 .535 .729 .915 .996 .917 .733 .557 .447 .445 .580 .764 .916 .950 .838 .664 .526 .448 .493 .623 .778 .885 .878 .763 .625 .529 .474 .544 .653 .764 .831 .811 .723 .631 .567 .516 546 .125 3046 3.094 3.59037 .006764 .060736 .010975 Correlation Surface at 646 3046 .049 .040 .088 .367 .625 .269 .160 .260 .201 .055 .011 .050 .360 .650 .289 .196 .199 .170 .004 .000 .038 .381 .779 .435 .279 .251 .281 .029 .018 .037 .430 .986 .601 .375 .458 .487 .096 .045 .029 .452 1.000 .601 .449 .666 .546 .092 .049 .019 .425 .825 .507 .475 .611 .388 .049 .037 .020 .432 .727 .522 .468 .395 .222 .031 .028 .031 .499 .840 .663 .432 .279 .193 .036 .019 .044 .488 .939 .720 .400 .326 .244 r_peak,r_snr = .1732049 5.80969 Correlation Surface of oversamples image at 646 3046 .038 .121 .311 .538 .625 .552 .433 .362 .362 .033 .131 .341 .589 .716 .665 .522 .407 .371 .033 .151 .386 .667 .837 .790 .603 .439 .379 .038 .175 .435 .752 .949 .882 .647 .450 .389 .042 .192 .469 .807 1.000 .896 .629 .433 .397 .041 .193 .476 .813 .973 .831 .563 .400 .407 .038 .185 .461 .775 .891 .727 .491 .381 .435 .034 .172 .432 .713 .789 .629 .446 .393 .484 .033 .165 .411 .663 .715 .576 .447 .446 .550 646 .063 3046 -.375 5.80969 .013615 .309410 .009723 Correlation Surface at 746 3046 .184 .159 .148 .288 .410 .148 .022 .073 .105 .154 .193 .153 .245 .312 .151 .056 .096 .109 .233 .240 .122 .171 .400 .308 .087 .063 .041 .314 .216 .092 .200 .765 .518 .061 .023 .011 .275 .156 .086 .331 1.000 .489 .053 .034 .015 .203 .127 .115 .403 .701 .312 .105 .093 .026 .209 .149 .195 .333 .317 .202 .159 .102 .032 .245 .208 .297 .234 .156 .142 .101 .048 .053 .180 .245 .367 .164 .112 .117 .040 .021 .057 r_peak,r_snr = .1912324 6.42826 Correlation Surface of oversamples image at 746 3046 .050 .086 .142 .210 .262 .269 .214 .128 .063 .037 .068 .139 .271 .425 .487 .373 .185 .071 .034 .066 .171 .399 .674 .750 .511 .214 .073 .040 .084 .240 .566 .914 .929 .561 .210 .076 .052 .119 .323 .688 1.000 .918 .500 .180 .083 .069 .161 .378 .681 .878 .737 .373 .146 .097 .092 .200 .375 .554 .637 .498 .247 .119 .114 .125 .231 .330 .392 .406 .306 .160 .102 .125 .167 .254 .274 .262 .247 .186 .111 .092 .124 746 .188 3046 -.125 6.42826 .007818 .036176 .005639 Correlation Surface at 846 3046 .070 .001 .005 .000 .075 .020 .067 .086 .000 .019 .007 .015 .002 .247 .074 .050 .073 .001 .004 .000 .016 .168 .582 .123 .027 .023 .029 .001 .008 .010 .484 .827 .207 .001 .001 .080 .001 .005 .059 .535 1.000 .309 .008 .016 .049 .000 .005 .030 .421 .989 .250 .010 .002 .000 .010 .009 .011 .345 .740 .115 .001 .017 .034 .030 .006 .018 .310 .433 .048 .000 .033 .042 .014 .003 .017 .235 .164 .011 .000 .005 .014 r_peak,r_snr = .1504023 20.59842 Correlation Surface of oversamples image at 846 3046 .003 .085 .360 .584 .559 .330 .092 .001 .025 .005 .152 .417 .635 .659 .450 .165 .013 .006 .025 .175 .415 .681 .795 .599 .243 .032 .000 .033 .152 .385 .732 .935 .712 .278 .039 .001 .024 .111 .349 .764 1.000 .716 .247 .030 .001 .011 .079 .322 .754 .951 .609 .174 .014 .000 .005 .066 .311 .709 .812 .444 .099 .004 .001 .003 .068 .313 .643 .634 .282 .045 .000 .002 .004 .077 .322 .567 .459 .158 .018 .000 .001 846 -.031 3046 1.031 20.59843 .012153 .460662 -.016817 Correlation Surface at 946 3046 .001 .020 .055 .187 .482 .329 .099 .128 .256 .003 .004 .032 .205 .530 .264 .028 .053 .170 .004 .002 .029 .223 .596 .274 .016 .013 .065 .004 .004 .027 .250 .812 .365 .017 .000 .011 .000 .001 .014 .306 1.000 .393 .018 .000 .002 .007 .002 .003 .299 .815 .315 .034 .001 .005 .021 .003 .000 .203 .466 .276 .064 .003 .006 .012 .001 .004 .159 .343 .319 .089 .002 .001 .001 .001 .028 .210 .409 .351 .094 .000 .000 r_peak,r_snr = .2383957 14.19301 Correlation Surface of oversamples image at 946 3046 .012 .064 .189 .387 .560 .527 .303 .099 .012 .016 .072 .216 .468 .692 .641 .361 .120 .016 .019 .077 .249 .571 .838 .753 .420 .146 .021 .016 .075 .279 .666 .954 .827 .461 .169 .028 .010 .066 .298 .727 1.000 .835 .471 .185 .037 .004 .057 .303 .732 .955 .777 .457 .203 .055 .002 .051 .289 .669 .828 .677 .437 .231 .084 .001 .047 .257 .556 .664 .573 .426 .270 .122 .002 .046 .217 .430 .514 .493 .430 .312 .158 946 .063 3046 -.031 14.19301 .003795 .040749 .001325 Correlation Surface at 1046 3046 .029 .019 .008 .018 .273 .013 .018 .001 .076 .079 .009 .035 .012 .145 .002 .011 .002 .068 .106 .001 .064 .001 .171 .061 .011 .002 .025 .022 .033 .150 .001 .584 .171 .070 .019 .024 .002 .118 .272 .036 1.000 .080 .097 .002 .035 .027 .265 .373 .039 .606 .012 .004 .028 .021 .050 .330 .376 .000 .190 .043 .084 .061 .006 .040 .175 .249 .007 .128 .136 .098 .024 .016 .017 .055 .148 .001 .146 .092 .008 .005 .063 r_peak,r_snr = .1199369 16.45477 Correlation Surface of oversamples image at 1046 3046 .148 .079 .001 .046 .122 .086 .002 .050 .136 .216 .121 .001 .105 .324 .268 .028 .045 .166 .300 .143 .001 .272 .680 .476 .038 .076 .218 .375 .134 .022 .520 .995 .531 .014 .140 .257 .402 .102 .061 .673 1.000 .375 .001 .201 .236 .370 .073 .071 .572 .679 .155 .025 .189 .140 .321 .075 .027 .292 .295 .032 .039 .098 .036 .287 .115 .001 .073 .080 .003 .016 .013 .000 .279 .192 .041 .004 .019 .004 .001 .011 .038 1046 -.063 3046 -.188 16.45477 .005509 .040937 .003849 Correlation Surface at 1146 3046 .040 .040 .066 .035 .060 .046 .009 .000 .028 .030 .042 .042 .034 .130 .110 .027 .002 .004 .040 .044 .006 .038 .282 .233 .040 .007 .001 .059 .036 .000 .085 .641 .413 .038 .005 .004 .058 .026 .003 .193 1.000 .398 .009 .000 .000 .034 .019 .010 .272 .804 .146 .001 .003 .013 .015 .007 .012 .237 .325 .018 .003 .010 .038 .007 .001 .018 .163 .118 .005 .001 .008 .031 .005 .003 .039 .127 .080 .009 .012 .003 .016 r_peak,r_snr = .2022443 25.91738 Correlation Surface of oversamples image at 1146 3046 .096 .106 .158 .248 .337 .363 .271 .141 .064 .055 .082 .171 .329 .508 .554 .381 .174 .067 .028 .063 .183 .430 .721 .753 .463 .184 .058 .013 .050 .196 .537 .911 .868 .465 .155 .037 .007 .043 .212 .626 1.000 .834 .378 .098 .015 .006 .043 .234 .669 .941 .661 .245 .045 .003 .006 .047 .253 .636 .744 .424 .122 .014 .000 .007 .056 .259 .533 .495 .221 .046 .003 .000 .010 .070 .252 .404 .291 .099 .015 .001 .000 1146 .125 3046 -.063 25.91738 .005037 .030287 .004930 Correlation Surface at 1246 3046 .004 .026 .088 .194 .342 .319 .156 .062 .013 .005 .024 .085 .232 .451 .404 .157 .061 .008 .008 .019 .076 .274 .616 .491 .154 .061 .008 .008 .009 .062 .337 .855 .561 .161 .059 .012 .004 .002 .052 .414 1.000 .571 .175 .063 .018 .000 .000 .047 .422 .868 .507 .171 .063 .019 .000 .000 .048 .358 .661 .438 .166 .065 .020 .000 .001 .064 .328 .574 .421 .192 .088 .032 .000 .004 .084 .328 .548 .440 .249 .135 .047 r_peak,r_snr = .4337063 13.63798 Correlation Surface of oversamples image at 1246 3046 .120 .188 .307 .478 .620 .633 .508 .330 .201 .103 .191 .350 .581 .768 .752 .548 .321 .185 .089 .197 .397 .689 .906 .837 .558 .306 .172 .080 .201 .435 .774 .991 .859 .539 .291 .167 .073 .200 .453 .811 1.000 .824 .509 .285 .170 .067 .191 .447 .795 .942 .757 .482 .289 .178 .061 .177 .422 .733 .839 .679 .458 .294 .185 .057 .166 .389 .648 .725 .604 .435 .290 .183 .057 .164 .362 .566 .622 .536 .403 .270 .171 1246 .031 3046 -.219 13.63798 .001676 .014799 .000764 Correlation Surface at 1346 3046 .000 .037 .007 .278 .331 .201 .037 .002 .021 .008 .062 .002 .232 .382 .305 .051 .004 .022 .016 .068 .001 .187 .573 .440 .065 .003 .008 .015 .033 .006 .218 .856 .498 .079 .004 .000 .005 .001 .016 .341 1.000 .393 .066 .009 .005 .001 .001 .016 .409 .765 .156 .046 .043 .000 .016 .001 .016 .298 .292 .014 .068 .119 .022 .011 .001 .024 .142 .053 .003 .160 .187 .085 .003 .004 .047 .057 .017 .046 .268 .227 .122 r_peak,r_snr = .1569775 19.3148 Correlation Surface of oversamples image at 1346 3046 .016 .031 .166 .315 .457 .452 .199 .014 .024 .012 .020 .151 .384 .621 .551 .192 .006 .031 .007 .017 .170 .512 .813 .618 .172 .002 .028 .006 .018 .223 .685 .971 .616 .131 .000 .021 .010 .021 .300 .839 1.000 .504 .067 .001 .011 .021 .025 .359 .859 .825 .293 .010 .011 .003 .034 .026 .354 .706 .513 .094 .006 .026 .001 .044 .021 .282 .449 .210 .003 .055 .032 .014 .049 .012 .169 .195 .032 .028 .112 .025 .044 1346 -.125 3046 .469 19.31481 .013051 .123382 .022698 Correlation Surface at 1446 3046 .244 .063 .001 .014 .164 .125 .019 .011 .009 .096 .000 .004 .041 .315 .132 .008 .000 .104 .010 .002 .001 .097 .572 .215 .003 .016 .227 .009 .023 .015 .234 .929 .315 .007 .019 .178 .125 .174 .013 .294 1.000 .288 .032 .000 .067 .421 .294 .017 .146 .606 .192 .078 .008 .018 .525 .253 .065 .020 .250 .165 .109 .014 .003 .321 .173 .135 .001 .142 .202 .126 .012 .001 .147 .162 .143 .002 .116 .204 .121 .003 .014 r_peak,r_snr = .1707796 10.09878 Correlation Surface of oversamples image at 1446 3046 .000 .007 .084 .265 .413 .387 .239 .094 .020 .003 .008 .122 .373 .577 .550 .339 .127 .024 .007 .015 .183 .513 .780 .735 .436 .157 .031 .007 .028 .244 .637 .949 .867 .488 .171 .040 .004 .040 .270 .683 1.000 .870 .462 .165 .051 .003 .036 .237 .619 .895 .736 .377 .145 .062 .005 .017 .159 .469 .674 .534 .279 .126 .072 .013 .002 .081 .302 .442 .357 .208 .119 .082 .029 .003 .030 .172 .272 .241 .172 .124 .094 1446 .125 3046 -.125 10.09879 .005973 .052651 .000364 Correlation Surface at 1546 3046 .063 .074 .162 .371 .569 .528 .412 .371 .250 .061 .078 .207 .457 .590 .507 .422 .368 .273 .066 .105 .293 .534 .665 .622 .477 .373 .311 .070 .129 .347 .584 .855 .818 .536 .405 .338 .060 .128 .355 .638 1.000 .843 .554 .460 .366 .052 .132 .349 .640 .838 .670 .553 .524 .379 .063 .135 .316 .532 .560 .535 .571 .542 .357 .073 .110 .262 .411 .455 .530 .595 .500 .344 .060 .088 .216 .363 .523 .606 .593 .459 .360 r_peak,r_snr = .3795521 4.41319 Correlation Surface of oversamples image at 1546 3046 .234 .359 .470 .549 .582 .555 .490 .420 .371 .272 .406 .538 .656 .718 .687 .580 .463 .387 .317 .469 .636 .798 .877 .818 .656 .497 .404 .367 .539 .738 .925 .992 .887 .685 .510 .418 .413 .596 .802 .975 1.000 .862 .660 .500 .430 .440 .616 .797 .918 .899 .766 .601 .482 .445 .433 .585 .717 .777 .739 .643 .535 .466 .463 .396 .515 .596 .614 .587 .537 .482 .461 .486 .343 .434 .479 .484 .480 .468 .454 .470 .508 1546 .344 3046 -.156 4.41319 .007259 .018558 .002778 Correlation Surface at 1646 3046 .087 .072 .050 .007 .168 .095 .028 .138 .029 .047 .067 .082 .002 .150 .107 .007 .051 .001 .026 .050 .067 .001 .297 .279 .014 .012 .003 .027 .026 .043 .013 .780 .580 .053 .006 .004 .030 .018 .041 .061 1.000 .493 .042 .001 .003 .029 .036 .057 .050 .488 .190 .025 .001 .000 .021 .077 .089 .002 .115 .084 .011 .000 .008 .017 .116 .118 .006 .062 .095 .007 .003 .019 .039 .131 .091 .001 .092 .155 .024 .002 .012 r_peak,r_snr = .1839393 11.59552 Correlation Surface of oversamples image at 1646 3046 .051 .004 .019 .115 .197 .116 .012 .007 .038 .045 .002 .041 .223 .354 .214 .043 .000 .016 .042 .000 .101 .425 .595 .357 .092 .004 .010 .039 .003 .211 .691 .855 .487 .128 .006 .010 .035 .016 .342 .913 1.000 .527 .127 .004 .012 .029 .034 .426 .965 .943 .454 .097 .002 .011 .026 .044 .412 .818 .722 .321 .063 .001 .006 .028 .034 .307 .556 .460 .202 .043 .002 .002 .037 .014 .175 .315 .268 .133 .040 .006 .000 1646 .281 3046 -.281 11.59553 .004568 .019994 .002647 Correlation Surface at 1746 3046 .001 .001 .006 .087 .180 .072 .005 .000 .000 .004 .013 .001 .082 .162 .104 .018 .000 .001 .011 .021 .000 .073 .290 .312 .040 .001 .003 .003 .019 .001 .111 .739 .575 .035 .004 .005 .001 .025 .002 .196 1.000 .434 .013 .010 .013 .006 .040 .005 .194 .550 .166 .002 .019 .024 .013 .047 .002 .075 .160 .084 .000 .020 .029 .012 .029 .000 .011 .085 .078 .001 .015 .027 .011 .016 .001 .006 .107 .056 .001 .011 .015 r_peak,r_snr = .2961133 35.27648 Correlation Surface of oversamples image at 1746 3046 .001 .033 .096 .163 .228 .267 .238 .148 .064 .001 .031 .098 .203 .342 .426 .356 .190 .067 .001 .028 .110 .291 .547 .660 .491 .223 .065 .000 .025 .136 .429 .807 .882 .570 .221 .054 .000 .022 .173 .577 1.000 .957 .532 .178 .037 .001 .022 .206 .654 .999 .827 .397 .115 .019 .003 .022 .214 .600 .790 .569 .242 .062 .006 .003 .022 .184 .438 .500 .324 .131 .031 .001 .002 .020 .130 .259 .269 .176 .079 .019 .000 1746 .188 3046 -.375 35.27649 .002338 .007753 .001242 Correlation Surface at 1846 3046 .021 .023 .056 .138 .216 .274 .191 .045 .016 .026 .037 .070 .133 .261 .415 .218 .048 .027 .029 .044 .066 .129 .413 .557 .187 .055 .051 .027 .037 .046 .182 .737 .619 .137 .059 .071 .011 .018 .035 .317 1.000 .537 .095 .055 .080 .001 .006 .043 .437 .880 .398 .086 .052 .095 .000 .005 .070 .425 .588 .333 .105 .064 .134 .002 .011 .100 .346 .424 .336 .111 .070 .161 .008 .024 .123 .299 .408 .314 .091 .062 .134 r_peak,r_snr = .3593083 12.8324 Correlation Surface of oversamples image at 1846 3046 .090 .085 .109 .212 .393 .500 .410 .231 .112 .077 .091 .164 .360 .614 .674 .467 .219 .089 .066 .109 .248 .544 .839 .805 .476 .185 .060 .060 .137 .347 .717 .987 .833 .424 .137 .035 .060 .173 .440 .822 1.000 .740 .330 .091 .018 .067 .211 .501 .827 .876 .571 .230 .059 .010 .082 .246 .519 .743 .682 .401 .158 .044 .008 .104 .274 .502 .618 .497 .278 .121 .040 .009 .130 .296 .466 .495 .363 .212 .109 .042 .011 1846 .000 3046 .281 12.83241 .002433 .015608 .002570 Correlation Surface at 1946 3046 .312 .376 .486 .022 .004 .000 .010 .035 .027 .126 .225 .269 .000 .043 .002 .034 .035 .029 .023 .149 .184 .001 .186 .083 .008 .000 .032 .015 .132 .143 .011 .658 .434 .035 .015 .070 .029 .132 .126 .021 1.000 .743 .159 .005 .191 .038 .150 .174 .002 .707 .618 .116 .016 .301 .056 .210 .289 .006 .388 .320 .011 .114 .288 .099 .369 .373 .005 .225 .093 .005 .181 .224 .149 .483 .344 .000 .081 .019 .005 .165 .168 r_peak,r_snr = .1104256 4.35003 Correlation Surface of oversamples image at 1946 3046 .129 .001 .075 .203 .198 .072 .002 .007 .002 .097 .000 .125 .340 .369 .179 .032 .003 .006 .062 .006 .208 .549 .626 .356 .116 .044 .037 .044 .013 .292 .765 .879 .540 .230 .115 .067 .044 .014 .335 .879 1.000 .646 .319 .166 .070 .059 .009 .316 .835 .947 .641 .340 .163 .046 .086 .002 .244 .669 .770 .542 .284 .110 .016 .110 .000 .163 .479 .570 .404 .190 .050 .001 .113 .001 .103 .334 .409 .282 .112 .014 .005 1946 .344 3046 .094 4.35003 .012283 .077913 -.004788 Correlation Surface at 2046 3046 .016 .118 .225 .140 .215 .496 .001 .074 .095 .079 .368 .605 .027 .021 .062 .053 .418 .605 .154 .012 .037 .056 .657 .877 .192 .008 .018 .085 1.000 .946 .104 .011 .035 .095 .757 .505 .036 .080 .119 .055 .278 .129 .002 .276 .160 .019 .054 .033 .082 .299 .072 .004 .015 .023 r_peak,r_snr = 8.11873E-02 7.47373 Correlation Surface of oversamples image at 2046 3046 .000 .000 .031 .228 .524 .517 .141 .023 .261 .000 .002 .072 .345 .666 .585 .142 .016 .171 .006 .018 .141 .490 .827 .661 .161 .003 .082 .020 .048 .223 .634 .959 .707 .185 .001 .030 .041 .086 .295 .726 1.000 .692 .201 .009 .010 .070 .119 .324 .711 .906 .605 .193 .015 .005 .103 .132 .287 .571 .692 .464 .160 .014 .004 .140 .126 .204 .368 .448 .327 .130 .012 .003 .172 .105 .115 .191 .260 .236 .117 .014 .001 2046 13.500 3046 -2.094 7.47373 .039699 .179966 .025121 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .004 .001 .022 .054 .170 .172 .060 .036 .000 .016 .067 .193 .114 .099 .108 .069 .020 .005 .079 .221 .394 .131 .220 .329 .088 .000 .033 .127 .228 .183 .076 .715 .867 .080 .001 .033 .183 .128 .012 .049 1.000 .928 .060 .003 .023 .166 .038 .001 .054 .557 .370 .028 .011 .037 .045 .011 .022 .043 .142 .058 .007 .007 .027 .006 .022 .041 .014 .054 .028 .007 .010 .000 .012 .024 .007 .005 .114 .119 .027 .014 .004 r_peak,r_snr = .1274152 19.077 Correlation Surface of oversamples image at 146 3446 .251 .118 .080 .122 .204 .266 .264 .193 .084 .189 .064 .064 .177 .345 .413 .330 .166 .036 .088 .022 .067 .292 .576 .609 .382 .127 .012 .019 .005 .091 .457 .838 .780 .395 .090 .004 .000 .002 .135 .607 1.000 .827 .350 .062 .002 .003 .005 .182 .662 .962 .708 .258 .038 .002 .002 .015 .205 .578 .732 .475 .146 .018 .003 .000 .034 .189 .403 .438 .239 .056 .006 .002 .011 .053 .150 .240 .216 .089 .012 .001 .003 146 .563 3446 -.375 19.07701 .013304 .043977 .005250 Correlation Surface at 246 3446 .006 .007 .081 .375 .527 .238 .053 .000 .006 .002 .001 .108 .401 .493 .257 .083 .000 .000 .003 .005 .135 .415 .618 .354 .107 .000 .005 .000 .009 .111 .480 .910 .453 .091 .000 .022 .001 .002 .061 .523 1.000 .403 .035 .005 .049 .001 .001 .025 .506 .916 .322 .003 .038 .080 .002 .003 .012 .503 .944 .290 .000 .061 .078 .011 .000 .031 .583 .977 .233 .001 .025 .029 .023 .012 .107 .629 .734 .155 .008 .002 .001 r_peak,r_snr = .2029993 12.15468 Correlation Surface of oversamples image at 246 3446 .007 .065 .266 .652 .989 .919 .550 .225 .055 .001 .048 .257 .662 .984 .898 .548 .225 .042 .000 .034 .242 .661 .978 .907 .580 .234 .033 .001 .027 .232 .660 .993 .955 .626 .236 .023 .001 .025 .227 .650 1.000 .981 .622 .203 .012 .000 .032 .226 .623 .958 .917 .527 .140 .004 .007 .061 .262 .629 .909 .807 .414 .095 .003 246 -.281 3446 -.313 12.15469 .008335 .266470 .014474 Correlation Surface at 346 3446 .241 .339 .468 .684 .909 .723 .514 .591 .616 .257 .340 .491 .751 .944 .718 .561 .611 .564 .266 .346 .526 .782 .968 .744 .616 .575 .545 .267 .361 .539 .810 .998 .812 .659 .556 .570 .247 .345 .512 .799 1.000 .888 .713 .600 .624 .199 .284 .439 .716 .938 .917 .758 .645 .674 .165 .250 .390 .635 .869 .893 .737 .635 .690 .175 .260 .398 .619 .833 .864 .686 .598 .669 .179 .254 .390 .598 .827 .845 .654 .540 .615 r_peak,r_snr = .4257081 2.69558 Correlation Surface of oversamples image at 346 3446 .433 .522 .641 .768 .858 .867 .778 .645 .545 .436 .539 .669 .803 .895 .898 .804 .673 .572 .443 .557 .699 .844 .941 .938 .841 .709 .602 .451 .573 .726 .882 .982 .977 .880 .746 .631 .453 .576 .735 .897 1.000 .999 .906 .775 .657 .438 .556 .713 .875 .983 .993 .915 .797 .681 .406 .514 .662 .820 .933 .960 .908 .810 .702 .368 .465 .602 .752 .865 .911 .888 .812 .713 .341 .432 .559 .698 .806 .864 .863 .804 .712 346 -.219 3446 .750 2.69558 .024366 .328225 -.063526 Correlation Surface at 546 3446 .006 .073 .141 .334 .525 .314 .025 .010 .013 .007 .041 .080 .351 .623 .290 .014 .016 .005 .000 .005 .041 .397 .753 .320 .008 .007 .000 .004 .002 .029 .463 .911 .362 .010 .000 .000 .024 .025 .018 .512 1.000 .358 .034 .003 .005 .049 .048 .018 .575 .867 .321 .085 .007 .012 .037 .027 .066 .567 .615 .302 .128 .009 .013 .012 .001 .131 .466 .479 .284 .114 .002 .028 .013 .000 .093 .380 .406 .199 .043 .012 .059 r_peak,r_snr = .1824742 12.83646 Correlation Surface of oversamples image at 546 3446 .021 .114 .360 .707 .857 .644 .305 .082 .003 .011 .104 .375 .754 .908 .683 .337 .104 .011 .006 .106 .411 .815 .951 .712 .370 .135 .029 .005 .126 .476 .890 .985 .733 .405 .176 .059 .010 .170 .568 .960 1.000 .750 .447 .229 .107 .027 .241 .662 .985 .968 .742 .482 .283 .161 .063 .329 .722 .940 .895 .722 .511 .328 .202 .123 .419 .734 .860 .830 .720 .539 .354 .218 .190 .473 .698 .781 .788 .718 .535 .337 .193 546 -.219 3446 1.625 12.83646 .008860 .209821 .009975 Correlation Surface at 646 3446 .095 .118 .175 .372 .501 .345 .104 .046 .052 .210 .222 .277 .446 .572 .271 .054 .027 .104 .282 .272 .285 .444 .640 .256 .034 .050 .152 .291 .349 .283 .528 .815 .275 .039 .146 .139 .288 .485 .319 .665 1.000 .330 .109 .234 .068 .259 .449 .359 .800 .990 .371 .206 .160 .026 .143 .224 .411 .817 .807 .318 .166 .054 .027 .053 .108 .541 .781 .640 .195 .092 .026 .054 .014 .081 .585 .867 .500 .094 .060 .039 .108 r_peak,r_snr = .1379669 8.58162 Correlation Surface of oversamples image at 646 3446 .194 .137 .135 .254 .437 .475 .343 .141 .019 .183 .115 .132 .309 .580 .660 .474 .183 .028 .190 .111 .150 .399 .759 .845 .564 .202 .040 .209 .127 .198 .521 .922 .944 .567 .194 .057 .236 .165 .281 .653 1.000 .905 .490 .176 .085 .253 .217 .382 .737 .940 .744 .378 .161 .119 .244 .265 .464 .722 .760 .541 .281 .153 .146 .212 .293 .494 .617 .549 .379 .223 .149 .146 .176 .298 .466 .491 .400 .290 .193 .134 .112 646 .688 3446 -6.625 8.58162 .018503 .489938 .019039 Correlation Surface at 746 3446 .065 .022 .000 .141 .318 .027 .071 .047 .000 .066 .003 .007 .104 .312 .072 .008 .007 .001 .075 .004 .001 .055 .414 .246 .015 .000 .005 .068 .004 .001 .151 .703 .483 .057 .002 .030 .028 .005 .001 .392 1.000 .515 .084 .009 .024 .019 .009 .022 .491 .934 .329 .118 .027 .011 .061 .001 .057 .428 .599 .225 .159 .015 .010 .114 .007 .061 .300 .326 .261 .122 .002 .014 .079 .001 .030 .136 .182 .274 .016 .037 .017 r_peak,r_snr = .1364385 8.75308 Correlation Surface of oversamples image at 746 3446 .006 .000 .045 .230 .384 .344 .168 .030 .001 .011 .000 .067 .323 .539 .502 .268 .069 .016 .015 .001 .128 .484 .752 .680 .357 .106 .045 .021 .008 .215 .655 .936 .782 .379 .125 .076 .023 .020 .289 .758 1.000 .754 .332 .125 .098 .021 .030 .307 .740 .906 .610 .251 .115 .105 .018 .030 .270 .619 .697 .422 .175 .103 .101 .013 .025 .214 .457 .467 .265 .130 .100 .093 .008 .023 .163 .309 .284 .172 .119 .112 .084 746 .000 3446 3.938 8.75308 .023248 .178158 .036435 Correlation Surface at 846 3446 .024 .348 1.465 1.648 .373 .051 .214 .187 .018 .414 1.234 .951 .118 .265 .258 .110 .011 .326 .675 .381 .034 .561 .255 .001 .008 .143 .284 .015 .685 .708 .161 .054 .030 .159 .145 .104 1.000 .381 .018 .110 .204 .480 .152 .084 .306 .060 .025 .076 .410 .767 .368 .048 .009 .000 .110 .011 .306 .696 .860 .487 .000 .001 .067 .006 .170 .603 1.322 .631 .035 .006 .002 .039 r_peak,r_snr = 7.56297E-02 4.90997 Correlation Surface of oversamples image at 846 3446 .591 .321 .138 .004 .096 .223 .162 .101 .082 .351 .174 .046 .019 .257 .365 .226 .107 .041 .201 .071 .000 .169 .552 .559 .299 .101 .010 .102 .009 .066 .482 .874 .705 .338 .087 .000 .043 .006 .240 .785 1.000 .697 .323 .072 .001 .016 .044 .395 .847 .849 .554 .273 .065 .000 .009 .068 .397 .647 .560 .385 .226 .069 .003 .024 .035 .231 .337 .295 .252 .178 .062 .010 .097 .000 .048 .103 .133 .162 .117 .034 .009 846 13.406 3446 -5.969 4.90997 .029399 .072360 .024501 Correlation Surface at 946 3446 .008 .016 .018 .000 .003 .036 .069 .002 .100 .040 .066 .014 .002 .011 .005 .057 .001 .064 .119 .103 .006 .044 .234 .056 .014 .014 .032 .126 .059 .000 .098 .794 .258 .001 .061 .034 .040 .009 .008 .060 1.000 .274 .010 .096 .025 .005 .001 .023 .030 .683 .171 .004 .075 .011 .013 .003 .014 .053 .511 .198 .007 .031 .009 .079 .008 .006 .117 .661 .363 .017 .015 .007 .128 .001 .005 .175 .833 .413 .014 .017 .002 r_peak,r_snr = .1245453 11.78412 Correlation Surface of oversamples image at 946 3446 .466 .323 .004 .710 1.705 1.653 .845 .213 .035 .346 .145 .075 1.050 2.225 2.227 1.162 .262 .021 .227 .033 .244 1.525 2.889 2.789 1.367 .258 .007 .118 .000 .510 2.106 3.570 3.214 1.475 .260 .006 946 .125 3446 3.813 11.78412 .006771 .087673 -.000945 Correlation Surface at 1046 3446 .133 .010 .029 .024 .154 .028 .001 .030 .106 .145 .013 .005 .026 .041 .000 .000 .015 .021 .116 .041 .003 .031 .080 .039 .005 .001 .001 .102 .067 .009 .084 .488 .337 .030 .000 .001 .083 .048 .007 .220 1.000 .457 .012 .004 .014 .035 .015 .007 .262 .748 .152 .001 .006 .000 .002 .001 .005 .118 .249 .016 .000 .001 .024 .005 .000 .004 .033 .080 .017 .020 .001 .042 .011 .011 .019 .043 .086 .069 .072 .003 .011 r_peak,r_snr = .1493985 18.08119 Correlation Surface of oversamples image at 1046 3446 .036 .081 .124 .122 .100 .082 .067 .054 .039 .060 .116 .186 .229 .250 .243 .190 .118 .055 .066 .139 .271 .417 .521 .501 .344 .164 .049 .058 .155 .376 .657 .828 .732 .422 .146 .025 .043 .170 .475 .844 1.000 .778 .356 .077 .003 .035 .184 .522 .871 .937 .618 .205 .018 .002 .033 .185 .478 .722 .692 .369 .073 .000 .016 .030 .159 .358 .489 .409 .162 .010 .011 .025 .025 .117 .228 .283 .199 .050 .000 .020 .020 1046 -.063 3446 .125 18.08119 .009406 .028872 .004807 Correlation Surface at 1146 3446 .153 .187 .205 .331 .429 .418 .321 .259 .176 .145 .163 .238 .373 .509 .525 .386 .291 .227 .132 .169 .287 .438 .655 .618 .400 .316 .303 .131 .185 .285 .533 .867 .673 .398 .348 .347 .130 .168 .254 .648 1.000 .674 .386 .344 .324 .112 .136 .255 .652 .874 .596 .340 .294 .272 .089 .128 .260 .508 .638 .495 .307 .267 .250 .085 .132 .221 .378 .524 .475 .333 .284 .255 .097 .124 .189 .362 .557 .552 .374 .300 .247 r_peak,r_snr = .4097694 4.05852 Correlation Surface of oversamples image at 1146 3446 .214 .298 .428 .604 .746 .767 .677 .557 .447 .213 .316 .485 .701 .852 .842 .711 .560 .431 .212 .341 .553 .800 .943 .891 .722 .548 .408 .213 .375 .623 .879 .997 .908 .716 .531 .390 .223 .412 .674 .914 1.000 .890 .696 .512 .377 .242 .441 .685 .892 .952 .842 .663 .488 .365 .264 .447 .651 .822 .870 .778 .621 .464 .355 .277 .425 .586 .732 .780 .714 .585 .448 .353 .271 .381 .514 .646 .702 .663 .559 .442 .358 1146 -.031 3446 -.219 4.05852 .003905 .020140 .002127 Correlation Surface at 1246 3446 .140 .078 .069 .243 .374 .198 .134 .153 .059 .118 .028 .069 .244 .383 .229 .156 .128 .052 .054 .018 .084 .244 .493 .373 .190 .095 .037 .031 .034 .077 .280 .813 .579 .201 .066 .018 .034 .033 .049 .373 1.000 .542 .183 .047 .008 .040 .014 .042 .382 .656 .337 .143 .040 .010 .033 .007 .056 .234 .322 .199 .106 .053 .022 .023 .014 .068 .126 .252 .159 .105 .082 .034 .021 .033 .070 .123 .271 .184 .150 .104 .029 r_peak,r_snr = .2831476 13.35603 Correlation Surface of oversamples image at 1246 3446 .063 .127 .243 .414 .563 .578 .490 .388 .309 .075 .140 .269 .486 .690 .710 .578 .421 .307 .085 .152 .305 .586 .842 .837 .635 .423 .291 .088 .161 .352 .699 .966 .902 .634 .400 .274 .086 .170 .401 .780 1.000 .867 .580 .367 .261 .081 .180 .432 .776 .909 .748 .500 .331 .249 .076 .183 .415 .667 .725 .594 .417 .294 .231 .074 .178 .352 .502 .532 .461 .350 .261 .212 .077 .161 .266 .347 .387 .369 .300 .233 .196 1246 .094 3446 -.156 13.35603 .003974 .014404 .001926 Correlation Surface at 1346 3446 .160 .121 .106 .242 .249 .160 .122 .118 .057 .139 .095 .106 .174 .132 .098 .106 .132 .062 .126 .083 .078 .093 .137 .222 .137 .160 .083 .138 .084 .047 .100 .454 .546 .165 .179 .085 .147 .076 .033 .224 1.000 .622 .141 .138 .049 .117 .058 .042 .356 .947 .350 .097 .068 .052 .083 .049 .053 .291 .474 .188 .084 .057 .128 .069 .039 .045 .150 .252 .197 .109 .094 .216 .050 .018 .022 .079 .208 .254 .146 .129 .217 r_peak,r_snr = .2207806 10.85157 Correlation Surface of oversamples image at 1346 3446 .011 .012 .019 .041 .076 .088 .061 .039 .048 .002 .005 .028 .116 .237 .245 .138 .062 .048 .000 .007 .080 .312 .535 .452 .202 .065 .034 .000 .020 .199 .614 .854 .585 .204 .044 .014 .001 .055 .363 .882 1.000 .557 .150 .019 .002 .004 .098 .478 .941 .879 .400 .083 .005 .000 .008 .119 .462 .753 .583 .222 .037 .001 .001 .009 .102 .332 .456 .303 .105 .018 .001 .000 .006 .057 .171 .214 .138 .057 .017 .003 .000 1346 .281 3446 .156 10.85157 .005775 .018715 .003594 Correlation Surface at 1446 3446 .409 .489 .559 .621 .738 .660 .474 .451 .407 .429 .480 .606 .712 .815 .694 .486 .446 .370 .426 .512 .685 .769 .863 .739 .525 .446 .345 .428 .547 .663 .741 .924 .798 .527 .433 .354 .443 .519 .547 .688 1.000 .798 .474 .445 .389 .465 .456 .436 .645 .993 .709 .460 .501 .425 .492 .412 .386 .623 .910 .664 .529 .542 .425 .505 .395 .403 .673 .885 .681 .560 .479 .411 .482 .396 .481 .790 .877 .634 .485 .380 .431 r_peak,r_snr = .4463232 2.46641 Correlation Surface of oversamples image at 1446 3446 .587 .657 .763 .860 .888 .810 .672 .537 .436 .563 .643 .763 .876 .918 .835 .675 .519 .418 .540 .630 .764 .900 .955 .863 .678 .510 .419 .525 .619 .762 .920 .990 .888 .688 .523 .450 .512 .598 .744 .920 1.000 .897 .703 .557 .508 .491 .564 .709 .892 .975 .884 .718 .604 .577 .463 .527 .669 .847 .928 .860 .732 .650 .634 .436 .496 .636 .803 .879 .832 .739 .678 .654 .414 .480 .621 .776 .840 .803 .730 .670 .623 1446 -.031 3446 -.156 2.46641 .004636 .120982 -.000854 Correlation Surface at 1546 3446 .018 .082 .146 .252 .384 .400 .296 .169 .061 .015 .069 .140 .257 .392 .419 .285 .149 .064 .014 .062 .146 .311 .535 .552 .325 .159 .070 .012 .061 .164 .445 .835 .729 .365 .173 .078 .008 .058 .176 .567 1.000 .727 .350 .180 .100 .005 .047 .169 .541 .815 .565 .299 .185 .117 .003 .039 .143 .418 .578 .440 .239 .160 .104 .003 .040 .127 .338 .493 .394 .195 .130 .089 .005 .051 .123 .302 .473 .385 .213 .140 .087 r_peak,r_snr = .4524564 10.25992 Correlation Surface of oversamples image at 1546 3446 .132 .194 .294 .426 .544 .582 .509 .388 .272 .141 .236 .389 .576 .717 .725 .595 .435 .301 .155 .289 .498 .735 .887 .851 .664 .476 .336 .171 .338 .589 .856 .994 .910 .691 .501 .369 .182 .366 .632 .897 1.000 .883 .669 .506 .388 .182 .363 .616 .847 .907 .785 .612 .489 .388 .169 .331 .549 .728 .755 .654 .536 .452 .363 .147 .282 .458 .589 .600 .535 .466 .404 .320 .121 .232 .371 .467 .481 .453 .412 .352 .265 1546 .000 3446 -.219 10.25993 .002815 .008947 .001241 Correlation Surface at 1646 3446 .000 .030 .083 .190 .287 .184 .098 .088 .049 .003 .042 .078 .185 .340 .253 .152 .104 .054 .006 .042 .066 .247 .538 .436 .188 .099 .054 .008 .035 .073 .386 .885 .598 .178 .085 .056 .013 .032 .095 .475 1.000 .577 .169 .086 .063 .019 .039 .100 .395 .751 .475 .173 .089 .065 .023 .042 .089 .273 .486 .373 .152 .072 .047 .014 .042 .101 .217 .341 .256 .102 .044 .032 .006 .061 .141 .213 .262 .168 .066 .037 .037 r_peak,r_snr = .3619937 16.11136 Correlation Surface of oversamples image at 1646 3446 .163 .221 .314 .426 .509 .508 .415 .295 .200 .139 .213 .344 .508 .640 .651 .518 .340 .207 .122 .217 .392 .618 .801 .802 .600 .357 .200 .114 .229 .445 .729 .944 .905 .629 .350 .190 .111 .236 .475 .791 1.000 .907 .601 .331 .183 .105 .226 .462 .766 .937 .822 .545 .315 .185 .097 .201 .409 .666 .797 .705 .496 .316 .199 .086 .169 .335 .533 .640 .598 .466 .328 .220 .078 .145 .272 .417 .511 .518 .447 .338 .233 1646 .125 3446 -.594 16.11136 .002845 .014837 .000767 Correlation Surface at 1746 3446 .019 .002 .009 .029 .214 .106 .088 .066 .044 .029 .021 .030 .049 .375 .339 .281 .183 .159 .006 .040 .013 .124 .588 .642 .326 .240 .168 .008 .007 .007 .265 .930 .642 .179 .159 .057 .031 .001 .094 .447 1.000 .297 .040 .065 .017 .006 .001 .183 .526 .582 .091 .005 .048 .044 .013 .000 .170 .426 .270 .083 .002 .036 .099 .023 .001 .070 .225 .262 .135 .000 .012 .123 .002 .014 .007 .121 .267 .074 .000 .013 .129 r_peak,r_snr = .121569 12.8831 Correlation Surface of oversamples image at 1746 3446 .035 .000 .053 .236 .427 .501 .461 .386 .316 .025 .000 .080 .316 .582 .713 .639 .473 .334 .008 .008 .125 .422 .763 .895 .708 .435 .265 .000 .034 .194 .550 .927 .966 .630 .306 .155 .016 .084 .281 .672 1.000 .884 .455 .164 .061 .054 .150 .371 .745 .940 .685 .274 .065 .011 .098 .219 .448 .741 .770 .466 .148 .018 .000 .132 .274 .484 .654 .558 .296 .085 .004 .006 .150 .305 .476 .530 .392 .212 .070 .002 .010 1746 .188 3446 -.688 12.88311 .025467 .139014 .039313 Correlation Surface at 1846 3446 .007 .014 .024 .080 .178 .106 .032 .018 .035 .007 .012 .021 .088 .185 .144 .048 .034 .055 .004 .006 .019 .100 .330 .319 .092 .055 .053 .001 .004 .024 .180 .751 .538 .114 .052 .037 .001 .005 .035 .318 1.000 .470 .084 .035 .023 .001 .005 .039 .310 .638 .253 .053 .021 .017 .001 .004 .025 .153 .280 .150 .037 .017 .017 .000 .003 .010 .064 .165 .118 .033 .020 .018 .000 .003 .005 .043 .134 .104 .041 .021 .015 r_peak,r_snr = .4860319 31.7599 Correlation Surface of oversamples image at 1846 3446 .038 .064 .112 .188 .275 .299 .221 .110 .046 .040 .075 .151 .294 .460 .481 .314 .134 .049 .047 .099 .226 .472 .713 .668 .375 .137 .043 .057 .134 .333 .683 .936 .763 .369 .118 .033 .069 .175 .437 .831 1.000 .708 .302 .089 .023 .080 .206 .489 .829 .872 .547 .217 .063 .015 .084 .209 .455 .682 .639 .374 .148 .045 .010 .079 .183 .357 .480 .420 .247 .106 .034 .007 .068 .140 .245 .308 .272 .177 .086 .029 .006 1846 -.063 3446 -.063 31.75991 .000989 .002922 .000421 Correlation Surface at 1946 3446 .000 .000 .002 .091 .181 .131 .028 .000 .001 .045 .260 .371 .131 .074 .061 .149 .766 .518 .415 .374 .248 .448 1.000 .271 .747 .327 .192 .521 .582 .113 .552 .035 .082 .340 .339 .185 .122 .009 .121 .300 .474 .450 .002 .004 .242 .419 .799 .577 r_peak,r_snr = 8.55906E-02 6.79814 Correlation Surface of oversamples image at 1946 3446 .031 .392 1.312 2.306 2.565 1.928 1.112 .624 .596 .002 .350 1.258 2.340 3.024 2.671 1.698 .948 .776 .002 .368 1.231 2.407 3.404 3.170 2.044 1.129 .807 .047 .517 1.385 2.693 3.818 3.490 2.257 1.344 .911 1946 13.094 3446 -8.188 6.79814 .040663 .157124 .046680 Correlation Surface at 2046 3446 .169 .309 .320 .285 .259 .341 .368 .132 .318 .281 .299 .404 .427 .413 .150 .363 .338 .464 .625 .555 .382 .207 .393 .417 .633 .868 .623 .265 .295 .358 .315 .689 1.000 .511 .222 .389 .239 .219 .720 .843 .397 .363 r_peak,r_snr = .1451208 4.796 Correlation Surface of oversamples image at 2046 3446 .508 .484 .449 .459 .551 .487 .443 .425 .488 .653 .426 .393 .420 .556 .786 .371 .376 .463 .669 .916 .367 .423 .569 .808 1.000 .419 .529 .707 .908 .993 .514 .659 .808 .908 .892 .603 .743 .811 .804 .746 .632 .736 .719 .655 .614 2046 15.719 3446 13.469 4.79600 .031598 .227710 .034066 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .091 .039 .013 .021 .115 .095 .025 .018 .040 .044 .004 .002 .016 .173 .170 .034 .012 .043 .007 .001 .003 .064 .373 .344 .021 .002 .015 .001 .000 .010 .180 .736 .458 .005 .002 .000 .016 .008 .038 .273 1.000 .401 .012 .000 .000 .053 .020 .041 .270 .857 .352 .103 .048 .013 .032 .015 .034 .175 .433 .304 .251 .219 .103 .001 .002 .014 .051 .137 .197 .213 .252 .185 .004 .005 .000 .006 .057 .105 .059 .094 .105 r_peak,r_snr = .1775307 18.48682 Correlation Surface of oversamples image at 146 3846 .016 .087 .230 .426 .618 .643 .403 .118 .007 .033 .132 .310 .559 .790 .765 .427 .112 .005 .052 .171 .381 .680 .924 .825 .422 .109 .008 .064 .190 .424 .765 .998 .834 .415 .123 .022 .065 .188 .434 .793 1.000 .807 .419 .160 .059 .060 .172 .409 .746 .913 .735 .419 .211 .122 .053 .150 .354 .625 .746 .616 .397 .252 .192 .046 .125 .276 .458 .536 .463 .339 .259 .234 .037 .094 .186 .284 .328 .305 .253 .223 .226 146 .031 3846 .250 18.48682 .006629 .067846 .004359 Correlation Surface at 246 3846 .006 .022 .119 .358 .505 .508 .350 .112 .037 .005 .040 .208 .475 .583 .551 .395 .093 .029 .008 .058 .246 .558 .702 .682 .387 .085 .032 .007 .040 .213 .617 .898 .721 .274 .096 .037 .002 .014 .160 .651 1.000 .615 .203 .110 .044 .001 .009 .128 .594 .943 .560 .214 .113 .050 .008 .020 .101 .514 .880 .567 .233 .101 .046 .035 .023 .066 .490 .855 .551 .201 .064 .028 .043 .004 .046 .448 .733 .448 .130 .029 .015 r_peak,r_snr = .2607042 10.10269 Correlation Surface of oversamples image at 246 3846 .258 .439 .602 .669 .670 .668 .635 .502 .298 .257 .449 .625 .723 .770 .778 .687 .485 .272 .237 .436 .635 .786 .881 .868 .694 .440 .246 .203 .405 .635 .843 .969 .907 .659 .388 .228 .165 .364 .618 .869 1.000 .890 .607 .349 .220 .130 .317 .579 .845 .969 .841 .564 .330 .220 .101 .266 .519 .784 .905 .790 .539 .327 .221 .079 .220 .460 .720 .843 .751 .528 .330 .218 .062 .185 .417 .674 .798 .721 .519 .329 .210 246 .031 3846 -3.031 10.10269 .009901 .169667 .010517 Correlation Surface at 346 3846 .001 .025 .237 .609 .881 .536 .217 .092 .131 .006 .061 .296 .694 .848 .449 .172 .086 .111 .022 .116 .316 .688 .841 .434 .157 .113 .141 .060 .145 .272 .598 .932 .469 .171 .166 .216 .100 .136 .194 .535 1.000 .488 .207 .223 .267 .088 .079 .171 .522 .901 .490 .224 .210 .201 .050 .050 .232 .523 .789 .479 .198 .145 .108 .035 .084 .306 .494 .787 .444 .128 .092 .090 .031 .174 .345 .510 .840 .372 .083 .097 .178 r_peak,r_snr = .215744 4.26223 Correlation Surface of oversamples image at 346 3846 .145 .254 .377 .564 .773 .846 .710 .491 .293 .163 .262 .400 .626 .851 .893 .715 .465 .254 .180 .273 .437 .705 .932 .935 .714 .437 .218 .191 .284 .476 .769 .985 .952 .701 .404 .186 .196 .290 .497 .794 1.000 .951 .681 .370 .161 .196 .287 .488 .778 .988 .938 .654 .338 .144 .195 .272 .452 .735 .958 .911 .618 .312 .142 .191 .248 .407 .685 .915 .868 .580 .302 .157 .179 .221 .369 .636 .856 .806 .546 .311 .189 346 -.344 3846 4.219 4.26223 .008336 .245679 -.008164 Correlation Surface at 446 3846 .027 .484 .071 .080 .076 .000 .045 .032 .002 .218 .713 .079 .080 .043 .056 .123 .026 .022 .235 .436 .002 .088 .160 .398 .241 .055 .151 .107 .085 .071 .193 .635 .841 .326 .190 .340 .003 .012 .191 .384 1.000 .852 .464 .395 .317 .034 .106 .122 .387 .675 .560 .466 .287 .117 .039 .033 .016 .166 .267 .248 .138 .069 .023 .005 .000 .001 .020 .121 .027 .001 .015 .039 .005 .005 .008 .002 .047 .022 .020 .057 .089 r_peak,r_snr = 9.24168E-02 9.30006 Correlation Surface of oversamples image at 446 3846 .034 .075 .072 .099 .185 .289 .310 .219 .125 .101 .133 .150 .249 .435 .563 .483 .284 .166 .173 .198 .268 .474 .750 .837 .624 .358 .250 .228 .258 .396 .690 .974 .968 .684 .435 .375 .253 .302 .495 .805 1.000 .917 .668 .505 .510 .239 .311 .519 .763 .851 .755 .595 .523 .572 .177 .254 .430 .588 .620 .552 .457 .432 .484 .095 .153 .279 .390 .422 .374 .289 .260 .289 .030 .059 .144 .247 .296 .239 .138 .095 .105 446 .688 3846 3.719 9.30006 .075858 .105010 .033745 Correlation Surface at 546 3846 .155 .105 .011 .077 .213 .086 .046 .021 .000 .103 .173 .009 .015 .000 .003 .161 .180 .005 .136 .015 .056 .364 .484 .157 .239 .034 .128 .594 1.000 .486 .236 .036 .072 .509 .863 .408 .112 .033 .011 .188 .226 .118 .024 .050 .003 .009 .007 .000 .007 .020 .011 .051 .327 .083 r_peak,r_snr = 8.90762E-02 7.31862 Correlation Surface of oversamples image at 546 3846 .003 .003 .042 .106 .153 .143 .087 .041 .021 .000 .018 .104 .248 .377 .360 .205 .074 .025 .001 .047 .210 .472 .696 .631 .330 .103 .030 .001 .075 .314 .681 .956 .814 .395 .115 .035 .000 .083 .353 .746 1.000 .802 .367 .106 .037 .000 .071 .305 .626 .800 .609 .267 .083 .039 .001 .051 .208 .399 .477 .339 .144 .054 .040 .002 .030 .108 .179 .186 .114 .047 .029 .044 .002 .011 .033 .038 .023 .006 .002 .011 .047 546 13.063 3846 -7.688 7.31862 .055295 .105530 -.010555 Correlation Surface at 646 3846 .078 .100 .254 .341 .208 .019 .004 .007 .053 .116 .193 .215 .318 .297 .080 .000 .001 .034 .096 .211 .114 .299 .600 .229 .000 .001 .005 .120 .186 .076 .453 .996 .305 .003 .005 .001 .143 .087 .085 .621 1.000 .254 .003 .002 .014 .070 .012 .097 .502 .724 .164 .000 .002 .064 .020 .008 .086 .303 .466 .103 .017 .012 .087 .039 .058 .081 .226 .303 .097 .057 .006 .057 .131 .119 .082 .209 .185 .110 .051 .000 .030 r_peak,r_snr = .1484405 10.28671 Correlation Surface of oversamples image at 646 3846 .086 .138 .238 .340 .365 .278 .125 .022 .000 .048 .109 .265 .469 .574 .457 .196 .030 .001 .029 .113 .348 .660 .808 .609 .238 .026 .005 .026 .151 .477 .859 .978 .674 .230 .015 .014 .033 .214 .597 .964 1.000 .622 .175 .003 .026 .050 .274 .644 .930 .887 .496 .107 .000 .036 .070 .297 .591 .781 .705 .359 .055 .005 .037 .079 .262 .458 .580 .512 .237 .022 .011 .029 .075 .198 .319 .408 .359 .148 .007 .010 .013 646 -.188 3846 .438 10.28672 .013141 .202803 .015602 Correlation Surface at 746 3846 .230 .281 .289 .598 .971 .389 .000 .070 .016 .276 .194 .210 .660 .789 .154 .024 .180 .087 .272 .146 .173 .687 .733 .117 .024 .162 .103 .239 .099 .155 .783 .913 .212 .001 .041 .051 .129 .032 .156 .896 1.000 .374 .077 .000 .002 .033 .015 .253 .877 .819 .504 .164 .048 .028 .025 .073 .463 .702 .658 .475 .174 .136 .097 .051 .185 .483 .531 .530 .275 .140 .151 .075 .049 .190 .327 .404 .384 .138 .121 .089 .016 r_peak,r_snr = .1442158 7.11379 Correlation Surface of oversamples image at 746 3846 1.189 1.432 2.212 3.352 4.000 3.423 1.934 .564 .027 .981 1.369 2.281 3.317 3.540 2.633 1.276 .290 .002 .849 1.354 2.312 3.105 2.945 1.941 .831 .150 .002 .734 1.300 2.202 2.757 2.415 1.491 .611 .103 .008 .622 1.186 2.007 2.452 2.126 1.341 .585 .115 .004 746 -.031 3846 -2.813 7.11379 .033769 .265112 -.037898 Correlation Surface at 846 3846 .096 .005 .061 .076 .169 .622 .290 .079 .021 .163 .007 .004 .004 .234 .518 .214 .026 .012 .075 .000 .033 .013 .339 .499 .111 .002 .001 .044 .001 .086 .002 .679 .493 .050 .002 .016 .125 .035 .034 .182 1.000 .372 .035 .008 .040 .250 .063 .000 .447 .665 .106 .029 .006 .001 .168 .036 .001 .259 .077 .001 .019 .133 .027 .023 .018 .005 .018 .013 .028 .066 .309 .048 .000 .004 .009 .001 .002 .007 .325 .256 .011 r_peak,r_snr = .1057191 8.46813 Correlation Surface of oversamples image at 846 3846 .171 .226 .040 .078 .484 .781 .635 .290 .095 .210 .188 .006 .173 .635 .855 .577 .203 .049 .192 .098 .010 .343 .814 .880 .470 .122 .022 .129 .017 .107 .589 .968 .799 .313 .056 .009 .054 .009 .321 .857 1.000 .585 .146 .017 .007 .008 .090 .564 .989 .815 .287 .026 .001 .009 .001 .195 .697 .902 .494 .064 .003 .004 .015 .008 .239 .653 .658 .208 .000 .052 .012 .034 .006 .191 .477 .385 .051 .037 .094 .009 .078 846 -2.219 3846 -4.344 8.46813 .025996 .120776 .039347 Correlation Surface at 946 3846 .081 .144 .090 .030 .069 .041 .000 .006 .000 .119 .244 .066 .030 .088 .006 .065 .009 .002 .133 .312 .021 .084 .255 .010 .056 .005 .002 .139 .336 .011 .235 .754 .065 .009 .007 .000 .135 .281 .020 .326 1.000 .132 .004 .000 .007 .096 .157 .013 .208 .576 .145 .042 .013 .032 .046 .050 .000 .091 .271 .155 .062 .020 .063 .023 .009 .010 .117 .266 .128 .014 .000 .104 .017 .001 .059 .313 .327 .061 .012 .001 .146 r_peak,r_snr = .1373125 18.0854 Correlation Surface of oversamples image at 946 3846 .031 .006 .078 .160 .179 .095 .006 .023 .065 .024 .016 .135 .284 .327 .175 .016 .018 .051 .022 .027 .210 .471 .560 .312 .045 .004 .025 .025 .033 .288 .690 .828 .469 .093 .001 .007 .032 .034 .345 .852 1.000 .560 .135 .012 .000 .036 .032 .350 .857 .961 .526 .150 .032 .005 .032 .028 .298 .697 .741 .405 .148 .063 .024 .020 .023 .210 .461 .476 .280 .148 .103 .058 .007 .019 .126 .261 .279 .198 .154 .139 .090 946 -.156 3846 -.313 18.08540 .007203 .043303 -.001996 Correlation Surface at 1046 3846 .039 .019 .018 .059 .095 .168 .003 .079 .033 .099 .049 .022 .047 .112 .083 .016 .076 .019 .139 .050 .009 .075 .239 .108 .006 .045 .000 .091 .010 .006 .172 .644 .309 .007 .001 .026 .032 .001 .004 .248 1.000 .413 .064 .094 .030 .000 .015 .002 .281 .734 .192 .096 .113 .000 .037 .043 .003 .248 .225 .011 .022 .034 .007 .055 .039 .009 .117 .012 .016 .001 .009 .000 .021 .017 .001 .005 .001 .000 .020 .015 .029 r_peak,r_snr = .1395169 19.00145 Correlation Surface of oversamples image at 1046 3846 .001 .029 .112 .185 .182 .110 .021 .007 .092 .000 .031 .142 .267 .311 .229 .078 .001 .039 .001 .032 .181 .400 .545 .451 .193 .023 .005 .004 .029 .212 .555 .820 .688 .306 .061 .003 .009 .022 .234 .685 1.000 .786 .334 .082 .025 .015 .018 .256 .741 .974 .676 .260 .072 .051 .019 .021 .277 .690 .761 .438 .140 .042 .059 .014 .032 .280 .549 .477 .208 .046 .014 .043 .005 .048 .251 .376 .241 .067 .005 .001 .021 1046 .031 3846 .156 19.00146 .010174 .050106 .004492 Correlation Surface at 1146 3846 .029 .007 .025 .102 .179 .077 .030 .021 .031 .002 .000 .028 .197 .331 .175 .032 .000 .009 .003 .001 .041 .229 .523 .334 .017 .003 .011 .016 .010 .036 .236 .869 .490 .015 .000 .026 .030 .007 .011 .246 1.000 .405 .027 .018 .027 .021 .000 .001 .200 .542 .167 .035 .037 .017 .004 .001 .000 .101 .162 .049 .035 .047 .013 .004 .000 .001 .043 .061 .026 .049 .062 .025 .012 .000 .001 .024 .042 .023 .064 .076 .070 r_peak,r_snr = .2220242 17.96098 Correlation Surface of oversamples image at 1146 3846 .036 .098 .198 .328 .424 .407 .284 .135 .039 .036 .096 .202 .371 .540 .561 .388 .161 .031 .031 .084 .204 .436 .703 .749 .489 .175 .025 .020 .067 .208 .519 .883 .916 .549 .176 .022 .008 .051 .214 .592 1.000 .972 .534 .162 .022 .001 .038 .213 .609 .971 .869 .448 .137 .025 .000 .029 .201 .544 .789 .651 .325 .107 .025 .001 .025 .174 .414 .535 .412 .205 .076 .024 .002 .022 .135 .271 .313 .230 .118 .051 .021 1146 .219 3846 -.438 17.96099 .004125 .019312 .001799 Correlation Surface at 1246 3846 .003 .007 .131 .436 .545 .271 .066 .004 .005 .007 .004 .126 .446 .532 .323 .102 .007 .002 .012 .001 .103 .423 .643 .502 .133 .006 .000 .013 .000 .081 .409 .899 .662 .127 .009 .001 .013 .000 .064 .404 1.000 .557 .115 .020 .005 .014 .000 .054 .370 .757 .370 .122 .031 .013 .007 .002 .052 .296 .515 .320 .136 .034 .019 .000 .005 .046 .227 .452 .381 .153 .039 .022 .000 .001 .027 .183 .470 .448 .179 .046 .016 r_peak,r_snr = .3874634 11.843 Correlation Surface of oversamples image at 1246 3846 .151 .204 .291 .366 .408 .401 .320 .192 .090 .122 .191 .314 .449 .552 .572 .454 .266 .119 .107 .192 .353 .560 .738 .757 .560 .299 .121 .109 .207 .402 .680 .914 .879 .578 .269 .097 .124 .229 .447 .771 1.000 .866 .488 .193 .064 .147 .254 .476 .791 .942 .709 .333 .110 .039 .172 .276 .480 .729 .761 .486 .187 .054 .025 .197 .293 .459 .605 .540 .292 .096 .029 .022 .219 .302 .417 .470 .363 .178 .059 .024 .025 1246 .094 3846 -.500 11.84300 .002147 .013970 .001182 Correlation Surface at 1346 3846 .143 .095 .001 .090 .306 .239 .105 .080 .026 .196 .158 .021 .041 .301 .265 .119 .047 .001 .249 .162 .038 .033 .466 .408 .111 .022 .000 .252 .131 .042 .064 .829 .545 .074 .012 .000 .222 .112 .029 .119 1.000 .388 .018 .004 .002 .189 .070 .004 .152 .684 .135 .001 .002 .001 .127 .012 .001 .116 .284 .041 .002 .012 .014 .050 .000 .003 .071 .106 .043 .023 .046 .066 .009 .000 .009 .040 .057 .097 .062 .061 .060 r_peak,r_snr = .2058699 16.16408 Correlation Surface of oversamples image at 1346 3846 .000 .088 .365 .623 .572 .371 .239 .189 .158 .003 .068 .364 .671 .664 .448 .267 .186 .147 .012 .053 .375 .764 .813 .553 .296 .181 .141 .025 .043 .392 .868 .954 .623 .295 .160 .124 .034 .039 .407 .928 1.000 .601 .247 .119 .095 .027 .046 .421 .913 .911 .480 .160 .067 .059 .009 .067 .426 .813 .712 .308 .072 .024 .030 .000 .093 .392 .628 .462 .146 .017 .004 .013 .008 .107 .315 .414 .243 .045 .000 .000 .007 1346 .313 3846 -.531 16.16409 .004323 .037932 .005550 Correlation Surface at 1446 3846 .033 .019 .000 .105 .436 .475 .252 .106 .098 .053 .020 .001 .130 .449 .510 .233 .114 .117 .063 .023 .004 .150 .573 .642 .198 .097 .113 .075 .034 .004 .180 .858 .717 .167 .102 .111 .107 .059 .000 .201 1.000 .559 .169 .131 .092 .133 .082 .007 .189 .775 .379 .207 .138 .070 .109 .071 .007 .159 .509 .343 .251 .122 .080 .087 .043 .001 .144 .408 .372 .246 .119 .104 .106 .034 .000 .144 .383 .339 .187 .118 .106 r_peak,r_snr = .2922106 12.58525 Correlation Surface of oversamples image at 1446 3846 .000 .021 .122 .338 .576 .669 .568 .357 .171 .000 .018 .125 .366 .648 .760 .615 .345 .147 .001 .019 .141 .430 .773 .879 .650 .322 .129 .001 .022 .166 .516 .912 .965 .638 .285 .119 .002 .022 .188 .593 1.000 .963 .567 .243 .121 .005 .019 .195 .623 .986 .856 .463 .210 .136 .008 .014 .185 .589 .867 .691 .367 .198 .164 .011 .009 .160 .502 .693 .533 .309 .209 .195 .011 .006 .131 .401 .535 .428 .292 .234 .218 1446 .219 3846 -.500 12.58526 .002780 .026434 .002338 Correlation Surface at 1546 3846 .151 .143 .116 .165 .312 .268 .140 .114 .140 .163 .147 .098 .142 .337 .295 .119 .100 .088 .169 .123 .075 .174 .549 .436 .152 .111 .083 .169 .103 .091 .289 .903 .613 .211 .137 .135 .165 .109 .127 .381 1.000 .600 .213 .151 .194 .154 .122 .136 .352 .735 .428 .177 .154 .196 .148 .121 .136 .289 .480 .302 .163 .153 .150 .146 .112 .152 .255 .372 .266 .176 .129 .112 .146 .121 .151 .219 .335 .269 .175 .100 .117 r_peak,r_snr = .4095947 5.78774 Correlation Surface of oversamples image at 1546 3846 .054 .068 .140 .291 .455 .489 .346 .169 .071 .059 .086 .195 .414 .640 .658 .443 .213 .090 .073 .118 .273 .570 .844 .816 .523 .249 .107 .092 .154 .349 .700 .985 .897 .551 .260 .114 .109 .180 .391 .750 1.000 .867 .517 .243 .110 .118 .188 .387 .704 .896 .750 .441 .211 .100 .116 .178 .345 .595 .728 .598 .355 .177 .089 .109 .162 .291 .473 .558 .457 .281 .149 .081 .105 .151 .248 .375 .428 .354 .230 .132 .080 1546 .094 3846 -.219 5.78774 .001931 .010874 .000992 Correlation Surface at 1646 3846 .249 .363 .477 .679 .742 .742 .742 .648 .661 .243 .365 .479 .607 .682 .767 .772 .712 .713 .200 .318 .451 .597 .765 .881 .755 .699 .630 .167 .271 .430 .661 .953 .918 .675 .647 .531 .152 .239 .411 .720 1.000 .777 .612 .621 .523 .138 .206 .383 .700 .847 .632 .603 .611 .582 .126 .182 .364 .644 .699 .590 .612 .612 .648 .122 .188 .379 .584 .617 .610 .637 .648 .663 .124 .217 .381 .512 .560 .652 .693 .692 .619 r_peak,r_snr = .3804073 2.6803 Correlation Surface of oversamples image at 1646 3846 .468 .515 .563 .615 .665 .717 .761 .750 .687 .443 .499 .571 .654 .736 .807 .831 .771 .675 .421 .497 .605 .727 .838 .902 .871 .752 .639 .406 .511 .660 .819 .940 .962 .858 .701 .594 .397 .533 .716 .896 1.000 .958 .796 .636 .558 .390 .550 .753 .928 .991 .890 .709 .579 .538 .381 .557 .759 .909 .923 .789 .626 .540 .532 .374 .554 .742 .856 .831 .697 .571 .527 .539 .371 .550 .717 .796 .753 .639 .554 .540 .557 1646 .063 3846 -.281 2.68030 .009493 .045105 .009988 Correlation Surface at 1746 3846 .000 .011 .035 .000 .040 .048 .011 .030 .108 .001 .031 .054 .001 .062 .106 .022 .060 .123 .028 .043 .060 .000 .217 .295 .056 .066 .085 .067 .053 .054 .038 .682 .571 .097 .042 .041 .085 .069 .035 .143 1.000 .558 .092 .023 .014 .080 .057 .013 .161 .636 .276 .051 .008 .006 .057 .030 .003 .089 .209 .096 .017 .000 .008 .038 .016 .001 .042 .081 .052 .007 .000 .009 .030 .008 .001 .039 .087 .083 .014 .003 .003 r_peak,r_snr = .2405906 25.67794 Correlation Surface of oversamples image at 1746 3846 .035 .000 .033 .129 .219 .205 .107 .044 .031 .027 .001 .068 .232 .368 .313 .151 .062 .042 .014 .012 .151 .420 .591 .450 .205 .084 .050 .003 .045 .291 .680 .839 .576 .252 .103 .054 .000 .096 .452 .914 1.000 .632 .274 .112 .053 .003 .144 .556 .996 .981 .584 .255 .103 .044 .008 .163 .546 .879 .794 .456 .200 .078 .030 .010 .144 .433 .635 .537 .303 .132 .048 .017 .009 .106 .288 .390 .315 .175 .073 .025 .007 1746 .281 3846 -.188 25.67794 .003681 .013646 .002182 Correlation Surface at 1846 3846 .020 .089 .111 .116 .086 .039 .046 .051 .017 .024 .087 .111 .118 .107 .087 .053 .044 .010 .021 .062 .109 .133 .258 .238 .057 .030 .001 .012 .033 .097 .177 .670 .434 .050 .012 .001 .007 .021 .089 .294 1.000 .395 .035 .005 .000 .012 .027 .095 .386 .709 .194 .029 .008 .000 .035 .048 .098 .290 .265 .088 .038 .014 .000 .058 .061 .075 .126 .109 .077 .049 .019 .005 .049 .052 .042 .069 .106 .082 .055 .028 .031 r_peak,r_snr = .322697 25.75512 Correlation Surface of oversamples image at 1846 3846 .115 .153 .180 .230 .320 .379 .296 .142 .050 .093 .127 .175 .296 .493 .566 .375 .145 .042 .066 .100 .183 .406 .720 .752 .424 .140 .036 .042 .082 .209 .543 .921 .840 .407 .121 .027 .029 .079 .255 .667 1.000 .780 .334 .093 .020 .027 .090 .306 .715 .905 .603 .237 .069 .018 .030 .104 .326 .641 .677 .395 .154 .054 .021 .035 .110 .296 .478 .428 .234 .103 .051 .031 .035 .098 .222 .303 .245 .143 .084 .061 .049 1846 .094 3846 -.094 25.75513 .002214 .008259 .001292 Correlation Surface at 1946 3846 .001 .005 .009 .000 .106 .239 .035 .015 .005 .000 .000 .005 .020 .248 .286 .028 .006 .006 .041 .045 .039 .073 .438 .336 .045 .006 .008 .121 .063 .021 .168 .815 .477 .038 .018 .006 .038 .001 .000 .226 1.000 .345 .000 .031 .001 .001 .034 .014 .164 .573 .083 .039 .033 .001 .007 .072 .047 .066 .174 .010 .089 .021 .001 .016 .154 .121 .010 .026 .000 .100 .001 .000 .075 .282 .116 .000 .005 .021 .061 .002 .002 r_peak,r_snr = .1545164 25.74062 Correlation Surface of oversamples image at 1946 3846 .043 .034 .089 .193 .314 .388 .300 .133 .035 .050 .039 .113 .269 .471 .556 .381 .159 .046 .042 .044 .153 .401 .711 .768 .455 .169 .042 .026 .046 .199 .550 .937 .891 .449 .136 .021 .010 .044 .227 .633 1.000 .816 .336 .070 .002 .002 .035 .217 .597 .854 .586 .184 .018 .003 .001 .018 .164 .465 .601 .342 .073 .000 .020 .011 .003 .102 .322 .385 .186 .026 .004 .038 .038 .001 .055 .219 .251 .113 .012 .009 .046 1946 .156 3846 -.188 25.74062 .007763 .042156 .005735 Correlation Surface at 2046 3846 .245 .173 .134 .006 .030 .061 .004 .004 .000 .221 .265 .198 .011 .045 .112 .042 .030 .005 .203 .302 .194 .003 .170 .342 .091 .014 .003 .143 .306 .198 .000 .562 .607 .047 .000 .004 .125 .370 .218 .012 1.000 .470 .002 .000 .009 .245 .455 .190 .039 .739 .150 .000 .009 .004 .432 .403 .128 .009 .158 .017 .008 .011 .007 .461 .281 .093 .019 .001 .002 .008 .004 .055 .430 .222 .062 .026 .000 .005 .001 .058 .090 r_peak,r_snr = .1319404 4.37764 Correlation Surface of oversamples image at 2046 3846 .426 .174 .026 .018 .122 .116 .014 .016 .080 .441 .172 .012 .067 .265 .223 .032 .015 .111 .450 .161 .000 .198 .511 .343 .036 .032 .184 .454 .135 .013 .442 .809 .402 .016 .084 .280 .443 .094 .076 .748 1.000 .341 .000 .175 .351 .420 .051 .183 .950 .937 .198 .024 .262 .346 .369 .017 .273 .900 .655 .073 .067 .260 .238 .291 .003 .260 .594 .317 .010 .083 .171 .104 .207 .001 .140 .240 .089 .000 .058 .067 .023 2046 3.781 3846 -2.125 4.37764 .007333 .047137 .007155 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .038 .067 .225 .589 .549 .487 .204 .069 .054 .043 .044 .199 .480 .490 .438 .184 .081 .049 .049 .042 .210 .415 .570 .541 .231 .118 .053 .051 .085 .261 .499 .871 .658 .208 .110 .036 .058 .127 .260 .578 1.000 .518 .130 .083 .021 .058 .118 .212 .482 .690 .323 .137 .094 .025 .052 .131 .231 .382 .445 .318 .226 .107 .018 .059 .208 .325 .394 .443 .388 .207 .057 .002 .084 .242 .330 .408 .490 .314 .071 .022 .001 r_peak,r_snr = .2444244 8.61734 Correlation Surface of oversamples image at 146 4246 .187 .322 .444 .527 .577 .599 .556 .416 .252 .194 .311 .435 .554 .647 .690 .636 .470 .288 .210 .313 .453 .622 .765 .816 .719 .504 .303 .224 .321 .488 .717 .903 .929 .752 .484 .280 .229 .325 .521 .800 1.000 .961 .700 .409 .230 .227 .322 .532 .822 .988 .874 .578 .319 .187 .226 .318 .516 .764 .861 .707 .448 .257 .173 .239 .321 .479 .653 .684 .542 .362 .244 .194 .274 .335 .440 .538 .532 .434 .337 .279 .244 146 .125 4246 -.313 8.61734 .007804 .028995 .004297 Correlation Surface at 246 4246 .121 .259 .403 .506 .474 .274 .004 .018 .124 .051 .215 .379 .545 .479 .294 .003 .040 .099 .001 .151 .434 .659 .638 .331 .019 .002 .009 .013 .087 .403 .755 .935 .409 .101 .028 .013 .004 .074 .279 .743 1.000 .367 .251 .155 .110 .032 .128 .264 .780 .670 .260 .405 .347 .263 .127 .201 .419 .739 .272 .190 .346 .315 .260 .070 .207 .534 .472 .144 .169 .097 .062 .081 .013 .174 .372 .238 .188 .130 .011 .001 .002 r_peak,r_snr = .1340262 7.68246 Correlation Surface of oversamples image at 246 4246 .260 .325 .352 .378 .421 .435 .357 .191 .057 .278 .357 .401 .468 .562 .583 .451 .231 .078 .263 .354 .436 .578 .746 .763 .560 .289 .120 .208 .301 .432 .669 .914 .905 .632 .338 .177 .138 .220 .388 .705 1.000 .942 .620 .355 .242 .082 .148 .332 .692 .981 .854 .528 .340 .308 .054 .111 .301 .657 .871 .673 .394 .309 .372 .052 .111 .302 .608 .702 .464 .266 .277 .423 .070 .137 .316 .532 .510 .287 .179 .255 .441 246 .656 4246 1.594 7.68246 .024935 .128496 .011675 Correlation Surface at 346 4246 .008 .138 .386 .392 .359 .307 .231 .186 .136 .002 .057 .293 .403 .416 .384 .302 .172 .117 .021 .035 .291 .472 .553 .547 .345 .179 .129 .002 .070 .322 .569 .773 .690 .327 .197 .113 .011 .098 .312 .705 1.000 .697 .326 .221 .071 .021 .080 .315 .833 .958 .564 .354 .235 .063 .025 .058 .348 .760 .688 .467 .362 .236 .096 .043 .051 .277 .540 .564 .480 .314 .208 .119 .059 .043 .179 .449 .673 .548 .301 .228 .144 r_peak,r_snr = .1997299 6.39765 Correlation Surface of oversamples image at 346 4246 .248 .355 .453 .569 .680 .714 .662 .551 .419 .258 .379 .508 .664 .798 .819 .728 .582 .432 .268 .407 .574 .766 .906 .894 .763 .593 .434 .282 .449 .653 .864 .980 .922 .760 .584 .433 .309 .507 .737 .936 1.000 .893 .719 .559 .431 .340 .563 .789 .941 .943 .802 .639 .515 .425 .369 .595 .783 .870 .821 .677 .545 .463 .408 .378 .580 .713 .748 .685 .567 .473 .419 .377 .346 .505 .597 .619 .580 .503 .436 .386 .334 346 -.063 4246 -.531 6.39765 .032009 .132457 .032582 Correlation Surface at 446 4246 .008 .001 .047 .274 .351 .324 .185 .019 .030 .003 .002 .050 .262 .385 .441 .216 .030 .030 .008 .005 .038 .291 .616 .585 .177 .034 .043 .006 .000 .030 .438 .914 .582 .142 .057 .063 .000 .011 .047 .592 1.000 .548 .203 .092 .047 .003 .007 .072 .589 .957 .652 .331 .098 .023 .000 .001 .075 .504 .909 .839 .402 .112 .041 .000 .000 .069 .394 .873 .950 .409 .212 .142 .000 .001 .054 .279 .813 .848 .444 .366 .228 r_peak,r_snr = .2099327 7.97114 Correlation Surface of oversamples image at 446 4246 .055 .111 .209 .354 .502 .565 .486 .308 .138 .047 .134 .294 .509 .680 .675 .485 .256 .107 .045 .171 .402 .678 .845 .751 .466 .219 .098 .050 .216 .503 .815 .955 .781 .445 .210 .113 .060 .253 .569 .891 1.000 .783 .444 .234 .150 .070 .271 .589 .904 .994 .778 .472 .287 .201 .074 .267 .571 .865 .950 .775 .521 .352 .247 .074 .256 .535 .801 .896 .781 .583 .416 .276 .073 .245 .494 .733 .849 .799 .648 .471 .296 446 -.094 4246 -.750 7.97114 .011470 .441039 .015357 Correlation Surface at 546 4246 .024 .004 .210 .065 .023 .060 .002 .034 .015 .010 .068 .253 .110 .167 .031 .004 .020 .102 .043 .093 .199 .369 .396 .018 .001 .001 .053 .014 .024 .179 .786 .718 .117 .030 .042 .000 .003 .001 .195 .992 1.000 .459 .211 .094 .009 .069 .006 .122 .610 .744 .664 .295 .035 .023 .211 .055 .057 .143 .299 .493 .164 .007 .057 .288 .087 .082 .012 .156 .219 .031 .008 .058 .167 .015 .187 .026 .152 .064 .008 .040 .063 r_peak,r_snr = 8.08526E-02 8.47507 Correlation Surface of oversamples image at 546 4246 .151 .164 .151 .207 .375 .455 .240 .031 .001 .145 .191 .241 .365 .541 .541 .268 .046 .001 .130 .222 .345 .540 .714 .657 .351 .093 .015 .122 .255 .445 .709 .885 .803 .485 .183 .060 .121 .279 .521 .832 1.000 .913 .624 .300 .133 .107 .268 .541 .847 .957 .877 .677 .384 .194 .069 .214 .484 .717 .721 .674 .613 .409 .215 .027 .144 .377 .480 .395 .406 .493 .394 .203 .003 .090 .252 .218 .126 .190 .369 .342 .157 546 -.438 4246 1.125 8.47507 .326915 .395084 -.270145 Correlation Surface at 646 4246 .015 .002 .110 .225 .279 .179 .008 .007 .019 .002 .037 .155 .201 .365 .256 .011 .000 .001 .001 .077 .190 .275 .523 .403 .069 .018 .001 .003 .095 .229 .410 .752 .588 .135 .005 .005 .006 .121 .284 .607 1.000 .663 .118 .004 .049 .015 .152 .334 .717 .996 .540 .071 .014 .093 .010 .101 .228 .508 .701 .307 .036 .011 .103 .002 .013 .067 .245 .406 .136 .020 .001 .072 .026 .001 .016 .152 .290 .081 .018 .003 .041 r_peak,r_snr = .1944671 10.48425 Correlation Surface of oversamples image at 646 4246 .199 .243 .364 .545 .695 .699 .522 .270 .062 .259 .329 .478 .676 .813 .784 .576 .284 .055 .318 .397 .563 .784 .917 .852 .595 .264 .041 .356 .429 .612 .862 .991 .885 .566 .220 .027 .347 .411 .607 .880 1.000 .847 .486 .163 .017 .286 .346 .547 .823 .926 .735 .372 .107 .009 .197 .257 .446 .699 .776 .575 .255 .062 .004 .105 .164 .321 .525 .578 .403 .155 .030 .001 .043 .093 .210 .358 .398 .265 .088 .012 .000 646 .000 4246 -7.188 10.48426 .022665 .150868 .028146 Correlation Surface at 846 4246 .002 .011 .029 .025 .329 .198 .059 .054 .006 .002 .019 .038 .024 .298 .234 .087 .019 .001 .000 .014 .029 .021 .361 .356 .075 .009 .012 .000 .016 .024 .040 .697 .507 .055 .026 .064 .003 .040 .042 .081 1.000 .481 .053 .046 .093 .011 .091 .102 .079 .777 .337 .056 .019 .054 .016 .134 .140 .051 .436 .273 .057 .000 .017 .017 .116 .089 .048 .302 .292 .055 .001 .002 .007 .064 .031 .056 .284 .303 .052 .000 .001 r_peak,r_snr = .2258598 15.40639 Correlation Surface of oversamples image at 846 4246 .006 .004 .061 .189 .329 .372 .296 .195 .121 .004 .006 .074 .249 .471 .529 .370 .199 .108 .005 .008 .098 .358 .675 .696 .417 .187 .096 .010 .007 .131 .498 .883 .807 .416 .163 .086 .026 .003 .158 .617 1.000 .808 .367 .134 .076 .057 .000 .168 .655 .965 .702 .296 .109 .065 .096 .000 .157 .595 .803 .545 .231 .093 .056 .124 .001 .134 .481 .605 .405 .189 .088 .051 .124 .001 .114 .372 .449 .316 .175 .095 .050 846 .063 4246 .094 15.40640 .003103 .024245 .001519 Correlation Surface at 946 4246 .000 .009 .006 .144 .293 .156 .029 .005 .022 .000 .000 .001 .067 .252 .152 .005 .018 .015 .011 .002 .002 .077 .428 .234 .007 .008 .005 .017 .000 .001 .203 .826 .307 .017 .000 .000 .002 .001 .011 .466 1.000 .254 .021 .008 .025 .001 .001 .037 .631 .779 .154 .025 .040 .052 .001 .005 .070 .542 .479 .093 .017 .029 .032 .009 .003 .071 .319 .296 .044 .000 .003 .020 .014 .002 .057 .217 .224 .023 .004 .002 .033 r_peak,r_snr = .1986018 14.12433 Correlation Surface of oversamples image at 946 4246 .001 .040 .149 .326 .475 .454 .257 .071 .005 .008 .066 .219 .470 .669 .612 .330 .092 .009 .025 .111 .330 .657 .865 .721 .356 .097 .012 .046 .174 .468 .840 .990 .732 .328 .088 .014 .070 .250 .603 .963 1.000 .651 .268 .074 .017 .100 .332 .707 .987 .897 .521 .204 .062 .024 .133 .399 .741 .900 .718 .383 .151 .056 .033 .160 .423 .685 .731 .525 .271 .115 .053 .040 .172 .397 .565 .541 .368 .198 .093 .046 .037 946 -.219 4246 .031 14.12434 .007684 .067589 .012507 Correlation Surface at 1046 4246 .003 .029 .088 .013 .073 .161 .139 .009 .009 .014 .022 .011 .010 .131 .266 .155 .003 .008 .015 .001 .005 .059 .294 .395 .089 .002 .014 .000 .006 .012 .124 .734 .448 .021 .002 .006 .014 .004 .001 .170 1.000 .315 .008 .005 .000 .003 .015 .015 .134 .620 .162 .045 .042 .002 .014 .119 .060 .070 .197 .095 .096 .064 .006 .047 .188 .059 .020 .054 .053 .078 .053 .020 .041 .115 .030 .000 .033 .028 .063 .027 .016 r_peak,r_snr = .1629477 26.00375 Correlation Surface of oversamples image at 1046 4246 .007 .034 .089 .192 .372 .535 .480 .257 .081 .029 .073 .152 .306 .558 .679 .467 .169 .025 .045 .101 .210 .447 .775 .794 .415 .092 .002 .044 .107 .250 .580 .949 .824 .334 .044 .001 .029 .090 .262 .660 1.000 .750 .253 .026 .000 .008 .058 .243 .649 .901 .605 .195 .029 .004 .000 .029 .206 .554 .701 .447 .166 .053 .034 .013 .014 .168 .422 .488 .323 .162 .098 .095 .031 .009 .132 .288 .315 .238 .168 .144 .160 1046 .094 4246 -.156 26.00375 .005741 .033462 .002912 Correlation Surface at 1146 4246 .012 .018 .000 .017 .142 .092 .019 .000 .000 .010 .019 .007 .008 .135 .091 .013 .000 .005 .005 .001 .043 .002 .246 .249 .032 .000 .022 .001 .008 .057 .026 .705 .423 .048 .000 .020 .000 .018 .022 .173 1.000 .274 .038 .002 .004 .000 .008 .001 .316 .598 .088 .017 .002 .000 .001 .000 .049 .273 .205 .018 .001 .000 .001 .000 .020 .131 .199 .075 .002 .000 .000 .000 .000 .049 .168 .168 .041 .006 .008 .008 .003 r_peak,r_snr = .2031627 32.22766 Correlation Surface of oversamples image at 1146 4246 .014 .001 .019 .117 .289 .404 .339 .182 .084 .027 .005 .018 .179 .480 .625 .457 .223 .106 .040 .007 .033 .311 .742 .831 .523 .238 .123 .047 .004 .076 .495 .961 .898 .490 .220 .129 .041 .000 .151 .645 1.000 .779 .380 .178 .121 .023 .008 .225 .667 .830 .552 .253 .129 .098 .005 .033 .261 .557 .569 .338 .152 .081 .064 .001 .067 .253 .400 .347 .193 .083 .040 .032 .020 .101 .221 .270 .207 .107 .038 .013 .010 1146 .125 4246 -.281 32.22766 .004453 .020929 .004618 Correlation Surface at 1246 4246 .004 .006 .047 .212 .436 .343 .091 .030 .025 .002 .003 .032 .181 .444 .334 .085 .032 .030 .002 .003 .024 .175 .524 .401 .113 .051 .036 .005 .004 .023 .234 .760 .533 .154 .078 .044 .005 .002 .031 .354 1.000 .590 .176 .106 .064 .003 .000 .040 .434 .961 .531 .200 .126 .084 .000 .000 .043 .391 .727 .468 .237 .116 .080 .000 .000 .046 .294 .551 .450 .240 .082 .073 .000 .002 .047 .222 .464 .440 .213 .064 .086 r_peak,r_snr = .4219834 12.68768 Correlation Surface of oversamples image at 1246 4246 .077 .151 .286 .482 .646 .628 .438 .236 .121 .086 .175 .340 .580 .770 .726 .488 .260 .138 .097 .205 .406 .694 .897 .801 .509 .265 .147 .108 .236 .477 .803 .985 .819 .488 .253 .153 .117 .265 .539 .874 1.000 .770 .439 .237 .163 .124 .289 .578 .882 .934 .678 .386 .228 .177 .132 .306 .582 .824 .819 .583 .351 .232 .193 .142 .314 .554 .728 .698 .511 .338 .247 .205 .151 .309 .499 .618 .593 .463 .340 .266 .206 1246 -.063 4246 .406 12.68768 .001712 .015594 .001248 Correlation Surface at 1346 4246 .083 .045 .017 .026 .092 .150 .039 .059 .189 .122 .011 .008 .054 .195 .205 .048 .065 .219 .133 .013 .038 .131 .444 .350 .128 .104 .238 .160 .060 .106 .253 .836 .463 .231 .180 .226 .180 .126 .144 .434 1.000 .388 .256 .268 .174 .195 .134 .148 .562 .721 .242 .242 .335 .156 .170 .072 .122 .504 .431 .153 .234 .369 .202 .088 .016 .070 .351 .334 .138 .241 .368 .290 .014 .000 .034 .246 .341 .186 .265 .335 .354 r_peak,r_snr = .1745225 7.66188 Correlation Surface of oversamples image at 1346 4246 .094 .126 .129 .199 .340 .391 .302 .207 .154 .103 .121 .166 .339 .564 .575 .412 .281 .212 .094 .109 .226 .539 .808 .725 .498 .360 .287 .076 .108 .323 .759 .977 .783 .535 .417 .357 .060 .130 .452 .918 1.000 .732 .512 .432 .398 .058 .180 .572 .944 .884 .613 .451 .414 .416 .068 .243 .619 .832 .692 .473 .375 .378 .421 .083 .279 .564 .636 .489 .339 .292 .327 .410 .092 .274 .457 .458 .336 .239 .222 .282 .397 1346 .313 4246 -.500 7.66188 .010854 .068238 .012932 Correlation Surface at 1446 4246 .006 .025 .006 .278 .560 .329 .169 .114 .043 .019 .034 .022 .307 .546 .333 .189 .077 .035 .027 .023 .037 .287 .611 .388 .186 .060 .083 .014 .005 .036 .319 .832 .446 .200 .088 .131 .001 .001 .041 .430 1.000 .452 .238 .132 .087 .001 .003 .045 .492 .935 .425 .213 .094 .024 .000 .000 .039 .457 .767 .355 .131 .034 .015 .000 .004 .036 .377 .603 .297 .104 .033 .054 .001 .000 .037 .287 .492 .330 .150 .096 .111 r_peak,r_snr = .2437773 7.76478 Correlation Surface of oversamples image at 1446 4246 .000 .028 .106 .249 .392 .374 .199 .058 .006 .000 .033 .142 .374 .597 .537 .263 .069 .006 .001 .041 .199 .535 .810 .667 .300 .072 .005 .002 .052 .263 .688 .960 .722 .302 .069 .005 .002 .060 .313 .778 1.000 .697 .280 .063 .004 .001 .062 .328 .768 .925 .619 .248 .055 .003 .000 .057 .302 .673 .781 .523 .217 .049 .002 .000 .047 .250 .544 .631 .439 .194 .044 .001 .000 .033 .191 .425 .512 .378 .181 .044 .001 1446 -.031 4246 .438 7.76478 .005267 .096540 .006325 Correlation Surface at 1546 4246 .010 .000 .005 .042 .160 .215 .062 .010 .010 .006 .000 .001 .065 .314 .341 .049 .003 .018 .012 .002 .000 .098 .499 .498 .043 .007 .042 .021 .001 .001 .117 .782 .679 .044 .009 .026 .012 .000 .003 .154 1.000 .633 .040 .001 .001 .001 .001 .009 .189 .737 .371 .029 .002 .003 .000 .000 .016 .130 .303 .217 .034 .000 .000 .004 .001 .010 .055 .138 .205 .049 .001 .001 .017 .003 .002 .031 .139 .229 .053 .001 .000 r_peak,r_snr = .2531294 22.9414 Correlation Surface of oversamples image at 1546 4246 .029 .117 .277 .451 .503 .363 .143 .022 .001 .029 .122 .317 .563 .661 .474 .179 .029 .003 .026 .125 .372 .715 .849 .582 .210 .035 .005 .023 .133 .442 .873 .991 .631 .216 .037 .006 .024 .151 .513 .965 1.000 .584 .194 .035 .005 .028 .172 .544 .920 .852 .466 .157 .031 .004 .035 .180 .498 .737 .619 .335 .125 .029 .003 .039 .163 .385 .503 .406 .242 .110 .032 .004 .037 .127 .257 .313 .270 .198 .114 .039 .007 1546 .281 4246 -.094 22.94140 .003691 .022897 .002666 Correlation Surface at 1646 4246 .029 .104 .244 .481 .729 .755 .604 .439 .276 .029 .101 .243 .497 .749 .798 .606 .396 .276 .030 .103 .270 .535 .815 .864 .599 .388 .302 .033 .112 .304 .581 .940 .903 .603 .428 .329 .035 .119 .312 .604 1.000 .888 .642 .468 .329 .033 .115 .283 .572 .902 .862 .681 .468 .290 .029 .107 .247 .506 .762 .863 .693 .444 .244 .028 .101 .228 .449 .692 .869 .679 .423 .227 .028 .104 .232 .424 .693 .874 .662 .415 .239 r_peak,r_snr = .5915731 5.2794 Correlation Surface of oversamples image at 1646 4246 .402 .526 .654 .781 .877 .895 .833 .730 .604 .439 .563 .692 .826 .915 .906 .818 .705 .589 .473 .601 .740 .883 .957 .914 .804 .691 .592 .495 .631 .787 .936 .987 .913 .795 .693 .611 .499 .648 .824 .974 1.000 .910 .801 .714 .639 .490 .650 .840 .985 .996 .912 .823 .748 .668 .473 .639 .831 .966 .976 .917 .853 .780 .686 .451 .613 .796 .920 .943 .918 .874 .797 .686 .427 .579 .747 .866 .910 .918 .885 .798 .674 1646 .281 4246 -.188 5.27940 .001944 .013085 .000222 Correlation Surface at 1746 4246 .014 .073 .152 .337 .422 .307 .104 .017 .023 .018 .092 .186 .358 .385 .341 .132 .034 .030 .020 .104 .224 .335 .450 .506 .208 .070 .027 .022 .108 .204 .298 .726 .740 .259 .094 .024 .018 .081 .121 .302 1.000 .711 .228 .112 .027 .006 .033 .065 .343 .861 .445 .197 .125 .023 .000 .007 .058 .334 .501 .277 .209 .115 .018 .001 .001 .061 .224 .276 .246 .221 .093 .020 .003 .000 .037 .120 .215 .264 .195 .081 .023 r_peak,r_snr = .3253217 15.17466 Correlation Surface of oversamples image at 1746 4246 .260 .348 .389 .429 .496 .526 .439 .269 .122 .262 .319 .359 .456 .608 .675 .547 .324 .152 .223 .257 .324 .505 .755 .836 .639 .360 .174 .159 .188 .297 .573 .905 .952 .674 .363 .183 .098 .136 .291 .646 1.000 .967 .633 .335 .184 .056 .108 .301 .692 .991 .868 .536 .292 .183 .034 .100 .315 .676 .865 .693 .419 .250 .186 .026 .103 .313 .593 .674 .508 .319 .220 .192 .025 .107 .283 .466 .481 .358 .249 .203 .197 1746 .188 4246 .063 15.17466 .003312 .016248 .001941 Correlation Surface at 1846 4246 .074 .052 .004 .037 .123 .058 .007 .005 .018 .100 .088 .007 .055 .233 .158 .059 .020 .016 .146 .091 .004 .086 .496 .464 .141 .021 .014 .149 .063 .003 .120 .925 .710 .134 .024 .035 .164 .056 .004 .160 1.000 .498 .104 .051 .056 .202 .051 .000 .162 .454 .182 .103 .064 .031 .189 .021 .007 .080 .060 .078 .107 .034 .020 .138 .010 .002 .015 .009 .115 .089 .018 .044 .100 .038 .009 .004 .049 .212 .056 .019 .066 r_peak,r_snr = .1898315 8.53604 Correlation Surface of oversamples image at 1846 4246 .031 .092 .178 .255 .259 .199 .142 .107 .080 .034 .111 .244 .385 .424 .350 .251 .171 .111 .039 .141 .339 .570 .650 .537 .363 .218 .127 .044 .174 .452 .777 .874 .688 .423 .227 .127 .046 .204 .554 .936 1.000 .730 .408 .208 .121 .044 .222 .605 .970 .958 .641 .339 .180 .118 .043 .223 .581 .849 .757 .470 .256 .159 .121 .044 .209 .484 .619 .488 .296 .188 .151 .130 .051 .183 .344 .365 .255 .167 .143 .150 .134 1846 .281 4246 -.781 8.53604 .005781 .024565 .004176 Correlation Surface at 1946 4246 .492 .474 .437 .356 .430 .403 .675 .545 .459 .579 .549 .754 .460 .662 .871 .565 .432 .350 .854 1.000 .353 .211 .429 .823 .736 .201 .213 .492 .579 .386 .170 .226 .326 .374 .299 .215 .212 .191 .391 .424 r_peak,r_snr = .1467513 2.80354 Correlation Surface of oversamples image at 1946 4246 .186 .143 .171 .258 .395 .521 .571 .606 .685 .189 .149 .212 .353 .540 .682 .734 .769 .814 .158 .146 .267 .485 .726 .863 .877 .855 .813 .116 .151 .342 .641 .904 .987 .919 .814 .695 .096 .182 .436 .780 1.000 .982 .821 .669 .532 .113 .244 .528 .847 .962 .833 .635 .505 .416 .164 .319 .581 .804 .795 .608 .452 .394 .383 .217 .361 .557 .667 .574 .407 .331 .357 .436 .232 .345 .473 .508 .395 .286 .283 .395 .564 1946 14.250 4246 -12.094 2.80354 .162323 .164668 .104535 Correlation Surface at 2046 4246 .026 .024 .034 .219 .422 .314 .182 .142 .078 .028 .047 .069 .266 .373 .254 .156 .096 .087 .034 .065 .112 .284 .407 .326 .156 .087 .096 .037 .100 .140 .309 .722 .551 .183 .092 .069 .042 .139 .107 .341 1.000 .578 .177 .095 .049 .034 .106 .060 .298 .656 .323 .154 .114 .046 .009 .050 .046 .185 .275 .181 .182 .136 .035 .001 .025 .050 .114 .195 .220 .247 .126 .031 .010 .014 .058 .105 .226 .327 .269 .102 .056 r_peak,r_snr = .2382896 10.25699 Correlation Surface of oversamples image at 2046 4246 .115 .196 .276 .360 .442 .461 .435 .407 .338 .148 .221 .305 .434 .570 .600 .536 .452 .339 .165 .229 .344 .555 .759 .770 .631 .477 .325 .159 .222 .390 .696 .937 .881 .657 .454 .292 .134 .206 .427 .794 1.000 .847 .574 .379 .246 .105 .189 .438 .788 .888 .665 .418 .282 .207 .082 .170 .405 .666 .655 .433 .262 .203 .184 .068 .151 .340 .495 .425 .255 .164 .163 .183 .063 .133 .268 .347 .270 .162 .128 .162 .201 2046 .031 4246 -.094 10.25699 .005385 .015578 .001324 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .013 .004 .009 .101 .275 .313 .091 .005 .000 .001 .003 .057 .188 .361 .273 .059 .000 .010 .006 .003 .093 .338 .579 .339 .075 .000 .025 .013 .000 .098 .504 .915 .536 .120 .000 .018 .002 .003 .097 .565 1.000 .565 .090 .000 .004 .011 .029 .112 .474 .695 .348 .037 .005 .000 .046 .072 .124 .317 .400 .210 .041 .012 .002 .053 .066 .079 .183 .321 .255 .088 .002 .012 .029 .038 .055 .169 .378 .359 .105 .001 .022 r_peak,r_snr = .2245963 15.99152 Correlation Surface of oversamples image at 146 4646 .184 .309 .468 .646 .746 .664 .430 .188 .048 .183 .328 .530 .747 .851 .728 .455 .204 .061 .167 .328 .573 .831 .933 .776 .486 .232 .079 .146 .317 .597 .888 .986 .810 .516 .257 .091 .126 .304 .608 .910 1.000 .821 .526 .256 .083 .114 .297 .608 .894 .966 .788 .494 .217 .056 .113 .299 .596 .844 .886 .706 .414 .149 .025 .124 .308 .576 .775 .783 .596 .313 .087 .008 .138 .316 .547 .701 .681 .491 .231 .051 .003 146 -.094 4646 -.656 15.99152 .009553 .041809 .003392 Correlation Surface at 246 4646 .061 .333 .373 .000 .111 .015 .000 .029 .128 .075 .259 .129 .022 .010 .039 .002 .013 .094 .052 .089 .016 .000 .135 .192 .059 .017 .013 .001 .022 .026 .224 .631 .427 .277 .079 .010 .026 .014 .100 .776 1.000 .686 .400 .079 .093 .095 .001 .142 .809 .766 .464 .211 .099 .225 .163 .004 .132 .416 .272 .092 .062 .215 .294 .108 .012 .236 .252 .094 .019 .096 .254 .252 .008 .217 .442 .348 .131 .078 .200 .061 .094 r_peak,r_snr = .1096055 10.10816 Correlation Surface of oversamples image at 246 4646 .002 .004 .006 .013 .182 .382 .348 .180 .066 .000 .003 .002 .119 .442 .606 .466 .269 .152 .002 .002 .056 .340 .733 .783 .559 .356 .248 .019 .037 .192 .604 .945 .866 .598 .405 .308 .051 .109 .358 .783 1.000 .837 .563 .389 .299 .078 .183 .467 .796 .883 .696 .453 .302 .225 .091 .238 .496 .685 .671 .496 .309 .190 .138 .104 .286 .487 .549 .464 .317 .190 .109 .088 .134 .339 .472 .433 .306 .193 .115 .072 .082 246 .531 4646 -.625 10.10817 .144093 .116047 .071740 Correlation Surface at 446 4646 .015 .006 .044 .408 .664 .195 .000 .002 .030 .035 .005 .092 .422 .518 .135 .004 .001 .146 .016 .001 .094 .348 .592 .168 .005 .004 .370 .001 .005 .069 .396 .907 .224 .000 .026 .530 .001 .001 .066 .542 1.000 .214 .005 .034 .484 .009 .001 .080 .631 .817 .189 .014 .032 .260 .011 .000 .106 .701 .824 .261 .033 .040 .066 .001 .005 .125 .721 .915 .440 .120 .040 .004 .010 .024 .113 .528 .689 .603 .264 .030 .001 r_peak,r_snr = .1402092 8.14275 Correlation Surface of oversamples image at 446 4646 .042 .053 .009 .424 .011 .005 .106 .887 .000 .005 .251 1.344 .008 .034 .383 1.686 .032 .072 .474 1.843 .057 .099 .498 1.771 .071 .109 .469 1.505 .098 .133 .440 1.157 .162 .182 .398 .785 446 3.906 4646 -3.031 8.14275 .012244 .255347 .018765 Correlation Surface at 646 4646 .000 .015 .092 .130 .032 .086 .073 .001 .007 .018 .000 .022 .043 .015 .134 .059 .003 .007 .041 .001 .001 .024 .243 .199 .086 .042 .001 .016 .000 .011 .295 .676 .244 .050 .012 .004 .000 .000 .042 .476 1.000 .155 .000 .006 .005 .000 .008 .037 .413 .945 .055 .047 .015 .003 .009 .025 .006 .295 .615 .026 .086 .014 .021 .007 .002 .001 .149 .282 .011 .132 .036 .001 .000 .026 .003 .034 .057 .009 .205 .109 .030 r_peak,r_snr = .117403 14.54347 Correlation Surface of oversamples image at 646 4646 .011 .029 .099 .248 .410 .496 .475 .355 .202 .016 .055 .179 .404 .632 .717 .575 .309 .099 .026 .084 .246 .531 .839 .905 .607 .227 .025 .043 .109 .281 .610 .981 .990 .560 .142 .000 .060 .117 .277 .625 1.000 .929 .458 .084 .004 .067 .103 .241 .564 .868 .748 .345 .055 .005 .051 .071 .183 .432 .624 .521 .250 .045 .002 .019 .034 .112 .258 .354 .307 .169 .036 .001 .000 .007 .045 .101 .136 .134 .087 .016 .005 646 -.281 4646 -.281 14.54348 .014854 .198473 .023180 Correlation Surface at 746 4646 .146 .063 .004 .183 .414 .242 .041 .000 .003 .110 .122 .002 .211 .592 .338 .016 .036 .000 .130 .155 .000 .296 .810 .392 .004 .049 .001 .180 .118 .001 .466 .996 .438 .010 .010 .005 .120 .055 .011 .562 1.000 .445 .037 .002 .013 .052 .031 .025 .472 .817 .392 .070 .019 .018 .055 .022 .021 .362 .672 .328 .075 .016 .007 .064 .010 .023 .363 .639 .265 .061 .001 .001 .025 .000 .061 .354 .466 .142 .023 .009 .026 r_peak,r_snr = .151041 12.28301 Correlation Surface of oversamples image at 746 4646 .003 .074 .228 .456 .654 .622 .338 .082 .001 .004 .087 .280 .577 .804 .708 .342 .067 .000 .004 .102 .348 .701 .917 .750 .336 .062 .001 .003 .120 .426 .807 .978 .755 .334 .068 .000 .004 .154 .514 .885 1.000 .749 .349 .089 .002 .009 .205 .593 .928 .996 .742 .374 .117 .012 .023 .263 .647 .942 .978 .729 .390 .143 .028 .049 .316 .677 .942 .955 .710 .392 .157 .046 .080 .341 .671 .919 .919 .679 .372 .153 .056 746 -.125 4646 .281 12.28301 .016210 .428081 .008398 Correlation Surface at 846 4646 .212 .198 .230 .146 .067 .067 .134 .189 .141 .236 .257 .240 .100 .126 .229 .251 .113 .235 .316 .413 .308 .276 .261 .244 .174 .227 .357 .636 .724 .440 .232 .169 .260 .196 .390 .858 1.000 .454 .173 .082 .262 .212 .478 .936 .835 .297 .111 .063 .274 .305 .508 .730 .423 .101 .081 .124 .356 .348 .392 .479 .130 .015 .107 .232 .444 .271 .311 .376 .028 .007 .145 .234 r_peak,r_snr = .1392621 4.14209 Correlation Surface of oversamples image at 846 4646 .363 .489 .595 .560 .434 .357 .324 .262 .191 .452 .581 .694 .705 .647 .595 .513 .358 .215 .471 .598 .738 .828 .856 .816 .661 .415 .220 .416 .556 .735 .900 .990 .933 .699 .397 .195 .340 .504 .712 .906 1.000 .895 .604 .310 .144 .292 .473 .676 .841 .884 .719 .425 .194 .089 .287 .467 .629 .725 .692 .491 .245 .098 .050 .320 .471 .573 .598 .497 .293 .116 .041 .031 .363 .462 .511 .485 .340 .154 .043 .016 .028 846 10.563 4646 8.281 4.14209 .043725 .110749 .029406 Correlation Surface at 946 4646 .016 .003 .120 .005 .108 .003 .017 .243 .568 .141 .001 .116 .094 .377 .026 .011 .206 .424 .066 .105 .186 .139 .581 .037 .015 .204 .233 .022 .279 .164 .259 .913 .118 .070 .228 .165 .139 .206 .011 .605 1.000 .136 .023 .104 .132 .087 .043 .064 .620 .547 .002 .055 .006 .120 .032 .001 .064 .250 .141 .108 .179 .001 .152 .063 .015 .003 .047 .038 .161 .091 .023 .142 .254 .145 .086 .009 .010 .141 .048 .037 .086 r_peak,r_snr = 8.17006E-02 9.66414 Correlation Surface of oversamples image at 946 4646 6.584 8.817 10.932 14.339 6.702 8.565 10.971 14.737 5.685 7.545 10.467 14.061 4.312 6.435 9.652 12.411 3.286 5.597 8.602 10.246 946 13.813 4646 -5.781 9.66414 .037558 .221135 .048136 Correlation Surface at 1046 4646 .007 .075 .098 .092 .177 .147 .046 .040 .005 .009 .054 .060 .081 .141 .106 .037 .026 .000 .023 .035 .021 .066 .197 .138 .032 .022 .010 .032 .006 .006 .180 .569 .236 .027 .013 .040 .007 .012 .006 .456 1.000 .224 .018 .009 .078 .006 .067 .018 .539 .770 .125 .053 .041 .034 .016 .039 .071 .339 .320 .108 .239 .120 .002 .000 .010 .212 .231 .211 .238 .469 .125 .051 .052 .194 .328 .258 .283 .427 .451 .079 .108 r_peak,r_snr = .1504388 11.70738 Correlation Surface of oversamples image at 1046 4646 .004 .007 .072 .163 .211 .176 .104 .043 .019 .011 .010 .117 .275 .358 .282 .141 .041 .010 .016 .024 .211 .481 .596 .428 .176 .033 .004 .016 .053 .353 .746 .856 .547 .179 .020 .000 .009 .095 .502 .959 1.000 .561 .142 .008 .000 .002 .145 .594 .996 .931 .460 .095 .005 .001 .001 .186 .582 .830 .693 .315 .066 .011 .018 .015 .211 .485 .574 .439 .209 .069 .048 .093 .052 .228 .372 .367 .277 .170 .117 .161 .263 1046 -.250 4646 .219 11.70738 .009711 .039494 .006814 Correlation Surface at 1146 4646 .002 .045 .118 .104 .050 .027 .051 .002 .010 .002 .009 .058 .086 .087 .007 .013 .001 .017 .026 .000 .038 .096 .210 .034 .001 .004 .010 .046 .001 .023 .145 .618 .233 .029 .022 .020 .028 .001 .015 .267 1.000 .313 .077 .071 .061 .003 .003 .021 .295 .702 .197 .094 .080 .047 .003 .032 .030 .148 .278 .116 .077 .041 .007 .014 .069 .043 .068 .151 .098 .073 .025 .003 .032 .081 .079 .088 .125 .105 .090 .028 .024 r_peak,r_snr = .196616 23.62079 Correlation Surface of oversamples image at 1146 4646 .050 .099 .151 .194 .178 .098 .031 .014 .021 .055 .102 .171 .274 .331 .247 .105 .039 .033 .049 .095 .202 .408 .575 .455 .193 .068 .052 .034 .088 .252 .588 .840 .627 .249 .093 .081 .023 .088 .318 .754 1.000 .673 .255 .111 .114 .021 .100 .373 .823 .978 .599 .229 .123 .141 .029 .116 .385 .755 .808 .469 .194 .126 .147 .050 .131 .347 .599 .600 .351 .164 .119 .131 .079 .138 .285 .444 .439 .273 .145 .108 .107 1146 -.063 4646 .219 23.62080 .004643 .019985 .001415 Correlation Surface at 1246 4646 .173 .246 .379 .488 .450 .372 .312 .306 .291 .145 .199 .335 .461 .482 .466 .444 .335 .250 .117 .169 .313 .495 .625 .649 .562 .309 .173 .099 .135 .334 .624 .851 .812 .581 .278 .120 .064 .108 .367 .787 1.000 .824 .491 .239 .096 .035 .104 .381 .823 .916 .655 .358 .195 .087 .036 .130 .378 .667 .707 .484 .287 .188 .089 .053 .163 .347 .503 .573 .429 .308 .207 .088 .049 .146 .286 .481 .590 .435 .327 .183 .066 r_peak,r_snr = .2910077 6.12457 Correlation Surface of oversamples image at 1246 4646 .419 .464 .504 .543 .576 .600 .575 .468 .324 .414 .490 .574 .655 .719 .743 .678 .515 .330 .437 .550 .672 .782 .856 .860 .748 .537 .323 .488 .635 .780 .895 .956 .929 .776 .534 .311 .553 .724 .873 .969 1.000 .937 .754 .505 .291 .610 .790 .924 .989 .986 .887 .686 .455 .266 .645 .818 .927 .963 .925 .791 .592 .396 .238 .653 .802 .888 .902 .832 .676 .495 .339 .211 .625 .743 .812 .814 .723 .563 .413 .293 .190 1246 1.844 4646 -6.750 6.12457 .032382 .078193 .028343 Correlation Surface at 1346 4646 .091 .019 .017 .034 .112 .004 .035 .002 .021 .116 .005 .017 .059 .126 .001 .007 .006 .018 .146 .020 .000 .069 .165 .071 .001 .002 .008 .138 .070 .003 .086 .495 .346 .010 .001 .003 .123 .090 .000 .171 1.000 .403 .011 .011 .007 .095 .026 .020 .232 .751 .170 .015 .040 .029 .039 .003 .052 .129 .268 .078 .018 .022 .016 .012 .021 .023 .027 .139 .103 .010 .003 .006 .020 .001 .000 .012 .181 .124 .000 .086 .055 r_peak,r_snr = .1387 11.88585 Correlation Surface of oversamples image at 1346 4646 .000 .024 .143 .262 .234 .114 .018 .005 .035 .001 .019 .134 .270 .326 .257 .094 .002 .017 .002 .018 .132 .329 .528 .509 .221 .018 .005 .002 .021 .151 .448 .803 .774 .329 .041 .000 .000 .030 .187 .578 1.000 .873 .347 .058 .009 .003 .045 .221 .627 .959 .729 .274 .065 .029 .015 .062 .224 .535 .689 .455 .175 .065 .051 .035 .074 .188 .356 .385 .239 .114 .070 .064 .056 .075 .130 .191 .187 .133 .094 .076 .061 1346 .125 4646 .125 11.88585 .008909 .034016 .004375 Correlation Surface at 1446 4646 .027 .057 .072 .123 .257 .278 .333 .608 .489 .000 .045 .062 .147 .276 .280 .449 .558 .284 .001 .030 .074 .189 .413 .460 .491 .236 .096 .011 .003 .061 .250 .739 .650 .301 .055 .056 .053 .014 .020 .301 1.000 .515 .146 .040 .093 .079 .042 .012 .366 .767 .254 .144 .109 .167 .073 .025 .067 .444 .334 .145 .299 .257 .194 .045 .001 .249 .418 .136 .179 .543 .388 .177 .001 .099 .393 .284 .104 .239 .614 .298 .144 r_peak,r_snr = .1430045 5.15582 Correlation Surface of oversamples image at 1446 4646 2.526 1.987 2.429 3.553 4.000 3.544 2.240 1.958 2.710 3.804 3.906 3.242 2.168 2.183 3.034 3.692 3.285 2.480 2.358 2.573 3.151 3.098 2.299 1.541 2.747 2.891 2.857 2.163 1.275 .754 1446 2.844 4646 -3.781 5.15582 .014637 .082983 .014817 Correlation Surface at 1546 4646 .229 .003 .156 .399 .290 .099 .020 .006 .047 .248 .000 .180 .376 .252 .183 .120 .072 .115 .180 .003 .183 .383 .420 .409 .192 .068 .088 .074 .035 .218 .552 .837 .537 .091 .003 .057 .013 .075 .285 .806 1.000 .369 .003 .016 .095 .006 .061 .347 .764 .742 .199 .008 .009 .179 .018 .042 .246 .373 .473 .149 .000 .002 .193 r_peak,r_snr = .1331674 7.9078 Correlation Surface of oversamples image at 1546 4646 .051 .155 .254 .276 .256 .245 .211 .133 .048 .089 .212 .337 .405 .437 .447 .378 .230 .076 .138 .277 .440 .584 .683 .679 .530 .297 .081 .177 .325 .534 .765 .902 .826 .585 .290 .057 .191 .348 .605 .894 1.000 .823 .526 .222 .025 .185 .356 .642 .929 .948 .703 .408 .144 .008 .163 .338 .605 .825 .769 .532 .290 .088 .003 .126 .274 .473 .607 .542 .381 .210 .064 .005 .078 .173 .287 .365 .353 .287 .179 .069 .017 1546 .375 4646 12.156 7.90780 .038795 .148122 .042229 Correlation Surface at 1646 4646 .704 .832 .912 .959 .956 .867 .758 .722 .721 .739 .907 .976 .963 .934 .838 .714 .745 .732 .793 .944 .988 .938 .925 .806 .722 .768 .713 .791 .898 .945 .956 .961 .807 .781 .765 .692 .767 .850 .917 1.000 1.000 .850 .804 .733 .683 .758 .819 .895 .967 .965 .860 .752 .712 .668 .758 .797 .859 .891 .887 .811 .736 .756 .674 .749 .761 .810 .843 .837 .784 .799 .821 .683 .711 .715 .757 .838 .874 .832 .879 .843 .668 r_peak,r_snr = .4245045 1.48649 Correlation Surface of oversamples image at 1646 4646 .678 .713 .769 .839 .896 .935 .960 .970 .969 .695 .741 .804 .873 .928 .961 .969 .965 .959 .720 .780 .852 .919 .965 .981 .963 .945 .937 .736 .809 .890 .957 .990 .984 .946 .922 .913 .738 .821 .914 .980 1.000 .976 .933 .912 .899 .728 .821 .924 .988 .998 .967 .933 .920 .897 .716 .816 .921 .982 .988 .965 .949 .944 .906 .707 .810 .909 .964 .973 .969 .973 .970 .916 .706 .803 .888 .936 .955 .972 .992 .983 .918 1646 .188 4646 6.219 1.48649 .047158 .183078 -.019533 Correlation Surface at 1746 4646 .181 .266 .305 .369 .538 .460 .370 .425 .467 .191 .250 .270 .403 .606 .542 .435 .496 .519 .208 .236 .275 .486 .743 .716 .524 .549 .500 .218 .230 .327 .587 .935 .852 .561 .520 .458 .208 .253 .406 .660 1.000 .767 .500 .457 .421 .198 .300 .438 .618 .794 .568 .428 .416 .391 .203 .306 .363 .476 .535 .459 .412 .409 .378 .206 .250 .269 .369 .447 .482 .447 .428 .404 .196 .205 .244 .363 .522 .567 .502 .436 .428 r_peak,r_snr = .4338305 3.19406 Correlation Surface of oversamples image at 1746 4646 .327 .425 .565 .677 .690 .620 .536 .492 .504 .337 .451 .610 .751 .791 .718 .610 .550 .553 .354 .483 .666 .843 .898 .801 .661 .585 .577 .379 .521 .731 .936 .980 .839 .670 .586 .568 .411 .561 .790 .998 1.000 .812 .632 .551 .529 .443 .594 .821 .995 .939 .727 .562 .493 .476 .465 .605 .801 .915 .814 .616 .484 .433 .425 .463 .580 .727 .778 .665 .511 .419 .387 .389 .436 .525 .620 .630 .539 .439 .383 .365 .372 1746 .219 4646 -.375 3.19406 .004785 .016470 .003249 Correlation Surface at 1846 4646 .003 .002 .023 .052 .140 .094 .020 .026 .043 .004 .007 .004 .102 .190 .039 .001 .009 .019 .011 .037 .004 .175 .300 .071 .001 .026 .036 .009 .020 .022 .269 .682 .287 .067 .105 .072 .000 .002 .013 .290 1.000 .430 .158 .136 .075 .005 .011 .001 .169 .653 .197 .099 .052 .059 .000 .043 .010 .052 .204 .043 .027 .017 .065 .008 .011 .001 .011 .072 .040 .024 .028 .069 .000 .008 .000 .004 .095 .143 .055 .042 .035 r_peak,r_snr = .1739542 11.06513 Correlation Surface of oversamples image at 1846 4646 .000 .039 .150 .258 .258 .128 .018 .000 .002 .000 .051 .183 .339 .395 .256 .081 .023 .026 .001 .060 .218 .458 .620 .481 .217 .094 .078 .001 .059 .246 .592 .868 .719 .370 .177 .130 .000 .049 .258 .678 1.000 .817 .426 .206 .145 .000 .036 .243 .659 .924 .712 .360 .174 .123 .002 .024 .196 .523 .679 .485 .236 .117 .086 .003 .015 .133 .335 .404 .274 .132 .069 .052 .002 .010 .075 .178 .209 .148 .078 .044 .035 1846 .063 4646 .063 11.06514 .007123 .026867 -.000178 Correlation Surface at 1946 4646 .009 .015 .008 .004 .022 .007 .023 .036 .000 .085 .007 .001 .009 .038 .042 .005 .028 .001 .069 .004 .015 .001 .151 .363 .040 .000 .000 .004 .007 .002 .013 .669 .830 .084 .015 .002 .000 .012 .021 .097 1.000 .468 .015 .005 .030 .013 .093 .035 .120 .503 .045 .001 .003 .028 .069 .115 .012 .069 .168 .000 .008 .002 .004 .112 .097 .003 .056 .141 .005 .000 .007 .029 .088 .110 .000 .049 .170 .055 .019 .066 .259 r_peak,r_snr = .1161839 19.81087 Correlation Surface of oversamples image at 1946 4646 .008 .004 .000 .008 .062 .122 .079 .010 .001 .027 .012 .000 .050 .211 .309 .185 .045 .003 .034 .007 .018 .202 .507 .554 .293 .088 .015 .020 .000 .106 .491 .845 .698 .310 .092 .018 .003 .019 .269 .789 1.000 .622 .215 .055 .009 .001 .067 .415 .887 .844 .382 .093 .017 .000 .012 .104 .435 .711 .503 .154 .020 .001 .005 .021 .105 .331 .417 .209 .033 .000 .005 .025 .024 .084 .205 .198 .064 .002 .005 .016 .048 1946 .375 4646 -.406 19.81088 .015234 .051194 .015738 Correlation Surface at 2046 4646 .123 .254 .363 .418 .417 .364 .289 .214 .225 .162 .284 .379 .424 .409 .387 .273 .222 .262 .186 .315 .400 .415 .500 .478 .261 .214 .285 .173 .312 .378 .446 .766 .620 .260 .213 .270 .141 .263 .337 .554 1.000 .623 .256 .228 .256 .118 .229 .358 .669 .922 .475 .258 .281 .304 .109 .235 .397 .675 .666 .377 .302 .381 .388 .105 .229 .376 .561 .493 .368 .362 .452 .385 .095 .186 .297 .411 .436 .387 .383 .415 .305 r_peak,r_snr = .3814052 5.86442 Correlation Surface of oversamples image at 2046 4646 .347 .364 .369 .390 .435 .455 .396 .288 .204 .357 .370 .394 .470 .571 .590 .476 .318 .211 .346 .367 .434 .588 .746 .741 .554 .345 .218 .320 .361 .485 .719 .909 .851 .593 .351 .220 .296 .362 .540 .824 1.000 .874 .574 .336 .221 .283 .372 .580 .864 .985 .805 .513 .312 .228 .282 .383 .588 .824 .873 .678 .436 .291 .244 .287 .385 .559 .723 .715 .544 .371 .283 .270 .288 .375 .505 .599 .566 .442 .333 .290 .302 2046 .000 4646 .188 5.86442 .003656 .018411 .003036 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .008 .005 .186 .420 .378 .330 .173 .065 .000 .012 .000 .242 .381 .385 .387 .185 .064 .011 .000 .032 .356 .470 .519 .423 .184 .068 .033 .005 .068 .375 .611 .786 .501 .216 .049 .008 .000 .038 .256 .683 1.000 .597 .226 .028 .002 .000 .017 .175 .633 .992 .587 .193 .018 .006 .001 .010 .141 .535 .813 .477 .152 .012 .000 .000 .001 .102 .441 .662 .422 .111 .015 .007 .007 .001 .097 .417 .604 .361 .054 .012 .015 r_peak,r_snr = .1835842 10.08719 Correlation Surface of oversamples image at 146 5046 .343 .629 .729 .662 .569 .493 .425 .371 .328 .353 .617 .742 .735 .683 .604 .510 .431 .373 .304 .553 .736 .821 .822 .743 .622 .512 .425 .232 .469 .716 .890 .943 .874 .736 .595 .469 .169 .392 .675 .906 1.000 .954 .817 .654 .488 .131 .332 .612 .856 .977 .964 .843 .668 .474 .107 .281 .525 .749 .888 .911 .809 .630 .430 .086 .228 .427 .624 .773 .819 .732 .561 .377 .057 .168 .334 .517 .670 .719 .644 .497 .339 146 -.406 5046 -.844 10.08720 .020676 .193635 -.006785 Correlation Surface at 246 5046 .101 .083 .092 .252 .579 .719 .432 .137 .055 .129 .078 .148 .269 .576 .660 .405 .134 .059 .094 .130 .284 .502 .731 .558 .243 .148 .160 .067 .129 .376 .863 .968 .448 .162 .231 .292 .070 .075 .321 .945 1.000 .435 .185 .341 .320 .047 .026 .193 .614 .763 .418 .202 .427 .316 .019 .013 .095 .272 .418 .264 .186 .532 .420 .023 .018 .060 .129 .181 .126 .195 .542 .572 .066 .038 .079 .116 .094 .101 .198 .407 .575 r_peak,r_snr = .1611944 5.70675 Correlation Surface of oversamples image at 246 5046 .165 .232 .311 .402 .512 .620 .651 .579 .416 .225 .324 .425 .538 .652 .716 .673 .535 .345 .273 .405 .547 .697 .806 .811 .691 .494 .294 .296 .459 .657 .846 .938 .885 .708 .477 .277 .291 .480 .725 .931 1.000 .921 .733 .497 .294 .258 .457 .711 .901 .962 .914 .764 .540 .326 .208 .393 .613 .770 .854 .877 .787 .576 .346 .162 .312 .478 .610 .732 .827 .780 .569 .330 .128 .233 .350 .470 .626 .759 .718 .498 .276 246 -3.531 5046 -4.438 5.70675 .033440 .187218 -.020969 Correlation Surface at 346 5046 .190 .152 .219 .329 .309 .463 .535 .316 .214 .159 .143 .212 .277 .430 .657 .685 .378 .275 .156 .165 .217 .344 .632 .774 .745 .561 .404 .143 .180 .283 .577 .861 .808 .733 .669 .359 .095 .160 .364 .766 1.000 .794 .658 .506 .211 .047 .132 .336 .665 .915 .722 .559 .327 .196 .057 .191 .291 .462 .759 .670 .447 .274 .292 .182 .385 .345 .434 .772 .638 .335 .288 .350 .322 .528 .440 .559 .827 .553 .267 .298 .342 r_peak,r_snr = .1942836 4.25497 Correlation Surface of oversamples image at 346 5046 .430 .456 .478 .540 .652 .761 .809 .796 .723 .453 .495 .564 .668 .774 .835 .830 .784 .702 .478 .555 .674 .804 .885 .884 .818 .735 .649 .501 .620 .781 .921 .970 .907 .781 .666 .577 .515 .670 .853 .988 1.000 .885 .720 .590 .500 .519 .689 .870 .982 .959 .818 .650 .524 .434 .518 .677 .831 .908 .860 .727 .584 .472 .378 .521 .647 .757 .802 .751 .646 .534 .429 .329 .541 .618 .685 .713 .676 .600 .502 .390 .287 346 -.250 5046 -3.844 4.25497 .051490 .185559 .029891 Correlation Surface at 446 5046 .004 .001 .043 .207 .548 .373 .048 .001 .002 .014 .007 .004 .201 .741 .338 .044 .004 .005 .060 .028 .001 .334 .838 .282 .066 .015 .006 .086 .017 .012 .463 .892 .357 .133 .048 .000 .054 .007 .023 .523 1.000 .460 .141 .045 .000 .064 .030 .022 .475 .850 .325 .045 .006 .012 .144 .069 .013 .248 .440 .144 .003 .003 .070 .143 .054 .001 .053 .203 .119 .003 .014 .123 .038 .028 .006 .007 .182 .162 .011 .011 .094 r_peak,r_snr = .1663094 12.81342 Correlation Surface of oversamples image at 446 5046 .000 .035 .222 .567 .748 .561 .256 .094 .057 .001 .069 .319 .673 .804 .598 .300 .140 .101 .007 .114 .416 .772 .884 .678 .378 .203 .150 .019 .167 .514 .868 .968 .759 .442 .240 .165 .037 .229 .603 .934 1.000 .770 .436 .218 .131 .060 .292 .656 .918 .919 .668 .345 .144 .069 .086 .327 .621 .775 .710 .472 .211 .064 .019 .109 .312 .495 .543 .452 .279 .108 .020 .001 .114 .243 .317 .307 .244 .154 .059 .007 .000 446 -.156 5046 3.000 12.81342 .012721 .190765 .003422 Correlation Surface at 546 5046 .185 .143 .128 .295 .432 .269 .118 .068 .038 .126 .152 .139 .321 .509 .279 .115 .078 .064 .038 .103 .147 .395 .676 .391 .218 .171 .154 .003 .068 .177 .515 .902 .556 .318 .274 .215 .009 .116 .277 .671 1.000 .532 .264 .251 .153 .056 .233 .393 .722 .838 .377 .168 .133 .089 .086 .270 .429 .650 .651 .282 .090 .055 .076 .067 .224 .369 .542 .585 .269 .072 .049 .080 .086 .198 .291 .548 .635 .321 .106 .060 .065 r_peak,r_snr = .1955036 7.28847 Correlation Surface of oversamples image at 546 5046 1.720 2.272 2.843 3.368 3.641 3.198 1.962 .795 .340 1.435 2.013 2.595 3.156 3.528 3.171 1.931 .789 .357 1.134 1.674 2.248 2.910 3.439 3.167 1.948 .876 .456 1.001 1.492 2.101 2.937 3.629 3.369 2.155 1.152 .704 546 -.375 5046 4.813 7.28847 .019400 .151531 .027503 Correlation Surface at 646 5046 .001 .044 .119 .307 .456 .383 .297 .108 .092 .002 .048 .098 .263 .444 .564 .285 .059 .080 .000 .063 .150 .273 .587 .715 .226 .041 .098 .005 .128 .222 .310 .857 .723 .170 .066 .150 .052 .197 .184 .347 1.000 .610 .136 .119 .155 .114 .171 .113 .314 .797 .445 .123 .193 .100 .120 .116 .066 .223 .536 .310 .167 .245 .062 .093 .062 .034 .193 .418 .237 .195 .229 .069 .067 .033 .039 .278 .375 .176 .139 .191 .119 r_peak,r_snr = .1889937 9.32623 Correlation Surface of oversamples image at 646 5046 .297 .397 .495 .586 .727 .872 .843 .613 .342 .342 .418 .516 .643 .802 .870 .730 .477 .262 .356 .418 .543 .726 .882 .831 .587 .347 .202 .329 .402 .585 .840 .962 .772 .459 .256 .169 .276 .381 .635 .946 1.000 .695 .366 .207 .164 .226 .366 .671 .988 .965 .611 .314 .194 .186 .195 .360 .672 .943 .862 .532 .294 .212 .233 .176 .345 .623 .821 .717 .456 .288 .244 .297 .160 .318 .545 .675 .572 .387 .283 .279 .358 646 .250 5046 -.188 9.32623 .009679 .082776 .007622 Correlation Surface at 746 5046 .079 .156 .303 .382 .527 .437 .212 .053 .006 .083 .085 .124 .289 .621 .597 .211 .045 .008 .068 .028 .055 .246 .623 .660 .160 .020 .003 .033 .020 .091 .311 .768 .615 .057 .000 .003 .018 .049 .168 .483 1.000 .437 .002 .024 .021 .019 .054 .154 .544 .853 .221 .001 .029 .020 .009 .015 .071 .359 .433 .104 .001 .008 .002 .001 .000 .030 .165 .185 .069 .005 .000 .000 .005 .000 .034 .106 .144 .057 .002 .001 .000 r_peak,r_snr = .2017204 12.90871 Correlation Surface of oversamples image at 746 5046 .001 .036 .147 .304 .445 .521 .465 .278 .088 .003 .045 .160 .336 .528 .623 .493 .227 .037 .017 .079 .217 .444 .689 .730 .466 .141 .004 .052 .142 .327 .628 .882 .778 .368 .056 .006 .099 .225 .477 .830 1.000 .703 .227 .007 .039 .136 .307 .612 .941 .948 .515 .098 .003 .076 .147 .351 .655 .877 .725 .291 .022 .022 .089 .137 .338 .583 .673 .448 .124 .001 .033 .072 .118 .284 .441 .439 .235 .043 .001 .023 .040 746 -.156 5046 .281 12.90872 .011594 .074890 .017587 Correlation Surface at 846 5046 .006 .000 .008 .082 .187 .037 .023 .034 .009 .009 .012 .040 .153 .233 .087 .030 .031 .003 .011 .052 .122 .284 .451 .269 .057 .042 .029 .006 .037 .132 .381 .903 .424 .067 .034 .009 .003 .001 .052 .393 1.000 .248 .022 .002 .010 .021 .013 .007 .292 .480 .057 .000 .009 .033 .005 .012 .001 .156 .167 .027 .003 .014 .005 .003 .001 .002 .114 .200 .064 .000 .001 .000 .007 .001 .001 .155 .292 .078 .005 .002 .000 r_peak,r_snr = .1438644 20.959 Correlation Surface of oversamples image at 846 5046 .054 .103 .202 .286 .295 .222 .105 .060 .096 .081 .157 .290 .425 .503 .420 .209 .104 .115 .083 .187 .370 .604 .764 .622 .287 .122 .104 .067 .197 .446 .788 .969 .698 .274 .093 .061 .046 .200 .515 .913 1.000 .595 .184 .041 .018 .031 .202 .557 .911 .828 .387 .084 .007 .000 .023 .202 .544 .763 .550 .193 .024 .000 .009 .020 .191 .466 .545 .312 .084 .004 .009 .029 .018 .165 .360 .370 .190 .048 .001 .016 .044 846 -.156 5046 -.031 20.95901 .009642 .044208 .005608 Correlation Surface at 946 5046 .077 .009 .077 .424 .543 .374 .175 .021 .002 .104 .006 .085 .409 .580 .395 .117 .002 .009 .113 .005 .081 .393 .617 .406 .093 .005 .003 .112 .006 .083 .441 .792 .528 .154 .044 .000 .112 .009 .079 .497 1.000 .634 .228 .082 .001 .115 .015 .053 .424 .912 .536 .202 .074 .001 .115 .022 .026 .294 .646 .375 .151 .063 .004 .125 .021 .025 .253 .505 .303 .125 .056 .017 .144 .016 .045 .309 .505 .291 .090 .040 .032 r_peak,r_snr = .3028016 10.77217 Correlation Surface of oversamples image at 946 5046 .108 .263 .490 .671 .673 .503 .289 .121 .028 .093 .252 .494 .702 .733 .562 .324 .141 .044 .093 .265 .531 .776 .833 .644 .369 .171 .073 .105 .297 .592 .877 .941 .712 .399 .198 .107 .120 .329 .650 .958 1.000 .721 .393 .207 .129 .127 .337 .664 .960 .959 .654 .347 .193 .134 .114 .306 .607 .858 .822 .536 .281 .165 .124 .089 .250 .502 .703 .656 .420 .221 .137 .110 .064 .193 .398 .560 .524 .340 .184 .117 .097 946 .281 5046 -.844 10.77217 .004857 .034230 -.000389 Correlation Surface at 1046 5046 .322 .019 .021 .000 .227 .150 .006 .000 .000 .015 .017 .034 .000 .040 .228 .001 .006 .020 .370 .881 .030 .007 .133 .831 1.000 .056 .002 .247 .717 .621 .001 .011 .200 .351 .343 .083 .025 .100 .189 .230 .131 .012 .083 .237 .211 r_peak,r_snr = .114549 6.54085 Correlation Surface of oversamples image at 1046 5046 .017 .014 .092 .130 .153 .184 .180 .114 .037 .005 .035 .154 .277 .399 .427 .320 .168 .067 .000 .076 .258 .499 .693 .641 .406 .201 .102 .016 .140 .400 .737 .917 .734 .410 .205 .127 .053 .223 .550 .910 1.000 .708 .366 .195 .144 .093 .306 .655 .953 .935 .611 .311 .182 .156 .114 .355 .673 .863 .776 .492 .262 .168 .161 .109 .355 .611 .712 .606 .388 .224 .152 .150 .086 .312 .508 .555 .456 .303 .188 .125 .112 1046 13.313 5046 -9.844 6.54085 .084397 .122654 .035745 Correlation Surface at 1146 5046 .006 .016 .008 .020 .116 .093 .031 .000 .024 .011 .027 .010 .042 .194 .175 .048 .010 .048 .030 .041 .009 .075 .415 .470 .042 .045 .027 .072 .057 .006 .112 .819 .659 .004 .054 .000 .124 .051 .003 .175 1.000 .403 .008 .012 .011 .110 .021 .002 .209 .671 .135 .003 .001 .008 .048 .004 .003 .155 .320 .089 .012 .004 .007 .023 .006 .011 .090 .189 .149 .056 .006 .035 .026 .029 .029 .053 .151 .221 .079 .025 .078 r_peak,r_snr = .1927036 19.87264 Correlation Surface of oversamples image at 1146 5046 .009 .029 .094 .188 .238 .212 .155 .086 .022 .005 .033 .132 .287 .387 .354 .237 .102 .016 .002 .041 .195 .448 .610 .527 .297 .090 .005 .001 .055 .285 .655 .850 .654 .294 .054 .000 .000 .076 .390 .846 1.000 .664 .228 .019 .006 .001 .103 .476 .936 .980 .550 .138 .002 .012 .002 .128 .503 .873 .799 .376 .066 .000 .007 .006 .142 .459 .697 .563 .229 .032 .000 .000 .013 .139 .365 .495 .372 .147 .026 .003 .006 1146 .344 5046 -.688 19.87265 .005882 .041815 .007590 Correlation Surface at 1246 5046 .030 .065 .101 .199 .401 .316 .089 .023 .015 .031 .066 .067 .147 .386 .225 .083 .033 .015 .027 .062 .038 .165 .428 .251 .145 .050 .013 .025 .040 .034 .262 .681 .480 .217 .051 .017 .016 .014 .034 .349 1.000 .630 .201 .048 .031 .007 .004 .022 .337 .903 .432 .164 .069 .048 .004 .005 .019 .287 .523 .246 .173 .101 .059 .004 .012 .033 .234 .316 .214 .164 .093 .065 .002 .010 .032 .185 .278 .224 .113 .082 .073 r_peak,r_snr = .2571052 14.05191 Correlation Surface of oversamples image at 1246 5046 .050 .091 .219 .407 .509 .450 .316 .205 .139 .049 .112 .278 .518 .661 .607 .434 .266 .163 .047 .124 .324 .627 .831 .782 .545 .305 .169 .038 .113 .330 .693 .962 .906 .599 .310 .166 .024 .086 .301 .699 1.000 .918 .573 .293 .168 .011 .058 .260 .654 .930 .814 .497 .274 .185 .005 .044 .230 .582 .787 .661 .419 .271 .216 .005 .044 .220 .505 .631 .524 .369 .285 .251 .010 .057 .222 .436 .505 .432 .348 .303 .267 1246 .156 5046 .406 14.05192 .005058 .026790 .001453 Correlation Surface at 1346 5046 .010 .028 .092 .197 .280 .264 .118 .072 .073 .030 .049 .103 .220 .374 .319 .132 .092 .089 .046 .056 .095 .254 .518 .392 .131 .072 .078 .047 .049 .085 .329 .749 .497 .111 .040 .062 .039 .038 .087 .445 1.000 .575 .093 .028 .062 .031 .031 .095 .503 .975 .493 .083 .032 .075 .031 .030 .095 .403 .643 .309 .071 .042 .097 .032 .032 .080 .245 .365 .199 .066 .055 .126 .023 .036 .066 .169 .279 .188 .075 .072 .147 r_peak,r_snr = .3934672 9.8981 Correlation Surface of oversamples image at 1346 5046 .101 .177 .314 .494 .628 .609 .447 .254 .119 .093 .179 .344 .566 .731 .702 .495 .258 .103 .087 .187 .385 .656 .850 .803 .541 .258 .089 .084 .199 .433 .746 .955 .879 .567 .251 .078 .084 .214 .473 .803 1.000 .892 .552 .231 .070 .086 .223 .483 .790 .950 .819 .488 .199 .062 .089 .223 .454 .705 .816 .680 .396 .163 .055 .093 .209 .391 .573 .639 .520 .301 .129 .049 .092 .182 .310 .430 .468 .377 .223 .104 .047 1346 .094 5046 -.531 9.89810 .002281 .018935 .001355 Correlation Surface at 1446 5046 .077 .033 .005 .035 .140 .217 .248 .220 .249 .065 .016 .002 .033 .134 .295 .258 .191 .189 .021 .008 .003 .037 .223 .414 .203 .158 .144 .005 .014 .012 .105 .595 .542 .133 .092 .085 .013 .049 .061 .318 1.000 .485 .071 .041 .042 .038 .124 .135 .434 .747 .312 .058 .041 .015 .059 .147 .122 .242 .285 .224 .107 .075 .004 .050 .074 .052 .081 .151 .249 .189 .078 .006 .019 .014 .018 .046 .189 .277 .211 .069 .022 r_peak,r_snr = .2210113 14.97213 Correlation Surface of oversamples image at 1446 5046 .007 .000 .020 .105 .249 .381 .392 .274 .161 .005 .000 .040 .192 .422 .562 .477 .274 .145 .002 .004 .080 .333 .659 .752 .529 .258 .125 .000 .015 .148 .513 .891 .870 .517 .224 .100 .007 .042 .234 .667 1.000 .839 .440 .180 .075 .029 .085 .312 .715 .911 .671 .334 .140 .057 .060 .128 .340 .621 .671 .455 .240 .116 .052 .081 .143 .295 .435 .409 .281 .183 .111 .062 .076 .122 .205 .253 .225 .187 .168 .129 .090 1446 .094 5046 -.031 14.97214 .006005 .018379 .004210 Correlation Surface at 1546 5046 .023 .010 .051 .123 .298 .313 .168 .070 .065 .003 .016 .047 .215 .468 .419 .169 .072 .079 .000 .013 .060 .304 .667 .569 .168 .077 .136 .000 .002 .051 .318 .933 .685 .166 .104 .210 .011 .001 .024 .303 1.000 .630 .168 .157 .241 .035 .008 .008 .252 .763 .492 .171 .206 .229 .039 .013 .003 .199 .552 .398 .191 .229 .226 .027 .019 .009 .214 .499 .389 .275 .270 .236 .029 .017 .038 .261 .476 .463 .455 .332 .237 r_peak,r_snr = .2658957 6.95206 Correlation Surface of oversamples image at 1546 5046 .046 .137 .294 .491 .666 .678 .505 .297 .160 .041 .132 .299 .541 .778 .788 .551 .293 .148 .029 .112 .293 .600 .899 .882 .575 .285 .140 .015 .088 .286 .658 .989 .923 .572 .277 .139 .005 .067 .278 .685 1.000 .891 .543 .271 .145 .001 .050 .259 .650 .918 .801 .499 .264 .156 .000 .036 .226 .564 .780 .687 .446 .252 .165 .002 .027 .190 .469 .646 .584 .393 .237 .175 .003 .024 .166 .399 .550 .506 .349 .227 .192 1546 .156 5046 -.281 6.95206 .004260 .044522 .001306 Correlation Surface at 1646 5046 .033 .007 .000 .008 .020 .021 .016 .000 .000 .042 .020 .015 .047 .005 .055 .019 .004 .009 .102 .058 .042 .028 .054 .193 .048 .012 .064 .160 .083 .033 .014 .539 .384 .061 .001 .138 .126 .076 .012 .222 1.000 .312 .019 .037 .157 .044 .087 .010 .297 .619 .135 .005 .030 .119 .012 .110 .019 .114 .243 .084 .012 .006 .074 .021 .097 .028 .037 .180 .090 .022 .002 .046 .040 .053 .028 .033 .192 .082 .016 .011 .038 r_peak,r_snr = .1654268 24.38107 Correlation Surface of oversamples image at 1646 5046 .014 .025 .009 .007 .091 .200 .217 .156 .104 .017 .016 .000 .081 .285 .394 .306 .175 .107 .012 .002 .033 .272 .590 .590 .339 .147 .074 .004 .003 .133 .557 .883 .680 .293 .092 .032 .000 .026 .277 .810 1.000 .611 .201 .043 .007 .000 .056 .391 .885 .884 .445 .119 .018 .001 .000 .074 .411 .758 .634 .280 .070 .010 .000 .000 .075 .349 .545 .405 .179 .053 .013 .004 .000 .065 .260 .364 .270 .140 .057 .023 .016 1646 -.156 5046 .125 24.38108 .006918 .021334 .004962 Correlation Surface at 1746 5046 .086 .163 .329 .497 .505 .521 .451 .370 .331 .076 .162 .326 .493 .544 .592 .478 .371 .309 .079 .173 .346 .525 .663 .727 .504 .349 .265 .083 .187 .368 .558 .846 .887 .549 .368 .255 .091 .193 .366 .602 1.000 .962 .627 .424 .270 .100 .186 .352 .631 .977 .936 .681 .437 .274 .106 .190 .348 .597 .844 .845 .621 .394 .277 .113 .221 .347 .536 .743 .701 .508 .372 .302 .115 .233 .337 .527 .695 .585 .438 .383 .318 r_peak,r_snr = .4543939 4.92215 Correlation Surface of oversamples image at 1746 5046 .487 .570 .623 .682 .742 .748 .660 .525 .413 .487 .579 .665 .765 .842 .823 .692 .529 .408 .478 .583 .708 .850 .935 .883 .716 .541 .419 .463 .586 .749 .917 .993 .909 .728 .558 .438 .449 .591 .777 .948 1.000 .901 .731 .577 .458 .442 .598 .788 .940 .971 .877 .734 .595 .470 .441 .603 .782 .908 .926 .849 .730 .598 .466 .444 .604 .763 .866 .880 .819 .712 .580 .447 .446 .595 .736 .824 .837 .780 .675 .546 .421 1746 .438 5046 -.156 4.92215 .005411 .027198 .000781 Correlation Surface at 1846 5046 .031 .000 .051 .183 .324 .258 .092 .083 .056 .022 .003 .095 .219 .318 .234 .129 .121 .042 .011 .025 .134 .234 .396 .364 .204 .121 .037 .006 .026 .105 .267 .722 .579 .236 .110 .040 .012 .003 .050 .321 1.000 .566 .226 .123 .044 .024 .001 .018 .294 .804 .418 .287 .172 .054 .023 .001 .011 .208 .514 .440 .445 .240 .076 .012 .000 .018 .176 .445 .559 .571 .290 .120 .013 .000 .037 .206 .443 .571 .585 .304 .193 r_peak,r_snr = .3063098 8.6195 Correlation Surface of oversamples image at 1846 5046 .139 .160 .183 .239 .350 .450 .422 .305 .223 .119 .133 .171 .283 .482 .623 .537 .357 .248 .081 .106 .183 .385 .688 .811 .612 .366 .242 .045 .086 .218 .530 .897 .919 .597 .327 .221 .022 .076 .260 .654 1.000 .883 .506 .276 .212 .011 .069 .282 .684 .933 .728 .400 .251 .239 .006 .062 .264 .601 .745 .550 .331 .274 .314 .005 .051 .217 .465 .551 .428 .328 .358 .439 .005 .043 .170 .353 .428 .391 .394 .497 .592 1846 .156 5046 -.063 8.61950 .003029 .014283 .000914 Correlation Surface at 1946 5046 .018 .029 .051 .007 .031 .012 .001 .001 .000 .023 .046 .036 .006 .077 .020 .003 .010 .001 .034 .028 .037 .010 .230 .098 .029 .025 .012 .020 .019 .108 .010 .692 .224 .032 .014 .015 .002 .053 .162 .031 1.000 .187 .005 .007 .000 .004 .112 .118 .014 .505 .081 .004 .003 .008 .075 .120 .099 .002 .096 .048 .010 .000 .006 .255 .126 .097 .008 .012 .035 .002 .002 .012 .352 .238 .092 .016 .001 .009 .000 .001 .014 r_peak,r_snr = .1455497 12.80687 Correlation Surface of oversamples image at 1946 5046 .036 .025 .001 .024 .108 .144 .076 .005 .018 .064 .041 .000 .069 .237 .301 .163 .011 .020 .103 .051 .002 .147 .442 .555 .271 .017 .016 .137 .046 .013 .283 .770 .800 .284 .012 .010 .142 .030 .040 .455 1.000 .794 .225 .010 .001 .104 .010 .072 .475 .800 .554 .154 .014 .003 .058 .002 .063 .297 .454 .303 .087 .019 .013 .039 .006 .014 .112 .194 .127 .046 .025 .017 .036 .021 .001 .017 .045 .036 .029 .028 .011 1946 .156 5046 -.063 12.80687 .004286 .026577 .001214 Correlation Surface at 2046 5046 .454 .432 .489 .508 .614 .644 .570 .421 .302 .456 .469 .545 .590 .682 .698 .578 .438 .318 .438 .513 .578 .680 .758 .715 .564 .462 .334 .384 .480 .601 .784 .890 .690 .534 .485 .365 .334 .443 .632 .935 1.000 .636 .495 .515 .392 .339 .471 .635 .996 .952 .574 .491 .528 .375 .385 .473 .558 .854 .809 .568 .537 .515 .319 .381 .407 .470 .690 .745 .634 .588 .483 .277 .331 .385 .461 .648 .734 .689 .569 .425 .256 r_peak,r_snr = .4188287 3.08131 Correlation Surface of oversamples image at 2046 5046 .509 .560 .607 .644 .687 .721 .700 .628 .547 .479 .550 .621 .695 .773 .796 .721 .612 .525 .457 .545 .646 .768 .872 .856 .721 .585 .496 .451 .549 .683 .851 .957 .885 .702 .551 .466 .459 .560 .724 .921 1.000 .874 .669 .518 .440 .466 .565 .749 .944 .980 .828 .629 .489 .423 .460 .554 .736 .903 .906 .764 .592 .471 .420 .436 .522 .684 .813 .809 .704 .569 .473 .439 .399 .475 .607 .705 .717 .658 .561 .493 .475 2046 .375 5046 -.313 3.08131 .010404 .057003 .013982 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .076 .142 .128 .239 .434 .281 .131 .002 .109 .102 .105 .100 .175 .397 .303 .116 .011 .226 .089 .092 .085 .190 .580 .440 .101 .031 .276 .033 .068 .068 .278 .957 .668 .123 .021 .197 .000 .016 .033 .291 1.000 .671 .118 .017 .105 .034 .008 .011 .194 .631 .439 .059 .024 .062 .095 .035 .022 .125 .321 .277 .040 .018 .049 .091 .014 .052 .095 .206 .252 .080 .000 .030 .055 .000 .018 .069 .171 .226 .127 .013 .012 r_peak,r_snr = .1733962 13.82114 Correlation Surface of oversamples image at 146 5446 .093 .114 .174 .291 .391 .389 .313 .211 .099 .076 .098 .181 .361 .528 .534 .407 .242 .094 .060 .090 .209 .471 .717 .717 .513 .271 .089 .048 .089 .249 .593 .903 .885 .602 .295 .086 .035 .087 .276 .667 1.000 .958 .630 .297 .079 .021 .078 .272 .650 .954 .896 .582 .269 .065 .010 .063 .232 .543 .780 .731 .479 .219 .048 .004 .047 .175 .389 .551 .529 .359 .162 .032 .002 .038 .125 .252 .356 .363 .262 .119 .023 146 .188 5446 -.438 13.82114 .010450 .064063 .002199 Correlation Surface at 246 5446 .444 .289 .372 .171 .113 .048 .000 .053 .155 .379 .322 .175 .031 .053 .036 .002 .010 .016 .412 .288 .001 .007 .135 .093 .092 .047 .032 .355 .167 .003 .142 .682 .367 .411 .161 .040 .153 .110 .068 .504 1.000 .647 .589 .092 .000 .019 .107 .252 .357 .301 .480 .509 .058 .003 r_peak,r_snr = 9.79651E-02 9.21001 Correlation Surface of oversamples image at 246 5446 .058 .024 .040 .086 .125 .110 .043 .000 .038 .003 .001 .035 .147 .232 .183 .060 .000 .030 .009 .000 .081 .328 .469 .328 .099 .004 .009 .021 .005 .218 .647 .797 .497 .150 .020 .000 .006 .050 .431 .947 1.000 .570 .185 .049 .017 .005 .152 .574 .963 .873 .474 .182 .085 .053 .059 .239 .507 .639 .492 .275 .150 .119 .096 .129 .223 .272 .228 .140 .098 .107 .146 .129 .136 .119 .060 .014 .002 .012 .069 .149 .130 246 .750 5446 12.656 9.21001 .053579 .033992 .004664 Correlation Surface at 346 5446 .068 .385 .665 .589 .273 .171 .021 .013 .000 .201 .486 .507 .354 .217 .204 .019 .003 .102 .150 .291 .156 .112 .285 .354 .056 .129 .388 .084 .131 .049 .152 .699 .507 .103 .149 .272 .061 .073 .089 .436 1.000 .482 .116 .016 .035 .009 .019 .156 .538 .756 .414 .094 .016 .000 .004 .001 .116 .281 .421 .319 .039 .050 .008 .004 .003 .094 .125 .209 .132 .006 .016 .015 .001 .074 .190 .152 .118 .032 .003 .000 .017 r_peak,r_snr = .1126632 6.73022 Correlation Surface of oversamples image at 346 5446 .051 .762 2.203 3.476 4.000 3.656 2.732 1.808 1.284 .390 1.344 2.888 3.927 3.887 3.116 2.174 1.544 1.329 .791 1.724 3.056 3.581 3.038 2.122 1.440 1.244 1.398 1.003 1.746 2.568 2.517 1.779 1.091 .841 1.084 1.612 .941 1.431 1.743 1.405 .808 .476 .576 1.211 2.080 346 7.938 5446 3.219 6.73022 .029237 .114641 .025074 Correlation Surface at 446 5446 .069 .056 .037 .190 .628 .434 .157 .052 .021 .050 .020 .016 .160 .649 .594 .233 .034 .032 .037 .025 .037 .192 .762 .863 .257 .024 .064 .054 .076 .085 .260 .928 .993 .227 .036 .103 .079 .106 .083 .278 1.000 .887 .199 .053 .097 .056 .056 .039 .235 .928 .747 .193 .053 .061 .015 .013 .017 .197 .786 .662 .207 .037 .045 .002 .003 .022 .215 .646 .583 .234 .032 .056 .003 .005 .052 .241 .485 .548 .314 .063 .099 r_peak,r_snr = .2194131 9.74508 Correlation Surface of oversamples image at 446 5446 .044 .137 .335 .564 .654 .544 .338 .161 .063 .055 .156 .374 .641 .764 .648 .395 .170 .057 .076 .192 .442 .745 .882 .741 .436 .175 .058 .102 .237 .516 .835 .967 .795 .451 .177 .065 .124 .278 .571 .885 1.000 .799 .438 .175 .077 .135 .301 .595 .895 .983 .754 .399 .167 .087 .130 .300 .592 .878 .932 .679 .347 .155 .093 .117 .284 .574 .847 .861 .595 .299 .143 .094 .099 .259 .542 .791 .773 .515 .261 .134 .088 446 -.594 5446 .188 9.74508 .009746 .321203 .018078 Correlation Surface at 546 5446 .127 .055 .039 .075 .122 .240 .192 .128 .089 .019 .014 .031 .078 .218 .327 .201 .111 .065 .000 .017 .029 .099 .399 .475 .270 .132 .075 .005 .029 .028 .189 .703 .611 .309 .171 .087 .031 .040 .061 .384 1.000 .641 .282 .169 .076 .066 .070 .157 .520 .885 .471 .205 .101 .091 .110 .121 .225 .404 .435 .241 .113 .055 .144 .129 .112 .155 .161 .154 .144 .068 .063 .148 .092 .037 .036 .031 .090 .144 .077 .096 .113 r_peak,r_snr = .2025448 10.58467 Correlation Surface of oversamples image at 546 5446 .025 .086 .213 .380 .519 .575 .527 .420 .328 .037 .122 .296 .506 .655 .682 .585 .438 .323 .055 .175 .405 .654 .800 .789 .635 .440 .303 .083 .245 .528 .799 .933 .880 .670 .429 .276 .119 .320 .634 .899 1.000 .910 .663 .400 .243 .155 .380 .686 .900 .944 .831 .589 .344 .206 .180 .403 .655 .779 .762 .651 .457 .270 .169 .184 .375 .540 .571 .520 .437 .313 .198 .137 .155 .293 .369 .342 .292 .252 .193 .137 .110 546 .000 5446 1.531 10.58467 .011304 .055334 .011724 Correlation Surface at 646 5446 .152 .118 .168 .373 .562 .365 .237 .241 .338 .114 .113 .208 .382 .472 .378 .257 .241 .406 .069 .125 .250 .423 .587 .539 .292 .233 .438 .065 .157 .264 .536 .878 .688 .295 .217 .391 .111 .166 .226 .617 1.000 .653 .288 .228 .341 .164 .134 .162 .533 .816 .540 .319 .294 .315 .166 .099 .119 .407 .664 .499 .387 .360 .300 .142 .080 .106 .385 .644 .489 .409 .357 .265 .145 .069 .109 .410 .580 .414 .358 .296 .207 r_peak,r_snr = .2871836 4.13601 Correlation Surface of oversamples image at 646 5446 .358 .442 .559 .693 .765 .734 .627 .476 .317 .365 .452 .591 .761 .858 .824 .688 .504 .326 .350 .449 .625 .833 .945 .895 .731 .523 .338 .316 .436 .649 .882 .994 .930 .749 .535 .353 .276 .418 .658 .896 1.000 .928 .745 .541 .370 .242 .399 .650 .879 .970 .899 .729 .543 .390 .218 .382 .626 .835 .913 .849 .697 .535 .409 .205 .366 .592 .774 .841 .786 .650 .517 .426 .201 .356 .560 .717 .776 .723 .600 .493 .436 646 .063 5446 -.188 4.13601 .007719 .037605 .002819 Correlation Surface at 746 5446 .001 .004 .001 .107 .281 .306 .120 .010 .018 .000 .003 .018 .203 .323 .282 .049 .002 .017 .006 .008 .036 .252 .492 .364 .038 .002 .020 .030 .015 .040 .298 .796 .508 .056 .007 .025 .041 .015 .037 .370 1.000 .627 .076 .006 .012 .027 .011 .026 .370 .914 .593 .059 .000 .003 .009 .005 .010 .289 .749 .501 .039 .000 .011 .009 .005 .000 .242 .783 .529 .061 .008 .037 .041 .022 .007 .246 .936 .699 .154 .039 .033 r_peak,r_snr = .1873121 11.31624 Correlation Surface of oversamples image at 746 5446 .075 .442 1.328 2.143 2.267 1.747 .873 .195 .001 .021 .292 1.134 2.037 2.313 1.828 .886 .195 .003 .000 .175 1.018 2.131 2.630 2.122 1.053 .285 .026 .016 .126 1.060 2.512 3.284 2.720 1.484 .553 .144 746 .063 5446 .844 11.31624 .009914 .113725 .000316 Correlation Surface at 846 5446 .012 .005 .055 .005 .132 .238 .026 .005 .003 .012 .017 .073 .001 .164 .231 .004 .017 .001 .011 .022 .087 .000 .278 .229 .001 .005 .002 .006 .029 .094 .023 .602 .316 .020 .007 .004 .002 .044 .079 .148 1.000 .405 .071 .026 .000 .004 .052 .035 .272 .988 .370 .084 .013 .002 .006 .053 .005 .225 .656 .263 .049 .003 .000 .001 .048 .001 .145 .515 .225 .021 .002 .007 .001 .023 .000 .137 .618 .234 .010 .003 .014 r_peak,r_snr = .167217 18.4383 Correlation Surface of oversamples image at 846 5446 .078 .013 .012 .141 .335 .315 .099 .000 .037 .072 .007 .035 .240 .480 .417 .147 .009 .011 .073 .001 .083 .389 .672 .562 .229 .037 .000 .071 .001 .161 .568 .873 .714 .320 .079 .008 .061 .010 .247 .707 1.000 .793 .365 .100 .015 .043 .026 .299 .745 .982 .742 .327 .083 .011 .023 .042 .299 .669 .824 .579 .226 .044 .003 .007 .052 .263 .537 .617 .390 .124 .015 .000 .000 .057 .222 .414 .441 .246 .060 .004 .000 846 .031 5446 -.813 18.43831 .006329 .071979 .007116 Correlation Surface at 946 5446 .043 .001 .020 .287 .423 .285 .070 .005 .001 .012 .015 .077 .211 .464 .420 .012 .023 .009 .019 .072 .103 .177 .673 .493 .000 .058 .001 .078 .102 .070 .229 .975 .457 .000 .040 .006 .176 .111 .069 .314 1.000 .332 .004 .023 .006 .226 .153 .094 .296 .694 .292 .031 .005 .007 .179 .149 .070 .170 .423 .328 .085 .003 .066 .107 .076 .030 .115 .357 .265 .080 .046 .212 .087 .038 .047 .146 .303 .107 .059 .105 .184 r_peak,r_snr = .1369763 9.21547 Correlation Surface of oversamples image at 946 5446 .105 .243 .407 .542 .620 .535 .283 .080 .006 .098 .200 .374 .606 .774 .618 .226 .012 .022 .095 .174 .365 .686 .904 .632 .151 .002 .094 .093 .165 .385 .781 .984 .591 .097 .015 .135 .099 .183 .444 .880 1.000 .523 .074 .014 .117 .117 .228 .529 .947 .942 .444 .069 .004 .081 .149 .292 .618 .958 .831 .374 .080 .000 .059 .193 .364 .690 .916 .711 .338 .109 .005 .048 .236 .417 .706 .823 .613 .345 .153 .016 .036 946 .344 5446 -.500 9.21547 .010853 .173738 .011928 Correlation Surface at 1046 5446 .004 .023 .168 .245 .077 .006 .275 .018 .025 .247 .262 .100 .043 .260 .000 .080 .228 .273 .221 .141 .113 .053 .175 .295 .535 .652 .327 .096 .147 .258 .398 .894 1.000 .492 .146 .186 .217 .352 .827 .574 .361 .068 .110 .147 .280 .448 .174 .147 .005 .034 .183 .298 .260 .103 .058 .009 .011 .314 .324 .219 .085 .061 .099 r_peak,r_snr = .1103778 9.6019 Correlation Surface of oversamples image at 1046 5446 .230 .216 .193 .221 .259 .228 .204 .236 .246 .184 .170 .198 .295 .388 .374 .338 .319 .253 .171 .180 .276 .463 .603 .580 .494 .405 .285 .189 .240 .426 .708 .854 .766 .602 .464 .326 .220 .323 .597 .922 1.000 .811 .597 .461 .339 .234 .378 .694 .973 .927 .672 .478 .384 .290 .211 .370 .659 .822 .672 .435 .313 .263 .190 .168 .321 .540 .583 .405 .242 .185 .157 .095 .137 .276 .420 .383 .237 .144 .121 .093 .040 1046 11.281 5446 1.219 9.60190 .076561 .052268 .010988 Correlation Surface at 1146 5446 .000 .002 .021 .211 .206 .022 .013 .001 .023 .007 .002 .018 .192 .169 .054 .028 .000 .009 .002 .001 .011 .126 .254 .217 .043 .012 .003 .029 .003 .005 .166 .643 .340 .044 .079 .038 .109 .009 .013 .361 1.000 .228 .065 .200 .076 .054 .003 .062 .527 .694 .111 .148 .271 .088 .000 .005 .135 .425 .277 .089 .235 .207 .051 .004 .019 .124 .266 .125 .087 .203 .090 .008 .001 .007 .065 .195 .093 .090 .154 .045 .000 r_peak,r_snr = .1912477 21.54176 Correlation Surface of oversamples image at 1146 5446 .000 .022 .093 .197 .267 .244 .148 .060 .017 .000 .014 .102 .281 .441 .420 .239 .085 .026 .001 .019 .155 .448 .688 .599 .293 .091 .032 .000 .042 .263 .675 .917 .680 .278 .076 .033 .004 .096 .414 .877 1.000 .620 .214 .057 .035 .024 .183 .556 .943 .887 .464 .145 .046 .043 .063 .267 .606 .824 .643 .294 .095 .046 .058 .107 .305 .535 .594 .393 .167 .069 .055 .075 .136 .280 .396 .370 .216 .096 .059 .068 .087 1146 -.188 5446 .125 21.54176 .005736 .025056 .004934 Correlation Surface at 1246 5446 .099 .139 .266 .339 .369 .463 .360 .185 .167 .106 .167 .278 .318 .436 .497 .263 .121 .214 .121 .158 .191 .308 .599 .579 .245 .137 .247 .117 .104 .122 .343 .810 .689 .277 .213 .243 .084 .064 .101 .397 1.000 .668 .278 .264 .203 .046 .045 .089 .444 .999 .540 .285 .286 .156 .030 .041 .105 .465 .784 .493 .377 .325 .113 .036 .059 .177 .453 .609 .556 .492 .341 .083 .052 .120 .282 .419 .549 .605 .501 .280 .086 r_peak,r_snr = .3047047 6.05558 Correlation Surface of oversamples image at 1246 5446 .103 .165 .294 .486 .684 .779 .702 .522 .363 .104 .187 .344 .564 .779 .867 .758 .555 .391 .111 .213 .392 .639 .872 .939 .783 .559 .401 .121 .238 .436 .711 .952 .970 .763 .536 .395 .133 .262 .481 .777 1.000 .952 .713 .504 .387 .147 .289 .524 .818 .994 .892 .658 .486 .394 .166 .319 .553 .817 .935 .815 .622 .497 .427 .193 .349 .563 .777 .850 .751 .621 .543 .487 .230 .377 .556 .719 .773 .718 .651 .609 .554 1246 .156 5446 -.438 6.05558 .004738 .079481 .007222 Correlation Surface at 1346 5446 .153 .198 .276 .363 .399 .314 .257 .205 .265 .097 .189 .314 .328 .367 .381 .271 .185 .284 .086 .231 .290 .273 .471 .584 .298 .230 .349 .151 .249 .209 .273 .752 .777 .334 .281 .379 .202 .184 .162 .363 1.000 .747 .337 .288 .364 .144 .122 .171 .456 .894 .555 .320 .293 .389 .085 .100 .194 .458 .627 .432 .312 .327 .461 .079 .096 .197 .396 .491 .395 .319 .407 .521 .085 .107 .226 .370 .449 .339 .346 .499 .472 r_peak,r_snr = .2959635 4.53671 Correlation Surface of oversamples image at 1346 5446 .332 .337 .412 .546 .655 .638 .504 .354 .267 .305 .338 .469 .667 .791 .730 .546 .378 .291 .282 .351 .548 .802 .916 .796 .574 .403 .318 .267 .379 .639 .924 .996 .816 .578 .421 .343 .264 .412 .710 .987 1.000 .783 .563 .432 .366 .272 .442 .737 .963 .925 .716 .542 .444 .388 .286 .459 .715 .874 .810 .644 .524 .450 .400 .297 .457 .659 .758 .698 .588 .509 .448 .403 .300 .440 .588 .647 .613 .551 .493 .436 .397 1346 .281 5446 -.063 4.53671 .005416 .028854 .004907 Correlation Surface at 1446 5446 .027 .034 .040 .189 .406 .332 .198 .160 .099 .043 .019 .024 .158 .391 .356 .211 .135 .094 .049 .014 .024 .146 .528 .481 .218 .158 .103 .041 .023 .037 .246 .907 .600 .253 .197 .107 .025 .027 .046 .390 1.000 .494 .254 .179 .115 .012 .019 .042 .355 .589 .296 .206 .155 .124 .014 .009 .034 .214 .290 .240 .200 .172 .104 .022 .003 .029 .145 .290 .336 .278 .190 .071 .020 .001 .036 .160 .430 .471 .356 .166 .068 r_peak,r_snr = .2751942 9.90088 Correlation Surface of oversamples image at 1446 5446 .043 .084 .168 .298 .430 .504 .483 .392 .296 .044 .083 .180 .352 .538 .629 .556 .403 .291 .050 .095 .222 .463 .714 .784 .618 .410 .300 .058 .117 .293 .614 .901 .895 .634 .407 .316 .063 .143 .372 .745 1.000 .893 .590 .388 .321 .064 .165 .425 .785 .947 .776 .503 .356 .308 .063 .176 .428 .708 .772 .603 .411 .323 .282 .060 .174 .384 .562 .567 .449 .345 .301 .258 .058 .162 .318 .420 .416 .362 .322 .297 .247 1446 .094 5446 -.469 9.90088 .004171 .016599 .002609 Correlation Surface at 1546 5446 .000 .005 .012 .057 .218 .097 .101 .043 .003 .010 .002 .062 .136 .133 .066 .081 .031 .001 .045 .006 .168 .181 .195 .162 .036 .021 .015 .079 .016 .184 .210 .564 .309 .026 .023 .010 .061 .016 .102 .340 1.000 .392 .071 .017 .001 .026 .003 .066 .527 .981 .506 .163 .007 .008 .021 .001 .097 .520 .655 .529 .202 .013 .001 .037 .002 .122 .321 .354 .329 .167 .050 .001 .052 .002 .059 .147 .173 .169 .163 .083 .006 r_peak,r_snr = .1774316 10.33226 Correlation Surface of oversamples image at 1546 5446 .209 .271 .261 .263 .293 .283 .164 .041 .001 .223 .265 .292 .382 .490 .438 .210 .041 .001 .189 .238 .344 .561 .728 .581 .252 .055 .004 .139 .223 .433 .768 .926 .674 .302 .094 .022 .104 .236 .542 .917 1.000 .706 .368 .166 .065 .093 .276 .623 .929 .926 .686 .442 .257 .120 .108 .327 .636 .807 .765 .640 .502 .333 .161 .137 .358 .562 .612 .589 .575 .515 .358 .169 .153 .326 .418 .416 .435 .485 .460 .316 .145 1546 -.156 5446 .563 10.33226 .007155 .048477 .002193 Correlation Surface at 1646 5446 .000 .089 .125 .012 .061 .056 .130 .012 .021 .007 .032 .029 .000 .027 .135 .227 .000 .001 .003 .039 .043 .015 .163 .310 .176 .008 .064 .001 .038 .070 .144 .690 .435 .180 .168 .060 .013 .000 .032 .414 1.000 .324 .241 .401 .007 .102 .083 .009 .511 .584 .184 .293 .340 .001 .125 .133 .025 .340 .296 .158 .284 .156 .002 .071 .042 .062 .211 .268 .167 .227 .045 .003 .033 .002 .046 .128 .251 .204 .222 .000 .021 r_peak,r_snr = .1084189 11.96131 Correlation Surface of oversamples image at 1646 5446 .022 .007 .000 .003 .060 .195 .284 .264 .143 .042 .018 .009 .055 .242 .436 .400 .232 .089 .057 .034 .052 .220 .563 .683 .429 .171 .064 .050 .052 .145 .485 .882 .789 .360 .116 .068 .026 .067 .263 .718 1.000 .691 .246 .085 .103 .007 .076 .348 .773 .854 .472 .148 .082 .175 .001 .089 .370 .652 .586 .278 .101 .113 .273 .003 .117 .345 .482 .374 .184 .112 .187 .364 .020 .157 .309 .358 .273 .178 .177 .290 .404 1646 .000 5446 -.031 11.96131 .022442 .069677 .017483 Correlation Surface at 1746 5446 .006 .000 .025 .057 .123 .167 .187 .041 .000 .039 .002 .057 .029 .103 .189 .192 .034 .001 .061 .020 .055 .053 .367 .463 .120 .005 .003 .024 .039 .040 .174 .920 .581 .017 .000 .003 .003 .028 .037 .277 1.000 .366 .003 .009 .000 .000 .011 .025 .205 .701 .236 .018 .040 .014 .002 .001 .003 .134 .587 .220 .034 .058 .030 .001 .000 .000 .192 .590 .147 .025 .062 .017 .002 .004 .008 .264 .354 .043 .018 .051 .001 r_peak,r_snr = .1743185 20.24098 Correlation Surface of oversamples image at 1746 5446 .060 .045 .047 .096 .177 .237 .260 .236 .169 .050 .038 .063 .170 .340 .447 .405 .262 .135 .041 .041 .107 .314 .605 .715 .517 .237 .083 .038 .058 .184 .503 .874 .902 .528 .180 .044 .043 .086 .269 .649 1.000 .903 .451 .129 .028 .049 .112 .314 .665 .919 .751 .351 .104 .031 .047 .114 .290 .557 .723 .573 .284 .106 .047 .035 .089 .219 .416 .548 .460 .261 .122 .068 .018 .055 .152 .322 .465 .429 .269 .136 .079 1746 .188 5446 -.563 20.24098 .007226 .083172 .008914 Correlation Surface at 1846 5446 .273 .384 .372 .564 .662 .510 .477 .304 .133 .265 .333 .398 .508 .694 .692 .533 .301 .172 .242 .301 .359 .429 .829 .874 .558 .382 .236 .257 .292 .302 .456 .980 .899 .568 .418 .200 .283 .309 .311 .535 1.000 .818 .585 .344 .117 .310 .368 .349 .549 .933 .792 .649 .302 .095 .327 .378 .327 .502 .871 .846 .794 .387 .125 .278 .301 .269 .455 .801 .899 .930 .476 .135 .190 .231 .246 .414 .729 .921 .884 .424 .098 r_peak,r_snr = .3160791 4.28286 Correlation Surface of oversamples image at 1846 5446 .530 .529 .558 .655 .786 .849 .777 .634 .526 .467 .481 .549 .695 .854 .900 .786 .634 .552 .446 .477 .579 .762 .930 .939 .789 .645 .586 .458 .502 .627 .830 .986 .954 .791 .670 .621 .479 .526 .662 .867 1.000 .946 .800 .706 .654 .487 .531 .668 .863 .980 .937 .825 .755 .686 .477 .520 .651 .833 .952 .941 .865 .811 .724 .453 .496 .620 .795 .930 .951 .904 .862 .768 .418 .464 .581 .754 .899 .941 .915 .886 .801 1846 .125 5446 -.688 4.28286 .010397 .363962 .034257 Correlation Surface at 1946 5446 .013 .020 .047 .134 .167 .224 .152 .118 .077 .030 .046 .083 .154 .225 .227 .105 .087 .040 .021 .037 .060 .122 .361 .280 .073 .041 .018 .005 .016 .024 .141 .712 .374 .053 .017 .017 .003 .011 .022 .261 1.000 .350 .054 .020 .024 .014 .027 .051 .345 .756 .232 .079 .042 .024 .029 .052 .088 .265 .354 .171 .101 .053 .016 .034 .069 .109 .186 .202 .156 .082 .043 .009 .034 .075 .130 .195 .190 .131 .063 .029 .005 r_peak,r_snr = .3076315 21.52449 Correlation Surface of oversamples image at 1946 5446 .109 .118 .141 .230 .383 .446 .302 .119 .043 .052 .061 .118 .289 .526 .555 .310 .093 .023 .019 .034 .128 .407 .727 .672 .312 .074 .013 .008 .030 .174 .570 .920 .734 .288 .058 .009 .007 .042 .243 .712 1.000 .687 .233 .045 .009 .014 .067 .311 .761 .915 .544 .167 .038 .014 .030 .100 .347 .691 .706 .371 .115 .040 .027 .055 .131 .336 .540 .471 .230 .085 .051 .046 .085 .154 .297 .386 .296 .147 .075 .065 .062 1946 .000 5446 .000 21.52449 .002148 .011996 .001381 Correlation Surface at 2046 5446 .019 .011 .010 .071 .321 .251 .052 .009 .016 .008 .018 .031 .115 .364 .283 .050 .015 .018 .006 .030 .036 .124 .498 .424 .066 .023 .012 .002 .026 .018 .147 .845 .501 .059 .016 .007 .000 .016 .008 .215 1.000 .336 .037 .010 .007 .000 .016 .011 .228 .697 .183 .039 .011 .007 .003 .020 .014 .152 .364 .139 .062 .018 .008 .003 .016 .007 .079 .194 .123 .074 .022 .006 .000 .006 .001 .044 .122 .113 .055 .012 .007 r_peak,r_snr = .3062629 22.59033 Correlation Surface of oversamples image at 2046 5446 .030 .059 .146 .319 .491 .512 .353 .160 .055 .028 .055 .149 .357 .595 .641 .431 .186 .067 .020 .045 .153 .419 .741 .785 .487 .188 .066 .012 .038 .165 .502 .897 .892 .488 .163 .053 .009 .037 .185 .583 1.000 .903 .429 .123 .037 .010 .041 .206 .626 .996 .803 .334 .086 .026 .015 .048 .219 .614 .884 .637 .243 .065 .025 .020 .053 .214 .544 .707 .469 .180 .062 .034 .023 .052 .189 .439 .524 .336 .146 .073 .053 2046 .156 5446 -.375 22.59034 .002047 .015965 .001830 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .002 .008 .089 .402 .504 .374 .289 .121 .008 .005 .021 .120 .404 .522 .419 .225 .094 .014 .014 .038 .149 .465 .708 .521 .195 .093 .031 .021 .045 .202 .604 .963 .573 .159 .081 .030 .009 .045 .241 .673 1.000 .469 .106 .040 .008 .000 .034 .208 .583 .852 .372 .094 .020 .000 .003 .026 .164 .489 .775 .433 .155 .025 .000 .003 .029 .150 .471 .809 .553 .228 .047 .008 .001 .034 .151 .495 .789 .526 .220 .079 .038 r_peak,r_snr = .2690658 9.77871 Correlation Surface of oversamples image at 146 5846 .108 .240 .373 .493 .606 .688 .646 .465 .254 .114 .255 .415 .574 .719 .779 .660 .421 .206 .120 .274 .467 .673 .843 .856 .651 .372 .164 .130 .297 .520 .768 .947 .895 .619 .322 .130 .147 .324 .565 .834 1.000 .886 .567 .277 .106 .167 .349 .593 .860 .996 .837 .509 .242 .094 .186 .361 .595 .846 .949 .771 .462 .227 .095 .191 .353 .571 .803 .884 .710 .435 .231 .109 .182 .328 .532 .753 .829 .671 .429 .252 .135 146 .031 5846 -.250 9.77871 .007084 .117790 .009301 Correlation Surface at 246 5846 .158 .094 .121 .375 .396 .203 .195 .131 .130 .194 .026 .058 .428 .456 .256 .171 .095 .141 .160 .004 .058 .322 .526 .380 .198 .132 .162 .141 .031 .079 .244 .757 .627 .301 .241 .146 .100 .091 .074 .337 1.000 .701 .323 .293 .111 .038 .084 .069 .450 .801 .418 .198 .201 .081 .023 .056 .063 .280 .322 .217 .120 .129 .074 .063 .067 .048 .090 .156 .247 .148 .183 .111 .125 .121 .052 .095 .272 .335 .236 .300 .185 r_peak,r_snr = .1659533 5.67521 Correlation Surface of oversamples image at 246 5846 .044 .113 .209 .314 .358 .317 .248 .185 .126 .059 .098 .186 .346 .472 .472 .392 .287 .185 .070 .090 .200 .444 .655 .680 .562 .397 .250 .072 .095 .258 .596 .861 .861 .679 .459 .295 .066 .116 .353 .757 1.000 .930 .688 .450 .303 .057 .149 .446 .838 .991 .850 .592 .379 .270 .050 .173 .470 .767 .819 .658 .441 .279 .204 .045 .169 .400 .577 .572 .451 .308 .195 .136 .038 .132 .275 .364 .357 .301 .224 .141 .085 246 .063 5846 .188 5.67521 .015630 .073650 .013452 Correlation Surface at 346 5846 .249 .089 .065 .148 .019 .021 .022 .006 .029 .247 .123 .127 .163 .013 .010 .000 .041 .099 .196 .158 .193 .171 .106 .088 .098 .088 .099 .175 .152 .278 .347 .551 .557 .305 .077 .006 .167 .121 .305 .534 1.000 .862 .365 .032 .029 .122 .083 .143 .368 .767 .560 .163 .005 .058 r_peak,r_snr = .1439697 12.30934 Correlation Surface of oversamples image at 346 5846 .327 .207 .128 .119 .152 .210 .259 .277 .254 .368 .292 .289 .358 .433 .473 .458 .391 .283 .406 .406 .524 .692 .766 .734 .626 .461 .269 .392 .471 .712 .947 .981 .873 .691 .455 .222 .308 .435 .743 .999 1.000 .846 .619 .366 .155 .180 .313 .617 .859 .844 .665 .428 .223 .082 .070 .179 .433 .636 .605 .411 .205 .084 .023 .014 .086 .278 .428 .365 .175 .044 .006 .000 .000 .039 .175 .264 .167 .029 .002 .020 .031 346 -10.750 5846 13.344 12.30934 .045716 .037192 .000789 Correlation Surface at 446 5846 .028 .058 .170 .407 .551 .405 .323 .205 .140 .037 .062 .136 .316 .512 .446 .320 .184 .096 .027 .055 .131 .360 .669 .559 .297 .161 .067 .026 .082 .200 .561 .912 .637 .332 .189 .048 .032 .119 .302 .773 1.000 .600 .376 .219 .044 .029 .095 .343 .850 .940 .482 .322 .174 .051 .011 .062 .347 .895 .862 .424 .266 .098 .031 .002 .072 .410 .989 .840 .537 .306 .045 .010 .001 .111 .467 .868 .803 .816 .355 .022 .006 r_peak,r_snr = .2029906 7.49472 Correlation Surface of oversamples image at 446 5846 .099 .201 .371 .596 .798 .863 .777 .589 .384 .115 .235 .428 .671 .875 .931 .825 .618 .406 .118 .255 .470 .733 .939 .975 .839 .612 .401 .115 .267 .508 .789 .982 .981 .813 .581 .381 .117 .290 .558 .843 1.000 .950 .764 .547 .367 .131 .329 .618 .882 .978 .885 .711 .532 .373 .155 .380 .667 .876 .903 .798 .674 .552 .409 .198 .442 .700 .834 .810 .732 .687 .633 .490 446 -.313 5846 1.781 7.49472 .050369 .549988 .127845 Correlation Surface at 546 5846 .082 .082 .090 .187 .381 .375 .271 .232 .179 .084 .041 .066 .176 .456 .443 .253 .170 .176 .050 .021 .065 .255 .687 .484 .187 .082 .108 .016 .005 .055 .433 .993 .530 .133 .042 .077 .000 .000 .063 .603 1.000 .436 .120 .081 .149 .006 .001 .090 .509 .585 .239 .147 .207 .244 .001 .024 .088 .278 .246 .125 .170 .288 .223 .018 .043 .069 .180 .165 .111 .154 .273 .183 .070 .050 .075 .183 .226 .142 .142 .265 .153 r_peak,r_snr = .2090325 7.29245 Correlation Surface of oversamples image at 546 5846 .026 .046 .103 .253 .437 .456 .326 .208 .129 .023 .054 .151 .379 .594 .559 .368 .213 .114 .020 .069 .228 .544 .769 .665 .411 .216 .097 .020 .100 .335 .723 .924 .746 .437 .209 .082 .026 .145 .450 .862 1.000 .761 .423 .190 .072 .041 .194 .525 .892 .952 .688 .368 .166 .074 .063 .225 .522 .795 .791 .550 .296 .150 .093 .075 .210 .432 .609 .574 .390 .224 .144 .127 .065 .155 .302 .410 .375 .256 .168 .143 .163 546 -.125 5846 .656 7.29245 .009979 .041997 .007259 Correlation Surface at 646 5846 .053 .070 .033 .022 .023 .063 .039 .069 .116 .003 .012 .012 .079 .193 .183 .009 .062 .148 .003 .002 .015 .160 .493 .388 .032 .109 .113 .003 .007 .051 .274 .813 .567 .081 .129 .071 .001 .028 .142 .461 1.000 .457 .079 .123 .039 .003 .060 .229 .714 .863 .195 .069 .107 .034 .000 .074 .230 .791 .538 .093 .075 .072 .052 .018 .052 .146 .533 .346 .107 .066 .054 .083 .038 .031 .078 .338 .341 .150 .074 .068 .093 r_peak,r_snr = .1340569 9.46002 Correlation Surface of oversamples image at 646 5846 .076 .179 .213 .247 .398 .657 .827 .725 .446 .087 .203 .261 .352 .584 .838 .874 .649 .353 .079 .209 .322 .504 .790 .945 .797 .485 .225 .065 .209 .391 .668 .947 .933 .630 .305 .114 .058 .213 .451 .788 1.000 .826 .454 .176 .053 .061 .214 .475 .814 .939 .686 .332 .116 .034 .064 .195 .433 .720 .786 .547 .262 .100 .036 .060 .153 .331 .543 .588 .418 .225 .106 .048 .062 .124 .247 .401 .449 .354 .237 .147 .085 646 -.969 5846 -6.500 9.46002 .044895 .339663 .098235 Correlation Surface at 746 5846 .053 .013 .193 .573 .634 .161 .002 .007 .000 .069 .004 .156 .547 .678 .236 .016 .001 .010 .073 .003 .129 .521 .824 .368 .030 .000 .013 .063 .005 .118 .555 .970 .385 .016 .002 .001 .044 .005 .115 .642 1.000 .303 .002 .014 .002 .023 .001 .096 .651 .911 .227 .001 .016 .000 .030 .013 .053 .546 .792 .206 .000 .001 .006 .102 .073 .030 .448 .712 .241 .020 .002 .015 .178 .076 .027 .432 .707 .257 .017 .000 .011 r_peak,r_snr = .220177 12.06299 Correlation Surface of oversamples image at 746 5846 .154 .309 .534 .723 .672 .412 .174 .052 .007 .124 .269 .511 .751 .755 .519 .258 .095 .021 .102 .244 .512 .804 .858 .630 .331 .124 .028 .089 .237 .532 .869 .950 .705 .359 .124 .026 .083 .242 .563 .922 1.000 .718 .338 .102 .018 .078 .252 .592 .948 .995 .673 .284 .072 .009 .074 .264 .616 .954 .960 .609 .231 .047 .002 .072 .274 .631 .948 .918 .554 .193 .031 .000 .069 .278 .634 .929 .873 .507 .166 .021 .001 746 -.188 5846 .281 12.06299 .010024 .511099 .043703 Correlation Surface at 846 5846 .011 .015 .007 .001 .070 .259 .062 .049 .044 .044 .027 .000 .004 .096 .281 .008 .047 .051 .039 .004 .010 .000 .270 .300 .002 .026 .041 .011 .004 .011 .077 .700 .377 .013 .009 .017 .002 .018 .002 .331 1.000 .337 .013 .005 .009 .044 .026 .026 .458 .743 .169 .000 .006 .005 .042 .017 .035 .392 .471 .092 .002 .001 .000 .002 .004 .042 .350 .447 .131 .003 .004 .013 .001 .000 .063 .323 .472 .219 .021 .009 .015 r_peak,r_snr = .1810324 18.7119 Correlation Surface of oversamples image at 846 5846 .040 .057 .017 .017 .184 .331 .224 .037 .005 .039 .023 .001 .121 .402 .495 .259 .036 .003 .018 .000 .059 .336 .687 .664 .297 .045 .001 .001 .025 .196 .591 .924 .755 .305 .052 .000 .010 .099 .351 .762 1.000 .720 .271 .047 .000 .049 .186 .448 .790 .908 .592 .210 .033 .001 .092 .236 .458 .700 .724 .437 .145 .018 .003 .113 .236 .410 .570 .547 .316 .100 .009 .004 .108 .214 .361 .476 .444 .260 .084 .008 .001 846 .000 5846 -.031 18.71190 .008159 .042327 .009486 Correlation Surface at 946 5846 .008 .017 .012 .086 .551 .240 .021 .005 .006 .007 .021 .036 .108 .608 .238 .025 .001 .007 .009 .029 .044 .182 .748 .291 .021 .000 .007 .014 .040 .018 .302 .962 .345 .026 .000 .017 .039 .058 .009 .337 1.000 .360 .067 .001 .019 .093 .102 .020 .237 .729 .368 .138 .010 .004 .143 .130 .030 .129 .443 .357 .152 .025 .000 .148 .100 .026 .071 .321 .332 .108 .012 .004 .121 .077 .031 .054 .333 .310 .064 .000 .005 r_peak,r_snr = .1683472 12.16351 Correlation Surface of oversamples image at 946 5846 .026 .007 .182 .482 .585 .415 .192 .075 .040 .025 .010 .208 .546 .667 .478 .228 .089 .042 .016 .019 .252 .638 .785 .574 .279 .108 .047 .007 .034 .305 .742 .913 .677 .335 .134 .060 .003 .048 .348 .820 1.000 .744 .382 .170 .085 .002 .052 .359 .832 .997 .747 .411 .213 .119 .004 .044 .330 .760 .896 .682 .412 .251 .152 .011 .028 .268 .626 .730 .572 .387 .265 .165 .022 .014 .201 .476 .552 .456 .345 .254 .157 946 -.063 5846 -.250 12.16352 .007484 .124295 -.003637 Correlation Surface at 1146 5846 .028 .071 .034 .015 .000 .011 .000 .006 .204 .028 .031 .035 .009 .013 .009 .004 .014 .155 .018 .032 .064 .002 .133 .195 .053 .001 .041 .013 .043 .086 .000 .573 .741 .168 .001 .000 .015 .051 .084 .014 1.000 .935 .126 .017 .007 .022 .055 .074 .016 .613 .486 .028 .019 .004 .017 .030 .066 .000 .138 .211 .016 .000 .000 .004 .004 .019 .012 .041 .222 .052 .034 .008 .003 .003 .004 .006 .088 .276 .092 .153 .066 r_peak,r_snr = .1271369 16.20906 Correlation Surface of oversamples image at 1146 5846 .000 .009 .047 .105 .138 .106 .035 .001 .011 .000 .016 .091 .234 .333 .252 .099 .013 .004 .000 .028 .179 .462 .621 .446 .186 .034 .004 .000 .049 .307 .731 .892 .603 .250 .038 .012 .000 .071 .413 .898 1.000 .647 .257 .025 .029 .000 .076 .427 .860 .903 .585 .226 .013 .036 .002 .052 .322 .635 .676 .470 .190 .012 .021 .011 .018 .172 .376 .458 .379 .180 .025 .001 .029 .000 .061 .201 .337 .361 .219 .068 .012 1146 .344 5846 .063 16.20906 .010877 .035301 .003623 Correlation Surface at 1246 5846 .005 .009 .103 .497 .765 .611 .358 .217 .122 .000 .005 .107 .439 .738 .660 .400 .234 .147 .001 .007 .099 .396 .759 .755 .464 .260 .188 .000 .013 .094 .376 .864 .835 .458 .272 .215 .001 .022 .095 .404 1.000 .794 .416 .294 .234 .005 .027 .095 .481 .996 .707 .429 .347 .249 .008 .023 .115 .537 .890 .713 .504 .374 .249 .004 .016 .136 .526 .848 .810 .551 .343 .229 .001 .016 .147 .509 .875 .855 .526 .290 .197 r_peak,r_snr = .3293419 5.81276 Correlation Surface of oversamples image at 1246 5846 .100 .211 .379 .581 .769 .846 .767 .599 .415 .090 .194 .365 .602 .835 .915 .797 .589 .391 .079 .178 .363 .646 .912 .963 .790 .555 .365 .070 .170 .380 .705 .975 .969 .750 .515 .352 .068 .178 .417 .763 1.000 .933 .695 .487 .358 .076 .203 .465 .800 .978 .870 .650 .481 .382 .094 .243 .513 .809 .929 .815 .632 .501 .419 .121 .287 .548 .794 .877 .786 .648 .541 .462 .148 .322 .560 .764 .836 .785 .685 .587 .497 1246 .188 5846 -.750 5.81276 .005338 .119738 .010898 Correlation Surface at 1346 5846 .002 .001 .000 .105 .411 .168 .005 .002 .003 .006 .005 .000 .153 .460 .193 .008 .002 .000 .014 .004 .002 .119 .572 .304 .006 .002 .001 .009 .006 .024 .095 .860 .383 .001 .001 .002 .009 .024 .052 .133 1.000 .288 .000 .000 .003 .022 .052 .048 .169 .749 .151 .000 .000 .006 .049 .062 .027 .144 .438 .096 .000 .000 .010 .063 .051 .012 .086 .260 .094 .002 .000 .009 .045 .037 .005 .040 .167 .096 .000 .004 .007 r_peak,r_snr = .305551 29.44309 Correlation Surface of oversamples image at 1346 5846 .001 .023 .134 .331 .458 .376 .179 .044 .002 .001 .012 .122 .364 .563 .497 .244 .058 .002 .006 .005 .121 .431 .720 .649 .311 .068 .002 .014 .002 .131 .521 .889 .780 .351 .069 .001 .022 .001 .150 .606 1.000 .829 .345 .060 .001 .026 .001 .165 .642 .997 .771 .295 .047 .001 .026 .002 .168 .609 .884 .641 .231 .035 .001 .023 .003 .156 .523 .715 .497 .177 .029 .001 .019 .003 .135 .419 .548 .381 .143 .026 .001 1346 .094 5846 -.281 29.44310 .001689 .021286 .001831 Correlation Surface at 1446 5846 .042 .007 .091 .197 .300 .192 .042 .007 .048 .037 .013 .134 .232 .308 .198 .046 .026 .071 .020 .019 .118 .257 .420 .293 .071 .031 .059 .004 .009 .074 .354 .784 .495 .087 .013 .031 .001 .000 .052 .454 1.000 .528 .063 .004 .014 .003 .001 .042 .336 .616 .260 .023 .007 .011 .002 .000 .029 .141 .207 .056 .005 .014 .020 .000 .000 .013 .058 .084 .014 .008 .018 .029 .003 .002 .003 .052 .099 .040 .044 .024 .035 r_peak,r_snr = .2452181 22.84354 Correlation Surface of oversamples image at 1446 5846 .043 .091 .152 .232 .315 .349 .274 .138 .049 .025 .076 .164 .296 .439 .496 .374 .172 .052 .012 .069 .198 .407 .630 .699 .493 .203 .050 .005 .071 .250 .550 .851 .900 .588 .221 .043 .003 .077 .298 .662 1.000 1.000 .611 .213 .033 .002 .079 .306 .673 .982 .931 .540 .178 .024 .002 .070 .260 .563 .797 .722 .401 .127 .016 .002 .047 .174 .379 .532 .464 .243 .071 .009 .001 .023 .090 .208 .297 .248 .117 .028 .003 1446 .250 5846 -.375 22.84354 .005877 .015502 .001594 Correlation Surface at 1546 5846 .012 .001 .047 .332 .510 .237 .044 .017 .012 .022 .002 .045 .296 .470 .262 .051 .021 .016 .033 .004 .033 .225 .532 .353 .069 .022 .018 .045 .009 .014 .236 .792 .463 .074 .018 .018 .049 .017 .008 .344 1.000 .454 .071 .016 .020 .047 .025 .011 .386 .820 .355 .076 .022 .024 .052 .024 .019 .289 .507 .286 .075 .021 .019 .061 .017 .023 .186 .354 .249 .053 .013 .015 .058 .010 .018 .143 .327 .222 .037 .016 .019 r_peak,r_snr = .3926586 12.95174 Correlation Surface of oversamples image at 1546 5846 .052 .132 .251 .388 .486 .456 .297 .144 .066 .038 .116 .253 .439 .594 .575 .373 .174 .073 .027 .111 .283 .536 .749 .709 .433 .184 .067 .022 .118 .336 .661 .906 .806 .452 .173 .055 .021 .132 .393 .768 1.000 .827 .430 .153 .044 .023 .146 .431 .810 .991 .770 .384 .136 .040 .026 .155 .435 .770 .886 .664 .336 .129 .042 .029 .155 .404 .665 .730 .549 .300 .129 .046 .032 .148 .349 .534 .572 .454 .275 .130 .048 1546 .031 5846 .188 12.95175 .001637 .011071 .000969 Correlation Surface at 1646 5846 .071 .097 .004 .080 .131 .058 .000 .004 .008 .036 .066 .000 .090 .189 .104 .002 .000 .006 .016 .052 .000 .102 .364 .164 .003 .000 .000 .008 .050 .010 .166 .735 .215 .002 .001 .002 .004 .063 .022 .262 1.000 .151 .000 .004 .000 .007 .078 .013 .329 .728 .047 .001 .008 .000 .047 .106 .001 .304 .298 .013 .007 .026 .013 .167 .122 .004 .178 .100 .009 .016 .058 .032 .279 .087 .004 .058 .058 .014 .022 .065 .020 r_peak,r_snr = .1883729 19.59098 Correlation Surface of oversamples image at 1646 5846 .023 .001 .084 .281 .449 .419 .223 .059 .002 .036 .000 .095 .363 .614 .547 .249 .050 .001 .046 .000 .123 .498 .825 .662 .248 .035 .000 .047 .001 .172 .651 .988 .688 .207 .019 .001 .038 .007 .234 .760 1.000 .590 .143 .008 .002 .021 .022 .293 .768 .849 .420 .083 .003 .003 .007 .045 .324 .674 .619 .258 .042 .001 .003 .001 .065 .306 .514 .397 .142 .020 .000 .003 .000 .066 .240 .340 .231 .074 .009 .000 .004 1646 -.031 5846 .313 19.59099 .004236 .036667 .004133 Correlation Surface at 1746 5846 .011 .002 .076 .083 .010 .001 .011 .130 .232 .013 .018 .094 .070 .037 .013 .010 .069 .126 .005 .024 .054 .050 .149 .143 .031 .032 .050 .001 .026 .015 .063 .527 .386 .048 .004 .006 .010 .024 .011 .226 1.000 .414 .026 .001 .005 .009 .038 .067 .491 .860 .224 .009 .010 .023 .012 .072 .156 .446 .322 .089 .001 .012 .023 .030 .073 .120 .186 .054 .044 .001 .005 .017 .026 .034 .039 .020 .007 .047 .019 .000 .006 r_peak,r_snr = .17776 23.38494 Correlation Surface of oversamples image at 1746 5846 .042 .037 .046 .106 .245 .344 .276 .140 .055 .010 .014 .049 .195 .457 .564 .403 .184 .060 .001 .009 .085 .359 .720 .764 .490 .204 .057 .000 .020 .170 .573 .939 .859 .497 .189 .045 .004 .056 .293 .745 1.000 .796 .418 .146 .029 .020 .114 .393 .764 .850 .599 .294 .095 .013 .047 .165 .408 .613 .568 .366 .176 .053 .003 .073 .182 .332 .382 .298 .188 .096 .026 .000 .082 .154 .206 .179 .123 .089 .055 .013 .000 1746 .063 5846 .344 23.38495 .007401 .032959 .007146 Correlation Surface at 1846 5846 .437 .449 .517 .674 .793 .647 .486 .490 .468 .408 .357 .432 .633 .730 .561 .525 .530 .468 .325 .284 .409 .629 .688 .611 .556 .527 .461 .305 .313 .459 .665 .811 .728 .498 .506 .439 .353 .382 .532 .744 1.000 .711 .443 .485 .371 .376 .375 .535 .748 .988 .581 .459 .458 .335 .337 .300 .409 .616 .769 .491 .462 .422 .361 .314 .250 .277 .488 .589 .439 .398 .383 .380 .350 .276 .246 .453 .491 .381 .348 .352 .332 r_peak,r_snr = .3454731 2.44059 Correlation Surface of oversamples image at 1846 5846 .364 .477 .597 .684 .730 .725 .647 .564 .525 .375 .482 .605 .718 .810 .818 .700 .560 .486 .396 .502 .632 .776 .902 .890 .705 .517 .430 .417 .526 .666 .840 .975 .908 .662 .459 .388 .427 .537 .687 .883 1.000 .869 .595 .415 .372 .414 .518 .672 .874 .961 .791 .535 .399 .380 .372 .462 .615 .813 .874 .703 .495 .403 .395 .307 .384 .537 .728 .774 .627 .471 .408 .397 .240 .309 .464 .644 .677 .560 .446 .396 .372 1846 .031 5846 -.594 2.44059 .009376 .052439 .008020 Correlation Surface at 1946 5846 .048 .018 .401 .655 .652 .340 .116 .160 .174 .063 .010 .327 .545 .591 .374 .214 .127 .094 .111 .005 .238 .409 .488 .473 .299 .135 .095 .110 .013 .193 .470 .675 .535 .314 .141 .070 .078 .011 .189 .818 1.000 .498 .305 .088 .017 .074 .002 .172 .973 .911 .509 .263 .035 .002 .071 .000 .120 .657 .550 .440 .172 .018 .002 .069 .000 .084 .425 .328 .220 .108 .025 .005 .098 .001 .080 .339 .180 .078 .076 .043 .011 r_peak,r_snr = .1504865 5.54652 Correlation Surface of oversamples image at 1946 5846 .112 .127 .143 .224 .385 .575 .698 .684 .552 .071 .087 .132 .268 .493 .719 .820 .754 .600 .059 .087 .182 .398 .669 .856 .868 .749 .605 .065 .123 .303 .614 .868 .931 .837 .699 .575 .082 .191 .480 .849 1.000 .921 .768 .645 .520 .100 .265 .640 .980 .993 .841 .702 .596 .440 .106 .308 .690 .923 .850 .723 .637 .531 .337 .100 .303 .617 .743 .664 .607 .560 .436 .236 .091 .264 .485 .546 .506 .498 .450 .318 .154 1946 .781 5846 -.594 5.54652 .041250 .107442 .031888 Correlation Surface at 2046 5846 .054 .006 .210 .340 .164 .032 .010 .020 .004 .053 .044 .336 .288 .205 .098 .032 .014 .000 .029 .081 .197 .202 .403 .303 .031 .000 .001 .013 .063 .066 .194 .837 .428 .007 .003 .000 .007 .045 .030 .222 1.000 .236 .003 .002 .000 .000 .034 .031 .240 .563 .092 .016 .001 .000 .006 .013 .044 .217 .246 .104 .036 .000 .000 .004 .000 .049 .162 .244 .157 .045 .011 .002 .071 .009 .043 .170 .346 .162 .042 .024 .001 r_peak,r_snr = .168768 18.54332 Correlation Surface of oversamples image at 2046 5846 .143 .144 .184 .261 .318 .287 .168 .050 .004 .081 .105 .194 .358 .511 .479 .232 .036 .001 .044 .084 .221 .496 .766 .671 .250 .015 .013 .027 .076 .257 .640 .973 .738 .205 .003 .023 .018 .072 .283 .721 1.000 .628 .130 .000 .018 .013 .067 .286 .695 .839 .435 .078 .001 .005 .010 .062 .264 .584 .603 .277 .064 .011 .000 .008 .057 .229 .443 .406 .204 .088 .042 .009 .005 .049 .181 .312 .294 .204 .144 .087 .023 2046 .031 5846 -.219 18.54332 .005516 .035575 .004262 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2924804 22.05713 246 .031 3046 -.375 22.05714 .002800 .013834 .000831 r_peak,r_snr = .1730475 22.40707 346 -.063 3046 .250 22.40708 .009502 .036535 .007205 r_peak,r_snr = .3330466 6.68648 446 .281 3046 .125 6.68648 .004545 .024141 .003639 r_peak,r_snr = .4960619 5.78906 546 .156 3046 .000 5.78906 .002022 .011455 .002363 r_peak,r_snr = .2495425 7.7657 646 .188 3046 1.531 7.76570 .030659 4.194368 .316841 r_peak,r_snr = .1335458 13.08331 746 -.813 3046 -2.594 13.08331 .023702 .118796 .003323 r_peak,r_snr = .1173407 16.49946 846 -.156 3046 1.125 16.49946 .011891 .148843 .014840 r_peak,r_snr = .3343332 13.36553 946 -.188 3046 -.281 13.36553 .003524 .019862 .000758 r_peak,r_snr = .1455593 9.51527 1046 -.188 3046 -4.188 9.51527 .019724 .119863 .014654 r_peak,r_snr = .2941225 18.80154 1146 .031 3046 .094 18.80154 .003291 .011395 .002413 r_peak,r_snr = .4460005 11.30067 1246 .094 3046 .063 11.30067 .001547 .013397 .001188 r_peak,r_snr = .1240397 14.88329 1346 2.219 3046 -3.813 14.88330 .009341 .049134 -.001337 r_peak,r_snr = .2318583 18.88728 1446 -.281 3046 -.281 18.88729 .005343 .053516 -.001183 r_peak,r_snr = .317133 7.96048 1546 -.219 3046 .156 7.96048 .005918 .038193 .005861 r_peak,r_snr = .2670969 18.12792 1646 -.125 3046 .938 18.12793 .004736 .065320 .009168 r_peak,r_snr = .3021627 23.04401 1746 .156 3046 -.031 23.04402 .002423 .023903 .002896 r_peak,r_snr = .1577287 10.16874 1846 .469 3046 -.406 10.16875 .013870 .221647 .017747 r_peak,r_snr = .1171073 10.94466 1946 .281 3046 -.125 10.94467 .009032 .034310 .005432 r_peak,r_snr = 9.41765E-02 13.41934 2046 -11.344 3046 4.281 13.41934 .017145 .050543 .011907 At line = 3400 Reading in data.... r_peak,r_snr = .1123116 15.19425 146 .094 3446 -.219 15.19426 .011461 .074105 .002815 r_peak,r_snr = .2220666 15.54074 246 -.156 3446 -.563 15.54074 .006227 .468951 .024583 r_peak,r_snr = .5637401 4.11986 346 .156 3446 -.031 4.11986 .001803 .009808 .000087 r_peak,r_snr = .1196099 9.19127 446 -10.844 3446 4.438 9.19127 .080644 .092527 .062764 r_peak,r_snr = .2227855 18.11559 546 .250 3446 .219 18.11559 .004765 .035519 .004634 r_peak,r_snr = .2686388 17.04987 646 .063 3446 .438 17.04987 .004811 .020212 .001256 r_peak,r_snr = .1579931 10.40913 746 -.188 3446 -3.750 10.40913 .015043 .346875 -.021645 r_peak,r_snr = .1016445 12.43138 846 14.875 3446 13.063 12.43139 .031737 .194091 .030743 r_peak,r_snr = .1797684 14.7583 946 -.063 3446 .719 14.75831 .005229 .257468 .003419 r_peak,r_snr = .3135576 13.33607 1046 .156 3446 -.375 13.33607 .003481 .013588 .001709 r_peak,r_snr = .2274182 10.37552 1146 .125 3446 -.500 10.37552 .004153 .034290 .003724 r_peak,r_snr = .1970939 8.55587 1246 .000 3446 -.156 8.55587 .004826 .140872 .000877 r_peak,r_snr = .1645097 17.41082 1346 .063 3446 -.531 17.41082 .005936 .066651 .000196 r_peak,r_snr = .2906881 10.68976 1546 -.031 3446 .469 10.68976 .005382 .035036 .003230 r_peak,r_snr = .3719944 10.17863 1646 .000 3446 -.188 10.17863 .002158 .016916 .001069 r_peak,r_snr = .114799 16.12892 1746 -.094 3446 -.250 16.12892 .020273 .038243 .006542 r_peak,r_snr = .2556679 17.71629 1846 -.313 3446 .188 17.71629 .003297 .018524 .001920 r_peak,r_snr = .1602811 8.19779 2046 .094 3446 .469 8.19779 .007573 .879170 .029551 At line = 3800 Reading in data.... r_peak,r_snr = .1644366 20.33693 146 .125 3846 .000 20.33694 .007960 .036414 -.000023 r_peak,r_snr = .3792765 18.08786 246 .063 3846 -.250 18.08787 .001977 .013089 .001053 r_peak,r_snr = .3477699 5.97276 346 -.063 3846 -.063 5.97276 .004158 .033952 .004128 r_peak,r_snr = .1199009 18.7277 446 .219 3846 .000 18.72771 .008277 .042345 .006278 r_peak,r_snr = 7.48985E-02 6.1265 546 .063 3846 -.094 6.12650 .011604 .104640 .006542 r_peak,r_snr = .1629858 7.3433 646 -3.781 3846 10.875 7.34330 .045820 .775582 -.065044 r_peak,r_snr = .145431 11.42187 746 .125 3846 -.344 11.42187 .010293 .097410 .008663 r_peak,r_snr = .1270049 11.12462 846 .125 3846 -.844 11.12463 .030043 .150669 .039526 r_peak,r_snr = 8.31955E-02 10.02156 946 .094 3846 .406 10.02156 .013024 .128146 -.010751 r_peak,r_snr = .1381431 18.39501 1046 .031 3846 -.094 18.39502 .008944 .064790 .002708 r_peak,r_snr = .3632883 6.98897 1146 -.125 3846 -.344 6.98897 .003247 .012470 .001499 r_peak,r_snr = .3946741 12.65553 1246 -.344 3846 -.344 12.65554 .002349 .014470 .001289 r_peak,r_snr = .4391228 12.96861 1346 -.094 3846 -.156 12.96861 .001909 .009835 .001381 r_peak,r_snr = .2387477 12.83109 1446 -.125 3846 .156 12.83109 .004576 .039954 .002900 r_peak,r_snr = .2535094 9.29375 1546 -.031 3846 .688 9.29375 .003426 .024460 .002706 r_peak,r_snr = .3756336 5.54924 1646 -.125 3846 -.063 5.54924 .003774 .012131 .002284 r_peak,r_snr = .2078962 10.19901 1746 .094 3846 1.531 10.19902 .013315 .245844 .038379 r_peak,r_snr = .1843603 23.73877 1846 -.031 3846 -.188 23.73878 .003968 .032671 .002302 r_peak,r_snr = .1145061 7.40092 2046 .250 3846 -.031 7.40092 .013619 .247204 .028023 At line = 4200 Reading in data.... r_peak,r_snr = .2472329 15.94125 146 .125 4246 -.344 15.94126 .005518 .033576 .000187 r_peak,r_snr = .1009523 8.50662 246 13.969 4246 -5.313 8.50662 .049966 .074145 .020475 r_peak,r_snr = .1377651 6.17103 346 -1.156 4246 -12.594 6.17103 .035116 .132223 -.000011 r_peak,r_snr = .3463884 12.57474 446 .031 4246 .000 12.57474 .003972 .024497 .000136 r_peak,r_snr = .1233315 20.48645 546 .188 4246 -.531 20.48646 .011545 .035202 .002351 r_peak,r_snr = .1161435 7.27848 646 -3.938 4246 -2.406 7.27848 .024098 .138594 .029110 r_peak,r_snr = 9.78677E-02 8.88746 746 8.031 4246 -11.844 8.88746 .024662 .091488 .001475 r_peak,r_snr = .350348 15.14161 846 -.188 4246 .844 15.14161 .002123 .052585 .002894 r_peak,r_snr = .2826062 18.05917 946 .188 4246 .156 18.05917 .002844 .035036 .003112 r_peak,r_snr = .2767512 37.73027 1046 -.063 4246 .188 37.73027 .002464 .013800 .001940 r_peak,r_snr = .2907978 19.71562 1146 .063 4246 -.063 19.71563 .003025 .012348 .000651 r_peak,r_snr = .3496578 12.31257 1246 -.125 4246 -.313 12.31257 .002586 .088768 .002603 r_peak,r_snr = .2773481 5.38067 1346 -.125 4246 -.563 5.38067 .006999 .032720 .006092 r_peak,r_snr = .2024567 12.58511 1446 .125 4246 3.844 12.58512 .007536 .081486 -.003314 r_peak,r_snr = .2841159 18.57588 1546 .094 4246 .094 18.57589 .002579 .023385 .001620 r_peak,r_snr = .4587681 5.17576 1646 .344 4246 -.094 5.17576 .005214 .091094 .002816 r_peak,r_snr = .3270662 15.11545 1746 .094 4246 -.156 15.11546 .002703 .017921 .001571 r_peak,r_snr = .1811211 10.94689 1846 -.063 4246 -.031 10.94690 .012564 .077215 .014154 r_peak,r_snr = .2836081 14.05077 2046 -.156 4246 -.688 14.05077 .003809 .058182 .002940 At line = 4600 Reading in data.... r_peak,r_snr = .2556371 19.44602 146 .031 4646 .219 19.44603 .005062 .023440 .003070 r_peak,r_snr = .1050976 11.44455 246 .094 4646 .969 11.44456 .024921 .115838 .006969 r_peak,r_snr = .2548076 29.70466 346 .031 4646 -.094 29.70467 .004072 .016384 .001576 r_peak,r_snr = .2488429 15.67695 446 -.188 4646 .281 15.67696 .006054 .033601 .004546 r_peak,r_snr = 8.92446E-02 11.14978 546 -1.656 4646 10.250 11.14979 .041141 .095523 .002617 r_peak,r_snr = 8.60131E-02 11.2329 646 .031 4646 -.594 11.23291 .021499 .169048 -.013564 r_peak,r_snr = .1691833 15.94612 746 -.438 4646 .500 15.94613 .007247 .037133 .004356 r_peak,r_snr = .2739258 10.20723 946 -.094 4646 .281 10.20724 .003848 .051911 .002380 r_peak,r_snr = .1103347 10.47404 1046 -.344 4646 .063 10.47405 .015616 .122917 .003794 r_peak,r_snr = .2645782 19.53112 1146 .000 4646 -.750 19.53112 .003201 .070587 -.001246 r_peak,r_snr = .2913728 11.45455 1246 -.250 4646 .188 11.45455 .003688 .016408 .002270 r_peak,r_snr = .1190812 9.09304 1346 7.469 4646 -8.688 9.09304 .021880 .105786 .026210 r_peak,r_snr = .1408502 5.4637 1446 -.281 4646 -.594 5.46370 .013265 .087033 .007852 r_peak,r_snr = .1948222 16.74318 1546 .063 4646 .344 16.74319 .005856 .062906 .007388 r_peak,r_snr = .3574165 2.14217 1646 .594 4646 -.625 2.14217 .022074 .041211 .009125 r_peak,r_snr = .2561124 3.83447 1746 .250 4646 -.969 3.83447 .013269 .043534 .004221 r_peak,r_snr = .1207624 9.81463 1846 .063 4646 -1.031 9.81463 .007960 .136180 -.005863 r_peak,r_snr = 7.40331E-02 4.34079 1946 -6.813 4646 -8.438 4.34079 .051675 .075027 .018567 r_peak,r_snr = .2634788 5.83874 2046 -.094 4646 -.156 5.83874 .010625 .072127 -.003964 At line = 5000 Reading in data.... r_peak,r_snr = .2829501 19.3955 146 .000 5046 .031 19.39550 .004626 .015508 .001945 r_peak,r_snr = .2555878 24.28141 246 .188 5046 .000 24.28142 .003144 .013246 .000983 r_peak,r_snr = .2408518 9.99605 346 .031 5046 .188 9.99605 .004376 .038225 -.000533 r_peak,r_snr = .1903398 20.16724 446 .156 5046 -.031 20.16725 .005700 .042723 .004225 r_peak,r_snr = .1987587 14.01908 546 -.156 5046 .563 14.01909 .005246 .034175 .003277 r_peak,r_snr = .2675805 12.98642 646 -.094 5046 .031 12.98642 .005709 .023773 .003637 r_peak,r_snr = .1464502 10.0596 746 .125 5046 -.531 10.05961 .014367 .209310 .039941 r_peak,r_snr = .1060521 9.69907 846 6.969 5046 -8.063 9.69907 .011172 .063043 .010348 r_peak,r_snr = .3489908 9.13744 946 .094 5046 -.250 9.13744 .003211 .098810 .000707 r_peak,r_snr = 8.69699E-02 8.56946 1046 .969 5046 -.500 8.56946 .026071 4.129716 -.014931 r_peak,r_snr = .220506 18.41538 1146 .063 5046 .406 18.41538 .003527 .022783 .002927 r_peak,r_snr = .2695834 8.39771 1246 .000 5046 .156 8.39771 .006341 .049973 -.005659 r_peak,r_snr = .3296847 16.93414 1346 .125 5046 .031 16.93414 .002862 .017309 .001929 r_peak,r_snr = .1752777 15.17171 1446 -.281 5046 .406 15.17171 .009913 .067045 .000415 r_peak,r_snr = .380384 14.48574 1546 -.063 5046 -.094 14.48575 .001864 .012311 .001010 r_peak,r_snr = .352686 5.08998 1746 -.063 5046 .750 5.08998 .009257 .035782 .009365 r_peak,r_snr = .314116 11.53731 1846 .188 5046 -.188 11.53731 .003981 .019499 .002387 r_peak,r_snr = .1844052 3.04036 2046 -2.625 5046 14.094 3.04036 .030467 .128041 .009021 At line = 5400 Reading in data.... r_peak,r_snr = .1232524 8.37705 146 .531 5446 -3.219 8.37705 .026241 .274819 -.023801 r_peak,r_snr = .1178248 15.98658 246 .063 5446 -.281 15.98658 .014810 .029730 .003190 r_peak,r_snr = .1954585 27.33406 346 .063 5446 .000 27.33406 .006526 .018058 .003880 r_peak,r_snr = .2472982 11.63621 446 -.156 5446 .688 11.63622 .007027 .229284 .018339 r_peak,r_snr = .1555653 9.87746 546 1.063 5446 -12.125 9.87746 .022045 .044163 .018324 r_peak,r_snr = .2859472 6.59364 646 -.063 5446 -.344 6.59364 .004415 .025147 .002278 r_peak,r_snr = .1440891 16.52631 746 .281 5446 -.469 16.52631 .009976 .116660 .017321 r_peak,r_snr = .4049769 21.8027 846 .125 5446 .188 21.80270 .001343 .025102 .000505 r_peak,r_snr = 9.67597E-02 6.91007 946 -8.281 5446 -6.313 6.91007 .028869 .269669 .031774 r_peak,r_snr = 9.58794E-02 8.09718 1046 .500 5446 -.719 8.09718 .045580 .326792 .084012 r_peak,r_snr = .166176 19.9284 1146 .063 5446 -.500 19.92841 .008748 .060930 -.003465 r_peak,r_snr = .1450271 8.51922 1246 -.375 5446 -.344 8.51922 .026861 .065993 .014589 r_peak,r_snr = .1999726 14.8455 1346 .000 5446 .344 14.84551 .007252 .087682 .005643 r_peak,r_snr = .1436244 8.44329 1446 .188 5446 -1.594 8.44329 .011204 .197811 .018101 r_peak,r_snr = .1842382 16.52594 1546 .156 5446 -.094 16.52594 .006728 .052242 .007830 r_peak,r_snr = .1561232 11.1068 1646 -.063 5446 .188 11.10680 .007742 .130357 .007972 r_peak,r_snr = .1231259 13.30486 1746 -.063 5446 -.531 13.30486 .014336 .177907 .016056 r_peak,r_snr = .1890746 5.74451 1846 -.219 5446 -.813 5.74451 .027470 .285337 .061939 r_peak,r_snr = .1746779 13.39754 1946 .188 5446 -.500 13.39755 .007947 .044731 .006363 r_peak,r_snr = .1609234 18.5529 2046 .031 5446 -.375 18.55291 .004365 .025588 .002730 At line = 5800 Reading in data.... r_peak,r_snr = .3151161 13.82699 146 .125 5846 -.375 13.82700 .003525 .014377 .000376 r_peak,r_snr = .1203302 9.46098 246 -.031 5846 -.125 9.46098 .009604 .073945 .005461 r_peak,r_snr = .1186084 13.61616 346 .188 5846 .375 13.61617 .008587 .035277 .003557 r_peak,r_snr = .2829461 12.51483 446 -.031 5846 .250 12.51484 .012436 .492335 .065862 r_peak,r_snr = .1865622 14.80581 546 .281 5846 -.906 14.80581 .008899 .040416 .002175 r_peak,r_snr = .2123524 34.31398 646 .188 5846 .344 34.31398 .005205 .024590 .000515 r_peak,r_snr = .1734996 13.70258 746 .000 5846 .656 13.70259 .010463 .391106 -.017906 r_peak,r_snr = .160226 13.5979 846 -.406 5846 -.438 13.59791 .014582 .086706 .017759 r_peak,r_snr = .341172 14.17959 946 -.188 5846 .281 14.17959 .002195 .028418 .001672 r_peak,r_snr = 9.76053E-02 12.32246 1046 .875 5846 -.781 12.32246 .034115 .067910 .029644 r_peak,r_snr = .1436333 21.8837 1146 .094 5846 -.406 21.88371 .008207 .049825 .006625 r_peak,r_snr = .3108242 8.63172 1246 .313 5846 .188 8.63172 .004567 .044867 -.000083 r_peak,r_snr = .2634877 20.49179 1346 .063 5846 -.094 20.49179 .002891 .021625 .001632 r_peak,r_snr = .1859641 11.20946 1446 -.188 5846 -.875 11.20947 .006287 .196160 -.003116 r_peak,r_snr = .3364924 12.76179 1546 -.063 5846 .031 12.76180 .002727 .021214 .002396 r_peak,r_snr = .1512151 9.22372 1646 -10.625 5846 -15.156 9.22372 .023500 .178395 .044826 r_peak,r_snr = .1448373 21.49787 1746 .125 5846 -.500 21.49788 .011167 .065129 .011618 r_peak,r_snr = .2157034 4.86135 1846 .375 5846 -.938 4.86135 .008988 .051760 .009457 r_peak,r_snr = .1614928 4.78224 1946 4.094 5846 -10.719 4.78224 .082437 .327373 .050298 r_peak,r_snr = .1071084 11.779 2046 -.875 5846 5.313 11.77900 .018670 .161083 .008763 ************************************************* ***** 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 94047 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 94047 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 94047 FOUND CALIB SET 94047 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: -12.6 -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: -12.60 deg Receiver phase difference is -151.90 deg Transmitter phase difference is -164.50 deg Cable phase difference is -77.87 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 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 1100 Thu Apr 30 21:30:28 PDT 1998 Thu Apr 30 21:30:28 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 @ 09:03:49 IDR=178900 FC=3,645,000 drft 9.0; started both ru ns early (lots of tape, and pilots on track); nice and smooth,8 43,480 drft -7.8 (started at -8.8); no photoruce Wheeler, Micha l Kobrick, Timothy William 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: 94047 94047 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5273 prod ID1:*5273*5273* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94047 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> 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 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 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 = 358.5 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 23-JUL-1994 Starting and end GPS times for SAR data -171772900.9310 -171772852.2760 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91249 53.86667 53.95667 .0257507 0 lond -104.55516 -104.58167 -104.52833 .0150596 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.29060 7647.73680 7661.75760 3.2971101 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87335 53.96341 .0258241 0 long -104.55706 -104.58317 -104.53039 .0151296 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8077.68018 8099.16016 6.3377424 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 = -171772900.930737 -171772900.931 GPS trend coefficients = 12.64438849426002 -32.2659387693029 10.51366302696849 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000007 0 va -.01634 -.18091 .15353 .0540018 0 ca .00387 -.09283 .12021 .0274589 0 aa -.02593 -.06903 .02737 .0141784 0 hdg -21.74985 -21.80237 -21.70349 .0261130 0 trc -18.79428 -18.83057 -18.75916 .0234761 0 tgs 216.52410 216.25913 216.64496 .1231387 0 roll -1.20248 -1.34583 -1.07117 .0695251 0 pitch -.14254 -.19775 -.07141 .0357198 0 delx .25721 .25719 .25722 .0000090 0 lati 53.91312 53.86837 53.95798 .0258821 0 loni -104.56207 -104.58796 -104.53629 .0149139 0 latd 53.91247 53.86833 53.95667 .0257659 0 lond -104.55517 -104.58167 -104.53000 .0150551 0 balt 7957.62839 7955.88960 7961.68080 1.5137346 0 ralt 7655.28631 7647.73680 7661.75760 3.2936514 0 dpth -.40000 -.40000 -.40000 .0000001 0 droll -1.19281 -1.30000 -1.10000 .0720995 0 thd 338.60625 338.50000 338.70000 .0314990 0 dad 2.15984 2.10000 2.30000 .0530033 0 latg 53.91891 53.87519 53.96341 .0258192 0 long -104.55706 -104.58317 -104.53146 .0151267 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8086.42505 8085.58726 8087.44617 .3964505 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 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .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 .00573 -.16133 .17376 .0533585 0 ca .00304 -.09301 .12044 .0272535 0 aa -.02534 -.06916 .02743 .0147684 0 Average Barometric Altitude = 7957.628388750036 Average Radar Altitude = 7655.286314999978 Average GPS Altitude = 8086.425054931753 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.041417405360789E-04 Standard deviation of difference = 2.890547512215072E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8972588 -104.5443802 8086.017 End position = 53.9413872 -104.5702209 8085.937 Loxodromic Heading (deg) = -19.0686616 Loxodromic Distance (km) = 5196.8078896 Geodesic Heading (deg) = -19.0582222 Geodesic Distance (km) = 5196.8078310 Peg latitude and longitude = 53.9193344 -104.5572891 Peg heading = -19.0835881 Rotation matrix First row = -.148024735 -.124478484 -.981118640 Second row = -.570017337 .821430672 -.018217755 Third row = .808188662 .556557956 -.192546952 Translation vector Vector = -1971.16181 -7590.59899 -23821.27493 Local Radius of Curvature = 6378810.85774158 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2544792550929893 Delta s on reference surface = .2544792564689803 Making fits... Vertical fit coefficients = 8086.122612979212 2.588390401069773E-02 -2.834979779567703E-03 Cross track fit coefficients = 1.23776399481715 -2.624946088261977E-02 2.107119578362676E-03 Along track fit coefficients = -5312.33868802552 216.1692836745134 1.596638176649989E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3218.259912903883 Time orgin = -171772900.930737 Pulse spacing = .2572078735240478 First frame = 4413720 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/cm5273_p.par Enter the raw data file name. /data2/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5273_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): (-206.525,.0) (-150.922,.0) (-214.469,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 66205.37 Pulse#/64: 65 1073 43512.38 Pulse#/64: 129 1073 263164.3 Pulse#/64: 193 1073 215023.5 Pulse#/64: 257 1073 161928.6 Estimate Caltone : 1156 -----CalTone Estimate Position --- CalTone Bin at : 1156 1073 CalTone Bin offset : -83 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.96539Power RMS: 3.35963 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 377.6729Amp. RMS: 127.4213 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -30.122Phase RMS: 227.6596 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 86.98897 CalTone Power Coherently dB : 50.96539 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 86.98897 Incoherent PW - Coherent PW : 36.02358 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22263.34 CalTone Amplitude Coherently : 377.6729 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 21885.67 ------------ *** ------------ running time (sec): 70.22 ********** 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/cm5273_p.par Enter the raw data file name. /data2/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5273_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): (-187.11,.0) (-35.8296,.0) (55.735,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 312723.9 Pulse#/64: 65 1073 161166.7 Pulse#/64: 129 1073 134921.9 Pulse#/64: 193 1073 222433.8 Pulse#/64: 257 1073 196257.2 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.11725Power RMS: 1.16393 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 456.8193Amp. RMS: 61.42882 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 19.67668Phase RMS: 239.7165 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.18281 CalTone Power Coherently dB : 53.11725 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.18281 Incoherent PW - Coherent PW : 36.06555 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28791.42 CalTone Amplitude Coherently : 456.8193 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28334.6 ------------ *** ------------ running time (sec): 66.35 ********** 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/cm5273_p.par Enter the raw data file name. /data2/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5273_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): (-266.732,.0) (-3.98107,.0) (31.84857,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 134682.3 Pulse#/64: 65 1073 97856.87 Pulse#/64: 129 1073 125824.4 Pulse#/64: 193 1073 132215.2 Pulse#/64: 257 1073 102337.5 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.98507Power RMS: 1.34557 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 358.4144Amp. RMS: 56.17042 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -15.224Phase RMS: 235.8595 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.07851 CalTone Power Coherently dB : 50.98507 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.07851 Incoherent PW - Coherent PW : 36.09343 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22631.29 CalTone Amplitude Coherently : 358.4144 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22272.88 ------------ *** ------------ running time (sec): 66.97 ********** 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/cm5273_p.par Enter the raw data file name. /data2/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5273_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): (182.6955,.0) (-103.263,.0) (198.582,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 399492.1 Pulse#/64: 65 1073 234482.4 Pulse#/64: 129 1073 224585.3 Pulse#/64: 193 1073 527073.2 Pulse#/64: 257 1073 217074.8 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.42383Power RMS: 2.62249 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 491.7245Amp. RMS: 171.8995 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 36.98683Phase RMS: 231.7079 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.1932 CalTone Power Coherently dB : 53.42383 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.1932 Incoherent PW - Coherent PW : 35.76937 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28813.95 CalTone Amplitude Coherently : 491.7245 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28322.23 ------------ *** ------------ running time (sec): 66.02 ********** 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: 1.25991 -3.02603E-05 z fit: constant and linear terms: .3024865 -8.49258E-11 y and z standard deviations (meters) .4331308 .3679376 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 = -5.01255E-02 -5.06737E-02 -4.91644E-02 -4.89312E-02 Differences = -4.01787E-04 -9.50024E-04 5.59349E-04 7.92503E-04 PATCH NUMER 2 First line = 3493 Averages = -4.97542E-02 -4.87332E-02 -4.93724E-02 -4.94187E-02 Differences = -4.34555E-04 5.86387E-04 -5.27725E-05 -9.90294E-05 PATCH NUMER 3 First line = 6985 Averages = -4.93129E-02 -4.94308E-02 -4.92650E-02 -4.84117E-02 Differences = -2.07767E-04 -3.25739E-04 -1.59930E-04 6.93422E-04 PATCH NUMER 4 First line = 10477 Averages = -4.93626E-02 -4.86437E-02 -4.84281E-02 -4.86584E-02 Differences = -5.89363E-04 1.29458E-04 3.45070E-04 1.14821E-04 PATCH NUMER 5 First line = 13969 Averages = -4.83951E-02 -4.85323E-02 -4.87767E-02 -4.91777E-02 Differences = 3.25374E-04 1.88138E-04 -5.63152E-05 -4.57238E-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/cm5273_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) = 430.7999 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/cm5273_p.mocomph Output file name? /data3/airops/cm5273_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 = 2.437 Processing 5 blocks Processing block number 1 reference line: 4096 2.437 seconds. Range compression done, time = 122.663 Motion comp. coeff. calculated, time = 122.759 Motion comp. added to patch, time = 215.210 Doppler estimation done, time = 215.210 Azimuth compression starting, time : 215.367 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 597.148 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 618.941 seconds. Range compression done, time = 725.412 Motion comp. coeff. calculated, time = 725.515 Motion comp. added to patch, time = 801.834 Doppler estimation done, time = 801.834 Azimuth compression starting, time : 801.962 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1210.437 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1229.900 seconds. Range compression done, time = 1336.797 Motion comp. coeff. calculated, time = 1337.052 Motion comp. added to patch, time = 1413.349 Doppler estimation done, time = 1413.349 Azimuth compression starting, time : 1413.484 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1824.331 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1844.567 seconds. Range compression done, time = 1951.193 Motion comp. coeff. calculated, time = 1951.360 Motion comp. added to patch, time = 2027.620 Doppler estimation done, time = 2027.621 Azimuth compression starting, time : 2027.757 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2442.105 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2461.720 seconds. Range compression done, time = 2567.378 Motion comp. coeff. calculated, time = 2567.525 Motion comp. added to patch, time = 2643.503 Doppler estimation done, time = 2643.503 Azimuth compression starting, time : 2643.621 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3058.888 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_p.hh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_p.mocomph Output file name? /data3/airops/cm5273_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 = 2.289 Processing 5 blocks Processing block number 1 reference line: 4096 2.290 seconds. Range compression done, time = 113.017 Motion comp. coeff. calculated, time = 113.057 Motion comp. added to patch, time = 192.009 Doppler estimation done, time = 192.010 Azimuth compression starting, time : 192.126 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 570.186 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.683 seconds. Range compression done, time = 697.476 Motion comp. coeff. calculated, time = 697.527 Motion comp. added to patch, time = 773.547 Doppler estimation done, time = 773.548 Azimuth compression starting, time : 773.672 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1152.203 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1169.499 seconds. Range compression done, time = 1275.640 Motion comp. coeff. calculated, time = 1275.893 Motion comp. added to patch, time = 1352.276 Doppler estimation done, time = 1352.276 Azimuth compression starting, time : 1352.403 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1730.872 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1751.130 seconds. Range compression done, time = 1857.456 Motion comp. coeff. calculated, time = 1857.646 Motion comp. added to patch, time = 1934.005 Doppler estimation done, time = 1934.005 Azimuth compression starting, time : 1934.139 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2312.435 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2332.036 seconds. Range compression done, time = 2437.205 Motion comp. coeff. calculated, time = 2437.341 Motion comp. added to patch, time = 2513.807 Doppler estimation done, time = 2513.807 Azimuth compression starting, time : 2513.925 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2891.830 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_p.hv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_p.mocompv Output file name? /data3/airops/cm5273_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 = 2.351 Processing 5 blocks Processing block number 1 reference line: 4096 2.351 seconds. Range compression done, time = 113.046 Motion comp. coeff. calculated, time = 113.086 Motion comp. added to patch, time = 192.833 Doppler estimation done, time = 192.865 Azimuth compression starting, time : 192.980 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 571.421 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.949 seconds. Range compression done, time = 697.640 Motion comp. coeff. calculated, time = 697.702 Motion comp. added to patch, time = 773.552 Doppler estimation done, time = 773.552 Azimuth compression starting, time : 773.681 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1152.314 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1167.213 seconds. Range compression done, time = 1273.870 Motion comp. coeff. calculated, time = 1274.146 Motion comp. added to patch, time = 1359.228 Doppler estimation done, time = 1359.228 Azimuth compression starting, time : 1359.350 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1736.955 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1757.867 seconds. Range compression done, time = 1863.736 Motion comp. coeff. calculated, time = 1863.915 Motion comp. added to patch, time = 1940.342 Doppler estimation done, time = 1940.342 Azimuth compression starting, time : 1940.475 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2322.200 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2342.102 seconds. Range compression done, time = 2448.107 Motion comp. coeff. calculated, time = 2448.234 Motion comp. added to patch, time = 2533.882 Doppler estimation done, time = 2533.882 Azimuth compression starting, time : 2534.000 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2923.014 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_p.vh Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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/cm5273_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) = 430.7999 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/cm5273_p.mocompv Output file name? /data3/airops/cm5273_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 = 2.372 Processing 5 blocks Processing block number 1 reference line: 4096 2.372 seconds. Range compression done, time = 113.557 Motion comp. coeff. calculated, time = 113.598 Motion comp. added to patch, time = 194.348 Doppler estimation done, time = 194.348 Azimuth compression starting, time : 194.465 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 576.763 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 598.098 seconds. Range compression done, time = 703.448 Motion comp. coeff. calculated, time = 703.489 Motion comp. added to patch, time = 780.042 Doppler estimation done, time = 780.042 Azimuth compression starting, time : 780.173 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1191.964 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1209.792 seconds. Range compression done, time = 1315.868 Motion comp. coeff. calculated, time = 1316.139 Motion comp. added to patch, time = 1392.618 Doppler estimation done, time = 1392.619 Azimuth compression starting, time : 1392.752 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1808.553 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1828.490 seconds. Range compression done, time = 1934.433 Motion comp. coeff. calculated, time = 1934.595 Motion comp. added to patch, time = 2010.931 Doppler estimation done, time = 2010.931 Azimuth compression starting, time : 2011.071 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2429.243 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2448.765 seconds. Range compression done, time = 2554.327 Motion comp. coeff. calculated, time = 2554.464 Motion comp. added to patch, time = 2630.768 Doppler estimation done, time = 2630.768 Azimuth compression starting, time : 2630.886 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3051.151 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5273_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/cm5273_p.vv Name of the doppler parameter file? /data3/airops/cm5273_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/cm5273_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 = 1079 1080 3176 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3175 Processing block number 2 3176 4593 21 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4592 4593 6689 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6688 Processing block number 3 6689 8084 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8083 8084 10180 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10179 Processing block number 4 10180 11566 -10 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1087 -2 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3183 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15470 Writing the last 4286 lines Total # of output lines = 19756 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: 1097 *************************************** ***** ***** ***** 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 94047 writing parheadP writing parhead 20.0 writing parhead 89.19999 writing parhead 87.09999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01588 27.18934 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 246 3046 .192 .154 .203 .415 .515 .350 .318 .285 .108 .236 .169 .210 .472 .688 .443 .304 .272 .115 .283 .197 .245 .561 .854 .515 .287 .254 .123 .319 .242 .310 .672 .964 .537 .265 .226 .129 .335 .304 .395 .772 1.000 .511 .236 .196 .136 .323 .366 .475 .826 .964 .456 .204 .171 .144 .280 .403 .516 .814 .873 .396 .174 .149 .147 .219 .395 .505 .750 .753 .347 .150 .131 .142 .154 .344 .451 .661 .634 .314 .135 .116 .127 r_peak,r_snr = .2867664 7.16937 Correlation Surface of oversamples image at 246 3046 .209 .307 .495 .727 .789 .592 .330 .191 .164 .218 .333 .551 .814 .877 .647 .351 .193 .158 .234 .368 .611 .892 .948 .692 .371 .197 .154 .258 .406 .667 .950 .990 .718 .385 .202 .154 .288 .446 .712 .980 1.000 .724 .395 .207 .154 .325 .488 .750 .991 .989 .719 .402 .213 .156 .366 .531 .779 .984 .962 .708 .407 .219 .160 .403 .563 .786 .948 .913 .684 .407 .223 .160 .433 .582 .774 .894 .852 .653 .403 .224 .158 246 -.219 3046 -2.781 7.16937 .014438 .735119 .071342 Correlation Surface at 346 3046 .353 .400 .341 .336 .567 .550 .524 .282 .212 .300 .386 .368 .408 .713 .687 .680 .340 .237 .241 .354 .372 .477 .855 .811 .807 .376 .240 .193 .309 .348 .532 .959 .874 .841 .373 .220 .161 .256 .302 .566 1.000 .847 .755 .326 .189 .145 .205 .249 .578 .977 .739 .588 .258 .162 .141 .165 .203 .570 .908 .594 .415 .195 .153 .133 .136 .176 .548 .809 .457 .285 .156 .169 .112 .119 .174 .516 .694 .354 .212 .142 .211 r_peak,r_snr = .2632517 4.93261 Correlation Surface of oversamples image at 346 3046 .432 .470 .573 .742 .809 .731 .691 .744 .722 .456 .512 .638 .824 .887 .797 .754 .804 .761 .466 .540 .689 .890 .947 .842 .790 .828 .763 .462 .555 .725 .937 .985 .864 .800 .819 .733 .451 .560 .747 .963 1.000 .866 .789 .786 .683 .431 .553 .753 .968 .992 .847 .757 .730 .614 .399 .530 .738 .950 .961 .807 .702 .651 .529 .362 .497 .710 .915 .915 .756 .636 .565 .441 .329 .465 .680 .878 .869 .706 .575 .488 .366 346 .813 3046 -11.219 4.93261 .021621 1.112765 .097769 Correlation Surface at 446 3046 .622 .637 .635 .758 .936 .935 .790 .688 .664 .588 .611 .639 .775 .966 .913 .756 .683 .690 .548 .578 .629 .784 .985 .902 .734 .674 .701 .511 .552 .618 .796 .997 .906 .732 .666 .697 .483 .539 .615 .814 1.000 .915 .747 .660 .677 .463 .537 .625 .844 .999 .921 .775 .661 .650 .450 .544 .652 .883 .995 .921 .810 .672 .626 .443 .557 .694 .925 .988 .918 .843 .692 .609 .441 .571 .741 .959 .980 .917 .866 .717 .603 r_peak,r_snr = .4908789 2.01314 Correlation Surface of oversamples image at 446 3046 2.682 3.007 3.384 3.646 3.739 3.763 3.688 3.358 2.876 2.714 3.070 3.472 3.728 3.797 3.802 3.720 3.407 2.952 2.737 3.119 3.534 3.778 3.824 3.813 3.726 3.434 3.014 2.806 3.210 3.632 3.862 3.891 3.869 3.778 3.506 3.116 446 -1.188 3046 2.813 2.01314 .052142 35.359055 1.218091 Correlation Surface at 546 3046 .228 .325 .484 .711 .985 .832 .772 .686 .555 .229 .350 .524 .759 1.000 .847 .796 .697 .539 .224 .371 .569 .812 .980 .830 .796 .681 .513 .216 .381 .601 .854 .932 .789 .779 .650 .482 .205 .378 .612 .879 .875 .744 .757 .617 .450 .195 .363 .602 .895 .837 .718 .741 .589 .423 r_peak,r_snr = .4932179 3.33267 Correlation Surface of oversamples image at 546 3046 1.615 1.981 2.433 3.056 3.661 3.798 3.513 3.261 3.258 1.596 1.980 2.481 3.151 3.721 3.754 3.418 3.177 3.193 1.564 1.969 2.525 3.244 3.767 3.696 3.318 3.092 3.127 1.565 1.998 2.624 3.403 3.880 3.710 3.297 3.085 3.136 546 -.406 3046 -10.188 3.33267 .008247 .504408 .038213 Correlation Surface at 646 3046 .000 .005 .067 .337 .726 .745 .543 .369 .144 .000 .011 .079 .350 .807 .817 .557 .341 .135 .000 .018 .092 .371 .899 .878 .526 .305 .131 .001 .024 .104 .399 .972 .890 .455 .272 .131 .002 .026 .120 .435 1.000 .838 .368 .251 .136 .003 .027 .140 .471 .972 .736 .294 .247 .149 .004 .027 .163 .492 .901 .618 .251 .259 .167 .004 .029 .182 .485 .809 .524 .248 .284 .185 .003 .033 .189 .451 .717 .474 .286 .312 .198 r_peak,r_snr = .3235468 5.97933 Correlation Surface of oversamples image at 646 3046 .078 .183 .373 .648 .912 .985 .808 .560 .403 .079 .187 .390 .683 .949 .994 .783 .526 .371 .082 .196 .413 .722 .979 .987 .745 .485 .339 .087 .209 .440 .759 .999 .964 .697 .440 .308 .092 .221 .463 .786 1.000 .924 .640 .393 .277 .095 .231 .482 .801 .985 .872 .579 .348 .251 .100 .243 .499 .811 .964 .822 .528 .314 .235 .105 .254 .512 .814 .939 .774 .486 .292 .230 .105 .255 .508 .795 .895 .719 .444 .273 .229 646 .188 3046 2.969 5.97933 .012043 .888505 .077209 Correlation Surface at 946 3046 .009 .038 .319 .696 .730 .429 .211 .297 .301 .008 .052 .336 .710 .840 .499 .216 .269 .287 .012 .075 .368 .737 .934 .586 .251 .260 .263 .019 .103 .402 .751 .989 .686 .321 .274 .243 .026 .129 .424 .735 1.000 .786 .412 .307 .235 .028 .140 .424 .689 .981 .867 .498 .346 .240 .024 .134 .398 .629 .955 .918 .561 .375 .251 .017 .114 .351 .577 .935 .934 .595 .381 .259 .012 .091 .298 .546 .919 .921 .612 .365 .255 r_peak,r_snr = .2602518 5.01588 Correlation Surface of oversamples image at 946 3046 1.814 2.043 2.623 3.348 3.532 3.006 2.347 1.875 1.555 1.668 1.889 2.512 3.332 3.615 3.135 2.474 1.963 1.589 1.524 1.751 2.418 3.322 3.682 3.238 2.572 2.022 1.597 1.461 1.713 2.440 3.427 3.847 3.418 2.730 2.128 1.647 946 .469 3046 1.813 5.01588 .205628 9.266577 -1.310893 Correlation Surface at 1046 3046 .036 .038 .002 .042 .404 .450 .229 .248 .037 .031 .047 .008 .073 .579 .572 .230 .228 .048 .024 .052 .019 .124 .771 .674 .225 .181 .066 .017 .050 .033 .187 .932 .737 .214 .126 .088 .011 .042 .052 .254 1.000 .744 .195 .078 .104 .006 .031 .081 .312 .934 .676 .167 .044 .104 .004 .025 .120 .336 .749 .539 .132 .026 .093 r_peak,r_snr = .1954763 9.42229 Correlation Surface of oversamples image at 1046 3046 .006 .063 .257 .585 .855 .859 .666 .472 .350 .013 .087 .315 .665 .917 .887 .665 .446 .301 .023 .114 .373 .734 .960 .893 .644 .403 .239 .036 .146 .433 .797 .988 .885 .614 .354 .179 .054 .181 .490 .847 1.000 .865 .577 .301 .124 .075 .216 .534 .874 .988 .829 .531 .248 .078 .097 .245 .561 .876 .950 .775 .477 .197 .044 .118 .266 .566 .847 .885 .704 .418 .151 .020 .140 .282 .556 .797 .803 .627 .361 .114 .007 1046 -3.531 3046 11.188 9.42229 .010851 .520066 .036471 Correlation Surface at 1146 3046 .301 .450 .557 .632 .835 .938 .615 .480 .626 .321 .455 .575 .700 .884 .961 .623 .534 .676 .340 .471 .613 .777 .938 .976 .643 .608 .712 .357 .499 .672 .849 .982 .974 .663 .685 .721 .366 .526 .733 .893 1.000 .948 .676 .738 .693 .365 .536 .759 .885 .980 .896 .679 .753 .627 .357 .528 .737 .828 .928 .827 .670 .727 .542 .352 .512 .678 .745 .870 .765 .655 .674 .464 .355 .499 .605 .666 .830 .726 .645 .614 .414 r_peak,r_snr = .399291 2.52363 Correlation Surface of oversamples image at 1146 3046 .615 .746 .855 .934 .957 .894 .736 .562 .461 .643 .777 .881 .957 .976 .900 .728 .551 .460 .667 .800 .899 .973 .990 .903 .719 .544 .464 .685 .817 .911 .985 .999 .902 .709 .538 .474 .695 .822 .913 .989 1.000 .893 .696 .533 .486 .696 .816 .905 .982 .990 .875 .677 .526 .498 .688 .800 .889 .968 .971 .848 .653 .518 .510 .673 .778 .868 .948 .945 .814 .626 .511 .524 .650 .748 .841 .923 .912 .776 .597 .504 .537 1146 .313 3046 -7.781 2.52363 .101378 1.096906 .239465 Correlation Surface at 1246 3046 .010 .000 .055 .415 .872 .566 .201 .077 .010 .013 .001 .044 .413 .894 .581 .222 .082 .008 .013 .001 .035 .417 .930 .603 .240 .080 .005 .010 .001 .029 .422 .972 .633 .254 .075 .003 .007 .001 .025 .421 1.000 .668 .265 .069 .001 .003 .000 .024 .408 1.000 .705 .276 .067 .001 .001 .000 .023 .381 .965 .735 .285 .067 .001 .001 .000 .022 .340 .905 .746 .289 .070 .002 .001 .000 .019 .294 .828 .727 .286 .074 .003 r_peak,r_snr = .4247941 9.03586 Correlation Surface of oversamples image at 1246 3046 .228 .381 .615 .848 .913 .833 .750 .694 .584 .206 .365 .618 .870 .942 .860 .774 .710 .585 .187 .351 .620 .891 .968 .880 .787 .713 .577 .172 .335 .614 .904 .988 .893 .790 .706 .564 .155 .312 .595 .903 1.000 .902 .789 .697 .552 .139 .284 .562 .885 .999 .904 .785 .686 .541 .127 .257 .521 .853 .987 .901 .780 .678 .535 .116 .229 .472 .805 .959 .888 .771 .672 .532 .104 .196 .412 .736 .909 .859 .754 .661 .528 1246 .438 3046 1.531 9.03586 .002823 1.166593 -.030581 Correlation Surface at 1346 3046 .037 .136 .240 .340 .583 .562 .126 .017 .014 .056 .177 .282 .410 .746 .672 .144 .024 .024 .084 .227 .313 .462 .889 .714 .149 .033 .023 .117 .277 .321 .487 .978 .674 .137 .041 .013 .152 .317 .308 .490 1.000 .576 .110 .043 .003 .188 .343 .285 .483 .964 .462 .081 .038 .001 .220 .349 .258 .483 .889 .364 .057 .029 .008 .237 .327 .231 .495 .802 .292 .041 .019 .022 .227 .268 .202 .514 .722 .242 .031 .010 .032 r_peak,r_snr = .2269102 6.18039 Correlation Surface of oversamples image at 1346 3046 .230 .202 .295 .508 .674 .577 .287 .075 .009 .239 .231 .359 .616 .790 .647 .311 .081 .009 .252 .264 .426 .721 .888 .694 .321 .082 .008 .273 .305 .500 .819 .962 .712 .317 .080 .008 .298 .351 .572 .900 1.000 .698 .298 .075 .008 .324 .395 .635 .954 .998 .652 .265 .066 .007 .349 .437 .686 .977 .957 .582 .223 .055 .006 .372 .474 .723 .972 .883 .498 .180 .044 .005 .391 .505 .746 .941 .788 .410 .140 .034 .004 1346 .344 3046 .313 6.18039 .016721 1.967609 .131756 Correlation Surface at 1446 3046 .352 .457 .496 .578 .678 .477 .413 .379 .351 .362 .466 .476 .609 .745 .494 .388 .333 .303 .353 .430 .438 .652 .839 .534 .345 .259 .238 .333 .369 .395 .702 .940 .573 .286 .182 .178 .307 .305 .359 .735 1.000 .578 .228 .128 .138 .283 .257 .332 .732 .986 .538 .186 .103 .117 .263 .231 .316 .696 .899 .471 .165 .101 .108 .245 .223 .309 .642 .768 .404 .164 .116 .105 .221 .223 .310 .587 .635 .358 .182 .138 .104 r_peak,r_snr = .3006914 4.02604 Correlation Surface of oversamples image at 1446 3046 .429 .496 .636 .774 .838 .800 .669 .483 .311 .404 .491 .657 .819 .895 .848 .684 .461 .272 .382 .487 .676 .858 .946 .890 .692 .438 .239 .363 .480 .686 .886 .986 .918 .689 .412 .210 .342 .465 .680 .893 1.000 .922 .670 .382 .185 .322 .446 .661 .878 .987 .901 .638 .353 .165 .309 .430 .639 .854 .960 .865 .602 .331 .156 .299 .414 .615 .820 .917 .817 .566 .315 .155 .286 .393 .579 .767 .850 .749 .521 .300 .156 1446 .063 3046 2.469 4.02604 .007897 .508449 .014850 Correlation Surface at 1546 3046 .320 .518 .730 .844 .863 .748 .553 .397 .347 .334 .511 .720 .874 .898 .750 .572 .436 .365 .356 .496 .701 .910 .943 .750 .588 .480 .386 .382 .478 .683 .945 .982 .742 .594 .520 .408 .404 .461 .667 .964 1.000 .727 .589 .546 .425 .415 .444 .651 .953 .985 .704 .576 .555 .430 .414 .427 .630 .912 .941 .680 .563 .549 .424 .404 .413 .600 .851 .891 .667 .558 .536 .410 .393 .402 .566 .784 .854 .673 .568 .520 .391 r_peak,r_snr = .5041638 2.29717 Correlation Surface of oversamples image at 1546 3046 .497 .615 .753 .882 .929 .852 .697 .550 .455 .482 .601 .755 .902 .957 .872 .703 .548 .454 .470 .591 .756 .919 .981 .890 .710 .550 .455 .460 .582 .756 .930 .997 .902 .715 .552 .457 .450 .571 .749 .928 1.000 .905 .716 .552 .459 .439 .557 .735 .914 .989 .898 .714 .553 .461 .431 .546 .719 .894 .971 .888 .713 .557 .468 .424 .535 .701 .866 .945 .873 .711 .562 .476 .413 .519 .672 .826 .906 .849 .703 .565 .483 1546 -.531 3046 3.313 2.29717 .008122 .473626 .021074 Correlation Surface at 1646 3046 .513 .616 .597 .685 .739 .663 .619 .651 .600 .480 .585 .617 .764 .839 .691 .623 .676 .601 .467 .573 .653 .854 .929 .719 .636 .698 .598 .479 .584 .700 .933 .988 .745 .663 .717 .598 .512 .610 .748 .975 1.000 .768 .701 .731 .611 .558 .640 .782 .966 .964 .775 .733 .739 .640 .607 .665 .792 .923 .904 .769 .754 .740 .675 .643 .674 .773 .867 .845 .755 .762 .735 .704 .662 .669 .727 .815 .796 .739 .761 .725 .720 r_peak,r_snr = .5213187 1.7698 Correlation Surface of oversamples image at 1646 3046 .502 .525 .626 .779 .874 .859 .754 .621 .529 .516 .553 .673 .836 .924 .887 .760 .619 .531 .531 .582 .717 .886 .963 .906 .763 .618 .536 .547 .609 .755 .925 .989 .916 .762 .617 .542 .559 .630 .782 .948 1.000 .916 .757 .618 .550 .567 .644 .795 .951 .994 .906 .749 .619 .558 .574 .651 .796 .941 .977 .891 .743 .624 .571 .577 .651 .785 .916 .951 .874 .739 .633 .587 .570 .636 .755 .873 .910 .846 .729 .638 .597 1646 -.625 3046 -3.313 1.76980 .008839 .193079 .000143 Correlation Surface at 1746 3046 .607 .699 .701 .824 .972 .827 .642 .543 .368 .615 .684 .702 .826 .989 .799 .634 .574 .411 .614 .680 .722 .848 .995 .778 .645 .627 .487 .606 .683 .761 .888 .998 .769 .667 .686 .571 .596 .691 .812 .932 1.000 .770 .691 .726 .632 .590 .705 .860 .962 .999 .772 .710 .732 .645 .590 .724 .886 .965 .993 .766 .718 .696 .605 .601 .745 .880 .943 .979 .748 .714 .629 .532 .624 .767 .852 .905 .949 .728 .709 .553 .456 r_peak,r_snr = .3721568 1.84567 Correlation Surface of oversamples image at 1746 3046 .616 .601 .654 .729 .774 .749 .625 .629 .701 .793 .845 .820 .643 .666 .754 .855 .911 .882 .674 .714 .812 .913 .966 .935 .709 .766 .866 .956 1.000 .967 .739 .807 .901 .972 1.000 .964 .763 .838 .918 .963 .970 .931 .791 .866 .927 .941 .926 .884 .813 .884 .921 .901 .863 .820 1746 .813 3046 -10.688 1.84567 3.943313 ********** 66.397591 Correlation Surface at 1846 3046 .190 .237 .448 .727 .855 .573 .363 .215 .243 .195 .251 .507 .775 .910 .626 .389 .216 .261 .205 .273 .557 .803 .957 .687 .400 .219 .281 .221 .303 .587 .803 .988 .734 .389 .223 .303 .243 .334 .589 .780 1.000 .746 .360 .226 .321 .268 .363 .568 .746 .996 .717 .326 .229 .334 .292 .384 .532 .715 .973 .653 .297 .229 .337 .315 .395 .494 .696 .922 .573 .281 .225 .325 .337 .398 .467 .684 .841 .498 .278 .215 .303 r_peak,r_snr = .418411 3.01103 Correlation Surface of oversamples image at 1846 3046 .640 .712 .810 .920 .967 .905 .742 .531 .335 .616 .682 .787 .913 .980 .928 .752 .520 .317 .587 .650 .763 .905 .988 .940 .748 .500 .299 .561 .623 .746 .903 .998 .946 .735 .478 .284 .535 .601 .734 .901 1.000 .937 .711 .453 .271 .509 .578 .720 .891 .985 .907 .671 .422 .257 .488 .563 .708 .876 .956 .860 .623 .392 .248 .483 .564 .711 .868 .927 .811 .580 .373 .249 1846 .094 3046 7.781 3.01103 .008394 3.720870 -.086843 Correlation Surface at 1946 3046 .102 .396 .009 .063 .353 .695 .394 .273 .149 .170 .378 .010 .068 .550 .876 .466 .298 .136 .220 .319 .011 .097 .796 .977 .507 .312 .137 .228 .248 .013 .140 .980 .978 .529 .329 .147 .204 .185 .014 .169 1.000 .890 .528 .353 .158 .184 .144 .015 .155 .835 .741 .506 .368 .155 r_peak,r_snr = .1338566 7.30618 Correlation Surface of oversamples image at 1946 3046 .104 .268 .539 .820 .910 .783 .600 .412 .201 .154 .346 .621 .871 .931 .799 .632 .440 .204 .208 .420 .682 .897 .941 .820 .673 .478 .220 .266 .492 .734 .927 .970 .868 .740 .542 .259 .314 .544 .764 .944 1.000 .922 .817 .621 .317 .330 .551 .747 .923 .999 .952 .876 .694 .379 .315 .520 .698 .879 .980 .965 .921 .768 .450 .291 .475 .644 .841 .969 .982 .971 .857 .540 .250 .412 .575 .790 .938 .966 .991 .931 .623 1946 9.938 3046 13.156 7.30618 .019693 .609075 .039650 Correlation Surface at 2046 3046 .002 .116 .272 .536 .548 .275 .067 .006 .001 .001 .143 .232 .488 .687 .399 .057 .004 .004 .005 .165 .198 .437 .835 .537 .068 .009 .012 .020 .170 .180 .399 .956 .662 .097 .025 .030 .047 .159 .176 .370 1.000 .745 .143 .056 .058 .071 .134 .175 .341 .945 .766 .202 .106 .091 .078 .106 .167 .288 .797 .724 .268 .180 .125 .068 .083 .148 .206 .586 .633 .330 .270 .150 .053 .074 .123 .118 .373 .522 .369 .343 .158 r_peak,r_snr = .1848907 8.39432 Correlation Surface of oversamples image at 2046 3046 .224 .417 .644 .801 .822 .707 .464 .179 .028 .209 .403 .637 .820 .891 .800 .525 .193 .028 .202 .394 .630 .832 .948 .882 .578 .207 .030 .202 .390 .620 .831 .986 .944 .620 .222 .036 .210 .389 .605 .816 1.000 .980 .645 .235 .043 .217 .384 .576 .777 .979 .976 .645 .240 .052 .225 .371 .530 .712 .919 .932 .621 .238 .062 .239 .360 .481 .636 .840 .868 .588 .239 .080 .254 .345 .423 .548 .740 .784 .545 .237 .102 2046 -1.750 3046 -.875 8.39432 .015841 1.041301 -.058563 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .222 .414 .475 .130 .120 .087 .331 .582 .459 .076 .102 .124 .455 .763 .455 .040 .076 .157 .566 .915 .461 .022 .051 .178 .623 1.000 .465 .015 .032 .182 .616 .998 .459 .015 .024 .170 .554 .923 .433 .017 .022 .145 .462 .808 .384 .021 .026 .112 .376 .691 .316 .024 .034 .078 r_peak,r_snr = .2310949 5.38018 Correlation Surface of oversamples image at 146 3446 .315 .474 .647 .790 .812 .651 .373 .127 .020 .351 .522 .711 .868 .887 .699 .386 .121 .014 .380 .560 .760 .926 .944 .739 .399 .118 .011 .400 .584 .790 .962 .983 .770 .412 .118 .008 .408 .593 .800 .975 1.000 .787 .422 .119 .007 .402 .582 .785 .959 .989 .785 .425 .119 .006 .383 .554 .751 .922 .959 .769 .422 .121 .006 .354 .514 .701 .869 .912 .740 .414 .122 .007 .310 .454 .628 .791 .840 .688 .389 .117 .007 146 -14.188 3446 -5.469 5.38018 .008132 .740681 .012942 Correlation Surface at 246 3446 .014 .015 .139 .552 .588 .201 .019 .007 .016 .020 .022 .172 .658 .699 .248 .030 .005 .017 .018 .026 .196 .742 .829 .318 .047 .003 .017 .012 .024 .200 .775 .943 .398 .065 .002 .014 .004 .017 .182 .746 1.000 .469 .075 .002 .011 .001 .009 .148 .667 .980 .507 .073 .005 .009 .000 .003 .111 .567 .887 .501 .060 .012 .011 .001 .000 .082 .476 .759 .460 .044 .026 .017 .003 .000 .066 .411 .631 .400 .029 .048 .027 r_peak,r_snr = .2798277 12.04203 Correlation Surface of oversamples image at 246 3446 .105 .256 .496 .755 .874 .725 .435 .216 .104 .121 .285 .537 .804 .926 .781 .489 .257 .126 .134 .308 .565 .835 .968 .840 .554 .306 .153 .141 .318 .573 .844 .992 .892 .618 .360 .181 .143 .318 .565 .832 1.000 .933 .681 .415 .211 .142 .312 .545 .807 .995 .965 .741 .471 .240 .136 .297 .514 .768 .974 .982 .790 .518 .262 .123 .272 .471 .715 .936 .980 .820 .549 .274 .106 .241 .424 .657 .887 .963 .834 .567 .276 246 -.344 3446 .281 12.04203 .011598 .657062 -.056584 Correlation Surface at 346 3446 .450 .572 .775 .875 .814 .745 .661 .560 .520 .448 .578 .772 .891 .882 .804 .681 .572 .528 .436 .569 .753 .898 .939 .859 .705 .601 .547 .413 .545 .728 .904 .981 .899 .732 .645 .580 .382 .511 .705 .912 1.000 .923 .759 .697 .622 .349 .474 .685 .916 .997 .933 .780 .741 .660 .319 .442 .670 .907 .977 .934 .793 .764 .684 .296 .419 .658 .884 .948 .926 .798 .765 .694 .285 .408 .648 .850 .918 .916 .802 .753 .694 r_peak,r_snr = .5690515 2.33074 Correlation Surface of oversamples image at 346 3446 .737 .844 .910 .936 .932 .898 .842 .771 .696 .737 .853 .929 .962 .961 .927 .870 .793 .714 .735 .858 .943 .982 .983 .950 .892 .812 .730 .729 .860 .951 .994 .997 .965 .907 .825 .743 .721 .856 .952 .997 1.000 .971 .915 .833 .751 .711 .847 .945 .991 .994 .968 .915 .833 .752 .701 .835 .931 .978 .982 .960 .911 .830 .750 .691 .820 .912 .958 .964 .947 .903 .823 .744 .678 .799 .885 .930 .939 .928 .889 .811 .733 346 .750 3446 -2.594 2.33074 .015182 .612278 -.023763 Correlation Surface at 446 3446 .369 .254 .182 .378 .717 .609 .218 .113 .154 .324 .214 .191 .442 .803 .670 .267 .111 .156 .305 .223 .243 .550 .896 .728 .326 .118 .164 .327 .287 .339 .680 .966 .756 .370 .133 .173 .385 .392 .450 .794 1.000 .738 .381 .157 .185 .457 .502 .541 .859 .997 .680 .348 .186 .202 .506 .559 .580 .867 .964 .599 .284 .215 .229 .504 .536 .572 .831 .911 .515 .218 .241 .267 .443 .460 .545 .768 .847 .443 .173 .265 .316 r_peak,r_snr = .2202823 3.99205 Correlation Surface of oversamples image at 446 3446 .303 .303 .454 .733 .939 .931 .805 .657 .513 .356 .362 .523 .791 .968 .933 .784 .625 .482 .409 .419 .584 .833 .979 .922 .755 .584 .441 .468 .483 .650 .878 .994 .918 .737 .554 .406 .524 .545 .710 .914 1.000 .909 .721 .526 .372 .556 .584 .742 .916 .971 .871 .683 .482 .326 .565 .604 .751 .893 .917 .814 .632 .431 .277 .595 .647 .788 .902 .899 .794 .617 .412 .256 446 -1.500 3446 .781 3.99205 .249381 9.094822 1.409635 Correlation Surface at 546 3446 .090 .257 .370 .517 .746 .434 .138 .080 .086 .093 .245 .320 .532 .835 .474 .165 .086 .087 .089 .217 .279 .568 .913 .502 .205 .101 .092 .078 .182 .254 .626 .969 .516 .245 .121 .100 .065 .152 .249 .699 1.000 .517 .276 .144 .115 .053 .129 .262 .767 .994 .506 .294 .169 .139 .042 .116 .288 .804 .940 .488 .304 .197 .177 .036 .111 .312 .788 .844 .467 .305 .228 .235 .034 .115 .325 .717 .725 .442 .298 .258 .311 r_peak,r_snr = .2904652 6.00888 Correlation Surface of oversamples image at 546 3446 .318 .438 .621 .837 .914 .738 .445 .241 .154 .302 .435 .640 .876 .949 .753 .454 .258 .176 .291 .437 .663 .913 .977 .761 .463 .278 .202 .282 .443 .688 .944 .994 .761 .468 .297 .230 .278 .454 .712 .967 1.000 .754 .470 .314 .257 .279 .469 .737 .986 .999 .744 .471 .331 .282 .283 .487 .759 .996 .991 .730 .470 .345 .306 .289 .504 .775 .995 .971 .710 .465 .354 .323 .296 .519 .784 .984 .941 .683 .455 .359 .335 546 -.219 3446 -1.719 6.00888 .013457 2.479504 .132815 Correlation Surface at 646 3446 .054 .105 .201 .618 .732 .420 .298 .293 .162 .074 .102 .217 .703 .809 .425 .256 .260 .142 .093 .107 .247 .795 .898 .447 .217 .225 .120 .103 .116 .287 .878 .972 .473 .183 .194 .099 .101 .123 .329 .928 1.000 .483 .156 .169 .083 .086 .124 .362 .927 .965 .465 .136 .148 .073 .067 .120 .381 .875 .875 .422 .121 .129 .069 .048 .111 .380 .781 .746 .368 .111 .111 .069 .034 .099 .358 .657 .602 .315 .108 .097 .073 r_peak,r_snr = .2831343 7.22934 Correlation Surface of oversamples image at 646 3446 .230 .334 .529 .748 .840 .706 .437 .185 .066 .270 .388 .594 .821 .904 .747 .451 .184 .064 .310 .442 .659 .887 .958 .780 .463 .185 .064 .341 .488 .712 .935 .989 .796 .468 .185 .066 .365 .527 .755 .967 1.000 .796 .468 .187 .069 .385 .562 .794 .990 .999 .791 .470 .194 .076 .394 .586 .819 .992 .979 .772 .469 .204 .086 .381 .582 .810 .957 .923 .726 .451 .207 .093 .354 .560 .779 .897 .845 .663 .425 .207 .099 646 -.750 3446 4.469 7.22934 .010848 .828586 .020670 Correlation Surface at 746 3446 .162 .183 .273 .593 .944 .767 .311 .146 .089 .161 .216 .314 .664 1.000 .703 .216 .112 .071 .165 .240 .343 .697 .967 .588 .128 .079 .052 .171 .247 .343 .667 .854 .459 .069 .057 .042 .171 .236 .315 .588 .706 .348 .037 .045 .042 .167 .213 .276 .496 .571 .274 .026 .042 .055 r_peak,r_snr = .2612483 5.27254 Correlation Surface of oversamples image at 746 3446 .166 .297 .463 .666 .857 .908 .772 .556 .357 .180 .312 .486 .708 .913 .945 .761 .513 .311 .196 .330 .515 .754 .962 .961 .729 .456 .258 .212 .349 .545 .796 .994 .950 .676 .388 .202 .226 .365 .570 .826 1.000 .910 .604 .315 .147 .235 .375 .585 .835 .975 .842 .520 .242 .098 .243 .382 .592 .828 .930 .764 .437 .177 .060 .245 .380 .586 .801 .867 .680 .360 .125 .033 .234 .362 .555 .743 .780 .586 .287 .082 .014 746 .156 3446 -13.844 5.27254 .024647 .659899 .091412 Correlation Surface at 846 3446 .144 .317 .095 .074 .494 .300 .006 .336 .437 .281 .496 .107 .073 .558 .432 .018 .305 .506 .476 .663 .135 .129 .701 .545 .049 .185 .439 .675 .756 .179 .278 .877 .601 .117 .056 .281 .798 .740 .235 .529 1.000 .598 .220 .000 .120 .794 .632 .280 .792 .989 .556 .320 .031 .024 .681 .488 .286 .919 .847 .505 .367 .096 .000 .524 .365 .247 .830 .636 .447 .341 .148 .011 .387 .281 .174 .592 .431 .375 .266 .175 .028 r_peak,r_snr = .1274537 6.56089 Correlation Surface of oversamples image at 846 3446 .240 .437 .529 .363 .152 .049 .046 .372 .590 .696 .514 .249 .098 .086 .520 .741 .856 .668 .364 .173 .153 .660 .860 .972 .783 .472 .264 .244 .759 .914 1.000 .819 .539 .351 .342 .803 .892 .932 .763 .547 .411 .423 .827 .831 .802 .649 .512 .446 .485 .808 .707 .601 .468 .414 .426 .503 .685 .486 .328 .230 .238 .310 .418 846 -2.906 3446 8.406 6.56089 .143755 2.486455 .534574 Correlation Surface at 946 3446 .124 .037 .090 .171 .490 .476 .093 .028 .015 .089 .034 .120 .264 .688 .578 .100 .026 .009 .064 .038 .157 .394 .877 .608 .088 .021 .003 .046 .047 .193 .541 .999 .550 .064 .014 .001 .031 .061 .217 .658 1.000 .426 .039 .006 .000 .022 .076 .222 .702 .880 .282 .020 .000 .005 .019 .093 .212 .670 .700 .167 .010 .003 .020 .023 .108 .195 .595 .531 .101 .007 .019 .049 .033 .114 .176 .519 .418 .077 .011 .056 .084 r_peak,r_snr = .2085269 10.91727 Correlation Surface of oversamples image at 946 3446 .156 .234 .392 .594 .756 .770 .583 .301 .084 .168 .264 .456 .687 .846 .820 .586 .285 .079 .180 .294 .518 .772 .918 .844 .567 .260 .071 .191 .322 .577 .848 .971 .845 .535 .232 .063 .201 .347 .628 .907 1.000 .824 .495 .205 .056 .205 .362 .661 .940 .997 .779 .446 .177 .048 .203 .367 .676 .947 .967 .720 .395 .151 .041 .202 .371 .687 .947 .933 .667 .355 .134 .038 .199 .371 .690 .936 .893 .618 .325 .124 .037 946 -.125 3446 -4.656 10.91728 .027718 .726265 .115215 Correlation Surface at 1046 3446 .286 .344 .037 .018 .374 .253 .084 .125 .011 .157 .162 .003 .206 .670 .352 .171 .291 .023 .103 .075 .047 .467 .912 .404 .223 .410 .031 .104 .060 .062 .624 1.000 .389 .196 .384 .028 .133 .098 .029 .592 .905 .320 .119 .243 .022 .158 .181 .001 .442 .701 .235 .049 .100 .024 .145 .272 .007 .289 .488 .166 .015 .027 .037 .098 .306 .025 .178 .324 .142 .010 .008 .054 r_peak,r_snr = 9.49803E-02 5.69077 Correlation Surface of oversamples image at 1046 3446 .001 .048 .126 .314 .584 .657 .419 .180 .111 .042 .164 .287 .506 .741 .738 .468 .229 .176 .134 .326 .482 .702 .873 .789 .492 .264 .237 .248 .490 .661 .861 .962 .806 .493 .280 .280 .348 .616 .789 .960 1.000 .790 .469 .275 .298 .413 .687 .856 .998 .990 .744 .426 .252 .288 .427 .688 .848 .967 .930 .671 .369 .215 .256 .376 .605 .753 .858 .814 .569 .298 .168 .206 .283 .472 .604 .704 .671 .460 .231 .124 .154 1046 -.219 3446 -12.656 5.69077 .048058 1.390650 .105954 Correlation Surface at 1146 3446 .512 .574 .712 .899 .921 .913 .849 .642 .535 .532 .593 .707 .910 .944 .932 .857 .664 .549 .549 .611 .704 .930 .973 .929 .840 .671 .546 .556 .621 .702 .951 .997 .899 .807 .664 .528 .550 .619 .698 .961 1.000 .852 .769 .649 .501 .534 .606 .688 .952 .982 .804 .738 .630 .471 r_peak,r_snr = .5460646 2.04423 Correlation Surface of oversamples image at 1146 3446 2.584 2.926 3.380 3.804 4.000 3.943 3.853 3.882 3.877 2.651 2.975 3.381 3.774 3.970 3.911 3.817 3.860 3.863 2.734 3.029 3.379 3.743 3.945 3.891 3.797 3.844 3.839 2.804 3.060 3.351 3.687 3.900 3.857 3.764 3.804 3.781 2.862 3.072 3.304 3.617 3.844 3.818 3.724 3.747 3.696 1146 -.813 3446 9.219 2.04423 .036916 1.118903 .163451 Correlation Surface at 1246 3446 .091 .136 .178 .212 .630 .547 .307 .202 .249 .084 .120 .163 .217 .712 .576 .282 .184 .253 .074 .111 .160 .258 .828 .613 .268 .190 .291 .065 .110 .166 .329 .938 .636 .259 .213 .346 .054 .107 .172 .404 1.000 .627 .250 .245 .391 .040 .097 .168 .447 .985 .581 .237 .274 .400 .025 .077 .151 .435 .899 .505 .218 .287 .365 .013 .052 .125 .375 .775 .420 .200 .283 .304 .006 .032 .098 .300 .653 .345 .191 .269 .246 r_peak,r_snr = .2966378 5.62451 Correlation Surface of oversamples image at 1246 3446 .712 1.610 2.917 3.871 4.000 3.633 3.096 2.674 2.550 .663 1.576 2.880 3.792 3.877 3.496 2.966 2.571 2.489 .637 1.578 2.882 3.731 3.752 3.344 2.814 2.459 2.439 .644 1.634 2.944 3.711 3.648 3.194 2.653 2.337 2.390 .675 1.731 3.042 3.710 3.550 3.041 2.487 2.211 2.342 1246 .813 3446 -4.813 5.62451 .006058 .530685 .032166 Correlation Surface at 1346 3446 .494 .430 .552 .717 .748 .707 .507 .582 .632 .458 .445 .550 .674 .846 .756 .453 .518 .630 .412 .447 .518 .616 .931 .813 .429 .461 .624 .372 .446 .473 .561 .987 .876 .446 .433 .621 .356 .457 .444 .530 1.000 .935 .508 .445 .630 .369 .486 .448 .527 .963 .970 .603 .495 .650 .405 .536 .487 .546 .886 .964 .698 .564 .673 .446 .597 .549 .582 .803 .924 .758 .625 .694 .472 .647 .615 .630 .745 .865 .760 .655 .707 r_peak,r_snr = .3165537 2.10504 Correlation Surface of oversamples image at 1346 3446 .579 .528 .554 .713 .877 .838 .629 .438 .378 .540 .475 .528 .734 .930 .886 .658 .453 .379 .498 .428 .505 .752 .968 .920 .687 .476 .390 .460 .389 .490 .767 .992 .942 .717 .510 .412 .432 .366 .488 .781 1.000 .952 .748 .552 .443 .418 .358 .498 .792 .991 .947 .775 .600 .483 .414 .361 .513 .793 .960 .923 .794 .649 .529 .417 .371 .529 .784 .912 .886 .805 .697 .580 .436 .397 .556 .777 .866 .851 .818 .750 .640 1346 1.156 3446 -11.750 2.10504 .013656 1.022559 -.064789 Correlation Surface at 1546 3446 .393 .615 .753 .895 .863 .743 .641 .502 .334 .387 .604 .747 .912 .919 .779 .628 .499 .341 .384 .588 .725 .919 .966 .794 .602 .491 .343 .381 .568 .697 .916 .994 .789 .566 .474 .342 .379 .549 .676 .912 1.000 .769 .529 .450 .339 .374 .534 .671 .912 .989 .743 .495 .423 .335 .368 .530 .687 .923 .971 .719 .470 .399 .334 .363 .535 .719 .944 .958 .704 .459 .385 .337 .357 .545 .756 .969 .954 .699 .459 .383 .344 r_peak,r_snr = .5890476 3.03228 Correlation Surface of oversamples image at 1546 3446 1.886 2.253 2.717 3.224 3.632 3.712 3.332 2.680 2.160 1.899 2.296 2.785 3.297 3.688 3.738 3.333 2.663 2.124 1.924 2.355 2.869 3.387 3.756 3.772 3.337 2.640 2.074 1.996 2.467 3.012 3.535 3.880 3.854 3.376 2.639 2.038 1546 .688 3446 10.813 3.03228 .005390 .917475 .034102 Correlation Surface at 1746 3446 .002 .257 .281 .021 .009 .025 .023 .061 .221 .000 .106 .151 .061 .116 .077 .015 .084 .268 .007 .020 .096 .153 .411 .171 .026 .111 .270 .026 .001 .088 .249 .786 .272 .060 .140 .254 .035 .001 .090 .250 1.000 .318 .122 .173 .247 .019 .008 .069 .147 .951 .289 .201 .216 .256 .001 .025 .021 .039 .721 .218 .274 .272 .260 .003 .022 .004 .000 .469 .148 .325 .315 .226 .003 .000 .108 .010 .290 .104 .346 .286 .148 r_peak,r_snr = 9.80946E-02 6.76278 Correlation Surface of oversamples image at 1746 3446 1.229 1.101 1.238 1.859 2.555 2.453 2.370 .851 .863 1.254 2.140 2.839 2.500 2.158 .528 .615 1.196 2.315 2.973 2.369 1.773 .484 .626 1.448 2.879 3.469 2.499 1.628 1746 -8.625 3446 -.156 6.76278 .017486 .579164 -.023182 Correlation Surface at 1846 3446 .188 .211 .178 .429 .871 .720 .327 .289 .283 .230 .248 .233 .516 .918 .698 .301 .281 .270 .263 .301 .326 .640 .959 .671 .280 .255 .242 .279 .356 .443 .776 .988 .648 .266 .216 .207 .271 .391 .552 .881 1.000 .630 .253 .179 .173 .243 .390 .605 .914 .992 .613 .245 .159 .152 .205 .358 .585 .870 .972 .594 .243 .164 .148 .172 .312 .506 .770 .938 .573 .252 .192 .160 .154 .273 .404 .653 .894 .560 .276 .238 .184 r_peak,r_snr = .274711 3.04085 Correlation Surface of oversamples image at 1846 3446 .209 .281 .477 .750 .960 .989 .809 .549 .352 .237 .313 .509 .772 .966 .986 .806 .552 .360 .279 .361 .559 .809 .981 .986 .802 .554 .367 .329 .419 .616 .850 .997 .983 .792 .549 .368 .382 .479 .671 .882 1.000 .966 .771 .534 .361 .438 .541 .725 .909 .996 .941 .742 .512 .349 .495 .605 .782 .939 .996 .918 .712 .486 .333 .546 .662 .833 .967 .995 .895 .678 .457 .317 .581 .701 .865 .977 .982 .861 .637 .423 .297 1846 .188 3446 -5.781 3.04085 .155036 15.771655 1.477625 Correlation Surface at 1946 3446 .754 .049 .056 .004 .898 .895 .002 .063 .091 .493 .010 .092 .003 1.000 .817 .011 .018 .165 .323 .002 .117 .001 .806 .536 .018 .001 .218 .227 .000 .142 .002 .443 .250 .019 .003 .229 .184 .001 .174 .023 .145 .082 .021 .009 .190 .171 .005 .209 .076 .016 .024 .027 .013 .121 r_peak,r_snr = 9.68674E-02 6.01491 Correlation Surface of oversamples image at 1946 3446 16.000 15.893 7.892 1.657 .116 14.760 12.744 5.017 .481 .049 12.766 9.258 2.569 .007 .587 10.353 6.047 .909 .253 1.611 7.843 3.462 .112 1.082 2.935 1946 -8.781 3446 -17.813 6.01491 .015220 .484625 .023685 Correlation Surface at 2046 3446 .343 .356 .429 .566 .707 .610 .511 .386 .150 .323 .362 .399 .594 .793 .636 .560 .474 .190 .300 .355 .367 .624 .885 .662 .603 .570 .257 .270 .335 .351 .662 .964 .679 .630 .656 .347 .230 .305 .356 .705 1.000 .673 .625 .706 .451 .182 .266 .379 .743 .976 .637 .585 .706 .546 .134 .222 .404 .759 .897 .578 .520 .663 .616 .095 .181 .409 .738 .787 .511 .444 .597 .652 .073 .151 .386 .679 .678 .455 .374 .528 .652 r_peak,r_snr = .3171471 3.38861 Correlation Surface of oversamples image at 2046 3446 .353 .428 .578 .769 .887 .833 .680 .578 .586 .334 .422 .600 .817 .934 .858 .688 .586 .609 .323 .425 .627 .862 .970 .870 .686 .587 .623 .322 .439 .660 .903 .994 .868 .674 .579 .627 .328 .462 .697 .935 1.000 .850 .651 .561 .620 .340 .490 .731 .953 .985 .815 .616 .534 .601 .356 .522 .760 .955 .951 .768 .575 .502 .573 .377 .557 .787 .948 .908 .718 .536 .471 .543 .397 .591 .807 .928 .856 .665 .498 .440 .510 2046 -.156 3446 2.156 3.38861 .010417 .702025 .041436 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .464 .669 .734 .764 .573 .185 .109 .137 .087 .527 .755 .791 .843 .710 .221 .111 .123 .069 .561 .788 .791 .914 .858 .260 .112 .111 .066 .550 .742 .713 .948 .965 .280 .108 .100 .074 .506 .638 .579 .931 1.000 .272 .095 .090 .089 .455 .516 .436 .870 .959 .243 .074 .078 .104 .414 .403 .320 .775 .862 .210 .052 .064 .106 .384 .323 .250 .665 .747 .190 .037 .051 .092 .364 .286 .224 .555 .646 .191 .030 .041 .070 r_peak,r_snr = .2907417 4.84142 Correlation Surface of oversamples image at 146 3846 .611 .594 .616 .740 .869 .754 .430 .186 .096 .625 .592 .616 .761 .918 .808 .463 .201 .103 .622 .576 .606 .776 .958 .848 .487 .212 .107 .602 .548 .589 .783 .987 .874 .501 .220 .111 .565 .507 .561 .778 1.000 .883 .504 .223 .112 .510 .455 .522 .759 .993 .874 .495 .218 .109 .447 .398 .478 .729 .970 .849 .478 .210 .103 .385 .344 .436 .696 .938 .819 .460 .202 .096 .326 .295 .395 .657 .895 .780 .440 .194 .090 146 -.375 3846 .125 4.84142 .005083 .517669 -.001229 Correlation Surface at 246 3846 .070 .007 .006 .114 .660 .804 .245 .020 .004 .084 .013 .011 .160 .804 .875 .269 .035 .008 .095 .017 .016 .215 .927 .913 .282 .047 .009 .098 .017 .021 .266 .999 .911 .285 .053 .007 .089 .013 .024 .298 1.000 .865 .277 .053 .005 .071 .007 .025 .309 .941 .788 .264 .051 .004 .053 .003 .026 .304 .842 .693 .249 .050 .004 .040 .003 .030 .286 .720 .588 .232 .052 .006 .035 .004 .035 .262 .597 .484 .210 .054 .011 r_peak,r_snr = .348634 10.11258 Correlation Surface of oversamples image at 246 3846 .022 .098 .302 .618 .834 .750 .458 .191 .051 .032 .125 .355 .693 .902 .791 .479 .205 .061 .044 .154 .407 .759 .956 .819 .493 .216 .071 .056 .182 .452 .809 .989 .830 .497 .224 .079 .068 .207 .488 .841 1.000 .825 .494 .228 .086 .079 .230 .515 .855 .991 .807 .484 .229 .092 .089 .248 .531 .851 .964 .776 .466 .225 .095 .096 .258 .532 .827 .919 .733 .441 .217 .094 .101 .263 .522 .787 .860 .681 .411 .204 .090 246 .469 3846 2.219 10.11258 .004824 .522307 .028279 Correlation Surface at 346 3846 .190 .201 .385 .619 .814 .774 .497 .256 .148 .211 .219 .388 .647 .877 .757 .439 .223 .135 .231 .246 .400 .682 .939 .727 .381 .187 .110 .246 .274 .420 .715 .984 .687 .327 .152 .082 .252 .294 .439 .737 1.000 .641 .280 .123 .058 .249 .300 .452 .749 .990 .595 .241 .102 .044 .240 .290 .453 .751 .962 .554 .210 .090 .039 .232 .270 .442 .746 .927 .520 .189 .084 .040 .228 .250 .425 .738 .893 .500 .179 .084 .046 r_peak,r_snr = .4509306 3.31392 Correlation Surface of oversamples image at 346 3846 .432 .568 .747 .908 .953 .826 .597 .395 .261 .443 .584 .768 .933 .977 .840 .598 .386 .249 .451 .597 .784 .950 .992 .847 .595 .376 .236 .456 .606 .794 .959 .999 .847 .588 .365 .224 .458 .613 .801 .964 1.000 .844 .581 .356 .214 .456 .616 .803 .963 .995 .835 .572 .347 .205 .448 .612 .797 .953 .979 .818 .558 .337 .196 .436 .602 .785 .935 .955 .794 .541 .325 .188 .429 .598 .778 .921 .934 .774 .529 .319 .183 346 -.156 3846 .750 3.31392 .007754 1.309034 .076366 Correlation Surface at 446 3846 .178 .016 .320 .001 .030 .060 .029 .005 .004 .348 .000 .388 .055 .034 .002 .003 .048 .015 .589 .033 .409 .217 .312 .039 .021 .123 .022 .878 .108 .390 .460 .726 .176 .118 .190 .022 1.135 .196 .349 .692 1.000 .332 .242 .227 .027 1.262 .252 .302 .797 .982 .421 .307 .240 .059 1.205 .247 .260 .724 .737 .415 .283 .250 .146 .981 .191 .228 .531 .431 .354 .209 .264 .282 .675 .119 .202 .327 .201 .293 .130 .265 .381 r_peak,r_snr = .1000394 4.75112 Correlation Surface of oversamples image at 446 3846 2.081 1.350 1.710 2.823 2.819 1.402 .376 .247 1.478 1.020 1.599 2.894 3.025 1.735 .690 .552 .749 .546 1.210 2.531 2.810 1.837 .965 .856 .453 .407 1.230 2.701 3.136 2.418 1.686 1.581 446 -2.156 3846 .844 4.75112 .035657 .429806 -.003260 Correlation Surface at 546 3846 .044 .015 .168 .518 .549 .030 .036 .031 .036 .005 .020 .218 .562 .720 .135 .010 .021 .021 .001 .043 .262 .568 .884 .277 .000 .002 .004 .004 .094 .272 .540 .992 .361 .011 .007 .001 .001 .158 .227 .488 1.000 .346 .039 .045 .018 .002 .189 .137 .413 .880 .262 .071 .093 .058 .018 .162 .053 .328 .671 .160 .095 .123 .130 .038 .101 .009 .234 .433 .082 .099 .126 .239 .049 .051 .001 .148 .239 .044 .081 .104 .352 r_peak,r_snr = .1188691 9.41247 Correlation Surface of oversamples image at 546 3846 .436 .576 .741 .900 .752 .393 .110 .000 .099 .477 .585 .721 .899 .826 .505 .175 .001 .090 .521 .591 .702 .907 .919 .646 .263 .010 .068 .541 .568 .659 .893 .988 .768 .343 .022 .047 .511 .500 .578 .834 1.000 .827 .377 .028 .036 .447 .409 .484 .759 .973 .827 .369 .027 .027 .376 .323 .405 .696 .931 .788 .336 .023 .018 .296 .241 .331 .628 .854 .697 .275 .016 .012 .203 .159 .255 .540 .728 .552 .189 .006 .011 546 -.031 3846 -.750 9.41247 .018259 1.589532 -.001780 Correlation Surface at 646 3846 .209 .293 .494 .496 .516 .242 .230 .533 .680 .185 .281 .493 .551 .636 .310 .244 .420 .587 .173 .283 .486 .643 .795 .389 .246 .300 .448 .170 .290 .467 .753 .933 .452 .234 .193 .297 .165 .287 .434 .849 1.000 .473 .210 .110 .171 .152 .270 .401 .898 .976 .447 .180 .059 .088 .126 .244 .377 .884 .887 .393 .148 .034 .046 .094 .221 .365 .820 .780 .330 .114 .025 .030 .067 .203 .360 .738 .694 .275 .082 .024 .032 r_peak,r_snr = .2198048 4.8224 Correlation Surface of oversamples image at 646 3846 .166 .202 .259 .476 .815 .840 .510 .236 .138 .152 .185 .260 .517 .891 .905 .550 .260 .151 .138 .172 .265 .558 .954 .950 .577 .280 .162 .126 .162 .273 .595 .994 .966 .586 .292 .168 .113 .154 .281 .619 1.000 .945 .571 .289 .166 .101 .147 .287 .630 .976 .894 .539 .278 .158 .094 .147 .298 .635 .938 .834 .504 .265 .151 .089 .150 .307 .627 .884 .766 .464 .246 .140 .082 .148 .306 .598 .807 .683 .411 .216 .121 646 .719 3846 2.125 4.82240 .017302 .793837 .047270 Correlation Surface at 846 3846 .000 .000 .226 .570 .544 .289 .065 .023 .004 .003 .000 .250 .664 .659 .326 .071 .015 .004 .007 .003 .299 .769 .799 .383 .097 .011 .002 .007 .011 .360 .861 .931 .445 .148 .014 .000 .006 .022 .410 .906 1.000 .488 .215 .026 .001 .006 .027 .430 .874 .965 .486 .273 .051 .003 .007 .026 .412 .758 .815 .417 .295 .089 .015 .006 .026 .366 .586 .603 .298 .262 .128 .037 .001 .036 .308 .409 .402 .173 .186 .153 .066 r_peak,r_snr = .1991287 9.52205 Correlation Surface of oversamples image at 846 3846 .093 .290 .510 .700 .727 .551 .328 .165 .053 .102 .312 .563 .789 .829 .634 .381 .191 .061 .113 .336 .612 .869 .918 .710 .433 .219 .072 .125 .357 .652 .929 .982 .766 .475 .245 .084 .137 .373 .673 .951 1.000 .788 .497 .264 .097 .145 .377 .669 .928 .967 .769 .495 .274 .107 .153 .375 .647 .875 .903 .724 .479 .279 .120 .160 .366 .607 .797 .811 .656 .448 .278 .133 .158 .339 .537 .681 .681 .553 .390 .259 .136 846 1.844 3846 -8.594 9.52205 .022003 .743921 -.013874 Correlation Surface at 946 3846 .460 .480 .405 .465 .583 .516 .326 .142 .011 .586 .544 .380 .531 .698 .559 .296 .093 .004 .650 .539 .347 .590 .831 .638 .273 .051 .002 .639 .479 .309 .616 .944 .728 .256 .026 .003 .560 .385 .267 .601 1.000 .790 .241 .018 .008 .435 .272 .224 .557 .986 .793 .229 .024 .020 .295 .161 .185 .495 .903 .733 .227 .045 .038 .183 .080 .153 .429 .791 .649 .239 .081 .055 .113 .035 .131 .366 .693 .581 .263 .119 .065 r_peak,r_snr = .1788744 6.1561 Correlation Surface of oversamples image at 946 3846 .200 .330 .537 .719 .808 .754 .579 .352 .161 .192 .344 .577 .781 .872 .794 .585 .332 .136 .188 .359 .614 .834 .926 .826 .586 .312 .115 .190 .378 .650 .883 .973 .853 .584 .292 .099 .195 .398 .679 .915 1.000 .863 .573 .272 .086 .199 .408 .686 .916 .992 .844 .544 .246 .073 .201 .409 .673 .888 .953 .801 .503 .218 .063 .207 .411 .654 .849 .902 .751 .464 .198 .059 .214 .408 .626 .798 .838 .695 .427 .184 .059 946 .438 3846 -3.813 6.15610 .038297 2.306067 -.143008 Correlation Surface at 1046 3846 .002 .002 .168 .031 .090 .737 .671 .003 .138 .002 .000 .126 .002 .322 .943 .510 .001 .221 .003 .002 .076 .071 .629 .978 .289 .001 .302 .009 .007 .031 .208 .893 .855 .128 .008 .366 .029 .012 .004 .333 1.000 .644 .048 .036 .390 .066 .014 .001 .366 .933 .438 .024 .095 .357 .103 .010 .006 .299 .780 .291 .025 .166 .275 .115 .005 .003 .186 .632 .210 .043 .207 .178 .091 .002 .001 .095 .546 .178 .071 .190 .097 r_peak,r_snr = .1058535 5.47709 Correlation Surface of oversamples image at 1046 3846 .015 .008 .129 .378 .718 .941 .679 .205 .018 .002 .037 .223 .521 .845 .961 .610 .164 .014 .001 .080 .324 .651 .931 .930 .517 .122 .010 .011 .134 .425 .763 .979 .865 .422 .088 .009 .034 .198 .524 .855 1.000 .791 .346 .069 .012 .063 .258 .600 .912 .989 .713 .287 .060 .019 .089 .296 .635 .921 .942 .628 .238 .054 .030 .106 .312 .637 .899 .879 .549 .199 .053 .045 .119 .318 .628 .875 .829 .496 .182 .062 .070 1046 .406 3846 -4.188 5.47709 .089242 1.794535 .329784 Correlation Surface at 1146 3846 .086 .099 .262 .816 .783 .456 .376 .219 .091 .069 .091 .243 .821 .813 .485 .389 .198 .092 .061 .095 .251 .841 .882 .535 .395 .179 .094 .060 .111 .281 .863 .960 .589 .397 .168 .100 .063 .133 .315 .856 1.000 .626 .396 .169 .116 .069 .154 .329 .795 .973 .628 .388 .184 .145 .076 .165 .310 .682 .883 .597 .377 .215 .190 .085 .164 .261 .541 .758 .547 .368 .259 .250 .097 .153 .203 .406 .637 .500 .371 .310 .321 r_peak,r_snr = .2748896 3.73048 Correlation Surface of oversamples image at 1146 3846 .581 1.104 2.234 3.514 4.000 3.529 2.633 1.893 1.549 .514 1.013 2.126 3.427 3.953 3.500 2.629 1.924 1.585 .463 .937 2.019 3.326 3.903 3.486 2.638 1.956 1.610 .435 .892 1.949 3.258 3.887 3.517 2.686 2.014 1.649 .421 .866 1.893 3.192 3.870 3.554 2.739 2.066 1.675 1146 -.531 3846 -10.781 3.73048 .018092 .821027 -.049896 Correlation Surface at 1246 3846 .028 .059 .292 .641 .839 .643 .286 .110 .071 .020 .051 .289 .668 .893 .696 .306 .104 .068 .010 .038 .264 .671 .944 .740 .311 .083 .055 .003 .023 .220 .655 .982 .771 .310 .056 .035 .000 .010 .170 .625 1.000 .789 .312 .034 .018 .001 .002 .128 .591 .994 .806 .323 .021 .008 .004 .000 .100 .556 .967 .822 .339 .015 .004 .011 .004 .088 .528 .923 .830 .348 .014 .005 .018 .007 .091 .519 .874 .818 .340 .017 .009 r_peak,r_snr = .3012791 6.36227 Correlation Surface of oversamples image at 1246 3846 1.286 1.676 2.455 3.400 3.716 3.307 2.552 1.570 .657 1.222 1.673 2.507 3.478 3.833 3.480 2.741 1.693 .707 1.182 1.684 2.549 3.513 3.883 3.571 2.844 1.747 .730 1.242 1.801 2.690 3.623 3.982 3.689 2.958 1.815 .780 1246 1.469 3846 -4.219 6.36227 .022852 5.543453 -.268073 Correlation Surface at 1346 3846 .047 .189 .373 .424 .591 .762 .687 .343 .221 .038 .190 .431 .590 .776 .882 .731 .347 .191 .037 .190 .483 .739 .915 .921 .717 .342 .177 .041 .184 .513 .845 .991 .884 .663 .329 .176 .045 .169 .521 .909 1.000 .797 .589 .311 .186 .045 .150 .522 .943 .966 .690 .509 .289 .204 .039 .134 .529 .953 .919 .587 .436 .265 .230 .033 .129 .537 .929 .872 .500 .378 .246 .261 .030 .137 .536 .862 .814 .430 .341 .236 .297 r_peak,r_snr = .2995532 4.65854 Correlation Surface of oversamples image at 1346 3846 .245 .360 .518 .714 .848 .880 .868 .855 .807 .256 .386 .570 .786 .917 .932 .895 .856 .789 .266 .411 .617 .844 .968 .963 .899 .835 .755 .274 .432 .655 .885 .995 .969 .881 .796 .706 .281 .450 .683 .908 1.000 .953 .845 .743 .648 .285 .462 .699 .912 .985 .920 .796 .683 .587 .284 .466 .702 .897 .951 .872 .737 .619 .526 .282 .467 .696 .871 .908 .820 .679 .559 .471 .279 .465 .684 .838 .862 .768 .624 .504 .422 1346 -.406 3846 -6.250 4.65854 .470363 5.571925 1.559523 Correlation Surface at 1446 3846 .244 .274 .342 .583 .758 .708 .623 .524 .302 .257 .271 .339 .613 .821 .736 .667 .561 .327 .262 .270 .350 .663 .897 .780 .716 .585 .346 .258 .269 .373 .718 .965 .834 .761 .589 .350 .245 .269 .401 .759 1.000 .885 .787 .570 .336 .227 .267 .429 .771 .996 .910 .778 .533 .305 .211 .267 .451 .748 .960 .897 .736 .487 .267 .195 .263 .457 .697 .898 .849 .670 .443 .231 .176 .252 .445 .629 .820 .776 .597 .406 .204 r_peak,r_snr = .4692314 4.36751 Correlation Surface of oversamples image at 1446 3846 .657 .833 .935 .952 .935 .884 .794 .691 .592 .695 .864 .954 .969 .958 .908 .811 .694 .583 .729 .887 .964 .981 .978 .928 .820 .689 .570 .758 .902 .966 .987 .993 .940 .820 .677 .553 .780 .905 .957 .986 1.000 .942 .810 .659 .536 .794 .899 .942 .978 .999 .934 .793 .638 .520 .798 .883 .919 .964 .987 .917 .769 .615 .506 .790 .856 .888 .939 .964 .888 .738 .591 .495 .775 .823 .854 .910 .934 .855 .707 .574 .492 1446 -.594 3846 .750 4.36751 .007424 .428684 -.006319 Correlation Surface at 1546 3846 .649 .666 .720 .834 .917 .915 .914 .756 .698 .631 .682 .760 .879 .955 .963 .921 .748 .726 .619 .695 .798 .912 .984 .993 .907 .726 .729 .619 .709 .831 .929 .999 .997 .874 .698 .713 .633 .725 .861 .932 1.000 .977 .827 .673 .694 .658 .745 .885 .931 .994 .943 .777 .659 .682 .685 .773 .897 .928 .986 .904 .735 .660 .684 .711 .806 .895 .920 .976 .868 .709 .675 .696 .726 .834 .878 .902 .957 .839 .707 .699 .709 r_peak,r_snr = .5392754 1.37039 Correlation Surface of oversamples image at 1546 3846 .591 .673 .804 .917 .983 .968 .877 .756 .662 .599 .683 .811 .920 .986 .967 .870 .748 .660 .614 .697 .819 .925 .989 .965 .862 .739 .657 .639 .718 .832 .933 .995 .966 .855 .731 .656 .670 .743 .846 .940 1.000 .965 .847 .722 .655 .701 .764 .854 .941 .998 .956 .833 .709 .650 .730 .780 .857 .936 .988 .941 .815 .694 .644 .767 .803 .867 .938 .983 .930 .802 .685 .645 1546 -.344 3846 8.781 1.37039 .487176 16.396929 2.676376 Correlation Surface at 1646 3846 .547 .566 .727 .858 .921 .923 .864 .809 .746 .578 .615 .761 .883 .946 .955 .895 .810 .728 .602 .658 .772 .894 .970 .979 .909 .802 .705 .615 .684 .761 .889 .990 .991 .902 .786 .683 .620 .692 .732 .873 1.000 .987 .879 .765 .663 .625 .688 .694 .852 .998 .968 .848 .746 .647 .635 .682 .658 .825 .985 .941 .818 .732 .638 .653 .680 .631 .795 .961 .911 .797 .727 .632 .674 .686 .614 .761 .928 .883 .787 .726 .620 r_peak,r_snr = .5569144 1.72268 Correlation Surface of oversamples image at 1646 3846 .734 .795 .863 .923 .968 .975 .921 .819 .716 .722 .796 .877 .942 .983 .980 .917 .813 .715 .707 .794 .888 .958 .993 .978 .907 .804 .713 .691 .790 .896 .969 .997 .971 .894 .795 .712 .678 .787 .903 .979 1.000 .963 .883 .790 .717 .667 .783 .907 .985 1.000 .954 .873 .788 .725 .653 .773 .902 .982 .989 .937 .858 .784 .731 .640 .759 .890 .969 .972 .916 .841 .780 .737 .634 .750 .882 .961 .960 .904 .836 .787 .752 1646 .375 3846 -3.219 1.72268 .022599 2.268213 -.072066 Correlation Surface at 1746 3846 .002 .018 .011 .103 .782 .732 .468 .203 .044 .013 .015 .020 .109 .867 .717 .414 .201 .040 .019 .019 .035 .120 .939 .654 .321 .181 .026 .008 .034 .052 .133 .985 .562 .221 .146 .010 .000 .061 .064 .146 1.000 .473 .144 .109 .001 .017 .091 .063 .159 .986 .412 .102 .082 .000 .052 .108 .049 .170 .950 .396 .090 .066 .000 .075 .099 .028 .179 .901 .432 .102 .060 .000 .065 .064 .007 .180 .854 .521 .129 .058 .006 r_peak,r_snr = .164042 7.86406 Correlation Surface of oversamples image at 1746 3846 .123 .003 .157 .634 .970 .835 .412 .143 .085 .125 .002 .162 .642 .976 .819 .383 .117 .062 .122 .001 .163 .640 .973 .804 .361 .100 .046 .108 .000 .170 .646 .984 .812 .362 .098 .041 .087 .000 .180 .654 1.000 .833 .382 .108 .043 .070 .001 .178 .631 .981 .835 .397 .118 .045 .055 .002 .166 .585 .932 .820 .409 .127 .047 .030 .007 .176 .577 .935 .861 .467 .165 .064 1746 .094 3846 .813 7.86406 .033831 18.328817 .709903 Correlation Surface at 1846 3846 .408 .237 .305 .730 .870 .608 .391 .400 .406 .402 .209 .266 .716 .925 .659 .472 .483 .456 .373 .191 .243 .720 .969 .683 .521 .545 .528 .332 .186 .240 .746 .996 .679 .531 .571 .595 .291 .192 .255 .782 1.000 .658 .504 .548 .618 .268 .206 .280 .810 .989 .643 .457 .484 .578 .265 .216 .299 .809 .970 .640 .403 .393 .483 .268 .215 .295 .763 .945 .641 .349 .301 .363 .270 .208 .275 .691 .928 .640 .303 .228 .257 r_peak,r_snr = .2893918 3.26156 Correlation Surface of oversamples image at 1846 3846 .986 1.929 2.978 3.534 3.462 3.056 2.625 2.320 2.097 .966 1.900 2.962 3.583 3.597 3.213 2.713 2.289 1.940 .902 1.807 2.870 3.562 3.673 3.315 2.752 2.223 1.771 .886 1.781 2.864 3.640 3.852 3.512 2.880 2.250 1.707 1846 -.031 3846 4.813 3.26156 .055135 17.915472 .880862 Correlation Surface at 1946 3846 .025 .004 .014 .001 .101 .301 .171 .048 .125 .015 .006 .002 .042 .311 .461 .117 .011 .079 .009 .009 .001 .142 .612 .578 .069 .000 .042 .011 .015 .009 .244 .878 .601 .032 .002 .016 .025 .025 .019 .289 1.000 .541 .012 .005 .004 .051 .034 .024 .266 .966 .442 .003 .005 .001 .078 .034 .023 .215 .843 .342 .001 .002 .001 .085 .020 .018 .174 .704 .264 .001 .000 .004 .062 .004 .015 .160 .579 .220 .003 .003 .018 r_peak,r_snr = .1636386 9.05205 Correlation Surface of oversamples image at 1946 3846 .014 .067 .205 .418 .637 .716 .514 .221 .057 .022 .098 .272 .527 .780 .821 .535 .206 .047 .030 .126 .328 .617 .892 .889 .532 .184 .038 .035 .145 .365 .679 .969 .922 .513 .163 .031 .038 .153 .379 .706 1.000 .917 .481 .142 .026 .037 .148 .364 .691 .979 .870 .432 .118 .021 .034 .133 .330 .643 .917 .794 .376 .095 .016 .030 .115 .292 .590 .847 .719 .331 .081 .014 .027 .097 .255 .538 .775 .650 .295 .073 .014 1946 1.156 3846 -9.969 9.05205 .010809 .543031 .027220 Correlation Surface at 2046 3846 .002 .003 .002 .201 .652 .748 .353 .067 .089 .002 .002 .000 .193 .789 .776 .320 .046 .068 .025 .000 .000 .192 .907 .751 .250 .023 .040 .067 .002 .000 .197 .983 .681 .158 .005 .017 .101 .012 .003 .207 1.000 .587 .075 .000 .003 .113 .028 .010 .218 .961 .493 .023 .003 .000 .105 .041 .020 .230 .891 .411 .002 .008 .001 .091 .042 .028 .248 .812 .341 .001 .010 .001 .083 .035 .034 .279 .745 .284 .004 .008 .000 r_peak,r_snr = .2218268 7.80494 Correlation Surface of oversamples image at 2046 3846 .001 .031 .213 .536 .829 .863 .624 .319 .098 .000 .035 .229 .587 .908 .910 .615 .285 .072 .000 .038 .238 .625 .968 .939 .596 .248 .048 .000 .038 .239 .643 .998 .940 .564 .207 .026 .000 .036 .233 .643 1.000 .920 .525 .169 .011 .001 .034 .222 .625 .974 .879 .480 .133 .002 .001 .031 .206 .590 .920 .820 .429 .098 .000 .002 .029 .190 .548 .855 .757 .382 .070 .005 .002 .028 .177 .504 .786 .695 .338 .047 .014 2046 .188 3846 1.656 7.80494 .009877 2.213147 .107289 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .034 .096 .205 .573 .747 .493 .275 .124 .140 .067 .154 .241 .628 .817 .529 .309 .153 .163 .107 .232 .306 .709 .900 .574 .368 .189 .174 .133 .313 .395 .804 .970 .617 .445 .221 .173 .135 .373 .501 .887 1.000 .649 .522 .242 .165 .118 .399 .606 .931 .975 .664 .569 .240 .148 .096 .394 .684 .916 .899 .661 .570 .214 .121 .080 .372 .707 .839 .792 .647 .534 .175 .086 .075 .340 .666 .719 .681 .637 .486 .136 .052 r_peak,r_snr = .2343853 5.86096 Correlation Surface of oversamples image at 146 4246 .414 .433 .511 .681 .847 .886 .781 .653 .577 .478 .504 .577 .739 .893 .915 .802 .683 .624 .546 .582 .649 .798 .933 .941 .828 .720 .673 .622 .671 .732 .862 .974 .969 .863 .770 .730 .692 .757 .812 .917 1.000 .986 .895 .821 .781 .739 .819 .866 .942 .993 .974 .909 .858 .813 .771 .864 .900 .943 .965 .946 .915 .892 .836 .817 .922 .943 .953 .946 .934 .943 .949 .878 146 -.281 4246 .813 5.86096 .029887 1.767631 .075010 Correlation Surface at 246 4246 .070 .383 .777 .804 .604 .512 .305 .235 .159 .057 .374 .882 .930 .739 .670 .403 .301 .234 .042 .345 .922 .999 .871 .821 .504 .371 .313 .027 .304 .893 .996 .967 .917 .579 .422 .374 .015 .258 .808 .940 1.000 .924 .597 .430 .393 .009 .214 .690 .851 .957 .839 .552 .384 .376 .007 .172 .558 .747 .852 .692 .472 .309 .348 .009 .132 .432 .646 .715 .536 .390 .247 .340 .018 .097 .324 .562 .578 .408 .336 .228 .370 r_peak,r_snr = .2069642 4.1977 Correlation Surface of oversamples image at 246 4246 .918 .948 .914 .885 .849 .746 .590 .452 .373 .894 .943 .934 .932 .913 .809 .639 .486 .403 .858 .927 .944 .966 .962 .856 .673 .510 .422 .814 .898 .941 .984 .991 .883 .691 .521 .429 .760 .859 .923 .984 1.000 .890 .693 .520 .424 .700 .810 .891 .964 .984 .873 .675 .501 .401 .636 .752 .846 .925 .944 .831 .637 .465 .361 .579 .701 .804 .883 .894 .778 .591 .425 .320 .527 .654 .762 .834 .833 .714 .538 .382 .280 246 1.344 4246 1.938 4.19770 .439194 1.367843 -.250566 Correlation Surface at 346 4246 .088 .256 .351 .496 .819 .714 .373 .146 .105 .083 .246 .319 .508 .888 .772 .366 .135 .109 .088 .244 .303 .532 .943 .828 .370 .135 .110 .100 .248 .306 .565 .981 .871 .380 .142 .107 .117 .249 .325 .601 1.000 .887 .389 .153 .098 .133 .246 .351 .628 .992 .869 .390 .163 .088 .142 .237 .377 .636 .955 .827 .387 .175 .081 .138 .225 .396 .624 .896 .772 .384 .188 .079 .124 .218 .409 .600 .826 .715 .386 .199 .079 r_peak,r_snr = .3619647 4.91783 Correlation Surface of oversamples image at 346 4246 .186 .258 .437 .707 .915 .931 .789 .596 .399 .183 .263 .457 .740 .953 .965 .814 .605 .391 .187 .274 .478 .767 .979 .986 .830 .610 .382 .197 .291 .501 .789 .993 .997 .839 .610 .372 .211 .312 .527 .807 1.000 1.000 .843 .607 .363 .229 .338 .553 .821 1.000 .997 .843 .603 .354 .252 .367 .579 .830 .995 .991 .839 .598 .349 .277 .399 .605 .836 .985 .980 .832 .592 .345 .302 .429 .625 .836 .969 .963 .820 .583 .341 346 .250 4246 1.219 4.91783 .011187 2.301715 .088720 Correlation Surface at 446 4246 .043 .065 .053 .208 .571 .581 .359 .104 .025 .051 .055 .050 .252 .726 .650 .380 .103 .030 .051 .037 .053 .317 .866 .699 .371 .089 .034 .047 .020 .058 .394 .961 .722 .338 .071 .037 .040 .007 .066 .474 1.000 .713 .295 .055 .039 .033 .002 .077 .542 .987 .677 .257 .047 .040 .029 .001 .096 .585 .934 .633 .232 .044 .039 .029 .002 .123 .591 .852 .596 .226 .049 .037 .032 .009 .149 .547 .754 .574 .237 .059 .033 r_peak,r_snr = .2333302 8.14637 Correlation Surface of oversamples image at 446 4246 .117 .288 .574 .812 .867 .826 .756 .669 .569 .120 .322 .633 .874 .922 .865 .772 .663 .550 .118 .345 .673 .914 .956 .889 .779 .654 .532 .116 .363 .701 .940 .983 .911 .788 .651 .525 .115 .376 .714 .950 1.000 .931 .801 .657 .530 .107 .370 .694 .920 .982 .925 .797 .654 .531 .097 .347 .645 .855 .930 .893 .775 .641 .527 .102 .347 .620 .819 .911 .899 .795 .670 .565 446 -.094 4246 2.813 8.14637 .023333 2.416392 .183196 Correlation Surface at 646 4246 .005 .003 .048 .192 .753 .449 .055 .005 .003 .019 .017 .073 .273 .865 .457 .048 .003 .005 .047 .038 .097 .391 .948 .423 .040 .003 .010 .083 .057 .119 .533 .993 .358 .037 .007 .019 .118 .070 .137 .669 1.000 .295 .045 .021 .033 .148 .077 .153 .763 .978 .254 .070 .049 .051 .167 .081 .164 .788 .938 .245 .114 .087 .069 .175 .083 .167 .747 .898 .275 .170 .118 .081 .178 .085 .157 .660 .872 .346 .220 .124 .086 r_peak,r_snr = .225128 5.8794 Correlation Surface of oversamples image at 646 4246 .139 .204 .344 .595 .881 .972 .769 .435 .178 .145 .223 .389 .660 .929 .971 .733 .403 .169 .148 .238 .430 .720 .970 .963 .695 .375 .168 .146 .248 .462 .766 .994 .944 .655 .352 .172 .142 .254 .486 .796 1.000 .915 .615 .335 .184 .140 .260 .506 .815 .996 .884 .583 .330 .206 .138 .264 .515 .817 .974 .845 .556 .334 .236 .131 .257 .504 .789 .924 .791 .526 .340 .269 .122 .244 .477 .738 .856 .731 .501 .352 .304 646 -.375 4246 -2.219 5.87940 .174465 18.885298 1.782937 Correlation Surface at 746 4246 .261 .363 .298 .664 .735 .218 .013 .017 .071 .257 .357 .345 .742 .808 .270 .018 .016 .063 .210 .334 .396 .814 .890 .342 .031 .015 .048 .131 .293 .439 .874 .964 .410 .052 .017 .029 .053 .242 .467 .915 1.000 .450 .080 .024 .013 .008 .192 .477 .934 .996 .458 .115 .039 .003 r_peak,r_snr = .2037683 6.43232 Correlation Surface of oversamples image at 746 4246 .903 .927 1.606 2.901 4.000 3.838 2.436 .985 .273 .874 .950 1.639 2.859 3.893 3.775 2.431 .982 .257 .843 .982 1.683 2.823 3.778 3.687 2.405 .975 .243 .836 1.049 1.770 2.837 3.717 3.643 2.423 1.011 .259 .832 1.124 1.869 2.863 3.667 3.598 2.444 1.063 .291 746 -.281 4246 9.188 6.43232 .018587 4.506868 -.015446 Correlation Surface at 846 4246 .159 .059 .088 .482 .791 .543 .184 .101 .077 .137 .051 .095 .505 .877 .652 .217 .109 .073 .115 .047 .106 .515 .953 .738 .211 .090 .054 .100 .047 .124 .512 .997 .775 .178 .059 .031 .090 .050 .146 .501 1.000 .765 .144 .032 .014 .083 .055 .168 .484 .957 .719 .123 .017 .005 .076 .060 .180 .461 .875 .653 .125 .014 .002 .067 .063 .179 .435 .776 .592 .154 .021 .003 .057 .061 .165 .407 .686 .550 .206 .036 .006 r_peak,r_snr = .3156895 8.17678 Correlation Surface of oversamples image at 846 4246 .124 .265 .498 .753 .909 .861 .624 .332 .130 .129 .271 .505 .771 .950 .913 .658 .338 .123 .133 .278 .511 .785 .982 .952 .680 .338 .115 .137 .282 .514 .792 .999 .972 .686 .331 .107 .142 .286 .513 .789 1.000 .971 .677 .320 .101 .147 .291 .513 .784 .992 .955 .658 .310 .099 .152 .296 .512 .776 .974 .928 .634 .302 .100 .153 .293 .501 .753 .935 .880 .599 .293 .104 .150 .284 .482 .715 .877 .817 .560 .287 .113 846 .219 4246 7.813 8.17678 .005899 1.127494 .008934 Correlation Surface at 946 4246 .022 .013 .011 .000 .292 .412 .008 .040 .216 .011 .004 .009 .017 .438 .465 .025 .045 .360 .002 .001 .000 .131 .661 .579 .068 .056 .531 .001 .000 .020 .375 .893 .711 .127 .080 .691 .011 .001 .079 .631 1.000 .799 .172 .118 .791 .027 .004 .128 .698 .877 .788 .186 .158 .799 .042 .010 .114 .503 .568 .685 .173 .173 .711 .049 .021 .050 .214 .260 .559 .160 .141 .545 .046 .036 .002 .031 .086 .466 .167 .076 .341 r_peak,r_snr = .1442441 7.96252 Correlation Surface of oversamples image at 946 4246 .001 .050 .282 .596 .771 .677 .364 .080 .002 .007 .126 .412 .713 .849 .740 .422 .109 .000 .037 .228 .547 .818 .916 .802 .483 .140 .000 .089 .344 .672 .902 .971 .863 .546 .173 .001 .147 .444 .756 .944 1.000 .911 .601 .203 .002 .192 .495 .769 .921 .985 .929 .634 .220 .003 .210 .487 .710 .841 .932 .919 .646 .225 .002 .204 .433 .605 .731 .864 .898 .648 .227 .002 .173 .340 .467 .599 .776 .861 .639 .225 .002 946 -.469 4246 2.094 7.96252 .066386 .376065 .071619 Correlation Surface at 1046 4246 .091 .074 .060 .114 .264 .221 .022 .018 .030 .069 .123 .127 .254 .418 .252 .012 .040 .035 .046 .139 .185 .455 .640 .289 .006 .053 .035 .029 .123 .218 .672 .863 .311 .004 .046 .029 .018 .092 .234 .843 1.000 .305 .005 .026 .017 .013 .065 .245 .924 .993 .277 .009 .009 .005 .012 .054 .276 .910 .871 .237 .021 .001 .000 .015 .064 .359 .854 .702 .193 .043 .001 .014 r_peak,r_snr = .1321496 7.92779 Correlation Surface of oversamples image at 1046 4246 .047 .088 .225 .479 .653 .553 .310 .099 .008 .041 .110 .302 .611 .789 .637 .334 .103 .010 .039 .139 .391 .745 .913 .707 .357 .112 .016 .038 .168 .472 .852 .993 .742 .368 .121 .025 .035 .188 .525 .899 1.000 .724 .354 .123 .033 .034 .206 .558 .902 .955 .672 .327 .124 .043 .043 .235 .592 .890 .896 .618 .309 .133 .061 .057 .267 .606 .844 .809 .550 .286 .143 .083 .070 .281 .577 .742 .675 .448 .241 .138 .094 1046 -.125 4246 11.344 7.92779 .034108 1.103231 .101548 Correlation Surface at 1246 4246 .067 .204 .450 .681 .746 .685 .476 .280 .163 .064 .217 .501 .752 .840 .746 .501 .299 .170 .066 .233 .532 .792 .922 .803 .534 .326 .175 .072 .245 .531 .794 .977 .851 .574 .359 .179 .080 .251 .504 .767 1.000 .885 .615 .393 .180 .089 .250 .464 .729 .995 .901 .650 .421 .181 .096 .243 .428 .695 .968 .897 .674 .441 .185 .099 .231 .403 .669 .924 .875 .690 .452 .194 .097 .218 .392 .651 .869 .845 .704 .459 .208 r_peak,r_snr = .5164801 4.63528 Correlation Surface of oversamples image at 1246 4246 .693 .790 .865 .916 .911 .833 .722 .625 .548 .684 .790 .884 .950 .949 .865 .749 .654 .582 .670 .785 .897 .977 .980 .892 .773 .683 .617 .650 .774 .902 .993 .998 .909 .790 .707 .649 .623 .756 .896 .994 1.000 .911 .796 .722 .673 .596 .736 .883 .983 .989 .900 .792 .730 .688 .577 .721 .870 .969 .973 .886 .785 .734 .698 .562 .708 .855 .948 .948 .864 .773 .731 .699 .546 .691 .830 .913 .909 .831 .750 .718 .688 1246 .281 4246 -2.719 4.63528 .011828 .702320 -.065803 Correlation Surface at 1346 4246 .420 .546 .934 .743 .662 .764 .488 .329 .421 .332 .518 .947 .803 .747 .759 .473 .340 .394 .268 .498 .921 .873 .854 .754 .482 .410 .440 .244 .497 .870 .926 .954 .748 .518 .541 .562 .258 .514 .796 .926 1.000 .729 .571 .711 .735 .297 .538 .710 .869 .971 .695 .619 .865 .901 .340 .547 .624 .777 .880 .645 .635 .933 .992 .362 .521 .540 .676 .770 .584 .603 .882 .974 .355 .464 .470 .602 .688 .532 .534 .737 .863 r_peak,r_snr = .3025729 2.59326 Correlation Surface of oversamples image at 1346 4246 .350 .472 .687 .875 .923 .842 .747 .734 .808 .331 .468 .701 .900 .952 .874 .779 .762 .822 .316 .466 .713 .920 .981 .914 .824 .800 .840 .305 .465 .720 .928 .998 .951 .873 .841 .856 .299 .465 .719 .921 1.000 .979 .919 .881 .868 .297 .467 .711 .900 .988 .997 .958 .915 .874 .301 .471 .698 .868 .961 .999 .984 .936 .872 .312 .478 .680 .825 .919 .982 .990 .943 .862 .327 .487 .657 .774 .863 .946 .978 .935 .842 1346 -.281 4246 -6.750 2.59326 .025269 .478359 .000915 Correlation Surface at 1446 4246 .345 .481 .645 .668 .829 .786 .651 .466 .525 .359 .467 .616 .713 .911 .785 .660 .505 .554 .370 .442 .595 .768 .969 .773 .683 .554 .570 .376 .416 .583 .818 .996 .762 .714 .592 .559 .375 .399 .583 .848 1.000 .758 .745 .606 .521 r_peak,r_snr = .3863314 2.47351 Correlation Surface of oversamples image at 1446 4246 3.285 3.641 3.803 3.726 3.633 3.599 3.480 3.197 2.686 3.251 3.642 3.818 3.769 3.729 3.707 3.537 3.187 2.614 3.212 3.635 3.815 3.783 3.791 3.772 3.552 3.146 2.534 3.262 3.718 3.892 3.868 3.910 3.886 3.619 3.172 2.539 1446 3.000 4246 17.813 2.47351 .014002 4.225349 .116826 Correlation Surface at 1546 4246 .237 .172 .310 .531 .722 .514 .383 .436 .329 .215 .190 .360 .599 .843 .626 .456 .505 .335 .200 .218 .420 .670 .938 .712 .483 .521 .302 .189 .247 .481 .738 .993 .753 .463 .474 .236 .184 .270 .536 .797 1.000 .750 .421 .391 .165 .190 .288 .583 .842 .963 .715 .383 .311 .112 .208 .303 .620 .867 .900 .669 .365 .254 .082 .234 .313 .642 .864 .823 .623 .367 .224 .075 .262 .318 .640 .825 .744 .578 .376 .213 .087 r_peak,r_snr = .3199615 4.2424 Correlation Surface of oversamples image at 1546 4246 .304 .467 .609 .726 .829 .831 .664 .437 .290 .328 .499 .655 .787 .890 .883 .704 .460 .299 .350 .526 .695 .836 .935 .919 .736 .483 .309 .373 .555 .734 .881 .973 .952 .770 .512 .325 .393 .581 .766 .915 1.000 .978 .805 .544 .345 .400 .588 .773 .917 .996 .979 .821 .564 .357 .394 .576 .752 .887 .961 .954 .816 .569 .360 .400 .577 .745 .873 .948 .953 .834 .592 .378 1546 -.313 4246 4.813 4.24240 .025305 1.424856 .128494 Correlation Surface at 1646 4246 .193 .252 .448 .747 .915 .813 .692 .626 .503 .190 .257 .467 .769 .948 .845 .704 .620 .498 .185 .271 .492 .781 .978 .880 .709 .615 .498 .181 .291 .517 .778 .996 .909 .704 .613 .502 .177 .314 .539 .762 1.000 .927 .693 .613 .507 .174 .335 .556 .739 .989 .931 .684 .614 .507 .170 .351 .570 .716 .967 .927 .682 .618 .500 .166 .359 .584 .701 .944 .924 .695 .626 .486 .162 .363 .596 .699 .926 .928 .725 .638 .468 r_peak,r_snr = .6094051 3.53714 Correlation Surface of oversamples image at 1646 4246 .555 .663 .792 .927 .987 .926 .797 .671 .577 .557 .652 .776 .919 .995 .944 .816 .685 .588 .561 .643 .761 .909 .997 .956 .832 .698 .598 .565 .638 .750 .899 .997 .966 .846 .710 .607 .574 .640 .746 .896 1.000 .978 .863 .725 .619 1646 -.313 4246 3.781 3.53714 .006622 1.024666 -.054189 Correlation Surface at 1746 4246 .204 .383 .377 .591 .891 .569 .253 .188 .102 .214 .365 .369 .620 .916 .591 .308 .232 .103 .226 .344 .372 .673 .955 .626 .375 .274 .104 .227 .317 .384 .739 .989 .665 .440 .303 .107 .210 .283 .402 .798 1.000 .696 .487 .314 .112 .175 .246 .417 .834 .988 .716 .502 .306 .118 .135 .212 .421 .837 .961 .730 .483 .281 .122 .100 .183 .407 .803 .931 .743 .443 .250 .125 r_peak,r_snr = .3630149 4.65938 Correlation Surface of oversamples image at 1746 4246 .343 .431 .573 .777 .945 .939 .774 .594 .463 .334 .435 .593 .805 .970 .955 .789 .615 .489 .326 .439 .611 .830 .988 .965 .801 .633 .508 .318 .442 .626 .848 .999 .968 .808 .645 .519 .308 .442 .635 .859 1.000 .964 .809 .651 .523 .296 .439 .639 .861 .993 .954 .806 .652 .520 .285 .434 .638 .857 .981 .942 .803 .653 .515 .272 .426 .633 .847 .965 .929 .800 .652 .507 .256 .412 .618 .827 .941 .911 .794 .647 .494 1746 -.344 4246 11.188 4.65938 .009608 2.944414 .064031 Correlation Surface at 1946 4246 .381 .172 .335 .584 .626 .405 .140 .147 .182 .258 .129 .393 .679 .714 .468 .144 .121 .148 .163 .109 .482 .790 .821 .545 .144 .102 .126 .116 .119 .583 .889 .928 .608 .136 .088 .106 .109 .159 .649 .932 1.000 .623 .120 .076 .085 .140 .222 .646 .881 .990 .571 .101 .068 .068 .203 .284 .567 .738 .863 .448 .086 .064 .058 .280 .310 .444 .542 .632 .293 .079 .063 .058 .336 .290 .321 .352 .375 .164 .080 .064 .064 r_peak,r_snr = .1960389 4.46881 Correlation Surface of oversamples image at 1946 4246 .349 .551 .648 .714 .802 .836 .660 .338 .116 .377 .608 .718 .782 .869 .894 .685 .328 .099 .402 .653 .776 .843 .926 .937 .692 .307 .080 .427 .693 .827 .897 .975 .966 .684 .281 .064 .448 .718 .859 .930 1.000 .968 .655 .248 .049 .453 .716 .857 .928 .985 .929 .598 .208 .035 .450 .696 .829 .894 .936 .855 .522 .166 .024 .452 .676 .794 .849 .872 .768 .446 .133 .017 .457 .648 .743 .780 .784 .666 .369 .105 .014 1946 2.188 4246 .969 4.46881 .043013 1.247100 .029481 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .000 .071 .373 .613 .656 .229 .002 .004 .018 .000 .084 .472 .750 .787 .289 .009 .001 .001 .001 .089 .527 .827 .906 .348 .024 .017 .004 .002 .084 .520 .825 .986 .379 .038 .039 .020 .003 .074 .468 .765 1.000 .361 .037 .048 .034 .004 .065 .396 .677 .939 .301 .022 .039 .039 .005 .059 .329 .585 .823 .225 .008 .022 .036 .005 .056 .276 .499 .686 .162 .002 .010 .028 .005 .051 .232 .423 .558 .127 .000 .003 .019 r_peak,r_snr = .2354985 10.56619 Correlation Surface of oversamples image at 146 4646 .443 .674 .837 .898 .863 .665 .368 .170 .087 .442 .674 .845 .928 .916 .716 .397 .186 .099 .431 .660 .839 .947 .959 .756 .419 .197 .108 .412 .635 .821 .954 .988 .781 .429 .200 .111 .388 .602 .794 .951 1.000 .786 .425 .194 .108 .360 .564 .760 .934 .991 .769 .404 .179 .098 .331 .523 .720 .901 .956 .727 .367 .155 .082 .301 .480 .672 .850 .894 .661 .318 .125 .063 .275 .440 .622 .788 .816 .582 .263 .095 .045 146 -.125 4646 -.719 10.56620 .007780 .924488 -.008648 Correlation Surface at 246 4646 .062 .186 .111 .016 .330 .688 .145 .003 .000 .078 .246 .077 .073 .544 .827 .136 .000 .008 .103 .277 .025 .198 .793 .918 .125 .006 .037 .135 .277 .001 .349 .974 .931 .114 .015 .083 .179 .265 .005 .424 1.000 .864 .105 .020 .124 .244 .263 .011 .383 .885 .741 .098 .021 .132 .336 .281 .006 .271 .703 .600 .093 .018 .099 .442 .313 .000 .155 .510 .470 .091 .014 .052 .537 .336 .004 .071 .347 .367 .093 .011 .018 r_peak,r_snr = .1649685 8.76855 Correlation Surface of oversamples image at 246 4646 .025 .160 .330 .568 .856 .896 .503 .130 .017 .044 .207 .391 .634 .902 .885 .463 .112 .015 .062 .247 .447 .698 .943 .865 .423 .097 .015 .076 .278 .495 .759 .979 .840 .388 .088 .015 .081 .292 .528 .809 1.000 .805 .353 .080 .017 .074 .283 .538 .834 .992 .750 .314 .072 .018 .059 .257 .528 .837 .961 .688 .278 .067 .020 .044 .227 .510 .829 .922 .630 .254 .068 .025 .029 .192 .481 .802 .866 .571 .233 .072 .031 246 -.469 4646 -7.938 8.76855 .029304 .691155 .063082 Correlation Surface at 346 4646 .156 .381 .574 .829 .694 .417 .324 .392 .298 .181 .405 .585 .836 .787 .542 .344 .356 .242 .216 .415 .556 .787 .892 .651 .337 .317 .187 .261 .408 .496 .701 .974 .700 .315 .293 .153 .316 .396 .430 .613 1.000 .682 .302 .294 .148 .381 .386 .378 .549 .964 .630 .307 .322 .175 .445 .372 .346 .509 .884 .584 .336 .373 .233 .485 .347 .328 .490 .797 .564 .384 .433 .310 .478 .306 .314 .488 .735 .573 .443 .485 .379 r_peak,r_snr = .3286064 3.78853 Correlation Surface of oversamples image at 346 4646 1.646 2.786 4.273 5.386 2.575 4.354 6.163 7.365 3.610 5.970 8.001 9.349 5.239 8.199 10.458 12.082 346 3.813 4646 11.844 3.78853 .006647 .576042 -.021030 Correlation Surface at 446 4646 .021 .001 .008 .251 .543 .655 .274 .026 .015 .022 .006 .022 .279 .632 .725 .288 .010 .044 .027 .026 .057 .337 .767 .752 .281 .002 .070 .045 .081 .116 .409 .913 .725 .266 .000 .077 .085 .172 .180 .463 1.000 .658 .257 .000 .062 r_peak,r_snr = .18319 8.6296 Correlation Surface of oversamples image at 446 4646 .003 .049 .251 .501 .671 .671 .473 .203 .012 .000 .069 .311 .606 .778 .742 .516 .229 .017 .002 .092 .374 .709 .870 .793 .544 .249 .022 .006 .116 .437 .806 .951 .835 .568 .268 .029 .012 .134 .487 .877 1.000 .856 .581 .279 .034 .015 .143 .510 .898 .995 .836 .566 .276 .037 .015 .143 .509 .877 .946 .783 .528 .258 .036 .014 .141 .499 .837 .882 .722 .487 .239 .036 .012 .134 .473 .771 .795 .645 .436 .215 .033 446 .406 4646 14.250 8.62960 .019579 1.082288 .080253 Correlation Surface at 546 4646 .080 .018 .115 .463 .288 .001 .007 .032 .002 .078 .021 .082 .398 .444 .032 .016 .026 .011 .095 .022 .066 .376 .659 .098 .015 .013 .022 .130 .026 .060 .398 .878 .156 .005 .003 .033 .180 .038 .063 .462 1.000 .147 .000 .000 .047 .229 .057 .075 .549 .945 .079 .006 .001 .063 .250 .078 .094 .606 .719 .015 .017 .001 .071 .215 .082 .118 .586 .436 .001 .023 .000 .057 .133 .065 .143 .490 .214 .016 .018 .000 .025 r_peak,r_snr = .1353118 10.33059 Correlation Surface of oversamples image at 546 4646 .125 .269 .566 .875 .813 .370 .054 .000 .000 .107 .233 .537 .907 .899 .433 .069 .000 .001 .090 .203 .514 .930 .962 .475 .075 .000 .003 .075 .181 .496 .943 .996 .488 .068 .002 .009 .061 .165 .486 .947 1.000 .475 .054 .007 .019 .049 .155 .482 .941 .972 .437 .036 .017 .031 .036 .146 .477 .914 .907 .374 .018 .033 .046 .023 .137 .468 .864 .810 .296 .004 .056 .065 .017 .138 .466 .813 .710 .227 .000 .079 .080 546 -10.219 4646 4.250 10.33060 .011930 .693555 .045097 Correlation Surface at 646 4646 .047 .059 .272 .484 .308 .068 .031 .001 .012 .067 .062 .238 .606 .514 .139 .020 .008 .021 .096 .073 .203 .697 .747 .236 .013 .016 .028 .126 .098 .189 .761 .943 .322 .006 .025 .033 .149 .138 .196 .770 1.000 .342 .000 .041 .035 .147 .173 .206 .680 .853 .262 .008 .073 .035 .115 .180 .194 .484 .544 .134 .044 .120 .032 .065 .145 .148 .241 .215 .034 .106 .164 .025 .021 .086 .085 .061 .026 .000 .164 .179 .017 r_peak,r_snr = .1596624 11.08161 Correlation Surface of oversamples image at 646 4646 .233 .416 .633 .741 .642 .401 .180 .064 .014 .201 .387 .634 .805 .760 .506 .225 .066 .007 .170 .354 .627 .858 .868 .604 .266 .065 .002 .144 .325 .618 .899 .953 .681 .294 .059 .000 .124 .298 .600 .915 1.000 .722 .301 .050 .002 .107 .268 .563 .890 .991 .715 .285 .036 .008 .092 .236 .508 .823 .925 .660 .247 .022 .020 .083 .207 .446 .730 .819 .572 .199 .010 .034 .077 .179 .376 .611 .679 .461 .146 .003 .050 646 -.125 4646 1.125 11.08162 .016471 .328747 .001578 Correlation Surface at 746 4646 .009 .083 .124 .168 .569 .460 .167 .143 .083 .008 .101 .106 .164 .707 .577 .185 .147 .080 .007 .114 .090 .171 .852 .675 .199 .147 .070 .008 .120 .078 .185 .962 .720 .210 .143 .054 .013 .122 .075 .204 1.000 .703 .216 .137 .033 .024 .128 .079 .224 .955 .637 .220 .129 .016 .047 .143 .086 .237 .852 .557 .222 .118 .006 .081 .166 .094 .238 .727 .487 .224 .107 .003 .123 .194 .099 .224 .610 .438 .223 .095 .003 r_peak,r_snr = .2911142 10.13439 Correlation Surface of oversamples image at 746 4646 .061 .132 .364 .706 .825 .607 .335 .194 .150 .055 .132 .390 .766 .888 .643 .346 .194 .146 .051 .135 .417 .824 .943 .673 .357 .197 .146 .048 .140 .443 .870 .983 .692 .364 .201 .148 .047 .145 .464 .900 1.000 .695 .366 .205 .152 .046 .150 .480 .915 .998 .686 .364 .210 .158 .047 .156 .490 .911 .974 .665 .358 .215 .166 .049 .161 .491 .888 .930 .631 .348 .220 .173 .052 .167 .488 .852 .876 .595 .339 .226 .182 746 .344 4646 -.188 10.13439 .003667 .459184 .015973 Correlation Surface at 846 4646 .070 .291 .432 .510 .684 .759 .679 .564 .358 .079 .323 .418 .492 .770 .821 .661 .543 .357 .111 .377 .426 .507 .869 .840 .602 .477 .314 .167 .434 .437 .542 .959 .811 .523 .396 .252 .238 .469 .430 .579 1.000 .745 .451 .329 .195 .304 .462 .398 .600 .964 .668 .409 .297 .160 .340 .409 .340 .588 .857 .607 .416 .308 .148 .333 .329 .272 .539 .715 .575 .482 .363 .159 .285 .251 .209 .461 .574 .576 .602 .453 .192 r_peak,r_snr = .2499145 4.59112 Correlation Surface of oversamples image at 846 4646 .494 .499 .549 .687 .828 .810 .669 .539 .469 .510 .509 .574 .741 .894 .850 .669 .509 .428 .514 .509 .594 .788 .945 .872 .656 .473 .384 .503 .501 .608 .825 .980 .878 .635 .437 .342 .484 .489 .618 .855 1.000 .873 .613 .406 .311 .453 .471 .622 .869 .999 .854 .589 .381 .288 .408 .441 .607 .854 .962 .810 .555 .357 .270 .353 .403 .579 .813 .898 .751 .520 .340 .262 .305 .371 .553 .769 .833 .698 .497 .339 .271 846 -1.000 4646 -4.219 4.59112 .018402 .862060 .076418 Correlation Surface at 1146 4646 .063 .123 .205 .488 .750 .251 .018 .005 .040 .057 .129 .273 .609 .844 .283 .025 .012 .054 .057 .145 .348 .714 .924 .310 .035 .025 .066 .063 .168 .407 .799 .982 .320 .045 .042 .072 .078 .188 .444 .859 1.000 .306 .054 .063 .074 .096 .197 .465 .892 .960 .273 .060 .084 .071 .112 .193 .479 .900 .873 .233 .068 .103 .063 .117 .177 .493 .886 .762 .199 .080 .116 .053 .105 .156 .510 .849 .652 .177 .096 .124 .043 r_peak,r_snr = .2691501 6.92367 Correlation Surface of oversamples image at 1146 4646 .142 .247 .424 .687 .915 .896 .578 .201 .020 .157 .272 .457 .726 .955 .925 .591 .207 .024 .173 .295 .485 .756 .981 .942 .598 .212 .029 .188 .316 .509 .780 .997 .948 .599 .218 .036 .202 .333 .529 .796 1.000 .941 .594 .225 .046 .213 .345 .541 .800 .989 .923 .584 .232 .057 .220 .351 .546 .795 .966 .894 .570 .238 .070 .223 .353 .547 .783 .935 .858 .552 .243 .082 .226 .355 .547 .768 .899 .818 .532 .247 .095 1146 .688 4646 -6.813 6.92367 .008545 1.179551 .056224 Correlation Surface at 1246 4646 .281 .325 .446 .749 .834 .901 .686 .628 .610 .268 .303 .419 .719 .881 .929 .676 .644 .616 .257 .288 .410 .707 .939 .925 .667 .665 .607 .251 .283 .419 .709 .985 .891 .657 .682 .584 .247 .288 .441 .720 1.000 .839 .647 .686 .552 .243 .299 .467 .737 .984 .786 .634 .676 .519 .233 .311 .487 .758 .952 .745 .614 .647 .497 .221 .316 .502 .789 .923 .720 .585 .607 .497 .208 .311 .511 .828 .901 .708 .550 .571 .518 r_peak,r_snr = .3745323 3.16844 Correlation Surface of oversamples image at 1246 4646 2.238 2.932 3.464 3.840 4.000 3.799 3.368 2.949 2.657 2.179 2.893 3.466 3.862 3.995 3.746 3.280 2.858 2.595 2.149 2.882 3.487 3.885 3.968 3.662 3.171 2.764 2.540 2.129 2.881 3.506 3.886 3.904 3.540 3.043 2.673 2.501 2.131 2.895 3.523 3.871 3.815 3.397 2.908 2.592 2.476 1246 .469 4646 -4.781 3.16844 .021276 1.736871 .142722 Correlation Surface at 1446 4646 .358 .432 .547 .657 .798 .748 .913 .613 .403 .398 .479 .521 .663 .869 .810 .971 .639 .351 .438 .505 .475 .666 .940 .862 .974 .637 .319 .471 .499 .426 .663 .989 .895 .926 .620 .310 .490 .465 .383 .647 1.000 .903 .845 .607 .326 .487 .412 .351 .612 .971 .884 .755 .607 .363 .459 .352 .326 .561 .914 .837 .676 .622 .413 .415 .303 .308 .507 .842 .771 .621 .649 .464 .366 .277 .296 .461 .761 .696 .586 .675 .504 r_peak,r_snr = .269595 2.48848 Correlation Surface of oversamples image at 1446 4646 2.783 2.765 3.130 3.810 4.000 3.257 2.252 1.668 2.892 2.887 3.214 3.819 3.972 3.266 2.279 1.648 3.028 3.038 3.295 3.788 3.892 3.244 2.297 1.639 3.206 3.228 3.396 3.756 3.808 3.225 2.330 1.658 3.392 3.423 3.486 3.698 3.694 3.189 2.362 1.697 1446 -.156 4646 2.219 2.48848 .022080 2.278796 -.064742 Correlation Surface at 1546 4646 .425 .493 .299 .320 .467 .356 .405 .424 .467 .483 .524 .362 .394 .633 .444 .444 .513 .604 .524 .557 .445 .460 .810 .543 .512 .644 .758 .511 .568 .511 .497 .949 .620 .595 .788 .888 .434 .532 .516 .491 1.000 .656 .685 .903 .950 .316 .452 .442 .440 .950 .657 .775 .946 .916 .210 .352 .317 .365 .823 .635 .847 .908 .809 .145 .263 .192 .286 .667 .604 .882 .820 .684 .122 .193 .096 .212 .528 .575 .859 .733 .586 r_peak,r_snr = .1704645 3.08752 Correlation Surface of oversamples image at 1546 4646 .371 .292 .358 .585 .770 .688 .449 .328 .431 .362 .290 .383 .643 .836 .725 .463 .335 .442 .345 .287 .410 .702 .894 .754 .474 .345 .456 .330 .291 .446 .769 .956 .787 .494 .367 .483 .311 .292 .478 .825 1.000 .809 .513 .393 .513 .272 .276 .483 .837 .993 .794 .511 .407 .527 .228 .250 .470 .818 .953 .760 .502 .418 .536 .206 .244 .477 .819 .938 .756 .522 .457 .577 1546 .000 4646 -5.125 3.08752 .018446 1.185653 -.042973 Correlation Surface at 1646 4646 .761 .819 .835 .839 .898 .830 .706 .672 .662 .763 .864 .867 .869 .938 .870 .734 .701 .680 .787 .908 .886 .893 .973 .906 .754 .717 .685 .822 .937 .887 .905 .996 .929 .766 .721 .679 .847 .942 .873 .898 1.000 .934 .772 .718 .670 .859 .931 .850 .872 .988 .928 .780 .713 .659 .864 .915 .824 .836 .967 .918 .794 .706 .645 .873 .903 .795 .799 .941 .910 .816 .698 .625 .897 .899 .769 .768 .920 .909 .841 .687 .603 r_peak,r_snr = .5272167 1.34067 Correlation Surface of oversamples image at 1646 4646 .874 .864 .902 .960 .985 .961 .910 .852 .793 .876 .863 .905 .966 .992 .962 .905 .846 .787 .874 .861 .905 .971 .995 .961 .901 .840 .780 .869 .856 .904 .973 .999 .962 .899 .837 .776 .863 .849 .900 .972 1.000 .963 .900 .838 .776 .852 .836 .889 .965 .996 .962 .901 .839 .775 .836 .819 .872 .951 .987 .959 .903 .842 .777 .822 .802 .854 .936 .980 .960 .910 .851 .785 .807 .782 .834 .920 .972 .961 .919 .862 .795 1646 4.938 4646 -11.125 1.34067 .023025 1.704346 -.089462 Correlation Surface at 1746 4646 .546 .615 .784 .888 .887 .903 .885 .848 .815 .547 .632 .791 .885 .922 .948 .897 .829 .771 .557 .652 .790 .884 .958 .981 .903 .815 .733 .575 .672 .786 .889 .988 .996 .906 .815 .712 .598 .689 .785 .903 1.000 .990 .908 .832 .712 .621 .703 .789 .919 .988 .969 .910 .861 .728 .641 .709 .798 .927 .953 .936 .907 .885 .747 .656 .709 .808 .922 .903 .900 .901 .889 .756 .663 .699 .813 .900 .846 .866 .887 .865 .749 r_peak,r_snr = .6751334 1.61086 Correlation Surface of oversamples image at 1746 4646 .741 .805 .872 .922 .949 .954 .941 .910 .866 .736 .805 .880 .940 .971 .971 .951 .914 .866 .735 .807 .888 .954 .988 .984 .958 .918 .867 .737 .812 .897 .965 .998 .991 .962 .920 .870 .744 .820 .904 .969 1.000 .991 .962 .920 .874 .754 .829 .908 .967 .993 .985 .957 .919 .878 .766 .838 .908 .958 .979 .972 .949 .915 .881 .780 .848 .906 .945 .960 .956 .938 .911 .884 .796 .856 .901 .927 .937 .937 .926 .906 .886 1746 1.625 4646 8.844 1.61086 .020044 .264154 .041310 Correlation Surface at 1846 4646 .943 .933 .808 .919 .901 .922 .866 .614 .610 .915 .918 .797 .907 .941 .983 .835 .558 .600 .873 .874 .756 .879 .972 .997 .769 .515 .594 .827 .808 .695 .851 .992 .965 .684 .488 .584 .787 .731 .636 .833 1.000 .897 .601 .476 .562 .759 .653 .591 .829 .995 .809 .536 .479 .527 .741 .588 .566 .831 .971 .718 .497 .495 .490 .730 .542 .558 .830 .925 .638 .482 .524 .466 .724 .518 .566 .821 .868 .580 .489 .567 .461 r_peak,r_snr = .3872886 1.7273 Correlation Surface of oversamples image at 1846 4646 .700 .807 .928 .984 .981 .969 .948 .851 .659 .673 .775 .903 .976 .987 .981 .947 .830 .629 .643 .742 .878 .968 .992 .987 .939 .803 .598 .614 .713 .858 .963 .997 .991 .926 .775 .572 .587 .688 .843 .959 1.000 .989 .908 .744 .550 .562 .668 .832 .956 1.000 .981 .883 .711 .530 .541 .653 .825 .953 .997 .967 .852 .677 .513 .528 .647 .824 .953 .991 .947 .818 .644 .501 .522 .648 .826 .950 .980 .922 .782 .613 .494 1846 3.094 4646 1.188 1.72730 .280865 15.319539 1.995831 Correlation Surface at 1946 4646 .033 .005 .080 .002 .931 .585 .000 .232 .018 .008 .005 .059 .008 .929 .548 .000 .303 .062 .003 .001 .036 .024 .952 .518 .000 .261 .107 .041 .000 .021 .044 .982 .490 .007 .146 .126 .099 .002 .016 .061 1.000 .467 .029 .044 .108 .130 .004 .018 .068 .975 .446 .058 .003 .075 .111 .002 .027 .059 .884 .426 .068 .001 .048 .064 .000 .041 .036 .740 .400 .053 .000 .036 .023 .002 .054 .016 .591 .379 .025 .004 .033 r_peak,r_snr = .1132514 10.7267 Correlation Surface of oversamples image at 1946 4646 .099 .101 .034 1.475 4.000 3.912 1.837 .230 .251 .143 .117 .033 1.434 3.715 3.528 1.624 .177 .324 .189 .135 .031 1.355 3.384 3.165 1.462 .152 .348 .199 .124 .043 1.357 3.182 2.953 1.415 .172 .285 .193 .104 .063 1.384 3.043 2.821 1.423 .219 .187 1946 .219 4646 -2.813 10.72671 .016770 16.426664 .331109 Correlation Surface at 2046 4646 .419 .498 .506 .656 .778 .708 .762 .723 .640 .427 .512 .488 .646 .835 .776 .779 .737 .665 .436 .516 .461 .638 .905 .850 .799 .750 .684 .445 .511 .430 .628 .967 .908 .813 .754 .694 .454 .502 .405 .615 1.000 .930 .813 .745 .691 .461 .493 .388 .600 .992 .912 .794 .722 .674 .464 .484 .383 .583 .950 .866 .758 .692 .647 .460 .477 .387 .572 .893 .815 .716 .662 .617 .444 .466 .397 .572 .841 .775 .676 .636 .587 r_peak,r_snr = .4473964 2.53192 Correlation Surface of oversamples image at 2046 4646 .593 .604 .713 .868 .938 .877 .798 .779 .784 .576 .584 .700 .871 .960 .912 .829 .795 .786 .556 .563 .686 .872 .980 .943 .857 .808 .786 .533 .541 .670 .870 .993 .968 .878 .816 .784 .510 .518 .653 .863 1.000 .984 .891 .819 .780 .489 .498 .637 .853 .999 .991 .896 .818 .775 .468 .479 .620 .838 .989 .986 .891 .811 .765 .449 .462 .603 .819 .970 .970 .877 .798 .752 .437 .451 .591 .803 .951 .952 .862 .785 .740 2046 .188 4646 1.813 2.53192 .005559 .467970 -.009832 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .021 .001 .074 .372 .833 .654 .234 .158 .092 .036 .007 .058 .371 .883 .712 .243 .142 .073 .048 .015 .046 .362 .937 .755 .239 .120 .057 .056 .018 .035 .351 .978 .761 .217 .098 .044 .058 .017 .026 .350 1.000 .722 .181 .080 .036 .055 .014 .021 .364 .999 .656 .148 .069 .032 .049 .013 .021 .392 .978 .591 .130 .068 .032 .043 .012 .024 .430 .946 .551 .131 .075 .036 .038 .012 .033 .473 .918 .548 .151 .089 .043 r_peak,r_snr = .2848868 8.10502 Correlation Surface of oversamples image at 146 5046 .135 .307 .525 .792 .997 .960 .722 .470 .306 .128 .301 .518 .788 1.000 .969 .741 .495 .326 .121 .291 .506 .780 .995 .970 .751 .513 .341 .118 .283 .496 .773 .994 .977 .768 .536 .358 .116 .274 .483 .763 .989 .980 .780 .553 .370 .111 .261 .467 .746 .970 .965 .776 .556 .370 146 .188 5046 .219 8.10502 .012106 6.780282 .224755 Correlation Surface at 246 5046 .423 .402 .419 .584 .720 .501 .380 .248 .236 .461 .453 .476 .651 .831 .600 .436 .263 .250 .453 .458 .506 .706 .933 .698 .486 .287 .273 .403 .422 .506 .733 .999 .780 .522 .317 .304 .335 .367 .484 .722 1.000 .824 .545 .352 .340 .274 .316 .455 .679 .927 .820 .559 .398 .375 .232 .282 .428 .618 .801 .765 .569 .449 .396 .216 .270 .404 .554 .656 .674 .579 .496 .396 .225 .280 .392 .511 .533 .573 .594 .526 .370 r_peak,r_snr = .3731724 3.62928 Correlation Surface of oversamples image at 246 5046 .510 .566 .660 .786 .849 .773 .627 .495 .380 .517 .578 .684 .829 .910 .842 .689 .540 .409 .516 .583 .700 .861 .958 .899 .743 .581 .434 .510 .582 .708 .879 .989 .941 .788 .616 .458 .502 .579 .708 .884 1.000 .965 .821 .644 .481 .493 .571 .700 .872 .989 .969 .839 .665 .502 .482 .559 .680 .840 .953 .948 .838 .674 .518 .470 .544 .652 .793 .897 .905 .819 .673 .529 .463 .531 .623 .742 .833 .852 .792 .668 .542 246 .156 5046 2.750 3.62928 .010368 .280596 -.017972 Correlation Surface at 346 5046 .123 .126 .232 .368 .557 .542 .439 .305 .127 .137 .126 .218 .390 .678 .657 .466 .278 .102 .156 .131 .209 .428 .820 .764 .503 .272 .106 .191 .151 .208 .475 .945 .827 .540 .285 .135 .244 .189 .219 .511 1.000 .832 .571 .310 .189 .303 .240 .238 .521 .957 .793 .595 .341 .260 .341 .288 .265 .499 .843 .742 .608 .368 .331 .332 .313 .295 .455 .714 .704 .606 .383 .379 .280 .307 .318 .404 .613 .689 .584 .378 .387 r_peak,r_snr = .2787117 4.91865 Correlation Surface of oversamples image at 346 5046 .177 .278 .463 .704 .850 .815 .701 .597 .489 .172 .278 .483 .751 .912 .870 .739 .621 .500 .172 .283 .504 .793 .962 .910 .764 .635 .506 .178 .293 .526 .825 .994 .931 .775 .642 .510 .186 .303 .541 .840 1.000 .928 .769 .638 .508 .194 .311 .545 .832 .976 .897 .742 .621 .497 .204 .317 .540 .805 .929 .848 .706 .599 .484 .218 .326 .532 .769 .874 .797 .673 .582 .478 .233 .333 .517 .722 .810 .742 .640 .567 .473 346 .063 5046 -.156 4.91865 .009803 .362174 .013966 Correlation Surface at 446 5046 .026 .008 .088 .511 .971 .660 .123 .020 .013 .036 .013 .078 .500 .968 .644 .137 .031 .021 .051 .023 .071 .499 .979 .649 .176 .056 .041 .066 .034 .065 .504 .997 .671 .232 .092 .070 .072 .043 .058 .502 1.000 .692 .287 .118 .101 .064 .045 .051 .488 .978 .688 .307 .112 .113 .051 .045 .045 .452 .920 .644 .276 .076 .101 .040 .045 .041 .397 .821 .563 .209 .037 .079 .038 .048 .042 .334 .692 .460 .136 .014 .063 r_peak,r_snr = .2256154 8.23315 Correlation Surface of oversamples image at 446 5046 .920 2.157 3.262 3.882 4.000 3.390 2.182 1.163 .693 .789 2.028 3.198 3.808 3.839 3.192 2.103 1.249 .861 .686 1.920 3.112 3.676 3.624 2.988 2.048 1.371 1.074 .624 1.882 3.092 3.591 3.457 2.842 2.042 1.522 1.302 .592 1.880 3.085 3.498 3.286 2.711 2.048 1.669 1.514 446 .344 5046 .188 8.23315 .011857 9.580921 -.116025 Correlation Surface at 546 5046 .503 .355 .426 .705 .730 .483 .282 .183 .192 .525 .406 .534 .818 .852 .561 .313 .179 .165 .537 .479 .658 .914 .946 .602 .310 .158 .134 .530 .574 .768 .972 .998 .602 .282 .129 .109 .519 .681 .836 .985 1.000 .572 .246 .101 .095 .522 .779 .848 .963 .954 .527 .215 .082 .092 .551 .843 .814 .919 .876 .481 .194 .070 .099 .598 .852 .751 .865 .782 .440 .181 .067 .114 .645 .805 .679 .808 .683 .403 .175 .072 .134 r_peak,r_snr = .2790101 3.66844 Correlation Surface of oversamples image at 546 5046 .483 .650 .820 .893 .872 .751 .555 .380 .270 .509 .687 .858 .931 .914 .789 .584 .402 .285 .539 .725 .894 .968 .957 .829 .612 .423 .297 .567 .754 .917 .994 .991 .859 .629 .432 .302 .585 .765 .919 .999 1.000 .863 .624 .424 .294 .593 .760 .904 .987 .990 .846 .603 .406 .281 .595 .744 .880 .968 .972 .824 .579 .386 .267 .586 .717 .848 .941 .946 .794 .552 .366 .252 .564 .677 .803 .900 .903 .749 .518 .344 .237 546 3.781 5046 4.250 3.66844 .021683 1.521529 .075294 Correlation Surface at 646 5046 .080 .092 .163 .289 .598 .613 .463 .437 .369 .095 .110 .210 .390 .711 .664 .495 .462 .352 .117 .129 .263 .512 .835 .706 .526 .470 .324 .140 .142 .310 .626 .942 .733 .549 .454 .291 .157 .146 .346 .710 1.000 .731 .550 .419 .264 .165 .143 .366 .745 .986 .686 .517 .377 .254 .164 .133 .361 .717 .890 .595 .455 .343 .269 .158 .119 .330 .633 .735 .484 .386 .331 .311 r_peak,r_snr = .387526 4.46893 Correlation Surface of oversamples image at 646 5046 .136 .307 .527 .747 .869 .798 .631 .540 .524 .162 .351 .584 .806 .913 .812 .631 .544 .538 .189 .393 .637 .860 .950 .823 .633 .555 .554 .218 .435 .688 .910 .982 .833 .642 .573 .575 .244 .471 .730 .947 1.000 .837 .653 .595 .594 .264 .494 .752 .959 .993 .826 .657 .611 .605 .276 .504 .755 .947 .963 .800 .656 .621 .608 .286 .507 .747 .922 .921 .769 .652 .628 .609 .289 .499 .722 .876 .861 .727 .640 .626 .604 646 -.156 5046 11.219 4.46893 .008207 .279264 .025552 Correlation Surface at 746 5046 .007 .000 .082 .316 .785 .507 .117 .008 .001 .003 .002 .115 .360 .850 .622 .186 .015 .000 .000 .012 .173 .439 .922 .736 .266 .029 .008 .002 .033 .245 .539 .979 .816 .340 .055 .032 .009 .056 .318 .644 1.000 .842 .389 .093 .071 .017 .075 .382 .735 .964 .813 .407 .131 .113 .024 .087 .433 .797 .869 .735 .401 .159 .141 .028 .094 .474 .825 .734 .632 .385 .172 .147 .030 .099 .507 .818 .589 .529 .363 .169 .134 r_peak,r_snr = .2606385 7.33909 Correlation Surface of oversamples image at 746 5046 .123 .237 .390 .663 .949 .957 .697 .404 .178 .140 .262 .424 .695 .960 .958 .717 .443 .210 .160 .295 .467 .731 .968 .951 .729 .473 .238 .189 .343 .527 .783 .984 .947 .737 .497 .264 .226 .404 .601 .841 1.000 .938 .737 .511 .282 .267 .469 .675 .889 1.000 .912 .716 .505 .289 .313 .539 .747 .927 .984 .870 .680 .484 .287 .369 .621 .825 .964 .969 .829 .642 .461 .284 .431 .703 .895 .989 .944 .784 .601 .436 .281 746 .125 5046 7.969 7.33909 .040771 1.584983 .192553 Correlation Surface at 946 5046 .159 .059 .041 .417 .691 .456 .205 .005 .077 .189 .071 .039 .477 .808 .493 .183 .001 .082 .194 .067 .049 .562 .922 .538 .182 .001 .073 .172 .052 .071 .647 .997 .583 .199 .001 .056 .138 .033 .094 .684 1.000 .620 .227 .004 .035 .110 .019 .104 .650 .930 .637 .252 .007 .018 .095 .012 .093 .557 .813 .622 .254 .009 .009 .096 .012 .064 .435 .684 .572 .229 .007 .005 .104 .017 .034 .327 .575 .496 .186 .004 .004 r_peak,r_snr = .2460751 9.35486 Correlation Surface of oversamples image at 946 5046 .014 .131 .376 .660 .843 .824 .657 .466 .271 .016 .139 .403 .714 .907 .877 .699 .504 .300 .017 .147 .428 .760 .957 .919 .737 .543 .332 .018 .153 .447 .792 .988 .945 .769 .584 .367 .019 .159 .460 .810 1.000 .956 .795 .623 .404 .019 .160 .462 .809 .993 .952 .811 .654 .434 .018 .155 .448 .785 .963 .933 .813 .670 .451 .016 .145 .424 .745 .919 .902 .804 .673 .456 .015 .137 .401 .706 .878 .877 .794 .669 .455 946 .125 5046 5.750 9.35486 .012053 .880765 -.020528 Correlation Surface at 1046 5046 .051 .004 .047 .386 .399 .119 .123 .373 .618 .080 .001 .046 .431 .586 .314 .239 .406 .459 .092 .000 .063 .522 .813 .592 .353 .395 .308 .070 .007 .101 .615 .988 .840 .433 .339 .191 .024 .020 .156 .640 1.000 .924 .462 .248 .112 .000 .033 .196 .538 .813 .802 .428 .146 .064 .049 .043 .192 .347 .540 .563 .328 .059 .036 .180 .056 .153 .179 .322 .322 .187 .010 .019 .345 .079 .102 .084 .206 .142 .056 .001 .006 r_peak,r_snr = .1078321 5.08998 Correlation Surface of oversamples image at 1046 5046 .481 .475 .553 .721 .812 .804 .764 .656 .500 .474 .495 .624 .822 .916 .892 .792 .603 .412 .445 .496 .667 .884 .980 .941 .782 .523 .318 .403 .480 .683 .905 .999 .947 .733 .427 .227 .367 .470 .695 .914 1.000 .932 .674 .341 .159 .329 .456 .691 .894 .966 .881 .595 .261 .107 .270 .410 .634 .807 .853 .754 .470 .172 .058 .206 .349 .545 .673 .687 .581 .328 .093 .022 .183 .332 .501 .586 .568 .459 .242 .057 .010 1046 3.563 5046 11.594 5.08998 .164642 .812407 -.036444 Correlation Surface at 1146 5046 .007 .282 .875 .666 .418 .196 .062 .052 .144 .004 .415 .922 .748 .549 .332 .110 .033 .071 .035 .507 .823 .819 .735 .521 .149 .022 .032 .071 .512 .620 .849 .919 .704 .157 .021 .017 .088 .427 .398 .813 1.000 .780 .130 .033 .014 .079 .293 .223 .712 .920 .699 .088 .056 .016 .054 .160 .115 .571 .721 .516 .054 .079 .015 .030 .069 .058 .417 .494 .326 .034 .085 .009 .014 .026 .030 .280 .303 .198 .029 .067 .003 r_peak,r_snr = .1345646 5.99462 Correlation Surface of oversamples image at 1146 5046 .477 .503 .594 .676 .708 .686 .630 .501 .313 .415 .481 .636 .771 .819 .802 .730 .552 .318 .355 .459 .675 .857 .917 .902 .809 .581 .312 .296 .431 .698 .915 .983 .969 .853 .581 .293 .234 .389 .690 .928 1.000 .987 .847 .543 .255 .175 .338 .653 .897 .972 .958 .796 .478 .209 .132 .295 .611 .851 .928 .911 .734 .414 .169 .101 .255 .560 .792 .869 .850 .664 .353 .137 .069 .202 .478 .692 .770 .749 .565 .280 .099 1146 1.156 5046 8.438 5.99462 .134313 .820414 -.096661 Correlation Surface at 1246 5046 .557 .581 .507 .706 .899 .743 .601 .620 .571 .490 .518 .514 .730 .932 .786 .646 .665 .624 .402 .450 .531 .763 .962 .834 .709 .713 .672 .314 .391 .547 .798 .987 .873 .766 .738 .695 .248 .346 .554 .827 1.000 .891 .798 .727 .686 .215 .319 .548 .844 .993 .886 .800 .687 .660 .213 .308 .534 .845 .965 .862 .774 .635 .635 .239 .317 .524 .833 .921 .825 .727 .592 .629 .283 .347 .534 .814 .872 .772 .667 .571 .649 r_peak,r_snr = .4088485 2.15241 Correlation Surface of oversamples image at 1246 5046 .436 .554 .741 .915 .984 .942 .844 .755 .697 .444 .574 .763 .930 .988 .938 .840 .754 .700 .450 .592 .783 .942 .991 .932 .832 .750 .699 .458 .611 .803 .956 .996 .929 .825 .746 .697 .466 .627 .820 .968 1.000 .925 .818 .741 .692 .468 .634 .828 .972 .998 .916 .808 .732 .681 .466 .635 .829 .971 .992 .907 .798 .722 .667 .466 .636 .830 .971 .990 .903 .794 .715 .655 .469 .637 .829 .968 .986 .899 .790 .707 .642 1246 -.156 5046 2.250 2.15241 .019976 2.905728 .098477 Correlation Surface at 1346 5046 .391 .458 .578 .670 .905 .808 .678 .663 .680 .410 .462 .574 .682 .930 .785 .645 .646 .692 .431 .461 .568 .705 .957 .750 .613 .632 .707 .448 .457 .565 .741 .983 .708 .587 .623 .724 .465 .457 .573 .792 1.000 .676 .576 .621 .739 .482 .462 .591 .845 .999 .654 .574 .620 .743 .500 .474 .614 .884 .971 .642 .579 .618 .731 .522 .498 .638 .894 .917 .637 .587 .618 .711 .542 .528 .654 .867 .840 .632 .593 .619 .688 r_peak,r_snr = .4921057 1.85881 Correlation Surface of oversamples image at 1346 5046 .658 .691 .765 .888 .966 .902 .755 .634 .572 .655 .695 .784 .913 .980 .896 .739 .617 .557 .648 .699 .802 .937 .991 .890 .726 .604 .546 .640 .701 .817 .957 .999 .882 .713 .592 .536 .628 .698 .828 .971 1.000 .870 .699 .580 .526 .615 .693 .832 .975 .993 .855 .685 .570 .517 .605 .688 .833 .974 .983 .842 .675 .564 .513 .595 .681 .828 .964 .965 .825 .666 .559 .509 .581 .666 .811 .938 .935 .801 .652 .552 .504 1346 -.156 5046 -.531 1.85881 .018418 2.271869 .185268 Correlation Surface at 1546 5046 .310 .489 .580 .524 .699 .690 .397 .218 .165 .268 .450 .534 .521 .790 .754 .428 .223 .161 .237 .408 .490 .534 .883 .806 .460 .229 .156 .219 .372 .459 .563 .960 .829 .483 .235 .151 .215 .348 .445 .600 1.000 .809 .488 .244 .148 .224 .341 .446 .632 .987 .742 .476 .254 .146 .243 .353 .460 .652 .929 .649 .451 .264 .149 .270 .379 .480 .655 .848 .559 .420 .274 .158 .301 .409 .493 .642 .767 .495 .394 .286 .172 r_peak,r_snr = .4353457 4.32909 Correlation Surface of oversamples image at 1546 5046 .395 .436 .592 .805 .915 .839 .661 .492 .379 .394 .454 .630 .854 .952 .860 .675 .504 .384 .399 .478 .672 .899 .980 .871 .682 .511 .388 .411 .509 .716 .938 .998 .873 .683 .516 .394 .429 .544 .756 .965 1.000 .861 .674 .517 .399 .449 .577 .787 .974 .982 .832 .653 .510 .402 .471 .608 .809 .968 .947 .789 .621 .497 .403 .495 .637 .824 .949 .902 .739 .585 .482 .407 .517 .660 .827 .919 .848 .682 .545 .465 .409 1546 .313 5046 2.031 4.32909 .005977 .355440 .027448 Correlation Surface at 1646 5046 .119 .015 .076 .616 .529 .198 .003 .084 .315 .112 .020 .111 .722 .685 .239 .006 .072 .261 .112 .032 .158 .808 .852 .290 .014 .064 .201 .114 .052 .202 .834 .967 .346 .032 .062 .148 .117 .079 .225 .785 1.000 .406 .070 .068 .107 .118 .108 .219 .672 .952 .470 .131 .079 .077 .113 .127 .191 .527 .847 .531 .197 .089 .060 .103 .126 .149 .387 .721 .568 .230 .090 .057 .084 .101 .110 .283 .624 .569 .213 .078 .067 r_peak,r_snr = .1572942 4.35353 Correlation Surface of oversamples image at 1646 5046 .099 .232 .506 .823 .843 .503 .153 .016 .001 .102 .238 .532 .883 .908 .539 .166 .022 .003 .105 .239 .548 .925 .956 .569 .182 .032 .010 .109 .239 .556 .948 .987 .597 .205 .048 .023 .113 .237 .553 .949 1.000 .622 .234 .072 .044 .114 .227 .534 .924 .991 .641 .267 .103 .073 .112 .215 .505 .882 .969 .660 .309 .143 .108 .114 .209 .484 .847 .958 .698 .370 .200 .155 .117 .205 .464 .811 .949 .745 .444 .267 .207 1646 -.188 5046 -2.063 4.35353 .053146 2.815353 -.301980 Correlation Surface at 1746 5046 .191 .323 .478 .616 .858 .866 .610 .436 .320 .181 .296 .457 .624 .906 .897 .615 .451 .314 .161 .265 .434 .639 .956 .912 .625 .463 .308 .135 .237 .416 .662 .992 .908 .642 .478 .309 .112 .216 .405 .688 1.000 .890 .665 .498 .322 .096 .203 .398 .708 .972 .861 .686 .523 .343 .088 .193 .389 .712 .913 .822 .695 .546 .364 .086 .185 .374 .699 .839 .776 .682 .556 .372 .091 .177 .352 .671 .765 .727 .648 .544 .360 r_peak,r_snr = .456997 3.94059 Correlation Surface of oversamples image at 1746 5046 .532 .663 .762 .853 .944 .956 .838 .692 .613 .513 .648 .761 .867 .962 .962 .831 .688 .618 .494 .633 .759 .880 .978 .966 .826 .689 .627 .477 .620 .757 .891 .992 .968 .824 .695 .641 .461 .606 .753 .898 1.000 .969 .826 .707 .658 .444 .591 .745 .898 .999 .963 .827 .720 .675 .428 .576 .733 .891 .990 .953 .829 .735 .692 .416 .564 .723 .882 .980 .947 .837 .756 .712 .405 .552 .713 .871 .967 .940 .846 .777 .730 1746 .156 5046 1.094 3.94059 .008222 .604033 .037533 Correlation Surface at 1846 5046 .107 .276 .709 .997 .901 .680 .623 .641 .625 .100 .266 .699 .992 .942 .732 .639 .603 .585 .096 .254 .671 .977 .973 .769 .631 .553 .550 .091 .238 .631 .951 .993 .789 .602 .503 .529 .085 .220 .584 .916 1.000 .794 .569 .469 .522 .079 .200 .535 .877 .997 .790 .542 .455 .520 .073 .181 .489 .843 .991 .785 .530 .461 .509 .070 .162 .453 .818 .982 .779 .534 .482 .481 .070 .148 .429 .808 .971 .772 .548 .505 .435 r_peak,r_snr = .3325065 3.07597 Correlation Surface of oversamples image at 1846 5046 .336 .527 .737 .909 .986 .927 .769 .606 .482 .320 .509 .721 .900 .989 .939 .782 .611 .478 .302 .490 .702 .890 .992 .951 .793 .616 .475 .286 .472 .686 .881 .997 .964 .806 .621 .473 .271 .455 .669 .873 1.000 .974 .815 .625 .472 .255 .436 .651 .861 .997 .976 .818 .624 .468 .239 .416 .630 .845 .987 .970 .811 .615 .461 .232 .406 .621 .840 .984 .968 .809 .612 .462 1846 .688 5046 8.781 3.07597 .145139 26.021999 -1.748253 Correlation Surface at 1946 5046 .354 .407 .448 .554 .665 .546 .387 .357 .206 .316 .410 .479 .562 .759 .688 .482 .316 .171 .278 .390 .474 .553 .871 .831 .567 .267 .135 .245 .360 .431 .521 .964 .926 .613 .221 .108 .221 .328 .364 .476 1.000 .934 .605 .188 .096 .205 .299 .297 .439 .974 .858 .554 .173 .098 .195 .271 .247 .414 .895 .739 .486 .174 .117 .191 .240 .219 .393 .786 .620 .417 .184 .147 .186 .207 .217 .375 .681 .528 .355 .192 .184 r_peak,r_snr = .2350907 3.92655 Correlation Surface of oversamples image at 1946 5046 .397 .461 .623 .782 .861 .867 .857 .842 .694 .390 .478 .663 .841 .935 .925 .878 .827 .663 .363 .480 .701 .895 .978 .932 .853 .782 .619 .339 .482 .731 .931 .993 .917 .810 .720 .568 .333 .493 .752 .950 1.000 .905 .770 .661 .527 .328 .498 .759 .954 .991 .873 .716 .601 .490 .307 .485 .748 .936 .947 .804 .639 .529 .442 .285 .462 .718 .893 .883 .726 .560 .454 .386 .290 .461 .701 .864 .847 .689 .519 .413 .358 1946 -.625 5046 5.750 3.92655 .016015 1.392138 -.025805 Correlation Surface at 2046 5046 .736 .686 .745 .777 .840 .835 .787 .741 .703 .666 .623 .704 .766 .869 .849 .791 .718 .672 .601 .555 .659 .772 .920 .879 .801 .695 .640 .553 .503 .632 .800 .972 .911 .815 .685 .621 .528 .482 .639 .845 1.000 .931 .831 .698 .628 .527 .495 .679 .888 .991 .933 .848 .734 .661 .541 .529 .723 .897 .944 .917 .863 .784 .709 .560 .567 .747 .861 .878 .898 .876 .833 .752 .576 .599 .746 .802 .823 .891 .881 .867 .778 r_peak,r_snr = .6008288 1.82584 Correlation Surface of oversamples image at 2046 5046 .638 .720 .778 .847 .914 .932 .898 .850 .805 .625 .711 .781 .869 .946 .959 .918 .866 .815 .616 .706 .786 .889 .973 .979 .931 .877 .823 .611 .703 .792 .907 .992 .990 .936 .884 .829 .610 .703 .798 .919 1.000 .989 .933 .885 .834 .612 .703 .800 .921 .994 .976 .921 .881 .836 .614 .703 .798 .912 .975 .950 .901 .872 .837 .619 .703 .791 .894 .944 .917 .877 .862 .839 .624 .701 .779 .866 .904 .878 .852 .851 .842 2046 -1.281 5046 -5.094 1.82584 .008299 .183224 .016549 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .041 .075 .244 .651 .738 .438 .215 .010 .055 .031 .086 .253 .712 .850 .438 .167 .006 .046 .032 .106 .266 .776 .944 .404 .118 .005 .026 .042 .135 .283 .837 1.000 .342 .084 .006 .010 .066 .172 .312 .892 1.000 .277 .076 .014 .003 .105 .217 .352 .935 .952 .234 .098 .031 .001 .159 .266 .403 .966 .887 .228 .155 .058 .000 .217 .309 .457 .983 .832 .263 .242 .083 .001 .252 .334 .494 .966 .791 .327 .325 .092 .004 r_peak,r_snr = .2300205 6.33387 Correlation Surface of oversamples image at 146 5446 .274 .343 .512 .772 .921 .787 .523 .292 .138 .307 .369 .542 .812 .951 .785 .495 .257 .114 .337 .392 .569 .851 .976 .775 .461 .222 .096 .364 .413 .598 .888 .994 .758 .426 .192 .085 .391 .436 .628 .922 1.000 .733 .389 .167 .079 .417 .460 .658 .946 .993 .704 .358 .150 .082 .444 .486 .688 .966 .986 .683 .340 .146 .096 .468 .512 .719 .982 .976 .668 .334 .154 .122 .480 .528 .734 .976 .947 .645 .329 .167 .155 146 .313 5446 1.875 6.33387 .025370 3.062447 .231003 Correlation Surface at 246 5446 .092 .276 .514 .668 .597 .716 .420 .291 .437 .089 .262 .492 .737 .731 .856 .418 .320 .551 .099 .248 .485 .815 .868 .965 .414 .358 .633 .126 .239 .488 .875 .969 .993 .402 .391 .643 .168 .237 .496 .893 1.000 .929 .381 .410 .579 .220 .251 .518 .872 .961 .808 .359 .417 .481 .272 .286 .568 .846 .877 .681 .349 .421 .398 .312 .349 .654 .843 .782 .580 .357 .425 .358 .329 .436 .772 .873 .699 .516 .379 .437 .364 r_peak,r_snr = .2156338 3.25866 Correlation Surface of oversamples image at 246 5446 .235 .364 .593 .803 .865 .752 .527 .367 .366 .217 .351 .593 .826 .918 .809 .563 .390 .380 .202 .347 .601 .852 .965 .858 .598 .415 .396 .189 .344 .605 .864 .992 .887 .624 .436 .407 .180 .346 .609 .866 1.000 .901 .643 .454 .414 .177 .355 .619 .867 .997 .905 .659 .472 .420 .175 .366 .627 .856 .976 .894 .668 .487 .422 .174 .375 .626 .829 .934 .866 .665 .492 .416 .175 .383 .620 .794 .884 .831 .656 .491 .405 246 -3.906 5446 -11.750 3.25866 .444324 2.086117 .711201 Correlation Surface at 346 5446 .009 .000 .062 .303 .593 .311 .037 .003 .017 .000 .021 .101 .376 .763 .370 .040 .001 .019 .011 .081 .127 .425 .905 .393 .046 .001 .026 .051 .160 .131 .445 .990 .392 .060 .009 .039 .121 .221 .122 .443 1.000 .379 .082 .027 .061 .207 .250 .115 .432 .937 .365 .112 .054 .096 .280 .252 .119 .424 .824 .353 .147 .085 .147 .318 .249 .137 .419 .696 .349 .183 .116 .209 .316 .255 .167 .404 .575 .350 .211 .144 .270 r_peak,r_snr = .1846431 5.59724 Correlation Surface of oversamples image at 346 5446 .038 .112 .336 .661 .838 .689 .363 .123 .021 .041 .114 .355 .717 .910 .734 .377 .128 .027 .045 .116 .368 .760 .966 .770 .391 .138 .036 .049 .116 .373 .783 .999 .791 .404 .151 .048 .050 .113 .366 .781 1.000 .791 .412 .165 .063 .051 .108 .351 .760 .976 .778 .421 .184 .082 .054 .106 .339 .732 .942 .765 .438 .213 .107 .058 .105 .323 .693 .895 .747 .457 .245 .134 .058 .099 .296 .632 .820 .708 .466 .270 .154 346 -9.000 5446 -4.750 5.59724 .007635 1.790913 .008111 Correlation Surface at 446 5446 .013 .075 .263 .580 .723 .516 .211 .102 .048 .014 .062 .245 .584 .810 .585 .232 .110 .054 .013 .048 .220 .577 .904 .656 .246 .110 .054 .010 .037 .193 .559 .974 .707 .254 .104 .050 .007 .030 .166 .528 1.000 .729 .255 .093 .043 .005 .027 .143 .485 .978 .720 .248 .078 .036 .004 .025 .121 .432 .924 .691 .230 .061 .029 .005 .024 .102 .379 .862 .651 .199 .044 .021 .006 .022 .085 .334 .810 .615 .169 .030 .013 r_peak,r_snr = .4086229 8.45959 Correlation Surface of oversamples image at 446 5446 .235 .427 .694 .926 .967 .750 .434 .202 .082 .220 .417 .697 .944 .990 .767 .440 .196 .071 .207 .406 .695 .950 .999 .775 .440 .188 .060 .197 .396 .689 .950 1.000 .774 .436 .179 .050 .193 .393 .689 .952 1.000 .774 .434 .172 .042 .193 .393 .690 .954 1.000 .771 .430 .165 .037 .191 .390 .687 .951 .992 .761 .419 .156 .031 .189 .385 .681 .946 .982 .746 .405 .145 .027 .192 .390 .690 .959 .991 .747 .403 .143 .026 446 .344 5446 1.750 8.45959 .003811 .482131 -.018028 Correlation Surface at 546 5446 .234 .478 .788 .852 .754 .556 .332 .373 .483 .227 .461 .725 .821 .848 .637 .373 .416 .503 .208 .422 .610 .752 .923 .724 .403 .446 .495 .185 .367 .474 .671 .977 .797 .410 .461 .471 .161 .302 .349 .600 1.000 .835 .398 .467 .440 .140 .238 .256 .550 .975 .819 .377 .471 .406 .121 .184 .199 .526 .900 .748 .359 .474 .362 .104 .144 .171 .513 .787 .640 .352 .472 .310 .090 .117 .163 .499 .653 .521 .357 .457 .257 r_peak,r_snr = .2644802 4.56005 Correlation Surface of oversamples image at 546 5446 .569 .636 .739 .871 .943 .903 .790 .626 .464 .504 .580 .715 .879 .969 .943 .834 .654 .469 .443 .527 .692 .884 .989 .972 .862 .663 .462 .386 .479 .669 .883 .998 .985 .869 .652 .443 .337 .437 .649 .879 1.000 .988 .860 .627 .416 .297 .404 .633 .874 .997 .981 .841 .594 .387 .263 .378 .617 .860 .980 .957 .806 .552 .358 .231 .351 .594 .830 .940 .910 .751 .500 .325 .202 .326 .566 .789 .887 .851 .688 .446 .294 546 1.219 5446 -2.188 4.56005 .025110 1.880745 -.144403 Correlation Surface at 646 5446 .636 .491 .500 .709 .800 .824 .767 .746 .749 .649 .468 .492 .771 .872 .842 .751 .742 .762 .656 .455 .509 .844 .937 .847 .730 .739 .762 .654 .458 .550 .914 .982 .833 .708 .741 .750 .645 .476 .607 .967 1.000 .799 .689 .742 .724 .632 .506 .663 .996 .991 .752 .676 .737 .684 .616 .540 .701 .994 .960 .704 .669 .722 .635 .597 .567 .708 .964 .917 .666 .664 .693 .584 .581 .583 .684 .910 .871 .648 .665 .660 .544 r_peak,r_snr = .4463917 1.7659 Correlation Surface of oversamples image at 646 5446 .441 .516 .671 .838 .941 .947 .897 .823 .719 .445 .531 .698 .870 .969 .966 .907 .823 .714 .451 .547 .724 .896 .987 .976 .909 .817 .706 .460 .566 .750 .917 .997 .978 .903 .805 .696 .474 .589 .775 .933 1.000 .973 .890 .788 .686 .492 .614 .799 .944 .997 .961 .872 .768 .675 .511 .638 .817 .947 .986 .942 .847 .743 .662 .530 .659 .829 .944 .970 .918 .818 .716 .648 .551 .680 .838 .939 .954 .895 .790 .691 .637 646 -.313 5446 -2.813 1.76590 .093570 2.069795 .397791 Correlation Surface at 746 5446 .145 .301 .547 .536 .677 .491 .275 .274 .287 .105 .246 .454 .526 .789 .617 .287 .231 .237 .070 .214 .415 .541 .909 .738 .292 .186 .193 .047 .209 .423 .566 .993 .814 .297 .149 .162 .038 .223 .454 .575 1.000 .814 .307 .124 .153 r_peak,r_snr = .1700235 4.37136 Correlation Surface of oversamples image at 746 5446 .555 .563 .597 .741 .900 .861 .524 .171 .027 .540 .529 .558 .723 .924 .897 .531 .164 .025 .526 .502 .531 .718 .956 .933 .540 .164 .026 .511 .482 .516 .721 .986 .960 .546 .168 .029 .494 .466 .508 .725 1.000 .965 .544 .174 .035 .472 .454 .506 .727 .994 .944 .531 .182 .043 .449 .449 .516 .735 .980 .910 .518 .195 .056 .423 .449 .534 .744 .952 .862 .505 .215 .073 .383 .438 .540 .729 .887 .784 .478 .230 .090 746 2.219 5446 14.438 4.37136 .033383 1.665230 .042965 Correlation Surface at 846 5446 .000 .322 .694 .425 .029 .006 .000 .002 .369 .709 .439 .015 .017 .002 .007 .420 .792 .484 .012 .025 .009 .010 .472 .912 .530 .015 .026 .020 .010 .510 1.000 .541 .025 .025 .035 .006 .510 .989 .501 .037 .024 .050 .002 .461 .879 .431 .047 .025 .062 .000 .377 .732 .369 .055 .024 .068 .001 .291 .607 .336 .066 .016 .065 r_peak,r_snr = .2180238 7.14059 Correlation Surface of oversamples image at 846 5446 .173 .221 .362 .668 .980 .965 .678 .418 .264 .206 .261 .411 .720 .985 .896 .582 .343 .212 .224 .288 .452 .765 .987 .837 .509 .288 .171 .234 .307 .486 .806 .995 .803 .470 .265 .156 .232 .312 .505 .833 1.000 .783 .453 .262 .153 .217 .303 .504 .840 .997 .770 .448 .265 .152 .195 .283 .489 .831 .988 .766 .455 .275 .153 .171 .259 .465 .812 .979 .774 .475 .295 .163 .148 .231 .432 .781 .966 .786 .500 .318 .175 846 -14.031 5446 -11.750 7.14059 .008721 .658314 .015504 Correlation Surface at 946 5446 .200 .500 .600 .668 .732 .625 .357 .027 .026 .195 .457 .538 .655 .834 .668 .335 .047 .005 .155 .371 .468 .617 .932 .722 .319 .089 .003 .098 .271 .414 .572 .998 .779 .313 .149 .031 .050 .187 .380 .525 1.000 .820 .319 .205 .060 .022 .132 .368 .480 .918 .830 .340 .235 .062 .012 .104 .375 .432 .773 .817 .377 .237 .041 .011 .096 .392 .378 .610 .794 .426 .229 .021 .014 .096 .406 .321 .468 .763 .474 .234 .013 r_peak,r_snr = .1916625 6.22667 Correlation Surface of oversamples image at 946 5446 .543 1.271 2.336 3.373 4.000 3.692 2.259 .717 .127 .583 1.329 2.333 3.322 3.972 3.640 2.146 .670 .146 .582 1.308 2.230 3.174 3.838 3.480 1.983 .630 .182 .520 1.177 2.003 2.919 3.587 3.202 1.765 .591 .239 .403 .958 1.691 2.588 3.242 2.831 1.511 .549 .307 946 -4.875 5446 -13.781 6.22667 .027560 1.319389 -.090139 Correlation Surface at 1046 5446 .400 .280 .630 .936 .632 .422 .419 .221 .054 .362 .293 .642 .946 .732 .473 .376 .171 .039 .335 .318 .635 .933 .848 .525 .341 .136 .031 .329 .348 .601 .894 .952 .570 .304 .105 .029 .340 .371 .531 .818 1.000 .597 .260 .073 .030 .364 .372 .429 .705 .962 .605 .221 .045 .032 .392 .344 .313 .558 .842 .602 .199 .029 .039 .415 .290 .204 .407 .679 .601 .204 .027 .058 .422 .221 .120 .285 .528 .609 .241 .046 .092 r_peak,r_snr = .236229 4.41401 Correlation Surface of oversamples image at 1046 5446 .765 1.136 2.288 3.638 4.000 3.279 2.337 1.853 1.926 .807 1.181 2.253 3.460 3.811 3.200 2.345 1.890 1.911 .849 1.216 2.181 3.230 3.575 3.083 2.329 1.901 1.861 .930 1.284 2.139 3.044 3.407 3.045 2.392 1.977 1.852 1.018 1.353 2.093 2.872 3.266 3.042 2.499 2.090 1.864 1046 -1.094 5446 -11.813 4.41401 .027361 .824520 -.092231 Correlation Surface at 1146 5446 .000 .061 .121 .611 .935 .886 .688 .263 .071 .000 .062 .139 .718 .997 .949 .668 .244 .080 .001 .056 .169 .791 1.000 .983 .641 .256 .110 .002 .047 .208 .800 .958 .987 .605 .293 .161 .001 .042 .245 .740 .894 .963 .552 .331 .216 .001 .042 .268 .639 .839 .912 .476 .342 .247 .000 .049 .266 .539 .817 .844 .383 .313 .240 r_peak,r_snr = .2224375 5.89861 Correlation Surface of oversamples image at 1146 5446 .078 .203 .490 .768 .866 .872 .838 .723 .515 .080 .230 .554 .838 .918 .903 .854 .725 .506 .086 .265 .617 .898 .958 .928 .870 .734 .508 .097 .304 .674 .943 .987 .949 .892 .754 .523 .112 .345 .717 .967 1.000 .965 .916 .781 .548 .129 .381 .742 .966 .996 .970 .934 .807 .578 .147 .407 .742 .940 .976 .964 .942 .822 .601 .163 .421 .718 .894 .945 .952 .940 .825 .612 .180 .425 .681 .841 .916 .944 .939 .823 .617 1146 -.156 5446 -13.219 5.89861 .132638 2.984120 .203342 Correlation Surface at 1246 5446 .398 .436 .578 .738 .865 .757 .545 .489 .475 .388 .443 .590 .758 .928 .767 .526 .488 .491 .372 .450 .587 .753 .974 .775 .515 .489 .509 .362 .455 .569 .730 .997 .778 .519 .502 .530 .371 .460 .542 .702 1.000 .777 .542 .530 .554 .400 .465 .516 .680 .985 .776 .581 .569 .574 .443 .468 .498 .668 .956 .779 .630 .608 .587 .485 .470 .494 .666 .917 .783 .677 .632 .586 .510 .470 .504 .672 .870 .784 .705 .632 .566 r_peak,r_snr = .4530459 2.42025 Correlation Surface of oversamples image at 1246 5446 .728 .847 .926 .969 .993 .993 .916 .761 .605 .712 .828 .911 .965 .998 .994 .898 .729 .573 .694 .803 .890 .956 1.000 .992 .879 .696 .543 .674 .775 .863 .943 .999 .987 .858 .665 .515 .654 .745 .835 .928 .996 .980 .836 .636 .492 .631 .713 .805 .911 .990 .969 .813 .611 .476 .609 .683 .777 .895 .982 .954 .791 .592 .468 1246 .219 5446 -1.750 2.42025 .005859 2.224709 -.057778 Correlation Surface at 1346 5446 .593 .678 .675 .644 .699 .706 .527 .402 .387 .595 .680 .670 .688 .788 .798 .595 .433 .377 .616 .689 .671 .742 .888 .887 .642 .442 .364 .658 .709 .685 .801 .967 .938 .651 .430 .354 .717 .738 .713 .858 1.000 .930 .623 .409 .352 .774 .765 .750 .896 .977 .866 .579 .396 .361 .806 .781 .781 .897 .910 .778 .537 .396 .378 .795 .779 .793 .857 .827 .694 .510 .405 .392 .747 .760 .777 .793 .757 .640 .507 .419 .402 r_peak,r_snr = .4543304 1.96826 Correlation Surface of oversamples image at 1346 5446 .687 .693 .736 .803 .853 .838 .777 .696 .603 .709 .739 .798 .868 .913 .886 .815 .726 .624 .732 .781 .850 .921 .958 .924 .845 .748 .637 .755 .819 .894 .961 .988 .945 .859 .755 .638 .777 .854 .928 .984 1.000 .951 .860 .751 .630 .800 .880 .945 .987 .993 .942 .850 .738 .616 .820 .896 .945 .969 .967 .917 .828 .717 .598 .836 .902 .930 .935 .926 .879 .794 .688 .573 .849 .899 .903 .891 .877 .833 .754 .654 .547 1346 3.375 5446 -11.781 1.96826 .040667 .357793 .087122 Correlation Surface at 1446 5446 .274 .422 .459 .484 .621 .679 .375 .253 .226 .285 .434 .493 .573 .763 .694 .380 .299 .237 .268 .435 .542 .679 .889 .692 .391 .348 .252 .233 .425 .591 .778 .972 .668 .397 .387 .264 .201 .415 .626 .843 1.000 .622 .393 .410 .273 .188 .414 .638 .865 .978 .563 .384 .418 .278 .201 .422 .624 .846 .917 .506 .380 .410 .282 .233 .428 .585 .801 .836 .465 .390 .391 .284 .270 .415 .528 .743 .756 .449 .418 .370 .292 r_peak,r_snr = .3502618 3.85273 Correlation Surface of oversamples image at 1446 5446 .483 .543 .633 .767 .900 .962 .878 .670 .454 .506 .582 .681 .815 .943 .985 .865 .634 .424 .529 .620 .726 .856 .976 .995 .842 .596 .397 .550 .654 .764 .887 .996 .993 .812 .558 .372 .564 .676 .788 .903 1.000 .975 .773 .519 .349 .570 .687 .800 .907 .992 .946 .730 .482 .330 .575 .692 .805 .909 .982 .917 .693 .455 .320 .574 .688 .802 .904 .966 .885 .658 .436 .316 .557 .665 .781 .882 .932 .839 .619 .416 .313 1446 -.250 5446 6.094 3.85273 .017581 .879474 .092168 Correlation Surface at 1546 5446 .038 .014 .068 .529 .695 .363 .192 .131 .051 .044 .011 .068 .532 .767 .391 .201 .165 .071 .048 .013 .072 .514 .863 .449 .237 .239 .107 .047 .019 .076 .480 .949 .541 .313 .367 .150 .042 .027 .083 .455 1.000 .656 .428 .536 .190 .038 .037 .097 .456 .998 .753 .552 .693 .217 .038 .048 .122 .481 .930 .777 .630 .774 .233 .043 .058 .159 .512 .794 .697 .615 .744 .246 .055 .069 .202 .529 .626 .539 .510 .624 .267 r_peak,r_snr = .1920614 5.98929 Correlation Surface of oversamples image at 1546 5446 .011 .162 .555 .897 .906 .667 .389 .214 .155 .011 .152 .528 .891 .943 .716 .427 .248 .193 .010 .142 .501 .880 .971 .763 .476 .295 .245 .011 .136 .483 .872 .994 .810 .535 .355 .311 .013 .135 .472 .861 1.000 .845 .593 .420 .383 .014 .135 .464 .838 .978 .856 .638 .478 .449 .017 .142 .463 .808 .932 .843 .668 .525 .506 .025 .161 .478 .781 .879 .821 .688 .564 .554 .037 .189 .496 .744 .807 .773 .683 .579 .578 1546 -.063 5446 -.156 5.98929 .033814 3.758076 -.285821 Correlation Surface at 1646 5446 .456 .192 .366 .738 .711 .456 .336 .304 .310 .453 .212 .413 .802 .806 .602 .421 .319 .333 .407 .219 .438 .830 .897 .770 .491 .330 .370 .352 .224 .445 .826 .969 .909 .519 .338 .410 .319 .235 .440 .790 1.000 .968 .496 .341 .444 .320 .253 .426 .734 .973 .926 .443 .335 .452 .347 .271 .407 .669 .890 .817 .387 .320 .427 .388 .289 .388 .600 .784 .700 .350 .300 .377 .429 .302 .373 .534 .695 .628 .344 .285 .320 r_peak,r_snr = .2563447 2.8747 Correlation Surface of oversamples image at 1646 5446 .228 .443 .744 .937 .983 .912 .745 .559 .431 .231 .455 .770 .961 .996 .927 .783 .621 .496 .226 .459 .784 .971 1.000 .943 .832 .698 .571 .219 .455 .784 .966 .994 .956 .881 .773 .641 .208 .443 .768 .945 .977 .962 .925 .840 .699 .194 .423 .739 .909 .948 .959 .961 .895 .741 .179 .399 .701 .863 .910 .948 .984 .932 .763 1646 4.313 5446 2.219 2.87470 .103058 1.399658 -.202894 Correlation Surface at 1746 5446 .009 .007 .014 .159 .325 .160 .053 .129 .020 .020 .008 .027 .248 .516 .230 .104 .144 .007 .042 .018 .045 .342 .755 .361 .199 .159 .001 .077 .045 .064 .397 .956 .528 .346 .183 .000 .129 .098 .072 .374 1.000 .655 .516 .211 .000 .195 .171 .064 .273 .827 .663 .639 .226 .000 .261 .240 .043 .146 .529 .540 .644 .204 .000 .307 .270 .021 .052 .260 .351 .520 .145 .001 .314 .239 .005 .010 .099 .186 .337 .078 .005 r_peak,r_snr = .1652998 9.72976 Correlation Surface of oversamples image at 1746 5446 .903 .699 .551 .579 .695 .620 .286 .040 .859 .708 .607 .679 .823 .722 .326 .047 .779 .687 .636 .752 .920 .792 .347 .050 .690 .651 .647 .800 .985 .832 .353 .051 .582 .588 .624 .807 1.000 .826 .336 .048 .448 .485 .550 .747 .938 .753 .284 .037 .319 .370 .448 .643 .821 .635 .218 .024 .234 .290 .371 .556 .719 .536 .171 .019 1746 2.094 5446 3.813 9.72976 .016282 .288032 -.028344 Correlation Surface at 1846 5446 .145 .185 .217 .469 .721 .712 .430 .440 .262 .099 .115 .193 .493 .815 .788 .509 .500 .278 .072 .073 .177 .514 .907 .878 .602 .511 .262 .074 .064 .172 .520 .971 .951 .662 .472 .226 .098 .076 .176 .514 1.000 .969 .650 .413 .196 .131 .092 .178 .502 .993 .929 .576 .360 .185 .160 .106 .170 .483 .957 .857 .479 .323 .195 .177 .116 .155 .453 .912 .792 .405 .313 .222 .186 .131 .142 .418 .876 .763 .380 .329 .264 r_peak,r_snr = .2572481 4.74543 Correlation Surface of oversamples image at 1846 5446 .228 .447 .636 .805 .933 .890 .683 .500 .412 .229 .456 .652 .834 .966 .912 .701 .523 .438 .226 .455 .652 .843 .981 .927 .724 .552 .466 .224 .450 .648 .849 .996 .947 .751 .581 .486 .217 .436 .632 .842 1.000 .958 .770 .597 .490 .207 .412 .599 .813 .979 .947 .769 .596 .477 .196 .382 .557 .769 .941 .916 .744 .572 .446 .185 .353 .518 .731 .905 .878 .704 .530 .402 .171 .322 .481 .695 .867 .830 .647 .472 .349 1846 -.344 5446 3.219 4.74543 .016175 3.183043 -.003574 Correlation Surface at 2046 5446 .263 .460 .402 .604 .799 .678 .608 .495 .360 .273 .447 .436 .667 .874 .733 .580 .424 .340 .280 .436 .486 .718 .938 .787 .544 .363 .317 .281 .426 .538 .742 .982 .828 .499 .317 .296 .277 .413 .577 .735 1.000 .842 .450 .293 .279 .268 .402 .595 .706 .985 .814 .404 .291 .268 .259 .394 .597 .670 .935 .746 .370 .309 .262 .256 .395 .593 .639 .849 .642 .351 .342 .259 .260 .409 .598 .620 .739 .522 .342 .379 .258 r_peak,r_snr = .3361189 2.95322 Correlation Surface of oversamples image at 2046 5446 .413 .462 .632 .849 .946 .856 .679 .526 .409 .427 .491 .664 .873 .965 .878 .697 .527 .393 .440 .518 .688 .888 .979 .898 .714 .528 .378 .456 .544 .711 .902 .993 .919 .732 .530 .366 .469 .565 .727 .909 1.000 .934 .744 .528 .355 .476 .577 .731 .902 .993 .935 .744 .517 .342 .481 .585 .729 .888 .976 .924 .734 .503 .331 .492 .599 .733 .878 .961 .912 .721 .492 .328 .507 .613 .735 .865 .939 .888 .699 .477 .327 2046 .063 5446 3.031 2.95322 .014096 1.819217 -.028085 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .130 .387 .834 .695 .586 .545 .295 .151 .156 .173 .369 .772 .665 .676 .692 .349 .139 .142 .196 .342 .717 .675 .810 .831 .386 .142 .140 .191 .308 .666 .720 .935 .894 .396 .160 .150 .167 .272 .622 .785 1.000 .865 .385 .190 .166 .142 .241 .586 .847 .992 .778 .368 .227 .180 r_peak,r_snr = .2893705 4.018 Correlation Surface of oversamples image at 146 5846 .576 .582 .645 .769 .859 .774 .548 .334 .196 .537 .573 .672 .828 .925 .814 .560 .336 .198 .502 .567 .698 .877 .971 .833 .558 .332 .200 .472 .566 .723 .914 .996 .833 .545 .326 .202 .448 .566 .743 .936 1.000 .816 .525 .317 .206 .426 .564 .751 .934 .976 .778 .496 .306 .209 .409 .561 .747 .914 .933 .731 .464 .295 .212 .402 .564 .745 .891 .892 .691 .443 .292 .221 .401 .571 .741 .867 .854 .658 .429 .294 .232 146 .406 5846 12.938 4.01800 .064833 .827786 .175590 Correlation Surface at 246 5846 .143 .282 .350 .409 .565 .740 .706 .705 .620 .155 .267 .272 .445 .673 .810 .716 .727 .706 .179 .260 .214 .506 .807 .876 .724 .734 .772 .213 .266 .191 .589 .935 .922 .735 .727 .804 .254 .286 .207 .676 1.000 .924 .747 .697 .786 .302 .327 .259 .734 .969 .880 .754 .643 .717 .355 .389 .333 .730 .855 .810 .746 .569 .614 .407 .467 .409 .665 .707 .737 .717 .490 .508 .454 .555 .471 .572 .574 .675 .680 .428 .432 r_peak,r_snr = .2675794 2.54092 Correlation Surface of oversamples image at 246 5846 2.251 2.310 2.613 3.020 2.363 2.468 2.814 3.280 2.494 2.639 3.012 3.507 2.636 2.803 3.176 3.667 2.782 2.952 3.297 3.748 2.933 3.089 3.379 3.753 3.093 3.215 3.424 3.689 3.242 3.309 3.415 3.552 3.352 3.355 3.347 3.350 246 -.188 5846 -8.844 2.54092 .036975 .482392 .074528 Correlation Surface at 346 5846 .019 .073 .393 .507 .407 .208 .029 .000 .045 .021 .074 .442 .624 .593 .316 .038 .000 .053 .018 .077 .466 .734 .786 .449 .059 .004 .059 .011 .068 .431 .795 .934 .576 .090 .010 .062 .003 .045 .334 .784 1.000 .668 .120 .018 .067 .000 .019 .215 .694 .967 .692 .139 .023 .080 .004 .005 .119 .548 .847 .637 .148 .024 .099 .007 .001 .063 .394 .669 .527 .153 .029 .125 .008 .000 .039 .273 .484 .398 .161 .045 .151 r_peak,r_snr = .186713 8.42795 Correlation Surface of oversamples image at 346 5846 .397 .620 .748 .796 .790 .688 .502 .258 .062 .389 .623 .786 .875 .880 .759 .544 .278 .071 .371 .612 .808 .934 .947 .811 .575 .294 .080 .347 .589 .814 .972 .988 .840 .592 .303 .087 .317 .556 .802 .982 1.000 .846 .593 .305 .092 .281 .511 .767 .963 .984 .831 .580 .299 .094 .242 .458 .715 .920 .946 .801 .558 .289 .094 .208 .408 .661 .870 .904 .769 .535 .280 .096 .177 .362 .606 .815 .857 .732 .508 .271 .098 346 -.219 5846 -.969 8.42795 .051596 1.141233 -.145268 Correlation Surface at 446 5846 .016 .022 .205 .788 .751 .274 .195 .203 .144 .019 .021 .242 .898 .830 .267 .171 .205 .161 .017 .014 .254 .977 .916 .267 .144 .208 .187 .009 .005 .231 .991 .981 .282 .125 .209 .213 .002 .000 .188 .940 1.000 .312 .116 .195 .226 .000 .001 .148 .855 .971 .347 .109 .161 .215 .000 .001 .122 .757 .898 .368 .094 .110 .176 .000 .000 .111 .665 .804 .361 .071 .061 .122 .001 .001 .109 .590 .718 .332 .047 .029 .075 r_peak,r_snr = .2737949 6.66947 Correlation Surface of oversamples image at 446 5846 .048 .231 .627 .950 .900 .558 .236 .087 .054 .044 .223 .625 .975 .948 .603 .259 .092 .049 .038 .209 .611 .984 .983 .643 .285 .101 .048 .030 .190 .586 .975 1.000 .676 .314 .115 .051 .022 .168 .553 .951 1.000 .702 .345 .133 .057 .015 .145 .513 .912 .985 .720 .377 .157 .066 .010 .125 .471 .862 .955 .728 .410 .186 .080 .007 .110 .433 .811 .920 .733 .445 .222 .098 .006 .099 .400 .760 .881 .734 .478 .258 .118 446 .281 5846 2.469 6.66947 .016188 1.857383 -.133534 Correlation Surface at 546 5846 .019 .046 .049 .153 .341 .504 .450 .119 .044 .002 .035 .048 .251 .552 .597 .350 .065 .040 .001 .027 .046 .372 .784 .670 .258 .030 .040 .004 .019 .047 .492 .957 .692 .189 .015 .046 .008 .016 .056 .589 1.000 .665 .153 .012 .064 .009 .018 .080 .643 .912 .610 .152 .021 .099 .007 .031 .121 .639 .749 .553 .181 .048 .154 .003 .062 .172 .577 .583 .513 .225 .096 .226 .000 .120 .219 .481 .457 .489 .267 .153 .288 r_peak,r_snr = .2361301 5.59899 Correlation Surface of oversamples image at 546 5846 .066 .120 .337 .646 .815 .806 .680 .465 .215 .056 .135 .399 .743 .906 .854 .667 .407 .155 .049 .148 .452 .819 .966 .869 .631 .345 .106 .046 .167 .507 .882 1.000 .858 .584 .287 .069 .047 .190 .556 .921 1.000 .821 .530 .237 .044 .051 .210 .585 .922 .959 .756 .467 .194 .027 .057 .229 .599 .896 .893 .678 .408 .162 .018 .073 .258 .616 .868 .831 .615 .370 .148 .015 .094 .289 .624 .827 .764 .561 .347 .146 .017 546 -.094 5846 -3.156 5.59899 .014736 .342164 .035442 Correlation Surface at 646 5846 .099 .227 .238 .350 .567 .393 .153 .082 .159 .069 .191 .190 .384 .706 .516 .208 .109 .191 .044 .160 .164 .433 .858 .663 .277 .141 .225 .026 .134 .153 .482 .974 .790 .342 .177 .248 .016 .116 .150 .508 1.000 .845 .383 .211 .255 .011 .108 .148 .487 .907 .804 .383 .244 .250 .011 .111 .139 .407 .715 .681 .348 .274 .244 .017 .121 .120 .284 .488 .524 .301 .302 .242 r_peak,r_snr = .2697648 3.63209 Correlation Surface of oversamples image at 646 5846 .176 .328 .557 .718 .702 .554 .376 .232 .159 .168 .336 .596 .796 .805 .655 .454 .283 .190 .162 .343 .628 .861 .896 .748 .527 .330 .220 .157 .345 .647 .903 .966 .825 .590 .373 .248 .148 .337 .643 .913 1.000 .874 .632 .403 .272 .135 .315 .610 .881 .988 .881 .644 .414 .286 .121 .284 .555 .815 .937 .854 .629 .409 .294 .109 .251 .490 .735 .871 .812 .604 .401 .304 .094 .211 .413 .638 .785 .752 .565 .386 .312 646 .438 5846 11.094 3.63209 .010207 .264701 -.000924 Correlation Surface at 746 5846 .028 .003 .243 .805 .774 .361 .015 .022 .012 .044 .001 .255 .862 .842 .388 .015 .012 .023 .051 .000 .237 .864 .904 .429 .017 .005 .030 .048 .000 .195 .803 .962 .483 .021 .002 .034 .037 .000 .139 .699 1.000 .534 .028 .000 .034 .023 .001 .088 .587 .992 .563 .040 .000 .032 .011 .002 .056 .492 .920 .553 .057 .001 .032 .004 .003 .042 .421 .795 .503 .077 .007 .039 .001 .004 .041 .374 .647 .432 .099 .021 .055 r_peak,r_snr = .2352569 10.27511 Correlation Surface of oversamples image at 746 5846 .120 .413 .741 .923 .914 .725 .425 .155 .019 .101 .372 .702 .918 .945 .767 .453 .165 .022 .082 .328 .659 .908 .973 .809 .482 .177 .025 .064 .284 .611 .891 .995 .846 .508 .188 .028 .046 .238 .558 .862 1.000 .865 .522 .195 .031 .031 .195 .503 .824 .988 .865 .523 .197 .033 .021 .163 .458 .789 .969 .852 .517 .199 .037 .015 .139 .422 .754 .937 .824 .500 .198 .041 .010 .118 .383 .705 .879 .765 .462 .186 .043 746 .000 5846 1.375 10.27512 .060125 4.012656 -.446410 Correlation Surface at 846 5846 .058 .325 .629 .764 .802 .544 .174 .036 .089 .074 .326 .605 .763 .853 .577 .193 .034 .086 .105 .329 .597 .793 .917 .595 .203 .044 .110 .147 .335 .601 .831 .979 .601 .201 .066 .160 .185 .340 .601 .840 1.000 .582 .185 .095 .223 .208 .345 .587 .794 .949 .519 .155 .123 .274 .211 .349 .548 .700 .832 .421 .116 .138 .301 .208 .351 .481 .582 .684 .311 .077 .140 .304 .207 .346 .397 .478 .555 .217 .046 .132 .295 r_peak,r_snr = .2340937 3.41598 Correlation Surface of oversamples image at 846 5846 3.504 3.164 3.335 3.853 4.000 3.415 2.322 1.306 .789 3.268 2.968 3.153 3.721 3.972 3.438 2.361 1.354 .802 3.029 2.770 2.976 3.593 3.924 3.414 2.346 1.350 .776 2.832 2.597 2.819 3.485 3.887 3.411 2.353 1.358 .764 2.665 2.455 2.693 3.405 3.867 3.418 2.355 1.356 .757 846 1.875 5846 6.219 3.41598 .018593 1.024182 .030663 Correlation Surface at 946 5846 .170 .331 .467 .651 .811 .538 .769 .718 .349 .201 .465 .595 .803 .876 .575 .751 .676 .303 .240 .582 .679 .910 .939 .669 .707 .607 .246 .282 .645 .675 .930 .984 .789 .639 .514 .192 .322 .633 .583 .866 1.000 .881 .562 .419 .151 .360 .553 .441 .753 .985 .896 .491 .338 .123 .390 .439 .302 .643 .938 .828 .427 .270 .101 .400 .331 .200 .572 .867 .716 .373 .208 .079 .385 .250 .146 .543 .774 .605 .336 .153 .056 r_peak,r_snr = .2264795 4.35765 Correlation Surface of oversamples image at 946 5846 .398 .437 .526 .734 .933 .862 .619 .517 .633 .439 .480 .575 .791 .972 .866 .615 .526 .649 .472 .513 .613 .833 .998 .870 .623 .547 .666 .492 .529 .628 .848 1.000 .865 .634 .573 .677 .495 .523 .618 .835 .980 .853 .649 .605 .681 .479 .497 .587 .801 .944 .839 .673 .641 .678 .449 .455 .541 .752 .900 .831 .707 .681 .669 .410 .404 .486 .696 .857 .830 .749 .722 .658 946 -.438 5846 -5.781 4.35765 7.432166 78.861961 -24.064737 Correlation Surface at 1046 5846 .083 .037 .004 .162 .285 .253 .236 .146 .058 .060 .032 .002 .362 .516 .409 .409 .205 .018 .031 .016 .033 .617 .774 .588 .545 .215 .001 .007 .001 .097 .816 .966 .741 .587 .179 .008 .002 .009 .168 .853 1.000 .809 .530 .126 .044 .031 .054 .217 .700 .852 .749 .425 .080 .109 .094 .122 .221 .439 .592 .597 .328 .049 .198 .164 .171 .184 .199 .341 .434 .264 .031 .283 .196 .164 .120 .056 .182 .323 .231 .017 .324 r_peak,r_snr = .1589632 7.63233 Correlation Surface of oversamples image at 1046 5846 .013 .118 .301 .485 .604 .554 .380 .284 .280 .020 .145 .365 .602 .756 .686 .461 .330 .308 .028 .166 .414 .696 .883 .796 .529 .363 .317 .039 .184 .449 .762 .970 .875 .579 .385 .315 .051 .195 .461 .783 1.000 .904 .600 .389 .300 .059 .193 .443 .747 .954 .869 .578 .367 .270 .066 .181 .398 .658 .841 .775 .521 .329 .234 .074 .170 .345 .548 .699 .659 .457 .296 .211 .081 .155 .285 .427 .545 .534 .392 .271 .199 1046 -.375 5846 2.969 7.63233 .132301 .431092 -.065073 Correlation Surface at 1146 5846 .009 .044 .002 .092 .786 .332 .005 .026 .085 .057 .004 .005 .196 .891 .205 .001 .036 .156 .106 .002 .025 .352 .975 .103 .023 .028 .183 .124 .008 .075 .523 1.000 .040 .081 .011 .148 .099 .008 .139 .656 .974 .012 .154 .000 .085 .053 .003 .174 .701 .926 .004 .198 .003 .040 .015 .000 .156 .658 .861 .003 .192 .009 .022 .000 .006 .102 .558 .764 .007 .150 .011 .020 r_peak,r_snr = .1046937 8.28182 Correlation Surface of oversamples image at 1146 5846 .012 .053 1.015 3.082 4.000 2.521 .849 .245 .132 .007 .102 1.169 3.037 3.499 1.914 .548 .150 .117 .000 .201 1.379 3.008 3.025 1.398 .315 .073 .094 .013 .354 1.622 3.001 2.626 1.004 .156 .021 .063 .065 .550 1.867 2.992 2.287 .707 .056 .000 .028 1146 3.406 5846 -15.813 8.28182 .417505 40.275303 4.043643 Correlation Surface at 1246 5846 .588 .775 .779 .814 .885 .737 .428 .299 .211 .612 .770 .767 .846 .927 .742 .440 .301 .191 .633 .763 .755 .890 .968 .740 .452 .304 .171 .651 .755 .745 .937 .995 .731 .467 .311 .154 .665 .746 .737 .970 1.000 .716 .485 .323 .143 .672 .732 .727 .981 .977 .693 .500 .338 .138 .669 .709 .714 .972 .936 .664 .509 .354 .139 .659 .678 .700 .952 .896 .638 .511 .367 .144 .643 .643 .685 .928 .870 .620 .506 .376 .151 r_peak,r_snr = .4620999 3.23129 Correlation Surface of oversamples image at 1246 5846 .751 .764 .838 .940 .994 .956 .832 .657 .493 .737 .751 .834 .942 .995 .951 .824 .654 .498 .726 .742 .832 .946 .997 .948 .819 .655 .507 .716 .735 .833 .951 1.000 .945 .817 .658 .518 .705 .726 .831 .954 1.000 .940 .812 .660 .527 .693 .718 .829 .955 .998 .934 .807 .659 .533 .683 .712 .830 .958 .997 .930 .803 .660 .540 .674 .709 .832 .960 .997 .927 .800 .660 .544 .664 .703 .829 .957 .990 .919 .793 .654 .543 1246 .406 5846 8.438 3.23129 .014303 1.018733 .072730 Correlation Surface at 1346 5846 .169 .273 .284 .407 .816 .497 .204 .016 .000 .125 .194 .224 .426 .867 .552 .267 .035 .003 .096 .137 .188 .471 .919 .617 .311 .050 .004 .083 .107 .183 .543 .968 .660 .314 .054 .003 .079 .100 .205 .630 1.000 .648 .276 .049 .002 .079 .108 .249 .704 .981 .573 .215 .038 .001 .081 .127 .299 .731 .888 .455 .150 .026 .002 .083 .149 .339 .699 .746 .328 .097 .015 .004 .081 .167 .354 .623 .599 .223 .060 .008 .007 r_peak,r_snr = .2279365 5.88198 Correlation Surface of oversamples image at 1346 5846 .189 .318 .568 .846 .955 .835 .626 .412 .231 .175 .320 .591 .876 .973 .840 .629 .422 .245 .169 .330 .620 .908 .989 .837 .623 .423 .255 .170 .345 .651 .939 .997 .825 .605 .414 .257 .177 .365 .683 .967 1.000 .805 .579 .396 .254 .190 .389 .713 .988 .996 .780 .548 .374 .249 .207 .415 .738 .998 .981 .746 .510 .348 .241 .226 .438 .752 .991 .948 .699 .464 .315 .227 .247 .459 .756 .967 .899 .642 .415 .281 .210 1346 .781 5846 -4.719 5.88198 .044705 2.978760 .308603 Correlation Surface at 1446 5846 .646 .655 .748 .781 .821 .829 .537 .389 .329 .657 .635 .682 .709 .881 .894 .596 .430 .326 .676 .617 .602 .631 .936 .946 .661 .465 .306 .709 .605 .529 .573 .978 .971 .715 .487 .277 .742 .590 .474 .547 1.000 .957 .734 .488 .245 .758 .568 .441 .550 .994 .899 .698 .465 .217 .748 .544 .433 .575 .953 .800 .613 .425 .198 .707 .520 .444 .605 .876 .672 .508 .385 .195 .638 .502 .473 .626 .773 .546 .418 .359 .209 r_peak,r_snr = .3456289 2.75612 Correlation Surface of oversamples image at 1446 5846 2.634 2.818 3.147 3.656 4.000 3.749 3.214 2.811 2.479 2.704 2.806 3.022 3.425 3.683 3.404 2.959 2.693 2.461 2.772 2.792 2.894 3.173 3.335 3.049 2.725 2.608 2.472 2.850 2.784 2.770 2.919 2.980 2.707 2.519 2.549 2.501 2.919 2.765 2.639 2.659 2.629 2.390 2.346 2.515 2.539 1446 1.438 5846 -9.813 2.75612 .009726 2.303912 .047045 Correlation Surface at 1546 5846 .005 .005 .082 .344 .784 .880 .491 .329 .335 .008 .006 .091 .372 .851 .932 .511 .327 .308 .009 .007 .103 .407 .923 .963 .511 .313 .271 .008 .011 .116 .446 .981 .960 .493 .291 .229 .005 .015 .127 .476 1.000 .916 .464 .266 .189 .003 .020 .132 .488 .963 .838 .435 .244 .160 .002 .022 .132 .477 .880 .749 .413 .233 .148 .002 .024 .129 .450 .781 .674 .405 .237 .154 .002 .025 .127 .420 .695 .631 .410 .256 .182 r_peak,r_snr = .4477302 5.70486 Correlation Surface of oversamples image at 1546 5846 .204 .356 .567 .797 .934 .873 .652 .426 .286 .216 .373 .593 .830 .964 .889 .655 .425 .285 .228 .391 .619 .860 .986 .894 .652 .422 .283 .241 .411 .645 .886 .998 .890 .642 .416 .279 .255 .430 .669 .904 1.000 .876 .627 .408 .274 .268 .448 .689 .914 .990 .854 .609 .400 .270 .279 .462 .701 .913 .969 .824 .589 .391 .266 .285 .469 .705 .900 .938 .790 .568 .384 .263 .289 .472 .700 .879 .902 .756 .549 .379 .263 1546 .500 5846 4.219 5.70486 .004703 .288751 .020864 Correlation Surface at 1646 5846 .059 .004 .020 .112 .529 .240 .015 .023 .050 .063 .000 .004 .164 .695 .209 .007 .033 .041 .074 .016 .001 .274 .867 .148 .001 .033 .029 .085 .058 .002 .445 .983 .086 .000 .023 .015 .092 .097 .012 .632 1.000 .045 .000 .012 .003 .098 .105 .033 .747 .899 .027 .002 .007 .000 .099 .079 .053 .715 .710 .028 .017 .007 .000 .091 .041 .055 .554 .495 .042 .051 .013 .004 .069 .012 .040 .362 .320 .068 .097 .030 .029 r_peak,r_snr = .1381687 10.7046 Correlation Surface of oversamples image at 1646 5846 .000 .023 .130 .420 .795 .870 .564 .203 .054 .000 .022 .143 .470 .879 .923 .555 .178 .041 .001 .025 .164 .523 .950 .955 .537 .156 .034 .001 .032 .189 .571 .997 .959 .507 .138 .031 .000 .039 .208 .596 1.000 .921 .461 .121 .031 .000 .046 .220 .594 .958 .847 .406 .107 .032 .000 .058 .234 .583 .896 .763 .360 .104 .041 .003 .073 .244 .555 .811 .671 .321 .109 .058 .006 .078 .228 .487 .683 .551 .270 .107 .071 1646 -.281 5846 5.125 10.70460 .020331 1.694821 .145497 Correlation Surface at 1846 5846 .615 .669 .759 .895 .890 .943 .876 .891 .961 .619 .677 .749 .899 .944 .964 .888 .919 .960 .639 .686 .734 .902 .985 .960 .891 .930 .941 .665 .688 .719 .906 1.000 .939 .888 .922 .913 .686 .680 .709 .909 .985 .914 .879 .898 .884 .700 .670 .714 .904 .951 .897 .868 .867 .866 .703 .666 .732 .886 .906 .886 .854 .835 .862 .703 .678 .754 .855 .857 .874 .833 .809 .869 r_peak,r_snr = .5530256 1.31871 Correlation Surface of oversamples image at 1846 5846 .866 .928 .963 .965 .959 .953 .946 .896 .804 .868 .925 .962 .975 .977 .965 .944 .888 .803 .864 .916 .958 .984 .990 .968 .934 .876 .800 .856 .905 .955 .992 .998 .964 .917 .861 .799 .847 .897 .954 .998 1.000 .951 .896 .846 .799 .838 .889 .951 .999 .994 .932 .871 .832 .800 .829 .880 .946 .993 .978 .906 .845 .818 .801 .821 .872 .937 .979 .954 .876 .821 .808 .802 .819 .868 .927 .960 .927 .848 .801 .802 .805 1846 .719 5846 -12.188 1.31871 .021920 .433410 .043055 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .3285545 13.99504 246 -.063 3046 -.219 13.99504 .002588 .085017 .002516 r_peak,r_snr = .2568533 18.1362 346 .094 3046 .406 18.13620 .003535 .202426 .007055 r_peak,r_snr = .3338646 4.36456 446 -.031 3046 -.813 4.36456 .008214 .242790 .023191 r_peak,r_snr = .5735698 5.05786 546 .281 3046 .813 5.05786 .001946 .239773 -.009285 r_peak,r_snr = .5287774 7.95479 646 .156 3046 .125 7.95479 .001119 .073333 .002849 r_peak,r_snr = .1865146 4.38026 746 -9.656 3046 5.875 4.38026 .036371 1.890783 .144305 r_peak,r_snr = .1788102 7.40809 846 -.875 3046 .750 7.40809 .837164 13.833023 3.289512 r_peak,r_snr = .4127399 12.75221 946 .063 3046 1.813 12.75221 .001590 .180774 .000513 r_peak,r_snr = .1844826 3.47299 1046 -14.313 3046 7.313 3.47299 .011334 .476270 .025383 r_peak,r_snr = .2240683 7.96919 1146 -.344 3046 .719 7.96919 .016993 1.446007 .121173 r_peak,r_snr = .5869414 9.60325 1246 .063 3046 -.625 9.60325 .000828 .078853 .000368 r_peak,r_snr = .1769859 4.74282 1346 11.906 3046 14.344 4.74282 .037833 .684108 -.019746 r_peak,r_snr = .1365139 4.23 1746 -6.250 3046 2.813 4.23000 .825897 260.776489 14.576889 r_peak,r_snr = .3225687 2.68834 1846 -.875 3046 3.219 2.68834 .015029 1.381789 .018325 At line = 3400 Reading in data.... r_peak,r_snr = .2158672 8.58919 146 .000 3446 -.125 8.58919 .003278 .326042 .002487 r_peak,r_snr = .3802998 15.54903 246 .063 3446 .281 15.54904 .001766 .143258 .005702 r_peak,r_snr = .6627165 3.1694 346 .000 3446 -.125 3.16940 .000984 .043407 .001190 r_peak,r_snr = 4.92756E-02 .3406552 446 2.563 3446 .219 .34066 .008718 .584566 -.005744 r_peak,r_snr = .2875201 18.09302 546 .063 3446 .094 18.09303 .002249 .102829 .003350 r_peak,r_snr = .4883692 7.14085 646 .000 3446 -.250 7.14085 .001623 .103676 .000348 r_peak,r_snr = .1343104 4.78153 746 3.875 3446 1.813 4.78153 .009032 15.407894 .022173 r_peak,r_snr = .156912 5.46186 946 .094 3446 -1.188 5.46186 .009821 .793904 .022897 r_peak,r_snr = .1538865 6.87711 1046 .594 3446 .563 6.87711 .042584 1.400497 -.047392 r_peak,r_snr = .4071173 3.09929 1146 -5.188 3446 14.469 3.09929 .007608 .256663 .010071 r_peak,r_snr = .2985842 7.93342 1246 .094 3446 -12.750 7.93342 .002967 .984317 .005582 r_peak,r_snr = .5564639 2.64855 1446 -.313 3446 -1.750 2.64855 .009827 .659690 -.057517 r_peak,r_snr = .3146642 6.00862 1546 .156 3446 -1.781 6.00862 .005199 .444345 .001796 r_peak,r_snr = .3887414 6.11106 1646 -.375 3446 2.688 6.11106 .004909 .231697 .017351 r_peak,r_snr = .1181001 7.95225 1746 -5.500 3446 12.281 7.95225 .030606 4.961646 -.082456 r_peak,r_snr = .3571002 5.81807 1846 -.438 3446 -.719 5.81807 .005763 .146972 .000305 r_peak,r_snr = .1078364 4.08684 1946 15.750 3446 17.844 4.08684 .033434 2.226914 .083506 At line = 3800 Reading in data.... r_peak,r_snr = .259573 12.51613 146 -.281 3846 .906 12.51613 .003392 .144310 .006386 r_peak,r_snr = .6095799 10.09488 246 .063 3846 -.156 10.09488 .000670 .106471 .001356 r_peak,r_snr = .6000892 2.83473 346 -.313 3846 -.219 2.83473 .002754 .154809 .010578 r_peak,r_snr = .1933447 15.02223 446 -.313 3846 .094 15.02223 .009997 .112265 .009152 r_peak,r_snr = .1716261 8.76248 546 .094 3846 .438 8.76248 .005541 .278962 .012522 r_peak,r_snr = .3164388 8.84868 646 .031 3846 2.781 8.84868 .004302 .366852 -.003963 r_peak,r_snr = .2321146 6.19197 846 .500 3846 .719 6.19197 .019921 2.317377 .098523 r_peak,r_snr = .1502732 8.84649 946 .594 3846 -10.188 8.84649 2.229744 84.302559 13.652979 r_peak,r_snr = .2102064 5.1381 1046 .969 3846 -5.750 5.13810 .022812 .693072 .072741 r_peak,r_snr = .1989674 4.70481 1146 -.375 3846 .188 4.70481 .006913 .605444 -.017443 r_peak,r_snr = .4559074 9.92523 1246 -.594 3846 -2.781 9.92523 .001687 .246021 -.007422 r_peak,r_snr = .2433553 5.45456 1346 .188 3846 -.781 5.45456 .006810 .388419 .026202 r_peak,r_snr = .4545405 1.57361 1546 4.281 3846 -15.781 1.57361 .012266 1.164735 .085420 r_peak,r_snr = .5265235 2.03934 1646 .000 3846 1.219 2.03934 .007035 .966302 .018419 r_peak,r_snr = .1968896 9.80449 1746 .500 3846 -.938 9.80449 .053901 2.911272 -.334988 r_peak,r_snr = .3276382 3.273 1846 -.125 3846 -.094 3.27300 .005048 .314024 .008353 r_peak,r_snr = .1140176 6.18362 1946 -1.875 3846 .219 6.18362 .034031 .663581 .070414 At line = 4200 Reading in data.... r_peak,r_snr = .3335812 14.42877 146 .156 4246 -.250 14.42877 .003208 .072797 .000512 r_peak,r_snr = .2306816 17.69244 246 -.094 4246 .813 17.69244 .002836 .325202 .004310 r_peak,r_snr = .2646814 10.96385 346 .250 4246 .875 10.96385 .006162 .307485 .014325 r_peak,r_snr = .4332137 14.74743 446 -.063 4246 .531 14.74744 .001324 .126787 -.000170 r_peak,r_snr = 9.44692E-02 5.63466 546 1.094 4246 13.813 5.63466 .033860 1.984658 .201781 r_peak,r_snr = .3298973 9.92619 646 .250 4246 .063 9.92619 .002854 .711045 .017625 r_peak,r_snr = .226217 11.06948 746 -.188 4246 -.719 11.06949 .004362 .506485 .011608 r_peak,r_snr = .2343472 10.26264 946 .188 4246 -.688 10.26264 .004229 1.275989 -.008466 r_peak,r_snr = .172965 6.02146 1046 -.500 4246 9.813 6.02146 .043351 2.444041 .292916 r_peak,r_snr = .4585962 5.02286 1246 -.406 4246 3.781 5.02286 .004455 2.374069 .041342 r_peak,r_snr = .1473729 4.34748 1546 -9.469 4246 5.750 4.34748 .025977 1.659677 .087360 r_peak,r_snr = .4435185 3.92696 1646 -.219 4246 -.188 3.92696 .004126 .227968 -.002034 r_peak,r_snr = .3500369 4.54047 1746 -.250 4246 .406 4.54047 .003487 .395818 .007769 r_peak,r_snr = .2889286 7.48687 2046 .656 4246 1.781 7.48687 .004607 .498587 -.017862 At line = 4600 Reading in data.... r_peak,r_snr = .3109418 17.49844 146 .156 4646 -.188 17.49845 .002398 .083409 .001935 r_peak,r_snr = .2447457 15.19047 246 .219 4646 13.781 15.19047 .007310 .628130 -.034709 r_peak,r_snr = .288464 3.84772 346 -6.344 4646 12.156 3.84772 .024591 .669619 -.002156 r_peak,r_snr = .3160304 16.35193 446 .031 4646 -.781 16.35194 .003445 .114587 .008531 r_peak,r_snr = .1452208 6.15251 546 -.344 4646 5.813 6.15251 .242186 4.903834 1.059878 r_peak,r_snr = .2728808 19.20376 646 .375 4646 .938 19.20376 .002803 .071422 .002676 r_peak,r_snr = .2874712 11.23965 746 -.344 4646 -.125 11.23965 .004816 .207522 .013893 r_peak,r_snr = .2281984 12.04937 846 .000 4646 11.156 12.04937 .019022 .694294 -.070476 r_peak,r_snr = .1511836 6.9747 946 .563 4646 -9.563 6.97470 .024372 .925601 -.030305 r_peak,r_snr = .2796437 9.18652 1146 .094 4646 -12.875 9.18652 .006003 6.710660 .036567 r_peak,r_snr = .3664924 5.59622 1246 -.563 4646 -.094 5.59622 .007630 .291198 .014537 r_peak,r_snr = .1203044 8.12041 1346 -2.813 4646 11.250 8.12041 .027157 .443375 .015120 r_peak,r_snr = .1941841 3.19023 1446 -13.438 4646 -13.781 3.19023 .023095 1.399326 .072561 r_peak,r_snr = .506419 1.46308 1646 3.844 4646 -9.188 1.46308 .014978 5.673380 .120735 r_peak,r_snr = .6817689 2.04002 1746 .125 4646 1.938 2.04002 .001958 .106723 .003707 r_peak,r_snr = 6.82179E-02 .9133625 1846 -1.500 4646 -9.188 .91336 .067355 23.652384 1.071001 r_peak,r_snr = .1210605 9.33474 1946 13.000 4646 7.156 9.33474 .009899 .458320 .009462 r_peak,r_snr = .380248 2.77834 2046 .313 4646 -.031 2.77834 .006205 1.289700 .018128 At line = 5000 Reading in data.... r_peak,r_snr = .3094697 20.34687 146 .063 5046 .906 20.34687 .002651 .133727 -.002779 r_peak,r_snr = .3474963 5.93096 246 -.031 5046 .656 5.93096 .003082 .144382 -.000853 r_peak,r_snr = .3954665 11.991 346 -.094 5046 .125 11.99101 .002205 .094999 .001875 r_peak,r_snr = .1955589 7.4796 446 -.438 5046 .781 7.47960 .013138 1.057378 -.066231 r_peak,r_snr = .2054546 10.83645 546 -.094 5046 -.781 10.83646 .004357 .278596 .005558 r_peak,r_snr = .1668096 10.33949 646 -.469 5046 1.344 10.33949 .009151 .375348 .002055 r_peak,r_snr = .2332843 10.74603 746 -.031 5046 .031 10.74604 .010037 1.042361 -.064539 r_peak,r_snr = .1013456 1.72489 846 -.438 5046 -9.250 1.72489 .037858 1.918450 .208962 r_peak,r_snr = .3195813 6.45626 946 .469 5046 -.813 6.45626 .005978 .372636 .022557 r_peak,r_snr = .2083071 6.52575 1146 .063 5046 .281 6.52575 .022830 .487206 .012051 r_peak,r_snr = .2833479 7.30258 1246 -.250 5046 .281 7.30258 .014818 .311161 .044474 r_peak,r_snr = .4176755 3.15457 1346 -.031 5046 .719 3.15457 .003327 .261064 .008159 r_peak,r_snr = .1340025 4.97874 1446 -5.969 5046 -6.250 4.97874 .016271 2.535275 .085899 r_peak,r_snr = .2990606 2.7979 1546 -4.375 5046 8.344 2.79790 .015682 .824609 .057901 r_peak,r_snr = .2438243 11.64357 1646 -.625 5046 -1.781 11.64357 .012964 .574998 -.055989 r_peak,r_snr = .4372128 5.55556 1746 .594 5046 4.781 5.55556 .005420 1.997750 -.047815 r_peak,r_snr = .3192699 4.64735 1846 -.625 5046 2.406 4.64735 .109704 10.675097 1.012984 r_peak,r_snr = 9.37714E-02 7.22061 1946 2.813 5046 -9.156 7.22061 .032196 5.276256 -.193584 At line = 5400 Reading in data.... r_peak,r_snr = .3645819 15.99481 146 .063 5446 -.344 15.99481 .001979 .097833 .002915 r_peak,r_snr = .1468342 5.08215 246 .219 5446 -.750 5.08215 .007916 .278535 -.005738 r_peak,r_snr = .2344943 14.52423 346 -.156 5446 .125 14.52424 .002786 .215360 -.001185 r_peak,r_snr = .4416888 8.51491 446 .094 5446 2.781 8.51491 .007941 1.602635 -.099460 r_peak,r_snr = .2039561 3.49596 546 -9.531 5446 2.781 3.49596 .046867 .951432 -.136846 r_peak,r_snr = .4377607 5.91368 646 .000 5446 .031 5.91368 .002520 .155642 -.001855 r_peak,r_snr = .2822606 11.45397 846 -.063 5446 .781 11.45398 .002398 .466452 .006340 r_peak,r_snr = .2904157 5.80165 946 -1.000 5446 -8.813 5.80165 .019290 10.453444 -.280650 r_peak,r_snr = .3139002 2.36422 1046 2.938 5446 -7.750 2.36422 .008147 .466101 -.005936 r_peak,r_snr = .2201218 8.16988 1146 -.250 5446 5.188 8.16988 .006234 .907559 .024459 r_peak,r_snr = .3928921 3.42646 1246 -.156 5446 -1.188 3.42646 .003069 .758874 .006752 r_peak,r_snr = .2616716 3.79449 1346 -1.344 5446 -2.813 3.79449 .052181 .679623 .059759 r_peak,r_snr = .2574492 3.73781 1446 -2.656 5446 2.188 3.73781 23.971483 845.041016 ********** r_peak,r_snr = .2240145 5.31054 1546 -.406 5446 -4.781 5.31054 .014462 2.742670 -.154239 r_peak,r_snr = .1574652 4.39839 1646 -5.844 5446 17.813 4.39839 .038433 6.060318 -.375275 r_peak,r_snr = .4087989 7.91646 1846 -.031 5446 .219 7.91646 .001915 .129298 .004186 r_peak,r_snr = .4581455 10.97211 1946 .219 5446 -.750 10.97212 .001217 .063653 .001157 r_peak,r_snr = .3185543 6.17093 2046 2.781 5446 -11.250 6.17093 .006531 .350007 .004558 At line = 5800 Reading in data.... r_peak,r_snr = .3664042 9.20812 146 -.063 5846 .313 9.20812 .002560 .071987 .004346 r_peak,r_snr = .2777172 2.7932 246 -.188 5846 -.719 2.79320 .007626 .220012 -.002851 r_peak,r_snr = .3466005 18.6049 346 .250 5846 .156 18.60491 .002248 .080697 .005197 r_peak,r_snr = .4747181 11.40968 446 -.031 5846 -.156 11.40969 .001519 .291559 .004883 r_peak,r_snr = .2428233 9.97051 546 .031 5846 1.219 9.97051 .004967 .273220 .014590 r_peak,r_snr = .3036279 20.26111 646 .063 5846 .469 20.26112 .001905 .108652 .000229 r_peak,r_snr = .1784195 7.57812 746 -2.031 5846 4.844 7.57812 .052298 1.674910 .240124 r_peak,r_snr = .2080511 12.13107 846 .281 5846 -1.563 12.13107 .007543 .241659 .006863 r_peak,r_snr = .2081172 9.23216 946 -.281 5846 -.688 9.23216 .008852 .960900 -.002831 r_peak,r_snr = .1959972 4.67135 1046 1.594 5846 1.250 4.67135 .051538 1.277631 -.090944 r_peak,r_snr = .1292954 7.15874 1146 2.438 5846 -12.750 7.15874 .053524 2.833115 .288995 r_peak,r_snr = .4358314 3.85319 1246 .000 5846 .094 3.85319 .008021 .772276 .005168 r_peak,r_snr = .330161 13.17058 1346 .063 5846 -.250 13.17059 .002465 .108670 .005504 r_peak,r_snr = .2405387 5.14337 1446 -1.906 5846 4.219 5.14337 .015025 1.696857 .104067 r_peak,r_snr = .4510746 6.01284 1546 .125 5846 -.813 6.01284 .002558 .305714 .013884 r_peak,r_snr = .2424863 16.01856 1646 -.094 5846 1.281 16.01856 .003983 .277421 -.006505 r_peak,r_snr = .1188456 12.34516 1746 -5.125 5846 .781 12.34517 .009558 .439927 -.011388 r_peak,r_snr = .1997981 5.21851 2046 10.969 5846 -12.719 5.21851 .038890 2.729691 -.175665 ************************************************* ***** 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 94047 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 94047 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 94047 FOUND CALIB SET 94047 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: 27.2 -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: 27.20 deg Receiver phase difference is -34.90 deg Transmitter phase difference is -7.70 deg Cable phase difference is 139.46 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 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 1100 Fri May 1 02:00:37 PDT 1998