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 Wed May 6 12:05:59 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: - - - - - - - - - - - - - - - - - - - - - Rolled out early due to autopilot problem -- will re-fly it; a lm air; using same RX gain and range gate as previous runs here f is about 1min off in lat and loneneralnrcast at CPA, very h zyobrick, Timothy William Millermothy 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: 94033 94033 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5284 prod ID1:*5284*5284* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94033 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 3.30 24 5 7 4 12 14 >> 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 = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 3.30 24 5 7 4 12 14 Done decoding data from header array... Data collected on ==> 11-JUN-1994 Starting and end GPS times for SAR data -175361538.0640 -175361488.5790 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 lati 53.89866 53.85412 53.94339 .0258101 0 loni -104.59653 -104.62297 -104.57027 .0152483 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7954.52979 7977.93018 7.0311796 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 19944 GPS time for first pulse = -175361538.062309 -175361538.064 GPS trend coefficients = 11.29828229684255 -19.5722586745192 -4.48008073919122 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 delx .25719 .25718 .25721 .0000120 0 lati 53.89866 53.85412 53.94304 .0258092 0 loni -104.59653 -104.62280 -104.57027 .0152478 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7964.24233 7968.05035 1.0432869 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 .00669 -.21266 .20231 .0786245 0 ca -.00325 -.15979 .15622 .0404518 0 aa -.03707 -.10017 .02027 .0216239 0 Average Barometric Altitude = 7936.857697500017 Average Radar Altitude = 7507.501653750039 Average GPS Altitude = 7965.849633026064 >>Record # : 64 >>GPS Stuff = 3.30 24 5 7 4 1 >>Record # : 40960 >>GPS Stuff = 3.30 24 5 7 4 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.446941071724495E-04 Standard deviation of difference = 7.050573044053900E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9016914 -104.5469360 7965.189 End position = 53.9479675 -104.5741043 7964.792 Loxodromic Heading (deg) = -19.1119199 Loxodromic Distance (km) = 5451.1592139 Geodesic Heading (deg) = -19.1009437 Geodesic Distance (km) = 5451.1591505 Peg latitude and longitude = 53.9257660 -104.5610962 Peg heading = -19.0658945 Rotation matrix First row = -.148039801 -.124105209 -.981163653 Second row = -.569919690 .821504978 -.017919793 Third row = .808254765 .556531642 -.192345436 Translation vector Vector = -1971.17712 -7588.58528 -23824.24747 Local Radius of Curvature = 6378814.405699334 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2616245587087205 Delta s on reference surface = .2616245599050372 Making fits... Vertical fit coefficients = 7966.556358552832 -6.956072162097371E-03 1.189821052051343E-03 Cross track fit coefficients = -5.05776324164515 5.659803640047484E-02 4.776805431252863E-04 Along track fit coefficients = -5390.0690037384 218.1703159889581 1.213324050638586E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3549.369570863321 Time orgin = -175361538.062309 Pulse spacing = .2571928285585597 First frame = 20894191 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/cm5284_c.par Enter the raw data file name. /data1/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5284_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hh.dat Enter histogram of the caltone phase file name: /data1/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): (405.1074,.0) (-87.3761,.0) (309.788,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 881235.6 Pulse#/64: 65 1073 330688.6 Pulse#/64: 129 1073 783512.6 Pulse#/64: 193 1073 345411.3 Pulse#/64: 257 1073 695136.5 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.35142Power RMS: 2.64709 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 770.5548Amp. RMS: 230.9978 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -43.4058Phase RMS: 253.5252 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.34313 CalTone Power Coherently dB : 57.35142 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.34313 Incoherent PW - Coherent PW : 35.99171 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 46336.53 CalTone Amplitude Coherently : 770.5548 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 45565.97 ------------ *** ------------ running time (sec): 81.77 ********** 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/cm5284_c.par Enter the raw data file name. /data1/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5284_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hv.dat Enter histogram of the caltone phase file name: /data1/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): (175.1671,.0) (127.3943,.0) (-115.451,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 610468.1 Pulse#/64: 65 1073 425860.3 Pulse#/64: 129 1073 631317.4 Pulse#/64: 193 1073 744639.2 Pulse#/64: 257 1073 362324.0 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.71983Power RMS: 1.8826 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 787.1076Amp. RMS: 180.9772 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -66.2401Phase RMS: 259.9904 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.79982 CalTone Power Coherently dB : 57.71983 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.79982 Incoherent PW - Coherent PW : 36.07999 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 48989.03 CalTone Amplitude Coherently : 787.1076 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 48201.92 ------------ *** ------------ running time (sec): 64.22 ********** 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/cm5284_c.par Enter the raw data file name. /data1/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5284_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vh.dat Enter histogram of the caltone phase file name: /data1/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): (-187.11,.0) (-99.5268,.0) (290.6182,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 589193.7 Pulse#/64: 65 1073 320101.4 Pulse#/64: 129 1073 316378.4 Pulse#/64: 193 1073 567308.5 Pulse#/64: 257 1073 410590.2 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.31225Power RMS: 1.73212 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 749.0726Amp. RMS: 165.0145 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 35.37566Phase RMS: 277.888 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.30683 CalTone Power Coherently dB : 57.31225 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.30683 Incoherent PW - Coherent PW : 35.99458 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 46303.6 CalTone Amplitude Coherently : 749.0726 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 45554.52 ------------ *** ------------ running time (sec): 65.77 ********** 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/cm5284_c.par Enter the raw data file name. /data1/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5284_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vv.dat Enter histogram of the caltone phase file name: /data1/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): (135.0358,.0) (-15.8866,.0) (238.2984,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 1276503. Pulse#/64: 65 1073 949304.0 Pulse#/64: 129 1073 676779.2 Pulse#/64: 193 1073 543303.3 Pulse#/64: 257 1073 1502485. Estimate Caltone : 1157 -----CalTone Estimate Position --- CalTone Bin at : 1157 1073 CalTone Bin offset : -84 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.00807Power RMS: 2.19346 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 820.5545Amp. RMS: 209.1923 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -55.9797Phase RMS: 242.6792 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.99511 CalTone Power Coherently dB : 58.00807 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.99511 Incoherent PW - Coherent PW : 35.98704 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 50095.13 CalTone Amplitude Coherently : 820.5545 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 49274.57 ------------ *** ------------ running time (sec): 66.04 ********** 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: -5.45813 1.79456E-04 z fit: constant and linear terms: -.707215 2.83652E-08 y and z standard deviations (meters) .7514399 .9815763 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 = -.427777 -.433312 -.436816 -.44767 Differences = 8.61698E-03 3.08147E-03 -4.22448E-04 -1.12759E-02 PATCH NUMER 2 First line = 1889 Averages = -.436247 -.445176 -.460092 -.453778 Differences = 1.25763E-02 3.64754E-03 -1.12683E-02 -4.95458E-03 PATCH NUMER 3 First line = 3777 Averages = -.458625 -.455471 -.448101 -.444574 Differences = -6.93205E-03 -3.77813E-03 3.59184E-03 7.11885E-03 PATCH NUMER 4 First line = 5665 Averages = -.448602 -.446461 -.433826 -.433725 Differences = -7.94858E-03 -5.80680E-03 6.82768E-03 6.92829E-03 PATCH NUMER 5 First line = 7553 Averages = -.435436 -.432478 -.437797 -.445845 Differences = 2.45339E-03 5.41106E-03 9.23276E-05 -7.95621E-03 PATCH NUMER 6 First line = 9441 Averages = -.437343 -.445943 -.434241 -.441201 Differences = 2.33907E-03 -6.26063E-03 5.44125E-03 -1.51914E-03 PATCH NUMER 7 First line = 11329 Averages = -.435406 -.439798 -.438958 -.425072 Differences = -5.97358E-04 -4.98945E-03 -4.14911E-03 9.73624E-03 PATCH NUMER 8 First line = 13217 Averages = -.440671 -.427204 -.413707 -.402468 Differences = -1.96572E-02 -6.19072E-03 7.30664E-03 1.85453E-02 PATCH NUMER 9 First line = 15105 Averages = -.415733 -.403995 -.394872 -.395374 Differences = -1.32389E-02 -1.50096E-03 7.62233E-03 7.11957E-03 PATCH NUMER 10 First line = 16993 Averages = -.396127 -.394343 -.40739 -.415307 Differences = 7.16522E-03 8.94865E-03 -4.09803E-03 -1.20147E-02 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5284_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) = 459.1 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_hh Name of the mocomp data file? /data3/airops/cm5284_c.mocomph Output file name? /data3/airops/cm5284_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 = 2.248 Processing 10 blocks Processing block number 1 reference line: 2048 2.248 seconds. Range compression done, time = 62.329 shift in azimuth (fractional pixel)= -.499371 Motion comp. coeff. calculated, time = 62.575 Motion comp. added to patch, time = 110.349 Doppler estimation done, time = 110.349 Azimuth compression starting, time : 110.451 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 312.478 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 321.987 seconds. Range compression done, time = 375.765 shift in azimuth (fractional pixel)= -.499322 Motion comp. coeff. calculated, time = 375.785 Motion comp. added to patch, time = 419.932 Doppler estimation done, time = 419.932 Azimuth compression starting, time : 420.016 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 621.518 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 632.086 seconds. Range compression done, time = 685.850 shift in azimuth (fractional pixel)= -.499301 Motion comp. coeff. calculated, time = 685.871 Motion comp. added to patch, time = 730.039 Doppler estimation done, time = 730.039 Azimuth compression starting, time : 730.124 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 932.069 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 940.570 seconds. Range compression done, time = 994.417 shift in azimuth (fractional pixel)= -.499277 Motion comp. coeff. calculated, time = 994.438 Motion comp. added to patch, time = 1038.854 Doppler estimation done, time = 1038.854 Azimuth compression starting, time : 1038.939 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1240.671 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1251.891 seconds. Range compression done, time = 1305.508 shift in azimuth (fractional pixel)= -.499303 Motion comp. coeff. calculated, time = 1305.528 Motion comp. added to patch, time = 1349.837 Doppler estimation done, time = 1349.837 Azimuth compression starting, time : 1349.921 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1551.578 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1559.989 seconds. Range compression done, time = 1613.915 shift in azimuth (fractional pixel)= -.499313 Motion comp. coeff. calculated, time = 1613.936 Motion comp. added to patch, time = 1657.904 Doppler estimation done, time = 1657.904 Azimuth compression starting, time : 1657.989 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1859.860 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1870.345 seconds. Range compression done, time = 1924.214 shift in azimuth (fractional pixel)= -.499342 Motion comp. coeff. calculated, time = 1924.235 Motion comp. added to patch, time = 1968.532 Doppler estimation done, time = 1968.532 Azimuth compression starting, time : 1968.616 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2171.440 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2179.002 seconds. Range compression done, time = 2233.000 shift in azimuth (fractional pixel)= -.499313 Motion comp. coeff. calculated, time = 2233.020 Motion comp. added to patch, time = 2277.331 Doppler estimation done, time = 2277.331 Azimuth compression starting, time : 2277.416 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2479.177 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2488.233 seconds. Range compression done, time = 2542.216 shift in azimuth (fractional pixel)= -.499276 Motion comp. coeff. calculated, time = 2542.376 Motion comp. added to patch, time = 2586.421 Doppler estimation done, time = 2586.421 Azimuth compression starting, time : 2586.507 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2788.554 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2796.217 seconds. Range compression done, time = 2849.911 shift in azimuth (fractional pixel)= -.499255 Motion comp. coeff. calculated, time = 2849.932 Motion comp. added to patch, time = 2894.259 Doppler estimation done, time = 2894.259 Azimuth compression starting, time : 2894.355 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3096.309 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_c.hh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 1822 -67 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1821 1822 2926 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2925 Processing block number 3 2926 3665 -45 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3664 3665 4769 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4768 Processing block number 4 4769 5571 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5570 5571 6675 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6674 Processing block number 5 6675 7473 14 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7472 7473 8577 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8576 Processing block number 6 8577 9390 29 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9389 9390 10494 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10493 Processing block number 7 10494 11300 22 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11299 11300 12404 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12403 Processing block number 8 116 896 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13183 896 2000 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14287 Processing block number 9 2000 2775 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15062 2775 3879 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16166 Processing block number 10 3879 4030 -24 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16317 4030 5134 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17421 Writing the last 3338 lines Total # of output lines = 20759 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_hv Name of the mocomp data file? /data3/airops/cm5284_c.mocomph Output file name? /data3/airops/cm5284_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 = 2.379 Processing 10 blocks Processing block number 1 reference line: 2048 2.379 seconds. Range compression done, time = 58.705 shift in azimuth (fractional pixel)= -.499371 Motion comp. coeff. calculated, time = 58.725 Motion comp. added to patch, time = 97.738 Doppler estimation done, time = 97.739 Azimuth compression starting, time : 97.812 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 269.632 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 273.339 seconds. Range compression done, time = 326.649 shift in azimuth (fractional pixel)= -.499322 Motion comp. coeff. calculated, time = 326.670 Motion comp. added to patch, time = 364.829 Doppler estimation done, time = 364.829 Azimuth compression starting, time : 364.901 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 543.601 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 553.844 seconds. Range compression done, time = 606.960 shift in azimuth (fractional pixel)= -.499301 Motion comp. coeff. calculated, time = 606.980 Motion comp. added to patch, time = 644.780 Doppler estimation done, time = 644.780 Azimuth compression starting, time : 644.852 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 830.578 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 834.196 seconds. Range compression done, time = 888.400 shift in azimuth (fractional pixel)= -.499277 Motion comp. coeff. calculated, time = 888.421 Motion comp. added to patch, time = 926.423 Doppler estimation done, time = 926.423 Azimuth compression starting, time : 926.496 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1119.004 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1128.798 seconds. Range compression done, time = 1182.493 shift in azimuth (fractional pixel)= -.499303 Motion comp. coeff. calculated, time = 1182.513 Motion comp. added to patch, time = 1220.515 Doppler estimation done, time = 1220.515 Azimuth compression starting, time : 1220.587 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1419.929 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1423.419 seconds. Range compression done, time = 1477.729 shift in azimuth (fractional pixel)= -.499313 Motion comp. coeff. calculated, time = 1477.749 Motion comp. added to patch, time = 1515.548 Doppler estimation done, time = 1515.548 Azimuth compression starting, time : 1515.620 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1721.757 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1734.848 seconds. Range compression done, time = 1788.448 shift in azimuth (fractional pixel)= -.499342 Motion comp. coeff. calculated, time = 1788.468 Motion comp. added to patch, time = 1827.301 Doppler estimation done, time = 1827.301 Azimuth compression starting, time : 1827.373 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2035.571 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2038.771 seconds. Range compression done, time = 2094.531 shift in azimuth (fractional pixel)= -.499313 Motion comp. coeff. calculated, time = 2094.551 Motion comp. added to patch, time = 2132.477 Doppler estimation done, time = 2132.478 Azimuth compression starting, time : 2132.550 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2340.501 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2343.962 seconds. Range compression done, time = 2399.511 shift in azimuth (fractional pixel)= -.499276 Motion comp. coeff. calculated, time = 2399.531 Motion comp. added to patch, time = 2437.610 Doppler estimation done, time = 2437.610 Azimuth compression starting, time : 2437.684 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2649.288 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2656.813 seconds. Range compression done, time = 2710.460 shift in azimuth (fractional pixel)= -.499255 Motion comp. coeff. calculated, time = 2710.480 Motion comp. added to patch, time = 2749.772 Doppler estimation done, time = 2749.772 Azimuth compression starting, time : 2749.860 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2961.677 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_c.hv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 1822 -67 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1821 1822 2926 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2925 Processing block number 3 2926 3665 -45 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3664 3665 4769 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4768 Processing block number 4 4769 5571 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5570 5571 6675 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6674 Processing block number 5 6675 7473 14 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7472 7473 8577 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8576 Processing block number 6 8577 9390 29 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9389 9390 10494 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10493 Processing block number 7 10494 11300 22 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11299 11300 12404 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12403 Processing block number 8 116 896 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13183 896 2000 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14287 Processing block number 9 2000 2775 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15062 2775 3879 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16166 Processing block number 10 3879 4030 -24 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16317 4030 5134 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17421 Writing the last 3338 lines Total # of output lines = 20759 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_vh Name of the mocomp data file? /data3/airops/cm5284_c.mocompv Output file name? /data3/airops/cm5284_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 = 2.322 Processing 10 blocks Processing block number 1 reference line: 2048 2.323 seconds. Range compression done, time = 59.012 Motion comp. coeff. calculated, time = 59.032 Motion comp. added to patch, time = 98.731 Doppler estimation done, time = 98.731 Azimuth compression starting, time : 98.803 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 270.825 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 274.415 seconds. Range compression done, time = 328.990 Motion comp. coeff. calculated, time = 329.010 Motion comp. added to patch, time = 367.128 Doppler estimation done, time = 367.128 Azimuth compression starting, time : 367.200 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 540.083 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 550.314 seconds. Range compression done, time = 604.167 Motion comp. coeff. calculated, time = 604.188 Motion comp. added to patch, time = 642.949 Doppler estimation done, time = 642.949 Azimuth compression starting, time : 643.021 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 815.548 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 819.117 seconds. Range compression done, time = 873.991 Motion comp. coeff. calculated, time = 874.021 Motion comp. added to patch, time = 912.328 Doppler estimation done, time = 912.328 Azimuth compression starting, time : 912.401 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1086.203 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1095.950 seconds. Range compression done, time = 1150.602 Motion comp. coeff. calculated, time = 1150.622 Motion comp. added to patch, time = 1188.877 Doppler estimation done, time = 1188.877 Azimuth compression starting, time : 1188.949 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1362.588 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1366.083 seconds. Range compression done, time = 1420.860 Motion comp. coeff. calculated, time = 1420.880 Motion comp. added to patch, time = 1459.435 Doppler estimation done, time = 1459.435 Azimuth compression starting, time : 1459.507 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1633.328 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1646.492 seconds. Range compression done, time = 1700.626 Motion comp. coeff. calculated, time = 1700.646 Motion comp. added to patch, time = 1739.214 Doppler estimation done, time = 1739.214 Azimuth compression starting, time : 1739.286 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1913.120 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1916.419 seconds. Range compression done, time = 1971.157 Motion comp. coeff. calculated, time = 1971.177 Motion comp. added to patch, time = 2009.899 Doppler estimation done, time = 2009.899 Azimuth compression starting, time : 2009.972 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2183.720 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2187.052 seconds. Range compression done, time = 2242.065 Motion comp. coeff. calculated, time = 2242.085 Motion comp. added to patch, time = 2280.704 Doppler estimation done, time = 2280.704 Azimuth compression starting, time : 2280.777 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2454.516 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2462.150 seconds. Range compression done, time = 2516.309 Motion comp. coeff. calculated, time = 2516.329 Motion comp. added to patch, time = 2555.354 Doppler estimation done, time = 2555.354 Azimuth compression starting, time : 2555.438 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2729.209 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_c.vh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 1822 -67 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1821 1822 2926 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2925 Processing block number 3 2926 3665 -45 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3664 3665 4769 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4768 Processing block number 4 4769 5571 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5570 5571 6675 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6674 Processing block number 5 6675 7473 14 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7472 7473 8577 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8576 Processing block number 6 8577 9390 29 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9389 9390 10494 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10493 Processing block number 7 10494 11300 22 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11299 11300 12404 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12403 Processing block number 8 116 896 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13183 896 2000 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14287 Processing block number 9 2000 2775 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15062 2775 3879 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16166 Processing block number 10 3879 4030 -24 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16317 4030 5134 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17421 Writing the last 3338 lines Total # of output lines = 20759 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_vv Name of the mocomp data file? /data3/airops/cm5284_c.mocompv Output file name? /data3/airops/cm5284_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 = 2.333 Processing 10 blocks Processing block number 1 reference line: 2048 2.333 seconds. Range compression done, time = 60.575 Motion comp. coeff. calculated, time = 60.596 Motion comp. added to patch, time = 100.307 Doppler estimation done, time = 100.307 Azimuth compression starting, time : 100.380 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 274.214 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 277.887 seconds. Range compression done, time = 332.693 Motion comp. coeff. calculated, time = 332.713 Motion comp. added to patch, time = 371.220 Doppler estimation done, time = 371.220 Azimuth compression starting, time : 371.293 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 545.385 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 555.616 seconds. Range compression done, time = 609.916 Motion comp. coeff. calculated, time = 609.936 Motion comp. added to patch, time = 648.542 Doppler estimation done, time = 648.543 Azimuth compression starting, time : 648.617 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 823.258 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 826.872 seconds. Range compression done, time = 882.154 Motion comp. coeff. calculated, time = 882.175 Motion comp. added to patch, time = 920.660 Doppler estimation done, time = 920.660 Azimuth compression starting, time : 920.734 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1095.501 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1105.281 seconds. Range compression done, time = 1160.571 Motion comp. coeff. calculated, time = 1160.591 Motion comp. added to patch, time = 1199.469 Doppler estimation done, time = 1199.469 Azimuth compression starting, time : 1199.545 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1374.214 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1377.867 seconds. Range compression done, time = 1432.985 Motion comp. coeff. calculated, time = 1433.005 Motion comp. added to patch, time = 1471.569 Doppler estimation done, time = 1471.569 Azimuth compression starting, time : 1471.642 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1646.670 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1659.836 seconds. Range compression done, time = 1714.436 Motion comp. coeff. calculated, time = 1714.456 Motion comp. added to patch, time = 1753.125 Doppler estimation done, time = 1753.126 Azimuth compression starting, time : 1753.198 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1927.729 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1931.087 seconds. Range compression done, time = 1986.320 Motion comp. coeff. calculated, time = 1986.340 Motion comp. added to patch, time = 2025.105 Doppler estimation done, time = 2025.105 Azimuth compression starting, time : 2025.177 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2199.707 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2203.384 seconds. Range compression done, time = 2258.963 Motion comp. coeff. calculated, time = 2258.984 Motion comp. added to patch, time = 2297.533 Doppler estimation done, time = 2297.533 Azimuth compression starting, time : 2297.607 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2472.488 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2480.088 seconds. Range compression done, time = 2535.051 Motion comp. coeff. calculated, time = 2535.071 Motion comp. added to patch, time = 2573.545 Doppler estimation done, time = 2573.545 Azimuth compression starting, time : 2573.628 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2748.605 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_c.vv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 1822 -67 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1821 1822 2926 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2925 Processing block number 3 2926 3665 -45 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3664 3665 4769 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4768 Processing block number 4 4769 5571 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5570 5571 6675 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6674 Processing block number 5 6675 7473 14 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7472 7473 8577 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8576 Processing block number 6 8577 9390 29 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9389 9390 10494 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10493 Processing block number 7 10494 11300 22 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11299 11300 12404 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12403 Processing block number 8 116 896 -4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13183 896 2000 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14287 Processing block number 9 2000 2775 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15062 2775 3879 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16166 Processing block number 10 3879 4030 -24 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16317 4030 5134 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17421 Writing the last 3338 lines Total # of output lines = 20759 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: 1153 *************************************** ***** ***** ***** 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 94033 writing parheadC writing parhead 20.0 writing parhead 93.8 writing parhead 93.3 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9575634 119.325 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 .339 .250 .121 .133 .177 .245 .212 .000 .007 .081 .042 .027 .048 .200 .439 .221 .005 .005 .000 .001 .015 .114 .303 .561 .227 .033 .003 .000 .017 .178 .434 .665 .737 .197 .004 .008 .007 .076 .400 .738 1.000 .633 .113 .001 .011 .011 .103 .266 .623 .838 .336 .055 .011 .009 .014 .083 .117 .370 .579 .225 .042 .022 .021 .009 .054 .157 .359 .489 .208 .066 .000 .003 .012 .039 .337 .515 .480 .219 .055 .025 .003 r_peak,r_snr = .105586 9.45843 Correlation Surface of oversamples image at 146 3046 .048 .059 .084 .134 .197 .247 .288 .295 .238 .075 .121 .205 .299 .356 .374 .388 .379 .307 .118 .223 .387 .535 .589 .568 .532 .476 .370 .164 .328 .567 .775 .840 .765 .644 .523 .381 .199 .398 .675 .927 1.000 .865 .660 .489 .332 .215 .406 .664 .925 .999 .828 .588 .405 .260 .212 .356 .551 .774 .843 .685 .473 .313 .194 .201 .281 .394 .557 .631 .531 .380 .256 .156 .199 .224 .275 .393 .482 .451 .357 .252 .158 146 -.594 3046 9.250 9.45843 .120550 .184385 .086206 Correlation Surface at 246 3046 .018 .235 .466 .547 .325 .101 .009 .011 .038 .021 .265 .508 .382 .196 .103 .044 .010 .004 .065 .230 .568 .454 .372 .227 .043 .000 .001 .093 .202 .510 .654 .742 .340 .031 .003 .001 .035 .120 .325 .847 1.000 .307 .067 .025 .003 .021 .058 .269 .915 .827 .231 .094 .012 .001 .048 .040 .312 .793 .493 .161 .067 .000 .003 .076 .040 .295 .675 .380 .138 .015 .005 .000 .039 .006 .189 .668 .404 .125 .000 .010 .004 r_peak,r_snr = .1663549 11.1167 Correlation Surface of oversamples image at 246 3046 .351 .445 .489 .507 .527 .523 .473 .369 .214 .342 .462 .556 .641 .709 .697 .583 .403 .199 .304 .433 .572 .734 .852 .814 .634 .393 .175 .235 .363 .545 .789 .949 .870 .624 .354 .159 .167 .296 .519 .830 1.000 .860 .565 .306 .153 .122 .257 .512 .846 .970 .772 .472 .260 .153 .104 .245 .512 .804 .842 .619 .368 .222 .153 .104 .246 .497 .700 .656 .450 .274 .186 .142 .108 .246 .456 .569 .483 .318 .203 .151 .117 246 .500 3046 -3.906 11.11671 .017577 .074250 .011990 Correlation Surface at 346 3046 .007 .005 .015 .195 .475 .102 .006 .004 .038 .024 .019 .001 .430 .675 .136 .000 .003 .001 .165 .000 .112 .439 .555 .107 .058 .103 .112 .121 .001 .135 .424 .749 .181 .126 .406 .148 .035 .002 .043 .526 1.000 .305 .077 .283 .046 .049 .000 .004 .119 .544 .269 .002 .081 .012 .106 .049 .000 .012 .234 .353 .099 .029 .060 .201 .279 .008 .009 .092 .342 .074 .029 .065 r_peak,r_snr = 7.04799E-02 8.21645 Correlation Surface of oversamples image at 346 3046 .898 .867 .860 .640 .184 .002 .031 .892 1.283 1.812 1.746 .725 .031 .014 .817 1.643 2.719 2.848 1.405 .218 .009 1.238 2.429 3.642 3.611 2.030 .635 .158 346 3.156 3046 14.813 8.21645 .055717 .164180 -.033317 Correlation Surface at 446 3046 .003 .003 .047 .053 .156 .236 .205 .018 .034 .018 .035 .038 .054 .347 .368 .378 .015 .042 .046 .098 .037 .092 .522 .652 .419 .000 .014 .013 .077 .032 .116 .684 .913 .252 .002 .001 .000 .059 .041 .143 1.000 .935 .130 .000 .010 .006 .028 .021 .184 .960 .639 .040 .000 .009 .010 .001 .024 .162 .610 .337 .003 .000 .005 .177 .000 .081 .101 .499 .262 .032 .028 .058 .174 .001 .082 .083 .325 .198 .128 .079 .062 r_peak,r_snr = .1338572 12.3142 Correlation Surface of oversamples image at 446 3046 .001 .024 .098 .195 .313 .449 .466 .263 .038 .000 .008 .075 .239 .474 .626 .499 .191 .008 .000 .007 .116 .407 .718 .733 .406 .082 .003 .000 .016 .225 .666 .945 .716 .247 .010 .041 .000 .032 .346 .855 1.000 .575 .100 .009 .114 .003 .038 .376 .832 .850 .372 .015 .070 .193 .006 .029 .292 .636 .608 .195 .001 .134 .221 .003 .015 .165 .410 .398 .094 .012 .133 .173 .000 .002 .063 .233 .245 .051 .010 .078 .092 446 .375 3046 .469 12.31420 .018875 .163389 .019147 Correlation Surface at 546 3046 .004 .009 .023 .001 .229 .475 .022 .069 .339 .010 .004 .008 .034 .591 .788 .187 .185 .283 .014 .000 .000 .087 .681 .839 .302 .069 .021 .002 .002 .000 .178 .869 .864 .284 .018 .006 .016 .049 .009 .343 1.000 .694 .231 .074 .033 .043 .081 .008 .331 .541 .446 .261 .206 .182 .002 .010 .003 .104 .215 .494 .436 .254 .076 .003 .002 .013 .060 .397 .525 .344 .115 .032 .004 .000 .005 .158 .571 .151 .044 .057 .134 r_peak,r_snr = .1079818 11.41071 Correlation Surface of oversamples image at 546 3046 .000 .036 .182 .441 .647 .579 .283 .079 .035 .002 .055 .225 .520 .770 .713 .392 .144 .063 .011 .077 .266 .584 .855 .803 .482 .204 .076 .025 .108 .327 .675 .939 .875 .554 .246 .075 .030 .138 .413 .781 1.000 .902 .576 .254 .070 .020 .158 .489 .841 .984 .842 .528 .234 .074 .008 .169 .527 .812 .861 .700 .441 .218 .101 .003 .171 .484 .666 .663 .547 .385 .242 .164 .004 .144 .340 .444 .475 .470 .416 .335 .267 546 -.438 3046 2.188 11.41072 .037631 .099853 .025910 Correlation Surface at 646 3046 .024 .000 .000 .082 .192 .094 .032 .004 .307 .001 .012 .008 .161 .471 .159 .068 .000 .075 .050 .020 .015 .310 .636 .308 .108 .001 .044 .118 .129 .000 .347 .939 .552 .126 .000 .065 .060 .142 .006 .479 1.000 .322 .057 .002 .042 .081 .070 .002 .470 .553 .091 .000 .009 .085 .087 .001 .007 .068 .146 .003 .054 .083 .250 .003 .053 .001 .002 .004 .034 .070 .058 .289 .024 .143 .044 .016 .001 .020 .000 .004 .117 r_peak,r_snr = 9.90862E-02 12.28289 Correlation Surface of oversamples image at 646 3046 .023 .002 .085 .256 .385 .381 .296 .214 .112 .036 .004 .125 .357 .527 .521 .385 .234 .096 .030 .019 .228 .568 .763 .663 .398 .177 .053 .009 .068 .411 .843 .976 .707 .320 .093 .019 .000 .147 .574 .988 1.000 .615 .209 .037 .007 .011 .171 .522 .818 .778 .425 .112 .013 .003 .011 .084 .267 .463 .457 .227 .047 .003 .000 .000 .007 .066 .189 .210 .091 .011 .000 .002 .006 .006 .006 .066 .076 .021 .000 .007 .009 646 -.219 3046 -.594 12.28290 .033356 .167544 .039803 Correlation Surface at 746 3046 .005 .002 .010 .139 .326 .394 .000 .186 .118 .005 .007 .014 .121 .465 .451 .029 .286 .090 .002 .002 .003 .156 .604 .250 .093 .387 .109 .004 .006 .017 .354 .738 .191 .122 .549 .154 .006 .003 .021 .480 1.000 .259 .112 .366 .082 .000 .000 .001 .453 .977 .175 .033 .058 .009 .001 .000 .001 .290 .660 .144 .001 .000 .007 .000 .003 .002 .248 .620 .221 .019 .001 .000 .001 .008 .001 .344 .658 .255 .005 .050 .123 r_peak,r_snr = .1337242 10.44695 Correlation Surface of oversamples image at 746 3046 .017 .059 .166 .418 .711 .686 .293 .009 .114 .017 .081 .243 .541 .784 .638 .220 .001 .165 .020 .105 .309 .644 .849 .624 .197 .000 .188 .018 .103 .340 .736 .936 .659 .209 .000 .178 .007 .076 .348 .811 1.000 .682 .213 .000 .148 .001 .056 .354 .832 .975 .633 .183 .000 .107 .000 .056 .349 .761 .838 .514 .136 .000 .061 .003 .071 .318 .621 .661 .399 .109 .002 .022 .018 .085 .263 .489 .542 .350 .115 .012 .002 746 -.094 3046 .219 10.44695 .012307 .244926 .008703 Correlation Surface at 846 3046 .108 .053 .111 .181 .169 .123 .213 .184 .121 .018 .013 .044 .007 .067 .111 .114 .048 .064 .012 .016 .010 .000 .169 .223 .038 .008 .063 .009 .000 .008 .080 .687 .351 .000 .000 .045 .002 .001 .062 .381 1.000 .137 .043 .023 .017 .007 .027 .043 .261 .377 .002 .055 .011 .046 .070 .002 .004 .028 .097 .004 .000 .037 .209 .060 .002 .003 .019 .185 .066 .033 .110 .470 .163 .091 .032 .171 .531 .145 .012 .081 .421 r_peak,r_snr = .1047386 7.93206 Correlation Surface of oversamples image at 846 3046 .020 .018 .017 .049 .131 .172 .136 .099 .092 .010 .010 .025 .119 .280 .280 .140 .056 .038 .005 .009 .061 .282 .537 .415 .138 .026 .012 .004 .017 .141 .544 .835 .509 .116 .008 .002 .007 .040 .275 .822 1.000 .472 .070 .000 .002 .020 .091 .436 .979 .924 .333 .029 .003 .017 .041 .150 .535 .911 .672 .185 .008 .010 .032 .038 .155 .475 .652 .392 .089 .002 .010 .024 .010 .087 .290 .364 .207 .053 .003 .002 .002 846 -.219 3046 -.188 7.93206 .015570 .042131 .011246 Correlation Surface at 946 3046 .041 .003 .011 .001 .252 .755 .568 .095 .051 .004 .014 .023 .055 .340 .356 .240 .000 .113 .014 .033 .061 .174 .240 .197 .134 .025 .003 .000 .025 .122 .306 .504 .402 .215 .132 .091 .007 .008 .048 .439 1.000 .614 .168 .091 .067 .003 .022 .001 .306 .793 .214 .005 .017 .001 .030 .201 .018 .079 .189 .009 .063 .011 .016 .068 .115 .004 .009 .000 .068 .050 .013 .002 .027 .001 .025 .000 .007 .001 .000 .001 .002 r_peak,r_snr = .1011105 10.79937 Correlation Surface of oversamples image at 946 3046 .229 .298 .359 .387 .357 .294 .244 .205 .159 .298 .326 .355 .399 .421 .388 .333 .244 .139 .220 .267 .366 .508 .606 .588 .472 .263 .095 .078 .174 .384 .665 .849 .807 .543 .213 .050 .003 .092 .378 .770 1.000 .842 .431 .111 .019 .017 .047 .355 .760 .891 .590 .199 .026 .004 .034 .049 .358 .642 .565 .233 .029 .000 .000 .008 .097 .356 .430 .215 .022 .005 .014 .004 .007 .164 .292 .192 .022 .014 .035 .015 .006 946 -1.938 3046 10.531 10.79938 .040260 .072720 .009021 Correlation Surface at 1046 3046 .086 .010 .007 .110 .179 .462 .000 .003 .059 .103 .198 .114 .016 .014 .007 .012 .006 .095 .190 .016 .113 .196 .527 .510 .098 .014 .462 .985 1.000 .414 .023 .079 .532 .649 .303 .209 .028 .047 .207 .069 .097 .177 .005 .017 .000 .000 .076 .133 .055 .001 .021 .004 .032 .014 r_peak,r_snr = 7.11305E-02 6.97886 Correlation Surface of oversamples image at 1046 3046 .129 .004 .046 .087 .023 .000 .004 .033 .041 .081 .011 .162 .226 .157 .136 .192 .201 .100 .008 .098 .342 .466 .487 .516 .502 .312 .099 .024 .256 .549 .755 .864 .828 .593 .266 .070 .134 .427 .736 .955 1.000 .789 .440 .182 .071 .243 .550 .822 .918 .794 .511 .268 .162 .135 .312 .614 .752 .653 .451 .277 .199 .235 .283 .387 .614 .545 .324 .192 .159 .220 .375 .432 .461 .508 .278 .095 .060 .113 .280 .479 .426 1046 11.844 3046 -3.500 6.97886 .218133 .066498 .065309 Correlation Surface at 1146 3046 .088 .025 .046 .007 .277 .135 .064 .049 .017 .115 .001 .135 .018 .126 .211 .313 .134 .014 .002 .092 .315 .027 .361 .508 .370 .103 .063 .038 .150 .215 .029 .813 .692 .203 .058 .001 .039 .080 .034 .210 1.000 .645 .165 .002 .029 .018 .064 .012 .230 .888 .547 .075 .033 .041 .025 .122 .004 .279 .687 .298 .007 .025 .028 .051 .092 .020 .268 .380 .168 .030 .003 .002 .016 .028 .020 .060 .143 .163 .092 .001 .000 r_peak,r_snr = .1199823 11.49844 Correlation Surface of oversamples image at 1146 3046 .445 .370 .079 .032 .293 .471 .459 .377 .265 .438 .276 .016 .140 .530 .683 .556 .344 .179 .297 .116 .010 .344 .783 .843 .571 .272 .116 .130 .014 .099 .562 .956 .909 .542 .221 .086 .032 .003 .205 .678 1.000 .896 .500 .188 .063 .004 .021 .243 .658 .931 .826 .441 .145 .025 .001 .026 .229 .579 .823 .723 .353 .079 .000 .001 .030 .226 .533 .724 .583 .231 .022 .015 .000 .053 .267 .524 .614 .415 .121 .001 .034 1146 .156 3046 4.844 11.49844 .025718 .354184 .056539 Correlation Surface at 1246 3046 .003 .008 .001 .064 .406 .324 .111 .021 .099 .036 .001 .004 .054 .312 .180 .037 .039 .099 .000 .052 .017 .040 .308 .239 .083 .082 .018 .014 .015 .007 .100 .642 .463 .130 .090 .002 .003 .001 .029 .290 1.000 .450 .090 .052 .010 .012 .019 .066 .403 .882 .269 .020 .004 .103 .003 .033 .078 .330 .432 .061 .011 .111 .100 .000 .027 .111 .184 .130 .007 .032 .094 .027 .031 .047 .204 .184 .182 .058 .006 .025 .003 r_peak,r_snr = .1381976 13.85322 Correlation Surface of oversamples image at 1246 3046 .018 .014 .054 .188 .313 .263 .131 .058 .045 .010 .009 .057 .234 .441 .438 .268 .139 .095 .007 .012 .085 .343 .661 .679 .433 .226 .145 .012 .026 .141 .495 .888 .855 .519 .265 .163 .025 .049 .211 .637 1.000 .860 .483 .237 .143 .041 .075 .277 .708 .945 .708 .360 .167 .098 .052 .097 .320 .678 .755 .481 .217 .092 .051 .061 .122 .330 .556 .503 .269 .105 .038 .017 .077 .148 .301 .387 .283 .126 .040 .011 .003 1246 .125 3046 2.969 13.85323 .014781 .096174 .018350 Correlation Surface at 1346 3046 .062 .002 .008 .187 .333 .097 .019 .042 .006 .071 .004 .006 .223 .211 .017 .001 .003 .000 .087 .014 .025 .265 .209 .011 .011 .023 .002 .064 .005 .098 .406 .508 .223 .010 .008 .011 .002 .073 .177 .596 1.000 .656 .066 .000 .012 .001 .017 .130 .564 .841 .380 .020 .000 .021 .009 .019 .009 .239 .392 .097 .000 .000 .014 .023 .067 .013 .070 .374 .103 .003 .004 .004 .034 .074 .010 .204 .537 .185 .059 .035 .054 r_peak,r_snr = .1421941 18.69731 Correlation Surface of oversamples image at 1346 3046 .003 .058 .168 .224 .172 .075 .016 .001 .001 .014 .098 .238 .333 .305 .190 .086 .025 .003 .052 .172 .352 .507 .528 .426 .266 .111 .028 .124 .282 .505 .710 .797 .734 .505 .225 .061 .215 .418 .668 .881 1.000 .938 .635 .273 .071 .279 .517 .757 .923 .992 .883 .558 .217 .050 .258 .490 .685 .765 .755 .624 .353 .111 .019 .159 .333 .461 .491 .468 .367 .171 .030 .001 .055 .150 .231 .281 .307 .241 .082 .003 .003 1346 .094 3046 2.219 18.69731 .032505 .040324 -.001269 Correlation Surface at 1446 3046 .000 .081 .366 .376 .446 .061 .035 .228 .115 .001 .084 .301 .256 .460 .186 .215 .293 .343 .000 .129 .244 .302 .747 .661 .306 .202 .427 .001 .202 .363 .571 1.000 .819 .217 .134 .226 .012 .329 .530 .618 .755 .606 .161 .074 .020 .016 .270 .295 .431 .556 .418 .124 .091 .007 .009 .202 .214 .701 .722 .408 .135 .111 .001 .078 .329 .347 .883 .793 .325 .035 .002 .059 r_peak,r_snr = .1055567 6.34067 Correlation Surface of oversamples image at 1446 3046 .114 .086 .148 .170 .109 .070 .095 .163 .175 .095 .094 .184 .262 .277 .264 .255 .211 .125 .123 .155 .299 .485 .595 .544 .373 .179 .063 .208 .277 .482 .771 .905 .712 .366 .113 .028 .339 .417 .637 .939 1.000 .686 .286 .070 .018 .431 .480 .661 .900 .896 .583 .236 .069 .025 .390 .413 .558 .740 .737 .509 .252 .109 .047 .263 .291 .433 .592 .616 .489 .319 .182 .089 .168 .218 .373 .519 .563 .511 .401 .263 .153 1446 .313 3046 -11.969 6.34067 .102639 .158014 .051845 Correlation Surface at 1546 3046 .154 .162 .201 .491 .510 .318 .054 .077 .024 .024 .022 .067 .388 .657 .320 .179 .137 .030 .018 .000 .074 .562 .777 .274 .147 .075 .046 .049 .036 .196 .688 .769 .287 .044 .053 .112 .000 .104 .182 .698 1.000 .343 .029 .146 .176 .022 .043 .164 .664 .939 .370 .154 .275 .099 .011 .044 .183 .444 .731 .495 .443 .256 .022 .046 .082 .153 .369 .892 .781 .579 .163 .000 .038 .056 .195 .417 .927 .790 .448 .056 .001 r_peak,r_snr = .118375 7.28155 Correlation Surface of oversamples image at 1546 3046 .025 .110 .265 .496 .691 .646 .415 .271 .215 .065 .169 .350 .616 .787 .668 .435 .297 .189 .132 .225 .413 .705 .862 .722 .502 .321 .142 .164 .230 .428 .763 .942 .816 .576 .313 .092 .127 .190 .416 .796 1.000 .877 .591 .270 .057 .070 .149 .400 .778 .961 .830 .533 .223 .043 .041 .135 .375 .683 .821 .715 .464 .199 .051 .043 .140 .325 .552 .685 .640 .443 .217 .090 .068 .139 .261 .459 .640 .662 .493 .288 .178 1546 -.469 3046 -8.875 7.28155 .027158 .312841 -.014629 Correlation Surface at 1646 3046 .035 .149 .218 .089 .083 .018 .001 .102 .057 .031 .052 .042 .020 .105 .049 .025 .015 .016 .001 .003 .010 .047 .260 .164 .069 .023 .196 .022 .001 .076 .302 .644 .408 .283 .190 .325 .052 .023 .309 .605 1.000 .706 .369 .099 .127 .032 .111 .295 .469 .826 .657 .182 .001 .018 .002 .165 .114 .273 .544 .512 .089 .001 .001 .031 .087 .041 .233 .637 .601 .101 .007 .001 .027 .015 .035 .369 .948 .558 .109 .047 .001 r_peak,r_snr = .1075894 8.6295 Correlation Surface of oversamples image at 1646 3046 .635 .858 1.263 1.613 1.829 1.933 1.733 1.172 .489 .385 .571 .827 1.204 1.747 2.181 1.909 1.122 .421 .157 .336 .642 1.265 2.179 2.648 1.966 .930 .320 .103 .384 .965 1.993 3.113 3.189 1.974 .825 .344 1646 -.906 3046 -5.156 8.62950 .068236 .115118 -.004598 Correlation Surface at 1746 3046 .154 .230 .422 .696 .857 .749 .588 .482 .289 .173 .310 .521 .755 .704 .644 .542 .386 .275 .204 .364 .579 .746 .715 .726 .525 .363 .254 .215 .386 .542 .715 .884 .895 .628 .424 .254 .241 .376 .518 .688 1.000 .955 .658 .434 .253 .262 .335 .473 .659 .912 .813 .539 .338 .178 .261 .292 .430 .618 .719 .654 .458 .244 .128 .267 .309 .467 .579 .633 .644 .420 .208 .166 .309 .354 .468 .544 .662 .665 .406 .225 .224 r_peak,r_snr = .2804017 4.28052 Correlation Surface of oversamples image at 1746 3046 1.874 2.420 3.129 3.779 4.000 3.735 3.215 2.699 2.394 2.081 2.714 3.397 3.793 3.697 3.294 2.839 2.506 2.323 2.307 2.997 3.554 3.651 3.326 2.910 2.592 2.396 2.221 2.512 3.150 3.499 3.377 3.033 2.740 2.562 2.396 2.162 2.603 3.069 3.220 3.085 2.916 2.820 2.727 2.518 2.249 1746 -.125 3046 -1.813 4.28052 .027983 .085015 .001814 Correlation Surface at 1946 3046 .055 .027 .006 .147 .281 .139 .053 .004 .003 .109 .094 .001 .189 .956 .639 .031 .004 .002 .007 .080 .016 .119 1.000 .214 .040 .061 .005 .005 .015 .038 .042 .344 .038 .014 .000 .024 .072 .035 .030 .004 .087 .002 .077 .054 .012 .195 .017 .026 .006 .083 .082 .157 .051 .000 .018 .003 .022 .046 .012 .372 .192 .023 .001 r_peak,r_snr = 7.75569E-02 12.4674 Correlation Surface of oversamples image at 1946 3046 .076 .036 .022 .051 .107 .145 .176 .266 .327 .002 .002 .009 .007 .002 .000 .000 .020 .067 .028 .073 .153 .222 .250 .224 .111 .007 .011 .080 .177 .394 .650 .754 .542 .161 .002 .006 .075 .206 .551 .984 1.000 .453 .032 .011 .000 .031 .164 .564 .979 .712 .115 .015 .017 .055 .006 .127 .502 .689 .251 .003 .086 .000 .201 .002 .141 .430 .366 .026 .081 .074 .020 .221 .014 .198 .356 .159 .002 .094 .031 .017 .071 1946 .219 3046 -13.875 12.46741 .018085 .108319 .011145 Correlation Surface at 2046 3046 .000 .001 .098 .120 .007 .002 .024 .002 .099 .002 .075 .292 .106 .059 .105 .017 .063 .334 .026 .285 .182 .059 .392 .433 .080 .146 .343 .069 .144 .013 .221 .967 .362 .019 .051 .025 .019 .001 .000 .522 1.000 .136 .007 .000 .001 .000 .023 .010 .719 .709 .091 .031 .000 .001 .002 .002 .133 .707 .348 .195 .025 .001 .042 .025 .019 .185 .284 .279 .453 .017 .025 .247 .009 .002 .111 .241 .481 .374 .045 .191 .364 r_peak,r_snr = .1027156 9.40223 Correlation Surface of oversamples image at 2046 3046 .053 .010 .023 .177 .548 .774 .607 .284 .072 .001 .000 .053 .337 .733 .834 .554 .186 .020 .006 .002 .124 .497 .852 .865 .513 .138 .010 .005 .018 .222 .621 .934 .899 .492 .125 .015 .001 .067 .340 .736 1.000 .884 .436 .120 .029 .026 .146 .458 .806 .938 .713 .331 .112 .040 .071 .219 .512 .726 .693 .465 .241 .117 .046 .095 .244 .454 .510 .406 .285 .212 .142 .055 .082 .213 .328 .291 .216 .209 .232 .179 .064 2046 .625 3046 8.969 9.40223 .038611 .504964 .107745 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .002 .019 .224 .497 .817 .513 .215 .076 .003 .004 .006 .172 .599 .940 .596 .245 .146 .075 .002 .000 .211 .708 .891 .608 .266 .154 .139 .001 .001 .246 .684 .979 .496 .122 .043 .072 .000 .003 .136 .570 1.000 .367 .069 .051 .035 .000 .005 .060 .383 .714 .352 .172 .111 .030 .000 .004 .026 .252 .510 .350 .137 .024 .013 .001 .005 .033 .240 .412 .347 .111 .006 .001 .004 .017 .058 .234 .431 .438 .141 .012 .000 r_peak,r_snr = .1640637 9.97738 Correlation Surface of oversamples image at 146 3446 .128 .269 .468 .671 .777 .760 .637 .433 .254 .166 .332 .537 .736 .845 .801 .615 .381 .224 .204 .374 .579 .795 .907 .792 .511 .258 .141 .207 .371 .601 .871 .973 .745 .374 .138 .067 .166 .324 .603 .935 1.000 .664 .263 .074 .036 .105 .254 .572 .938 .952 .567 .201 .059 .041 .060 .183 .495 .845 .826 .477 .188 .081 .072 .030 .112 .370 .661 .644 .396 .198 .115 .096 .012 .062 .253 .478 .483 .338 .210 .126 .070 146 -.188 3446 .688 9.97738 .011926 .132253 -.006200 Correlation Surface at 246 3446 .557 .537 .601 .275 .128 .152 .037 .064 .217 .431 .256 .396 .167 .120 .235 .110 .049 .069 .346 .173 .229 .147 .283 .444 .077 .004 .001 .264 .216 .187 .197 .654 .430 .037 .000 .026 .165 .193 .136 .351 1.000 .554 .153 .093 .136 .140 .030 .114 .453 .961 .714 .409 .191 .148 .083 .011 .219 .487 .763 .568 .415 .143 .123 .109 .141 .291 .489 .777 .553 .252 .028 .082 .191 .110 .063 .262 .637 .460 .097 .016 .122 r_peak,r_snr = .1253987 5.15525 Correlation Surface of oversamples image at 246 3446 .192 .195 .332 .497 .444 .274 .155 .059 .007 .164 .226 .447 .651 .570 .379 .248 .135 .051 .137 .240 .501 .743 .738 .599 .462 .303 .163 .123 .251 .518 .798 .917 .865 .715 .496 .300 .140 .278 .521 .811 1.000 .984 .800 .564 .370 .195 .323 .523 .776 .917 .835 .624 .441 .313 .277 .382 .538 .712 .726 .547 .353 .245 .191 .319 .405 .531 .621 .527 .304 .151 .094 .082 .241 .326 .439 .489 .363 .160 .050 .019 .018 246 .719 3446 -9.000 5.15525 .018676 .150035 .002926 Correlation Surface at 346 3446 .085 .049 .000 .047 .002 .003 .644 .214 .026 .003 .025 .062 .079 .074 .012 .338 .111 .020 .008 .016 .025 .008 .001 .116 .115 .072 .057 .010 .097 .003 .042 .482 .451 .119 .002 .000 .143 .380 .042 .149 1.000 .659 .074 .004 .075 .269 .285 .080 .027 .521 .575 .099 .005 .162 .109 .010 .050 .002 .213 .302 .016 .024 .170 .058 .009 .000 .015 .133 .032 .098 .153 .077 .270 .023 .003 .034 .068 .009 .101 .082 .046 r_peak,r_snr = 7.88193E-02 10.36279 Correlation Surface of oversamples image at 346 3446 .050 .004 .014 .009 .032 .248 .412 .325 .126 .008 .001 .011 .006 .169 .396 .369 .190 .053 .001 .002 .003 .130 .451 .543 .328 .118 .021 .005 .004 .104 .462 .796 .651 .300 .080 .006 .004 .045 .322 .810 1.000 .686 .285 .063 .002 .003 .078 .410 .842 .941 .650 .287 .074 .007 .010 .043 .267 .579 .713 .562 .305 .119 .039 .026 .003 .087 .291 .462 .449 .316 .170 .075 .036 .007 .011 .123 .274 .334 .282 .164 .057 346 9.375 3446 -2.313 10.36280 .033242 .058936 -.003725 Correlation Surface at 446 3446 .001 .002 .042 .361 .777 .263 .003 .000 .040 .001 .003 .043 .368 .813 .349 .036 .023 .025 .007 .002 .048 .329 .801 .460 .110 .070 .056 .012 .002 .051 .295 .824 .547 .087 .046 .089 .015 .005 .040 .344 1.000 .667 .063 .020 .123 .018 .020 .075 .452 .901 .552 .079 .032 .180 .010 .021 .088 .300 .449 .285 .057 .035 .106 .002 .005 .031 .125 .296 .187 .038 .020 .014 .001 .004 .018 .111 .323 .202 .046 .006 .000 r_peak,r_snr = .187528 11.03691 Correlation Surface of oversamples image at 446 3446 .034 .158 .390 .675 .846 .764 .505 .283 .183 .034 .136 .336 .622 .832 .785 .533 .297 .178 .031 .117 .307 .614 .861 .829 .559 .287 .140 .027 .107 .310 .653 .936 .908 .601 .276 .103 .027 .117 .350 .713 1.000 .977 .638 .271 .085 .036 .148 .403 .735 .982 .946 .610 .258 .088 .056 .185 .417 .675 .844 .774 .486 .220 .098 .074 .194 .362 .525 .613 .524 .321 .166 .099 .079 .165 .263 .356 .399 .329 .209 .127 .094 446 .219 3446 5.125 11.03692 .010495 .129772 .008274 Correlation Surface at 546 3446 .000 .000 .014 .158 .442 .436 .125 .011 .017 .015 .023 .030 .282 .819 .427 .046 .005 .001 .109 .062 .139 .683 .998 .356 .054 .001 .035 .191 .189 .454 .981 .998 .374 .049 .006 .080 .434 .550 .606 .855 1.000 .333 .078 .001 .062 .464 .463 .334 .699 .944 .328 .179 .010 .003 .158 .091 .106 .562 .813 .503 .204 .037 .052 .125 .042 .046 .226 .410 .419 .154 .196 .392 .236 .079 .014 .039 .130 .224 .189 .437 .755 r_peak,r_snr = .102221 6.0498 Correlation Surface of oversamples image at 546 3446 .006 .012 .092 .323 .622 .733 .511 .232 .084 .020 .068 .261 .557 .782 .785 .546 .294 .142 .087 .214 .491 .759 .892 .839 .593 .351 .191 .252 .423 .679 .870 .967 .887 .619 .372 .214 .455 .577 .730 .880 1.000 .911 .611 .362 .232 .540 .570 .647 .809 .984 .909 .597 .369 .287 .409 .399 .469 .672 .908 .867 .590 .421 .381 .190 .184 .264 .490 .750 .769 .605 .520 .486 .049 .050 .114 .291 .512 .625 .620 .615 .549 546 -.375 3446 -.844 6.04980 .092899 12.495718 -.761809 Correlation Surface at 646 3446 .124 .026 .011 .034 .055 .028 .013 .006 .002 .063 .039 .037 .062 .120 .069 .044 .014 .000 .060 .052 .105 .265 .446 .318 .172 .053 .019 .053 .068 .148 .490 .891 .609 .330 .140 .026 .086 .140 .116 .558 1.000 .574 .258 .110 .014 .147 .137 .101 .496 .706 .326 .103 .042 .023 .137 .105 .176 .395 .417 .218 .078 .052 .036 .143 .205 .272 .422 .485 .335 .131 .068 .025 .167 .306 .343 .531 .776 .422 .140 .038 .019 r_peak,r_snr = .1440813 7.69922 Correlation Surface of oversamples image at 646 3446 .686 .944 1.337 1.701 1.609 1.179 .737 .459 .329 .904 1.194 1.585 1.860 1.706 1.319 .912 .629 .487 1.170 1.512 1.920 2.189 2.142 1.821 1.292 .850 .605 1.552 1.959 2.416 2.831 3.024 2.691 1.832 1.089 .692 646 .031 3446 -.125 7.69922 .025679 .112662 .016604 Correlation Surface at 746 3446 .003 .001 .076 .392 .604 .279 .071 .047 .007 .014 .000 .090 .480 .626 .252 .075 .048 .004 .009 .001 .146 .480 .565 .299 .071 .006 .000 .011 .002 .158 .422 .752 .349 .012 .003 .005 .009 .013 .129 .466 1.000 .227 .002 .000 .006 .008 .013 .093 .499 .847 .164 .016 .001 .001 .019 .002 .115 .649 .776 .214 .012 .001 .020 .018 .003 .222 .865 .878 .207 .013 .050 .085 .002 .012 .224 .749 .584 .176 .053 .099 .050 r_peak,r_snr = .1932761 10.19425 Correlation Surface of oversamples image at 746 3446 .153 .301 .432 .504 .511 .447 .324 .208 .128 .202 .324 .428 .516 .565 .515 .355 .185 .079 .232 .323 .434 .591 .712 .639 .380 .142 .035 .231 .296 .445 .706 .892 .743 .361 .093 .014 .200 .253 .446 .798 1.000 .748 .301 .061 .010 .159 .215 .440 .817 .964 .654 .243 .055 .018 .127 .198 .434 .759 .818 .527 .207 .062 .026 .117 .217 .454 .703 .695 .450 .200 .072 .026 .133 .272 .513 .705 .659 .427 .194 .067 .017 746 -.031 3446 .156 10.19426 .005876 .059330 .005175 Correlation Surface at 846 3446 .099 .316 .172 .090 .265 .213 .241 .047 .084 .001 .198 .024 .630 1.000 .639 .676 .041 .142 .000 .192 .065 .558 .591 .604 .626 .067 .005 .194 .072 .020 .002 .025 .253 .291 .177 .252 .203 .001 .042 .198 .000 .210 .147 .099 .142 .014 .021 .142 .198 .028 .476 .101 .008 .003 r_peak,r_snr = 6.54579E-02 6.31366 Correlation Surface of oversamples image at 846 3446 .521 .380 .263 .260 .398 .446 .188 .026 .680 .489 .359 .402 .595 .539 .162 .019 .596 .491 .457 .594 .797 .608 .184 .063 .386 .451 .584 .814 .961 .662 .258 .192 .238 .446 .707 .968 1.000 .669 .355 .379 .193 .472 .761 .961 .887 .601 .394 .469 .211 .481 .704 .811 .709 .488 .328 .363 .211 .390 .525 .605 .554 .376 .198 .175 .194 .290 .397 .524 .550 .355 .146 .104 846 -.219 3446 -12.406 6.31366 .169088 .058841 .011592 Correlation Surface at 946 3446 .001 .002 .001 .042 .214 .065 .126 .053 .019 .001 .018 .002 .049 .293 .063 .047 .014 .101 .000 .003 .000 .030 .406 .077 .000 .001 .024 .003 .001 .003 .068 .676 .120 .000 .011 .000 .015 .000 .024 .186 1.000 .212 .012 .010 .000 .107 .003 .027 .244 .879 .257 .006 .003 .004 .098 .005 .004 .133 .412 .144 .000 .017 .004 .036 .001 .017 .021 .241 .136 .054 .026 .000 .000 .060 .109 .015 .297 .233 .091 .006 .006 r_peak,r_snr = .1301834 16.96582 Correlation Surface of oversamples image at 946 3446 .019 .000 .053 .282 .488 .360 .097 .002 .002 .020 .000 .087 .391 .603 .413 .110 .005 .000 .022 .001 .146 .540 .759 .513 .158 .020 .004 .022 .008 .234 .703 .926 .642 .245 .062 .020 .015 .028 .327 .807 1.000 .714 .320 .102 .027 .004 .060 .362 .754 .882 .641 .300 .084 .011 .000 .084 .316 .570 .640 .466 .196 .033 .000 .004 .079 .222 .371 .423 .301 .104 .009 .000 .003 .041 .121 .228 .285 .199 .063 .010 .007 946 -.063 3446 -.531 16.96582 .007421 .108308 .002120 Correlation Surface at 1046 3446 .106 .088 .059 .001 .002 .325 .019 .056 .128 .145 .069 .058 .046 .130 .161 .021 .128 .096 .012 .108 .057 .290 .364 .185 .002 .012 .027 .035 .128 .077 .561 .647 .535 .084 .012 .003 .058 .021 .153 .818 1.000 .646 .141 .033 .003 .003 .021 .167 .658 .725 .325 .219 .040 .001 .066 .035 .148 .320 .428 .267 .311 .000 .000 .001 .031 .181 .158 .352 .359 .218 .050 .017 .088 .260 .202 .177 .251 .450 .308 .000 .203 r_peak,r_snr = 7.24843E-02 8.91953 Correlation Surface of oversamples image at 1046 3446 .060 .086 .161 .252 .185 .043 .000 .019 .064 .084 .160 .259 .346 .314 .192 .081 .016 .003 .125 .250 .368 .500 .587 .500 .286 .101 .009 .191 .346 .480 .697 .895 .771 .407 .148 .032 .250 .388 .532 .803 1.000 .766 .339 .123 .047 .247 .333 .471 .727 .841 .547 .210 .092 .062 .179 .221 .342 .540 .573 .323 .132 .094 .085 .099 .122 .219 .364 .365 .202 .114 .118 .093 .045 .063 .147 .279 .288 .181 .139 .142 .070 1046 -1.469 3446 -5.094 8.91953 .277804 .205236 .078580 Correlation Surface at 1146 3446 .145 .549 .305 .140 .100 .117 .157 .111 .238 .076 .646 .308 .146 .214 .144 .093 .081 .019 .365 .788 .064 .171 .462 .097 .004 .068 .016 .552 .169 .011 .182 .728 .099 .015 .071 .001 .028 .011 .026 .172 1.000 .166 .056 .268 .101 .121 .000 .000 .136 .753 .069 .222 .514 .042 .015 .122 .004 .000 .063 .006 .408 .460 .004 .109 .112 .032 .057 .005 .004 .284 .459 .028 .263 .054 .012 .005 .019 .036 .159 .333 .002 r_peak,r_snr = 7.81684E-02 7.97831 Correlation Surface of oversamples image at 1146 3446 .076 .114 .239 .300 .238 .143 .100 .232 .464 .517 .368 .208 .197 .495 .767 .648 .348 .179 .423 .840 .919 .530 .196 .105 .691 1.000 .741 .260 .058 .047 .748 .786 .375 .062 .005 .021 .499 .373 .101 .002 .001 .014 .172 .086 .008 .003 .002 .017 .012 .003 .000 .001 .000 .033 1146 2.406 3446 -5.438 7.97831 .017140 .239146 -.000401 Correlation Surface at 1246 3446 .021 .070 .034 .133 .269 .020 .016 .040 .065 .001 .027 .001 .178 .257 .092 .098 .150 .078 .007 .001 .045 .352 .451 .272 .194 .213 .001 .000 .006 .123 .532 .787 .480 .240 .060 .059 .004 .002 .148 .461 1.000 .395 .070 .001 .072 .059 .009 .074 .402 .877 .212 .005 .017 .003 .125 .017 .059 .429 .650 .136 .007 .001 .039 .131 .013 .079 .299 .392 .043 .004 .019 .133 .119 .000 .098 .200 .135 .001 .000 .076 .206 r_peak,r_snr = .1099272 12.01493 Correlation Surface of oversamples image at 1246 3446 .051 .208 .427 .510 .424 .312 .219 .143 .137 .101 .339 .610 .697 .612 .470 .308 .191 .168 .146 .443 .717 .821 .785 .608 .359 .201 .147 .171 .479 .739 .899 .923 .671 .332 .154 .084 .168 .452 .722 .960 1.000 .635 .248 .085 .027 .139 .395 .697 .990 .975 .528 .162 .037 .003 .111 .351 .676 .961 .871 .420 .111 .017 .000 .106 .335 .653 .891 .755 .350 .089 .011 .001 .123 .340 .629 .812 .647 .295 .078 .011 .001 1246 -.219 3446 .313 12.01494 .023421 .285101 .017375 Correlation Surface at 1346 3446 .051 .040 .085 .121 .005 .373 .196 .031 .034 .082 .000 .106 .261 .001 .018 .030 .001 .005 .275 .114 .089 .050 .287 .450 .201 .148 .059 .346 1.000 .700 .000 .002 .156 .703 .667 .113 .069 .002 .359 .473 .101 .006 .054 .019 .175 .096 .000 .030 .057 .002 .011 .002 .044 .019 r_peak,r_snr = 7.91048E-02 9.8449 Correlation Surface of oversamples image at 1346 3446 .141 .108 .079 .084 .116 .137 .113 .070 .024 .190 .104 .085 .152 .302 .407 .352 .184 .041 .170 .100 .137 .325 .626 .768 .593 .260 .059 .124 .122 .258 .579 .934 .969 .608 .218 .069 .106 .190 .425 .773 1.000 .808 .370 .111 .071 .125 .285 .534 .761 .749 .412 .117 .035 .071 .169 .344 .506 .548 .369 .109 .012 .011 .080 .203 .318 .362 .278 .101 .006 .000 .012 .098 .180 .206 .176 .079 .006 .003 .000 .024 .105 1346 13.188 3446 -4.781 9.84490 .090508 .074445 .052381 Correlation Surface at 1446 3446 .047 .000 .231 .765 .795 .424 .047 .075 .117 .000 .000 .247 .533 .632 .244 .023 .125 .001 .000 .002 .106 .403 .438 .065 .018 .023 .162 .009 .031 .045 .547 .542 .237 .098 .000 .140 .012 .010 .141 .704 1.000 .534 .151 .001 .004 .040 .049 .232 .513 .705 .285 .108 .024 .107 .115 .032 .172 .308 .196 .245 .146 .091 .526 .003 .001 .173 .178 .138 .351 .111 .183 .555 .000 .017 .109 .097 .221 .231 .114 .256 .121 r_peak,r_snr = .1013909 8.32241 Correlation Surface of oversamples image at 1446 3446 .218 .433 .707 .921 .993 .943 .720 .360 .089 .172 .380 .651 .895 1.000 .914 .604 .231 .037 .137 .332 .594 .837 .907 .735 .377 .098 .008 .123 .304 .537 .721 .709 .469 .173 .027 .001 .117 .279 .469 .575 .497 .279 .091 .015 .001 .103 .248 .397 .450 .380 .242 .116 .039 .011 1446 1.063 3446 -11.781 8.32241 .062114 .063757 -.004783 Correlation Surface at 1646 3446 .020 .129 .017 .040 .007 .206 .205 .253 .012 .050 .002 .017 .108 .057 .001 .001 .039 .051 .037 .450 .201 .004 .060 .054 .202 .102 .224 .952 .410 .020 .112 .023 .238 .024 .161 1.000 .476 .000 .233 .001 .086 .003 .039 .395 .168 .080 .245 .007 .047 .024 .005 .089 .031 .056 .072 .004 r_peak,r_snr = 7.67571E-02 8.66024 Correlation Surface of oversamples image at 1646 3446 .006 .004 .040 .021 .013 .151 .225 .115 .010 .028 .000 .003 .026 .216 .347 .196 .024 .012 .032 .001 .028 .275 .623 .530 .168 .004 .021 .012 .005 .132 .626 .953 .627 .178 .011 .001 .000 .002 .194 .753 1.000 .658 .249 .058 .014 .035 .003 .131 .579 .817 .647 .352 .133 .034 .124 .042 .038 .327 .574 .573 .379 .143 .011 .213 .110 .001 .149 .349 .402 .270 .069 .005 .242 .164 .008 .053 .174 .214 .135 .011 .052 1646 -12.063 3446 10.844 8.66024 .027850 .127774 -.002187 Correlation Surface at 1746 3446 .157 .230 .602 .713 .508 .236 .105 .060 .048 .074 .186 .604 .637 .401 .227 .146 .058 .013 .045 .197 .546 .564 .436 .310 .211 .062 .010 .057 .222 .486 .743 .693 .425 .194 .056 .046 .047 .183 .546 .994 1.000 .417 .117 .062 .048 .040 .191 .631 .989 .983 .311 .097 .064 .026 .059 .231 .509 .775 .725 .348 .145 .093 .051 .054 .184 .401 .683 .714 .520 .264 .189 .082 .050 .184 .426 .720 .779 .591 .362 .239 .085 r_peak,r_snr = .2098567 6.40039 Correlation Surface of oversamples image at 1746 3446 .266 .341 .380 .415 .445 .420 .339 .249 .173 .249 .330 .414 .506 .578 .565 .467 .330 .203 .247 .361 .498 .642 .752 .749 .612 .396 .210 .267 .421 .600 .774 .910 .909 .707 .409 .193 .306 .487 .678 .857 1.000 .973 .702 .375 .169 .350 .532 .709 .872 .993 .916 .623 .330 .158 .374 .535 .687 .823 .899 .790 .537 .308 .166 .360 .497 .624 .731 .773 .677 .497 .324 .193 .318 .439 .551 .640 .679 .631 .521 .374 .237 1746 -.313 3446 -6.344 6.40039 .022076 .074651 .016474 Correlation Surface at 1846 3446 .074 .021 .005 .123 .120 .001 .001 .022 .206 .030 .004 .111 .036 .005 .045 .013 .103 .002 .012 .146 .194 .168 .104 .015 .000 .035 .078 .557 .810 .314 .094 .023 .013 .002 .197 1.000 .846 .215 .172 .043 .023 .001 .187 .882 .558 .361 .385 .005 .058 .001 .155 .607 .372 .488 .213 .067 .029 .019 .181 .284 .121 .257 .035 .022 r_peak,r_snr = 9.09183E-02 9.85311 Correlation Surface of oversamples image at 1846 3446 .025 .029 .044 .047 .036 .020 .008 .000 .007 .017 .028 .070 .134 .167 .140 .066 .005 .002 .011 .041 .147 .329 .448 .375 .160 .016 .000 .016 .077 .268 .589 .789 .589 .205 .020 .001 .031 .124 .384 .818 1.000 .610 .173 .034 .024 .040 .148 .457 .919 .946 .456 .136 .084 .110 .028 .138 .472 .855 .707 .288 .141 .184 .243 .013 .122 .444 .669 .436 .173 .155 .268 .327 .012 .136 .404 .451 .236 .100 .135 .257 .290 1846 -11.656 3446 11.250 9.85311 .041798 .148680 .025449 Correlation Surface at 1946 3446 .061 .118 .003 .054 .314 .585 .238 .093 .163 .056 .009 .002 .038 .275 .286 .074 .022 .157 .006 .017 .008 .041 .243 .172 .108 .100 .117 .002 .002 .031 .069 .481 .359 .141 .035 .000 .005 .023 .105 .388 1.000 .357 .005 .032 .003 .069 .073 .318 .919 .896 .089 .023 .053 .002 .127 .101 .361 .555 .229 .000 .028 .030 .034 .029 .076 .118 .067 .005 .001 .001 .017 .007 .015 .002 .003 .000 .071 .216 .120 .165 .044 r_peak,r_snr = 8.52574E-02 9.59923 Correlation Surface of oversamples image at 1946 3446 .002 .013 .047 .128 .258 .376 .304 .120 .024 .015 .050 .117 .223 .414 .582 .448 .155 .010 .056 .146 .254 .393 .652 .822 .558 .138 .001 .143 .298 .428 .603 .900 .987 .545 .074 .030 .245 .410 .534 .736 1.000 .915 .379 .020 .068 .284 .397 .494 .679 .828 .607 .177 .000 .078 .235 .292 .354 .472 .502 .284 .049 .006 .061 .142 .165 .195 .244 .216 .085 .003 .015 .025 .049 .054 .062 .070 .046 .009 .001 .009 .001 1946 -1.250 3446 -.188 9.59923 .065185 .216509 .089843 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .062 .258 .148 .316 .273 .065 .020 .018 .015 .011 .013 .115 .487 .237 .000 .171 .008 .120 .005 .012 .105 .493 .426 .022 .094 .001 .080 .026 .051 .001 .336 .844 .228 .000 .008 .012 .105 .157 .014 .304 1.000 .398 .066 .088 .134 .159 .144 .000 .333 .959 .429 .141 .317 .531 .204 .067 .021 .360 .939 .285 .095 .254 .578 .291 .027 .056 .378 .647 .201 .098 .143 .422 .127 .006 .162 .331 .487 .401 .182 .209 .164 r_peak,r_snr = 9.71685E-02 8.68437 Correlation Surface of oversamples image at 146 3846 .006 .048 .303 .645 .803 .634 .314 .121 .063 .010 .046 .325 .708 .904 .732 .375 .156 .087 .004 .067 .378 .779 .968 .758 .362 .134 .075 .000 .096 .419 .820 .998 .735 .302 .091 .056 .003 .123 .437 .842 1.000 .677 .238 .064 .051 .013 .140 .430 .812 .917 .563 .179 .056 .059 .031 .156 .402 .702 .734 .419 .140 .068 .083 .056 .168 .345 .528 .512 .296 .132 .099 .111 .117 .216 .330 .424 .405 .284 .188 .167 .162 146 -.063 3846 1.469 8.68437 .025495 1.121737 -.068956 Correlation Surface at 246 3846 .001 .005 .029 .001 .000 .006 .002 .065 .043 .089 .005 .019 .059 .170 .369 .027 .004 .013 .293 .795 .000 .000 .041 .517 1.000 .016 .026 .085 .202 .365 .012 .012 .009 .009 .063 .037 .011 .121 .022 .049 .041 .000 .004 .001 .022 r_peak,r_snr = 9.83492E-02 14.24093 Correlation Surface of oversamples image at 246 3846 .021 .094 .148 .151 .149 .112 .036 .002 .000 .032 .091 .173 .256 .319 .274 .133 .041 .017 .023 .072 .204 .409 .576 .540 .336 .160 .069 .011 .063 .260 .593 .857 .832 .574 .310 .130 .009 .070 .310 .698 1.000 .994 .711 .388 .155 .017 .080 .277 .591 .874 .913 .676 .373 .153 .029 .059 .141 .307 .522 .612 .498 .307 .145 .029 .014 .015 .059 .174 .286 .308 .251 .145 .007 .009 .028 .005 .017 .100 .194 .226 .158 246 13.750 3846 -8.438 14.24093 .023220 .049257 .000137 Correlation Surface at 346 3846 .099 .002 .063 .014 .044 .097 .098 .086 .010 .042 .008 .000 .020 .211 .391 .333 .225 .026 .001 .007 .049 .278 .643 .575 .230 .107 .009 .007 .006 .013 .413 1.000 .555 .057 .011 .001 .046 .068 .006 .262 .912 .346 .020 .001 .001 .000 .228 .036 .052 .162 .032 .001 .001 .000 .035 .220 .064 .014 .001 .007 .021 .002 .050 .022 .164 .140 .068 .003 .001 .028 .038 .013 r_peak,r_snr = 9.34840E-02 14.51487 Correlation Surface of oversamples image at 346 3846 .040 .083 .155 .261 .378 .466 .474 .423 .367 .123 .206 .334 .476 .543 .514 .418 .318 .247 .146 .250 .452 .657 .684 .545 .365 .221 .135 .093 .205 .484 .797 .845 .632 .365 .165 .066 .029 .135 .468 .892 1.000 .734 .366 .119 .028 .001 .081 .415 .863 .981 .681 .278 .057 .006 .003 .048 .316 .644 .686 .415 .117 .006 .001 .009 .027 .187 .333 .297 .129 .011 .007 .018 .008 .010 .067 .095 .056 .007 .009 .041 .035 346 -1.125 3846 -11.281 14.51487 .039908 .218915 .018803 Correlation Surface at 446 3846 .019 .008 .034 .376 .505 .118 .016 .027 .015 .013 .022 .017 .322 .409 .100 .017 .007 .002 .001 .001 .031 .354 .589 .258 .025 .003 .001 .033 .015 .044 .410 .897 .438 .037 .007 .009 .017 .019 .048 .445 1.000 .384 .040 .012 .003 .000 .005 .040 .370 .852 .323 .055 .010 .000 .001 .000 .012 .312 .879 .366 .066 .007 .002 .015 .001 .002 .343 .916 .342 .042 .002 .008 .017 .002 .000 .309 .696 .272 .013 .003 .010 r_peak,r_snr = .1897965 11.6769 Correlation Surface of oversamples image at 446 3846 .021 .100 .245 .392 .441 .368 .241 .135 .061 .025 .104 .266 .459 .572 .533 .375 .203 .077 .028 .110 .297 .550 .743 .734 .519 .261 .090 .031 .118 .336 .653 .911 .893 .597 .274 .088 .033 .127 .365 .725 1.000 .926 .566 .237 .074 .034 .124 .361 .728 .979 .845 .469 .184 .059 .030 .108 .325 .677 .900 .737 .388 .156 .058 .020 .082 .275 .611 .828 .679 .366 .164 .068 .008 .056 .236 .575 .815 .694 .403 .195 .079 446 .125 3846 -.344 11.67691 .007389 .149050 .003719 Correlation Surface at 546 3846 .017 .019 .002 .496 .839 .796 .318 .054 .003 .002 .001 .142 .703 .602 .490 .204 .145 .033 .021 .002 .079 .245 .346 .441 .138 .207 .222 .002 .004 .011 .071 .509 .753 .139 .386 .447 .148 .085 .013 .226 1.000 .948 .398 .791 .424 .315 .043 .037 .446 .964 .681 .512 .704 .207 .032 .003 .036 .345 .592 .275 .354 .491 .175 .007 .000 .028 .275 .365 .263 .502 .624 .222 .001 .017 .043 .329 .459 .686 .773 .667 .139 r_peak,r_snr = .1072477 6.55899 Correlation Surface of oversamples image at 546 3846 .180 .221 .278 .408 .557 .554 .351 .180 .174 .095 .124 .219 .409 .622 .625 .363 .164 .166 .045 .079 .216 .481 .755 .733 .415 .197 .209 .035 .088 .279 .618 .908 .836 .493 .284 .311 .057 .149 .397 .759 1.000 .873 .548 .381 .435 .123 .264 .525 .835 .986 .816 .528 .418 .498 .216 .373 .588 .801 .849 .645 .408 .354 .442 .273 .401 .553 .671 .626 .412 .246 .231 .313 .262 .358 .471 .520 .408 .225 .130 .138 .212 546 -.438 3846 .125 6.55899 .044680 .125200 .036144 Correlation Surface at 646 3846 .001 .008 .001 .029 .153 .230 .103 .008 .002 .015 .003 .001 .016 .190 .300 .064 .002 .049 .016 .002 .006 .089 .353 .253 .026 .038 .167 .003 .013 .071 .259 .682 .360 .057 .034 .063 .033 .059 .103 .334 1.000 .620 .091 .012 .016 .017 .018 .075 .311 .731 .422 .074 .029 .034 .006 .005 .031 .228 .533 .249 .099 .040 .027 .026 .013 .001 .188 .637 .314 .129 .023 .013 .090 .006 .000 .187 .765 .352 .118 .014 .001 r_peak,r_snr = .1255125 11.68575 Correlation Surface of oversamples image at 646 3846 .011 .052 .164 .358 .570 .606 .393 .163 .056 .038 .112 .258 .484 .714 .700 .392 .135 .047 .056 .133 .288 .560 .851 .816 .431 .143 .054 .048 .104 .261 .599 .971 .918 .481 .171 .065 .026 .064 .225 .613 1.000 .907 .474 .175 .063 .011 .046 .218 .595 .890 .745 .374 .133 .047 .008 .058 .239 .533 .686 .516 .239 .079 .033 .017 .093 .255 .443 .497 .349 .155 .055 .034 .033 .122 .250 .379 .413 .302 .148 .066 .049 646 .188 3846 -4.219 11.68576 .020080 .068704 -.000036 Correlation Surface at 746 3846 .012 .054 .262 .334 .340 .071 .014 .015 .033 .015 .076 .230 .360 .324 .083 .001 .021 .058 .021 .030 .067 .232 .372 .128 .001 .043 .039 .018 .001 .026 .325 .647 .185 .004 .049 .009 .003 .000 .141 .707 1.000 .314 .001 .021 .000 .000 .016 .279 .774 .914 .309 .005 .000 .000 .001 .027 .184 .430 .573 .247 .028 .000 .000 .004 .021 .069 .268 .550 .223 .031 .000 .003 .017 .016 .034 .339 .658 .193 .047 .001 .024 r_peak,r_snr = .1711875 14.23698 Correlation Surface of oversamples image at 746 3846 .052 .121 .211 .319 .389 .317 .141 .021 .002 .029 .119 .278 .456 .548 .437 .200 .033 .001 .040 .183 .418 .653 .756 .605 .286 .054 .000 .094 .305 .585 .842 .944 .751 .354 .071 .001 .190 .428 .689 .918 1.000 .768 .345 .070 .003 .286 .485 .671 .843 .885 .647 .278 .062 .008 .318 .445 .556 .672 .686 .492 .217 .060 .014 .253 .324 .402 .495 .520 .391 .186 .056 .013 .135 .191 .280 .387 .448 .357 .167 .042 .006 746 -.094 3846 -.563 14.23699 .012547 .061665 .006295 Correlation Surface at 846 3846 .212 .049 .003 .132 .120 .000 .038 .034 .021 .269 .062 .012 .064 .005 .077 .049 .006 .038 .043 .023 .000 .000 .001 .081 .479 .033 .017 .021 .001 .073 .071 .402 .024 .738 .126 .003 .003 .065 .030 .659 1.000 .018 .285 .058 .020 .023 .054 .000 .465 .297 .024 .068 .025 .159 .001 .000 .011 .000 .021 .012 .039 .039 .250 .018 .002 .095 .082 .039 .004 .031 .101 .145 .006 .008 .108 .078 .073 .028 .082 .118 .050 r_peak,r_snr = 7.35711E-02 9.02352 Correlation Surface of oversamples image at 846 3846 .001 .024 .053 .027 .003 .002 .014 .002 .031 .000 .057 .069 .003 .048 .167 .182 .032 .039 .009 .085 .040 .029 .317 .578 .424 .056 .045 .030 .081 .002 .194 .741 .943 .511 .048 .034 .050 .044 .020 .433 1.000 .944 .386 .030 .010 .039 .007 .087 .540 .874 .628 .205 .020 .000 .010 .002 .115 .397 .492 .288 .091 .016 .001 .001 .011 .059 .147 .166 .102 .046 .014 .000 .017 .003 .001 .010 .029 .041 .036 .012 .000 846 -.250 3846 7.906 9.02352 .016185 .037032 .004303 Correlation Surface at 946 3846 .096 .222 .114 .023 .391 .101 .006 .022 .046 .037 .034 .003 .089 .547 .474 .179 .102 .000 .031 .010 .011 .093 .686 .608 .209 .009 .025 .198 .006 .012 .127 .869 .469 .014 .000 .007 .067 .007 .010 .288 1.000 .193 .016 .050 .070 .004 .010 .007 .350 .592 .028 .000 .087 .001 .002 .001 .011 .285 .369 .038 .016 .024 .069 .035 .004 .018 .392 .633 .173 .029 .000 .093 .037 .022 .001 .334 .654 .259 .091 .000 .039 r_peak,r_snr = .1011607 10.80329 Correlation Surface of oversamples image at 946 3846 .079 .198 .404 .619 .681 .585 .357 .184 .127 .086 .160 .325 .575 .756 .717 .438 .207 .089 .072 .107 .257 .576 .868 .804 .433 .145 .017 .056 .082 .255 .659 .982 .781 .313 .040 .005 .050 .093 .327 .798 1.000 .602 .127 .001 .049 .050 .135 .453 .901 .865 .341 .010 .062 .073 .059 .204 .570 .878 .617 .123 .018 .131 .043 .082 .277 .603 .715 .355 .019 .073 .110 .003 .110 .297 .518 .485 .165 .000 .072 .034 .014 946 .375 3846 2.094 10.80329 .021244 .159622 .035935 Correlation Surface at 1046 3846 .037 .061 .009 .056 .001 .066 .001 .022 .003 .009 .154 .058 .001 .022 .016 .000 .031 .007 .076 .237 .143 .036 .000 .106 .019 .003 .000 .131 .403 .096 .003 .437 .714 .073 .038 .003 .367 .392 .004 .296 1.000 .705 .206 .002 .057 .184 .025 .131 .314 .739 .659 .611 .191 .196 .032 .011 .065 .093 .459 .628 .690 .405 .150 .144 .009 .006 .020 .056 .184 .291 .192 .055 .085 .000 .010 .017 .062 .035 .038 .018 .010 r_peak,r_snr = 7.84354E-02 8.76147 Correlation Surface of oversamples image at 1046 3846 .453 .763 .895 .699 .360 .117 .008 .016 .024 .728 .886 .870 .672 .438 .225 .052 .001 .003 .785 .821 .762 .673 .623 .449 .191 .074 .088 .649 .681 .671 .749 .882 .732 .415 .242 .234 .450 .520 .571 .772 1.000 .880 .584 .385 .314 .265 .327 .392 .614 .850 .787 .565 .371 .254 .098 .116 .164 .347 .548 .523 .363 .209 .118 .001 .001 .015 .127 .277 .234 .117 .041 .015 .067 .063 .004 .063 .164 .081 .010 .000 .001 1046 -8.375 3846 2.469 8.76147 .064384 .100025 .035268 Correlation Surface at 1146 3846 .088 .191 .013 .169 .182 .190 .003 .172 .362 .140 .184 .000 .207 .741 .454 .001 .138 .047 .018 .028 .000 .209 .782 .419 .004 .024 .000 .090 .006 .002 .360 .882 .309 .000 .062 .105 .083 .079 .008 .646 1.000 .083 .149 .341 .209 .019 .117 .029 .516 .507 .013 .441 .627 .166 .084 .071 .023 .398 .163 .139 .445 .675 .210 .059 .016 .043 .310 .003 .110 .186 .374 .275 .004 .025 .000 .027 .012 .003 .005 .267 .176 r_peak,r_snr = 7.72941E-02 9.3902 Correlation Surface of oversamples image at 1146 3846 .006 .005 .039 .149 .362 .507 .460 .264 .062 .007 .001 .010 .127 .402 .593 .542 .320 .091 .025 .016 .006 .174 .541 .755 .657 .364 .090 .057 .018 .031 .339 .798 .947 .718 .323 .043 .068 .001 .128 .578 1.000 .969 .590 .169 .000 .039 .016 .271 .701 .941 .741 .315 .024 .044 .005 .074 .345 .630 .697 .424 .085 .012 .154 .001 .107 .302 .471 .451 .178 .001 .110 .248 .005 .092 .231 .365 .293 .047 .042 .242 .285 1146 -.281 3846 -.500 9.39020 .043478 .213372 .059936 Correlation Surface at 1246 3846 .029 .001 .014 .021 .062 .047 .015 .009 .011 .038 .012 .000 .004 .109 .095 .000 .005 .021 .050 .036 .003 .074 .402 .229 .011 .002 .001 .055 .011 .019 .415 .987 .360 .000 .035 .002 .045 .000 .053 .611 1.000 .196 .020 .003 .015 .050 .005 .019 .379 .627 .108 .001 .026 .015 .081 .024 .006 .210 .370 .086 .005 .000 .000 .094 .006 .034 .137 .170 .022 .038 .103 .019 .044 .009 .056 .062 .121 .003 .106 .142 .159 r_peak,r_snr = .1307879 13.34515 Correlation Surface of oversamples image at 1246 3846 .003 .025 .141 .329 .470 .417 .243 .112 .037 .003 .099 .290 .519 .653 .558 .325 .125 .016 .039 .226 .488 .748 .858 .696 .370 .098 .000 .097 .350 .658 .930 .995 .752 .339 .050 .007 .127 .384 .698 .965 1.000 .705 .264 .019 .011 .098 .304 .593 .862 .900 .604 .201 .014 .001 .044 .185 .446 .726 .780 .518 .186 .031 .006 .012 .110 .351 .626 .679 .466 .206 .065 .022 .006 .095 .325 .557 .582 .414 .212 .070 .009 1246 -.188 3846 -1.188 13.34516 .014409 .138624 .013451 Correlation Surface at 1346 3846 .118 .003 .000 .002 .104 .096 .015 .039 .132 .004 .109 .021 .029 .001 .046 .009 .021 .011 .077 .178 .181 .162 .014 .013 .003 .008 .002 .065 .180 .294 .446 .580 .359 .027 .001 .000 .031 .096 .280 .944 1.000 .348 .066 .013 .023 .002 .049 .472 .932 .394 .269 .089 .030 .193 .032 .085 .729 .459 .094 .114 .034 .076 .168 .011 .069 .277 .026 .015 .015 .068 .106 .253 .004 .011 .013 .000 .013 .001 .032 .112 .319 r_peak,r_snr = 8.53751E-02 10.12683 Correlation Surface of oversamples image at 1346 3846 .211 .113 .041 .024 .036 .046 .045 .045 .024 .235 .156 .093 .104 .190 .263 .267 .194 .068 .214 .175 .167 .287 .523 .653 .564 .309 .078 .156 .174 .269 .553 .897 .945 .657 .273 .054 .100 .180 .390 .753 1.000 .865 .489 .165 .033 .076 .225 .502 .767 .777 .548 .269 .086 .023 .093 .327 .595 .637 .462 .275 .134 .048 .015 .161 .481 .641 .452 .231 .129 .067 .022 .003 .261 .600 .565 .257 .097 .056 .023 .001 .003 1346 -.313 3846 -.219 10.12684 .092130 .050851 .022579 Correlation Surface at 1446 3846 .065 .025 .016 .269 .548 .167 .006 .000 .031 .179 .066 .001 .137 .228 .112 .029 .004 .061 .209 .063 .032 .040 .342 .258 .050 .016 .047 .050 .068 .053 .092 .824 .454 .068 .007 .056 .018 .118 .071 .181 1.000 .605 .115 .007 .034 .037 .101 .038 .289 .933 .339 .066 .004 .000 .071 .095 .001 .514 .561 .047 .001 .018 .024 .063 .044 .072 .584 .260 .007 .004 .089 .037 .019 .001 .186 .550 .193 .009 .006 .093 .002 r_peak,r_snr = .1021628 9.10073 Correlation Surface of oversamples image at 1446 3846 .000 .029 .215 .603 .807 .604 .371 .202 .066 .003 .029 .282 .750 .914 .679 .408 .191 .048 .009 .025 .311 .791 .953 .735 .413 .165 .042 .014 .026 .334 .821 .999 .739 .343 .113 .033 .014 .039 .397 .894 1.000 .602 .191 .040 .013 .009 .081 .518 .965 .872 .361 .049 .001 .000 .000 .182 .692 .981 .651 .154 .000 .016 .011 .015 .352 .852 .891 .425 .049 .012 .044 .033 .080 .542 .919 .736 .279 .021 .017 .045 .040 1446 -.156 3846 3.938 9.10073 .029893 .720405 .083978 Correlation Surface at 1546 3846 .131 .125 .022 .004 .175 .184 .040 .020 .020 .237 .223 .005 .029 .314 .204 .006 .001 .003 .219 .025 .019 .078 .569 .285 .001 .001 .003 .048 .011 .089 .274 .934 .278 .000 .002 .006 .019 .013 .169 .584 1.000 .182 .020 .059 .004 .021 .009 .091 .462 .789 .087 .074 .052 .009 .017 .000 .054 .309 .555 .019 .105 .012 .000 .017 .000 .082 .148 .369 .003 .102 .005 .024 .011 .009 .018 .041 .421 .004 .059 .000 .019 r_peak,r_snr = 9.76354E-02 12.21249 Correlation Surface of oversamples image at 1546 3846 .012 .000 .035 .168 .350 .489 .434 .220 .075 .001 .001 .039 .200 .459 .631 .485 .201 .059 .001 .005 .066 .295 .655 .803 .503 .160 .035 .008 .028 .142 .468 .892 .909 .453 .105 .011 .030 .082 .254 .640 1.000 .839 .340 .054 .000 .058 .131 .329 .685 .887 .633 .219 .022 .005 .063 .135 .320 .591 .668 .432 .138 .008 .016 .041 .105 .253 .440 .469 .294 .089 .001 .030 .023 .079 .183 .307 .327 .206 .050 .002 .052 1546 .156 3846 -4.656 12.21249 .033184 .623639 .086151 Correlation Surface at 1646 3846 .047 .271 .126 .017 .027 .039 .000 .001 .008 .082 .150 .190 .008 .115 .063 .002 .005 .209 .013 .026 .086 .000 .135 .081 .003 .083 .636 .021 .010 .003 .028 .574 .309 .000 .102 .631 .085 .104 .016 .275 1.000 .308 .033 .065 .357 .401 .269 .070 .177 .141 .007 .079 .000 .128 .533 .138 .019 .000 .184 .048 .125 .113 .061 .020 .003 .003 .056 .423 .026 .173 .105 .035 .006 .041 .003 .210 .330 .006 .104 .020 .010 r_peak,r_snr = 8.70480E-02 7.76387 Correlation Surface of oversamples image at 1646 3846 .013 .004 .057 .136 .157 .111 .061 .025 .002 .001 .017 .105 .206 .215 .157 .089 .030 .000 .002 .062 .234 .385 .398 .311 .183 .065 .002 .022 .182 .484 .698 .723 .572 .330 .128 .010 .081 .369 .743 .982 1.000 .745 .406 .161 .010 .166 .475 .782 .974 .910 .586 .302 .121 .002 .201 .376 .536 .603 .425 .198 .104 .048 .000 .138 .170 .206 .151 .030 .001 .004 .012 .000 .049 .032 .016 .004 .085 .086 .006 .013 .026 1646 5.250 3846 -9.281 7.76387 .023802 .026346 .008668 Correlation Surface at 1846 3846 .022 .002 .041 .135 .303 .285 .096 .015 .005 .053 .033 .081 .132 .359 .297 .149 .027 .015 .049 .130 .193 .359 .642 .509 .192 .032 .009 .039 .141 .222 .631 .975 .629 .148 .025 .014 .016 .069 .211 .776 1.000 .428 .132 .022 .013 .006 .035 .238 .745 .663 .194 .068 .000 .000 .005 .072 .287 .477 .294 .088 .000 .017 .000 .042 .188 .215 .212 .200 .116 .002 .003 .016 .071 .091 .084 .174 .319 .269 .087 .066 .040 r_peak,r_snr = .1451886 13.13389 Correlation Surface of oversamples image at 1846 3846 .123 .198 .291 .394 .514 .595 .594 .525 .387 .161 .261 .377 .522 .692 .785 .741 .603 .412 .172 .290 .435 .636 .850 .922 .802 .590 .379 .163 .291 .471 .728 .962 .965 .746 .489 .312 .141 .274 .494 .794 1.000 .897 .592 .346 .234 .117 .258 .512 .822 .951 .737 .411 .222 .165 .103 .257 .526 .793 .815 .544 .268 .145 .109 .113 .278 .516 .691 .620 .368 .180 .106 .067 .157 .309 .468 .534 .420 .241 .138 .092 .043 1846 -.344 3846 7.813 13.13390 .039554 .162662 .048785 Correlation Surface at 1946 3846 .263 .442 .140 .003 .094 .384 .425 .293 .464 .213 .250 .019 .005 .070 .294 .313 .258 .272 .113 .079 .009 .002 .069 .349 .175 .187 .101 .054 .051 .050 .119 .532 .559 .242 .284 .125 .018 .046 .083 .459 1.000 .715 .553 .518 .289 .005 .061 .166 .506 .698 .823 .858 .529 .309 .028 .085 .374 .377 .610 .676 .683 .348 .068 .033 .112 .392 .459 .679 .373 .269 .182 .000 .041 .101 .187 .569 .556 .223 .150 .053 .000 r_peak,r_snr = 9.85366E-02 6.02101 Correlation Surface of oversamples image at 1946 3846 .058 .054 .004 .046 .279 .613 .750 .574 .348 .009 .001 .012 .118 .410 .710 .688 .474 .343 .001 .023 .113 .324 .645 .795 .631 .451 .407 .018 .127 .374 .666 .888 .847 .626 .513 .519 .067 .343 .722 .945 1.000 .851 .675 .628 .651 .191 .621 .939 .979 .936 .844 .771 .760 .793 .405 .852 .938 .834 .836 .875 .869 .873 .899 .686 .975 .821 .705 .816 .918 .904 .882 .893 .938 .978 .717 .681 .843 .880 .765 .716 .751 1946 2.750 3846 8.188 6.02101 .056272 .066573 .012684 Correlation Surface at 2046 3846 .002 .037 .000 .463 .653 .399 .224 .066 .075 .001 .002 .080 .390 .326 .322 .084 .007 .019 .101 .130 .088 .187 .225 .256 .110 .058 .204 .185 .026 .006 .176 .557 .552 .291 .444 .243 .003 .025 .000 .424 1.000 .378 .169 .187 .080 .000 .004 .008 .694 .532 .077 .037 .000 .111 .303 .003 .035 .750 .413 .230 .027 .000 .017 .646 .032 .070 .752 .587 .243 .000 .008 .043 .603 .027 .013 .450 .193 .014 .001 .002 .049 r_peak,r_snr = 7.71222E-02 7.8579 Correlation Surface of oversamples image at 2046 3846 11.184 4.360 .428 .066 .874 14.086 4.944 .767 .194 .944 13.085 5.325 1.435 .366 .994 13.345 7.502 2.591 .514 1.147 2046 -3.875 3846 7.844 7.85790 .058916 .103218 .046407 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .066 .016 .009 .260 .654 .317 .050 .054 .128 .063 .050 .003 .115 .526 .276 .055 .110 .121 .026 .095 .061 .033 .425 .263 .077 .048 .005 .004 .035 .004 .178 .660 .446 .110 .002 .005 .016 .005 .067 .448 1.000 .707 .075 .000 .003 .121 .031 .057 .285 .838 .635 .034 .001 .017 .139 .018 .023 .115 .552 .433 .039 .001 .004 .039 .001 .003 .035 .391 .449 .073 .006 .026 .008 .014 .019 .019 .484 .608 .104 .043 .034 r_peak,r_snr = .1642761 11.35398 Correlation Surface of oversamples image at 146 4246 .068 .003 .069 .341 .598 .553 .316 .147 .089 .049 .000 .104 .403 .644 .584 .363 .200 .114 .005 .029 .222 .539 .750 .694 .489 .296 .138 .018 .142 .401 .709 .899 .860 .647 .372 .131 .076 .261 .531 .817 1.000 .968 .714 .351 .087 .103 .287 .521 .772 .940 .908 .632 .261 .047 .089 .223 .394 .593 .738 .719 .476 .176 .029 .059 .135 .238 .379 .503 .510 .342 .133 .029 .036 .070 .124 .221 .336 .385 .294 .143 .047 146 .188 4246 1.094 11.35398 .018237 .051846 -.000657 Correlation Surface at 246 4246 .087 .028 .155 .442 .476 .330 .099 .001 .037 .053 .001 .046 .356 .538 .482 .150 .002 .044 .039 .007 .057 .368 .637 .544 .253 .070 .073 .071 .057 .102 .438 .750 .663 .279 .117 .074 .039 .035 .213 .599 1.000 .728 .339 .160 .012 .001 .001 .194 .515 .916 .651 .611 .321 .022 .070 .023 .096 .241 .483 .526 .652 .353 .107 .236 .097 .070 .212 .313 .191 .160 .140 .152 .134 .113 .159 .339 .238 .017 .018 .053 .076 r_peak,r_snr = .1248856 5.44631 Correlation Surface of oversamples image at 246 4246 .011 .062 .195 .382 .508 .531 .453 .332 .229 .047 .119 .269 .472 .613 .644 .568 .422 .275 .090 .176 .357 .589 .737 .772 .691 .503 .301 .107 .219 .459 .733 .886 .896 .772 .535 .307 .089 .241 .548 .862 1.000 .957 .783 .527 .322 .064 .243 .572 .879 .979 .906 .723 .509 .382 .054 .220 .490 .722 .798 .740 .607 .503 .504 .054 .164 .316 .455 .528 .516 .473 .498 .621 .053 .096 .156 .239 .315 .347 .378 .477 .616 246 -.438 4246 -8.813 5.44631 .052941 .213028 .012840 Correlation Surface at 346 4246 .037 .453 .932 .765 .217 .035 .023 .066 .032 .086 .513 .628 .366 .289 .089 .015 .022 .263 .201 .312 .060 .120 .333 .198 .004 .363 .244 .424 .361 .055 .314 .768 .360 .046 .286 .073 .352 .468 .298 .725 1.000 .166 .054 .048 .019 .205 .397 .446 .575 .191 .020 .077 .005 .004 .312 .563 .531 .179 .013 .106 .036 .006 .042 .681 .878 .428 .154 .015 .051 .019 .027 .079 .877 .614 .180 .227 .403 .467 .022 .010 .000 r_peak,r_snr = 8.67384E-02 7.04827 Correlation Surface of oversamples image at 346 4246 .266 1.361 3.100 4.000 3.322 1.901 .781 .332 .284 1.444 3.036 3.707 2.838 1.428 .647 .486 .338 1.320 2.381 2.438 1.457 .582 .338 .404 .547 1.189 1.534 1.046 .349 .089 .114 .219 .917 1.106 .872 .294 .019 .001 .043 .128 346 -1.500 4246 -14.813 7.04827 .042409 .048135 .024703 Correlation Surface at 446 4246 .101 .032 .017 .240 .342 .042 .132 .294 .206 .206 .102 .000 .203 .343 .002 .308 .371 .198 .200 .074 .002 .321 .533 .006 .280 .372 .179 .112 .050 .001 .394 .777 .067 .189 .351 .213 .106 .085 .000 .491 1.000 .141 .128 .296 .195 .059 .041 .001 .350 .719 .117 .103 .311 .164 .008 .017 .001 .148 .443 .077 .116 .430 .177 .006 .025 .005 .153 .569 .138 .088 .398 .140 .002 .009 .001 .243 .748 .181 .062 .254 .080 r_peak,r_snr = .1574577 11.4094 Correlation Surface of oversamples image at 446 4246 .001 .014 .129 .433 .703 .620 .246 .003 .140 .000 .016 .151 .497 .809 .741 .328 .015 .108 .002 .012 .162 .545 .900 .856 .412 .031 .089 .010 .008 .171 .591 .980 .934 .456 .041 .081 .023 .005 .179 .614 1.000 .932 .445 .042 .076 .031 .004 .170 .568 .911 .830 .389 .037 .071 .029 .003 .138 .464 .738 .664 .313 .030 .064 .022 .002 .101 .352 .565 .517 .255 .026 .058 .014 .002 .080 .280 .466 .454 .247 .033 .045 446 -.281 4246 -.188 11.40941 .007014 .057843 -.002331 Correlation Surface at 546 4246 .008 .047 .066 .163 .305 .078 .000 .001 .044 .001 .055 .071 .110 .391 .109 .000 .014 .121 .002 .040 .023 .086 .581 .299 .054 .093 .137 .027 .046 .019 .244 .864 .557 .187 .094 .113 .014 .018 .028 .492 1.000 .594 .214 .054 .110 .001 .001 .017 .463 .928 .446 .197 .087 .100 .006 .003 .012 .330 .619 .215 .137 .126 .071 .036 .009 .008 .170 .266 .083 .127 .105 .059 .027 .003 .008 .132 .146 .089 .159 .051 .016 r_peak,r_snr = .1460264 10.04273 Correlation Surface of oversamples image at 546 4246 .030 .040 .161 .481 .728 .542 .198 .043 .017 .024 .052 .236 .620 .849 .645 .307 .128 .079 .026 .089 .347 .752 .931 .734 .435 .246 .153 .032 .136 .445 .838 .978 .811 .550 .338 .186 .033 .159 .481 .862 1.000 .856 .595 .347 .167 .028 .148 .458 .834 .973 .817 .527 .275 .126 .020 .124 .406 .751 .852 .650 .356 .164 .088 .017 .111 .354 .624 .642 .413 .180 .077 .064 .021 .112 .306 .472 .416 .218 .076 .035 .055 546 -.031 4246 2.031 10.04274 .030221 .463794 .068185 Correlation Surface at 646 4246 .042 .036 .019 .205 .698 .619 .119 .088 .046 .012 .001 .014 .466 .970 .440 .062 .011 .004 .004 .001 .029 .453 .726 .396 .063 .003 .010 .001 .001 .007 .263 .759 .645 .109 .005 .066 .003 .014 .015 .231 1.000 .690 .201 .105 .157 .000 .030 .027 .177 .797 .615 .325 .223 .142 .014 .008 .004 .111 .660 .691 .403 .182 .083 .014 .002 .000 .145 .797 .734 .333 .067 .075 .000 .003 .015 .340 .853 .527 .170 .026 .108 r_peak,r_snr = .1410237 8.35559 Correlation Surface of oversamples image at 646 4246 .001 .006 .102 .360 .640 .750 .592 .304 .116 .001 .027 .224 .608 .889 .841 .536 .233 .087 .000 .075 .396 .845 1.000 .774 .425 .183 .072 .005 .139 .527 .920 .921 .629 .345 .168 .063 .013 .172 .523 .800 .740 .510 .317 .169 .049 .015 .154 .426 .635 .619 .490 .339 .171 .036 .007 .111 .338 .561 .638 .570 .388 .174 .033 646 -.156 4246 -2.781 8.35559 .013980 .094074 -.003238 Correlation Surface at 746 4246 .045 .229 .083 .061 .468 .181 .061 .074 .007 .044 .191 .063 .059 .449 .192 .024 .021 .005 .047 .129 .053 .033 .482 .234 .007 .032 .000 .057 .152 .057 .061 .750 .311 .006 .043 .000 .066 .175 .029 .200 1.000 .291 .004 .030 .002 .047 .104 .011 .205 .611 .200 .001 .049 .039 .020 .065 .008 .082 .368 .216 .000 .065 .050 .005 .022 .003 .061 .423 .210 .000 .042 .041 .001 .001 .000 .112 .403 .160 .001 .044 .063 r_peak,r_snr = .2000352 18.67897 Correlation Surface of oversamples image at 746 4246 .022 .006 .091 .275 .452 .414 .182 .015 .020 .017 .007 .100 .327 .555 .504 .212 .015 .026 .016 .009 .133 .450 .744 .641 .248 .013 .034 .013 .017 .199 .619 .948 .757 .273 .015 .034 .010 .030 .265 .725 1.000 .740 .263 .018 .029 .006 .041 .286 .672 .841 .607 .232 .021 .025 .003 .044 .240 .496 .606 .472 .209 .023 .021 .001 .036 .160 .324 .443 .404 .205 .027 .017 .000 .024 .103 .240 .397 .409 .217 .031 .011 746 .031 4246 -.156 18.67897 .004030 .022077 .002163 Correlation Surface at 846 4246 .000 .028 .246 .551 .312 .005 .007 .050 .173 .070 .049 .061 .255 .161 .044 .002 .134 .145 .088 .002 .001 .068 .247 .316 .001 .224 .116 .012 .032 .076 .141 .769 .632 .001 .303 .012 .016 .459 .529 .372 1.000 .342 .002 .076 .054 .061 .975 .696 .427 .571 .046 .005 .008 .099 .107 .755 .362 .358 .374 .014 .001 .034 .036 .102 .235 .233 .670 .571 .053 .015 .012 .001 .006 .083 .401 .949 .507 .139 .078 .043 .003 r_peak,r_snr = 8.08994E-02 7.7535 Correlation Surface of oversamples image at 846 4246 .377 .946 1.789 3.090 4.000 3.457 1.706 .309 .003 .667 1.005 1.583 2.592 3.194 2.488 1.027 .156 .001 .558 .544 .791 1.400 1.719 1.186 .457 .116 .030 .142 .069 .145 .456 .654 .472 .300 .267 .255 .004 .019 .002 .146 .312 .352 .527 .761 .731 846 -.938 4246 -6.844 7.75350 .053845 .192729 .068153 Correlation Surface at 1046 4246 .108 .000 .012 .137 .902 .364 .067 .118 .001 .041 .003 .000 .149 .423 .283 .206 .077 .027 .009 .020 .012 .013 .244 .531 .300 .008 .026 .002 .042 .020 .001 .631 .863 .155 .001 .025 .005 .000 .007 .058 1.000 .514 .021 .006 .105 .012 .001 .028 .079 .702 .225 .017 .001 .124 .179 .078 .065 .055 .501 .236 .099 .003 .068 .322 .120 .029 .040 .272 .268 .182 .004 .042 .159 .038 .031 .000 .106 .311 .152 .001 .035 r_peak,r_snr = .1165621 13.52287 Correlation Surface of oversamples image at 1046 4246 .215 .406 .562 .611 .519 .351 .215 .133 .075 .181 .250 .330 .458 .541 .483 .345 .178 .048 .074 .089 .184 .431 .664 .645 .416 .142 .008 .007 .017 .145 .530 .856 .750 .376 .070 .002 .003 .005 .197 .715 1.000 .721 .269 .024 .011 .011 .014 .312 .861 .985 .585 .181 .012 .009 .008 .039 .393 .845 .818 .430 .136 .015 .002 .005 .051 .372 .703 .615 .318 .121 .024 .000 .007 .036 .297 .563 .486 .266 .116 .026 .000 1046 .406 4246 3.281 13.52288 .013269 .074258 .015960 Correlation Surface at 1146 4246 .191 .019 .006 .003 .000 .004 .038 .012 .035 .007 .002 .088 .027 .018 .022 .005 .023 .259 .021 .068 .034 .011 .384 .292 .082 .280 .257 .434 1.000 .307 .272 .727 .743 .658 .616 .069 .375 .916 .682 .203 .091 .002 .360 .717 .413 .142 .217 .126 .279 .384 .272 .370 .632 .347 r_peak,r_snr = 8.47303E-02 7.50635 Correlation Surface of oversamples image at 1146 4246 .006 .072 .206 .238 .172 .186 .408 .778 .033 .178 .387 .454 .408 .458 .694 .901 .094 .322 .618 .749 .689 .635 .651 .586 .145 .434 .807 .973 .821 .563 .351 .211 .149 .458 .857 1.000 .738 .350 .116 .054 .113 .396 .746 .827 .527 .180 .044 .044 .071 .300 .548 .566 .333 .116 .065 .124 .077 .271 .431 .432 .297 .189 .221 .345 1146 10.438 4246 6.813 7.50635 .043205 .068313 .032255 Correlation Surface at 1246 4246 .099 .122 .147 .538 .898 .709 .442 .148 .048 .172 .062 .047 .336 .547 .387 .157 .034 .015 .128 .016 .015 .135 .288 .308 .159 .099 .034 .021 .007 .010 .124 .526 .700 .426 .229 .055 .001 .011 .029 .346 1.000 .946 .493 .253 .068 .009 .038 .122 .458 .823 .709 .394 .282 .061 .021 .091 .161 .189 .522 .561 .399 .266 .039 .013 .137 .063 .076 .441 .451 .362 .191 .055 .028 .119 .033 .133 .397 .350 .320 .237 .151 r_peak,r_snr = .1477266 8.52714 Correlation Surface of oversamples image at 1246 4246 .094 .139 .212 .307 .357 .304 .203 .126 .088 .061 .110 .230 .398 .484 .423 .309 .230 .178 .048 .131 .338 .590 .692 .617 .492 .391 .291 .055 .202 .522 .825 .903 .807 .671 .534 .367 .087 .319 .719 .988 1.000 .886 .746 .579 .376 .147 .438 .815 .978 .938 .823 .681 .510 .339 .202 .467 .732 .821 .787 .681 .529 .387 .297 .198 .369 .540 .641 .653 .541 .380 .285 .275 .135 .227 .371 .522 .570 .438 .277 .228 .261 1246 .219 4246 2.125 8.52714 .030614 .041582 .012327 Correlation Surface at 1346 4246 .037 .014 .005 .002 .088 .322 .335 .153 .039 .076 .037 .022 .018 .170 .371 .155 .012 .012 .093 .042 .073 .000 .385 .475 .028 .001 .037 .068 .029 .079 .023 .708 .467 .004 .000 .022 .035 .041 .046 .116 1.000 .426 .020 .001 .002 .002 .012 .000 .240 .906 .443 .077 .000 .000 .006 .013 .055 .118 .404 .242 .034 .001 .008 .072 .038 .010 .003 .094 .052 .010 .038 .127 .132 .005 .105 .070 .034 .050 .086 .251 .223 r_peak,r_snr = .1170959 13.93224 Correlation Surface of oversamples image at 1346 4246 .065 .049 .000 .110 .388 .558 .476 .257 .081 .058 .026 .012 .218 .566 .700 .503 .214 .049 .061 .013 .042 .350 .755 .820 .511 .190 .042 .061 .004 .092 .503 .919 .881 .502 .192 .060 .040 .000 .164 .644 1.000 .865 .488 .219 .106 .007 .017 .249 .721 .974 .807 .480 .256 .158 .005 .061 .302 .674 .846 .711 .443 .256 .155 .052 .111 .281 .519 .662 .575 .353 .191 .092 .118 .125 .192 .331 .466 .408 .228 .106 .033 1346 .094 4246 2.031 13.93225 .012570 .195494 .020364 Correlation Surface at 1446 4246 .035 .026 .040 .277 .343 .003 .072 .023 .071 .000 .007 .008 .451 .344 .037 .057 .007 .017 .002 .001 .050 .674 .435 .019 .000 .000 .003 .014 .005 .164 .815 .851 .282 .035 .001 .013 .059 .033 .284 .898 1.000 .471 .083 .005 .006 .085 .154 .268 .701 .952 .386 .015 .024 .013 .091 .136 .156 .685 .704 .121 .027 .112 .062 .057 .029 .128 .639 .321 .011 .128 .199 .078 .021 .016 .089 .473 .316 .014 .093 .087 .016 r_peak,r_snr = .1128308 10.51488 Correlation Surface of oversamples image at 1446 4246 .035 .195 .414 .504 .425 .244 .091 .022 .002 .053 .218 .436 .605 .625 .442 .219 .085 .029 .088 .258 .493 .739 .827 .635 .352 .165 .072 .151 .312 .553 .840 .958 .764 .447 .232 .105 .232 .367 .599 .885 1.000 .791 .477 .254 .104 .291 .409 .632 .895 .958 .716 .423 .205 .059 .310 .436 .668 .891 .852 .577 .313 .114 .012 .295 .447 .698 .850 .702 .426 .195 .036 .002 .249 .427 .676 .734 .536 .301 .106 .002 .031 1446 .938 4246 -3.500 10.51489 .081142 .835264 -.111221 Correlation Surface at 1546 4246 .118 .174 .113 .085 .221 .304 .252 .059 .001 .126 .197 .193 .171 .407 .395 .184 .023 .003 .088 .214 .222 .362 .613 .352 .112 .008 .001 .084 .199 .197 .485 .803 .482 .096 .009 .012 .092 .090 .131 .468 1.000 .541 .015 .049 .018 .019 .014 .079 .404 .854 .343 .002 .039 .085 .000 .014 .045 .187 .441 .325 .067 .047 .256 .019 .054 .011 .035 .291 .402 .077 .056 .297 .047 .064 .027 .103 .341 .299 .041 .021 .106 r_peak,r_snr = .1545488 15.02789 Correlation Surface of oversamples image at 1546 4246 .064 .045 .046 .104 .246 .366 .348 .234 .136 .082 .086 .116 .242 .452 .543 .445 .278 .156 .126 .166 .257 .473 .712 .731 .542 .320 .165 .189 .273 .438 .711 .923 .864 .611 .346 .167 .240 .350 .555 .827 1.000 .911 .647 .365 .177 .242 .339 .529 .784 .964 .917 .677 .392 .191 .182 .244 .399 .656 .895 .921 .701 .407 .186 .096 .133 .265 .537 .837 .894 .664 .369 .142 .036 .065 .186 .469 .772 .785 .548 .288 .089 1546 -.406 4246 -4.500 15.02790 .015526 .128422 .003381 Correlation Surface at 1646 4246 .000 .015 .005 .232 .423 .206 .022 .005 .042 .028 .013 .001 .191 .377 .265 .045 .011 .057 .015 .071 .000 .240 .557 .443 .022 .021 .033 .010 .041 .014 .289 .862 .493 .000 .044 .065 .005 .007 .019 .369 1.000 .259 .003 .118 .160 .001 .049 .018 .300 .713 .221 .010 .145 .106 .063 .089 .000 .138 .729 .358 .006 .078 .015 .051 .052 .026 .235 .954 .349 .005 .018 .008 .004 .038 .002 .372 .739 .252 .018 .013 .026 r_peak,r_snr = .1437138 13.86164 Correlation Surface of oversamples image at 1646 4246 .001 .062 .165 .274 .373 .396 .279 .104 .010 .001 .054 .163 .328 .500 .528 .327 .091 .003 .001 .047 .192 .460 .716 .679 .345 .069 .001 .001 .057 .284 .679 .941 .737 .289 .042 .000 .001 .092 .417 .859 1.000 .628 .187 .022 .000 .001 .129 .476 .839 .845 .445 .111 .012 .001 .002 .121 .390 .658 .645 .332 .092 .011 .007 .000 .066 .244 .489 .544 .329 .118 .014 .016 .002 .019 .154 .438 .580 .415 .173 .020 .016 1646 -.094 4246 -.063 13.86164 .009521 .100528 .008389 Correlation Surface at 1746 4246 .125 .066 .001 .343 .461 .467 .117 .245 .016 .413 .117 .031 .361 .710 .551 .077 .155 .000 .256 .012 .075 .286 .621 .238 .021 .014 .019 .010 .042 .148 .380 .599 .301 .028 .044 .063 .002 .107 .378 .686 1.000 .809 .014 .217 .209 .019 .083 .506 .471 .954 .675 .003 .433 .612 .061 .029 .119 .074 .514 .279 .000 .654 .800 .051 .004 .000 .056 .206 .189 .043 .467 .314 .085 .067 .001 .065 .111 .307 .087 .242 .018 r_peak,r_snr = 8.09869E-02 8.65742 Correlation Surface of oversamples image at 1746 4246 .122 .208 .328 .374 .290 .158 .062 .024 .026 .266 .363 .446 .456 .376 .256 .149 .070 .033 .439 .530 .586 .615 .570 .461 .287 .101 .009 .556 .602 .661 .772 .813 .690 .369 .071 .004 .545 .522 .610 .849 1.000 .797 .320 .021 .043 .393 .317 .433 .764 .948 .640 .180 .001 .080 .190 .126 .240 .537 .630 .346 .069 .002 .092 .064 .043 .127 .296 .295 .141 .032 .001 .080 .021 .023 .071 .128 .105 .065 .038 .002 .054 1746 .500 4246 5.688 8.65742 .259379 .305377 -.101647 Correlation Surface at 1846 4246 .170 .053 .014 .240 .178 .077 .013 .184 .206 .089 .008 .037 .189 .133 .151 .041 .029 .041 .052 .001 .049 .233 .258 .518 .171 .002 .003 .113 .003 .090 .385 .679 .705 .069 .000 .032 .161 .021 .113 .703 1.000 .399 .025 .007 .073 .144 .065 .131 .688 .489 .243 .074 .007 .079 .176 .118 .068 .248 .206 .458 .140 .023 .040 .186 .068 .038 .217 .430 .746 .102 .008 .014 .081 .015 .073 .354 .704 .609 .084 .004 .161 r_peak,r_snr = .10903 11.07456 Correlation Surface of oversamples image at 1846 4246 .100 .134 .109 .113 .165 .216 .225 .180 .078 .073 .083 .096 .176 .325 .425 .363 .204 .057 .053 .088 .182 .383 .619 .652 .418 .162 .029 .046 .142 .360 .676 .888 .729 .349 .095 .012 .061 .242 .576 .921 1.000 .670 .268 .066 .012 1846 -.750 4246 -3.219 11.07457 .045094 .053984 .023318 Correlation Surface at 1946 4246 .024 .115 .297 .425 .545 .601 .428 .173 .004 .003 .027 .125 .485 1.000 .548 .149 .045 .013 .085 .038 .034 .417 .661 .107 .084 .004 .025 .148 .054 .024 .224 .075 .054 .010 .006 .024 .027 .001 .072 .104 .006 .077 .002 .000 .005 .002 .146 .385 .123 .070 .070 .039 .014 .003 r_peak,r_snr = 8.86820E-02 8.64326 Correlation Surface of oversamples image at 1946 4246 .156 .292 .422 .473 .356 .193 .140 .222 .394 .310 .377 .444 .474 .390 .286 .282 .392 .531 .302 .298 .365 .480 .541 .529 .491 .472 .487 .162 .176 .307 .564 .805 .801 .555 .365 .322 .049 .111 .310 .695 1.000 .803 .362 .172 .171 .010 .086 .327 .750 .915 .496 .124 .055 .088 .001 .061 .284 .612 .548 .160 .017 .016 .034 .000 .035 .190 .346 .183 .019 .001 .003 .001 .000 .020 .110 .130 .030 .001 .001 .000 .024 1946 1.031 4246 -13.875 8.64326 .057011 .084990 .027180 Correlation Surface at 2046 4246 .056 .014 .006 .058 .458 .273 .001 .081 .065 .056 .017 .003 .194 .382 .142 .001 .011 .006 .031 .002 .071 .189 .322 .229 .043 .002 .015 .002 .000 .052 .177 .629 .520 .115 .006 .032 .001 .001 .038 .405 1.000 .580 .066 .000 .020 .005 .016 .089 .551 .843 .283 .014 .024 .001 .059 .071 .135 .301 .432 .059 .025 .072 .004 .096 .117 .095 .080 .112 .018 .058 .082 .007 .183 .227 .026 .011 .016 .007 .051 .084 .006 r_peak,r_snr = .1234267 12.03245 Correlation Surface of oversamples image at 2046 4246 .069 .095 .107 .181 .325 .385 .258 .089 .011 .043 .072 .135 .314 .554 .588 .353 .121 .017 .024 .075 .230 .556 .823 .731 .394 .130 .016 .028 .122 .404 .827 .997 .754 .371 .105 .006 .057 .202 .573 .969 1.000 .687 .298 .056 .000 .095 .263 .615 .902 .877 .578 .203 .020 .000 .109 .251 .506 .711 .707 .438 .117 .009 .002 .089 .175 .336 .509 .519 .289 .070 .017 .026 .055 .091 .198 .343 .338 .178 .063 .054 .081 2046 5.813 4246 .375 12.03245 .031082 .107046 .030996 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .065 .015 .088 .337 .469 .225 .215 .156 .001 .005 .003 .058 .237 .301 .106 .087 .059 .001 .002 .002 .003 .097 .180 .088 .073 .041 .024 .000 .001 .000 .166 .518 .228 .107 .117 .095 .006 .001 .049 .596 1.000 .311 .112 .127 .035 .037 .010 .084 .502 .443 .205 .113 .080 .027 .087 .075 .003 .007 .030 .148 .248 .182 .107 .037 .037 .050 .011 .032 .222 .413 .251 .084 .000 .001 .004 .053 .157 .302 .219 .010 .000 r_peak,r_snr = .1207454 12.62109 Correlation Surface of oversamples image at 146 4646 .004 .001 .026 .063 .083 .080 .066 .059 .061 .009 .000 .019 .093 .193 .232 .186 .128 .095 .009 .000 .031 .192 .450 .543 .403 .231 .132 .004 .002 .079 .383 .788 .867 .594 .301 .143 .001 .019 .191 .615 1.000 .942 .586 .274 .115 .000 .053 .306 .699 .870 .677 .383 .175 .072 .002 .057 .276 .477 .446 .282 .156 .085 .045 .012 .017 .104 .135 .085 .044 .036 .042 .045 .033 .002 .000 .000 .002 .000 .006 .036 .076 146 .688 4646 -.031 12.62109 .020562 .023840 .004830 Correlation Surface at 246 4646 .002 .040 .131 .000 .354 .094 .089 .005 .176 .459 .069 .011 .020 .280 .611 .052 .017 .013 .307 .988 .074 .009 .097 .504 1.000 .030 .029 .357 .362 .356 .006 .252 .393 .099 .056 .166 .537 .234 .077 .235 .350 .352 .053 .155 .525 r_peak,r_snr = .1030255 9.71041 Correlation Surface of oversamples image at 246 4646 .026 .115 .229 .404 .572 .549 .337 .136 .030 .074 .188 .310 .482 .616 .556 .324 .109 .010 .071 .181 .339 .561 .725 .648 .359 .092 .001 .035 .142 .352 .657 .882 .782 .400 .074 .001 .015 .118 .366 .738 1.000 .863 .406 .058 .004 .016 .126 .373 .733 .968 .804 .353 .049 .002 .042 .164 .354 .612 .759 .597 .250 .043 .000 .102 .207 .295 .409 .457 .332 .141 .038 .004 .178 .226 .210 .215 .201 .140 .076 .040 .013 246 14.094 4646 -11.844 9.71041 .032121 .069839 .013855 Correlation Surface at 346 4646 .351 .087 .026 .015 .010 .002 .001 .011 .000 .423 .277 .097 .012 .026 .027 .014 .001 .054 .601 .591 .273 .087 .153 .236 .123 .022 .004 .882 .963 .480 .526 .812 .572 .253 .145 .157 .842 .866 .521 .933 1.000 .521 .519 .326 .100 .304 .334 .275 .577 .371 .377 .739 .201 .006 .106 .309 .336 .454 .228 .264 .409 .024 .007 .116 .520 .565 .479 .267 .164 .152 .011 .126 .017 .243 .425 .336 .173 .179 .126 .034 .250 r_peak,r_snr = 9.72230E-02 7.04736 Correlation Surface of oversamples image at 346 4646 .504 .466 .365 .188 .056 .007 .002 .493 .538 .464 .265 .103 .031 .016 .530 .656 .606 .388 .194 .103 .087 .622 .835 .814 .572 .347 .250 .254 .711 .996 1.000 .749 .505 .411 .444 .682 .983 .996 .764 .531 .447 .494 .516 .761 .772 .592 .412 .355 .398 .321 .493 .504 .394 .285 .258 .288 .198 .332 .357 .304 .248 .238 .249 346 -.125 4646 -3.250 7.04736 .126038 .055318 .017609 Correlation Surface at 446 4646 .177 .253 .087 .119 .584 .243 .001 .131 .248 .130 .262 .059 .205 .743 .340 .003 .123 .183 .141 .168 .002 .312 .877 .442 .011 .088 .074 .122 .055 .007 .323 .969 .454 .006 .030 .047 .093 .024 .009 .330 1.000 .331 .001 .025 .095 .099 .036 .003 .347 .768 .186 .001 .053 .137 .151 .089 .000 .376 .572 .155 .000 .062 .111 .144 .132 .005 .263 .418 .138 .000 .050 .068 .071 .168 .020 .127 .253 .086 .002 .079 .060 r_peak,r_snr = .1807429 11.64482 Correlation Surface of oversamples image at 446 4646 .087 .001 .088 .335 .553 .541 .306 .069 .001 .079 .001 .151 .468 .710 .658 .361 .086 .000 .051 .015 .241 .618 .863 .754 .399 .097 .000 .022 .041 .321 .732 .968 .812 .420 .109 .001 .004 .069 .367 .783 1.000 .809 .411 .113 .002 .000 .089 .385 .789 .973 .748 .363 .100 .003 .004 .106 .393 .776 .910 .649 .295 .077 .003 .011 .117 .397 .755 .824 .539 .230 .057 .001 .015 .117 .395 .720 .723 .438 .183 .046 .001 446 .031 4646 -.688 11.64483 .007286 .157044 .013883 Correlation Surface at 546 4646 .000 .027 .218 .334 .411 .399 .388 .336 .165 .003 .031 .180 .413 .654 .577 .404 .310 .180 .015 .034 .141 .457 .819 .660 .417 .327 .142 .026 .027 .097 .450 .900 .647 .382 .233 .068 .022 .014 .103 .552 1.000 .669 .318 .158 .040 .015 .012 .113 .522 .968 .707 .289 .119 .022 .018 .006 .050 .349 .869 .665 .278 .085 .027 .025 .002 .020 .267 .757 .595 .304 .090 .054 .026 .004 .029 .283 .646 .574 .315 .114 .039 r_peak,r_snr = .2239936 8.25989 Correlation Surface of oversamples image at 546 4646 .107 .221 .427 .674 .850 .867 .726 .548 .415 .091 .212 .439 .720 .917 .903 .712 .519 .391 .083 .217 .467 .777 .969 .898 .666 .471 .354 .092 .247 .520 .839 .996 .872 .624 .434 .321 .117 .289 .571 .876 1.000 .858 .613 .417 .294 .141 .314 .586 .874 .994 .869 .626 .409 .270 .141 .303 .562 .843 .985 .889 .639 .395 .243 .115 .264 .512 .797 .964 .889 .628 .367 .211 .081 .218 .461 .747 .928 .863 .597 .338 .186 546 -.031 4646 -1.156 8.25989 .011461 .345167 .003385 Correlation Surface at 646 4646 .000 .022 .053 .258 .456 .295 .082 .018 .002 .012 .079 .099 .292 .477 .278 .102 .027 .029 .059 .140 .125 .299 .610 .407 .180 .011 .055 .041 .068 .065 .367 .977 .634 .192 .001 .045 .005 .007 .037 .513 1.000 .579 .139 .001 .037 .001 .001 .077 .479 .707 .491 .154 .014 .021 .000 .022 .134 .337 .607 .532 .168 .016 .002 .019 .081 .116 .264 .629 .515 .136 .020 .007 .044 .042 .063 .238 .495 .347 .111 .048 .016 r_peak,r_snr = .2172828 11.22598 Correlation Surface of oversamples image at 646 4646 .044 .091 .198 .317 .359 .292 .194 .135 .106 .052 .110 .231 .376 .450 .402 .304 .223 .154 .056 .124 .280 .495 .634 .598 .463 .319 .190 .052 .140 .360 .672 .861 .793 .584 .369 .192 .049 .167 .458 .830 1.000 .862 .590 .343 .167 .051 .202 .526 .872 .968 .778 .501 .286 .143 .063 .236 .535 .792 .817 .628 .410 .254 .138 .086 .256 .487 .653 .647 .512 .373 .258 .142 .117 .256 .412 .526 .540 .476 .389 .272 .137 646 -.031 4646 .688 11.22598 .009947 .068098 .007497 Correlation Surface at 746 4646 .048 .003 .000 .017 .234 .388 .044 .024 .040 .003 .003 .001 .020 .360 .346 .017 .022 .006 .010 .004 .001 .024 .506 .383 .055 .000 .024 .004 .001 .001 .120 .847 .634 .088 .008 .029 .002 .018 .000 .236 1.000 .692 .086 .000 .010 .000 .030 .000 .158 .636 .427 .076 .001 .024 .015 .031 .000 .055 .398 .257 .036 .015 .078 .011 .008 .001 .032 .443 .249 .012 .069 .116 .002 .000 .005 .075 .606 .269 .002 .091 .105 r_peak,r_snr = .1674026 16.21846 Correlation Surface of oversamples image at 746 4646 .001 .042 .180 .376 .465 .367 .211 .092 .018 .004 .069 .253 .501 .615 .509 .300 .112 .010 .016 .118 .362 .673 .819 .678 .376 .117 .005 .033 .172 .467 .830 .991 .787 .401 .110 .005 .039 .190 .493 .861 1.000 .748 .354 .094 .008 .027 .152 .405 .713 .809 .577 .258 .073 .013 .008 .082 .251 .476 .549 .377 .161 .051 .013 .000 .026 .126 .293 .358 .239 .100 .036 .007 .006 .004 .068 .213 .275 .184 .082 .028 .001 746 .438 4646 -.219 16.21846 .010454 .047745 .004505 Correlation Surface at 846 4646 .011 .001 .017 .039 .020 .015 .009 .000 .005 .014 .008 .021 .106 .188 .124 .021 .000 .000 .001 .002 .021 .260 .529 .322 .051 .014 .005 .001 .000 .025 .275 .812 .412 .053 .016 .000 .001 .004 .021 .286 1.000 .322 .010 .001 .000 .003 .000 .012 .304 .815 .179 .001 .005 .001 .019 .026 .000 .222 .562 .113 .000 .009 .008 .060 .089 .001 .233 .440 .108 .017 .000 .028 .061 .051 .004 .274 .371 .113 .010 .011 .049 r_peak,r_snr = .1538771 22.87318 Correlation Surface of oversamples image at 846 4646 .119 .255 .543 .792 .763 .464 .156 .034 .016 .066 .173 .427 .710 .779 .534 .208 .053 .028 .024 .078 .265 .593 .811 .629 .249 .053 .024 .005 .025 .163 .555 .910 .719 .246 .033 .009 .002 .010 .135 .597 1.000 .711 .184 .007 .000 .002 .007 .142 .631 .958 .570 .093 .002 .015 .000 .006 .150 .604 .802 .394 .030 .029 .042 .002 .004 .152 .557 .659 .283 .009 .046 .039 .012 .003 .166 .536 .583 .240 .009 .023 .008 846 .031 4646 .125 22.87318 .008315 .114656 .009336 Correlation Surface at 946 4646 .002 .000 .016 .322 .273 .025 .000 .036 .103 .000 .001 .046 .330 .293 .137 .000 .124 .103 .012 .006 .109 .477 .581 .242 .013 .126 .084 .071 .001 .238 .705 .817 .197 .013 .091 .080 .036 .026 .340 .952 1.000 .248 .001 .066 .056 .000 .064 .308 .940 .956 .294 .002 .030 .023 .004 .007 .101 .537 .600 .258 .000 .001 .000 .055 .018 .010 .290 .409 .149 .000 .037 .012 .039 .043 .001 .154 .275 .063 .015 .068 .008 r_peak,r_snr = .1461358 9.64167 Correlation Surface of oversamples image at 946 4646 .118 .245 .351 .434 .461 .373 .187 .039 .000 .189 .335 .466 .555 .558 .427 .204 .043 .000 .261 .427 .588 .696 .697 .532 .257 .061 .001 .311 .496 .699 .857 .877 .674 .334 .092 .006 .307 .500 .750 .965 1.000 .762 .392 .124 .014 .228 .404 .667 .907 .948 .721 .388 .134 .018 .114 .245 .477 .708 .767 .598 .335 .119 .015 .033 .112 .298 .511 .585 .471 .269 .089 .007 .003 .045 .196 .391 .464 .378 .207 .057 .003 946 -.188 4646 -8.375 9.64167 .020547 .320912 .005888 Correlation Surface at 1046 4646 .010 .003 .039 .098 .783 .280 .040 .005 .038 .019 .215 .080 .177 .786 .233 .017 .006 .003 .075 .188 .000 .277 .706 .102 .022 .001 .073 .048 .006 .087 .350 .770 .154 .006 .032 .012 .000 .015 .066 .462 1.000 .477 .131 .000 .013 .032 .002 .094 .514 .706 .380 .036 .069 .047 .007 .012 .181 .280 .133 .079 .007 .043 .022 .133 .032 .196 .072 .007 .060 .019 .018 .018 .097 .005 .214 .073 .049 .065 .013 .093 .085 r_peak,r_snr = 9.13480E-02 9.98867 Correlation Surface of oversamples image at 1046 4646 .003 .108 .337 .541 .483 .192 .014 .005 .011 .062 .225 .460 .652 .580 .261 .044 .001 .001 .160 .343 .587 .782 .718 .412 .158 .055 .023 .205 .404 .688 .912 .891 .644 .394 .224 .105 .168 .401 .740 .984 1.000 .839 .634 .391 .151 .114 .380 .724 .912 .919 .830 .671 .384 .103 .085 .360 .614 .667 .634 .587 .471 .232 .038 .069 .306 .411 .346 .295 .282 .235 .105 .011 .044 .195 .188 .105 .080 .102 .112 .055 .007 1046 -.219 4646 3.031 9.98867 .038688 .170155 -.009336 Correlation Surface at 1146 4646 .185 .020 .129 .391 .021 .012 .046 .039 .016 .155 .089 .461 .319 .020 .007 .076 .021 .002 .085 .079 .072 .119 .137 .036 .001 .008 .003 .221 .025 .008 .192 .437 .412 .105 .069 .054 .312 .159 .000 .510 1.000 .544 .174 .195 .348 .217 .191 .005 .414 .597 .142 .028 .200 .328 .315 .237 .000 .130 .151 .001 .059 .060 .034 .505 .238 .004 .195 .318 .000 .039 .051 .005 .603 .159 .020 .183 .502 .061 .016 .043 .047 r_peak,r_snr = 8.11429E-02 8.91222 Correlation Surface of oversamples image at 1146 4646 .280 .180 .226 .367 .424 .311 .145 .029 .001 .051 .068 .211 .450 .572 .516 .308 .100 .032 .007 .061 .272 .553 .740 .747 .473 .197 .122 .012 .116 .379 .679 .914 .895 .553 .276 .240 .037 .197 .476 .792 1.000 .867 .509 .299 .311 .061 .236 .493 .782 .885 .677 .395 .270 .280 .050 .180 .366 .563 .594 .429 .256 .172 .132 .018 .079 .179 .302 .337 .245 .129 .045 .006 .003 .027 .093 .205 .258 .176 .051 .000 .039 1146 .094 4646 -4.063 8.91222 .070064 .066098 .025508 Correlation Surface at 1246 4646 .107 .019 .021 .294 .750 .408 .076 .034 .019 .191 .011 .006 .236 .675 .556 .272 .136 .039 .093 .002 .002 .164 .566 .555 .261 .093 .015 .010 .000 .023 .270 .779 .567 .086 .005 .000 .004 .021 .097 .483 1.000 .438 .032 .000 .001 r_peak,r_snr = .1423825 10.77203 Correlation Surface of oversamples image at 1246 4646 .001 .043 .219 .504 .705 .709 .591 .443 .332 .003 .054 .219 .476 .673 .695 .597 .447 .316 .015 .082 .260 .534 .747 .768 .631 .411 .236 .036 .125 .343 .665 .891 .873 .631 .324 .141 .062 .180 .445 .795 1.000 .898 .555 .231 .088 .086 .224 .495 .815 .959 .786 .437 .177 .082 .096 .224 .441 .682 .765 .601 .343 .172 .113 .080 .165 .307 .472 .537 .444 .294 .198 .170 .040 .083 .172 .296 .372 .348 .277 .231 .222 1246 .063 4646 13.625 10.77203 .016807 .070077 .010685 Correlation Surface at 1346 4646 .003 .026 .047 .004 .035 .000 .005 .043 .081 .094 .157 .072 .000 .006 .103 .088 .031 .105 .249 .162 .075 .033 .340 .398 .029 .167 .097 .113 .100 .079 .180 .833 .539 .032 .259 .180 .010 .046 .026 .221 1.000 .509 .025 .084 .207 .037 .009 .004 .151 .724 .231 .003 .020 .076 .102 .080 .001 .217 .392 .038 .064 .066 .025 .040 .001 .117 .290 .088 .061 .275 .139 .005 .008 .109 .224 .118 .010 .257 .431 .066 .053 r_peak,r_snr = 8.17930E-02 8.96867 Correlation Surface of oversamples image at 1346 4646 .038 .013 .000 .000 .026 .143 .190 .093 .005 .057 .014 .002 .027 .195 .431 .394 .148 .001 .081 .025 .032 .176 .531 .763 .531 .129 .017 .088 .052 .134 .456 .884 .948 .513 .054 .110 .067 .076 .250 .645 1.000 .925 .393 .007 .202 .031 .066 .245 .580 .892 .806 .286 .000 .147 .004 .027 .151 .434 .766 .710 .244 .004 .024 .003 .003 .086 .365 .704 .646 .246 .038 .010 .018 .000 .088 .384 .664 .559 .233 .078 .049 1346 -9.781 4646 -12.156 8.96867 .031912 .308064 .025935 Correlation Surface at 1446 4646 .010 .027 .005 .150 .636 .155 .041 .000 .047 .037 .030 .002 .138 .395 .129 .077 .005 .050 .025 .029 .025 .067 .277 .301 .069 .001 .009 .006 .041 .016 .080 .614 .559 .106 .020 .000 .010 .030 .004 .259 1.000 .605 .203 .043 .009 .003 .002 .043 .409 .761 .533 .184 .039 .001 .000 .009 .025 .205 .404 .396 .116 .012 .012 .020 .008 .000 .067 .308 .374 .099 .002 .003 .091 .053 .032 .073 .325 .403 .039 .004 .002 r_peak,r_snr = .1508455 15.14542 Correlation Surface of oversamples image at 1446 4646 .051 .013 .005 .065 .167 .290 .335 .218 .080 .062 .017 .004 .101 .334 .553 .511 .276 .109 .048 .007 .022 .231 .618 .812 .617 .316 .150 .021 .000 .089 .460 .891 .931 .639 .348 .181 .003 .015 .206 .679 1.000 .898 .624 .380 .189 .001 .048 .313 .754 .922 .796 .614 .407 .179 .007 .077 .345 .665 .741 .684 .602 .400 .157 .012 .089 .304 .499 .557 .588 .566 .360 .135 .010 .082 .226 .341 .416 .501 .497 .311 .119 1446 .125 4646 3.906 15.14542 .012776 .044027 .007923 Correlation Surface at 1546 4646 .093 .071 .027 .238 .662 .128 .000 .026 .020 .037 .054 .001 .480 .566 .040 .004 .002 .002 .013 .079 .004 .287 .379 .064 .005 .003 .001 .036 .171 .004 .138 .621 .299 .001 .000 .003 .036 .121 .006 .148 1.000 .355 .004 .006 .038 .007 .015 .004 .116 .657 .131 .000 .015 .040 .024 .002 .021 .035 .263 .089 .006 .001 .018 .050 .008 .007 .023 .174 .188 .035 .000 .001 .007 .008 .026 .069 .170 .322 .025 .004 .000 r_peak,r_snr = .1227109 16.86561 Correlation Surface of oversamples image at 1546 4646 .001 .063 .167 .251 .246 .158 .052 .000 .024 .000 .046 .144 .252 .318 .281 .130 .009 .018 .000 .045 .158 .326 .515 .522 .260 .029 .008 .000 .061 .198 .460 .795 .798 .377 .053 .001 .010 .088 .235 .579 1.000 .928 .398 .063 .001 .037 .105 .232 .588 .978 .821 .322 .056 .004 .066 .089 .167 .451 .734 .572 .221 .047 .007 .067 .046 .078 .255 .441 .357 .161 .048 .011 .040 .010 .020 .119 .258 .259 .156 .064 .022 1546 .188 4646 .125 16.86561 .009532 .047866 .002385 Correlation Surface at 1646 4646 .060 .131 .083 .203 .255 .027 .008 .080 .036 .111 .147 .112 .397 .247 .003 .002 .018 .001 .021 .088 .163 .285 .098 .044 .025 .001 .025 .007 .126 .156 .217 .343 .286 .089 .019 .020 .072 .183 .163 .428 1.000 .404 .092 .060 .027 .111 .180 .255 .713 .982 .333 .137 .118 .010 .080 .236 .537 .853 .578 .328 .254 .078 .001 .105 .420 .783 .656 .296 .275 .156 .003 .021 .183 .481 .488 .313 .179 .223 .044 .005 .019 r_peak,r_snr = .141221 9.45705 Correlation Surface of oversamples image at 1646 4646 .101 .101 .117 .108 .092 .101 .129 .113 .053 .069 .068 .112 .171 .230 .281 .277 .173 .060 .061 .083 .196 .369 .521 .553 .415 .199 .056 .075 .142 .353 .650 .839 .742 .450 .184 .050 .122 .246 .540 .884 1.000 .757 .414 .176 .066 .211 .382 .691 .967 .949 .656 .377 .206 .117 .352 .541 .783 .906 .780 .539 .374 .271 .185 .538 .700 .815 .772 .594 .441 .380 .323 .216 .694 .773 .744 .592 .420 .345 .346 .298 .163 1646 .844 4646 7.719 9.45705 .014034 .033916 .005819 Correlation Surface at 1746 4646 .000 .060 .273 .212 .001 .032 .115 .211 .494 .045 .108 .178 .014 .104 .464 .132 .118 .604 .213 .109 .008 .081 .576 .884 .047 .186 .490 .170 .033 .008 .140 .957 .614 .078 .325 .444 .029 .016 .000 .249 1.000 .511 .188 .355 .895 .009 .105 .002 .468 .798 .447 .074 .214 .692 .073 .230 .021 .531 .635 .370 .010 .095 .078 .109 .151 .118 .439 .676 .475 .027 .035 .024 .012 .001 .140 .397 .588 .254 .000 .058 .129 r_peak,r_snr = 7.55072E-02 7.4232 Correlation Surface of oversamples image at 1746 4646 .266 .105 .000 .052 .077 .105 .206 .244 .185 .144 .019 .036 .166 .241 .334 .366 .219 .106 .022 .013 .173 .390 .560 .633 .428 .151 .066 .007 .107 .348 .643 .879 .764 .340 .088 .064 .053 .193 .454 .812 1.000 .659 .212 .062 .093 .068 .200 .470 .844 .894 .459 .138 .074 .141 .045 .166 .453 .779 .696 .318 .130 .115 .174 .019 .145 .442 .682 .538 .268 .162 .147 .158 .011 .156 .451 .602 .466 .282 .196 .138 .104 1746 -3.594 4646 -3.406 7.42320 .072012 1.492210 .229427 Correlation Surface at 1846 4646 .160 .017 .138 .223 .108 .138 .089 .002 .000 .102 .102 .460 .275 .113 .038 .003 .006 .054 .067 .125 .273 .151 .005 .099 .024 .000 .026 .009 .022 .000 .012 .599 .449 .002 .002 .001 .109 .502 .092 .274 1.000 .352 .001 .005 .000 .364 .937 .084 .242 .779 .128 .054 .094 .001 .394 .702 .024 .139 .509 .000 .404 .069 .000 .128 .179 .002 .071 .154 .106 .205 .005 .002 .005 .023 .003 .143 .081 .005 .010 .000 .041 r_peak,r_snr = 8.04499E-02 9.26029 Correlation Surface of oversamples image at 1846 4646 .499 .421 .241 .082 .000 .064 .084 .025 .017 .274 .198 .078 .000 .117 .319 .239 .077 .035 .046 .022 .001 .125 .504 .683 .387 .107 .027 .009 .015 .106 .450 .906 .873 .406 .085 .007 .089 .087 .264 .682 1.000 .801 .324 .048 .000 .158 .133 .332 .685 .869 .658 .246 .026 .001 .177 .137 .310 .588 .745 .569 .193 .014 .003 .138 .095 .225 .481 .665 .479 .122 .000 .028 .062 .030 .118 .380 .566 .320 .030 .035 .126 1846 -.875 4646 -7.688 9.26029 .038592 .190964 .048860 Correlation Surface at 1946 4646 .110 .031 .142 .002 .161 .025 .027 .003 .040 .035 .166 .044 .003 .000 .001 .106 .252 .275 .008 .014 .001 .234 .717 .772 .063 .012 .060 .467 1.000 .775 .092 .006 .065 .259 .537 .191 .052 .000 .000 .011 .033 .039 .010 .060 .009 .053 .078 .292 .254 .079 .037 .055 .100 .178 r_peak,r_snr = 8.84768E-02 11.01183 Correlation Surface of oversamples image at 1946 4646 .095 .158 .229 .240 .205 .186 .150 .071 .015 .050 .102 .194 .286 .368 .416 .323 .149 .040 .025 .087 .227 .431 .637 .689 .494 .238 .072 .034 .125 .328 .641 .902 .876 .598 .290 .079 .059 .172 .415 .770 1.000 .898 .576 .245 .039 .061 .161 .388 .717 .907 .774 .431 .123 .000 .033 .088 .247 .508 .668 .535 .221 .016 .038 .008 .020 .092 .252 .358 .243 .043 .016 .138 .001 .000 .010 .063 .097 .030 .008 .113 .190 1946 13.094 4646 1.969 11.01184 .098129 .104721 .048512 Correlation Surface at 2046 4646 .121 .052 .099 .025 .196 .358 .046 .180 .332 .007 .211 .376 .083 .518 .656 .127 .010 .253 .149 .876 .862 .327 .014 .161 .208 1.000 .751 .197 .019 .038 .234 .565 .396 .111 .000 .017 .094 .131 .200 .064 .027 .079 .000 .033 .165 .029 .036 .013 .018 .047 .076 .061 .011 .011 r_peak,r_snr = 8.40990E-02 8.10387 Correlation Surface of oversamples image at 2046 4646 .001 .023 .075 .158 .281 .367 .242 .071 .022 .000 .028 .133 .305 .517 .576 .370 .209 .196 .000 .053 .226 .491 .752 .743 .533 .447 .464 .001 .089 .325 .662 .920 .878 .720 .681 .619 .006 .130 .408 .775 1.000 .959 .853 .788 .591 .023 .167 .448 .787 .939 .903 .845 .745 .487 .068 .205 .449 .701 .761 .743 .737 .649 .412 .123 .207 .371 .509 .511 .521 .567 .530 .338 .114 .133 .213 .275 .271 .314 .408 .399 .223 2046 -13.875 4646 7.531 8.10387 .046466 .184210 .037489 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .011 .001 .009 .101 .383 .517 .275 .127 .076 .000 .001 .040 .161 .486 .372 .050 .060 .076 .017 .013 .023 .180 .536 .228 .011 .038 .072 .031 .005 .003 .224 .776 .418 .061 .022 .035 .047 .018 .038 .323 1.000 .511 .099 .049 .029 .065 .098 .104 .249 .661 .262 .107 .092 .012 .021 .117 .068 .140 .234 .085 .060 .015 .004 .001 .055 .067 .139 .145 .068 .018 .000 .016 .008 .060 .163 .296 .414 .175 .016 .004 .000 r_peak,r_snr = .1493725 10.17243 Correlation Surface of oversamples image at 146 5046 .042 .142 .336 .468 .383 .201 .097 .077 .101 .015 .117 .345 .526 .475 .290 .160 .108 .092 .007 .112 .392 .676 .693 .482 .281 .163 .104 .011 .133 .472 .864 .928 .654 .368 .205 .141 .028 .157 .522 .953 1.000 .661 .353 .215 .196 .044 .148 .470 .828 .802 .481 .255 .199 .247 .037 .100 .319 .523 .448 .246 .151 .171 .262 .021 .053 .159 .222 .163 .094 .091 .149 .235 .013 .028 .063 .064 .040 .037 .071 .135 .190 146 .313 5046 6.938 10.17243 .011846 .052264 .003916 Correlation Surface at 246 5046 .006 .043 .025 .000 .222 .100 .005 .076 .021 .025 .085 .103 .036 .079 .002 .096 .402 .117 .053 .325 .301 .099 .044 .002 .068 .119 .026 .073 .568 .198 .001 .409 .184 .066 .065 .000 .003 .097 .000 .143 1.000 .518 .154 .022 .014 .011 .001 .030 .266 .991 .267 .003 .072 .009 .000 .016 .020 .184 .483 .032 .107 .265 .030 .008 .004 .006 .035 .054 .000 .132 .503 .224 .016 .001 .004 .000 .001 .005 .087 .271 .083 r_peak,r_snr = 8.09387E-02 10.67402 Correlation Surface of oversamples image at 246 5046 .417 .281 .116 .022 .004 .006 .006 .003 .013 .293 .171 .034 .013 .087 .100 .100 .117 .102 .116 .036 .012 .243 .505 .523 .503 .540 .499 .012 .004 .164 .622 .939 .874 .789 .762 .621 .006 .074 .357 .827 1.000 .797 .608 .467 .291 .037 .165 .478 .801 .760 .462 .240 .101 .028 .065 .244 .518 .659 .474 .184 .033 .000 .015 .100 .301 .496 .511 .288 .060 .000 .032 .062 .147 .321 .425 .383 .188 .024 .004 .039 .075 246 .500 5046 -.188 10.67402 .029529 .146298 .025156 Correlation Surface at 346 5046 .085 .119 .046 .018 .008 .092 .069 .013 .006 .116 .149 .001 .020 .030 .325 .054 .039 .024 .141 .662 .000 .030 .015 .338 1.000 .006 .015 .018 .247 .637 .003 .002 .001 .104 .387 .047 .126 .013 .002 .318 .216 .123 .077 .055 .077 r_peak,r_snr = 9.16516E-02 13.67404 Correlation Surface of oversamples image at 346 5046 .187 .284 .333 .370 .372 .254 .077 .003 .001 .086 .119 .184 .328 .448 .347 .126 .020 .007 .046 .067 .177 .431 .630 .502 .224 .073 .047 .027 .067 .267 .653 .873 .683 .339 .134 .078 .003 .054 .340 .808 1.000 .746 .349 .108 .033 .002 .038 .348 .827 1.000 .701 .275 .047 .000 346 14.938 5046 -8.094 13.67405 .025691 .091953 -.000878 Correlation Surface at 446 5046 .033 .121 .151 .162 .141 .039 .039 .003 .031 .206 .181 .150 .079 .185 .061 .015 .000 .021 .067 .037 .113 .089 .486 .213 .004 .003 .003 .030 .021 .083 .128 .696 .359 .010 .001 .003 .011 .085 .079 .232 1.000 .416 .000 .001 .006 .001 .003 .000 .127 .897 .357 .001 .000 .001 .016 .048 .131 .002 .537 .184 .010 .049 .048 .001 .062 .292 .000 .321 .160 .008 .122 .086 .043 .252 .363 .036 .248 .205 .001 .056 .036 r_peak,r_snr = 9.24437E-02 13.05298 Correlation Surface of oversamples image at 446 5046 .016 .007 .018 .122 .352 .452 .287 .077 .004 .038 .021 .054 .240 .546 .630 .383 .091 .002 .089 .060 .128 .401 .750 .785 .432 .092 .001 .148 .114 .226 .562 .913 .878 .442 .089 .001 .153 .140 .291 .661 1.000 .914 .445 .098 .006 .087 .103 .269 .645 .973 .879 .443 .119 .023 .017 .036 .175 .515 .835 .780 .408 .128 .036 .001 .001 .076 .347 .659 .657 .347 .113 .027 .024 .012 .017 .211 .504 .538 .288 .092 .011 446 .156 5046 3.125 13.05299 .020892 .268844 .000106 Correlation Surface at 546 5046 .027 .014 .067 .528 .922 .383 .013 .016 .000 .025 .000 .075 .505 .797 .339 .011 .036 .002 .028 .005 .016 .307 .670 .359 .013 .008 .007 .024 .008 .022 .323 .805 .402 .010 .003 .033 .011 .000 .072 .501 1.000 .295 .001 .000 .025 .001 .002 .076 .550 .883 .252 .010 .002 .028 .005 .009 .073 .391 .768 .426 .051 .002 .069 .008 .002 .016 .233 .858 .572 .046 .009 .051 .001 .011 .000 .231 .891 .337 .002 .000 .006 r_peak,r_snr = .1810451 10.99581 Correlation Surface of oversamples image at 546 5046 .039 .180 .487 .781 .840 .638 .339 .121 .021 .035 .186 .491 .788 .889 .731 .436 .178 .034 .027 .163 .437 .755 .937 .847 .548 .231 .045 .011 .107 .347 .703 .981 .951 .621 .245 .046 .000 .052 .265 .656 1.000 .976 .590 .201 .032 .002 .030 .235 .650 .997 .908 .479 .135 .016 546 .219 5046 -.188 10.99582 .009101 .119162 .014350 Correlation Surface at 646 5046 .010 .001 .025 .218 .503 .272 .034 .022 .003 .013 .002 .042 .311 .585 .304 .023 .009 .005 .015 .001 .042 .259 .604 .339 .036 .010 .001 .009 .000 .028 .310 .838 .471 .063 .002 .002 .010 .002 .053 .520 1.000 .532 .057 .000 .000 .022 .001 .091 .460 .836 .469 .043 .005 .002 .025 .000 .054 .306 .835 .453 .049 .006 .000 .030 .001 .020 .305 .886 .461 .049 .000 .005 .035 .000 .024 .305 .778 .439 .046 .000 .009 r_peak,r_snr = .2674154 14.25283 Correlation Surface of oversamples image at 646 5046 .014 .077 .217 .417 .563 .519 .326 .143 .045 .008 .062 .205 .440 .635 .614 .406 .189 .062 .008 .071 .247 .540 .779 .762 .510 .235 .073 .016 .110 .343 .687 .939 .889 .571 .246 .066 .034 .168 .442 .787 1.000 .894 .538 .209 .046 .054 .207 .472 .773 .933 .797 .449 .156 .029 .060 .203 .432 .686 .820 .688 .372 .120 .023 .053 .172 .366 .600 .738 .626 .335 .110 .025 .041 .139 .319 .560 .717 .618 .335 .114 .028 646 .125 5046 -.094 14.25284 .005661 .040376 .002795 Correlation Surface at 746 5046 .002 .081 .366 .066 .003 .000 .003 .218 .379 .083 .014 .000 .036 .399 .568 .137 .017 .011 .120 .829 .784 .098 .043 .016 .366 1.000 .440 .090 .144 .002 .455 .648 .190 .109 .078 .002 .376 .496 .113 .027 .002 .000 .373 .303 .011 .004 .000 .003 .141 .082 .012 .039 .000 .001 r_peak,r_snr = .1170582 14.28693 Correlation Surface of oversamples image at 746 5046 .000 .002 .027 .127 .257 .249 .147 .080 .061 .000 .009 .058 .219 .421 .405 .230 .093 .041 .000 .019 .115 .404 .692 .596 .271 .064 .015 .000 .042 .244 .685 .948 .665 .216 .024 .004 .000 .108 .464 .936 1.000 .550 .121 .007 .009 .005 .213 .646 .953 .796 .341 .053 .007 .039 .019 .284 .648 .750 .513 .173 .024 .016 .079 .032 .273 .526 .537 .321 .086 .013 .023 .075 .040 .239 .435 .432 .230 .045 .004 .009 .025 746 -13.688 5046 1.500 14.28694 .034508 .152248 .051261 Correlation Surface at 846 5046 .027 .147 .086 .104 .613 .388 .033 .019 .013 .007 .048 .005 .263 .869 .778 .248 .017 .095 .003 .009 .013 .214 1.000 .844 .099 .028 .238 .095 .000 .000 .223 .744 .347 .003 .040 .134 .093 .020 .022 .148 .309 .061 .021 .007 .009 .011 .016 .024 .030 .116 .015 .044 .004 .036 .001 .013 .000 .000 .026 .024 .001 .176 .357 r_peak,r_snr = 9.63581E-02 7.47202 Correlation Surface of oversamples image at 846 5046 .009 .004 .053 .168 .308 .239 .050 .000 .000 .001 .035 .161 .381 .564 .423 .151 .032 .011 .015 .110 .306 .606 .799 .618 .289 .088 .017 .056 .176 .415 .758 .952 .752 .363 .088 .004 .064 .183 .449 .812 1.000 .762 .314 .039 .001 .035 .150 .418 .771 .921 .632 .193 .005 .009 .014 .116 .351 .656 .745 .436 .084 .001 .012 .007 .086 .258 .489 .518 .244 .020 .016 .016 .006 .056 .163 .323 .314 .111 .000 .043 .023 846 -7.500 5046 -13.563 7.47202 .040379 .298625 .039387 Correlation Surface at 946 5046 .003 .008 .062 .023 .053 .015 .180 .014 .046 .001 .023 .000 .000 .034 .003 .010 .000 .104 .001 .021 .003 .030 .264 .263 .009 .032 .498 .032 .008 .018 .255 .990 .385 .001 .081 .402 .108 .084 .034 .384 1.000 .152 .000 .027 .102 .030 .031 .002 .206 .403 .236 .006 .003 .067 .000 .003 .017 .102 .625 .442 .010 .053 .052 .103 .001 .010 .256 .728 .214 .045 .027 .021 .265 .001 .006 .168 .208 .057 .001 .036 .043 r_peak,r_snr = 9.93744E-02 11.62191 Correlation Surface of oversamples image at 946 5046 .036 .016 .000 .029 .095 .081 .021 .002 .001 .037 .003 .014 .105 .235 .234 .111 .026 .000 .007 .007 .075 .260 .493 .487 .222 .034 .002 .005 .046 .169 .470 .805 .715 .263 .016 .014 .026 .078 .247 .654 1.000 .752 .218 .005 .018 .018 .063 .258 .685 .926 .605 .164 .007 .006 .000 .023 .195 .542 .694 .470 .171 .030 .000 .035 .000 .106 .372 .549 .469 .250 .082 .007 .113 .009 .052 .306 .573 .577 .345 .112 .002 946 .031 5046 -.375 11.62191 .014755 .085392 .002365 Correlation Surface at 1246 5046 .064 .157 .268 .516 .667 .688 .512 .359 .289 .071 .131 .214 .382 .567 .645 .489 .392 .335 .052 .094 .159 .346 .665 .727 .536 .434 .300 .028 .075 .191 .460 .876 .792 .516 .387 .225 .017 .086 .276 .593 1.000 .748 .440 .301 .210 .017 .112 .289 .593 .909 .681 .382 .254 .254 .028 .121 .256 .490 .748 .639 .357 .285 .273 .050 .150 .281 .453 .704 .641 .432 .396 .276 .063 .195 .328 .470 .759 .725 .593 .497 .329 r_peak,r_snr = .2739796 5.07374 Correlation Surface of oversamples image at 1246 5046 .364 .451 .526 .618 .738 .812 .775 .679 .587 .375 .491 .594 .708 .827 .867 .794 .677 .571 .424 .567 .688 .812 .914 .912 .799 .652 .537 .488 .641 .772 .900 .979 .935 .787 .623 .512 .535 .681 .815 .944 1.000 .929 .771 .614 .511 .541 .668 .797 .920 .959 .889 .756 .624 .525 .503 .605 .721 .827 .866 .826 .734 .629 .530 .448 .527 .624 .718 .771 .767 .707 .616 .518 .414 .481 .567 .662 .730 .744 .694 .601 .510 1246 .000 5046 -1.063 5.07374 .011497 .088376 .011823 Correlation Surface at 1346 5046 .001 .237 .117 .028 .090 .024 .009 .149 .457 .717 .075 .128 .078 .005 .042 .301 .780 .399 .047 .598 .032 .013 .125 .469 .398 .045 .441 1.000 .077 .041 .283 .622 .224 .004 .483 .726 .096 .109 .204 .253 .186 .000 .281 .104 .042 .033 .064 .022 .005 .083 .068 .004 .155 .076 .035 .021 .123 .036 .007 .035 .413 .133 .027 .041 r_peak,r_snr = 7.50441E-02 8.60816 Correlation Surface of oversamples image at 1346 5046 3.918 4.000 3.586 2.241 .876 .163 3.103 3.413 2.946 1.535 .320 .012 2.117 2.161 1.446 .430 .004 .466 1.212 .803 .231 .005 .468 1.142 .461 .046 .067 .486 1.133 1.242 1346 -15.781 5046 -15.844 8.60816 .023921 .154443 .016627 Correlation Surface at 1446 5046 .096 .114 .304 .501 .282 .143 .034 .028 .007 .036 .027 .157 .468 .255 .105 .026 .025 .008 .009 .031 .183 .437 .371 .264 .024 .000 .011 .007 .081 .185 .328 .785 .450 .005 .001 .005 .003 .077 .122 .392 1.000 .257 .000 .000 .007 .001 .044 .109 .526 .575 .109 .008 .000 .000 .006 .024 .117 .327 .259 .149 .060 .007 .012 .000 .050 .098 .136 .224 .193 .041 .022 .010 .054 .112 .080 .093 .221 .063 .001 .000 .002 r_peak,r_snr = .1378568 17.52704 Correlation Surface of oversamples image at 1446 5046 .319 .477 .505 .416 .337 .350 .346 .197 .056 .328 .394 .391 .398 .469 .578 .504 .210 .038 .306 .300 .311 .438 .670 .800 .556 .168 .024 .265 .240 .306 .564 .887 .886 .474 .114 .022 .232 .242 .394 .754 1.000 .778 .332 .082 .033 .236 .311 .555 .907 .928 .559 .217 .078 .057 .276 .421 .693 .899 .705 .354 .160 .103 .096 .331 .494 .690 .720 .464 .238 .165 .161 .144 .350 .452 .536 .484 .308 .214 .221 .230 .183 1446 .969 5046 4.094 17.52705 .011586 .051654 .009686 Correlation Surface at 1546 5046 .012 .009 .000 .112 .517 .132 .024 .008 .043 .020 .018 .031 .123 .371 .144 .000 .054 .217 .001 .031 .008 .017 .335 .243 .015 .144 .279 .009 .010 .023 .005 .660 .449 .001 .151 .297 .107 .019 .018 .056 1.000 .686 .021 .222 .248 .168 .001 .016 .072 .881 .735 .018 .279 .160 .153 .005 .023 .093 .819 .493 .001 .220 .111 .046 .010 .000 .312 .776 .305 .007 .156 .060 .071 .037 .049 .406 .437 .160 .055 .100 .048 r_peak,r_snr = .1137045 11.13827 Correlation Surface of oversamples image at 1546 5046 .000 .000 .034 .230 .356 .189 .021 .005 .026 .017 .006 .071 .440 .594 .313 .058 .000 .014 .055 .005 .162 .693 .810 .458 .130 .009 .003 .071 .000 .282 .862 .951 .595 .205 .026 .001 .053 .008 .339 .879 1.000 .664 .235 .029 .003 .031 .015 .308 .790 .951 .631 .205 .019 .012 .023 .011 .244 .679 .842 .527 .154 .009 .027 .026 .006 .214 .615 .718 .413 .121 .007 .032 .025 .011 .255 .615 .611 .337 .116 .010 .025 1546 .344 5046 -1.125 11.13827 .012537 .135167 .000347 Correlation Surface at 1646 5046 .003 .004 .028 .326 .624 .285 .009 .011 .008 .007 .013 .007 .207 .819 .169 .010 .002 .030 .076 .058 .000 .274 .700 .089 .004 .000 .026 .066 .023 .011 .315 .610 .147 .019 .016 .063 .067 .024 .004 .282 1.000 .177 .036 .030 .040 .122 .018 .010 .441 .998 .160 .008 .015 .000 .035 .013 .051 .449 .688 .245 .000 .018 .012 .000 .007 .014 .277 .675 .210 .004 .040 .010 .008 .037 .002 .205 .482 .098 .004 .002 .001 r_peak,r_snr = .1270918 12.36187 Correlation Surface of oversamples image at 1646 5046 .019 .065 .217 .435 .480 .318 .121 .026 .006 .018 .064 .222 .453 .569 .446 .194 .043 .004 .006 .043 .208 .531 .782 .642 .267 .049 .001 .000 .023 .213 .661 .984 .734 .266 .042 .000 .003 .021 .259 .771 1.000 .636 .215 .037 .000 .001 .040 .318 .752 .798 .459 .173 .048 .007 .002 .074 .336 .596 .543 .331 .167 .073 .025 .013 .099 .289 .415 .387 .292 .187 .095 .038 .018 .092 .216 .319 .359 .315 .199 .089 .025 1646 -.031 5046 -.688 12.36187 .008522 .135353 .003287 Correlation Surface at 1746 5046 .033 .086 .069 .269 .743 .103 .050 .057 .241 .170 .256 .151 .447 .643 .013 .093 .091 .241 .166 .122 .119 .481 .402 .082 .001 .003 .051 .006 .002 .103 .522 .584 .451 .086 .004 .010 .005 .000 .200 .651 1.000 .393 .013 .004 .005 .000 .019 .196 .662 .575 .125 .005 .005 .002 .002 .033 .144 .366 .299 .072 .002 .000 .000 .031 .024 .178 .448 .549 .075 .002 .001 .047 .139 .025 .233 .684 .341 .012 .018 .058 .154 r_peak,r_snr = 9.55047E-02 10.02439 Correlation Surface of oversamples image at 1746 5046 .080 .125 .356 .768 .989 .731 .247 .010 .026 .161 .214 .453 .824 1.000 .679 .180 .000 .049 .191 .222 .423 .746 .857 .503 .103 .001 .039 .132 .156 .333 .615 .644 .334 .076 .001 .008 .049 .086 .257 .483 .459 .256 .111 .032 .004 .009 .055 .219 .385 .373 .294 .218 .111 .034 1746 .969 5046 -2.781 10.02439 .047173 .063666 .019120 Correlation Surface at 1846 5046 .580 .137 .032 .004 .064 .109 .348 .180 .137 .933 .016 .040 .001 .004 .252 .090 .036 .034 .207 .051 .010 .007 .269 .677 .032 .030 .032 .000 .291 .141 .114 1.000 .470 .055 .128 .150 .014 .139 .017 .342 .588 .068 .247 .322 .176 .129 .002 .048 .231 .086 .043 .569 .123 .002 .137 .008 .010 .124 .069 .254 .430 .003 .046 .001 .029 .012 .175 .122 .378 .127 .007 .037 r_peak,r_snr = 6.94280E-02 8.87367 Correlation Surface of oversamples image at 1846 5046 .024 .133 .183 .093 .004 .045 .147 .126 .055 .037 .111 .097 .016 .025 .160 .191 .073 .006 .046 .047 .007 .038 .254 .400 .238 .038 .001 .049 .002 .044 .318 .689 .616 .229 .018 .005 .031 .020 .240 .726 1.000 .635 .184 .016 .000 .005 .103 .465 .920 .937 .480 .145 .039 .029 .006 .200 .529 .760 .614 .289 .137 .125 .180 .042 .221 .386 .434 .297 .162 .179 .305 .415 .069 .152 .197 .193 .131 .126 .279 .490 .516 1846 -.656 5046 -12.219 8.87367 .039834 .067296 .027851 Correlation Surface at 1946 5046 .005 .002 .039 .167 .313 .069 .027 .077 .070 .000 .004 .013 .106 .261 .237 .229 .332 .123 .004 .006 .005 .161 .432 .489 .369 .251 .030 .030 .025 .023 .205 .739 .622 .246 .063 .000 .091 .028 .008 .240 1.000 .477 .111 .008 .000 .076 .004 .001 .320 .888 .244 .061 .009 .012 .015 .002 .002 .350 .610 .127 .013 .035 .033 .003 .000 .008 .362 .440 .037 .000 .033 .025 .004 .007 .077 .247 .218 .009 .002 .048 .035 r_peak,r_snr = .1196312 15.60193 Correlation Surface of oversamples image at 1946 5046 .000 .032 .141 .286 .427 .524 .525 .477 .451 .007 .056 .180 .370 .562 .651 .615 .522 .430 .022 .071 .213 .477 .726 .796 .695 .527 .372 .024 .068 .252 .613 .899 .910 .701 .477 .293 .015 .067 .309 .741 1.000 .891 .598 .378 .217 .010 .076 .361 .790 .956 .731 .432 .277 .166 .011 .091 .373 .742 .805 .522 .286 .203 .132 .015 .099 .357 .665 .644 .370 .197 .145 .098 .021 .111 .372 .638 .556 .295 .143 .088 .059 1946 .063 5046 8.031 15.60193 .018920 .215097 .032195 Correlation Surface at 2046 5046 .437 .000 .013 .003 .168 .205 .003 .001 .019 .027 .088 .001 .029 .560 .339 .004 .079 .002 .017 .074 .045 .206 .560 .188 .023 .013 .182 .163 .020 .131 .092 .837 .231 .001 .022 .210 .494 .026 .001 .103 1.000 .134 .002 .086 .134 .432 .239 .251 .079 .226 .000 .000 .076 .066 .129 .604 .416 .062 .000 .086 .043 .001 .009 .028 .260 .200 .114 .067 .058 .110 .000 .013 .043 .002 .009 .105 .557 .011 .028 .001 .001 r_peak,r_snr = 5.69425E-02 7.05345 Correlation Surface of oversamples image at 2046 5046 .054 .008 .043 .152 .470 .639 .354 .077 .004 .038 .001 .035 .267 .791 .946 .453 .057 .002 .018 .006 .092 .448 1.000 .960 .304 .003 .049 .000 .055 .216 .575 .979 .728 .121 .014 .104 .018 .146 .298 .572 .816 .464 .032 .032 .084 .047 .161 .261 .515 .694 .317 .015 .013 .023 .030 .076 .188 .540 .705 .280 .021 .000 .000 2046 -4.781 5046 6.094 7.05345 .027072 .107272 .013080 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .642 .145 .008 .058 .347 .091 .004 .079 .163 .316 .128 .003 .133 .300 .024 .005 .211 .263 .096 .036 .002 .102 .288 .169 .137 .394 .255 .096 .007 .041 .016 .502 .610 .206 .387 .260 .078 .006 .000 .213 1.000 .547 .085 .252 .155 .003 .000 .146 .637 .784 .191 .013 .031 .050 .039 .000 .191 .430 .346 .023 .028 .003 .088 .006 .004 .031 .186 .239 .001 .126 .000 .043 .002 .017 .003 .148 .169 .031 .054 .006 .001 r_peak,r_snr = 9.50837E-02 10.05987 Correlation Surface of oversamples image at 146 5446 .047 .127 .059 .001 .124 .371 .459 .285 .095 .048 .110 .022 .042 .347 .719 .708 .328 .058 .040 .049 .003 .220 .698 .984 .710 .221 .015 .020 .001 .111 .542 .983 .982 .529 .106 .001 .003 .037 .325 .798 1.000 .759 .322 .042 .001 .000 .099 .432 .771 .761 .476 .168 .012 .005 .001 .096 .347 .546 .483 .279 .086 .001 .019 .000 .046 .202 .346 .333 .201 .053 .001 .047 .011 .004 .094 .244 .293 .176 .028 .016 .100 146 -.250 5446 2.500 10.05987 .044885 .129513 .054741 Correlation Surface at 246 5446 .002 .000 .001 .080 .090 .029 .094 .001 .042 .005 .006 .004 .001 .001 .002 .001 .255 .063 .022 .107 .075 .017 .055 .131 .125 .330 .025 .026 .214 .230 .034 .365 .255 .051 .035 .007 .001 .061 .138 .047 1.000 .116 .001 .009 .098 .110 .035 .021 .183 .605 .015 .032 .011 .010 .260 .032 .113 .000 .097 .013 .075 .003 .073 .080 .020 .236 .016 .208 .095 .001 .037 .144 .000 .015 .024 .073 .651 .391 .167 .091 .004 r_peak,r_snr = 7.52092E-02 9.53708 Correlation Surface of oversamples image at 246 5446 .036 .021 .008 .000 .013 .085 .188 .239 .283 .108 .076 .042 .001 .064 .255 .337 .268 .233 .203 .142 .058 .007 .250 .534 .419 .194 .126 .228 .143 .017 .122 .641 .775 .345 .070 .033 .159 .078 .008 .423 1.000 .736 .158 .001 .000 .076 .023 .075 .622 .908 .412 .020 .035 .035 .057 .020 .061 .396 .429 .110 .009 .129 .111 .132 .095 .000 .071 .083 .007 .052 .192 .164 .345 .310 .096 .003 .004 .000 .051 .155 .131 246 .063 5446 -5.875 9.53708 .016359 .067794 .015494 Correlation Surface at 346 5446 .106 .051 .000 .064 .351 .192 .288 .502 .243 .182 .056 .000 .066 .174 .129 .612 .745 .276 .256 .067 .000 .036 .183 .295 .603 .260 .028 .116 .038 .016 .205 .583 .387 .172 .055 .015 .006 .063 .270 .774 1.000 .261 .082 .161 .063 .017 .104 .327 .622 .617 .092 .236 .370 .071 .006 .029 .069 .209 .125 .026 .574 .477 .168 .029 .015 .077 .213 .011 .057 .645 .491 .205 .002 .121 .477 .581 .147 .249 .489 .329 .024 r_peak,r_snr = 9.13955E-02 7.30943 Correlation Surface of oversamples image at 346 5446 .001 .010 .047 .105 .188 .269 .311 .306 .296 .000 .030 .114 .229 .361 .457 .448 .314 .192 .022 .146 .336 .513 .659 .703 .551 .276 .104 .132 .392 .659 .836 .929 .866 .564 .213 .052 .295 .599 .839 .963 1.000 .861 .489 .151 .037 .370 .591 .750 .844 .866 .690 .337 .100 .058 .293 .396 .497 .590 .590 .399 .153 .062 .126 .172 .210 .288 .361 .306 .137 .034 .042 .232 .120 .149 .224 .246 .128 .019 .001 .044 .342 346 -.563 5446 -4.594 7.30943 .053918 .089994 .037187 Correlation Surface at 446 5446 .016 .024 .137 .302 .362 .196 .059 .035 .034 .000 .053 .074 .171 .364 .152 .057 .050 .030 .000 .001 .015 .173 .463 .142 .083 .042 .019 .060 .045 .008 .287 .756 .274 .145 .067 .015 .061 .044 .011 .299 1.000 .436 .267 .105 .027 .028 .015 .000 .211 .822 .467 .307 .084 .052 .014 .020 .004 .225 .613 .279 .129 .111 .085 .008 .017 .001 .283 .434 .098 .065 .146 .050 .010 .000 .014 .129 .252 .104 .146 .075 .010 r_peak,r_snr = .1518192 16.18746 Correlation Surface of oversamples image at 446 5446 .096 .186 .347 .539 .570 .380 .197 .132 .126 .095 .226 .450 .693 .700 .463 .262 .181 .148 .091 .241 .508 .808 .843 .592 .350 .220 .162 .074 .211 .483 .839 .953 .719 .426 .246 .177 .048 .152 .402 .801 1.000 .799 .477 .267 .195 .022 .095 .324 .743 .985 .808 .488 .274 .198 .004 .056 .278 .697 .922 .741 .440 .245 .175 .000 .038 .273 .679 .831 .609 .334 .184 .134 .003 .040 .305 .678 .713 .443 .216 .120 .098 446 .000 5446 .125 16.18746 .010254 .091813 -.008488 Correlation Surface at 546 5446 .024 .058 .196 .393 .463 .314 .109 .077 .153 .049 .076 .189 .361 .551 .391 .135 .090 .126 .093 .083 .166 .386 .723 .490 .162 .126 .140 .098 .074 .162 .498 .951 .562 .192 .152 .141 .071 .053 .164 .580 1.000 .528 .201 .151 .133 .067 .046 .178 .571 .919 .519 .209 .158 .125 .098 .069 .197 .560 .917 .537 .203 .162 .110 .149 .089 .177 .543 .893 .514 .214 .158 .116 .152 .065 .132 .541 .881 .539 .231 .167 .158 r_peak,r_snr = .3303259 5.86806 Correlation Surface of oversamples image at 546 5446 .114 .192 .284 .403 .512 .504 .372 .219 .120 .108 .185 .305 .482 .628 .598 .417 .231 .123 .103 .194 .362 .607 .778 .708 .468 .247 .132 .102 .218 .444 .748 .922 .801 .511 .265 .148 .106 .248 .520 .851 1.000 .837 .525 .281 .167 .109 .268 .553 .867 .979 .803 .510 .291 .185 .106 .266 .533 .807 .894 .739 .488 .294 .192 .101 .252 .490 .731 .817 .696 .475 .286 .184 .100 .239 .457 .687 .787 .687 .465 .269 .169 546 -.031 5446 -.281 5.86806 .004100 .133429 .005757 Correlation Surface at 646 5446 .140 .103 .129 .310 .572 .431 .215 .165 .145 .154 .149 .149 .331 .607 .388 .202 .177 .140 .182 .160 .160 .354 .677 .453 .277 .214 .136 .188 .108 .161 .381 .847 .658 .338 .240 .152 .165 .106 .156 .387 1.000 .666 .274 .254 .155 .149 .140 .146 .396 .957 .538 .282 .253 .117 .144 .167 .168 .431 .826 .505 .319 .184 .085 .153 .175 .188 .486 .734 .506 .237 .107 .083 .149 .131 .214 .496 .643 .457 .166 .086 .117 r_peak,r_snr = .2763727 6.49972 Correlation Surface of oversamples image at 646 5446 .103 .157 .305 .604 .905 .919 .666 .403 .260 .092 .142 .302 .640 .969 .956 .656 .382 .258 .091 .138 .310 .669 .992 .941 .622 .371 .273 .104 .153 .341 .707 .999 .909 .596 .377 .287 .128 .187 .395 .758 1.000 .874 .580 .381 .280 .157 .234 .464 .807 .986 .836 .563 .366 .248 .182 .282 .524 .827 .948 .788 .530 .331 .207 .194 .311 .542 .790 .862 .710 .475 .287 .171 .207 .332 .532 .718 .760 .633 .433 .263 .154 646 .125 5446 .969 6.49972 .005129 .095378 .004423 Correlation Surface at 746 5446 .117 .093 .001 .000 .048 .151 .133 .024 .000 .130 .033 .017 .001 .193 .278 .089 .000 .014 .081 .005 .022 .008 .342 .385 .014 .045 .103 .022 .016 .001 .063 .763 .437 .005 .032 .089 .004 .036 .004 .147 1.000 .315 .033 .001 .023 .005 .001 .001 .338 .669 .346 .187 .007 .000 .001 .002 .027 .493 .443 .559 .313 .026 .002 .009 .003 .027 .301 .404 .593 .277 .027 .029 .006 .013 .002 .221 .580 .425 .166 .000 .043 r_peak,r_snr = .1061268 11.91225 Correlation Surface of oversamples image at 746 5446 .043 .024 .003 .119 .343 .505 .442 .214 .039 .022 .008 .018 .199 .531 .714 .490 .159 .014 .005 .000 .055 .338 .788 .881 .469 .117 .011 .001 .004 .114 .523 .987 .876 .390 .106 .031 .003 .010 .195 .688 1.000 .704 .302 .132 .087 .011 .021 .302 .781 .848 .494 .257 .201 .171 .014 .055 .441 .798 .651 .359 .281 .311 .245 .004 .136 .581 .749 .501 .323 .371 .437 .290 .001 .231 .626 .627 .405 .356 .496 .533 .310 746 .125 5446 -.375 11.91225 .013184 .111194 .013238 Correlation Surface at 846 5446 .006 .208 .217 .012 .805 .242 .001 .028 .001 .114 .215 .223 .011 .860 .142 .000 .034 .078 .086 .163 .584 .023 .434 .081 .000 .018 .014 .003 .130 .446 .002 .529 .180 .011 .062 .064 .005 .117 .004 .290 1.000 .263 .024 .024 .036 .004 .026 .021 .272 .737 .136 .028 .000 .003 .030 .002 .007 .020 .280 .024 .095 .002 .049 .158 .019 .008 .013 .236 .009 .151 .001 .055 .070 .005 .001 .058 .207 .034 .032 .002 .024 r_peak,r_snr = 8.41489E-02 8.58586 Correlation Surface of oversamples image at 846 5446 .350 .138 .000 .107 .203 .127 .031 .001 .003 .268 .055 .018 .185 .296 .210 .060 .001 .012 .088 .001 .139 .408 .545 .387 .118 .003 .019 .000 .104 .393 .747 .858 .567 .170 .006 .016 .053 .265 .624 .982 1.000 .603 .170 .007 .013 .091 .288 .613 .887 .841 .472 .121 .001 .023 .050 .172 .388 .569 .552 .307 .059 .005 .067 .010 .059 .169 .300 .338 .182 .012 .048 .146 .000 .011 .059 .162 .217 .091 .002 .125 .200 846 -.219 5446 3.531 8.58586 .025316 .107793 .020560 Correlation Surface at 946 5446 .149 .193 .248 .492 .303 .119 .104 .247 .577 .585 .120 .034 .113 .487 .811 .395 .010 .001 .269 .870 .777 .124 .004 .022 .275 1.000 .549 .114 .028 .178 .342 .823 .615 .559 .392 .166 .434 .774 .948 .951 .227 .000 .279 .827 .831 .351 .001 .082 .218 .674 .283 .032 .020 .051 r_peak,r_snr = 9.48505E-02 7.83215 Correlation Surface of oversamples image at 946 5446 .074 .083 .122 .254 .480 .658 .598 .314 .082 .033 .052 .132 .350 .660 .811 .622 .246 .031 .021 .061 .193 .489 .822 .861 .541 .156 .006 .033 .108 .296 .654 .941 .809 .404 .083 .000 .068 .174 .416 .816 1.000 .704 .282 .047 .000 .100 .217 .511 .927 .993 .593 .211 .046 .002 .090 .211 .542 .937 .913 .494 .192 .078 .032 .061 .189 .526 .873 .804 .438 .218 .147 .114 .046 .183 .502 .810 .740 .438 .263 .215 .195 946 -13.656 5446 2.406 7.83215 .029022 .477165 .031947 Correlation Surface at 1046 5446 .002 .010 .006 .007 .052 .068 .004 .003 .005 .047 .018 .009 .007 .045 .064 .109 .055 .122 .067 .031 .011 .092 .262 .439 .401 .267 .281 .038 .016 .089 .337 .823 .950 .380 .192 .052 .003 .003 .066 .353 1.000 .735 .174 .020 .068 .009 .002 .000 .239 .732 .514 .100 .024 .201 .001 .042 .003 .250 .783 .699 .100 .057 .093 .003 .005 .009 .237 .883 .959 .098 .035 .008 .000 .000 .000 .147 .656 .880 .032 .041 .000 r_peak,r_snr = .1025399 9.59287 Correlation Surface of oversamples image at 1046 5446 .197 .359 .484 .476 .435 .452 .368 .107 .012 .137 .269 .367 .417 .476 .520 .335 .031 .105 .085 .215 .354 .490 .622 .610 .267 .000 .258 .059 .227 .464 .691 .838 .682 .188 .026 .358 .051 .284 .627 .910 1.000 .686 .121 .063 .365 .051 .317 .677 .956 .998 .595 .060 .098 .344 .066 .308 .621 .908 .943 .472 .019 .116 .282 1046 .844 5446 -.219 9.59287 .040761 .189570 .019846 Correlation Surface at 1146 5446 .326 .354 .300 .006 .558 .291 .081 .009 .001 .147 .196 .000 .524 1.000 .426 .030 .031 .016 .029 .147 .001 .208 .601 .245 .006 .000 .256 .075 .136 .027 .042 .409 .082 .022 .005 .306 .164 .079 .001 .095 .202 .004 .006 .001 .166 .265 .045 .013 .101 .101 .018 .001 .013 .122 r_peak,r_snr = 6.96019E-02 8.54543 Correlation Surface of oversamples image at 1146 5446 .509 .465 .428 .312 .148 .071 .063 .049 .017 .460 .382 .251 .074 .000 .006 .004 .007 .019 .330 .175 .029 .029 .201 .255 .196 .174 .149 .176 .019 .049 .370 .707 .682 .523 .420 .269 .080 .007 .246 .730 1.000 .874 .698 .530 .265 .060 .022 .327 .735 .864 .777 .681 .460 .156 .091 .011 .245 .497 .590 .619 .566 .287 .040 .110 .004 .156 .317 .438 .522 .411 .113 .000 .058 .016 .154 .296 .426 .442 .227 .017 .021 1146 -11.469 5446 -13.938 8.54543 .074560 .120520 .033597 Correlation Surface at 1246 5446 .014 .016 .025 .223 .408 .164 .236 .056 .002 .005 .005 .011 .212 .339 .274 .146 .001 .017 .006 .000 .002 .152 .486 .485 .067 .000 .008 .006 .000 .000 .199 .893 .679 .096 .009 .000 .001 .007 .000 .224 1.000 .611 .096 .000 .000 .001 .019 .002 .143 .702 .366 .022 .028 .000 .003 .019 .003 .097 .447 .195 .001 .059 .012 .011 .002 .001 .105 .354 .184 .006 .056 .063 .001 .002 .004 .124 .328 .258 .033 .031 .091 r_peak,r_snr = .1597447 12.52842 Correlation Surface of oversamples image at 1246 5446 .008 .051 .129 .218 .282 .301 .259 .147 .041 .001 .035 .151 .332 .465 .439 .276 .105 .020 .000 .038 .228 .527 .701 .574 .290 .092 .020 .000 .065 .356 .754 .909 .655 .294 .094 .028 .000 .104 .480 .923 1.000 .644 .274 .093 .030 .000 .126 .538 .956 .926 .536 .215 .068 .013 .001 .110 .504 .845 .735 .380 .132 .025 .000 .007 .077 .421 .680 .547 .255 .066 .001 .031 .020 .051 .340 .543 .422 .182 .031 .005 .086 1246 .281 5446 -9.813 12.52843 .009865 .085159 .005425 Correlation Surface at 1346 5446 .011 .225 .406 .098 .008 .018 .059 .000 .007 .004 .163 .274 .074 .013 .028 .013 .092 .036 .000 .051 .103 .061 .130 .215 .025 .044 .024 .009 .000 .011 .116 .654 .720 .126 .002 .037 .017 .010 .001 .186 1.000 .792 .060 .051 .164 .002 .006 .011 .056 .572 .386 .013 .073 .175 .000 .037 .078 .015 .415 .375 .168 .026 .000 .002 .038 .001 .196 .688 .700 .499 .331 .105 .001 .002 .153 .408 .604 .661 .557 .358 .084 r_peak,r_snr = .1184941 11.78389 Correlation Surface of oversamples image at 1346 5446 .055 .013 .008 .008 .016 .044 .054 .010 .016 .010 .011 .034 .069 .129 .198 .153 .029 .006 .004 .034 .123 .247 .409 .492 .317 .083 .001 .008 .086 .269 .511 .776 .794 .457 .135 .011 .014 .128 .372 .706 1.000 .885 .446 .119 .004 .012 .116 .362 .710 .922 .711 .305 .057 .003 .002 .067 .273 .548 .650 .453 .171 .017 .033 .004 .025 .177 .362 .409 .288 .115 .008 .046 .018 .013 .143 .285 .326 .263 .137 .025 .011 1346 -.375 5446 -.406 11.78390 .020232 .044363 .003087 Correlation Surface at 1446 5446 .069 .092 .002 .018 .065 .071 .018 .045 .247 .007 .000 .094 .161 .147 .008 .114 .005 .271 .004 .007 .070 .017 .005 .088 .233 .027 .057 .007 .000 .002 .182 .320 .559 .239 .150 .031 .000 .068 .150 .581 1.000 .448 .284 .265 .089 .044 .176 .432 .673 .549 .277 .623 .229 .043 .065 .186 .405 .190 .202 .662 .860 .093 .012 .024 .057 .077 .071 .488 .710 .583 .050 .005 .001 .024 .037 .217 .532 .181 .177 .032 .011 r_peak,r_snr = 7.17514E-02 6.29139 Correlation Surface of oversamples image at 1446 5446 .055 .041 .010 .018 .182 .379 .462 .522 .590 .025 .001 .023 .164 .424 .605 .701 .824 .867 .000 .035 .150 .381 .677 .842 .921 .985 .853 .041 .127 .291 .573 .897 .991 .915 .775 .535 .096 .199 .403 .732 1.000 .890 .607 .389 .248 .104 .240 .497 .801 .858 .546 .256 .148 .151 .078 .252 .507 .666 .504 .199 .070 .081 .195 .058 .224 .388 .395 .193 .038 .022 .114 .336 .063 .176 .242 .207 .077 .014 .044 .251 .511 1446 7.219 5446 9.313 6.29139 .086745 .061193 .031428 Correlation Surface at 1546 5446 .249 .305 .470 .655 .477 .255 .060 .016 .053 .409 .402 .524 .612 .465 .208 .046 .085 .102 .474 .561 .602 .435 .378 .370 .137 .064 .023 .499 .524 .433 .239 .649 .729 .105 .000 .039 .497 .338 .167 .270 1.000 .655 .033 .108 .188 .377 .153 .117 .420 .750 .443 .020 .203 .176 .098 .024 .183 .416 .401 .456 .011 .078 .062 .001 .007 .235 .253 .284 .242 .000 .002 .011 .036 .010 .149 .103 .203 .049 .000 .000 .004 r_peak,r_snr = .1182897 7.22495 Correlation Surface of oversamples image at 1546 5446 .471 .307 .227 .233 .271 .239 .163 .112 .112 .357 .214 .210 .325 .463 .431 .282 .155 .090 .242 .174 .278 .540 .745 .625 .360 .155 .053 .185 .209 .442 .822 .975 .711 .361 .125 .021 .191 .298 .612 .973 1.000 .668 .317 .091 .003 .244 .398 .672 .899 .850 .565 .276 .068 .002 .315 .449 .592 .686 .640 .465 .248 .045 .022 .370 .432 .448 .474 .475 .398 .220 .021 .056 .391 .378 .330 .345 .382 .343 .170 .005 .072 1546 .313 5446 -7.094 7.22495 .022866 .079953 .014422 Correlation Surface at 1646 5446 .009 .011 .016 .091 .368 .052 .001 .000 .098 .018 .018 .062 .118 .446 .048 .007 .004 .088 .006 .036 .031 .251 .674 .171 .006 .020 .031 .031 .009 .036 .462 .922 .579 .218 .131 .041 .104 .138 .111 .425 1.000 .866 .335 .102 .047 .044 .001 .001 .150 .711 .466 .072 .020 .002 .004 .194 .047 .065 .374 .109 .004 .002 .009 .060 .193 .020 .075 .125 .025 .004 .000 .009 .059 .081 .001 .057 .066 .058 .000 .004 .000 r_peak,r_snr = .1274938 14.45781 Correlation Surface of oversamples image at 1646 5446 .009 .195 .553 .748 .591 .291 .082 .010 .005 .044 .278 .658 .863 .727 .423 .176 .071 .064 .110 .362 .728 .945 .873 .605 .343 .211 .169 .162 .399 .728 .968 .988 .772 .512 .341 .217 .148 .354 .649 .921 1.000 .813 .555 .336 .166 .080 .251 .529 .817 .895 .702 .440 .211 .082 .023 .157 .423 .698 .724 .501 .250 .082 .029 .004 .109 .361 .586 .526 .286 .097 .018 .007 .002 .101 .329 .458 .319 .121 .025 .002 .000 1646 .344 5446 3.750 14.45781 .046059 .179206 -.032254 Correlation Surface at 1746 5446 .124 .054 .005 .010 .049 .064 .127 .779 .415 .172 .065 .001 .013 .065 .020 .136 .683 .404 .221 .023 .023 .005 .016 .043 .053 .519 .485 .326 .000 .037 .008 .260 .417 .000 .250 .302 .085 .023 .003 .246 1.000 .408 .004 .210 .012 .015 .001 .125 .313 .451 .116 .030 .158 .014 .021 .057 .065 .029 .104 .167 .000 .038 .002 .000 .007 .007 .003 .028 .011 .002 .020 .023 .020 .018 .002 .059 .113 .185 .022 .002 .001 r_peak,r_snr = 8.55679E-02 8.00344 Correlation Surface of oversamples image at 1746 5446 .011 .014 .015 .106 .101 .071 .084 .056 .000 .014 .000 .083 .228 .246 .281 .341 .202 .016 .001 .035 .249 .476 .582 .695 .646 .281 .023 .014 .150 .462 .761 .949 .998 .681 .199 .005 .062 .254 .543 .819 1.000 .908 .465 .087 .001 .101 .234 .396 .581 .718 .596 .266 .045 .003 .084 .124 .186 .295 .406 .363 .202 .057 .000 .033 .040 .066 .135 .231 .272 .219 .088 .007 .004 .011 .030 .077 .151 .226 .199 .067 .004 1746 4.719 5446 6.250 8.00344 .028322 .031099 .011645 Correlation Surface at 1846 5446 .026 .001 .005 .086 .323 .375 .067 .079 .035 .012 .004 .069 .320 1.000 .542 .015 .031 .102 .005 .008 .068 .449 .711 .120 .002 .037 .308 .004 .032 .158 .332 .185 .002 .017 .350 .078 .013 .206 .171 .274 .045 .028 .217 .122 .062 .228 .231 .041 .059 .009 .060 .051 .006 .008 r_peak,r_snr = 7.77490E-02 9.20361 Correlation Surface of oversamples image at 1846 5446 .000 .007 .040 .059 .058 .050 .045 .029 .004 .005 .053 .134 .210 .272 .289 .239 .113 .019 .031 .102 .237 .452 .648 .670 .461 .182 .033 .058 .123 .329 .702 .969 .864 .475 .157 .024 .077 .149 .421 .836 1.000 .701 .296 .074 .005 .114 .213 .488 .785 .740 .384 .112 .011 .000 .193 .301 .497 .607 .432 .161 .021 .000 .000 .292 .361 .452 .432 .238 .062 .002 .000 .015 .309 .327 .366 .291 .123 .026 .003 .013 .132 1846 -11.000 5446 -13.719 9.20361 .051993 .070075 .026443 Correlation Surface at 1946 5446 .046 .294 .027 .013 .182 .033 .239 .045 .123 .096 .078 .000 .209 .229 .053 .008 .023 .174 .124 .054 .094 .644 .294 .015 .001 .073 .033 .167 .114 .342 .699 .566 .161 .016 .089 .034 .062 .131 .514 .937 1.000 .243 .020 .000 .022 .001 .065 .575 .866 .630 .035 .156 .103 .019 .033 .001 .290 .495 .211 .076 .381 .000 .003 .048 .002 .161 .562 .105 .063 .005 .070 .015 .056 .017 .427 .854 .166 .011 .033 .000 .010 r_peak,r_snr = 7.34253E-02 7.38113 Correlation Surface of oversamples image at 1946 5446 .092 .190 .366 .460 .367 .211 .146 .163 .234 .184 .273 .387 .457 .437 .367 .307 .281 .353 .289 .316 .394 .519 .625 .621 .503 .420 .490 .343 .328 .435 .669 .883 .856 .639 .515 .537 .334 .336 .505 .803 1.000 .865 .588 .447 .359 .282 .340 .540 .792 .865 .642 .380 .218 .074 .210 .315 .496 .645 .605 .375 .159 .022 .024 .137 .248 .391 .472 .391 .193 .029 .031 .224 .078 .170 .303 .366 .274 .099 .000 .123 .260 1946 1.063 5446 -4.063 7.38113 .083936 .114995 .028043 Correlation Surface at 2046 5446 .074 .379 .123 .106 .000 .092 .131 .056 .027 .000 .040 .009 .017 .023 .042 .081 .044 .005 .201 .536 .151 .006 .000 .550 1.000 .053 .063 .002 .544 .454 .003 .104 .004 .113 .099 .001 .081 .012 .000 .030 .016 .185 .048 .003 .011 r_peak,r_snr = 8.52111E-02 15.44958 Correlation Surface of oversamples image at 2046 5446 .052 .071 .065 .043 .058 .142 .227 .143 .016 .027 .066 .118 .159 .268 .437 .463 .208 .016 .016 .098 .254 .427 .652 .783 .594 .204 .016 .020 .178 .473 .776 .976 .883 .512 .160 .026 .037 .297 .700 .998 1.000 .701 .359 .142 .063 .053 .391 .799 .941 .747 .461 .265 .154 .108 .050 .387 .676 .644 .439 .308 .231 .159 .100 .033 .277 .400 .308 .229 .237 .219 .133 .048 .018 .147 .159 .107 .129 .214 .214 .098 .015 2046 13.813 5446 -3.063 15.44958 .029448 .056036 .016933 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .000 .000 .000 .002 .010 .004 .006 .054 .060 .015 .000 .025 .190 .187 .275 .035 .054 .279 .474 .820 .030 .061 .207 .405 1.000 .007 .006 .001 .020 .355 .022 .030 .211 .066 .007 .048 .067 .127 .007 .003 .200 .218 .041 .044 .058 r_peak,r_snr = 9.38497E-02 13.3327 Correlation Surface of oversamples image at 146 5846 .105 .181 .154 .108 .100 .088 .059 .027 .005 .225 .254 .207 .209 .263 .239 .137 .058 .019 .368 .356 .317 .393 .520 .461 .260 .119 .049 .519 .485 .475 .635 .815 .694 .395 .185 .073 .579 .533 .571 .808 1.000 .809 .458 .209 .078 .427 .387 .482 .766 .933 .722 .398 .180 .072 .168 .149 .254 .507 .644 .496 .270 .133 .074 .012 .009 .057 .205 .305 .245 .143 .092 .076 .032 .034 .001 .029 .077 .071 .049 .047 .050 146 14.000 5846 8.625 13.33271 .026663 .059262 -.012354 Correlation Surface at 246 5846 .068 .001 .108 .038 .038 .119 .001 .010 .049 .003 .000 .006 .019 .000 .000 .003 .044 .239 .000 .061 .000 .004 .001 .001 .009 .134 .313 .000 .096 .135 .234 .305 .223 .015 .094 .371 .047 .021 .285 .651 1.000 .537 .001 .052 .122 r_peak,r_snr = 8.44355E-02 7.15908 Correlation Surface of oversamples image at 246 5846 .044 .289 .728 1.326 .216 .539 .922 1.549 .488 .657 1.016 1.939 .648 .633 1.141 2.542 .581 .572 1.363 3.076 .382 .531 1.587 3.141 .167 .480 1.643 2.644 .038 .398 1.445 1.827 .003 .294 .999 .979 246 4.844 5846 13.438 7.15908 .079612 .065584 .005727 Correlation Surface at 446 5846 .004 .015 .016 .113 .621 .270 .042 .152 .008 .014 .001 .014 .067 .473 .192 .000 .027 .032 .013 .010 .000 .006 .360 .240 .022 .081 .088 .030 .040 .002 .019 .612 .478 .012 .193 .026 .153 .034 .003 .122 1.000 .547 .001 .038 .012 .008 .001 .000 .118 .733 .265 .004 .019 .068 .113 .114 .031 .052 .335 .124 .000 .025 .091 .233 .169 .019 .036 .186 .105 .001 .025 .122 .168 .057 .002 .117 .230 .093 .025 .045 .057 r_peak,r_snr = .1095886 13.59616 Correlation Surface of oversamples image at 446 5846 .003 .000 .021 .136 .322 .388 .242 .097 .036 .004 .000 .023 .183 .467 .587 .372 .145 .037 .001 .001 .049 .298 .708 .819 .476 .151 .016 .002 .010 .099 .449 .934 .971 .512 .126 .002 .012 .028 .147 .543 1.000 .957 .475 .095 .000 .021 .043 .166 .521 .871 .809 .400 .074 .000 .017 .045 .153 .417 .661 .628 .327 .063 .001 .006 .036 .120 .299 .475 .485 .275 .061 .005 .001 .024 .083 .204 .351 .396 .247 .066 .008 446 .250 5846 -.188 13.59616 .015469 .077263 .010717 Correlation Surface at 546 5846 .000 .026 .265 .591 .803 .566 .267 .097 .012 .011 .015 .219 .587 .784 .532 .271 .116 .013 .007 .018 .197 .581 .770 .500 .241 .104 .009 .000 .022 .175 .569 .872 .589 .254 .106 .008 .001 .016 .154 .585 1.000 .716 .280 .091 .002 .000 .019 .183 .572 .963 .689 .254 .084 .004 .000 .038 .217 .560 .868 .609 .283 .119 .016 .000 .043 .178 .525 .832 .643 .351 .137 .014 .001 .028 .128 .469 .835 .645 .336 .104 .003 r_peak,r_snr = .3130683 7.2624 Correlation Surface of oversamples image at 546 5846 .165 .317 .516 .718 .811 .730 .545 .367 .243 .162 .320 .537 .758 .860 .770 .570 .383 .254 .166 .337 .575 .815 .922 .819 .603 .406 .266 .170 .354 .611 .866 .976 .868 .639 .428 .273 .167 .358 .622 .882 1.000 .900 .668 .440 .268 .159 .346 .596 .849 .985 .909 .680 .436 .252 .157 .328 .551 .793 .948 .897 .674 .423 .243 .164 .317 .511 .740 .903 .865 .651 .415 .250 .179 .317 .494 .710 .860 .818 .625 .419 .276 546 .031 5846 -1.281 7.26240 .006855 .095986 -.004475 Correlation Surface at 646 5846 .142 .213 .322 .495 .718 .668 .469 .376 .289 .193 .249 .333 .563 .785 .682 .424 .299 .233 .239 .293 .395 .641 .862 .686 .403 .279 .198 .230 .287 .401 .678 .966 .733 .469 .318 .215 .163 .217 .349 .688 1.000 .762 .511 .327 .214 .109 .163 .275 .605 .863 .658 .444 .283 .246 .094 .160 .261 .586 .770 .571 .365 .285 .345 .103 .201 .325 .654 .784 .574 .367 .339 .379 .133 .230 .374 .670 .804 .611 .404 .351 .307 r_peak,r_snr = .3849277 3.76082 Correlation Surface of oversamples image at 646 5846 .631 .705 .811 .884 .894 .832 .739 .664 .611 .694 .776 .860 .910 .916 .856 .753 .664 .605 .726 .798 .869 .926 .952 .902 .793 .690 .623 .711 .771 .848 .934 .987 .955 .844 .730 .653 .652 .709 .805 .921 1.000 .982 .874 .754 .669 .571 .633 .750 .888 .978 .959 .851 .733 .653 .502 .573 .709 .859 .936 .894 .780 .676 .614 .463 .548 .699 .846 .890 .810 .689 .605 .565 .454 .552 .712 .847 .849 .735 .613 .547 .521 646 .156 5846 -.719 3.76082 .006147 .049168 -.000060 Correlation Surface at 746 5846 .013 .050 .106 .433 .500 .216 .023 .000 .002 .003 .015 .104 .402 .377 .189 .048 .045 .027 .004 .011 .124 .351 .507 .280 .149 .105 .006 .024 .001 .076 .378 .866 .411 .177 .023 .002 .049 .002 .041 .446 1.000 .421 .101 .000 .000 .069 .003 .025 .289 .736 .373 .047 .000 .002 .072 .000 .006 .150 .701 .348 .036 .003 .015 .062 .000 .023 .254 .813 .249 .045 .010 .029 .030 .015 .101 .385 .588 .171 .059 .002 .024 r_peak,r_snr = .1939736 10.40484 Correlation Surface of oversamples image at 746 5846 .164 .267 .363 .456 .522 .475 .316 .183 .145 .149 .234 .350 .527 .671 .608 .401 .246 .187 .116 .204 .374 .656 .854 .742 .477 .288 .189 .087 .187 .418 .782 .989 .817 .508 .287 .152 .065 .176 .439 .823 1.000 .794 .475 .243 .104 .051 .154 .400 .751 .897 .704 .410 .189 .067 .036 .112 .315 .619 .761 .617 .357 .149 .048 .021 .074 .244 .519 .680 .585 .335 .129 .042 .014 .062 .229 .506 .694 .607 .331 .120 .043 746 -.031 5846 -3.219 10.40485 .007505 .056776 -.001226 Correlation Surface at 846 5846 .064 .008 .190 .035 .155 .249 .049 .138 .049 .016 .041 .184 .007 .183 .129 .050 .081 .056 .006 .032 .060 .001 .228 .203 .002 .053 .060 .030 .054 .000 .014 .616 .292 .000 .034 .079 .194 .128 .000 .204 1.000 .184 .001 .014 .031 .138 .000 .002 .272 .473 .037 .001 .001 .007 .001 .094 .010 .050 .073 .004 .001 .014 .029 .004 .075 .013 .012 .067 .052 .033 .056 .031 .060 .013 .006 .051 .158 .155 .076 .116 .175 r_peak,r_snr = 9.09269E-02 10.13262 Correlation Surface of oversamples image at 846 5846 .021 .000 .016 .128 .398 .543 .305 .036 .011 .001 .001 .009 .137 .495 .649 .318 .032 .007 .004 .000 .016 .239 .708 .765 .318 .035 .000 .000 .000 .071 .466 .941 .786 .283 .044 .008 .006 .012 .226 .717 1.000 .673 .233 .064 .030 .002 .077 .401 .758 .791 .475 .179 .070 .035 .000 .134 .378 .491 .432 .255 .104 .041 .011 .001 .093 .174 .171 .150 .098 .037 .007 .000 .001 .020 .027 .025 .036 .034 .010 .000 .003 846 .031 5846 -.156 10.13262 .017060 .060852 .013926 Correlation Surface at 946 5846 .546 .595 .660 .748 .934 .834 .691 .597 .568 .523 .606 .599 .704 .892 .793 .688 .613 .595 .527 .581 .566 .697 .864 .771 .666 .588 .572 .548 .553 .578 .727 .917 .811 .617 .556 .519 .587 .578 .602 .762 1.000 .864 .655 .557 .504 .633 .601 .591 .753 .986 .866 .720 .558 .503 .611 .585 .574 .738 .925 .832 .727 .564 .507 .558 .554 .574 .773 .914 .811 .721 .569 .500 .526 .510 .584 .800 .917 .792 .697 .536 .463 r_peak,r_snr = .4681439 1.86381 Correlation Surface of oversamples image at 946 5846 .498 .546 .649 .772 .832 .781 .684 .609 .541 .511 .563 .666 .791 .860 .819 .716 .618 .536 .522 .577 .687 .828 .916 .880 .760 .640 .551 .517 .580 .704 .867 .972 .932 .795 .665 .581 .502 .576 .714 .893 1.000 .948 .805 .686 .608 .488 .570 .716 .892 .982 .918 .787 .687 .616 .487 .571 .713 .869 .931 .863 .750 .668 .606 .501 .582 .713 .841 .879 .813 .715 .645 .594 .518 .597 .719 .827 .852 .788 .696 .629 .589 946 .063 5846 .531 1.86381 .006885 .075588 -.001796 Correlation Surface at 1046 5846 .001 .028 .101 .026 .006 .006 .042 .036 .014 .025 .088 .161 .046 .004 .000 .029 .044 .003 .010 .054 .139 .032 .098 .048 .010 .014 .000 .005 .000 .042 .005 .477 .240 .008 .000 .001 .022 .017 .000 .156 1.000 .506 .044 .008 .004 .004 .023 .018 .232 .855 .335 .000 .045 .013 .000 .013 .026 .082 .316 .036 .055 .057 .036 .001 .019 .033 .034 .127 .001 .069 .081 .030 .000 .044 .034 .059 .171 .021 .024 .081 .012 r_peak,r_snr = .1436136 28.51067 Correlation Surface of oversamples image at 1046 5846 .103 .048 .000 .052 .162 .177 .100 .048 .026 .050 .016 .010 .148 .338 .349 .232 .141 .080 .023 .002 .054 .319 .596 .595 .418 .255 .126 .008 .003 .132 .516 .863 .847 .583 .318 .124 .000 .020 .202 .627 1.000 .959 .607 .269 .068 .003 .039 .204 .572 .902 .826 .451 .138 .012 .011 .035 .137 .392 .618 .514 .217 .029 .002 .012 .016 .062 .211 .322 .222 .056 .000 .028 .007 .002 .020 .096 .133 .067 .004 .018 .057 1046 .188 5846 -.469 28.51068 .009216 .038481 .004647 Correlation Surface at 1146 5846 .090 .019 .008 .126 .140 .029 .031 .017 .000 .057 .040 .056 .086 .396 .227 .005 .085 .109 .035 .027 .081 .161 .707 .544 .216 .109 .239 .006 .012 .015 .255 .840 .708 .114 .012 .164 .001 .216 .140 .286 1.000 .611 .067 .040 .004 .061 .216 .053 .291 .671 .339 .218 .032 .115 .009 .000 .006 .154 .179 .164 .077 .066 .079 .024 .211 .023 .065 .147 .147 .014 .139 .027 .008 .118 .007 .048 .203 .121 .001 .017 .178 r_peak,r_snr = 7.58239E-02 9.10069 Correlation Surface of oversamples image at 1146 5846 .146 .518 1.136 1.640 .847 1.017 1.213 1.638 1.094 .682 .674 1.432 .582 .156 .275 1.450 .144 .008 .183 1.599 .092 .029 .310 1.427 .427 .321 .472 .600 1.275 .773 .265 .001 1.617 .534 .003 .593 1146 3.938 5846 .781 9.10069 .053426 .301409 .043443 Correlation Surface at 1246 5846 .028 .001 .007 .001 .018 .038 .006 .017 .012 .032 .004 .018 .036 .023 .051 .002 .009 .018 .002 .089 .155 .065 .144 .169 .004 .033 .016 .000 .026 .003 .077 .611 .174 .002 .000 .020 .065 .175 .054 .335 1.000 .193 .001 .000 .001 .210 .298 .000 .602 .803 .229 .021 .070 .112 .071 .066 .018 .346 .454 .136 .052 .217 .216 .010 .026 .001 .163 .286 .092 .133 .137 .110 .031 .017 .001 .137 .237 .165 .197 .025 .008 r_peak,r_snr = 9.88269E-02 13.48022 Correlation Surface of oversamples image at 1246 5846 .176 .139 .071 .054 .112 .180 .089 .000 .033 .268 .189 .116 .150 .315 .383 .138 .000 .039 .192 .124 .122 .287 .603 .565 .136 .003 .051 .040 .038 .125 .475 .879 .620 .091 .013 .052 .003 .008 .175 .684 1.000 .532 .047 .018 .030 .029 .017 .306 .850 .932 .388 .026 .008 .006 .007 .100 .530 .930 .765 .276 .027 .000 .000 .018 .291 .729 .870 .582 .222 .044 .006 .008 .113 .462 .773 .724 .456 .209 .060 .013 .024 1246 -.094 5846 .688 13.48022 .017400 .121330 .017203 Correlation Surface at 1346 5846 .009 .102 .089 .312 .487 .446 .387 .212 .089 .014 .076 .023 .065 .219 .406 .250 .098 .078 .004 .033 .026 .018 .181 .333 .110 .037 .022 .005 .040 .047 .094 .492 .495 .242 .073 .052 .030 .042 .055 .359 1.000 .684 .401 .186 .179 .015 .000 .055 .372 .769 .498 .220 .194 .212 .010 .036 .001 .059 .380 .256 .059 .165 .242 .025 .047 .065 .017 .288 .135 .053 .177 .300 .021 .037 .009 .138 .265 .170 .183 .179 .234 r_peak,r_snr = .1197366 7.18543 Correlation Surface of oversamples image at 1346 5846 .112 .074 .033 .032 .075 .127 .134 .095 .051 .145 .092 .048 .061 .133 .195 .171 .095 .040 .183 .137 .122 .199 .350 .412 .303 .158 .072 .200 .199 .276 .484 .724 .727 .490 .271 .141 .182 .262 .455 .758 1.000 .928 .626 .362 .192 .167 .328 .558 .799 .970 .916 .656 .388 .201 .154 .328 .468 .585 .738 .790 .612 .356 .170 .109 .210 .251 .335 .544 .686 .536 .273 .109 .044 .071 .096 .219 .491 .634 .423 .155 .045 1346 .125 5846 .188 7.18543 .028103 .048269 .010027 Correlation Surface at 1446 5846 .137 .055 .016 .007 .010 .025 .038 .059 .024 .002 .005 .015 .002 .049 .109 .083 .101 .030 .042 .002 .028 .074 .364 .331 .194 .025 .027 .001 .011 .021 .279 .795 .631 .187 .011 .036 .034 .028 .052 .362 1.000 .616 .130 .113 .026 .061 .041 .058 .339 .870 .333 .080 .124 .029 .049 .008 .010 .388 .624 .136 .007 .020 .090 .031 .000 .021 .389 .450 .030 .012 .007 .120 .012 .005 .061 .314 .361 .002 .008 .035 .110 r_peak,r_snr = .1223172 11.00378 Correlation Surface of oversamples image at 1446 5846 .000 .020 .101 .317 .643 .750 .474 .121 .000 .004 .001 .050 .312 .709 .739 .388 .083 .001 .014 .001 .055 .404 .811 .734 .344 .069 .002 .027 .000 .112 .566 .923 .740 .318 .051 .000 .033 .003 .216 .735 1.000 .726 .271 .024 .005 .028 .018 .310 .809 .959 .618 .177 .003 .018 .024 .026 .308 .689 .736 .409 .073 .003 .034 .009 .038 .274 .543 .547 .272 .032 .007 .020 1446 -.031 5846 1.031 11.00378 .026920 .246694 .034007 Correlation Surface at 1546 5846 .001 .004 .018 .139 .281 .548 .079 .000 .000 .001 .017 .025 .077 .438 .511 .234 .132 .012 .024 .002 .002 .079 .568 .596 .567 .419 .017 .038 .001 .007 .111 .777 .928 .473 .289 .000 .002 .014 .025 .126 1.000 .495 .088 .088 .000 .010 .067 .036 .141 .544 .079 .033 .055 .005 .107 .094 .012 .170 .298 .226 .149 .012 .090 .162 .031 .000 .317 .711 .657 .140 .000 .124 .083 .017 .000 .407 .941 .504 .147 .006 .077 r_peak,r_snr = .113038 10.15522 Correlation Surface of oversamples image at 1546 5846 .002 .000 .016 .174 .395 .454 .519 .598 .547 .003 .000 .057 .292 .507 .634 .780 .829 .720 .009 .004 .132 .422 .668 .848 .924 .857 .703 .006 .021 .224 .583 .874 .948 .813 .643 .514 .001 .053 .326 .766 1.000 .807 .498 .338 .295 .001 .088 .421 .869 .885 .478 .195 .131 .161 .005 .112 .459 .777 .570 .191 .054 .064 .128 .007 .114 .397 .533 .284 .070 .034 .089 .167 .009 .098 .289 .330 .166 .072 .095 .193 .232 1546 .438 5846 -2.375 10.15523 .017042 .075963 .019008 Correlation Surface at 1746 5846 .082 .190 .011 .029 .651 .740 .339 .129 .008 .006 .072 .057 .201 .345 .329 .239 .396 .018 .005 .075 .076 .109 .137 .205 .629 .506 .025 .005 .013 .005 .097 .450 .825 .967 .228 .039 .110 .218 .022 .465 1.000 .726 .210 .000 .220 .057 .146 .000 .459 .484 .184 .001 .025 .035 .004 .155 .027 .094 .341 .072 .006 .005 .085 .012 .333 .073 .204 .551 .000 .009 .039 .416 .014 .363 .002 .454 .247 .001 .002 .031 .627 r_peak,r_snr = 7.17482E-02 7.79316 Correlation Surface of oversamples image at 1746 5846 .338 .344 .367 .345 .253 .267 .491 .727 .568 .267 .267 .294 .293 .309 .471 .763 .767 .393 .153 .204 .277 .366 .547 .801 .857 .506 .133 .067 .177 .339 .573 .879 .990 .644 .190 .007 .033 .191 .450 .765 1.000 .818 .310 .028 .015 .029 .212 .473 .702 .755 .443 .089 .001 .054 .031 .176 .334 .444 .397 .166 .011 .018 .072 .019 .093 .174 .230 .177 .048 .001 .045 .071 .004 .042 .109 .148 .089 .006 .030 .082 .054 1746 1.219 5846 4.250 7.79316 .161601 .097140 .081210 Correlation Surface at 1946 5846 .214 .009 .002 .321 .019 .197 .091 .267 .200 .188 .061 .014 .032 .018 .121 .054 .781 .382 .032 .363 .061 .106 .021 .087 .709 .836 .284 .299 .173 .074 .177 .257 .754 .678 .264 .015 .047 .000 .074 .001 1.000 .585 .063 .000 .048 .077 .040 .056 .113 .640 .137 .035 .043 .011 .240 .000 .103 .002 .103 .011 .049 .015 .070 .097 .145 .197 .106 .004 .003 .001 .262 .098 .000 .164 .024 .009 .063 .059 .220 .362 .229 r_peak,r_snr = 7.46240E-02 7.28663 Correlation Surface of oversamples image at 1946 5846 .204 .103 .002 .107 .337 .342 .232 .096 .003 .268 .573 .484 .160 .020 .090 .584 .861 .641 .023 .026 .342 .914 1.000 .686 .037 .216 .607 .990 .859 .565 .261 .433 .668 .783 .561 .356 .500 .493 .511 .458 .279 .163 .597 .396 .269 .175 .088 .035 1946 10.750 5846 4.656 7.28663 .025675 .063645 .023195 Correlation Surface at 2046 5846 .090 .009 .081 .065 .312 .245 .012 .047 .011 .193 .006 .001 .063 .429 .185 .000 .031 .007 .329 .044 .000 .127 .398 .211 .059 .007 .048 .270 .012 .010 .084 .485 .490 .245 .047 .006 .151 .006 .002 .230 1.000 .607 .171 .019 .001 .126 .000 .048 .602 .850 .162 .013 .010 .000 .108 .002 .209 .438 .189 .023 .000 .001 .004 .138 .001 .215 .144 .031 .035 .026 .081 .071 .102 .019 .137 .070 .004 .028 .059 .201 .159 r_peak,r_snr = .127711 13.94887 Correlation Surface of oversamples image at 2046 5846 .000 .001 .013 .086 .229 .312 .331 .330 .282 .003 .004 .001 .085 .296 .444 .503 .504 .419 .011 .011 .007 .187 .511 .680 .676 .580 .415 .005 .000 .088 .457 .822 .862 .672 .447 .262 .005 .065 .345 .800 1.000 .805 .465 .224 .101 .073 .274 .655 .934 .872 .543 .227 .078 .021 .213 .509 .747 .744 .548 .279 .097 .029 .004 .364 .599 .584 .426 .266 .137 .063 .031 .008 .453 .524 .356 .196 .119 .086 .074 .060 .034 2046 -.094 5846 -.375 13.94888 .022730 .066025 .023590 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2940853 39.01234 146 .063 3046 .000 39.01234 .002583 .005474 .000570 r_peak,r_snr = .2801326 25.68925 246 .000 3046 -.031 25.68926 .003297 .005463 .000653 r_peak,r_snr = .1610824 27.78752 346 .063 3046 -.156 27.78753 .006035 .010978 .002194 r_peak,r_snr = .2578958 30.12261 446 .000 3046 -.031 30.12262 .002676 .007062 .000526 r_peak,r_snr = .191196 39.19943 546 -.031 3046 -.250 39.19943 .004910 .019836 .002156 r_peak,r_snr = .2558773 51.82487 646 .000 3046 -.156 51.82488 .002550 .007354 .001192 r_peak,r_snr = .2800704 50.21813 746 -.031 3046 .000 50.21814 .001874 .008316 .000614 r_peak,r_snr = .2722611 62.05542 846 -.094 3046 -.063 62.05543 .001951 .005700 .000691 r_peak,r_snr = .2826661 57.41132 946 .000 3046 .063 57.41133 .001831 .004004 .000718 r_peak,r_snr = .2336891 75.34204 1046 .094 3046 -.063 75.34205 .002233 .005983 .000260 r_peak,r_snr = .2909365 54.99927 1146 .000 3046 .000 54.99928 .002089 .005457 .000925 r_peak,r_snr = .2167367 32.97668 1246 -.125 3046 -.156 32.97668 .003811 .018425 .002881 r_peak,r_snr = .2275549 30.38613 1346 -.125 3046 .031 30.38614 .003768 .010164 .001264 r_peak,r_snr = .1731685 14.70936 1446 -.031 3046 .031 14.70937 .008093 .017579 .003924 r_peak,r_snr = .2763382 40.3152 1546 .094 3046 -.281 40.31520 .002272 .006854 .001205 r_peak,r_snr = .2070759 12.03372 1646 .063 3046 .125 12.03373 .009340 .024238 .003394 r_peak,r_snr = .2934387 4.53308 1746 .188 3046 -.188 4.53308 .008278 .035214 .005452 r_peak,r_snr = .1878123 17.12756 1846 .063 3046 -.063 17.12757 .005452 .012144 .000618 r_peak,r_snr = .1105938 22.29185 1946 -.094 3046 .063 22.29185 .009333 .026852 .000595 r_peak,r_snr = .2041111 19.33864 2046 .156 3046 -.469 19.33865 .007176 .026230 .004884 At line = 3400 Reading in data.... r_peak,r_snr = .2380017 35.09039 146 -.094 3446 -.094 35.09040 .003684 .007796 -.000050 r_peak,r_snr = .2255904 9.66104 246 -.031 3446 .000 9.66104 .005155 .011072 -.000764 r_peak,r_snr = .2159511 55.39293 346 -.156 3446 -.094 55.39293 .003375 .006800 .000584 r_peak,r_snr = .2939254 14.81403 446 -.063 3446 .063 14.81404 .002167 .010978 .000426 r_peak,r_snr = .2553576 34.2868 546 .188 3446 .000 34.28681 .003270 .008396 .001778 r_peak,r_snr = .2530717 24.89815 646 -.031 3446 -.125 24.89815 .003897 .009343 .001672 r_peak,r_snr = .2932443 25.64466 746 -.063 3446 -.094 25.64467 .002981 .007924 .000824 r_peak,r_snr = .271938 91.05819 846 -.063 3446 .031 91.05820 .002131 .003909 .000664 r_peak,r_snr = .2850812 44.87776 946 .031 3446 -.063 44.87776 .001870 .004406 .000474 r_peak,r_snr = .2218344 37.89277 1046 -.156 3446 .125 37.89278 .003112 .006684 .001238 r_peak,r_snr = .2596566 65.88659 1146 -.031 3446 .156 65.88660 .002841 .004026 .000943 r_peak,r_snr = .2320018 34.91012 1246 -.031 3446 .000 34.91013 .002903 .011728 .001301 r_peak,r_snr = .1718689 33.26919 1346 -.031 3446 -.219 33.26919 .004343 .009648 .001562 r_peak,r_snr = .2138006 24.47967 1446 .000 3446 .031 24.47967 .004572 .011982 .001663 r_peak,r_snr = .2125284 33.21875 1546 .125 3446 -.156 33.21875 .003682 .010837 .000966 r_peak,r_snr = .172576 38.12866 1646 .094 3446 .031 38.12867 .005388 .015380 .001580 r_peak,r_snr = .2949906 8.01151 1746 -.094 3446 -.156 8.01151 .004600 .025503 .002893 r_peak,r_snr = .1262586 9.0826 1846 .281 3446 -.500 9.08260 .032410 .064926 .020535 r_peak,r_snr = .1466499 23.17199 1946 .031 3446 .063 23.17199 .006177 .014844 .001171 r_peak,r_snr = .1186464 20.08859 2046 -.156 3446 .375 20.08860 .007185 .022647 .001327 At line = 3800 Reading in data.... r_peak,r_snr = .1988628 39.26574 146 .000 3846 -.031 39.26575 .004122 .010541 .000607 r_peak,r_snr = .1475424 30.98599 246 .000 3846 -.156 30.98600 .007743 .015679 .003290 r_peak,r_snr = .1525095 28.96392 346 .000 3846 .000 28.96393 .006836 .015771 .000987 r_peak,r_snr = .2820073 25.90934 446 .031 3846 -.125 25.90934 .002570 .008721 .000626 r_peak,r_snr = .2342293 34.97091 546 -.094 3846 -.156 34.97092 .004748 .007147 .001164 r_peak,r_snr = .1809841 14.20976 646 -.250 3846 .375 14.20977 .005408 .032713 -.000328 r_peak,r_snr = .3220413 37.12473 746 .000 3846 .219 37.12474 .001954 .005696 .000463 r_peak,r_snr = .210797 70.13459 846 -.094 3846 -.031 70.13460 .002434 .005246 .000605 r_peak,r_snr = .3409514 64.60487 946 .000 3846 -.031 64.60487 .001444 .003288 .000544 r_peak,r_snr = .1366512 25.85209 1046 -.094 3846 -.031 25.85210 .010080 .019148 .005643 r_peak,r_snr = .2382102 67.50914 1146 -.094 3846 .063 67.50915 .002793 .005749 .001227 r_peak,r_snr = .2085648 26.93737 1246 .000 3846 .438 26.93737 .003590 .013115 .001193 r_peak,r_snr = .1990674 40.93806 1346 .094 3846 -.250 40.93806 .003911 .009003 .001390 r_peak,r_snr = .2472297 44.12714 1446 .063 3846 -.188 44.12714 .002556 .005396 .001011 r_peak,r_snr = .2388026 43.19277 1546 .000 3846 .063 43.19278 .002587 .011173 .000299 r_peak,r_snr = .1809915 38.91207 1646 -.031 3846 -.094 38.91207 .004227 .006664 .001043 r_peak,r_snr = .2006577 44.84476 1746 .000 3846 .000 44.84476 .005564 .008592 .001562 r_peak,r_snr = .2626919 46.11609 1846 .000 3846 -.031 46.11609 .002743 .006438 .001035 r_peak,r_snr = .2008872 44.2187 1946 -.063 3846 .000 44.21870 .002985 .007035 .001443 r_peak,r_snr = .2562689 57.29795 2046 .094 3846 .000 57.29795 .002104 .007820 .000850 At line = 4200 Reading in data.... r_peak,r_snr = .2904065 49.72232 146 .094 4246 .000 49.72232 .002239 .005893 .000180 r_peak,r_snr = .1836976 15.85032 246 -.094 4246 .094 15.85032 .005953 .018064 .002984 r_peak,r_snr = .1117858 17.44331 346 -.156 4246 -.219 17.44331 .011117 .026426 .006562 r_peak,r_snr = .3474235 55.5365 446 .000 4246 -.031 55.53651 .001387 .002795 .000212 r_peak,r_snr = .2265836 34.38947 546 -.031 4246 .031 34.38947 .002855 .006764 .000851 r_peak,r_snr = .2999436 39.08097 646 -.094 4246 -.219 39.08097 .002361 .005609 .000695 r_peak,r_snr = .2946416 38.91378 746 .000 4246 .125 38.91378 .001899 .004656 .000611 r_peak,r_snr = .2749865 61.30965 846 .031 4246 -.063 61.30965 .002442 .004606 .000626 r_peak,r_snr = .2573564 38.91643 946 .031 4246 -.063 38.91643 .002329 .004935 .000808 r_peak,r_snr = .2603961 51.88865 1046 -.031 4246 -.031 51.88865 .002189 .004245 .000440 r_peak,r_snr = .2284651 67.49959 1146 .063 4246 -.219 67.49960 .002442 .005048 .000599 r_peak,r_snr = .278626 35.90427 1246 .094 4246 .000 35.90427 .002491 .005264 .000883 r_peak,r_snr = .2245912 43.68413 1346 -.156 4246 .469 43.68414 .003851 .007734 .001700 r_peak,r_snr = .2566985 40.46046 1446 -.063 4246 .031 40.46047 .002489 .006761 .000598 r_peak,r_snr = .213609 25.0954 1546 -.125 4246 -.125 25.09541 .003684 .018144 .001863 r_peak,r_snr = .2684796 39.74987 1646 -.063 4246 .000 39.74987 .002397 .007755 .001014 r_peak,r_snr = .1530005 17.62466 1746 -.188 4246 -.125 17.62466 .006223 .031813 .000080 r_peak,r_snr = .2053383 25.70909 1846 -.063 4246 .063 25.70909 .004088 .017476 .001387 r_peak,r_snr = .2124491 25.97752 1946 .125 4246 .063 25.97753 .003984 .010759 .001070 r_peak,r_snr = .2727811 44.96134 2046 .063 4246 -.063 44.96134 .002189 .004887 .000738 At line = 4600 Reading in data.... r_peak,r_snr = .186149 43.33669 146 -.094 4646 .031 43.33669 .004134 .005725 .000712 r_peak,r_snr = .1301219 12.40852 246 -.188 4646 .063 12.40853 .012634 .021653 .003744 r_peak,r_snr = .2003639 30.41221 346 .094 4646 -.188 30.41222 .004344 .010471 .001673 r_peak,r_snr = .3073732 29.2993 446 .031 4646 .188 29.29930 .002012 .004672 .000522 r_peak,r_snr = .4073865 14.59271 546 .031 4646 -.063 14.59272 .001564 .004591 .000408 r_peak,r_snr = .3196243 25.88599 646 -.031 4646 .125 25.88600 .002167 .005177 .001067 r_peak,r_snr = .3515636 59.5594 746 .031 4646 .031 59.55940 .001185 .003550 .000430 r_peak,r_snr = .2872487 45.92433 846 .063 4646 -.281 45.92434 .001837 .006181 .000595 r_peak,r_snr = .3367103 36.00113 946 -.063 4646 -.031 36.00113 .001503 .003645 .000582 r_peak,r_snr = .269635 57.50475 1046 .063 4646 -.063 57.50475 .002496 .005585 .000824 r_peak,r_snr = .2649925 67.06095 1146 .031 4646 -.125 67.06096 .002098 .003838 .000554 r_peak,r_snr = .2367326 23.72969 1246 .000 4646 -.250 23.72969 .004270 .011463 .002649 r_peak,r_snr = .2114691 38.43955 1346 -.094 4646 -.063 38.43956 .003163 .010217 .001392 r_peak,r_snr = .2274814 31.88026 1446 -.031 4646 .219 31.88026 .002874 .009636 .001373 r_peak,r_snr = .2769314 45.67269 1546 .000 4646 .188 45.67270 .001903 .008083 .000781 r_peak,r_snr = .2313251 20.83862 1646 .063 4646 .031 20.83862 .003469 .010427 .001082 r_peak,r_snr = .2540484 32.17348 1746 .063 4646 -.156 32.17348 .002568 .006456 .001136 r_peak,r_snr = .170281 28.04762 1846 .031 4646 .000 28.04762 .005449 .015203 .000672 r_peak,r_snr = .163369 31.15776 1946 -.250 4646 .188 31.15776 .009853 .013697 .003406 r_peak,r_snr = .1775936 25.57671 2046 .031 4646 .313 25.57672 .006860 .038608 .006099 At line = 5000 Reading in data.... r_peak,r_snr = .2520326 26.23994 146 .156 5046 .094 26.23994 .003867 .006974 .000682 r_peak,r_snr = .1068783 16.70965 246 -.063 5046 .406 16.70966 .005522 .025601 .001191 r_peak,r_snr = .153191 37.31321 346 -.219 5046 .188 37.31322 .006583 .009100 .002148 r_peak,r_snr = .2146887 40.69095 446 .094 5046 -.031 40.69096 .003199 .009674 .001305 r_peak,r_snr = .3845571 28.80609 546 -.031 5046 -.063 28.80610 .001479 .003925 .000512 r_peak,r_snr = .3415066 19.39948 646 -.094 5046 .000 19.39949 .002119 .011287 .000837 r_peak,r_snr = .2207716 42.66335 746 .000 5046 -.344 42.66336 .003357 .013420 .001232 r_peak,r_snr = .3118532 48.89349 846 -.063 5046 .094 48.89349 .001723 .003534 .000416 r_peak,r_snr = .2140266 27.59946 946 -.094 5046 -.031 27.59946 .003083 .007404 .000663 r_peak,r_snr = .2926243 86.23091 1046 .063 5046 .094 86.23092 .001486 .003466 .000523 r_peak,r_snr = .268689 54.71892 1146 .031 5046 .031 54.71892 .002308 .004022 .000538 r_peak,r_snr = .3410993 9.11086 1246 .031 5046 -.125 9.11086 .003550 .012426 .001658 r_peak,r_snr = .2120186 53.32521 1346 .031 5046 .031 53.32522 .003642 .008092 .001049 r_peak,r_snr = .2739604 47.42412 1446 .031 5046 .031 47.42412 .002278 .005142 .000723 r_peak,r_snr = .2469996 57.40345 1546 .125 5046 -.156 57.40345 .002723 .007492 .000949 r_peak,r_snr = .2097502 41.87257 1646 .031 5046 -.094 41.87257 .002880 .009386 .001521 r_peak,r_snr = .1469791 21.74684 1746 .281 5046 -.031 21.74685 .006972 .028025 -.001401 r_peak,r_snr = .1689727 26.89195 1846 -.094 5046 .125 26.89195 .004199 .012137 .001625 r_peak,r_snr = .2250021 33.52214 1946 -.156 5046 .281 33.52214 .002964 .006925 .001372 r_peak,r_snr = .145082 20.68408 2046 -.219 5046 .500 20.68408 .008988 .019512 .002992 At line = 5400 Reading in data.... r_peak,r_snr = .1775357 14.14863 146 -.031 5446 -.438 14.14864 .006537 .013339 .000443 r_peak,r_snr = .1303686 21.03828 246 -.344 5446 .219 21.03828 .007610 .012467 .002726 r_peak,r_snr = .193131 26.64402 346 -.094 5446 -.406 26.64402 .005808 .011041 .001211 r_peak,r_snr = .1692525 24.10359 446 .125 5446 .219 24.10360 .007503 .026794 .004562 r_peak,r_snr = .4572697 11.42375 546 .063 5446 .063 11.42375 .001361 .004973 .000217 r_peak,r_snr = .3373508 9.98873 646 .125 5446 .094 9.98873 .002288 .009434 .000199 r_peak,r_snr = .2214323 54.76301 746 -.063 5446 -.063 54.76302 .003450 .008488 .001102 r_peak,r_snr = .3344991 58.89602 846 -.063 5446 -.063 58.89603 .001534 .003287 .000672 r_peak,r_snr = .3276605 64.36509 946 -.063 5446 -.188 64.36510 .001698 .003693 .000498 r_peak,r_snr = .1877738 34.12402 1046 .063 5446 -.281 34.12403 .003339 .009230 .001112 r_peak,r_snr = .2338015 33.19615 1146 -.156 5446 .094 33.19616 .002807 .007369 .000592 r_peak,r_snr = .2605188 29.56872 1246 .094 5446 .156 29.56872 .003245 .006122 .001071 r_peak,r_snr = .2364524 42.07627 1346 .125 5446 -.219 42.07627 .003244 .008241 .001578 r_peak,r_snr = .2033887 48.05767 1446 -.031 5446 .125 48.05767 .003076 .007041 .001036 r_peak,r_snr = .2764036 47.27631 1546 .031 5446 -.125 47.27631 .002016 .006069 .001035 r_peak,r_snr = .2815274 43.12012 1646 .125 5446 -.031 43.12012 .002148 .006623 .000868 r_peak,r_snr = .1390092 18.85906 1746 .156 5446 -.219 18.85907 .007329 .020692 .001651 r_peak,r_snr = .2710561 50.62194 1846 .000 5446 -.031 50.62194 .002359 .006913 .001390 r_peak,r_snr = 8.06371E-02 8.9476 1946 -10.156 5446 .406 8.94760 .210596 .052437 .025487 r_peak,r_snr = .2161659 46.84481 2046 -.031 5446 -.156 46.84481 .003314 .009013 .001125 At line = 5800 Reading in data.... r_peak,r_snr = .2168482 46.79848 146 -.125 5846 .125 46.79849 .003522 .006902 .000369 r_peak,r_snr = .1707497 44.04886 246 -.156 5846 .313 44.04887 .006349 .014006 .003231 r_peak,r_snr = .2732882 18.32737 346 .031 5846 -.063 18.32738 .003255 .007086 .001394 r_peak,r_snr = .2011381 36.98365 446 -.031 5846 .406 36.98365 .003462 .010590 .001089 r_peak,r_snr = .4830231 14.00011 546 .031 5846 .000 14.00012 .001365 .003972 .000370 r_peak,r_snr = .4757781 5.97218 646 -.063 5846 .281 5.97218 .001840 .008129 .000695 r_peak,r_snr = .3125957 26.33406 746 .031 5846 -.313 26.33406 .001666 .004437 .000506 r_peak,r_snr = .335439 49.3649 846 .031 5846 -.063 49.36491 .001679 .002901 .000476 r_peak,r_snr = .5836833 2.57163 946 .063 5846 .281 2.57163 .001501 .005250 .000409 r_peak,r_snr = .3646011 97.89094 1046 .000 5846 .000 97.89095 .001080 .002627 .000349 r_peak,r_snr = .2362162 66.12036 1146 .156 5846 -.031 66.12037 .002770 .005052 .000885 r_peak,r_snr = .2183164 53.25577 1246 -.125 5846 .219 53.25578 .003029 .011025 .001144 r_peak,r_snr = .2125107 22.24729 1346 .031 5846 -.063 22.24730 .005003 .008381 .001646 r_peak,r_snr = .2958027 50.28011 1446 -.063 5846 .000 50.28012 .001876 .005934 .000716 r_peak,r_snr = .1792188 34.55307 1546 -.156 5846 .031 34.55308 .004539 .010896 .001900 r_peak,r_snr = .2796286 25.25919 1646 .094 5846 -.094 25.25919 .002500 .008106 .001013 r_peak,r_snr = .1083646 11.55003 1746 .281 5846 -3.219 11.55004 .014133 .044807 .003292 r_peak,r_snr = .1739843 29.21472 1846 .063 5846 -.250 29.21473 .006338 .012328 .000523 r_peak,r_snr = 9.83528E-02 16.27289 1946 .750 5846 -.469 16.27289 .015588 .048469 .006084 r_peak,r_snr = .2379068 47.94852 2046 -.031 5846 .000 47.94852 .003305 .008163 .001347 ************************************************* ***** 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 94033 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 94033 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 94033 FOUND CALIB SET 94033 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: 119.3 -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: 119.30 deg Receiver phase difference is 101.60 deg Transmitter phase difference is 220.90 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: /data11/airops/hd5284.log non-existent Wed May 6 16:19:25 PDT 1998 Wed May 6 16:19:25 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: - - - - - - - - - - - - - - - - - - - - - Rolled out early due to autopilot problem -- will re-fly it; a lm air; using same RX gain and range gate as previous runs here f is about 1min off in lat and loneneralnrcast at CPA, very h zyobrick, Timothy William Millermothy 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: 94033 94033 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5284 prod ID1:*5284*5284* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94033 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 3.30 24 5 7 4 12 14 >> 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 = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 3.30 24 5 7 4 12 14 Done decoding data from header array... Data collected on ==> 11-JUN-1994 Starting and end GPS times for SAR data -175361538.0640 -175361488.5790 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 lati 53.89866 53.85412 53.94339 .0258101 0 loni -104.59653 -104.62297 -104.57027 .0152483 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7954.52979 7977.93018 7.0311796 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 19944 GPS time for first pulse = -175361538.062309 -175361538.064 GPS trend coefficients = 11.29828229684255 -19.5722586745192 -4.48008073919122 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 delx .25719 .25718 .25721 .0000120 0 lati 53.89866 53.85412 53.94304 .0258092 0 loni -104.59653 -104.62280 -104.57027 .0152478 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7964.24233 7968.05035 1.0432869 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 .00669 -.21266 .20231 .0786245 0 ca -.00325 -.15979 .15622 .0404518 0 aa -.03707 -.10017 .02027 .0216239 0 Average Barometric Altitude = 7936.857697500017 Average Radar Altitude = 7507.501653750039 Average GPS Altitude = 7965.849633026064 >>Record # : 64 >>GPS Stuff = 3.30 24 5 7 4 1 >>Record # : 40960 >>GPS Stuff = 3.30 24 5 7 4 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.446941071724495E-04 Standard deviation of difference = 7.050573044053900E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9016914 -104.5469360 7965.189 End position = 53.9479675 -104.5741043 7964.792 Loxodromic Heading (deg) = -19.1119199 Loxodromic Distance (km) = 5451.1592139 Geodesic Heading (deg) = -19.1009437 Geodesic Distance (km) = 5451.1591505 Peg latitude and longitude = 53.9257660 -104.5610962 Peg heading = -19.0658945 Rotation matrix First row = -.148039801 -.124105209 -.981163653 Second row = -.569919690 .821504978 -.017919793 Third row = .808254765 .556531642 -.192345436 Translation vector Vector = -1971.17712 -7588.58528 -23824.24747 Local Radius of Curvature = 6378814.405699334 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2616245587087205 Delta s on reference surface = .2616245599050372 Making fits... Vertical fit coefficients = 7966.556358552832 -6.956072162097371E-03 1.189821052051343E-03 Cross track fit coefficients = -5.05776324164515 5.659803640047484E-02 4.776805431252863E-04 Along track fit coefficients = -5390.0690037384 218.1703159889581 1.213324050638586E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3549.369570863321 Time orgin = -175361538.062309 Pulse spacing = .2571928285585597 First frame = 20894191 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/cm5284_l.par Enter the raw data file name. /data1/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5284_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hh.dat Enter histogram of the caltone phase file name: /data1/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) (-12.5594,.0) (-45.214,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 68168.12 Pulse#/64: 65 1073 34648.76 Pulse#/64: 129 1073 38335.94 Pulse#/64: 193 1073 49592.06 Pulse#/64: 257 1073 52771.61 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.88698Power RMS: 1.6265 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 200.3513Amp. RMS: 36.92406 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -9.97209Phase RMS: 242.673 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.03024 CalTone Power Coherently dB : 45.88698 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.03024 Incoherent PW - Coherent PW : 36.14325 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12599.44 CalTone Amplitude Coherently : 200.3513 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12399.09 ------------ *** ------------ running time (sec): 66.73 ********** 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/cm5284_l.par Enter the raw data file name. /data1/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5284_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hv.dat Enter histogram of the caltone phase file name: /data1/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): (-13.8482,.0) (-61.6873,.0) (22.66065,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 41057.91 Pulse#/64: 65 1073 25950.49 Pulse#/64: 129 1073 32355.75 Pulse#/64: 193 1073 37950.49 Pulse#/64: 257 1073 26530.49 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.8356Power RMS: 1.33482 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 198.0834Amp. RMS: 31.72809 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -16.5868Phase RMS: 242.8102 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.95677 CalTone Power Coherently dB : 45.8356 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.95677 Incoherent PW - Coherent PW : 36.12117 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12532.84 CalTone Amplitude Coherently : 198.0834 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12334.76 ------------ *** ------------ running time (sec): 66.52 ********** 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/cm5284_l.par Enter the raw data file name. /data1/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5284_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vh.dat Enter histogram of the caltone phase file name: /data1/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): (-25.1785,.0) (-35.2499,.0) (27.69635,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 48868.41 Pulse#/64: 65 1073 42810.12 Pulse#/64: 129 1073 30560.53 Pulse#/64: 193 1073 59172.55 Pulse#/64: 257 1073 26492.68 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.71982Power RMS: 1.3908 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 195.569Amp. RMS: 31.59299 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -43.3032Phase RMS: 236.7785 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.84645 CalTone Power Coherently dB : 45.71982 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.84645 Incoherent PW - Coherent PW : 36.12663 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12361.66 CalTone Amplitude Coherently : 195.569 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12166.09 ------------ *** ------------ running time (sec): 66.31 ********** 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/cm5284_l.par Enter the raw data file name. /data1/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5284_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vv.dat Enter histogram of the caltone phase file name: /data1/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): (25.11886,.0) (-47.7258,.0) (32.65452,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 139221.4 Pulse#/64: 65 1073 34010.46 Pulse#/64: 129 1073 51385.36 Pulse#/64: 193 1073 426432.6 Pulse#/64: 257 1073 27606.69 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.4793Power RMS: 2.23983 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 219.3771Amp. RMS: 79.31277 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 52.1199Phase RMS: 249.9934 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.22171 CalTone Power Coherently dB : 46.4793 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.22171 Incoherent PW - Coherent PW : 35.74241 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12915.94 CalTone Amplitude Coherently : 219.3771 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12696.57 ------------ *** ------------ running time (sec): 66.06 ********** 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: -5.45813 1.79456E-04 z fit: constant and linear terms: -.707215 2.83652E-08 y and z standard deviations (meters) .7514399 .9815763 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 = -.102232 -.104972 -.108387 -.105637 Differences = 3.07532E-03 3.34963E-04 -3.08018E-03 -3.29800E-04 PATCH NUMER 2 First line = 3493 Averages = -.108376 -.106426 -.103122 -.10496 Differences = -2.65525E-03 -7.04780E-04 2.59889E-03 7.61285E-04 PATCH NUMER 3 First line = 6985 Averages = -.103839 -.104178 -.10413 -.103358 Differences = 3.73945E-05 -3.01287E-04 -2.54013E-04 5.17979E-04 PATCH NUMER 4 First line = 10477 Averages = -.104501 -.104319 -9.89836E-02 -9.41998E-02 Differences = -4.00005E-03 -3.81766E-03 1.51760E-03 6.30143E-03 PATCH NUMER 5 First line = 13969 Averages = -.100813 -9.51600E-02 -9.52496E-02 -9.84777E-02 Differences = -3.38809E-03 2.26533E-03 2.17567E-03 -1.05244E-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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_hh Name of the mocomp data file? /data3/airops/cm5284_l.mocomph Output file name? /data3/airops/cm5284_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 = 2.158 Processing 5 blocks Processing block number 1 reference line: 4096 2.159 seconds. Range compression done, time = 121.370 Motion comp. coeff. calculated, time = 121.466 Motion comp. added to patch, time = 213.370 Doppler estimation done, time = 213.370 Azimuth compression starting, time : 213.485 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 594.043 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 615.938 seconds. Range compression done, time = 723.007 Motion comp. coeff. calculated, time = 723.116 Motion comp. added to patch, time = 800.467 Doppler estimation done, time = 800.467 Azimuth compression starting, time : 800.581 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1181.486 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1200.639 seconds. Range compression done, time = 1308.096 Motion comp. coeff. calculated, time = 1308.299 Motion comp. added to patch, time = 1386.054 Doppler estimation done, time = 1386.055 Azimuth compression starting, time : 1386.251 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1767.101 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1786.585 seconds. Range compression done, time = 1894.001 Motion comp. coeff. calculated, time = 1894.215 Motion comp. added to patch, time = 1971.477 Doppler estimation done, time = 1971.477 Azimuth compression starting, time : 1971.610 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2353.136 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2373.069 seconds. Range compression done, time = 2479.675 Motion comp. coeff. calculated, time = 2479.870 Motion comp. added to patch, time = 2557.106 Doppler estimation done, time = 2557.106 Azimuth compression starting, time : 2557.222 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2937.392 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_l.hh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_hv Name of the mocomp data file? /data3/airops/cm5284_l.mocomph Output file name? /data3/airops/cm5284_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 = 2.352 Processing 5 blocks Processing block number 1 reference line: 4096 2.353 seconds. Range compression done, time = 113.753 Motion comp. coeff. calculated, time = 113.830 Motion comp. added to patch, time = 193.592 Doppler estimation done, time = 193.592 Azimuth compression starting, time : 193.711 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 576.298 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 597.716 seconds. Range compression done, time = 703.954 Motion comp. coeff. calculated, time = 704.029 Motion comp. added to patch, time = 781.781 Doppler estimation done, time = 781.781 Azimuth compression starting, time : 781.915 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1194.568 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1209.503 seconds. Range compression done, time = 1318.077 Motion comp. coeff. calculated, time = 1318.678 Motion comp. added to patch, time = 1398.896 Doppler estimation done, time = 1398.896 Azimuth compression starting, time : 1399.039 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1816.977 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1836.411 seconds. Range compression done, time = 1944.601 Motion comp. coeff. calculated, time = 1944.803 Motion comp. added to patch, time = 2021.633 Doppler estimation done, time = 2021.633 Azimuth compression starting, time : 2021.776 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2443.715 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2463.275 seconds. Range compression done, time = 2570.085 Motion comp. coeff. calculated, time = 2570.288 Motion comp. added to patch, time = 2647.539 Doppler estimation done, time = 2647.539 Azimuth compression starting, time : 2647.668 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3071.872 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_l.hv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_vh Name of the mocomp data file? /data3/airops/cm5284_l.mocompv Output file name? /data3/airops/cm5284_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 = 2.302 Processing 5 blocks Processing block number 1 reference line: 4096 2.302 seconds. Range compression done, time = 113.909 Motion comp. coeff. calculated, time = 113.984 Motion comp. added to patch, time = 193.773 Doppler estimation done, time = 193.773 Azimuth compression starting, time : 193.911 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 573.904 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 595.268 seconds. Range compression done, time = 701.540 Motion comp. coeff. calculated, time = 701.615 Motion comp. added to patch, time = 779.275 Doppler estimation done, time = 779.276 Azimuth compression starting, time : 779.404 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1159.290 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1175.637 seconds. Range compression done, time = 1283.212 Motion comp. coeff. calculated, time = 1283.447 Motion comp. added to patch, time = 1383.587 Doppler estimation done, time = 1383.587 Azimuth compression starting, time : 1383.716 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1763.273 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1782.535 seconds. Range compression done, time = 1890.463 Motion comp. coeff. calculated, time = 1890.648 Motion comp. added to patch, time = 1968.240 Doppler estimation done, time = 1968.240 Azimuth compression starting, time : 1968.373 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2349.147 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2368.490 seconds. Range compression done, time = 2474.623 Motion comp. coeff. calculated, time = 2474.794 Motion comp. added to patch, time = 2552.155 Doppler estimation done, time = 2552.155 Azimuth compression starting, time : 2552.271 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2932.000 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_l.vh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_vv Name of the mocomp data file? /data3/airops/cm5284_l.mocompv Output file name? /data3/airops/cm5284_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 = 2.308 Processing 5 blocks Processing block number 1 reference line: 4096 2.308 seconds. Range compression done, time = 113.958 Motion comp. coeff. calculated, time = 114.034 Motion comp. added to patch, time = 193.887 Doppler estimation done, time = 193.887 Azimuth compression starting, time : 194.003 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 577.541 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 598.931 seconds. Range compression done, time = 705.354 Motion comp. coeff. calculated, time = 705.429 Motion comp. added to patch, time = 783.320 Doppler estimation done, time = 783.320 Azimuth compression starting, time : 783.450 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1193.676 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1210.080 seconds. Range compression done, time = 1317.647 Motion comp. coeff. calculated, time = 1317.872 Motion comp. added to patch, time = 1394.936 Doppler estimation done, time = 1394.936 Azimuth compression starting, time : 1395.062 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1812.682 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1832.446 seconds. Range compression done, time = 1939.846 Motion comp. coeff. calculated, time = 1940.042 Motion comp. added to patch, time = 2016.966 Doppler estimation done, time = 2016.966 Azimuth compression starting, time : 2017.098 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2436.960 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2456.812 seconds. Range compression done, time = 2563.679 Motion comp. coeff. calculated, time = 2563.852 Motion comp. added to patch, time = 2640.469 Doppler estimation done, time = 2640.470 Azimuth compression starting, time : 2640.585 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3062.861 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_l.vv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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: 1094 *************************************** ***** ***** ***** 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 94033 writing parheadL writing parhead 20.0 writing parhead 82.0 writing parhead 81.8 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.08808 13.89165 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 18901 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .006 .003 .001 .018 .320 .517 .135 .007 .004 .002 .023 .001 .054 .470 .564 .097 .000 .027 .001 .020 .004 .182 .587 .446 .057 .011 .097 .008 .000 .052 .447 .766 .407 .071 .001 .050 .026 .024 .146 .688 1.000 .469 .098 .009 .004 .012 .046 .168 .547 .868 .405 .080 .008 .005 .000 .014 .056 .220 .493 .285 .061 .000 .015 .004 .000 .013 .131 .395 .336 .075 .000 .011 .006 .003 .038 .263 .582 .459 .076 .000 .022 r_peak,r_snr = .1686684 7.8579 Correlation Surface of oversamples image at 146 3046 .008 .007 .090 .276 .480 .539 .407 .197 .042 .000 .041 .193 .427 .596 .566 .377 .166 .033 .009 .111 .346 .622 .745 .624 .377 .157 .033 .033 .198 .508 .814 .898 .701 .399 .158 .036 .059 .265 .613 .935 1.000 .761 .418 .161 .038 .067 .271 .605 .918 .984 .752 .410 .156 .037 .049 .210 .483 .756 .836 .658 .368 .140 .030 .025 .130 .326 .543 .636 .533 .317 .125 .023 .008 .069 .202 .365 .463 .428 .285 .119 .020 146 -.156 3046 -4.781 7.85790 .017749 .093104 .004655 Correlation Surface at 246 3046 .052 .151 .144 .310 .344 .294 .143 .001 .004 .035 .056 .148 .361 .410 .345 .034 .021 .035 .004 .050 .204 .433 .612 .317 .001 .068 .053 .029 .147 .308 .700 .975 .297 .000 .073 .042 .177 .237 .387 .989 1.000 .199 .000 .020 .023 .245 .129 .272 .732 .597 .143 .008 .000 .008 .165 .031 .073 .256 .363 .210 .038 .010 .004 .149 .015 .005 .115 .475 .381 .099 .009 .019 .116 .021 .013 .220 .720 .542 .186 .002 .088 r_peak,r_snr = .151306 9.00805 Correlation Surface of oversamples image at 246 3046 .082 .146 .241 .357 .478 .550 .473 .257 .081 .107 .180 .293 .452 .623 .682 .515 .235 .062 .146 .235 .385 .605 .805 .789 .513 .202 .050 .180 .295 .500 .781 .957 .818 .456 .159 .041 .194 .341 .600 .903 1.000 .746 .362 .118 .035 .187 .359 .640 .903 .903 .603 .271 .094 .036 .165 .335 .582 .762 .707 .452 .212 .091 .044 .138 .274 .446 .551 .508 .349 .199 .111 .061 .114 .198 .295 .362 .369 .310 .234 .158 .093 246 -.625 3046 -6.000 9.00805 .018120 .080850 .009140 Correlation Surface at 346 3046 .349 .284 .396 .594 .656 .442 .297 .242 .316 .368 .268 .344 .521 .672 .593 .413 .328 .356 .391 .305 .396 .585 .814 .753 .468 .353 .306 .446 .381 .527 .730 .984 .760 .393 .319 .248 .488 .426 .578 .791 1.000 .659 .334 .307 .225 .485 .391 .538 .752 .876 .577 .385 .341 .243 .431 .328 .489 .637 .667 .499 .455 .407 .338 .347 .291 .411 .448 .520 .451 .474 .500 .557 .286 .296 .323 .307 .485 .491 .487 .619 .783 r_peak,r_snr = .2488186 2.61947 Correlation Surface of oversamples image at 346 3046 .282 .431 .603 .767 .841 .748 .541 .365 .272 .268 .422 .591 .765 .876 .809 .596 .402 .296 .284 .436 .591 .772 .915 .862 .634 .421 .300 .324 .464 .604 .797 .964 .904 .647 .413 .281 .369 .486 .616 .824 1.000 .914 .628 .382 .246 .397 .482 .606 .828 .996 .879 .579 .337 .208 .395 .452 .578 .804 .948 .806 .515 .296 .183 .372 .416 .544 .759 .871 .718 .458 .274 .183 .347 .394 .518 .705 .783 .641 .424 .278 .213 346 .125 3046 -2.688 2.61947 .021467 .259249 .032913 Correlation Surface at 446 3046 .132 .122 .078 .445 .366 .066 .012 .018 .129 .190 .050 .204 .557 .542 .150 .057 .010 .126 .061 .006 .183 .349 .510 .220 .042 .001 .083 .002 .056 .067 .315 .714 .334 .000 .006 .086 .055 .013 .003 .375 1.000 .433 .049 .039 .167 .031 .010 .011 .190 .614 .270 .061 .078 .260 .000 .035 .064 .000 .064 .053 .040 .076 .142 .021 .028 .069 .040 .004 .007 .023 .013 .003 .018 .016 .011 .016 .004 .045 .006 .023 .058 r_peak,r_snr = 7.56420E-02 9.24319 Correlation Surface of oversamples image at 446 3046 .017 .072 .210 .470 .728 .701 .298 .006 .085 .004 .042 .199 .510 .801 .764 .330 .014 .050 .001 .023 .214 .590 .895 .815 .366 .037 .012 .019 .014 .250 .700 .991 .841 .400 .079 .000 .052 .009 .275 .762 1.000 .790 .401 .122 .015 .085 .003 .235 .669 .832 .624 .339 .141 .037 .117 .001 .125 .418 .514 .377 .227 .124 .052 .142 .019 .028 .165 .210 .159 .118 .093 .060 .156 .059 .000 .026 .041 .037 .048 .071 .068 446 .031 3046 -1.219 9.24319 .042585 .148708 -.004976 Correlation Surface at 646 3046 .021 .029 .022 .405 .900 .576 .145 .013 .032 .039 .030 .037 .472 .887 .511 .072 .000 .049 .014 .014 .044 .423 .781 .380 .024 .002 .028 .001 .008 .029 .442 .806 .349 .035 .000 .003 .000 .006 .036 .634 1.000 .446 .120 .011 .001 .001 .001 .076 .740 .991 .535 .215 .060 .030 .008 .002 .097 .536 .738 .498 .218 .151 .117 .009 .005 .091 .347 .591 .380 .172 .174 .100 .001 .008 .092 .321 .527 .264 .132 .099 .032 r_peak,r_snr = .168102 8.65662 Correlation Surface of oversamples image at 646 3046 .000 .031 .162 .422 .713 .809 .620 .316 .092 .000 .034 .190 .485 .780 .834 .606 .298 .090 .000 .048 .248 .591 .881 .884 .619 .312 .112 .001 .074 .328 .706 .971 .928 .650 .354 .156 .004 .106 .401 .778 1.000 .937 .684 .410 .214 .008 .131 .433 .769 .946 .900 .706 .463 .272 .011 .137 .410 .685 .835 .837 .714 .501 .310 .012 .124 .342 .557 .708 .773 .708 .510 .318 .010 .094 .252 .425 .596 .713 .671 .472 .289 646 -.344 3046 4.375 8.65662 .015175 .285789 .008614 Correlation Surface at 746 3046 .017 .004 .000 .126 .486 .255 .017 .027 .023 .002 .008 .005 .178 .505 .279 .035 .016 .007 .000 .014 .045 .301 .625 .405 .064 .003 .006 .008 .002 .076 .452 .843 .587 .124 .001 .022 .042 .004 .095 .663 1.000 .730 .230 .003 .051 .034 .002 .170 .841 .990 .733 .204 .002 .059 .003 .003 .231 .734 .837 .494 .032 .035 .033 .001 .006 .149 .386 .602 .219 .011 .052 .003 .010 .002 .031 .190 .455 .124 .022 .015 .001 r_peak,r_snr = .1763116 8.11657 Correlation Surface of oversamples image at 746 3046 .079 .126 .237 .394 .546 .649 .642 .513 .309 .068 .136 .284 .496 .690 .788 .735 .560 .338 .043 .129 .328 .612 .834 .887 .777 .586 .379 .023 .127 .385 .734 .945 .927 .788 .623 .444 .017 .145 .464 .843 1.000 .925 .797 .674 .507 .021 .185 .547 .901 .992 .906 .808 .698 .500 .036 .234 .595 .882 .940 .888 .809 .653 .394 .053 .254 .557 .773 .852 .862 .772 .532 .234 .052 .209 .415 .589 .731 .807 .684 .373 .099 746 -.531 3046 -2.281 8.11657 .039413 .421817 .060284 Correlation Surface at 846 3046 .079 .160 .398 .235 .178 .110 .088 .032 .024 .108 .216 .347 .222 .172 .127 .059 .005 .001 .100 .136 .253 .311 .335 .260 .081 .040 .014 .024 .047 .229 .525 .729 .529 .221 .194 .066 .000 .017 .246 .679 1.000 .662 .321 .307 .108 .000 .023 .223 .524 .763 .461 .209 .255 .142 .005 .043 .126 .246 .463 .258 .091 .194 .186 .011 .039 .040 .136 .404 .206 .082 .198 .214 .006 .027 .027 .181 .480 .298 .181 .215 .175 r_peak,r_snr = .1546733 8.65985 Correlation Surface of oversamples image at 846 3046 .226 .321 .400 .419 .390 .344 .275 .183 .118 .249 .402 .524 .564 .550 .502 .392 .259 .179 .287 .495 .664 .742 .749 .685 .522 .347 .252 .322 .571 .786 .905 .920 .825 .608 .395 .292 .351 .618 .860 .997 1.000 .863 .599 .366 .274 .367 .623 .852 .977 .961 .790 .502 .277 .213 .354 .561 .739 .834 .814 .642 .363 .172 .141 .313 .446 .557 .629 .630 .484 .238 .093 .086 .253 .321 .383 .452 .482 .363 .157 .052 .059 846 -.281 3046 10.156 8.65985 .035287 .059151 .003209 Correlation Surface at 946 3046 .016 .003 .034 .190 .388 .228 .016 .000 .020 .006 .003 .024 .198 .434 .244 .001 .001 .021 .001 .001 .060 .222 .457 .230 .007 .002 .039 .003 .034 .174 .303 .712 .270 .014 .001 .020 .004 .100 .252 .451 1.000 .261 .010 .007 .000 .008 .076 .170 .359 .711 .169 .007 .036 .004 .003 .023 .047 .100 .276 .084 .009 .068 .007 .006 .020 .005 .015 .127 .056 .012 .086 .002 .039 .037 .001 .019 .135 .042 .016 .083 .001 r_peak,r_snr = .130613 20.34943 Correlation Surface of oversamples image at 946 3046 .089 .123 .207 .370 .515 .478 .241 .036 .001 .121 .153 .261 .470 .638 .552 .241 .023 .007 .152 .201 .356 .624 .809 .656 .257 .019 .009 .178 .263 .475 .783 .962 .736 .272 .021 .006 .192 .321 .564 .860 1.000 .738 .267 .023 .004 .188 .335 .553 .791 .893 .649 .234 .023 .003 .160 .279 .432 .606 .691 .504 .185 .019 .003 .116 .182 .268 .394 .472 .350 .130 .012 .004 .073 .095 .141 .233 .298 .224 .084 .007 .006 946 -.031 3046 -.125 20.34943 .012300 .066542 .004210 Correlation Surface at 1046 3046 .051 .159 .030 .026 .185 .142 .000 .003 .086 .023 .189 .039 .029 .133 .182 .008 .004 .025 .042 .048 .006 .004 .164 .235 .034 .031 .001 .071 .001 .008 .039 .670 .247 .044 .012 .000 .056 .011 .030 .303 1.000 .084 .004 .020 .007 .008 .041 .010 .364 .405 .005 .021 .164 .024 .004 .008 .001 .064 .122 .011 .037 .164 .005 .003 .003 .017 .002 .141 .059 .002 .033 .002 .013 .001 .075 .014 .113 .112 .004 .002 .001 r_peak,r_snr = .1034981 14.27297 Correlation Surface of oversamples image at 1046 3046 .015 .000 .008 .026 .069 .120 .100 .047 .030 .005 .001 .019 .080 .205 .283 .190 .083 .054 .007 .002 .065 .264 .507 .500 .253 .096 .056 .022 .006 .182 .597 .858 .617 .232 .069 .031 .044 .018 .351 .903 1.000 .540 .148 .032 .006 .052 .038 .469 .961 .858 .366 .078 .011 .000 .042 .051 .449 .775 .614 .243 .052 .005 .008 .029 .041 .313 .527 .448 .216 .064 .006 .013 .027 .014 .164 .357 .406 .269 .106 .014 .010 1046 -.219 3046 .156 14.27297 .012889 .044919 .010812 Correlation Surface at 1146 3046 .002 .014 .052 .109 .232 .012 .053 .026 .016 .012 .018 .103 .154 .218 .024 .024 .014 .021 .000 .061 .141 .255 .453 .221 .052 .019 .001 .028 .058 .089 .484 .906 .610 .380 .158 .011 .052 .012 .087 .662 1.000 .656 .413 .163 .000 .012 .001 .108 .413 .674 .319 .122 .050 .002 .000 .007 .053 .142 .396 .070 .014 .022 .002 .003 .028 .003 .099 .250 .009 .024 .037 .001 .033 .031 .004 .199 .166 .007 .070 .030 .042 r_peak,r_snr = .1170618 10.09647 Correlation Surface of oversamples image at 1146 3046 .059 .149 .275 .341 .339 .316 .306 .307 .213 .041 .148 .328 .480 .552 .570 .579 .567 .376 .030 .164 .410 .649 .789 .832 .841 .788 .515 .035 .202 .497 .793 .963 .988 .954 .841 .537 .058 .251 .552 .853 1.000 .961 .851 .690 .419 .095 .286 .561 .832 .914 .787 .611 .439 .249 .124 .280 .519 .742 .737 .540 .350 .219 .116 .118 .234 .445 .603 .509 .300 .161 .092 .049 .078 .173 .359 .437 .293 .133 .065 .042 .026 1146 -10.313 3046 9.813 10.09648 .062632 .157825 .026067 Correlation Surface at 1246 3046 .080 .072 .205 .380 .590 .363 .269 .515 .609 .062 .119 .235 .373 .499 .333 .408 .703 .565 .110 .196 .234 .379 .521 .443 .482 .667 .410 .201 .223 .242 .449 .775 .595 .333 .413 .218 .222 .182 .239 .534 1.000 .521 .202 .231 .116 .132 .108 .188 .486 .797 .355 .208 .182 .124 .042 .053 .136 .367 .472 .278 .270 .222 .209 .015 .039 .137 .304 .359 .267 .318 .344 .300 .015 .051 .148 .301 .352 .277 .383 .452 .307 r_peak,r_snr = .2018223 6.41685 Correlation Surface of oversamples image at 1246 3046 .111 .127 .233 .393 .537 .616 .582 .509 .501 .120 .160 .274 .440 .622 .735 .669 .520 .454 .151 .214 .341 .537 .772 .882 .725 .489 .386 .192 .274 .417 .658 .923 .972 .710 .429 .328 .228 .317 .482 .759 1.000 .952 .632 .371 .299 .241 .332 .520 .799 .962 .829 .526 .331 .296 .224 .321 .519 .756 .820 .652 .421 .304 .298 .194 .296 .483 .651 .640 .489 .343 .289 .294 .164 .267 .424 .528 .490 .383 .302 .281 .283 1246 .219 3046 -.094 6.41685 .010578 .047620 .005864 Correlation Surface at 1346 3046 .079 .066 .143 .319 .283 .318 .438 .370 .257 .031 .052 .142 .217 .316 .560 .531 .415 .300 .007 .034 .126 .177 .623 .887 .517 .412 .403 .003 .040 .128 .291 .999 .778 .380 .368 .443 .010 .040 .112 .499 1.000 .473 .319 .359 .404 .038 .021 .116 .596 .694 .342 .380 .394 .379 .068 .024 .168 .492 .409 .347 .424 .475 .409 .077 .060 .188 .277 .269 .324 .358 .549 .420 .062 .088 .104 .148 .263 .246 .275 .530 .402 r_peak,r_snr = .1843314 4.82132 Correlation Surface of oversamples image at 1346 3046 .197 .220 .234 .274 .339 .381 .380 .353 .291 .144 .165 .232 .381 .544 .580 .494 .385 .282 .107 .142 .279 .554 .786 .755 .551 .366 .246 .090 .155 .375 .747 .966 .809 .510 .301 .195 .089 .199 .497 .891 1.000 .725 .406 .225 .151 .098 .261 .600 .924 .891 .571 .300 .172 .132 .116 .321 .643 .842 .710 .425 .234 .160 .147 .145 .365 .616 .690 .530 .326 .218 .194 .201 .179 .379 .533 .513 .376 .266 .237 .260 .279 1346 .375 3046 .000 4.82132 .019837 .146663 .038349 Correlation Surface at 1446 3046 .004 .001 .028 .106 .178 .277 .326 .335 .474 .027 .002 .039 .135 .217 .280 .326 .415 .400 .018 .004 .056 .163 .350 .410 .409 .412 .323 .000 .008 .058 .263 .717 .647 .431 .364 .285 .002 .000 .070 .460 1.000 .653 .349 .297 .239 .000 .000 .104 .474 .725 .442 .250 .240 .213 .004 .001 .089 .238 .364 .315 .219 .260 .276 .000 .009 .040 .096 .248 .289 .308 .397 .425 .002 .015 .022 .080 .208 .279 .451 .506 .533 r_peak,r_snr = .2042815 6.00714 Correlation Surface of oversamples image at 1446 3046 .050 .125 .211 .275 .344 .426 .482 .545 .656 .080 .184 .286 .373 .484 .584 .620 .644 .691 .115 .264 .404 .540 .696 .786 .762 .704 .665 .148 .348 .544 .733 .902 .934 .812 .666 .571 .172 .413 .656 .869 1.000 .947 .745 .557 .452 .187 .444 .697 .882 .950 .843 .626 .449 .363 .187 .425 .640 .763 .784 .688 .519 .382 .322 .165 .355 .507 .576 .592 .550 .451 .360 .322 .133 .266 .365 .414 .450 .461 .424 .377 .362 1446 .156 3046 .000 6.00714 .012004 .029206 .006397 Correlation Surface at 1546 3046 .073 .013 .006 .150 .732 .777 .214 .088 .009 .008 .005 .052 .257 .757 .458 .138 .062 .004 .003 .013 .059 .215 .545 .333 .146 .062 .003 .014 .004 .005 .112 .635 .511 .314 .181 .009 .172 .049 .008 .103 1.000 .703 .654 .397 .056 .249 .061 .024 .170 .892 .535 .744 .445 .105 .137 .103 .010 .205 .468 .358 .474 .377 .147 .066 .152 .000 .136 .296 .367 .306 .356 .143 .038 .066 .009 .058 .269 .409 .320 .299 .056 r_peak,r_snr = .1348721 8.33942 Correlation Surface of oversamples image at 1546 3046 .179 .462 1.225 2.778 4.000 3.317 1.665 .629 .233 .227 .534 1.433 3.015 3.746 2.640 1.198 .486 .233 .219 .542 1.486 2.851 3.087 1.896 .819 .381 .220 .166 .493 1.402 2.509 2.480 1.427 .654 .364 .225 .082 .381 1.245 2.246 2.205 1.337 .721 .455 .266 1546 .531 3046 -3.813 8.33942 .010859 .087358 .001981 Correlation Surface at 1646 3046 .517 .546 .626 .607 .577 .767 .779 .721 .773 .401 .476 .625 .616 .687 .863 .760 .733 .778 .275 .408 .634 .693 .859 .879 .713 .757 .772 .237 .414 .632 .775 .959 .866 .734 .750 .718 .250 .438 .608 .822 1.000 .889 .785 .698 .626 .250 .433 .617 .860 .981 .866 .726 .580 .541 .260 .446 .657 .853 .914 .741 .574 .513 .526 .291 .474 .644 .820 .866 .644 .520 .544 .579 r_peak,r_snr = .3266723 2.03471 Correlation Surface of oversamples image at 1646 3046 .695 .779 .816 .838 .880 .933 .930 .835 .721 .700 .800 .858 .893 .936 .973 .945 .840 .736 .694 .810 .888 .935 .975 .993 .948 .847 .762 .685 .817 .912 .966 .996 .994 .937 .847 .780 .681 .825 .931 .986 1.000 .975 .909 .831 .771 .683 .830 .937 .988 .983 .934 .859 .784 .720 .683 .822 .924 .970 .949 .876 .787 .708 .640 .671 .795 .898 .944 .909 .815 .713 .627 .566 .637 .751 .861 .913 .871 .764 .654 .570 .522 1646 -.750 3046 11.063 2.03471 .034822 .640141 .059095 Correlation Surface at 1746 3046 .226 .359 .543 .732 .836 .713 .516 .389 .340 .229 .350 .560 .738 .824 .727 .507 .383 .348 .224 .333 .551 .713 .849 .750 .473 .388 .345 .215 .331 .527 .705 .941 .742 .452 .418 .345 .226 .338 .502 .745 1.000 .698 .479 .436 .351 .237 .329 .493 .779 .941 .658 .510 .422 .358 .230 .317 .498 .754 .835 .628 .500 .422 .362 .228 .327 .509 .712 .773 .610 .489 .435 .350 .239 .352 .524 .697 .775 .628 .501 .420 .318 r_peak,r_snr = .5909497 3.51993 Correlation Surface of oversamples image at 1746 3046 .600 .697 .776 .848 .900 .882 .768 .602 .462 .579 .669 .755 .853 .931 .907 .764 .578 .446 .555 .640 .742 .873 .968 .926 .750 .557 .443 .530 .618 .742 .900 .996 .925 .728 .543 .451 .512 .607 .752 .923 1.000 .901 .701 .537 .466 .503 .609 .765 .926 .972 .856 .672 .537 .482 .500 .616 .769 .901 .916 .798 .643 .537 .492 .503 .623 .760 .856 .847 .742 .617 .534 .493 .511 .629 .742 .806 .785 .697 .598 .531 .493 1746 .000 3046 -.188 3.51993 .001947 .023350 .002070 Correlation Surface at 1846 3046 .209 .152 .159 .141 .204 .172 .231 .337 .477 .128 .090 .098 .132 .164 .184 .307 .448 .557 .098 .081 .069 .136 .248 .399 .362 .491 .485 .116 .072 .066 .230 .644 .671 .321 .373 .341 .122 .055 .125 .464 1.000 .600 .241 .206 .249 .115 .076 .235 .535 .697 .349 .158 .112 .206 .130 .158 .252 .299 .300 .187 .090 .103 .191 .151 .181 .151 .138 .156 .106 .104 .142 .193 .118 .079 .074 .106 .097 .095 .202 .187 .221 r_peak,r_snr = .2396883 6.08667 Correlation Surface of oversamples image at 1846 3046 .091 .126 .167 .206 .253 .312 .348 .324 .274 .101 .146 .203 .286 .413 .526 .511 .370 .247 .113 .173 .264 .427 .655 .773 .625 .360 .203 .134 .218 .357 .612 .895 .923 .629 .311 .163 .168 .276 .464 .764 1.000 .891 .537 .253 .132 .211 .330 .527 .789 .904 .711 .406 .202 .110 .246 .346 .499 .663 .671 .488 .289 .161 .089 .252 .306 .391 .464 .431 .312 .206 .124 .069 .218 .227 .260 .285 .260 .204 .149 .090 .052 1846 .156 3046 -.094 6.08667 .008423 .016000 .005008 Correlation Surface at 1946 3046 .204 .154 .002 .037 .050 .023 .002 .056 .241 .233 .123 .000 .000 .081 .029 .000 .075 .190 .143 .066 .034 .073 .123 .112 .003 .152 .202 .146 .059 .096 .200 .527 .191 .038 .190 .195 .222 .105 .113 .517 1.000 .076 .021 .087 .111 .148 .128 .164 .805 .535 .029 .044 .009 .063 .022 .119 .295 .574 .139 .175 .249 .009 .042 .000 .154 .384 .367 .224 .496 .118 .055 .000 .009 .158 .438 .510 .547 .322 .008 .069 .021 r_peak,r_snr = .1011282 9.95544 Correlation Surface of oversamples image at 1946 3046 .324 .678 1.223 1.825 1.739 1.004 .743 1.331 1.959 .298 .569 .974 1.424 1.457 1.160 1.324 2.126 2.202 .220 .469 .917 1.492 1.750 1.715 2.012 2.439 1.684 .276 .698 1.495 2.446 2.843 2.710 2.649 2.320 1.000 1946 -.688 3046 3.875 9.95544 .016531 .046714 .011678 Correlation Surface at 2046 3046 .128 .186 .343 .452 .427 .310 .212 .189 .200 .092 .171 .380 .514 .531 .390 .270 .250 .239 .103 .220 .438 .587 .679 .551 .383 .294 .198 .152 .276 .452 .650 .911 .757 .472 .283 .148 .175 .278 .420 .703 1.000 .781 .480 .269 .156 .150 .264 .397 .640 .749 .597 .449 .284 .199 .140 .273 .378 .466 .483 .490 .433 .288 .183 .149 .273 .341 .373 .443 .513 .437 .257 .120 .140 .236 .312 .430 .532 .542 .444 .243 .107 r_peak,r_snr = .3506644 4.74527 Correlation Surface of oversamples image at 2046 3046 .453 .512 .548 .593 .632 .609 .509 .400 .331 .491 .537 .586 .665 .733 .706 .588 .466 .393 .508 .547 .619 .743 .844 .815 .677 .539 .449 .502 .543 .646 .817 .947 .912 .758 .602 .489 .480 .534 .666 .865 1.000 .958 .801 .637 .510 .459 .526 .670 .862 .973 .928 .787 .634 .512 .444 .517 .649 .799 .871 .832 .723 .601 .499 .434 .499 .597 .693 .734 .709 .639 .554 .475 .424 .470 .530 .583 .607 .603 .566 .510 .451 2046 .125 3046 -.375 4.74527 .008938 .018412 .002207 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .020 .114 .286 .449 .468 .367 .249 .089 .018 .011 .113 .264 .407 .484 .412 .253 .068 .007 .010 .096 .237 .396 .510 .447 .234 .061 .003 .024 .103 .273 .487 .703 .545 .204 .049 .001 .049 .152 .376 .685 1.000 .619 .154 .032 .001 .061 .195 .458 .795 .995 .518 .115 .030 .007 .038 .165 .423 .661 .710 .389 .121 .052 .015 .013 .098 .316 .488 .568 .407 .183 .086 .014 .003 .058 .250 .452 .617 .540 .266 .094 .006 r_peak,r_snr = .3083973 9.88378 Correlation Surface of oversamples image at 146 3446 .319 .412 .517 .602 .629 .579 .459 .330 .233 .333 .434 .549 .664 .726 .687 .541 .371 .240 .372 .485 .618 .762 .848 .798 .609 .387 .222 .428 .555 .704 .867 .955 .876 .636 .370 .186 .475 .612 .769 .930 1.000 .884 .609 .328 .146 .496 .630 .780 .918 .956 .813 .536 .273 .114 .492 .614 .742 .846 .852 .702 .452 .227 .096 .474 .577 .678 .751 .735 .597 .386 .201 .094 .445 .530 .607 .663 .642 .525 .352 .197 .104 146 -.031 3446 -.500 9.88378 .007974 .032415 .005856 Correlation Surface at 246 3446 .265 .300 .357 .496 .650 .776 .646 .473 .371 .296 .313 .422 .602 .724 .764 .584 .419 .256 .330 .339 .446 .655 .817 .766 .530 .356 .227 .367 .372 .412 .690 .941 .856 .569 .361 .272 .412 .410 .414 .707 1.000 .934 .616 .364 .306 .462 .458 .461 .649 .927 .904 .600 .343 .296 .493 .501 .486 .554 .801 .811 .562 .359 .278 r_peak,r_snr = .297371 2.73132 Correlation Surface of oversamples image at 246 3446 .652 .700 .731 .782 .805 .723 .541 .348 .207 .569 .639 .726 .842 .904 .821 .599 .357 .195 .496 .592 .729 .890 .972 .880 .629 .355 .188 .453 .568 .735 .916 1.000 .896 .628 .348 .188 .446 .565 .739 .921 1.000 .884 .615 .350 .202 .464 .569 .728 .905 .981 .854 .600 .367 .235 .499 .574 .708 .878 .949 .820 .596 .404 .289 .536 .577 .685 .847 .909 .791 .606 .454 .356 .551 .562 .649 .794 .849 .755 .610 .495 .410 246 -.531 3446 12.281 2.73132 .025578 .173575 -.014859 Correlation Surface at 346 3446 .074 .155 .243 .275 .280 .300 .273 .066 .001 .043 .089 .150 .195 .334 .343 .230 .046 .000 .005 .038 .141 .295 .565 .491 .261 .061 .004 .004 .058 .248 .587 .888 .647 .296 .095 .020 .019 .122 .357 .749 1.000 .609 .277 .099 .021 .029 .153 .330 .623 .875 .472 .253 .084 .022 .011 .127 .226 .407 .680 .433 .267 .088 .056 .000 .096 .147 .276 .573 .519 .244 .086 .103 .001 .097 .135 .267 .608 .562 .152 .065 .101 r_peak,r_snr = .2111862 8.38862 Correlation Surface of oversamples image at 346 3446 .205 .266 .332 .446 .595 .679 .597 .395 .205 .238 .339 .459 .622 .778 .804 .634 .383 .194 .286 .421 .589 .783 .925 .883 .635 .356 .179 .335 .484 .674 .879 .994 .891 .591 .308 .155 .371 .511 .699 .904 1.000 .854 .528 .263 .135 .381 .497 .674 .881 .973 .801 .476 .239 .129 .344 .432 .596 .813 .914 .743 .444 .236 .134 .277 .341 .496 .726 .851 .707 .447 .259 .154 .209 .258 .405 .646 .799 .705 .490 .311 .185 346 .000 3446 -.250 8.38862 .020883 .137564 .017661 Correlation Surface at 446 3446 .008 .001 .008 .079 .326 .127 .000 .000 .006 .000 .006 .000 .171 .391 .112 .001 .000 .005 .002 .001 .017 .253 .562 .221 .000 .005 .033 .000 .007 .026 .331 .904 .319 .000 .040 .109 .001 .012 .012 .393 1.000 .229 .000 .066 .078 .006 .003 .003 .300 .638 .097 .000 .036 .003 .013 .000 .002 .102 .336 .058 .001 .017 .006 .006 .010 .021 .030 .313 .108 .021 .034 .000 .001 .016 .016 .066 .471 .242 .081 .125 .050 r_peak,r_snr = .1745876 16.45172 Correlation Surface of oversamples image at 446 3446 .017 .094 .241 .373 .388 .272 .094 .002 .020 .047 .126 .288 .478 .573 .453 .170 .006 .020 .062 .141 .343 .629 .805 .627 .216 .006 .022 .051 .139 .397 .781 .984 .696 .200 .002 .027 .030 .123 .418 .845 1.000 .619 .137 .001 .032 .011 .091 .371 .755 .827 .446 .069 .007 .034 .000 .047 .258 .543 .568 .273 .026 .015 .028 .006 .009 .129 .323 .351 .161 .010 .015 .015 .034 .002 .041 .174 .224 .110 .007 .008 .004 446 -.063 3446 -2.188 16.45172 .006303 .054306 .004206 Correlation Surface at 546 3446 .382 .283 .248 .464 .605 .436 .288 .132 .071 .355 .262 .224 .531 .731 .521 .283 .107 .062 .241 .188 .259 .714 .855 .643 .348 .112 .051 .173 .183 .361 .811 .966 .821 .486 .146 .066 .207 .287 .462 .807 1.000 .848 .490 .139 .090 .270 .385 .529 .776 .854 .580 .278 .086 .101 .257 .380 .554 .708 .587 .277 .145 .087 .154 .181 .324 .495 .570 .381 .174 .181 .189 .260 .127 .270 .364 .461 .339 .242 .309 .314 .276 r_peak,r_snr = .2198264 4.73376 Correlation Surface of oversamples image at 546 3446 .259 .437 .686 .853 .829 .695 .553 .407 .267 .336 .538 .789 .937 .897 .764 .627 .491 .357 .398 .594 .830 .973 .946 .834 .702 .569 .428 .432 .606 .831 .984 .984 .890 .745 .597 .433 .446 .604 .823 .985 1.000 .890 .710 .536 .355 .466 .618 .830 .979 .969 .808 .590 .403 .231 .501 .649 .839 .947 .872 .649 .418 .251 .119 .541 .674 .820 .862 .713 .457 .252 .132 .051 .567 .662 .742 .715 .526 .288 .138 .069 .027 546 .813 3446 9.000 4.73376 .069116 .224569 .055414 Correlation Surface at 646 3446 .355 .404 .421 .474 .454 .537 .433 .189 .015 .365 .388 .404 .468 .584 .614 .367 .181 .008 .426 .380 .363 .475 .797 .631 .329 .171 .004 .461 .355 .345 .553 .942 .637 .337 .146 .010 .357 .260 .402 .765 1.000 .631 .344 .172 .056 .197 .185 .562 .997 .961 .578 .364 .300 .148 .125 .253 .769 .996 .821 .554 .440 .446 .226 .154 .422 .752 .756 .650 .525 .483 .470 .248 .208 .428 .536 .541 .494 .469 .459 .422 .236 r_peak,r_snr = .2300986 4.6923 Correlation Surface of oversamples image at 646 3446 .217 .254 .358 .556 .750 .772 .597 .388 .277 .196 .261 .412 .647 .832 .832 .666 .473 .360 .180 .289 .501 .763 .916 .889 .736 .561 .444 .176 .341 .616 .881 .981 .921 .778 .622 .503 .191 .413 .728 .961 1.000 .913 .781 .645 .530 .238 .501 .805 .973 .963 .870 .759 .644 .530 .316 .583 .825 .919 .885 .812 .729 .626 .508 .404 .628 .780 .821 .795 .754 .695 .592 .469 .459 .609 .687 .710 .708 .700 .656 .548 .424 646 -.625 3446 1.906 4.69230 .097069 1.374036 .331946 Correlation Surface at 746 3446 .153 .075 .135 .467 .840 .545 .288 .137 .110 .117 .109 .200 .473 .830 .586 .300 .108 .068 .133 .188 .269 .522 .887 .638 .309 .117 .052 .148 .212 .273 .581 .967 .647 .297 .133 .044 .147 .217 .295 .658 1.000 .567 .236 .102 .029 .161 .269 .342 .715 .964 .508 .205 .066 .023 .173 .281 .332 .683 .902 .554 .224 .053 .028 .140 .209 .267 .582 .857 .622 .232 .060 .043 .095 .150 .241 .534 .812 .572 .210 .089 .072 r_peak,r_snr = .279632 6.32196 Correlation Surface of oversamples image at 746 3446 .261 .282 .389 .603 .808 .857 .744 .611 .521 .255 .296 .433 .672 .871 .873 .712 .564 .484 .253 .324 .502 .767 .940 .874 .671 .515 .440 .256 .361 .582 .861 .991 .866 .638 .481 .405 .253 .388 .640 .914 1.000 .845 .622 .475 .392 .237 .390 .649 .901 .960 .812 .626 .500 .402 .209 .359 .602 .828 .884 .779 .651 .543 .421 .177 .305 .511 .712 .786 .750 .682 .579 .429 .151 .253 .417 .591 .693 .727 .702 .588 .415 746 -.063 3446 2.844 6.32196 .017785 .934226 .099861 Correlation Surface at 846 3446 .038 .046 .061 .158 .556 .736 .591 .224 .088 .043 .067 .045 .207 .721 .676 .375 .171 .053 .033 .047 .036 .289 .826 .719 .264 .117 .014 .022 .021 .063 .290 .978 .827 .211 .059 .002 .002 .011 .096 .252 1.000 .624 .139 .034 .007 .006 .024 .089 .201 .631 .329 .137 .064 .063 .002 .056 .046 .122 .341 .281 .275 .176 .161 .025 .051 .003 .056 .230 .338 .428 .219 .160 .073 .006 .007 .015 .143 .267 .299 .116 .102 r_peak,r_snr = .1264613 11.14886 Correlation Surface of oversamples image at 846 3446 .082 .181 .281 .387 .467 .434 .313 .184 .112 .120 .263 .397 .528 .606 .522 .335 .176 .105 .167 .338 .506 .683 .764 .605 .338 .155 .089 .196 .364 .575 .831 .915 .655 .308 .118 .062 .176 .325 .594 .939 1.000 .626 .240 .074 .034 .117 .250 .568 .959 .951 .507 .154 .038 .017 .060 .178 .508 .862 .769 .347 .086 .021 .012 .026 .124 .414 .666 .529 .209 .053 .021 .018 .010 .084 .296 .441 .320 .126 .051 .041 .042 846 .281 3446 -.781 11.14886 .018047 .147119 .016111 Correlation Surface at 946 3446 .009 .024 .025 .136 .453 .248 .016 .002 .023 .036 .001 .011 .225 .533 .295 .054 .035 .060 .102 .031 .012 .280 .517 .338 .127 .093 .054 .119 .039 .032 .287 .717 .473 .187 .117 .020 .099 .014 .034 .321 1.000 .472 .168 .113 .014 .146 .019 .020 .321 .771 .260 .114 .100 .011 .222 .014 .036 .237 .331 .132 .065 .032 .000 .191 .003 .088 .148 .206 .105 .012 .002 .008 .099 .039 .110 .145 .290 .092 .000 .024 .004 r_peak,r_snr = .1596481 11.94829 Correlation Surface of oversamples image at 946 3446 .006 .061 .167 .297 .405 .442 .384 .305 .260 .015 .076 .184 .341 .502 .550 .459 .359 .319 .030 .092 .213 .433 .671 .708 .544 .399 .352 .043 .103 .252 .562 .871 .855 .597 .405 .350 .044 .102 .287 .675 1.000 .902 .582 .374 .320 .033 .093 .300 .702 .967 .808 .502 .321 .277 .023 .085 .280 .605 .762 .610 .388 .258 .225 .022 .080 .228 .426 .497 .406 .282 .199 .172 .034 .083 .169 .261 .298 .272 .217 .156 .121 946 .125 3446 .094 11.94830 .009949 .055478 .005055 Correlation Surface at 1046 3446 .323 .605 .542 .406 .193 .363 .468 .257 .132 .611 .898 .448 .126 .129 .412 .370 .131 .062 .379 .543 .067 .002 .138 .409 .165 .027 .063 .079 .125 .010 .006 .441 .469 .067 .032 .131 .015 .008 .009 .158 1.000 .527 .110 .138 .165 .017 .002 .008 .339 .967 .506 .258 .338 .182 .024 .012 .043 .305 .648 .512 .396 .515 .172 .051 .057 .116 .314 .568 .397 .308 .414 .074 .129 .132 .211 .318 .376 .096 .159 .193 .023 r_peak,r_snr = .1037658 8.39547 Correlation Surface of oversamples image at 1046 3446 .122 .037 .009 .136 .288 .323 .250 .158 .065 .121 .010 .061 .295 .458 .421 .288 .172 .076 .064 .003 .194 .540 .683 .559 .346 .185 .080 .010 .053 .395 .803 .895 .681 .375 .169 .068 .004 .156 .582 .967 1.000 .711 .341 .122 .048 .045 .274 .689 .992 .965 .639 .263 .076 .038 .116 .382 .725 .915 .835 .510 .182 .051 .043 .206 .481 .722 .791 .657 .361 .117 .045 .062 .317 .574 .690 .630 .449 .212 .068 .050 .094 1046 .250 3446 1.188 8.39547 .019571 .094457 .017100 Correlation Surface at 1146 3446 .008 .017 .018 .025 .026 .000 .118 .120 .045 .001 .000 .000 .004 .014 .039 .108 .094 .056 .000 .005 .009 .148 .352 .167 .037 .032 .045 .002 .020 .022 .371 .926 .285 .012 .025 .069 .012 .057 .040 .421 1.000 .243 .011 .036 .094 .022 .067 .054 .231 .576 .110 .008 .016 .057 .007 .020 .018 .089 .334 .061 .013 .004 .014 .000 .000 .001 .110 .297 .078 .071 .027 .008 .002 .007 .010 .183 .132 .041 .134 .054 .000 r_peak,r_snr = .1518796 21.66781 Correlation Surface of oversamples image at 1146 3446 .001 .000 .006 .048 .102 .111 .086 .059 .037 .000 .006 .067 .226 .346 .290 .152 .054 .017 .000 .023 .180 .490 .654 .488 .208 .048 .008 .000 .047 .306 .736 .905 .633 .241 .047 .008 .003 .074 .392 .854 1.000 .674 .245 .049 .013 .014 .098 .396 .797 .922 .614 .220 .046 .016 .034 .107 .325 .628 .745 .497 .171 .033 .012 .053 .093 .227 .457 .575 .381 .116 .015 .004 .056 .067 .155 .356 .473 .301 .075 .005 .000 1146 -.094 3446 -.469 21.66782 .008395 .058916 .001590 Correlation Surface at 1246 3446 .110 .235 .407 .728 .873 .592 .470 .394 .247 .146 .336 .531 .770 .897 .621 .438 .373 .246 .234 .401 .470 .661 .877 .570 .398 .323 .238 .286 .331 .348 .630 .929 .546 .423 .306 .220 .250 .235 .335 .729 1.000 .606 .515 .294 .216 .192 .230 .428 .762 .951 .621 .493 .242 .258 .161 .332 .529 .627 .743 .511 .308 .206 .295 .154 .416 .507 .450 .524 .378 .173 .233 .278 .141 .346 .424 .352 .443 .324 .161 .270 .200 r_peak,r_snr = .2254313 5.28341 Correlation Surface of oversamples image at 1246 3446 .369 .461 .572 .652 .687 .642 .513 .407 .391 .326 .411 .530 .655 .726 .661 .498 .390 .374 .287 .386 .540 .725 .818 .709 .509 .396 .370 .268 .397 .602 .843 .931 .764 .538 .421 .378 .271 .436 .686 .947 1.000 .797 .570 .453 .389 .297 .489 .751 .987 .999 .801 .599 .482 .392 .347 .534 .761 .941 .939 .789 .622 .501 .383 .399 .540 .690 .809 .830 .752 .623 .496 .351 .424 .488 .554 .632 .694 .686 .593 .459 .296 1246 -.219 3446 1.844 5.28341 .015432 .416006 .010017 Correlation Surface at 1346 3446 .291 .395 .321 .352 .444 .400 .418 .407 .303 .284 .343 .282 .337 .461 .471 .392 .297 .254 .262 .282 .276 .342 .563 .537 .281 .206 .240 .247 .289 .322 .431 .804 .568 .211 .197 .273 .264 .374 .417 .615 1.000 .527 .207 .257 .321 .309 .472 .533 .769 .920 .446 .251 .330 .310 .333 .490 .565 .735 .707 .429 .313 .369 .256 .307 .419 .475 .562 .561 .465 .364 .374 .227 .285 .331 .379 .430 .513 .508 .392 .362 .230 r_peak,r_snr = .3066126 3.74217 Correlation Surface of oversamples image at 1346 3446 .223 .231 .298 .413 .528 .589 .544 .419 .311 .224 .240 .323 .473 .635 .698 .590 .402 .271 .240 .263 .369 .570 .776 .811 .623 .384 .242 .266 .300 .438 .693 .915 .886 .624 .359 .221 .297 .348 .522 .810 1.000 .888 .583 .328 .208 .333 .405 .604 .882 .997 .817 .517 .297 .204 .372 .465 .667 .888 .913 .708 .451 .277 .210 .411 .514 .689 .827 .785 .598 .401 .271 .227 .443 .539 .660 .719 .650 .509 .373 .280 .255 1346 .031 3446 .188 3.74217 .006413 .044800 .008499 Correlation Surface at 1446 3446 .034 .004 .051 .251 .468 .501 .367 .336 .280 .014 .021 .111 .265 .338 .458 .433 .319 .261 .025 .068 .152 .191 .335 .546 .435 .287 .230 .049 .082 .129 .186 .630 .751 .464 .315 .210 .046 .067 .118 .299 1.000 .845 .532 .408 .200 .027 .073 .155 .401 .916 .731 .552 .452 .197 .015 .089 .201 .377 .584 .573 .476 .410 .202 .009 .088 .214 .311 .418 .480 .402 .374 .191 .020 .087 .196 .274 .395 .433 .395 .418 .237 r_peak,r_snr = .2536167 7.23423 Correlation Surface of oversamples image at 1446 3446 .109 .122 .159 .258 .388 .453 .447 .419 .367 .090 .105 .180 .366 .550 .566 .491 .425 .357 .080 .112 .254 .555 .763 .694 .551 .463 .385 .085 .147 .375 .770 .941 .782 .608 .520 .440 .105 .204 .505 .918 1.000 .798 .645 .580 .504 .136 .267 .587 .928 .925 .749 .656 .620 .546 .167 .307 .586 .808 .771 .668 .640 .619 .549 .190 .316 .514 .636 .617 .592 .604 .582 .520 .204 .300 .421 .492 .514 .546 .565 .530 .479 1446 .313 3446 .063 7.23423 .006801 .023832 .003196 Correlation Surface at 1546 3446 .052 .119 .149 .291 .394 .180 .141 .097 .040 .055 .094 .134 .314 .377 .226 .170 .123 .076 .036 .071 .140 .302 .534 .440 .200 .144 .103 .037 .089 .153 .324 .880 .662 .231 .160 .091 .067 .104 .125 .375 1.000 .609 .255 .169 .080 .083 .072 .097 .389 .691 .383 .241 .154 .102 .058 .042 .111 .344 .381 .249 .205 .128 .117 .036 .045 .127 .277 .307 .219 .144 .093 .086 .031 .061 .113 .238 .354 .188 .067 .047 .037 r_peak,r_snr = .2752002 12.70052 Correlation Surface of oversamples image at 1546 3446 .147 .222 .313 .371 .350 .270 .195 .156 .163 .137 .226 .362 .491 .507 .395 .257 .180 .179 .134 .243 .448 .672 .718 .545 .323 .206 .198 .135 .270 .558 .867 .915 .662 .370 .230 .220 .137 .303 .651 .992 1.000 .690 .381 .246 .241 .141 .331 .684 .976 .925 .618 .354 .250 .256 .148 .341 .636 .824 .731 .486 .304 .243 .263 .156 .325 .524 .606 .511 .355 .251 .230 .258 .163 .291 .396 .414 .349 .264 .212 .215 .239 1546 .250 3446 -.375 12.70053 .004785 .022664 .002956 Correlation Surface at 1646 3446 .036 .077 .000 .063 .113 .120 .141 .056 .001 .025 .038 .003 .041 .052 .095 .209 .087 .018 .070 .059 .003 .006 .049 .395 .282 .078 .040 .111 .030 .002 .010 .383 .817 .152 .037 .014 .026 .004 .016 .101 1.000 .737 .064 .010 .013 .005 .028 .019 .218 .962 .454 .057 .005 .113 .010 .007 .012 .173 .553 .261 .022 .058 .095 .000 .005 .015 .095 .298 .096 .000 .050 .000 .057 .036 .019 .069 .182 .051 .004 .000 .043 r_peak,r_snr = .1344345 15.9412 Correlation Surface of oversamples image at 1646 3446 .007 .015 .017 .050 .185 .399 .451 .322 .211 .007 .013 .041 .172 .443 .609 .462 .241 .147 .010 .025 .130 .441 .765 .708 .374 .148 .093 .011 .056 .296 .770 .981 .664 .258 .086 .064 .012 .101 .473 .978 1.000 .548 .178 .062 .057 .011 .140 .563 .986 .887 .444 .149 .065 .061 .008 .145 .528 .856 .741 .377 .149 .077 .057 .005 .122 .433 .702 .621 .338 .151 .075 .036 .003 .098 .354 .592 .531 .295 .130 .049 .009 1646 .250 3446 .063 15.94121 .013868 .045865 .011314 Correlation Surface at 1746 3446 .189 .298 .382 .571 .704 .645 .495 .426 .366 .163 .278 .397 .580 .733 .647 .541 .489 .421 .177 .287 .421 .630 .753 .664 .548 .507 .421 .196 .302 .447 .731 .850 .725 .528 .489 .387 .190 .314 .497 .818 1.000 .769 .516 .449 .352 .177 .319 .513 .772 .969 .684 .469 .384 .334 .177 .303 .444 .606 .727 .540 .420 .340 .340 .163 .255 .355 .453 .530 .502 .438 .357 .341 .119 .209 .303 .387 .510 .579 .491 .388 .303 r_peak,r_snr = .4019751 4.3151 Correlation Surface of oversamples image at 1746 3446 .375 .478 .632 .774 .843 .831 .756 .665 .594 .388 .517 .684 .822 .891 .876 .777 .658 .578 .412 .563 .735 .874 .952 .926 .790 .647 .564 .444 .600 .766 .910 .999 .953 .785 .630 .549 .473 .615 .762 .908 1.000 .936 .752 .602 .528 .486 .597 .717 .856 .942 .869 .693 .562 .497 .472 .549 .644 .768 .841 .771 .623 .519 .463 .434 .484 .562 .670 .729 .672 .561 .487 .439 .382 .418 .487 .580 .631 .594 .522 .473 .429 1746 .094 3446 -.750 4.31510 .009180 .039030 .002855 Correlation Surface at 1846 3446 .017 .107 .247 .502 .615 .423 .304 .186 .173 .031 .101 .237 .507 .631 .532 .269 .199 .240 .043 .080 .226 .452 .706 .638 .254 .226 .261 .033 .064 .205 .447 .916 .678 .264 .238 .226 .016 .065 .194 .525 1.000 .573 .243 .218 .199 .014 .084 .215 .544 .780 .432 .215 .205 .219 .020 .096 .223 .456 .530 .361 .209 .220 .253 .018 .082 .195 .363 .434 .350 .221 .248 .269 .007 .063 .175 .333 .433 .354 .250 .272 .265 r_peak,r_snr = .3297263 6.48124 Correlation Surface of oversamples image at 1846 3446 .205 .262 .353 .496 .645 .685 .524 .275 .113 .206 .269 .381 .568 .756 .778 .558 .281 .118 .209 .285 .433 .670 .878 .854 .578 .288 .127 .218 .316 .506 .778 .973 .890 .583 .295 .137 .228 .353 .575 .851 1.000 .872 .566 .295 .144 .238 .383 .612 .855 .946 .802 .529 .287 .146 .241 .388 .594 .781 .827 .700 .481 .274 .143 .233 .362 .526 .661 .688 .600 .436 .258 .138 .211 .313 .439 .541 .571 .522 .399 .242 .133 1846 .063 3446 -.125 6.48124 .004323 .028332 .003939 Correlation Surface at 1946 3446 .030 .041 .092 .186 .212 .180 .197 .308 .325 .031 .033 .092 .221 .259 .229 .223 .291 .283 .046 .028 .091 .263 .429 .432 .300 .249 .214 .040 .040 .136 .408 .833 .720 .348 .201 .195 .033 .083 .232 .562 1.000 .631 .253 .161 .200 .050 .139 .260 .477 .565 .299 .142 .142 .180 .089 .159 .169 .220 .184 .163 .135 .159 .183 .122 .124 .070 .088 .123 .209 .184 .186 .248 .136 .075 .039 .097 .237 .310 .203 .198 .323 r_peak,r_snr = .2870288 6.266 Correlation Surface of oversamples image at 1946 3446 .060 .110 .198 .297 .327 .307 .288 .270 .249 .064 .127 .242 .375 .446 .454 .421 .359 .292 .079 .163 .314 .495 .631 .667 .588 .454 .324 .113 .223 .413 .650 .847 .880 .725 .509 .327 .164 .295 .512 .788 1.000 .980 .749 .488 .296 .218 .351 .569 .834 .989 .893 .638 .396 .237 .250 .365 .549 .745 .801 .663 .450 .278 .173 .239 .318 .445 .549 .527 .405 .272 .178 .124 .187 .229 .299 .332 .289 .217 .156 .117 .097 1946 .188 3446 -.344 6.26600 .007100 .011525 .003234 Correlation Surface at 2046 3446 .117 .171 .291 .450 .463 .479 .436 .316 .214 .129 .163 .280 .384 .427 .510 .417 .252 .191 .132 .182 .288 .334 .494 .595 .421 .233 .224 .136 .218 .290 .359 .736 .756 .436 .276 .245 .145 .223 .264 .465 1.000 .780 .405 .309 .250 .156 .197 .242 .548 .931 .602 .366 .318 .279 .178 .198 .255 .504 .640 .470 .386 .352 .299 .213 .242 .269 .400 .453 .439 .412 .355 .262 .255 .279 .270 .344 .380 .420 .369 .291 .208 r_peak,r_snr = .4058673 4.35287 Correlation Surface of oversamples image at 2046 3446 .423 .381 .353 .383 .452 .478 .436 .362 .276 .392 .360 .375 .464 .571 .590 .517 .411 .302 .363 .356 .433 .597 .736 .720 .587 .440 .316 .337 .372 .524 .764 .907 .817 .612 .437 .314 .319 .403 .629 .910 1.000 .821 .574 .404 .300 .310 .440 .706 .961 .963 .734 .505 .370 .293 .309 .466 .719 .892 .822 .610 .443 .352 .299 .311 .465 .660 .744 .653 .504 .408 .358 .323 .306 .431 .557 .584 .512 .437 .403 .384 .357 2046 .344 3446 .219 4.35287 .003396 .013511 .002296 At line = 3800 Reading in data.... Correlation Surface at 246 3846 .070 .118 .108 .077 .109 .162 .207 .463 .398 .123 .106 .096 .215 .248 .185 .442 .598 .418 .040 .009 .041 .367 .413 .347 .649 .488 .260 .006 .000 .047 .552 .806 .700 .678 .406 .189 .039 .032 .112 .715 1.000 .701 .500 .342 .153 r_peak,r_snr = .1438752 7.19039 Correlation Surface of oversamples image at 246 3846 1.788 2.113 1.688 1.699 1.794 2.451 2.510 3.300 2.492 3.498 4.200 6.061 4.148 5.538 7.009 9.977 246 3.844 3846 17.844 7.19039 .062601 .045081 .024407 Correlation Surface at 346 3846 .478 .502 .379 .374 .429 .271 .158 .141 .079 .463 .545 .403 .456 .563 .390 .223 .163 .068 .443 .533 .442 .593 .754 .660 .422 .224 .064 .414 .350 .326 .594 .931 .964 .553 .210 .053 .418 .206 .231 .588 1.000 .944 .476 .135 .051 .423 .176 .246 .599 .899 .781 .376 .094 .045 .397 .226 .293 .537 .782 .752 .366 .095 .038 .356 .282 .329 .492 .732 .737 .376 .120 .045 .328 .270 .387 .558 .631 .597 .363 .159 .060 r_peak,r_snr = .2004137 4.22278 Correlation Surface of oversamples image at 346 3846 .439 .558 .637 .597 .480 .361 .293 .270 .238 .464 .629 .740 .726 .625 .504 .423 .381 .314 .449 .656 .809 .845 .786 .677 .580 .497 .377 .414 .651 .844 .935 .925 .835 .713 .574 .396 .388 .636 .847 .972 1.000 .923 .774 .582 .366 .380 .620 .822 .951 .994 .924 .757 .533 .309 .385 .604 .782 .897 .938 .872 .697 .465 .255 .389 .581 .737 .839 .877 .812 .631 .402 .216 .381 .549 .696 .802 .846 .774 .582 .357 .191 346 1.438 3846 -1.250 4.22278 .040298 .298061 .037452 Correlation Surface at 446 3846 .002 .030 .000 .276 .629 .325 .088 .012 .001 .002 .041 .000 .287 .662 .328 .047 .000 .001 .011 .040 .001 .373 .758 .349 .018 .008 .008 .007 .023 .009 .478 .907 .425 .013 .013 .021 .000 .005 .030 .551 1.000 .489 .023 .006 .016 .006 .001 .085 .617 .974 .480 .034 .001 .001 .013 .010 .145 .636 .931 .474 .033 .000 .002 .011 .009 .135 .594 .952 .480 .024 .000 .006 .003 .003 .104 .558 .952 .441 .017 .000 .000 r_peak,r_snr = .2109554 11.33369 Correlation Surface of oversamples image at 446 3846 .049 .203 .480 .712 .751 .624 .389 .135 .008 .058 .233 .543 .802 .859 .731 .466 .169 .012 .078 .284 .625 .896 .952 .808 .518 .194 .017 .110 .349 .702 .959 .998 .839 .536 .204 .020 .148 .408 .750 .977 1.000 .835 .528 .195 .017 .178 .442 .761 .961 .980 .821 .513 .179 .012 .183 .434 .727 .916 .951 .808 .497 .162 .007 .158 .380 .645 .840 .911 .787 .472 .143 .004 .133 .332 .580 .797 .906 .790 .464 .136 .004 446 -.188 3846 .688 11.33370 .009108 .504124 .013341 Correlation Surface at 546 3846 .138 .027 .062 .356 .474 .434 .206 .015 .000 .120 .053 .201 .489 .502 .445 .200 .028 .005 .108 .116 .357 .652 .686 .545 .253 .054 .012 .090 .129 .378 .759 .923 .687 .333 .066 .016 .108 .152 .360 .688 1.000 .734 .297 .075 .043 .152 .186 .291 .590 .899 .551 .237 .103 .104 .150 .132 .189 .549 .777 .412 .251 .134 .132 .080 .076 .127 .470 .763 .463 .293 .111 .098 .040 .083 .104 .358 .732 .540 .245 .070 .060 r_peak,r_snr = .166752 6.19032 Correlation Surface of oversamples image at 546 3846 .491 .614 .643 .649 .689 .680 .588 .428 .252 .529 .662 .710 .754 .818 .801 .691 .516 .322 .535 .673 .757 .851 .931 .890 .744 .546 .337 .488 .632 .770 .917 .995 .905 .705 .485 .283 .405 .566 .768 .953 1.000 .843 .594 .370 .202 .325 .517 .769 .956 .946 .728 .461 .264 .139 .280 .507 .775 .920 .842 .591 .344 .193 .107 .287 .550 .804 .886 .752 .493 .284 .173 .107 .334 .617 .843 .878 .713 .466 .293 .204 .138 546 .375 3846 .969 6.19032 .038763 .395724 -.006696 Correlation Surface at 646 3846 .298 .356 .389 .489 .516 .348 .263 .281 .256 .385 .408 .495 .647 .647 .408 .273 .279 .259 .409 .480 .662 .849 .805 .482 .312 .268 .294 .382 .477 .686 .942 .919 .569 .366 .305 .383 .358 .393 .597 .958 1.000 .650 .405 .367 .441 .341 .366 .600 .957 .973 .637 .403 .375 .433 .325 .402 .636 .854 .798 .536 .359 .363 .440 .282 .394 .578 .656 .614 .428 .315 .381 .434 .218 .347 .498 .520 .511 .359 .321 .390 .348 r_peak,r_snr = .3357141 3.4507 Correlation Surface of oversamples image at 646 3846 .582 .685 .779 .829 .812 .717 .560 .417 .340 .568 .686 .797 .865 .869 .788 .619 .456 .366 .538 .678 .812 .902 .927 .852 .666 .485 .388 .525 .687 .836 .938 .976 .900 .697 .504 .404 .548 .723 .867 .964 1.000 .917 .707 .514 .414 .599 .769 .885 .957 .974 .883 .684 .506 .412 .646 .789 .867 .902 .893 .800 .625 .474 .394 .653 .758 .798 .802 .777 .690 .545 .425 .367 .606 .675 .690 .681 .654 .580 .464 .371 .337 646 -.031 3846 .531 3.45070 .015285 .179033 -.009372 Correlation Surface at 746 3846 .314 .240 .383 .721 .625 .331 .206 .055 .053 .295 .225 .352 .580 .512 .319 .218 .028 .036 .230 .210 .312 .559 .597 .430 .218 .025 .036 .232 .270 .379 .743 .861 .528 .181 .039 .040 .279 .333 .457 .875 1.000 .529 .174 .075 .038 r_peak,r_snr = .2275367 5.11395 Correlation Surface of oversamples image at 746 3846 .366 .513 .604 .618 .626 .647 .626 .504 .308 .310 .453 .586 .660 .705 .710 .639 .481 .290 .289 .445 .629 .759 .820 .779 .642 .457 .287 .302 .479 .712 .882 .934 .827 .625 .429 .289 .329 .524 .787 .975 1.000 .831 .584 .391 .285 .343 .544 .811 .997 .997 .791 .528 .352 .281 .334 .528 .786 .966 .953 .733 .475 .323 .281 .307 .492 .745 .929 .908 .680 .434 .303 .282 .289 .471 .733 .924 .885 .641 .399 .282 .274 746 .781 3846 13.813 5.11395 .017673 .137333 .007903 Correlation Surface at 846 3846 .026 .013 .016 .100 .251 .163 .047 .000 .012 .014 .022 .019 .088 .147 .062 .016 .019 .032 .011 .016 .000 .183 .240 .067 .007 .010 .012 .023 .001 .056 .388 .586 .211 .025 .007 .001 .029 .061 .181 .574 1.000 .260 .022 .009 .005 .021 .090 .251 .685 .798 .060 .000 .005 .051 .027 .007 .195 .510 .275 .000 .011 .059 .127 .057 .042 .040 .173 .104 .010 .018 .145 .178 .065 .147 .012 .057 .134 .054 .036 .208 .205 r_peak,r_snr = .1127116 11.1557 Correlation Surface of oversamples image at 846 3846 .017 .000 .124 .429 .537 .334 .105 .014 .000 .004 .015 .228 .595 .686 .423 .126 .008 .005 .002 .073 .393 .791 .849 .556 .194 .019 .002 .028 .170 .552 .919 .962 .712 .311 .055 .001 .079 .268 .633 .923 1.000 .846 .424 .090 .004 .141 .341 .641 .858 .989 .895 .444 .076 .000 .194 .393 .636 .810 .945 .821 .339 .025 .008 .218 .432 .650 .781 .838 .623 .169 .000 .052 .211 .459 .671 .734 .675 .389 .046 .033 .107 846 -.625 3846 -1.719 11.15570 .022370 .084367 .016593 Correlation Surface at 946 3846 .007 .000 .018 .120 .283 .210 .029 .003 .018 .035 .008 .025 .166 .364 .330 .064 .028 .021 .089 .019 .035 .189 .532 .486 .085 .041 .013 .113 .018 .028 .239 .872 .548 .096 .043 .014 .071 .008 .020 .347 1.000 .389 .091 .033 .011 .022 .001 .032 .407 .635 .210 .064 .010 .000 .004 .000 .051 .320 .352 .161 .045 .002 .007 .004 .004 .037 .207 .326 .167 .040 .004 .003 .014 .022 .010 .139 .312 .141 .045 .023 .000 r_peak,r_snr = .2057623 21.03213 Correlation Surface of oversamples image at 946 3846 .112 .255 .337 .420 .541 .623 .591 .466 .340 .110 .238 .333 .472 .651 .741 .678 .519 .381 .094 .205 .333 .549 .785 .860 .744 .545 .397 .074 .180 .359 .655 .921 .942 .765 .543 .397 .064 .182 .420 .770 1.000 .933 .719 .509 .377 .069 .218 .507 .842 .962 .818 .614 .440 .330 .092 .288 .593 .829 .811 .641 .486 .357 .265 .132 .369 .635 .724 .610 .468 .370 .278 .197 .173 .420 .599 .568 .434 .340 .288 .216 .142 946 .125 3846 -.500 21.03214 .006343 .036020 .006175 Correlation Surface at 1046 3846 .012 .050 .056 .028 .123 .057 .141 .367 .173 .066 .040 .016 .005 .040 .090 .314 .340 .148 .151 .060 .039 .024 .146 .346 .309 .155 .121 .168 .115 .130 .185 .578 .651 .205 .056 .096 .102 .129 .250 .497 1.000 .745 .204 .064 .076 .020 .096 .326 .575 .843 .510 .191 .143 .068 .001 .146 .350 .345 .370 .140 .093 .167 .072 .010 .283 .282 .146 .094 .019 .025 .102 .082 .064 .287 .153 .059 .016 .008 .012 .080 .080 r_peak,r_snr = .1218539 8.93639 Correlation Surface of oversamples image at 1046 3846 .012 .046 .100 .173 .278 .360 .300 .159 .083 .061 .134 .230 .344 .501 .591 .422 .170 .060 .117 .236 .384 .543 .744 .805 .512 .180 .058 .160 .322 .513 .709 .927 .920 .527 .178 .066 .192 .381 .597 .810 1.000 .896 .455 .153 .074 .228 .421 .635 .831 .942 .730 .313 .105 .073 .282 .451 .626 .763 .761 .483 .164 .057 .063 .348 .462 .567 .616 .513 .247 .060 .026 .053 .400 .437 .457 .424 .275 .088 .013 .011 .043 1046 -.844 3846 6.406 8.93639 .053338 .088444 .033684 Correlation Surface at 1246 3846 .214 .295 .398 .593 .635 .581 .567 .454 .362 .233 .331 .437 .517 .634 .730 .649 .477 .338 .209 .330 .440 .469 .783 .918 .702 .460 .296 .175 .354 .504 .589 .995 .987 .677 .455 .290 .158 .410 .601 .727 1.000 .854 .597 .501 .326 .164 .418 .548 .626 .769 .643 .588 .562 .366 .183 .355 .409 .449 .576 .536 .639 .566 .351 .219 .333 .369 .415 .542 .594 .687 .500 .294 .249 .378 .420 .476 .622 .705 .675 .405 .243 r_peak,r_snr = .3174414 3.97605 Correlation Surface of oversamples image at 1246 3846 .550 .577 .618 .680 .742 .764 .740 .683 .603 .509 .536 .610 .731 .836 .863 .819 .738 .626 .482 .528 .642 .807 .929 .945 .881 .782 .642 .492 .567 .712 .887 .990 .983 .902 .789 .635 .542 .642 .792 .938 1.000 .966 .871 .753 .607 .603 .705 .828 .925 .951 .900 .798 .685 .572 .635 .714 .795 .858 .870 .812 .709 .616 .551 .615 .663 .719 .774 .790 .734 .640 .579 .564 .551 .582 .635 .703 .729 .679 .608 .587 .609 1246 .563 3846 -1.000 3.97605 .022012 .056578 .019111 Correlation Surface at 1346 3846 .218 .234 .165 .190 .232 .268 .301 .349 .338 .255 .201 .102 .122 .213 .288 .316 .343 .298 .265 .175 .088 .124 .342 .446 .355 .299 .251 .257 .175 .101 .222 .725 .674 .378 .258 .235 .247 .182 .147 .428 1.000 .699 .385 .280 .304 .218 .172 .209 .485 .716 .536 .431 .395 .450 .188 .156 .234 .326 .384 .454 .526 .513 .526 .186 .157 .210 .232 .329 .501 .583 .515 .424 .219 .176 .199 .239 .403 .521 .508 .403 .305 r_peak,r_snr = .2805744 3.73969 Correlation Surface of oversamples image at 1346 3846 .168 .149 .151 .199 .300 .422 .488 .474 .439 .177 .158 .184 .287 .458 .605 .614 .520 .435 .190 .184 .252 .437 .681 .806 .716 .546 .422 .208 .229 .357 .625 .896 .941 .758 .550 .414 .230 .289 .473 .779 1.000 .950 .735 .544 .423 .255 .348 .555 .823 .945 .848 .674 .541 .456 .276 .386 .566 .741 .779 .700 .611 .552 .508 .290 .390 .513 .597 .598 .576 .577 .585 .574 .295 .368 .437 .466 .470 .510 .585 .640 .645 1346 .156 3846 .000 3.73969 .006127 .014027 .002993 Correlation Surface at 1446 3846 .001 .000 .005 .112 .269 .280 .373 .303 .216 .004 .000 .023 .145 .268 .299 .291 .259 .194 .010 .003 .019 .092 .286 .355 .203 .218 .176 .007 .006 .006 .078 .567 .586 .239 .239 .179 .011 .003 .009 .164 1.000 .791 .329 .281 .180 .021 .005 .029 .262 .954 .681 .324 .289 .154 .011 .012 .032 .228 .596 .479 .265 .268 .127 .003 .006 .012 .162 .425 .375 .250 .231 .105 .005 .000 .005 .156 .382 .310 .249 .177 .109 r_peak,r_snr = .2315948 10.2165 Correlation Surface of oversamples image at 1446 3846 .015 .076 .217 .398 .505 .471 .369 .294 .299 .012 .085 .286 .555 .682 .580 .407 .307 .312 .015 .114 .392 .746 .869 .689 .454 .335 .341 .026 .160 .505 .904 .994 .749 .482 .363 .368 .043 .207 .577 .957 1.000 .733 .479 .376 .384 .061 .231 .569 .880 .893 .659 .451 .372 .387 .071 .225 .496 .730 .746 .576 .416 .356 .381 .071 .202 .409 .593 .631 .517 .387 .338 .371 .065 .178 .349 .513 .567 .480 .361 .320 .357 1446 .313 3846 .313 10.21651 .005142 .024875 .001952 Correlation Surface at 1546 3846 .092 .084 .161 .270 .210 .146 .042 .006 .040 .151 .194 .273 .266 .233 .196 .094 .017 .016 .161 .212 .196 .222 .361 .411 .155 .014 .011 .090 .100 .095 .292 .719 .623 .133 .004 .004 .024 .029 .074 .439 1.000 .511 .068 .002 .000 .010 .021 .082 .423 .737 .306 .049 .009 .005 .035 .041 .068 .265 .383 .216 .045 .006 .003 .061 .042 .042 .162 .234 .139 .012 .000 .004 .046 .029 .029 .099 .178 .059 .000 .000 .018 r_peak,r_snr = .2313567 15.48343 Correlation Surface of oversamples image at 1546 3846 .127 .098 .109 .156 .234 .312 .302 .194 .087 .074 .078 .136 .259 .424 .526 .427 .215 .071 .054 .093 .218 .447 .698 .741 .486 .191 .045 .056 .137 .342 .675 .938 .833 .440 .135 .022 .073 .190 .453 .822 1.000 .742 .316 .075 .007 .097 .226 .486 .799 .856 .542 .192 .037 .002 .111 .218 .420 .631 .608 .344 .111 .021 .001 .102 .170 .302 .425 .385 .212 .072 .016 .001 .077 .115 .195 .268 .245 .147 .059 .016 .002 1546 .000 3846 -.125 15.48344 .006834 .023103 .004295 Correlation Surface at 1646 3846 .282 .297 .277 .388 .463 .337 .295 .253 .270 .318 .542 .537 .505 .324 .229 .292 .411 .677 .741 .663 .340 .275 .336 .515 .754 .989 .643 .346 .352 .369 .521 .744 1.000 .514 .351 .368 .378 .432 .690 .815 .437 .381 .325 .331 .339 .594 .639 .412 .410 .246 .237 .265 .483 .537 .364 .394 r_peak,r_snr = .2551581 3.75458 Correlation Surface of oversamples image at 1646 3846 .319 .395 .601 .816 .822 .729 .671 .588 .470 .371 .475 .716 .898 .882 .821 .757 .609 .446 .424 .551 .796 .941 .941 .914 .812 .598 .417 .465 .600 .822 .947 .987 .974 .815 .563 .393 .486 .607 .789 .916 1.000 .978 .775 .525 .382 .484 .573 .714 .859 .977 .937 .723 .503 .392 .462 .512 .627 .795 .927 .875 .681 .504 .426 .419 .441 .548 .729 .859 .811 .652 .520 .468 .363 .377 .487 .668 .790 .755 .630 .535 .496 1646 11.719 3846 10.313 3.75458 .009882 .116555 .008621 Correlation Surface at 1746 3846 .241 .045 .000 .133 .038 .002 .099 .083 .016 .238 .074 .015 .161 .002 .021 .239 .013 .026 .068 .001 .014 .120 .002 .135 .097 .039 .157 .002 .149 .000 .087 .342 .236 .001 .207 .202 .000 .150 .009 .298 1.000 .109 .017 .191 .061 .130 .020 .000 .626 .562 .002 .020 .009 .019 .180 .003 .011 .239 .001 .040 .002 .071 .069 r_peak,r_snr = 6.69040E-02 7.37423 Correlation Surface of oversamples image at 1746 3846 .011 .032 .175 .237 .227 .244 .246 .194 .087 .033 .012 .133 .251 .363 .481 .460 .277 .081 .047 .002 .105 .324 .601 .775 .623 .284 .056 .044 .000 .115 .476 .872 .944 .589 .197 .025 .031 .000 .169 .649 1.000 .832 .370 .083 .006 .018 .004 .228 .686 .816 .474 .118 .010 .000 .009 .013 .235 .513 .417 .121 .002 .006 .003 .002 .023 .173 .242 .092 .000 .039 .033 .004 .000 .016 .061 .037 .002 .072 .105 .038 .000 1746 -.344 3846 12.344 7.37423 .031074 .076064 .022898 Correlation Surface at 1846 3846 .617 .743 .802 .858 .893 .785 .693 .685 .664 .692 .817 .872 .849 .801 .803 .801 .751 .661 .762 .860 .847 .825 .846 .888 .841 .774 .713 .784 .836 .834 .863 .951 .911 .788 .793 .756 .772 .824 .887 .931 1.000 .910 .830 .854 .738 .725 .831 .922 .959 .985 .948 .958 .888 .724 .675 .797 .869 .939 .928 .923 .952 .884 .742 .650 .730 .808 .924 .838 .802 .860 .904 .735 .618 .684 .829 .948 .785 .739 .823 .909 .703 r_peak,r_snr = .380651 1.62696 Correlation Surface of oversamples image at 1846 3846 .743 .720 .726 .771 .826 .858 .856 .820 .748 .739 .703 .716 .792 .882 .927 .910 .845 .758 .735 .709 .745 .849 .948 .975 .924 .833 .748 .750 .744 .802 .915 .993 .980 .893 .794 .733 .789 .800 .866 .961 1.000 .946 .838 .757 .735 .843 .860 .914 .976 .979 .900 .796 .752 .768 .898 .907 .935 .969 .954 .873 .794 .791 .829 .938 .928 .935 .956 .941 .875 .832 .862 .893 .946 .923 .924 .945 .937 .896 .885 .924 .924 1846 .375 3846 4.188 1.62696 .064286 .356316 .045305 Correlation Surface at 1946 3846 .054 .069 .054 .111 .137 .109 .073 .054 .124 .063 .083 .067 .114 .160 .172 .105 .098 .161 .055 .065 .078 .149 .325 .354 .144 .150 .189 .044 .061 .111 .252 .729 .552 .161 .175 .194 .065 .102 .145 .373 1.000 .497 .137 .156 .185 .137 .154 .142 .376 .732 .306 .118 .144 .158 .178 .147 .119 .272 .389 .217 .143 .149 .116 .148 .108 .097 .195 .260 .208 .178 .145 .101 .123 .090 .092 .175 .226 .192 .185 .155 .143 r_peak,r_snr = .361139 9.26609 Correlation Surface of oversamples image at 1946 3846 .095 .117 .154 .218 .312 .381 .344 .239 .160 .114 .150 .210 .331 .509 .598 .476 .283 .172 .137 .185 .279 .482 .747 .808 .562 .292 .168 .161 .215 .348 .632 .942 .916 .563 .267 .152 .174 .230 .395 .721 1.000 .875 .491 .227 .135 .171 .224 .399 .706 .898 .722 .391 .189 .123 .153 .201 .359 .599 .701 .538 .302 .165 .122 .130 .170 .297 .457 .503 .389 .243 .160 .134 .109 .142 .234 .334 .358 .296 .216 .169 .156 1946 .156 3846 -.156 9.26609 .002225 .007920 .001089 Correlation Surface at 2046 3846 .041 .011 .032 .058 .152 .104 .133 .060 .049 .024 .065 .073 .040 .111 .099 .120 .130 .128 .018 .137 .080 .023 .165 .188 .119 .235 .215 .042 .158 .073 .055 .517 .340 .119 .203 .151 .076 .131 .069 .152 1.000 .305 .051 .045 .028 .064 .078 .039 .212 .804 .091 .002 .000 .002 .023 .025 .009 .148 .265 .009 .000 .000 .009 .007 .005 .003 .077 .086 .023 .007 .001 .013 .010 .005 .017 .087 .171 .117 .023 .008 .007 r_peak,r_snr = .187829 14.47897 Correlation Surface of oversamples image at 2046 3846 .121 .058 .037 .058 .106 .134 .113 .065 .042 .135 .067 .050 .104 .229 .287 .191 .076 .039 .139 .079 .082 .213 .463 .506 .265 .080 .034 .133 .092 .136 .391 .768 .704 .295 .070 .024 .118 .101 .199 .584 1.000 .759 .257 .049 .012 .095 .099 .246 .686 1.000 .628 .174 .025 .003 .064 .083 .244 .615 .747 .387 .087 .008 .000 .037 .061 .193 .416 .412 .178 .034 .002 .001 .022 .044 .127 .213 .170 .066 .014 .001 .001 2046 .031 3846 .219 14.47898 .004533 .022724 .003436 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .025 .001 .045 .160 .312 .476 .277 .064 .002 .017 .005 .070 .154 .312 .510 .319 .135 .038 .010 .006 .082 .173 .414 .594 .345 .202 .074 .002 .014 .102 .269 .693 .810 .352 .191 .081 .005 .056 .162 .429 1.000 .983 .335 .143 .062 .024 .091 .175 .464 .981 .843 .283 .101 .034 .013 .047 .110 .336 .655 .633 .248 .074 .018 .000 .010 .071 .225 .400 .580 .291 .090 .022 .007 .002 .074 .200 .337 .631 .388 .151 .036 r_peak,r_snr = .2528343 8.14857 Correlation Surface of oversamples image at 146 4246 .071 .128 .222 .360 .515 .575 .485 .352 .269 .082 .167 .305 .476 .631 .656 .519 .357 .270 .108 .230 .417 .622 .777 .760 .562 .359 .259 .150 .306 .533 .764 .915 .850 .591 .354 .241 .199 .377 .626 .868 1.000 .887 .588 .340 .221 .233 .416 .666 .895 .991 .845 .547 .314 .200 .228 .399 .631 .828 .889 .742 .480 .276 .173 .187 .337 .536 .697 .747 .634 .422 .244 .148 .138 .260 .417 .550 .616 .556 .392 .229 .134 146 -.500 4246 -4.781 8.14857 .013411 .044042 .006284 Correlation Surface at 246 4246 .455 .747 .890 .666 .515 .427 .488 .550 .527 .426 .628 .670 .611 .527 .399 .475 .578 .459 .375 .482 .584 .723 .686 .549 .513 .592 .473 .377 .469 .634 .917 .939 .807 .625 .641 .556 .460 .523 .641 .946 1.000 .863 .684 .639 .529 .548 .536 .599 .871 .898 .727 .647 .574 .424 .571 .508 .561 .830 .806 .601 .583 .543 .421 .592 .472 .552 .786 .724 .547 .577 .612 .526 .642 .448 .552 .681 .649 .575 .654 .674 .594 r_peak,r_snr = .2680406 2.1067 Correlation Surface of oversamples image at 246 4246 .701 .753 .730 .638 .541 .481 .480 .557 .688 .759 .828 .816 .753 .694 .650 .628 .669 .765 .805 .885 .892 .869 .855 .822 .773 .776 .837 .816 .903 .933 .950 .969 .935 .864 .844 .876 .794 .887 .938 .978 1.000 .953 .878 .853 .870 .758 .861 .927 .963 .959 .896 .831 .818 .829 .726 .844 .917 .931 .889 .816 .766 .767 .774 .714 .850 .926 .911 .837 .758 .722 .730 .729 .725 .880 .952 .912 .820 .741 .715 .721 .714 246 .438 4246 6.969 2.10670 .108775 .147892 .014100 Correlation Surface at 346 4246 .559 .458 .524 .622 .415 .158 .060 .027 .007 .548 .406 .379 .392 .427 .193 .035 .018 .004 .432 .329 .242 .283 .620 .248 .013 .003 .001 .266 .310 .281 .462 .916 .281 .014 .000 .022 .244 .469 .595 .855 1.000 .273 .022 .002 .040 .445 .737 .907 .992 .820 .225 .018 .003 .020 .665 .715 .754 .776 .643 .168 .013 .000 .001 .588 .425 .454 .536 .503 .144 .027 .011 .002 .388 .271 .306 .411 .417 .163 .069 .055 .013 r_peak,r_snr = .1757646 5.00233 Correlation Surface of oversamples image at 346 4246 1.749 2.197 2.594 2.668 2.500 2.298 2.790 3.161 3.258 3.195 3.003 3.375 3.576 3.614 3.622 3.646 3.699 3.596 3.553 3.639 4.000 3.608 3.206 3.149 3.331 3.866 3.086 2.556 2.578 2.845 3.240 2.338 1.884 2.033 2.363 2.631 1.846 1.556 1.831 2.212 346 -2.813 4246 -5.094 5.00233 .021013 .205632 .041302 Correlation Surface at 446 4246 .004 .004 .124 .500 .855 .330 .004 .010 .000 .025 .000 .136 .613 .654 .139 .000 .005 .003 .088 .004 .194 .624 .601 .167 .001 .004 .000 .097 .000 .248 .725 .871 .267 .000 .015 .011 .029 .009 .270 .902 1.000 .241 .002 .015 .006 .008 .003 .246 .714 .677 .169 .001 .001 .000 .044 .005 .123 .310 .375 .126 .009 .020 .001 .112 .022 .023 .143 .261 .119 .030 .001 .001 .053 .024 .004 .156 .247 .135 .019 .010 .001 r_peak,r_snr = .1552147 10.13012 Correlation Surface of oversamples image at 446 4246 .012 .090 .257 .504 .694 .626 .352 .113 .014 .012 .093 .262 .518 .737 .692 .401 .134 .019 .014 .102 .287 .579 .840 .798 .464 .156 .022 .022 .124 .342 .677 .951 .874 .490 .158 .019 .033 .158 .413 .763 1.000 .867 .462 .141 .012 .045 .195 .461 .775 .942 .772 .399 .116 .006 .052 .206 .436 .668 .770 .620 .328 .096 .005 .046 .172 .329 .477 .553 .473 .273 .087 .007 .030 .106 .192 .290 .379 .376 .246 .088 .014 446 -.406 4246 -.063 10.13013 .016573 .072413 .004398 Correlation Surface at 546 4246 .032 .151 .499 .678 .631 .466 .289 .178 .232 .097 .213 .503 .699 .588 .400 .344 .252 .218 .207 .186 .349 .595 .672 .518 .463 .277 .206 .254 .111 .223 .587 .942 .695 .475 .248 .220 .202 .091 .231 .616 1.000 .738 .430 .259 .261 .163 .129 .257 .485 .789 .773 .460 .304 .287 .178 .173 .197 .311 .703 .868 .469 .248 .259 .180 .139 .111 .260 .797 .809 .330 .147 .252 .125 .056 .073 .288 .805 .545 .197 .127 .269 r_peak,r_snr = .1756279 3.78808 Correlation Surface of oversamples image at 546 4246 .555 .866 1.520 2.457 3.315 3.489 2.831 1.882 1.126 .391 .762 1.555 2.683 3.585 3.501 2.570 1.529 .815 .284 .750 1.717 2.990 3.729 3.220 2.066 1.089 .535 .299 .906 2.093 3.473 3.914 2.968 1.704 .861 .460 546 .313 4246 -.188 3.78808 .029434 .156172 -.017064 Correlation Surface at 646 4246 .193 .204 .331 .442 .700 .778 .627 .662 .599 .174 .209 .282 .400 .635 .627 .555 .664 .693 .162 .237 .250 .424 .715 .638 .509 .598 .622 .174 .250 .233 .497 .900 .732 .525 .545 .532 .206 .239 .234 .569 1.000 .827 .634 .592 .522 .242 .219 .255 .572 .912 .888 .757 .729 .568 .237 .188 .264 .506 .770 .859 .826 .849 .654 .187 .176 .282 .495 .682 .749 .833 .858 .777 .148 .191 .336 .517 .590 .673 .772 .789 .848 r_peak,r_snr = .2421868 2.77137 Correlation Surface of oversamples image at 646 4246 .218 .260 .402 .595 .724 .739 .670 .580 .517 .192 .250 .423 .646 .788 .803 .716 .594 .508 .168 .248 .460 .724 .884 .887 .770 .614 .512 .152 .256 .504 .800 .968 .956 .816 .643 .533 .145 .269 .537 .837 1.000 .984 .850 .686 .574 .152 .287 .549 .825 .978 .981 .882 .740 .637 .168 .304 .537 .773 .923 .965 .913 .798 .712 .185 .310 .503 .701 .858 .944 .932 .841 .784 .201 .309 .465 .638 .805 .915 .922 .860 .841 646 -.781 4246 5.000 2.77137 .015230 .145823 -.004741 Correlation Surface at 746 4246 .041 .001 .025 .064 .240 .343 .186 .154 .364 .029 .001 .045 .098 .341 .422 .218 .158 .326 .008 .005 .056 .237 .581 .485 .190 .150 .171 .007 .000 .049 .398 .857 .508 .163 .095 .040 .014 .002 .045 .448 1.000 .479 .113 .023 .000 .004 .000 .034 .359 .892 .403 .065 .002 .004 .000 .003 .013 .235 .629 .324 .084 .007 .001 .000 .003 .007 .176 .406 .305 .205 .074 .012 .004 .002 .017 .147 .291 .380 .386 .191 .041 r_peak,r_snr = .1858177 12.31706 Correlation Surface of oversamples image at 746 4246 .044 .089 .191 .368 .540 .618 .562 .388 .227 .039 .113 .271 .503 .689 .716 .564 .329 .174 .036 .142 .356 .636 .832 .796 .546 .271 .127 .035 .170 .424 .742 .943 .843 .513 .221 .089 .035 .186 .458 .801 1.000 .844 .469 .181 .058 .036 .183 .455 .810 .997 .805 .426 .154 .039 .033 .160 .418 .765 .929 .730 .382 .138 .029 .025 .128 .361 .674 .809 .630 .343 .133 .031 .018 .101 .303 .565 .667 .529 .315 .145 .048 746 .031 4246 .219 12.31707 .009171 .156848 .003360 Correlation Surface at 946 4246 .009 .005 .159 .302 .190 .012 .279 .278 .070 .084 .060 .167 .056 .028 .036 .204 .088 .082 .158 .118 .098 .062 .124 .193 .066 .005 .132 .132 .094 .012 .376 .705 .424 .005 .010 .307 .045 .032 .000 .301 1.000 .475 .000 .068 .313 .000 .008 .038 .006 .532 .313 .006 .073 .057 .112 .001 .295 .188 .049 .117 .018 .009 .011 .513 .075 .329 .384 .012 .058 .020 .000 .016 .759 .203 .129 .223 .003 .071 .014 .017 .001 r_peak,r_snr = 8.17531E-02 9.13274 Correlation Surface of oversamples image at 946 4246 .062 .201 .269 .256 .256 .263 .169 .017 .010 .079 .235 .378 .460 .466 .366 .146 .002 .024 .058 .200 .445 .686 .712 .478 .142 .000 .015 .019 .130 .466 .871 .918 .568 .157 .003 .001 .000 .060 .430 .936 1.000 .611 .188 .018 .006 .037 .012 .330 .822 .901 .573 .212 .046 .025 .123 .001 .194 .580 .669 .465 .216 .074 .038 .212 .024 .074 .322 .417 .334 .194 .081 .033 .274 .073 .010 .139 .229 .216 .142 .054 .013 946 10.313 4246 10.469 9.13274 .038033 .104672 -.022446 Correlation Surface at 1046 4246 .363 .226 .024 .081 .148 .421 .383 .326 .131 .750 .329 .000 .072 .050 .371 .617 .311 .044 .784 .119 .024 .096 .191 .703 .415 .015 .037 .382 .010 .058 .245 .785 .862 .019 .157 .300 .161 .004 .140 .469 1.000 .485 .022 .243 .352 .142 .025 .127 .448 .548 .393 .018 .056 .144 .126 .098 .018 .251 .340 .592 .265 .002 .032 .112 .135 .024 .240 .359 .638 .450 .028 .029 .173 .008 .219 .297 .304 .687 .497 .014 .064 r_peak,r_snr = 8.14767E-02 7.05098 Correlation Surface of oversamples image at 1046 4246 .215 .194 .155 .170 .346 .726 .950 .643 .206 .241 .225 .213 .278 .527 .885 .897 .413 .047 .276 .296 .341 .483 .775 .995 .737 .189 .001 .338 .415 .528 .727 .973 .982 .534 .059 .048 .427 .551 .699 .872 1.000 .850 .366 .014 .084 .505 .633 .743 .826 .868 .695 .286 .010 .059 .499 .583 .618 .639 .687 .603 .294 .031 .012 .369 .400 .388 .417 .536 .574 .351 .084 .002 .203 .209 .199 .266 .459 .587 .416 .154 .031 1046 -.281 4246 .125 7.05098 .060135 .146347 .041923 Correlation Surface at 1146 4246 .033 .160 .020 .033 .051 .004 .066 .076 .036 .167 .234 .026 .022 .087 .002 .046 .090 .119 .481 .307 .035 .053 .285 .114 .000 .120 .304 .514 .281 .012 .323 .805 .292 .010 .167 .378 .260 .222 .000 .779 1.000 .192 .001 .169 .244 .191 .215 .000 .682 .507 .035 .011 .121 .120 .306 .212 .002 .288 .128 .001 .053 .068 .071 .370 .155 .001 .124 .022 .027 .058 .013 .050 .280 .129 .001 .062 .008 .004 .001 .005 .074 r_peak,r_snr = .1114923 11.58554 Correlation Surface of oversamples image at 1146 4246 .001 .024 .053 .081 .154 .226 .156 .032 .004 .000 .024 .069 .148 .295 .378 .243 .061 .000 .000 .021 .100 .274 .519 .561 .312 .071 .000 .001 .021 .155 .469 .794 .716 .332 .059 .003 .005 .022 .224 .680 1.000 .754 .288 .034 .011 .013 .020 .269 .782 .996 .636 .200 .010 .029 .025 .013 .258 .701 .781 .431 .108 .000 .054 .038 .007 .200 .511 .503 .245 .045 .006 .077 .052 .001 .128 .318 .280 .119 .011 .022 .095 1146 .469 4246 .250 11.58554 .029578 .074925 .024050 Correlation Surface at 1246 4246 .225 .314 .454 .625 .673 .565 .546 .467 .341 .258 .313 .436 .561 .649 .580 .528 .444 .347 .222 .283 .385 .522 .701 .664 .556 .449 .354 .183 .281 .387 .585 .847 .806 .614 .454 .338 .190 .332 .453 .706 1.000 .904 .611 .437 .314 .233 .397 .505 .738 .978 .814 .534 .408 .310 .271 .421 .491 .664 .780 .650 .472 .388 .327 .274 .387 .445 .574 .616 .572 .465 .376 .333 .263 .330 .416 .538 .580 .586 .481 .369 .321 r_peak,r_snr = .3886131 4.32225 Correlation Surface of oversamples image at 1246 4246 .451 .529 .664 .780 .789 .712 .621 .554 .507 .448 .546 .703 .832 .847 .768 .670 .598 .552 .471 .590 .763 .896 .911 .828 .720 .642 .592 .513 .647 .825 .953 .968 .878 .755 .667 .612 .557 .693 .863 .987 1.000 .896 .757 .662 .606 .579 .704 .860 .980 .988 .868 .721 .629 .578 .569 .677 .818 .929 .926 .799 .656 .578 .538 .536 .627 .752 .847 .832 .710 .587 .527 .500 .495 .571 .678 .754 .735 .633 .537 .494 .473 1246 .281 4246 -.844 4.32225 .011520 .047789 .006867 Correlation Surface at 1346 4246 .003 .001 .041 .316 .235 .023 .008 .064 .078 .028 .007 .060 .315 .205 .043 .041 .146 .079 .039 .036 .089 .268 .374 .250 .110 .107 .040 .050 .064 .047 .232 .823 .559 .083 .027 .028 .047 .016 .013 .260 1.000 .382 .014 .001 .045 .007 .000 .033 .263 .553 .107 .000 .002 .050 .001 .014 .096 .170 .186 .043 .004 .000 .071 .004 .084 .106 .093 .148 .055 .001 .019 .158 .029 .063 .050 .120 .276 .086 .004 .056 .224 r_peak,r_snr = .162506 14.1918 Correlation Surface of oversamples image at 1346 4246 .029 .121 .273 .402 .469 .443 .313 .164 .092 .037 .121 .262 .439 .614 .649 .461 .216 .092 .030 .099 .244 .502 .807 .872 .569 .223 .068 .014 .069 .228 .570 .969 .992 .567 .178 .034 .004 .047 .215 .603 1.000 .922 .448 .106 .007 .001 .036 .198 .558 .850 .685 .277 .044 .000 .001 .033 .170 .430 .580 .408 .142 .011 .013 .003 .035 .129 .273 .323 .210 .069 .001 .032 .010 .036 .086 .148 .163 .111 .038 .000 .045 1346 .250 4246 -.281 14.19181 .008138 .037014 .006243 Correlation Surface at 1446 4246 .028 .048 .060 .101 .202 .123 .106 .113 .006 .047 .064 .059 .091 .117 .053 .076 .079 .011 .038 .040 .069 .129 .181 .134 .085 .072 .015 .012 .029 .126 .247 .596 .478 .152 .107 .034 .006 .052 .141 .371 1.000 .635 .201 .150 .099 .013 .075 .104 .310 .582 .361 .146 .142 .166 .029 .079 .091 .135 .153 .207 .096 .085 .139 .038 .081 .076 .052 .106 .231 .094 .045 .079 .034 .072 .046 .071 .211 .279 .091 .029 .056 r_peak,r_snr = .1957463 15.25327 Correlation Surface of oversamples image at 1446 4246 .032 .079 .128 .184 .228 .215 .143 .087 .059 .041 .099 .170 .273 .378 .383 .255 .134 .071 .058 .128 .240 .430 .623 .626 .400 .193 .096 .080 .160 .328 .620 .879 .835 .510 .243 .128 .099 .191 .409 .757 1.000 .883 .527 .266 .154 .115 .217 .447 .751 .896 .745 .458 .258 .161 .121 .222 .401 .575 .614 .509 .349 .220 .140 .115 .193 .281 .324 .320 .299 .248 .169 .103 .103 .147 .157 .138 .144 .183 .187 .131 .074 1446 .094 4246 .000 15.25327 .009339 .013992 .001358 Correlation Surface at 1546 4246 .025 .072 .105 .267 .513 .596 .484 .214 .065 .047 .069 .087 .309 .556 .600 .429 .171 .065 .077 .060 .087 .362 .615 .645 .386 .137 .063 .077 .048 .103 .426 .827 .766 .333 .113 .059 .055 .037 .102 .463 1.000 .745 .254 .089 .051 .030 .023 .078 .426 .835 .527 .188 .073 .040 .016 .014 .060 .358 .570 .371 .169 .066 .032 .014 .012 .058 .305 .468 .354 .170 .061 .035 .012 .007 .047 .255 .442 .375 .169 .072 .044 r_peak,r_snr = .31446 9.52856 Correlation Surface of oversamples image at 1546 4246 .218 .351 .482 .593 .672 .689 .616 .474 .319 .252 .397 .534 .655 .736 .735 .625 .453 .288 .289 .446 .604 .748 .832 .791 .626 .423 .254 .315 .487 .681 .861 .935 .833 .609 .385 .223 .320 .509 .744 .953 1.000 .833 .568 .344 .200 .302 .506 .769 .978 .982 .773 .506 .306 .185 .271 .479 .742 .917 .879 .669 .440 .277 .176 .235 .436 .669 .792 .732 .557 .386 .260 .171 .203 .386 .574 .652 .593 .470 .353 .253 .168 1546 .313 4246 -.219 9.52856 .005382 .025446 .002674 Correlation Surface at 1646 4246 .045 .023 .006 .087 .233 .108 .006 .002 .024 .057 .013 .014 .105 .289 .154 .040 .000 .010 .028 .002 .017 .130 .419 .347 .104 .003 .006 .008 .000 .025 .237 .717 .557 .115 .007 .002 .005 .002 .057 .449 1.000 .538 .109 .013 .001 .004 .010 .089 .516 .984 .432 .126 .005 .008 .000 .008 .058 .384 .809 .352 .088 .009 .025 .000 .000 .012 .268 .613 .193 .002 .066 .009 .000 .004 .000 .198 .364 .035 .044 .074 .000 r_peak,r_snr = .2112618 21.84436 Correlation Surface of oversamples image at 1646 4246 .002 .021 .103 .268 .446 .503 .388 .206 .081 .002 .038 .172 .397 .620 .688 .519 .265 .107 .004 .075 .276 .559 .811 .850 .599 .290 .125 .012 .127 .382 .695 .951 .929 .604 .288 .140 .027 .173 .440 .758 1.000 .914 .559 .276 .158 .041 .187 .430 .742 .965 .832 .490 .262 .165 .045 .163 .374 .682 .877 .713 .411 .235 .144 .034 .121 .314 .618 .771 .583 .327 .187 .093 .018 .084 .272 .562 .660 .460 .242 .118 .034 1646 .156 4246 -.594 21.84436 .010146 .088618 .014489 Correlation Surface at 1746 4246 .001 .027 .027 .004 .088 .093 .041 .065 .105 .002 .002 .017 .085 .210 .247 .204 .067 .035 .015 .008 .000 .178 .497 .663 .378 .102 .018 .016 .004 .032 .233 .974 .805 .226 .109 .009 .002 .004 .037 .181 1.000 .359 .077 .102 .014 .010 .012 .009 .095 .508 .079 .092 .180 .041 .033 .026 .014 .079 .205 .050 .196 .264 .052 .002 .095 .061 .075 .093 .052 .148 .176 .026 .061 .202 .110 .014 .014 .012 .047 .084 .023 r_peak,r_snr = .1298794 8.91019 Correlation Surface of oversamples image at 1746 4246 .015 .107 .202 .261 .328 .398 .407 .372 .326 .064 .192 .304 .412 .555 .634 .556 .432 .351 .142 .284 .416 .600 .808 .818 .593 .387 .303 .213 .344 .509 .768 .985 .860 .507 .281 .225 .236 .350 .547 .843 1.000 .749 .362 .178 .158 .213 .316 .524 .801 .862 .555 .230 .112 .117 .177 .270 .463 .678 .651 .367 .143 .079 .095 .154 .235 .396 .533 .451 .232 .096 .064 .083 .156 .223 .339 .400 .300 .151 .071 .054 .069 1746 .031 4246 -.219 8.91019 .010617 .078291 .011077 Correlation Surface at 1846 4246 .085 .070 .001 .289 .823 .813 .383 .071 .000 .037 .033 .000 .341 .758 .749 .345 .054 .012 .000 .002 .009 .344 .702 .688 .309 .033 .021 .000 .000 .020 .343 .831 .742 .289 .024 .013 .007 .000 .021 .395 1.000 .751 .209 .009 .020 .020 .002 .015 .375 .881 .505 .079 .002 .054 .024 .007 .007 .259 .559 .272 .019 .009 .052 .030 .012 .000 .108 .301 .157 .011 .000 .012 .026 .015 .013 .019 .164 .110 .025 .023 .000 r_peak,r_snr = .1874728 8.51222 Correlation Surface of oversamples image at 1846 4246 .011 .070 .241 .498 .710 .758 .662 .518 .366 .015 .082 .282 .586 .806 .826 .707 .537 .347 .016 .097 .341 .693 .912 .908 .763 .546 .306 .016 .113 .399 .780 .988 .960 .775 .503 .235 .016 .126 .435 .815 1.000 .938 .704 .402 .152 .016 .136 .446 .795 .939 .829 .562 .277 .081 .020 .149 .443 .741 .830 .674 .406 .172 .039 .027 .160 .424 .665 .701 .520 .280 .105 .019 .030 .151 .374 .562 .559 .383 .192 .067 .012 1846 .125 4246 .313 8.51222 .014606 .122459 .013495 Correlation Surface at 1946 4246 .200 .022 .008 .029 .153 .425 .143 .006 .015 .099 .040 .001 .073 .215 .392 .002 .057 .052 .092 .104 .002 .125 .439 .472 .000 .043 .064 .113 .115 .006 .168 .935 .699 .043 .001 .012 .157 .106 .002 .115 1.000 .757 .220 .026 .008 .251 .171 .059 .030 .467 .630 .395 .060 .057 .356 .264 .117 .005 .223 .562 .447 .054 .103 .349 .249 .075 .032 .229 .432 .312 .031 .104 .242 .208 .018 .094 .160 .259 .174 .016 .075 r_peak,r_snr = .1187332 6.42161 Correlation Surface of oversamples image at 1946 4246 .037 .068 .121 .225 .307 .201 .018 .043 .159 .042 .084 .167 .336 .424 .237 .018 .038 .128 .044 .104 .256 .534 .624 .333 .044 .008 .053 .033 .116 .371 .782 .857 .470 .113 .006 .002 .013 .109 .455 .948 1.000 .588 .218 .066 .019 .001 .086 .448 .913 .963 .630 .326 .176 .088 .003 .055 .345 .704 .782 .594 .408 .296 .171 .014 .025 .205 .452 .566 .514 .449 .381 .221 .023 .008 .103 .272 .402 .434 .447 .402 .216 1946 .281 4246 -.344 6.42161 .015787 .066788 -.005614 Correlation Surface at 2046 4246 .088 .007 .000 .019 .061 .046 .050 .068 .163 .051 .013 .004 .010 .074 .086 .054 .076 .121 .034 .032 .012 .016 .231 .260 .037 .046 .102 .070 .074 .021 .055 .679 .495 .024 .026 .073 .129 .114 .020 .154 1.000 .534 .029 .009 .031 .128 .130 .013 .161 .653 .340 .015 .000 .021 .137 .131 .007 .047 .226 .085 .001 .001 .023 .145 .096 .006 .002 .056 .001 .002 .002 .008 .099 .030 .000 .002 .017 .000 .021 .012 .001 r_peak,r_snr = .1755652 15.86736 Correlation Surface of oversamples image at 2046 4246 .042 .017 .002 .074 .245 .365 .272 .108 .025 .055 .020 .006 .154 .482 .643 .410 .130 .018 .061 .015 .023 .293 .782 .896 .497 .129 .011 .060 .006 .059 .449 .997 .992 .492 .111 .008 .055 .001 .098 .532 1.000 .891 .414 .090 .008 .049 .000 .112 .485 .809 .683 .321 .074 .009 .046 .000 .082 .332 .540 .469 .232 .056 .007 .050 .001 .035 .172 .311 .292 .144 .031 .002 .055 .006 .007 .074 .166 .159 .065 .008 .001 2046 .219 4246 -.375 15.86736 .006408 .026998 .002893 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .033 .038 .221 .277 .293 .167 .053 .004 .000 .013 .036 .219 .239 .263 .179 .061 .004 .001 .007 .033 .171 .269 .507 .414 .146 .018 .001 .017 .014 .111 .398 .899 .675 .219 .022 .002 .045 .003 .109 .573 1.000 .580 .168 .007 .014 .042 .007 .181 .686 .705 .289 .103 .003 .042 .009 .026 .264 .622 .398 .160 .103 .002 .077 .001 .038 .241 .418 .258 .184 .125 .000 .101 .000 .036 .158 .289 .247 .224 .103 .000 .066 r_peak,r_snr = .1886789 9.29372 Correlation Surface of oversamples image at 146 4646 .249 .285 .337 .468 .603 .585 .406 .215 .096 .164 .222 .335 .554 .768 .761 .522 .265 .113 .100 .182 .353 .646 .907 .877 .582 .288 .121 .070 .181 .407 .746 .991 .898 .567 .276 .121 .073 .228 .505 .842 1.000 .823 .488 .238 .118 .115 .329 .636 .908 .937 .692 .385 .199 .122 .200 .472 .767 .926 .832 .560 .307 .180 .137 .321 .626 .860 .892 .718 .466 .275 .193 .163 .435 .727 .872 .810 .615 .414 .285 .232 .194 146 .063 4646 .719 9.29372 .022533 .083610 .027320 Correlation Surface at 246 4646 .103 .000 .031 .090 .063 .034 .012 .131 .297 .050 .000 .023 .072 .140 .069 .001 .070 .124 .009 .004 .012 .199 .483 .151 .001 .024 .017 .008 .004 .030 .503 .919 .210 .010 .016 .010 .063 .011 .096 .728 1.000 .224 .018 .025 .049 .138 .055 .141 .612 .708 .188 .039 .062 .107 .071 .033 .101 .295 .328 .129 .087 .082 .111 .023 .020 .047 .081 .122 .110 .109 .062 .081 .049 .043 .021 .015 .057 .121 .095 .057 .072 r_peak,r_snr = .1442533 7.41943 Correlation Surface of oversamples image at 246 4646 .001 .038 .161 .355 .530 .547 .379 .175 .067 .004 .062 .239 .504 .721 .711 .472 .214 .085 .018 .105 .327 .643 .885 .851 .560 .260 .107 .049 .154 .399 .742 .992 .938 .620 .297 .127 .082 .187 .429 .766 1.000 .931 .618 .305 .139 .096 .187 .396 .689 .882 .813 .540 .275 .141 .081 .149 .302 .521 .671 .627 .424 .228 .136 .051 .092 .181 .321 .441 .441 .317 .185 .128 .025 .040 .077 .155 .254 .294 .233 .152 .117 246 -.344 4646 1.250 7.41943 .014024 .122963 .005581 Correlation Surface at 346 4646 .174 .351 .333 .270 .343 .433 .376 .446 .426 .283 .515 .375 .262 .366 .457 .378 .311 .289 .344 .491 .296 .288 .545 .623 .415 .223 .194 .254 .309 .249 .422 .810 .763 .424 .243 .191 .125 .206 .351 .679 1.000 .779 .469 .356 .301 .071 .228 .479 .712 .849 .683 .527 .508 .504 .080 .318 .431 .456 .568 .561 .501 .565 .692 .124 .349 .318 .330 .497 .510 .478 .576 .742 .169 .348 .386 .489 .641 .555 .550 .609 .639 r_peak,r_snr = .1804013 3.22868 Correlation Surface of oversamples image at 346 4646 1.639 1.469 1.815 2.692 3.604 1.707 1.516 1.854 2.763 3.712 1.858 1.613 1.923 2.804 3.686 2.340 2.002 2.279 3.096 3.852 346 2.719 4646 1.813 3.22868 .045569 .108350 .032705 Correlation Surface at 446 4646 .101 .014 .023 .494 .666 .418 .029 .007 .031 .082 .008 .031 .325 .505 .247 .014 .005 .011 .142 .008 .015 .106 .289 .208 .037 .021 .009 .151 .044 .000 .059 .460 .463 .068 .015 .011 .083 .110 .002 .209 1.000 .587 .039 .000 .023 .069 .075 .039 .474 .884 .220 .009 .015 .019 .102 .014 .081 .317 .281 .080 .012 .019 .011 .092 .012 .022 .045 .132 .215 .050 .013 .037 .064 .067 .013 .002 .195 .397 .075 .016 .117 r_peak,r_snr = .1177142 10.65316 Correlation Surface of oversamples image at 446 4646 .003 .005 .059 .180 .299 .322 .219 .078 .019 .020 .000 .039 .204 .429 .510 .339 .112 .025 .039 .000 .057 .321 .679 .753 .440 .126 .023 .035 .001 .117 .509 .932 .882 .426 .096 .010 .014 .017 .209 .662 1.000 .777 .294 .045 .001 .001 .048 .273 .663 .822 .516 .145 .011 .001 .004 .078 .275 .529 .547 .288 .065 .002 .006 .013 .089 .227 .361 .336 .180 .051 .003 .006 .011 .069 .156 .229 .229 .166 .080 .016 .002 446 .125 4646 9.313 10.65317 .021508 .070070 .020196 Correlation Surface at 546 4646 .141 .211 .332 .590 .798 .724 .424 .264 .286 .137 .185 .278 .566 .886 .736 .351 .226 .256 .138 .160 .257 .570 .904 .657 .302 .208 .211 .139 .155 .269 .625 .933 .652 .351 .195 .151 .132 .152 .297 .698 1.000 .770 .453 .181 .114 .119 .153 .346 .750 .999 .857 .510 .187 .122 .123 .177 .391 .714 .850 .784 .498 .210 .143 .160 .201 .359 .580 .686 .717 .499 .230 .166 .196 .175 .246 .428 .636 .785 .543 .274 .221 r_peak,r_snr = .2966241 3.96635 Correlation Surface of oversamples image at 546 4646 .283 .422 .584 .726 .804 .798 .700 .542 .389 .270 .421 .609 .782 .883 .861 .715 .517 .352 .258 .422 .636 .840 .952 .896 .698 .471 .307 .249 .423 .657 .884 .991 .894 .657 .422 .270 .245 .424 .672 .909 1.000 .867 .614 .389 .254 .245 .429 .684 .922 .992 .837 .589 .384 .262 .248 .436 .696 .926 .975 .818 .591 .405 .289 .254 .448 .706 .921 .957 .814 .615 .445 .325 .265 .465 .715 .908 .938 .818 .647 .489 .357 546 -.063 4646 .219 3.96635 .013409 .616958 -.025679 Correlation Surface at 746 4646 .046 .020 .003 .010 .232 .427 .102 .002 .009 .001 .003 .001 .037 .652 .661 .132 .015 .022 .098 .008 .004 .150 1.000 .669 .172 .058 .082 .119 .005 .009 .232 .872 .454 .168 .140 .075 .006 .021 .053 .102 .484 .221 .125 .163 .033 .024 .083 .081 .037 .259 .112 .090 .081 .001 .003 .016 .001 .135 .216 .120 .123 .029 .008 r_peak,r_snr = .123177 9.08619 Correlation Surface of oversamples image at 746 4646 .034 .003 .005 .087 .300 .472 .408 .254 .154 .081 .012 .011 .165 .474 .647 .507 .297 .191 .127 .017 .027 .281 .675 .820 .600 .350 .249 .149 .016 .055 .417 .869 .950 .643 .372 .280 .158 .012 .087 .536 1.000 .978 .592 .318 .245 .183 .015 .101 .581 .999 .867 .440 .198 .160 .249 .033 .080 .522 .858 .651 .253 .082 .078 .356 .070 .043 .390 .630 .409 .108 .019 .031 .462 .113 .014 .243 .387 .204 .029 .001 .013 746 .219 4646 -12.406 9.08619 .017545 .119846 .020517 Correlation Surface at 846 4646 .489 .541 .107 .045 .307 .597 .735 .735 .402 .683 .558 .153 .161 .401 .609 .867 .732 .319 .566 .419 .252 .347 .605 .744 .904 .738 .479 .323 .284 .295 .529 .857 .847 .797 .801 .611 .169 .196 .268 .649 1.000 .831 .608 .659 .386 .156 .220 .271 .667 .945 .739 .470 .371 .173 .259 .312 .317 .564 .766 .659 .488 .274 .157 .314 .303 .316 .405 .535 .565 .649 .351 .225 .197 .199 .290 .305 .345 .446 .713 .409 .280 r_peak,r_snr = .1778122 4.15248 Correlation Surface of oversamples image at 846 4646 .288 .284 .353 .483 .612 .707 .747 .718 .666 .273 .310 .433 .612 .757 .831 .812 .715 .639 .253 .336 .520 .747 .900 .937 .842 .681 .595 .234 .355 .589 .846 .993 .985 .820 .618 .532 .223 .367 .619 .872 1.000 .955 .752 .541 .459 .228 .377 .608 .827 .933 .871 .665 .470 .391 .251 .383 .568 .745 .836 .776 .590 .424 .350 .279 .378 .512 .652 .734 .691 .542 .411 .349 .296 .357 .448 .556 .633 .615 .513 .425 .387 846 -1.813 4646 2.219 4.15248 .049169 .302853 .052614 Correlation Surface at 946 4646 .015 .032 .215 .523 .656 .096 .004 .000 .001 .003 .063 .283 .504 .521 .062 .009 .000 .003 .017 .025 .217 .475 .580 .140 .014 .001 .019 .080 .000 .133 .504 .824 .274 .010 .001 .003 .061 .001 .110 .547 1.000 .333 .016 .000 .008 .003 .032 .132 .542 .852 .283 .031 .000 .032 .091 .073 .165 .483 .598 .216 .043 .000 .041 .063 .065 .177 .421 .460 .226 .070 .000 .058 .007 .048 .165 .331 .406 .265 .106 .000 .088 r_peak,r_snr = .1709583 11.3651 Correlation Surface of oversamples image at 946 4646 .197 .348 .546 .681 .607 .384 .169 .048 .004 .169 .339 .568 .756 .745 .525 .246 .065 .004 .151 .339 .597 .840 .889 .661 .310 .077 .006 .142 .336 .610 .895 .985 .739 .338 .085 .010 .137 .324 .598 .903 1.000 .735 .332 .092 .017 .134 .305 .565 .858 .929 .660 .299 .097 .025 .131 .281 .516 .768 .797 .544 .253 .092 .025 .131 .262 .465 .666 .654 .433 .210 .081 .022 .138 .257 .433 .583 .544 .363 .186 .075 .021 946 -.094 4646 -.156 11.36510 .009629 .114794 .000952 Correlation Surface at 1046 4646 .034 .116 .116 .040 .021 .007 .003 .004 .097 .005 .034 .043 .041 .000 .002 .007 .047 .203 .002 .000 .004 .000 .138 .054 .009 .079 .103 .000 .004 .001 .136 .659 .167 .031 .006 .009 .000 .000 .009 .486 1.000 .214 .147 .027 .003 .001 .007 .029 .734 .601 .159 .163 .002 .002 .000 .021 .019 .404 .126 .110 .019 .084 .000 .008 .040 .000 .052 .023 .125 .002 .160 .002 .008 .057 .017 .003 .040 .244 .001 .087 .008 r_peak,r_snr = .1195376 17.76949 Correlation Surface of oversamples image at 1046 4646 .000 .000 .013 .134 .390 .528 .365 .133 .043 .000 .000 .036 .237 .604 .765 .490 .159 .042 .001 .001 .058 .344 .805 .941 .547 .161 .043 .006 .000 .081 .453 .958 .984 .501 .140 .045 .018 .000 .107 .550 1.000 .856 .370 .102 .043 .032 .000 .132 .591 .880 .606 .223 .066 .035 .041 .000 .142 .526 .630 .347 .116 .045 .027 .042 .000 .117 .362 .353 .164 .063 .039 .022 .042 .001 .059 .171 .145 .069 .046 .047 .021 1046 -.250 4646 .125 17.76950 .015680 .052534 .010730 Correlation Surface at 1146 4646 .069 .012 .028 .241 .224 .003 .043 .033 .041 .100 .023 .039 .181 .192 .002 .025 .020 .067 .108 .094 .126 .226 .360 .112 .009 .012 .052 .139 .170 .162 .250 .759 .372 .038 .010 .010 .105 .082 .065 .235 1.000 .363 .039 .000 .004 .023 .003 .010 .233 .697 .221 .075 .022 .008 .000 .002 .009 .184 .288 .176 .052 .004 .001 .000 .000 .028 .133 .187 .141 .000 .016 .020 .009 .014 .070 .184 .247 .047 .036 .031 .011 r_peak,r_snr = .1615958 16.36818 Correlation Surface of oversamples image at 1146 4646 .076 .185 .316 .382 .309 .135 .017 .001 .011 .155 .226 .321 .422 .438 .291 .106 .021 .002 .199 .219 .302 .478 .639 .537 .260 .084 .016 .168 .165 .266 .543 .860 .773 .383 .127 .022 .094 .105 .238 .603 1.000 .853 .391 .122 .022 .032 .065 .228 .633 .978 .737 .306 .100 .028 .005 .048 .234 .612 .807 .520 .208 .090 .047 .000 .045 .236 .521 .562 .315 .143 .097 .075 .000 .053 .225 .393 .347 .191 .122 .115 .092 1146 .125 4646 -.375 16.36819 .006806 .046999 .001989 Correlation Surface at 1246 4646 .024 .104 .214 .477 .723 .689 .362 .202 .218 .028 .121 .266 .464 .676 .607 .374 .277 .263 .026 .130 .285 .477 .688 .559 .342 .285 .222 .028 .135 .297 .563 .826 .591 .307 .227 .169 .043 .170 .348 .651 1.000 .680 .310 .179 .143 .074 .236 .362 .604 .998 .733 .344 .169 .133 .109 .257 .285 .483 .859 .733 .390 .194 .113 .122 .216 .212 .417 .788 .735 .438 .215 .098 .103 .168 .183 .412 .810 .742 .464 .220 .096 r_peak,r_snr = .3379562 6.24705 Correlation Surface of oversamples image at 1246 4646 .180 .251 .393 .589 .723 .713 .606 .485 .390 .176 .258 .425 .645 .780 .748 .616 .481 .377 .184 .284 .479 .724 .862 .809 .646 .482 .359 .205 .323 .541 .805 .947 .877 .681 .484 .337 .233 .359 .582 .853 1.000 .920 .701 .480 .316 .255 .370 .579 .843 .998 .924 .702 .474 .306 .256 .346 .530 .784 .948 .894 .689 .472 .310 .233 .301 .464 .709 .883 .855 .679 .482 .329 .198 .253 .407 .648 .832 .831 .684 .505 .360 1246 .094 4646 -.750 6.24705 .006213 .066908 -.003317 Correlation Surface at 1346 4646 .004 .103 .514 .806 .715 .361 .289 .147 .216 .023 .162 .308 .422 .427 .179 .215 .157 .282 .058 .160 .193 .318 .278 .116 .159 .159 .229 .092 .177 .277 .429 .509 .342 .187 .117 .108 .101 .225 .372 .535 1.000 .663 .201 .061 .042 .077 .261 .302 .449 .872 .472 .142 .023 .020 .063 .226 .166 .227 .321 .167 .087 .007 .018 .094 .161 .101 .108 .088 .104 .089 .013 .027 .154 .106 .096 .094 .068 .166 .172 .058 .052 r_peak,r_snr = .1486002 7.52332 Correlation Surface of oversamples image at 1346 4646 .147 .207 .274 .310 .296 .240 .186 .156 .171 .189 .272 .356 .433 .483 .443 .326 .227 .207 .241 .348 .462 .613 .762 .730 .511 .315 .238 .274 .394 .540 .766 .988 .936 .634 .371 .243 .264 .376 .534 .783 1.000 .920 .620 .361 .218 .216 .302 .435 .641 .794 .715 .493 .293 .170 .156 .209 .295 .429 .517 .466 .339 .211 .123 .104 .126 .172 .251 .300 .281 .223 .152 .094 .062 .067 .095 .142 .175 .178 .158 .121 .079 1346 .156 4646 .250 7.52332 .025778 .040421 -.003137 Correlation Surface at 1446 4646 .113 .142 .036 .002 .093 .200 .107 .039 .020 .064 .117 .025 .003 .156 .232 .076 .037 .041 .035 .085 .011 .047 .374 .392 .092 .061 .051 .042 .059 .001 .225 .772 .580 .149 .096 .047 .067 .040 .010 .444 1.000 .578 .208 .120 .037 .082 .024 .037 .430 .822 .456 .211 .129 .019 .087 .010 .046 .269 .572 .332 .172 .110 .004 .101 .003 .035 .159 .423 .216 .128 .081 .003 .117 .002 .023 .107 .295 .119 .109 .078 .019 r_peak,r_snr = .1970022 14.24497 Correlation Surface of oversamples image at 1446 4646 .101 .023 .007 .097 .231 .360 .392 .245 .083 .072 .003 .051 .215 .392 .524 .485 .264 .087 .038 .005 .154 .410 .633 .730 .587 .305 .110 .011 .044 .302 .641 .872 .877 .642 .346 .144 .000 .109 .448 .820 1.000 .896 .629 .367 .174 .008 .177 .536 .877 .967 .790 .557 .357 .188 .028 .221 .538 .802 .808 .624 .455 .316 .181 .053 .231 .478 .660 .632 .487 .371 .271 .169 .071 .213 .393 .525 .516 .417 .323 .239 .166 1446 .000 4646 .156 14.24498 .010899 .057545 .008730 Correlation Surface at 1546 4646 .018 .009 .013 .166 .445 .236 .117 .067 .033 .005 .003 .006 .168 .408 .271 .123 .051 .011 .000 .001 .007 .194 .563 .438 .147 .041 .002 .003 .004 .013 .285 .914 .544 .110 .020 .000 .029 .013 .037 .380 1.000 .422 .054 .008 .001 .061 .029 .073 .326 .699 .285 .045 .018 .000 .071 .055 .077 .239 .515 .272 .090 .055 .002 .074 .074 .087 .283 .547 .324 .126 .071 .003 .066 .079 .140 .377 .579 .335 .101 .040 .000 r_peak,r_snr = .2304488 15.58072 Correlation Surface of oversamples image at 1546 4646 .003 .051 .199 .415 .548 .497 .328 .169 .078 .003 .051 .221 .502 .703 .642 .398 .184 .077 .003 .057 .263 .621 .876 .770 .438 .181 .069 .005 .070 .312 .726 .993 .820 .430 .161 .057 .010 .089 .348 .770 1.000 .779 .386 .136 .046 .019 .101 .348 .723 .896 .676 .329 .114 .040 .026 .097 .305 .608 .734 .556 .278 .103 .041 .028 .084 .251 .492 .595 .469 .254 .110 .054 .029 .074 .216 .420 .521 .437 .264 .135 .074 1546 .031 4646 -.250 15.58073 .005154 .041170 .004128 Correlation Surface at 1646 4646 .021 .024 .084 .234 .373 .352 .233 .255 .283 .009 .008 .087 .272 .392 .340 .261 .308 .358 .000 .001 .066 .231 .472 .450 .343 .357 .350 .001 .002 .047 .237 .759 .710 .438 .334 .240 .001 .018 .062 .340 1.000 .794 .418 .259 .178 .008 .042 .104 .410 .821 .551 .285 .206 .198 .005 .043 .145 .367 .515 .310 .165 .196 .220 .001 .054 .192 .333 .380 .199 .123 .208 .172 .013 .117 .221 .318 .324 .160 .146 .183 .098 r_peak,r_snr = .2419587 9.47849 Correlation Surface of oversamples image at 1646 4646 .097 .150 .225 .359 .503 .512 .412 .347 .321 .081 .129 .236 .443 .655 .681 .564 .468 .405 .072 .126 .277 .562 .829 .857 .705 .567 .458 .075 .145 .343 .684 .966 .965 .771 .595 .457 .092 .183 .414 .759 1.000 .947 .726 .537 .401 .119 .228 .457 .748 .905 .805 .588 .420 .312 .150 .265 .458 .666 .736 .615 .430 .300 .230 .186 .294 .438 .570 .579 .459 .311 .215 .179 .225 .315 .418 .495 .470 .358 .238 .170 .162 1646 .188 4646 .313 9.47849 .008027 .033352 .005289 Correlation Surface at 1746 4646 .070 .000 .002 .007 .099 .120 .062 .018 .000 .024 .001 .000 .003 .072 .127 .066 .006 .003 .020 .013 .008 .000 .155 .245 .115 .002 .014 .031 .021 .032 .011 .540 .567 .195 .001 .031 .044 .015 .013 .137 1.000 .743 .144 .000 .042 .061 .011 .006 .355 .949 .580 .051 .000 .021 .085 .014 .043 .368 .696 .400 .042 .012 .000 .120 .029 .022 .237 .556 .303 .079 .045 .007 .141 .059 .001 .131 .373 .207 .070 .022 .005 r_peak,r_snr = .1946022 16.29081 Correlation Surface of oversamples image at 1746 4646 .012 .003 .004 .066 .202 .293 .243 .134 .042 .021 .005 .009 .125 .361 .486 .375 .195 .060 .023 .002 .030 .248 .605 .724 .511 .246 .071 .015 .000 .084 .426 .855 .907 .585 .253 .062 .003 .014 .176 .603 1.000 .952 .564 .213 .038 .001 .054 .291 .714 .999 .872 .481 .154 .016 .010 .117 .392 .735 .896 .743 .392 .105 .006 .027 .182 .448 .686 .771 .641 .334 .080 .005 .042 .223 .448 .607 .676 .584 .305 .078 .013 1746 .188 4646 .094 16.29082 .007576 .036395 .007303 Correlation Surface at 1846 4646 .004 .011 .163 .333 .231 .033 .007 .148 .246 .039 .045 .171 .354 .337 .114 .023 .207 .292 .043 .048 .165 .418 .608 .436 .136 .388 .454 .027 .048 .190 .469 .981 .779 .233 .428 .440 .052 .080 .194 .409 1.000 .611 .129 .268 .268 .117 .094 .138 .267 .634 .284 .082 .194 .195 .134 .064 .072 .187 .312 .195 .201 .248 .247 .080 .037 .058 .163 .146 .238 .350 .306 .305 .025 .039 .104 .124 .093 .274 .297 .254 .230 r_peak,r_snr = .1655867 7.40431 Correlation Surface of oversamples image at 1846 4646 .177 .214 .277 .337 .318 .193 .062 .017 .024 .196 .274 .391 .514 .538 .372 .158 .072 .083 .226 .342 .524 .735 .804 .579 .285 .159 .166 .252 .392 .626 .910 .996 .713 .373 .220 .211 .255 .384 .630 .931 1.000 .698 .362 .206 .184 .223 .316 .526 .789 .826 .551 .269 .139 .120 .165 .220 .379 .574 .576 .357 .157 .073 .066 .099 .133 .246 .374 .353 .199 .079 .036 .040 .048 .075 .155 .232 .203 .108 .045 .028 .039 1846 .344 4646 -.719 7.40431 .014332 .082625 .008461 Correlation Surface at 1946 4646 .001 .133 .097 .032 .000 .008 .002 .004 .084 .022 .001 .023 .004 .002 .020 .000 .031 .193 .093 .018 .008 .014 .115 .471 .643 .131 .134 .055 .001 .270 1.000 .612 .095 .281 .026 .028 .184 .670 .237 .092 .257 .001 .000 .010 .143 .097 .237 .260 .008 .061 .021 .012 .133 .374 .264 .000 .025 .016 .008 .144 .158 .149 .015 r_peak,r_snr = 8.68696E-02 9.86697 Correlation Surface of oversamples image at 1946 4646 .004 .007 .027 .031 .066 .176 .221 .137 .073 .003 .065 .127 .170 .295 .448 .321 .109 .055 .033 .156 .274 .416 .646 .697 .327 .072 .061 .076 .227 .415 .689 .942 .755 .240 .040 .079 .100 .241 .486 .846 1.000 .606 .129 .020 .097 .082 .196 .467 .823 .845 .409 .066 .015 .111 .035 .121 .381 .676 .623 .275 .049 .024 .124 .003 .062 .295 .524 .464 .231 .069 .056 .151 .004 .039 .253 .438 .406 .256 .126 .124 .207 1946 -12.563 4646 -2.094 9.86697 .038218 .070348 .016020 Correlation Surface at 2046 4646 .049 .000 .023 .001 .009 .020 .084 .099 .022 .004 .012 .003 .002 .005 .053 .074 .062 .005 .005 .002 .006 .000 .035 .376 .049 .011 .000 .011 .178 .029 .013 .508 .861 .006 .002 .004 .123 .285 .009 .078 1.000 .463 .014 .009 .041 .094 .104 .000 .087 .533 .028 .027 .020 .057 .021 .035 .000 .038 .082 .005 .003 .016 .009 .015 .010 .000 .022 .004 .001 .008 .017 .000 .007 .031 .028 .007 .001 .089 .139 .077 .004 r_peak,r_snr = .1067233 16.23106 Correlation Surface of oversamples image at 2046 4646 .000 .016 .037 .077 .148 .156 .057 .000 .014 .001 .015 .050 .140 .292 .288 .084 .000 .037 .002 .019 .087 .281 .553 .459 .101 .003 .045 .001 .035 .166 .515 .853 .560 .084 .006 .029 .000 .064 .275 .747 1.000 .490 .038 .009 .007 .003 .092 .353 .814 .858 .283 .003 .012 .000 .006 .098 .350 .674 .536 .095 .004 .009 .008 .005 .081 .274 .432 .239 .012 .015 .002 .025 .003 .056 .179 .217 .074 .000 .011 .001 .042 2046 .406 4646 -.406 16.23107 .015725 .043477 .013542 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .057 .251 .400 .372 .422 .357 .067 .001 .037 .044 .209 .326 .363 .468 .415 .133 .001 .074 .026 .057 .102 .240 .537 .558 .206 .000 .112 .017 .007 .031 .254 .767 .737 .250 .000 .063 .018 .018 .116 .523 1.000 .732 .237 .000 .025 .029 .084 .364 .799 .805 .531 .217 .002 .025 .070 .194 .483 .633 .417 .451 .232 .010 .036 .152 .349 .429 .339 .204 .418 .219 .001 .023 r_peak,r_snr = .1678776 11.82407 Correlation Surface of oversamples image at 146 5046 .152 .194 .256 .366 .475 .503 .492 .435 .260 .044 .115 .235 .419 .613 .710 .675 .501 .236 .005 .077 .250 .515 .779 .903 .794 .502 .189 .001 .083 .317 .655 .931 .988 .782 .435 .132 .010 .145 .441 .802 1.000 .916 .643 .326 .079 .073 .290 .604 .888 .941 .745 .479 .235 .045 .242 .499 .725 .848 .777 .575 .388 .208 .036 .459 .650 .700 .665 .567 .464 .392 .248 .041 .596 .639 .519 .411 .376 .422 .477 .332 .051 146 .719 5046 10.250 11.82407 .040149 .107046 .044833 Correlation Surface at 246 5046 .100 .337 .159 .379 .862 .552 .078 .000 .016 .222 .577 .370 .367 .815 .636 .081 .023 .204 .370 .838 .503 .295 .855 .743 .179 .237 .524 .298 .829 .480 .314 .962 .878 .396 .558 .468 .121 .482 .363 .394 1.000 .862 .533 .589 .328 .022 .240 .288 .419 .849 .723 .498 .446 .322 .001 .159 .285 .405 .681 .723 .541 .401 .314 .005 .154 .331 .405 .640 .822 .564 .357 .212 .034 .165 .276 .356 .627 .670 .412 .235 .150 r_peak,r_snr = .1143417 5.06472 Correlation Surface of oversamples image at 246 5046 .087 .213 .473 .663 .653 .452 .176 .027 .000 .169 .329 .588 .772 .790 .612 .302 .080 .006 .285 .434 .658 .853 .928 .792 .463 .169 .035 .399 .476 .641 .857 1.000 .922 .609 .278 .100 .480 .456 .565 .798 .993 .974 .706 .382 .196 .501 .393 .465 .707 .942 .969 .745 .455 .302 .459 .319 .382 .624 .875 .919 .718 .473 .377 .371 .257 .333 .571 .801 .824 .631 .434 .392 246 -.781 5046 -11.031 5.06472 .057524 .883604 .103676 Correlation Surface at 346 5046 .201 .374 .026 .011 .189 .080 .001 .012 .000 .226 .173 .001 .024 .375 .298 .157 .073 .031 .415 .086 .020 .077 .684 .584 .360 .210 .039 .550 .014 .078 .138 .902 .641 .279 .087 .020 .413 .004 .073 .255 1.000 .473 .105 .011 .005 .193 .007 .002 .356 .890 .305 .054 .023 .024 .062 .008 .000 .138 .414 .227 .084 .072 .062 .018 .058 .060 .000 .103 .162 .049 .030 .023 .001 .071 .045 .000 .066 .099 .003 .000 .000 r_peak,r_snr = 8.82155E-02 8.53295 Correlation Surface of oversamples image at 346 5046 .464 .403 .311 .275 .229 .105 .029 .612 .546 .492 .509 .481 .278 .087 .700 .620 .626 .737 .754 .453 .124 .719 .627 .697 .906 .953 .544 .128 .690 .599 .725 .988 1.000 .513 .105 .630 .549 .700 .957 .890 .396 .073 .569 .490 .632 .833 .694 .268 .045 .543 .452 .543 .651 .491 .172 .027 .540 .421 .429 .451 .326 .113 .019 346 2.281 5046 .500 8.53295 .071159 1.723987 .279469 Correlation Surface at 446 5046 .151 .030 .028 .062 .032 .077 .074 .174 .260 .055 .040 .309 .382 .205 .233 .240 .225 .158 .021 .137 .704 .683 .504 .520 .364 .223 .095 .065 .241 .513 .535 .814 .816 .393 .166 .040 .220 .236 .168 .305 1.000 .850 .314 .133 .036 .307 .203 .070 .259 .886 .588 .297 .302 .142 .186 .164 .062 .266 .538 .301 .435 .680 .352 .093 .149 .065 .225 .271 .192 .534 .718 .413 .137 .204 .107 .230 .263 .277 .416 .362 .272 r_peak,r_snr = .1219385 5.12382 Correlation Surface of oversamples image at 446 5046 .365 .492 .475 .416 .398 .400 .336 .231 .146 .349 .457 .493 .535 .602 .608 .472 .295 .170 .281 .370 .474 .644 .818 .823 .609 .366 .202 .199 .275 .440 .719 .972 .960 .693 .414 .223 .136 .203 .403 .736 1.000 .964 .695 .424 .229 .103 .161 .367 .684 .893 .842 .619 .390 .225 .087 .135 .318 .565 .689 .636 .479 .319 .219 .080 .119 .268 .433 .487 .439 .338 .253 .233 .074 .107 .219 .317 .330 .290 .230 .209 .268 446 5.219 5046 2.813 5.12382 .030331 .284351 -.014824 Correlation Surface at 546 5046 .055 .055 .208 .393 .354 .253 .117 .007 .003 .034 .033 .142 .376 .429 .315 .093 .001 .004 .015 .025 .118 .434 .588 .441 .102 .006 .000 .018 .028 .118 .490 .803 .624 .144 .019 .014 .012 .019 .119 .509 1.000 .802 .245 .046 .044 .000 .006 .128 .457 .978 .913 .395 .112 .052 .013 .002 .106 .299 .798 .966 .503 .156 .029 .019 .001 .035 .129 .601 .904 .422 .080 .003 .010 .000 .004 .048 .392 .666 .229 .008 .002 r_peak,r_snr = .2064048 10.65896 Correlation Surface of oversamples image at 546 5046 .412 .662 .822 .836 .721 .528 .323 .177 .095 .364 .597 .785 .867 .804 .620 .393 .217 .113 .303 .525 .763 .930 .914 .715 .444 .236 .117 .230 .439 .724 .974 .999 .771 .453 .224 .100 .151 .336 .640 .945 1.000 .745 .405 .178 .066 .092 .244 .537 .863 .931 .670 .339 .132 .038 546 -.188 5046 -1.219 10.65897 .020345 .170577 -.025743 Correlation Surface at 646 5046 .015 .022 .225 .651 .951 .581 .184 .039 .011 .006 .041 .195 .602 .937 .617 .219 .034 .003 .000 .049 .165 .550 .951 .702 .225 .014 .000 .000 .033 .133 .532 .991 .728 .175 .005 .000 .001 .016 .112 .558 1.000 .636 .126 .009 .008 .001 .015 .134 .590 .962 .510 .110 .029 .025 .000 .031 .179 .634 .925 .430 .110 .039 .010 .001 .048 .202 .711 .911 .373 .099 .023 .000 .001 .039 .181 .714 .811 .297 .089 .012 .002 r_peak,r_snr = .3122309 8.56153 Correlation Surface of oversamples image at 646 5046 .241 .411 .660 .883 .934 .798 .592 .398 .227 .224 .386 .631 .863 .937 .834 .643 .424 .216 .204 .360 .606 .854 .955 .878 .680 .421 .184 .182 .337 .592 .857 .982 .914 .687 .386 .143 .163 .321 .586 .863 1.000 .920 .654 .331 .106 .151 .315 .584 .863 .994 .888 .590 .272 .080 .148 .318 .585 .854 .967 .828 .513 .224 .068 .155 .330 .591 .846 .931 .754 .441 .189 .065 .173 .354 .613 .855 .903 .691 .386 .168 .069 646 .063 5046 3.750 8.56153 .022662 1.697140 .172210 Correlation Surface at 746 5046 .015 .042 .080 .224 .304 .138 .030 .047 .028 .018 .035 .084 .285 .407 .135 .019 .013 .007 .012 .037 .085 .305 .538 .199 .016 .000 .002 .006 .034 .039 .272 .752 .319 .012 .002 .007 .001 .013 .007 .332 1.000 .387 .009 .001 .021 .000 .004 .009 .478 .981 .350 .027 .005 .018 .006 .011 .042 .452 .663 .308 .096 .025 .006 .022 .030 .058 .249 .415 .311 .142 .019 .006 .023 .030 .033 .133 .356 .314 .112 .013 .016 r_peak,r_snr = .2188762 15.71249 Correlation Surface of oversamples image at 746 5046 .041 .086 .245 .515 .670 .533 .258 .077 .019 .015 .053 .225 .558 .787 .661 .341 .109 .021 .001 .031 .222 .620 .907 .778 .419 .139 .022 .001 .026 .249 .698 .993 .847 .473 .161 .023 .002 .036 .302 .757 1.000 .843 .492 .179 .029 .000 .064 .358 .757 .922 .781 .491 .206 .050 .004 .105 .388 .691 .793 .697 .494 .258 .099 .020 .138 .370 .577 .652 .622 .513 .335 .170 .037 .142 .309 .453 .533 .568 .536 .400 .228 746 .063 5046 .250 15.71250 .004823 .091387 .004651 Correlation Surface at 846 5046 .134 .102 .215 .496 .313 .242 .134 .049 .000 .362 .271 .263 .213 .119 .214 .128 .064 .018 .353 .466 .307 .102 .339 .438 .221 .198 .135 .184 .567 .340 .274 .941 .580 .146 .231 .164 .039 .467 .360 .653 1.000 .355 .018 .132 .027 .007 .248 .298 .633 .521 .125 .000 .094 .011 .035 .136 .188 .393 .334 .093 .022 .098 .010 .000 .155 .141 .304 .517 .300 .167 .091 .021 .064 .184 .112 .325 .871 .835 .279 .082 .110 r_peak,r_snr = .1071729 6.27701 Correlation Surface of oversamples image at 846 5046 .205 .099 .064 .088 .207 .384 .394 .239 .094 .237 .105 .075 .154 .395 .633 .563 .308 .118 .286 .141 .133 .303 .662 .876 .686 .337 .120 .350 .219 .261 .529 .901 .984 .682 .294 .089 .425 .349 .460 .759 1.000 .917 .558 .200 .045 .490 .497 .652 .871 .917 .727 .386 .103 .013 .515 .593 .729 .801 .712 .512 .236 .040 .002 .497 .606 .673 .623 .503 .347 .137 .012 .000 .478 .579 .575 .475 .385 .271 .096 .008 .004 846 -.750 5046 -5.750 6.27701 .051902 .151382 .058808 Correlation Surface at 946 5046 .481 .711 .595 .668 .720 .572 .375 .244 .454 .501 .531 .508 .662 .704 .557 .319 .270 .575 .430 .410 .514 .663 .772 .514 .322 .437 .714 .341 .414 .557 .728 .927 .482 .426 .636 .801 .304 .453 .572 .893 1.000 .564 .620 .708 .848 .310 .481 .590 .908 .942 .770 .753 .640 .770 .329 .494 .556 .670 .902 .946 .692 .494 .558 .329 .457 .469 .531 .885 .818 .543 .364 .371 .310 .397 .451 .598 .742 .505 .409 .297 .249 r_peak,r_snr = .2131506 2.41981 Correlation Surface of oversamples image at 946 5046 .597 .614 .679 .786 .861 .860 .841 .815 .718 .552 .554 .620 .760 .897 .942 .905 .813 .665 .487 .501 .599 .786 .957 .994 .908 .766 .601 .423 .469 .614 .835 .987 .971 .842 .687 .534 .401 .492 .686 .912 1.000 .917 .765 .622 .494 946 -.188 5046 1.781 2.41981 .026730 .421961 -.034805 Correlation Surface at 1046 5046 .102 .000 .002 .036 .001 .000 .002 .001 .000 .011 .025 .024 .010 .000 .000 .039 .003 .001 .000 .005 .001 .010 .093 .016 .031 .010 .011 .021 .025 .015 .209 .601 .144 .004 .008 .045 .031 .064 .001 .651 1.000 .300 .015 .001 .020 .006 .004 .038 .573 .846 .283 .064 .000 .003 .144 .018 .059 .264 .478 .158 .047 .003 .010 r_peak,r_snr = 9.73933E-02 14.10333 Correlation Surface of oversamples image at 1046 5046 .027 .005 .014 .130 .269 .225 .082 .004 .022 .075 .012 .038 .291 .520 .421 .195 .043 .001 .109 .007 .105 .528 .798 .640 .346 .117 .007 .100 .000 .208 .734 .982 .803 .476 .189 .033 .062 .007 .286 .789 1.000 .855 .529 .221 .059 .031 .018 .271 .667 .865 .783 .494 .212 .074 .014 .017 .191 .476 .675 .653 .420 .193 .086 .006 .008 .111 .318 .511 .525 .358 .198 .113 .005 .001 .056 .208 .378 .411 .319 .230 .154 1046 8.500 5046 12.281 14.10333 .032945 .129677 .010430 Correlation Surface at 1146 5046 .109 .162 .106 .571 .417 .222 .151 .076 .000 .000 .003 .030 .719 .633 .674 .312 .046 .126 .132 .121 .005 .325 .583 .738 .272 .002 .385 .268 .121 .000 .173 .751 .497 .090 .102 .514 .214 .086 .000 .422 1.000 .306 .033 .061 .251 .149 .050 .039 .696 .839 .256 .092 .006 .014 .129 .025 .107 .538 .454 .251 .225 .055 .001 .140 .023 .047 .137 .173 .254 .181 .006 .074 .156 .069 .002 .003 .095 .171 .010 .029 .111 r_peak,r_snr = 9.14745E-02 8.25238 Correlation Surface of oversamples image at 1146 5046 .006 .042 .112 .257 .465 .558 .408 .205 .083 .000 .019 .126 .388 .660 .671 .405 .156 .037 .001 .023 .226 .622 .868 .727 .364 .105 .012 .001 .059 .400 .866 .999 .716 .310 .074 .006 .000 .128 .565 .990 1.000 .647 .261 .064 .009 .007 .193 .609 .924 .863 .532 .217 .066 .020 .023 .209 .515 .713 .643 .394 .179 .075 .038 .038 .177 .358 .471 .420 .269 .154 .093 .055 .037 .114 .202 .264 .245 .187 .151 .113 .060 1146 .781 5046 3.406 8.25238 .045387 .380871 .089349 Correlation Surface at 1246 5046 .136 .156 .217 .496 .759 .624 .451 .393 .242 .125 .151 .243 .565 .797 .592 .459 .366 .211 .132 .176 .301 .640 .819 .622 .479 .358 .230 .166 .221 .324 .636 .894 .708 .488 .380 .297 .200 .245 .291 .596 1.000 .731 .457 .386 .334 .194 .233 .262 .574 .976 .644 .411 .368 .306 .171 .211 .258 .534 .833 .581 .409 .371 .300 .158 .202 .260 .481 .757 .613 .454 .403 .351 .164 .201 .247 .467 .781 .662 .496 .446 .382 r_peak,r_snr = .4313457 4.63122 Correlation Surface of oversamples image at 1246 5046 .705 .772 .773 .763 .765 .767 .757 .710 .615 .677 .743 .780 .812 .837 .832 .795 .720 .616 .627 .710 .799 .880 .919 .887 .808 .704 .601 .576 .686 .827 .947 .983 .911 .788 .665 .575 .538 .676 .849 .983 1.000 .890 .740 .618 .546 .518 .672 .849 .970 .961 .832 .684 .577 .525 .515 .666 .822 .915 .887 .763 .638 .556 .519 .518 .651 .776 .844 .811 .710 .617 .558 .527 .518 .624 .724 .781 .758 .682 .618 .572 .538 1246 .313 5046 -.500 4.63122 .003251 .057287 -.000045 Correlation Surface at 1346 5046 .144 .076 .150 .033 .047 .276 .168 .035 .035 .064 .128 .032 .000 .054 .359 .169 .016 .032 .052 .069 .008 .009 .186 .623 .175 .035 .055 .097 .015 .029 .063 .711 .972 .185 .069 .060 .086 .003 .023 .243 1.000 .683 .082 .029 .069 .001 .006 .038 .306 .480 .109 .000 .001 .109 .025 .035 .026 .141 .123 .001 .027 .000 .153 .014 .133 .004 .057 .120 .003 .008 .002 .130 .225 .245 .066 .078 .262 .086 .001 .057 .133 r_peak,r_snr = 9.44123E-02 10.13076 Correlation Surface of oversamples image at 1346 5046 .040 .023 .011 .001 .067 .215 .249 .120 .031 .022 .011 .001 .028 .197 .398 .347 .139 .041 .012 .001 .014 .154 .457 .618 .408 .141 .052 .003 .008 .112 .428 .786 .771 .402 .128 .056 .000 .059 .310 .753 1.000 .749 .318 .092 .038 .016 .158 .519 .934 .952 .549 .178 .037 .008 .056 .260 .619 .866 .684 .285 .052 .001 .003 .089 .290 .545 .605 .355 .082 .000 .018 .037 .083 .233 .377 .343 .134 .005 .022 .060 .072 1346 .375 5046 -.219 10.13077 .054333 .099997 .050536 Correlation Surface at 1446 5046 .007 .002 .004 .060 .272 .204 .048 .008 .001 .025 .000 .006 .028 .232 .300 .081 .018 .028 .023 .000 .004 .040 .303 .411 .112 .076 .046 .009 .003 .017 .123 .637 .536 .105 .076 .054 .000 .052 .098 .283 1.000 .458 .043 .033 .042 .021 .136 .135 .393 .927 .273 .002 .001 .014 .040 .120 .130 .371 .702 .153 .014 .017 .000 .024 .063 .151 .362 .612 .103 .052 .066 .017 .009 .036 .156 .392 .485 .081 .043 .091 .083 r_peak,r_snr = .1518138 15.15325 Correlation Surface of oversamples image at 1446 5046 .001 .022 .098 .241 .419 .464 .318 .175 .129 .005 .030 .123 .339 .587 .594 .378 .202 .139 .027 .062 .198 .510 .793 .712 .415 .201 .126 .078 .125 .323 .713 .952 .757 .394 .160 .093 .146 .212 .471 .869 1.000 .712 .317 .098 .056 .204 .300 .591 .925 .951 .615 .225 .047 .027 .227 .354 .631 .880 .847 .500 .139 .014 .007 .223 .367 .611 .806 .748 .396 .076 .001 .000 .217 .370 .595 .770 .681 .312 .037 .002 .005 1446 .344 5046 .156 15.15326 .012726 .092650 .017537 Correlation Surface at 1546 5046 .239 .187 .228 .313 .390 .312 .326 .478 .524 .232 .164 .199 .334 .434 .362 .321 .373 .397 .223 .152 .185 .342 .526 .466 .234 .214 .259 .179 .139 .167 .359 .765 .560 .152 .136 .216 .170 .150 .166 .444 1.000 .510 .133 .129 .218 .239 .189 .226 .542 .886 .414 .183 .159 .208 .284 .226 .343 .527 .587 .383 .305 .221 .194 .244 .274 .431 .462 .416 .386 .438 .290 .210 .229 .306 .410 .454 .342 .357 .480 .317 .236 r_peak,r_snr = .2792233 4.33538 Correlation Surface of oversamples image at 1546 5046 .296 .366 .451 .545 .631 .663 .572 .369 .180 .300 .376 .475 .602 .742 .790 .626 .340 .135 .295 .376 .493 .667 .869 .900 .638 .295 .103 .283 .370 .507 .733 .971 .940 .596 .249 .087 .270 .364 .521 .779 1.000 .887 .517 .212 .084 .267 .366 .530 .779 .934 .769 .434 .194 .098 .280 .379 .528 .724 .799 .633 .373 .198 .126 .314 .402 .513 .634 .653 .522 .345 .225 .172 .361 .430 .494 .546 .538 .453 .344 .268 .228 1546 .156 5046 -.219 4.33538 .004601 .032941 .003923 Correlation Surface at 1646 5046 .004 .000 .014 .045 .170 .084 .005 .003 .002 .001 .005 .001 .012 .143 .125 .006 .006 .020 .001 .016 .020 .017 .298 .288 .006 .018 .039 .005 .026 .024 .054 .749 .470 .023 .039 .039 .001 .051 .020 .152 1.000 .377 .055 .051 .024 .024 .082 .008 .183 .534 .203 .075 .042 .022 .101 .068 .000 .083 .140 .167 .057 .034 .047 .123 .015 .014 .023 .099 .180 .025 .042 .071 .087 .000 .020 .027 .172 .136 .012 .054 .037 r_peak,r_snr = .1542948 13.96302 Correlation Surface of oversamples image at 1646 5046 .007 .000 .027 .131 .270 .331 .229 .077 .011 .003 .003 .060 .234 .474 .557 .351 .119 .030 .000 .012 .114 .388 .737 .784 .449 .161 .065 .000 .025 .183 .559 .951 .892 .464 .186 .106 .000 .042 .256 .678 1.000 .815 .400 .195 .141 .000 .062 .303 .672 .840 .602 .309 .199 .162 .002 .079 .291 .523 .551 .373 .238 .204 .170 .010 .089 .226 .322 .298 .228 .212 .213 .172 .029 .091 .148 .169 .163 .180 .225 .223 .169 1646 .125 5046 -.219 13.96302 .006964 .031031 .004365 Correlation Surface at 1746 5046 .846 .862 .224 .360 .593 .494 .268 .010 .071 .760 .819 .259 .304 .558 .676 .217 .041 .067 .578 .727 .136 .180 .736 .705 .176 .089 .075 .508 .467 .013 .220 .973 .619 .152 .091 .143 .369 .140 .016 .461 1.000 .506 .139 .092 .233 .163 .063 .262 .737 .801 .383 .165 .095 .196 .086 .116 .530 .661 .579 .284 .172 .067 .093 .099 .123 .322 .456 .483 .198 .095 .017 .041 .090 .073 .175 .413 .410 .126 .031 .000 .019 r_peak,r_snr = .1135668 6.37397 Correlation Surface of oversamples image at 1746 5046 .015 .115 .306 .485 .648 .761 .714 .471 .221 .104 .260 .419 .551 .706 .814 .715 .422 .177 .243 .404 .537 .655 .796 .856 .663 .336 .124 .345 .493 .645 .789 .915 .881 .580 .244 .077 .337 .494 .714 .905 1.000 .856 .475 .163 .045 .254 .441 .736 .956 .994 .756 .354 .102 .027 .200 .426 .754 .952 .928 .639 .270 .079 .025 1746 .906 5046 -5.219 6.37397 .097626 1.083596 .279877 Correlation Surface at 1846 5046 .164 .241 .235 .268 .256 .215 .180 .036 .013 .296 .219 .250 .347 .322 .307 .159 .049 .046 .318 .208 .334 .376 .494 .517 .190 .161 .117 .271 .250 .349 .315 .852 .675 .258 .286 .104 .273 .304 .244 .249 1.000 .555 .285 .253 .054 .283 .262 .153 .233 .699 .364 .270 .192 .070 .234 .162 .150 .272 .461 .292 .244 .222 .147 .149 .107 .216 .319 .450 .289 .256 .316 .208 .086 .109 .264 .305 .459 .320 .316 .402 .215 r_peak,r_snr = .2064402 5.07593 Correlation Surface of oversamples image at 1846 5046 .268 .362 .349 .291 .315 .386 .342 .193 .085 .296 .385 .360 .338 .445 .568 .459 .228 .107 .313 .376 .354 .409 .640 .791 .561 .254 .137 .308 .339 .344 .504 .857 .966 .591 .257 .164 .278 .285 .330 .589 1.000 .986 .527 .231 .172 .238 .235 .317 .632 .991 .838 .405 .190 .162 .199 .199 .308 .615 .836 .610 .285 .152 .148 .162 .176 .299 .541 .623 .413 .203 .128 .137 .134 .168 .288 .446 .449 .296 .165 .118 .130 1846 .219 5046 -.469 5.07593 .005757 .039477 .002285 Correlation Surface at 1946 5046 .000 .052 .072 .086 .227 .276 .209 .092 .015 .000 .025 .067 .144 .206 .183 .104 .047 .006 .002 .001 .058 .194 .303 .255 .100 .044 .006 .005 .001 .090 .300 .698 .480 .136 .061 .017 .002 .036 .205 .477 1.000 .487 .147 .087 .048 .000 .150 .289 .513 .721 .305 .158 .100 .078 .000 .205 .197 .378 .378 .189 .164 .081 .098 .005 .140 .121 .285 .226 .122 .111 .059 .116 .003 .049 .092 .208 .139 .055 .045 .054 .095 r_peak,r_snr = .2111865 11.41591 Correlation Surface of oversamples image at 1946 5046 .194 .225 .220 .219 .261 .304 .280 .231 .229 .187 .244 .270 .320 .435 .507 .441 .334 .289 .224 .305 .369 .496 .695 .761 .614 .434 .348 .309 .399 .490 .687 .924 .927 .699 .477 .381 .433 .497 .589 .805 1.000 .918 .660 .458 .392 .556 .558 .621 .804 .910 .771 .550 .415 .401 .615 .547 .577 .705 .728 .582 .430 .369 .405 .585 .483 .501 .583 .554 .426 .334 .327 .395 .509 .420 .447 .498 .439 .326 .267 .288 .365 1946 .156 5046 -.125 11.41592 .008216 .024471 .004238 Correlation Surface at 2046 5046 .080 .051 .011 .001 .023 .013 .019 .079 .018 .059 .069 .026 .001 .011 .019 .003 .044 .003 .058 .083 .036 .002 .123 .185 .003 .008 .000 .074 .074 .024 .052 .620 .532 .017 .000 .001 .082 .045 .014 .145 1.000 .505 .019 .002 .012 .075 .039 .020 .101 .551 .170 .005 .001 .025 .100 .063 .042 .012 .083 .013 .003 .012 .023 .173 .078 .049 .001 .000 .002 .035 .024 .033 .201 .071 .031 .004 .006 .011 .060 .035 .071 r_peak,r_snr = .2124202 12.91481 Correlation Surface of oversamples image at 2046 5046 .001 .014 .051 .102 .155 .160 .086 .010 .003 .001 .035 .105 .213 .319 .301 .140 .018 .000 .006 .068 .205 .421 .580 .469 .184 .023 .000 .014 .110 .347 .697 .857 .583 .188 .022 .001 .018 .149 .491 .931 1.000 .568 .150 .016 .002 .017 .172 .569 .988 .920 .438 .096 .010 .002 .013 .162 .528 .825 .666 .267 .049 .005 .001 .006 .119 .379 .535 .373 .128 .020 .001 .000 .001 .064 .207 .264 .162 .049 .006 .000 .001 2046 .250 5046 -.250 12.91481 .004276 .012018 .001801 At line = 5400 Reading in data.... Correlation Surface at 246 5446 .026 .004 .000 .008 .174 .594 .641 .085 .007 .020 .001 .010 .103 .232 .455 .266 .000 .000 .025 .001 .042 .292 .365 .323 .005 .030 .003 .019 .002 .032 .445 .752 .320 .023 .026 .000 .063 .000 .016 .394 1.000 .304 .003 .001 .012 .124 .032 .024 .237 .655 .212 .048 .034 .013 .044 .077 .059 .130 .282 .130 .195 .272 .288 r_peak,r_snr = .1078343 10.21236 Correlation Surface of oversamples image at 246 5446 .083 .210 .321 .413 .515 .504 .287 .068 .001 .174 .366 .489 .552 .604 .490 .192 .015 .005 .223 .474 .637 .722 .747 .508 .133 .001 .014 .191 .463 .699 .876 .906 .548 .111 .000 .012 .098 .329 .631 .935 1.000 .581 .114 .000 .003 .020 .163 .473 .863 .980 .576 .130 .007 .001 .000 .053 .307 .704 .853 .521 .148 .030 .017 .015 .010 .184 .518 .652 .412 .153 .069 .059 .023 .002 .117 .358 .441 .283 .139 .114 .127 246 -.656 5446 11.656 10.21237 .017411 .092530 -.002844 Correlation Surface at 346 5446 .044 .277 .645 .628 .635 .618 .424 .270 .156 .045 .355 .521 .496 .690 .703 .560 .417 .248 .046 .294 .312 .436 .797 .805 .696 .512 .283 .044 .157 .179 .481 .959 .918 .642 .418 .183 .033 .064 .154 .528 1.000 .855 .452 .262 .082 .017 .047 .202 .488 .767 .592 .318 .184 .055 .022 .116 .291 .394 .496 .415 .327 .204 .082 .078 .274 .389 .336 .364 .392 .367 .249 .116 .158 .398 .468 .349 .326 .385 .285 .222 .125 r_peak,r_snr = .1935781 4.31256 Correlation Surface of oversamples image at 346 5446 .252 .293 .393 .538 .652 .669 .615 .550 .511 .177 .237 .375 .569 .718 .739 .673 .600 .557 .134 .226 .410 .650 .821 .835 .744 .642 .574 .124 .256 .487 .758 .932 .927 .800 .658 .556 .137 .313 .577 .846 1.000 .968 .807 .632 .501 .165 .371 .629 .857 .969 .917 .750 .569 .431 .196 .397 .604 .760 .827 .781 .645 .490 .368 .218 .377 .507 .591 .633 .616 .532 .422 .327 .230 .328 .385 .424 .463 .479 .445 .382 .316 346 .156 5446 1.594 4.31256 .027427 .128079 .023892 Correlation Surface at 446 5446 .287 .183 .155 .144 .194 .372 .312 .584 .742 .306 .232 .277 .251 .364 .331 .230 .543 .619 .450 .503 .568 .488 .593 .383 .369 .644 .511 .590 .645 .686 .691 .851 .604 .614 .690 .432 .454 .427 .602 .875 1.000 .750 .641 .581 .431 .205 .214 .479 .888 .815 .612 .580 .577 .582 .099 .123 .357 .585 .503 .493 .694 .815 .738 r_peak,r_snr = .1699382 2.83394 Correlation Surface of oversamples image at 446 5446 .687 .656 .622 .559 .507 .646 .633 .608 .574 .585 .634 .654 .659 .668 .732 .641 .707 .758 .816 .898 .641 .753 .858 .945 1.000 .605 .751 .891 .968 .964 .539 .694 .825 .856 .812 446 -.281 5446 14.625 2.83394 .090869 .115197 .026752 Correlation Surface at 646 5446 .205 .322 .438 .564 .727 .667 .374 .224 .161 .220 .337 .464 .604 .792 .628 .309 .189 .166 .225 .321 .439 .624 .868 .639 .285 .184 .177 .200 .263 .352 .635 .977 .685 .299 .200 .173 .153 .180 .248 .614 1.000 .681 .330 .227 .175 .120 .130 .198 .596 .943 .622 .330 .235 .181 .125 .124 .201 .615 .868 .552 .295 .225 .191 .148 .126 .230 .644 .774 .497 .292 .240 .214 .144 .117 .264 .589 .642 .468 .347 .284 .240 r_peak,r_snr = .3783234 5.02634 Correlation Surface of oversamples image at 646 5446 .444 .553 .702 .854 .889 .755 .544 .378 .279 .416 .540 .717 .887 .926 .783 .558 .381 .273 .393 .532 .733 .922 .968 .818 .579 .387 .266 .368 .519 .738 .942 .997 .845 .599 .395 .265 .337 .494 .722 .936 1.000 .854 .613 .408 .278 .304 .458 .686 .904 .976 .847 .624 .428 .303 .273 .418 .639 .855 .933 .824 .627 .447 .332 .247 .380 .589 .797 .875 .786 .616 .455 .350 .228 .349 .547 .743 .816 .741 .589 .444 .351 646 -.125 5446 -.781 5.02634 .004226 .220878 .002199 Correlation Surface at 746 5446 .016 .000 .161 .511 .677 .295 .137 .235 .049 .003 .001 .116 .376 .508 .172 .175 .135 .000 .009 .000 .034 .279 .475 .289 .199 .015 .069 .002 .042 .002 .278 .671 .539 .226 .002 .180 .015 .137 .001 .427 1.000 .519 .148 .004 .350 .073 .132 .015 .612 .953 .217 .005 .166 .539 .047 .078 .045 .478 .467 .069 .030 .424 .423 .006 .040 .032 .062 .092 .078 .029 .212 .101 .001 .014 .004 .057 .019 .078 .007 .000 .000 r_peak,r_snr = .1047293 9.13608 Correlation Surface of oversamples image at 746 5446 .048 .004 .029 .197 .471 .560 .371 .209 .153 .077 .004 .049 .283 .609 .678 .463 .293 .233 .085 .001 .079 .389 .756 .780 .526 .333 .259 .079 .000 .123 .516 .901 .850 .529 .295 .195 .065 .002 .189 .650 1.000 .846 .457 .193 .088 .041 .018 .284 .750 .982 .733 .328 .091 .019 .014 .059 .372 .724 .786 .516 .191 .031 .001 .000 .112 .363 .497 .441 .260 .085 .009 .001 .005 .118 .204 .174 .121 .073 .025 .002 .004 746 -.438 5446 .156 9.13608 .050363 .319400 .083503 Correlation Surface at 846 5446 .036 .297 .235 .045 .112 .126 .084 .437 .369 .086 .120 .002 .019 .069 .035 .006 .054 .066 .041 .019 .001 .055 .116 .074 .000 .000 .064 .004 .032 .051 .211 .493 .369 .028 .002 .210 .004 .113 .149 .361 1.000 .611 .064 .034 .227 .052 .100 .085 .315 .874 .479 .096 .148 .150 .041 .003 .026 .277 .507 .418 .351 .500 .140 .000 .019 .010 .309 .334 .506 .829 .597 .104 .004 .025 .010 .277 .289 .540 .638 .188 .047 r_peak,r_snr = 9.64763E-02 9.91919 Correlation Surface of oversamples image at 846 5446 .002 .034 .101 .187 .216 .143 .049 .008 .003 .021 .090 .209 .351 .400 .306 .155 .054 .025 .074 .186 .377 .593 .668 .547 .326 .145 .073 .150 .295 .546 .821 .907 .757 .480 .233 .119 .217 .371 .641 .928 1.000 .829 .537 .271 .142 .262 .404 .648 .886 .916 .746 .493 .263 .151 .277 .392 .577 .726 .698 .559 .392 .237 .171 .267 .356 .479 .532 .458 .373 .301 .234 .230 .253 .334 .409 .380 .287 .251 .257 .279 .342 846 .375 5446 -.969 9.91919 .035493 .093935 .001019 Correlation Surface at 946 5446 .039 .105 .259 .327 .362 .349 .294 .288 .214 .080 .189 .279 .329 .392 .336 .359 .313 .203 .127 .203 .228 .351 .606 .618 .458 .303 .240 .170 .183 .208 .378 .921 .901 .453 .311 .287 .228 .191 .207 .381 1.000 .774 .411 .337 .243 .210 .239 .234 .454 .896 .571 .433 .343 .156 .134 .274 .313 .624 .830 .513 .503 .355 .138 .101 .232 .341 .658 .754 .545 .554 .362 .214 .088 .087 .224 .520 .727 .628 .548 .387 .317 r_peak,r_snr = .2074021 4.90486 Correlation Surface of oversamples image at 946 5446 .333 .382 .436 .488 .495 .433 .364 .348 .351 .312 .397 .507 .622 .667 .589 .468 .398 .363 .302 .413 .580 .775 .865 .741 .540 .413 .356 .292 .415 .627 .893 .999 .806 .542 .390 .336 .274 .395 .632 .926 1.000 .752 .481 .348 .312 .255 .373 .613 .879 .889 .631 .405 .314 .297 .251 .372 .601 .804 .749 .517 .353 .305 .301 .271 .402 .612 .744 .643 .446 .336 .322 .326 .318 .460 .647 .717 .590 .423 .349 .360 .368 946 .375 5446 .281 4.90486 .016184 .265234 .038321 Correlation Surface at 1046 5446 .000 .008 .035 .391 .380 .229 .196 .215 .156 .000 .006 .158 .462 .378 .335 .250 .148 .083 .004 .058 .290 .410 .499 .578 .319 .148 .082 .021 .103 .273 .417 .831 .690 .281 .191 .111 .056 .099 .205 .568 1.000 .451 .214 .204 .138 .090 .090 .200 .713 .672 .227 .249 .232 .190 .113 .115 .227 .579 .315 .217 .423 .344 .323 .117 .161 .226 .380 .198 .332 .617 .565 .496 .098 .163 .201 .305 .240 .412 .571 .712 .612 r_peak,r_snr = .1608053 4.93777 Correlation Surface of oversamples image at 1046 5446 .242 .249 .256 .313 .432 .544 .505 .329 .186 .243 .226 .248 .358 .548 .687 .587 .357 .193 .205 .195 .258 .447 .711 .827 .629 .360 .199 .163 .182 .306 .585 .883 .902 .602 .333 .202 .145 .205 .401 .748 1.000 .866 .511 .287 .204 .160 .263 .520 .877 .996 .727 .395 .247 .215 .206 .338 .617 .902 .863 .549 .305 .236 .249 .264 .393 .631 .792 .655 .397 .260 .261 .311 .307 .396 .547 .600 .459 .304 .264 .324 .398 1046 -.031 5446 -.219 4.93777 .021645 .074358 .023795 Correlation Surface at 1146 5446 .016 .029 .164 .198 .204 .206 .004 .000 .018 .027 .006 .054 .134 .301 .247 .004 .004 .048 .061 .012 .002 .138 .455 .215 .005 .012 .039 .026 .019 .002 .278 .787 .289 .023 .020 .044 .000 .006 .003 .424 1.000 .444 .069 .061 .110 .011 .001 .000 .329 .715 .419 .101 .110 .165 .014 .001 .003 .205 .490 .276 .082 .096 .168 .011 .002 .016 .283 .593 .186 .080 .096 .197 .004 .001 .055 .549 .737 .195 .124 .161 .187 r_peak,r_snr = 9.92277E-02 10.20846 Correlation Surface of oversamples image at 1146 5446 .139 .345 .724 1.539 2.583 2.702 1.679 .682 .351 .135 .311 .740 1.678 2.640 2.378 1.195 .405 .249 .073 .263 .861 2.005 2.774 2.052 .835 .265 .204 .060 .358 1.333 2.783 3.251 2.107 .872 .379 .353 1146 -.188 5446 3.844 10.20847 .028254 .158137 -.004900 Correlation Surface at 1346 5446 .001 .000 .017 .206 .108 .018 .036 .000 .082 .001 .012 .001 .092 .054 .027 .001 .019 .033 .005 .020 .000 .070 .117 .089 .000 .006 .000 .021 .005 .004 .189 .497 .216 .001 .001 .003 .017 .004 .004 .461 1.000 .296 .000 .019 .107 .021 .062 .004 .598 .934 .228 .012 .055 .224 .082 .129 .024 .463 .483 .112 .002 .004 .099 .095 .017 .111 .220 .150 .067 .078 .073 .003 .002 .047 .226 .077 .094 .140 .404 .212 .006 r_peak,r_snr = .1167347 12.55106 Correlation Surface of oversamples image at 1346 5446 .081 .199 .289 .293 .267 .199 .070 .001 .016 .102 .255 .416 .497 .505 .387 .166 .027 .001 .083 .272 .533 .723 .762 .577 .275 .072 .001 .044 .252 .597 .887 .942 .700 .356 .103 .000 .017 .218 .606 .951 1.000 .741 .392 .099 .002 .007 .189 .574 .913 .946 .712 .376 .069 .019 .007 .174 .508 .778 .790 .611 .316 .038 .032 .019 .174 .415 .568 .557 .453 .230 .021 .017 .054 .186 .307 .342 .322 .285 .146 .017 .000 1346 -.188 5446 .531 12.55106 .017845 .080690 .011421 Correlation Surface at 1446 5446 .710 .431 .137 .124 .147 .115 .182 .329 .212 .521 .275 .086 .116 .155 .132 .106 .187 .150 .190 .079 .089 .158 .437 .311 .062 .115 .113 .065 .024 .125 .307 .925 .449 .086 .153 .180 .112 .051 .187 .482 1.000 .444 .191 .269 .300 .220 .154 .250 .464 .776 .459 .252 .262 .295 .241 .286 .209 .353 .725 .427 .168 .155 .243 .290 .245 .110 .330 .684 .285 .119 .137 .284 .381 .105 .090 .354 .481 .198 .144 .273 .354 r_peak,r_snr = .160232 5.02046 Correlation Surface of oversamples image at 1446 5446 .087 .089 .099 .125 .188 .258 .246 .173 .130 .092 .108 .137 .221 .383 .486 .372 .195 .112 .110 .144 .215 .400 .672 .731 .461 .202 .106 .135 .194 .327 .622 .927 .854 .473 .206 .120 .160 .246 .439 .781 1.000 .801 .429 .221 .161 .190 .294 .509 .801 .886 .655 .386 .259 .228 .228 .326 .512 .707 .706 .530 .378 .315 .304 .255 .324 .458 .579 .568 .472 .394 .357 .341 .262 .293 .388 .490 .517 .474 .409 .354 .313 1446 .063 5446 .375 5.02046 .012675 .154365 .008764 Correlation Surface at 1546 5446 .073 .174 .208 .205 .358 .381 .320 .136 .061 .086 .150 .172 .240 .485 .492 .291 .112 .109 .111 .156 .170 .347 .729 .599 .239 .156 .186 .133 .163 .181 .461 .964 .664 .242 .226 .231 .134 .154 .199 .526 1.000 .641 .271 .248 .242 .116 .146 .229 .515 .773 .516 .275 .224 .235 .100 .167 .259 .431 .509 .406 .278 .227 .204 .095 .194 .257 .322 .394 .444 .340 .240 .161 .106 .197 .235 .252 .454 .596 .403 .203 .123 r_peak,r_snr = .3060925 7.25129 Correlation Surface of oversamples image at 1546 5446 .184 .197 .277 .437 .636 .750 .665 .460 .280 .185 .221 .342 .554 .786 .861 .682 .421 .252 .194 .253 .414 .674 .917 .932 .681 .401 .253 .210 .287 .480 .769 .997 .952 .668 .399 .275 .231 .318 .523 .812 1.000 .911 .635 .401 .301 .253 .341 .538 .794 .926 .815 .577 .393 .318 .273 .353 .523 .724 .798 .687 .504 .372 .321 .283 .350 .482 .622 .654 .565 .438 .353 .323 .284 .335 .429 .516 .530 .479 .406 .361 .343 1546 .156 5446 -.344 7.25129 .005442 .041957 .003688 Correlation Surface at 1646 5446 .011 .022 .037 .149 .211 .068 .058 .056 .032 .038 .047 .069 .190 .214 .098 .076 .040 .034 .115 .093 .076 .166 .304 .298 .116 .038 .050 .174 .105 .065 .193 .672 .617 .150 .055 .050 .164 .079 .088 .330 1.000 .529 .119 .053 .038 .122 .069 .131 .406 .711 .255 .076 .057 .062 .081 .072 .131 .295 .372 .162 .089 .129 .117 .066 .093 .134 .252 .302 .164 .155 .234 .087 .112 .174 .215 .320 .297 .128 .216 .233 .022 r_peak,r_snr = .2422137 13.06555 Correlation Surface of oversamples image at 1646 5446 .050 .067 .129 .208 .252 .238 .185 .107 .049 .035 .052 .125 .251 .376 .413 .333 .180 .071 .032 .057 .156 .361 .590 .662 .507 .254 .093 .046 .089 .234 .532 .841 .879 .617 .290 .103 .082 .150 .344 .705 1.000 .938 .607 .275 .097 .136 .224 .441 .784 .970 .824 .510 .234 .085 .183 .271 .467 .720 .789 .634 .401 .198 .078 .197 .267 .414 .572 .585 .477 .329 .182 .083 .179 .229 .334 .438 .447 .388 .297 .183 .101 1646 .125 5446 .094 13.06555 .005453 .017052 .003841 Correlation Surface at 1746 5446 .014 .026 .458 .380 .102 .000 .085 .103 .299 .010 .046 .372 .277 .067 .013 .338 .115 .122 .018 .157 .379 .235 .146 .224 .498 .083 .034 .000 .174 .350 .372 .546 .622 .457 .184 .036 .000 .014 .202 .700 1.000 .757 .516 .346 .020 .023 .049 .125 .884 .891 .640 .395 .081 .018 .053 .047 .162 .581 .552 .463 .056 .021 .129 .004 .001 .149 .257 .484 .285 .014 .006 .232 .004 .014 .080 .193 .312 .046 .033 .029 .142 r_peak,r_snr = 8.45181E-02 8.88294 Correlation Surface of oversamples image at 1746 5446 .038 .110 .170 .209 .217 .214 .245 .339 .428 .025 .094 .199 .316 .395 .424 .455 .495 .496 .010 .074 .231 .466 .645 .674 .630 .574 .510 .002 .060 .272 .642 .899 .862 .714 .591 .507 .000 .054 .310 .766 1.000 .877 .680 .555 .487 .000 .056 .326 .747 .879 .721 .562 .490 .445 .002 .068 .309 .604 .644 .524 .450 .440 .392 .010 .081 .250 .410 .417 .371 .377 .398 .317 .026 .084 .177 .253 .265 .281 .334 .342 .220 1746 -3.969 5446 -6.063 8.88294 .223255 .193426 .097324 Correlation Surface at 1846 5446 .008 .002 .000 .015 .095 .059 .008 .001 .003 .003 .000 .000 .030 .133 .076 .018 .001 .009 .000 .000 .002 .065 .294 .208 .035 .005 .020 .001 .001 .006 .166 .712 .432 .050 .012 .023 .000 .001 .011 .306 1.000 .463 .067 .023 .023 .002 .000 .014 .310 .704 .306 .076 .042 .029 .006 .006 .020 .187 .295 .173 .082 .061 .030 .008 .013 .027 .085 .133 .126 .082 .046 .017 .009 .008 .016 .049 .125 .128 .073 .017 .005 r_peak,r_snr = .2965141 34.21769 Correlation Surface of oversamples image at 1846 5446 .000 .005 .036 .114 .206 .216 .125 .035 .004 .002 .019 .082 .237 .416 .428 .235 .057 .005 .009 .039 .148 .408 .693 .673 .339 .079 .009 .015 .056 .214 .577 .930 .829 .385 .093 .016 .016 .061 .250 .668 1.000 .811 .356 .098 .029 .011 .051 .239 .630 .871 .650 .283 .097 .046 .006 .035 .189 .486 .629 .448 .207 .092 .064 .003 .023 .129 .318 .398 .290 .152 .088 .080 .003 .016 .079 .190 .245 .197 .120 .083 .086 1846 .094 5446 -.125 34.21770 .002796 .010843 .001136 Correlation Surface at 1946 5446 .357 .366 .376 .486 .518 .518 .481 .425 .381 .385 .382 .436 .504 .514 .509 .462 .402 .360 .444 .361 .426 .523 .632 .589 .437 .329 .305 .457 .320 .376 .578 .873 .709 .412 .285 .294 .426 .308 .361 .675 1.000 .719 .412 .318 .368 .382 .321 .402 .712 .842 .638 .447 .403 .462 .343 .361 .466 .646 .677 .616 .495 .456 .484 .352 .422 .484 .572 .652 .629 .486 .441 .450 .421 .470 .478 .571 .684 .591 .420 .405 .397 r_peak,r_snr = .411576 2.42102 Correlation Surface of oversamples image at 1946 5446 .346 .405 .463 .524 .538 .486 .406 .338 .297 .359 .425 .507 .599 .636 .587 .482 .384 .319 .355 .431 .549 .693 .771 .720 .574 .433 .337 .337 .426 .590 .794 .910 .841 .646 .466 .345 .314 .419 .627 .875 1.000 .896 .667 .474 .348 .295 .419 .653 .904 .998 .862 .639 .466 .357 .290 .425 .655 .864 .905 .765 .586 .457 .379 .298 .433 .628 .770 .768 .652 .531 .452 .408 .316 .438 .585 .668 .645 .563 .492 .451 .435 1946 .000 5446 -.250 2.42102 .004642 .016779 .002104 Correlation Surface at 2046 5446 .004 .013 .031 .020 .042 .037 .010 .001 .000 .009 .007 .007 .008 .047 .039 .005 .002 .000 .000 .011 .001 .024 .165 .160 .015 .005 .000 .010 .002 .001 .136 .637 .422 .020 .008 .000 .004 .002 .004 .312 1.000 .426 .010 .007 .001 .001 .000 .010 .258 .568 .207 .007 .007 .000 .017 .007 .008 .072 .148 .108 .015 .005 .002 .033 .006 .004 .007 .066 .112 .034 .000 .001 .013 .001 .001 .007 .084 .129 .066 .015 .000 r_peak,r_snr = .2380865 35.38507 Correlation Surface of oversamples image at 2046 5446 .008 .000 .019 .079 .145 .155 .084 .013 .002 .003 .004 .060 .192 .340 .359 .196 .040 .000 .000 .024 .140 .382 .640 .634 .330 .073 .001 .002 .056 .240 .589 .917 .840 .416 .092 .001 .007 .082 .303 .690 1.000 .861 .415 .095 .002 .009 .082 .283 .612 .841 .703 .346 .086 .003 .006 .056 .191 .405 .549 .470 .250 .070 .004 .002 .026 .091 .200 .287 .272 .164 .053 .004 .000 .006 .027 .073 .130 .148 .104 .038 .002 2046 .125 5446 -.125 35.38508 .004182 .010094 .001446 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .031 .031 .014 .026 .000 .013 .004 .115 .354 .171 .005 .265 .090 .003 .002 .342 .467 .086 .148 .583 .292 .021 .065 .773 .120 .000 .329 .761 .409 .014 .199 .847 .000 .040 .492 1.000 .313 .004 .229 .413 .029 .159 .779 .976 .143 .036 .125 .168 .112 .435 .984 .645 .062 .032 .051 .187 .278 .560 .850 .303 .014 .022 .052 .329 .283 .376 .572 .100 .000 .006 .053 .379 r_peak,r_snr = 8.74081E-02 4.4594 Correlation Surface of oversamples image at 146 5846 .003 .013 .035 .138 .354 .648 .918 .886 .495 .033 .059 .112 .272 .513 .736 .844 .672 .287 .082 .129 .240 .475 .706 .767 .679 .431 .124 .149 .222 .420 .738 .901 .755 .510 .243 .034 .198 .285 .554 .927 1.000 .689 .346 .101 .001 .160 .239 .519 .896 .917 .538 .173 .011 .018 .119 .196 .469 .840 .860 .451 .086 .000 .029 146 -13.188 5846 -5.313 4.45940 .085541 1.142999 .251071 Correlation Surface at 346 5846 .769 .791 .662 .589 .633 .707 .682 .536 .430 .783 .791 .682 .675 .749 .794 .674 .524 .413 .697 .739 .731 .786 .861 .849 .667 .526 .361 .643 .695 .723 .825 .946 .870 .692 .545 .318 .711 .712 .700 .839 1.000 .905 .759 .559 .301 .862 .749 .704 .864 .997 .943 .807 .566 .322 .904 .695 .696 .840 .955 .942 .822 .558 .340 .747 .595 .673 .771 .868 .860 .778 .474 .297 .600 .580 .665 .661 .689 .748 .669 .374 .252 r_peak,r_snr = .3763647 2.35779 Correlation Surface of oversamples image at 346 5846 2.906 2.288 1.159 .557 .410 3.098 2.447 1.362 .804 .655 3.439 2.773 1.727 1.177 .965 3.801 3.158 2.144 1.541 1.200 4.000 3.418 2.443 1.751 1.268 3.840 3.344 2.447 1.697 1.155 3.289 2.884 2.106 1.402 .909 2.590 2.248 1.597 1.030 .636 2.099 1.797 1.269 .828 .510 346 -4.813 5846 5.625 2.35779 .025883 .439203 -.017026 Correlation Surface at 446 5846 .065 .160 .357 .396 .520 .494 .269 .240 .302 .236 .119 .162 .314 .562 .466 .244 .244 .185 .260 .043 .088 .403 .745 .433 .229 .241 .134 .112 .034 .131 .655 .944 .458 .366 .273 .122 .067 .073 .216 .871 1.000 .597 .529 .284 .109 .087 .113 .295 .895 .995 .681 .425 .271 .130 .087 .135 .336 .733 .893 .480 .197 .299 .198 .081 .145 .240 .529 .754 .223 .101 .323 .175 .105 .132 .160 .460 .630 .135 .095 .226 .051 r_peak,r_snr = .1410736 5.77194 Correlation Surface of oversamples image at 446 5846 .046 .110 .242 .453 .662 .722 .574 .368 .231 .059 .144 .315 .583 .813 .816 .606 .393 .274 .080 .186 .398 .711 .933 .879 .640 .441 .337 .105 .233 .481 .811 .999 .909 .677 .495 .391 .135 .287 .556 .861 1.000 .907 .701 .523 .396 .167 .341 .603 .845 .937 .863 .684 .488 .329 .201 .383 .602 .768 .831 .786 .615 .387 .217 .227 .388 .543 .652 .714 .693 .509 .262 .115 .221 .334 .431 .519 .601 .595 .393 .155 .049 446 .563 5846 5.219 5.77194 .063149 4.825493 -.056042 Correlation Surface at 546 5846 .120 .310 .562 .793 .832 .570 .364 .277 .178 .137 .295 .540 .808 .870 .598 .384 .268 .162 .165 .285 .514 .808 .904 .620 .381 .236 .135 .180 .273 .501 .843 .965 .662 .375 .208 .127 .169 .261 .518 .889 1.000 .679 .358 .194 .132 .148 .263 .539 .875 .956 .656 .343 .187 .127 .132 .272 .524 .806 .880 .636 .334 .178 .111 .126 .281 .515 .772 .848 .619 .323 .171 .107 .116 .279 .525 .782 .835 .590 .328 .186 .119 r_peak,r_snr = .5096259 3.92033 Correlation Surface of oversamples image at 546 5846 .430 .564 .701 .823 .907 .914 .818 .655 .501 .425 .566 .714 .848 .939 .945 .838 .666 .507 .421 .566 .724 .868 .965 .970 .854 .675 .514 .419 .568 .732 .883 .987 .990 .866 .682 .519 .418 .570 .737 .893 1.000 .999 .870 .686 .522 .418 .571 .737 .892 .998 .992 .861 .682 .520 .415 .565 .724 .875 .976 .966 .842 .675 .518 .407 .548 .699 .845 .939 .930 .821 .670 .520 .398 .529 .674 .814 .904 .900 .811 .677 .531 546 -.250 5846 -.219 3.92033 .004157 .084671 .002267 Correlation Surface at 646 5846 .297 .383 .585 .770 .832 .685 .454 .282 .179 .264 .356 .554 .772 .896 .689 .454 .274 .202 .253 .377 .561 .847 .933 .681 .437 .263 .209 .282 .412 .584 .932 .965 .675 .405 .240 .174 .311 .415 .594 .961 1.000 .680 .393 .226 .144 .281 .388 .583 .924 .986 .690 .402 .215 .138 .229 .377 .580 .872 .936 .692 .417 .211 .146 .228 .401 .604 .871 .910 .669 .421 .220 .157 .278 .426 .621 .898 .891 .624 .403 .228 .174 r_peak,r_snr = .4354266 3.8891 Correlation Surface of oversamples image at 646 5846 .503 .573 .676 .794 .858 .836 .790 .780 .776 .510 .587 .713 .848 .900 .850 .779 .747 .729 .521 .610 .757 .903 .944 .872 .774 .714 .682 .534 .635 .795 .944 .980 .895 .772 .686 .643 .541 .654 .816 .963 1.000 .908 .767 .663 .615 .545 .664 .821 .961 .999 .905 .755 .646 .604 .549 .669 .815 .942 .977 .883 .739 .640 .610 .555 .673 .803 .913 .939 .850 .722 .643 .630 .565 .678 .794 .885 .898 .815 .707 .652 .652 646 -.625 5846 .250 3.88910 .008768 .377730 -.007136 Correlation Surface at 746 5846 .042 .003 .127 .367 .596 .455 .353 .068 .027 .063 .008 .145 .307 .510 .506 .409 .037 .025 .089 .016 .166 .317 .645 .668 .381 .022 .008 .068 .030 .220 .435 .926 .836 .375 .027 .002 .022 .040 .253 .523 1.000 .850 .393 .034 .003 .030 .012 .186 .436 .810 .656 .253 .018 .005 .126 .002 .093 .330 .629 .403 .087 .014 .001 .199 .013 .073 .323 .621 .308 .032 .017 .000 .137 .007 .107 .385 .750 .372 .058 .023 .000 r_peak,r_snr = .1709471 8.48314 Correlation Surface of oversamples image at 746 5846 .109 .226 .342 .451 .539 .558 .509 .381 .190 .157 .291 .436 .584 .693 .693 .594 .404 .184 .219 .373 .552 .734 .848 .812 .647 .400 .171 .286 .458 .665 .863 .960 .879 .653 .374 .157 .343 .529 .752 .943 1.000 .866 .602 .328 .141 .375 .565 .784 .950 .959 .778 .508 .271 .120 .372 .553 .751 .882 .853 .651 .405 .214 .092 .337 .501 .676 .781 .723 .522 .312 .156 .061 .281 .428 .592 .686 .617 .424 .233 .099 .033 746 .375 5846 -3.375 8.48314 .031072 .174058 .017360 Correlation Surface at 846 5846 .311 .202 .039 .003 .262 .947 .355 .008 .000 .255 .066 .001 .014 .494 .866 .219 .011 .000 .149 .004 .023 .171 .546 .579 .112 .008 .007 .007 .002 .181 .495 .746 .489 .069 .009 .035 .004 .043 .366 .760 1.000 .390 .072 .047 .103 .012 .176 .400 .580 .604 .163 .091 .146 .137 .126 .269 .311 .168 .113 .051 .091 .175 .035 .217 .238 .187 .022 .046 .079 .113 .126 .010 .226 .130 .072 .045 .178 .172 .195 .128 .032 r_peak,r_snr = .1098541 7.57675 Correlation Surface of oversamples image at 846 5846 .001 .004 .039 .135 .326 .576 .727 .608 .354 .003 .043 .144 .295 .491 .685 .730 .535 .283 .029 .135 .317 .517 .694 .799 .714 .454 .215 .087 .265 .522 .756 .891 .876 .658 .359 .154 .167 .392 .692 .933 1.000 .849 .541 .255 .104 .241 .475 .767 .964 .938 .687 .379 .162 .071 .283 .486 .712 .810 .692 .434 .214 .091 .050 .300 .447 .562 .538 .380 .202 .097 .050 .042 .317 .395 .385 .276 .147 .067 .041 .035 .049 846 -.688 5846 -.813 7.57675 .044800 .081492 .022413 Correlation Surface at 946 5846 .425 .496 .655 .798 .830 .740 .596 .564 .595 .433 .476 .641 .796 .826 .733 .592 .560 .605 .438 .486 .660 .837 .876 .762 .608 .583 .632 .415 .480 .673 .904 .962 .810 .649 .628 .676 .365 .449 .673 .938 1.000 .850 .701 .669 .696 .333 .444 .664 .865 .934 .847 .726 .675 .658 .348 .478 .624 .735 .848 .822 .721 .642 .607 .396 .502 .596 .695 .824 .793 .704 .609 .595 .422 .495 .620 .754 .832 .776 .693 .587 .609 r_peak,r_snr = .5342307 1.87026 Correlation Surface of oversamples image at 946 5846 .551 .651 .749 .825 .866 .870 .832 .751 .650 .565 .673 .785 .873 .917 .917 .870 .782 .676 .567 .687 .817 .918 .966 .963 .913 .823 .715 .557 .691 .839 .949 .998 .994 .945 .861 .754 .544 .692 .846 .953 1.000 .997 .959 .885 .786 .539 .689 .833 .926 .967 .971 .950 .890 .805 .544 .681 .797 .869 .905 .922 .919 .876 .810 .555 .667 .750 .801 .834 .865 .879 .855 .808 .562 .646 .700 .737 .773 .815 .841 .832 .800 946 -.250 5846 -.219 1.87026 .012362 .043144 -.005645 Correlation Surface at 1046 5846 .047 .116 .028 .021 .088 .000 .149 .091 .000 .074 .160 .011 .011 .090 .013 .075 .076 .006 .116 .093 .000 .007 .308 .187 .013 .059 .003 .090 .015 .002 .037 .851 .481 .000 .044 .006 .025 .002 .005 .111 1.000 .472 .000 .015 .032 .005 .018 .000 .141 .552 .224 .001 .001 .055 .004 .011 .025 .086 .211 .048 .006 .016 .070 .000 .000 .027 .032 .086 .001 .006 .020 .074 .000 .000 .001 .028 .041 .001 .002 .012 .054 r_peak,r_snr = .1413752 22.01423 Correlation Surface of oversamples image at 1046 5846 .001 .003 .005 .090 .267 .312 .146 .016 .002 .012 .009 .008 .164 .477 .551 .275 .049 .000 .030 .012 .020 .281 .739 .802 .400 .082 .004 .048 .011 .042 .407 .947 .958 .468 .101 .007 .059 .006 .067 .480 1.000 .950 .450 .097 .006 .059 .002 .089 .483 .902 .811 .370 .074 .002 .044 .000 .111 .444 .739 .627 .270 .046 .000 .020 .008 .128 .384 .577 .458 .178 .020 .002 .002 .025 .133 .324 .448 .328 .107 .005 .006 1046 .219 5846 .313 22.01424 .008575 .052555 .006865 Correlation Surface at 1146 5846 .180 .042 .338 .362 .841 .143 .018 .074 .015 .042 .016 .131 .305 .594 .002 .103 .105 .128 .001 .005 .013 .247 .567 .022 .053 .134 .230 .022 .001 .001 .421 .878 .016 .002 .145 .095 .000 .017 .019 .819 1.000 .082 .001 .037 .000 .044 .088 .045 .715 .505 .000 .103 .015 .112 .110 .171 .002 .252 .106 .138 .234 .075 .250 .076 .209 .027 .032 .015 .085 .083 .041 .202 .033 .117 .030 .000 .033 .007 .002 .019 .062 r_peak,r_snr = 9.06614E-02 8.61527 Correlation Surface of oversamples image at 1146 5846 .006 .001 .008 .057 .155 .161 .028 .031 .135 .002 .001 .021 .133 .322 .334 .105 .001 .042 .002 .006 .072 .301 .595 .572 .232 .021 .000 .006 .030 .183 .543 .878 .761 .339 .069 .008 .016 .080 .318 .732 1.000 .777 .338 .072 .004 .025 .121 .372 .724 .872 .602 .216 .019 .010 .020 .104 .287 .524 .585 .341 .065 .008 .110 .003 .042 .139 .281 .309 .129 .000 .117 .297 .005 .002 .035 .117 .138 .028 .039 .265 .427 1146 -.469 5846 3.969 8.61527 .027104 .119381 .017121 Correlation Surface at 1246 5846 .021 .040 .144 .131 .001 .009 .011 .020 .033 .002 .024 .213 .142 .002 .017 .010 .019 .343 .008 .001 .137 .074 .078 .006 .024 .145 .274 .001 .000 .020 .075 .504 .173 .126 .065 .023 .122 .004 .000 .186 1.000 .426 .140 .002 .003 .182 .000 .000 .184 .809 .545 .046 .001 .022 .061 .000 .011 .039 .521 .441 .035 .022 .057 .012 .023 .042 .021 .600 .114 .410 .019 .084 .007 .057 .056 .104 .698 .001 .317 .011 .053 r_peak,r_snr = 8.21957E-02 9.66094 Correlation Surface of oversamples image at 1246 5846 .687 .382 .078 .206 1.232 2.511 1.783 .115 .422 1.153 .434 .076 .348 1.881 2.974 1.044 .157 2.022 1.533 .532 .174 .726 2.572 2.718 .214 1.442 4.346 1.813 .761 .519 1.490 3.294 2.234 .000 2.801 5.224 1246 -1.969 5846 .344 9.66094 .024499 .115240 -.007202 Correlation Surface at 1346 5846 .038 .005 .032 .000 .050 .051 .001 .095 .001 .033 .002 .062 .010 .119 .167 .000 .032 .071 .010 .006 .054 .006 .304 .179 .007 .000 .179 .006 .003 .012 .087 .591 .238 .000 .049 .125 .001 .002 .000 .212 1.000 .308 .029 .110 .043 .001 .000 .000 .323 .936 .254 .105 .113 .040 .040 .023 .011 .289 .484 .193 .173 .187 .045 .159 .072 .020 .082 .183 .217 .188 .260 .012 .170 .074 .056 .008 .075 .226 .197 .394 .013 r_peak,r_snr = 8.87806E-02 6.14025 Correlation Surface of oversamples image at 1346 5846 .058 .006 .010 .066 .224 .379 .213 .006 .035 .030 .001 .048 .176 .440 .582 .278 .017 .005 .009 .014 .117 .359 .728 .782 .333 .040 .003 .001 .036 .212 .585 .977 .858 .333 .061 .024 .001 .051 .300 .738 1.000 .722 .255 .061 .039 .004 .049 .327 .690 .748 .446 .141 .042 .037 .021 .033 .270 .463 .399 .200 .056 .022 .028 .062 .011 .147 .199 .136 .061 .018 .013 .023 .132 .000 .031 .030 .015 .010 .008 .012 .022 1346 .094 5846 .219 6.14025 .019663 .211082 .016977 Correlation Surface at 1446 5846 .007 .008 .016 .075 .182 .051 .039 .060 .156 .038 .009 .003 .040 .159 .068 .037 .018 .121 .075 .005 .005 .068 .318 .202 .047 .000 .067 .033 .000 .022 .165 .720 .354 .013 .012 .011 .000 .001 .046 .386 1.000 .205 .002 .027 .000 .029 .016 .038 .562 .710 .030 .013 .007 .007 .104 .065 .037 .490 .262 .000 .000 .019 .118 .119 .033 .124 .375 .101 .011 .031 .118 .232 .047 .005 .320 .353 .120 .078 .089 .159 .211 r_peak,r_snr = .1580999 9.80068 Correlation Surface of oversamples image at 1446 5846 .027 .053 .140 .255 .282 .199 .109 .062 .038 .035 .073 .177 .336 .416 .322 .173 .079 .029 .041 .092 .224 .464 .622 .492 .246 .088 .021 .041 .103 .278 .625 .852 .645 .286 .077 .012 .034 .106 .335 .771 1.000 .689 .256 .050 .005 .025 .113 .398 .857 .998 .598 .176 .023 .002 .018 .133 .460 .855 .856 .426 .093 .006 .000 .019 .170 .502 .764 .634 .250 .037 .001 .000 .031 .225 .512 .616 .411 .124 .012 .000 .002 1446 -.094 5846 -.188 9.80068 .010575 .059469 .015159 Correlation Surface at 1546 5846 .073 .149 .193 .274 .351 .321 .174 .096 .065 .089 .142 .179 .256 .395 .348 .174 .088 .068 .076 .097 .133 .239 .485 .420 .178 .094 .090 .044 .065 .114 .291 .732 .554 .183 .126 .114 .030 .065 .129 .428 1.000 .566 .186 .161 .110 .039 .086 .165 .529 .893 .402 .182 .149 .080 .066 .109 .212 .494 .566 .301 .190 .105 .061 .086 .138 .249 .388 .419 .348 .202 .086 .072 .090 .157 .228 .315 .454 .401 .191 .101 .093 r_peak,r_snr = .393447 10.21098 Correlation Surface of oversamples image at 1546 5846 .143 .151 .230 .390 .561 .620 .512 .334 .198 .122 .142 .245 .449 .666 .729 .578 .357 .202 .119 .154 .287 .540 .801 .844 .632 .369 .206 .130 .184 .351 .654 .931 .916 .639 .357 .208 .152 .227 .428 .760 1.000 .900 .586 .329 .211 .181 .277 .501 .817 .969 .794 .498 .298 .217 .213 .325 .549 .800 .845 .644 .413 .281 .228 .245 .364 .560 .716 .679 .508 .361 .285 .243 .277 .392 .538 .602 .534 .426 .355 .315 .261 1546 .094 5846 .031 10.21099 .002363 .012112 .001842 Correlation Surface at 1646 5846 .168 .084 .002 .002 .050 .079 .050 .047 .002 .156 .009 .019 .012 .017 .010 .000 .003 .028 .121 .004 .023 .001 .070 .008 .052 .032 .008 .119 .001 .002 .103 .488 .101 .009 .001 .007 .143 .048 .026 .322 1.000 .270 .071 .010 .055 .123 .067 .029 .506 .785 .304 .146 .003 .057 .046 .022 .042 .411 .302 .148 .018 .008 .002 .001 .003 .029 .162 .078 .008 .009 .029 .014 .000 .001 .001 .084 .020 .001 .024 .014 .000 r_peak,r_snr = .1235973 16.46971 Correlation Surface of oversamples image at 1646 5846 .002 .006 .049 .150 .244 .208 .036 .017 .047 .014 .036 .109 .252 .399 .313 .048 .015 .030 .056 .085 .172 .393 .642 .487 .102 .000 .000 .107 .114 .214 .542 .885 .650 .204 .061 .087 .129 .111 .237 .653 1.000 .715 .335 .254 .306 .120 .098 .255 .681 .908 .644 .441 .483 .492 .098 .091 .261 .580 .630 .451 .430 .554 .480 .083 .089 .225 .366 .301 .222 .297 .427 .308 .083 .083 .145 .154 .080 .062 .138 .230 .131 1646 .031 5846 .031 16.46972 .011297 .044278 .002620 Correlation Surface at 1746 5846 .422 .382 .101 .000 .001 .272 .083 .081 .063 .126 .044 .043 .037 .044 .301 .072 .087 .068 .036 .007 .187 .086 .204 .335 .195 .160 .006 .014 .077 .253 .236 .637 .536 .257 .071 .018 .001 .252 .414 .510 1.000 .316 .039 .000 .016 .016 .356 .422 .617 .581 .020 .001 .001 .001 .022 .209 .218 .447 .248 .029 .052 .002 .002 .037 .087 .145 .334 .349 .403 .296 .001 .013 .036 .066 .134 .258 .700 .819 .196 .023 .028 r_peak,r_snr = 8.84431E-02 9.86256 Correlation Surface of oversamples image at 1746 5846 .129 .252 .200 .137 .167 .261 .271 .199 .149 .325 .380 .270 .247 .371 .524 .489 .316 .197 .557 .456 .305 .363 .621 .814 .658 .324 .142 .716 .451 .317 .491 .865 .996 .643 .210 .046 .677 .364 .323 .620 1.000 .943 .451 .076 .001 .442 .231 .314 .688 .941 .698 .233 .011 .007 .190 .120 .290 .658 .755 .454 .112 .002 .005 .053 .061 .254 .551 .563 .316 .092 .016 .008 .009 .034 .192 .398 .408 .270 .143 .094 .087 1746 2.250 5846 11.375 9.86256 .051910 .116733 .050762 Correlation Surface at 1846 5846 .257 .398 .465 .463 .330 .289 .321 .380 .468 .376 .361 .390 .371 .374 .392 .270 .377 .569 .329 .299 .332 .396 .594 .577 .336 .464 .652 .220 .308 .362 .583 .886 .710 .409 .542 .659 .178 .377 .442 .789 1.000 .700 .467 .613 .653 .196 .445 .512 .884 .928 .683 .616 .687 .635 .268 .466 .552 .890 .794 .726 .810 .711 .576 .400 .466 .596 .816 .645 .658 .845 .666 .460 .498 .443 .591 .709 .496 .493 .736 .520 .319 r_peak,r_snr = .2313699 2.51341 Correlation Surface of oversamples image at 1846 5846 .337 .376 .472 .623 .748 .818 .818 .694 .523 .399 .486 .621 .769 .858 .892 .861 .718 .572 .466 .590 .752 .885 .936 .936 .877 .744 .651 .517 .656 .833 .956 .983 .951 .878 .788 .760 .544 .684 .868 .991 1.000 .939 .871 .847 .877 .552 .687 .875 .996 .984 .901 .860 .896 .954 .545 .678 .863 .967 .928 .836 .820 .883 .941 .531 .660 .829 .900 .831 .738 .729 .787 .840 .529 .655 .798 .829 .738 .645 .627 .669 .734 1846 8.219 5846 -.250 2.51341 .033410 .204010 .045575 Correlation Surface at 1946 5846 .045 .043 .125 .289 .379 .141 .092 .058 .000 .027 .050 .193 .354 .409 .187 .123 .050 .002 .029 .081 .281 .422 .591 .349 .126 .051 .012 .033 .118 .282 .469 .909 .486 .120 .081 .024 .045 .126 .209 .482 1.000 .421 .144 .116 .025 .065 .102 .139 .450 .773 .317 .166 .104 .019 .072 .075 .110 .413 .567 .294 .153 .077 .017 .057 .056 .131 .411 .511 .309 .173 .077 .011 .043 .061 .198 .427 .535 .368 .256 .088 .004 r_peak,r_snr = .3021732 10.80467 Correlation Surface of oversamples image at 1946 5846 .298 .364 .418 .485 .488 .378 .236 .153 .128 .360 .406 .462 .566 .615 .507 .315 .183 .130 .393 .424 .505 .674 .781 .653 .388 .204 .131 .387 .415 .538 .782 .929 .757 .426 .214 .139 .349 .386 .552 .852 1.000 .776 .423 .219 .158 .296 .348 .548 .864 .974 .721 .398 .230 .187 .248 .316 .535 .832 .888 .643 .381 .252 .219 .217 .300 .524 .781 .795 .586 .385 .280 .241 .205 .303 .522 .735 .728 .563 .403 .304 .251 1946 -.063 5846 -.313 10.80468 .003313 .030448 .001665 Correlation Surface at 2046 5846 .000 .005 .015 .070 .127 .103 .111 .055 .074 .001 .005 .007 .056 .103 .158 .093 .068 .126 .000 .003 .005 .076 .258 .341 .094 .083 .138 .000 .002 .012 .173 .746 .502 .111 .106 .129 .000 .003 .018 .302 1.000 .387 .121 .121 .125 .007 .003 .029 .288 .574 .191 .099 .101 .119 .012 .009 .049 .162 .212 .110 .056 .063 .093 .006 .018 .060 .089 .117 .093 .035 .041 .062 .000 .022 .057 .077 .103 .107 .061 .051 .045 r_peak,r_snr = .2698188 22.41917 Correlation Surface of oversamples image at 2046 5846 .060 .103 .137 .170 .245 .342 .335 .218 .137 .068 .118 .174 .272 .450 .575 .459 .253 .156 .069 .129 .226 .427 .723 .803 .534 .265 .172 .063 .135 .285 .595 .947 .904 .518 .250 .179 .054 .140 .336 .702 1.000 .823 .427 .218 .179 .048 .145 .359 .690 .856 .617 .309 .179 .166 .048 .151 .342 .569 .609 .397 .205 .140 .141 .057 .156 .296 .411 .385 .239 .137 .108 .110 .071 .156 .240 .281 .241 .152 .098 .082 .080 2046 .125 5846 -.219 22.41918 .003124 .010314 .001567 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .1725476 9.98888 146 -.094 3046 -.406 9.98888 .009944 .125417 .014816 r_peak,r_snr = .1547551 13.6619 246 .031 3046 -.125 13.66190 .012266 .033961 .006216 r_peak,r_snr = .2516231 6.19874 346 -.031 3046 .031 6.19874 .006930 .022065 .003290 r_peak,r_snr = .1318703 14.30673 446 .063 3046 1.063 14.30673 .063454 .289264 .110201 r_peak,r_snr = 8.61575E-02 8.41997 546 -.094 3046 5.750 8.41997 .029772 .106513 .015102 r_peak,r_snr = .2384093 24.25066 646 .031 3046 .094 24.25066 .003371 .023051 -.000609 r_peak,r_snr = .1712628 11.59712 746 -.125 3046 .000 11.59713 .010387 .092275 .006397 r_peak,r_snr = .1417394 9.54768 846 .313 3046 -.344 9.54768 .013839 .108927 .022335 r_peak,r_snr = .1012565 9.21302 946 -14.063 3046 11.906 9.21302 .072452 .147976 .027144 r_peak,r_snr = .1184663 16.92041 1046 .063 3046 -.094 16.92041 .008399 .040719 .006274 r_peak,r_snr = .1428199 12.97569 1146 .156 3046 -.500 12.97569 .007447 .064104 -.001751 r_peak,r_snr = .1403085 8.28096 1246 .531 3046 .406 8.28096 .036887 .205277 -.002491 r_peak,r_snr = .1713908 11.68942 1346 .406 3046 -.188 11.68942 .008543 .040142 .005528 r_peak,r_snr = .1999501 12.7717 1446 .125 3046 -.313 12.77171 .006360 .047063 .003510 r_peak,r_snr = .1698631 12.92346 1546 -.250 3046 .188 12.92346 .012238 .068443 .008531 r_peak,r_snr = .3193411 2.98456 1646 .031 3046 -.219 2.98456 .008455 .096393 .006216 r_peak,r_snr = .5124231 3.39028 1746 -.063 3046 .375 3.39028 .005813 .021194 .004780 r_peak,r_snr = .1053412 7.38284 1846 -14.906 3046 -9.188 7.38284 .029180 .106626 .028526 r_peak,r_snr = .1060664 11.14649 1946 3.563 3046 1.938 11.14649 .074802 .076543 .041439 r_peak,r_snr = .2383102 2.87961 2046 -.500 3046 4.063 2.87961 .033167 .096213 .026759 At line = 3400 Reading in data.... r_peak,r_snr = .3757342 13.52734 146 .125 3446 .156 13.52734 .003739 .017571 .002246 r_peak,r_snr = .300753 4.93995 246 .156 3446 -.094 4.93995 .009463 .017073 .002600 r_peak,r_snr = .1623415 17.66353 346 .094 3446 .781 17.66354 .010928 .099251 .002622 r_peak,r_snr = .18135 11.55922 446 -.031 3446 -6.781 11.55922 .007621 1.479723 .035491 r_peak,r_snr = .2115749 5.88338 546 -.156 3446 -.625 5.88338 .053834 .307933 .044120 r_peak,r_snr = .2393608 6.33762 646 -.094 3446 .281 6.33762 .007866 .031976 .003658 r_peak,r_snr = .2330377 10.33772 746 -.063 3446 -.844 10.33773 .005916 .131253 .007715 r_peak,r_snr = .2281176 14.35026 846 .031 3446 .375 14.35027 .006006 .099298 .013030 r_peak,r_snr = .1281326 9.18671 946 .125 3446 5.094 9.18671 .013696 .078607 .001567 r_peak,r_snr = .1260916 17.63666 1046 -1.719 3446 -2.750 17.63667 .013822 .082995 .019737 r_peak,r_snr = .1170466 12.01155 1146 .125 3446 -.500 12.01155 .008992 .202190 -.016536 r_peak,r_snr = .2122967 10.68445 1246 -.031 3446 .281 10.68445 .014770 .042983 .006795 r_peak,r_snr = .1977066 5.13518 1346 -.031 3446 -.375 5.13518 .018578 .060333 .005095 r_peak,r_snr = .1294573 4.3753 1446 .750 3446 7.313 4.37530 .021907 .232380 .011782 r_peak,r_snr = .1427116 9.68124 1546 .469 3446 -.406 9.68124 .038918 .098737 .042252 r_peak,r_snr = .1051491 7.28735 1646 .438 3446 -.094 7.28735 .035957 .224295 .031820 r_peak,r_snr = .3682805 4.66125 1746 -.031 3446 -.313 4.66125 .016100 .093687 .011766 r_peak,r_snr = .3141146 5.69729 1846 -.156 3446 -1.938 5.69729 .008320 .285801 .016893 r_peak,r_snr = .2262697 18.81196 1946 -.031 3446 -.125 18.81196 .004935 .026142 .001760 r_peak,r_snr = .2650914 4.66969 2046 .063 3446 .375 4.66969 .007216 .048889 .003273 At line = 3800 Reading in data.... r_peak,r_snr = .1937313 11.80672 146 .094 3846 -.188 11.80672 .009875 .040081 .002252 r_peak,r_snr = .1304763 6.27899 246 -1.250 3846 4.938 6.27899 .075187 .072221 .040160 r_peak,r_snr = .1523361 7.70695 346 -1.156 3846 13.438 7.70695 .084737 .314606 .085057 r_peak,r_snr = .2446384 13.88809 446 -.031 3846 .781 13.88810 .008694 .097631 .010845 r_peak,r_snr = .1767958 5.91542 546 -.250 3846 -.375 5.91542 .072654 .272841 -.109006 r_peak,r_snr = .3196679 6.76063 646 .125 3846 -.281 6.76063 .005409 .031522 -.000112 r_peak,r_snr = .1893755 6.16752 746 -.063 3846 5.219 6.16752 .029311 .178445 .013400 r_peak,r_snr = 8.97389E-02 8.71491 846 -.281 3846 .281 8.71491 .015750 .165931 .025201 r_peak,r_snr = .3239988 19.26202 946 -.375 3846 -.406 19.26202 .004013 .033322 -.002337 r_peak,r_snr = 9.05539E-02 5.66746 1046 7.625 3846 .313 5.66746 .366279 .709806 -.130769 r_peak,r_snr = .1388077 14.45071 1146 .125 3846 .188 14.45071 .012748 .023387 .005457 r_peak,r_snr = .2012584 3.99711 1246 -1.875 3846 12.781 3.99711 .098354 .150440 .024005 r_peak,r_snr = .1531347 2.50459 1346 .469 3846 4.969 2.50459 .144156 .171135 .026601 r_peak,r_snr = .1851907 12.43488 1446 .063 3846 .000 12.43488 .009597 .040081 .006279 r_peak,r_snr = .1518559 7.54955 1546 .125 3846 .094 7.54955 .008703 .062967 .004076 r_peak,r_snr = .1814522 4.74903 1646 .219 3846 -1.000 4.74903 .012886 .063733 .016115 r_peak,r_snr = 7.49359E-02 8.72539 1746 -10.250 3846 5.188 8.72539 .051372 .100625 .031965 r_peak,r_snr = .2990441 2.26135 1846 -1.625 3846 5.719 2.26135 .014105 .062051 .002794 r_peak,r_snr = 8.81180E-02 5.10259 1946 -4.281 3846 -16.781 5.10259 .114808 .439176 .147326 r_peak,r_snr = .1555086 13.01265 2046 .094 3846 3.875 13.01266 .010242 .032142 .003973 At line = 4200 Reading in data.... r_peak,r_snr = .2434257 8.62661 146 .063 4246 -.156 8.62661 .004516 .035522 -.001460 r_peak,r_snr = .2301108 4.80505 246 .250 4246 .375 4.80505 .008090 .070025 .011435 r_peak,r_snr = .1956925 10.94579 346 -.063 4246 -.031 10.94579 .010820 .016402 -.000036 r_peak,r_snr = .1321306 8.32153 446 -.281 4246 2.781 8.32153 .012723 .122904 .008325 r_peak,r_snr = .1935327 11.26083 546 -.500 4246 3.781 11.26083 .007566 .348747 .000864 r_peak,r_snr = .2529794 4.5136 646 .250 4246 -.656 4.51360 .005431 .037008 .003863 r_peak,r_snr = .1991262 15.72805 746 -.313 4246 -.188 15.72806 .010571 .071464 .007240 r_peak,r_snr = .1297136 14.26629 846 .250 4246 .344 14.26630 .013160 .075153 .005871 r_peak,r_snr = .1389382 13.05257 946 .375 4246 -.688 13.05258 .025787 .540410 .076586 r_peak,r_snr = 8.99269E-02 8.6782 1046 .250 4246 5.625 8.67820 .071822 .250418 -.020526 r_peak,r_snr = 9.20776E-02 7.31607 1146 -9.531 4246 .500 7.31607 .127280 .140925 .060900 r_peak,r_snr = .2894513 4.94214 1246 .563 4246 -.781 4.94214 .023349 .100391 .010323 r_peak,r_snr = .1602554 16.78317 1346 .188 4246 .094 16.78317 .010372 .047938 .006235 r_peak,r_snr = .1513881 8.19486 1446 -.125 4246 -.375 8.19486 .129249 .114175 .008958 r_peak,r_snr = .2538422 12.60244 1546 .031 4246 .156 12.60245 .004221 .037435 .002964 r_peak,r_snr = .1375107 11.94337 1646 1.125 4246 -10.906 11.94337 .011548 .136409 .020952 r_peak,r_snr = .1230141 4.38925 1746 .719 4246 16.719 4.38925 .032255 .301207 .056955 r_peak,r_snr = .1610118 6.95942 1846 -.281 4246 13.281 6.95942 .015940 .194638 .007015 r_peak,r_snr = 8.95468E-02 6.97264 1946 1.281 4246 1.156 6.97264 .071109 .069435 .044112 r_peak,r_snr = .1343057 16.53533 2046 -.094 4246 -.188 16.53534 .007876 .072616 .005417 At line = 4600 Reading in data.... r_peak,r_snr = .1793651 7.73297 146 -.188 4646 .719 7.73297 .009455 .143073 .009092 r_peak,r_snr = .1475763 13.65591 246 .344 4646 -.719 13.65592 .011162 .116716 .013116 r_peak,r_snr = .1988231 4.61279 346 -1.281 4646 -7.281 4.61279 .027161 .091279 .004653 r_peak,r_snr = .1938285 20.6978 446 .219 4646 -1.250 20.69780 .006396 .199797 .005186 r_peak,r_snr = .3371897 5.37927 546 .188 4646 -.313 5.37927 .007078 .054245 .001517 r_peak,r_snr = .339931 8.48484 646 -.031 4646 .313 8.48484 .005393 .032379 .004890 r_peak,r_snr = 9.89111E-02 8.29606 746 1.000 4646 -5.875 8.29606 .015803 .131557 .012361 r_peak,r_snr = .185388 6.15206 846 .000 4646 1.063 6.15206 .020834 .169279 .014305 r_peak,r_snr = .1652341 8.57104 946 -.375 4646 3.906 8.57104 .024228 .404357 .072292 r_peak,r_snr = .1531262 23.87242 1046 .125 4646 -.344 23.87243 .008155 .048764 .000864 r_peak,r_snr = .2359295 19.85457 1146 .125 4646 .094 19.85457 .004598 .035399 .003914 r_peak,r_snr = .1467285 5.31873 1246 -.125 4646 -.438 5.31873 .056890 .672434 .166501 r_peak,r_snr = .1327125 6.24675 1346 -.063 4646 -.531 6.24675 .037243 .178019 .027594 r_peak,r_snr = .1151082 10.34071 1446 -.344 4646 2.125 10.34072 .041237 .566882 .105015 r_peak,r_snr = .13004 7.23733 1546 -1.906 4646 4.719 7.23733 .046293 .317007 .045768 r_peak,r_snr = .1622638 6.03874 1646 -1.344 4646 .125 6.03874 .055596 .289600 .082343 r_peak,r_snr = .1691038 18.38933 1746 -.125 4646 .250 18.38934 .004856 .041368 .002252 r_peak,r_snr = .1606798 3.86199 1846 6.750 4646 -12.219 3.86199 .208660 .700264 .234102 r_peak,r_snr = 8.44050E-02 8.18494 1946 -10.688 4646 -8.375 8.18494 .044381 .136339 .048298 r_peak,r_snr = 9.13692E-02 13.10043 2046 .094 4646 .156 13.10043 .018453 .057353 .004706 At line = 5000 Reading in data.... r_peak,r_snr = .2213238 16.61218 146 .031 5046 .000 16.61219 .006540 .015108 .001789 r_peak,r_snr = .1428992 16.41958 246 -.281 5046 -.438 16.41958 .011446 .062208 .010958 r_peak,r_snr = 8.14331E-02 8.97934 346 .813 5046 11.906 8.97934 .135482 .125010 .031387 r_peak,r_snr = .1218165 4.47598 446 3.688 5046 8.188 4.47598 .050198 .260278 .062491 r_peak,r_snr = .1930069 13.43041 546 -.406 5046 -.219 13.43042 .013490 .258064 .007756 r_peak,r_snr = .3504745 13.36226 646 .000 5046 .375 13.36226 .003225 .058254 .001327 r_peak,r_snr = .1708801 14.87274 746 -.188 5046 .594 14.87274 .008992 .102918 .012039 r_peak,r_snr = .1489196 6.66341 846 -.156 5046 .750 6.66341 .027216 .070239 .006529 r_peak,r_snr = .238382 3.74284 946 -.219 5046 6.156 3.74284 .011562 .082551 -.001053 r_peak,r_snr = 8.40616E-02 9.55018 1046 .094 5046 4.844 9.55018 .052468 .132052 .008035 r_peak,r_snr = 9.78425E-02 8.0268 1146 .094 5046 -13.375 8.02680 .034330 .098970 .024866 r_peak,r_snr = .3831585 5.73903 1246 .250 5046 1.219 5.73903 .003919 1.872790 .012942 r_peak,r_snr = 9.12432E-02 12.20274 1346 2.469 5046 -14.125 12.20275 .099835 .213329 .106395 r_peak,r_snr = .1128663 8.62104 1446 -6.875 5046 6.656 8.62104 .009586 .051124 .006130 r_peak,r_snr = .1847121 6.01603 1546 .250 5046 -.250 6.01603 .008937 .197217 .007376 r_peak,r_snr = .2452333 19.49101 1646 .375 5046 .063 19.49101 .005125 .035724 -.000127 r_peak,r_snr = .1391818 11.52274 1746 -.156 5046 .375 11.52275 .011176 .043719 .007006 r_peak,r_snr = .1390043 9.19145 1846 .219 5046 -.500 9.19145 .012774 .075423 .008940 r_peak,r_snr = .1440536 8.26872 1946 -.063 5046 -7.281 8.26872 .020999 .808272 .020968 r_peak,r_snr = 7.89497E-02 6.10196 2046 14.500 5046 -10.719 6.10196 .091894 .390847 .119614 At line = 5400 Reading in data.... r_peak,r_snr = .1198338 9.071 146 -11.938 5446 12.250 9.07100 .107279 .110536 .030107 r_peak,r_snr = .1110513 15.30993 246 .219 5446 .344 15.30993 .012844 .034496 .002111 r_peak,r_snr = .2102586 4.77127 346 .000 5446 -.125 4.77127 .009083 .062143 -.000420 r_peak,r_snr = .1483176 4.31834 446 -.031 5446 -1.750 4.31834 .035475 .284413 -.027040 r_peak,r_snr = .4931337 3.59869 546 .031 5446 .219 3.59869 .003734 .054129 .001839 r_peak,r_snr = .4100035 5.78374 646 -.344 5446 1.781 5.78374 .004047 .100110 .008583 r_peak,r_snr = .1363894 11.82722 746 .156 5446 -.469 11.82723 .008967 .050609 .006148 r_peak,r_snr = 9.61337E-02 7.11614 846 -5.781 5446 -10.875 7.11614 .030958 .349314 .048663 r_peak,r_snr = .1837849 4.64974 946 .594 5446 13.594 4.64974 .047669 .176503 .066333 r_peak,r_snr = .1239706 7.72203 1046 -7.281 5446 11.938 7.72203 .033847 .124526 .041824 r_peak,r_snr = 7.40678E-02 11.64645 1146 -14.688 5446 14.156 11.64645 .043555 .192357 .026550 r_peak,r_snr = .1343573 7.40538 1246 1.063 5446 2.844 7.40538 .045117 .153695 -.027334 r_peak,r_snr = .1082759 12.79498 1346 -.219 5446 3.969 12.79498 .038702 .071331 -.001028 r_peak,r_snr = .1380327 4.96166 1446 .344 5446 -.813 4.96166 .207363 .111778 .105750 r_peak,r_snr = .2444935 6.92063 1546 .063 5446 .438 6.92063 .008713 .027213 .004084 r_peak,r_snr = .1193951 10.41488 1646 .000 5446 6.656 10.41488 .025629 .187223 .030726 r_peak,r_snr = 9.26137E-02 10.8145 1746 14.031 5446 -13.406 10.81451 .034686 .218429 .044133 r_peak,r_snr = .1448041 10.07571 1846 -.219 5446 5.563 10.07572 .022007 .252292 .040902 r_peak,r_snr = .3260794 3.24185 1946 -2.656 5446 4.781 3.24185 .009935 .033219 .009050 r_peak,r_snr = 8.78363E-02 7.28503 2046 -14.000 5446 5.781 7.28503 .104771 .062714 .006738 At line = 5800 Reading in data.... r_peak,r_snr = .1154947 12.72334 146 -.125 5846 -.094 12.72335 .016136 .109071 .019824 r_peak,r_snr = .2301641 19.40799 246 -.188 5846 -.063 19.40799 .003610 .021669 .001678 r_peak,r_snr = .3475629 3.84289 346 -.031 5846 .156 3.84289 .004806 .016888 .000264 r_peak,r_snr = .1719648 8.6076 446 -.156 5846 .656 8.60760 .012166 .094820 .003739 r_peak,r_snr = .4835681 4.31139 546 -.250 5846 -1.000 4.31139 .003784 .064860 .001050 r_peak,r_snr = .4606888 5.72632 646 .188 5846 .781 5.72632 .003436 .121973 .007352 r_peak,r_snr = .1974467 11.69075 746 -.063 5846 -.563 11.69075 .008592 .036442 .004247 r_peak,r_snr = 8.80092E-02 7.85897 846 .344 5846 -4.219 7.85897 .039276 .091942 .009585 r_peak,r_snr = .4912198 1.90339 946 -.250 5846 .531 1.90339 .014245 .537624 .034495 r_peak,r_snr = 9.21946E-02 7.3791 1046 -2.281 5846 -12.875 7.37910 .024778 .219266 .013386 r_peak,r_snr = .100097 14.77757 1146 -3.594 5846 -9.531 14.77757 .020176 .156018 -.005863 r_peak,r_snr = .1064177 6.65088 1246 .250 5846 -.594 6.65088 .466306 1.091712 -.509011 r_peak,r_snr = 8.38712E-02 5.74505 1346 -1.094 5846 17.375 5.74505 .020588 .406297 .016404 r_peak,r_snr = .1083703 7.63639 1446 -5.719 5846 1.063 7.63639 .091945 .506442 .178301 r_peak,r_snr = .2086367 6.51118 1546 -.125 5846 -1.500 6.51118 .037247 .332356 .023803 r_peak,r_snr = 7.50826E-02 6.5816 1646 2.531 5846 -9.531 6.58160 .156243 .181653 .135226 r_peak,r_snr = .1009066 9.54829 1746 9.469 5846 -1.406 9.54829 .057322 .101485 .051599 r_peak,r_snr = .2000708 3.52465 1846 .156 5846 -.406 3.52465 .011407 .078129 .013815 r_peak,r_snr = .2628353 14.76329 1946 -.094 5846 .000 14.76330 .004363 .025036 .001243 r_peak,r_snr = .1383263 10.30453 2046 .469 5846 .469 10.30453 .020194 .079492 .013121 ************************************************* ***** 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 94033 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 94033 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 94033 FOUND CALIB SET 94033 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: 13.89999 -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: 13.90 deg Receiver phase difference is -26.70 deg Transmitter phase difference is -12.80 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 Wed May 6 20:50:18 PDT 1998 Wed May 6 20:50:18 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: - - - - - - - - - - - - - - - - - - - - - Rolled out early due to autopilot problem -- will re-fly it; a lm air; using same RX gain and range gate as previous runs here f is about 1min off in lat and loneneralnrcast at CPA, very h zyobrick, Timothy William Millermothy 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: 94033 94033 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5284 prod ID1:*5284*5284* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94033 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 3.30 24 5 7 4 12 14 >> 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 = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 3.30 24 5 7 4 12 14 Done decoding data from header array... Data collected on ==> 11-JUN-1994 Starting and end GPS times for SAR data -175361538.0640 -175361488.5790 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 lati 53.89866 53.85412 53.94339 .0258101 0 loni -104.59653 -104.62297 -104.57027 .0152483 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7954.52979 7977.93018 7.0311796 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 19944 GPS time for first pulse = -175361538.062309 -175361538.064 GPS trend coefficients = 11.29828229684255 -19.5722586745192 -4.48008073919122 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00118 .00118 .00119 .0000015 0 va -.01173 -.23209 .18210 .0778745 0 ca -.00414 -.15948 .15591 .0403232 0 aa -.03780 -.09998 .02023 .0216372 0 hdg -21.78303 -21.88477 -21.63757 .0703770 0 trc -19.23325 -19.31396 -19.16565 .0464825 0 tgs 217.27163 216.64496 217.54524 .2670479 0 roll -1.36665 -1.59851 -.97778 .1526990 0 pitch .59824 .48889 .80200 .0946467 0 delx .25719 .25718 .25721 .0000120 0 lati 53.89866 53.85412 53.94304 .0258092 0 loni -104.59653 -104.62280 -104.57027 .0152478 0 latd 53.91715 53.87167 53.96167 .0258306 0 lond -104.55823 -104.58500 -104.53167 .0149011 0 balt 7936.85770 7933.94400 7939.12560 1.5741222 0 ralt 7507.50165 7492.59360 7519.11120 6.8552046 0 dpth .38172 .30000 .50000 .0697777 0 droll -1.38922 -1.60000 -1.00000 .1565028 0 thd 338.63406 338.50000 338.80000 .0908075 0 dad 2.53219 2.40000 2.70000 .0802042 0 latg 53.92487 53.87945 53.97014 .0259134 0 long -104.56055 -104.58714 -104.53393 .0152056 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 7965.84963 7964.24233 7968.05035 1.0432869 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 .00669 -.21266 .20231 .0786245 0 ca -.00325 -.15979 .15622 .0404518 0 aa -.03707 -.10017 .02027 .0216239 0 Average Barometric Altitude = 7936.857697500017 Average Radar Altitude = 7507.501653750039 Average GPS Altitude = 7965.849633026064 >>Record # : 64 >>GPS Stuff = 3.30 24 5 7 4 1 >>Record # : 40960 >>GPS Stuff = 3.30 24 5 7 4 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.446941071724495E-04 Standard deviation of difference = 7.050573044053900E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9016914 -104.5469360 7965.189 End position = 53.9479675 -104.5741043 7964.792 Loxodromic Heading (deg) = -19.1119199 Loxodromic Distance (km) = 5451.1592139 Geodesic Heading (deg) = -19.1009437 Geodesic Distance (km) = 5451.1591505 Peg latitude and longitude = 53.9257660 -104.5610962 Peg heading = -19.0658945 Rotation matrix First row = -.148039801 -.124105209 -.981163653 Second row = -.569919690 .821504978 -.017919793 Third row = .808254765 .556531642 -.192345436 Translation vector Vector = -1971.17712 -7588.58528 -23824.24747 Local Radius of Curvature = 6378814.405699334 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2616245587087205 Delta s on reference surface = .2616245599050372 Making fits... Vertical fit coefficients = 7966.556358552832 -6.956072162097371E-03 1.189821052051343E-03 Cross track fit coefficients = -5.05776324164515 5.659803640047484E-02 4.776805431252863E-04 Along track fit coefficients = -5390.0690037384 218.1703159889581 1.213324050638586E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3549.369570863321 Time orgin = -175361538.062309 Pulse spacing = .2571928285585597 First frame = 20894191 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/cm5284_p.par Enter the raw data file name. /data1/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5284_p.mocomph Enter a file name for the range spectrum: /data1/airops/db_p_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_hh.dat Enter histogram of the caltone phase file name: /data1/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): (-142.979,.0) (198.582,.0) (317.7313,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 153186.7 Pulse#/64: 65 1073 15492.23 Pulse#/64: 129 1073 154809.4 Pulse#/64: 193 1073 19679.05 Pulse#/64: 257 1073 47102.56 Estimate Caltone : 1156 -----CalTone Estimate Position --- CalTone Bin at : 1156 1073 CalTone Bin offset : -83 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.64236Power RMS: 3.33966 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 363.9141Amp. RMS: 123.4764 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 77.46447Phase RMS: 229.1675 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.01964 CalTone Power Coherently dB : 50.64236 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.01964 Incoherent PW - Coherent PW : 36.37728 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22333.44 CalTone Amplitude Coherently : 363.9141 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 21969.52 ------------ *** ------------ running time (sec): 68.58 ********** 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/cm5284_p.par Enter the raw data file name. /data1/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5284_p.mocompv Enter a file name for the range spectrum: /data1/airops/db_p_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_hv.dat Enter histogram of the caltone phase file name: /data1/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): (-63.6972,.0) (-127.394,.0) (23.88643,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 290090.3 Pulse#/64: 65 1073 237718.1 Pulse#/64: 129 1073 212444.6 Pulse#/64: 193 1073 347465.1 Pulse#/64: 257 1073 179674.4 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 52.90579Power RMS: 1.62553 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 447.6608Amp. RMS: 62.41168 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -37.2139Phase RMS: 232.9846 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.06214 CalTone Power Coherently dB : 52.90579 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.06214 Incoherent PW - Coherent PW : 36.15635 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28382.87 CalTone Amplitude Coherently : 447.6608 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 27935.21 ------------ *** ------------ running time (sec): 65.85 ********** 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/cm5284_p.par Enter the raw data file name. /data1/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5284_p.mocomph Enter a file name for the range spectrum: /data1/airops/db_p_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_vh.dat Enter histogram of the caltone phase file name: /data1/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): (-63.6972,.0) (-67.6782,.0) (39.81071,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 145352.0 Pulse#/64: 65 1073 118411.5 Pulse#/64: 129 1073 98741.71 Pulse#/64: 193 1073 132534.8 Pulse#/64: 257 1073 79096.96 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.85218Power RMS: 1.55058 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 354.3323Amp. RMS: 64.68342 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 64.33127Phase RMS: 229.9531 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.08709 CalTone Power Coherently dB : 50.85218 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.08709 Incoherent PW - Coherent PW : 36.23491 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22646.94 CalTone Amplitude Coherently : 354.3323 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22292.6 ------------ *** ------------ running time (sec): 65.86 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PVV Enter the paramater file name. /data3/airops/cm5284_p.par Enter the raw data file name. /data1/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5284_p.mocompv Enter a file name for the range spectrum: /data1/airops/db_p_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_vv.dat Enter histogram of the caltone phase file name: /data1/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): (79.43283,.0) (-15.8866,.0) (214.4686,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 386243.1 Pulse#/64: 65 1073 201997.8 Pulse#/64: 129 1073 212934.3 Pulse#/64: 193 1073 373972.8 Pulse#/64: 257 1073 244071.9 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.11452Power RMS: 2.47818 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 471.8074Amp. RMS: 146.8138 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 5.40551Phase RMS: 225.865 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.17179 CalTone Power Coherently dB : 53.11452 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.17179 Incoherent PW - Coherent PW : 36.05727 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28716.11 CalTone Amplitude Coherently : 471.8074 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28244.3 ------------ *** ------------ running time (sec): 66.75 ********** 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: -5.45813 1.79456E-04 z fit: constant and linear terms: -.707215 2.83652E-08 y and z standard deviations (meters) .7514399 .9815763 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 = -3.60817E-02 -3.70489E-02 -3.82543E-02 -3.72835E-02 Differences = 1.08541E-03 1.18222E-04 -1.08712E-03 -1.16397E-04 PATCH NUMER 2 First line = 3493 Averages = -3.82504E-02 -3.75620E-02 -3.63960E-02 -3.70446E-02 Differences = -9.37149E-04 -2.48745E-04 9.17252E-04 2.68690E-04 PATCH NUMER 3 First line = 6985 Averages = -3.66491E-02 -3.67686E-02 -3.67519E-02 -3.64794E-02 Differences = 1.31950E-05 -1.06338E-04 -8.96566E-05 1.82815E-04 PATCH NUMER 4 First line = 10477 Averages = -3.68828E-02 -3.68184E-02 -3.49354E-02 -3.32470E-02 Differences = -1.41178E-03 -1.34741E-03 5.35626E-04 2.22403E-03 PATCH NUMER 5 First line = 13969 Averages = -3.55812E-02 -3.35859E-02 -3.36175E-02 -3.47568E-02 Differences = -1.19580E-03 7.99529E-04 7.67887E-04 -3.71449E-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/cm5284_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) = 459.1 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_hh Name of the mocomp data file? /data3/airops/cm5284_p.mocomph Output file name? /data3/airops/cm5284_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 = 2.352 Processing 5 blocks Processing block number 1 reference line: 4096 2.352 seconds. Range compression done, time = 121.246 Motion comp. coeff. calculated, time = 121.312 Motion comp. added to patch, time = 213.476 Doppler estimation done, time = 213.497 Azimuth compression starting, time : 213.618 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 596.363 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 618.131 seconds. Range compression done, time = 725.219 Motion comp. coeff. calculated, time = 725.279 Motion comp. added to patch, time = 802.257 Doppler estimation done, time = 802.258 Azimuth compression starting, time : 802.372 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1184.376 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1203.640 seconds. Range compression done, time = 1311.209 Motion comp. coeff. calculated, time = 1311.472 Motion comp. added to patch, time = 1387.889 Doppler estimation done, time = 1387.889 Azimuth compression starting, time : 1388.035 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1769.382 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1789.584 seconds. Range compression done, time = 1897.868 Motion comp. coeff. calculated, time = 1898.029 Motion comp. added to patch, time = 1974.847 Doppler estimation done, time = 1974.848 Azimuth compression starting, time : 1974.990 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2355.533 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2375.626 seconds. Range compression done, time = 2482.811 Motion comp. coeff. calculated, time = 2482.957 Motion comp. added to patch, time = 2560.454 Doppler estimation done, time = 2560.454 Azimuth compression starting, time : 2560.584 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2942.885 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_p.hh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_hv Name of the mocomp data file? /data3/airops/cm5284_p.mocomph Output file name? /data3/airops/cm5284_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 = 2.342 Processing 5 blocks Processing block number 1 reference line: 4096 2.342 seconds. Range compression done, time = 114.299 Motion comp. coeff. calculated, time = 114.339 Motion comp. added to patch, time = 195.189 Doppler estimation done, time = 195.190 Azimuth compression starting, time : 195.310 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 581.857 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 603.178 seconds. Range compression done, time = 710.418 Motion comp. coeff. calculated, time = 710.458 Motion comp. added to patch, time = 788.185 Doppler estimation done, time = 788.185 Azimuth compression starting, time : 788.315 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1198.265 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1213.406 seconds. Range compression done, time = 1321.547 Motion comp. coeff. calculated, time = 1321.855 Motion comp. added to patch, time = 1413.463 Doppler estimation done, time = 1413.464 Azimuth compression starting, time : 1413.583 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1826.129 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1846.161 seconds. Range compression done, time = 1953.630 Motion comp. coeff. calculated, time = 1953.827 Motion comp. added to patch, time = 2031.376 Doppler estimation done, time = 2031.376 Azimuth compression starting, time : 2031.513 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2450.830 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2470.686 seconds. Range compression done, time = 2576.422 Motion comp. coeff. calculated, time = 2576.576 Motion comp. added to patch, time = 2653.575 Doppler estimation done, time = 2653.575 Azimuth compression starting, time : 2653.693 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3072.672 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_p.hv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_vh Name of the mocomp data file? /data3/airops/cm5284_p.mocompv Output file name? /data3/airops/cm5284_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 = 2.297 Processing 5 blocks Processing block number 1 reference line: 4096 2.297 seconds. Range compression done, time = 115.153 Motion comp. coeff. calculated, time = 115.194 Motion comp. added to patch, time = 196.471 Doppler estimation done, time = 196.471 Azimuth compression starting, time : 196.587 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 581.615 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 603.026 seconds. Range compression done, time = 709.830 Motion comp. coeff. calculated, time = 709.906 Motion comp. added to patch, time = 787.032 Doppler estimation done, time = 787.032 Azimuth compression starting, time : 787.161 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1195.893 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1211.370 seconds. Range compression done, time = 1319.356 Motion comp. coeff. calculated, time = 1319.731 Motion comp. added to patch, time = 1397.041 Doppler estimation done, time = 1397.042 Azimuth compression starting, time : 1397.168 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1812.506 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1832.872 seconds. Range compression done, time = 1939.599 Motion comp. coeff. calculated, time = 1939.799 Motion comp. added to patch, time = 2016.487 Doppler estimation done, time = 2016.487 Azimuth compression starting, time : 2016.625 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2434.297 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2454.073 seconds. Range compression done, time = 2559.826 Motion comp. coeff. calculated, time = 2560.000 Motion comp. added to patch, time = 2636.569 Doppler estimation done, time = 2636.569 Azimuth compression starting, time : 2636.687 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3057.602 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_p.vh Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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/cm5284_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) = 459.1 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_vv Name of the mocomp data file? /data3/airops/cm5284_p.mocompv Output file name? /data3/airops/cm5284_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 = 2.356 Processing 5 blocks Processing block number 1 reference line: 4096 2.356 seconds. Range compression done, time = 114.731 Motion comp. coeff. calculated, time = 114.777 Motion comp. added to patch, time = 194.578 Doppler estimation done, time = 194.579 Azimuth compression starting, time : 194.696 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 618.524 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 640.018 seconds. Range compression done, time = 746.758 Motion comp. coeff. calculated, time = 746.831 Motion comp. added to patch, time = 824.242 Doppler estimation done, time = 824.243 Azimuth compression starting, time : 824.367 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1280.645 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1297.167 seconds. Range compression done, time = 1414.718 Motion comp. coeff. calculated, time = 1415.462 Motion comp. added to patch, time = 1505.504 Doppler estimation done, time = 1505.504 Azimuth compression starting, time : 1505.632 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1961.858 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1982.166 seconds. Range compression done, time = 2089.127 Motion comp. coeff. calculated, time = 2089.319 Motion comp. added to patch, time = 2166.925 Doppler estimation done, time = 2166.926 Azimuth compression starting, time : 2167.062 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2630.074 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2650.164 seconds. Range compression done, time = 2757.417 Motion comp. coeff. calculated, time = 2757.678 Motion comp. added to patch, time = 2834.989 Doppler estimation done, time = 2834.990 Azimuth compression starting, time : 2835.108 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3298.015 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5284_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/cm5284_p.vv Name of the doppler parameter file? /data3/airops/cm5284_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/cm5284_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 = 1000 1001 3097 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3096 Processing block number 2 3097 4455 -38 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4454 4455 6551 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6550 Processing block number 3 6551 7982 35 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7981 7982 10078 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10077 Processing block number 4 10078 11494 20 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11493 11494 13590 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13589 Processing block number 5 1302 1000 -17 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13589 1302 3096 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15383 Writing the last 4310 lines Total # of output lines = 19693 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: 1094 *************************************** ***** ***** ***** 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 94033 writing parheadP writing parhead 20.0 writing parhead 89.09999 writing parhead 87.09999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01722 27.6889 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 18901 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .090 .077 .246 .435 .530 .669 .707 .412 .065 .088 .084 .302 .530 .656 .774 .754 .413 .051 .085 .094 .355 .632 .810 .892 .737 .347 .026 .078 .100 .379 .702 .943 .976 .650 .248 .006 .066 .095 .363 .709 1.000 .985 .528 .157 .000 .048 .081 .316 .653 .946 .911 .412 .099 .002 .029 .061 .263 .561 .791 .778 .324 .073 .003 .014 .045 .223 .464 .599 .635 .271 .071 .001 .007 .040 .208 .384 .444 .527 .249 .090 .000 r_peak,r_snr = .2512369 5.85034 Correlation Surface of oversamples image at 146 3046 .524 .573 .611 .708 .852 .936 .853 .666 .494 .552 .610 .663 .769 .904 .960 .846 .641 .462 .567 .636 .709 .825 .948 .970 .825 .603 .420 .569 .651 .744 .872 .982 .970 .795 .563 .377 .557 .652 .766 .905 1.000 .956 .758 .520 .336 .534 .638 .768 .913 .994 .924 .710 .474 .295 .504 .612 .752 .899 .967 .878 .656 .428 .257 .478 .587 .728 .872 .931 .832 .611 .392 .230 .457 .561 .696 .833 .886 .786 .570 .363 .211 146 -.375 3046 -3.969 5.85034 .048355 .370200 .003012 Correlation Surface at 246 3046 .068 .106 .434 .874 .769 .367 .087 .003 .005 .083 .106 .384 .880 .877 .449 .076 .000 .009 .101 .100 .327 .849 .958 .525 .076 .000 .009 .114 .088 .269 .781 1.000 .573 .080 .001 .006 .117 .075 .222 .691 1.000 .575 .080 .003 .004 .110 .068 .189 .602 .971 .535 .074 .004 .002 .096 .069 .174 .529 .928 .471 .062 .004 .002 .080 .080 .176 .480 .884 .408 .053 .005 .002 .064 .099 .190 .450 .842 .364 .052 .005 .002 r_peak,r_snr = .3153507 8.24164 Correlation Surface of oversamples image at 246 3046 .263 .518 .784 .944 .958 .790 .501 .234 .064 .243 .490 .756 .931 .974 .823 .527 .243 .065 .225 .462 .723 .913 .983 .849 .547 .248 .066 .212 .437 .692 .897 .993 .871 .561 .253 .069 .202 .413 .662 .882 1.000 .886 .569 .254 .071 .191 .387 .629 .863 1.000 .889 .566 .249 .071 .180 .361 .597 .845 .995 .883 .553 .240 .070 .172 .341 .574 .835 .996 .877 .541 .232 .070 .165 .322 .554 .829 .996 .868 .526 .224 .071 246 .063 3046 -3.688 8.24164 .014321 3.145345 -.161758 Correlation Surface at 346 3046 .519 .374 .435 .723 .865 .830 .792 .672 .723 .570 .424 .483 .793 .929 .872 .805 .706 .765 .623 .476 .520 .845 .972 .913 .816 .742 .800 .654 .514 .542 .869 .995 .949 .831 .762 .805 .654 .531 .550 .865 1.000 .975 .841 .745 .766 .633 .532 .549 .842 .989 .984 .835 .691 .696 .612 .526 .543 .809 .963 .969 .803 .617 .617 .605 .520 .534 .773 .924 .927 .752 .548 .548 .611 .512 .521 .738 .875 .868 .703 .500 .505 r_peak,r_snr = .4263428 1.96733 Correlation Surface of oversamples image at 346 3046 .424 .528 .724 .911 .944 .803 .628 .539 .530 .438 .549 .752 .941 .968 .825 .651 .561 .548 .449 .567 .777 .964 .985 .843 .675 .584 .565 .456 .584 .800 .982 .996 .857 .698 .609 .582 .459 .598 .820 .995 1.000 .865 .716 .629 .594 .458 .608 .833 .999 .995 .866 .727 .641 .596 .456 .614 .839 .994 .981 .857 .729 .644 .588 .454 .619 .840 .983 .963 .845 .724 .639 .574 .453 .623 .838 .967 .939 .824 .711 .625 .553 346 -.250 3046 1.219 1.96733 .091343 4.549079 -.482980 Correlation Surface at 446 3046 .169 .342 .438 .355 .581 .300 .053 .051 .047 .168 .397 .542 .526 .733 .328 .075 .065 .044 .162 .423 .619 .712 .890 .365 .106 .091 .053 .151 .409 .644 .855 .995 .392 .126 .118 .074 .137 .367 .629 .913 1.000 .388 .123 .131 .102 .122 .319 .595 .888 .902 .348 .097 .124 .130 .109 .283 .561 .816 .750 .283 .066 .105 .145 .104 .269 .537 .741 .602 .216 .043 .081 .139 .110 .279 .525 .685 .487 .157 .031 .061 .120 r_peak,r_snr = .2240533 5.05158 Correlation Surface of oversamples image at 446 3046 .747 .888 .834 .769 .809 .816 .579 .245 .072 .751 .896 .868 .834 .886 .871 .605 .261 .083 .742 .891 .894 .890 .952 .917 .628 .280 .096 .717 .872 .903 .927 .994 .940 .637 .293 .106 .675 .833 .890 .934 1.000 .928 .623 .292 .108 .628 .790 .866 .923 .982 .894 .594 .282 .102 .589 .758 .849 .911 .958 .856 .564 .270 .095 .555 .728 .827 .886 .916 .802 .522 .249 .084 .511 .685 .785 .834 .844 .719 .456 .210 .063 446 -11.375 3046 7.250 5.05158 .012969 .563357 .020046 Correlation Surface at 546 3046 .080 .027 .000 .065 .374 .086 .003 .008 .022 .093 .033 .000 .111 .545 .125 .001 .014 .025 .105 .039 .001 .174 .748 .166 .000 .020 .029 .116 .044 .001 .242 .924 .203 .000 .021 .032 .122 .049 .001 .292 1.000 .224 .000 .015 .031 .108 .049 .000 .296 .921 .222 .000 .007 .024 .068 .035 .000 .245 .703 .194 .001 .001 .013 .024 .012 .001 .159 .446 .152 .003 .000 .002 .001 .000 .006 .080 .244 .111 .006 .005 .001 r_peak,r_snr = .1662179 16.08972 Correlation Surface of oversamples image at 546 3046 .004 .006 .133 .448 .782 .826 .533 .190 .015 .005 .006 .147 .499 .859 .888 .570 .212 .022 .006 .006 .159 .546 .924 .932 .596 .230 .028 .007 .006 .171 .589 .971 .956 .611 .244 .035 .008 .007 .187 .627 1.000 .963 .621 .261 .045 .009 .009 .201 .649 .999 .947 .621 .276 .056 .011 .009 .204 .638 .953 .895 .600 .281 .065 .012 .009 .201 .602 .874 .818 .566 .282 .074 .012 .011 .199 .561 .787 .738 .536 .289 .088 546 3.188 3046 6.719 16.08973 .005685 .518512 .004388 Correlation Surface at 646 3046 .064 .095 .153 .471 .716 .562 .297 .200 .233 .074 .078 .117 .507 .833 .599 .316 .194 .223 .102 .080 .115 .587 .940 .618 .318 .181 .209 .139 .092 .137 .681 .999 .616 .310 .170 .195 .176 .109 .172 .758 1.000 .598 .303 .169 .183 .207 .125 .210 .796 .957 .580 .303 .176 .173 .227 .140 .240 .795 .902 .576 .312 .190 .166 .237 .155 .264 .770 .855 .585 .323 .200 .157 .241 .172 .290 .746 .828 .597 .324 .198 .145 r_peak,r_snr = .2995924 3.73003 Correlation Surface of oversamples image at 646 3046 .062 .127 .356 .721 .960 .906 .693 .478 .302 .068 .146 .396 .767 .985 .903 .686 .480 .310 .075 .167 .434 .805 .997 .893 .674 .477 .315 .084 .188 .470 .835 1.000 .879 .662 .472 .316 .096 .213 .506 .860 1.000 .869 .657 .472 .318 .110 .238 .537 .877 .995 .861 .656 .474 .319 .122 .258 .556 .875 .975 .845 .650 .469 .312 .133 .273 .563 .859 .943 .822 .638 .458 .299 .154 .298 .582 .857 .929 .817 .645 .463 .298 646 -.563 3046 1.750 3.73003 .015477 1.557295 .104500 Correlation Surface at 746 3046 .045 .007 .086 .314 .630 .358 .081 .100 .379 .028 .016 .109 .401 .772 .410 .080 .110 .395 .010 .027 .135 .493 .891 .422 .066 .103 .352 .001 .034 .151 .578 .970 .393 .047 .083 .270 .000 .029 .148 .638 1.000 .336 .030 .058 .182 .000 .015 .124 .656 .982 .272 .019 .035 .112 .000 .003 .088 .625 .931 .224 .014 .020 .071 .001 .000 .051 .558 .870 .202 .012 .011 .057 .003 .004 .023 .475 .808 .207 .016 .009 .063 r_peak,r_snr = .2967298 8.85273 Correlation Surface of oversamples image at 746 3046 .123 .241 .467 .742 .869 .747 .487 .260 .139 .135 .263 .509 .801 .927 .782 .494 .250 .128 .143 .282 .546 .851 .971 .800 .484 .230 .111 .145 .294 .572 .885 .994 .797 .458 .201 .089 .141 .298 .587 .904 1.000 .777 .421 .167 .066 .132 .296 .595 .912 .995 .747 .379 .134 .046 .117 .286 .591 .909 .978 .710 .335 .105 .031 .098 .267 .574 .889 .946 .662 .291 .079 .018 .079 .243 .548 .859 .906 .612 .250 .059 .010 746 -.125 3046 -4.750 8.85273 .009719 1.455691 .094147 Correlation Surface at 846 3046 .065 .076 .130 .264 .501 .786 .867 .770 .476 .052 .077 .159 .313 .651 .877 .889 .822 .494 .044 .094 .212 .397 .810 .926 .885 .864 .505 .040 .130 .275 .497 .938 .925 .857 .886 .512 .040 .181 .334 .587 1.000 .887 .821 .878 .512 .041 .233 .374 .646 .988 .835 .787 .840 .502 .044 .271 .388 .670 .926 .791 .755 .789 .483 .052 .290 .382 .667 .848 .766 .722 .744 .459 .066 .287 .366 .655 .790 .764 .695 .719 .440 r_peak,r_snr = .235091 3.82778 Correlation Surface of oversamples image at 846 3046 .493 .599 .754 .910 .976 .938 .833 .698 .538 .649 .792 .931 .990 .958 .862 .728 .596 .704 .830 .949 1.000 .976 .894 .762 .662 .765 .868 .962 1.000 .982 .915 .790 .730 .821 .900 .966 .988 .976 .925 .810 .793 .868 .920 .960 .966 .958 .924 .822 .848 .903 .930 .946 .938 .935 .916 .827 846 -.094 3046 4.250 3.82778 .044931 1.277407 .177362 Correlation Surface at 946 3046 .599 .391 .037 .293 .739 .135 .109 .194 .165 .547 .266 .003 .373 .925 .170 .213 .208 .115 .464 .172 .001 .472 1.000 .188 .293 .192 .069 .363 .117 .003 .566 .925 .179 .307 .153 .043 .260 .094 .000 .632 .733 .144 .251 .106 .036 .171 .086 .013 .632 .493 .095 .168 .071 .043 .098 .078 .046 .560 .279 .052 .104 .057 .061 r_peak,r_snr = .151388 6.96297 Correlation Surface of oversamples image at 946 3046 .753 .910 .618 .320 .188 .147 .800 .955 .641 .319 .177 .143 .832 .981 .643 .299 .154 .134 .862 1.000 .634 .271 .130 .126 .872 .994 .602 .233 .102 .117 .855 .957 .550 .186 .074 .108 .810 .893 .483 .141 .050 .101 .750 .815 .416 .103 .034 .099 946 -5.719 3046 -15.750 6.96297 .009220 .715034 .028876 Correlation Surface at 1046 3046 .004 .033 .105 .228 .669 .782 .274 .186 .233 .002 .024 .136 .375 .855 .826 .306 .230 .223 .002 .014 .144 .532 .972 .763 .318 .253 .216 .004 .006 .132 .658 1.000 .648 .325 .261 .221 .008 .002 .118 .736 .953 .544 .342 .263 .237 .011 .001 .118 .773 .862 .480 .369 .269 .260 .012 .001 .138 .774 .765 .464 .396 .281 .287 .010 .007 .177 .737 .671 .473 .405 .302 .312 r_peak,r_snr = .1842349 6.81296 Correlation Surface of oversamples image at 1046 3046 .055 .135 .291 .505 .764 .940 .912 .704 .440 .061 .163 .363 .617 .865 .971 .875 .647 .402 .062 .182 .425 .713 .938 .966 .808 .571 .355 .060 .192 .469 .787 .983 .934 .724 .489 .306 .055 .192 .494 .835 1.000 .883 .635 .410 .261 .047 .184 .501 .855 .989 .817 .546 .337 .220 .038 .172 .495 .855 .960 .748 .467 .278 .188 .033 .163 .489 .849 .930 .692 .410 .238 .169 .030 .157 .482 .835 .898 .648 .371 .215 .161 1046 -3.500 3046 -11.813 6.81296 .142900 3.605253 .661811 Correlation Surface at 1246 3046 .235 .412 .581 .746 .815 .616 .356 .239 .180 .203 .379 .556 .740 .858 .649 .373 .261 .210 .175 .345 .540 .768 .918 .669 .387 .289 .242 .155 .310 .527 .823 .974 .666 .392 .314 .264 .143 .272 .508 .885 1.000 .634 .388 .333 .269 .138 .232 .478 .928 .980 .581 .382 .348 .259 .137 .194 .437 .933 .916 .520 .384 .371 .245 .141 .165 .387 .893 .826 .469 .400 .409 .234 .149 .150 .338 .814 .731 .437 .430 .458 .232 r_peak,r_snr = .3601399 3.9171 Correlation Surface of oversamples image at 1246 3046 .435 .536 .669 .821 .924 .916 .793 .619 .473 .406 .524 .685 .858 .960 .930 .787 .608 .467 .374 .506 .692 .885 .985 .935 .776 .597 .463 .339 .482 .689 .898 .996 .930 .762 .587 .462 .306 .455 .679 .903 1.000 .923 .752 .583 .468 .276 .427 .661 .897 .994 .912 .742 .581 .478 .244 .391 .628 .867 .964 .883 .720 .573 .483 .213 .352 .582 .818 .915 .839 .690 .558 .484 .198 .327 .550 .783 .882 .814 .677 .560 .499 1246 .500 3046 -5.250 3.91710 .021091 .974565 .109374 Correlation Surface at 1346 3046 .444 .502 .524 .619 .764 .708 .453 .294 .354 .459 .540 .568 .690 .861 .746 .467 .323 .398 .464 .562 .595 .751 .944 .764 .481 .367 .453 .453 .555 .603 .800 .993 .752 .491 .415 .503 .430 .523 .598 .834 1.000 .711 .495 .452 .532 .405 .481 .586 .853 .975 .656 .491 .468 .535 .391 .441 .571 .859 .927 .600 .482 .456 .509 .395 .409 .556 .850 .863 .552 .467 .423 .467 .418 .390 .546 .834 .801 .519 .454 .389 .426 r_peak,r_snr = .4203345 2.44987 Correlation Surface of oversamples image at 1346 3046 .478 .552 .685 .833 .907 .853 .705 .535 .400 .498 .581 .725 .880 .946 .876 .716 .544 .412 .510 .603 .758 .918 .975 .887 .717 .545 .421 .516 .620 .786 .948 .991 .886 .709 .539 .425 .521 .636 .813 .972 1.000 .878 .693 .528 .426 .524 .649 .833 .987 .996 .858 .669 .512 .424 .522 .656 .843 .985 .975 .823 .634 .488 .415 .518 .658 .842 .969 .938 .776 .590 .458 .401 .516 .660 .838 .946 .893 .725 .545 .429 .386 1346 -.219 3046 -6.188 2.44987 .017137 1.191984 .111868 Correlation Surface at 1446 3046 .222 .486 .489 .644 .791 .718 .515 .472 .251 .260 .556 .491 .670 .873 .843 .570 .455 .198 .291 .600 .488 .683 .945 .945 .606 .440 .163 .313 .608 .475 .684 .989 .993 .623 .430 .152 .327 .574 .453 .687 1.000 .977 .624 .426 .161 .335 .508 .437 .703 .975 .910 .616 .428 .188 .339 .434 .440 .728 .914 .816 .607 .437 .226 .333 .370 .464 .765 .838 .725 .596 .448 .268 .307 .317 .500 .804 .773 .670 .588 .453 .311 r_peak,r_snr = .2584418 3.16088 Correlation Surface of oversamples image at 1446 3046 .442 .573 .743 .864 .906 .847 .697 .537 .464 .441 .581 .763 .899 .949 .881 .715 .545 .466 .435 .581 .775 .926 .982 .904 .722 .547 .461 .423 .572 .778 .939 .998 .909 .715 .541 .451 .410 .563 .778 .945 1.000 .900 .702 .531 .438 .400 .557 .779 .946 .992 .884 .687 .523 .425 .392 .552 .777 .936 .968 .854 .667 .513 .412 .380 .543 .765 .911 .924 .809 .639 .499 .395 .371 .536 .751 .878 .872 .761 .613 .485 .379 1446 .406 3046 6.219 3.16088 .061096 3.506382 .286024 Correlation Surface at 1546 3046 .075 .087 .136 .512 .776 .522 .237 .104 .031 .085 .090 .134 .603 .857 .496 .236 .111 .035 .085 .085 .136 .692 .933 .489 .234 .108 .036 .072 .074 .136 .741 .987 .500 .229 .100 .037 .055 .061 .133 .726 1.000 .520 .221 .093 .043 .041 .052 .128 .652 .965 .531 .214 .093 .060 .037 .052 .130 .557 .895 .518 .212 .103 .087 .045 .065 .147 .483 .821 .487 .217 .125 .121 .065 .095 .181 .446 .759 .451 .229 .155 .153 r_peak,r_snr = .3074124 7.00415 Correlation Surface of oversamples image at 1546 3046 .150 .278 .509 .785 .932 .867 .663 .455 .306 .140 .273 .517 .810 .964 .888 .669 .459 .312 .127 .263 .516 .823 .988 .905 .675 .461 .315 .113 .248 .504 .821 .999 .914 .675 .456 .311 .099 .229 .484 .807 1.000 .919 .673 .447 .301 .087 .211 .460 .786 .994 .922 .671 .438 .288 .078 .194 .433 .757 .978 .919 .667 .426 .275 .071 .177 .401 .717 .949 .904 .654 .409 .257 .068 .164 .372 .676 .913 .881 .635 .389 .239 1546 .094 3046 4.219 7.00415 .008439 1.158833 -.053491 Correlation Surface at 1646 3046 .636 .651 .613 .739 .893 .923 .787 .573 .602 .616 .657 .670 .801 .926 .917 .755 .562 .623 .599 .669 .733 .852 .957 .916 .730 .573 .659 .585 .673 .781 .880 .984 .921 .720 .602 .693 .573 .658 .791 .879 1.000 .930 .730 .639 .711 .561 .625 .759 .852 .996 .938 .758 .678 .708 .550 .583 .699 .807 .972 .944 .799 .711 .684 .542 .544 .634 .758 .932 .946 .841 .728 .647 .538 .519 .585 .715 .883 .941 .871 .724 .606 r_peak,r_snr = .5191442 1.67534 Correlation Surface of oversamples image at 1646 3046 .709 .746 .799 .890 .970 .973 .904 .814 .725 .740 .777 .824 .910 .984 .982 .908 .818 .733 .764 .802 .844 .924 .994 .989 .913 .825 .744 .781 .818 .857 .933 1.000 .994 .919 .835 .759 .785 .824 .861 .934 1.000 .995 .925 .847 .775 .777 .817 .856 .927 .993 .993 .931 .861 .793 .761 .802 .843 .914 .982 .989 .939 .880 .815 .737 .779 .824 .896 .966 .983 .949 .901 .839 .703 .746 .794 .867 .941 .970 .954 .919 .859 1646 .219 3046 2.281 1.67534 .020841 1.211571 -.080690 Correlation Surface at 1746 3046 .670 .772 .850 .867 .916 .846 .770 .589 .487 .657 .738 .833 .895 .947 .853 .743 .568 .493 .651 .710 .832 .936 .977 .864 .722 .559 .505 .657 .695 .841 .974 .997 .875 .708 .559 .518 .671 .691 .853 .988 1.000 .885 .704 .564 .525 r_peak,r_snr = .6719143 1.8289 Correlation Surface of oversamples image at 1746 3046 .734 .792 .848 .900 .933 .918 .869 .814 .758 .729 .793 .861 .924 .959 .942 .890 .828 .759 .723 .794 .875 .946 .981 .960 .908 .841 .761 .718 .796 .886 .963 .994 .972 .921 .851 .763 .715 .798 .896 .974 1.000 .977 .930 .860 .767 .713 .800 .902 .976 .997 .976 .936 .867 .771 .711 .800 .901 .967 .983 .968 .936 .872 .776 .708 .797 .891 .947 .960 .954 .932 .874 .779 .707 .792 .877 .920 .932 .937 .926 .875 .784 1746 -.656 3046 13.781 1.82890 .011924 .489598 -.026693 Correlation Surface at 1846 3046 .608 .751 .863 .881 .810 .699 .425 .506 .535 .586 .745 .898 .927 .876 .723 .402 .487 .523 .583 .748 .919 .957 .940 .745 .388 .464 .521 .592 .749 .921 .978 .988 .758 .378 .435 .519 .596 .730 .903 .990 1.000 .749 .369 .405 .502 .581 .685 .875 .988 .970 .723 .370 .386 .470 .550 .619 .834 .966 .907 .691 .389 .386 .433 .513 .547 .776 .913 .826 .663 .427 .408 .404 .482 .487 .707 .838 .744 .645 .474 .448 .394 r_peak,r_snr = .3699624 1.92111 Correlation Surface of oversamples image at 1846 3046 .656 .760 .845 .893 .903 .862 .786 .690 .559 .678 .794 .885 .937 .944 .894 .810 .708 .567 .694 .818 .913 .968 .974 .918 .830 .726 .575 .703 .831 .929 .987 .994 .933 .847 .744 .585 .704 .833 .931 .993 1.000 .939 .858 .760 .597 .695 .821 .918 .982 .990 .931 .860 .771 .607 .674 .794 .889 .955 .963 .909 .850 .775 .614 .643 .754 .847 .914 .923 .875 .831 .771 .619 .608 .711 .802 .868 .876 .835 .808 .765 .624 1846 -2.094 3046 2.250 1.92111 .026309 .851309 .043933 Correlation Surface at 1946 3046 .151 .007 .015 .342 .525 .105 .013 .078 .061 .197 .006 .015 .439 .723 .154 .015 .098 .068 .172 .001 .005 .465 .889 .196 .016 .117 .073 .096 .001 .000 .440 .992 .230 .022 .141 .079 .029 .004 .000 .397 1.000 .260 .037 .177 .082 .002 .002 .002 .366 .899 .287 .065 .225 .079 .001 .002 .022 .354 .699 .297 .107 .270 .067 .002 .021 .070 .341 .467 .271 .147 .287 .043 .001 .055 .124 .302 .269 .215 .165 .258 .017 r_peak,r_snr = .1417629 7.54397 Correlation Surface of oversamples image at 1946 3046 .052 .222 .586 .904 .822 .403 .097 .007 .001 .035 .198 .580 .936 .883 .460 .122 .011 .002 .022 .175 .560 .944 .930 .517 .150 .015 .002 .017 .159 .542 .944 .970 .578 .184 .021 .004 .016 .152 .526 .935 1.000 .639 .222 .029 .006 .017 .146 .502 .901 .998 .681 .255 .038 .010 .020 .143 .472 .844 .961 .697 .278 .045 .013 .031 .150 .453 .787 .911 .700 .300 .057 .020 .049 .165 .438 .721 .836 .676 .312 .070 .030 1946 .813 3046 5.969 7.54397 .011381 1.524586 -.053867 Correlation Surface at 2046 3046 .525 .703 .691 .749 .872 .769 .583 .716 .842 .505 .687 .710 .777 .922 .778 .580 .700 .819 .488 .653 .720 .801 .962 .794 .598 .697 .794 .473 .608 .717 .823 .989 .818 .636 .714 .779 .458 .556 .702 .842 1.000 .844 .686 .744 .772 .439 .503 .678 .852 .990 .858 .731 .774 .768 .419 .457 .655 .852 .962 .858 .763 .792 .761 .406 .426 .639 .841 .919 .846 .779 .793 .750 .406 .418 .631 .811 .868 .827 .777 .775 .735 r_peak,r_snr = .4422633 2.07345 Correlation Surface of oversamples image at 2046 3046 .611 .676 .758 .869 .962 .943 .808 .663 .607 .602 .675 .766 .883 .975 .953 .822 .682 .625 .591 .674 .775 .897 .985 .960 .836 .704 .648 .582 .675 .787 .912 .994 .967 .851 .728 .673 .572 .677 .799 .925 1.000 .970 .865 .753 .699 .563 .678 .808 .932 .999 .968 .875 .774 .723 .554 .680 .815 .935 .993 .962 .880 .790 .743 .550 .683 .822 .937 .986 .956 .884 .805 .761 .548 .687 .826 .934 .975 .946 .885 .814 .776 2046 .125 3046 5.125 2.07345 .011182 1.837314 -.018920 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .019 .012 .183 .663 .837 .341 .062 .005 .036 .021 .019 .211 .715 .895 .380 .087 .008 .034 .012 .038 .250 .773 .943 .429 .114 .010 .034 .002 .066 .291 .833 .981 .484 .134 .010 .035 .001 .094 .322 .881 1.000 .525 .141 .008 .039 .010 .112 .338 .902 .994 .535 .131 .003 .047 .020 .115 .342 .896 .961 .508 .111 .000 .058 .024 .111 .345 .870 .920 .463 .093 .000 .067 .020 .103 .356 .840 .876 .414 .083 .002 .064 r_peak,r_snr = .3062562 7.12489 Correlation Surface of oversamples image at 146 3446 .174 .325 .587 .868 .996 .891 .598 .308 .145 .173 .329 .596 .876 .997 .888 .599 .308 .137 .171 .332 .600 .879 .994 .883 .599 .305 .128 .173 .339 .609 .886 .999 .888 .605 .308 .123 .176 .346 .615 .888 1.000 .892 .612 .311 .118 .174 .344 .605 .871 .983 .879 .605 .304 .110 .171 .341 .593 .850 .962 .863 .593 .295 .103 .184 .359 .606 .858 .974 .877 .607 .305 .107 146 -.500 3446 -1.219 7.12489 .008815 3.842543 .003920 Correlation Surface at 246 3446 .456 .626 .622 .687 .779 .733 .579 .538 .476 .437 .599 .582 .688 .849 .760 .581 .509 .418 .407 .539 .525 .690 .921 .781 .580 .480 .376 .370 .464 .469 .699 .978 .789 .578 .464 .357 .333 .397 .428 .715 1.000 .778 .578 .465 .361 .305 .352 .410 .730 .981 .755 .582 .481 .376 .292 .335 .417 .738 .926 .731 .594 .505 .389 .298 .340 .447 .737 .858 .719 .617 .529 .394 .322 .360 .491 .730 .798 .726 .650 .546 .390 r_peak,r_snr = .4526395 2.99242 Correlation Surface of oversamples image at 246 3446 .633 .610 .729 .892 .980 .948 .809 .626 .472 .590 .579 .718 .903 .992 .940 .787 .610 .464 .551 .552 .711 .914 .998 .923 .758 .589 .455 .517 .533 .709 .925 1.000 .900 .724 .567 .446 .490 .522 .714 .939 1.000 .876 .691 .545 .439 .472 .519 .724 .954 .996 .848 .656 .523 .432 .462 .522 .737 .963 .984 .813 .618 .499 .423 .458 .531 .752 .967 .964 .775 .581 .475 .413 .465 .550 .773 .974 .945 .741 .550 .458 .409 246 -.156 3446 .813 2.99242 .005176 .452786 .016586 Correlation Surface at 346 3446 .002 .060 .169 .590 .893 .545 .309 .288 .077 .003 .077 .179 .595 .936 .545 .301 .328 .096 .005 .099 .211 .634 .964 .515 .296 .367 .105 .008 .126 .258 .699 .988 .474 .295 .387 .102 .015 .162 .310 .767 1.000 .436 .295 .372 .089 .028 .211 .355 .811 .980 .410 .288 .319 .070 .050 .270 .387 .808 .916 .395 .270 .253 .053 .077 .323 .400 .756 .815 .377 .237 .194 .043 .098 .346 .395 .674 .695 .348 .196 .152 .038 r_peak,r_snr = .2497993 7.05544 Correlation Surface of oversamples image at 346 3446 .219 .298 .439 .671 .898 .921 .739 .524 .389 .240 .326 .476 .720 .946 .947 .738 .509 .374 .260 .351 .506 .756 .979 .962 .735 .497 .362 .277 .370 .527 .777 .993 .963 .726 .486 .352 .296 .388 .543 .792 1.000 .962 .723 .485 .352 .313 .403 .553 .796 .997 .957 .723 .490 .358 .317 .399 .541 .771 .961 .922 .702 .483 .353 .307 .382 .512 .724 .898 .862 .662 .462 .337 .315 .385 .508 .706 .864 .831 .649 .464 .342 346 -.313 3446 -1.250 7.05544 .028680 5.260800 .327814 Correlation Surface at 446 3446 .406 .428 .342 .391 .611 .859 .589 .460 .435 .434 .440 .381 .454 .729 .879 .527 .398 .397 .458 .467 .427 .533 .861 .882 .444 .312 .334 .478 .495 .466 .604 .963 .862 .360 .230 .262 .488 .506 .483 .644 1.000 .816 .289 .170 .196 .485 .485 .481 .651 .973 .751 .236 .135 .147 .464 .434 .467 .636 .906 .674 .200 .117 .118 .423 .364 .449 .606 .818 .588 .177 .109 .106 r_peak,r_snr = .2797412 3.6605 Correlation Surface of oversamples image at 446 3446 .413 .412 .481 .653 .830 .797 .546 .320 .222 .460 .468 .549 .733 .900 .826 .541 .301 .198 .502 .521 .611 .801 .951 .838 .526 .278 .173 .536 .565 .661 .853 .984 .837 .505 .254 .151 .563 .601 .698 .888 1.000 .827 .484 .233 .134 .584 .626 .722 .905 .999 .806 .460 .215 .120 .597 .641 .732 .904 .979 .774 .430 .196 .107 .604 .647 .730 .889 .946 .733 .398 .178 .095 .614 .652 .726 .869 .908 .691 .370 .164 .088 446 -3.563 3446 10.813 3.66050 .020185 .919410 .077943 Correlation Surface at 546 3446 .345 .438 .556 .623 .701 .579 .345 .232 .402 .316 .406 .535 .659 .802 .644 .336 .214 .386 .287 .378 .531 .708 .900 .710 .337 .216 .381 .259 .362 .546 .760 .973 .756 .345 .234 .388 .233 .356 .576 .798 1.000 .767 .357 .264 .407 .209 .359 .612 .811 .972 .739 .365 .301 .437 .191 .370 .646 .795 .895 .681 .368 .340 .466 .179 .384 .663 .750 .784 .609 .368 .378 .484 r_peak,r_snr = .3926047 2.56398 Correlation Surface of oversamples image at 546 3446 .522 .623 .762 .876 .897 .794 .595 .374 .207 .529 .635 .781 .903 .934 .833 .619 .382 .210 .539 .648 .797 .925 .964 .866 .638 .388 .216 .552 .662 .811 .941 .988 .890 .651 .393 .226 .567 .676 .821 .950 1.000 .902 .656 .397 .238 .584 .688 .824 .946 .995 .895 .647 .395 .249 .599 .697 .819 .929 .971 .868 .625 .388 .259 .616 .705 .810 .903 .933 .827 .596 .380 .271 .629 .706 .791 .865 .880 .772 .558 .368 .281 546 .969 3446 11.063 2.56398 .009660 .414084 .019578 Correlation Surface at 646 3446 .672 .622 .701 .955 .874 .557 .351 .251 .171 .689 .630 .696 .961 .912 .566 .342 .255 .182 .698 .630 .690 .961 .952 .584 .341 .259 .191 .700 .630 .683 .951 .983 .610 .349 .262 .197 .702 .633 .676 .931 1.000 .644 .367 .263 .197 .704 .639 .663 .895 .997 .681 .389 .263 .189 .701 .640 .639 .842 .971 .706 .407 .260 .176 .688 .626 .605 .781 .919 .701 .412 .255 .164 .667 .604 .568 .723 .850 .664 .400 .249 .160 r_peak,r_snr = .5128125 2.78342 Correlation Surface of oversamples image at 646 3446 .583 .618 .744 .887 .927 .870 .762 .617 .444 .578 .615 .749 .905 .957 .903 .789 .634 .454 .573 .612 .751 .918 .981 .933 .815 .649 .461 .569 .608 .749 .922 .996 .956 .835 .661 .467 .564 .602 .740 .915 1.000 .969 .847 .666 .468 .559 .593 .725 .899 .993 .971 .851 .666 .466 .553 .582 .704 .873 .975 .962 .844 .659 .461 .540 .564 .675 .838 .944 .937 .821 .639 .449 .523 .540 .640 .795 .901 .897 .782 .608 .429 646 .563 3446 7.813 2.78342 .014566 1.573319 -.128840 Correlation Surface at 746 3446 .077 .267 .342 .592 .834 .833 .822 .511 .374 .093 .289 .347 .620 .903 .883 .846 .549 .388 .112 .297 .341 .649 .963 .920 .849 .583 .397 .129 .290 .329 .677 .999 .932 .828 .611 .407 .142 .278 .321 .705 1.000 .921 .794 .632 .420 .152 .270 .325 .723 .961 .885 .757 .646 .435 .162 .274 .348 .719 .882 .828 .723 .651 .445 .171 .290 .386 .688 .785 .768 .700 .647 .444 .178 .310 .429 .631 .697 .723 .694 .631 .433 r_peak,r_snr = .3562897 3.4999 Correlation Surface of oversamples image at 746 3446 .308 .358 .504 .752 .931 .919 .811 .749 .772 .314 .361 .510 .768 .958 .950 .835 .760 .776 .319 .364 .515 .780 .979 .970 .847 .765 .774 .323 .366 .519 .791 .993 .979 .850 .765 .771 .327 .368 .524 .800 1.000 .976 .844 .761 .766 .330 .371 .529 .806 .997 .960 .827 .751 .758 .332 .374 .534 .806 .981 .929 .800 .736 .748 .335 .378 .539 .802 .955 .889 .769 .720 .740 .339 .386 .547 .797 .923 .847 .739 .707 .736 746 -1.281 3446 2.219 3.49990 .019672 1.075343 .076671 Correlation Surface at 846 3446 .133 .183 .288 .457 .743 .495 .228 .408 .660 .154 .181 .275 .513 .828 .525 .249 .443 .676 .167 .167 .272 .587 .913 .562 .275 .450 .632 .163 .145 .276 .662 .976 .595 .302 .430 .544 .142 .119 .284 .717 1.000 .621 .323 .390 .440 .110 .097 .290 .737 .974 .636 .337 .346 .341 .079 .080 .288 .720 .898 .638 .346 .310 .261 .057 .068 .281 .669 .791 .625 .353 .290 .206 .047 .059 .271 .591 .672 .600 .361 .288 .177 r_peak,r_snr = .3162853 4.1799 Correlation Surface of oversamples image at 846 3446 2.204 4.845 9.507 15.337 2.316 4.848 9.240 14.839 2.446 4.786 8.769 13.905 2.536 4.603 8.064 12.543 2.552 4.280 7.137 10.833 846 -3.219 3446 -13.813 4.17990 .007333 .940543 .012865 Correlation Surface at 946 3446 .493 .058 .132 .341 .629 .438 .241 .143 .133 .493 .056 .095 .331 .709 .541 .284 .158 .133 .379 .042 .069 .356 .849 .664 .367 .204 .147 .216 .023 .057 .408 .978 .755 .470 .282 .179 .089 .010 .057 .457 1.000 .739 .553 .391 .238 .027 .005 .058 .470 .888 .607 .592 .529 .331 .010 .007 .055 .420 .679 .423 .589 .691 .451 .014 .021 .038 .315 .454 .257 .539 .800 .548 .039 .056 .013 .192 .267 .138 .449 .793 .560 r_peak,r_snr = .1502479 5.7503 Correlation Surface of oversamples image at 946 3446 .000 .013 .133 .462 .736 .709 .501 .371 .401 .001 .015 .167 .552 .843 .787 .550 .414 .446 .002 .017 .200 .633 .933 .847 .586 .454 .494 .006 .016 .222 .687 .986 .873 .602 .483 .539 .011 .015 .231 .712 1.000 .866 .598 .501 .579 .016 .013 .234 .714 .983 .833 .579 .512 .617 .021 .011 .227 .687 .927 .772 .544 .510 .645 .028 .009 .208 .623 .827 .679 .489 .490 .654 .034 .006 .179 .534 .700 .571 .423 .456 .644 946 -2.938 3446 -4.906 5.75030 .030504 .937993 .078337 Correlation Surface at 1046 3446 .002 .074 .171 .266 .795 .849 .493 .151 .093 .003 .121 .223 .365 .904 .842 .480 .178 .126 .009 .165 .252 .438 .963 .832 .497 .220 .167 .026 .190 .256 .480 .993 .827 .534 .265 .208 .053 .189 .250 .497 1.000 .811 .559 .293 .241 .080 .169 .249 .503 .981 .752 .539 .294 .265 .095 .145 .265 .512 .932 .641 .471 .274 .285 .090 .126 .299 .534 .854 .507 .382 .249 .305 .069 .112 .343 .568 .764 .391 .303 .228 .321 r_peak,r_snr = .2388006 6.11903 Correlation Surface of oversamples image at 1046 3446 .269 .276 .372 .602 .833 .856 .695 .481 .287 .302 .310 .419 .671 .903 .898 .699 .464 .272 .331 .342 .465 .731 .956 .922 .695 .448 .263 .353 .370 .505 .778 .989 .928 .681 .433 .257 .369 .393 .537 .808 1.000 .914 .657 .417 .254 .378 .410 .559 .823 .991 .884 .628 .403 .253 .377 .419 .571 .823 .968 .845 .598 .392 .254 .367 .420 .575 .811 .932 .799 .564 .379 .253 .351 .416 .570 .789 .885 .744 .526 .364 .250 1046 -.875 3446 5.219 6.11903 .023636 8.134839 .308999 Correlation Surface at 1146 3446 .183 .220 .374 .928 .944 .485 .274 .100 .133 .275 .272 .363 .931 .979 .581 .294 .138 .203 .402 .331 .384 .919 .993 .684 .297 .176 .281 .538 .381 .420 .876 .999 .772 .291 .217 .356 .642 .410 .444 .790 1.000 .828 .285 .261 .413 .688 .425 .441 .689 .994 .831 .285 .302 .436 .675 .438 .416 .608 .970 .775 .284 .325 .415 .628 .460 .383 .560 .911 .658 .262 .308 .354 .570 .483 .351 .541 .820 .506 .208 .244 .262 r_peak,r_snr = .2108159 4.63974 Correlation Surface of oversamples image at 1146 3446 .410 .555 .722 .812 .864 .860 .691 .414 .188 .411 .547 .714 .830 .918 .919 .720 .417 .189 .401 .523 .692 .841 .964 .963 .732 .414 .192 .376 .480 .652 .837 .993 .982 .722 .404 .195 .339 .422 .597 .818 1.000 .973 .694 .389 .200 .300 .363 .541 .797 .996 .948 .657 .374 .209 .259 .304 .487 .772 .978 .904 .610 .358 .219 .212 .241 .426 .732 .930 .829 .545 .331 .221 .165 .184 .368 .682 .861 .735 .473 .298 .217 1146 .219 3446 1.813 4.63974 9.777721 337.076660 -57.261879 Correlation Surface at 1246 3446 .180 .333 .406 .562 .788 .756 .661 .639 .581 .198 .336 .423 .615 .864 .808 .691 .627 .539 .221 .350 .447 .675 .937 .865 .722 .591 .487 .239 .369 .473 .726 .986 .908 .734 .534 .433 .246 .387 .499 .757 1.000 .922 .716 .471 .389 .241 .397 .519 .761 .979 .900 .672 .419 .364 .228 .401 .529 .744 .933 .847 .612 .384 .363 .216 .403 .531 .714 .872 .774 .553 .371 .388 .212 .409 .529 .680 .804 .698 .505 .373 .429 r_peak,r_snr = .5009477 3.10185 Correlation Surface of oversamples image at 1246 3446 .471 .597 .757 .893 .948 .925 .868 .803 .713 .487 .619 .784 .921 .973 .943 .873 .787 .675 .501 .637 .806 .941 .989 .952 .869 .762 .633 .515 .654 .823 .955 .999 .956 .859 .734 .592 .527 .666 .834 .961 1.000 .950 .840 .701 .551 .535 .670 .833 .955 .989 .932 .811 .662 .511 .539 .669 .824 .939 .968 .905 .776 .623 .473 .543 .666 .811 .920 .945 .876 .742 .588 .444 .545 .658 .794 .896 .916 .842 .705 .556 .421 1246 .469 3446 -7.188 3.10185 .007704 .426526 .016750 Correlation Surface at 1346 3446 .411 .441 .460 .622 .775 .780 .686 .608 .445 .398 .431 .462 .650 .832 .826 .686 .582 .441 .393 .439 .487 .704 .902 .860 .677 .556 .441 .399 .468 .530 .771 .965 .866 .657 .537 .445 .413 .512 .579 .831 1.000 .842 .630 .530 .455 .430 .558 .614 .862 .998 .797 .602 .539 .470 .443 .587 .624 .855 .965 .751 .584 .561 .489 .446 .587 .608 .817 .918 .720 .582 .589 .505 .438 .563 .577 .766 .878 .712 .596 .610 .513 r_peak,r_snr = .5718219 2.57345 Correlation Surface of oversamples image at 1346 3446 .545 .638 .762 .878 .942 .940 .872 .750 .636 .557 .653 .781 .900 .963 .954 .877 .748 .629 .572 .670 .801 .922 .980 .963 .877 .740 .618 .591 .689 .822 .943 .993 .966 .870 .727 .607 .611 .707 .839 .958 1.000 .961 .857 .711 .594 .628 .721 .852 .966 .998 .950 .839 .693 .582 .642 .730 .859 .966 .988 .933 .818 .674 .570 .653 .736 .861 .961 .974 .913 .798 .657 .563 .658 .737 .859 .950 .956 .893 .778 .644 .559 1346 -.031 3446 .188 2.57345 .010087 .291650 .040577 Correlation Surface at 1446 3446 .289 .474 .515 .566 .808 .653 .358 .184 .115 .266 .438 .515 .596 .868 .695 .343 .172 .122 .249 .418 .527 .638 .931 .725 .328 .172 .138 .240 .418 .539 .682 .982 .731 .316 .187 .161 .242 .436 .544 .716 1.000 .706 .310 .216 .188 .259 .462 .539 .731 .980 .660 .314 .252 .216 .289 .485 .525 .732 .941 .612 .333 .293 .245 .331 .494 .508 .726 .896 .579 .372 .339 .272 .375 .485 .491 .719 .850 .569 .429 .390 .296 r_peak,r_snr = .3659707 4.13758 Correlation Surface of oversamples image at 1446 3446 .431 .431 .525 .741 .935 .920 .725 .500 .318 .432 .446 .552 .772 .960 .931 .726 .493 .310 .434 .465 .584 .806 .978 .930 .716 .479 .300 .440 .487 .621 .843 .993 .923 .698 .462 .288 .449 .513 .661 .877 1.000 .903 .671 .440 .276 .457 .536 .695 .901 .991 .867 .632 .412 .260 .465 .556 .723 .914 .968 .819 .587 .383 .246 .476 .577 .749 .922 .943 .775 .549 .361 .237 .488 .597 .769 .923 .914 .732 .516 .344 .232 1446 .063 3446 -4.156 4.13758 .010762 1.187058 .071807 Correlation Surface at 1546 3446 .295 .393 .499 .607 .804 .632 .295 .080 .043 .265 .392 .552 .653 .859 .653 .291 .066 .039 .262 .417 .609 .696 .915 .675 .274 .056 .042 .281 .453 .649 .730 .967 .694 .249 .052 .051 .317 .484 .659 .746 1.000 .706 .224 .052 .062 .359 .497 .639 .731 .987 .697 .207 .060 .073 .397 .495 .602 .687 .922 .664 .203 .078 .080 .422 .481 .560 .624 .827 .617 .216 .105 .083 .426 .461 .523 .564 .733 .575 .244 .138 .078 r_peak,r_snr = .3082709 4.92528 Correlation Surface of oversamples image at 1546 3446 .489 .546 .648 .802 .931 .934 .820 .650 .443 .501 .561 .668 .832 .964 .957 .828 .641 .414 .508 .568 .679 .851 .985 .969 .829 .625 .382 .511 .569 .683 .861 .997 .974 .823 .606 .351 .512 .568 .683 .866 1.000 .971 .815 .586 .327 .509 .562 .678 .860 .990 .957 .801 .566 .308 .499 .549 .663 .841 .965 .931 .780 .544 .294 .485 .531 .641 .812 .927 .896 .756 .525 .287 .474 .516 .620 .781 .886 .862 .737 .516 .292 1546 .156 3446 2.219 4.92528 .010721 1.172439 -.001503 Correlation Surface at 1646 3446 .167 .035 .001 .000 .236 .429 .238 .149 .111 .037 .001 .017 .414 .433 .156 .150 .076 .035 .000 .073 .641 .355 .079 .151 .066 .032 .000 .181 .861 .232 .031 .154 .078 .031 .000 .337 1.000 .125 .013 .161 .118 .033 .000 .490 .990 .063 .011 .160 .186 .037 .001 .566 .825 .036 .022 .145 .281 .049 .005 .523 .566 .028 .047 .119 .380 .073 .011 .378 .313 .028 .084 .090 r_peak,r_snr = .142196 5.7279 Correlation Surface of oversamples image at 1646 3446 .109 .188 .276 .408 .653 .770 .565 .314 .201 .113 .202 .317 .495 .773 .841 .539 .237 .124 .110 .205 .346 .571 .876 .883 .492 .165 .065 .106 .203 .363 .633 .958 .900 .436 .106 .028 .095 .187 .360 .665 1.000 .877 .367 .061 .009 .076 .158 .339 .671 1.000 .816 .292 .030 .001 .055 .126 .310 .660 .967 .729 .221 .013 .000 .038 .099 .284 .637 .908 .629 .161 .005 .000 .025 .078 .262 .607 .826 .520 .112 .002 .000 1646 11.125 3446 -12.781 5.72790 .025648 1.213740 .151956 Correlation Surface at 1746 3446 .618 .697 .708 .748 .881 .754 .591 .518 .389 .590 .652 .668 .766 .905 .770 .611 .534 .375 .542 .606 .643 .799 .943 .800 .651 .555 .368 .487 .564 .636 .838 .978 .835 .706 .581 .379 .433 .526 .637 .869 1.000 .866 .762 .606 .408 .383 .495 .636 .880 .998 .884 .804 .623 .450 .343 .470 .628 .866 .967 .880 .819 .630 .494 .316 .453 .617 .837 .916 .856 .810 .633 .531 .300 .447 .609 .808 .858 .824 .790 .640 .554 r_peak,r_snr = .4187851 2.63435 Correlation Surface of oversamples image at 1746 3446 .665 .723 .799 .899 .959 .898 .754 .631 .579 .659 .732 .822 .924 .974 .900 .751 .630 .584 .655 .743 .847 .950 .988 .902 .750 .633 .592 .652 .755 .871 .971 .997 .902 .750 .638 .601 .650 .765 .889 .986 1.000 .898 .748 .643 .609 .649 .773 .901 .993 .997 .891 .746 .649 .617 .647 .776 .906 .993 .990 .881 .744 .656 .627 .642 .773 .902 .985 .975 .866 .739 .662 .635 .632 .761 .885 .964 .950 .844 .729 .663 .640 1746 -.156 3446 5.250 2.63435 .017487 1.777639 -.013070 Correlation Surface at 1846 3446 .271 .423 .582 .741 .845 .796 .558 .434 .326 .293 .445 .607 .791 .902 .839 .593 .464 .380 .309 .463 .642 .855 .951 .865 .622 .487 .412 .315 .471 .679 .917 .984 .871 .637 .500 .413 .314 .473 .709 .966 1.000 .857 .641 .508 .395 .311 .472 .727 .982 .994 .828 .633 .515 .373 .309 .471 .734 .957 .966 .788 .619 .525 .364 .311 .475 .732 .906 .926 .745 .606 .539 .376 .319 .483 .729 .852 .885 .709 .604 .561 .410 r_peak,r_snr = .4839169 2.97053 Correlation Surface of oversamples image at 1846 3446 .603 .670 .784 .898 .960 .919 .818 .692 .542 .597 .671 .798 .919 .974 .921 .819 .697 .548 .595 .678 .815 .938 .984 .923 .823 .703 .554 .601 .695 .838 .957 .994 .928 .833 .713 .563 .611 .716 .860 .971 1.000 .934 .844 .723 .573 .623 .736 .876 .976 .998 .936 .851 .730 .581 .637 .755 .885 .971 .991 .936 .855 .733 .587 .659 .777 .893 .965 .985 .939 .859 .737 .597 .681 .794 .892 .952 .975 .938 .858 .736 .606 1846 .875 3446 5.219 2.97053 .074596 1.848020 .312112 Correlation Surface at 1946 3446 .487 .628 .623 .636 .904 .850 .596 .530 .580 .503 .656 .625 .643 .940 .848 .585 .526 .585 .521 .671 .618 .657 .971 .833 .581 .545 .608 .538 .664 .600 .673 .992 .809 .589 .580 .639 .549 .633 .575 .693 1.000 .783 .612 .625 .665 .552 .587 .549 .715 .990 .762 .647 .670 .683 .544 .536 .533 .738 .960 .746 .688 .707 .700 .523 .494 .536 .754 .913 .737 .726 .734 .724 .487 .467 .556 .753 .860 .734 .754 .752 .758 r_peak,r_snr = .4932706 1.95024 Correlation Surface of oversamples image at 1946 3446 .693 .636 .679 .828 .946 .913 .792 .677 .609 .678 .629 .688 .850 .965 .918 .785 .671 .613 .664 .627 .703 .874 .982 .920 .781 .670 .626 .649 .628 .720 .897 .995 .920 .778 .677 .647 .636 .631 .739 .916 1.000 .915 .776 .689 .676 .625 .639 .759 .932 .999 .906 .775 .706 .711 .619 .652 .782 .945 .993 .896 .778 .730 .752 .616 .667 .801 .951 .980 .883 .783 .758 .797 .612 .679 .813 .943 .956 .864 .785 .783 .837 1946 -.031 3446 -9.375 1.95024 .007529 1.896104 .088729 Correlation Surface at 2046 3446 .568 .551 .633 .801 .852 .660 .546 .745 .781 .546 .542 .653 .845 .907 .688 .558 .747 .785 .533 .541 .676 .893 .959 .722 .579 .762 .795 .529 .545 .694 .926 .990 .754 .608 .781 .801 .537 .559 .705 .937 1.000 .789 .643 .800 .799 .553 .578 .709 .924 .993 .825 .680 .816 .788 .575 .599 .706 .893 .977 .858 .709 .820 .766 .597 .616 .695 .852 .959 .877 .717 .806 .735 .616 .626 .679 .816 .946 .877 .699 .774 .701 r_peak,r_snr = .633107 1.79503 Correlation Surface of oversamples image at 2046 3446 .747 .832 .910 .954 .968 .944 .855 .727 .630 .746 .822 .898 .951 .979 .963 .872 .740 .638 .740 .807 .884 .948 .989 .979 .886 .751 .649 .731 .791 .870 .945 .997 .990 .896 .761 .661 .719 .774 .856 .940 1.000 .994 .900 .770 .673 .706 .757 .841 .932 .995 .988 .898 .774 .681 .696 .744 .828 .922 .986 .979 .893 .778 .688 2046 -6.781 3446 2.750 1.79503 .008310 .780234 -.058389 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .280 .203 .300 .630 .750 .359 .221 .176 .191 .272 .182 .292 .704 .853 .419 .255 .204 .252 .267 .187 .330 .794 .939 .495 .313 .234 .320 .269 .220 .404 .868 .991 .564 .372 .250 .360 .281 .274 .494 .892 1.000 .604 .402 .243 .347 .302 .336 .572 .857 .971 .606 .394 .222 .288 .327 .388 .614 .792 .925 .580 .361 .206 .218 .357 .418 .611 .738 .892 .543 .329 .208 .161 r_peak,r_snr = .2509618 4.01074 Correlation Surface of oversamples image at 146 3846 .119 .223 .441 .715 .907 .888 .711 .504 .345 .130 .234 .462 .757 .952 .925 .751 .551 .387 .146 .249 .482 .788 .981 .947 .780 .591 .427 .168 .270 .502 .808 .995 .958 .802 .625 .462 .202 .302 .528 .823 1.000 .965 .821 .653 .491 .245 .341 .554 .830 .995 .966 .833 .672 .510 .289 .377 .568 .818 .972 .953 .831 .676 .513 .335 .410 .573 .793 .940 .933 .822 .670 .503 .390 .448 .581 .776 .922 .929 .822 .668 .492 146 -.344 3846 10.781 4.01074 .022427 3.035157 -.098465 Correlation Surface at 246 3846 .136 .144 .243 .505 .676 .339 .187 .260 .148 .136 .147 .263 .538 .781 .359 .182 .248 .106 .142 .136 .245 .548 .883 .374 .162 .225 .077 .149 .113 .206 .551 .961 .381 .142 .202 .064 .153 .086 .163 .552 1.000 .387 .137 .192 .067 .149 .063 .133 .549 .991 .401 .156 .200 .086 .137 .049 .118 .529 .934 .422 .204 .228 .121 r_peak,r_snr = .2478846 7.09787 Correlation Surface of oversamples image at 246 3846 .221 .378 .576 .792 .923 .905 .702 .405 .189 .224 .386 .598 .824 .962 .945 .728 .410 .183 .220 .386 .610 .842 .985 .969 .743 .412 .181 .212 .379 .613 .852 .998 .980 .750 .414 .184 .201 .367 .610 .854 1.000 .980 .747 .417 .192 .188 .352 .599 .845 .988 .963 .735 .417 .206 .175 .334 .582 .827 .964 .936 .716 .418 .225 .165 .321 .566 .809 .940 .906 .698 .424 .254 .159 .313 .552 .788 .910 .872 .676 .433 .290 246 -.281 3846 11.781 7.09787 .005231 1.991171 -.014313 Correlation Surface at 346 3846 .189 .366 .484 .498 .465 .198 .184 .266 .124 .213 .372 .553 .558 .626 .289 .183 .254 .143 .253 .389 .607 .599 .794 .394 .190 .223 .151 .305 .420 .636 .620 .930 .495 .208 .193 .142 .362 .464 .638 .617 1.000 .570 .240 .179 .130 .419 .523 .622 .584 .991 .604 .288 .188 .125 .471 .589 .594 .527 .904 .593 .344 .219 .135 .511 .649 .562 .464 .760 .549 .395 .260 .159 .536 .699 .541 .413 .604 .488 .436 .296 .189 r_peak,r_snr = .2178406 3.96211 Correlation Surface of oversamples image at 346 3846 .627 .622 .665 .805 .846 .667 .449 .334 .296 .650 .629 .668 .829 .914 .763 .530 .380 .309 .666 .628 .662 .838 .964 .843 .601 .420 .320 .674 .622 .650 .833 .992 .903 .657 .450 .327 .681 .614 .635 .818 1.000 .940 .695 .471 .331 .681 .602 .614 .792 .985 .948 .711 .478 .330 .665 .577 .582 .749 .942 .923 .701 .473 .326 .638 .544 .542 .695 .879 .873 .672 .461 .321 .615 .516 .507 .644 .813 .815 .640 .453 .325 346 .156 3846 -1.250 3.96211 .014819 1.099746 -.062732 Correlation Surface at 446 3846 .148 .153 .164 .615 .777 .370 .165 .153 .064 .212 .183 .183 .620 .785 .392 .159 .139 .056 .285 .220 .232 .668 .849 .446 .157 .127 .056 .343 .253 .305 .731 .936 .517 .157 .115 .065 .369 .276 .385 .775 1.000 .585 .157 .105 .077 .365 .285 .448 .762 .995 .622 .158 .096 .090 .341 .284 .474 .681 .908 .618 .163 .093 .103 .308 .276 .458 .561 .771 .583 .172 .095 .111 .275 .266 .414 .441 .636 .539 .185 .103 .111 r_peak,r_snr = .2434907 6.22699 Correlation Surface of oversamples image at 446 3846 .295 .338 .571 .832 .933 .867 .683 .453 .270 .312 .373 .615 .862 .954 .898 .726 .490 .291 .335 .417 .664 .893 .975 .932 .772 .530 .313 .363 .467 .714 .919 .993 .964 .817 .568 .333 .396 .519 .758 .935 1.000 .986 .854 .600 .349 .429 .568 .787 .930 .984 .984 .868 .616 .358 .461 .609 .799 .903 .946 .959 .861 .617 .359 .497 .646 .800 .865 .898 .922 .843 .613 .362 .528 .670 .783 .812 .837 .871 .810 .600 .363 446 -.281 3846 8.969 6.22699 .015254 1.032527 -.041055 Correlation Surface at 546 3846 .113 .184 .336 .536 .711 .738 .588 .580 .510 .090 .150 .322 .569 .806 .842 .645 .575 .518 .082 .131 .314 .591 .900 .928 .687 .538 .509 .092 .130 .312 .598 .969 .977 .705 .486 .489 .124 .149 .316 .587 1.000 .986 .700 .435 .467 .182 .188 .324 .563 .992 .966 .684 .397 .450 .259 .241 .332 .531 .950 .925 .662 .378 .442 .338 .292 .335 .496 .886 .873 .641 .379 .438 .397 .323 .328 .465 .812 .812 .624 .396 .436 r_peak,r_snr = .3123454 3.57915 Correlation Surface of oversamples image at 546 3846 .402 .597 .780 .897 .896 .801 .689 .573 .448 .410 .613 .809 .934 .934 .841 .729 .601 .455 .421 .627 .834 .966 .967 .879 .766 .624 .460 .429 .637 .849 .985 .992 .911 .798 .642 .462 .430 .633 .847 .985 1.000 .931 .818 .649 .457 .424 .618 .826 .965 .991 .935 .825 .645 .446 .415 .598 .799 .936 .974 .933 .825 .637 .436 .404 .574 .765 .900 .949 .924 .818 .625 .425 .385 .539 .716 .847 .907 .898 .797 .604 .411 546 -.719 3846 .313 3.57915 .015265 1.617110 -.031682 Correlation Surface at 646 3846 .729 .643 .578 .707 .907 .887 .710 .487 .416 .650 .600 .555 .735 .914 .878 .700 .465 .401 .582 .569 .547 .772 .938 .878 .686 .449 .405 .528 .551 .553 .812 .972 .878 .665 .444 .427 .492 .543 .573 .844 1.000 .866 .636 .450 .459 .473 .543 .598 .855 .995 .830 .600 .467 .491 .467 .547 .621 .839 .945 .772 .564 .493 .515 .473 .556 .639 .798 .860 .704 .533 .524 .524 .488 .567 .646 .744 .767 .641 .513 .555 .519 r_peak,r_snr = .4939284 2.02452 Correlation Surface of oversamples image at 646 3846 2.632 3.064 3.543 3.877 4.000 3.892 3.565 3.078 2.537 2.655 3.123 3.574 3.846 3.937 3.840 3.534 3.056 2.497 2.671 3.174 3.600 3.816 3.881 3.791 3.498 3.023 2.449 2.702 3.237 3.643 3.811 3.854 3.765 3.473 2.993 2.406 2.741 3.307 3.698 3.824 3.845 3.746 3.443 2.952 2.358 646 .500 3846 -2.781 2.02452 .013653 .573022 .052063 Correlation Surface at 746 3846 .105 .168 .363 .603 .689 .592 .325 .158 .174 .120 .206 .412 .678 .815 .699 .364 .204 .227 .141 .256 .469 .740 .924 .793 .401 .256 .280 .164 .318 .535 .771 .989 .850 .425 .303 .320 .187 .391 .603 .764 1.000 .854 .428 .334 .345 .208 .471 .658 .721 .956 .810 .414 .345 .357 .232 .547 .684 .649 .869 .738 .393 .339 .356 .258 .605 .672 .564 .763 .665 .381 .326 .342 .287 .631 .624 .478 .663 .617 .385 .310 .314 r_peak,r_snr = .3538012 4.53669 Correlation Surface of oversamples image at 746 3846 .723 .829 .888 .912 .899 .805 .629 .437 .308 .746 .843 .909 .951 .944 .838 .646 .451 .326 .765 .848 .922 .979 .978 .861 .659 .465 .346 .779 .846 .924 .995 .999 .874 .666 .478 .365 .782 .829 .911 .993 1.000 .871 .665 .486 .381 .775 .800 .881 .971 .982 .855 .657 .489 .393 .763 .766 .844 .938 .954 .834 .646 .492 .405 .744 .727 .801 .896 .917 .808 .635 .494 .415 .709 .675 .743 .839 .866 .771 .615 .489 .417 746 .281 3846 1.250 4.53669 .014486 .557115 -.005832 Correlation Surface at 946 3846 .112 .707 .842 .632 .726 .250 .000 .087 .014 .101 .691 .764 .602 .823 .290 .000 .076 .023 .087 .637 .662 .605 .916 .336 .002 .063 .040 .065 .542 .552 .650 .983 .364 .005 .052 .067 .039 .420 .453 .739 1.000 .353 .008 .043 .103 .015 .289 .372 .838 .957 .307 .011 .033 .131 .001 .172 .310 .888 .873 .250 .017 .021 .134 .002 .090 .267 .864 .780 .204 .029 .007 .106 .013 .045 .233 .783 .694 .183 .052 .000 .058 r_peak,r_snr = .1660957 6.43897 Correlation Surface of oversamples image at 946 3846 .426 1.440 2.805 4.000 3.897 2.817 1.940 1.568 .398 1.474 2.854 3.893 3.636 2.546 1.751 1.501 .398 1.569 2.962 3.819 3.410 2.337 1.642 1.512 .395 1.644 3.018 3.690 3.172 2.165 1.589 1.578 .383 1.685 3.011 3.507 2.930 2.026 1.580 1.679 946 -1.313 3846 -13.813 6.43897 .038683 4.197394 .316948 Correlation Surface at 1046 3846 .214 .237 .166 .334 .661 .640 .597 .511 .602 .225 .228 .154 .382 .759 .664 .568 .480 .631 .231 .219 .161 .466 .864 .648 .485 .412 .581 .229 .218 .190 .575 .952 .590 .382 .334 .484 .224 .237 .243 .691 1.000 .505 .293 .268 .381 .213 .279 .315 .794 .992 .420 .236 .226 .302 .202 .336 .396 .864 .937 .360 .214 .208 .258 .197 .392 .467 .887 .850 .336 .227 .210 .245 .206 .436 .512 .861 .754 .345 .270 .223 .253 r_peak,r_snr = .2495756 3.78698 Correlation Surface of oversamples image at 1046 3846 .180 .180 .289 .549 .864 .980 .803 .574 .461 .201 .213 .341 .617 .919 .987 .763 .523 .420 .227 .253 .398 .682 .961 .975 .707 .463 .372 .259 .300 .458 .742 .988 .947 .645 .401 .323 .297 .350 .516 .792 1.000 .904 .578 .342 .278 .337 .400 .570 .829 .995 .850 .511 .290 .239 .382 .452 .620 .859 .981 .796 .453 .249 .213 .427 .502 .664 .879 .961 .746 .408 .222 .198 .465 .542 .695 .884 .929 .692 .368 .203 .190 1046 1.688 3846 -9.969 3.78698 .071980 3.082763 .442824 Correlation Surface at 1146 3846 .164 .044 .164 .422 .330 .295 .252 .158 .029 .107 .022 .155 .476 .497 .409 .310 .170 .066 .077 .017 .156 .565 .708 .536 .335 .185 .147 .076 .024 .179 .671 .898 .638 .335 .210 .267 .097 .047 .230 .767 1.000 .688 .326 .245 .380 .133 .083 .307 .827 .983 .680 .318 .282 .433 .168 .125 .391 .837 .877 .635 .319 .305 .408 .188 .158 .448 .794 .732 .568 .324 .295 .331 .189 .171 .461 .720 .596 .493 .319 .250 .246 r_peak,r_snr = .1754212 4.23905 Correlation Surface of oversamples image at 1146 3846 .078 .272 .499 .667 .735 .633 .420 .250 .170 .097 .320 .577 .761 .824 .680 .422 .239 .173 .129 .381 .655 .847 .905 .724 .428 .238 .187 .174 .448 .723 .913 .969 .760 .436 .244 .208 .225 .507 .767 .946 1.000 .773 .440 .254 .230 .279 .556 .786 .946 .998 .768 .443 .269 .254 .343 .603 .793 .929 .981 .763 .461 .298 .285 .408 .642 .785 .893 .946 .756 .489 .336 .315 .454 .651 .744 .823 .878 .730 .507 .364 .327 1146 -3.625 3846 -2.250 4.23905 .042047 .786200 .050909 Correlation Surface at 1346 3846 .467 .577 .684 .729 .816 .700 .597 .565 .543 .472 .565 .657 .731 .872 .744 .594 .554 .544 .485 .557 .638 .744 .933 .784 .594 .549 .549 .501 .554 .628 .760 .981 .812 .603 .557 .561 .511 .559 .626 .770 1.000 .820 .622 .582 .581 .518 .571 .630 .770 .985 .808 .654 .625 .607 .529 .591 .641 .765 .942 .786 .701 .680 .637 .547 .616 .659 .756 .882 .768 .757 .734 .670 .569 .639 .680 .746 .819 .762 .811 .766 .697 r_peak,r_snr = .5077767 2.10074 Correlation Surface of oversamples image at 1346 3846 .640 .681 .745 .838 .923 .924 .837 .732 .650 .632 .678 .753 .860 .951 .949 .853 .739 .653 .628 .679 .765 .881 .974 .968 .865 .746 .659 .628 .683 .777 .900 .992 .978 .871 .753 .669 .632 .690 .789 .915 1.000 .980 .872 .759 .682 .638 .698 .800 .922 .998 .970 .865 .762 .696 .646 .707 .808 .923 .986 .952 .853 .764 .711 .659 .720 .816 .918 .967 .928 .839 .766 .729 .675 .734 .821 .908 .941 .899 .823 .769 .749 1346 .156 3846 10.031 2.10074 .004657 .428062 .004466 Correlation Surface at 1446 3846 .162 .314 .497 .610 .676 .695 .357 .159 .111 .175 .306 .472 .640 .787 .699 .321 .149 .112 .193 .300 .465 .687 .902 .682 .284 .153 .121 .211 .307 .478 .740 .984 .639 .250 .172 .140 .226 .333 .506 .778 1.000 .579 .228 .206 .168 .234 .375 .531 .782 .951 .526 .228 .258 .204 .232 .422 .536 .743 .868 .499 .252 .325 .241 .222 .455 .511 .671 .793 .505 .299 .395 .268 .203 .449 .464 .597 .759 .543 .365 .452 .276 r_peak,r_snr = .3572202 4.82798 Correlation Surface of oversamples image at 1446 3846 .503 .598 .672 .763 .857 .858 .726 .529 .327 .522 .631 .723 .830 .917 .887 .723 .512 .314 .547 .666 .773 .891 .966 .904 .715 .497 .307 .575 .700 .817 .938 .995 .906 .702 .484 .304 .603 .726 .846 .965 1.000 .892 .684 .470 .303 .626 .742 .860 .970 .986 .868 .665 .461 .307 .647 .752 .864 .964 .964 .847 .656 .462 .320 .661 .751 .856 .945 .936 .828 .653 .469 .340 .656 .732 .826 .906 .896 .804 .647 .474 .358 1446 -.125 3846 3.594 4.82798 .007918 .427926 .031872 Correlation Surface at 1546 3846 .001 .030 .141 .296 .539 .735 .596 .309 .185 .001 .042 .177 .356 .666 .839 .617 .320 .213 .000 .055 .194 .417 .807 .892 .604 .344 .261 .000 .069 .191 .478 .930 .882 .575 .390 .327 .001 .078 .178 .539 1.000 .822 .550 .458 .407 .003 .078 .166 .603 .996 .738 .544 .538 .480 .005 .069 .166 .666 .928 .661 .560 .610 .528 .007 .055 .177 .712 .823 .605 .585 .652 .542 .008 .039 .192 .720 .705 .575 .609 .655 .527 r_peak,r_snr = .2557162 4.57434 Correlation Surface of oversamples image at 1546 3846 .251 .361 .536 .746 .907 .918 .744 .527 .387 .255 .371 .568 .797 .948 .925 .725 .507 .381 .252 .376 .597 .843 .978 .922 .705 .491 .379 .245 .379 .625 .882 .995 .908 .683 .480 .379 .238 .386 .656 .917 1.000 .884 .661 .471 .381 .234 .399 .691 .946 .991 .852 .639 .465 .383 .234 .421 .731 .970 .975 .819 .622 .465 .388 .239 .451 .776 .989 .950 .783 .606 .467 .394 .246 .482 .814 .990 .906 .736 .582 .464 .395 1546 -1.125 3846 -5.188 4.57434 .027851 1.021692 .127793 Correlation Surface at 1646 3846 .321 .232 .204 .258 .457 .615 .466 .458 .484 .281 .174 .165 .293 .605 .703 .452 .444 .439 .269 .150 .152 .365 .788 .742 .411 .398 .378 .275 .151 .164 .458 .943 .709 .351 .327 .317 .289 .171 .196 .543 1.000 .615 .281 .251 .272 .306 .201 .239 .596 .939 .497 .219 .194 .253 .326 .244 .289 .610 .798 .397 .179 .166 .264 .355 .305 .345 .600 .653 .340 .162 .168 .295 .410 .388 .408 .591 .561 .325 .155 .184 .338 r_peak,r_snr = .2409384 2.80259 Correlation Surface of oversamples image at 1646 3846 .136 .208 .327 .526 .766 .848 .687 .501 .437 .146 .246 .394 .617 .858 .905 .705 .506 .438 .159 .290 .469 .709 .934 .938 .708 .501 .429 .175 .336 .544 .789 .983 .944 .697 .489 .412 .194 .383 .613 .849 1.000 .923 .675 .474 .392 .214 .425 .668 .883 .983 .878 .642 .455 .370 .234 .456 .702 .887 .936 .814 .603 .432 .343 .252 .477 .713 .862 .866 .740 .559 .407 .314 .268 .482 .697 .808 .778 .658 .512 .380 .285 1646 4.656 3846 -6.781 2.80259 .016768 .465391 .062299 Correlation Surface at 1746 3846 .093 .000 .001 .030 .278 .076 .077 .007 .012 .052 .000 .001 .068 .466 .092 .098 .025 .000 .024 .001 .004 .177 .704 .091 .101 .033 .005 .011 .001 .019 .364 .912 .074 .091 .028 .010 .006 .000 .048 .563 1.000 .056 .071 .014 .006 .005 .000 .073 .650 .935 .046 .043 .003 .000 .004 .000 .077 .550 .742 .045 .019 .000 .006 .001 .001 .055 .339 .501 .044 .005 .008 .027 .000 .003 .024 .148 .292 .038 .001 .023 .055 r_peak,r_snr = .1615405 15.49717 Correlation Surface of oversamples image at 1746 3846 .005 .012 .095 .384 .715 .719 .417 .099 .001 .005 .021 .144 .494 .839 .793 .433 .098 .001 .006 .034 .199 .600 .940 .840 .438 .094 .000 .006 .046 .248 .680 .993 .848 .426 .087 .000 .006 .056 .285 .724 1.000 .826 .405 .079 .000 .009 .068 .315 .743 .982 .799 .393 .078 .000 .011 .075 .324 .722 .926 .754 .379 .078 .000 .009 .068 .293 .637 .807 .666 .340 .069 .000 .006 .053 .240 .520 .660 .559 .293 .058 .000 1746 -1.438 3846 4.781 15.49717 .008689 .634192 .043542 Correlation Surface at 1846 3846 .451 .660 .751 .770 .831 .836 .788 .731 .657 .457 .656 .750 .802 .896 .860 .784 .711 .649 .457 .651 .737 .815 .952 .874 .778 .692 .639 .452 .645 .715 .808 .990 .877 .772 .679 .631 .446 .638 .687 .787 1.000 .868 .768 .677 .629 .442 .628 .660 .763 .989 .854 .766 .685 .635 .446 .620 .641 .747 .969 .843 .771 .704 .647 .457 .613 .637 .745 .952 .841 .782 .730 .659 .471 .609 .651 .762 .944 .850 .800 .757 .667 r_peak,r_snr = .5590534 1.72719 Correlation Surface of oversamples image at 1846 3846 2.652 2.879 3.387 3.883 3.966 3.701 3.467 3.426 3.440 2.624 2.859 3.360 3.846 3.950 3.725 3.502 3.442 3.444 2.610 2.856 3.344 3.814 3.934 3.749 3.536 3.454 3.443 2.646 2.902 3.376 3.830 3.963 3.810 3.603 3.500 3.475 1846 -.031 3846 -1.219 1.72719 .004726 .718303 -.013956 Correlation Surface at 1946 3846 .404 .637 .707 .716 .766 .729 .531 .432 .336 .389 .638 .738 .760 .823 .781 .562 .438 .351 .380 .640 .763 .804 .892 .839 .593 .450 .383 .377 .636 .763 .836 .958 .890 .621 .471 .417 .381 .617 .728 .852 1.000 .915 .642 .497 .439 .390 .581 .671 .853 .998 .900 .651 .523 .439 .401 .535 .613 .843 .943 .849 .650 .541 .420 .408 .491 .576 .823 .851 .781 .638 .545 .393 .407 .458 .567 .792 .747 .717 .619 .532 .370 r_peak,r_snr = .4496165 3.13943 Correlation Surface of oversamples image at 1946 3846 .710 .741 .805 .863 .877 .801 .660 .525 .433 .714 .761 .841 .911 .926 .841 .685 .538 .442 .717 .779 .874 .952 .966 .874 .706 .552 .455 .716 .794 .899 .980 .992 .895 .722 .566 .468 .713 .801 .911 .990 1.000 .902 .731 .578 .482 .709 .803 .909 .982 .990 .896 .734 .588 .495 .709 .802 .895 .960 .967 .882 .733 .598 .508 .709 .793 .869 .925 .933 .859 .727 .605 .518 .705 .772 .826 .874 .885 .824 .710 .602 .517 1946 -.188 3846 -6.531 3.13943 .017645 .392036 .003877 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .147 .197 .429 .731 .945 .880 .791 .485 .180 .164 .230 .420 .668 .937 .898 .794 .496 .213 .192 .274 .429 .638 .950 .918 .765 .469 .236 .225 .321 .459 .648 .976 .935 .713 .407 .229 .253 .355 .499 .690 1.000 .934 .652 .327 .187 .271 .357 .531 .749 .997 .909 .593 .247 .125 .268 .330 .550 .806 .955 .850 .533 .181 .065 .249 .290 .557 .837 .889 .767 .463 .134 .026 .221 .253 .554 .828 .818 .678 .382 .102 .008 r_peak,r_snr = .2682754 4.50251 Correlation Surface of oversamples image at 146 4246 .369 .517 .706 .873 .937 .874 .748 .620 .521 .383 .534 .720 .887 .962 .904 .762 .612 .502 .408 .564 .745 .907 .984 .929 .776 .606 .484 .441 .604 .777 .926 .999 .944 .784 .601 .467 .476 .648 .810 .938 1.000 .945 .784 .592 .448 .512 .694 .839 .940 .987 .932 .775 .582 .428 .554 .744 .869 .939 .970 .916 .765 .574 .412 .594 .789 .889 .928 .944 .890 .749 .564 .397 .619 .814 .886 .896 .900 .846 .713 .538 .372 146 .531 4246 6.281 4.50251 .090671 6.637840 .642400 Correlation Surface at 246 4246 .444 .571 .619 .620 .742 .708 .493 .400 .443 .467 .619 .649 .671 .804 .777 .508 .406 .453 .473 .648 .680 .740 .882 .842 .529 .418 .460 .459 .647 .700 .814 .956 .882 .553 .435 .462 .426 .611 .700 .868 1.000 .883 .574 .454 .460 .382 .548 .673 .879 .991 .843 .588 .471 .458 .340 .473 .620 .838 .926 .775 .594 .484 .462 .308 .403 .551 .757 .828 .705 .594 .492 .474 .293 .351 .485 .659 .722 .648 .586 .492 .494 r_peak,r_snr = .4349662 2.05963 Correlation Surface of oversamples image at 246 4246 .651 .652 .711 .814 .900 .891 .760 .596 .476 .656 .669 .740 .850 .938 .922 .782 .609 .484 .658 .685 .766 .882 .969 .946 .797 .619 .491 .658 .699 .789 .907 .991 .959 .805 .625 .497 .654 .710 .806 .922 1.000 .961 .805 .629 .504 .644 .714 .812 .923 .991 .946 .795 .629 .510 .630 .712 .809 .909 .965 .916 .776 .626 .517 .615 .706 .799 .886 .927 .879 .755 .625 .528 .596 .694 .780 .850 .879 .835 .730 .624 .540 246 -8.875 4246 -11.063 2.05963 .023277 .356463 .046155 Correlation Surface at 346 4246 .397 .236 .337 .546 .825 .784 .531 .437 .322 .383 .211 .323 .599 .875 .821 .611 .500 .355 .354 .197 .349 .662 .919 .850 .669 .543 .373 .323 .205 .416 .735 .966 .856 .689 .557 .369 .301 .235 .512 .796 1.000 .821 .660 .526 .348 .293 .283 .604 .814 .984 .741 .581 .436 .310 .295 .335 .655 .768 .891 .629 .471 .308 .257 .306 .379 .655 .661 .732 .504 .360 .186 .195 .330 .400 .610 .525 .548 .396 .281 .104 .142 r_peak,r_snr = .2207606 3.9199 Correlation Surface of oversamples image at 346 4246 .178 .379 .688 .914 .920 .859 .849 .852 .772 .177 .382 .695 .923 .940 .894 .887 .881 .789 .178 .389 .706 .934 .962 .931 .925 .910 .804 .185 .404 .721 .946 .985 .967 .962 .934 .814 .198 .423 .735 .952 1.000 .994 .989 .947 .814 .210 .439 .740 .944 .995 .999 .993 .939 .797 .225 .452 .734 .919 .969 .978 .972 .909 .764 .249 .472 .730 .891 .933 .944 .937 .869 .727 .282 .496 .725 .857 .885 .893 .886 .817 .684 346 -.781 4246 2.219 3.91990 .122416 3.440597 .515007 Correlation Surface at 446 4246 .089 .128 .133 .206 .424 .253 .088 .072 .012 .075 .100 .125 .273 .591 .319 .081 .050 .009 .058 .081 .130 .352 .769 .391 .080 .041 .013 .041 .076 .157 .433 .918 .449 .085 .048 .030 .029 .090 .212 .500 1.000 .480 .097 .073 .063 .022 .122 .287 .535 1.000 .485 .116 .118 .112 .020 .165 .355 .525 .927 .471 .137 .174 .161 .021 .195 .379 .475 .814 .447 .152 .220 .187 .024 .195 .347 .406 .695 .433 .159 .238 .174 r_peak,r_snr = .2295102 6.79375 Correlation Surface of oversamples image at 446 4246 .039 .123 .370 .734 .815 .512 .187 .061 .055 .048 .145 .423 .819 .885 .528 .178 .053 .050 .059 .168 .472 .896 .944 .541 .172 .050 .051 .072 .189 .513 .955 .985 .546 .169 .051 .055 .085 .206 .541 .988 1.000 .542 .167 .055 .063 .097 .219 .554 .995 .989 .530 .167 .061 .074 .109 .227 .555 .979 .958 .511 .169 .071 .089 .122 .235 .549 .946 .913 .493 .176 .086 .111 .134 .239 .534 .895 .853 .469 .183 .103 .135 446 .250 4246 1.250 6.79375 .006907 .827779 .017125 Correlation Surface at 546 4246 .226 .309 .322 .311 .642 .945 .753 .711 .618 .214 .309 .322 .368 .767 .974 .676 .646 .572 .202 .300 .327 .434 .886 .982 .615 .599 .535 .196 .290 .344 .499 .970 .975 .588 .582 .516 .200 .285 .373 .548 1.000 .963 .604 .597 .516 .210 .291 .411 .568 .965 .957 .666 .634 .528 .222 .305 .447 .553 .873 .954 .760 .675 .543 .230 .323 .476 .514 .753 .945 .860 .704 .554 .234 .343 .497 .470 .635 .925 .940 .716 .560 r_peak,r_snr = .3589853 3.09784 Correlation Surface of oversamples image at 546 4246 .225 .291 .466 .725 .895 .843 .664 .542 .541 .243 .328 .527 .795 .944 .858 .654 .523 .521 .260 .363 .581 .850 .978 .863 .644 .509 .507 .275 .393 .623 .889 .997 .862 .637 .503 .503 .288 .415 .650 .908 1.000 .857 .636 .508 .508 .299 .428 .658 .903 .987 .850 .643 .524 .522 .307 .431 .647 .876 .959 .840 .657 .548 .543 .312 .424 .619 .831 .919 .830 .677 .581 .570 .314 .413 .583 .777 .875 .824 .707 .623 .601 546 -.563 4246 7.219 3.09784 .009431 .403142 .022645 Correlation Surface at 646 4246 .361 .329 .275 .465 .828 .819 .528 .300 .323 .350 .305 .275 .523 .902 .893 .546 .302 .330 .322 .278 .288 .580 .957 .927 .546 .315 .347 .283 .259 .314 .627 .990 .928 .539 .339 .370 .249 .253 .341 .652 1.000 .908 .533 .366 .392 .230 .257 .356 .652 .986 .878 .531 .388 .408 .232 .268 .353 .629 .951 .846 .527 .399 .415 .251 .283 .336 .592 .899 .815 .518 .397 .413 .279 .299 .320 .552 .836 .779 .502 .383 .402 r_peak,r_snr = .4197643 2.89378 Correlation Surface of oversamples image at 646 4246 .281 .412 .622 .830 .922 .854 .686 .499 .351 .289 .435 .656 .865 .960 .893 .714 .512 .356 .297 .456 .683 .890 .986 .918 .729 .516 .358 .305 .475 .704 .906 .999 .928 .731 .512 .357 .314 .491 .716 .911 1.000 .924 .720 .501 .354 .321 .502 .722 .908 .991 .908 .699 .485 .351 .330 .511 .723 .901 .975 .884 .672 .467 .349 .338 .519 .723 .892 .957 .857 .644 .451 .349 .347 .526 .721 .880 .938 .829 .618 .438 .350 646 .531 4246 .219 2.89378 .010786 1.860603 .085555 Correlation Surface at 746 4246 .015 .015 .071 .314 .740 .787 .414 .198 .083 .008 .009 .058 .340 .833 .838 .424 .215 .117 .002 .003 .039 .348 .921 .884 .428 .234 .164 .000 .000 .022 .335 .982 .912 .422 .252 .215 .000 .000 .013 .316 1.000 .909 .406 .261 .257 .000 .000 .014 .306 .974 .870 .377 .253 .276 .000 .001 .026 .315 .925 .802 .336 .228 .269 .002 .009 .054 .341 .864 .718 .285 .194 .244 .006 .024 .093 .373 .802 .634 .235 .162 .213 r_peak,r_snr = .2943129 6.02708 Correlation Surface of oversamples image at 746 4246 .096 .297 .584 .830 .898 .764 .542 .364 .268 .093 .306 .614 .873 .935 .784 .548 .367 .278 .091 .313 .639 .909 .967 .800 .553 .370 .287 .090 .317 .656 .936 .990 .811 .553 .369 .291 .089 .318 .662 .949 1.000 .810 .547 .363 .290 .089 .315 .658 .948 .995 .799 .533 .350 .280 .093 .314 .652 .940 .984 .783 .517 .335 .267 .100 .316 .645 .926 .964 .760 .496 .317 .251 .106 .312 .625 .893 .923 .721 .464 .289 .226 746 .344 4246 .656 6.02708 .005415 1.462745 -.003141 Correlation Surface at 846 4246 .012 .038 .008 .040 .401 .565 .060 .002 .003 .018 .123 .129 .183 .576 .639 .064 .000 .005 .023 .257 .381 .422 .769 .737 .120 .009 .000 .029 .406 .633 .627 .926 .826 .257 .075 .022 .039 .516 .715 .657 1.000 .880 .472 .249 .113 .051 .523 .576 .498 .968 .867 .688 .486 .245 .056 .405 .303 .269 .844 .779 .795 .639 .318 .048 .227 .074 .100 .666 .637 .747 .597 .270 .037 .091 .000 .032 .510 .501 .596 .410 .142 r_peak,r_snr = .1277683 5.38449 Correlation Surface of oversamples image at 846 4246 .007 .018 .093 .381 .802 .778 .300 .015 .019 .047 .072 .176 .491 .886 .819 .321 .022 .012 .119 .155 .279 .599 .954 .845 .341 .036 .003 .200 .247 .380 .691 .990 .843 .354 .058 .001 .266 .327 .467 .760 1.000 .816 .362 .091 .016 .307 .384 .534 .812 .995 .781 .373 .142 .060 .308 .403 .569 .838 .974 .740 .389 .211 .140 .261 .373 .562 .830 .928 .687 .404 .293 .248 .184 .308 .523 .799 .869 .631 .419 .382 .373 846 -.375 4246 -11.531 5.38449 .139992 2.293946 -.295160 Correlation Surface at 1046 4246 .018 .235 .449 .619 .727 .475 .091 .006 .033 .045 .290 .452 .584 .760 .544 .097 .003 .045 .101 .346 .438 .578 .846 .593 .091 .000 .058 .150 .362 .401 .599 .948 .601 .085 .002 .076 .138 .313 .361 .641 1.000 .569 .089 .015 .103 .065 .221 .339 .687 .953 .518 .118 .047 .148 .005 .137 .355 .708 .800 .466 .182 .100 .218 .012 .089 .405 .673 .581 .415 .272 .168 .316 .049 .078 .467 .577 .367 .364 .357 .240 .424 r_peak,r_snr = .141431 6.11123 Correlation Surface of oversamples image at 1046 4246 .435 .596 .678 .789 .831 .634 .375 .217 .127 .472 .635 .731 .860 .903 .680 .389 .219 .128 .490 .659 .777 .925 .962 .715 .403 .227 .136 .485 .664 .813 .974 .999 .735 .417 .243 .152 .457 .648 .827 .995 1.000 .731 .425 .262 .173 .414 .619 .827 .994 .975 .714 .435 .290 .203 .376 .599 .835 .993 .949 .706 .465 .344 .256 .340 .581 .834 .972 .903 .690 .501 .414 .327 .293 .539 .790 .893 .806 .637 .516 .472 .390 1046 .781 4246 6.375 6.11123 .038675 1.970069 .136099 Correlation Surface at 1146 4246 .035 .141 .002 .105 .920 .738 .039 .174 .281 .080 .079 .038 .228 1.000 .734 .031 .178 .322 .130 .031 .098 .339 .985 .724 .039 .137 .282 .155 .005 .142 .413 .906 .678 .058 .062 .191 .143 .000 .142 .435 .756 .556 .082 .007 .095 .105 .005 .096 .394 .542 .366 .099 .007 .030 r_peak,r_snr = .1113188 7.42417 Correlation Surface of oversamples image at 1146 4246 .002 .032 .143 .438 .811 .845 .524 .186 .023 .006 .048 .191 .530 .899 .880 .514 .165 .016 .011 .066 .242 .614 .963 .895 .501 .150 .013 .015 .084 .290 .680 .994 .886 .480 .138 .013 .018 .101 .333 .728 1.000 .859 .456 .130 .015 .023 .121 .377 .767 .993 .830 .439 .130 .021 .027 .140 .413 .783 .961 .787 .417 .132 .030 .025 .148 .424 .758 .888 .710 .374 .125 .038 .022 .148 .417 .707 .790 .613 .316 .111 .044 1146 9.125 4246 -13.250 7.42417 .074168 4.543548 .481127 Correlation Surface at 1246 4246 .649 .781 .716 .787 .893 .753 .634 .451 .300 .678 .814 .722 .808 .930 .765 .638 .447 .290 .718 .844 .741 .842 .966 .773 .637 .446 .289 .752 .859 .762 .877 .992 .772 .627 .448 .297 .768 .851 .773 .901 1.000 .757 .610 .456 .312 .762 .825 .773 .906 .985 .727 .591 .472 .332 .737 .792 .766 .892 .947 .688 .579 .493 .357 .702 .772 .765 .864 .894 .652 .583 .518 .380 .671 .777 .778 .834 .840 .633 .612 .546 .398 r_peak,r_snr = .4172895 2.727 Correlation Surface of oversamples image at 1246 4246 .731 .750 .812 .897 .951 .944 .873 .771 .676 .740 .767 .837 .923 .972 .958 .883 .781 .690 .749 .784 .860 .945 .989 .969 .889 .788 .702 .755 .797 .878 .961 1.000 .974 .891 .791 .711 .756 .805 .887 .967 1.000 .971 .887 .789 .714 .753 .807 .890 .964 .992 .961 .876 .782 .714 .750 .808 .889 .957 .982 .949 .864 .773 .714 .748 .807 .884 .947 .968 .933 .849 .763 .712 .741 .799 .871 .926 .945 .911 .829 .749 .707 1246 .000 4246 -8.750 2.72700 .018787 2.109007 .127882 Correlation Surface at 1446 4246 .400 .382 .395 .558 .686 .623 .483 .379 .275 .386 .365 .378 .610 .787 .631 .486 .384 .278 .377 .362 .387 .693 .897 .647 .497 .376 .275 .375 .368 .417 .780 .977 .668 .517 .358 .269 .383 .383 .459 .843 1.000 .693 .548 .340 .261 .399 .405 .505 .865 .971 .725 .592 .336 .257 .418 .431 .548 .852 .918 .764 .647 .351 .258 .434 .457 .576 .815 .869 .805 .700 .380 .263 .443 .480 .589 .775 .847 .843 .738 .414 .268 r_peak,r_snr = .4091312 2.83235 Correlation Surface of oversamples image at 1446 4246 .324 .377 .521 .723 .880 .837 .627 .437 .341 .322 .398 .573 .793 .933 .852 .625 .441 .355 .324 .422 .624 .856 .972 .858 .621 .446 .368 .330 .447 .671 .906 .996 .854 .616 .452 .379 .339 .471 .709 .938 1.000 .843 .612 .462 .389 .347 .490 .732 .947 .986 .824 .610 .473 .399 .350 .498 .736 .933 .954 .799 .608 .487 .407 .351 .497 .724 .901 .913 .774 .611 .504 .416 .351 .492 .703 .862 .872 .758 .625 .530 .431 1446 -.125 4246 3.750 2.83235 .007001 .402840 .005556 Correlation Surface at 1546 4246 .092 .181 .317 .613 .883 .735 .409 .305 .332 .088 .191 .332 .638 .915 .756 .425 .324 .333 .092 .206 .354 .678 .956 .786 .448 .340 .320 .099 .219 .378 .716 .990 .822 .484 .354 .296 .106 .229 .399 .736 1.000 .855 .528 .363 .268 .113 .238 .414 .730 .984 .874 .569 .365 .243 .119 .253 .424 .701 .944 .878 .596 .360 .227 .127 .271 .423 .648 .885 .869 .602 .352 .222 .135 .286 .408 .581 .818 .852 .589 .342 .227 r_peak,r_snr = .3832173 3.68692 Correlation Surface of oversamples image at 1546 4246 .391 .544 .741 .903 .921 .801 .621 .474 .394 .412 .564 .765 .929 .946 .822 .640 .493 .409 .436 .588 .790 .954 .971 .845 .662 .514 .425 .458 .608 .810 .975 .991 .866 .684 .534 .438 .475 .620 .819 .982 1.000 .880 .702 .552 .447 .485 .623 .817 .978 1.000 .888 .718 .568 .453 .491 .624 .814 .972 1.000 .898 .738 .585 .459 .492 .618 .804 .962 .997 .909 .757 .600 .462 .480 .599 .780 .937 .982 .910 .769 .607 .456 1546 .313 4246 7.563 3.68692 .011303 1.841047 -.043652 Correlation Surface at 1746 4246 .023 .001 .001 .061 .275 .149 .019 .010 .001 .001 .000 .000 .096 .472 .281 .035 .013 .000 .012 .007 .001 .166 .705 .414 .055 .011 .000 .059 .024 .014 .295 .905 .483 .067 .009 .003 .111 .048 .058 .480 1.000 .458 .062 .007 .005 .129 .067 .139 .682 .965 .369 .045 .007 .006 .104 .074 .229 .829 .824 .264 .031 .006 .007 .060 .070 .279 .863 .639 .181 .025 .002 .011 .024 .061 .262 .779 .468 .129 .029 .001 .023 r_peak,r_snr = .1818236 9.68427 Correlation Surface of oversamples image at 1746 4246 .088 .108 .228 .418 .630 .800 .814 .559 .223 .113 .155 .320 .547 .754 .873 .809 .508 .185 .133 .199 .411 .668 .858 .914 .770 .438 .142 .152 .245 .500 .780 .946 .934 .718 .370 .108 .165 .281 .571 .864 1.000 .923 .649 .302 .080 .159 .288 .595 .889 .995 .862 .550 .227 .053 .140 .270 .576 .862 .943 .768 .441 .158 .032 .132 .261 .560 .841 .904 .698 .366 .120 .026 1746 .125 4246 -5.125 9.68427 .033229 .945221 .149516 Correlation Surface at 1846 4246 .490 .518 .522 .549 .679 .681 .490 .461 .414 .512 .549 .530 .578 .767 .748 .526 .465 .427 .520 .557 .527 .627 .874 .823 .578 .480 .447 .507 .540 .511 .682 .964 .880 .633 .501 .465 .480 .503 .488 .726 1.000 .898 .676 .520 .470 .456 .464 .466 .744 .967 .880 .704 .527 .463 .448 .435 .453 .733 .876 .841 .715 .522 .445 .457 .416 .452 .698 .759 .798 .712 .502 .418 .472 .406 .458 .650 .650 .763 .700 .471 .388 r_peak,r_snr = .3667139 1.71518 Correlation Surface of oversamples image at 1846 4246 .604 .774 .900 .958 .921 .801 .641 .500 .405 .629 .802 .920 .976 .951 .839 .669 .515 .413 .648 .821 .933 .989 .977 .871 .692 .527 .421 .659 .831 .936 .994 .995 .894 .707 .534 .426 .663 .829 .927 .988 1.000 .904 .713 .536 .426 .659 .820 .910 .974 .995 .904 .712 .534 .425 .648 .800 .883 .948 .979 .894 .703 .528 .420 .624 .764 .839 .906 .945 .867 .682 .512 .406 .589 .715 .781 .848 .896 .827 .653 .490 .388 1846 9.813 4246 -10.188 1.71518 .014197 .326582 .017397 Correlation Surface at 1946 4246 .004 .009 .039 .101 .303 .063 .013 .083 .107 .010 .020 .061 .212 .504 .068 .033 .098 .072 .019 .035 .079 .339 .739 .082 .045 .083 .032 .028 .048 .087 .457 .928 .095 .048 .050 .006 .034 .055 .090 .555 1.000 .095 .047 .021 .001 .033 .051 .095 .622 .940 .082 .044 .005 .011 .028 .038 .106 .660 .809 .065 .035 .000 .021 .022 .024 .124 .673 .684 .054 .022 .000 .019 .020 .017 .142 .666 .601 .050 .009 .000 .009 r_peak,r_snr = .1704835 10.81065 Correlation Surface of oversamples image at 1946 4246 .008 .029 .083 .298 .696 .773 .354 .031 .017 .012 .037 .106 .360 .806 .880 .408 .041 .015 .015 .044 .130 .421 .900 .958 .445 .048 .013 .016 .051 .155 .478 .969 .999 .459 .050 .013 .014 .054 .176 .520 1.000 .995 .448 .047 .015 .011 .054 .192 .545 .995 .952 .412 .038 .019 .009 .058 .212 .569 .978 .895 .370 .029 .023 .007 .063 .234 .586 .945 .826 .325 .021 .026 .004 .061 .236 .566 .867 .722 .264 .011 .033 1946 -.250 4246 2.375 10.81066 .006744 .707425 .026723 Correlation Surface at 2046 4246 .092 .023 .059 .264 .445 .188 .034 .003 .004 .040 .011 .076 .341 .622 .327 .038 .003 .006 .010 .007 .079 .368 .829 .496 .038 .001 .016 .002 .009 .070 .361 .981 .582 .029 .000 .041 .002 .024 .061 .349 1.000 .512 .013 .000 .082 .008 .058 .058 .353 .881 .326 .001 .003 .133 .027 .113 .063 .375 .680 .137 .004 .009 .174 .051 .183 .077 .390 .470 .028 .020 .017 .187 .067 .244 .086 .366 .305 .000 .043 .027 .170 r_peak,r_snr = .1493563 11.74446 Correlation Surface of oversamples image at 2046 4246 .133 .217 .334 .528 .714 .648 .347 .086 .006 .130 .198 .317 .557 .812 .759 .401 .093 .007 .126 .179 .306 .590 .903 .851 .434 .091 .006 .119 .163 .299 .621 .971 .906 .436 .079 .004 .110 .148 .296 .643 1.000 .902 .399 .057 .001 .100 .139 .300 .657 .984 .838 .328 .032 .000 .097 .141 .318 .671 .943 .739 .246 .012 .002 .097 .149 .340 .673 .870 .612 .162 .001 .009 .093 .152 .349 .644 .754 .458 .082 .004 .024 2046 .188 4246 -1.594 11.74446 .017058 .908909 .066561 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .056 .292 .381 .525 .796 .697 .260 .089 .063 .055 .297 .433 .616 .854 .785 .334 .153 .082 .051 .293 .492 .726 .917 .851 .380 .209 .106 .049 .283 .533 .820 .973 .880 .390 .242 .131 .047 .264 .528 .860 1.000 .860 .367 .246 .146 .048 .239 .472 .832 .978 .784 .322 .230 .140 .053 .216 .389 .752 .906 .660 .265 .196 .108 .065 .205 .309 .656 .803 .514 .204 .153 .066 .086 .206 .256 .579 .698 .385 .155 .112 .032 r_peak,r_snr = .2579767 5.07458 Correlation Surface of oversamples image at 146 4646 .319 .414 .541 .704 .847 .891 .838 .738 .585 .324 .440 .593 .772 .908 .935 .875 .769 .610 .322 .458 .636 .829 .957 .971 .904 .792 .625 .315 .465 .663 .866 .987 .992 .921 .803 .628 .302 .459 .671 .883 1.000 .998 .925 .802 .621 .281 .439 .659 .879 .992 .986 .911 .782 .597 .254 .407 .629 .853 .963 .951 .873 .741 .556 .231 .375 .594 .820 .927 .909 .825 .689 .509 .211 .342 .554 .780 .886 .861 .768 .628 .456 146 -.250 4646 9.031 5.07458 .084415 1.969362 .231897 Correlation Surface at 246 4646 .146 .202 .292 .431 .477 .491 .756 .879 .605 .200 .269 .359 .528 .634 .600 .819 .848 .544 .268 .341 .444 .655 .800 .698 .858 .764 .459 .335 .403 .532 .783 .937 .771 .874 .657 .360 .381 .436 .595 .856 1.000 .810 .872 .557 .262 .385 .428 .600 .829 .959 .811 .866 .482 .178 r_peak,r_snr = .2262353 3.46538 Correlation Surface of oversamples image at 246 4646 .450 .546 .660 .762 .809 .821 .824 .821 .786 .482 .589 .720 .834 .883 .885 .866 .829 .754 .507 .624 .771 .894 .942 .935 .899 .833 .725 .518 .645 .806 .936 .982 .969 .922 .835 .701 .514 .646 .818 .954 1.000 .986 .934 .833 .682 .494 .628 .808 .946 .994 .985 .935 .831 .672 .462 .597 .779 .919 .970 .972 .935 .836 .678 .421 .553 .734 .874 .931 .951 .934 .849 .697 .368 .493 .667 .805 .869 .909 .920 .858 .719 246 -.406 4646 13.688 3.46538 .056309 .548952 .002948 Correlation Surface at 446 4646 .140 .147 .166 .337 .738 .870 .701 .152 .027 .122 .136 .170 .420 .840 .884 .671 .164 .037 .099 .119 .171 .488 .926 .913 .620 .152 .035 .074 .099 .166 .526 .980 .950 .550 .120 .022 .050 .076 .155 .541 1.000 .976 .465 .080 .009 .030 .050 .140 .541 .991 .967 .376 .047 .002 .015 .026 .122 .527 .948 .902 .293 .028 .000 .006 .009 .105 .501 .868 .775 .217 .020 .000 .002 .002 .091 .466 .758 .611 .150 .019 .001 r_peak,r_snr = .2214564 5.19742 Correlation Surface of oversamples image at 446 4646 .036 .131 .368 .657 .803 .788 .694 .548 .337 .048 .164 .434 .738 .875 .843 .728 .553 .320 .060 .197 .492 .806 .936 .895 .765 .560 .304 .071 .227 .538 .853 .980 .938 .799 .567 .289 .081 .250 .566 .874 1.000 .965 .824 .566 .271 .084 .261 .574 .869 .995 .970 .830 .553 .247 .082 .261 .565 .844 .969 .957 .817 .525 .219 .076 .256 .548 .809 .934 .932 .790 .490 .191 .068 .244 .521 .761 .882 .888 .744 .443 .162 446 -.875 4646 2.219 5.19742 .025951 7.010579 .006863 Correlation Surface at 546 4646 .219 .342 .481 .738 .761 .456 .278 .251 .191 .208 .332 .480 .785 .850 .511 .291 .238 .180 .196 .312 .462 .816 .926 .549 .294 .224 .174 .184 .280 .430 .830 .979 .569 .291 .211 .173 .172 .240 .391 .826 1.000 .571 .286 .202 .175 .159 .199 .354 .809 .989 .566 .284 .195 .177 .144 .161 .324 .779 .952 .560 .282 .189 .175 .128 .131 .300 .738 .905 .560 .282 .181 .168 .112 .111 .279 .687 .861 .566 .283 .173 .158 r_peak,r_snr = .4730832 4.83566 Correlation Surface of oversamples image at 546 4646 .407 .512 .682 .867 .959 .880 .676 .459 .310 .387 .494 .672 .871 .977 .904 .697 .474 .318 .364 .473 .659 .871 .991 .924 .715 .488 .327 .340 .452 .644 .868 .998 .938 .729 .500 .337 .317 .430 .628 .861 1.000 .945 .739 .511 .347 .293 .408 .611 .849 .995 .946 .744 .520 .356 .269 .386 .591 .832 .983 .941 .745 .525 .363 .248 .365 .571 .814 .968 .932 .744 .531 .370 .229 .345 .551 .793 .949 .921 .742 .535 .376 546 -.375 4646 -.938 4.83566 .003003 .611705 -.004651 Correlation Surface at 646 4646 .572 .682 .749 .828 .774 .538 .305 .176 .150 .597 .706 .790 .878 .845 .600 .337 .183 .149 .601 .711 .821 .926 .915 .666 .378 .194 .150 .581 .696 .836 .961 .971 .729 .423 .207 .156 .543 .664 .827 .968 1.000 .781 .465 .220 .167 .493 .626 .795 .938 .997 .812 .498 .234 .183 .442 .588 .743 .874 .962 .818 .522 .250 .200 .395 .555 .681 .790 .903 .798 .536 .270 .216 .357 .526 .617 .703 .831 .760 .542 .294 .227 r_peak,r_snr = .5018922 3.26331 Correlation Surface of oversamples image at 646 4646 .633 .741 .837 .909 .926 .854 .719 .569 .421 .624 .740 .844 .927 .953 .889 .757 .602 .445 .613 .735 .846 .938 .974 .920 .792 .633 .468 .601 .726 .843 .943 .991 .947 .825 .664 .492 .588 .713 .833 .941 1.000 .968 .853 .691 .515 .573 .696 .815 .929 1.000 .980 .874 .714 .535 .557 .673 .791 .909 .991 .985 .888 .731 .553 .542 .649 .762 .885 .979 .986 .899 .747 .572 .525 .621 .729 .856 .961 .981 .903 .759 .589 646 -.344 4646 .375 3.26331 .019472 .589488 -.072997 Correlation Surface at 746 4646 .157 .066 .085 .383 .625 .057 .013 .001 .017 .186 .068 .066 .379 .755 .137 .000 .003 .019 .186 .057 .040 .379 .887 .235 .012 .022 .016 .156 .035 .023 .395 .985 .313 .040 .049 .012 .106 .013 .017 .416 1.000 .344 .075 .069 .011 .052 .001 .019 .409 .899 .330 .107 .072 .015 .014 .000 .030 .343 .702 .293 .127 .061 .025 .001 .001 .046 .232 .472 .256 .138 .045 .039 .002 .000 .062 .122 .279 .226 .138 .031 .052 r_peak,r_snr = .1532449 6.3234 Correlation Surface of oversamples image at 746 4646 .003 .046 .212 .530 .787 .716 .419 .187 .101 .000 .038 .219 .575 .874 .823 .508 .244 .140 .000 .033 .229 .614 .944 .904 .575 .287 .172 .001 .034 .242 .645 .988 .949 .609 .311 .196 .001 .037 .255 .661 1.000 .953 .609 .315 .207 .001 .044 .264 .656 .973 .913 .574 .298 .205 .000 .053 .266 .626 .908 .832 .511 .266 .194 .002 .069 .267 .583 .821 .733 .442 .236 .186 .009 .087 .261 .524 .716 .626 .375 .210 .179 746 -7.813 4646 -8.125 6.32340 .009828 1.114873 -.001627 Correlation Surface at 846 4646 .374 .504 .708 .677 .602 .452 .119 .069 .192 .309 .464 .720 .735 .734 .557 .115 .054 .142 .256 .429 .712 .806 .889 .665 .124 .044 .090 .220 .396 .684 .871 .999 .719 .138 .034 .048 .200 .363 .642 .906 1.000 .674 .142 .024 .021 .188 .329 .595 .894 .882 .540 .126 .016 .009 .180 .298 .555 .843 .705 .376 .100 .012 .005 .180 .274 .528 .782 .549 .248 .078 .015 .009 .191 .265 .516 .736 .458 .181 .071 .027 .024 r_peak,r_snr = .2337299 3.8565 Correlation Surface of oversamples image at 846 4646 .639 .642 .687 .752 .748 .561 .270 .092 .055 .649 .670 .738 .830 .838 .633 .310 .110 .064 .657 .700 .790 .899 .914 .697 .352 .132 .075 .661 .727 .835 .954 .969 .748 .393 .156 .088 .666 .753 .871 .989 1.000 .781 .429 .183 .102 .675 .776 .894 .998 1.000 .793 .458 .211 .117 .683 .792 .898 .975 .963 .776 .473 .232 .129 .682 .793 .878 .920 .891 .728 .467 .242 .134 .679 .786 .843 .846 .798 .661 .446 .244 .136 846 -.719 4646 8.250 3.85650 .044758 .437217 .074298 Correlation Surface at 946 4646 .071 .200 .514 .808 .845 .737 .444 .080 .030 .074 .197 .511 .828 .899 .772 .435 .073 .034 .085 .207 .513 .850 .950 .772 .393 .067 .037 .105 .225 .517 .866 .988 .734 .333 .064 .037 .132 .244 .519 .867 1.000 .669 .274 .063 .036 .154 .255 .515 .843 .978 .591 .229 .067 .034 .157 .253 .504 .795 .918 .513 .202 .075 .034 .140 .244 .488 .734 .831 .449 .195 .087 .038 .112 .233 .473 .678 .738 .406 .207 .106 .048 r_peak,r_snr = .341555 5.75331 Correlation Surface of oversamples image at 946 4646 .398 .565 .726 .860 .916 .866 .730 .515 .265 .401 .575 .750 .897 .953 .890 .737 .510 .259 .404 .584 .771 .926 .979 .903 .735 .499 .250 .406 .591 .786 .947 .994 .906 .723 .480 .239 .408 .596 .797 .959 1.000 .900 .704 .458 .227 .411 .601 .805 .965 .999 .887 .679 .434 .218 .414 .605 .807 .963 .991 .868 .650 .410 .210 .415 .604 .801 .951 .973 .842 .617 .386 .205 .413 .597 .787 .929 .946 .808 .581 .362 .200 946 .875 4646 -9.750 5.75331 .023119 1.905060 .152608 Correlation Surface at 1046 4646 .637 .534 .667 .415 .282 .526 .327 .209 .149 .483 .350 .516 .469 .463 .639 .317 .162 .168 .324 .188 .385 .547 .691 .748 .326 .122 .159 .194 .091 .300 .622 .901 .839 .364 .101 .125 .109 .050 .265 .646 1.000 .888 .430 .104 .081 r_peak,r_snr = .1974685 3.11104 Correlation Surface of oversamples image at 1046 4646 .586 .805 .859 .799 .704 .556 .326 .153 .089 .545 .764 .861 .859 .808 .666 .402 .191 .105 .487 .692 .826 .888 .891 .763 .474 .231 .123 .431 .612 .774 .900 .959 .849 .543 .276 .146 .375 .527 .706 .888 1.000 .910 .599 .320 .171 .309 .425 .606 .827 .980 .912 .618 .345 .186 .241 .321 .490 .726 .903 .858 .601 .356 .194 .204 .257 .414 .656 .843 .816 .598 .385 .222 1046 -4.938 4646 15.875 3.11104 .039820 .375261 -.017564 Correlation Surface at 1246 4646 .131 .188 .337 .586 .806 .839 .596 .495 .333 .128 .204 .373 .650 .890 .888 .589 .482 .330 .139 .231 .407 .703 .960 .923 .591 .478 .330 .163 .266 .436 .738 .999 .937 .602 .485 .334 .193 .304 .457 .753 1.000 .931 .622 .500 .342 .219 .334 .468 .750 .974 .915 .649 .518 .348 .232 .350 .467 .734 .935 .900 .677 .529 .346 .229 .347 .456 .714 .899 .890 .701 .527 .332 .216 .330 .441 .698 .876 .889 .719 .511 .311 r_peak,r_snr = .4918297 3.86682 Correlation Surface of oversamples image at 1246 4646 .413 .546 .712 .877 .947 .857 .682 .529 .428 .428 .568 .740 .910 .975 .874 .690 .532 .430 .438 .584 .762 .933 .992 .883 .693 .535 .434 .445 .595 .776 .947 1.000 .885 .695 .539 .441 .451 .603 .787 .954 1.000 .881 .695 .545 .451 .455 .609 .792 .954 .993 .873 .694 .552 .462 .455 .609 .790 .945 .978 .859 .690 .557 .473 .454 .606 .784 .932 .957 .843 .685 .562 .482 .455 .605 .779 .920 .939 .828 .682 .569 .492 1246 -.594 4646 8.188 3.86682 .008283 .726804 .021198 Correlation Surface at 1346 4646 .444 .328 .298 .716 .812 .549 .294 .210 .186 .438 .382 .351 .765 .877 .651 .354 .235 .189 .407 .443 .411 .813 .941 .714 .403 .270 .209 .362 .500 .465 .848 .986 .729 .436 .315 .248 .319 .533 .494 .854 1.000 .714 .457 .369 .304 .288 .523 .482 .824 .982 .692 .479 .431 .370 .270 .466 .428 .766 .944 .684 .511 .496 .434 .260 .380 .342 .692 .893 .698 .552 .556 .480 .256 .289 .253 .618 .842 .726 .590 .601 .503 r_peak,r_snr = .3030633 3.6813 Correlation Surface of oversamples image at 1346 4646 .324 .377 .561 .791 .894 .803 .642 .505 .417 .369 .417 .599 .836 .943 .849 .678 .539 .455 .414 .455 .636 .875 .980 .878 .700 .565 .494 .449 .483 .661 .900 .998 .885 .704 .581 .528 .476 .502 .676 .911 1.000 .877 .696 .592 .562 .495 .514 .684 .913 .991 .859 .685 .605 .603 .503 .517 .684 .905 .972 .835 .673 .620 .648 .494 .507 .671 .884 .942 .804 .659 .634 .690 .471 .486 .649 .855 .906 .773 .648 .651 .731 1346 -.063 4646 1.219 3.68130 .017266 2.583319 .026479 Correlation Surface at 1446 4646 .227 .364 .664 .966 .755 .439 .214 .238 .143 .222 .373 .688 .991 .841 .440 .199 .209 .133 .243 .370 .654 .958 .927 .451 .209 .206 .132 .275 .341 .588 .890 .986 .468 .248 .232 .141 .293 .292 .514 .807 1.000 .489 .312 .280 .160 .275 .233 .446 .720 .957 .507 .385 .331 .185 .221 .177 .388 .633 .860 .512 .445 .368 .205 .155 .137 .337 .551 .727 .494 .471 .376 .209 .102 .112 .286 .474 .578 .444 .458 .353 .190 r_peak,r_snr = .253259 4.56676 Correlation Surface of oversamples image at 1446 4646 .757 .852 .868 .892 .904 .776 .565 .445 .471 .734 .830 .863 .916 .937 .791 .569 .464 .516 .705 .803 .855 .937 .968 .808 .580 .492 .571 .671 .770 .844 .953 .994 .824 .595 .527 .632 .622 .724 .817 .950 1.000 .828 .608 .562 .688 .566 .667 .776 .929 .987 .820 .618 .596 .737 .521 .623 .743 .910 .976 .821 .641 .641 .790 .483 .586 .714 .889 .961 .823 .672 .693 .842 .432 .533 .661 .834 .909 .797 .682 .722 .859 1446 -.125 4646 10.344 4.56676 .020575 1.586296 -.128801 Correlation Surface at 1646 4646 .285 .479 .584 .687 .763 .694 .601 .489 .382 .308 .443 .544 .732 .844 .742 .585 .417 .328 .317 .402 .518 .776 .923 .798 .584 .374 .303 .310 .364 .510 .811 .979 .843 .589 .354 .303 .298 .341 .525 .837 1.000 .861 .593 .351 .324 .293 .339 .559 .856 .982 .851 .596 .361 .361 .300 .354 .599 .868 .932 .822 .595 .382 .404 .317 .378 .630 .863 .864 .785 .592 .418 .444 .337 .403 .645 .840 .801 .750 .597 .464 .472 r_peak,r_snr = .3416337 2.69204 Correlation Surface of oversamples image at 1646 4646 .403 .515 .684 .843 .916 .890 .805 .693 .556 .405 .536 .720 .886 .958 .931 .839 .709 .550 .409 .555 .750 .917 .986 .956 .859 .713 .539 .416 .575 .774 .937 .999 .966 .863 .708 .527 .430 .598 .796 .948 1.000 .960 .853 .693 .514 .445 .619 .811 .948 .985 .937 .827 .669 .499 .457 .631 .813 .932 .952 .895 .785 .635 .482 .466 .637 .806 .906 .907 .842 .735 .600 .466 .478 .645 .800 .879 .861 .789 .688 .571 .458 1646 .031 4646 -8.813 2.69204 .025878 1.275941 .046271 Correlation Surface at 1746 4646 .231 .233 .299 .543 .730 .586 .334 .162 .189 .266 .224 .302 .599 .795 .630 .349 .187 .243 .277 .209 .314 .671 .890 .679 .355 .219 .302 .246 .186 .333 .743 .969 .709 .353 .258 .358 .187 .163 .365 .806 1.000 .703 .346 .304 .405 .128 .150 .416 .854 .964 .660 .342 .351 .433 .089 .154 .488 .883 .868 .597 .347 .395 .434 .075 .174 .574 .889 .739 .536 .367 .433 .406 .082 .206 .656 .873 .621 .494 .409 .467 .358 r_peak,r_snr = .2637487 4.04094 Correlation Surface of oversamples image at 1746 4646 .374 .541 .693 .844 .935 .928 .795 .548 .300 .360 .536 .703 .865 .963 .953 .812 .556 .303 .346 .531 .712 .884 .983 .968 .821 .563 .309 .337 .533 .726 .902 .994 .972 .822 .568 .320 .339 .546 .748 .921 1.000 .967 .820 .577 .337 .349 .568 .772 .932 .991 .947 .808 .584 .360 .364 .592 .789 .925 .954 .902 .780 .586 .384 .388 .621 .801 .900 .894 .835 .739 .583 .410 .423 .658 .814 .868 .827 .764 .698 .585 .442 1746 -.844 4646 -1.781 4.04094 .028081 1.000424 .096733 Correlation Surface at 1846 4646 .119 .296 .552 .515 .710 .511 .347 .324 .458 .168 .304 .492 .451 .775 .648 .432 .340 .461 .236 .313 .431 .427 .877 .804 .483 .335 .428 .313 .318 .374 .425 .970 .920 .486 .318 .375 .387 .319 .324 .423 1.000 .949 .450 .311 .331 .439 .316 .280 .403 .943 .888 .401 .332 .312 .455 .311 .246 .364 .819 .780 .371 .390 .326 .430 .300 .221 .320 .674 .673 .374 .478 .366 .377 .282 .211 .295 .555 .598 .409 .575 .411 r_peak,r_snr = .2525142 2.18881 Correlation Surface of oversamples image at 1846 4646 .365 .397 .610 .840 .887 .812 .689 .475 .287 .337 .393 .629 .871 .933 .878 .748 .508 .307 .317 .397 .654 .900 .971 .924 .780 .520 .316 .303 .406 .677 .922 .993 .946 .785 .516 .318 .298 .418 .695 .931 1.000 .947 .771 .505 .321 .295 .426 .697 .919 .984 .923 .739 .487 .323 .287 .420 .671 .875 .939 .875 .690 .463 .324 .276 .399 .620 .806 .873 .812 .638 .441 .330 .266 .373 .561 .731 .808 .756 .598 .433 .350 1846 8.500 4646 -4.750 2.18881 .011449 .585748 .000026 Correlation Surface at 1946 4646 .005 .001 .250 .376 .024 .116 .106 .006 .003 .451 .397 .018 .120 .130 .003 .029 .693 .363 .008 .078 .129 .000 .102 .911 .287 .000 .020 .104 .003 .211 1.000 .182 .013 .001 .074 .012 .293 .910 .070 .066 .030 .055 .014 .286 .679 .003 .159 .063 .051 .005 .192 .395 .028 .262 .067 .055 .000 .077 .155 .141 .332 .050 .058 r_peak,r_snr = .1367889 11.64256 Correlation Surface of oversamples image at 1946 4646 .019 .000 .112 .463 .801 .714 .307 .067 .025 .015 .002 .146 .544 .881 .731 .291 .059 .020 .010 .007 .186 .623 .946 .730 .268 .049 .013 .004 .015 .227 .694 .991 .710 .237 .036 .006 .001 .025 .260 .742 1.000 .659 .193 .021 .001 .000 .032 .280 .757 .960 .573 .138 .006 .001 .000 .038 .285 .740 .879 .463 .082 .000 .014 .001 .041 .282 .702 .772 .349 .035 .009 .040 .001 .040 .262 .633 .640 .235 .006 .039 .080 1946 -13.031 4646 4.906 11.64257 .018607 .858166 .101355 Correlation Surface at 2046 4646 .014 .042 .119 .422 .685 .043 .070 .128 .472 .812 .101 .098 .142 .548 .926 .175 .126 .159 .638 .995 .233 .151 .173 .717 1.000 r_peak,r_snr = .198748 4.97465 Correlation Surface of oversamples image at 2046 4646 .062 .152 .412 .754 .871 .668 .341 .124 .048 .067 .163 .445 .808 .914 .674 .327 .112 .041 .074 .178 .480 .860 .950 .673 .311 .102 .035 .088 .202 .524 .916 .983 .667 .294 .093 .032 .104 .229 .569 .962 1.000 .652 .276 .086 .032 .121 .254 .601 .987 .996 .628 .257 .082 .036 .139 .277 .626 .996 .977 .598 .241 .081 .044 .160 .302 .650 1.000 .953 .568 .228 .086 .059 .178 .322 .665 .992 .918 .536 .217 .094 .080 2046 13.781 4646 12.281 4.97465 .012069 1.746133 .084767 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .003 .015 .136 .488 .719 .569 .405 .229 .088 .003 .016 .142 .498 .792 .654 .435 .244 .103 .004 .016 .146 .527 .876 .714 .447 .271 .126 .005 .016 .151 .575 .955 .732 .438 .304 .153 .006 .015 .156 .628 1.000 .703 .409 .330 .173 .008 .014 .160 .666 .990 .633 .367 .339 .183 .009 .014 .158 .668 .920 .539 .325 .331 .179 .010 .013 .147 .622 .808 .448 .288 .307 .168 .010 .012 .129 .548 .698 .385 .265 .279 .158 r_peak,r_snr = .3559501 6.43237 Correlation Surface of oversamples image at 146 5046 .158 .340 .570 .774 .853 .780 .615 .454 .353 .162 .347 .588 .811 .907 .833 .649 .471 .365 .163 .352 .602 .843 .951 .868 .665 .473 .368 .164 .357 .618 .871 .984 .890 .668 .468 .365 .163 .361 .629 .889 1.000 .892 .657 .452 .356 .158 .358 .629 .887 .988 .866 .623 .422 .336 .151 .351 .620 .868 .952 .816 .574 .383 .310 .145 .345 .610 .843 .908 .762 .526 .348 .287 .139 .336 .592 .806 .852 .702 .478 .315 .266 146 .000 5046 -5.938 6.43237 .009996 .641216 .054788 Correlation Surface at 246 5046 .140 .333 .643 .503 .647 .794 .762 .402 .378 .173 .386 .733 .601 .790 .882 .731 .372 .395 .208 .452 .811 .699 .913 .919 .649 .334 .388 .242 .522 .841 .765 .984 .894 .536 .296 .359 .273 .579 .815 .788 1.000 .827 .427 .264 .318 .299 .619 .754 .781 .977 .750 .349 .239 .277 .313 .635 .683 .762 .935 .678 .308 .219 .243 .311 .624 .623 .739 .881 .620 .298 .200 .211 .295 .599 .589 .730 .835 .586 .316 .188 .181 r_peak,r_snr = .3018234 3.89771 Correlation Surface of oversamples image at 246 5046 .740 .750 .750 .793 .849 .848 .759 .625 .495 .755 .780 .796 .849 .905 .892 .779 .624 .488 .762 .806 .838 .899 .950 .921 .784 .612 .474 .761 .824 .875 .942 .983 .932 .772 .586 .449 .752 .832 .902 .974 1.000 .924 .741 .547 .415 .730 .827 .915 .989 .997 .895 .695 .500 .376 .699 .811 .916 .991 .980 .852 .640 .449 .336 .669 .793 .913 .987 .958 .807 .586 .402 .300 .635 .770 .901 .971 .925 .756 .531 .359 .267 246 -.156 5046 .344 3.89771 .054588 2.395204 .282619 Correlation Surface at 346 5046 .021 .044 .001 .005 .133 .344 .100 .003 .149 .021 .065 .016 .049 .315 .536 .133 .004 .176 .023 .082 .036 .132 .578 .736 .174 .012 .194 .022 .086 .043 .227 .843 .873 .220 .028 .194 .019 .074 .033 .293 1.000 .902 .265 .046 .181 .014 .051 .016 .310 .992 .833 .304 .064 .168 .011 .027 .005 .289 .862 .713 .330 .081 .167 .009 .010 .001 .255 .704 .591 .343 .105 .185 .007 .003 .001 .237 .591 .503 .360 .145 .225 r_peak,r_snr = .1680129 7.02044 Correlation Surface of oversamples image at 346 5046 .058 .129 .325 .555 .675 .617 .397 .168 .048 .071 .166 .410 .679 .790 .682 .419 .176 .052 .080 .200 .494 .796 .887 .728 .435 .188 .059 .082 .229 .570 .897 .960 .757 .449 .204 .070 .078 .248 .626 .968 1.000 .766 .459 .224 .084 .065 .249 .650 .992 .996 .748 .460 .241 .097 .051 .240 .648 .978 .958 .715 .456 .258 .110 .041 .231 .637 .950 .916 .688 .462 .283 .130 .033 .218 .612 .904 .866 .663 .470 .309 .151 346 .250 5046 -3.656 7.02044 .017796 .447703 .025953 Correlation Surface at 546 5046 .007 .019 .149 .508 .849 .448 .149 .095 .080 .001 .018 .131 .535 .903 .436 .183 .122 .087 .000 .016 .107 .554 .944 .466 .239 .151 .094 .004 .013 .088 .568 .978 .544 .315 .177 .104 .007 .011 .076 .571 1.000 .659 .398 .198 .117 .006 .008 .068 .553 .996 .779 .469 .212 .134 .002 .006 .064 .511 .952 .860 .511 .214 .144 .000 .005 .062 .444 .856 .869 .517 .197 .135 .004 .004 .061 .366 .731 .811 .498 .166 .103 r_peak,r_snr = .274456 7.01865 Correlation Surface of oversamples image at 546 5046 .071 .211 .484 .794 .868 .639 .379 .264 .252 .069 .218 .511 .840 .914 .676 .410 .293 .279 .067 .222 .532 .875 .954 .719 .451 .330 .308 .064 .225 .544 .895 .984 .762 .499 .374 .340 .062 .225 .546 .897 1.000 .803 .551 .421 .374 .058 .219 .534 .879 .996 .831 .600 .467 .404 .053 .208 .510 .841 .972 .846 .642 .509 .429 .049 .198 .480 .793 .936 .850 .679 .552 .456 .047 .186 .444 .733 .884 .837 .704 .588 .479 546 -.094 5046 3.031 7.01865 .082894 9.036450 -.825319 Correlation Surface at 646 5046 .003 .026 .179 .544 .776 .597 .276 .065 .009 .004 .027 .191 .601 .857 .629 .274 .063 .011 .006 .029 .201 .655 .933 .656 .270 .061 .013 .007 .032 .209 .689 .985 .675 .265 .059 .015 .008 .034 .210 .693 1.000 .679 .257 .058 .017 .007 .037 .206 .667 .976 .667 .246 .057 .019 .007 .039 .197 .622 .927 .644 .233 .056 .020 .005 .040 .186 .571 .866 .615 .219 .055 .019 .004 .038 .172 .520 .807 .587 .207 .053 .019 r_peak,r_snr = .5821408 8.89493 Correlation Surface of oversamples image at 646 5046 .152 .347 .608 .840 .928 .840 .640 .416 .229 .154 .353 .626 .868 .956 .857 .643 .408 .218 .156 .359 .640 .889 .977 .869 .642 .399 .207 .160 .367 .652 .906 .993 .876 .639 .389 .198 .164 .372 .660 .915 1.000 .878 .634 .380 .189 .167 .373 .658 .911 .994 .869 .622 .367 .180 .169 .371 .650 .898 .979 .855 .608 .354 .172 .172 .370 .640 .882 .962 .841 .596 .345 .166 .174 .366 .626 .859 .939 .824 .585 .336 .161 646 -.063 5046 2.094 8.89493 .001561 .186221 -.001237 Correlation Surface at 746 5046 .326 .372 .500 .723 .829 .658 .360 .323 .341 .327 .357 .482 .755 .893 .686 .350 .291 .311 .320 .354 .470 .781 .954 .694 .335 .273 .291 .304 .361 .464 .790 .994 .681 .322 .274 .292 .279 .365 .460 .778 1.000 .651 .317 .296 .325 .245 .360 .454 .753 .962 .612 .319 .333 .386 .207 .339 .441 .710 .875 .568 .326 .371 .458 .174 .306 .417 .652 .762 .531 .337 .395 .515 r_peak,r_snr = .4166704 3.59121 Correlation Surface of oversamples image at 746 5046 .195 .282 .450 .702 .924 .942 .745 .521 .372 .193 .283 .461 .725 .955 .960 .742 .504 .349 .190 .284 .470 .745 .977 .971 .736 .487 .328 .187 .285 .477 .759 .993 .976 .729 .473 .310 .184 .285 .482 .768 1.000 .975 .722 .461 .296 .180 .284 .484 .770 .998 .966 .711 .452 .287 .176 .283 .483 .765 .985 .948 .698 .445 .282 .172 .282 .479 .753 .959 .919 .681 .441 .283 .169 .281 .475 .735 .926 .884 .664 .442 .290 746 .719 5046 10.219 3.59121 .004857 .526202 .009711 Correlation Surface at 846 5046 .064 .005 .003 .179 .579 .408 .064 .001 .086 .104 .014 .002 .205 .680 .520 .076 .000 .134 .112 .013 .007 .256 .804 .594 .085 .005 .168 .083 .002 .034 .346 .925 .604 .096 .014 .170 .040 .003 .100 .473 1.000 .557 .111 .022 .140 .008 .028 .200 .591 .984 .487 .126 .021 .095 .000 .060 .277 .624 .858 .418 .134 .011 .056 .013 .074 .267 .520 .654 .360 .128 .002 .036 .029 .061 .171 .311 .442 .315 .106 .000 .034 r_peak,r_snr = .1500097 8.54355 Correlation Surface of oversamples image at 846 5046 .051 .156 .262 .446 .706 .822 .748 .613 .391 .078 .224 .359 .554 .799 .870 .744 .568 .340 .111 .299 .463 .666 .886 .901 .724 .517 .288 .147 .375 .565 .771 .960 .916 .696 .468 .243 .179 .436 .642 .847 1.000 .903 .655 .422 .205 .194 .457 .669 .866 .982 .847 .592 .371 .170 .186 .429 .633 .817 .900 .749 .511 .316 .136 .176 .390 .576 .743 .807 .664 .456 .288 .121 846 6.594 5046 2.844 8.54355 .057192 2.681843 .328482 Correlation Surface at 946 5046 .830 .649 .624 .676 .821 .695 .491 .463 .506 .851 .669 .622 .700 .885 .695 .479 .485 .537 .850 .672 .617 .739 .944 .705 .481 .514 .561 .824 .661 .613 .779 .986 .722 .497 .538 .566 .771 .640 .617 .812 1.000 .736 .524 .555 .551 .702 .617 .642 .834 .981 .734 .556 .570 .527 .632 .600 .688 .837 .930 .708 .584 .586 .507 .569 .589 .740 .820 .861 .663 .602 .611 .496 .518 .579 .779 .792 .792 .612 .610 .645 .492 r_peak,r_snr = .3890388 2.07208 Correlation Surface of oversamples image at 946 5046 .626 .694 .770 .863 .918 .872 .735 .560 .396 .633 .690 .774 .888 .951 .889 .731 .544 .384 .636 .685 .778 .910 .977 .898 .722 .527 .374 .638 .682 .782 .927 .994 .899 .708 .510 .368 .637 .680 .787 .938 1.000 .891 .690 .494 .364 .635 .678 .791 .942 .994 .871 .665 .477 .363 .630 .678 .794 .938 .975 .841 .636 .461 .365 .627 .681 .797 .929 .947 .806 .607 .448 .370 .626 .688 .800 .915 .914 .768 .580 .440 .379 946 1.906 5046 -3.750 2.07208 .009160 1.135042 .029923 Correlation Surface at 1046 5046 .052 .002 .001 .108 .231 .194 .113 .206 .157 .034 .014 .002 .181 .605 .481 .083 .130 .072 .020 .010 .013 .237 .926 .709 .058 .089 .020 .009 .001 .046 .243 1.000 .744 .039 .066 .001 .002 .006 .094 .201 .821 .609 .024 .045 .004 .000 .031 .138 .142 .547 .423 .013 .023 .018 .004 .067 .178 .097 .323 .279 .008 .008 .031 .020 .100 .211 .072 .198 .198 .011 .001 .034 r_peak,r_snr = .1001168 5.35271 Correlation Surface of oversamples image at 1046 5046 .062 .434 1.441 2.859 3.872 2.967 .834 .043 .009 .032 .286 1.104 2.449 3.646 2.987 .931 .076 .009 .017 .185 .821 2.045 3.330 2.881 .980 .111 .008 .067 .252 .865 2.102 3.521 3.209 1.317 .284 .052 1046 -3.281 5046 -8.156 5.35271 .030657 .601006 .006349 Correlation Surface at 1146 5046 .109 .126 .077 .054 .000 .118 .214 .075 .002 .077 .153 .065 .008 .077 .256 .146 .028 .007 .063 .174 .047 .009 .358 .427 .090 .011 .006 .070 .186 .029 .082 .749 .546 .057 .012 .005 .100 .185 .016 .178 1.000 .541 .044 .034 .094 .152 .169 .009 .212 .929 .405 .045 .089 .302 r_peak,r_snr = .1265753 9.63947 Correlation Surface of oversamples image at 1146 5046 .025 .002 .022 .178 .490 .733 .598 .287 .110 .010 .001 .064 .303 .682 .866 .596 .243 .088 .002 .011 .119 .434 .850 .945 .559 .196 .070 .000 .028 .175 .546 .965 .960 .498 .152 .057 .002 .042 .215 .610 1.000 .905 .413 .109 .046 .004 .048 .227 .614 .948 .785 .313 .072 .037 .005 .048 .222 .579 .845 .641 .226 .048 .035 .004 .041 .198 .508 .707 .493 .155 .034 .039 .000 .023 .147 .394 .529 .336 .090 .021 .040 1146 8.219 5046 13.250 9.63947 .014354 .235859 .022869 Correlation Surface at 1246 5046 .514 .546 .667 .767 .801 .660 .424 .322 .266 .498 .527 .655 .799 .869 .673 .407 .308 .269 .472 .497 .630 .828 .929 .678 .392 .301 .272 .442 .465 .599 .854 .975 .678 .381 .301 .278 .415 .436 .573 .875 1.000 .672 .375 .311 .287 .395 .418 .555 .885 .999 .663 .380 .330 .295 .388 .413 .545 .875 .974 .653 .396 .353 .299 .394 .422 .538 .843 .934 .644 .421 .375 .296 .411 .442 .532 .798 .891 .638 .450 .391 .286 r_peak,r_snr = .4938909 2.82409 Correlation Surface of oversamples image at 1246 5046 .557 .634 .731 .852 .947 .945 .848 .708 .571 .547 .626 .736 .873 .970 .955 .845 .698 .560 .536 .620 .742 .890 .987 .961 .840 .689 .549 .527 .614 .748 .904 .997 .962 .833 .680 .539 .517 .608 .750 .911 1.000 .957 .825 .671 .532 .507 .601 .750 .912 .996 .947 .816 .664 .528 .502 .598 .750 .910 .988 .938 .810 .662 .530 .498 .596 .749 .905 .977 .926 .804 .662 .535 .492 .590 .741 .891 .958 .910 .795 .661 .541 1246 -.375 5046 -10.750 2.82409 .004811 .792844 .022233 Correlation Surface at 1346 5046 .305 .406 .296 .380 .729 .527 .015 .013 .033 .321 .363 .277 .404 .797 .549 .005 .019 .035 .353 .341 .263 .414 .877 .566 .001 .023 .034 .409 .350 .261 .427 .961 .567 .001 .021 .026 .486 .380 .274 .442 1.000 .548 .006 .014 .017 .567 .413 .301 .442 .946 .516 .024 .006 .011 .626 .430 .336 .413 .795 .486 .068 .001 .009 .653 .431 .369 .344 .584 .464 .135 .000 .010 .650 .425 .383 .246 .372 .447 .194 .001 .014 r_peak,r_snr = .1647081 5.39177 Correlation Surface of oversamples image at 1346 5046 .283 .366 .565 .813 .975 .820 .307 .002 .111 .280 .343 .531 .796 .988 .836 .301 .001 .128 .270 .313 .492 .775 .991 .841 .293 .000 .141 .259 .286 .461 .760 .997 .845 .290 .000 .146 .251 .266 .440 .751 1.000 .843 .290 .000 .142 .243 .251 .423 .736 .982 .821 .286 .001 .130 .241 .244 .412 .719 .950 .791 .286 .002 .110 .257 .255 .420 .719 .934 .781 .305 .009 .078 .279 .272 .431 .714 .914 .776 .333 .023 .047 1346 5.094 5046 -3.125 5.39177 .013658 1.486705 .030844 Correlation Surface at 1446 5046 .015 .480 .610 .653 .630 .344 .127 .001 .025 .050 .535 .569 .671 .705 .521 .206 .000 .050 .128 .612 .556 .760 .846 .694 .264 .002 .057 .244 .672 .555 .876 .978 .763 .275 .008 .033 .357 .675 .543 .947 1.000 .674 .235 .029 .004 .426 .616 .498 .908 .865 .476 .165 .061 .007 .455 .531 .416 .750 .622 .275 .095 .083 .044 r_peak,r_snr = .129941 4.56498 Correlation Surface of oversamples image at 1446 5046 .087 .471 .841 .700 .410 .363 .543 .145 .564 .906 .733 .444 .409 .601 .213 .648 .952 .759 .483 .463 .667 .294 .726 .990 .792 .538 .534 .744 .374 .780 1.000 .814 .588 .598 .801 .428 .781 .958 .797 .605 .621 .804 .456 .745 .882 .751 .591 .607 .756 .486 .714 .818 .714 .578 .584 .690 .514 .682 .756 .672 .552 .542 .602 1446 .031 5046 11.875 4.56498 .266225 1.276008 .404274 Correlation Surface at 1546 5046 .639 .538 .484 .492 .643 .690 .661 .580 .638 .584 .538 .530 .546 .736 .761 .679 .613 .649 .542 .537 .579 .623 .844 .809 .686 .658 .656 .518 .540 .625 .712 .944 .827 .682 .700 .652 .508 .550 .664 .789 1.000 .803 .666 .722 .638 .508 .571 .696 .837 .992 .744 .645 .718 .617 .521 .603 .722 .845 .925 .672 .629 .694 .595 .548 .646 .738 .814 .821 .611 .626 .661 .578 .591 .696 .743 .752 .714 .578 .640 .634 .573 r_peak,r_snr = .3848868 2.03234 Correlation Surface of oversamples image at 1546 5046 .511 .609 .706 .827 .917 .918 .871 .798 .697 .541 .635 .734 .866 .954 .933 .869 .790 .692 .575 .666 .767 .905 .983 .939 .861 .784 .696 .611 .699 .801 .938 1.000 .932 .846 .776 .704 .642 .728 .830 .961 1.000 .910 .819 .761 .706 .669 .755 .856 .976 .989 .879 .788 .743 .707 .697 .783 .883 .989 .975 .848 .761 .732 .715 .724 .809 .907 .997 .957 .818 .740 .726 .727 .742 .826 .921 .995 .932 .788 .719 .719 .734 1546 .406 5046 -5.781 2.03234 .020200 .427094 .065361 Correlation Surface at 1646 5046 .248 .082 .067 .255 .699 .554 .295 .326 .247 .220 .078 .051 .246 .788 .623 .302 .343 .242 .192 .080 .049 .278 .896 .691 .317 .337 .208 .175 .091 .065 .342 .978 .738 .340 .310 .163 .174 .113 .102 .426 1.000 .755 .367 .272 .124 .186 .144 .160 .509 .947 .735 .387 .226 .097 .206 .174 .225 .554 .822 .674 .381 .176 .080 .220 .190 .265 .529 .654 .581 .341 .123 .067 .214 .178 .261 .444 .490 .480 .279 .076 .054 r_peak,r_snr = .2625147 6.08293 Correlation Surface of oversamples image at 1646 5046 .315 .603 1.478 2.998 4.000 3.563 2.188 1.114 .729 .224 .470 1.310 2.842 3.902 3.474 2.054 .980 .648 .154 .372 1.187 2.724 3.822 3.388 1.929 .862 .577 .108 .312 1.125 2.687 3.820 3.365 1.864 .802 .553 .080 .281 1.112 2.706 3.849 3.355 1.821 .773 .555 1646 .094 5046 2.219 6.08293 .011361 .802733 .058738 Correlation Surface at 1746 5046 .035 .189 .335 .439 .398 .244 .199 .054 .000 .040 .183 .356 .540 .562 .376 .303 .101 .001 .048 .191 .398 .654 .759 .562 .438 .159 .003 .049 .195 .430 .728 .929 .765 .570 .204 .007 .037 .179 .419 .720 1.000 .929 .663 .218 .011 .016 .145 .348 .616 .945 1.000 .698 .198 .010 .002 .107 .241 .453 .802 .958 .675 .160 .007 .001 .079 .143 .292 .634 .828 .607 .123 .003 .004 .067 .083 .186 .499 .652 .509 .094 .002 r_peak,r_snr = .2048957 4.64884 Correlation Surface of oversamples image at 1746 5046 .296 .511 .756 .875 .789 .561 .353 .261 .211 .273 .504 .784 .937 .868 .643 .422 .312 .240 .257 .498 .802 .982 .939 .730 .503 .371 .272 .241 .484 .800 1.000 .989 .808 .583 .430 .299 .217 .454 .767 .977 1.000 .858 .646 .473 .313 .193 .417 .718 .929 .983 .885 .693 .506 .320 .178 .388 .676 .884 .963 .906 .736 .538 .331 .163 .359 .633 .835 .929 .905 .760 .556 .337 .140 .318 .576 .767 .863 .858 .738 .543 .325 1746 -9.750 5046 3.156 4.64884 .139344 .776635 -.249456 Correlation Surface at 1846 5046 .923 .834 .749 .695 .637 .612 .654 .395 .421 .885 .839 .797 .739 .731 .688 .657 .395 .423 .856 .847 .830 .795 .846 .752 .659 .399 .428 .840 .850 .838 .843 .948 .799 .672 .413 .431 .832 .836 .814 .861 1.000 .831 .706 .437 .429 .825 .801 .768 .833 .989 .857 .751 .467 .423 .816 .752 .711 .760 .932 .883 .791 .491 .415 .808 .701 .652 .667 .864 .912 .807 .503 .407 .800 .661 .593 .578 .814 .934 .787 .500 .403 r_peak,r_snr = .3715887 1.65423 Correlation Surface of oversamples image at 1846 5046 16.000 15.259 13.856 12.116 10.202 15.605 15.109 13.820 12.270 10.571 15.296 15.062 13.874 12.485 10.996 14.912 14.915 13.800 12.545 11.274 14.511 14.720 13.651 12.501 11.445 1846 -.813 5046 4.219 1.65423 .020528 .381626 -.026530 Correlation Surface at 1946 5046 .202 .431 .536 .576 .543 .341 .488 .692 .455 .232 .409 .509 .645 .698 .470 .608 .790 .515 .267 .412 .512 .703 .859 .605 .693 .840 .569 .295 .442 .544 .737 .978 .707 .722 .829 .599 .308 .487 .592 .735 1.000 .740 .691 .763 .588 r_peak,r_snr = .2449383 3.04011 Correlation Surface of oversamples image at 1946 5046 .480 .383 .395 .597 .874 .897 .661 .558 .450 .458 .663 .931 .928 .675 .644 .528 .529 .727 .974 .945 .685 .731 .610 .602 .781 .996 .945 .691 .811 .690 .670 .822 1.000 .933 .693 .880 .761 .727 .848 .986 .911 .692 .932 .820 .772 .855 .956 .878 .685 .964 .861 .798 .845 .911 .837 .673 .969 .877 .801 .816 .855 .789 .652 1946 4.688 5046 12.219 3.04011 .020001 .450830 -.007787 Correlation Surface at 2046 5046 .211 .297 .334 .350 .630 .436 .247 .382 .285 .257 .316 .324 .383 .751 .437 .221 .407 .312 .285 .321 .313 .446 .866 .443 .221 .414 .325 .295 .318 .321 .545 .954 .455 .243 .395 .321 .293 .328 .363 .662 1.000 .456 .270 .345 .304 .291 .357 .445 .780 .999 .437 .284 .280 .276 .298 .396 .553 .874 .953 .405 .284 .223 .243 .312 .421 .644 .919 .882 .378 .280 .190 .208 .320 .409 .676 .910 .817 .375 .290 .188 .180 r_peak,r_snr = .2230692 4.13026 Correlation Surface of oversamples image at 2046 5046 .422 .372 .409 .604 .858 .884 .615 .337 .257 .417 .368 .424 .649 .918 .926 .628 .339 .263 .416 .371 .447 .696 .965 .947 .629 .338 .269 .417 .380 .473 .736 .991 .941 .615 .336 .277 .425 .397 .506 .773 1.000 .915 .592 .332 .287 .443 .427 .549 .811 .998 .876 .562 .328 .298 .467 .465 .598 .845 .981 .823 .526 .323 .309 .491 .503 .643 .866 .944 .757 .483 .314 .317 .513 .540 .683 .876 .898 .689 .442 .306 .321 2046 .188 5046 -.531 4.13026 .032760 3.655240 .294971 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .167 .246 .352 .510 .552 .379 .292 .239 .183 .174 .296 .404 .595 .693 .454 .291 .263 .254 .170 .335 .451 .662 .851 .536 .273 .267 .328 .162 .361 .482 .682 .967 .590 .234 .241 .386 .152 .373 .494 .648 1.000 .602 .191 .197 .408 .138 .372 .489 .571 .939 .584 .167 .157 .390 .119 .356 .473 .469 .803 .561 .175 .136 .339 .098 .325 .441 .363 .638 .554 .220 .139 .273 .080 .285 .382 .267 .490 .564 .303 .165 .208 r_peak,r_snr = .1914868 4.83792 Correlation Surface of oversamples image at 146 5446 .410 .550 .676 .767 .780 .646 .440 .286 .228 .428 .579 .717 .834 .872 .729 .484 .292 .210 .443 .597 .740 .880 .943 .795 .517 .292 .190 .455 .604 .745 .901 .989 .840 .540 .291 .172 .462 .597 .725 .890 1.000 .859 .550 .288 .157 .460 .571 .676 .841 .968 .842 .541 .279 .142 .452 .531 .606 .762 .902 .800 .521 .269 .132 .445 .491 .533 .674 .822 .752 .506 .271 .133 .433 .445 .457 .578 .730 .696 .493 .281 .145 146 .000 5446 7.875 4.83792 .019301 1.040920 -.045549 Correlation Surface at 246 5446 .061 .031 .012 .183 .696 .536 .151 .147 .242 .070 .030 .007 .197 .792 .580 .167 .126 .195 .101 .038 .004 .224 .901 .656 .230 .113 .126 .154 .050 .003 .249 .987 .754 .348 .109 .062 .210 .058 .002 .258 1.000 .843 .506 .114 .024 .240 .057 .001 .234 .897 .881 .655 .125 .011 .230 .050 .001 .180 .688 .839 .758 .148 .012 .187 .042 .001 .117 .444 .728 .812 .193 .032 .133 .037 .001 .067 .246 .585 .824 .261 .087 r_peak,r_snr = .2134706 4.39698 Correlation Surface of oversamples image at 246 5446 2.824 2.732 2.778 3.256 3.562 2.726 1.279 .521 2.327 2.393 2.631 3.284 3.692 2.854 1.363 .582 1.753 1.939 2.328 3.115 3.618 2.834 1.386 .627 1.416 1.690 2.206 3.128 3.728 2.999 1.570 .805 246 -7.000 5446 5.813 4.39698 .008985 .510551 -.020666 Correlation Surface at 346 5446 .033 .113 .163 .295 .457 .130 .057 .118 .058 .026 .094 .166 .373 .615 .193 .060 .063 .023 .016 .078 .188 .486 .809 .305 .083 .033 .008 .005 .064 .220 .603 .963 .443 .120 .019 .003 .000 .051 .250 .675 1.000 .548 .150 .014 .005 .003 .042 .269 .672 .904 .571 .159 .015 .013 .013 .036 .275 .605 .733 .522 .150 .022 .029 .023 .032 .269 .506 .561 .450 .141 .035 .054 .029 .031 .257 .412 .438 .402 .149 .056 .086 r_peak,r_snr = .2553411 7.83312 Correlation Surface of oversamples image at 346 5446 .227 .311 .515 .770 .815 .582 .289 .120 .053 .242 .347 .573 .843 .895 .660 .348 .149 .059 .257 .382 .623 .898 .956 .728 .406 .180 .065 .274 .416 .662 .930 .992 .781 .459 .210 .072 .296 .451 .691 .939 1.000 .815 .504 .240 .082 .320 .482 .705 .921 .976 .821 .534 .264 .092 .340 .502 .696 .873 .921 .799 .542 .277 .099 .357 .509 .669 .805 .847 .756 .532 .280 .104 .373 .512 .635 .734 .769 .704 .512 .279 .108 346 -.125 5446 -1.750 7.83312 .008868 .249638 -.007476 Correlation Surface at 446 5446 .391 .314 .348 .521 .763 .572 .335 .420 .378 .376 .313 .391 .591 .856 .645 .372 .452 .419 .372 .315 .435 .662 .934 .720 .439 .497 .455 .380 .319 .479 .725 .983 .788 .530 .555 .480 .389 .323 .518 .767 1.000 .843 .631 .615 .494 .390 .321 .546 .783 .988 .881 .719 .669 .505 .370 .313 .558 .777 .954 .891 .775 .710 .517 .326 .297 .555 .756 .902 .865 .792 .734 .529 .268 .275 .544 .734 .839 .801 .773 .738 .539 r_peak,r_snr = .3738487 2.69684 Correlation Surface of oversamples image at 446 5446 .271 .384 .566 .776 .903 .845 .637 .435 .342 .306 .429 .614 .822 .946 .888 .681 .476 .380 .344 .476 .659 .858 .977 .924 .727 .526 .428 .382 .522 .696 .882 .994 .949 .768 .580 .484 .421 .566 .727 .895 1.000 .965 .807 .636 .545 .461 .607 .750 .899 .997 .976 .845 .698 .613 .494 .639 .764 .893 .986 .981 .881 .760 .684 .520 .661 .767 .879 .968 .977 .908 .815 .747 .539 .675 .764 .859 .943 .965 .925 .859 .798 446 .156 5446 -8.750 2.69684 .012951 1.731855 -.039557 Correlation Surface at 546 5446 .179 .202 .342 .594 .857 .812 .528 .292 .155 .183 .206 .337 .635 .897 .835 .549 .285 .146 .190 .204 .333 .683 .942 .863 .568 .281 .149 .197 .196 .330 .724 .983 .885 .575 .280 .162 .195 .183 .324 .739 1.000 .881 .561 .282 .182 .187 .168 .314 .720 .984 .847 .528 .285 .202 .178 .156 .300 .674 .942 .791 .486 .290 .217 .174 .148 .284 .612 .886 .730 .445 .292 .223 .172 .143 .268 .548 .829 .676 .412 .288 .217 r_peak,r_snr = .5145914 2.99578 Correlation Surface of oversamples image at 546 5446 .252 .429 .671 .879 .968 .926 .789 .606 .430 .244 .423 .672 .890 .982 .938 .798 .609 .426 .237 .416 .670 .896 .991 .945 .802 .608 .421 .232 .410 .667 .900 .997 .947 .799 .603 .415 .229 .406 .664 .901 1.000 .946 .793 .595 .410 .227 .402 .658 .898 .999 .940 .782 .585 .406 .224 .394 .646 .887 .990 .927 .765 .571 .399 .221 .386 .630 .869 .972 .907 .742 .553 .393 .221 .380 .615 .851 .955 .888 .723 .540 .391 546 .031 5446 4.750 2.99578 .005198 .425576 .010193 Correlation Surface at 646 5446 .054 .068 .176 .518 .722 .568 .479 .322 .116 .054 .069 .182 .560 .813 .620 .480 .308 .102 .050 .071 .190 .597 .904 .681 .477 .284 .090 .043 .076 .199 .618 .973 .732 .463 .256 .086 .037 .085 .208 .619 1.000 .749 .438 .228 .093 .035 .097 .218 .602 .972 .722 .399 .205 .107 .034 .108 .226 .567 .896 .659 .352 .187 .125 .036 .116 .233 .522 .798 .582 .306 .174 .139 .040 .120 .236 .477 .710 .513 .269 .164 .144 r_peak,r_snr = .4638445 5.17666 Correlation Surface of oversamples image at 646 5446 .279 .412 .620 .841 .946 .879 .714 .556 .442 .288 .423 .636 .863 .972 .903 .735 .569 .442 .296 .433 .648 .878 .989 .921 .751 .578 .439 .303 .440 .654 .886 .998 .932 .762 .582 .432 .311 .446 .657 .887 1.000 .937 .767 .582 .424 .318 .449 .655 .881 .995 .934 .764 .576 .413 .322 .449 .647 .868 .981 .921 .752 .563 .398 .323 .444 .633 .849 .961 .902 .733 .544 .381 .325 .439 .620 .828 .939 .880 .711 .524 .365 646 .063 5446 -2.781 5.17666 .002977 .240276 -.000833 Correlation Surface at 746 5446 .214 .425 .739 .921 .791 .707 .502 .230 .078 .158 .345 .683 .919 .850 .768 .562 .285 .107 .111 .282 .646 .932 .925 .835 .617 .350 .144 .081 .241 .623 .941 .985 .884 .649 .404 .182 .067 .219 .600 .920 1.000 .897 .650 .427 .205 .063 .212 .566 .854 .963 .883 .627 .417 .206 .066 .212 .515 .754 .895 .860 .599 .384 .188 .072 .217 .454 .646 .829 .844 .580 .343 .161 .078 .220 .389 .557 .788 .841 .576 .305 .134 r_peak,r_snr = .38103 4.49678 Correlation Surface of oversamples image at 746 5446 .434 .634 .831 .919 .882 .799 .716 .647 .588 .421 .631 .839 .941 .923 .848 .757 .675 .607 .411 .629 .842 .958 .959 .892 .793 .698 .620 .404 .627 .841 .966 .986 .928 .823 .716 .630 .400 .624 .834 .965 1.000 .954 .848 .734 .640 .397 .616 .817 .948 .998 .966 .864 .748 .647 .390 .600 .786 .912 .976 .960 .869 .756 .650 .378 .574 .741 .860 .937 .941 .866 .760 .651 .366 .543 .688 .800 .890 .917 .862 .766 .656 746 -.469 5446 -1.219 4.49678 .057521 .575440 -.087042 Correlation Surface at 846 5446 .185 .040 .098 .645 .876 .317 .023 .036 .028 .154 .023 .118 .763 .982 .433 .000 .008 .006 .141 .015 .142 .843 1.000 .531 .027 .002 .001 .139 .012 .185 .896 .940 .567 .086 .032 .014 .140 .012 .254 .924 .835 .527 .123 .064 .032 .142 .012 .325 .899 .710 .424 .105 .066 .039 .143 .013 .366 .795 .570 .294 .056 .043 .031 r_peak,r_snr = .1307028 6.93679 Correlation Surface of oversamples image at 846 5446 .310 .001 .871 2.987 3.947 3.435 2.749 2.133 1.389 .396 .000 .905 3.004 3.855 3.278 2.549 1.932 1.256 .494 .000 .904 2.913 3.663 3.063 2.301 1.671 1.046 .475 .004 1.037 3.042 3.749 3.131 2.301 1.606 .967 846 -6.063 5446 -9.188 6.93679 .053411 3.518177 -.059389 Correlation Surface at 946 5446 .042 .137 .322 .471 .607 .454 .381 .447 .324 .043 .176 .401 .584 .762 .495 .343 .387 .274 .052 .210 .461 .697 .905 .532 .306 .323 .229 .067 .232 .492 .785 .994 .558 .282 .270 .199 .085 .246 .496 .822 1.000 .564 .273 .239 .192 .099 .256 .487 .800 .924 .540 .279 .233 .210 .101 .269 .476 .734 .795 .487 .298 .254 .253 .090 .286 .472 .654 .652 .419 .324 .298 .312 .073 .307 .473 .584 .526 .356 .347 .352 .370 r_peak,r_snr = .282752 4.4502 Correlation Surface of oversamples image at 946 5446 .500 .562 .650 .789 .882 .822 .630 .459 .397 .509 .584 .693 .848 .938 .854 .635 .446 .371 .512 .599 .728 .895 .978 .874 .636 .434 .349 .508 .606 .752 .924 .999 .880 .632 .423 .330 .498 .605 .759 .933 1.000 .874 .626 .415 .316 .484 .594 .752 .921 .982 .857 .615 .408 .307 .468 .577 .729 .890 .944 .824 .597 .399 .300 .452 .555 .696 .844 .891 .779 .571 .388 .296 .442 .535 .661 .794 .835 .731 .546 .383 .300 946 -.031 5446 .219 4.45020 .010446 .483512 .008019 Correlation Surface at 1046 5446 .341 .337 .541 .693 .601 .570 .352 .212 .269 .332 .390 .620 .758 .706 .708 .414 .248 .317 .316 .444 .680 .818 .827 .822 .461 .278 .343 .307 .496 .712 .859 .939 .861 .463 .289 .340 .309 .533 .715 .870 1.000 .807 .423 .281 .320 .323 .547 .695 .846 .989 .688 .366 .267 .298 .345 .533 .659 .798 .916 .553 .314 .260 .284 .368 .500 .617 .741 .807 .435 .277 .266 .280 .382 .462 .583 .689 .690 .344 .253 .281 .277 r_peak,r_snr = .2569986 3.59205 Correlation Surface of oversamples image at 1046 5446 .632 .627 .673 .778 .894 .911 .755 .535 .373 .626 .622 .682 .808 .936 .940 .761 .534 .373 .617 .618 .693 .839 .972 .956 .758 .529 .372 .604 .611 .702 .865 .996 .958 .744 .520 .369 .583 .598 .703 .875 1.000 .940 .718 .505 .364 .558 .583 .697 .873 .986 .906 .685 .488 .358 .537 .573 .695 .869 .967 .870 .654 .475 .355 .518 .566 .693 .859 .940 .831 .626 .466 .357 .494 .554 .680 .833 .895 .779 .590 .451 .354 1046 .125 5446 3.219 3.59205 .068438 .974851 .156536 Correlation Surface at 1146 5446 .368 .177 .040 .002 .003 .047 .012 .025 .080 .402 .210 .037 .010 .159 .323 .060 .004 .018 .414 .226 .042 .048 .528 .702 .136 .004 .000 .398 .242 .061 .080 .889 .931 .213 .038 .013 .354 .258 .092 .075 1.000 .894 .259 .073 .021 .278 .250 .119 .036 .817 .682 .257 .071 .009 .181 .204 .126 .002 .488 .446 .226 .036 .000 r_peak,r_snr = .1453822 7.96799 Correlation Surface of oversamples image at 1146 5446 .015 .009 .105 .285 .443 .423 .271 .140 .037 .021 .011 .152 .432 .661 .609 .373 .183 .050 .031 .011 .194 .569 .850 .754 .444 .214 .064 .045 .009 .225 .670 .972 .828 .476 .232 .077 .062 .006 .238 .714 1.000 .819 .463 .233 .089 .080 .003 .230 .690 .932 .737 .417 .224 .098 .098 .001 .201 .602 .787 .605 .351 .207 .106 .114 .000 .155 .469 .597 .454 .279 .187 .110 .119 .001 .108 .330 .412 .319 .218 .170 .115 1146 8.063 5446 11.375 7.96799 .010666 .199281 .003505 Correlation Surface at 1246 5446 .001 .019 .076 .203 .532 .465 .177 .017 .018 .000 .013 .061 .248 .691 .569 .146 .004 .015 .001 .004 .051 .312 .853 .654 .120 .000 .014 .005 .000 .047 .381 .971 .681 .097 .000 .015 .016 .005 .049 .439 1.000 .635 .079 .000 .017 .037 .018 .058 .475 .927 .528 .069 .002 .021 .066 .029 .075 .484 .778 .396 .068 .008 .023 .099 .032 .091 .449 .595 .278 .076 .015 .023 .126 .029 .089 .367 .417 .194 .092 .024 .021 r_peak,r_snr = .2570922 11.72058 Correlation Surface of oversamples image at 1246 5446 .029 .109 .329 .686 .896 .735 .381 .081 .001 .028 .126 .407 .811 .963 .750 .388 .080 .002 .033 .165 .473 .835 .971 .773 .397 .075 .003 .047 .207 .498 .840 .988 .778 .381 .065 .004 .061 .225 .525 .882 1.000 .744 .345 .056 .004 .070 .247 .564 .894 .950 .678 .307 .050 .003 .084 .284 .576 .828 .838 .590 .264 .041 .003 .105 .309 .552 .734 .716 .494 .215 .032 .003 .125 .317 .520 .654 .608 .402 .171 .027 .001 1246 .406 5446 1.438 11.72058 .009532 .470784 .040339 Correlation Surface at 1346 5446 .055 .150 .168 .314 .852 .666 .227 .047 .003 .073 .154 .155 .329 .874 .603 .170 .031 .000 .102 .167 .161 .370 .904 .558 .144 .031 .000 .133 .185 .190 .432 .956 .532 .133 .040 .000 .145 .203 .242 .495 1.000 .505 .128 .054 .000 .126 .205 .298 .512 .983 .464 .122 .062 .000 .087 .188 .330 .460 .887 .408 .115 .056 .000 .044 .157 .314 .357 .738 .350 .110 .037 .000 .014 .126 .252 .247 .592 .306 .107 .015 .004 r_peak,r_snr = .2008774 7.99387 Correlation Surface of oversamples image at 1346 5446 .047 .062 .204 .551 .897 .903 .607 .336 .194 .047 .065 .217 .585 .944 .941 .637 .355 .207 .052 .073 .234 .616 .976 .960 .654 .366 .213 .057 .081 .250 .643 .995 .964 .657 .364 .211 .065 .090 .266 .663 1.000 .951 .641 .346 .197 .078 .105 .283 .674 .987 .920 .608 .314 .175 .095 .121 .296 .671 .953 .869 .557 .270 .147 .113 .133 .296 .644 .892 .796 .490 .219 .114 .130 .140 .284 .597 .810 .708 .414 .169 .083 1346 .219 5446 -3.531 7.99387 .014093 2.273161 .108335 Correlation Surface at 1446 5446 .679 .703 .477 .530 .972 .691 .291 .361 .362 .707 .735 .536 .585 1.000 .649 .290 .329 .327 .735 .783 .609 .624 .941 .582 .289 .285 .306 .756 .821 .668 .645 .825 .512 .290 .245 .305 .755 .818 .687 .653 .705 .458 .297 .219 .322 .724 .755 .656 .655 .609 .427 .308 .211 .346 r_peak,r_snr = .286896 2.34923 Correlation Surface of oversamples image at 1446 5446 .364 .358 .487 .715 .876 .790 .521 .295 .193 .357 .366 .516 .763 .927 .815 .516 .280 .183 .362 .381 .544 .805 .971 .840 .515 .272 .179 .374 .398 .567 .834 1.000 .853 .512 .265 .177 .385 .409 .576 .840 1.000 .842 .495 .254 .174 .397 .416 .573 .825 .974 .808 .468 .242 .170 .414 .423 .562 .795 .930 .763 .442 .236 .171 .436 .430 .546 .753 .870 .708 .417 .235 .177 .457 .432 .521 .698 .793 .642 .390 .235 .184 1446 3.031 5446 -15.781 2.34923 .010068 .463609 .038369 Correlation Surface at 1546 5446 .601 .694 .789 .765 .703 .581 .362 .312 .308 .586 .621 .685 .764 .795 .655 .375 .286 .253 .594 .575 .606 .763 .893 .743 .398 .261 .205 .618 .552 .561 .761 .971 .824 .430 .246 .171 .649 .551 .547 .752 1.000 .865 .459 .242 .154 .682 .574 .561 .737 .964 .843 .477 .252 .154 .704 .611 .588 .703 .864 .761 .478 .275 .166 .708 .657 .618 .659 .735 .647 .465 .311 .192 .696 .706 .647 .616 .616 .540 .446 .352 .226 r_peak,r_snr = .4091479 2.97459 Correlation Surface of oversamples image at 1546 5446 .549 .680 .809 .887 .898 .829 .689 .527 .399 .509 .648 .797 .900 .938 .883 .729 .543 .399 .478 .621 .781 .905 .969 .928 .764 .558 .401 .456 .599 .765 .903 .990 .965 .793 .573 .408 .443 .582 .747 .893 1.000 .989 .815 .587 .419 .435 .567 .727 .875 .996 .998 .827 .598 .433 .433 .554 .702 .847 .974 .986 .824 .606 .449 .434 .542 .674 .810 .936 .955 .807 .609 .466 .442 .534 .647 .769 .888 .910 .780 .608 .485 1546 4.250 5446 3.813 2.97459 .009952 .262161 -.008800 Correlation Surface at 1646 5446 .257 .273 .425 .818 .891 .990 .644 .566 .631 .258 .278 .393 .799 .953 .993 .644 .582 .621 .259 .284 .353 .757 .997 .987 .649 .576 .592 .258 .283 .310 .701 1.000 .956 .636 .536 .546 .252 .275 .276 .642 .950 .889 .592 .471 .498 .241 .264 .262 .590 .858 .788 .521 .408 .466 .229 .259 .276 .555 .752 .668 .435 .374 .460 .219 .271 .323 .543 .660 .546 .356 .375 .469 r_peak,r_snr = .3140555 3.50642 Correlation Surface of oversamples image at 1646 5446 2.124 2.614 3.206 3.747 4.000 3.994 3.753 3.046 2.068 1.921 2.402 3.048 3.660 3.936 3.869 3.550 2.838 1.940 1.723 2.186 2.868 3.529 3.821 3.711 3.354 2.672 1.867 1.552 1.999 2.702 3.390 3.691 3.561 3.201 2.569 1.861 1.402 1.835 2.547 3.248 3.555 3.424 3.084 2.516 1.902 1646 .219 5446 -15.781 3.50642 .023413 .879558 -.024224 Correlation Surface at 1746 5446 .311 .158 .328 .459 .464 .346 .064 .120 .369 .139 .011 .159 .560 .616 .351 .033 .111 .243 .019 .050 .043 .651 .788 .368 .021 .116 .125 .011 .264 .002 .663 .933 .407 .025 .122 .038 .089 .484 .004 .555 1.000 .477 .050 .117 .002 .169 .549 .011 .362 .941 .569 .105 .094 .006 .191 .440 .009 .168 .770 .646 .179 .061 .021 .154 .264 .008 .040 .561 .662 .220 .026 .026 .090 .131 .014 .000 .388 .595 .190 .006 .023 r_peak,r_snr = .1123351 5.31152 Correlation Surface of oversamples image at 1746 5446 .455 .690 .897 .950 .763 .452 .238 .176 .185 .372 .592 .838 .969 .830 .520 .288 .207 .183 .275 .470 .749 .965 .888 .586 .338 .234 .177 .186 .353 .659 .959 .948 .659 .393 .261 .171 .109 .247 .571 .945 1.000 .728 .443 .280 .161 .044 .148 .466 .887 .999 .752 .456 .269 .133 .006 .069 .356 .792 .943 .723 .424 .225 .092 .000 .036 .307 .758 .936 .725 .410 .197 .069 1746 9.781 5446 1.844 5.31152 .104829 2.969257 -.470445 Correlation Surface at 1846 5446 .142 .310 .513 .698 .780 .578 .432 .246 .315 .126 .290 .456 .688 .880 .617 .426 .279 .316 .119 .271 .394 .667 .951 .675 .459 .331 .311 .124 .262 .354 .647 .988 .749 .522 .380 .298 .142 .265 .344 .640 1.000 .812 .588 .413 .278 .173 .270 .358 .652 .989 .825 .619 .420 .260 .209 .270 .384 .675 .946 .763 .590 .400 .249 .234 .262 .414 .700 .866 .633 .507 .363 .247 .241 .250 .438 .716 .751 .467 .401 .323 .251 r_peak,r_snr = .2680564 4.21329 Correlation Surface of oversamples image at 1846 5446 .148 .392 .729 .942 .856 .619 .459 .476 .161 .434 .777 .974 .873 .641 .505 .557 .179 .480 .820 .999 .885 .657 .544 .627 .204 .525 .848 1.000 .878 .656 .566 .676 .234 .563 .855 .977 .849 .638 .569 .698 .260 .586 .842 .937 .805 .602 .552 .696 .285 .596 .813 .884 .748 .554 .522 .675 .309 .595 .773 .821 .685 .503 .487 .646 1846 -2.469 5446 -6.781 4.21329 .023628 7.447216 -.258442 Correlation Surface at 1946 5446 .490 .659 .731 .851 .908 .848 .755 .613 .485 .501 .628 .683 .879 .948 .875 .763 .629 .470 .514 .584 .618 .887 .978 .894 .755 .633 .458 .518 .536 .556 .883 .997 .901 .735 .616 .447 .504 .488 .512 .874 1.000 .892 .702 .579 .433 .474 .446 .494 .865 .980 .864 .662 .530 .416 .433 .410 .501 .852 .934 .819 .620 .479 .394 .395 .386 .528 .829 .861 .764 .582 .432 .370 .370 .378 .562 .790 .776 .712 .556 .399 .354 r_peak,r_snr = .4623121 1.95197 Correlation Surface of oversamples image at 1946 5446 .757 .729 .772 .877 .972 .986 .919 .844 .764 .742 .714 .767 .883 .979 .990 .929 .862 .783 .728 .702 .766 .892 .984 .989 .933 .872 .794 .718 .699 .776 .908 .992 .989 .935 .880 .801 .712 .703 .794 .929 1.000 .986 .933 .881 .802 .701 .704 .807 .941 .995 .968 .915 .865 .786 .686 .701 .815 .944 .978 .938 .884 .837 .760 .687 .715 .839 .961 .973 .921 .867 .823 .748 1946 -.813 5446 5.781 1.95197 .016693 1.353662 .030930 Correlation Surface at 2046 5446 .343 .450 .761 .659 .632 .765 .436 .266 .377 .323 .422 .775 .710 .716 .843 .465 .263 .397 .333 .404 .767 .772 .828 .898 .491 .278 .418 .368 .391 .732 .832 .937 .904 .495 .299 .430 .418 .378 .676 .869 1.000 .854 .473 .317 .429 .464 .363 .613 .866 .988 .763 .436 .329 .417 .491 .351 .557 .826 .910 .662 .404 .338 .405 .488 .347 .522 .772 .798 .579 .394 .350 .398 .458 .353 .514 .728 .694 .527 .408 .370 .395 r_peak,r_snr = .3761669 2.594 Correlation Surface of oversamples image at 2046 5446 .626 .677 .679 .727 .832 .911 .854 .634 .369 .619 .689 .722 .793 .896 .941 .843 .608 .351 .610 .697 .760 .852 .950 .957 .818 .571 .328 .599 .700 .789 .898 .986 .956 .780 .525 .301 .581 .694 .805 .925 1.000 .935 .729 .473 .269 .559 .680 .807 .932 .991 .898 .672 .421 .239 .538 .664 .801 .925 .967 .854 .619 .378 .217 .515 .645 .786 .904 .931 .806 .572 .344 .202 .484 .616 .756 .864 .877 .748 .525 .315 .191 2046 .063 5446 -9.531 2.59400 .034616 .323262 .065244 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .005 .051 .026 .185 .330 .678 .260 .023 .040 .001 .031 .020 .296 .560 .855 .342 .071 .083 .000 .010 .015 .419 .793 .931 .382 .123 .130 .000 .000 .010 .509 .956 .872 .352 .143 .166 .000 .001 .006 .531 1.000 .714 .272 .132 .177 .000 .002 .007 .494 .938 .529 .193 .117 .164 .003 .000 .013 .427 .812 .371 .152 .125 .133 .014 .006 .026 .361 .660 .260 .161 .166 .092 .036 .029 .045 .304 .504 .191 .218 .233 .055 r_peak,r_snr = .1665217 9.17889 Correlation Surface of oversamples image at 146 5846 .047 .195 .494 .742 .801 .891 .982 .761 .323 .035 .197 .547 .833 .881 .921 .957 .730 .318 .024 .192 .583 .902 .937 .922 .904 .677 .302 .017 .188 .611 .958 .980 .912 .842 .618 .282 .012 .179 .622 .990 1.000 .885 .772 .556 .261 .008 .162 .603 .981 .984 .834 .692 .491 .240 .005 .140 .564 .945 .945 .773 .615 .433 .225 .004 .124 .528 .912 .915 .729 .563 .401 .228 .004 .110 .489 .874 .886 .694 .527 .389 .249 146 -1.250 5846 8.219 9.17889 .044721 1.374961 .175376 Correlation Surface at 246 5846 .158 .237 .082 .111 .449 .425 .347 .588 .333 .189 .280 .131 .150 .551 .515 .340 .437 .197 .190 .292 .174 .229 .720 .608 .319 .298 .096 .165 .274 .191 .330 .906 .661 .300 .208 .042 .125 .230 .174 .408 1.000 .638 .301 .178 .024 .081 .171 .134 .421 .923 .547 .333 .198 .024 .047 .107 .092 .361 .695 .425 .399 .261 .039 .021 .054 .056 .256 .406 .303 .484 .352 .070 r_peak,r_snr = .1575118 6.83267 Correlation Surface of oversamples image at 246 5846 .527 .433 .453 .598 .736 .657 .429 .228 .131 .532 .459 .507 .684 .831 .714 .440 .215 .109 .518 .472 .554 .766 .915 .755 .440 .200 .092 .492 .476 .594 .835 .975 .772 .429 .187 .084 .454 .468 .618 .879 1.000 .762 .407 .176 .083 .403 .444 .619 .886 .983 .724 .377 .167 .087 .345 .407 .598 .856 .927 .665 .345 .163 .100 .292 .369 .563 .800 .844 .598 .318 .169 .124 .242 .328 .514 .716 .736 .520 .291 .178 .155 246 -2.094 5846 11.094 6.83267 .018578 .520129 .039089 Correlation Surface at 346 5846 .310 .512 .613 .723 .875 .856 .471 .515 .508 .309 .533 .658 .770 .911 .830 .450 .482 .478 .311 .560 .717 .838 .956 .788 .440 .453 .457 .315 .577 .758 .891 .992 .747 .446 .435 .451 .319 .573 .752 .898 1.000 .719 .464 .430 .457 .322 .537 .694 .846 .967 .703 .485 .431 .457 .323 .477 .605 .752 .896 .697 .500 .428 .434 .322 .409 .519 .646 .804 .697 .507 .414 .383 .314 .347 .460 .560 .715 .699 .504 .392 .325 r_peak,r_snr = .3849329 3.17501 Correlation Surface of oversamples image at 346 5846 .367 .500 .652 .849 .821 .423 .077 .013 .043 .396 .529 .695 .918 .886 .453 .080 .011 .040 .415 .540 .715 .967 .944 .479 .083 .011 .038 .421 .532 .709 .988 .985 .500 .086 .011 .038 .411 .501 .673 .973 1.000 .510 .089 .012 .041 .382 .449 .612 .924 .984 .505 .089 .014 .044 .334 .380 .529 .842 .934 .481 .084 .014 .046 .276 .301 .433 .733 .854 .442 .075 .014 .047 .222 .230 .341 .621 .768 .401 .067 .016 .049 346 -2.219 5846 -2.750 3.17501 .011267 .764366 .002327 Correlation Surface at 446 5846 .034 .187 .257 .295 .670 .888 .406 .162 .052 .039 .180 .205 .318 .776 .879 .395 .155 .057 .051 .173 .170 .359 .886 .853 .370 .148 .066 .071 .166 .154 .404 .971 .808 .332 .140 .077 .097 .161 .154 .433 1.000 .745 .284 .126 .083 r_peak,r_snr = .2163205 4.30608 Correlation Surface of oversamples image at 446 5846 .279 .332 .486 .730 .927 .857 .544 .226 .064 .248 .330 .520 .783 .954 .843 .526 .224 .068 .222 .333 .559 .838 .975 .819 .500 .220 .074 .203 .343 .607 .897 .993 .792 .474 .217 .081 .189 .355 .654 .951 1.000 .757 .443 .211 .088 .175 .362 .690 .985 .987 .709 .405 .198 .090 .161 .365 .713 .999 .957 .653 .362 .180 .087 .150 .364 .724 .994 .914 .595 .321 .162 .083 .140 .356 .716 .966 .856 .535 .281 .144 .076 446 .281 5846 12.281 4.30608 .016279 1.436592 .090015 Correlation Surface at 546 5846 .121 .302 .678 .986 .880 .614 .387 .197 .086 .127 .301 .671 .985 .910 .636 .394 .207 .088 .129 .295 .654 .982 .946 .674 .415 .216 .086 .126 .284 .627 .972 .981 .719 .447 .221 .081 .121 .270 .589 .949 1.000 .760 .483 .225 .076 .115 .254 .541 .905 .992 .784 .516 .231 .076 .111 .238 .487 .842 .953 .784 .541 .242 .081 .108 .225 .434 .767 .891 .764 .555 .257 .092 .107 .213 .386 .689 .820 .731 .559 .271 .104 r_peak,r_snr = .4862198 3.96231 Correlation Surface of oversamples image at 546 5846 .306 .484 .715 .921 1.000 .927 .780 .644 .547 .305 .483 .713 .918 .998 .934 .794 .657 .554 .304 .482 .712 .916 1.000 .945 .812 .676 .567 .300 .476 .704 .908 .998 .955 .831 .697 .584 .293 .465 .690 .894 .993 .962 .849 .718 .602 .284 .451 .671 .876 .984 .967 .865 .738 .620 .274 .434 .649 .855 .973 .971 .880 .758 .639 546 -.938 5846 -5.750 3.96231 .025959 1.080183 -.135330 Correlation Surface at 646 5846 .229 .285 .381 .568 .907 .764 .442 .322 .282 .240 .271 .386 .600 .941 .788 .436 .336 .323 .243 .254 .391 .632 .973 .787 .420 .365 .367 .233 .239 .392 .656 .994 .759 .403 .407 .402 .213 .230 .390 .667 1.000 .713 .391 .447 .412 .190 .228 .388 .667 .989 .660 .381 .471 .390 .169 .236 .390 .667 .971 .613 .373 .468 .350 .155 .248 .395 .677 .958 .578 .364 .439 .307 .150 .261 .401 .701 .956 .562 .357 .397 .272 r_peak,r_snr = .4256606 4.14796 Correlation Surface of oversamples image at 646 5846 .539 .566 .644 .799 .954 .973 .808 .580 .410 .535 .570 .654 .813 .966 .977 .809 .583 .417 .533 .577 .668 .832 .981 .982 .808 .587 .430 .531 .583 .683 .851 .995 .982 .803 .588 .444 .529 .587 .693 .864 1.000 .972 .789 .584 .459 .528 .590 .701 .872 .999 .957 .770 .577 .473 .530 .594 .708 .880 .997 .940 .751 .571 .488 .533 .597 .715 .886 .994 .924 .731 .563 .501 .536 .598 .718 .887 .985 .904 .709 .552 .508 646 .219 5846 -8.781 4.14796 .013394 3.907950 .192865 Correlation Surface at 746 5846 .081 .243 .487 .644 .684 .717 .445 .203 .054 .088 .234 .498 .691 .773 .742 .468 .221 .042 .097 .229 .484 .736 .872 .783 .522 .232 .026 .104 .214 .442 .777 .958 .821 .593 .233 .012 .102 .187 .388 .806 1.000 .833 .652 .228 .003 .089 .151 .333 .798 .972 .803 .667 .221 .001 .065 .113 .285 .732 .874 .733 .637 .215 .001 .039 .084 .247 .616 .731 .640 .574 .212 .002 .020 .069 .221 .477 .582 .546 .504 .218 .007 r_peak,r_snr = .2637979 5.92646 Correlation Surface of oversamples image at 746 5846 .403 .562 .734 .868 .907 .835 .677 .516 .405 .387 .559 .754 .905 .944 .858 .689 .533 .435 .366 .551 .771 .937 .975 .875 .699 .555 .473 .341 .538 .782 .963 .996 .883 .706 .580 .515 .313 .520 .783 .972 1.000 .880 .710 .603 .551 .284 .497 .770 .963 .990 .869 .709 .620 .578 .260 .474 .749 .947 .977 .857 .705 .632 .602 .240 .448 .720 .920 .953 .837 .698 .641 .617 .218 .416 .676 .871 .904 .800 .681 .636 .613 746 -.156 5846 -1.594 5.92646 .034733 .811323 .027701 Correlation Surface at 846 5846 .208 .184 .227 .409 .643 .540 .213 .199 .071 .186 .295 .403 .562 .738 .625 .175 .121 .065 .145 .416 .635 .754 .873 .677 .135 .074 .065 .096 .499 .854 .918 .985 .673 .117 .061 .066 .056 .507 .971 .980 1.000 .602 .126 .063 .051 .030 .441 .932 .891 .882 .496 .166 .074 .023 .016 .352 .772 .673 .664 .390 .221 .078 .002 .014 .287 .577 .423 .415 .302 .273 .071 .008 .019 .268 .425 .231 .223 .245 .300 .052 .043 r_peak,r_snr = .1307065 5.60261 Correlation Surface of oversamples image at 846 5846 .201 .272 .388 .584 .802 .817 .506 .173 .070 .234 .318 .442 .653 .884 .861 .487 .146 .057 .259 .357 .485 .706 .942 .877 .455 .123 .050 .279 .393 .527 .756 .989 .877 .424 .110 .051 .285 .413 .551 .779 1.000 .846 .387 .102 .058 .268 .401 .533 .748 .943 .763 .334 .095 .067 .242 .371 .488 .678 .838 .649 .278 .090 .081 .225 .346 .445 .607 .733 .549 .241 .100 .110 .210 .317 .393 .526 .619 .457 .218 .120 .152 846 2.125 5846 -6.219 5.60261 .136011 1.316530 .180952 Correlation Surface at 946 5846 .216 .326 .565 .834 .976 .861 .618 .493 .533 .222 .332 .581 .858 .996 .874 .634 .494 .521 .229 .344 .598 .873 1.000 .879 .659 .511 .521 .237 .362 .610 .869 .981 .871 .686 .541 .529 .249 .384 .614 .842 .947 .857 .710 .576 .538 .264 .412 .610 .802 .909 .841 .727 .607 .544 .280 .439 .600 .764 .881 .825 .732 .624 .540 r_peak,r_snr = .5354101 2.15233 Correlation Surface of oversamples image at 946 5846 .494 .632 .778 .900 .959 .939 .846 .717 .597 .495 .636 .787 .917 .979 .957 .856 .721 .597 .495 .639 .795 .929 .992 .967 .862 .724 .597 .498 .644 .803 .937 .999 .971 .864 .726 .599 .503 .650 .809 .941 1.000 .970 .862 .728 .603 .509 .657 .813 .940 .993 .961 .857 .730 .609 .517 .664 .816 .934 .980 .946 .849 .732 .618 .526 .670 .815 .922 .960 .927 .838 .733 .628 .534 .675 .809 .904 .936 .904 .825 .733 .638 946 .094 5846 -13.781 2.15233 .009068 .725916 .011174 Correlation Surface at 1046 5846 .108 .077 .008 .023 .304 .299 .031 .033 .006 .063 .011 .021 .097 .525 .418 .068 .086 .055 .025 .005 .140 .236 .785 .550 .105 .135 .120 .006 .047 .294 .389 .977 .644 .126 .159 .169 .001 .085 .377 .467 1.000 .645 .123 .164 .190 .001 .083 .346 .423 .851 .552 .106 .167 .189 .003 .048 .246 .296 .613 .418 .093 .177 .172 .012 .013 .145 .166 .390 .297 .090 .197 .145 r_peak,r_snr = .1683603 9.6481 Correlation Surface of oversamples image at 1046 5846 .087 .084 .131 .355 .715 .772 .381 .086 .015 .119 .124 .195 .462 .835 .863 .435 .110 .026 .140 .158 .255 .556 .929 .933 .480 .131 .036 .150 .183 .304 .624 .989 .980 .519 .153 .049 .146 .194 .329 .650 1.000 .993 .543 .172 .062 .124 .181 .319 .624 .954 .962 .542 .181 .070 .093 .152 .281 .555 .868 .902 .527 .185 .078 .066 .119 .231 .471 .772 .844 .518 .196 .093 .041 .084 .172 .376 .667 .776 .505 .209 .111 1046 -.750 5846 10.844 9.64810 .016951 .411869 .020139 Correlation Surface at 1146 5846 .001 .540 .973 .406 .214 .014 .011 .172 .156 .000 .622 .992 .508 .456 .085 .051 .133 .078 .000 .547 .858 .595 .729 .218 .114 .075 .020 .000 .370 .629 .634 .932 .365 .180 .031 .000 .003 .191 .399 .609 1.000 .456 .219 .011 .010 .011 .070 .227 .535 .920 .447 .220 .008 .026 .031 .014 .121 .436 .723 .360 .207 .020 .026 .062 .001 .067 .335 .498 .264 .211 .055 .011 .093 .000 .048 .245 .313 .202 .248 .116 .000 r_peak,r_snr = .11503 4.42465 Correlation Surface of oversamples image at 1146 5846 .241 .149 .176 .391 .629 .516 .209 .041 .002 .169 .119 .192 .477 .751 .606 .265 .069 .007 .109 .094 .209 .560 .858 .680 .316 .100 .015 .066 .077 .230 .640 .948 .739 .359 .129 .025 .038 .066 .250 .701 1.000 .764 .383 .151 .034 .019 .057 .261 .723 .992 .740 .376 .158 .040 .008 .050 .264 .707 .929 .673 .343 .152 .042 .004 .049 .266 .672 .837 .587 .300 .140 .044 .002 .051 .262 .610 .714 .483 .246 .122 .045 1146 .000 5846 2.188 4.42465 .037382 1.383443 -.092500 Correlation Surface at 1246 5846 .013 .053 .333 .042 .338 .509 .004 .189 .111 .000 .065 .240 .000 .570 .554 .002 .326 .120 .024 .078 .158 .028 .818 .548 .018 .410 .097 .093 .096 .092 .103 .984 .464 .044 .396 .057 .179 .112 .045 .183 1.000 .315 .064 .295 .024 .226 .102 .015 .236 .863 .145 .070 .167 .007 .203 .062 .002 .255 .635 .031 .068 .073 .000 .126 .018 .000 .241 .404 .000 .066 .028 .001 .040 .000 .000 .204 .221 .015 .068 .012 .011 r_peak,r_snr = .1030418 6.63211 Correlation Surface of oversamples image at 1246 5846 .231 .004 .166 .601 .919 .872 .469 .041 .110 .162 .000 .213 .651 .938 .852 .424 .023 .149 .098 .007 .266 .704 .963 .838 .385 .012 .180 .046 .028 .325 .757 .988 .826 .348 .005 .204 .013 .061 .386 .800 1.000 .797 .305 .001 .221 .000 .103 .437 .821 .980 .738 .252 .000 .228 .004 .148 .481 .823 .931 .654 .193 .002 .224 .022 .202 .527 .820 .870 .563 .140 .007 .206 .049 .259 .568 .805 .791 .462 .091 .014 .182 1246 1.500 5846 -8.813 6.63211 .046641 2.251076 .274650 Correlation Surface at 1446 5846 .630 .710 .756 .476 .522 .852 .661 .326 .289 .637 .701 .601 .425 .621 .884 .730 .448 .330 .645 .650 .474 .458 .760 .907 .797 .570 .363 .669 .583 .397 .557 .905 .923 .858 .667 .380 .709 .521 .371 .678 1.000 .917 .905 .723 .377 .751 .472 .379 .762 .993 .881 .939 .735 .365 .777 .442 .403 .765 .893 .827 .967 .725 .363 .762 .427 .419 .686 .759 .774 .983 .716 .381 .692 .417 .410 .568 .650 .737 .971 .722 .424 r_peak,r_snr = .2039804 2.32572 Correlation Surface of oversamples image at 1446 5846 .376 .393 .516 .676 .829 .916 .889 .806 .701 .360 .408 .567 .754 .900 .945 .880 .790 .703 .368 .446 .631 .832 .961 .966 .872 .780 .712 .395 .500 .698 .896 1.000 .971 .859 .770 .722 .430 .556 .751 .927 1.000 .947 .828 .752 .726 .470 .608 .781 .919 .961 .899 .789 .734 .733 .526 .666 .801 .892 .910 .855 .765 .734 .757 .585 .715 .801 .845 .850 .814 .747 .741 .788 .619 .726 .757 .760 .764 .754 .713 .731 .799 1446 -.906 5846 .188 2.32572 .085206 .940562 .190799 Correlation Surface at 1546 5846 .244 .364 .467 .612 .911 .843 .616 .507 .399 .250 .366 .474 .640 .938 .824 .637 .551 .409 .262 .379 .491 .690 .970 .805 .659 .592 .427 .280 .403 .516 .751 .994 .787 .681 .620 .445 .298 .431 .541 .808 1.000 .770 .697 .633 .458 .317 .459 .566 .849 .981 .757 .704 .634 .463 .335 .479 .589 .866 .939 .752 .703 .632 .460 .351 .487 .612 .860 .880 .749 .697 .635 .456 .365 .487 .638 .840 .815 .745 .697 .648 .450 r_peak,r_snr = .4627037 2.8142 Correlation Surface of oversamples image at 1546 5846 .509 .576 .682 .830 .950 .935 .797 .673 .614 .517 .590 .708 .863 .971 .930 .783 .668 .624 .526 .606 .735 .896 .988 .922 .768 .663 .632 .535 .622 .762 .925 .999 .911 .754 .659 .639 .543 .638 .785 .945 1.000 .895 .740 .655 .644 .551 .652 .802 .954 .989 .873 .726 .651 .646 .557 .662 .811 .949 .965 .848 .713 .648 .646 .565 .673 .815 .935 .935 .823 .704 .649 .647 .573 .682 .811 .909 .896 .796 .698 .651 .648 1546 -.063 5846 -7.094 2.81420 .016215 1.454819 .123054 Correlation Surface at 1646 5846 .356 .684 .616 .527 .633 .600 .265 .125 .114 .343 .597 .605 .591 .756 .701 .285 .096 .105 .328 .503 .586 .651 .875 .792 .296 .076 .119 .320 .429 .563 .683 .961 .847 .302 .070 .158 .326 .388 .544 .676 1.000 .854 .310 .084 .217 .344 .382 .532 .638 .984 .817 .326 .122 .282 .373 .409 .524 .578 .917 .741 .346 .176 .324 .412 .464 .518 .510 .818 .648 .363 .229 .330 .460 .544 .510 .446 .711 .565 .378 .263 .306 r_peak,r_snr = .2536178 3.02201 Correlation Surface of oversamples image at 1646 5846 .586 .664 .761 .868 .894 .778 .513 .246 .092 .572 .664 .779 .905 .933 .803 .523 .248 .090 .559 .662 .796 .939 .969 .823 .533 .254 .093 .543 .654 .807 .967 .994 .833 .539 .262 .101 .521 .637 .804 .977 1.000 .827 .536 .269 .111 .497 .612 .789 .971 .988 .807 .526 .276 .126 .476 .586 .768 .956 .966 .782 .518 .288 .148 .453 .555 .738 .925 .927 .745 .503 .300 .173 .421 .512 .688 .866 .859 .686 .474 .303 .193 1646 .313 5846 1.469 3.02201 .022321 1.468049 -.018290 Correlation Surface at 1746 5846 .263 .206 .022 .057 .335 .279 .064 .135 .096 .265 .172 .003 .090 .553 .393 .098 .176 .106 .299 .144 .000 .159 .775 .458 .118 .180 .088 .382 .140 .004 .269 .940 .473 .114 .140 .053 .523 .178 .034 .407 1.000 .451 .086 .078 .020 .703 .268 .124 .540 .945 .405 .050 .025 .002 .853 .398 .289 .637 .807 .337 .018 .001 .001 .890 .539 .495 .665 .624 .259 .003 .003 .014 .785 .642 .669 .610 .437 .191 .000 .008 .031 r_peak,r_snr = .1680021 6.83007 Correlation Surface of oversamples image at 1746 5846 1.623 1.744 1.273 1.089 1.538 2.308 2.820 2.870 2.483 1.870 2.090 1.685 1.577 2.085 2.718 2.948 2.800 2.325 2.021 2.346 2.068 2.080 2.605 3.012 2.929 2.605 2.090 2.227 2.672 2.564 2.739 3.259 3.384 2.974 2.488 1.941 1746 3.188 5846 3.844 6.83007 .022487 1.185802 .123038 Correlation Surface at 1846 5846 .384 .476 .553 .614 .877 .770 .455 .442 .620 .396 .462 .531 .679 .961 .765 .426 .425 .616 .404 .445 .527 .735 1.000 .738 .411 .408 .570 .414 .432 .532 .760 .981 .690 .409 .390 .499 .436 .431 .539 .744 .911 .630 .409 .367 .425 .473 .446 .544 .695 .811 .571 .404 .341 .372 .517 .480 .545 .632 .709 .524 .391 .314 .348 r_peak,r_snr = .4032631 2.2038 Correlation Surface of oversamples image at 1846 5846 .730 .654 .695 .837 .957 .931 .762 .580 .478 .709 .663 .732 .880 .979 .914 .716 .531 .442 .693 .677 .771 .919 .993 .890 .668 .481 .406 .680 .695 .810 .954 1.000 .862 .620 .434 .372 .671 .713 .843 .980 1.000 .831 .574 .392 .341 .661 .725 .865 .993 .991 .798 .532 .355 .314 .651 .732 .877 .995 .975 .765 .497 .327 .295 .644 .736 .880 .987 .954 .736 .471 .311 .284 1846 1.438 5846 -15.750 2.20380 .008842 .382709 .033841 Correlation Surface at 1946 5846 .059 .126 .107 .359 .566 .212 .078 .060 .028 .066 .143 .118 .447 .698 .262 .105 .087 .037 .068 .157 .136 .537 .837 .314 .131 .108 .042 .067 .166 .155 .601 .949 .357 .149 .119 .042 .066 .171 .169 .610 1.000 .378 .153 .118 .038 .068 .175 .172 .565 .981 .378 .145 .113 .032 .074 .183 .166 .488 .911 .367 .137 .108 .028 .085 .190 .153 .410 .823 .356 .137 .106 .025 .096 .192 .141 .359 .756 .354 .148 .108 .024 r_peak,r_snr = .3801608 10.00433 Correlation Surface of oversamples image at 1946 5846 .206 .236 .374 .635 .870 .835 .538 .239 .088 .213 .247 .397 .677 .931 .894 .578 .260 .098 .216 .254 .410 .704 .976 .945 .617 .282 .108 .216 .254 .412 .712 .999 .979 .647 .299 .116 .211 .249 .403 .701 1.000 .996 .667 .312 .121 .206 .241 .385 .672 .979 .999 .681 .323 .126 .201 .230 .358 .627 .937 .984 .684 .330 .130 .193 .215 .325 .569 .876 .949 .675 .330 .130 .185 .199 .289 .507 .806 .903 .656 .327 .130 1946 -.250 5846 -3.781 10.00434 .002295 .279850 -.004927 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .3010765 12.75125 146 .031 3046 -.531 12.75126 .002439 .174715 .003025 r_peak,r_snr = .2693223 12.16902 246 -.063 3046 .750 12.16902 .003532 .457674 .014879 r_peak,r_snr = .3037239 2.34613 346 6.969 3046 -1.188 2.34613 .011685 .732498 -.037268 r_peak,r_snr = .3498251 15.65211 446 .156 3046 -.375 15.65211 .001934 .067069 .002445 r_peak,r_snr = .1357296 9.00371 546 -.094 3046 .938 9.00371 .017249 .801505 .027842 r_peak,r_snr = .1155183 4.27101 646 13.125 3046 -9.813 4.27101 .028707 4.176243 .003002 r_peak,r_snr = .2533233 8.09616 746 .063 3046 -.250 8.09616 .006019 .504574 .006839 r_peak,r_snr = .191283 6.21891 846 -3.531 3046 -13.094 6.21891 .060395 3.232507 -.308215 r_peak,r_snr = 6.42406E-02 1.99527 1046 -14.781 3046 13.844 1.99527 .632287 31.489069 4.298751 r_peak,r_snr = .2006152 4.67924 1146 -.094 3046 7.750 4.67924 .130100 4.611016 -.627434 r_peak,r_snr = .3028915 2.98444 1246 .625 3046 -5.688 2.98444 .011856 .770199 .028311 r_peak,r_snr = .3317172 2.5977 1346 -13.781 3046 12.750 2.59770 .057628 2.271714 .286011 r_peak,r_snr = .223061 3.47572 1446 -6.063 3046 -2.188 3.47572 .031347 .644262 .019951 r_peak,r_snr = .200805 2.53644 1546 -.688 3046 -13.781 2.53644 .041463 .737583 .103775 r_peak,r_snr = .6055298 2.68634 1746 -1.844 3046 -8.219 2.68634 .004713 .782240 .026472 r_peak,r_snr = 9.30443E-02 6.08648 1946 .813 3046 -4.844 6.08648 .013701 3.417664 .030898 r_peak,r_snr = .3299232 3.11275 2046 -.219 3046 10.219 3.11275 .020953 1.451292 -.016552 At line = 3400 Reading in data.... r_peak,r_snr = .3628674 12.35712 146 .031 3446 .219 12.35712 .002771 .129114 .002825 r_peak,r_snr = .4099133 3.36304 246 -.156 3446 .750 3.36304 .003705 .587657 -.015081 r_peak,r_snr = .3238647 14.39497 346 -.156 3446 -.063 14.39497 .002218 .084603 .000011 r_peak,r_snr = .2635397 11.45841 446 -.125 3446 1.188 11.45841 .003973 .388813 -.004662 r_peak,r_snr = .1743362 4.01749 646 -.094 3446 .000 4.01749 .007116 .469683 -.003515 r_peak,r_snr = .3383615 7.07494 746 .563 3446 -1.438 7.07494 .004340 .559602 -.018677 r_peak,r_snr = .131271 4.17724 846 -2.938 3446 -3.281 4.17724 .206832 7.228808 .978274 r_peak,r_snr = .1500233 4.04636 1046 -10.938 3446 -8.813 4.04636 .067838 3.138254 -.035458 r_peak,r_snr = .1525313 4.44212 1146 -2.469 3446 11.656 4.44212 .059464 .601683 .060809 r_peak,r_snr = .3048335 3.01248 1246 1.063 3446 -9.813 3.01248 .021685 .738809 .004892 r_peak,r_snr = .2069897 3.57859 1446 -7.875 3446 11.250 3.57859 .011393 .904585 .036386 r_peak,r_snr = .1376235 5.48298 1646 -12.563 3446 3.719 5.48298 .070485 .710180 .051268 r_peak,r_snr = .3287457 3.30995 1746 -1.594 3446 10.406 3.30995 .103495 1.125207 -.081587 r_peak,r_snr = .5577427 4.56602 1846 -.250 3446 1.250 4.56602 .003774 .157240 .004146 r_peak,r_snr = .2462393 3.81633 1946 -10.000 3446 2.188 3.81633 .025070 2.900500 .187266 At line = 3800 Reading in data.... r_peak,r_snr = .4292399 11.31125 146 .031 3846 .250 11.31126 .001584 .072904 .000623 r_peak,r_snr = .279406 10.31185 246 -.063 3846 -.031 10.31186 .007749 .202828 .009160 r_peak,r_snr = .3100001 8.66502 346 .156 3846 .094 8.66502 .004136 .107557 .005289 r_peak,r_snr = .2657349 4.78576 446 -.781 3846 -.781 4.78576 .050294 3.512106 .182526 r_peak,r_snr = .2603989 10.02984 546 .344 3846 -1.719 10.02984 .007085 .236129 .015237 r_peak,r_snr = .3463619 3.14294 646 -.219 3846 4.813 3.14294 .005363 .526703 .022627 r_peak,r_snr = .2173333 9.95034 846 -.500 3846 -.281 9.95034 .006195 .702272 .011900 r_peak,r_snr = .2497786 2.85394 1046 5.844 3846 -2.281 2.85394 .018869 1.026005 .042393 r_peak,r_snr = .3946193 2.81178 1246 -1.531 3846 5.344 2.81178 .272974 41.802650 -3.270956 r_peak,r_snr = .3671376 2.24811 1346 -3.969 3846 5.188 2.24811 .015623 3.750285 .020026 r_peak,r_snr = .1679792 3.46778 1446 -4.219 3846 12.719 3.46778 .022829 .549447 .050289 r_peak,r_snr = 6.66354E-02 1.34033 1646 -1.219 3846 -3.219 1.34033 .270294 16.808931 -1.810019 r_peak,r_snr = .1363109 5.54552 1746 14.313 3846 13.219 5.54552 .033271 .426282 .090127 r_peak,r_snr = .5467894 1.90795 1846 -1.219 3846 -13.875 1.90795 .008535 1.406742 .067968 r_peak,r_snr = .2294885 4.05519 1946 -10.063 3846 -10.563 4.05519 .058798 1.080652 .197884 r_peak,r_snr = .2274933 4.38166 2046 -4.750 3846 13.813 4.38166 .019335 1.475533 .028473 At line = 4200 Reading in data.... r_peak,r_snr = .370277 7.80553 146 -.219 4246 -.469 7.80553 .003534 .155531 .001812 r_peak,r_snr = .3433772 2.31421 246 .250 4246 .469 2.31421 .011055 .210857 .005181 r_peak,r_snr = .3106361 5.02947 346 -.250 4246 -.969 5.02947 .005515 .302735 -.012472 r_peak,r_snr = .1923571 3.77317 446 .094 4246 2.875 3.77317 .032719 1.254408 -.154856 r_peak,r_snr = .256804 8.69237 546 .156 4246 -.750 8.69237 .005728 .664865 .029996 r_peak,r_snr = .3847062 5.4678 646 -.031 4246 -.031 5.46780 .001808 .181113 -.000223 r_peak,r_snr = 9.89625E-02 5.45605 846 -.656 4246 10.000 5.45605 .061926 3.257220 .409080 r_peak,r_snr = .1578912 4.19162 946 -11.406 4246 13.375 4.19162 .075211 2.639490 .136109 r_peak,r_snr = .1579759 7.88709 1046 .125 4246 .750 7.88709 .013777 1.954296 .074086 r_peak,r_snr = .4497438 2.79943 1246 -5.125 4246 -11.469 2.79943 .009949 1.658174 .021139 r_peak,r_snr = .1470727 15.97246 1346 -.031 4246 .125 15.97247 .004992 .343212 .010487 r_peak,r_snr = .374332 2.75779 1446 -1.844 4246 7.313 2.75779 .006979 .442565 .006041 r_peak,r_snr = .4623153 4.64357 1546 .031 4246 -1.813 4.64357 .003744 1.440252 .009302 r_peak,r_snr = .202118 2.75881 1646 -.219 4246 1.813 2.75881 .005075 .557069 .002656 r_peak,r_snr = .1351432 5.39771 1746 -5.094 4246 10.813 5.39771 .019085 .760891 .030328 r_peak,r_snr = .290094 3.57591 1846 -11.719 4246 -14.781 3.57591 .047046 2.438017 .249975 r_peak,r_snr = .152836 6.92561 1946 -.625 4246 2.813 6.92561 .015428 .939476 -.023312 r_peak,r_snr = .1484729 5.05512 2046 .219 4246 6.781 5.05512 .025882 1.362527 -.092274 At line = 4600 Reading in data.... r_peak,r_snr = .2577952 7.25572 146 .031 4646 .750 7.25572 .004498 .251217 -.006792 r_peak,r_snr = .2050322 18.42099 246 .031 4646 .000 18.42100 .002895 .380059 .005589 r_peak,r_snr = .3207701 4.71271 346 .094 4646 -.750 4.71271 .003287 .385280 .007789 r_peak,r_snr = .1918017 9.61853 446 -1.219 4646 13.000 9.61853 .021388 .658563 -.023254 r_peak,r_snr = .4960881 7.11026 546 -.188 4646 1.469 7.11026 .002319 .248287 -.010625 r_peak,r_snr = .2086069 5.54114 846 .406 4646 .406 5.54114 .016311 .232615 -.003328 r_peak,r_snr = .3396411 3.97365 946 -.688 4646 1.969 3.97365 .019510 .711275 .077360 r_peak,r_snr = .1500889 6.61082 1046 -14.250 4646 -13.656 6.61082 .014130 .792698 .047529 r_peak,r_snr = .2671196 7.35612 1146 -6.969 4646 -14.813 7.35612 .009417 23.749598 .139239 r_peak,r_snr = .4882292 4.85486 1246 -.063 4646 -3.781 4.85486 .003727 .672805 .009592 r_peak,r_snr = .1225245 3.29892 1546 -4.188 4646 -8.281 3.29892 .014034 .736268 .023552 r_peak,r_snr = .2940692 2.98945 1646 -1.875 4646 -6.781 2.98945 .013481 .833549 .033820 r_peak,r_snr = .13722 3.05293 1746 -.219 4646 -4.219 3.05293 .031794 15.878014 .437273 r_peak,r_snr = .1602668 6.79147 1946 .094 4646 -13.188 6.79147 .188434 1.556496 .467935 r_peak,r_snr = .137032 7.06114 2046 3.969 4646 1.625 7.06114 .029716 .620550 .050345 At line = 5000 Reading in data.... r_peak,r_snr = .4031398 13.21483 146 .250 5046 -.219 13.21484 .002410 .111048 -.001189 r_peak,r_snr = .2830275 25.88406 246 .000 5046 -.531 25.88407 .001938 .094129 .002955 r_peak,r_snr = .1804267 11.2181 346 .063 5046 .813 11.21810 .011241 .282414 .016038 r_peak,r_snr = .3293797 1.84132 446 -8.250 5046 -.031 1.84132 .177396 1.197608 .389087 r_peak,r_snr = .2806356 7.97788 546 .219 5046 1.688 7.97788 .005355 .724649 -.021415 r_peak,r_snr = .4846293 7.56528 646 .156 5046 -.188 7.56528 .001889 .649565 .000532 r_peak,r_snr = .2371785 8.13899 746 .063 5046 2.813 8.13899 .005206 12.811913 -.157929 r_peak,r_snr = .2428572 9.79312 846 -.188 5046 -.906 9.79312 .006513 .322432 -.004708 r_peak,r_snr = .2699483 3.00953 946 1.906 5046 -7.156 3.00953 .011178 .870874 .069468 r_peak,r_snr = .14194 7.74099 1046 -.625 5046 .344 7.74099 .018418 .443973 -.047304 r_peak,r_snr = .1196885 10.85581 1146 7.625 5046 .313 10.85582 .015201 1.172555 .013968 r_peak,r_snr = .4238105 3.98461 1246 -.125 5046 -1.750 3.98461 .004543 .456282 .015976 r_peak,r_snr = .1593526 6.62196 1346 1.031 5046 11.219 6.62196 .023760 7.021348 .333040 r_peak,r_snr = .2506222 4.93152 1446 -8.313 5046 -10.031 4.93152 .015084 4.926254 -.035716 r_peak,r_snr = 4.70738E-02 .3589869 1546 -4.250 5046 -.813 .35899 .439839 50.167511 4.512544 r_peak,r_snr = .2133648 7.64723 1646 -1.938 5046 2.688 7.64723 .044700 .840750 .096563 r_peak,r_snr = .1430075 5.28849 1746 -13.594 5046 -.188 5.28849 .028637 1.297141 .075820 r_peak,r_snr = .1842413 4.73923 1946 -12.094 5046 7.781 4.73923 .026289 1.049618 .061643 At line = 5400 Reading in data.... r_peak,r_snr = .2353492 6.79402 146 -.250 5446 -.938 6.79402 .005186 .216719 .009520 r_peak,r_snr = .2413439 18.78013 246 -.094 5446 -.281 18.78013 .001872 .074792 -.000502 r_peak,r_snr = .3024618 5.42291 346 -.375 5446 -.188 5.42291 .016749 .280720 -.043822 r_peak,r_snr = .4549544 4.01579 446 .031 5446 .219 4.01579 .005071 .322294 -.003324 r_peak,r_snr = .6177942 5.3692 546 .094 5446 -.313 5.36920 .001633 .182608 .009927 r_peak,r_snr = .4731358 7.03547 646 -.219 5446 .781 7.03547 .001962 .187133 .007194 r_peak,r_snr = .2443614 6.68529 746 .063 5446 10.500 6.68529 .020079 .683361 -.013570 r_peak,r_snr = .2186754 5.7337 846 -10.938 5446 -3.000 5.73370 .031986 .721981 .052862 r_peak,r_snr = .3632026 3.65978 946 .594 5446 3.813 3.65978 .007879 1.282834 -.067075 r_peak,r_snr = .2859218 2.39715 1046 -8.125 5446 -11.813 2.39715 .009280 .265189 .013480 r_peak,r_snr = .1819374 10.71615 1146 4.844 5446 -3.813 10.71616 .009178 .474269 .029982 r_peak,r_snr = .2901819 9.40964 1246 .250 5446 .188 9.40964 .020007 .714357 .061719 r_peak,r_snr = .1794123 6.46591 1346 -11.063 5446 12.375 6.46591 .013583 .744265 .065016 r_peak,r_snr = .3390875 6.10713 1546 -.188 5446 1.688 6.10713 .003484 .772185 .002285 r_peak,r_snr = 8.81767E-02 5.09038 1746 -13.750 5446 -6.156 5.09038 .024798 4.835435 .200542 r_peak,r_snr = .1286413 8.20728 1846 -3.469 5446 4.125 8.20728 .027140 2.161819 .046071 r_peak,r_snr = .5775657 2.93642 1946 -.063 5446 -.125 2.93642 .001984 .061864 .002592 correlation error At line = 5800 Reading in data.... r_peak,r_snr = .2017266 12.19173 146 -.219 5846 1.219 12.19174 .004429 .656721 .004847 r_peak,r_snr = .3203705 18.04356 246 .188 5846 .281 18.04356 .002508 .123255 .001741 r_peak,r_snr = .3596127 3.59555 346 -3.813 5846 4.188 3.59555 .012583 4.189781 .155690 r_peak,r_snr = .2019807 7.11851 446 -.188 5846 -.188 7.11851 .005975 .163085 .000423 r_peak,r_snr = .5764667 7.22544 546 -.250 5846 1.344 7.22544 .001428 .133290 -.001098 r_peak,r_snr = .4896408 6.46124 646 -.188 5846 1.156 6.46124 .003316 .477070 .018655 r_peak,r_snr = .2013443 7.35728 746 .000 5846 -.719 7.35728 .007950 .579070 -.020184 r_peak,r_snr = .1591535 5.19525 846 -.219 5846 2.844 5.19525 .009333 2.314524 .084667 r_peak,r_snr = .4577863 1.90116 946 .500 5846 .531 1.90116 .003747 .282100 -.005109 r_peak,r_snr = .1628649 5.78872 1046 -14.063 5846 -9.219 5.78872 .013823 1.354228 -.013831 r_peak,r_snr = .1954144 9.08107 1146 1.594 5846 -5.656 9.08107 .012585 .529038 -.044972 r_peak,r_snr = .1679596 8.32165 1346 .188 5846 .344 8.32165 .006800 .548704 .016330 r_peak,r_snr = .1468689 5.7177 1446 -8.500 5846 -3.781 5.71770 .067109 5.553959 .426363 r_peak,r_snr = .3038739 6.18283 1546 -.125 5846 -1.219 6.18283 .020986 1.471073 .147454 r_peak,r_snr = .1142809 5.4894 1746 1.469 5846 -13.750 5.48940 .023340 1.428644 -.025230 r_peak,r_snr = .4213024 10.20988 1946 -.063 5846 .375 10.20988 .002058 .129433 .005563 r_peak,r_snr = .1652015 8.62275 2046 -7.250 5846 3.813 8.62275 .014983 .490385 .017966 ************************************************* ***** 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 94033 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 94033 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 94033 FOUND CALIB SET 94033 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: 27.7 -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: 27.70 deg Receiver phase difference is 101.50 deg Transmitter phase difference is 129.20 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 Thu May 7 01:25:59 PDT 1998