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 Tue May 5 15:17:19 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: - - - - - - - - - - - - - - - - - - - - - With 1min to go, the waypoints switched causing some slight moti onng in turn, looks OK now; no drift, very smooth, winds 239 at 10kts; CPA @ 15:57:57 IDR=185650 FC=3,455,696 drft 0.1; no RFI upbrick, 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: 94055 94055 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5283 prod ID1:*5283*5283* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94055 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.30 2 7 5 14 12 4 >> start range = 8454.1485 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 2 7 5 14 12 4 Done decoding data from header array... Data collected on ==> 28-JUL-1994 Starting and end GPS times for SAR data -171316144.1290 -171316094.4100 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02512 -.60223 .33087 .1030060 1 ca .00148 -.14996 .13687 .0345836 0 aa -.01896 -.07379 .02023 .0173365 1 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87667 53.96667 .0258379 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58750 -.70000 -.40000 .0901388 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8217.74023 8220.54004 .6869713 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171316144.128886 -171316144.129 GPS trend coefficients = -1.42010488906122 4.16945907003871 -1.99895860812498 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02511 -.60223 .33087 .1030185 0 ca .00148 -.14996 .13687 .0345836 0 aa -.01897 -.07379 .02023 .0173364 0 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 delx .25720 .25714 .25722 .0000162 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87833 53.96667 .0258334 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58719 -.70000 -.40000 .0904411 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8219.07053 8220.12288 .2413959 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00395 -.58349 .35141 .1073023 0 ca .00149 -.15025 .13714 .0352738 0 aa -.01934 -.07393 .02027 .0175730 0 Average Barometric Altitude = 7949.799791250045 Average Radar Altitude = 7769.374383749964 Average GPS Altitude = 8219.688476562473 >>Record # : 64 >>GPS Stuff = 2.30 2 7 5 14 1 >>Record # : 40960 >>GPS Stuff = 2.30 2 7 5 14 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.786884683440348E-04 Standard deviation of difference = 4.659711531351848E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9051514 -104.5469666 8219.648 End position = 53.9510384 -104.5736160 8219.845 Loxodromic Heading (deg) = -18.9192703 Loxodromic Distance (km) = 5399.0677095 Geodesic Heading (deg) = -18.9085032 Geodesic Distance (km) = 5399.0676483 Peg latitude and longitude = 53.9290161 -104.5608292 Peg heading = -18.9051483 Rotation matrix First row = -.148025618 -.121347904 -.981510623 Second row = -.569876003 .821582038 -.015630000 Third row = .808288165 .557025710 -.190768448 Translation vector Vector = -1974.48242 -7601.45550 -23806.15862 Local Radius of Curvature = 6378791.961001683 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2591878148260971 Delta s on reference surface = .2591878161798524 Making fits... Vertical fit coefficients = 8219.164516372755 .2273420806117201 2.190101594852222E-04 Cross track fit coefficients = -2.07452633470147 7.915281644957327E-02 1.192673375214600E-03 Along track fit coefficients = -5353.26614685137 216.3167268563635 5.179636832189693E-03 Miscellaneous Information Start range = 8454.1485 Start ground range = 3333.083939114361 Time orgin = -171316144.128886 Pulse spacing = .2572031263136548 First frame = 4121520 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/cm5283_c.par Enter the raw data file name. /data2/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5283_c.mocomph Enter a file name for the range spectrum: /data2/airops/db_c_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-246.242,.0) (-373.334,.0) (79.43283,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 557459.8 Pulse#/64: 65 1073 564505.5 Pulse#/64: 129 1073 579017.6 Pulse#/64: 193 1073 448660.9 Pulse#/64: 257 1073 630673.6 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.82212Power RMS: 2.12575 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 804.4091Amp. RMS: 246.1342 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -72.4707Phase RMS: 249.9549 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.77111 CalTone Power Coherently dB : 57.82212 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.77111 Incoherent PW - Coherent PW : 35.94899 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 48698.98 CalTone Amplitude Coherently : 804.4091 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 47894.57 ------------ *** ------------ running time (sec): 81.99 ********** 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/cm5283_c.par Enter the raw data file name. /data2/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5283_c.mocompv Enter a file name for the range spectrum: /data2/airops/db_c_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-71.6593,.0) (-75.6404,.0) (.0,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 697044.6 Pulse#/64: 65 1073 1813349. Pulse#/64: 129 1073 699266.7 Pulse#/64: 193 1073 825888.5 Pulse#/64: 257 1073 348582.5 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.24273Power RMS: 1.99835 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 833.0534Amp. RMS: 152.0596 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -57.3151Phase RMS: 235.5134 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.34436 CalTone Power Coherently dB : 58.24273 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.34436 Incoherent PW - Coherent PW : 36.10163 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 52183.89 CalTone Amplitude Coherently : 833.0534 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 51350.83 ------------ *** ------------ running time (sec): 63.95 ********** 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/cm5283_c.par Enter the raw data file name. /data2/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5283_c.mocomph Enter a file name for the range spectrum: /data2/airops/db_c_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-171.186,.0) (119.4321,.0) (-87.5836,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 577496.5 Pulse#/64: 65 1073 457166.8 Pulse#/64: 129 1073 686221.8 Pulse#/64: 193 1073 543020.9 Pulse#/64: 257 1073 743586.2 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.40649Power RMS: 1.79579 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 755.6681Amp. RMS: 132.7014 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -108.828Phase RMS: 227.9276 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.76362 CalTone Power Coherently dB : 57.40649 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.76362 Incoherent PW - Coherent PW : 36.35713 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 48812.43 CalTone Amplitude Coherently : 755.6681 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 48056.76 ------------ *** ------------ running time (sec): 65.22 ********** 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/cm5283_c.par Enter the raw data file name. /data2/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5283_c.mocompv Enter a file name for the range spectrum: /data2/airops/db_c_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_c_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_c_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_c_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-119.149,.0) (222.4119,.0) (-238.298,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 889385.0 Pulse#/64: 65 1073 536509.5 Pulse#/64: 129 1073 672042.1 Pulse#/64: 193 1073 1040270. Pulse#/64: 257 1073 1198920. Estimate Caltone : 1160 -----CalTone Estimate Position --- CalTone Bin at : 1160 1073 CalTone Bin offset : -87 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.56734Power RMS: 1.84156 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 867.8688Amp. RMS: 202.1142 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 34.80522Phase RMS: 230.5392 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.5171 CalTone Power Coherently dB : 58.56734 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.5171 Incoherent PW - Coherent PW : 35.94976 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 53208.62 CalTone Amplitude Coherently : 867.8688 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 52340.75 ------------ *** ------------ running time (sec): 66.33 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.66889 5.67351E-05 z fit: constant and linear terms: .5240977 -4.55918E-09 y and z standard deviations (meters) .1712729 .2080436 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 = -1.57125E-02 -2.08056E-02 -2.23522E-02 -2.45681E-02 Differences = 5.14719E-03 5.40335E-05 -1.49258E-03 -3.70841E-03 PATCH NUMER 2 First line = 1889 Averages = -2.23113E-02 -2.38284E-02 -2.92549E-02 -2.12956E-02 Differences = 1.86134E-03 3.44263E-04 -5.08228E-03 2.87700E-03 PATCH NUMER 3 First line = 3777 Averages = -3.04574E-02 -2.07686E-02 -1.47622E-02 -1.67266E-02 Differences = -9.77871E-03 -8.99136E-05 5.91651E-03 3.95213E-03 PATCH NUMER 4 First line = 5665 Averages = -1.67093E-02 -1.42840E-02 -2.16189E-02 -2.70290E-02 Differences = 3.20092E-03 5.62630E-03 -1.70867E-03 -7.11875E-03 PATCH NUMER 5 First line = 7553 Averages = -2.19635E-02 -2.66352E-02 -2.08727E-02 -1.80845E-02 Differences = -7.44574E-05 -4.74618E-03 1.01632E-03 3.80455E-03 PATCH NUMER 6 First line = 9441 Averages = -2.11305E-02 -2.00255E-02 -1.66479E-02 -1.49876E-02 Differences = -2.93256E-03 -1.82757E-03 1.55000E-03 3.21028E-03 PATCH NUMER 7 First line = 11329 Averages = -1.57622E-02 -1.54320E-02 -1.72832E-02 -2.21611E-02 Differences = 1.89746E-03 2.22768E-03 3.76500E-04 -4.50142E-03 PATCH NUMER 8 First line = 13217 Averages = -1.63043E-02 -2.23526E-02 -1.73476E-02 -1.28831E-02 Differences = 9.17679E-04 -5.13061E-03 -1.25648E-04 4.33893E-03 PATCH NUMER 9 First line = 15105 Averages = -1.79648E-02 -1.45976E-02 -4.93665E-03 -5.71188E-03 Differences = -7.16203E-03 -3.79483E-03 5.86611E-03 5.09087E-03 PATCH NUMER 10 First line = 16993 Averages = -5.06832E-03 -6.00303E-03 -8.46888E-03 -9.75361E-03 Differences = 2.25517E-03 1.32047E-03 -1.14538E-03 -2.43011E-03 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.cp Please enter the name of the parameter file /data3/airops/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_hh Name of the mocomp data file? /data3/airops/cm5283_c.mocomph Output file name? /data3/airops/cm5283_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 = 2.197 Processing 10 blocks Processing block number 1 reference line: 2048 2.197 seconds. Range compression done, time = 64.658 shift in azimuth (fractional pixel)= -.499715 Motion comp. coeff. calculated, time = 64.680 Motion comp. added to patch, time = 111.931 Doppler estimation done, time = 111.932 Azimuth compression starting, time : 112.004 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 284.287 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 294.867 seconds. Range compression done, time = 348.299 shift in azimuth (fractional pixel)= -.499725 Motion comp. coeff. calculated, time = 348.321 Motion comp. added to patch, time = 387.289 Doppler estimation done, time = 387.289 Azimuth compression starting, time : 387.362 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 561.487 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 572.134 seconds. Range compression done, time = 626.644 shift in azimuth (fractional pixel)= -.49972 Motion comp. coeff. calculated, time = 626.665 Motion comp. added to patch, time = 664.765 Doppler estimation done, time = 664.766 Azimuth compression starting, time : 664.838 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 838.123 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 846.680 seconds. Range compression done, time = 900.124 shift in azimuth (fractional pixel)= -.499715 Motion comp. coeff. calculated, time = 900.145 Motion comp. added to patch, time = 937.944 Doppler estimation done, time = 937.945 Azimuth compression starting, time : 938.017 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1109.448 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1120.888 seconds. Range compression done, time = 1174.154 shift in azimuth (fractional pixel)= -.49972 Motion comp. coeff. calculated, time = 1174.174 Motion comp. added to patch, time = 1211.969 Doppler estimation done, time = 1211.969 Azimuth compression starting, time : 1212.041 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1383.356 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1391.782 seconds. Range compression done, time = 1445.293 shift in azimuth (fractional pixel)= -.499712 Motion comp. coeff. calculated, time = 1445.316 Motion comp. added to patch, time = 1483.057 Doppler estimation done, time = 1483.057 Azimuth compression starting, time : 1483.129 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1655.734 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1666.190 seconds. Range compression done, time = 1719.601 shift in azimuth (fractional pixel)= -.499726 Motion comp. coeff. calculated, time = 1719.622 Motion comp. added to patch, time = 1757.344 Doppler estimation done, time = 1757.344 Azimuth compression starting, time : 1757.417 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1929.073 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1936.757 seconds. Range compression done, time = 1990.406 shift in azimuth (fractional pixel)= -.499734 Motion comp. coeff. calculated, time = 1990.428 Motion comp. added to patch, time = 2028.237 Doppler estimation done, time = 2028.237 Azimuth compression starting, time : 2028.309 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2199.772 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2208.967 seconds. Range compression done, time = 2262.608 shift in azimuth (fractional pixel)= -.499722 Motion comp. coeff. calculated, time = 2262.750 Motion comp. added to patch, time = 2300.636 Doppler estimation done, time = 2300.636 Azimuth compression starting, time : 2300.710 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2472.409 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2480.017 seconds. Range compression done, time = 2556.054 shift in azimuth (fractional pixel)= -.499723 Motion comp. coeff. calculated, time = 2556.075 Motion comp. added to patch, time = 2594.205 Doppler estimation done, time = 2594.206 Azimuth compression starting, time : 2594.289 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2765.813 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_c.hh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 1887 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1886 1887 2991 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2990 Processing block number 3 2991 3781 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3780 3781 4885 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4884 Processing block number 4 4885 5666 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5665 5666 6770 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6769 Processing block number 5 6770 7545 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7544 7545 8649 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8648 Processing block number 6 8649 9446 13 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9445 9446 10550 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10549 Processing block number 7 10550 11352 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11351 11352 12456 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12455 Processing block number 8 168 962 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13249 962 2066 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14353 Processing block number 9 2066 2857 7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15144 2857 3961 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16248 Processing block number 10 3961 4130 -6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16417 4130 5234 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17521 Writing the last 2207 lines Total # of output lines = 19728 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_hv Name of the mocomp data file? /data3/airops/cm5283_c.mocomph Output file name? /data3/airops/cm5283_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 = 2.553 Processing 10 blocks Processing block number 1 reference line: 2048 2.554 seconds. Range compression done, time = 58.583 shift in azimuth (fractional pixel)= -.499715 Motion comp. coeff. calculated, time = 58.604 Motion comp. added to patch, time = 108.096 Doppler estimation done, time = 108.097 Azimuth compression starting, time : 108.171 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 293.316 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 296.918 seconds. Range compression done, time = 350.536 shift in azimuth (fractional pixel)= -.499725 Motion comp. coeff. calculated, time = 350.556 Motion comp. added to patch, time = 398.829 Doppler estimation done, time = 398.829 Azimuth compression starting, time : 398.903 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 582.779 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 593.048 seconds. Range compression done, time = 646.407 shift in azimuth (fractional pixel)= -.49972 Motion comp. coeff. calculated, time = 646.428 Motion comp. added to patch, time = 695.654 Doppler estimation done, time = 695.655 Azimuth compression starting, time : 695.729 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 880.564 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 884.114 seconds. Range compression done, time = 938.201 shift in azimuth (fractional pixel)= -.499715 Motion comp. coeff. calculated, time = 938.222 Motion comp. added to patch, time = 986.963 Doppler estimation done, time = 986.963 Azimuth compression starting, time : 987.038 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1172.977 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1184.008 seconds. Range compression done, time = 1237.856 shift in azimuth (fractional pixel)= -.49972 Motion comp. coeff. calculated, time = 1237.877 Motion comp. added to patch, time = 1286.965 Doppler estimation done, time = 1286.965 Azimuth compression starting, time : 1287.039 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1472.376 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1475.872 seconds. Range compression done, time = 1530.637 shift in azimuth (fractional pixel)= -.499712 Motion comp. coeff. calculated, time = 1530.657 Motion comp. added to patch, time = 1579.052 Doppler estimation done, time = 1579.053 Azimuth compression starting, time : 1579.126 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1765.922 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1779.051 seconds. Range compression done, time = 1833.367 shift in azimuth (fractional pixel)= -.499726 Motion comp. coeff. calculated, time = 1833.388 Motion comp. added to patch, time = 1881.950 Doppler estimation done, time = 1881.950 Azimuth compression starting, time : 1882.024 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2069.245 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2072.411 seconds. Range compression done, time = 2126.358 shift in azimuth (fractional pixel)= -.499734 Motion comp. coeff. calculated, time = 2126.378 Motion comp. added to patch, time = 2176.022 Doppler estimation done, time = 2176.022 Azimuth compression starting, time : 2176.096 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2361.193 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2364.604 seconds. Range compression done, time = 2419.622 shift in azimuth (fractional pixel)= -.499722 Motion comp. coeff. calculated, time = 2419.643 Motion comp. added to patch, time = 2468.375 Doppler estimation done, time = 2468.376 Azimuth compression starting, time : 2468.451 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2654.592 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2662.249 seconds. Range compression done, time = 2716.966 shift in azimuth (fractional pixel)= -.499723 Motion comp. coeff. calculated, time = 2716.989 Motion comp. added to patch, time = 2765.342 Doppler estimation done, time = 2765.342 Azimuth compression starting, time : 2765.427 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2952.753 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_c.hv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 1887 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1886 1887 2991 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2990 Processing block number 3 2991 3781 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3780 3781 4885 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4884 Processing block number 4 4885 5666 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5665 5666 6770 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6769 Processing block number 5 6770 7545 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7544 7545 8649 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8648 Processing block number 6 8649 9446 13 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9445 9446 10550 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10549 Processing block number 7 10550 11352 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11351 11352 12456 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12455 Processing block number 8 168 962 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13249 962 2066 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14353 Processing block number 9 2066 2857 7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15144 2857 3961 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16248 Processing block number 10 3961 4130 -6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16417 4130 5234 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17521 Writing the last 2207 lines Total # of output lines = 19728 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_vh Name of the mocomp data file? /data3/airops/cm5283_c.mocompv Output file name? /data3/airops/cm5283_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 = 2.355 Processing 10 blocks Processing block number 1 reference line: 2048 2.355 seconds. Range compression done, time = 59.333 Motion comp. coeff. calculated, time = 59.353 Motion comp. added to patch, time = 98.324 Doppler estimation done, time = 98.324 Azimuth compression starting, time : 98.398 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 273.281 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 277.018 seconds. Range compression done, time = 332.400 Motion comp. coeff. calculated, time = 332.421 Motion comp. added to patch, time = 371.306 Doppler estimation done, time = 371.306 Azimuth compression starting, time : 371.379 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 544.715 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 554.953 seconds. Range compression done, time = 609.434 Motion comp. coeff. calculated, time = 609.454 Motion comp. added to patch, time = 647.909 Doppler estimation done, time = 647.909 Azimuth compression starting, time : 647.981 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 823.136 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 827.084 seconds. Range compression done, time = 882.154 Motion comp. coeff. calculated, time = 882.174 Motion comp. added to patch, time = 920.167 Doppler estimation done, time = 920.168 Azimuth compression starting, time : 920.240 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1094.729 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1104.519 seconds. Range compression done, time = 1159.608 Motion comp. coeff. calculated, time = 1159.628 Motion comp. added to patch, time = 1197.886 Doppler estimation done, time = 1197.886 Azimuth compression starting, time : 1197.958 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1372.553 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1376.208 seconds. Range compression done, time = 1432.989 Motion comp. coeff. calculated, time = 1433.009 Motion comp. added to patch, time = 1471.220 Doppler estimation done, time = 1471.220 Azimuth compression starting, time : 1471.293 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1645.430 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1653.291 seconds. Range compression done, time = 1708.370 Motion comp. coeff. calculated, time = 1708.390 Motion comp. added to patch, time = 1746.580 Doppler estimation done, time = 1746.580 Azimuth compression starting, time : 1746.652 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1922.388 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1930.067 seconds. Range compression done, time = 1985.341 Motion comp. coeff. calculated, time = 1985.361 Motion comp. added to patch, time = 2023.957 Doppler estimation done, time = 2023.957 Azimuth compression starting, time : 2024.029 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2230.366 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2239.654 seconds. Range compression done, time = 2296.295 Motion comp. coeff. calculated, time = 2296.441 Motion comp. added to patch, time = 2358.259 Doppler estimation done, time = 2358.299 Azimuth compression starting, time : 2358.373 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2535.558 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2543.387 seconds. Range compression done, time = 2597.740 Motion comp. coeff. calculated, time = 2597.773 Motion comp. added to patch, time = 2636.763 Doppler estimation done, time = 2636.763 Azimuth compression starting, time : 2636.850 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2811.106 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_c.vh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 1887 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1886 1887 2991 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2990 Processing block number 3 2991 3781 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3780 3781 4885 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4884 Processing block number 4 4885 5666 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5665 5666 6770 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6769 Processing block number 5 6770 7545 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7544 7545 8649 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8648 Processing block number 6 8649 9446 13 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9445 9446 10550 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10549 Processing block number 7 10550 11352 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11351 11352 12456 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12455 Processing block number 8 168 962 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13249 962 2066 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14353 Processing block number 9 2066 2857 7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15144 2857 3961 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16248 Processing block number 10 3961 4130 -6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16417 4130 5234 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17521 Writing the last 2207 lines Total # of output lines = 19728 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data2/airops/c_vv Name of the mocomp data file? /data3/airops/cm5283_c.mocompv Output file name? /data3/airops/cm5283_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 = 2.314 Processing 10 blocks Processing block number 1 reference line: 2048 2.314 seconds. Range compression done, time = 59.897 Motion comp. coeff. calculated, time = 59.918 Motion comp. added to patch, time = 99.711 Doppler estimation done, time = 99.711 Azimuth compression starting, time : 99.784 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 274.176 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 277.851 seconds. Range compression done, time = 332.373 Motion comp. coeff. calculated, time = 332.393 Motion comp. added to patch, time = 370.853 Doppler estimation done, time = 370.853 Azimuth compression starting, time : 370.925 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 552.167 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 562.390 seconds. Range compression done, time = 616.127 Motion comp. coeff. calculated, time = 616.148 Motion comp. added to patch, time = 654.371 Doppler estimation done, time = 654.371 Azimuth compression starting, time : 654.443 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 842.719 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 846.320 seconds. Range compression done, time = 900.604 Motion comp. coeff. calculated, time = 900.624 Motion comp. added to patch, time = 939.579 Doppler estimation done, time = 939.579 Azimuth compression starting, time : 939.651 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1135.712 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1145.616 seconds. Range compression done, time = 1199.796 Motion comp. coeff. calculated, time = 1199.817 Motion comp. added to patch, time = 1238.458 Doppler estimation done, time = 1238.458 Azimuth compression starting, time : 1238.538 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1440.379 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1443.992 seconds. Range compression done, time = 1499.009 Motion comp. coeff. calculated, time = 1499.029 Motion comp. added to patch, time = 1537.305 Doppler estimation done, time = 1537.305 Azimuth compression starting, time : 1537.390 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1746.107 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1759.249 seconds. Range compression done, time = 1813.241 Motion comp. coeff. calculated, time = 1813.262 Motion comp. added to patch, time = 1851.659 Doppler estimation done, time = 1851.660 Azimuth compression starting, time : 1851.741 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2060.784 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2064.053 seconds. Range compression done, time = 2119.068 Motion comp. coeff. calculated, time = 2119.088 Motion comp. added to patch, time = 2157.290 Doppler estimation done, time = 2157.290 Azimuth compression starting, time : 2157.362 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2366.040 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2369.343 seconds. Range compression done, time = 2424.583 Motion comp. coeff. calculated, time = 2424.603 Motion comp. added to patch, time = 2463.096 Doppler estimation done, time = 2463.096 Azimuth compression starting, time : 2463.170 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2674.608 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2682.319 seconds. Range compression done, time = 2736.686 Motion comp. coeff. calculated, time = 2736.706 Motion comp. added to patch, time = 2774.919 Doppler estimation done, time = 2774.919 Azimuth compression starting, time : 2775.003 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2987.193 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_c.vv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 1887 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1886 1887 2991 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2990 Processing block number 3 2991 3781 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3780 3781 4885 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4884 Processing block number 4 4885 5666 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5665 5666 6770 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6769 Processing block number 5 6770 7545 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7544 7545 8649 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8648 Processing block number 6 8649 9446 13 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9445 9446 10550 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10549 Processing block number 7 10550 11352 18 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11351 11352 12456 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12455 Processing block number 8 168 962 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13249 962 2066 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14353 Processing block number 9 2066 2857 7 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15144 2857 3961 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16248 Processing block number 10 3961 4130 -6 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16417 4130 5234 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17521 Writing the last 2207 lines Total # of output lines = 19728 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: 1095 *************************************** ***** ***** ***** 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 94055 writing parheadC writing parhead 20.0 writing parhead 94.3 writing parhead 93.8 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9517381 83.65342 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 .024 .034 .001 .080 .268 .181 .000 .055 .033 .006 .045 .004 .090 .390 .295 .017 .003 .012 .027 .031 .000 .149 .623 .298 .051 .010 .000 .083 .007 .064 .343 .883 .326 .086 .043 .009 .044 .007 .215 .592 1.000 .348 .055 .030 .030 .039 .025 .255 .512 .847 .228 .001 .001 .035 .059 .042 .212 .278 .597 .231 .001 .003 .018 .042 .032 .130 .192 .496 .304 .019 .000 .020 .033 .001 .031 .166 .427 .269 .055 .024 .050 r_peak,r_snr = .1389389 10.66463 Correlation Surface of oversamples image at 146 3046 .003 .034 .155 .381 .565 .529 .305 .095 .006 .010 .053 .204 .489 .691 .589 .321 .121 .026 .022 .081 .272 .614 .828 .658 .350 .160 .064 .043 .130 .369 .750 .944 .716 .380 .195 .103 .079 .200 .474 .854 1.000 .732 .382 .193 .105 .115 .252 .525 .864 .970 .693 .341 .147 .067 .126 .247 .475 .759 .857 .615 .283 .098 .033 .114 .192 .346 .573 .698 .541 .261 .088 .028 .098 .124 .205 .383 .556 .518 .309 .131 .049 146 -.094 3046 -.344 10.66464 .019098 .280502 .029123 Correlation Surface at 246 3046 .001 .006 .016 .009 .032 .003 .019 .000 .024 .009 .049 .042 .006 .156 .145 .021 .056 .172 .039 .081 .049 .009 .326 .273 .005 .012 .130 .002 .019 .011 .106 .835 .230 .036 .071 .003 .047 .001 .002 .273 1.000 .288 .026 .245 .055 .001 .031 .065 .067 .307 .190 .000 .140 .058 .057 .074 .110 .015 .025 .079 .005 .013 .004 .005 .011 .026 .019 .012 .045 .025 .020 .007 .000 .007 .003 .011 .023 .000 .000 .057 .061 r_peak,r_snr = .1127647 22.33427 Correlation Surface of oversamples image at 246 3046 .050 .021 .000 .041 .156 .254 .195 .054 .000 .044 .014 .007 .120 .331 .405 .214 .024 .015 .031 .001 .056 .317 .621 .581 .239 .016 .031 .025 .002 .151 .566 .912 .751 .308 .035 .016 .042 .003 .198 .667 1.000 .826 .391 .079 .002 .098 .001 .142 .530 .815 .739 .425 .122 .000 .193 .025 .046 .276 .490 .523 .369 .129 .002 .266 .076 .001 .088 .224 .308 .264 .109 .004 .265 .113 .009 .016 .095 .182 .189 .097 .013 246 .063 3046 .906 22.33428 .012635 .033938 -.000304 Correlation Surface at 346 3046 .000 .066 .036 .073 .173 .021 .003 .041 .098 .516 .072 .012 .004 .028 .116 .014 .002 .016 .036 .208 .002 .005 .006 .334 1.000 .031 .033 .021 .644 .909 .088 .033 .063 .738 .628 .156 .003 .005 .256 .290 .400 .001 .132 .000 .011 r_peak,r_snr = 7.22073E-02 6.64175 Correlation Surface of oversamples image at 346 3046 .071 .008 .000 .034 .235 .625 .780 .529 .177 .122 .034 .020 .091 .302 .655 .778 .418 .041 .146 .068 .080 .229 .484 .756 .729 .324 .015 .145 .105 .193 .480 .788 .915 .681 .262 .025 .124 .122 .302 .713 1.000 .976 .627 .236 .055 .076 .071 .222 .560 .754 .727 .493 .199 .053 .014 .000 .017 .106 .187 .250 .230 .087 .002 .004 .024 .032 .007 .000 .027 .072 .024 .016 346 13.219 3046 -5.031 6.64175 .067144 .088731 .041285 Correlation Surface at 446 3046 .030 .119 .162 .007 .341 .275 .021 .001 .004 .003 .003 .023 .029 .601 .249 .009 .026 .067 .023 .164 .363 .000 .635 .194 .036 .082 .053 .275 .900 .894 .000 .920 .368 .005 .023 .000 .160 .427 .100 .209 1.000 .511 .092 .002 .017 .004 .001 .132 .504 .630 .118 .000 .050 .099 .000 .000 .037 .440 .437 .000 .150 .289 .297 .177 .156 .002 .332 .441 .014 .065 .236 .393 .292 .075 .005 .132 .304 .115 .000 .061 .161 r_peak,r_snr = 8.70894E-02 10.63303 Correlation Surface of oversamples image at 446 3046 .016 .002 .033 .204 .348 .242 .046 .012 .130 .106 .012 .047 .285 .451 .298 .057 .010 .124 .256 .026 .073 .413 .636 .445 .118 .000 .072 .342 .024 .116 .568 .861 .643 .218 .010 .025 .247 .003 .187 .698 1.000 .751 .278 .027 .006 .064 .019 .298 .774 .984 .687 .238 .022 .004 .002 .129 .446 .820 .886 .532 .142 .003 .020 .065 .274 .587 .863 .793 .382 .057 .007 .077 .107 .349 .674 .900 .728 .277 .017 .036 .155 446 .000 3046 -.313 10.63304 .087181 .509775 .179109 Correlation Surface at 546 3046 .009 .003 .047 .377 .605 .287 .016 .009 .007 .037 .010 .060 .500 .794 .313 .003 .004 .000 .056 .012 .099 .635 .941 .349 .000 .001 .015 .044 .001 .151 .645 .934 .391 .006 .000 .019 .035 .000 .162 .659 1.000 .431 .029 .000 .001 .031 .000 .133 .603 .976 .411 .030 .001 .003 .013 .001 .103 .495 .816 .326 .020 .001 .000 .003 .004 .096 .434 .645 .332 .045 .000 .003 .001 .020 .091 .311 .509 .409 .103 .000 .001 r_peak,r_snr = .2512227 12.5918 Correlation Surface of oversamples image at 546 3046 .161 .368 .586 .721 .682 .434 .132 .002 .036 .232 .459 .679 .813 .774 .509 .174 .009 .020 .271 .511 .746 .909 .899 .628 .249 .030 .005 .263 .503 .753 .958 .996 .735 .319 .055 .000 .218 .436 .684 .919 1.000 .759 .339 .064 .000 .163 .339 .565 .799 .892 .673 .292 .050 .000 .118 .252 .443 .650 .721 .525 .212 .029 .002 .091 .197 .359 .525 .559 .387 .148 .018 .003 .078 .172 .319 .451 .456 .308 .123 .018 .001 546 -.125 3046 .219 12.59180 .006810 .556865 -.011810 Correlation Surface at 646 3046 .004 .001 .000 .036 .418 .679 .377 .144 .001 .003 .001 .003 .044 .479 .725 .431 .159 .002 .030 .011 .000 .111 .479 .603 .318 .078 .001 .078 .011 .039 .289 .635 .555 .242 .048 .002 .055 .000 .162 .557 1.000 .735 .258 .053 .004 .023 .006 .108 .464 .930 .607 .199 .032 .001 .018 .003 .023 .208 .435 .374 .188 .030 .001 .024 .000 .011 .115 .188 .288 .227 .069 .030 .057 .018 .008 .088 .155 .301 .254 .070 .045 r_peak,r_snr = .1637898 11.38382 Correlation Surface of oversamples image at 646 3046 .004 .040 .114 .255 .451 .585 .544 .387 .245 .025 .101 .212 .371 .547 .623 .522 .346 .215 .072 .203 .370 .562 .721 .727 .559 .356 .222 .124 .293 .518 .764 .918 .852 .618 .388 .246 .134 .293 .544 .838 1.000 .892 .633 .404 .261 .090 .203 .424 .717 .882 .790 .575 .383 .251 .037 .103 .264 .504 .651 .606 .474 .338 .224 .011 .051 .162 .332 .446 .444 .383 .298 .200 .004 .035 .117 .228 .305 .327 .313 .263 .182 646 -.938 3046 8.438 11.38383 .027199 .067540 .007024 Correlation Surface at 746 3046 .043 .006 .059 .175 .179 .001 .060 .004 .014 .052 .000 .057 .295 .371 .050 .006 .005 .000 .047 .013 .061 .527 .717 .286 .024 .000 .002 .056 .007 .106 .718 .942 .392 .021 .002 .001 .075 .003 .082 .671 1.000 .299 .008 .002 .004 .179 .041 .011 .255 .422 .181 .086 .019 .024 .435 .261 .028 .007 .040 .197 .410 .272 .000 .690 .434 .085 .015 .002 .117 .443 .432 .078 .616 .220 .019 .018 .000 .067 .148 .136 .029 r_peak,r_snr = .1184072 10.0752 Correlation Surface of oversamples image at 746 3046 .000 .031 .178 .420 .566 .486 .266 .098 .033 .000 .027 .163 .371 .511 .473 .301 .153 .077 .000 .031 .172 .400 .573 .560 .388 .220 .102 .000 .033 .200 .516 .790 .783 .535 .283 .105 .001 .023 .214 .632 1.000 .965 .619 .292 .096 .013 .008 .186 .606 .919 .819 .484 .226 .088 .049 .000 .126 .418 .551 .423 .242 .146 .101 .107 .003 .069 .213 .217 .130 .086 .109 .156 .174 .012 .030 .080 .055 .021 .027 .101 .235 746 -.313 3046 6.094 10.07521 .022904 .057241 -.004786 Correlation Surface at 846 3046 .083 .000 .013 .029 .317 .141 .000 .011 .000 .013 .018 .063 .031 .587 .361 .028 .004 .029 .020 .057 .047 .076 .783 .481 .066 .022 .019 .042 .042 .019 .130 .883 .542 .096 .011 .000 .001 .001 .006 .173 1.000 .510 .065 .002 .001 .000 .003 .035 .085 .730 .294 .007 .001 .015 .001 .029 .095 .004 .386 .227 .001 .001 .026 .002 .018 .082 .002 .321 .268 .017 .001 .002 .003 .010 .057 .000 .303 .239 .043 .005 .014 r_peak,r_snr = .1560919 19.2497 Correlation Surface of oversamples image at 846 3046 .012 .008 .158 .496 .778 .740 .467 .225 .097 .007 .011 .168 .526 .839 .805 .505 .242 .106 .003 .015 .183 .574 .911 .851 .516 .236 .098 .001 .020 .205 .636 .987 .883 .503 .208 .072 .001 .022 .214 .656 1.000 .860 .454 .158 .038 .003 .014 .181 .584 .898 .762 .374 .101 .010 .012 .002 .115 .441 .724 .634 .297 .058 .000 .031 .001 .054 .294 .556 .528 .248 .037 .001 .046 .009 .020 .192 .435 .462 .233 .038 .001 846 .125 3046 -1.219 19.24970 .007923 .097991 .004220 Correlation Surface at 946 3046 .005 .015 .002 .082 .300 .113 .047 .088 .072 .005 .009 .008 .044 .408 .201 .055 .060 .016 .025 .002 .006 .067 .571 .278 .048 .048 .016 .031 .001 .002 .200 .887 .359 .035 .072 .079 .006 .013 .009 .290 1.000 .294 .010 .083 .142 .000 .059 .034 .184 .697 .156 .001 .058 .045 .000 .049 .046 .108 .548 .178 .011 .045 .009 .007 .021 .014 .176 .598 .173 .006 .042 .031 .001 .003 .005 .296 .554 .068 .001 .030 .055 r_peak,r_snr = .1695108 15.1428 Correlation Surface of oversamples image at 946 3046 .062 .034 .011 .241 .499 .382 .116 .009 .000 .035 .007 .058 .393 .664 .486 .161 .022 .004 .020 .001 .153 .585 .848 .613 .225 .041 .009 .016 .013 .252 .742 .985 .707 .272 .050 .008 .021 .018 .289 .782 1.000 .700 .254 .034 .001 .029 .014 .267 .729 .930 .631 .201 .014 .001 .036 .007 .219 .646 .864 .593 .176 .007 .003 .046 .002 .168 .575 .847 .629 .203 .012 .001 .054 .000 .137 .546 .878 .706 .263 .034 .003 946 -.031 3046 -.188 15.14280 .006326 .070998 .004308 Correlation Surface at 1046 3046 .002 .002 .002 .000 .059 .030 .000 .005 .079 .022 .008 .004 .000 .161 .096 .003 .002 .037 .003 .000 .052 .012 .503 .321 .028 .002 .010 .008 .012 .031 .117 .941 .611 .103 .003 .000 .000 .001 .000 .219 1.000 .574 .074 .001 .004 .068 .006 .001 .079 .538 .307 .036 .008 .010 .119 .001 .039 .003 .264 .181 .036 .023 .036 .019 .035 .052 .009 .276 .156 .008 .074 .047 .000 .036 .019 .097 .486 .158 .003 .102 .066 r_peak,r_snr = .146441 20.9887 Correlation Surface of oversamples image at 1046 3046 .022 .000 .078 .256 .349 .265 .120 .028 .001 .039 .001 .118 .375 .500 .370 .166 .045 .005 .031 .008 .199 .538 .669 .479 .219 .069 .013 .008 .039 .326 .744 .858 .586 .266 .088 .019 .001 .096 .466 .927 1.000 .645 .278 .084 .014 .011 .141 .526 .954 .973 .598 .242 .060 .003 .011 .125 .442 .773 .765 .461 .180 .034 .000 .002 .069 .285 .514 .508 .314 .130 .024 .001 .002 .023 .155 .309 .314 .207 .101 .025 .000 1046 .281 3046 -.250 20.98871 .010857 .057756 .004114 Correlation Surface at 1146 3046 .119 .003 .086 .227 .632 .208 .040 .075 .098 .095 .006 .085 .372 .768 .244 .099 .164 .126 .131 .077 .026 .405 .905 .273 .137 .165 .056 .053 .034 .038 .406 .933 .277 .062 .063 .000 .001 .004 .045 .345 1.000 .290 .014 .026 .004 .041 .062 .022 .200 .696 .219 .042 .046 .009 .043 .077 .054 .197 .400 .208 .149 .042 .027 .044 .083 .167 .305 .331 .209 .228 .045 .006 .113 .156 .261 .377 .242 .119 .187 .132 .005 r_peak,r_snr = .1151282 11.53588 Correlation Surface of oversamples image at 1146 3046 .037 .218 .466 .674 .667 .403 .162 .090 .125 .070 .272 .528 .737 .699 .399 .149 .079 .114 .131 .333 .593 .823 .778 .446 .161 .073 .089 .175 .355 .629 .912 .901 .541 .200 .072 .065 .175 .329 .621 .961 1.000 .639 .251 .084 .062 .156 .290 .569 .904 .968 .651 .284 .113 .088 .153 .270 .490 .729 .768 .541 .279 .156 .140 .189 .297 .433 .538 .530 .398 .260 .206 .200 .277 .385 .433 .424 .377 .300 .244 .242 .236 1146 -.188 3046 3.125 11.53589 .014142 .201865 -.009170 Correlation Surface at 1246 3046 .034 .006 .092 .407 .293 .045 .004 .021 .015 .001 .000 .148 .700 .224 .001 .006 .014 .001 .000 .000 .203 .916 .460 .103 .048 .001 .012 .003 .002 .223 .937 .887 .493 .185 .010 .026 .047 .034 .216 .860 1.000 .726 .304 .052 .048 .042 .025 .185 .728 .881 .721 .407 .155 .072 .005 .019 .200 .563 .775 .619 .399 .174 .053 .003 .049 .177 .445 .592 .504 .358 .113 .015 .000 .022 .156 .368 .429 .328 .210 .049 .000 r_peak,r_snr = .1604512 10.27521 Correlation Surface of oversamples image at 1246 3046 .002 .108 .423 .630 .443 .167 .045 .016 .008 .004 .139 .503 .756 .600 .312 .152 .097 .067 .014 .172 .550 .858 .796 .535 .334 .232 .161 .040 .204 .556 .902 .952 .740 .503 .350 .243 .080 .219 .518 .872 1.000 .834 .584 .415 .303 .097 .201 .448 .780 .935 .802 .582 .445 .355 .077 .164 .380 .678 .827 .727 .565 .472 .399 .045 .132 .335 .599 .737 .681 .576 .504 .420 .025 .113 .299 .527 .660 .656 .595 .519 .407 1246 .406 3046 2.375 10.27521 .141094 .386676 -.159803 Correlation Surface at 1446 3046 .650 .583 .181 .110 .357 .259 .004 .003 .015 .366 .282 .155 .296 1.000 .484 .020 .000 .057 .081 .164 .120 .188 .960 .579 .019 .005 .047 .107 .116 .050 .102 .716 .572 .002 .017 .027 .224 .088 .081 .098 .651 .547 .005 .017 .009 .303 .179 .344 .351 .618 .303 .004 .067 .015 r_peak,r_snr = 8.17446E-02 7.28327 Correlation Surface of oversamples image at 1446 3046 16.000 13.161 7.054 3.707 3.112 14.235 9.392 4.548 2.921 2.966 8.385 4.514 2.650 2.714 2.734 3.961 2.465 2.858 3.949 2.960 2.715 3.365 5.710 6.767 3.762 1446 3.156 3046 -17.813 7.28327 .034322 .100141 -.007299 Correlation Surface at 1546 3046 .076 .015 .101 .241 .344 .265 .085 .061 .053 .045 .011 .029 .087 .302 .252 .057 .017 .009 .042 .003 .073 .193 .530 .282 .000 .054 .027 .033 .000 .078 .298 .771 .288 .025 .144 .011 .028 .003 .120 .471 1.000 .257 .019 .060 .001 .020 .032 .331 .745 .865 .112 .001 .000 .014 .085 .003 .090 .402 .503 .126 .037 .001 .013 .231 .136 .013 .111 .470 .414 .100 .010 .001 .162 .101 .051 .030 .613 .680 .151 .023 .075 r_peak,r_snr = .117943 9.52382 Correlation Surface of oversamples image at 1546 3046 .332 .895 1.613 1.822 1.184 .460 .166 .129 .169 .107 .561 1.278 1.726 1.488 .907 .467 .243 .146 .023 .377 1.187 2.039 2.254 1.703 .926 .382 .129 .007 .310 1.290 2.642 3.298 2.683 1.536 .667 .212 1546 .531 3046 -.156 9.52382 .024354 .260936 .049983 Correlation Surface at 1646 3046 .037 .011 .065 .238 .284 .034 .065 .052 .018 .017 .020 .045 .172 .277 .004 .002 .002 .054 .006 .022 .006 .198 .548 .023 .002 .006 .139 .003 .007 .001 .414 .934 .084 .002 .028 .138 .007 .008 .001 .612 1.000 .134 .033 .112 .160 .015 .049 .008 .646 .960 .263 .170 .259 .135 .000 .027 .020 .443 .658 .267 .201 .237 .060 .001 .006 .012 .171 .292 .126 .105 .168 .053 .022 .004 .004 .029 .121 .082 .087 .153 .064 r_peak,r_snr = .1328634 17.12457 Correlation Surface of oversamples image at 1646 3046 .001 .002 .005 .146 .465 .532 .264 .067 .016 .001 .007 .009 .224 .656 .719 .361 .092 .018 .005 .008 .022 .331 .843 .870 .422 .097 .012 .009 .004 .045 .426 .962 .946 .440 .087 .007 .008 .000 .077 .487 1.000 .963 .446 .090 .012 .004 .003 .117 .524 .981 .932 .457 .125 .049 .000 .015 .162 .531 .892 .838 .456 .188 .135 .000 .030 .185 .477 .720 .670 .411 .236 .222 .001 .033 .158 .351 .499 .477 .325 .225 .232 1646 -.281 3046 1.969 17.12458 .011636 1.876519 -.037013 Correlation Surface at 1746 3046 .071 .258 .113 .000 .004 .006 .020 .225 .129 .002 .010 .029 .003 .075 .029 .038 .127 .216 .005 .120 .010 .145 .411 .042 .065 .231 .380 .046 .352 .000 .302 .797 .302 .034 .208 .185 .102 .167 .007 .400 1.000 .674 .227 .221 .159 .071 .141 .001 .199 .297 .174 .132 .174 .046 .133 .201 .012 .006 .025 .000 .014 .037 .014 .259 .091 .001 .028 .000 .077 .008 .002 .034 .125 .087 .018 .103 .349 .118 .002 .012 .007 r_peak,r_snr = 7.39773E-02 8.4322 Correlation Surface of oversamples image at 1746 3046 .121 .042 .054 .086 .093 .092 .090 .018 .063 .291 .264 .275 .173 .048 .017 .033 .020 .042 .439 .375 .153 .001 .162 .204 .053 .012 .120 .216 .052 .099 .967 1.830 1.415 .591 .303 .425 1746 2.375 3046 7.906 8.43220 .075222 .071418 .001774 Correlation Surface at 1846 3046 .326 .408 .078 .237 .418 .031 .000 .004 .028 .191 .231 .015 .150 .148 .016 .045 .012 .021 .050 .011 .010 .166 .109 .051 .147 .049 .006 .051 .072 .000 .263 .453 .261 .130 .123 .218 .049 .255 .041 .273 1.000 .327 .009 .044 .108 .005 .142 .053 .258 .971 .209 .001 .004 .018 .005 .175 .104 .143 .567 .233 .033 .021 .046 .021 .238 .111 .054 .536 .342 .009 .046 .016 .006 .118 .042 .053 .772 .246 .018 .087 .017 r_peak,r_snr = .1037828 10.92647 Correlation Surface of oversamples image at 1846 3046 .005 .124 .324 .314 .135 .042 .068 .253 .513 .007 .072 .332 .471 .362 .223 .202 .296 .401 .092 .012 .283 .629 .669 .459 .270 .191 .167 .219 .002 .219 .733 .907 .590 .233 .072 .028 .265 .017 .185 .786 1.000 .603 .186 .029 .002 .242 .017 .193 .787 .938 .539 .174 .037 .005 .223 .008 .218 .733 .801 .479 .208 .089 .033 .242 .006 .205 .622 .682 .478 .284 .166 .072 .283 .014 .141 .497 .645 .557 .374 .203 .061 1846 -.125 3046 -4.406 10.92647 .015783 .090259 .001620 Correlation Surface at 1946 3046 .007 .001 .000 .006 .254 .380 .118 .001 .070 .086 .133 .015 .047 .429 .443 .117 .003 .098 .099 .089 .000 .109 .532 .503 .066 .000 .011 .016 .011 .000 .145 .918 .519 .019 .040 .025 .015 .038 .000 .298 1.000 .265 .001 .114 .129 .058 .109 .003 .192 .325 .045 .021 .051 .063 .124 .272 .104 .016 .121 .073 .128 .002 .004 .063 .245 .093 .050 .265 .166 .084 .000 .005 .008 .017 .002 .208 .205 .112 .071 .011 .001 r_peak,r_snr = .1021676 10.46239 Correlation Surface of oversamples image at 1946 3046 .005 .048 .148 .300 .456 .508 .371 .179 .050 .003 .028 .112 .301 .540 .611 .400 .144 .012 .000 .012 .113 .402 .740 .756 .429 .121 .001 .005 .012 .178 .603 .961 .833 .415 .104 .000 .004 .032 .289 .768 1.000 .738 .334 .088 .001 .000 .069 .371 .764 .814 .518 .223 .075 .009 .001 .083 .342 .587 .539 .311 .140 .071 .022 .000 .052 .226 .366 .325 .194 .108 .077 .029 .009 .019 .128 .232 .234 .164 .109 .077 .020 1946 .031 3046 .813 10.46239 .017555 .057070 .011927 Correlation Surface at 2046 3046 .004 .001 .082 .061 .024 .042 .110 .016 .000 .018 .000 .000 .000 .000 .000 .024 .007 .001 .000 .016 .031 .013 .050 .081 .050 .052 .010 .015 .000 .000 .047 .628 .426 .099 .048 .000 .012 .082 .087 .431 1.000 .290 .037 .036 .007 .206 .193 .110 .411 .534 .045 .030 .176 .094 .244 .110 .015 .114 .207 .038 .110 .232 .058 .162 .051 .000 .038 .083 .030 .030 .026 .000 .081 .054 .014 .050 .019 .000 .003 .000 .030 r_peak,r_snr = .1172701 9.98435 Correlation Surface of oversamples image at 2046 3046 .319 .284 .201 .077 .003 .018 .036 .011 .001 .240 .223 .114 .005 .056 .168 .133 .039 .008 .098 .083 .007 .069 .343 .459 .270 .081 .022 .005 .000 .053 .368 .764 .701 .324 .078 .016 .029 .061 .259 .721 1.000 .683 .219 .024 .001 .144 .207 .467 .881 .941 .471 .076 .000 .003 .233 .272 .489 .789 .709 .255 .010 .010 .002 .162 .162 .316 .533 .453 .133 .001 .005 .005 .028 .023 .111 .271 .261 .087 .004 .001 .030 2046 7.906 3046 -5.781 9.98435 .021917 .051230 .019300 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .003 .038 .047 .035 .435 .572 .088 .001 .027 .023 .057 .051 .050 .425 .410 .092 .003 .025 .063 .029 .004 .236 .597 .396 .139 .032 .001 .013 .000 .098 .510 .921 .612 .189 .022 .000 .000 .013 .154 .501 1.000 .708 .179 .002 .008 .002 .013 .052 .271 .746 .609 .172 .005 .011 .002 .002 .002 .110 .478 .467 .192 .032 .001 .000 .001 .000 .088 .473 .494 .259 .086 .019 .021 .015 .000 .118 .606 .539 .244 .051 .001 r_peak,r_snr = .1528024 10.61316 Correlation Surface of oversamples image at 146 3446 .003 .010 .143 .425 .620 .620 .520 .381 .222 .008 .064 .255 .542 .706 .673 .546 .389 .223 .061 .169 .395 .677 .833 .792 .635 .432 .231 .133 .265 .489 .769 .952 .923 .735 .476 .235 .176 .297 .493 .777 1.000 .993 .780 .485 .225 .171 .259 .418 .695 .946 .957 .742 .451 .200 .123 .182 .307 .557 .811 .846 .658 .397 .171 .063 .103 .199 .405 .638 .706 .570 .347 .150 .024 .048 .116 .276 .482 .580 .496 .310 .138 146 .250 3446 -7.406 10.61317 .027178 .144255 -.020429 Correlation Surface at 246 3446 .054 .002 .178 .022 .141 .194 .014 .021 .007 .008 .015 .077 .002 .213 .288 .044 .015 .062 .000 .000 .000 .010 .205 .308 .000 .360 .245 .000 .000 .009 .000 .432 .599 .009 .618 .201 .045 .019 .090 .036 1.000 .988 .001 .507 .454 .266 .228 .243 .067 .665 .608 .022 .225 .499 .330 .585 .284 .053 .234 .280 .047 .000 .000 .070 .326 .090 .121 .259 .342 .019 .029 .119 .003 .078 .009 .046 .110 .209 .008 .030 .008 r_peak,r_snr = 8.04170E-02 9.19131 Correlation Surface of oversamples image at 246 3446 .009 .000 .017 .040 .042 .014 .009 .168 .470 .030 .004 .013 .070 .093 .036 .008 .228 .651 .057 .009 .035 .207 .297 .154 .001 .185 .648 .074 .005 .099 .468 .674 .418 .050 .090 .496 .087 .001 .175 .700 1.000 .686 .153 .020 .295 .107 .000 .192 .684 .979 .719 .212 .000 .144 .134 .001 .126 .427 .627 .500 .180 .003 .059 .130 .001 .055 .181 .289 .268 .120 .008 .014 .077 .000 .026 .076 .142 .156 .081 .011 .000 246 -.500 3446 -2.781 9.19131 .031550 .069252 .007596 Correlation Surface at 346 3446 .033 .024 .068 .049 .082 .077 .076 .002 .090 .175 .052 .072 .097 .142 .108 .015 .023 .097 .131 .037 .020 .147 .311 .216 .068 .001 .005 .008 .001 .002 .361 .719 .444 .185 .093 .079 .004 .000 .073 .740 1.000 .613 .208 .056 .088 .048 .054 .241 .443 .387 .289 .185 .008 .007 .067 .098 .132 .085 .041 .036 .067 .001 .003 .012 .005 .017 .034 .012 .003 .002 .003 .010 .002 .039 .000 .001 .001 .009 .019 .087 .164 r_peak,r_snr = .1262525 14.73695 Correlation Surface of oversamples image at 346 3446 .027 .029 .078 .216 .444 .639 .647 .471 .219 .009 .013 .069 .253 .548 .765 .752 .562 .288 .001 .009 .093 .348 .692 .881 .806 .571 .280 .000 .022 .179 .524 .878 .991 .814 .506 .218 .010 .087 .349 .725 1.000 .995 .719 .381 .149 .069 .238 .533 .785 .885 .770 .485 .233 .105 .184 .397 .588 .623 .557 .402 .214 .103 .078 .290 .457 .491 .392 .271 .147 .057 .032 .058 .290 .375 .338 .237 .137 .053 .011 .007 .033 346 .781 3446 -3.094 14.73696 .057087 .028191 .008077 Correlation Surface at 446 3446 .030 .028 .055 .066 .383 .602 .038 .037 .000 .005 .008 .048 .098 .259 .515 .140 .005 .015 .009 .011 .041 .152 .312 .356 .229 .059 .020 .001 .000 .009 .202 .681 .383 .147 .051 .016 .002 .000 .018 .286 1.000 .474 .053 .007 .002 .004 .002 .079 .287 .690 .349 .049 .008 .001 .011 .006 .037 .252 .409 .242 .169 .080 .012 .001 .009 .014 .245 .333 .253 .265 .164 .046 .018 .015 .126 .264 .292 .279 .160 .166 .050 r_peak,r_snr = .1273247 11.43817 Correlation Surface of oversamples image at 446 3446 .000 .019 .064 .158 .334 .482 .468 .337 .199 .001 .033 .109 .238 .404 .470 .392 .283 .205 .001 .038 .158 .363 .556 .547 .381 .246 .182 .000 .039 .210 .533 .807 .728 .442 .236 .150 .000 .039 .235 .644 1.000 .886 .497 .222 .112 .001 .038 .211 .593 .947 .850 .463 .185 .078 .004 .037 .160 .434 .695 .629 .339 .131 .054 .004 .031 .114 .287 .438 .380 .200 .084 .047 .000 .023 .098 .218 .286 .220 .116 .069 .064 446 .125 3446 -.344 11.43817 .013969 .058675 .002966 Correlation Surface at 546 3446 .058 .042 .066 .233 .346 .302 .183 .064 .097 .068 .101 .103 .254 .461 .498 .226 .046 .044 .082 .102 .118 .245 .526 .573 .343 .048 .023 .076 .118 .208 .389 .761 .645 .339 .033 .049 .029 .062 .196 .486 1.000 .740 .238 .022 .112 .008 .013 .097 .382 .749 .503 .170 .058 .151 .046 .060 .148 .341 .530 .310 .146 .110 .196 .155 .195 .272 .345 .536 .353 .170 .135 .250 .111 .173 .273 .400 .607 .389 .184 .109 .176 r_peak,r_snr = .1805865 7.27617 Correlation Surface of oversamples image at 546 3446 .837 1.216 1.743 2.405 3.048 3.340 2.888 1.863 .951 1.094 1.492 1.985 2.593 3.251 3.585 3.104 2.019 1.043 1.351 1.843 2.339 2.849 3.404 3.640 3.085 2.037 1.111 1.660 2.324 2.868 3.263 3.627 3.619 2.922 1.952 1.154 546 -.344 3446 -1.188 7.27617 .018053 .045317 .003365 Correlation Surface at 646 3446 .114 .090 .230 .453 .758 .642 .474 .126 .003 .113 .157 .263 .447 .723 .620 .486 .192 .012 .100 .149 .186 .380 .787 .757 .439 .205 .021 .051 .083 .122 .392 .914 .858 .487 .262 .062 .071 .122 .160 .533 1.000 .774 .469 .241 .076 .144 .150 .165 .490 .908 .616 .323 .138 .068 .076 .058 .105 .354 .794 .587 .306 .115 .095 .005 .020 .077 .300 .732 .642 .363 .103 .076 .000 .017 .086 .288 .699 .662 .341 .063 .018 r_peak,r_snr = .2235937 6.41779 Correlation Surface of oversamples image at 646 3446 .077 .146 .301 .532 .738 .816 .739 .588 .438 .070 .146 .320 .579 .800 .869 .775 .607 .447 .079 .174 .390 .686 .899 .919 .786 .612 .466 .098 .212 .469 .794 .981 .932 .752 .577 .456 .112 .234 .503 .835 1.000 .908 .695 .516 .409 .115 .228 .476 .791 .962 .874 .653 .465 .355 .108 .206 .412 .697 .888 .842 .637 .446 .322 .098 .184 .356 .611 .815 .819 .648 .459 .318 .088 .167 .318 .551 .762 .807 .675 .492 .331 646 .063 3446 6.375 6.41779 .020183 .234371 .038563 Correlation Surface at 746 3446 .004 .000 .005 .004 .141 .236 .073 .004 .017 .002 .004 .022 .009 .137 .099 .006 .054 .070 .000 .026 .024 .047 .288 .169 .004 .069 .046 .008 .046 .054 .049 .784 .580 .051 .013 .001 .000 .038 .131 .022 1.000 .614 .027 .002 .007 .032 .020 .097 .030 .520 .205 .001 .007 .019 .074 .006 .011 .109 .424 .172 .001 .005 .046 .054 .001 .000 .139 .441 .170 .001 .017 .002 .029 .006 .000 .023 .151 .035 .025 .069 .051 r_peak,r_snr = .1586209 24.20013 Correlation Surface of oversamples image at 746 3446 .008 .013 .062 .080 .045 .010 .000 .002 .016 .004 .030 .118 .170 .134 .066 .022 .001 .014 .009 .031 .192 .365 .369 .240 .107 .018 .005 .036 .018 .278 .664 .739 .493 .211 .040 .001 .091 .005 .323 .895 1.000 .607 .208 .028 .001 .150 .000 .264 .814 .875 .435 .086 .001 .012 .161 .004 .153 .517 .514 .180 .004 .026 .048 .109 .003 .085 .284 .256 .056 .007 .077 .089 .045 .001 .082 .215 .186 .041 .006 .071 .088 746 .313 3446 -.375 24.20014 .005617 .029427 .002299 Correlation Surface at 846 3446 .018 .004 .016 .117 .458 .113 .022 .012 .001 .001 .005 .003 .154 .467 .047 .139 .045 .001 .002 .003 .008 .152 .597 .115 .073 .005 .002 .000 .067 .215 .061 .910 .241 .025 .001 .018 .079 .063 .322 .060 1.000 .224 .038 .054 .080 .291 .006 .122 .098 .697 .188 .007 .050 .007 .247 .000 .057 .055 .434 .181 .006 .005 .067 .182 .000 .065 .001 .197 .151 .052 .076 .108 .063 .000 .055 .016 .038 .095 .060 .035 .033 r_peak,r_snr = .1174684 17.0787 Correlation Surface of oversamples image at 846 3446 .067 .003 .099 .455 .718 .584 .206 .003 .059 .104 .006 .101 .473 .760 .640 .236 .007 .040 .230 .028 .080 .487 .850 .742 .281 .016 .017 .444 .085 .052 .504 .956 .832 .308 .023 .005 .623 .142 .038 .519 1.000 .831 .293 .025 .002 .638 .145 .039 .510 .923 .719 .250 .028 .000 .488 .095 .050 .456 .746 .555 .203 .032 .000 .278 .038 .061 .367 .554 .416 .169 .038 .002 .126 .009 .061 .277 .416 .334 .150 .044 .006 846 .156 3446 .344 17.07870 .007185 .173372 .004777 Correlation Surface at 946 3446 .002 .054 .014 .015 .081 .011 .116 .177 .055 .013 .137 .044 .000 .057 .020 .047 .114 .069 .096 .178 .020 .010 .110 .019 .002 .049 .022 .113 .113 .027 .051 .431 .077 .011 .007 .011 .045 .049 .055 .110 1.000 .215 .039 .000 .053 .003 .038 .073 .112 .908 .184 .050 .012 .042 .013 .017 .021 .173 .702 .144 .016 .014 .004 .008 .006 .000 .232 .609 .157 .000 .009 .000 .001 .013 .002 .115 .486 .213 .002 .020 .003 r_peak,r_snr = .1304103 19.28773 Correlation Surface of oversamples image at 946 3446 .010 .000 .022 .104 .167 .092 .004 .022 .041 .010 .000 .039 .192 .328 .208 .019 .026 .077 .013 .000 .065 .335 .581 .405 .068 .014 .092 .019 .000 .105 .512 .848 .607 .140 .002 .089 .030 .000 .144 .646 1.000 .720 .205 .001 .068 .043 .000 .166 .675 .982 .707 .232 .007 .040 .042 .000 .175 .636 .876 .630 .233 .020 .015 .025 .004 .181 .582 .775 .565 .236 .038 .001 .011 .008 .173 .525 .696 .519 .236 .052 .000 946 .031 3446 .688 19.28773 .006443 .043943 -.000484 Correlation Surface at 1046 3446 .127 .193 .043 .036 .241 .046 .000 .011 .008 .148 .153 .008 .069 .232 .037 .007 .001 .001 .062 .044 .003 .101 .258 .115 .042 .012 .019 .000 .013 .002 .180 .660 .399 .057 .003 .014 .030 .007 .000 .190 1.000 .588 .106 .014 .008 .046 .005 .001 .099 .652 .417 .234 .131 .052 .071 .009 .015 .016 .232 .174 .204 .196 .073 .036 .001 .006 .000 .092 .137 .072 .040 .015 .008 .003 .005 .001 .092 .157 .005 .000 .028 r_peak,r_snr = .1330478 17.11517 Correlation Surface of oversamples image at 1046 3446 .024 .056 .109 .219 .307 .250 .144 .085 .061 .031 .065 .145 .309 .445 .400 .252 .135 .071 .020 .067 .205 .470 .680 .606 .346 .147 .056 .007 .064 .268 .644 .916 .765 .381 .131 .039 .001 .057 .292 .724 1.000 .774 .348 .115 .041 .000 .047 .267 .668 .885 .638 .283 .121 .080 .000 .033 .196 .491 .620 .426 .207 .140 .162 .000 .012 .100 .269 .342 .238 .140 .151 .251 .003 .000 .025 .102 .159 .133 .106 .156 .295 1046 .031 3446 -.063 17.11517 .012276 .044527 -.002407 Correlation Surface at 1146 3446 .000 .005 .006 .008 .002 .007 .068 .097 .019 .021 .026 .008 .041 .096 .024 .001 .001 .016 .001 .000 .005 .049 .326 .128 .010 .000 .018 .110 .029 .042 .036 .619 .266 .000 .015 .009 .100 .016 .028 .063 1.000 .288 .008 .003 .002 .010 .000 .013 .053 .746 .104 .113 .074 .006 .010 .008 .014 .020 .258 .001 .325 .111 .002 .043 .037 .034 .015 .248 .000 .129 .020 .001 .056 .018 .037 .018 .511 .142 .003 .006 .007 r_peak,r_snr = .1058942 18.92302 Correlation Surface of oversamples image at 1146 3446 .102 .032 .012 .214 .510 .480 .172 .003 .035 .145 .081 .000 .189 .570 .553 .181 .002 .024 .124 .090 .000 .260 .760 .681 .190 .001 .019 .080 .062 .009 .404 .975 .771 .179 .000 .034 .040 .024 .039 .504 1.000 .702 .122 .013 .103 .013 .004 .060 .433 .763 .487 .046 .075 .274 .006 .001 .033 .232 .424 .247 .001 .215 .535 .012 .008 .002 .088 .215 .112 .009 .333 .665 .042 .048 .007 .043 .176 .099 .007 .252 .448 1146 .094 3446 -.750 18.92303 .009627 .084468 .005107 Correlation Surface at 1246 3446 .054 .071 .021 .000 .151 .130 .009 .100 .007 .033 .007 .003 .033 .332 .184 .002 .013 .012 .022 .001 .016 .076 .615 .255 .033 .016 .007 .017 .009 .010 .108 .820 .224 .099 .111 .001 .011 .020 .055 .305 1.000 .367 .008 .096 .008 .009 .002 .061 .326 .862 .471 .018 .041 .014 .006 .012 .002 .134 .419 .224 .001 .076 .008 .015 .032 .004 .135 .158 .035 .043 .161 .004 .053 .010 .110 .278 .139 .004 .107 .216 .039 r_peak,r_snr = .1609864 17.0202 Correlation Surface of oversamples image at 1246 3446 .000 .000 .039 .262 .526 .438 .111 .006 .122 .001 .000 .063 .374 .692 .546 .144 .002 .113 .000 .007 .133 .531 .864 .685 .238 .008 .042 .008 .046 .252 .689 .995 .816 .374 .070 .000 .022 .092 .331 .739 1.000 .856 .475 .160 .022 .016 .084 .294 .631 .846 .753 .471 .206 .052 .001 .035 .183 .435 .599 .555 .374 .182 .049 .011 .006 .096 .263 .369 .353 .246 .115 .020 .028 .002 .068 .171 .220 .207 .136 .046 .000 1246 .063 3446 1.250 17.02020 .007709 .136299 .001328 Correlation Surface at 1346 3446 .001 .050 .172 .688 .617 .094 .030 .083 .158 .035 .000 .555 .820 .556 .049 .018 .280 .237 .037 .003 .084 .135 .169 .012 .038 .175 .023 .031 .001 .016 .019 .372 .067 .003 .007 .073 .004 .026 .004 .168 1.000 .090 .152 .090 .030 .116 .108 .052 .460 .826 .029 .064 .001 .012 .073 .056 .173 .320 .265 .002 .004 .056 .037 .037 .075 .275 .287 .093 .006 .021 .079 .067 .006 .105 .457 .616 .182 .002 .026 .046 .105 r_peak,r_snr = 9.02672E-02 8.74247 Correlation Surface of oversamples image at 1346 3446 .183 .092 .161 .459 .927 1.697 2.580 2.486 1.158 .108 .086 .249 .759 1.366 1.968 2.408 2.001 .849 .148 .203 .518 1.322 2.064 2.386 2.271 1.445 .432 .378 .576 1.114 2.276 3.164 3.167 2.389 1.092 .210 1346 -1.344 3446 3.844 8.74247 .012932 .069556 .011032 Correlation Surface at 1446 3446 .079 .021 .291 .775 .636 .127 .073 .043 .019 .060 .015 .285 .971 .956 .236 .077 .038 .002 .067 .001 .132 .808 .860 .230 .004 .007 .014 .208 .035 .112 .681 .798 .314 .029 .014 .042 .455 .106 .193 .848 1.000 .510 .164 .006 .020 .319 .110 .306 .971 .768 .200 .053 .006 .000 .194 .230 .562 .776 .282 .024 .005 .000 .003 .174 .389 .708 .526 .173 .058 .009 .003 .000 .260 .509 .512 .366 .158 .053 .013 .001 .006 r_peak,r_snr = .1071095 7.6924 Correlation Surface of oversamples image at 1446 3446 .003 .087 .362 .614 .721 .694 .508 .301 .228 .002 .174 .510 .773 .873 .776 .496 .261 .199 .005 .223 .603 .889 .996 .860 .518 .236 .141 .004 .206 .579 .874 1.000 .886 .542 .214 .073 .002 .148 .468 .765 .922 .859 .557 .207 .033 .003 .100 .358 .662 .859 .849 .609 .251 .036 .011 .077 .288 .602 .840 .888 .717 .380 .109 .021 .067 .243 .556 .829 .931 .826 .545 .255 1446 2.531 3446 -10.750 7.69240 .089601 .204882 .058424 Correlation Surface at 1546 3446 .008 .002 .000 .123 .587 .295 .013 .055 .112 .029 .107 .068 .044 .602 .288 .016 .030 .032 .059 .123 .124 .015 .698 .470 .068 .000 .006 .046 .050 .069 .022 .941 .630 .070 .002 .009 .004 .021 .002 .036 1.000 .541 .021 .001 .000 .115 .072 .002 .043 .911 .469 .021 .001 .019 .053 .002 .011 .135 .866 .378 .028 .000 .006 .013 .001 .001 .179 .393 .155 .026 .002 .001 .019 .002 .002 .025 .061 .081 .081 .010 .000 r_peak,r_snr = .1250143 12.10165 Correlation Surface of oversamples image at 1546 3446 .089 .054 .014 .378 .857 .760 .374 .149 .051 .087 .080 .002 .327 .859 .804 .398 .160 .067 .044 .060 .003 .343 .929 .881 .410 .134 .043 .004 .019 .013 .381 .985 .908 .362 .067 .003 .010 .000 .036 .423 1.000 .866 .279 .016 .011 .040 .005 .064 .463 .992 .806 .230 .005 .029 .031 .007 .078 .481 .962 .772 .247 .015 .010 .004 .001 .082 .489 .925 .764 .306 .056 .001 .002 .000 .088 .484 .857 .727 .348 .104 .017 1546 .188 3446 .719 12.10166 .010358 1.147952 .047834 Correlation Surface at 1646 3446 .021 .015 .001 .002 .119 .237 .087 .019 .016 .005 .000 .026 .003 .199 .120 .004 .000 .011 .006 .040 .104 .003 .137 .014 .014 .005 .025 .016 .048 .082 .034 .310 .128 .000 .001 .010 .041 .015 .006 .184 1.000 .480 .004 .001 .005 .069 .016 .000 .192 .853 .232 .025 .077 .032 .062 .059 .014 .084 .364 .060 .020 .152 .065 .055 .062 .027 .077 .430 .178 .003 .092 .078 .017 .016 .011 .080 .437 .229 .022 .026 .045 r_peak,r_snr = .1481463 22.43972 Correlation Surface of oversamples image at 1646 3446 .035 .001 .035 .119 .150 .112 .056 .020 .007 .019 .002 .072 .201 .292 .283 .186 .083 .031 .005 .013 .130 .353 .576 .619 .424 .180 .052 .000 .030 .196 .528 .887 .941 .593 .200 .030 .000 .042 .232 .614 1.000 .979 .518 .109 .000 .000 .038 .213 .549 .840 .731 .300 .022 .024 .002 .021 .151 .396 .575 .442 .133 .000 .060 .013 .004 .086 .264 .389 .282 .072 .000 .050 .033 .000 .042 .194 .324 .249 .076 .002 .015 1646 .250 3446 1.375 22.43972 .008481 .020484 .001080 Correlation Surface at 1746 3446 .000 .000 .019 .208 .432 .349 .102 .039 .207 .007 .059 .000 .158 .516 .456 .038 .071 .068 .015 .049 .003 .255 .676 .385 .000 .087 .003 .003 .001 .050 .400 .904 .374 .003 .052 .004 .020 .026 .197 .666 1.000 .320 .000 .013 .042 .080 .023 .292 .626 .494 .133 .001 .005 .041 .071 .005 .115 .243 .171 .068 .000 .009 .003 .028 .002 .012 .154 .216 .082 .000 .002 .000 .024 .004 .011 .176 .291 .071 .010 .039 .013 r_peak,r_snr = .1358196 13.40091 Correlation Surface of oversamples image at 1746 3446 .002 .065 .229 .479 .703 .690 .411 .117 .002 .012 .085 .259 .520 .727 .661 .346 .070 .002 .037 .127 .328 .628 .833 .707 .340 .059 .004 .079 .192 .430 .772 .966 .773 .360 .065 .002 .132 .270 .524 .860 1.000 .755 .341 .068 .000 .186 .327 .548 .808 .866 .612 .265 .054 .000 .214 .323 .474 .636 .637 .426 .175 .032 .001 .193 .264 .358 .457 .446 .292 .116 .018 .002 .139 .196 .272 .354 .355 .238 .097 .014 .002 1746 -.031 3446 -1.125 13.40092 .020806 .056119 .013188 Correlation Surface at 1846 3446 .027 .044 .029 .015 .056 .004 .049 .001 .149 .003 .000 .004 .008 .032 .000 .011 .000 .038 .000 .000 .000 .080 .200 .006 .035 .064 .019 .000 .002 .016 .370 .770 .063 .081 .274 .147 .003 .008 .028 .476 1.000 .095 .070 .269 .054 .001 .038 .001 .261 .854 .055 .121 .105 .036 .010 .153 .044 .195 .980 .041 .171 .050 .030 .028 .400 .128 .208 .968 .087 .090 .028 .004 .050 .481 .191 .082 .719 .123 .045 .019 .006 r_peak,r_snr = .115767 12.61829 Correlation Surface of oversamples image at 1846 3446 .031 .004 .030 .191 .296 .156 .015 .010 .043 .023 .000 .091 .371 .523 .273 .027 .018 .089 .013 .010 .194 .618 .803 .422 .053 .014 .107 .007 .025 .274 .786 .981 .529 .087 .004 .081 .009 .024 .280 .801 1.000 .561 .115 .000 .043 .019 .014 .237 .725 .943 .561 .137 .003 .024 .031 .007 .193 .644 .895 .565 .148 .003 .027 .041 .004 .173 .608 .883 .578 .148 .001 .045 .049 .005 .183 .615 .884 .580 .141 .000 .055 1846 -.125 3446 -1.219 12.61830 .010936 .201621 -.004868 Correlation Surface at 1946 3446 .118 .028 .014 .074 .583 .019 .022 .175 .751 .075 .006 .011 .086 .421 .096 .002 .249 .669 .034 .098 .002 .012 .025 .002 .010 .089 .437 .004 .138 .051 .094 .225 .149 .007 .008 .105 .007 .031 .258 .446 1.000 .547 .016 .051 .010 .080 .003 .253 .602 .806 .384 .005 .310 .010 .026 .035 .166 .440 .552 .363 .080 .518 .003 .016 .173 .162 .183 .428 .159 .262 .441 .004 .021 .263 .093 .003 .112 .010 .339 .177 .181 r_peak,r_snr = 6.59351E-02 6.56808 Correlation Surface of oversamples image at 1946 3446 .001 .001 .029 .079 .091 .083 .069 .042 .014 .052 .042 .097 .173 .208 .200 .163 .106 .044 .165 .157 .249 .399 .498 .472 .352 .204 .081 .310 .321 .453 .692 .846 .759 .507 .261 .096 .451 .471 .624 .884 1.000 .823 .502 .243 .086 .515 .542 .698 .900 .915 .682 .395 .197 .067 .451 .506 .661 .800 .744 .526 .317 .168 .047 .318 .408 .561 .663 .602 .453 .307 .153 .022 .214 .325 .459 .537 .514 .448 .324 .128 .003 1946 -5.063 3446 2.063 6.56808 .083617 .075148 .014141 Correlation Surface at 2046 3446 .001 .008 .017 .052 .279 .312 .198 .001 .015 .057 .017 .001 .060 .313 .582 .315 .013 .032 .054 .042 .004 .112 .659 .950 .311 .002 .001 .039 .016 .001 .207 .989 .828 .298 .011 .002 .008 .000 .001 .269 1.000 .783 .332 .046 .020 .014 .002 .024 .188 .881 .621 .074 .000 .005 .029 .004 .045 .160 .679 .173 .023 .048 .004 .003 .007 .025 .186 .438 .013 .023 .004 .002 .001 .001 .001 .303 .393 .041 .034 .018 .003 r_peak,r_snr = .1146004 10.35653 Correlation Surface of oversamples image at 2046 3446 .004 .006 .080 .246 .499 .717 .730 .543 .277 .000 .015 .113 .344 .682 .918 .842 .554 .246 .001 .028 .171 .480 .838 .981 .792 .479 .207 .002 .046 .249 .623 .946 .958 .697 .419 .204 .003 .059 .304 .713 1.000 .934 .657 .424 .244 .000 .048 .286 .691 .976 .912 .661 .449 .259 .002 .022 .215 .590 .886 .862 .637 .400 .178 .011 .005 .147 .480 .758 .748 .522 .250 .054 .021 .000 .110 .399 .628 .591 .344 .094 .000 2046 .156 3446 -1.469 10.35654 .030549 1.738104 .080909 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .000 .016 .102 .414 .700 .262 .137 .069 .044 .001 .010 .056 .470 .778 .268 .089 .038 .037 .026 .003 .000 .235 .474 .164 .086 .060 .037 .025 .007 .004 .191 .587 .452 .220 .053 .035 .000 .004 .028 .387 1.000 .873 .251 .007 .000 .007 .040 .081 .383 .765 .567 .188 .011 .006 .005 .096 .103 .349 .562 .370 .198 .092 .016 .001 .125 .236 .521 .606 .394 .237 .161 .045 .010 .103 .350 .554 .577 .300 .094 .053 .004 r_peak,r_snr = .1376788 9.72571 Correlation Surface of oversamples image at 146 3846 .021 .163 .463 .697 .632 .395 .199 .099 .068 .004 .105 .392 .675 .678 .469 .255 .128 .072 .002 .079 .354 .703 .815 .658 .410 .216 .103 .008 .089 .358 .752 .973 .891 .620 .347 .155 .032 .121 .365 .739 1.000 .981 .739 .447 .211 .072 .153 .339 .617 .820 .825 .664 .454 .255 .098 .151 .274 .444 .556 .556 .479 .382 .264 .099 .131 .221 .337 .392 .378 .342 .308 .251 .096 .126 .218 .331 .368 .343 .316 .293 .255 146 .188 3846 1.875 9.72571 .031559 .046099 .004336 Correlation Surface at 346 3846 .207 .235 .274 .420 .262 .238 .494 .713 .438 .324 .328 .445 .661 .594 .501 .616 .644 .411 .520 .478 .589 .950 1.000 .733 .526 .386 .318 .481 .503 .631 .971 .988 .566 .297 .320 .300 .393 .378 .434 .658 .750 .412 .217 .331 .290 .541 .295 .260 .438 .467 .257 .203 .339 .343 .601 .246 .262 .331 .230 .142 .203 .386 .360 r_peak,r_snr = .1578391 2.93504 Correlation Surface of oversamples image at 346 3846 .471 .568 .586 .489 .347 .283 .324 .448 .622 .611 .710 .705 .594 .455 .401 .448 .570 .711 .711 .796 .806 .744 .646 .589 .599 .661 .726 .731 .805 .873 .908 .873 .787 .707 .675 .662 .671 .740 .870 .992 1.000 .866 .698 .595 .545 .562 .636 .802 .960 .973 .810 .607 .479 .423 .439 .530 .715 .876 .881 .713 .512 .384 .329 .319 .432 .629 .797 .798 .631 .439 .316 .262 .237 .362 .567 .741 .735 .559 .370 .253 .204 346 -1.219 3846 -12.344 2.93504 .145917 .079621 .031792 Correlation Surface at 446 3846 .021 .016 .017 .223 .325 .093 .029 .035 .001 .000 .055 .041 .150 .143 .049 .118 .053 .001 .013 .125 .080 .101 .060 .122 .347 .129 .006 .123 .178 .158 .345 .517 .625 .591 .223 .039 .320 .215 .233 .617 1.000 .584 .288 .289 .279 .327 .163 .148 .508 .652 .093 .000 .107 .264 .125 .152 .113 .354 .430 .042 .016 .010 .072 .125 .226 .129 .117 .232 .161 .036 .082 .078 .450 .410 .144 .036 .197 .458 .206 .131 .049 r_peak,r_snr = 9.91870E-02 8.62097 Correlation Surface of oversamples image at 446 3846 .015 .038 .080 .098 .083 .073 .094 .153 .210 .046 .086 .148 .186 .191 .204 .246 .307 .326 .095 .168 .293 .414 .477 .493 .500 .487 .414 .153 .256 .462 .702 .828 .783 .671 .543 .405 .189 .300 .550 .864 1.000 .851 .602 .390 .260 .179 .277 .516 .810 .896 .666 .353 .148 .070 .131 .204 .395 .618 .648 .397 .125 .011 .000 .085 .129 .263 .433 .444 .222 .029 .010 .046 .067 .083 .171 .307 .330 .154 .010 .023 .065 446 -.031 3846 -1.938 8.62097 .080187 .073674 .042986 Correlation Surface at 546 3846 .085 .099 .193 .417 .618 .271 .015 .005 .011 .062 .095 .186 .452 .781 .402 .046 .003 .014 .058 .111 .219 .474 .846 .468 .075 .000 .008 .050 .092 .217 .506 .924 .496 .081 .003 .005 .052 .074 .192 .529 1.000 .525 .076 .001 .010 .064 .078 .158 .473 .900 .498 .057 .001 .013 .054 .065 .148 .427 .781 .484 .041 .002 .009 .042 .076 .190 .414 .687 .381 .018 .003 .006 .054 .133 .225 .337 .508 .238 .011 .001 .002 r_peak,r_snr = .3407008 10.38024 Correlation Surface of oversamples image at 546 3846 .113 .196 .374 .627 .786 .687 .428 .196 .058 .109 .200 .390 .669 .860 .769 .485 .218 .061 .106 .211 .414 .710 .922 .835 .525 .225 .056 .095 .215 .437 .751 .972 .878 .543 .223 .050 .079 .211 .458 .790 1.000 .883 .533 .214 .046 .068 .206 .475 .813 .989 .841 .498 .200 .043 .062 .201 .479 .805 .943 .781 .457 .182 .039 .054 .187 .456 .758 .878 .725 .422 .161 .031 .044 .166 .411 .684 .803 .677 .389 .136 .020 546 .063 3846 -.344 10.38024 .003256 .066605 -.000870 Correlation Surface at 646 3846 .041 .042 .065 .247 .624 .667 .360 .134 .056 .040 .045 .079 .321 .797 .758 .345 .129 .065 .045 .048 .104 .431 .886 .747 .334 .142 .081 .054 .056 .128 .517 .992 .803 .347 .127 .088 .052 .063 .140 .543 1.000 .738 .280 .083 .084 .041 .053 .163 .575 .875 .539 .164 .041 .060 .036 .047 .205 .626 .774 .441 .118 .026 .038 .058 .068 .256 .642 .724 .431 .129 .032 .030 .092 .112 .304 .667 .795 .488 .173 .062 .029 r_peak,r_snr = .376245 7.1579 Correlation Surface of oversamples image at 646 3846 .090 .181 .358 .610 .827 .865 .706 .470 .276 .102 .213 .419 .688 .890 .893 .705 .465 .276 .111 .237 .467 .754 .950 .928 .721 .474 .281 .118 .252 .497 .798 .996 .963 .743 .486 .284 .125 .261 .506 .804 1.000 .964 .740 .479 .273 .132 .267 .502 .780 .958 .913 .692 .440 .243 .137 .273 .498 .750 .892 .826 .611 .377 .200 .143 .286 .504 .721 .817 .728 .521 .310 .158 .150 .304 .513 .691 .740 .634 .441 .255 .125 646 .188 3846 .250 7.15790 .006001 .099838 .014024 Correlation Surface at 746 3846 .008 .045 .036 .203 .421 .161 .011 .000 .000 .033 .009 .043 .264 .359 .139 .040 .014 .003 .050 .032 .000 .189 .521 .360 .106 .045 .023 .027 .058 .005 .109 .917 .722 .131 .060 .054 .015 .025 .000 .144 1.000 .552 .050 .099 .086 .001 .012 .000 .269 .839 .235 .016 .166 .092 .011 .000 .001 .217 .704 .235 .022 .156 .081 .006 .000 .008 .084 .477 .319 .020 .056 .028 .000 .011 .004 .046 .322 .371 .054 .012 .000 r_peak,r_snr = .1424438 15.01724 Correlation Surface of oversamples image at 746 3846 .105 .261 .402 .425 .366 .281 .189 .086 .023 .076 .224 .419 .534 .509 .383 .227 .092 .023 .049 .180 .449 .712 .741 .532 .277 .099 .024 .033 .152 .483 .873 .944 .644 .301 .102 .030 .028 .155 .520 .950 1.000 .633 .264 .093 .043 .034 .195 .572 .941 .911 .521 .195 .077 .059 .048 .262 .642 .913 .790 .406 .142 .067 .077 .065 .325 .710 .915 .729 .352 .120 .066 .095 .073 .347 .743 .938 .731 .345 .112 .062 .095 746 .313 3846 .469 15.01725 .022531 .444039 .077600 Correlation Surface at 846 3846 .030 .027 .008 .023 .002 .013 .101 .007 .040 .037 .000 .020 .039 .005 .000 .001 .033 .009 .020 .003 .024 .010 .112 .110 .072 .138 .071 .002 .037 .051 .002 .342 .224 .033 .133 .174 .004 .146 .056 .070 1.000 .420 .031 .105 .136 .000 .032 .021 .038 .955 .433 .131 .149 .095 .022 .026 .000 .002 .181 .162 .186 .213 .106 .011 .040 .002 .043 .000 .018 .073 .076 .039 .000 .000 .017 .091 .010 .027 .010 .000 .005 r_peak,r_snr = .1155057 19.38983 Correlation Surface of oversamples image at 846 3846 .019 .032 .004 .043 .188 .184 .058 .011 .022 .025 .030 .000 .088 .310 .295 .098 .016 .018 .030 .019 .005 .205 .555 .510 .181 .031 .019 .027 .007 .031 .369 .862 .775 .301 .069 .034 .017 .002 .053 .454 1.000 .893 .384 .121 .066 .008 .002 .040 .362 .812 .743 .357 .151 .102 .003 .003 .010 .170 .440 .429 .231 .129 .111 .000 .004 .000 .035 .139 .152 .089 .066 .079 .002 .006 .012 .000 .010 .016 .008 .010 .025 846 .188 3846 -.531 19.38983 .009483 .045890 -.000468 Correlation Surface at 946 3846 .071 .092 .094 .199 .480 .382 .299 .334 .399 .051 .093 .112 .270 .640 .491 .288 .280 .347 .083 .154 .132 .313 .835 .623 .321 .270 .319 .139 .204 .154 .382 .940 .690 .417 .382 .380 .192 .213 .182 .514 1.000 .687 .443 .438 .428 .242 .226 .194 .493 .834 .599 .406 .414 .456 .239 .274 .229 .383 .618 .587 .446 .411 .563 .242 .326 .277 .373 .614 .650 .507 .464 .577 .245 .333 .295 .380 .596 .577 .501 .506 .491 r_peak,r_snr = .2764774 3.08503 Correlation Surface of oversamples image at 946 3846 .023 .033 .133 .407 .699 .703 .461 .239 .136 .027 .038 .158 .493 .849 .837 .520 .250 .131 .031 .047 .192 .572 .946 .901 .546 .266 .154 .040 .069 .250 .653 .992 .903 .552 .295 .201 .055 .102 .321 .727 1.000 .870 .542 .320 .245 .065 .129 .372 .758 .968 .812 .510 .316 .253 .065 .135 .371 .716 .882 .734 .464 .289 .231 .065 .127 .329 .620 .769 .660 .436 .278 .219 .078 .125 .282 .519 .670 .620 .454 .313 .247 946 .125 3846 1.156 3.08503 .007530 .075624 .007148 Correlation Surface at 1046 3846 .313 .298 .058 .177 .617 .278 .008 .002 .014 .285 .258 .093 .256 .689 .414 .045 .000 .026 .192 .208 .100 .263 .709 .467 .040 .003 .005 .149 .168 .069 .252 .812 .376 .009 .000 .009 .111 .130 .071 .352 1.000 .336 .024 .026 .007 .095 .111 .065 .346 .837 .299 .076 .056 .000 .106 .116 .078 .267 .629 .210 .057 .072 .008 .097 .123 .134 .297 .589 .179 .023 .037 .000 .048 .108 .229 .432 .649 .194 .007 .004 .008 r_peak,r_snr = .1709201 11.00393 Correlation Surface of oversamples image at 1046 3846 .059 .030 .019 .258 .550 .579 .364 .143 .032 .046 .034 .010 .255 .626 .661 .363 .100 .007 .050 .046 .007 .303 .759 .714 .295 .041 .000 .059 .050 .016 .415 .914 .716 .208 .010 .002 .062 .039 .039 .538 1.000 .664 .153 .005 .000 .067 .028 .061 .568 .938 .584 .144 .016 .009 .081 .030 .053 .474 .773 .510 .165 .043 .034 .096 .040 .029 .339 .594 .435 .170 .058 .046 .098 .049 .012 .239 .456 .345 .130 .039 .034 1046 .031 3846 .031 11.00394 .007347 .099516 .005459 Correlation Surface at 1146 3846 .035 .036 .042 .026 .006 .006 .066 .000 .030 .063 .002 .017 .002 .012 .000 .003 .202 .136 .036 .016 .051 .004 .213 .162 .002 .119 .043 .000 .001 .000 .055 .911 .741 .215 .022 .016 .012 .023 .022 .212 1.000 .835 .433 .135 .107 .010 .000 .001 .109 .436 .489 .358 .149 .043 .044 .062 .052 .040 .213 .144 .292 .228 .009 .052 .052 .108 .029 .183 .027 .203 .227 .042 .003 .020 .135 .015 .107 .086 .211 .128 .073 r_peak,r_snr = 8.69739E-02 11.20835 Correlation Surface of oversamples image at 1146 3846 .006 .003 .091 .277 .325 .176 .034 .003 .067 .001 .010 .142 .408 .503 .318 .092 .001 .041 .001 .022 .205 .561 .693 .471 .182 .025 .005 .005 .039 .292 .746 .888 .627 .308 .103 .015 .006 .054 .369 .877 1.000 .742 .448 .232 .100 .003 .056 .375 .830 .921 .735 .526 .348 .207 .000 .042 .290 .606 .683 .606 .509 .405 .291 .002 .023 .170 .355 .436 .448 .441 .429 .365 .004 .012 .093 .205 .282 .323 .365 .441 .435 1146 .344 3846 -.438 11.20835 .044904 .108353 .016946 Correlation Surface at 1246 3846 .001 .097 .023 .033 .270 .060 .019 .009 .142 .003 .128 .086 .043 .526 .210 .035 .038 .007 .002 .002 .000 .163 .788 .449 .065 .052 .026 .003 .007 .004 .100 .882 .693 .016 .001 .006 .102 .036 .029 .070 1.000 .486 .004 .000 .045 .099 .001 .003 .250 .850 .216 .001 .125 .311 .036 .174 .144 .362 .371 .093 .022 .257 .339 .089 .076 .099 .274 .096 .002 .001 .132 .109 .033 .025 .030 .228 .018 .096 .048 .110 .162 r_peak,r_snr = 8.98031E-02 12.02832 Correlation Surface of oversamples image at 1246 3846 .002 .109 .222 .192 .086 .021 .005 .002 .000 .001 .122 .316 .400 .307 .147 .058 .034 .028 .011 .169 .448 .667 .618 .352 .154 .089 .081 .032 .202 .534 .878 .902 .560 .238 .103 .072 .022 .146 .454 .864 1.000 .659 .238 .051 .011 .000 .052 .284 .688 .909 .607 .169 .005 .010 .016 .009 .168 .513 .720 .458 .094 .001 .047 .027 .004 .132 .395 .511 .294 .054 .001 .026 .006 .016 .147 .325 .349 .183 .053 .011 .002 1246 .375 3846 .406 12.02833 .036300 .921549 .135993 Correlation Surface at 1346 3846 .076 .002 .060 .098 .155 .095 .020 .014 .000 .044 .040 .223 .187 .179 .115 .002 .030 .048 .019 .070 .382 .386 .430 .247 .002 .127 .065 .012 .072 .405 .704 .880 .354 .001 .027 .015 .023 .056 .404 .944 1.000 .370 .028 .001 .000 .036 .005 .192 .769 .811 .316 .030 .000 .005 .054 .001 .124 .725 .696 .220 .037 .001 .010 .104 .001 .153 .853 .685 .242 .085 .020 .029 .161 .010 .082 .694 .642 .265 .068 .062 .098 r_peak,r_snr = .1444083 7.40611 Correlation Surface of oversamples image at 1346 3846 .274 .384 .399 .347 .296 .297 .313 .234 .079 .351 .497 .553 .518 .473 .469 .447 .297 .081 .390 .572 .704 .744 .729 .686 .570 .334 .084 .398 .611 .816 .938 .948 .833 .616 .341 .098 .376 .597 .828 .987 1.000 .836 .587 .334 .122 .316 .510 .719 .878 .905 .757 .544 .337 .151 .219 .363 .541 .720 .799 .708 .537 .350 .167 .120 .220 .394 .625 .774 .726 .556 .347 .157 .057 .142 .339 .641 .845 .786 .564 .324 .139 1346 .281 3846 -3.625 7.40611 .031679 .184502 .010451 Correlation Surface at 1446 3846 .240 .031 .043 .005 .115 .071 .001 .007 .009 .341 .074 .007 .000 .092 .005 .046 .057 .034 .428 .121 .001 .029 .193 .010 .022 .026 .035 .238 .016 .007 .237 .666 .053 .001 .001 .017 .070 .000 .000 .521 1.000 .073 .000 .005 .015 .031 .000 .001 .451 .749 .039 .012 .002 .119 .015 .004 .001 .312 .424 .009 .050 .007 .048 .004 .007 .001 .230 .307 .011 .023 .024 .001 .007 .029 .001 .153 .198 .009 .002 .000 .002 r_peak,r_snr = .1382639 14.6526 Correlation Surface of oversamples image at 1446 3846 .013 .010 .005 .073 .129 .080 .008 .007 .020 .030 .005 .043 .245 .357 .208 .034 .001 .006 .056 .001 .132 .529 .679 .370 .070 .001 .000 .065 .001 .242 .796 .944 .494 .103 .007 .002 .053 .006 .303 .889 1.000 .513 .113 .011 .005 .039 .009 .294 .790 .839 .422 .093 .007 .002 .032 .010 .251 .599 .579 .273 .052 .000 .001 .023 .019 .231 .446 .371 .154 .020 .003 .015 .009 .042 .238 .358 .256 .095 .007 .009 .023 1446 -.188 3846 -.094 14.65260 .007933 .057354 .003934 Correlation Surface at 1546 3846 .106 .173 .044 .008 .125 .071 .020 .011 .018 .087 .175 .020 .051 .145 .104 .146 .002 .134 .016 .001 .034 .098 .301 .232 .091 .077 .252 .023 .207 .100 .185 .761 .292 .006 .135 .312 .004 .002 .018 .503 1.000 .190 .000 .024 .153 .240 .369 .254 .569 .434 .039 .001 .001 .035 .223 .201 .117 .248 .083 .006 .003 .075 .089 .165 .025 .010 .051 .006 .000 .072 .177 .093 .165 .016 .004 .053 .021 .012 .133 .100 .081 r_peak,r_snr = 7.59665E-02 5.50665 Correlation Surface of oversamples image at 1546 3846 .094 .192 .341 .353 .227 .141 .156 .249 .266 .010 .090 .256 .332 .283 .238 .251 .281 .205 .008 .029 .200 .378 .455 .449 .391 .302 .160 .026 .020 .219 .524 .746 .731 .525 .313 .150 .005 .054 .323 .726 1.000 .891 .536 .268 .137 .019 .152 .468 .846 .998 .749 .358 .151 .094 .116 .277 .567 .788 .718 .396 .126 .042 .041 .183 .323 .533 .574 .365 .113 .011 .001 .009 .143 .262 .403 .348 .142 .013 .003 .003 .000 1546 -9.938 3846 3.719 5.50665 .039672 .112320 .031421 Correlation Surface at 1646 3846 .043 .019 .019 .021 .055 .135 .040 .061 .094 .032 .011 .003 .068 .159 .164 .029 .023 .119 .014 .031 .003 .228 .345 .175 .010 .031 .235 .011 .004 .007 .350 .636 .274 .027 .058 .210 .001 .002 .051 .374 1.000 .552 .120 .066 .153 r_peak,r_snr = .1132508 8.50882 Correlation Surface of oversamples image at 1646 3846 .107 .015 .043 .210 .296 .262 .178 .058 .000 .050 .001 .173 .502 .622 .510 .316 .109 .004 .003 .044 .342 .742 .866 .707 .420 .137 .009 .014 .120 .438 .813 .971 .844 .501 .164 .020 .061 .177 .437 .769 1.000 .932 .554 .198 .051 .107 .199 .374 .657 .931 .891 .524 .215 .100 .133 .185 .277 .493 .725 .669 .386 .192 .136 .126 .138 .175 .311 .448 .383 .216 .132 .118 .093 .086 .100 .171 .234 .186 .105 .075 .069 1646 -2.313 3846 13.594 8.50882 .025123 .056245 -.008904 Correlation Surface at 1746 3846 .022 .156 .058 .157 .113 .094 .049 .084 .028 .014 .015 .071 .014 .007 .001 .000 .011 .002 .000 .005 .018 .000 .001 .137 .020 .081 .001 .003 .001 .002 .098 .372 .740 .037 .391 .005 .004 .019 .000 .435 1.000 .327 .059 .481 .009 .103 .001 .026 .752 .679 .008 .324 .115 .095 .493 .134 .178 .639 .169 .175 .201 .001 .084 .400 .104 .031 .231 .084 .114 .106 .028 .002 r_peak,r_snr = 8.01383E-02 8.50756 Correlation Surface of oversamples image at 1746 3846 .041 .020 .001 .043 .113 .223 .370 .376 .153 .080 .035 .005 .121 .321 .555 .655 .438 .103 .113 .038 .022 .259 .608 .856 .710 .270 .010 .108 .024 .067 .456 .890 .970 .530 .072 .026 .042 .001 .162 .655 1.000 .796 .237 .001 .159 .000 .025 .291 .752 .874 .473 .041 .087 .319 .061 .097 .334 .659 .644 .245 .000 .207 .403 .124 .100 .215 .419 .426 .138 .009 .258 .406 .069 .022 .055 .190 .264 .087 .018 .254 .356 1746 5.719 3846 11.750 8.50756 .097118 .151541 .101031 Correlation Surface at 1846 3846 .033 .057 .000 .038 .161 .072 .001 .023 .070 .021 .050 .000 .030 .190 .035 .019 .023 .020 .018 .011 .009 .140 .433 .048 .008 .001 .000 .012 .000 .025 .410 .813 .144 .003 .000 .003 .019 .010 .024 .623 1.000 .254 .002 .023 .008 .043 .070 .015 .476 .780 .307 .000 .076 .016 .050 .069 .009 .311 .581 .279 .000 .077 .023 .022 .021 .022 .283 .431 .134 .002 .014 .002 .001 .001 .020 .213 .215 .038 .013 .000 .001 r_peak,r_snr = .1751673 23.12487 Correlation Surface of oversamples image at 1846 3846 .000 .030 .258 .576 .562 .269 .050 .001 .000 .002 .040 .282 .590 .633 .400 .132 .014 .000 .001 .055 .296 .618 .744 .579 .266 .052 .000 .001 .084 .340 .699 .887 .757 .405 .103 .001 .016 .137 .427 .814 1.000 .844 .462 .126 .002 .059 .212 .528 .890 .996 .764 .381 .095 .002 .103 .262 .555 .817 .800 .515 .205 .040 .002 .145 .289 .511 .638 .520 .252 .069 .013 .009 1846 -.031 3846 3.281 23.12487 .008876 .070136 -.003885 Correlation Surface at 2046 3846 .122 .316 .413 .413 .401 .107 .032 .024 .221 .010 .187 .494 .533 .385 .174 .065 .018 .083 .060 .057 .096 .261 .513 .571 .079 .018 .007 .005 .016 .012 .214 .922 .949 .072 .056 .019 .109 .021 .132 .487 1.000 .532 .038 .036 .009 .000 .044 .214 .504 .738 .230 .063 .007 .025 .192 .063 .090 .289 .466 .131 .036 .048 .041 .102 .000 .011 .173 .281 .051 .001 .006 .001 .013 .042 .035 .083 .249 .076 .008 .101 .005 r_peak,r_snr = 9.18873E-02 9.9274 Correlation Surface of oversamples image at 2046 3846 .537 .466 .393 .264 .136 .082 .054 .010 .009 .377 .370 .354 .304 .257 .242 .163 .029 .010 .203 .265 .331 .411 .513 .550 .335 .053 .012 .136 .237 .370 .584 .829 .859 .475 .070 .016 .177 .304 .476 .751 1.000 .941 .486 .070 .016 .304 .437 .604 .822 .927 .777 .385 .059 .008 .424 .526 .652 .750 .707 .525 .250 .045 .001 .431 .503 .604 .623 .503 .323 .143 .033 .002 .332 .405 .513 .519 .374 .200 .079 .024 .009 2046 .688 3846 -2.000 9.92740 .181001 .949460 .363946 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .945 .446 .090 .149 .143 .257 .162 .000 .066 .723 .217 .093 .254 .294 .491 .419 .064 .002 .592 .150 .117 .272 .290 .324 .168 .070 .082 .711 .201 .192 .464 .486 .368 .071 .027 .168 .818 .469 .347 .741 1.000 .607 .040 .010 .010 .577 .563 .447 .580 .701 .247 .001 .075 .018 .477 .494 .437 .228 .096 .014 .000 .000 .000 .648 .396 .203 .075 .002 .003 .007 .038 .027 r_peak,r_snr = .1022893 5.94563 Correlation Surface of oversamples image at 146 4246 .011 .006 .069 .128 .163 .227 .266 .163 .035 .003 .063 .202 .285 .285 .302 .295 .162 .028 .047 .185 .434 .586 .555 .489 .402 .205 .039 .105 .294 .643 .902 .870 .693 .485 .223 .039 .122 .305 .667 .997 1.000 .751 .453 .178 .024 .108 .230 .481 .755 .799 .589 .317 .103 .009 .091 .145 .241 .364 .416 .328 .176 .053 .006 .071 .084 .083 .094 .121 .122 .081 .033 .015 .037 .039 .017 .005 .009 .019 .023 .019 .028 146 3.750 4246 11.438 5.94563 .087455 .054648 .014682 Correlation Surface at 246 4246 .584 .787 .201 .018 .071 .134 .295 .323 .204 .634 .419 .094 .023 .017 .027 .052 .169 .340 .240 .003 .004 .117 .278 .130 .046 .031 .219 .030 .010 .015 .283 .543 .306 .024 .009 .056 .027 .006 .138 .532 1.000 .643 .107 .000 .068 .093 .144 .378 .272 .493 .711 .310 .006 .170 .003 .178 .359 .049 .000 .053 .040 .030 .021 .141 .015 .036 .000 .032 .056 .019 .099 .016 .267 .001 .022 .000 .018 .015 .012 .020 .001 r_peak,r_snr = 7.25144E-02 8.97363 Correlation Surface of oversamples image at 246 4246 .142 .170 .185 .185 .147 .102 .078 .032 .004 .166 .265 .324 .356 .318 .218 .109 .022 .012 .207 .393 .525 .584 .525 .337 .131 .015 .012 .267 .524 .753 .858 .788 .529 .229 .048 .000 .310 .538 .804 .987 1.000 .790 .458 .187 .044 .301 .376 .546 .766 .926 .901 .681 .391 .150 .259 .175 .200 .326 .513 .638 .599 .421 .198 .201 .054 .019 .035 .106 .202 .247 .214 .133 .125 .009 .009 .019 .004 .001 .011 .029 .053 246 10.344 4246 -4.906 8.97363 .110197 .079327 -.025137 Correlation Surface at 346 4246 .070 .065 .158 .232 .129 .029 .018 .019 .046 .156 .163 .453 .536 .252 .066 .081 .025 .000 .178 .199 .378 .584 .449 .168 .075 .004 .002 .020 .135 .195 .554 .793 .309 .032 .011 .040 .020 .067 .157 .704 1.000 .216 .000 .025 .030 .040 .012 .194 .620 .450 .025 .009 .001 .001 .043 .003 .229 .425 .089 .011 .004 .004 .000 .018 .019 .166 .287 .020 .088 .005 .008 .009 .001 .000 .146 .295 .014 .090 .017 .000 .026 r_peak,r_snr = .1095848 9.7384 Correlation Surface of oversamples image at 346 4246 .175 .286 .409 .463 .421 .326 .241 .193 .163 .200 .293 .444 .585 .609 .508 .371 .274 .213 .199 .277 .451 .672 .790 .723 .538 .359 .238 .170 .242 .432 .721 .943 .920 .671 .390 .197 .126 .192 .378 .701 1.000 .999 .667 .301 .087 .091 .152 .311 .607 .904 .882 .500 .138 .005 .082 .150 .279 .489 .679 .613 .280 .032 .012 .085 .178 .277 .366 .403 .308 .110 .002 .031 .080 .196 .261 .238 .171 .090 .021 .000 .016 346 .750 4246 .500 9.73840 .025080 .055925 .013168 Correlation Surface at 446 4246 .004 .047 .098 .094 .028 .001 .007 .189 .297 .104 .352 .391 .090 .006 .004 .041 .598 .245 .040 .173 .129 .005 .007 .009 .133 .372 .211 .006 .017 .011 .124 .481 .187 .127 .174 .357 .011 .000 .002 .267 1.000 .483 .167 .118 .236 .142 .004 .004 .067 .294 .367 .162 .092 .129 r_peak,r_snr = 8.29536E-02 10.70097 Correlation Surface of oversamples image at 446 4246 .116 .004 .013 .014 .004 .006 .023 .015 .010 .048 .006 .005 .026 .043 .016 .000 .003 .008 .022 .023 .101 .266 .320 .176 .040 .006 .010 .023 .065 .280 .640 .757 .492 .187 .050 .017 .043 .114 .384 .811 1.000 .753 .377 .137 .040 .083 .153 .349 .661 .872 .784 .498 .228 .078 .164 .212 .279 .416 .597 .666 .511 .259 .096 .320 .336 .281 .294 .432 .568 .461 .213 .068 .509 .521 .388 .330 .434 .549 .390 .126 .017 446 -4.031 4246 13.063 10.70097 .031426 .033169 -.004921 Correlation Surface at 546 4246 .035 .047 .097 .430 .850 .562 .149 .000 .020 .054 .063 .080 .406 .791 .544 .180 .002 .028 .048 .045 .066 .391 .851 .604 .162 .002 .022 .023 .019 .064 .412 .962 .652 .122 .001 .007 .011 .007 .054 .444 1.000 .546 .072 .000 .010 .021 .013 .057 .426 .835 .379 .026 .010 .014 .062 .039 .061 .316 .637 .348 .022 .015 .003 .103 .062 .058 .246 .566 .435 .047 .016 .002 .117 .048 .048 .258 .542 .419 .060 .011 .008 r_peak,r_snr = .2538599 9.36223 Correlation Surface of oversamples image at 546 4246 .156 .268 .449 .606 .634 .566 .480 .384 .229 .168 .287 .484 .675 .723 .645 .534 .414 .244 .191 .323 .540 .767 .849 .773 .625 .446 .235 .206 .349 .579 .832 .956 .901 .715 .458 .204 .203 .350 .578 .841 1.000 .972 .753 .436 .165 .182 .330 .551 .813 .985 .955 .708 .378 .128 .159 .311 .532 .784 .930 .860 .594 .294 .092 .147 .304 .525 .749 .839 .717 .455 .208 .058 .144 .294 .499 .677 .712 .569 .338 .142 .033 546 .188 4246 .188 9.36223 .006508 .118189 .011568 Correlation Surface at 646 4246 .467 .619 .689 .805 .852 .889 .755 .604 .475 .394 .532 .651 .808 .831 .755 .662 .635 .546 .340 .475 .613 .760 .797 .694 .632 .614 .534 .363 .499 .627 .774 .903 .866 .755 .615 .482 .435 .551 .673 .827 1.000 .946 .769 .582 .457 .463 .553 .704 .852 .913 .818 .634 .530 .467 .432 .539 .734 .829 .784 .752 .590 .516 .458 .428 .550 .688 .758 .814 .835 .651 .509 .396 .477 .553 .578 .682 .813 .829 .676 .464 .332 r_peak,r_snr = .3969216 2.80519 Correlation Surface of oversamples image at 646 4246 .324 .435 .559 .632 .620 .562 .478 .361 .248 .326 .457 .586 .669 .684 .643 .547 .395 .249 .361 .508 .644 .745 .794 .779 .674 .480 .288 .423 .582 .722 .840 .919 .920 .805 .580 .346 .490 .647 .786 .912 1.000 .998 .872 .633 .386 .523 .665 .800 .922 .995 .974 .842 .612 .387 .503 .627 .754 .859 .901 .860 .736 .540 .358 .443 .555 .666 .742 .751 .702 .604 .456 .317 .380 .485 .579 .622 .607 .561 .496 .393 .285 646 .719 4246 8.719 2.80519 .028714 .042376 .010061 Correlation Surface at 746 4246 .347 .149 .006 .346 .704 .312 .023 .006 .010 .270 .131 .001 .343 .819 .303 .004 .023 .028 .192 .136 .001 .343 .726 .194 .000 .036 .062 .172 .144 .009 .414 .758 .262 .002 .053 .101 .144 .119 .014 .486 1.000 .451 .016 .049 .100 .164 .157 .002 .435 .914 .444 .022 .052 .095 .224 .237 .002 .261 .558 .331 .023 .053 .075 .260 .261 .021 .100 .336 .226 .009 .040 .057 .249 .313 .087 .033 .246 .162 .003 .044 .071 r_peak,r_snr = .2102459 10.27497 Correlation Surface of oversamples image at 746 4246 .001 .091 .376 .654 .675 .411 .131 .015 .000 .000 .126 .432 .703 .704 .434 .154 .024 .000 .003 .155 .478 .773 .806 .535 .214 .041 .000 .007 .175 .523 .862 .939 .661 .277 .054 .000 .008 .184 .553 .914 1.000 .708 .296 .055 .000 .004 .170 .533 .867 .922 .634 .260 .047 .000 .000 .131 .453 .732 .755 .506 .213 .043 .000 .003 .080 .332 .559 .585 .401 .182 .044 .000 .015 .031 .198 .381 .434 .318 .154 .039 .000 746 -.125 4246 2.469 10.27498 .007527 .069650 -.004683 Correlation Surface at 846 4246 .021 .003 .045 .339 .266 .054 .122 .228 .088 .029 .034 .034 .168 .124 .014 .025 .122 .199 .002 .004 .129 .227 .226 .035 .000 .020 .085 .035 .117 .195 .347 .579 .190 .012 .012 .067 .025 .107 .156 .384 1.000 .423 .069 .044 .211 .006 .019 .041 .330 .887 .297 .085 .085 .338 .002 .000 .001 .149 .431 .126 .024 .062 .386 .000 .000 .000 .154 .410 .175 .016 .052 .257 .005 .043 .113 .391 .644 .339 .093 .039 .066 r_peak,r_snr = .1220383 11.76438 Correlation Surface of oversamples image at 846 4246 .198 .252 .305 .398 .446 .331 .143 .050 .039 .280 .297 .364 .530 .658 .536 .267 .113 .076 .349 .338 .417 .650 .846 .709 .376 .169 .101 .394 .378 .480 .764 .986 .815 .433 .192 .102 .375 .387 .524 .821 1.000 .780 .393 .163 .078 .254 .310 .475 .733 .821 .579 .265 .100 .041 .106 .179 .338 .534 .555 .355 .150 .052 .017 .022 .077 .205 .355 .365 .234 .103 .036 .010 .002 .031 .129 .253 .284 .211 .109 .043 .014 846 .031 4246 .281 11.76438 .016924 .084214 -.004788 Correlation Surface at 946 4246 .014 .013 .008 .003 .179 .113 .010 .024 .023 .013 .055 .016 .003 .205 .077 .000 .013 .076 .059 .076 .020 .006 .422 .180 .000 .001 .074 .113 .030 .003 .058 .912 .384 .000 .000 .025 .041 .044 .025 .071 1.000 .394 .002 .000 .023 .016 .170 .117 .015 .501 .148 .007 .000 .034 .026 .247 .129 .001 .132 .011 .009 .001 .001 .010 .131 .045 .013 .075 .014 .000 .002 .002 .027 .064 .008 .039 .110 .069 .044 .037 .015 r_peak,r_snr = .1191815 18.40683 Correlation Surface of oversamples image at 946 4246 .008 .005 .006 .153 .428 .432 .198 .045 .009 .008 .005 .011 .228 .623 .648 .316 .076 .011 .010 .004 .024 .326 .827 .845 .406 .088 .008 .020 .005 .036 .406 .963 .942 .419 .074 .002 .044 .010 .041 .444 1.000 .920 .367 .049 .000 .077 .015 .044 .434 .913 .777 .275 .028 .000 .114 .020 .040 .364 .693 .526 .156 .008 .003 .142 .023 .029 .248 .414 .264 .051 .000 .011 .129 .018 .021 .145 .203 .095 .004 .013 .027 946 .219 4246 -.188 18.40684 .008783 .069540 .002309 Correlation Surface at 1046 4246 .080 .017 .016 .081 .483 .252 .056 .016 .003 .199 .190 .001 .180 .726 .328 .083 .005 .002 .361 .386 .029 .293 .478 .252 .186 .049 .003 .191 .144 .064 .395 .520 .475 .424 .159 .024 .021 .036 .009 .487 1.000 .577 .222 .044 .002 .230 .124 .011 .327 .670 .260 .059 .004 .023 .059 .003 .134 .178 .146 .068 .032 .015 .044 .000 .035 .334 .087 .018 .036 .059 .062 .036 .000 .069 .250 .022 .000 .034 .115 .105 .006 r_peak,r_snr = 9.88050E-02 8.27552 Correlation Surface of oversamples image at 1046 4246 .057 .210 .460 .564 .501 .402 .314 .248 .203 .108 .280 .506 .586 .538 .448 .344 .264 .209 .152 .351 .591 .716 .697 .561 .379 .252 .178 .163 .391 .686 .902 .911 .678 .392 .219 .133 .139 .373 .705 .989 1.000 .694 .360 .175 .093 .117 .318 .604 .857 .857 .578 .286 .127 .059 .123 .259 .425 .575 .575 .391 .186 .072 .028 .162 .212 .253 .304 .309 .215 .094 .029 .009 .212 .164 .123 .125 .140 .106 .043 .012 .007 1046 9.281 4246 -10.031 8.27552 .043172 .058046 .005600 Correlation Surface at 1146 4246 .284 .036 .003 .023 .016 .006 .001 .145 .240 .814 .093 .005 .077 .004 .004 .032 .005 .086 .784 .110 .039 .147 .180 .152 .011 .065 .241 .220 .140 .100 .300 .843 .446 .001 .177 .116 .025 .050 .107 .495 1.000 .255 .007 .056 .061 .000 .001 .035 .337 .431 .043 .000 .000 .110 .020 .055 .000 .121 .119 .014 .008 .023 .001 .000 .011 .000 .002 .002 .003 .025 .019 .000 .257 .237 .063 .005 .000 .001 .000 .060 .050 r_peak,r_snr = 8.38559E-02 8.88615 Correlation Surface of oversamples image at 1146 4246 .069 .095 .116 .130 .140 .156 .193 .212 .145 .131 .135 .171 .257 .360 .407 .359 .242 .095 .210 .183 .244 .441 .676 .716 .506 .225 .036 .287 .250 .351 .643 .937 .897 .536 .170 .005 .319 .316 .455 .762 1.000 .858 .449 .115 .000 .283 .344 .507 .753 .887 .690 .325 .082 .002 .214 .338 .512 .680 .725 .530 .250 .091 .028 .148 .298 .465 .574 .569 .408 .213 .124 .093 .097 .238 .379 .443 .416 .290 .168 .133 .119 1146 .125 4246 -.688 8.88615 .034736 .103702 .023237 Correlation Surface at 1246 4246 .196 .077 .005 .231 .528 .328 .035 .013 .075 .148 .072 .003 .296 .685 .354 .017 .032 .075 .116 .079 .001 .323 .707 .298 .001 .067 .085 .140 .104 .005 .258 .778 .332 .001 .059 .069 .114 .073 .001 .385 1.000 .323 .002 .095 .091 .031 .017 .011 .480 .846 .193 .034 .217 .125 .021 .021 .005 .351 .528 .111 .051 .210 .063 .070 .043 .002 .302 .400 .047 .080 .113 .024 .112 .055 .002 .172 .254 .014 .084 .042 .022 r_peak,r_snr = .1902368 11.38801 Correlation Surface of oversamples image at 1246 4246 .003 .118 .363 .603 .707 .605 .356 .130 .016 .000 .073 .287 .542 .697 .629 .377 .135 .015 .005 .044 .249 .547 .771 .720 .426 .144 .014 .007 .042 .271 .634 .904 .813 .446 .130 .007 .001 .064 .340 .751 1.000 .816 .392 .087 .000 .002 .103 .411 .814 .977 .712 .292 .041 .007 .009 .124 .414 .749 .827 .551 .195 .013 .026 .010 .109 .346 .597 .628 .394 .122 .002 .043 .006 .085 .280 .474 .478 .282 .074 .000 .054 1246 .000 4246 .156 11.38802 .006912 .072535 .008613 Correlation Surface at 1346 4246 .027 .008 .001 .082 .375 .326 .100 .015 .000 .006 .009 .001 .006 .214 .208 .048 .001 .004 .030 .036 .010 .011 .201 .130 .006 .001 .033 .005 .043 .085 .169 .545 .286 .044 .042 .113 .010 .012 .042 .341 1.000 .423 .150 .201 .116 .001 .012 .010 .347 .823 .328 .213 .261 .101 .045 .032 .020 .277 .582 .470 .354 .170 .020 .070 .018 .021 .293 .627 .617 .470 .144 .001 .025 .007 .055 .497 .503 .321 .313 .158 .001 r_peak,r_snr = .1339024 12.88119 Correlation Surface of oversamples image at 1346 4246 .000 .005 .040 .159 .280 .183 .026 .003 .027 .028 .094 .249 .566 .774 .467 .107 .002 .003 .062 .168 .376 .737 .889 .560 .189 .046 .035 .054 .162 .405 .775 .931 .628 .259 .113 .131 .004 .104 .411 .840 1.000 .659 .269 .128 .168 .000 .100 .388 .709 .774 .496 .220 .130 .179 .008 .122 .312 .469 .491 .370 .244 .194 .219 .015 .104 .213 .299 .360 .387 .371 .320 .286 .011 .073 .154 .232 .345 .480 .520 .444 .369 1346 -.094 4246 1.406 12.88120 .013023 .049999 .003154 Correlation Surface at 1446 4246 .109 .175 .045 .057 .166 .003 .075 .001 .185 .165 .186 .021 .104 .296 .021 .000 .082 .377 .271 .182 .000 .268 .608 .153 .048 .149 .111 .293 .093 .002 .427 .887 .241 .019 .024 .001 .252 .093 .002 .343 1.000 .334 .005 .036 .010 .218 .227 .087 .089 .830 .324 .020 .093 .025 .117 .249 .195 .028 .550 .233 .000 .000 .001 .045 .163 .059 .126 .415 .185 .039 .060 .029 .172 .098 .001 .393 .580 .306 .168 .071 .004 r_peak,r_snr = .1050426 10.63994 Correlation Surface of oversamples image at 1446 4246 .008 .102 .238 .344 .345 .220 .075 .010 .000 .022 .149 .332 .492 .517 .366 .162 .040 .005 .030 .164 .398 .639 .698 .505 .229 .053 .004 .033 .171 .465 .801 .882 .621 .260 .042 .000 .033 .171 .504 .903 1.000 .689 .258 .025 .006 .023 .141 .456 .859 .984 .676 .227 .010 .022 .004 .072 .311 .678 .850 .597 .186 .004 .033 .006 .011 .150 .460 .677 .506 .164 .006 .027 .039 .001 .061 .310 .540 .442 .169 .016 .009 1446 -.125 4246 -1.313 10.63995 .029417 .539949 -.080396 Correlation Surface at 1546 4246 .008 .008 .112 .200 .001 .092 .156 .116 .039 .017 .001 .024 .063 .027 .081 .032 .151 .330 .140 .010 .060 .023 .124 .049 .011 .043 .153 .358 .130 .129 .012 .484 .131 .004 .016 .008 .246 .120 .013 .327 1.000 .248 .008 .035 .020 .064 .065 .003 .326 .859 .193 .001 .040 .044 .014 .081 .077 .056 .517 .134 .001 .011 .000 .015 .097 .259 .000 .396 .146 .011 .000 .100 .014 .145 .397 .007 .301 .139 .028 .003 .084 r_peak,r_snr = .115322 15.56615 Correlation Surface of oversamples image at 1546 4246 .038 .081 .016 .024 .110 .078 .006 .016 .050 .100 .109 .006 .088 .273 .211 .038 .005 .045 .154 .089 .004 .254 .556 .427 .119 .002 .012 .144 .033 .066 .511 .848 .616 .213 .031 .001 .086 .001 .187 .731 1.000 .689 .269 .073 .025 .032 .009 .275 .788 .981 .661 .273 .090 .046 .014 .014 .232 .645 .824 .565 .224 .063 .031 .026 .000 .108 .421 .631 .462 .163 .026 .007 .074 .020 .022 .252 .502 .415 .142 .014 .001 1546 -.063 4246 .219 15.56616 .013456 .063902 .008717 Correlation Surface at 1646 4246 .047 .112 .132 .038 .112 .204 .269 .124 .002 .004 .128 .062 .000 .074 .091 .157 .000 .111 .051 .125 .037 .014 .163 .246 .324 .005 .097 .143 .303 .157 .177 .734 .964 .465 .000 .063 .150 .498 .238 .382 1.000 .911 .128 .027 .143 .034 .242 .312 .506 .493 .368 .007 .031 .092 .013 .024 .290 .342 .196 .074 .005 .003 .002 .083 .037 .032 .107 .148 .000 .120 .037 .046 .120 .160 .009 .033 .112 .003 .085 .147 .204 r_peak,r_snr = 8.72151E-02 12.81267 Correlation Surface of oversamples image at 1646 4246 .001 .002 .015 .039 .100 .215 .262 .117 .000 .003 .016 .054 .118 .241 .413 .443 .210 .008 .034 .080 .194 .351 .546 .714 .646 .307 .033 .102 .221 .460 .707 .885 .913 .685 .292 .030 .191 .380 .695 .946 1.000 .825 .492 .161 .003 .274 .456 .714 .886 .830 .552 .244 .048 .007 .315 .394 .516 .617 .548 .302 .098 .010 .019 .278 .241 .268 .339 .312 .155 .047 .008 .007 .189 .110 .112 .164 .159 .077 .030 .015 .000 1646 1.875 4246 -11.500 12.81267 .129010 .122051 .079882 Correlation Surface at 1746 4246 .341 .197 .147 .150 .023 .000 .139 .124 .038 .088 .048 .130 .097 .090 .060 .013 .007 .016 .107 .071 .001 .007 .205 .213 .003 .029 .044 .114 .081 .001 .085 .524 .192 .002 .054 .001 .029 .008 .019 .604 1.000 .162 .027 .202 .001 .070 .018 .019 .566 .438 .044 .067 .181 .018 .136 .102 .022 .197 .005 .007 .003 .005 .006 .109 .061 .104 .110 .013 .007 .008 .023 .077 r_peak,r_snr = 8.22478E-02 11.99558 Correlation Surface of oversamples image at 1746 4246 .004 .001 .004 .087 .338 .560 .444 .188 .047 .001 .000 .012 .125 .359 .466 .285 .088 .018 .008 .014 .084 .299 .511 .432 .174 .036 .014 .053 .091 .287 .655 .799 .500 .155 .034 .042 .084 .175 .502 .958 1.000 .567 .178 .062 .118 .060 .193 .553 .903 .827 .450 .161 .095 .205 .019 .156 .420 .521 .363 .167 .068 .075 .199 .006 .138 .258 .168 .046 .007 .004 .026 .109 .017 .181 .185 .037 .002 .013 .003 .004 .037 1746 6.750 4246 11.125 11.99559 .034530 .056877 .018637 Correlation Surface at 1846 4246 .046 .094 .218 .014 .180 .153 .055 .030 .001 .013 .061 .214 .035 .137 .136 .049 .011 .006 .003 .003 .066 .000 .306 .190 .007 .049 .024 .008 .007 .042 .124 .827 .492 .006 .237 .083 .000 .100 .120 .160 1.000 .635 .005 .262 .193 .000 .127 .107 .091 .759 .429 .000 .141 .171 .042 .035 .023 .126 .776 .383 .000 .047 .014 .137 .000 .005 .122 .756 .345 .007 .004 .003 .052 .010 .014 .055 .457 .190 .012 .005 .000 r_peak,r_snr = .1231935 16.90952 Correlation Surface of oversamples image at 1846 4246 .159 .082 .001 .081 .243 .247 .127 .047 .018 .068 .022 .012 .167 .336 .284 .121 .027 .000 .030 .001 .074 .341 .545 .439 .194 .039 .001 .033 .001 .161 .557 .818 .683 .338 .083 .000 .079 .000 .187 .665 1.000 .886 .474 .127 .000 .161 .008 .137 .611 .998 .930 .509 .137 .000 .212 .028 .078 .490 .889 .852 .466 .121 .000 .186 .031 .055 .422 .809 .783 .428 .106 .000 .109 .011 .074 .445 .827 .804 .445 .106 .000 1846 .156 4246 -3.219 16.90953 .013919 .144299 -.000211 Correlation Surface at 1946 4246 .123 .140 .173 .383 .522 .284 .144 .087 .038 .092 .105 .166 .246 .350 .302 .216 .114 .041 .093 .117 .161 .230 .307 .319 .326 .144 .027 .042 .071 .204 .464 .563 .423 .345 .113 .025 .002 .007 .246 .882 1.000 .586 .321 .109 .057 .007 .005 .348 .989 .988 .555 .328 .130 .085 .011 .077 .424 .714 .591 .299 .183 .071 .047 .080 .180 .257 .335 .262 .072 .043 .052 .025 r_peak,r_snr = .1653031 7.15029 Correlation Surface of oversamples image at 1946 4246 .029 .040 .084 .177 .294 .379 .399 .390 .395 .022 .066 .171 .328 .478 .549 .522 .467 .438 .016 .108 .306 .545 .729 .767 .654 .514 .423 .013 .154 .442 .746 .937 .920 .715 .498 .365 .017 .201 .540 .851 1.000 .920 .669 .440 .317 .039 .258 .590 .836 .905 .785 .555 .374 .294 .092 .326 .600 .745 .736 .603 .420 .300 .263 .163 .369 .556 .611 .558 .431 .286 .208 .191 .194 .323 .423 .441 .390 .279 .163 .106 .093 1946 -.375 4246 11.375 7.15029 .049258 .063245 .019688 Correlation Surface at 2046 4246 .010 .009 .065 .199 .260 .083 .053 .145 .062 .008 .013 .074 .234 .352 .203 .111 .110 .057 .001 .007 .020 .165 .504 .501 .182 .073 .019 .007 .001 .000 .093 .800 .857 .248 .060 .014 .004 .006 .006 .161 1.000 .938 .182 .035 .013 .000 .005 .021 .173 .695 .549 .103 .017 .009 .024 .014 .000 .093 .378 .297 .077 .007 .013 .064 .043 .001 .104 .418 .325 .097 .012 .007 .015 .001 .026 .159 .431 .409 .238 .054 .005 r_peak,r_snr = .16707 11.06299 Correlation Surface of oversamples image at 2046 4246 .145 .283 .484 .631 .615 .464 .283 .167 .125 .099 .227 .441 .650 .706 .571 .356 .198 .123 .051 .155 .375 .660 .810 .695 .439 .238 .137 .028 .116 .343 .697 .926 .812 .500 .258 .141 .027 .111 .346 .735 1.000 .866 .499 .233 .117 .038 .122 .346 .719 .966 .807 .426 .172 .080 .045 .117 .307 .619 .807 .642 .309 .109 .049 .030 .082 .225 .454 .573 .434 .190 .059 .028 .009 .042 .145 .299 .362 .257 .102 .030 .016 2046 .594 4246 -1.375 11.06299 .012738 .053548 .008418 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .318 .549 .633 .621 .722 .865 .645 .377 .252 .198 .370 .416 .486 .612 .500 .447 .458 .403 .218 .262 .332 .538 .718 .511 .345 .358 .277 .196 .234 .385 .656 .903 .749 .372 .250 .144 .097 .228 .414 .659 1.000 .833 .385 .206 .139 .119 .293 .462 .656 .725 .535 .242 .170 .108 .163 .255 .432 .594 .409 .314 .233 .227 .087 .098 .159 .340 .595 .478 .374 .441 .423 .169 .089 .180 .384 .776 .755 .541 .630 .512 .235 r_peak,r_snr = .1780689 3.72877 Correlation Surface of oversamples image at 146 4646 .326 .477 .620 .685 .621 .455 .307 .253 .293 .349 .526 .694 .775 .726 .556 .382 .290 .280 .397 .578 .757 .865 .854 .698 .490 .346 .282 .449 .604 .776 .914 .956 .823 .583 .386 .279 .499 .601 .746 .906 1.000 .891 .624 .387 .261 .536 .590 .700 .859 .976 .880 .603 .363 .249 .532 .566 .643 .768 .866 .780 .539 .343 .265 .483 .521 .568 .643 .701 .629 .465 .352 .327 .430 .484 .508 .538 .559 .508 .427 .400 .431 146 1.531 4646 -4.875 3.72877 .045116 .081654 .015837 Correlation Surface at 246 4646 .009 .004 .037 .000 .099 .007 .204 .209 .262 .004 .062 .002 .036 .042 .001 .031 .057 .388 .004 .012 .004 .001 .004 .063 .120 .008 .178 .001 .017 .010 .252 .204 .021 .024 .020 .052 .012 .057 .004 .729 1.000 .443 .035 .003 .023 .016 .158 .055 .369 .683 .170 .012 .053 .065 .010 .599 .594 .002 .083 .026 .242 .120 .199 .205 .998 1.131 .145 .000 .086 .183 .012 .000 r_peak,r_snr = 6.76788E-02 8.89012 Correlation Surface of oversamples image at 246 4646 .100 .058 .032 .012 .000 .025 .070 .078 .064 .068 .065 .096 .121 .078 .011 .003 .019 .033 .034 .073 .206 .373 .370 .200 .063 .010 .000 .009 .066 .297 .646 .775 .578 .303 .122 .031 .000 .039 .285 .728 1.000 .872 .539 .253 .083 .010 .007 .176 .567 .868 .809 .521 .242 .069 .065 .011 .044 .274 .485 .452 .265 .094 .009 .222 .124 .005 .044 .133 .119 .045 .001 .019 .459 .347 .121 .011 .001 .001 .004 .043 .119 246 8.594 4646 11.094 8.89012 .115639 .054533 -.010300 Correlation Surface at 346 4646 .000 .008 .007 .111 .417 .282 .093 .031 .024 .016 .095 .274 .081 .018 .080 .014 .000 .144 .364 .161 .060 .053 .002 .016 .228 .708 .513 .146 .046 .000 .043 .298 1.000 .696 .098 .110 .000 .084 .338 .898 .599 .121 .058 .000 .050 .173 .479 .562 .318 .010 .001 .096 .076 .165 .328 .236 .059 .006 .241 .057 .052 .072 .049 r_peak,r_snr = .115235 11.3243 Correlation Surface of oversamples image at 346 4646 .032 .001 .091 .245 .276 .180 .069 .012 .001 .017 .009 .154 .390 .471 .350 .172 .049 .008 .005 .022 .226 .572 .724 .578 .321 .122 .033 .000 .036 .273 .703 .927 .765 .448 .192 .061 .004 .048 .291 .744 1.000 .833 .482 .198 .057 .009 .067 .316 .746 .974 .798 .435 .152 .029 .014 .097 .359 .739 .903 .720 .378 .113 .011 .016 .121 .380 .699 .811 .655 .374 .125 .013 .016 .118 .347 .605 .700 .610 .420 .189 .037 346 12.031 4646 4.563 11.32431 .024870 .179611 .004367 Correlation Surface at 446 4646 .003 .021 .001 .046 .020 .013 .033 .020 .016 .057 .111 .031 .004 .122 .001 .040 .000 .001 .025 .076 .016 .000 .001 .188 .077 .005 .038 .006 .002 .070 .433 .676 .654 .023 .049 .119 .022 .077 .222 .777 1.000 .334 .060 .178 .149 .000 .067 .182 .339 .412 .012 .324 .324 .215 .002 .073 .071 .069 .161 .001 .071 .075 .007 .003 .089 .022 .008 .068 .019 .111 .092 .232 .009 .038 .022 .004 .004 .066 .266 .060 .146 r_peak,r_snr = 8.51844E-02 13.35578 Correlation Surface of oversamples image at 446 4646 .032 .005 .002 .027 .080 .061 .005 .012 .033 .036 .000 .009 .007 .001 .004 .029 .050 .030 .003 .040 .173 .242 .229 .225 .199 .101 .012 .023 .216 .531 .724 .743 .638 .390 .107 .000 .102 .387 .726 .942 1.000 .824 .407 .055 .022 .175 .393 .562 .701 .819 .692 .269 .004 .095 .201 .274 .289 .364 .511 .458 .116 .019 .245 .155 .134 .108 .158 .278 .241 .020 .113 .423 .070 .038 .025 .059 .132 .092 .000 .173 .420 446 -9.094 4646 -.500 13.35578 .072871 .074048 .036739 Correlation Surface at 546 4646 .358 .172 .279 .554 .572 .369 .301 .071 .069 .304 .179 .202 .406 .527 .485 .332 .051 .035 .266 .262 .269 .548 .679 .501 .285 .125 .089 .264 .335 .433 .836 .909 .506 .269 .258 .194 .288 .334 .473 .874 1.000 .582 .355 .292 .210 .271 .278 .387 .680 .787 .592 .443 .308 .224 .308 .242 .328 .520 .638 .580 .421 .328 .238 .410 .220 .337 .552 .696 .592 .368 .317 .271 .485 .266 .440 .722 .713 .546 .440 .367 .318 r_peak,r_snr = .2506428 3.74082 Correlation Surface of oversamples image at 546 4646 .065 .095 .137 .201 .244 .218 .163 .124 .086 .077 .115 .193 .306 .366 .299 .174 .078 .025 .090 .150 .291 .494 .600 .485 .254 .076 .008 .106 .190 .396 .693 .862 .722 .389 .121 .018 .127 .226 .455 .787 1.000 .879 .528 .220 .074 .147 .244 .443 .731 .939 .871 .596 .338 .187 .168 .252 .394 .598 .762 .737 .569 .412 .300 .190 .255 .349 .483 .595 .588 .496 .425 .360 .198 .243 .311 .407 .490 .497 .449 .415 .369 546 -.406 4646 -.375 3.74082 .018321 .055811 -.009687 Correlation Surface at 646 4646 .002 .043 .070 .015 .041 .557 .251 .000 .082 .000 .019 .026 .011 .044 .379 .315 .016 .042 .071 .004 .000 .012 .209 .340 .470 .056 .039 .019 .001 .001 .155 .598 .577 .491 .032 .023 .068 .061 .000 .253 1.000 .975 .583 .042 .002 .097 .085 .021 .100 .583 .704 .447 .006 .020 .006 .024 .110 .052 .015 .275 .138 .035 .079 .043 .041 .044 .294 .063 .121 .009 .159 .115 .097 .125 .015 .030 .001 .099 .047 .482 .218 r_peak,r_snr = 8.53184E-02 7.42704 Correlation Surface of oversamples image at 646 4646 .013 .035 .086 .145 .230 .380 .522 .457 .165 .054 .108 .175 .225 .311 .475 .597 .468 .148 .124 .225 .321 .400 .520 .666 .686 .456 .129 .193 .334 .479 .643 .823 .896 .759 .438 .125 .228 .375 .555 .801 1.000 .953 .689 .355 .102 .221 .332 .489 .728 .869 .744 .466 .206 .050 .145 .200 .296 .469 .554 .435 .228 .072 .006 .035 .049 .095 .209 .288 .220 .084 .008 .005 .006 .003 .002 .063 .161 .138 .034 .001 .035 646 .156 4646 9.000 7.42704 .065426 .078103 -.010607 Correlation Surface at 746 4646 .001 .020 .003 .166 .648 .360 .024 .020 .048 .004 .037 .008 .125 .561 .309 .020 .019 .044 .007 .027 .001 .159 .625 .360 .022 .027 .043 .003 .016 .001 .246 .801 .372 .008 .045 .051 .006 .010 .011 .383 1.000 .338 .000 .045 .046 .012 .011 .022 .431 .993 .350 .005 .022 .021 .017 .017 .026 .388 .836 .327 .010 .014 .010 .011 .013 .033 .362 .703 .194 .000 .019 .002 .006 .007 .032 .289 .510 .085 .023 .037 .001 r_peak,r_snr = .2923983 12.34771 Correlation Surface of oversamples image at 746 4646 .017 .010 .151 .438 .657 .591 .316 .089 .004 .004 .027 .210 .539 .767 .654 .319 .072 .000 .000 .047 .271 .652 .889 .708 .302 .048 .001 .000 .059 .313 .741 .980 .732 .276 .030 .006 .000 .057 .320 .767 1.000 .722 .258 .025 .007 .000 .049 .301 .731 .947 .684 .257 .032 .003 .001 .046 .283 .676 .869 .642 .264 .044 .001 .000 .052 .280 .636 .800 .598 .258 .048 .000 .000 .060 .280 .597 .728 .531 .218 .034 .002 746 -.031 4646 .375 12.34771 .002879 .074657 .004629 Correlation Surface at 846 4646 .076 .027 .097 .045 .113 .062 .003 .115 .117 .000 .049 .107 .267 .472 .153 .015 .097 .032 .054 .067 .138 .425 .794 .379 .016 .006 .002 .020 .032 .131 .482 .995 .409 .067 .002 .008 .009 .004 .025 .426 1.000 .170 .004 .037 .023 .015 .016 .003 .299 .816 .100 .138 .250 .116 .000 .000 .016 .149 .726 .342 .016 .166 .030 .006 .006 .005 .086 .744 .517 .011 .048 .003 .095 .068 .010 .018 .390 .137 .027 .061 .028 r_peak,r_snr = 8.69732E-02 10.2836 Correlation Surface of oversamples image at 846 4646 .122 .132 .220 .424 .633 .566 .238 .018 .032 .129 .166 .285 .541 .817 .761 .382 .073 .002 .109 .157 .303 .614 .943 .905 .521 .167 .015 .059 .112 .280 .643 1.000 .952 .580 .238 .057 .013 .064 .248 .649 1.000 .915 .559 .252 .081 .000 .030 .215 .625 .941 .814 .475 .206 .060 .015 .011 .177 .555 .822 .679 .365 .125 .016 .022 .006 .148 .475 .701 .572 .276 .060 .000 .011 .010 .136 .406 .615 .521 .238 .032 .008 846 .188 4646 -.406 10.28361 .024742 1.471976 .076019 Correlation Surface at 946 4646 .021 .011 .070 .369 .504 .364 .090 .024 .023 .113 .078 .014 .127 .195 .125 .002 .020 .039 .193 .112 .002 .027 .183 .031 .028 .007 .027 .033 .000 .000 .061 .513 .238 .010 .001 .002 .005 .071 .001 .100 1.000 .692 .070 .014 .045 .003 .024 .000 .138 .976 .337 .001 .025 .108 .000 .011 .033 .096 .565 .020 .060 .004 .076 .001 .127 .185 .070 .453 .000 .201 .030 .012 .048 .278 .225 .062 .399 .001 .142 .122 .009 r_peak,r_snr = .1076783 15.64547 Correlation Surface of oversamples image at 946 4646 .015 .005 .002 .019 .019 .002 .004 .022 .028 .033 .002 .028 .098 .097 .040 .004 .002 .007 .024 .003 .124 .313 .340 .218 .087 .017 .000 .006 .027 .274 .621 .721 .541 .269 .073 .004 .000 .058 .385 .837 1.000 .770 .381 .101 .006 .001 .068 .391 .837 .971 .689 .302 .075 .008 .001 .056 .321 .670 .689 .388 .129 .030 .009 .000 .038 .248 .479 .376 .124 .016 .002 .005 .006 .024 .208 .351 .184 .017 .005 .006 .001 946 .438 4646 -.781 15.64548 .016309 .109846 .001257 Correlation Surface at 1046 4646 .000 .004 .003 .138 .376 .010 .051 .076 .025 .000 .023 .026 .063 .248 .033 .010 .030 .009 .000 .028 .027 .071 .264 .017 .028 .015 .002 .001 .057 .028 .144 .567 .045 .051 .006 .017 .022 .140 .089 .129 1.000 .141 .029 .005 .023 .043 .109 .087 .084 .872 .124 .001 .020 .010 .024 .012 .005 .115 .365 .075 .040 .019 .000 .010 .001 .005 .122 .153 .134 .197 .042 .011 .006 .001 .018 .067 .193 .304 .282 .068 .041 r_peak,r_snr = .1264384 18.87227 Correlation Surface of oversamples image at 1046 4646 .040 .000 .058 .180 .200 .061 .006 .101 .141 .043 .001 .108 .342 .410 .154 .001 .136 .225 .075 .000 .134 .521 .697 .323 .004 .127 .255 .135 .009 .121 .632 .939 .503 .029 .089 .218 .178 .026 .097 .635 1.000 .576 .055 .046 .133 .155 .025 .087 .554 .849 .486 .057 .015 .047 .083 .006 .094 .424 .560 .287 .034 .002 .003 .025 .001 .109 .285 .279 .109 .012 .001 .011 .003 .015 .110 .165 .102 .024 .004 .013 .053 1046 -.031 4646 1.375 18.87227 .006511 .071500 -.003935 Correlation Surface at 1146 4646 .054 .107 .101 .001 .107 .135 .000 .051 .003 .002 .020 .015 .001 .131 .004 .163 .049 .008 .090 .002 .012 .001 .212 .003 .282 .140 .036 .114 .033 .020 .078 .860 .074 .104 .107 .052 .143 .083 .001 .122 1.000 .164 .051 .095 .015 .281 .189 .083 .051 .342 .046 .013 .095 .008 .227 .197 .073 .006 .004 .011 .002 .002 .006 .045 .026 .002 .013 .119 .044 .013 .089 .001 .005 .005 .000 .029 .127 .003 .100 .065 .000 r_peak,r_snr = 7.41103E-02 10.78015 Correlation Surface of oversamples image at 1146 4646 .021 .016 .000 .077 .180 .057 .041 .344 .466 .033 .013 .011 .160 .259 .066 .067 .496 .670 .024 .002 .066 .362 .490 .166 .031 .500 .762 .003 .004 .173 .637 .827 .360 .001 .393 .713 .004 .028 .245 .755 1.000 .503 .007 .267 .580 .031 .053 .211 .589 .822 .443 .012 .181 .439 .076 .067 .121 .295 .428 .226 .001 .140 .310 .137 .078 .051 .077 .101 .034 .012 .129 .194 .182 .072 .010 .000 .002 .024 .095 .152 .120 1146 -.094 4646 -.500 10.78016 .017203 .092331 .000142 Correlation Surface at 1246 4646 .044 .080 .022 .111 .352 .259 .000 .078 .007 .020 .062 .027 .210 .675 .328 .007 .013 .001 .002 .064 .047 .191 .771 .361 .030 .000 .002 .033 .003 .025 .250 .876 .272 .027 .001 .008 .155 .026 .008 .394 1.000 .165 .002 .001 .002 .131 .026 .000 .140 .554 .149 .001 .002 .001 .102 .033 .017 .002 .283 .168 .022 .021 .011 .116 .064 .033 .011 .393 .183 .084 .256 .213 .093 .047 .009 .156 .610 .196 .142 .362 .213 r_peak,r_snr = .1317473 17.17638 Correlation Surface of oversamples image at 1246 4646 .004 .007 .058 .244 .456 .430 .238 .082 .015 .000 .008 .085 .333 .584 .534 .294 .109 .026 .000 .017 .161 .502 .769 .642 .325 .107 .021 .000 .041 .275 .699 .940 .707 .309 .076 .005 .000 .068 .352 .799 1.000 .710 .284 .052 .000 .003 .070 .314 .707 .902 .671 .290 .055 .000 .004 .042 .196 .500 .714 .613 .318 .081 .003 .002 .013 .092 .318 .547 .549 .335 .112 .019 .000 .001 .042 .231 .463 .495 .314 .123 .045 1246 -.063 4646 -.031 17.17639 .009010 .061941 .000178 Correlation Surface at 1346 4646 .000 .000 .010 .161 .418 .197 .072 .109 .006 .017 .000 .025 .072 .494 .233 .097 .060 .026 .024 .010 .132 .054 .652 .221 .021 .008 .020 .001 .032 .087 .133 .888 .237 .000 .001 .012 .000 .033 .005 .308 1.000 .273 .009 .025 .006 .001 .006 .018 .404 .909 .246 .050 .113 .026 .025 .006 .013 .163 .443 .122 .022 .043 .053 .092 .012 .001 .018 .086 .037 .000 .000 .018 .074 .004 .020 .040 .064 .032 .000 .004 .006 r_peak,r_snr = .1250101 18.18596 Correlation Surface of oversamples image at 1346 4646 .051 .439 1.416 2.922 4.000 3.689 2.499 1.432 .935 .003 .196 1.006 2.434 3.523 3.287 2.232 1.436 1.249 .165 .002 .330 1.484 2.596 2.522 1.665 1.143 1.199 .761 .252 .040 .940 2.140 2.101 1.195 .690 .696 1.430 .631 .000 .848 2.265 2.120 .954 .316 .190 1346 .156 4646 -1.813 18.18596 .014643 .644417 .050361 Correlation Surface at 1446 4646 .076 .017 .032 .007 .265 .196 .046 .134 .256 .036 .003 .003 .015 .286 .085 .052 .248 .283 .000 .020 .000 .038 .442 .155 .062 .288 .342 .065 .000 .005 .091 .917 .372 .121 .211 .334 .187 .096 .058 .093 1.000 .317 .082 .110 .328 .188 .246 .197 .022 .856 .373 .030 .084 .396 .073 .226 .294 .008 .770 .449 .062 .050 .275 .001 .100 .160 .013 .391 .386 .119 .005 .086 .015 .016 .014 .023 .188 .461 .117 .002 .072 r_peak,r_snr = .1134648 7.64587 Correlation Surface of oversamples image at 1446 4646 .003 .000 .017 .158 .329 .295 .171 .114 .135 .006 .001 .043 .254 .463 .395 .213 .122 .135 .002 .004 .085 .387 .666 .569 .301 .156 .154 .001 .005 .134 .537 .878 .738 .378 .182 .161 .020 .004 .177 .647 1.000 .808 .388 .164 .126 .057 .001 .182 .651 .972 .757 .338 .115 .065 .097 .000 .142 .555 .843 .665 .289 .074 .022 .121 .006 .089 .428 .708 .611 .287 .064 .006 .119 .012 .051 .315 .588 .587 .326 .082 .006 1446 .063 4646 -1.344 7.64587 .010001 .590248 -.022100 Correlation Surface at 1546 4646 .020 .042 .072 .330 .688 .404 .051 .005 .066 .012 .041 .055 .429 .755 .408 .020 .011 .036 .053 .064 .058 .383 .475 .154 .001 .075 .000 .054 .013 .022 .461 .647 .115 .004 .058 .037 .000 .010 .011 .766 1.000 .209 .000 .006 .004 r_peak,r_snr = .1202022 11.63007 Correlation Surface of oversamples image at 1546 4646 .107 .273 .538 .697 .654 .445 .183 .024 .008 .090 .259 .513 .682 .653 .414 .131 .003 .038 .069 .247 .530 .779 .794 .491 .132 .000 .058 .045 .217 .548 .911 .974 .599 .154 .000 .056 .023 .167 .508 .918 1.000 .621 .167 .001 .041 .008 .106 .380 .726 .809 .530 .162 .003 .025 .002 .051 .221 .456 .545 .397 .147 .008 .016 .000 .019 .108 .259 .349 .290 .130 .013 .011 .000 .008 .060 .165 .241 .217 .111 .017 .006 1546 -.156 4646 13.813 11.63008 .020187 .045347 -.002640 Correlation Surface at 1646 4646 .000 .055 .259 .144 .001 .106 .002 .005 .112 .166 .024 .232 .001 .000 .037 .042 .032 .327 .063 .107 .050 .056 .294 .677 .154 .299 .176 .424 1.000 .732 .252 .209 .213 .352 .618 .341 .167 .123 .070 .054 .278 .268 .037 .176 .025 .025 .262 .382 .077 .161 .026 .122 .204 .278 r_peak,r_snr = 8.81345E-02 9.60755 Correlation Surface of oversamples image at 1646 4646 .070 .104 .014 .015 .025 .004 .154 .324 .215 .064 .031 .001 .026 .004 .049 .233 .280 .123 .062 .022 .004 .009 .084 .283 .423 .301 .088 .099 .088 .146 .304 .546 .700 .592 .300 .062 .190 .272 .505 .824 1.000 .845 .521 .217 .037 .274 .420 .667 .871 .811 .523 .263 .098 .017 .240 .324 .412 .408 .280 .139 .068 .032 .013 .098 .102 .095 .059 .018 .007 .013 .024 .038 .005 .001 .000 .002 .008 .001 .014 .062 .115 1646 9.406 4646 1.156 9.60755 .075580 .044253 .026047 Correlation Surface at 1746 4646 .168 .158 .006 .142 .060 .014 .028 .284 .750 .043 .125 .052 .014 .004 .048 .093 .002 .093 .002 .117 .066 .000 .000 .001 .068 .150 .013 .036 .250 .035 .050 .269 .352 .001 .230 .041 .357 .292 .023 .276 1.000 .573 .003 .206 .021 .314 .065 .006 .146 .564 .116 .006 .116 .001 .019 .019 .007 .030 .031 .037 .021 .030 .001 .066 .127 .032 .027 .000 .109 .010 .000 .001 .123 .187 .122 .134 .117 .013 .017 .012 .002 r_peak,r_snr = 6.82464E-02 8.71225 Correlation Surface of oversamples image at 1746 4646 .335 .004 .185 .243 .020 .000 .186 1.065 .004 .304 1.088 1.060 .282 .054 .297 1.050 .377 1.206 2.291 1.922 .712 .266 .525 1.111 1.192 2.475 3.514 3.002 1.846 1.334 1.621 2.023 1746 -3.813 4646 -7.188 8.71225 .056430 .054632 .014190 Correlation Surface at 1846 4646 .150 .145 .010 .002 .174 .027 .005 .025 .208 .073 .029 .008 .070 .407 .251 .016 .097 .365 .001 .029 .021 .108 .584 .310 .029 .268 .330 .022 .044 .006 .413 .997 .377 .104 .243 .044 .035 .014 .122 .714 1.000 .367 .113 .195 .002 .202 .028 .090 .621 .731 .211 .057 .133 .014 .009 .018 .015 .303 .463 .111 .028 .074 .050 .120 .122 .019 .069 .214 .073 .052 .102 .170 .123 .051 .026 .061 .182 .148 .225 .282 .363 r_peak,r_snr = 9.40868E-02 11.82438 Correlation Surface of oversamples image at 1846 4646 .012 .017 .071 .180 .269 .269 .150 .039 .006 .017 .030 .106 .256 .388 .403 .234 .064 .014 .027 .064 .195 .424 .591 .557 .290 .075 .026 .057 .149 .366 .674 .831 .672 .296 .074 .043 .125 .298 .579 .911 1.000 .692 .258 .066 .057 .213 .429 .700 .978 .972 .583 .179 .044 .054 .246 .438 .656 .848 .767 .399 .094 .017 .032 .213 .364 .545 .670 .554 .260 .051 .006 .013 .165 .301 .468 .553 .434 .205 .045 .005 .005 1846 -.188 4646 -1.719 11.82439 .063988 .653442 .110024 Correlation Surface at 1946 4646 .000 .016 .038 .090 .316 .328 .069 .125 .293 .005 .044 .010 .002 .149 .418 .277 .272 .302 .009 .010 .002 .002 .311 .670 .234 .134 .121 .015 .004 .002 .053 .800 .603 .052 .035 .056 .000 .000 .048 .338 1.000 .394 .066 .131 .103 .000 .003 .110 .457 .879 .350 .137 .257 .150 .022 .009 .057 .337 .657 .332 .129 .169 .089 .070 .015 .045 .411 .535 .324 .128 .057 .007 .014 .012 .202 .727 .643 .440 .127 .003 .003 r_peak,r_snr = .1068386 8.2401 Correlation Surface of oversamples image at 1946 4646 .028 .245 .630 1.277 2.045 2.465 2.000 .995 .336 .000 .120 .489 1.168 1.922 2.263 1.748 .815 .235 .010 .087 .520 1.330 2.088 2.253 1.658 .793 .238 .003 .226 .913 2.050 2.849 2.739 1.978 1.101 .451 1946 -.438 4646 3.875 8.24010 .045198 .506646 .116776 Correlation Surface at 2046 4646 .002 .016 .000 .167 .197 .031 .103 .018 .002 .081 .059 .008 .024 .039 .054 .202 .050 .013 .151 .012 .005 .002 .029 .028 .294 .010 .093 .037 .015 .004 .122 .465 .026 .037 .067 .136 .006 .000 .060 .218 1.000 .159 .036 .125 .061 .010 .020 .027 .195 .606 .059 .000 .020 .036 .002 .005 .138 .348 .170 .003 .007 .014 .051 .004 .143 .612 .358 .068 .019 .005 .002 .040 .005 .232 .376 .179 .153 .051 .003 .000 .048 r_peak,r_snr = 8.77245E-02 12.68682 Correlation Surface of oversamples image at 2046 4646 .000 .002 .018 .061 .073 .033 .001 .019 .073 .009 .019 .069 .183 .239 .154 .036 .001 .024 .019 .054 .207 .476 .590 .390 .116 .008 .000 .006 .065 .333 .774 .942 .607 .186 .030 .014 .003 .031 .300 .802 1.000 .617 .176 .031 .019 .034 .003 .164 .560 .726 .419 .100 .011 .004 .048 .000 .070 .283 .354 .173 .025 .000 .001 .009 .005 .052 .127 .118 .036 .000 .006 .005 .040 .102 .099 .072 .033 .003 .002 .007 .002 2046 -.094 4646 9.813 12.68683 .014715 .054771 .000164 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .136 .249 .402 .611 .693 .514 .385 .464 .379 .122 .235 .446 .701 .697 .485 .444 .556 .470 .129 .298 .615 .912 .830 .511 .361 .339 .263 .143 .315 .622 .944 1.000 .666 .382 .213 .096 .146 .336 .622 .732 .753 .604 .421 .270 .081 .182 .408 .705 .630 .512 .452 .418 .433 .193 .235 .418 .689 .591 .455 .488 .475 .511 .296 .330 .453 .580 .542 .431 .458 .494 .496 .276 r_peak,r_snr = .2177484 3.81888 Correlation Surface of oversamples image at 146 5046 .264 .452 .666 .815 .858 .821 .748 .677 .614 .270 .481 .720 .874 .891 .809 .696 .609 .546 .296 .511 .761 .927 .937 .815 .656 .546 .479 .337 .531 .768 .949 .981 .844 .647 .514 .451 .382 .531 .731 .923 1.000 .886 .671 .516 .457 .415 .512 .661 .842 .959 .894 .690 .520 .460 .461 .526 .631 .774 .890 .862 .691 .523 .456 146 .094 5046 -9.281 3.81888 .047435 .044035 -.015054 Correlation Surface at 246 5046 .000 .133 .278 .607 .448 .092 .005 .013 .030 .097 .191 .328 .001 .009 .014 .044 .094 .220 .211 .281 .233 .107 .059 .160 .417 1.000 .743 .305 .282 .561 .191 .756 .575 .257 .241 .440 .047 .218 .218 .016 .015 .012 .070 .080 .097 .004 .124 .044 .034 .018 .006 .059 .061 .010 r_peak,r_snr = 7.84362E-02 8.66778 Correlation Surface of oversamples image at 246 5046 .034 .021 .038 .064 .093 .136 .185 .261 .408 .112 .081 .102 .154 .230 .307 .330 .357 .493 .258 .231 .269 .369 .496 .568 .522 .474 .573 .401 .420 .517 .686 .813 .806 .677 .577 .637 .404 .492 .684 .922 1.000 .891 .718 .617 .658 .268 .406 .680 .952 .984 .828 .661 .583 .601 .118 .257 .541 .792 .800 .661 .525 .458 .440 .037 .135 .365 .571 .580 .466 .347 .273 .225 .018 .078 .238 .396 .415 .315 .196 .115 .063 246 -13.656 5046 -10.750 8.66778 .085262 .059443 -.017805 Correlation Surface at 346 5046 .068 .054 .167 .073 .000 .007 .093 .153 .012 .024 .002 .055 .005 .031 .044 .054 .021 .011 .003 .005 .013 .024 .159 .050 .002 .018 .005 .011 .056 .001 .166 .509 .059 .014 .027 .000 .029 .133 .009 .309 1.000 .184 .033 .021 .093 .028 .124 .054 .175 .796 .072 .177 .083 .108 .003 .082 .134 .074 .533 .011 .300 .184 .024 .010 .093 .158 .035 .504 .147 .089 .190 .001 .001 .144 .059 .030 .461 .432 .000 .109 .006 r_peak,r_snr = .1002307 15.76995 Correlation Surface of oversamples image at 346 5046 .063 .050 .001 .044 .104 .062 .007 .001 .004 .051 .014 .020 .176 .268 .130 .005 .019 .036 .074 .006 .067 .361 .555 .307 .024 .025 .074 .154 .014 .082 .495 .856 .581 .093 .012 .098 .264 .042 .057 .505 1.000 .786 .182 .002 .106 .346 .083 .025 .421 .919 .765 .196 .001 .115 .397 .123 .008 .320 .725 .580 .125 .008 .149 .436 .154 .002 .250 .560 .410 .061 .031 .205 .461 .170 .001 .211 .476 .355 .053 .037 .250 346 .125 5046 -.875 15.76995 .013873 .074246 -.000363 Correlation Surface at 446 5046 .076 .000 .002 .002 .132 .036 .001 .009 .000 .016 .001 .006 .043 .616 .231 .001 .049 .022 .004 .007 .014 .033 .577 .181 .000 .135 .115 .031 .001 .000 .088 .559 .149 .001 .200 .128 .151 .049 .001 .264 1.000 .384 .001 .180 .055 .322 .188 .026 .186 .863 .313 .006 .161 .025 .540 .278 .011 .114 .337 .014 .227 .205 .016 .519 .307 .002 .225 .227 .033 .437 .100 .000 .169 .053 .156 .558 .408 .001 .166 .023 .016 r_peak,r_snr = 9.95863E-02 10.38697 Correlation Surface of oversamples image at 446 5046 .011 .000 .048 .199 .265 .143 .026 .000 .015 .005 .007 .097 .271 .316 .165 .036 .001 .011 .008 .032 .232 .503 .545 .317 .104 .014 .005 .028 .049 .379 .784 .851 .552 .223 .043 .002 .073 .033 .394 .873 1.000 .706 .307 .055 .003 .116 .010 .277 .690 .843 .621 .251 .021 .031 .111 .003 .158 .412 .509 .350 .092 .005 .149 .064 .009 .123 .252 .259 .121 .001 .114 .375 .025 .040 .177 .242 .160 .024 .039 .307 .583 446 3.375 5046 -.031 10.38697 .018412 .109406 -.001644 Correlation Surface at 546 5046 .547 .458 .497 .667 .645 .498 .332 .364 .279 .311 .391 .559 .661 .601 .434 .341 .397 .262 .212 .407 .600 .605 .642 .514 .372 .306 .179 .188 .366 .510 .577 .792 .698 .457 .266 .147 .199 .335 .429 .636 1.000 .835 .505 .273 .158 .307 .466 .430 .588 .982 .775 .407 .241 .156 .372 .496 .434 .479 .668 .529 .330 .225 .161 .269 .351 .400 .376 .389 .384 .344 .261 .180 .225 .320 .324 .269 .333 .392 .330 .294 .164 r_peak,r_snr = .279536 3.48312 Correlation Surface of oversamples image at 546 5046 .275 .364 .512 .638 .648 .530 .389 .294 .220 .241 .351 .550 .738 .794 .700 .559 .428 .290 .242 .388 .631 .843 .911 .834 .698 .537 .352 .262 .442 .715 .928 .984 .892 .731 .543 .354 .286 .479 .756 .962 1.000 .857 .638 .437 .288 .303 .475 .722 .917 .935 .736 .480 .304 .212 .311 .435 .624 .791 .789 .577 .347 .225 .179 .304 .372 .495 .613 .597 .430 .276 .214 .198 .274 .297 .364 .432 .418 .321 .247 .234 .237 546 1.344 5046 -6.563 3.48312 .014206 .067830 -.002994 Correlation Surface at 646 5046 .017 .112 .115 .025 .060 .074 .083 .048 .082 .088 .262 .199 .094 .252 .273 .162 .066 .090 .290 .660 .594 .319 .424 .438 .211 .028 .026 .424 .775 .777 .572 .781 .659 .182 .003 .000 .114 .160 .171 .353 1.000 .848 .155 .000 .001 .001 .012 .001 .099 .562 .570 .178 .012 .001 .001 .001 .022 .119 .357 .367 .131 .033 .010 .032 .142 .330 .308 .402 .321 .027 .001 .006 .039 .333 .525 .339 .388 .264 .002 .011 .010 r_peak,r_snr = .1080361 7.87473 Correlation Surface of oversamples image at 646 5046 .024 .002 .006 .037 .081 .161 .318 .480 .252 .285 .488 .713 .739 .644 .554 .469 .535 .867 1.577 2.123 1.953 1.345 .808 .510 .689 1.367 2.645 3.501 3.040 1.876 1.014 .663 646 -2.500 5046 6.813 7.87473 .050803 .082962 -.026160 Correlation Surface at 746 5046 .000 .000 .000 .027 .224 .070 .000 .005 .001 .004 .000 .008 .058 .270 .014 .063 .064 .029 .001 .005 .010 .092 .320 .018 .047 .034 .009 .000 .016 .003 .175 .619 .141 .000 .000 .003 .005 .030 .001 .313 1.000 .265 .000 .000 .000 .020 .054 .001 .309 .921 .233 .000 .009 .009 .029 .043 .003 .289 .717 .160 .000 .009 .008 .028 .031 .002 .214 .521 .076 .008 .022 .002 .019 .039 .004 .098 .270 .027 .027 .034 .001 r_peak,r_snr = .2129615 25.13285 Correlation Surface of oversamples image at 746 5046 .028 .004 .118 .312 .365 .197 .028 .005 .032 .014 .019 .201 .485 .568 .333 .073 .000 .013 .006 .042 .308 .706 .811 .476 .116 .002 .011 .004 .059 .389 .872 .977 .560 .136 .002 .018 .004 .064 .412 .910 1.000 .564 .133 .001 .031 .003 .067 .397 .844 .912 .511 .119 .000 .038 .000 .077 .377 .751 .795 .444 .101 .000 .037 .000 .088 .355 .666 .693 .381 .083 .000 .031 .001 .077 .304 .570 .588 .312 .062 .000 .030 746 -.188 5046 .344 25.13285 .003903 .033009 .000323 Correlation Surface at 846 5046 .023 .081 .007 .144 .427 .150 .039 .002 .000 .050 .105 .040 .117 .523 .235 .031 .001 .036 .028 .142 .079 .123 .544 .187 .012 .009 .015 .006 .137 .119 .198 .745 .044 .012 .010 .003 .007 .147 .115 .322 1.000 .034 .015 .001 .003 .018 .090 .053 .110 .580 .094 .002 .018 .029 .136 .037 .005 .004 .234 .143 .006 .010 .107 .279 .042 .000 .011 .225 .161 .058 .014 .043 .262 .083 .009 .025 .226 .149 .041 .001 .058 r_peak,r_snr = .1100008 11.59658 Correlation Surface of oversamples image at 846 5046 .253 .132 .009 .061 .319 .581 .570 .318 .110 .233 .141 .009 .092 .434 .685 .557 .245 .060 .227 .147 .004 .165 .634 .823 .511 .148 .016 .239 .137 .000 .295 .893 .972 .470 .083 .001 .256 .117 .007 .393 1.000 .981 .420 .060 .000 .260 .103 .008 .332 .792 .770 .349 .069 .007 .240 .098 .001 .165 .437 .484 .286 .108 .036 .209 .100 .004 .048 .200 .308 .277 .181 .091 .192 .105 .017 .014 .129 .281 .341 .276 .147 846 -.250 5046 -.125 11.59659 .008483 .068178 -.003617 Correlation Surface at 946 5046 .000 .022 .007 .017 .170 .112 .007 .005 .001 .001 .016 .000 .016 .163 .150 .013 .000 .000 .000 .056 .008 .040 .326 .209 .010 .003 .001 .000 .059 .005 .139 .687 .237 .002 .009 .016 .007 .031 .007 .407 1.000 .241 .001 .004 .016 .002 .035 .004 .337 .747 .205 .001 .014 .001 .000 .009 .000 .050 .272 .049 .044 .034 .001 .015 .001 .000 .000 .074 .000 .048 .002 .006 .010 .000 .001 .000 .045 .003 .001 .004 .002 r_peak,r_snr = .1283394 20.4227 Correlation Surface of oversamples image at 946 5046 .003 .028 .095 .231 .397 .446 .308 .123 .022 .004 .042 .151 .358 .576 .584 .366 .146 .036 .013 .091 .274 .559 .778 .662 .337 .117 .033 .024 .168 .451 .800 .954 .682 .279 .079 .022 .025 .219 .578 .936 1.000 .642 .229 .053 .013 .021 .202 .525 .806 .812 .495 .164 .031 .005 .019 .140 .333 .481 .465 .276 .082 .009 .000 .020 .075 .139 .178 .167 .094 .018 .000 .005 .018 .026 .027 .027 .025 .008 .001 .015 .016 946 -.156 5046 -.563 20.42270 .011785 .072878 .006546 Correlation Surface at 1046 5046 .695 .268 .001 .057 .278 .242 .026 .001 .001 .762 .034 .071 .102 .535 .627 .152 .001 .002 .322 .032 .223 .185 .696 .878 .293 .132 .035 .036 .230 .251 .138 .827 .842 .339 .431 .123 .000 .261 .117 .093 1.000 .607 .087 .148 .032 .041 .293 .088 .053 .499 .126 .004 .015 .015 .061 .377 .153 .138 .208 .006 .000 .057 .019 .023 .204 .123 .336 .272 .029 .022 .063 .004 .012 .116 .004 .076 .212 .062 .014 .045 .002 r_peak,r_snr = 8.58527E-02 10.67659 Correlation Surface of oversamples image at 1046 5046 .017 .041 .162 .405 .636 .680 .484 .216 .051 .036 .072 .234 .535 .806 .833 .570 .244 .061 .063 .089 .258 .601 .908 .899 .591 .266 .100 .072 .073 .238 .640 .974 .894 .560 .286 .175 .057 .047 .224 .689 1.000 .818 .478 .275 .236 .035 .031 .219 .689 .906 .650 .341 .195 .190 .019 .018 .179 .547 .665 .432 .191 .085 .074 .009 .005 .098 .325 .394 .244 .088 .022 .010 .005 .000 .039 .162 .210 .134 .045 .007 .002 1046 .563 5046 -1.125 10.67659 .024793 .115419 .017953 Correlation Surface at 1146 5046 .156 .267 .277 .213 .230 .340 .090 .005 .000 .043 .143 .183 .155 .160 .291 .199 .010 .003 .010 .027 .017 .090 .370 .598 .365 .038 .011 .099 .094 .017 .153 .771 .974 .329 .004 .045 .232 .190 .061 .280 1.000 .935 .113 .028 .049 .247 .096 .043 .312 .884 .804 .106 .005 .011 .142 .046 .049 .320 .619 .604 .119 .002 .000 .111 .054 .031 .166 .247 .271 .087 .006 .004 .192 .152 .026 .039 .093 .241 .210 .033 .016 r_peak,r_snr = .1363708 11.37214 Correlation Surface of oversamples image at 1146 5046 .004 .020 .061 .136 .218 .254 .228 .181 .139 .000 .019 .106 .274 .439 .463 .365 .270 .209 .000 .034 .189 .486 .737 .695 .474 .305 .202 .011 .079 .311 .709 .967 .806 .468 .239 .106 .050 .151 .431 .831 1.000 .732 .344 .114 .016 .087 .207 .488 .811 .866 .552 .194 .027 .002 .081 .207 .457 .691 .672 .379 .097 .002 .014 .053 .174 .387 .552 .516 .280 .065 .001 .004 .041 .158 .338 .464 .438 .251 .076 .013 .004 1146 -.531 5046 -.656 11.37214 .030268 .183845 .030651 Correlation Surface at 1246 5046 .134 .268 .053 .000 .084 .002 .042 .000 .046 .000 .102 .124 .018 .152 .000 .049 .005 .035 .027 .203 .202 .024 .358 .014 .108 .001 .005 .382 .392 .122 .006 .602 .033 .086 .001 .021 .272 .056 .001 .037 1.000 .190 .004 .078 .005 .067 .035 .048 .074 .742 .394 .253 .218 .001 .113 .029 .041 .005 .158 .203 .176 .096 .026 .053 .020 .014 .004 .078 .062 .004 .011 .026 .035 .118 .050 .047 .076 .005 .042 .001 .004 r_peak,r_snr = 7.96672E-02 11.157 Correlation Surface of oversamples image at 1246 5046 .360 .347 .119 .006 .170 .182 .012 .062 .102 .427 .329 .068 .064 .444 .436 .052 .062 .142 .394 .241 .021 .176 .743 .670 .098 .049 .136 .254 .130 .001 .285 .936 .804 .143 .018 .064 .093 .041 .007 .359 1.000 .869 .215 .001 .001 .006 .002 .030 .382 .970 .906 .339 .072 .067 .020 .010 .052 .353 .880 .924 .510 .271 .293 .083 .028 .040 .243 .687 .840 .603 .449 .486 .109 .019 .008 .113 .458 .654 .522 .422 .459 1246 .188 5046 .563 11.15701 .012835 .139886 -.002971 Correlation Surface at 1346 5046 .000 .005 .072 .212 .479 .331 .080 .017 .008 .003 .013 .033 .230 .567 .399 .115 .006 .044 .003 .018 .018 .230 .560 .498 .149 .002 .025 .000 .037 .070 .345 .714 .585 .121 .004 .000 .003 .121 .316 .694 1.000 .674 .125 .020 .010 .025 .225 .425 .684 .903 .740 .244 .052 .004 .010 .080 .127 .268 .523 .658 .328 .075 .007 .000 .000 .003 .135 .448 .471 .160 .029 .012 .000 .002 .016 .291 .466 .214 .025 .002 .006 r_peak,r_snr = .1443498 9.45646 Correlation Surface of oversamples image at 1346 5046 .008 .041 .119 .218 .300 .302 .220 .109 .030 .036 .104 .232 .368 .445 .401 .259 .109 .025 .125 .255 .448 .623 .678 .556 .326 .126 .029 .269 .454 .686 .875 .910 .727 .420 .166 .046 .383 .575 .787 .959 1.000 .828 .508 .226 .082 .383 .533 .679 .811 .882 .791 .540 .282 .129 .273 .367 .451 .546 .648 .652 .505 .310 .170 .136 .196 .255 .337 .455 .515 .441 .299 .177 .043 .086 .147 .240 .363 .426 .364 .239 .133 1346 -.156 5046 9.438 9.45646 .046926 .121844 .019229 Correlation Surface at 1446 5046 .035 .014 .022 .233 .663 .499 .179 .027 .000 .032 .000 .020 .136 .684 .463 .082 .001 .005 .006 .007 .012 .136 .691 .398 .071 .002 .001 .008 .007 .007 .234 .751 .387 .088 .002 .001 .047 .011 .006 .366 1.000 .511 .075 .000 .016 .058 .023 .001 .328 .972 .469 .041 .001 .010 .030 .007 .000 .167 .661 .336 .019 .001 .003 .013 .001 .004 .082 .442 .303 .026 .004 .002 .037 .006 .000 .020 .213 .179 .027 .015 .024 r_peak,r_snr = .1338233 12.82444 Correlation Surface of oversamples image at 1446 5046 .028 .047 .180 .475 .705 .635 .406 .215 .107 .020 .052 .213 .507 .665 .536 .321 .178 .101 .020 .075 .293 .622 .740 .555 .318 .177 .108 .025 .108 .393 .780 .891 .656 .367 .193 .114 .031 .123 .443 .871 1.000 .748 .412 .195 .103 .025 .097 .383 .796 .962 .754 .414 .176 .082 .011 .047 .242 .586 .797 .683 .385 .156 .063 .003 .015 .120 .373 .613 .600 .364 .148 .051 .003 .006 .058 .236 .477 .538 .360 .151 .047 1446 -.094 5046 1.594 12.82445 .015715 .256015 .003045 Correlation Surface at 1546 5046 .091 .046 .009 .106 .214 .021 .021 .035 .024 .021 .004 .004 .307 .581 .157 .000 .031 .005 .042 .000 .004 .258 .882 .420 .007 .038 .001 .042 .001 .008 .218 .972 .470 .001 .078 .029 .007 .026 .006 .347 1.000 .274 .014 .103 .086 .000 .044 .002 .314 .870 .139 .067 .157 .084 .008 .000 .000 .106 .521 .094 .065 .160 .039 .016 .006 .014 .027 .420 .122 .031 .099 .011 .006 .001 .014 .086 .518 .096 .029 .071 .004 r_peak,r_snr = .1390074 15.39976 Correlation Surface of oversamples image at 1546 5046 .072 .203 .440 .633 .596 .378 .159 .039 .003 .033 .163 .433 .688 .724 .535 .272 .089 .013 .005 .093 .348 .673 .848 .732 .427 .161 .029 .000 .047 .269 .653 .954 .887 .533 .203 .035 .005 .027 .234 .654 1.000 .908 .516 .179 .024 .013 .020 .231 .665 .970 .808 .405 .111 .005 .024 .018 .242 .662 .897 .679 .288 .051 .001 .028 .019 .239 .620 .805 .573 .208 .019 .016 .018 .019 .198 .516 .681 .477 .156 .006 .039 1546 .156 5046 -2.000 15.39976 .024802 1.021722 .125947 Correlation Surface at 1646 5046 .001 .000 .015 .133 .292 .135 .014 .000 .014 .002 .008 .016 .289 .504 .166 .010 .067 .052 .049 .023 .022 .345 .698 .205 .035 .059 .023 .093 .038 .000 .226 .849 .289 .009 .014 .015 .074 .027 .003 .235 1.000 .325 .005 .001 .009 .044 .006 .001 .258 .827 .246 .052 .041 .001 .021 .005 .001 .151 .463 .215 .061 .018 .000 .008 .005 .001 .059 .290 .232 .031 .002 .027 .033 .004 .001 .045 .284 .229 .021 .019 .094 r_peak,r_snr = .159571 15.11668 Correlation Surface of oversamples image at 1646 5046 .001 .025 .103 .246 .368 .339 .212 .098 .032 .001 .039 .162 .380 .558 .509 .299 .109 .014 .004 .076 .269 .573 .789 .680 .360 .100 .003 .014 .120 .365 .730 .952 .763 .354 .070 .000 .017 .123 .376 .769 1.000 .766 .316 .045 .002 .007 .081 .304 .708 .970 .743 .290 .037 .001 .000 .037 .224 .633 .930 .723 .282 .044 .001 .002 .015 .181 .596 .901 .688 .270 .054 .009 .003 .011 .170 .582 .853 .626 .248 .061 .020 1646 .000 5046 -2.875 15.11668 .006580 .134173 .003017 Correlation Surface at 1746 5046 .413 .572 .570 .751 .844 .900 .705 .652 .512 .403 .474 .564 .912 1.000 .936 .764 .664 .462 .342 .399 .532 .799 .798 .721 .580 .479 .358 .351 .458 .596 .626 .595 .512 .375 .313 .291 .413 .552 .696 .622 .569 .470 .278 .228 .301 .540 .622 .621 .598 .516 .407 .297 .273 .370 r_peak,r_snr = .2267746 3.08256 Correlation Surface of oversamples image at 1746 5046 .257 .224 .202 .233 .335 .470 .564 .583 .554 .348 .318 .319 .391 .528 .661 .710 .679 .635 .470 .474 .514 .614 .752 .842 .828 .760 .723 .592 .661 .734 .828 .923 .947 .889 .821 .807 .682 .810 .898 .964 1.000 .967 .896 .850 .853 .708 .857 .945 .989 .984 .917 .847 .820 .817 .659 .787 .861 .898 .877 .793 .723 .698 .682 .584 .663 .714 .745 .718 .626 .551 .520 .497 .531 .556 .580 .600 .565 .472 .391 .352 .328 1746 3.344 5046 -14.250 3.08256 .301456 .063257 .068075 Correlation Surface at 1846 5046 .012 .006 .003 .003 .090 .310 .108 .003 .031 .058 .105 .132 .008 .240 .760 .276 .007 .000 .053 .051 .078 .006 .515 .859 .254 .027 .001 .027 .003 .007 .151 .829 .712 .084 .003 .001 .052 .001 .001 .330 1.000 .527 .026 .006 .001 .067 .003 .001 .198 .773 .508 .063 .000 .002 .027 .012 .016 .038 .537 .454 .045 .005 .005 .015 .007 .014 .028 .383 .267 .011 .013 .002 .049 .000 .013 .066 .180 .105 .026 .049 .005 r_peak,r_snr = .1301483 13.91668 Correlation Surface of oversamples image at 1846 5046 .097 .040 .000 .064 .254 .467 .549 .423 .208 .039 .006 .020 .169 .411 .593 .592 .406 .189 .002 .009 .118 .379 .645 .740 .616 .367 .151 .006 .062 .282 .647 .886 .851 .610 .320 .112 .018 .109 .407 .824 1.000 .855 .563 .281 .090 .017 .112 .414 .811 .938 .768 .504 .262 .088 .006 .076 .318 .647 .772 .660 .462 .263 .099 .000 .033 .190 .438 .584 .551 .414 .241 .093 .006 .006 .089 .265 .421 .440 .332 .174 .057 1846 -.031 5046 2.563 13.91668 .016788 .143818 .012146 Correlation Surface at 1946 5046 .009 .021 .089 .200 .033 .088 .026 .031 .009 .032 .031 .123 .404 .147 .084 .003 .012 .002 .223 .128 .209 .750 .564 .331 .253 .112 .018 .179 .039 .045 .826 .955 .717 .852 .575 .229 .001 .010 .009 .783 1.000 .572 .403 .413 .179 .158 .037 .050 .627 .653 .255 .093 .132 .000 .144 .002 .234 .684 .474 .150 .032 .029 .025 .003 .088 .473 .897 .503 .174 .035 .040 .001 .009 .068 .207 .456 .399 .270 .125 .109 .088 r_peak,r_snr = .1049023 8.55573 Correlation Surface of oversamples image at 1946 5046 .038 .085 .152 .181 .163 .134 .122 .127 .105 .069 .129 .256 .387 .450 .409 .324 .267 .216 .035 .080 .260 .550 .759 .717 .535 .400 .335 .000 .010 .188 .619 .955 .890 .622 .433 .360 .060 .007 .119 .619 1.000 .885 .569 .357 .263 .154 .033 .088 .585 .929 .763 .437 .227 .122 .158 .020 .109 .575 .843 .640 .324 .131 .042 .063 .001 .192 .614 .801 .579 .277 .099 .025 .001 .064 .330 .691 .801 .563 .273 .107 .039 1946 .625 5046 .344 8.55573 .092570 .235559 .055911 Correlation Surface at 2046 5046 .007 .012 .007 .030 .027 .041 .054 .161 .059 .105 .028 .006 .006 .074 .166 .299 .339 .116 .179 .030 .002 .001 .100 .100 .139 .200 .061 .063 .148 .058 .029 .488 .221 .063 .019 .001 .006 .223 .046 .143 1.000 .396 .011 .071 .030 .173 .012 .039 .224 .445 .099 .033 .064 .006 .193 .031 .032 .195 .114 .001 .031 .000 .028 .083 .025 .025 .263 .219 .006 .030 .069 .027 .077 .009 .082 .363 .263 .003 .164 .445 .221 r_peak,r_snr = 9.45429E-02 15.33917 Correlation Surface of oversamples image at 2046 5046 .127 .061 .031 .054 .109 .119 .090 .095 .114 .209 .095 .055 .127 .258 .250 .142 .093 .078 .221 .090 .087 .281 .542 .469 .221 .098 .049 .170 .081 .154 .512 .876 .692 .294 .095 .014 .119 .098 .252 .686 1.000 .724 .281 .058 .003 .109 .155 .336 .656 .777 .508 .172 .012 .055 .132 .232 .359 .476 .433 .236 .055 .001 .112 .123 .240 .296 .283 .187 .067 .003 .020 .113 .073 .182 .231 .198 .100 .019 .001 .026 .068 2046 .031 5046 .906 15.33918 .017026 .036933 .006349 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .024 .024 .117 .351 .633 .501 .344 .290 .347 .017 .039 .139 .320 .508 .367 .210 .138 .238 .016 .033 .130 .398 .560 .379 .185 .152 .257 .011 .031 .178 .609 .819 .475 .220 .265 .382 .010 .064 .236 .636 1.000 .585 .222 .255 .350 .019 .088 .232 .523 .917 .622 .293 .269 .305 .040 .085 .215 .500 .793 .581 .392 .313 .283 .049 .085 .250 .569 .777 .561 .352 .274 .287 .045 .117 .337 .620 .796 .586 .264 .195 .331 r_peak,r_snr = .2374435 5.63886 Correlation Surface of oversamples image at 146 5446 .158 .311 .508 .683 .725 .604 .420 .268 .177 .207 .377 .597 .799 .847 .694 .459 .273 .172 .258 .413 .629 .857 .943 .788 .506 .279 .162 .287 .407 .602 .856 .996 .863 .553 .291 .157 .287 .376 .553 .819 1.000 .903 .592 .314 .170 .276 .348 .512 .771 .961 .892 .609 .343 .199 .271 .341 .492 .724 .892 .835 .596 .366 .233 .276 .351 .493 .693 .816 .749 .553 .367 .255 .283 .367 .505 .675 .751 .664 .500 .351 .256 146 .094 5446 -2.625 5.63886 .011152 .082741 -.009339 Correlation Surface at 246 5446 .008 .004 .016 .000 .068 .001 .069 .057 .077 .014 .000 .006 .016 .035 .012 .184 .127 .086 .181 .110 .013 .143 .343 .016 .089 .002 .036 .687 .277 .076 .514 .920 .297 .005 .119 .325 .315 .007 .118 .272 1.000 .811 .070 .142 .371 .042 .112 .134 .093 .539 .583 .017 .096 .338 .002 .071 .028 .016 .155 .109 .007 .091 .229 .001 .037 .001 .016 .006 .007 .016 .051 .131 .010 .097 .013 .154 .046 .004 .036 .048 .004 r_peak,r_snr = 8.06708E-02 8.87605 Correlation Surface of oversamples image at 246 5446 .152 .132 .040 .009 .091 .041 .030 .312 .476 .099 .022 .006 .140 .313 .193 .001 .163 .317 .032 .007 .123 .394 .619 .438 .064 .034 .136 .001 .062 .263 .610 .870 .680 .198 .001 .036 .013 .110 .324 .700 1.000 .846 .337 .031 .005 .062 .138 .313 .661 .974 .881 .412 .067 .000 .125 .144 .254 .519 .794 .757 .384 .078 .001 .146 .111 .163 .336 .541 .530 .262 .053 .003 .090 .046 .070 .180 .327 .317 .130 .017 .003 246 .125 5446 5.719 8.87605 .092466 .266117 -.101094 Correlation Surface at 346 5446 .282 .088 .007 .043 .000 .034 .104 .396 .024 .003 .000 .104 .133 .007 .120 .052 .036 .004 .283 .196 .008 .022 .015 .005 .071 .528 .398 .002 .225 .102 .202 .676 1.000 .295 .030 .032 .166 .606 .806 .461 .004 .021 .000 .000 .094 .345 .051 .092 .004 .045 .209 .199 .076 .032 .163 .197 .001 .638 .737 .000 .008 .226 .477 r_peak,r_snr = 6.74378E-02 6.95585 Correlation Surface of oversamples image at 346 5446 1.735 1.126 1.033 1.189 1.143 .153 .180 .667 1.398 1.514 .476 .140 .110 .769 .924 2.540 1.294 .109 .072 .139 4.000 2.555 .883 .199 .118 3.348 2.620 1.659 1.062 .970 1.502 1.449 1.503 1.586 1.740 .296 .346 .647 1.071 1.462 .010 .001 .029 .158 .438 346 6.625 5446 -1.375 6.95585 .139397 .154169 .111227 Correlation Surface at 446 5446 .000 .017 .005 .036 .077 .222 .391 .501 .171 .006 .092 .197 .007 .270 .564 .288 .171 .021 .027 .062 .169 .012 .193 .272 .128 .055 .007 .019 .009 .047 .079 .497 .207 .052 .031 .066 .013 .083 .036 .214 1.000 .182 .000 .001 .110 .085 .268 .007 .283 .504 .006 .096 .053 .044 .019 .071 .056 .339 .268 .000 .156 .166 .055 .000 .029 .287 .533 .396 .016 .122 .411 .176 .075 .035 .274 .465 .136 .003 .100 .398 .144 r_peak,r_snr = 9.52082E-02 11.7418 Correlation Surface of oversamples image at 446 5446 .435 .157 .000 .063 .115 .111 .097 .087 .082 .362 .130 .000 .086 .138 .091 .043 .030 .042 .265 .071 .019 .235 .343 .208 .066 .017 .017 .175 .016 .108 .542 .731 .441 .115 .008 .000 .104 .000 .245 .808 1.000 .562 .100 .001 .034 .049 .024 .350 .854 .941 .444 .029 .052 .161 .015 .062 .378 .719 .681 .244 .000 .156 .314 .002 .084 .352 .570 .473 .140 .006 .192 .376 .004 .109 .359 .555 .462 .165 .000 .112 .315 446 -.125 5446 .188 11.74180 .014680 .043742 .008674 Correlation Surface at 546 5446 .381 .346 .415 .575 .590 .546 .423 .374 .250 .397 .349 .377 .444 .519 .565 .460 .353 .192 .395 .374 .417 .463 .668 .774 .486 .251 .130 .425 .468 .525 .591 .910 .935 .497 .224 .101 .509 .657 .626 .645 1.000 .891 .493 .231 .100 .427 .691 .649 .599 .970 .861 .436 .219 .130 .268 .497 .590 .574 .897 .826 .425 .237 .131 .259 .379 .509 .523 .733 .683 .468 .247 .095 .333 .375 .455 .480 .582 .608 .513 .302 .121 r_peak,r_snr = .282126 4.20853 Correlation Surface of oversamples image at 546 5446 .160 .233 .326 .418 .484 .484 .406 .304 .213 .184 .288 .409 .535 .621 .602 .467 .317 .210 .226 .368 .534 .696 .789 .727 .525 .332 .214 .279 .448 .656 .851 .938 .826 .568 .348 .219 .327 .487 .707 .920 1.000 .860 .583 .356 .216 .346 .463 .660 .867 .947 .826 .576 .358 .211 .325 .400 .559 .743 .829 .757 .566 .375 .229 .284 .336 .465 .625 .717 .693 .570 .423 .284 .248 .293 .404 .543 .634 .644 .579 .479 .351 546 -.063 5446 .000 4.20853 .017932 .234376 .012549 Correlation Surface at 646 5446 .004 .038 .029 .101 .289 .518 .519 .308 .276 .017 .098 .171 .378 .444 .552 .554 .216 .079 .013 .077 .439 .605 .372 .423 .452 .039 .004 .008 .039 .419 .639 .534 .534 .381 .010 .031 .000 .001 .217 .846 1.000 .613 .194 .002 .005 .015 .030 .102 .764 .979 .352 .060 .003 .047 .010 .029 .065 .390 .449 .160 .090 .066 .171 .004 .019 .263 .285 .172 .171 .179 .061 .060 .001 .115 .612 .625 .277 .261 .149 .022 .027 r_peak,r_snr = 9.55163E-02 9.47361 Correlation Surface of oversamples image at 646 5446 .332 .388 .409 .437 .423 .371 .326 .286 .214 .409 .478 .497 .529 .521 .455 .384 .328 .259 .355 .484 .587 .686 .705 .618 .492 .389 .299 .222 .422 .650 .852 .904 .773 .563 .395 .271 .112 .340 .655 .931 1.000 .816 .532 .318 .179 .058 .271 .589 .865 .919 .699 .393 .197 .091 .042 .216 .459 .659 .670 .454 .212 .094 .047 .053 .179 .306 .386 .351 .204 .081 .040 .036 .099 .175 .187 .160 .105 .047 .019 .019 .036 646 -.125 5446 -1.469 9.47361 .153511 .171639 .054803 Correlation Surface at 746 5446 .012 .024 .195 .597 .804 .319 .020 .005 .026 .001 .004 .118 .452 .775 .337 .033 .022 .023 .000 .000 .042 .313 .716 .355 .069 .062 .033 .001 .000 .018 .349 .819 .380 .086 .096 .094 .000 .000 .033 .436 1.000 .464 .082 .075 .132 .008 .003 .028 .335 .944 .494 .048 .019 .089 .008 .014 .002 .227 .825 .455 .039 .008 .055 .002 .012 .000 .226 .754 .476 .076 .012 .019 .000 .001 .006 .184 .579 .456 .112 .020 .008 r_peak,r_snr = .2257797 12.98877 Correlation Surface of oversamples image at 746 5446 .010 .060 .210 .463 .651 .562 .300 .105 .033 .007 .069 .264 .579 .765 .599 .283 .084 .024 .008 .090 .336 .711 .898 .673 .301 .081 .020 .014 .109 .382 .786 .991 .759 .354 .098 .020 .018 .110 .369 .763 1.000 .824 .428 .132 .026 .015 .088 .304 .663 .930 .844 .490 .170 .034 .006 .057 .230 .550 .832 .813 .512 .195 .043 .001 .037 .186 .479 .752 .760 .503 .208 .051 .000 .031 .173 .447 .694 .700 .475 .208 .057 746 .000 5446 .313 12.98878 .006059 .109717 -.004745 Correlation Surface at 846 5446 .091 .090 .202 .739 .790 .294 .155 .023 .009 .046 .180 .388 .690 .460 .264 .217 .055 .003 .001 .051 .137 .243 .419 .287 .148 .044 .021 .009 .003 .003 .162 .801 .450 .136 .039 .000 .031 .001 .000 .244 1.000 .597 .180 .088 .001 .005 .043 .006 .453 .968 .485 .149 .111 .009 .061 .070 .009 .476 .772 .401 .174 .032 .001 .005 .002 .023 .268 .656 .619 .269 .000 .018 .002 .001 .012 .199 .685 .913 .363 .002 .063 r_peak,r_snr = 9.64406E-02 7.09012 Correlation Surface of oversamples image at 846 5446 .169 .449 .704 .666 .435 .278 .252 .313 .358 .140 .318 .511 .586 .519 .399 .311 .291 .271 .060 .154 .339 .590 .738 .634 .408 .256 .167 .003 .042 .222 .614 .942 .840 .490 .231 .098 .014 .003 .151 .600 1.000 .915 .539 .238 .078 .048 .001 .119 .543 .912 .859 .548 .271 .100 .053 .000 .120 .483 .762 .706 .474 .270 .126 .029 .007 .166 .480 .655 .548 .351 .209 .112 .006 .052 .280 .557 .628 .451 .247 .132 .070 846 .156 5446 .031 7.09012 .033793 .839218 .080574 Correlation Surface at 946 5446 .000 .015 .093 .373 .373 .010 .078 .003 .007 .045 .001 .014 .119 .333 .076 .020 .028 .197 .037 .001 .021 .121 .403 .153 .003 .047 .210 .001 .001 .035 .277 .877 .330 .008 .033 .015 .015 .001 .002 .073 1.000 .409 .023 .005 .009 .076 .003 .057 .006 .754 .162 .084 .025 .004 .045 .000 .009 .133 .674 .026 .148 .075 .003 .000 .001 .014 .468 .555 .025 .023 .004 .001 .002 .017 .004 .410 .336 .069 .042 .002 .097 r_peak,r_snr = 9.57303E-02 13.41088 Correlation Surface of oversamples image at 946 5446 .062 .137 .240 .346 .355 .205 .052 .000 .023 .056 .132 .265 .442 .513 .340 .113 .008 .016 .076 .180 .369 .626 .721 .475 .153 .009 .017 .087 .211 .458 .801 .909 .568 .155 .003 .025 .048 .160 .438 .861 1.000 .591 .127 .000 .034 .005 .075 .348 .815 .970 .529 .083 .005 .045 .005 .029 .287 .750 .853 .394 .035 .019 .061 .020 .020 .283 .689 .671 .232 .004 .044 .090 .011 .039 .318 .611 .479 .116 .001 .062 .103 946 .375 5446 -1.375 13.41089 .015124 .324711 -.023922 Correlation Surface at 1146 5446 .161 .120 .076 .011 .054 .003 .069 .006 .000 .063 .048 .004 .000 .132 .078 .024 .017 .000 .078 .086 .000 .007 .230 .114 .016 .009 .008 .150 .177 .001 .000 .626 .214 .001 .006 .007 .076 .038 .066 .016 1.000 .222 .012 .002 .008 .002 .001 .163 .004 .524 .028 .116 .048 .021 .027 .002 .055 .000 .072 .005 .081 .002 .020 .079 .003 .007 .013 .007 .003 .040 .263 .143 .015 .008 .000 .029 .030 .005 .130 .262 .072 r_peak,r_snr = .100018 13.69682 Correlation Surface of oversamples image at 1146 5446 .110 .224 .081 .015 .154 .129 .052 .034 .027 .053 .174 .051 .055 .324 .316 .134 .043 .014 .048 .151 .019 .149 .588 .569 .224 .040 .003 .114 .172 .003 .296 .861 .733 .224 .012 .003 .306 .253 .000 .411 1.000 .709 .130 .004 .047 .581 .376 .002 .414 .947 .583 .056 .047 .134 .758 .463 .008 .321 .766 .461 .032 .073 .202 .731 .433 .016 .194 .512 .331 .026 .062 .185 .558 .311 .021 .073 .236 .167 .011 .042 .099 1146 .094 5446 1.031 13.69682 .008509 .052463 .004391 Correlation Surface at 1246 5446 .000 .011 .295 .107 .042 .024 .020 .000 .004 .009 .061 .414 .100 .014 .028 .037 .000 .006 .015 .096 .447 .188 .092 .157 .031 .001 .001 .007 .093 .438 .424 .511 .520 .118 .039 .028 .012 .148 .508 .920 1.000 .695 .253 .097 .064 .004 .118 .432 .872 .542 .206 .115 .127 .131 .004 .025 .225 .334 .078 .001 .023 .118 .177 .007 .022 .251 .245 .028 .005 .020 .011 .052 .011 .026 .238 .242 .067 .040 .001 .016 .005 r_peak,r_snr = .1063561 11.43562 Correlation Surface of oversamples image at 1246 5446 .635 .404 .174 .090 .094 .160 .231 .185 .081 .678 .479 .281 .218 .266 .379 .413 .259 .097 .679 .554 .435 .437 .559 .693 .628 .350 .128 .652 .636 .639 .714 .871 .959 .787 .429 .166 .597 .710 .829 .918 1.000 .987 .786 .448 .192 .497 .720 .889 .907 .850 .756 .609 .376 .189 .358 .637 .779 .708 .557 .436 .352 .242 .159 .246 .532 .621 .489 .308 .192 .146 .120 .119 .211 .488 .529 .353 .168 .072 .048 .058 .089 1246 .313 5446 8.844 11.43563 .330518 .068174 .105454 Correlation Surface at 1346 5446 .067 .028 .002 .154 .630 .310 .284 .125 .020 .008 .014 .006 .129 .498 .163 .064 .045 .096 .031 .005 .039 .268 .447 .127 .027 .042 .179 .000 .025 .201 .367 .655 .317 .064 .110 .288 .018 .079 .206 .421 1.000 .479 .108 .183 .369 .030 .116 .211 .487 .703 .149 .016 .062 .146 .026 .187 .288 .464 .367 .010 .002 .008 .055 .010 .196 .369 .545 .410 .041 .015 .012 .043 .000 .133 .308 .533 .500 .154 .069 .041 .049 r_peak,r_snr = .1251489 11.70093 Correlation Surface of oversamples image at 1346 5446 .013 .029 .306 .695 .712 .397 .149 .065 .058 .014 .132 .420 .721 .700 .395 .146 .063 .060 .130 .277 .519 .780 .775 .472 .193 .084 .067 .232 .336 .544 .838 .903 .611 .289 .124 .076 .228 .297 .509 .861 1.000 .740 .390 .167 .085 .181 .244 .462 .817 .968 .742 .399 .159 .071 .162 .230 .421 .685 .765 .558 .263 .079 .029 .177 .233 .361 .493 .479 .286 .086 .008 .001 .204 .231 .293 .334 .264 .102 .005 .008 .007 1346 -.063 5446 3.688 11.70094 .020126 .060429 .008864 Correlation Surface at 1446 5446 .048 .036 .002 .225 .464 .107 .009 .025 .010 .017 .040 .002 .121 .489 .104 .021 .054 .004 .044 .054 .009 .106 .532 .086 .042 .054 .004 .071 .091 .045 .081 .700 .163 .014 .005 .046 .051 .078 .041 .130 1.000 .367 .003 .005 .055 .040 .040 .020 .101 .716 .266 .002 .002 .000 .077 .095 .076 .006 .266 .101 .008 .054 .027 .101 .204 .098 .005 .227 .130 .000 .021 .027 .076 .163 .048 .043 .284 .202 .036 .009 .087 r_peak,r_snr = .1688733 24.55935 Correlation Surface of oversamples image at 1446 5446 .034 .000 .080 .312 .471 .345 .091 .001 .058 .057 .002 .067 .331 .550 .423 .120 .000 .051 .078 .007 .061 .380 .687 .566 .193 .006 .021 .081 .008 .074 .471 .869 .757 .322 .046 .000 .062 .003 .105 .565 1.000 .899 .451 .117 .014 .037 .000 .127 .563 .949 .864 .475 .160 .034 .023 .000 .101 .417 .704 .653 .372 .129 .024 .023 .000 .046 .225 .419 .410 .229 .065 .003 .034 .004 .011 .105 .240 .257 .136 .026 .001 1446 .156 5446 .125 24.55935 .005108 .037031 -.000863 Correlation Surface at 1546 5446 .056 .003 .007 .074 .094 .020 .008 .004 .007 .008 .289 .157 .058 .218 .027 .000 .002 .003 .077 .272 .100 .080 .528 .228 .006 .000 .021 .019 .000 .005 .131 .766 .279 .001 .003 .024 .009 .039 .004 .117 1.000 .247 .007 .003 .021 .005 .006 .034 .071 .944 .178 .013 .006 .081 .006 .003 .026 .060 .508 .116 .001 .073 .200 .009 .007 .003 .057 .206 .039 .001 .059 .151 .025 .001 .000 .008 .077 .013 .011 .000 .064 r_peak,r_snr = 9.62805E-02 13.12474 Correlation Surface of oversamples image at 1546 5446 .050 .008 .030 .259 .540 .520 .269 .075 .006 .018 .000 .068 .379 .718 .655 .315 .078 .004 .005 .002 .113 .499 .883 .766 .331 .059 .000 .004 .005 .141 .575 .993 .828 .312 .031 .006 .006 .004 .140 .581 1.000 .809 .271 .014 .018 .010 .002 .121 .521 .890 .701 .221 .009 .015 .005 .002 .109 .435 .704 .529 .161 .009 .002 .000 .012 .117 .350 .489 .331 .094 .009 .001 .009 .033 .130 .263 .290 .162 .037 .003 .003 1546 .125 5446 1.250 13.12474 .011938 .486250 .001413 Correlation Surface at 1646 5446 .104 .004 .000 .008 .067 .084 .018 .014 .028 .000 .008 .018 .061 .224 .131 .001 .079 .054 .011 .141 .167 .091 .582 .302 .015 .200 .034 .002 .320 .309 .105 .905 .404 .072 .292 .017 .001 .195 .118 .158 1.000 .354 .082 .207 .009 .000 .051 .007 .267 .952 .322 .026 .076 .008 .003 .004 .000 .310 .934 .380 .002 .045 .013 .001 .001 .025 .123 .791 .330 .011 .150 .091 .022 .079 .205 .008 .536 .274 .013 .195 .315 r_peak,r_snr = .1174088 10.66297 Correlation Surface of oversamples image at 1646 5446 .092 .000 .141 .404 .539 .480 .286 .090 .002 .145 .001 .146 .470 .683 .634 .357 .083 .001 .152 .000 .179 .562 .837 .772 .399 .067 .012 .103 .004 .232 .656 .956 .850 .401 .049 .025 .036 .026 .296 .724 1.000 .847 .368 .037 .026 .003 .061 .345 .743 .967 .774 .315 .031 .016 .002 .086 .356 .715 .883 .669 .266 .032 .005 .006 .085 .329 .656 .783 .572 .234 .036 .000 .005 .066 .280 .578 .687 .500 .211 .037 .000 1646 .094 5446 -4.031 10.66297 .017707 1.533558 .105711 Correlation Surface at 1746 5446 .616 .610 .647 .699 .653 .726 .867 .821 .803 .675 .652 .569 .587 .664 .741 .776 .791 .807 .630 .617 .477 .525 .790 .900 .827 .857 .888 .544 .543 .501 .656 .978 .993 .893 .833 .839 .498 .512 .608 .848 1.000 .935 .936 .813 .758 .504 .494 .609 .750 .789 .796 .883 .744 .713 .512 .470 .558 .645 .709 .783 .828 .715 .722 .488 .488 .569 .685 .840 .825 .802 .779 .765 .512 .535 .609 .810 .992 .829 .802 .825 .790 r_peak,r_snr = .3627105 1.57732 Correlation Surface of oversamples image at 1746 5446 .623 .636 .659 .694 .717 .727 .732 .749 .786 .563 .593 .670 .767 .828 .837 .813 .796 .813 .523 .578 .701 .841 .928 .932 .881 .836 .828 .537 .614 .755 .904 .986 .973 .906 .848 .825 .616 .705 .833 .951 1.000 .968 .901 .848 .819 .726 .816 .908 .972 .979 .939 .891 .850 .819 .810 .892 .942 .952 .927 .895 .873 .845 .809 .838 .907 .923 .894 .854 .838 .840 .819 .774 .825 .878 .871 .823 .780 .778 .796 .780 .726 1746 .438 5446 -.813 1.57732 .050959 .043852 .026683 Correlation Surface at 1846 5446 .048 .001 .045 .205 .330 .206 .355 .172 .001 .135 .016 .034 .236 .352 .288 .440 .225 .052 .034 .017 .015 .272 .630 .563 .572 .422 .265 .000 .003 .007 .314 .906 .776 .706 .608 .237 .017 .021 .001 .331 1.000 .753 .699 .551 .152 .192 .066 .004 .419 .818 .498 .466 .298 .074 .186 .004 .112 .406 .325 .177 .177 .027 .000 .050 .028 .276 .277 .131 .107 .062 .002 .002 .019 .029 .245 .383 .348 .223 .072 .015 .005 r_peak,r_snr = .133702 8.09811 Correlation Surface of oversamples image at 1846 5446 .002 .063 .233 .435 .484 .425 .404 .409 .309 .001 .040 .250 .543 .640 .565 .500 .437 .302 .005 .038 .303 .672 .800 .694 .562 .441 .318 .006 .050 .362 .774 .931 .796 .583 .427 .350 .004 .062 .382 .806 1.000 .839 .554 .393 .375 .003 .066 .368 .783 .989 .795 .479 .342 .379 .001 .081 .369 .748 .905 .675 .382 .293 .361 .003 .121 .396 .686 .733 .492 .273 .234 .300 .037 .208 .434 .580 .513 .306 .174 .165 .206 1846 .000 5446 -2.313 8.09811 .028296 .304466 .043775 Correlation Surface at 1946 5446 .133 .140 .052 .000 .008 .140 .096 .026 .006 .244 .185 .058 .004 .001 .060 .010 .000 .028 .109 .089 .077 .003 .120 .028 .005 .006 .098 .014 .000 .025 .065 .516 .128 .001 .071 .087 .000 .009 .000 .337 1.000 .222 .018 .100 .031 .016 .027 .002 .434 .901 .281 .005 .024 .002 .093 .104 .001 .148 .469 .199 .000 .021 .021 .060 .101 .057 .008 .174 .100 .005 .063 .168 .077 .119 .132 .012 .040 .102 .037 .062 .189 r_peak,r_snr = .1092588 16.41061 Correlation Surface of oversamples image at 1946 5446 .109 .033 .004 .122 .270 .191 .034 .001 .014 .093 .041 .006 .219 .529 .421 .096 .000 .020 .063 .029 .023 .352 .741 .539 .105 .001 .034 .040 .007 .083 .541 .902 .578 .109 .000 .036 .026 .002 .208 .736 1.000 .629 .163 .007 .016 .018 .028 .325 .779 .958 .678 .268 .048 .000 .013 .055 .331 .625 .775 .669 .363 .107 .006 .009 .053 .236 .411 .575 .610 .398 .148 .024 .010 .024 .118 .243 .435 .526 .376 .167 .046 1946 -.063 5446 .156 16.41062 .013756 .087484 .006987 Correlation Surface at 2046 5446 .081 .010 .163 .446 .494 .231 .022 .016 .078 .014 .108 .369 .400 .536 .200 .002 .028 .043 .002 .149 .343 .279 .535 .173 .008 .001 .000 .002 .103 .200 .272 .770 .319 .004 .003 .016 .010 .039 .146 .455 1.000 .441 .045 .003 .013 .083 .001 .179 .711 .869 .326 .026 .001 .010 .201 .000 .245 .556 .572 .199 .006 .004 .011 .117 .018 .238 .253 .363 .274 .048 .038 .011 .033 .059 .147 .126 .217 .298 .153 .089 .008 r_peak,r_snr = .1450139 9.63655 Correlation Surface of oversamples image at 2046 5446 .305 .181 .148 .262 .450 .415 .142 .001 .035 .227 .136 .146 .321 .548 .478 .172 .007 .015 .185 .141 .217 .484 .722 .583 .238 .034 .000 .161 .187 .366 .723 .911 .683 .313 .087 .016 .149 .267 .561 .934 1.000 .700 .339 .121 .037 .152 .351 .696 .986 .935 .618 .292 .099 .026 .173 .398 .693 .875 .789 .509 .222 .056 .007 .212 .393 .581 .700 .658 .445 .189 .036 .001 .242 .331 .418 .520 .554 .429 .204 .043 .003 2046 -.219 5446 -.344 9.63655 .017126 .147216 .021752 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .001 .001 .110 .338 .436 .270 .060 .010 .017 .002 .002 .031 .318 .432 .198 .023 .005 .041 .001 .002 .065 .430 .619 .350 .051 .004 .030 .002 .014 .159 .709 .915 .568 .130 .002 .005 .019 .006 .148 .669 1.000 .577 .165 .014 .005 .041 .000 .064 .356 .730 .393 .104 .057 .026 .010 .000 .050 .301 .595 .324 .077 .074 .060 .003 .016 .067 .348 .740 .444 .103 .058 .062 .022 .018 .054 .304 .912 .605 .108 .056 .069 r_peak,r_snr = .1640371 8.30856 Correlation Surface of oversamples image at 146 5846 .034 .112 .267 .414 .427 .339 .228 .109 .027 .074 .198 .412 .601 .612 .489 .333 .166 .040 .124 .303 .588 .825 .827 .643 .418 .204 .050 .154 .359 .692 .981 .989 .746 .453 .211 .054 .136 .314 .631 .951 1.000 .745 .420 .181 .052 .092 .218 .467 .763 .853 .642 .338 .135 .047 .058 .144 .322 .547 .636 .485 .245 .093 .043 .044 .113 .248 .401 .454 .344 .172 .065 .037 .051 .120 .241 .355 .375 .276 .139 .053 .030 146 -.219 5846 -3.250 8.30856 .024542 .104357 -.010107 Correlation Surface at 246 5846 .019 .039 .087 .233 .337 .126 .041 .061 .009 .002 .046 .143 .354 .592 .269 .049 .038 .075 .104 .099 .102 .320 .761 .338 .045 .009 .051 .178 .226 .170 .408 .863 .231 .023 .000 .000 .172 .254 .350 .733 1.000 .107 .002 .000 .002 .071 .073 .224 .640 .776 .079 .020 .028 .051 .001 .004 .085 .268 .281 .096 .135 .142 .103 .005 .000 .037 .041 .035 .028 .035 .092 .086 .005 .016 .000 .000 .003 .004 .007 .004 .002 r_peak,r_snr = .1256152 14.25755 Correlation Surface of oversamples image at 246 5846 .103 .101 .158 .324 .585 .694 .549 .364 .236 .133 .120 .185 .383 .670 .750 .550 .326 .197 .196 .205 .296 .527 .802 .815 .542 .272 .140 .267 .329 .459 .705 .937 .867 .515 .204 .078 .284 .394 .552 .799 1.000 .877 .466 .140 .035 .210 .328 .487 .728 .941 .831 .418 .110 .024 .098 .194 .333 .546 .762 .707 .371 .115 .044 .031 .101 .208 .356 .505 .491 .296 .136 .099 .010 .065 .140 .208 .257 .251 .190 .139 .154 246 -.406 5846 2.000 14.25755 .016448 .203423 .026834 Correlation Surface at 346 5846 .003 .020 .006 .096 .234 .022 .006 .003 .000 .002 .001 .015 .173 .311 .040 .009 .001 .006 .023 .007 .002 .081 .480 .086 .007 .024 .126 .098 .135 .119 .074 .882 .221 .003 .037 .211 .055 .170 .156 .105 1.000 .238 .009 .016 .121 .003 .046 .061 .088 .743 .174 .022 .000 .080 .020 .062 .080 .072 .626 .115 .062 .051 .001 .089 .179 .121 .087 .579 .063 .089 .095 .017 .155 .217 .083 .073 .295 .029 .045 .007 .002 r_peak,r_snr = .1335885 16.89253 Correlation Surface of oversamples image at 346 5846 .001 .000 .040 .284 .550 .466 .189 .037 .004 .064 .041 .010 .282 .663 .620 .295 .083 .020 .190 .099 .006 .340 .819 .778 .392 .126 .036 .239 .102 .015 .432 .962 .884 .429 .122 .029 .166 .055 .037 .493 1.000 .878 .380 .073 .006 .063 .012 .068 .500 .929 .773 .288 .026 .002 .013 .000 .099 .490 .829 .648 .205 .004 .027 .004 .003 .123 .480 .742 .541 .147 .000 .064 .009 .003 .129 .463 .662 .452 .112 .001 .088 346 .156 5846 .844 16.89253 .006346 .146225 .002749 Correlation Surface at 446 5846 .048 .105 .155 .063 .041 .007 .048 .303 .169 .137 .070 .061 .089 .048 .012 .003 .079 .082 .165 .041 .091 .172 .066 .036 .050 .001 .024 .066 .035 .184 .387 .421 .012 .068 .021 .041 .066 .079 .113 .467 1.000 .167 .036 .003 .075 .042 .026 .001 .162 .674 .190 .001 .028 .038 .003 .003 .011 .050 .260 .058 .007 .020 .021 .005 .000 .001 .128 .222 .024 .001 .007 .101 .027 .010 .012 .181 .376 .183 .027 .036 .144 r_peak,r_snr = .1246544 14.19138 Correlation Surface of oversamples image at 446 5846 .143 .229 .228 .111 .016 .003 .029 .018 .001 .236 .362 .378 .252 .102 .017 .000 .001 .001 .300 .456 .553 .519 .360 .150 .023 .000 .002 .281 .442 .665 .840 .759 .394 .081 .000 .023 .162 .294 .599 .964 1.000 .573 .132 .001 .031 .040 .114 .372 .747 .863 .547 .152 .006 .008 .000 .014 .146 .399 .530 .385 .138 .020 .001 .027 .002 .035 .170 .279 .234 .099 .024 .009 .054 .015 .008 .090 .181 .163 .067 .017 .008 446 -.188 5846 -1.969 14.19138 .012354 .030393 -.006513 Correlation Surface at 546 5846 .444 .392 .397 .423 .635 .610 .409 .441 .496 .465 .454 .412 .376 .516 .625 .541 .587 .566 .325 .471 .471 .441 .583 .666 .610 .549 .452 .293 .490 .458 .515 .779 .749 .582 .450 .367 .376 .471 .396 .582 1.000 .851 .568 .484 .376 .271 .339 .366 .603 .986 .769 .554 .560 .352 .234 .323 .402 .568 .777 .635 .509 .487 .296 .336 .372 .435 .577 .736 .666 .491 .425 .258 .361 .305 .414 .629 .740 .725 .520 .407 .217 r_peak,r_snr = .2492325 2.44191 Correlation Surface of oversamples image at 546 5846 .441 .442 .481 .572 .669 .709 .685 .634 .591 .467 .512 .590 .683 .738 .724 .665 .600 .541 .461 .549 .684 .805 .830 .757 .657 .586 .529 .446 .567 .761 .922 .932 .807 .676 .612 .572 .434 .578 .809 .995 1.000 .844 .699 .650 .645 .427 .581 .809 .986 .987 .834 .693 .666 .705 .430 .573 .762 .897 .895 .773 .660 .651 .720 .459 .571 .696 .780 .782 .706 .630 .629 .697 .524 .588 .647 .694 .712 .677 .629 .621 .663 546 .250 5846 5.188 2.44191 .016062 .083863 .004178 Correlation Surface at 646 5846 .175 .184 .210 .321 .446 .397 .318 .163 .029 .094 .125 .234 .392 .393 .232 .198 .148 .079 .155 .108 .147 .373 .581 .366 .238 .227 .214 .313 .284 .220 .413 .851 .627 .145 .151 .318 .335 .531 .469 .645 1.000 .766 .070 .043 .293 .187 .438 .703 .933 .998 .743 .177 .074 .203 .139 .337 .746 .807 .770 .648 .446 .323 .247 .290 .398 .468 .463 .586 .673 .511 .431 .410 .488 .414 .277 .439 .768 .759 .397 .331 .414 r_peak,r_snr = .1603751 4.64708 Correlation Surface of oversamples image at 646 5846 .086 .032 .014 .052 .202 .396 .465 .372 .171 .273 .184 .140 .210 .401 .591 .651 .533 .248 .427 .392 .391 .501 .693 .827 .834 .668 .314 .453 .536 .633 .787 .944 .995 .919 .708 .353 .383 .564 .725 .884 1.000 .987 .851 .642 .368 .309 .506 .635 .750 .843 .808 .663 .517 .376 .274 .398 .435 .501 .593 .571 .465 .410 .390 .239 .248 .214 .258 .351 .360 .320 .339 .384 .178 .109 .064 .097 .183 .222 .237 .289 .323 646 -2.219 5846 -7.188 4.64708 .084420 .826800 .193463 Correlation Surface at 746 5846 .005 .003 .100 .474 .768 .406 .063 .001 .001 .004 .002 .075 .411 .788 .432 .078 .002 .001 .004 .001 .038 .319 .794 .520 .145 .010 .000 .001 .001 .030 .325 .913 .670 .214 .013 .005 .001 .000 .056 .414 1.000 .722 .188 .005 .010 .006 .002 .068 .468 .941 .580 .122 .002 .006 .006 .008 .038 .380 .741 .373 .063 .000 .005 .006 .018 .004 .214 .505 .249 .052 .004 .000 .012 .023 .000 .135 .421 .288 .095 .033 .007 r_peak,r_snr = .2918677 10.11083 Correlation Surface of oversamples image at 746 5846 .012 .082 .270 .563 .810 .819 .596 .332 .146 .014 .088 .286 .605 .885 .909 .675 .389 .175 .019 .105 .322 .662 .954 .975 .721 .406 .173 .025 .128 .367 .720 1.000 .993 .713 .380 .147 .030 .151 .408 .756 1.000 .947 .646 .323 .116 .029 .161 .418 .738 .931 .836 .537 .252 .085 .022 .144 .374 .646 .788 .677 .411 .179 .054 .011 .100 .281 .497 .604 .505 .290 .116 .029 .002 .052 .181 .349 .436 .358 .195 .071 .015 746 .219 5846 1.094 10.11084 .006558 .160502 .015227 Correlation Surface at 846 5846 .036 .054 .011 .073 .358 .354 .113 .010 .000 .006 .016 .004 .045 .475 .400 .039 .000 .000 .000 .001 .005 .046 .663 .368 .003 .023 .002 .000 .000 .006 .075 .868 .457 .001 .037 .036 .000 .001 .004 .113 1.000 .570 .014 .017 .080 .011 .016 .009 .143 .942 .447 .046 .005 .016 .019 .031 .009 .106 .623 .207 .067 .068 .013 .000 .006 .014 .029 .298 .095 .047 .077 .048 .025 .009 .014 .009 .198 .072 .001 .019 .031 r_peak,r_snr = .1296919 17.24151 Correlation Surface of oversamples image at 846 5846 .007 .000 .056 .352 .676 .629 .343 .110 .008 .003 .001 .088 .420 .763 .714 .394 .126 .013 .001 .006 .132 .503 .866 .812 .450 .151 .028 .004 .010 .175 .589 .964 .887 .482 .172 .052 .013 .010 .202 .639 1.000 .882 .461 .180 .078 .027 .008 .201 .624 .937 .768 .378 .162 .096 .035 .006 .175 .545 .784 .584 .262 .124 .102 .033 .004 .133 .421 .578 .392 .164 .093 .107 .026 .001 .085 .283 .377 .241 .104 .075 .108 846 .156 5846 -.625 17.24151 .010948 .622211 .020957 Correlation Surface at 946 5846 .096 .071 .022 .002 .002 .003 .001 .011 .001 .015 .001 .001 .005 .005 .001 .051 .045 .004 .000 .005 .001 .022 .045 .091 .108 .027 .001 .001 .020 .004 .284 .534 .207 .036 .008 .004 .006 .036 .010 .349 1.000 .134 .001 .015 .001 .026 .006 .057 .107 .634 .082 .007 .064 .033 .143 .100 .013 .024 .186 .015 .006 .092 .038 .006 .042 .000 .015 .034 .019 .012 .013 .005 .036 .003 .045 .002 .005 .033 .009 .000 .030 r_peak,r_snr = 9.94299E-02 16.77678 Correlation Surface of oversamples image at 946 5846 .027 .013 .005 .004 .002 .001 .040 .162 .289 .001 .006 .026 .040 .045 .071 .161 .314 .384 .013 .075 .181 .275 .291 .274 .306 .378 .367 .029 .134 .360 .641 .706 .532 .359 .292 .246 .008 .083 .361 .841 1.000 .653 .284 .141 .110 .004 .009 .205 .728 .969 .587 .178 .049 .038 .038 .007 .068 .453 .700 .423 .113 .025 .027 .057 .031 .010 .199 .364 .236 .075 .027 .042 .036 .026 .000 .061 .126 .090 .039 .026 .058 946 -.094 5846 -1.313 16.77678 .013455 .054167 -.000677 Correlation Surface at 1046 5846 .004 .007 .052 .000 .041 .007 .012 .000 .000 .004 .010 .001 .029 .220 .077 .006 .008 .011 .013 .091 .048 .151 .565 .247 .000 .007 .017 .019 .075 .061 .206 .861 .387 .003 .026 .015 .003 .000 .006 .206 1.000 .337 .000 .040 .010 .072 .024 .000 .214 .664 .153 .000 .018 .012 .038 .001 .006 .115 .229 .079 .001 .018 .014 .000 .008 .002 .023 .105 .045 .000 .010 .001 .012 .017 .001 .037 .102 .003 .002 .009 .030 r_peak,r_snr = .1666009 28.53186 Correlation Surface of oversamples image at 1046 5846 .002 .000 .026 .192 .445 .520 .323 .091 .005 .003 .000 .036 .253 .587 .668 .381 .091 .002 .000 .000 .055 .337 .729 .771 .394 .073 .000 .002 .001 .093 .459 .877 .833 .380 .056 .001 .009 .003 .155 .608 1.000 .841 .344 .044 .002 .014 .012 .228 .704 .995 .742 .275 .033 .001 .007 .029 .267 .648 .795 .538 .186 .023 .000 .000 .045 .231 .451 .494 .320 .113 .016 .000 .003 .041 .136 .229 .246 .172 .070 .011 .000 1046 .094 5846 .188 28.53186 .006124 .057307 .004329 Correlation Surface at 1146 5846 .001 .327 .520 .868 .304 .011 .115 .177 .182 .000 .118 .191 .922 .679 .041 .004 .007 .009 .017 .009 .002 .537 .464 .002 .030 .059 .012 .000 .001 .040 .773 .696 .045 .037 .010 .017 .029 .055 .212 .907 1.000 .363 .062 .020 .002 r_peak,r_snr = 7.98385E-02 6.32312 Correlation Surface of oversamples image at 1146 5846 .323 .284 .304 .442 .519 .368 .130 .012 .001 .220 .172 .258 .564 .831 .680 .291 .057 .005 .056 .044 .160 .575 1.000 .879 .392 .079 .009 .000 .001 .093 .515 .954 .836 .346 .050 .003 .034 .005 .069 .442 .779 .631 .223 .018 .000 .047 .003 .082 .404 .613 .449 .143 .008 .001 .021 .001 .127 .412 .530 .374 .139 .019 .000 1146 -9.344 5846 11.188 6.32312 .138787 .186805 -.098073 Correlation Surface at 1246 5846 .019 .006 .081 .030 .050 .063 .018 .290 .332 .018 .001 .116 .060 .067 .021 .111 .288 .275 .000 .001 .155 .215 .401 .096 .081 .194 .287 .001 .000 .117 .340 .912 .418 .001 .125 .238 .021 .003 .057 .246 1.000 .827 .015 .165 .121 .100 .004 .011 .099 .589 .548 .002 .245 .099 r_peak,r_snr = 9.39206E-02 10.22745 Correlation Surface of oversamples image at 1246 5846 .245 .171 .195 .281 .242 .058 .007 .094 .147 .307 .280 .404 .599 .521 .182 .004 .039 .115 .305 .307 .499 .803 .780 .385 .071 .002 .070 .209 .222 .423 .816 .959 .644 .234 .017 .031 .073 .094 .269 .687 1.000 .855 .415 .064 .011 .002 .014 .138 .506 .877 .864 .463 .078 .009 .031 .001 .062 .328 .615 .632 .326 .039 .020 .114 .018 .029 .189 .341 .337 .150 .006 .048 .172 .027 .016 .108 .170 .151 .057 .000 .075 1246 1.594 5846 13.000 10.22745 .047770 .185018 -.039195 Correlation Surface at 1346 5846 .009 .003 .005 .096 .430 .443 .029 .025 .044 .013 .001 .001 .085 .404 .248 .005 .095 .040 .004 .014 .010 .131 .505 .122 .041 .075 .012 .005 .018 .000 .328 .895 .185 .017 .025 .003 .001 .000 .004 .337 1.000 .355 .008 .018 .005 .001 .002 .001 .129 .567 .329 .019 .056 .004 .000 .000 .002 .023 .179 .107 .001 .090 .002 .001 .004 .021 .000 .025 .003 .009 .029 .005 .002 .026 .024 .004 .001 .000 .000 .001 .004 r_peak,r_snr = .1675488 21.97479 Correlation Surface of oversamples image at 1346 5846 .000 .010 .083 .271 .454 .393 .159 .019 .003 .002 .009 .094 .296 .456 .339 .099 .003 .010 .002 .017 .145 .411 .589 .415 .117 .003 .009 .000 .040 .234 .592 .819 .594 .200 .017 .002 .004 .067 .304 .730 1.000 .764 .312 .057 .002 .011 .076 .302 .713 .978 .793 .388 .115 .019 .014 .062 .227 .534 .747 .658 .389 .162 .046 .009 .033 .122 .295 .439 .438 .313 .164 .056 .002 .008 .040 .116 .197 .233 .195 .115 .041 1346 .031 5846 .719 21.97479 .008192 .044249 -.006137 Correlation Surface at 1446 5846 .008 .015 .028 .002 .133 .009 .044 .073 .014 .026 .033 .087 .000 .225 .062 .013 .022 .012 .020 .023 .070 .014 .491 .193 .000 .006 .008 .001 .007 .037 .064 .818 .277 .005 .020 .005 .009 .000 .023 .117 1.000 .201 .077 .068 .006 .013 .005 .006 .148 .878 .113 .117 .071 .013 .000 .005 .000 .132 .661 .139 .024 .046 .039 .002 .019 .004 .099 .615 .351 .001 .056 .078 .026 .068 .007 .070 .633 .490 .006 .058 .109 r_peak,r_snr = .1581298 18.93983 Correlation Surface of oversamples image at 1446 5846 .088 .048 .000 .130 .364 .356 .155 .024 .001 .068 .026 .014 .239 .550 .499 .212 .034 .000 .056 .011 .046 .389 .768 .638 .236 .020 .010 .050 .004 .087 .537 .944 .707 .199 .001 .064 .044 .001 .120 .622 1.000 .666 .126 .014 .161 .034 .000 .129 .613 .926 .553 .066 .048 .226 .025 .000 .116 .537 .787 .439 .040 .055 .200 .018 .000 .097 .445 .653 .370 .040 .032 .133 .011 .000 .084 .370 .561 .358 .064 .008 .085 1446 .031 5846 -1.063 18.93983 .005407 .164292 .012183 Correlation Surface at 1646 5846 .015 .022 .005 .014 .205 .096 .003 .004 .051 .010 .033 .007 .137 .508 .160 .010 .032 .000 .019 .041 .001 .297 .633 .100 .037 .060 .031 .054 .031 .002 .321 .904 .128 .050 .104 .109 .050 .012 .001 .300 1.000 .142 .076 .156 .105 .037 .003 .001 .182 .692 .064 .125 .178 .129 .034 .002 .001 .085 .457 .036 .111 .211 .236 .003 .045 .008 .083 .414 .062 .028 .094 .211 .000 .046 .006 .102 .524 .160 .000 .015 .098 r_peak,r_snr = .1358501 17.25409 Correlation Surface of oversamples image at 1646 5846 .014 .011 .191 .526 .624 .357 .063 .008 .098 .002 .033 .247 .590 .688 .400 .073 .007 .100 .000 .050 .277 .649 .792 .490 .104 .004 .101 .001 .056 .296 .719 .927 .603 .139 .002 .108 .001 .056 .303 .761 1.000 .652 .147 .004 .123 .001 .054 .288 .724 .933 .583 .114 .010 .137 .002 .050 .251 .612 .762 .449 .071 .018 .141 .002 .044 .201 .478 .583 .325 .039 .027 .140 .002 .037 .163 .386 .464 .241 .020 .034 .138 1646 -.031 5846 -.438 17.25410 .007158 .118775 -.001174 Correlation Surface at 1746 5846 .057 .033 .016 .047 .013 .003 .001 .005 .006 .155 .030 .000 .001 .001 .092 .132 .048 .008 .261 .049 .002 .032 .180 .526 .521 .181 .022 .225 .088 .000 .110 .629 .961 .639 .232 .043 .268 .074 .007 .163 1.000 .903 .511 .221 .188 .470 .116 .001 .276 .822 .465 .244 .104 .248 .764 .259 .039 .287 .465 .218 .031 .013 .027 .704 .278 .014 .353 .464 .085 .006 .050 .008 .238 .104 .001 .107 .186 .036 .170 .290 .002 r_peak,r_snr = 7.63530E-02 7.0139 Correlation Surface of oversamples image at 1746 5846 .031 .029 .040 .062 .107 .183 .287 .335 .259 .075 .112 .185 .291 .404 .477 .509 .466 .334 .086 .167 .348 .593 .740 .713 .619 .502 .341 .059 .168 .469 .849 .956 .783 .597 .464 .308 .035 .158 .553 .987 1.000 .725 .521 .408 .276 .022 .149 .552 .910 .842 .588 .436 .363 .254 .015 .133 .454 .656 .563 .411 .339 .300 .208 .012 .119 .324 .389 .304 .233 .208 .177 .109 .012 .113 .224 .201 .119 .081 .068 .043 .017 1746 -.750 5846 -10.000 7.01390 .068854 .263386 .069289 Correlation Surface at 1846 5846 .025 .306 .285 .001 .004 .000 .006 .188 .519 .029 .376 .227 .045 .036 .005 .010 .117 .460 .001 .045 .017 .099 .121 .004 .049 .019 .554 .186 .056 .000 .278 .530 .087 .018 .037 .806 .397 .152 .031 .648 1.000 .468 .049 .402 .885 .424 .180 .015 .185 .271 .356 .394 .969 .639 .131 .002 .001 .021 .003 .101 .441 .921 .499 r_peak,r_snr = 7.84820E-02 7.74183 Correlation Surface of oversamples image at 1846 5846 .007 .010 .008 .078 .094 .038 .000 .014 .010 .017 .004 .037 .186 .250 .150 .026 .001 .004 .009 .003 .131 .412 .539 .365 .107 .006 .001 .000 .052 .311 .721 .877 .607 .219 .028 .000 .013 .133 .464 .880 1.000 .711 .301 .065 .010 .032 .163 .432 .721 .803 .624 .326 .121 .063 .033 .111 .239 .385 .477 .445 .303 .187 .171 .021 .040 .075 .140 .231 .272 .242 .226 .274 .013 .008 .014 .043 .105 .151 .178 .231 .315 1846 -4.125 5846 11.938 7.74183 .080607 .040469 -.016660 Correlation Surface at 1946 5846 .061 .086 .004 .110 .012 .312 .024 .008 .000 .189 .144 .034 .291 .038 .018 .002 .063 .083 .375 .338 .373 .534 .196 .059 .042 .129 .135 .362 .646 .627 .613 .610 .267 .029 .072 .077 .382 .654 .406 .778 1.000 .403 .001 .005 .041 .419 .371 .204 .585 .559 .098 .031 .041 .003 .123 .071 .148 .324 .209 .003 .026 .023 .003 .007 .003 .311 .568 .262 .031 .002 .002 .004 .008 .007 .590 .727 .206 .069 .046 .006 .021 r_peak,r_snr = 7.50375E-02 8.44972 Correlation Surface of oversamples image at 1946 5846 .308 .108 .079 .203 .542 .961 .911 .303 .001 .057 .020 .075 .388 .993 1.387 1.009 .269 .005 .002 .001 .092 .705 1.625 1.883 1.135 .287 .025 .007 .002 .342 1.586 2.729 2.522 1.257 .294 .047 1946 3.469 5846 12.875 8.44972 .094597 .098958 .017489 Correlation Surface at 2046 5846 .004 .012 .044 .001 .521 .748 .022 .263 .282 .026 .168 .359 .054 .490 .635 .007 .084 .055 .118 .408 .542 .065 .531 .585 .022 .012 .027 .156 .361 .293 .021 .937 .691 .052 .045 .100 .052 .150 .106 .130 1.000 .658 .050 .125 .135 .011 .063 .057 .081 .607 .315 .001 .182 .135 .019 .044 .047 .031 .267 .055 .050 .106 .070 .037 .073 .065 .014 .102 .000 .023 .022 .009 .038 .040 .020 .002 .024 .002 .018 .052 .013 r_peak,r_snr = .1007859 11.36794 Correlation Surface of oversamples image at 2046 5846 .648 .465 .140 .007 .258 .416 .257 .088 .006 .494 .190 .000 .276 .808 .814 .474 .199 .030 .167 .008 .101 .527 .923 .868 .604 .337 .090 .007 .046 .259 .601 .892 .877 .669 .395 .102 .001 .079 .315 .681 1.000 .937 .635 .294 .034 .000 .075 .306 .677 .937 .784 .431 .119 .001 .001 .065 .241 .515 .652 .482 .196 .012 .053 .000 .026 .130 .301 .369 .224 .043 .014 .139 .011 .000 .032 .124 .158 .057 .001 .082 .166 2046 .156 5846 1.594 11.36795 .023850 .189735 .029585 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2380839 29.59553 146 -.094 3046 .188 29.59553 .003327 .008460 .000388 r_peak,r_snr = .1791855 43.5481 246 -.250 3046 .188 43.54810 .004705 .014450 .001118 r_peak,r_snr = .1333808 29.79374 346 .031 3046 .125 29.79374 .006982 .009985 -.000993 r_peak,r_snr = .2540477 59.66598 446 -.063 3046 .000 59.66599 .002468 .005811 -.000478 r_peak,r_snr = .3613909 24.65249 546 -.063 3046 -.094 24.65249 .001805 .004697 -.000222 r_peak,r_snr = .2613586 30.48963 646 .094 3046 .031 30.48963 .003190 .011593 .000089 r_peak,r_snr = .2233842 32.54571 746 -.250 3046 -.156 32.54571 .003515 .007355 -.000063 r_peak,r_snr = .3540239 52.44841 846 -.156 3046 .125 52.44841 .001158 .004404 .000181 r_peak,r_snr = .3002956 52.38606 946 .031 3046 .125 52.38607 .001865 .004973 .000020 r_peak,r_snr = .3085516 75.54766 1046 .031 3046 .000 75.54767 .001557 .003660 .000121 r_peak,r_snr = .2945038 51.99593 1146 -.063 3046 .063 51.99594 .002249 .004861 -.000043 r_peak,r_snr = .2799164 25.65544 1246 -.031 3046 -.031 25.65544 .003241 .005787 .000430 r_peak,r_snr = .2752919 53.72912 1346 .031 3046 .031 53.72913 .002420 .005499 .000140 r_peak,r_snr = .2226349 34.65615 1446 .125 3046 -.031 34.65615 .002992 .007054 .000839 r_peak,r_snr = .2442029 47.0846 1546 .000 3046 -.250 47.08461 .002815 .007794 .000481 r_peak,r_snr = .1942719 24.69715 1646 -.031 3046 .188 24.69716 .003828 .013525 .001843 r_peak,r_snr = .123833 30.49252 1746 .031 3046 .188 30.49253 .004714 .013823 .000052 r_peak,r_snr = .2368808 39.61408 1846 -.094 3046 -.125 39.61408 .002691 .007395 .000108 r_peak,r_snr = .2236551 37.03409 1946 -.250 3046 .094 37.03410 .004693 .011802 .001538 r_peak,r_snr = .2058569 23.6487 2046 .031 3046 -.094 23.64870 .003394 .015034 .001404 At line = 3400 Reading in data.... r_peak,r_snr = .2504011 23.68839 146 .125 3446 .156 23.68839 .004190 .009776 .000141 r_peak,r_snr = .2128419 56.78712 246 -.063 3446 -.125 56.78712 .003749 .004713 -.000291 r_peak,r_snr = .1821688 39.74972 346 .063 3446 .156 39.74973 .005327 .009267 .001848 r_peak,r_snr = .2112826 27.28281 446 -.125 3446 .219 27.28281 .005842 .008245 -.000501 r_peak,r_snr = .3372689 24.78862 546 .094 3446 .063 24.78863 .002301 .003478 .000028 r_peak,r_snr = .311223 12.47136 646 .063 3446 .156 12.47136 .002630 .018075 -.000874 r_peak,r_snr = .2604566 48.26159 746 .000 3446 -.031 48.26159 .002461 .006833 .000110 r_peak,r_snr = .3068225 83.9419 846 .094 3446 .094 83.94191 .001516 .003465 .000195 r_peak,r_snr = .3516169 79.06408 946 .031 3446 -.156 79.06409 .001292 .003071 .000098 r_peak,r_snr = .2771786 43.42051 1046 -.031 3446 -.063 43.42052 .002251 .005237 .000140 r_peak,r_snr = .2727611 71.23072 1146 .000 3446 -.125 71.23072 .001900 .005859 .000443 r_peak,r_snr = .2756257 45.90334 1246 .063 3446 -.031 45.90334 .002150 .005639 .000544 r_peak,r_snr = .209981 27.98234 1346 .094 3446 .000 27.98234 .004236 .011687 .000394 r_peak,r_snr = .2731074 45.97328 1446 .031 3446 -.094 45.97328 .002172 .004705 .000444 r_peak,r_snr = .3156583 52.23523 1546 .031 3446 -.094 52.23524 .001666 .006006 .000391 r_peak,r_snr = .3021922 77.46557 1646 .094 3446 -.031 77.46558 .001582 .004423 .000398 r_peak,r_snr = .2377007 29.0374 1746 -.063 3446 .156 29.03741 .002944 .016288 .001342 r_peak,r_snr = .3313168 46.22652 1846 .000 3446 .031 46.22652 .001468 .007527 .000302 r_peak,r_snr = .1068978 13.62416 1946 -.031 3446 -.250 13.62417 .011814 .044591 -.005277 r_peak,r_snr = .2191719 35.48782 2046 .188 3446 -.375 35.48782 .002766 .018328 .000595 At line = 3800 Reading in data.... r_peak,r_snr = .3005791 34.66522 146 .031 3846 .313 34.66522 .003047 .005384 .000321 r_peak,r_snr = .14132 31.11762 246 .094 3846 -.188 31.11763 .006193 .018132 .000396 r_peak,r_snr = .2661608 12.12267 346 .094 3846 .250 12.12267 .003828 .005907 .000638 r_peak,r_snr = .2092351 34.51899 446 -.188 3846 -.031 34.51899 .004236 .005516 -.000205 r_peak,r_snr = .489348 26.14422 546 -.094 3846 -.031 26.14423 .001047 .002177 .000031 r_peak,r_snr = .4887448 12.66155 646 -.031 3846 -.125 12.66155 .001248 .003755 .000011 r_peak,r_snr = .2622401 35.93499 746 .188 3846 -.313 35.93500 .002752 .011624 .000896 r_peak,r_snr = .3011569 74.96015 846 .000 3846 -.188 74.96016 .001758 .004273 .000462 r_peak,r_snr = .4313248 7.21455 946 .125 3846 -.094 7.21455 .001842 .005413 .000460 r_peak,r_snr = .4060451 52.32758 1046 .000 3846 -.063 52.32758 .001044 .002559 .000269 r_peak,r_snr = .2309861 43.74504 1146 .219 3846 .156 43.74505 .003350 .007085 .000029 r_peak,r_snr = .1871716 39.624 1246 .156 3846 -.125 39.62401 .004143 .010084 .001525 r_peak,r_snr = .2290786 21.53295 1346 .125 3846 .031 21.53296 .004434 .026764 .000515 r_peak,r_snr = .2470813 55.38903 1446 -.031 3846 -.188 55.38903 .002132 .008974 .000636 r_peak,r_snr = .1770453 23.27455 1546 .000 3846 -.219 23.27456 .005689 .019100 .000532 r_peak,r_snr = .3199887 43.49263 1646 .125 3846 -.313 43.49264 .002137 .005281 .000463 r_peak,r_snr = 9.98139E-02 17.05195 1746 -.125 3846 .313 17.05196 .011630 .025040 .002191 r_peak,r_snr = .3053281 45.42936 1846 -.094 3846 .031 45.42937 .002114 .006124 .000347 r_peak,r_snr = .128938 26.03694 1946 -.063 3846 -.063 26.03695 .009066 .046680 -.005582 r_peak,r_snr = .1271044 14.84504 2046 .125 3846 .000 14.84505 .013815 .050162 -.005345 At line = 4200 Reading in data.... r_peak,r_snr = .2575227 49.37174 146 .031 4246 -.063 49.37175 .002514 .005399 -.000018 r_peak,r_snr = .1584401 39.08498 246 -.031 4246 -.156 39.08498 .004888 .011670 .000386 r_peak,r_snr = .1778601 20.27916 346 -.031 4246 .000 20.27917 .006041 .015634 -.000413 r_peak,r_snr = .221962 61.65985 446 .156 4246 -.156 61.65986 .003922 .006541 .000735 r_peak,r_snr = .3820199 20.91518 546 .031 4246 -.031 20.91518 .001646 .005149 .000258 r_peak,r_snr = .5295358 6.05317 646 -.125 4246 .063 6.05317 .001778 .003133 .000171 r_peak,r_snr = .3601069 26.63036 746 -.219 4246 -.094 26.63036 .001772 .005886 -.000173 r_peak,r_snr = .2715435 63.57151 846 -.094 4246 .125 63.57152 .002166 .004226 .000356 r_peak,r_snr = .2221857 47.81854 946 -.063 4246 -.031 47.81854 .002612 .007514 -.000104 r_peak,r_snr = .2335431 44.95817 1046 .000 4246 .000 44.95817 .002596 .005465 .000407 r_peak,r_snr = .174934 38.49346 1146 .125 4246 -.125 38.49346 .005106 .009906 .001689 r_peak,r_snr = .2841835 29.65148 1246 .094 4246 .125 29.65149 .002273 .008481 .000654 r_peak,r_snr = .2008728 26.53153 1346 .031 4246 -.188 26.53154 .003642 .017815 -.000381 r_peak,r_snr = .1959591 34.29308 1446 .031 4246 .250 34.29309 .003771 .017564 -.001652 r_peak,r_snr = .1751541 34.82397 1546 .031 4246 .125 34.82397 .004063 .010576 .000928 r_peak,r_snr = .1124497 20.68424 1646 -.844 4246 3.344 20.68425 .010920 .012168 .002140 r_peak,r_snr = .1414903 25.04188 1746 .000 4246 -.188 25.04189 .007696 .014405 -.002392 r_peak,r_snr = .1975928 28.91114 1846 .094 4246 -.094 28.91114 .004438 .016676 .001441 r_peak,r_snr = .2440223 11.84345 1946 -.094 4246 .031 11.84346 .007354 .013920 .002374 r_peak,r_snr = .2396596 12.84388 2046 .000 4246 -.125 12.84388 .004243 .022585 -.000110 At line = 4600 Reading in data.... r_peak,r_snr = .2850375 19.34191 146 .125 4646 .063 19.34191 .003463 .005072 -.000428 r_peak,r_snr = .1533706 33.73378 246 -.094 4646 -.375 33.73379 .004996 .020970 -.002140 r_peak,r_snr = .185773 21.51698 346 -.156 4646 -.125 21.51699 .008706 .013471 -.003113 r_peak,r_snr = .1529255 33.02223 446 .250 4646 .063 33.02224 .006368 .014570 .002042 r_peak,r_snr = .3740437 7.6874 546 -.125 4646 .063 7.68740 .002111 .003500 -.000199 r_peak,r_snr = .2316724 46.13284 646 -.031 4646 -.063 46.13285 .003478 .006270 .000522 r_peak,r_snr = .4241763 25.50561 746 .031 4646 .094 25.50562 .001040 .004447 .000293 r_peak,r_snr = .3065157 58.91502 846 .031 4646 -.313 58.91503 .002024 .004078 .000258 r_peak,r_snr = .2943357 60.63766 946 .094 4646 -.188 60.63766 .001673 .004234 .000064 r_peak,r_snr = .3085052 79.58728 1046 .000 4646 -.125 79.58729 .001835 .003376 .000195 r_peak,r_snr = .2211966 80.64463 1146 .063 4646 .094 80.64464 .002655 .005767 -.000139 r_peak,r_snr = .331686 60.75464 1246 .063 4646 .125 60.75465 .001653 .003844 .000299 r_peak,r_snr = .2161807 34.52711 1346 .031 4646 .000 34.52711 .003350 .011054 .000462 r_peak,r_snr = .2243831 24.55021 1446 .031 4646 -.188 24.55022 .003299 .012178 .001021 r_peak,r_snr = .2538576 59.3872 1546 .094 4646 -.219 59.38720 .002672 .005306 .000477 r_peak,r_snr = .192253 38.33887 1646 .156 4646 -.656 38.33887 .005838 .010450 .001228 r_peak,r_snr = .1628971 38.07881 1746 .063 4646 -.031 38.07882 .004840 .020131 .000331 r_peak,r_snr = .1523641 26.35661 1846 -.156 4646 .219 26.35661 .006267 .025608 .002035 r_peak,r_snr = .2289703 38.59552 1946 .000 4646 -.063 38.59552 .003462 .007888 .000405 r_peak,r_snr = .1947804 41.3002 2046 .000 4646 -.219 41.30020 .003873 .012752 .000182 At line = 5000 Reading in data.... r_peak,r_snr = .269792 13.06162 146 .188 5046 .063 13.06163 .004490 .010402 -.000465 r_peak,r_snr = .1739415 24.79523 246 -.219 5046 -.281 24.79524 .004776 .012078 .000721 r_peak,r_snr = .1861747 46.12775 346 -.219 5046 .063 46.12775 .003738 .007826 .000563 r_peak,r_snr = .1936518 39.45212 446 .125 5046 -.188 39.45213 .003877 .009978 .000722 r_peak,r_snr = .4207538 7.1603 546 .031 5046 .063 7.16030 .002235 .003285 -.000188 r_peak,r_snr = .2257597 37.81131 646 .000 5046 .219 37.81131 .004366 .006432 -.000507 r_peak,r_snr = .3066704 39.77531 746 -.063 5046 .031 39.77531 .001649 .006178 .000354 r_peak,r_snr = .2913332 56.70704 846 .250 5046 .031 56.70705 .002028 .004148 -.000010 r_peak,r_snr = .2599824 61.86602 946 -.156 5046 -.031 61.86602 .002056 .004274 .000230 r_peak,r_snr = .2522107 67.55666 1046 .031 5046 -.188 67.55666 .002235 .004308 .000390 r_peak,r_snr = .2738397 29.56876 1146 .063 5046 .000 29.56877 .002688 .004155 .000304 r_peak,r_snr = .2330331 50.32378 1246 .031 5046 -.250 50.32378 .002844 .011234 .000837 r_peak,r_snr = .1759275 14.4797 1346 -.156 5046 -.375 14.47970 .005498 .032354 .003646 r_peak,r_snr = .2333647 25.55113 1446 .188 5046 .469 25.55113 .005974 .016625 -.001109 r_peak,r_snr = .2944819 62.70499 1546 -.031 5046 -.031 62.70499 .001769 .005188 .000310 r_peak,r_snr = .2748832 36.82629 1646 .125 5046 -.031 36.82629 .002199 .010052 .000467 r_peak,r_snr = .2944668 3.5657 1746 .344 5046 .906 3.56570 .009421 .040861 .002765 r_peak,r_snr = .1568995 21.97423 1846 .188 5046 .406 21.97424 .006190 .032709 .002409 r_peak,r_snr = .1281516 11.71688 1946 3.844 5046 2.438 11.71689 .007581 .055791 -.000815 r_peak,r_snr = .1325313 18.45448 2046 .000 5046 -.188 18.45449 .006888 .024112 -.001918 At line = 5400 Reading in data.... r_peak,r_snr = .333952 13.19888 146 -.063 5446 -.031 13.19888 .002599 .005322 .000275 r_peak,r_snr = .2528647 58.96567 246 .063 5446 .188 58.96568 .001992 .007194 -.000409 r_peak,r_snr = .1680828 45.23092 346 .031 5446 .000 45.23092 .004700 .007536 -.000029 r_peak,r_snr = .1754067 38.8558 446 -.094 5446 -.188 38.85581 .003965 .012074 .001047 r_peak,r_snr = .3424459 6.44708 546 -.125 5446 -.125 6.44708 .003929 .008407 .000285 r_peak,r_snr = .2607541 59.83105 646 .031 5446 .063 59.83105 .002481 .003668 -.000020 r_peak,r_snr = .4222834 35.9618 746 .063 5446 .156 35.96181 .001308 .002909 -.000129 r_peak,r_snr = .3423291 65.91059 846 .000 5446 -.063 65.91060 .001317 .002329 .000045 r_peak,r_snr = .3001156 79.89311 946 -.031 5446 -.063 79.89311 .001598 .003162 .000149 r_peak,r_snr = .235562 52.55477 1046 .063 5446 .188 52.55477 .002890 .008456 .001062 r_peak,r_snr = .2795167 71.99071 1146 .031 5446 .063 71.99072 .001894 .003491 .000324 r_peak,r_snr = .2178159 54.85115 1246 .094 5446 -.031 54.85115 .003769 .010018 .000836 r_peak,r_snr = .2411077 26.41744 1346 -.031 5446 .031 26.41744 .002988 .009210 .000078 r_peak,r_snr = .2371887 45.60812 1446 .156 5446 .000 45.60813 .003405 .008769 .000259 r_peak,r_snr = .2645521 48.58982 1546 .000 5446 .031 48.58982 .001983 .006464 .000081 r_peak,r_snr = .217767 22.08236 1646 -.156 5446 -.156 22.08237 .003506 .021058 .000473 r_peak,r_snr = .4866691 2.07955 1746 -.125 5446 .063 2.07955 .004699 .011206 .000803 r_peak,r_snr = .1469386 11.34018 1846 -.063 5446 -.281 11.34018 .016270 .110563 .026035 r_peak,r_snr = .1724192 39.71223 1946 -.188 5446 .063 39.71223 .006280 .012305 .001999 r_peak,r_snr = .268832 28.37167 2046 -.031 5446 -.125 28.37168 .002504 .007546 .000282 At line = 5800 Reading in data.... r_peak,r_snr = .3276415 40.93444 146 -.188 5846 .188 40.93444 .001905 .004199 .000058 r_peak,r_snr = .3037634 63.408 246 .125 5846 -.031 63.40800 .002300 .003648 .000282 r_peak,r_snr = .3165908 64.48783 346 -.063 5846 .063 64.48783 .001431 .004253 .000263 r_peak,r_snr = .2291056 40.25387 446 -.125 5846 -.063 40.25388 .003613 .006549 .000233 r_peak,r_snr = .264973 5.12664 546 .188 5846 -.031 5.12664 .004593 .012586 .001014 r_peak,r_snr = .2448018 19.04491 646 .031 5846 .031 19.04492 .003210 .006421 -.000126 r_peak,r_snr = .4127976 16.13015 746 .000 5846 -.063 16.13016 .001473 .005102 .000252 r_peak,r_snr = .3402127 75.15057 846 .031 5846 -.031 75.15057 .001299 .003068 .000170 r_peak,r_snr = .2374025 58.2849 946 -.063 5846 .063 58.28490 .002381 .005190 .000413 r_peak,r_snr = .2553998 65.37296 1046 .000 5846 .000 65.37296 .002233 .003971 -.000026 r_peak,r_snr = .1947387 46.8633 1146 .188 5846 .125 46.86330 .003398 .009525 .000287 r_peak,r_snr = .2922656 48.48909 1246 -.125 5846 .000 48.48910 .002284 .005657 .000326 r_peak,r_snr = .2607516 39.50299 1346 .000 5846 .281 39.50299 .002668 .011238 -.000741 r_peak,r_snr = .3142913 48.7969 1446 .000 5846 .000 48.79690 .001533 .007187 .000121 r_peak,r_snr = .1086168 12.96741 1546 .094 5846 -.969 12.96741 .011552 .050464 -.003700 r_peak,r_snr = .3333628 58.56464 1646 -.063 5846 .063 58.56464 .001361 .004933 .000359 r_peak,r_snr = .218109 35.72165 1746 .094 5846 .156 35.72166 .003266 .017016 .001543 r_peak,r_snr = .1650238 30.07987 1846 .188 5846 -.250 30.07988 .004946 .010823 .001477 r_peak,r_snr = .1570518 30.42944 1946 -.063 5846 -.219 30.42945 .007066 .021167 .000942 r_peak,r_snr = .2138062 40.61296 2046 -.094 5846 -.188 40.61296 .003279 .016226 .001348 ************************************************* ***** 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 94055 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 94055 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 94055 FOUND CALIB SET 94055 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: 83.69999 -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: 83.70 deg Receiver phase difference is -51.50 deg Transmitter phase difference is 32.20 deg Cable phase difference is 70.38 deg Reading data to estimate cross-talk. 256 512 768 1024 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 1024 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 rm: /data12/airops/hd5283.log non-existent Tue May 5 19:25:09 PDT 1998 Tue May 5 19:25:09 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: - - - - - - - - - - - - - - - - - - - - - With 1min to go, the waypoints switched causing some slight moti onng in turn, looks OK now; no drift, very smooth, winds 239 at 10kts; CPA @ 15:57:57 IDR=185650 FC=3,455,696 drft 0.1; no RFI upbrick, 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: 94055 94055 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5283 prod ID1:*5283*5283* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94055 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.30 2 7 5 14 12 4 >> start range = 8454.1485 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 2 7 5 14 12 4 Done decoding data from header array... Data collected on ==> 28-JUL-1994 Starting and end GPS times for SAR data -171316144.1290 -171316094.4100 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02511 -.60223 .33087 .1030186 0 ca .00148 -.14996 .13687 .0345836 0 aa -.01896 -.07379 .02023 .0173363 0 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87667 53.96667 .0258379 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58750 -.70000 -.40000 .0901388 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8217.74023 8220.54004 .6869713 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171316144.128886 -171316144.129 GPS trend coefficients = -1.42010488906122 4.16945907003871 -1.99895860812498 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02511 -.60223 .33087 .1030185 0 ca .00148 -.14996 .13687 .0345836 0 aa -.01896 -.07379 .02023 .0173363 0 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 delx .25720 .25714 .25722 .0000162 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87833 53.96667 .0258334 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58719 -.70000 -.40000 .0904411 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8219.07053 8220.12288 .2413959 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00395 -.58349 .35141 .1073023 0 ca .00149 -.15025 .13714 .0352738 0 aa -.01934 -.07393 .02027 .0175728 0 Average Barometric Altitude = 7949.799791250045 Average Radar Altitude = 7769.374383749964 Average GPS Altitude = 8219.688476562473 >>Record # : 64 >>GPS Stuff = 2.30 2 7 5 14 1 >>Record # : 40960 >>GPS Stuff = 2.30 2 7 5 14 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.786884683440348E-04 Standard deviation of difference = 4.659711531351848E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9051514 -104.5469666 8219.648 End position = 53.9510384 -104.5736160 8219.845 Loxodromic Heading (deg) = -18.9192703 Loxodromic Distance (km) = 5399.0677095 Geodesic Heading (deg) = -18.9085032 Geodesic Distance (km) = 5399.0676483 Peg latitude and longitude = 53.9290161 -104.5608292 Peg heading = -18.9051483 Rotation matrix First row = -.148025618 -.121347904 -.981510623 Second row = -.569876003 .821582038 -.015630000 Third row = .808288165 .557025710 -.190768448 Translation vector Vector = -1974.48242 -7601.45550 -23806.15862 Local Radius of Curvature = 6378791.961001683 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2591878148260971 Delta s on reference surface = .2591878161798524 Making fits... Vertical fit coefficients = 8219.164516372755 .2273420806117201 2.190101594852222E-04 Cross track fit coefficients = -2.07452633470147 7.915281644957327E-02 1.192673375214600E-03 Along track fit coefficients = -5353.26609043967 216.3166763896361 5.179627030172717E-03 Miscellaneous Information Start range = 8454.1485 Start ground range = 3333.083939114361 Time orgin = -171316144.128886 Pulse spacing = .2572031263136548 First frame = 4121520 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/cm5283_l.par Enter the raw data file name. /data2/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5283_l.mocomph Enter a file name for the range spectrum: /data2/airops/db_l_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (25.93841,.0) (39.90524,.0) (3.99052,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 42384.34 Pulse#/64: 65 1073 44245.17 Pulse#/64: 129 1073 50863.32 Pulse#/64: 193 1073 57720.89 Pulse#/64: 257 1073 45691.14 Estimate Caltone : 1160 -----CalTone Estimate Position --- CalTone Bin at : 1160 1073 CalTone Bin offset : -87 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.91508Power RMS: 1.48758 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 200.367Amp. RMS: 34.61913 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -46.4652Phase RMS: 213.1058 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.08469 CalTone Power Coherently dB : 45.91508 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.08469 Incoherent PW - Coherent PW : 36.16961 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12680.79 CalTone Amplitude Coherently : 200.367 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12480.43 ------------ *** ------------ running time (sec): 65.43 ********** 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/cm5283_l.par Enter the raw data file name. /data2/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5283_l.mocompv Enter a file name for the range spectrum: /data2/airops/db_l_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-30.0,.0) (40.0,.0) (-44.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 47773.87 Pulse#/64: 65 1073 41594.55 Pulse#/64: 129 1073 40209.32 Pulse#/64: 193 1073 56133.54 Pulse#/64: 257 1073 48768.24 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.16022Power RMS: 1.11727 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 204.7281Amp. RMS: 23.94247 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 85.6292Phase RMS: 255.0047 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.30796 CalTone Power Coherently dB : 46.16022 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.30796 Incoherent PW - Coherent PW : 36.14774 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 13054.49 CalTone Amplitude Coherently : 204.7281 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12849.76 ------------ *** ------------ running time (sec): 64.76 ********** 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/cm5283_l.par Enter the raw data file name. /data2/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5283_l.mocomph Enter a file name for the range spectrum: /data2/airops/db_l_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-45.0,.0) (33.0,.0) (-12.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 46879.93 Pulse#/64: 65 1073 37800.89 Pulse#/64: 129 1073 35230.19 Pulse#/64: 193 1073 45456.43 Pulse#/64: 257 1073 33616.58 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.97052Power RMS: .989076 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 200.2633Amp. RMS: 27.31149 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 14.62326Phase RMS: 253.5803 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.03433 CalTone Power Coherently dB : 45.97052 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.03433 Incoherent PW - Coherent PW : 36.0638 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12651.58 CalTone Amplitude Coherently : 200.2633 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12451.31 ------------ *** ------------ running time (sec): 65.08 ********** 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/cm5283_l.par Enter the raw data file name. /data2/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5283_l.mocompv Enter a file name for the range spectrum: /data2/airops/db_l_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_l_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_l_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_l_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (53.87208,.0) (.0,.0) (-73.8247,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 54016.98 Pulse#/64: 65 1073 51954.56 Pulse#/64: 129 1073 38189.26 Pulse#/64: 193 1073 53218.21 Pulse#/64: 257 1073 38209.54 Estimate Caltone : 1366 -----CalTone Estimate Position --- CalTone Bin at : 1366 1073 CalTone Bin offset : -293 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.05532Power RMS: 2.00469 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 204.7461Amp. RMS: 35.24662 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 47.30337Phase RMS: 257.9976 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.38552 CalTone Power Coherently dB : 46.05532 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.38552 Incoherent PW - Coherent PW : 36.3302 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 13171.95 CalTone Amplitude Coherently : 204.7461 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12967.21 ------------ *** ------------ running time (sec): 65.65 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.66889 5.67351E-05 z fit: constant and linear terms: .5240977 -4.55918E-09 y and z standard deviations (meters) .1712729 .2080436 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 = -4.31104E-03 -5.52892E-03 -5.82610E-03 -3.91036E-03 Differences = 5.83074E-04 -6.34809E-04 -9.31986E-04 9.83752E-04 PATCH NUMER 2 First line = 3493 Averages = -5.94701E-03 -3.68377E-03 -5.76293E-03 -4.59906E-03 Differences = -9.48804E-04 1.31443E-03 -7.64724E-04 3.99146E-04 PATCH NUMER 3 First line = 6985 Averages = -4.78129E-03 -5.66777E-03 -3.72796E-03 -4.52200E-03 Differences = -1.06532E-04 -9.93007E-04 9.46798E-04 1.52760E-04 PATCH NUMER 4 First line = 10477 Averages = -4.35315E-03 -4.00187E-03 -4.58929E-03 -1.68147E-03 Differences = -6.96672E-04 -3.45393E-04 -9.32809E-04 1.97501E-03 PATCH NUMER 5 First line = 13969 Averages = -4.77665E-03 -2.42647E-03 -1.70798E-03 -2.15356E-03 Differences = -2.01046E-03 3.39723E-04 1.05822E-03 6.12632E-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.lp Please enter the name of the parameter file /data3/airops/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_hh Name of the mocomp data file? /data3/airops/cm5283_l.mocomph Output file name? /data3/airops/cm5283_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 = 2.276 Processing 5 blocks Processing block number 1 reference line: 4096 2.277 seconds. Range compression done, time = 129.965 Motion comp. coeff. calculated, time = 130.066 Motion comp. added to patch, time = 221.994 Doppler estimation done, time = 222.026 Azimuth compression starting, time : 222.141 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 601.905 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 623.772 seconds. Range compression done, time = 746.410 Motion comp. coeff. calculated, time = 746.535 Motion comp. added to patch, time = 823.255 Doppler estimation done, time = 823.256 Azimuth compression starting, time : 823.382 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1203.971 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1223.026 seconds. Range compression done, time = 1346.577 Motion comp. coeff. calculated, time = 1346.848 Motion comp. added to patch, time = 1423.648 Doppler estimation done, time = 1423.648 Azimuth compression starting, time : 1423.814 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1804.311 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1824.081 seconds. Range compression done, time = 1950.669 Motion comp. coeff. calculated, time = 1950.899 Motion comp. added to patch, time = 2027.552 Doppler estimation done, time = 2027.552 Azimuth compression starting, time : 2027.682 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2407.851 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2427.611 seconds. Range compression done, time = 2561.409 Motion comp. coeff. calculated, time = 2561.699 Motion comp. added to patch, time = 2638.468 Doppler estimation done, time = 2638.468 Azimuth compression starting, time : 2638.604 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3019.097 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_l.hh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_hv Name of the mocomp data file? /data3/airops/cm5283_l.mocomph Output file name? /data3/airops/cm5283_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 = 2.329 Processing 5 blocks Processing block number 1 reference line: 4096 2.329 seconds. Range compression done, time = 83.881 Motion comp. coeff. calculated, time = 83.956 Motion comp. added to patch, time = 163.498 Doppler estimation done, time = 163.498 Azimuth compression starting, time : 163.614 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 544.524 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 565.918 seconds. Range compression done, time = 641.025 Motion comp. coeff. calculated, time = 641.139 Motion comp. added to patch, time = 718.130 Doppler estimation done, time = 718.130 Azimuth compression starting, time : 718.258 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1099.582 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1114.712 seconds. Range compression done, time = 1191.348 Motion comp. coeff. calculated, time = 1191.615 Motion comp. added to patch, time = 1269.418 Doppler estimation done, time = 1269.418 Azimuth compression starting, time : 1269.548 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1650.766 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1670.451 seconds. Range compression done, time = 1747.208 Motion comp. coeff. calculated, time = 1747.436 Motion comp. added to patch, time = 1823.823 Doppler estimation done, time = 1823.823 Azimuth compression starting, time : 1823.954 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2205.500 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2225.602 seconds. Range compression done, time = 2300.749 Motion comp. coeff. calculated, time = 2300.945 Motion comp. added to patch, time = 2377.457 Doppler estimation done, time = 2377.457 Azimuth compression starting, time : 2377.573 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2759.337 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_l.hv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_vh Name of the mocomp data file? /data3/airops/cm5283_l.mocompv Output file name? /data3/airops/cm5283_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 = 2.322 Processing 5 blocks Processing block number 1 reference line: 4096 2.322 seconds. Range compression done, time = 82.869 Motion comp. coeff. calculated, time = 82.944 Motion comp. added to patch, time = 162.299 Doppler estimation done, time = 162.299 Azimuth compression starting, time : 162.415 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 541.313 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 562.814 seconds. Range compression done, time = 638.028 Motion comp. coeff. calculated, time = 638.115 Motion comp. added to patch, time = 714.833 Doppler estimation done, time = 714.834 Azimuth compression starting, time : 714.963 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1095.165 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1109.200 seconds. Range compression done, time = 1185.731 Motion comp. coeff. calculated, time = 1186.431 Motion comp. added to patch, time = 1263.856 Doppler estimation done, time = 1263.856 Azimuth compression starting, time : 1263.988 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1645.306 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1664.971 seconds. Range compression done, time = 1741.231 Motion comp. coeff. calculated, time = 1741.443 Motion comp. added to patch, time = 1819.044 Doppler estimation done, time = 1819.044 Azimuth compression starting, time : 1819.177 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2199.703 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2219.434 seconds. Range compression done, time = 2295.250 Motion comp. coeff. calculated, time = 2295.718 Motion comp. added to patch, time = 2383.310 Doppler estimation done, time = 2383.310 Azimuth compression starting, time : 2383.431 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2764.751 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_l.vh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data2/airops/l_vv Name of the mocomp data file? /data3/airops/cm5283_l.mocompv Output file name? /data3/airops/cm5283_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 = 2.274 Processing 5 blocks Processing block number 1 reference line: 4096 2.274 seconds. Range compression done, time = 115.313 Motion comp. coeff. calculated, time = 115.388 Motion comp. added to patch, time = 196.301 Doppler estimation done, time = 196.327 Azimuth compression starting, time : 196.460 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 579.726 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 601.207 seconds. Range compression done, time = 708.658 Motion comp. coeff. calculated, time = 708.733 Motion comp. added to patch, time = 785.371 Doppler estimation done, time = 785.371 Azimuth compression starting, time : 785.498 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1194.859 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1212.543 seconds. Range compression done, time = 1320.787 Motion comp. coeff. calculated, time = 1321.084 Motion comp. added to patch, time = 1397.523 Doppler estimation done, time = 1397.657 Azimuth compression starting, time : 1397.826 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1811.525 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1831.376 seconds. Range compression done, time = 1939.535 Motion comp. coeff. calculated, time = 1939.772 Motion comp. added to patch, time = 2016.185 Doppler estimation done, time = 2016.186 Azimuth compression starting, time : 2016.319 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2433.349 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2452.880 seconds. Range compression done, time = 2561.248 Motion comp. coeff. calculated, time = 2561.442 Motion comp. added to patch, time = 2637.863 Doppler estimation done, time = 2637.863 Azimuth compression starting, time : 2637.992 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3056.345 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_l.vv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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: 1037 *************************************** ***** ***** ***** 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 94055 writing parheadL writing parhead 20.0 writing parhead 82.3 writing parhead 82.0 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.10759 -20.3505 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .052 .066 .089 .202 .242 .048 .029 .100 .041 .028 .045 .065 .206 .390 .125 .053 .080 .011 .003 .005 .029 .210 .651 .332 .085 .033 .002 .011 .004 .012 .255 .903 .510 .098 .012 .002 .032 .001 .042 .383 1.000 .475 .072 .015 .002 .022 .008 .106 .489 .849 .369 .089 .052 .003 .025 .003 .091 .439 .697 .403 .215 .136 .005 .035 .002 .018 .265 .566 .493 .361 .196 .019 .017 .009 .004 .131 .470 .460 .357 .157 .038 r_peak,r_snr = .1373449 12.29087 Correlation Surface of oversamples image at 146 3046 .203 .339 .466 .470 .336 .193 .133 .148 .204 .189 .345 .553 .653 .524 .319 .203 .177 .187 .162 .329 .610 .826 .735 .472 .284 .203 .163 .121 .291 .624 .940 .908 .603 .346 .214 .135 .087 .261 .623 .995 1.000 .666 .361 .195 .101 .075 .262 .634 1.000 .997 .647 .322 .149 .063 .092 .297 .652 .957 .919 .572 .255 .096 .033 .143 .367 .675 .892 .817 .495 .203 .064 .018 .224 .449 .695 .827 .732 .452 .188 .058 .018 146 .250 3046 -.219 12.29088 .020135 .362040 .045678 Correlation Surface at 246 3046 .055 .120 .140 .079 .117 .254 .214 .167 .008 .057 .189 .379 .253 .202 .238 .149 .045 .000 .022 .151 .578 .695 .476 .215 .035 .001 .000 .010 .076 .474 .993 .848 .270 .013 .024 .000 .031 .058 .285 .878 1.000 .342 .041 .001 .014 .069 .062 .168 .590 .829 .362 .089 .016 .016 .056 .028 .095 .364 .549 .276 .069 .027 .000 .014 .002 .074 .257 .291 .123 .031 .040 .000 .001 .000 .138 .274 .168 .059 .028 .083 .019 r_peak,r_snr = .1469332 13.69185 Correlation Surface of oversamples image at 246 3046 .378 .497 .463 .357 .298 .276 .219 .141 .082 .374 .552 .614 .569 .500 .401 .246 .119 .048 .312 .530 .706 .774 .731 .550 .289 .111 .030 .229 .451 .711 .901 .916 .685 .340 .119 .028 .157 .352 .636 .910 1.000 .769 .385 .138 .036 .110 .263 .520 .822 .976 .784 .410 .160 .056 .084 .197 .406 .687 .871 .742 .418 .185 .084 .066 .149 .308 .540 .721 .659 .413 .210 .114 .049 .109 .225 .401 .563 .559 .395 .226 .134 246 -.594 3046 -.406 13.69186 .031942 .192507 -.040262 Correlation Surface at 346 3046 .000 .082 .062 .045 .296 .078 .000 .006 .432 .017 .123 .153 .000 .041 .000 .003 .006 .488 .001 .238 .311 .160 .103 .128 .006 .030 .260 .050 .122 .169 .380 .717 .588 .089 .070 .061 .020 .009 .011 .169 1.000 .874 .145 .093 .019 .022 .274 .356 .000 .491 .476 .078 .070 .041 .066 .422 .519 .067 .072 .118 .012 .053 .120 .000 .183 .292 .076 .000 .029 .011 .098 .251 r_peak,r_snr = 8.98631E-02 9.88278 Correlation Surface of oversamples image at 346 3046 .219 .116 .101 .147 .196 .203 .211 .203 .223 .467 .334 .304 .378 .438 .401 .338 .250 .207 .640 .560 .556 .670 .725 .614 .461 .303 .216 .651 .697 .764 .918 .950 .759 .533 .340 .237 .486 .664 .820 .997 1.000 .772 .526 .344 .252 .226 .453 .664 .831 .817 .623 .437 .313 .254 .037 .197 .394 .524 .501 .392 .317 .270 .256 .005 .037 .159 .239 .223 .198 .221 .244 .276 .071 .001 .029 .061 .061 .085 .167 .247 .312 346 -1.719 3046 11.375 9.88278 .044414 .084358 -.027038 Correlation Surface at 546 3046 .000 .004 .159 .557 .720 .529 .317 .157 .085 .004 .003 .139 .522 .787 .613 .329 .181 .118 .006 .002 .111 .482 .883 .678 .323 .171 .113 .003 .000 .086 .460 .978 .717 .281 .131 .079 .001 .002 .064 .431 1.000 .757 .279 .120 .061 .000 .002 .045 .367 .934 .758 .317 .147 .074 .002 .000 .043 .322 .839 .692 .326 .169 .092 .002 .001 .056 .322 .768 .665 .304 .139 .087 .001 .002 .072 .343 .757 .729 .296 .086 .079 r_peak,r_snr = .3054318 8.05983 Correlation Surface of oversamples image at 546 3046 .119 .243 .461 .693 .805 .746 .545 .303 .120 .091 .220 .465 .749 .893 .810 .560 .289 .099 .075 .212 .480 .796 .959 .860 .578 .287 .088 .065 .211 .491 .818 .993 .898 .606 .301 .090 .059 .208 .485 .812 1.000 .928 .648 .335 .106 .054 .195 .460 .781 .987 .947 .692 .381 .136 .048 .173 .419 .729 .946 .936 .715 .421 .172 .040 .147 .370 .664 .879 .886 .698 .434 .196 .034 .124 .326 .600 .802 .815 .654 .417 .199 546 .156 3046 1.219 8.05983 .006267 .359215 -.019962 Correlation Surface at 646 3046 .066 .004 .062 .226 .464 .346 .208 .121 .007 .042 .016 .099 .284 .482 .410 .381 .199 .012 .016 .065 .212 .490 .629 .505 .333 .169 .032 .006 .119 .346 .787 .840 .502 .146 .110 .074 .010 .073 .335 .884 1.000 .448 .088 .113 .088 .030 .012 .203 .706 .961 .443 .153 .146 .066 .036 .000 .120 .544 .909 .530 .265 .162 .049 .017 .002 .138 .585 .951 .613 .288 .131 .037 .002 .014 .191 .659 .929 .534 .204 .086 .032 r_peak,r_snr = .1654519 6.51537 Correlation Surface of oversamples image at 646 3046 .187 .269 .350 .440 .516 .539 .502 .434 .360 .253 .359 .477 .602 .680 .669 .587 .458 .320 .300 .435 .592 .752 .841 .801 .662 .456 .259 .303 .464 .654 .848 .958 .906 .711 .436 .205 .258 .432 .640 .859 1.000 .958 .728 .409 .172 .183 .347 .556 .787 .961 .953 .720 .390 .163 .103 .236 .425 .657 .859 .900 .695 .382 .176 .043 .136 .295 .517 .741 .825 .663 .386 .203 .012 .070 .199 .408 .644 .759 .640 .401 .238 646 -.344 3046 -3.906 6.51537 .026669 .315701 -.000862 Correlation Surface at 746 3046 .003 .010 .007 .172 .329 .124 .002 .020 .050 .015 .036 .002 .239 .595 .368 .038 .002 .038 .017 .079 .000 .281 .802 .475 .025 .011 .066 .004 .057 .004 .375 .970 .445 .002 .050 .082 .007 .002 .050 .467 1.000 .434 .001 .062 .056 .044 .012 .086 .412 .821 .421 .012 .018 .032 .047 .005 .036 .285 .625 .364 .040 .000 .029 .018 .005 .004 .250 .541 .302 .041 .000 .064 .006 .018 .003 .278 .512 .251 .015 .015 .136 r_peak,r_snr = .2011674 11.71344 Correlation Surface of oversamples image at 746 3046 .001 .091 .296 .519 .650 .616 .447 .250 .103 .001 .099 .332 .599 .769 .730 .505 .251 .084 .003 .123 .388 .691 .878 .807 .514 .214 .049 .012 .163 .459 .784 .962 .842 .488 .166 .021 .033 .211 .525 .852 1.000 .836 .452 .130 .007 .064 .253 .561 .868 .985 .803 .424 .116 .004 .092 .274 .555 .827 .925 .754 .405 .119 .008 .102 .263 .507 .744 .836 .689 .384 .129 .017 .087 .228 .443 .654 .742 .618 .355 .134 .029 746 -.031 3046 -.313 11.71345 .007483 .179366 .003766 Correlation Surface at 846 3046 .018 .334 .000 .326 .251 .006 .002 .268 .026 .063 .006 .059 .010 .049 .029 .005 .205 .387 .007 .000 .005 .063 .743 .807 .006 .000 .008 .071 1.000 .837 .006 .004 .023 .006 .491 .367 .113 .001 .005 .028 .055 .080 .624 .099 .005 .041 .002 .032 .709 .267 .030 .001 .008 .006 r_peak,r_snr = 8.08262E-02 5.69819 Correlation Surface of oversamples image at 846 3046 .022 .008 .010 .108 .235 .277 .251 .244 .278 .001 .006 .090 .304 .507 .504 .351 .228 .182 .010 .054 .226 .541 .782 .705 .419 .187 .085 .042 .127 .375 .745 .961 .812 .445 .144 .025 .061 .185 .490 .862 1.000 .808 .430 .111 .003 .049 .202 .533 .865 .923 .722 .381 .085 .000 .022 .168 .480 .758 .776 .588 .299 .057 .003 .003 .101 .343 .573 .596 .432 .196 .028 .008 .001 .034 .175 .353 .406 .280 .100 .006 .013 846 13.469 3046 7.906 5.69819 .030593 .095947 .005146 Correlation Surface at 946 3046 .169 .140 .202 .393 .498 .385 .241 .159 .134 .217 .165 .202 .378 .505 .429 .281 .197 .187 .207 .170 .205 .381 .558 .514 .335 .261 .252 .131 .140 .225 .479 .769 .658 .419 .340 .278 .094 .131 .257 .637 1.000 .743 .421 .343 .244 .116 .143 .267 .682 .951 .632 .335 .294 .222 .141 .141 .239 .551 .697 .474 .279 .294 .268 .142 .130 .201 .386 .483 .358 .269 .329 .319 .145 .124 .151 .270 .333 .266 .262 .337 .298 r_peak,r_snr = .3421968 5.37091 Correlation Surface of oversamples image at 946 3046 .185 .282 .396 .482 .519 .502 .456 .426 .402 .205 .315 .454 .574 .626 .596 .530 .488 .455 .240 .371 .549 .710 .773 .717 .616 .543 .482 .290 .446 .661 .857 .917 .828 .683 .564 .468 .346 .518 .753 .956 1.000 .884 .703 .544 .423 .382 .557 .783 .963 .982 .854 .662 .489 .367 .388 .548 .744 .881 .875 .753 .577 .419 .317 .368 .502 .654 .748 .729 .625 .479 .352 .282 .332 .433 .541 .604 .583 .501 .389 .297 .261 946 -.156 3046 -.313 5.37091 .007248 .028633 .004181 Correlation Surface at 1046 3046 .080 .000 .175 .178 .286 .158 .001 .007 .137 .019 .000 .045 .166 .380 .206 .020 .007 .071 .001 .000 .018 .203 .500 .225 .023 .006 .039 .001 .001 .044 .329 .777 .234 .000 .004 .008 .003 .000 .036 .390 1.000 .283 .013 .056 .001 .006 .005 .004 .263 .805 .286 .009 .062 .006 .002 .009 .000 .133 .429 .176 .001 .005 .003 .000 .000 .008 .125 .248 .076 .023 .012 .000 .003 .011 .044 .216 .222 .047 .059 .049 .010 r_peak,r_snr = .1455431 16.28012 Correlation Surface of oversamples image at 1046 3046 .004 .030 .128 .299 .431 .397 .244 .132 .090 .003 .033 .164 .407 .577 .486 .259 .118 .071 .006 .047 .223 .552 .758 .588 .269 .094 .042 .009 .062 .283 .691 .925 .685 .283 .074 .018 .005 .063 .311 .757 1.000 .737 .299 .066 .007 .000 .049 .292 .706 .926 .703 .301 .066 .003 .002 .031 .237 .560 .722 .573 .274 .072 .005 .007 .023 .183 .398 .491 .406 .226 .080 .013 .005 .026 .154 .283 .322 .272 .176 .086 .032 1046 .000 3046 .031 16.28012 .009483 .099683 -.004050 Correlation Surface at 1146 3046 .004 .003 .010 .069 .143 .144 .097 .004 .014 .007 .000 .006 .089 .207 .162 .079 .002 .010 .028 .017 .001 .110 .340 .236 .070 .004 .001 .070 .033 .000 .198 .705 .509 .095 .003 .003 .096 .017 .017 .285 1.000 .776 .125 .000 .002 .091 .009 .019 .200 .687 .567 .100 .001 .015 .055 .006 .005 .056 .225 .185 .044 .000 .009 .014 .001 .002 .010 .044 .046 .030 .006 .005 .003 .001 .008 .010 .012 .027 .035 .028 .067 r_peak,r_snr = .1828686 22.05261 Correlation Surface of oversamples image at 1146 3046 .038 .122 .225 .294 .329 .325 .241 .102 .024 .048 .164 .318 .438 .489 .442 .282 .100 .018 .067 .222 .439 .630 .702 .589 .336 .108 .016 .088 .280 .561 .822 .904 .722 .391 .124 .018 .101 .313 .634 .930 1.000 .780 .421 .141 .023 .096 .301 .614 .887 .931 .720 .401 .150 .031 .072 .239 .494 .702 .720 .559 .330 .144 .038 .040 .150 .323 .454 .457 .358 .232 .124 .043 .015 .073 .167 .234 .231 .189 .144 .100 .045 1146 .375 3046 .063 22.05262 .010858 .028782 -.000647 Correlation Surface at 1246 3046 .098 .083 .046 .178 .364 .311 .218 .092 .247 .116 .147 .130 .215 .263 .173 .151 .075 .225 .064 .164 .254 .339 .377 .217 .131 .045 .130 .008 .051 .170 .437 .764 .352 .105 .022 .037 .003 .002 .046 .437 1.000 .379 .096 .033 .017 .026 .005 .016 .298 .708 .289 .150 .123 .066 .046 .031 .012 .114 .304 .198 .239 .278 .180 .024 .027 .007 .030 .109 .135 .232 .267 .200 .020 .028 .007 .008 .048 .082 .104 .101 .096 r_peak,r_snr = .1739686 4.98145 Correlation Surface of oversamples image at 1246 3046 .379 .326 .268 .220 .164 .095 .042 .019 .007 .386 .363 .357 .383 .373 .264 .126 .045 .011 .276 .315 .416 .589 .673 .511 .237 .070 .010 .144 .230 .435 .759 .932 .700 .297 .071 .006 .057 .147 .393 .797 1.000 .713 .268 .052 .003 .019 .082 .294 .674 .859 .580 .196 .037 .006 .005 .033 .165 .447 .598 .395 .131 .036 .024 .000 .005 .057 .221 .335 .232 .090 .050 .067 .001 .002 .004 .070 .147 .119 .066 .071 .128 1246 -.031 3046 -.094 4.98145 .008492 .042353 -.001158 Correlation Surface at 1346 3046 .106 .055 .001 .021 .074 .089 .172 .077 .000 .195 .075 .001 .071 .169 .173 .200 .043 .011 .178 .032 .031 .191 .400 .287 .156 .014 .032 .085 .001 .064 .346 .842 .439 .116 .001 .012 .043 .000 .040 .385 1.000 .465 .082 .003 .004 .078 .007 .012 .278 .652 .282 .037 .017 .020 .149 .021 .007 .161 .344 .180 .025 .019 .004 .157 .020 .010 .099 .216 .207 .066 .017 .000 .093 .012 .022 .085 .153 .204 .101 .025 .001 r_peak,r_snr = .1812949 15.51384 Correlation Surface of oversamples image at 1346 3046 .050 .110 .162 .198 .216 .229 .249 .265 .254 .096 .184 .265 .332 .379 .394 .369 .324 .272 .133 .254 .382 .511 .611 .612 .505 .379 .280 .147 .294 .482 .695 .853 .820 .621 .420 .277 .130 .288 .525 .810 1.000 .925 .662 .420 .252 .098 .245 .495 .804 .985 .877 .604 .366 .206 .068 .192 .417 .695 .833 .719 .483 .283 .154 .045 .140 .314 .524 .616 .521 .348 .198 .106 .028 .095 .215 .354 .413 .354 .243 .137 .074 1346 .094 3046 -.313 15.51384 .008324 .041045 .001377 Correlation Surface at 1446 3046 .355 .607 .268 .051 .006 .092 .041 .055 .309 .059 .221 .314 .144 .002 .108 .133 .025 .025 .004 .033 .214 .264 .099 .029 .090 .015 .136 .004 .008 .115 .347 .471 .059 .001 .125 .211 .002 .063 .102 .394 1.000 .468 .189 .252 .075 .007 .152 .121 .332 .965 .520 .302 .349 .052 .008 .101 .113 .150 .275 .084 .113 .372 .145 .002 .007 .038 .018 .010 .005 .016 .283 .200 .019 .029 .006 .000 .016 .001 .000 .119 .084 r_peak,r_snr = 8.01690E-02 6.55879 Correlation Surface of oversamples image at 1446 3046 .077 .107 .126 .132 .100 .042 .002 .011 .034 .085 .122 .182 .252 .258 .174 .058 .003 .002 .105 .144 .254 .426 .516 .413 .195 .049 .011 .132 .168 .331 .625 .813 .675 .344 .119 .046 .166 .194 .389 .763 1.000 .810 .406 .149 .067 .204 .215 .399 .770 .989 .763 .355 .119 .053 .223 .203 .330 .615 .764 .544 .215 .053 .021 .204 .157 .213 .377 .444 .275 .076 .006 .001 .156 .101 .108 .176 .191 .091 .009 .003 .003 1446 6.031 3046 -10.781 6.55879 .052970 .191709 -.047629 Correlation Surface at 1546 3046 .000 .007 .051 .092 .156 .157 .190 .151 .010 .002 .002 .043 .109 .288 .206 .157 .156 .024 .002 .002 .051 .183 .600 .429 .210 .169 .044 .001 .001 .054 .273 .942 .710 .281 .153 .042 .009 .005 .076 .325 1.000 .719 .236 .117 .025 .005 .025 .120 .286 .694 .469 .133 .064 .015 .000 .032 .108 .175 .388 .337 .107 .031 .009 .000 .019 .052 .121 .308 .440 .174 .020 .004 .000 .016 .052 .144 .392 .623 .268 .029 .002 r_peak,r_snr = .211998 12.36896 Correlation Surface of oversamples image at 1546 3046 .061 .097 .195 .380 .541 .513 .350 .231 .195 .071 .116 .241 .487 .713 .696 .485 .312 .240 .084 .137 .288 .591 .877 .877 .625 .392 .273 .100 .161 .332 .670 .986 .994 .713 .427 .269 .123 .190 .370 .703 1.000 .996 .699 .390 .222 .146 .216 .383 .665 .901 .873 .584 .298 .156 .156 .219 .351 .557 .719 .672 .427 .203 .101 .139 .187 .280 .421 .529 .485 .305 .146 .073 .101 .133 .200 .305 .391 .370 .251 .137 .073 1546 .250 3046 -.219 12.36897 .008558 .054825 .005126 Correlation Surface at 1646 3046 .004 .020 .049 .092 .189 .075 .002 .001 .004 .000 .001 .017 .084 .167 .070 .004 .000 .010 .000 .000 .020 .127 .269 .130 .004 .002 .013 .000 .001 .035 .260 .638 .220 .000 .009 .010 .000 .001 .035 .380 1.000 .230 .004 .015 .011 .000 .001 .023 .312 .797 .156 .007 .017 .028 .000 .000 .010 .170 .411 .096 .002 .009 .040 .001 .000 .008 .106 .255 .094 .001 .001 .013 .005 .004 .018 .092 .246 .129 .016 .002 .001 r_peak,r_snr = .2371167 24.4922 Correlation Surface of oversamples image at 1646 3046 .027 .056 .118 .205 .256 .222 .123 .036 .003 .035 .079 .177 .321 .401 .332 .166 .039 .001 .043 .107 .264 .498 .621 .484 .213 .038 .000 .048 .132 .353 .693 .859 .635 .251 .034 .001 .045 .137 .399 .809 1.000 .716 .263 .029 .003 .035 .120 .376 .780 .964 .680 .241 .022 .005 .024 .091 .299 .632 .784 .552 .195 .017 .005 .015 .063 .217 .462 .572 .405 .146 .013 .004 .009 .046 .160 .335 .409 .291 .108 .011 .003 1646 -.063 3046 .156 24.49220 .003317 .018478 .000785 Correlation Surface at 1846 3046 .011 .000 .007 .002 .173 .183 .043 .135 .156 .013 .000 .001 .018 .242 .111 .012 .060 .044 .004 .008 .000 .059 .322 .123 .012 .037 .021 .058 .009 .001 .117 .601 .328 .071 .053 .031 .044 .001 .003 .204 1.000 .589 .170 .090 .039 .008 .000 .002 .226 .907 .515 .249 .140 .037 .005 .008 .000 .142 .468 .303 .284 .193 .055 .017 .026 .000 .092 .227 .170 .283 .262 .134 .009 .010 .006 .127 .176 .136 .237 .241 .165 r_peak,r_snr = .1548883 12.2453 Correlation Surface of oversamples image at 1846 3046 .032 .000 .044 .126 .143 .099 .061 .054 .066 .015 .008 .117 .270 .298 .209 .126 .087 .069 .002 .037 .242 .503 .548 .401 .250 .153 .094 .001 .085 .398 .767 .826 .629 .409 .249 .150 .009 .141 .533 .951 1.000 .781 .538 .358 .240 .020 .181 .583 .948 .960 .773 .585 .450 .348 .025 .182 .507 .747 .725 .614 .536 .492 .428 .022 .145 .356 .476 .445 .408 .432 .475 .451 .016 .096 .209 .254 .229 .236 .316 .412 .423 1846 .281 3046 .188 12.24530 .009364 .058718 -.000270 Correlation Surface at 1946 3046 .038 .078 .128 .268 .491 .429 .217 .092 .047 .042 .071 .116 .301 .578 .449 .200 .085 .045 .041 .065 .115 .365 .738 .520 .211 .093 .045 .036 .059 .118 .443 .938 .633 .241 .104 .044 .034 .054 .119 .486 1.000 .668 .254 .104 .042 .038 .054 .122 .456 .850 .592 .241 .096 .035 .040 .059 .128 .381 .668 .505 .220 .092 .033 .037 .064 .129 .307 .561 .467 .214 .096 .038 .035 .069 .126 .265 .499 .446 .220 .102 .040 r_peak,r_snr = .5399895 11.78403 Correlation Surface of oversamples image at 1946 3046 .131 .213 .375 .594 .750 .729 .561 .377 .251 .134 .226 .414 .672 .854 .821 .619 .406 .267 .136 .239 .453 .746 .946 .900 .670 .435 .283 .137 .251 .485 .797 1.000 .942 .698 .453 .294 .138 .262 .505 .813 1.000 .935 .698 .459 .299 .142 .273 .511 .792 .951 .888 .675 .456 .300 .149 .279 .500 .742 .874 .823 .645 .449 .298 .157 .279 .473 .676 .790 .759 .616 .441 .296 .162 .270 .434 .608 .718 .709 .594 .436 .297 1946 .125 3046 -.281 11.78404 .001237 .011202 .000237 Correlation Surface at 2046 3046 .007 .003 .009 .031 .032 .021 .000 .017 .092 .001 .002 .031 .053 .065 .058 .004 .028 .132 .000 .004 .049 .106 .198 .193 .023 .031 .143 .001 .000 .039 .209 .620 .474 .045 .030 .135 .001 .001 .037 .319 1.000 .601 .069 .057 .141 .000 .003 .048 .278 .698 .395 .096 .104 .110 .007 .021 .039 .150 .254 .161 .077 .074 .045 .030 .023 .019 .071 .079 .047 .025 .022 .024 .041 .010 .018 .054 .039 .011 .003 .011 .047 r_peak,r_snr = .2415263 14.17198 Correlation Surface of oversamples image at 2046 3046 .046 .058 .074 .114 .181 .209 .141 .051 .010 .050 .085 .140 .241 .370 .391 .246 .089 .019 .051 .115 .225 .421 .633 .626 .373 .132 .029 .054 .142 .308 .599 .881 .833 .481 .173 .045 .062 .161 .358 .699 1.000 .913 .527 .205 .068 .074 .167 .362 .686 .942 .835 .495 .220 .096 .087 .162 .325 .579 .749 .648 .405 .213 .119 .093 .143 .264 .430 .515 .436 .295 .185 .125 .086 .115 .195 .288 .316 .264 .192 .139 .106 2046 .156 3046 .063 14.17198 .005138 .012640 .000861 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .001 .102 .191 .200 .256 .190 .080 .036 .034 .002 .078 .112 .122 .244 .179 .054 .041 .064 .017 .105 .148 .217 .399 .248 .029 .023 .068 .026 .129 .226 .461 .798 .510 .057 .031 .056 .021 .129 .245 .507 1.000 .748 .150 .076 .045 .028 .132 .217 .284 .655 .632 .184 .083 .037 .026 .115 .149 .124 .314 .454 .159 .047 .030 .007 .069 .086 .081 .207 .371 .179 .060 .029 .007 .050 .067 .086 .189 .257 .179 .098 .022 r_peak,r_snr = .2117269 10.8362 Correlation Surface of oversamples image at 146 3446 .226 .253 .324 .384 .353 .229 .102 .035 .019 .292 .359 .478 .569 .520 .333 .142 .040 .014 .354 .468 .651 .796 .740 .486 .215 .063 .021 .378 .519 .753 .960 .929 .637 .307 .109 .046 .360 .489 .731 .979 1.000 .730 .388 .169 .088 .312 .396 .598 .848 .932 .740 .440 .223 .133 .242 .275 .416 .637 .775 .687 .459 .259 .163 .170 .171 .260 .443 .612 .616 .455 .274 .172 .113 .105 .164 .315 .495 .554 .440 .275 .171 146 .281 3446 -.094 10.83620 .014753 .026847 -.005461 Correlation Surface at 246 3446 .024 .020 .042 .159 .197 .078 .006 .052 .118 .023 .018 .036 .126 .189 .094 .005 .033 .135 .046 .029 .042 .159 .288 .124 .015 .005 .032 .066 .020 .044 .330 .649 .226 .031 .001 .000 .061 .016 .071 .535 1.000 .375 .043 .002 .002 .037 .033 .150 .510 .786 .398 .060 .002 .003 .008 .046 .220 .338 .367 .289 .086 .029 .036 .001 .027 .166 .187 .183 .169 .056 .043 .085 .012 .004 .075 .116 .169 .099 .014 .022 .073 r_peak,r_snr = .1871747 19.25961 Correlation Surface of oversamples image at 246 3446 .089 .150 .244 .343 .391 .342 .213 .085 .020 .071 .153 .303 .471 .533 .430 .242 .094 .023 .055 .162 .384 .639 .718 .542 .277 .099 .023 .051 .182 .473 .806 .896 .656 .318 .106 .023 .063 .216 .548 .912 1.000 .733 .356 .118 .027 .090 .261 .588 .916 .990 .742 .379 .136 .036 .129 .308 .584 .825 .874 .679 .376 .150 .047 .179 .353 .550 .689 .709 .572 .346 .155 .057 .230 .384 .497 .548 .543 .454 .296 .143 .058 246 -.125 3446 -.813 19.25961 .008579 .031220 -.000248 Correlation Surface at 346 3446 .092 .099 .148 .254 .227 .091 .076 .062 .051 .074 .108 .191 .301 .321 .130 .048 .073 .125 .074 .142 .276 .434 .611 .315 .052 .066 .092 .098 .177 .306 .517 .952 .672 .116 .037 .032 .131 .176 .249 .495 1.000 .855 .169 .014 .022 .125 .154 .225 .489 .857 .718 .126 .000 .013 .115 .144 .276 .554 .752 .576 .079 .003 .003 .102 .118 .309 .535 .612 .549 .146 .001 .012 .059 .067 .230 .369 .450 .536 .289 .056 .078 r_peak,r_snr = .1759858 8.50879 Correlation Surface of oversamples image at 346 3446 .166 .326 .510 .558 .423 .224 .083 .023 .010 .198 .374 .611 .735 .615 .351 .136 .038 .013 .222 .404 .684 .890 .818 .512 .217 .063 .016 .233 .410 .705 .969 .961 .655 .300 .088 .016 .228 .387 .666 .950 1.000 .729 .349 .095 .009 .214 .344 .582 .851 .936 .712 .340 .075 .001 .208 .309 .495 .721 .812 .633 .289 .043 .003 .226 .304 .441 .615 .695 .548 .234 .021 .016 .267 .330 .423 .549 .613 .489 .206 .014 .026 346 .281 3446 .813 8.50879 .025943 .300660 -.011698 Correlation Surface at 446 3446 .457 .568 .493 .423 .567 .740 .698 .636 .665 .503 .684 .648 .548 .609 .707 .730 .670 .713 .512 .659 .677 .660 .762 .757 .698 .591 .585 .485 .566 .557 .654 .938 .850 .641 .526 .479 .461 .546 .509 .618 1.000 .899 .665 .558 .495 .471 .569 .569 .656 .927 .873 .691 .576 .485 .490 .518 .548 .658 .797 .837 .671 .494 .381 r_peak,r_snr = .2678755 2.35384 Correlation Surface of oversamples image at 446 3446 2.847 2.885 3.029 3.376 3.009 3.104 3.249 3.589 3.185 3.274 3.331 3.568 3.147 3.187 3.145 3.269 2.891 2.886 2.793 2.836 2.607 2.584 2.481 2.468 446 2.813 3446 8.219 2.35384 .017974 .215426 -.002852 Correlation Surface at 546 3446 .162 .248 .417 .573 .818 .815 .515 .310 .312 .218 .274 .459 .659 .892 .871 .553 .363 .316 .267 .291 .465 .698 .916 .868 .556 .372 .295 .273 .273 .413 .663 .966 .914 .548 .360 .304 .254 .255 .368 .604 1.000 .974 .561 .351 .320 .243 .272 .354 .552 .923 .913 .556 .355 .315 .258 .309 .345 .521 .817 .768 .533 .400 .329 .286 .317 .331 .525 .769 .656 .530 .484 .418 .289 .307 .339 .550 .722 .596 .533 .546 .557 r_peak,r_snr = .3847282 3.36065 Correlation Surface of oversamples image at 546 3446 .367 .536 .700 .816 .848 .794 .687 .575 .473 .357 .527 .698 .821 .859 .809 .702 .583 .473 .339 .512 .703 .852 .909 .861 .740 .601 .477 .315 .494 .710 .891 .971 .922 .779 .618 .481 .290 .473 .708 .908 1.000 .948 .789 .615 .473 .271 .454 .689 .886 .973 .916 .758 .590 .454 .259 .434 .653 .828 .892 .830 .690 .546 .427 .252 .417 .611 .753 .788 .722 .609 .497 .399 .251 .407 .580 .691 .701 .632 .544 .460 .378 546 -.406 3446 -1.000 3.36065 .009880 .116590 -.010568 Correlation Surface at 646 3446 .136 .188 .450 .834 .889 .658 .480 .397 .373 .192 .242 .425 .731 .819 .643 .494 .379 .326 .220 .245 .334 .620 .852 .675 .457 .327 .301 .208 .200 .249 .567 .945 .701 .404 .298 .290 .190 .165 .225 .588 1.000 .674 .402 .339 .284 .151 .144 .245 .617 .933 .603 .424 .401 .288 .113 .134 .262 .582 .818 .557 .422 .391 .291 .121 .146 .259 .488 .747 .583 .408 .326 .256 .157 .162 .235 .388 .687 .599 .388 .289 .226 r_peak,r_snr = .3371083 4.21247 Correlation Surface of oversamples image at 646 3446 .317 .462 .657 .838 .921 .861 .705 .550 .429 .276 .403 .605 .824 .944 .881 .697 .518 .388 .238 .357 .569 .824 .973 .901 .690 .491 .355 .208 .326 .550 .830 .994 .912 .685 .476 .341 .186 .309 .543 .836 1.000 .905 .674 .473 .350 .171 .301 .543 .836 .982 .875 .653 .474 .376 .163 .300 .543 .819 .938 .822 .617 .470 .407 .161 .301 .536 .782 .871 .755 .574 .459 .431 .162 .302 .518 .729 .797 .693 .536 .444 .440 646 .063 3446 .219 4.21247 .005689 .143451 .009162 Correlation Surface at 746 3446 .053 .024 .069 .570 .549 .063 .022 .023 .006 .022 .019 .022 .409 .556 .091 .016 .011 .002 .036 .050 .003 .405 .756 .197 .001 .020 .039 .088 .092 .000 .465 .997 .316 .001 .059 .145 .121 .087 .000 .496 1.000 .342 .006 .052 .142 .120 .058 .003 .499 .801 .284 .015 .014 .041 .112 .046 .013 .514 .620 .184 .005 .007 .005 .083 .047 .029 .588 .608 .115 .000 .015 .007 .049 .040 .045 .622 .696 .144 .000 .016 .023 r_peak,r_snr = .1947874 12.79711 Correlation Surface of oversamples image at 746 3446 .045 .227 .475 .642 .601 .364 .100 .000 .030 .033 .209 .485 .714 .722 .477 .168 .013 .006 .021 .197 .515 .816 .859 .582 .225 .033 .000 .012 .189 .549 .909 .960 .640 .249 .042 .000 .007 .181 .572 .967 1.000 .641 .241 .040 .000 .005 .171 .573 .973 .976 .599 .220 .037 .000 .004 .157 .547 .926 .905 .541 .201 .040 .000 .004 .146 .512 .859 .823 .492 .196 .050 .002 .005 .142 .484 .793 .747 .452 .195 .060 .006 746 -.219 3446 .219 12.79711 .007061 .202512 .004337 Correlation Surface at 846 3446 .054 .102 .347 .237 .067 .001 .001 .176 .327 .288 .098 .086 .022 .013 .165 .210 .053 .036 .255 .185 .064 .027 .020 .018 .263 .763 .371 .048 .003 .000 .124 .844 1.000 .237 .000 .005 .010 .226 .899 .690 .093 .009 .001 .028 .185 .533 .449 .075 .001 .003 .081 .191 .276 .294 .028 .003 .005 .279 .160 .079 .112 .000 .000 r_peak,r_snr = .1077689 8.98898 Correlation Surface of oversamples image at 846 3446 .136 .051 .028 .069 .184 .269 .222 .111 .040 .059 .027 .041 .139 .328 .450 .374 .190 .062 .036 .045 .123 .322 .566 .646 .474 .210 .050 .052 .120 .309 .613 .838 .784 .480 .163 .019 .105 .246 .529 .867 1.000 .799 .406 .093 .001 .170 .345 .639 .929 .970 .701 .306 .042 .005 .197 .343 .579 .799 .807 .564 .226 .018 .017 .173 .262 .426 .597 .624 .454 .181 .010 .021 .138 .176 .281 .421 .481 .379 .154 .007 .017 846 11.375 3446 -4.781 8.98898 .059091 .178460 .073758 Correlation Surface at 946 3446 .002 .017 .137 .363 .275 .084 .030 .032 .068 .001 .005 .086 .291 .279 .132 .025 .009 .040 .000 .001 .042 .259 .413 .244 .038 .012 .034 .001 .000 .026 .319 .729 .410 .074 .037 .040 .002 .000 .027 .418 1.000 .510 .103 .051 .031 .006 .001 .028 .399 .868 .439 .101 .034 .017 .024 .009 .022 .268 .560 .336 .085 .022 .020 .062 .022 .023 .179 .416 .285 .057 .015 .031 .099 .033 .030 .170 .374 .228 .029 .010 .034 r_peak,r_snr = .2895666 16.80663 Correlation Surface of oversamples image at 946 3446 .041 .118 .241 .376 .446 .382 .230 .095 .031 .032 .115 .272 .472 .591 .509 .297 .122 .044 .028 .121 .324 .604 .767 .640 .357 .149 .062 .027 .132 .382 .737 .920 .736 .397 .172 .081 .027 .140 .424 .821 1.000 .773 .415 .190 .096 .029 .143 .433 .827 .985 .757 .422 .209 .111 .031 .140 .409 .760 .894 .707 .427 .233 .126 .033 .131 .364 .654 .774 .649 .435 .260 .139 .037 .124 .315 .551 .668 .604 .445 .280 .144 946 -.063 3446 .188 16.80664 .003680 .021533 .000468 Correlation Surface at 1046 3446 .457 .219 .047 .156 .512 .694 .628 .505 .429 .216 .168 .231 .397 .487 .591 .380 .176 .077 .059 .225 .438 .502 .582 .601 .146 .013 .000 .076 .371 .399 .510 .923 .702 .112 .031 .012 .139 .322 .283 .563 1.000 .699 .298 .253 .131 .083 .126 .210 .557 .766 .635 .601 .499 .196 .020 .075 .239 .581 .625 .640 .782 .459 .164 .040 .181 .300 .563 .621 .713 .753 .267 .137 .146 .294 .244 .383 .522 .635 .545 .163 .108 r_peak,r_snr = .1258509 4.34104 Correlation Surface of oversamples image at 1046 3446 .519 .554 .556 .520 .467 .458 .497 .481 .339 .582 .622 .636 .632 .625 .637 .625 .510 .297 .674 .740 .775 .789 .803 .804 .721 .507 .242 .715 .810 .877 .908 .929 .908 .761 .469 .186 .694 .818 .922 .975 1.000 .958 .763 .429 .154 1046 -1.094 3446 12.781 4.34104 .043502 .242928 .014794 Correlation Surface at 1146 3446 .110 .025 .048 .462 .828 .284 .008 .010 .002 .020 .011 .067 .474 .877 .250 .001 .001 .067 .001 .001 .062 .438 .905 .238 .002 .051 .203 .000 .005 .056 .484 .952 .261 .006 .041 .186 .013 .006 .051 .643 1.000 .296 .004 .003 .082 .011 .001 .023 .691 .810 .234 .005 .000 .032 .001 .017 .008 .541 .448 .129 .015 .002 .023 .009 .001 .025 .423 .278 .109 .036 .022 .036 .070 .032 .085 .357 .312 .163 .063 .081 .071 r_peak,r_snr = .1541221 13.37329 Correlation Surface of oversamples image at 1146 3446 .036 .096 .230 .508 .833 .830 .432 .087 .004 .035 .109 .267 .561 .862 .807 .406 .094 .011 .030 .120 .324 .650 .901 .767 .371 .094 .015 .020 .129 .404 .777 .956 .733 .346 .097 .014 .010 .138 .499 .915 1.000 .701 .333 .102 .012 .004 .147 .580 .997 .978 .642 .315 .109 .014 .001 .150 .610 .973 .869 .547 .284 .111 .017 .000 .157 .594 .862 .712 .440 .243 .106 .019 .003 .175 .555 .724 .561 .349 .207 .099 .021 1146 .719 3446 -.531 13.37329 .014085 .269803 .019629 Correlation Surface at 1246 3446 .049 .004 .014 .012 .136 .130 .095 .006 .003 .014 .013 .017 .009 .072 .064 .028 .000 .000 .006 .028 .000 .055 .121 .068 .001 .018 .001 .025 .014 .037 .344 .495 .089 .005 .091 .055 .013 .007 .175 .852 1.000 .094 .011 .176 .227 .028 .061 .306 .836 .919 .080 .014 .168 .301 .026 .127 .351 .596 .670 .054 .033 .095 .200 .020 .279 .482 .640 .559 .016 .044 .048 .097 .185 .379 .548 .685 .366 .000 .049 .063 .060 r_peak,r_snr = .1073299 11.14912 Correlation Surface of oversamples image at 1246 3446 .076 .100 .084 .065 .057 .052 .038 .013 .001 .118 .183 .210 .232 .247 .210 .108 .016 .007 .153 .256 .360 .487 .575 .491 .231 .030 .007 .186 .306 .472 .709 .893 .782 .372 .059 .001 .214 .321 .479 .747 1.000 .917 .461 .093 .001 .225 .289 .374 .585 .852 .839 .447 .104 .005 .229 .236 .241 .367 .601 .649 .362 .087 .004 .237 .198 .150 .211 .387 .456 .259 .057 .001 .243 .177 .105 .126 .240 .293 .159 .026 .000 1246 -.313 3446 .469 11.14913 .021479 .091681 .013924 Correlation Surface at 1446 3446 .052 .035 .066 .099 .187 .221 .163 .140 .211 .054 .077 .119 .141 .151 .181 .233 .128 .078 .031 .069 .137 .254 .272 .335 .365 .158 .047 .018 .038 .128 .475 .683 .604 .380 .193 .086 .030 .034 .140 .672 1.000 .606 .289 .227 .135 .073 .070 .181 .604 .739 .397 .245 .242 .147 .138 .115 .192 .398 .386 .267 .253 .226 .137 .155 .100 .168 .285 .246 .232 .233 .173 .123 .094 .063 .175 .287 .224 .210 .181 .129 .137 r_peak,r_snr = .2288328 6.04898 Correlation Surface of oversamples image at 1446 3446 .191 .201 .206 .208 .202 .188 .182 .180 .180 .160 .207 .266 .322 .358 .361 .346 .314 .274 .143 .226 .353 .496 .603 .621 .557 .445 .341 .144 .258 .454 .689 .860 .856 .697 .493 .345 .161 .297 .539 .822 1.000 .931 .685 .438 .294 .195 .338 .581 .842 .961 .829 .561 .340 .234 .231 .361 .558 .738 .778 .630 .414 .257 .192 .250 .348 .476 .568 .556 .439 .303 .208 .172 .247 .310 .382 .418 .388 .315 .245 .192 .168 1446 -.406 3446 .125 6.04898 .013628 .020599 .004681 Correlation Surface at 1546 3446 .015 .007 .009 .057 .257 .243 .107 .079 .134 .005 .002 .001 .061 .398 .301 .106 .116 .189 .001 .001 .000 .065 .515 .401 .164 .194 .260 .003 .004 .002 .116 .746 .542 .217 .233 .284 .017 .013 .017 .270 1.000 .591 .190 .211 .306 .045 .014 .040 .391 .846 .393 .100 .194 .344 .057 .019 .068 .366 .500 .196 .055 .184 .308 .069 .043 .118 .333 .367 .150 .047 .139 .221 .102 .062 .123 .325 .413 .161 .036 .079 .140 r_peak,r_snr = .2241262 9.89441 Correlation Surface of oversamples image at 1546 3446 .001 .001 .047 .260 .592 .705 .512 .258 .127 .001 .001 .054 .298 .671 .797 .580 .299 .160 .000 .004 .080 .375 .790 .906 .643 .333 .188 .001 .013 .131 .488 .919 .989 .675 .349 .204 .004 .036 .207 .606 1.000 .994 .650 .337 .202 .014 .072 .289 .681 .981 .900 .570 .299 .184 .026 .112 .346 .671 .849 .720 .443 .235 .149 .045 .153 .371 .598 .665 .522 .310 .164 .109 .073 .194 .375 .512 .508 .370 .210 .108 .074 1546 .250 3446 -.031 9.89441 .006501 .044645 .007578 Correlation Surface at 1646 3446 .000 .027 .097 .170 .434 .129 .005 .001 .000 .013 .000 .081 .230 .376 .038 .001 .000 .015 .007 .000 .106 .265 .316 .022 .007 .007 .042 .010 .010 .121 .473 .598 .031 .015 .002 .034 .011 .000 .099 .816 1.000 .036 .003 .004 .017 .004 .116 .025 .712 .870 .023 .001 .000 .013 .028 .262 .000 .291 .435 .000 .041 .025 .004 .055 .244 .003 .197 .252 .027 .143 .011 .001 .155 .234 .005 .341 .179 .076 .092 .006 .005 r_peak,r_snr = 9.99410E-02 7.60554 Correlation Surface of oversamples image at 1646 3446 .003 .009 .056 .151 .198 .123 .015 .016 .052 .008 .019 .101 .267 .374 .253 .041 .010 .049 .020 .053 .198 .464 .638 .436 .082 .003 .034 .041 .122 .338 .684 .892 .590 .115 .000 .020 .069 .205 .450 .806 1.000 .626 .115 .000 .014 .083 .230 .424 .718 .881 .515 .074 .002 .023 .071 .168 .265 .464 .603 .325 .023 .020 .065 .042 .075 .099 .213 .324 .156 .000 .082 .168 .014 .016 .017 .070 .142 .053 .018 .196 .324 1646 -.063 3446 -.500 7.60554 .017423 .131669 .008519 Correlation Surface at 1746 3446 .013 .000 .025 .096 .274 .222 .104 .114 .111 .010 .001 .030 .107 .345 .247 .087 .056 .066 .013 .000 .009 .133 .507 .295 .073 .032 .031 .042 .016 .000 .174 .784 .400 .103 .053 .024 .064 .016 .001 .223 1.000 .465 .144 .078 .036 .038 .000 .008 .255 .828 .352 .132 .067 .058 .009 .002 .017 .244 .482 .199 .091 .049 .066 .007 .002 .018 .238 .345 .158 .065 .037 .061 .028 .024 .020 .279 .412 .193 .058 .041 .050 r_peak,r_snr = .225372 15.22304 Correlation Surface of oversamples image at 1746 3446 .011 .059 .201 .457 .654 .595 .377 .188 .088 .008 .060 .230 .532 .759 .682 .414 .194 .093 .007 .064 .255 .606 .878 .787 .464 .213 .112 .009 .066 .270 .666 .976 .867 .504 .238 .142 .011 .066 .275 .689 1.000 .872 .511 .261 .174 .013 .065 .273 .665 .924 .785 .475 .271 .195 .017 .070 .269 .604 .778 .643 .412 .266 .197 .024 .085 .274 .536 .631 .509 .351 .252 .185 .034 .108 .289 .490 .529 .422 .312 .237 .166 1746 .125 3446 -.156 15.22304 .004089 .043087 .001952 Correlation Surface at 1846 3446 .118 .033 .027 .011 .160 .018 .043 .050 .050 .052 .010 .043 .015 .176 .002 .026 .026 .051 .017 .008 .044 .035 .213 .011 .001 .004 .058 .029 .040 .051 .081 .509 .212 .056 .003 .057 .100 .147 .090 .096 1.000 .669 .095 .020 .064 .241 .317 .155 .047 .969 .711 .067 .049 .061 .413 .416 .150 .013 .492 .329 .017 .063 .030 .559 .364 .068 .015 .225 .084 .000 .051 .009 .467 .220 .010 .084 .199 .029 .000 .015 .018 r_peak,r_snr = .1309116 11.92508 Correlation Surface of oversamples image at 1846 3446 .010 .000 .060 .218 .240 .097 .011 .002 .014 .004 .009 .133 .363 .419 .255 .105 .061 .068 .003 .022 .205 .523 .667 .522 .305 .182 .118 .008 .019 .227 .629 .901 .818 .539 .296 .130 .028 .004 .174 .611 1.000 .994 .685 .346 .109 .075 .004 .083 .469 .898 .958 .674 .316 .072 .142 .038 .017 .274 .647 .741 .522 .225 .036 .197 .087 .000 .115 .371 .462 .319 .123 .012 .210 .115 .013 .033 .173 .235 .155 .050 .001 1846 .250 3446 .094 11.92508 .012779 .077204 -.012691 Correlation Surface at 1946 3446 .068 .091 .101 .153 .292 .307 .193 .115 .086 .072 .080 .096 .180 .308 .275 .185 .137 .105 .059 .076 .104 .228 .407 .319 .178 .126 .100 .056 .076 .105 .323 .711 .476 .179 .107 .086 .069 .074 .106 .453 1.000 .559 .183 .117 .097 .083 .068 .120 .475 .835 .423 .165 .123 .116 .077 .057 .122 .364 .528 .293 .132 .103 .123 .060 .047 .100 .273 .402 .257 .124 .095 .132 .051 .042 .090 .260 .361 .248 .154 .110 .135 r_peak,r_snr = .4718049 9.58244 Correlation Surface of oversamples image at 1946 3446 .127 .170 .247 .345 .412 .408 .351 .285 .233 .128 .183 .288 .429 .533 .524 .430 .326 .249 .128 .199 .344 .552 .704 .675 .521 .365 .260 .133 .222 .415 .696 .884 .814 .589 .387 .262 .143 .254 .489 .815 1.000 .875 .600 .381 .255 .155 .283 .536 .852 .990 .824 .547 .346 .237 .161 .294 .528 .784 .860 .691 .455 .296 .213 .157 .279 .468 .651 .683 .544 .368 .250 .191 .142 .243 .385 .514 .534 .435 .307 .221 .176 1946 .000 3446 .219 9.58244 .001435 .004946 .000420 Correlation Surface at 2046 3446 .001 .005 .088 .206 .222 .217 .153 .113 .073 .001 .025 .096 .141 .188 .183 .142 .133 .088 .002 .025 .051 .133 .301 .222 .144 .164 .131 .001 .012 .020 .233 .692 .384 .150 .148 .127 .002 .001 .009 .300 1.000 .542 .163 .101 .079 .001 .000 .005 .194 .738 .507 .169 .057 .038 .000 .000 .002 .073 .352 .333 .133 .031 .019 .004 .000 .001 .028 .170 .177 .079 .018 .015 .005 .003 .002 .013 .099 .088 .047 .013 .023 r_peak,r_snr = .2602318 17.88925 Correlation Surface of oversamples image at 2046 3446 .043 .066 .120 .219 .315 .330 .254 .172 .141 .034 .068 .157 .314 .452 .442 .296 .170 .135 .029 .081 .222 .463 .661 .612 .370 .189 .140 .025 .098 .292 .620 .878 .787 .453 .223 .157 .022 .107 .332 .708 1.000 .889 .517 .266 .183 .018 .100 .316 .682 .972 .877 .542 .309 .210 .013 .076 .251 .564 .822 .769 .522 .334 .219 .006 .046 .174 .420 .632 .624 .470 .323 .200 .001 .023 .114 .300 .470 .494 .404 .281 .159 2046 .125 3446 .156 17.88926 .003913 .015011 -.000919 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .168 .054 .003 .109 .143 .143 .071 .105 .093 .231 .077 .001 .042 .063 .060 .015 .022 .013 .149 .063 .002 .069 .128 .060 .004 .001 .005 .089 .064 .000 .249 .532 .196 .032 .000 .010 .094 .087 .010 .452 1.000 .407 .098 .022 .003 .120 .072 .030 .408 .839 .418 .094 .018 .007 .092 .029 .046 .270 .421 .246 .045 .000 .017 .052 .015 .059 .223 .186 .091 .018 .000 .009 .068 .034 .066 .245 .136 .049 .013 .003 .004 r_peak,r_snr = .1827416 18.81429 Correlation Surface of oversamples image at 146 3846 .000 .005 .040 .106 .139 .111 .057 .011 .001 .002 .019 .095 .229 .291 .215 .099 .022 .000 .004 .044 .193 .435 .541 .386 .170 .047 .007 .005 .074 .307 .666 .820 .587 .260 .084 .028 .006 .101 .390 .812 1.000 .735 .340 .121 .053 .009 .121 .410 .808 1.000 .773 .384 .148 .068 .016 .131 .372 .677 .841 .696 .380 .158 .066 .025 .134 .310 .503 .619 .550 .336 .150 .054 .034 .134 .256 .360 .423 .395 .267 .126 .041 146 -.031 3846 .250 18.81430 .008325 .025649 -.000822 Correlation Surface at 246 3846 .086 .069 .002 .000 .001 .056 .092 .027 .102 .098 .015 .004 .009 .059 .122 .070 .021 .012 .020 .233 .148 .123 .219 .199 .018 .003 .151 .783 .536 .282 .309 .333 .080 .040 .164 1.000 .930 .536 .261 .262 .083 .049 .116 .586 .731 .577 .186 .132 .025 .015 .068 .130 .208 .269 .130 .133 .014 .006 .038 .019 .025 .049 .059 .140 .053 .010 .075 .135 .036 .001 .003 .028 r_peak,r_snr = .1004725 8.60789 Correlation Surface of oversamples image at 246 3846 .021 .003 .094 .212 .176 .061 .011 .011 .056 .002 .043 .254 .469 .417 .206 .076 .053 .103 .000 .101 .429 .735 .698 .436 .230 .160 .190 .000 .134 .534 .900 .921 .701 .476 .348 .313 .000 .135 .535 .904 1.000 .908 .745 .577 .443 .000 .122 .459 .766 .911 .966 .920 .751 .538 .001 .108 .347 .552 .697 .846 .915 .795 .571 .004 .093 .233 .334 .437 .603 .739 .703 .543 .009 .073 .136 .163 .216 .345 .489 .530 .471 246 -11.594 3846 -7.094 8.60789 .032388 .094599 -.009391 Correlation Surface at 346 3846 .578 .537 .626 .697 .763 .654 .714 .779 .698 .605 .586 .643 .729 .821 .719 .673 .674 .613 .556 .576 .616 .716 .858 .826 .649 .539 .539 .408 .453 .529 .705 .923 .925 .659 .489 .573 .344 .335 .435 .695 1.000 .987 .692 .529 .666 .377 .310 .408 .675 .977 .924 .670 .573 .706 .421 .369 .451 .671 .873 .793 .611 .582 .700 .456 .462 .521 .691 .835 .737 .600 .603 .702 .527 .565 .603 .717 .801 .700 .588 .614 .675 r_peak,r_snr = .3522449 1.85449 Correlation Surface of oversamples image at 346 3846 .628 .741 .853 .912 .916 .883 .812 .702 .595 .609 .745 .870 .934 .947 .923 .846 .720 .606 .583 .743 .883 .956 .974 .948 .859 .722 .612 .555 .733 .891 .976 .996 .957 .851 .710 .611 .535 .721 .890 .984 1.000 .943 .822 .687 .607 .531 .712 .877 .969 .976 .902 .774 .656 .599 .542 .710 .860 .937 .931 .845 .721 .622 .586 .561 .719 .850 .906 .882 .790 .674 .593 .571 .578 .727 .845 .881 .838 .740 .631 .562 .549 346 .375 3846 -.594 1.85449 .019228 .181091 -.006036 Correlation Surface at 446 3846 .464 .338 .418 .591 .781 .707 .530 .440 .392 .598 .390 .451 .703 .815 .648 .587 .546 .484 .629 .433 .515 .882 .912 .668 .650 .620 .524 .502 .432 .537 .989 .993 .702 .622 .592 .452 .335 .353 .472 .923 1.000 .678 .568 .533 .384 .253 .271 .399 .761 .901 .545 .502 .494 .393 .240 .257 .378 .568 .718 .442 .434 .485 .419 .237 .303 .388 .407 .547 .453 .448 .534 .433 .226 .347 .405 .338 .463 .511 .517 .616 .505 r_peak,r_snr = .2430727 2.49527 Correlation Surface of oversamples image at 446 3846 .348 .461 .608 .730 .793 .765 .634 .466 .360 .342 .471 .646 .788 .848 .795 .638 .461 .361 .340 .478 .678 .849 .912 .836 .656 .477 .381 .341 .475 .691 .894 .968 .874 .681 .504 .411 .338 .459 .678 .909 1.000 .897 .703 .534 .441 .329 .432 .642 .890 .999 .901 .710 .545 .451 .315 .403 .594 .840 .967 .884 .690 .518 .428 .301 .381 .549 .776 .915 .848 .647 .461 .377 .288 .363 .505 .701 .837 .787 .583 .391 .317 446 .469 3846 .250 2.49527 .032950 .433634 -.014236 Correlation Surface at 546 3846 .205 .273 .397 .620 .735 .575 .360 .184 .092 .219 .265 .412 .669 .766 .604 .379 .199 .100 .246 .245 .392 .700 .835 .676 .398 .210 .113 .264 .248 .369 .692 .929 .750 .374 .165 .104 .266 .275 .377 .691 1.000 .758 .324 .127 .089 .237 .289 .414 .710 .980 .733 .314 .134 .085 .200 .294 .455 .685 .857 .691 .324 .155 .085 .210 .338 .470 .599 .698 .588 .298 .154 .089 .258 .397 .459 .520 .605 .487 .263 .150 .093 r_peak,r_snr = .4659149 5.43335 Correlation Surface of oversamples image at 546 3846 .311 .451 .620 .788 .898 .881 .715 .504 .345 .291 .422 .601 .794 .927 .922 .756 .535 .360 .283 .408 .596 .810 .960 .955 .784 .553 .367 .288 .411 .606 .834 .988 .975 .794 .558 .368 .303 .425 .623 .854 1.000 .975 .786 .553 .368 .321 .443 .636 .854 .981 .946 .761 .541 .368 .339 .457 .636 .828 .931 .892 .725 .525 .366 .353 .463 .619 .776 .856 .822 .679 .501 .355 .356 .452 .579 .700 .764 .740 .619 .460 .328 546 .188 3846 .375 5.43335 .003718 .087886 .001715 Correlation Surface at 646 3846 .076 .098 .182 .480 .726 .612 .405 .251 .137 .092 .107 .225 .575 .764 .591 .373 .232 .138 .094 .098 .239 .629 .823 .590 .356 .217 .123 .083 .095 .247 .687 .933 .632 .355 .198 .096 .081 .114 .272 .731 1.000 .700 .390 .200 .082 .082 .134 .309 .738 .971 .753 .461 .240 .091 .081 .138 .363 .787 .925 .741 .510 .288 .118 .078 .131 .414 .879 .894 .658 .474 .297 .150 .068 .129 .455 .924 .827 .559 .391 .261 .157 r_peak,r_snr = .3988144 5.69508 Correlation Surface of oversamples image at 646 3846 .168 .361 .613 .802 .824 .699 .527 .383 .276 .181 .385 .654 .858 .881 .740 .549 .389 .272 .202 .415 .696 .911 .938 .789 .582 .406 .278 .232 .449 .730 .947 .981 .836 .620 .433 .294 .266 .484 .754 .961 1.000 .867 .657 .466 .322 .302 .520 .773 .958 .993 .875 .683 .501 .355 .336 .560 .796 .950 .965 .856 .687 .523 .386 .368 .603 .827 .946 .929 .817 .667 .525 .402 .393 .644 .862 .947 .892 .764 .623 .500 .396 646 -.156 3846 .594 5.69508 .005508 .132738 -.005250 Correlation Surface at 746 3846 .064 .077 .283 .665 .416 .054 .004 .011 .004 .023 .052 .218 .589 .569 .159 .028 .016 .001 .002 .011 .106 .459 .827 .468 .089 .071 .019 .017 .000 .051 .348 .985 .793 .187 .272 .164 .013 .000 .071 .394 1.000 .826 .354 .454 .251 .002 .006 .159 .608 .973 .574 .393 .295 .088 .086 .044 .225 .665 .761 .283 .150 .056 .008 .173 .055 .215 .470 .464 .147 .010 .002 .006 .086 .020 .191 .362 .344 .150 .006 .003 .011 r_peak,r_snr = .1284814 9.87449 Correlation Surface of oversamples image at 746 3846 .576 .655 .576 .422 .232 .074 .010 .000 .000 .483 .611 .622 .555 .393 .186 .055 .012 .004 .400 .564 .673 .722 .628 .385 .163 .055 .025 .323 .498 .688 .860 .863 .615 .306 .124 .068 .260 .414 .639 .899 1.000 .784 .427 .196 .125 .224 .342 .551 .831 .990 .828 .485 .254 .191 .228 .322 .492 .730 .876 .755 .479 .295 .256 .290 .383 .517 .678 .748 .632 .440 .323 .302 .418 .536 .641 .702 .657 .515 .386 .328 .305 746 .469 3846 -1.281 9.87449 3.588332 114.580910 20.184902 Correlation Surface at 846 3846 .095 .126 .004 .134 .347 .332 .124 .118 .133 .201 .097 .013 .090 .346 .268 .081 .072 .174 .096 .003 .000 .125 .398 .308 .150 .140 .383 .001 .062 .045 .330 .679 .527 .274 .293 .715 .071 .179 .177 .566 1.000 .680 .387 .409 .811 .050 .122 .217 .530 .731 .424 .341 .245 .407 .001 .009 .089 .272 .312 .128 .170 .023 .065 .015 .036 .001 .051 .168 .073 .056 .014 .003 .042 .151 .110 .002 .172 .175 .018 .060 .000 r_peak,r_snr = .1189291 9.73014 Correlation Surface of oversamples image at 846 3846 .255 .290 .496 .934 .367 .404 .659 1.251 .520 .591 .950 1.757 .710 .852 1.360 2.376 .935 1.159 1.795 2.889 1.113 1.383 2.019 2.966 1.138 1.373 1.841 2.463 .952 1.061 1.256 1.544 .650 .602 .567 .663 846 2.875 3846 -11.406 9.73014 .049349 .081100 .017786 Correlation Surface at 946 3846 .558 .441 .401 .473 .572 .592 .531 .462 .479 .592 .667 .620 .483 .479 .564 .734 .816 .724 .440 .509 .617 .800 .949 .855 .457 .588 .655 .805 1.000 .914 .543 .655 .669 .779 .943 .854 .602 .607 .630 .723 .844 .766 .589 .512 .566 .682 .790 .714 .532 .470 .521 .663 .756 .686 r_peak,r_snr = .3014991 1.6397 Correlation Surface of oversamples image at 946 3846 .544 .642 .743 .807 .805 .752 .686 .634 .593 .581 .670 .770 .855 .883 .838 .746 .653 .582 .610 .680 .778 .889 .951 .908 .785 .660 .570 .634 .683 .781 .914 .993 .938 .787 .646 .554 .650 .689 .788 .928 1.000 .920 .751 .614 .533 .647 .689 .788 .918 .968 .864 .690 .567 .506 .617 .674 .769 .881 .909 .793 .626 .519 .479 .566 .641 .730 .822 .839 .728 .573 .480 .461 .500 .590 .671 .750 .768 .670 .530 .449 .449 946 13.031 3846 -6.688 1.63970 .038263 .237451 -.006205 Correlation Surface at 1046 3846 .160 .233 .257 .238 .321 .234 .108 .098 .070 .110 .164 .206 .220 .297 .160 .096 .097 .045 .114 .127 .205 .287 .361 .123 .052 .038 .015 .163 .149 .253 .479 .644 .190 .038 .013 .013 .206 .195 .273 .589 1.000 .363 .049 .010 .017 .173 .168 .202 .454 .924 .420 .064 .012 .025 .085 .071 .097 .248 .541 .328 .083 .033 .052 .031 .027 .037 .145 .383 .263 .082 .049 .068 .039 .059 .039 .155 .459 .254 .048 .028 .033 r_peak,r_snr = .2320854 8.66377 Correlation Surface of oversamples image at 1046 3846 .035 .003 .010 .060 .074 .019 .003 .021 .014 .026 .000 .056 .205 .262 .117 .005 .010 .018 .018 .003 .118 .419 .578 .330 .053 .001 .017 .015 .004 .153 .595 .890 .582 .140 .002 .014 .022 .000 .129 .613 1.000 .708 .205 .011 .009 .052 .008 .061 .446 .815 .621 .207 .019 .003 .123 .051 .006 .206 .469 .406 .163 .027 .000 .238 .138 .012 .047 .191 .214 .115 .035 .008 .383 .253 .070 .001 .062 .109 .079 .036 .016 1046 .031 3846 .438 8.66377 .006353 .032265 -.003784 Correlation Surface at 1146 3846 .127 .090 .002 .234 .754 .721 .367 .178 .087 .120 .069 .010 .207 .663 .566 .282 .152 .133 .118 .052 .010 .267 .693 .251 .066 .027 .034 .188 .058 .015 .427 .906 .156 .007 .000 .004 .375 .077 .095 .691 1.000 .166 .005 .011 .090 .497 .043 .321 .907 .727 .127 .007 .043 .229 .311 .012 .321 .705 .342 .096 .020 .051 .341 .145 .028 .086 .265 .120 .080 .067 .017 .314 .135 .089 .007 .065 .040 .031 .102 .001 .129 r_peak,r_snr = .1115295 9.69624 Correlation Surface of oversamples image at 1146 3846 .000 .013 .066 .252 .650 .899 .632 .246 .084 .000 .037 .132 .361 .747 .916 .599 .216 .068 .000 .086 .256 .528 .851 .900 .546 .190 .055 .002 .157 .427 .730 .951 .870 .505 .184 .052 .005 .231 .602 .908 1.000 .813 .475 .201 .063 .008 .275 .705 .975 .946 .717 .443 .223 .086 .004 .253 .658 .851 .763 .572 .377 .217 .110 .000 .150 .434 .542 .471 .366 .249 .151 .101 .008 .068 .229 .280 .253 .213 .140 .085 .083 1146 -.719 3846 1.750 9.69624 .022862 .247184 .033443 Correlation Surface at 1246 3846 .023 .070 .001 .003 .001 .111 .150 .114 .058 .019 .050 .006 .000 .049 .104 .042 .095 .206 .000 .000 .009 .012 .304 .151 .013 .102 .273 .004 .023 .015 .019 .835 .386 .021 .048 .121 .013 .003 .043 .015 1.000 .510 .013 .000 .006 .083 .006 .076 .000 .437 .218 .001 .009 .006 .088 .017 .060 .003 .108 .025 .006 .001 .009 .060 .050 .034 .008 .098 .023 .078 .047 .006 .090 .108 .010 .061 .124 .063 .171 .081 .004 r_peak,r_snr = .1134696 12.35774 Correlation Surface of oversamples image at 1246 3846 .021 .000 .053 .170 .204 .116 .041 .032 .065 .038 .000 .124 .372 .392 .169 .030 .011 .034 .056 .000 .211 .643 .658 .265 .037 .006 .019 .072 .000 .276 .876 .902 .373 .056 .006 .011 .084 .000 .285 .955 1.000 .424 .069 .007 .006 .093 .001 .229 .843 .894 .374 .062 .009 .004 .099 .008 .139 .598 .632 .248 .045 .012 .006 .096 .016 .070 .354 .360 .138 .038 .027 .016 .080 .017 .039 .201 .194 .089 .057 .070 .048 1246 .281 3846 .000 12.35775 .008762 .050294 .000247 Correlation Surface at 1346 3846 .029 .100 .192 .376 .512 .450 .349 .321 .311 .032 .067 .167 .395 .568 .523 .404 .312 .244 .029 .051 .158 .406 .679 .671 .482 .333 .198 .021 .047 .166 .450 .870 .813 .520 .357 .186 .015 .045 .164 .489 1.000 .856 .528 .357 .201 .014 .043 .140 .453 .901 .765 .501 .329 .235 .010 .039 .122 .387 .677 .611 .428 .293 .261 .006 .034 .127 .357 .534 .510 .367 .300 .280 .006 .037 .142 .347 .493 .487 .379 .371 .313 r_peak,r_snr = .3154838 6.30546 Correlation Surface of oversamples image at 1346 3846 .406 .526 .628 .700 .739 .735 .706 .686 .677 .430 .552 .668 .765 .819 .806 .758 .727 .714 .451 .583 .722 .845 .900 .859 .781 .738 .721 .460 .610 .782 .927 .969 .890 .779 .720 .694 .450 .621 .825 .982 1.000 .886 .752 .675 .635 .424 .610 .832 .986 .977 .843 .700 .610 .558 .393 .581 .801 .935 .906 .773 .634 .537 .482 .368 .547 .747 .852 .812 .690 .565 .473 .426 .359 .521 .687 .761 .717 .611 .507 .431 .399 1346 .250 3846 .188 6.30546 .006913 .050072 .001214 Correlation Surface at 1446 3846 .004 .000 .001 .072 .167 .087 .025 .055 .113 .001 .001 .004 .076 .246 .129 .042 .054 .087 .000 .000 .006 .116 .469 .257 .043 .020 .052 .011 .000 .008 .218 .827 .466 .052 .007 .020 .017 .001 .015 .353 1.000 .533 .078 .015 .007 .010 .001 .015 .317 .720 .356 .100 .044 .013 .014 .001 .008 .172 .381 .211 .145 .095 .037 .023 .005 .016 .126 .253 .226 .254 .177 .057 .012 .014 .059 .152 .241 .308 .304 .215 .041 r_peak,r_snr = .2090785 16.08683 Correlation Surface of oversamples image at 1446 3846 .076 .103 .180 .336 .476 .447 .300 .179 .121 .080 .110 .205 .416 .626 .610 .405 .214 .111 .074 .114 .239 .512 .792 .781 .511 .247 .101 .063 .117 .277 .608 .935 .912 .585 .269 .095 .051 .119 .312 .674 1.000 .943 .588 .267 .096 .044 .123 .332 .686 .962 .863 .525 .247 .103 .042 .124 .327 .639 .841 .717 .432 .221 .119 .039 .116 .296 .548 .684 .562 .344 .206 .152 .036 .107 .262 .466 .559 .450 .294 .223 .223 1446 .188 3846 -.531 16.08683 .006825 .038511 .003315 Correlation Surface at 1546 3846 .010 .009 .016 .226 .406 .235 .059 .002 .000 .007 .007 .015 .210 .382 .224 .061 .003 .000 .004 .006 .008 .212 .510 .327 .073 .004 .000 .000 .007 .003 .244 .812 .490 .084 .007 .000 .000 .005 .002 .294 1.000 .497 .081 .015 .000 .000 .002 .004 .297 .839 .382 .077 .024 .002 .003 .002 .004 .216 .591 .334 .086 .029 .003 .005 .004 .001 .138 .454 .332 .088 .021 .000 .003 .005 .002 .122 .405 .304 .075 .007 .010 r_peak,r_snr = .3294884 19.39204 Correlation Surface of oversamples image at 1546 3846 .001 .056 .211 .421 .562 .534 .373 .198 .080 .000 .049 .220 .484 .681 .651 .435 .214 .079 .000 .045 .236 .564 .820 .775 .495 .226 .078 .000 .047 .260 .645 .940 .867 .531 .228 .075 .000 .054 .288 .702 1.000 .895 .529 .221 .073 .001 .064 .307 .710 .974 .850 .495 .208 .073 .004 .070 .303 .661 .878 .759 .449 .197 .074 .005 .068 .272 .572 .754 .666 .412 .194 .079 .003 .056 .222 .470 .640 .597 .396 .201 .088 1546 .125 3846 .063 19.39204 .002266 .020901 .001088 Correlation Surface at 1646 3846 .098 .060 .115 .298 .451 .184 .001 .006 .001 .047 .029 .119 .312 .466 .217 .002 .001 .019 .035 .019 .106 .278 .550 .353 .019 .016 .076 .022 .015 .064 .236 .841 .546 .013 .003 .066 .001 .002 .025 .221 1.000 .482 .001 .005 .032 .003 .002 .012 .217 .728 .260 .005 .006 .025 .003 .011 .008 .195 .434 .157 .002 .003 .047 .000 .017 .004 .140 .293 .130 .026 .030 .078 .005 .008 .004 .089 .180 .080 .038 .041 .080 r_peak,r_snr = .1795374 16.0704 Correlation Surface of oversamples image at 1646 3846 .130 .194 .284 .396 .471 .425 .262 .108 .036 .087 .145 .250 .413 .570 .568 .372 .161 .054 .050 .102 .225 .459 .720 .748 .476 .187 .050 .027 .071 .209 .518 .886 .908 .524 .164 .024 .015 .051 .197 .563 1.000 .971 .487 .107 .003 .008 .038 .180 .563 .994 .900 .388 .055 .001 .005 .029 .159 .507 .866 .735 .283 .029 .004 .003 .024 .138 .423 .684 .554 .207 .023 .001 .002 .022 .126 .350 .527 .418 .171 .033 .002 1646 .219 3846 -.344 16.07040 .006664 .059983 .004588 Correlation Surface at 1846 3846 .031 .139 .204 .425 .542 .392 .179 .080 .042 .022 .102 .185 .368 .463 .399 .218 .086 .035 .034 .111 .197 .397 .604 .527 .274 .095 .038 .074 .126 .195 .480 .897 .646 .281 .115 .063 .105 .118 .193 .547 1.000 .582 .217 .128 .091 .066 .086 .199 .529 .769 .387 .143 .118 .081 .014 .045 .178 .428 .482 .267 .119 .105 .064 .000 .011 .118 .325 .327 .238 .143 .112 .066 .000 .006 .112 .347 .326 .238 .150 .121 .085 r_peak,r_snr = .251126 6.48967 Correlation Surface of oversamples image at 1846 3846 .206 .178 .201 .299 .435 .513 .515 .488 .435 .215 .198 .264 .440 .629 .673 .605 .536 .474 .223 .226 .348 .612 .841 .823 .667 .545 .469 .230 .256 .425 .750 .981 .892 .658 .494 .410 .237 .284 .479 .812 1.000 .847 .572 .394 .318 .242 .309 .506 .793 .904 .709 .435 .275 .221 .243 .324 .502 .707 .731 .527 .297 .177 .149 .232 .321 .466 .584 .544 .366 .202 .126 .117 .199 .291 .403 .455 .387 .256 .157 .117 .122 1846 .063 3846 -.219 6.48967 .008166 .046745 .006483 Correlation Surface at 1946 3846 .143 .179 .202 .318 .489 .507 .392 .242 .162 .145 .183 .188 .285 .471 .532 .405 .214 .134 .156 .191 .177 .275 .516 .596 .417 .206 .124 .163 .180 .172 .341 .746 .765 .441 .214 .128 .152 .152 .186 .464 1.000 .863 .429 .210 .122 .143 .147 .214 .507 .903 .675 .344 .196 .121 .146 .172 .240 .442 .604 .406 .246 .192 .144 .152 .199 .256 .385 .451 .293 .209 .203 .170 .169 .217 .259 .362 .422 .302 .232 .225 .177 r_peak,r_snr = .5012742 6.4798 Correlation Surface of oversamples image at 1946 3846 .139 .195 .301 .434 .530 .546 .488 .383 .262 .136 .208 .348 .523 .636 .630 .534 .405 .277 .144 .242 .432 .660 .782 .730 .581 .423 .288 .162 .295 .541 .815 .924 .810 .605 .424 .287 .188 .353 .641 .929 1.000 .828 .588 .400 .271 .212 .394 .685 .942 .964 .765 .526 .352 .241 .227 .402 .653 .844 .823 .634 .431 .291 .207 .233 .381 .570 .686 .639 .482 .330 .233 .178 .232 .348 .475 .535 .478 .355 .248 .188 .160 1946 .344 3846 .156 6.47980 .002170 .006433 .000945 Correlation Surface at 2046 3846 .020 .032 .091 .291 .553 .466 .213 .068 .028 .017 .023 .083 .303 .585 .462 .196 .055 .022 .015 .018 .077 .323 .686 .522 .189 .045 .015 .014 .017 .074 .384 .918 .641 .185 .035 .008 .016 .020 .075 .429 1.000 .670 .186 .030 .005 .017 .021 .072 .381 .788 .587 .195 .029 .004 .014 .018 .066 .294 .575 .514 .201 .027 .003 .013 .017 .067 .240 .494 .477 .188 .025 .002 .013 .021 .070 .220 .460 .430 .166 .026 .002 r_peak,r_snr = .5706426 12.36807 Correlation Surface of oversamples image at 2046 3846 .044 .113 .254 .446 .583 .572 .442 .286 .157 .042 .116 .274 .498 .663 .650 .491 .306 .161 .041 .123 .307 .580 .785 .764 .561 .332 .165 .041 .132 .348 .674 .915 .880 .628 .356 .168 .041 .140 .381 .741 1.000 .948 .664 .368 .168 .040 .144 .392 .749 .996 .938 .659 .367 .167 .038 .140 .373 .693 .908 .861 .620 .358 .167 .035 .129 .333 .601 .781 .756 .571 .348 .169 .032 .115 .288 .508 .663 .666 .531 .342 .172 2046 .156 3846 -.250 12.36808 .000948 .005275 .000095 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .015 .019 .158 .269 .324 .258 .084 .013 .003 .070 .001 .085 .187 .330 .343 .192 .072 .000 .098 .018 .049 .235 .592 .550 .244 .131 .037 .026 .000 .097 .426 .915 .718 .188 .070 .071 .001 .033 .202 .575 1.000 .640 .091 .005 .025 .019 .046 .161 .448 .852 .436 .037 .003 .000 .049 .026 .064 .261 .599 .284 .027 .010 .004 .090 .030 .051 .209 .413 .235 .052 .004 .003 .103 .052 .057 .233 .392 .297 .136 .002 .001 r_peak,r_snr = .1522093 13.28744 Correlation Surface of oversamples image at 146 4246 .031 .068 .177 .327 .339 .176 .055 .022 .014 .012 .056 .207 .450 .516 .295 .097 .033 .017 .013 .071 .268 .601 .720 .434 .143 .035 .009 .035 .116 .359 .750 .903 .564 .183 .030 .001 .076 .173 .448 .853 1.000 .642 .206 .020 .005 .105 .203 .493 .876 .982 .635 .200 .010 .028 .093 .177 .465 .816 .865 .541 .158 .001 .068 .043 .105 .364 .679 .683 .392 .092 .002 .127 .007 .044 .252 .521 .505 .255 .039 .018 .193 146 .375 4246 -1.313 13.28744 .031828 .315935 .045150 Correlation Surface at 246 4246 .003 .000 .006 .007 .114 .268 .144 .088 .262 .080 .023 .012 .015 .109 .315 .220 .128 .178 .108 .070 .006 .000 .290 .599 .430 .280 .147 .108 .086 .008 .073 .758 .936 .430 .215 .052 .222 .157 .084 .233 1.000 .704 .114 .009 .000 .321 .330 .222 .227 .666 .368 .054 .001 .008 .202 .363 .254 .072 .210 .305 .347 .180 .111 .057 .184 .125 .002 .020 .219 .691 .429 .128 .008 .052 .044 .000 .006 .014 .338 .288 .075 r_peak,r_snr = 9.66388E-02 9.04135 Correlation Surface of oversamples image at 246 4246 .000 .014 .093 .184 .166 .084 .040 .039 .066 .002 .021 .163 .332 .329 .202 .119 .113 .140 .000 .056 .297 .577 .610 .414 .249 .200 .196 .007 .128 .470 .842 .893 .613 .333 .205 .158 .045 .230 .615 .990 1.000 .647 .288 .115 .057 .122 .348 .705 .983 .901 .521 .174 .030 .002 .214 .443 .720 .863 .706 .356 .086 .002 .010 .261 .435 .614 .669 .510 .242 .055 .000 .016 .251 .342 .452 .500 .410 .231 .094 .020 .000 246 -5.250 4246 5.563 9.04135 .041420 .154113 .043721 Correlation Surface at 346 4246 .457 .405 .458 .604 .667 .532 .359 .207 .147 .385 .369 .445 .628 .697 .524 .322 .181 .141 .353 .373 .464 .649 .725 .534 .314 .195 .144 .387 .414 .527 .757 .862 .596 .341 .215 .122 .425 .431 .592 .888 1.000 .662 .389 .210 .095 .403 .412 .585 .866 .944 .654 .407 .189 .087 .367 .400 .536 .729 .792 .588 .373 .175 .098 .352 .399 .498 .650 .745 .585 .384 .212 .134 .339 .388 .487 .653 .803 .671 .467 .281 .184 r_peak,r_snr = .4775347 3.05173 Correlation Surface of oversamples image at 346 4246 .375 .480 .606 .727 .803 .789 .666 .479 .306 .412 .523 .661 .799 .885 .861 .711 .503 .321 .449 .569 .722 .870 .954 .913 .742 .523 .339 .471 .602 .769 .921 .994 .935 .754 .537 .359 .472 .614 .790 .940 1.000 .929 .748 .543 .377 .458 .602 .779 .924 .975 .900 .727 .539 .389 .442 .581 .748 .885 .933 .862 .701 .533 .401 .434 .560 .712 .839 .888 .824 .681 .534 .421 .431 .540 .673 .788 .835 .784 .664 .545 .452 346 -.500 4246 .344 3.05173 .004669 .019995 .000641 Correlation Surface at 446 4246 .030 .015 .149 .656 .559 .023 .041 .030 .011 .090 .019 .136 .567 .680 .164 .003 .004 .040 .086 .011 .074 .428 .782 .403 .113 .120 .194 .029 .003 .036 .423 .903 .654 .221 .205 .328 .010 .006 .074 .599 1.000 .765 .241 .182 .274 .026 .012 .134 .691 .980 .602 .197 .171 .220 .076 .008 .101 .473 .699 .346 .149 .181 .232 .093 .004 .032 .206 .401 .181 .095 .128 .175 .059 .008 .015 .112 .297 .119 .033 .037 .060 r_peak,r_snr = .1322167 10.05365 Correlation Surface of oversamples image at 446 4246 .049 .159 1.288 3.164 4.000 2.612 .514 .142 1.698 .054 .110 1.024 2.656 3.680 2.812 .837 .016 1.142 .077 .046 .687 2.077 3.346 3.024 1.235 .025 .512 .125 .003 .387 1.574 3.058 3.216 1.639 .193 .103 .227 .019 .160 1.161 2.790 3.338 2.015 .486 .003 446 -.531 4246 -1.813 10.05365 .112859 2.055831 .357196 Correlation Surface at 546 4246 .251 .276 .377 .619 .743 .530 .272 .137 .074 .235 .270 .381 .611 .789 .615 .338 .168 .076 .255 .298 .396 .639 .880 .716 .394 .178 .070 .273 .317 .401 .694 .982 .794 .414 .171 .066 .272 .314 .420 .752 1.000 .778 .395 .158 .076 .278 .313 .454 .789 .946 .706 .353 .139 .089 .286 .312 .472 .795 .932 .672 .327 .135 .100 .251 .289 .478 .790 .952 .683 .347 .167 .111 .200 .283 .501 .778 .911 .688 .396 .216 .121 r_peak,r_snr = .5354142 4.90766 Correlation Surface of oversamples image at 546 4246 .399 .504 .659 .835 .956 .955 .835 .649 .454 .391 .511 .680 .859 .974 .961 .826 .632 .438 .387 .525 .703 .882 .991 .974 .835 .639 .446 .390 .545 .727 .897 .998 .982 .848 .657 .469 .402 .570 .751 .908 1.000 .986 .863 .683 .504 546 -.281 4246 .781 4.90766 .004436 .093244 .011004 Correlation Surface at 646 4246 .397 .563 .770 .845 .831 .811 .841 .834 .695 .425 .586 .725 .777 .811 .823 .861 .867 .720 .508 .658 .742 .800 .880 .907 .907 .870 .716 .582 .739 .826 .891 .977 .985 .908 .785 .646 .568 .747 .909 .977 1.000 .977 .869 .710 .585 .495 .679 .916 .989 .949 .921 .848 .713 .590 .438 .593 .845 .953 .911 .905 .862 .767 .654 .418 .541 .760 .900 .883 .911 .875 .798 .710 .437 .550 .720 .834 .837 .917 .906 .800 .710 r_peak,r_snr = .5829693 2.09693 Correlation Surface of oversamples image at 646 4246 .654 .691 .713 .732 .757 .772 .772 .773 .790 .660 .703 .740 .782 .828 .852 .842 .823 .819 .685 .737 .789 .848 .907 .931 .906 .863 .836 .727 .789 .851 .914 .972 .986 .943 .880 .834 .780 .848 .907 .959 1.000 .995 .938 .866 .811 .830 .898 .943 .968 .981 .957 .892 .825 .775 .859 .924 .949 .944 .928 .889 .828 .776 .740 .859 .920 .929 .901 .863 .818 .768 .735 .717 .831 .892 .895 .854 .805 .761 .725 .712 .709 646 -1.719 4246 7.281 2.09693 .669191 .351000 .453589 Correlation Surface at 746 4246 .116 .019 .131 .701 .721 .126 .002 .068 .124 .130 .028 .145 .771 .788 .204 .006 .052 .136 .135 .042 .132 .808 .893 .338 .033 .020 .084 .178 .081 .083 .771 1.000 .421 .033 .013 .069 .215 .115 .058 .748 1.000 .371 .009 .027 .076 .170 .096 .052 .668 .871 .302 .005 .029 .062 .100 .057 .038 .525 .777 .346 .026 .012 .040 .083 .051 .020 .443 .792 .439 .060 .003 .033 .105 .082 .004 .400 .793 .445 .069 .001 .031 r_peak,r_snr = .2767607 9.76446 Correlation Surface of oversamples image at 746 4246 .002 .118 .420 .779 .951 .782 .404 .112 .008 .002 .124 .435 .789 .942 .759 .392 .119 .016 .003 .144 .482 .842 .969 .760 .396 .135 .028 .004 .162 .526 .892 .996 .769 .413 .158 .043 .003 .163 .537 .906 1.000 .778 .440 .184 .057 .000 .145 .515 .888 .991 .794 .474 .209 .066 .000 .117 .475 .854 .984 .822 .509 .226 .066 .004 .091 .430 .815 .975 .839 .525 .225 .056 .009 .071 .390 .773 .951 .828 .511 .206 .042 746 -.625 4246 -1.781 9.76446 .005533 .206179 .004225 Correlation Surface at 846 4246 .118 .041 .001 .018 .140 .028 .073 .003 .107 .051 .005 .000 .034 .174 .020 .069 .000 .186 .007 .002 .025 .192 .307 .010 .129 .045 .027 .000 .000 .073 .569 .713 .054 .170 .274 .048 .008 .000 .102 .801 1.000 .162 .134 .358 .107 .024 .002 .084 .620 .824 .161 .113 .286 .077 .027 .017 .005 .253 .552 .081 .144 .410 .213 .014 .047 .046 .028 .306 .028 .101 .586 .403 .014 .044 .095 .007 .082 .006 .004 .174 .058 r_peak,r_snr = .1093884 13.15727 Correlation Surface of oversamples image at 846 4246 .007 .026 .062 .134 .215 .186 .052 .003 .072 .012 .052 .132 .273 .392 .303 .081 .001 .072 .020 .087 .237 .478 .637 .472 .144 .001 .047 .030 .131 .366 .702 .870 .634 .227 .016 .018 .042 .181 .493 .872 1.000 .723 .295 .043 .003 .046 .208 .551 .904 .976 .710 .321 .064 .000 .031 .180 .491 .775 .824 .620 .300 .064 .000 .009 .108 .339 .560 .629 .501 .248 .048 .000 .000 .033 .165 .340 .446 .382 .183 .028 .003 846 -.625 4246 -1.781 13.15727 .022587 .150065 -.009464 Correlation Surface at 946 4246 .078 .167 .347 .365 .399 .206 .015 .002 .002 .080 .123 .363 .424 .359 .129 .011 .010 .006 .077 .073 .302 .417 .392 .137 .024 .042 .014 .053 .027 .174 .458 .672 .275 .068 .066 .012 .031 .005 .044 .407 1.000 .417 .082 .053 .007 .036 .003 .002 .204 .830 .328 .064 .051 .003 .058 .012 .001 .107 .477 .213 .084 .066 .000 .076 .038 .027 .188 .389 .232 .128 .045 .000 .099 .085 .140 .366 .426 .280 .124 .011 .000 r_peak,r_snr = .1789295 7.91888 Correlation Surface of oversamples image at 946 4246 .467 .557 .533 .458 .367 .234 .089 .016 .002 .389 .516 .577 .573 .499 .336 .148 .045 .019 .282 .447 .619 .730 .696 .496 .249 .101 .055 .163 .337 .605 .855 .895 .668 .358 .161 .089 .072 .211 .510 .870 1.000 .774 .422 .192 .104 .025 .110 .370 .767 .965 .768 .419 .191 .107 .009 .049 .237 .590 .802 .655 .359 .168 .105 .007 .027 .153 .421 .596 .498 .283 .145 .105 .019 .032 .128 .316 .432 .370 .228 .134 .108 946 -.063 4246 -.906 7.91888 .008818 .046079 -.005705 Correlation Surface at 1046 4246 .031 .148 .063 .059 .108 .001 .029 .070 .115 .049 .118 .045 .008 .041 .001 .001 .020 .045 .039 .030 .011 .004 .093 .032 .021 .018 .025 .000 .003 .005 .108 .426 .260 .084 .021 .029 .040 .049 .036 .495 1.000 .518 .112 .024 .020 .072 .040 .106 .637 .976 .398 .034 .019 .000 .025 .001 .099 .265 .373 .143 .001 .008 .085 .002 .004 .051 .051 .081 .092 .019 .214 .273 .004 .016 .041 .020 .052 .163 .100 .333 .243 r_peak,r_snr = .1155145 10.00802 Correlation Surface of oversamples image at 1046 4246 .005 .016 .007 .006 .085 .207 .212 .104 .013 .016 .003 .013 .120 .320 .465 .393 .191 .039 .006 .014 .142 .403 .668 .748 .544 .243 .050 .007 .136 .417 .751 .968 .924 .602 .238 .035 .099 .371 .675 .910 1.000 .866 .515 .168 .008 .267 .565 .722 .768 .746 .609 .339 .084 .001 .389 .590 .567 .472 .403 .324 .185 .037 .008 .360 .446 .335 .204 .140 .120 .088 .021 .006 .237 .262 .155 .054 .019 .023 .041 .023 .000 1046 -.406 4246 -.250 10.00803 .031290 .071896 .016240 Correlation Surface at 1146 4246 .130 .066 .001 .054 .055 .006 .455 .534 .511 .180 .082 .002 .012 .103 .010 .148 .378 .727 .424 .165 .001 .027 .008 .002 .004 .143 .673 .706 .343 .000 .289 .547 .003 .241 .019 .401 .684 .624 .033 .769 1.000 .064 .581 .000 .311 .332 .875 .195 .574 .446 .311 .512 .011 .400 .125 .783 .293 .094 .042 .333 .156 .068 .433 .075 .342 .140 .001 .000 .152 .000 .193 .444 .024 .026 .006 .011 .000 .022 .094 .428 .516 r_peak,r_snr = 8.39837E-02 6.50685 Correlation Surface of oversamples image at 1146 4246 .096 .171 .130 .071 .058 .079 .077 .019 .002 .058 .132 .129 .130 .206 .307 .221 .024 .023 .014 .074 .128 .242 .484 .648 .360 .017 .070 .004 .017 .111 .376 .805 .921 .385 .001 .151 .078 .003 .072 .458 1.000 .974 .288 .009 .255 .234 .061 .028 .441 .977 .813 .158 .048 .322 .410 .170 .002 .323 .750 .544 .061 .087 .312 .510 .264 .005 .170 .445 .291 .014 .102 .238 .467 .278 .025 .057 .198 .119 .000 .096 .146 1146 -.281 4246 .094 6.50685 .013705 .056785 .011453 Correlation Surface at 1246 4246 .149 .032 .019 .237 .356 .208 .001 .170 .202 .196 .076 .000 .166 .333 .170 .000 .142 .188 .219 .113 .010 .182 .464 .222 .001 .139 .228 .185 .094 .000 .323 .772 .377 .007 .111 .183 .135 .049 .020 .467 1.000 .432 .014 .049 .075 .110 .035 .019 .409 .847 .293 .010 .018 .035 .123 .049 .003 .275 .560 .195 .004 .031 .056 .155 .059 .001 .219 .395 .172 .001 .072 .080 .189 .052 .009 .219 .332 .157 .001 .063 .040 r_peak,r_snr = .2355407 11.43134 Correlation Surface of oversamples image at 1246 4246 .011 .028 .203 .422 .499 .386 .184 .035 .003 .005 .050 .269 .522 .610 .481 .242 .058 .000 .000 .093 .362 .655 .762 .612 .322 .091 .002 .006 .143 .455 .787 .912 .734 .392 .122 .009 .016 .176 .507 .866 1.000 .791 .417 .136 .016 .020 .174 .496 .855 .980 .750 .382 .127 .021 .013 .142 .431 .759 .857 .633 .313 .106 .021 .005 .101 .344 .619 .690 .502 .250 .089 .019 .001 .070 .267 .488 .543 .404 .212 .079 .015 1246 -.063 4246 .156 11.43135 .005535 .040403 .002731 Correlation Surface at 1346 4246 .015 .000 .022 .320 .638 .447 .194 .045 .024 .040 .014 .020 .294 .549 .512 .236 .052 .020 .055 .030 .012 .250 .565 .578 .243 .058 .017 .059 .040 .004 .275 .772 .694 .250 .044 .009 .062 .044 .004 .390 1.000 .768 .240 .022 .002 .048 .028 .019 .448 .898 .618 .201 .015 .000 .030 .012 .025 .331 .591 .391 .169 .020 .000 .034 .015 .005 .204 .426 .306 .163 .030 .000 .052 .040 .000 .161 .399 .326 .148 .023 .000 r_peak,r_snr = .2669814 7.07351 Correlation Surface of oversamples image at 1346 4246 .001 .063 .234 .465 .646 .674 .555 .377 .214 .000 .063 .261 .547 .762 .767 .597 .381 .203 .001 .075 .313 .656 .893 .860 .636 .386 .191 .003 .097 .375 .756 .985 .907 .646 .377 .175 .009 .127 .430 .811 1.000 .882 .611 .350 .158 .018 .154 .454 .796 .931 .793 .539 .309 .141 .026 .162 .436 .722 .813 .677 .459 .269 .129 .025 .148 .387 .627 .694 .577 .397 .242 .125 .016 .117 .324 .534 .599 .509 .363 .230 .124 1346 .063 4246 .313 7.07351 .006947 .040334 .004922 Correlation Surface at 1446 4246 .059 .066 .061 .182 .486 .373 .203 .135 .079 .057 .066 .087 .251 .568 .393 .183 .108 .065 .051 .051 .094 .281 .643 .477 .204 .105 .070 .049 .041 .081 .318 .829 .609 .221 .110 .079 .046 .034 .067 .374 1.000 .674 .217 .103 .080 .040 .029 .073 .404 .916 .598 .197 .092 .069 .033 .039 .104 .383 .682 .464 .175 .086 .060 .037 .062 .123 .296 .481 .367 .158 .084 .067 .045 .071 .103 .193 .360 .312 .138 .089 .104 r_peak,r_snr = .4117921 7.44714 Correlation Surface of oversamples image at 1446 4246 .097 .164 .295 .487 .644 .648 .514 .349 .227 .095 .166 .313 .538 .723 .728 .569 .376 .236 .091 .167 .338 .608 .828 .827 .631 .403 .246 .088 .172 .369 .685 .935 .921 .686 .426 .254 .086 .179 .400 .743 1.000 .970 .711 .436 .259 .088 .192 .424 .762 .996 .953 .699 .433 .259 .098 .209 .436 .738 .926 .878 .655 .416 .254 .115 .228 .435 .684 .826 .782 .597 .392 .246 .136 .244 .421 .619 .729 .695 .545 .369 .240 1446 .188 4246 .156 7.44714 .002034 .019658 .000789 Correlation Surface at 1546 4246 .007 .003 .012 .183 .384 .170 .010 .000 .001 .033 .017 .004 .152 .402 .164 .001 .002 .000 .055 .027 .001 .169 .519 .220 .001 .005 .001 .047 .020 .004 .283 .803 .353 .008 .003 .002 .041 .019 .008 .377 1.000 .432 .024 .001 .005 .045 .025 .008 .352 .897 .372 .023 .002 .012 .042 .019 .012 .284 .663 .258 .011 .004 .011 .028 .010 .008 .186 .459 .186 .006 .002 .003 .016 .009 .000 .109 .366 .190 .011 .000 .000 r_peak,r_snr = .3099958 21.45502 Correlation Surface of oversamples image at 1546 4246 .003 .038 .155 .349 .479 .401 .187 .035 .000 .003 .049 .201 .449 .615 .522 .254 .055 .001 .007 .072 .271 .581 .782 .668 .338 .086 .005 .012 .098 .337 .696 .926 .793 .413 .118 .013 .016 .114 .373 .757 1.000 .855 .452 .137 .019 .016 .116 .376 .757 .993 .841 .443 .136 .020 .013 .108 .355 .711 .918 .759 .390 .117 .016 .012 .099 .325 .639 .798 .636 .314 .089 .011 .011 .089 .289 .549 .657 .501 .235 .063 .007 1546 .063 4246 .188 21.45502 .002639 .031514 .000576 Correlation Surface at 1646 4246 .004 .001 .006 .094 .117 .005 .031 .052 .058 .034 .016 .000 .003 .001 .006 .002 .063 .083 .023 .019 .103 .167 .001 .061 .011 .048 .048 .002 .088 .173 .016 .192 .210 .030 .015 .020 .001 .065 .024 .275 1.000 .331 .000 .032 .229 .051 .096 .001 .459 .957 .183 .095 .080 .293 r_peak,r_snr = 8.54849E-02 9.79678 Correlation Surface of oversamples image at 1646 4246 .227 .105 .029 .000 .040 .121 .180 .187 .128 .185 .035 .007 .113 .276 .355 .305 .190 .076 .113 .000 .108 .403 .666 .666 .424 .150 .014 .065 .009 .230 .657 .984 .906 .482 .092 .003 .055 .011 .234 .664 1.000 .901 .420 .039 .036 .065 .001 .145 .467 .735 .654 .268 .009 .061 .071 .001 .059 .241 .399 .343 .112 .000 .059 .065 .009 .014 .088 .153 .115 .018 .011 .053 .045 .012 .001 .024 .041 .019 .001 .041 .053 1646 -7.844 4246 13.781 9.79678 .029436 .061097 .020849 Correlation Surface at 1746 4246 .044 .013 .056 .011 .001 .007 .000 .001 .004 .076 .091 .101 .003 .003 .001 .006 .006 .019 .065 .151 .120 .001 .165 .053 .000 .001 .024 .071 .110 .032 .123 .781 .271 .022 .027 .015 .049 .016 .015 .402 1.000 .319 .043 .009 .067 .004 .002 .075 .303 .427 .188 .066 .003 .173 .000 .003 .073 .130 .088 .103 .125 .001 .086 .002 .000 .058 .092 .021 .050 .131 .042 .005 .002 .001 .024 .064 .003 .005 .041 .031 .001 r_peak,r_snr = .1504773 27.50415 Correlation Surface of oversamples image at 1746 4246 .047 .011 .005 .059 .104 .076 .023 .002 .002 .040 .003 .043 .217 .346 .256 .089 .013 .000 .019 .004 .153 .504 .703 .491 .170 .029 .004 .001 .045 .326 .800 .984 .638 .212 .039 .008 .007 .115 .459 .910 1.000 .608 .197 .041 .011 .030 .165 .464 .773 .774 .456 .156 .043 .016 .052 .174 .371 .523 .488 .294 .119 .054 .030 .072 .167 .271 .321 .285 .185 .100 .077 .060 .094 .165 .211 .212 .179 .129 .093 .102 .099 1746 -.125 4246 -.188 27.50416 .009874 .024867 .003196 Correlation Surface at 1846 4246 .002 .003 .034 .157 .295 .270 .132 .043 .005 .000 .001 .037 .194 .371 .295 .125 .037 .007 .001 .002 .062 .289 .553 .396 .141 .040 .005 .003 .008 .098 .435 .857 .554 .160 .045 .005 .005 .012 .116 .502 1.000 .609 .154 .044 .007 .005 .012 .105 .398 .729 .449 .124 .026 .004 .005 .011 .080 .243 .381 .258 .087 .008 .000 .008 .014 .059 .163 .224 .156 .059 .002 .000 .015 .026 .063 .162 .182 .104 .034 .001 .000 r_peak,r_snr = .4501459 20.18339 Correlation Surface of oversamples image at 1846 4246 .094 .197 .337 .486 .577 .559 .454 .314 .185 .122 .239 .402 .591 .719 .697 .543 .350 .191 .149 .278 .466 .698 .867 .838 .628 .378 .194 .171 .307 .512 .776 .975 .936 .679 .387 .190 .182 .317 .522 .794 1.000 .954 .675 .370 .177 .180 .303 .489 .737 .924 .875 .610 .329 .157 .168 .270 .423 .623 .768 .722 .505 .276 .134 .146 .227 .344 .487 .584 .547 .391 .223 .111 .121 .185 .271 .367 .424 .397 .295 .178 .090 1846 .188 4246 -.125 20.18340 .001870 .006452 .000179 Correlation Surface at 1946 4246 .025 .066 .083 .187 .321 .206 .051 .025 .037 .018 .043 .066 .165 .290 .198 .050 .025 .036 .009 .022 .050 .184 .410 .328 .093 .043 .044 .005 .016 .051 .280 .752 .569 .150 .061 .052 .005 .018 .069 .404 1.000 .614 .155 .073 .056 .005 .016 .079 .410 .807 .432 .139 .098 .061 .003 .010 .071 .314 .512 .301 .142 .129 .069 .001 .011 .062 .244 .389 .272 .145 .128 .081 .003 .020 .061 .225 .365 .260 .133 .108 .088 r_peak,r_snr = .5021008 10.21287 Correlation Surface of oversamples image at 1946 4246 .046 .093 .180 .299 .404 .425 .338 .205 .109 .045 .103 .220 .393 .556 .595 .471 .286 .153 .051 .125 .282 .525 .752 .786 .599 .353 .187 .062 .154 .353 .661 .925 .921 .661 .372 .194 .076 .183 .412 .749 1.000 .937 .630 .340 .179 .087 .203 .437 .754 .949 .835 .535 .286 .159 .091 .206 .420 .683 .808 .679 .427 .237 .147 .086 .192 .375 .575 .648 .534 .345 .207 .147 .076 .170 .322 .474 .522 .436 .299 .198 .155 1946 .156 4246 -.031 10.21288 .001240 .004397 .000474 Correlation Surface at 2046 4246 .010 .000 .025 .181 .551 .467 .196 .071 .069 .057 .016 .013 .167 .526 .506 .255 .117 .063 .081 .025 .001 .124 .654 .633 .278 .143 .029 .051 .018 .002 .111 .904 .730 .308 .160 .013 .033 .018 .004 .145 1.000 .668 .378 .206 .036 .050 .037 .008 .148 .790 .550 .464 .305 .130 .099 .067 .018 .093 .582 .564 .564 .431 .260 .167 .088 .019 .071 .547 .694 .618 .473 .323 .186 .075 .008 .076 .477 .666 .545 .406 .276 r_peak,r_snr = .2085066 4.99403 Correlation Surface of oversamples image at 2046 4246 .009 .073 .240 .460 .591 .546 .405 .283 .213 .003 .068 .275 .560 .717 .632 .446 .311 .240 .001 .074 .333 .695 .861 .710 .475 .334 .265 .001 .094 .415 .835 .972 .747 .490 .358 .288 .006 .134 .508 .937 1.000 .728 .489 .383 .309 .018 .187 .587 .960 .936 .663 .479 .408 .331 .036 .235 .622 .911 .830 .596 .476 .437 .359 .049 .250 .593 .814 .727 .553 .489 .469 .391 .046 .219 .507 .695 .647 .541 .512 .492 .412 2046 .281 4246 -.375 4.99403 .005342 .081861 .004932 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .269 .154 .193 .405 .663 .965 .856 .502 .288 .325 .204 .265 .423 .605 .901 .829 .506 .257 .383 .344 .436 .548 .707 .813 .696 .516 .244 .460 .544 .661 .740 .963 .768 .491 .448 .242 .493 .612 .725 .784 1.000 .690 .312 .314 .263 .463 .520 .551 .590 .706 .555 .268 .226 .300 .401 .398 .367 .410 .515 .509 .356 .227 .308 .330 .323 .299 .390 .545 .529 .429 .282 .317 .269 .287 .313 .478 .635 .483 .359 .328 .341 r_peak,r_snr = .2426004 3.31979 Correlation Surface of oversamples image at 146 4646 1.990 2.114 2.683 3.529 4.000 3.784 3.191 2.602 2.150 1.691 1.838 2.481 3.418 3.927 3.677 3.069 2.483 2.019 1.484 1.680 2.383 3.334 3.792 3.500 2.916 2.363 1.878 1.458 1.726 2.444 3.288 3.619 3.327 2.834 2.330 1.803 1.675 2.037 2.709 3.311 3.435 3.175 2.828 2.382 1.792 146 1.625 4646 -3.781 3.31979 .020264 .046290 .002419 Correlation Surface at 246 4646 .025 .016 .029 .157 .240 .172 .181 .179 .149 .121 .077 .082 .316 .333 .186 .215 .236 .240 .104 .077 .069 .370 .588 .381 .310 .212 .240 .007 .019 .031 .339 .886 .704 .418 .188 .189 .004 .002 .013 .288 1.000 .892 .419 .151 .177 .000 .002 .000 .132 .745 .769 .236 .032 .108 .019 .002 .030 .018 .414 .510 .071 .002 .027 .021 .002 .086 .000 .201 .215 .007 .004 .022 .006 .005 .041 .007 .110 .028 .017 .003 .055 r_peak,r_snr = .1197172 9.72662 Correlation Surface of oversamples image at 246 4646 .021 .207 .469 .582 .527 .421 .324 .228 .127 .010 .183 .492 .702 .723 .628 .497 .343 .182 .006 .165 .500 .792 .896 .825 .662 .447 .233 .003 .141 .478 .825 .999 .953 .757 .488 .242 .001 .107 .417 .782 1.000 .969 .746 .443 .194 .000 .069 .330 .675 .900 .877 .646 .341 .124 .005 .034 .235 .529 .734 .718 .504 .235 .069 .017 .012 .153 .384 .552 .544 .370 .158 .042 .030 .004 .104 .278 .402 .395 .264 .113 .036 246 .656 4646 -1.719 9.72662 .036679 .208895 -.034131 Correlation Surface at 346 4646 .276 .344 .594 .895 .928 .756 .364 .289 .301 .211 .294 .489 .754 .823 .693 .343 .293 .290 .210 .231 .360 .691 .839 .711 .458 .397 .309 .262 .214 .284 .646 .945 .833 .631 .457 .278 .304 .271 .319 .619 1.000 .880 .675 .424 .228 .312 .376 .444 .665 .971 .818 .633 .386 .201 .317 .467 .546 .715 .951 .805 .631 .382 .170 .334 .501 .554 .670 .949 .877 .685 .407 .154 .324 .481 .514 .571 .856 .843 .665 .425 .188 r_peak,r_snr = .2599452 3.31201 Correlation Surface of oversamples image at 346 4646 .511 .672 .800 .895 .919 .815 .597 .390 .292 .434 .627 .791 .904 .929 .830 .637 .450 .346 .381 .593 .790 .923 .955 .869 .707 .538 .418 .360 .576 .795 .948 .985 .913 .781 .627 .488 .372 .579 .804 .965 1.000 .935 .824 .684 .536 .413 .605 .821 .971 .989 .916 .816 .692 .552 .465 .642 .838 .963 .957 .872 .777 .670 .549 .504 .662 .837 .939 .917 .829 .738 .643 .539 .518 .652 .808 .907 .895 .816 .728 .637 .535 346 .344 4646 -.219 3.31201 .018362 .580799 .011848 Correlation Surface at 446 4646 .243 .235 .186 .248 .187 .232 .283 .296 .227 .206 .200 .201 .342 .420 .400 .253 .239 .267 .086 .140 .264 .509 .705 .589 .179 .101 .216 .030 .081 .305 .647 .941 .760 .174 .069 .170 .066 .116 .354 .691 1.000 .783 .242 .141 .169 r_peak,r_snr = .171366 8.41983 Correlation Surface of oversamples image at 446 4646 .077 .144 .217 .300 .375 .323 .176 .088 .065 .101 .202 .323 .465 .561 .436 .188 .055 .023 .132 .266 .431 .636 .752 .556 .211 .040 .007 .166 .326 .519 .777 .913 .664 .247 .043 .007 .202 .371 .574 .857 1.000 .730 .285 .059 .017 .235 .394 .584 .855 .992 .734 .307 .080 .033 .260 .387 .544 .779 .903 .676 .298 .090 .044 .267 .345 .458 .650 .761 .573 .257 .079 .037 .247 .275 .349 .503 .604 .462 .207 .058 .020 446 .438 4646 13.719 8.41983 .045868 .178166 .021024 Correlation Surface at 546 4646 .277 .398 .535 .797 .896 .640 .429 .311 .207 .274 .375 .452 .679 .783 .642 .508 .374 .236 .248 .321 .398 .636 .814 .746 .589 .417 .244 .214 .283 .419 .706 .949 .854 .574 .375 .220 .193 .284 .483 .797 1.000 .805 .478 .320 .220 .186 .313 .536 .806 .901 .667 .428 .348 .275 .192 .334 .529 .743 .801 .611 .477 .440 .357 .197 .323 .481 .690 .779 .666 .558 .470 .389 .191 .295 .435 .683 .811 .713 .539 .389 .339 r_peak,r_snr = .6093192 4.29842 Correlation Surface of oversamples image at 546 4646 .114 .210 .326 .452 .569 .660 .695 .667 .573 .153 .259 .390 .538 .677 .773 .791 .722 .577 .210 .337 .495 .671 .819 .890 .857 .728 .540 .276 .430 .616 .809 .942 .958 .854 .675 .477 .334 .512 .714 .903 1.000 .953 .789 .591 .418 .368 .554 .753 .922 .980 .888 .700 .518 .391 .370 .545 .724 .866 .900 .797 .624 .485 .412 .346 .500 .653 .772 .801 .720 .592 .509 .493 .309 .441 .573 .679 .718 .679 .611 .589 .626 546 .063 4646 5.063 4.29842 .003502 .015684 .003755 Correlation Surface at 646 4646 .010 .104 .187 .139 .197 .235 .072 .001 .014 .015 .101 .134 .150 .334 .444 .138 .004 .008 .014 .078 .107 .279 .633 .587 .115 .001 .010 .000 .024 .087 .431 .959 .595 .071 .023 .028 .015 .000 .055 .409 1.000 .552 .076 .014 .044 .046 .019 .029 .313 .810 .515 .134 .000 .033 .043 .018 .021 .243 .598 .442 .161 .010 .019 .018 .002 .028 .223 .474 .305 .117 .007 .013 .007 .000 .045 .243 .373 .176 .086 .004 .011 r_peak,r_snr = .2324344 15.89539 Correlation Surface of oversamples image at 646 4646 .046 .094 .194 .344 .500 .558 .429 .206 .048 .037 .112 .281 .519 .701 .679 .444 .176 .026 .029 .127 .360 .679 .879 .777 .451 .154 .016 .022 .132 .406 .776 .984 .834 .459 .151 .016 .016 .130 .413 .791 1.000 .850 .478 .173 .030 .013 .125 .393 .744 .944 .831 .508 .224 .068 .012 .120 .357 .659 .839 .773 .527 .284 .125 .014 .116 .319 .566 .715 .680 .508 .320 .174 .018 .111 .284 .485 .597 .568 .444 .308 .191 646 .031 4646 .844 15.89539 .006153 .104761 -.002165 Correlation Surface at 746 4646 .136 .131 .222 .338 .399 .292 .158 .043 .002 .062 .057 .174 .416 .591 .456 .217 .048 .001 .011 .017 .151 .526 .862 .638 .212 .029 .001 .002 .019 .202 .622 1.000 .568 .119 .008 .005 .010 .050 .265 .629 .909 .412 .066 .006 .003 .031 .064 .257 .587 .821 .388 .070 .012 .000 .034 .050 .237 .591 .798 .420 .091 .014 .001 .016 .034 .244 .603 .730 .392 .103 .011 .002 r_peak,r_snr = .2725129 6.61689 Correlation Surface of oversamples image at 746 4646 .005 .052 .173 .337 .436 .402 .282 .169 .094 .000 .049 .217 .465 .633 .602 .429 .248 .121 .000 .060 .279 .609 .833 .785 .533 .276 .109 .002 .091 .358 .740 .977 .867 .528 .228 .067 .014 .141 .433 .812 1.000 .807 .418 .138 .025 .045 .196 .476 .799 .902 .653 .281 .064 .004 .080 .230 .468 .715 .751 .498 .179 .024 .000 .097 .229 .423 .616 .628 .400 .128 .011 .001 .096 .213 .381 .551 .571 .369 .119 .010 .001 746 1.031 4646 -12.188 6.61689 .008780 .083395 .012354 Correlation Surface at 846 4646 .000 .001 .012 .012 .097 .024 .020 .044 .002 .033 .009 .011 .051 .242 .129 .072 .053 .000 .058 .019 .001 .213 .582 .354 .167 .074 .004 .045 .006 .016 .462 .967 .589 .237 .092 .016 .014 .010 .090 .586 1.000 .587 .304 .145 .015 .004 .116 .168 .462 .635 .406 .331 .168 .007 .048 .244 .194 .245 .298 .208 .217 .098 .007 .020 .188 .148 .111 .114 .088 .099 .047 .014 .004 .070 .058 .043 .041 .033 .056 .049 .026 r_peak,r_snr = .1584497 18.08416 Correlation Surface of oversamples image at 846 4646 .000 .018 .123 .340 .511 .457 .303 .209 .181 .003 .051 .211 .481 .669 .597 .409 .281 .223 .015 .101 .312 .621 .814 .732 .523 .363 .273 .034 .156 .406 .734 .930 .850 .635 .453 .332 .056 .205 .476 .810 1.000 .925 .718 .536 .400 .082 .240 .513 .826 .987 .910 .734 .588 .466 .115 .266 .513 .768 .870 .782 .651 .564 .491 .154 .281 .474 .645 .675 .575 .483 .453 .439 .198 .288 .410 .491 .464 .363 .298 .302 .329 846 .094 4646 -.313 18.08417 .021967 .085188 .008292 Correlation Surface at 946 4646 .042 .003 .060 .175 .204 .170 .123 .366 .322 .037 .012 .118 .201 .212 .128 .068 .188 .410 .043 .049 .294 .414 .352 .120 .018 .026 .240 .021 .034 .303 .569 .666 .277 .025 .000 .040 .003 .001 .081 .422 1.000 .504 .066 .004 .008 .093 .077 .000 .246 .950 .332 .038 .083 .068 .253 .165 .001 .230 .648 .067 .000 .136 .231 .219 .058 .051 .356 .529 .027 .018 .065 .232 .048 .009 .263 .521 .561 .064 .008 .033 .118 r_peak,r_snr = .112259 9.40998 Correlation Surface of oversamples image at 946 4646 .683 1.266 2.405 3.613 4.000 .731 1.178 2.056 3.101 3.723 .612 .868 1.456 2.292 3.049 .400 .467 .778 1.344 2.064 .209 .151 .244 .513 1.013 946 3.594 4646 -3.813 9.40998 .029473 .212835 -.032821 Correlation Surface at 1046 4646 .002 .003 .000 .012 .151 .222 .093 .003 .006 .024 .000 .011 .022 .247 .296 .108 .016 .033 .017 .035 .041 .084 .458 .440 .125 .021 .030 .000 .097 .028 .208 .781 .608 .072 .003 .006 .001 .057 .002 .306 1.000 .581 .006 .006 .002 .002 .013 .001 .295 .830 .299 .017 .024 .011 .007 .002 .007 .251 .525 .114 .031 .026 .009 .001 .000 .028 .272 .417 .111 .004 .009 .000 .007 .003 .065 .290 .448 .191 .002 .000 .007 r_peak,r_snr = .1673424 22.87874 Correlation Surface of oversamples image at 1046 4646 .094 .003 .070 .281 .493 .604 .516 .269 .079 .073 .000 .125 .389 .641 .764 .612 .276 .056 .031 .014 .202 .518 .806 .908 .656 .238 .022 .002 .053 .297 .651 .945 .974 .608 .157 .000 .009 .116 .394 .752 1.000 .922 .476 .071 .013 .047 .188 .471 .793 .953 .772 .317 .017 .051 .094 .249 .515 .772 .832 .588 .189 .001 .081 .128 .286 .522 .705 .682 .431 .117 .000 .078 .141 .294 .495 .609 .543 .327 .088 .000 .051 1046 .219 4646 .313 22.87874 .011851 .091794 .013316 Correlation Surface at 1246 4646 .000 .037 .002 .024 .002 .023 .249 .310 .021 .005 .022 .134 .099 .072 .299 .461 .220 .000 .027 .013 .243 .030 .412 .615 .541 .123 .009 .201 .180 .126 .047 .811 .588 .396 .078 .013 .314 .371 .029 .306 1.000 .489 .226 .015 .032 .293 .316 .004 .397 .903 .486 .130 .001 .076 r_peak,r_snr = .1075413 8.01793 Correlation Surface of oversamples image at 1246 4646 .110 .090 .000 .141 .372 .469 .467 .481 .493 .140 .065 .012 .262 .555 .604 .497 .431 .406 .119 .016 .079 .459 .751 .674 .443 .317 .275 .071 .002 .223 .699 .916 .684 .362 .207 .157 .029 .040 .390 .882 1.000 .659 .297 .134 .079 .008 .086 .467 .912 .968 .606 .257 .095 .038 .001 .091 .407 .771 .813 .518 .226 .075 .021 .000 .058 .270 .542 .599 .409 .195 .068 .019 .000 .026 .149 .340 .408 .304 .163 .071 .030 1246 -10.188 4646 13.219 8.01793 .039171 .544216 .101819 Correlation Surface at 1346 4646 .116 .135 .178 .337 .648 .649 .418 .188 .076 .098 .093 .143 .340 .659 .554 .354 .187 .081 .094 .084 .130 .376 .791 .577 .321 .190 .080 .124 .110 .142 .440 .981 .671 .318 .171 .072 .145 .131 .163 .482 1.000 .696 .337 .161 .069 .146 .136 .179 .469 .859 .668 .364 .165 .080 .134 .144 .196 .461 .784 .667 .371 .157 .091 .109 .154 .229 .519 .834 .648 .307 .129 .090 .085 .145 .265 .570 .815 .541 .235 .127 .092 r_peak,r_snr = .336926 7.42133 Correlation Surface of oversamples image at 1346 4646 .165 .241 .384 .578 .715 .707 .598 .475 .361 .144 .224 .389 .619 .775 .750 .613 .473 .360 .127 .212 .403 .673 .854 .812 .638 .474 .360 .121 .213 .430 .740 .942 .875 .660 .472 .354 .122 .222 .460 .796 1.000 .908 .664 .464 .345 .128 .232 .477 .812 .999 .892 .646 .451 .338 .136 .238 .472 .778 .938 .836 .617 .445 .339 .141 .235 .443 .704 .841 .767 .597 .454 .350 .142 .225 .400 .616 .741 .710 .594 .474 .363 1346 .063 4646 .250 7.42133 .004183 .080607 .001156 Correlation Surface at 1446 4646 .007 .000 .000 .081 .358 .243 .049 .057 .101 .023 .004 .001 .075 .400 .267 .078 .081 .050 .019 .000 .005 .156 .566 .261 .069 .071 .037 .007 .009 .055 .376 .878 .270 .046 .047 .045 .001 .017 .071 .499 1.000 .257 .030 .035 .039 .000 .008 .023 .336 .673 .160 .017 .026 .024 .001 .006 .005 .153 .318 .090 .008 .015 .022 .001 .009 .006 .073 .178 .095 .007 .012 .026 .002 .008 .010 .048 .160 .134 .016 .020 .025 r_peak,r_snr = .2284093 13.39482 Correlation Surface of oversamples image at 1446 4646 .001 .022 .130 .365 .544 .451 .233 .100 .063 .013 .058 .217 .508 .674 .501 .226 .086 .054 .040 .115 .336 .687 .834 .568 .232 .082 .053 .065 .163 .434 .834 .966 .627 .246 .087 .059 .068 .173 .461 .877 1.000 .640 .252 .093 .066 .053 .148 .416 .801 .913 .585 .233 .089 .065 .036 .111 .333 .651 .744 .480 .194 .075 .056 .026 .083 .254 .495 .562 .368 .155 .062 .045 .025 .069 .198 .371 .416 .283 .130 .055 .037 1446 -.125 4646 -.094 13.39483 .004386 .030696 .001050 Correlation Surface at 1546 4646 .039 .002 .024 .131 .239 .099 .021 .003 .003 .022 .003 .005 .069 .235 .166 .038 .001 .005 .024 .014 .002 .051 .374 .345 .057 .000 .009 .040 .031 .007 .108 .763 .547 .049 .004 .014 .049 .036 .002 .230 1.000 .460 .014 .018 .016 .039 .020 .003 .277 .672 .203 .000 .028 .009 .021 .004 .018 .199 .298 .090 .000 .015 .002 .007 .000 .021 .114 .163 .087 .013 .001 .000 .003 .000 .011 .069 .133 .122 .052 .002 .001 r_peak,r_snr = .3105737 30.07417 Correlation Surface of oversamples image at 1546 4646 .015 .081 .218 .351 .381 .293 .165 .072 .024 .009 .086 .264 .464 .533 .416 .224 .085 .021 .008 .105 .347 .631 .731 .555 .278 .090 .014 .010 .140 .459 .822 .917 .654 .297 .078 .005 .017 .188 .573 .965 1.000 .652 .263 .053 .000 .032 .240 .643 .981 .919 .537 .189 .028 .001 .055 .278 .632 .850 .708 .368 .110 .010 .004 .083 .289 .544 .638 .473 .219 .055 .002 .007 .111 .273 .426 .442 .301 .131 .030 .000 .007 1546 .250 4646 -.344 30.07417 .002468 .011094 .001956 Correlation Surface at 1746 4646 .043 .193 .460 .276 .084 .023 .055 .407 .610 .038 .098 .326 .216 .088 .014 .008 .246 .513 .006 .010 .188 .277 .219 .062 .031 .193 .380 .002 .000 .146 .508 .662 .236 .054 .108 .241 .005 .001 .221 .680 1.000 .324 .033 .043 .127 .004 .038 .410 .573 .681 .184 .034 .033 .041 r_peak,r_snr = .1159982 6.59186 Correlation Surface of oversamples image at 1746 4646 .180 .515 1.457 2.887 4.000 .070 .297 1.139 2.510 3.607 .037 .234 1.021 2.258 3.214 .060 .273 .993 2.028 2.800 .152 .364 .940 1.725 2.339 1746 13.719 4646 9.188 6.59186 .025664 .065182 .004040 Correlation Surface at 1846 4646 .027 .145 .243 .293 .404 .359 .243 .155 .128 .032 .148 .214 .303 .520 .451 .248 .159 .165 .044 .128 .173 .331 .694 .588 .285 .194 .189 .050 .113 .170 .415 .904 .715 .338 .224 .179 .051 .108 .187 .518 1.000 .719 .364 .215 .138 .058 .103 .191 .548 .858 .602 .367 .181 .098 .065 .103 .196 .492 .636 .509 .365 .156 .079 .060 .113 .227 .441 .516 .456 .342 .156 .083 .047 .122 .260 .422 .462 .385 .312 .164 .091 r_peak,r_snr = .448442 9.07419 Correlation Surface of oversamples image at 1846 4646 .228 .256 .343 .510 .690 .748 .640 .465 .319 .215 .254 .362 .565 .778 .829 .687 .488 .336 .214 .269 .404 .645 .877 .904 .722 .502 .350 .220 .296 .462 .734 .962 .949 .734 .508 .364 .226 .326 .522 .805 1.000 .944 .716 .506 .377 .229 .350 .565 .832 .976 .887 .675 .499 .390 .228 .365 .582 .812 .901 .799 .625 .492 .401 .227 .373 .580 .763 .806 .710 .580 .488 .410 .229 .379 .568 .708 .721 .639 .549 .486 .413 1846 .156 4646 -.063 9.07419 .002611 .018126 .002079 Correlation Surface at 1946 4646 .036 .063 .127 .295 .578 .710 .516 .307 .255 .036 .069 .146 .335 .593 .616 .427 .272 .316 .031 .062 .154 .385 .665 .605 .358 .247 .340 .030 .065 .147 .414 .862 .746 .330 .239 .333 .030 .064 .134 .430 1.000 .841 .344 .262 .342 .019 .056 .139 .426 .829 .714 .398 .307 .342 .013 .064 .176 .404 .571 .535 .436 .314 .289 .025 .104 .233 .408 .490 .459 .403 .256 .230 .049 .133 .271 .451 .530 .453 .348 .197 .211 r_peak,r_snr = .3267922 5.1403 Correlation Surface of oversamples image at 1946 4646 .279 .429 .598 .710 .724 .655 .544 .450 .377 .277 .436 .634 .778 .793 .689 .544 .438 .367 .265 .435 .674 .871 .902 .761 .571 .443 .369 .247 .425 .696 .941 .988 .821 .599 .457 .383 .233 .409 .685 .944 1.000 .834 .619 .481 .411 .224 .390 .641 .871 .924 .794 .626 .515 .451 .225 .374 .576 .747 .790 .715 .620 .550 .493 .241 .372 .520 .625 .652 .630 .606 .579 .527 .271 .384 .486 .536 .547 .558 .581 .586 .533 1946 .344 4646 -.188 5.14030 .005200 .026267 .000558 Correlation Surface at 2046 4646 .017 .021 .001 .019 .110 .133 .033 .030 .067 .012 .023 .005 .013 .131 .063 .003 .042 .044 .003 .004 .008 .112 .342 .153 .029 .083 .040 .000 .001 .084 .377 .830 .480 .149 .113 .044 .000 .008 .125 .459 1.000 .526 .171 .098 .040 .001 .009 .072 .277 .533 .159 .064 .046 .015 .000 .000 .008 .098 .175 .012 .012 .007 .001 .018 .038 .025 .011 .069 .005 .009 .001 .001 .066 .077 .065 .001 .032 .019 .025 .015 .011 r_peak,r_snr = .1881572 18.72069 Correlation Surface of oversamples image at 2046 4646 .000 .014 .079 .180 .258 .278 .212 .104 .044 .014 .063 .176 .332 .458 .487 .370 .192 .089 .057 .139 .301 .533 .729 .757 .554 .282 .131 .104 .204 .402 .702 .961 .959 .652 .312 .140 .124 .221 .423 .741 1.000 .934 .572 .249 .106 .107 .186 .360 .627 .805 .676 .357 .132 .051 .073 .133 .262 .440 .512 .365 .151 .040 .012 .040 .086 .174 .273 .275 .155 .042 .005 .000 .014 .048 .107 .158 .139 .060 .008 .000 .001 2046 .219 4646 -.219 18.72070 .010241 .024126 .003015 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .014 .034 .172 .269 .417 .395 .303 .201 .209 .010 .028 .114 .194 .392 .452 .310 .233 .250 .007 .025 .069 .155 .379 .410 .185 .162 .190 .010 .002 .035 .225 .607 .559 .142 .081 .108 .024 .009 .025 .364 1.000 .831 .141 .039 .086 .052 .018 .045 .351 .988 .820 .149 .064 .138 .076 .010 .073 .232 .655 .617 .230 .183 .212 .042 .001 .089 .199 .530 .533 .343 .292 .229 .000 .012 .082 .201 .546 .496 .299 .272 .229 r_peak,r_snr = .2062086 9.66964 Correlation Surface of oversamples image at 146 5046 .144 .211 .303 .401 .448 .406 .320 .241 .188 .131 .248 .399 .540 .586 .500 .362 .240 .160 .145 .321 .542 .734 .773 .625 .415 .239 .133 .175 .401 .675 .908 .936 .721 .439 .223 .107 .210 .447 .733 .981 1.000 .741 .423 .199 .090 .228 .429 .688 .926 .942 .681 .377 .178 .087 .220 .366 .579 .797 .812 .581 .327 .171 .098 .205 .305 .479 .671 .686 .497 .300 .186 .131 .193 .268 .420 .590 .605 .454 .303 .222 .180 146 .281 5046 -.469 9.66964 .011610 .043554 -.001211 Correlation Surface at 246 5046 .692 .445 .833 1.390 1.694 1.809 2.723 2.536 2.162 .282 .184 .827 .190 .094 1.490 3.997 4.025 3.186 .012 .078 .744 .004 .101 1.000 3.487 3.908 2.604 .015 .112 .601 .006 .484 .258 1.643 2.213 1.365 .092 .176 .568 .000 1.000 .002 .257 .931 1.077 .032 .101 .397 .000 .556 .002 .029 .575 1.616 .000 .025 .172 .161 .014 .279 .219 1.008 2.449 .085 .087 .494 1.296 .652 .224 .350 1.828 2.492 .508 .351 1.962 3.294 1.079 .029 .184 2.593 2.160 r_peak,r_snr = 4.12211E-02 1.07204 Correlation Surface of oversamples image at 246 5046 .196 .030 .099 .397 .199 .023 .709 1.750 2.226 .289 .073 .058 .410 .334 .003 .378 1.213 1.626 .358 .124 .029 .431 .529 .093 .117 .717 1.107 .401 .150 .028 .523 .786 .283 .008 .357 .697 .411 .127 .056 .668 1.000 .443 .006 .156 .396 .338 .070 .108 .748 .993 .427 .013 .076 .201 .221 .029 .113 .577 .659 .226 .000 .071 .114 .130 .021 .039 .224 .235 .044 .022 .102 .093 .096 .049 .005 .006 .015 .000 .058 .118 .094 246 -8.094 5046 -1.750 1.07204 .023518 .236319 -.014340 Correlation Surface at 346 5046 .009 .006 .064 .189 .276 .191 .006 .002 .012 .001 .070 .093 .276 .416 .268 .014 .007 .031 .037 .169 .101 .338 .580 .322 .017 .007 .001 .043 .160 .119 .458 .778 .339 .006 .000 .014 .007 .116 .214 .619 1.000 .410 .004 .015 .017 .001 .115 .282 .521 .892 .429 .020 .032 .015 .027 .127 .247 .315 .536 .340 .055 .040 .038 .080 .092 .184 .243 .375 .322 .124 .010 .023 .084 .027 .083 .201 .357 .374 .220 .003 .000 r_peak,r_snr = .1613353 15.68995 Correlation Surface of oversamples image at 346 5046 .035 .060 .164 .368 .581 .607 .378 .134 .036 .033 .070 .211 .476 .714 .688 .380 .105 .013 .041 .099 .289 .613 .856 .757 .374 .080 .002 .055 .138 .370 .733 .963 .799 .366 .067 .000 .075 .177 .422 .789 1.000 .806 .371 .075 .000 .092 .197 .417 .744 .931 .755 .373 .101 .007 .103 .198 .370 .623 .777 .653 .363 .137 .028 .116 .201 .323 .498 .611 .544 .356 .186 .069 .125 .205 .290 .401 .478 .458 .358 .243 .125 346 .031 5046 -.563 15.68995 .014512 .124040 -.001882 Correlation Surface at 446 5046 .045 .027 .082 .285 .156 .001 .126 .148 .019 .028 .016 .014 .149 .170 .045 .089 .221 .110 .000 .002 .002 .176 .404 .187 .043 .256 .236 .012 .018 .006 .274 .822 .234 .094 .320 .296 .004 .001 .000 .333 1.000 .096 .278 .446 .442 .001 .016 .017 .304 .757 .023 .363 .409 .445 .000 .013 .015 .221 .450 .030 .159 .147 .195 .026 .016 .003 .162 .257 .041 .046 .058 .094 .086 .147 .048 .109 .167 .031 .049 .123 .125 r_peak,r_snr = .106047 8.0541 Correlation Surface of oversamples image at 446 5046 .020 .008 .141 .288 .364 .358 .240 .078 .003 .018 .015 .198 .429 .570 .535 .307 .076 .000 .010 .028 .267 .603 .810 .681 .295 .032 .012 .003 .041 .324 .751 .984 .706 .192 .000 .087 .000 .047 .345 .812 1.000 .581 .071 .048 .238 .000 .047 .330 .776 .874 .391 .007 .154 .381 .001 .040 .287 .663 .676 .226 .003 .230 .411 .000 .026 .221 .506 .467 .114 .018 .228 .321 .003 .012 .162 .370 .305 .053 .026 .170 .187 446 -.063 5046 -1.156 8.05410 .012525 .206099 .019575 Correlation Surface at 546 5046 .341 .428 .561 .772 .886 .810 .668 .605 .583 .387 .471 .565 .728 .836 .767 .627 .570 .558 .420 .493 .579 .750 .869 .795 .649 .616 .644 .400 .481 .604 .816 .952 .853 .703 .687 .748 .338 .443 .620 .859 1.000 .873 .711 .695 .749 .291 .415 .627 .849 .989 .846 .664 .629 .663 .287 .419 .623 .828 .952 .812 .624 .561 .573 .320 .448 .620 .845 .929 .810 .638 .551 .518 .366 .493 .642 .884 .911 .809 .657 .562 .493 r_peak,r_snr = .5391009 2.45956 Correlation Surface of oversamples image at 546 5046 .507 .580 .684 .778 .802 .731 .606 .511 .486 .529 .618 .735 .831 .847 .765 .629 .532 .514 .561 .676 .808 .904 .912 .821 .676 .578 .565 .590 .733 .878 .969 .972 .880 .735 .636 .622 .603 .765 .915 1.000 1.000 .916 .780 .682 .665 .604 .771 .920 .997 .999 .925 .800 .705 .681 .602 .762 .903 .977 .982 .917 .799 .703 .671 .600 .744 .873 .945 .954 .894 .779 .681 .644 .603 .727 .843 .911 .922 .864 .748 .650 .612 546 -.281 5046 5.781 2.45956 .007916 .114383 .005485 Correlation Surface at 646 5046 .511 .565 .586 .625 .493 .378 .175 .088 .051 .520 .559 .493 .556 .496 .440 .188 .086 .056 .616 .593 .415 .528 .604 .556 .220 .095 .069 .673 .602 .405 .619 .817 .675 .260 .111 .068 .603 .544 .439 .777 1.000 .665 .262 .116 .055 .488 .481 .495 .830 .947 .545 .260 .131 .044 .448 .503 .567 .798 .771 .462 .295 .178 .048 .504 .602 .627 .766 .689 .477 .330 .209 .058 .581 .682 .590 .731 .715 .549 .330 .182 .065 r_peak,r_snr = .5067648 4.68563 Correlation Surface of oversamples image at 646 5046 .110 .075 .091 .149 .208 .221 .206 .176 .176 .068 .060 .121 .251 .375 .403 .367 .303 .279 .048 .069 .193 .423 .621 .657 .591 .479 .411 .049 .103 .303 .627 .865 .880 .775 .617 .500 .070 .158 .416 .783 1.000 .964 .825 .646 .501 .108 .220 .494 .836 .986 .891 .738 .574 .445 .155 .275 .520 .786 .854 .720 .580 .459 .380 .205 .318 .507 .683 .686 .545 .434 .367 .347 .243 .338 .464 .563 .536 .416 .345 .326 .356 646 .563 5046 -.844 4.68563 .003412 .013352 .002859 Correlation Surface at 746 5046 .038 .000 .030 .382 .658 .196 .026 .018 .009 .033 .001 .042 .432 .587 .150 .016 .005 .001 .009 .003 .062 .564 .717 .144 .000 .003 .000 .005 .001 .085 .670 .996 .220 .002 .016 .001 .013 .000 .054 .527 1.000 .311 .000 .015 .002 .015 .001 .012 .292 .679 .271 .001 .010 .001 .014 .000 .004 .188 .387 .145 .000 .013 .000 .021 .005 .008 .188 .282 .094 .000 .013 .000 .037 .009 .008 .203 .350 .171 .005 .009 .001 r_peak,r_snr = .2036037 11.82774 Correlation Surface of oversamples image at 746 5046 .007 .167 .513 .783 .701 .367 .111 .024 .006 .007 .168 .531 .847 .799 .442 .139 .026 .002 .006 .155 .525 .900 .912 .538 .180 .030 .000 .002 .121 .474 .901 .989 .625 .225 .037 .000 .000 .071 .376 .831 1.000 .682 .267 .047 .000 .008 .025 .258 .701 .936 .690 .293 .056 .000 .025 .003 .157 .545 .799 .627 .284 .059 .000 .036 .000 .097 .411 .631 .511 .241 .054 .000 .030 .001 .077 .325 .483 .386 .188 .046 .000 746 -.125 5046 -.281 11.82774 .007744 .078008 -.010744 Correlation Surface at 846 5046 .010 .064 .062 .193 .182 .063 .004 .005 .036 .002 .003 .001 .134 .211 .027 .005 .003 .123 .017 .057 .042 .098 .353 .063 .002 .023 .142 .008 .036 .029 .160 .764 .286 .029 .102 .159 .000 .010 .013 .200 1.000 .468 .093 .153 .175 .000 .015 .023 .077 .614 .307 .031 .050 .101 .000 .033 .045 .005 .241 .134 .001 .000 .022 .002 .018 .036 .004 .178 .120 .001 .001 .007 .017 .002 .012 .045 .269 .208 .006 .002 .019 r_peak,r_snr = .1426015 14.94191 Correlation Surface of oversamples image at 846 5046 .000 .030 .149 .306 .336 .176 .027 .000 .001 .000 .026 .172 .424 .533 .331 .084 .007 .005 .000 .036 .224 .581 .784 .548 .189 .044 .038 .003 .051 .268 .697 .976 .737 .302 .098 .082 .007 .055 .267 .697 1.000 .795 .358 .131 .102 .005 .041 .209 .571 .851 .704 .330 .117 .079 .001 .017 .119 .376 .606 .524 .240 .068 .033 .001 .002 .046 .202 .379 .345 .146 .026 .005 .005 .001 .010 .098 .230 .224 .088 .008 .000 846 .063 5046 -.188 14.94192 .009350 .046667 -.002509 Correlation Surface at 946 5046 .071 .017 .043 .419 .697 .233 .110 .081 .053 .063 .001 .034 .446 .647 .179 .058 .090 .129 .013 .004 .025 .363 .643 .233 .052 .118 .284 .000 .013 .013 .303 .842 .429 .118 .136 .304 .000 .024 .001 .270 1.000 .520 .107 .046 .103 .001 .024 .002 .201 .973 .403 .018 .001 .003 .001 .009 .001 .178 .870 .261 .000 .015 .000 .000 .000 .010 .265 .671 .194 .002 .003 .003 .001 .005 .054 .329 .410 .208 .040 .000 .001 r_peak,r_snr = .1804717 10.41896 Correlation Surface of oversamples image at 946 5046 .108 .259 .450 .624 .644 .442 .211 .098 .080 .091 .252 .490 .730 .787 .566 .300 .165 .132 .055 .216 .505 .821 .914 .669 .372 .215 .158 .022 .160 .472 .854 .987 .720 .394 .215 .130 .003 .096 .388 .816 1.000 .726 .370 .166 .068 .002 .036 .268 .718 .969 .706 .319 .097 .015 .015 .005 .172 .628 .940 .688 .265 .042 .000 .025 .000 .137 .602 .936 .674 .226 .017 .010 .018 .001 .154 .617 .900 .611 .187 .009 .015 946 -.063 5046 -.688 10.41897 .007560 .297340 -.008987 Correlation Surface at 1046 5046 .062 .110 .207 .290 .292 .236 .143 .068 .103 .083 .146 .171 .205 .291 .278 .122 .030 .044 .144 .173 .167 .295 .550 .380 .130 .042 .037 .240 .239 .239 .596 .993 .406 .130 .082 .069 .259 .251 .245 .714 1.000 .262 .102 .116 .110 .243 .199 .131 .442 .503 .122 .103 .147 .119 .245 .135 .028 .157 .142 .074 .150 .190 .117 .177 .081 .001 .049 .048 .091 .172 .195 .120 .057 .053 .003 .044 .076 .145 .127 .161 .130 r_peak,r_snr = .1730951 9.25718 Correlation Surface of oversamples image at 1046 5046 .104 .088 .106 .173 .305 .445 .530 .484 .320 .128 .119 .175 .319 .530 .672 .679 .534 .323 .166 .177 .291 .530 .800 .894 .772 .517 .286 .206 .240 .409 .708 .984 .993 .736 .412 .205 .242 .293 .481 .774 1.000 .921 .580 .261 .115 .267 .320 .490 .723 .863 .714 .372 .127 .049 .271 .306 .434 .592 .643 .465 .193 .046 .017 .252 .256 .343 .443 .434 .268 .088 .016 .009 .209 .187 .249 .318 .286 .156 .047 .011 .014 1046 -.281 5046 -.313 9.25718 .010713 .041090 .003916 Correlation Surface at 1146 5046 .057 .025 .038 .151 .030 .160 .201 .016 .063 .075 .003 .017 .010 .037 .085 .081 .007 .017 .133 .011 .018 .078 .061 .012 .000 .000 .004 .062 .039 .012 .431 .678 .158 .000 .029 .114 .000 .024 .007 .625 1.000 .094 .098 .193 .311 .075 .011 .077 .581 .785 .050 .213 .276 .346 .265 .229 .298 .428 .606 .089 .186 .183 .154 .406 .374 .273 .133 .248 .029 .143 .099 .033 .190 .083 .042 .002 .000 .028 .079 .060 .009 r_peak,r_snr = 9.38169E-02 10.17867 Correlation Surface of oversamples image at 1146 5046 .010 .047 .093 .171 .301 .366 .285 .137 .033 .000 .040 .154 .363 .631 .673 .424 .139 .012 .003 .030 .191 .509 .873 .869 .453 .082 .002 .001 .038 .218 .576 .975 .928 .402 .027 .041 .015 .093 .277 .616 1.000 .924 .350 .006 .094 .128 .238 .382 .646 .971 .879 .321 .003 .103 .367 .469 .511 .661 .901 .808 .314 .007 .068 .629 .678 .584 .613 .768 .695 .305 .021 .022 .740 .716 .517 .460 .543 .500 .247 .035 .001 1146 .188 5046 -1.594 10.17867 .020695 .157785 .015685 Correlation Surface at 1246 5046 .177 .182 .157 .038 .026 .047 .040 .347 .122 .082 .098 .038 .001 .054 .026 .053 .246 .067 .020 .023 .004 .105 .218 .154 .001 .035 .001 .001 .000 .044 .362 .674 .587 .110 .013 .049 .001 .000 .022 .418 1.000 .934 .178 .059 .101 .009 .009 .002 .222 .941 .840 .119 .026 .023 .008 .027 .027 .119 .899 .585 .049 .000 .014 .001 .016 .013 .136 .764 .368 .011 .010 .045 .003 .020 .000 .190 .526 .179 .002 .012 .013 r_peak,r_snr = .1243216 15.76147 Correlation Surface of oversamples image at 1246 5046 .048 .066 .099 .147 .200 .208 .102 .004 .022 .081 .142 .238 .340 .413 .400 .222 .040 .000 .108 .228 .410 .584 .688 .648 .374 .096 .009 .119 .285 .529 .764 .914 .853 .483 .127 .018 .105 .280 .536 .807 1.000 .915 .478 .106 .011 .077 .233 .474 .761 .959 .830 .379 .059 .001 .046 .174 .405 .691 .849 .658 .244 .017 .005 .023 .133 .368 .646 .730 .480 .131 .000 .027 .015 .123 .377 .638 .630 .335 .058 .005 .058 1246 .656 5046 -2.969 15.76148 .060585 .179943 -.047141 Correlation Surface at 1346 5046 .157 .247 .369 .580 .841 .776 .501 .331 .236 .159 .238 .361 .564 .805 .735 .479 .328 .218 .177 .228 .363 .592 .815 .759 .547 .379 .233 .182 .215 .373 .660 .915 .829 .600 .400 .246 .176 .211 .376 .674 1.000 .872 .556 .338 .223 .170 .203 .348 .598 .976 .863 .486 .282 .200 .153 .186 .305 .505 .895 .819 .450 .281 .204 .125 .175 .284 .480 .844 .764 .430 .297 .223 .109 .180 .295 .520 .823 .713 .410 .288 .226 r_peak,r_snr = .4311461 4.92409 Correlation Surface of oversamples image at 1346 5046 .505 .607 .689 .756 .790 .750 .658 .561 .474 .517 .631 .734 .820 .857 .807 .702 .593 .495 .519 .646 .775 .886 .925 .855 .728 .599 .486 .507 .642 .797 .935 .975 .884 .729 .577 .451 .484 .619 .793 .955 1.000 .890 .709 .541 .410 .450 .578 .760 .939 .994 .875 .679 .503 .375 .409 .528 .708 .898 .965 .851 .650 .473 .354 .375 .485 .658 .850 .931 .828 .628 .457 .348 .354 .460 .625 .810 .897 .807 .616 .451 .351 1346 .375 5046 -1.344 4.92409 .006588 .084365 -.005960 Correlation Surface at 1446 5046 .014 .027 .055 .221 .370 .201 .072 .027 .004 .011 .017 .036 .220 .464 .279 .083 .025 .001 .007 .008 .030 .268 .623 .358 .094 .031 .004 .002 .003 .038 .370 .877 .449 .102 .043 .017 .000 .003 .052 .447 1.000 .469 .098 .048 .022 .000 .005 .064 .422 .803 .352 .078 .040 .012 .000 .008 .074 .344 .519 .211 .055 .025 .003 .003 .009 .084 .297 .390 .160 .051 .020 .002 .004 .007 .088 .306 .422 .214 .081 .036 .006 r_peak,r_snr = .3883758 14.90041 Correlation Surface of oversamples image at 1446 5046 .051 .137 .304 .501 .597 .517 .337 .184 .106 .058 .160 .356 .596 .717 .611 .382 .199 .110 .065 .185 .417 .708 .855 .714 .429 .214 .114 .069 .203 .468 .805 .968 .789 .458 .220 .114 .070 .209 .488 .844 1.000 .794 .448 .211 .107 .069 .202 .468 .798 .925 .716 .397 .184 .092 .067 .185 .414 .684 .771 .587 .323 .150 .074 .064 .164 .347 .550 .602 .455 .252 .118 .058 .062 .144 .288 .437 .468 .352 .199 .095 .046 1446 -.031 5046 -.094 14.90042 .001959 .015631 .000848 Correlation Surface at 1546 5046 .033 .033 .052 .097 .125 .094 .000 .017 .001 .035 .019 .020 .063 .133 .072 .001 .020 .000 .052 .001 .000 .047 .227 .091 .000 .014 .010 .051 .003 .004 .137 .655 .215 .005 .011 .034 .029 .001 .002 .337 1.000 .265 .007 .010 .038 .029 .007 .027 .307 .554 .128 .012 .002 .006 .049 .024 .039 .143 .167 .061 .032 .006 .009 .063 .038 .034 .088 .119 .083 .042 .025 .032 .054 .028 .016 .068 .130 .077 .023 .018 .016 r_peak,r_snr = .2050524 31.99957 Correlation Surface of oversamples image at 1546 5046 .000 .007 .040 .120 .210 .206 .113 .031 .001 .000 .009 .080 .244 .392 .356 .190 .059 .007 .000 .027 .176 .464 .668 .556 .280 .088 .013 .003 .072 .323 .721 .926 .705 .332 .102 .016 .020 .142 .462 .872 1.000 .696 .307 .093 .017 .055 .206 .507 .813 .827 .526 .222 .072 .017 .097 .233 .441 .595 .532 .311 .132 .052 .018 .129 .220 .326 .370 .292 .163 .077 .042 .021 .145 .188 .232 .231 .171 .099 .058 .041 .026 1546 -.094 5046 -.063 31.99957 .004487 .013797 .001472 Correlation Surface at 1646 5046 .273 .217 .051 .122 .483 .257 .014 .025 .131 .258 .137 .016 .118 .422 .244 .025 .004 .088 .185 .073 .005 .094 .410 .185 .024 .000 .045 .116 .048 .000 .180 .701 .203 .016 .000 .024 .105 .055 .000 .321 1.000 .257 .007 .005 .014 .225 .142 .006 .245 .716 .197 .007 .010 .019 .405 .265 .038 .088 .283 .111 .022 .005 .054 .383 .323 .068 .025 .106 .048 .018 .004 .094 .275 .344 .090 .004 .040 .006 .004 .004 .072 r_peak,r_snr = .1708098 9.73069 Correlation Surface of oversamples image at 1646 5046 .019 .012 .179 .494 .671 .505 .203 .043 .015 .005 .022 .210 .566 .756 .540 .198 .038 .015 .000 .041 .267 .680 .878 .606 .220 .046 .020 .001 .058 .322 .779 .984 .680 .266 .069 .031 .001 .059 .331 .796 1.000 .712 .316 .109 .050 .000 .042 .280 .692 .880 .657 .339 .156 .080 .007 .017 .189 .502 .655 .518 .317 .193 .114 .026 .002 .102 .309 .419 .356 .263 .207 .140 .052 .001 .045 .165 .236 .220 .195 .188 .143 1646 -.063 5046 -.188 9.73069 .005931 .036320 .000973 Correlation Surface at 1746 5046 .121 .222 .341 .446 .570 .572 .472 .376 .333 .139 .224 .315 .445 .607 .592 .490 .421 .366 .151 .222 .303 .457 .694 .683 .539 .442 .370 .153 .212 .320 .546 .880 .811 .566 .425 .362 .143 .203 .365 .675 1.000 .812 .537 .403 .354 .143 .217 .402 .698 .882 .675 .478 .397 .339 .155 .234 .390 .602 .692 .557 .440 .396 .317 .153 .228 .356 .527 .623 .542 .451 .402 .310 .134 .214 .338 .514 .640 .597 .510 .420 .303 r_peak,r_snr = .5802727 4.7806 Correlation Surface of oversamples image at 1746 5046 .294 .368 .474 .613 .735 .775 .722 .634 .555 .302 .387 .513 .681 .827 .862 .782 .667 .569 .316 .417 .568 .765 .923 .938 .824 .682 .566 .335 .454 .628 .842 .991 .973 .830 .671 .546 .355 .490 .675 .883 1.000 .950 .794 .636 .515 .371 .512 .690 .868 .945 .875 .726 .584 .478 .376 .510 .666 .805 .849 .775 .646 .529 .444 .369 .490 .621 .727 .751 .684 .577 .484 .420 .355 .463 .576 .664 .682 .625 .535 .460 .412 1746 .156 5046 -.281 4.78060 .002394 .007910 .001559 Correlation Surface at 1846 5046 .090 .113 .205 .431 .555 .440 .302 .224 .133 .095 .095 .184 .422 .570 .498 .311 .201 .137 .085 .076 .160 .387 .638 .595 .323 .179 .139 .074 .071 .136 .404 .836 .725 .311 .145 .111 .074 .075 .115 .441 1.000 .782 .275 .114 .085 .080 .076 .111 .435 .902 .676 .246 .119 .092 .086 .086 .138 .418 .723 .544 .227 .150 .115 .092 .104 .182 .462 .727 .524 .224 .171 .123 .105 .122 .197 .495 .794 .551 .237 .170 .119 r_peak,r_snr = .4335743 7.74143 Correlation Surface of oversamples image at 1846 5046 .256 .386 .537 .661 .692 .614 .478 .337 .231 .234 .371 .555 .720 .770 .680 .514 .344 .223 .226 .384 .612 .816 .869 .746 .538 .340 .211 .226 .413 .687 .920 .958 .792 .542 .326 .196 .229 .442 .746 .987 1.000 .799 .527 .308 .182 .233 .456 .761 .982 .973 .765 .500 .292 .176 .236 .448 .724 .909 .890 .703 .467 .283 .179 .240 .428 .658 .807 .792 .636 .435 .278 .188 .252 .416 .603 .725 .717 .585 .410 .273 .196 1846 .250 5046 .156 7.74143 .002457 .016017 .000580 Correlation Surface at 1946 5046 .041 .111 .246 .339 .484 .479 .425 .284 .123 .050 .123 .241 .346 .532 .534 .402 .240 .136 .065 .134 .231 .380 .672 .646 .407 .224 .148 .067 .124 .194 .413 .898 .780 .465 .269 .173 .060 .090 .157 .439 1.000 .789 .500 .337 .205 .057 .070 .161 .448 .849 .651 .465 .376 .238 .060 .070 .196 .451 .675 .528 .412 .375 .274 .056 .081 .225 .473 .636 .495 .390 .360 .277 .043 .096 .247 .515 .666 .511 .421 .351 .236 r_peak,r_snr = .4615192 6.89604 Correlation Surface of oversamples image at 1946 5046 .124 .192 .309 .449 .543 .538 .451 .325 .216 .115 .205 .367 .558 .665 .626 .493 .337 .215 .110 .226 .447 .700 .811 .721 .538 .355 .223 .107 .250 .530 .838 .939 .795 .571 .373 .238 .107 .268 .590 .924 1.000 .817 .578 .381 .254 .109 .279 .609 .929 .971 .778 .555 .378 .270 .115 .281 .585 .855 .870 .699 .512 .367 .283 .126 .278 .536 .743 .741 .605 .463 .352 .291 .143 .281 .490 .639 .624 .520 .417 .336 .294 1946 .344 5046 -.313 6.89604 .002159 .014334 .000983 Correlation Surface at 2046 5046 .035 .033 .049 .054 .006 .065 .058 .000 .032 .055 .034 .040 .029 .006 .160 .019 .024 .036 .070 .066 .012 .011 .171 .289 .003 .046 .027 .092 .097 .000 .135 .661 .537 .014 .013 .007 .142 .095 .000 .209 1.000 .743 .079 .000 .001 .196 .065 .000 .167 .740 .593 .138 .001 .015 .182 .040 .000 .065 .271 .307 .142 .002 .073 .097 .038 .006 .006 .084 .194 .145 .000 .161 .030 .066 .063 .001 .053 .173 .146 .000 .186 r_peak,r_snr = .1331879 16.94713 Correlation Surface of oversamples image at 2046 5046 .008 .004 .040 .112 .245 .373 .283 .056 .011 .006 .019 .114 .273 .494 .591 .354 .057 .009 .003 .039 .193 .455 .764 .808 .442 .083 .000 .000 .054 .249 .595 .956 .956 .532 .141 .009 .001 .064 .272 .645 1.000 .974 .582 .215 .045 .005 .067 .254 .588 .881 .852 .555 .263 .083 .012 .062 .200 .446 .655 .640 .453 .251 .092 .018 .053 .137 .288 .427 .435 .330 .198 .074 .018 .040 .083 .165 .261 .286 .225 .135 .048 2046 .219 5046 -.156 16.94714 .015821 .058071 .000111 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .118 .089 .143 .442 .711 .577 .310 .154 .098 .127 .096 .152 .451 .743 .576 .305 .175 .129 .126 .107 .192 .514 .855 .607 .274 .170 .154 .117 .100 .202 .571 .985 .673 .283 .169 .146 .111 .078 .152 .540 1.000 .714 .320 .179 .124 .108 .064 .107 .457 .924 .686 .305 .167 .106 .111 .081 .118 .423 .835 .622 .259 .146 .110 .126 .129 .169 .446 .791 .594 .263 .154 .136 .155 .174 .191 .428 .745 .593 .305 .192 .163 r_peak,r_snr = .3818107 6.89048 Correlation Surface of oversamples image at 146 5446 .178 .296 .476 .675 .790 .735 .561 .384 .264 .187 .310 .503 .723 .857 .804 .611 .412 .277 .184 .311 .519 .766 .927 .883 .675 .453 .301 .170 .294 .513 .788 .980 .951 .737 .497 .329 .148 .262 .485 .781 1.000 .988 .774 .524 .345 .127 .228 .444 .749 .983 .982 .772 .520 .340 .113 .200 .401 .697 .929 .931 .730 .486 .313 .109 .186 .368 .641 .855 .854 .663 .437 .276 .121 .193 .360 .605 .790 .780 .602 .396 .251 146 .219 5446 .125 6.89048 .004258 .173932 -.009972 Correlation Surface at 246 5446 .051 .029 .038 .139 .016 .158 .125 .020 .087 .011 .012 .002 .023 .019 .300 .116 .009 .061 .019 .051 .003 .031 .266 .273 .106 .050 .077 .026 .082 .000 .240 .627 .272 .087 .093 .131 .001 .047 .004 .545 1.000 .256 .022 .030 .146 .012 .061 .025 .472 .918 .072 .002 .000 .147 .000 .244 .245 .107 .441 .013 .001 .000 .161 .078 .342 .306 .000 .213 .070 .007 .002 .119 .100 .088 .074 .003 .326 .162 .004 .030 .074 r_peak,r_snr = 9.41779E-02 8.65103 Correlation Surface of oversamples image at 246 5446 .034 .004 .023 .140 .334 .496 .473 .357 .289 .014 .002 .091 .315 .553 .632 .447 .232 .152 .005 .008 .154 .504 .804 .785 .420 .130 .047 .011 .001 .144 .605 .999 .889 .367 .056 .003 .075 .028 .060 .533 1.000 .842 .275 .016 .004 .286 .190 .000 .317 .764 .643 .181 .004 .012 .614 .457 .048 .103 .422 .400 .127 .007 .002 .862 .657 .166 .004 .147 .210 .114 .033 .007 .863 .675 .270 .025 .023 .108 .129 .089 .041 246 -.344 5446 -5.250 8.65103 .034056 .232540 .044262 Correlation Surface at 346 5446 .050 .003 .056 .027 .008 .121 .040 .008 .111 .123 .069 .001 .006 .232 .367 .145 .018 .001 .194 .232 .084 .231 .820 .327 .097 .099 .034 .105 .127 .130 .481 1.000 .102 .018 .143 .019 .001 .010 .092 .362 .735 .113 .032 .106 .000 .002 .025 .130 .132 .460 .290 .117 .043 .003 .027 .153 .160 .024 .296 .234 .119 .043 .070 .091 .152 .102 .001 .106 .057 .069 .097 .173 r_peak,r_snr = 8.72220E-02 8.35376 Correlation Surface of oversamples image at 346 5446 .316 .449 .273 .068 .005 .000 .478 .591 .336 .081 .005 .000 .632 .765 .479 .152 .025 .007 .763 .925 .655 .279 .085 .045 .839 1.000 .771 .395 .160 .116 .814 .919 .724 .392 .176 .162 .692 .716 .539 .281 .126 .150 .534 .498 .353 .175 .077 .112 .396 .347 .253 .137 .062 .079 346 -7.688 5446 -12.938 8.35376 .022197 .278593 .030635 Correlation Surface at 446 5446 .273 .154 .102 .142 .227 .174 .158 .204 .133 .305 .307 .166 .145 .303 .175 .089 .135 .144 .293 .439 .228 .243 .629 .344 .171 .150 .102 .271 .406 .189 .363 .935 .565 .386 .180 .034 .243 .227 .093 .406 1.000 .671 .476 .134 .002 .198 .116 .069 .424 .890 .644 .399 .091 .000 .193 .141 .141 .406 .594 .539 .404 .138 .012 .272 .287 .230 .268 .284 .460 .500 .253 .091 .373 .400 .211 .161 .184 .436 .493 .301 .164 r_peak,r_snr = .1719407 5.03425 Correlation Surface of oversamples image at 446 5446 .223 .159 .243 .453 .595 .495 .300 .182 .151 .232 .185 .315 .602 .783 .659 .426 .284 .231 .198 .186 .368 .723 .927 .787 .541 .389 .308 .144 .171 .397 .795 .997 .846 .609 .459 .351 .103 .161 .417 .822 1.000 .841 .619 .473 .349 .089 .172 .441 .814 .949 .789 .586 .445 .323 .101 .207 .463 .762 .845 .698 .526 .403 .299 .137 .253 .462 .655 .689 .582 .460 .368 .294 .181 .285 .416 .503 .510 .464 .404 .352 .311 446 .000 5446 .781 5.03425 .013897 .377693 -.000387 Correlation Surface at 546 5446 .404 .467 .558 .720 .842 .743 .606 .496 .454 .426 .459 .533 .736 .860 .727 .601 .509 .463 .437 .429 .520 .770 .920 .758 .589 .511 .457 .399 .399 .523 .797 .999 .806 .597 .539 .492 .358 .390 .528 .807 1.000 .782 .613 .606 .602 .346 .419 .536 .780 .920 .726 .610 .637 .666 .342 .465 .541 .721 .856 .723 .601 .583 .598 .335 .486 .547 .714 .863 .763 .613 .527 .514 .339 .483 .593 .770 .901 .800 .642 .528 .501 r_peak,r_snr = .4585626 2.37227 Correlation Surface of oversamples image at 546 5446 .577 .666 .775 .871 .901 .839 .716 .602 .532 .581 .678 .797 .903 .933 .856 .712 .584 .510 .580 .687 .815 .933 .969 .883 .724 .582 .500 .573 .686 .821 .950 .994 .908 .745 .594 .502 .562 .676 .815 .949 1.000 .920 .762 .611 .511 .550 .661 .798 .932 .985 .913 .765 .619 .517 .540 .644 .776 .904 .957 .896 .757 .616 .512 .533 .628 .753 .875 .930 .880 .750 .608 .501 .529 .618 .738 .855 .912 .873 .750 .606 .491 546 -.063 5446 .219 2.37227 .006522 .115555 .005538 Correlation Surface at 746 5446 .025 .029 .435 .768 .834 .711 .384 .293 .378 .011 .033 .375 .692 .889 .769 .430 .293 .331 .002 .035 .300 .707 .967 .757 .488 .290 .245 .001 .046 .306 .782 1.000 .727 .503 .256 .125 .000 .066 .338 .780 .937 .717 .445 .181 .043 .001 .077 .324 .684 .864 .764 .377 .116 .025 .007 .078 .283 .572 .851 .882 .351 .092 .043 .025 .063 .215 .467 .875 .981 .353 .096 .078 r_peak,r_snr = .2318954 5.74331 Correlation Surface of oversamples image at 746 5446 .299 .565 .737 .801 .820 .806 .727 .598 .472 .264 .492 .672 .794 .871 .870 .763 .612 .491 .230 .431 .634 .815 .935 .921 .772 .604 .497 .208 .395 .622 .848 .984 .939 .751 .573 .478 .204 .381 .623 .870 1.000 .925 .717 .535 .440 .211 .379 .620 .863 .978 .894 .690 .507 .399 .218 .376 .601 .822 .922 .854 .676 .497 .370 .218 .364 .563 .754 .849 .816 .682 .512 .366 .215 .349 .519 .680 .781 .795 .712 .558 .395 746 -1.406 5446 -12.094 5.74331 .028946 .635199 .046819 Correlation Surface at 846 5446 .132 .234 .001 .057 .030 .037 .112 .002 .100 .097 .138 .020 .162 .205 .226 .151 .003 .039 .068 .094 .049 .248 .585 .576 .212 .025 .016 .079 .124 .021 .314 .898 .638 .215 .139 .170 .060 .107 .012 .423 1.000 .428 .185 .266 .267 .018 .024 .048 .542 .989 .321 .118 .135 .121 .001 .000 .077 .604 .978 .364 .027 .000 .000 .003 .000 .024 .509 .875 .307 .003 .076 .053 .010 .004 .005 .450 .707 .203 .023 .043 .049 r_peak,r_snr = .1076757 10.77271 Correlation Surface of oversamples image at 846 5446 .035 .133 .344 .631 .764 .602 .329 .155 .103 .081 .224 .462 .711 .768 .568 .300 .139 .084 .135 .329 .597 .818 .826 .608 .325 .136 .056 .158 .397 .712 .939 .930 .695 .373 .135 .030 .117 .365 .730 .998 1.000 .748 .386 .119 .014 .046 .254 .638 .953 .974 .714 .343 .092 .007 .012 .175 .563 .913 .949 .684 .323 .099 .018 846 -.250 5446 .719 10.77272 .137802 4.752892 .739324 Correlation Surface at 946 5446 .002 .029 .048 .352 .549 .257 .186 .147 .052 .000 .023 .056 .359 .676 .369 .187 .116 .005 .000 .022 .037 .245 .714 .475 .149 .073 .001 .007 .034 .029 .197 .886 .626 .166 .088 .001 .050 .043 .032 .179 1.000 .724 .231 .162 .028 .085 .047 .033 .128 .732 .553 .232 .223 .063 .088 .047 .036 .107 .432 .325 .172 .179 .023 .062 .041 .064 .173 .328 .205 .103 .091 .001 .032 .047 .146 .312 .327 .158 .075 .056 .003 r_peak,r_snr = .1855087 12.12635 Correlation Surface of oversamples image at 946 5446 .110 .252 .534 .816 .863 .682 .471 .325 .205 .117 .238 .498 .808 .923 .757 .493 .291 .154 .112 .209 .440 .775 .962 .813 .501 .255 .111 .098 .171 .372 .727 .994 .876 .529 .245 .092 .081 .132 .301 .665 1.000 .929 .572 .259 .096 .065 .098 .234 .577 .937 .912 .579 .272 .111 .056 .074 .176 .463 .788 .785 .513 .257 .121 .053 .060 .131 .346 .591 .589 .393 .214 .120 .056 .056 .106 .257 .419 .412 .284 .170 .111 946 .156 5446 -.500 12.12635 .007429 .067716 -.001119 Correlation Surface at 1046 5446 .009 .004 .004 .079 .269 .387 .245 .076 .021 .058 .007 .002 .107 .334 .343 .192 .021 .003 .117 .014 .002 .097 .410 .288 .048 .001 .000 .151 .065 .025 .122 .626 .306 .001 .033 .002 .149 .183 .062 .196 1.000 .336 .003 .089 .012 .101 .207 .091 .179 .961 .231 .015 .092 .004 .026 .100 .115 .048 .394 .046 .029 .038 .000 .000 .045 .157 .004 .039 .005 .043 .026 .002 .008 .058 .216 .063 .003 .047 .045 .051 .019 r_peak,r_snr = .1675721 23.24839 Correlation Surface of oversamples image at 1046 5446 .002 .013 .107 .291 .455 .457 .292 .101 .006 .009 .011 .135 .392 .619 .590 .330 .082 .000 .024 .008 .165 .517 .817 .739 .368 .071 .001 .043 .005 .187 .623 .979 .836 .375 .060 .002 .058 .002 .182 .647 1.000 .805 .322 .040 .005 .069 .000 .144 .547 .825 .615 .206 .014 .012 .077 .001 .089 .369 .529 .344 .079 .000 .026 .080 .007 .041 .194 .253 .124 .008 .015 .043 .089 .018 .009 .066 .073 .015 .009 .052 .061 1046 .094 5446 -.719 23.24839 .005762 .069122 .003079 Correlation Surface at 1146 5446 .000 .045 .066 .124 .124 .113 .035 .002 .001 .008 .162 .094 .021 .001 .026 .047 .005 .002 .042 .181 .032 .039 .209 .004 .042 .000 .005 .018 .037 .005 .357 .750 .053 .009 .009 .011 .006 .003 .062 .718 1.000 .104 .000 .000 .024 .029 .014 .067 .578 .696 .082 .007 .009 .015 .003 .004 .022 .187 .367 .029 .022 .000 .008 .009 .000 .001 .036 .220 .009 .000 .100 .144 .030 .014 .005 .015 .114 .004 .062 .282 .211 r_peak,r_snr = .1243886 18.4467 Correlation Surface of oversamples image at 1146 5446 .071 .021 .000 .009 .039 .057 .019 .007 .060 .025 .004 .006 .071 .201 .252 .113 .002 .023 .003 .000 .038 .212 .483 .543 .258 .028 .001 .002 .012 .106 .412 .798 .818 .397 .078 .010 .012 .036 .192 .590 1.000 .953 .470 .122 .035 .023 .059 .247 .642 .990 .904 .457 .138 .046 .029 .071 .241 .557 .816 .742 .390 .122 .033 .031 .072 .197 .414 .599 .561 .307 .088 .014 .033 .066 .143 .279 .413 .413 .231 .055 .004 1146 -.313 5446 1.156 18.44671 .013042 .079444 .003346 Correlation Surface at 1246 5446 .017 .034 .069 .235 .325 .310 .222 .089 .076 .015 .064 .104 .210 .301 .322 .218 .122 .075 .029 .139 .211 .320 .490 .406 .239 .183 .088 .036 .248 .363 .554 .797 .481 .273 .272 .130 .035 .282 .433 .780 1.000 .472 .312 .364 .212 .034 .185 .359 .847 .981 .417 .343 .382 .283 .031 .112 .289 .768 .851 .408 .311 .306 .252 .055 .151 .281 .618 .679 .427 .259 .217 .191 .135 .212 .203 .363 .433 .378 .239 .206 .229 r_peak,r_snr = .1861009 5.30892 Correlation Surface of oversamples image at 1246 5446 .070 .098 .144 .249 .414 .517 .473 .372 .296 .115 .159 .236 .401 .615 .688 .559 .393 .289 .146 .213 .334 .565 .810 .829 .613 .396 .279 .147 .236 .402 .688 .945 .908 .630 .388 .275 .122 .223 .423 .746 1.000 .926 .621 .381 .284 .088 .190 .404 .740 .981 .895 .599 .381 .299 .067 .165 .374 .694 .912 .837 .581 .394 .316 .073 .167 .356 .633 .821 .777 .582 .424 .335 .108 .192 .342 .556 .709 .706 .580 .450 .350 1246 -.344 5446 .563 5.30892 .022931 .217560 .034666 Correlation Surface at 1346 5446 .163 .057 .013 .099 .226 .313 .151 .098 .094 .086 .004 .042 .084 .215 .193 .100 .136 .105 .079 .003 .049 .102 .401 .229 .104 .133 .050 .064 .004 .008 .165 .814 .341 .103 .108 .017 .004 .003 .000 .219 1.000 .401 .139 .159 .026 .039 .028 .005 .166 .635 .344 .208 .203 .037 .076 .050 .049 .095 .243 .196 .178 .121 .023 .030 .037 .073 .079 .124 .109 .074 .015 .007 .006 .041 .040 .058 .084 .083 .030 .001 .004 r_peak,r_snr = .1276994 9.77279 Correlation Surface of oversamples image at 1346 5446 .044 .033 .061 .187 .394 .486 .400 .254 .156 .018 .013 .065 .288 .597 .649 .460 .258 .153 .002 .005 .087 .433 .825 .792 .492 .250 .151 .000 .004 .123 .565 .980 .871 .508 .253 .169 .001 .007 .155 .617 1.000 .871 .517 .278 .211 .000 .016 .167 .561 .872 .779 .505 .313 .266 .005 .031 .153 .424 .642 .603 .447 .329 .300 .023 .048 .120 .273 .405 .405 .351 .304 .289 .043 .054 .085 .165 .243 .258 .257 .249 .231 1346 .125 5446 -.219 9.77279 .010764 .073896 -.000013 Correlation Surface at 1446 5446 .041 .004 .004 .028 .170 .099 .016 .003 .000 .045 .027 .017 .027 .164 .081 .006 .001 .000 .094 .059 .007 .075 .295 .145 .007 .001 .005 .189 .091 .001 .181 .698 .329 .014 .000 .011 .234 .111 .000 .300 1.000 .380 .010 .001 .010 .174 .093 .003 .359 .753 .211 .001 .005 .004 .103 .051 .017 .359 .425 .091 .001 .012 .000 .072 .022 .026 .299 .285 .064 .000 .017 .008 .061 .010 .012 .202 .244 .072 .003 .010 .022 r_peak,r_snr = .2458833 22.15775 Correlation Surface of oversamples image at 1446 5446 .005 .009 .085 .232 .361 .338 .181 .055 .009 .005 .012 .110 .323 .525 .487 .246 .066 .008 .005 .017 .151 .455 .740 .663 .315 .079 .009 .004 .027 .209 .598 .927 .782 .351 .087 .011 .001 .045 .275 .705 1.000 .779 .332 .084 .014 .000 .072 .339 .746 .939 .667 .272 .072 .014 .001 .102 .386 .723 .797 .516 .202 .054 .010 .005 .130 .408 .664 .652 .394 .150 .039 .005 .012 .148 .405 .595 .544 .318 .119 .027 .001 1446 .031 5446 .000 22.15776 .003644 .018841 .002033 Correlation Surface at 1546 5446 .001 .030 .031 .000 .286 .437 .108 .020 .000 .001 .019 .035 .018 .449 .463 .088 .008 .002 .002 .028 .070 .026 .460 .493 .083 .000 .011 .001 .061 .063 .068 .651 .691 .092 .005 .024 .022 .081 .045 .108 1.000 .883 .115 .000 .029 .124 .068 .073 .042 .836 .590 .100 .006 .060 .179 .068 .118 .000 .262 .092 .010 .012 .168 .150 .077 .079 .000 .009 .018 .014 .008 .282 .097 .055 .016 .010 .016 .063 .009 .015 .210 r_peak,r_snr = .1241003 15.8851 Correlation Surface of oversamples image at 1546 5446 .002 .094 .330 .592 .724 .677 .486 .239 .066 .001 .095 .330 .593 .755 .749 .545 .237 .042 .001 .098 .347 .634 .816 .807 .564 .215 .025 .001 .102 .386 .727 .912 .834 .525 .174 .015 .000 .098 .422 .833 1.000 .811 .437 .127 .010 .001 .077 .415 .867 .997 .712 .326 .085 .009 .007 .045 .341 .757 .831 .524 .207 .050 .010 .022 .018 .226 .518 .526 .288 .096 .023 .009 .034 .005 .116 .250 .213 .089 .021 .005 .007 1546 .406 5446 -.688 15.88511 .016083 .090327 .000226 Correlation Surface at 1646 5446 .138 .089 .000 .188 .311 .115 .040 .000 .000 .112 .074 .001 .183 .282 .094 .018 .001 .000 .076 .039 .003 .164 .357 .143 .007 .008 .002 .064 .030 .000 .186 .657 .334 .013 .014 .006 .074 .055 .001 .260 1.000 .522 .031 .010 .001 .096 .083 .000 .294 .893 .424 .028 .001 .008 .126 .065 .009 .252 .552 .235 .018 .004 .030 .143 .028 .029 .213 .392 .176 .025 .021 .031 .110 .010 .026 .184 .356 .189 .040 .026 .012 r_peak,r_snr = .2563056 19.41584 Correlation Surface of oversamples image at 1646 5446 .001 .051 .191 .373 .482 .418 .233 .075 .008 .001 .058 .229 .478 .648 .573 .317 .099 .011 .001 .068 .281 .608 .837 .736 .404 .130 .017 .002 .083 .335 .720 .976 .842 .459 .154 .025 .004 .099 .369 .762 1.000 .841 .456 .158 .029 .009 .111 .367 .713 .900 .738 .397 .140 .028 .017 .119 .337 .610 .741 .596 .320 .113 .024 .027 .123 .299 .505 .596 .477 .258 .093 .021 .034 .121 .262 .423 .497 .403 .223 .083 .022 1646 .063 5446 .313 19.41584 .003597 .023072 .000352 Correlation Surface at 1746 5446 .756 .804 .846 .939 .994 .995 .926 .844 .808 .718 .785 .852 .968 1.000 .937 .866 .828 .798 .679 .753 .822 .908 .904 .824 .789 .808 .782 .673 .742 .813 .842 .827 .772 .769 .802 .763 .709 .765 .825 .817 .811 .784 .783 .789 .743 .751 .794 .823 .811 .820 .794 .778 .770 .739 r_peak,r_snr = .5676737 1.31793 Correlation Surface of oversamples image at 1746 5446 .871 .892 .906 .892 .861 .845 .853 .875 .888 .904 .916 .930 .923 .898 .882 .887 .901 .903 .934 .940 .953 .955 .939 .923 .921 .922 .910 .946 .954 .970 .982 .977 .962 .947 .929 .899 .931 .950 .973 .994 1.000 .985 .954 .914 .870 .893 .923 .954 .984 .997 .980 .934 .879 .828 .846 .883 .919 .952 .967 .946 .893 .834 .783 .802 .842 .879 .910 .922 .897 .845 .788 .740 .770 .811 .846 .870 .875 .849 .802 .752 .706 1746 3.188 5446 -14.750 1.31793 .054907 .048313 .030993 Correlation Surface at 1846 5446 .105 .189 .390 .730 .820 .611 .431 .341 .248 .098 .193 .391 .705 .813 .651 .449 .332 .237 .107 .214 .380 .659 .861 .730 .444 .299 .239 .121 .222 .353 .638 .960 .799 .435 .284 .255 .114 .203 .337 .650 1.000 .795 .442 .297 .278 .092 .182 .347 .645 .899 .726 .455 .314 .292 .087 .188 .373 .618 .774 .658 .470 .327 .300 .096 .214 .390 .587 .689 .605 .474 .348 .321 .106 .231 .383 .533 .611 .566 .467 .369 .346 r_peak,r_snr = .5120151 3.7659 Correlation Surface of oversamples image at 1846 5446 .493 .623 .740 .826 .877 .874 .799 .691 .601 .473 .589 .709 .822 .905 .916 .831 .699 .585 .447 .553 .684 .829 .939 .955 .852 .699 .571 .425 .530 .677 .848 .976 .983 .862 .697 .566 .412 .525 .687 .872 1.000 .993 .860 .695 .570 .413 .538 .707 .887 1.000 .980 .849 .697 .582 .426 .560 .724 .885 .978 .953 .838 .706 .602 .443 .579 .729 .866 .942 .923 .830 .720 .623 .459 .589 .722 .836 .899 .887 .818 .728 .641 1846 .219 5446 -.250 3.76590 .002818 .027963 .001271 Correlation Surface at 1946 5446 .049 .069 .109 .259 .421 .248 .072 .031 .018 .044 .068 .123 .308 .471 .271 .083 .031 .012 .045 .065 .135 .355 .578 .358 .100 .031 .008 .050 .063 .146 .430 .810 .500 .119 .034 .011 .041 .051 .139 .501 1.000 .557 .116 .038 .024 .024 .036 .116 .481 .897 .460 .096 .039 .037 .016 .026 .092 .373 .628 .344 .091 .042 .043 .016 .020 .075 .270 .459 .299 .107 .055 .043 .019 .019 .065 .225 .406 .289 .118 .061 .036 r_peak,r_snr = .532837 15.03098 Correlation Surface of oversamples image at 1946 5446 .100 .201 .376 .589 .721 .663 .446 .224 .092 .089 .192 .388 .648 .826 .771 .516 .254 .103 .081 .189 .409 .716 .932 .866 .572 .278 .114 .078 .191 .432 .772 .999 .913 .593 .289 .121 .077 .196 .447 .789 1.000 .892 .572 .281 .121 .077 .198 .443 .758 .932 .814 .521 .260 .116 .075 .193 .418 .687 .821 .709 .457 .234 .107 .071 .180 .377 .601 .705 .611 .401 .212 .101 .063 .160 .327 .513 .604 .530 .357 .196 .099 1946 .094 5446 .219 15.03098 .001106 .006859 .000242 Correlation Surface at 2046 5446 .031 .070 .156 .237 .312 .236 .109 .023 .005 .044 .096 .164 .292 .372 .258 .130 .045 .013 .048 .092 .139 .364 .586 .397 .156 .072 .041 .058 .075 .112 .398 .937 .626 .172 .077 .051 .069 .067 .077 .313 1.000 .638 .147 .058 .030 .076 .067 .051 .184 .641 .413 .113 .052 .020 .076 .077 .056 .123 .351 .279 .132 .076 .023 .067 .080 .061 .123 .303 .290 .174 .082 .017 .048 .075 .056 .159 .363 .327 .165 .048 .009 r_peak,r_snr = .2701915 13.55029 Correlation Surface of oversamples image at 2046 5446 .075 .133 .259 .420 .511 .485 .382 .256 .160 .057 .130 .295 .521 .667 .628 .447 .253 .138 .044 .124 .319 .613 .832 .786 .513 .247 .117 .034 .111 .316 .666 .962 .916 .561 .238 .100 .026 .089 .280 .654 1.000 .959 .565 .224 .088 .019 .063 .223 .574 .919 .886 .517 .203 .080 .014 .041 .162 .451 .745 .720 .430 .181 .079 .013 .030 .115 .325 .538 .525 .334 .163 .086 .018 .030 .089 .230 .371 .369 .260 .154 .102 2046 .219 5446 -.563 13.55030 .004230 .022436 -.000586 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .018 .004 .013 .227 .582 .221 .006 .000 .028 .012 .003 .006 .198 .576 .241 .003 .000 .031 .001 .001 .002 .180 .657 .375 .013 .001 .032 .002 .007 .001 .186 .849 .553 .033 .004 .028 .000 .006 .002 .235 1.000 .527 .026 .002 .022 .003 .001 .009 .295 .986 .392 .014 .003 .042 .020 .001 .018 .308 .809 .282 .014 .015 .093 .046 .010 .012 .254 .621 .251 .019 .026 .124 .051 .016 .006 .226 .543 .297 .036 .022 .077 r_peak,r_snr = .2198757 11.9374 Correlation Surface of oversamples image at 146 5846 .004 .049 .220 .500 .678 .584 .301 .074 .002 .005 .044 .220 .541 .777 .704 .383 .103 .006 .004 .039 .221 .587 .882 .822 .459 .128 .008 .003 .035 .225 .630 .964 .896 .492 .134 .008 .002 .034 .234 .660 1.000 .903 .471 .118 .005 .002 .039 .247 .671 .984 .848 .410 .089 .002 .003 .048 .260 .661 .926 .755 .333 .060 .000 .005 .062 .274 .637 .846 .653 .265 .041 .000 .010 .080 .288 .608 .767 .572 .224 .033 .000 146 .156 5846 -.969 11.93740 .006247 .252844 .020098 Correlation Surface at 246 5846 .107 .045 .012 .000 .098 .500 .664 .170 .009 .000 .019 .003 .003 .130 .317 .528 .332 .066 .019 .074 .006 .091 .316 .275 .415 .328 .092 .029 .025 .030 .561 .810 .464 .434 .253 .099 .018 .007 .252 .929 1.000 .604 .470 .246 .172 .001 .069 .361 .501 .473 .521 .472 .234 .265 .005 .072 .187 .049 .054 .315 .296 .119 .245 .003 .013 .041 .018 .039 .056 .051 .036 .126 .049 .010 .000 .060 .245 .021 .000 .051 .091 r_peak,r_snr = 9.31226E-02 8.54016 Correlation Surface of oversamples image at 246 5846 .006 .259 1.137 2.706 4.000 3.886 2.558 1.189 .422 .025 .281 .990 2.087 2.956 3.061 2.357 1.346 .548 .117 .408 .877 1.355 1.676 1.854 1.714 1.150 .504 .415 .789 .994 .941 .877 1.014 1.125 .853 .418 .996 1.499 1.365 .853 .556 .606 .756 .624 .340 246 1.719 5846 -14.844 8.54016 .192585 .080592 -.014916 Correlation Surface at 346 5846 .001 .000 .000 .086 .430 .251 .055 .017 .034 .016 .019 .015 .058 .433 .164 .001 .000 .012 .034 .039 .022 .079 .511 .180 .001 .005 .002 .016 .011 .000 .205 .825 .380 .001 .010 .000 .001 .000 .003 .271 1.000 .490 .002 .020 .003 .001 .000 .000 .137 .673 .311 .000 .012 .000 .000 .006 .011 .062 .381 .163 .002 .000 .000 .000 .011 .001 .111 .365 .160 .008 .000 .008 .001 .007 .014 .235 .451 .213 .017 .006 .039 r_peak,r_snr = .165176 20.93708 Correlation Surface of oversamples image at 346 5846 .120 .033 .011 .181 .379 .315 .091 .000 .036 .091 .010 .042 .272 .482 .379 .110 .000 .041 .040 .001 .120 .429 .660 .518 .180 .008 .023 .009 .022 .225 .610 .868 .699 .289 .036 .007 .001 .043 .283 .711 1.000 .834 .383 .069 .001 .001 .034 .249 .667 .976 .844 .407 .081 .001 .008 .009 .151 .497 .797 .717 .346 .064 .001 .024 .000 .060 .299 .553 .522 .243 .037 .003 .036 .007 .018 .169 .363 .356 .158 .020 .003 346 .094 5846 -.281 20.93708 .008302 .051513 -.000513 Correlation Surface at 446 5846 .022 .001 .003 .001 .003 .003 .011 .052 .152 .030 .006 .001 .012 .010 .016 .066 .089 .149 .008 .024 .016 .020 .277 .198 .215 .145 .200 .130 .188 .127 .244 .915 .536 .369 .216 .204 .169 .348 .290 .471 1.000 .651 .433 .234 .088 .064 .329 .328 .431 .584 .583 .318 .105 .009 .004 .151 .173 .254 .400 .494 .133 .009 .001 .001 .024 .023 .080 .366 .371 .043 .002 .027 .001 .001 .002 .018 .255 .217 .065 .060 .097 r_peak,r_snr = .1079347 9.31231 Correlation Surface of oversamples image at 446 5846 .019 .003 .004 .029 .065 .066 .058 .069 .079 .048 .022 .038 .128 .245 .273 .242 .220 .190 .086 .070 .128 .322 .552 .602 .513 .417 .326 .123 .142 .264 .556 .860 .897 .740 .580 .454 .160 .217 .393 .717 1.000 1.000 .825 .664 .548 .201 .285 .477 .749 .930 .911 .788 .684 .593 .243 .332 .499 .673 .748 .739 .700 .653 .558 .265 .337 .453 .543 .562 .577 .599 .564 .430 .258 .293 .364 .419 .436 .473 .508 .439 .268 446 .250 5846 .500 9.31231 .041430 .123491 .011780 Correlation Surface at 646 5846 .454 .546 .641 .619 .554 .487 .355 .312 .234 .437 .479 .547 .592 .643 .543 .379 .314 .217 .432 .450 .494 .633 .805 .632 .405 .324 .252 .438 .438 .470 .699 .935 .674 .400 .349 .334 .472 .442 .467 .742 1.000 .725 .435 .400 .374 .510 .477 .483 .711 .960 .769 .520 .470 .364 .510 .530 .492 .613 .838 .771 .601 .542 .394 .472 .517 .455 .512 .728 .737 .629 .590 .455 .427 .429 .399 .453 .673 .734 .675 .643 .505 r_peak,r_snr = .555129 3.15569 Correlation Surface of oversamples image at 646 5846 .415 .481 .568 .657 .728 .716 .543 .371 .250 .373 .451 .571 .699 .792 .769 .568 .379 .248 .343 .445 .606 .772 .873 .829 .598 .390 .246 .324 .453 .655 .852 .952 .882 .625 .398 .242 .313 .461 .688 .905 1.000 .910 .638 .401 .239 .312 .459 .684 .908 .999 .902 .631 .399 .241 .313 .434 .628 .849 .944 .851 .601 .390 .248 .312 .392 .546 .755 .857 .775 .559 .382 .260 .314 .355 .478 .673 .773 .701 .521 .381 .278 646 .031 5846 .250 3.15569 .002396 .036071 -.001741 Correlation Surface at 746 5846 .136 .208 .465 .784 .770 .450 .238 .137 .122 .114 .194 .425 .694 .684 .416 .235 .145 .138 .133 .201 .369 .657 .726 .449 .235 .154 .149 .151 .194 .316 .692 .898 .526 .235 .162 .148 .116 .150 .269 .708 1.000 .577 .239 .151 .129 .081 .109 .227 .663 .972 .599 .258 .145 .118 .083 .099 .197 .602 .948 .617 .274 .158 .124 .093 .105 .183 .567 .961 .606 .250 .158 .125 .081 .100 .170 .551 .947 .569 .217 .135 .107 r_peak,r_snr = .4028874 4.29521 Correlation Surface of oversamples image at 746 5846 .574 1.245 2.335 3.445 3.930 3.490 2.451 1.438 .787 .538 1.170 2.240 3.398 3.961 3.557 2.505 1.475 .810 .486 1.071 2.127 3.329 3.933 3.521 2.459 1.435 .781 .445 1.008 2.091 3.352 3.959 3.498 2.416 1.400 .757 746 .000 5846 -.219 4.29521 .003662 .072248 -.003440 Correlation Surface at 846 5846 .004 .067 .095 .367 .405 .106 .002 .000 .000 .004 .048 .094 .331 .239 .047 .002 .015 .025 .024 .012 .058 .191 .122 .050 .002 .025 .091 .055 .006 .026 .217 .354 .255 .053 .023 .095 .074 .016 .034 .434 1.000 .647 .077 .013 .032 .069 .000 .071 .455 .897 .505 .030 .005 .006 .029 .012 .042 .184 .321 .160 .004 .007 .012 .000 .012 .002 .046 .131 .070 .000 .020 .021 .001 .002 .001 .038 .135 .056 .007 .023 .002 r_peak,r_snr = .1494495 20.99544 Correlation Surface of oversamples image at 846 5846 .049 .087 .133 .145 .137 .150 .168 .139 .057 .026 .079 .163 .239 .286 .329 .348 .275 .115 .017 .090 .248 .447 .591 .644 .594 .404 .147 .019 .117 .357 .683 .911 .935 .765 .442 .133 .028 .139 .413 .775 1.000 .981 .734 .370 .093 .040 .134 .360 .642 .796 .754 .538 .251 .056 .051 .100 .233 .396 .477 .451 .326 .155 .037 .052 .056 .109 .186 .232 .237 .192 .106 .031 .036 .020 .033 .069 .108 .138 .136 .088 .026 846 .219 5846 .375 20.99544 .018889 .024945 .000059 Correlation Surface at 946 5846 .027 .014 .022 .027 .103 .106 .033 .008 .010 .026 .027 .064 .078 .168 .104 .028 .021 .022 .023 .040 .106 .170 .320 .176 .032 .023 .018 .048 .060 .115 .264 .672 .437 .070 .023 .015 .093 .088 .114 .324 1.000 .720 .129 .028 .006 .098 .095 .118 .318 .827 .605 .128 .014 .002 .057 .061 .117 .243 .416 .325 .088 .002 .015 .021 .026 .088 .164 .241 .226 .084 .003 .003 .025 .024 .056 .158 .266 .224 .094 .021 .007 r_peak,r_snr = .2179476 15.48378 Correlation Surface of oversamples image at 946 5846 .156 .214 .348 .478 .445 .266 .098 .020 .005 .163 .241 .430 .642 .653 .424 .165 .032 .004 .155 .251 .499 .806 .863 .581 .230 .046 .005 .142 .246 .537 .912 1.000 .677 .273 .062 .010 .129 .229 .521 .905 1.000 .681 .287 .079 .019 .124 .207 .451 .778 .868 .608 .279 .095 .028 .129 .185 .354 .592 .678 .507 .263 .108 .032 .136 .163 .262 .423 .510 .422 .253 .118 .031 .131 .141 .195 .307 .393 .362 .247 .122 .026 946 .344 5846 .250 15.48379 .007681 .027982 -.001087 Correlation Surface at 1046 5846 .314 .315 .310 .178 .044 .004 .051 .062 .021 .204 .320 .248 .129 .079 .018 .022 .034 .037 .071 .203 .157 .203 .377 .129 .011 .008 .010 .001 .064 .122 .391 .923 .376 .027 .009 .006 .020 .004 .101 .433 1.000 .460 .077 .056 .041 .008 .003 .111 .378 .720 .364 .116 .136 .091 .000 .011 .126 .367 .612 .380 .153 .125 .037 .006 .001 .033 .184 .447 .401 .160 .046 .001 .038 .043 .017 .013 .184 .243 .102 .015 .007 r_peak,r_snr = .1355679 13.66781 Correlation Surface of oversamples image at 1046 5846 .168 .179 .193 .189 .163 .105 .048 .024 .021 .154 .199 .271 .342 .366 .281 .142 .056 .024 .155 .242 .386 .560 .663 .547 .292 .108 .035 .159 .279 .477 .737 .919 .785 .432 .164 .055 .155 .280 .487 .780 1.000 .872 .488 .194 .075 .138 .248 .433 .706 .916 .800 .456 .198 .096 .122 .213 .366 .592 .758 .659 .391 .197 .125 .113 .192 .321 .495 .606 .530 .345 .210 .166 .111 .194 .315 .444 .506 .454 .337 .250 .222 1046 .094 5846 .469 13.66782 .015980 .153124 -.000049 Correlation Surface at 1146 5846 .059 .045 .024 .067 .111 .083 .019 .003 .026 .058 .051 .052 .132 .178 .106 .021 .008 .056 .093 .150 .169 .292 .444 .306 .065 .002 .047 .100 .262 .284 .392 .831 .701 .162 .001 .024 .097 .305 .269 .306 1.000 .889 .231 .008 .019 .130 .348 .222 .188 .739 .602 .153 .000 .037 .155 .373 .227 .125 .372 .266 .038 .020 .036 .105 .287 .190 .099 .196 .177 .030 .008 .002 .051 .147 .128 .098 .203 .260 .095 .001 .009 r_peak,r_snr = .1556118 15.03297 Correlation Surface of oversamples image at 1146 5846 .225 .289 .399 .472 .441 .317 .173 .065 .006 .264 .319 .446 .572 .597 .475 .281 .112 .015 .268 .318 .478 .684 .775 .649 .396 .160 .025 .248 .295 .497 .793 .930 .771 .461 .181 .029 .223 .268 .506 .865 1.000 .782 .440 .163 .024 .215 .252 .505 .873 .957 .683 .346 .116 .013 .222 .243 .475 .792 .805 .516 .226 .063 .003 .226 .220 .400 .628 .597 .351 .133 .028 .000 .207 .177 .295 .443 .410 .234 .084 .014 .002 1146 .406 5846 .125 15.03298 .019996 .081968 -.007405 Correlation Surface at 1246 5846 .001 .009 .008 .019 .351 .582 .192 .003 .007 .000 .000 .004 .097 .482 .572 .185 .001 .029 .001 .002 .000 .102 .587 .568 .162 .000 .051 .000 .002 .015 .088 .832 .662 .126 .000 .031 .004 .000 .012 .137 1.000 .613 .062 .001 .014 .001 .000 .000 .153 .666 .372 .036 .005 .011 .002 .002 .003 .087 .281 .230 .077 .017 .012 .002 .003 .000 .038 .160 .217 .137 .023 .011 .003 .005 .001 .040 .151 .169 .102 .006 .018 r_peak,r_snr = .2040354 17.80739 Correlation Surface of oversamples image at 1246 5846 .164 .177 .251 .373 .429 .330 .150 .034 .001 .084 .104 .218 .434 .575 .462 .206 .042 .001 .035 .063 .216 .541 .778 .628 .262 .042 .000 .018 .054 .245 .663 .958 .742 .277 .029 .002 .020 .068 .283 .724 1.000 .726 .232 .010 .013 .034 .092 .294 .666 .866 .590 .160 .001 .029 .054 .110 .259 .509 .624 .408 .098 .000 .036 .068 .108 .195 .335 .397 .263 .065 .000 .026 .064 .086 .131 .209 .254 .187 .059 .001 .012 1246 .031 5846 -.125 17.80740 .005231 .033855 .003716 Correlation Surface at 1346 5846 .512 .538 .377 .041 .052 .062 .033 .011 .000 .358 .465 .252 .009 .044 .038 .045 .023 .008 .243 .394 .218 .004 .096 .138 .119 .052 .013 .160 .300 .272 .003 .425 .463 .173 .057 .010 .072 .207 .306 .005 1.000 .540 .070 .025 .004 .031 .210 .296 .025 .958 .247 .001 .000 .003 .058 .367 .389 .001 .453 .077 .003 .008 .024 .153 .525 .580 .031 .176 .062 .001 .008 .002 .312 .605 .747 .106 .120 .121 .035 .006 .065 r_peak,r_snr = .1294525 5.77883 Correlation Surface of oversamples image at 1346 5846 .623 .279 .029 .028 .150 .235 .282 .315 .299 .636 .292 .017 .092 .376 .544 .539 .449 .317 .642 .292 .005 .207 .678 .853 .676 .414 .215 .634 .271 .000 .344 .932 .999 .616 .258 .087 .615 .237 .004 .431 1.000 .915 .429 .109 .015 .625 .230 .005 .388 .835 .667 .233 .027 .000 .682 .266 .000 .250 .566 .418 .115 .004 .005 .773 .348 .015 .115 .340 .265 .075 .004 .004 .892 .478 .069 .031 .198 .198 .079 .012 .000 1346 3.219 5846 3.281 5.77883 .007120 .051638 .005326 Correlation Surface at 1446 5846 .000 .002 .063 .085 .090 .032 .011 .006 .001 .001 .000 .013 .066 .152 .088 .016 .002 .001 .000 .001 .002 .051 .278 .188 .022 .000 .001 .026 .010 .002 .107 .622 .381 .025 .001 .000 .108 .012 .006 .240 1.000 .471 .006 .016 .007 .151 .007 .021 .253 .849 .274 .004 .065 .057 .130 .006 .016 .147 .418 .106 .006 .055 .066 .073 .002 .015 .092 .243 .106 .007 .004 .022 .018 .001 .017 .081 .245 .217 .074 .006 .009 r_peak,r_snr = .196075 24.80264 Correlation Surface of oversamples image at 1446 5846 .002 .001 .047 .190 .361 .406 .278 .109 .019 .001 .009 .100 .332 .579 .614 .401 .153 .028 .001 .034 .190 .518 .823 .808 .485 .171 .028 .010 .074 .285 .677 .996 .896 .481 .145 .017 .026 .110 .339 .727 1.000 .822 .381 .088 .004 .039 .124 .327 .646 .834 .619 .236 .033 .001 .047 .121 .276 .502 .605 .401 .116 .005 .009 .055 .118 .229 .377 .421 .250 .054 .000 .013 .063 .118 .200 .299 .316 .181 .037 .000 .006 1446 .094 5846 .219 24.80265 .005794 .032612 .003384 Correlation Surface at 1546 5846 .020 .000 .053 .038 .038 .006 .020 .007 .017 .065 .107 .059 .002 .133 .068 .001 .009 .013 .090 .104 .161 .000 .379 .163 .090 .170 .001 .134 .020 .050 .059 .549 .299 .192 .304 .021 .091 .014 .002 .378 1.000 .507 .128 .183 .042 r_peak,r_snr = 7.19058E-02 7.79857 Correlation Surface of oversamples image at 1546 5846 .068 .029 .018 .170 .244 .165 .028 .057 .517 .036 .001 .071 .248 .338 .285 .081 .038 .536 .006 .026 .191 .400 .533 .505 .195 .010 .428 .000 .098 .355 .623 .809 .772 .341 .001 .231 .006 .155 .472 .802 1.000 .901 .421 .028 .051 .006 .129 .404 .707 .838 .700 .345 .067 .002 .000 .042 .179 .341 .379 .299 .173 .081 .063 .012 .000 .015 .044 .044 .040 .050 .071 .132 .052 .040 .027 .024 .025 .006 .006 .049 .130 1546 4.625 5846 16.031 7.79857 .059112 .142586 .028051 Correlation Surface at 1646 5846 .036 .052 .022 .000 .016 .006 .012 .029 .005 .105 .137 .041 .007 .030 .000 .006 .006 .012 .143 .163 .046 .015 .144 .029 .002 .006 .025 .087 .078 .037 .041 .588 .202 .001 .006 .015 .031 .022 .033 .106 1.000 .261 .001 .000 .000 .019 .021 .048 .072 .518 .049 .013 .000 .002 .032 .084 .126 .000 .031 .011 .035 .005 .000 .049 .185 .213 .040 .010 .031 .017 .006 .000 .032 .123 .133 .031 .006 .000 .000 .000 .005 r_peak,r_snr = .1577982 26.95351 Correlation Surface of oversamples image at 1646 5846 .048 .001 .024 .125 .248 .224 .076 .006 .000 .043 .002 .031 .210 .462 .436 .165 .019 .000 .035 .003 .044 .335 .738 .680 .252 .027 .000 .035 .005 .058 .460 .964 .825 .275 .021 .002 .043 .008 .066 .516 1.000 .768 .210 .005 .010 .059 .013 .056 .443 .784 .517 .093 .002 .026 .085 .024 .027 .266 .431 .220 .010 .027 .047 .111 .039 .005 .104 .153 .044 .006 .060 .055 .133 .055 .001 .020 .026 .000 .032 .066 .043 1646 .125 5846 -.219 26.95352 .004935 .018613 .001539 Correlation Surface at 1746 5846 .043 .023 .001 .067 .125 .055 .061 .077 .010 .127 .057 .002 .152 .299 .155 .056 .036 .001 .133 .077 .000 .235 .603 .414 .100 .039 .000 .060 .080 .003 .281 .917 .610 .115 .046 .000 .017 .081 .002 .316 1.000 .518 .076 .035 .002 .018 .077 .001 .325 .786 .275 .050 .024 .003 .050 .059 .013 .320 .536 .143 .041 .009 .003 .073 .020 .028 .235 .385 .120 .024 .001 .004 .040 .001 .031 .135 .275 .116 .011 .003 .011 r_peak,r_snr = .1848691 17.90961 Correlation Surface of oversamples image at 1746 5846 .008 .060 .155 .235 .230 .156 .100 .075 .059 .015 .100 .258 .417 .437 .309 .178 .103 .063 .025 .147 .380 .633 .684 .491 .268 .133 .071 .034 .189 .490 .821 .891 .636 .330 .149 .077 .041 .218 .561 .931 1.000 .697 .345 .150 .080 .045 .227 .579 .948 .996 .670 .319 .142 .086 .045 .216 .545 .875 .885 .566 .267 .132 .094 .044 .194 .476 .735 .699 .420 .205 .123 .102 .046 .175 .400 .574 .498 .277 .146 .112 .104 1746 .313 5846 -1.219 17.90961 .009398 .123420 .015061 Correlation Surface at 1846 5846 .434 .481 .524 .534 .569 .571 .590 .731 .768 .405 .417 .449 .538 .541 .516 .545 .703 .829 .384 .381 .451 .563 .610 .602 .562 .666 .822 .368 .381 .471 .583 .804 .808 .655 .634 .681 .376 .433 .525 .693 1.000 .935 .766 .655 .610 .430 .539 .615 .838 .970 .815 .773 .706 .688 .464 .587 .650 .880 .792 .657 .746 .773 .816 .466 .545 .615 .841 .728 .707 .827 .817 .866 .445 .496 .572 .791 .789 .886 .923 .800 .859 r_peak,r_snr = .3619601 1.77928 Correlation Surface of oversamples image at 1846 5846 .419 .456 .509 .579 .644 .659 .613 .553 .527 .444 .479 .546 .658 .768 .792 .723 .632 .578 .478 .515 .603 .755 .892 .908 .819 .714 .646 .521 .566 .679 .851 .978 .967 .869 .771 .709 .572 .630 .760 .923 1.000 .951 .856 .786 .748 .619 .689 .821 .945 .954 .870 .791 .757 .751 .647 .725 .845 .917 .866 .765 .707 .706 .728 .647 .732 .836 .863 .780 .683 .647 .667 .707 .624 .715 .805 .807 .721 .646 .633 .666 .708 1846 .125 5846 .313 1.77928 .016248 .039172 .010352 Correlation Surface at 1946 5846 .288 .393 .530 .490 .430 .475 .454 .437 .332 .290 .401 .554 .562 .485 .471 .386 .343 .279 .296 .389 .535 .608 .665 .566 .358 .289 .234 .301 .357 .418 .560 .929 .803 .412 .266 .212 .318 .301 .299 .488 1.000 .899 .458 .242 .197 .331 .263 .263 .442 .755 .691 .414 .222 .197 .300 .278 .297 .394 .501 .510 .378 .248 .244 .254 .332 .359 .367 .425 .478 .386 .317 .333 .249 .395 .433 .426 .478 .465 .383 .351 .378 r_peak,r_snr = .3412571 3.75177 Correlation Surface of oversamples image at 1946 5846 .368 .383 .403 .440 .456 .415 .343 .284 .250 .370 .411 .469 .544 .574 .514 .408 .320 .266 .353 .428 .544 .681 .739 .652 .495 .363 .281 .320 .430 .613 .819 .904 .789 .577 .400 .287 .280 .416 .650 .902 1.000 .865 .620 .415 .282 .245 .395 .644 .896 .981 .846 .610 .407 .269 .227 .373 .598 .802 .858 .744 .554 .379 .252 .225 .350 .522 .656 .682 .604 .474 .339 .233 .233 .323 .432 .504 .513 .474 .399 .300 .219 1946 .438 5846 -.313 3.75177 .006312 .021938 -.000391 Correlation Surface at 2046 5846 .143 .238 .316 .106 .006 .004 .015 .042 .081 .165 .184 .257 .051 .011 .009 .034 .107 .068 .169 .169 .140 .001 .202 .126 .029 .115 .044 .151 .162 .083 .037 .709 .334 .000 .018 .012 .087 .116 .059 .132 1.000 .368 .020 .020 .004 .074 .119 .062 .104 .559 .159 .025 .061 .017 .128 .170 .111 .002 .079 .019 .008 .011 .002 .148 .195 .182 .044 .001 .000 .000 .014 .051 .103 .181 .203 .054 .003 .000 .003 .044 .050 r_peak,r_snr = .1708215 19.47908 Correlation Surface of oversamples image at 2046 5846 .214 .093 .006 .040 .185 .239 .102 .000 .067 .159 .049 .003 .155 .445 .491 .202 .006 .048 .134 .025 .031 .339 .766 .744 .297 .021 .019 .122 .013 .077 .523 .998 .871 .340 .039 .001 .113 .006 .114 .597 1.000 .796 .303 .048 .003 .109 .004 .110 .503 .762 .555 .201 .038 .013 .111 .007 .064 .295 .419 .277 .091 .022 .020 .119 .018 .015 .105 .148 .087 .025 .011 .027 .130 .041 .001 .012 .023 .011 .003 .009 .037 2046 .125 5846 -.313 19.47908 .005222 .023550 .002285 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .1724946 11.17008 146 .063 3046 -.094 11.17009 .008842 .234059 .007022 r_peak,r_snr = .1654516 17.46389 246 -.156 3046 .219 17.46389 .006750 .029847 -.000006 r_peak,r_snr = 7.70337E-02 6.09483 346 1.875 3046 -12.094 6.09483 .055136 .156933 -.028369 r_peak,r_snr = .1605421 13.25625 446 -.094 3046 -.594 13.25625 .013442 .165014 -.002817 r_peak,r_snr = .3216913 12.44957 546 -.031 3046 .281 12.44957 .003424 .087608 .001778 r_peak,r_snr = .2480974 25.78805 646 -.094 3046 .813 25.78806 .003358 .024625 .000903 r_peak,r_snr = .2817643 22.16456 746 -.031 3046 -.188 22.16457 .002775 .016461 -.000948 r_peak,r_snr = .114094 11.7217 846 -.094 3046 -.625 11.72171 .012194 .113946 -.011151 r_peak,r_snr = .3594556 5.53453 946 -.031 3046 .875 5.53453 .006940 1.433186 .069576 r_peak,r_snr = .1330226 13.55439 1046 -.125 3046 1.563 13.55440 .011928 .469680 .032647 r_peak,r_snr = .1374 11.42881 1146 .438 3046 -.625 11.42881 .014627 .106541 .001765 r_peak,r_snr = .1265512 8.24274 1246 -.344 3046 6.125 8.24274 .011616 .191735 .007624 r_peak,r_snr = .1283298 11.54463 1346 .125 3046 -.406 11.54463 .013919 .049285 .007602 r_peak,r_snr = 8.91231E-02 7.88367 1446 .594 3046 3.938 7.88367 .055717 .581678 .088437 r_peak,r_snr = .157869 8.18537 1546 -1.594 3046 9.594 8.18537 .021357 .220736 .011983 r_peak,r_snr = .1866643 15.98559 1646 .094 3046 -.188 15.98560 .007356 .054143 .002889 r_peak,r_snr = .1109817 16.2598 1746 .063 3046 .469 16.25980 .020569 .107706 .023801 r_peak,r_snr = .1860696 13.19241 1846 -.031 3046 -.313 13.19242 .009838 .032521 .000970 r_peak,r_snr = .4738368 13.85965 1946 .156 3046 .063 13.85966 .001399 .020009 .000316 r_peak,r_snr = .1235609 9.13337 2046 -.063 3046 .281 9.13337 .017392 .162236 .021563 At line = 3400 Reading in data.... r_peak,r_snr = .1583773 7.57549 146 .219 3446 .156 7.57549 .021865 .086822 -.013601 r_peak,r_snr = .1999098 29.01538 246 -.094 3446 -.156 29.01539 .005314 .036327 -.002794 r_peak,r_snr = .1793762 6.07351 346 -.031 3446 -.438 6.07351 .017464 .112334 -.020181 r_peak,r_snr = .1921546 3.5083 446 -1.156 3446 -9.344 3.50830 .033196 .140049 -.022968 r_peak,r_snr = .4245963 5.44234 546 .063 3446 .094 5.44234 .002669 .010820 .000541 r_peak,r_snr = .3094291 4.20822 646 -.313 3446 -.688 4.20822 .014963 .558358 -.066784 r_peak,r_snr = .1618426 18.72103 746 -.063 3446 .375 18.72104 .004184 .054642 -.000304 r_peak,r_snr = .1537235 18.48472 846 .063 3446 -.469 18.48473 .006401 .052321 -.003191 r_peak,r_snr = .241282 12.38881 946 .094 3446 .594 12.38882 .005354 .028611 .001291 r_peak,r_snr = .1287837 6.19596 1046 -1.656 3446 12.938 6.19596 .240356 .129271 -.040381 r_peak,r_snr = .1186325 9.22218 1146 -.938 3446 2.844 9.22218 .037136 .116844 .029042 r_peak,r_snr = .1738476 23.22053 1246 .000 3446 -.125 23.22054 .005207 .081570 .004712 r_peak,r_snr = 9.11319E-02 10.04016 1346 -.125 3446 -1.125 10.04016 .013659 .094819 -.001067 r_peak,r_snr = .1845931 3.49273 1446 -3.844 3446 6.781 3.49273 .054664 .169060 .055042 r_peak,r_snr = .2510812 16.21941 1546 .063 3446 -.438 16.21942 .003800 .034625 .000464 r_peak,r_snr = .1850181 13.85533 1646 -.063 3446 .594 13.85534 .012356 .046038 -.004081 r_peak,r_snr = .2157657 14.53929 1746 -.094 3446 .500 14.53929 .008918 .087318 .004092 r_peak,r_snr = .1183172 6.677 1846 .531 3446 2.719 6.67700 .010514 .227319 -.012294 r_peak,r_snr = .3457555 8.83291 1946 .063 3446 -.156 8.83291 .003402 .016310 -.000199 r_peak,r_snr = .1394111 5.96961 2046 .625 3446 -9.469 5.96961 .016673 .264086 .026997 At line = 3800 Reading in data.... r_peak,r_snr = .1150895 7.66674 146 .094 3846 5.188 7.66674 .034171 .168489 -.019296 r_peak,r_snr = .220053 6.89654 246 -.125 3846 .063 6.89654 .010021 .040634 .008175 r_peak,r_snr = .3275821 3.57022 346 .063 3846 -.094 3.57022 .005289 .020779 -.001007 r_peak,r_snr = .2097374 3.7719 446 -.281 3846 -.094 3.77190 .011863 .024088 .000395 r_peak,r_snr = .4036355 5.62701 546 .313 3846 -.219 5.62701 .007732 .098400 .001970 r_peak,r_snr = .446141 8.02353 646 .094 3846 -.625 8.02353 .002836 .045612 .001448 r_peak,r_snr = .1222806 13.97533 746 .094 3846 -2.938 13.97533 .011743 .059445 .001333 r_peak,r_snr = .1288883 16.40787 846 .063 3846 .063 16.40788 .008201 .046263 -.001458 r_peak,r_snr = .3960394 4.61908 946 -.063 3846 -.375 4.61908 .002942 .037058 .000026 r_peak,r_snr = .2128867 5.39724 1046 -2.594 3846 -3.656 5.39724 .006473 .042064 .000132 r_peak,r_snr = 9.97364E-02 6.77374 1146 .531 3846 -12.000 6.77374 .061899 .161235 .037550 r_peak,r_snr = .1226064 15.39227 1246 -.094 3846 -.719 15.39227 .012326 .208157 -.013264 r_peak,r_snr = .3048076 8.74501 1346 .000 3846 .344 8.74501 .006076 .080127 .009418 r_peak,r_snr = .2304286 22.71408 1446 .094 3846 .000 22.71408 .004770 .022928 .001953 r_peak,r_snr = .3976161 31.13101 1546 .031 3846 .063 31.13102 .001326 .010351 .000225 r_peak,r_snr = .1876758 20.71354 1646 .125 3846 .094 20.71355 .005166 .026920 .003565 r_peak,r_snr = .1068219 10.69275 1746 -6.313 3846 10.750 10.69276 .026092 .075091 .009503 r_peak,r_snr = .2151158 13.52135 1846 -.125 3846 -1.063 13.52135 .005901 .131686 .001760 r_peak,r_snr = .3382528 5.46402 1946 -.063 3846 -.438 5.46402 .008033 .040858 .002883 r_peak,r_snr = .4994337 12.40634 2046 .094 3846 -.125 12.40635 .001458 .023989 -.000486 At line = 4200 Reading in data.... r_peak,r_snr = .1562635 16.74736 146 -.219 4246 .188 16.74737 .010255 .070094 -.008228 r_peak,r_snr = .2073282 36.36806 246 .031 4246 -.156 36.36806 .004228 .011404 -.000274 r_peak,r_snr = .4452774 3.64408 346 .000 4246 -.250 3.64408 .005846 .010434 .000166 r_peak,r_snr = .1905969 21.6105 446 .031 4246 -.563 21.61051 .007717 .027431 -.000425 r_peak,r_snr = .5152602 5.98767 546 -.156 4246 .313 5.98767 .002019 .019897 .001890 r_peak,r_snr = .6002758 3.05226 646 .156 4246 -.625 3.05226 .002579 .013704 -.000098 r_peak,r_snr = .3918943 11.98382 746 .250 4246 .781 11.98382 .002458 .016885 -.000490 r_peak,r_snr = .135191 15.98731 846 -.188 4246 .031 15.98732 .012677 .058330 -.002046 r_peak,r_snr = .1807684 9.42548 946 -.125 4246 .063 9.42548 .006322 .058266 -.000063 r_peak,r_snr = .1167591 18.21419 1046 .313 4246 -.344 18.21420 .056319 .099565 .047864 r_peak,r_snr = 9.26021E-02 10.33843 1146 7.000 4246 12.813 10.33844 .140556 .065416 -.040675 r_peak,r_snr = .3474576 11.60977 1246 .031 4246 -.219 11.60977 .002960 .046764 .002090 r_peak,r_snr = .3969509 9.31367 1346 .000 4246 -.469 9.31367 .001840 .017154 .000280 r_peak,r_snr = .2868115 8.86827 1446 .125 4246 .344 8.86827 .003865 .043557 -.000068 r_peak,r_snr = .3059351 18.43275 1546 .000 4246 -.281 18.43275 .001856 .016669 .001157 r_peak,r_snr = 8.69156E-02 8.38154 1646 .250 4246 -.563 8.38154 .042261 .057689 -.018427 r_peak,r_snr = .3131383 19.03018 1846 .000 4246 -.469 19.03018 .002816 .039835 .001507 r_peak,r_snr = .4011037 8.42003 1946 -.125 4246 .781 8.42003 .002073 .028493 .000572 r_peak,r_snr = .1770567 4.45323 2046 .469 4246 -1.750 4.45323 .061521 .587473 -.101597 At line = 4600 Reading in data.... r_peak,r_snr = .2259253 8.63429 146 .219 4646 .156 8.63429 .008051 .018507 -.001338 r_peak,r_snr = .2148454 30.89034 246 .063 4646 .125 30.89034 .004205 .017308 -.002040 r_peak,r_snr = .3170571 5.69799 346 .000 4646 -.500 5.69799 .004804 .019636 -.000614 r_peak,r_snr = .1651209 13.13024 446 .000 4646 -.438 13.13024 .012663 .070211 -.000073 r_peak,r_snr = .562661 5.07016 546 .156 4646 .063 5.07016 .002776 .016051 .002033 r_peak,r_snr = .3335019 30.75253 646 .156 4646 -.125 30.75254 .001842 .005300 .000232 r_peak,r_snr = .2716729 7.56351 746 .000 4646 .875 7.56351 .003978 .527434 .002531 r_peak,r_snr = .1073205 11.55368 846 -.344 4646 .344 11.55368 .023865 .077203 -.000245 r_peak,r_snr = .2232203 21.92662 946 .156 4646 -.063 21.92663 .006505 .034297 .000736 r_peak,r_snr = 9.20827E-02 8.58509 1046 -5.875 4646 10.781 8.58509 .044090 .107455 .016857 r_peak,r_snr = 8.90658E-02 11.96649 1146 .625 4646 -9.500 11.96650 .018541 .345922 .039316 r_peak,r_snr = .1020985 8.42615 1246 -3.813 4646 -5.406 8.42615 .055446 .116570 .053007 r_peak,r_snr = .1615352 9.99686 1346 .063 4646 .406 9.99686 .015672 .333659 .050176 r_peak,r_snr = .2139282 24.70086 1446 .188 4646 .156 24.70086 .004093 .027483 -.000338 r_peak,r_snr = .336041 30.66499 1546 .031 4646 .219 30.66500 .001976 .012985 .000517 r_peak,r_snr = .1119718 10.33048 1646 5.500 4646 8.781 10.33048 .048302 .138129 .019958 r_peak,r_snr = .1212658 16.99417 1746 .313 4646 -.031 16.99417 .015139 .070441 .008792 r_peak,r_snr = .279632 9.06725 1846 .094 4646 .063 9.06725 .006348 .127378 .012657 r_peak,r_snr = .197755 5.36512 1946 .000 4646 -.500 5.36512 .009799 .069292 .006172 r_peak,r_snr = .1620946 7.47891 2046 .281 4646 .688 7.47891 .017423 .111939 -.006034 At line = 5000 Reading in data.... r_peak,r_snr = .2524412 10.22602 146 -.250 5046 -.031 10.22603 .007936 .032411 .005012 r_peak,r_snr = .1630765 28.25624 246 .156 5046 -.313 28.25625 .007047 .045110 .001553 r_peak,r_snr = .1662806 13.33953 346 -.094 5046 .313 13.33953 .012570 .109205 .012426 r_peak,r_snr = .265298 26.19401 446 .000 5046 -.406 26.19401 .003735 .021754 .001510 r_peak,r_snr = .5122834 3.14099 546 .250 5046 .031 3.14099 .005673 .019365 -.001722 r_peak,r_snr = .4814978 6.62885 646 .094 5046 -.125 6.62885 .002581 .008692 .000160 r_peak,r_snr = .2022601 11.96675 746 -.094 5046 3.750 11.96675 .004575 .292088 -.004031 r_peak,r_snr = .1479763 11.50606 846 .281 5046 -.688 11.50606 .010813 .205319 .001177 r_peak,r_snr = .1951525 13.18716 946 .156 5046 -.125 13.18716 .006063 .027750 .000293 r_peak,r_snr = .1240512 9.86126 1046 .656 5046 -3.500 9.86126 .018349 .241912 .031950 r_peak,r_snr = .1155847 11.66113 1146 .406 5046 .500 11.66113 .038325 .153448 .028016 r_peak,r_snr = .1315351 18.1928 1246 .156 5046 .313 18.19280 .017187 .065088 .007669 r_peak,r_snr = .3807226 5.78652 1346 .188 5046 -.125 5.78652 .009034 .072265 .004879 r_peak,r_snr = .2755364 10.61499 1446 -.188 5046 -.281 10.61499 .004270 .019701 -.001024 r_peak,r_snr = .1298912 9.82873 1546 -.031 5046 -.594 9.82873 .008905 .129664 .002588 r_peak,r_snr = .1222952 5.3522 1646 -.188 5046 -3.844 5.35220 .012105 .136518 -.004455 r_peak,r_snr = .4599729 4.23455 1746 .156 5046 .250 4.23455 .005280 .066477 -.001662 r_peak,r_snr = .356617 6.86862 1846 -.656 5046 3.813 6.86862 .005629 .133357 .014928 r_peak,r_snr = .3644424 8.07936 1946 .313 5046 -.188 8.07936 .003102 .025764 .000617 r_peak,r_snr = .122276 6.50559 2046 8.469 5046 2.938 6.50559 .015173 .194343 -.008988 At line = 5400 Reading in data.... r_peak,r_snr = .3188822 11.80281 146 .188 5446 -.406 11.80282 .002394 .062323 .000445 r_peak,r_snr = 9.73928E-02 10.6057 246 -.031 5446 -.344 10.60571 .013435 .212564 .006939 r_peak,r_snr = .1778293 26.07388 346 .094 5446 -.375 26.07388 .006685 .023810 .000410 r_peak,r_snr = .1799911 5.77452 446 .375 5446 -.250 5.77452 .008269 .044860 .003628 r_peak,r_snr = .4150588 2.48886 546 .063 5446 -.781 2.48886 .006866 .035041 -.004045 r_peak,r_snr = .3439549 7.26896 646 .094 5446 -.250 7.26896 .003210 .009403 -.000931 r_peak,r_snr = .3290072 9.57317 746 .063 5446 -.281 9.57317 .004105 .387386 .001493 r_peak,r_snr = .1501636 21.86031 846 .156 5446 .531 21.86032 .007339 .047799 .001546 r_peak,r_snr = .2262567 18.95731 946 .313 5446 .156 18.95732 .004286 .041621 -.000421 r_peak,r_snr = .1748633 33.38352 1046 .156 5446 .250 33.38353 .005850 .023849 -.000266 r_peak,r_snr = .1094815 10.31681 1146 -.031 5446 -.125 10.31681 .023959 .103635 .021424 r_peak,r_snr = .1295966 13.28084 1246 -.344 5446 .906 13.28085 .011854 .156165 .012237 r_peak,r_snr = .1492061 8.05287 1346 .000 5446 -.313 8.05287 .014213 .188755 -.017362 r_peak,r_snr = .3184204 18.13069 1446 .031 5446 .125 18.13070 .002638 .021832 .000794 r_peak,r_snr = 8.60221E-02 10.14575 1546 .250 5446 -.594 10.14576 .054150 .670606 .142405 r_peak,r_snr = .3412578 13.28376 1646 -.125 5446 .375 13.28376 .003576 .012314 -.000199 r_peak,r_snr = .5680783 1.25933 1746 4.094 5446 4.750 1.25933 .030211 .054959 .000225 r_peak,r_snr = .4366464 6.58713 1846 .063 5446 -.219 6.58713 .003358 .029172 -.000173 r_peak,r_snr = .3314926 10.56666 1946 .000 5446 .125 10.56667 .002394 .027901 .001039 r_peak,r_snr = .1447804 9.20555 2046 -.594 5446 7.844 9.20555 .021884 .109004 .014807 At line = 5800 Reading in data.... r_peak,r_snr = .2519346 19.88873 146 .063 5846 .500 19.88874 .002784 .051776 .000880 r_peak,r_snr = 8.31113E-02 6.84086 246 4.000 5846 -14.125 6.84086 .413536 .127611 -.105884 r_peak,r_snr = .1883886 14.28792 346 -.125 5846 -.844 14.28793 .007124 .093964 .003749 r_peak,r_snr = .1291856 7.32634 446 .969 5846 2.875 7.32634 .128741 1.225277 -.257586 r_peak,r_snr = .3866441 2.07514 546 -.969 5846 -3.188 2.07514 .036890 .163992 -.026015 r_peak,r_snr = .5922917 4.58782 646 -.156 5846 .063 4.58782 .001393 .008542 -.000167 r_peak,r_snr = .5276906 8.85277 746 .031 5846 -.750 8.85277 .001282 .019187 .000304 r_peak,r_snr = .1126006 15.61596 846 .063 5846 -.094 15.61596 .008103 .046972 .002193 r_peak,r_snr = .1765667 6.22845 946 -2.875 5846 2.125 6.22845 .009292 .030503 .002831 r_peak,r_snr = .1642361 11.82859 1046 -.094 5846 .094 11.82860 .006786 .029644 .001695 r_peak,r_snr = .1641743 17.86811 1146 .063 5846 .344 17.86812 .008497 .043793 -.002356 r_peak,r_snr = .348082 19.00119 1246 -.063 5846 .469 19.00119 .002165 .017293 .001384 r_peak,r_snr = .2572698 19.0377 1346 -.031 5846 .188 19.03770 .003322 .037976 .000490 r_peak,r_snr = .1979797 24.70538 1446 .250 5846 .063 24.70539 .004658 .036111 .000816 r_peak,r_snr = .1079775 13.55154 1546 -.281 5846 -.250 13.55155 .014462 .068312 -.004530 r_peak,r_snr = 9.80217E-02 6.31788 1646 2.781 5846 -1.125 6.31788 .011064 .060990 -.007013 r_peak,r_snr = .1462889 12.64865 1746 .313 5846 .000 12.64865 .010937 .072007 -.000759 r_peak,r_snr = .238563 2.44608 1846 -4.906 5846 12.750 2.44608 .030247 .053129 -.003915 r_peak,r_snr = .1351609 7.24722 1946 -.219 5846 -.500 7.24722 .064665 .162030 .031430 r_peak,r_snr = .1236123 8.11423 2046 .250 5846 -.281 8.11423 .006512 .034382 -.000214 ************************************************* ***** 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 94055 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 94055 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 94055 FOUND CALIB SET 94055 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: -20.4 -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: -20.40 deg Receiver phase difference is -71.00 deg Transmitter phase difference is -91.40 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 Tue May 5 23:41:44 PDT 1998 Tue May 5 23:41:44 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: - - - - - - - - - - - - - - - - - - - - - With 1min to go, the waypoints switched causing some slight moti onng in turn, looks OK now; no drift, very smooth, winds 239 at 10kts; CPA @ 15:57:57 IDR=185650 FC=3,455,696 drft 0.1; no RFI upbrick, 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: 94055 94055 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5283 prod ID1:*5283*5283* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94055 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.30 2 7 5 14 12 4 >> start range = 8454.1485 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.30 2 7 5 14 12 4 Done decoding data from header array... Data collected on ==> 28-JUL-1994 Starting and end GPS times for SAR data -171316144.1290 -171316094.4100 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02511 -.60223 .33087 .1030186 0 ca .00148 -.14996 .13687 .0345836 0 aa -.01896 -.07379 .02023 .0173363 0 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87667 53.96667 .0258379 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58750 -.70000 -.40000 .0901388 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8217.74023 8220.54004 .6869713 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171316144.128886 -171316144.129 GPS trend coefficients = -1.42010488906122 4.16945907003871 -1.99895860812498 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 va -.02511 -.60223 .33087 .1030185 0 ca .00148 -.14996 .13687 .0345836 0 aa -.01896 -.07379 .02023 .0173363 0 hdg -20.07278 -20.13245 -20.03357 .0220110 0 trc -18.84917 -18.88550 -18.81958 .0143676 0 tgs 216.23423 216.19482 216.32343 .0384474 0 roll -.60701 -.76355 -.40649 .0720246 0 pitch 1.01652 .96680 1.07117 .0252367 0 delx .25720 .25714 .25722 .0000162 0 lati 53.91614 53.87146 53.96090 .0258716 0 loni -104.55744 -104.58332 -104.53165 .0149578 0 latd 53.92238 53.87833 53.96667 .0258334 0 lond -104.56233 -104.58833 -104.53667 .0151040 0 balt 7949.79979 7948.57440 7950.40320 .3960805 0 ralt 7769.37438 7758.68400 7775.75280 4.8159297 0 dpth .86281 .80000 .90000 .0483305 0 droll -.58719 -.70000 -.40000 .0904411 0 thd 340.18484 340.10000 340.30000 .0584030 0 dad .82375 .70000 .90000 .0553257 0 latg 53.92825 53.88311 53.97306 .0258303 0 long -104.56038 -104.58643 -104.53419 .0149988 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8219.68848 8219.07053 8220.12288 .2413959 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00395 -.58349 .35141 .1073023 0 ca .00149 -.15025 .13714 .0352738 0 aa -.01934 -.07393 .02027 .0175728 0 Average Barometric Altitude = 7949.799791250045 Average Radar Altitude = 7769.374383749964 Average GPS Altitude = 8219.688476562473 >>Record # : 64 >>GPS Stuff = 2.30 2 7 5 14 1 >>Record # : 40960 >>GPS Stuff = 2.30 2 7 5 14 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -1.786884683440348E-04 Standard deviation of difference = 4.659711531351848E-05 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9051514 -104.5469666 8219.648 End position = 53.9510384 -104.5736160 8219.845 Loxodromic Heading (deg) = -18.9192703 Loxodromic Distance (km) = 5399.0677095 Geodesic Heading (deg) = -18.9085032 Geodesic Distance (km) = 5399.0676483 Peg latitude and longitude = 53.9290161 -104.5608292 Peg heading = -18.9051483 Rotation matrix First row = -.148025618 -.121347904 -.981510623 Second row = -.569876003 .821582038 -.015630000 Third row = .808288165 .557025710 -.190768448 Translation vector Vector = -1974.48242 -7601.45550 -23806.15862 Local Radius of Curvature = 6378791.961001683 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2591878148260971 Delta s on reference surface = .2591878161798524 Making fits... Vertical fit coefficients = 8219.164516372755 .2273420806117201 2.190101594852222E-04 Cross track fit coefficients = -2.07452633470147 7.915281644957327E-02 1.192673375214600E-03 Along track fit coefficients = -5353.26609043967 216.3166763896361 5.179627030172717E-03 Miscellaneous Information Start range = 8454.1485 Start ground range = 3333.083939114361 Time orgin = -171316144.128886 Pulse spacing = .2572031263136548 First frame = 4121520 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/cm5283_p.par Enter the raw data file name. /data2/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5283_p.mocomph Enter a file name for the range spectrum: /data2/airops/db_p_hh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_hh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_hh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-150.922,.0) (270.0716,.0) (-413.051,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 55147.03 Pulse#/64: 65 1073 157079.8 Pulse#/64: 129 1073 80504.42 Pulse#/64: 193 1073 92294.87 Pulse#/64: 257 1073 247195.0 Estimate Caltone : 1158 -----CalTone Estimate Position --- CalTone Bin at : 1158 1073 CalTone Bin offset : -85 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.00092Power RMS: 3.42391 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 377.7649Amp. RMS: 118.9899 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 11.41814Phase RMS: 253.4791 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.10568 CalTone Power Coherently dB : 51.00092 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.10568 Incoherent PW - Coherent PW : 36.10475 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22576.33 CalTone Amplitude Coherently : 377.7649 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22198.57 ------------ *** ------------ running time (sec): 71.51 ********** 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/cm5283_p.par Enter the raw data file name. /data2/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5283_p.mocompv Enter a file name for the range spectrum: /data2/airops/db_p_hv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_hv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_hv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-19.9054,.0) (-59.7161,.0) (-155.262,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 232556.7 Pulse#/64: 65 1073 189030.4 Pulse#/64: 129 1073 225234.0 Pulse#/64: 193 1073 279332.9 Pulse#/64: 257 1073 158199.0 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.53498Power RMS: 1.55577 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 483.6927Amp. RMS: 108.0188 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 13.6977Phase RMS: 247.7208 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.39754 CalTone Power Coherently dB : 53.53498 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.39754 Incoherent PW - Coherent PW : 35.86256 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 29515.41 CalTone Amplitude Coherently : 483.6927 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 29031.72 ------------ *** ------------ running time (sec): 67.21 ********** 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/cm5283_p.par Enter the raw data file name. /data2/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5283_p.mocomph Enter a file name for the range spectrum: /data2/airops/db_p_vh.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_vh.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_vh.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (3.98107,.0) (-135.356,.0) (-63.6972,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 129769.6 Pulse#/64: 65 1073 132711.0 Pulse#/64: 129 1073 138368.0 Pulse#/64: 193 1073 147347.4 Pulse#/64: 257 1073 118239.0 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.07004Power RMS: 1.1499 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 360.9337Amp. RMS: 51.08961 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 93.24739Phase RMS: 248.1568 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.137 CalTone Power Coherently dB : 51.07004 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.137 Incoherent PW - Coherent PW : 36.06695 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22788.7 CalTone Amplitude Coherently : 360.9337 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22427.77 ------------ *** ------------ running time (sec): 66.87 ********** 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/cm5283_p.par Enter the raw data file name. /data2/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5283_p.mocompv Enter a file name for the range spectrum: /data2/airops/db_p_vv.dat Enter a file name for the sampled caltone power: /data2/airops/1st_p_vv.dat Enter histogram of the caltone power file name: /data2/airops/pw_hist_p_vv.dat Enter histogram of the caltone phase file name: /data2/airops/ph_hist_p_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25499.34 8451.15 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-79.4328,.0) (127.0925,.0) (182.6955,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 251910.7 Pulse#/64: 65 1073 249871.3 Pulse#/64: 129 1073 162262.6 Pulse#/64: 193 1073 137801.6 Pulse#/64: 257 1073 291268.2 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.38243Power RMS: 2.5132 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 488.0031Amp. RMS: 167.3416 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 103.5675Phase RMS: 227.8384 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.39566 CalTone Power Coherently dB : 53.38243 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.39566 Incoherent PW - Coherent PW : 36.01322 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 29494.59 CalTone Amplitude Coherently : 488.0031 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 29006.59 ------------ *** ------------ running time (sec): 67.55 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: -1.66889 5.67351E-05 z fit: constant and linear terms: .5240977 -4.55918E-09 y and z standard deviations (meters) .1712729 .2080436 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 = -1.52154E-03 -1.95138E-03 -2.05627E-03 -1.38013E-03 Differences = 2.05791E-04 -2.24050E-04 -3.28936E-04 3.47207E-04 PATCH NUMER 2 First line = 3493 Averages = -2.09894E-03 -1.30016E-03 -2.03397E-03 -1.62320E-03 Differences = -3.34872E-04 4.63916E-04 -2.69903E-04 1.40875E-04 PATCH NUMER 3 First line = 6985 Averages = -1.68752E-03 -2.00039E-03 -1.31575E-03 -1.59600E-03 Differences = -3.75995E-05 -3.50473E-04 3.34164E-04 5.39153E-05 PATCH NUMER 4 First line = 10477 Averages = -1.53641E-03 -1.41243E-03 -1.61975E-03 -5.93459E-04 Differences = -2.45884E-04 -1.21903E-04 -3.29227E-04 6.97063E-04 PATCH NUMER 5 First line = 13969 Averages = -1.68588E-03 -8.56402E-04 -6.02816E-04 -7.60081E-04 Differences = -7.09573E-04 1.19902E-04 3.73488E-04 2.16223E-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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_hh Name of the mocomp data file? /data3/airops/cm5283_p.mocomph Output file name? /data3/airops/cm5283_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 = 2.345 Processing 5 blocks Processing block number 1 reference line: 4096 2.345 seconds. Range compression done, time = 123.378 Motion comp. coeff. calculated, time = 123.435 Motion comp. added to patch, time = 216.957 Doppler estimation done, time = 216.957 Azimuth compression starting, time : 217.086 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 602.453 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 624.341 seconds. Range compression done, time = 732.391 Motion comp. coeff. calculated, time = 732.450 Motion comp. added to patch, time = 809.731 Doppler estimation done, time = 809.731 Azimuth compression starting, time : 809.845 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1194.175 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1214.375 seconds. Range compression done, time = 1323.114 Motion comp. coeff. calculated, time = 1323.345 Motion comp. added to patch, time = 1400.917 Doppler estimation done, time = 1400.917 Azimuth compression starting, time : 1401.069 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1787.924 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1808.058 seconds. Range compression done, time = 1924.365 Motion comp. coeff. calculated, time = 1924.589 Motion comp. added to patch, time = 2002.316 Doppler estimation done, time = 2002.316 Azimuth compression starting, time : 2002.443 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2404.190 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2424.484 seconds. Range compression done, time = 2531.954 Motion comp. coeff. calculated, time = 2532.116 Motion comp. added to patch, time = 2609.656 Doppler estimation done, time = 2609.656 Azimuth compression starting, time : 2609.788 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2992.858 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_p.hh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_hv Name of the mocomp data file? /data3/airops/cm5283_p.mocomph Output file name? /data3/airops/cm5283_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 = 2.332 Processing 5 blocks Processing block number 1 reference line: 4096 2.332 seconds. Range compression done, time = 114.708 Motion comp. coeff. calculated, time = 114.748 Motion comp. added to patch, time = 195.043 Doppler estimation done, time = 195.044 Azimuth compression starting, time : 195.159 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 580.693 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 602.240 seconds. Range compression done, time = 710.173 Motion comp. coeff. calculated, time = 710.231 Motion comp. added to patch, time = 788.093 Doppler estimation done, time = 788.093 Azimuth compression starting, time : 788.224 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1172.709 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1190.077 seconds. Range compression done, time = 1297.099 Motion comp. coeff. calculated, time = 1297.327 Motion comp. added to patch, time = 1374.968 Doppler estimation done, time = 1374.968 Azimuth compression starting, time : 1375.099 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1760.906 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1781.377 seconds. Range compression done, time = 1888.253 Motion comp. coeff. calculated, time = 1888.413 Motion comp. added to patch, time = 1965.633 Doppler estimation done, time = 1965.633 Azimuth compression starting, time : 1965.760 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2349.696 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2369.660 seconds. Range compression done, time = 2477.048 Motion comp. coeff. calculated, time = 2477.289 Motion comp. added to patch, time = 2554.698 Doppler estimation done, time = 2554.698 Azimuth compression starting, time : 2554.816 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2940.804 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_p.hv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_vh Name of the mocomp data file? /data3/airops/cm5283_p.mocompv Output file name? /data3/airops/cm5283_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 = 2.545 Processing 5 blocks Processing block number 1 reference line: 4096 2.545 seconds. Range compression done, time = 140.830 Motion comp. coeff. calculated, time = 140.871 Motion comp. added to patch, time = 221.762 Doppler estimation done, time = 221.762 Azimuth compression starting, time : 221.878 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 606.279 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 627.672 seconds. Range compression done, time = 763.211 Motion comp. coeff. calculated, time = 763.251 Motion comp. added to patch, time = 840.070 Doppler estimation done, time = 840.070 Azimuth compression starting, time : 840.205 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1221.286 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1235.743 seconds. Range compression done, time = 1372.187 Motion comp. coeff. calculated, time = 1372.678 Motion comp. added to patch, time = 1450.912 Doppler estimation done, time = 1450.912 Azimuth compression starting, time : 1451.042 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1834.432 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1854.607 seconds. Range compression done, time = 1990.932 Motion comp. coeff. calculated, time = 1991.120 Motion comp. added to patch, time = 2069.395 Doppler estimation done, time = 2069.395 Azimuth compression starting, time : 2069.529 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2455.700 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2475.811 seconds. Range compression done, time = 2612.297 Motion comp. coeff. calculated, time = 2612.441 Motion comp. added to patch, time = 2690.278 Doppler estimation done, time = 2690.278 Azimuth compression starting, time : 2690.397 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3076.665 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_p.vh Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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/cm5283_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) = 8451.15 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) = 449.7999 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data2/airops/p_vv Name of the mocomp data file? /data3/airops/cm5283_p.mocompv Output file name? /data3/airops/cm5283_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 = 2.802 Processing 5 blocks Processing block number 1 reference line: 4096 2.802 seconds. Range compression done, time = 115.039 Motion comp. coeff. calculated, time = 115.079 Motion comp. added to patch, time = 195.907 Doppler estimation done, time = 195.908 Azimuth compression starting, time : 196.023 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 580.289 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 601.693 seconds. Range compression done, time = 708.628 Motion comp. coeff. calculated, time = 708.726 Motion comp. added to patch, time = 786.055 Doppler estimation done, time = 786.055 Azimuth compression starting, time : 786.184 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1198.799 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1215.625 seconds. Range compression done, time = 1324.974 Motion comp. coeff. calculated, time = 1325.211 Motion comp. added to patch, time = 1411.829 Doppler estimation done, time = 1411.829 Azimuth compression starting, time : 1411.961 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1829.650 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1849.892 seconds. Range compression done, time = 1958.377 Motion comp. coeff. calculated, time = 1958.545 Motion comp. added to patch, time = 2036.529 Doppler estimation done, time = 2036.529 Azimuth compression starting, time : 2036.656 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2460.238 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2480.026 seconds. Range compression done, time = 2587.659 Motion comp. coeff. calculated, time = 2587.828 Motion comp. added to patch, time = 2665.044 Doppler estimation done, time = 2665.045 Azimuth compression starting, time : 2665.162 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3092.328 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5283_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/cm5283_p.vv Name of the doppler parameter file? /data3/airops/cm5283_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/cm5283_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 = 1058 1059 3155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3154 Processing block number 2 3155 4550 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4549 4550 6646 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6645 Processing block number 3 6646 8050 8 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8049 8050 10146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10145 Processing block number 4 10146 11559 17 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11558 11559 13655 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13654 Processing block number 5 1367 1089 7 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13654 1367 3185 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15472 Writing the last 3197 lines Total # of output lines = 18669 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: 1037 *************************************** ***** ***** ***** 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 94055 writing parheadP writing parhead 20.0 writing parhead 89.4 writing parhead 87.09999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01748 27.51267 writing newhead finished newhead finished parhead 1 901 1801 2701 3601 4501 5401 6301 7201 8101 9001 9901 10801 11701 12601 13501 14401 15301 16201 17101 18001 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .183 .099 .011 .199 .553 .344 .003 .067 .162 .152 .057 .023 .253 .710 .465 .024 .060 .165 .137 .029 .037 .302 .861 .621 .075 .036 .140 .135 .014 .048 .337 .968 .781 .154 .011 .101 .140 .008 .050 .344 1.000 .896 .234 .000 .062 .146 .008 .044 .319 .959 .935 .282 .004 .031 .147 .012 .033 .272 .862 .891 .279 .013 .012 .144 .019 .021 .217 .729 .789 .240 .019 .004 .139 .030 .013 .172 .598 .676 .194 .020 .001 r_peak,r_snr = .2020383 8.21329 Correlation Surface of oversamples image at 146 3046 .146 .308 .532 .757 .852 .697 .384 .131 .014 .150 .323 .568 .813 .915 .758 .430 .157 .023 .150 .330 .592 .855 .964 .805 .469 .182 .033 .146 .329 .603 .880 .995 .835 .495 .203 .045 .137 .317 .595 .882 1.000 .840 .505 .216 .055 .121 .292 .566 .855 .974 .817 .493 .216 .061 .101 .258 .521 .805 .923 .770 .463 .207 .064 .084 .225 .472 .748 .864 .714 .426 .194 .065 .067 .191 .419 .682 .794 .648 .379 .173 .061 146 .469 3046 -11.156 8.21329 .017951 1.594062 -.090286 Correlation Surface at 246 3046 .202 .436 .742 .903 .845 .881 .627 .303 .319 .088 .295 .692 .940 .899 .937 .660 .297 .294 .022 .191 .630 .945 .951 .958 .662 .302 .297 .002 .137 .582 .917 .989 .937 .634 .309 .319 .000 .135 .564 .859 1.000 .884 .588 .318 .352 .006 .192 .577 .774 .978 .817 .544 .329 .394 .042 .316 .608 .676 .925 .761 .522 .347 .439 .117 .478 .629 .578 .856 .739 .535 .381 .473 .197 .599 .610 .489 .786 .759 .588 .430 .494 r_peak,r_snr = .2205583 3.05114 Correlation Surface of oversamples image at 246 3046 .689 .785 .805 .858 .931 .892 .700 .478 .325 .667 .776 .820 .888 .954 .890 .686 .470 .327 .650 .770 .835 .918 .974 .885 .669 .460 .325 .639 .763 .850 .946 .991 .878 .654 .450 .321 .627 .751 .857 .966 1.000 .868 .640 .441 .317 .609 .726 .849 .969 .995 .851 .623 .430 .312 .594 .701 .835 .966 .987 .836 .612 .424 .308 .581 .677 .821 .961 .980 .829 .611 .426 .311 .560 .642 .793 .941 .964 .821 .613 .431 .316 246 -.656 3046 -2.250 3.05114 .103574 5.816785 -.163456 Correlation Surface at 346 3046 .000 .018 .072 .321 .549 .320 .072 .000 .000 .001 .030 .081 .365 .666 .410 .071 .003 .000 .006 .046 .101 .471 .813 .519 .090 .002 .000 .028 .078 .138 .610 .942 .626 .134 .000 .009 .077 .129 .193 .713 1.000 .709 .213 .014 .044 .135 .186 .251 .706 .960 .750 .320 .059 .113 .164 .223 .282 .562 .828 .752 .441 .140 .202 .144 .217 .262 .347 .642 .726 .545 .242 .289 .092 .172 .210 .162 .449 .685 .603 .325 .356 r_peak,r_snr = .1501855 5.12241 Correlation Surface of oversamples image at 346 3046 2.357 2.475 2.617 2.750 2.443 1.782 1.515 2.015 1.948 2.131 2.442 2.886 2.872 2.284 1.945 2.343 1.506 1.748 2.192 2.890 3.140 2.642 2.248 2.534 1.238 1.544 2.116 3.045 3.522 3.082 2.627 2.831 346 -8.063 3046 4.844 5.12241 .048930 1.632166 -.024800 Correlation Surface at 446 3046 .159 .134 .461 .960 .777 .354 .153 .214 .396 .180 .108 .402 .977 .845 .432 .256 .296 .396 .207 .077 .338 .970 .920 .518 .360 .364 .387 .241 .055 .289 .946 .982 .593 .431 .395 .370 .284 .053 .271 .912 1.000 .639 .457 .382 .341 .339 .080 .292 .864 .955 .646 .450 .336 .293 .409 .148 .351 .812 .859 .617 .429 .281 .235 .489 .265 .449 .770 .735 .560 .412 .241 .180 .560 .408 .570 .739 .602 .489 .402 .229 .144 r_peak,r_snr = .217692 3.43786 Correlation Surface of oversamples image at 446 3046 .186 .422 .713 .928 .962 .798 .572 .418 .318 .168 .400 .701 .936 .985 .818 .588 .446 .365 .140 .368 .679 .929 .990 .827 .602 .477 .417 .116 .342 .666 .930 1.000 .844 .629 .522 .483 .093 .318 .652 .923 .999 .855 .658 .571 .551 .071 .289 .623 .889 .969 .846 .678 .615 .611 .053 .260 .586 .840 .920 .826 .695 .660 .668 .043 .243 .559 .794 .870 .806 .717 .711 .727 446 2.375 3046 -10.750 3.43786 .046765 1.789724 -.156308 Correlation Surface at 546 3046 .037 .089 .310 .587 .634 .418 .187 .041 .000 .039 .092 .324 .660 .738 .517 .220 .039 .001 .036 .092 .327 .721 .852 .627 .246 .037 .001 .029 .084 .311 .749 .950 .727 .265 .036 .001 .020 .071 .277 .730 1.000 .782 .274 .038 .001 .012 .054 .229 .665 .980 .772 .271 .044 .000 .007 .038 .181 .578 .903 .702 .257 .053 .000 .005 .026 .139 .493 .801 .606 .242 .064 .000 .004 .018 .108 .427 .706 .521 .233 .079 .001 r_peak,r_snr = .3914432 8.5513 Correlation Surface of oversamples image at 546 3046 .523 .659 .788 .884 .921 .843 .654 .419 .197 .491 .623 .766 .892 .961 .888 .678 .419 .192 .451 .578 .735 .891 .986 .915 .685 .412 .186 .403 .527 .698 .881 .997 .925 .680 .400 .182 .355 .476 .662 .868 1.000 .925 .669 .389 .181 .309 .428 .626 .851 .993 .914 .652 .378 .182 .261 .379 .585 .825 .972 .888 .626 .363 .183 .216 .332 .544 .793 .942 .855 .598 .350 .184 .185 .302 .522 .781 .931 .841 .588 .352 .196 546 .094 3046 .750 8.55130 .009071 .281368 -.022930 Correlation Surface at 646 3046 .030 .141 .531 .942 .797 .420 .252 .191 .118 .032 .132 .510 .972 .870 .465 .248 .163 .114 .037 .127 .477 .972 .941 .538 .261 .141 .113 .047 .124 .442 .953 .994 .612 .280 .129 .115 .057 .125 .414 .915 1.000 .642 .290 .124 .119 .070 .133 .403 .885 .974 .622 .285 .124 .120 .083 .149 .416 .878 .940 .569 .265 .121 .113 .090 .166 .443 .891 .911 .509 .237 .113 .094 .089 .180 .468 .902 .884 .464 .213 .102 .068 r_peak,r_snr = .3619346 5.78822 Correlation Surface of oversamples image at 646 3046 .319 .546 .760 .874 .854 .720 .536 .375 .264 .305 .534 .765 .908 .909 .779 .586 .409 .280 .289 .517 .761 .929 .954 .832 .634 .444 .296 .272 .494 .746 .936 .985 .874 .675 .476 .311 .252 .466 .721 .929 1.000 .901 .705 .500 .323 .231 .434 .688 .909 .999 .913 .722 .517 .331 .211 .402 .652 .882 .986 .912 .727 .524 .335 .194 .374 .619 .854 .967 .902 .724 .525 .336 .180 .351 .590 .827 .946 .887 .715 .520 .334 646 .469 3046 -.750 5.78822 .013424 1.656791 -.075389 Correlation Surface at 746 3046 .031 .000 .010 .242 .780 .645 .303 .170 .132 .031 .000 .013 .279 .853 .676 .328 .172 .109 .028 .000 .015 .310 .937 .731 .346 .164 .082 .027 .000 .016 .321 .995 .799 .360 .149 .058 .032 .000 .018 .311 1.000 .868 .375 .131 .040 .044 .001 .024 .287 .951 .922 .391 .112 .026 .061 .008 .036 .262 .871 .950 .405 .092 .017 .080 .021 .056 .246 .783 .945 .407 .071 .009 .095 .040 .083 .243 .703 .907 .391 .050 .004 r_peak,r_snr = .3152456 8.11768 Correlation Surface of oversamples image at 746 3046 .006 .099 .366 .725 .898 .753 .500 .316 .206 .006 .101 .374 .752 .949 .803 .535 .335 .215 .007 .102 .376 .765 .983 .843 .564 .351 .222 .009 .104 .373 .763 .998 .867 .584 .361 .225 .012 .109 .369 .753 1.000 .884 .602 .373 .230 .016 .115 .363 .734 .987 .888 .613 .381 .232 .021 .119 .350 .697 .947 .867 .605 .374 .223 .029 .124 .333 .648 .888 .824 .580 .356 .206 .042 .139 .330 .617 .846 .798 .568 .348 .196 746 .594 3046 1.719 8.11768 .006475 .895111 -.044320 Correlation Surface at 946 3046 .288 .478 .781 .735 .595 .528 .557 .575 .581 .337 .537 .808 .797 .721 .626 .598 .594 .615 .409 .605 .826 .846 .851 .741 .639 .600 .636 .487 .665 .830 .875 .954 .846 .670 .596 .645 .546 .699 .823 .882 1.000 .914 .687 .588 .646 .567 .697 .809 .871 .981 .930 .691 .580 .642 .545 .662 .788 .845 .916 .898 .684 .575 .636 .497 .611 .764 .813 .840 .836 .669 .574 .623 r_peak,r_snr = .4253774 2.35252 Correlation Surface of oversamples image at 946 3046 .637 .669 .754 .845 .860 .791 .694 .627 .597 .656 .698 .793 .891 .911 .840 .732 .653 .613 .676 .725 .825 .928 .954 .884 .768 .677 .629 .695 .748 .850 .953 .985 .919 .800 .700 .646 .712 .767 .864 .964 1.000 .942 .823 .719 .662 .725 .779 .867 .960 .999 .950 .836 .731 .673 .734 .784 .861 .944 .984 .944 .837 .734 .679 .743 .787 .851 .921 .961 .929 .831 .733 .683 .747 .785 .835 .893 .930 .904 .814 .723 .681 946 2.469 3046 11.250 2.35252 .031450 .248305 -.035429 Correlation Surface at 1046 3046 .168 .232 .243 .481 .740 .588 .387 .190 .079 .175 .264 .302 .548 .789 .614 .367 .179 .088 .177 .290 .370 .640 .864 .638 .347 .161 .093 .174 .304 .431 .729 .946 .649 .323 .138 .088 .167 .303 .477 .786 1.000 .633 .290 .111 .071 .160 .289 .497 .789 .991 .584 .247 .080 .049 .155 .268 .493 .737 .908 .504 .202 .055 .028 .154 .249 .471 .653 .777 .410 .169 .039 .013 .155 .237 .443 .575 .647 .327 .154 .033 .006 r_peak,r_snr = .3051422 6.18695 Correlation Surface of oversamples image at 1046 3046 .335 .435 .620 .814 .894 .803 .595 .399 .261 .346 .453 .649 .854 .934 .829 .603 .396 .254 .348 .460 .668 .883 .967 .852 .611 .394 .250 .342 .456 .671 .900 .991 .869 .615 .393 .247 .325 .438 .658 .900 1.000 .873 .611 .387 .241 .301 .411 .632 .885 .995 .865 .600 .377 .233 .278 .382 .602 .861 .980 .852 .587 .368 .227 .256 .352 .565 .828 .953 .828 .570 .358 .220 .231 .319 .521 .779 .907 .787 .541 .340 .209 1046 -.031 3046 1.500 6.18695 .012726 .703008 .045786 Correlation Surface at 1146 3046 .014 .204 .289 .531 .716 .933 .813 .354 .142 .014 .201 .325 .618 .843 .934 .742 .278 .116 .020 .206 .396 .745 .940 .909 .660 .228 .121 .028 .206 .470 .886 .999 .886 .596 .210 .150 .033 .191 .504 .979 1.000 .874 .568 .219 .185 .033 .163 .473 .986 .956 .878 .577 .242 .195 .027 .134 .389 .917 .895 .894 .624 .259 .162 .020 .112 .292 .804 .825 .898 .697 .250 .100 .015 .100 .216 .676 .746 .872 .785 .216 .041 r_peak,r_snr = .1725702 5.33022 Correlation Surface of oversamples image at 1146 3046 .316 .248 .311 .512 .739 .275 .241 .344 .592 .831 .243 .241 .387 .679 .916 .221 .249 .437 .762 .976 .211 .265 .492 .833 1.000 .214 .293 .551 .885 .986 .229 .330 .608 .907 .927 .250 .371 .652 .889 .821 .279 .415 .683 .836 .685 1146 1.688 3046 1.750 5.33022 .908067 7.333069 1.716713 Correlation Surface at 1246 3046 .000 .000 .247 .564 .653 .532 .303 .353 .213 .000 .002 .278 .631 .745 .540 .315 .410 .266 .001 .009 .315 .720 .849 .545 .311 .424 .307 .005 .021 .350 .828 .944 .543 .294 .396 .328 .013 .035 .372 .933 1.000 .535 .275 .344 .333 .028 .047 .376 .998 .988 .518 .267 .297 .337 .051 .052 .360 .990 .909 .504 .281 .276 .353 .083 .056 .327 .907 .809 .514 .328 .296 .386 .122 .063 .286 .781 .728 .556 .412 .361 .432 r_peak,r_snr = .2165656 3.50699 Correlation Surface of oversamples image at 1246 3046 .005 .084 .318 .657 .909 .937 .771 .540 .327 .007 .083 .321 .682 .952 .961 .764 .519 .309 .009 .083 .321 .699 .980 .969 .743 .491 .289 .013 .086 .324 .714 .999 .966 .718 .463 .273 .021 .092 .329 .721 1.000 .946 .685 .436 .262 .029 .098 .327 .707 .967 .897 .637 .404 .251 .039 .102 .315 .670 .901 .822 .578 .369 .242 .056 .114 .314 .641 .842 .761 .540 .357 .251 1246 .188 3046 2.750 3.50699 .037980 1.597051 .154151 Correlation Surface at 1346 3046 .001 .003 .180 .962 .908 .281 .226 .043 .001 .000 .002 .190 .952 .942 .415 .355 .082 .009 .002 .001 .180 .844 .964 .591 .477 .116 .011 .004 .001 .152 .686 .988 .776 .544 .123 .003 .005 .001 .120 .540 1.000 .906 .528 .095 .001 .005 .001 .095 .446 .966 .925 .456 .051 .023 .004 .002 .089 .403 .855 .825 .363 .018 .060 .002 .004 .099 .391 .675 .650 .276 .004 .084 r_peak,r_snr = .1361335 6.28403 Correlation Surface of oversamples image at 1346 3046 .021 .053 .210 .554 .891 .956 .755 .469 .248 .022 .062 .241 .613 .946 .976 .763 .498 .296 .026 .078 .281 .670 .988 .987 .772 .536 .358 .032 .099 .324 .713 1.000 .971 .768 .572 .426 .037 .122 .362 .734 .982 .936 .757 .607 .498 .041 .144 .388 .729 .942 .894 .748 .642 .567 .044 .161 .400 .701 .884 .850 .742 .674 .629 .044 .171 .396 .655 .812 .803 .737 .702 .678 1346 -.781 3046 8.219 6.28403 1.517226 36.530045 -7.300438 Correlation Surface at 1446 3046 .240 .051 .023 .243 .476 .115 .034 .256 .327 .231 .029 .013 .290 .647 .220 .052 .240 .235 .207 .014 .008 .317 .834 .372 .079 .206 .162 .168 .007 .006 .316 .972 .519 .112 .172 .124 .121 .006 .009 .286 1.000 .608 .147 .150 .121 .077 .009 .015 .235 .905 .618 .180 .145 .143 .050 .018 .024 .171 .729 .557 .203 .162 .181 .040 .031 .030 .107 .525 .461 .213 .196 .215 .045 .047 .031 .060 .355 .373 .213 .239 .229 r_peak,r_snr = .179602 8.1982 Correlation Surface of oversamples image at 1446 3046 .051 .206 .478 .817 .843 .460 .156 .076 .090 .045 .187 .469 .857 .920 .519 .182 .082 .084 .039 .167 .453 .880 .974 .564 .203 .088 .079 .034 .146 .430 .881 .998 .590 .217 .092 .076 .030 .129 .405 .867 1.000 .603 .230 .098 .077 .027 .114 .378 .835 .976 .600 .239 .105 .082 .023 .095 .338 .772 .913 .570 .235 .107 .085 .017 .073 .289 .687 .821 .519 .220 .105 .087 .015 .062 .259 .623 .751 .486 .220 .115 .101 1446 .344 3046 .969 8.19820 .010957 .723061 -.040799 Correlation Surface at 1546 3046 .336 .348 .402 .714 .932 .609 .391 .312 .267 .330 .313 .406 .732 .965 .633 .396 .316 .282 .333 .286 .424 .751 .989 .671 .425 .335 .297 .337 .268 .443 .765 1.000 .711 .462 .360 .310 .338 .259 .454 .768 .991 .738 .492 .384 .320 .329 .262 .456 .759 .959 .737 .505 .407 .329 .307 .275 .452 .737 .904 .701 .494 .429 .340 .276 .294 .448 .704 .832 .639 .459 .451 .358 r_peak,r_snr = .3503601 2.73906 Correlation Surface of oversamples image at 1546 3046 .388 .481 .703 .942 .998 .848 .653 .527 .480 .380 .483 .711 .950 1.000 .845 .642 .506 .450 .380 .490 .721 .956 1.000 .844 .637 .493 .432 .381 .498 .726 .950 .991 .838 .630 .482 .419 .384 .506 .725 .936 .974 .828 .623 .474 .411 .387 .512 .718 .911 .949 .813 .616 .469 .408 .391 .517 .708 .883 .921 .799 .612 .470 .413 1546 -1.156 3046 -14.781 2.73906 .011697 4.214056 -.116621 Correlation Surface at 1646 3046 .379 .335 .510 .858 .860 .750 .609 .298 .122 .433 .311 .464 .865 .933 .763 .586 .286 .107 .515 .317 .435 .842 .979 .765 .544 .275 .097 .614 .351 .425 .804 .998 .759 .504 .271 .093 .709 .408 .434 .766 1.000 .753 .485 .277 .093 .767 .475 .459 .734 .990 .751 .486 .291 .100 .759 .536 .499 .706 .976 .755 .507 .315 .117 .690 .583 .544 .674 .961 .767 .542 .354 .149 .594 .609 .581 .628 .941 .788 .591 .402 .196 r_peak,r_snr = .2837643 2.71664 Correlation Surface of oversamples image at 1646 3046 .381 .524 .689 .861 .934 .813 .614 .464 .341 .354 .490 .668 .867 .961 .842 .626 .461 .334 .332 .459 .644 .866 .982 .865 .636 .457 .327 .317 .431 .619 .861 .996 .885 .645 .454 .320 .306 .403 .588 .845 1.000 .899 .653 .452 .313 .300 .378 .556 .823 .997 .908 .661 .451 .306 .297 .356 .527 .802 .993 .917 .671 .454 .301 .294 .334 .498 .781 .988 .925 .681 .459 .299 .293 .315 .473 .764 .985 .934 .697 .474 .306 1646 .563 3046 -9.219 2.71664 .049482 26.772276 -.938632 Correlation Surface at 1746 3046 .011 .409 .342 .080 .217 .118 .001 .043 .144 .001 .365 .327 .139 .390 .236 .002 .050 .113 .000 .347 .306 .225 .631 .411 .024 .063 .097 .003 .355 .294 .328 .865 .599 .074 .074 .087 .020 .379 .293 .433 1.000 .737 .137 .072 .081 .054 .415 .314 .512 .976 .785 .182 .054 .074 .097 .446 .352 .533 .822 .743 .191 .032 .065 .124 .448 .392 .486 .620 .647 .178 .016 .056 .120 .411 .409 .392 .445 .540 .161 .008 .046 r_peak,r_snr = .1607293 4.23767 Correlation Surface of oversamples image at 1746 3046 .104 .155 .334 .564 .640 .470 .185 .024 .003 .090 .158 .372 .651 .769 .596 .258 .044 .007 .081 .163 .406 .723 .880 .716 .337 .071 .015 .076 .170 .431 .771 .960 .814 .411 .105 .028 .072 .173 .439 .786 1.000 .879 .470 .139 .043 .069 .172 .429 .767 .997 .907 .510 .168 .060 .073 .174 .412 .727 .963 .906 .536 .197 .079 .081 .175 .385 .670 .902 .874 .543 .219 .096 .084 .163 .337 .584 .803 .800 .517 .223 .102 1746 -6.375 3046 -7.188 4.23767 .019697 .522341 .009531 Correlation Surface at 1946 3046 .174 .251 .384 .645 .827 .720 .468 .275 .193 .155 .222 .374 .676 .890 .764 .460 .254 .190 .144 .203 .377 .710 .945 .807 .454 .240 .191 .142 .193 .389 .738 .984 .844 .453 .238 .197 .146 .191 .403 .752 1.000 .864 .461 .251 .208 .155 .196 .415 .754 .991 .859 .477 .278 .225 .164 .206 .423 .750 .960 .832 .495 .312 .245 .169 .220 .430 .749 .921 .795 .509 .345 .262 .167 .232 .441 .753 .886 .761 .514 .366 .273 r_peak,r_snr = .556059 4.37412 Correlation Surface of oversamples image at 1946 3046 .430 .574 .728 .869 .960 .943 .811 .624 .443 .437 .587 .742 .883 .977 .961 .826 .632 .447 .446 .601 .756 .895 .990 .976 .840 .643 .456 .454 .613 .767 .905 .998 .986 .851 .654 .467 .461 .623 .776 .910 1.000 .988 .857 .664 .479 .469 .633 .783 .913 .998 .985 .859 .673 .493 .477 .643 .791 .916 .996 .980 .859 .682 .507 .485 .652 .799 .919 .990 .970 .856 .688 .520 .492 .659 .804 .918 .980 .956 .846 .688 .529 1946 .219 3046 3.313 4.37412 .003814 .505369 .000880 Correlation Surface at 2046 3046 .385 .590 .667 .926 .987 .859 .874 .879 .735 .373 .582 .670 .904 1.000 .924 .943 .868 .742 .362 .576 .667 .860 .983 .952 .972 .822 .743 .363 .584 .667 .819 .959 .955 .956 .741 .732 .379 .611 .681 .789 .944 .955 .909 .643 .706 .399 .640 .712 .773 .944 .965 .846 .541 .670 r_peak,r_snr = .3474183 1.76562 Correlation Surface of oversamples image at 2046 3046 .823 .829 .839 .891 .936 .882 .751 .843 .854 .874 .931 .964 .888 .743 .857 .871 .900 .961 .984 .887 .733 .865 .880 .916 .983 .995 .882 .724 .868 .881 .923 .995 1.000 .876 .717 .867 .875 .921 .996 .994 .861 .706 .860 .862 .907 .981 .971 .834 .686 .852 .847 .889 .957 .936 .797 .662 .855 .843 .878 .933 .900 .760 .642 2046 .531 3046 -14.781 1.76562 .381028 4.588783 -1.206860 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .068 .156 .243 .602 .727 .334 .099 .040 .001 .072 .160 .306 .700 .807 .332 .068 .023 .008 .070 .139 .339 .775 .891 .320 .040 .010 .016 .061 .106 .338 .822 .962 .306 .022 .004 .016 .050 .080 .319 .840 1.000 .296 .014 .004 .007 .044 .072 .302 .842 .994 .297 .014 .009 .000 .047 .087 .299 .844 .951 .307 .022 .022 .006 .062 .123 .313 .852 .889 .318 .038 .040 .024 .086 .168 .336 .858 .824 .318 .056 .050 .039 r_peak,r_snr = .2353743 7.11181 Correlation Surface of oversamples image at 146 3446 .108 .218 .419 .712 .944 .894 .610 .320 .134 .092 .199 .400 .706 .962 .923 .629 .322 .125 .078 .184 .387 .704 .980 .950 .647 .325 .119 .068 .174 .379 .705 .994 .970 .661 .328 .115 .061 .167 .374 .705 1.000 .978 .666 .328 .112 .059 .164 .374 .705 .997 .971 .661 .326 .109 .064 .171 .383 .712 .995 .962 .657 .327 .111 .073 .183 .397 .721 .990 .949 .652 .328 .114 .083 .193 .403 .716 .963 .914 .630 .320 .112 146 .719 3446 6.500 7.11181 .007612 2.710181 .025636 Correlation Surface at 246 3446 .282 .249 .239 .406 .562 .624 .308 .180 .335 .333 .287 .280 .469 .668 .719 .356 .169 .286 .361 .340 .361 .569 .804 .817 .411 .154 .222 .359 .402 .471 .685 .934 .890 .458 .144 .166 .335 .459 .591 .787 1.000 .895 .475 .143 .131 .298 .496 .697 .853 .976 .811 .461 .156 .115 .259 .510 .779 .881 .889 .673 .432 .184 .118 .228 .510 .835 .880 .774 .533 .406 .221 .134 .206 .503 .865 .860 .659 .423 .390 .261 .154 r_peak,r_snr = .2960481 4.0503 Correlation Surface of oversamples image at 246 3446 .445 .497 .599 .744 .844 .780 .548 .300 .144 .482 .540 .656 .811 .904 .825 .578 .317 .150 .520 .586 .713 .872 .955 .859 .599 .331 .156 .558 .634 .768 .922 .990 .876 .608 .340 .163 .590 .676 .812 .954 1.000 .871 .602 .344 .171 .615 .711 .845 .968 .988 .845 .585 .345 .180 .633 .739 .866 .965 .957 .802 .558 .343 .192 .645 .758 .874 .945 .908 .745 .524 .339 .205 .654 .770 .873 .916 .851 .684 .491 .340 .224 246 2.375 3446 -10.250 4.05030 .062840 .515773 .128838 Correlation Surface at 346 3446 .158 .229 .219 .290 .596 .689 .370 .096 .081 .157 .248 .250 .379 .740 .734 .332 .063 .072 .154 .263 .288 .481 .879 .748 .285 .044 .077 .150 .270 .323 .572 .973 .734 .245 .038 .102 .144 .262 .336 .620 1.000 .711 .225 .046 .148 .137 .235 .317 .614 .970 .696 .231 .070 .214 .131 .192 .274 .565 .910 .695 .266 .113 .288 r_peak,r_snr = .3012167 6.37924 Correlation Surface of oversamples image at 346 3446 .447 .515 .637 .774 .863 .841 .683 .443 .213 .459 .551 .697 .841 .916 .870 .686 .430 .194 .468 .580 .747 .898 .964 .896 .692 .421 .182 .470 .596 .778 .936 .995 .914 .694 .415 .174 .458 .590 .779 .942 1.000 .913 .687 .405 .167 .436 .568 .756 .923 .985 .901 .677 .398 .164 .416 .544 .728 .896 .965 .891 .676 .402 .171 .394 .515 .688 .856 .936 .878 .676 .411 .183 .359 .468 .627 .793 .883 .845 .665 .416 .195 346 -.031 3446 12.313 6.37924 .009034 .857621 .031284 Correlation Surface at 446 3446 .571 .662 .812 .829 .828 .792 .720 .702 .640 .576 .657 .764 .807 .890 .869 .733 .673 .631 .588 .655 .716 .785 .949 .935 .731 .649 .629 .595 .652 .673 .762 .989 .977 .720 .639 .636 .592 .645 .639 .739 1.000 .986 .711 .646 .650 .577 .634 .618 .722 .982 .965 .704 .664 .664 .553 .621 .612 .713 .943 .926 .704 .684 .668 .529 .608 .621 .714 .895 .878 .712 .696 .653 .512 .600 .645 .727 .850 .834 .726 .694 .618 r_peak,r_snr = .5708555 1.86174 Correlation Surface of oversamples image at 446 3446 .741 .787 .866 .932 .941 .870 .756 .664 .626 .725 .777 .870 .951 .968 .890 .761 .658 .614 .712 .769 .871 .966 .988 .904 .764 .653 .607 .701 .761 .870 .974 1.000 .911 .763 .649 .603 .691 .752 .864 .973 1.000 .908 .758 .646 .603 .682 .743 .854 .963 .990 .897 .752 .645 .606 .676 .734 .841 .948 .974 .884 .746 .648 .614 .672 .726 .827 .928 .952 .867 .741 .654 .625 .668 .716 .808 .901 .922 .845 .734 .659 .634 446 .375 3446 -9.750 1.86174 .006055 .357803 -.011538 Correlation Surface at 546 3446 .251 .198 .291 .492 .756 .630 .395 .325 .299 .278 .229 .330 .568 .843 .715 .434 .351 .313 .299 .263 .381 .656 .928 .796 .474 .373 .312 .306 .290 .426 .730 .987 .853 .508 .386 .297 .296 .300 .451 .765 1.000 .874 .536 .391 .275 .274 .295 .451 .748 .960 .857 .556 .393 .260 .247 .283 .432 .690 .879 .816 .574 .400 .255 .221 .270 .403 .610 .779 .765 .592 .413 .262 r_peak,r_snr = .4258449 3.63454 Correlation Surface of oversamples image at 546 3446 .188 .299 .462 .679 .863 .838 .596 .346 .208 .212 .335 .508 .730 .912 .882 .633 .372 .225 .236 .373 .553 .775 .954 .919 .666 .400 .244 .261 .409 .593 .812 .984 .947 .695 .427 .265 .284 .442 .626 .837 1.000 .963 .718 .454 .288 .303 .467 .647 .845 .998 .965 .734 .479 .312 .317 .483 .654 .837 .980 .954 .743 .503 .338 .328 .491 .649 .815 .948 .934 .749 .527 .367 .333 .490 .633 .781 .905 .905 .749 .551 .399 546 .188 3446 11.219 3.63454 .009611 .338744 .004000 Correlation Surface at 746 3446 .202 .612 .370 .000 .366 .444 .159 .004 .139 .223 .612 .345 .008 .526 .598 .199 .003 .150 .212 .548 .270 .037 .732 .765 .224 .006 .134 .181 .452 .177 .083 .919 .880 .235 .017 .095 .147 .355 .100 .122 1.000 .903 .240 .047 .050 .123 .269 .054 .129 .932 .825 .248 .098 .017 .111 .199 .034 .102 .753 .675 .256 .154 .003 .107 .153 .031 .061 .536 .502 .251 .184 .000 .113 .128 .037 .027 .344 .348 .221 .175 .000 r_peak,r_snr = .1720706 7.14753 Correlation Surface of oversamples image at 746 3446 .237 .025 .054 .349 .675 .754 .593 .367 .183 .163 .005 .099 .453 .810 .862 .639 .372 .180 .104 .000 .146 .540 .917 .939 .661 .363 .172 .063 .004 .182 .597 .982 .978 .657 .344 .163 .037 .011 .203 .619 1.000 .974 .629 .316 .151 .023 .016 .202 .601 .965 .925 .577 .279 .135 .016 .016 .183 .548 .887 .844 .513 .243 .123 .014 .012 .151 .471 .780 .745 .447 .212 .115 .018 .005 .109 .375 .646 .624 .372 .177 .102 746 -.781 3446 6.344 7.14753 .009939 .528624 .020980 Correlation Surface at 846 3446 .253 .034 .676 .664 .254 .047 .104 .002 .069 .361 .036 .632 .820 .445 .043 .130 .013 .084 .457 .020 .439 .943 .709 .028 .153 .031 .106 .499 .002 .203 .975 .938 .011 .169 .052 .144 .461 .007 .045 .873 1.000 .002 .181 .062 .182 .367 .052 .000 .653 .856 .000 .187 .040 .183 .274 .139 .022 .408 .590 .003 .181 .005 .119 .225 .249 .047 .229 .349 .006 .174 .015 .031 .244 .364 .040 .147 .210 .011 .174 .125 .002 r_peak,r_snr = .1046518 3.88825 Correlation Surface of oversamples image at 846 3446 .064 .055 .483 .897 1.000 .846 .505 .176 .015 .077 .051 .468 .868 1.000 .902 .587 .232 .028 .084 .048 .437 .807 .970 .948 .679 .304 .047 .089 .041 .377 .707 .911 .985 .783 .394 .076 .094 .029 .296 .575 .818 .996 .875 .484 .108 .096 .017 .209 .430 .695 .963 .928 .550 .131 846 -.594 3446 -9.781 3.88825 .016057 .923750 -.067997 Correlation Surface at 1046 3446 .392 .476 .562 .657 .602 .469 .211 .052 .017 .555 .545 .550 .623 .708 .541 .231 .034 .001 .715 .566 .526 .622 .842 .576 .211 .014 .002 .835 .550 .509 .652 .958 .551 .159 .002 .006 .883 .516 .510 .696 1.000 .473 .105 .000 .005 .849 .484 .529 .731 .941 .368 .074 .000 .000 .750 .468 .554 .732 .793 .275 .075 .012 .003 .611 .468 .568 .678 .598 .213 .120 .067 .019 .469 .477 .561 .576 .411 .188 .230 .188 .046 r_peak,r_snr = .1941938 4.88854 Correlation Surface of oversamples image at 1046 3446 .620 .738 .875 .944 .882 .713 .521 .366 .239 .586 .701 .856 .960 .931 .767 .553 .373 .232 .544 .661 .834 .968 .965 .802 .563 .356 .208 .501 .626 .815 .972 .987 .818 .551 .324 .175 .468 .605 .808 .980 1.000 .818 .528 .288 .146 .443 .592 .806 .981 .995 .796 .490 .252 .121 .419 .579 .794 .961 .958 .742 .435 .211 .099 .400 .567 .777 .925 .895 .665 .372 .175 .084 .398 .570 .768 .891 .830 .587 .319 .154 .082 1046 1.813 3446 -5.219 4.88854 .024371 .997119 .104774 Correlation Surface at 1146 3446 .240 .164 .183 .428 .614 .587 .259 .027 .002 .147 .121 .156 .503 .724 .586 .164 .001 .004 .073 .108 .178 .603 .854 .592 .114 .001 .017 .034 .112 .246 .721 .959 .593 .103 .002 .030 .020 .116 .334 .834 1.000 .587 .123 .000 .036 .021 .106 .382 .887 .952 .567 .162 .010 .040 .033 .075 .350 .831 .808 .517 .194 .032 .045 .053 .039 .254 .681 .615 .436 .193 .045 .052 .067 .017 .155 .498 .433 .337 .154 .036 .058 r_peak,r_snr = .140889 6.71027 Correlation Surface of oversamples image at 1146 3446 1.779 2.831 3.517 3.997 4.000 2.943 1.219 .293 .045 1.695 2.728 3.364 3.817 3.760 2.662 .961 .135 .000 1.572 2.545 3.129 3.551 3.434 2.316 .699 .030 .047 1.385 2.263 2.815 3.229 3.084 1.982 .489 .000 .182 1.164 1.931 2.452 2.856 2.690 1.637 .312 .032 .394 1146 -.250 3446 1.188 6.71027 .077446 2.591084 .250942 Correlation Surface at 1246 3446 .096 .002 .004 .015 .238 .296 .062 .077 .189 .092 .001 .007 .064 .456 .418 .060 .067 .238 .077 .000 .017 .171 .709 .506 .047 .044 .238 .052 .002 .028 .305 .915 .538 .030 .020 .193 .023 .003 .024 .388 1.000 .505 .014 .005 .131 .003 .001 .007 .379 .942 .407 .003 .000 .085 .002 .001 .000 .306 .785 .270 .001 .001 .064 .020 .008 .009 .230 .611 .139 .014 .001 .067 .049 .017 .013 .190 .475 .051 .046 .001 .087 r_peak,r_snr = .1612062 10.43145 Correlation Surface of oversamples image at 1246 3446 .009 .048 .197 .459 .674 .673 .434 .123 .002 .013 .072 .268 .578 .791 .730 .438 .114 .000 .019 .101 .343 .689 .889 .762 .425 .101 .000 .025 .132 .414 .782 .960 .772 .401 .087 .001 .028 .159 .471 .849 1.000 .761 .369 .072 .003 .027 .172 .503 .877 .999 .723 .326 .056 .005 .020 .172 .511 .870 .966 .668 .279 .039 .009 .015 .170 .514 .854 .924 .618 .241 .028 .011 .008 .163 .509 .825 .870 .566 .206 .018 .013 1246 -.094 3446 -2.688 10.43145 .014237 .701159 .045838 Correlation Surface at 1346 3446 .072 .083 .212 .486 .497 .287 .065 .106 .274 .521 .574 .397 .068 .144 .320 .538 .716 .572 .082 .184 .324 .519 .880 .759 .106 .210 .280 .459 1.000 .856 .139 .214 .200 .363 .994 .785 .184 .203 .110 .253 .838 .580 .243 .196 .043 .151 .595 .353 .314 .204 .008 .072 .357 .193 r_peak,r_snr = .1384639 4.45245 Correlation Surface of oversamples image at 1346 3446 .210 .329 .465 .579 .630 .624 .623 .658 .639 .207 .349 .536 .704 .775 .747 .699 .681 .635 .204 .369 .606 .824 .904 .843 .745 .681 .617 .196 .379 .658 .913 .988 .890 .752 .659 .591 .178 .368 .670 .941 1.000 .870 .709 .609 .553 .155 .341 .645 .910 .944 .792 .631 .545 .514 .136 .314 .605 .845 .851 .691 .548 .492 .497 .119 .285 .546 .747 .728 .577 .465 .449 .495 .096 .240 .455 .606 .571 .446 .373 .399 .488 1346 13.875 3446 3.375 4.45245 .049136 1.291678 -.123536 Correlation Surface at 1446 3446 .428 .326 .519 .625 .582 .605 .443 .332 .399 .335 .554 .710 .736 .748 .506 .342 .368 .344 .579 .796 .878 .854 .544 .340 .344 .351 .596 .869 .976 .894 .535 .318 .335 .362 .611 .918 1.000 .857 .474 .274 .349 .386 .633 .937 .947 .757 .382 .221 .390 .432 .676 .930 .841 .632 .296 .176 .459 .515 .749 .912 .727 .527 .240 .150 .542 .630 .840 .896 .638 .466 .219 .145 r_peak,r_snr = .279476 1.86756 Correlation Surface of oversamples image at 1446 3446 1.174 1.015 1.254 2.042 3.156 3.789 3.472 2.741 2.256 1.354 1.204 1.474 2.303 3.381 3.853 3.388 2.609 2.117 1.556 1.423 1.720 2.564 3.554 3.823 3.214 2.419 1.955 1.847 1.736 2.060 2.902 3.768 3.811 3.065 2.277 1.863 1446 9.688 3446 6.813 1.86756 .143457 .848357 .253498 Correlation Surface at 1546 3446 .097 .102 .347 .773 .827 .532 .403 .469 .290 .105 .095 .339 .827 .863 .521 .379 .452 .290 .125 .101 .337 .869 .909 .525 .357 .434 .301 .153 .116 .339 .894 .962 .544 .337 .416 .323 .177 .135 .346 .903 1.000 .563 .321 .393 .346 .187 .150 .357 .894 .995 .565 .307 .362 .357 .177 .156 .371 .867 .933 .540 .294 .326 .343 .156 .157 .390 .835 .833 .498 .284 .292 .303 .135 .157 .411 .803 .728 .459 .278 .261 .247 r_peak,r_snr = .2868122 4.73576 Correlation Surface of oversamples image at 1546 3446 .124 .315 .594 .837 .929 .846 .639 .407 .268 .118 .312 .606 .867 .961 .866 .643 .399 .254 .118 .312 .615 .888 .985 .882 .649 .398 .247 .120 .312 .618 .899 .997 .892 .655 .400 .243 .123 .311 .615 .898 1.000 .897 .659 .403 .239 .127 .308 .607 .888 .994 .896 .661 .404 .234 .132 .306 .596 .872 .982 .891 .662 .406 .232 .139 .305 .584 .853 .965 .883 .660 .406 .231 .143 .300 .568 .827 .941 .866 .650 .401 .226 1546 -.531 3446 .219 4.73576 .012745 1.611596 -.020985 Correlation Surface at 1646 3446 .081 .251 .413 .570 .760 .680 .656 .479 .335 .117 .308 .452 .624 .834 .740 .652 .447 .307 .180 .391 .492 .676 .918 .804 .644 .435 .308 .260 .480 .522 .701 .984 .849 .639 .454 .336 .334 .546 .533 .685 1.000 .857 .635 .502 .375 .377 .569 .523 .632 .952 .821 .625 .560 .405 .381 .547 .500 .569 .862 .751 .602 .600 .405 .358 .503 .476 .518 .760 .667 .564 .597 .372 .335 .465 .469 .489 .669 .586 .505 .546 .323 r_peak,r_snr = .2617332 3.3852 Correlation Surface of oversamples image at 1646 3446 .831 .778 .774 .788 .731 .636 .832 .785 .799 .843 .806 .705 .827 .788 .827 .905 .887 .776 .812 .784 .852 .965 .961 .836 .770 .756 .853 .995 1.000 .861 .705 .703 .822 .985 .993 .843 .667 .672 .808 .983 .989 .831 1646 -.219 3446 4.750 3.38520 .022510 .997972 -.030144 Correlation Surface at 1746 3446 .076 .054 .028 .543 .501 .271 .322 .281 .022 .052 .028 .026 .634 .663 .353 .347 .261 .012 .024 .007 .033 .710 .824 .445 .359 .251 .007 .005 .000 .059 .754 .946 .533 .352 .251 .006 .000 .012 .106 .754 1.000 .606 .329 .255 .011 .004 .028 .165 .716 .989 .668 .304 .256 .022 .004 .033 .215 .661 .952 .720 .290 .244 .034 .001 .024 .239 .621 .928 .754 .287 .216 .040 .001 .014 .246 .613 .923 .754 .291 .173 .036 r_peak,r_snr = .2062298 6.23564 Correlation Surface of oversamples image at 1746 3446 .027 .151 .433 .726 .800 .652 .454 .319 .226 .033 .165 .465 .785 .880 .717 .480 .312 .205 .043 .183 .491 .828 .939 .767 .497 .300 .183 .058 .206 .515 .857 .980 .805 .512 .290 .167 .077 .230 .532 .868 1.000 .830 .524 .283 .156 .099 .251 .536 .858 .995 .839 .531 .278 .150 .121 .267 .529 .831 .973 .837 .537 .278 .150 .143 .280 .517 .798 .944 .833 .551 .292 .161 .161 .288 .501 .762 .911 .824 .566 .314 .181 1746 -.031 3446 .219 6.23564 .033759 1.973804 -.166245 Correlation Surface at 1846 3446 .058 .013 .018 .287 .611 .405 .117 .016 .009 .054 .011 .021 .364 .725 .473 .160 .031 .010 .052 .012 .029 .465 .851 .527 .202 .054 .017 .053 .014 .044 .565 .956 .549 .224 .080 .029 .056 .018 .063 .631 1.000 .532 .222 .100 .043 .059 .024 .079 .637 .963 .484 .205 .112 .054 .063 .031 .087 .584 .861 .425 .184 .116 .059 .065 .038 .087 .490 .729 .373 .169 .113 .062 .064 .044 .083 .391 .600 .337 .161 .104 .062 r_peak,r_snr = .3034191 7.86108 Correlation Surface of oversamples image at 1846 3446 .000 .073 .331 .650 .851 .854 .650 .380 .204 .001 .093 .382 .717 .915 .899 .673 .396 .221 .002 .112 .428 .775 .964 .925 .681 .404 .233 .004 .131 .466 .818 .994 .931 .676 .405 .242 .007 .145 .490 .840 1.000 .916 .657 .398 .247 .009 .153 .497 .838 .980 .880 .625 .384 .244 .011 .155 .489 .817 .943 .833 .587 .366 .239 .014 .155 .476 .792 .907 .791 .556 .354 .238 .017 .153 .455 .758 .868 .753 .532 .346 .240 1846 .094 3446 -.250 7.86108 .006387 .444491 .023205 Correlation Surface at 1946 3446 .171 .293 .440 .723 .817 .722 .467 .274 .165 .175 .312 .441 .706 .881 .831 .509 .270 .164 .193 .339 .451 .684 .937 .924 .545 .261 .162 .218 .367 .461 .661 .983 .966 .558 .250 .157 .239 .391 .466 .634 1.000 .939 .542 .245 .150 .250 .411 .467 .603 .970 .851 .506 .247 .144 .247 .425 .467 .566 .893 .739 .469 .259 .144 .230 .433 .465 .525 .795 .651 .449 .280 .149 .207 .433 .461 .487 .705 .617 .461 .311 .161 r_peak,r_snr = .336349 3.33791 Correlation Surface of oversamples image at 1946 3446 .477 .645 .804 .869 .865 .784 .620 .451 .342 .472 .641 .811 .898 .913 .833 .653 .464 .341 .465 .635 .815 .921 .952 .873 .680 .476 .341 .459 .628 .819 .942 .983 .903 .703 .490 .345 .450 .617 .817 .954 1.000 .920 .718 .503 .353 .435 .597 .802 .948 .997 .918 .723 .512 .362 .415 .567 .773 .926 .977 .903 .720 .520 .373 .397 .536 .737 .894 .950 .886 .719 .532 .392 .378 .501 .692 .849 .915 .866 .718 .547 .416 1946 -.531 3446 -4.813 3.33791 .013460 .897028 .025486 Correlation Surface at 2046 3446 .114 .175 .167 .221 .390 .411 .297 .186 .108 .102 .162 .188 .334 .576 .543 .398 .306 .167 .088 .142 .218 .493 .775 .626 .483 .428 .215 .077 .126 .246 .662 .929 .631 .510 .508 .240 .074 .116 .266 .786 1.000 .575 .465 .518 .239 .078 .112 .267 .822 .987 .503 .375 .460 .217 .086 .107 .239 .764 .922 .449 .280 .363 .181 .096 .098 .183 .645 .849 .428 .213 .263 .139 .099 .079 .118 .517 .797 .441 .183 .183 .099 r_peak,r_snr = .2485449 7.96003 Correlation Surface of oversamples image at 2046 3446 .071 .172 .376 .639 .808 .827 .717 .534 .374 .080 .200 .439 .729 .900 .909 .778 .575 .412 .091 .229 .496 .800 .960 .955 .808 .594 .435 .103 .256 .546 .850 .990 .968 .810 .594 .445 .118 .285 .591 .884 1.000 .961 .795 .580 .443 .133 .311 .622 .898 .988 .934 .761 .550 .425 .143 .324 .630 .882 .950 .883 .707 .501 .390 .146 .325 .619 .848 .900 .824 .645 .444 .345 .148 .322 .602 .814 .858 .777 .592 .393 .304 2046 .156 3446 3.219 7.96003 .029168 .862068 .118529 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .145 .027 .119 .492 .638 .416 .050 .023 .069 .142 .028 .138 .633 .747 .421 .045 .008 .034 .138 .018 .183 .804 .860 .418 .043 .002 .022 .128 .009 .223 .929 .955 .413 .043 .000 .027 .114 .004 .223 .945 1.000 .405 .046 .000 .049 .103 .003 .174 .849 .960 .390 .053 .002 .089 .099 .005 .108 .685 .823 .368 .062 .007 .138 .099 .011 .056 .498 .622 .334 .065 .021 .184 .106 .020 .029 .344 .430 .294 .059 .045 .221 r_peak,r_snr = .1893153 7.37844 Correlation Surface of oversamples image at 146 3846 .028 .183 .425 .688 .806 .704 .495 .284 .109 .032 .205 .481 .772 .883 .751 .512 .281 .106 .037 .221 .524 .836 .940 .785 .522 .276 .104 .040 .230 .550 .876 .977 .812 .533 .272 .102 .042 .229 .557 .893 1.000 .836 .547 .272 .102 .040 .216 .541 .879 .999 .847 .555 .271 .102 .033 .189 .496 .830 .962 .830 .546 .264 .101 .024 .154 .434 .754 .898 .789 .525 .253 .100 .015 .121 .373 .677 .827 .741 .500 .246 .102 146 .438 3846 -4.219 7.37844 .020330 1.266629 -.022446 Correlation Surface at 346 3846 .724 .571 .472 .538 .827 .848 .593 .534 .546 .785 .612 .482 .557 .880 .851 .583 .540 .574 .836 .655 .505 .602 .939 .841 .575 .552 .613 .869 .698 .541 .662 .984 .823 .566 .559 .648 .891 .743 .583 .719 1.000 .804 .558 .558 .670 .904 .786 .621 .756 .977 .788 .555 .552 .683 .910 .822 .650 .766 .920 .777 .563 .546 .694 .902 .842 .668 .749 .843 .765 .581 .547 .710 .879 .843 .676 .717 .766 .752 .607 .556 .728 r_peak,r_snr = .4305573 1.59109 Correlation Surface of oversamples image at 346 3846 3.669 3.345 2.624 2.045 1.887 3.795 3.484 2.743 2.135 1.957 3.892 3.610 2.868 2.238 2.045 3.965 3.726 2.995 2.354 2.153 4.000 3.812 3.104 2.461 2.263 3.983 3.850 3.177 2.546 2.358 3.935 3.858 3.227 2.616 2.441 3.886 3.859 3.272 2.685 2.522 3.808 3.822 3.283 2.730 2.582 346 .219 3846 -.719 1.59109 .009904 .676571 .052907 Correlation Surface at 446 3846 .353 .425 .414 .461 .613 .650 .514 .488 .512 .381 .467 .464 .540 .733 .751 .589 .552 .556 .417 .512 .531 .646 .858 .825 .655 .609 .576 .457 .559 .612 .770 .958 .859 .702 .647 .567 .498 .606 .700 .890 1.000 .846 .727 .655 .532 .538 .652 .784 .974 .963 .791 .730 .631 .481 .579 .696 .853 .994 .855 .712 .713 .582 .425 .624 .736 .897 .947 .709 .627 .680 .526 .375 .671 .763 .908 .853 .566 .549 .631 .478 .343 r_peak,r_snr = .3975307 2.15345 Correlation Surface of oversamples image at 446 3846 .612 .662 .702 .769 .836 .861 .896 .958 .956 .643 .701 .750 .826 .894 .909 .921 .951 .929 .673 .737 .792 .873 .940 .940 .924 .923 .886 .706 .773 .833 .916 .976 .957 .912 .884 .837 .740 .807 .870 .952 1.000 .958 .884 .833 .782 .766 .830 .892 .969 1.000 .932 .833 .763 .714 .780 .838 .897 .965 .975 .883 .763 .682 .638 .807 .860 .914 .971 .958 .842 .707 .618 .582 446 -3.625 3846 .844 2.15345 .055317 .353010 .112533 Correlation Surface at 546 3846 .208 .335 .492 .784 .935 .725 .513 .299 .189 .224 .336 .467 .744 .951 .777 .508 .278 .200 .232 .315 .433 .709 .978 .828 .502 .264 .214 .226 .284 .404 .689 .999 .856 .497 .263 .231 .208 .256 .392 .687 1.000 .852 .495 .278 .252 .186 .244 .401 .695 .970 .820 .502 .310 .277 .171 .249 .427 .702 .911 .769 .517 .356 .302 .163 .265 .458 .698 .835 .715 .544 .412 .324 .165 .284 .484 .687 .767 .674 .580 .470 .343 r_peak,r_snr = .5294147 4.12649 Correlation Surface of oversamples image at 546 3846 .252 .415 .642 .855 .940 .867 .704 .537 .397 .247 .410 .642 .866 .958 .877 .696 .512 .367 .241 .404 .641 .875 .976 .887 .689 .491 .342 .236 .398 .637 .881 .991 .897 .683 .474 .323 .232 .392 .630 .880 1.000 .903 .677 .461 .311 .229 .387 .621 .872 1.000 .902 .670 .451 .304 .229 .382 .609 .856 .988 .894 .659 .442 .303 .230 .379 .594 .830 .963 .875 .645 .436 .306 .234 .376 .576 .796 .926 .846 .627 .431 .315 546 .031 3846 3.250 4.12649 .003583 .425507 .010604 Correlation Surface at 646 3846 .174 .267 .381 .499 .691 .762 .491 .273 .227 .154 .238 .380 .557 .794 .810 .511 .281 .228 .140 .207 .367 .613 .899 .871 .548 .288 .221 .132 .182 .350 .646 .974 .924 .590 .293 .206 .133 .169 .342 .646 1.000 .953 .628 .300 .194 .145 .176 .349 .617 .970 .944 .650 .314 .191 .173 .207 .371 .580 .896 .894 .650 .337 .200 .212 .260 .401 .547 .805 .814 .628 .358 .219 .251 .317 .422 .521 .722 .728 .592 .369 .240 r_peak,r_snr = .3224855 4.1968 Correlation Surface of oversamples image at 646 3846 .334 .483 .666 .821 .892 .872 .743 .516 .308 .344 .511 .714 .875 .939 .905 .763 .526 .310 .354 .534 .750 .916 .974 .930 .778 .533 .310 .364 .550 .772 .939 .995 .944 .786 .536 .309 .372 .558 .780 .947 1.000 .946 .786 .535 .308 .381 .561 .778 .942 .995 .941 .782 .534 .309 .389 .561 .769 .927 .979 .928 .775 .532 .311 .392 .553 .748 .899 .951 .904 .759 .525 .312 .391 .539 .720 .860 .907 .865 .731 .513 .312 646 .500 3846 -8.188 4.19680 .016653 .720950 -.025786 Correlation Surface at 746 3846 .039 .155 .291 .478 .655 .588 .202 .016 .005 .033 .134 .275 .538 .746 .567 .168 .008 .003 .022 .111 .256 .598 .858 .552 .126 .002 .001 .012 .087 .233 .638 .957 .540 .088 .000 .000 .006 .068 .208 .637 1.000 .522 .062 .002 .001 .004 .055 .184 .596 .968 .497 .054 .003 .002 .005 .048 .166 .539 .872 .467 .062 .000 .001 .006 .047 .155 .489 .750 .435 .085 .002 .000 .010 .053 .153 .455 .640 .409 .118 .017 .000 r_peak,r_snr = .2580148 8.23253 Correlation Surface of oversamples image at 746 3846 .208 .359 .594 .826 .911 .765 .484 .249 .102 .211 .364 .611 .857 .947 .783 .477 .232 .089 .214 .370 .622 .881 .978 .803 .476 .221 .079 .215 .372 .626 .892 .997 .819 .479 .215 .074 .211 .368 .618 .886 1.000 .827 .483 .214 .072 .203 .357 .599 .862 .984 .824 .489 .218 .075 .193 .345 .577 .829 .955 .816 .498 .230 .082 .183 .332 .554 .789 .914 .800 .508 .246 .094 .167 .314 .523 .739 .858 .769 .509 .261 .108 746 -.031 3846 -.688 8.23253 .007324 .731287 .001197 Correlation Surface at 846 3846 .000 .001 .008 .049 .250 .095 .018 .012 .074 .005 .002 .011 .086 .434 .166 .031 .046 .164 .009 .005 .007 .153 .677 .272 .051 .094 .283 .003 .011 .001 .256 .901 .366 .070 .125 .338 .002 .022 .004 .385 1.000 .396 .080 .119 .275 .022 .031 .038 .511 .923 .347 .082 .093 .151 .055 .027 .126 .599 .730 .262 .084 .075 .055 .074 .014 .262 .630 .510 .183 .096 .088 .017 .066 .003 .402 .606 .341 .133 .124 .142 .013 r_peak,r_snr = .1507883 10.07391 Correlation Surface of oversamples image at 846 3846 .083 .006 .073 .382 .671 .592 .292 .121 .095 .079 .002 .107 .471 .790 .689 .343 .141 .102 .066 .000 .153 .560 .889 .762 .382 .155 .104 .042 .008 .218 .649 .963 .812 .410 .167 .104 .018 .032 .299 .728 1.000 .825 .421 .173 .101 .002 .078 .387 .780 .982 .787 .404 .167 .092 .003 .149 .478 .803 .920 .710 .364 .151 .080 .030 .255 .584 .819 .844 .624 .321 .136 .072 .094 .392 .692 .818 .752 .528 .273 .121 .067 846 -1.938 3846 9.063 10.07391 .014372 .561964 .046690 Correlation Surface at 946 3846 .141 .159 .252 .597 .900 .810 .793 .762 .482 .144 .163 .258 .650 .944 .772 .742 .753 .500 .152 .167 .251 .677 .975 .732 .666 .706 .503 .161 .169 .235 .679 .994 .698 .580 .629 .491 .169 .172 .222 .663 1.000 .673 .499 .541 .467 .177 .180 .218 .630 .982 .655 .432 .456 .435 .184 .193 .222 .579 .928 .635 .382 .386 .399 .190 .212 .230 .511 .842 .615 .353 .333 .363 .197 .238 .238 .440 .745 .601 .346 .300 .331 r_peak,r_snr = .3909487 3.7432 Correlation Surface of oversamples image at 946 3846 .212 .362 .617 .871 .927 .766 .567 .461 .447 .194 .341 .602 .877 .948 .780 .562 .437 .409 .177 .320 .587 .881 .970 .800 .565 .420 .377 .162 .301 .571 .882 .990 .822 .573 .410 .350 .152 .285 .554 .875 1.000 .839 .581 .400 .323 .146 .273 .535 .858 .997 .847 .586 .391 .298 .146 .266 .516 .832 .981 .846 .589 .385 .279 .151 .262 .496 .796 .950 .836 .589 .379 .262 .158 .258 .469 .747 .902 .810 .580 .370 .244 946 -.063 3846 3.469 3.74320 .004320 2.008020 -.004969 Correlation Surface at 1046 3846 .320 .346 .533 .672 .711 .516 .365 .267 .214 .358 .397 .580 .753 .794 .585 .405 .263 .166 .377 .428 .603 .825 .891 .658 .434 .255 .138 .373 .435 .598 .870 .968 .711 .446 .254 .136 .354 .425 .574 .886 1.000 .728 .449 .270 .164 r_peak,r_snr = .3098283 3.35671 Correlation Surface of oversamples image at 1046 3846 .624 .720 .803 .873 .848 .670 .422 .238 .134 .607 .707 .812 .912 .903 .712 .440 .242 .136 .576 .679 .809 .941 .945 .742 .450 .243 .137 .541 .649 .803 .965 .980 .766 .461 .248 .145 .503 .616 .792 .980 1.000 .776 .464 .254 .157 .457 .574 .769 .975 .991 .758 .452 .253 .167 .412 .532 .738 .952 .956 .719 .428 .250 .180 .380 .503 .716 .927 .915 .677 .408 .256 .204 .356 .483 .698 .896 .862 .626 .387 .265 .235 1046 -7.219 3846 14.188 3.35671 .019662 .832584 .006224 Correlation Surface at 1146 3846 .016 .042 .234 .430 .645 .248 .154 .034 .035 .000 .058 .188 .358 .748 .372 .167 .007 .007 .002 .047 .145 .339 .863 .502 .173 .000 .001 .001 .024 .135 .377 .970 .603 .179 .000 .000 .001 .010 .172 .447 1.000 .626 .185 .000 .000 .007 .012 .259 .483 .912 .572 .184 .001 .001 .009 .043 .382 .424 .737 .474 .165 .000 .001 .000 .141 .480 .276 .539 .365 .123 .005 .000 .019 .316 .482 .115 .377 .269 .073 .022 .000 r_peak,r_snr = .1389057 7.62301 Correlation Surface of oversamples image at 1146 3846 .272 .341 .571 .836 .768 .415 .129 .014 .004 .225 .296 .551 .869 .834 .456 .139 .013 .005 .192 .267 .545 .910 .910 .513 .162 .016 .004 .171 .249 .544 .941 .973 .569 .189 .023 .001 .161 .239 .539 .947 1.000 .606 .211 .030 .000 .164 .239 .531 .927 .992 .624 .230 .040 .001 .182 .247 .519 .886 .959 .630 .251 .055 .006 .212 .257 .494 .819 .895 .617 .266 .070 .015 .240 .255 .445 .717 .793 .572 .264 .081 .022 1146 2.281 3846 -9.719 7.62301 .025435 1.397934 .072756 Correlation Surface at 1246 3846 .001 .073 .276 .538 .701 .520 .343 .018 .000 .003 .162 .406 .639 .801 .640 .458 .075 .005 .005 .237 .489 .703 .892 .752 .574 .158 .013 .006 .270 .523 .762 .968 .809 .635 .223 .015 .006 .269 .525 .828 1.000 .767 .592 .229 .012 .005 .249 .523 .880 .939 .608 .440 .177 .010 .003 .214 .511 .869 .782 .388 .247 .109 .012 .003 .171 .460 .769 .563 .195 .099 .060 .020 .003 .123 .364 .606 .351 .080 .029 .035 .034 r_peak,r_snr = .1392323 7.23511 Correlation Surface of oversamples image at 1246 3846 .641 .711 .765 .829 .807 .682 .583 .548 .470 .625 .692 .777 .890 .895 .751 .607 .538 .465 .592 .668 .787 .943 .964 .799 .613 .514 .444 .555 .649 .798 .979 1.000 .812 .595 .476 .408 .513 .629 .805 .996 1.000 .788 .556 .425 .360 .466 .605 .802 .991 .964 .729 .495 .363 .303 .418 .578 .788 .958 .888 .635 .413 .293 .240 .381 .558 .771 .904 .783 .522 .326 .227 .184 .347 .535 .737 .822 .655 .399 .240 .169 .137 1246 6.750 3846 5.969 7.23511 .338772 3.648768 .911268 Correlation Surface at 1346 3846 .690 .814 .815 .763 .907 .829 .674 .556 .442 .692 .826 .837 .801 .928 .834 .673 .576 .466 .708 .837 .846 .839 .956 .846 .667 .583 .485 .733 .847 .847 .870 .984 .857 .652 .578 .505 .759 .854 .841 .886 1.000 .860 .631 .567 .529 .777 .854 .826 .877 .995 .854 .608 .555 .558 .780 .843 .800 .843 .969 .842 .591 .549 .586 .762 .820 .764 .793 .926 .827 .587 .554 .608 .727 .782 .719 .740 .874 .810 .601 .576 .627 r_peak,r_snr = .3793209 1.98013 Correlation Surface of oversamples image at 1346 3846 .887 .881 .859 .886 .961 .994 .941 .835 .719 .887 .886 .874 .908 .978 .995 .931 .827 .717 .883 .885 .885 .927 .992 .994 .921 .820 .714 .875 .879 .889 .939 .999 .988 .909 .810 .707 .866 .871 .887 .944 1.000 .980 .897 .801 .698 .859 .861 .882 .944 .997 .973 .890 .797 .692 .852 .849 .871 .936 .989 .964 .885 .795 .687 .842 .833 .854 .920 .973 .951 .878 .791 .680 .832 .816 .832 .896 .950 .936 .872 .789 .674 1346 -.313 3846 9.219 1.98013 .025427 2.987375 .033231 Correlation Surface at 1446 3846 .160 .114 .073 .344 .837 .721 .517 .416 .175 .152 .095 .055 .343 .905 .762 .561 .462 .155 .130 .083 .052 .355 .963 .765 .601 .516 .159 .099 .076 .061 .379 .997 .728 .616 .554 .182 .072 .073 .078 .411 1.000 .668 .595 .553 .220 .054 .070 .097 .442 .980 .607 .547 .505 .259 .042 .063 .106 .465 .946 .561 .481 .429 .285 .036 .054 .105 .478 .911 .542 .417 .350 .290 .037 .050 .102 .484 .882 .557 .376 .292 .273 r_peak,r_snr = .2933572 4.35069 Correlation Surface of oversamples image at 1446 3846 .482 .871 1.861 3.180 4.000 3.924 3.384 2.804 2.449 .424 .804 1.775 3.108 3.982 3.939 3.394 2.823 2.513 .385 .751 1.689 3.016 3.931 3.903 3.348 2.804 2.565 .360 .715 1.616 2.924 3.861 3.833 3.266 2.773 2.627 .351 .693 1.553 2.833 3.775 3.726 3.143 2.715 2.676 1446 .188 3846 -6.781 4.35069 .028396 7.172818 .413362 Correlation Surface at 1546 3846 .221 .348 .558 .828 .913 .829 .615 .431 .341 .225 .350 .582 .872 .940 .828 .628 .427 .334 .228 .348 .590 .901 .967 .831 .634 .427 .325 .233 .346 .585 .912 .989 .839 .639 .433 .313 .243 .350 .575 .904 1.000 .851 .645 .446 .301 .257 .359 .569 .880 .996 .864 .654 .464 .291 .271 .373 .573 .847 .979 .872 .658 .483 .287 .279 .389 .588 .818 .960 .872 .653 .498 .292 .283 .402 .611 .797 .942 .861 .637 .502 .307 r_peak,r_snr = .5511533 2.93253 Correlation Surface of oversamples image at 1546 3846 .535 .705 .860 .951 .958 .906 .822 .712 .584 .525 .693 .854 .957 .977 .928 .841 .723 .592 .516 .679 .842 .956 .989 .947 .856 .734 .599 .510 .665 .827 .950 .996 .961 .868 .742 .607 .510 .657 .813 .942 1.000 .972 .877 .748 .614 .514 .652 .801 .932 .999 .977 .882 .752 .620 .520 .647 .786 .916 .990 .974 .879 .747 .618 .529 .645 .772 .898 .978 .967 .871 .736 .608 .548 .655 .770 .890 .972 .964 .866 .727 .600 1546 .125 3846 -.250 2.93253 .014978 1.660684 -.106450 Correlation Surface at 1646 3846 .192 .294 .563 .711 .719 .696 .625 .440 .261 .210 .338 .624 .753 .798 .753 .592 .383 .255 .221 .364 .654 .779 .886 .823 .560 .330 .266 .229 .377 .662 .792 .962 .888 .540 .298 .297 .241 .387 .665 .793 1.000 .918 .530 .296 .348 .261 .404 .673 .780 .981 .891 .521 .324 .406 .290 .426 .688 .753 .910 .808 .503 .372 .459 .324 .445 .700 .715 .810 .691 .473 .429 .500 .351 .447 .688 .666 .699 .567 .437 .483 .532 r_peak,r_snr = .3053663 2.77228 Correlation Surface of oversamples image at 1646 3846 .704 .720 .794 .876 .899 .864 .756 .559 .369 .702 .730 .820 .912 .936 .891 .765 .548 .348 .703 .742 .845 .946 .967 .910 .770 .540 .333 .709 .754 .866 .974 .989 .920 .769 .532 .325 .719 .766 .881 .991 1.000 .917 .760 .525 .324 .734 .775 .887 .994 .995 .902 .741 .517 .328 .752 .784 .886 .984 .977 .876 .717 .508 .337 .772 .789 .875 .961 .945 .839 .687 .501 .352 .784 .783 .848 .917 .895 .788 .648 .489 .368 1646 .250 3846 -4.250 2.77228 .035163 .810902 -.013530 Correlation Surface at 1746 3846 .006 .002 .016 .355 .572 .373 .332 .246 .046 .002 .001 .054 .506 .731 .453 .349 .198 .037 .030 .014 .115 .662 .892 .533 .325 .122 .037 .071 .025 .187 .805 1.000 .538 .249 .054 .046 .080 .025 .256 .893 1.000 .441 .148 .019 .060 .053 .018 .308 .880 .877 .290 .065 .008 .071 .021 .012 .332 .763 .688 .157 .022 .007 .069 .004 .013 .313 .560 .501 .079 .010 .012 .049 .000 .020 .238 .329 .345 .054 .012 .020 .023 r_peak,r_snr = .1583468 9.99928 Correlation Surface of oversamples image at 1746 3846 .061 .138 .278 .483 .687 .714 .606 .475 .385 .082 .178 .344 .576 .795 .812 .665 .485 .361 .100 .214 .405 .661 .890 .892 .702 .476 .324 .111 .240 .452 .726 .961 .945 .710 .445 .278 .116 .256 .481 .765 1.000 .963 .687 .397 .226 .116 .262 .488 .770 .999 .942 .635 .336 .174 .110 .253 .465 .734 .956 .887 .564 .271 .127 .103 .235 .421 .667 .882 .814 .491 .213 .089 .098 .213 .360 .573 .781 .725 .418 .164 .062 1746 -.313 3846 -3.813 9.99928 .064635 1.234630 .210559 Correlation Surface at 1846 3846 .301 .400 .547 .718 .716 .511 .287 .300 .396 .286 .394 .554 .759 .821 .547 .262 .265 .381 .290 .415 .596 .817 .922 .582 .260 .250 .371 .313 .457 .659 .874 .989 .611 .277 .248 .357 .346 .508 .719 .905 1.000 .628 .306 .246 .328 .377 .551 .755 .900 .957 .631 .332 .234 .283 .393 .573 .759 .863 .883 .616 .344 .212 .234 .384 .566 .737 .817 .805 .586 .335 .184 .191 .357 .537 .707 .780 .739 .545 .309 .160 .164 r_peak,r_snr = .4209618 2.59099 Correlation Surface of oversamples image at 1846 3846 .468 .567 .690 .830 .923 .882 .712 .534 .428 .486 .589 .718 .869 .964 .909 .722 .538 .432 .505 .610 .743 .897 .990 .922 .725 .544 .439 .525 .631 .763 .915 1.000 .923 .727 .553 .452 .548 .654 .783 .927 1.000 .917 .730 .570 .473 .571 .676 .799 .928 .987 .904 .734 .592 .500 .590 .691 .804 .916 .960 .881 .734 .614 .526 .606 .701 .801 .894 .923 .853 .734 .635 .550 .622 .710 .799 .872 .888 .829 .738 .659 .576 1846 .031 3846 4.188 2.59099 .006155 .333939 .000271 Correlation Surface at 1946 3846 .379 .463 .534 .658 .743 .642 .539 .466 .354 .398 .486 .554 .714 .819 .669 .522 .444 .357 .413 .499 .562 .751 .898 .702 .503 .417 .356 .424 .506 .561 .770 .965 .728 .483 .391 .353 .427 .511 .556 .770 1.000 .738 .466 .371 .350 .422 .515 .550 .753 .989 .730 .458 .364 .351 .406 .516 .545 .719 .930 .705 .459 .367 .356 .385 .509 .535 .667 .836 .669 .471 .385 .370 .360 .487 .515 .602 .730 .630 .490 .411 .390 r_peak,r_snr = .5445023 3.28822 Correlation Surface of oversamples image at 1946 3846 .489 .584 .718 .850 .894 .795 .621 .479 .401 .494 .592 .732 .877 .933 .828 .635 .478 .392 .496 .594 .740 .897 .964 .855 .646 .476 .383 .495 .592 .741 .910 .987 .875 .655 .475 .376 .492 .586 .736 .914 1.000 .887 .659 .473 .371 .485 .574 .723 .905 .998 .886 .657 .471 .367 .477 .558 .702 .884 .981 .873 .649 .468 .366 .469 .541 .678 .856 .954 .853 .641 .468 .370 .462 .524 .650 .820 .915 .824 .629 .470 .377 1946 -.031 3846 .188 3.28822 .002807 .179306 -.001958 Correlation Surface at 2046 3846 .318 .344 .447 .665 .804 .655 .481 .323 .161 .315 .348 .453 .695 .854 .685 .488 .322 .151 .308 .356 .473 .742 .918 .719 .484 .306 .136 .299 .367 .497 .786 .974 .743 .466 .279 .120 .287 .376 .511 .806 1.000 .747 .437 .248 .107 .278 .376 .505 .793 .986 .727 .401 .220 .098 .272 .370 .484 .750 .939 .688 .366 .200 .095 .269 .359 .458 .693 .873 .641 .338 .190 .095 .267 .348 .435 .635 .802 .597 .321 .186 .095 r_peak,r_snr = .6178631 4.51829 Correlation Surface of oversamples image at 2046 3846 .521 .645 .791 .915 .947 .898 .803 .667 .510 .539 .663 .811 .935 .966 .917 .818 .674 .510 .558 .682 .831 .953 .984 .935 .831 .677 .506 .574 .698 .844 .963 .996 .948 .837 .673 .497 .587 .708 .850 .965 1.000 .954 .838 .665 .484 .593 .709 .847 .959 .998 .955 .834 .653 .468 .590 .700 .832 .944 .988 .951 .826 .638 .452 .577 .681 .808 .920 .971 .939 .812 .620 .433 .556 .652 .775 .890 .949 .923 .797 .601 .414 2046 -.031 3846 4.250 4.51829 .002127 .131240 .001962 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .030 .036 .000 .204 .358 .244 .125 .004 .020 .037 .048 .000 .282 .573 .375 .149 .005 .017 .038 .043 .004 .389 .810 .480 .161 .009 .011 .037 .031 .016 .486 .970 .516 .154 .015 .006 .035 .017 .037 .544 1.000 .483 .133 .020 .002 .031 .006 .065 .553 .917 .418 .108 .021 .000 .027 .000 .098 .527 .786 .357 .087 .018 .000 .021 .001 .140 .503 .675 .317 .076 .014 .000 .012 .010 .202 .511 .614 .304 .077 .012 .001 r_peak,r_snr = .2052378 8.90568 Correlation Surface of oversamples image at 146 4246 .038 .004 .043 .307 .677 .697 .347 .052 .007 .021 .000 .083 .421 .830 .812 .389 .055 .009 .009 .005 .134 .528 .940 .866 .388 .045 .013 .003 .017 .188 .616 .999 .864 .357 .031 .022 .000 .034 .237 .671 1.000 .815 .308 .017 .034 .000 .054 .279 .693 .958 .739 .255 .007 .049 .004 .081 .323 .706 .913 .674 .216 .002 .063 .013 .117 .370 .717 .877 .630 .194 .001 .075 .023 .151 .404 .709 .833 .589 .175 .000 .089 146 -.375 4246 -3.875 8.90568 .011010 .621800 .035307 Correlation Surface at 246 4246 .003 .029 .002 .176 .478 .207 .049 .018 .078 .006 .209 .631 .280 .074 .029 .098 .003 .285 .815 .373 .100 .033 .070 .001 .390 .970 .450 .122 .041 .026 .022 .475 1.000 .455 .132 .066 .003 .066 .479 .826 .343 .111 .118 .000 .107 .376 .490 .148 .055 .188 .000 .103 .208 .161 .007 .005 .250 .006 .058 .062 .004 .068 .021 r_peak,r_snr = .1027728 6.72514 Correlation Surface of oversamples image at 246 4246 .480 .064 .059 .400 .664 .611 .405 .294 .280 .429 .037 .100 .509 .803 .727 .469 .316 .272 .354 .014 .149 .603 .920 .831 .534 .346 .277 .265 .002 .198 .668 .995 .906 .592 .383 .297 .178 .001 .233 .683 1.000 .919 .616 .410 .324 .105 .009 .243 .632 .910 .841 .581 .405 .334 .047 .024 .232 .535 .756 .701 .500 .372 .331 .009 .047 .218 .429 .586 .543 .405 .331 .331 .000 .069 .185 .304 .391 .356 .279 .260 .305 246 12.156 4246 -8.219 6.72514 .033950 .904437 .062581 Correlation Surface at 346 4246 .385 .454 .603 .771 .841 .753 .723 .719 .667 .382 .458 .625 .810 .879 .790 .742 .697 .641 .375 .464 .662 .864 .929 .831 .744 .661 .606 .365 .470 .704 .914 .975 .867 .734 .623 .580 .352 .476 .739 .944 1.000 .891 .717 .591 .573 .342 .482 .758 .945 .994 .897 .703 .576 .588 .337 .489 .757 .918 .957 .882 .694 .582 .619 .337 .493 .736 .872 .902 .856 .694 .608 .651 .340 .493 .701 .820 .850 .829 .702 .644 .674 r_peak,r_snr = .5872386 2.03447 Correlation Surface of oversamples image at 346 4246 .506 .601 .719 .844 .941 .947 .844 .688 .565 .527 .627 .748 .873 .965 .967 .860 .699 .564 .547 .654 .779 .900 .986 .980 .871 .707 .562 .564 .679 .805 .921 .998 .985 .875 .711 .559 .577 .699 .825 .935 1.000 .980 .870 .709 .556 .586 .715 .840 .940 .991 .963 .856 .702 .551 .591 .726 .848 .935 .972 .938 .835 .691 .547 .592 .731 .849 .923 .946 .905 .809 .677 .543 .588 .731 .843 .903 .914 .868 .779 .659 .539 346 -.281 4246 -1.313 2.03447 .012576 .271178 .000444 Correlation Surface at 446 4246 .051 .137 .249 .553 .509 .221 .043 .002 .052 .064 .139 .227 .612 .703 .315 .076 .020 .082 .074 .129 .196 .620 .866 .432 .131 .057 .117 .080 .112 .163 .584 .965 .569 .227 .113 .145 .086 .097 .134 .522 1.000 .719 .383 .184 .155 .098 .094 .112 .457 .986 .860 .596 .263 .143 .121 .110 .105 .401 .925 .948 .815 .329 .115 .158 .151 .116 .360 .820 .938 .951 .365 .081 .205 .212 .151 .335 .688 .824 .931 .355 .051 r_peak,r_snr = .2146608 6.56823 Correlation Surface of oversamples image at 446 4246 .091 .234 .521 .868 .888 .471 .105 .004 .001 .082 .217 .508 .884 .940 .527 .134 .012 .000 .074 .198 .483 .879 .973 .580 .172 .027 .004 .066 .178 .451 .858 .992 .632 .220 .054 .019 .058 .157 .416 .827 1.000 .682 .278 .097 .050 .050 .135 .376 .784 .991 .722 .341 .155 .097 .042 .114 .337 .736 .968 .751 .406 .227 .162 .039 .102 .312 .703 .953 .783 .480 .318 .250 .038 .094 .293 .673 .932 .803 .547 .411 .347 446 -2.094 4246 -5.313 6.56823 .194865 7.399558 -1.160653 Correlation Surface at 546 4246 .207 .367 .695 .925 .928 .613 .255 .136 .136 .214 .381 .716 .967 .954 .621 .248 .137 .142 .218 .386 .723 .992 .978 .629 .239 .130 .139 .214 .377 .711 .990 .995 .636 .231 .120 .132 .205 .354 .679 .966 1.000 .638 .229 .114 .128 r_peak,r_snr = .5661801 4.12397 Correlation Surface of oversamples image at 546 4246 .460 .646 .827 .958 .991 .912 .759 .575 .397 .471 .657 .835 .962 .995 .922 .771 .582 .397 .481 .667 .840 .963 .997 .933 .784 .589 .397 .489 .673 .842 .961 .999 .944 .797 .595 .396 .494 .676 .840 .956 1.000 .954 .809 .600 .395 .496 .675 .835 .949 1.000 .962 .818 .603 .392 .494 .670 .827 .941 .998 .967 .823 .603 .390 .489 .661 .815 .930 .994 .969 .823 .600 .387 .480 .648 .800 .919 .987 .965 .817 .594 .385 546 -.469 4246 13.250 4.12397 .004810 1.124067 -.042289 Correlation Surface at 646 4246 .500 .558 .646 .785 .930 .868 .578 .401 .326 .493 .552 .636 .791 .947 .867 .565 .398 .330 .498 .556 .638 .807 .969 .871 .562 .404 .337 .514 .568 .650 .824 .988 .882 .571 .420 .342 .540 .586 .667 .835 1.000 .899 .594 .442 .346 .570 .606 .685 .835 .997 .917 .624 .466 .345 .594 .623 .695 .821 .976 .928 .650 .480 .342 .605 .631 .694 .792 .933 .923 .662 .480 .336 .600 .629 .682 .753 .879 .902 .656 .467 .332 r_peak,r_snr = .6645275 2.48399 Correlation Surface of oversamples image at 646 4246 .736 .786 .867 .951 .986 .933 .781 .607 .478 .740 .782 .857 .943 .986 .940 .792 .618 .487 .741 .775 .846 .936 .990 .951 .805 .632 .499 .739 .769 .838 .933 .997 .965 .823 .650 .515 .733 .758 .827 .928 1.000 .975 .837 .666 .529 .722 .744 .813 .919 .999 .980 .847 .678 .540 .706 .726 .797 .908 .993 .979 .850 .684 .545 .691 .712 .785 .900 .989 .978 .853 .689 .551 646 -.375 4246 9.781 2.48399 .003792 .658715 -.015521 Correlation Surface at 746 4246 .026 .014 .061 .459 .767 .291 .013 .036 .114 .027 .020 .038 .412 .808 .338 .024 .028 .100 .031 .029 .019 .381 .876 .410 .042 .025 .086 .040 .041 .007 .362 .951 .496 .062 .024 .075 .052 .053 .002 .349 1.000 .569 .078 .026 .065 r_peak,r_snr = .329848 8.98226 Correlation Surface of oversamples image at 746 4246 .004 .075 .290 .625 .865 .815 .536 .248 .072 .001 .065 .290 .657 .922 .868 .571 .266 .077 .000 .060 .295 .687 .969 .909 .598 .279 .080 .000 .058 .300 .708 .996 .929 .610 .284 .080 .000 .058 .306 .717 1.000 .927 .608 .283 .078 .000 .062 .315 .720 .991 .913 .600 .281 .077 .000 .069 .323 .715 .965 .884 .583 .276 .076 .001 .072 .321 .687 .912 .830 .548 .261 .072 .001 .073 .308 .641 .839 .761 .504 .242 .066 746 1.156 4246 14.813 8.98226 .003933 .907393 -.033638 Correlation Surface at 846 4246 .044 .000 .002 .404 .877 .858 .301 .029 .002 .087 .003 .015 .540 .976 .825 .257 .045 .000 .129 .010 .036 .652 1.000 .736 .185 .040 .000 .147 .012 .051 .702 .921 .597 .102 .014 .010 .124 .006 .049 .683 .769 .428 .033 .000 .049 .070 .000 .034 .618 .595 .266 .001 .034 .118 .020 .006 .019 .531 .430 .133 .009 .103 .174 r_peak,r_snr = .1570668 9.21355 Correlation Surface of oversamples image at 846 4246 .124 .320 .473 .680 .886 .823 .483 .162 .019 .155 .366 .516 .719 .925 .849 .496 .170 .024 .193 .421 .571 .774 .974 .881 .513 .182 .033 .246 .488 .632 .824 1.000 .881 .511 .189 .042 .309 .556 .687 .858 .997 .853 .491 .189 .050 .372 .615 .728 .875 .974 .808 .463 .184 .055 .435 .663 .752 .872 .932 .748 .425 .173 .056 .502 .705 .761 .846 .866 .670 .375 .153 .052 846 3.125 4246 -15.750 9.21355 .123139 2.132067 .425292 Correlation Surface at 946 4246 .521 .482 .557 .881 .978 .655 .501 .694 .695 .491 .483 .579 .895 1.000 .682 .552 .746 .728 .452 .511 .619 .884 .979 .667 .567 .762 .736 .413 .557 .663 .852 .916 .614 .543 .734 .716 .375 .602 .688 .800 .823 .539 .493 .672 .675 .341 .628 .678 .728 .717 .463 .439 .597 .630 r_peak,r_snr = .3579183 2.84216 Correlation Surface of oversamples image at 946 4246 .404 .453 .591 .796 .956 .926 .727 .523 .408 .402 .456 .597 .806 .972 .942 .740 .535 .419 .410 .469 .610 .818 .987 .958 .753 .545 .430 .429 .491 .629 .831 .999 .969 .760 .552 .438 .453 .516 .646 .839 1.000 .967 .755 .548 .439 .481 .544 .663 .841 .991 .953 .738 .535 .432 .517 .578 .685 .846 .981 .935 .719 .521 .425 .558 .616 .709 .851 .967 .910 .694 .501 .413 .595 .647 .723 .844 .938 .869 .655 .470 .391 946 -3.281 4246 -13.750 2.84216 .011438 .889619 -.005983 Correlation Surface at 1146 4246 .073 .046 .159 .253 .390 .486 .115 .024 .198 .045 .032 .219 .394 .606 .635 .140 .014 .199 .027 .027 .293 .541 .820 .736 .172 .004 .189 .021 .036 .374 .654 .964 .746 .198 .000 .172 .027 .069 .451 .727 1.000 .651 .190 .000 .151 .050 .136 .520 .766 .918 .478 .137 .000 .131 .096 .236 .571 .776 .756 .287 .063 .009 .116 r_peak,r_snr = .1635766 5.17617 Correlation Surface of oversamples image at 1146 4246 .118 .212 .340 .560 .740 .701 .512 .311 .141 .110 .215 .361 .620 .845 .803 .566 .328 .148 .100 .214 .373 .663 .923 .873 .592 .327 .146 .090 .209 .380 .692 .974 .910 .591 .311 .137 .079 .203 .384 .708 1.000 .912 .564 .285 .125 .068 .194 .381 .709 .994 .876 .510 .245 .106 .057 .179 .367 .686 .945 .795 .429 .190 .078 .047 .164 .346 .644 .863 .682 .333 .131 .047 .041 .152 .329 .599 .768 .563 .242 .081 .022 1146 5.156 4246 11.656 5.17617 .089823 1.411942 .280538 Correlation Surface at 1246 4246 .215 .034 .055 .390 .636 .170 .006 .010 .000 .142 .010 .081 .440 .712 .196 .001 .001 .006 .095 .002 .120 .527 .815 .242 .001 .003 .016 .072 .000 .168 .645 .928 .299 .007 .010 .021 .069 .000 .209 .753 1.000 .334 .015 .012 .021 .075 .000 .226 .799 .978 .316 .014 .006 .019 .085 .002 .213 .763 .846 .242 .005 .000 .018 .094 .005 .185 .661 .642 .144 .000 .003 .018 .102 .008 .158 .542 .441 .063 .013 .017 .018 r_peak,r_snr = .2250911 9.63976 Correlation Surface of oversamples image at 1246 4246 .031 .172 .417 .692 .866 .832 .571 .230 .034 .038 .192 .451 .733 .910 .874 .603 .247 .039 .044 .213 .487 .776 .954 .915 .635 .266 .045 .049 .230 .519 .814 .990 .945 .658 .280 .050 .049 .239 .537 .833 1.000 .947 .658 .280 .050 .047 .241 .543 .834 .987 .922 .634 .267 .045 .047 .243 .549 .835 .969 .887 .600 .247 .039 .046 .244 .550 .826 .938 .835 .551 .220 .032 .042 .233 .528 .786 .869 .747 .474 .177 .020 1246 .656 4246 -2.625 9.63976 .008672 .688510 .025476 Correlation Surface at 1346 4246 .308 .520 .637 .683 .837 .751 .558 .508 .484 .309 .530 .615 .671 .875 .789 .565 .487 .473 .309 .526 .607 .687 .925 .844 .580 .477 .463 .309 .509 .616 .727 .974 .905 .607 .478 .455 .307 .484 .635 .771 1.000 .955 .641 .488 .450 .300 .458 .656 .798 .981 .969 .670 .496 .443 r_peak,r_snr = .4704486 2.26413 Correlation Surface of oversamples image at 1346 4246 .607 .655 .768 .889 .926 .840 .701 .593 .545 .605 .661 .785 .915 .950 .856 .712 .603 .555 .608 .671 .806 .942 .972 .872 .725 .616 .567 .614 .686 .827 .965 .990 .886 .739 .630 .581 .625 .702 .846 .980 1.000 .897 .754 .644 .595 .637 .720 .860 .984 .999 .902 .767 .659 .609 .652 .736 .867 .976 .985 .900 .777 .674 .621 .669 .753 .868 .956 .959 .891 .785 .687 .631 .692 .773 .867 .928 .927 .878 .794 .703 .641 1346 1.313 4246 12.813 2.26413 .011296 .323712 .005008 Correlation Surface at 1446 4246 .279 .402 .535 .695 .886 .811 .506 .304 .226 .316 .444 .544 .671 .928 .854 .519 .318 .232 .364 .475 .536 .644 .966 .887 .534 .343 .244 .413 .490 .518 .629 .990 .906 .553 .373 .260 .451 .486 .499 .630 1.000 .916 .575 .400 .277 .464 .467 .488 .649 .995 .919 .597 .417 .291 .441 .438 .486 .676 .973 .910 .613 .419 .300 .390 .410 .490 .710 .949 .891 .617 .411 .307 .329 .390 .503 .753 .933 .858 .602 .401 .317 r_peak,r_snr = .4373345 2.60227 Correlation Surface of oversamples image at 1446 4246 2.515 2.798 3.219 3.730 3.977 3.744 3.152 2.413 1.809 2.605 2.886 3.266 3.720 3.947 3.734 3.150 2.390 1.762 2.669 2.962 3.307 3.700 3.891 3.685 3.103 2.329 1.687 2.783 3.105 3.433 3.770 3.914 3.691 3.093 2.299 1.642 1446 .406 4246 8.813 2.60227 .005932 3.738048 .023262 Correlation Surface at 1546 4246 .300 .420 .491 .576 .779 .884 .708 .580 .400 .282 .429 .543 .640 .862 .950 .736 .614 .435 .264 .424 .597 .715 .944 .982 .732 .636 .477 .250 .414 .646 .789 .997 .968 .705 .647 .517 .244 .408 .683 .845 1.000 .916 .675 .648 .548 .249 .412 .700 .867 .953 .846 .657 .644 .565 .268 .429 .698 .851 .880 .783 .656 .640 .569 .300 .457 .681 .805 .812 .745 .669 .639 .567 .343 .492 .658 .747 .772 .738 .688 .637 .565 r_peak,r_snr = .4277061 1.90054 Correlation Surface of oversamples image at 1546 4246 .753 .801 .887 .962 .964 .898 .822 .758 .683 .758 .799 .886 .968 .978 .908 .824 .759 .690 .768 .801 .886 .974 .988 .911 .815 .749 .688 .784 .811 .894 .984 .997 .908 .801 .735 .683 .805 .827 .906 .993 1.000 .898 .780 .715 .672 .827 .844 .914 .993 .990 .877 .751 .688 .654 .853 .862 .919 .984 .970 .846 .718 .659 .634 .880 .883 .924 .971 .943 .814 .688 .635 .616 .904 .900 .923 .950 .908 .779 .662 .616 .600 1546 .781 4246 -1.781 1.90054 .058351 .644822 .159430 Correlation Surface at 1746 4246 .132 .057 .107 .010 .104 .081 .000 .103 .010 .147 .054 .131 .020 .225 .095 .019 .029 .000 .117 .038 .144 .050 .473 .138 .076 .001 .022 .041 .015 .158 .114 .793 .190 .140 .049 .088 .001 .001 .183 .209 1.000 .205 .185 .164 .184 .094 .003 .227 .298 .938 .157 .203 .310 .277 .325 .008 .277 .328 .628 .070 .203 .431 .338 .586 .009 .291 .279 .273 .008 .209 .472 .346 .757 .007 .246 .181 .059 .005 .213 .436 .309 r_peak,r_snr = .102036 9.69068 Correlation Surface of oversamples image at 1746 4246 .014 .010 .035 .245 .663 .778 .444 .092 .005 .015 .012 .050 .314 .787 .869 .447 .066 .000 .016 .017 .070 .387 .898 .932 .430 .042 .009 .019 .024 .095 .453 .973 .951 .392 .022 .028 .024 .035 .121 .503 1.000 .917 .334 .008 .053 .028 .046 .144 .521 .963 .825 .259 .001 .082 .032 .056 .156 .499 .862 .688 .181 .001 .109 .040 .068 .162 .455 .735 .546 .120 .006 .122 .049 .078 .159 .391 .587 .403 .073 .012 .124 1746 5.219 4246 -5.719 9.69068 .014047 .534113 .033998 Correlation Surface at 1846 4246 .138 .224 .310 .522 .782 .624 .393 .226 .176 .145 .217 .318 .578 .858 .645 .351 .202 .176 .159 .208 .327 .642 .925 .651 .324 .196 .179 .181 .207 .348 .708 .975 .647 .311 .201 .182 .208 .221 .382 .766 1.000 .636 .306 .206 .180 .235 .250 .425 .800 .992 .619 .304 .203 .168 .256 .293 .466 .800 .952 .599 .297 .186 .145 .267 .342 .495 .768 .883 .572 .281 .157 .115 .271 .386 .504 .713 .800 .538 .254 .124 .082 r_peak,r_snr = .4702631 5.02921 Correlation Surface of oversamples image at 1846 4246 .317 .468 .667 .845 .918 .834 .637 .442 .314 .326 .494 .706 .884 .949 .851 .641 .440 .313 .340 .523 .744 .921 .976 .867 .648 .443 .317 .356 .551 .776 .947 .995 .879 .654 .448 .322 .372 .572 .794 .957 1.000 .881 .657 .452 .327 .389 .588 .800 .954 .994 .876 .657 .456 .331 .407 .600 .801 .946 .983 .871 .661 .464 .337 .423 .604 .791 .927 .964 .860 .661 .471 .342 .431 .594 .764 .890 .926 .832 .650 .469 .339 1846 -.094 4246 .406 5.02921 .005347 .707304 .039681 Correlation Surface at 1946 4246 .368 .468 .616 .840 .908 .828 .670 .422 .302 .348 .459 .602 .835 .935 .849 .652 .407 .311 .322 .446 .597 .846 .970 .868 .630 .394 .318 .297 .432 .599 .862 .997 .874 .605 .384 .319 .276 .421 .605 .870 1.000 .862 .581 .381 .313 .264 .417 .614 .865 .972 .830 .562 .386 .304 .264 .422 .624 .845 .918 .785 .549 .400 .298 .274 .440 .637 .813 .848 .736 .541 .418 .297 .294 .466 .652 .774 .775 .684 .531 .432 .301 r_peak,r_snr = .6229404 3.53324 Correlation Surface of oversamples image at 1946 4246 .544 .667 .802 .904 .951 .943 .884 .785 .658 .550 .678 .817 .922 .969 .956 .884 .775 .644 .558 .690 .831 .937 .984 .964 .882 .764 .630 .566 .701 .844 .950 .995 .969 .878 .752 .618 .574 .711 .854 .958 1.000 .968 .871 .740 .607 .581 .718 .858 .960 .997 .961 .860 .728 .597 .589 .723 .857 .953 .986 .946 .845 .715 .589 .597 .725 .852 .942 .970 .929 .829 .702 .584 .605 .725 .843 .925 .948 .906 .811 .690 .579 1946 1.063 4246 5.000 3.53324 .004980 .211234 .010674 Correlation Surface at 2046 4246 .233 .308 .358 .494 .545 .461 .347 .133 .030 .187 .295 .353 .533 .712 .542 .352 .156 .069 .157 .289 .375 .579 .873 .603 .352 .179 .108 .139 .302 .426 .620 .981 .628 .344 .202 .130 .134 .337 .489 .638 1.000 .614 .333 .222 .128 .138 .385 .539 .622 .929 .567 .322 .234 .108 .146 .434 .555 .577 .802 .503 .311 .236 .085 .157 .472 .538 .523 .672 .440 .302 .231 .070 .171 .494 .511 .483 .572 .393 .296 .224 .072 r_peak,r_snr = .2425853 5.27572 Correlation Surface of oversamples image at 2046 4246 .544 .663 .728 .808 .843 .763 .640 .551 .496 .570 .688 .746 .841 .907 .842 .698 .573 .500 .598 .712 .761 .866 .959 .906 .738 .581 .497 .628 .733 .768 .879 .994 .947 .755 .573 .485 .659 .750 .766 .874 1.000 .956 .745 .549 .464 .688 .759 .751 .848 .976 .930 .708 .510 .437 .712 .759 .726 .806 .926 .874 .650 .461 .403 .730 .750 .691 .748 .852 .792 .577 .406 .367 .744 .738 .653 .683 .765 .699 .501 .356 .333 2046 .656 4246 3.281 5.27572 .010910 .609812 .016290 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .057 .125 .367 .632 .643 .681 .751 .839 .682 .045 .084 .318 .665 .758 .757 .822 .850 .657 .041 .061 .286 .715 .878 .791 .851 .817 .606 .047 .059 .275 .768 .969 .765 .807 .749 .559 .068 .078 .279 .798 1.000 .697 .703 .668 .540 .107 .118 .294 .789 .961 .613 .577 .594 .548 .162 .175 .311 .736 .862 .534 .466 .535 .566 .220 .232 .328 .657 .734 .471 .393 .499 .577 .262 .266 .337 .570 .605 .428 .360 .471 .560 r_peak,r_snr = .2725837 3.86124 Correlation Surface of oversamples image at 146 4646 .153 .287 .530 .777 .819 .685 .571 .549 .612 .148 .286 .548 .828 .887 .741 .609 .572 .625 .150 .289 .565 .871 .942 .786 .636 .580 .619 .158 .301 .587 .905 .982 .821 .654 .578 .600 .174 .319 .607 .924 1.000 .838 .660 .563 .568 .191 .335 .615 .914 .983 .827 .646 .533 .522 .214 .352 .614 .880 .936 .793 .616 .494 .470 .246 .379 .618 .845 .884 .755 .589 .463 .430 .284 .408 .619 .804 .823 .709 .559 .435 .397 146 -2.656 4646 -1.969 3.86124 .026122 .851608 .090733 Correlation Surface at 246 4646 .002 .020 .002 .291 .336 .011 .013 .248 .499 .001 .017 .020 .536 .582 .024 .035 .272 .530 .000 .012 .043 .711 .806 .037 .077 .307 .559 .000 .009 .055 .756 .963 .053 .123 .338 .570 .001 .009 .039 .660 1.000 .072 .138 .329 .538 .005 .014 .010 .457 .894 .100 .105 .255 .436 .018 .024 .002 .223 .677 .134 .045 .140 .274 .038 .043 .046 .056 .436 .168 .003 .040 .110 .056 .072 .153 .000 .245 .197 .011 .001 .015 r_peak,r_snr = .136806 8.7332 Correlation Surface of oversamples image at 246 4646 .007 .024 .176 .428 .574 .431 .178 .055 .043 .004 .035 .223 .538 .725 .554 .239 .073 .045 .001 .046 .257 .624 .858 .672 .297 .085 .039 .000 .054 .269 .669 .954 .768 .343 .089 .028 .000 .056 .257 .667 1.000 .833 .374 .085 .015 .001 .052 .224 .620 .997 .867 .393 .077 .005 .003 .043 .177 .540 .951 .877 .405 .069 .000 .004 .030 .123 .438 .869 .863 .413 .065 .001 .003 .016 .071 .326 .759 .826 .419 .065 .003 246 -.375 4646 -.719 8.73320 .016454 1.107887 -.090431 Correlation Surface at 346 4646 .316 .396 .520 .808 .837 .590 .356 .320 .347 .331 .364 .489 .812 .891 .639 .386 .350 .384 .344 .345 .476 .815 .943 .694 .424 .376 .394 .350 .338 .481 .818 .982 .746 .468 .397 .373 .345 .343 .502 .815 1.000 .789 .511 .405 .333 .331 .357 .534 .803 .991 .819 .544 .398 .287 .314 .375 .565 .781 .961 .838 .567 .376 .246 .294 .388 .583 .758 .926 .855 .583 .346 .215 .277 .386 .582 .744 .905 .879 .598 .319 .196 r_peak,r_snr = .3470306 2.99089 Correlation Surface of oversamples image at 346 4646 2.337 2.794 3.256 3.569 3.597 3.326 2.930 2.501 2.032 2.329 2.779 3.234 3.561 3.642 3.425 3.028 2.544 1.999 2.293 2.741 3.191 3.531 3.663 3.494 3.088 2.543 1.926 2.321 2.781 3.237 3.602 3.787 3.657 3.225 2.603 1.904 346 1.625 4646 -5.188 2.99089 .025448 2.796893 -.176896 Correlation Surface at 446 4646 .328 .274 .363 .671 .830 .702 .787 .874 .587 .327 .284 .373 .668 .887 .770 .793 .828 .590 .322 .279 .368 .669 .943 .800 .710 .714 .561 .314 .264 .353 .669 .987 .788 .578 .567 .509 .304 .240 .329 .669 1.000 .741 .445 .422 .447 .293 .210 .301 .660 .969 .677 .340 .302 .382 .288 .183 .275 .635 .886 .598 .270 .224 .321 .290 .171 .268 .592 .759 .515 .232 .184 .266 .290 .177 .284 .533 .615 .443 .222 .180 .224 r_peak,r_snr = .2283237 3.23689 Correlation Surface of oversamples image at 446 4646 3.052 3.181 3.410 3.823 4.000 3.557 3.293 3.412 3.548 3.832 3.961 3.630 3.519 3.575 3.581 3.723 3.803 3.598 3.668 3.630 3.502 3.531 3.586 3.498 3.714 3.562 3.319 3.271 3.318 3.333 446 -.188 4646 -11.781 3.23689 .025978 3.073471 .150449 Correlation Surface at 546 4646 .173 .354 .498 .731 .827 .598 .293 .164 .113 .179 .347 .494 .767 .896 .642 .299 .179 .144 .190 .341 .490 .796 .955 .690 .319 .206 .182 .205 .336 .489 .816 .993 .733 .352 .247 .224 .220 .331 .490 .825 1.000 .757 .394 .295 .267 .229 .322 .489 .820 .975 .757 .433 .341 .303 .229 .308 .485 .800 .926 .736 .460 .377 .330 .219 .291 .475 .762 .863 .702 .468 .396 .343 .200 .276 .458 .709 .790 .658 .456 .397 .342 r_peak,r_snr = .5504449 5.2892 Correlation Surface of oversamples image at 546 4646 .369 .488 .687 .872 .891 .718 .483 .303 .191 .372 .509 .729 .922 .935 .757 .517 .328 .205 .369 .522 .759 .959 .969 .789 .547 .352 .220 .360 .527 .777 .983 .991 .812 .572 .373 .235 .346 .523 .783 .991 1.000 .825 .591 .392 .252 .328 .514 .780 .987 .995 .826 .600 .407 .270 .309 .501 .770 .973 .977 .815 .601 .418 .288 .288 .486 .755 .950 .947 .791 .592 .425 .306 .268 .470 .736 .917 .906 .756 .574 .426 .322 546 -.219 4646 1.250 5.28920 .003522 .340806 -.004676 Correlation Surface at 846 4646 .002 .011 .001 .141 .553 .481 .135 .000 .002 .010 .003 .012 .262 .726 .549 .118 .000 .001 .027 .001 .036 .373 .876 .621 .111 .003 .001 .051 .012 .070 .444 .973 .674 .114 .016 .020 .075 .032 .104 .476 1.000 .682 .121 .049 .059 .083 .045 .129 .480 .959 .640 .126 .093 .101 .074 .044 .138 .464 .861 .560 .128 .121 .126 .056 .033 .132 .420 .709 .460 .128 .119 .125 .039 .024 .123 .352 .528 .360 .132 .094 .110 r_peak,r_snr = .1991278 8.60562 Correlation Surface of oversamples image at 846 4646 .130 .271 .500 .770 .883 .698 .386 .158 .049 .159 .313 .559 .835 .938 .732 .397 .158 .053 .188 .356 .616 .892 .979 .755 .403 .159 .060 .216 .397 .668 .933 1.000 .763 .404 .160 .070 .242 .437 .711 .957 1.000 .755 .397 .160 .080 .266 .472 .744 .963 .981 .735 .386 .160 .090 .290 .508 .771 .959 .956 .713 .377 .165 .104 .314 .540 .787 .941 .920 .686 .368 .170 .118 .329 .556 .777 .894 .859 .642 .351 .173 .127 846 .344 4646 5.375 8.60562 .013637 1.736360 .045051 Correlation Surface at 946 4646 .688 .602 .380 .518 .503 .194 .063 .017 .001 .651 .559 .422 .632 .636 .248 .070 .016 .004 .560 .474 .430 .727 .794 .308 .065 .010 .006 .448 .376 .410 .778 .934 .360 .049 .002 .007 .346 .293 .380 .771 1.000 .387 .029 .001 .003 r_peak,r_snr = .2404192 6.85995 Correlation Surface of oversamples image at 946 4646 16.000 15.883 12.437 8.631 7.008 15.873 15.518 12.128 8.497 6.997 15.370 14.761 11.536 8.179 6.843 14.354 13.570 10.686 7.734 6.618 12.952 12.072 9.654 7.198 6.338 946 -1.781 4646 10.219 6.85995 .008332 .496402 -.013630 Correlation Surface at 1046 4646 .426 .351 .009 .105 .094 .115 .001 .011 .026 .353 .336 .004 .026 .313 .251 .006 .003 .074 .291 .314 .001 .001 .633 .423 .016 .000 .120 .249 .273 .000 .030 .912 .554 .024 .000 .137 .234 .212 .000 .061 1.000 .569 .022 .001 .124 .245 .148 .006 .053 .853 .467 .016 .002 .092 .274 .097 .031 .020 .571 .315 .010 .001 .061 .321 .067 .079 .001 .309 .194 .010 .000 .035 .382 .061 .117 .003 .147 .129 .017 .001 .014 r_peak,r_snr = .1453573 8.44634 Correlation Surface of oversamples image at 1046 4646 .001 .000 .039 .322 .707 .698 .363 .111 .026 .002 .000 .065 .409 .846 .832 .443 .141 .032 .003 .002 .088 .476 .945 .925 .502 .162 .035 .003 .004 .105 .515 .994 .970 .534 .173 .035 .003 .006 .115 .528 1.000 .978 .546 .177 .034 .002 .006 .113 .509 .957 .943 .534 .172 .031 .001 .003 .096 .450 .856 .853 .489 .155 .025 .000 .001 .071 .369 .719 .729 .423 .133 .018 .001 .000 .048 .290 .587 .611 .363 .116 .016 1046 4.219 4646 9.281 8.44634 .007441 .313771 .010218 Correlation Surface at 1146 4646 .250 .164 .000 .024 .330 .553 .198 .008 .000 .216 .189 .028 .113 .561 .739 .211 .017 .003 .179 .195 .100 .259 .809 .877 .210 .018 .005 .151 .189 .180 .396 .980 .942 .203 .009 .003 .124 .168 .225 .434 1.000 .943 .204 .000 .000 .087 .132 .219 .346 .863 .918 .225 .010 .006 .047 .088 .173 .199 .627 .884 .267 .056 .041 .015 .048 .111 .075 .384 .827 .318 .133 .116 .001 .019 .055 .015 .201 .725 .352 .213 .223 r_peak,r_snr = .1411797 9.33458 Correlation Surface of oversamples image at 1146 4646 .055 .094 .203 .442 .720 .818 .684 .404 .123 .076 .141 .282 .556 .844 .904 .708 .396 .122 .095 .185 .352 .650 .937 .957 .707 .376 .118 .111 .220 .403 .712 .992 .980 .694 .356 .117 .121 .239 .425 .730 1.000 .970 .668 .337 .119 .120 .234 .406 .692 .947 .916 .624 .314 .120 .112 .208 .353 .606 .846 .831 .574 .295 .123 .102 .175 .287 .504 .732 .749 .541 .294 .138 .089 .134 .212 .391 .607 .661 .513 .302 .159 1146 .219 4646 2.750 9.33458 .041304 .722791 -.016630 Correlation Surface at 1246 4646 .038 .004 .028 .053 .081 .167 .005 .339 .533 .026 .023 .067 .200 .264 .176 .026 .307 .449 .004 .047 .127 .482 .568 .148 .053 .213 .328 .005 .051 .176 .787 .866 .105 .051 .090 .220 .050 .032 .178 .925 1.000 .077 .016 .007 .142 .121 .009 .132 .824 .946 .075 .002 .018 .094 .178 .001 .074 .581 .804 .105 .056 .098 .065 .187 .000 .034 .338 .664 .168 .145 .164 .051 .140 .001 .015 .168 .554 .234 .179 .148 .050 r_peak,r_snr = .1156327 7.583 Correlation Surface of oversamples image at 1246 4646 .024 .048 .135 .346 .563 .579 .422 .237 .093 .031 .063 .178 .451 .728 .722 .482 .234 .076 .035 .076 .214 .545 .874 .839 .519 .220 .060 .036 .081 .235 .607 .970 .906 .525 .197 .047 .032 .075 .233 .621 1.000 .917 .503 .172 .038 .026 .063 .211 .592 .968 .879 .465 .150 .036 .019 .047 .178 .531 .891 .809 .418 .133 .039 .013 .032 .138 .450 .783 .720 .372 .124 .049 .008 .019 .100 .363 .665 .632 .337 .127 .071 1246 -.344 4646 -2.563 7.58300 .017760 .804208 .020934 Correlation Surface at 1346 4646 .460 .546 .689 .858 .892 .781 .724 .724 .665 .450 .532 .687 .870 .922 .790 .703 .700 .652 .452 .529 .681 .869 .954 .813 .698 .683 .634 .465 .537 .671 .854 .983 .850 .711 .678 .614 .487 .554 .657 .826 1.000 .892 .741 .682 .596 .514 .575 .640 .787 .997 .932 .783 .694 .583 .542 .595 .620 .744 .972 .958 .829 .715 .576 .563 .609 .600 .704 .931 .967 .873 .739 .575 .571 .614 .585 .675 .885 .958 .907 .763 .578 r_peak,r_snr = .5743747 2.43397 Correlation Surface of oversamples image at 1346 4646 .806 .886 .928 .944 .939 .888 .807 .746 .712 .796 .880 .932 .957 .959 .911 .831 .769 .731 .781 .871 .932 .967 .975 .931 .852 .789 .749 .766 .862 .932 .977 .990 .949 .873 .810 .767 .749 .851 .929 .981 1.000 .963 .889 .828 .784 .729 .834 .919 .976 1.000 .968 .899 .840 .796 .709 .817 .905 .967 .993 .966 .903 .848 .805 .699 .808 .899 .962 .992 .969 .912 .861 .819 1346 .875 4646 3.781 2.43397 .032147 1.273891 -.184065 Correlation Surface at 1546 4646 .369 .511 .705 .873 .898 .810 .615 .492 .498 .342 .487 .709 .900 .944 .842 .639 .495 .463 .308 .438 .695 .933 .980 .859 .659 .501 .436 .274 .380 .660 .962 .999 .859 .670 .509 .422 .249 .325 .609 .973 1.000 .845 .673 .521 .426 .234 .283 .550 .955 .978 .816 .667 .535 .443 .229 .259 .494 .909 .945 .778 .656 .544 .460 .238 .257 .451 .846 .918 .743 .644 .544 .470 .264 .281 .426 .779 .909 .724 .629 .526 .467 r_peak,r_snr = .3904036 2.7937 Correlation Surface of oversamples image at 1546 4646 .475 .629 .781 .919 .975 .914 .801 .693 .586 .469 .631 .794 .938 .990 .920 .802 .693 .587 .461 .628 .800 .948 .997 .921 .799 .690 .586 .451 .619 .798 .951 1.000 .920 .796 .687 .585 .442 .609 .792 .949 1.000 .922 .797 .688 .586 .432 .595 .779 .939 .995 .921 .798 .686 .585 .421 .576 .756 .916 .978 .914 .794 .679 .576 .409 .554 .727 .887 .958 .906 .789 .670 .563 .408 .542 .708 .867 .949 .912 .799 .672 .558 1546 .438 4646 1.750 2.79370 .050144 2.482717 .144351 Correlation Surface at 1646 4646 .003 .000 .033 .134 .455 .006 .074 .020 .199 .000 .003 .047 .176 .690 .045 .070 .031 .270 .000 .014 .055 .186 .882 .128 .048 .036 .343 .001 .025 .053 .166 1.000 .257 .021 .025 .381 .008 .030 .044 .127 1.000 .400 .004 .007 .348 .026 .029 .034 .084 .846 .471 .001 .000 .249 .055 .027 .026 .043 .574 .402 .003 .015 .130 .095 .027 .022 .015 .286 .219 .018 .052 .043 .144 .030 .020 .002 .086 .056 .063 .097 .006 r_peak,r_snr = .1479045 7.84541 Correlation Surface of oversamples image at 1646 4646 3.261 .640 .198 1.917 2.937 .607 .192 1.974 2.585 .560 .186 2.002 2.140 .472 .194 2.056 1.668 .369 .204 2.079 1.251 .283 .197 1.998 .909 .219 .171 1.822 .676 .193 .117 1.519 .544 .209 .047 1.118 1646 -.594 4646 9.188 7.84541 .011503 .768367 -.060574 Correlation Surface at 1746 4646 .701 .671 .774 .971 .947 .860 .612 .543 .453 .682 .676 .759 .949 .964 .860 .610 .551 .482 .667 .678 .732 .914 .983 .852 .603 .549 .514 .658 .669 .699 .878 .998 .837 .593 .540 .549 .655 .652 .666 .848 1.000 .816 .580 .524 .585 r_peak,r_snr = .3366474 1.56972 Correlation Surface of oversamples image at 1746 4646 2.692 3.238 3.684 3.913 4.000 3.942 3.601 3.048 2.528 2.693 3.228 3.660 3.893 3.988 3.914 3.550 3.003 2.506 2.669 3.189 3.607 3.851 3.963 3.875 3.487 2.944 2.465 2.662 3.168 3.577 3.834 3.959 3.851 3.438 2.897 2.429 2.650 3.147 3.553 3.824 3.956 3.822 3.388 2.849 2.387 1746 9.063 4646 10.219 1.56972 .021075 3.017925 -.027449 Correlation Surface at 1846 4646 .031 .154 .481 .759 .863 .708 .539 .433 .257 .029 .147 .464 .787 .912 .691 .527 .425 .234 .030 .146 .437 .796 .953 .671 .507 .408 .204 .034 .150 .407 .790 .984 .655 .490 .386 .175 .039 .160 .382 .772 1.000 .649 .483 .368 .154 .045 .170 .365 .744 .995 .652 .487 .358 .144 .049 .175 .352 .706 .966 .662 .499 .355 .146 .052 .173 .337 .662 .922 .671 .506 .349 .155 .053 .166 .324 .615 .876 .675 .501 .329 .164 r_peak,r_snr = .4599295 5.20097 Correlation Surface of oversamples image at 1846 4646 .460 .614 .753 .888 .934 .827 .654 .538 .494 .447 .608 .762 .913 .960 .841 .656 .536 .493 .429 .594 .764 .931 .979 .850 .655 .530 .488 .407 .573 .758 .941 .993 .856 .652 .524 .483 .383 .548 .746 .943 1.000 .859 .649 .518 .479 .361 .523 .730 .939 .999 .855 .644 .512 .473 .341 .498 .711 .928 .990 .846 .637 .506 .466 .322 .474 .688 .908 .973 .831 .628 .500 .459 .307 .451 .662 .882 .948 .812 .620 .496 .453 1846 -.125 4646 4.250 5.20097 .004117 1.517280 -.030634 Correlation Surface at 1946 4646 .684 .798 .880 .870 .922 .950 .721 .434 .337 .677 .803 .928 .935 .961 .961 .710 .410 .321 .674 .796 .942 .974 .986 .960 .697 .393 .308 .672 .777 .925 .986 .998 .946 .678 .381 .303 .670 .753 .887 .976 1.000 .919 .650 .374 .310 .670 .743 .848 .949 .987 .876 .611 .370 .328 .681 .758 .828 .913 .959 .818 .574 .375 .358 .708 .799 .835 .875 .915 .756 .552 .391 .396 .742 .854 .862 .841 .863 .706 .550 .414 .430 r_peak,r_snr = .461421 2.16719 Correlation Surface of oversamples image at 1946 4646 .865 .895 .904 .923 .959 .963 .883 .743 .608 .870 .906 .917 .936 .974 .978 .895 .748 .603 .869 .912 .927 .948 .986 .989 .904 .751 .597 .863 .912 .933 .958 .996 .995 .907 .751 .591 .851 .905 .934 .964 1.000 .995 .903 .745 .584 .834 .892 .930 .965 .997 .985 .890 .733 .575 .815 .874 .921 .960 .987 .965 .868 .716 .566 .797 .854 .908 .951 .971 .939 .840 .697 .558 .782 .834 .893 .937 .948 .907 .809 .677 .552 1946 .719 4646 -.094 2.16719 .102560 3.743190 .352512 Correlation Surface at 2046 4646 .122 .326 .387 .437 .812 .792 .887 .573 .209 .082 .320 .354 .417 .918 .802 .912 .723 .268 .064 .314 .330 .406 .990 .788 .866 .846 .346 .060 .291 .311 .415 1.000 .736 .770 .911 .421 .059 .243 .295 .446 .941 .650 .667 .910 .469 .059 .179 .280 .491 .828 .547 .588 .852 .476 .060 .117 .262 .526 .678 .441 .536 .756 .448 .066 .078 .245 .527 .525 .346 .491 .646 .403 r_peak,r_snr = .1978669 3.49399 Correlation Surface of oversamples image at 2046 4646 .374 .361 .435 .628 .805 .807 .735 .693 .566 .374 .369 .468 .694 .877 .842 .739 .701 .594 .366 .368 .493 .754 .940 .866 .731 .692 .609 .349 .358 .507 .797 .982 .869 .704 .665 .604 .329 .342 .510 .821 1.000 .853 .664 .623 .583 .308 .324 .506 .829 .994 .819 .614 .572 .550 .293 .312 .500 .819 .961 .766 .556 .514 .508 .287 .306 .492 .792 .902 .697 .491 .453 .461 .288 .308 .484 .751 .823 .617 .425 .393 .413 2046 6.531 4646 -13.719 3.49399 .018848 1.893677 .113438 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .004 .026 .188 .439 .791 .689 .393 .231 .056 .003 .037 .237 .514 .860 .684 .357 .266 .084 .001 .060 .311 .620 .934 .684 .326 .288 .109 .000 .092 .398 .731 .990 .683 .306 .296 .123 .000 .125 .476 .802 1.000 .666 .299 .297 .123 .000 .148 .521 .805 .959 .633 .306 .293 .111 .000 .155 .519 .741 .886 .603 .329 .290 .094 .000 .146 .473 .636 .804 .589 .369 .287 .076 .000 .129 .406 .528 .738 .603 .422 .281 .059 r_peak,r_snr = .3152299 5.51526 Correlation Surface of oversamples image at 146 5046 .462 .602 .787 .963 .997 .834 .583 .384 .272 .498 .629 .800 .969 .998 .824 .565 .372 .277 .543 .664 .820 .978 1.000 .815 .549 .361 .284 .595 .706 .843 .984 .992 .797 .527 .349 .289 .651 .750 .864 .982 .973 .768 .500 .333 .290 .707 .795 .882 .973 .944 .732 .471 .318 .290 .762 .837 .896 .956 .907 .692 .441 .303 .289 146 .313 5046 -11.781 5.51526 .015343 1.026962 .070005 Correlation Surface at 346 5046 .018 .011 .025 .512 .592 .247 .041 .002 .000 .080 .012 .026 .517 .755 .298 .011 .002 .001 .143 .008 .027 .527 .897 .314 .000 .024 .008 .160 .001 .027 .523 .982 .312 .014 .068 .033 .126 .001 .030 .496 1.000 .314 .028 .106 .070 .074 .006 .037 .450 .955 .324 .027 .108 .094 .036 .013 .051 .408 .870 .341 .012 .074 .092 .018 .013 .073 .395 .765 .352 .001 .032 .069 .013 .009 .102 .416 .652 .339 .001 .006 .041 r_peak,r_snr = .1670191 9.60841 Correlation Surface of oversamples image at 346 5046 .029 .114 .380 .741 .853 .628 .257 .020 .025 .028 .116 .402 .798 .920 .666 .259 .013 .045 .027 .119 .423 .843 .970 .692 .259 .008 .064 .027 .123 .439 .869 .997 .705 .259 .006 .076 .028 .129 .449 .876 1.000 .704 .259 .006 .078 .032 .139 .459 .872 .986 .695 .260 .008 .071 .041 .158 .476 .865 .967 .690 .269 .013 .053 .054 .185 .495 .851 .940 .684 .283 .023 .032 .068 .213 .508 .821 .893 .663 .292 .034 .015 346 .875 5046 -9.719 9.60841 .010470 3.105625 -.069267 Correlation Surface at 446 5046 .192 .109 .047 .381 .754 .474 .057 .011 .041 .175 .078 .076 .545 .876 .475 .070 .000 .017 .168 .065 .079 .626 .955 .526 .107 .007 .001 .177 .071 .054 .588 .992 .628 .162 .032 .004 .199 .096 .019 .466 1.000 .768 .212 .055 .022 .224 .135 .000 .338 .994 .898 .225 .055 .037 .239 .177 .007 .254 .991 .971 .194 .032 .036 .237 .204 .024 .225 1.000 .971 .143 .009 .022 .221 .214 .031 .241 .997 .901 .104 .000 .006 r_peak,r_snr = .161997 5.07551 Correlation Surface of oversamples image at 446 5046 .005 .103 .290 .533 .736 .765 .627 .416 .191 .007 .120 .340 .632 .858 .859 .675 .433 .202 .009 .131 .376 .706 .949 .925 .706 .446 .215 .009 .133 .391 .744 .995 .957 .719 .453 .228 .007 .126 .383 .742 1.000 .958 .718 .455 .236 .005 .111 .354 .705 .967 .935 .708 .454 .243 .003 .092 .311 .642 .905 .893 .689 .451 .247 .001 .071 .260 .564 .827 .839 .662 .442 .243 .000 .049 .205 .481 .742 .776 .626 .423 .229 446 -1.313 5046 -4.750 5.07551 1.467646 40.479588 -7.649977 Correlation Surface at 546 5046 .437 .528 .682 .868 .820 .657 .531 .435 .362 .446 .536 .686 .897 .863 .661 .535 .438 .357 .444 .540 .691 .927 .918 .664 .533 .436 .361 .432 .536 .695 .955 .970 .668 .528 .430 .370 .416 .528 .693 .971 1.000 .672 .526 .422 .380 .403 .522 .687 .969 .996 .668 .524 .414 .384 .397 .526 .681 .957 .966 .658 .525 .407 .379 r_peak,r_snr = .5574577 2.71705 Correlation Surface of oversamples image at 546 5046 .401 .519 .673 .829 .931 .915 .770 .583 .452 .413 .536 .695 .857 .960 .939 .786 .596 .460 .425 .553 .716 .880 .981 .955 .799 .608 .468 .438 .571 .734 .896 .994 .962 .806 .617 .476 .455 .590 .751 .907 1.000 .965 .811 .627 .487 .474 .610 .764 .912 .999 .964 .816 .638 .499 .490 .625 .770 .906 .987 .955 .815 .644 .507 .506 .635 .767 .889 .964 .938 .807 .644 .510 .530 .652 .767 .875 .945 .928 .808 .650 .517 546 -.344 5046 13.750 2.71705 .004034 .276083 .002790 Correlation Surface at 646 5046 .806 .820 .716 .799 .805 .734 .527 .171 .031 .783 .793 .697 .806 .838 .743 .495 .155 .033 .760 .763 .689 .832 .898 .764 .457 .136 .033 .744 .732 .681 .855 .962 .790 .428 .122 .032 .735 .697 .667 .854 1.000 .807 .415 .118 .033 .730 .662 .641 .821 .994 .804 .417 .127 .039 .718 .624 .608 .762 .944 .776 .428 .152 .051 .689 .585 .573 .696 .869 .728 .438 .187 .071 .642 .548 .547 .645 .795 .672 .434 .222 .092 r_peak,r_snr = .579519 3.50314 Correlation Surface of oversamples image at 646 5046 11.596 7.531 3.550 1.448 .798 12.588 8.264 3.950 1.649 .948 13.415 8.870 4.284 1.830 1.087 14.569 9.780 4.891 2.228 1.399 646 -4.875 5046 -6.188 3.50314 .004295 .147638 -.006137 Correlation Surface at 746 5046 .006 .000 .033 .220 .433 .243 .010 .009 .009 .004 .000 .046 .302 .589 .310 .010 .019 .014 .002 .000 .061 .398 .770 .368 .008 .035 .021 .000 .001 .078 .483 .924 .404 .004 .057 .029 .000 .002 .097 .540 1.000 .407 .001 .080 .036 .000 .001 .120 .564 .982 .376 .000 .097 .039 .001 .000 .142 .566 .893 .321 .001 .102 .037 .003 .001 .161 .558 .780 .265 .002 .094 .030 .005 .002 .172 .551 .686 .220 .002 .076 .020 r_peak,r_snr = .2786518 10.3734 Correlation Surface of oversamples image at 746 5046 .025 .161 .387 .654 .837 .767 .443 .137 .014 .032 .185 .429 .712 .901 .806 .446 .127 .009 .040 .211 .468 .761 .950 .828 .435 .112 .005 .052 .240 .507 .804 .985 .834 .415 .094 .001 .065 .268 .541 .833 1.000 .821 .384 .075 .000 .079 .292 .562 .841 .987 .781 .342 .055 .001 .092 .312 .573 .835 .954 .727 .295 .037 .004 .108 .336 .589 .831 .923 .677 .256 .025 .008 .126 .359 .604 .827 .893 .631 .226 .018 .012 746 .031 5046 -4.938 10.37340 .004539 .392648 .013227 Correlation Surface at 946 5046 .033 .000 .041 .217 .341 .270 .250 .167 .335 .035 .001 .058 .291 .479 .378 .321 .181 .364 .033 .005 .079 .407 .676 .504 .363 .180 .361 .028 .011 .096 .529 .879 .607 .365 .169 .335 .025 .020 .106 .590 1.000 .650 .335 .157 .305 .024 .030 .109 .556 .973 .616 .295 .157 .282 .026 .036 .107 .456 .818 .525 .265 .178 .273 .029 .037 .102 .347 .617 .419 .256 .224 .284 .028 .034 .092 .265 .451 .335 .268 .291 .318 r_peak,r_snr = .2578734 6.67829 Correlation Surface of oversamples image at 946 5046 .011 .074 .267 .596 .765 .616 .404 .277 .186 .016 .092 .314 .679 .851 .675 .431 .280 .171 .025 .113 .362 .756 .926 .725 .452 .278 .155 .035 .135 .404 .815 .980 .760 .464 .273 .141 .045 .152 .428 .840 1.000 .773 .466 .264 .128 .053 .161 .432 .832 .986 .762 .457 .253 .118 .059 .165 .423 .803 .954 .742 .447 .248 .117 .061 .158 .395 .748 .897 .706 .433 .246 .122 .052 .134 .339 .654 .800 .643 .405 .237 .126 946 -.063 5046 2.500 6.67829 .008891 .192125 .001688 Correlation Surface at 1046 5046 .251 .200 .508 .540 .711 .674 .398 .224 .336 .258 .191 .544 .663 .793 .754 .410 .182 .282 .298 .211 .598 .812 .896 .834 .433 .167 .263 .356 .252 .647 .938 .982 .881 .471 .183 .278 .415 .309 .669 .988 1.000 .867 .509 .227 .306 .459 .376 .655 .932 .916 .776 .518 .274 .317 .488 .456 .630 .796 .749 .635 .498 .306 .297 .508 .553 .619 .636 .558 .492 .459 .314 .247 .529 .664 .631 .500 .399 .381 .412 .295 .190 r_peak,r_snr = .237812 2.41938 Correlation Surface of oversamples image at 1046 5046 .685 .833 .869 .882 .918 .939 .867 .683 .462 .688 .847 .904 .927 .957 .973 .904 .720 .484 .680 .843 .920 .955 .984 .991 .923 .740 .493 .665 .825 .919 .971 .997 .992 .923 .744 .493 .651 .806 .914 .980 1.000 .979 .907 .736 .488 .636 .783 .901 .977 .985 .946 .872 .714 .479 .617 .750 .875 .954 .949 .893 .820 .679 .462 .596 .713 .838 .916 .895 .824 .755 .635 .443 .579 .680 .801 .871 .831 .748 .686 .588 .423 1046 3.125 5046 -8.813 2.41938 .284867 .553649 .162571 Correlation Surface at 1146 5046 .029 .064 .135 .210 .314 .059 .134 .195 .351 .498 .121 .201 .224 .505 .725 .204 .244 .224 .642 .925 .274 .258 .212 .728 1.000 .299 .254 .199 .733 .916 .277 .247 .193 .653 .723 .225 .242 .184 .520 .517 .167 .234 .163 .386 .373 r_peak,r_snr = .1360623 8.08198 Correlation Surface of oversamples image at 1146 5046 .585 .598 .667 .751 .731 .579 .403 .302 .343 .611 .606 .701 .843 .855 .666 .429 .297 .328 .619 .601 .720 .910 .946 .727 .441 .287 .308 .617 .588 .722 .944 .994 .756 .442 .275 .283 .615 .579 .718 .950 1.000 .757 .435 .264 .257 .615 .573 .706 .923 .961 .726 .416 .248 .228 .616 .569 .682 .864 .879 .664 .384 .228 .196 .631 .577 .660 .793 .783 .596 .354 .213 .170 .655 .591 .635 .710 .678 .527 .328 .203 .152 1146 13.344 5046 4.844 8.08198 .025658 .799835 .036957 Correlation Surface at 1246 5046 .004 .002 .055 .441 .569 .165 .035 .003 .022 .005 .004 .057 .481 .658 .172 .034 .001 .005 .011 .001 .066 .513 .783 .223 .043 .017 .000 .023 .002 .079 .522 .915 .317 .066 .048 .010 .039 .023 .091 .493 1.000 .422 .099 .081 .020 .047 .065 .099 .423 .979 .473 .124 .095 .020 .038 .110 .105 .332 .851 .436 .122 .082 .011 .018 .134 .117 .252 .666 .336 .091 .054 .003 .003 .130 .137 .207 .485 .223 .052 .029 .000 r_peak,r_snr = .2169166 9.65727 Correlation Surface of oversamples image at 1246 5046 .075 .268 .554 .807 .824 .526 .182 .032 .004 .070 .251 .542 .826 .880 .589 .221 .046 .008 .068 .238 .532 .845 .937 .658 .268 .064 .013 .069 .228 .521 .856 .982 .719 .314 .085 .021 .071 .217 .502 .848 1.000 .758 .351 .105 .029 .076 .208 .478 .824 .992 .772 .373 .120 .037 .087 .207 .460 .796 .970 .770 .386 .134 .045 .102 .208 .440 .755 .922 .740 .380 .139 .051 .115 .203 .405 .685 .833 .666 .343 .128 .049 1246 -.063 5046 2.469 9.65727 .010968 .677737 -.055178 Correlation Surface at 1346 5046 .784 .783 .840 .952 .824 .559 .381 .260 .207 .812 .774 .832 .939 .856 .590 .388 .277 .239 .840 .771 .817 .933 .907 .625 .395 .295 .275 .865 .784 .805 .933 .963 .655 .402 .313 .303 .888 .817 .807 .938 1.000 .671 .409 .332 .318 .901 .863 .825 .940 .998 .670 .420 .353 .317 .901 .913 .856 .934 .955 .659 .437 .379 .310 .887 .955 .891 .919 .894 .642 .460 .412 .306 .862 .983 .922 .904 .838 .622 .486 .450 .307 r_peak,r_snr = .4560098 2.52725 Correlation Surface of oversamples image at 1346 5046 .802 .863 .927 .969 .955 .856 .707 .557 .437 .804 .865 .929 .976 .969 .877 .729 .574 .450 .806 .863 .928 .980 .983 .899 .749 .589 .463 .810 .861 .924 .982 .994 .917 .765 .601 .474 .817 .860 .919 .980 1.000 .928 .775 .609 .482 .825 .859 .910 .973 .998 .929 .776 .611 .489 .834 .856 .900 .959 .985 .919 .768 .608 .493 .843 .855 .888 .941 .963 .896 .750 .599 .494 .857 .858 .880 .922 .936 .867 .729 .590 .496 1346 1.281 5046 -5.781 2.52725 .006622 .473283 -.003464 Correlation Surface at 1446 5046 .091 .270 .420 .653 .901 .744 .500 .439 .267 .096 .261 .412 .675 .919 .712 .474 .405 .248 .106 .257 .416 .713 .948 .682 .447 .373 .241 .117 .253 .429 .763 .980 .661 .433 .359 .249 .127 .246 .443 .810 1.000 .646 .436 .368 .273 .135 .238 .448 .834 .989 .631 .450 .395 .306 .136 .229 .443 .817 .934 .605 .464 .429 .336 .132 .220 .428 .758 .845 .570 .469 .459 .355 .124 .215 .406 .672 .742 .533 .464 .485 .363 r_peak,r_snr = .4509474 4.4995 Correlation Surface of oversamples image at 1446 5046 .368 .482 .640 .802 .918 .931 .809 .623 .505 .360 .484 .655 .825 .943 .953 .823 .629 .508 .353 .485 .669 .848 .968 .975 .836 .633 .511 .345 .486 .681 .868 .989 .991 .844 .634 .512 .337 .484 .689 .881 1.000 .997 .843 .631 .512 .329 .480 .690 .884 .999 .990 .833 .623 .508 .321 .473 .685 .878 .988 .974 .816 .610 .501 .314 .465 .674 .862 .965 .946 .792 .593 .490 .307 .453 .655 .834 .927 .905 .758 .570 .473 1446 -.250 5046 2.500 4.49950 .006315 .844341 .043547 Correlation Surface at 1546 5046 .003 .003 .040 .201 .612 .451 .226 .155 .080 .003 .006 .074 .302 .759 .455 .200 .145 .087 .003 .009 .111 .431 .891 .436 .179 .144 .105 .003 .011 .148 .576 .980 .390 .160 .150 .133 .001 .011 .175 .706 1.000 .326 .140 .155 .163 .000 .008 .183 .775 .947 .264 .119 .147 .177 .001 .005 .164 .754 .844 .217 .098 .126 .163 .006 .003 .133 .649 .710 .184 .078 .093 .123 .011 .003 .103 .497 .558 .153 .059 .059 .073 r_peak,r_snr = .2532731 12.23042 Correlation Surface of oversamples image at 1546 5046 .000 .018 .132 .416 .768 .899 .725 .429 .219 .000 .030 .172 .489 .850 .948 .726 .404 .193 .001 .043 .212 .558 .917 .975 .709 .370 .166 .003 .058 .251 .620 .970 .985 .680 .334 .142 .005 .070 .283 .665 1.000 .972 .639 .297 .120 .006 .077 .300 .686 .998 .932 .583 .256 .099 .006 .080 .306 .685 .973 .877 .524 .218 .081 .007 .082 .306 .673 .937 .823 .474 .192 .071 .008 .082 .296 .642 .884 .763 .429 .170 .065 1546 -.281 5046 -.031 12.23043 .018201 1.178812 .122445 Correlation Surface at 1646 5046 .081 .136 .206 .203 .372 .556 .346 .153 .021 .084 .177 .264 .280 .605 .756 .400 .160 .042 .079 .197 .301 .355 .834 .893 .395 .141 .059 .066 .184 .302 .405 .981 .925 .335 .100 .059 .044 .140 .269 .417 1.000 .845 .241 .050 .036 .022 .082 .218 .400 .899 .688 .146 .012 .008 .008 .040 .171 .378 .730 .509 .073 .000 .001 .003 .020 .144 .370 .567 .355 .028 .010 .018 .003 .020 .147 .389 .452 .243 .008 .028 .047 r_peak,r_snr = .1992434 9.02343 Correlation Surface of oversamples image at 1646 5046 .201 .267 .414 .645 .834 .850 .703 .476 .268 .212 .293 .462 .715 .912 .913 .734 .483 .266 .209 .301 .491 .763 .968 .954 .750 .479 .257 .192 .293 .498 .786 .997 .977 .753 .468 .244 .168 .272 .484 .781 1.000 .979 .746 .455 .233 .139 .242 .454 .753 .980 .964 .730 .439 .222 .110 .208 .412 .707 .939 .933 .706 .421 .210 .083 .174 .364 .645 .878 .886 .673 .398 .195 .064 .148 .323 .583 .812 .836 .640 .378 .183 1646 1.219 5046 -9.781 9.02343 .019048 .595662 .049779 Correlation Surface at 1746 5046 .275 .381 .612 .894 .970 .823 .651 .573 .486 .287 .384 .587 .879 .986 .812 .612 .549 .483 .282 .386 .564 .848 .993 .810 .583 .524 .478 .264 .385 .553 .811 .998 .826 .567 .498 .465 .240 .383 .556 .782 1.000 .858 .564 .471 .444 .217 .379 .569 .763 .991 .893 .566 .443 .413 .201 .374 .584 .753 .969 .913 .569 .417 .381 .193 .368 .592 .744 .938 .906 .567 .399 .359 .191 .360 .584 .731 .900 .866 .555 .386 .352 r_peak,r_snr = .5538961 3.49188 Correlation Surface of oversamples image at 1746 5046 .602 .726 .858 .954 .954 .844 .680 .542 .474 .592 .713 .849 .956 .973 .874 .702 .546 .464 .587 .705 .840 .954 .987 .899 .722 .550 .453 .590 .703 .835 .951 .997 .919 .739 .556 .445 .596 .705 .831 .947 1.000 .931 .752 .561 .439 .602 .706 .824 .937 .993 .929 .755 .562 .433 .606 .703 .812 .919 .974 .914 .746 .558 .425 .611 .704 .805 .905 .955 .895 .735 .554 .421 1746 .469 5046 8.781 3.49188 .039027 4.729897 -.405408 Correlation Surface at 1846 5046 .174 .267 .393 .597 .790 .735 .554 .510 .490 .164 .253 .390 .615 .857 .800 .586 .525 .482 .161 .246 .394 .640 .925 .868 .628 .551 .475 .165 .246 .404 .667 .976 .924 .665 .578 .467 .174 .250 .415 .688 1.000 .949 .682 .593 .451 .185 .255 .423 .703 .999 .942 .673 .584 .425 .195 .261 .426 .712 .983 .915 .641 .550 .391 .200 .266 .424 .715 .961 .884 .596 .492 .352 .200 .270 .417 .708 .941 .868 .555 .428 .318 r_peak,r_snr = .5059829 3.54538 Correlation Surface of oversamples image at 1846 5046 .391 .494 .639 .813 .928 .923 .836 .735 .665 .389 .501 .658 .840 .955 .941 .846 .739 .665 .389 .508 .676 .864 .975 .952 .851 .740 .661 .392 .517 .693 .884 .991 .961 .854 .739 .655 .395 .525 .707 .898 1.000 .965 .855 .736 .646 .396 .528 .713 .901 .998 .962 .852 .729 .633 .397 .528 .711 .894 .987 .953 .845 .720 .615 .401 .529 .708 .883 .975 .948 .845 .715 .602 1846 .125 5046 -1.219 3.54538 .005670 .793780 .013182 Correlation Surface at 2046 5046 .003 .001 .010 .012 .070 .137 .049 .016 .007 .001 .001 .026 .252 .304 .040 .044 .017 .018 .000 .057 .536 .478 .039 .096 .033 .059 .002 .113 .830 .544 .046 .178 .048 .111 .018 .193 1.000 .446 .060 .279 .048 .120 .061 .259 .959 .247 .070 .370 .027 .066 .119 .265 .749 .078 .063 .418 .006 .009 .154 .203 .481 .005 .038 .402 .001 .006 .141 .107 .262 .007 .012 .332 r_peak,r_snr = .111565 8.97201 Correlation Surface of oversamples image at 2046 5046 .008 .025 .107 .322 .630 .819 .650 .339 .169 .005 .039 .169 .445 .762 .870 .618 .313 .185 .004 .058 .247 .584 .882 .877 .553 .277 .200 .004 .082 .335 .725 .968 .832 .457 .226 .205 .006 .109 .421 .843 1.000 .729 .333 .160 .189 .011 .137 .495 .927 .981 .594 .208 .092 .157 .022 .168 .556 .980 .933 .462 .110 .041 .122 .038 .191 .580 .979 .850 .337 .042 .009 .085 .050 .185 .538 .894 .713 .211 .004 .001 .042 2046 10.813 5046 8.969 8.97201 .028042 .866129 .110546 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .262 .298 .343 .634 .976 .712 .474 .466 .514 .267 .313 .350 .632 .976 .738 .491 .447 .512 .268 .320 .356 .635 .985 .762 .488 .414 .497 .269 .319 .358 .638 .995 .782 .474 .380 .473 .273 .315 .353 .636 1.000 .796 .461 .354 .443 .281 .313 .343 .624 .995 .803 .456 .342 .415 .287 .318 .333 .598 .974 .804 .465 .349 .394 .285 .329 .325 .566 .945 .800 .486 .373 .378 .272 .334 .317 .537 .914 .787 .513 .401 .364 r_peak,r_snr = .4520503 3.90316 Correlation Surface of oversamples image at 146 5446 .344 .449 .600 .801 .967 .961 .810 .649 .554 .335 .442 .596 .806 .980 .976 .823 .657 .552 .326 .434 .592 .809 .990 .987 .833 .663 .549 .316 .424 .587 .811 .996 .994 .839 .667 .545 .309 .416 .582 .813 1.000 .997 .845 .673 .544 .303 .408 .577 .813 1.000 .997 .849 .679 .547 .297 .399 .567 .805 .991 .988 .845 .682 .549 .290 .386 .553 .790 .973 .971 .834 .679 .550 .290 .382 .548 .784 .964 .960 .829 .683 .560 146 .250 5446 2.750 3.90316 .005753 6.530154 -.113720 Correlation Surface at 246 5446 .043 .050 .039 .301 .271 .051 .032 .081 .032 .027 .092 .059 .407 .460 .075 .063 .109 .051 .022 .129 .077 .507 .695 .137 .112 .145 .078 .024 .147 .093 .569 .900 .230 .165 .189 .114 .029 .142 .105 .566 1.000 .321 .205 .231 .152 .033 .126 .116 .508 .983 .382 .224 .255 .179 .032 .104 .123 .430 .899 .404 .224 .255 .193 .030 .082 .126 .371 .832 .407 .220 .244 .202 .030 .059 .123 .359 .832 .421 .228 .246 .220 r_peak,r_snr = .1674339 6.44268 Correlation Surface of oversamples image at 246 5446 .003 .034 .282 .655 .692 .410 .177 .112 .136 .002 .035 .301 .731 .802 .486 .212 .129 .144 .003 .037 .319 .791 .892 .556 .249 .147 .151 .005 .044 .339 .839 .963 .617 .286 .165 .160 .008 .053 .354 .861 1.000 .658 .315 .180 .168 .012 .060 .353 .844 .987 .661 .323 .184 .169 .016 .066 .343 .802 .941 .639 .318 .180 .166 .026 .079 .342 .767 .900 .620 .314 .181 .171 .038 .094 .342 .732 .857 .597 .307 .180 .177 246 -.125 5446 2.156 6.44268 .014988 .971786 -.069260 Correlation Surface at 346 5446 .259 .019 .020 .318 .232 .018 .057 .076 .027 .303 .115 .108 .467 .423 .069 .046 .023 .008 .311 .261 .235 .609 .652 .151 .023 .000 .000 .291 .372 .314 .691 .871 .250 .004 .012 .004 .257 .389 .289 .666 1.000 .327 .000 .035 .012 .219 .323 .192 .544 .977 .347 .007 .043 .012 .176 .224 .093 .372 .789 .305 .010 .030 .005 .132 .134 .034 .207 .496 .226 .003 .010 .000 .085 .071 .010 .084 .212 .139 .002 .000 .004 r_peak,r_snr = .1401675 12.07103 Correlation Surface of oversamples image at 346 5446 .531 .753 .883 .865 .820 .636 .241 .007 .070 .475 .702 .888 .920 .895 .704 .270 .006 .091 .391 .616 .857 .948 .946 .746 .282 .004 .116 .310 .529 .819 .971 .994 .778 .288 .003 .132 .233 .440 .760 .962 1.000 .772 .277 .001 .139 .149 .328 .645 .869 .910 .680 .225 .000 .149 .075 .214 .498 .716 .745 .528 .152 .002 .161 .048 .165 .422 .619 .623 .417 .112 .002 .126 346 -6.125 5446 4.813 12.07103 .023072 .860026 -.071653 Correlation Surface at 446 5446 .046 .050 .059 .286 .758 .647 .360 .425 .541 .059 .057 .073 .364 .831 .614 .362 .456 .546 .076 .067 .097 .461 .912 .588 .367 .441 .487 .099 .076 .122 .548 .975 .588 .381 .380 .384 .122 .082 .141 .598 1.000 .620 .411 .306 .278 .143 .082 .153 .600 .963 .666 .454 .248 .199 .158 .080 .165 .566 .875 .714 .501 .222 .157 .165 .083 .189 .523 .767 .745 .539 .225 .148 .164 .095 .237 .496 .667 .743 .555 .244 .161 r_peak,r_snr = .2837361 4.93873 Correlation Surface of oversamples image at 446 5446 .079 .178 .403 .718 .928 .897 .718 .498 .326 .080 .192 .437 .762 .959 .908 .721 .506 .343 .085 .213 .477 .806 .981 .904 .709 .506 .358 .095 .238 .520 .850 .996 .891 .691 .504 .375 .108 .266 .563 .887 1.000 .868 .670 .503 .394 .123 .294 .602 .913 .989 .836 .645 .503 .410 .140 .323 .636 .929 .969 .800 .625 .508 .429 .159 .352 .667 .937 .946 .770 .615 .524 .453 .181 .380 .693 .937 .919 .746 .617 .551 .480 446 -.094 5446 -1.750 4.93873 .006914 .855452 -.008174 Correlation Surface at 546 5446 .242 .254 .391 .535 .671 .657 .526 .342 .266 .229 .257 .408 .588 .770 .742 .556 .338 .250 .222 .267 .434 .655 .877 .829 .586 .341 .246 .222 .284 .464 .720 .960 .891 .605 .345 .254 .231 .304 .492 .767 1.000 .915 .606 .347 .272 .248 .324 .510 .787 .993 .904 .591 .345 .294 .268 .339 .515 .778 .954 .874 .565 .340 .313 .286 .344 .508 .754 .903 .841 .537 .335 .324 .295 .337 .493 .725 .859 .818 .520 .335 .325 r_peak,r_snr = .5014295 3.04541 Correlation Surface of oversamples image at 546 5446 .369 .463 .608 .789 .923 .917 .775 .586 .424 .377 .480 .636 .821 .953 .941 .792 .598 .431 .385 .497 .660 .846 .974 .956 .802 .605 .436 .394 .514 .684 .870 .991 .966 .807 .610 .442 .403 .529 .704 .887 1.000 .967 .807 .614 .448 .408 .539 .715 .891 .994 .955 .797 .610 .449 .410 .544 .719 .887 .978 .935 .781 .601 .448 .414 .550 .724 .882 .962 .916 .767 .596 .448 .417 .555 .727 .876 .946 .898 .756 .592 .449 546 .156 5446 4.000 3.04541 .007876 .243580 .012956 Correlation Surface at 646 5446 .284 .394 .571 .548 .510 .269 .177 .247 .194 .245 .359 .639 .707 .697 .357 .235 .334 .250 .238 .349 .685 .854 .866 .454 .288 .395 .280 .255 .363 .701 .939 .965 .531 .316 .399 .276 .283 .401 .692 .956 1.000 .564 .307 .339 .243 .300 .445 .650 .914 .978 .541 .261 .247 .194 .302 .480 .577 .821 .910 .474 .195 .160 .145 .300 .493 .482 .684 .803 .386 .130 .096 .103 .308 .488 .385 .522 .661 .295 .080 .060 .071 r_peak,r_snr = .2415887 4.66435 Correlation Surface of oversamples image at 646 5446 .392 .596 .731 .810 .826 .698 .480 .364 .425 .403 .639 .802 .896 .913 .786 .561 .431 .469 .400 .654 .838 .947 .965 .841 .613 .467 .470 .398 .656 .855 .978 .998 .877 .647 .482 .447 .392 .641 .843 .976 1.000 .884 .655 .471 .400 .359 .582 .771 .902 .932 .828 .610 .416 .318 .297 .481 .644 .767 .805 .721 .524 .331 .221 .263 .411 .549 .666 .716 .655 .475 .280 .163 646 -.156 5446 -7.219 4.66435 .022590 1.520411 -.030061 Correlation Surface at 746 5446 .003 .086 .329 .730 .773 .401 .107 .009 .001 .003 .075 .346 .825 .827 .396 .118 .014 .001 .002 .056 .345 .911 .895 .400 .128 .019 .001 .001 .036 .325 .971 .961 .408 .135 .021 .001 .000 .021 .291 .990 1.000 .409 .138 .021 .003 .000 .012 .253 .966 .995 .394 .137 .020 .004 .000 .008 .223 .913 .953 .367 .131 .020 .004 .000 .008 .208 .845 .891 .341 .124 .021 .004 .000 .010 .204 .778 .831 .328 .120 .023 .002 r_peak,r_snr = .2976877 7.83495 Correlation Surface of oversamples image at 746 5446 .169 .340 .572 .790 .887 .791 .560 .326 .168 .146 .313 .560 .814 .940 .841 .583 .327 .162 .124 .284 .539 .823 .976 .877 .599 .326 .155 .105 .254 .513 .818 .993 .896 .604 .321 .149 .091 .232 .491 .810 1.000 .904 .606 .318 .147 .083 .215 .471 .796 .993 .900 .602 .315 .147 .074 .197 .444 .763 .958 .871 .582 .304 .144 .066 .179 .411 .715 .900 .820 .550 .290 .140 .068 .177 .400 .687 .863 .789 .538 .292 .148 746 -.406 5446 -3.250 7.83495 .008290 1.464297 .009336 Correlation Surface at 846 5446 .076 .146 .320 .631 .627 .409 .314 .292 .243 .075 .143 .400 .750 .733 .431 .261 .229 .254 .082 .139 .467 .837 .847 .438 .193 .162 .246 .093 .140 .521 .866 .945 .435 .131 .102 .214 .101 .147 .562 .845 1.000 .430 .085 .054 .163 .104 .162 .589 .802 .991 .414 .057 .022 .110 .105 .190 .593 .758 .914 .375 .041 .007 .071 .108 .226 .568 .705 .785 .322 .035 .002 .054 .113 .257 .506 .618 .618 .256 .031 .001 .056 r_peak,r_snr = .1692926 4.86524 Correlation Surface of oversamples image at 846 5446 .392 .558 .683 .796 .798 .579 .255 .063 .009 .432 .604 .732 .862 .878 .634 .262 .049 .002 .475 .653 .781 .922 .950 .685 .273 .043 .000 .511 .693 .814 .956 .990 .715 .279 .038 .001 .540 .725 .835 .966 1.000 .725 .282 .036 .002 .575 .764 .860 .969 .994 .727 .291 .039 .002 .600 .792 .872 .950 .957 .707 .294 .045 .001 .590 .779 .840 .880 .865 .641 .274 .046 .000 .556 .736 .777 .779 .740 .546 .239 .042 .000 846 .844 5446 -3.156 4.86524 .022267 2.909318 -.034431 Correlation Surface at 946 5446 .413 .070 .009 .287 .509 .106 .001 .029 .248 .465 .081 .022 .349 .728 .240 .019 .013 .213 .415 .054 .045 .390 .906 .359 .051 .006 .178 .285 .015 .074 .399 .994 .412 .080 .002 .143 .145 .000 .099 .382 1.000 .401 .090 .001 .116 .055 .013 .112 .349 .921 .344 .075 .002 .098 .018 .027 .111 .298 .759 .272 .046 .006 .099 .011 .023 .097 .235 .537 .204 .017 .021 .133 .017 .009 .076 .177 .312 .141 .001 .062 .210 r_peak,r_snr = .1274354 7.93902 Correlation Surface of oversamples image at 946 5446 .014 .008 .215 .512 .604 .513 .300 .084 .003 .060 .345 .649 .705 .571 .336 .114 .057 .176 .520 .802 .812 .640 .383 .159 .179 .347 .708 .935 .895 .693 .423 .207 .339 .534 .858 1.000 .912 .695 .427 .236 .505 .704 .951 .998 .875 .659 .406 .247 .669 .848 .994 .954 .817 .618 .387 .259 .785 .917 .948 .837 .710 .551 .354 .253 .783 .853 .775 .623 .530 .426 .276 .200 946 -12.688 5446 .969 7.93902 .014759 3.195534 .015947 Correlation Surface at 1046 5446 .255 .244 .159 .314 .481 .343 .212 .223 .196 .168 .369 .608 .470 .215 .170 .137 .165 .423 .762 .615 .218 .117 .085 .144 .455 .912 .738 .221 .082 .056 .113 .449 1.000 .791 .218 .067 .047 .088 .410 .978 .754 .210 .070 .057 .080 .357 .847 .644 .200 .091 .086 .091 .308 .660 .501 .196 .127 .132 .121 .271 .477 .371 .204 r_peak,r_snr = .2724671 5.55858 Correlation Surface of oversamples image at 1046 5446 .155 .243 .412 .637 .788 .775 .621 .416 .255 .161 .255 .442 .696 .866 .849 .671 .438 .259 .163 .262 .466 .748 .936 .912 .713 .459 .267 .161 .262 .477 .781 .985 .955 .738 .473 .277 .155 .252 .473 .789 1.000 .963 .738 .473 .282 .145 .235 .453 .770 .979 .936 .713 .461 .282 .135 .215 .425 .734 .932 .886 .676 .445 .284 .126 .194 .390 .680 .858 .810 .621 .422 .283 .116 .169 .342 .601 .749 .700 .541 .382 .272 1046 12.188 5446 .406 5.55858 .007665 .299652 -.008311 Correlation Surface at 1146 5446 .471 .510 .366 .273 .074 .055 .484 .654 .479 .303 .074 .055 .507 .822 .581 .327 .083 .063 .538 .954 .619 .321 .092 .073 .567 1.000 .570 .285 .100 .082 .582 .959 .461 .234 .112 .091 .581 .868 .352 .188 .131 .104 .568 .778 .288 .162 .160 .123 .561 .731 .285 .165 .199 .148 r_peak,r_snr = .2152665 3.05062 Correlation Surface of oversamples image at 1146 5446 .077 .176 .411 .654 .698 .611 .532 .449 .274 .055 .152 .422 .735 .812 .695 .564 .444 .266 .038 .131 .429 .804 .903 .748 .564 .415 .245 .027 .116 .436 .862 .965 .766 .535 .370 .217 .023 .109 .447 .906 1.000 .755 .489 .320 .188 .021 .106 .455 .927 .997 .710 .424 .265 .158 .021 .105 .455 .915 .946 .626 .339 .200 .121 .024 .108 .453 .879 .864 .524 .253 .139 .085 .033 .123 .460 .845 .787 .440 .189 .097 .062 1146 -14.188 5446 -4.156 3.05062 .015810 .973011 .073384 Correlation Surface at 1246 5446 .318 .274 .224 .260 .531 .509 .478 .385 .453 .340 .293 .268 .343 .699 .621 .526 .370 .418 .334 .287 .306 .442 .866 .742 .565 .364 .410 .308 .264 .329 .529 .979 .840 .582 .368 .430 .279 .242 .333 .575 1.000 .878 .569 .379 .467 .259 .234 .320 .564 .930 .844 .527 .393 .497 .250 .242 .300 .505 .806 .755 .470 .406 .497 .247 .266 .285 .424 .669 .640 .411 .410 .462 .243 .300 .281 .343 .546 .528 .363 .401 .405 r_peak,r_snr = .2893386 3.08857 Correlation Surface of oversamples image at 1246 5446 .269 .399 .606 .779 .776 .632 .450 .287 .193 .291 .441 .673 .869 .873 .713 .498 .303 .195 .304 .470 .720 .933 .949 .781 .538 .314 .196 .307 .484 .742 .963 .992 .827 .564 .318 .196 .301 .483 .738 .958 1.000 .845 .574 .315 .193 .287 .467 .710 .922 .976 .838 .567 .305 .190 .266 .437 .662 .860 .924 .805 .544 .291 .187 .245 .402 .605 .785 .854 .755 .511 .274 .186 .224 .364 .544 .704 .774 .692 .471 .258 .187 1246 -1.656 5446 1.781 3.08857 .012040 .377687 .007674 Correlation Surface at 1346 5446 .017 .091 .260 .536 .747 .829 .366 .186 .159 .051 .113 .253 .559 .841 .894 .365 .142 .108 .111 .131 .232 .579 .919 .932 .362 .115 .078 .181 .137 .206 .599 .973 .943 .371 .110 .073 .229 .127 .185 .617 1.000 .937 .400 .128 .091 .234 .111 .182 .632 .996 .915 .451 .172 .135 .198 .098 .203 .642 .947 .868 .512 .238 .200 .145 .094 .253 .638 .838 .796 .570 .317 .277 .103 .108 .332 .607 .680 .719 .619 .397 .350 r_peak,r_snr = .2535862 4.58253 Correlation Surface of oversamples image at 1346 5446 .473 .553 .629 .757 .880 .847 .622 .342 .159 .455 .569 .674 .813 .926 .871 .627 .338 .157 .433 .582 .717 .864 .962 .887 .630 .340 .162 .411 .592 .755 .907 .987 .894 .633 .349 .177 .389 .598 .786 .938 1.000 .894 .637 .366 .200 .368 .599 .806 .953 .997 .884 .641 .389 .231 .346 .591 .807 .946 .976 .864 .643 .416 .269 .326 .574 .790 .918 .938 .836 .644 .446 .312 .314 .557 .765 .880 .896 .809 .649 .481 .360 1346 -.563 5446 5.781 4.58253 .030203 4.609981 .178879 Correlation Surface at 1446 5446 .008 .000 .022 .240 .618 .384 .043 .012 .012 .000 .001 .035 .347 .767 .412 .065 .001 .002 .000 .004 .049 .457 .896 .422 .074 .001 .001 .000 .004 .069 .552 .976 .422 .074 .006 .009 .001 .003 .093 .612 1.000 .431 .078 .017 .025 .008 .002 .114 .617 .982 .459 .099 .034 .043 .021 .001 .125 .567 .943 .515 .145 .061 .057 .036 .001 .123 .487 .893 .594 .219 .094 .060 .049 .002 .108 .391 .832 .679 .308 .129 .058 r_peak,r_snr = .2129597 8.63798 Correlation Surface of oversamples image at 1446 5446 .879 1.873 3.049 3.648 3.337 2.427 1.520 .885 .511 .829 1.735 2.885 3.593 3.442 2.624 1.704 .998 .568 .753 1.562 2.679 3.497 3.518 2.807 1.879 1.095 .606 .722 1.459 2.569 3.517 3.709 3.094 2.137 1.250 .686 1446 .406 5446 4.813 8.63798 .008674 3.965029 .026510 Correlation Surface at 1646 5446 .527 .715 .464 .477 .623 .581 .420 .413 .313 .571 .774 .498 .567 .727 .614 .457 .455 .325 .584 .807 .543 .674 .847 .641 .489 .485 .335 .563 .796 .583 .768 .949 .658 .508 .498 .338 .516 .736 .602 .820 1.000 .660 .500 .492 .330 .454 .634 .590 .817 .990 .639 .465 .470 .314 .385 .515 .548 .770 .936 .594 .412 .442 .297 .314 .402 .492 .710 .867 .532 .359 .417 .285 .247 .312 .438 .672 .812 .464 .317 .406 .288 r_peak,r_snr = .3307257 3.23305 Correlation Surface of oversamples image at 1646 5446 .714 .572 .589 .752 .892 .834 .661 .544 .494 .749 .625 .649 .811 .941 .869 .681 .552 .493 .776 .676 .706 .861 .977 .894 .698 .558 .490 .791 .721 .757 .899 .999 .908 .708 .560 .483 .789 .754 .795 .920 1.000 .904 .706 .553 .467 .773 .772 .819 .925 .985 .888 .695 .538 .446 .750 .782 .836 .924 .967 .871 .684 .524 .429 .718 .779 .842 .917 .949 .857 .675 .513 .415 .672 .756 .828 .894 .922 .835 .657 .494 .395 1646 .531 5446 -9.781 3.23305 .010634 .560051 .021786 Correlation Surface at 1746 5446 .643 .765 .850 .911 .926 .815 .702 .623 .585 .633 .741 .838 .928 .952 .848 .716 .632 .597 .630 .713 .820 .935 .977 .888 .735 .649 .623 .639 .686 .800 .934 .994 .924 .757 .670 .661 .657 .664 .782 .927 1.000 .948 .777 .689 .701 .679 .651 .770 .915 .994 .952 .787 .701 .730 .698 .646 .764 .901 .980 .937 .789 .705 .741 .714 .651 .764 .883 .960 .912 .786 .703 .733 .725 .662 .759 .856 .930 .877 .776 .700 .713 r_peak,r_snr = .666008 1.55167 Correlation Surface of oversamples image at 1746 5446 .849 .901 .936 .948 .940 .914 .857 .777 .717 .847 .904 .944 .963 .961 .938 .878 .793 .728 .846 .907 .953 .977 .980 .959 .895 .805 .738 .843 .907 .958 .987 .994 .973 .906 .813 .746 .837 .903 .957 .990 1.000 .978 .909 .816 .750 .828 .896 .951 .986 .997 .975 .905 .814 .750 .821 .889 .945 .980 .991 .966 .898 .810 .751 .815 .883 .938 .972 .980 .953 .886 .804 .751 .804 .870 .924 .955 .960 .931 .867 .793 .747 1746 2.469 5446 9.531 1.55167 .023515 1.168548 -.118888 Correlation Surface at 1846 5446 .401 .505 .634 .751 .851 .842 .748 .607 .496 .394 .490 .628 .781 .898 .869 .765 .618 .503 .387 .478 .628 .816 .946 .897 .790 .640 .519 .384 .473 .634 .846 .983 .920 .816 .671 .541 .392 .483 .649 .865 1.000 .934 .841 .706 .570 .413 .510 .668 .864 .991 .940 .861 .741 .604 .445 .549 .685 .842 .957 .940 .878 .769 .639 .486 .590 .695 .809 .917 .940 .891 .788 .672 .525 .624 .696 .774 .883 .943 .903 .798 .695 r_peak,r_snr = .6636397 1.97935 Correlation Surface of oversamples image at 1846 5446 .716 .795 .884 .955 .975 .954 .917 .868 .800 .724 .811 .903 .971 .986 .960 .921 .873 .807 .733 .825 .919 .984 .995 .964 .924 .878 .816 .742 .838 .932 .993 .999 .966 .925 .883 .826 .750 .848 .940 .998 1.000 .964 .924 .887 .836 .756 .854 .944 .997 .996 .960 .923 .891 .845 .761 .856 .942 .990 .988 .954 .920 .894 .852 .763 .854 .934 .978 .976 .946 .917 .896 .858 .763 .848 .921 .962 .962 .938 .915 .898 .863 1846 .281 5446 -.781 1.97935 .005333 .194201 -.000523 Correlation Surface at 1946 5446 .085 .153 .222 .441 .637 .592 .299 .178 .143 .064 .125 .206 .477 .747 .671 .321 .190 .140 .048 .102 .191 .515 .861 .741 .334 .193 .128 .037 .087 .182 .552 .953 .787 .333 .184 .110 .032 .082 .186 .589 1.000 .797 .317 .163 .088 .031 .084 .203 .623 .996 .770 .292 .135 .067 .033 .091 .230 .648 .949 .714 .262 .107 .049 .038 .101 .261 .656 .875 .643 .234 .085 .035 .045 .114 .288 .639 .785 .567 .210 .070 .026 r_peak,r_snr = .3993045 6.72829 Correlation Surface of oversamples image at 1946 5446 .210 .367 .614 .853 .947 .840 .614 .392 .250 .217 .380 .635 .882 .974 .858 .623 .393 .244 .225 .393 .654 .904 .992 .868 .627 .392 .236 .234 .406 .671 .919 .999 .869 .626 .388 .228 .245 .421 .687 .929 1.000 .865 .621 .383 .220 .254 .435 .698 .932 .993 .854 .613 .377 .212 .260 .442 .699 .921 .973 .832 .595 .364 .200 .262 .442 .690 .896 .938 .798 .569 .346 .187 .269 .448 .685 .876 .909 .771 .549 .335 .180 1946 -.094 5446 3.750 6.72829 .005415 .450627 .019830 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .035 .120 .317 .551 .772 .745 .486 .213 .096 .040 .113 .315 .612 .864 .787 .550 .253 .103 .047 .110 .312 .671 .942 .811 .610 .298 .113 .056 .113 .313 .711 .989 .819 .652 .331 .120 .065 .121 .317 .722 1.000 .818 .665 .340 .122 .072 .127 .321 .711 .983 .813 .645 .325 .118 .071 .124 .318 .685 .955 .804 .596 .297 .112 .059 .108 .303 .650 .927 .777 .522 .270 .110 .040 .082 .281 .619 .914 .736 .444 .255 .115 r_peak,r_snr = .3585495 5.91672 Correlation Surface of oversamples image at 146 5846 .329 .500 .687 .847 .918 .873 .763 .652 .529 .336 .518 .717 .884 .951 .895 .777 .671 .560 .343 .532 .739 .912 .977 .910 .786 .685 .586 .349 .542 .754 .930 .993 .919 .790 .693 .604 .353 .547 .761 .938 1.000 .921 .790 .695 .613 .352 .546 .759 .936 .998 .918 .786 .691 .613 .347 .538 .749 .924 .987 .910 .779 .684 .605 .339 .526 .733 .908 .973 .901 .773 .674 .594 .328 .511 .714 .889 .957 .892 .767 .664 .578 146 -.063 5846 -1.781 5.91672 .010041 2.127581 .007127 Correlation Surface at 246 5846 .024 .000 .000 .004 .148 .086 .003 .054 .019 .043 .001 .016 .062 .362 .089 .014 .008 .037 .083 .000 .047 .170 .639 .110 .031 .000 .041 .153 .001 .071 .275 .880 .170 .047 .002 .026 .257 .014 .064 .327 1.000 .295 .065 .000 .008 .382 .064 .034 .301 .979 .489 .094 .002 .000 .490 .158 .008 .206 .834 .694 .131 .009 .000 .543 .261 .000 .103 .624 .811 .159 .011 .000 .520 .302 .000 .037 .422 .777 .156 .007 .001 r_peak,r_snr = .1205071 7.09641 Correlation Surface of oversamples image at 246 5846 .000 .014 .124 .462 .736 .532 .191 .039 .003 .000 .017 .155 .565 .862 .589 .208 .055 .016 .000 .014 .165 .622 .944 .634 .229 .076 .036 .001 .009 .159 .640 .987 .675 .261 .103 .060 .003 .006 .147 .630 1.000 .717 .307 .140 .087 .006 .003 .128 .592 .977 .749 .361 .184 .112 .013 .000 .098 .518 .908 .755 .407 .221 .125 .023 .000 .070 .435 .822 .749 .454 .257 .131 .027 .001 .055 .372 .753 .761 .519 .306 .145 246 4.031 5846 -5.906 7.09641 .021635 1.471725 -.117354 Correlation Surface at 346 5846 .113 .028 .031 .000 .467 .493 .089 .010 .007 .167 .041 .031 .010 .673 .531 .107 .001 .019 .223 .080 .011 .049 .850 .522 .115 .003 .039 .250 .144 .000 .126 .962 .479 .108 .012 .049 .230 .207 .021 .235 1.000 .429 .095 .019 .038 .173 .235 .069 .347 .987 .398 .088 .018 .014 .106 .215 .119 .430 .965 .399 .093 .014 .001 .059 .163 .150 .470 .960 .418 .107 .008 .003 .040 .109 .157 .468 .957 .428 .115 .004 .008 r_peak,r_snr = .1505412 6.20623 Correlation Surface of oversamples image at 346 5846 .001 .008 .161 .606 .946 .784 .372 .091 .007 .009 .028 .215 .657 .970 .789 .363 .082 .006 .023 .055 .262 .690 .979 .789 .355 .074 .005 .041 .086 .307 .718 .991 .801 .358 .072 .005 .057 .114 .342 .736 1.000 .821 .371 .075 .006 .063 .128 .349 .720 .980 .823 .376 .075 .006 .061 .129 .335 .680 .943 .815 .376 .075 .005 .070 .144 .344 .678 .956 .857 .412 .091 .010 346 .063 5846 -7.188 6.20623 .087938 10.374798 .908250 Correlation Surface at 646 5846 .650 .470 .615 .832 .904 .701 .589 .581 .470 .647 .464 .602 .858 .934 .712 .601 .604 .502 .638 .462 .585 .875 .962 .719 .607 .619 .525 .628 .460 .561 .882 .987 .730 .619 .635 .546 .623 .456 .534 .877 1.000 .741 .642 .661 .574 .624 .449 .509 .860 .990 .746 .672 .702 .618 .629 .439 .488 .829 .946 .739 .700 .753 .675 .630 .427 .475 .780 .867 .719 .717 .799 .738 .622 .416 .470 .718 .774 .701 .722 .827 .796 r_peak,r_snr = .5666525 2.27548 Correlation Surface of oversamples image at 646 5846 .292 .367 .506 .766 .973 .970 .820 .627 .483 .291 .371 .518 .784 .986 .970 .813 .626 .487 .287 .371 .525 .797 .993 .966 .804 .620 .486 .283 .369 .529 .804 .997 .964 .797 .614 .481 .279 .367 .532 .809 1.000 .965 .796 .612 .478 .274 .363 .531 .806 .996 .963 .795 .610 .474 .265 .355 .522 .792 .979 .951 .787 .603 .467 .260 .350 .513 .774 .957 .938 .780 .598 .463 .263 .353 .512 .761 .942 .933 .785 .606 .474 646 -1.344 5846 1.750 2.27548 .004008 .566594 -.015549 Correlation Surface at 746 5846 .207 .372 .681 .951 .891 .546 .164 .037 .026 .190 .344 .646 .936 .928 .586 .168 .033 .020 .178 .309 .589 .913 .969 .638 .184 .035 .018 .171 .272 .518 .878 .998 .680 .207 .044 .020 .162 .236 .447 .831 1.000 .693 .230 .058 .024 .149 .204 .388 .778 .971 .675 .248 .075 .030 .133 .179 .347 .726 .915 .636 .266 .093 .035 .117 .163 .327 .684 .847 .598 .289 .112 .039 .105 .158 .327 .653 .787 .579 .321 .133 .046 r_peak,r_snr = .4477657 3.77366 Correlation Surface of oversamples image at 746 5846 .480 .696 .891 .992 .980 .891 .740 .513 .259 .458 .673 .872 .985 .986 .905 .755 .525 .265 .431 .644 .848 .975 .992 .922 .776 .542 .275 .401 .609 .818 .961 .998 .941 .799 .562 .288 .367 .568 .780 .941 1.000 .958 .821 .581 .301 .331 .522 .735 .914 .997 .970 .839 .598 .314 .295 .475 .687 .880 .987 .978 .852 .611 .325 .262 .430 .637 .842 .971 .978 .858 .618 .335 .234 .388 .588 .801 .949 .969 .854 .618 .340 746 .563 5846 5.250 3.77366 .007633 .837736 -.045332 Correlation Surface at 846 5846 .121 .079 .131 .105 .049 .303 .092 .002 .003 .140 .076 .104 .155 .224 .537 .125 .012 .001 .192 .105 .112 .221 .514 .780 .131 .033 .001 .317 .197 .149 .280 .815 .946 .116 .062 .020 .516 .361 .187 .307 1.000 .966 .102 .092 .063 .706 .542 .195 .288 .986 .850 .102 .116 .111 .756 .644 .161 .215 .775 .659 .114 .126 .133 .600 .590 .094 .113 .463 .464 .141 .130 .128 .308 .409 .035 .031 .177 .291 .175 .137 .109 r_peak,r_snr = 9.35694E-02 3.84565 Correlation Surface of oversamples image at 846 5846 .268 .328 .381 .492 .661 .656 .380 .138 .075 .298 .359 .439 .594 .782 .745 .429 .172 .110 .324 .383 .491 .694 .895 .816 .465 .205 .150 .339 .391 .526 .771 .976 .851 .478 .230 .189 .328 .370 .526 .804 1.000 .830 .456 .238 .215 .297 .328 .499 .799 .976 .769 .412 .232 .230 .264 .286 .467 .778 .931 .698 .370 .229 .246 .223 .238 .418 .726 .847 .606 .322 .222 .259 .161 .171 .335 .614 .700 .475 .254 .198 .251 846 2.563 5846 -4.625 3.84565 .065149 1.105065 .042105 Correlation Surface at 1046 5846 .425 .617 .626 .734 .800 .622 .752 .386 .120 .577 .708 .575 .699 .841 .588 .630 .329 .112 .713 .697 .463 .655 .892 .533 .482 .248 .100 .808 .633 .371 .634 .953 .490 .366 .182 .091 .838 .565 .333 .637 1.000 .474 .304 .140 .078 .812 .514 .350 .652 .998 .488 .294 .122 .056 .757 .471 .403 .667 .947 .518 .320 .122 .030 .677 .412 .463 .690 .879 .535 .359 .138 .011 .558 .324 .505 .735 .819 .510 .376 .161 .002 r_peak,r_snr = .1520269 4.1188 Correlation Surface of oversamples image at 1046 5846 1.692 1.731 1.936 2.327 3.030 3.521 3.070 2.068 1.277 1.647 1.798 2.139 2.595 3.228 3.568 3.083 2.120 1.332 1.535 1.795 2.285 2.818 3.370 3.546 3.009 2.081 1.310 1.495 1.869 2.531 3.169 3.652 3.655 3.034 2.103 1.331 1046 -.844 5846 10.813 4.11880 .019947 6.189239 .040195 Correlation Surface at 1146 5846 .014 .021 .101 .547 .627 .610 .681 .511 .342 .000 .023 .184 .715 .766 .711 .766 .529 .307 .004 .030 .302 .846 .887 .795 .799 .537 .300 .012 .040 .430 .905 .969 .856 .766 .517 .305 .017 .051 .533 .893 1.000 .887 .681 .463 .306 .015 .063 .585 .837 .973 .879 .571 .388 .299 .008 .075 .585 .756 .889 .833 .461 .307 .285 .001 .092 .542 .662 .761 .757 .368 .234 .269 .001 .115 .475 .566 .619 .663 .303 .178 .253 r_peak,r_snr = .1818273 3.19463 Correlation Surface of oversamples image at 1146 5846 .001 .017 .176 .539 .856 .828 .580 .403 .357 .003 .013 .180 .573 .909 .871 .606 .420 .371 .006 .011 .185 .605 .955 .907 .630 .441 .389 .009 .009 .189 .630 .988 .931 .651 .462 .409 .012 .007 .191 .645 1.000 .934 .659 .476 .424 .014 .006 .192 .651 .994 .918 .654 .482 .434 .014 .007 .200 .659 .983 .895 .646 .488 .446 .012 .009 .210 .660 .955 .859 .628 .486 .454 .012 .009 .209 .633 .888 .786 .580 .456 .441 1146 -11.344 5846 -1.594 3.19463 .270389 3.316001 -.444284 Correlation Surface at 1246 5846 .011 .002 .079 .254 .910 .907 .275 .061 .007 .004 .079 .267 1.000 .905 .214 .034 .003 .008 .078 .259 .989 .832 .170 .021 .001 .010 .073 .236 .909 .728 .142 .019 .000 .010 .061 .212 .802 .640 .131 .026 .001 .006 .048 .197 .703 .590 .146 .046 r_peak,r_snr = .1869879 6.29427 Correlation Surface of oversamples image at 1246 5846 .033 .054 .208 .458 .608 .535 .313 .073 .026 .032 .062 .259 .575 .749 .636 .356 .080 .026 .034 .076 .317 .689 .869 .710 .381 .082 .030 .040 .096 .382 .793 .959 .752 .388 .077 .035 .047 .119 .444 .870 1.000 .749 .370 .066 .043 .050 .137 .485 .898 .974 .691 .320 .046 .058 .052 .152 .507 .881 .892 .590 .250 .024 .080 .057 .171 .527 .847 .792 .481 .183 .010 .098 .060 .189 .534 .788 .673 .370 .121 .002 .113 1246 11.375 5846 -13.813 6.29427 .012649 .916706 .021446 Correlation Surface at 1346 5846 .065 .198 .306 .584 .612 .289 .181 .091 .063 .054 .177 .338 .680 .728 .367 .230 .134 .084 .049 .161 .366 .769 .856 .453 .270 .168 .094 .052 .151 .381 .819 .961 .523 .289 .178 .087 .064 .150 .375 .802 1.000 .552 .284 .159 .065 .080 .154 .343 .715 .947 .532 .259 .125 .040 .093 .159 .289 .573 .813 .473 .229 .095 .020 .096 .155 .223 .411 .637 .399 .207 .077 .009 r_peak,r_snr = .2649485 7.75861 Correlation Surface of oversamples image at 1346 5846 .353 .480 .707 .903 .847 .605 .421 .349 .305 .359 .502 .741 .951 .914 .673 .471 .382 .334 .359 .510 .755 .978 .963 .730 .512 .407 .352 .355 .508 .753 .987 .997 .775 .547 .427 .365 .342 .489 .726 .966 1.000 .797 .567 .437 .367 .317 .447 .667 .905 .962 .785 .562 .428 .354 .285 .392 .587 .815 .891 .743 .536 .405 .330 .251 .334 .503 .716 .806 .687 .500 .378 .306 .214 .271 .412 .607 .705 .616 .455 .348 .282 1346 -.219 5846 10.656 7.75861 .012169 .481060 -.024433 Correlation Surface at 1446 5846 .314 .131 .002 .287 .519 .215 .227 .237 .063 .313 .133 .003 .325 .646 .276 .270 .327 .088 .293 .138 .002 .360 .796 .355 .305 .387 .120 .262 .146 .000 .388 .929 .427 .312 .396 .157 .230 .155 .000 .407 1.000 .463 .284 .356 .199 .202 .157 .000 .416 .976 .456 .235 .291 .243 .176 .151 .000 .404 .860 .424 .184 .225 .287 .158 .142 .000 .367 .694 .388 .147 .174 .329 r_peak,r_snr = .1925168 7.17024 Correlation Surface of oversamples image at 1446 5846 .093 .258 .519 .790 .824 .543 .252 .140 .170 .090 .270 .562 .862 .900 .589 .261 .135 .166 .083 .276 .598 .922 .958 .620 .266 .131 .163 .072 .273 .619 .961 .991 .635 .265 .125 .157 .059 .262 .625 .978 1.000 .634 .260 .120 .150 .046 .249 .622 .977 .989 .622 .254 .118 .146 .035 .232 .608 .956 .958 .598 .248 .118 .144 .024 .210 .577 .911 .902 .562 .239 .118 .141 .016 .187 .536 .847 .832 .520 .231 .121 .138 1446 -.219 5846 10.219 7.17024 .007629 .963612 .000036 Correlation Surface at 1546 5846 .000 .014 .002 .042 .159 .292 .041 .057 .276 .051 .085 .014 .124 .343 .338 .024 .038 .156 .167 .181 .018 .299 .600 .356 .010 .005 .035 .276 .253 .017 .520 .853 .342 .002 .011 .003 .321 .265 .018 .663 1.000 .315 .000 .074 .078 .290 .216 .025 .649 1.000 .293 .000 .142 .192 .213 .138 .032 .501 .878 .293 .002 .142 .255 .140 .064 .027 .332 .705 .326 .018 .069 .218 .091 .017 .010 .218 .543 .389 .066 .005 .112 r_peak,r_snr = .1102965 8.24458 Correlation Surface of oversamples image at 1546 5846 .314 .083 .020 .345 .724 .716 .415 .138 .008 .377 .095 .027 .410 .821 .773 .423 .135 .008 .414 .099 .036 .472 .912 .831 .444 .144 .011 .426 .097 .046 .525 .982 .878 .469 .160 .016 .426 .097 .050 .546 1.000 .886 .479 .171 .022 .406 .093 .051 .537 .973 .864 .480 .182 .029 .342 .073 .057 .530 .946 .856 .502 .210 .044 .257 .046 .070 .524 .913 .847 .531 .248 .065 .189 .028 .075 .480 .825 .787 .524 .263 .078 1546 -3.344 5846 .344 8.24458 .031544 1.482136 .084977 Correlation Surface at 1646 5846 .033 .011 .001 .215 .564 .121 .036 .128 .176 .037 .011 .021 .317 .626 .201 .004 .078 .269 .049 .025 .091 .474 .761 .362 .108 .056 .408 .067 .077 .237 .651 .912 .570 .279 .069 .566 .085 .196 .446 .784 1.000 .728 .362 .121 .712 .103 .380 .653 .811 .949 .733 .285 .221 .820 .110 .552 .771 .732 .761 .579 .127 .356 .870 .099 .623 .765 .600 .504 .371 .021 .470 .846 .075 .560 .659 .472 .272 .202 .000 .502 .764 r_peak,r_snr = .1170708 5.43415 Correlation Surface of oversamples image at 1646 5846 .301 .377 .552 .760 .864 .652 .254 .038 .000 .369 .464 .633 .825 .924 .725 .341 .097 .012 .448 .554 .704 .870 .969 .799 .448 .191 .052 .532 .635 .753 .890 .993 .869 .571 .316 .118 .616 .701 .782 .891 1.000 .931 .701 .463 .201 .689 .746 .785 .863 .975 .963 .815 .610 .286 .736 .756 .749 .790 .897 .940 .880 .717 .345 .758 .736 .682 .688 .782 .868 .890 .766 .362 .777 .713 .621 .594 .671 .784 .869 .774 .352 1646 -.906 5846 5.313 5.43415 .115547 1.428464 -.011895 Correlation Surface at 1746 5846 .261 .181 .321 .258 .350 .571 .386 .168 .257 .201 .172 .342 .328 .495 .679 .446 .188 .194 .146 .162 .350 .440 .692 .784 .513 .212 .138 .103 .144 .351 .590 .889 .835 .558 .231 .096 .073 .121 .349 .758 1.000 .792 .553 .241 .069 .054 .097 .346 .899 .974 .663 .487 .232 .056 .044 .076 .335 .959 .838 .497 .376 .200 .054 .042 .062 .309 .914 .655 .348 .254 .153 .062 .046 .054 .267 .789 .486 .248 .159 .109 .081 r_peak,r_snr = .2107207 5.10929 Correlation Surface of oversamples image at 1746 5846 .163 .297 .503 .721 .823 .733 .578 .500 .432 .163 .314 .558 .808 .905 .778 .591 .488 .403 .159 .327 .604 .878 .961 .800 .587 .462 .362 .158 .341 .645 .933 .996 .806 .576 .434 .322 .156 .349 .669 .959 1.000 .792 .556 .404 .282 .144 .337 .655 .930 .953 .745 .517 .362 .235 .128 .314 .614 .861 .869 .676 .467 .317 .190 .122 .302 .581 .799 .799 .627 .441 .295 .167 1746 .313 5846 10.813 5.10929 .128631 .785055 .270751 Correlation Surface at 1846 5846 .746 .747 .796 .935 .941 .790 .691 .648 .637 .749 .738 .785 .945 .978 .807 .695 .656 .651 .777 .754 .780 .941 1.000 .824 .696 .654 .650 .821 .783 .776 .919 .997 .831 .689 .640 .633 .866 .817 .772 .884 .973 .829 .681 .619 .612 .897 .844 .770 .841 .933 .818 .673 .600 .598 .901 .855 .767 .793 .885 .801 .667 .591 .597 r_peak,r_snr = .5810672 1.46604 Correlation Surface of oversamples image at 1846 5846 .737 .781 .846 .919 .956 .919 .838 .765 .717 .727 .771 .844 .929 .973 .938 .855 .778 .726 .717 .762 .841 .936 .986 .953 .869 .787 .732 .709 .752 .838 .941 .996 .963 .878 .793 .734 .703 .744 .834 .943 1.000 .968 .882 .795 .733 .697 .735 .828 .939 .997 .966 .880 .792 .728 .693 .728 .820 .930 .987 .957 .872 .786 .721 .692 .721 .809 .916 .970 .941 .859 .775 .711 .690 .713 .793 .892 .944 .916 .839 .760 .698 1846 .063 5846 -12.469 1.46604 .008777 .460104 -.027495 Correlation Surface at 1946 5846 .552 .594 .590 .675 .799 .831 .875 .876 .776 .548 .596 .574 .697 .873 .849 .863 .873 .795 .539 .585 .563 .735 .946 .862 .842 .857 .802 .528 .565 .557 .772 .994 .862 .817 .831 .791 .518 .544 .558 .796 1.000 .845 .792 .802 .762 .512 .531 .571 .801 .966 .815 .773 .774 .723 .509 .526 .595 .793 .907 .784 .762 .752 .682 r_peak,r_snr = .5605071 1.60744 Correlation Surface of oversamples image at 1946 5846 .645 .694 .783 .887 .942 .931 .886 .853 .841 .653 .716 .816 .921 .968 .944 .889 .849 .836 .660 .737 .846 .949 .987 .952 .887 .843 .828 .664 .755 .871 .969 .998 .953 .881 .834 .819 .666 .768 .890 .980 1.000 .949 .872 .824 .811 .666 .777 .900 .982 .992 .938 .860 .812 .802 .664 .780 .903 .974 .976 .920 .844 .798 .791 .662 .781 .899 .959 .954 .898 .826 .784 .782 .663 .781 .893 .942 .930 .876 .808 .773 .776 1946 .906 5846 11.219 1.60744 .004896 .211984 .012804 Correlation Surface at 2046 5846 .108 .032 .001 .049 .381 .202 .023 .358 .766 .080 .022 .004 .169 .610 .382 .090 .379 .655 .040 .006 .030 .335 .821 .616 .221 .384 .484 .009 .001 .080 .496 .967 .844 .409 .395 .319 .000 .017 .139 .595 1.000 .971 .588 .414 .199 .007 .047 .188 .611 .906 .918 .682 .438 .128 .013 .072 .217 .552 .720 .704 .643 .446 .088 .013 .086 .234 .447 .511 .433 .495 .406 .064 .013 .096 .253 .343 .338 .212 .316 .313 .041 r_peak,r_snr = .1334579 6.18767 Correlation Surface of oversamples image at 2046 5846 .011 .002 .255 1.743 4.000 .062 .029 .328 1.713 3.738 .171 .100 .422 1.656 3.374 .346 .222 .527 1.554 2.900 .578 .392 .643 1.431 2.388 2046 4.750 5846 -9.813 6.18767 .103234 1.279588 .063888 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2964105 13.08415 146 .031 3046 -.688 13.08416 .004029 .238856 -.011965 r_peak,r_snr = .229949 14.13453 246 .000 3046 -.906 14.13454 .002805 .116420 .000561 r_peak,r_snr = .188222 18.06565 346 .125 3046 -.156 18.06565 .003358 .163349 .005735 r_peak,r_snr = .3522296 6.34155 446 .000 3046 -1.063 6.34155 .003541 .359447 -.013225 r_peak,r_snr = .4524857 7.68616 546 .063 3046 -.219 7.68616 .003578 .933938 .034155 r_peak,r_snr = .1906098 8.99847 646 -.156 3046 -.781 8.99847 .006445 .863280 .014694 r_peak,r_snr = .2261026 5.07293 746 .250 3046 -.813 5.07293 .005777 .225440 -.005516 r_peak,r_snr = .1194541 5.39551 846 -1.031 3046 2.813 5.39551 .031508 1.687151 .060235 r_peak,r_snr = .4720473 3.70141 946 -.250 3046 .469 3.70141 .003214 .410300 .006864 r_peak,r_snr = .4120118 9.20063 1046 .125 3046 .750 9.20063 .002375 .209529 .001256 r_peak,r_snr = .2597995 3.10559 1246 -2.813 3046 -.250 3.10559 .047062 .964272 -.018263 r_peak,r_snr = .1448251 4.71811 1346 -14.250 3046 -14.063 4.71811 .036758 1.068950 .130049 r_peak,r_snr = .1812987 7.36379 1446 -1.969 3046 -.531 7.36379 .018777 1.018139 .079016 r_peak,r_snr = .173691 3.2487 1546 -11.031 3046 -6.781 3.24870 .049487 3.607955 -.263845 r_peak,r_snr = .5758574 4.38543 1946 -.813 3046 2.781 4.38543 .003055 .600516 -.008657 At line = 3400 Reading in data.... r_peak,r_snr = .3053123 10.50127 146 .000 3446 -.219 10.50127 .005756 .238203 .002748 r_peak,r_snr = .1960345 8.78654 246 .063 3446 -.750 8.78654 .004352 .286826 -.005864 r_peak,r_snr = .3085699 6.20444 346 .219 3446 .125 6.20444 .005500 .252960 -.003901 r_peak,r_snr = .473008 2.22361 446 -.188 3446 .750 2.22361 .008623 .282250 .002855 r_peak,r_snr = .4205998 5.3992 546 -.031 3446 .531 5.39920 .002111 .075409 .002348 r_peak,r_snr = .3847749 6.6717 646 .375 3446 -1.219 6.67170 .007806 2.742109 .048968 r_peak,r_snr = .3709195 10.47286 746 -.156 3446 2.750 10.47286 .002176 1.304754 .019753 r_peak,r_snr = .2442417 9.7815 846 .094 3446 -.125 9.78150 .005999 .719277 .016841 r_peak,r_snr = .3297006 4.50156 946 -.094 3446 2.156 4.50156 .010073 1.479855 -.087454 r_peak,r_snr = .1943966 7.7155 1146 .625 3446 -8.250 7.71550 .023195 1.003899 .084365 r_peak,r_snr = .2314605 8.03298 1246 -1.344 3446 4.688 8.03298 .020096 3.018706 .200147 r_peak,r_snr = .149225 7.05062 1346 7.688 3446 -3.375 7.05062 .011634 .542862 .003918 r_peak,r_snr = .2563338 3.61766 1446 -.313 3446 -2.719 3.61766 .015911 .339283 -.008761 r_peak,r_snr = .2643429 5.06006 1546 -.125 3446 -1.750 5.06006 .005507 .925558 -.021752 r_peak,r_snr = .1348275 7.51118 1646 -.563 3446 14.844 7.51118 .088438 1.951238 .236789 r_peak,r_snr = .3715834 11.84243 1746 .125 3446 -.031 11.84243 .002036 .192784 -.000986 r_peak,r_snr = .2013916 5.11389 1846 .406 3446 -3.906 5.11389 .032008 .885720 -.017815 r_peak,r_snr = .5244674 8.38165 1946 .063 3446 -.219 8.38165 .000825 .028411 .000415 r_peak,r_snr = .1140295 3.86206 2046 -4.219 3446 10.469 3.86206 .070704 3.868654 -.435412 At line = 3800 Reading in data.... r_peak,r_snr = .3149077 14.3969 146 .031 3846 -.250 14.39690 .004691 .202429 .008892 r_peak,r_snr = .2493503 20.99077 246 .219 3846 .250 20.99078 .002947 .091615 -.001530 r_peak,r_snr = .4671553 2.6238 346 .438 3846 .188 2.62380 .002741 .134323 .006497 r_peak,r_snr = .3913257 3.30031 446 .125 3846 .813 3.30031 .003701 .203135 -.007424 r_peak,r_snr = .4907384 5.6272 546 -.156 3846 -.219 5.62720 .004022 1.744686 -.047940 r_peak,r_snr = .4951307 8.22074 646 .156 3846 -.156 8.22074 .001816 .168393 .002155 r_peak,r_snr = .1846377 10.75574 746 8.250 3846 -5.875 10.75574 .026771 1.458153 .151544 r_peak,r_snr = .1048927 3.67946 846 .531 3846 -1.188 3.67946 .027324 2.797676 .196399 r_peak,r_snr = .423336 6.26292 946 -.094 3846 .344 6.26292 .001964 .132792 .003545 r_peak,r_snr = .3055061 3.61826 1046 -8.969 3846 -2.719 3.61826 .016348 .817213 .056876 r_peak,r_snr = .1587606 11.31972 1146 -9.250 3846 -9.375 11.31973 .036710 .473550 -.015401 r_peak,r_snr = .1445154 9.1154 1246 .188 3846 2.656 9.11540 .015680 1.045842 -.013902 r_peak,r_snr = .3295347 2.72445 1346 -1.406 3846 10.750 2.72445 .043344 .778148 -.056866 r_peak,r_snr = .1804363 1.94962 1446 -12.906 3846 11.844 1.94962 .045314 1.874572 -.069382 r_peak,r_snr = .2406759 5.11027 1546 -.219 3846 .250 5.11027 .006694 .599786 .018817 r_peak,r_snr = 7.93436E-02 2.60534 1646 .125 3846 -.031 2.60534 .018444 1.116026 -.016164 r_peak,r_snr = .1365358 6.82727 1746 6.750 3846 4.563 6.82727 .010706 1.464253 .087693 r_peak,r_snr = .2476371 6.92034 1846 -.531 3846 4.875 6.92034 .037050 1.121264 .142492 r_peak,r_snr = .5371521 3.89057 1946 -.125 3846 -.719 3.89057 .003260 .197968 .016106 r_peak,r_snr = .4559002 5.25201 2046 -.469 3846 .781 5.25201 .006628 .619622 -.005978 At line = 4200 Reading in data.... r_peak,r_snr = .2463965 12.91718 146 -.063 4246 -1.250 12.91719 .006456 .496883 -.021376 r_peak,r_snr = .1827007 17.10276 246 .156 4246 -.813 17.10277 .003111 .195245 .006142 r_peak,r_snr = .647868 3.22737 346 .219 4246 -.188 3.22737 .001377 .088725 .004242 r_peak,r_snr = .2778491 10.70394 446 -.063 4246 .063 10.70395 .005356 .105939 -.008161 r_peak,r_snr = .5837592 4.71118 546 .000 4246 .344 4.71118 .001642 .116503 -.002271 r_peak,r_snr = .6584433 3.62211 646 .438 4246 -.781 3.62211 .001811 .154315 .004917 r_peak,r_snr = .4552387 9.98789 746 -.031 4246 -9.781 9.98789 .001938 .392229 -.010478 r_peak,r_snr = .3595274 2.20225 946 -5.313 4246 5.250 2.20225 .083021 1.383071 -.239750 r_peak,r_snr = .1299615 5.20971 1046 .219 4246 -9.094 5.20971 .201289 .339909 -.115952 r_peak,r_snr = .1980256 4.43718 1146 -3.281 4246 -1.781 4.43718 .010141 .632693 -.010503 r_peak,r_snr = .442084 8.79135 1246 .094 4246 .219 8.79135 .001795 .546117 -.004781 r_peak,r_snr = .4303232 3.28025 1346 -.406 4246 4.219 3.28025 .007755 1.470138 -.024139 r_peak,r_snr = .4184632 5.31038 1446 .063 4246 .281 5.31038 .002395 .171024 -.002942 r_peak,r_snr = .1137229 6.14996 1646 -8.375 4246 -10.500 6.14996 .056664 .752944 .145276 r_peak,r_snr = .1157597 5.68631 1746 -3.969 4246 -7.813 5.68631 .555239 5.349810 1.535922 r_peak,r_snr = .3572531 7.03575 1846 .000 4246 -.750 7.03575 .005775 .425198 .020980 r_peak,r_snr = .3284702 3.69343 1946 -6.781 4246 13.156 3.69343 .009198 2.509184 .024365 r_peak,r_snr = .1918562 3.41284 2046 -3.438 4246 12.781 3.41284 .052755 7.307881 -.465911 At line = 4600 Reading in data.... r_peak,r_snr = .4002631 6.07914 146 -.031 4646 -.156 6.07914 .003050 .098205 .004156 r_peak,r_snr = .1687022 12.6048 246 .063 4646 .000 12.60480 .004223 .181306 -.004367 r_peak,r_snr = .4255682 5.19607 346 .375 4646 -1.750 5.19607 .003945 .158923 .005609 r_peak,r_snr = .2474339 5.44344 446 -.188 4646 -.375 5.44344 .005152 .289315 -.019784 r_peak,r_snr = .5577015 6.52974 546 -.094 4646 .219 6.52974 .001896 .057577 -.000090 r_peak,r_snr = .4038185 41.4132 646 .000 4646 -.438 41.41320 .000781 .025881 .000467 r_peak,r_snr = .365282 8.09287 746 -.094 4646 -1.219 8.09287 .022267 7.620582 .383943 r_peak,r_snr = .2863578 6.99884 846 .719 4646 -7.906 6.99884 .015914 .907111 .041189 r_peak,r_snr = .2598438 4.33624 946 -.031 4646 -.250 4.33624 .008837 .623983 -.023984 r_peak,r_snr = .1688864 8.64567 1046 .438 4646 -.250 8.64567 .007518 .584036 -.035311 r_peak,r_snr = .1267454 5.45013 1146 11.719 4646 -6.219 5.45013 .143339 4.350490 .517313 r_peak,r_snr = .1403121 5.18327 1246 -4.313 4646 -8.219 5.18327 .314830 2.752067 .700197 r_peak,r_snr = .4358689 3.68684 1346 -3.813 4646 -11.813 3.68684 .009331 .727294 .006659 r_peak,r_snr = .174584 3.23321 1546 -14.250 4646 -4.219 3.23321 .049011 .988658 .049790 r_peak,r_snr = .1116077 4.05758 1646 -17.719 4646 -16.813 4.05758 .033729 3.174793 .180638 r_peak,r_snr = 3.96622E-02 .1512062 1746 -15.656 4646 -6.781 .15121 .082691 .817383 -.058135 r_peak,r_snr = .493837 6.13477 1846 .219 4646 1.188 6.13477 .004586 .104850 -.010936 r_peak,r_snr = .2312934 4.04324 1946 -6.344 4646 -9.219 4.04324 .012395 2.487926 .043742 At line = 5000 Reading in data.... r_peak,r_snr = .335333 6.91809 146 .438 5046 .813 6.91809 .004168 .310219 -.009755 r_peak,r_snr = .2274217 7.79382 246 -.281 5046 -.281 7.79382 .007797 .243568 -.027581 r_peak,r_snr = .249702 18.31211 346 -.063 5046 -.938 18.31212 .002924 .232243 .002729 r_peak,r_snr = .2670979 13.74582 446 .156 5046 -.219 13.74582 .003520 .246482 .008890 r_peak,r_snr = .5814377 2.96821 546 -.250 5046 1.219 2.96821 .001855 .256364 -.004438 r_peak,r_snr = .5692576 3.36581 646 -.063 5046 .250 3.36581 .001720 .435569 -.006540 r_peak,r_snr = .4777132 14.3426 746 .063 5046 -.781 14.34260 .001502 .186556 .008821 r_peak,r_snr = .1744521 9.74939 846 .063 5046 .938 9.74939 .011048 .453904 .021865 r_peak,r_snr = .3591731 6.48497 946 .000 5046 1.250 6.48497 .006202 .279795 .014717 r_peak,r_snr = .375443 6.01133 1046 -.125 5046 -2.250 6.01133 .006748 .314307 .020008 r_peak,r_snr = .2040425 8.85429 1146 -2.688 5046 -9.906 8.85429 .014772 .322186 .016051 r_peak,r_snr = .2182388 6.86663 1246 -.281 5046 1.000 6.86663 .007908 .680505 -.011499 r_peak,r_snr = .378745 3.66821 1346 -.031 5046 -11.969 3.66821 .011049 1.358119 .067907 r_peak,r_snr = .2541867 3.44412 1446 .031 5046 -.125 3.44412 .005491 .217950 -.008200 r_peak,r_snr = .1916847 4.99142 1546 -.188 5046 -7.250 4.99142 .006304 .480886 .004832 r_peak,r_snr = .1283674 5.16985 1646 -11.188 5046 5.375 5.16985 .065028 2.019740 -.101085 r_peak,r_snr = .5449092 3.4517 1746 -.531 5046 8.813 3.45170 .010130 1.402946 -.054633 r_peak,r_snr = .5336307 6.03465 1846 -.063 5046 -.750 6.03465 .002106 .383271 .003084 r_peak,r_snr = .4939837 4.72385 1946 -.219 5046 .781 4.72385 .004177 .302213 .003289 r_peak,r_snr = .1135241 4.66117 2046 -13.688 5046 3.844 4.66117 .018499 .618212 -.025865 At line = 5400 Reading in data.... r_peak,r_snr = .607383 8.28225 146 .031 5446 .125 8.28225 .000828 .048546 .000326 r_peak,r_snr = .1709066 6.30357 246 2.063 5446 12.938 6.30357 .028039 1.669475 .164888 r_peak,r_snr = .276168 22.54269 346 -.094 5446 -.688 22.54269 .002721 .059190 -.000220 r_peak,r_snr = .2988722 5.99228 446 -.219 5446 1.719 5.99228 .004983 1.303514 .019149 r_peak,r_snr = .5266708 3.21841 546 .000 5446 -.781 3.21841 .003013 .186067 .008106 r_peak,r_snr = .3513907 10.76996 646 .156 5446 -.219 10.76997 .002631 .055714 .002408 r_peak,r_snr = .4641849 12.78422 746 -.094 5446 -.094 12.78422 .001327 .106040 .001089 r_peak,r_snr = .2593627 6.06222 846 .406 5446 -5.844 6.06222 .009269 2.859384 .025230 r_peak,r_snr = .2861867 9.78075 946 .781 5446 .969 9.78075 .002788 .323412 -.002255 r_peak,r_snr = .2389713 8.70427 1046 -.063 5446 .125 8.70427 .005147 .883460 -.040678 r_peak,r_snr = .1260189 7.86974 1146 13.625 5446 -.844 7.86974 .016345 .450408 -.026710 r_peak,r_snr = .2758726 7.97536 1246 .281 5446 .750 7.97536 .013358 .435520 .039337 r_peak,r_snr = .2696236 9.53015 1446 .000 5446 .906 9.53015 .005833 .445723 .017508 r_peak,r_snr = .1589926 10.22027 1546 5.000 5446 12.719 10.22027 .011388 1.068520 .072366 r_peak,r_snr = 8.52215E-02 .4382374 1646 2.188 5446 -17.219 .43824 .014760 2.849028 -.055102 r_peak,r_snr = .5900135 1.39829 1746 12.750 5446 13.781 1.39829 .011342 .640628 .017586 r_peak,r_snr = .5911462 2.95305 1846 -.281 5446 2.719 2.95305 .002736 .581196 .005327 r_peak,r_snr = .4217664 8.97544 1946 -.313 5446 -.281 8.97544 .002688 .251999 .002309 r_peak,r_snr = .3739706 5.98313 2046 -.219 5446 -.156 5.98313 .003399 .457243 -.005014 At line = 5800 Reading in data.... r_peak,r_snr = .499071 13.12171 146 -.094 5846 -.719 13.12171 .001289 .063831 -.000254 r_peak,r_snr = .2497616 14.27091 246 .000 5846 -.188 14.27092 .004508 .230658 .012561 r_peak,r_snr = .2854892 12.65108 346 .000 5846 .219 12.65108 .003007 .362237 -.013854 r_peak,r_snr = .197457 13.13222 446 -.125 5846 1.781 13.13223 .008424 .602350 -.009009 r_peak,r_snr = .4614323 2.95153 546 .063 5846 2.781 2.95153 .014700 .735863 -.081209 r_peak,r_snr = .5972929 2.43046 646 -1.188 5846 -8.250 2.43046 .003919 .212118 -.002462 r_peak,r_snr = .4463812 7.56521 746 -.125 5846 -7.813 7.56521 .005830 1.361397 -.072607 r_peak,r_snr = .1822096 5.47632 946 .000 5846 1.375 5.47632 .014949 .580566 .066242 r_peak,r_snr = .1383825 5.08999 1046 -3.094 5846 -4.281 5.08999 .007365 .750881 .031155 r_peak,r_snr = .1439674 4.60077 1146 -2.219 5846 4.969 4.60077 .005889 .556312 -.004007 r_peak,r_snr = .3354797 11.29628 1246 -.156 5846 .563 11.29628 .003386 .182510 .010090 r_peak,r_snr = .1726322 4.52644 1346 3.781 5846 -.219 4.52644 .004657 .524359 -.021311 r_peak,r_snr = .2525002 8.50582 1446 -3.000 5846 3.250 8.50582 .004429 .477367 -.005478 r_peak,r_snr = .4881923 1.76882 1846 -7.938 5846 6.688 1.76882 .011491 .476250 -.039414 r_peak,r_snr = .1332494 5.13859 2046 -2.938 5846 -3.094 5.13859 .008520 .385028 .020177 ************************************************* ***** 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 94055 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 94055 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 94055 FOUND CALIB SET 94055 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: 27.5 -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: 27.50 deg Receiver phase difference is 79.50 deg Transmitter phase difference is 107.00 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 Wed May 6 04:07:08 PDT 1998