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): WARNING!! run shift_byte_auto to check C-band data 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 Mon Apr 20 11:11:27 PDT 1998 *********************************************** * * * program SHIFT_BYTE * * * * This program shifts the raw data based on * * the caltone phase of the range line. * * The user has the option to specify the * * range of caltone phase to flag for byte * * shifting. * * * *********************************************** Enter input data filename: Enter output data filename: Enter number of bytes per line (def=6144): Enter number of lines in file (def=40960): Enter real sampling rate (MHz) (def=90): Caltone frequency bin: 2113 first assume cal phase is between -180 and 0... total number of lines corrected: 1898 mean and stdev of caltone phase (deg): -115.306 6.76554 now assume cal phase is between 0 and 180... total number of lines corrected: 150 mean and stdev of caltone phase (deg): 69.49647 5.94136 low and high thresholds are: .0 180.0 processing line: 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 6500 7000 7500 8000 8500 9000 9500 10000 10500 11000 11500 12000 12500 13000 13500 14000 14500 15000 15500 16000 16500 17000 17500 18000 18500 19000 19500 20000 total number of lines corrected: 1707 mean(volts) and stdev of caltone mag: 310.6163 99.42538 mean and stdev of caltone phase (deg): 69.59941 5.60548 *********************************************** * * * program SHIFT_BYTE * * * * This program shifts the raw data based on * * the caltone phase of the range line. * * The user has the option to specify the * * range of caltone phase to flag for byte * * shifting. * * * *********************************************** Enter input data filename: Enter output data filename: Enter number of bytes per line (def=6144): Enter number of lines in file (def=40960): Enter real sampling rate (MHz) (def=90): Caltone frequency bin: 2113 first assume cal phase is between -180 and 0... total number of lines corrected: 1845 mean and stdev of caltone phase (deg): -115.599 4.55832 now assume cal phase is between 0 and 180... total number of lines corrected: 203 mean and stdev of caltone phase (deg): 68.91222 3.01413 low and high thresholds are: .0 180.0 processing line: 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 6500 7000 7500 8000 8500 9000 9500 10000 10500 11000 11500 12000 12500 13000 13500 14000 14500 15000 15500 16000 16500 17000 17500 18000 18500 19000 19500 20000 total number of lines corrected: 2064 mean(volts) and stdev of caltone mag: 617.3842 157.1562 mean and stdev of caltone phase (deg): 68.95554 2.87738 ***************************************************** * * * 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 after 1994. J2000 time = -141162902.260542 GPS J2000 time = -141162903.781368 Message 1 Time = -141162902.260542 INS Time = 2.061376 Roll angle = -.1043701171875 Pitch angle = .977783203125 Heading angle = -132.533569335938 Long. acc = .14 Lat. acc = -.22 Norm. acc = -9.76 East vel. = -154.024 North vel. = -152.731 Up vel. = .184 True Grnd Spd = 216.90625 Altitude = 8349.0 Latitude = 42.496731961146 Longitude = -85.4078897740692 Message 6 Week = 809 GPS Time = -141162903.781368 GDOP = 2.078125 PDOP = 1.875 HDOP = 1.171875 VDOP = 1.46875 TDOP = .875 Spherical Acc = 9.0 Time Acc = 1.000000000000000E-08 GPS Lat = 42.4987210627829 GPS Lon = -85.4051979101813 GPS Alt = 8352.0 GPS East Vel = -154.05 GPS North Vel = -152.67 GPS Up Vel = .17 Message 3 Del INU Time = 1.541376 Del vel east = .0 Del vel north = 1.464843750000000E-03 Del vel up = 3.662109375000000E-02 Del pos east = .625 Del pos north = .625 Del pos up = .375 Message 4 Sigma Pos x = 1.375 Sigma Pos y = 1.375 Sigma Pos z = 1.875 Sigma Vel x = 8.911132812500000E-03 Sigma Vel y = 8.300781250000000E-03 Sigma Vel z = 1.000976562500000E-02 Message 7 Satellites used = 15 24 9 12 2 12 Retrived Honeywell data... 2421 Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 15:50:07 FC=2,926,000 IDR=98900 drft -2.7; very stable pla tform; IGI looks greatdrft 3.8; very smooth ride; TurboRogue lo oks good (recording on 20MB flashcard); No P-band todayr, Micha l Kobrick, Timothy William MillerLori Ann Carrico, Timothy W. - - - - - - - - - - - - - - - - - - - - - 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: 95036 95036 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5255 prod ID1:*5255*5255* chrp_delay from subcomm header: 27.2 Parameter header created .. >> Record # : 128 >> GPS Stuff = 2.20 2 4 7 9 14 15 >> start range = 8604.0448 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 14 0 >> ratn_phv = 0 8 0 >> ratn_pvh = 0 8 0 >> ratn_pvv = 0 14 0 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 6 10 >> ratn_chv = 0 0 10 >> ratn_cvh = 0 0 10 >> ratn_cvv = 0 6 10 >> rcvr_chh = { >> rcvr_chv = À >> rcvr_cvh = >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 1 >> chrp_bnd = 40 >> chrp_len = 5 >> chrp_mod = DN Done decoding data from header array... Data collected on ==> 12-JUL-1995 Starting and end GPS times for SAR data -141162902.3900 -141162852.8290 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 hdg -132.52926 -132.58850 -132.46765 .0295422 0 trc -134.74824 -134.79265 -134.69738 .0291901 0 tgs 217.02809 216.90625 217.07813 .0370581 0 roll .04948 -.10986 .23071 .0923782 0 pitch .99292 .95581 1.03821 .0204046 0 lati 42.46558 42.43278 42.49872 .0192604 0 loni -85.45035 -85.49504 -85.40520 .0262460 0 latd 42.46875 42.43667 42.50167 .0192710 0 lond -85.44573 -85.49000 -85.40000 .0262127 0 balt 7930.25592 7929.37200 7931.20080 .4155513 0 ralt 8110.58894 8099.14560 8119.87200 4.6359853 0 dpth 1.08750 1.00000 1.10000 .0330719 0 droll .12594 -.10000 .30000 .1155790 0 thd 227.57531 227.50000 227.60000 .0431193 0 dad -2.39594 -2.50000 -2.30000 .0412583 0 latg 42.46370 42.42979 42.49709 .0192560 0 long -85.45201 -85.49823 -85.40655 .0262387 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8273.36050 8270.16992 8276.40039 1.7734458 0 phh_aten 14.00000 14.00000 14.00000 .0000000 0 phv_aten 8.00000 8.00000 8.00000 .0000000 0 pvh_aten 8.00000 8.00000 8.00000 .0000000 0 pvv_aten 14.00000 14.00000 14.00000 .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 16.00000 16.00000 16.00000 .0000000 0 chv_aten 10.00000 10.00000 10.00000 .0000000 0 cvh_aten 10.00000 10.00000 10.00000 .0000000 0 cvv_aten 16.00000 16.00000 16.00000 .0000000 0 hwlat 42.46348 42.43023 42.49673 .0192037 0 hwlon -85.48846 -170.90676 -85.40789 1.7365706 0 hwalt 8351.03642 8349.22516 8352.89639 1.1665454 0 hwev -154.14029 -154.26400 -154.00500 .0754489 0 hwnv -152.79147 -152.94400 -152.64300 .0886686 0 hwuv .02725 -.12200 .20300 .0774307 0 hwroll .04992 -.10437 .23071 .0921317 0 hwpitch .99295 .95581 1.03821 .0204266 0 hwhdg -132.58400 -265.08911 -132.46765 2.6937118 0 hwtrc -134.80388 -269.52070 -134.69738 2.7386649 0 hwtgs 217.02843 216.90625 217.07813 .0365400 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 19955 GPS time for first pulse = -141162902.389752 -141162902.39 New start and number of records = 110 40824 New start and number of blocks = 1 320 GPS trend coefficients = 3.02090345203697 -5.9306088186893 -.136944889265586 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 hdg -132.52923 -132.58850 -132.46765 .0295817 0 trc -134.74821 -134.79265 -134.69738 .0292329 0 tgs 217.02840 216.90625 217.07813 .0365774 0 roll .04994 -.10986 .23071 .0921602 0 pitch .99295 .95581 1.03821 .0204264 0 delx .25730 .00000 .25737 .0012737 0 lati 42.46558 42.43278 42.49872 .0192604 0 loni -85.45035 -85.49504 -85.40520 .0262460 0 latd 42.46875 42.43667 42.50167 .0192710 0 lond -85.44573 -85.49000 -85.40000 .0262127 0 balt 7930.25592 7929.37200 7931.20080 .4155513 0 ralt 8110.58894 8099.14560 8119.87200 4.6359853 0 dpth 1.08750 1.00000 1.10000 .0330719 0 droll .12594 -.10000 .30000 .1155790 0 thd 227.57531 227.50000 227.60000 .0431193 0 dad -2.39594 -2.50000 -2.30000 .0412583 0 latg 42.46370 42.43116 42.49709 .0192485 0 long -85.45200 -85.49635 -85.40655 .0262286 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8273.36050 8272.82783 8274.07860 .2715525 0 phh_aten 14.00000 14.00000 14.00000 .0000000 0 phv_aten 8.00000 8.00000 8.00000 .0000000 0 pvh_aten 8.00000 8.00000 8.00000 .0000000 0 pvv_aten 14.00000 14.00000 14.00000 .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 16.00000 16.00000 16.00000 .0000000 0 chv_aten 10.00000 10.00000 10.00000 .0000000 0 cvh_aten 10.00000 10.00000 10.00000 .0000000 0 cvv_aten 16.00000 16.00000 16.00000 .0000000 0 hwlat 42.46348 42.43026 42.49670 .0192037 0 hwlon -85.45318 -85.49842 -85.40793 .0261574 0 hwalt 8351.03642 8349.22911 8352.89609 1.1665427 0 hwev -154.14025 -154.26300 -154.00500 .0755532 0 hwnv -152.79137 -152.94300 -152.64400 .0887241 0 hwuv .02725 -.12200 .20300 .0774283 0 hwroll .04979 -.10437 .23071 .0920298 0 hwpitch .99287 .95581 1.03821 .0203724 0 hwhdg -132.52920 -132.58301 -132.46765 .0295404 0 hwtrc -134.74820 -134.79209 -134.69794 .0292408 0 hwtgs 217.02826 216.90625 217.07813 .0367312 0 Finished final analysis of data... Average Barometric Altitude = 7930.25592000003 Average Radar Altitude = 8110.588935000012 Average GPS Altitude = 8273.36049804687 >>Record # : 128 >>GPS Stuff = 2.20 2 4 7 9 1 >>Record # : 0 >>GPS Stuff = Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Enter a name for the peg data file. Positions and Distances Start position = 42.4967038 -85.4079282 8349.229 End position = 42.4302574 -85.4984162 8352.896 Loxodromic Heading (deg) = -134.7629763 Loxodromic Distance (km) = 10481.7973586 Geodesic Heading (deg) = -134.7324194 Geodesic Distance (km) = 10481.7968269 Peg latitude and longitude = 42.4634743 -85.4531783 Peg heading = -134.7384110 Rotation matrix First row = .058480865 -.670421593 .739672141 Second row = -.735386220 -.530012314 -.422248805 Third row = .675120060 -.519251225 -.524014379 Translation vector Vector = 677.58734 -8520.53739 -21047.86870 Local Radius of Curvature = 6376303.368774117 Start and end pulse used = 110 40933 Ellipsoidal delta s (m) = .2567620416650568 Delta s on reference surface = .256762043060028 Miscellaneous Information Start range = 8604.04475 Start ground range = 2871.921514849932 Time orgin = -141162902.389752 Pulse spacing = .2573015776392695 First frame = 3667137 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/cm5255_c.par Enter the raw data file name. /data1/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5255_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-107.263,.0) (94.64361,.0) (239.7638,.0) attenuation (dB): 16.0 Pulse#/64: 1 1057 5752.955 Pulse#/64: 65 1057 3204.705 Pulse#/64: 129 1057 141.5982 Pulse#/64: 193 1057 5092.619 Pulse#/64: 257 1057 4599.879 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1057 CalTone Bin offset : -990 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 37.06702Power RMS: 6.62971 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 94.67399Amp. RMS: 100.2118 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 4.77379Phase RMS: 248.8937 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 88.40621 CalTone Power Coherently dB : 37.06702 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 88.40621 Incoherent PW - Coherent PW : 51.33919 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 26260.54 CalTone Amplitude Coherently : 94.67399 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 26165.86 ------------ *** ------------ running time (sec): 128.48 ********** 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/cm5255_c.par Enter the raw data file name. /data1/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5255_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (85.3815,.0) (-85.3815,.0) (-3.16228,.0) attenuation (dB): 10.0 Pulse#/64: 1 1057 471.2028 Pulse#/64: 65 1057 25.79019 Pulse#/64: 129 1057 4748.311 Pulse#/64: 193 1057 8914.555 Pulse#/64: 257 1057 11329.93 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1057 CalTone Bin offset : -990 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 36.7232Power RMS: 7.05406 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 99.01041Amp. RMS: 119.1861 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 36.40723Phase RMS: 257.124 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 90.73341 CalTone Power Coherently dB : 36.7232 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 90.73341 Incoherent PW - Coherent PW : 54.01022 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 34412.45 CalTone Amplitude Coherently : 99.01041 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 34313.44 ------------ *** ------------ running time (sec): 129.09 ********** 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/cm5255_c.par Enter the raw data file name. /data1/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5255_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-3.16228,.0) (129.6534,.0) (-41.1096,.0) attenuation (dB): 10.0 Pulse#/64: 1 1057 302491.1 Pulse#/64: 65 1057 180.6179 Pulse#/64: 129 1057 6546.094 Pulse#/64: 193 1057 193.5121 Pulse#/64: 257 1057 81.22843 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1057 CalTone Bin offset : -990 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 35.31359Power RMS: 6.38467 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 76.05848Amp. RMS: 71.63433 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -19.8568Phase RMS: 264.3286 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 88.17527 CalTone Power Coherently dB : 35.31359 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 88.17527 Incoherent PW - Coherent PW : 52.86168 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 25667.67 CalTone Amplitude Coherently : 76.05848 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 25591.61 ------------ *** ------------ running time (sec): 128.90 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) CVV Enter the paramater file name. /data3/airops/cm5255_c.par Enter the raw data file name. /data1/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5255_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-12.6192,.0) (-151.43,.0) (12.61915,.0) attenuation (dB): 16.0 Pulse#/64: 1 1057 667498.6 Pulse#/64: 65 1057 12295.95 Pulse#/64: 129 1057 12868.52 Pulse#/64: 193 1057 304.7638 Pulse#/64: 257 1057 22722.85 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1057 CalTone Bin offset : -990 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 38.8258Power RMS: 6.74296 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 120.413Amp. RMS: 129.5332 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 112.3091Phase RMS: 214.3014 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 90.80533 CalTone Power Coherently dB : 38.8258 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 90.80533 Incoherent PW - Coherent PW : 51.97953 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 34675.37 CalTone Amplitude Coherently : 120.413 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 34554.95 ------------ *** ------------ running time (sec): 129.50 ********** 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: -2.82246 8.44318E-05 z fit: constant and linear terms: -.177758 9.67489E-05 y and z standard deviations (meters) .8455271 .2403404 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 = .5513678 .5471749 .5448068 .5469832 Differences = 3.78466E-03 -4.08292E-04 -2.77638E-03 -5.99980E-04 PATCH NUMER 2 First line = 1889 Averages = .5451747 .5458423 .5515823 .5590857 Differences = -5.24664E-03 -4.57895E-03 1.16098E-03 8.66443E-03 PATCH NUMER 3 First line = 3777 Averages = .5506827 .5577168 .566878 .5706766 Differences = -1.08060E-02 -3.77190E-03 5.38927E-03 9.18788E-03 PATCH NUMER 4 First line = 5665 Averages = .5652459 .570794 .5684034 .5647348 Differences = -2.04861E-03 3.49951E-03 1.10889E-03 -2.55966E-03 PATCH NUMER 5 First line = 7553 Averages = .5688829 .5653254 .5636603 .5691145 Differences = 2.13713E-03 -1.42038E-03 -3.08555E-03 2.36869E-03 PATCH NUMER 6 First line = 9441 Averages = .5634029 .5679603 .5680371 .5613943 Differences = -1.79571E-03 2.76172E-03 2.83849E-03 -3.80427E-03 PATCH NUMER 7 First line = 11329 Averages = .5693406 .5616025 .5592511 .5580891 Differences = 7.26980E-03 -4.68314E-04 -2.81972E-03 -3.98177E-03 PATCH NUMER 8 First line = 13217 Averages = .5600691 .5572655 .5581172 .5585062 Differences = 1.57970E-03 -1.22392E-03 -3.72291E-04 1.67489E-05 PATCH NUMER 9 First line = 15105 Averages = .5590163 .5572283 .5577505 .5551293 Differences = 1.73521E-03 -5.28693E-05 4.69327E-04 -2.15179E-03 PATCH NUMER 10 First line = 16993 Averages = .5589527 .5545552 .5547961 .5536057 Differences = 3.47525E-03 -9.22263E-04 -6.81400E-04 -1.87177E-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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.67000E-02 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .55 .71 .0 Receive leverarm x,y,z = .55 .71 .0 Name of raw data file? /data1/airops/c_hh Name of the mocomp data file? /data3/airops/cm5255_c.mocomph Output file name? /data3/airops/cm5255_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 = 5.773 Processing 10 blocks Processing block number 1 reference line: 2048 5.773 seconds. Range compression done, time = 97.039 shift in azimuth (fractional pixel)= -.499686 Motion comp. coeff. calculated, time = 97.100 Motion comp. added to patch, time = 176.790 Doppler estimation done, time = 176.790 Azimuth compression starting, time : 176.963 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 525.904 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 537.072 seconds. Range compression done, time = 623.635 shift in azimuth (fractional pixel)= -.499688 Motion comp. coeff. calculated, time = 623.656 Motion comp. added to patch, time = 701.292 Doppler estimation done, time = 701.292 Azimuth compression starting, time : 701.483 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1051.260 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 1062.862 seconds. Range compression done, time = 1150.884 shift in azimuth (fractional pixel)= -.499674 Motion comp. coeff. calculated, time = 1150.905 Motion comp. added to patch, time = 1228.256 Doppler estimation done, time = 1228.256 Azimuth compression starting, time : 1228.490 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1578.676 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 1590.640 seconds. Range compression done, time = 1678.376 shift in azimuth (fractional pixel)= -.49966 Motion comp. coeff. calculated, time = 1678.397 Motion comp. added to patch, time = 1755.470 Doppler estimation done, time = 1755.470 Azimuth compression starting, time : 1755.742 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2106.883 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 2119.241 seconds. Range compression done, time = 2206.909 shift in azimuth (fractional pixel)= -.499668 Motion comp. coeff. calculated, time = 2206.930 Motion comp. added to patch, time = 2283.172 Doppler estimation done, time = 2283.173 Azimuth compression starting, time : 2283.255 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2634.786 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 2647.812 seconds. Range compression done, time = 2734.827 shift in azimuth (fractional pixel)= -.499657 Motion comp. coeff. calculated, time = 2734.848 Motion comp. added to patch, time = 2811.274 Doppler estimation done, time = 2811.274 Azimuth compression starting, time : 2811.448 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3161.431 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 3174.449 seconds. Range compression done, time = 3261.326 shift in azimuth (fractional pixel)= -.49966 Motion comp. coeff. calculated, time = 3261.427 Motion comp. added to patch, time = 3338.257 Doppler estimation done, time = 3338.258 Azimuth compression starting, time : 3338.431 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3689.309 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 3703.076 seconds. Range compression done, time = 3791.297 shift in azimuth (fractional pixel)= -.499669 Motion comp. coeff. calculated, time = 3791.318 Motion comp. added to patch, time = 3868.429 Doppler estimation done, time = 3868.429 Azimuth compression starting, time : 3868.503 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4219.648 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 4234.730 seconds. Range compression done, time = 4322.463 shift in azimuth (fractional pixel)= -.499669 Motion comp. coeff. calculated, time = 4322.484 Motion comp. added to patch, time = 4399.023 Doppler estimation done, time = 4399.024 Azimuth compression starting, time : 4399.196 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4750.235 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 4765.606 seconds. Range compression done, time = 4851.882 shift in azimuth (fractional pixel)= -.499677 Motion comp. coeff. calculated, time = 4851.973 Motion comp. added to patch, time = 4928.284 Doppler estimation done, time = 4928.284 Azimuth compression starting, time : 4928.496 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 5278.260 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_c.hh Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 1898 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1897 1898 3002 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3001 Processing block number 3 3002 3796 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3795 3796 4900 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4899 Processing block number 4 4900 5687 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5686 5687 6791 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6790 Processing block number 5 6791 7574 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7573 7574 8678 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8677 Processing block number 6 8678 9460 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9459 9460 10564 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10563 Processing block number 7 10564 11343 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11342 11343 12447 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12446 Processing block number 8 159 942 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13229 942 2046 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14333 Processing block number 9 2046 2830 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15117 2830 3934 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16221 Processing block number 10 3934 4108 -1 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16395 4108 5212 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17499 Writing the last 1850 lines Total # of output lines = 19349 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.67000E-02 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .55 .71 .0 Receive leverarm x,y,z = .55 .71 .0 Name of raw data file? /data1/airops/c_hv Name of the mocomp data file? /data3/airops/cm5255_c.mocomph Output file name? /data3/airops/cm5255_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 = 5.501 Processing 10 blocks Processing block number 1 reference line: 2048 5.502 seconds. Range compression done, time = 82.051 shift in azimuth (fractional pixel)= -.499686 Motion comp. coeff. calculated, time = 82.213 Motion comp. added to patch, time = 162.061 Doppler estimation done, time = 162.062 Azimuth compression starting, time : 162.174 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 511.044 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 520.322 seconds. Range compression done, time = 592.523 shift in azimuth (fractional pixel)= -.499688 Motion comp. coeff. calculated, time = 592.544 Motion comp. added to patch, time = 668.539 Doppler estimation done, time = 668.539 Azimuth compression starting, time : 668.811 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1022.214 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 1032.446 seconds. Range compression done, time = 1103.665 shift in azimuth (fractional pixel)= -.499674 Motion comp. coeff. calculated, time = 1103.766 Motion comp. added to patch, time = 1180.973 Doppler estimation done, time = 1180.974 Azimuth compression starting, time : 1181.047 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1533.968 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 1545.741 seconds. Range compression done, time = 1619.560 shift in azimuth (fractional pixel)= -.49966 Motion comp. coeff. calculated, time = 1619.582 Motion comp. added to patch, time = 1697.659 Doppler estimation done, time = 1697.660 Azimuth compression starting, time : 1698.340 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2052.222 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 2061.745 seconds. Range compression done, time = 2136.623 shift in azimuth (fractional pixel)= -.499668 Motion comp. coeff. calculated, time = 2136.644 Motion comp. added to patch, time = 2214.587 Doppler estimation done, time = 2214.587 Azimuth compression starting, time : 2214.758 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2572.002 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 2584.870 seconds. Range compression done, time = 2658.251 shift in azimuth (fractional pixel)= -.499657 Motion comp. coeff. calculated, time = 2658.362 Motion comp. added to patch, time = 2737.140 Doppler estimation done, time = 2737.140 Azimuth compression starting, time : 2737.314 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3093.128 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 3106.235 seconds. Range compression done, time = 3180.015 shift in azimuth (fractional pixel)= -.49966 Motion comp. coeff. calculated, time = 3180.036 Motion comp. added to patch, time = 3259.034 Doppler estimation done, time = 3259.034 Azimuth compression starting, time : 3259.168 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3616.999 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 3630.769 seconds. Range compression done, time = 3704.685 shift in azimuth (fractional pixel)= -.499669 Motion comp. coeff. calculated, time = 3704.707 Motion comp. added to patch, time = 3780.911 Doppler estimation done, time = 3780.911 Azimuth compression starting, time : 3780.986 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4138.624 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 4153.688 seconds. Range compression done, time = 4227.165 shift in azimuth (fractional pixel)= -.499669 Motion comp. coeff. calculated, time = 4227.186 Motion comp. added to patch, time = 4305.363 Doppler estimation done, time = 4305.363 Azimuth compression starting, time : 4305.446 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4665.451 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 4680.882 seconds. Range compression done, time = 4753.442 shift in azimuth (fractional pixel)= -.499677 Motion comp. coeff. calculated, time = 4753.563 Motion comp. added to patch, time = 4832.194 Doppler estimation done, time = 4832.195 Azimuth compression starting, time : 4832.382 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 5191.990 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_c.hv Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 1898 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1897 1898 3002 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3001 Processing block number 3 3002 3796 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3795 3796 4900 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4899 Processing block number 4 4900 5687 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5686 5687 6791 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6790 Processing block number 5 6791 7574 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7573 7574 8678 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8677 Processing block number 6 8678 9460 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9459 9460 10564 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10563 Processing block number 7 10564 11343 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11342 11343 12447 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12446 Processing block number 8 159 942 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13229 942 2046 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14333 Processing block number 9 2046 2830 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15117 2830 3934 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16221 Processing block number 10 3934 4108 -1 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16395 4108 5212 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17499 Writing the last 1850 lines Total # of output lines = 19349 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.67000E-02 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .55 .71 .0 Receive leverarm x,y,z = .55 .71 .0 Name of raw data file? /data1/airops/c_vh Name of the mocomp data file? /data3/airops/cm5255_c.mocompv Output file name? /data3/airops/cm5255_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 = 5.902 Processing 10 blocks Processing block number 1 reference line: 2048 5.903 seconds. Range compression done, time = 84.840 Motion comp. coeff. calculated, time = 84.862 Motion comp. added to patch, time = 166.233 Doppler estimation done, time = 166.233 Azimuth compression starting, time : 166.395 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 533.006 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 542.229 seconds. Range compression done, time = 615.464 Motion comp. coeff. calculated, time = 615.485 Motion comp. added to patch, time = 691.827 Doppler estimation done, time = 691.827 Azimuth compression starting, time : 691.910 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1058.003 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 1068.215 seconds. Range compression done, time = 1142.484 Motion comp. coeff. calculated, time = 1142.504 Motion comp. added to patch, time = 1221.788 Doppler estimation done, time = 1221.788 Azimuth compression starting, time : 1221.860 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1593.812 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 1605.530 seconds. Range compression done, time = 1679.768 Motion comp. coeff. calculated, time = 1679.790 Motion comp. added to patch, time = 1757.783 Doppler estimation done, time = 1757.783 Azimuth compression starting, time : 1757.939 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2129.512 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 2139.115 seconds. Range compression done, time = 2214.293 Motion comp. coeff. calculated, time = 2214.314 Motion comp. added to patch, time = 2293.033 Doppler estimation done, time = 2293.034 Azimuth compression starting, time : 2293.205 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2662.464 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 2675.368 seconds. Range compression done, time = 2748.371 Motion comp. coeff. calculated, time = 2748.392 Motion comp. added to patch, time = 2825.693 Doppler estimation done, time = 2825.694 Azimuth compression starting, time : 2825.769 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3189.303 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 3202.347 seconds. Range compression done, time = 3274.683 Motion comp. coeff. calculated, time = 3274.704 Motion comp. added to patch, time = 3352.492 Doppler estimation done, time = 3352.492 Azimuth compression starting, time : 3352.633 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3721.704 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 3736.661 seconds. Range compression done, time = 3811.038 Motion comp. coeff. calculated, time = 3811.059 Motion comp. added to patch, time = 3889.828 Doppler estimation done, time = 3889.828 Azimuth compression starting, time : 3890.001 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4258.281 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 4273.282 seconds. Range compression done, time = 4347.081 Motion comp. coeff. calculated, time = 4347.202 Motion comp. added to patch, time = 4424.794 Doppler estimation done, time = 4424.794 Azimuth compression starting, time : 4424.866 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4794.829 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 4810.203 seconds. Range compression done, time = 4883.784 Motion comp. coeff. calculated, time = 4883.806 Motion comp. added to patch, time = 4962.271 Doppler estimation done, time = 4962.271 Azimuth compression starting, time : 4962.510 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 5332.229 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_c.vh Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 1898 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1897 1898 3002 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3001 Processing block number 3 3002 3796 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3795 3796 4900 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4899 Processing block number 4 4900 5687 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5686 5687 6791 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6790 Processing block number 5 6791 7574 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7573 7574 8678 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8677 Processing block number 6 8678 9460 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9459 9460 10564 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10563 Processing block number 7 10564 11343 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11342 11343 12447 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12446 Processing block number 8 159 942 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13229 942 2046 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14333 Processing block number 9 2046 2830 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15117 2830 3934 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16221 Processing block number 10 3934 4108 -1 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16395 4108 5212 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17499 Writing the last 1850 lines Total # of output lines = 19349 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.67000E-02 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .55 .71 .0 Receive leverarm x,y,z = .55 .71 .0 Name of raw data file? /data1/airops/c_vv Name of the mocomp data file? /data3/airops/cm5255_c.mocompv Output file name? /data3/airops/cm5255_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 = 6.008 Processing 10 blocks Processing block number 1 reference line: 2048 6.009 seconds. Range compression done, time = 100.654 Motion comp. coeff. calculated, time = 100.676 Motion comp. added to patch, time = 183.500 Doppler estimation done, time = 183.501 Azimuth compression starting, time : 183.602 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 544.173 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 553.586 seconds. Range compression done, time = 644.980 Motion comp. coeff. calculated, time = 645.001 Motion comp. added to patch, time = 723.972 Doppler estimation done, time = 723.972 Azimuth compression starting, time : 724.044 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1083.378 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 1093.714 seconds. Range compression done, time = 1184.775 Motion comp. coeff. calculated, time = 1184.796 Motion comp. added to patch, time = 1264.241 Doppler estimation done, time = 1264.241 Azimuth compression starting, time : 1264.373 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1624.969 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 1636.752 seconds. Range compression done, time = 1727.514 Motion comp. coeff. calculated, time = 1727.535 Motion comp. added to patch, time = 1806.751 Doppler estimation done, time = 1806.751 Azimuth compression starting, time : 1807.023 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2167.391 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 2177.086 seconds. Range compression done, time = 2267.197 Motion comp. coeff. calculated, time = 2267.318 Motion comp. added to patch, time = 2346.662 Doppler estimation done, time = 2346.662 Azimuth compression starting, time : 2346.765 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2703.234 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 2716.188 seconds. Range compression done, time = 2806.359 Motion comp. coeff. calculated, time = 2806.380 Motion comp. added to patch, time = 2885.512 Doppler estimation done, time = 2885.512 Azimuth compression starting, time : 2885.584 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3244.967 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 3258.241 seconds. Range compression done, time = 3348.783 Motion comp. coeff. calculated, time = 3348.804 Motion comp. added to patch, time = 3427.708 Doppler estimation done, time = 3427.708 Azimuth compression starting, time : 3427.841 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3787.199 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 3802.263 seconds. Range compression done, time = 3892.584 Motion comp. coeff. calculated, time = 3892.605 Motion comp. added to patch, time = 3971.309 Doppler estimation done, time = 3971.309 Azimuth compression starting, time : 3971.481 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4331.466 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 4346.555 seconds. Range compression done, time = 4436.753 Motion comp. coeff. calculated, time = 4436.774 Motion comp. added to patch, time = 4515.367 Doppler estimation done, time = 4515.367 Azimuth compression starting, time : 4515.539 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 4874.751 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 4890.282 seconds. Range compression done, time = 4980.062 Motion comp. coeff. calculated, time = 4980.223 Motion comp. added to patch, time = 5058.339 Doppler estimation done, time = 5058.339 Azimuth compression starting, time : 5058.541 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 5413.980 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_c.vv Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 1898 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1897 1898 3002 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3001 Processing block number 3 3002 3796 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3795 3796 4900 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4899 Processing block number 4 4900 5687 3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5686 5687 6791 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6790 Processing block number 5 6791 7574 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7573 7574 8678 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8677 Processing block number 6 8678 9460 -2 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9459 9460 10564 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10563 Processing block number 7 10564 11343 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11342 11343 12447 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12446 Processing block number 8 159 942 -1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13229 942 2046 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14333 Processing block number 9 2046 2830 0 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15117 2830 3934 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16221 Processing block number 10 3934 4108 -1 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16395 4108 5212 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17499 Writing the last 1850 lines Total # of output lines = 19349 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: 1074 *************************************** ***** ***** ***** 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 95036 writing parheadC writing parhead 40.0 writing parhead 90.7 writing parhead 88.2 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9469022 -23.9007 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 .000 .037 .321 .601 .694 .593 .222 .050 .005 .001 .008 .211 .548 .657 .503 .170 .042 .005 .001 .019 .142 .419 .693 .521 .204 .088 .013 .000 .039 .146 .412 .890 .640 .242 .099 .009 .013 .017 .115 .435 1.000 .683 .213 .068 .001 .089 .001 .084 .382 .821 .554 .175 .055 .000 .104 .000 .120 .432 .704 .434 .136 .036 .001 .038 .001 .142 .553 .825 .472 .132 .016 .000 .016 .001 .091 .522 .982 .600 .153 .025 .000 r_peak,r_snr = .2410298 9.21059 Correlation Surface of oversamples image at 146 3046 .275 .458 .632 .748 .743 .610 .427 .273 .179 .240 .423 .646 .820 .830 .682 .493 .342 .240 .238 .428 .689 .909 .925 .748 .539 .388 .282 .245 .448 .729 .972 .991 .788 .554 .400 .294 .224 .441 .727 .972 1.000 .793 .545 .385 .283 .173 .388 .667 .905 .945 .758 .516 .353 .256 .129 .329 .588 .810 .857 .692 .468 .311 .221 .118 .304 .535 .729 .767 .617 .412 .268 .188 .144 .323 .527 .688 .706 .561 .373 .242 .171 146 .281 3046 -3.219 9.21059 .007583 .063862 .001251 Correlation Surface at 246 3046 .044 .011 .011 .146 .519 .761 .435 .173 .055 .047 .015 .057 .354 .721 .747 .457 .233 .107 .039 .010 .072 .453 .914 .767 .336 .155 .113 .013 .006 .076 .417 .989 .902 .301 .092 .064 .000 .003 .080 .370 1.000 .937 .269 .103 .059 .000 .009 .067 .290 .856 .789 .275 .165 .125 .014 .038 .053 .196 .618 .648 .378 .211 .131 .078 .082 .074 .162 .498 .598 .438 .244 .113 .189 .120 .086 .145 .471 .654 .450 .255 .121 r_peak,r_snr = .1838494 6.22232 Correlation Surface of oversamples image at 246 3046 .098 .273 .519 .721 .767 .660 .494 .348 .232 .137 .351 .625 .825 .829 .661 .457 .303 .199 .149 .384 .688 .918 .914 .695 .439 .257 .149 .131 .362 .680 .952 .982 .743 .441 .227 .107 .099 .299 .610 .914 1.000 .783 .454 .215 .088 .070 .232 .522 .843 .978 .796 .464 .214 .088 .048 .181 .451 .779 .936 .776 .457 .218 .102 .034 .147 .408 .742 .904 .755 .459 .237 .130 .024 .123 .376 .713 .876 .748 .489 .281 .173 246 -.594 3046 3.094 6.22232 .018909 .401522 -.012825 Correlation Surface at 346 3046 .584 .700 .713 .832 .901 .886 .747 .613 .635 .616 .719 .724 .802 .855 .838 .762 .605 .607 .662 .748 .796 .829 .828 .803 .778 .625 .603 .751 .789 .832 .875 .881 .841 .795 .694 .668 .791 .818 .810 .884 1.000 .933 .804 .779 .799 .729 .762 .760 .845 .990 .936 .828 .844 .935 .713 .755 .764 .832 .892 .843 .802 .844 .934 .748 .847 .844 .845 .853 .790 .700 .711 .765 .726 .858 .881 .824 .878 .833 .629 .563 .610 r_peak,r_snr = .4348514 1.56164 Correlation Surface of oversamples image at 346 3046 .670 .722 .790 .850 .869 .836 .774 .705 .641 .681 .732 .804 .871 .898 .871 .804 .729 .669 .690 .737 .817 .900 .940 .915 .843 .762 .703 .703 .742 .828 .926 .983 .965 .891 .806 .743 .709 .741 .825 .930 1.000 .996 .933 .851 .780 .695 .725 .805 .908 .983 .997 .954 .885 .812 .668 .705 .783 .880 .950 .969 .940 .891 .825 .646 .689 .768 .859 .915 .917 .884 .849 .805 .647 .687 .763 .847 .883 .855 .800 .767 .749 346 .250 3046 2.156 1.56164 .034130 .062071 -.016957 Correlation Surface at 446 3046 .006 .017 .048 .249 .541 .377 .066 .001 .000 .002 .019 .070 .222 .515 .375 .051 .001 .002 .001 .001 .049 .269 .531 .357 .041 .000 .002 .002 .002 .015 .417 .849 .377 .029 .000 .008 .003 .016 .000 .350 1.000 .430 .019 .000 .019 .033 .040 .003 .197 .685 .374 .040 .004 .027 .023 .018 .000 .149 .451 .244 .042 .017 .022 .001 .000 .010 .170 .415 .189 .011 .018 .020 .000 .005 .022 .200 .375 .175 .012 .024 .042 r_peak,r_snr = .2231008 19.46312 Correlation Surface of oversamples image at 446 3046 .036 .095 .203 .360 .488 .480 .336 .171 .060 .029 .120 .282 .477 .585 .518 .332 .158 .053 .021 .136 .373 .645 .765 .621 .351 .140 .036 .010 .125 .414 .774 .943 .746 .382 .123 .018 .002 .091 .376 .777 1.000 .808 .398 .110 .009 .000 .056 .294 .668 .908 .761 .381 .105 .008 .001 .038 .221 .524 .738 .636 .330 .102 .014 .000 .036 .183 .416 .581 .501 .264 .092 .022 .001 .044 .177 .371 .493 .412 .212 .073 .020 446 .031 3046 -.063 19.46312 .005076 .031019 -.002585 Correlation Surface at 546 3046 .011 .077 .218 .539 .737 .441 .157 .072 .050 .016 .082 .187 .447 .678 .364 .091 .036 .037 .047 .094 .156 .392 .681 .406 .104 .023 .011 .078 .143 .199 .545 .850 .541 .153 .034 .002 .068 .194 .286 .745 1.000 .550 .131 .055 .014 .068 .222 .322 .720 .998 .542 .102 .033 .031 .087 .230 .323 .624 .916 .595 .156 .027 .022 .093 .167 .266 .522 .776 .539 .199 .047 .011 .076 .111 .247 .448 .617 .394 .125 .024 .002 r_peak,r_snr = .260195 8.9842 Correlation Surface of oversamples image at 546 3046 .189 .316 .499 .678 .726 .589 .377 .205 .111 .217 .367 .584 .781 .824 .674 .438 .234 .120 .258 .419 .660 .878 .923 .760 .492 .248 .111 .298 .452 .692 .922 .984 .823 .530 .252 .095 .324 .459 .683 .915 1.000 .854 .552 .258 .089 .325 .445 .659 .894 .995 .860 .570 .283 .105 .298 .407 .623 .876 .983 .844 .578 .320 .143 .248 .345 .560 .830 .938 .793 .554 .339 .183 .193 .277 .471 .731 .837 .699 .488 .314 .190 546 -.063 3046 -1.156 8.98420 .011036 .185740 .015092 Correlation Surface at 646 3046 .002 .003 .002 .070 .122 .044 .005 .000 .000 .000 .001 .008 .143 .248 .103 .016 .001 .000 .000 .000 .029 .314 .528 .227 .042 .004 .000 .000 .001 .060 .505 .869 .398 .079 .012 .000 .000 .001 .067 .557 1.000 .495 .104 .016 .001 .000 .000 .050 .451 .823 .414 .085 .012 .001 .001 .001 .029 .276 .517 .253 .047 .006 .000 .000 .000 .011 .125 .256 .122 .019 .003 .000 .000 .000 .002 .047 .120 .057 .006 .001 .000 r_peak,r_snr = .6148936 41.92237 Correlation Surface of oversamples image at 646 3046 .029 .120 .296 .474 .506 .375 .209 .097 .041 .045 .166 .398 .637 .688 .518 .293 .137 .059 .058 .206 .485 .781 .858 .659 .377 .178 .077 .065 .227 .536 .870 .973 .761 .441 .208 .089 .064 .227 .540 .884 1.000 .791 .462 .216 .091 .057 .210 .503 .827 .938 .746 .435 .201 .082 .049 .182 .438 .717 .813 .645 .373 .169 .067 .040 .148 .356 .581 .656 .517 .296 .131 .050 .031 .112 .268 .439 .494 .388 .218 .094 .034 646 -.094 3046 -.125 41.92237 .000717 .003773 -.000102 Correlation Surface at 746 3046 .070 .359 .692 .940 .667 .306 .156 .053 .036 .034 .233 .378 .607 .648 .297 .136 .057 .045 .042 .192 .302 .487 .614 .309 .100 .027 .025 .017 .132 .320 .645 .849 .346 .097 .007 .007 .007 .058 .238 .593 1.000 .441 .125 .010 .001 .048 .053 .204 .445 .927 .486 .110 .006 .000 .079 .084 .218 .450 .872 .433 .050 .000 .000 .044 .094 .217 .483 .911 .486 .056 .000 .001 .060 .108 .223 .414 .883 .656 .145 .005 .002 r_peak,r_snr = .2241599 7.52102 Correlation Surface of oversamples image at 746 3046 .329 .395 .564 .761 .757 .533 .296 .160 .093 .383 .464 .628 .811 .792 .551 .305 .167 .098 .375 .489 .685 .888 .870 .599 .333 .194 .125 .313 .442 .674 .930 .952 .677 .390 .244 .175 .246 .362 .597 .902 1.000 .765 .470 .308 .234 .208 .302 .507 .825 .996 .827 .541 .358 .266 .197 .280 .450 .742 .948 .834 .560 .355 .239 .200 .290 .443 .699 .893 .802 .528 .299 .169 .214 .325 .486 .717 .876 .771 .485 .238 .103 746 -.094 3046 -2.906 7.52102 .009727 .139370 -.017603 Correlation Surface at 846 3046 .009 .001 .072 .521 .388 .073 .006 .026 .065 .014 .001 .076 .505 .454 .154 .030 .032 .054 .026 .002 .076 .486 .595 .278 .057 .000 .001 .028 .001 .068 .530 .824 .394 .071 .002 .006 .037 .006 .121 .769 1.000 .430 .089 .006 .000 .062 .018 .141 .752 .816 .376 .123 .019 .005 .126 .076 .131 .408 .374 .199 .090 .010 .021 .080 .142 .161 .225 .138 .061 .021 .008 .075 .011 .073 .172 .266 .106 .027 .000 .014 .153 r_peak,r_snr = .157973 11.58443 Correlation Surface of oversamples image at 846 3046 .000 .036 .199 .508 .771 .785 .596 .371 .188 .001 .034 .179 .479 .789 .873 .715 .474 .253 .005 .053 .209 .519 .853 .952 .777 .508 .274 .017 .091 .282 .617 .941 .999 .773 .477 .256 .034 .134 .365 .718 1.000 .989 .720 .428 .236 .045 .158 .412 .755 .976 .916 .655 .406 .248 .048 .154 .393 .688 .841 .769 .573 .400 .282 .059 .144 .329 .543 .633 .570 .450 .359 .288 .086 .144 .258 .377 .414 .359 .288 .252 .225 846 .750 3046 2.938 11.58443 .022754 .115119 .012790 Correlation Surface at 946 3046 .000 .007 .097 .477 .707 .284 .030 .000 .000 .000 .011 .081 .460 .932 .409 .072 .004 .003 .001 .021 .115 .417 .895 .414 .058 .010 .007 .000 .031 .202 .545 .915 .451 .049 .011 .016 .003 .049 .264 .680 1.000 .539 .089 .009 .005 .015 .066 .284 .711 .877 .419 .082 .002 .001 .026 .064 .241 .653 .680 .287 .054 .002 .003 .016 .055 .221 .626 .593 .202 .028 .003 .001 .006 .055 .236 .543 .508 .165 .011 .003 .000 r_peak,r_snr = .2327588 15.23979 Correlation Surface of oversamples image at 946 3046 .082 .181 .377 .664 .847 .714 .403 .163 .055 .117 .246 .451 .717 .879 .743 .423 .167 .052 .156 .324 .556 .809 .939 .786 .455 .182 .055 .190 .393 .657 .905 .998 .821 .488 .210 .069 .217 .438 .720 .954 1.000 .802 .486 .227 .085 .235 .455 .726 .924 .920 .713 .432 .214 .088 .243 .448 .685 .830 .788 .589 .354 .180 .075 .244 .430 .626 .722 .652 .471 .281 .143 .058 .239 .411 .579 .637 .548 .382 .226 .115 .045 946 -.125 3046 2.844 15.23979 .011515 .136481 .012095 Correlation Surface at 1046 3046 .069 .064 .138 .382 .626 .353 .100 .010 .008 .048 .063 .153 .481 .690 .432 .088 .000 .000 .027 .038 .132 .553 .722 .403 .054 .003 .003 .029 .048 .213 .823 .946 .376 .057 .004 .000 .026 .063 .246 .883 1.000 .351 .043 .031 .011 .015 .051 .158 .576 .641 .255 .028 .022 .061 .004 .031 .141 .494 .583 .240 .044 .013 .061 .000 .021 .143 .567 .814 .341 .057 .005 .015 .001 .025 .136 .569 .917 .378 .052 .002 .011 r_peak,r_snr = .2129467 7.89811 Correlation Surface of oversamples image at 1046 3046 .000 .040 .217 .473 .669 .765 .755 .600 .353 .000 .035 .233 .530 .721 .791 .790 .649 .371 .001 .051 .276 .609 .790 .798 .751 .617 .360 .011 .098 .367 .728 .897 .828 .699 .546 .332 .031 .164 .473 .842 1.000 .875 .667 .478 .300 .034 .192 .507 .846 .995 .870 .638 .430 .270 .016 .152 .435 .720 .846 .766 .579 .394 .250 .002 .084 .302 .533 .643 .607 .492 .358 .237 .000 .039 .184 .373 .492 .491 .417 .322 .226 1046 -.500 3046 -4.750 7.89811 .011514 .040363 -.001196 Correlation Surface at 1146 3046 .044 .162 .394 .639 .767 .684 .496 .231 .108 .030 .088 .281 .575 .814 .681 .461 .255 .120 .054 .114 .336 .606 .830 .696 .434 .259 .120 .083 .183 .439 .755 .920 .817 .506 .266 .114 .050 .155 .381 .771 1.000 .873 .571 .304 .145 .019 .077 .231 .589 .918 .763 .478 .270 .168 .015 .056 .167 .479 .827 .674 .374 .213 .157 .016 .064 .187 .488 .808 .619 .362 .227 .162 .021 .054 .192 .528 .816 .600 .382 .271 .196 r_peak,r_snr = .3405185 5.86382 Correlation Surface of oversamples image at 1146 3046 .242 .384 .530 .662 .777 .834 .786 .650 .499 .311 .471 .624 .738 .818 .853 .814 .695 .542 .364 .534 .707 .830 .890 .897 .851 .746 .600 .371 .541 .734 .892 .966 .954 .881 .772 .637 .330 .493 .698 .893 1.000 .987 .882 .750 .620 .268 .421 .627 .840 .979 .982 .860 .698 .560 .214 .353 .549 .761 .918 .949 .833 .649 .491 .175 .299 .476 .677 .842 .899 .803 .612 .434 .152 .259 .419 .613 .782 .853 .774 .589 .398 1146 -.281 3046 .156 5.86382 .019365 .081322 -.010611 Correlation Surface at 1246 3046 .000 .029 .177 .461 .457 .156 .030 .009 .015 .000 .027 .225 .555 .577 .209 .023 .001 .011 .000 .029 .268 .695 .642 .214 .019 .000 .008 .000 .014 .237 .812 .849 .259 .024 .001 .012 .003 .000 .123 .723 1.000 .351 .045 .020 .044 .022 .008 .053 .560 .997 .452 .084 .028 .034 .025 .010 .039 .488 .910 .487 .093 .009 .003 .001 .001 .028 .466 .828 .409 .048 .000 .000 .006 .006 .026 .357 .696 .310 .022 .002 .000 r_peak,r_snr = .2743299 13.72353 Correlation Surface of oversamples image at 1246 3046 .111 .246 .425 .559 .572 .472 .314 .163 .063 .119 .276 .495 .659 .654 .503 .311 .149 .051 .121 .298 .558 .779 .793 .603 .358 .164 .055 .109 .291 .574 .855 .935 .750 .455 .213 .078 .078 .244 .521 .837 1.000 .874 .568 .282 .113 .040 .170 .418 .738 .961 .918 .646 .342 .148 .014 .102 .312 .614 .861 .880 .658 .367 .167 .004 .063 .237 .515 .762 .809 .624 .360 .169 .002 .048 .200 .457 .694 .745 .583 .345 .163 1246 -.406 3046 -1.313 13.72353 .010011 .201399 -.031715 Correlation Surface at 1346 3046 .000 .030 .226 .480 .841 .870 .293 .040 .029 .001 .049 .201 .430 .810 .736 .269 .037 .008 .004 .062 .182 .423 .830 .581 .176 .039 .005 .005 .037 .134 .487 .966 .575 .148 .034 .012 .001 .021 .108 .519 1.000 .558 .105 .008 .005 .001 .034 .170 .525 .805 .455 .083 .001 .001 .014 .052 .205 .486 .614 .359 .101 .015 .000 .063 .065 .131 .372 .539 .272 .095 .040 .015 .098 .064 .049 .224 .461 .240 .079 .047 .022 r_peak,r_snr = .2417074 10.68872 Correlation Surface of oversamples image at 1346 3046 .060 .165 .387 .684 .892 .892 .726 .522 .324 .054 .128 .327 .645 .888 .882 .676 .448 .276 .060 .120 .309 .646 .915 .900 .670 .434 .277 .063 .129 .331 .686 .964 .932 .693 .462 .308 .055 .143 .373 .740 1.000 .946 .705 .487 .331 .043 .155 .417 .780 .999 .915 .677 .472 .312 .038 .173 .463 .810 .972 .850 .613 .413 .252 .042 .206 .517 .836 .937 .776 .529 .334 .185 .049 .235 .548 .825 .875 .689 .441 .255 .131 1346 .125 3046 .188 10.68872 .007474 .098909 .006119 Correlation Surface at 1446 3046 .018 .022 .133 .519 .759 .457 .187 .055 .030 .016 .013 .079 .429 .765 .555 .281 .063 .028 .004 .002 .038 .371 .825 .624 .212 .038 .019 .000 .000 .040 .430 .993 .646 .115 .024 .022 .019 .007 .058 .503 1.000 .508 .106 .031 .022 .048 .011 .075 .525 .895 .435 .164 .073 .026 .039 .002 .112 .493 .744 .492 .273 .135 .046 .025 .000 .099 .367 .622 .490 .342 .130 .038 .004 .001 .061 .250 .570 .414 .247 .095 .026 r_peak,r_snr = .2038915 10.20052 Correlation Surface of oversamples image at 1446 3046 .043 .130 .328 .608 .804 .806 .604 .325 .127 .046 .147 .368 .677 .884 .858 .608 .297 .100 .055 .178 .426 .762 .956 .874 .585 .269 .083 .066 .210 .480 .830 .998 .845 .529 .240 .079 .080 .240 .515 .856 1.000 .801 .471 .220 .087 .097 .266 .524 .835 .966 .771 .451 .225 .111 .117 .284 .508 .777 .909 .764 .483 .271 .158 .131 .284 .468 .696 .843 .772 .555 .355 .228 .124 .254 .403 .602 .766 .763 .612 .435 .290 1446 -.031 3046 -.688 10.20052 .016035 .719744 .072050 Correlation Surface at 1546 3046 .001 .001 .046 .270 .619 .433 .142 .023 .002 .000 .001 .041 .329 .789 .593 .173 .028 .000 .003 .000 .059 .412 .884 .705 .153 .008 .000 .000 .001 .117 .578 .995 .723 .155 .005 .000 .003 .000 .108 .568 1.000 .633 .152 .010 .001 .001 .002 .066 .465 .874 .563 .156 .013 .000 .000 .000 .087 .498 .783 .526 .196 .022 .001 .000 .000 .104 .492 .685 .498 .223 .049 .001 .001 .001 .058 .377 .624 .544 .232 .062 .014 r_peak,r_snr = .2350516 11.24702 Correlation Surface of oversamples image at 1546 3046 .010 .101 .281 .523 .779 .865 .662 .335 .108 .021 .143 .351 .598 .828 .894 .685 .344 .105 .035 .184 .430 .697 .896 .911 .681 .342 .106 .039 .195 .476 .781 .966 .923 .662 .329 .104 .030 .170 .463 .810 1.000 .918 .634 .311 .098 .020 .138 .419 .779 .970 .877 .600 .298 .095 .016 .123 .385 .717 .883 .793 .557 .291 .097 .021 .135 .378 .661 .785 .699 .512 .293 .109 .035 .169 .397 .626 .711 .625 .473 .297 .126 1546 .094 3046 -.969 11.24702 .009954 .306668 .004175 Correlation Surface at 1646 3046 .002 .012 .109 .337 .505 .320 .056 .004 .049 .001 .029 .157 .401 .564 .318 .046 .001 .027 .003 .027 .173 .472 .700 .366 .046 .002 .020 .003 .013 .136 .508 .904 .484 .061 .004 .026 .000 .009 .107 .492 1.000 .563 .081 .003 .036 .000 .009 .094 .424 .870 .528 .090 .001 .039 .006 .003 .069 .383 .754 .450 .083 .000 .032 .018 .001 .056 .363 .710 .383 .080 .000 .026 .023 .001 .075 .330 .580 .340 .095 .002 .025 r_peak,r_snr = .3768557 14.381 Correlation Surface of oversamples image at 1646 3046 .267 .428 .607 .757 .785 .639 .387 .159 .034 .238 .406 .614 .810 .869 .720 .447 .194 .047 .202 .368 .599 .844 .948 .801 .503 .227 .061 .171 .329 .569 .851 .994 .853 .534 .243 .070 .150 .298 .535 .832 1.000 .868 .539 .242 .071 .142 .280 .506 .797 .974 .855 .531 .235 .068 .140 .275 .490 .762 .930 .823 .516 .228 .064 .136 .279 .497 .752 .898 .790 .499 .223 .061 .127 .284 .521 .773 .890 .762 .478 .215 .060 1646 .031 3046 -.156 14.38100 .002659 .032133 -.001575 Correlation Surface at 1746 3046 .001 .023 .053 .070 .285 .387 .287 .115 .061 .003 .021 .036 .089 .251 .221 .169 .075 .060 .009 .014 .032 .157 .350 .188 .091 .046 .041 .001 .005 .046 .355 .730 .406 .107 .020 .010 .000 .005 .082 .542 1.000 .572 .137 .013 .000 .001 .018 .085 .423 .803 .424 .079 .017 .002 .004 .047 .118 .353 .663 .321 .065 .031 .016 .020 .072 .152 .304 .573 .385 .133 .061 .015 .028 .084 .131 .206 .436 .400 .192 .084 .017 r_peak,r_snr = .1955934 13.88897 Correlation Surface of oversamples image at 1746 3046 .016 .030 .087 .225 .372 .389 .287 .189 .132 .023 .052 .138 .316 .493 .499 .350 .209 .127 .039 .097 .235 .486 .712 .697 .480 .270 .144 .059 .148 .342 .667 .930 .881 .587 .313 .151 .076 .173 .381 .728 1.000 .921 .584 .283 .123 .088 .164 .339 .645 .897 .823 .496 .209 .075 .100 .151 .284 .527 .739 .682 .399 .144 .038 .127 .165 .276 .475 .638 .587 .344 .118 .025 .172 .214 .325 .503 .624 .562 .345 .135 .036 1746 .156 3046 -1.094 13.88897 .012005 .041269 .001143 Correlation Surface at 1846 3046 .026 .002 .035 .195 .220 .101 .037 .023 .005 .041 .011 .019 .262 .285 .122 .020 .013 .010 .014 .017 .017 .447 .568 .229 .039 .001 .000 .001 .015 .018 .495 .877 .439 .104 .001 .016 .001 .015 .017 .447 1.000 .646 .124 .000 .047 .023 .028 .002 .319 .826 .619 .162 .007 .018 .063 .036 .000 .221 .500 .376 .180 .053 .000 .021 .009 .006 .198 .346 .222 .120 .051 .000 .001 .000 .008 .148 .306 .228 .129 .053 .000 r_peak,r_snr = .190283 16.82287 Correlation Surface of oversamples image at 1846 3046 .043 .184 .402 .507 .404 .238 .115 .049 .017 .042 .212 .504 .681 .576 .348 .167 .071 .025 .035 .218 .567 .826 .762 .496 .247 .106 .040 .030 .211 .584 .907 .918 .665 .362 .161 .060 .024 .189 .550 .905 1.000 .815 .502 .236 .084 .016 .157 .480 .831 .987 .885 .608 .310 .111 .009 .129 .413 .729 .891 .838 .616 .340 .132 .005 .113 .366 .626 .742 .691 .523 .313 .140 .003 .104 .336 .540 .597 .531 .404 .263 .141 1846 -.063 3046 -1.344 16.82287 .014610 .118379 -.018336 Correlation Surface at 1946 3046 .138 .212 .002 .145 .672 .364 .083 .009 .080 .365 .325 .005 .350 .995 .285 .039 .027 .077 .660 .317 .024 .375 .967 .236 .003 .027 .037 .330 .227 .039 .307 .969 .283 .000 .063 .033 .003 .045 .054 .364 1.000 .340 .002 .067 .041 .043 .006 .112 .435 .478 .199 .003 .016 .022 .066 .016 .155 .466 .244 .081 .000 .012 .048 .128 .014 .055 .166 .145 .038 .010 .048 .068 .069 .022 .012 .034 .032 .004 .043 .083 .033 r_peak,r_snr = 9.58564E-02 9.61934 Correlation Surface of oversamples image at 1946 3046 .025 .013 .199 .581 .831 .719 .473 .291 .148 .022 .032 .294 .747 .986 .776 .439 .223 .092 .017 .059 .384 .843 1.000 .711 .355 .154 .051 .007 .086 .412 .796 .863 .562 .260 .107 .033 .001 .104 .382 .672 .704 .448 .203 .084 .026 .002 .112 .349 .599 .653 .441 .203 .077 .021 .011 .122 .349 .627 .740 .543 .250 .078 .014 1946 -.125 3046 -.906 9.61934 .022752 .119544 .009474 Correlation Surface at 2046 3046 .004 .000 .006 .180 .516 .399 .331 .320 .168 .002 .000 .000 .035 .335 .437 .359 .323 .392 .003 .024 .063 .152 .335 .388 .296 .160 .199 .022 .042 .204 .674 .774 .472 .296 .118 .084 .070 .025 .099 .653 1.000 .454 .245 .135 .085 .086 .016 .049 .350 .775 .412 .207 .139 .068 .034 .012 .066 .299 .645 .443 .240 .146 .070 .007 .011 .062 .354 .628 .418 .264 .131 .061 .012 .013 .081 .433 .581 .363 .290 .185 .060 r_peak,r_snr = .1670119 11.95337 Correlation Surface of oversamples image at 2046 3046 .046 .038 .042 .073 .130 .200 .262 .285 .257 .116 .134 .161 .208 .252 .274 .284 .290 .283 .153 .244 .359 .474 .529 .486 .399 .344 .330 .105 .251 .478 .718 .849 .769 .564 .410 .358 .032 .145 .407 .752 1.000 .962 .685 .439 .339 .002 .046 .239 .595 .931 .978 .717 .430 .294 .000 .008 .111 .398 .748 .869 .674 .402 .259 .001 .001 .052 .259 .576 .735 .602 .374 .242 .000 .002 .037 .201 .487 .657 .564 .374 .258 2046 -.250 3046 -.281 11.95337 .016927 .065212 -.008018 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .055 .229 .588 .856 .947 .730 .440 .222 .154 .047 .173 .526 .821 .999 .846 .513 .242 .152 .081 .195 .515 .718 .862 .837 .591 .294 .151 .107 .275 .616 .831 .837 .753 .554 .300 .146 .097 .295 .645 .974 1.000 .792 .535 .304 .162 .098 .277 .535 .802 .948 .811 .602 .391 .222 .115 .300 .501 .671 .768 .690 .574 .427 .248 .117 .294 .518 .740 .810 .694 .548 .357 .182 .094 .213 .423 .751 .898 .801 .598 .298 .113 r_peak,r_snr = .361344 5.03086 Correlation Surface of oversamples image at 146 3446 .495 .669 .826 .942 .961 .860 .685 .493 .325 .474 .660 .829 .962 1.000 .914 .744 .544 .356 .442 .631 .794 .929 .994 .946 .801 .604 .401 .419 .607 .753 .867 .940 .929 .819 .640 .437 .421 .608 .735 .813 .867 .876 .797 .640 .449 .448 .643 .760 .804 .825 .826 .757 .611 .432 146 -.156 3446 -.781 5.03086 .032948 .039246 -.006646 Correlation Surface at 246 3446 .000 .018 .091 .362 .391 .174 .191 .094 .002 .000 .009 .123 .344 .249 .027 .150 .263 .053 .004 .000 .058 .163 .272 .149 .305 .609 .220 .036 .003 .052 .347 .675 .531 .412 .437 .293 .221 .055 .057 .607 1.000 .411 .177 .095 .155 .257 .183 .079 .369 .646 .162 .025 .022 .109 .034 .072 .144 .233 .289 .109 .021 .015 .137 .003 .018 .166 .262 .281 .167 .134 .032 .104 .130 .082 .222 .362 .444 .314 .199 .043 .128 r_peak,r_snr = .1161618 8.74664 Correlation Surface of oversamples image at 246 3446 .202 .253 .326 .574 .927 .959 .569 .218 .079 .147 .275 .436 .711 1.000 .934 .418 .040 .010 .096 .221 .385 .574 .710 .630 .236 .000 .129 .039 .119 .241 .346 .387 .353 .152 .000 .122 .001 .027 .112 .200 .235 .245 .169 .025 .013 .022 .000 .045 .158 .234 .270 .244 .124 .028 246 -.750 3446 -4.781 8.74664 .030377 .065288 .014702 Correlation Surface at 346 3446 .276 .335 .485 .759 .898 .669 .575 .554 .481 .323 .364 .434 .678 .837 .649 .486 .469 .400 .296 .355 .412 .687 .825 .603 .449 .409 .357 .230 .316 .452 .779 .956 .730 .574 .474 .371 .207 .264 .436 .773 1.000 .940 .813 .597 .423 .199 .247 .400 .713 .893 .934 .878 .625 .453 .153 .254 .403 .639 .775 .815 .759 .575 .405 .116 .267 .423 .580 .752 .733 .652 .531 .359 .137 .277 .421 .551 .788 .742 .560 .468 .269 r_peak,r_snr = .2781542 3.90293 Correlation Surface of oversamples image at 346 3446 .327 .452 .621 .748 .738 .594 .421 .303 .250 .322 .465 .659 .801 .788 .621 .429 .309 .255 .355 .520 .736 .896 .891 .711 .496 .364 .310 .410 .589 .802 .965 .985 .836 .624 .478 .412 .454 .636 .816 .953 1.000 .921 .764 .625 .536 .458 .637 .781 .877 .924 .905 .833 .741 .641 .430 .597 .726 .793 .815 .815 .807 .773 .685 .386 .537 .666 .728 .727 .712 .720 .717 .651 .348 .476 .604 .679 .671 .636 .627 .622 .573 346 -.156 3446 .219 3.90292 .067179 .209688 -.071957 Correlation Surface at 446 3446 .001 .124 .399 .629 .597 .235 .014 .006 .024 .003 .146 .439 .755 .753 .270 .015 .005 .020 .005 .134 .402 .791 .892 .321 .016 .007 .015 .004 .093 .313 .726 .976 .365 .016 .016 .025 .006 .060 .223 .645 1.000 .396 .014 .023 .046 .008 .040 .155 .544 .937 .407 .018 .018 .052 .007 .032 .119 .440 .804 .380 .018 .016 .050 .008 .025 .089 .340 .648 .335 .010 .022 .049 .016 .014 .051 .273 .558 .300 .006 .019 .035 r_peak,r_snr = .3807994 11.66709 Correlation Surface of oversamples image at 446 3446 .209 .350 .562 .802 .936 .838 .520 .191 .030 .216 .356 .572 .820 .955 .851 .528 .196 .032 .219 .359 .580 .837 .977 .871 .542 .202 .032 .215 .357 .584 .847 .997 .902 .571 .214 .034 .200 .340 .567 .833 1.000 .930 .609 .239 .041 .177 .307 .522 .784 .969 .932 .637 .269 .055 .156 .270 .462 .711 .905 .896 .638 .290 .070 .141 .237 .397 .616 .804 .819 .600 .286 .076 .127 .206 .333 .517 .691 .724 .537 .255 .066 446 .125 3446 .406 11.66709 .003384 .204302 -.014202 Correlation Surface at 546 3446 .151 .085 .177 .119 .176 .043 .001 .080 .231 .231 .164 .102 .075 .110 .100 .017 .032 .169 .189 .148 .077 .222 .117 .078 .040 .008 .010 .136 .097 .026 .524 .478 .074 .074 .051 .001 .078 .119 .040 .592 1.000 .074 .024 .006 .008 .032 .045 .033 .275 .610 .019 .012 .036 .028 .019 .000 .003 .000 .056 .000 .009 .012 .001 .030 .007 .021 .031 .005 .025 .012 .000 .004 .097 .036 .001 .000 .034 .104 .044 .013 .001 r_peak,r_snr = 8.27940E-02 8.04363 Correlation Surface of oversamples image at 546 3446 .026 .000 .066 .147 .116 .073 .047 .024 .006 .059 .001 .115 .302 .239 .104 .044 .028 .016 .065 .000 .177 .522 .466 .194 .062 .042 .042 .026 .002 .263 .773 .770 .344 .100 .060 .072 .002 .017 .331 .935 1.000 .476 .125 .049 .052 .000 .020 .297 .834 .927 .452 .099 .014 .005 .009 .001 .148 .487 .547 .253 .040 .000 .010 .073 .033 .011 .140 .172 .063 .003 .009 .034 .203 .194 .044 .003 .021 .005 .001 .011 .026 546 3.781 3446 3.125 8.04363 .021996 .064248 -.001651 Correlation Surface at 646 3446 .056 .010 .005 .034 .112 .186 .418 .305 .119 .002 .140 .251 .137 .248 .190 .401 .339 .186 .001 .383 .302 .203 .249 .112 .117 .238 .227 .053 .150 .189 .500 .662 .177 .128 .325 .103 .124 .024 .174 .583 1.000 .455 .184 .568 .133 .053 .013 .099 .202 .333 .363 .128 .247 .271 r_peak,r_snr = 7.64595E-02 6.47938 Correlation Surface of oversamples image at 646 3446 .265 .199 .164 .133 .123 .120 .104 .075 .057 .225 .182 .191 .201 .183 .142 .101 .074 .067 .174 .207 .307 .414 .414 .300 .174 .105 .102 .141 .252 .479 .725 .787 .610 .353 .181 .152 .141 .292 .577 .881 1.000 .856 .551 .282 .198 .148 .290 .518 .741 .827 .752 .541 .300 .195 .110 .196 .320 .431 .441 .371 .263 .151 .105 .044 .066 .112 .171 .162 .089 .030 .008 .012 .005 .002 .011 .056 .079 .021 .005 .035 .011 646 -2.531 3446 13.031 6.47938 .073501 .063627 -.022959 Correlation Surface at 746 3446 .166 .208 .278 .558 .730 .627 .345 .320 .225 .054 .143 .210 .416 .692 .631 .327 .226 .195 .038 .135 .177 .336 .713 .657 .412 .217 .166 .055 .155 .197 .405 .907 .775 .502 .322 .222 .086 .211 .280 .548 1.000 .821 .461 .380 .265 .135 .252 .377 .701 .909 .791 .434 .346 .209 .217 .317 .439 .684 .725 .670 .456 .340 .200 .301 .361 .462 .574 .550 .504 .469 .394 .274 .247 .288 .360 .439 .422 .382 .446 .423 .367 r_peak,r_snr = .2112512 4.35764 Correlation Surface of oversamples image at 746 3446 .205 .327 .502 .631 .649 .569 .431 .272 .150 .210 .333 .532 .701 .750 .684 .542 .353 .189 .226 .358 .582 .793 .869 .803 .645 .433 .243 .252 .393 .635 .875 .965 .868 .671 .456 .283 .296 .446 .679 .916 1.000 .855 .615 .416 .293 .365 .522 .718 .911 .968 .791 .530 .357 .282 .452 .623 .767 .887 .906 .726 .474 .320 .271 .532 .717 .812 .856 .840 .683 .459 .314 .266 .586 .761 .814 .801 .765 .653 .475 .336 .274 746 .438 3446 1.469 4.35764 .025373 .246365 .041017 Correlation Surface at 846 3446 .043 .061 .158 .519 .810 .548 .191 .062 .025 .024 .074 .180 .429 .685 .534 .228 .069 .008 .028 .098 .207 .430 .658 .492 .245 .093 .009 .056 .131 .254 .563 .836 .539 .244 .111 .023 .070 .176 .323 .691 1.000 .661 .294 .124 .036 .076 .230 .365 .683 .976 .708 .339 .137 .033 .068 .214 .318 .584 .891 .702 .386 .182 .057 .062 .164 .240 .489 .866 .745 .469 .207 .071 .054 .127 .209 .474 .871 .789 .521 .192 .038 r_peak,r_snr = .3318272 7.24914 Correlation Surface of oversamples image at 846 3446 .210 .301 .455 .607 .643 .537 .384 .261 .182 .224 .331 .524 .720 .772 .648 .462 .309 .210 .245 .366 .588 .824 .904 .781 .572 .386 .259 .274 .399 .628 .882 .989 .890 .677 .465 .310 .303 .421 .635 .878 1.000 .931 .734 .516 .346 .319 .420 .607 .824 .945 .901 .731 .525 .358 .314 .396 .559 .753 .872 .847 .705 .521 .363 .288 .357 .507 .695 .823 .819 .700 .537 .387 .250 .308 .456 .657 .809 .829 .731 .584 .435 846 .031 3446 1.313 7.24913 .006713 .061640 -.001655 Correlation Surface at 946 3446 .002 .001 .065 .311 .640 .376 .046 .001 .018 .008 .000 .082 .428 .869 .488 .073 .001 .005 .018 .002 .058 .419 .923 .542 .092 .003 .002 .019 .005 .043 .456 .987 .543 .095 .002 .004 .020 .005 .045 .535 1.000 .429 .066 .001 .005 .017 .006 .038 .445 .768 .255 .023 .000 .006 .009 .004 .031 .303 .530 .190 .006 .007 .008 .008 .003 .034 .244 .376 .164 .006 .006 .004 .014 .004 .048 .280 .329 .144 .017 .000 .000 r_peak,r_snr = .3559365 16.2085 Correlation Surface of oversamples image at 946 3446 .053 .174 .406 .711 .918 .844 .544 .248 .082 .044 .161 .395 .707 .917 .845 .548 .252 .085 .038 .152 .395 .720 .927 .842 .540 .247 .083 .036 .157 .421 .767 .966 .849 .530 .238 .080 .035 .169 .458 .821 1.000 .840 .502 .220 .074 .035 .176 .472 .826 .972 .780 .443 .187 .062 .033 .171 .447 .760 .869 .670 .361 .144 .044 .031 .155 .391 .643 .723 .547 .283 .104 .027 .029 .135 .323 .514 .574 .438 .225 .075 .014 946 .000 3446 -.375 16.20850 .002860 .032861 .003463 Correlation Surface at 1046 3446 .004 .042 .163 .450 .833 .587 .125 .004 .000 .000 .035 .196 .494 .791 .506 .120 .001 .004 .000 .023 .190 .545 .838 .490 .141 .013 .000 .000 .021 .187 .606 .944 .577 .178 .036 .002 .000 .014 .174 .629 1.000 .639 .180 .037 .001 .000 .013 .157 .615 .988 .613 .163 .026 .005 .002 .040 .174 .601 .965 .616 .171 .019 .002 .005 .053 .186 .504 .857 .656 .217 .019 .002 .006 .029 .157 .377 .660 .581 .242 .023 .003 r_peak,r_snr = .3461095 9.99445 Correlation Surface of oversamples image at 1046 3446 .112 .304 .587 .844 .892 .688 .400 .185 .070 .103 .299 .598 .876 .935 .728 .427 .202 .083 .093 .286 .592 .890 .968 .764 .451 .212 .086 .083 .273 .578 .891 .991 .795 .471 .216 .082 .079 .266 .562 .879 1.000 .821 .491 .221 .077 .083 .267 .551 .856 .990 .836 .513 .232 .076 .096 .276 .548 .832 .968 .845 .543 .254 .083 .114 .286 .541 .802 .934 .842 .573 .285 .096 .126 .281 .512 .747 .874 .815 .588 .311 .110 1046 -.063 3446 3.375 9.99445 .004934 .387531 -.004437 Correlation Surface at 1146 3446 .005 .002 .016 .069 .105 .031 .007 .011 .000 .000 .001 .045 .213 .190 .104 .024 .000 .019 .000 .000 .147 .533 .641 .353 .128 .001 .025 .004 .011 .165 .589 .933 .662 .371 .073 .005 .021 .053 .181 .675 1.000 .796 .463 .263 .009 .002 .037 .136 .681 .887 .702 .396 .219 .049 .003 .009 .052 .273 .499 .445 .266 .076 .020 .008 .004 .066 .082 .242 .268 .190 .059 .013 .114 .022 .034 .093 .199 .251 .211 .096 .065 r_peak,r_snr = .1254013 12.47001 Correlation Surface of oversamples image at 1146 3446 .081 .135 .257 .396 .476 .435 .323 .261 .265 .100 .179 .354 .525 .591 .547 .449 .393 .402 .126 .261 .527 .760 .798 .709 .590 .506 .470 .137 .310 .643 .954 .988 .824 .644 .517 .428 .127 .273 .575 .915 1.000 .800 .558 .401 .299 .128 .207 .400 .692 .839 .681 .419 .253 .169 .155 .177 .262 .459 .620 .540 .317 .165 .102 .189 .195 .213 .316 .436 .415 .269 .151 .104 .205 .250 .250 .287 .348 .351 .276 .203 .174 1146 -.188 3446 7.250 12.47001 .085383 .739390 .028398 Correlation Surface at 1246 3446 .025 .011 .019 .135 .225 .100 .002 .045 .129 .043 .006 .043 .246 .382 .166 .009 .046 .158 .055 .003 .079 .361 .666 .268 .006 .092 .261 .041 .000 .058 .404 .988 .422 .003 .120 .270 .042 .001 .014 .307 1.000 .366 .000 .088 .163 .061 .025 .001 .185 .853 .299 .000 .035 .090 .085 .084 .019 .108 .623 .338 .000 .026 .097 .103 .128 .035 .068 .365 .297 .008 .010 .092 .095 .118 .013 .084 .305 .216 .023 .000 .041 r_peak,r_snr = .1749242 16.68452 Correlation Surface of oversamples image at 1246 3446 .103 .261 .380 .428 .403 .313 .196 .094 .018 .100 .296 .476 .586 .589 .470 .289 .132 .028 .084 .298 .554 .756 .815 .677 .422 .193 .046 .059 .260 .573 .867 .976 .819 .512 .240 .064 .035 .195 .515 .867 1.000 .809 .481 .223 .064 .016 .125 .402 .759 .901 .681 .350 .142 .041 .006 .073 .281 .597 .745 .531 .218 .059 .012 .001 .044 .195 .452 .599 .425 .141 .018 .000 .000 .034 .156 .363 .495 .366 .118 .008 .001 1246 -.031 3446 .313 16.68452 .007053 .438324 -.014567 Correlation Surface at 1346 3446 .004 .094 .320 .680 .687 .348 .078 .075 .059 .001 .149 .472 .824 .810 .490 .113 .074 .105 .000 .145 .454 .850 .878 .503 .113 .062 .086 .000 .078 .299 .719 .904 .455 .091 .039 .042 .000 .024 .161 .574 1.000 .467 .063 .018 .022 .000 .007 .089 .432 .898 .392 .045 .012 .021 .004 .006 .086 .362 .671 .355 .119 .043 .022 .012 .011 .113 .365 .513 .353 .259 .131 .029 .004 .023 .133 .307 .324 .227 .244 .162 .040 r_peak,r_snr = .2181126 10.54202 Correlation Surface of oversamples image at 1346 3446 .070 .171 .359 .611 .761 .714 .562 .378 .196 .117 .256 .468 .716 .840 .768 .606 .432 .252 .168 .345 .581 .831 .942 .851 .680 .512 .331 .189 .382 .622 .874 1.000 .924 .757 .592 .401 .163 .340 .563 .804 .960 .938 .799 .637 .433 .109 .245 .431 .650 .834 .886 .801 .643 .429 .062 .152 .294 .486 .687 .808 .788 .639 .415 .031 .088 .195 .365 .576 .754 .791 .649 .409 1346 -.969 3446 -3.688 10.54202 .009100 .176502 -.013079 Correlation Surface at 1446 3446 .011 .002 .041 .286 .425 .275 .076 .009 .004 .041 .009 .026 .281 .457 .277 .099 .019 .001 .105 .018 .038 .402 .610 .342 .105 .027 .001 .101 .029 .022 .482 .881 .461 .103 .013 .001 .069 .027 .005 .372 1.000 .519 .112 .007 .015 .119 .028 .015 .311 .840 .484 .123 .021 .008 .195 .024 .064 .317 .570 .375 .115 .042 .003 .129 .007 .087 .270 .370 .279 .115 .056 .000 .057 .003 .065 .275 .393 .292 .138 .082 .014 r_peak,r_snr = .2421462 13.35221 Correlation Surface of oversamples image at 1446 3446 .073 .209 .377 .528 .585 .487 .304 .149 .066 .077 .229 .437 .639 .725 .610 .383 .187 .078 .071 .227 .473 .743 .870 .733 .455 .219 .086 .055 .201 .472 .805 .976 .821 .500 .233 .086 .042 .170 .439 .800 1.000 .848 .511 .232 .083 .042 .158 .400 .734 .934 .805 .491 .226 .085 .059 .172 .375 .642 .804 .700 .440 .215 .092 .094 .208 .363 .548 .650 .564 .367 .195 .097 .141 .251 .354 .460 .510 .442 .300 .174 .099 1446 .031 3446 -.125 13.35221 .005258 .069547 -.004684 Correlation Surface at 1546 3446 .007 .005 .016 .074 .390 .378 .203 .076 .057 .000 .012 .048 .127 .441 .446 .159 .017 .007 .000 .019 .060 .186 .574 .441 .092 .001 .001 .005 .000 .018 .176 .830 .606 .059 .002 .011 .007 .002 .008 .249 1.000 .655 .047 .008 .008 .001 .010 .052 .266 .703 .423 .032 .001 .000 .012 .062 .123 .191 .373 .251 .062 .023 .007 .025 .091 .187 .191 .266 .181 .079 .057 .066 .005 .040 .207 .315 .374 .216 .039 .014 .116 r_peak,r_snr = .1669809 15.30475 Correlation Surface of oversamples image at 1546 3446 .005 .024 .099 .303 .546 .543 .322 .128 .035 .001 .021 .111 .351 .668 .702 .416 .148 .029 .000 .034 .174 .470 .835 .882 .532 .180 .027 .001 .071 .293 .643 .982 .978 .577 .184 .020 .008 .115 .397 .756 1.000 .919 .518 .153 .011 .021 .132 .398 .706 .863 .749 .414 .120 .009 .035 .117 .309 .533 .647 .556 .318 .107 .017 .055 .108 .225 .363 .440 .381 .235 .105 .036 .094 .138 .204 .274 .302 .253 .164 .093 .047 1546 .219 3446 .188 15.30475 .010510 .060477 .006360 Correlation Surface at 1646 3446 .085 .135 .239 .399 .435 .258 .175 .100 .005 .107 .136 .181 .413 .549 .280 .154 .095 .015 .121 .164 .172 .418 .731 .318 .102 .063 .014 .084 .199 .304 .547 .925 .355 .044 .025 .009 .044 .152 .375 .705 1.000 .486 .044 .003 .001 .031 .097 .269 .677 .958 .663 .151 .004 .001 .037 .085 .197 .494 .832 .649 .252 .015 .002 .038 .074 .189 .404 .714 .599 .262 .032 .000 .031 .074 .187 .435 .692 .625 .310 .110 .020 r_peak,r_snr = .2445347 9.14092 Correlation Surface of oversamples image at 1646 3446 .276 .299 .435 .662 .754 .548 .249 .084 .037 .310 .362 .502 .721 .832 .651 .326 .114 .038 .288 .398 .574 .790 .909 .776 .464 .203 .072 .231 .386 .618 .854 .978 .893 .627 .342 .146 .174 .328 .591 .861 1.000 .954 .747 .476 .234 .140 .257 .496 .780 .947 .938 .788 .553 .296 .129 .208 .390 .651 .847 .881 .778 .582 .331 .128 .190 .324 .542 .745 .818 .758 .598 .361 .130 .200 .319 .499 .681 .775 .751 .629 .413 1646 .125 3446 .875 9.14092 .011224 .385743 -.031407 Correlation Surface at 1746 3446 .078 .034 .076 .357 .669 .505 .243 .044 .007 .097 .027 .062 .263 .591 .667 .434 .046 .020 .129 .060 .098 .356 .651 .684 .336 .006 .062 .114 .178 .137 .424 .870 .564 .101 .027 .101 .057 .237 .194 .395 1.000 .492 .014 .105 .218 .009 .179 .267 .438 .943 .599 .008 .223 .350 .001 .068 .216 .382 .616 .540 .055 .167 .241 .000 .045 .168 .248 .299 .273 .131 .023 .117 .004 .053 .136 .236 .301 .201 .127 .002 .126 r_peak,r_snr = .1384577 10.13326 Correlation Surface of oversamples image at 1746 3446 .132 .215 .373 .525 .587 .517 .384 .231 .085 .180 .241 .425 .630 .703 .553 .313 .125 .018 .208 .247 .458 .741 .843 .611 .257 .048 .001 .208 .227 .450 .809 .970 .703 .255 .021 .018 .191 .192 .391 .773 1.000 .787 .314 .029 .021 .161 .150 .300 .629 .882 .780 .386 .066 .007 .133 .114 .212 .447 .656 .646 .402 .123 .001 .125 .098 .154 .293 .415 .428 .327 .162 .020 .142 .106 .127 .193 .233 .227 .202 .152 .054 1746 .000 3446 .375 10.13326 .015072 .541016 -.002915 Correlation Surface at 1846 3446 .009 .001 .075 .359 .698 .328 .020 .000 .008 .008 .006 .066 .308 .640 .346 .025 .001 .000 .022 .000 .048 .309 .599 .338 .025 .004 .025 .023 .000 .064 .488 .903 .479 .035 .002 .022 .019 .000 .089 .477 1.000 .648 .045 .007 .009 .011 .002 .074 .325 .652 .568 .065 .016 .034 .005 .000 .061 .312 .527 .411 .063 .005 .071 .003 .000 .067 .367 .585 .324 .034 .000 .061 .006 .001 .094 .389 .487 .225 .022 .000 .043 r_peak,r_snr = .2125259 14.44809 Correlation Surface of oversamples image at 1846 3446 .035 .129 .343 .625 .740 .589 .332 .124 .026 .036 .129 .338 .629 .778 .646 .371 .135 .024 .039 .135 .354 .673 .871 .770 .470 .183 .035 .046 .147 .379 .725 .971 .908 .592 .249 .054 .053 .155 .382 .727 1.000 .981 .671 .293 .064 .060 .156 .350 .648 .912 .939 .669 .292 .056 .061 .147 .293 .515 .741 .807 .608 .269 .044 .051 .128 .236 .392 .566 .650 .528 .250 .042 .036 .110 .208 .329 .457 .526 .453 .240 .053 1846 .219 3446 2.406 14.44809 .010763 .037589 -.004887 Correlation Surface at 1946 3446 .016 .007 .027 .163 .265 .158 .054 .028 .000 .006 .003 .032 .214 .488 .299 .099 .033 .002 .005 .013 .005 .274 .694 .414 .088 .002 .001 .002 .024 .003 .361 .842 .391 .050 .001 .013 .002 .012 .025 .516 1.000 .406 .049 .000 .020 .005 .001 .079 .612 .996 .290 .027 .000 .025 .001 .011 .086 .378 .754 .201 .008 .006 .034 .000 .008 .050 .136 .337 .214 .048 .002 .043 .025 .041 .079 .134 .198 .187 .098 .001 .029 r_peak,r_snr = .1658294 19.54968 Correlation Surface of oversamples image at 1946 3446 .007 .093 .316 .625 .801 .674 .393 .167 .050 .009 .112 .370 .707 .877 .712 .388 .149 .039 .020 .147 .431 .787 .948 .743 .386 .141 .036 .051 .205 .503 .856 .988 .732 .352 .121 .032 .108 .286 .595 .929 1.000 .670 .276 .079 .019 .165 .344 .650 .960 .969 .574 .179 .028 .002 .184 .331 .602 .891 .887 .491 .117 .005 .003 .149 .244 .440 .692 .732 .428 .105 .002 .007 .092 .146 .254 .428 .507 .352 .121 .011 .002 1946 -.188 3446 .719 19.54968 .018458 .547704 .063204 Correlation Surface at 2046 3446 .004 .002 .003 .000 .007 .014 .001 .034 .043 .000 .001 .000 .012 .016 .000 .009 .006 .005 .016 .017 .014 .092 .073 .002 .029 .005 .001 .032 .095 .014 .359 .461 .029 .019 .022 .017 .021 .078 .002 .445 1.000 .228 .002 .038 .034 .019 .008 .000 .135 .658 .254 .001 .048 .015 .104 .011 .001 .006 .164 .073 .004 .036 .016 .207 .101 .002 .005 .080 .021 .001 .009 .041 .055 .071 .006 .014 .136 .058 .001 .000 .023 r_peak,r_snr = .1517481 32.99945 Correlation Surface of oversamples image at 2046 3446 .003 .021 .063 .099 .085 .036 .003 .008 .032 .011 .071 .194 .285 .232 .096 .010 .009 .046 .011 .107 .340 .560 .504 .237 .043 .001 .038 .006 .104 .398 .779 .827 .465 .124 .004 .017 .001 .067 .323 .777 1.000 .678 .235 .026 .004 .000 .025 .184 .569 .894 .726 .307 .050 .000 .002 .003 .070 .313 .601 .568 .276 .050 .000 .005 .000 .020 .143 .324 .335 .176 .030 .002 .006 .001 .008 .071 .161 .161 .082 .012 .003 2046 -.031 3446 .063 32.99945 .009510 .022184 -.005178 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .045 .166 .305 .614 .878 .680 .359 .202 .116 .044 .143 .285 .527 .758 .703 .332 .173 .155 .069 .186 .296 .529 .731 .670 .289 .140 .123 .089 .172 .272 .612 .878 .718 .326 .147 .084 .101 .139 .219 .616 1.000 .764 .388 .188 .090 .098 .172 .261 .606 .943 .715 .438 .252 .114 .102 .223 .363 .640 .833 .692 .564 .351 .132 .098 .219 .364 .651 .816 .676 .653 .406 .141 .046 .171 .294 .631 .866 .644 .574 .354 .109 r_peak,r_snr = .2663659 5.49753 Correlation Surface of oversamples image at 146 3846 1.370 1.792 2.549 3.493 4.000 3.704 2.908 2.076 1.489 1.265 1.639 2.314 3.185 3.781 3.706 3.068 2.225 1.532 1.189 1.501 2.094 2.851 3.435 3.534 3.080 2.297 1.552 1.140 1.393 1.922 2.599 3.117 3.265 2.950 2.253 1.499 1.111 1.361 1.882 2.536 2.984 3.062 2.784 2.158 1.416 146 .094 3846 -3.813 5.49753 .011896 .124881 -.000257 Correlation Surface at 246 3846 .079 .104 .259 .604 .733 .516 .267 .101 .045 .137 .172 .275 .596 .728 .456 .245 .141 .088 .130 .238 .409 .717 .784 .463 .274 .152 .090 .088 .222 .517 .906 .920 .484 .234 .110 .076 .070 .175 .462 .877 1.000 .535 .163 .063 .056 .075 .180 .403 .715 .890 .530 .155 .055 .035 .103 .221 .429 .589 .642 .333 .116 .066 .049 .135 .238 .429 .506 .429 .186 .062 .054 .088 .150 .236 .350 .462 .385 .177 .061 .052 .106 r_peak,r_snr = .3106781 5.2902 Correlation Surface of oversamples image at 246 3846 .371 .453 .579 .707 .765 .707 .566 .414 .292 .433 .527 .648 .767 .819 .747 .586 .426 .309 .473 .602 .732 .846 .902 .832 .654 .470 .337 .473 .635 .782 .901 .973 .928 .740 .515 .345 .441 .615 .774 .903 1.000 .987 .801 .536 .324 .396 .562 .724 .866 .982 .995 .819 .532 .291 .360 .506 .661 .811 .936 .955 .786 .500 .257 .341 .468 .608 .755 .875 .878 .702 .435 .216 .344 .457 .577 .702 .794 .765 .581 .342 .164 246 -.219 3846 6.781 5.29020 .010003 .080360 -.010348 Correlation Surface at 346 3846 .004 .019 .280 .591 .691 .528 .227 .089 .001 .003 .012 .170 .449 .723 .568 .273 .109 .025 .007 .004 .107 .297 .696 .621 .406 .240 .068 .016 .002 .164 .459 .818 .668 .404 .293 .061 .020 .003 .225 .672 1.000 .784 .354 .190 .058 .032 .005 .180 .568 .894 .758 .410 .213 .101 .052 .000 .130 .433 .714 .570 .405 .314 .137 .021 .001 .112 .476 .745 .511 .356 .329 .141 .001 .008 .143 .538 .813 .493 .221 .201 .141 r_peak,r_snr = .178203 7.55743 Correlation Surface of oversamples image at 346 3846 .276 .366 .514 .677 .753 .706 .606 .530 .464 .349 .479 .632 .777 .828 .744 .602 .502 .441 .426 .611 .778 .897 .910 .784 .596 .452 .368 .455 .687 .878 .986 .979 .832 .612 .427 .310 .423 .665 .877 .998 1.000 .864 .641 .438 .296 .359 .574 .785 .922 .945 .836 .642 .456 .315 .305 .483 .678 .813 .842 .757 .606 .465 .348 .279 .436 .617 .740 .757 .676 .558 .464 .378 .265 .421 .602 .721 .720 .622 .511 .445 .388 346 .250 3846 -.656 7.55743 .037610 .130823 .003674 Correlation Surface at 446 3846 .016 .000 .066 .339 .706 .488 .144 .019 .001 .005 .006 .066 .297 .627 .463 .127 .006 .001 .004 .012 .078 .345 .676 .439 .139 .004 .004 .010 .001 .070 .431 .860 .496 .136 .008 .003 .017 .005 .025 .413 1.000 .611 .145 .011 .000 .015 .005 .013 .321 .887 .567 .128 .012 .000 .011 .000 .037 .258 .579 .350 .057 .002 .000 .008 .004 .062 .270 .445 .245 .029 .003 .004 .008 .004 .060 .277 .445 .239 .034 .003 .010 r_peak,r_snr = .291388 15.67672 Correlation Surface of oversamples image at 446 3846 .014 .082 .249 .485 .626 .572 .394 .210 .080 .009 .085 .286 .575 .747 .668 .438 .220 .079 .006 .087 .315 .656 .877 .793 .511 .243 .081 .005 .088 .328 .702 .978 .919 .601 .281 .089 .006 .086 .318 .692 1.000 .983 .663 .313 .100 .010 .083 .283 .614 .909 .924 .639 .301 .096 .016 .081 .241 .500 .738 .757 .522 .235 .068 .026 .088 .213 .402 .565 .565 .378 .158 .035 .039 .104 .215 .356 .459 .431 .275 .104 .015 446 .219 3846 1.438 15.67672 .004498 .052752 -.003757 Correlation Surface at 546 3846 .190 .086 .215 .713 .657 .418 .235 .184 .181 .186 .091 .273 .888 .790 .433 .340 .296 .185 .156 .109 .283 .794 .896 .523 .303 .274 .154 .091 .141 .346 .737 .974 .567 .209 .147 .097 .060 .163 .417 .675 1.000 .610 .159 .062 .035 .027 .124 .342 .462 .761 .681 .245 .036 .006 .025 .138 .319 .397 .533 .568 .360 .061 .001 .050 .240 .507 .544 .514 .488 .297 .083 .005 .079 .283 .623 .675 .581 .501 .178 .044 .028 r_peak,r_snr = .1903961 6.52253 Correlation Surface of oversamples image at 546 3846 .025 .273 .960 1.683 1.842 1.360 .921 .915 1.321 .088 .420 1.216 2.037 2.254 1.788 1.298 1.102 1.194 .236 .667 1.599 2.611 3.042 2.611 1.994 1.571 1.379 .541 1.080 2.077 3.177 3.851 3.548 2.848 2.283 1.924 546 -1.875 3846 -.188 6.52253 .024974 .147168 -.029901 Correlation Surface at 646 3846 .008 .035 .056 .168 .562 .809 .440 .214 .070 .034 .027 .052 .218 .618 .873 .394 .135 .056 .022 .005 .057 .304 .643 .752 .258 .018 .036 .020 .001 .047 .444 .740 .592 .299 .041 .092 .066 .004 .050 .504 1.000 .610 .343 .139 .205 .096 .078 .128 .357 .856 .627 .297 .137 .246 .058 .161 .201 .197 .471 .510 .272 .095 .121 .026 .210 .265 .196 .407 .569 .282 .063 .034 .016 .221 .394 .457 .684 .776 .393 .071 .017 r_peak,r_snr = .1632613 6.67064 Correlation Surface of oversamples image at 646 3846 .068 .169 .302 .424 .532 .654 .700 .567 .309 .068 .201 .376 .509 .572 .623 .645 .565 .366 .078 .248 .487 .672 .715 .681 .628 .549 .403 .101 .289 .583 .844 .905 .791 .640 .518 .398 .136 .305 .589 .893 1.000 .862 .647 .483 .369 .172 .284 .482 .747 .895 .810 .615 .450 .342 .191 .238 .334 .511 .663 .660 .550 .430 .333 .206 .211 .244 .349 .478 .529 .496 .430 .343 .238 .233 .242 .315 .424 .489 .482 .433 .341 646 -.063 3846 -.500 6.67064 .017583 .082088 -.005024 Correlation Surface at 746 3846 .118 .029 .058 .665 .976 .303 .035 .271 .122 .063 .019 .045 .589 .863 .298 .027 .391 .160 .112 .072 .006 .486 .833 .255 .010 .317 .175 .254 .153 .002 .534 .956 .289 .008 .244 .219 .431 .153 .003 .484 1.000 .336 .004 .211 .292 .675 .210 .003 .199 .659 .316 .001 .098 .206 .860 .356 .022 .071 .448 .281 .008 .019 .091 .667 .392 .006 .161 .621 .357 .020 .012 .072 .353 .262 .000 .305 .756 .464 .069 .006 .061 r_peak,r_snr = .1644417 7.82212 Correlation Surface of oversamples image at 746 3846 .012 .126 .397 .663 .688 .503 .268 .068 .002 .004 .099 .371 .675 .716 .491 .237 .060 .001 .002 .096 .391 .748 .817 .540 .226 .046 .001 .003 .108 .432 .834 .936 .622 .238 .034 .004 .006 .120 .448 .861 1.000 .702 .271 .033 .008 .006 .109 .400 .780 .955 .734 .312 .041 .009 .001 .069 .292 .612 .810 .691 .335 .055 .005 .001 .027 .174 .426 .629 .596 .324 .067 .001 .012 .006 .095 .287 .479 .501 .298 .074 .000 746 -.094 3846 .469 7.82212 .010946 .090247 -.011935 Correlation Surface at 846 3846 .180 .100 .225 .718 .824 .472 .191 .079 .022 .125 .081 .158 .592 .732 .457 .164 .062 .035 .145 .136 .197 .597 .756 .475 .178 .044 .020 .174 .192 .290 .756 .920 .483 .148 .027 .006 .155 .254 .386 .795 1.000 .459 .092 .017 .012 .108 .256 .463 .700 .906 .464 .098 .029 .028 .086 .159 .420 .634 .758 .467 .164 .064 .032 .114 .128 .352 .659 .699 .444 .193 .083 .028 .129 .197 .437 .791 .784 .441 .164 .060 .034 r_peak,r_snr = .2392423 7.0485 Correlation Surface of oversamples image at 846 3846 .106 .171 .345 .581 .728 .697 .569 .426 .296 .131 .186 .342 .578 .749 .742 .623 .475 .329 .168 .229 .389 .641 .837 .834 .697 .521 .349 .213 .292 .465 .731 .941 .930 .753 .537 .341 .269 .364 .539 .793 1.000 .985 .772 .521 .310 .332 .434 .584 .794 .981 .977 .760 .486 .269 .390 .490 .597 .743 .899 .922 .731 .451 .231 .416 .515 .590 .679 .798 .843 .691 .423 .206 .387 .497 .569 .630 .714 .755 .636 .396 .192 846 -.281 3846 -.281 7.04850 .010304 .173329 -.002277 Correlation Surface at 1046 3846 .031 .044 .128 .457 .644 .300 .107 .051 .022 .023 .026 .127 .444 .600 .248 .100 .049 .024 .035 .028 .130 .491 .753 .333 .090 .030 .021 .048 .052 .132 .564 .943 .484 .092 .014 .010 .031 .061 .149 .605 1.000 .519 .095 .009 .001 .019 .057 .169 .583 .997 .520 .103 .013 .001 .020 .049 .135 .506 .854 .460 .114 .013 .002 .013 .032 .084 .416 .685 .342 .105 .009 .000 .001 .018 .074 .411 .726 .339 .110 .015 .000 r_peak,r_snr = .3084666 10.15485 Correlation Surface of oversamples image at 1046 3846 .084 .222 .445 .721 .926 .888 .630 .349 .174 .083 .230 .467 .748 .956 .922 .663 .369 .174 .082 .239 .492 .780 .974 .923 .653 .359 .163 .087 .250 .518 .816 .992 .915 .633 .344 .157 .099 .262 .536 .841 1.000 .898 .614 .338 .164 .110 .272 .544 .841 .978 .858 .588 .338 .180 .113 .272 .536 .811 .911 .778 .538 .329 .191 .103 .256 .505 .745 .802 .659 .457 .297 .185 .085 .226 .455 .661 .684 .534 .362 .246 .165 1046 .063 3846 1.813 10.15485 .004654 .681862 -.004676 Correlation Surface at 1146 3846 .001 .024 .145 .382 .552 .399 .162 .035 .007 .000 .038 .190 .416 .602 .440 .176 .032 .004 .001 .053 .202 .464 .690 .535 .191 .026 .001 .000 .045 .170 .523 .846 .626 .233 .037 .002 .000 .039 .151 .541 1.000 .679 .260 .066 .013 .000 .045 .156 .523 .973 .618 .234 .077 .024 .000 .049 .173 .523 .849 .537 .211 .058 .020 .000 .041 .164 .492 .777 .531 .214 .046 .010 .000 .038 .136 .421 .751 .575 .191 .031 .006 r_peak,r_snr = .3701685 9.86966 Correlation Surface of oversamples image at 1146 3846 .164 .284 .464 .672 .820 .843 .743 .571 .379 .157 .282 .482 .717 .872 .870 .747 .580 .407 .158 .288 .505 .767 .929 .896 .735 .561 .406 .171 .309 .539 .817 .979 .914 .712 .522 .380 .189 .335 .575 .852 1.000 .911 .683 .479 .339 .204 .354 .593 .851 .975 .876 .649 .443 .298 .210 .359 .586 .817 .914 .818 .614 .420 .271 .207 .352 .564 .770 .851 .765 .589 .412 .258 .198 .333 .528 .721 .802 .732 .576 .405 .246 1146 .063 3846 -.125 9.86966 .003715 .048745 .000167 Correlation Surface at 1246 3846 .029 .081 .182 .398 .596 .541 .291 .191 .122 .042 .130 .235 .455 .637 .560 .274 .143 .083 .036 .161 .281 .549 .788 .630 .290 .138 .081 .026 .171 .314 .600 .942 .712 .296 .140 .079 .043 .213 .383 .655 1.000 .738 .300 .141 .081 .091 .275 .406 .653 .942 .661 .301 .146 .088 .118 .303 .345 .550 .770 .573 .295 .148 .078 .106 .284 .323 .548 .659 .508 .315 .174 .080 .093 .262 .355 .590 .675 .486 .329 .192 .097 r_peak,r_snr = .3504354 6.44882 Correlation Surface of oversamples image at 1246 3846 .291 .426 .607 .758 .817 .757 .607 .416 .252 .275 .406 .603 .790 .879 .818 .643 .432 .262 .264 .384 .585 .804 .924 .866 .672 .446 .268 .280 .386 .583 .821 .966 .914 .708 .466 .276 .323 .414 .599 .844 1.000 .951 .740 .489 .288 .373 .444 .609 .844 .995 .944 .739 .499 .300 .406 .457 .592 .797 .929 .878 .694 .483 .305 .410 .448 .557 .722 .825 .778 .623 .452 .307 .391 .430 .525 .656 .731 .686 .557 .420 .307 1246 .125 3846 .219 6.44882 .006966 .140730 .007875 Correlation Surface at 1346 3846 .003 .006 .148 .355 .530 .271 .014 .006 .000 .004 .021 .164 .558 .783 .335 .011 .008 .001 .028 .033 .113 .565 .903 .296 .005 .013 .005 .034 .025 .063 .454 .863 .307 .014 .007 .001 .001 .005 .063 .494 1.000 .456 .049 .002 .000 .021 .003 .089 .532 .906 .445 .062 .003 .018 .009 .005 .087 .450 .665 .357 .101 .003 .034 .009 .000 .064 .374 .534 .356 .137 .018 .023 .041 .020 .098 .350 .399 .297 .126 .011 .029 r_peak,r_snr = .2169978 14.35511 Correlation Surface of oversamples image at 1346 3846 .125 .236 .316 .393 .479 .505 .412 .250 .111 .120 .255 .395 .542 .664 .669 .517 .295 .124 .111 .259 .461 .698 .873 .845 .614 .327 .126 .102 .234 .457 .763 1.000 .956 .660 .327 .115 .100 .195 .386 .697 .972 .951 .646 .307 .102 .101 .159 .300 .568 .842 .861 .604 .295 .103 .095 .132 .240 .468 .726 .783 .589 .318 .131 .080 .116 .217 .428 .676 .759 .610 .368 .178 1346 -.313 3846 -2.313 14.35511 .007032 .128036 -.003456 Correlation Surface at 1446 3846 .208 .274 .433 .703 .896 .782 .430 .420 .485 .265 .338 .432 .649 .976 .916 .495 .341 .353 .323 .359 .396 .609 .834 .763 .438 .256 .267 .341 .350 .351 .628 .848 .662 .345 .205 .240 .331 .309 .317 .630 1.000 .731 .319 .179 .186 .277 .244 .270 .560 .998 .832 .405 .202 .125 .281 .268 .283 .527 .872 .754 .465 .222 .083 .370 .375 .342 .532 .786 .576 .364 .160 .041 .383 .400 .360 .496 .720 .540 .295 .117 .036 r_peak,r_snr = .2941103 4.21949 Correlation Surface of oversamples image at 1446 3846 .493 .612 .746 .853 .863 .774 .632 .505 .443 .512 .630 .787 .937 .972 .866 .692 .536 .447 .524 .636 .793 .954 1.000 .890 .704 .533 .426 .517 .633 .781 .922 .956 .845 .665 .496 .382 .498 .624 .772 .884 .888 .770 .597 .438 .329 .483 .621 .781 .877 .848 .707 .527 .376 .278 .487 .638 .815 .913 .862 .686 .482 .327 .235 1446 .375 3846 -.813 4.21949 .011002 .137709 -.016656 Correlation Surface at 1646 3846 .110 .174 .231 .441 .526 .289 .147 .089 .071 .038 .083 .168 .425 .524 .408 .256 .104 .052 .040 .080 .166 .465 .622 .448 .290 .135 .074 .053 .122 .252 .634 .872 .443 .195 .131 .135 .050 .095 .206 .640 1.000 .455 .142 .087 .115 .064 .050 .115 .500 .937 .480 .159 .051 .037 .065 .036 .055 .320 .818 .531 .185 .057 .018 .030 .014 .018 .178 .662 .602 .251 .093 .035 .013 .004 .022 .155 .523 .531 .288 .165 .099 r_peak,r_snr = .2184998 9.09304 Correlation Surface of oversamples image at 1646 3846 .091 .145 .259 .402 .469 .425 .343 .282 .235 .115 .188 .332 .497 .562 .486 .351 .250 .189 .162 .258 .444 .653 .733 .619 .406 .236 .144 .205 .316 .536 .797 .916 .783 .491 .245 .118 .214 .315 .531 .825 1.000 .890 .563 .264 .111 .183 .260 .440 .728 .955 .905 .598 .290 .125 .137 .193 .331 .585 .841 .863 .611 .325 .162 .095 .139 .244 .454 .706 .787 .608 .358 .202 .066 .099 .181 .352 .578 .699 .596 .388 .236 1646 -.406 3846 -.375 9.09304 .009732 .186192 -.011930 Correlation Surface at 1746 3846 .003 .013 .184 .420 .506 .267 .044 .001 .015 .003 .015 .224 .552 .572 .271 .052 .000 .019 .002 .024 .285 .753 .765 .316 .056 .001 .027 .001 .056 .305 .823 .964 .390 .056 .001 .028 .004 .081 .264 .681 1.000 .467 .062 .001 .031 .000 .039 .197 .571 .943 .593 .108 .000 .031 .006 .007 .132 .578 .934 .646 .151 .000 .027 .003 .002 .095 .521 .841 .548 .145 .000 .030 .001 .004 .113 .459 .768 .523 .155 .001 .025 r_peak,r_snr = .2943154 11.01196 Correlation Surface of oversamples image at 1746 3846 .114 .268 .429 .562 .638 .601 .445 .256 .111 .118 .295 .494 .658 .744 .689 .495 .271 .109 .128 .324 .564 .767 .862 .789 .566 .309 .121 .146 .343 .607 .847 .958 .878 .637 .353 .139 .167 .345 .598 .855 1.000 .941 .695 .388 .153 .181 .329 .544 .795 .980 .970 .738 .416 .163 .177 .301 .476 .704 .916 .965 .770 .446 .177 .152 .267 .424 .628 .843 .942 .806 .499 .209 .115 .231 .395 .596 .796 .912 .837 .565 .257 1746 -.313 3846 -1.750 11.01196 .020519 .589030 -.094898 Correlation Surface at 1846 3846 .008 .013 .163 .471 .556 .255 .078 .060 .002 .007 .005 .052 .322 .696 .373 .075 .007 .010 .000 .024 .072 .318 .732 .483 .117 .000 .072 .000 .073 .152 .446 .877 .489 .144 .005 .082 .001 .073 .237 .582 1.000 .396 .046 .005 .024 .014 .031 .199 .521 .789 .310 .003 .006 .007 .055 .000 .055 .260 .486 .322 .021 .031 .045 .072 .015 .009 .165 .380 .374 .122 .001 .075 .058 .004 .032 .240 .531 .424 .181 .024 .007 r_peak,r_snr = .1990195 10.22935 Correlation Surface of oversamples image at 1846 3846 .000 .021 .165 .481 .788 .857 .668 .387 .140 .004 .037 .197 .531 .830 .874 .677 .403 .160 .023 .070 .262 .628 .907 .867 .605 .331 .132 .059 .126 .350 .737 .988 .846 .490 .210 .066 .094 .184 .419 .785 1.000 .793 .371 .098 .011 .096 .198 .410 .709 .885 .691 .280 .037 .001 .058 .149 .316 .530 .671 .550 .228 .020 .014 .014 .073 .193 .344 .464 .429 .218 .032 .008 .001 .019 .099 .211 .319 .350 .235 .073 .000 1846 .031 3846 .813 10.22935 .009350 .079519 .007933 Correlation Surface at 1946 3846 .134 .281 .530 .741 .703 .520 .449 .390 .295 .173 .221 .447 .678 .699 .528 .412 .306 .254 .210 .229 .396 .695 .789 .475 .342 .236 .206 .221 .322 .386 .686 .998 .503 .286 .223 .218 .167 .340 .368 .540 1.000 .651 .331 .253 .267 .100 .208 .318 .457 .928 .758 .437 .311 .272 .118 .131 .288 .484 .804 .684 .450 .327 .256 .130 .119 .315 .567 .672 .571 .392 .304 .227 .140 .098 .254 .573 .630 .529 .324 .294 .219 r_peak,r_snr = .2638007 5.68103 Correlation Surface of oversamples image at 1946 3846 .309 .414 .496 .546 .539 .479 .409 .362 .339 .284 .411 .542 .639 .639 .537 .421 .350 .318 .267 .404 .589 .763 .796 .648 .463 .358 .316 .262 .383 .593 .842 .940 .774 .526 .381 .328 .265 .353 .551 .835 1.000 .866 .593 .417 .350 .266 .327 .496 .775 .980 .900 .648 .459 .375 .258 .310 .457 .713 .926 .891 .676 .489 .391 .239 .298 .434 .663 .859 .845 .663 .488 .388 .226 .301 .431 .625 .785 .768 .612 .459 .371 1946 .063 3846 .688 5.68103 .063604 1.736637 -.312461 Correlation Surface at 2046 3846 .189 .242 .123 .107 .252 .645 .765 .210 .034 .061 .151 .136 .162 .329 .552 .526 .258 .057 .016 .090 .108 .341 .528 .406 .183 .087 .040 .000 .023 .012 .269 .857 .496 .107 .015 .019 .022 .000 .000 .122 1.000 .577 .063 .000 .003 .015 .000 .008 .117 .805 .544 .035 .000 .009 .005 .003 .017 .094 .450 .472 .059 .000 .045 .000 .000 .005 .079 .280 .370 .113 .002 .064 .023 .001 .004 .169 .293 .295 .129 .038 .024 r_peak,r_snr = .1417934 10.0336 Correlation Surface of oversamples image at 2046 3846 .073 .212 .392 .527 .528 .370 .196 .112 .083 .037 .201 .455 .622 .600 .402 .187 .078 .037 .000 .116 .453 .739 .729 .472 .195 .056 .012 .026 .042 .411 .852 .887 .548 .195 .036 .001 .066 .012 .356 .906 1.000 .592 .178 .020 .000 .063 .006 .304 .858 .993 .576 .153 .012 .001 .033 .007 .244 .702 .844 .498 .128 .010 .000 .012 .010 .177 .497 .626 .400 .117 .014 .001 .004 .009 .119 .331 .445 .327 .127 .028 .005 2046 .344 3846 .219 10.03360 .009723 .164760 -.011409 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .036 .177 .507 .362 .063 .017 .053 .058 .077 .052 .187 .473 .444 .179 .063 .058 .078 .083 .062 .223 .479 .588 .432 .223 .098 .093 .122 .074 .198 .396 .698 .757 .408 .119 .083 .165 .101 .221 .400 .825 1.000 .509 .167 .117 .178 .097 .312 .555 .766 .876 .534 .252 .241 .301 .084 .370 .658 .603 .488 .433 .283 .218 .308 .069 .352 .711 .582 .279 .242 .207 .066 .059 .021 .212 .604 .581 .288 .177 .133 .027 .009 r_peak,r_snr = .1792286 7.37859 Correlation Surface of oversamples image at 146 4246 .359 .469 .580 .645 .647 .585 .468 .321 .196 .367 .496 .638 .739 .773 .722 .588 .406 .248 .326 .475 .656 .805 .878 .834 .675 .459 .270 .272 .426 .636 .839 .959 .919 .730 .486 .276 .252 .392 .600 .836 1.000 .980 .775 .510 .289 .287 .404 .567 .774 .955 .976 .798 .538 .316 .366 .469 .556 .673 .811 .860 .748 .537 .336 .471 .577 .587 .591 .638 .668 .615 .482 .328 .564 .694 .654 .556 .500 .478 .446 .379 .284 146 1.750 4246 10.156 7.37859 .023998 .080306 -.003997 Correlation Surface at 246 4246 .346 .370 .072 .005 .002 .008 .002 .001 .179 .121 .123 .118 .025 .005 .019 .009 .011 .108 .019 .039 .139 .272 .208 .114 .008 .037 .037 .005 .018 .110 .649 .783 .357 .012 .088 .024 .148 .111 .047 .485 1.000 .450 .025 .198 .045 .405 .425 .146 .276 .403 .092 .087 .225 .112 .185 .333 .203 .207 .034 .011 .120 .162 .188 r_peak,r_snr = 9.60159E-02 8.69515 Correlation Surface of oversamples image at 246 4246 .135 .231 .260 .263 .277 .277 .213 .077 .003 .102 .262 .400 .456 .446 .370 .220 .056 .000 .059 .218 .474 .663 .680 .526 .273 .049 .005 .041 .163 .477 .822 .923 .713 .366 .064 .012 .063 .141 .433 .837 1.000 .784 .414 .081 .014 .155 .176 .394 .715 .834 .628 .319 .061 .014 .317 .265 .374 .526 .522 .334 .131 .012 .025 .422 .324 .322 .318 .227 .093 .012 .005 .051 .374 .266 .197 .131 .051 .003 .010 .048 .082 246 4.938 4246 11.906 8.69515 .034265 .056419 .000514 Correlation Surface at 346 4246 .052 .177 .339 .395 .244 .135 .044 .004 .089 .043 .150 .257 .339 .289 .153 .050 .006 .081 .025 .111 .248 .292 .228 .105 .059 .004 .053 .003 .060 .260 .478 .523 .203 .026 .004 .039 .005 .029 .335 .766 1.000 .457 .007 .010 .048 .009 .014 .288 .698 .868 .490 .011 .037 .059 .002 .011 .183 .380 .499 .332 .036 .052 .101 .006 .007 .241 .351 .315 .183 .052 .034 .118 .002 .007 .290 .425 .311 .133 .036 .012 .107 r_peak,r_snr = .1524462 12.80749 Correlation Surface of oversamples image at 346 4246 .157 .271 .365 .376 .331 .263 .176 .092 .041 .119 .253 .404 .485 .479 .407 .280 .140 .046 .104 .271 .499 .674 .730 .656 .471 .245 .076 .108 .309 .599 .843 .957 .899 .675 .372 .126 .117 .321 .609 .858 1.000 .987 .786 .467 .179 .117 .285 .504 .702 .841 .878 .765 .511 .234 .104 .228 .372 .505 .616 .678 .652 .503 .280 .086 .185 .291 .379 .450 .501 .516 .448 .291 .071 .165 .264 .329 .361 .383 .400 .365 .256 346 .688 4246 4.375 12.80749 .025122 .040007 -.003770 Correlation Surface at 446 4246 .094 .153 .394 .596 .323 .265 .086 .003 .009 .037 .045 .269 .553 .305 .286 .177 .087 .039 .040 .023 .198 .525 .345 .319 .364 .232 .109 .111 .072 .248 .695 .726 .481 .353 .248 .081 .091 .087 .265 .744 1.000 .469 .116 .031 .006 .125 .208 .460 .714 .679 .204 .015 .036 .051 .222 .384 .634 .627 .422 .047 .003 .039 .047 .258 .318 .369 .338 .249 .053 .013 .001 .003 .237 .192 .116 .170 .247 .210 .015 .002 .018 r_peak,r_snr = .1182558 8.02722 Correlation Surface of oversamples image at 446 4246 .383 .479 .476 .360 .265 .267 .319 .366 .363 .405 .506 .555 .518 .452 .460 .528 .581 .558 .377 .511 .638 .724 .734 .741 .772 .763 .668 .299 .481 .670 .853 .954 .946 .874 .751 .573 .248 .463 .672 .871 1.000 .949 .762 .557 .356 .266 .481 .660 .815 .900 .790 .545 .333 .170 .343 .495 .609 .712 .740 .585 .336 .162 .060 .448 .495 .532 .603 .606 .440 .201 .063 .012 .490 .447 .425 .477 .493 .353 .134 .022 .000 446 1.156 4246 -6.125 8.02722 .044716 .081380 .018108 Correlation Surface at 546 4246 .008 .000 .056 .256 .422 .322 .140 .038 .000 .005 .001 .063 .261 .408 .299 .099 .011 .008 .001 .011 .129 .421 .526 .318 .104 .002 .034 .000 .026 .199 .651 .798 .376 .096 .000 .064 .002 .042 .235 .756 1.000 .469 .080 .000 .067 .014 .067 .251 .689 .941 .506 .079 .001 .053 .021 .084 .259 .620 .772 .422 .085 .001 .037 .018 .077 .245 .562 .630 .291 .069 .000 .038 .028 .094 .239 .449 .480 .195 .039 .000 .040 r_peak,r_snr = .3928356 11.13128 Correlation Surface of oversamples image at 546 4246 .117 .356 .654 .848 .905 .847 .681 .428 .182 .162 .415 .715 .886 .878 .749 .568 .368 .174 .200 .452 .760 .932 .893 .712 .494 .304 .150 .218 .459 .769 .964 .953 .771 .507 .272 .123 .221 .455 .754 .961 1.000 .866 .579 .278 .107 .224 .455 .736 .923 .979 .899 .642 .307 .105 .234 .454 .712 .864 .898 .852 .659 .344 .118 .242 .437 .675 .811 .824 .788 .650 .373 .139 .240 .421 .652 .800 .815 .773 .648 .395 .163 546 -.594 4246 -.844 11.13128 .003211 .021405 -.001102 Correlation Surface at 646 4246 .047 .035 .001 .301 .590 .512 .314 .063 .039 .064 .050 .026 .195 .655 .500 .207 .006 .083 .028 .017 .000 .155 .666 .526 .326 .000 .282 .028 .018 .051 .314 .885 .484 .251 .009 .248 .077 .105 .019 .304 1.000 .560 .251 .060 .080 .131 .215 .006 .137 .632 .616 .362 .161 .019 .149 .217 .051 .025 .394 .673 .392 .055 .071 .151 .257 .041 .000 .179 .637 .361 .025 .241 .284 .543 .043 .002 .032 .311 .217 .102 .094 r_peak,r_snr = .1103122 7.9598 Correlation Surface of oversamples image at 646 4246 .012 .002 .040 .197 .273 .193 .121 .124 .123 .001 .005 .083 .276 .361 .230 .092 .058 .063 .028 .051 .199 .476 .576 .352 .106 .029 .028 .072 .127 .347 .718 .861 .563 .185 .041 .029 .101 .187 .430 .822 1.000 .731 .310 .098 .065 .094 .199 .408 .729 .893 .719 .385 .174 .121 .056 .153 .309 .531 .657 .570 .365 .204 .140 .016 .070 .169 .314 .418 .400 .293 .177 .101 .000 .010 .046 .133 .239 .282 .238 .146 .061 646 -1.063 4246 4.000 7.95980 .024029 .136765 -.018020 Correlation Surface at 746 4246 .145 .173 .315 .146 .101 .209 .169 .081 .020 .040 .050 .128 .051 .078 .179 .093 .142 .247 .019 .038 .151 .128 .218 .243 .039 .047 .261 .043 .034 .229 .494 .644 .411 .071 .001 .037 .004 .000 .111 .446 1.000 .537 .170 .000 .005 .025 .007 .040 .127 .555 .225 .071 .012 .002 .017 .022 .041 .040 .125 .000 .039 .033 .017 .005 .140 .139 .085 .092 .041 .293 .004 .061 .048 .120 .148 .128 .111 .015 .194 .001 .109 r_peak,r_snr = .1062751 8.06871 Correlation Surface of oversamples image at 746 4246 .232 .224 .114 .046 .056 .122 .135 .060 .017 .335 .391 .294 .177 .144 .182 .180 .095 .035 .349 .498 .535 .473 .398 .359 .293 .177 .083 .227 .421 .649 .799 .771 .630 .445 .277 .152 .077 .237 .540 .897 1.000 .802 .515 .313 .194 .006 .086 .327 .715 .895 .700 .402 .225 .157 .003 .018 .147 .414 .559 .396 .171 .068 .054 .005 .003 .062 .202 .269 .142 .017 .002 .001 .001 .008 .049 .128 .143 .041 .008 .095 .094 746 8.906 4246 6.094 8.06871 .031508 .052224 -.006299 Correlation Surface at 846 4246 .030 .104 .286 .433 .346 .318 .290 .180 .040 .046 .158 .383 .525 .418 .317 .183 .149 .087 .037 .117 .342 .522 .608 .467 .180 .085 .107 .011 .050 .257 .579 .796 .621 .250 .041 .031 .006 .024 .194 .628 1.000 .677 .276 .031 .000 .003 .015 .189 .589 .997 .815 .319 .064 .001 .004 .015 .194 .561 .789 .804 .445 .130 .011 .018 .030 .178 .529 .577 .562 .461 .154 .016 .017 .031 .171 .550 .628 .520 .422 .160 .017 r_peak,r_snr = .2145405 6.60653 Correlation Surface of oversamples image at 846 4246 .133 .328 .570 .772 .889 .921 .853 .684 .434 .128 .326 .591 .820 .916 .872 .740 .569 .371 .149 .347 .618 .861 .945 .841 .646 .453 .293 .185 .391 .654 .893 .976 .860 .632 .408 .250 .216 .436 .692 .913 1.000 .912 .690 .440 .260 .236 .470 .722 .917 .996 .943 .763 .515 .311 .239 .482 .731 .893 .944 .911 .789 .584 .378 .222 .459 .704 .837 .855 .824 .749 .605 .423 .194 .409 .648 .768 .763 .728 .677 .575 .421 846 .000 4246 -3.094 6.60653 .016871 .158401 -.013935 Correlation Surface at 946 4246 .031 .137 .266 .376 .515 .495 .244 .069 .001 .017 .130 .315 .473 .596 .512 .246 .088 .002 .004 .106 .386 .635 .761 .582 .255 .119 .007 .000 .058 .354 .738 .952 .755 .353 .169 .018 .000 .035 .256 .681 1.000 .890 .437 .196 .025 .004 .047 .223 .595 .964 .931 .442 .150 .015 .010 .072 .233 .554 .949 .927 .464 .113 .005 .008 .085 .264 .554 .896 .850 .440 .114 .005 .004 .081 .301 .589 .831 .745 .384 .115 .006 r_peak,r_snr = .33076 6.40609 Correlation Surface of oversamples image at 946 4246 .368 .538 .687 .823 .892 .819 .630 .431 .287 .341 .510 .669 .821 .913 .856 .659 .440 .277 .333 .505 .679 .846 .949 .898 .694 .456 .271 .328 .506 .700 .882 .986 .930 .722 .473 .272 .320 .497 .705 .898 1.000 .934 .723 .474 .269 .323 .488 .697 .893 .992 .916 .702 .459 .259 .354 .503 .703 .898 .996 .915 .699 .458 .263 946 .563 4246 .750 6.40609 .038316 .491358 -.110888 Correlation Surface at 1046 4246 .000 .039 .211 .507 .623 .375 .098 .023 .006 .002 .058 .229 .606 .758 .454 .124 .024 .004 .000 .040 .198 .640 .872 .615 .225 .032 .004 .011 .004 .117 .607 .972 .715 .310 .044 .003 .017 .000 .095 .538 1.000 .768 .280 .039 .003 .012 .004 .123 .459 .848 .760 .245 .032 .004 .010 .010 .128 .429 .814 .733 .272 .046 .008 .011 .011 .127 .443 .802 .684 .249 .045 .018 .015 .002 .094 .365 .612 .594 .212 .032 .042 r_peak,r_snr = .2878032 7.45352 Correlation Surface of oversamples image at 1046 4246 .216 .369 .546 .684 .710 .607 .449 .288 .142 .178 .344 .558 .743 .796 .694 .526 .360 .198 .136 .313 .564 .807 .905 .805 .605 .412 .237 .111 .288 .552 .833 .990 .916 .682 .442 .245 .108 .274 .516 .795 1.000 .982 .746 .462 .235 .121 .266 .465 .707 .927 .974 .782 .482 .229 .128 .251 .415 .617 .824 .916 .784 .502 .236 .119 .227 .383 .574 .762 .860 .767 .517 .256 .100 .203 .372 .578 .751 .824 .736 .512 .270 1046 .219 4246 .969 7.45351 .009004 .105341 -.010367 Correlation Surface at 1146 4246 .011 .041 .105 .357 .761 .523 .123 .004 .023 .001 .046 .130 .387 .824 .523 .084 .000 .037 .011 .088 .208 .471 .889 .502 .077 .000 .056 .051 .162 .368 .724 .988 .455 .088 .000 .052 .046 .157 .417 .803 1.000 .509 .156 .007 .035 .019 .087 .279 .600 .865 .525 .174 .018 .028 .003 .029 .128 .352 .647 .385 .089 .007 .020 .002 .021 .099 .271 .502 .276 .063 .008 .009 .009 .059 .166 .330 .509 .295 .089 .023 .003 r_peak,r_snr = .2524021 11.07964 Correlation Surface of oversamples image at 1146 4246 .193 .258 .326 .428 .573 .674 .608 .409 .209 .254 .367 .488 .611 .728 .763 .644 .437 .247 .303 .463 .632 .781 .881 .867 .708 .490 .309 .322 .514 .711 .877 .982 .954 .776 .550 .372 .299 .493 .695 .873 1.000 .998 .825 .587 .401 .239 .404 .588 .769 .925 .966 .816 .569 .371 .168 .293 .441 .611 .783 .856 .731 .492 .297 .116 .211 .328 .476 .640 .718 .606 .388 .215 .097 .179 .280 .408 .548 .608 .499 .302 .153 1146 -.250 4246 2.469 11.07964 .012614 .218911 -.020609 Correlation Surface at 1246 4246 .138 .318 .546 .702 .647 .382 .151 .044 .008 .088 .280 .567 .740 .677 .447 .215 .065 .007 .077 .270 .608 .862 .845 .546 .267 .074 .004 .075 .255 .609 .966 .994 .623 .313 .110 .010 .053 .197 .496 .918 1.000 .579 .264 .121 .025 .029 .139 .409 .823 .941 .554 .216 .094 .021 .010 .083 .360 .797 .929 .644 .278 .112 .033 .001 .054 .281 .758 .920 .689 .339 .157 .077 .000 .052 .244 .635 .839 .605 .295 .142 .082 r_peak,r_snr = .3768216 6.73283 Correlation Surface of oversamples image at 1246 4246 .422 .594 .744 .808 .779 .695 .589 .465 .326 .431 .617 .786 .874 .860 .770 .646 .506 .358 .431 .631 .820 .937 .944 .854 .712 .554 .398 .404 .608 .816 .963 .998 .915 .758 .583 .421 .347 .541 .757 .932 1.000 .931 .765 .574 .409 .282 .456 .667 .860 .956 .907 .740 .537 .368 .229 .388 .589 .786 .900 .871 .713 .504 .326 .194 .348 .544 .738 .862 .851 .708 .501 .313 .170 .328 .529 .722 .847 .851 .728 .531 .337 1246 -.563 4246 -6.781 6.73283 .007440 .331044 -.010349 Correlation Surface at 1346 4246 .027 .166 .465 .770 .881 .483 .204 .065 .009 .022 .096 .304 .598 .847 .417 .169 .067 .015 .015 .084 .231 .490 .810 .422 .161 .051 .005 .006 .056 .223 .566 .906 .525 .223 .076 .003 .006 .028 .205 .623 1.000 .675 .305 .117 .006 .012 .041 .198 .527 .803 .651 .331 .106 .009 .025 .085 .239 .477 .631 .512 .283 .065 .000 .047 .122 .282 .548 .750 .519 .235 .045 .003 .056 .104 .224 .476 .778 .558 .237 .067 .000 r_peak,r_snr = .2257686 7.79446 Correlation Surface of oversamples image at 1346 4246 .229 .311 .436 .618 .706 .564 .350 .224 .175 .232 .335 .475 .656 .742 .606 .393 .264 .213 .247 .390 .559 .741 .813 .670 .452 .318 .265 .256 .447 .658 .856 .919 .768 .539 .389 .325 .242 .461 .706 .928 1.000 .860 .629 .457 .370 .217 .429 .671 .892 .980 .874 .668 .492 .384 .214 .395 .597 .776 .859 .787 .626 .474 .364 .248 .398 .547 .670 .724 .661 .531 .410 .316 .317 .445 .555 .638 .662 .588 .459 .350 .270 1346 -.063 4246 3.156 7.79446 .014398 .074969 -.006959 Correlation Surface at 1446 4246 .000 .004 .087 .390 .633 .497 .212 .055 .003 .000 .003 .047 .311 .729 .619 .223 .060 .002 .000 .005 .044 .267 .761 .753 .316 .081 .002 .001 .011 .088 .370 .902 .797 .306 .071 .001 .003 .009 .094 .438 1.000 .707 .181 .019 .001 .000 .005 .064 .366 .858 .576 .121 .001 .013 .004 .017 .066 .331 .704 .481 .115 .001 .019 .000 .024 .116 .366 .609 .389 .107 .009 .008 .011 .002 .092 .364 .532 .327 .098 .017 .000 r_peak,r_snr = .2847463 12.69681 Correlation Surface of oversamples image at 1446 4246 .015 .073 .223 .459 .692 .804 .732 .522 .295 .031 .103 .263 .503 .736 .848 .771 .554 .325 .053 .152 .342 .602 .826 .903 .782 .536 .302 .063 .188 .416 .715 .943 .962 .771 .488 .252 .061 .195 .439 .760 1.000 .983 .734 .425 .195 .044 .158 .377 .665 .886 .869 .626 .333 .130 .035 .134 .330 .579 .757 .738 .528 .273 .097 .041 .142 .333 .558 .699 .664 .471 .240 .081 .061 .172 .365 .577 .686 .630 .444 .228 .077 1446 .219 4246 -.094 12.69681 .005960 .062126 .004894 Correlation Surface at 1546 4246 .088 .202 .431 .559 .718 .677 .506 .311 .196 .126 .228 .389 .584 .765 .651 .472 .276 .164 .094 .176 .324 .584 .809 .666 .473 .292 .169 .047 .115 .288 .616 .876 .805 .563 .327 .206 .047 .108 .296 .709 1.000 .934 .682 .360 .262 .073 .144 .317 .676 .939 .903 .726 .418 .321 .075 .183 .358 .607 .751 .794 .658 .412 .329 .047 .149 .322 .617 .716 .737 .574 .312 .290 .042 .124 .240 .543 .723 .731 .593 .303 .290 r_peak,r_snr = .2968546 4.78992 Correlation Surface of oversamples image at 1546 4246 .221 .321 .474 .681 .852 .868 .723 .525 .357 .237 .346 .502 .694 .846 .877 .773 .585 .386 .260 .401 .583 .770 .886 .901 .819 .652 .436 .270 .456 .684 .883 .960 .931 .844 .697 .496 .259 .471 .734 .948 1.000 .929 .825 .700 .538 .236 .439 .692 .897 .942 .862 .759 .656 .538 .218 .396 .607 .774 .815 .759 .678 .595 .498 .206 .371 .548 .672 .703 .669 .615 .545 .445 .182 .355 .533 .638 .654 .626 .584 .516 .398 1546 -.094 4246 2.500 4.78992 .024764 .088423 -.002616 Correlation Surface at 1646 4246 .175 .263 .316 .256 .336 .495 .570 .605 .461 .160 .192 .202 .259 .397 .567 .443 .475 .435 .122 .176 .194 .364 .457 .547 .282 .305 .443 .106 .193 .295 .644 .656 .524 .243 .203 .432 .082 .210 .390 .877 1.000 .639 .364 .255 .332 .107 .234 .395 .703 .987 .739 .481 .369 .325 .186 .275 .377 .568 .840 .764 .509 .381 .325 .287 .373 .380 .513 .790 .790 .525 .363 .252 .378 .546 .441 .408 .646 .790 .632 .429 .275 r_peak,r_snr = .1825394 3.61828 Correlation Surface of oversamples image at 1646 4246 .322 .371 .415 .427 .425 .418 .383 .338 .295 .397 .505 .602 .608 .541 .462 .385 .324 .279 .458 .617 .786 .832 .728 .570 .433 .345 .295 .479 .640 .848 .973 .913 .720 .521 .394 .331 .460 .577 .756 .946 1.000 .855 .630 .461 .374 .422 .488 .606 .800 .958 .916 .716 .521 .406 .381 .427 .503 .661 .851 .897 .749 .550 .413 .356 .410 .478 .603 .773 .851 .749 .560 .406 .361 .425 .505 .620 .762 .836 .762 .587 .416 1646 -1.188 4246 9.375 3.61828 .045049 .076616 -.011746 Correlation Surface at 1746 4246 .027 .227 .366 .521 .383 .221 .057 .010 .002 .005 .091 .166 .448 .368 .204 .087 .019 .005 .008 .058 .176 .536 .543 .182 .042 .003 .012 .038 .118 .315 .809 .804 .216 .061 .014 .002 .114 .160 .288 .835 1.000 .324 .133 .116 .000 .178 .168 .215 .523 .758 .402 .165 .128 .016 .141 .130 .288 .527 .516 .414 .267 .130 .016 .140 .101 .302 .819 .613 .324 .243 .129 .019 .096 .122 .286 .899 .898 .352 .133 .126 .054 r_peak,r_snr = .1440717 8.91453 Correlation Surface of oversamples image at 1746 4246 .215 .269 .385 .502 .511 .440 .355 .244 .122 .212 .307 .460 .604 .602 .470 .329 .204 .096 .187 .316 .519 .729 .757 .571 .338 .166 .063 .156 .299 .549 .821 .898 .693 .377 .146 .039 .148 .296 .585 .895 1.000 .806 .452 .165 .039 1746 .406 4246 4.781 8.91453 .026869 .106646 -.024188 Correlation Surface at 1846 4246 .024 .001 .040 .287 .702 .553 .137 .002 .017 .018 .001 .039 .316 .727 .465 .077 .001 .051 .011 .000 .038 .327 .724 .396 .049 .001 .045 .013 .000 .050 .412 .908 .474 .070 .000 .017 .021 .000 .047 .409 1.000 .564 .079 .001 .007 .012 .000 .029 .240 .649 .402 .042 .001 .006 .002 .000 .008 .099 .312 .208 .011 .008 .011 .002 .000 .006 .058 .173 .113 .000 .021 .026 .003 .000 .014 .066 .122 .077 .000 .028 .044 r_peak,r_snr = .3446433 16.01974 Correlation Surface of oversamples image at 1846 4246 .042 .135 .308 .521 .645 .579 .374 .176 .061 .043 .140 .325 .553 .679 .602 .386 .179 .062 .046 .150 .359 .625 .772 .685 .444 .212 .077 .051 .162 .397 .715 .901 .806 .528 .257 .095 .055 .168 .416 .771 1.000 .907 .592 .284 .102 .057 .162 .398 .751 .999 .921 .595 .274 .091 .055 .145 .345 .650 .879 .822 .529 .232 .068 .047 .118 .269 .502 .684 .650 .417 .173 .043 .036 .087 .194 .359 .489 .467 .297 .114 .021 1846 .125 4246 2.781 16.01974 .002737 .011496 -.000581 Correlation Surface at 1946 4246 .081 .166 .344 .486 .657 .594 .260 .082 .065 .047 .172 .385 .554 .643 .538 .266 .091 .062 .038 .131 .295 .547 .739 .471 .211 .091 .069 .060 .115 .206 .476 .939 .616 .240 .099 .082 .067 .106 .180 .443 1.000 .730 .310 .130 .089 .057 .088 .198 .507 .887 .602 .249 .117 .069 .067 .093 .203 .550 .792 .466 .159 .067 .047 .106 .123 .206 .470 .763 .539 .218 .066 .047 .126 .146 .210 .359 .646 .598 .330 .111 .054 r_peak,r_snr = .2811976 8.02143 Correlation Surface of oversamples image at 1946 4246 .349 .434 .539 .659 .717 .670 .570 .457 .338 .307 .396 .522 .681 .774 .713 .570 .436 .325 .275 .374 .529 .733 .876 .829 .649 .473 .345 .252 .362 .543 .782 .966 .948 .755 .542 .385 .242 .365 .562 .810 1.000 .998 .813 .586 .408 .254 .398 .601 .833 .990 .970 .791 .566 .386 .285 .454 .661 .861 .965 .904 .715 .500 .327 .316 .503 .714 .887 .943 .840 .639 .432 .268 .332 .522 .731 .894 .931 .810 .605 .402 .240 1946 .250 4246 .031 8.02143 .006105 .114743 .002164 Correlation Surface at 2046 4246 .013 .048 .293 .512 .566 .371 .123 .022 .000 .015 .034 .277 .531 .634 .406 .114 .010 .002 .014 .028 .249 .584 .757 .439 .098 .003 .011 .007 .033 .218 .622 .922 .506 .101 .003 .012 .001 .034 .215 .651 1.000 .600 .136 .002 .007 .000 .031 .225 .630 .896 .593 .158 .002 .008 .000 .026 .220 .566 .764 .485 .144 .010 .002 .001 .035 .250 .598 .755 .367 .106 .022 .001 .012 .083 .313 .626 .704 .322 .077 .013 .000 r_peak,r_snr = .3082286 8.00393 Correlation Surface of oversamples image at 2046 4246 .205 .375 .549 .669 .677 .567 .375 .184 .068 .193 .371 .589 .767 .800 .664 .428 .204 .071 .194 .379 .630 .857 .918 .768 .498 .244 .086 .202 .396 .667 .916 .994 .843 .558 .283 .104 .207 .411 .683 .924 1.000 .861 .582 .301 .113 .215 .424 .681 .891 .952 .830 .574 .302 .115 .224 .433 .669 .844 .886 .777 .544 .290 .112 .225 .429 .648 .799 .823 .710 .493 .264 .104 .221 .424 .637 .778 .779 .641 .425 .222 .090 2046 -.063 4246 -.219 8.00393 .006251 .082872 -.003192 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .104 .246 .356 .487 .583 .498 .412 .286 .203 .083 .253 .359 .516 .668 .572 .484 .320 .157 .064 .222 .378 .583 .779 .615 .454 .306 .132 .065 .207 .398 .671 .912 .689 .420 .271 .133 .066 .202 .431 .756 1.000 .775 .440 .255 .138 .050 .184 .470 .785 .907 .717 .456 .248 .129 .046 .177 .483 .773 .784 .587 .444 .251 .105 .051 .156 .428 .719 .738 .568 .428 .246 .086 .043 .129 .395 .713 .717 .572 .398 .236 .108 r_peak,r_snr = .3720101 5.61097 Correlation Surface of oversamples image at 146 4646 .354 .422 .519 .632 .702 .685 .620 .567 .526 .363 .447 .557 .690 .776 .748 .648 .555 .486 .369 .471 .600 .755 .858 .824 .686 .543 .436 .376 .494 .648 .825 .944 .913 .747 .554 .408 .394 .521 .687 .872 1.000 .982 .815 .594 .416 .420 .549 .707 .871 .987 .984 .849 .639 .452 .454 .583 .715 .832 .904 .901 .809 .650 .486 .491 .622 .722 .781 .796 .773 .713 .617 .501 .518 .653 .730 .744 .714 .665 .617 .566 .497 146 .219 4646 .750 5.61097 .009044 .050166 .003263 Correlation Surface at 246 4646 .079 .339 .076 .007 .186 .401 .069 .058 .184 .084 .347 .197 .088 .003 .167 .256 .346 .701 .070 .283 .148 .059 .007 .058 .311 .505 .852 .064 .099 .010 .058 .180 .267 .140 .116 .375 .005 .053 .005 .319 1.000 .638 .050 .050 .263 .001 .004 .046 .302 .925 .499 .028 .156 .336 .042 .000 .143 .240 .277 .153 .017 .088 .083 .000 .011 .067 .268 .140 .051 .080 .039 .001 .088 .000 .001 .073 .125 .038 .231 .157 .018 r_peak,r_snr = 7.33575E-02 9.08059 Correlation Surface of oversamples image at 246 4646 .545 .338 .372 .661 .636 .541 .673 1.250 .699 .844 1.160 2.026 .671 1.046 1.526 2.516 .595 1.045 1.545 2.497 .507 .864 1.270 2.097 .425 .609 .925 1.632 .334 .399 .699 1.343 246 3.875 4646 -5.375 9.08059 .058182 .062132 .005289 Correlation Surface at 346 4646 .003 .009 .237 .312 .010 .027 .050 .239 .085 .131 .348 .291 .108 .045 .009 .093 .250 .016 .287 .808 .429 .107 .043 .001 .096 .050 .065 .007 .250 .301 .591 .270 .039 .019 .003 .061 .019 .202 .139 .690 1.000 .212 .041 .003 .007 .067 .189 .035 .184 .474 .179 .182 .015 .003 .004 .001 .001 .171 .290 .075 .259 .126 .001 .008 .019 .011 .339 .425 .028 .105 .224 .181 .029 .001 .092 .124 .044 .003 .039 .167 .334 r_peak,r_snr = 7.57113E-02 6.52086 Correlation Surface of oversamples image at 346 4646 .635 .394 .180 .043 .000 .030 .040 .006 .011 .414 .368 .293 .180 .063 .004 .004 .004 .001 .206 .302 .423 .466 .354 .141 .016 .001 .001 .111 .233 .488 .751 .780 .451 .103 .003 .000 .089 .164 .407 .779 1.000 .711 .229 .029 .007 .088 .100 .236 .537 .852 .741 .321 .085 .044 .066 .043 .088 .255 .528 .569 .320 .138 .107 .023 .010 .024 .107 .290 .364 .242 .144 .147 .002 .004 .021 .091 .230 .279 .181 .116 .145 346 -5.500 4646 -.969 6.52085 .048983 .040273 -.014774 Correlation Surface at 446 4646 .071 .067 .059 .032 .042 .209 .200 .097 .054 .102 .006 .011 .034 .000 .413 .419 .004 .119 .185 .030 .021 .010 .014 .168 .500 .000 .257 .434 .212 .003 .285 .340 .100 .236 .070 .002 .415 .153 .014 .508 1.000 .015 .004 .091 .088 .065 .069 .019 .279 .507 .026 .334 .019 .050 .025 .021 .002 .024 .174 .019 .135 .015 .107 .059 .087 .116 .071 .085 .063 .020 .057 .511 .005 .492 .566 .160 .058 .072 .092 .057 .664 r_peak,r_snr = 6.76943E-02 9.00437 Correlation Surface of oversamples image at 446 4646 .012 .061 .211 .190 .055 .003 .006 .054 .108 .110 .004 .156 .310 .237 .072 .012 .017 .061 .222 .008 .089 .389 .563 .365 .099 .018 .023 .182 .010 .081 .459 .885 .801 .291 .024 .000 .058 .001 .129 .522 1.000 .997 .393 .011 .059 .005 .025 .182 .519 .859 .808 .298 .000 .224 .000 .030 .141 .381 .581 .470 .141 .010 .304 .002 .004 .034 .151 .292 .214 .042 .016 .195 .001 .001 .000 .020 .104 .088 .008 .012 .057 446 -8.250 4646 -8.031 9.00437 .023989 .058404 .008825 Correlation Surface at 546 4646 .027 .072 .009 .265 .239 .013 .007 .012 .001 .035 .054 .003 .218 .146 .082 .014 .074 .082 .051 .051 .001 .154 .268 .004 .001 .086 .068 .172 .142 .079 .091 .735 .461 .079 .016 .002 .204 .058 .057 .120 1.000 .943 .161 .000 .003 .024 .052 .014 .152 .490 .527 .266 .006 .017 .042 .133 .016 .018 .052 .086 .165 .049 .009 .112 .099 .000 .000 .013 .001 .002 .000 .027 .000 .000 .001 .086 .197 .000 .050 .078 .000 r_peak,r_snr = 7.66634E-02 9.85562 Correlation Surface of oversamples image at 546 4646 .025 .222 .492 .385 .047 .067 .207 .078 .000 .020 .190 .484 .479 .133 .007 .114 .079 .007 .016 .186 .532 .671 .367 .046 .011 .045 .029 .014 .191 .585 .890 .735 .290 .030 .008 .051 .018 .207 .606 .987 1.000 .587 .157 .002 .049 .029 .210 .558 .892 .973 .683 .267 .029 .022 .040 .179 .446 .684 .748 .582 .311 .089 .000 .043 .122 .301 .466 .519 .449 .329 .191 .043 .024 .049 .146 .276 .369 .373 .351 .315 .185 546 .313 4646 -1.375 9.85562 .046784 .103680 .002392 Correlation Surface at 646 4646 .007 .013 .002 .120 .231 .206 .000 .033 .017 .032 .040 .009 .195 .266 .159 .003 .109 .010 .002 .040 .011 .261 .419 .153 .017 .020 .001 .038 .006 .001 .249 .715 .188 .046 .069 .057 .019 .000 .000 .363 1.000 .269 .010 .133 .198 .008 .029 .029 .641 .917 .347 .000 .045 .108 .043 .328 .124 .470 .462 .194 .015 .010 .003 .030 .369 .117 .069 .199 .172 .011 .108 .047 .000 .045 .049 .007 .044 .355 .061 .036 .145 r_peak,r_snr = 8.71963E-02 9.79561 Correlation Surface of oversamples image at 646 4646 .000 .075 .258 .395 .405 .355 .275 .178 .084 .003 .049 .277 .508 .518 .378 .238 .161 .134 .006 .044 .336 .693 .727 .470 .220 .108 .105 .001 .066 .424 .884 .944 .590 .220 .057 .040 .006 .109 .506 .981 1.000 .607 .207 .027 .004 .036 .146 .534 .927 .830 .456 .151 .012 .002 .066 .143 .470 .756 .578 .264 .085 .005 .009 .057 .087 .334 .564 .401 .156 .049 .004 .014 .018 .022 .172 .381 .306 .127 .042 .004 .019 646 -6.219 4646 4.438 9.79561 .024050 .378082 .018959 Correlation Surface at 746 4646 .060 .036 .018 .230 .632 .576 .204 .007 .005 .047 .000 .161 .325 .279 .176 .018 .005 .005 .052 .002 .154 .395 .280 .136 .000 .001 .019 .025 .025 .051 .523 .773 .283 .008 .011 .008 .033 .040 .020 .547 1.000 .300 .004 .058 .000 .113 .148 .000 .427 .689 .172 .052 .221 .057 .080 .289 .089 .307 .626 .211 .000 .105 .117 .006 .087 .104 .192 .612 .231 .018 .009 .012 .001 .003 .004 .101 .165 .048 .021 .005 .038 r_peak,r_snr = 9.88112E-02 9.94844 Correlation Surface of oversamples image at 746 4646 .001 .026 .104 .197 .308 .419 .449 .315 .094 .000 .035 .162 .342 .517 .615 .578 .374 .109 .002 .033 .209 .506 .755 .783 .606 .328 .074 .009 .019 .222 .629 .952 .891 .564 .233 .030 .045 .001 .176 .636 1.000 .891 .492 .162 .010 .141 .018 .083 .508 .881 .787 .419 .135 .011 .261 .092 .012 .325 .701 .664 .368 .143 .031 .299 .159 .002 .172 .517 .537 .312 .143 .059 .205 .129 .008 .089 .345 .378 .211 .096 .049 746 -.344 4646 7.875 9.94844 .026301 .135486 .003109 Correlation Surface at 846 4646 .015 .092 .349 .811 .960 .674 .278 .061 .001 .005 .066 .320 .734 .929 .669 .342 .102 .012 .002 .053 .306 .692 .938 .646 .330 .122 .028 .008 .068 .307 .716 1.000 .720 .387 .148 .035 .019 .077 .299 .720 1.000 .783 .505 .198 .027 .020 .070 .277 .664 .955 .791 .549 .237 .044 .007 .050 .252 .594 .828 .756 .572 .289 .097 .002 .032 .199 .490 .697 .773 .659 .319 .104 .004 .033 .157 .412 .665 .792 .626 .286 .085 r_peak,r_snr = .2975657 6.79115 Correlation Surface of oversamples image at 846 4646 .285 .485 .688 .859 .929 .843 .654 .461 .295 .285 .485 .688 .870 .955 .866 .653 .441 .278 .288 .491 .697 .886 .978 .887 .662 .438 .274 .294 .502 .716 .905 .995 .902 .678 .456 .292 .302 .516 .741 .926 1.000 .902 .691 .485 .327 .309 .523 .757 .933 .987 .887 .698 .516 .367 .312 .517 .747 .913 .951 .857 .694 .537 .398 .312 .497 .706 .856 .885 .807 .674 .537 .408 .309 .474 .650 .775 .804 .751 .652 .534 .411 846 .000 4646 3.219 6.79115 .022020 1.547742 -.112712 Correlation Surface at 946 4646 .205 .207 .218 .545 .902 .837 .497 .231 .134 .185 .197 .186 .403 .773 .714 .408 .271 .161 .097 .167 .191 .410 .772 .676 .360 .246 .154 .055 .175 .220 .475 .923 .762 .361 .151 .133 .095 .235 .270 .518 1.000 .833 .392 .102 .087 .123 .229 .237 .450 .854 .762 .379 .083 .050 .131 .213 .230 .427 .687 .572 .320 .072 .033 .164 .261 .324 .567 .689 .530 .337 .108 .026 .170 .283 .435 .724 .798 .668 .453 .175 .039 r_peak,r_snr = .23882 5.11744 Correlation Surface of oversamples image at 946 4646 .098 .122 .219 .410 .589 .618 .503 .346 .246 .107 .135 .251 .477 .664 .656 .506 .337 .223 .123 .162 .302 .566 .776 .749 .566 .369 .222 .154 .214 .381 .676 .908 .879 .674 .439 .249 .190 .274 .463 .764 1.000 .979 .766 .504 .281 .202 .302 .495 .768 .979 .967 .766 .503 .277 .172 .267 .442 .670 .840 .830 .653 .417 .222 .129 .204 .347 .528 .657 .644 .492 .299 .151 .107 .165 .282 .428 .521 .496 .362 .208 .103 946 .219 4646 1.188 5.11744 .013428 .106459 -.001718 Correlation Surface at 1046 4646 .024 .069 .329 .627 .205 .009 .040 .028 .021 .047 .118 .388 .845 .495 .092 .001 .003 .054 .026 .217 .579 .918 .521 .066 .019 .024 .080 .034 .118 .410 .935 .642 .058 .001 .006 .018 .265 .180 .298 .872 1.000 .175 .007 .026 .087 .526 .543 .652 .899 .975 .210 .013 .003 .006 .164 .343 .759 .710 .629 .127 .014 .021 .010 .001 .044 .380 .382 .306 .072 .066 .086 .079 .002 .023 .152 .178 .154 .056 .022 .105 .237 r_peak,r_snr = .1041552 10.96314 Correlation Surface of oversamples image at 1046 4646 .083 .069 .098 .172 .311 .499 .597 .455 .211 .196 .179 .208 .270 .388 .576 .725 .613 .317 .324 .361 .441 .521 .606 .737 .855 .743 .413 .361 .492 .692 .841 .876 .890 .911 .779 .460 .261 .436 .750 .996 1.000 .899 .828 .707 .453 .107 .244 .577 .884 .901 .754 .645 .556 .395 .016 .083 .339 .641 .687 .559 .461 .396 .300 .001 .014 .169 .414 .480 .389 .314 .264 .195 .005 .004 .112 .318 .395 .324 .250 .200 .136 1046 -1.750 4646 1.563 10.96314 .031037 .235465 -.027644 Correlation Surface at 1146 4646 .000 .013 .121 .395 .534 .370 .179 .086 .014 .011 .048 .147 .489 .780 .475 .205 .120 .024 .011 .070 .178 .516 .936 .510 .171 .090 .030 .001 .025 .138 .514 .976 .552 .150 .044 .013 .000 .002 .099 .527 1.000 .650 .172 .041 .005 .000 .000 .096 .549 .935 .617 .183 .081 .018 .009 .002 .130 .585 .827 .432 .119 .084 .033 .011 .004 .160 .558 .669 .283 .060 .039 .019 .008 .000 .146 .522 .547 .254 .060 .017 .008 r_peak,r_snr = .2309816 8.05314 Correlation Surface of oversamples image at 1146 4646 .157 .250 .419 .663 .846 .791 .556 .341 .212 .137 .240 .428 .689 .876 .818 .577 .351 .209 .117 .240 .459 .739 .922 .857 .610 .368 .208 .107 .250 .496 .789 .974 .910 .655 .388 .204 .107 .269 .521 .808 1.000 .954 .693 .400 .195 .114 .291 .537 .793 .981 .956 .699 .390 .181 .128 .319 .555 .771 .926 .904 .656 .355 .162 .148 .352 .584 .765 .866 .814 .575 .300 .137 .177 .389 .615 .765 .806 .706 .474 .239 .109 1146 .188 4646 -.875 8.05314 .009732 .707787 -.007508 Correlation Surface at 1246 4646 .098 .085 .139 .277 .338 .271 .162 .109 .066 .083 .084 .131 .289 .320 .238 .108 .080 .077 .034 .045 .146 .412 .498 .293 .082 .049 .058 .017 .025 .197 .618 .861 .441 .132 .082 .092 .037 .044 .251 .722 1.000 .497 .200 .137 .124 .075 .091 .230 .586 .789 .389 .179 .135 .125 .107 .118 .173 .382 .596 .329 .181 .131 .120 .148 .145 .154 .296 .540 .361 .252 .156 .103 .130 .132 .156 .296 .468 .370 .319 .203 .111 r_peak,r_snr = .2587282 8.6438 Correlation Surface of oversamples image at 1246 4646 .144 .196 .273 .356 .382 .346 .283 .204 .123 .117 .199 .332 .495 .586 .547 .430 .293 .169 .116 .230 .413 .650 .813 .777 .597 .393 .231 .140 .283 .503 .775 .973 .932 .700 .451 .279 .185 .335 .556 .815 1.000 .946 .690 .433 .278 .226 .342 .517 .733 .888 .834 .596 .365 .240 .232 .288 .391 .550 .684 .649 .464 .287 .198 .216 .224 .265 .372 .488 .479 .350 .230 .176 .208 .193 .197 .268 .371 .387 .301 .219 .189 1246 -.344 4646 -1.156 8.64380 .008189 .037361 .000550 Correlation Surface at 1346 4646 .002 .013 .100 .403 .734 .551 .246 .110 .054 .000 .005 .071 .361 .792 .601 .211 .078 .042 .000 .008 .080 .383 .852 .635 .200 .058 .031 .000 .011 .099 .447 .997 .774 .247 .069 .032 .000 .007 .087 .420 1.000 .905 .318 .084 .032 .001 .007 .093 .401 .872 .883 .376 .091 .037 .002 .009 .107 .407 .772 .750 .388 .092 .037 .002 .013 .123 .355 .574 .545 .333 .096 .039 .000 .013 .128 .308 .396 .393 .276 .113 .061 r_peak,r_snr = .3418586 9.82123 Correlation Surface of oversamples image at 1346 4646 .153 .365 .662 .875 .849 .612 .342 .172 .093 .163 .364 .653 .881 .877 .647 .368 .187 .102 .163 .358 .650 .906 .929 .705 .413 .215 .121 .146 .336 .635 .919 .978 .771 .469 .254 .148 .129 .311 .606 .907 1.000 .823 .526 .297 .175 .127 .302 .585 .877 .990 .851 .576 .338 .197 .142 .317 .586 .850 .958 .852 .609 .371 .211 .166 .346 .600 .829 .914 .822 .611 .386 .217 .182 .357 .591 .786 .841 .750 .569 .372 .211 1346 .406 4646 .938 9.82123 .005695 .116947 -.007974 Correlation Surface at 1446 4646 .036 .118 .298 .593 .784 .548 .278 .117 .044 .040 .121 .308 .661 .826 .568 .285 .118 .042 .054 .136 .316 .667 .896 .554 .264 .126 .043 .055 .112 .295 .656 .964 .575 .243 .123 .039 .063 .096 .263 .662 1.000 .610 .225 .092 .027 .085 .120 .263 .625 .915 .579 .212 .070 .022 .101 .144 .271 .537 .765 .542 .231 .095 .034 .111 .161 .268 .469 .655 .519 .271 .142 .055 .076 .154 .261 .449 .557 .483 .303 .160 .060 r_peak,r_snr = .4389003 8.5522 Correlation Surface of oversamples image at 1446 4646 .323 .517 .752 .933 .929 .735 .504 .342 .244 .305 .490 .723 .921 .941 .750 .502 .328 .230 .283 .464 .695 .907 .957 .784 .527 .333 .222 .265 .448 .684 .908 .980 .830 .569 .352 .219 .254 .442 .688 .919 1.000 .863 .606 .374 .220 .253 .441 .692 .922 .997 .864 .615 .383 .222 .260 .439 .684 .904 .969 .835 .596 .378 .225 .271 .432 .654 .858 .918 .792 .568 .366 .229 .276 .417 .611 .794 .852 .744 .542 .356 .232 1446 -.063 4646 1.156 8.55220 .002768 .062618 -.000956 Correlation Surface at 1546 4646 .008 .001 .007 .168 .453 .409 .226 .164 .084 .002 .000 .009 .160 .501 .546 .244 .127 .095 .003 .013 .027 .198 .531 .644 .372 .097 .036 .006 .045 .094 .368 .716 .669 .424 .096 .018 .023 .071 .120 .508 1.000 .716 .334 .081 .035 .048 .107 .125 .427 .856 .617 .217 .054 .053 .012 .098 .156 .316 .498 .336 .092 .037 .049 .002 .046 .160 .307 .401 .198 .049 .022 .030 .004 .030 .179 .349 .500 .236 .088 .041 .016 r_peak,r_snr = .2198903 12.07271 Correlation Surface of oversamples image at 1546 4646 .075 .115 .175 .295 .459 .606 .702 .680 .470 .129 .204 .307 .448 .578 .656 .690 .635 .419 .160 .263 .437 .644 .769 .766 .696 .570 .342 .165 .261 .482 .778 .951 .897 .722 .515 .276 .168 .225 .433 .768 1.000 .960 .738 .481 .241 .174 .191 .342 .629 .868 .877 .690 .443 .223 .179 .168 .260 .458 .648 .690 .569 .374 .198 .176 .155 .209 .339 .469 .504 .420 .278 .155 .156 .144 .187 .288 .373 .373 .292 .187 .108 1546 .156 4646 -.594 12.07271 .011948 .037351 .002376 Correlation Surface at 1646 4646 .267 .491 .708 .835 .926 .831 .587 .370 .307 .269 .425 .628 .775 .934 .885 .657 .460 .364 .268 .396 .569 .752 .952 .904 .688 .536 .454 .265 .406 .570 .789 .991 .899 .658 .511 .454 .263 .424 .584 .794 1.000 .923 .630 .451 .373 .238 .419 .584 .705 .915 .953 .670 .438 .328 .234 .395 .575 .660 .836 .958 .735 .463 .338 .254 .382 .561 .692 .827 .893 .752 .504 .375 .249 .382 .576 .730 .839 .832 .729 .559 .424 r_peak,r_snr = .5285498 2.6782 Correlation Surface of oversamples image at 1646 4646 .674 .766 .866 .954 .977 .903 .781 .667 .576 .679 .782 .884 .964 .979 .898 .771 .656 .570 .677 .790 .895 .975 .986 .902 .768 .649 .563 .662 .775 .888 .976 .996 .918 .781 .652 .559 .642 .744 .860 .963 1.000 .938 .806 .667 .560 .630 .712 .824 .936 .993 .952 .831 .684 .560 .628 .693 .790 .903 .974 .956 .848 .698 .559 .630 .686 .769 .872 .947 .947 .856 .709 .566 .626 .684 .757 .845 .914 .922 .849 .719 .580 1646 .406 4646 3.313 2.67820 .008823 .057429 -.009348 Correlation Surface at 1746 4646 .105 .254 .155 .003 .004 .013 .024 .000 .002 .000 .026 .039 .003 .009 .023 .161 .148 .044 .003 .009 .009 .089 .053 .019 .003 .049 .048 .025 .013 .082 .448 .558 .274 .059 .003 .137 .002 .112 .400 .891 1.000 .344 .055 .017 .026 .053 .031 .457 .652 .554 .106 .006 .039 .054 .078 .062 .148 .278 .146 .003 .006 .005 .034 .017 .064 .060 .269 .154 .003 .009 .000 .001 .002 .000 .113 .204 .210 .037 .000 .002 .000 r_peak,r_snr = 9.50933E-02 10.43945 Correlation Surface of oversamples image at 1746 4646 .018 .001 .006 .025 .011 .006 .065 .073 .032 .032 .000 .035 .124 .148 .067 .005 .002 .003 .012 .012 .122 .323 .450 .369 .176 .040 .003 .002 .090 .290 .578 .802 .758 .471 .156 .015 .038 .236 .486 .759 1.000 .982 .645 .226 .021 .053 .309 .568 .757 .926 .897 .568 .177 .010 .006 .199 .449 .579 .650 .590 .329 .067 .001 .044 .041 .244 .369 .378 .300 .131 .006 .028 .231 .003 .107 .253 .246 .164 .053 .001 .066 1746 4.719 4646 -8.875 10.43945 .064976 .056184 .018636 Correlation Surface at 1846 4646 .078 .014 .003 .141 .446 .350 .054 .021 .056 .107 .017 .006 .218 .582 .382 .048 .015 .064 .088 .005 .032 .305 .733 .384 .020 .019 .060 .036 .001 .085 .506 .887 .408 .004 .051 .075 .015 .003 .055 .622 1.000 .330 .000 .079 .105 .014 .009 .024 .481 .871 .161 .010 .048 .070 .014 .001 .078 .405 .629 .108 .011 .013 .007 .028 .004 .107 .378 .388 .080 .000 .001 .000 .044 .024 .031 .250 .232 .036 .000 .001 .005 r_peak,r_snr = .2156371 17.13531 Correlation Surface of oversamples image at 1846 4646 .005 .058 .160 .318 .510 .628 .566 .343 .123 .012 .093 .236 .428 .616 .697 .591 .334 .103 .013 .110 .306 .567 .778 .816 .641 .344 .096 .005 .094 .329 .673 .938 .934 .673 .335 .088 .000 .056 .285 .679 1.000 .970 .634 .276 .062 .003 .028 .217 .597 .937 .902 .534 .188 .029 .003 .024 .177 .497 .806 .782 .427 .115 .007 .000 .047 .191 .444 .686 .665 .357 .081 .001 .014 .100 .254 .452 .615 .577 .319 .075 .001 1846 -.281 4646 -1.000 17.13531 .008019 .126568 .012676 Correlation Surface at 1946 4646 .011 .003 .012 .202 .603 .249 .076 .041 .013 .001 .008 .023 .240 .726 .446 .131 .031 .006 .002 .004 .052 .368 .748 .486 .162 .047 .009 .000 .028 .139 .624 .902 .437 .085 .017 .010 .008 .081 .220 .725 1.000 .437 .056 .000 .000 .002 .046 .105 .514 .898 .538 .105 .000 .021 .004 .003 .016 .261 .657 .474 .100 .002 .026 .019 .001 .004 .110 .355 .273 .069 .003 .002 .032 .007 .003 .075 .268 .324 .127 .007 .000 r_peak,r_snr = .1775572 12.78574 Correlation Surface of oversamples image at 1946 4646 .021 .030 .086 .253 .485 .589 .453 .219 .074 .028 .050 .143 .366 .615 .663 .468 .209 .060 .050 .088 .230 .532 .820 .812 .525 .215 .052 .084 .132 .306 .661 .989 .951 .598 .241 .055 .110 .162 .331 .672 1.000 .991 .659 .293 .081 .106 .154 .295 .574 .862 .913 .685 .367 .137 .068 .106 .214 .429 .669 .762 .646 .415 .195 .024 .048 .123 .291 .496 .595 .539 .384 .203 .002 .011 .056 .184 .365 .456 .406 .285 .151 1946 -.281 4646 -.188 12.78574 .017875 .285462 -.025444 Correlation Surface at 2046 4646 .099 .055 .026 .058 .147 .266 .344 .327 .284 .142 .093 .044 .095 .251 .661 .570 .147 .096 .047 .112 .082 .290 .587 .756 .444 .401 .196 .037 .068 .016 .367 .978 .908 .289 .596 .757 .116 .066 .011 .276 1.000 .925 .469 .381 .896 .074 .106 .123 .316 .709 .432 .449 .438 .695 .001 .008 .096 .338 .557 .369 .324 .505 .589 .009 .006 .019 .089 .255 .600 .623 .641 .428 .018 .015 .093 .032 .032 .323 .744 .803 .494 r_peak,r_snr = 9.06989E-02 6.48678 Correlation Surface of oversamples image at 2046 4646 .080 .221 .435 .543 .585 .652 .691 .590 .389 .165 .373 .607 .695 .698 .660 .573 .491 .454 .184 .469 .745 .831 .823 .722 .518 .377 .401 .132 .481 .823 .943 .955 .856 .593 .355 .314 .066 .420 .821 .967 1.000 .970 .755 .455 .297 .030 .321 .718 .850 .855 .878 .810 .587 .361 .028 .234 .541 .622 .569 .562 .590 .554 .421 .042 .177 .359 .381 .297 .242 .256 .321 .359 .049 .140 .235 .227 .152 .087 .070 .112 .210 2046 -2.344 4646 6.438 6.48678 .068382 .508603 .080694 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .141 .289 .436 .643 .871 .781 .569 .465 .308 .138 .270 .431 .712 .937 .747 .494 .421 .299 .152 .283 .477 .819 .989 .740 .440 .359 .296 .185 .303 .486 .824 .972 .767 .466 .332 .261 .207 .328 .491 .797 1.000 .818 .498 .329 .212 .194 .358 .581 .828 .997 .808 .446 .281 .180 .155 .349 .641 .867 .907 .734 .383 .214 .149 .147 .337 .609 .819 .859 .718 .403 .197 .124 .160 .362 .647 .851 .919 .772 .465 .227 .129 r_peak,r_snr = .4167827 4.40173 Correlation Surface of oversamples image at 146 5046 .413 .572 .750 .892 .954 .907 .761 .588 .466 .420 .582 .767 .909 .967 .918 .773 .594 .454 .430 .587 .774 .919 .977 .929 .790 .613 .464 .446 .590 .775 .928 .992 .945 .807 .632 .479 .465 .594 .767 .925 1.000 .955 .813 .634 .479 .492 .607 .759 .908 .989 .949 .801 .612 .454 .526 .634 .762 .886 .957 .920 .772 .576 .413 .561 .668 .774 .863 .909 .872 .737 .545 .380 .586 .696 .787 .843 .859 .823 .709 .534 .370 146 .063 5046 2.031 4.40173 .009975 1.077455 -.029034 Correlation Surface at 246 5046 .301 .251 .322 .393 .179 .008 .027 .092 .144 .327 .406 .459 .560 .198 .000 .001 .023 .106 .505 .542 .408 .520 .356 .031 .037 .043 .057 .559 .477 .295 .491 .762 .220 .148 .163 .041 .416 .299 .206 .509 1.000 .404 .109 .195 .098 .370 .306 .217 .462 .642 .282 .064 .140 .235 .285 .270 .208 .395 .426 .148 .094 .174 .183 .177 .157 .094 .173 .345 .167 .128 .182 .072 .113 .148 .061 .061 .241 .276 .204 .125 .036 r_peak,r_snr = .1549496 5.2047 Correlation Surface of oversamples image at 246 5046 .284 .301 .332 .280 .148 .043 .007 .005 .010 .257 .284 .365 .393 .291 .142 .054 .037 .047 .249 .289 .420 .554 .526 .342 .175 .113 .115 .249 .314 .496 .736 .808 .617 .356 .212 .181 .242 .333 .547 .844 1.000 .837 .513 .282 .203 .220 .324 .529 .793 .958 .848 .547 .291 .182 .200 .292 .446 .607 .707 .644 .443 .249 .150 .177 .239 .330 .384 .396 .356 .265 .171 .117 .149 .185 .236 .231 .188 .149 .121 .103 .095 246 .031 5046 .688 5.20470 .012753 .042650 -.001913 Correlation Surface at 346 5046 .056 .001 .019 .355 .998 .551 .034 .020 .022 .123 .008 .025 .285 .685 .338 .007 .048 .040 .114 .013 .055 .330 .515 .164 .004 .061 .065 .060 .000 .110 .552 .762 .169 .009 .037 .034 .033 .007 .168 .671 1.000 .208 .013 .029 .003 .007 .012 .183 .563 .811 .191 .010 .023 .002 .005 .010 .140 .370 .425 .109 .003 .024 .000 .016 .003 .093 .235 .198 .029 .005 .023 .004 .001 .008 .062 .149 .152 .019 .019 .015 .001 r_peak,r_snr = .1983822 11.77497 Correlation Surface of oversamples image at 346 5046 .003 .335 1.495 3.115 4.000 3.484 2.169 .937 .251 .000 .248 1.263 2.734 3.466 2.884 1.728 .725 .165 .000 .209 1.040 2.220 2.727 2.099 1.116 .394 .055 .005 .241 .967 1.880 2.177 1.533 .675 .161 .004 .024 .345 1.105 1.913 2.052 1.348 .501 .069 .002 346 .031 5046 3.188 11.77497 .006519 .047480 -.000379 Correlation Surface at 446 5046 .009 .032 .149 .069 .009 .001 .018 .239 .311 .012 .040 .004 .023 .000 .050 .055 .283 .604 .007 .135 .152 .041 .184 .420 .293 .165 .309 .009 .065 .252 .296 .764 .912 .300 .033 .006 .005 .015 .048 .396 1.000 .853 .085 .000 .023 .004 .044 .002 .119 .648 .682 .099 .016 .000 .015 .047 .011 .001 .114 .272 .167 .203 .105 .052 .038 .095 .025 .005 .004 .008 .060 .060 .030 .041 .169 .212 .093 .001 .033 .005 .002 r_peak,r_snr = 8.42364E-02 11.68592 Correlation Surface of oversamples image at 446 5046 .117 .043 .023 .067 .221 .410 .471 .317 .140 .233 .176 .150 .250 .480 .666 .670 .441 .168 .196 .251 .320 .518 .775 .808 .600 .299 .081 .082 .215 .427 .748 .970 .778 .370 .088 .003 .012 .133 .436 .843 1.000 .644 .180 .003 .023 .001 .071 .394 .823 .899 .496 .093 .003 .043 .013 .033 .311 .675 .671 .340 .064 .001 .008 .015 .014 .192 .411 .364 .170 .042 .004 .006 .001 .015 .104 .187 .136 .054 .021 .010 .030 446 -6.563 5046 -9.094 11.68592 .084736 .157438 -.010193 Correlation Surface at 546 5046 .002 .041 .248 .509 .531 .324 .163 .057 .033 .000 .023 .195 .516 .572 .314 .161 .061 .049 .013 .003 .152 .513 .647 .463 .314 .131 .058 .046 .004 .072 .491 .813 .684 .499 .243 .090 .034 .002 .041 .447 1.000 .903 .568 .321 .172 .034 .002 .035 .344 .850 .911 .553 .327 .191 .060 .018 .019 .313 .649 .681 .482 .345 .241 .059 .028 .016 .342 .660 .570 .433 .334 .284 .061 .030 .013 .265 .548 .529 .390 .250 .181 r_peak,r_snr = .2460234 7.40866 Correlation Surface of oversamples image at 546 5046 .329 .516 .606 .570 .497 .476 .477 .437 .347 .260 .479 .637 .647 .571 .535 .548 .528 .438 .215 .463 .701 .791 .723 .638 .612 .594 .516 .193 .452 .749 .933 .900 .758 .659 .622 .566 .177 .418 .724 .971 1.000 .840 .683 .623 .590 .153 .359 .629 .877 .957 .837 .679 .609 .593 .122 .306 .542 .758 .851 .783 .658 .590 .581 .106 .294 .527 .726 .811 .766 .664 .592 .574 .105 .316 .571 .779 .861 .815 .711 .615 .566 546 .313 5046 7.531 7.40866 .014023 .051339 -.010972 Correlation Surface at 646 5046 .004 .064 .208 .326 .488 .356 .127 .018 .044 .018 .084 .292 .410 .563 .370 .100 .003 .061 .034 .048 .292 .565 .784 .459 .077 .007 .095 .034 .034 .287 .716 .881 .437 .080 .008 .064 .047 .034 .367 .884 1.000 .452 .111 .000 .036 .058 .013 .314 .758 .893 .501 .143 .001 .064 .032 .024 .264 .609 .684 .500 .198 .004 .103 .039 .043 .317 .684 .745 .556 .233 .006 .106 .087 .016 .316 .794 .880 .615 .177 .002 .088 r_peak,r_snr = .2299441 4.8539 Correlation Surface of oversamples image at 646 5046 .276 .450 .621 .772 .824 .732 .534 .311 .129 .255 .447 .639 .786 .811 .690 .488 .291 .133 .267 .486 .705 .859 .863 .711 .486 .288 .142 .301 .545 .783 .949 .954 .789 .532 .304 .147 .323 .573 .804 .973 1.000 .856 .592 .332 .153 .316 .545 .747 .898 .942 .843 .620 .363 .167 .295 .490 .658 .780 .822 .764 .608 .392 .194 .284 .448 .595 .698 .731 .694 .587 .418 .230 .285 .436 .580 .684 .717 .685 .588 .436 .255 646 -.188 5046 .438 4.85390 .013394 .116047 -.002053 Correlation Surface at 746 5046 .172 .198 .175 .188 .339 .467 .310 .157 .110 .179 .155 .146 .255 .465 .528 .352 .152 .091 .225 .167 .160 .410 .728 .555 .343 .201 .144 .233 .183 .197 .548 .982 .561 .299 .222 .165 .178 .181 .236 .556 1.000 .628 .326 .233 .170 .142 .163 .234 .453 .750 .680 .402 .285 .217 .127 .118 .148 .284 .423 .550 .375 .225 .210 .142 .117 .095 .159 .246 .364 .285 .140 .149 .175 .171 .128 .158 .232 .281 .234 .146 .125 r_peak,r_snr = .2798351 5.88826 Correlation Surface of oversamples image at 746 5046 .060 .105 .217 .378 .508 .553 .514 .423 .300 .065 .124 .284 .509 .648 .632 .524 .411 .305 .085 .166 .377 .665 .804 .709 .530 .397 .313 .116 .223 .476 .807 .936 .778 .542 .392 .317 .151 .276 .543 .874 1.000 .826 .570 .403 .324 .182 .307 .546 .833 .964 .843 .614 .437 .341 .196 .297 .479 .697 .837 .811 .652 .480 .365 .180 .252 .371 .521 .658 .718 .646 .497 .371 .137 .186 .262 .358 .473 .576 .576 .464 .340 746 -.063 5046 .563 5.88826 .006960 .050109 -.004840 Correlation Surface at 846 5046 .041 .137 .312 .530 .505 .276 .101 .007 .008 .051 .124 .323 .638 .586 .350 .168 .040 .002 .100 .181 .415 .868 .784 .473 .224 .061 .006 .096 .239 .438 .849 .949 .653 .335 .095 .027 .109 .272 .417 .728 1.000 .739 .400 .113 .013 .115 .193 .291 .576 .929 .713 .352 .093 .004 .063 .113 .244 .494 .779 .601 .286 .118 .019 .064 .182 .373 .648 .844 .573 .228 .124 .030 .106 .322 .540 .774 .922 .616 .222 .097 .024 r_peak,r_snr = .2201634 6.32423 Correlation Surface of oversamples image at 846 5046 .152 .245 .361 .458 .478 .435 .359 .275 .210 .235 .366 .508 .596 .571 .492 .404 .315 .243 .343 .518 .699 .799 .742 .620 .510 .408 .314 .425 .610 .817 .957 .915 .777 .659 .552 .428 .473 .626 .804 .974 1.000 .900 .801 .700 .553 .487 .598 .709 .863 .963 .938 .869 .776 .622 .472 .556 .614 .734 .872 .912 .861 .765 .619 .425 .493 .531 .632 .789 .872 .826 .720 .579 .350 .404 .446 .544 .717 .840 .811 .698 .554 846 -.750 5046 -1.656 6.32423 .048475 .594692 -.120434 Correlation Surface at 946 5046 .021 .140 .336 .544 .686 .509 .228 .041 .014 .014 .110 .356 .592 .686 .525 .275 .070 .002 .015 .097 .337 .648 .770 .617 .364 .118 .000 .012 .108 .313 .643 .899 .683 .381 .117 .000 .003 .095 .299 .609 1.000 .790 .423 .131 .001 .001 .060 .271 .592 .971 .902 .524 .185 .009 .000 .033 .197 .562 .874 .892 .600 .232 .022 .006 .017 .133 .457 .785 .837 .602 .218 .019 .027 .007 .124 .402 .761 .887 .628 .213 .016 r_peak,r_snr = .3720023 4.46458 Correlation Surface of oversamples image at 946 5046 .313 .480 .625 .737 .788 .749 .624 .454 .287 .283 .460 .632 .774 .843 .804 .670 .488 .310 .261 .440 .636 .815 .910 .867 .710 .509 .321 .248 .420 .632 .846 .969 .926 .747 .523 .323 .242 .398 .609 .846 1.000 .972 .786 .544 .327 .237 .377 .572 .810 .989 .992 .824 .580 .349 .228 .364 .542 .763 .946 .979 .849 .628 .393 .212 .354 .526 .722 .886 .936 .849 .668 .446 .187 .336 .515 .692 .826 .877 .826 .689 .492 946 -.781 5046 -10.188 4.46458 .007626 .106229 -.014550 Correlation Surface at 1046 5046 .044 .006 .094 .401 .748 .487 .221 .013 .005 .020 .010 .006 .275 .897 .679 .252 .001 .087 .022 .023 .036 .279 .669 .362 .053 .006 .056 .096 .273 .343 .687 .893 .284 .000 .053 .017 .047 .177 .277 .726 1.000 .328 .001 .072 .000 .000 .003 .090 .483 .753 .285 .000 .057 .002 .001 .000 .092 .620 .729 .361 .003 .147 .020 .016 .002 .043 .540 .499 .141 .002 .183 .039 .005 .005 .002 .193 .172 .000 .029 .091 .001 r_peak,r_snr = 8.92841E-02 8.03432 Correlation Surface of oversamples image at 1046 5046 .117 .219 .355 .488 .515 .452 .364 .237 .073 .087 .185 .317 .454 .488 .408 .293 .184 .071 .068 .174 .337 .528 .612 .517 .326 .163 .053 .055 .171 .382 .668 .835 .717 .406 .139 .016 .039 .149 .393 .765 1.000 .823 .401 .080 .002 .016 .086 .311 .718 .960 .690 .242 .010 .071 .001 .025 .184 .568 .796 .476 .085 .011 .189 1046 -.469 5046 5.688 8.03432 .049174 .397747 -.030436 Correlation Surface at 1146 5046 .126 .001 .046 .110 .080 .032 .001 .004 .027 .018 .066 .003 .253 .148 .001 .053 .087 .009 .044 .029 .001 .456 .494 .048 .026 .230 .009 .088 .001 .001 .538 .925 .406 .014 .096 .032 .026 .000 .039 .651 1.000 .575 .101 .009 .052 .005 .003 .056 .683 .722 .247 .105 .009 .000 .013 .016 .084 .557 .555 .096 .005 .000 .002 .002 .006 .167 .545 .486 .162 .004 .062 .101 .000 .015 .133 .659 .394 .154 .119 .014 .189 r_peak,r_snr = 8.96337E-02 9.1716 Correlation Surface of oversamples image at 1146 5046 .000 .129 .331 .333 .210 .089 .017 .000 .034 .000 .104 .374 .504 .392 .191 .048 .002 .017 .000 .077 .369 .647 .631 .386 .147 .030 .000 .000 .056 .341 .734 .872 .665 .348 .124 .018 .000 .046 .310 .744 1.000 .888 .569 .269 .076 .000 .050 .292 .686 .933 .869 .622 .356 .137 .007 .078 .302 .606 .744 .637 .461 .312 .155 .030 .128 .326 .527 .542 .375 .236 .180 .114 .051 .164 .335 .461 .406 .215 .092 .063 .046 1146 .094 5046 -1.406 9.17160 .091381 .419128 .077801 Correlation Surface at 1246 5046 .089 .327 .628 .705 .596 .402 .264 .124 .029 .103 .310 .658 .756 .666 .442 .204 .090 .025 .129 .302 .591 .700 .646 .477 .191 .078 .028 .107 .276 .511 .789 .788 .535 .237 .103 .027 .089 .232 .449 .866 1.000 .561 .254 .127 .029 .115 .251 .449 .768 .935 .500 .215 .102 .025 .150 .317 .525 .670 .641 .386 .183 .088 .024 .179 .374 .581 .662 .465 .287 .171 .097 .036 .228 .436 .652 .784 .515 .260 .163 .103 .040 r_peak,r_snr = .2827641 5.90858 Correlation Surface of oversamples image at 1246 5046 .458 .586 .682 .727 .731 .707 .635 .501 .341 .426 .554 .673 .755 .780 .746 .656 .513 .354 .384 .520 .674 .810 .872 .831 .705 .532 .366 .337 .473 .656 .849 .964 .930 .769 .553 .371 .300 .424 .610 .837 1.000 .990 .813 .568 .370 .288 .393 .556 .769 .947 .968 .804 .559 .360 .307 .394 .519 .679 .823 .860 .737 .527 .347 .342 .422 .514 .612 .696 .723 .646 .490 .340 .374 .458 .535 .585 .607 .607 .563 .461 .342 1246 .750 5046 -2.938 5.90857 .011496 .045637 .000588 Correlation Surface at 1346 5046 .164 .202 .344 .667 .841 .652 .351 .154 .042 .158 .202 .316 .648 .867 .671 .395 .181 .055 .122 .213 .371 .732 .868 .571 .306 .139 .042 .076 .188 .394 .799 .909 .545 .283 .134 .045 .039 .170 .430 .847 1.000 .636 .353 .193 .076 .030 .148 .499 .935 .968 .623 .355 .218 .093 .027 .101 .403 .876 .884 .582 .305 .167 .082 .021 .087 .260 .684 .868 .647 .349 .132 .059 .040 .119 .260 .628 .885 .709 .467 .194 .057 r_peak,r_snr = .3221745 5.75365 Correlation Surface of oversamples image at 1346 5046 .338 .484 .668 .808 .826 .722 .572 .436 .321 .378 .545 .733 .852 .835 .701 .536 .398 .287 .403 .587 .788 .910 .882 .725 .541 .396 .290 .416 .608 .824 .967 .950 .787 .585 .429 .324 .427 .622 .844 1.000 1.000 .846 .638 .470 .364 .438 .638 .852 .995 .996 .861 .666 .493 .381 .437 .650 .853 .962 .943 .827 .662 .493 .371 .412 .640 .837 .914 .874 .778 .647 .487 .348 .358 .590 .794 .866 .824 .748 .647 .495 .335 1346 -.250 5046 .156 5.75365 .010499 .155501 .003649 Correlation Surface at 1446 5046 .003 .004 .024 .341 .714 .411 .081 .005 .001 .012 .013 .040 .383 .904 .546 .104 .003 .000 .018 .029 .079 .423 .956 .567 .113 .002 .001 .004 .035 .121 .509 .945 .569 .105 .002 .001 .000 .040 .134 .572 1.000 .653 .135 .006 .000 .000 .050 .127 .516 .949 .649 .157 .012 .001 .000 .053 .114 .395 .742 .521 .096 .002 .000 .001 .059 .129 .392 .676 .451 .037 .021 .012 .020 .086 .136 .419 .746 .423 .013 .066 .043 r_peak,r_snr = .2645688 11.27348 Correlation Surface of oversamples image at 1446 5046 .078 .184 .407 .707 .897 .794 .474 .194 .048 .089 .216 .462 .748 .892 .769 .462 .194 .050 .105 .253 .524 .807 .920 .776 .474 .207 .057 .121 .281 .570 .863 .966 .810 .508 .236 .072 .127 .282 .575 .886 1.000 .843 .540 .264 .090 .117 .254 .528 .840 .972 .829 .533 .265 .096 .099 .214 .449 .733 .871 .753 .479 .232 .081 .090 .185 .378 .614 .738 .642 .400 .178 .049 .095 .183 .348 .537 .631 .543 .325 .124 .018 1446 -.031 5046 -.469 11.27348 .008374 .354604 -.010455 Correlation Surface at 1546 5046 .019 .035 .259 .434 .523 .320 .165 .023 .003 .031 .022 .259 .446 .573 .321 .106 .001 .007 .049 .011 .210 .425 .626 .361 .066 .001 .019 .047 .017 .289 .591 .781 .430 .085 .000 .016 .024 .030 .383 .848 1.000 .486 .123 .000 .025 .010 .041 .340 .784 .936 .450 .122 .000 .035 .009 .031 .308 .660 .829 .410 .099 .003 .016 .001 .020 .271 .600 .688 .372 .070 .002 .009 .000 .032 .259 .557 .471 .261 .072 .003 .008 r_peak,r_snr = .2627967 10.02105 Correlation Surface of oversamples image at 1546 5046 .141 .288 .435 .578 .693 .709 .572 .352 .189 .146 .300 .448 .589 .695 .700 .564 .348 .180 .161 .349 .524 .677 .778 .755 .596 .373 .196 .171 .395 .616 .801 .908 .860 .665 .422 .232 .170 .404 .655 .874 1.000 .952 .738 .476 .272 .166 .379 .619 .842 .983 .957 .762 .502 .293 .165 .346 .549 .744 .879 .877 .718 .484 .284 .156 .319 .488 .648 .766 .775 .646 .441 .256 .130 .291 .450 .586 .686 .702 .591 .401 .224 1546 -.344 5046 .188 10.02105 .010542 .054027 .004685 Correlation Surface at 1646 5046 .017 .003 .010 .018 .148 .163 .013 .000 .021 .000 .090 .133 .049 .504 .313 .001 .012 .023 .002 .146 .202 .062 .818 .535 .018 .091 .013 .023 .149 .087 .151 .904 .396 .077 .211 .011 .073 .187 .058 .235 1.000 .278 .055 .201 .107 .023 .174 .134 .065 .885 .501 .055 .017 .081 .012 .057 .076 .004 .612 .758 .426 .049 .003 .026 .009 .017 .005 .403 .816 .544 .083 .000 .002 .020 .044 .001 .241 .606 .521 .056 .001 r_peak,r_snr = .115516 11.79551 Correlation Surface of oversamples image at 1646 5046 .036 .000 .084 .326 .537 .504 .280 .060 .001 .082 .004 .073 .373 .685 .691 .391 .072 .011 .102 .007 .077 .428 .827 .878 .504 .083 .022 .086 .003 .104 .511 .945 .979 .534 .070 .039 .064 .000 .140 .587 1.000 .947 .455 .035 .071 .060 .000 .151 .591 .939 .804 .326 .010 .099 .077 .001 .117 .503 .788 .635 .237 .005 .077 .112 .014 .058 .366 .628 .529 .226 .023 .016 .137 .042 .017 .251 .528 .522 .302 .102 .011 1646 .219 5046 .844 11.79551 .013489 .677658 -.040300 Correlation Surface at 1746 5046 .077 .133 .152 .271 .422 .430 .189 .057 .015 .012 .076 .173 .342 .491 .427 .180 .045 .006 .000 .033 .195 .405 .602 .543 .263 .065 .003 .005 .006 .142 .540 .815 .670 .387 .122 .019 .015 .001 .105 .562 1.000 .686 .354 .142 .036 .004 .008 .132 .495 .929 .636 .269 .148 .053 .001 .021 .162 .498 .844 .611 .262 .156 .075 .000 .028 .148 .399 .645 .532 .261 .131 .060 .009 .041 .112 .205 .355 .384 .242 .108 .041 r_peak,r_snr = .2468195 9.33828 Correlation Surface of oversamples image at 1746 5046 .268 .405 .515 .579 .612 .611 .563 .450 .291 .254 .448 .620 .709 .724 .689 .615 .495 .338 .211 .440 .693 .848 .863 .781 .659 .522 .374 .161 .386 .691 .926 .980 .871 .696 .532 .389 .121 .315 .615 .891 1.000 .910 .716 .527 .381 .094 .250 .505 .763 .903 .867 .702 .510 .360 .072 .198 .401 .614 .757 .774 .656 .481 .336 .053 .159 .328 .507 .642 .688 .608 .453 .317 .043 .135 .289 .453 .580 .634 .573 .433 .304 1746 -.031 5046 -.188 9.33828 .009923 .074911 -.000566 Correlation Surface at 1846 5046 .065 .005 .028 .312 .515 .147 .005 .002 .008 .042 .008 .031 .364 .747 .306 .031 .001 .023 .036 .012 .025 .367 .813 .456 .076 .002 .011 .050 .006 .025 .396 .832 .489 .106 .010 .001 .030 .000 .075 .558 1.000 .502 .101 .007 .000 .005 .012 .148 .586 .957 .479 .074 .009 .004 .000 .016 .145 .493 .764 .421 .047 .005 .002 .009 .011 .112 .493 .767 .439 .071 .001 .009 .033 .006 .065 .476 .831 .443 .150 .006 .025 r_peak,r_snr = .1923514 11.92815 Correlation Surface of oversamples image at 1846 5046 .205 .412 .658 .853 .844 .589 .276 .093 .033 .181 .384 .641 .851 .866 .634 .306 .097 .028 .152 .355 .638 .886 .931 .716 .372 .127 .034 .124 .318 .618 .902 .978 .779 .435 .167 .049 .108 .292 .595 .901 1.000 .816 .481 .214 .078 1846 -.063 5046 3.781 11.92815 .012240 .207411 .016152 Correlation Surface at 1946 5046 .000 .010 .058 .254 .457 .554 .380 .104 .000 .007 .006 .055 .282 .528 .477 .305 .162 .011 .011 .009 .119 .443 .737 .500 .204 .122 .022 .004 .004 .126 .546 .872 .644 .201 .057 .004 .002 .001 .076 .514 1.000 .878 .317 .058 .000 .002 .002 .062 .416 .973 .930 .411 .067 .000 .006 .004 .065 .339 .774 .715 .341 .062 .001 .018 .000 .079 .379 .739 .643 .277 .064 .000 .007 .000 .080 .387 .767 .751 .309 .082 .000 r_peak,r_snr = .2580779 8.13942 Correlation Surface of oversamples image at 1946 5046 .247 .414 .576 .675 .652 .505 .334 .219 .155 .256 .454 .645 .759 .741 .578 .368 .216 .130 .237 .469 .705 .848 .845 .682 .439 .242 .127 .207 .461 .746 .927 .943 .789 .528 .287 .140 .179 .432 .748 .965 1.000 .864 .605 .336 .158 .156 .382 .693 .927 .983 .870 .632 .362 .167 .138 .326 .600 .826 .894 .804 .596 .350 .161 .130 .291 .524 .724 .791 .710 .527 .313 .145 .133 .285 .492 .668 .725 .641 .468 .277 .130 1946 .375 5046 -.344 8.13941 .023742 .243512 -.052908 Correlation Surface at 2046 5046 .000 .002 .073 .422 .516 .201 .038 .024 .103 .004 .005 .040 .384 .557 .378 .239 .111 .159 .002 .026 .019 .230 .589 .529 .394 .161 .145 .001 .059 .044 .270 .818 .491 .215 .138 .095 .008 .036 .016 .280 1.000 .456 .104 .110 .094 .010 .026 .002 .199 .782 .412 .122 .109 .127 .006 .056 .095 .390 .709 .348 .173 .156 .145 .020 .088 .250 .684 .778 .350 .188 .205 .167 .009 .091 .146 .441 .694 .393 .200 .204 .187 r_peak,r_snr = .1560024 10.38386 Correlation Surface of oversamples image at 2046 5046 .078 .051 .095 .295 .631 .770 .517 .205 .062 .170 .189 .281 .497 .744 .773 .501 .212 .087 .277 .382 .541 .759 .898 .803 .498 .224 .108 .325 .472 .678 .902 .986 .822 .506 .242 .124 .329 .443 .635 .874 1.000 .868 .567 .307 .168 2046 -.375 5046 3.750 10.38386 .008957 .092774 -.000539 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .065 .235 .494 .722 .808 .599 .298 .108 .034 .052 .195 .442 .683 .817 .631 .303 .111 .035 .046 .193 .449 .710 .891 .673 .313 .118 .045 .056 .203 .464 .753 .967 .721 .328 .134 .056 .061 .193 .434 .779 1.000 .763 .327 .135 .062 .054 .171 .389 .771 .986 .767 .326 .117 .062 .047 .162 .356 .726 .943 .743 .368 .132 .066 .038 .160 .369 .702 .896 .738 .421 .185 .093 .037 .154 .400 .701 .848 .746 .444 .209 .105 r_peak,r_snr = .4596376 6.09459 Correlation Surface of oversamples image at 146 5446 .419 .558 .695 .808 .854 .802 .660 .481 .320 .442 .583 .726 .855 .907 .840 .676 .481 .316 .474 .614 .760 .896 .956 .881 .697 .487 .318 .497 .640 .785 .922 .988 .917 .723 .500 .326 .500 .649 .797 .931 1.000 .939 .749 .518 .334 .485 .641 .797 .932 .998 .947 .770 .537 .340 .458 .621 .787 .924 .986 .941 .779 .551 .345 .429 .592 .765 .907 .965 .920 .773 .558 .351 .407 .566 .744 .892 .950 .902 .763 .566 .368 146 .063 5446 -.219 6.09459 .005309 .327905 -.006047 Correlation Surface at 246 5446 .009 .172 .151 .052 .002 .032 .008 .014 .120 .033 .310 .382 .197 .012 .032 .005 .063 .269 .001 .094 .132 .008 .090 .061 .009 .034 .152 .001 .003 .044 .436 .797 .470 .049 .002 .004 .033 .002 .217 .924 1.000 .423 .006 .016 .010 .022 .005 .078 .408 .341 .077 .037 .082 .025 .013 .010 .059 .185 .068 .001 .073 .067 .037 .000 .001 .160 .315 .059 .000 .025 .008 .006 .041 .010 .101 .256 .011 .020 .001 .035 .003 r_peak,r_snr = .1160885 15.29441 Correlation Surface of oversamples image at 246 5446 .160 .110 .044 .002 .010 .017 .004 .000 .000 .024 .006 .002 .043 .120 .143 .090 .032 .006 .010 .046 .131 .268 .413 .436 .301 .128 .027 .080 .210 .399 .619 .804 .787 .533 .226 .049 .138 .345 .587 .823 1.000 .941 .609 .236 .041 .147 .365 .578 .752 .868 .790 .482 .159 .014 .119 .294 .438 .527 .562 .480 .266 .065 .000 .082 .203 .284 .307 .286 .211 .097 .011 .010 .061 .148 .187 .172 .131 .072 .020 .000 .028 246 -10.844 5446 -9.469 15.29441 .063354 .037588 .018463 Correlation Surface at 446 5446 .334 .129 .192 .221 .319 .287 .127 .149 .147 .237 .134 .108 .115 .222 .345 .169 .110 .073 .270 .243 .116 .112 .150 .243 .175 .085 .057 .348 .365 .228 .412 .535 .279 .179 .148 .116 .337 .276 .213 .611 1.000 .413 .195 .270 .309 .428 .268 .187 .359 .537 .250 .125 .250 .445 .487 .351 .213 .177 .152 .059 .063 .111 .219 .466 .269 .148 .149 .146 .053 .053 .082 .097 .535 .194 .103 .245 .362 .175 .070 .101 .122 r_peak,r_snr = .1433495 5.46359 Correlation Surface of oversamples image at 446 5446 .152 .121 .118 .114 .108 .123 .163 .198 .179 .245 .216 .236 .267 .280 .265 .236 .214 .177 .317 .312 .392 .516 .601 .554 .405 .280 .196 .323 .344 .493 .734 .915 .865 .604 .358 .214 .282 .308 .480 .771 1.000 .965 .679 .378 .202 .237 .252 .388 .628 .823 .802 .564 .305 .154 .209 .203 .284 .429 .547 .521 .352 .182 .093 .188 .165 .202 .274 .325 .288 .174 .084 .049 .152 .125 .141 .176 .199 .169 .093 .041 .029 446 4.688 5446 6.906 5.46359 .018215 .020636 -.000217 Correlation Surface at 646 5446 .298 .216 .167 .184 .199 .291 .662 .750 .878 .255 .333 .357 .430 .265 .073 .152 .377 .734 .356 .588 .561 .716 .429 .043 .012 .175 .591 .536 .760 .659 .857 .811 .170 .095 .297 .714 .347 .514 .429 .651 1.000 .410 .249 .330 .571 .061 .301 .200 .227 .562 .667 .347 .120 .193 .000 .098 .087 .071 .217 .547 .418 .038 .054 .001 .006 .058 .096 .174 .253 .386 .118 .111 .014 .040 .169 .120 .118 .098 .219 .176 .336 r_peak,r_snr = .1094783 6.1065 Correlation Surface of oversamples image at 646 5446 .141 .115 .175 .277 .304 .239 .163 .112 .107 .218 .188 .283 .451 .490 .352 .194 .090 .049 .324 .285 .403 .635 .706 .507 .256 .097 .034 .418 .373 .496 .766 .896 .676 .344 .128 .045 .447 .400 .518 .794 1.000 .834 .453 .180 .077 .415 .367 .471 .726 .986 .932 .581 .270 .139 .363 .313 .392 .596 .844 .904 .688 .408 .245 .320 .267 .311 .447 .633 .755 .728 .575 .399 .292 .235 .240 .317 .444 .580 .697 .720 .578 646 -4.344 5446 4.313 6.10650 .071441 .144524 -.076888 Correlation Surface at 746 5446 .001 .000 .007 .085 .138 .213 .316 .047 .020 .001 .016 .054 .172 .220 .160 .280 .036 .003 .003 .071 .203 .415 .479 .203 .221 .045 .001 .002 .067 .245 .592 .936 .437 .234 .090 .001 .003 .046 .204 .580 1.000 .641 .284 .129 .027 .003 .111 .272 .652 .588 .336 .124 .065 .051 .003 .180 .320 .534 .312 .117 .023 .008 .033 .021 .016 .093 .147 .078 .032 .006 .003 .003 .056 .091 .007 .000 .001 .000 .004 .006 .005 r_peak,r_snr = .1170929 10.46799 Correlation Surface of oversamples image at 746 5446 .394 .349 .384 .560 .779 .918 .914 .652 .316 .500 .367 .354 .543 .820 .975 .965 .758 .447 .681 .498 .433 .615 .897 .993 .903 .716 .467 .849 .696 .594 .742 .984 .991 .795 .586 .385 .900 .833 .722 .821 1.000 .943 .684 .455 .291 .757 .749 .641 .684 .802 .736 .507 .316 .204 .427 .426 .339 .336 .390 .361 .244 .149 .104 .093 .089 .058 .049 .057 .053 .033 .020 .016 .004 .006 .008 .010 .011 .010 .008 .005 .002 746 -.781 5446 -.781 10.46799 .045683 .114353 .011928 Correlation Surface at 846 5446 .153 .142 .234 .393 .507 .428 .321 .201 .138 .166 .132 .266 .387 .436 .363 .289 .303 .113 .137 .104 .212 .359 .388 .248 .106 .180 .166 .053 .024 .119 .405 .740 .373 .060 .070 .210 .070 .069 .243 .479 1.000 .672 .139 .056 .132 .088 .276 .641 .756 .745 .576 .165 .039 .014 .006 .253 .738 .993 .599 .292 .137 .032 .004 .052 .055 .403 .684 .537 .225 .158 .111 .000 .081 .005 .267 .476 .708 .373 .225 .273 .095 r_peak,r_snr = .139515 7.48341 Correlation Surface of oversamples image at 846 5446 .010 .045 .103 .166 .269 .435 .594 .564 .326 .047 .135 .253 .336 .392 .457 .526 .494 .311 .095 .248 .449 .589 .608 .543 .465 .371 .233 .109 .307 .589 .823 .863 .688 .445 .257 .137 .077 .280 .591 .893 1.000 .804 .453 .190 .071 .034 .208 .488 .766 .916 .796 .463 .176 .051 .009 .142 .358 .558 .696 .681 .467 .208 .069 .003 .114 .284 .417 .528 .593 .515 .307 .141 846 -1.063 5446 -3.031 7.48341 .025884 .072277 .004657 Correlation Surface at 946 5446 .004 .080 .212 .443 .800 .827 .493 .255 .176 .006 .092 .244 .440 .809 .879 .477 .209 .133 .009 .084 .254 .502 .823 .781 .406 .170 .086 .002 .077 .270 .573 .908 .723 .354 .157 .071 .000 .083 .327 .633 1.000 .799 .371 .164 .075 .003 .089 .300 .612 .956 .858 .416 .167 .085 .006 .068 .206 .529 .824 .769 .426 .160 .095 .011 .063 .183 .553 .878 .704 .354 .123 .094 .034 .125 .227 .616 .992 .711 .273 .064 .055 r_peak,r_snr = .2934219 7.287 Correlation Surface of oversamples image at 946 5446 .916 1.499 2.258 2.884 3.174 3.239 3.086 2.545 1.726 .836 1.438 2.245 2.923 3.172 3.125 2.918 2.408 1.640 .854 1.476 2.332 3.098 3.370 3.196 2.835 2.270 1.531 .989 1.618 2.514 3.379 3.716 3.424 2.855 2.170 1.430 946 .000 5446 4.813 7.28700 .011527 .167750 -.008225 Correlation Surface at 1046 5446 .076 .212 .274 .064 .031 .060 .266 .534 .435 .093 .058 .074 .606 .973 .734 .349 .220 .145 .711 1.000 .610 .389 .333 .090 .495 .719 .301 .113 .211 .045 .123 .274 .105 .013 .074 .081 .006 .016 .012 .008 .061 .141 .005 .005 .001 .011 .036 .134 r_peak,r_snr = .1195225 5.39898 Correlation Surface of oversamples image at 1046 5446 .577 .353 .269 .366 .547 .615 .566 .453 .278 .607 .491 .433 .537 .723 .757 .648 .506 .370 .570 .592 .600 .700 .852 .849 .691 .514 .405 .510 .643 .740 .846 .950 .901 .706 .489 .373 .415 .593 .768 .914 1.000 .906 .673 .430 .293 .279 .416 .610 .800 .916 .822 .579 .338 .198 .143 .197 .338 .521 .668 .632 .445 .241 .117 .065 .061 .122 .241 .370 .397 .303 .164 .072 .044 .018 .031 .078 .151 .196 .179 .112 .056 1046 -14.500 5446 -11.500 5.39898 .068898 .299467 .063692 Correlation Surface at 1146 5446 .419 .406 .450 .553 .844 .824 .540 .258 .112 .450 .361 .429 .522 .792 .733 .441 .242 .128 .452 .375 .452 .561 .796 .711 .379 .193 .130 .383 .385 .517 .709 .895 .805 .501 .252 .145 .353 .449 .583 .789 1.000 .890 .660 .372 .165 .361 .558 .642 .731 .962 .849 .631 .422 .164 .331 .572 .700 .693 .855 .731 .517 .413 .195 .274 .442 .666 .698 .748 .686 .490 .407 .240 .295 .327 .537 .707 .743 .729 .553 .377 .210 r_peak,r_snr = .3233847 3.78668 Correlation Surface of oversamples image at 1146 5446 .507 .541 .659 .794 .822 .688 .469 .287 .183 .569 .616 .723 .847 .885 .775 .561 .352 .215 .641 .712 .809 .911 .950 .870 .683 .464 .291 .694 .785 .878 .963 .996 .938 .789 .588 .394 .704 .799 .895 .976 1.000 .947 .828 .664 .479 .676 .757 .862 .951 .964 .894 .784 .654 .504 .631 .689 .797 .898 .899 .802 .683 .575 .462 .590 .624 .725 .829 .825 .708 .576 .478 .395 .566 .582 .660 .754 .756 .641 .501 .404 .341 1146 .438 5446 2.813 3.78668 .024943 .114446 -.002577 Correlation Surface at 1246 5446 .005 .000 .044 .222 .426 .539 .391 .139 .064 .001 .021 .046 .168 .341 .511 .334 .089 .065 .006 .020 .059 .305 .423 .577 .423 .123 .073 .037 .003 .036 .530 .866 .815 .571 .185 .036 .088 .021 .009 .402 1.000 .943 .593 .180 .012 .076 .023 .003 .195 .728 .772 .406 .084 .006 .021 .008 .010 .162 .495 .545 .220 .008 .000 .000 .001 .047 .277 .443 .443 .250 .013 .000 .000 .002 .052 .357 .504 .435 .347 .082 .006 r_peak,r_snr = .1600988 8.39358 Correlation Surface of oversamples image at 1246 5446 .096 .153 .234 .363 .543 .672 .594 .353 .140 .119 .234 .358 .480 .616 .716 .666 .465 .235 .127 .336 .559 .705 .780 .802 .720 .526 .302 .116 .388 .723 .921 .951 .887 .742 .534 .325 .105 .375 .754 .990 1.000 .878 .687 .476 .300 .110 .341 .692 .920 .905 .750 .543 .352 .222 .128 .316 .610 .795 .742 .565 .368 .210 .121 .152 .303 .537 .677 .591 .406 .231 .106 .044 .186 .311 .493 .599 .504 .322 .163 .056 .011 1246 .281 5446 3.938 8.39358 .032943 .094113 -.022487 Correlation Surface at 1346 5446 .266 .294 .459 .513 .301 .180 .247 .269 .267 .265 .400 .480 .396 .305 .268 .388 .394 .322 .287 .387 .545 .633 .498 .332 .445 .408 .301 .327 .405 .579 .970 .890 .325 .307 .409 .447 .235 .315 .588 .938 1.000 .414 .254 .408 .545 .155 .137 .478 .816 .777 .460 .273 .398 .456 .184 .114 .311 .761 .743 .424 .303 .363 .437 r_peak,r_snr = .1789131 5.02875 Correlation Surface of oversamples image at 1346 5446 .429 .427 .421 .418 .396 .353 .321 .324 .382 .386 .429 .497 .578 .590 .496 .371 .297 .306 .373 .456 .580 .741 .814 .688 .458 .290 .241 .400 .519 .666 .853 .972 .862 .570 .320 .215 .436 .598 .744 .893 1.000 .925 .648 .366 .224 .448 .654 .800 .886 .932 .865 .646 .396 .251 .416 .644 .812 .866 .844 .753 .581 .396 .277 .355 .562 .758 .836 .785 .655 .501 .377 .300 .301 .448 .650 .787 .759 .608 .450 .361 .326 1346 .594 5446 11.844 5.02875 .025542 .103857 -.017447 Correlation Surface at 1446 5446 .072 .052 .097 .070 .158 .433 .380 .150 .001 .036 .050 .094 .104 .178 .176 .052 .050 .001 .101 .125 .140 .264 .439 .204 .000 .030 .061 .141 .229 .266 .493 .844 .395 .002 .022 .153 .077 .171 .330 .557 1.000 .383 .006 .007 .041 .099 .090 .178 .342 .627 .179 .002 .001 .004 .099 .094 .098 .275 .449 .154 .003 .028 .030 .017 .152 .089 .370 .714 .313 .038 .000 .000 .023 .212 .091 .377 .947 .330 .050 .122 .169 r_peak,r_snr = .1052069 7.65585 Correlation Surface of oversamples image at 1446 5446 .012 .032 .095 .205 .363 .482 .356 .114 .017 .067 .110 .226 .401 .575 .632 .429 .130 .011 .182 .248 .412 .646 .815 .769 .478 .147 .012 .326 .404 .586 .843 .985 .843 .472 .141 .013 .396 .489 .656 .895 1.000 .800 .404 .107 .011 .323 .441 .598 .795 .859 .654 .298 .060 .002 .188 .318 .482 .636 .660 .483 .198 .022 .002 .092 .213 .388 .521 .518 .365 .140 .007 .017 .050 .153 .349 .498 .483 .333 .137 .009 .021 1446 -.031 5446 -4.219 7.65585 .028685 .120677 .005896 Correlation Surface at 1546 5446 .006 .069 .247 .585 .690 .504 .191 .020 .000 .002 .064 .220 .615 .815 .537 .218 .023 .001 .002 .062 .207 .487 .652 .474 .217 .039 .000 .006 .056 .188 .472 .696 .538 .206 .030 .000 .011 .066 .214 .582 1.000 .750 .294 .023 .000 .008 .074 .273 .618 .948 .700 .334 .054 .000 .000 .050 .213 .496 .690 .492 .261 .081 .008 .001 .028 .141 .427 .677 .455 .247 .096 .010 .001 .026 .155 .529 .824 .525 .238 .143 .025 r_peak,r_snr = .2739892 9.58473 Correlation Surface of oversamples image at 1546 5446 .239 .421 .599 .695 .677 .593 .476 .326 .180 .202 .380 .576 .716 .734 .653 .515 .339 .171 .185 .362 .587 .788 .862 .783 .610 .393 .188 .195 .376 .620 .863 .981 .905 .700 .453 .223 .225 .412 .650 .884 1.000 .922 .711 .466 .246 .246 .434 .648 .835 .906 .819 .626 .417 .237 .237 .421 .613 .753 .774 .675 .509 .341 .204 .202 .378 .569 .694 .686 .570 .419 .280 .172 .165 .333 .539 .684 .675 .537 .376 .246 .154 1546 .063 5446 .313 9.58473 .009697 .030013 -.000099 Correlation Surface at 1646 5446 .012 .059 .244 .480 .719 .510 .210 .054 .014 .027 .082 .185 .398 .581 .479 .201 .054 .014 .017 .078 .164 .393 .574 .476 .159 .041 .040 .027 .069 .166 .463 .783 .634 .163 .036 .059 .072 .087 .168 .552 1.000 .877 .298 .083 .071 .063 .066 .131 .465 .869 .851 .443 .188 .118 .041 .062 .083 .277 .577 .603 .386 .236 .153 .042 .115 .086 .185 .419 .445 .324 .267 .153 .063 .132 .116 .196 .426 .411 .344 .358 .167 r_peak,r_snr = .237656 7.98009 Correlation Surface of oversamples image at 1646 5446 .367 .440 .537 .641 .650 .495 .277 .124 .055 .378 .468 .580 .701 .721 .548 .293 .118 .047 .418 .545 .677 .808 .835 .656 .364 .148 .056 .460 .632 .782 .909 .944 .790 .491 .226 .093 .476 .684 .844 .957 1.000 .902 .645 .350 .161 .449 .667 .829 .926 .973 .935 .761 .478 .243 .379 .576 .728 .813 .856 .856 .759 .533 .296 .290 .445 .578 .653 .692 .699 .642 .483 .292 .216 .329 .439 .511 .548 .548 .498 .389 .259 1646 .469 5446 5.063 7.98009 .017960 .047904 -.006760 Correlation Surface at 1746 5446 .143 .018 .227 .409 .078 .009 .006 .021 .012 .143 .010 .116 .213 .233 .027 .015 .014 .008 .025 .079 .244 .385 .644 .289 .009 .006 .003 .027 .101 .533 .730 .979 .480 .004 .089 .035 .180 .000 .476 .824 1.000 .558 .027 .085 .059 .289 .062 .273 .777 .924 .558 .062 .045 .106 .225 .010 .226 .697 .903 .327 .001 .094 .145 .237 .019 .174 .772 .921 .172 .142 .175 .038 .336 .236 .069 .795 .602 .065 .215 .183 .002 r_peak,r_snr = 9.99878E-02 6.74494 Correlation Surface of oversamples image at 1746 5446 .042 .092 .178 .281 .339 .285 .155 .044 .005 .112 .165 .267 .400 .495 .467 .306 .111 .011 .187 .270 .416 .597 .716 .671 .451 .175 .016 .210 .363 .580 .801 .915 .824 .547 .221 .026 .155 .392 .693 .923 1.000 .877 .585 .257 .047 .072 .354 .734 .959 .991 .863 .600 .302 .091 .022 .284 .710 .941 .949 .832 .605 .349 .153 .008 .219 .619 .857 .876 .787 .592 .361 .185 .017 .189 .497 .712 .774 .732 .552 .315 .144 1746 .406 5446 -5.250 6.74493 .097641 4.164028 -.093225 Correlation Surface at 1846 5446 .025 .129 .368 .651 .728 .565 .205 .050 .014 .011 .097 .292 .597 .776 .583 .212 .061 .016 .009 .082 .262 .590 .836 .593 .217 .067 .020 .009 .066 .243 .640 .928 .611 .205 .054 .022 .003 .039 .196 .659 1.000 .672 .213 .051 .022 .000 .029 .168 .595 .947 .681 .228 .063 .028 .001 .038 .168 .476 .800 .655 .265 .086 .041 .002 .058 .185 .415 .679 .667 .359 .135 .048 .001 .066 .213 .438 .627 .664 .450 .203 .052 r_peak,r_snr = .3668571 7.39272 Correlation Surface of oversamples image at 1846 5446 .286 .453 .625 .768 .836 .776 .605 .408 .253 .285 .470 .667 .821 .873 .791 .613 .415 .254 .271 .474 .703 .883 .934 .835 .642 .432 .260 .244 .452 .705 .919 .986 .888 .685 .455 .264 .213 .410 .670 .908 1.000 .918 .719 .476 .267 .189 .364 .611 .857 .969 .908 .725 .487 .272 .179 .327 .546 .784 .911 .871 .713 .497 .288 .182 .305 .490 .707 .845 .830 .703 .520 .325 .197 .305 .458 .644 .781 .796 .708 .563 .385 1846 -.031 5446 .375 7.39271 .005310 .106273 -.006029 Correlation Surface at 1946 5446 .225 .172 .135 .421 .706 .454 .078 .004 .018 .209 .177 .121 .345 .589 .400 .096 .021 .022 .130 .192 .174 .402 .556 .283 .093 .053 .063 .052 .151 .317 .650 .786 .299 .057 .026 .078 .049 .075 .265 .780 1.000 .401 .032 .002 .045 .052 .052 .133 .666 .982 .396 .027 .001 .031 .071 .091 .114 .538 .945 .393 .047 .015 .037 .113 .162 .143 .435 .910 .470 .099 .041 .051 .120 .193 .192 .409 .776 .448 .115 .032 .029 r_peak,r_snr = .236105 9.07834 Correlation Surface of oversamples image at 1946 5446 .130 .111 .168 .312 .439 .414 .301 .210 .159 .173 .199 .300 .493 .639 .577 .388 .233 .149 .183 .275 .439 .686 .862 .778 .515 .277 .142 .149 .281 .498 .792 .999 .927 .633 .329 .140 .097 .221 .453 .770 1.000 .956 .682 .361 .140 .059 .148 .354 .664 .899 .875 .640 .352 .138 .042 .100 .265 .544 .769 .756 .558 .317 .132 .045 .083 .211 .447 .657 .663 .498 .293 .133 .064 .085 .180 .373 .570 .610 .484 .299 .148 1946 -.344 5446 -.219 9.07834 .008936 .099209 -.004538 Correlation Surface at 2046 5446 .003 .004 .045 .220 .606 .602 .119 .001 .028 .010 .006 .042 .262 .611 .458 .069 .002 .022 .011 .011 .060 .336 .736 .443 .056 .005 .027 .012 .009 .069 .405 .912 .485 .049 .009 .029 .004 .009 .060 .433 1.000 .551 .047 .012 .023 .002 .006 .061 .450 .973 .503 .048 .010 .030 .003 .006 .069 .457 .897 .353 .025 .010 .033 .003 .015 .100 .499 .847 .296 .011 .007 .020 .006 .013 .138 .614 .831 .271 .006 .007 .012 r_peak,r_snr = .2855088 11.3268 Correlation Surface of oversamples image at 2046 5446 .039 .108 .293 .564 .726 .643 .398 .164 .034 .036 .112 .309 .605 .799 .716 .444 .184 .040 .031 .112 .327 .655 .886 .811 .511 .215 .049 .031 .119 .354 .712 .968 .896 .572 .246 .059 .033 .128 .373 .744 1.000 .911 .576 .251 .063 .029 .121 .360 .719 .949 .830 .500 .211 .052 .022 .104 .329 .667 .860 .709 .393 .152 .034 .015 .089 .302 .623 .788 .617 .311 .104 .019 .014 .085 .294 .603 .753 .578 .276 .081 .011 2046 .125 5446 -.594 11.32680 .004189 .246080 .002417 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .014 .106 .289 .652 .898 .919 .730 .455 .111 .070 .145 .271 .584 .930 .996 .794 .475 .139 .143 .178 .279 .533 .886 .941 .681 .458 .192 .077 .179 .306 .512 .887 .887 .524 .369 .212 .008 .121 .314 .574 1.000 .967 .443 .245 .174 .002 .106 .351 .631 .997 .977 .491 .184 .087 .008 .123 .333 .553 .784 .708 .429 .166 .028 .014 .078 .192 .428 .644 .582 .358 .160 .024 .028 .071 .115 .331 .581 .605 .376 .180 .060 r_peak,r_snr = .2404587 6.30231 Correlation Surface of oversamples image at 146 5846 .276 .389 .527 .649 .743 .754 .643 .476 .330 .348 .472 .604 .717 .797 .782 .633 .435 .284 .403 .551 .690 .805 .882 .840 .644 .404 .239 .410 .580 .743 .884 .973 .918 .681 .394 .208 .378 .547 .728 .893 1.000 .951 .708 .401 .196 .338 .477 .643 .805 .909 .876 .672 .396 .193 .307 .409 .539 .669 .742 .710 .562 .354 .183 .284 .361 .458 .552 .590 .545 .432 .287 .161 .247 .319 .400 .475 .497 .446 .342 .226 .132 146 -.375 5846 -.594 6.30231 .024589 .366574 .013848 Correlation Surface at 246 5846 .065 .031 .069 .246 .407 .300 .157 .109 .184 .039 .035 .102 .273 .389 .132 .071 .175 .149 .029 .037 .155 .496 .587 .176 .024 .140 .219 .029 .085 .233 .755 .848 .375 .083 .144 .332 .006 .078 .208 .726 1.000 .583 .197 .194 .336 .001 .041 .096 .449 .855 .550 .224 .202 .261 .001 .079 .084 .256 .524 .333 .205 .186 .192 .000 .170 .217 .211 .350 .302 .215 .176 .131 .002 .153 .343 .350 .388 .446 .337 .216 .164 r_peak,r_snr = .1637923 6.96841 Correlation Surface of oversamples image at 246 5846 .069 .144 .226 .284 .322 .311 .198 .061 .009 .093 .209 .351 .446 .475 .434 .288 .100 .010 .124 .274 .484 .646 .677 .588 .406 .175 .028 .156 .319 .578 .817 .874 .750 .535 .282 .078 .170 .321 .585 .877 1.000 .894 .669 .405 .164 .145 .265 .484 .784 .993 .978 .786 .522 .259 .095 .176 .326 .586 .853 .956 .845 .601 .333 .051 .097 .184 .373 .638 .820 .798 .607 .364 .033 .060 .103 .222 .436 .634 .673 .545 .353 246 -.375 5846 5.813 6.96841 .042500 .195885 -.054785 Correlation Surface at 346 5846 .510 .061 .004 .407 .450 .128 .035 .326 .023 .176 .030 .001 .126 .344 .138 .002 .095 .169 .012 .073 .115 .007 .127 .085 .022 .003 .228 .016 .019 .084 .008 .369 .042 .007 .000 .137 .004 .007 .025 .090 1.000 .174 .036 .000 .044 .001 .027 .105 .014 .653 .266 .000 .009 .000 .003 .002 .086 .040 .206 .245 .043 .022 .041 .004 .021 .038 .054 .232 .664 .133 .000 .003 .003 .108 .095 .003 .283 .798 .180 .006 .001 r_peak,r_snr = 8.19182E-02 9.95835 Correlation Surface of oversamples image at 346 5846 .120 .051 .003 .017 .036 .003 .024 .075 .036 .153 .083 .007 .023 .056 .004 .043 .119 .059 .093 .038 .008 .174 .253 .054 .024 .130 .070 .031 .005 .085 .513 .693 .250 .000 .079 .054 .006 .000 .143 .698 1.000 .482 .043 .016 .022 .000 .003 .128 .567 .865 .508 .107 .001 .001 .000 .001 .071 .318 .521 .357 .124 .026 .012 .001 .002 .015 .135 .286 .252 .138 .067 .050 .001 .022 .002 .051 .223 .298 .244 .147 .089 346 -1.063 5846 6.063 9.95835 .013856 .055056 -.004100 Correlation Surface at 446 5846 .003 .112 .273 .331 .373 .374 .078 .040 .092 .003 .042 .243 .383 .309 .241 .041 .010 .027 .004 .060 .197 .366 .405 .262 .039 .011 .000 .082 .159 .282 .541 .765 .654 .200 .055 .001 .208 .238 .351 .693 1.000 .820 .421 .101 .037 .182 .217 .287 .475 .818 .666 .307 .042 .026 .091 .178 .148 .181 .443 .521 .177 .009 .003 .054 .162 .117 .057 .202 .301 .135 .026 .045 .082 .234 .164 .044 .122 .170 .065 .041 .100 r_peak,r_snr = .1388403 7.18814 Correlation Surface of oversamples image at 446 5846 .057 .166 .354 .479 .468 .383 .264 .126 .030 .051 .172 .418 .630 .678 .609 .465 .257 .084 .080 .223 .514 .778 .872 .832 .686 .428 .172 .134 .297 .610 .887 .993 .967 .826 .557 .253 .187 .347 .638 .893 1.000 .974 .836 .583 .280 .212 .355 .591 .800 .911 .903 .776 .550 .273 .192 .310 .487 .648 .762 .791 .698 .504 .257 .147 .234 .364 .486 .592 .647 .600 .454 .241 .115 .163 .254 .352 .438 .489 .480 .392 .227 446 .125 5846 -.219 7.18814 .080670 .110847 -.009795 Correlation Surface at 646 5846 .223 .239 .304 .621 .720 .405 .138 .011 .016 .159 .205 .218 .617 .881 .443 .146 .018 .009 .094 .189 .243 .664 .852 .385 .120 .018 .007 .060 .173 .273 .670 .937 .459 .132 .034 .007 .034 .186 .283 .631 1.000 .545 .164 .071 .001 .026 .169 .245 .542 .825 .473 .189 .073 .014 .078 .152 .187 .452 .704 .430 .201 .070 .011 .140 .167 .163 .392 .693 .430 .181 .069 .014 .105 .145 .167 .355 .685 .409 .161 .052 .013 r_peak,r_snr = .2310912 7.1206 Correlation Surface of oversamples image at 646 5846 .319 .387 .502 .622 .659 .555 .376 .224 .138 .357 .436 .559 .690 .724 .600 .401 .237 .141 .392 .478 .606 .765 .837 .722 .499 .300 .176 .410 .496 .630 .820 .952 .874 .632 .384 .222 .395 .479 .615 .825 1.000 .962 .718 .439 .252 .347 .425 .561 .774 .957 .939 .711 .441 .259 .288 .350 .477 .684 .860 .843 .642 .412 .258 .252 .285 .390 .587 .761 .748 .574 .385 .262 .253 .252 .331 .519 .702 .702 .543 .376 .275 646 -.313 5846 .063 7.12060 .010044 .103693 -.006329 Correlation Surface at 746 5846 .073 .079 .069 .162 .111 .028 .016 .158 .074 .130 .044 .050 .173 .070 .033 .010 .074 .105 .167 .110 .035 .193 .204 .093 .004 .015 .024 .111 .216 .085 .308 .705 .356 .000 .001 .001 .121 .171 .167 .497 1.000 .508 .018 .001 .000 .142 .074 .098 .363 .632 .315 .075 .030 .001 .152 .031 .036 .133 .285 .123 .073 .039 .000 .208 .052 .086 .181 .198 .024 .000 .000 .001 .257 .198 .268 .424 .233 .012 .032 .005 .004 r_peak,r_snr = .1171153 8.71858 Correlation Surface of oversamples image at 746 5846 .015 .055 .160 .194 .101 .025 .002 .002 .014 .016 .055 .214 .361 .297 .132 .024 .002 .031 .025 .069 .281 .578 .612 .361 .093 .000 .044 .044 .098 .344 .757 .902 .604 .191 .004 .034 .065 .128 .373 .807 1.000 .698 .242 .017 .012 .066 .129 .343 .720 .885 .606 .210 .024 .000 .040 .083 .247 .558 .690 .451 .150 .025 .004 .017 .040 .151 .405 .532 .337 .112 .030 .018 .011 .027 .103 .294 .402 .248 .080 .027 .024 746 -.063 5846 -7.063 8.71858 .026931 .062344 .003407 Correlation Surface at 846 5846 .187 .330 .457 .676 .962 .927 .603 .327 .148 .129 .272 .467 .702 .955 .908 .644 .348 .162 .113 .237 .485 .769 1.000 .842 .590 .357 .214 .125 .212 .397 .682 .940 .810 .583 .383 .269 .106 .174 .318 .582 .835 .800 .655 .450 .306 .082 .137 .276 .541 .770 .815 .733 .512 .323 .107 .137 .245 .477 .751 .890 .808 .539 .331 r_peak,r_snr = .3379719 4.46036 Correlation Surface of oversamples image at 846 5846 .434 .514 .598 .699 .802 .876 .885 .805 .661 .467 .567 .657 .757 .851 .898 .877 .788 .655 .499 .632 .739 .843 .927 .940 .874 .763 .635 .502 .665 .801 .915 .987 .969 .868 .739 .616 .462 .636 .799 .932 1.000 .966 .854 .727 .616 .395 .557 .734 .890 .967 .936 .834 .728 .638 .329 .473 .652 .822 .915 .900 .821 .743 .678 .287 .417 .592 .765 .866 .869 .818 .765 .719 .268 .392 .564 .733 .834 .850 .819 .781 .743 846 -1.875 5846 -12.656 4.46036 .016457 .186616 .011606 Correlation Surface at 946 5846 .082 .129 .228 .469 .641 .439 .251 .187 .128 .085 .108 .183 .469 .735 .513 .264 .171 .089 .071 .108 .196 .514 .882 .624 .263 .149 .069 .066 .139 .278 .614 .998 .719 .275 .135 .073 .068 .161 .335 .678 1.000 .678 .248 .132 .078 .067 .144 .328 .691 .937 .556 .205 .123 .066 .080 .127 .288 .677 .909 .491 .195 .113 .056 .085 .113 .257 .632 .867 .487 .194 .109 .052 .088 .116 .262 .555 .753 .486 .207 .104 .042 r_peak,r_snr = .3900509 7.41143 Correlation Surface of oversamples image at 946 5846 .148 .250 .421 .622 .734 .676 .500 .317 .194 .169 .278 .465 .695 .832 .763 .545 .324 .184 .211 .329 .526 .772 .923 .845 .591 .333 .176 .263 .390 .592 .836 .982 .893 .619 .337 .169 .306 .443 .647 .879 1.000 .895 .614 .328 .161 .323 .469 .679 .900 .990 .861 .581 .307 .151 .316 .468 .685 .900 .966 .814 .536 .281 .140 .295 .453 .675 .889 .942 .773 .496 .257 .129 .266 .434 .663 .876 .923 .745 .469 .242 .121 946 .000 5846 1.750 7.41143 .009611 .388468 .044420 Correlation Surface at 1046 5846 .015 .064 .269 .756 .895 .478 .168 .047 .003 .018 .089 .270 .714 .963 .589 .206 .066 .000 .010 .103 .232 .632 .966 .602 .203 .041 .000 .008 .113 .233 .570 .987 .600 .187 .026 .002 .008 .088 .244 .555 1.000 .709 .240 .043 .014 .003 .055 .235 .546 .858 .708 .263 .069 .022 .000 .030 .207 .525 .739 .608 .222 .074 .012 .000 .022 .184 .489 .792 .708 .287 .110 .004 .001 .038 .205 .503 .885 .869 .355 .136 .006 r_peak,r_snr = .2739763 7.54364 Correlation Surface of oversamples image at 1046 5846 .347 .500 .691 .845 .869 .714 .472 .265 .130 .302 .456 .671 .860 .900 .739 .487 .271 .123 .282 .438 .663 .877 .939 .782 .526 .297 .129 .284 .450 .676 .899 .980 .842 .590 .347 .154 .292 .473 .693 .909 1.000 .885 .647 .398 .187 .292 .478 .681 .880 .975 .879 .657 .416 .208 .277 .449 .626 .806 .916 .840 .624 .395 .208 .251 .399 .548 .719 .855 .808 .591 .362 .196 .226 .354 .485 .658 .826 .814 .595 .354 .194 1046 -.031 5846 1.000 7.54364 .008682 .153941 -.009073 Correlation Surface at 1146 5846 .043 .202 .462 .626 .531 .312 .148 .078 .066 .024 .154 .478 .784 .715 .324 .075 .025 .032 .008 .124 .543 .904 .848 .386 .093 .052 .086 .008 .107 .524 .956 .946 .509 .193 .144 .193 .014 .102 .434 .920 1.000 .600 .288 .216 .224 .005 .110 .385 .771 .972 .660 .295 .199 .192 .002 .114 .395 .657 .949 .798 .335 .184 .145 .021 .109 .333 .559 .911 .864 .396 .218 .107 .052 .095 .196 .384 .730 .733 .382 .228 .099 r_peak,r_snr = .2652692 6.45263 Correlation Surface of oversamples image at 1146 5846 .115 .222 .373 .533 .677 .738 .612 .358 .175 .104 .250 .459 .672 .835 .875 .682 .345 .116 .093 .273 .539 .796 .963 .957 .697 .307 .069 .084 .287 .586 .854 1.000 .954 .662 .273 .049 .079 .286 .583 .831 .948 .888 .616 .266 .056 .075 .266 .536 .759 .868 .828 .601 .298 .093 .071 .230 .459 .667 .798 .806 .633 .367 .162 .074 .204 .395 .584 .740 .808 .691 .454 .253 1146 -.281 5846 -8.750 6.45263 .059184 .962157 -.199477 Correlation Surface at 1246 5846 .001 .034 .166 .444 .644 .589 .366 .117 .022 .002 .015 .156 .499 .740 .628 .380 .078 .001 .001 .003 .139 .560 .912 .770 .369 .061 .000 .000 .002 .141 .618 .942 .792 .284 .026 .001 .001 .006 .117 .628 1.000 .769 .272 .030 .000 .003 .011 .094 .511 .982 .759 .377 .086 .005 .005 .014 .125 .446 .889 .719 .424 .114 .005 .009 .033 .174 .449 .881 .710 .350 .102 .001 .021 .083 .221 .477 .849 .654 .224 .071 .008 r_peak,r_snr = .2242932 7.9634 Correlation Surface of oversamples image at 1246 5846 .773 2.081 3.513 4.000 3.970 3.472 2.726 2.304 .211 1.003 2.325 3.310 3.715 3.466 2.900 2.579 .011 .248 1.008 1.994 2.857 3.186 3.026 2.798 .000 .013 .233 .816 1.785 2.766 3.106 2.956 .003 .007 .005 .181 .916 2.277 3.103 3.004 1246 -2.125 5846 -5.813 7.96339 .020535 1.062267 -.046956 Correlation Surface at 1346 5846 .034 .166 .399 .602 .555 .350 .181 .052 .008 .060 .218 .413 .655 .685 .456 .178 .045 .006 .062 .241 .422 .704 .834 .608 .235 .063 .017 .055 .227 .467 .792 .951 .683 .286 .089 .024 .051 .192 .468 .801 1.000 .751 .332 .106 .011 .053 .188 .498 .769 .882 .730 .342 .108 .006 .069 .217 .566 .837 .794 .619 .303 .098 .004 .057 .219 .594 .888 .801 .565 .285 .087 .001 .027 .176 .545 .808 .754 .521 .290 .083 .001 r_peak,r_snr = .3772929 7.1607 Correlation Surface of oversamples image at 1346 5846 .351 .472 .604 .706 .746 .704 .568 .375 .205 .366 .489 .636 .763 .823 .784 .635 .426 .237 .397 .529 .687 .830 .901 .856 .688 .462 .262 .430 .576 .739 .889 .967 .915 .729 .486 .277 .443 .604 .767 .914 1.000 .955 .761 .505 .290 .441 .604 .754 .885 .979 .958 .779 .524 .304 .441 .600 .725 .823 .904 .907 .764 .530 .314 .453 .609 .710 .767 .814 .818 .708 .510 .313 .468 .624 .711 .733 .739 .725 .632 .465 .296 1346 .125 5846 -2.281 7.16070 .009391 .055357 -.003102 Correlation Surface at 1446 5846 .023 .060 .242 .503 .648 .391 .161 .044 .001 .017 .042 .242 .554 .703 .469 .250 .101 .005 .017 .037 .218 .596 .792 .606 .320 .119 .017 .023 .046 .189 .579 .924 .723 .353 .126 .028 .030 .064 .218 .581 1.000 .681 .257 .117 .031 .024 .060 .226 .543 .885 .567 .165 .076 .022 .016 .056 .201 .474 .749 .489 .156 .057 .020 .030 .071 .194 .476 .696 .442 .170 .063 .025 .072 .086 .167 .416 .662 .437 .170 .067 .035 r_peak,r_snr = .3052077 9.65683 Correlation Surface of oversamples image at 1446 5846 .275 .507 .730 .815 .756 .625 .488 .373 .270 .263 .484 .731 .858 .817 .677 .519 .393 .290 .253 .456 .720 .900 .895 .741 .544 .390 .287 .241 .422 .687 .919 .965 .806 .561 .367 .258 .224 .384 .635 .900 1.000 .854 .576 .342 .218 .203 .343 .570 .842 .983 .864 .582 .326 .185 .181 .301 .499 .758 .917 .829 .569 .316 .167 .166 .271 .439 .670 .831 .768 .535 .305 .163 .162 .266 .416 .612 .753 .701 .491 .288 .163 1446 -.031 5846 .063 9.65683 .006627 .078434 .004203 Correlation Surface at 1546 5846 .008 .016 .184 .610 .842 .496 .179 .017 .005 .000 .028 .179 .599 .873 .529 .188 .018 .010 .003 .059 .224 .631 .861 .497 .176 .014 .010 .001 .076 .299 .725 .933 .523 .153 .008 .008 .001 .069 .348 .778 1.000 .602 .156 .008 .004 .000 .067 .335 .736 .983 .619 .178 .017 .001 .001 .095 .307 .581 .827 .558 .162 .013 .002 .002 .124 .334 .470 .621 .471 .125 .003 .006 .000 .100 .387 .526 .531 .401 .111 .001 .009 r_peak,r_snr = .3693815 7.61756 Correlation Surface of oversamples image at 1546 5846 .248 .449 .687 .877 .899 .724 .471 .266 .132 .285 .494 .731 .918 .945 .767 .490 .260 .119 .313 .523 .756 .943 .980 .813 .526 .272 .117 .328 .539 .767 .952 .998 .847 .563 .296 .126 .329 .539 .763 .947 1.000 .860 .585 .317 .140 .318 .518 .732 .914 .976 .846 .583 .325 .149 .300 .475 .666 .840 .914 .803 .558 .314 .145 .288 .427 .577 .730 .815 .734 .517 .290 .131 .293 .394 .496 .611 .694 .646 .465 .260 .113 1546 -.094 5846 2.313 7.61756 .005955 .220440 -.010252 Correlation Surface at 1646 5846 .000 .023 .172 .490 .563 .301 .076 .015 .049 .001 .016 .142 .499 .649 .291 .067 .012 .034 .000 .012 .111 .454 .762 .390 .098 .029 .034 .000 .015 .118 .464 .904 .627 .191 .060 .055 .000 .022 .142 .504 1.000 .801 .307 .076 .063 .000 .016 .132 .444 .883 .754 .354 .094 .062 .001 .004 .082 .349 .717 .615 .299 .097 .044 .000 .002 .045 .296 .666 .580 .260 .078 .021 .003 .005 .040 .226 .601 .614 .303 .095 .016 r_peak,r_snr = .374325 11.11088 Correlation Surface of oversamples image at 1646 5846 .110 .249 .471 .713 .807 .666 .414 .214 .105 .108 .233 .443 .703 .848 .750 .500 .274 .143 .118 .241 .449 .724 .910 .853 .610 .357 .193 .137 .264 .478 .763 .974 .947 .715 .446 .249 .153 .283 .498 .782 1.000 .992 .781 .515 .302 .158 .285 .486 .751 .961 .969 .789 .549 .339 .147 .265 .443 .674 .867 .891 .746 .541 .351 .122 .232 .388 .587 .762 .799 .682 .505 .339 .090 .197 .344 .526 .690 .733 .627 .462 .314 1646 .250 5846 1.031 11.11088 .004428 .036827 -.002588 Correlation Surface at 1746 5846 .022 .010 .195 .454 .621 .560 .185 .003 .013 .015 .005 .154 .518 .719 .577 .201 .008 .017 .011 .007 .142 .568 .803 .544 .190 .015 .015 .018 .005 .183 .660 .928 .550 .165 .012 .021 .021 .003 .194 .684 1.000 .620 .172 .011 .031 .024 .002 .150 .609 .947 .729 .210 .004 .034 .043 .000 .100 .476 .896 .857 .289 .001 .044 .053 .001 .069 .362 .794 .808 .314 .005 .039 .043 .000 .063 .363 .730 .664 .230 .007 .020 r_peak,r_snr = .3024296 8.96983 Correlation Surface of oversamples image at 1746 5846 .095 .253 .494 .723 .821 .759 .601 .408 .236 .098 .253 .499 .756 .878 .798 .594 .376 .208 .109 .272 .521 .795 .943 .860 .616 .366 .193 .126 .301 .548 .826 .994 .924 .662 .384 .197 .140 .323 .559 .822 1.000 .957 .710 .420 .216 .146 .332 .554 .786 .953 .942 .738 .458 .233 .143 .326 .542 .747 .890 .899 .745 .488 .242 .130 .306 .524 .722 .848 .866 .749 .515 .251 .113 .276 .497 .707 .839 .863 .764 .546 .271 1746 .156 5846 -.125 8.96983 .009499 .197344 -.021028 Correlation Surface at 1846 5846 .026 .158 .339 .585 .798 .561 .160 .020 .002 .035 .189 .344 .564 .778 .559 .180 .024 .000 .056 .234 .388 .652 .847 .548 .138 .015 .001 .055 .225 .377 .710 .987 .607 .138 .016 .007 .034 .207 .340 .627 1.000 .703 .204 .037 .013 .013 .175 .288 .437 .698 .608 .228 .053 .007 .007 .101 .219 .375 .493 .404 .176 .048 .001 .013 .053 .146 .411 .532 .341 .139 .037 .000 .019 .069 .140 .400 .597 .377 .154 .033 .000 r_peak,r_snr = .3152164 8.11373 Correlation Surface of oversamples image at 1846 5846 .429 .517 .630 .744 .795 .717 .522 .303 .146 .459 .553 .676 .793 .831 .725 .500 .265 .110 .475 .571 .709 .840 .872 .744 .492 .244 .089 .473 .573 .732 .894 .937 .792 .517 .252 .090 .461 .561 .736 .931 1.000 .857 .570 .289 .114 .443 .528 .689 .886 .976 .872 .617 .339 .151 .418 .473 .585 .738 .825 .776 .600 .364 .178 .382 .411 .467 .554 .612 .598 .500 .333 .177 .335 .363 .391 .429 .453 .436 .371 .262 .150 1846 -.063 5846 .688 8.11373 .007781 .027803 -.004583 Correlation Surface at 1946 5846 .007 .011 .052 .214 .341 .201 .050 .007 .000 .007 .014 .069 .317 .497 .233 .050 .010 .000 .006 .012 .074 .417 .699 .298 .047 .007 .000 .005 .008 .069 .500 .938 .414 .057 .008 .000 .002 .006 .058 .484 1.000 .469 .066 .014 .002 .000 .003 .040 .343 .783 .428 .068 .013 .002 .001 .002 .026 .223 .548 .373 .076 .012 .001 .002 .003 .018 .151 .384 .307 .084 .014 .001 .001 .006 .013 .089 .244 .222 .073 .011 .001 r_peak,r_snr = .4996901 25.03244 Correlation Surface of oversamples image at 1946 5846 .110 .247 .452 .616 .597 .401 .180 .052 .011 .109 .271 .527 .744 .741 .504 .226 .064 .012 .095 .270 .569 .845 .873 .610 .278 .078 .014 .077 .250 .573 .899 .968 .699 .327 .094 .017 .061 .219 .540 .893 1.000 .748 .362 .108 .021 .050 .184 .477 .825 .959 .745 .375 .118 .025 .043 .150 .395 .708 .856 .696 .371 .125 .029 .038 .120 .309 .569 .720 .620 .356 .132 .034 .035 .094 .233 .437 .579 .532 .332 .136 .039 1946 -.125 5846 -.625 25.03244 .001142 .009253 -.000568 Correlation Surface at 2046 5846 .064 .001 .104 .521 .361 .142 .089 .007 .004 .076 .000 .108 .458 .433 .248 .088 .007 .001 .081 .000 .097 .430 .566 .394 .150 .019 .002 .051 .006 .158 .608 .927 .497 .169 .015 .000 .050 .002 .126 .576 1.000 .520 .112 .005 .020 .081 .014 .037 .340 .623 .448 .118 .000 .045 .098 .083 .000 .203 .391 .352 .137 .002 .020 .118 .106 .009 .108 .314 .344 .119 .011 .001 .092 .073 .006 .047 .238 .351 .152 .025 .001 r_peak,r_snr = .187653 11.26301 Correlation Surface of oversamples image at 2046 5846 .164 .306 .439 .463 .394 .320 .254 .169 .075 .181 .329 .484 .549 .502 .421 .340 .239 .123 .202 .377 .582 .703 .668 .544 .415 .293 .167 .208 .412 .679 .877 .865 .679 .466 .301 .172 .185 .386 .692 .961 1.000 .788 .500 .277 .136 .138 .305 .592 .885 .981 .809 .512 .252 .094 .087 .212 .435 .686 .813 .722 .491 .239 .072 .041 .131 .284 .461 .581 .563 .428 .230 .068 .008 .063 .165 .280 .379 .404 .344 .211 .072 2046 -.156 5846 -.344 11.26301 .013023 .047091 -.005023 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .5258061 26.85074 146 -.063 3046 -.063 26.85074 .000908 .001634 -.000116 r_peak,r_snr = .4160253 18.63395 246 -.094 3046 -.156 18.63395 .001338 .003529 -.000172 r_peak,r_snr = .6023479 2.41512 346 -.031 3046 -.188 2.41512 .001719 .003435 -.000563 r_peak,r_snr = .3125237 24.68398 446 -.094 3046 -.063 24.68398 .002342 .006279 -.000485 r_peak,r_snr = .3919846 12.78707 546 -.094 3046 -.094 12.78707 .002325 .007809 -.000678 r_peak,r_snr = .6962456 41.10603 646 -.063 3046 -.063 41.10603 .000436 .001841 .000016 r_peak,r_snr = .3635028 16.08655 746 -.031 3046 -.125 16.08655 .002788 .006919 -.000390 r_peak,r_snr = .2559167 21.06722 846 .094 3046 -.094 21.06722 .003469 .009060 -.000544 r_peak,r_snr = .3106467 22.38771 946 -.281 3046 .125 22.38771 .002535 .010814 -.000558 r_peak,r_snr = .2919911 10.24353 1046 .031 3046 -.219 10.24353 .004385 .047430 .000872 r_peak,r_snr = .5072101 9.1172 1146 -.063 3046 .031 9.11720 .001946 .007431 -.001012 r_peak,r_snr = .412104 24.39985 1246 -.031 3046 .156 24.39985 .001552 .003985 -.000414 r_peak,r_snr = .3306351 14.95438 1346 -.063 3046 -.219 14.95438 .002755 .012455 -.000898 r_peak,r_snr = .3375004 21.3644 1446 -.250 3046 -.250 21.36440 .002645 .006035 -.000626 r_peak,r_snr = .4062063 28.73466 1546 -.063 3046 -.344 28.73466 .001772 .005511 -.000467 r_peak,r_snr = .5025918 19.01279 1646 -.156 3046 .094 19.01279 .001171 .004715 -.000147 r_peak,r_snr = .2736453 26.90785 1746 .031 3046 .156 26.90785 .003243 .011204 .000152 r_peak,r_snr = .3033434 30.39086 1846 -.188 3046 -.031 30.39086 .002087 .010302 -.000854 r_peak,r_snr = .3014976 65.59176 1946 -.125 3046 .000 65.59176 .001899 .003881 -.000411 r_peak,r_snr = .3530285 30.91121 2046 -.031 3046 -.125 30.91121 .001626 .004357 -.000219 At line = 3400 Reading in data.... r_peak,r_snr = .5465682 12.3387 146 -.219 3446 -.188 12.33870 .001174 .002691 -.000136 r_peak,r_snr = .1474047 19.96963 246 -.188 3446 -.094 19.96963 .005843 .011020 -.000816 r_peak,r_snr = .4863973 9.21039 346 -.063 3446 .000 9.21039 .001421 .003639 -.000269 r_peak,r_snr = .5094414 25.74973 446 -.031 3446 -.031 25.74973 .000909 .002578 -.000096 r_peak,r_snr = .2049037 58.25974 546 -.125 3446 .000 58.25974 .003952 .007161 -.000450 r_peak,r_snr = .2698642 33.31586 646 -.188 3446 .000 33.31586 .002656 .005156 -.000445 r_peak,r_snr = .3838756 10.10131 746 -.156 3446 -.094 10.10131 .002351 .005164 -.000430 r_peak,r_snr = .3993182 9.58477 846 .031 3446 .219 9.58477 .002879 .016102 -.000898 r_peak,r_snr = .5688091 28.72101 946 -.063 3446 -.219 28.72101 .000686 .002233 -.000091 r_peak,r_snr = .5051264 18.10733 1046 -.063 3446 -.125 18.10733 .001049 .003798 -.000214 r_peak,r_snr = .1274963 13.32233 1146 -.125 3446 -.344 13.32233 .007896 .030585 .000629 r_peak,r_snr = .3248027 45.96333 1246 -.031 3446 -.031 45.96333 .001654 .005331 -.000397 r_peak,r_snr = .271991 18.35199 1346 -.344 3446 -.031 18.35199 .004663 .015995 -.002227 r_peak,r_snr = .4174514 25.67429 1446 -.031 3446 -.031 25.67429 .001120 .004355 -.000148 r_peak,r_snr = .2589855 39.01349 1546 -.031 3446 -.031 39.01349 .003059 .005780 -.000329 r_peak,r_snr = .3518328 15.44159 1646 -.156 3446 .219 15.44159 .002508 .007381 -.000752 r_peak,r_snr = .3451971 43.80296 1746 -.094 3446 -.125 43.80296 .001914 .004321 -.000386 r_peak,r_snr = .3836618 41.58163 1846 -.063 3446 -.125 41.58163 .001477 .005382 -.000467 r_peak,r_snr = .3255613 50.96477 1946 -.031 3446 -.031 50.96477 .001982 .005145 -.000415 r_peak,r_snr = .3148797 58.87921 2046 -.125 3446 -.250 58.87921 .002066 .004590 -.000347 At line = 3800 Reading in data.... r_peak,r_snr = .4910291 22.5645 146 -.063 3846 -.031 22.56450 .001000 .001980 -.000018 r_peak,r_snr = .4041396 12.55952 246 -.219 3846 -.031 12.55952 .001854 .004895 -.000234 r_peak,r_snr = .406466 24.22297 346 -.031 3846 -.094 24.22297 .001708 .003259 -.000039 r_peak,r_snr = .4721036 35.24383 446 .000 3846 .063 35.24383 .000933 .002431 -.000107 r_peak,r_snr = .3448157 30.58854 546 -.125 3846 .000 30.58854 .001908 .003839 -.000239 r_peak,r_snr = .2907235 12.3973 646 .250 3846 -.156 12.39730 .004569 .008102 .000141 r_peak,r_snr = .2962522 17.72093 746 -.031 3846 -.250 17.72093 .003216 .007669 -.000683 r_peak,r_snr = .3564016 27.0731 846 -.031 3846 .000 27.07310 .001930 .004131 -.000047 r_peak,r_snr = .2246696 26.26561 946 .000 3846 -.125 26.26561 .003771 .009683 -.000775 r_peak,r_snr = .4783773 13.79952 1046 .031 3846 -.031 13.79952 .001428 .008443 -.000071 r_peak,r_snr = .4966198 17.72648 1146 .031 3846 -.250 17.72648 .001211 .004615 -.000263 r_peak,r_snr = .4477746 10.23803 1246 -.125 3846 .313 10.23803 .001424 .008816 -.000488 r_peak,r_snr = .3634312 36.14569 1346 -.125 3846 -.156 36.14569 .002016 .004503 -.000257 r_peak,r_snr = .4466176 8.26719 1446 -.125 3846 -.219 8.26719 .001984 .006454 -.000374 r_peak,r_snr = .2786281 15.438 1546 -.063 3846 -.219 15.43800 .004003 .007799 -.001242 r_peak,r_snr = .3348225 22.75841 1646 -.125 3846 -.125 22.75841 .002128 .007910 -.000171 r_peak,r_snr = .4572017 19.21786 1746 -.063 3846 -.156 19.21786 .001333 .006039 -.000221 r_peak,r_snr = .3291264 28.16219 1846 -.250 3846 -.188 28.16219 .002496 .006118 -.000476 r_peak,r_snr = .4446206 12.96676 1946 -.063 3846 -.063 12.96676 .001906 .004013 -.000339 r_peak,r_snr = .3093669 39.21067 2046 -.156 3846 -.094 39.21067 .002237 .004421 -.000298 At line = 4200 Reading in data.... r_peak,r_snr = .41914 33.04105 146 -.063 4246 .094 33.04105 .001393 .002276 -.000060 r_peak,r_snr = .1919325 32.57313 246 -.188 4246 -.125 32.57313 .004641 .007061 -.000703 r_peak,r_snr = .2360952 24.38583 346 -.125 4246 -.281 24.38583 .003031 .007078 -.000669 r_peak,r_snr = .3215389 44.22438 446 -.094 4246 -.094 44.22438 .001657 .003164 -.000360 r_peak,r_snr = .5868347 24.65795 546 -.375 4246 -.188 24.65795 .000794 .001229 -.000107 r_peak,r_snr = .2487518 38.60883 646 -.063 4246 -.125 38.60883 .003380 .005771 -.000027 r_peak,r_snr = .1415739 15.43001 746 .000 4246 -.094 15.43001 .006785 .030129 .001804 r_peak,r_snr = .3904698 20.88925 846 .063 4246 -.156 20.88925 .001884 .004244 -.000221 r_peak,r_snr = .4643583 10.66146 946 .031 4246 -.156 10.66146 .001937 .006876 -.000742 r_peak,r_snr = .4282691 15.35551 1046 -.156 4246 -.063 15.35551 .001871 .005500 -.000616 r_peak,r_snr = .4366207 20.19794 1146 -.094 4246 -.125 20.19794 .001555 .005374 -.000484 r_peak,r_snr = .5096523 9.07795 1246 .094 4246 -.031 9.07795 .001667 .004784 -.000319 r_peak,r_snr = .3694069 11.7384 1346 .063 4246 .188 11.73840 .003284 .009207 .000443 r_peak,r_snr = .4306401 22.98967 1446 .000 4246 .000 22.98967 .001431 .004651 -.000300 r_peak,r_snr = .4505855 8.63746 1546 .094 4246 -.094 8.63746 .002049 .005084 -.000313 r_peak,r_snr = .2222113 6.29603 1646 -.188 4246 -.094 6.29603 .016970 .034344 -.010626 r_peak,r_snr = .2062158 13.48537 1746 .063 4246 .719 13.48537 .007301 .064398 -.002428 r_peak,r_snr = .3330311 17.94758 1846 -.125 4246 -.156 17.94758 .002392 .017311 -.000512 r_peak,r_snr = .4353802 10.28854 1946 .000 4246 -.125 10.28854 .002147 .006750 .000132 r_peak,r_snr = .4827438 13.63707 2046 -.031 4246 .031 13.63707 .001456 .003122 -.000047 At line = 4600 Reading in data.... r_peak,r_snr = .5995076 10.2484 146 -.094 4646 .063 10.24840 .000901 .001677 -.000063 r_peak,r_snr = .1875956 36.51287 246 .063 4646 -.094 36.51287 .006379 .011027 -.001408 r_peak,r_snr = .2671279 51.96201 346 -.063 4646 -.094 51.96201 .002877 .004097 -.000019 r_peak,r_snr = .3116052 124.9048 446 -.063 4646 -.031 124.90479 .001446 .001996 -.000069 r_peak,r_snr = .2183143 54.67128 546 -.031 4646 -.156 54.67128 .003279 .005744 -.000348 r_peak,r_snr = .1258474 20.89093 646 -.219 4646 -.188 20.89093 .008204 .032550 .003024 r_peak,r_snr = .2494344 19.89334 746 -.063 4646 .063 19.89334 .003481 .009178 -.000957 r_peak,r_snr = .4377337 11.23697 846 .156 4646 .188 11.23697 .002642 .008235 -.000695 r_peak,r_snr = .360879 10.3838 946 -.094 4646 .000 10.38380 .002354 .006183 -.000418 r_peak,r_snr = .2250689 41.20221 1046 -.156 4646 -.094 41.20221 .003624 .009692 -.000440 r_peak,r_snr = .3946367 16.9211 1146 -.094 4646 -.344 16.92110 .001923 .009711 .000221 r_peak,r_snr = .3690754 11.4093 1246 .031 4646 -.125 11.40930 .001955 .006296 -.000578 r_peak,r_snr = .4471665 12.49717 1346 .063 4646 .031 12.49717 .001861 .010251 -.000313 r_peak,r_snr = .557957 13.51776 1446 -.156 4646 -.219 13.51776 .001044 .003292 -.000264 r_peak,r_snr = .3620545 22.71791 1546 -.188 4646 .063 22.71791 .002416 .005740 -.000430 r_peak,r_snr = .6076425 3.18056 1646 .281 4646 .250 3.18055 .003072 .016560 -.002839 r_peak,r_snr = .1403921 15.02149 1746 -.375 4646 -.375 15.02149 .012937 .019444 -.002558 r_peak,r_snr = .3101783 25.33062 1846 -.094 4646 -.063 25.33062 .002138 .011364 -.000232 r_peak,r_snr = .3374172 32.76133 1946 .125 4646 -.125 32.76133 .001759 .005505 -.000044 r_peak,r_snr = .1962341 30.93976 2046 .094 4646 -.125 30.93976 .003827 .006966 -.000548 At line = 5000 Reading in data.... r_peak,r_snr = .6132499 9.78007 146 -.063 5046 .219 9.78007 .000849 .002055 -.000017 r_peak,r_snr = .1860671 7.49324 246 -.156 5046 -.031 7.49324 .010979 .014617 .002291 r_peak,r_snr = .443561 35.95843 346 -.125 5046 -.063 35.95843 .000975 .002368 -.000066 r_peak,r_snr = .3228276 106.1047 446 -.250 5046 -.094 106.10474 .001622 .002334 -.000147 r_peak,r_snr = .4885059 17.84267 546 -.156 5046 .000 17.84267 .001360 .002352 -.000043 r_peak,r_snr = .3631071 10.4187 646 -.094 5046 -.250 10.41870 .002333 .005377 -.000303 r_peak,r_snr = .2132763 6.12032 746 -.094 5046 .156 6.12032 .016961 .499285 -.022388 r_peak,r_snr = .3183281 11.3945 846 .000 5046 .063 11.39450 .004436 .010474 -.000923 r_peak,r_snr = .49418 6.72157 946 -.156 5046 -.125 6.72157 .002271 .010592 -.001189 r_peak,r_snr = .14252 9.25107 1046 .000 5046 -.094 9.25107 .013870 .024136 -.000217 r_peak,r_snr = .2131974 21.6471 1146 -.094 5046 -.031 21.64710 .003649 .035203 -.000969 r_peak,r_snr = .3747052 8.77045 1246 -.031 5046 -.031 8.77045 .004106 .008591 -.000633 r_peak,r_snr = .4777026 10.56695 1346 -.188 5046 -.063 10.56695 .001636 .004028 -.000354 r_peak,r_snr = .3150482 15.93753 1446 .156 5046 .469 15.93753 .003026 .022903 -.001684 r_peak,r_snr = .4424396 16.11321 1546 -.063 5046 -.063 16.11321 .001702 .004575 -.000068 r_peak,r_snr = .2590769 37.38993 1646 -.188 5046 -.125 37.38993 .002620 .008660 -.000249 r_peak,r_snr = .3731982 16.42252 1746 -.188 5046 .094 16.42252 .002519 .005613 -.000306 r_peak,r_snr = .2934602 29.47691 1846 -.125 5046 -.156 29.47691 .002324 .005178 -.000256 r_peak,r_snr = .4146703 16.8414 1946 -.156 5046 -.219 16.84140 .002023 .006692 -.000770 r_peak,r_snr = .2882825 19.85053 2046 -.156 5046 .125 19.85053 .003021 .005624 -.000225 At line = 5400 Reading in data.... r_peak,r_snr = .6110392 11.68015 146 -.031 5446 -.063 11.68015 .000857 .001965 -.000073 r_peak,r_snr = .1742875 27.98641 246 -.156 5446 -.344 27.98641 .006840 .013080 -.000292 r_peak,r_snr = .2846286 37.63823 346 -.094 5446 -.125 37.63823 .002625 .004385 -.000647 r_peak,r_snr = .121675 5.89282 446 .219 5446 .156 5.89282 .028600 .024235 -.011467 r_peak,r_snr = .2413787 39.05837 546 -.063 5446 -.094 39.05837 .003024 .006783 -.000489 r_peak,r_snr = .1169212 7.96528 646 -1.625 5446 2.656 7.96528 .114627 .049901 -.004021 r_peak,r_snr = .2147657 41.01746 746 .094 5446 -.063 41.01746 .003944 .006971 -.000962 r_peak,r_snr = .2463797 20.19429 846 .250 5446 -.250 20.19429 .004730 .008204 -.000529 r_peak,r_snr = .4606682 13.86506 946 .000 5446 .156 13.86506 .001613 .005392 -.000434 r_peak,r_snr = .2112119 24.14824 1046 -.031 5446 -.063 24.14824 .004560 .009703 .000010 r_peak,r_snr = .4939712 6.93455 1146 .031 5446 .000 6.93455 .001760 .004240 -.000316 r_peak,r_snr = .2492674 18.29806 1246 -.094 5446 .188 18.29806 .005806 .016795 -.001955 r_peak,r_snr = .2207494 7.52872 1346 -.250 5446 -.156 7.52872 .005855 .023406 -.001250 r_peak,r_snr = .1761865 22.24262 1446 -.094 5446 -.219 22.24262 .006982 .033980 .000930 r_peak,r_snr = .4433341 16.59481 1546 -.094 5446 -.281 16.59481 .001529 .004429 -.000127 r_peak,r_snr = .3674082 14.6747 1646 .250 5446 .344 14.67470 .003029 .007519 -.000415 r_peak,r_snr = .2546092 34.75492 1746 .031 5446 -.031 34.75492 .002733 .008023 .000023 r_peak,r_snr = .4663447 8.62502 1846 -.031 5446 .000 8.62502 .002206 .007558 -.000815 r_peak,r_snr = .375212 14.76936 1946 -.063 5446 -.188 14.76936 .001936 .005013 -.000360 r_peak,r_snr = .3465797 20.00949 2046 -.125 5446 .188 20.00949 .002308 .015501 .000375 At line = 5800 Reading in data.... r_peak,r_snr = .5139177 18.34471 146 -.031 5846 -.063 18.34471 .001079 .001582 -.000004 r_peak,r_snr = .3209334 12.60834 246 -.156 5846 -.063 12.60834 .002866 .011070 -.000559 r_peak,r_snr = .233747 54.43736 346 -.094 5846 -.094 54.43736 .002922 .004667 -.000603 r_peak,r_snr = .1552601 12.21789 446 -.188 5846 .063 12.21789 .009032 .026589 -.004178 r_peak,r_snr = .2309927 45.14863 546 -.094 5846 -.063 45.14863 .002704 .007188 -.000554 r_peak,r_snr = .3081567 10.20093 646 -.094 5846 -.531 10.20093 .002958 .021081 -.000588 r_peak,r_snr = .2677788 27.61877 746 -.094 5846 -.031 27.61877 .002804 .008492 -.000534 r_peak,r_snr = .4540138 10.1855 846 .094 5846 .188 10.18550 .002325 .009736 -.000921 r_peak,r_snr = .4106807 6.25519 946 -.125 5846 -.688 6.25519 .003039 .055082 -.004630 r_peak,r_snr = .402478 16.4999 1046 -.063 5846 -.063 16.49990 .002005 .007020 -.000469 r_peak,r_snr = .3519091 7.96629 1146 -.219 5846 .000 7.96629 .005168 .015314 .001191 r_peak,r_snr = .2593113 8.3303 1246 -1.156 5846 -9.688 8.33030 .016656 .059676 -.000608 r_peak,r_snr = .4683524 9.38875 1346 -.125 5846 .063 9.38875 .002401 .008356 .000458 r_peak,r_snr = .3994035 15.35689 1446 -.031 5846 .000 15.35689 .002257 .005709 -.000267 r_peak,r_snr = .4464344 13.33055 1546 -.188 5846 -.344 13.33055 .001443 .007383 -.000486 r_peak,r_snr = .4093188 12.31258 1646 -.094 5846 -.031 12.31258 .002248 .013955 -.000963 r_peak,r_snr = .431889 18.18641 1746 .031 5846 .094 18.18641 .001514 .005542 -.000248 r_peak,r_snr = .3962673 10.61148 1846 -.156 5846 -.063 10.61148 .002582 .016685 .000147 r_peak,r_snr = .5056134 17.16573 1946 -.219 5846 .219 17.16573 .001384 .006113 -.000443 r_peak,r_snr = .3073158 30.78237 2046 -.063 5846 -.188 30.78237 .002444 .005064 -.000273 ************************************************* ***** 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 95036 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 95036 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 95036 12.00 6.00 12.00 0.79 0.24 -1.44 132.945 1 125.236 1 84.352 87.90 82.70 95.30 139.46 0.00 0.00 0.00 87.30 0.59 -1.19 -0.85 132.01 122.933 1 84.357 83.40 77.80 88.70 7.94 0.00 0.00 0.00 82.36 scanning calib for 95001 to 95999 block= 4 95036 FOUND CALIB SET 95036 11.0 11.0 11.0 11.0 0.79 0.24 -0.45 132.531 1 125.134 1 85.496 87.90 82.70 96.00 -23.26 - 0.00 0.00 0.00 90.55 0.59 -1.19 -.85 .0 -.85 .0 133.112 1 123.444 1 84.2 83.975 84.2 83.975 83.30 78.80 90.6 92.7 90.3 92.9 4.497 77.38 61.663 0.00 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: -23.9 -186.65 -187.675 -186.35 -187.875 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: -23.90 deg Receiver phase difference is -56.30 deg Transmitter phase difference is -80.20 deg Cable phase difference is 61.66 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: /data11/airops/hd5255.log non-existent Mon Apr 20 18:32:03 PDT 1998 Mon Apr 20 18:32:03 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 after 1994. J2000 time = -141162902.260542 GPS J2000 time = -141162903.781368 Message 1 Time = -141162902.260542 INS Time = 2.061376 Roll angle = -.1043701171875 Pitch angle = .977783203125 Heading angle = -132.533569335938 Long. acc = .14 Lat. acc = -.22 Norm. acc = -9.76 East vel. = -154.024 North vel. = -152.731 Up vel. = .184 True Grnd Spd = 216.90625 Altitude = 8349.0 Latitude = 42.496731961146 Longitude = -85.4078897740692 Message 6 Week = 809 GPS Time = -141162903.781368 GDOP = 2.078125 PDOP = 1.875 HDOP = 1.171875 VDOP = 1.46875 TDOP = .875 Spherical Acc = 9.0 Time Acc = 1.000000000000000E-08 GPS Lat = 42.4987210627829 GPS Lon = -85.4051979101813 GPS Alt = 8352.0 GPS East Vel = -154.05 GPS North Vel = -152.67 GPS Up Vel = .17 Message 3 Del INU Time = 1.541376 Del vel east = .0 Del vel north = 1.464843750000000E-03 Del vel up = 3.662109375000000E-02 Del pos east = .625 Del pos north = .625 Del pos up = .375 Message 4 Sigma Pos x = 1.375 Sigma Pos y = 1.375 Sigma Pos z = 1.875 Sigma Vel x = 8.911132812500000E-03 Sigma Vel y = 8.300781250000000E-03 Sigma Vel z = 1.000976562500000E-02 Message 7 Satellites used = 15 24 9 12 2 12 Retrived Honeywell data... 2421 Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 15:50:07 FC=2,926,000 IDR=98900 drft -2.7; very stable pla tform; IGI looks greatdrft 3.8; very smooth ride; TurboRogue lo oks good (recording on 20MB flashcard); No P-band todayr, Micha l Kobrick, Timothy William MillerLori Ann Carrico, Timothy W. - - - - - - - - - - - - - - - - - - - - - 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: 95036 95036 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5255 prod ID1:*5255*5255* chrp_delay from subcomm header: 27.2 Parameter header created .. >> Record # : 128 >> GPS Stuff = 2.20 2 4 7 9 14 15 >> start range = 8604.0448 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 14 0 >> ratn_phv = 0 8 0 >> ratn_pvh = 0 8 0 >> ratn_pvv = 0 14 0 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 6 10 >> ratn_chv = 0 0 10 >> ratn_cvh = 0 0 10 >> ratn_cvv = 0 6 10 >> rcvr_chh = { >> rcvr_chv = À >> rcvr_cvh = >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 1 >> chrp_bnd = 40 >> chrp_len = 5 >> chrp_mod = DN Done decoding data from header array... Data collected on ==> 12-JUL-1995 Starting and end GPS times for SAR data -141162902.3900 -141162852.8290 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 hdg -132.52926 -132.58850 -132.46765 .0295422 0 trc -134.74824 -134.79265 -134.69738 .0291901 0 tgs 217.02809 216.90625 217.07813 .0370581 0 roll .04948 -.10986 .23071 .0923782 0 pitch .99292 .95581 1.03821 .0204046 0 lati 42.46558 42.43278 42.49872 .0192604 0 loni -85.45035 -85.49504 -85.40520 .0262460 0 latd 42.46875 42.43667 42.50167 .0192710 0 lond -85.44573 -85.49000 -85.40000 .0262127 0 balt 7930.25592 7929.37200 7931.20080 .4155513 0 ralt 8110.58894 8099.14560 8119.87200 4.6359853 0 dpth 1.08750 1.00000 1.10000 .0330719 0 droll .12594 -.10000 .30000 .1155790 0 thd 227.57531 227.50000 227.60000 .0431193 0 dad -2.39594 -2.50000 -2.30000 .0412583 0 latg 42.46370 42.42979 42.49709 .0192560 0 long -85.45201 -85.49823 -85.40655 .0262387 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8273.36050 8270.16992 8276.40039 1.7734458 0 phh_aten 14.00000 14.00000 14.00000 .0000000 0 phv_aten 8.00000 8.00000 8.00000 .0000000 0 pvh_aten 8.00000 8.00000 8.00000 .0000000 0 pvv_aten 14.00000 14.00000 14.00000 .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 16.00000 16.00000 16.00000 .0000000 0 chv_aten 10.00000 10.00000 10.00000 .0000000 0 cvh_aten 10.00000 10.00000 10.00000 .0000000 0 cvv_aten 16.00000 16.00000 16.00000 .0000000 0 hwlat 42.46348 42.43023 42.49673 .0192037 0 hwlon -85.48846 -170.90676 -85.40789 1.7365706 0 hwalt 8351.03642 8349.22516 8352.89639 1.1665454 0 hwev -154.14029 -154.26400 -154.00500 .0754489 0 hwnv -152.79147 -152.94400 -152.64300 .0886686 0 hwuv .02725 -.12200 .20300 .0774307 0 hwroll .04992 -.10437 .23071 .0921317 0 hwpitch .99295 .95581 1.03821 .0204266 0 hwhdg -132.58400 -265.08911 -132.46765 2.6937118 0 hwtrc -134.80388 -269.52070 -134.69738 2.7386649 0 hwtgs 217.02843 216.90625 217.07813 .0365400 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 19955 GPS time for first pulse = -141162902.389752 -141162902.39 New start and number of records = 110 40824 New start and number of blocks = 1 320 GPS trend coefficients = 3.02090345203697 -5.9306088186893 -.136944889265586 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000002 0 hdg -132.52923 -132.58850 -132.46765 .0295817 0 trc -134.74821 -134.79265 -134.69738 .0292329 0 tgs 217.02840 216.90625 217.07813 .0365774 0 roll .04994 -.10986 .23071 .0921602 0 pitch .99295 .95581 1.03821 .0204264 0 delx .25730 .00000 .25737 .0012737 0 lati 42.46558 42.43278 42.49872 .0192604 0 loni -85.45035 -85.49504 -85.40520 .0262460 0 latd 42.46875 42.43667 42.50167 .0192710 0 lond -85.44573 -85.49000 -85.40000 .0262127 0 balt 7930.25592 7929.37200 7931.20080 .4155513 0 ralt 8110.58894 8099.14560 8119.87200 4.6359853 0 dpth 1.08750 1.00000 1.10000 .0330719 0 droll .12594 -.10000 .30000 .1155790 0 thd 227.57531 227.50000 227.60000 .0431193 0 dad -2.39594 -2.50000 -2.30000 .0412583 0 latg 42.46370 42.43116 42.49709 .0192485 0 long -85.45200 -85.49635 -85.40655 .0262286 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8273.36050 8272.82783 8274.07860 .2715525 0 phh_aten 14.00000 14.00000 14.00000 .0000000 0 phv_aten 8.00000 8.00000 8.00000 .0000000 0 pvh_aten 8.00000 8.00000 8.00000 .0000000 0 pvv_aten 14.00000 14.00000 14.00000 .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 16.00000 16.00000 16.00000 .0000000 0 chv_aten 10.00000 10.00000 10.00000 .0000000 0 cvh_aten 10.00000 10.00000 10.00000 .0000000 0 cvv_aten 16.00000 16.00000 16.00000 .0000000 0 hwlat 42.46348 42.43026 42.49670 .0192037 0 hwlon -85.45318 -85.49842 -85.40793 .0261574 0 hwalt 8351.03642 8349.22911 8352.89609 1.1665427 0 hwev -154.14025 -154.26300 -154.00500 .0755532 0 hwnv -152.79137 -152.94300 -152.64400 .0887241 0 hwuv .02725 -.12200 .20300 .0774283 0 hwroll .04979 -.10437 .23071 .0920298 0 hwpitch .99287 .95581 1.03821 .0203724 0 hwhdg -132.52920 -132.58301 -132.46765 .0295404 0 hwtrc -134.74820 -134.79209 -134.69794 .0292408 0 hwtgs 217.02826 216.90625 217.07813 .0367312 0 Finished final analysis of data... Average Barometric Altitude = 7930.25592000003 Average Radar Altitude = 8110.588935000012 Average GPS Altitude = 8273.36049804687 >>Record # : 128 >>GPS Stuff = 2.20 2 4 7 9 1 >>Record # : 0 >>GPS Stuff = Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Enter a name for the peg data file. Positions and Distances Start position = 42.4967038 -85.4079282 8349.229 End position = 42.4302574 -85.4984162 8352.896 Loxodromic Heading (deg) = -134.7629763 Loxodromic Distance (km) = 10481.7973586 Geodesic Heading (deg) = -134.7324194 Geodesic Distance (km) = 10481.7968269 Peg latitude and longitude = 42.4634743 -85.4531783 Peg heading = -134.7384110 Rotation matrix First row = .058480865 -.670421593 .739672141 Second row = -.735386220 -.530012314 -.422248805 Third row = .675120060 -.519251225 -.524014379 Translation vector Vector = 677.58734 -8520.53739 -21047.86870 Local Radius of Curvature = 6376303.368774117 Start and end pulse used = 110 40933 Ellipsoidal delta s (m) = .2567620416650568 Delta s on reference surface = .256762043060028 Miscellaneous Information Start range = 8604.04475 Start ground range = 2871.921514849932 Time orgin = -141162902.389752 Pulse spacing = .2573015776392695 First frame = 3667137 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/cm5255_l.par Enter the raw data file name. /data1/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5255_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-15.9621,.0) (-55.8674,.0) (.0,.0) attenuation (dB): 6.0 Pulse#/64: 1 1057 279.7878 Pulse#/64: 65 1057 472.4814 Pulse#/64: 129 1057 86.14507 Pulse#/64: 193 1057 145.725 Pulse#/64: 257 1057 1182.83 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1057 CalTone Bin offset : -991 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 21.57974Power RMS: 6.57906 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 16.54103Amp. RMS: 19.96851 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -28.8845Phase RMS: 255.9809 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 78.19976 CalTone Power Coherently dB : 21.57974 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 78.19976 Incoherent PW - Coherent PW : 56.62003 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 8109.397 CalTone Amplitude Coherently : 16.54103 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 8092.856 ------------ *** ------------ running time (sec): 126.38 ********** 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/cm5255_l.par Enter the raw data file name. /data1/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5255_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (18.0,.0) (4.0,.0) (12.0,.0) attenuation (dB): .0 Pulse#/64: 1 1057 12.05111 Pulse#/64: 65 1057 556.085 Pulse#/64: 129 1057 225.9503 Pulse#/64: 193 1057 15.6718 Pulse#/64: 257 1057 554.4914 Estimate Caltone : 1358 -----CalTone Estimate Position --- CalTone Bin at : 1358 1057 CalTone Bin offset : -301 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 18.45543Power RMS: 9.01823 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 15.9101Amp. RMS: 31.1445 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 16.82713Phase RMS: 250.5218 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 78.10046 CalTone Power Coherently dB : 18.45543 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 78.10046 Incoherent PW - Coherent PW : 59.64503 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 8039.177 CalTone Amplitude Coherently : 15.9101 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 8023.267 ------------ *** ------------ running time (sec): 128.60 ********** 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/cm5255_l.par Enter the raw data file name. /data1/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5255_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (16.0,.0) (8.0,.0) (31.0,.0) attenuation (dB): .0 Pulse#/64: 1 1057 2.62731 Pulse#/64: 65 1057 690.6078 Pulse#/64: 129 1057 118.2925 Pulse#/64: 193 1057 11.32904 Pulse#/64: 257 1057 185.5211 Estimate Caltone : 1358 -----CalTone Estimate Position --- CalTone Bin at : 1358 1057 CalTone Bin offset : -301 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 17.78664Power RMS: 8.24036 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 13.04209Amp. RMS: 22.7533 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 29.89955Phase RMS: 272.689 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 78.018 CalTone Power Coherently dB : 17.78664 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 78.018 Incoherent PW - Coherent PW : 60.23136 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 7967.513 CalTone Amplitude Coherently : 13.04209 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 7954.471 ------------ *** ------------ running time (sec): 129.31 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) LVV Enter the paramater file name. /data3/airops/cm5255_l.par Enter the raw data file name. /data1/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5255_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 90.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 17125.14 8601.05 1.66551 Caltone frequency = 43.5938 Prediction cal_bin 1057 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-1.99526,.0) (-37.91,.0) (5.98579,.0) attenuation (dB): 6.0 Pulse#/64: 1 1057 30.19158 Pulse#/64: 65 1057 241.8075 Pulse#/64: 129 1057 202.6524 Pulse#/64: 193 1057 18.98313 Pulse#/64: 257 1057 697.8513 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1057 CalTone Bin offset : -991 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 21.41628Power RMS: 7.59261 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 19.66168Amp. RMS: 35.44955 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 54.4086Phase RMS: 248.1502 max_bin with Incoherent averaging: 1057 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 77.91196 CalTone Power Coherently dB : 21.41628 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 77.91196 Incoherent PW - Coherent PW : 56.49568 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 7854.707 CalTone Amplitude Coherently : 19.66168 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 7835.045 ------------ *** ------------ running time (sec): 129.13 ********** 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: -2.82246 8.44318E-05 z fit: constant and linear terms: -.177758 9.67489E-05 y and z standard deviations (meters) .8455271 .2403404 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 = .1304728 .1296301 .1320852 .1353164 Differences = -1.40336E-03 -2.24608E-03 2.09004E-04 3.44025E-03 PATCH NUMER 2 First line = 3493 Averages = .1311115 .1347749 .1346769 .1345187 Differences = -2.65902E-03 1.00434E-03 9.06333E-04 7.48172E-04 PATCH NUMER 3 First line = 6985 Averages = .1350803 .1340824 .1345909 .1326888 Differences = 9.69693E-04 -2.81930E-05 4.80264E-04 -1.42181E-03 PATCH NUMER 4 First line = 10477 Averages = .1349448 .1329811 .1323784 .1323759 Differences = 1.77477E-03 -1.88947E-04 -7.91699E-04 -7.94172E-04 PATCH NUMER 5 First line = 13969 Averages = .1325985 .1324418 .1317331 .1311103 Differences = 6.27607E-04 4.70847E-04 -2.37793E-04 -8.60691E-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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24226 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .54 .52 -.23 Receive leverarm x,y,z = .54 .52 -.23 Name of raw data file? /data1/airops/l_hh Name of the mocomp data file? /data3/airops/cm5255_l.mocomph Output file name? /data3/airops/cm5255_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 = 5.374 Processing 5 blocks Processing block number 1 reference line: 4096 5.374 seconds. Range compression done, time = 199.842 Motion comp. coeff. calculated, time = 199.920 Motion comp. added to patch, time = 368.107 Doppler estimation done, time = 368.108 Azimuth compression starting, time : 368.380 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1162.306 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 1184.299 seconds. Range compression done, time = 1370.108 Motion comp. coeff. calculated, time = 1370.296 Motion comp. added to patch, time = 1530.691 Doppler estimation done, time = 1530.691 Azimuth compression starting, time : 1531.025 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2319.561 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 2342.981 seconds. Range compression done, time = 2528.727 Motion comp. coeff. calculated, time = 2528.985 Motion comp. added to patch, time = 2687.301 Doppler estimation done, time = 2687.301 Azimuth compression starting, time : 2687.525 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3482.072 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 3506.462 seconds. Range compression done, time = 3692.075 Motion comp. coeff. calculated, time = 3692.353 Motion comp. added to patch, time = 3850.688 Doppler estimation done, time = 3850.688 Azimuth compression starting, time : 3850.903 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 4642.743 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 4669.950 seconds. Range compression done, time = 4851.377 Motion comp. coeff. calculated, time = 4851.504 Motion comp. added to patch, time = 5008.136 Doppler estimation done, time = 5008.136 Azimuth compression starting, time : 5008.411 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 5798.208 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_l.hh Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 = 1066 1067 3163 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3162 Processing block number 2 3163 4568 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4567 4568 6664 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6663 Processing block number 3 6664 8059 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8058 8059 10155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10154 Processing block number 4 10155 11548 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11547 11548 13644 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13643 Processing block number 5 1356 1068 -3 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13643 1356 3164 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15451 Writing the last 2843 lines Total # of output lines = 18294 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24226 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .54 .52 -.23 Receive leverarm x,y,z = .54 .52 -.23 Name of raw data file? /data1/airops/l_hv Name of the mocomp data file? /data3/airops/cm5255_l.mocomph Output file name? /data3/airops/cm5255_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 = 5.408 Processing 5 blocks Processing block number 1 reference line: 4096 5.408 seconds. Range compression done, time = 158.049 Motion comp. coeff. calculated, time = 158.177 Motion comp. added to patch, time = 322.813 Doppler estimation done, time = 322.813 Azimuth compression starting, time : 323.136 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1104.262 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 1125.975 seconds. Range compression done, time = 1269.430 Motion comp. coeff. calculated, time = 1269.507 Motion comp. added to patch, time = 1427.522 Doppler estimation done, time = 1427.522 Azimuth compression starting, time : 1427.847 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2213.249 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 2236.740 seconds. Range compression done, time = 2381.785 Motion comp. coeff. calculated, time = 2381.963 Motion comp. added to patch, time = 2539.810 Doppler estimation done, time = 2539.810 Azimuth compression starting, time : 2540.053 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3320.647 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 3344.856 seconds. Range compression done, time = 3489.603 Motion comp. coeff. calculated, time = 3489.780 Motion comp. added to patch, time = 3648.157 Doppler estimation done, time = 3648.157 Azimuth compression starting, time : 3648.630 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 4440.868 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 4467.939 seconds. Range compression done, time = 4613.249 Motion comp. coeff. calculated, time = 4613.427 Motion comp. added to patch, time = 4770.053 Doppler estimation done, time = 4770.054 Azimuth compression starting, time : 4770.299 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 5557.104 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_l.hv Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 = 1066 1067 3163 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3162 Processing block number 2 3163 4568 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4567 4568 6664 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6663 Processing block number 3 6664 8059 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8058 8059 10155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10154 Processing block number 4 10155 11548 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11547 11548 13644 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13643 Processing block number 5 1356 1068 -3 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13643 1356 3164 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15451 Writing the last 2843 lines Total # of output lines = 18294 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24226 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .54 .52 -.23 Receive leverarm x,y,z = .54 .52 -.23 Name of raw data file? /data1/airops/l_vh Name of the mocomp data file? /data3/airops/cm5255_l.mocompv Output file name? /data3/airops/cm5255_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 = 5.866 Processing 5 blocks Processing block number 1 reference line: 4096 5.866 seconds. Range compression done, time = 157.642 Motion comp. coeff. calculated, time = 157.820 Motion comp. added to patch, time = 321.708 Doppler estimation done, time = 321.709 Azimuth compression starting, time : 321.931 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1143.217 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 1164.688 seconds. Range compression done, time = 1308.482 Motion comp. coeff. calculated, time = 1308.560 Motion comp. added to patch, time = 1462.477 Doppler estimation done, time = 1462.477 Azimuth compression starting, time : 1462.664 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2285.909 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 2309.361 seconds. Range compression done, time = 2456.306 Motion comp. coeff. calculated, time = 2456.444 Motion comp. added to patch, time = 2615.505 Doppler estimation done, time = 2615.505 Azimuth compression starting, time : 2615.748 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3431.502 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 3455.789 seconds. Range compression done, time = 3597.052 Motion comp. coeff. calculated, time = 3597.190 Motion comp. added to patch, time = 3752.061 Doppler estimation done, time = 3752.062 Azimuth compression starting, time : 3752.392 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 4555.012 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 4582.152 seconds. Range compression done, time = 4724.905 Motion comp. coeff. calculated, time = 4725.045 Motion comp. added to patch, time = 4880.911 Doppler estimation done, time = 4880.912 Azimuth compression starting, time : 4881.082 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 5681.749 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_l.vh Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 = 1066 1067 3163 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3162 Processing block number 2 3163 4568 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4567 4568 6664 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6663 Processing block number 3 6664 8059 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8058 8059 10155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10154 Processing block number 4 10155 11548 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11547 11548 13644 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13643 Processing block number 5 1356 1068 -3 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13643 1356 3164 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15451 Writing the last 2843 lines Total # of output lines = 18294 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/cm5255_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) = 8601.05 Slant range pixel spacing (m) = 3.33103 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24226 ADC sampling frequency (MHz) = 90.0 Pulse length (microseconds) = 5.0 Chirp bandwidth (MHz) = 40.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 238.6 Transmit leverarm x,y,z = .54 .52 -.23 Receive leverarm x,y,z = .54 .52 -.23 Name of raw data file? /data1/airops/l_vv Name of the mocomp data file? /data3/airops/cm5255_l.mocompv Output file name? /data3/airops/cm5255_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 = 5.389 Processing 5 blocks Processing block number 1 reference line: 4096 5.389 seconds. Range compression done, time = 197.006 Motion comp. coeff. calculated, time = 197.185 Motion comp. added to patch, time = 358.830 Doppler estimation done, time = 358.831 Azimuth compression starting, time : 359.054 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1134.859 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 1156.446 seconds. Range compression done, time = 1339.859 Motion comp. coeff. calculated, time = 1340.037 Motion comp. added to patch, time = 1496.834 Doppler estimation done, time = 1496.834 Azimuth compression starting, time : 1497.063 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2277.037 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 2300.356 seconds. Range compression done, time = 2487.309 Motion comp. coeff. calculated, time = 2487.587 Motion comp. added to patch, time = 2643.240 Doppler estimation done, time = 2643.240 Azimuth compression starting, time : 2643.480 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3423.057 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 3447.227 seconds. Range compression done, time = 3631.023 Motion comp. coeff. calculated, time = 3631.201 Motion comp. added to patch, time = 3786.491 Doppler estimation done, time = 3786.491 Azimuth compression starting, time : 3786.719 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 4567.937 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 4595.125 seconds. Range compression done, time = 4779.731 Motion comp. coeff. calculated, time = 4780.009 Motion comp. added to patch, time = 4936.107 Doppler estimation done, time = 4936.107 Azimuth compression starting, time : 4936.286 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 5716.987 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5255_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/cm5255_l.vv Name of the doppler parameter file? /data3/airops/cm5255_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/cm5255_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 = 1066 1067 3163 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3162 Processing block number 2 3163 4568 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4567 4568 6664 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6663 Processing block number 3 6664 8059 -1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8058 8059 10155 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10154 Processing block number 4 10155 11548 -3 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11547 11548 13644 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13643 Processing block number 5 1356 1068 -3 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13643 1356 3164 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15451 Writing the last 2843 lines Total # of output lines = 18294 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: 1016 *************************************** ***** ***** ***** 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 95036 writing parheadL writing parhead 40.0 writing parhead 78.1 writing parhead 78.0 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = .9234664 -12.1002 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 .162 .264 .449 .682 .581 .428 .387 .301 .192 .172 .250 .421 .677 .621 .434 .354 .293 .195 .158 .223 .428 .724 .678 .427 .309 .271 .187 .137 .223 .491 .872 .842 .508 .317 .255 .175 .130 .251 .540 .972 1.000 .639 .396 .281 .183 .140 .273 .504 .852 .908 .649 .469 .330 .197 .159 .297 .468 .657 .648 .523 .458 .339 .190 .163 .324 .487 .560 .478 .422 .395 .307 .189 .155 .326 .507 .561 .448 .388 .330 .266 .207 r_peak,r_snr = .4917049 5.78825 Correlation Surface of oversamples image at 146 3046 .309 .447 .622 .769 .795 .677 .513 .396 .338 .309 .465 .661 .819 .850 .729 .550 .412 .337 .321 .492 .707 .878 .914 .794 .603 .444 .349 .338 .517 .744 .927 .972 .856 .657 .483 .369 .350 .525 .752 .944 1.000 .891 .694 .514 .392 .351 .509 .720 .911 .976 .878 .693 .524 .408 .345 .477 .657 .829 .894 .806 .643 .500 .406 .341 .447 .589 .725 .774 .694 .556 .447 .385 .345 .431 .538 .632 .652 .576 .465 .386 .352 146 .406 3046 .031 5.78825 .005504 .012296 -.002065 Correlation Surface at 246 3046 .462 .425 .405 .603 .749 .532 .390 .422 .363 .494 .538 .532 .672 .774 .560 .401 .439 .381 .512 .615 .612 .716 .875 .738 .533 .484 .384 .484 .582 .619 .753 .993 .891 .643 .483 .336 .465 .526 .605 .777 1.000 .870 .629 .437 .294 .477 .523 .625 .784 .880 .760 .602 .388 .289 .471 .519 .644 .759 .728 .667 .588 .338 .294 .459 .478 .604 .696 .650 .632 .550 .290 .281 .490 .453 .531 .624 .647 .633 .522 .278 .255 r_peak,r_snr = .3733338 2.47125 Correlation Surface of oversamples image at 246 3046 .489 .557 .644 .697 .658 .553 .454 .408 .413 .503 .579 .693 .783 .773 .679 .569 .499 .474 .507 .597 .743 .874 .892 .802 .675 .574 .512 .503 .607 .776 .937 .978 .887 .741 .611 .518 .499 .608 .783 .950 1.000 .913 .758 .611 .501 .497 .602 .762 .910 .956 .882 .738 .591 .479 .497 .592 .723 .835 .867 .812 .698 .570 .464 .495 .580 .678 .747 .760 .724 .649 .552 .457 .485 .564 .634 .667 .660 .637 .598 .530 .446 246 .406 3046 4.313 2.47125 .016664 .101092 .015704 Correlation Surface at 346 3046 .617 .672 .777 .877 .874 .824 .830 .814 .726 .634 .672 .777 .895 .919 .869 .859 .827 .752 .627 .665 .770 .921 .951 .907 .871 .809 .782 .600 .657 .768 .971 .982 .920 .875 .806 .820 .590 .666 .758 .965 1.000 .927 .878 .812 .843 .591 .674 .756 .899 .987 .962 .905 .817 .841 .582 .652 .753 .853 .964 .974 .937 .838 .827 .570 .636 .761 .882 .950 .946 .937 .868 .825 .568 .647 .777 .915 .925 .900 .908 .879 .849 r_peak,r_snr = .5636324 1.58343 Correlation Surface of oversamples image at 346 3046 .747 .830 .919 .959 .928 .874 .846 .841 .824 .740 .834 .936 .984 .955 .895 .859 .847 .824 .731 .830 .940 1.000 .981 .922 .878 .857 .828 .724 .817 .926 .997 .999 .952 .905 .873 .836 .722 .799 .897 .973 1.000 .977 .936 .895 .847 .728 .784 .862 .936 .982 .988 .961 .918 .859 .738 .779 .837 .901 .955 .982 .973 .933 .871 .751 .787 .832 .883 .931 .963 .966 .935 .875 .762 .805 .846 .885 .916 .936 .941 .918 .866 346 .750 3046 -.031 1.58343 .090589 .597927 -.190743 Correlation Surface at 446 3046 .066 .117 .232 .463 .689 .651 .336 .207 .197 .071 .134 .285 .512 .766 .705 .347 .178 .148 .065 .128 .307 .560 .854 .743 .325 .153 .106 .067 .123 .297 .610 .966 .784 .309 .137 .094 .074 .131 .271 .599 1.000 .759 .276 .109 .091 .068 .119 .232 .513 .871 .650 .234 .085 .087 .071 .098 .198 .465 .737 .565 .224 .086 .088 .085 .106 .192 .453 .639 .483 .224 .089 .083 .089 .128 .212 .418 .523 .387 .207 .085 .073 r_peak,r_snr = .4016064 7.86789 Correlation Surface of oversamples image at 446 3046 .284 .384 .509 .659 .787 .810 .682 .466 .273 .297 .401 .534 .700 .841 .858 .705 .466 .264 .302 .417 .569 .757 .905 .902 .720 .462 .256 .301 .428 .607 .821 .969 .933 .719 .449 .245 .290 .424 .625 .860 1.000 .930 .691 .422 .227 .271 .402 .606 .847 .979 .890 .642 .385 .206 .248 .370 .560 .788 .913 .822 .585 .350 .189 .228 .340 .510 .710 .823 .743 .532 .322 .179 .216 .322 .474 .643 .737 .671 .490 .306 .176 446 .094 3046 .594 7.86789 .004202 .047305 .000571 Correlation Surface at 546 3046 .081 .191 .296 .490 .647 .534 .291 .151 .085 .084 .225 .373 .551 .716 .584 .296 .125 .065 .091 .227 .440 .660 .821 .631 .279 .098 .045 .115 .234 .458 .761 .938 .676 .267 .081 .032 .129 .233 .443 .795 1.000 .699 .268 .079 .028 .128 .218 .417 .755 .981 .700 .277 .088 .029 .130 .224 .417 .688 .888 .678 .286 .092 .027 .133 .247 .466 .663 .765 .633 .274 .084 .022 .122 .250 .519 .715 .697 .572 .250 .077 .020 r_peak,r_snr = .5332647 6.57646 Correlation Surface of oversamples image at 546 3046 .283 .416 .578 .726 .777 .670 .435 .203 .060 .306 .454 .632 .801 .873 .766 .503 .235 .069 .319 .484 .678 .864 .953 .850 .564 .264 .077 .318 .498 .706 .900 .998 .902 .606 .286 .085 .304 .491 .707 .901 1.000 .913 .622 .298 .091 .282 .466 .681 .868 .961 .884 .613 .300 .094 .263 .434 .636 .811 .896 .828 .585 .293 .094 .253 .405 .586 .744 .819 .757 .541 .276 .089 .255 .389 .544 .681 .744 .683 .489 .250 .079 546 .063 3046 -.719 6.57646 .002852 .065458 -.001186 Correlation Surface at 746 3046 .266 .322 .473 .695 .828 .705 .478 .311 .281 .263 .322 .468 .683 .829 .711 .460 .303 .283 .252 .310 .445 .670 .855 .726 .427 .287 .308 .250 .309 .430 .687 .936 .798 .464 .306 .332 .244 .322 .437 .720 1.000 .875 .570 .376 .354 .229 .329 .446 .709 .950 .862 .620 .440 .376 .224 .314 .440 .662 .830 .763 .565 .434 .391 .238 .293 .436 .642 .754 .687 .504 .402 .397 .245 .287 .453 .682 .743 .657 .488 .366 .377 r_peak,r_snr = .5581224 3.05529 Correlation Surface of oversamples image at 746 3046 .455 .564 .704 .812 .815 .713 .563 .422 .323 .460 .584 .747 .879 .884 .765 .591 .428 .316 .466 .607 .794 .945 .952 .820 .634 .459 .334 .470 .625 .827 .988 .994 .862 .680 .507 .375 .468 .629 .835 .993 1.000 .878 .713 .555 .423 .461 .618 .812 .959 .969 .865 .724 .585 .461 .451 .593 .767 .894 .909 .827 .708 .586 .475 .441 .565 .710 .814 .830 .767 .667 .560 .466 .438 .542 .657 .735 .745 .696 .611 .518 .441 746 .250 3046 -.188 3.05529 .003443 .030073 -.000908 Correlation Surface at 846 3046 .264 .307 .436 .629 .638 .548 .496 .534 .589 .272 .356 .535 .746 .715 .574 .514 .498 .472 .216 .339 .560 .895 .857 .587 .480 .441 .357 .176 .266 .490 .943 .984 .667 .537 .495 .345 .187 .223 .409 .853 1.000 .744 .619 .633 .414 .222 .258 .397 .760 .936 .690 .584 .705 .497 .234 .353 .480 .778 .886 .633 .523 .630 .497 .218 .420 .592 .861 .888 .648 .538 .500 .405 .225 .397 .595 .835 .865 .674 .589 .425 .305 r_peak,r_snr = .2839503 3.54729 Correlation Surface of oversamples image at 846 3046 .476 .534 .608 .725 .815 .807 .727 .627 .530 .516 .598 .689 .810 .897 .883 .782 .654 .535 .503 .614 .737 .870 .956 .938 .822 .668 .533 .446 .582 .745 .902 .991 .976 .854 .684 .540 .368 .517 .714 .900 1.000 .993 .876 .705 .562 .290 .438 .652 .857 .969 .975 .879 .721 .588 .233 .365 .572 .780 .903 .927 .856 .719 .597 .203 .314 .497 .691 .820 .862 .813 .693 .578 .202 .291 .444 .614 .741 .795 .760 .649 .539 846 .750 3046 .156 3.54729 .037148 .617382 -.095269 Correlation Surface at 946 3046 .000 .026 .126 .352 .594 .512 .241 .063 .005 .000 .032 .127 .348 .587 .524 .244 .065 .006 .000 .030 .136 .406 .676 .572 .256 .070 .009 .000 .023 .141 .496 .868 .692 .281 .071 .009 .000 .021 .146 .539 1.000 .808 .313 .071 .007 .000 .020 .148 .525 .963 .813 .331 .074 .006 .001 .017 .146 .498 .844 .699 .305 .075 .007 .001 .017 .147 .479 .762 .591 .244 .064 .007 .000 .023 .164 .471 .740 .554 .199 .047 .005 r_peak,r_snr = .4996543 8.93248 Correlation Surface of oversamples image at 946 3046 .246 .425 .624 .758 .757 .623 .429 .252 .125 .263 .469 .701 .855 .849 .689 .468 .273 .136 .275 .500 .758 .935 .934 .757 .511 .296 .148 .281 .511 .781 .977 .989 .809 .547 .317 .158 .283 .508 .774 .974 1.000 .832 .569 .330 .165 .283 .498 .747 .935 .967 .817 .567 .332 .166 .284 .487 .713 .878 .904 .769 .540 .319 .161 .285 .479 .683 .823 .835 .705 .495 .293 .148 .286 .473 .660 .777 .773 .642 .444 .259 .130 946 .313 3046 .313 8.93248 .002276 .022028 -.000878 Correlation Surface at 1046 3046 .300 .305 .415 .622 .758 .671 .506 .395 .302 .331 .330 .415 .636 .828 .721 .509 .399 .289 .305 .343 .440 .661 .911 .768 .497 .368 .266 .270 .340 .469 .705 .987 .803 .490 .350 .265 .268 .346 .471 .706 1.000 .837 .515 .362 .288 .267 .356 .453 .633 .927 .847 .553 .377 .297 .276 .375 .437 .544 .807 .800 .565 .376 .275 .308 .408 .433 .487 .690 .717 .541 .366 .249 .318 .411 .434 .466 .600 .632 .498 .350 .241 r_peak,r_snr = .5569578 3.35755 Correlation Surface of oversamples image at 1046 3046 .319 .456 .627 .781 .866 .836 .704 .552 .444 .328 .471 .647 .806 .897 .864 .719 .556 .440 .346 .497 .679 .844 .936 .896 .739 .566 .443 .371 .523 .708 .881 .976 .930 .765 .585 .454 .392 .537 .716 .895 1.000 .958 .795 .613 .474 .402 .530 .695 .876 .994 .971 .825 .649 .501 .395 .504 .650 .826 .958 .965 .847 .684 .532 .376 .466 .596 .760 .903 .940 .856 .712 .560 .356 .430 .545 .695 .838 .902 .851 .726 .577 1046 .156 3046 .250 3.35755 .003195 .051244 -.004110 Correlation Surface at 1146 3046 .450 .635 .813 .896 .868 .727 .546 .420 .372 .463 .648 .819 .921 .881 .761 .628 .470 .385 .458 .625 .785 .934 .917 .777 .682 .521 .391 .467 .609 .770 .962 .971 .810 .699 .538 .399 .503 .634 .795 .995 1.000 .861 .724 .543 .412 .526 .672 .836 .990 .963 .863 .752 .569 .433 .510 .692 .860 .950 .892 .818 .755 .603 .463 .479 .678 .834 .885 .825 .769 .721 .604 .479 .451 .638 .792 .806 .761 .729 .663 .554 .432 r_peak,r_snr = .566554 2.91305 Correlation Surface of oversamples image at 1146 3046 .618 .693 .782 .864 .906 .890 .833 .775 .727 .613 .695 .794 .887 .935 .920 .857 .792 .743 .618 .708 .818 .917 .966 .948 .882 .810 .756 .629 .725 .842 .943 .989 .966 .899 .826 .769 .644 .741 .860 .960 1.000 .974 .910 .842 .786 .666 .759 .873 .965 .998 .972 .914 .854 .806 .691 .776 .879 .957 .982 .959 .909 .858 .818 .714 .791 .877 .939 .954 .934 .892 .849 .817 .728 .799 .870 .915 .921 .900 .865 .829 .804 1146 .594 3046 .094 2.91305 .018223 .076734 -.005244 Correlation Surface at 1246 3046 .300 .407 .524 .668 .758 .638 .419 .314 .400 .296 .393 .543 .763 .842 .707 .492 .366 .416 .282 .323 .472 .734 .854 .758 .584 .456 .459 .251 .256 .409 .719 .908 .813 .651 .519 .496 .239 .233 .378 .710 1.000 .905 .694 .525 .498 .261 .241 .365 .633 .980 .998 .743 .521 .482 .280 .248 .383 .578 .849 .991 .782 .528 .473 .254 .250 .430 .611 .759 .878 .755 .525 .469 .218 .247 .435 .652 .766 .764 .665 .498 .450 r_peak,r_snr = .4075547 2.93735 Correlation Surface of oversamples image at 1246 3046 .498 .663 .791 .848 .834 .785 .734 .665 .583 .483 .666 .817 .889 .871 .806 .743 .672 .593 .466 .661 .840 .937 .924 .845 .761 .678 .595 .444 .637 .835 .964 .976 .898 .798 .695 .600 .418 .594 .790 .947 1.000 .946 .841 .720 .608 .398 .546 .721 .888 .980 .964 .873 .745 .621 .395 .515 .656 .810 .922 .942 .877 .759 .634 .410 .507 .614 .737 .841 .878 .840 .749 .636 .434 .519 .600 .687 .760 .788 .768 .708 .619 1246 .406 3046 .844 2.93735 .015056 .118382 -.026023 Correlation Surface at 1346 3046 .082 .202 .410 .548 .537 .396 .256 .059 .008 .094 .153 .277 .453 .520 .446 .283 .062 .009 .080 .117 .207 .444 .625 .516 .273 .045 .011 .054 .098 .187 .491 .840 .644 .236 .035 .013 .046 .136 .239 .561 1.000 .700 .175 .028 .016 .059 .259 .394 .672 .984 .599 .114 .018 .017 .069 .358 .567 .763 .850 .491 .104 .017 .021 .062 .294 .567 .710 .690 .474 .167 .036 .034 .067 .201 .448 .543 .548 .474 .231 .054 .040 r_peak,r_snr = .2746109 8.04914 Correlation Surface of oversamples image at 1346 3046 .106 .227 .405 .557 .615 .598 .554 .462 .284 .122 .250 .462 .677 .781 .745 .637 .485 .281 .144 .265 .493 .764 .920 .863 .668 .438 .221 .181 .285 .512 .814 .998 .911 .632 .339 .133 .231 .316 .530 .829 1.000 .874 .541 .227 .058 .282 .348 .539 .803 .930 .767 .426 .140 .018 .321 .371 .529 .738 .813 .638 .333 .096 .006 .338 .378 .499 .646 .677 .523 .282 .089 .008 .326 .361 .447 .537 .543 .434 .267 .111 .021 1346 .063 3046 .250 8.04914 .009439 .125615 .013248 Correlation Surface at 1446 3046 .260 .342 .529 .634 .720 .514 .326 .305 .251 .241 .294 .325 .477 .826 .726 .440 .432 .335 .266 .264 .243 .448 .876 .880 .552 .460 .311 .285 .241 .251 .541 .949 .976 .667 .412 .205 .269 .225 .281 .623 1.000 .893 .595 .326 .105 .233 .199 .289 .579 .859 .709 .397 .241 .068 .205 .177 .266 .495 .669 .616 .305 .209 .085 .169 .147 .242 .487 .699 .663 .347 .234 .132 .150 .099 .233 .526 .857 .737 .411 .273 .155 r_peak,r_snr = .2290722 4.10553 Correlation Surface of oversamples image at 1446 3046 .309 .372 .500 .652 .687 .577 .439 .377 .392 .271 .365 .535 .729 .787 .673 .520 .451 .468 .261 .384 .588 .805 .879 .773 .620 .544 .543 .274 .425 .655 .878 .955 .867 .728 .641 .600 .294 .468 .714 .932 1.000 .921 .800 .706 .619 .297 .478 .730 .941 .994 .906 .794 .701 .588 .274 .444 .686 .893 .939 .836 .716 .628 .516 .237 .382 .596 .796 .849 .742 .611 .525 .431 .196 .309 .482 .661 .730 .642 .513 .429 .353 1446 .406 3046 -1.750 4.10553 .033514 .185382 .038966 Correlation Surface at 1546 3046 .008 .184 .407 .440 .354 .128 .008 .011 .051 .001 .052 .174 .278 .403 .172 .014 .002 .031 .002 .011 .072 .241 .554 .321 .045 .000 .013 .001 .010 .085 .358 .841 .561 .129 .009 .000 .009 .006 .118 .467 1.000 .691 .207 .029 .006 .028 .003 .159 .504 .859 .573 .161 .020 .006 .017 .014 .219 .560 .732 .460 .108 .003 .000 .000 .047 .226 .580 .790 .522 .147 .005 .005 .000 .051 .161 .451 .726 .592 .261 .048 .000 r_peak,r_snr = .2454545 11.26543 Correlation Surface of oversamples image at 1546 3046 .060 .154 .347 .512 .480 .290 .097 .008 .004 .066 .184 .420 .637 .625 .409 .166 .030 .000 .096 .249 .530 .786 .785 .541 .253 .069 .006 .140 .327 .637 .918 .923 .658 .340 .120 .023 .185 .388 .698 .987 1.000 .728 .398 .162 .042 .223 .420 .701 .970 .988 .725 .402 .170 .048 .250 .432 .671 .899 .904 .657 .357 .144 .036 .275 .444 .647 .830 .813 .575 .297 .106 .019 .295 .463 .652 .803 .763 .523 .257 .080 .008 1546 .281 3046 -.813 11.26543 .008227 .057998 .003912 Correlation Surface at 1646 3046 .005 .010 .093 .235 .295 .182 .049 .000 .018 .018 .002 .071 .246 .378 .239 .053 .000 .014 .040 .003 .059 .346 .599 .370 .053 .001 .017 .041 .008 .060 .483 .857 .542 .079 .001 .019 .029 .006 .066 .551 1.000 .691 .137 .000 .018 .027 .004 .062 .513 .993 .767 .189 .001 .018 .037 .007 .044 .419 .859 .729 .198 .005 .012 .049 .015 .027 .323 .689 .628 .195 .008 .005 .052 .016 .021 .270 .577 .528 .184 .008 .004 r_peak,r_snr = .4084772 14.61127 Correlation Surface of oversamples image at 1646 3046 .025 .134 .316 .524 .672 .642 .419 .163 .027 .032 .169 .395 .643 .806 .767 .519 .221 .045 .042 .201 .460 .740 .918 .877 .617 .289 .073 .053 .221 .492 .790 .986 .955 .697 .357 .109 .060 .224 .487 .787 1.000 .992 .750 .412 .145 .059 .210 .453 .741 .961 .979 .765 .442 .173 .051 .183 .402 .665 .878 .915 .735 .442 .185 .040 .154 .348 .581 .774 .820 .675 .418 .183 .031 .131 .304 .507 .672 .716 .603 .383 .173 1646 .250 3046 -.500 14.61127 .003404 .053621 -.004260 Correlation Surface at 1746 3046 .047 .052 .044 .173 .286 .159 .102 .095 .181 .032 .068 .079 .243 .414 .252 .139 .091 .127 .016 .067 .139 .357 .572 .403 .196 .117 .092 .021 .077 .194 .515 .823 .592 .246 .147 .096 .046 .098 .231 .609 1.000 .680 .263 .148 .122 .067 .108 .238 .560 .851 .565 .237 .134 .140 .067 .096 .206 .452 .606 .403 .187 .126 .123 .066 .096 .162 .347 .474 .321 .148 .120 .094 .069 .099 .114 .231 .366 .272 .141 .142 .103 r_peak,r_snr = .3340659 9.00444 Correlation Surface of oversamples image at 1746 3046 .161 .259 .398 .563 .681 .665 .541 .404 .306 .194 .313 .473 .654 .791 .781 .632 .457 .328 .224 .361 .543 .744 .894 .878 .697 .484 .333 .249 .395 .596 .816 .971 .940 .728 .487 .324 .267 .413 .620 .849 1.000 .953 .724 .474 .311 .272 .410 .605 .825 .963 .909 .686 .449 .299 .265 .389 .558 .746 .864 .815 .621 .414 .285 .250 .360 .499 .646 .736 .700 .544 .372 .268 .236 .332 .449 .558 .619 .590 .469 .328 .242 1746 .156 3046 -.031 9.00444 .005605 .022605 .000911 Correlation Surface at 1846 3046 .010 .087 .193 .121 .190 .214 .090 .026 .037 .004 .030 .138 .161 .211 .210 .111 .036 .049 .002 .074 .222 .390 .462 .323 .166 .031 .047 .014 .216 .448 .693 .870 .540 .186 .002 .018 .017 .272 .584 .799 1.000 .638 .141 .009 .001 .035 .229 .452 .600 .723 .511 .079 .019 .017 .059 .189 .281 .386 .405 .389 .049 .014 .010 .048 .115 .178 .332 .279 .341 .064 .005 .000 .027 .032 .093 .345 .255 .252 .077 .000 .010 r_peak,r_snr = .1571252 12.42995 Correlation Surface of oversamples image at 1846 3046 .365 .414 .453 .470 .431 .366 .276 .147 .048 .479 .547 .606 .650 .609 .494 .338 .160 .038 .575 .648 .724 .815 .807 .645 .396 .155 .023 .638 .709 .790 .918 .954 .762 .425 .134 .008 .662 .720 .794 .933 1.000 .802 .418 .109 .002 .650 .689 .744 .876 .961 .782 .396 .095 .000 .607 .629 .659 .773 .871 .731 .373 .090 .001 .543 .559 .566 .658 .761 .665 .353 .091 .003 .467 .488 .476 .545 .652 .600 .337 .095 .006 1846 1.406 3046 -.031 12.42995 .045851 .087054 -.004358 Correlation Surface at 1946 3046 .030 .000 .113 .530 .333 .059 .026 .028 .011 .092 .015 .068 .457 .453 .132 .043 .153 .019 .112 .096 .010 .329 .693 .284 .011 .176 .053 .072 .135 .005 .271 .993 .576 .000 .074 .068 .037 .057 .012 .198 1.000 .832 .005 .024 .037 .029 .000 .024 .064 .470 .592 .012 .015 .023 .036 .047 .087 .014 .053 .207 .071 .001 .011 .065 .093 .138 .002 .001 .095 .266 .072 .001 .104 .081 .081 .006 .011 .082 .431 .143 .002 r_peak,r_snr = .1214295 11.09877 Correlation Surface of oversamples image at 1946 3046 .146 .301 .421 .443 .323 .130 .008 .027 .130 .106 .274 .457 .565 .464 .210 .025 .016 .120 .085 .248 .477 .694 .660 .341 .061 .004 .082 .078 .227 .478 .795 .866 .505 .112 .000 .047 .077 .206 .454 .828 1.000 .640 .161 .002 .026 .076 .175 .392 .761 .984 .679 .187 .004 .015 .071 .135 .296 .593 .802 .595 .187 .008 .008 .070 .096 .190 .378 .528 .431 .168 .016 .002 .080 .069 .103 .191 .275 .267 .151 .036 .001 1946 .438 3046 .688 11.09877 .022609 .078495 -.011912 Correlation Surface at 2046 3046 .012 .121 .280 .471 .536 .318 .207 .209 .236 .056 .211 .326 .346 .414 .347 .268 .244 .188 .108 .294 .382 .328 .427 .390 .293 .227 .160 .105 .274 .438 .461 .682 .485 .335 .251 .179 .101 .208 .464 .603 1.000 .657 .397 .401 .302 .148 .160 .365 .544 .956 .745 .406 .564 .461 .152 .086 .198 .319 .605 .640 .371 .487 .472 .082 .039 .126 .142 .302 .442 .375 .326 .283 .036 .061 .158 .085 .170 .276 .316 .226 .118 r_peak,r_snr = .1749562 4.89802 Correlation Surface of oversamples image at 2046 3046 .347 .374 .473 .586 .613 .540 .470 .422 .350 .413 .453 .571 .699 .712 .597 .484 .423 .367 .464 .531 .675 .823 .826 .667 .498 .411 .376 .481 .580 .750 .925 .938 .749 .524 .400 .382 .459 .581 .762 .957 1.000 .814 .552 .395 .386 .396 .518 .687 .884 .959 .812 .556 .384 .376 .305 .405 .545 .724 .820 .728 .520 .358 .341 .220 .284 .389 .538 .636 .595 .453 .319 .290 .160 .186 .255 .368 .453 .448 .371 .273 .232 2046 .344 3046 1.500 4.89802 .022172 .083504 -.007727 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .339 .515 .659 .760 .747 .702 .651 .455 .284 .322 .486 .658 .800 .786 .699 .625 .441 .292 .316 .465 .665 .863 .875 .781 .642 .443 .321 .315 .453 .647 .875 .957 .894 .677 .450 .344 .330 .461 .639 .870 1.000 .938 .706 .468 .354 .376 .497 .650 .859 .964 .860 .686 .483 .347 .425 .545 .659 .828 .876 .763 .632 .480 .328 .421 .564 .670 .791 .821 .750 .625 .490 .336 .389 .555 .704 .795 .838 .802 .652 .507 .363 r_peak,r_snr = .6268825 3.19953 Correlation Surface of oversamples image at 146 3446 .603 .733 .845 .887 .866 .825 .781 .719 .622 .593 .720 .843 .909 .911 .885 .843 .766 .645 .586 .704 .832 .922 .950 .936 .891 .798 .658 .585 .696 .825 .933 .982 .972 .915 .807 .659 .593 .699 .826 .943 1.000 .983 .909 .794 .650 .607 .710 .829 .938 .990 .963 .877 .763 .634 .623 .721 .823 .911 .949 .915 .827 .719 .610 .637 .725 .807 .868 .887 .853 .773 .676 .583 .645 .720 .783 .818 .823 .794 .730 .646 .564 146 1.125 3446 -.906 3.19953 .007424 .035157 .001161 Correlation Surface at 246 3446 .085 .119 .189 .175 .135 .155 .140 .072 .014 .095 .085 .098 .126 .148 .190 .164 .079 .019 .076 .066 .066 .155 .313 .353 .225 .099 .031 .034 .048 .072 .269 .737 .662 .283 .117 .041 .024 .044 .118 .383 1.000 .771 .270 .107 .042 .051 .070 .170 .392 .770 .536 .205 .085 .039 .092 .114 .182 .282 .425 .322 .174 .084 .040 .093 .126 .143 .143 .206 .231 .193 .094 .043 .073 .091 .087 .051 .085 .167 .208 .107 .051 r_peak,r_snr = .2495277 14.14155 Correlation Surface of oversamples image at 246 3446 .059 .094 .164 .266 .370 .430 .430 .378 .293 .077 .133 .241 .399 .550 .609 .557 .443 .313 .107 .185 .337 .561 .765 .810 .684 .497 .330 .139 .231 .417 .695 .936 .954 .751 .507 .327 .164 .261 .457 .754 1.000 .981 .729 .470 .302 .183 .274 .459 .733 .944 .892 .638 .404 .266 .197 .277 .435 .657 .807 .738 .523 .337 .229 .211 .274 .403 .572 .666 .598 .437 .299 .209 .219 .261 .360 .492 .557 .509 .403 .301 .216 246 .219 3446 -.063 14.14155 .007628 .022220 .002884 Correlation Surface at 346 3446 .004 .016 .049 .291 .798 .715 .463 .235 .073 .004 .033 .101 .173 .513 .566 .449 .321 .152 .007 .072 .143 .195 .495 .561 .465 .369 .282 .025 .096 .121 .277 .736 .698 .436 .320 .315 .005 .038 .071 .348 1.000 .820 .359 .270 .267 .001 .001 .046 .411 .972 .727 .282 .291 .249 .005 .000 .046 .419 .781 .502 .236 .341 .237 .012 .003 .054 .339 .661 .377 .227 .344 .207 .016 .003 .060 .246 .615 .406 .242 .292 .179 r_peak,r_snr = .1984512 6.00376 Correlation Surface of oversamples image at 346 3446 .149 .157 .224 .373 .538 .613 .597 .530 .416 .148 .178 .293 .514 .718 .754 .667 .555 .422 .134 .191 .350 .639 .891 .898 .723 .543 .388 .116 .202 .394 .715 .995 .987 .744 .500 .329 .101 .216 .425 .734 1.000 .985 .715 .441 .269 .092 .229 .445 .714 .927 .897 .639 .374 .219 .087 .237 .456 .682 .828 .772 .539 .312 .185 .080 .227 .447 .649 .741 .656 .448 .262 .167 .068 .194 .405 .606 .674 .570 .379 .228 .158 346 .219 3446 .250 6.00376 .012067 .095921 .005851 Correlation Surface at 446 3446 .056 .239 .328 .453 .663 .576 .258 .074 .025 .057 .242 .365 .480 .705 .612 .236 .062 .015 .045 .217 .430 .587 .764 .632 .220 .055 .009 .037 .183 .462 .750 .889 .669 .234 .049 .004 .034 .120 .368 .782 1.000 .707 .265 .050 .001 .036 .065 .214 .632 .999 .726 .292 .057 .001 .043 .058 .131 .471 .986 .787 .302 .064 .005 .052 .103 .130 .393 .971 .897 .320 .068 .010 .061 .164 .162 .350 .852 .910 .340 .070 .015 r_peak,r_snr = .3197746 7.97284 Correlation Surface of oversamples image at 446 3446 .661 1.448 2.570 3.346 3.232 2.621 2.037 1.550 1.050 .619 1.280 2.371 3.314 3.428 2.882 2.206 1.591 1.022 .632 1.163 2.191 3.275 3.647 3.211 2.431 1.635 .959 .723 1.139 2.103 3.277 3.871 3.572 2.713 1.734 .936 446 .625 3446 .813 7.97284 .013574 .201521 -.022640 Correlation Surface at 546 3446 .069 .246 .302 .465 .802 .459 .226 .361 .572 .079 .286 .388 .421 .750 .515 .219 .316 .626 .080 .288 .493 .549 .740 .601 .274 .232 .433 .075 .216 .494 .786 .866 .652 .338 .177 .262 .063 .142 .427 .831 1.000 .709 .384 .167 .225 .061 .122 .379 .656 .903 .722 .410 .208 .239 .076 .147 .377 .533 .644 .601 .413 .287 .251 .082 .187 .399 .530 .489 .458 .359 .324 .264 .080 .206 .443 .574 .497 .431 .247 .220 .257 r_peak,r_snr = .1713325 4.82356 Correlation Surface of oversamples image at 546 3446 .650 .713 .605 .476 .466 .567 .601 .464 .267 .534 .715 .759 .695 .641 .647 .614 .483 .321 .390 .636 .834 .898 .847 .756 .631 .482 .352 .261 .503 .787 .980 .990 .851 .650 .475 .364 .177 .373 .656 .910 1.000 .887 .661 .468 .360 .139 .284 .513 .751 .893 .855 .661 .463 .344 .138 .246 .409 .586 .728 .763 .635 .451 .320 .173 .255 .364 .474 .574 .633 .566 .413 .284 .235 .303 .373 .427 .473 .511 .471 .350 .236 546 -1.656 3446 -10.313 4.82356 .062978 .237051 -.040617 Correlation Surface at 646 3446 .012 .010 .022 .222 .624 .505 .109 .025 .056 .006 .013 .006 .229 .684 .464 .113 .049 .085 .005 .010 .006 .253 .834 .542 .122 .048 .068 .003 .002 .024 .308 .952 .689 .149 .035 .035 .001 .001 .036 .338 1.000 .765 .212 .059 .041 .002 .002 .016 .263 .955 .793 .287 .136 .099 .001 .001 .008 .166 .763 .763 .319 .154 .104 .000 .000 .010 .130 .554 .642 .277 .111 .048 .001 .002 .012 .141 .460 .477 .187 .089 .029 r_peak,r_snr = .2464635 11.69521 Correlation Surface of oversamples image at 646 3446 .047 .153 .366 .663 .872 .811 .522 .233 .084 .033 .136 .368 .689 .883 .789 .487 .209 .074 .027 .125 .368 .716 .917 .802 .480 .198 .067 .029 .127 .374 .743 .966 .848 .506 .207 .067 .038 .139 .384 .753 1.000 .901 .554 .236 .077 .048 .155 .395 .748 .997 .923 .594 .274 .098 .054 .166 .408 .746 .978 .912 .611 .311 .130 .050 .163 .412 .751 .972 .899 .616 .342 .169 .040 .143 .396 .750 .977 .900 .622 .366 .206 646 .094 3446 -.688 11.69521 .008085 .582817 -.029516 Correlation Surface at 746 3446 .033 .003 .117 .423 .605 .172 .000 .011 .038 .042 .001 .093 .488 .723 .220 .001 .009 .043 .051 .018 .069 .537 .795 .269 .004 .013 .061 .049 .030 .049 .570 .943 .389 .017 .016 .080 .037 .024 .033 .488 1.000 .511 .037 .010 .072 .030 .018 .019 .318 .814 .525 .050 .005 .049 .030 .019 .008 .177 .582 .471 .057 .003 .038 .033 .018 .003 .122 .456 .413 .063 .002 .037 .039 .012 .006 .129 .394 .353 .065 .000 .026 r_peak,r_snr = .3508936 14.05824 Correlation Surface of oversamples image at 746 3446 .124 .380 .687 .878 .820 .545 .244 .062 .002 .107 .370 .702 .916 .869 .598 .289 .087 .006 .095 .355 .706 .954 .940 .678 .352 .119 .014 .087 .332 .681 .961 .997 .761 .421 .156 .024 .080 .298 .620 .911 1.000 .811 .476 .191 .037 .075 .261 .539 .813 .941 .812 .509 .221 .051 .069 .222 .449 .692 .840 .771 .518 .245 .065 .059 .181 .364 .575 .730 .712 .514 .264 .078 .046 .142 .293 .480 .639 .660 .509 .279 .090 746 -.156 3446 -.375 14.05824 .003539 .038383 -.005546 Correlation Surface at 846 3446 .177 .276 .499 .844 .984 .771 .588 .499 .371 .186 .275 .513 .848 .951 .768 .613 .526 .399 .178 .270 .494 .810 .938 .803 .629 .485 .366 .161 .266 .469 .773 .966 .830 .576 .379 .269 .172 .294 .500 .776 1.000 .849 .508 .292 .197 .191 .323 .530 .748 .956 .854 .493 .271 .185 .180 .305 .485 .658 .840 .835 .544 .317 .219 .156 .272 .441 .576 .713 .758 .601 .398 .278 .146 .263 .455 .566 .607 .635 .590 .467 .344 r_peak,r_snr = .490498 4.34921 Correlation Surface of oversamples image at 846 3446 .521 .694 .842 .925 .942 .906 .828 .729 .636 .502 .662 .812 .913 .952 .928 .853 .743 .626 .492 .637 .791 .913 .970 .952 .870 .742 .600 .494 .624 .779 .918 .988 .968 .874 .728 .565 .507 .625 .775 .921 1.000 .978 .872 .710 .530 .526 .632 .770 .911 .994 .977 .869 .696 .506 .538 .634 .752 .878 .963 .961 .863 .690 .495 .534 .621 .720 .825 .909 .927 .853 .692 .500 .518 .599 .679 .765 .843 .879 .836 .698 .519 846 .125 3446 2.063 4.34921 .006083 .099301 -.004041 Correlation Surface at 946 3446 .008 .031 .128 .355 .523 .405 .241 .117 .055 .011 .037 .144 .391 .591 .439 .226 .104 .051 .016 .044 .155 .448 .728 .533 .229 .094 .048 .019 .050 .163 .504 .896 .678 .260 .094 .044 .020 .059 .179 .544 1.000 .800 .313 .102 .039 .020 .065 .192 .529 .945 .801 .335 .102 .033 .022 .063 .190 .477 .817 .715 .301 .087 .029 .029 .063 .191 .463 .735 .623 .257 .072 .028 .039 .072 .197 .469 .679 .552 .239 .071 .029 r_peak,r_snr = .5913212 9.01258 Correlation Surface of oversamples image at 946 3446 .259 .418 .594 .702 .673 .534 .367 .236 .151 .274 .449 .655 .792 .770 .607 .407 .249 .151 .289 .480 .714 .882 .869 .688 .455 .270 .156 .307 .511 .765 .956 .953 .761 .504 .294 .163 .324 .532 .791 .993 1.000 .808 .540 .315 .171 .333 .535 .784 .982 .997 .816 .553 .325 .175 .332 .519 .746 .931 .953 .788 .540 .320 .172 .323 .493 .697 .864 .888 .739 .509 .304 .163 .313 .470 .651 .799 .821 .684 .471 .281 .151 946 .281 3446 -.813 9.01258 .001370 .013147 -.000554 Correlation Surface at 1046 3446 .051 .133 .325 .475 .572 .485 .186 .085 .064 .043 .125 .391 .680 .722 .509 .160 .050 .033 .014 .099 .419 .845 .909 .590 .182 .049 .024 .000 .054 .361 .845 .991 .681 .244 .077 .039 .001 .031 .289 .790 1.000 .672 .253 .073 .046 .000 .038 .261 .725 .913 .528 .188 .037 .024 .002 .055 .259 .602 .732 .406 .158 .030 .013 .000 .047 .251 .501 .654 .420 .188 .056 .024 .000 .030 .250 .501 .746 .510 .214 .083 .040 r_peak,r_snr = .3099038 8.48551 Correlation Surface of oversamples image at 1046 3446 .381 .582 .706 .732 .683 .570 .398 .210 .077 .419 .661 .819 .863 .810 .660 .440 .220 .078 .419 .686 .877 .954 .915 .749 .494 .245 .086 .380 .652 .870 .989 .980 .816 .544 .273 .097 .320 .581 .816 .976 1.000 .844 .569 .291 .103 .264 .508 .750 .939 .986 .835 .562 .290 .101 .228 .453 .693 .892 .945 .791 .523 .270 .094 .211 .414 .642 .835 .876 .716 .461 .236 .083 .206 .385 .591 .765 .789 .629 .394 .202 .073 1046 -.219 3446 -2.750 8.48551 .011093 .275759 .008351 Correlation Surface at 1146 3446 .084 .224 .324 .296 .362 .285 .344 .239 .118 .073 .205 .283 .413 .617 .411 .415 .273 .110 .088 .232 .301 .536 .818 .514 .384 .237 .076 .088 .260 .410 .682 .949 .547 .304 .171 .071 .090 .314 .599 .814 1.000 .527 .235 .115 .092 .100 .404 .776 .860 .881 .488 .209 .114 .111 .089 .448 .811 .841 .673 .474 .256 .171 .120 .072 .393 .693 .742 .529 .507 .355 .219 .115 .079 .320 .481 .532 .477 .597 .435 .192 .102 r_peak,r_snr = .2605303 7.3114 Correlation Surface of oversamples image at 1146 3446 .388 .455 .606 .783 .815 .642 .454 .363 .324 .387 .475 .662 .872 .909 .726 .514 .383 .307 .412 .513 .715 .930 .960 .769 .537 .373 .269 .471 .575 .771 .973 .989 .786 .533 .347 .228 .552 .646 .816 .997 1.000 .784 .516 .318 .195 .637 .709 .838 .988 .980 .764 .496 .297 .175 .715 .757 .835 .940 .926 .730 .480 .289 .170 .780 .792 .816 .869 .848 .688 .473 .296 .181 .827 .818 .797 .799 .768 .650 .480 .324 .213 1146 .750 3446 2.656 7.31140 .012833 .157706 .018090 Correlation Surface at 1246 3446 .041 .022 .089 .160 .273 .255 .065 .006 .000 .016 .000 .073 .187 .335 .371 .146 .000 .000 .005 .001 .068 .312 .462 .302 .075 .000 .000 .001 .000 .062 .495 .749 .248 .001 .015 .002 .000 .000 .053 .633 1.000 .281 .011 .083 .032 .010 .005 .034 .604 .888 .268 .013 .196 .097 .012 .008 .018 .487 .654 .184 .018 .307 .129 .000 .000 .026 .374 .608 .183 .025 .335 .105 .014 .019 .063 .285 .583 .292 .010 .289 .100 r_peak,r_snr = .1643225 14.14234 Correlation Surface of oversamples image at 1246 3446 .007 .056 .183 .346 .452 .435 .318 .164 .049 .007 .059 .223 .471 .642 .597 .392 .166 .033 .006 .061 .261 .596 .836 .764 .470 .175 .022 .003 .058 .280 .679 .973 .883 .528 .186 .019 .001 .045 .264 .685 1.000 .901 .529 .186 .018 .001 .027 .217 .615 .922 .828 .482 .171 .017 .004 .012 .155 .492 .778 .713 .417 .153 .018 .007 .004 .099 .360 .614 .591 .358 .139 .019 .003 .002 .062 .250 .466 .487 .319 .134 .021 1246 -.375 3446 -2.156 14.14234 .010681 .099069 .002474 Correlation Surface at 1346 3446 .004 .033 .089 .357 .711 .669 .445 .287 .053 .000 .023 .069 .291 .782 .799 .464 .272 .065 .000 .025 .096 .371 .912 .874 .484 .233 .071 .001 .025 .117 .606 .997 .823 .511 .199 .075 .013 .014 .103 .809 1.000 .621 .401 .129 .057 .061 .007 .097 .734 .894 .387 .179 .058 .036 .104 .004 .115 .521 .671 .275 .068 .047 .060 .078 .001 .109 .314 .446 .329 .088 .076 .139 .023 .000 .054 .154 .275 .434 .190 .110 .153 r_peak,r_snr = .179612 7.73386 Correlation Surface of oversamples image at 1346 3446 .073 .142 .241 .356 .526 .728 .795 .697 .528 .083 .170 .309 .454 .625 .794 .812 .692 .531 .085 .191 .390 .595 .767 .872 .816 .666 .515 .079 .194 .449 .733 .913 .944 .805 .612 .463 .072 .179 .453 .800 1.000 .979 .769 .530 .373 .066 .152 .403 .763 .988 .957 .710 .436 .269 .061 .123 .323 .648 .880 .871 .636 .354 .182 .058 .099 .241 .501 .714 .736 .555 .301 .133 .058 .085 .178 .365 .536 .583 .479 .282 .123 1346 -.313 3446 2.156 7.73386 .348525 3.172770 1.003341 Correlation Surface at 1446 3446 .004 .004 .048 .310 .374 .183 .017 .005 .008 .000 .000 .025 .296 .480 .243 .018 .014 .027 .006 .003 .010 .249 .593 .317 .011 .020 .046 .014 .001 .016 .321 .805 .396 .007 .021 .051 .012 .001 .047 .457 1.000 .477 .026 .008 .054 .011 .015 .092 .420 .862 .500 .095 .001 .034 .013 .018 .134 .320 .552 .404 .157 .019 .008 .026 .000 .110 .282 .372 .277 .146 .023 .004 .057 .008 .052 .228 .278 .189 .107 .012 .020 r_peak,r_snr = .2144392 14.51324 Correlation Surface of oversamples image at 1446 3446 .016 .101 .303 .524 .592 .477 .248 .060 .001 .015 .102 .338 .615 .704 .553 .271 .057 .000 .023 .123 .402 .736 .843 .656 .323 .075 .001 .042 .161 .476 .842 .960 .758 .399 .119 .012 .074 .208 .524 .882 1.000 .818 .479 .187 .047 .114 .247 .519 .821 .938 .811 .536 .266 .105 .153 .269 .470 .692 .805 .748 .560 .336 .175 .181 .277 .408 .553 .653 .659 .556 .387 .239 .181 .265 .348 .435 .511 .551 .516 .401 .274 1446 -.063 3446 .438 14.51324 .006907 .064037 .000122 Correlation Surface at 1546 3446 .079 .239 .267 .368 .425 .378 .370 .283 .176 .042 .149 .172 .291 .494 .420 .255 .198 .146 .046 .118 .213 .341 .598 .566 .279 .148 .097 .141 .161 .332 .548 .835 .797 .342 .124 .075 .325 .312 .437 .663 1.000 .906 .291 .086 .085 .410 .484 .523 .596 .899 .836 .208 .062 .106 .313 .441 .546 .567 .788 .702 .196 .067 .132 .201 .268 .436 .624 .798 .589 .221 .105 .151 .158 .166 .316 .628 .798 .531 .251 .154 .135 r_peak,r_snr = .1965942 5.55114 Correlation Surface of oversamples image at 1546 3446 .260 .351 .479 .628 .681 .553 .350 .201 .136 .359 .478 .606 .745 .784 .638 .397 .211 .123 .471 .619 .748 .870 .894 .729 .447 .218 .111 .553 .717 .845 .954 .974 .801 .484 .219 .101 .575 .731 .858 .969 1.000 .838 .507 .219 .096 .534 .665 .793 .915 .969 .838 .520 .226 .098 .461 .569 .699 .836 .908 .809 .525 .240 .108 .394 .495 .631 .773 .848 .767 .525 .261 .129 .350 .465 .609 .744 .801 .724 .516 .283 .155 1546 1.344 3446 -10.594 5.55114 .045908 .121780 .002039 Correlation Surface at 1646 3446 .017 .060 .156 .319 .364 .197 .072 .041 .030 .014 .052 .125 .317 .524 .302 .131 .070 .034 .005 .029 .098 .388 .767 .421 .159 .055 .017 .001 .018 .097 .442 .987 .527 .144 .019 .000 .000 .010 .098 .427 1.000 .580 .120 .004 .005 .000 .001 .070 .370 .793 .484 .096 .003 .006 .001 .000 .042 .298 .550 .302 .061 .005 .001 .009 .001 .032 .243 .405 .180 .037 .009 .000 .017 .000 .035 .232 .378 .162 .043 .027 .005 r_peak,r_snr = .2338091 14.60894 Correlation Surface of oversamples image at 1646 3446 .059 .125 .253 .424 .514 .464 .363 .273 .194 .058 .141 .309 .536 .648 .561 .406 .278 .181 .064 .160 .361 .647 .796 .676 .454 .273 .152 .070 .176 .398 .730 .927 .795 .505 .265 .122 .069 .180 .410 .762 1.000 .880 .546 .259 .100 .056 .170 .399 .741 .994 .902 .564 .257 .090 .037 .149 .369 .679 .916 .853 .549 .255 .090 .021 .125 .330 .596 .792 .748 .500 .245 .094 .013 .103 .286 .505 .652 .616 .427 .225 .097 1646 .094 3446 1.250 14.60894 .006584 .110766 -.001418 Correlation Surface at 1746 3446 .016 .014 .035 .318 .773 .627 .138 .020 .062 .003 .000 .063 .606 1.000 .750 .402 .166 .166 .003 .003 .060 .695 .896 .567 .474 .235 .209 .011 .000 .068 .498 .477 .259 .283 .112 .098 .077 .018 .076 .329 .227 .085 .099 .026 .015 .068 .028 .071 .348 .288 .073 .027 .011 .019 r_peak,r_snr = .1553927 9.56595 Correlation Surface of oversamples image at 1746 3446 .045 .005 .049 .244 .380 .312 .115 .000 .109 .010 .008 .149 .412 .558 .482 .263 .052 .011 .002 .049 .311 .654 .789 .675 .446 .192 .019 .002 .091 .476 .890 .978 .796 .562 .330 .102 .004 .114 .569 .994 1.000 .749 .525 .360 .165 .006 .116 .549 .893 .805 .529 .348 .264 .150 .004 .106 .439 .639 .495 .262 .147 .120 .080 .001 .086 .297 .366 .222 .074 .023 .017 .013 .000 .060 .179 .177 .069 .004 .005 .010 .008 1746 -.219 3446 -13.594 9.56595 .049949 .168836 .050510 Correlation Surface at 1846 3446 .008 .012 .112 .129 .194 .296 .200 .128 .106 .017 .015 .150 .226 .345 .338 .194 .093 .074 .012 .023 .180 .309 .605 .500 .221 .045 .020 .009 .022 .179 .355 .858 .700 .299 .055 .006 .018 .013 .164 .390 1.000 .826 .348 .127 .015 .037 .004 .151 .383 .901 .782 .305 .186 .028 .044 .001 .141 .333 .659 .661 .290 .182 .021 .019 .004 .161 .321 .512 .557 .341 .157 .006 .000 .025 .162 .349 .520 .507 .357 .134 .000 r_peak,r_snr = .1987942 9.67356 Correlation Surface of oversamples image at 1846 3446 .141 .200 .306 .476 .615 .585 .426 .257 .138 .158 .230 .360 .569 .740 .692 .477 .270 .141 .160 .249 .405 .655 .864 .808 .542 .298 .159 .150 .253 .432 .716 .962 .910 .608 .334 .191 .134 .245 .436 .733 1.000 .964 .652 .363 .225 .120 .229 .408 .690 .958 .948 .659 .376 .248 .108 .204 .354 .597 .848 .871 .630 .374 .258 .099 .177 .292 .486 .710 .764 .584 .365 .258 .094 .155 .238 .388 .583 .661 .542 .363 .259 1846 .219 3446 -.938 9.67356 .013370 .144117 -.002395 Correlation Surface at 1946 3446 .001 .002 .061 .188 .439 .171 .001 .015 .007 .015 .000 .072 .178 .317 .086 .001 .021 .022 .030 .000 .110 .295 .362 .093 .002 .013 .047 .051 .001 .131 .540 .693 .197 .017 .012 .076 .049 .001 .108 .614 1.000 .319 .007 .022 .060 .025 .000 .097 .522 .949 .377 .001 .027 .027 .009 .001 .103 .394 .632 .345 .003 .042 .027 .000 .023 .125 .284 .337 .262 .011 .083 .059 .030 .065 .126 .196 .167 .171 .021 .078 .066 r_peak,r_snr = .1514512 15.35356 Correlation Surface of oversamples image at 1946 3446 .017 .125 .306 .516 .621 .484 .228 .062 .014 .019 .134 .347 .608 .748 .598 .295 .085 .017 .025 .147 .377 .685 .886 .737 .368 .096 .010 .035 .158 .381 .711 .980 .867 .440 .101 .004 .044 .164 .362 .681 1.000 .953 .508 .114 .002 .053 .169 .330 .601 .923 .946 .548 .137 .005 .065 .170 .287 .480 .748 .825 .533 .163 .013 .085 .172 .240 .350 .533 .630 .468 .184 .026 .114 .177 .198 .236 .337 .425 .371 .187 .038 1946 .219 3446 .500 15.35356 .014105 .120669 -.010638 Correlation Surface at 2046 3446 .004 .003 .000 .030 .128 .154 .005 .028 .105 .023 .028 .049 .094 .141 .175 .016 .051 .210 .020 .093 .202 .331 .321 .191 .107 .148 .277 .031 .135 .187 .447 .773 .392 .228 .220 .262 .065 .134 .101 .314 1.000 .761 .344 .160 .174 .085 .128 .077 .170 .614 .764 .392 .074 .073 .089 .171 .113 .139 .192 .323 .266 .035 .017 .115 .288 .183 .152 .068 .064 .116 .049 .008 .152 .304 .169 .141 .077 .042 .055 .105 .048 r_peak,r_snr = .1142017 11.65064 Correlation Surface of oversamples image at 2046 3446 .178 .199 .270 .364 .374 .277 .164 .084 .040 .245 .275 .375 .519 .548 .407 .229 .117 .072 .272 .310 .443 .667 .774 .622 .350 .162 .093 .255 .295 .445 .738 .956 .852 .499 .207 .093 .222 .254 .389 .699 1.000 .985 .613 .237 .077 .199 .217 .312 .571 .879 .940 .625 .234 .054 .193 .198 .241 .404 .637 .720 .504 .185 .030 .210 .199 .195 .263 .386 .434 .305 .105 .010 .251 .223 .180 .175 .207 .207 .133 .038 .001 2046 -.750 3446 -7.969 11.65064 .038180 .092859 -.029921 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .298 .390 .468 .594 .713 .704 .586 .462 .331 .302 .399 .445 .574 .740 .725 .576 .448 .332 .296 .436 .524 .662 .855 .779 .585 .459 .351 .289 .458 .629 .789 .990 .890 .652 .519 .392 .273 .427 .643 .832 1.000 .968 .757 .611 .454 .245 .384 .595 .776 .875 .899 .786 .647 .489 .234 .376 .563 .704 .764 .774 .702 .598 .483 .243 .389 .543 .654 .720 .705 .614 .530 .459 .257 .391 .504 .609 .692 .686 .601 .501 .444 r_peak,r_snr = .5757438 3.20403 Correlation Surface of oversamples image at 146 3846 .541 .631 .733 .815 .831 .770 .676 .598 .541 .593 .685 .792 .875 .877 .798 .693 .609 .548 .653 .746 .854 .936 .932 .841 .726 .638 .575 .709 .798 .898 .979 .979 .890 .775 .686 .620 .746 .826 .911 .987 1.000 .931 .830 .745 .678 .755 .827 .892 .957 .985 .948 .873 .799 .732 .744 .807 .853 .901 .937 .932 .889 .831 .765 .724 .779 .810 .841 .874 .890 .873 .829 .766 .704 .752 .774 .791 .815 .834 .831 .797 .737 146 .281 3846 -.719 3.20402 .009636 .018851 -.000813 Correlation Surface at 246 3846 .018 .082 .222 .467 .622 .527 .262 .119 .036 .022 .084 .217 .509 .698 .545 .244 .099 .030 .028 .099 .229 .546 .812 .608 .256 .089 .021 .033 .127 .285 .598 .949 .724 .289 .088 .013 .029 .148 .334 .615 1.000 .803 .310 .090 .011 .022 .146 .320 .552 .919 .776 .298 .088 .013 .016 .134 .290 .483 .782 .683 .270 .078 .015 .013 .129 .292 .468 .685 .601 .254 .071 .014 .010 .139 .326 .505 .665 .559 .252 .076 .013 r_peak,r_snr = .5003241 8.01474 Correlation Surface of oversamples image at 246 3846 .275 .466 .677 .801 .760 .589 .381 .210 .106 .287 .486 .722 .879 .847 .651 .409 .217 .103 .309 .510 .761 .946 .929 .716 .443 .229 .105 .333 .528 .783 .985 .984 .767 .473 .241 .109 .348 .531 .778 .988 1.000 .787 .487 .248 .112 .348 .514 .747 .950 .971 .771 .481 .247 .113 .333 .482 .695 .884 .908 .727 .459 .239 .112 .316 .448 .639 .810 .835 .675 .431 .228 .108 .304 .421 .589 .740 .765 .626 .408 .220 .105 246 .281 3846 -.125 8.01474 .002814 .034962 -.001920 Correlation Surface at 346 3846 .388 .466 .711 .814 .787 .716 .673 .673 .700 .389 .472 .695 .847 .845 .749 .674 .627 .684 .384 .500 .697 .878 .937 .789 .672 .634 .676 .395 .529 .701 .863 .999 .829 .661 .643 .641 .431 .531 .673 .803 1.000 .877 .665 .620 .589 .462 .512 .654 .761 .923 .848 .664 .587 .576 .468 .502 .694 .796 .862 .801 .687 .606 .605 .461 .503 .740 .852 .872 .845 .753 .671 .636 .469 .497 .709 .821 .869 .910 .784 .694 .644 r_peak,r_snr = .489515 2.04014 Correlation Surface of oversamples image at 346 3846 .658 .768 .847 .887 .878 .835 .783 .731 .677 .641 .743 .839 .907 .921 .876 .800 .721 .657 .626 .720 .827 .921 .957 .912 .813 .707 .633 .613 .699 .812 .928 .987 .946 .829 .700 .614 .598 .678 .792 .921 1.000 .972 .850 .705 .607 .585 .660 .768 .898 .988 .977 .865 .718 .612 .584 .653 .748 .865 .952 .954 .861 .728 .625 .598 .665 .743 .836 .905 .907 .835 .726 .636 .631 .701 .763 .823 .863 .855 .797 .715 .645 346 .188 3846 -.219 2.04014 .009274 .105215 -.012651 Correlation Surface at 446 3846 .042 .054 .181 .402 .613 .642 .428 .256 .176 .049 .068 .180 .416 .678 .720 .459 .273 .164 .051 .100 .224 .483 .765 .783 .476 .284 .167 .039 .100 .273 .610 .892 .834 .504 .280 .171 .020 .069 .257 .663 1.000 .863 .522 .259 .148 .007 .041 .199 .577 .949 .814 .495 .241 .116 .002 .028 .155 .461 .800 .712 .435 .226 .110 .000 .023 .140 .408 .726 .680 .426 .229 .135 .000 .021 .123 .383 .763 .745 .485 .269 .165 r_peak,r_snr = .3642108 5.86162 Correlation Surface of oversamples image at 446 3846 .737 1.443 2.387 3.173 3.326 2.813 2.096 1.518 1.117 .743 1.443 2.362 3.113 3.283 2.830 2.151 1.565 1.137 .761 1.482 2.429 3.192 3.381 2.973 2.320 1.707 1.217 .785 1.548 2.577 3.418 3.650 3.269 2.618 1.967 1.399 446 .438 3846 2.813 5.86162 .008966 .067193 -.000863 Correlation Surface at 546 3846 .336 .553 .363 .547 .887 .747 .301 .203 .037 .300 .491 .366 .541 .869 .739 .342 .287 .086 .203 .323 .356 .580 .930 .765 .376 .332 .122 .116 .192 .302 .618 .997 .861 .441 .336 .139 .055 .142 .214 .574 1.000 .944 .544 .285 .105 .024 .111 .140 .495 .947 .911 .585 .187 .044 .017 .076 .100 .418 .799 .769 .518 .111 .010 .025 .062 .086 .358 .647 .672 .479 .107 .006 .025 .063 .085 .328 .659 .750 .590 .214 .030 r_peak,r_snr = .2212455 5.41883 Correlation Surface of oversamples image at 546 3846 .000 .070 .347 .743 .949 .847 .573 .344 .240 .000 .095 .391 .761 .931 .812 .566 .368 .275 .000 .118 .448 .805 .948 .818 .591 .406 .296 .002 .118 .483 .851 .990 .858 .640 .457 .306 .013 .083 .445 .837 1.000 .888 .681 .503 .308 .041 .032 .324 .717 .931 .872 .694 .529 .303 .083 .001 .170 .507 .762 .781 .658 .520 .287 .115 .008 .057 .297 .553 .650 .603 .499 .270 .115 .027 .011 .154 .375 .525 .557 .490 .265 546 .000 3846 1.844 5.41883 .055251 2.366360 -.259868 Correlation Surface at 646 3846 .136 .248 .419 .591 .696 .611 .532 .398 .273 .131 .234 .418 .656 .709 .562 .502 .414 .281 .136 .247 .432 .771 .797 .596 .563 .441 .274 .156 .281 .460 .859 .947 .741 .709 .493 .266 .158 .297 .506 .854 1.000 .886 .792 .532 .271 .134 .258 .519 .801 .932 .873 .691 .507 .280 .150 .210 .438 .715 .878 .827 .572 .440 .279 .205 .207 .339 .599 .862 .864 .568 .375 .231 .222 .217 .285 .500 .832 .891 .595 .333 .187 r_peak,r_snr = .364131 4.86395 Correlation Surface of oversamples image at 646 3846 .332 .464 .605 .684 .695 .659 .586 .505 .445 .364 .507 .671 .767 .771 .708 .610 .518 .461 .396 .545 .729 .856 .869 .791 .671 .567 .508 .427 .575 .769 .923 .958 .883 .759 .647 .578 .453 .598 .787 .947 1.000 .946 .841 .735 .652 .464 .608 .782 .926 .981 .954 .880 .789 .695 .453 .600 .760 .878 .925 .916 .870 .793 .692 .417 .568 .723 .826 .865 .867 .834 .755 .644 .364 .513 .672 .780 .825 .836 .801 .702 .574 646 -.469 3846 .719 4.86394 .036079 .137758 -.036714 Correlation Surface at 746 3846 .011 .008 .066 .326 .726 .724 .308 .095 .037 .016 .004 .065 .321 .764 .813 .314 .078 .027 .023 .001 .055 .336 .828 .850 .311 .067 .014 .020 .000 .059 .397 .944 .834 .291 .061 .006 .010 .002 .069 .425 1.000 .806 .264 .051 .002 .009 .001 .066 .386 .917 .744 .240 .048 .003 .016 .000 .057 .346 .769 .657 .235 .052 .004 .014 .000 .063 .350 .713 .602 .250 .059 .003 .009 .000 .072 .364 .735 .601 .268 .072 .002 r_peak,r_snr = .3559467 9.31131 Correlation Surface of oversamples image at 746 3846 .156 .340 .566 .767 .851 .759 .529 .285 .121 .147 .338 .582 .806 .908 .805 .544 .278 .108 .147 .350 .611 .849 .954 .832 .548 .272 .101 .158 .378 .657 .897 .984 .837 .540 .266 .098 .176 .415 .708 .941 1.000 .825 .526 .262 .098 .192 .440 .739 .961 .994 .802 .509 .258 .098 .198 .440 .731 .940 .957 .765 .487 .253 .097 .194 .419 .688 .881 .893 .716 .462 .245 .096 .187 .391 .630 .804 .819 .666 .436 .235 .095 746 .344 3846 -2.750 9.31131 .003995 .092225 .002417 Correlation Surface at 846 3846 .140 .173 .287 .535 .662 .489 .316 .191 .105 .135 .165 .297 .567 .722 .530 .344 .223 .126 .148 .185 .322 .640 .849 .624 .388 .245 .137 .151 .206 .330 .668 .963 .738 .423 .241 .133 .127 .193 .326 .651 1.000 .819 .444 .235 .129 .095 .154 .318 .637 .980 .853 .469 .238 .133 .076 .121 .293 .606 .930 .854 .500 .247 .140 .072 .112 .260 .538 .830 .808 .514 .245 .133 .077 .120 .244 .473 .724 .734 .492 .228 .117 r_peak,r_snr = .5842842 5.05679 Correlation Surface of oversamples image at 846 3846 .334 .469 .628 .763 .816 .754 .622 .488 .379 .341 .484 .660 .819 .890 .830 .680 .527 .406 .342 .487 .676 .857 .950 .896 .735 .562 .426 .338 .481 .677 .876 .989 .944 .779 .590 .438 .331 .470 .667 .875 1.000 .967 .804 .606 .440 .321 .457 .654 .861 .989 .966 .812 .612 .436 .307 .444 .638 .841 .968 .951 .808 .613 .434 .290 .428 .616 .813 .938 .928 .800 .615 .438 .273 .408 .587 .775 .899 .901 .789 .618 .448 846 .156 3846 -.250 5.05679 .002541 .097350 -.007623 Correlation Surface at 946 3846 .162 .269 .427 .612 .783 .736 .554 .380 .256 .180 .330 .533 .753 .868 .798 .524 .349 .241 .199 .397 .599 .814 .949 .862 .539 .342 .258 .180 .393 .610 .798 .986 .855 .563 .385 .306 .130 .319 .590 .799 1.000 .788 .551 .455 .382 .114 .293 .595 .831 .978 .727 .518 .504 .452 .151 .340 .617 .837 .895 .702 .527 .530 .482 .196 .367 .588 .826 .827 .682 .564 .528 .459 .179 .324 .540 .840 .841 .650 .558 .472 .391 r_peak,r_snr = .4091112 3.99661 Correlation Surface of oversamples image at 946 3846 .745 .815 .879 .937 .984 .989 .923 .802 .685 .766 .812 .865 .930 .983 .989 .928 .817 .706 .784 .815 .858 .929 .984 .978 .907 .807 .716 .797 .828 .866 .938 .992 .966 .874 .779 .712 .804 .846 .882 .952 1.000 .954 .841 .744 .696 .803 .859 .897 .960 .998 .940 .813 .713 .677 .791 .859 .897 .950 .977 .919 .796 .699 .665 .768 .841 .881 .920 .940 .894 .794 .706 .670 .736 .811 .858 .888 .899 .870 .804 .735 .696 946 .031 3846 2.188 3.99661 .021287 1.046025 .115575 Correlation Surface at 1046 3846 .244 .354 .501 .683 .846 .727 .538 .446 .370 .230 .335 .484 .686 .916 .795 .548 .422 .340 .209 .301 .458 .679 .957 .842 .569 .418 .337 .211 .292 .456 .700 .986 .853 .594 .440 .364 .210 .311 .474 .721 1.000 .849 .601 .456 .383 .193 .324 .484 .710 .984 .857 .589 .440 .364 .179 .312 .469 .674 .922 .847 .573 .406 .318 .185 .294 .439 .623 .812 .785 .571 .379 .277 .199 .299 .417 .567 .709 .713 .575 .378 .258 r_peak,r_snr = .5440003 3.13149 Correlation Surface of oversamples image at 1046 3846 .393 .486 .625 .798 .922 .913 .788 .639 .521 .403 .499 .641 .816 .941 .925 .796 .648 .531 .413 .515 .660 .839 .963 .940 .802 .652 .535 .418 .524 .673 .858 .985 .956 .809 .652 .532 .418 .522 .674 .866 1.000 .971 .814 .648 .525 .414 .510 .659 .854 .997 .975 .815 .639 .514 .408 .494 .633 .822 .968 .958 .802 .626 .502 .400 .478 .604 .778 .920 .920 .780 .612 .494 .391 .463 .578 .733 .863 .872 .753 .602 .490 1046 .188 3846 1.781 3.13149 .003422 .399499 .001829 Correlation Surface at 1146 3846 .037 .077 .202 .554 .696 .532 .299 .151 .061 .058 .098 .226 .617 .869 .621 .277 .125 .059 .050 .080 .249 .669 .966 .693 .282 .103 .057 .038 .060 .273 .739 .995 .703 .296 .102 .049 .042 .065 .286 .757 1.000 .686 .290 .109 .041 .044 .079 .248 .666 .957 .697 .296 .123 .039 .038 .077 .190 .534 .852 .707 .343 .136 .038 .036 .066 .171 .472 .754 .658 .379 .131 .031 .036 .059 .175 .450 .695 .594 .366 .115 .022 r_peak,r_snr = .3413129 7.56973 Correlation Surface of oversamples image at 1146 3846 .215 .397 .648 .864 .929 .850 .683 .484 .317 .230 .421 .670 .885 .956 .880 .710 .500 .319 .249 .454 .703 .911 .980 .903 .730 .517 .330 .267 .488 .738 .936 .998 .914 .736 .525 .341 .276 .505 .756 .945 1.000 .910 .727 .517 .341 .268 .493 .739 .923 .978 .893 .710 .501 .331 .242 .448 .685 .869 .936 .868 .695 .488 .322 .206 .380 .602 .791 .876 .835 .684 .484 .318 .172 .316 .518 .710 .811 .797 .672 .485 .321 1146 -.063 3846 .219 7.56973 .009176 .848212 -.030050 Correlation Surface at 1246 3846 .193 .326 .545 .785 .921 .824 .623 .473 .419 .182 .318 .543 .816 .982 .816 .583 .437 .394 .178 .308 .524 .791 .997 .815 .568 .427 .361 .193 .320 .507 .753 .998 .837 .568 .415 .324 .197 .344 .517 .734 1.000 .878 .565 .367 .291 .182 .359 .549 .732 .985 .915 .582 .330 .271 .182 .369 .593 .759 .977 .941 .622 .340 .271 .204 .372 .628 .812 .993 .937 .644 .374 .282 .236 .380 .627 .841 .994 .896 .610 .392 .299 r_peak,r_snr = .4984376 3.22208 Correlation Surface of oversamples image at 1246 3846 .541 .650 .793 .922 .958 .889 .780 .680 .581 .547 .657 .800 .934 .979 .909 .791 .680 .578 .552 .661 .801 .935 .988 .928 .807 .687 .577 .554 .659 .795 .928 .995 .950 .829 .698 .574 .547 .646 .781 .919 1.000 .973 .855 .710 .565 .534 .624 .759 .903 1.000 .989 .877 .720 .555 .517 .598 .729 .878 .984 .989 .884 .723 .546 .508 .580 .699 .842 .951 .967 .875 .719 .541 .513 .577 .679 .805 .908 .930 .849 .706 .539 1246 .188 3846 -.156 3.22208 .015012 2.113882 -.143469 Correlation Surface at 1346 3846 .024 .027 .271 .573 .497 .371 .261 .138 .067 .038 .105 .477 .678 .499 .324 .229 .193 .068 .052 .162 .554 .664 .629 .379 .220 .211 .080 .069 .145 .441 .631 .862 .592 .267 .209 .069 .055 .152 .408 .643 1.000 .742 .252 .158 .066 .033 .214 .498 .671 .985 .614 .122 .062 .055 .041 .276 .554 .717 .938 .432 .057 .021 .026 .055 .277 .472 .718 .863 .370 .074 .025 .009 .048 .229 .315 .577 .738 .403 .130 .023 .002 r_peak,r_snr = .1799982 8.41451 Correlation Surface of oversamples image at 1346 3846 .461 .527 .563 .526 .419 .299 .219 .193 .193 .419 .508 .613 .655 .562 .395 .256 .188 .162 .386 .504 .671 .802 .749 .535 .311 .178 .119 .374 .521 .729 .924 .916 .666 .353 .156 .074 .391 .555 .776 .986 1.000 .727 .357 .123 .039 .428 .590 .799 .979 .965 .680 .307 .084 .017 .462 .608 .792 .916 .836 .546 .223 .049 .007 .489 .614 .775 .841 .691 .404 .151 .031 .005 .501 .608 .748 .775 .578 .305 .112 .030 .011 1346 .281 3846 1.125 8.41451 .029027 .435141 .004366 Correlation Surface at 1446 3846 .430 .435 .578 .799 .798 .743 .648 .554 .522 .464 .463 .578 .796 .846 .818 .682 .551 .516 .442 .476 .621 .828 .903 .854 .695 .566 .533 .436 .500 .686 .873 .966 .865 .699 .626 .588 .465 .536 .715 .908 1.000 .869 .703 .667 .605 .478 .544 .676 .888 .997 .885 .710 .636 .558 .499 .557 .617 .788 .912 .866 .719 .579 .503 .548 .593 .577 .649 .744 .766 .706 .560 .481 .574 .592 .540 .553 .619 .659 .655 .570 .484 r_peak,r_snr = .4742168 2.187 Correlation Surface of oversamples image at 1446 3846 .696 .791 .875 .927 .937 .908 .850 .786 .734 .695 .786 .874 .937 .955 .925 .860 .793 .749 .687 .777 .875 .949 .976 .948 .881 .813 .769 .669 .760 .867 .956 .993 .971 .910 .843 .791 .648 .732 .845 .948 1.000 .990 .941 .878 .814 .629 .698 .803 .912 .982 .991 .962 .909 .838 .618 .663 .745 .846 .927 .960 .953 .919 .852 .610 .628 .680 .761 .842 .891 .904 .891 .844 .607 .602 .626 .685 .760 .813 .834 .837 .818 1446 1.250 3846 2.719 2.18700 .016049 .463993 -.003237 Correlation Surface at 1546 3846 .023 .093 .401 .572 .447 .255 .111 .010 .008 .024 .132 .521 .651 .515 .275 .098 .008 .004 .047 .221 .620 .806 .648 .321 .122 .032 .003 .115 .327 .608 .896 .838 .449 .202 .082 .009 .204 .354 .509 .831 1.000 .629 .290 .100 .020 .236 .285 .383 .661 .916 .656 .281 .070 .028 .206 .217 .293 .489 .591 .456 .194 .049 .032 .156 .165 .225 .343 .318 .264 .125 .043 .046 .092 .114 .155 .227 .204 .176 .086 .034 .066 r_peak,r_snr = .2304982 6.96649 Correlation Surface of oversamples image at 1546 3846 .034 .182 .424 .609 .662 .641 .564 .436 .304 .054 .219 .479 .695 .750 .684 .562 .418 .286 .092 .270 .532 .777 .861 .764 .581 .401 .265 .144 .317 .556 .818 .956 .862 .619 .395 .252 .194 .346 .540 .798 1.000 .951 .678 .413 .259 .226 .343 .487 .721 .970 .996 .746 .460 .290 .237 .313 .412 .614 .879 .976 .793 .518 .333 .239 .278 .340 .508 .758 .897 .790 .556 .370 .235 .245 .281 .413 .625 .763 .715 .536 .367 1546 .250 3846 .281 6.96649 .032481 .129106 -.039490 Correlation Surface at 1646 3846 .007 .068 .179 .369 .440 .359 .137 .046 .070 .001 .073 .247 .377 .393 .274 .134 .071 .079 .003 .098 .302 .485 .567 .351 .151 .073 .057 .006 .110 .330 .682 .915 .602 .223 .084 .046 .002 .095 .283 .672 1.000 .718 .299 .136 .076 .000 .094 .245 .509 .825 .621 .288 .159 .106 .012 .136 .284 .459 .785 .610 .268 .166 .118 .055 .190 .288 .418 .768 .691 .308 .229 .171 .065 .203 .186 .270 .590 .671 .371 .273 .202 r_peak,r_snr = .2364713 7.89349 Correlation Surface of oversamples image at 1646 3846 .201 .292 .388 .465 .482 .424 .308 .184 .094 .211 .312 .427 .534 .580 .521 .376 .218 .109 .219 .335 .487 .647 .736 .675 .482 .273 .137 .213 .340 .534 .762 .902 .839 .594 .335 .173 .187 .312 .532 .814 1.000 .936 .656 .369 .200 .155 .264 .481 .782 .993 .933 .643 .358 .202 .135 .223 .413 .698 .913 .864 .588 .322 .184 .136 .204 .359 .607 .818 .792 .540 .291 .162 .166 .220 .343 .552 .755 .762 .536 .289 .153 1646 .156 3846 .750 7.89349 .017503 .085695 -.010819 Correlation Surface at 1746 3846 .005 .034 .193 .615 .738 .414 .107 .022 .001 .008 .053 .185 .539 .618 .389 .158 .039 .005 .007 .087 .215 .538 .661 .447 .239 .061 .012 .006 .114 .243 .579 .883 .557 .269 .051 .009 .006 .117 .252 .564 1.000 .606 .226 .030 .004 .002 .080 .243 .493 .845 .575 .209 .029 .006 .002 .030 .207 .424 .637 .557 .259 .051 .018 .016 .004 .168 .388 .534 .580 .304 .066 .022 .021 .000 .128 .347 .486 .552 .271 .053 .009 r_peak,r_snr = .2887387 10.53354 Correlation Surface of oversamples image at 1746 3846 .210 .350 .546 .704 .739 .639 .475 .317 .191 .241 .376 .574 .735 .767 .667 .512 .363 .234 .266 .398 .609 .800 .850 .743 .568 .403 .259 .277 .405 .630 .862 .947 .833 .620 .420 .258 .276 .400 .627 .884 1.000 .887 .642 .411 .237 .267 .389 .602 .852 .980 .881 .634 .389 .212 .254 .377 .567 .781 .899 .828 .610 .375 .199 .239 .369 .537 .706 .799 .759 .592 .381 .206 .224 .367 .526 .658 .726 .710 .596 .412 .231 1746 .000 3846 -.281 10.53354 .006000 .046131 -.002153 Correlation Surface at 1846 3846 .016 .139 .225 .415 .662 .399 .096 .003 .004 .048 .141 .196 .346 .637 .455 .119 .011 .009 .038 .107 .186 .321 .635 .607 .256 .053 .025 .020 .112 .228 .431 .784 .755 .394 .142 .045 .015 .141 .276 .594 1.000 .761 .344 .184 .067 .010 .119 .261 .628 .991 .675 .225 .129 .076 .003 .076 .228 .553 .832 .608 .205 .084 .055 .002 .071 .260 .485 .726 .601 .285 .106 .046 .007 .116 .353 .454 .708 .647 .375 .172 .057 r_peak,r_snr = .2541656 7.98261 Correlation Surface of oversamples image at 1846 3846 .216 .308 .461 .614 .633 .492 .294 .136 .051 .224 .329 .505 .693 .750 .614 .390 .204 .096 .246 .376 .587 .808 .876 .721 .466 .264 .150 .272 .432 .681 .923 .971 .772 .490 .289 .188 .298 .483 .755 .990 1.000 .754 .456 .269 .190 .321 .523 .793 .998 .969 .700 .402 .228 .164 .332 .542 .791 .953 .899 .640 .359 .194 .132 .325 .530 .746 .867 .806 .580 .332 .177 .110 .301 .489 .670 .760 .708 .527 .318 .174 .102 1846 .250 3846 .156 7.98261 .014749 .095696 .015696 Correlation Surface at 1946 3846 .023 .043 .176 .285 .326 .241 .142 .093 .071 .021 .041 .151 .322 .395 .260 .153 .078 .046 .035 .063 .158 .398 .548 .377 .209 .111 .043 .075 .109 .163 .483 .804 .634 .293 .170 .072 .107 .143 .131 .463 1.000 .895 .341 .209 .122 .091 .147 .118 .361 .909 .915 .348 .228 .150 .039 .110 .153 .302 .627 .705 .329 .223 .130 .008 .062 .188 .303 .424 .515 .283 .188 .089 .005 .050 .195 .302 .331 .430 .252 .166 .086 r_peak,r_snr = .2784739 9.58933 Correlation Surface of oversamples image at 1946 3846 .191 .323 .466 .552 .509 .389 .285 .221 .179 .198 .366 .552 .681 .653 .500 .343 .245 .197 .196 .396 .632 .809 .809 .626 .404 .260 .204 .184 .402 .675 .899 .937 .742 .459 .269 .205 .175 .388 .670 .923 1.000 .816 .498 .275 .204 .173 .359 .613 .863 .970 .820 .508 .277 .202 .179 .324 .520 .733 .854 .759 .496 .281 .205 .187 .290 .418 .573 .690 .654 .466 .284 .211 .186 .253 .320 .417 .519 .530 .415 .276 .206 1946 .406 3846 -.438 9.58933 .011696 .052649 -.011625 Correlation Surface at 2046 3846 .009 .005 .050 .117 .118 .077 .007 .015 .049 .001 .054 .067 .083 .127 .129 .016 .066 .154 .011 .139 .134 .156 .351 .272 .024 .083 .237 .014 .132 .151 .285 .833 .473 .044 .073 .181 .030 .067 .069 .240 1.000 .461 .044 .046 .072 .068 .022 .009 .096 .695 .294 .034 .027 .038 .103 .011 .000 .035 .384 .153 .029 .040 .066 .094 .003 .005 .034 .250 .092 .019 .051 .091 .076 .001 .032 .031 .247 .108 .021 .043 .087 r_peak,r_snr = .1491886 15.48884 Correlation Surface of oversamples image at 2046 3846 .214 .203 .192 .175 .167 .136 .055 .003 .000 .227 .212 .238 .286 .337 .292 .130 .020 .004 .218 .219 .301 .448 .593 .532 .256 .061 .021 .185 .212 .357 .613 .858 .785 .398 .114 .046 .133 .180 .365 .696 1.000 .925 .485 .146 .054 .079 .128 .312 .650 .955 .889 .473 .139 .042 .036 .073 .221 .514 .780 .733 .390 .113 .027 .011 .030 .132 .363 .582 .549 .291 .087 .021 .002 .009 .073 .249 .424 .396 .206 .067 .023 2046 .188 3846 .625 15.48884 .009146 .073007 -.002153 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .033 .053 .116 .125 .187 .258 .131 .070 .041 .071 .127 .148 .097 .170 .233 .128 .086 .068 .101 .219 .284 .212 .227 .242 .158 .113 .104 .092 .147 .342 .622 .555 .364 .209 .146 .118 .104 .076 .225 .879 1.000 .535 .214 .181 .121 .165 .121 .149 .536 .878 .525 .146 .141 .141 .202 .265 .164 .232 .439 .323 .084 .074 .157 .130 .293 .182 .169 .275 .198 .074 .056 .121 .045 .156 .185 .210 .308 .170 .103 .084 .093 r_peak,r_snr = .2021554 10.79651 Correlation Surface of oversamples image at 146 4246 .404 .380 .273 .185 .162 .172 .182 .173 .134 .383 .409 .383 .333 .296 .260 .226 .203 .171 .288 .356 .455 .534 .533 .436 .323 .259 .218 .177 .254 .447 .699 .812 .679 .466 .331 .256 .103 .161 .373 .743 1.000 .902 .614 .394 .266 .078 .109 .282 .649 .987 .984 .697 .419 .242 .094 .097 .209 .483 .794 .875 .665 .389 .197 .152 .117 .171 .335 .556 .664 .549 .329 .157 .244 .163 .163 .247 .383 .474 .420 .269 .136 146 .688 4246 .313 10.79651 .024268 .026095 -.005966 Correlation Surface at 246 4246 .008 .027 .089 .177 .274 .313 .296 .187 .086 .001 .006 .069 .202 .318 .371 .357 .204 .080 .001 .006 .070 .290 .477 .414 .318 .171 .072 .011 .032 .097 .390 .866 .578 .314 .209 .110 .023 .071 .121 .342 1.000 .679 .335 .307 .194 .014 .059 .113 .207 .528 .426 .258 .275 .204 .006 .029 .084 .123 .160 .145 .140 .138 .099 .002 .012 .061 .091 .076 .064 .077 .060 .020 .000 .008 .058 .076 .085 .087 .058 .030 .001 r_peak,r_snr = .2812369 17.04772 Correlation Surface of oversamples image at 246 4246 .085 .157 .234 .306 .352 .363 .368 .374 .355 .086 .180 .299 .414 .472 .454 .413 .383 .349 .093 .205 .376 .563 .657 .601 .487 .403 .350 .103 .220 .432 .705 .867 .777 .573 .425 .355 .112 .216 .436 .765 1.000 .906 .630 .431 .351 .116 .195 .383 .702 .966 .899 .614 .403 .328 .111 .162 .296 .541 .763 .730 .504 .333 .279 .096 .125 .206 .354 .490 .473 .336 .235 .210 .076 .092 .137 .208 .262 .246 .182 .143 .141 246 .125 4246 -.313 17.04772 .004411 .010474 -.000382 Correlation Surface at 346 4246 .142 .427 .584 .622 .612 .439 .150 .037 .005 .137 .417 .573 .628 .591 .415 .173 .055 .015 .121 .360 .516 .668 .674 .439 .188 .065 .020 .099 .291 .469 .728 .871 .553 .226 .058 .011 .087 .277 .518 .782 1.000 .668 .287 .065 .004 .086 .305 .635 .816 .934 .681 .336 .102 .008 .099 .338 .696 .828 .864 .665 .361 .150 .029 .125 .367 .662 .774 .886 .690 .378 .177 .064 .130 .384 .614 .669 .870 .707 .376 .181 .087 r_peak,r_snr = .4300478 5.89682 Correlation Surface of oversamples image at 346 4246 .506 .582 .689 .764 .715 .570 .411 .279 .179 .503 .598 .733 .848 .826 .668 .481 .322 .200 .535 .645 .790 .925 .929 .773 .563 .379 .230 .601 .720 .850 .974 .993 .852 .636 .435 .266 .685 .808 .903 .986 1.000 .884 .682 .480 .303 .766 .889 .941 .972 .970 .876 .700 .510 .337 .817 .938 .963 .955 .935 .856 .703 .529 .365 .826 .939 .961 .945 .919 .846 .707 .542 .386 .793 .891 .927 .937 .924 .854 .716 .552 .397 346 -.188 4246 .250 5.89682 .004606 .027828 -.000917 Correlation Surface at 446 4246 .043 .090 .283 .471 .555 .493 .392 .238 .096 .045 .083 .245 .475 .589 .498 .421 .262 .107 .032 .065 .204 .480 .747 .631 .480 .334 .140 .011 .036 .169 .473 .954 .821 .531 .357 .152 .001 .012 .131 .444 1.000 .875 .564 .334 .130 .000 .003 .087 .364 .792 .708 .539 .323 .100 .000 .003 .067 .277 .560 .497 .404 .276 .079 .000 .005 .070 .233 .439 .414 .291 .194 .061 .000 .004 .067 .215 .393 .422 .301 .157 .052 r_peak,r_snr = .3647537 8.91545 Correlation Surface of oversamples image at 446 4246 .306 .400 .533 .678 .729 .665 .585 .529 .460 .280 .382 .545 .739 .825 .756 .649 .569 .487 .266 .383 .577 .812 .925 .850 .717 .608 .508 .261 .395 .613 .870 .994 .918 .772 .644 .526 .255 .405 .633 .886 1.000 .929 .794 .669 .543 .244 .401 .625 .850 .936 .871 .763 .665 .552 .226 .379 .586 .773 .823 .757 .678 .619 .538 .203 .343 .528 .678 .699 .629 .567 .539 .495 .182 .306 .466 .588 .596 .526 .468 .451 .432 446 .531 4246 -.188 8.91545 .004474 .027236 -.000429 Correlation Surface at 546 4246 .020 .037 .070 .184 .301 .267 .371 .507 .229 .022 .042 .085 .235 .360 .266 .305 .424 .218 .021 .044 .106 .335 .516 .334 .276 .333 .177 .018 .045 .134 .481 .789 .475 .285 .257 .124 .015 .041 .145 .562 1.000 .585 .292 .219 .094 .014 .032 .123 .488 .928 .568 .282 .204 .085 .014 .027 .097 .369 .718 .495 .265 .187 .079 .016 .030 .091 .303 .557 .435 .252 .175 .079 .021 .037 .094 .276 .463 .388 .241 .169 .081 r_peak,r_snr = .6823807 11.88206 Correlation Surface of oversamples image at 546 4246 1.835 2.622 3.242 3.680 3.903 3.776 3.453 3.199 2.971 1.693 2.466 3.129 3.626 3.899 3.812 3.522 3.285 3.054 1.581 2.331 3.026 3.588 3.912 3.861 3.609 3.399 3.166 1.522 2.265 2.986 3.605 3.978 3.955 3.726 3.535 3.306 546 .250 4246 2.781 11.88206 .000583 .002752 -.000095 Correlation Surface at 646 4246 .019 .019 .074 .208 .487 .434 .194 .081 .023 .017 .013 .072 .256 .546 .410 .183 .065 .011 .001 .057 .191 .415 .750 .457 .174 .064 .005 .000 .131 .370 .580 .952 .571 .195 .073 .006 .002 .111 .359 .590 1.000 .668 .235 .085 .012 .000 .080 .278 .562 .939 .728 .275 .068 .007 .012 .110 .267 .636 .911 .747 .283 .040 .000 .045 .180 .285 .689 .882 .688 .258 .047 .001 .035 .191 .247 .543 .771 .557 .247 .100 .005 r_peak,r_snr = .2359178 7.94613 Correlation Surface of oversamples image at 646 4246 .052 .164 .324 .458 .476 .364 .204 .089 .041 .111 .275 .486 .642 .649 .482 .258 .111 .051 .170 .378 .637 .815 .812 .597 .313 .134 .065 .208 .444 .738 .937 .937 .693 .364 .157 .082 .226 .462 .758 .975 1.000 .760 .407 .179 .098 .236 .447 .704 .918 .976 .773 .429 .191 .101 .250 .419 .604 .783 .863 .711 .408 .176 .079 .262 .377 .479 .603 .685 .583 .335 .129 .038 .262 .322 .353 .420 .491 .429 .237 .072 .008 646 .313 4246 .563 7.94613 .013891 .484922 -.036046 Correlation Surface at 746 4246 .016 .037 .024 .047 .092 .069 .045 .080 .217 .000 .029 .034 .068 .085 .031 .025 .043 .106 .004 .048 .085 .157 .194 .043 .017 .057 .104 .058 .098 .146 .361 .569 .157 .047 .105 .146 .142 .109 .123 .527 1.000 .311 .102 .125 .132 .187 .069 .055 .413 .861 .297 .097 .099 .091 .179 .047 .028 .208 .420 .189 .062 .072 .056 .111 .052 .049 .153 .246 .129 .043 .044 .037 .056 .075 .119 .244 .351 .173 .066 .033 .038 r_peak,r_snr = .161257 6.91021 Correlation Surface of oversamples image at 746 4246 .064 .081 .132 .183 .170 .089 .019 .000 .001 .101 .143 .241 .344 .331 .186 .047 .002 .000 .126 .207 .373 .563 .576 .353 .111 .014 .001 .125 .242 .482 .777 .839 .547 .197 .037 .008 .097 .229 .516 .887 1.000 .674 .254 .055 .014 .056 .172 .450 .824 .965 .661 .248 .055 .015 .023 .099 .314 .618 .748 .517 .188 .040 .012 .008 .048 .182 .385 .482 .333 .115 .025 .012 .004 .024 .101 .219 .280 .191 .062 .016 .015 746 -.125 4246 -.844 6.91021 .010075 .041069 -.002067 Correlation Surface at 846 4246 .003 .045 .160 .455 .764 .620 .456 .381 .274 .007 .056 .190 .515 .826 .648 .502 .420 .354 .014 .079 .244 .598 .892 .660 .492 .385 .331 .017 .101 .299 .695 .978 .691 .445 .336 .265 .016 .101 .298 .690 1.000 .738 .402 .304 .241 .024 .090 .274 .579 .884 .729 .357 .258 .232 .039 .080 .257 .462 .704 .663 .321 .211 .204 .043 .070 .234 .377 .552 .575 .318 .191 .168 .046 .071 .202 .317 .452 .503 .333 .199 .147 r_peak,r_snr = .4051639 7.70236 Correlation Surface of oversamples image at 846 4246 .195 .338 .536 .746 .864 .818 .666 .514 .415 .225 .385 .596 .808 .915 .846 .664 .489 .378 .252 .428 .653 .867 .961 .868 .660 .466 .347 .272 .456 .691 .907 .992 .886 .662 .456 .330 .281 .465 .699 .914 1.000 .900 .677 .464 .329 .283 .457 .673 .880 .977 .902 .698 .484 .338 .277 .436 .620 .805 .919 .883 .711 .503 .348 .265 .406 .551 .706 .830 .837 .706 .510 .349 .245 .368 .480 .605 .729 .773 .682 .503 .342 846 -.031 4246 .875 7.70236 .005583 .066598 -.006067 Correlation Surface at 946 4246 .082 .212 .432 .754 .876 .709 .505 .278 .101 .085 .217 .432 .733 .903 .755 .513 .273 .110 .104 .248 .449 .720 .938 .816 .541 .283 .119 .119 .261 .450 .719 .973 .866 .577 .299 .122 .124 .255 .440 .723 1.000 .897 .592 .305 .114 .119 .249 .431 .707 .958 .871 .566 .299 .110 .108 .245 .427 .663 .846 .776 .509 .286 .112 .107 .246 .436 .618 .739 .682 .456 .266 .107 .113 .252 .449 .606 .692 .651 .441 .257 .109 r_peak,r_snr = .5124025 5.02747 Correlation Surface of oversamples image at 946 4246 .454 .605 .761 .880 .917 .875 .789 .683 .572 .461 .607 .763 .894 .944 .909 .823 .714 .598 .462 .604 .765 .906 .969 .940 .855 .747 .630 .456 .598 .763 .915 .990 .966 .881 .774 .660 .446 .588 .756 .916 1.000 .981 .897 .790 .677 .434 .575 .742 .902 .993 .980 .897 .790 .680 .423 .561 .721 .874 .965 .957 .879 .775 .669 .415 .548 .698 .837 .921 .916 .843 .747 .649 .412 .536 .675 .796 .867 .863 .797 .710 .622 946 .156 4246 1.781 5.02747 .005001 .105807 -.001411 Correlation Surface at 1046 4246 .102 .301 .547 .821 .611 .387 .288 .156 .022 .093 .283 .546 .859 .767 .473 .275 .135 .024 .076 .243 .470 .780 .900 .612 .300 .124 .040 .047 .209 .429 .719 .967 .718 .334 .104 .041 .023 .165 .424 .729 1.000 .763 .363 .092 .028 .015 .132 .431 .734 .947 .744 .377 .093 .020 .016 .126 .395 .664 .845 .687 .380 .106 .021 .013 .121 .334 .571 .796 .674 .386 .133 .028 .007 .098 .265 .494 .780 .694 .406 .189 .053 r_peak,r_snr = .3155341 6.38255 Correlation Surface of oversamples image at 1046 4246 .482 .624 .756 .837 .825 .716 .555 .400 .272 .448 .579 .719 .840 .878 .796 .629 .451 .299 .433 .557 .702 .850 .928 .865 .686 .487 .317 .432 .557 .705 .871 .973 .918 .724 .508 .329 .440 .570 .721 .892 1.000 .944 .742 .518 .338 .454 .589 .735 .900 .999 .937 .739 .522 .347 .464 .600 .734 .882 .965 .896 .711 .515 .354 .459 .588 .709 .838 .905 .834 .666 .497 .354 .439 .557 .666 .781 .839 .771 .620 .474 .349 1046 .094 4246 1.219 6.38255 .011612 .322099 -.002192 Correlation Surface at 1146 4246 .360 .425 .545 .658 .720 .719 .563 .410 .342 .352 .409 .519 .677 .823 .870 .638 .434 .355 .373 .423 .540 .730 .918 .976 .715 .450 .348 .421 .453 .593 .826 .983 .949 .702 .432 .318 .465 .486 .617 .892 1.000 .859 .635 .401 .270 .479 .524 .616 .865 .957 .798 .606 .394 .233 .475 .557 .636 .818 .900 .773 .593 .399 .226 .479 .570 .661 .797 .851 .750 .554 .376 .232 .513 .581 .648 .763 .800 .690 .501 .335 .231 r_peak,r_snr = .4660583 2.43829 Correlation Surface of oversamples image at 1146 4246 .536 .582 .644 .726 .805 .840 .823 .775 .714 .559 .621 .698 .791 .870 .886 .836 .760 .686 .584 .657 .753 .858 .932 .921 .833 .727 .641 .611 .685 .792 .909 .978 .942 .822 .694 .599 .638 .703 .810 .932 1.000 .950 .813 .674 .575 .664 .715 .809 .927 .996 .950 .815 .675 .575 .688 .726 .802 .904 .975 .947 .830 .698 .596 .705 .739 .795 .877 .947 .943 .855 .735 .628 .709 .745 .788 .850 .916 .933 .876 .768 .652 1146 -.438 4246 -1.313 2.43829 .029178 .286218 .066541 Correlation Surface at 1246 4246 .095 .243 .388 .554 .710 .625 .390 .186 .067 .089 .220 .369 .572 .743 .671 .441 .226 .081 .094 .224 .385 .646 .821 .716 .483 .270 .101 .093 .235 .414 .718 .923 .777 .503 .294 .120 .080 .237 .442 .749 1.000 .856 .529 .311 .141 .068 .226 .450 .724 .983 .894 .569 .340 .161 .063 .211 .431 .670 .913 .883 .605 .371 .177 .063 .194 .398 .619 .848 .857 .617 .373 .179 .062 .177 .360 .575 .791 .814 .597 .350 .171 r_peak,r_snr = .6764461 5.30825 Correlation Surface of oversamples image at 1246 4246 .513 .671 .831 .927 .912 .801 .655 .526 .428 .517 .673 .836 .947 .950 .846 .694 .555 .450 .521 .672 .835 .958 .978 .885 .734 .590 .479 .521 .667 .829 .960 .996 .917 .772 .626 .511 .512 .652 .812 .950 1.000 .937 .801 .655 .536 .496 .630 .787 .928 .989 .941 .816 .672 .548 .476 .603 .755 .896 .964 .930 .816 .674 .544 .458 .579 .723 .860 .933 .910 .806 .665 .530 1246 .438 4246 1.781 5.30825 .001877 .017991 -.001510 Correlation Surface at 1346 4246 .176 .275 .434 .652 .691 .556 .358 .265 .219 .165 .265 .399 .637 .734 .580 .323 .231 .221 .178 .283 .411 .694 .869 .688 .361 .234 .196 .239 .341 .477 .770 .995 .794 .418 .249 .162 .325 .445 .574 .828 1.000 .776 .415 .233 .141 .347 .542 .665 .853 .923 .667 .382 .226 .144 .297 .531 .694 .808 .827 .585 .375 .270 .177 .262 .441 .629 .724 .735 .567 .400 .331 .218 .272 .400 .543 .666 .689 .565 .411 .333 .227 r_peak,r_snr = .463143 4.30956 Correlation Surface of oversamples image at 1346 4246 .424 .546 .680 .780 .814 .761 .629 .475 .349 .448 .577 .725 .840 .879 .818 .678 .518 .388 .485 .618 .773 .900 .948 .885 .735 .567 .435 .531 .664 .813 .941 .996 .935 .780 .605 .472 .583 .706 .837 .951 1.000 .942 .793 .621 .487 .632 .736 .839 .929 .962 .900 .763 .607 .480 .679 .754 .829 .893 .904 .832 .703 .570 .460 .722 .767 .813 .854 .844 .757 .632 .522 .438 .755 .772 .792 .814 .790 .692 .567 .476 .421 1346 .000 4246 -.781 4.30956 .010152 .134910 .022536 Correlation Surface at 1446 4246 .092 .203 .362 .617 .844 .755 .410 .211 .111 .092 .224 .409 .650 .813 .708 .381 .207 .106 .088 .229 .475 .726 .851 .690 .365 .209 .123 .095 .244 .538 .806 .969 .723 .347 .195 .132 .122 .266 .526 .780 1.000 .738 .329 .175 .121 .151 .278 .459 .685 .892 .714 .333 .170 .108 .137 .267 .429 .632 .791 .679 .353 .171 .091 .089 .248 .470 .680 .772 .630 .339 .157 .058 .077 .255 .530 .776 .787 .557 .292 .145 .039 r_peak,r_snr = .4248453 5.96138 Correlation Surface of oversamples image at 1446 4246 .397 .502 .612 .724 .807 .810 .719 .573 .433 .447 .567 .677 .777 .841 .820 .705 .548 .409 .488 .623 .737 .840 .899 .858 .712 .532 .385 .506 .650 .772 .891 .961 .908 .732 .523 .363 .493 .632 .763 .906 1.000 .949 .752 .518 .345 .458 .584 .720 .883 .999 .963 .764 .517 .336 .415 .528 .666 .835 .962 .945 .763 .520 .336 .379 .483 .618 .781 .904 .903 .749 .524 .345 .356 .458 .588 .735 .844 .849 .724 .525 .356 1446 .156 4246 -.188 5.96138 .006259 .055370 -.004284 Correlation Surface at 1546 4246 .133 .224 .387 .517 .616 .564 .411 .285 .226 .107 .186 .426 .648 .697 .577 .406 .288 .242 .109 .178 .399 .733 .816 .643 .438 .311 .258 .128 .200 .350 .722 .931 .711 .458 .333 .269 .152 .243 .364 .693 1.000 .732 .412 .315 .268 .166 .278 .404 .655 .945 .687 .343 .256 .250 .160 .273 .390 .572 .781 .632 .341 .230 .237 .141 .234 .335 .485 .652 .603 .408 .259 .237 .114 .191 .300 .441 .598 .573 .445 .307 .240 r_peak,r_snr = .4372455 4.51337 Correlation Surface of oversamples image at 1546 4246 .212 .390 .606 .763 .786 .683 .529 .406 .323 .192 .363 .600 .809 .867 .765 .588 .442 .349 .184 .339 .581 .834 .941 .848 .647 .465 .351 .189 .327 .558 .839 .991 .912 .687 .467 .327 .202 .324 .537 .819 1.000 .936 .697 .451 .290 .212 .322 .511 .772 .955 .906 .674 .427 .259 .211 .310 .474 .700 .862 .829 .629 .407 .245 .195 .284 .428 .616 .749 .731 .581 .402 .254 .170 .250 .379 .539 .647 .643 .543 .411 .284 1546 .125 4246 -.594 4.51337 .004118 .061019 -.001478 Correlation Surface at 1646 4246 .346 .385 .351 .351 .552 .650 .513 .396 .321 .355 .413 .356 .367 .498 .555 .427 .346 .291 .328 .430 .387 .431 .535 .541 .403 .362 .335 .341 .455 .461 .564 .750 .688 .464 .392 .405 .353 .468 .543 .701 1.000 .895 .553 .391 .403 .325 .454 .565 .723 .992 .943 .633 .399 .346 .306 .436 .531 .626 .799 .842 .703 .463 .330 .319 .450 .512 .554 .693 .772 .720 .530 .367 .335 .458 .499 .526 .642 .740 .667 .528 .401 r_peak,r_snr = .351697 3.76292 Correlation Surface of oversamples image at 1646 4246 .355 .410 .503 .569 .574 .523 .440 .364 .318 .405 .476 .603 .696 .690 .603 .488 .394 .336 .464 .549 .706 .834 .828 .706 .552 .431 .352 .518 .610 .784 .941 .946 .805 .622 .474 .370 .550 .640 .810 .977 1.000 .869 .683 .520 .393 .546 .627 .779 .932 .970 .874 .718 .561 .423 .519 .586 .713 .838 .880 .827 .723 .595 .462 .487 .540 .644 .740 .776 .756 .701 .615 .501 .463 .504 .591 .666 .693 .686 .661 .610 .523 1646 .313 4246 .531 3.76292 .013088 .028699 -.002076 Correlation Surface at 1746 4246 .168 .211 .271 .408 .499 .535 .496 .418 .254 .187 .240 .289 .406 .458 .450 .433 .380 .210 .241 .311 .393 .504 .565 .497 .409 .357 .204 .279 .375 .530 .688 .840 .650 .421 .345 .213 .233 .359 .547 .736 1.000 .745 .407 .310 .213 .187 .320 .484 .612 .854 .727 .402 .259 .189 .204 .328 .455 .497 .630 .649 .443 .271 .178 .257 .354 .420 .419 .533 .607 .514 .378 .226 .279 .333 .344 .360 .561 .639 .578 .496 .304 r_peak,r_snr = .3156845 4.72979 Correlation Surface of oversamples image at 1746 4246 .430 .479 .527 .567 .592 .571 .496 .417 .375 .516 .576 .631 .675 .699 .664 .557 .444 .377 .591 .660 .732 .797 .830 .778 .634 .485 .393 .630 .701 .793 .893 .948 .884 .705 .523 .409 .628 .689 .790 .917 1.000 .941 .749 .548 .416 .597 .640 .727 .856 .956 .921 .748 .555 .418 .558 .583 .642 .744 .842 .834 .706 .548 .424 .531 .543 .573 .636 .712 .726 .648 .541 .444 .520 .527 .536 .561 .613 .637 .603 .546 .483 1746 .094 4246 .063 4.72979 .011560 .030136 -.003634 Correlation Surface at 1846 4246 .031 .006 .008 .153 .393 .244 .107 .068 .005 .034 .005 .014 .236 .613 .354 .145 .077 .004 .033 .004 .019 .317 .829 .476 .174 .074 .003 .027 .004 .021 .361 .964 .597 .210 .078 .003 .019 .005 .025 .396 1.000 .649 .226 .084 .005 .014 .005 .032 .426 .927 .574 .182 .071 .007 .010 .002 .033 .376 .782 .459 .131 .056 .006 .009 .000 .029 .270 .621 .372 .103 .050 .005 .011 .000 .022 .189 .476 .300 .078 .029 .001 r_peak,r_snr = .3628565 14.93718 Correlation Surface of oversamples image at 1846 4246 .016 .095 .289 .542 .673 .577 .381 .235 .168 .018 .106 .330 .629 .791 .688 .452 .266 .174 .018 .115 .362 .700 .892 .788 .523 .299 .179 .018 .120 .385 .749 .964 .869 .586 .330 .186 .019 .125 .397 .772 1.000 .916 .627 .353 .191 .021 .134 .405 .772 .995 .918 .634 .356 .189 .026 .146 .413 .753 .954 .873 .598 .333 .174 .032 .157 .410 .712 .881 .791 .531 .288 .149 .037 .159 .389 .652 .792 .699 .455 .238 .122 1846 .125 4246 -.250 14.93718 .002840 .142202 .004564 Correlation Surface at 1946 4246 .086 .170 .340 .631 .780 .581 .346 .194 .085 .082 .186 .362 .603 .765 .584 .346 .223 .108 .082 .172 .368 .609 .753 .579 .361 .250 .129 .076 .163 .407 .728 .867 .668 .391 .263 .130 .061 .152 .426 .865 1.000 .800 .430 .262 .124 .044 .120 .380 .850 .963 .850 .473 .265 .141 .042 .104 .331 .712 .819 .823 .519 .278 .166 .067 .138 .319 .581 .717 .789 .559 .298 .157 .109 .196 .304 .465 .636 .712 .541 .293 .123 r_peak,r_snr = .3482611 6.31993 Correlation Surface of oversamples image at 1946 4246 .366 .545 .710 .820 .874 .868 .793 .646 .472 .357 .562 .764 .887 .925 .912 .850 .709 .512 .339 .566 .808 .947 .969 .948 .902 .771 .557 .314 .558 .833 .988 .997 .969 .937 .823 .605 .285 .537 .831 .996 1.000 .971 .953 .862 .652 .263 .514 .808 .971 .978 .960 .961 .897 .707 .256 .492 .766 .916 .929 .931 .957 .925 .763 .265 .470 .703 .830 .851 .870 .919 .920 .792 .286 .449 .630 .733 .763 .791 .848 .876 .781 1946 -.750 4246 .813 6.31993 .019477 .066963 -.004946 Correlation Surface at 2046 4246 .002 .062 .293 .603 .750 .656 .399 .126 .028 .007 .049 .220 .568 .772 .680 .418 .142 .029 .013 .060 .199 .532 .799 .671 .389 .142 .028 .014 .093 .256 .595 .906 .713 .358 .129 .028 .017 .121 .311 .686 1.000 .766 .348 .122 .033 .022 .122 .312 .685 .934 .736 .370 .142 .049 .020 .102 .288 .632 .783 .645 .419 .186 .071 .015 .084 .271 .597 .702 .593 .465 .235 .090 .013 .082 .257 .547 .676 .615 .493 .286 .108 r_peak,r_snr = .3943003 7.20597 Correlation Surface of oversamples image at 2046 4246 .186 .336 .548 .729 .784 .734 .635 .519 .397 .201 .343 .552 .744 .815 .758 .638 .509 .386 .232 .378 .591 .795 .879 .812 .660 .507 .373 .266 .422 .644 .859 .954 .877 .695 .513 .364 .287 .451 .679 .897 1.000 .926 .731 .529 .366 .292 .458 .680 .888 .991 .934 .754 .554 .386 .283 .445 .651 .833 .925 .890 .750 .576 .415 .270 .424 .609 .760 .833 .816 .722 .587 .444 .258 .405 .572 .696 .750 .743 .686 .589 .470 2046 .063 4246 .188 7.20597 .005900 .052663 .002330 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .090 .155 .253 .366 .384 .299 .170 .106 .090 .108 .182 .266 .382 .487 .385 .214 .139 .103 .133 .212 .293 .464 .604 .433 .245 .162 .106 .142 .216 .315 .662 .832 .439 .200 .141 .087 .121 .189 .301 .773 1.000 .481 .183 .118 .066 .111 .189 .291 .639 .803 .476 .247 .142 .072 .117 .220 .319 .514 .532 .366 .282 .184 .125 .099 .214 .321 .487 .451 .300 .223 .169 .159 .076 .176 .268 .404 .443 .331 .214 .138 .120 r_peak,r_snr = .4113456 8.399 Correlation Surface of oversamples image at 146 4646 .232 .312 .415 .514 .553 .489 .365 .259 .196 .236 .352 .504 .633 .665 .556 .386 .258 .192 .229 .385 .603 .783 .811 .648 .416 .251 .173 .211 .396 .673 .909 .947 .748 .460 .253 .159 .187 .374 .673 .940 1.000 .809 .505 .270 .159 .166 .330 .600 .850 .927 .786 .523 .296 .178 .156 .292 .503 .697 .763 .673 .488 .311 .205 .162 .277 .431 .557 .590 .526 .410 .299 .223 .183 .291 .405 .474 .469 .406 .327 .262 .217 146 .844 4646 -.063 8.39900 .003013 .010472 -.000321 Correlation Surface at 246 4646 .002 .003 .012 .020 .009 .011 .022 .022 .010 .018 .020 .024 .020 .027 .024 .030 .042 .016 .036 .049 .053 .066 .180 .082 .031 .045 .021 .040 .054 .068 .189 .666 .266 .036 .030 .022 .019 .025 .033 .212 1.000 .463 .047 .025 .031 .004 .005 .009 .099 .567 .354 .036 .015 .041 .003 .001 .010 .045 .154 .162 .016 .002 .023 .015 .011 .032 .055 .069 .107 .015 .000 .006 .026 .034 .041 .054 .052 .101 .040 .005 .003 r_peak,r_snr = .3023901 45.89006 Correlation Surface of oversamples image at 246 4646 .108 .071 .078 .114 .118 .065 .016 .001 .000 .119 .098 .141 .249 .298 .186 .052 .005 .001 .104 .109 .208 .432 .583 .410 .137 .021 .003 .070 .096 .239 .581 .871 .677 .262 .052 .008 .037 .067 .217 .607 1.000 .849 .364 .082 .012 .016 .038 .155 .488 .880 .816 .382 .092 .011 .005 .017 .084 .295 .585 .597 .309 .077 .006 .002 .008 .037 .134 .292 .335 .197 .051 .001 .002 .005 .015 .046 .109 .147 .104 .030 .000 246 .125 4646 .063 45.89006 .002226 .006191 -.000462 Correlation Surface at 346 4646 .092 .192 .236 .285 .530 .607 .314 .172 .189 .080 .208 .282 .352 .642 .702 .377 .201 .172 .074 .211 .351 .483 .813 .805 .420 .231 .158 .079 .182 .373 .616 .988 .847 .424 .242 .155 .083 .152 .325 .598 1.000 .828 .441 .239 .155 .089 .145 .284 .504 .867 .822 .484 .228 .132 .093 .142 .287 .480 .768 .863 .556 .226 .097 .097 .131 .299 .525 .785 .894 .602 .233 .075 .104 .139 .299 .536 .851 .869 .564 .234 .089 r_peak,r_snr = .3111227 5.95798 Correlation Surface of oversamples image at 346 4646 .340 .472 .683 .875 .914 .776 .554 .357 .226 .358 .503 .725 .916 .936 .776 .544 .346 .219 .373 .527 .761 .961 .971 .785 .535 .332 .208 .371 .525 .769 .986 .997 .790 .523 .315 .192 .349 .493 .737 .971 1.000 .792 .516 .302 .178 .321 .450 .679 .927 .990 .802 .524 .302 .172 .302 .415 .623 .875 .979 .824 .549 .317 .178 .301 .404 .590 .835 .974 .860 .593 .350 .195 .322 .422 .589 .819 .977 .904 .650 .396 .222 346 .281 4646 -.313 5.95798 .009765 .124568 -.007256 Correlation Surface at 446 4646 .030 .008 .001 .000 .021 .000 .080 .110 .012 .018 .001 .001 .008 .007 .001 .044 .081 .086 .002 .005 .027 .122 .128 .008 .062 .099 .142 .060 .079 .147 .350 .650 .134 .104 .197 .102 .133 .160 .211 .364 1.000 .397 .069 .282 .038 .143 .193 .145 .197 .633 .456 .007 .199 .007 .081 .148 .081 .115 .292 .313 .005 .073 .011 .003 .060 .041 .106 .186 .222 .024 .020 .053 .025 .016 .013 .047 .071 .094 .021 .020 .083 r_peak,r_snr = .1357912 16.75621 Correlation Surface of oversamples image at 446 4646 .011 .049 .115 .160 .132 .049 .002 .009 .040 .060 .138 .263 .381 .379 .216 .050 .000 .028 .137 .241 .416 .634 .720 .507 .179 .012 .022 .192 .292 .477 .769 .975 .797 .353 .045 .018 .188 .259 .417 .715 1.000 .929 .489 .088 .011 .142 .184 .300 .549 .834 .862 .526 .125 .003 .088 .115 .201 .385 .611 .682 .471 .148 .000 .054 .079 .153 .291 .456 .529 .408 .171 .015 .039 .069 .147 .266 .394 .460 .383 .205 .056 446 .156 4646 -.125 16.75621 .014183 .042958 -.008926 Correlation Surface at 546 4646 .009 .004 .016 .201 .336 .177 .016 .000 .004 .000 .001 .050 .309 .371 .090 .000 .004 .001 .019 .033 .021 .369 .528 .098 .000 .002 .009 .045 .107 .000 .396 .927 .312 .044 .004 .032 .038 .110 .005 .273 1.000 .551 .183 .019 .043 .035 .106 .015 .120 .557 .432 .192 .031 .026 .025 .125 .039 .043 .237 .223 .106 .066 .000 .009 .155 .083 .018 .174 .134 .081 .109 .017 .003 .134 .062 .013 .178 .088 .076 .107 .013 r_peak,r_snr = .1717869 19.07724 Correlation Surface of oversamples image at 546 4646 .016 .123 .286 .404 .337 .155 .043 .011 .003 .004 .112 .305 .478 .453 .243 .081 .026 .010 .000 .089 .331 .596 .649 .416 .173 .066 .029 .010 .063 .348 .715 .868 .649 .323 .142 .068 .024 .043 .334 .758 1.000 .842 .484 .238 .119 .029 .030 .285 .681 .957 .891 .579 .315 .163 .023 .025 .222 .521 .762 .775 .564 .335 .177 .017 .021 .157 .343 .506 .556 .448 .282 .148 .017 .014 .104 .204 .292 .342 .306 .201 .104 546 .094 4646 -.313 19.07724 .009696 .045669 -.007726 Correlation Surface at 646 4646 .045 .008 .025 .002 .575 .270 .026 .022 .087 .011 .004 .061 .024 .365 .199 .008 .034 .034 .056 .005 .012 .006 .285 .160 .014 .000 .001 .234 .035 .018 .116 .624 .322 .045 .066 .093 .278 .046 .101 .539 1.000 .642 .113 .222 .219 .096 .002 .103 .591 .758 .715 .147 .224 .164 .017 .003 .024 .289 .429 .501 .154 .132 .164 .020 .000 .001 .092 .246 .318 .150 .133 .367 .036 .005 .002 .015 .148 .243 .108 .144 .448 r_peak,r_snr = .10605 11.20497 Correlation Surface of oversamples image at 646 4646 .112 .095 .008 .069 .275 .286 .118 .014 .002 .023 .005 .020 .211 .472 .436 .173 .020 .000 .001 .032 .152 .450 .752 .668 .287 .046 .003 .037 .153 .351 .681 .975 .870 .420 .092 .018 .098 .275 .491 .770 1.000 .917 .507 .143 .038 .133 .303 .491 .685 .822 .780 .499 .171 .046 .110 .218 .363 .495 .559 .551 .415 .166 .035 .064 .110 .213 .319 .355 .363 .325 .154 .025 .025 .035 .096 .187 .226 .242 .251 .142 .021 646 .156 4646 3.813 11.20497 .050433 .089420 .011718 Correlation Surface at 746 4646 .000 .070 .241 .385 .548 .313 .110 .058 .023 .000 .063 .279 .503 .730 .406 .113 .031 .012 .000 .042 .270 .574 .872 .445 .099 .016 .008 .000 .036 .268 .640 .988 .483 .103 .021 .015 .000 .043 .284 .705 1.000 .482 .132 .036 .026 .000 .044 .242 .627 .808 .361 .119 .027 .017 .004 .041 .167 .461 .605 .238 .062 .008 .002 .017 .053 .145 .382 .550 .231 .046 .003 .000 .040 .080 .191 .405 .579 .303 .084 .014 .001 r_peak,r_snr = .2893743 10.95692 Correlation Surface of oversamples image at 746 4646 .153 .334 .554 .708 .707 .554 .355 .202 .110 .159 .342 .571 .754 .782 .618 .378 .198 .103 .184 .371 .611 .821 .877 .705 .424 .211 .105 .220 .412 .662 .891 .964 .786 .476 .231 .109 .246 .440 .695 .930 1.000 .816 .499 .243 .108 .243 .428 .682 .915 .967 .776 .473 .231 .096 .209 .373 .619 .844 .875 .677 .405 .195 .074 .165 .304 .532 .746 .765 .570 .328 .152 .051 .133 .247 .453 .659 .683 .500 .278 .123 .036 746 -.094 4646 .063 10.95692 .006182 .076417 .004211 Correlation Surface at 846 4646 .033 .148 .399 .633 .732 .673 .391 .161 .058 .024 .125 .363 .627 .772 .700 .415 .182 .067 .013 .104 .349 .651 .816 .718 .430 .199 .073 .007 .094 .359 .710 .904 .768 .444 .209 .079 .004 .081 .344 .728 1.000 .858 .470 .221 .087 .003 .068 .301 .672 .962 .882 .509 .252 .104 .003 .062 .268 .598 .829 .794 .518 .292 .127 .002 .059 .250 .555 .743 .711 .500 .309 .141 .001 .048 .220 .500 .701 .686 .500 .305 .142 r_peak,r_snr = .6592723 6.35211 Correlation Surface of oversamples image at 846 4646 .396 .540 .656 .751 .819 .822 .742 .605 .452 .396 .553 .686 .793 .859 .850 .752 .604 .451 .390 .560 .717 .844 .915 .893 .777 .613 .454 .374 .552 .731 .885 .969 .942 .809 .628 .459 .349 .527 .719 .897 1.000 .979 .840 .648 .469 .324 .495 .689 .877 .998 .992 .862 .670 .488 .304 .467 .652 .836 .963 .975 .866 .690 .513 .291 .448 .622 .791 .911 .936 .853 .702 .541 .285 .439 .604 .755 .862 .891 .831 .706 .565 846 .219 4646 -.656 6.35211 .001968 .011422 -.001328 Correlation Surface at 946 4646 .301 .425 .582 .655 .710 .663 .639 .581 .442 .341 .461 .653 .755 .779 .684 .660 .601 .475 .380 .483 .678 .855 .881 .733 .683 .634 .510 .379 .464 .634 .884 .977 .798 .695 .635 .514 .345 .415 .564 .845 1.000 .822 .664 .596 .490 .316 .372 .515 .787 .933 .785 .631 .555 .469 .323 .365 .500 .754 .852 .739 .648 .556 .453 .345 .383 .499 .715 .800 .703 .659 .560 .440 .354 .417 .513 .655 .762 .675 .601 .523 .440 r_peak,r_snr = .5632201 2.56179 Correlation Surface of oversamples image at 946 4646 .589 .707 .811 .879 .871 .792 .708 .661 .639 .602 .737 .855 .932 .926 .840 .740 .678 .649 .594 .744 .880 .969 .968 .878 .766 .689 .651 .569 .730 .885 .989 .992 .900 .778 .687 .638 .537 .705 .877 .993 1.000 .907 .778 .675 .615 .507 .679 .860 .984 .996 .903 .771 .662 .593 .484 .654 .838 .964 .980 .893 .767 .658 .586 .467 .633 .812 .935 .957 .883 .769 .669 .598 .454 .610 .780 .898 .926 .870 .775 .690 .624 946 -.219 4646 .094 2.56178 .004884 .044568 -.003562 Correlation Surface at 1046 4646 .146 .084 .057 .163 .341 .242 .047 .028 .020 .194 .105 .075 .128 .202 .188 .072 .030 .008 .163 .112 .114 .237 .266 .178 .129 .076 .005 .110 .109 .159 .487 .652 .329 .174 .110 .008 .070 .102 .195 .610 1.000 .570 .181 .085 .017 .036 .087 .204 .491 .747 .579 .207 .085 .053 .014 .073 .171 .329 .405 .396 .218 .128 .121 .011 .075 .131 .225 .342 .308 .167 .140 .145 .020 .101 .129 .182 .428 .378 .133 .103 .084 r_peak,r_snr = .2150636 11.79729 Correlation Surface of oversamples image at 1046 4646 .100 .166 .204 .159 .085 .042 .022 .008 .000 .141 .267 .369 .342 .229 .137 .086 .061 .033 .194 .383 .570 .618 .506 .345 .220 .154 .104 .238 .464 .712 .864 .821 .614 .380 .229 .141 .262 .493 .741 .951 1.000 .805 .486 .244 .116 .266 .483 .680 .860 .955 .818 .494 .212 .067 .233 .425 .558 .659 .737 .668 .414 .157 .027 .178 .340 .432 .464 .502 .477 .315 .115 .010 .127 .255 .331 .337 .346 .334 .235 .088 .005 1046 -.094 4646 .125 11.79729 .011809 .021161 -.003163 Correlation Surface at 1146 4646 .276 .383 .614 .748 .830 .804 .660 .521 .465 .255 .293 .508 .690 .836 .833 .659 .545 .519 .269 .283 .425 .652 .879 .892 .681 .578 .531 .292 .342 .457 .699 .962 .961 .712 .593 .520 .262 .350 .496 .741 1.000 .970 .684 .549 .518 .225 .300 .460 .732 .962 .896 .604 .471 .513 .224 .286 .426 .749 .897 .786 .566 .430 .466 .261 .325 .452 .815 .872 .708 .599 .456 .406 .307 .376 .509 .849 .878 .685 .617 .497 .382 r_peak,r_snr = .433758 2.51267 Correlation Surface of oversamples image at 1146 4646 .512 .624 .727 .818 .861 .822 .723 .617 .551 .524 .650 .764 .859 .903 .868 .770 .656 .579 .554 .685 .804 .902 .946 .911 .807 .681 .589 .589 .715 .834 .936 .981 .941 .822 .676 .571 .603 .726 .845 .953 1.000 .950 .811 .642 .528 .592 .714 .837 .949 .996 .937 .779 .592 .472 .564 .690 .815 .921 .962 .901 .740 .547 .425 .537 .668 .787 .874 .904 .851 .710 .528 .406 .527 .663 .767 .824 .835 .796 .692 .539 .421 1146 .500 4646 .156 2.51267 .014665 .164667 .017266 Correlation Surface at 1246 4646 .000 .009 .069 .257 .463 .424 .149 .017 .001 .000 .003 .044 .248 .530 .460 .165 .023 .001 .000 .003 .039 .287 .712 .613 .211 .034 .004 .001 .004 .050 .358 .940 .829 .283 .050 .007 .001 .004 .057 .384 1.000 .907 .340 .073 .011 .002 .001 .042 .327 .817 .784 .360 .100 .016 .002 .000 .028 .266 .601 .613 .369 .134 .026 .002 .000 .030 .254 .510 .516 .366 .165 .038 .001 .002 .043 .266 .501 .482 .330 .156 .043 r_peak,r_snr = .5093901 13.09471 Correlation Surface of oversamples image at 1246 4646 .120 .273 .480 .653 .682 .549 .346 .176 .071 .134 .311 .560 .772 .806 .641 .402 .205 .086 .150 .348 .636 .885 .921 .726 .454 .236 .103 .160 .371 .683 .956 .994 .782 .492 .263 .120 .159 .370 .684 .959 1.000 .795 .513 .285 .138 .147 .344 .637 .894 .939 .763 .515 .304 .157 .127 .304 .562 .787 .835 .703 .505 .323 .182 .109 .265 .486 .675 .725 .636 .492 .344 .211 .100 .239 .426 .582 .630 .575 .476 .359 .237 1246 .313 4646 -.219 13.09471 .001715 .010753 -.000006 Correlation Surface at 1346 4646 .063 .182 .361 .552 .770 .704 .488 .330 .200 .056 .165 .365 .572 .832 .738 .484 .332 .215 .043 .135 .324 .566 .925 .824 .502 .335 .242 .035 .114 .296 .574 .986 .920 .546 .339 .258 .033 .101 .291 .626 1.000 .924 .572 .357 .270 .033 .092 .277 .635 .970 .862 .548 .382 .290 .029 .079 .234 .531 .841 .782 .514 .391 .307 .020 .058 .189 .431 .693 .711 .513 .383 .299 .013 .043 .163 .400 .634 .677 .558 .397 .273 r_peak,r_snr = .4600276 5.06018 Correlation Surface of oversamples image at 1346 4646 .397 .498 .633 .796 .906 .871 .712 .536 .406 .386 .494 .637 .812 .938 .918 .762 .577 .432 .380 .501 .656 .835 .964 .950 .799 .611 .458 .379 .516 .685 .865 .985 .965 .818 .633 .478 .379 .530 .713 .895 1.000 .967 .819 .638 .487 .374 .531 .722 .905 .999 .954 .804 .628 .483 .361 .514 .701 .881 .972 .926 .778 .607 .468 .342 .483 .654 .823 .916 .881 .745 .582 .448 .316 .442 .591 .743 .837 .821 .706 .557 .430 1346 .125 4646 2.125 5.06018 .007457 .418313 .031726 Correlation Surface at 1446 4646 .138 .296 .473 .588 .715 .617 .329 .189 .134 .144 .298 .482 .630 .784 .687 .353 .194 .123 .154 .282 .478 .710 .887 .763 .400 .213 .132 .153 .275 .486 .799 .990 .779 .407 .216 .141 .140 .273 .485 .811 1.000 .739 .384 .218 .146 .126 .249 .449 .741 .899 .676 .361 .226 .147 .121 .221 .414 .682 .790 .616 .344 .226 .148 .131 .215 .408 .664 .763 .617 .355 .237 .161 .143 .225 .393 .635 .787 .673 .401 .270 .187 r_peak,r_snr = .5064923 4.9684 Correlation Surface of oversamples image at 1446 4646 .568 .666 .745 .817 .862 .827 .693 .510 .358 .558 .681 .786 .872 .914 .868 .723 .535 .378 .546 .689 .820 .921 .959 .898 .739 .546 .388 .536 .690 .838 .953 .990 .914 .741 .543 .388 .530 .684 .837 .960 1.000 .915 .731 .532 .381 .522 .670 .819 .943 .987 .901 .715 .517 .373 .513 .654 .793 .909 .953 .874 .695 .505 .369 .500 .639 .766 .867 .905 .837 .673 .493 .365 .487 .624 .740 .823 .852 .794 .649 .483 .360 1446 -.094 4646 -.750 4.96840 .004047 .044326 .001499 Correlation Surface at 1546 4646 .179 .412 .565 .486 .504 .460 .254 .154 .107 .151 .356 .581 .539 .540 .420 .250 .156 .097 .161 .312 .576 .695 .768 .499 .258 .158 .099 .175 .308 .584 .838 .997 .675 .304 .170 .114 .197 .342 .594 .849 1.000 .726 .358 .184 .130 .236 .396 .603 .761 .827 .591 .347 .207 .150 .273 .447 .633 .667 .610 .416 .271 .224 .190 .336 .497 .673 .580 .422 .296 .229 .200 .197 .474 .552 .696 .510 .340 .256 .239 .163 .161 r_peak,r_snr = .2882432 5.02058 Correlation Surface of oversamples image at 1546 4646 .128 .261 .406 .535 .597 .528 .375 .266 .227 .113 .271 .463 .650 .748 .651 .425 .270 .221 .107 .282 .510 .750 .897 .794 .503 .289 .217 .111 .295 .537 .803 .992 .911 .590 .327 .223 .124 .308 .539 .797 1.000 .954 .653 .374 .244 .141 .319 .526 .749 .926 .905 .662 .411 .272 .157 .331 .514 .688 .813 .795 .617 .423 .297 .172 .345 .507 .633 .699 .671 .544 .407 .308 .185 .361 .504 .583 .599 .562 .474 .378 .304 1546 .156 4646 .313 5.02058 .019884 .100023 .001508 Correlation Surface at 1646 4646 .252 .412 .523 .619 .731 .723 .600 .532 .434 .243 .389 .526 .657 .763 .715 .589 .525 .414 .236 .364 .530 .724 .837 .703 .540 .483 .401 .239 .354 .531 .768 .926 .725 .502 .449 .391 .236 .337 .513 .772 1.000 .796 .506 .448 .381 .226 .315 .486 .747 .999 .852 .541 .463 .373 .232 .314 .467 .697 .929 .841 .568 .472 .373 .249 .338 .464 .628 .843 .808 .575 .476 .392 .253 .354 .467 .583 .788 .795 .584 .495 .428 r_peak,r_snr = .6265515 3.12463 Correlation Surface of oversamples image at 1646 4646 .643 .728 .825 .887 .864 .754 .607 .496 .442 .646 .750 .862 .931 .902 .773 .607 .486 .431 .632 .749 .880 .970 .950 .810 .623 .490 .430 .601 .727 .873 .986 .989 .854 .652 .503 .436 .565 .692 .843 .972 1.000 .883 .681 .520 .443 .532 .655 .802 .935 .980 .887 .698 .533 .449 .506 .622 .760 .888 .941 .866 .696 .536 .452 .490 .596 .723 .843 .897 .834 .678 .530 .452 .482 .577 .693 .808 .864 .806 .660 .523 .454 1646 .313 4646 -.188 3.12463 .002521 .041183 -.004238 Correlation Surface at 1746 4646 .000 .020 .107 .287 .519 .577 .358 .185 .163 .031 .067 .178 .362 .480 .449 .354 .211 .160 .026 .073 .220 .435 .528 .366 .287 .185 .138 .001 .027 .128 .391 .778 .502 .264 .105 .101 .002 .014 .054 .279 1.000 .743 .323 .077 .098 .005 .022 .050 .205 .951 .784 .410 .135 .153 .009 .029 .104 .192 .768 .662 .422 .234 .243 .002 .041 .169 .226 .670 .616 .402 .260 .270 .002 .080 .221 .310 .650 .607 .392 .186 .155 r_peak,r_snr = .1875403 8.17876 Correlation Surface of oversamples image at 1746 4646 .724 1.120 1.845 2.816 3.281 2.863 2.131 1.498 1.020 .714 1.107 1.810 2.762 3.300 2.975 2.255 1.630 1.203 .727 1.127 1.826 2.767 3.384 3.187 2.463 1.745 1.245 .925 1.366 2.078 3.001 3.658 3.571 2.841 1.951 1.263 1746 .688 4646 2.813 8.17876 .014008 .154888 -.026328 Correlation Surface at 1846 4646 .041 .288 .424 .458 .276 .112 .005 .003 .000 .056 .264 .439 .574 .397 .134 .010 .000 .007 .051 .174 .408 .758 .644 .159 .005 .000 .008 .021 .096 .364 .903 .906 .210 .003 .002 .001 .000 .032 .275 .917 1.000 .275 .008 .004 .001 .021 .001 .152 .772 .925 .318 .036 .001 .003 .026 .000 .093 .610 .806 .314 .078 .023 .001 .014 .002 .119 .562 .723 .290 .098 .052 .000 .005 .017 .191 .525 .592 .284 .103 .050 .000 r_peak,r_snr = .2473773 13.41099 Correlation Surface of oversamples image at 1846 4646 .204 .278 .396 .524 .568 .490 .338 .183 .067 .194 .292 .454 .648 .741 .643 .423 .211 .072 .186 .309 .510 .762 .898 .782 .496 .231 .071 .171 .314 .542 .827 .990 .862 .536 .238 .067 .143 .296 .535 .829 1.000 .873 .541 .237 .064 .102 .253 .494 .782 .952 .837 .526 .237 .069 .057 .195 .431 .714 .882 .788 .510 .245 .083 .025 .139 .364 .643 .812 .742 .498 .258 .105 .010 .101 .314 .586 .758 .708 .494 .275 .130 1846 .563 4646 -.719 13.41099 .008814 .184731 -.018051 Correlation Surface at 1946 4646 .163 .252 .423 .610 .687 .651 .513 .370 .173 .092 .177 .401 .701 .809 .713 .515 .369 .191 .064 .158 .381 .678 .842 .730 .492 .323 .184 .045 .147 .380 .662 .932 .766 .444 .270 .173 .034 .121 .365 .655 1.000 .806 .411 .251 .189 .051 .135 .368 .602 .884 .735 .435 .282 .211 .112 .220 .432 .550 .681 .577 .455 .336 .199 .189 .307 .486 .582 .635 .496 .414 .368 .197 .203 .298 .453 .649 .796 .570 .383 .371 .225 r_peak,r_snr = .3483148 4.38739 Correlation Surface of oversamples image at 1946 4646 .453 .631 .800 .914 .920 .790 .593 .426 .308 .459 .634 .816 .944 .941 .791 .576 .397 .275 .470 .639 .832 .976 .967 .791 .558 .370 .248 .478 .635 .833 .997 .994 .800 .548 .353 .231 .474 .614 .805 .984 1.000 .806 .547 .349 .228 .458 .575 .747 .929 .967 .794 .550 .361 .241 .436 .524 .668 .832 .885 .752 .547 .382 .267 .416 .474 .581 .713 .768 .679 .528 .401 .298 .406 .438 .508 .601 .645 .592 .493 .408 .322 1946 .250 4646 -.250 4.38739 .008134 .057561 -.001221 Correlation Surface at 2046 4646 .101 .347 .472 .706 .478 .080 .010 .006 .019 .076 .313 .483 .652 .297 .028 .000 .006 .002 .053 .269 .507 .724 .321 .026 .000 .026 .021 .035 .159 .450 .979 .707 .100 .007 .007 .041 .026 .079 .321 .966 1.000 .207 .010 .003 .020 .034 .067 .228 .573 .685 .229 .014 .023 .022 .070 .115 .193 .239 .270 .176 .030 .023 .024 .090 .178 .246 .139 .134 .129 .024 .002 .001 .065 .163 .296 .166 .166 .158 .009 .000 .012 r_peak,r_snr = .1888337 12.64285 Correlation Surface of oversamples image at 2046 4646 .183 .245 .317 .368 .307 .161 .066 .037 .025 .169 .265 .387 .475 .408 .224 .096 .053 .037 .141 .270 .465 .640 .599 .363 .167 .088 .059 .105 .253 .518 .803 .836 .563 .278 .137 .083 .070 .212 .510 .877 1.000 .742 .392 .187 .102 .040 .156 .429 .801 .986 .799 .456 .221 .113 .023 .105 .309 .609 .801 .706 .446 .236 .124 .016 .070 .193 .381 .530 .516 .375 .233 .140 .020 .054 .114 .203 .293 .325 .289 .227 .165 2046 .438 4646 -.313 12.64285 .012574 .030261 -.007549 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .176 .337 .521 .760 .860 .696 .536 .394 .198 .175 .304 .468 .743 .885 .724 .557 .434 .219 .178 .297 .466 .744 .927 .793 .588 .462 .255 .176 .313 .494 .802 .983 .859 .601 .438 .261 .157 .306 .485 .821 1.000 .872 .589 .380 .233 .138 .308 .478 .742 .926 .828 .545 .321 .196 .138 .361 .554 .698 .849 .805 .506 .289 .169 .146 .398 .641 .717 .812 .806 .519 .298 .159 .151 .368 .631 .712 .769 .746 .544 .329 .161 r_peak,r_snr = .4601287 4.63979 Correlation Surface of oversamples image at 146 5046 .403 .533 .693 .840 .906 .854 .738 .628 .554 .395 .519 .680 .840 .925 .886 .770 .653 .571 .400 .522 .683 .852 .951 .924 .808 .683 .589 .417 .541 .704 .875 .980 .959 .844 .710 .601 .436 .566 .733 .900 1.000 .979 .865 .726 .603 .449 .587 .755 .913 .996 .970 .860 .722 .589 .454 .596 .756 .897 .963 .931 .829 .696 .559 .457 .594 .735 .852 .907 .878 .785 .658 .521 .468 .590 .702 .794 .846 .828 .744 .621 .486 146 .156 5046 .219 4.63979 .010216 .092203 -.003173 Correlation Surface at 246 5046 .342 .381 .292 .294 .279 .280 .271 .294 .262 .296 .425 .400 .316 .272 .202 .252 .309 .269 .255 .386 .486 .425 .451 .217 .220 .315 .254 .292 .397 .547 .566 .818 .397 .221 .282 .197 .314 .418 .551 .563 1.000 .688 .296 .256 .170 .293 .391 .494 .461 .757 .750 .388 .277 .185 .278 .339 .421 .413 .474 .534 .406 .320 .220 .246 .302 .411 .420 .377 .367 .368 .354 .251 .188 .292 .475 .430 .358 .303 .291 .338 .264 r_peak,r_snr = .2547062 4.60309 Correlation Surface of oversamples image at 246 5046 .367 .397 .472 .493 .385 .252 .204 .231 .273 .427 .469 .587 .659 .534 .338 .239 .240 .269 .476 .524 .691 .841 .726 .463 .299 .259 .265 .503 .544 .741 .971 .906 .604 .375 .286 .263 .505 .528 .719 .989 1.000 .716 .449 .317 .266 .490 .493 .643 .892 .969 .760 .503 .350 .279 .462 .453 .542 .721 .823 .713 .514 .373 .300 .433 .421 .453 .549 .633 .600 .484 .384 .330 .410 .399 .388 .416 .464 .470 .426 .380 .359 246 .250 5046 -.031 4.60309 .011168 .030897 -.007847 Correlation Surface at 346 5046 .000 .002 .044 .283 .592 .409 .098 .023 .009 .000 .001 .047 .336 .681 .463 .118 .029 .008 .001 .002 .061 .426 .832 .541 .133 .027 .006 .003 .004 .072 .465 .970 .642 .161 .030 .009 .005 .010 .074 .424 1.000 .735 .212 .043 .011 .005 .013 .074 .377 .926 .752 .256 .056 .011 .001 .007 .070 .368 .856 .691 .248 .062 .012 .000 .002 .057 .335 .779 .613 .207 .056 .011 .000 .002 .044 .269 .652 .558 .192 .051 .008 r_peak,r_snr = .4044553 11.97181 Correlation Surface of oversamples image at 346 5046 .054 .187 .420 .678 .802 .721 .525 .329 .190 .062 .204 .450 .724 .859 .774 .559 .343 .188 .069 .215 .469 .762 .920 .836 .602 .363 .190 .076 .218 .471 .782 .972 .905 .660 .397 .206 .081 .215 .458 .776 1.000 .965 .723 .446 .237 .086 .212 .441 .751 .997 .998 .774 .495 .275 .091 .215 .428 .718 .965 .992 .790 .523 .305 .099 .223 .424 .686 .914 .948 .766 .517 .312 .108 .237 .429 .664 .862 .888 .716 .485 .299 346 .219 5046 -.156 11.97181 .003206 .118386 -.008772 Correlation Surface at 446 5046 .460 .498 .598 .608 .579 .548 .483 .502 .507 .440 .466 .532 .621 .672 .596 .565 .572 .530 .407 .491 .520 .633 .826 .690 .626 .617 .492 .413 .577 .634 .728 .999 .792 .649 .672 .451 .439 .663 .791 .814 1.000 .780 .600 .648 .423 .433 .638 .825 .762 .812 .646 .473 .494 .381 .421 .555 .704 .625 .626 .572 .440 .410 .349 .443 .547 .577 .510 .560 .685 .625 .495 .386 .501 .649 .567 .479 .592 .878 .874 .623 .461 r_peak,r_snr = .328853 2.40355 Correlation Surface of oversamples image at 446 5046 .323 .399 .491 .605 .669 .652 .589 .531 .471 .330 .398 .504 .656 .746 .710 .604 .516 .454 .362 .418 .537 .726 .846 .788 .632 .512 .447 .414 .458 .584 .803 .947 .874 .682 .538 .475 .477 .503 .623 .847 1.000 .927 .730 .584 .533 .540 .542 .632 .824 .961 .902 .733 .610 .583 .587 .566 .608 .737 .840 .803 .677 .588 .584 .607 .568 .556 .619 .690 .675 .589 .524 .529 .589 .541 .491 .508 .558 .560 .501 .448 .444 446 .094 5046 .125 2.40355 .017465 .065924 .011170 Correlation Surface at 546 5046 .640 .613 .671 .824 .931 .897 .753 .687 .620 .632 .601 .646 .775 .939 .936 .739 .658 .604 .614 .612 .655 .776 .935 .962 .765 .668 .630 .582 .616 .663 .832 .969 .964 .812 .716 .672 .581 .635 .680 .880 1.000 .949 .847 .764 .693 .627 .673 .711 .886 .973 .901 .853 .773 .688 .663 .684 .716 .864 .912 .830 .815 .733 .656 .644 .666 .718 .864 .897 .784 .754 .694 .627 .592 .638 .741 .895 .937 .796 .724 .692 .636 r_peak,r_snr = .6564448 1.68627 Correlation Surface of oversamples image at 546 5046 .740 .751 .782 .829 .869 .887 .879 .850 .799 .763 .778 .814 .867 .903 .908 .890 .861 .821 .773 .799 .847 .910 .946 .937 .902 .868 .837 .772 .807 .870 .946 .983 .962 .910 .869 .844 .762 .804 .875 .960 1.000 .971 .908 .859 .840 .748 .793 .865 .950 .990 .962 .894 .840 .823 .734 .775 .842 .919 .958 .937 .872 .817 .800 .726 .758 .817 .884 .923 .912 .857 .800 .781 .724 .748 .799 .859 .898 .898 .853 .795 .770 546 -.406 5046 -5.938 1.68627 .009870 .058040 .012631 Correlation Surface at 646 5046 .133 .312 .535 .659 .617 .522 .374 .214 .119 .180 .338 .508 .662 .690 .629 .399 .193 .103 .224 .382 .521 .712 .812 .735 .464 .211 .096 .215 .394 .552 .797 .944 .784 .504 .252 .106 .178 .367 .558 .829 1.000 .765 .495 .266 .109 .151 .338 .543 .782 .962 .776 .498 .243 .087 .125 .303 .495 .668 .852 .813 .524 .219 .064 .099 .263 .439 .557 .743 .788 .535 .223 .061 .096 .243 .411 .520 .686 .682 .501 .248 .078 r_peak,r_snr = .4535981 5.44774 Correlation Surface of oversamples image at 646 5046 .403 .502 .612 .712 .766 .766 .722 .643 .525 .437 .535 .653 .773 .845 .843 .783 .685 .550 .473 .575 .702 .837 .919 .909 .829 .712 .566 .499 .611 .745 .888 .974 .954 .856 .723 .571 .506 .631 .770 .914 1.000 .976 .867 .724 .571 .497 .631 .771 .910 .995 .975 .869 .725 .574 .479 .615 .752 .883 .966 .958 .869 .734 .586 .459 .592 .722 .841 .919 .930 .869 .754 .610 .442 .567 .684 .788 .861 .890 .866 .780 .642 646 -.344 5046 -7.219 5.44774 .006581 .090662 -.000485 Correlation Surface at 746 5046 .024 .052 .151 .343 .588 .570 .310 .122 .086 .037 .072 .178 .389 .587 .535 .280 .109 .076 .052 .101 .217 .491 .702 .565 .267 .105 .072 .047 .110 .249 .588 .931 .715 .284 .120 .082 .025 .075 .219 .550 1.000 .848 .304 .136 .095 .017 .035 .145 .393 .775 .744 .288 .134 .096 .027 .024 .099 .292 .531 .505 .236 .126 .089 .052 .041 .102 .306 .497 .412 .227 .132 .082 .068 .067 .131 .395 .624 .500 .287 .157 .088 r_peak,r_snr = .3912288 9.35246 Correlation Surface of oversamples image at 746 5046 .257 .437 .616 .694 .635 .483 .313 .185 .111 .273 .470 .685 .785 .707 .515 .314 .178 .107 .292 .504 .755 .899 .825 .591 .345 .186 .112 .302 .517 .790 .985 .943 .688 .395 .204 .122 .284 .484 .752 .986 1.000 .757 .438 .219 .127 .240 .411 .650 .892 .958 .756 .443 .217 .121 .190 .333 .529 .746 .832 .677 .402 .195 .106 .154 .278 .436 .607 .678 .556 .334 .164 .089 .136 .253 .386 .509 .545 .441 .268 .136 .077 746 .250 5046 -.094 9.35246 .005244 .018273 -.002800 Correlation Surface at 846 5046 .036 .211 .452 .675 .897 .718 .360 .141 .057 .031 .205 .436 .704 .976 .827 .458 .209 .092 .028 .190 .418 .720 .993 .897 .518 .243 .112 .019 .156 .377 .733 .990 .896 .529 .238 .101 .016 .130 .332 .730 1.000 .842 .490 .228 .089 .020 .133 .312 .658 .974 .785 .439 .210 .088 .020 .148 .327 .558 .871 .754 .431 .192 .084 .017 .142 .339 .510 .744 .735 .475 .207 .082 .019 .113 .309 .512 .674 .706 .520 .260 .108 r_peak,r_snr = .4442959 5.56 Correlation Surface of oversamples image at 846 5046 .417 .520 .610 .718 .828 .852 .739 .562 .417 .390 .522 .646 .773 .876 .868 .729 .549 .411 .363 .512 .672 .830 .931 .886 .716 .534 .406 .339 .486 .671 .869 .980 .907 .707 .521 .403 .324 .448 .635 .865 1.000 .923 .709 .519 .403 .320 .408 .570 .805 .969 .923 .724 .531 .409 .326 .378 .496 .700 .882 .894 .740 .557 .426 .336 .361 .435 .587 .760 .830 .741 .583 .448 .344 .361 .400 .500 .643 .743 .714 .594 .470 846 .063 5046 -.125 5.56000 .006562 .608880 .011303 Correlation Surface at 946 5046 .041 .274 .636 .877 .846 .547 .267 .125 .020 .033 .253 .620 .848 .829 .566 .269 .111 .015 .025 .229 .577 .839 .881 .631 .296 .102 .009 .020 .202 .511 .829 .974 .721 .331 .104 .007 .019 .173 .435 .799 1.000 .742 .348 .116 .010 .016 .154 .392 .766 .946 .692 .333 .120 .018 .010 .136 .385 .754 .918 .696 .340 .118 .025 .004 .099 .368 .744 .932 .762 .388 .126 .034 .001 .068 .330 .717 .912 .792 .452 .149 .041 r_peak,r_snr = .4988637 4.83616 Correlation Surface of oversamples image at 946 5046 .419 .576 .749 .878 .911 .846 .721 .562 .399 .424 .595 .774 .902 .930 .860 .736 .577 .405 .426 .615 .804 .932 .960 .897 .778 .615 .428 .419 .627 .827 .954 .985 .935 .828 .663 .461 .406 .633 .846 .972 1.000 .962 .871 .711 .502 946 -.125 5046 -.219 4.83616 .004096 .087980 -.001858 Correlation Surface at 1046 5046 .105 .174 .361 .387 .466 .471 .397 .533 .683 .125 .171 .338 .420 .491 .474 .354 .402 .567 .168 .205 .342 .455 .562 .525 .411 .370 .459 .183 .244 .340 .541 .821 .674 .546 .469 .466 .198 .260 .320 .588 1.000 .788 .638 .575 .486 .260 .299 .338 .521 .805 .705 .645 .571 .428 .295 .348 .402 .457 .588 .607 .642 .539 .409 .280 .340 .422 .470 .578 .601 .648 .584 .514 .272 .309 .379 .488 .602 .598 .617 .660 .660 r_peak,r_snr = .2896159 3.22506 Correlation Surface of oversamples image at 1046 5046 .416 .498 .554 .581 .583 .572 .538 .470 .400 .406 .496 .591 .668 .696 .675 .620 .542 .472 .381 .482 .628 .776 .849 .815 .719 .621 .553 .347 .451 .635 .849 .974 .937 .801 .681 .616 .316 .411 .600 .841 1.000 .977 .831 .702 .643 .300 .374 .535 .755 .919 .922 .801 .689 .641 .303 .350 .464 .637 .785 .812 .738 .661 .629 .320 .340 .410 .536 .662 .707 .676 .637 .623 .341 .340 .383 .480 .588 .638 .634 .623 .624 1046 .188 5046 -.094 3.22506 .009635 .025172 -.000832 Correlation Surface at 1146 5046 .000 .012 .140 .573 .815 .431 .047 .001 .001 .004 .006 .111 .511 .764 .375 .054 .000 .001 .009 .003 .113 .522 .833 .342 .043 .000 .001 .003 .006 .145 .620 .986 .389 .038 .000 .001 .000 .011 .180 .709 1.000 .431 .049 .000 .000 .003 .013 .188 .702 .858 .387 .055 .002 .000 .005 .010 .168 .620 .718 .316 .046 .004 .000 .006 .009 .127 .516 .666 .307 .044 .003 .002 .004 .007 .077 .392 .663 .370 .064 .003 .003 r_peak,r_snr = .342384 13.39056 Correlation Surface of oversamples image at 1146 5046 .097 .229 .429 .633 .715 .619 .414 .206 .065 .107 .251 .464 .682 .754 .608 .366 .166 .052 .125 .287 .521 .766 .841 .641 .343 .134 .037 .149 .329 .584 .856 .942 .704 .350 .119 .027 .169 .360 .624 .903 1.000 .756 .373 .120 .023 .173 .360 .615 .875 .972 .759 .391 .129 .025 .161 .334 .564 .784 .864 .697 .383 .138 .030 .143 .299 .500 .669 .717 .590 .344 .135 .034 .129 .273 .448 .573 .586 .478 .288 .121 .035 1146 -.094 5046 .156 13.39056 .003729 .081370 .002396 Correlation Surface at 1246 5046 .167 .327 .499 .660 .745 .710 .693 .680 .564 .178 .325 .505 .679 .792 .711 .679 .705 .586 .198 .341 .504 .699 .882 .768 .680 .724 .621 .197 .351 .504 .722 .966 .845 .690 .708 .633 .182 .341 .511 .724 1.000 .884 .687 .670 .605 .171 .324 .513 .717 .998 .890 .674 .642 .559 .162 .303 .498 .725 .990 .900 .677 .625 .510 .154 .279 .467 .698 .933 .912 .688 .608 .478 .149 .267 .440 .620 .810 .854 .671 .578 .461 r_peak,r_snr = .5731857 3.52465 Correlation Surface of oversamples image at 1246 5046 .461 .543 .656 .789 .873 .847 .752 .682 .662 .463 .550 .679 .830 .932 .910 .801 .706 .664 .469 .556 .693 .859 .976 .960 .840 .724 .663 .476 .561 .696 .869 .997 .987 .860 .729 .655 .481 .565 .694 .866 1.000 .994 .863 .721 .640 .482 .571 .696 .862 .993 .990 .858 .708 .625 .479 .578 .704 .861 .986 .986 .858 .704 .614 .473 .582 .710 .858 .977 .987 .871 .713 .614 .462 .575 .703 .842 .957 .984 .891 .735 .622 1246 .250 5046 -.563 3.52465 .003565 .222206 -.007747 Correlation Surface at 1346 5046 .166 .319 .501 .780 .976 .847 .653 .480 .345 .171 .317 .494 .733 .943 .831 .646 .503 .360 .174 .308 .494 .721 .928 .839 .634 .509 .364 .159 .287 .489 .763 .975 .868 .647 .530 .379 .132 .249 .465 .773 1.000 .897 .686 .563 .392 .111 .211 .428 .708 .919 .909 .763 .625 .409 .096 .188 .396 .630 .778 .858 .836 .700 .447 .094 .192 .393 .601 .701 .801 .857 .741 .484 .092 .195 .387 .586 .693 .799 .852 .759 .504 r_peak,r_snr = .484296 3.77836 Correlation Surface of oversamples image at 1346 5046 .489 .588 .699 .816 .895 .895 .825 .728 .639 .492 .596 .710 .823 .894 .887 .818 .724 .637 .491 .608 .736 .855 .919 .898 .818 .720 .633 .482 .615 .763 .897 .963 .929 .829 .721 .636 .461 .607 .772 .922 1.000 .963 .848 .731 .647 .436 .582 .749 .906 .999 .975 .863 .747 .671 .410 .547 .698 .843 .943 .946 .863 .770 .710 .383 .510 .637 .759 .858 .892 .856 .804 .767 .359 .477 .584 .682 .773 .832 .846 .840 .829 1346 .156 5046 -.188 3.77836 .008128 .060116 -.005861 Correlation Surface at 1446 5046 .000 .026 .101 .238 .522 .537 .249 .108 .071 .000 .033 .134 .312 .617 .555 .223 .081 .079 .001 .045 .200 .452 .800 .649 .249 .084 .083 .009 .055 .228 .545 .994 .821 .353 .118 .073 .032 .068 .191 .479 1.000 .918 .440 .158 .066 .046 .080 .160 .379 .844 .839 .423 .166 .063 .032 .072 .139 .321 .709 .724 .377 .150 .059 .017 .058 .113 .276 .622 .664 .339 .118 .052 .015 .053 .110 .249 .533 .580 .301 .076 .030 r_peak,r_snr = .3472517 9.76571 Correlation Surface of oversamples image at 1446 5046 .249 .371 .522 .662 .679 .529 .315 .151 .068 .296 .433 .607 .774 .795 .621 .382 .198 .096 .315 .467 .671 .875 .912 .723 .463 .261 .135 .300 .465 .696 .932 .990 .801 .531 .318 .174 .269 .435 .674 .922 1.000 .829 .564 .348 .196 .239 .395 .621 .854 .943 .803 .556 .346 .197 .222 .364 .564 .768 .853 .747 .527 .328 .187 .218 .348 .522 .694 .771 .690 .499 .311 .178 .218 .340 .494 .640 .710 .649 .482 .303 .174 1446 .375 5046 -.219 9.76571 .007116 .077515 -.008761 Correlation Surface at 1546 5046 .090 .172 .324 .479 .727 .721 .524 .243 .153 .092 .167 .366 .566 .824 .760 .511 .235 .144 .117 .187 .403 .650 .895 .794 .493 .225 .137 .135 .204 .412 .709 .973 .842 .476 .213 .127 .122 .211 .413 .725 1.000 .856 .477 .227 .128 .107 .224 .426 .702 .945 .800 .487 .261 .158 .112 .228 .426 .697 .914 .766 .498 .287 .201 .125 .218 .431 .746 .966 .806 .524 .291 .209 .126 .217 .474 .816 .996 .840 .558 .291 .187 r_peak,r_snr = .4325773 4.35369 Correlation Surface of oversamples image at 1546 5046 .461 .579 .710 .834 .918 .926 .843 .710 .564 .492 .615 .740 .854 .930 .938 .852 .703 .547 .520 .650 .775 .886 .956 .955 .863 .704 .538 .542 .675 .805 .920 .986 .970 .868 .706 .533 .553 .688 .821 .939 1.000 .968 .860 .703 .535 .553 .684 .819 .935 .987 .944 .835 .693 .542 .542 .667 .803 .913 .956 .909 .807 .684 .553 .529 .643 .782 .892 .931 .887 .795 .686 .572 .516 .621 .766 .885 .927 .889 .805 .703 .598 1546 .094 5046 -2.000 4.35369 .007168 .138320 .003418 Correlation Surface at 1646 5046 .069 .077 .116 .268 .489 .442 .131 .044 .058 .092 .078 .108 .285 .517 .392 .128 .033 .035 .119 .116 .164 .406 .718 .403 .121 .032 .037 .134 .163 .231 .536 .955 .477 .102 .028 .045 .124 .180 .258 .564 1.000 .516 .083 .018 .043 .094 .158 .249 .529 .901 .519 .080 .014 .033 .074 .130 .224 .472 .797 .529 .103 .026 .041 .070 .129 .220 .408 .702 .556 .151 .059 .068 .068 .139 .228 .367 .615 .570 .199 .086 .079 r_peak,r_snr = .3013594 6.77753 Correlation Surface of oversamples image at 1646 5046 .184 .247 .414 .632 .708 .559 .336 .170 .076 .220 .285 .465 .720 .830 .663 .379 .170 .065 .249 .320 .508 .786 .928 .760 .429 .176 .056 .267 .349 .542 .826 .987 .830 .475 .187 .052 .271 .370 .564 .838 1.000 .862 .509 .201 .051 .261 .375 .565 .815 .967 .855 .529 .218 .056 .244 .365 .543 .762 .906 .827 .542 .240 .069 .225 .339 .499 .687 .827 .789 .552 .270 .091 .210 .304 .438 .599 .738 .742 .558 .301 .119 1646 .031 5046 1.375 6.77753 .004507 .137724 -.002493 Correlation Surface at 1746 5046 .072 .120 .193 .304 .352 .357 .423 .320 .122 .105 .148 .233 .368 .387 .353 .391 .269 .078 .114 .212 .365 .511 .530 .413 .389 .214 .062 .094 .257 .476 .676 .801 .578 .424 .202 .093 .095 .279 .555 .811 1.000 .652 .405 .237 .165 .121 .307 .641 .848 .904 .529 .307 .284 .237 .135 .323 .616 .703 .661 .363 .209 .292 .245 .129 .311 .468 .456 .461 .263 .157 .234 .195 .106 .260 .324 .253 .301 .198 .136 .149 .122 r_peak,r_snr = .2749714 8.61066 Correlation Surface of oversamples image at 1746 5046 .257 .352 .436 .484 .486 .459 .413 .360 .320 .322 .430 .533 .607 .615 .563 .486 .406 .342 .380 .499 .628 .744 .773 .697 .576 .464 .377 .438 .566 .714 .867 .921 .819 .648 .502 .400 .503 .640 .787 .944 1.000 .876 .661 .491 .392 .570 .714 .836 .949 .974 .833 .601 .425 .347 .617 .763 .845 .886 .858 .710 .489 .327 .275 .622 .756 .801 .783 .708 .561 .369 .232 .201 .576 .678 .701 .664 .572 .431 .272 .162 .142 1746 -.094 5046 .125 8.61066 .015454 .046506 .007428 Correlation Surface at 1846 5046 .023 .246 .366 .333 .575 .788 .528 .194 .120 .010 .141 .291 .356 .649 .691 .485 .239 .111 .010 .107 .278 .407 .777 .665 .418 .254 .108 .010 .109 .336 .558 .929 .674 .372 .238 .117 .018 .137 .356 .653 1.000 .745 .415 .229 .143 .031 .190 .312 .523 .875 .852 .521 .201 .138 .031 .222 .317 .401 .673 .781 .516 .149 .090 .030 .206 .342 .406 .554 .505 .366 .148 .075 .043 .222 .352 .449 .536 .296 .208 .177 .113 r_peak,r_snr = .2115743 6.82895 Correlation Surface of oversamples image at 1846 5046 .281 .353 .567 .811 .858 .714 .538 .412 .332 .340 .414 .631 .887 .927 .744 .528 .387 .317 .418 .500 .707 .947 .977 .772 .529 .367 .292 .472 .567 .760 .972 .999 .802 .549 .365 .268 .462 .572 .764 .960 1.000 .842 .598 .387 .255 .395 .514 .719 .921 .990 .890 .672 .433 .256 .312 .425 .641 .858 .959 .916 .737 .481 .262 .252 .353 .564 .781 .891 .879 .746 .503 .266 .231 .319 .510 .699 .780 .765 .668 .477 .263 1846 .313 5046 1.469 6.82895 .023993 .197546 -.024001 Correlation Surface at 1946 5046 .299 .375 .531 .734 .824 .730 .554 .358 .261 .287 .357 .490 .725 .850 .728 .535 .353 .268 .310 .369 .490 .769 .926 .760 .549 .368 .271 .337 .395 .496 .807 .999 .781 .537 .385 .282 .336 .408 .482 .772 1.000 .770 .483 .373 .295 .327 .411 .462 .696 .923 .741 .453 .352 .298 .323 .394 .442 .636 .845 .709 .483 .369 .295 .315 .363 .434 .639 .832 .708 .552 .432 .316 .305 .349 .457 .692 .858 .725 .600 .493 .356 r_peak,r_snr = .5887669 2.57853 Correlation Surface of oversamples image at 1946 5046 .450 .600 .777 .919 .950 .876 .759 .627 .480 .445 .608 .796 .943 .968 .881 .754 .620 .477 .449 .621 .819 .967 .985 .882 .742 .607 .473 .457 .635 .839 .986 .997 .879 .721 .582 .460 .464 .640 .845 .992 1.000 .871 .696 .550 .436 .463 .630 .829 .977 .989 .859 .674 .518 .408 .453 .602 .791 .939 .963 .845 .660 .497 .384 .434 .561 .736 .885 .925 .829 .655 .492 .375 .410 .518 .678 .827 .884 .813 .660 .504 .383 1946 -.219 5046 -4.813 2.57853 .002506 .046795 -.002221 Correlation Surface at 2046 5046 .092 .151 .329 .606 .761 .677 .456 .305 .165 .078 .150 .314 .657 .882 .788 .548 .331 .165 .066 .142 .289 .641 .956 .839 .590 .352 .176 .062 .134 .275 .601 .981 .863 .583 .344 .186 .056 .135 .283 .592 1.000 .917 .582 .310 .181 .056 .136 .292 .595 .989 .958 .618 .309 .189 .069 .133 .278 .579 .927 .928 .638 .365 .224 .070 .123 .258 .541 .873 .881 .596 .403 .261 .048 .106 .246 .488 .820 .878 .559 .376 .261 r_peak,r_snr = .5975347 5.72249 Correlation Surface of oversamples image at 2046 5046 .415 .599 .821 .952 .932 .838 .753 .692 .623 .393 .563 .789 .949 .952 .854 .751 .673 .599 .387 .548 .770 .948 .972 .874 .753 .651 .563 .396 .552 .767 .950 .990 .896 .762 .639 .533 .411 .568 .775 .954 1.000 .912 .774 .641 .521 .423 .586 .788 .956 1.000 .916 .784 .653 .533 .428 .597 .798 .955 .990 .907 .784 .670 .564 .423 .598 .800 .949 .973 .887 .773 .679 .598 .414 .587 .790 .934 .952 .864 .753 .673 .616 2046 .406 5046 .750 5.72249 .002733 .295378 -.015214 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .102 .273 .494 .708 .858 .857 .604 .343 .163 .111 .235 .428 .687 .879 .917 .666 .363 .165 .118 .196 .366 .709 .931 .950 .728 .414 .190 .123 .188 .357 .740 .978 .915 .703 .461 .241 .115 .196 .389 .749 1.000 .903 .657 .469 .279 .092 .193 .414 .723 .992 .937 .646 .434 .253 .068 .180 .395 .638 .908 .945 .676 .416 .215 .053 .171 .360 .528 .771 .906 .710 .439 .224 .051 .177 .356 .485 .667 .819 .682 .441 .243 r_peak,r_snr = .4869947 4.79067 Correlation Surface of oversamples image at 146 5446 .597 .775 .911 .955 .912 .830 .736 .634 .531 .611 .780 .917 .973 .936 .842 .728 .613 .511 .619 .778 .914 .988 .968 .873 .741 .607 .496 .612 .761 .898 .989 .995 .910 .769 .617 .491 .585 .722 .859 .967 1.000 .937 .799 .638 .498 .543 .663 .794 .915 .976 .942 .822 .663 .515 .498 .596 .713 .837 .923 .924 .830 .683 .534 .462 .538 .634 .751 .850 .883 .819 .688 .544 .447 .505 .581 .682 .783 .834 .794 .680 .544 146 .281 5446 2.969 4.79067 .007373 .645170 -.019810 Correlation Surface at 246 5446 .000 .008 .000 .007 .056 .022 .009 .014 .028 .002 .006 .008 .026 .063 .019 .008 .004 .016 .002 .002 .024 .123 .198 .052 .025 .005 .006 .007 .017 .008 .251 .693 .227 .054 .008 .008 .044 .055 .000 .154 1.000 .498 .092 .008 .014 .069 .043 .001 .020 .486 .449 .163 .014 .001 .056 .016 .000 .001 .097 .191 .183 .034 .002 .075 .027 .002 .006 .072 .111 .158 .076 .002 .114 .048 .003 .007 .126 .136 .138 .107 .042 r_peak,r_snr = .1799075 27.15546 Correlation Surface of oversamples image at 246 5446 .037 .087 .168 .197 .117 .038 .012 .007 .003 .032 .136 .338 .462 .330 .131 .040 .018 .008 .023 .161 .497 .790 .672 .324 .108 .036 .013 .015 .146 .534 .978 .966 .559 .218 .070 .021 .012 .108 .432 .890 1.000 .682 .326 .124 .039 .012 .070 .277 .614 .758 .603 .362 .178 .068 .013 .048 .160 .341 .432 .390 .300 .201 .104 .015 .042 .104 .175 .196 .189 .192 .183 .133 .014 .044 .090 .106 .084 .075 .103 .144 .146 246 .281 5446 .219 27.15546 .006299 .017821 -.003685 Correlation Surface at 346 5446 .014 .092 .255 .444 .654 .610 .353 .148 .084 .018 .106 .306 .561 .719 .597 .372 .168 .089 .026 .119 .308 .630 .838 .631 .371 .179 .118 .034 .119 .225 .543 .987 .784 .387 .186 .150 .057 .133 .172 .429 1.000 .910 .430 .227 .178 .089 .160 .202 .390 .848 .868 .468 .269 .189 .102 .154 .254 .388 .719 .780 .459 .230 .174 .089 .128 .272 .386 .664 .717 .390 .153 .130 .069 .125 .280 .378 .568 .606 .320 .121 .099 r_peak,r_snr = .3281208 5.74217 Correlation Surface of oversamples image at 346 5446 .284 .476 .767 .985 .933 .642 .341 .185 .148 .328 .507 .777 .983 .922 .619 .318 .177 .155 .374 .531 .773 .984 .942 .635 .323 .175 .149 .400 .529 .748 .978 .981 .685 .352 .181 .135 .391 .493 .692 .940 1.000 .733 .385 .189 .121 .357 .437 .611 .858 .965 .743 .399 .191 .112 .338 .401 .547 .772 .900 .723 .400 .197 .117 346 .375 5446 2.688 5.74217 .007148 .090250 -.010779 Correlation Surface at 446 5446 .766 .691 .690 .858 .953 .793 .631 .527 .477 .634 .652 .646 .830 .991 .759 .550 .488 .501 .528 .646 .614 .757 .971 .715 .560 .587 .648 .476 .680 .642 .729 .957 .733 .663 .777 .828 .477 .718 .707 .757 1.000 .870 .762 .856 .841 .546 .767 .785 .772 .980 .998 .770 .741 .669 .617 .831 .897 .786 .856 .956 .744 .628 .556 .576 .796 .934 .834 .763 .846 .774 .632 .610 .466 .638 .807 .871 .790 .809 .826 .724 .752 r_peak,r_snr = .3134832 1.79008 Correlation Surface of oversamples image at 446 5446 .675 .770 .879 .956 .970 .916 .805 .682 .570 .683 .781 .902 .993 1.000 .923 .790 .652 .526 .675 .759 .876 .979 .986 .896 .755 .617 .497 .653 .710 .811 .920 .937 .846 .712 .591 .493 .626 .653 .734 .844 .874 .793 .677 .586 .521 .610 .616 .678 .783 .828 .764 .667 .608 .579 446 .844 5446 -12.781 1.79008 .044233 .837272 -.141849 Correlation Surface at 546 5446 .002 .109 .384 .560 .387 .099 .023 .000 .024 .001 .077 .396 .674 .555 .135 .031 .000 .033 .001 .068 .423 .817 .771 .202 .025 .000 .037 .002 .077 .439 .924 .946 .264 .021 .000 .021 .020 .085 .419 .900 1.000 .338 .038 .001 .014 .045 .086 .355 .766 .935 .428 .076 .000 .025 .043 .070 .279 .620 .754 .455 .120 .001 .033 .028 .051 .227 .503 .552 .398 .172 .018 .008 .032 .058 .224 .437 .448 .357 .209 .056 .001 r_peak,r_snr = .2763897 9.22369 Correlation Surface of oversamples image at 546 5446 .090 .223 .390 .553 .642 .560 .357 .192 .115 .098 .245 .444 .652 .779 .703 .457 .233 .121 .104 .253 .477 .731 .898 .831 .548 .272 .125 .106 .252 .487 .775 .977 .921 .620 .308 .134 .105 .243 .475 .776 1.000 .961 .665 .342 .151 .097 .226 .444 .738 .969 .956 .689 .375 .177 .085 .204 .402 .674 .904 .925 .705 .411 .208 .068 .178 .355 .600 .822 .877 .713 .447 .239 .052 .154 .315 .531 .737 .813 .699 .470 .263 546 -.313 5446 1.563 9.22369 .012120 .319778 -.042519 Correlation Surface at 646 5446 .000 .000 .087 .330 .488 .220 .037 .006 .000 .000 .001 .092 .373 .544 .292 .044 .006 .000 .004 .011 .095 .348 .579 .392 .076 .003 .005 .006 .018 .108 .401 .798 .559 .128 .003 .024 .003 .009 .105 .469 1.000 .666 .166 .011 .024 .004 .004 .078 .421 .848 .563 .165 .022 .008 .003 .006 .056 .321 .577 .361 .131 .023 .001 .000 .005 .050 .251 .455 .250 .097 .024 .000 .006 .001 .030 .165 .378 .227 .076 .028 .000 r_peak,r_snr = .292686 20.01301 Correlation Surface of oversamples image at 646 5446 .148 .266 .398 .508 .563 .504 .354 .194 .090 .159 .271 .423 .585 .683 .624 .436 .231 .096 .170 .275 .447 .673 .829 .764 .517 .260 .099 .173 .270 .456 .738 .954 .880 .573 .273 .096 .161 .252 .438 .747 1.000 .923 .583 .265 .088 .139 .229 .405 .703 .952 .875 .541 .240 .078 .116 .207 .368 .627 .835 .755 .461 .205 .069 .098 .190 .336 .547 .698 .612 .370 .169 .061 .088 .180 .317 .489 .591 .497 .295 .139 .055 646 .156 5446 .000 20.01301 .005228 .027069 .000244 Correlation Surface at 746 5446 .005 .015 .097 .275 .889 .670 .117 .008 .032 .000 .028 .108 .359 .985 .606 .126 .033 .021 .003 .016 .099 .473 .889 .425 .142 .071 .018 .003 .005 .126 .657 .856 .333 .165 .072 .015 .002 .009 .218 .903 1.000 .353 .128 .032 .014 .009 .021 .247 .889 .943 .324 .055 .015 .044 .016 .014 .157 .612 .624 .198 .011 .014 .127 .005 .003 .091 .475 .463 .133 .005 .015 .147 .001 .000 .106 .564 .615 .189 .022 .027 .084 r_peak,r_snr = .2110805 8.10244 Correlation Surface of oversamples image at 746 5446 .318 .300 .410 .626 .815 .817 .614 .359 .169 .215 .243 .400 .654 .820 .760 .557 .354 .205 .146 .219 .423 .714 .860 .736 .517 .349 .233 .125 .245 .500 .818 .937 .749 .497 .335 .233 .147 .320 .619 .929 1.000 .759 .472 .298 .197 .200 .421 .727 .974 .972 .706 .411 .232 .136 .266 .511 .775 .908 .827 .570 .312 .153 .075 .306 .549 .744 .760 .618 .399 .207 .087 .033 .300 .526 .666 .602 .431 .259 .132 .048 .011 746 -.188 5446 2.750 8.10244 .013768 .186231 .017152 Correlation Surface at 846 5446 .056 .140 .386 .770 .956 .771 .496 .292 .153 .052 .120 .298 .664 .892 .785 .544 .321 .157 .057 .126 .255 .580 .873 .777 .489 .281 .128 .061 .133 .260 .569 .965 .875 .473 .259 .109 .069 .122 .271 .588 1.000 .926 .496 .260 .090 .082 .113 .260 .554 .867 .838 .515 .258 .069 .080 .120 .232 .443 .662 .742 .575 .288 .080 .066 .137 .234 .349 .513 .698 .642 .365 .138 .068 .159 .288 .334 .461 .638 .587 .419 .208 r_peak,r_snr = .320122 6.29602 Correlation Surface of oversamples image at 846 5446 .257 .412 .591 .716 .732 .639 .496 .377 .290 .253 .407 .606 .757 .781 .670 .497 .359 .269 .265 .429 .658 .841 .868 .727 .518 .359 .264 .283 .462 .718 .927 .954 .790 .551 .374 .273 .301 .490 .756 .970 1.000 .835 .589 .400 .290 .308 .498 .749 .948 .984 .846 .620 .431 .310 .298 .471 .687 .859 .910 .824 .644 .464 .329 .273 .418 .590 .736 .810 .790 .669 .505 .354 .248 .359 .489 .617 .719 .762 .703 .557 .393 846 .313 5446 .063 6.29602 .011357 .085985 .001031 Correlation Surface at 946 5446 .180 .333 .522 .716 .856 .836 .596 .361 .207 .164 .310 .513 .742 .852 .822 .596 .401 .224 .150 .254 .439 .741 .880 .797 .598 .440 .261 .144 .221 .391 .737 .953 .808 .594 .466 .301 .123 .217 .411 .740 1.000 .839 .583 .460 .312 .091 .206 .421 .698 .908 .792 .541 .411 .287 .087 .192 .380 .610 .746 .679 .476 .349 .263 .108 .196 .343 .534 .661 .632 .455 .318 .248 .126 .211 .333 .494 .652 .658 .484 .315 .215 r_peak,r_snr = .4551545 4.88476 Correlation Surface of oversamples image at 946 5446 .499 .632 .765 .850 .864 .828 .758 .675 .605 .465 .613 .772 .879 .898 .850 .765 .674 .606 .439 .597 .778 .908 .940 .885 .782 .677 .606 .428 .589 .777 .927 .979 .926 .806 .683 .602 .431 .588 .770 .928 1.000 .955 .825 .684 .592 .444 .595 .758 .908 .994 .962 .830 .678 .575 .457 .601 .741 .872 .955 .936 .814 .662 .553 .459 .597 .716 .819 .888 .876 .773 .632 .522 .444 .575 .678 .755 .804 .796 .713 .592 .488 946 .094 5446 -.219 4.88476 .006127 .043360 -.000857 Correlation Surface at 1046 5446 .051 .129 .239 .508 .719 .367 .129 .059 .000 .065 .102 .162 .407 .739 .356 .075 .033 .001 .082 .070 .072 .290 .781 .441 .101 .036 .000 .110 .066 .042 .264 .906 .602 .194 .076 .001 .117 .077 .073 .315 1.000 .701 .234 .127 .013 .097 .103 .160 .398 .933 .597 .176 .127 .037 .063 .109 .215 .458 .836 .455 .105 .076 .026 .037 .085 .170 .437 .759 .375 .061 .020 .002 .032 .068 .115 .389 .725 .358 .052 .002 .002 r_peak,r_snr = .2122262 8.60423 Correlation Surface of oversamples image at 1046 5446 .014 .062 .198 .452 .699 .665 .393 .166 .058 .008 .052 .202 .497 .796 .786 .486 .216 .083 .008 .057 .225 .560 .903 .911 .580 .263 .104 .013 .071 .260 .619 .978 .990 .633 .282 .107 .023 .094 .299 .659 1.000 .996 .629 .266 .092 .037 .119 .330 .668 .962 .929 .570 .225 .066 .050 .140 .352 .658 .889 .823 .484 .177 .042 .056 .150 .360 .638 .814 .715 .400 .135 .024 .048 .137 .341 .600 .736 .614 .323 .098 .012 1046 .250 5446 .344 8.60423 .008529 .279916 .015677 Correlation Surface at 1146 5446 .367 .425 .479 .656 .811 .708 .550 .465 .359 .382 .423 .463 .654 .871 .758 .530 .474 .420 .359 .398 .461 .652 .905 .802 .522 .456 .449 .310 .358 .464 .662 .954 .868 .564 .468 .454 .267 .337 .481 .685 1.000 .940 .649 .549 .488 .250 .328 .514 .711 .974 .938 .715 .649 .551 .245 .310 .525 .727 .868 .838 .711 .678 .585 .240 .283 .478 .707 .759 .713 .665 .639 .568 .241 .272 .410 .617 .672 .647 .645 .600 .537 r_peak,r_snr = .5782601 3.03097 Correlation Surface of oversamples image at 1146 5446 .512 .659 .816 .893 .833 .677 .523 .426 .396 .516 .665 .832 .928 .883 .726 .558 .444 .400 .519 .669 .845 .960 .934 .784 .611 .485 .427 .523 .672 .852 .983 .977 .842 .673 .542 .473 .532 .677 .854 .990 1.000 .885 .730 .603 .530 .551 .687 .850 .977 .994 .900 .767 .653 .586 .573 .699 .838 .942 .955 .880 .773 .679 .623 .593 .709 .817 .886 .887 .828 .748 .676 .632 .604 .712 .789 .821 .806 .758 .702 .651 .616 1146 .281 5446 -.938 3.03097 .003336 .060063 -.000624 Correlation Surface at 1246 5446 .002 .042 .131 .334 .662 .742 .480 .239 .093 .002 .053 .198 .418 .693 .770 .501 .267 .102 .003 .059 .251 .536 .822 .878 .569 .285 .094 .010 .074 .275 .626 .971 .953 .599 .290 .086 .016 .096 .296 .661 1.000 .903 .567 .290 .087 .012 .096 .320 .668 .977 .893 .574 .291 .089 .007 .077 .302 .631 .941 .931 .609 .277 .083 .004 .064 .252 .527 .843 .872 .576 .246 .078 .003 .055 .205 .417 .704 .733 .497 .240 .090 r_peak,r_snr = .5501468 6.37706 Correlation Surface of oversamples image at 1246 5446 .257 .391 .531 .658 .756 .811 .790 .689 .544 .280 .432 .598 .746 .843 .875 .833 .721 .574 .305 .471 .661 .830 .922 .921 .845 .725 .587 .330 .506 .710 .893 .979 .944 .835 .708 .585 .347 .529 .735 .919 1.000 .945 .815 .684 .574 .353 .536 .734 .908 .986 .932 .799 .667 .563 .345 .526 .711 .872 .950 .910 .792 .666 .559 .328 .499 .671 .821 .902 .883 .791 .677 .563 .303 .460 .617 .761 .850 .852 .782 .682 .565 1246 -.969 5446 6.563 6.37706 .003766 .142762 .009487 Correlation Surface at 1346 5446 .133 .272 .270 .408 .710 .647 .316 .139 .036 .090 .245 .360 .482 .688 .575 .273 .147 .050 .079 .191 .418 .562 .719 .617 .300 .146 .082 .105 .197 .479 .612 .908 .863 .406 .140 .116 .149 .255 .503 .576 1.000 .967 .435 .125 .119 .148 .293 .488 .510 .861 .716 .297 .089 .093 .109 .291 .484 .518 .761 .495 .140 .029 .044 .074 .286 .487 .559 .781 .501 .080 .001 .012 .094 .312 .403 .509 .767 .556 .081 .002 .013 r_peak,r_snr = .2127623 6.03197 Correlation Surface of oversamples image at 1346 5446 .475 .559 .655 .717 .700 .598 .424 .266 .160 .517 .596 .677 .730 .729 .653 .480 .297 .170 .555 .642 .737 .801 .817 .750 .555 .331 .178 .597 .697 .820 .906 .929 .858 .631 .365 .188 .636 .745 .888 .987 1.000 .912 .668 .385 .199 .648 .759 .904 .987 .969 .862 .633 .377 .206 .630 .733 .858 .905 .841 .722 .534 .337 .200 .593 .680 .776 .784 .680 .547 .403 .268 .170 .566 .634 .706 .689 .557 .407 .285 .191 .124 1346 .750 5446 -.250 6.03197 .032158 .133226 .002605 Correlation Surface at 1446 5446 .092 .114 .071 .155 .307 .207 .096 .016 .001 .058 .118 .110 .151 .319 .258 .122 .021 .003 .042 .109 .124 .146 .319 .227 .096 .023 .002 .044 .093 .103 .226 .597 .312 .061 .030 .003 .026 .060 .104 .339 1.000 .521 .066 .040 .024 .005 .040 .132 .350 .956 .624 .086 .040 .061 .003 .050 .153 .297 .688 .571 .079 .015 .045 .012 .064 .115 .264 .567 .550 .064 .001 .013 .023 .049 .066 .219 .498 .552 .095 .001 .006 r_peak,r_snr = .2199975 16.29944 Correlation Surface of oversamples image at 1446 5446 .059 .069 .147 .320 .473 .435 .257 .116 .057 .065 .092 .210 .453 .656 .582 .317 .120 .049 .078 .123 .279 .594 .857 .764 .412 .144 .047 .095 .154 .328 .676 .990 .918 .519 .187 .056 .115 .178 .340 .665 1.000 .987 .607 .241 .074 .130 .183 .309 .573 .890 .946 .639 .283 .094 .128 .169 .259 .456 .727 .831 .612 .297 .106 .110 .145 .214 .365 .587 .705 .554 .288 .108 .080 .113 .177 .306 .489 .601 .494 .265 .098 1446 .219 5446 .375 16.29944 .005748 .031848 -.001692 Correlation Surface at 1546 5446 .013 .013 .113 .314 .517 .515 .456 .220 .180 .001 .011 .121 .317 .546 .481 .347 .239 .213 .001 .030 .149 .352 .720 .559 .286 .248 .225 .003 .048 .194 .451 .948 .715 .298 .204 .184 .006 .049 .246 .558 1.000 .782 .353 .148 .120 .016 .071 .258 .514 .787 .673 .399 .138 .085 .055 .115 .211 .345 .529 .507 .387 .170 .098 .117 .150 .162 .207 .371 .418 .370 .232 .140 .124 .169 .164 .156 .300 .398 .391 .304 .190 r_peak,r_snr = .2551962 6.37039 Correlation Surface of oversamples image at 1546 5446 .098 .162 .282 .481 .646 .629 .448 .279 .201 .115 .186 .325 .564 .771 .754 .521 .293 .183 .137 .231 .404 .676 .899 .869 .603 .334 .189 .159 .287 .498 .788 .990 .936 .666 .386 .213 .174 .334 .567 .842 1.000 .925 .682 .428 .243 .179 .350 .574 .805 .916 .842 .650 .445 .268 .171 .325 .514 .694 .776 .722 .586 .434 .277 .151 .272 .416 .554 .625 .598 .509 .402 .270 .130 .213 .319 .426 .494 .493 .438 .363 .257 1546 .125 5446 .750 6.37038 .011753 .065086 .004130 Correlation Surface at 1646 5446 .011 .002 .043 .291 .692 .632 .319 .091 .059 .015 .004 .052 .279 .665 .678 .361 .129 .077 .014 .014 .079 .365 .712 .660 .304 .117 .087 .010 .028 .119 .513 .867 .626 .221 .084 .094 .002 .020 .156 .633 1.000 .595 .178 .063 .078 .000 .002 .161 .649 .960 .556 .184 .059 .048 .005 .001 .135 .571 .811 .524 .224 .091 .041 .004 .001 .105 .458 .658 .517 .271 .158 .063 .001 .001 .093 .352 .542 .476 .278 .169 .082 r_peak,r_snr = .2953848 7.73993 Correlation Surface of oversamples image at 1646 5446 .062 .128 .250 .411 .535 .524 .368 .192 .089 .094 .190 .353 .544 .662 .605 .396 .193 .085 .133 .267 .476 .697 .809 .703 .439 .206 .088 .168 .344 .593 .834 .937 .791 .485 .229 .098 .188 .400 .673 .914 1.000 .833 .515 .253 .112 .188 .421 .695 .912 .977 .813 .516 .266 .124 .173 .408 .661 .842 .890 .748 .490 .267 .132 .152 .368 .585 .728 .767 .659 .446 .254 .133 .128 .310 .484 .593 .628 .555 .388 .226 .124 1646 -.063 5446 -.375 7.73993 .007288 .106522 .009831 Correlation Surface at 1746 5446 .056 .103 .235 .452 .637 .609 .337 .183 .110 .048 .080 .206 .495 .717 .654 .355 .177 .114 .036 .057 .197 .539 .825 .748 .445 .197 .120 .045 .062 .222 .592 .943 .831 .536 .243 .129 .072 .087 .234 .582 1.000 .886 .568 .270 .141 .103 .096 .215 .501 .917 .885 .565 .266 .151 .112 .085 .190 .446 .791 .829 .578 .276 .165 .092 .079 .187 .482 .792 .824 .612 .293 .169 .066 .079 .202 .549 .867 .887 .642 .271 .133 r_peak,r_snr = .3854615 4.67167 Correlation Surface of oversamples image at 1746 5446 .355 .552 .748 .862 .856 .763 .620 .446 .291 .357 .563 .779 .911 .903 .796 .648 .477 .316 .364 .577 .811 .961 .954 .829 .668 .499 .340 .369 .587 .829 .994 .991 .851 .673 .502 .351 .367 .584 .823 .992 1.000 .862 .673 .495 .351 .354 .564 .789 .949 .973 .857 .674 .492 .348 .329 .529 .732 .871 .908 .831 .675 .496 .349 .304 .494 .677 .790 .832 .793 .677 .513 .363 .289 .473 .643 .735 .773 .763 .684 .542 .389 1746 .250 5446 .813 4.67167 .006808 .075656 -.006982 Correlation Surface at 1846 5446 .337 .511 .688 .845 .818 .660 .491 .321 .166 .305 .505 .724 .910 .861 .721 .537 .337 .188 .284 .476 .713 .931 .943 .806 .570 .341 .209 .275 .445 .681 .897 .997 .858 .573 .342 .230 .268 .425 .667 .872 1.000 .887 .594 .362 .243 .260 .422 .656 .854 .984 .918 .670 .426 .260 .250 .440 .636 .820 .978 .938 .742 .497 .285 .222 .440 .610 .785 .971 .933 .746 .505 .293 .182 .395 .580 .770 .971 .928 .710 .453 .272 r_peak,r_snr = .5150644 3.92842 Correlation Surface of oversamples image at 1846 5446 2.992 3.364 3.713 3.933 3.913 3.657 3.240 2.734 2.203 2.872 3.282 3.687 3.950 3.942 3.671 3.242 2.750 2.239 2.752 3.187 3.633 3.927 3.928 3.647 3.199 2.700 2.195 2.704 3.157 3.630 3.947 3.958 3.678 3.213 2.680 2.153 1846 .281 5446 .781 3.92842 .035418 1.838465 -.213760 Correlation Surface at 1946 5446 .288 .375 .455 .595 .724 .704 .512 .285 .183 .263 .346 .415 .591 .759 .698 .519 .299 .183 .252 .333 .402 .584 .787 .688 .495 .315 .195 .253 .332 .418 .623 .883 .768 .500 .324 .204 .255 .331 .432 .678 1.000 .892 .535 .320 .201 .247 .318 .421 .651 .957 .884 .538 .311 .203 .227 .283 .378 .543 .748 .735 .509 .304 .205 .207 .244 .331 .462 .595 .619 .499 .317 .204 .206 .232 .313 .443 .550 .590 .513 .355 .215 r_peak,r_snr = .6396843 4.23393 Correlation Surface of oversamples image at 1946 5446 .325 .458 .640 .789 .805 .714 .594 .484 .398 .328 .470 .672 .844 .869 .760 .608 .471 .371 .332 .486 .707 .904 .943 .820 .641 .479 .362 .335 .497 .728 .941 .996 .872 .677 .499 .368 .335 .497 .723 .935 1.000 .887 .694 .515 .377 .328 .482 .690 .881 .945 .851 .678 .511 .377 .316 .455 .637 .799 .854 .777 .631 .484 .362 .302 .425 .579 .714 .760 .696 .575 .449 .339 .289 .397 .527 .641 .683 .631 .530 .421 .321 1946 .406 5446 .281 4.23392 .001938 .009199 -.000565 Correlation Surface at 2046 5446 .001 .006 .031 .156 .374 .335 .107 .020 .007 .001 .010 .040 .198 .461 .380 .110 .024 .011 .001 .014 .053 .261 .626 .486 .127 .030 .013 .001 .015 .065 .333 .875 .695 .181 .044 .017 .001 .014 .072 .364 1.000 .857 .251 .074 .028 .001 .012 .070 .338 .844 .736 .247 .094 .044 .001 .009 .060 .280 .593 .480 .167 .077 .043 .000 .005 .046 .206 .393 .290 .097 .048 .028 .000 .002 .031 .139 .267 .193 .061 .033 .020 r_peak,r_snr = .619582 17.56789 Correlation Surface of oversamples image at 2046 5446 .164 .294 .461 .581 .561 .404 .221 .097 .042 .181 .334 .540 .698 .682 .494 .269 .119 .052 .194 .368 .615 .816 .812 .595 .329 .149 .067 .202 .391 .673 .918 .931 .693 .391 .184 .087 .201 .396 .694 .966 1.000 .758 .439 .217 .110 .193 .382 .671 .942 .986 .760 .451 .233 .128 .183 .356 .613 .850 .888 .688 .414 .222 .130 .171 .321 .532 .715 .733 .564 .340 .185 .113 .154 .280 .443 .570 .567 .428 .254 .138 .086 2046 .313 5446 -.344 17.56789 .000845 .004226 -.000051 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .097 .288 .474 .508 .506 .429 .252 .104 .032 .073 .254 .487 .533 .497 .400 .227 .086 .025 .071 .249 .503 .590 .596 .479 .229 .077 .025 .085 .272 .526 .680 .832 .720 .311 .103 .041 .092 .264 .488 .710 1.000 .888 .393 .140 .069 .093 .226 .397 .621 .855 .724 .356 .140 .077 .104 .218 .367 .553 .648 .505 .294 .139 .066 .110 .241 .417 .593 .605 .450 .289 .177 .078 .098 .246 .460 .640 .635 .479 .300 .206 .103 r_peak,r_snr = .4786633 6.8816 Correlation Surface of oversamples image at 146 5846 .428 .448 .490 .555 .586 .536 .428 .304 .193 .442 .481 .555 .659 .716 .658 .513 .348 .210 .455 .519 .631 .779 .866 .802 .617 .407 .239 .456 .545 .690 .871 .981 .916 .703 .460 .271 .434 .540 .700 .888 1.000 .939 .724 .477 .288 .390 .499 .652 .818 .911 .854 .664 .448 .282 .338 .436 .567 .696 .758 .704 .554 .386 .254 .299 .380 .484 .577 .610 .558 .445 .325 .225 .288 .354 .435 .501 .512 .460 .373 .285 .210 146 .594 5846 -.156 6.88160 .005626 .008748 -.000588 Correlation Surface at 246 5846 .001 .013 .050 .209 .438 .278 .077 .028 .004 .000 .014 .044 .175 .429 .288 .067 .023 .010 .000 .007 .039 .201 .542 .365 .079 .019 .011 .000 .001 .030 .283 .833 .575 .140 .020 .006 .000 .001 .034 .316 1.000 .767 .217 .026 .001 .000 .006 .047 .264 .786 .677 .207 .028 .000 .000 .011 .054 .206 .515 .455 .141 .028 .002 .000 .015 .048 .184 .429 .388 .121 .038 .008 .003 .024 .040 .168 .454 .451 .147 .047 .016 r_peak,r_snr = .365512 13.6672 Correlation Surface of oversamples image at 246 5846 .018 .074 .207 .395 .534 .511 .341 .146 .035 .017 .081 .241 .474 .640 .602 .395 .172 .043 .019 .095 .293 .583 .786 .728 .472 .213 .061 .025 .115 .346 .685 .926 .856 .554 .259 .085 .037 .140 .383 .738 1.000 .935 .612 .296 .106 .059 .167 .397 .723 .974 .929 .624 .308 .115 .085 .190 .386 .651 .866 .847 .586 .293 .109 .105 .199 .355 .556 .730 .733 .525 .265 .096 .109 .192 .317 .473 .613 .632 .470 .242 .085 246 .156 5846 .156 13.66720 .002702 .013504 -.000619 Correlation Surface at 346 5846 .023 .087 .249 .436 .514 .370 .182 .145 .148 .007 .068 .288 .531 .642 .462 .214 .134 .104 .005 .060 .380 .724 .758 .498 .250 .161 .122 .006 .039 .365 .873 .881 .497 .239 .156 .171 .010 .021 .245 .893 1.000 .483 .195 .117 .209 .017 .038 .203 .802 .933 .386 .133 .082 .244 .011 .090 .273 .703 .716 .273 .081 .071 .315 .001 .117 .375 .662 .604 .254 .086 .091 .387 .000 .112 .399 .676 .583 .325 .170 .152 .324 r_peak,r_snr = .2350725 6.48807 Correlation Surface of oversamples image at 346 5846 .133 .293 .487 .616 .667 .630 .489 .367 .325 .148 .310 .511 .672 .770 .749 .591 .445 .386 .168 .338 .546 .728 .862 .861 .682 .506 .426 .173 .361 .593 .797 .947 .953 .757 .550 .442 .148 .362 .635 .863 1.000 .979 .770 .553 .426 .111 .334 .646 .892 .987 .907 .693 .497 .374 .087 .299 .621 .863 .896 .752 .549 .401 .309 .089 .276 .574 .780 .741 .552 .378 .291 .246 .126 .283 .531 .678 .575 .369 .230 .193 .194 346 .219 5846 -1.500 6.48807 .014600 .159586 .006281 Correlation Surface at 446 5846 .310 .132 .061 .081 .310 .571 .256 .095 .146 .206 .125 .064 .066 .275 .513 .308 .147 .153 .117 .081 .075 .115 .404 .544 .282 .210 .159 .129 .110 .156 .284 .708 .727 .254 .201 .202 .162 .189 .260 .448 1.000 .882 .223 .123 .249 .115 .163 .219 .348 .834 .733 .162 .046 .153 .075 .098 .097 .118 .387 .475 .147 .020 .044 .078 .108 .073 .035 .144 .421 .255 .052 .035 .056 .107 .140 .097 .139 .461 .457 .171 .123 r_peak,r_snr = .1462778 5.48324 Correlation Surface of oversamples image at 446 5846 .058 .087 .166 .282 .381 .410 .339 .209 .131 .102 .157 .274 .425 .529 .512 .373 .208 .124 .174 .261 .428 .629 .738 .656 .430 .218 .121 .245 .358 .573 .823 .927 .776 .476 .228 .117 .270 .396 .635 .912 1.000 .801 .476 .226 .111 .247 .364 .592 .859 .925 .717 .422 .205 .099 .192 .281 .470 .696 .742 .563 .333 .169 .084 .131 .183 .316 .488 .525 .399 .245 .135 .073 .087 .103 .182 .305 .347 .279 .187 .118 .074 446 .406 5846 -1.000 5.48324 .034551 .080956 .004283 Correlation Surface at 546 5846 .625 .671 .586 .490 .480 .486 .520 .487 .377 .536 .650 .653 .553 .450 .386 .431 .471 .421 .397 .561 .659 .738 .621 .453 .456 .502 .488 .347 .483 .587 .840 .921 .656 .539 .518 .479 .389 .444 .480 .709 1.000 .818 .567 .482 .415 .431 .423 .411 .541 .810 .793 .541 .448 .397 .428 .431 .431 .492 .632 .673 .519 .451 .437 .422 .471 .531 .561 .605 .577 .506 .475 .460 .422 .503 .609 .657 .655 .545 .470 .459 .418 r_peak,r_snr = .3452566 2.52923 Correlation Surface of oversamples image at 546 5846 .769 .803 .793 .720 .602 .488 .432 .443 .493 .748 .818 .869 .853 .756 .621 .528 .513 .551 .711 .791 .886 .944 .905 .777 .649 .595 .611 .654 .723 .838 .957 .995 .908 .765 .669 .655 .583 .632 .745 .896 1.000 .975 .846 .722 .679 .511 .544 .643 .793 .931 .964 .869 .743 .683 .452 .478 .560 .687 .823 .888 .832 .724 .665 .420 .448 .516 .612 .719 .786 .759 .677 .631 .427 .462 .521 .584 .649 .694 .680 .624 .594 546 1.125 5846 .875 2.52923 .014925 .038106 -.013477 Correlation Surface at 646 5846 .626 .679 .733 .849 .898 .908 .885 .804 .760 .603 .657 .710 .817 .908 .939 .914 .775 .707 .601 .652 .733 .818 .909 .951 .940 .788 .653 .600 .639 .759 .880 .952 .947 .920 .826 .654 .591 .624 .761 .921 1.000 .939 .884 .824 .680 .584 .617 .747 .890 .963 .924 .871 .799 .686 .593 .616 .719 .832 .864 .898 .878 .787 .703 .640 .657 .712 .798 .815 .878 .876 .770 .725 .698 .743 .749 .786 .810 .850 .846 .737 .705 r_peak,r_snr = .5620443 1.68016 Correlation Surface of oversamples image at 646 5846 .746 .789 .829 .875 .920 .943 .938 .917 .893 .756 .810 .852 .890 .922 .933 .922 .902 .885 .757 .824 .878 .918 .944 .941 .917 .896 .884 .748 .826 .897 .949 .976 .962 .924 .898 .890 .729 .813 .898 .966 1.000 .983 .936 .904 .898 .703 .788 .879 .956 .999 .988 .942 .909 .904 .673 .755 .846 .924 .972 .973 .939 .912 .906 .644 .724 .812 .887 .936 .947 .931 .915 .908 .619 .699 .784 .855 .903 .922 .921 .916 .909 646 -1.281 5846 -1.719 1.68016 .020271 .049534 .004354 Correlation Surface at 746 5846 .051 .063 .142 .393 .729 .651 .297 .043 .004 .021 .048 .167 .410 .641 .533 .291 .085 .000 .022 .045 .210 .478 .628 .391 .189 .076 .001 .055 .062 .267 .619 .800 .420 .119 .030 .000 .079 .080 .268 .698 1.000 .540 .135 .017 .002 .065 .089 .221 .603 .919 .546 .189 .027 .000 .069 .108 .219 .501 .703 .460 .177 .024 .000 .102 .137 .267 .528 .635 .404 .122 .006 .005 .134 .145 .277 .599 .694 .401 .095 .001 .012 r_peak,r_snr = .2720973 8.9353 Correlation Surface of oversamples image at 746 5846 .130 .255 .383 .516 .560 .455 .293 .184 .157 .146 .302 .465 .631 .695 .574 .360 .199 .136 .149 .334 .547 .760 .849 .713 .451 .237 .139 .143 .346 .605 .861 .968 .818 .529 .284 .162 .136 .340 .621 .897 1.000 .838 .551 .315 .191 .133 .320 .587 .845 .923 .754 .497 .304 .205 .137 .300 .525 .734 .779 .617 .403 .261 .196 .149 .288 .463 .615 .634 .489 .315 .210 .168 .155 .281 .418 .526 .529 .400 .252 .164 .128 746 -.063 5846 .406 8.93530 .008037 .050715 -.003809 Correlation Surface at 846 5846 .168 .328 .475 .648 .740 .565 .371 .223 .098 .168 .320 .478 .666 .782 .636 .419 .229 .106 .167 .310 .492 .696 .828 .737 .480 .225 .095 .166 .312 .522 .782 .929 .846 .555 .243 .089 .165 .318 .545 .847 1.000 .867 .590 .285 .103 .150 .296 .523 .809 .947 .795 .564 .328 .137 .121 .241 .448 .713 .839 .716 .529 .350 .170 .104 .200 .369 .620 .771 .685 .534 .365 .185 .110 .197 .330 .551 .748 .687 .563 .387 .187 r_peak,r_snr = .5505513 5.39586 Correlation Surface of oversamples image at 846 5846 .492 .592 .693 .774 .804 .783 .724 .623 .489 .509 .626 .742 .829 .858 .836 .779 .673 .522 .528 .664 .800 .896 .920 .889 .825 .713 .552 .546 .696 .851 .957 .974 .927 .849 .733 .573 .554 .710 .876 .988 1.000 .937 .844 .726 .580 .546 .701 .865 .979 .989 .916 .813 .698 .571 .521 .669 .824 .936 .948 .874 .767 .658 .552 .484 .625 .770 .878 .896 .827 .723 .622 .533 .441 .578 .717 .822 .848 .788 .690 .596 .519 846 -.219 5846 .156 5.39586 .006629 .027841 .002671 Correlation Surface at 946 5846 .189 .214 .331 .638 .877 .770 .462 .220 .142 .196 .215 .339 .658 .877 .742 .439 .202 .123 .223 .237 .353 .664 .897 .756 .433 .191 .107 .228 .244 .359 .664 .956 .827 .459 .192 .102 .202 .228 .349 .654 1.000 .884 .479 .198 .108 .181 .217 .338 .635 .965 .847 .449 .193 .115 .187 .231 .349 .622 .881 .766 .402 .178 .112 .212 .253 .362 .610 .821 .722 .391 .164 .094 .226 .261 .359 .582 .791 .725 .415 .162 .075 r_peak,r_snr = .6319568 4.83299 Correlation Surface of oversamples image at 946 5846 .364 .538 .718 .839 .851 .738 .540 .334 .182 .378 .557 .745 .878 .896 .777 .564 .345 .186 .386 .570 .771 .920 .948 .826 .598 .363 .194 .385 .574 .785 .950 .988 .866 .629 .380 .202 .380 .569 .784 .956 1.000 .880 .642 .389 .206 .374 .555 .764 .933 .978 .863 .633 .386 .204 .369 .535 .727 .884 .927 .822 .608 .372 .197 .367 .514 .683 .823 .865 .774 .578 .357 .188 .369 .499 .645 .768 .809 .734 .558 .348 .182 946 .375 5846 -1.094 4.83299 .001820 .033908 -.001070 Correlation Surface at 1046 5846 .267 .345 .459 .643 .820 .743 .457 .258 .159 .297 .371 .460 .649 .859 .758 .470 .261 .162 .315 .373 .462 .697 .915 .781 .480 .256 .156 .286 .349 .467 .751 .979 .779 .476 .265 .158 .241 .332 .461 .760 1.000 .764 .473 .287 .165 .224 .327 .432 .718 .991 .771 .484 .307 .171 .234 .326 .399 .669 .958 .803 .517 .325 .187 .255 .341 .412 .657 .893 .826 .574 .353 .214 .285 .373 .449 .658 .806 .798 .615 .370 .230 r_peak,r_snr = .5073353 3.98595 Correlation Surface of oversamples image at 1046 5846 .339 .432 .576 .738 .830 .793 .649 .489 .353 .346 .459 .630 .806 .885 .818 .652 .483 .350 .350 .481 .676 .868 .939 .848 .666 .490 .354 .347 .487 .699 .907 .981 .882 .693 .512 .369 .335 .476 .694 .913 1.000 .914 .732 .547 .395 .319 .453 .665 .885 .990 .933 .772 .590 .427 .302 .428 .625 .834 .952 .930 .801 .629 .460 .289 .407 .587 .776 .895 .901 .807 .654 .484 .286 .398 .565 .731 .837 .858 .793 .662 .499 1046 .031 5846 .719 3.98595 .003776 .532281 -.008288 Correlation Surface at 1146 5846 .018 .097 .356 .620 .693 .679 .510 .319 .237 .016 .085 .358 .653 .751 .798 .629 .390 .254 .017 .078 .328 .654 .840 .916 .743 .468 .316 .021 .082 .304 .660 .943 .967 .781 .505 .383 .030 .093 .302 .698 1.000 .941 .743 .506 .397 .046 .118 .316 .715 .951 .824 .656 .502 .372 .047 .149 .319 .606 .779 .674 .577 .497 .359 .033 .159 .299 .442 .585 .585 .542 .478 .367 .019 .130 .271 .363 .507 .603 .579 .468 .384 r_peak,r_snr = .4988659 3.82617 Correlation Surface of oversamples image at 1146 5846 .219 .402 .609 .800 .895 .843 .688 .498 .348 .207 .382 .591 .798 .914 .879 .728 .529 .366 .195 .367 .582 .808 .945 .920 .768 .563 .389 .185 .360 .588 .830 .979 .956 .801 .595 .416 .177 .360 .603 .854 1.000 .968 .813 .617 .444 .169 .358 .609 .856 .983 .940 .791 .619 .465 .157 .343 .589 .816 .915 .864 .736 .600 .474 .144 .314 .538 .732 .802 .751 .654 .561 .469 .132 .281 .471 .626 .671 .625 .562 .510 .449 1146 .656 5846 -.531 3.82617 .007472 .060188 .010227 Correlation Surface at 1246 5846 .005 .024 .089 .328 .718 .748 .477 .349 .287 .006 .035 .126 .376 .727 .766 .518 .357 .293 .006 .048 .164 .459 .799 .808 .563 .330 .237 .010 .054 .190 .535 .932 .861 .577 .302 .189 .030 .066 .195 .514 1.000 .893 .519 .268 .182 .056 .098 .215 .463 .984 .916 .435 .230 .186 .068 .146 .266 .470 .913 .893 .399 .215 .173 .080 .192 .326 .524 .811 .829 .419 .230 .156 .108 .226 .355 .579 .755 .793 .489 .251 .144 r_peak,r_snr = .4807912 5.98222 Correlation Surface of oversamples image at 1246 5846 .000 .013 .051 .132 .129 .025 .003 .035 .050 .000 .019 .087 .269 .336 .122 .001 .039 .060 .004 .049 .169 .467 .635 .319 .028 .025 .058 .027 .108 .281 .652 .903 .564 .110 .003 .037 .073 .185 .372 .724 1.000 .739 .229 .005 .012 .133 .273 .422 .669 .909 .783 .345 .040 .001 .239 .423 .512 .623 .805 .805 .478 .111 .004 1246 1.031 5846 3.594 5.98222 .003209 .094697 -.006210 Correlation Surface at 1346 5846 .090 .247 .407 .574 .704 .643 .493 .412 .301 .099 .266 .437 .623 .814 .717 .517 .416 .316 .105 .274 .449 .650 .914 .821 .564 .393 .290 .105 .267 .454 .671 .971 .909 .614 .357 .230 .104 .240 .447 .701 1.000 .935 .632 .338 .195 .096 .194 .403 .691 .970 .888 .604 .331 .194 .078 .156 .341 .597 .826 .740 .500 .296 .189 .070 .152 .311 .492 .637 .560 .363 .229 .161 .075 .169 .319 .437 .512 .448 .276 .179 .131 r_peak,r_snr = .506345 5.84901 Correlation Surface of oversamples image at 1346 5846 .550 .659 .794 .910 .938 .860 .723 .571 .431 .561 .677 .815 .932 .961 .885 .745 .585 .432 .568 .697 .841 .956 .979 .898 .756 .590 .431 .572 .716 .867 .978 .993 .905 .759 .592 .430 .573 .729 .885 .993 1.000 .904 .755 .587 .426 .574 .735 .893 .996 .994 .890 .738 .572 .415 .581 .740 .891 .984 .972 .863 .708 .546 .397 .598 .744 .879 .955 .934 .822 .667 .513 .375 .620 .746 .854 .908 .881 .772 .621 .475 .352 1346 .281 5846 .844 5.84901 .005620 .147899 .005012 Correlation Surface at 1446 5846 .015 .031 .213 .601 .845 .712 .373 .207 .145 .021 .050 .257 .642 .903 .738 .401 .233 .153 .019 .054 .245 .594 .911 .684 .388 .232 .130 .016 .042 .209 .557 .988 .672 .311 .181 .092 .017 .036 .189 .535 1.000 .704 .255 .142 .080 .016 .028 .170 .509 .924 .718 .270 .146 .090 .009 .017 .144 .466 .842 .690 .298 .151 .088 .005 .016 .132 .409 .749 .609 .273 .123 .070 .005 .024 .132 .339 .623 .512 .213 .095 .067 r_peak,r_snr = .3395042 8.07306 Correlation Surface of oversamples image at 1446 5846 .199 .325 .504 .729 .885 .823 .597 .393 .277 .211 .345 .521 .744 .914 .867 .626 .393 .261 .224 .376 .561 .782 .950 .910 .666 .410 .258 .228 .400 .600 .823 .982 .943 .707 .438 .268 .216 .403 .620 .848 1.000 .958 .736 .469 .288 .188 .380 .607 .843 .996 .954 .747 .494 .310 .156 .338 .565 .807 .967 .932 .740 .506 .326 .129 .291 .502 .739 .908 .887 .712 .497 .326 .110 .246 .429 .647 .820 .819 .663 .463 .302 1446 .156 5846 1.875 8.07306 .005099 .258941 -.010021 Correlation Surface at 1546 5846 .175 .449 .703 .822 .846 .830 .726 .404 .205 .187 .413 .676 .834 .888 .877 .761 .436 .231 .204 .368 .589 .796 .925 .899 .702 .404 .236 .215 .336 .524 .781 .975 .904 .638 .376 .215 .210 .310 .475 .762 1.000 .899 .615 .359 .173 .207 .301 .453 .732 .971 .865 .606 .340 .134 .230 .338 .493 .751 .967 .838 .573 .330 .121 .238 .376 .541 .795 .988 .837 .536 .310 .126 .213 .364 .511 .779 .963 .846 .532 .287 .132 r_peak,r_snr = .3871872 4.28037 Correlation Surface of oversamples image at 1546 5846 .398 .540 .708 .860 .937 .914 .811 .675 .543 .406 .544 .715 .869 .942 .910 .809 .685 .563 .422 .557 .729 .887 .956 .913 .803 .685 .575 .439 .574 .746 .908 .979 .925 .796 .672 .574 .446 .583 .756 .923 1.000 .939 .789 .649 .556 .432 .568 .743 .915 1.000 .941 .777 .622 .524 .415 .547 .725 .904 .996 .947 .786 .621 .513 1546 .031 5846 -.250 4.28037 .013950 .447739 -.005207 Correlation Surface at 1646 5846 .144 .331 .588 .747 .608 .381 .215 .136 .093 .125 .317 .619 .843 .701 .418 .224 .138 .099 .100 .277 .608 .946 .864 .526 .268 .141 .097 .087 .241 .555 .954 .983 .664 .339 .162 .103 .086 .213 .482 .865 1.000 .766 .408 .185 .107 .078 .179 .409 .758 .965 .813 .449 .198 .101 .063 .148 .345 .675 .933 .834 .459 .203 .099 .052 .127 .290 .598 .887 .839 .457 .201 .103 .047 .115 .240 .506 .804 .801 .452 .199 .112 r_peak,r_snr = .609014 5.98073 Correlation Surface of oversamples image at 1646 5846 .534 .685 .801 .839 .779 .641 .484 .354 .263 .539 .707 .842 .897 .845 .702 .529 .384 .281 .526 .710 .867 .947 .915 .776 .594 .435 .319 .500 .693 .870 .977 .971 .850 .670 .501 .370 .468 .661 .850 .979 1.000 .906 .742 .572 .428 .434 .618 .808 .949 .996 .938 .802 .639 .485 .398 .568 .750 .897 .969 .948 .846 .696 .533 .362 .517 .688 .838 .931 .947 .878 .742 .574 .328 .470 .632 .785 .898 .945 .904 .779 .606 1646 -.719 5846 -3.750 5.98073 .023206 .291958 -.077053 Correlation Surface at 1746 5846 .243 .360 .502 .722 .937 .800 .483 .299 .171 .239 .387 .553 .681 .880 .775 .466 .287 .179 .244 .409 .601 .699 .901 .821 .484 .288 .176 .253 .426 .603 .752 .988 .891 .529 .309 .175 .240 .427 .568 .766 1.000 .884 .565 .352 .195 .198 .380 .504 .707 .903 .821 .584 .386 .225 .155 .306 .436 .646 .806 .759 .572 .383 .243 .130 .260 .392 .620 .755 .704 .535 .371 .249 .125 .253 .375 .610 .726 .657 .497 .371 .251 r_peak,r_snr = .559235 4.1104 Correlation Surface of oversamples image at 1746 5846 .567 .652 .780 .891 .890 .761 .586 .432 .316 .582 .659 .784 .908 .923 .795 .609 .446 .326 .595 .676 .804 .937 .965 .838 .644 .472 .344 .601 .695 .829 .966 .997 .872 .675 .498 .364 .597 .704 .843 .974 1.000 .879 .689 .515 .381 .575 .692 .832 .950 .967 .855 .683 .521 .391 .538 .656 .792 .896 .907 .812 .665 .518 .393 .491 .607 .736 .829 .838 .763 .641 .510 .390 .448 .559 .680 .763 .773 .713 .616 .499 .383 1746 .344 5846 .219 4.11040 .004321 .031277 .000591 Correlation Surface at 1846 5846 .008 .077 .243 .579 .717 .544 .340 .131 .029 .004 .073 .256 .565 .755 .581 .350 .138 .030 .002 .063 .260 .597 .869 .682 .380 .144 .030 .004 .057 .233 .608 .997 .806 .423 .155 .031 .011 .065 .220 .581 1.000 .836 .454 .173 .039 .015 .083 .244 .568 .893 .742 .441 .185 .053 .010 .087 .281 .589 .807 .633 .380 .174 .061 .006 .077 .292 .606 .769 .574 .323 .154 .060 .005 .066 .284 .601 .721 .550 .314 .151 .059 r_peak,r_snr = .562417 7.20587 Correlation Surface of oversamples image at 1846 5846 .319 .470 .635 .770 .808 .736 .611 .480 .359 .320 .481 .658 .809 .861 .786 .646 .500 .368 .307 .478 .674 .849 .922 .847 .691 .526 .381 .286 .463 .676 .876 .975 .906 .734 .553 .399 .270 .446 .667 .883 1.000 .940 .764 .577 .420 .267 .435 .653 .871 .992 .940 .771 .592 .441 .277 .436 .642 .847 .957 .908 .756 .596 .456 .297 .446 .635 .819 .907 .855 .721 .583 .460 .319 .461 .633 .793 .858 .801 .679 .556 .445 1846 .094 5846 -.250 7.20587 .001880 .029793 .000269 Correlation Surface at 1946 5846 .100 .135 .211 .454 .651 .446 .198 .106 .065 .094 .129 .220 .505 .725 .493 .222 .128 .081 .092 .115 .210 .543 .811 .562 .253 .160 .114 .092 .102 .199 .577 .926 .663 .292 .191 .155 .083 .091 .191 .588 1.000 .749 .328 .213 .189 .059 .078 .176 .548 .963 .763 .357 .228 .211 .033 .058 .147 .457 .832 .702 .366 .237 .225 .017 .037 .112 .359 .667 .607 .358 .241 .236 .011 .024 .083 .282 .534 .528 .353 .246 .241 r_peak,r_snr = .7195913 9.44443 Correlation Surface of oversamples image at 1946 5846 .196 .307 .487 .677 .761 .664 .459 .273 .159 .191 .310 .509 .725 .833 .739 .515 .306 .179 .189 .317 .532 .775 .908 .822 .581 .346 .202 .189 .323 .551 .814 .969 .895 .643 .388 .227 .188 .324 .557 .830 1.000 .939 .688 .422 .249 .183 .316 .544 .815 .990 .942 .704 .441 .264 .172 .297 .511 .770 .941 .903 .687 .442 .270 .156 .268 .464 .704 .865 .836 .646 .425 .264 .137 .236 .412 .630 .777 .755 .590 .396 .252 1946 .125 5846 .156 9.44442 .000687 .009480 -.000555 Correlation Surface at 2046 5846 .004 .030 .291 .760 .647 .165 .018 .000 .028 .011 .020 .293 .787 .683 .179 .020 .000 .022 .024 .008 .258 .781 .747 .232 .029 .000 .016 .036 .001 .198 .740 .867 .343 .051 .001 .013 .038 .001 .143 .655 1.000 .505 .080 .001 .010 .030 .000 .121 .549 .997 .647 .111 .002 .007 .023 .000 .125 .489 .871 .667 .144 .003 .008 .023 .000 .139 .511 .770 .571 .157 .005 .013 .024 .000 .134 .531 .725 .475 .148 .007 .013 r_peak,r_snr = .442285 9.9681 Correlation Surface of oversamples image at 2046 5846 .165 .378 .639 .832 .820 .593 .315 .127 .043 .143 .346 .611 .843 .889 .691 .393 .167 .058 .127 .323 .589 .852 .955 .794 .482 .217 .075 .118 .310 .574 .850 .996 .879 .569 .271 .095 .115 .305 .563 .834 1.000 .924 .634 .321 .118 .117 .309 .561 .815 .975 .923 .666 .359 .141 .122 .320 .571 .807 .944 .897 .669 .383 .162 .128 .333 .589 .812 .921 .861 .652 .389 .177 .130 .341 .603 .822 .907 .826 .622 .380 .183 2046 .094 5846 -.188 9.96810 .004940 .075790 -.014654 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .4372893 6.40835 146 .500 3046 -.125 6.40835 .003949 .028866 .000444 r_peak,r_snr = .3188094 3.21524 246 .469 3046 .125 3.21524 .007824 .120017 -.004186 r_peak,r_snr = .5002047 2.03043 346 .344 3046 -.719 2.03042 .019395 .042885 .006892 r_peak,r_snr = .3848212 7.95365 446 .281 3046 -.125 7.95365 .003493 .022273 -.001294 r_peak,r_snr = .4688326 7.76667 546 .063 3046 -.188 7.76666 .003965 .013981 .000013 r_peak,r_snr = .4453349 2.67301 746 .781 3046 .031 2.67301 .006104 .073360 -.004522 r_peak,r_snr = .263747 3.64266 846 .625 3046 2.781 3.64266 .062111 .429632 -.107501 r_peak,r_snr = .5075276 9.91722 946 .469 3046 .438 9.91722 .002297 .021830 -.002835 r_peak,r_snr = .4993916 2.54323 1046 .313 3046 .219 2.54323 .010061 .070254 .010271 r_peak,r_snr = .5044123 3.73197 1146 -.156 3046 -2.813 3.73197 .010276 .144099 -.010097 r_peak,r_snr = .4053256 3.21564 1246 .906 3046 -.094 3.21564 .013628 .024572 -.005188 r_peak,r_snr = .2910069 11.54326 1346 .375 3046 2.719 11.54326 .007568 .148610 .017290 r_peak,r_snr = .2260765 3.93172 1446 .719 3046 .250 3.93172 .016689 .195966 -.021416 r_peak,r_snr = .2266668 10.8237 1546 .719 3046 -.031 10.82370 .016025 .120036 .018610 r_peak,r_snr = .3872519 13.66467 1646 .313 3046 -.313 13.66467 .003413 .083462 -.002309 r_peak,r_snr = .3015208 7.3666 1746 .281 3046 .063 7.36660 .005002 .048146 -.001733 r_peak,r_snr = .1884351 14.01646 1846 .156 3046 1.750 14.01646 .013275 .796232 .013155 r_peak,r_snr = .1125107 18.19186 1946 .063 3046 1.281 18.19186 .014247 .126542 .025736 r_peak,r_snr = .1765362 5.92181 2046 .781 3046 -.250 5.92180 .036982 .104558 .011606 At line = 3400 Reading in data.... r_peak,r_snr = .5916632 3.54413 146 .531 3446 .094 3.54413 .004828 .013794 -.001357 r_peak,r_snr = .3550872 17.40464 246 .438 3446 .250 17.40464 .003026 .005140 -.000556 r_peak,r_snr = .2323459 11.07204 346 .406 3446 -5.594 11.07204 .015447 .036847 .000137 r_peak,r_snr = .2940036 19.15544 446 .500 3446 .500 19.15544 .004295 .038112 -.003970 r_peak,r_snr = .4541262 15.29676 546 .375 3446 .094 15.29676 .001129 .006887 -.000526 r_peak,r_snr = .2211631 16.88941 646 .500 3446 .156 16.88941 .009650 .024932 .001476 r_peak,r_snr = .3600816 18.61912 746 .344 3446 -.219 18.61912 .002701 .018187 -.002385 r_peak,r_snr = .4714758 4.93313 846 .438 3446 .250 4.93313 .009734 .017777 .001611 r_peak,r_snr = .6971551 18.7888 946 .344 3446 .063 18.78880 .000509 .002069 -.000105 r_peak,r_snr = .3351485 7.65112 1046 .063 3446 -.719 7.65112 .008219 .105742 -.000559 r_peak,r_snr = .3645567 13.42829 1146 .406 3446 -.094 13.42829 .003413 .010576 .000617 r_peak,r_snr = .1450974 10.40668 1246 .094 3446 -3.656 10.40668 .010510 .115927 -.001072 r_peak,r_snr = .230628 10.87754 1346 .719 3446 -2.094 10.87754 .016646 .100799 .000228 r_peak,r_snr = .1679015 16.50039 1446 .219 3446 .281 16.50039 .007725 .145795 .001305 r_peak,r_snr = .1808932 7.32781 1546 .281 3446 -1.219 7.32781 .126938 3.727573 -.584933 r_peak,r_snr = .2311626 12.10508 1646 .406 3446 .844 12.10508 .022036 .758608 -.105345 r_peak,r_snr = .1354166 7.74186 1746 .125 3446 -.875 7.74186 .025119 .074858 -.012481 r_peak,r_snr = .2205449 13.28454 1846 .156 3446 .000 13.28454 .007528 .092589 -.005550 r_peak,r_snr = .1222598 15.87629 1946 .094 3446 -.031 15.87629 .029730 .101267 -.033005 r_peak,r_snr = 9.54551E-02 9.32718 2046 2.813 3446 11.188 9.32718 .126128 .688579 .042557 At line = 3800 Reading in data.... r_peak,r_snr = .5144795 3.11668 146 .563 3846 .094 3.11668 .004130 .011514 -.001083 r_peak,r_snr = .4655018 13.72822 246 .313 3846 .031 13.72822 .001977 .009774 -.000648 r_peak,r_snr = .4687643 2.11303 346 .500 3846 -.125 2.11303 .013161 .073009 -.021155 r_peak,r_snr = .3595029 12.24203 446 .313 3846 -.031 12.24203 .004656 .012198 -.001208 r_peak,r_snr = .432714 11.66661 546 .438 3846 -.250 11.66661 .001566 .028236 -.001283 r_peak,r_snr = .3796234 3.88632 646 .438 3846 .188 3.88632 .009640 .045920 -.001201 r_peak,r_snr = .3400055 9.49477 746 .281 3846 .281 9.49477 .005580 .137590 -.003744 r_peak,r_snr = .412764 6.28934 846 .594 3846 -.250 6.28934 .006298 .069474 .004868 r_peak,r_snr = .2630304 5.23399 946 .625 3846 -3.219 5.23399 .018066 .160431 -.002729 r_peak,r_snr = .4534946 3.59434 1046 .313 3846 1.031 3.59434 .009270 .096090 -.009598 r_peak,r_snr = .2981942 6.41804 1146 .531 3846 -2.750 6.41804 .012053 1.350579 -.010461 r_peak,r_snr = .5007547 3.37757 1246 .563 3846 1.844 3.37757 .003912 .770217 .013616 r_peak,r_snr = .2434836 9.34067 1346 -.156 3846 -.688 9.34067 .016333 .088471 .000336 r_peak,r_snr = .4452336 2.25326 1446 .219 3846 2.781 2.25326 .022422 .077969 .008821 r_peak,r_snr = .192866 7.66069 1546 .000 3846 -1.000 7.66069 .027452 .224160 -.026625 r_peak,r_snr = .153961 8.0262 1646 .281 3846 .063 8.02620 .103002 .443854 -.029981 r_peak,r_snr = .2489391 7.80143 1746 .938 3846 3.813 7.80143 .008561 .554283 .010412 r_peak,r_snr = .2529953 9.23051 1846 .125 3846 .313 9.23051 .006230 .085153 -.005132 r_peak,r_snr = .263335 7.56443 1946 .594 3846 -.750 7.56443 .021863 .059304 .020225 r_peak,r_snr = 9.80580E-02 10.61196 2046 .375 3846 .188 10.61196 .016948 .051252 -.007914 At line = 4200 Reading in data.... r_peak,r_snr = .1416534 7.20316 146 .906 4246 .875 7.20316 .009613 .405095 .005071 r_peak,r_snr = .1796876 17.94657 246 .469 4246 -.188 17.94657 .009189 .024618 -.002693 r_peak,r_snr = .2976551 5.61606 346 .188 4246 -.094 5.61606 .008948 .038488 -.003029 r_peak,r_snr = .4322733 20.51213 446 .438 4246 .000 20.51213 .002018 .005050 -.000103 r_peak,r_snr = .7990397 19.93405 546 .250 4246 -.188 19.93405 .000270 .000966 -.000074 r_peak,r_snr = .2447804 20.39771 646 .500 4246 .406 20.39771 .009459 .101970 .010476 r_peak,r_snr = .1565288 10.22794 746 .375 4246 -.469 10.22794 .013390 .046617 -.006260 r_peak,r_snr = .3595211 8.27686 846 .156 4246 -.063 8.27686 .008165 .246003 -.023040 r_peak,r_snr = .4273498 4.95427 946 .438 4246 -1.781 4.95427 .007691 1.722735 -.056000 r_peak,r_snr = .295866 5.47844 1046 -.594 4246 8.875 5.47844 .010445 .134845 -.004472 r_peak,r_snr = .4268633 2.80702 1146 .375 4246 -.188 2.80702 .010454 .455446 -.014929 r_peak,r_snr = .6022283 4.88834 1246 .938 4246 7.438 4.88834 .005029 .118266 -.017051 r_peak,r_snr = .426444 3.69415 1346 -.250 4246 .313 3.69415 .010940 .039843 .000066 r_peak,r_snr = .4094327 6.40507 1446 -.063 4246 3.406 6.40507 .004550 .290472 -.001745 r_peak,r_snr = .3479615 3.19652 1546 .500 4246 .563 3.19652 .013532 .168935 -.007859 r_peak,r_snr = .3436746 2.43427 1646 -.656 4246 4.125 2.43427 .044010 .328913 .016013 r_peak,r_snr = .1794387 4.78723 1746 -.813 4246 3.375 4.78723 .042969 .334288 -.019564 r_peak,r_snr = .3257035 15.23485 1846 .375 4246 -.063 15.23485 .003567 .032560 -.001493 r_peak,r_snr = .2895296 5.36456 1946 -.125 4246 .625 5.36456 .058140 .175978 -.007343 r_peak,r_snr = .3483922 6.838 2046 .000 4246 -4.219 6.83800 .007128 .293192 -.017400 At line = 4600 Reading in data.... r_peak,r_snr = .3447003 8.0277 146 .563 4646 .094 8.02770 .006350 .018804 .000898 r_peak,r_snr = .1378893 16.25789 246 .594 4646 .438 16.25789 .028881 .050594 -.006655 r_peak,r_snr = .2417883 5.20635 346 .438 4646 .344 5.20635 .012560 .139886 -.013150 r_peak,r_snr = .4212036 77.50278 446 .500 4646 .063 77.50278 .001098 .001877 .000004 r_peak,r_snr = .2317444 56.93926 546 .406 4646 .000 56.93926 .002830 .006218 -.000467 r_peak,r_snr = .1873424 34.81302 646 .656 4646 -.219 34.81302 .007919 .021483 -.002481 r_peak,r_snr = .2255158 13.36614 746 .438 4646 -.719 13.36614 .011331 .043486 .000635 r_peak,r_snr = .5035191 6.69952 846 .188 4646 .125 6.69952 .003455 .020053 -.000963 r_peak,r_snr = .5422166 2.63373 946 .000 4646 .125 2.63373 .004817 .042302 -.002688 r_peak,r_snr = .2720385 25.13244 1046 .344 4646 -.250 25.13244 .004991 .016009 .001585 r_peak,r_snr = .3842465 3.0966 1146 .375 4646 -.094 3.09660 .016535 .127245 .008507 r_peak,r_snr = .4316944 13.07006 1246 .406 4646 .438 13.07006 .002560 .021147 -.001844 r_peak,r_snr = .4724678 5.50314 1346 .188 4646 -1.156 5.50314 .004956 .187277 -.014664 r_peak,r_snr = .4690624 4.55133 1446 .344 4646 -.313 4.55133 .010141 .120054 -.022385 r_peak,r_snr = .2366641 3.94412 1546 .125 4646 7.625 3.94412 .056160 .127929 -.028471 r_peak,r_snr = .5382025 3.46606 1646 -.063 4646 .188 3.46606 .003452 .048686 -.000655 r_peak,r_snr = .1575501 10.63601 1746 .375 4646 -10.563 10.63601 .021437 .065443 -.008511 r_peak,r_snr = .2210208 10.42765 1846 .375 4646 -1.656 10.42765 .027735 .193566 -.045707 r_peak,r_snr = .3307706 4.97479 1946 .375 4646 -.281 4.97479 .014465 .129357 -.013729 r_peak,r_snr = .2370391 15.00309 2046 .344 4646 -.031 15.00309 .004931 .022685 -.000490 At line = 5000 Reading in data.... r_peak,r_snr = .4529782 4.64545 146 .063 5046 -3.594 4.64545 .007556 .046420 -.003353 r_peak,r_snr = .1481412 7.14967 246 .563 5046 -.156 7.14967 .041877 .069899 -.028344 r_peak,r_snr = .3742431 17.69769 346 .531 5046 .188 17.69769 .002604 .024969 -.000911 r_peak,r_snr = .3964761 6.29502 446 .438 5046 .125 6.29502 .003708 .006243 -.000516 r_peak,r_snr = .5981682 1.74218 546 -2.781 5046 -3.750 1.74218 .012552 .110564 .014814 r_peak,r_snr = .3091559 9.28789 646 .219 5046 .125 9.28789 .005108 .032905 -.000031 r_peak,r_snr = .2339852 8.76299 746 .469 5046 -1.688 8.76299 .008951 .109454 .001841 r_peak,r_snr = .4598862 8.44847 846 .563 5046 .031 8.44847 .003986 .009607 -.001245 r_peak,r_snr = .4922793 6.02749 946 .156 5046 -.688 6.02749 .004705 .030365 -.005723 r_peak,r_snr = .2414405 7.63853 1046 .250 5046 -.031 7.63853 .005079 .019669 .000860 r_peak,r_snr = .2721535 18.39347 1146 .250 5046 1.781 18.39347 .006111 .070845 -.009009 r_peak,r_snr = .4482569 3.42571 1246 .250 5046 -2.781 3.42571 .022312 .146082 -.034894 r_peak,r_snr = .4758691 4.03722 1346 .500 5046 -.188 4.03722 .007789 .077375 -.011149 r_peak,r_snr = .3027855 7.05618 1446 .625 5046 2.750 7.05618 .036670 3.482894 -.314802 r_peak,r_snr = .4511955 5.86693 1546 .344 5046 .000 5.86693 .004980 .032290 .000900 r_peak,r_snr = .2665949 6.59574 1646 .188 5046 -.219 6.59574 .007435 .057223 .000549 r_peak,r_snr = .2570899 9.05896 1746 .000 5046 .344 9.05896 .008849 .088879 -.005264 r_peak,r_snr = .1749522 4.78292 1846 .563 5046 -.438 4.78292 .105961 .849606 -.252638 r_peak,r_snr = .5574344 2.55746 1946 .031 5046 .063 2.55746 .004027 .040675 .002074 r_peak,r_snr = .5787494 8.22465 2046 .469 5046 .125 8.22464 .001627 .008499 -.000146 At line = 5400 Reading in data.... r_peak,r_snr = .4830689 5.8604 146 .063 5446 .281 5.86040 .005288 .064163 -.000377 r_peak,r_snr = .2414833 46.31593 246 .469 5446 -.031 46.31593 .005116 .007164 -.001509 r_peak,r_snr = .3132383 8.73117 346 .125 5446 .219 8.73117 .003655 .028756 -.001172 r_peak,r_snr = .3262438 2.24466 446 .344 5446 -3.813 2.24466 .221743 3.167401 -.729218 r_peak,r_snr = .1962745 12.73573 546 .094 5446 -.219 12.73573 .013775 .034373 -.008060 r_peak,r_snr = .3409479 23.8308 646 .438 5446 .000 23.83080 .002560 .017649 -.001368 r_peak,r_snr = .2201459 21.43169 746 .313 5446 -.031 21.43169 .006854 .011874 -.000481 r_peak,r_snr = .2958014 7.67684 846 .281 5446 -.281 7.67684 .012791 .018170 -.000232 r_peak,r_snr = .4111106 4.86233 946 .938 5446 -.250 4.86233 .012842 .226001 -.017722 r_peak,r_snr = .2814897 7.60486 1046 .281 5446 .813 7.60486 .005133 .036651 -.001385 r_peak,r_snr = .4998951 3.3933 1146 -.094 5446 .313 3.39330 .005188 .025345 -.003108 r_peak,r_snr = .3801568 6.06522 1246 -.250 5446 11.188 6.06522 .012146 .404400 -.032238 r_peak,r_snr = .391784 5.09246 1346 .625 5446 .063 5.09246 .003608 .016297 -.001634 r_peak,r_snr = .1375438 8.78328 1446 .313 5446 -.344 8.78328 .039595 .239853 .015380 r_peak,r_snr = .2317521 5.84236 1546 .438 5446 -5.813 5.84236 .022239 .089613 -.025285 r_peak,r_snr = .2685412 7.59163 1646 .344 5446 -.156 7.59163 .025682 .075032 -.026135 r_peak,r_snr = .379986 5.1998 1746 .469 5446 .219 5.19980 .008261 .234988 -.028820 r_peak,r_snr = .537019 5.37011 1846 .750 5446 -.781 5.37011 .005588 .060653 -.001439 r_peak,r_snr = .5212883 3.64124 1946 .281 5446 .188 3.64124 .010170 .044204 .000615 r_peak,r_snr = .7333381 22.9331 2046 .125 5446 -.656 22.93310 .000480 .001574 -.000101 At line = 5800 Reading in data.... r_peak,r_snr = .4798086 12.39961 146 .531 5846 .063 12.39961 .001665 .003248 -.000107 r_peak,r_snr = .3808437 13.66015 246 .563 5846 .250 13.66015 .003784 .011066 -.001309 r_peak,r_snr = .3271646 7.93785 346 .438 5846 .313 7.93785 .005351 .040022 .000995 r_peak,r_snr = .1624373 7.58712 446 .469 5846 -.688 7.58712 .021851 .078299 -.017224 r_peak,r_snr = .323505 3.856 546 .688 5846 .438 3.85600 .007744 .016032 -.001084 r_peak,r_snr = .5029312 2.02993 646 -.313 5846 -.406 2.02993 .019260 .032924 -.003264 r_peak,r_snr = .281555 15.30538 746 .281 5846 -.063 15.30538 .004950 .022862 -.002229 r_peak,r_snr = .5397705 5.20839 846 -1.250 5846 -6.094 5.20839 .005983 .032314 -.007346 r_peak,r_snr = .5922683 5.09897 946 .281 5846 .438 5.09897 .001907 .031960 -.001903 r_peak,r_snr = .481296 4.56671 1046 .188 5846 .125 4.56671 .002956 .052207 -.000469 r_peak,r_snr = .4568178 4.64691 1146 .531 5846 .531 4.64691 .003104 .017132 -.000461 r_peak,r_snr = .3831962 8.37015 1246 .438 5846 .250 8.37015 .007900 .015350 -.002489 r_peak,r_snr = .4840063 5.48739 1346 -.063 5846 3.219 5.48739 .004591 .071112 -.001664 r_peak,r_snr = .2584452 6.10862 1446 .156 5846 .188 6.10862 .008817 .169129 .001904 r_peak,r_snr = .3567459 4.34467 1546 -.094 5846 -2.750 4.34467 .056898 .538180 .131788 r_peak,r_snr = .5644834 6.07491 1646 .344 5846 .156 6.07491 .003358 .022435 -.004837 r_peak,r_snr = .4498667 4.64716 1746 .531 5846 -1.125 4.64716 .006573 .459833 -.015151 r_peak,r_snr = .4481728 5.781 1846 .656 5846 -.375 5.78100 .009096 .110294 -.019578 r_peak,r_snr = .5527194 8.18374 1946 .375 5846 .969 8.18374 .002741 .121341 -.010503 r_peak,r_snr = .4548034 10.73654 2046 .094 5846 .750 10.73654 .002615 .036943 -.000095 ************************************************* ***** 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 95036 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 95036 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 95036 12.00 6.00 12.00 0.79 0.24 -1.44 132.945 1 125.236 1 84.352 87.90 82.70 95.30 139.46 0.00 0.00 0.00 87.30 0.59 -1.19 -0.85 132.01 122.933 1 84.357 83.40 77.80 88.70 7.94 0.00 0.00 0.00 82.36 scanning calib for 95001 to 95999 block= 4 95036 FOUND CALIB SET 95036 6.0 6.0 6.0 6.0 11.00 0.79 0.24 -0.45 132.531 1 125.134 1 85.496 87.90 82.70 96.00 -23.26 - 0.00 0.00 0.00 90.55 0.59 -1.19 .0 -1.19 .0 -0.85 133.112 1 123.444 124.967 123.444 124.967 84.200 83.30 78.8 78.8 78.6 78.9 90.60 4.497 77.38 61.663 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: -12.1 -209.434 -209.767 -209.234 -209.867 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: -12.10 deg Receiver phase difference is 13.10 deg Transmitter phase difference is 1.00 deg Cable phase difference is 77.38 deg Reading data to estimate cross-talk. 256 512 768 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 Enter number of set to convert: Enter the cband filename: Enter the output filename: Reading new header..STARTING at 0 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 Tue Apr 21 02:01:01 PDT 1998 ****************************************************** * * * 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): WARNING!! run shift_byte_auto to check C-band data 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