processor job ****************************************************** * * * Integrated AIRSAR Processor * * Script Generator Program * * * * This program generates all the scripts necessary * * to run the command file generator for the AIRSAR * * processor. * * * ****************************************************** Enter the name of the disk with the raw data (def=data1): Enter the final output disk (def=data11): Enter the final output disk (def=data11): Enter the final output disk (def=data11): How many bytes offset in range (def=0)? Which year was data taken (def=95)? Enter the chirp bandwidth (def=40): Enter HDDT number: Enter the IDR number: Enter an image title of no more than 28 characters: Enter the TS number for this scene: What is the desired post spacing (def=10)? what is the # of lines of download tape (def=40960)? Do you want to specify the processing altitude (def=n)? Is there a DEM to use in calibration (def=y)? Enter number of frequencies to process (def=3): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): Enter the frequency (P, L or C) Enter the radar mode, 0=POLSAR, 1=TOPSAR, 2=PINGPONG (def=0): Enter the number of looks (def=18): ***** Please run "gencom_all" now! ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_C.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_C_DATAIN file. Wrote PATCHES_C.COM file. Wrote PROCESSOR_CHH.COM file. Wrote PROCESSOR_CHV.COM file. Wrote PROCESSOR_CVH.COM file. Wrote PROCESSOR_CVV.COM file. Write DESKEW_CHH.COM file. Write DESKEW_CHV.COM file. Write DESKEW_CVH.COM file. Write DESKEW_CVV.COM file. Wrote MLOOK_LINESC.COM file. Wrote MULTILOOK_C.COM file. Wrote RADIOMETRIC_C.COM file Wrote COMPRESS_C.COM file Wrote C_PIC.COM file Wrote HD.COM file Please delete the *.lines.dat after you are done ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_L.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_L_DATAIN file. Wrote PATCHES_L.COM file. Wrote PROCESSOR_LHH.COM file. Wrote PROCESSOR_LHV.COM file. Wrote PROCESSOR_LVH.COM file. Wrote PROCESSOR_LVV.COM file. Write DESKEW_LHH.COM file. Write DESKEW_LHV.COM file. Write DESKEW_LVH.COM file. Write DESKEW_LVV.COM file. Wrote MLOOK_LINESL.COM file. Wrote MULTILOOK_L.COM file. Wrote RADIOMETRIC_L.COM file Wrote COMPRESS_L.COM file Wrote L_PIC.COM file Please delete the *.lines.dat after you are done ****************************************************** * * * Integrated AIRSAR Processor * * C-Band Command File Generator Program * * * * This program genetares all the command files * * needed to run the C-band processor to produce * * the four output files. * * * ****************************************************** Enter the frequency (P, L or C) Enter the name of the disk with the raw data (def=data1): Enter the disk for the undeskewed data (def=data3): Enter the hh and hv deskewed data disk (def=data9): Enter the vh and vv deskewed data disk (def=data10): Enter the final output disk (def=data11): Enter a six character name for the scene: How many bytes offset in range (def=0)? Which year was data taken? (eg 93) Please enter HDDT number. Enter the IDR number. Enter an image title of no more than 28 characters. Enter the TS number for this scene. Enter the number of looks (def=18): What is the desired post spacing (def=10)? Do you want to specify the processing altitude? Is there a DEM to use in calibration and projection? (y/n) Wrote the HDR.CMD file. Wrote the HDR_PROC_C.COM file. Wrote SPLIT_MOCOMP_P.COM file. Wrote GLOBAL_LINE.COM file. Wrote CAL_P_DATAIN file. Wrote PATCHES_P.COM file. Wrote PROCESSOR_PHH.COM file. Wrote PROCESSOR_PHV.COM file. Wrote PROCESSOR_PVH.COM file. Wrote PROCESSOR_PVV.COM file. Write DESKEW_PHH.COM file. Write DESKEW_PHV.COM file. Write DESKEW_PVH.COM file. Write DESKEW_PVV.COM file. Wrote MLOOK_LINESP.COM file. Wrote MULTILOOK_P.COM file. Wrote RADIOMETRIC_P.COM file Wrote COMPRESS_P.COM file Wrote P_PIC.COM file Please delete the *.lines.dat after you are done Tue Apr 28 15:31:36 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 20:29:52 IDR=119600 FC=21,061,000 drft 1.3; smooth ride; almost cloud-free; CPA @ 20:19:28 IDR=053050 FC=20,546,391 drft -0.5; plenty of signal1 looks greatturb brieflyrdeduring 1st halfrick, Timothy William Millermothy William Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94046 94046 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5271 prod ID1:*5271*5271* +53 54.5 -104 40.5 here here here here here chrp_delay is 32.5 usec 94046 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.10 24 6 5 18 16 20 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.10 24 6 5 18 16 20 Done decoding data from header array... Data collected on ==> 21-JUL-1994 Starting and end GPS times for SAR data -171904411.0660 -171904362.0140 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 lati 53.86554 53.83936 53.89172 .0151573 0 loni -104.75291 -104.81970 -104.68649 .0384764 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8158.99023 8174.93018 5.2732916 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171904411.066751 -171904411.066 GPS trend coefficients = 10.60791236124931 -27.4774950142171 9.43478152991253 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 delx .25720 .25712 .25722 .0000128 0 lati 53.86554 53.83936 53.89154 .0151568 0 loni -104.75291 -104.81901 -104.68649 .0384745 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8164.06072 8166.43480 .4787149 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00926 -.08750 .14505 .0417648 0 ca .01393 -.10732 .14429 .0300900 0 aa -.04845 -.09540 -.01431 .0128510 0 Average Barometric Altitude = 7923.561750000014 Average Radar Altitude = 7751.11543499998 Average GPS Altitude = 8165.505675506705 >>Record # : 64 >>GPS Stuff = 2.10 24 6 5 18 1 >>Record # : 40960 >>GPS Stuff = 2.10 24 6 5 18 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.943544309412573E-04 Standard deviation of difference = 2.888745972423349E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8751183 -104.7982101 8165.567 End position = 53.8491745 -104.7329712 8164.934 Loxodromic Heading (deg) = 123.9308277 Loxodromic Distance (km) = 5173.1396375 Geodesic Heading (deg) = 123.9044801 Geodesic Distance (km) = 5173.1394227 Peg latitude and longitude = 53.8621483 -104.7655487 Peg heading = 123.9516078 Rotation matrix First row = -.150301170 .687162801 .710786074 Second row = -.570255251 -.647556495 .505449835 Third row = .807600463 -.329359789 .489186695 Translation vector Vector = -701.87152 -2662.95942 -30786.88035 Local Radius of Curvature = 6387437.101806902 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2586639386130985 Delta s on reference surface = .2586639397075425 Making fits... Vertical fit coefficients = 8164.294964539976 .1846099027841319 -3.605603944155433E-03 Cross track fit coefficients = -7.95161963505718 .4558216863094728 -7.442478899737370E-04 Along track fit coefficients = -5329.15101741795 216.56710115947 -2.458525056008298E-04 Miscellaneous Information Start range = 8304.25225 Start ground range = 2980.069620820144 Time orgin = -171904411.066751 Pulse spacing = .2572010432937112 First frame = 21914520 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/cm5271_c.par Enter the raw data file name. /data1/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5271_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (357.4477,.0) (23.82984,.0) (198.582,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 642520.5 Pulse#/64: 65 1073 216396.8 Pulse#/64: 129 1073 463300.0 Pulse#/64: 193 1073 1423512. Pulse#/64: 257 1073 156771.0 Estimate Caltone : 1157 -----CalTone Estimate Position --- CalTone Bin at : 1157 1073 CalTone Bin offset : -84 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.54933Power RMS: 2.5404 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 786.5244Amp. RMS: 230.7884 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 13.34775Phase RMS: 267.1762 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.57691 CalTone Power Coherently dB : 57.54933 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.57691 Incoherent PW - Coherent PW : 36.02758 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47639.96 CalTone Amplitude Coherently : 786.5244 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46853.43 ------------ *** ------------ running time (sec): 47.13 ********** 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/cm5271_c.par Enter the raw data file name. /data1/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5271_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_hv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-55.735,.0) (15.92428,.0) (23.88643,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 768280.8 Pulse#/64: 65 1073 522892.7 Pulse#/64: 129 1073 413811.1 Pulse#/64: 193 1073 2074782. Pulse#/64: 257 1073 620926.3 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.03292Power RMS: 1.55089 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 809.9468Amp. RMS: 146.2365 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 78.58769Phase RMS: 249.0126 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.1919 CalTone Power Coherently dB : 58.03292 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.1919 Incoherent PW - Coherent PW : 36.15898 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 51303.43 CalTone Amplitude Coherently : 809.9468 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 50493.48 ------------ *** ------------ running time (sec): 30.67 ********** 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/cm5271_c.par Enter the raw data file name. /data1/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5271_c.mocomph Enter a file name for the range spectrum: /data1/airops/db_c_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-35.8296,.0) (63.69715,.0) (39.81071,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 856509.7 Pulse#/64: 65 1073 444951.1 Pulse#/64: 129 1073 460083.1 Pulse#/64: 193 1073 625203.6 Pulse#/64: 257 1073 438408.3 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.44303Power RMS: 1.58438 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 757.3973Amp. RMS: 139.9073 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -27.335Phase RMS: 262.7384 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.57357 CalTone Power Coherently dB : 57.44303 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.57357 Incoherent PW - Coherent PW : 36.13053 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47796.11 CalTone Amplitude Coherently : 757.3973 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 47038.71 ------------ *** ------------ running time (sec): 32.43 ********** 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/cm5271_c.par Enter the raw data file name. /data1/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5271_c.mocompv Enter a file name for the range spectrum: /data1/airops/db_c_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_c_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_c_vv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_c_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (174.7522,.0) (-15.8866,.0) (-55.603,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 708306.7 Pulse#/64: 65 1073 524995.7 Pulse#/64: 129 1073 1765805. Pulse#/64: 193 1073 959705.9 Pulse#/64: 257 1073 695152.1 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.3924Power RMS: 2.30303 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 860.8804Amp. RMS: 238.5927 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 48.35874Phase RMS: 277.409 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.37679 CalTone Power Coherently dB : 58.3924 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.37679 Incoherent PW - Coherent PW : 35.98438 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 52394.85 CalTone Amplitude Coherently : 860.8804 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 51533.97 ------------ *** ------------ running time (sec): 38.53 ********** 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: -4.45939 1.42038E-04 z fit: constant and linear terms: 1.21085 1.87731E-09 y and z standard deviations (meters) 1.35989 .4557612 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 = .4179686 .4042595 .3936148 .3864373 Differences = 1.73985E-02 3.68941E-03 -6.95530E-03 -1.41328E-02 PATCH NUMER 2 First line = 1889 Averages = .3940891 .3881239 .3850295 .396373 Differences = 3.18521E-03 -2.77996E-03 -5.87440E-03 5.46914E-03 PATCH NUMER 3 First line = 3777 Averages = .3838666 .3945234 .4038413 .4127545 Differences = -1.48800E-02 -4.22323E-03 5.09468E-03 1.40080E-02 PATCH NUMER 4 First line = 5665 Averages = .4027391 .4111878 .4188421 .4212996 Differences = -1.07781E-02 -2.32944E-03 5.32487E-03 7.78237E-03 PATCH NUMER 5 First line = 7553 Averages = .4184223 .4215463 .4136064 .4163513 Differences = 9.40770E-04 4.06474E-03 -3.87508E-03 -1.13022E-03 PATCH NUMER 6 First line = 9441 Averages = .4151165 .4149927 .425182 .436019 Differences = -7.71090E-03 -7.83470E-03 2.35465E-03 1.31917E-02 PATCH NUMER 7 First line = 11329 Averages = .423212 .4350038 .4444773 .4497281 Differences = -1.48931E-02 -3.10138E-03 6.37218E-03 1.16229E-02 PATCH NUMER 8 First line = 13217 Averages = .4429367 .4489602 .4572134 .4701024 Differences = -1.18666E-02 -5.84313E-03 2.41011E-03 1.52991E-02 PATCH NUMER 9 First line = 15105 Averages = .4549295 .4690104 .4721633 .4783507 Differences = -1.36841E-02 3.96758E-04 3.54967E-03 9.73704E-03 PATCH NUMER 10 First line = 16993 Averages = .4723449 .4764609 .4859683 .4824295 Differences = -6.95610E-03 -2.84004E-03 6.66738E-03 3.12853E-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/cm5271_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_hh Name of the mocomp data file? /data3/airops/cm5271_c.mocomph Output file name? /data3/airops/cm5271_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ch xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.282 Processing 10 blocks Processing block number 1 reference line: 2048 2.283 seconds. Range compression done, time = 61.519 shift in azimuth (fractional pixel)= -.499823 Motion comp. coeff. calculated, time = 61.540 Motion comp. added to patch, time = 107.959 Doppler estimation done, time = 107.959 Azimuth compression starting, time : 108.032 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 279.609 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 289.302 seconds. Range compression done, time = 342.853 shift in azimuth (fractional pixel)= -.499836 Motion comp. coeff. calculated, time = 342.873 Motion comp. added to patch, time = 380.813 Doppler estimation done, time = 380.813 Azimuth compression starting, time : 380.887 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 554.009 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 564.511 seconds. Range compression done, time = 618.052 shift in azimuth (fractional pixel)= -.499825 Motion comp. coeff. calculated, time = 618.072 Motion comp. added to patch, time = 656.000 Doppler estimation done, time = 656.000 Azimuth compression starting, time : 656.073 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 830.928 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 839.341 seconds. Range compression done, time = 893.069 shift in azimuth (fractional pixel)= -.499816 Motion comp. coeff. calculated, time = 893.089 Motion comp. added to patch, time = 936.790 Doppler estimation done, time = 936.790 Azimuth compression starting, time : 936.863 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1118.683 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1130.142 seconds. Range compression done, time = 1183.328 shift in azimuth (fractional pixel)= -.499818 Motion comp. coeff. calculated, time = 1183.348 Motion comp. added to patch, time = 1221.325 Doppler estimation done, time = 1221.325 Azimuth compression starting, time : 1221.397 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1416.235 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1424.608 seconds. Range compression done, time = 1478.238 shift in azimuth (fractional pixel)= -.499816 Motion comp. coeff. calculated, time = 1478.260 Motion comp. added to patch, time = 1516.137 Doppler estimation done, time = 1516.137 Azimuth compression starting, time : 1516.209 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1721.089 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1731.624 seconds. Range compression done, time = 1785.148 shift in azimuth (fractional pixel)= -.499798 Motion comp. coeff. calculated, time = 1785.168 Motion comp. added to patch, time = 1823.431 Doppler estimation done, time = 1823.431 Azimuth compression starting, time : 1823.503 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2032.026 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2039.658 seconds. Range compression done, time = 2093.529 shift in azimuth (fractional pixel)= -.499787 Motion comp. coeff. calculated, time = 2093.640 Motion comp. added to patch, time = 2131.454 Doppler estimation done, time = 2131.454 Azimuth compression starting, time : 2131.526 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2340.008 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2349.081 seconds. Range compression done, time = 2403.010 shift in azimuth (fractional pixel)= -.499775 Motion comp. coeff. calculated, time = 2403.101 Motion comp. added to patch, time = 2440.953 Doppler estimation done, time = 2440.953 Azimuth compression starting, time : 2441.027 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2649.782 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2657.378 seconds. Range compression done, time = 2710.849 shift in azimuth (fractional pixel)= -.499774 Motion comp. coeff. calculated, time = 2710.870 Motion comp. added to patch, time = 2748.692 Doppler estimation done, time = 2748.692 Azimuth compression starting, time : 2748.776 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2957.455 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_c.hh Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 1878 -11 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1877 1878 2982 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2981 Processing block number 3 2982 3770 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3769 3770 4874 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4873 Processing block number 4 4874 5668 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5667 5668 6772 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6771 Processing block number 5 6772 7557 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7556 7557 8661 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8660 Processing block number 6 8661 9451 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9450 9451 10555 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10554 Processing block number 7 10555 11355 16 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11354 11355 12459 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12458 Processing block number 8 171 970 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13257 970 2074 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14361 Processing block number 9 2074 2868 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15155 2868 3972 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16259 Processing block number 10 3972 4152 5 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16439 4152 5256 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17543 Writing the last 1486 lines Total # of output lines = 19029 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/cm5271_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_hv Name of the mocomp data file? /data3/airops/cm5271_c.mocomph Output file name? /data3/airops/cm5271_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ch xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.316 Processing 10 blocks Processing block number 1 reference line: 2048 2.316 seconds. Range compression done, time = 58.027 shift in azimuth (fractional pixel)= -.499823 Motion comp. coeff. calculated, time = 58.048 Motion comp. added to patch, time = 97.303 Doppler estimation done, time = 97.303 Azimuth compression starting, time : 97.375 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 268.542 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 272.192 seconds. Range compression done, time = 325.486 shift in azimuth (fractional pixel)= -.499836 Motion comp. coeff. calculated, time = 325.506 Motion comp. added to patch, time = 363.541 Doppler estimation done, time = 363.541 Azimuth compression starting, time : 363.614 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 538.207 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 548.505 seconds. Range compression done, time = 601.220 shift in azimuth (fractional pixel)= -.499825 Motion comp. coeff. calculated, time = 601.240 Motion comp. added to patch, time = 639.224 Doppler estimation done, time = 639.224 Azimuth compression starting, time : 639.298 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 820.531 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 824.080 seconds. Range compression done, time = 877.729 shift in azimuth (fractional pixel)= -.499816 Motion comp. coeff. calculated, time = 877.749 Motion comp. added to patch, time = 915.581 Doppler estimation done, time = 915.581 Azimuth compression starting, time : 915.654 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1101.739 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1111.493 seconds. Range compression done, time = 1165.097 shift in azimuth (fractional pixel)= -.499818 Motion comp. coeff. calculated, time = 1165.117 Motion comp. added to patch, time = 1202.884 Doppler estimation done, time = 1202.884 Azimuth compression starting, time : 1202.956 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1395.837 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1399.344 seconds. Range compression done, time = 1453.605 shift in azimuth (fractional pixel)= -.499816 Motion comp. coeff. calculated, time = 1453.625 Motion comp. added to patch, time = 1491.455 Doppler estimation done, time = 1491.455 Azimuth compression starting, time : 1491.527 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1688.506 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1701.568 seconds. Range compression done, time = 1754.765 shift in azimuth (fractional pixel)= -.499798 Motion comp. coeff. calculated, time = 1754.785 Motion comp. added to patch, time = 1792.633 Doppler estimation done, time = 1792.633 Azimuth compression starting, time : 1792.705 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1989.642 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1992.734 seconds. Range compression done, time = 2046.775 shift in azimuth (fractional pixel)= -.499787 Motion comp. coeff. calculated, time = 2046.795 Motion comp. added to patch, time = 2084.636 Doppler estimation done, time = 2084.636 Azimuth compression starting, time : 2084.708 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2281.638 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2286.029 seconds. Range compression done, time = 2340.064 shift in azimuth (fractional pixel)= -.499775 Motion comp. coeff. calculated, time = 2340.084 Motion comp. added to patch, time = 2378.736 Doppler estimation done, time = 2378.737 Azimuth compression starting, time : 2378.810 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2578.949 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2587.069 seconds. Range compression done, time = 2640.473 shift in azimuth (fractional pixel)= -.499774 Motion comp. coeff. calculated, time = 2640.493 Motion comp. added to patch, time = 2678.360 Doppler estimation done, time = 2678.361 Azimuth compression starting, time : 2678.444 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2880.081 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_c.hv Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 1878 -11 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1877 1878 2982 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2981 Processing block number 3 2982 3770 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3769 3770 4874 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4873 Processing block number 4 4874 5668 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5667 5668 6772 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6771 Processing block number 5 6772 7557 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7556 7557 8661 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8660 Processing block number 6 8661 9451 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9450 9451 10555 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10554 Processing block number 7 10555 11355 16 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11354 11355 12459 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12458 Processing block number 8 171 970 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13257 970 2074 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14361 Processing block number 9 2074 2868 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15155 2868 3972 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16259 Processing block number 10 3972 4152 5 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16439 4152 5256 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17543 Writing the last 1486 lines Total # of output lines = 19029 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/cm5271_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_vh Name of the mocomp data file? /data3/airops/cm5271_c.mocompv Output file name? /data3/airops/cm5271_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.cv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.434 Processing 10 blocks Processing block number 1 reference line: 2048 2.434 seconds. Range compression done, time = 57.925 Motion comp. coeff. calculated, time = 57.945 Motion comp. added to patch, time = 97.617 Doppler estimation done, time = 97.618 Azimuth compression starting, time : 97.690 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 269.001 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 272.616 seconds. Range compression done, time = 325.785 Motion comp. coeff. calculated, time = 325.806 Motion comp. added to patch, time = 363.707 Doppler estimation done, time = 363.707 Azimuth compression starting, time : 363.780 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 539.883 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 550.109 seconds. Range compression done, time = 602.720 Motion comp. coeff. calculated, time = 602.740 Motion comp. added to patch, time = 640.609 Doppler estimation done, time = 640.609 Azimuth compression starting, time : 640.683 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 820.728 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 824.303 seconds. Range compression done, time = 877.730 Motion comp. coeff. calculated, time = 877.751 Motion comp. added to patch, time = 915.566 Doppler estimation done, time = 915.566 Azimuth compression starting, time : 915.639 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1103.397 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1113.160 seconds. Range compression done, time = 1166.445 Motion comp. coeff. calculated, time = 1166.465 Motion comp. added to patch, time = 1204.217 Doppler estimation done, time = 1204.218 Azimuth compression starting, time : 1204.289 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1397.440 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1400.976 seconds. Range compression done, time = 1454.558 Motion comp. coeff. calculated, time = 1454.578 Motion comp. added to patch, time = 1492.484 Doppler estimation done, time = 1492.484 Azimuth compression starting, time : 1492.556 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1689.758 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1702.917 seconds. Range compression done, time = 1755.706 Motion comp. coeff. calculated, time = 1755.726 Motion comp. added to patch, time = 1793.621 Doppler estimation done, time = 1793.621 Azimuth compression starting, time : 1793.693 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1990.773 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1993.970 seconds. Range compression done, time = 2047.711 Motion comp. coeff. calculated, time = 2047.732 Motion comp. added to patch, time = 2085.631 Doppler estimation done, time = 2085.631 Azimuth compression starting, time : 2085.703 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2283.109 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2288.886 seconds. Range compression done, time = 2342.531 Motion comp. coeff. calculated, time = 2342.551 Motion comp. added to patch, time = 2380.404 Doppler estimation done, time = 2380.404 Azimuth compression starting, time : 2380.478 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2580.466 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2588.032 seconds. Range compression done, time = 2641.197 Motion comp. coeff. calculated, time = 2641.217 Motion comp. added to patch, time = 2679.045 Doppler estimation done, time = 2679.045 Azimuth compression starting, time : 2679.128 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2880.636 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_c.vh Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 1878 -11 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1877 1878 2982 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2981 Processing block number 3 2982 3770 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3769 3770 4874 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4873 Processing block number 4 4874 5668 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5667 5668 6772 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6771 Processing block number 5 6772 7557 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7556 7557 8661 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8660 Processing block number 6 8661 9451 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9450 9451 10555 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10554 Processing block number 7 10555 11355 16 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11354 11355 12459 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12458 Processing block number 8 171 970 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13257 970 2074 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14361 Processing block number 9 2074 2868 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15155 2868 3972 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16259 Processing block number 10 3972 4152 5 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16439 4152 5256 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17543 Writing the last 1486 lines Total # of output lines = 19029 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/cm5271_c.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 2208 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.2 Radar wavelength (m) = 5.65800E-02 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .55 .7099999 .0 Receive leverarm x,y,z = .55 .7099999 .0 Name of raw data file? /data1/airops/c_vv Name of the mocomp data file? /data3/airops/cm5271_c.mocompv Output file name? /data3/airops/cm5271_c Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.cv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.333 Processing 10 blocks Processing block number 1 reference line: 2048 2.334 seconds. Range compression done, time = 58.168 Motion comp. coeff. calculated, time = 58.188 Motion comp. added to patch, time = 97.386 Doppler estimation done, time = 97.387 Azimuth compression starting, time : 97.469 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 268.287 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 271.878 seconds. Range compression done, time = 325.342 Motion comp. coeff. calculated, time = 325.362 Motion comp. added to patch, time = 363.253 Doppler estimation done, time = 363.253 Azimuth compression starting, time : 363.326 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 540.532 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 550.779 seconds. Range compression done, time = 603.714 Motion comp. coeff. calculated, time = 603.734 Motion comp. added to patch, time = 641.574 Doppler estimation done, time = 641.575 Azimuth compression starting, time : 641.648 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 825.888 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 829.482 seconds. Range compression done, time = 882.872 Motion comp. coeff. calculated, time = 882.892 Motion comp. added to patch, time = 921.152 Doppler estimation done, time = 921.152 Azimuth compression starting, time : 921.224 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1112.069 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1121.817 seconds. Range compression done, time = 1175.428 Motion comp. coeff. calculated, time = 1175.448 Motion comp. added to patch, time = 1213.199 Doppler estimation done, time = 1213.199 Azimuth compression starting, time : 1213.271 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1410.292 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1413.876 seconds. Range compression done, time = 1467.845 Motion comp. coeff. calculated, time = 1467.866 Motion comp. added to patch, time = 1505.703 Doppler estimation done, time = 1505.703 Azimuth compression starting, time : 1505.775 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1708.529 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1721.598 seconds. Range compression done, time = 1774.804 Motion comp. coeff. calculated, time = 1774.824 Motion comp. added to patch, time = 1812.640 Doppler estimation done, time = 1812.640 Azimuth compression starting, time : 1812.712 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2016.342 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2019.572 seconds. Range compression done, time = 2073.529 Motion comp. coeff. calculated, time = 2073.549 Motion comp. added to patch, time = 2111.384 Doppler estimation done, time = 2111.385 Azimuth compression starting, time : 2111.457 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2314.868 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2318.164 seconds. Range compression done, time = 2372.450 Motion comp. coeff. calculated, time = 2372.471 Motion comp. added to patch, time = 2410.319 Doppler estimation done, time = 2410.319 Azimuth compression starting, time : 2410.393 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2614.574 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2621.410 seconds. Range compression done, time = 2674.819 Motion comp. coeff. calculated, time = 2674.839 Motion comp. added to patch, time = 2712.667 Doppler estimation done, time = 2712.667 Azimuth compression starting, time : 2712.751 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2919.192 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_c.vv Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 1878 -11 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1877 1878 2982 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2981 Processing block number 3 2982 3770 4 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3769 3770 4874 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4873 Processing block number 4 4874 5668 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5667 5668 6772 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6771 Processing block number 5 6772 7557 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7556 7557 8661 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8660 Processing block number 6 8661 9451 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 9450 9451 10555 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10554 Processing block number 7 10555 11355 16 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11354 11355 12459 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12458 Processing block number 8 171 970 15 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13257 970 2074 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14361 Processing block number 9 2074 2868 10 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15155 2868 3972 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16259 Processing block number 10 3972 4152 5 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16439 4152 5256 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17543 Writing the last 1486 lines Total # of output lines = 19029 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: 1057 *************************************** ***** ***** ***** 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 94046 writing parheadC writing parhead 20.0 writing parhead 94.19999 writing parhead 93.59999 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9535359 73.44828 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 .004 .049 .041 .041 .235 .067 .003 .005 .000 .000 .007 .099 .110 .213 .074 .002 .068 .011 .001 .006 .223 .308 .207 .137 .023 .021 .027 .018 .003 .262 .764 .521 .404 .071 .012 .053 .054 .020 .154 .816 1.000 .744 .228 .000 .052 .034 .081 .119 .247 .452 .547 .467 .138 .003 .003 .059 .114 .076 .115 .204 .356 .217 .003 .011 .055 .090 .093 .141 .233 .269 .059 .005 .035 .209 .238 .163 .212 .284 .289 .001 .049 r_peak,r_snr = 9.75228E-02 11.2772 Correlation Surface of oversamples image at 146 3046 .025 .006 .109 .228 .239 .173 .100 .040 .007 .008 .024 .193 .387 .393 .267 .151 .067 .015 .001 .047 .292 .592 .614 .414 .240 .119 .037 .001 .048 .335 .760 .868 .635 .390 .213 .087 .000 .027 .274 .756 1.000 .840 .573 .347 .173 .000 .012 .159 .548 .862 .845 .659 .451 .271 .006 .011 .078 .295 .544 .626 .562 .448 .337 .023 .025 .051 .139 .264 .344 .357 .336 .322 .040 .053 .061 .089 .128 .162 .184 .204 .248 146 2.000 3046 1.500 11.27720 .267836 .052909 -.069411 Correlation Surface at 246 3046 .024 .001 .002 .003 .043 .081 .234 .241 .099 .060 .034 .001 .007 .072 .026 .058 .090 .046 .073 .047 .054 .133 .131 .006 .000 .001 .021 .039 .009 .253 .560 .485 .064 .004 .016 .064 .002 .001 .144 .658 1.000 .537 .137 .201 .160 r_peak,r_snr = .1267729 8.74658 Correlation Surface of oversamples image at 246 3046 .292 .367 .356 .265 .145 .081 .073 .080 .056 .419 .549 .553 .452 .282 .156 .118 .132 .116 .469 .670 .747 .707 .545 .352 .249 .247 .246 .433 .660 .815 .891 .833 .648 .471 .411 .399 .368 .569 .749 .917 1.000 .898 .682 .533 .475 .302 .455 .611 .801 .972 .965 .746 .514 .399 .234 .348 .463 .621 .801 .846 .650 .383 .241 .172 .259 .346 .462 .605 .661 .515 .275 .130 .123 .190 .266 .356 .454 .504 .422 .242 .102 246 -.344 3046 14.781 8.74658 .074169 .092749 -.063327 Correlation Surface at 346 3046 .006 .076 .053 .192 .869 .255 .020 .064 .006 .033 .081 .122 .055 .719 .294 .000 .002 .032 .087 .110 .077 .041 .555 .243 .001 .000 .050 .127 .129 .011 .187 .866 .383 .000 .013 .019 .120 .179 .002 .288 1.000 .465 .000 .052 .003 .117 .266 .009 .257 .671 .292 .003 .018 .028 .245 .303 .010 .256 .627 .284 .016 .000 .007 .469 .455 .021 .272 .876 .384 .005 .022 .011 .328 .575 .069 .261 .902 .259 .029 .160 .029 r_peak,r_snr = .1352855 10.87836 Correlation Surface of oversamples image at 346 3046 .427 .035 .378 2.146 4.000 3.879 2.005 .386 .004 .669 .218 .115 1.629 3.606 3.706 2.043 .470 .001 .814 .451 .003 1.006 2.845 3.131 1.778 .436 .006 .792 .506 .007 .645 2.209 2.590 1.478 .339 .001 .599 .310 .001 .696 2.143 2.488 1.394 .277 .002 346 .219 3046 -3.813 10.87837 .012496 .093608 .005837 Correlation Surface at 446 3046 .000 .150 .201 .111 .187 .213 .178 .266 .216 .006 .085 .204 .196 .428 .534 .307 .180 .095 .033 .047 .197 .414 .605 .795 .585 .325 .140 .073 .020 .136 .594 .870 .762 .676 .458 .287 .178 .064 .097 .539 1.000 .580 .402 .296 .298 .353 .301 .131 .381 .843 .606 .407 .345 .334 .472 .553 .136 .199 .768 .826 .697 .579 .467 .392 .498 .102 .069 .607 .915 .749 .544 .497 .251 .371 .135 .059 .323 .660 .676 .616 .579 r_peak,r_snr = .1407434 3.85146 Correlation Surface of oversamples image at 446 3046 .001 .014 .066 .116 .098 .057 .053 .097 .140 .018 .065 .202 .327 .297 .190 .141 .154 .154 .080 .173 .410 .644 .634 .446 .313 .260 .194 .186 .294 .564 .867 .927 .724 .516 .384 .251 .303 .396 .616 .887 1.000 .865 .653 .468 .291 .399 .497 .653 .818 .897 .833 .671 .479 .289 .453 .601 .735 .786 .758 .698 .589 .420 .248 .457 .674 .841 .814 .664 .550 .463 .326 .192 .421 .672 .888 .860 .638 .468 .377 .264 .157 446 .938 3046 7.875 3.85146 .024123 .225858 -.008512 Correlation Surface at 546 3046 .381 .030 .003 .000 .120 .206 .298 .014 .102 .176 .112 .020 .071 .302 .082 .039 .010 .298 .045 .022 .017 .486 .350 .020 .027 .072 .328 .093 .025 .006 .785 .599 .051 .139 .141 .309 .235 .009 .023 .638 1.000 .024 .130 .217 .428 r_peak,r_snr = 6.85720E-02 8.54601 Correlation Surface of oversamples image at 546 3046 .248 .183 .034 .010 .083 .102 .058 .018 .001 .152 .072 .002 .129 .253 .168 .039 .000 .008 .133 .026 .058 .367 .523 .290 .044 .002 .028 .181 .025 .113 .599 .812 .455 .079 .002 .040 .229 .044 .110 .695 1.000 .625 .159 .002 .029 .176 .047 .080 .618 .968 .706 .272 .032 .009 .049 .021 .052 .429 .743 .657 .369 .097 .000 .000 .003 .027 .229 .454 .498 .371 .131 .000 .018 .000 .011 .105 .241 .314 .273 .097 .001 546 .469 3046 13.688 8.54601 .078377 .614355 -.179805 Correlation Surface at 646 3046 .088 .095 .087 .211 .410 .632 .687 .588 .288 .280 .403 .356 .430 .431 .468 .434 .615 .301 .164 .227 .156 .537 .437 .205 .135 .199 .080 .162 .229 .109 .629 .600 .162 .088 .086 .003 .147 .277 .262 .896 1.000 .340 .239 .187 .004 .004 .065 .110 .523 .727 .280 .201 .077 .001 .287 .002 .014 .002 .044 .024 .031 .017 .102 .451 .050 .155 .342 .050 .000 .003 .104 .345 .128 .056 .063 .174 .003 .078 .094 .015 .211 r_peak,r_snr = 7.57971E-02 7.14168 Correlation Surface of oversamples image at 646 3046 .064 .180 .300 .274 .158 .066 .036 .047 .112 .065 .197 .394 .441 .301 .140 .067 .061 .100 .108 .278 .572 .743 .617 .353 .180 .118 .123 .159 .357 .711 .999 .940 .624 .351 .201 .148 .170 .347 .662 .978 1.000 .721 .433 .240 .139 .117 .218 .404 .643 .729 .563 .353 .191 .084 .041 .058 .114 .234 .339 .306 .205 .101 .023 .001 .001 .000 .018 .083 .121 .095 .036 .000 .016 .078 .093 .027 .002 .036 .044 .012 .004 646 7.750 3046 7.281 7.14168 .098639 .151927 -.026747 Correlation Surface at 846 3046 .035 .147 .113 .000 .104 .137 .014 .054 .039 .125 .073 .015 .053 .284 .122 .001 .018 .010 .031 .023 .006 .179 .887 .367 .008 .003 .039 .032 .026 .019 .261 .986 .577 .081 .000 .019 .010 .036 .075 .531 1.000 .408 .086 .002 .013 .087 .012 .010 .410 .942 .249 .033 .010 .008 .085 .078 .000 .113 .416 .142 .020 .086 .044 .021 .000 .021 .055 .174 .059 .003 .033 .029 .148 .073 .126 .087 .173 .058 .000 .000 .000 r_peak,r_snr = 8.84652E-02 9.33884 Correlation Surface of oversamples image at 846 3046 .142 .028 .050 .360 .597 .540 .351 .174 .060 .067 .007 .105 .524 .776 .634 .373 .182 .082 .007 .004 .190 .647 .852 .645 .354 .172 .092 .006 .054 .334 .802 .925 .639 .323 .151 .090 .018 .107 .451 .927 1.000 .644 .286 .117 .081 .008 .082 .393 .853 .968 .628 .245 .080 .069 .000 .027 .208 .576 .766 .532 .185 .045 .060 .000 .005 .071 .295 .503 .390 .125 .024 .057 .002 .003 .021 .131 .299 .265 .079 .011 .046 846 -.188 3046 1.125 9.33884 .786531 29.394140 4.685575 Correlation Surface at 946 3046 .017 .001 .065 .009 .144 .004 .003 .032 .073 .089 .036 .028 .026 .355 .071 .018 .037 .086 .072 .010 .047 .159 .614 .179 .101 .053 .069 .033 .090 .134 .175 .875 .362 .236 .092 .023 .020 .050 .155 .052 1.000 .533 .172 .092 .002 .017 .009 .048 .016 .824 .560 .070 .008 .017 .034 .009 .065 .000 .386 .393 .086 .004 .023 .095 .013 .181 .002 .279 .201 .050 .018 .003 .183 .002 .099 .015 .498 .102 .004 .017 .014 r_peak,r_snr = 9.75749E-02 13.31541 Correlation Surface of oversamples image at 946 3046 .032 .138 .625 .880 .639 .302 .163 .145 .117 .101 .040 .441 .783 .644 .330 .173 .140 .111 .141 .005 .324 .768 .731 .393 .170 .094 .064 .120 .000 .278 .825 .890 .493 .168 .046 .014 .089 .000 .237 .839 1.000 .577 .172 .020 .000 .096 .006 .164 .729 .963 .592 .180 .013 .008 .153 .025 .097 .567 .818 .542 .186 .019 .007 .245 .047 .066 .450 .646 .435 .162 .024 .002 .328 .052 .071 .407 .506 .298 .097 .011 .003 946 .344 3046 .000 13.31541 .021383 .531336 -.063233 Correlation Surface at 1046 3046 .061 .181 .044 .082 .328 .005 .142 .001 .382 .029 .108 .043 .061 .499 .183 .055 .042 .081 .000 .013 .010 .115 .462 .180 .010 .016 .041 .110 .022 .001 .267 .637 .058 .086 .038 .055 .293 .104 .001 .244 1.000 .111 .109 .096 .026 .113 .049 .025 .024 .546 .131 .012 .007 .020 .001 .000 .042 .030 .046 .027 .007 .007 .023 .005 .003 .001 .003 .001 .001 .027 .000 .027 .083 .006 .013 .073 .001 .007 .018 .001 .040 r_peak,r_snr = .1037867 13.39064 Correlation Surface of oversamples image at 1046 3046 .066 .062 .001 .087 .313 .413 .345 .189 .033 .018 .011 .018 .219 .470 .446 .250 .076 .000 .001 .000 .079 .420 .740 .594 .227 .017 .037 .001 .005 .120 .559 .996 .815 .282 .005 .104 .002 .001 .081 .485 1.000 .930 .357 .009 .115 .002 .008 .010 .232 .672 .774 .358 .018 .076 .039 .073 .024 .023 .240 .415 .244 .018 .040 .121 .191 .156 .037 .012 .108 .096 .006 .025 .178 .257 .271 .178 .037 .002 .017 .000 .020 1046 .656 3046 8.813 13.39065 .011173 .054645 -.007415 Correlation Surface at 1146 3046 .067 .139 .007 .377 .869 .206 .000 .000 .001 .009 .025 .054 .477 .689 .239 .021 .002 .022 .024 .001 .138 .564 .644 .118 .001 .025 .047 .061 .005 .084 .583 .935 .090 .005 .037 .019 .088 .000 .009 .352 1.000 .169 .001 .019 .000 .083 .000 .004 .192 .715 .206 .032 .000 .005 .041 .018 .006 .259 .615 .136 .042 .039 .011 .016 .058 .001 .332 .559 .053 .000 .010 .001 .001 .104 .000 .289 .360 .012 .079 .030 .005 r_peak,r_snr = .1212376 14.69078 Correlation Surface of oversamples image at 1146 3046 .160 .359 .601 .744 .647 .390 .163 .047 .006 .174 .353 .605 .783 .694 .395 .132 .020 .000 .133 .297 .576 .825 .777 .439 .129 .012 .003 .062 .202 .508 .856 .902 .551 .175 .023 .000 .014 .109 .402 .829 1.000 .692 .272 .065 .006 .001 .052 .292 .726 .979 .748 .355 .129 .039 .000 .035 .218 .589 .820 .635 .327 .156 .082 .005 .044 .195 .476 .610 .422 .199 .106 .084 .015 .077 .222 .418 .444 .241 .076 .033 .040 1146 -.063 3046 1.156 14.69078 .014542 .237283 -.033054 Correlation Surface at 1246 3046 .110 .017 .002 .150 .578 .357 .137 .030 .000 .056 .009 .001 .177 .778 .310 .060 .007 .016 .029 .005 .005 .178 .802 .348 .064 .002 .014 .039 .014 .029 .224 .891 .483 .132 .008 .007 .070 .000 .019 .297 1.000 .606 .210 .038 .002 .124 .033 .001 .283 .889 .548 .236 .076 .000 .185 .118 .013 .204 .688 .433 .243 .131 .013 .205 .122 .015 .186 .632 .415 .227 .134 .022 .209 .120 .003 .237 .610 .410 .200 .092 .009 r_peak,r_snr = .2076035 10.83723 Correlation Surface of oversamples image at 1246 3046 .026 .044 .185 .534 .805 .686 .380 .184 .108 .032 .055 .207 .572 .868 .772 .466 .255 .165 .028 .066 .247 .643 .944 .833 .520 .307 .214 .016 .070 .291 .717 .998 .852 .533 .330 .249 .002 .060 .312 .753 1.000 .822 .512 .333 .277 .006 .033 .280 .711 .928 .750 .470 .322 .295 .046 .007 .212 .615 .815 .659 .419 .301 .298 .094 .000 .162 .546 .741 .599 .382 .280 .284 .101 .000 .154 .538 .733 .590 .374 .267 .258 1246 .031 3046 1.250 10.83723 .006648 .154492 .000894 Correlation Surface at 1346 3046 .011 .107 .352 .676 .563 .153 .000 .038 .062 .016 .068 .366 .815 .665 .220 .009 .019 .051 .016 .040 .323 .856 .802 .292 .033 .013 .054 .009 .043 .323 .885 .999 .423 .042 .021 .082 .006 .066 .349 .841 1.000 .481 .041 .031 .093 .004 .070 .295 .677 .845 .413 .026 .037 .067 .005 .061 .196 .504 .797 .419 .013 .048 .044 .009 .060 .131 .375 .818 .561 .038 .038 .036 .010 .046 .113 .322 .696 .609 .115 .004 .024 r_peak,r_snr = .2451879 8.35125 Correlation Surface of oversamples image at 1346 3046 .011 .075 .369 .628 .634 .397 .118 .000 .061 .027 .054 .356 .675 .743 .507 .178 .008 .032 .038 .040 .337 .704 .855 .660 .279 .029 .018 .038 .034 .321 .723 .959 .831 .420 .072 .009 .033 .030 .294 .701 1.000 .947 .545 .125 .003 .029 .022 .239 .609 .926 .936 .584 .157 .000 .031 .012 .172 .482 .787 .841 .552 .159 .000 .041 .003 .113 .368 .658 .752 .516 .153 .000 .053 .000 .069 .280 .569 .711 .518 .161 .000 1346 -.281 3046 -2.438 8.35125 .012908 .204834 -.017229 Correlation Surface at 1446 3046 .001 .037 .162 .420 .594 .564 .349 .058 .006 .000 .008 .101 .331 .425 .376 .173 .011 .000 .000 .029 .187 .395 .474 .265 .065 .003 .001 .000 .073 .290 .577 .758 .353 .044 .004 .000 .004 .065 .257 .659 1.000 .490 .072 .025 .006 .021 .043 .223 .571 .892 .499 .165 .121 .055 .018 .037 .217 .599 .777 .502 .284 .169 .063 .019 .032 .200 .727 .912 .575 .338 .095 .017 .033 .015 .178 .721 .961 .604 .357 .098 .008 r_peak,r_snr = .2083522 8.29452 Correlation Surface of oversamples image at 1446 3046 .728 1.265 1.837 2.337 2.587 2.506 2.192 1.827 1.448 .636 1.225 1.954 2.635 2.980 2.841 2.430 2.042 1.678 .483 1.091 1.960 2.868 3.391 3.246 2.710 2.231 1.847 .360 .990 1.976 3.079 3.778 3.649 3.003 2.410 1.977 1446 -.313 3046 3.813 8.29452 .011532 .062696 -.004873 Correlation Surface at 1546 3046 .046 .097 .191 .578 .840 .468 .221 .131 .049 .091 .143 .196 .617 .926 .484 .215 .162 .077 .080 .144 .170 .534 .924 .501 .265 .214 .101 .041 .116 .160 .493 .911 .480 .244 .213 .107 .024 .121 .210 .566 1.000 .511 .192 .147 .094 .019 .125 .232 .584 .912 .446 .128 .085 .053 .028 .119 .207 .469 .673 .341 .090 .049 .024 .029 .111 .209 .403 .492 .294 .084 .029 .023 .025 .091 .193 .371 .406 .265 .082 .025 .031 r_peak,r_snr = .2648916 7.71678 Correlation Surface of oversamples image at 1546 3046 .067 .107 .256 .525 .739 .726 .561 .392 .267 .066 .104 .251 .528 .765 .759 .570 .377 .247 .077 .125 .289 .583 .830 .806 .571 .346 .213 .102 .169 .361 .678 .926 .866 .575 .313 .175 .140 .223 .436 .762 1.000 .908 .573 .280 .136 .178 .269 .479 .782 .992 .890 .546 .246 .104 .193 .281 .468 .723 .893 .797 .491 .214 .082 .174 .253 .409 .614 .744 .665 .422 .191 .071 .141 .211 .337 .500 .601 .540 .357 .176 .070 1546 .125 3046 6.188 7.71678 .006141 .131799 .006239 Correlation Surface at 1646 3046 .006 .004 .007 .174 .419 .098 .006 .003 .006 .000 .015 .001 .167 .380 .099 .005 .040 .078 .018 .077 .014 .171 .435 .105 .008 .106 .233 .016 .053 .001 .356 .646 .171 .006 .045 .167 .000 .021 .024 .633 1.000 .284 .002 .000 .030 .005 .023 .000 .394 .840 .158 .000 .009 .001 .010 .016 .009 .141 .486 .081 .013 .010 .000 .000 .044 .040 .056 .329 .112 .072 .093 .006 .013 .077 .141 .005 .315 .194 .092 .105 .028 r_peak,r_snr = .1667082 19.11852 Correlation Surface of oversamples image at 1646 3046 .017 .021 .178 .366 .404 .277 .115 .025 .005 .003 .057 .275 .502 .532 .359 .150 .034 .006 .002 .124 .420 .694 .711 .483 .206 .047 .006 .014 .193 .560 .883 .896 .617 .271 .061 .004 .014 .207 .613 .978 1.000 .690 .305 .066 .002 .004 .158 .545 .925 .963 .650 .276 .058 .001 .000 .094 .413 .770 .819 .529 .206 .043 .002 .001 .053 .294 .605 .663 .410 .147 .036 .010 .003 .033 .219 .488 .557 .344 .122 .041 .032 1646 -.219 3046 5.125 19.11853 .010420 .047751 .001124 Correlation Surface at 1746 3046 .288 .202 .036 .119 .044 .006 .127 .224 .003 .008 .000 .000 .004 .012 .304 .170 .010 .004 .093 .413 .869 .764 .399 .101 .020 .327 .549 .589 1.000 .355 .027 .080 .191 .182 .490 .273 .241 .003 .255 .217 .082 .021 .573 .094 .217 .386 .037 .004 .299 .071 .073 .226 .055 .008 r_peak,r_snr = 7.38282E-02 8.9647 Correlation Surface of oversamples image at 1746 3046 .037 .047 .017 .002 .015 .000 .044 .112 .172 .019 .006 .005 .075 .134 .053 .001 .046 .100 .004 .011 .116 .340 .463 .279 .047 .001 .014 .003 .093 .370 .748 .870 .569 .178 .029 .012 .024 .204 .590 .987 1.000 .626 .233 .078 .082 .033 .241 .608 .891 .777 .421 .150 .076 .130 .019 .187 .451 .599 .440 .179 .044 .034 .116 .002 .104 .268 .336 .206 .052 .003 .005 .068 .006 .035 .137 .188 .114 .024 .000 .000 .024 1746 10.750 3046 -3.000 8.96470 .067449 .061819 -.028159 Correlation Surface at 1846 3046 .000 .041 .027 .240 .215 .100 .015 .009 .000 .022 .000 .109 .232 .115 .022 .015 .112 .126 .036 .020 .076 .321 .292 .011 .003 .151 .414 .084 .063 .052 .337 .797 .124 .003 .006 .335 .100 .170 .135 .395 1.000 .266 .006 .081 .027 .094 .323 .173 .250 .825 .225 .000 .052 .018 .027 .083 .065 .047 .419 .132 .000 .003 .015 .017 .095 .004 .000 .122 .036 .005 .009 .001 .084 .279 .069 .002 .031 .004 .005 .001 .051 r_peak,r_snr = 9.58139E-02 10.525 Correlation Surface of oversamples image at 1846 3046 .015 .135 .349 .535 .497 .225 .032 .003 .017 .013 .114 .350 .668 .746 .421 .112 .026 .014 .034 .137 .380 .764 .916 .571 .187 .053 .014 .090 .202 .455 .849 .992 .635 .220 .060 .012 .164 .263 .505 .874 1.000 .655 .233 .058 .009 .192 .248 .447 .789 .962 .683 .266 .067 .011 .147 .159 .303 .617 .886 .732 .335 .098 .022 .061 .062 .147 .404 .723 .702 .363 .115 .028 .003 .009 .051 .222 .503 .550 .286 .077 .011 1846 -.125 3046 2.313 10.52501 .021753 .307097 -.022048 Correlation Surface at 1946 3046 .646 .610 .618 .647 .605 .537 .504 .512 .529 .639 .624 .587 .653 .653 .582 .549 .544 .565 .552 .591 .596 .762 .811 .694 .667 .648 .643 .577 .609 .664 .890 1.000 .858 .795 .724 .686 .635 .635 .648 .836 .996 .952 .855 .677 .631 .626 .611 .555 .655 .829 .928 .866 .615 .567 .606 .608 .559 .557 .667 .758 .774 .617 .585 .590 .647 .626 .559 .603 .630 .641 .606 .568 r_peak,r_snr = .3544976 1.81298 Correlation Surface of oversamples image at 1946 3046 .638 .699 .748 .769 .760 .707 .641 .610 .615 .687 .768 .836 .864 .849 .786 .704 .660 .662 .727 .817 .903 .945 .932 .869 .783 .726 .713 .740 .824 .921 .983 .986 .940 .867 .805 .764 .722 .791 .890 .971 1.000 .984 .937 .878 .806 .681 .735 .825 .916 .975 .995 .978 .922 .823 .643 .677 .746 .831 .911 .966 .976 .926 .812 .623 .629 .666 .730 .816 .893 .924 .891 .784 .624 .602 .600 .636 .712 .794 .837 .830 .753 1946 -4.063 3046 -11.156 1.81298 .035027 .054282 -.016735 Correlation Surface at 2046 3046 .033 .144 .425 .268 .040 .013 .070 .010 .008 .153 .134 .108 .196 .063 .003 .039 .084 .091 .148 .205 .115 .140 .051 .072 .345 .311 .365 .112 .157 .131 .314 .286 .063 .378 .031 .014 .025 .004 .010 .315 1.000 .007 .364 .046 .033 .029 .259 .278 .004 .515 .221 .091 .274 .389 .090 .187 .196 .006 .000 .000 .028 .382 .507 .070 .024 .054 .003 .031 .222 .030 .078 .303 .201 .096 .119 .036 .020 .004 .000 .000 .054 r_peak,r_snr = 6.77757E-02 10.9436 Correlation Surface of oversamples image at 2046 3046 .016 .047 .106 .118 .042 .003 .137 .403 .514 .019 .059 .148 .206 .117 .004 .089 .357 .426 .017 .074 .247 .428 .334 .067 .035 .291 .348 .001 .053 .319 .728 .715 .232 .005 .257 .362 .028 .006 .244 .815 1.000 .451 .007 .185 .367 .163 .020 .076 .520 .862 .552 .066 .058 .241 .310 .104 .000 .162 .448 .439 .146 .000 .072 .314 .150 .025 .012 .116 .189 .125 .022 .005 .195 .109 .034 .001 .007 .020 .023 .011 .000 2046 -5.125 3046 -9.969 10.94361 .023233 .062419 -.019639 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .018 .003 .225 .319 .104 .196 .189 .162 .087 .013 .009 .162 .536 .160 .125 .055 .023 .044 .192 .078 .096 .412 .213 .092 .111 .030 .093 .116 .030 .097 .366 .489 .304 .693 .376 .352 .034 .101 .002 .403 1.000 .753 .883 .631 .248 .181 .401 .258 .085 .825 .789 .496 .479 .052 .076 .249 .281 .005 .398 .311 .287 .427 .129 .029 .073 .004 .101 .393 .207 .234 .268 .284 .005 .024 .030 .318 .512 .550 .531 .124 .053 r_peak,r_snr = 8.20292E-02 9.58857 Correlation Surface of oversamples image at 146 3446 .206 .349 .313 .181 .130 .189 .349 .540 .596 .190 .372 .418 .328 .263 .299 .455 .670 .729 .113 .355 .553 .586 .523 .470 .515 .663 .714 .014 .243 .619 .848 .829 .649 .529 .579 .634 .015 .110 .564 .961 1.000 .745 .522 .523 .612 .056 .046 .465 .906 .956 .715 .499 .513 .668 .033 .037 .384 .755 .794 .610 .451 .493 .707 .000 .064 .338 .603 .640 .528 .412 .438 .625 .034 .138 .360 .547 .595 .547 .450 .419 .497 146 -.688 3446 -3.938 9.58857 .109465 .162498 -.082581 Correlation Surface at 246 3446 .409 .649 .499 .220 .090 .014 .001 .010 .023 .189 .652 .532 .221 .071 .002 .005 .019 .003 .042 .177 .268 .422 .311 .065 .001 .017 .004 .030 .087 .185 .743 .892 .146 .014 .018 .087 .003 .089 .187 .554 1.000 .150 .003 .070 .268 .085 .002 .016 .017 .200 .086 .000 .091 .254 .020 .009 .004 .016 .000 .016 .054 .104 .100 r_peak,r_snr = 9.11395E-02 5.88397 Correlation Surface of oversamples image at 246 3446 .379 .282 .277 .270 .250 .261 .268 .189 .060 .317 .309 .427 .507 .465 .430 .420 .300 .100 .255 .315 .561 .787 .737 .576 .457 .297 .106 .240 .324 .628 .982 .964 .650 .356 .158 .048 .255 .315 .571 .942 1.000 .637 .230 .038 .001 .227 .237 .378 .661 .810 .552 .162 .004 .010 .124 .104 .143 .300 .489 .421 .147 .004 .012 .031 .017 .016 .067 .199 .267 .153 .026 .000 .000 .000 .001 .003 .051 .128 .140 .084 .038 246 7.750 3446 11.250 5.88397 .024969 .045851 -.012969 Correlation Surface at 346 3446 .134 .192 .002 .437 .708 .100 .001 .013 .137 .063 .143 .036 .080 .335 .034 .055 .019 .059 .047 .018 .000 .100 .281 .073 .059 .037 .005 .041 .006 .077 .421 .642 .180 .043 .094 .050 .001 .015 .024 .432 1.000 .416 .008 .182 .252 .002 .027 .001 .175 .759 .787 .042 .193 .379 .001 .046 .001 .094 .373 .598 .086 .092 .220 .040 .007 .002 .008 .112 .205 .037 .006 .092 .065 .009 .002 .003 .014 .023 .000 .006 .120 r_peak,r_snr = .1063198 9.79161 Correlation Surface of oversamples image at 346 3446 .019 .007 .097 .223 .263 .165 .024 .021 .102 .003 .088 .283 .442 .426 .259 .066 .002 .057 .032 .216 .532 .750 .679 .406 .132 .004 .022 .047 .287 .682 .979 .925 .590 .231 .027 .004 .039 .253 .623 .952 1.000 .735 .357 .078 .000 .023 .175 .435 .713 .860 .760 .467 .150 .006 .010 .112 .276 .460 .627 .663 .504 .213 .016 .002 .072 .185 .298 .426 .512 .458 .235 .026 .000 .038 .122 .200 .288 .371 .363 .210 .031 346 -.250 3446 5.781 9.79161 .036851 .127657 -.042555 Correlation Surface at 446 3446 .129 .317 .170 .225 .088 .025 .144 .243 .176 .067 .047 .001 .022 .014 .039 .223 .221 .148 .007 .011 .031 .073 .092 .087 .424 .267 .081 .000 .037 .007 .310 .638 .263 .436 .450 .106 .020 .008 .004 .520 1.000 .446 .314 .509 .224 .073 .019 .046 .473 .461 .210 .190 .327 .204 .033 .022 .129 .313 .058 .002 .029 .155 .075 .002 .021 .148 .389 .037 .000 .000 .033 .023 .010 .055 .084 .530 .081 .002 .011 .039 .031 r_peak,r_snr = .1008066 11.31595 Correlation Surface of oversamples image at 446 3446 .002 .045 .202 .334 .328 .225 .176 .007 .057 .263 .511 .528 .309 .167 .047 .102 .317 .664 .798 .507 .233 .185 .221 .385 .720 .979 .758 .390 .443 .448 .505 .719 1.000 .932 .594 .654 .668 .634 .709 .919 .951 .715 .567 .632 .633 .673 .820 .859 .693 .255 .335 .424 .543 .701 .728 .582 .036 .073 .160 .315 .514 .568 .448 446 3.688 3446 -7.531 11.31596 .033771 .044691 .005731 Correlation Surface at 546 3446 .131 .182 .097 .013 .000 .004 .079 .148 .089 .027 .024 .013 .162 .281 .241 .090 .009 .022 .392 .683 .423 .038 .016 .009 .346 1.000 .776 .042 .038 .012 .247 .794 .694 .192 .015 .088 .126 .535 .351 .151 .095 .182 .094 .349 .264 .114 .085 .283 .211 .301 .216 .267 .315 .626 r_peak,r_snr = 9.04694E-02 6.77274 Correlation Surface of oversamples image at 546 3446 .139 .190 .269 .313 .331 .362 .361 .255 .137 .191 .321 .459 .504 .487 .432 .331 .170 .053 .249 .455 .661 .747 .724 .548 .291 .075 .001 .314 .544 .773 .919 .950 .703 .293 .028 .017 .366 .578 .769 .919 1.000 .787 .325 .022 .035 .373 .568 .717 .793 .833 .698 .335 .040 .012 .298 .496 .645 .641 .585 .491 .278 .062 .000 .161 .344 .530 .513 .403 .315 .199 .062 .008 .060 .190 .389 .424 .331 .243 .154 .052 .013 546 -13.563 3446 -.156 6.77274 .060815 .190178 -.040563 Correlation Surface at 646 3446 .150 .053 .109 .351 .525 .208 .069 .030 .006 .121 .109 .032 .282 .418 .159 .029 .032 .001 .031 .085 .000 .288 .571 .190 .026 .014 .015 .034 .036 .003 .290 .946 .340 .052 .004 .011 .117 .080 .004 .231 1.000 .412 .019 .001 .001 .126 .094 .001 .166 .667 .327 .000 .013 .000 .057 .038 .070 .217 .276 .138 .011 .011 .009 .053 .014 .261 .464 .195 .038 .048 .003 .055 .024 .001 .350 .645 .372 .041 .049 .018 .042 r_peak,r_snr = .1180599 10.49136 Correlation Surface of oversamples image at 646 3446 .026 .158 .363 .517 .502 .341 .153 .047 .017 .012 .129 .368 .570 .541 .341 .147 .045 .014 .001 .089 .366 .679 .679 .420 .190 .075 .031 .001 .055 .348 .783 .869 .560 .269 .127 .064 .007 .027 .299 .808 1.000 .691 .338 .160 .083 .019 .008 .223 .730 .999 .738 .359 .147 .060 .028 .002 .158 .600 .893 .705 .345 .115 .027 .022 .002 .124 .469 .736 .624 .318 .093 .010 .006 .012 .117 .355 .559 .509 .277 .078 .004 646 -.063 3446 .219 10.49136 .013291 .172339 -.007152 Correlation Surface at 746 3446 .422 .950 .395 .052 .755 .098 .027 .006 .061 .184 .540 .257 .071 .996 .050 .217 .031 .041 .032 .052 .010 .078 .729 .032 .096 .010 .053 .045 .019 .028 .249 .786 .085 .001 .025 .039 .117 .077 .005 .423 1.000 .231 .036 .048 .001 .151 .290 .081 .139 .680 .307 .105 .070 .009 .231 .736 .391 .003 .350 .323 .162 .078 .003 .196 .593 .316 .000 .157 .165 .047 .016 .001 .064 .143 .067 .001 .016 .005 .002 .007 .072 r_peak,r_snr = 8.61643E-02 8.11158 Correlation Surface of oversamples image at 746 3446 .552 .114 .041 .527 .985 .766 .223 .008 .004 .539 .111 .043 .541 1.000 .728 .151 .006 .086 .406 .083 .042 .466 .821 .526 .056 .060 .227 .245 .052 .039 .367 .588 .306 .006 .133 .308 .121 .023 .047 .333 .472 .204 .000 .143 .265 .052 .003 .082 .391 .513 .223 .003 .076 .141 746 .094 3446 -.781 8.11158 .028051 .198502 -.028564 Correlation Surface at 846 3446 .103 .028 .001 .008 .050 .069 .074 .002 .029 .110 .000 .071 .007 .002 .045 .157 .043 .047 .033 .007 .126 .007 .078 .005 .111 .035 .000 .019 .036 .095 .177 .558 .056 .003 .008 .000 .076 .001 .007 .350 1.000 .225 .000 .018 .015 .087 .053 .055 .261 .603 .147 .005 .070 .013 .000 .056 .165 .144 .101 .003 .027 .109 .030 .069 .019 .055 .008 .001 .010 .025 .090 .043 .000 .106 .018 .023 .006 .006 .029 .001 .025 r_peak,r_snr = 9.17317E-02 13.54077 Correlation Surface of oversamples image at 846 3446 .086 .023 .007 .046 .026 .000 .038 .127 .219 .095 .007 .077 .238 .146 .011 .019 .077 .139 .072 .000 .219 .575 .435 .101 .000 .020 .062 .029 .015 .353 .870 .791 .309 .043 .000 .031 .000 .059 .426 .961 1.000 .530 .136 .005 .026 .054 .151 .451 .853 .943 .601 .201 .014 .031 .200 .262 .429 .636 .676 .457 .163 .010 .039 .312 .310 .349 .396 .352 .210 .061 .000 .048 .283 .254 .220 .181 .109 .037 .002 .010 .060 846 -.219 3446 .031 13.54077 .018901 .062904 -.001332 Correlation Surface at 946 3446 .158 .156 .067 .027 .464 .333 .000 .072 .002 .157 .097 .024 .062 .684 .623 .061 .030 .004 .182 .040 .003 .073 .714 .697 .142 .000 .002 .131 .036 .005 .128 .901 .623 .040 .006 .000 .051 .033 .006 .197 1.000 .591 .002 .029 .000 .026 .014 .000 .205 .561 .262 .001 .017 .007 .027 .005 .002 .167 .236 .028 .043 .084 .001 .004 .001 .001 .084 .195 .009 .095 .264 .052 .004 .001 .005 .045 .186 .026 .054 .192 .061 r_peak,r_snr = .1433941 15.88923 Correlation Surface of oversamples image at 946 3446 .104 .014 .038 .327 .740 .908 .752 .447 .160 .099 .018 .031 .326 .780 .957 .766 .452 .178 .097 .019 .035 .361 .838 .962 .681 .341 .113 .084 .011 .056 .441 .938 .976 .587 .215 .036 .061 .002 .088 .512 1.000 .987 .534 .140 .004 .035 .000 .117 .509 .930 .922 .502 .118 .000 .011 .008 .134 .427 .707 .711 .415 .108 .000 .001 .022 .140 .329 .453 .424 .255 .072 .001 .000 .033 .144 .271 .290 .213 .110 .026 .000 946 .250 3446 -.500 15.88924 .012116 .062253 .009603 Correlation Surface at 1046 3446 .038 .000 .000 .050 .182 .231 .000 .341 .284 .014 .026 .016 .000 .150 .367 .021 .333 .256 .060 .014 .008 .018 .213 .240 .010 .380 .182 .177 .001 .108 .245 .649 .346 .056 .271 .085 .114 .003 .130 .393 1.000 .835 .410 .015 .035 .041 .000 .094 .299 .632 .673 .568 .032 .038 .000 .014 .087 .127 .152 .128 .245 .097 .016 .003 .051 .137 .198 .256 .053 .102 .103 .001 .004 .000 .102 .409 .635 .138 .063 .067 .008 r_peak,r_snr = 9.00213E-02 10.11333 Correlation Surface of oversamples image at 1046 3446 .019 .017 .033 .091 .155 .149 .072 .003 .061 .080 .131 .211 .316 .337 .231 .088 .003 .057 .108 .238 .437 .621 .592 .378 .164 .029 .017 .097 .271 .571 .865 .854 .581 .314 .118 .002 .081 .269 .608 .958 1.000 .746 .470 .240 .034 .069 .260 .576 .878 .917 .723 .492 .280 .059 .048 .222 .470 .663 .654 .513 .355 .207 .052 .018 .144 .326 .437 .403 .299 .200 .116 .038 .002 .067 .207 .306 .286 .201 .121 .069 .034 1046 -.188 3446 -.938 10.11333 .072164 .093101 -.015958 Correlation Surface at 1146 3446 .000 .026 .191 .104 .253 .030 .743 .509 .118 .000 .000 .055 .003 .093 .002 .211 .264 .013 .000 .000 .009 .013 .140 .024 .003 .111 .003 .008 .038 .081 .247 .566 .063 .001 .121 .104 .062 .141 .315 .902 1.000 .092 .008 .017 .106 .114 .143 .274 .809 .706 .034 .022 .002 .014 .121 .010 .017 .250 .203 .009 .074 .016 .002 .110 .012 .025 .068 .046 .012 .116 .025 .002 .003 .022 .056 .025 .070 .029 .041 .001 .000 r_peak,r_snr = 7.97827E-02 10.54929 Correlation Surface of oversamples image at 1146 3446 .008 .012 .008 .004 .016 .063 .068 .010 .006 .038 .062 .078 .084 .128 .223 .203 .056 .000 .064 .128 .234 .331 .415 .489 .371 .114 .002 .083 .180 .396 .649 .796 .773 .483 .129 .004 .101 .207 .454 .787 1.000 .915 .490 .098 .001 .096 .175 .346 .613 .844 .803 .397 .057 .000 .057 .092 .168 .319 .506 .544 .278 .037 .000 .018 .020 .041 .111 .236 .306 .180 .035 .005 .000 .002 .001 .011 .079 .147 .105 .029 .011 1146 -.844 3446 5.563 10.54930 .042427 .124536 .028306 Correlation Surface at 1246 3446 .344 .382 .460 .622 .847 .757 .577 .515 .477 .305 .367 .488 .655 .840 .770 .596 .513 .448 .287 .334 .458 .659 .866 .806 .587 .484 .435 .312 .362 .447 .664 .938 .881 .605 .478 .429 .368 .395 .447 .665 1.000 .932 .619 .451 .395 .401 .414 .452 .642 .959 .895 .570 .389 .346 .408 .433 .499 .638 .852 .793 .515 .358 .322 .436 .469 .550 .676 .815 .724 .520 .396 .356 .471 .508 .587 .720 .844 .723 .555 .436 .397 r_peak,r_snr = .4705764 2.32446 Correlation Surface of oversamples image at 1246 3446 .510 .616 .725 .803 .814 .751 .650 .563 .517 .500 .618 .751 .851 .870 .800 .681 .577 .516 .494 .622 .777 .901 .928 .850 .717 .596 .520 .492 .628 .803 .946 .977 .889 .743 .607 .515 .485 .628 .815 .969 1.000 .902 .745 .598 .489 .471 .612 .798 .955 .987 .887 .724 .568 .450 .462 .588 .760 .908 .943 .851 .691 .534 .413 .467 .573 .718 .847 .884 .805 .658 .508 .390 .488 .574 .688 .790 .819 .753 .626 .492 .385 1246 .344 3446 .094 2.32446 .005783 .067290 -.001914 Correlation Surface at 1346 3446 .162 .306 .497 .748 .973 .853 .511 .223 .078 .165 .286 .504 .741 .916 .800 .482 .200 .058 .180 .244 .440 .751 .933 .783 .485 .200 .055 .175 .217 .379 .755 .986 .739 .469 .214 .069 .187 .233 .353 .708 1.000 .713 .408 .206 .082 .204 .270 .388 .654 .939 .736 .402 .216 .089 .166 .249 .398 .594 .799 .693 .409 .236 .107 .146 .218 .370 .578 .730 .665 .423 .231 .104 .175 .216 .352 .596 .728 .663 .472 .222 .070 r_peak,r_snr = .4071343 4.79124 Correlation Surface of oversamples image at 1346 3446 1.525 2.091 2.867 3.612 4.000 3.819 3.176 2.379 1.617 1.673 2.174 2.822 3.421 3.696 3.481 2.890 2.182 1.505 1.744 2.229 2.793 3.264 3.421 3.184 2.667 2.047 1.434 1.668 2.199 2.767 3.187 3.267 3.015 2.563 2.016 1.438 1.501 2.108 2.757 3.215 3.272 2.990 2.560 2.056 1.500 1346 .094 3446 -3.813 4.79124 .005445 .209027 -.010837 Correlation Surface at 1546 3446 .002 .006 .040 .294 .580 .320 .103 .011 .118 .008 .000 .003 .209 .614 .343 .175 .011 .038 .084 .027 .000 .182 .577 .332 .104 .010 .003 .126 .030 .003 .256 .731 .338 .001 .073 .040 .097 .008 .030 .358 1.000 .453 .001 .218 .158 .099 .007 .066 .402 .895 .444 .006 .159 .218 .114 .022 .074 .419 .605 .233 .006 .106 .243 .071 .020 .090 .457 .574 .189 .006 .092 .183 .063 .053 .035 .409 .643 .220 .016 .048 .092 r_peak,r_snr = .1710541 11.98585 Correlation Surface of oversamples image at 1546 3446 .010 .001 .059 .232 .389 .386 .273 .173 .105 .001 .012 .113 .335 .495 .430 .232 .079 .012 .005 .049 .211 .508 .690 .555 .255 .045 .002 .032 .109 .319 .678 .892 .713 .326 .053 .007 .079 .181 .404 .770 1.000 .822 .406 .087 .001 .134 .260 .471 .789 .988 .832 .442 .120 .001 .171 .327 .526 .765 .887 .737 .402 .119 .005 .172 .355 .557 .728 .759 .594 .312 .088 .003 .151 .345 .557 .698 .667 .477 .234 .059 .000 1546 .063 3446 -5.781 11.98586 .008682 .084658 .001550 Correlation Surface at 1646 3446 .000 .039 .154 .365 .760 .446 .010 .001 .009 .000 .015 .145 .384 .887 .697 .080 .000 .001 .006 .006 .122 .419 .918 .693 .087 .002 .007 .017 .021 .102 .423 .959 .640 .066 .012 .067 .010 .007 .046 .359 1.000 .597 .058 .000 .077 .001 .001 .021 .362 .981 .492 .055 .006 .012 .001 .000 .059 .376 .768 .370 .076 .026 .004 .000 .009 .128 .316 .514 .307 .098 .031 .014 .000 .003 .065 .193 .414 .305 .081 .003 .004 r_peak,r_snr = .1884571 11.82974 Correlation Surface of oversamples image at 1646 3446 .175 .294 .487 .653 .611 .370 .130 .013 .008 .167 .290 .512 .710 .665 .394 .137 .018 .002 .143 .278 .549 .818 .798 .487 .180 .034 .000 .119 .273 .592 .926 .940 .597 .234 .055 .006 .109 .284 .624 .974 1.000 .652 .268 .072 .014 .117 .311 .636 .932 .930 .607 .261 .079 .021 .145 .343 .621 .829 .777 .495 .225 .082 .028 .187 .358 .569 .697 .610 .376 .183 .083 .037 .213 .340 .490 .569 .474 .284 .148 .081 .043 1646 .281 3446 2.469 11.82975 .010209 2.580282 .053839 Correlation Surface at 1746 3446 .078 .024 .050 .014 .009 .041 .080 .028 .008 .012 .013 .001 .023 .009 .026 .048 .004 .000 .133 .063 .039 .015 .008 .088 .017 .003 .175 .034 .294 .244 .028 .016 .008 .016 .003 .164 1.000 .594 .010 .036 .014 .058 .099 .377 .963 .484 .006 .162 .053 .000 .015 .038 .178 .160 .062 .033 r_peak,r_snr = 8.04434E-02 9.99289 Correlation Surface of oversamples image at 1746 3446 .353 .712 .523 .045 .132 .467 .523 .358 .183 .226 .533 .380 .014 .202 .579 .630 .460 .234 .043 .162 .069 .040 .442 .762 .687 .468 .195 .018 .000 .022 .324 .831 .964 .700 .408 .118 .160 .057 .138 .553 1.000 .955 .621 .358 .094 .190 .053 .075 .329 .636 .596 .412 .307 .135 .043 .000 .003 .020 .137 .185 .187 .251 .239 .020 .072 .153 .101 .009 .008 .060 .209 .375 .172 .186 .344 .421 .227 .031 .012 .170 .445 1746 11.250 3446 12.344 9.99289 .036143 .093919 .024823 Correlation Surface at 1846 3446 .007 .001 .049 .372 .456 .267 .075 .044 .010 .007 .009 .030 .333 .597 .313 .042 .003 .001 .011 .004 .020 .254 .658 .320 .038 .000 .008 .022 .000 .045 .354 .837 .431 .094 .005 .001 .041 .004 .076 .451 1.000 .614 .167 .013 .002 .021 .003 .054 .388 .808 .622 .201 .022 .005 .012 .003 .030 .369 .683 .588 .184 .007 .006 .056 .010 .032 .379 .712 .567 .159 .000 .006 .104 .008 .065 .370 .553 .413 .139 .003 .000 r_peak,r_snr = .1876329 9.36611 Correlation Surface of oversamples image at 1846 3446 .037 .146 .410 .712 .790 .605 .333 .132 .039 .042 .152 .405 .708 .810 .643 .366 .150 .045 .048 .178 .443 .755 .877 .720 .434 .195 .066 .044 .194 .486 .820 .967 .821 .528 .268 .109 .025 .169 .474 .827 1.000 .880 .602 .346 .170 .007 .117 .399 .743 .931 .854 .623 .401 .235 .000 .074 .314 .625 .813 .785 .612 .427 .277 .000 .055 .265 .545 .727 .739 .612 .441 .285 .000 .060 .266 .532 .706 .743 .643 .461 .272 1846 .031 3446 -1.063 9.36611 .011872 .078277 -.004796 Correlation Surface at 1946 3446 .317 .419 .474 .577 .660 .779 .804 .599 .630 .335 .495 .574 .682 .750 .703 .683 .613 .603 .359 .448 .517 .675 .855 .831 .740 .695 .625 .402 .406 .498 .778 .946 .994 .942 .791 .678 .437 .415 .523 .873 1.000 1.000 .952 .741 .661 .419 .415 .483 .744 .891 .926 .922 .694 .643 .368 .406 .452 .564 .659 .757 .815 .663 .580 .379 .445 .527 .538 .578 .639 .680 .600 .529 .339 .427 .551 .582 .598 .646 .656 .622 .573 r_peak,r_snr = .2730407 2.12975 Correlation Surface of oversamples image at 1946 3446 .595 .724 .805 .821 .801 .774 .745 .716 .674 .710 .828 .875 .871 .857 .834 .785 .718 .652 .803 .919 .945 .928 .914 .885 .810 .712 .629 .833 .948 .977 .974 .971 .943 .853 .733 .637 .792 .898 .943 .977 1.000 .988 .908 .783 .676 .713 .800 .859 .924 .977 .988 .938 .830 .714 .645 .705 .762 .838 .903 .932 .914 .837 .724 .605 .637 .680 .746 .800 .826 .827 .788 .694 .587 .592 .615 .663 .696 .704 .702 .692 .637 1946 -1.094 3446 1.875 2.12975 .220198 .140356 .017146 Correlation Surface at 2046 3446 .195 .190 .192 .246 .023 .008 .455 1.000 .739 .369 .005 .003 .009 .138 .139 .019 .036 .002 .120 .013 .004 .001 .010 .020 .047 .089 .031 .090 .017 .000 .013 .009 .004 .097 .007 .146 r_peak,r_snr = 6.46808E-02 8.83394 Correlation Surface of oversamples image at 2046 3446 .004 .487 1.252 1.292 .700 .161 .003 .154 .250 .013 .169 .586 .625 .342 .071 .015 .159 .140 .105 .004 .012 .012 .001 .007 .096 .226 .111 .203 .247 .292 .375 .385 .310 .339 .371 .152 .149 .395 .661 .922 1.000 .812 .644 .495 .201 .016 .126 .291 .524 .789 .849 .715 .489 .198 .047 .034 .010 .011 .163 .391 .452 .321 .119 .193 .407 .438 .207 .009 .053 .141 .119 .040 .238 .614 .716 .415 .094 .000 .014 .019 .010 2046 -13.563 3446 -12.375 8.83394 .140235 .026114 -.018418 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .018 .125 .104 .182 .498 .128 .086 .066 .046 .007 .000 .084 .043 .327 .123 .118 .136 .001 .018 .002 .010 .093 .365 .154 .122 .044 .003 .306 .039 .001 .381 .870 .504 .126 .001 .028 .308 .147 .022 .267 1.000 .391 .014 .003 .033 .016 .113 .269 .009 .420 .133 .004 .009 .055 .042 .001 .199 .067 .159 .122 .001 .021 .155 .005 .071 .000 .040 .386 .327 .059 .013 .123 .009 .053 .061 .253 .657 .600 .132 .001 .004 r_peak,r_snr = 8.43654E-02 8.44475 Correlation Surface of oversamples image at 146 3846 .005 .017 .184 .463 .568 .454 .328 .275 .229 .001 .030 .197 .455 .575 .472 .318 .208 .128 .000 .077 .309 .600 .737 .597 .348 .154 .047 .003 .143 .467 .811 .933 .701 .324 .078 .002 .001 .156 .545 .941 1.000 .633 .197 .010 .017 .008 .079 .443 .866 .866 .422 .060 .009 .075 .096 .003 .229 .623 .632 .226 .004 .053 .116 .286 .038 .056 .347 .413 .120 .002 .082 .115 .439 .138 .001 .151 .253 .077 .005 .080 .103 146 .313 3846 3.531 8.44475 .027795 .099864 -.015043 Correlation Surface at 246 3846 .021 .017 .022 .114 .200 .272 .072 .006 .001 .006 .000 .085 .219 .206 .231 .059 .004 .001 .058 .015 .187 .387 .399 .388 .092 .020 .028 .000 .001 .162 .640 .857 .886 .291 .107 .092 .025 .000 .103 .715 1.000 .978 .432 .064 .034 .001 .009 .029 .370 .547 .468 .322 .086 .005 .001 .015 .018 .149 .241 .237 .260 .182 .006 .004 .003 .129 .285 .283 .314 .252 .175 .004 .011 .008 .138 .526 .433 .389 .274 .224 .011 r_peak,r_snr = .1160007 9.10205 Correlation Surface of oversamples image at 246 3846 .263 .259 .209 .184 .203 .211 .147 .057 .014 .335 .385 .365 .361 .396 .401 .296 .142 .053 .375 .507 .567 .629 .696 .697 .541 .296 .126 .362 .553 .701 .851 .954 .940 .760 .459 .203 .292 .477 .661 .866 1.000 .970 .809 .545 .261 .192 .319 .472 .658 .796 .782 .676 .517 .296 .095 .162 .255 .372 .473 .494 .459 .402 .285 .037 .065 .111 .166 .219 .257 .276 .275 .233 .023 .034 .056 .078 .101 .134 .170 .184 .166 246 1.656 3846 -8.156 9.10205 .283594 .075935 .020319 Correlation Surface at 346 3846 .026 .076 .017 .089 .191 .002 .144 .158 .063 .000 .037 .005 .040 .132 .025 .100 .117 .012 .000 .006 .001 .057 .197 .018 .147 .094 .005 .034 .016 .005 .155 .552 .116 .121 .208 .011 .086 .017 .000 .198 1.000 .486 .000 .151 .179 .077 .000 .012 .147 .959 .495 .025 .038 .141 .004 .026 .063 .041 .391 .136 .031 .002 .007 .043 .047 .060 .028 .073 .001 .018 .014 .015 .009 .003 .001 .148 .085 .045 .007 .001 .001 r_peak,r_snr = .1001452 11.14488 Correlation Surface of oversamples image at 346 3846 .016 .032 .212 .275 .122 .002 .066 .203 .225 .002 .067 .328 .487 .315 .052 .029 .225 .342 .000 .102 .436 .717 .615 .241 .004 .110 .310 .005 .133 .523 .899 .890 .508 .098 .015 .185 .016 .172 .586 .986 1.000 .658 .213 .001 .093 .025 .189 .574 .926 .894 .590 .230 .010 .051 .018 .160 .461 .710 .625 .372 .158 .014 .028 .006 .115 .319 .437 .309 .132 .054 .009 .010 .000 .078 .210 .219 .082 .005 .000 .000 .003 346 .250 3846 -.469 11.14488 .021354 .155378 -.021559 Correlation Surface at 446 3846 .004 .014 .004 .010 .002 .015 .034 .000 .066 .007 .062 .120 .008 .059 .059 .480 .195 .019 .133 .028 .046 .177 .795 .904 .043 .046 .010 .012 .035 .332 1.000 .263 .008 .000 .003 .014 .050 .424 .251 .005 .000 .019 .014 .076 .341 .173 .044 .003 .060 r_peak,r_snr = .1143936 12.63132 Correlation Surface of oversamples image at 446 3846 .025 .132 .252 .239 .125 .023 .001 .010 .008 .014 .142 .383 .475 .296 .066 .000 .010 .004 .000 .081 .402 .723 .607 .192 .003 .014 .008 .018 .013 .276 .789 .915 .421 .033 .012 .018 .071 .004 .111 .619 1.000 .658 .127 .000 .019 .112 .031 .024 .369 .835 .744 .266 .016 .006 .102 .031 .005 .196 .573 .643 .346 .071 .001 .044 .003 .016 .150 .400 .482 .328 .126 .021 .001 .021 .092 .226 .392 .414 .291 .154 .060 446 -13.031 3846 11.875 12.63133 .021984 .081265 -.027812 Correlation Surface at 546 3846 .010 .000 .081 .327 .406 .042 .017 .040 .062 .101 .011 .106 .482 1.000 .313 .025 .028 .152 .221 .055 .013 .211 .680 .333 .028 .023 .096 .130 .076 .004 .157 .226 .037 .000 .032 .061 .087 .085 .020 .166 .052 .117 .112 .073 .055 .073 .089 .021 .092 .028 .231 .262 .108 .040 r_peak,r_snr = 8.37301E-02 10.00478 Correlation Surface of oversamples image at 546 3846 .013 .012 .024 .071 .109 .053 .005 .001 .001 .088 .096 .111 .177 .239 .152 .033 .004 .001 .154 .207 .273 .418 .550 .422 .163 .040 .012 .134 .216 .364 .643 .885 .759 .381 .125 .036 .069 .126 .298 .665 1.000 .924 .543 .216 .058 .019 .039 .164 .499 .836 .810 .527 .246 .065 .002 .005 .070 .299 .538 .525 .361 .197 .055 .000 .000 .030 .159 .274 .236 .151 .091 .027 .004 .001 .015 .084 .107 .048 .010 .003 .000 546 1.156 3846 -13.531 10.00478 .037139 .066022 -.016863 Correlation Surface at 646 3846 .000 .098 .239 .079 .016 .043 .062 .014 .026 .024 .353 .567 .154 .036 .095 .067 .002 .017 .089 .283 .535 .302 .137 .098 .026 .000 .029 .068 .085 .183 .357 .552 .312 .060 .004 .015 .058 .060 .068 .337 1.000 .829 .336 .000 .000 .110 .076 .031 .137 .558 .667 .498 .088 .000 .036 .036 .002 .015 .080 .189 .217 .127 .006 .012 .006 .007 .043 .028 .007 .012 .006 .006 .004 .006 .033 .163 .115 .006 .024 .005 .032 r_peak,r_snr = .1085723 10.91872 Correlation Surface of oversamples image at 646 3846 .060 .169 .336 .419 .369 .267 .165 .091 .101 .304 .599 .731 .612 .404 .222 .106 .147 .406 .781 .959 .826 .560 .309 .136 .189 .432 .802 1.000 .907 .647 .380 .172 .186 .346 .639 .839 .818 .630 .408 .214 .128 .196 .372 .544 .605 .534 .403 .264 .060 .074 .154 .271 .372 .419 .413 .354 .024 .021 .049 .112 .207 .323 .446 .493 646 -1.469 3846 -11.688 10.91873 .046062 .045961 -.018984 Correlation Surface at 746 3846 .002 .011 .050 .100 .330 .289 .082 .000 .015 .001 .010 .035 .143 .444 .327 .073 .000 .051 .000 .002 .003 .172 .698 .530 .111 .000 .084 .004 .009 .057 .381 .918 .627 .148 .000 .068 .001 .021 .113 .486 1.000 .525 .089 .000 .019 .000 .001 .001 .125 .706 .401 .063 .006 .001 .021 .007 .015 .011 .424 .269 .006 .007 .053 .043 .001 .001 .051 .373 .216 .008 .007 .096 .007 .008 .001 .141 .431 .207 .000 .016 .064 r_peak,r_snr = .1185542 12.95274 Correlation Surface of oversamples image at 746 3846 .041 .105 .242 .448 .678 .754 .569 .305 .133 .081 .155 .292 .487 .727 .857 .725 .447 .214 .163 .247 .367 .511 .681 .787 .704 .482 .246 .285 .403 .548 .692 .812 .845 .741 .540 .303 .368 .511 .699 .888 1.000 .965 .808 .595 .354 .215 .296 .427 .605 .725 .696 .559 .395 .229 .086 .123 .199 .358 .511 .515 .388 .251 .142 .045 .071 .133 .295 .490 .509 .340 .180 .096 .026 .047 .099 .247 .446 .464 .260 .090 .033 746 .156 3846 -.031 12.95275 .027058 .186645 -.011020 Correlation Surface at 846 3846 .070 .025 .112 .013 .285 .182 .087 .103 .004 .034 .084 .066 .164 .182 .118 .119 .000 .033 .428 .562 .207 .097 .000 .012 .585 1.000 .395 .149 .135 .039 .455 .730 .599 .253 .337 .230 .204 .250 .374 .167 .190 .416 .005 .007 .052 .006 .020 .315 .020 .029 .000 .009 .003 .131 r_peak,r_snr = 8.54001E-02 8.31923 Correlation Surface of oversamples image at 846 3846 .025 .043 .277 .427 .327 .156 .071 .070 .087 .014 .048 .311 .536 .460 .243 .109 .085 .090 .000 .077 .376 .693 .689 .427 .209 .145 .140 .022 .151 .454 .817 .923 .693 .415 .296 .273 .124 .274 .513 .813 1.000 .918 .697 .547 .487 .257 .369 .484 .657 .859 .959 .902 .788 .681 .319 .353 .354 .422 .587 .787 .869 .822 .684 .283 .251 .200 .207 .315 .512 .647 .635 .481 .172 .121 .075 .065 .122 .267 .397 .392 .243 846 -13.906 3846 4.500 8.31923 .050059 .108498 -.020699 Correlation Surface at 946 3846 .218 .248 .007 .017 .050 .001 .001 .115 .162 .038 .072 .006 .039 .177 .007 .045 .000 .001 .001 .004 .010 .003 .131 .052 .036 .039 .063 .001 .085 .076 .011 .441 .285 .000 .025 .056 .045 .420 .153 .145 1.000 .346 .003 .000 .001 .144 .702 .265 .143 .719 .099 .067 .004 .004 .152 .679 .571 .003 .063 .006 .090 .005 .023 .061 .481 .680 .093 .003 .132 .115 .002 .000 .003 .160 .493 .067 .016 .086 .100 .005 .025 r_peak,r_snr = 8.78350E-02 10.87532 Correlation Surface of oversamples image at 946 3846 .001 .002 .042 .176 .356 .438 .287 .061 .000 .033 .001 .050 .296 .614 .749 .530 .172 .024 .105 .011 .069 .447 .852 .930 .617 .211 .043 .184 .019 .094 .580 .997 .938 .540 .169 .038 .210 .016 .114 .631 1.000 .829 .412 .114 .030 .212 .018 .083 .482 .746 .564 .247 .058 .019 .268 .049 .016 .205 .333 .215 .068 .008 .004 .422 .143 .006 .034 .068 .020 .000 .010 .001 .663 .312 .064 .000 .002 .008 .055 .073 .024 946 .125 3846 -.813 10.87532 .019083 .070353 .011612 Correlation Surface at 1046 3846 .036 .004 .020 .261 .910 .663 .042 .149 .518 .011 .003 .064 .377 .956 .594 .055 .115 .500 .036 .001 .086 .285 .669 .311 .012 .116 .236 .006 .003 .024 .146 .789 .400 .007 .185 .248 .013 .019 .005 .052 1.000 .637 .004 .210 .304 .021 .015 .002 .047 .839 .667 .001 .207 .177 .009 .018 .008 .117 .656 .405 .007 .145 .127 .000 .011 .044 .253 .613 .236 .022 .089 .319 .000 .001 .026 .242 .406 .110 .031 .020 .324 r_peak,r_snr = .1116514 8.25828 Correlation Surface of oversamples image at 1046 3846 .064 .137 .336 .533 .502 .310 .130 .025 .001 .041 .116 .335 .558 .522 .310 .118 .014 .009 .021 .100 .368 .661 .623 .363 .130 .011 .020 .012 .092 .423 .832 .813 .474 .169 .014 .021 .008 .078 .430 .950 1.000 .597 .207 .018 .019 .003 .048 .330 .839 .984 .619 .204 .013 .026 .003 .035 .238 .636 .811 .559 .195 .011 .030 .010 .048 .210 .483 .603 .446 .178 .014 .025 .026 .079 .221 .385 .418 .311 .141 .017 .016 1046 .313 3846 .125 8.25828 .014765 .241954 -.025460 Correlation Surface at 1146 3846 .000 .022 .073 .043 .424 .129 .019 .005 .077 .002 .000 .031 .000 .300 .202 .014 .001 .128 .025 .001 .026 .003 .216 .279 .058 .016 .106 .055 .001 .024 .040 .538 .382 .120 .082 .178 .073 .000 .042 .068 1.000 .368 .047 .036 .141 .082 .013 .000 .023 .778 .365 .020 .000 .030 .045 .007 .066 .126 .533 .353 .048 .008 .033 .000 .008 .005 .101 .461 .293 .062 .028 .050 .084 .060 .040 .020 .529 .398 .085 .027 .029 r_peak,r_snr = .1212498 14.99662 Correlation Surface of oversamples image at 1146 3846 .193 .227 .539 1.207 1.523 1.051 .393 .074 .005 .323 .424 .758 1.346 1.613 1.232 .615 .231 .089 .123 .335 .839 1.572 1.889 1.429 .709 .299 .155 .005 .240 1.093 2.296 2.775 2.072 .990 .399 .201 1146 .406 3846 2.875 14.99662 .008123 .052635 -.000511 Correlation Surface at 1246 3846 .425 .500 .608 .777 .860 .775 .598 .531 .512 .405 .482 .598 .830 .949 .828 .615 .549 .563 .411 .489 .594 .831 .978 .853 .652 .602 .601 .405 .472 .590 .808 .990 .883 .708 .650 .596 .420 .470 .605 .790 1.000 .942 .767 .676 .591 .444 .500 .642 .798 .969 .948 .791 .676 .578 .451 .521 .660 .793 .908 .899 .743 .630 .559 .468 .507 .642 .800 .888 .860 .696 .586 .569 .485 .497 .610 .798 .911 .854 .698 .599 .589 r_peak,r_snr = .5587952 1.90505 Correlation Surface of oversamples image at 1246 3846 .703 .832 .943 .984 .943 .851 .751 .676 .640 .695 .816 .931 .985 .956 .871 .775 .699 .659 .692 .804 .923 .992 .975 .895 .797 .712 .665 .701 .801 .918 1.000 .995 .918 .815 .721 .664 .722 .805 .910 .993 1.000 .929 .825 .725 .657 .746 .815 .898 .971 .983 .922 .823 .721 .645 .765 .827 .889 .943 .953 .902 .810 .710 .628 .771 .835 .884 .921 .924 .878 .793 .695 .612 .757 .829 .876 .899 .892 .849 .772 .680 .601 1246 .250 3846 .781 1.90505 .007964 .216971 -.017210 Correlation Surface at 1346 3846 .126 .203 .404 .665 .820 .633 .336 .184 .092 .135 .200 .444 .715 .783 .632 .343 .195 .128 .161 .223 .484 .789 .823 .603 .318 .162 .099 .172 .238 .492 .824 .925 .670 .345 .153 .069 .158 .228 .448 .821 1.000 .792 .442 .182 .085 .109 .179 .384 .767 .986 .773 .461 .171 .081 .083 .134 .347 .723 .939 .676 .381 .133 .046 .092 .140 .348 .705 .945 .677 .353 .127 .032 .094 .154 .359 .732 .973 .676 .357 .156 .048 r_peak,r_snr = .3746058 4.1616 Correlation Surface of oversamples image at 1346 3846 .466 .651 .804 .866 .828 .706 .532 .359 .220 .481 .672 .834 .907 .872 .739 .543 .354 .210 .477 .673 .851 .943 .924 .797 .591 .384 .224 .457 .655 .851 .967 .974 .871 .675 .454 .266 .422 .615 .824 .967 1.000 .925 .757 .541 .328 .372 .556 .771 .933 .980 .922 .786 .597 .381 .320 .494 .708 .879 .925 .862 .742 .585 .391 .281 .449 .659 .832 .874 .793 .664 .521 .355 .260 .427 .634 .811 .857 .761 .605 .452 .302 1346 -.094 3846 6.031 4.16160 .015867 .206779 -.027880 Correlation Surface at 1446 3846 .108 .200 .316 .719 .907 .374 .079 .022 .022 .051 .165 .416 .835 1.000 .469 .083 .020 .027 .073 .144 .370 .750 .942 .583 .142 .025 .027 .106 .176 .331 .665 .740 .582 .233 .048 .022 .078 .208 .386 .666 .606 .502 .272 .065 .008 .052 .155 .378 .693 .648 .569 .350 .109 .017 r_peak,r_snr = .1934944 5.54183 Correlation Surface of oversamples image at 1446 3846 .186 .337 .537 .672 .639 .484 .324 .209 .123 .222 .387 .624 .801 .781 .587 .365 .213 .126 .277 .457 .725 .931 .912 .686 .413 .223 .126 .305 .494 .774 1.000 .990 .758 .457 .231 .115 .288 .472 .744 .979 1.000 .798 .496 .242 .101 .248 .420 .675 .911 .971 .819 .542 .273 .104 .216 .376 .612 .842 .928 .827 .595 .331 .132 .212 .361 .574 .781 .870 .811 .636 .401 .184 .239 .378 .557 .719 .785 .753 .640 .454 .242 1446 .750 3846 -14.313 5.54183 .022163 .417727 -.040906 Correlation Surface at 1546 3846 .000 .057 .041 .021 .453 .506 .232 .090 .012 .014 .016 .018 .067 .344 .349 .351 .180 .022 .038 .007 .015 .185 .438 .176 .187 .209 .019 .060 .003 .003 .476 .848 .210 .082 .130 .031 .040 .052 .059 .657 1.000 .270 .071 .068 .014 .003 .047 .095 .594 .859 .203 .031 .022 .001 .010 .006 .096 .392 .632 .096 .002 .004 .009 .011 .001 .049 .158 .314 .022 .003 .004 .000 .012 .005 .016 .088 .202 .013 .000 .032 .005 r_peak,r_snr = .1339104 12.72884 Correlation Surface of oversamples image at 1546 3846 .057 .002 .064 .246 .336 .297 .239 .224 .234 .026 .003 .140 .420 .544 .426 .246 .153 .139 .001 .035 .262 .631 .795 .608 .300 .128 .087 .009 .105 .397 .797 .966 .743 .353 .124 .063 .033 .178 .504 .878 1.000 .759 .363 .116 .047 .044 .213 .557 .891 .936 .668 .309 .090 .027 .037 .206 .558 .870 .847 .542 .221 .054 .011 .026 .177 .508 .813 .768 .443 .148 .025 .002 .016 .128 .396 .683 .672 .367 .096 .008 .000 1546 -.063 3846 .906 12.72884 .016484 .242401 .009723 Correlation Surface at 1646 3846 .014 .011 .055 .293 .939 .823 .237 .042 .009 .023 .000 .034 .235 .789 .737 .279 .143 .075 .101 .032 .003 .149 .533 .581 .331 .179 .095 .071 .043 .019 .323 .627 .568 .426 .170 .059 .004 .001 .164 .665 1.000 .662 .332 .098 .025 .003 .046 .382 .808 .985 .636 .151 .008 .000 .000 .024 .329 .733 .580 .355 .086 .002 .037 .004 .029 .182 .459 .329 .218 .130 .000 .032 .008 .082 .156 .328 .317 .233 .226 .035 .000 r_peak,r_snr = .1471292 7.87842 Correlation Surface of oversamples image at 1646 3846 .106 .253 .561 .897 .968 .699 .353 .147 .072 .138 .304 .612 .933 1.000 .738 .384 .169 .096 .128 .285 .562 .847 .916 .702 .393 .187 .112 .087 .215 .442 .677 .745 .600 .373 .195 .111 .060 .170 .354 .532 .585 .499 .350 .207 .112 .066 .186 .350 .477 .506 .451 .351 .229 .122 1646 .344 3846 -.781 7.87842 .046019 .118563 .033528 Correlation Surface at 1746 3846 .179 .037 .006 .018 .112 .069 .016 .048 .144 .078 .096 .048 .000 .165 .123 .006 .010 .095 .038 .112 .157 .018 .073 .057 .007 .003 .037 .271 .244 .089 .017 .208 .011 .108 .025 .059 .611 .388 .043 .181 1.000 .144 .099 .121 .092 .453 .319 .063 .069 .966 .289 .000 .020 .031 .220 .082 .048 .012 .432 .189 .041 .006 .004 .148 .001 .006 .096 .427 .306 .064 .060 .013 .150 .047 .176 .195 .298 .188 .027 .142 .152 r_peak,r_snr = 9.05235E-02 7.78134 Correlation Surface of oversamples image at 1746 3846 .502 .343 .201 .089 .015 .007 .084 .346 .467 .352 .156 .041 .001 .009 .000 .126 .532 .736 .192 .029 .009 .117 .221 .074 .046 .491 .837 .108 .000 .093 .412 .684 .376 .003 .272 .668 .087 .000 .122 .560 1.000 .700 .088 .079 .367 .082 .004 .068 .447 .929 .784 .201 .003 .125 .053 .012 .020 .255 .660 .684 .279 .021 .012 .008 .004 .008 .152 .483 .627 .385 .109 .011 .016 .006 .019 .134 .437 .658 .514 .213 .047 1746 .094 3846 .688 7.78134 .013073 .048845 -.004248 Correlation Surface at 1846 3846 .001 .000 .031 .031 .263 .302 .128 .000 .001 .011 .001 .261 .384 .001 .328 .134 .011 .054 .004 .008 .108 .773 .134 .250 .235 .119 .084 .013 .086 .001 .672 .443 .008 .031 .177 .170 .009 .172 .206 .423 1.000 .128 .023 .000 .143 .003 .110 .242 .200 .708 .144 .037 .029 .065 .072 .001 .024 .216 .318 .025 .008 .004 .158 r_peak,r_snr = 7.63210E-02 8.36902 Correlation Surface of oversamples image at 1846 3846 .001 .119 .416 .451 .200 .023 .005 .023 .033 .068 .022 .320 .548 .407 .151 .020 .000 .004 .238 .003 .236 .661 .689 .379 .105 .014 .001 .379 .029 .182 .737 .937 .625 .225 .044 .010 .359 .034 .162 .720 1.000 .755 .321 .067 .011 .224 .014 .159 .615 .855 .702 .327 .060 .001 .103 .001 .163 .520 .677 .565 .261 .030 .010 .072 .002 .131 .440 .555 .431 .171 .005 .056 .133 .032 .054 .330 .467 .338 .106 .000 .094 1846 9.969 3846 12.875 8.36902 .032469 .105984 -.030908 Correlation Surface at 1946 3846 .001 .000 .019 .302 .695 .099 .029 .002 .027 .000 .044 .152 .442 .620 .116 .021 .002 .029 .001 .008 .076 .397 .386 .121 .010 .001 .008 .001 .007 .010 .212 .572 .278 .136 .011 .006 .001 .003 .065 .092 1.000 .524 .145 .036 .001 .008 .014 .019 .094 .801 .362 .033 .029 .001 .003 .040 .018 .130 .565 .175 .015 .021 .000 .006 .008 .012 .148 .656 .328 .086 .082 .010 .040 .016 .013 .206 .646 .554 .205 .159 .112 r_peak,r_snr = .1115958 10.96902 Correlation Surface of oversamples image at 1946 3846 .085 .203 .282 .316 .321 .240 .119 .042 .012 .022 .158 .317 .397 .398 .318 .215 .129 .065 .000 .104 .383 .591 .577 .422 .283 .193 .116 .028 .053 .437 .840 .822 .516 .283 .180 .121 .068 .022 .433 .995 1.000 .552 .220 .105 .073 .063 .014 .380 .939 .966 .499 .144 .040 .024 .023 .023 .317 .722 .722 .359 .083 .010 .003 .001 .047 .287 .530 .478 .230 .051 .003 .000 .003 .081 .303 .477 .400 .203 .060 .009 .001 1946 .250 3846 2.156 10.96902 .012617 .076135 -.005834 Correlation Surface at 2046 3846 .236 .229 .226 .587 .935 .656 .347 .278 .226 .239 .237 .238 .560 .982 .716 .348 .249 .201 .221 .243 .271 .574 .998 .735 .355 .241 .173 .180 .234 .265 .507 .994 .860 .440 .279 .198 .150 .204 .220 .449 1.000 .896 .462 .260 .207 .139 .179 .189 .394 .873 .743 .367 .203 .161 .162 .170 .220 .337 .605 .596 .314 .175 .137 .194 .185 .265 .375 .510 .574 .351 .180 .122 .194 .202 .268 .442 .620 .629 .415 .235 .135 r_peak,r_snr = .3595554 3.98788 Correlation Surface of oversamples image at 2046 3846 .234 .358 .577 .765 .795 .708 .594 .479 .367 .239 .354 .589 .834 .914 .832 .693 .545 .403 .255 .364 .600 .871 .985 .906 .744 .571 .410 .273 .376 .605 .875 1.000 .922 .750 .568 .406 .283 .377 .589 .845 .975 .909 .738 .563 .413 .282 .358 .545 .786 .934 .897 .741 .576 .439 .273 .333 .494 .725 .899 .905 .773 .615 .481 .258 .311 .459 .687 .881 .920 .808 .654 .514 2046 .000 3846 -4.750 3.98788 .004920 .095075 -.001417 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .026 .011 .049 .067 .255 .483 .425 .056 .025 .022 .077 .100 .041 .079 .293 .392 .129 .039 .035 .067 .147 .166 .088 .013 .031 .094 .001 .061 .001 .053 .407 .666 .022 .042 .023 .106 .133 .011 .012 .383 1.000 .390 .001 .008 .101 .063 .000 .035 .319 .589 .411 .058 .001 .004 .007 .019 .008 .170 .225 .063 .000 .014 .029 .053 .255 .056 .084 .173 .020 .006 .010 .000 .006 .346 .207 .146 .327 .113 .004 .000 .000 r_peak,r_snr = 8.04720E-02 7.09994 Correlation Surface of oversamples image at 146 4246 .534 .372 .223 .093 .007 .016 .062 .032 .013 .470 .415 .376 .284 .089 .003 .134 .176 .023 .333 .398 .533 .639 .426 .065 .040 .176 .066 .196 .337 .609 .926 .871 .389 .026 .028 .022 .103 .259 .564 .928 1.000 .673 .232 .025 .003 .061 .186 .415 .664 .729 .587 .330 .114 .032 .034 .110 .230 .325 .323 .261 .172 .075 .014 .009 .040 .094 .117 .086 .050 .026 .005 .002 .000 .004 .025 .038 .019 .003 .000 .008 .033 146 -.219 4246 -5.188 7.09994 .043321 .123091 -.033159 Correlation Surface at 246 4246 .004 .012 .160 .304 .473 .718 .416 .129 .015 .010 .049 .178 .364 .533 .590 .221 .046 .013 .019 .144 .296 .514 .692 .626 .179 .079 .036 .033 .079 .185 .553 .980 .859 .263 .092 .014 .096 .046 .032 .249 1.000 .905 .255 .042 .001 .059 .057 .010 .063 .498 .372 .080 .006 .018 .002 .006 .018 .072 .259 .089 .007 .000 .025 .009 .003 .060 .235 .352 .075 .020 .020 .038 .000 .018 .066 .368 .589 .209 .067 .164 .187 r_peak,r_snr = .123365 8.23537 Correlation Surface of oversamples image at 246 4246 .110 .162 .273 .433 .524 .444 .269 .135 .068 .170 .244 .372 .532 .599 .478 .277 .140 .085 .217 .346 .521 .692 .740 .580 .333 .166 .101 .192 .390 .653 .872 .909 .705 .403 .192 .101 .109 .324 .664 .956 1.000 .762 .424 .184 .078 .035 .196 .528 .854 .915 .675 .351 .135 .044 .004 .087 .326 .595 .653 .458 .213 .069 .017 .000 .031 .162 .324 .347 .220 .083 .020 .003 .000 .015 .082 .160 .148 .070 .016 .001 .000 246 .313 4246 -6.469 8.23537 .027681 .080091 -.009422 Correlation Surface at 346 4246 .393 .308 .064 .105 .741 .309 .016 .135 .077 .346 .381 .124 .061 .599 .390 .003 .097 .143 .230 .312 .142 .067 .491 .277 .028 .024 .069 .121 .161 .033 .205 .753 .294 .044 .000 .000 .083 .129 .015 .267 1.000 .461 .115 .020 .003 .081 .075 .034 .119 .803 .428 .070 .003 .000 .115 .023 .012 .041 .477 .338 .003 .081 .047 .214 .041 .000 .020 .172 .211 .002 .177 .131 .224 .096 .001 .008 .048 .091 .002 .086 .062 r_peak,r_snr = .1273503 12.68158 Correlation Surface of oversamples image at 346 4246 .057 .008 .182 .422 .473 .341 .183 .069 .007 .038 .019 .230 .485 .500 .310 .139 .055 .013 .006 .060 .334 .636 .652 .396 .161 .059 .022 .004 .133 .460 .809 .862 .583 .268 .105 .046 .021 .180 .514 .888 1.000 .765 .418 .192 .090 .018 .149 .435 .798 .966 .810 .496 .252 .121 .002 .074 .279 .595 .796 .704 .437 .213 .092 .002 .019 .141 .393 .602 .546 .305 .112 .025 .011 .002 .065 .254 .458 .434 .210 .041 .000 346 -.094 4246 3.625 12.68158 .013852 .121143 -.010368 Correlation Surface at 546 4246 .101 .097 .004 .049 .314 .159 .008 .058 .039 .012 .012 .001 .029 .071 .004 .002 .004 .000 .000 .012 .072 .233 .296 .057 .041 .090 .039 .150 .018 .051 .398 .953 .453 .383 .572 .125 .251 .133 .003 .270 1.000 .544 .326 .520 .132 .071 .102 .002 .205 .531 .270 .073 .095 .034 .065 .133 .000 .150 .191 .100 .028 .006 .001 .176 .133 .006 .085 .170 .073 .032 .020 .002 .161 .043 .002 .120 .216 .050 .002 .004 .012 r_peak,r_snr = .1034245 11.70402 Correlation Surface of oversamples image at 546 4246 .010 .030 .062 .085 .067 .016 .000 .005 .002 .031 .085 .172 .234 .208 .105 .032 .017 .026 .056 .161 .358 .528 .522 .345 .182 .132 .146 .066 .204 .501 .814 .880 .649 .389 .287 .292 .056 .187 .498 .871 1.000 .780 .484 .342 .330 .042 .137 .374 .684 .815 .652 .405 .266 .239 .036 .092 .230 .420 .512 .417 .257 .153 .115 .036 .070 .141 .231 .279 .239 .151 .079 .038 .037 .068 .111 .148 .162 .149 .110 .059 .018 546 .406 4246 -.594 11.70402 .022315 .119701 -.001362 Correlation Surface at 646 4246 .003 .000 .006 .007 .152 .214 .077 .002 .001 .001 .008 .059 .001 .113 .194 .076 .000 .003 .033 .001 .035 .016 .205 .115 .014 .018 .027 .103 .020 .000 .151 .612 .167 .001 .063 .089 .065 .049 .013 .240 1.000 .382 .021 .049 .105 .001 .004 .015 .219 .771 .348 .032 .017 .051 .008 .022 .003 .172 .501 .153 .000 .026 .041 .002 .005 .000 .110 .353 .099 .007 .054 .054 .034 .019 .001 .075 .286 .105 .001 .026 .027 r_peak,r_snr = .174074 22.90996 Correlation Surface of oversamples image at 646 4246 .073 .049 .001 .121 .297 .325 .247 .148 .059 .029 .014 .023 .248 .478 .444 .272 .121 .028 .001 .001 .084 .417 .709 .613 .329 .117 .017 .016 .028 .169 .573 .913 .780 .405 .138 .019 .048 .070 .240 .654 1.000 .861 .456 .166 .032 .050 .085 .257 .631 .930 .798 .432 .168 .042 .028 .070 .225 .530 .752 .629 .332 .127 .031 .009 .050 .180 .411 .558 .441 .209 .065 .009 .002 .037 .150 .327 .420 .306 .118 .020 .000 646 .125 4246 .031 22.90996 .006088 .030732 -.001133 Correlation Surface at 746 4246 .040 .146 .098 .037 .009 .271 .250 .418 .312 .000 .024 .015 .008 .130 .613 .513 .610 .464 .003 .009 .116 .374 .570 .499 .203 .172 .238 .011 .004 .183 .750 .935 .249 .020 .017 .028 .070 .068 .074 .630 1.000 .307 .022 .011 .005 .026 .023 .113 .466 .761 .443 .097 .047 .049 .006 .034 .243 .347 .229 .170 .082 .077 .112 .012 .104 .220 .134 .000 .000 .014 .040 .105 .001 .062 .105 .019 .024 .038 .002 .019 .076 r_peak,r_snr = .1055313 10.60957 Correlation Surface of oversamples image at 746 4246 .041 .000 .078 .270 .402 .423 .401 .346 .269 .004 .020 .204 .535 .757 .796 .738 .614 .473 .025 .112 .379 .772 1.000 .963 .796 .607 .484 .184 .312 .553 .849 .970 .831 .580 .374 .307 .439 .553 .634 .706 .679 .515 .300 .145 .111 .644 .734 .613 .461 .339 .227 .116 .036 .018 .723 .836 .586 .292 .136 .077 .039 .007 .000 746 -7.406 4246 -4.813 10.60957 .037931 .430516 -.069837 Correlation Surface at 846 4246 .399 .320 .000 .179 .048 .002 .064 .005 .026 .445 .175 .074 .362 .045 .002 .003 .102 .053 .299 .107 .077 .322 .090 .044 .036 .004 .003 .027 .000 .088 .317 .324 .103 .046 .150 .153 .025 .149 .352 .636 1.000 .115 .038 .000 .216 .114 .137 .338 .478 .837 .085 .166 .197 .000 .369 .024 .014 .097 .129 .001 .048 .195 .177 .534 .026 .002 .045 .046 .014 .004 .094 .252 r_peak,r_snr = 7.44912E-02 6.51822 Correlation Surface of oversamples image at 846 4246 .123 .172 .164 .110 .049 .007 .001 .011 .013 .111 .171 .239 .299 .293 .169 .033 .001 .015 .114 .158 .283 .507 .679 .519 .155 .001 .035 .135 .137 .267 .608 .971 .850 .299 .005 .068 .163 .117 .214 .565 1.000 .946 .373 .010 .085 .151 .092 .154 .432 .791 .782 .337 .013 .075 .078 .054 .103 .286 .505 .487 .212 .008 .061 .013 .019 .069 .192 .293 .240 .085 .000 .063 .000 .002 .047 .147 .189 .108 .017 .007 .087 846 9.188 4246 11.344 6.51822 .032643 .083133 .005682 Correlation Surface at 946 4246 .020 .112 .003 .157 .460 .058 .058 .010 .076 .001 .166 .137 .133 .635 .143 .012 .002 .024 .026 .061 .088 .184 1.000 .322 .002 .003 .006 .025 .012 .008 .237 .991 .526 .002 .004 .001 .002 .029 .003 .096 .546 .471 .028 .011 .000 .051 .048 .021 .000 .177 .373 .237 .021 .013 .069 .128 .069 .031 .010 .154 .256 .094 .048 r_peak,r_snr = .1139122 13.65168 Correlation Surface of oversamples image at 946 4246 .000 .078 .307 .555 .609 .346 .057 .010 .075 .041 .016 .226 .544 .694 .486 .144 .001 .039 .108 .000 .157 .519 .770 .621 .237 .017 .014 .113 .000 .144 .543 .886 .781 .326 .032 .007 .068 .002 .181 .604 1.000 .918 .386 .031 .013 .029 .018 .232 .629 .992 .916 .382 .020 .036 .017 .027 .234 .560 .821 .742 .315 .013 .053 .020 .015 .172 .414 .581 .524 .251 .021 .031 .028 .001 .084 .255 .385 .377 .239 .065 .000 946 6.188 4246 -12.781 13.65169 .011940 .195479 -.012877 Correlation Surface at 1046 4246 .106 .005 .363 .717 .204 .036 .003 .001 .015 .038 .000 .314 .757 .323 .105 .020 .001 .004 .000 .007 .277 .843 .602 .243 .031 .007 .000 .000 .009 .201 .777 .919 .347 .007 .047 .002 .007 .025 .281 .734 1.000 .371 .000 .056 .007 .009 .170 .620 .872 .790 .287 .000 .024 .001 r_peak,r_snr = .1210382 9.07836 Correlation Surface of oversamples image at 1046 4246 .006 .044 .179 .425 .688 .880 .938 .767 .414 .016 .081 .244 .491 .732 .913 .970 .793 .425 .057 .175 .394 .651 .844 .948 .928 .719 .375 .143 .318 .587 .842 .966 .962 .837 .592 .295 .228 .435 .721 .949 1.000 .903 .705 .456 .220 .226 .440 .711 .893 .885 .741 .533 .323 .155 .134 .327 .572 .721 .682 .528 .348 .199 .093 .039 .179 .393 .540 .507 .357 .203 .099 .041 .005 .087 .272 .448 .447 .295 .138 .048 .013 1046 -.094 4246 14.469 9.07836 .030340 .306479 .019120 Correlation Surface at 1246 4246 .033 .023 .093 .395 .627 .296 .066 .062 .015 .021 .038 .139 .456 .780 .362 .058 .038 .010 .010 .034 .142 .411 .822 .509 .122 .031 .006 .010 .022 .091 .328 .918 .692 .200 .040 .009 .007 .006 .053 .309 1.000 .825 .223 .035 .008 .005 .000 .051 .375 .885 .699 .211 .048 .025 .008 .000 .080 .453 .760 .447 .144 .065 .076 .013 .001 .097 .446 .696 .370 .138 .074 .107 .022 .019 .114 .387 .599 .344 .172 .089 .095 r_peak,r_snr = .2540514 11.95125 Correlation Surface of oversamples image at 1246 4246 .115 .219 .426 .717 .893 .805 .554 .298 .125 .107 .202 .401 .693 .892 .832 .597 .347 .161 .101 .198 .402 .711 .943 .902 .656 .387 .188 .095 .195 .407 .734 .994 .973 .712 .415 .201 .084 .189 .407 .737 1.000 .989 .734 .432 .211 .075 .187 .414 .734 .963 .936 .700 .425 .218 .070 .198 .442 .751 .922 .846 .621 .385 .210 .073 .219 .482 .784 .902 .769 .537 .332 .189 .079 .238 .506 .799 .894 .732 .491 .298 .173 1246 .219 4246 .813 11.95125 .006393 .117101 .002289 Correlation Surface at 1346 4246 .039 .418 .261 .264 .269 .066 .061 .053 .010 .006 .137 .208 .442 .714 .175 .092 .004 .004 .075 .043 .148 .443 1.000 .472 .228 .008 .001 .065 .055 .175 .396 .610 .434 .276 .057 .011 .002 .063 .122 .200 .192 .090 .122 .155 .095 .000 .037 .050 .182 .252 .046 .038 .095 .186 .006 .039 .044 .255 .518 .212 .070 .001 .053 r_peak,r_snr = 9.34946E-02 10.6054 Correlation Surface of oversamples image at 1346 4246 .147 .146 .231 .314 .272 .169 .086 .041 .033 .152 .192 .335 .492 .470 .299 .142 .051 .017 .138 .218 .425 .693 .747 .523 .257 .090 .016 .128 .219 .442 .791 .967 .762 .399 .146 .024 .143 .227 .407 .743 1.000 .873 .490 .186 .036 .180 .257 .371 .606 .834 .777 .460 .178 .040 .201 .269 .323 .440 .558 .519 .313 .123 .033 .168 .224 .245 .282 .300 .241 .133 .051 .021 .104 .151 .175 .193 .164 .088 .028 .007 .007 1346 -1.938 4246 -13.156 10.60540 .036926 .099163 -.015734 Correlation Surface at 1446 4246 .032 .197 .210 .315 .463 .445 .393 .220 .145 .004 .212 .341 .416 .495 .426 .403 .264 .170 .004 .196 .413 .589 .666 .501 .367 .249 .167 .004 .112 .271 .604 .970 .692 .315 .212 .150 .007 .082 .169 .479 1.000 .866 .434 .295 .165 .018 .079 .196 .442 .868 .971 .567 .342 .159 .011 .029 .213 .488 .759 .949 .544 .281 .145 .009 .018 .210 .538 .699 .784 .576 .345 .149 r_peak,r_snr = .17141 6.0338 Correlation Surface of oversamples image at 1446 4246 .308 .619 .906 .981 .841 .640 .491 .425 .385 .248 .520 .804 .943 .879 .703 .543 .462 .411 .229 .456 .723 .910 .918 .763 .574 .461 .397 .252 .439 .683 .900 .962 .817 .588 .433 .355 .309 .466 .672 .893 1.000 .882 .632 .438 .335 .373 .505 .659 .851 .992 .939 .719 .509 .373 .419 .522 .618 .759 .911 .945 .813 .628 .462 .453 .527 .580 .673 .818 .916 .884 .763 .587 1446 .969 4246 12.875 6.03380 .051456 .599982 -.124248 Correlation Surface at 1546 4246 .001 .005 .002 .045 .137 .141 .060 .001 .021 .020 .001 .021 .042 .082 .076 .035 .001 .057 .080 .039 .024 .092 .082 .048 .016 .000 .032 .058 .056 .052 .287 .413 .154 .002 .021 .037 .003 .007 .108 .427 1.000 .457 .008 .039 .062 .001 .000 .055 .309 .905 .523 .060 .009 .002 .000 .006 .022 .118 .368 .304 .097 .151 .015 .035 .097 .077 .112 .123 .078 .033 .121 .005 .025 .110 .062 .084 .068 .013 .000 .036 .000 r_peak,r_snr = .1347074 23.09711 Correlation Surface of oversamples image at 1546 4246 .007 .055 .100 .139 .152 .123 .065 .015 .000 .028 .128 .233 .323 .350 .265 .121 .022 .001 .057 .206 .384 .560 .643 .506 .231 .041 .001 .056 .214 .442 .718 .907 .773 .385 .080 .000 .021 .136 .358 .696 1.000 .948 .525 .139 .006 .000 .044 .197 .509 .872 .939 .589 .194 .026 .006 .004 .071 .282 .607 .760 .542 .212 .049 .004 .000 .024 .135 .357 .516 .414 .182 .054 .004 .006 .022 .080 .201 .304 .256 .118 .038 1546 .219 4246 3.563 23.09711 .016930 .040290 -.006865 Correlation Surface at 1646 4246 .084 .266 .368 .396 .488 .500 .351 .210 .070 .063 .248 .395 .370 .558 .541 .235 .109 .039 .093 .304 .541 .571 .696 .591 .241 .112 .092 .095 .305 .622 .881 .959 .666 .270 .111 .115 .038 .128 .470 .906 1.000 .601 .220 .061 .039 .049 .035 .336 .732 .728 .431 .116 .012 .016 .200 .071 .308 .599 .554 .329 .087 .000 .010 .330 .186 .320 .584 .687 .400 .137 .002 .003 .367 .266 .344 .755 .965 .498 .127 .009 .002 r_peak,r_snr = .1895156 6.29119 Correlation Surface of oversamples image at 1646 4246 .173 .172 .173 .248 .405 .491 .383 .213 .125 .223 .267 .304 .401 .554 .598 .433 .220 .109 .287 .387 .478 .607 .754 .755 .536 .278 .130 .324 .475 .630 .798 .933 .889 .638 .360 .182 .303 .485 .689 .888 1.000 .916 .664 .404 .226 .246 .436 .646 .832 .908 .811 .592 .373 .221 .190 .374 .547 .672 .701 .617 .455 .283 .162 .146 .314 .444 .502 .488 .420 .312 .183 .086 .115 .257 .360 .386 .351 .291 .215 .117 .037 1646 1.063 4246 -5.563 6.29119 .038541 .093756 .009906 Correlation Surface at 1746 4246 .156 .078 .070 .089 .152 .021 .023 .122 .216 .085 .103 .205 .230 .134 .017 .002 .002 .103 .000 .015 .132 .477 .328 .075 .049 .004 .079 .020 .005 .031 .543 .767 .237 .129 .034 .058 .000 .009 .013 .435 1.000 .558 .230 .100 .064 .034 .003 .000 .235 .613 .516 .206 .070 .055 .005 .004 .001 .152 .270 .152 .069 .019 .003 .002 .093 .108 .223 .189 .016 .015 .007 .008 .004 .062 .310 .421 .211 .020 .017 .000 .006 r_peak,r_snr = 8.77951E-02 8.89771 Correlation Surface of oversamples image at 1746 4246 .121 .269 .378 .300 .143 .050 .026 .020 .014 .045 .188 .400 .453 .305 .142 .068 .032 .010 .027 .164 .443 .633 .559 .347 .190 .085 .024 .029 .182 .498 .791 .836 .648 .425 .223 .082 .030 .201 .521 .851 1.000 .908 .699 .430 .198 .016 .174 .468 .773 .953 .957 .846 .607 .331 .001 .105 .343 .581 .721 .755 .742 .611 .381 .003 .050 .226 .395 .462 .460 .463 .425 .294 .001 .037 .174 .290 .292 .236 .209 .203 .156 1746 .094 4246 3.188 8.89771 .058203 .153242 -.045507 Correlation Surface at 1846 4246 .107 .237 .035 .003 .029 .074 .002 .196 .057 .024 .039 .043 .023 .003 .000 .001 .083 .050 .063 .003 .025 .032 .059 .116 .037 .028 .001 .040 .000 .020 .097 .369 .289 .038 .039 .010 .013 .000 .020 .425 1.000 .316 .004 .021 .002 .036 .083 .053 .360 .773 .148 .003 .001 .011 .046 .187 .160 .143 .210 .000 .131 .031 .012 .020 .020 .023 .035 .181 .000 .317 .173 .001 .003 .002 .001 .000 .127 .010 .171 .101 .028 r_peak,r_snr = 9.82493E-02 13.5173 Correlation Surface of oversamples image at 1846 4246 .002 .011 .033 .094 .196 .255 .170 .047 .008 .015 .055 .128 .250 .379 .396 .238 .065 .010 .034 .132 .322 .560 .682 .563 .278 .065 .007 .045 .178 .499 .878 .968 .665 .265 .048 .002 .053 .168 .500 .922 1.000 .630 .212 .028 .000 .072 .138 .366 .687 .753 .463 .137 .010 .002 .099 .117 .227 .400 .441 .262 .059 .000 .018 .101 .091 .129 .214 .241 .131 .012 .018 .067 .060 .054 .070 .131 .166 .086 .001 .055 .137 1846 3.844 4246 5.313 13.51730 .024381 .051352 .010902 Correlation Surface at 1946 4246 .024 .015 .105 .235 .518 .400 .202 .003 .107 .020 .072 .290 .541 .714 .345 .102 .000 .153 .000 .103 .340 .781 .961 .375 .061 .001 .096 .029 .040 .086 .539 .955 .407 .056 .007 .080 .040 .044 .036 .490 1.000 .366 .036 .006 .043 .010 .028 .021 .335 .768 .202 .019 .000 .018 .006 .002 .000 .162 .349 .057 .000 .001 .010 .029 .011 .007 .141 .398 .081 .011 .011 .015 .020 .004 .037 .065 .545 .185 .002 .001 .028 r_peak,r_snr = .108768 11.15223 Correlation Surface of oversamples image at 1946 4246 .161 .254 .496 .780 .849 .671 .401 .207 .081 .064 .141 .380 .721 .860 .696 .394 .166 .039 .020 .081 .310 .690 .885 .725 .388 .136 .018 .005 .053 .285 .710 .942 .750 .370 .113 .012 .002 .043 .281 .748 1.000 .758 .335 .093 .013 .001 .043 .279 .736 .974 .703 .275 .068 .015 .001 .046 .265 .655 .838 .577 .199 .037 .009 .002 .054 .242 .546 .674 .453 .141 .016 .001 .005 .065 .220 .457 .569 .391 .117 .007 .002 1946 .000 4246 3.625 11.15224 .022823 .409458 .005933 Correlation Surface at 2046 4246 .013 .000 .016 .208 .433 .043 .059 .087 .045 .005 .000 .026 .300 .549 .072 .049 .060 .027 .022 .002 .023 .368 .623 .082 .031 .032 .009 .039 .004 .018 .429 .790 .140 .010 .020 .004 .039 .005 .022 .470 1.000 .278 .000 .023 .014 .067 .034 .012 .402 .925 .330 .006 .011 .022 .088 .080 .000 .294 .703 .248 .017 .000 .012 .062 .085 .006 .263 .710 .274 .034 .005 .004 .041 .051 .003 .263 .748 .350 .052 .011 .000 r_peak,r_snr = .2713611 19.26393 Correlation Surface of oversamples image at 2046 4246 .054 .224 .513 .738 .668 .349 .077 .000 .021 .047 .221 .540 .796 .725 .385 .094 .001 .013 .044 .220 .564 .870 .826 .471 .139 .009 .005 .047 .225 .581 .932 .943 .593 .216 .031 .000 .052 .227 .571 .931 1.000 .697 .304 .068 .002 .049 .211 .514 .839 .938 .708 .354 .106 .011 .036 .174 .420 .681 .773 .609 .331 .118 .022 .019 .130 .330 .532 .600 .474 .262 .102 .027 .006 .095 .276 .453 .501 .385 .207 .083 .028 2046 -.188 4246 -1.094 19.26394 .003414 .050744 -.004099 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .013 .207 .088 .001 .006 .006 .123 .084 .095 .003 .023 .024 .001 .011 .011 .015 .296 .193 .001 .000 .114 .079 .057 .015 .009 .269 .322 .104 .057 .711 .810 .382 .010 .002 .054 .168 .072 .134 .789 .990 1.000 .283 .013 .037 .124 .005 .070 .263 .167 .470 .695 .003 .201 .428 .006 .074 .117 .019 .043 .352 .087 .114 .316 .001 .139 .134 .017 .022 .048 .174 .019 .003 .005 .125 .080 .002 .010 .049 .254 .205 .136 r_peak,r_snr = 6.59577E-02 5.78408 Correlation Surface of oversamples image at 146 4646 .004 .006 .000 .006 .013 .014 .018 .033 .047 .000 .002 .042 .128 .141 .083 .042 .027 .020 .006 .041 .202 .447 .479 .284 .116 .034 .004 .033 .139 .419 .799 .874 .582 .265 .079 .006 .062 .239 .549 .909 1.000 .760 .440 .189 .043 .059 .245 .492 .722 .774 .653 .496 .329 .153 .024 .158 .324 .437 .437 .383 .379 .378 .272 .001 .064 .174 .234 .210 .168 .198 .283 .283 .006 .022 .104 .151 .122 .075 .079 .143 .192 146 -12.656 4646 -7.594 5.78408 .274555 .153646 -.166329 Correlation Surface at 246 4646 .036 .065 .039 .448 .345 .138 .095 .015 .027 .013 .019 .046 .325 .227 .123 .112 .000 .080 .002 .002 .097 .295 .205 .131 .232 .007 .159 .010 .005 .099 .446 .544 .307 .287 .044 .107 .034 .005 .025 .420 1.000 .721 .295 .034 .040 .001 .012 .003 .168 .795 .790 .265 .012 .033 .013 .002 .003 .063 .461 .576 .211 .008 .048 .002 .015 .025 .147 .485 .465 .123 .000 .089 .028 .003 .088 .410 .752 .479 .121 .000 .032 r_peak,r_snr = .1403874 12.13724 Correlation Surface of oversamples image at 246 4646 .270 .419 .471 .396 .284 .250 .293 .288 .157 .289 .486 .619 .599 .463 .361 .341 .302 .164 .270 .504 .731 .820 .709 .534 .415 .308 .151 .215 .466 .750 .947 .915 .706 .490 .305 .129 .141 .387 .696 .950 1.000 .814 .541 .301 .117 .071 .284 .598 .877 .981 .836 .554 .300 .120 .029 .187 .481 .777 .914 .800 .529 .287 .123 .017 .131 .388 .689 .840 .737 .476 .248 .101 .029 .123 .345 .627 .769 .662 .413 .196 .064 246 .344 4646 -4.469 12.13724 .033641 .055594 -.024531 Correlation Surface at 346 4646 .027 .117 .047 .038 .454 .205 .018 .014 .014 .056 .099 .005 .124 .554 .438 .001 .034 .001 .092 .082 .000 .273 .612 .321 .002 .054 .002 .043 .066 .003 .403 .791 .224 .000 .040 .001 .000 .038 .020 .512 1.000 .355 .001 .011 .000 .002 .060 .008 .469 .924 .442 .008 .009 .000 .029 .217 .039 .251 .696 .326 .013 .007 .004 .020 .243 .112 .086 .422 .214 .025 .000 .026 .006 .091 .016 .121 .312 .164 .032 .004 .031 r_peak,r_snr = .1369008 12.83204 Correlation Surface of oversamples image at 346 4646 .004 .106 .321 .532 .620 .545 .346 .137 .015 .006 .135 .414 .682 .740 .563 .292 .090 .007 .010 .165 .491 .802 .857 .619 .276 .058 .001 .019 .204 .555 .884 .954 .703 .311 .053 .000 .030 .240 .599 .918 1.000 .776 .381 .077 .000 .034 .252 .598 .878 .950 .778 .440 .123 .002 .020 .217 .538 .770 .806 .675 .427 .156 .011 .003 .144 .426 .629 .635 .518 .344 .149 .021 .004 .064 .280 .463 .476 .378 .250 .117 .024 346 -.125 4646 3.000 12.83205 .015605 .245094 -.015037 Correlation Surface at 446 4646 .153 .333 .247 .604 .948 .271 .073 .335 .250 .079 .147 .202 .370 .678 .099 .001 .197 .257 .079 .034 .100 .278 .714 .322 .006 .098 .282 .180 .108 .074 .266 .941 .770 .071 .044 .188 .147 .247 .162 .246 1.000 .937 .124 .067 .292 .193 .358 .397 .272 .628 .732 .109 .078 .507 .452 .801 .710 .357 .353 .364 .018 .024 .474 .464 .954 .676 .431 .510 .257 .000 .016 .334 .215 .362 .233 .242 .637 .460 .014 .081 .326 r_peak,r_snr = .1071162 4.52673 Correlation Surface of oversamples image at 446 4646 .170 .189 .240 .275 .264 .302 .484 .719 .673 .261 .270 .346 .425 .411 .387 .482 .625 .549 .422 .409 .490 .610 .618 .542 .524 .532 .393 .630 .621 .682 .813 .848 .749 .630 .504 .287 .775 .808 .838 .951 1.000 .908 .742 .529 .244 .725 .785 .804 .887 .942 .885 .745 .537 .236 .562 .596 .627 .709 .777 .753 .669 .536 .287 446 -1.594 4646 6.688 4.52673 .037106 .167597 .003067 Correlation Surface at 546 4646 .080 .008 .012 .009 .002 .012 .050 .000 .057 .014 .002 .000 .012 .039 .002 .003 .001 .004 .251 .088 .037 .124 .342 .057 .001 .000 .042 .187 .105 .013 .120 .807 .208 .007 .009 .049 .094 .000 .068 .028 1.000 .255 .001 .004 .006 .105 .013 .145 .007 .884 .374 .000 .001 .002 .000 .007 .053 .014 .815 .644 .000 .092 .044 .137 .082 .085 .004 .549 .619 .030 .165 .121 .222 .285 .347 .013 .147 .285 .069 .049 .159 r_peak,r_snr = 8.64586E-02 10.31288 Correlation Surface of oversamples image at 546 4646 .112 .124 .170 .177 .106 .035 .011 .010 .009 .133 .133 .242 .366 .309 .142 .048 .021 .013 .117 .100 .259 .564 .622 .355 .128 .044 .017 .070 .049 .216 .669 .907 .573 .200 .050 .010 .021 .011 .138 .625 1.000 .659 .194 .025 .000 .000 .000 .068 .484 .893 .606 .140 .003 .006 .006 .005 .030 .342 .730 .544 .119 .000 .021 .020 .010 .014 .244 .606 .541 .159 .001 .026 .036 .014 .012 .214 .573 .617 .282 .028 .013 546 .000 4646 -2.563 10.31289 .016345 .621437 -.054394 Correlation Surface at 646 4646 .004 .039 .013 .000 .001 .018 .028 .086 .075 .001 .118 .080 .025 .016 .005 .020 .153 .230 .010 .133 .111 .144 .151 .035 .035 .225 .186 .018 .023 .014 .207 .692 .353 .142 .345 .141 .021 .002 .020 .099 1.000 .666 .203 .283 .113 .022 .003 .016 .040 .632 .435 .107 .181 .055 .008 .006 .002 .035 .357 .284 .121 .243 .060 .004 .008 .000 .081 .331 .326 .226 .420 .098 .028 .002 .005 .158 .346 .249 .165 .355 .217 r_peak,r_snr = .113565 10.11298 Correlation Surface of oversamples image at 646 4646 .135 .145 .201 .228 .169 .062 .005 .000 .025 .075 .121 .267 .415 .398 .215 .054 .009 .025 .011 .052 .251 .567 .683 .478 .188 .051 .041 .003 .006 .173 .606 .905 .746 .365 .127 .072 .020 .000 .103 .554 1.000 .918 .492 .189 .102 .017 .001 .077 .484 .987 .976 .543 .212 .111 .007 .001 .081 .428 .903 .944 .541 .209 .108 .006 .005 .100 .393 .791 .862 .520 .212 .115 .012 .009 .123 .383 .690 .754 .486 .225 .142 646 9.219 4646 8.344 10.11299 .015200 .066408 -.008282 Correlation Surface at 746 4646 .083 .075 .004 .205 .312 .151 .231 .056 .008 .022 .020 .134 .310 .215 .182 .176 .038 .034 .161 .273 .405 .333 .144 .149 .006 .006 .353 .660 .351 .385 .168 .042 .071 .062 .250 1.000 .276 .276 .191 .014 r_peak,r_snr = 7.75978E-02 8.30328 Correlation Surface of oversamples image at 746 4646 1.846 1.136 1.161 2.556 4.000 3.512 1.447 1.082 1.053 1.847 2.727 2.822 1.260 1.107 .975 1.178 1.324 1.454 1.249 1.227 1.017 .801 .508 .474 1.140 1.288 1.143 .745 .232 .082 746 -8.875 4646 10.125 8.30328 .024966 .074046 -.008483 Correlation Surface at 846 4646 .045 .000 .026 .004 .029 .005 .022 .015 .063 .090 .027 .041 .003 .079 .069 .007 .037 .097 .049 .152 .007 .018 .227 .174 .056 .116 .208 .018 .119 .092 .329 .720 .303 .167 .207 .287 .004 .009 .014 .312 1.000 .562 .360 .378 .196 .000 .003 .001 .154 .680 .541 .314 .436 .193 .005 .139 .101 .168 .435 .333 .171 .262 .187 .010 .208 .311 .261 .342 .260 .179 .234 .149 .049 .140 .204 .219 .298 .191 .110 .184 .096 r_peak,r_snr = .1132463 12.50558 Correlation Surface of oversamples image at 846 4646 .003 .015 .145 .304 .323 .215 .099 .038 .034 .009 .058 .254 .485 .521 .376 .211 .112 .096 .056 .138 .401 .694 .727 .527 .316 .200 .182 .104 .219 .527 .872 .908 .651 .399 .282 .269 .094 .234 .553 .935 1.000 .719 .440 .332 .335 .043 .174 .464 .850 .960 .693 .414 .317 .336 .010 .106 .343 .687 .822 .589 .326 .235 .257 .005 .076 .267 .548 .674 .472 .228 .135 .144 .019 .086 .247 .465 .554 .379 .161 .068 .057 846 3.313 4646 -2.438 12.50559 .023914 .088934 -.016294 Correlation Surface at 946 4646 .043 .285 .263 .007 .204 .009 .021 .208 .261 .022 .068 .112 .007 .276 .026 .022 .045 .191 .000 .009 .012 .061 .564 .130 .022 .007 .055 .075 .009 .002 .216 .833 .274 .005 .065 .031 .035 .013 .007 .360 1.000 .367 .001 .177 .041 .033 .026 .037 .231 .932 .365 .002 .143 .020 .030 .082 .062 .088 .656 .341 .005 .001 .018 .002 .186 .116 .074 .548 .444 .055 .032 .017 .032 .256 .226 .105 .497 .454 .105 .001 .067 r_peak,r_snr = 9.40623E-02 12.25427 Correlation Surface of oversamples image at 946 4646 .005 .014 .155 .466 .730 .685 .376 .085 .001 .001 .035 .231 .569 .801 .719 .395 .079 .002 .005 .034 .264 .645 .875 .766 .414 .070 .013 .015 .024 .268 .696 .950 .821 .428 .062 .026 .018 .019 .266 .720 1.000 .860 .436 .065 .023 .007 .026 .262 .701 .988 .854 .437 .082 .006 .000 .050 .262 .641 .915 .807 .431 .111 .001 .009 .093 .281 .578 .818 .753 .434 .147 .026 .006 .117 .299 .515 .696 .669 .419 .159 .047 946 .094 4646 2.656 12.25428 .024283 .803734 -.018890 Correlation Surface at 1046 4646 .028 .017 .017 .189 .304 .133 .012 .004 .004 .005 .003 .014 .206 .346 .112 .004 .008 .002 .004 .000 .023 .277 .543 .190 .009 .021 .006 .001 .001 .034 .421 .886 .320 .015 .015 .011 .001 .006 .032 .378 1.000 .415 .030 .003 .003 .001 .007 .009 .189 .644 .305 .024 .000 .000 .008 .003 .002 .126 .386 .123 .000 .004 .004 .039 .025 .016 .176 .362 .069 .011 .033 .024 .024 .048 .052 .174 .335 .097 .004 .028 .014 r_peak,r_snr = .2127104 22.41587 Correlation Surface of oversamples image at 1046 4646 .040 .137 .279 .403 .438 .349 .184 .057 .016 .057 .179 .358 .513 .545 .418 .211 .064 .018 .063 .212 .452 .667 .702 .510 .236 .064 .014 .052 .208 .503 .808 .880 .626 .268 .061 .008 .032 .167 .473 .851 1.000 .739 .311 .063 .005 .015 .111 .375 .764 .988 .783 .343 .069 .004 .005 .062 .257 .593 .843 .722 .335 .067 .003 .001 .030 .163 .418 .636 .577 .280 .054 .001 .000 .018 .113 .302 .461 .419 .203 .035 .000 1046 -.031 4646 -.281 22.41587 .005717 .033550 -.002881 Correlation Surface at 1146 4646 .027 .000 .003 .007 .038 .034 .008 .003 .026 .001 .009 .004 .084 .282 .150 .030 .002 .007 .045 .044 .007 .143 .583 .390 .110 .034 .017 .092 .094 .019 .164 .836 .604 .134 .041 .044 .081 .091 .026 .211 1.000 .661 .140 .034 .043 .058 .040 .026 .197 .634 .346 .044 .011 .014 .048 .003 .006 .165 .357 .104 .007 .019 .000 .092 .000 .008 .097 .335 .045 .021 .043 .001 .061 .000 .020 .050 .336 .075 .004 .000 .001 r_peak,r_snr = .1486869 16.75322 Correlation Surface of oversamples image at 1146 4646 .005 .012 .099 .356 .569 .475 .222 .050 .000 .017 .018 .111 .404 .678 .604 .311 .090 .008 .025 .021 .123 .463 .801 .743 .410 .142 .024 .030 .026 .151 .552 .931 .863 .497 .193 .048 .038 .040 .191 .630 1.000 .889 .508 .208 .062 .055 .068 .233 .643 .948 .799 .429 .163 .044 .071 .101 .257 .587 .796 .635 .306 .085 .009 .067 .112 .251 .502 .628 .468 .191 .026 .002 .034 .086 .210 .409 .488 .335 .111 .003 .028 1146 .125 4646 .000 16.75323 .012011 .059373 .006161 Correlation Surface at 1246 4646 .035 .023 .036 .170 .367 .309 .112 .071 .001 .001 .023 .067 .133 .413 .457 .205 .078 .008 .009 .002 .015 .072 .380 .619 .185 .029 .030 .006 .006 .050 .266 .705 .767 .137 .000 .022 .002 .006 .095 .410 1.000 .627 .047 .083 .124 r_peak,r_snr = .1029965 9.87829 Correlation Surface of oversamples image at 1246 4646 .010 .000 .030 .133 .351 .589 .593 .359 .151 .003 .006 .071 .243 .512 .706 .603 .303 .093 .006 .044 .181 .455 .772 .868 .616 .252 .044 .034 .106 .296 .648 .984 .968 .582 .187 .010 .045 .119 .303 .665 1.000 .933 .502 .126 .000 .021 .066 .204 .515 .836 .788 .408 .091 .001 .000 .014 .097 .336 .617 .608 .315 .070 .000 .011 .000 .037 .206 .440 .461 .247 .057 .000 .045 .008 .010 .118 .307 .361 .209 .049 .000 1246 -.813 4646 13.750 9.87829 .036783 .069472 .006530 Correlation Surface at 1346 4646 .025 .032 .096 .110 .262 .357 .000 .108 .067 .047 .022 .090 .035 .161 .394 .019 .101 .065 .006 .014 .041 .003 .036 .122 .054 .006 .001 .039 .060 .093 .114 .303 .120 .033 .163 .152 .165 .127 .078 .280 1.000 .624 .105 .256 .299 .214 .169 .012 .174 .901 .803 .275 .298 .200 .096 .134 .003 .119 .525 .334 .235 .208 .103 .042 .039 .008 .052 .328 .133 .089 .056 .046 .071 .007 .064 .003 .087 .102 .038 .001 .014 r_peak,r_snr = 8.37253E-02 11.70818 Correlation Surface of oversamples image at 1346 4646 .090 .122 .181 .202 .170 .117 .078 .059 .027 .169 .235 .355 .428 .364 .219 .099 .046 .022 .255 .344 .530 .707 .664 .425 .194 .079 .034 .282 .359 .584 .877 .935 .674 .366 .170 .075 .217 .259 .476 .830 1.000 .817 .530 .293 .139 .115 .132 .307 .643 .855 .759 .548 .349 .182 .046 .057 .189 .474 .652 .572 .422 .300 .180 .016 .026 .133 .372 .486 .379 .262 .206 .151 .004 .012 .094 .285 .347 .233 .146 .129 .117 1346 -.063 4646 -.656 11.70818 .044351 .076457 -.020957 Correlation Surface at 1446 4646 .522 .143 .190 .399 .488 .202 .174 .304 .272 .415 .169 .166 .273 .374 .286 .272 .187 .079 .341 .297 .404 .507 .454 .304 .254 .176 .023 .318 .268 .542 .958 .822 .323 .146 .166 .089 .292 .181 .389 .775 1.000 .474 .119 .080 .113 .155 .095 .229 .391 .656 .490 .078 .006 .066 .018 .023 .153 .336 .493 .343 .057 .001 .022 .019 .028 .206 .371 .409 .145 .032 .002 .000 .145 .172 .360 .415 .353 .078 .000 .025 .014 r_peak,r_snr = .1248584 6.02 Correlation Surface of oversamples image at 1446 4646 .050 .106 .162 .196 .184 .132 .089 .095 .184 .068 .147 .246 .318 .314 .232 .151 .125 .173 .082 .199 .380 .536 .555 .429 .276 .187 .173 .088 .237 .504 .760 .829 .679 .453 .286 .199 .089 .244 .550 .874 1.000 .876 .619 .392 .235 .081 .215 .489 .811 .977 .918 .700 .455 .252 .063 .169 .377 .637 .813 .824 .682 .462 .241 .046 .139 .299 .497 .659 .713 .631 .437 .216 .035 .132 .283 .450 .590 .651 .585 .401 .193 1446 -.469 4646 -.281 6.02000 .058227 .117789 -.048761 Correlation Surface at 1546 4646 .038 .021 .028 .297 .444 .424 .616 .386 .078 .035 .014 .048 .365 .586 .458 .468 .378 .122 .029 .006 .064 .382 .650 .538 .488 .336 .144 .011 .002 .054 .427 .842 .621 .449 .277 .147 .005 .009 .088 .427 1.000 .780 .397 .203 .170 .025 .034 .108 .356 .781 .795 .453 .214 .239 .022 .015 .048 .291 .565 .614 .467 .295 .329 .023 .026 .043 .278 .473 .418 .414 .334 .369 .033 .077 .106 .295 .431 .328 .377 .295 .241 r_peak,r_snr = .1765863 6.71531 Correlation Surface of oversamples image at 1546 4646 .226 .369 .491 .548 .567 .581 .566 .471 .315 .210 .390 .579 .670 .675 .665 .627 .510 .336 .193 .393 .655 .819 .826 .772 .679 .519 .333 .177 .368 .668 .914 .959 .876 .724 .516 .316 .158 .316 .605 .895 1.000 .931 .753 .514 .304 .140 .263 .504 .779 .928 .904 .745 .514 .310 .136 .236 .423 .644 .793 .809 .698 .510 .332 .154 .253 .395 .545 .650 .681 .626 .494 .353 .181 .292 .403 .477 .518 .544 .538 .464 .358 1546 -.500 4646 9.406 6.71531 .018333 .082231 -.009686 Correlation Surface at 1746 4646 .000 .010 .015 .150 .510 .689 .465 .180 .088 .003 .024 .020 .161 .444 .581 .427 .256 .202 .043 .042 .024 .176 .511 .684 .445 .385 .330 .020 .012 .011 .248 .825 .957 .575 .327 .236 .003 .000 .004 .251 1.000 .946 .537 .209 .136 .001 .000 .036 .302 .878 .742 .400 .189 .143 .003 .019 .133 .450 .748 .594 .347 .163 .113 .000 .026 .148 .483 .653 .517 .361 .130 .049 .000 .003 .071 .402 .598 .486 .380 .152 .068 r_peak,r_snr = .1724856 8.21145 Correlation Surface of oversamples image at 1746 4646 .055 .149 .298 .489 .672 .748 .656 .482 .362 .051 .180 .391 .627 .789 .801 .665 .469 .318 .047 .209 .495 .781 .889 .783 .582 .388 .244 .049 .241 .583 .903 .958 .749 .492 .306 .191 .069 .290 .657 .971 1.000 .755 .466 .279 .184 .115 .356 .706 .974 .991 .774 .492 .298 .204 .178 .425 .731 .935 .934 .759 .516 .324 .219 .234 .480 .742 .886 .861 .711 .513 .339 .224 .252 .492 .730 .837 .793 .660 .502 .355 .235 1746 .281 4646 -7.344 8.21145 .015932 .138448 .013868 Correlation Surface at 1846 4646 .059 .059 .065 .038 .156 .004 .058 .051 .093 .027 .037 .056 .001 .018 .001 .031 .027 .276 .194 .061 .068 .191 .164 .042 .076 .083 .233 .643 .330 .213 .511 .743 .075 .023 .045 .002 .592 .678 .509 .555 1.000 .309 .037 .004 .085 .353 .527 .454 .298 .502 .322 .068 .007 .072 .186 .196 .127 .035 .072 .069 .002 .000 .042 .099 .036 .000 .013 .001 .056 .009 .001 .005 .008 .000 .054 .067 .001 .121 .133 .031 .023 r_peak,r_snr = 8.84874E-02 9.38331 Correlation Surface of oversamples image at 1846 4646 .119 .106 .067 .037 .021 .018 .030 .060 .081 .124 .136 .150 .178 .182 .145 .107 .092 .086 .208 .221 .270 .405 .489 .375 .180 .065 .030 .376 .351 .386 .612 .836 .693 .296 .051 .002 .533 .446 .427 .658 1.000 .966 .486 .091 .001 .559 .434 .360 .510 .843 .980 .656 .213 .031 .443 .308 .218 .268 .468 .667 .612 .335 .139 .263 .141 .075 .072 .133 .251 .329 .282 .204 .120 .037 .007 .002 .005 .029 .080 .119 .138 1846 -9.219 4646 -4.344 9.38331 .038690 .091251 -.022577 Correlation Surface at 1946 4646 .194 .385 .435 .034 .067 .086 .001 .028 .114 .170 .720 .761 .089 .000 .110 .253 .027 .048 .241 .580 .108 .002 .069 .285 .076 .005 .227 .732 .052 .048 .001 .072 .169 .076 .225 1.000 .051 .133 .060 .002 .010 .140 .048 .350 .000 .194 .131 .016 .072 .096 .000 .002 .063 .240 .085 .014 .132 .079 .014 .064 .148 .313 .179 .009 .000 .042 .016 .045 .139 .213 .215 .011 r_peak,r_snr = 7.49304E-02 9.28589 Correlation Surface of oversamples image at 1946 4646 .062 .048 .057 .132 .242 .222 .063 .005 .082 .034 .032 .054 .142 .250 .182 .014 .079 .269 .005 .028 .119 .322 .466 .267 .005 .181 .476 .009 .013 .194 .601 .827 .467 .020 .198 .548 .050 .001 .198 .713 1.000 .603 .052 .141 .481 .065 .001 .130 .527 .748 .469 .050 .094 .371 .047 .004 .047 .212 .285 .158 .005 .106 .318 .029 .006 .004 .023 .020 .001 .031 .183 .339 .024 .010 .005 .009 .031 .078 .160 .304 .411 1946 -12.031 4646 -1.031 9.28589 .015639 .071844 -.000868 Correlation Surface at 2046 4646 .005 .017 .017 .216 .376 .240 .020 .001 .007 .002 .094 .025 .059 .224 .261 .077 .005 .000 .025 .111 .026 .066 .247 .161 .043 .000 .013 .040 .023 .030 .277 .516 .066 .008 .068 .056 .060 .037 .123 .698 1.000 .155 .008 .060 .088 .056 .067 .165 .557 .713 .163 .004 .003 .064 .044 .031 .049 .141 .203 .056 .000 .004 .057 .104 .105 .053 .096 .151 .059 .002 .007 .023 .167 .214 .107 .197 .182 .062 .003 .002 .002 r_peak,r_snr = .1245029 14.54386 Correlation Surface of oversamples image at 2046 4646 .000 .000 .101 .480 .681 .431 .131 .008 .015 .001 .019 .203 .599 .694 .339 .044 .011 .093 .008 .066 .355 .792 .804 .349 .023 .042 .153 .031 .128 .495 .976 .963 .447 .045 .027 .119 .059 .159 .512 .968 1.000 .542 .106 .001 .040 .046 .118 .367 .709 .790 .498 .153 .012 .002 .008 .047 .195 .418 .510 .367 .153 .037 .006 .003 .006 .094 .257 .344 .278 .141 .053 .018 .013 .000 .063 .217 .310 .270 .149 .062 .025 2046 -.250 4646 -2.719 14.54386 .014664 .039456 .001376 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .056 .049 .005 .170 .000 .017 .001 .073 .254 .003 .007 .003 .193 .091 .007 .013 .141 .217 .054 .030 .050 .232 .131 .007 .064 .368 .434 .004 .017 .015 .458 .566 .052 .148 .391 .186 .045 .002 .009 .261 1.000 .394 .115 .099 .007 .187 .016 .001 .091 .646 .560 .060 .000 .000 .318 .076 .028 .030 .164 .285 .022 .022 .001 .474 .480 .037 .010 .002 .104 .027 .059 .002 .715 1.133 .484 .054 .064 .004 .004 .022 .010 r_peak,r_snr = 8.49870E-02 10.38656 Correlation Surface of oversamples image at 146 5046 .103 .266 .384 .298 .106 .009 .000 .018 .086 .104 .317 .524 .456 .204 .037 .005 .044 .199 .042 .234 .587 .702 .467 .169 .042 .073 .256 .003 .094 .467 .835 .810 .458 .156 .098 .199 .001 .024 .286 .749 1.000 .780 .337 .123 .103 .002 .016 .180 .573 .964 .962 .521 .164 .051 .028 .036 .131 .394 .759 .916 .603 .205 .034 .050 .055 .086 .216 .484 .717 .579 .229 .034 .023 .033 .029 .066 .228 .496 .544 .286 .061 146 -.313 5046 1.844 10.38657 .038653 .114970 -.040905 Correlation Surface at 246 5046 .000 .014 .015 .016 .017 .212 .122 .098 .194 .000 .008 .010 .030 .058 .005 .016 .000 .000 .005 .062 .118 .000 .110 .003 .031 .271 .287 .029 .063 .063 .006 .384 .111 .142 .691 .757 .067 .013 .001 .115 1.000 .639 .224 .563 .821 .074 .011 .070 .211 .660 .326 .023 .178 .481 .016 .011 .070 .151 .223 .082 .000 .057 .245 .003 .002 .062 .320 .314 .333 .129 .081 .179 .000 .015 .041 .581 .625 .479 .283 .069 .135 r_peak,r_snr = 7.96916E-02 8.42117 Correlation Surface of oversamples image at 246 5046 .006 .036 .222 .320 .205 .080 .054 .101 .222 .007 .033 .237 .384 .275 .105 .042 .065 .203 .000 .060 .311 .541 .463 .218 .073 .056 .173 .020 .139 .456 .788 .781 .450 .164 .075 .153 .095 .261 .607 .971 1.000 .624 .235 .083 .120 .180 .354 .648 .911 .860 .481 .147 .035 .057 .210 .349 .554 .677 .527 .198 .020 .000 .008 .188 .280 .421 .469 .303 .063 .001 .017 .000 .171 .226 .337 .382 .257 .064 .000 .006 .001 246 .281 5046 .094 8.42117 .028706 .060709 .003972 Correlation Surface at 346 5046 .019 .015 .050 .032 .291 .036 .016 .006 .004 .024 .007 .069 .010 .297 .018 .080 .037 .001 .012 .010 .057 .020 .406 .033 .168 .110 .002 .039 .003 .050 .071 .645 .087 .127 .115 .013 .059 .003 .060 .115 1.000 .226 .043 .074 .010 .000 .056 .088 .064 .933 .387 .006 .056 .002 .009 .111 .075 .015 .402 .252 .008 .067 .002 .000 .079 .061 .020 .171 .078 .035 .090 .006 .000 .077 .081 .046 .192 .037 .038 .076 .012 r_peak,r_snr = .1801004 20.07008 Correlation Surface of oversamples image at 346 5046 .021 .001 .127 .471 .630 .345 .040 .029 .153 .018 .004 .161 .562 .763 .441 .067 .015 .114 .027 .002 .173 .629 .894 .565 .114 .003 .069 .043 .000 .162 .649 .989 .699 .184 .001 .035 .057 .000 .139 .607 1.000 .798 .266 .011 .015 .061 .001 .100 .483 .867 .776 .306 .023 .009 .059 .003 .057 .312 .617 .614 .266 .018 .016 .059 .004 .028 .171 .364 .395 .175 .005 .042 .066 .003 .020 .097 .197 .218 .089 .000 .083 346 .063 5046 .344 20.07008 .004085 .060148 -.004993 Correlation Surface at 446 5046 .004 .002 .021 .190 .052 .001 .006 .011 .072 .003 .001 .087 .180 .037 .003 .055 .003 .117 .000 .005 .121 .300 .097 .008 .119 .050 .087 .011 .031 .096 .620 .574 .088 .007 .002 .066 .007 .051 .033 .538 1.000 .448 .123 .108 .072 .005 .025 .006 .194 .528 .292 .146 .225 .088 .038 .000 .030 .056 .116 .065 .014 .091 .090 .026 .006 .136 .079 .003 .006 .003 .025 .085 .011 .048 .311 .209 .004 .000 .001 .005 .076 r_peak,r_snr = .1211954 16.56542 Correlation Surface of oversamples image at 446 5046 .002 .121 .288 .257 .077 .000 .016 .019 .025 .001 .134 .384 .457 .263 .070 .008 .001 .000 .005 .174 .532 .771 .635 .357 .182 .104 .062 .010 .190 .603 .991 .985 .731 .516 .379 .279 .005 .139 .493 .902 1.000 .843 .687 .588 .497 .000 .061 .283 .580 .679 .591 .516 .506 .502 .004 .014 .116 .269 .312 .251 .219 .249 .305 .003 .004 .044 .110 .111 .070 .057 .079 .122 .001 .013 .037 .062 .044 .017 .013 .026 .043 446 .813 5046 8.719 16.56542 .028973 .037101 -.014749 Correlation Surface at 546 5046 .024 .012 .026 .068 .167 .176 .058 .021 .023 .070 .054 .019 .142 .157 .025 .000 .000 .009 .103 .116 .000 .168 .267 .007 .005 .002 .001 .046 .046 .000 .223 .756 .196 .018 .000 .042 .003 .013 .029 .258 1.000 .425 .081 .005 .093 .068 .067 .042 .143 .445 .175 .031 .013 .020 .125 .012 .006 .030 .210 .044 .002 .011 .010 .153 .011 .016 .009 .206 .082 .020 .003 .014 .036 .017 .000 .009 .069 .094 .001 .031 .000 r_peak,r_snr = .1329884 23.31098 Correlation Surface of oversamples image at 546 5046 .003 .045 .127 .188 .121 .011 .020 .059 .041 .000 .042 .161 .287 .233 .054 .003 .041 .034 .001 .064 .252 .481 .473 .211 .024 .002 .005 .010 .107 .374 .725 .792 .478 .156 .029 .008 .040 .156 .465 .877 1.000 .680 .300 .104 .050 .094 .203 .487 .847 .949 .662 .316 .132 .079 .132 .213 .429 .675 .712 .483 .227 .095 .065 .097 .155 .307 .471 .475 .307 .129 .043 .030 .025 .063 .178 .320 .343 .220 .076 .012 .005 546 -.125 5046 -.344 23.31099 .011153 .031095 -.000917 Correlation Surface at 646 5046 .066 .002 .056 .002 .019 .034 .053 .022 .015 .131 .002 .282 .245 .003 .002 .033 .002 .067 .001 .127 .538 .608 .277 .001 .012 .064 .058 .075 .313 .722 .615 .760 .111 .020 .041 .003 .021 .058 .493 .725 1.000 .284 .017 .003 .007 .001 .024 .070 .452 .677 .124 .001 .004 .074 .001 .032 .002 .145 .362 .042 .016 .030 .015 .095 .030 .009 .139 .458 .106 .112 .192 .041 .288 .380 .150 .175 .504 .154 .099 .287 .244 r_peak,r_snr = 7.96256E-02 7.50556 Correlation Surface of oversamples image at 646 5046 .389 .392 .324 .218 .084 .012 .003 .020 .069 .518 .538 .494 .418 .245 .069 .006 .002 .014 .598 .630 .634 .637 .509 .237 .044 .001 .000 .577 .621 .683 .802 .818 .550 .186 .012 .005 .430 .499 .606 .813 1.000 .866 .424 .065 .003 .217 .308 .425 .632 .885 .909 .564 .142 .000 .061 .140 .234 .371 .559 .635 .461 .161 .010 .009 .055 .124 .194 .286 .339 .273 .125 .026 .004 .036 .092 .133 .174 .202 .168 .096 .048 646 .156 5046 -10.844 7.50556 .053222 .195637 -.014998 Correlation Surface at 746 5046 .005 .326 .760 .325 .983 .575 .323 .286 .233 .001 .207 .799 .631 1.000 .621 .477 .455 .130 .001 .034 .464 .733 .521 .096 .038 .010 .003 .016 .009 .384 .336 .058 .043 .025 .009 .002 .027 .091 .370 .068 .048 .367 .152 .008 .028 .250 .297 .308 .054 .023 .197 .310 .003 .025 r_peak,r_snr = 6.75714E-02 6.67531 Correlation Surface of oversamples image at 746 5046 .590 .058 .106 .757 1.349 1.221 .809 .375 .300 .000 .390 1.418 1.886 1.238 .485 .077 .006 .185 1.058 2.304 2.420 1.232 .288 .001 .276 .947 2.170 3.425 3.204 1.590 .384 .007 746 -8.313 5046 -10.188 6.67531 .386358 .684923 .419918 Correlation Surface at 846 5046 .075 .073 .075 .002 .001 .001 .097 .334 .140 .010 .006 .144 .092 .514 .310 .003 .019 .072 .018 .211 .247 .062 .406 .064 .021 .167 .192 .238 1.000 .239 .160 .391 .321 .032 .523 .049 .123 .450 .396 .037 .006 .048 .023 .342 .181 .001 .000 .035 .083 .304 .010 .157 .232 .091 r_peak,r_snr = 7.99980E-02 8.92376 Correlation Surface of oversamples image at 846 5046 .006 .044 .169 .255 .183 .022 .069 .398 .606 .052 .012 .180 .367 .337 .118 .001 .152 .331 .160 .001 .162 .494 .546 .286 .035 .021 .113 .334 .035 .134 .636 .803 .478 .111 .000 .030 .524 .111 .090 .712 1.000 .604 .146 .003 .012 .662 .207 .033 .600 .937 .548 .105 .000 .017 .724 .312 .000 .319 .579 .303 .026 .015 .045 .698 .375 .026 .082 .191 .065 .003 .076 .104 .593 .340 .056 .006 .023 .000 .061 .152 .175 846 12.938 5046 -10.844 8.92376 .020935 .048268 -.000660 Correlation Surface at 946 5046 .000 .060 .052 .075 .231 .000 .107 .144 .077 .020 .239 .358 .142 .166 .062 .027 .126 .046 .001 .053 .239 .200 .317 .250 .014 .106 .061 .055 .015 .022 .256 .975 .430 .016 .117 .053 .011 .008 .003 .229 1.000 .277 .004 .124 .049 .006 .004 .013 .107 .269 .024 .081 .057 .038 .007 .008 .009 .013 .028 .019 .016 .018 .005 .034 .010 .000 .009 .002 .201 .164 .002 .002 .012 .000 .000 .004 .008 .231 .399 .033 .011 r_peak,r_snr = 9.42976E-02 10.51976 Correlation Surface of oversamples image at 946 5046 .306 .231 .142 .114 .136 .136 .060 .000 .090 .197 .188 .182 .235 .305 .295 .179 .033 .016 .092 .143 .241 .452 .613 .525 .301 .097 .001 .046 .119 .297 .669 .927 .734 .373 .133 .015 .041 .114 .299 .712 1.000 .755 .339 .108 .019 .050 .106 .235 .546 .778 .563 .207 .043 .005 .059 .089 .151 .318 .454 .312 .080 .003 .002 .057 .071 .088 .156 .216 .136 .017 .006 .019 .044 .057 .058 .083 .109 .066 .005 .010 .025 946 .031 5046 -.656 10.51976 .016758 .057271 .006505 Correlation Surface at 1046 5046 .004 .011 .353 .885 .288 .020 .009 .036 .253 .022 .002 .228 .610 .159 .018 .016 .050 .138 .008 .024 .145 .515 .158 .019 .002 .066 .109 .008 .006 .163 .778 .567 .140 .018 .035 .149 .004 .002 .190 .782 1.000 .404 .068 .001 .094 .000 .017 .129 .355 .609 .325 .063 .011 .011 .017 .158 .086 .096 .191 .105 .045 .015 .002 .024 .494 .294 .168 .282 .164 .115 .031 .004 .000 .343 .534 .364 .536 .394 .182 .069 .005 r_peak,r_snr = .1020339 10.51292 Correlation Surface of oversamples image at 1046 5046 .021 .126 .308 .425 .350 .207 .116 .060 .027 .016 .127 .368 .563 .495 .300 .160 .082 .036 .013 .125 .426 .746 .731 .462 .235 .115 .053 .011 .106 .417 .853 .950 .643 .318 .146 .070 .011 .080 .334 .786 1.000 .741 .363 .149 .069 .015 .059 .226 .585 .850 .695 .340 .120 .051 .021 .036 .120 .348 .585 .528 .254 .071 .025 .031 .018 .044 .166 .342 .348 .161 .029 .007 .057 .014 .015 .075 .201 .236 .110 .013 .001 1046 .406 5046 .813 10.51292 .059763 .062705 -.027164 Correlation Surface at 1146 5046 .048 .080 .009 .042 .215 .180 .040 .012 .104 .040 .058 .020 .092 .358 .236 .080 .000 .076 .003 .008 .007 .124 .517 .260 .051 .012 .025 .002 .003 .006 .114 .727 .359 .021 .001 .028 .001 .009 .024 .165 1.000 .495 .015 .007 .074 .001 .015 .041 .265 .994 .447 .004 .033 .090 .012 .028 .037 .177 .539 .294 .005 .031 .061 .029 .038 .053 .074 .190 .162 .027 .001 .020 .007 .042 .065 .039 .116 .123 .065 .016 .001 r_peak,r_snr = .1626217 22.96976 Correlation Surface of oversamples image at 1146 5046 .037 .059 .135 .314 .449 .320 .097 .008 .000 .016 .044 .146 .390 .574 .409 .124 .008 .002 .005 .034 .164 .485 .752 .572 .197 .019 .002 .002 .033 .191 .579 .925 .764 .310 .046 .000 .002 .039 .220 .631 1.000 .880 .412 .082 .001 .005 .048 .229 .597 .906 .825 .432 .102 .001 .013 .055 .202 .470 .667 .615 .357 .094 .000 .025 .057 .150 .302 .402 .378 .248 .075 .000 .035 .050 .090 .155 .203 .203 .157 .061 .001 1146 .156 5046 .500 22.96976 .007090 .162156 .005607 Correlation Surface at 1246 5046 .145 .059 .038 .196 .224 .029 .011 .027 .002 .153 .146 .011 .235 .414 .057 .011 .029 .000 .062 .227 .000 .194 .690 .321 .000 .018 .000 .015 .150 .001 .291 .884 .485 .002 .026 .000 .005 .020 .015 .576 1.000 .293 .013 .051 .000 .000 .000 .009 .338 .909 .257 .007 .016 .000 .018 .000 .081 .074 .631 .234 .058 .000 .021 .076 .007 .002 .135 .547 .176 .018 .001 .110 .063 .007 .001 .241 .748 .359 .036 .000 .016 r_peak,r_snr = .1059892 10.78683 Correlation Surface of oversamples image at 1246 5046 .456 .170 .074 .935 1.541 1.164 .771 .619 .428 .383 .103 .119 .984 1.507 1.051 .562 .366 .286 .199 .004 .347 1.371 1.841 1.177 .431 .122 .071 .084 .050 .779 2.109 2.781 1.946 .689 .106 .031 1246 .063 5046 .875 10.78683 .031385 .886001 .083602 Correlation Surface at 1346 5046 .000 .076 .283 .411 .452 .280 .055 .013 .005 .001 .073 .219 .328 .313 .186 .082 .040 .001 .016 .071 .212 .401 .378 .198 .125 .090 .001 .038 .074 .205 .635 .781 .404 .179 .093 .002 .041 .112 .229 .619 1.000 .582 .180 .073 .004 .015 .104 .241 .499 .877 .561 .162 .069 .003 .001 .039 .175 .464 .779 .482 .163 .065 .003 .000 .055 .230 .447 .650 .401 .210 .099 .007 .000 .093 .345 .564 .659 .392 .236 .110 .002 r_peak,r_snr = .2215965 10.18758 Correlation Surface of oversamples image at 1346 5046 .243 .312 .387 .432 .402 .294 .179 .117 .100 .289 .404 .516 .569 .513 .366 .218 .140 .127 .286 .465 .661 .766 .702 .506 .300 .184 .152 .233 .443 .720 .917 .899 .676 .407 .241 .174 .187 .369 .659 .929 1.000 .807 .504 .291 .190 .179 .310 .549 .829 .982 .861 .565 .323 .201 .204 .292 .472 .724 .913 .856 .591 .340 .212 .219 .291 .439 .666 .852 .822 .590 .349 .218 .189 .269 .418 .637 .802 .765 .557 .342 .214 1346 -.063 5046 -5.375 10.18758 .012499 .060471 -.009037 Correlation Surface at 1446 5046 .270 .358 .469 .582 .646 .571 .502 .561 .615 .266 .383 .457 .626 .743 .510 .337 .381 .547 .370 .406 .435 .619 .781 .616 .308 .245 .286 .373 .331 .384 .697 .805 .755 .405 .225 .166 .383 .330 .398 .807 1.000 .905 .521 .267 .178 .365 .331 .394 .652 .937 .947 .660 .404 .230 .318 .355 .408 .524 .713 .833 .754 .602 .322 .306 .379 .418 .528 .654 .736 .806 .733 .441 .272 .328 .365 .516 .602 .640 .745 .635 .365 r_peak,r_snr = .2410241 2.88884 Correlation Surface of oversamples image at 1446 5046 .450 .521 .632 .742 .765 .661 .498 .368 .302 .462 .573 .688 .784 .812 .735 .576 .421 .325 .482 .641 .783 .878 .901 .823 .659 .483 .365 .478 .653 .827 .952 .985 .901 .729 .549 .421 .440 .583 .759 .923 1.000 .939 .777 .612 .492 .388 .472 .610 .780 .905 .908 .796 .666 .566 .356 .384 .472 .608 .747 .822 .784 .702 .628 .362 .355 .405 .498 .620 .732 .759 .724 .677 .401 .378 .405 .463 .554 .665 .727 .730 .710 1446 -.531 5046 10.313 2.88884 .073894 .090595 -.033753 Correlation Surface at 1546 5046 .008 .001 .112 .479 .525 .254 .122 .012 .002 .000 .044 .201 .438 .418 .303 .177 .006 .021 .000 .063 .288 .467 .399 .383 .202 .000 .075 .002 .032 .246 .639 .619 .434 .131 .014 .117 .001 .028 .175 .853 1.000 .470 .051 .061 .191 .000 .061 .186 .835 .999 .370 .021 .087 .239 .007 .079 .180 .545 .584 .194 .012 .053 .144 .016 .058 .088 .273 .257 .095 .003 .035 .057 .017 .071 .070 .234 .177 .055 .002 .025 .041 r_peak,r_snr = .1718917 10.58685 Correlation Surface of oversamples image at 1546 5046 .101 .220 .354 .426 .412 .385 .395 .408 .342 .097 .227 .400 .527 .543 .500 .470 .445 .346 .094 .222 .434 .643 .721 .667 .575 .480 .334 .101 .218 .458 .748 .894 .830 .667 .496 .305 .126 .230 .475 .813 1.000 .918 .702 .482 .268 .169 .257 .476 .800 .980 .877 .644 .428 .227 .205 .278 .445 .694 .821 .710 .506 .335 .180 .206 .268 .381 .535 .600 .504 .353 .237 .134 .175 .222 .297 .381 .402 .330 .232 .159 .093 1546 .563 5046 10.688 10.58686 .026190 .076354 .011696 Correlation Surface at 1646 5046 .000 .023 .073 .053 .007 .043 .067 .150 .229 .010 .000 .008 .017 .025 .025 .021 .004 .034 .009 .027 .005 .231 .071 .000 .014 .039 .032 .082 .088 .057 .664 .652 .062 .006 .004 .003 .133 .005 .165 .817 1.000 .222 .025 .055 .123 .004 .167 .419 .949 .936 .346 .061 .016 .105 .057 .279 .444 .914 .865 .384 .090 .002 .014 .008 .014 .074 .268 .537 .396 .113 .015 .008 .140 .068 .000 .052 .079 .068 .087 .080 .020 r_peak,r_snr = 9.37000E-02 9.68829 Correlation Surface of oversamples image at 1646 5046 .015 .011 .227 .670 .896 .666 .258 .049 .014 .005 .023 .252 .685 .955 .804 .379 .090 .020 .003 .060 .291 .675 .934 .851 .479 .155 .039 .050 .138 .388 .745 .954 .853 .518 .215 .073 .122 .227 .510 .864 1.000 .807 .470 .228 .110 .166 .267 .550 .887 .966 .712 .387 .211 .137 .155 .223 .443 .718 .788 .583 .325 .203 .161 .094 .125 .241 .416 .504 .430 .283 .206 .182 .028 .041 .081 .159 .240 .268 .226 .190 .179 1646 .406 5046 .188 9.68829 .038988 .254988 -.024379 Correlation Surface at 1746 5046 .034 .000 .002 .021 .253 .212 .001 .034 .050 .003 .009 .019 .068 .306 .225 .003 .055 .027 .001 .013 .050 .186 .465 .214 .008 .056 .022 .019 .005 .076 .320 .765 .355 .017 .045 .010 .003 .011 .127 .472 1.000 .527 .018 .024 .000 .001 .007 .111 .471 .800 .432 .002 .038 .000 .053 .014 .027 .388 .576 .365 .022 .061 .050 .149 .095 .003 .280 .679 .419 .082 .023 .066 .119 .079 .021 .146 .589 .389 .064 .018 .018 r_peak,r_snr = .1438278 12.15266 Correlation Surface of oversamples image at 1746 5046 .026 .076 .168 .297 .411 .408 .274 .115 .018 .063 .154 .303 .478 .592 .547 .356 .150 .024 .106 .238 .447 .684 .810 .704 .428 .168 .025 .136 .298 .546 .827 .972 .808 .442 .145 .015 .149 .327 .579 .857 1.000 .808 .397 .098 .003 .147 .332 .563 .792 .903 .725 .344 .068 .000 .124 .313 .528 .698 .759 .618 .319 .072 .000 .077 .258 .488 .644 .670 .552 .331 .113 .008 .022 .168 .428 .639 .675 .558 .371 .176 .039 1746 .000 5046 .344 12.15267 .017614 .093969 .003184 Correlation Surface at 1846 5046 .004 .009 .002 .260 .665 .033 .048 .014 .043 .055 .000 .000 .338 .957 .046 .062 .000 .082 .008 .013 .003 .378 .845 .051 .158 .150 .004 .088 .100 .001 .389 .827 .051 .209 .452 .058 .177 .169 .001 .220 1.000 .092 .168 .289 .068 .147 .073 .001 .015 .415 .126 .092 .148 .047 .114 .023 .024 .004 .060 .094 .019 .071 .066 .059 .046 .000 .009 .063 .067 .007 .040 .052 .000 .000 .017 .001 .085 .056 .037 .036 .049 r_peak,r_snr = 9.55939E-02 11.58049 Correlation Surface of oversamples image at 1846 5046 .007 .012 .256 .746 .762 .251 .001 .076 .146 .004 .013 .273 .863 .960 .359 .006 .065 .129 .000 .024 .286 .865 1.000 .421 .017 .050 .123 .001 .057 .320 .774 .848 .366 .018 .048 .147 .002 .102 .374 .682 .631 .241 .006 .060 .199 .001 .117 .409 .643 .496 .149 .000 .085 .264 .002 .080 .375 .660 .515 .139 .000 .105 .309 1846 -.156 5046 .063 11.58050 .012891 .071972 -.011956 Correlation Surface at 1946 5046 .436 .056 .008 .019 .003 .000 .000 .000 .000 .454 .256 .087 .062 .012 .014 .014 .062 .106 .214 .398 .314 .373 .328 .280 .251 .192 .148 .145 .157 .338 .732 .835 .539 .388 .205 .128 .282 .007 .173 .691 1.000 .470 .241 .103 .093 .348 .002 .095 .479 .684 .364 .088 .047 .090 .310 .100 .152 .229 .207 .276 .127 .070 .079 r_peak,r_snr = .1080541 7.27158 Correlation Surface of oversamples image at 1946 5046 .168 .142 .166 .182 .137 .106 .123 .147 .139 .233 .262 .351 .412 .339 .248 .226 .228 .188 .264 .382 .571 .712 .635 .468 .376 .326 .231 .248 .453 .731 .954 .915 .691 .516 .404 .259 .194 .437 .735 .975 1.000 .794 .567 .412 .250 .144 .363 .589 .765 .843 .739 .534 .358 .201 .114 .274 .383 .456 .542 .561 .450 .290 .140 .108 .208 .221 .209 .262 .346 .350 .244 .112 .130 .182 .143 .089 .102 .179 .247 .218 .123 1946 3.750 5046 11.844 7.27158 .044015 .139449 -.003483 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .084 .001 .014 .164 .070 .157 .015 .363 .696 .012 .000 .127 .371 .081 .032 .003 .512 1.225 .005 .003 .007 .064 .036 .001 .001 .211 .601 .085 .000 .001 .058 .421 .102 .060 .056 .235 .359 .009 .016 .156 1.000 .512 .283 .000 .038 .275 .101 .003 .212 .895 .574 .397 .050 .027 .152 .242 .020 .145 .549 .451 .417 .201 .138 .146 .301 .087 .002 .117 .088 .140 .207 .162 .146 .309 .339 .151 .002 .007 .001 .077 .142 r_peak,r_snr = 7.12205E-02 9.10311 Correlation Surface of oversamples image at 146 5446 .002 .013 .056 .025 .001 .013 .012 .027 .103 .000 .047 .224 .289 .149 .048 .011 .005 .107 .011 .107 .425 .717 .601 .352 .164 .015 .065 .041 .145 .483 .921 .970 .716 .424 .106 .015 .058 .143 .412 .823 1.000 .869 .612 .235 .001 .046 .112 .297 .622 .849 .851 .705 .372 .040 .019 .067 .185 .430 .689 .814 .792 .536 .153 .002 .030 .101 .261 .509 .743 .859 .694 .305 .005 .004 .036 .106 .260 .517 .763 .725 .393 146 .375 5446 1.219 9.10311 .034386 .145041 -.012509 Correlation Surface at 246 5446 .197 .179 .279 .328 .348 .228 .199 .194 .305 .084 .130 .341 .266 .466 .309 .127 .121 .169 .000 .003 .130 .291 .302 .312 .259 .289 .280 .013 .273 .016 .396 .526 .444 .553 .567 .512 .002 .365 .248 .261 1.000 .819 .835 .730 .518 .004 .072 .205 .034 .739 .795 .403 .422 .439 .000 .004 .084 .030 .176 .290 .026 .050 .298 .002 .000 .001 .026 .097 .203 .003 .001 .194 .166 .051 .064 .069 .271 .358 .066 .013 .207 r_peak,r_snr = 8.79716E-02 7.8193 Correlation Surface of oversamples image at 246 5446 .116 .126 .210 .283 .288 .266 .215 .139 .090 .154 .145 .230 .365 .435 .440 .383 .265 .177 .255 .266 .357 .536 .658 .690 .632 .470 .322 .372 .480 .592 .761 .886 .923 .872 .697 .500 .423 .674 .841 .953 1.000 .988 .942 .816 .643 .353 .692 .913 .974 .903 .793 .730 .688 .648 .202 .504 .720 .770 .640 .461 .369 .378 .474 .082 .290 .451 .492 .371 .196 .104 .109 .229 .034 .179 .290 .310 .210 .073 .011 .007 .067 246 -2.313 5446 -3.031 7.81930 .066967 .118775 -.051548 Correlation Surface at 346 5446 .059 .090 .002 .378 .540 .026 .097 .080 .011 .104 .207 .007 .415 .665 .047 .085 .083 .009 .048 .181 .003 .472 .831 .046 .076 .085 .000 .021 .103 .002 .431 .983 .074 .096 .090 .002 .010 .057 .000 .350 1.000 .196 .083 .164 .059 .000 .028 .000 .277 .865 .255 .037 .190 .110 .001 .026 .002 .215 .640 .152 .020 .060 .028 .007 .044 .024 .190 .563 .102 .036 .018 .000 .004 .038 .039 .119 .482 .118 .045 .071 .002 r_peak,r_snr = .1648841 14.53229 Correlation Surface of oversamples image at 346 5446 .018 .056 .402 .765 .713 .335 .042 .011 .070 .014 .070 .442 .846 .810 .402 .067 .003 .056 .005 .096 .485 .914 .893 .456 .089 .000 .042 .000 .119 .518 .963 .957 .501 .105 .000 .034 .000 .124 .522 .981 1.000 .536 .116 .000 .034 .001 .099 .467 .918 .973 .537 .112 .000 .048 .006 .059 .360 .760 .842 .478 .089 .004 .080 .013 .031 .259 .585 .663 .375 .059 .013 .116 .014 .020 .198 .463 .520 .280 .034 .022 .133 346 -.250 5446 -.656 14.53229 .012801 .683603 -.068717 Correlation Surface at 446 5446 .001 .046 .179 .034 .176 .070 .000 .021 .016 .004 .009 .127 .030 .380 .272 .007 .002 .010 .000 .003 .032 .000 .426 .301 .001 .030 .011 .002 .003 .002 .147 .656 .228 .006 .066 .024 .000 .000 .002 .424 1.000 .127 .002 .012 .012 .000 .000 .003 .368 .908 .095 .001 .008 .028 .002 .000 .000 .123 .479 .142 .000 .066 .157 .041 .001 .001 .026 .194 .087 .001 .122 .234 .072 .001 .002 .004 .117 .025 .010 .109 .163 r_peak,r_snr = .1358643 17.73328 Correlation Surface of oversamples image at 446 5446 .028 .025 .000 .127 .483 .727 .572 .246 .047 .020 .004 .027 .249 .588 .678 .448 .181 .039 .011 .001 .098 .422 .730 .646 .329 .112 .028 .000 .022 .208 .624 .888 .649 .262 .075 .024 .006 .062 .313 .774 1.000 .679 .252 .068 .028 .026 .092 .342 .780 .999 .714 .297 .090 .037 .045 .098 .291 .643 .868 .721 .380 .141 .051 .046 .075 .193 .439 .663 .667 .447 .200 .064 .028 .035 .094 .252 .454 .544 .425 .206 .058 446 -.063 5446 .750 17.73328 .009635 .109790 .013025 Correlation Surface at 546 5446 .018 .004 .179 .000 .012 .002 .311 .391 .179 .000 .035 .035 .076 .119 .062 .000 .082 .017 .003 .055 .005 .520 .632 .411 .124 .006 .000 .007 .059 .011 .360 1.000 .941 .417 .009 .072 .019 .018 .072 .025 .519 .725 .473 .003 .075 .019 .000 .001 .023 .210 .318 .200 .057 .031 .008 .002 .079 .236 .197 .199 .094 .120 .191 .003 .003 .095 .221 .167 .165 .087 .073 .086 r_peak,r_snr = 7.63686E-02 11.40743 Correlation Surface of oversamples image at 546 5446 .005 .000 .006 .067 .131 .069 .004 .033 .191 .023 .059 .163 .304 .335 .175 .034 .001 .050 .013 .130 .402 .644 .623 .348 .115 .018 .001 .000 .082 .430 .828 .896 .577 .251 .090 .018 .045 .002 .207 .693 1.000 .792 .433 .225 .103 .169 .079 .013 .367 .891 .911 .615 .414 .280 .290 .293 .051 .106 .662 .913 .722 .571 .479 .271 .393 .179 .008 .412 .784 .701 .578 .543 .131 .261 .189 .003 .201 .538 .552 .454 .436 546 -13.406 5446 -9.406 11.40743 .182542 .150222 -.114274 Correlation Surface at 646 5446 .042 .155 .269 .174 .056 .043 .093 .017 .029 .124 .093 .081 .060 .052 .072 .021 .105 .203 .232 .142 .027 .180 .107 .254 .629 .749 .347 .050 .195 .194 .386 .813 1.000 .429 .066 .219 .286 .455 .633 .672 .217 .001 .169 .332 .662 .672 .409 .138 .017 .016 .106 .718 .696 .266 .222 .010 .007 .027 .391 .422 .178 .363 .247 r_peak,r_snr = .112728 7.36098 Correlation Surface of oversamples image at 646 5446 .219 .304 .403 .479 .559 .702 .861 .824 .604 .243 .363 .468 .529 .582 .693 .843 .821 .574 .260 .409 .558 .645 .681 .724 .818 .817 .601 .220 .377 .611 .804 .851 .797 .787 .784 .643 .116 .249 .554 .893 1.000 .867 .746 .714 .660 .021 .095 .375 .786 .976 .848 .668 .602 .611 .000 .026 .213 .572 .807 .752 .583 .507 .556 646 10.469 5446 11.719 7.36098 .048082 .090117 .010227 Correlation Surface at 746 5446 .004 .002 .132 .174 .005 .000 .049 .166 .000 .008 .001 .042 .109 .008 .005 .002 .051 .002 .006 .000 .005 .024 .081 .021 .022 .004 .004 .005 .034 .019 .070 .641 .175 .018 .052 .000 .001 .134 .024 .110 1.000 .231 .001 .031 .034 .001 .094 .039 .015 .269 .025 .006 .025 .086 .002 .016 .020 .000 .022 .001 .000 .043 .105 .026 .009 .011 .007 .000 .016 .043 .004 .068 .008 .029 .069 .074 .028 .016 .143 .060 .002 r_peak,r_snr = .1055024 18.67829 Correlation Surface of oversamples image at 746 5446 .017 .014 .031 .086 .130 .113 .059 .008 .007 .003 .005 .032 .120 .183 .140 .051 .001 .030 .004 .016 .088 .265 .359 .237 .068 .000 .040 .009 .050 .211 .547 .700 .432 .118 .004 .023 .009 .068 .287 .763 1.000 .598 .154 .010 .004 .001 .034 .208 .673 .969 .575 .127 .007 .000 .005 .001 .067 .363 .621 .370 .058 .000 .000 .021 .013 .002 .108 .253 .150 .012 .003 .001 .027 .035 .008 .015 .073 .045 .001 .003 .000 746 -.063 5446 -.313 18.67830 .009744 .025062 .000917 Correlation Surface at 846 5446 .024 .102 .109 .000 .018 .279 .012 .032 .162 .105 .102 .187 .032 .010 .079 .001 .000 .045 .008 .213 .299 .002 .167 .061 .042 .031 .007 .083 .233 .238 .207 .638 .128 .011 .039 .001 .224 .063 .015 .636 1.000 .119 .030 .004 .020 .229 .002 .017 .383 .643 .288 .010 .089 .021 .178 .052 .127 .040 .025 .225 .014 .019 .028 .119 .047 .482 .089 .084 .006 .005 .030 .240 .333 .195 .951 .417 .061 .253 .090 .054 .328 r_peak,r_snr = 6.16371E-02 7.1215 Correlation Surface of oversamples image at 846 5446 .474 .110 .067 .172 .263 .170 .096 .220 .523 .579 .263 .360 .734 .816 .329 .036 .023 .116 .450 .280 .684 1.612 1.871 .845 .086 .000 .001 .429 .321 1.050 2.661 3.262 1.739 .284 .000 .066 846 6.375 5446 -4.156 7.12150 .047153 .195477 -.001126 Correlation Surface at 946 5446 .009 .003 .001 .015 .008 .005 .045 .241 .187 .031 .006 .033 .001 .024 .007 .021 .249 .183 .038 .000 .001 .044 .173 .125 .002 .087 .151 .006 .015 .038 .344 .663 .408 .051 .002 .012 .004 .010 .026 .350 1.000 .463 .032 .022 .031 .048 .007 .001 .149 .686 .240 .008 .027 .031 .041 .031 .007 .175 .438 .081 .001 .019 .007 .000 .000 .059 .228 .328 .036 .056 .015 .001 .011 .002 .058 .154 .185 .048 .047 .114 .011 r_peak,r_snr = .1193448 21.20247 Correlation Surface of oversamples image at 946 5446 .068 .011 .006 .062 .138 .200 .209 .132 .023 .019 .001 .059 .190 .324 .410 .414 .285 .090 .000 .030 .176 .419 .613 .670 .609 .414 .155 .015 .069 .275 .633 .892 .888 .715 .447 .170 .026 .071 .274 .686 1.000 .947 .692 .405 .162 .015 .043 .202 .586 .907 .831 .561 .329 .161 .001 .017 .129 .434 .696 .609 .374 .228 .153 .001 .011 .104 .332 .496 .382 .192 .116 .113 .001 .022 .130 .311 .379 .224 .063 .022 .036 946 .156 5446 .000 21.20247 .017522 .062159 -.001525 Correlation Surface at 1046 5446 .031 .115 .086 .189 .330 .336 .041 .005 .029 .115 .121 .044 .146 .377 .414 .069 .000 .008 .094 .100 .078 .188 .586 .627 .085 .020 .008 .083 .060 .113 .365 .961 .864 .123 .011 .042 .101 .018 .063 .327 1.000 .963 .118 .001 .013 .097 .012 .018 .181 .543 .716 .090 .006 .000 .054 .036 .003 .137 .433 .477 .107 .001 .000 .008 .056 .015 .132 .688 .661 .203 .021 .001 .013 .020 .057 .166 .680 .781 .294 .072 .034 r_peak,r_snr = .1303833 9.22039 Correlation Surface of oversamples image at 1046 5446 .114 .186 .313 .437 .503 .466 .282 .082 .004 .158 .243 .402 .549 .611 .545 .330 .094 .001 .213 .320 .526 .718 .774 .655 .392 .126 .005 .239 .373 .625 .878 .946 .773 .456 .163 .019 .212 .357 .614 .895 1.000 .830 .498 .199 .041 .143 .273 .479 .721 .858 .764 .490 .222 .067 .076 .175 .314 .476 .603 .598 .437 .229 .089 .040 .116 .212 .310 .400 .443 .381 .240 .112 .033 .102 .194 .274 .335 .380 .367 .271 .145 1046 -.594 5446 -.125 9.22039 .034986 .080410 -.006540 Correlation Surface at 1146 5446 .000 .057 .006 .145 .224 .035 .000 .003 .014 .001 .076 .000 .244 .418 .115 .006 .004 .022 .003 .090 .004 .178 .705 .421 .043 .000 .012 .001 .084 .005 .167 .944 .606 .060 .001 .002 .023 .105 .000 .278 1.000 .432 .016 .001 .001 .131 .178 .001 .209 .628 .107 .001 .001 .009 .101 .124 .021 .024 .205 .001 .085 .001 .023 .023 .012 .013 .012 .149 .001 .131 .006 .012 .040 .018 .005 .073 .418 .066 .013 .004 .017 r_peak,r_snr = .1223206 17.26581 Correlation Surface of oversamples image at 1146 5446 .104 .322 .548 .565 .365 .155 .043 .010 .003 .067 .269 .555 .685 .538 .291 .113 .033 .007 .030 .194 .532 .805 .743 .469 .218 .075 .016 .017 .151 .519 .909 .918 .618 .309 .115 .026 .017 .143 .514 .958 1.000 .671 .329 .120 .027 .022 .146 .499 .919 .942 .604 .272 .089 .019 .025 .143 .454 .788 .757 .451 .182 .050 .009 .020 .121 .371 .602 .518 .273 .097 .021 .002 .010 .080 .262 .408 .304 .122 .029 .002 .000 1146 .281 5446 .094 17.26582 .018996 .152912 .028850 Correlation Surface at 1246 5446 .131 .094 .272 .307 .136 .166 .210 .186 .030 .150 .090 .270 .347 .163 .129 .235 .218 .012 .125 .062 .235 .388 .283 .161 .241 .254 .018 .201 .223 .422 .634 .577 .319 .311 .227 .051 .207 .380 .545 .916 1.000 .493 .339 .138 .028 .142 .217 .447 .756 .911 .390 .245 .124 .005 .137 .074 .341 .600 .655 .361 .235 .150 .015 .129 .024 .186 .576 .649 .579 .447 .129 .028 .065 .039 .115 .418 .652 .627 .533 .093 .010 r_peak,r_snr = .1360444 8.64787 Correlation Surface of oversamples image at 1246 5446 .178 .296 .404 .489 .529 .490 .410 .351 .354 .291 .424 .543 .623 .657 .607 .513 .451 .441 .427 .565 .700 .789 .814 .748 .635 .566 .537 .498 .640 .792 .910 .956 .885 .745 .645 .589 .457 .609 .771 .917 1.000 .944 .782 .638 .553 .363 .523 .681 .824 .926 .897 .741 .572 .470 .284 .449 .601 .717 .797 .787 .670 .523 .421 .237 .408 .568 .655 .686 .675 .620 .536 .452 .196 .370 .553 .642 .637 .612 .606 .599 .559 1246 -1.438 5446 9.438 8.64787 .051528 .071010 .001218 Correlation Surface at 1346 5446 .000 .037 .348 .941 .830 .393 .076 .025 .045 .000 .041 .302 .969 1.000 .493 .138 .066 .066 .004 .051 .264 .696 .810 .427 .207 .134 .103 .016 .061 .193 .450 .575 .292 .177 .173 .178 .008 .054 .130 .363 .575 .364 .200 .164 .135 .003 .063 .144 .307 .609 .479 .230 .135 .058 r_peak,r_snr = .2116884 8.53128 Correlation Surface of oversamples image at 1346 5446 .191 .379 .518 .577 .573 .499 .357 .204 .103 .218 .433 .609 .693 .688 .586 .394 .200 .087 .253 .503 .731 .846 .835 .692 .439 .199 .076 .268 .540 .815 .968 .959 .796 .507 .233 .091 .255 .519 .813 .993 1.000 .854 .582 .304 .140 .227 .456 .730 .916 .937 .821 .606 .371 .207 .192 .375 .603 .775 .796 .693 .535 .374 .252 .153 .300 .486 .634 .641 .538 .414 .319 .256 .126 .256 .424 .557 .552 .442 .332 .269 .247 1346 -.250 5446 -14.094 8.53128 .025054 .060951 -.011684 Correlation Surface at 1446 5446 .117 .062 .001 .035 .348 .340 .128 .229 .130 .168 .062 .001 .038 .316 .522 .227 .177 .131 .187 .069 .004 .073 .165 .220 .177 .059 .031 .083 .019 .029 .264 .379 .075 .042 .009 .002 .000 .005 .051 .357 1.000 .311 .032 .023 .040 .021 .024 .159 .387 .996 .597 .099 .099 .120 .026 .017 .248 .492 .786 .705 .146 .137 .091 .065 .027 .081 .188 .466 .604 .044 .002 .000 .053 .081 .051 .016 .178 .254 .008 .061 .071 r_peak,r_snr = .1031371 10.48329 Correlation Surface of oversamples image at 1446 5446 .023 .001 .043 .149 .135 .078 .080 .134 .133 .004 .004 .115 .322 .323 .191 .129 .140 .120 .000 .013 .183 .537 .669 .496 .315 .230 .157 .001 .028 .225 .658 .960 .859 .568 .342 .206 .012 .076 .281 .664 1.000 .994 .677 .368 .218 .071 .211 .395 .634 .853 .864 .574 .275 .164 .197 .428 .548 .623 .717 .708 .446 .176 .094 .290 .568 .645 .632 .688 .693 .438 .141 .045 .239 .468 .558 .566 .660 .727 .487 .132 .012 1446 .219 5446 .375 10.48329 .019773 .077762 -.012346 Correlation Surface at 1546 5446 .010 .007 .008 .077 .486 .291 .024 .024 .137 .000 .005 .005 .161 .535 .362 .039 .033 .088 .000 .011 .037 .436 .799 .421 .116 .061 .001 .001 .001 .017 .420 .968 .567 .271 .156 .000 .035 .021 .007 .319 1.000 .740 .319 .263 .194 .132 .074 .023 .274 .810 .506 .117 .127 .374 .176 .072 .040 .203 .503 .252 .022 .001 .094 .076 .028 .035 .238 .447 .274 .042 .000 .002 .009 .017 .024 .173 .452 .418 .170 .052 .011 r_peak,r_snr = .1187099 12.03301 Correlation Surface of oversamples image at 1546 5446 .004 .066 .170 .293 .392 .387 .257 .100 .024 .012 .154 .373 .556 .614 .500 .287 .104 .026 .011 .194 .534 .822 .859 .633 .334 .127 .042 .003 .147 .518 .907 .997 .739 .401 .180 .084 .000 .077 .382 .811 1.000 .812 .499 .277 .167 .003 .034 .256 .653 .928 .863 .614 .400 .274 .005 .020 .183 .511 .817 .865 .690 .481 .342 .003 .016 .143 .397 .674 .778 .657 .458 .315 .001 .014 .112 .304 .523 .617 .520 .344 .215 1546 -.125 5446 .625 12.03301 .027594 .533899 -.022930 Correlation Surface at 1646 5446 .037 .031 .338 .442 .490 .342 .000 .180 .286 .074 .096 .601 .727 .554 .331 .002 .196 .152 .050 .141 .706 .889 .755 .341 .000 .238 .151 .020 .050 .450 .722 .996 .480 .007 .254 .277 .007 .010 .122 .550 1.000 .682 .096 .155 .317 .001 .082 .006 .339 .764 .686 .220 .007 .092 .018 .074 .000 .167 .376 .474 .124 .003 .013 .108 .038 .023 .157 .093 .188 .019 .084 .213 .210 .019 .038 .125 .080 .088 .000 .361 .797 r_peak,r_snr = .1109966 5.91324 Correlation Surface of oversamples image at 1646 5446 .293 .532 .625 .581 .467 .345 .269 .214 .098 .439 .713 .789 .740 .625 .444 .283 .193 .092 .556 .847 .904 .873 .816 .628 .372 .210 .099 .526 .819 .901 .920 .960 .846 .532 .273 .115 .336 .620 .778 .880 1.000 .986 .708 .389 .161 .110 .344 .584 .776 .938 .987 .824 .549 .273 .002 .116 .368 .625 .807 .883 .842 .703 .460 .042 .011 .186 .454 .641 .723 .762 .781 .664 .117 .003 .071 .279 .449 .530 .605 .729 .757 1646 -.219 5446 1.125 5.91324 .112291 .788299 -.223543 Correlation Surface at 1746 5446 .125 .107 .020 .085 .286 .247 .113 .025 .020 .098 .100 .021 .040 .382 .348 .099 .050 .032 .063 .062 .008 .058 .510 .399 .224 .208 .048 .034 .024 .007 .208 .740 .432 .270 .322 .077 .004 .009 .028 .435 1.000 .524 .133 .140 .076 .000 .005 .009 .410 .958 .573 .118 .087 .038 .000 .015 .009 .095 .411 .284 .078 .085 .010 .000 .027 .040 .005 .123 .067 .012 .056 .003 .000 .032 .008 .090 .301 .143 .021 .044 .002 r_peak,r_snr = .1334648 15.08184 Correlation Surface of oversamples image at 1746 5446 .000 .008 .068 .257 .490 .566 .475 .350 .272 .018 .047 .147 .395 .660 .685 .514 .359 .291 .059 .128 .285 .579 .844 .806 .545 .335 .251 .087 .213 .433 .740 .974 .902 .597 .335 .218 .084 .250 .517 .810 1.000 .935 .656 .377 .220 .059 .219 .485 .745 .883 .842 .646 .412 .242 .029 .138 .345 .544 .633 .612 .508 .365 .238 .007 .060 .183 .311 .359 .340 .291 .230 .177 .000 .016 .076 .152 .175 .148 .112 .091 .087 1746 .156 5446 -7.656 15.08185 .019058 .220554 .009387 Correlation Surface at 1846 5446 .208 .118 .003 .184 .418 .153 .031 .078 .024 .136 .091 .013 .150 .552 .202 .002 .016 .016 .002 .003 .008 .238 .924 .340 .007 .055 .038 .004 .035 .102 .411 1.000 .381 .000 .006 .000 .047 .010 .086 .295 .407 .144 .015 .014 .045 .149 .091 .039 .165 .107 .026 .014 .022 .183 .062 .020 .145 .209 .082 .023 .066 .259 .203 .030 .002 .248 .275 .091 .031 .163 .437 .129 r_peak,r_snr = 9.56685E-02 9.43982 Correlation Surface of oversamples image at 1846 5446 .001 .078 .268 .484 .578 .495 .310 .144 .059 .001 .039 .220 .512 .711 .646 .377 .134 .030 .001 .018 .179 .540 .847 .792 .426 .113 .011 .000 .015 .167 .579 .960 .887 .433 .082 .001 .007 .031 .192 .609 1.000 .905 .409 .057 .000 .034 .080 .248 .602 .917 .808 .353 .040 .002 .070 .155 .309 .551 .738 .623 .263 .023 .006 .081 .202 .326 .448 .511 .401 .154 .007 .016 .066 .206 .299 .333 .321 .226 .075 .001 .018 1846 .188 5446 -12.625 9.43982 .027255 .082003 .010392 Correlation Surface at 1946 5446 .028 .000 .000 .009 .003 .008 .032 .164 .045 .140 .160 .088 .012 .016 .016 .005 .022 .010 .073 .073 .071 .090 .073 .005 .007 .000 .007 .008 .002 .024 .429 .551 .117 .000 .039 .041 .001 .012 .055 .693 1.000 .268 .002 .066 .112 .016 .002 .124 .424 .493 .067 .092 .060 .023 .117 .129 .193 .258 .212 .001 .430 .548 .000 .136 .138 .170 .245 .222 .002 .227 .351 .004 r_peak,r_snr = 9.07422E-02 11.59397 Correlation Surface of oversamples image at 1946 5446 .067 .102 .173 .248 .291 .275 .220 .098 .000 .275 .344 .410 .452 .469 .440 .345 .136 .001 .498 .598 .657 .700 .741 .726 .590 .256 .001 .513 .621 .717 .838 .939 .926 .768 .380 .023 .394 .459 .588 .813 1.000 .989 .827 .467 .072 1946 -11.781 5446 14.656 11.59398 .036716 .048654 .002515 Correlation Surface at 2046 5446 .247 .596 .266 .028 .112 .110 .076 .080 .000 .211 .312 .102 .031 .072 .030 .039 .008 .033 .044 .048 .018 .116 .097 .003 .052 .029 .001 .045 .114 .015 .298 .537 .030 .016 .129 .000 .038 .137 .002 .173 1.000 .401 .048 .470 .135 .011 .040 .024 .085 .368 .212 .086 .552 .284 .001 .018 .149 .189 .007 .008 .018 .175 .001 .132 .005 .060 .203 .011 .206 .000 .104 .064 .446 .066 .009 .060 .004 .436 .171 .050 .086 r_peak,r_snr = 6.82685E-02 7.6704 Correlation Surface of oversamples image at 2046 5446 .012 .000 .052 .195 .250 .179 .070 .014 .003 .025 .001 .094 .354 .452 .303 .113 .035 .030 .037 .010 .088 .489 .749 .573 .257 .105 .104 .042 .039 .043 .515 1.000 .885 .460 .211 .206 .034 .061 .011 .419 1.000 .977 .537 .253 .261 .013 .048 .002 .251 .692 .697 .369 .167 .208 .000 .015 .000 .077 .244 .240 .104 .042 .104 .018 .000 .002 .000 .005 .002 .001 .001 .035 .058 .013 .006 .050 .100 .139 .137 .051 .008 2046 -6.781 5446 -11.156 7.67040 .035059 .066844 -.014863 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .236 .168 .131 .001 .434 .712 .083 .069 .003 .119 .126 .032 .007 .175 .489 .085 .087 .072 .177 .196 .045 .000 .258 .520 .035 .015 .009 .285 .430 .088 .114 .698 .710 .000 .114 .007 .168 .165 .010 .361 1.000 .687 .010 .362 .021 .087 .004 .002 .202 .675 .535 .071 .162 .079 .044 .000 .027 .006 .220 .241 .031 .052 .036 .035 .041 .062 .001 .243 .364 .049 .011 .012 .151 .222 .027 .018 .234 .700 .171 .000 .038 r_peak,r_snr = 6.88093E-02 6.69123 Correlation Surface of oversamples image at 146 5846 .069 .034 .001 .055 .258 .348 .151 .005 .025 .041 .000 .032 .164 .424 .528 .236 .005 .054 .011 .052 .215 .425 .693 .770 .385 .017 .087 .002 .203 .527 .767 .944 .941 .524 .047 .092 .037 .374 .774 .956 1.000 .917 .557 .089 .059 .069 .399 .743 .830 .799 .716 .478 .123 .019 .039 .220 .416 .453 .437 .429 .326 .113 .003 .001 .041 .105 .121 .132 .170 .161 .062 .002 .018 .001 .004 .006 .013 .038 .055 .020 .008 146 -.344 5846 .781 6.69123 .084627 .218089 .032658 Correlation Surface at 246 5846 .160 .115 .158 .024 .005 .003 .025 .125 .048 .003 .013 .121 .029 .044 .039 .001 .113 .097 .021 .007 .000 .007 .151 .116 .030 .051 .127 .000 .028 .018 .120 .686 .237 .101 .003 .033 .034 .256 .231 .043 1.000 .404 .251 .046 .004 .056 .372 .359 .002 .340 .123 .143 .083 .005 .100 .443 .387 .043 .024 .025 .038 .010 .010 .035 .310 .347 .065 .008 .109 .401 .218 .103 .017 .081 .269 .066 .007 .085 .323 .071 .068 r_peak,r_snr = 9.24081E-02 12.47761 Correlation Surface of oversamples image at 246 5846 .003 .021 .005 .011 .057 .088 .135 .239 .237 .000 .001 .042 .169 .233 .178 .159 .263 .321 .015 .002 .135 .480 .610 .386 .231 .305 .415 .139 .015 .106 .637 .977 .683 .370 .382 .510 .400 .126 .020 .485 1.000 .842 .488 .443 .562 .641 .296 .005 .224 .669 .671 .432 .393 .507 .745 .416 .055 .053 .278 .307 .202 .202 .302 .720 .451 .108 .002 .067 .061 .022 .025 .068 .647 .447 .140 .003 .008 .000 .015 .019 .003 246 .063 5846 .813 12.47762 .013142 .042640 -.003277 Correlation Surface at 346 5846 .297 .144 .039 .173 .093 .013 .000 .049 .052 .096 .087 .067 .180 .148 .143 .057 .001 .039 .002 .007 .108 .395 .303 .220 .130 .050 .003 .062 .001 .055 .746 .776 .217 .044 .013 .002 .050 .023 .074 .764 1.000 .247 .003 .007 .014 .007 .018 .134 .376 .394 .160 .000 .036 .065 .000 .008 .096 .188 .031 .007 .006 .104 .162 .003 .004 .095 .326 .095 .001 .016 .089 .091 .001 .002 .095 .388 .355 .056 .005 .077 .015 r_peak,r_snr = .1204953 14.25719 Correlation Surface of oversamples image at 346 5846 .004 .019 .115 .203 .215 .194 .178 .152 .114 .000 .040 .177 .321 .358 .305 .244 .197 .158 .001 .055 .250 .492 .582 .473 .315 .204 .141 .005 .065 .309 .664 .840 .690 .407 .200 .096 .014 .077 .329 .736 1.000 .872 .510 .210 .064 .032 .093 .298 .642 .926 .891 .568 .232 .051 .052 .111 .248 .452 .646 .684 .504 .232 .046 .056 .124 .211 .287 .348 .372 .316 .179 .040 .043 .122 .203 .210 .177 .145 .123 .088 .026 346 .625 5846 9.656 14.25719 .022520 .034802 -.004129 Correlation Surface at 546 5846 .071 .118 .005 .092 .185 .134 .016 .029 .151 .104 .061 .016 .191 .394 .129 .005 .000 .067 .003 .017 .217 .356 .535 .167 .041 .016 .037 .004 .077 .405 .549 .631 .287 .008 .040 .000 .000 .007 .243 .726 1.000 .561 .023 .008 .013 .017 .002 .085 .392 .742 .457 .092 .007 .001 r_peak,r_snr = .103911 13.12385 Correlation Surface of oversamples image at 546 5846 .112 .291 .466 .543 .547 .591 .606 .503 .288 .192 .476 .693 .733 .675 .668 .645 .521 .312 .176 .493 .774 .875 .827 .775 .683 .518 .319 .109 .379 .703 .925 .972 .914 .750 .534 .335 .050 .236 .547 .854 1.000 .971 .782 .540 .351 .021 .130 .381 .691 .866 .856 .693 .483 .338 .013 .072 .247 .488 .621 .607 .487 .347 .274 .013 .043 .145 .294 .370 .354 .271 .189 .166 .023 .034 .077 .146 .196 .199 .148 .094 .087 546 -1.875 5846 12.875 13.12385 .073717 .095892 -.026314 Correlation Surface at 646 5846 .033 .081 .374 .895 .733 .082 .006 .001 .010 .147 .072 .147 .502 1.000 .417 .028 .008 .000 .193 .110 .198 .447 .781 .427 .154 .093 .045 .029 .044 .154 .313 .435 .129 .102 .098 .040 .005 .024 .001 .003 .125 .011 .001 .009 .008 .010 .055 .043 .040 .070 .096 .003 .001 .003 r_peak,r_snr = .1047819 9.58071 Correlation Surface of oversamples image at 646 5846 .363 .262 .151 .058 .006 .001 .001 .000 .000 .428 .464 .408 .282 .121 .016 .003 .024 .020 .385 .588 .693 .663 .470 .187 .014 .021 .059 .254 .535 .780 .928 .890 .581 .188 .004 .035 .116 .346 .604 .836 1.000 .906 .521 .127 .000 .037 .165 .348 .536 .749 .873 .718 .336 .053 .014 .079 .200 .321 .470 .640 .669 .435 .138 .015 .065 .181 .277 .360 .475 .535 .400 .175 .027 .083 .225 .330 .368 .418 .435 .319 .157 646 .000 5846 -15.125 9.58071 .049050 .214525 -.069249 Correlation Surface at 746 5846 .015 .038 .001 .001 .177 .276 .246 .324 .180 .007 .008 .038 .003 .161 .308 .126 .104 .111 .024 .252 .319 .166 .256 .135 .049 .035 .102 .059 .317 .415 .565 .640 .122 .045 .040 .037 .021 .086 .098 .524 1.000 .314 .154 .073 .001 .082 .041 .017 .232 .715 .523 .511 .212 .003 .230 .025 .001 .062 .367 .508 .855 .647 .063 .187 .000 .021 .023 .339 .411 .521 .714 .148 .116 .001 .004 .028 .427 .414 .175 .212 .081 r_peak,r_snr = .1083841 6.38385 Correlation Surface of oversamples image at 746 5846 .313 .072 .014 .050 .185 .282 .239 .148 .099 .350 .162 .120 .215 .322 .275 .160 .092 .077 .256 .216 .290 .497 .585 .391 .178 .089 .086 .100 .180 .391 .730 .861 .589 .278 .138 .132 .012 .100 .373 .791 1.000 .761 .421 .236 .213 .000 .043 .282 .702 .965 .818 .528 .338 .296 .002 .014 .173 .533 .821 .770 .554 .399 .363 .002 .002 .088 .376 .688 .719 .564 .447 .448 .012 .003 .037 .285 .642 .742 .611 .504 .550 746 .000 5846 9.125 6.38385 .030309 .098218 -.030185 Correlation Surface at 846 5846 .000 .006 .001 .178 .207 .018 .035 .001 .015 .001 .018 .000 .212 .288 .072 .000 .000 .010 .011 .023 .000 .238 .405 .153 .017 .002 .001 .059 .032 .020 .350 .667 .292 .032 .002 .002 .066 .033 .070 .555 1.000 .440 .053 .000 .000 .047 .032 .052 .541 .930 .309 .007 .007 .003 .074 .015 .016 .240 .455 .136 .007 .017 .017 .076 .001 .011 .084 .192 .060 .012 .009 .021 .054 .000 .050 .127 .211 .065 .002 .006 .032 r_peak,r_snr = .1468264 20.09192 Correlation Surface of oversamples image at 846 5846 .004 .014 .107 .252 .357 .340 .236 .132 .053 .003 .057 .185 .353 .474 .452 .309 .168 .074 .034 .155 .348 .551 .664 .591 .375 .188 .084 .076 .274 .547 .795 .875 .705 .396 .168 .065 .095 .335 .657 .941 1.000 .756 .378 .124 .032 .076 .282 .563 .832 .910 .694 .327 .082 .009 .043 .164 .336 .534 .638 .525 .254 .052 .001 .019 .068 .144 .260 .366 .341 .176 .032 .000 .005 .019 .045 .106 .187 .196 .102 .014 .003 846 -.156 5846 -.438 20.09192 .017077 .100774 .007242 Correlation Surface at 946 5846 .211 .020 .060 .261 .619 .332 .049 .014 .013 .163 .013 .176 .284 .357 .180 .008 .004 .010 .127 .019 .221 .608 .454 .147 .003 .009 .005 .148 .034 .111 .732 .858 .190 .002 .024 .028 .099 .017 .153 .612 1.000 .280 .002 .017 .014 .104 .000 .371 .739 .989 .351 .005 .011 .019 .140 .001 .509 .762 .918 .340 .005 .025 .041 .058 .003 .410 .622 .727 .369 .003 .033 .011 .022 .001 .157 .483 .606 .477 .019 .023 .001 r_peak,r_snr = .1396022 11.07024 Correlation Surface of oversamples image at 946 5846 .025 .183 .317 .345 .342 .335 .288 .168 .051 .033 .271 .510 .548 .473 .384 .287 .155 .042 .018 .262 .606 .755 .688 .520 .332 .156 .040 .004 .184 .549 .847 .906 .719 .415 .164 .037 .001 .122 .424 .781 1.000 .893 .516 .183 .038 .002 .106 .334 .639 .921 .938 .589 .212 .045 .011 .137 .326 .544 .786 .871 .611 .244 .058 .039 .218 .402 .546 .717 .807 .614 .272 .068 .080 .325 .520 .611 .722 .792 .625 .291 .067 946 -.313 5846 -1.813 11.07024 .017232 .822407 -.050724 Correlation Surface at 1146 5846 .062 .065 .155 .500 .501 .015 .083 .054 .013 .005 .015 .044 .245 .557 .059 .139 .070 .010 .000 .002 .028 .242 .568 .141 .082 .052 .001 .005 .002 .045 .511 .951 .205 .071 .057 .001 .015 .005 .042 .468 1.000 .221 .070 .094 .000 .008 .027 .085 .204 .447 .141 .022 .138 .034 .001 .029 .145 .144 .201 .131 .013 .054 .075 .002 .023 .105 .136 .140 .146 .089 .000 .036 .005 .034 .084 .039 .021 .064 .085 .004 .020 r_peak,r_snr = .1179754 18.02219 Correlation Surface of oversamples image at 1146 5846 .107 .200 .351 .511 .524 .323 .074 .002 .044 .071 .171 .345 .529 .578 .392 .104 .001 .055 .050 .166 .398 .654 .733 .511 .145 .000 .068 .038 .159 .438 .789 .911 .638 .187 .000 .082 .034 .142 .415 .819 1.000 .703 .208 .000 .095 .047 .133 .350 .727 .948 .681 .207 .001 .094 .081 .149 .301 .604 .820 .623 .212 .006 .061 .114 .167 .265 .488 .678 .558 .234 .025 .019 .118 .167 .226 .374 .524 .477 .253 .062 .000 1146 -.063 5846 -.469 18.02220 .014203 .065034 -.004805 Correlation Surface at 1246 5846 .183 .115 .001 .033 .174 .099 .002 .059 .024 .273 .179 .005 .073 .279 .172 .008 .035 .001 .172 .089 .001 .255 .450 .141 .000 .017 .010 .041 .018 .074 .819 .914 .167 .000 .011 .010 .002 .003 .128 .948 1.000 .183 .023 .059 .004 .018 .008 .065 .525 .630 .075 .132 .133 .000 .141 .034 .022 .195 .245 .007 .175 .082 .003 .236 .047 .004 .044 .045 .000 .104 .012 .001 .179 .026 .006 .039 .023 .002 .026 .010 .006 r_peak,r_snr = .1154643 16.64265 Correlation Surface of oversamples image at 1246 5846 .097 .000 .083 .270 .428 .468 .385 .212 .048 .040 .005 .137 .372 .563 .579 .423 .219 .064 .005 .035 .240 .538 .763 .746 .494 .227 .067 .000 .077 .347 .711 .970 .939 .613 .255 .060 .000 .071 .344 .724 1.000 .997 .684 .271 .039 .003 .028 .229 .555 .811 .837 .598 .220 .011 .012 .005 .125 .367 .577 .606 .421 .123 .000 .010 .003 .082 .250 .400 .409 .252 .041 .025 .001 .013 .083 .188 .267 .250 .125 .003 .079 1246 .719 5846 -.656 16.64265 .026357 .129782 -.003431 Correlation Surface at 1346 5846 .014 .018 .049 .127 .357 .291 .215 .166 .055 .015 .000 .005 .105 .380 .312 .160 .103 .030 .015 .002 .013 .155 .434 .350 .150 .095 .045 .003 .019 .097 .339 .756 .541 .214 .167 .070 .005 .041 .114 .365 1.000 .843 .388 .263 .130 .001 .017 .046 .264 .897 .795 .478 .241 .113 .011 .001 .029 .284 .873 .616 .372 .219 .074 .001 .001 .078 .460 .832 .516 .305 .306 .117 .019 .045 .126 .498 .668 .445 .390 .447 .252 r_peak,r_snr = .1899376 7.28904 Correlation Surface of oversamples image at 1346 5846 .000 .043 .191 .355 .346 .199 .085 .035 .011 .024 .114 .296 .478 .474 .298 .145 .068 .027 .085 .215 .446 .680 .698 .484 .267 .146 .075 .128 .276 .550 .851 .925 .713 .446 .269 .157 .115 .256 .541 .873 1.000 .843 .587 .380 .229 .074 .204 .473 .776 .899 .793 .596 .406 .242 .042 .167 .427 .685 .756 .645 .489 .343 .202 .030 .167 .441 .678 .688 .525 .365 .254 .157 .044 .216 .517 .751 .711 .479 .287 .193 .139 1346 .438 5846 -.094 7.28904 .015929 .083604 -.012865 Correlation Surface at 1446 5846 .221 .202 .064 .112 .291 .384 .398 .336 .095 .153 .103 .029 .093 .293 .470 .476 .346 .229 .196 .097 .076 .323 .592 .628 .594 .369 .239 .121 .107 .131 .661 .983 .776 .555 .360 .170 .061 .109 .120 .699 1.000 .728 .406 .317 .249 .102 .174 .177 .654 .908 .658 .369 .274 .311 .180 .227 .258 .558 .679 .550 .348 .246 .249 .243 .237 .271 .472 .444 .451 .309 .215 .231 .261 .289 .281 .441 .322 .416 .335 .187 .236 r_peak,r_snr = .184588 4.29974 Correlation Surface of oversamples image at 1446 5846 .068 .086 .119 .160 .208 .291 .420 .525 .517 .117 .201 .303 .372 .404 .440 .513 .578 .568 .159 .339 .555 .680 .695 .663 .648 .638 .600 .171 .416 .731 .919 .935 .858 .769 .677 .587 .158 .419 .768 .979 1.000 .919 .805 .662 .524 .156 .401 .731 .923 .930 .856 .753 .605 .450 .182 .400 .683 .834 .817 .747 .666 .543 .396 .226 .409 .629 .731 .695 .630 .571 .478 .358 .254 .398 .550 .601 .559 .511 .477 .416 .330 1446 -.188 5846 5.406 4.29974 .034689 .830857 .050885 Correlation Surface at 1546 5846 .020 .001 .003 .057 .553 .638 .265 .064 .000 .044 .019 .022 .045 .316 .561 .321 .220 .038 .178 .161 .252 .306 .324 .331 .138 .119 .084 .213 .225 .438 .604 .788 .413 .079 .021 .026 .118 .179 .345 .315 1.000 .828 .136 .002 .005 .118 .143 .145 .038 .435 .690 .117 .000 .055 .134 .106 .038 .002 .115 .242 .023 .000 .033 .001 .007 .026 .018 .097 .184 .009 .010 .009 .159 .007 .057 .062 .058 .068 .000 .012 .086 r_peak,r_snr = .1039429 9.57908 Correlation Surface of oversamples image at 1546 5846 .005 .176 1.238 3.028 4.000 3.077 1.646 .833 .472 .006 .178 1.019 2.663 3.856 3.246 1.890 1.065 .752 .141 .308 .942 2.229 3.282 2.846 1.634 .864 .659 .513 .613 1.007 1.819 2.476 2.064 1.072 .459 .341 .978 1.070 1.226 1.597 1.835 1.367 .613 .192 .116 1546 -5.469 5846 5.219 9.57908 .063094 .081233 -.045935 Correlation Surface at 1646 5846 .001 .021 .021 .121 .454 .382 .098 .007 .001 .004 .011 .030 .164 .513 .468 .166 .014 .004 .006 .010 .054 .278 .689 .516 .167 .016 .004 .008 .012 .096 .426 .927 .583 .105 .000 .004 .003 .007 .091 .419 1.000 .648 .106 .000 .008 .001 .007 .066 .307 .749 .494 .115 .007 .002 .008 .003 .053 .214 .460 .302 .062 .008 .000 .013 .000 .035 .167 .399 .308 .040 .000 .001 .012 .001 .028 .169 .412 .410 .084 .001 .000 r_peak,r_snr = .2785688 15.09384 Correlation Surface of oversamples image at 1646 5846 .173 .261 .410 .588 .689 .669 .569 .444 .322 .202 .312 .496 .706 .803 .736 .574 .400 .251 .229 .350 .554 .796 .913 .823 .608 .379 .196 .246 .368 .574 .840 .992 .909 .662 .390 .178 .249 .361 .551 .817 1.000 .941 .696 .413 .190 .239 .333 .491 .728 .913 .881 .668 .416 .214 .224 .302 .420 .603 .755 .739 .574 .379 .224 .212 .277 .362 .487 .593 .582 .457 .313 .204 .198 .255 .319 .407 .483 .475 .373 .250 .162 1646 .125 5846 -.156 15.09384 .005049 .035225 -.000760 Correlation Surface at 1746 5846 .214 .089 .000 .210 .561 .226 .071 .132 .064 .084 .020 .001 .305 .628 .191 .046 .068 .000 .156 .051 .005 .563 .868 .109 .002 .022 .000 .146 .049 .019 .617 .980 .274 .000 .048 .018 .075 .030 .005 .535 1.000 .382 .000 .106 .077 .063 .038 .004 .407 .648 .195 .000 .047 .096 .006 .005 .028 .157 .078 .021 .001 .005 .054 r_peak,r_snr = 8.08074E-02 6.73744 Correlation Surface of oversamples image at 1746 5846 .011 .048 .340 .660 .603 .302 .101 .049 .031 .005 .077 .426 .795 .747 .390 .126 .052 .035 .000 .113 .474 .854 .855 .515 .206 .084 .038 .008 .163 .516 .891 .945 .641 .297 .119 .031 .022 .201 .544 .912 1.000 .700 .328 .116 .016 .020 .198 .522 .870 .977 .673 .282 .075 .003 .010 .170 .465 .766 .876 .610 .229 .044 .001 .003 .126 .356 .574 .673 .503 .192 .033 .002 .004 .093 .223 .326 .390 .326 .143 .029 .006 1746 -.156 5846 11.563 6.73744 .046218 .404492 -.013231 Correlation Surface at 1846 5846 .146 .295 .303 .226 .177 .229 .041 .003 .070 .319 .312 .370 .395 .130 .036 .000 .006 .113 .152 .090 .217 .595 .281 .050 .002 .002 .086 .000 .008 .054 .577 .699 .451 .121 .005 .022 .020 .046 .002 .464 1.000 .792 .158 .019 .024 .022 .004 .000 .285 .639 .351 .007 .003 .031 r_peak,r_snr = 9.96634E-02 9.52912 Correlation Surface of oversamples image at 1846 5846 .093 .352 .627 .571 .283 .065 .002 .002 .000 .036 .291 .648 .702 .457 .197 .056 .014 .010 .015 .247 .645 .833 .714 .464 .236 .107 .066 .007 .210 .618 .914 .944 .753 .455 .222 .124 .002 .162 .550 .895 1.000 .854 .532 .244 .121 .001 .117 .439 .752 .852 .718 .427 .169 .066 .008 .104 .330 .541 .597 .476 .255 .077 .016 .047 .127 .254 .344 .354 .266 .123 .022 .000 .099 .154 .199 .205 .188 .140 .061 .006 .005 1846 9.938 5846 12.875 9.52912 .066166 .088979 -.013219 Correlation Surface at 1946 5846 .001 .052 .014 .010 .000 .088 .122 .010 .178 .010 .071 .025 .026 .188 .301 .038 .152 .366 .138 .056 .000 .357 .479 .276 .006 .383 .384 .214 .052 .003 .620 .679 .057 .120 .449 .287 .084 .061 .029 .412 1.000 .032 .326 .463 .218 .130 .048 .006 .253 .730 .176 .221 .460 .245 .432 .006 .040 .335 .188 .158 .013 .206 .165 .322 .083 .175 .465 .024 .000 .006 .139 .050 .083 .076 .228 .468 .024 .148 .134 .344 .163 r_peak,r_snr = 7.69071E-02 7.08286 Correlation Surface of oversamples image at 1946 5846 .001 .056 .209 .340 .320 .233 .139 .034 .011 .004 .142 .436 .590 .460 .263 .126 .021 .025 .000 .140 .550 .806 .611 .282 .085 .003 .055 .017 .073 .507 .943 .826 .369 .065 .004 .124 .039 .025 .373 .911 1.000 .506 .067 .028 .230 .051 .006 .229 .697 .958 .606 .094 .039 .305 .039 .009 .178 .506 .785 .649 .173 .009 .233 .010 .051 .259 .471 .625 .591 .246 .002 .115 .000 .141 .428 .542 .508 .437 .226 .016 .053 1946 .813 5846 -11.000 7.08286 .020522 .203668 -.024791 Correlation Surface at 2046 5846 .187 .012 .065 .072 .051 .055 .006 .063 .000 .002 .021 .128 .005 .108 .068 .021 .008 .098 .005 .076 .213 .003 .572 .424 .168 .009 .048 .018 .055 .010 .134 .958 .753 .513 .400 .128 .006 .045 .182 .696 1.000 .640 .399 .671 .535 .011 .097 .024 .259 .497 .434 .297 .391 .378 .000 .004 .000 .002 .031 .221 .317 .328 .374 .014 .085 .144 .006 .001 .041 .100 .307 .349 .000 .047 .144 .057 .008 .007 .012 .109 .166 r_peak,r_snr = 7.45716E-02 7.81745 Correlation Surface of oversamples image at 2046 5846 .152 .087 .015 .012 .120 .225 .213 .151 .104 .214 .095 .001 .086 .308 .423 .346 .238 .174 .151 .046 .012 .227 .553 .644 .471 .313 .255 .029 .000 .099 .434 .815 .862 .592 .372 .309 .005 .081 .294 .665 1.000 .991 .658 .379 .289 .029 .170 .414 .717 .938 .894 .599 .328 .219 .006 .097 .277 .491 .643 .637 .470 .279 .181 .009 .004 .064 .183 .309 .375 .341 .253 .185 .060 .038 .005 .009 .070 .154 .199 .191 .167 2046 -9.781 5846 -9.406 7.81745 .191598 .248504 .101529 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2326602 62.16094 146 .156 3046 .094 62.16094 .002863 .003683 -.000266 r_peak,r_snr = .2521474 25.2038 246 .094 3046 -.156 25.20380 .003658 .006608 -.000777 r_peak,r_snr = .3060071 50.094 346 -.188 3046 .063 50.09401 .002112 .005391 -.000267 r_peak,r_snr = .1929635 8.51786 446 -.219 3046 -.344 8.51786 .007187 .015396 -.003869 r_peak,r_snr = .1811269 36.89461 546 .063 3046 .031 36.89462 .004199 .008276 .000339 r_peak,r_snr = .1962424 43.98474 646 .000 3046 .250 43.98475 .003969 .010173 -.000201 r_peak,r_snr = .2117382 52.7888 746 -.063 3046 -.125 52.78881 .003410 .006826 -.001014 r_peak,r_snr = .1338375 12.35944 846 -.063 3046 -.188 12.35945 .019141 .039223 -.006167 r_peak,r_snr = .2376508 53.41402 946 .000 3046 -.031 53.41402 .003183 .006951 -.000696 r_peak,r_snr = .2035459 40.63478 1046 -.094 3046 .188 40.63479 .003707 .007321 -.000635 r_peak,r_snr = .2212603 39.29569 1146 .094 3046 .094 39.29569 .003258 .010851 -.000199 r_peak,r_snr = .3157256 25.86774 1246 .031 3046 -.031 25.86775 .002673 .009236 -.000382 r_peak,r_snr = .2907294 10.48074 1346 -.063 3046 -.438 10.48075 .004978 .052171 -.005326 r_peak,r_snr = .2447131 12.26324 1446 -.156 3046 .281 12.26325 .005697 .037489 -.000622 r_peak,r_snr = .2517592 8.65291 1546 .063 3046 .281 8.65291 .010277 .258203 -.026771 r_peak,r_snr = .2917883 35.12426 1646 .031 3046 -.156 35.12427 .002570 .007321 -.000362 r_peak,r_snr = .1328243 23.04195 1746 -.031 3046 .000 23.04195 .007328 .033538 -.004250 r_peak,r_snr = .1734526 16.61254 1846 .188 3046 .031 16.61255 .008911 .019256 -.000310 r_peak,r_snr = .4919396 1.65216 1946 1.188 3046 12.813 1.65216 .045681 .095182 -.004990 At line = 3400 Reading in data.... r_peak,r_snr = .2092301 50.2438 146 .063 3446 .000 50.24381 .004004 .005943 .000275 r_peak,r_snr = .1849414 42.93635 246 .000 3446 -.219 42.93636 .005293 .008007 -.001706 r_peak,r_snr = .2839099 54.82871 346 .094 3446 .094 54.82872 .002397 .004638 -.000339 r_peak,r_snr = .2232664 38.82743 446 -.063 3446 -.344 38.82744 .002870 .008303 -.000673 r_peak,r_snr = .1619217 21.901 546 .188 3446 .000 21.90100 .005589 .013907 -.001313 r_peak,r_snr = .2727832 38.78535 646 .094 3446 -.094 38.78536 .002645 .007010 -.000218 r_peak,r_snr = .2528094 55.72808 746 .000 3446 .031 55.72808 .002593 .006056 -.000886 r_peak,r_snr = .1787493 45.136 846 .031 3446 .000 45.13601 .004262 .012178 -.001247 r_peak,r_snr = .2621297 55.64402 946 -.031 3446 .094 55.64402 .002551 .007024 -.000837 r_peak,r_snr = .2313897 60.37094 1046 .000 3446 .188 60.37095 .002748 .007554 -.000539 r_peak,r_snr = .1733523 27.75787 1146 .031 3446 .469 27.75788 .004208 .016501 -.001359 r_peak,r_snr = .4872827 2.54797 1246 -.063 3446 .250 2.54797 .003658 .020095 -.000905 r_peak,r_snr = .4889279 5.73092 1346 -.094 3446 .719 5.73092 .002491 .073223 .001611 r_peak,r_snr = 9.38874E-02 12.19276 1446 .250 3446 .438 12.19276 .036126 .033616 -.010761 r_peak,r_snr = .337659 30.5478 1546 .031 3446 .125 30.54780 .002026 .006330 -.000274 r_peak,r_snr = .2137466 11.89868 1646 -.031 3446 .156 11.89869 .004280 .039846 .001022 r_peak,r_snr = .13266 20.26376 1746 .156 3446 -.344 20.26376 .009461 .017256 .001067 r_peak,r_snr = .2429796 14.43746 1846 -.125 3446 .125 14.43746 .006272 .032044 .000269 r_peak,r_snr = .3591265 1.45856 1946 3.250 3446 -13.781 1.45856 .030154 .448915 -.003746 r_peak,r_snr = 6.20845E-02 7.45221 2046 9.188 3446 -12.594 7.45221 .043368 .097821 .004821 At line = 3800 Reading in data.... r_peak,r_snr = .1778506 42.98122 146 .000 3846 .000 42.98123 .004644 .008237 -.000886 r_peak,r_snr = .3115734 27.81609 246 -.031 3846 -.125 27.81609 .002356 .004738 -.000431 r_peak,r_snr = .2197516 65.19248 346 -.094 3846 -.063 65.19248 .003058 .006731 -.000463 r_peak,r_snr = .221668 29.36032 446 .344 3846 .344 29.36032 .004448 .010233 -.000600 r_peak,r_snr = .1478594 33.98242 546 -.156 3846 -.031 33.98242 .006821 .012419 -.000066 r_peak,r_snr = .2645558 56.70892 646 -.031 3846 .031 56.70893 .002768 .004887 -.000323 r_peak,r_snr = .2154878 44.24732 746 .000 3846 -.094 44.24733 .003518 .009771 -.001528 r_peak,r_snr = .1827797 51.88638 846 .094 3846 .219 51.88638 .003493 .006403 -.000852 r_peak,r_snr = .1405915 21.09969 946 .000 3846 -.625 21.09970 .011203 .036633 -.000191 r_peak,r_snr = .2447423 35.79637 1046 .031 3846 -.125 35.79638 .003540 .010390 -.001188 r_peak,r_snr = .1961516 31.60988 1146 .063 3846 -.188 31.60988 .004635 .012712 -.000319 r_peak,r_snr = .584662 2.04775 1246 .000 3846 .313 2.04775 .003883 .008720 -.000473 r_peak,r_snr = .4895896 5.63799 1346 -.063 3846 -.031 5.63799 .001747 .013051 -.000856 r_peak,r_snr = .2198441 9.78246 1446 -.250 3846 -.375 9.78246 .011538 .025137 -.000529 r_peak,r_snr = .2645806 28.16262 1546 .000 3846 .344 28.16262 .002876 .010644 -.000234 r_peak,r_snr = .2335233 14.2191 1646 .031 3846 .156 14.21911 .006945 .061017 -.004265 r_peak,r_snr = .1846919 29.62994 1746 .031 3846 .031 29.62994 .007067 .011769 -.000515 r_peak,r_snr = .1560892 30.89779 1846 .188 3846 .281 30.89780 .005744 .013110 -.003028 r_peak,r_snr = .2850306 50.52415 1946 .063 3846 -.094 50.52415 .001972 .008237 -.000156 r_peak,r_snr = .4175706 3.39148 2046 .313 3846 .188 3.39148 .003641 .021831 -.000396 At line = 4200 Reading in data.... r_peak,r_snr = .2426816 63.73851 146 .031 4246 -.063 63.73851 .002540 .005705 -.000224 r_peak,r_snr = .2596832 33.02008 246 .000 4246 -.063 33.02009 .002649 .006038 -.000885 r_peak,r_snr = .2219486 34.54788 346 .063 4246 .313 34.54788 .002510 .012649 -.000782 r_peak,r_snr = .1822999 21.38152 446 .188 4246 -.031 21.38153 .006117 .010256 -.000696 r_peak,r_snr = .2120593 51.19451 546 .063 4246 .313 51.19451 .003766 .007881 -.000891 r_peak,r_snr = .1524231 13.47845 646 .063 4246 -1.281 13.47846 .005667 .186394 -.005304 r_peak,r_snr = .1356705 21.91857 746 -.094 4246 -.250 21.91858 .007863 .022326 -.002248 r_peak,r_snr = .1771254 34.58564 846 .000 4246 -.188 34.58565 .004734 .009782 -.001141 r_peak,r_snr = .1625895 32.62539 946 .031 4246 .250 32.62539 .004872 .025236 .000810 r_peak,r_snr = .2377821 17.87864 1046 .344 4246 .125 17.87865 .003920 .010289 -.000257 r_peak,r_snr = .1378536 18.50832 1146 -.281 4246 -.094 18.50833 .007728 .020240 -.001913 r_peak,r_snr = .3189353 25.74101 1246 -.094 4246 .125 25.74102 .002610 .007673 -.000484 r_peak,r_snr = .1358215 23.21912 1346 -.313 4246 -.313 23.21913 .008427 .032198 -.004641 r_peak,r_snr = .2231753 9.30699 1446 -.094 4246 -.188 9.30699 .007693 .050008 -.002403 r_peak,r_snr = .1860802 26.01039 1546 -.125 4246 -.094 26.01040 .005570 .016759 -.001906 r_peak,r_snr = .2440614 9.4076 1646 -.125 4246 .375 9.40760 .005598 .017174 -.001311 r_peak,r_snr = .1421029 21.61873 1746 .125 4246 .156 21.61874 .006358 .013439 .000063 r_peak,r_snr = .1656594 35.39086 1846 .031 4246 .438 35.39087 .005760 .011434 -.000083 r_peak,r_snr = .1746399 24.01505 1946 -.031 4246 .031 24.01505 .005065 .021703 -.002482 r_peak,r_snr = .3640592 23.80693 2046 -.156 4246 -.156 23.80693 .001804 .012065 -.000586 At line = 4600 Reading in data.... r_peak,r_snr = .1642487 41.57556 146 -.094 4646 .156 41.57556 .004656 .011084 -.001389 r_peak,r_snr = .2800057 40.922 246 .094 4646 .063 40.92200 .002220 .006614 -.000684 r_peak,r_snr = .2183578 35.97102 346 .000 4646 .313 35.97102 .003459 .010165 -.000196 r_peak,r_snr = .1689514 12.56066 446 .063 4646 .219 12.56066 .005536 .014698 .000575 r_peak,r_snr = .1611949 27.47259 546 .031 4646 .281 27.47260 .006373 .027786 .000074 r_peak,r_snr = .1611647 22.84176 646 .063 4646 .156 22.84176 .013595 .028546 -.005870 r_peak,r_snr = .1753016 49.2852 746 .094 4646 -.219 49.28520 .004463 .008900 -.000245 r_peak,r_snr = .2287268 29.16713 846 -.031 4646 .063 29.16713 .003835 .006020 -.000614 r_peak,r_snr = .1994771 34.66034 946 .094 4646 .000 34.66034 .005964 .012968 .000107 r_peak,r_snr = .2528623 28.00083 1046 .000 4646 -.156 28.00084 .002887 .017072 -.000468 r_peak,r_snr = .2725945 38.09202 1146 .031 4646 .031 38.09202 .002736 .007509 -.000881 r_peak,r_snr = .1815173 22.27971 1246 .031 4646 -.156 22.27971 .006213 .024812 .000041 r_peak,r_snr = .1189459 19.99175 1346 .000 4646 .188 19.99176 .009056 .034042 -.005183 r_peak,r_snr = .2034545 20.08844 1446 -.031 4646 .188 20.08844 .006862 .009922 .000820 r_peak,r_snr = .1813044 7.64373 1546 .031 4646 .063 7.64373 .015554 .029786 -.005199 r_peak,r_snr = .1355915 15.59826 1646 .156 4646 -.594 15.59827 .008325 .032946 .003265 r_peak,r_snr = .2799051 25.63069 1746 -.063 4646 -.125 25.63069 .003697 .008925 -.000789 r_peak,r_snr = .1177356 14.9375 1846 -.156 4646 -.406 14.93751 .023761 .084468 -.023185 r_peak,r_snr = .152218 20.34383 2046 .156 4646 -.406 20.34384 .015860 .032905 -.003964 At line = 5000 Reading in data.... r_peak,r_snr = .1396637 32.54625 146 -.156 5046 -.125 32.54626 .006176 .010990 -.003190 r_peak,r_snr = .1895391 49.28044 246 -.031 5046 .031 49.28045 .004389 .006044 -.000261 r_peak,r_snr = .2280614 27.0916 346 .031 5046 -.094 27.09161 .003272 .018718 .000092 r_peak,r_snr = .173507 42.39744 446 .031 5046 .125 42.39745 .004593 .015547 -.001947 r_peak,r_snr = .1567031 29.19627 546 -.281 5046 .375 29.19628 .006309 .020375 .002109 r_peak,r_snr = .2250076 43.69898 646 -.219 5046 .000 43.69898 .003026 .006493 -.000976 r_peak,r_snr = .1753568 28.81707 746 .094 5046 -.031 28.81707 .006688 .024075 -.003580 r_peak,r_snr = .1745775 45.67442 846 .000 5046 .000 45.67442 .005685 .009410 -.001351 r_peak,r_snr = .1665607 37.49448 946 .250 5046 .063 37.49448 .005935 .015547 -.000844 r_peak,r_snr = .2525632 39.38554 1046 .031 5046 .094 39.38554 .002890 .012316 -.000886 r_peak,r_snr = .2589491 46.55266 1146 .094 5046 .000 46.55267 .002543 .009062 -.000720 r_peak,r_snr = .1666733 22.53843 1246 -.063 5046 .031 22.53844 .005988 .020955 -.002561 r_peak,r_snr = .2793639 18.4069 1346 -.063 5046 -.281 18.40690 .003511 .015207 .000146 r_peak,r_snr = .2158434 3.71532 1446 -2.875 5046 -2.750 3.71532 .015834 .030220 -.006489 r_peak,r_snr = .2539497 16.524 1546 .250 5046 .031 16.52400 .005003 .012899 .000942 r_peak,r_snr = .2228236 44.01952 1646 -.156 5046 -.125 44.01952 .003687 .008541 -.001776 r_peak,r_snr = .241856 27.90231 1746 .000 5046 .094 27.90232 .003803 .010826 -.000705 r_peak,r_snr = .2250991 69.27183 1846 .000 5046 -.063 69.27184 .002817 .004917 -.000439 r_peak,r_snr = .119516 12.02463 1946 -.031 5046 .156 12.02463 .023272 .039356 -.008176 r_peak,r_snr = 7.47064E-02 8.83628 2046 3.094 5046 13.844 8.83628 .051292 .053280 -.022279 At line = 5400 Reading in data.... r_peak,r_snr = .1306466 28.80417 146 .063 5446 .000 28.80417 .006232 .017140 -.002721 r_peak,r_snr = .2278018 57.32326 246 -.188 5446 .063 57.32327 .003308 .004375 -.000765 r_peak,r_snr = .2432234 32.08304 346 -.063 5446 .031 32.08305 .003263 .014708 -.000968 r_peak,r_snr = .1077988 18.66266 446 .156 5446 -.438 18.66266 .010447 .082164 .000660 r_peak,r_snr = .1187678 25.82497 546 -.094 5446 -.281 25.82498 .008904 .026192 -.000881 r_peak,r_snr = .2148052 31.3933 646 .063 5446 .125 31.39330 .004607 .008621 .000191 r_peak,r_snr = .1722523 46.66444 746 .031 5446 .281 46.66445 .004603 .008171 -.000452 r_peak,r_snr = .1686914 40.37333 846 .000 5446 -.094 40.37334 .004412 .007618 -.000508 r_peak,r_snr = .15492 30.32991 946 -.031 5446 .000 30.32992 .008453 .011760 -.000459 r_peak,r_snr = .2063168 30.16321 1046 -.031 5446 -.344 30.16321 .004177 .019503 -.001181 r_peak,r_snr = .1570662 27.36408 1146 .063 5446 .156 27.36409 .004454 .013281 .000116 r_peak,r_snr = .2494616 32.5188 1246 -.063 5446 .063 32.51881 .003047 .009588 -.000535 r_peak,r_snr = .2457432 9.49183 1346 .219 5446 -.094 9.49183 .009191 .016086 -.003303 r_peak,r_snr = .1157892 15.33821 1446 .000 5446 .156 15.33821 .011197 .037058 .001742 r_peak,r_snr = .1792964 25.2663 1546 -.094 5446 .094 25.26630 .005538 .021043 -.002225 r_peak,r_snr = .2140273 16.18859 1646 .094 5446 -.156 16.18859 .007062 .018059 .002446 r_peak,r_snr = .2100979 30.37101 1746 -.219 5446 -.281 30.37102 .004661 .022517 -.001894 r_peak,r_snr = .2765688 46.72438 1846 -.031 5446 .094 46.72438 .002210 .004315 -.000142 r_peak,r_snr = .1693836 35.47226 1946 -.031 5446 .125 35.47226 .004581 .017473 -.000679 r_peak,r_snr = .1414637 22.99899 2046 .250 5446 .000 22.99900 .010566 .023132 .000080 At line = 5800 Reading in data.... r_peak,r_snr = .22402 56.17661 146 -.063 5846 -.063 56.17661 .002602 .005816 -.000587 r_peak,r_snr = .2748186 58.80471 246 -.094 5846 .031 58.80472 .002179 .004513 -.000367 r_peak,r_snr = .2359558 45.94173 346 .000 5846 .000 45.94173 .003354 .006666 -.001077 r_peak,r_snr = .1415188 16.73483 446 -.031 5846 -.656 16.73483 .007946 .080785 .000401 r_peak,r_snr = .2152337 39.68444 546 .063 5846 -.219 39.68444 .003901 .006194 -.001145 r_peak,r_snr = .2272194 22.15947 646 .031 5846 .063 22.15948 .003418 .009285 -.001484 r_peak,r_snr = .1710968 15.98115 746 -.063 5846 -.406 15.98116 .005870 .010291 -.001352 r_peak,r_snr = .2216285 44.14334 846 .031 5846 .063 44.14334 .003799 .007306 -.000178 r_peak,r_snr = .2637118 31.13752 946 .219 5846 .344 31.13752 .002888 .016850 -.000262 r_peak,r_snr = .1130733 14.6832 1046 .219 5846 .156 14.68321 .013614 .032686 -.003134 r_peak,r_snr = .1385702 24.9252 1146 .406 5846 .125 24.92521 .012235 .027282 -.006964 r_peak,r_snr = .1982189 29.30482 1246 .063 5846 .156 29.30483 .004470 .020475 -.000934 r_peak,r_snr = .2059752 10.57028 1346 .188 5846 .156 10.57028 .009591 .058259 -.002433 r_peak,r_snr = .1763325 46.12171 1546 .063 5846 .219 46.12172 .005023 .012189 -.000665 r_peak,r_snr = .2828095 14.80406 1646 -.094 5846 .156 14.80406 .002730 .022540 -.001023 r_peak,r_snr = .1476181 28.37476 1746 -.094 5846 .250 28.37477 .005436 .016542 -.000866 r_peak,r_snr = .1470524 17.82548 1846 -.063 5846 .563 17.82549 .007271 .016895 .000077 r_peak,r_snr = .150927 21.33617 1946 .063 5846 .156 21.33617 .009256 .033102 -.002557 r_peak,r_snr = .1472483 14.06675 2046 .094 5846 .625 14.06675 .009946 .047106 -.000230 ************************************************* ***** 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 94046 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 94046 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 94046 FOUND CALIB SET 94046 12.0 11.0 12.0 11.0 0.79 0.24 -1.44 .0 -1.44 .0 132.945 1 125.236 1 84.35199 84.86499 84.35199 84.86499 87.90 82.70 95.3 95.9 95.4 95.9 139.46 -77.87 70.382 0.00 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: 73.4 -193.092 -191.765 -193.192 -191.765 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: 73.40 deg Receiver phase difference is -105.90 deg Transmitter phase difference is -32.50 deg Cable phase difference is 70.38 deg Reading data to estimate cross-talk. 256 512 768 1024 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 1024 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 rm: /data12/airops/hd5271.log non-existent Tue Apr 28 19:37:20 PDT 1998 Tue Apr 28 19:37:20 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 20:29:52 IDR=119600 FC=21,061,000 drft 1.3; smooth ride; almost cloud-free; CPA @ 20:19:28 IDR=053050 FC=20,546,391 drft -0.5; plenty of signal1 looks greatturb brieflyrdeduring 1st halfrick, Timothy William Millermothy William Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94046 94046 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5271 prod ID1:*5271*5271* +53 54.5 -104 40.5 here here here here here chrp_delay is 32.5 usec 94046 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.10 24 6 5 18 16 20 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.10 24 6 5 18 16 20 Done decoding data from header array... Data collected on ==> 21-JUL-1994 Starting and end GPS times for SAR data -171904411.0660 -171904362.0140 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 lati 53.86554 53.83936 53.89172 .0151573 0 loni -104.75291 -104.81970 -104.68649 .0384764 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8158.99023 8174.93018 5.2732916 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171904411.066751 -171904411.066 GPS trend coefficients = 10.60791236124931 -27.4774950142171 9.43478152991253 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 delx .25720 .25712 .25722 .0000128 0 lati 53.86554 53.83936 53.89154 .0151568 0 loni -104.75291 -104.81901 -104.68649 .0384745 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8164.06072 8166.43480 .4787149 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00926 -.08750 .14505 .0417648 0 ca .01393 -.10732 .14429 .0300900 0 aa -.04845 -.09540 -.01431 .0128510 0 Average Barometric Altitude = 7923.561750000014 Average Radar Altitude = 7751.11543499998 Average GPS Altitude = 8165.505675506705 >>Record # : 64 >>GPS Stuff = 2.10 24 6 5 18 1 >>Record # : 40960 >>GPS Stuff = 2.10 24 6 5 18 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.943544309412573E-04 Standard deviation of difference = 2.888745972423349E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8751183 -104.7982101 8165.567 End position = 53.8491745 -104.7329712 8164.934 Loxodromic Heading (deg) = 123.9308277 Loxodromic Distance (km) = 5173.1396375 Geodesic Heading (deg) = 123.9044801 Geodesic Distance (km) = 5173.1394227 Peg latitude and longitude = 53.8621483 -104.7655487 Peg heading = 123.9516078 Rotation matrix First row = -.150301170 .687162801 .710786074 Second row = -.570255251 -.647556495 .505449835 Third row = .807600463 -.329359789 .489186695 Translation vector Vector = -701.87152 -2662.95942 -30786.88035 Local Radius of Curvature = 6387437.101806902 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2586639386130985 Delta s on reference surface = .2586639397075425 Making fits... Vertical fit coefficients = 8164.294964539976 .1846099027841319 -3.605603944155433E-03 Cross track fit coefficients = -7.95161963505718 .4558216863094728 -7.442478899737370E-04 Along track fit coefficients = -5329.15101741795 216.56710115947 -2.458525056008298E-04 Miscellaneous Information Start range = 8304.25225 Start ground range = 2980.069620820144 Time orgin = -171904411.066751 Pulse spacing = .2572010432937112 First frame = 21914520 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/cm5271_l.par Enter the raw data file name. /data1/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5271_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (45.21395,.0) (-30.1426,.0) (-10.0475,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 54866.97 Pulse#/64: 65 1073 33647.96 Pulse#/64: 129 1073 43209.34 Pulse#/64: 193 1073 76826.35 Pulse#/64: 257 1073 36524.9 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.92946Power RMS: 1.73564 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 202.1739Amp. RMS: 46.39596 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -65.3241Phase RMS: 244.7595 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.92918 CalTone Power Coherently dB : 45.92946 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.92918 Incoherent PW - Coherent PW : 35.99971 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12464.78 CalTone Amplitude Coherently : 202.1739 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12262.61 ------------ *** ------------ running time (sec): 29.15 ********** 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/cm5271_l.par Enter the raw data file name. /data1/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5271_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_hv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-5.0357,.0) (-50.357,.0) (35.24991,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 43564.29 Pulse#/64: 65 1073 35142.07 Pulse#/64: 129 1073 45398.64 Pulse#/64: 193 1073 42446.55 Pulse#/64: 257 1073 40773.62 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.0317Power RMS: 1.47555 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 203.2335Amp. RMS: 40.04143 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 35.11242Phase RMS: 244.5059 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.05566 CalTone Power Coherently dB : 46.0317 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.05566 Incoherent PW - Coherent PW : 36.02396 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12689.21 CalTone Amplitude Coherently : 203.2335 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12485.97 ------------ *** ------------ running time (sec): 31.41 ********** 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/cm5271_l.par Enter the raw data file name. /data1/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5271_l.mocomph Enter a file name for the range spectrum: /data1/airops/db_l_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (18.88388,.0) (-59.1695,.0) (11.33032,.0) attenuation (dB): 2.0 Pulse#/64: 1 1073 45109.84 Pulse#/64: 65 1073 29666.17 Pulse#/64: 129 1073 42869.19 Pulse#/64: 193 1073 40257.45 Pulse#/64: 257 1073 39038.54 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.76981Power RMS: 1.13816 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 196.1174Amp. RMS: 30.37815 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -34.5849Phase RMS: 239.3429 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.80731 CalTone Power Coherently dB : 45.76981 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.80731 Incoherent PW - Coherent PW : 36.0375 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12334.11 CalTone Amplitude Coherently : 196.1174 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12137.99 ------------ *** ------------ running time (sec): 30.91 ********** 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/cm5271_l.par Enter the raw data file name. /data1/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5271_l.mocompv Enter a file name for the range spectrum: /data1/airops/db_l_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_l_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_l_vv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_l_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (50.23772,.0) (12.55943,.0) (-5.02377,.0) attenuation (dB): 8.0 Pulse#/64: 1 1073 49454.74 Pulse#/64: 65 1073 29226.89 Pulse#/64: 129 1073 30084.73 Pulse#/64: 193 1073 43032.94 Pulse#/64: 257 1073 29742.97 Estimate Caltone : 1364 -----CalTone Estimate Position --- CalTone Bin at : 1364 1073 CalTone Bin offset : -291 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.23224Power RMS: 2.07271 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 211.4844Amp. RMS: 67.94393 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 151.8468Phase RMS: 247.1181 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.24147 CalTone Power Coherently dB : 46.23224 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.24147 Incoherent PW - Coherent PW : 36.00923 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12937.81 CalTone Amplitude Coherently : 211.4844 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12726.33 ------------ *** ------------ running time (sec): 36.74 ********** 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: -4.45939 1.42038E-04 z fit: constant and linear terms: 1.21085 1.87731E-09 y and z standard deviations (meters) 1.35989 .4557612 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 = 9.77210E-02 9.26549E-02 9.31131E-02 9.75366E-02 Differences = 2.46459E-03 -2.60146E-03 -2.14331E-03 2.28019E-03 PATCH NUMER 2 First line = 3493 Averages = 9.19586E-02 9.63102E-02 9.96944E-02 9.85680E-02 Differences = -4.67425E-03 -3.22655E-04 3.06152E-03 1.93512E-03 PATCH NUMER 3 First line = 6985 Averages = 9.90344E-02 9.87520E-02 .1012134 .1057 Differences = -2.14049E-03 -2.42297E-03 3.84897E-05 4.52515E-03 PATCH NUMER 4 First line = 10477 Averages = 9.97457E-02 .1046412 .1082767 .1122495 Differences = -6.48267E-03 -1.58709E-03 2.04838E-03 6.02122E-03 PATCH NUMER 5 First line = 13969 Averages = .1070304 .1116006 .114384 .1146904 Differences = -4.89603E-03 -3.25836E-04 2.45754E-03 2.76401E-03 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.lp Please enter the name of the parameter file /data3/airops/cm5271_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_hh Name of the mocomp data file? /data3/airops/cm5271_l.mocomph Output file name? /data3/airops/cm5271_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lh xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.254 Processing 5 blocks Processing block number 1 reference line: 4096 2.255 seconds. Range compression done, time = 119.736 Motion comp. coeff. calculated, time = 119.814 Motion comp. added to patch, time = 210.729 Doppler estimation done, time = 210.729 Azimuth compression starting, time : 210.864 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 586.075 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 607.871 seconds. Range compression done, time = 712.839 Motion comp. coeff. calculated, time = 712.928 Motion comp. added to patch, time = 788.846 Doppler estimation done, time = 788.847 Azimuth compression starting, time : 788.962 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1164.143 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1182.545 seconds. Range compression done, time = 1287.846 Motion comp. coeff. calculated, time = 1288.085 Motion comp. added to patch, time = 1363.755 Doppler estimation done, time = 1363.755 Azimuth compression starting, time : 1363.886 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1739.125 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1758.492 seconds. Range compression done, time = 1863.660 Motion comp. coeff. calculated, time = 1863.868 Motion comp. added to patch, time = 1939.612 Doppler estimation done, time = 1939.612 Azimuth compression starting, time : 1939.746 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2314.867 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2334.225 seconds. Range compression done, time = 2438.664 Motion comp. coeff. calculated, time = 2438.846 Motion comp. added to patch, time = 2514.631 Doppler estimation done, time = 2514.631 Azimuth compression starting, time : 2514.747 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2889.956 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_l.hh Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 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/cm5271_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_hv Name of the mocomp data file? /data3/airops/cm5271_l.mocomph Output file name? /data3/airops/cm5271_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lh xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.251 Processing 5 blocks Processing block number 1 reference line: 4096 2.251 seconds. Range compression done, time = 112.021 Motion comp. coeff. calculated, time = 112.097 Motion comp. added to patch, time = 191.396 Doppler estimation done, time = 191.397 Azimuth compression starting, time : 191.527 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 568.647 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 589.955 seconds. Range compression done, time = 694.713 Motion comp. coeff. calculated, time = 694.789 Motion comp. added to patch, time = 770.690 Doppler estimation done, time = 770.690 Azimuth compression starting, time : 770.818 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1172.279 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1188.724 seconds. Range compression done, time = 1294.187 Motion comp. coeff. calculated, time = 1294.428 Motion comp. added to patch, time = 1369.979 Doppler estimation done, time = 1369.980 Azimuth compression starting, time : 1370.108 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1779.024 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1798.046 seconds. Range compression done, time = 1903.383 Motion comp. coeff. calculated, time = 1903.578 Motion comp. added to patch, time = 1979.190 Doppler estimation done, time = 1979.190 Azimuth compression starting, time : 1979.323 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2390.578 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2409.860 seconds. Range compression done, time = 2514.395 Motion comp. coeff. calculated, time = 2514.506 Motion comp. added to patch, time = 2590.248 Doppler estimation done, time = 2590.248 Azimuth compression starting, time : 2590.364 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3002.749 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_l.hv Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 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/cm5271_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_vh Name of the mocomp data file? /data3/airops/cm5271_l.mocompv Output file name? /data3/airops/cm5271_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.242 Processing 5 blocks Processing block number 1 reference line: 4096 2.242 seconds. Range compression done, time = 111.949 Motion comp. coeff. calculated, time = 112.024 Motion comp. added to patch, time = 190.758 Doppler estimation done, time = 190.758 Azimuth compression starting, time : 190.875 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 569.692 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.110 seconds. Range compression done, time = 695.659 Motion comp. coeff. calculated, time = 695.768 Motion comp. added to patch, time = 771.631 Doppler estimation done, time = 771.631 Azimuth compression starting, time : 771.761 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1179.037 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1194.690 seconds. Range compression done, time = 1300.322 Motion comp. coeff. calculated, time = 1300.533 Motion comp. added to patch, time = 1376.070 Doppler estimation done, time = 1376.070 Azimuth compression starting, time : 1376.201 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1789.518 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1808.988 seconds. Range compression done, time = 1914.182 Motion comp. coeff. calculated, time = 1914.738 Motion comp. added to patch, time = 1994.578 Doppler estimation done, time = 1994.578 Azimuth compression starting, time : 1994.708 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2409.783 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2429.614 seconds. Range compression done, time = 2533.865 Motion comp. coeff. calculated, time = 2533.984 Motion comp. added to patch, time = 2609.723 Doppler estimation done, time = 2609.724 Azimuth compression starting, time : 2609.839 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3027.274 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_l.vh Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 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/cm5271_l.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 1.5 Radar wavelength (m) = .24007 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = .0 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = .54 .5199999 -.23 Receive leverarm x,y,z = .54 .5199999 -.23 Name of raw data file? /data1/airops/l_vv Name of the mocomp data file? /data3/airops/cm5271_l.mocompv Output file name? /data3/airops/cm5271_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.249 Processing 5 blocks Processing block number 1 reference line: 4096 2.249 seconds. Range compression done, time = 113.012 Motion comp. coeff. calculated, time = 113.087 Motion comp. added to patch, time = 223.051 Doppler estimation done, time = 223.052 Azimuth compression starting, time : 223.166 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 600.994 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 622.515 seconds. Range compression done, time = 727.478 Motion comp. coeff. calculated, time = 727.584 Motion comp. added to patch, time = 833.552 Doppler estimation done, time = 833.552 Azimuth compression starting, time : 833.680 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1236.695 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1251.971 seconds. Range compression done, time = 1357.954 Motion comp. coeff. calculated, time = 1358.174 Motion comp. added to patch, time = 1463.880 Doppler estimation done, time = 1463.880 Azimuth compression starting, time : 1464.005 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1873.233 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1892.904 seconds. Range compression done, time = 1998.291 Motion comp. coeff. calculated, time = 1998.492 Motion comp. added to patch, time = 2104.284 Doppler estimation done, time = 2104.284 Azimuth compression starting, time : 2104.433 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2516.662 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2536.033 seconds. Range compression done, time = 2640.687 Motion comp. coeff. calculated, time = 2640.843 Motion comp. added to patch, time = 2746.693 Doppler estimation done, time = 2746.693 Azimuth compression starting, time : 2746.822 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3160.574 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_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/cm5271_l.vv Name of the doppler parameter file? /data3/airops/cm5271_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/cm5271_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 = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 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: 996 *************************************** ***** ***** ***** 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 94046 writing parheadL writing parhead 20.0 writing parhead 82.09999 writing parhead 81.8 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.10234 -5.01354 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 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .067 .145 .292 .295 .351 .376 .217 .130 .110 .083 .183 .373 .358 .325 .310 .224 .140 .098 .083 .130 .283 .356 .424 .324 .230 .174 .147 .071 .052 .153 .402 .757 .520 .226 .152 .190 .077 .036 .112 .463 1.000 .684 .171 .082 .157 .080 .064 .128 .365 .716 .491 .098 .057 .150 .048 .077 .137 .239 .363 .247 .054 .065 .188 .016 .055 .126 .213 .284 .211 .055 .063 .185 .008 .040 .123 .262 .366 .303 .104 .067 .129 r_peak,r_snr = .2233767 8.19719 Correlation Surface of oversamples image at 146 3046 .248 .275 .306 .349 .357 .313 .251 .202 .160 .170 .241 .341 .462 .528 .482 .379 .290 .219 .118 .225 .395 .606 .749 .701 .525 .369 .257 .093 .221 .441 .723 .938 .890 .630 .396 .249 .089 .221 .451 .754 1.000 .952 .637 .351 .193 .101 .221 .423 .691 .911 .861 .550 .264 .122 .119 .217 .370 .570 .725 .670 .411 .173 .065 .134 .209 .314 .442 .529 .472 .279 .105 .032 .144 .199 .268 .343 .384 .332 .193 .068 .017 146 .188 3046 -.031 8.19719 .009542 .024295 -.000180 Correlation Surface at 246 3046 .134 .181 .156 .307 .485 .273 .061 .044 .075 .115 .175 .186 .337 .468 .282 .033 .008 .026 .111 .171 .226 .423 .531 .346 .051 .009 .019 .129 .141 .232 .540 .792 .516 .104 .027 .032 .158 .093 .182 .579 1.000 .694 .176 .064 .057 .221 .070 .117 .470 .848 .657 .233 .111 .087 .336 .110 .107 .347 .569 .432 .191 .090 .067 .452 .213 .174 .312 .399 .251 .082 .030 .022 .460 .292 .273 .343 .345 .169 .036 .021 .016 r_peak,r_snr = .2536182 8.20895 Correlation Surface of oversamples image at 246 3046 .152 .256 .429 .595 .642 .530 .337 .158 .050 .164 .273 .465 .659 .718 .597 .379 .176 .059 .172 .292 .513 .753 .840 .712 .456 .209 .070 .166 .297 .545 .831 .956 .836 .552 .256 .086 .140 .276 .534 .840 1.000 .911 .629 .308 .109 .105 .232 .474 .764 .934 .886 .648 .345 .136 .078 .184 .387 .634 .785 .765 .590 .346 .157 .070 .152 .308 .500 .617 .601 .477 .305 .156 .083 .146 .258 .396 .481 .459 .359 .232 .123 246 .063 3046 -.031 8.20895 .010452 .038455 -.004560 Correlation Surface at 346 3046 .007 .081 .174 .351 .475 .274 .460 .385 .024 .001 .082 .149 .242 .521 .337 .263 .226 .013 .007 .035 .081 .196 .642 .510 .212 .115 .008 .003 .012 .078 .294 .879 .684 .264 .084 .016 .003 .029 .193 .485 1.000 .685 .240 .050 .025 .008 .076 .324 .523 .752 .540 .147 .010 .013 .000 .082 .288 .384 .414 .332 .089 .003 .001 .006 .055 .187 .260 .289 .241 .099 .024 .000 .002 .068 .139 .201 .350 .378 .189 .065 .001 r_peak,r_snr = .1635436 7.31296 Correlation Surface of oversamples image at 346 3046 .056 .060 .151 .370 .565 .568 .470 .393 .349 .048 .057 .155 .408 .656 .676 .545 .421 .332 .056 .077 .198 .490 .781 .795 .618 .448 .330 .093 .138 .290 .610 .912 .899 .669 .458 .321 .171 .253 .425 .730 1.000 .957 .687 .442 .287 .279 .401 .563 .798 .996 .937 .663 .401 .230 .379 .528 .656 .791 .901 .839 .598 .343 .169 .429 .581 .673 .729 .766 .702 .506 .282 .123 .411 .548 .625 .651 .647 .574 .414 .230 .097 346 .188 3046 .719 7.31296 .023056 .108400 .020676 Correlation Surface at 446 3046 .258 .270 .334 .449 .765 .838 .644 .550 .446 .338 .272 .378 .531 .741 .754 .659 .560 .464 .414 .311 .445 .642 .781 .667 .583 .599 .547 .408 .323 .446 .675 .909 .762 .582 .641 .672 .386 .375 .433 .623 1.000 .952 .687 .673 .712 .425 .532 .525 .573 .896 .922 .704 .648 .624 .502 .680 .650 .571 .720 .710 .560 .543 .521 .504 .619 .609 .562 .649 .612 .460 .441 .478 .428 .452 .458 .528 .701 .698 .515 .459 .489 r_peak,r_snr = .3185768 2.32277 Correlation Surface of oversamples image at 446 3046 .569 .679 .748 .736 .682 .659 .695 .749 .771 .555 .695 .796 .796 .734 .697 .718 .761 .785 .513 .684 .835 .878 .831 .784 .775 .784 .786 .456 .644 .846 .949 .936 .888 .852 .818 .785 .408 .590 .818 .972 1.000 .965 .913 .844 .778 .388 .539 .757 .931 .990 .973 .923 .839 .753 .390 .493 .671 .830 .896 .890 .852 .775 .689 .401 .455 .580 .700 .754 .748 .718 .660 .589 .415 .436 .512 .590 .624 .613 .584 .541 .489 446 .438 3046 .156 2.32277 .017921 .076075 -.016454 Correlation Surface at 546 3046 .044 .020 .387 .660 .349 .106 .020 .013 .002 .075 .000 .236 .634 .474 .189 .064 .020 .003 .080 .000 .155 .608 .713 .386 .145 .023 .006 .081 .004 .205 .780 .984 .561 .192 .022 .011 .062 .029 .275 .881 1.000 .479 .151 .023 .004 .045 .041 .198 .569 .653 .241 .087 .037 .002 .055 .026 .105 .261 .358 .128 .063 .059 .011 .058 .027 .162 .278 .325 .159 .096 .060 .011 .027 .052 .361 .543 .498 .312 .162 .043 .003 r_peak,r_snr = .1701996 7.4691 Correlation Surface of oversamples image at 546 3046 .002 .049 .190 .405 .555 .529 .386 .243 .155 .009 .073 .225 .453 .615 .594 .448 .293 .189 .035 .134 .328 .587 .746 .693 .513 .334 .211 .086 .223 .466 .759 .900 .785 .546 .340 .204 .154 .310 .574 .883 1.000 .820 .527 .302 .171 .214 .351 .585 .875 .979 .771 .463 .243 .129 .232 .323 .491 .731 .832 .649 .373 .182 .094 .203 .256 .365 .548 .642 .507 .291 .142 .076 .151 .192 .275 .417 .493 .395 .238 .131 .082 546 .406 3046 8.188 7.46910 .028967 .087283 .011131 Correlation Surface at 646 3046 .077 .091 .090 .005 .108 .002 .078 .001 .015 .106 .091 .060 .012 .134 .000 .153 .046 .001 .077 .061 .015 .080 .325 .054 .061 .078 .006 .091 .058 .001 .294 .773 .323 .002 .014 .001 .176 .059 .002 .425 1.000 .524 .079 .018 .003 .204 .037 .028 .332 .571 .319 .115 .059 .008 .083 .011 .062 .240 .166 .067 .048 .032 .008 .006 .001 .075 .313 .117 .021 .020 .028 .019 .001 .001 .106 .469 .196 .065 .066 .068 .043 r_peak,r_snr = .1269485 13.74183 Correlation Surface of oversamples image at 646 3046 .086 .009 .021 .116 .132 .033 .009 .101 .190 .044 .001 .085 .256 .300 .140 .008 .027 .103 .023 .018 .194 .462 .553 .347 .094 .001 .022 .016 .040 .309 .681 .829 .609 .261 .056 .002 .016 .046 .362 .803 1.000 .804 .429 .155 .044 .015 .036 .318 .736 .954 .817 .494 .228 .100 .011 .022 .215 .521 .707 .642 .422 .225 .125 .004 .015 .121 .288 .400 .382 .267 .156 .104 .000 .016 .070 .134 .172 .164 .117 .074 .060 646 1.000 3046 -6.344 13.74184 .020192 .052502 .001190 Correlation Surface at 746 3046 .080 .050 .064 .115 .007 .005 .014 .011 .012 .474 .260 .000 .204 .042 .002 .039 .003 .014 .831 .328 .012 .392 .374 .090 .040 .008 .185 .392 .080 .003 .480 .938 .442 .043 .003 .228 .018 .002 .019 .218 1.000 .711 .055 .002 .041 .008 .000 .097 .009 .489 .530 .027 .012 .007 .020 .003 .156 .049 .096 .186 .005 .053 .006 .064 .001 .172 .185 .000 .026 .021 .026 .002 .071 .003 .256 .271 .027 .010 .008 .014 .033 r_peak,r_snr = 7.75622E-02 7.56532 Correlation Surface of oversamples image at 746 3046 .141 .002 .076 .086 .047 .017 .005 .002 .001 .232 .001 .170 .295 .257 .154 .069 .024 .000 .345 .002 .222 .549 .596 .405 .183 .054 .001 .457 .029 .180 .680 .893 .646 .271 .056 .000 .508 .096 .092 .625 1.000 .770 .293 .035 .013 .463 .167 .022 .439 .888 .748 .263 .012 .051 .362 .211 .000 .209 .600 .591 .204 .001 .111 .254 .228 .034 .038 .269 .363 .142 .000 .153 .199 .258 .134 .010 .042 .142 .076 .002 .149 746 -3.938 3046 .031 7.56532 .067645 .231835 -.075680 Correlation Surface at 846 3046 .101 .190 .042 .046 .151 .033 .004 .015 .007 .048 .124 .018 .183 .399 .067 .004 .056 .042 .018 .066 .011 .264 .672 .186 .005 .023 .060 .009 .040 .011 .280 .929 .323 .024 .000 .040 .004 .020 .010 .233 1.000 .399 .031 .001 .014 .001 .004 .000 .174 .722 .337 .023 .001 .002 .000 .000 .006 .142 .379 .152 .001 .013 .001 .000 .001 .009 .138 .305 .065 .017 .029 .003 .004 .005 .003 .144 .429 .113 .009 .026 .005 r_peak,r_snr = .1742874 17.94969 Correlation Surface of oversamples image at 846 3046 .030 .025 .252 .516 .542 .330 .121 .022 .000 .034 .018 .254 .582 .660 .426 .158 .030 .000 .027 .019 .279 .688 .812 .534 .193 .034 .001 .014 .026 .313 .791 .947 .618 .218 .036 .001 .004 .037 .338 .842 1.000 .644 .229 .040 .002 .000 .053 .343 .804 .931 .593 .219 .045 .003 .005 .072 .321 .677 .746 .466 .180 .044 .003 .018 .087 .280 .517 .527 .311 .117 .028 .001 .031 .096 .242 .388 .358 .185 .054 .006 .003 846 -.125 3046 .000 17.94970 .006262 .092305 -.003840 Correlation Surface at 946 3046 .027 .003 .076 .067 .324 .529 .303 .128 .001 .001 .000 .169 .165 .390 .673 .208 .078 .000 .033 .017 .100 .036 .645 .700 .081 .032 .001 .071 .023 .018 .033 .974 .646 .041 .029 .010 .042 .009 .000 .164 1.000 .580 .041 .017 .005 .031 .015 .001 .125 .695 .515 .047 .000 .001 .043 .036 .063 .002 .369 .449 .040 .003 .015 .056 .047 .307 .144 .196 .417 .029 .004 .035 .056 .100 .566 .393 .084 .286 .012 .001 .020 r_peak,r_snr = .1021393 9.13211 Correlation Surface of oversamples image at 946 3046 .176 .014 .177 .731 .945 .657 .378 .318 .411 .374 .097 .098 .703 1.000 .678 .340 .244 .317 .574 .227 .039 .626 .966 .627 .253 .136 .184 .708 .357 .005 .474 .786 .463 .128 .036 .063 .729 .410 .000 .315 .534 .249 .026 .000 .006 .623 .334 .001 .207 .314 .091 .001 .028 .002 946 .438 3046 5.219 9.13211 .021483 .336794 .030998 Correlation Surface at 1046 3046 .112 .002 .015 .015 .085 .062 .022 .006 .008 .103 .039 .006 .039 .137 .174 .083 .043 .030 .011 .011 .060 .231 .368 .353 .149 .047 .010 .037 .031 .203 .586 .836 .457 .109 .017 .008 .126 .158 .337 .773 1.000 .429 .071 .021 .006 .079 .148 .359 .712 .693 .336 .117 .069 .002 .056 .154 .335 .570 .446 .363 .238 .116 .001 .084 .283 .418 .525 .422 .436 .316 .120 .000 .026 .284 .537 .548 .447 .333 .237 .084 .003 r_peak,r_snr = .1200069 8.89608 Correlation Surface of oversamples image at 1046 3046 .018 .078 .163 .291 .394 .388 .303 .189 .106 .041 .122 .246 .448 .617 .570 .372 .178 .071 .068 .174 .340 .610 .850 .778 .464 .185 .057 .089 .220 .425 .726 .999 .929 .555 .221 .069 .098 .247 .476 .758 1.000 .956 .617 .281 .110 .099 .247 .468 .695 .870 .862 .630 .350 .174 .103 .233 .413 .570 .677 .707 .611 .427 .259 .128 .234 .360 .446 .497 .551 .575 .504 .354 .175 .261 .342 .366 .365 .414 .507 .530 .414 1046 2.188 3046 -6.750 8.89608 .040039 .121132 .016714 Correlation Surface at 1146 3046 .149 .026 .081 .130 .042 .004 .065 .022 .005 .006 .000 .085 .108 .039 .000 .057 .020 .007 .007 .007 .120 .300 .198 .029 .006 .000 .098 .000 .001 .092 .666 .592 .089 .001 .025 .183 .033 .033 .053 .976 1.000 .109 .000 .046 .169 .059 .029 .043 .783 .889 .075 .003 .030 .091 .076 .002 .024 .218 .309 .025 .002 .020 .012 .114 .000 .010 .015 .020 .001 .000 .016 .001 .121 .000 .021 .032 .002 .003 .001 .006 .003 r_peak,r_snr = .1264776 13.79138 Correlation Surface of oversamples image at 1146 3046 .034 .098 .242 .389 .396 .259 .095 .010 .002 .017 .081 .267 .505 .584 .429 .177 .024 .001 .005 .066 .285 .612 .775 .620 .282 .049 .000 .001 .060 .302 .695 .933 .789 .391 .086 .001 .002 .069 .319 .723 1.000 .876 .466 .127 .007 .007 .087 .309 .653 .909 .815 .452 .143 .017 .018 .097 .255 .488 .675 .613 .346 .120 .022 .028 .090 .176 .298 .404 .365 .207 .079 .022 .030 .068 .102 .147 .187 .163 .093 .042 .019 1146 -.406 3046 -.500 13.79138 .017628 .082634 .003889 Correlation Surface at 1246 3046 .036 .006 .205 .502 .522 .142 .091 .035 .003 .036 .000 .154 .543 .668 .292 .135 .080 .000 .096 .020 .085 .560 .801 .567 .312 .224 .035 .180 .048 .075 .626 .949 .791 .549 .463 .133 .176 .038 .095 .657 1.000 .748 .539 .520 .177 .109 .010 .106 .600 .884 .534 .263 .267 .149 .057 .001 .131 .538 .720 .372 .074 .064 .094 .042 .000 .178 .544 .642 .310 .035 .018 .043 .036 .000 .204 .558 .603 .288 .046 .013 .014 r_peak,r_snr = .1689908 6.02989 Correlation Surface of oversamples image at 1246 3046 .009 .060 .334 .681 .880 .862 .717 .533 .362 .010 .064 .354 .709 .905 .879 .716 .514 .333 .004 .080 .387 .752 .947 .910 .727 .497 .295 .000 .103 .418 .785 .984 .946 .749 .489 .255 .003 .128 .437 .794 1.000 .972 .773 .487 .221 .013 .153 .446 .782 .989 .977 .783 .481 .194 .024 .172 .445 .747 .939 .934 .751 .450 .167 .027 .175 .427 .684 .837 .825 .655 .378 .128 .032 .187 .428 .645 .748 .714 .552 .306 .097 1246 .688 3046 1.719 6.02989 .043777 .479464 .064439 Correlation Surface at 1346 3046 .024 .055 .191 .499 .704 .407 .068 .000 .003 .018 .043 .158 .436 .617 .388 .066 .000 .001 .016 .031 .140 .462 .660 .406 .083 .001 .000 .018 .034 .155 .575 .854 .468 .100 .004 .001 .027 .057 .191 .643 1.000 .527 .109 .006 .002 .041 .093 .233 .622 .986 .557 .118 .007 .002 .054 .110 .258 .594 .945 .592 .126 .007 .000 .057 .096 .247 .559 .887 .604 .128 .007 .001 .051 .073 .214 .524 .826 .599 .137 .008 .005 r_peak,r_snr = .3715917 8.22837 Correlation Surface of oversamples image at 1346 3046 .008 .109 .311 .497 .536 .407 .204 .043 .002 .009 .122 .365 .601 .649 .485 .242 .057 .000 .012 .143 .436 .735 .797 .584 .284 .069 .000 .016 .161 .493 .849 .929 .673 .315 .072 .000 .023 .171 .512 .896 1.000 .726 .329 .070 .000 .030 .171 .488 .867 .996 .739 .334 .067 .000 .037 .163 .443 .794 .947 .732 .340 .068 .000 .043 .158 .402 .724 .898 .732 .358 .074 .000 .047 .155 .376 .675 .862 .740 .383 .085 .000 1346 -.125 3046 .188 8.22837 .003337 .060512 -.001144 Correlation Surface at 1446 3046 .052 .000 .036 .126 .323 .402 .302 .066 .007 .044 .005 .099 .227 .400 .329 .246 .088 .008 .013 .031 .234 .482 .648 .349 .194 .143 .048 .007 .047 .330 .736 .960 .492 .187 .164 .090 .011 .038 .270 .649 1.000 .607 .203 .124 .053 .027 .006 .133 .402 .743 .637 .258 .101 .018 .041 .000 .065 .316 .530 .613 .305 .112 .022 .023 .000 .066 .357 .449 .507 .285 .130 .050 .012 .009 .086 .349 .425 .396 .215 .133 .072 r_peak,r_snr = .2095626 8.07929 Correlation Surface of oversamples image at 1446 3046 .158 .229 .318 .425 .501 .492 .412 .336 .275 .238 .349 .463 .574 .631 .576 .432 .304 .230 .322 .481 .627 .745 .786 .692 .485 .299 .203 .381 .579 .758 .888 .927 .814 .561 .321 .196 .396 .608 .802 .943 1.000 .902 .637 .360 .204 .362 .563 .746 .888 .976 .928 .691 .403 .226 .297 .475 .632 .759 .873 .891 .712 .440 .253 .227 .384 .513 .617 .740 .812 .699 .463 .280 .175 .321 .433 .510 .618 .716 .658 .465 .297 1446 .031 3046 -7.313 8.07929 .020432 .101172 -.025144 Correlation Surface at 1546 3046 .001 .026 .153 .464 .914 .718 .324 .220 .243 .007 .016 .122 .464 .951 .749 .341 .177 .152 .010 .020 .132 .497 .916 .660 .306 .150 .100 .011 .022 .148 .544 .940 .608 .244 .104 .071 .015 .020 .152 .530 1.000 .657 .200 .051 .032 .013 .025 .186 .518 .939 .681 .187 .035 .012 .007 .040 .259 .574 .778 .571 .176 .037 .015 .005 .052 .325 .620 .645 .448 .153 .038 .035 .005 .052 .317 .551 .534 .356 .127 .033 .061 r_peak,r_snr = .2701056 6.28584 Correlation Surface of oversamples image at 1546 3046 .232 .348 .547 .815 .973 .845 .550 .306 .198 .242 .382 .592 .853 1.000 .875 .586 .331 .202 .247 .403 .615 .848 .966 .844 .582 .341 .203 .256 .413 .607 .795 .874 .762 .543 .335 .199 .265 .404 .568 .706 .751 .653 .481 .312 .186 .260 .371 .505 .612 .636 .550 .414 .278 .166 1546 .531 3046 -3.781 6.28584 .007424 .260733 -.010002 Correlation Surface at 1646 3046 .022 .030 .167 .320 .402 .275 .092 .036 .033 .025 .054 .260 .503 .520 .309 .112 .047 .050 .021 .069 .318 .624 .664 .344 .106 .048 .074 .025 .072 .311 .720 .896 .438 .099 .046 .113 .044 .099 .277 .740 1.000 .465 .073 .041 .156 .058 .135 .242 .623 .863 .383 .048 .031 .152 .054 .124 .188 .473 .710 .325 .050 .030 .121 .032 .105 .156 .385 .580 .301 .060 .032 .089 .017 .125 .205 .383 .443 .254 .077 .037 .054 r_peak,r_snr = .2170862 10.74906 Correlation Surface of oversamples image at 1646 3046 .213 .308 .436 .577 .642 .550 .360 .195 .094 .219 .333 .488 .670 .762 .648 .408 .209 .096 .213 .353 .546 .772 .886 .744 .450 .216 .095 .199 .360 .592 .854 .977 .803 .465 .207 .084 .185 .353 .604 .881 1.000 .805 .449 .185 .067 .179 .334 .575 .843 .957 .764 .420 .164 .052 .178 .303 .513 .756 .867 .701 .389 .152 .043 .173 .267 .438 .652 .763 .632 .364 .149 .041 .167 .235 .371 .555 .665 .567 .339 .149 .044 1646 -.031 3046 -.094 10.74906 .011435 .116948 -.001331 Correlation Surface at 1746 3046 .018 .031 .018 .134 .343 .216 .086 .049 .070 .042 .023 .017 .072 .220 .190 .110 .048 .051 .048 .001 .002 .065 .207 .194 .119 .040 .039 .006 .015 .001 .207 .530 .336 .116 .015 .023 .008 .040 .011 .434 1.000 .508 .094 .001 .018 .006 .018 .027 .399 .835 .457 .082 .002 .024 .009 .002 .023 .212 .444 .314 .093 .013 .034 .041 .015 .011 .128 .333 .300 .128 .035 .046 .011 .000 .001 .106 .331 .313 .165 .064 .057 r_peak,r_snr = .211123 15.34188 Correlation Surface of oversamples image at 1746 3046 .009 .055 .145 .237 .277 .255 .205 .156 .100 .018 .103 .264 .433 .488 .402 .259 .146 .069 .036 .171 .415 .678 .766 .603 .334 .139 .042 .060 .240 .536 .857 .977 .767 .396 .131 .024 .081 .279 .569 .872 1.000 .807 .418 .125 .016 .085 .262 .497 .728 .842 .717 .398 .124 .015 .071 .202 .372 .531 .628 .581 .364 .135 .024 .046 .131 .255 .376 .468 .482 .353 .166 .045 .022 .072 .171 .287 .390 .441 .374 .217 .079 1746 -.063 3046 .281 15.34188 .007252 .018440 .000833 Correlation Surface at 1846 3046 .091 .326 .328 .334 .214 .100 .034 .003 .001 .049 .282 .314 .376 .328 .185 .094 .016 .000 .019 .175 .284 .479 .562 .276 .091 .019 .000 .010 .081 .252 .707 .892 .331 .046 .008 .001 .010 .034 .194 .768 1.000 .318 .024 .002 .000 .011 .027 .146 .499 .657 .230 .020 .001 .000 .009 .044 .156 .277 .322 .185 .042 .003 .000 .011 .075 .180 .193 .184 .203 .101 .013 .001 .023 .094 .169 .158 .125 .169 .106 .018 .003 r_peak,r_snr = .2524641 17.85119 Correlation Surface of oversamples image at 1846 3046 .229 .208 .225 .296 .372 .389 .326 .219 .131 .189 .207 .269 .389 .495 .504 .396 .235 .119 .151 .207 .331 .526 .666 .644 .472 .250 .106 .116 .204 .397 .681 .862 .798 .552 .274 .103 .085 .191 .431 .783 1.000 .905 .607 .295 .106 .058 .163 .408 .766 .994 .898 .597 .293 .107 .039 .132 .343 .642 .841 .771 .524 .266 .104 .031 .109 .268 .471 .607 .570 .409 .225 .099 .032 .100 .208 .319 .383 .368 .291 .186 .099 1846 .594 3046 -.250 17.85119 .006008 .023830 -.000543 Correlation Surface at 1946 3046 .594 .641 .723 .890 .827 .741 .811 .820 .739 .590 .622 .653 .773 .796 .713 .729 .756 .740 .610 .629 .649 .735 .816 .733 .698 .749 .737 .667 .669 .722 .839 .927 .800 .701 .755 .703 .749 .738 .789 .922 1.000 .860 .727 .715 .668 r_peak,r_snr = .4155835 1.56772 Correlation Surface of oversamples image at 1946 3046 .567 .631 .743 .831 .798 .674 .533 .445 .421 .609 .682 .804 .902 .869 .728 .568 .464 .422 .637 .718 .853 .968 .942 .782 .600 .484 .432 .652 .730 .866 1.000 .993 .824 .626 .504 .450 .664 .724 .840 .978 1.000 .848 .649 .526 .474 .680 .709 .786 .908 .956 .844 .667 .548 .498 .704 .696 .727 .818 .878 .816 .678 .570 .520 .734 .691 .681 .735 .792 .773 .683 .593 .536 .753 .691 .654 .676 .717 .724 .675 .611 .544 1946 -9.219 3046 14.188 1.56772 .025199 .048124 .000739 Correlation Surface at 2046 3046 .007 .001 .028 .047 .221 .113 .008 .039 .086 .016 .001 .018 .017 .220 .243 .061 .006 .121 .001 .021 .008 .070 .299 .223 .016 .006 .096 .125 .141 .131 .374 .736 .196 .001 .026 .113 .435 .235 .163 .480 1.000 .247 .002 .004 .072 .478 .211 .095 .290 .683 .316 .062 .004 .016 .177 .120 .098 .276 .497 .348 .121 .008 .095 .005 .032 .130 .410 .538 .384 .086 .080 .394 .010 .015 .166 .404 .530 .392 .070 .028 .343 r_peak,r_snr = 9.55528E-02 11.52486 Correlation Surface of oversamples image at 2046 3046 .012 .051 .159 .285 .383 .288 .075 .001 .008 .032 .104 .287 .501 .586 .353 .060 .001 .014 .040 .119 .349 .683 .810 .456 .074 .000 .004 .040 .104 .330 .748 .968 .579 .127 .009 .003 .037 .086 .276 .695 1.000 .688 .229 .065 .042 .029 .068 .222 .586 .926 .766 .381 .185 .111 .019 .059 .199 .513 .855 .848 .580 .362 .187 .009 .051 .190 .477 .818 .931 .786 .547 .243 .000 .030 .155 .408 .738 .937 .896 .642 .245 2046 -.031 3046 .344 11.52487 .023112 .127111 -.010073 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .106 .147 .218 .407 .619 .581 .343 .204 .096 .138 .173 .200 .344 .522 .503 .275 .208 .074 .145 .183 .156 .280 .529 .477 .246 .246 .123 .140 .202 .164 .315 .785 .664 .285 .240 .189 .119 .205 .235 .421 1.000 .918 .358 .184 .170 .094 .156 .287 .488 .834 .846 .380 .159 .103 .085 .101 .246 .454 .601 .591 .324 .171 .081 .072 .075 .181 .375 .514 .429 .247 .161 .102 .043 .047 .125 .305 .465 .361 .213 .132 .112 r_peak,r_snr = .3034768 8.64053 Correlation Surface of oversamples image at 146 3446 .175 .249 .360 .443 .428 .323 .195 .109 .081 .203 .302 .475 .621 .600 .434 .248 .125 .079 .259 .378 .606 .826 .823 .594 .328 .149 .074 .336 .458 .699 .956 .990 .738 .411 .177 .071 .416 .525 .722 .945 1.000 .782 .457 .200 .074 .480 .568 .689 .828 .864 .701 .437 .207 .081 .518 .596 .652 .703 .692 .559 .365 .194 .091 .527 .615 .644 .634 .567 .430 .276 .161 .095 .497 .609 .652 .618 .502 .339 .199 .119 .083 146 .344 3446 .250 8.64053 .007045 .021665 .000625 Correlation Surface at 246 3446 .379 .297 .311 .351 .284 .251 .223 .147 .118 .412 .339 .343 .407 .306 .267 .221 .183 .126 .468 .370 .338 .501 .492 .352 .234 .202 .128 .497 .408 .332 .571 .827 .561 .319 .217 .137 .423 .418 .358 .535 1.000 .756 .420 .268 .177 .308 .354 .391 .464 .863 .751 .460 .340 .240 .207 .244 .350 .440 .702 .635 .459 .404 .315 .114 .149 .236 .384 .622 .547 .429 .431 .369 .065 .103 .157 .271 .499 .480 .378 .407 .341 r_peak,r_snr = .2779326 5.32887 Correlation Surface of oversamples image at 246 3446 .308 .377 .466 .497 .439 .353 .295 .258 .217 .305 .381 .522 .641 .624 .500 .381 .304 .239 .305 .372 .546 .756 .816 .680 .498 .371 .278 .313 .357 .533 .803 .955 .850 .627 .451 .329 .333 .349 .498 .780 1.000 .957 .735 .527 .382 .363 .356 .463 .713 .955 .976 .791 .580 .426 .386 .373 .443 .639 .862 .921 .789 .603 .456 .387 .391 .439 .583 .766 .836 .747 .600 .473 .357 .392 .441 .548 .687 .747 .683 .572 .475 246 .188 3446 .125 5.32887 .009354 .042603 -.006731 Correlation Surface at 346 3446 .050 .145 .252 .799 .438 .003 .052 .077 .008 .006 .053 .192 .760 .710 .071 .017 .094 .030 .003 .002 .160 .741 .875 .153 .008 .107 .075 .017 .000 .175 .906 .989 .141 .019 .091 .053 .070 .009 .081 .853 1.000 .116 .015 .055 .023 .224 .062 .003 .465 .771 .131 .000 .020 .015 .361 .116 .000 .216 .444 .139 .006 .006 .016 .350 .139 .012 .178 .256 .081 .008 .000 .007 .274 .127 .022 .210 .261 .041 .003 .003 .000 r_peak,r_snr = .1341996 9.58403 Correlation Surface of oversamples image at 346 3446 .124 .217 .407 .711 .951 .811 .371 .055 .004 .098 .209 .409 .704 .954 .874 .460 .097 .000 .091 .240 .471 .753 .964 .882 .493 .120 .001 .092 .286 .562 .836 .986 .852 .464 .110 .000 .080 .297 .616 .897 1.000 .802 .401 .080 .001 .045 .238 .571 .876 .967 .735 .333 .054 .004 .007 .128 .425 .747 .861 .648 .276 .040 .004 .005 .036 .250 .558 .704 .547 .235 .036 .001 .043 .001 .122 .380 .540 .443 .203 .039 .000 346 -.594 3446 .156 9.58403 .017364 .370114 -.037266 Correlation Surface at 446 3446 .126 .188 .209 .318 .747 .727 .389 .321 .218 .143 .159 .162 .244 .613 .621 .350 .296 .178 .178 .117 .150 .253 .540 .497 .290 .209 .101 .286 .149 .190 .412 .740 .476 .261 .211 .086 .394 .209 .219 .557 1.000 .425 .228 .298 .153 .336 .176 .181 .499 .965 .346 .186 .340 .273 .192 .106 .108 .346 .731 .339 .202 .305 .346 .144 .165 .137 .298 .585 .417 .268 .276 .333 .164 .334 .284 .342 .526 .495 .303 .229 .236 r_peak,r_snr = .2047159 4.32661 Correlation Surface of oversamples image at 446 3446 .065 .138 .267 .418 .523 .514 .398 .257 .154 .094 .208 .391 .567 .641 .556 .382 .233 .150 .127 .277 .517 .740 .797 .625 .378 .218 .159 .154 .324 .603 .875 .936 .690 .375 .206 .170 .165 .334 .622 .922 1.000 .727 .376 .201 .180 .154 .307 .574 .866 .961 .713 .378 .209 .190 .129 .258 .486 .744 .841 .649 .373 .225 .201 .109 .215 .401 .615 .702 .567 .364 .246 .216 .105 .193 .343 .517 .589 .493 .351 .266 .233 446 -.125 3446 .531 4.32661 .008856 .090079 .007615 Correlation Surface at 546 3446 .039 .046 .047 .334 .575 .179 .142 .101 .056 .084 .083 .070 .446 .899 .308 .172 .194 .083 .129 .143 .139 .521 .937 .409 .215 .325 .186 .139 .214 .237 .594 .954 .499 .243 .351 .280 .070 .230 .321 .610 1.000 .588 .246 .226 .219 .008 .104 .283 .547 .919 .604 .262 .110 .089 .004 .018 .148 .469 .815 .532 .307 .129 .057 .042 .015 .061 .420 .816 .451 .324 .232 .089 .102 .076 .058 .399 .787 .394 .303 .277 .092 r_peak,r_snr = .162167 7.72774 Correlation Surface of oversamples image at 546 3446 .037 .075 .222 .515 .761 .716 .466 .263 .194 .076 .110 .254 .535 .774 .751 .524 .314 .224 .121 .155 .309 .600 .849 .823 .589 .361 .241 .155 .203 .375 .685 .947 .909 .650 .398 .244 .160 .237 .431 .747 1.000 .955 .689 .425 .247 .128 .238 .449 .742 .948 .903 .672 .434 .257 .077 .202 .415 .663 .798 .747 .585 .417 .273 .035 .150 .348 .547 .616 .553 .459 .377 .293 .013 .104 .278 .436 .462 .389 .334 .322 .308 546 .188 3446 3.500 7.72774 .025045 .861368 -.055397 Correlation Surface at 646 3446 .038 .003 .038 .307 .602 .379 .045 .001 .011 .051 .016 .044 .346 .570 .300 .034 .002 .023 .040 .029 .022 .393 .671 .212 .000 .000 .035 .030 .029 .006 .423 .950 .265 .007 .009 .038 .022 .014 .004 .339 1.000 .405 .003 .004 .035 .010 .004 .005 .174 .569 .349 .061 .012 .035 .017 .011 .001 .107 .263 .162 .080 .043 .026 .050 .051 .010 .094 .240 .099 .052 .036 .014 .053 .067 .034 .069 .339 .151 .040 .023 .008 r_peak,r_snr = .1929495 15.13234 Correlation Surface of oversamples image at 646 3446 .043 .215 .502 .731 .692 .430 .187 .062 .015 .026 .188 .509 .799 .778 .473 .175 .034 .001 .014 .150 .485 .850 .887 .559 .199 .026 .001 .009 .115 .432 .854 .981 .676 .267 .039 .002 .007 .087 .358 .785 1.000 .775 .365 .083 .001 .007 .064 .271 .642 .903 .789 .443 .151 .024 .006 .045 .185 .465 .707 .681 .441 .206 .076 .004 .028 .116 .302 .482 .493 .354 .212 .128 .000 .014 .072 .192 .308 .316 .238 .173 .147 646 -.063 3446 -.750 15.13235 .006689 .038887 -.004879 Correlation Surface at 746 3446 .010 .011 .048 .143 .313 .393 .174 .025 .000 .002 .000 .053 .186 .386 .470 .226 .016 .000 .000 .005 .077 .237 .533 .549 .269 .029 .000 .016 .060 .119 .287 .832 .766 .371 .124 .009 .038 .066 .105 .300 1.000 .859 .466 .290 .029 .040 .009 .050 .282 .787 .552 .346 .269 .029 .021 .000 .023 .250 .481 .242 .128 .102 .014 .001 .000 .016 .159 .298 .138 .037 .025 .008 .001 .003 .009 .060 .210 .148 .044 .017 .005 r_peak,r_snr = .1606996 13.40183 Correlation Surface of oversamples image at 746 3446 .025 .068 .165 .323 .490 .578 .543 .400 .193 .039 .085 .208 .416 .618 .685 .605 .438 .222 .069 .119 .270 .534 .774 .804 .652 .446 .238 .109 .163 .339 .651 .925 .916 .690 .448 .256 .141 .191 .379 .717 1.000 .961 .693 .441 .277 .139 .179 .357 .685 .943 .881 .624 .404 .288 .103 .132 .279 .562 .765 .685 .477 .325 .266 .060 .084 .194 .412 .549 .458 .300 .213 .202 .032 .056 .138 .294 .372 .279 .160 .107 .115 746 .188 3446 -1.469 13.40184 .017485 .097245 .007841 Correlation Surface at 846 3446 .222 .075 .057 .350 .377 .020 .153 .016 .005 .307 .145 .039 .273 .394 .035 .093 .000 .001 .127 .091 .039 .206 .455 .166 .006 .013 .011 .010 .030 .083 .362 .757 .457 .022 .039 .038 .001 .038 .224 .674 1.000 .490 .074 .100 .089 .014 .075 .334 .845 .915 .307 .070 .108 .094 .019 .044 .201 .665 .598 .139 .037 .065 .070 .001 .000 .027 .389 .322 .021 .001 .019 .056 .003 .028 .001 .247 .265 .002 .024 .002 .022 r_peak,r_snr = .1088547 5.99547 Correlation Surface of oversamples image at 846 3446 .002 .040 .219 .488 .551 .273 .016 .048 .135 .000 .017 .144 .414 .594 .428 .117 .001 .021 .001 .016 .142 .440 .716 .652 .323 .084 .007 .000 .040 .207 .551 .881 .863 .532 .227 .066 .017 .109 .339 .705 1.000 .936 .599 .286 .101 .073 .234 .514 .837 .989 .825 .492 .217 .065 .150 .371 .665 .876 .838 .587 .297 .097 .012 .175 .418 .684 .772 .590 .316 .114 .015 .004 .111 .324 .546 .562 .333 .108 .013 .003 .045 846 -5.844 3446 8.594 5.99547 .078052 .419401 .122488 Correlation Surface at 946 3446 .493 1.245 1.260 .117 .091 .103 .029 .119 .386 .412 1.250 1.278 .199 .072 .084 .051 .218 .546 .176 .777 .837 .071 .200 .100 .019 .158 .554 .043 .344 .428 .006 .638 .201 .013 .092 .393 .024 .244 .315 .058 1.000 .308 .063 .149 .304 .099 .401 .369 .013 .708 .231 .117 .278 .238 .185 .607 .446 .012 .246 .090 .074 .263 .157 .073 .493 .464 .058 .068 .044 .031 .111 .111 .000 .241 .401 .049 .062 .040 .003 .007 .066 r_peak,r_snr = .1159545 8.92908 Correlation Surface of oversamples image at 946 3446 .610 .380 .084 .008 .117 .150 .101 .072 .090 .446 .236 .015 .083 .289 .291 .155 .074 .064 .333 .138 .001 .242 .569 .525 .262 .101 .060 .277 .094 .022 .419 .861 .781 .400 .158 .085 .260 .086 .032 .496 1.000 .916 .499 .223 .137 .268 .100 .018 .422 .896 .836 .472 .239 .181 .287 .122 .002 .272 .645 .611 .342 .184 .176 .297 .132 .001 .150 .413 .399 .212 .114 .134 .305 .135 .005 .077 .255 .257 .131 .067 .088 946 .188 3446 .063 8.92908 .007979 .065148 .000115 Correlation Surface at 1046 3446 .096 .008 .056 .163 .126 .056 .001 .003 .012 .120 .033 .055 .225 .136 .081 .002 .004 .008 .056 .033 .059 .412 .296 .098 .000 .001 .004 .012 .006 .113 .661 .753 .193 .003 .000 .009 .006 .000 .143 .596 1.000 .300 .012 .000 .003 .005 .004 .134 .285 .568 .229 .023 .001 .006 .001 .002 .077 .091 .155 .082 .042 .004 .019 .001 .000 .020 .031 .042 .024 .034 .029 .002 .011 .008 .021 .035 .030 .021 .000 .000 .006 r_peak,r_snr = .1187942 17.84351 Correlation Surface of oversamples image at 1046 3446 .061 .135 .183 .172 .130 .089 .061 .038 .008 .074 .157 .268 .333 .288 .174 .080 .028 .001 .092 .167 .334 .538 .568 .369 .147 .033 .000 .109 .159 .346 .684 .871 .646 .267 .050 .000 .125 .139 .292 .668 1.000 .850 .388 .075 .000 .150 .126 .212 .508 .867 .848 .441 .099 .002 .179 .124 .146 .316 .581 .649 .392 .113 .009 .198 .131 .113 .188 .335 .403 .284 .115 .028 .192 .138 .109 .138 .207 .240 .191 .115 .061 1046 .125 3446 .063 17.84351 .021375 .059590 -.010093 Correlation Surface at 1146 3446 .050 .007 .004 .022 .009 .012 .047 .054 .205 .350 .045 .001 .028 .015 .066 .169 .005 .198 1.128 .199 .034 .064 .138 .040 .210 .045 .152 1.752 .449 .063 .207 .619 .046 .031 .005 .047 1.135 .258 .001 .356 1.000 .305 .036 .005 .011 .248 .001 .139 .465 .729 .232 .008 .011 .154 .030 .057 .378 .686 .584 .133 .064 .213 .366 .047 .001 .222 .801 .674 .202 .075 .402 .484 .116 .130 .019 .487 .561 .254 .000 .251 .403 r_peak,r_snr = 7.96448E-02 6.20952 Correlation Surface of oversamples image at 1146 3446 .066 .021 .003 .103 .257 .270 .103 .001 .112 .079 .013 .021 .220 .450 .443 .221 .023 .027 .087 .004 .067 .393 .710 .669 .386 .118 .003 .076 .000 .129 .556 .935 .866 .540 .245 .068 .043 .010 .189 .628 1.000 .915 .581 .303 .136 .010 .041 .240 .601 .881 .774 .464 .234 .115 .001 .094 .291 .544 .692 .557 .289 .114 .041 .015 .156 .358 .528 .569 .408 .171 .038 .002 .025 .192 .425 .570 .546 .360 .130 .015 .005 1146 3.156 3446 -4.094 6.20952 .029178 .142006 -.002255 Correlation Surface at 1246 3446 .339 .416 .504 .710 .883 .839 .776 .680 .632 .322 .435 .553 .719 .846 .844 .797 .691 .633 .313 .400 .552 .761 .899 .896 .801 .690 .603 .319 .361 .500 .788 .991 .927 .754 .663 .585 .317 .364 .471 .755 1.000 .901 .712 .639 .589 .305 .384 .493 .729 .960 .877 .728 .651 .594 .315 .388 .526 .762 .968 .891 .753 .657 .589 .351 .395 .548 .811 .990 .886 .739 .639 .595 .377 .418 .564 .811 .959 .853 .733 .621 .601 r_peak,r_snr = .4898267 2.03775 Correlation Surface of oversamples image at 1246 3446 .608 .712 .796 .847 .871 .877 .863 .816 .738 .628 .743 .834 .891 .918 .913 .881 .823 .745 .632 .768 .876 .943 .963 .933 .874 .805 .734 .623 .775 .904 .983 .993 .934 .846 .768 .709 .608 .764 .908 .997 1.000 .919 .811 .729 .680 .597 .747 .892 .986 .987 .898 .784 .703 .660 .596 .734 .873 .965 .966 .883 .775 .697 .655 .608 .735 .864 .949 .952 .880 .784 .709 .662 .627 .752 .874 .949 .950 .888 .803 .729 .674 1246 .281 3446 -3.750 2.03775 .006798 .235085 -.002575 Correlation Surface at 1346 3446 .114 .207 .413 .716 .849 .609 .282 .112 .050 .109 .211 .429 .736 .851 .627 .295 .108 .054 .112 .210 .455 .799 .890 .632 .298 .110 .054 .123 .207 .441 .824 .967 .654 .292 .109 .047 .130 .216 .421 .782 1.000 .693 .298 .109 .038 .125 .231 .437 .744 .934 .678 .299 .110 .039 .122 .229 .477 .772 .858 .610 .279 .107 .045 .130 .213 .492 .811 .853 .584 .268 .107 .048 .145 .213 .479 .804 .872 .610 .275 .107 .045 r_peak,r_snr = .5858457 5.37217 Correlation Surface of oversamples image at 1346 3446 .398 .560 .721 .841 .868 .779 .604 .413 .255 .412 .589 .764 .888 .904 .795 .606 .410 .252 .417 .603 .792 .930 .946 .819 .608 .402 .244 .413 .600 .797 .951 .983 .850 .620 .400 .238 .408 .583 .777 .944 1.000 .880 .641 .406 .238 .406 .566 .744 .911 .989 .892 .658 .417 .242 .414 .559 .716 .868 .949 .874 .658 .421 .245 .431 .569 .706 .830 .895 .828 .633 .411 .242 .454 .595 .719 .811 .845 .771 .592 .389 .231 1346 -.125 3446 -.750 5.37217 .002093 .032112 -.001919 Correlation Surface at 1446 3446 .030 .250 .398 .506 .270 .125 .033 .002 .004 .000 .131 .345 .560 .362 .094 .019 .008 .000 .005 .060 .306 .600 .592 .125 .018 .015 .020 .003 .083 .417 .757 .858 .252 .023 .002 .001 .027 .077 .438 .902 1.000 .409 .040 .051 .133 .003 .019 .277 .759 .745 .409 .086 .033 .194 .023 .000 .220 .611 .397 .318 .199 .007 .045 .042 .000 .281 .614 .276 .271 .353 .104 .003 .041 .000 .257 .566 .267 .239 .341 .103 .032 r_peak,r_snr = .1077896 7.1051 Correlation Surface of oversamples image at 1446 3446 1.360 2.093 2.882 3.614 4.000 3.618 2.455 1.334 .770 .922 1.694 2.542 3.324 3.831 3.603 2.462 1.291 .711 .437 1.087 1.912 2.770 3.488 3.555 2.537 1.319 .703 .151 .606 1.303 2.110 2.949 3.330 2.554 1.330 .670 .079 .445 1.043 1.720 2.536 3.122 2.604 1.405 .664 1446 .063 3446 6.188 7.10510 .062306 .214416 -.025917 Correlation Surface at 1546 3446 .022 .072 .019 .138 .563 .340 .038 .004 .002 .016 .053 .011 .166 .722 .540 .056 .001 .000 .012 .022 .000 .248 .827 .588 .061 .000 .002 .018 .005 .030 .391 .911 .552 .072 .000 .005 .050 .008 .064 .502 1.000 .568 .083 .000 .009 .082 .027 .053 .457 .971 .544 .071 .002 .022 .056 .027 .030 .356 .834 .429 .042 .007 .052 .027 .008 .028 .330 .730 .342 .026 .005 .054 .015 .000 .043 .336 .617 .292 .024 .001 .020 r_peak,r_snr = .2178529 9.65977 Correlation Surface of oversamples image at 1546 3446 .001 .052 .272 .602 .811 .703 .392 .143 .040 .002 .089 .344 .681 .862 .719 .398 .152 .048 .011 .126 .412 .766 .934 .771 .436 .178 .061 .017 .144 .443 .816 .992 .833 .494 .217 .079 .017 .139 .425 .801 1.000 .873 .551 .261 .098 .014 .121 .373 .729 .948 .864 .576 .287 .108 .010 .105 .324 .645 .863 .807 .551 .276 .098 .009 .102 .306 .595 .790 .731 .492 .236 .074 .012 .113 .324 .594 .750 .665 .423 .186 .049 1546 .031 3446 3.344 9.65977 .009075 .463943 .013365 Correlation Surface at 1646 3446 .002 .020 .076 .220 .366 .085 .003 .008 .009 .002 .010 .064 .283 .517 .129 .000 .010 .015 .001 .007 .066 .311 .649 .249 .019 .006 .025 .001 .013 .081 .346 .865 .534 .123 .001 .014 .002 .023 .109 .382 1.000 .781 .247 .034 .000 .007 .023 .143 .341 .767 .652 .263 .093 .022 .023 .013 .174 .268 .446 .378 .217 .122 .035 .066 .003 .195 .281 .345 .259 .142 .092 .015 .129 .001 .182 .328 .387 .267 .084 .031 .000 r_peak,r_snr = .2101377 9.74794 Correlation Surface of oversamples image at 1646 3446 .175 .298 .449 .504 .403 .237 .104 .035 .008 .189 .329 .512 .613 .544 .370 .197 .087 .030 .199 .360 .586 .751 .731 .554 .335 .168 .070 .206 .386 .651 .878 .908 .736 .479 .258 .115 .213 .399 .680 .940 1.000 .839 .572 .322 .149 .219 .391 .651 .900 .965 .820 .577 .338 .165 .223 .363 .570 .768 .816 .698 .504 .309 .161 .227 .328 .468 .602 .627 .535 .397 .257 .148 .232 .298 .380 .458 .464 .390 .293 .201 .128 1646 .375 3446 .125 9.74794 .010775 .055745 -.003001 Correlation Surface at 1746 3446 .001 .000 .009 .121 .198 .131 .056 .028 .007 .007 .006 .006 .076 .088 .037 .013 .004 .002 .018 .019 .005 .102 .159 .030 .001 .001 .001 .001 .013 .027 .282 .604 .176 .004 .002 .008 .002 .006 .070 .417 1.000 .406 .020 .000 .016 .000 .010 .059 .235 .571 .253 .022 .000 .035 .008 .013 .026 .088 .160 .039 .004 .001 .056 .003 .014 .026 .105 .125 .014 .000 .000 .047 .003 .019 .060 .194 .248 .065 .000 .010 .039 r_peak,r_snr = .2026135 21.62177 Correlation Surface of oversamples image at 1746 3446 .013 .044 .111 .162 .136 .072 .034 .018 .010 .022 .071 .185 .310 .316 .203 .094 .037 .013 .035 .110 .289 .523 .604 .443 .221 .079 .023 .052 .151 .384 .719 .893 .714 .380 .140 .040 .065 .172 .415 .778 1.000 .841 .474 .187 .058 .070 .162 .357 .652 .843 .726 .428 .185 .069 .065 .130 .250 .428 .539 .462 .280 .135 .064 .056 .099 .160 .240 .279 .227 .135 .072 .046 .048 .084 .117 .143 .142 .102 .055 .030 .026 1746 .031 3446 -.031 21.62177 .006407 .012879 -.000842 Correlation Surface at 1846 3446 .007 .004 .136 .561 .856 .552 .182 .017 .002 .003 .004 .120 .502 .776 .520 .182 .026 .000 .000 .016 .124 .500 .779 .520 .195 .035 .000 .001 .031 .143 .583 .968 .575 .188 .034 .001 .000 .024 .137 .564 1.000 .590 .182 .034 .005 .001 .011 .113 .464 .805 .540 .214 .048 .007 .000 .003 .092 .413 .698 .549 .279 .067 .004 .001 .001 .079 .419 .719 .586 .297 .074 .002 .000 .002 .079 .425 .759 .592 .246 .065 .004 r_peak,r_snr = .3855082 8.08788 Correlation Surface of oversamples image at 1846 3446 .152 .306 .504 .682 .747 .660 .468 .275 .144 .161 .322 .536 .725 .783 .678 .474 .273 .139 .170 .343 .588 .809 .871 .737 .500 .279 .136 .171 .354 .627 .888 .968 .808 .531 .287 .134 .160 .338 .619 .902 1.000 .834 .541 .288 .133 .142 .304 .565 .838 .942 .794 .522 .285 .138 .124 .268 .498 .738 .834 .717 .490 .289 .154 .110 .241 .442 .646 .727 .639 .465 .302 .181 .101 .228 .415 .591 .657 .590 .456 .325 .215 1846 -.094 3446 3.313 8.08788 .002999 .028787 -.001054 Correlation Surface at 1946 3446 .491 .565 .678 .768 .813 .737 .601 .464 .353 .482 .539 .648 .768 .866 .766 .608 .467 .349 .451 .518 .639 .804 .927 .786 .610 .479 .357 .440 .519 .662 .872 .983 .822 .638 .499 .378 .455 .525 .697 .919 1.000 .849 .671 .506 .380 .461 .517 .710 .920 .967 .837 .671 .493 .359 .449 .509 .705 .902 .920 .783 .634 .493 .357 .446 .516 .699 .890 .875 .737 .610 .515 .386 .458 .529 .697 .844 .831 .736 .622 .526 .399 r_peak,r_snr = .7226738 2.54463 Correlation Surface of oversamples image at 1946 3446 .568 .686 .808 .899 .926 .863 .724 .547 .383 .583 .707 .834 .928 .952 .881 .735 .555 .388 .604 .730 .856 .952 .976 .900 .749 .564 .393 .624 .749 .871 .968 .993 .916 .763 .575 .400 .637 .758 .877 .974 1.000 .923 .772 .585 .408 .642 .761 .877 .971 .994 .917 .770 .590 .417 .642 .763 .876 .960 .974 .894 .752 .584 .423 .641 .770 .880 .947 .943 .856 .718 .566 .421 .642 .784 .892 .939 .911 .814 .682 .543 .416 1946 -.125 3446 .094 2.54463 .002873 .037267 .001535 Correlation Surface at 2046 3446 .013 .002 .009 .016 .000 .005 .041 .189 .029 .033 .003 .000 .001 .000 .002 .024 .249 .011 .107 .135 .037 .011 .001 .003 .015 .155 .018 .225 .329 .100 .108 .215 .078 .028 .104 .039 .176 .227 .144 .456 1.000 .280 .049 .137 .090 .027 .050 .118 .516 .741 .083 .010 .153 .111 .001 .003 .084 .248 .105 .001 .003 .088 .061 .009 .005 .085 .121 .011 .000 .000 .049 .026 .134 .038 .151 .103 .022 .053 .015 .014 .035 r_peak,r_snr = .1178145 18.14418 Correlation Surface of oversamples image at 2046 3446 .002 .030 .014 .014 .074 .039 .013 .044 .150 .010 .002 .002 .112 .268 .176 .082 .108 .226 .055 .013 .067 .360 .623 .418 .181 .134 .193 .123 .089 .241 .693 .956 .584 .196 .073 .070 .194 .219 .443 .880 1.000 .513 .100 .003 .000 .227 .320 .521 .776 .727 .286 .010 .038 .056 .209 .332 .448 .509 .391 .110 .006 .123 .125 .181 .295 .326 .282 .185 .044 .015 .110 .090 .180 .270 .237 .159 .102 .039 .001 .027 .018 2046 -.125 3446 .375 18.14419 .016055 .021219 .004070 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .024 .138 .158 .167 .232 .213 .072 .050 .049 .011 .082 .106 .187 .241 .234 .120 .087 .105 .003 .061 .084 .245 .330 .211 .119 .097 .110 .000 .037 .096 .351 .675 .338 .104 .065 .048 .001 .012 .095 .385 1.000 .558 .113 .051 .020 .003 .004 .076 .255 .729 .495 .113 .051 .023 .001 .014 .080 .153 .348 .292 .106 .045 .029 .001 .038 .094 .148 .231 .213 .123 .070 .048 .017 .056 .089 .172 .242 .223 .163 .145 .101 r_peak,r_snr = .2751846 18.93084 Correlation Surface of oversamples image at 146 3846 .003 .000 .026 .085 .099 .055 .013 .000 .001 .005 .001 .048 .179 .245 .156 .042 .002 .001 .003 .002 .083 .331 .521 .391 .134 .017 .000 .001 .006 .116 .479 .840 .719 .296 .055 .004 .000 .010 .124 .522 1.000 .950 .449 .103 .012 .001 .011 .096 .418 .871 .909 .477 .126 .018 .001 .009 .052 .238 .552 .635 .366 .108 .019 .002 .006 .020 .095 .254 .329 .211 .071 .015 .003 .005 .007 .029 .089 .132 .096 .040 .013 146 .219 3846 .094 18.93084 .004295 .012328 -.001368 Correlation Surface at 246 3846 .060 .066 .180 .401 .395 .196 .099 .065 .048 .035 .058 .214 .433 .387 .205 .088 .069 .063 .036 .069 .283 .617 .488 .214 .126 .111 .112 .044 .071 .309 .905 .776 .258 .176 .215 .226 .034 .038 .233 .993 1.000 .323 .174 .278 .321 .015 .012 .130 .719 .835 .319 .135 .197 .260 .010 .011 .082 .403 .495 .247 .104 .097 .131 .021 .024 .086 .271 .328 .197 .100 .068 .074 .041 .044 .108 .245 .287 .190 .105 .072 .074 r_peak,r_snr = .2688559 8.39183 Correlation Surface of oversamples image at 246 3846 .157 .252 .371 .471 .477 .359 .208 .114 .074 .150 .250 .397 .549 .594 .460 .261 .136 .093 .139 .247 .435 .658 .755 .604 .339 .165 .109 .122 .236 .463 .759 .914 .755 .426 .197 .122 .100 .211 .457 .799 1.000 .851 .494 .227 .132 .078 .177 .413 .753 .965 .842 .509 .243 .136 .063 .146 .349 .643 .828 .732 .461 .237 .134 .059 .125 .286 .516 .658 .583 .381 .213 .127 .066 .117 .240 .410 .516 .458 .307 .185 .119 246 .563 3846 .125 8.39183 .008237 .029105 -.003629 Correlation Surface at 346 3846 .046 .200 .117 .031 .401 .479 .049 .004 .001 .049 .190 .163 .005 .300 .610 .171 .017 .025 .036 .036 .055 .038 .327 .384 .177 .069 .041 .063 .000 .000 .146 .641 .384 .094 .089 .008 .104 .001 .011 .176 1.000 .816 .084 .036 .001 .057 .000 .001 .041 .604 .916 .045 .005 .000 .009 .001 .000 .000 .143 .420 .000 .129 .002 .008 .003 .006 .016 .101 .227 .014 .174 .004 .017 .026 .006 .092 .230 .289 .000 .069 .000 r_peak,r_snr = 9.94997E-02 13.70697 Correlation Surface of oversamples image at 346 3846 .077 .205 .384 .479 .408 .285 .206 .173 .140 .164 .319 .531 .639 .508 .283 .143 .098 .090 .232 .395 .644 .824 .713 .388 .141 .054 .039 .226 .367 .626 .909 .931 .575 .189 .033 .007 .142 .238 .457 .797 1.000 .733 .250 .023 .001 .041 .084 .223 .523 .830 .718 .262 .013 .017 .000 .004 .056 .246 .525 .532 .201 .004 .046 .017 .012 .002 .080 .263 .309 .112 .000 .071 .039 .035 .003 .022 .119 .152 .046 .005 .084 346 -.563 3846 3.344 13.70697 .033753 .076526 -.021654 Correlation Surface at 446 3846 .136 .233 .206 .201 .277 .455 .557 .271 .226 .352 .264 .288 .306 .337 .479 .318 .300 .402 .423 .536 .449 .312 .353 .285 .303 .331 .567 .862 .542 .305 .230 .194 .228 .207 .462 1.000 .528 .320 .193 .143 .163 .114 .224 .841 .615 .466 .246 .116 .205 .108 .095 .536 .656 .603 .313 .134 .263 .143 .073 .288 .471 .542 .337 .196 .199 .111 .064 .198 .357 .479 .363 .235 r_peak,r_snr = .1588782 3.55665 Correlation Surface of oversamples image at 446 3846 2.083 2.491 3.056 3.707 4.000 3.499 2.064 2.337 2.767 3.366 3.787 3.494 2.234 2.374 2.593 2.997 3.397 3.269 2.556 2.583 2.573 2.697 2.918 2.845 2.835 2.764 2.574 2.436 2.425 2.313 446 -9.063 3846 6.188 3.55665 .019188 .187449 -.031509 Correlation Surface at 546 3846 .014 .040 .166 .498 .728 .426 .078 .001 .010 .001 .046 .152 .448 .658 .494 .203 .049 .000 .003 .026 .133 .383 .608 .523 .287 .158 .016 .009 .005 .140 .471 .779 .604 .269 .171 .028 .003 .002 .140 .572 1.000 .703 .254 .115 .012 .001 .000 .078 .453 .964 .633 .223 .080 .002 .001 .003 .017 .281 .798 .486 .144 .053 .001 .002 .008 .001 .205 .794 .525 .134 .057 .014 .001 .003 .000 .173 .899 .753 .233 .087 .054 r_peak,r_snr = .1922098 8.31992 Correlation Surface of oversamples image at 546 3846 .256 .334 .450 .565 .606 .543 .441 .357 .290 .255 .369 .521 .662 .701 .608 .467 .350 .266 .239 .396 .601 .790 .834 .705 .512 .352 .244 .201 .380 .636 .884 .949 .792 .556 .360 .231 .143 .315 .596 .899 1.000 .831 .574 .364 .225 .083 .224 .501 .834 .967 .799 .542 .345 .212 .039 .147 .400 .734 .880 .717 .472 .298 .182 .017 .100 .330 .654 .799 .640 .405 .249 .146 .007 .074 .290 .610 .754 .603 .374 .221 .120 546 -.094 3846 1.531 8.31992 .018297 .133151 -.003350 Correlation Surface at 646 3846 .001 .017 .007 .003 .024 .082 .065 .010 .000 .081 .066 .022 .113 .010 .022 .000 .024 .012 .151 .308 .188 .429 .272 .005 .021 .221 .062 .022 .176 .296 .638 .756 .125 .037 .428 .521 .005 .034 .300 .734 1.000 .347 .092 .448 .708 .059 .019 .372 .847 .836 .441 .204 .396 .496 .061 .008 .343 .806 .405 .251 .282 .341 .438 .007 .001 .113 .474 .182 .123 .219 .183 .407 r_peak,r_snr = 9.80125E-02 7.23972 Correlation Surface of oversamples image at 646 3846 .009 .068 .155 .248 .463 .805 .991 .719 .263 .001 .015 .123 .311 .580 .857 .947 .686 .263 .009 .003 .131 .436 .760 .907 .823 .565 .250 .024 .000 .144 .571 .931 .902 .632 .375 .199 .054 .003 .137 .636 1.000 .815 .422 .191 .123 .101 .017 .084 .538 .878 .642 .241 .067 .053 .170 .062 .012 .283 .571 .411 .113 .012 .013 .183 .110 .005 .092 .318 .285 .093 .016 .020 646 6.094 3846 12.906 7.23972 .044922 .252654 -.029122 Correlation Surface at 946 3846 .001 .000 .028 .132 .300 .221 .023 .003 .061 .006 .022 .099 .328 .311 .062 .003 .000 .037 .003 .049 .173 .573 .444 .032 .022 .010 .027 .008 .019 .152 .785 .797 .155 .002 .027 .023 .045 .001 .117 .736 1.000 .366 .020 .014 .008 .038 .001 .096 .537 .755 .360 .071 .003 .001 .002 .011 .065 .337 .428 .217 .070 .025 .008 .007 .054 .044 .207 .269 .113 .007 .001 .001 .001 .079 .038 .154 .229 .056 .004 .030 .005 r_peak,r_snr = .1191556 17.85328 Correlation Surface of oversamples image at 946 3846 .135 .218 .307 .326 .239 .118 .034 .004 .000 .142 .251 .392 .478 .397 .219 .073 .011 .001 .153 .300 .509 .694 .650 .402 .156 .032 .003 .174 .356 .620 .886 .898 .605 .261 .065 .009 .197 .390 .659 .941 1.000 .721 .339 .097 .018 .207 .375 .586 .812 .896 .694 .362 .126 .036 .194 .310 .436 .577 .665 .569 .343 .152 .064 .162 .228 .288 .367 .448 .434 .310 .175 .100 .122 .156 .186 .238 .311 .332 .265 .175 .120 946 -6.656 3846 -.031 17.85329 .037247 .153920 -.035050 Correlation Surface at 1246 3846 .711 .827 .858 .891 .921 .800 .750 .764 .792 .662 .822 .907 .931 .939 .805 .729 .749 .811 .630 .782 .906 .953 .952 .835 .760 .758 .821 .615 .730 .877 .975 .986 .875 .808 .792 .828 .607 .692 .844 .975 1.000 .887 .834 .814 .836 .614 .691 .830 .951 .968 .878 .856 .832 .833 .617 .715 .855 .955 .934 .879 .898 .871 .819 .600 .711 .886 .988 .924 .895 .947 .919 .816 .576 .662 .854 .988 .922 .895 .949 .933 .822 r_peak,r_snr = .5686176 1.4931 Correlation Surface of oversamples image at 1246 3846 .871 .906 .917 .926 .934 .911 .850 .782 .736 .859 .910 .934 .949 .952 .922 .858 .789 .744 .835 .898 .939 .966 .973 .941 .874 .803 .756 .805 .877 .933 .975 .991 .965 .897 .821 .769 .774 .851 .920 .973 1.000 .984 .920 .841 .784 .748 .825 .901 .960 .993 .987 .933 .858 .801 .730 .806 .882 .940 .973 .972 .931 .870 .820 .726 .797 .869 .920 .945 .945 .916 .875 .840 .734 .803 .869 .911 .923 .916 .897 .876 .861 1246 .750 3846 -.219 1.49310 .019748 .149792 -.009541 Correlation Surface at 1346 3846 .313 .372 .431 .605 .822 .715 .547 .378 .230 .314 .350 .431 .634 .857 .746 .577 .403 .249 .293 .333 .438 .667 .922 .834 .603 .391 .263 .275 .321 .452 .716 .994 .923 .619 .367 .265 .278 .317 .462 .756 1.000 .892 .597 .364 .257 .295 .331 .447 .727 .924 .780 .545 .390 .271 .312 .367 .441 .645 .819 .715 .524 .412 .291 .320 .395 .463 .592 .741 .703 .538 .412 .276 .330 .401 .469 .575 .727 .691 .540 .407 .251 r_peak,r_snr = .4202887 2.94921 Correlation Surface of oversamples image at 1346 3846 .299 .387 .533 .689 .774 .738 .615 .485 .388 .295 .399 .571 .756 .855 .817 .678 .530 .415 .292 .410 .602 .813 .935 .905 .754 .583 .441 .292 .420 .622 .845 .986 .967 .811 .619 .454 .298 .434 .639 .859 1.000 .985 .827 .625 .450 .308 .451 .654 .860 .981 .955 .795 .595 .428 .314 .459 .657 .842 .934 .888 .725 .538 .393 .311 .450 .639 .805 .868 .801 .639 .470 .354 .297 .420 .594 .746 .793 .715 .559 .412 .322 1346 .188 3846 6.125 2.94921 .013305 .169305 .022671 Correlation Surface at 1446 3846 .088 .216 .340 .401 .595 .564 .326 .171 .059 .099 .232 .370 .441 .596 .522 .287 .159 .076 .113 .234 .340 .508 .742 .586 .299 .175 .092 .130 .228 .315 .589 .973 .748 .386 .237 .110 .135 .223 .328 .627 1.000 .794 .454 .313 .138 .125 .215 .320 .597 .849 .668 .416 .323 .163 .119 .184 .259 .509 .724 .561 .352 .283 .150 .138 .157 .210 .425 .640 .556 .372 .257 .113 .180 .165 .207 .384 .550 .571 .447 .259 .075 r_peak,r_snr = .3028829 6.3257 Correlation Surface of oversamples image at 1446 3846 .406 .480 .584 .667 .637 .507 .362 .253 .183 .414 .515 .658 .769 .733 .569 .390 .259 .181 .414 .546 .733 .884 .854 .663 .446 .287 .196 .411 .567 .787 .971 .958 .758 .514 .329 .224 .404 .572 .801 .996 1.000 .811 .565 .368 .253 .393 .558 .772 .951 .961 .798 .575 .385 .272 .376 .531 .717 .859 .864 .728 .540 .374 .272 .356 .503 .661 .764 .754 .636 .479 .340 .255 .334 .479 .623 .698 .672 .562 .423 .302 .230 1446 .250 3846 -.625 6.32570 .010185 .089503 .004600 Correlation Surface at 1546 3846 .056 .211 .254 .403 .765 .483 .133 .017 .001 .022 .164 .283 .429 .735 .409 .102 .031 .006 .012 .104 .278 .447 .760 .452 .143 .053 .005 .027 .090 .258 .500 .887 .532 .169 .033 .001 .061 .088 .209 .528 1.000 .601 .146 .008 .016 .124 .100 .149 .493 .893 .572 .149 .009 .011 .181 .163 .152 .445 .669 .461 .181 .042 .003 .150 .254 .246 .470 .633 .431 .199 .073 .034 .095 .248 .327 .580 .792 .487 .175 .046 .024 r_peak,r_snr = .1888607 6.68497 Correlation Surface of oversamples image at 1546 3846 .156 .214 .354 .585 .769 .730 .504 .280 .155 .116 .192 .353 .610 .823 .792 .545 .307 .172 .086 .174 .365 .658 .899 .868 .592 .330 .184 .062 .158 .378 .706 .966 .931 .630 .341 .183 .044 .140 .380 .735 1.000 .964 .656 .347 .175 .032 .117 .360 .722 .981 .950 .665 .354 .172 .023 .090 .312 .650 .890 .873 .635 .358 .175 .023 .072 .260 .554 .765 .763 .583 .359 .189 .036 .075 .234 .484 .665 .672 .542 .371 .218 1546 .188 3846 5.125 6.68497 .013367 .194370 -.003784 Correlation Surface at 1646 3846 .037 .055 .219 .595 .667 .361 .122 .045 .005 .021 .072 .262 .627 .665 .373 .122 .046 .007 .008 .081 .308 .663 .726 .428 .135 .045 .008 .014 .102 .338 .699 .934 .590 .145 .032 .005 .034 .115 .309 .633 1.000 .697 .141 .017 .002 .024 .078 .244 .506 .723 .541 .120 .011 .002 .000 .018 .156 .381 .438 .348 .113 .013 .001 .011 .000 .090 .273 .352 .293 .131 .020 .001 .013 .000 .078 .255 .429 .346 .162 .031 .002 r_peak,r_snr = .3023791 8.90007 Correlation Surface of oversamples image at 1646 3846 .346 .497 .630 .713 .728 .648 .481 .302 .177 .337 .477 .625 .750 .808 .742 .551 .334 .183 .327 .457 .622 .801 .916 .866 .639 .370 .187 .316 .435 .607 .830 .998 .968 .714 .398 .185 .304 .414 .577 .807 1.000 .990 .738 .407 .179 .295 .400 .538 .731 .904 .910 .699 .396 .172 .282 .384 .491 .622 .742 .754 .606 .367 .168 .258 .361 .439 .512 .575 .585 .497 .330 .167 .225 .327 .390 .426 .452 .456 .408 .298 .168 1646 .219 3846 -.188 8.90007 .007974 .025859 -.002213 Correlation Surface at 1746 3846 .041 .015 .027 .040 .188 .268 .133 .074 .012 .026 .009 .016 .029 .174 .244 .105 .027 .000 .004 .001 .007 .053 .195 .204 .115 .012 .009 .000 .001 .013 .189 .489 .369 .225 .022 .017 .000 .003 .027 .399 1.000 .665 .291 .017 .022 .009 .000 .009 .307 .991 .681 .189 .000 .042 .029 .014 .005 .097 .558 .440 .088 .001 .054 .040 .037 .027 .031 .302 .287 .066 .000 .023 .033 .019 .015 .012 .184 .228 .068 .007 .001 r_peak,r_snr = .1792339 18.04128 Correlation Surface of oversamples image at 1746 3846 .008 .012 .040 .115 .187 .214 .235 .254 .225 .013 .035 .112 .266 .377 .370 .335 .320 .277 .018 .064 .204 .464 .638 .590 .467 .380 .299 .024 .083 .272 .628 .883 .817 .597 .413 .275 .026 .081 .275 .674 1.000 .955 .672 .400 .213 .018 .056 .214 .582 .926 .927 .644 .336 .137 .007 .027 .135 .427 .732 .764 .531 .250 .078 .001 .008 .077 .292 .530 .567 .397 .178 .046 .001 .001 .043 .200 .379 .409 .294 .137 .038 1746 .188 3846 .594 18.04129 .012556 .035100 -.002236 Correlation Surface at 1846 3846 .015 .000 .022 .220 .202 .061 .052 .046 .001 .003 .002 .040 .356 .247 .037 .013 .006 .005 .001 .002 .078 .724 .490 .053 .002 .005 .020 .011 .002 .103 .990 .923 .146 .008 .005 .008 .040 .028 .116 .796 1.000 .268 .044 .004 .001 .060 .051 .118 .429 .541 .242 .104 .036 .010 .069 .061 .107 .209 .145 .095 .105 .052 .009 .091 .100 .109 .130 .024 .009 .047 .035 .006 .128 .152 .131 .134 .021 .000 .014 .021 .011 r_peak,r_snr = .2446852 20.67658 Correlation Surface of oversamples image at 1846 3846 .002 .040 .164 .311 .319 .198 .090 .041 .023 .001 .054 .239 .460 .459 .263 .103 .037 .017 .001 .065 .311 .635 .662 .389 .148 .048 .019 .002 .071 .354 .770 .873 .559 .231 .078 .028 .003 .071 .353 .810 1.000 .714 .334 .125 .048 .005 .066 .314 .743 .984 .780 .418 .182 .079 .008 .061 .256 .605 .839 .724 .442 .226 .113 .011 .054 .196 .448 .629 .574 .391 .234 .139 .014 .046 .141 .304 .420 .390 .286 .200 .142 1846 .469 3846 .188 20.67659 .007159 .020474 -.005243 Correlation Surface at 1946 3846 .006 .093 .166 .207 .448 .124 .021 .097 .066 .028 .074 .139 .251 .464 .120 .029 .117 .103 .058 .074 .116 .299 .547 .131 .047 .122 .147 .066 .055 .096 .380 .835 .250 .088 .149 .190 .099 .057 .093 .412 1.000 .382 .139 .210 .260 .215 .118 .122 .376 .770 .346 .187 .248 .282 .318 .194 .174 .328 .537 .283 .201 .189 .172 .220 .139 .179 .296 .496 .305 .162 .099 .062 .077 .028 .101 .275 .505 .340 .101 .053 .028 r_peak,r_snr = .1688348 9.21086 Correlation Surface of oversamples image at 1946 3846 .077 .142 .287 .472 .462 .252 .106 .068 .062 .062 .131 .310 .579 .638 .397 .186 .116 .096 .061 .137 .347 .701 .848 .584 .291 .173 .135 .071 .157 .384 .783 .996 .732 .381 .224 .174 .092 .187 .408 .785 1.000 .762 .415 .252 .208 .118 .217 .413 .712 .872 .674 .386 .256 .234 .141 .231 .391 .604 .697 .538 .330 .248 .251 .149 .223 .353 .512 .566 .439 .291 .245 .259 .139 .198 .311 .453 .507 .411 .292 .253 .255 1946 -.031 3846 -.250 9.21086 .008760 .080022 -.003078 Correlation Surface at 2046 3846 .145 .225 .454 .769 .894 .634 .346 .221 .182 .150 .216 .431 .736 .887 .644 .357 .224 .181 .154 .205 .400 .699 .884 .657 .370 .231 .184 .156 .201 .397 .725 .942 .694 .374 .234 .182 .156 .204 .416 .774 1.000 .724 .379 .238 .183 .154 .205 .416 .760 .965 .722 .396 .252 .193 .155 .206 .404 .716 .911 .720 .426 .267 .204 .166 .212 .399 .703 .899 .732 .448 .271 .209 .183 .217 .400 .705 .886 .717 .445 .268 .210 r_peak,r_snr = .7577285 4.07145 Correlation Surface of oversamples image at 2046 3846 .362 .514 .680 .830 .897 .839 .684 .504 .364 .361 .520 .696 .856 .929 .867 .699 .508 .362 .367 .536 .723 .891 .967 .899 .718 .515 .361 .376 .553 .749 .920 .994 .922 .735 .524 .364 .382 .564 .763 .930 1.000 .929 .744 .533 .370 .383 .565 .761 .921 .985 .919 .746 .542 .379 .381 .559 .749 .902 .964 .906 .748 .553 .391 .377 .550 .735 .886 .949 .899 .754 .567 .404 .372 .542 .724 .875 .944 .901 .764 .582 .416 2046 .000 3846 .375 4.07145 .000753 .008899 .000034 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .214 .167 .233 .390 .504 .313 .133 .095 .074 .216 .215 .294 .480 .546 .308 .139 .118 .113 .203 .295 .395 .607 .668 .336 .121 .098 .117 .179 .319 .474 .720 .909 .440 .107 .063 .088 .171 .259 .432 .670 1.000 .540 .112 .064 .082 .192 .217 .342 .528 .797 .507 .110 .074 .094 .236 .219 .276 .419 .554 .370 .092 .049 .065 .304 .233 .230 .339 .423 .273 .078 .021 .019 .333 .224 .179 .268 .378 .252 .094 .019 .007 r_peak,r_snr = .2891101 7.24572 Correlation Surface of oversamples image at 146 4246 .388 .427 .496 .558 .561 .459 .295 .172 .126 .452 .494 .573 .652 .665 .552 .347 .178 .102 .510 .564 .658 .765 .805 .684 .427 .200 .092 .536 .606 .714 .851 .931 .817 .515 .232 .096 .522 .607 .723 .880 1.000 .910 .589 .268 .109 .484 .581 .699 .857 .996 .933 .621 .294 .124 .436 .538 .657 .800 .922 .869 .591 .292 .128 .391 .492 .611 .729 .808 .743 .509 .262 .122 .358 .447 .559 .648 .678 .596 .406 .221 .111 146 .125 4246 .250 7.24572 .006973 .041373 -.005002 Correlation Surface at 246 4246 .193 .204 .099 .252 .696 .589 .256 .208 .087 .231 .276 .161 .319 .636 .507 .225 .203 .156 .305 .313 .214 .367 .563 .482 .306 .263 .274 .292 .306 .218 .403 .742 .608 .427 .284 .279 .154 .291 .217 .428 1.000 .789 .550 .366 .250 .053 .261 .246 .342 .831 .787 .662 .592 .359 .010 .127 .243 .235 .383 .545 .614 .669 .531 .000 .022 .180 .222 .184 .306 .421 .378 .402 .000 .003 .104 .253 .192 .236 .285 .205 .141 r_peak,r_snr = .1475201 6.85002 Correlation Surface of oversamples image at 246 4246 .023 .058 .174 .350 .479 .466 .379 .303 .224 .021 .051 .179 .412 .598 .571 .421 .304 .224 .034 .066 .216 .517 .760 .707 .481 .313 .228 .075 .109 .282 .635 .918 .836 .547 .334 .246 .151 .180 .349 .704 1.000 .916 .603 .365 .276 .254 .266 .397 .693 .965 .914 .630 .398 .310 .346 .342 .415 .617 .830 .821 .613 .415 .329 .388 .389 .411 .520 .659 .675 .551 .403 .319 .358 .399 .397 .435 .504 .520 .455 .353 .273 246 .156 4246 .625 6.85002 .026887 .094472 -.011562 Correlation Surface at 346 4246 .000 .000 .036 .327 .347 .028 .010 .011 .028 .022 .003 .030 .341 .480 .111 .002 .001 .001 .019 .002 .025 .351 .684 .278 .029 .002 .002 .002 .003 .018 .340 .881 .459 .051 .000 .001 .011 .002 .006 .298 1.000 .569 .074 .000 .000 .014 .024 .001 .258 .948 .531 .083 .005 .004 .082 .080 .000 .210 .720 .373 .065 .016 .016 .032 .020 .002 .118 .392 .245 .055 .016 .012 .002 .003 .012 .058 .199 .199 .061 .008 .000 r_peak,r_snr = .168234 16.53107 Correlation Surface of oversamples image at 346 4246 .003 .058 .266 .564 .698 .582 .360 .154 .032 .001 .045 .253 .595 .789 .698 .461 .219 .057 .000 .037 .248 .639 .897 .821 .564 .290 .094 .000 .036 .247 .672 .987 .924 .647 .347 .126 .001 .040 .243 .663 1.000 .953 .670 .362 .134 .002 .050 .234 .605 .923 .887 .615 .326 .116 .008 .060 .207 .496 .762 .739 .501 .257 .087 .014 .057 .153 .343 .538 .535 .358 .176 .057 .019 .044 .096 .208 .339 .353 .239 .114 .039 346 .188 4246 -.156 16.53107 .010598 .427414 -.021354 Correlation Surface at 446 4246 .190 .183 .134 .238 .678 .616 .445 .264 .207 .067 .094 .202 .340 .543 .350 .332 .295 .289 .041 .110 .419 .498 .532 .358 .411 .384 .378 .091 .194 .550 .698 .776 .538 .510 .423 .360 .198 .244 .381 .665 1.000 .606 .416 .338 .304 .315 .282 .286 .475 .833 .518 .260 .215 .256 .349 .323 .339 .334 .491 .434 .194 .150 .231 .297 .357 .394 .287 .344 .410 .237 .172 .279 .270 .370 .391 .333 .428 .419 .291 .244 .392 r_peak,r_snr = .1643639 3.93643 Correlation Surface of oversamples image at 446 4246 .474 .547 .510 .479 .468 .414 .328 .285 .293 .625 .725 .660 .606 .606 .567 .466 .391 .379 .653 .780 .755 .741 .779 .760 .639 .517 .462 .546 .676 .740 .830 .933 .923 .775 .607 .503 .394 .493 .623 .824 1.000 .987 .813 .617 .487 .282 .340 .479 .733 .954 .941 .752 .553 .423 .228 .253 .364 .605 .828 .825 .646 .461 .338 .224 .224 .297 .491 .685 .700 .558 .391 .273 .241 .224 .258 .398 .553 .589 .495 .353 .233 446 .219 4246 .063 3.93643 .026388 .088719 -.010327 Correlation Surface at 546 4246 .049 .041 .157 .347 .526 .650 .412 .110 .027 .048 .021 .111 .288 .581 .723 .386 .112 .047 .050 .032 .140 .308 .725 .819 .294 .089 .051 .046 .074 .285 .493 .913 .903 .273 .098 .053 .038 .103 .411 .657 1.000 .908 .311 .128 .075 .039 .117 .447 .648 .927 .900 .329 .151 .122 .046 .114 .463 .625 .716 .820 .350 .179 .187 .045 .075 .391 .632 .550 .559 .293 .177 .192 .057 .042 .248 .585 .568 .392 .180 .106 .089 r_peak,r_snr = .1994658 6.85358 Correlation Surface of oversamples image at 546 4246 .367 .461 .528 .594 .690 .759 .672 .447 .224 .330 .424 .506 .613 .741 .787 .632 .361 .153 .349 .436 .533 .684 .838 .837 .596 .280 .088 .436 .506 .605 .784 .940 .876 .561 .222 .049 .584 .629 .706 .877 1.000 .878 .531 .196 .037 .754 .773 .812 .934 .997 .836 .505 .200 .046 .872 .880 .886 .947 .943 .765 .478 .220 .071 .894 .914 .912 .939 .891 .706 .457 .240 .104 .846 .883 .893 .925 .881 .697 .457 .255 .132 546 -.531 4246 -6.188 6.85358 .050060 .345795 .049734 Correlation Surface at 646 4246 .033 .001 .009 .089 .239 .149 .026 .011 .015 .057 .018 .004 .115 .281 .128 .000 .061 .003 .029 .091 .005 .158 .504 .252 .000 .049 .005 .000 .105 .043 .153 .870 .596 .046 .005 .017 .010 .027 .028 .127 1.000 .838 .148 .000 .014 .004 .000 .000 .129 .791 .633 .122 .000 .002 .003 .001 .009 .143 .570 .376 .037 .011 .000 .010 .002 .002 .120 .456 .305 .012 .026 .002 .014 .005 .005 .131 .387 .337 .027 .014 .012 r_peak,r_snr = .1621465 14.98418 Correlation Surface of oversamples image at 646 4246 .004 .089 .272 .420 .407 .249 .083 .002 .026 .000 .096 .365 .611 .609 .391 .161 .022 .007 .002 .087 .431 .802 .835 .569 .281 .076 .001 .007 .066 .432 .897 .990 .718 .409 .156 .019 .008 .050 .383 .858 1.000 .776 .496 .233 .049 .001 .052 .341 .751 .899 .735 .516 .278 .074 .003 .079 .336 .657 .764 .635 .470 .270 .075 .021 .127 .372 .613 .660 .530 .386 .214 .049 .043 .183 .433 .625 .617 .461 .301 .140 .018 646 .375 4246 -1.281 14.98419 .009661 .117675 -.002726 Correlation Surface at 746 4246 .034 .489 .164 .001 .000 .012 .001 .003 .008 .295 .160 .064 .023 .006 .001 .002 .001 .211 .320 .332 .167 .012 .039 .098 .000 .116 .494 .737 .366 .079 .034 .330 .029 .113 .507 1.000 .396 .136 .006 .192 .229 .243 .501 .980 .379 .090 .063 .005 .317 .259 .405 .783 .476 .082 .028 .019 .195 .121 .142 .430 .495 .127 .003 .031 .136 .104 .013 .081 .153 .058 .000 .037 r_peak,r_snr = .1056001 7.17719 Correlation Surface of oversamples image at 746 4246 .363 .647 .924 .802 .414 .177 .081 .033 .001 .365 .580 .841 .801 .474 .230 .118 .065 .022 .377 .532 .776 .837 .616 .361 .188 .093 .041 .357 .477 .721 .901 .827 .583 .305 .120 .042 .270 .373 .622 .909 1.000 .812 .435 .141 .034 .131 .208 .430 .750 .951 .862 .473 .132 .020 .045 .082 .240 .508 .723 .730 .433 .123 .017 746 -11.000 4246 9.688 7.17719 .026470 .406355 -.001176 Correlation Surface at 846 4246 .035 .148 .180 .266 .476 .138 .032 .007 .146 .092 .267 .171 .437 .766 .227 .050 .003 .069 .155 .278 .089 .463 1.000 .351 .100 .003 .004 .052 .082 .008 .246 .731 .296 .114 .045 .004 .009 .009 .000 .108 .317 .138 .119 .127 .028 .037 .030 .003 .053 .110 .038 .093 .117 .033 .100 .056 .001 .006 .021 .000 .009 .029 .020 r_peak,r_snr = .1142716 9.39564 Correlation Surface of oversamples image at 846 4246 .089 .132 .277 .463 .505 .355 .163 .060 .015 .060 .114 .310 .571 .637 .458 .220 .085 .024 .039 .097 .346 .709 .823 .606 .302 .123 .044 .022 .076 .346 .794 .977 .741 .379 .161 .071 .012 .057 .305 .761 1.000 .795 .422 .188 .102 .008 .047 .247 .627 .858 .716 .399 .193 .128 .010 .050 .205 .473 .636 .542 .324 .184 .155 .022 .063 .183 .351 .430 .356 .229 .165 .180 .038 .072 .154 .244 .260 .198 .135 .125 .174 846 7.969 4246 -12.688 9.39564 .020347 .119156 -.012626 Correlation Surface at 946 4246 .006 .051 .155 .262 .591 .555 .068 .002 .021 .018 .016 .062 .281 .869 .744 .153 .003 .027 .026 .019 .080 .320 1.000 .821 .222 .000 .030 .031 .008 .120 .298 .879 .879 .308 .027 .002 .035 .005 .059 .222 .697 .901 .392 .117 .012 .034 .020 .013 .196 .549 .779 .441 .162 .018 .026 .003 .007 .186 .442 .554 .448 .158 .013 r_peak,r_snr = .1433721 9.13547 Correlation Surface of oversamples image at 946 4246 .136 .275 .493 .701 .810 .748 .479 .164 .012 .149 .281 .515 .753 .878 .820 .569 .249 .046 .173 .283 .513 .787 .947 .897 .657 .344 .110 .190 .275 .486 .789 .996 .964 .728 .429 .190 .180 .253 .441 .750 1.000 .996 .771 .487 .258 .149 .231 .398 .685 .952 .984 .788 .524 .305 .111 .212 .364 .605 .846 .911 .769 .537 .323 .075 .193 .339 .525 .712 .791 .718 .535 .325 .062 .196 .358 .513 .645 .718 .702 .572 .359 946 -.250 4246 -11.344 9.13547 .021477 .281713 -.009670 Correlation Surface at 1246 4246 .053 .034 .133 .320 .438 .526 .371 .218 .170 .088 .053 .170 .415 .480 .485 .320 .202 .177 .127 .086 .212 .516 .593 .473 .281 .164 .144 .143 .126 .257 .660 .829 .503 .239 .128 .129 .136 .140 .272 .705 1.000 .542 .197 .104 .142 .112 .112 .241 .591 .887 .541 .170 .081 .136 .069 .068 .174 .416 .628 .435 .159 .070 .121 .043 .042 .114 .267 .420 .308 .163 .080 .129 .034 .033 .080 .194 .341 .265 .187 .118 .146 r_peak,r_snr = .2609201 6.42762 Correlation Surface of oversamples image at 1246 4246 .260 .410 .557 .631 .628 .606 .567 .470 .337 .293 .455 .625 .723 .716 .658 .576 .458 .318 .303 .480 .686 .828 .830 .733 .595 .446 .299 .291 .478 .719 .912 .938 .808 .613 .430 .279 .263 .449 .706 .939 1.000 .861 .627 .416 .261 .229 .403 .650 .895 .988 .870 .635 .408 .248 .198 .351 .567 .792 .898 .819 .618 .399 .237 .174 .305 .480 .664 .762 .719 .570 .385 .230 .159 .266 .402 .543 .621 .600 .501 .364 .229 1246 -.094 4246 .125 6.42762 .008855 .054527 -.002902 Correlation Surface at 1346 4246 .116 .138 .135 .054 .112 .446 .426 .145 .008 .080 .126 .119 .067 .137 .432 .454 .242 .078 .026 .106 .089 .083 .224 .460 .404 .253 .146 .022 .102 .133 .231 .589 .652 .431 .297 .153 .045 .094 .143 .365 1.000 .869 .448 .299 .105 .063 .093 .112 .250 .874 .954 .479 .258 .069 .061 .106 .114 .097 .408 .782 .563 .291 .105 .057 .126 .123 .058 .169 .380 .359 .340 .186 r_peak,r_snr = .1469853 9.97262 Correlation Surface of oversamples image at 1346 4246 .023 .022 .063 .182 .336 .408 .390 .358 .342 .066 .081 .169 .349 .522 .541 .455 .389 .365 .121 .167 .320 .573 .754 .694 .516 .403 .370 .150 .224 .435 .750 .942 .814 .553 .396 .350 .136 .217 .446 .789 1.000 .858 .562 .378 .322 .100 .162 .360 .684 .918 .823 .550 .368 .308 .071 .102 .241 .505 .747 .731 .526 .373 .322 .058 .063 .143 .327 .542 .592 .472 .372 .350 .053 .043 .082 .196 .353 .421 .369 .329 .356 1346 -.469 4246 11.438 9.97262 .026027 .057262 -.007099 Correlation Surface at 1446 4246 .001 .032 .159 .408 .654 .577 .308 .139 .056 .002 .042 .181 .427 .613 .575 .307 .128 .043 .012 .063 .209 .502 .704 .639 .324 .128 .054 .028 .090 .228 .577 .899 .734 .337 .128 .071 .034 .108 .236 .583 1.000 .734 .306 .112 .062 .028 .114 .239 .524 .935 .668 .264 .092 .039 .024 .114 .243 .474 .823 .625 .255 .085 .025 .022 .109 .247 .470 .764 .610 .265 .082 .017 .018 .101 .258 .495 .747 .599 .266 .075 .012 r_peak,r_snr = .4175123 6.5897 Correlation Surface of oversamples image at 1446 4246 .199 .326 .477 .614 .698 .712 .634 .477 .305 .206 .345 .521 .682 .775 .782 .691 .516 .326 .201 .349 .557 .760 .871 .867 .752 .556 .348 .188 .339 .574 .821 .957 .938 .793 .578 .361 .173 .319 .566 .845 1.000 .967 .795 .567 .355 .162 .299 .540 .826 .991 .949 .760 .529 .329 .160 .285 .509 .782 .944 .902 .710 .483 .296 .166 .282 .484 .731 .885 .848 .664 .446 .270 .178 .286 .468 .691 .835 .806 .634 .424 .254 1446 .156 4246 -.250 6.58970 .003446 .040798 .000104 Correlation Surface at 1546 4246 .010 .007 .106 .227 .298 .175 .015 .000 .000 .016 .005 .094 .280 .418 .166 .009 .003 .001 .013 .023 .146 .333 .624 .304 .035 .003 .010 .011 .032 .155 .326 .874 .577 .058 .001 .031 .029 .000 .042 .276 1.000 .666 .031 .004 .066 .059 .029 .000 .230 .743 .357 .006 .016 .097 .079 .040 .000 .209 .425 .124 .003 .019 .082 .114 .037 .000 .191 .359 .137 .007 .016 .062 .129 .066 .001 .143 .377 .223 .014 .015 .063 r_peak,r_snr = .1601947 16.60735 Correlation Surface of oversamples image at 1546 4246 .189 .256 .437 .588 .553 .368 .160 .026 .002 .195 .258 .470 .678 .671 .466 .216 .047 .000 .173 .252 .516 .801 .823 .572 .261 .062 .003 .124 .235 .562 .926 .959 .641 .272 .063 .006 .073 .214 .591 .990 1.000 .629 .241 .050 .006 .037 .194 .579 .930 .881 .515 .180 .034 .004 .022 .183 .527 .762 .649 .351 .121 .024 .003 .023 .188 .465 .580 .430 .221 .088 .025 .003 .032 .195 .409 .447 .300 .157 .083 .036 .005 1546 .250 4246 -.031 16.60736 .011721 .094253 .003217 Correlation Surface at 1646 4246 .116 .177 .299 .496 .727 .717 .443 .208 .081 .111 .184 .320 .532 .717 .601 .372 .208 .114 .084 .186 .325 .569 .782 .554 .334 .206 .128 .052 .175 .319 .596 .936 .648 .346 .198 .100 .044 .158 .297 .595 1.000 .764 .384 .192 .068 .077 .169 .265 .531 .851 .717 .389 .188 .049 .157 .220 .264 .448 .658 .618 .366 .189 .036 .210 .289 .325 .454 .612 .589 .352 .181 .025 .183 .317 .401 .569 .706 .580 .322 .161 .024 r_peak,r_snr = .2804298 5.63541 Correlation Surface of oversamples image at 1646 4246 .385 .550 .716 .778 .710 .598 .482 .355 .239 .375 .547 .743 .831 .748 .600 .462 .332 .219 .359 .531 .762 .902 .830 .647 .475 .328 .205 .340 .510 .771 .968 .931 .723 .509 .337 .201 .319 .487 .761 .995 1.000 .788 .541 .349 .203 .290 .459 .728 .966 .995 .800 .549 .352 .207 .251 .418 .668 .882 .912 .745 .519 .342 .209 .207 .365 .590 .769 .790 .651 .464 .317 .204 .175 .319 .520 .670 .684 .568 .413 .292 .196 1646 .281 4246 -.281 5.63541 .010375 .079158 -.006029 Correlation Surface at 1746 4246 .058 .087 .085 .164 .128 .089 .043 .031 .061 .081 .061 .046 .158 .267 .143 .048 .067 .100 .083 .046 .027 .098 .352 .246 .066 .069 .117 .085 .049 .035 .102 .584 .476 .094 .034 .079 .073 .059 .057 .166 1.000 .745 .102 .012 .036 .044 .052 .072 .148 .903 .631 .059 .008 .021 .029 .052 .073 .076 .408 .295 .015 .005 .028 .044 .093 .077 .049 .167 .110 .000 .000 .038 .106 .164 .095 .056 .121 .041 .004 .000 .054 r_peak,r_snr = .2150305 18.9006 Correlation Surface of oversamples image at 1746 4246 .014 .040 .138 .305 .398 .320 .184 .107 .085 .014 .055 .214 .480 .604 .446 .213 .089 .052 .017 .082 .327 .710 .837 .553 .218 .064 .025 .020 .104 .421 .892 .998 .596 .192 .036 .008 .022 .107 .434 .918 1.000 .553 .145 .016 .001 .023 .088 .355 .773 .841 .438 .091 .004 .000 .022 .060 .240 .545 .606 .302 .048 .000 .002 .019 .036 .139 .334 .385 .187 .022 .002 .005 .012 .018 .071 .183 .221 .104 .008 .005 .009 1746 .313 4246 .281 18.90060 .005511 .026272 -.000459 Correlation Surface at 1846 4246 .102 .196 .112 .124 .339 .386 .134 .006 .006 .082 .141 .115 .180 .436 .464 .204 .016 .002 .074 .073 .067 .264 .616 .466 .142 .016 .000 .076 .042 .024 .279 .908 .680 .132 .036 .012 .055 .021 .010 .203 1.000 .994 .231 .096 .044 .039 .012 .013 .148 .728 .908 .284 .100 .040 .045 .021 .016 .130 .472 .590 .180 .019 .002 .083 .056 .020 .137 .434 .468 .098 .002 .011 .170 .093 .021 .147 .549 .546 .097 .005 .017 r_peak,r_snr = .2068975 13.40734 Correlation Surface of oversamples image at 1846 4246 .011 .079 .256 .431 .461 .363 .244 .137 .053 .009 .094 .320 .537 .561 .414 .247 .128 .055 .006 .104 .376 .661 .720 .536 .300 .145 .070 .006 .107 .402 .756 .890 .700 .391 .184 .096 .009 .112 .396 .782 1.000 .843 .489 .232 .125 .016 .120 .371 .734 .997 .897 .545 .261 .140 .021 .123 .331 .630 .879 .830 .524 .251 .127 .018 .111 .281 .507 .704 .684 .445 .208 .091 .009 .087 .234 .406 .548 .536 .356 .160 .056 1846 .594 4246 .281 13.40735 .010736 .063293 -.009943 Correlation Surface at 1946 4246 .210 .239 .342 .578 .677 .529 .301 .225 .117 .291 .286 .382 .625 .739 .584 .297 .212 .109 .394 .368 .415 .631 .801 .657 .286 .173 .117 .417 .424 .390 .571 .941 .812 .342 .168 .125 .347 .392 .348 .491 1.000 .937 .476 .241 .143 .261 .335 .372 .468 .828 .821 .564 .352 .175 .235 .313 .441 .538 .662 .613 .510 .403 .214 .244 .327 .471 .637 .684 .558 .458 .378 .237 .244 .358 .459 .642 .728 .593 .467 .369 .239 r_peak,r_snr = .3310089 3.9436 Correlation Surface of oversamples image at 1946 4246 .361 .468 .591 .690 .687 .555 .369 .222 .144 .384 .496 .639 .758 .764 .631 .430 .257 .154 .380 .506 .686 .836 .849 .707 .490 .294 .166 .349 .489 .714 .911 .937 .778 .541 .326 .182 .308 .451 .711 .954 1.000 .829 .575 .349 .200 .276 .409 .673 .937 .999 .834 .585 .367 .222 .269 .378 .610 .856 .922 .783 .571 .383 .253 .287 .365 .542 .740 .797 .691 .533 .391 .285 .327 .376 .495 .634 .674 .594 .483 .387 .309 1946 .344 4246 -.250 3.94360 .007750 .043667 -.003268 Correlation Surface at 2046 4246 .069 .058 .004 .169 .515 .241 .028 .000 .000 .074 .060 .007 .133 .417 .199 .025 .000 .000 .101 .078 .011 .135 .503 .237 .023 .000 .001 .134 .102 .015 .175 .793 .385 .020 .000 .003 .135 .113 .015 .225 1.000 .498 .024 .001 .003 .114 .117 .014 .242 .878 .440 .039 .000 .003 .102 .118 .013 .218 .670 .336 .059 .010 .011 .109 .122 .014 .169 .554 .291 .063 .026 .026 .128 .138 .020 .113 .470 .263 .054 .024 .024 r_peak,r_snr = .3514591 16.8975 Correlation Surface of oversamples image at 2046 4246 .008 .019 .180 .458 .628 .543 .313 .118 .025 .013 .017 .194 .535 .778 .689 .391 .137 .024 .016 .016 .209 .608 .917 .833 .476 .168 .030 .019 .016 .222 .654 .998 .920 .539 .201 .042 .018 .018 .235 .668 1.000 .922 .555 .225 .057 .016 .021 .240 .647 .933 .849 .526 .234 .075 .014 .023 .234 .599 .828 .741 .473 .233 .094 .012 .022 .215 .538 .726 .645 .425 .231 .111 .012 .019 .188 .474 .644 .580 .397 .233 .126 2046 .156 4246 .250 16.89750 .001720 .019263 .000207 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .045 .080 .120 .136 .000 .150 .002 .084 .078 .086 .138 .042 .006 .007 .130 .004 .097 .078 .028 .063 .004 .113 .313 .221 .029 .040 .058 .005 .003 .004 .245 .994 .501 .166 .024 .061 .027 .052 .021 .191 1.000 .517 .185 .159 .097 .007 .020 .036 .203 .675 .242 .002 .044 .112 .000 .009 .030 .286 .499 .049 .229 .073 .092 .000 .051 .006 .292 .292 .001 .583 .431 .068 .000 .017 .004 .228 .092 .063 .469 .455 .043 r_peak,r_snr = 9.54509E-02 12.162 Correlation Surface of oversamples image at 146 4646 .127 .006 .047 .164 .231 .220 .143 .033 .008 .086 .000 .164 .437 .499 .386 .254 .120 .013 .053 .007 .270 .697 .761 .545 .365 .252 .119 .024 .018 .340 .857 .935 .646 .424 .348 .274 .005 .036 .385 .917 1.000 .667 .400 .325 .328 .000 .059 .414 .908 .967 .608 .298 .187 .207 .004 .082 .431 .866 .870 .486 .155 .037 .034 .011 .105 .432 .798 .741 .339 .042 .009 .027 .014 .112 .376 .634 .527 .174 .000 .149 .263 146 -1.688 4646 -2.406 12.16201 .022188 .367836 .022312 Correlation Surface at 246 4646 .015 .002 .039 .132 .308 .392 .185 .098 .074 .065 .000 .028 .139 .194 .199 .114 .070 .043 .109 .000 .040 .305 .425 .240 .116 .076 .042 .097 .006 .096 .479 .923 .460 .162 .098 .064 .064 .020 .146 .411 1.000 .555 .189 .111 .088 .047 .012 .131 .256 .661 .455 .192 .129 .079 .036 .002 .078 .195 .512 .383 .142 .135 .080 .008 .007 .072 .207 .539 .379 .079 .068 .089 .001 .026 .086 .231 .550 .384 .075 .017 .064 r_peak,r_snr = .1962647 11.27538 Correlation Surface of oversamples image at 246 4646 .024 .088 .188 .235 .204 .149 .104 .069 .044 .033 .124 .293 .417 .390 .276 .175 .107 .062 .051 .161 .402 .645 .665 .493 .312 .192 .109 .078 .185 .460 .810 .917 .722 .476 .306 .183 .108 .188 .435 .817 1.000 .830 .570 .390 .253 .135 .186 .368 .704 .913 .789 .557 .405 .290 .153 .188 .311 .569 .760 .672 .479 .359 .283 .148 .185 .274 .468 .625 .557 .389 .285 .237 .119 .173 .256 .417 .548 .491 .333 .226 .183 246 -.031 4646 -.563 11.27538 .009134 .050379 -.004849 Correlation Surface at 346 4646 .000 .065 .030 .032 .648 .852 .203 .000 .000 .000 .066 .057 .027 .562 .645 .110 .022 .020 .027 .004 .011 .073 .670 .614 .074 .043 .034 .067 .009 .003 .144 .908 .788 .077 .040 .026 .134 .021 .003 .128 1.000 .816 .070 .022 .012 .333 .066 .000 .055 .801 .618 .047 .005 .000 .565 .212 .008 .047 .608 .477 .046 .000 .026 .566 .275 .028 .046 .493 .452 .076 .005 .037 .441 .150 .001 .000 .263 .369 .096 .005 .013 r_peak,r_snr = .1403658 11.99845 Correlation Surface of oversamples image at 346 4646 .046 .382 1.448 3.065 4.000 3.635 2.444 1.150 .319 .029 .387 1.455 2.880 3.600 3.208 2.110 .943 .229 .031 .450 1.554 2.745 3.162 2.702 1.715 .714 .142 .050 .535 1.702 2.746 2.917 2.365 1.428 .541 .079 .086 .613 1.857 2.901 2.963 2.310 1.331 .465 .048 346 -.406 4646 -2.813 11.99846 .012489 .217107 -.003820 Correlation Surface at 446 4646 .467 .112 .084 .219 .263 .156 .170 .147 .183 .457 .111 .077 .325 .325 .101 .063 .094 .154 .435 .158 .117 .544 .584 .191 .074 .141 .260 .412 .203 .178 .733 .916 .430 .217 .332 .503 .403 .214 .199 .716 1.000 .593 .377 .503 .639 .433 .260 .203 .524 .751 .478 .345 .479 .612 .457 .373 .282 .407 .514 .342 .271 .416 .614 .413 .461 .452 .461 .524 .359 .264 .332 .558 .330 .451 .548 .521 .586 .406 .292 .264 .384 r_peak,r_snr = .1945737 2.46431 Correlation Surface of oversamples image at 446 4646 .074 .090 .230 .446 .506 .342 .140 .035 .013 .097 .114 .281 .557 .673 .513 .257 .090 .037 .129 .148 .337 .664 .844 .719 .435 .200 .098 .164 .186 .383 .737 .968 .901 .635 .357 .197 .195 .221 .408 .751 1.000 .985 .776 .504 .304 .223 .253 .416 .713 .936 .948 .803 .576 .372 .253 .287 .423 .653 .815 .822 .726 .557 .379 .289 .326 .435 .593 .681 .662 .589 .470 .336 .340 .378 .461 .556 .575 .524 .455 .369 .279 446 8.719 4646 -6.531 2.46431 .021264 .083492 -.012635 Correlation Surface at 546 4646 .002 .020 .230 .406 .481 .123 .000 .005 .012 .003 .071 .364 .560 .595 .214 .006 .012 .009 .008 .076 .313 .666 .742 .269 .029 .002 .006 .004 .029 .126 .591 .900 .275 .018 .002 .004 .002 .003 .034 .448 1.000 .302 .003 .004 .000 .003 .000 .020 .377 .986 .355 .006 .005 .000 .008 .004 .043 .383 .861 .348 .033 .005 .001 .028 .049 .098 .440 .822 .323 .068 .008 .006 .035 .097 .149 .478 .811 .344 .088 .013 .002 r_peak,r_snr = .2076031 13.50649 Correlation Surface of oversamples image at 546 4646 .166 .343 .599 .816 .846 .636 .336 .139 .058 .101 .255 .546 .846 .921 .684 .336 .123 .051 .054 .173 .465 .835 .970 .721 .330 .101 .035 .026 .113 .382 .798 .997 .751 .329 .087 .022 .013 .077 .317 .749 1.000 .773 .338 .085 .018 .009 .062 .278 .697 .968 .763 .345 .092 .020 .011 .064 .270 .663 .910 .714 .333 .101 .027 .018 .079 .290 .655 .852 .644 .300 .104 .038 .031 .102 .323 .669 .815 .584 .264 .098 .045 546 .000 4646 -.750 13.50650 .009101 .638721 -.049362 Correlation Surface at 646 4646 .131 .153 .226 .178 .295 .506 .433 .084 .036 .130 .110 .284 .263 .244 .368 .400 .137 .043 .128 .083 .272 .447 .335 .232 .238 .175 .076 .120 .096 .261 .688 .654 .297 .178 .210 .118 .115 .118 .245 .766 1.000 .509 .210 .216 .147 .118 .127 .221 .606 .897 .520 .193 .151 .156 .126 .151 .231 .459 .592 .336 .121 .067 .120 .136 .189 .270 .426 .487 .259 .102 .022 .059 .125 .184 .264 .392 .503 .281 .138 .018 .029 r_peak,r_snr = .21277 6.60052 Correlation Surface of oversamples image at 646 4646 .217 .395 .521 .491 .404 .337 .282 .250 .248 .216 .400 .590 .633 .558 .455 .341 .246 .203 .212 .389 .627 .758 .738 .629 .466 .303 .206 .201 .363 .627 .843 .905 .827 .635 .407 .246 .186 .323 .586 .858 1.000 .973 .782 .515 .300 .171 .283 .522 .802 .982 .993 .829 .565 .331 .162 .255 .461 .711 .877 .887 .749 .527 .316 .165 .244 .416 .619 .741 .721 .597 .432 .270 .188 .250 .388 .542 .612 .561 .447 .334 .223 646 -.250 4646 -5.750 6.60052 .015690 .038134 -.007650 Correlation Surface at 746 4646 .033 .038 .167 .242 .045 .015 .027 .061 .000 .000 .094 .202 .195 .052 .012 .019 .061 .003 .023 .057 .147 .068 .133 .148 .095 .136 .011 .037 .003 .069 .078 .478 .608 .282 .207 .033 .001 .005 .047 .246 1.000 .867 .342 .187 .091 .077 .037 .055 .324 .907 .667 .287 .129 .164 .119 .028 .020 .112 .439 .415 .251 .098 .152 r_peak,r_snr = .1117917 10.47391 Correlation Surface of oversamples image at 746 4646 .003 .007 .070 .204 .263 .187 .102 .070 .077 .003 .000 .070 .309 .469 .372 .190 .088 .070 .010 .000 .111 .466 .709 .579 .300 .121 .071 .004 .010 .209 .654 .914 .736 .387 .150 .072 .001 .061 .352 .803 1.000 .783 .416 .158 .063 .026 .166 .504 .860 .955 .745 .423 .174 .067 .070 .257 .553 .764 .781 .635 .403 .185 .070 .085 .245 .453 .573 .581 .517 .371 .184 .065 .059 .149 .283 .388 .443 .455 .372 .199 .065 746 7.438 4646 12.125 10.47392 .032115 .075114 .012534 Correlation Surface at 846 4646 .346 .374 .088 .171 .355 .336 .141 .075 .144 .272 .309 .086 .263 .626 .565 .310 .202 .183 .139 .244 .158 .412 .822 .658 .389 .363 .299 .119 .180 .263 .560 .996 .693 .324 .374 .386 .095 .089 .250 .558 1.000 .708 .200 .312 .389 .019 .040 .190 .428 .728 .593 .182 .346 .465 .002 .015 .153 .266 .417 .404 .275 .442 .480 .004 .003 .078 .114 .242 .253 .281 .452 .297 .008 .017 .033 .036 .148 .152 .123 .305 .102 r_peak,r_snr = .1411591 7.05892 Correlation Surface of oversamples image at 846 4646 .127 .142 .206 .293 .356 .353 .292 .203 .118 .090 .137 .265 .426 .523 .500 .409 .306 .208 .078 .145 .331 .578 .715 .665 .537 .418 .317 .102 .182 .407 .721 .911 .851 .679 .535 .439 .133 .212 .433 .765 1.000 .959 .757 .594 .509 .158 .229 .417 .720 .975 .955 .745 .571 .497 .189 .261 .409 .662 .907 .898 .676 .487 .413 .214 .296 .410 .606 .820 .810 .575 .371 .297 .207 .307 .404 .556 .725 .706 .479 .275 .205 846 .188 4646 -5.813 7.05892 .033979 .223264 -.005553 Correlation Surface at 1046 4646 .090 .004 .236 .673 .588 .145 .011 .002 .017 .124 .007 .105 .642 .650 .201 .067 .000 .016 .158 .027 .020 .460 .721 .358 .263 .029 .010 .177 .021 .005 .308 .855 .631 .390 .091 .000 .100 .001 .014 .270 1.000 .825 .354 .112 .025 .068 .003 .044 .254 .821 .705 .382 .177 .141 .124 .005 .049 .232 .502 .443 .417 .281 .177 .117 .043 .016 .218 .365 .253 .301 .214 .060 .015 .018 .003 .179 .345 .160 .118 .039 .001 r_peak,r_snr = .1091386 9.85187 Correlation Surface of oversamples image at 1046 4646 .188 .399 .620 .739 .628 .367 .179 .114 .072 .117 .283 .532 .743 .705 .445 .226 .144 .100 .085 .206 .447 .730 .793 .567 .312 .193 .132 .078 .168 .398 .748 .927 .749 .445 .255 .159 .083 .147 .352 .729 1.000 .889 .557 .291 .151 .078 .120 .275 .604 .901 .877 .593 .297 .122 .092 .134 .275 .586 .901 .924 .690 .395 .172 .128 .177 .301 .578 .889 .942 .754 .497 .263 .091 .128 .197 .350 .545 .621 .537 .384 .221 1046 .094 4646 -1.531 9.85187 .032625 .312560 -.016594 Correlation Surface at 1146 4646 .024 .106 .151 .249 .403 .358 .414 .402 .185 .098 .222 .189 .307 .550 .515 .521 .462 .233 .279 .351 .247 .437 .718 .721 .709 .516 .225 .387 .427 .326 .660 .864 .776 .822 .587 .264 .265 .379 .398 .817 1.000 .792 .821 .629 .388 .099 .187 .341 .748 .963 .818 .761 .587 .413 .038 .069 .219 .525 .678 .712 .688 .492 .300 r_peak,r_snr = .1997288 5.08616 Correlation Surface of oversamples image at 1146 4646 .264 .456 .531 .448 .307 .223 .413 .612 .644 .513 .355 .274 .596 .796 .771 .593 .429 .365 .740 .948 .890 .678 .516 .484 .780 1.000 .954 .738 .583 .586 .708 .929 .930 .752 .617 .641 .573 .775 .831 .723 .625 .660 .426 .585 .671 .641 .595 .643 .292 .391 .472 .498 .508 .572 1146 -1.625 4646 10.969 5.08616 .056157 .269928 .013528 Correlation Surface at 1246 4646 .012 .006 .002 .015 .189 .205 .179 .201 .058 .014 .036 .002 .002 .096 .156 .123 .136 .022 .032 .053 .002 .052 .216 .234 .102 .057 .014 .024 .030 .010 .256 .652 .442 .133 .018 .006 .005 .007 .009 .430 1.000 .503 .141 .005 .000 .002 .000 .015 .410 .738 .320 .150 .011 .010 .003 .000 .025 .286 .339 .118 .174 .035 .029 .000 .004 .025 .173 .193 .056 .170 .050 .047 .002 .003 .015 .097 .198 .076 .099 .043 .013 r_peak,r_snr = .1628153 17.83145 Correlation Surface of oversamples image at 1246 4646 .053 .097 .123 .185 .256 .275 .235 .182 .131 .059 .159 .254 .376 .477 .475 .358 .209 .098 .049 .195 .401 .632 .763 .703 .482 .241 .083 .031 .185 .483 .828 .978 .834 .527 .252 .080 .017 .147 .472 .867 1.000 .789 .462 .231 .089 .012 .114 .409 .761 .833 .593 .321 .181 .102 .013 .095 .336 .596 .582 .351 .166 .116 .106 .021 .088 .280 .451 .371 .169 .059 .058 .098 .034 .087 .238 .351 .244 .077 .015 .024 .083 1246 -.063 4646 4.813 17.83146 .012549 .037933 .004926 Correlation Surface at 1346 4646 .115 .135 .098 .156 .466 .277 .023 .007 .047 .026 .030 .012 .037 .319 .354 .052 .005 .045 .000 .000 .001 .026 .328 .307 .022 .000 .011 .000 .002 .002 .088 .622 .295 .003 .014 .004 .005 .000 .002 .199 1.000 .362 .055 .059 .006 .005 .000 .008 .222 .950 .357 .086 .104 .005 .000 .008 .003 .175 .627 .213 .064 .075 .004 .016 .015 .001 .104 .341 .060 .036 .016 .007 .038 .008 .007 .092 .206 .011 .024 .001 .007 r_peak,r_snr = .1686281 15.1779 Correlation Surface of oversamples image at 1346 4646 .009 .015 .067 .216 .389 .418 .294 .145 .047 .005 .016 .090 .288 .495 .485 .285 .102 .018 .004 .023 .132 .409 .679 .620 .306 .069 .002 .006 .038 .184 .537 .876 .778 .345 .048 .002 .012 .057 .229 .624 1.000 .887 .378 .038 .011 .019 .078 .258 .638 .997 .887 .378 .032 .021 .022 .093 .268 .588 .871 .771 .330 .024 .029 .019 .099 .262 .505 .686 .590 .248 .014 .034 .014 .093 .242 .415 .504 .404 .161 .006 .034 1346 .156 4646 .219 15.17791 .005885 .063678 .002419 Correlation Surface at 1446 4646 .018 .062 .000 .243 .423 .333 .116 .021 .000 .014 .095 .002 .264 .402 .284 .116 .042 .003 .001 .069 .000 .223 .500 .291 .097 .055 .022 .009 .006 .001 .225 .834 .500 .113 .033 .013 .024 .019 .030 .269 1.000 .667 .176 .015 .000 .019 .071 .089 .279 .687 .452 .178 .011 .009 .013 .078 .087 .181 .283 .169 .102 .006 .005 .003 .043 .063 .086 .109 .065 .056 .006 .001 .005 .005 .052 .094 .120 .063 .046 .012 .000 r_peak,r_snr = .1891935 15.13748 Correlation Surface of oversamples image at 1446 4646 .000 .053 .222 .430 .514 .402 .231 .110 .052 .000 .048 .227 .499 .658 .535 .298 .132 .055 .001 .054 .244 .583 .835 .721 .416 .191 .080 .013 .075 .274 .654 .973 .889 .550 .278 .131 .045 .107 .299 .672 1.000 .947 .628 .360 .200 .085 .135 .301 .622 .899 .857 .598 .383 .249 .109 .139 .267 .513 .709 .661 .470 .327 .239 .107 .118 .205 .377 .499 .446 .317 .232 .181 .090 .087 .139 .253 .327 .281 .198 .147 .112 1446 .188 4646 -.125 15.13749 .008305 .042088 .001841 Correlation Surface at 1546 4646 .024 .064 .197 .283 .272 .091 .017 .036 .058 .009 .045 .173 .296 .309 .166 .046 .040 .049 .001 .035 .193 .414 .489 .314 .085 .048 .057 .001 .046 .244 .563 .860 .482 .105 .049 .051 .000 .053 .246 .510 1.000 .574 .107 .043 .029 .009 .037 .214 .351 .664 .448 .102 .038 .009 .015 .027 .233 .360 .373 .221 .085 .036 .002 .002 .049 .320 .536 .334 .097 .052 .032 .000 .000 .094 .372 .601 .358 .053 .023 .029 .000 r_peak,r_snr = .2448802 14.52114 Correlation Surface of oversamples image at 1546 4646 .224 .315 .393 .440 .415 .311 .186 .093 .045 .244 .354 .470 .557 .547 .415 .245 .121 .059 .256 .379 .540 .696 .730 .572 .333 .158 .076 .256 .378 .571 .802 .913 .760 .451 .207 .095 .245 .351 .541 .809 1.000 .899 .564 .262 .114 .228 .311 .464 .705 .926 .902 .613 .302 .129 .217 .281 .384 .553 .733 .760 .563 .301 .131 .230 .289 .351 .436 .531 .552 .439 .257 .120 .267 .345 .383 .395 .396 .372 .298 .189 .097 1546 .125 4646 .094 14.52114 .007172 .023748 -.002032 Correlation Surface at 1646 4646 .201 .068 .156 .432 .347 .187 .221 .300 .188 .182 .030 .073 .355 .295 .095 .107 .204 .176 .124 .006 .007 .247 .384 .111 .074 .096 .081 .062 .001 .000 .208 .799 .372 .140 .092 .042 .036 .006 .002 .174 1.000 .638 .219 .167 .075 .080 .060 .057 .143 .626 .466 .151 .158 .103 .162 .193 .201 .174 .355 .249 .068 .073 .081 .115 .200 .195 .155 .279 .194 .055 .032 .084 .030 .088 .089 .061 .172 .148 .055 .027 .148 r_peak,r_snr = .1762955 11.48626 Correlation Surface of oversamples image at 1646 4646 .051 .151 .289 .355 .270 .131 .055 .037 .050 .023 .097 .263 .425 .401 .227 .095 .045 .040 .007 .058 .246 .526 .611 .414 .194 .085 .054 .000 .031 .225 .618 .849 .667 .356 .165 .092 .001 .015 .193 .643 1.000 .875 .513 .253 .140 .000 .011 .158 .584 .986 .925 .571 .292 .164 .003 .019 .137 .482 .839 .818 .518 .266 .148 .035 .047 .137 .385 .654 .644 .409 .206 .109 .116 .105 .157 .319 .506 .494 .308 .148 .071 1646 .156 4646 -.219 11.48626 .007370 .034594 -.002188 Correlation Surface at 1746 4646 .009 .055 .136 .299 .508 .442 .264 .145 .045 .012 .034 .112 .348 .574 .557 .306 .129 .043 .018 .024 .075 .358 .668 .718 .426 .156 .047 .025 .031 .076 .403 .867 .904 .538 .197 .051 .035 .053 .121 .465 1.000 .931 .522 .206 .051 .044 .070 .163 .436 .830 .710 .411 .191 .054 .052 .076 .164 .346 .562 .470 .286 .169 .065 .063 .089 .168 .332 .477 .378 .215 .154 .083 .071 .095 .171 .367 .509 .368 .192 .151 .091 r_peak,r_snr = .3756836 9.33338 Correlation Surface of oversamples image at 1746 4646 .186 .367 .556 .700 .753 .694 .558 .398 .254 .167 .368 .597 .775 .844 .780 .625 .440 .272 .156 .371 .640 .855 .935 .857 .675 .466 .280 .153 .374 .672 .916 .997 .898 .692 .469 .276 .157 .372 .677 .929 1.000 .883 .667 .448 .263 .164 .360 .643 .875 .928 .806 .605 .408 .243 .168 .335 .574 .766 .800 .688 .519 .357 .220 .165 .302 .492 .643 .661 .565 .432 .306 .197 .160 .272 .421 .540 .550 .466 .358 .259 .174 1746 .438 4646 -.219 9.33338 .005267 .019489 .002407 Correlation Surface at 1846 4646 .006 .017 .058 .198 .232 .076 .008 .029 .044 .021 .030 .103 .186 .132 .019 .004 .033 .040 .031 .021 .121 .264 .240 .035 .008 .023 .016 .028 .010 .108 .400 .701 .212 .023 .019 .003 .012 .003 .086 .439 1.000 .445 .054 .040 .005 .004 .004 .096 .385 .675 .365 .073 .070 .010 .006 .035 .175 .328 .313 .174 .042 .052 .001 .018 .127 .362 .327 .181 .076 .006 .017 .001 .023 .150 .536 .436 .205 .055 .001 .009 .000 r_peak,r_snr = .2006555 17.34738 Correlation Surface of oversamples image at 1846 4646 .038 .123 .218 .289 .244 .103 .017 .000 .001 .032 .134 .283 .443 .451 .247 .060 .003 .001 .033 .150 .351 .616 .719 .476 .151 .015 .000 .044 .175 .407 .740 .936 .695 .258 .034 .000 .067 .213 .444 .774 1.000 .790 .326 .057 .003 .101 .259 .467 .724 .892 .721 .325 .075 .012 .146 .307 .475 .627 .690 .544 .264 .082 .030 .204 .353 .473 .525 .491 .358 .183 .076 .047 .284 .403 .468 .440 .344 .222 .114 .060 .051 1846 .031 4646 -.063 17.34739 .007339 .022683 -.001815 Correlation Surface at 1946 4646 .002 .000 .035 .000 .156 .158 .031 .004 .029 .042 .023 .007 .000 .153 .100 .022 .003 .018 .049 .074 .014 .039 .340 .117 .009 .012 .019 .004 .024 .015 .147 .845 .373 .039 .024 .029 .002 .001 .010 .123 1.000 .607 .115 .056 .022 .000 .006 .058 .026 .428 .325 .125 .100 .003 .000 .000 .004 .017 .082 .040 .047 .078 .000 .006 .007 .049 .057 .023 .008 .000 .014 .003 .010 .015 .111 .077 .024 .046 .045 .002 .022 r_peak,r_snr = .1503666 24.17632 Correlation Surface of oversamples image at 1946 4646 .000 .016 .157 .391 .443 .287 .143 .094 .076 .011 .042 .219 .478 .511 .311 .134 .077 .068 .038 .089 .323 .641 .675 .405 .161 .077 .061 .058 .137 .427 .823 .883 .541 .215 .092 .063 .044 .139 .451 .899 1.000 .634 .263 .113 .071 .013 .092 .368 .790 .921 .610 .268 .126 .080 .000 .040 .231 .551 .677 .467 .218 .116 .085 .005 .011 .114 .301 .383 .272 .133 .082 .073 .006 .003 .051 .134 .165 .113 .056 .040 .047 1946 .344 4646 -.469 24.17632 .008449 .028205 -.002002 Correlation Surface at 2046 4646 .052 .156 .229 .330 .482 .318 .095 .059 .031 .036 .124 .247 .377 .550 .350 .123 .058 .021 .027 .103 .236 .391 .666 .456 .200 .080 .021 .027 .085 .201 .412 .867 .627 .281 .110 .024 .033 .063 .165 .451 1.000 .743 .302 .115 .028 .026 .046 .137 .446 .910 .716 .310 .125 .049 .004 .034 .114 .385 .741 .645 .364 .203 .127 .002 .020 .090 .292 .596 .557 .390 .323 .255 .010 .007 .068 .225 .443 .391 .308 .363 .325 r_peak,r_snr = .3239147 8.9092 Correlation Surface of oversamples image at 2046 4646 .296 .351 .497 .687 .776 .688 .504 .330 .202 .285 .354 .522 .736 .840 .748 .553 .371 .235 .274 .367 .564 .805 .915 .805 .589 .398 .259 .264 .380 .605 .867 .978 .849 .612 .411 .271 .250 .383 .622 .890 1.000 .866 .624 .417 .274 .231 .370 .604 .860 .970 .857 .632 .426 .279 .208 .343 .560 .791 .903 .829 .642 .445 .295 .188 .316 .512 .719 .832 .800 .656 .475 .328 .171 .290 .471 .659 .772 .772 .668 .510 .375 2046 .469 4646 -.031 8.90920 .004643 .049309 -.000894 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .003 .020 .053 .030 .051 .038 .066 .170 .371 .001 .019 .039 .009 .016 .018 .034 .083 .244 .002 .037 .020 .046 .188 .046 .020 .060 .136 .001 .009 .000 .286 .998 .359 .012 .089 .059 .000 .004 .026 .307 1.000 .422 .003 .093 .028 .011 .007 .042 .122 .347 .180 .001 .082 .052 .036 .000 .016 .041 .089 .076 .000 .084 .142 .010 .001 .000 .008 .040 .065 .011 .046 .203 .021 .014 .000 .005 .009 .056 .040 .004 .126 r_peak,r_snr = .1449205 18.13767 Correlation Surface of oversamples image at 146 5046 .040 .024 .002 .009 .026 .022 .008 .000 .004 .038 .006 .018 .134 .233 .182 .064 .003 .006 .028 .000 .086 .378 .613 .489 .184 .015 .007 .012 .005 .159 .597 .953 .781 .313 .036 .004 .001 .014 .178 .621 1.000 .843 .359 .052 .002 .001 .019 .135 .456 .757 .663 .300 .052 .000 .006 .018 .077 .255 .447 .417 .205 .044 .000 .008 .013 .034 .113 .220 .233 .133 .038 .002 .006 .008 .013 .044 .102 .133 .095 .039 .007 146 .094 5046 .313 18.13768 .010321 .032056 -.000135 Correlation Surface at 246 5046 .043 .070 .333 .439 .426 .244 .156 .135 .028 .000 .005 .185 .248 .317 .302 .250 .307 .177 .057 .030 .074 .192 .296 .253 .279 .385 .349 .114 .099 .024 .261 .568 .262 .163 .326 .349 .059 .059 .018 .336 1.000 .402 .064 .225 .326 .001 .001 .019 .205 .914 .463 .052 .135 .349 .067 .052 .024 .052 .398 .289 .075 .093 .366 .085 .052 .057 .048 .146 .101 .064 .083 .353 .085 .032 .099 .193 .151 .049 .036 .049 .273 r_peak,r_snr = .1164945 7.98377 Correlation Surface of oversamples image at 246 5046 .004 .070 .203 .321 .305 .194 .115 .087 .109 .004 .099 .316 .539 .511 .265 .094 .043 .059 .013 .152 .468 .802 .764 .371 .088 .016 .021 .030 .203 .588 .993 .963 .486 .107 .009 .006 .040 .209 .588 .998 1.000 .556 .147 .014 .004 .034 .158 .461 .819 .870 .547 .190 .034 .009 .023 .091 .288 .567 .660 .476 .219 .068 .025 .016 .044 .148 .336 .445 .374 .218 .097 .043 .017 .023 .067 .171 .265 .261 .183 .097 .045 246 .250 5046 .781 7.98377 .016902 .098822 -.009393 Correlation Surface at 346 5046 .017 .056 .059 .024 .254 .243 .055 .001 .003 .050 .084 .035 .061 .360 .314 .106 .019 .010 .070 .095 .004 .179 .516 .312 .059 .011 .023 .034 .075 .002 .351 .863 .332 .013 .004 .007 .002 .034 .024 .299 1.000 .328 .009 .010 .004 .000 .010 .034 .218 .792 .273 .022 .000 .006 .000 .009 .023 .215 .726 .339 .072 .005 .000 .005 .006 .019 .165 .879 .578 .178 .002 .030 .053 .000 .011 .092 .819 .657 .220 .000 .102 r_peak,r_snr = .1415693 11.85309 Correlation Surface of oversamples image at 346 5046 .007 .023 .248 .588 .719 .528 .226 .046 .001 .003 .036 .289 .622 .710 .513 .236 .066 .011 .001 .050 .346 .723 .807 .593 .308 .121 .043 .001 .048 .356 .803 .943 .726 .423 .208 .097 .003 .027 .287 .767 1.000 .820 .517 .292 .154 .006 .014 .218 .674 .974 .850 .572 .364 .223 346 -.031 5046 1.813 11.85309 .009235 .153900 -.003773 Correlation Surface at 446 5046 .010 .003 .004 .145 .430 .260 .180 .030 .015 .064 .002 .003 .168 .508 .354 .102 .027 .000 .116 .001 .013 .407 .808 .418 .028 .000 .009 .048 .011 .000 .465 1.000 .371 .019 .008 .016 .002 .056 .041 .167 .663 .209 .036 .002 .015 .001 .024 .035 .010 .222 .059 .031 .000 .000 .001 .000 .002 .010 .124 .047 .025 .002 .012 .000 .001 .033 .070 .197 .143 .057 .031 .003 r_peak,r_snr = .1149075 13.52254 Correlation Surface of oversamples image at 446 5046 .004 .017 .143 .370 .543 .513 .355 .227 .168 .000 .046 .215 .459 .616 .563 .366 .190 .102 .003 .096 .341 .624 .740 .622 .370 .152 .048 .002 .124 .466 .825 .893 .678 .371 .127 .021 .002 .091 .489 .946 1.000 .696 .353 .110 .012 .030 .032 .391 .904 .990 .652 .307 .097 .012 .084 .001 .230 .700 .831 .534 .234 .077 .015 .116 .009 .096 .439 .589 .383 .157 .053 .017 .084 .017 .033 .239 .376 .261 .104 .036 .018 446 -.188 5046 -11.781 13.52254 .019763 .101425 -.001911 Correlation Surface at 546 5046 .028 .000 .083 .044 .138 .427 .711 .999 .993 .000 .012 .030 .036 .206 .366 .396 .634 .722 .019 .135 .081 .126 .465 .486 .223 .123 .152 .040 .291 .218 .299 .861 .747 .150 .000 .004 .050 .149 .172 .321 1.000 .937 .132 .010 .004 .057 .001 .013 .181 .671 .763 .145 .001 .021 .061 .042 .017 .089 .370 .456 .133 .025 .024 .030 .010 .011 .072 .312 .397 .124 .041 .016 .005 .057 .036 .098 .363 .478 .149 .042 .024 r_peak,r_snr = .1119101 6.22636 Correlation Surface of oversamples image at 546 5046 8.318 8.336 9.494 12.337 6.569 7.013 8.745 11.903 4.858 5.052 6.372 8.916 3.836 3.489 3.952 5.393 3.365 2.410 2.120 2.684 546 2.844 5046 3.219 6.22636 .045087 .138482 -.014279 Correlation Surface at 646 5046 .001 .026 .048 .119 .118 .095 .373 .588 .235 .024 .027 .019 .188 .302 .173 .500 .992 .622 .064 .020 .004 .234 .477 .251 .322 .824 .879 .063 .016 .023 .384 .701 .289 .120 .433 .768 .045 .024 .062 .520 1.000 .391 .077 .206 .525 .035 .041 .039 .318 .964 .533 .131 .171 .427 .063 .039 .007 .078 .516 .543 .174 .214 .477 .139 .025 .001 .007 .184 .410 .107 .169 .487 .148 .011 .009 .001 .116 .319 .047 .048 .315 r_peak,r_snr = .1277628 5.62731 Correlation Surface of oversamples image at 646 5046 .015 .108 .278 .404 .408 .353 .019 .135 .388 .621 .656 .581 .033 .167 .485 .812 .881 .791 .056 .192 .523 .897 1.000 .913 .081 .191 .477 .838 .972 .912 .103 .172 .383 .684 .831 .813 .130 .158 .291 .504 .632 .650 .172 .162 .224 .341 .420 .455 646 2.844 5046 -3.469 5.62731 .021140 .206608 -.024270 Correlation Surface at 746 5046 .093 .280 .222 .174 .123 .085 .073 .051 .001 .028 .146 .073 .033 .030 .050 .117 .069 .001 .024 .052 .008 .027 .080 .023 .057 .076 .000 .042 .040 .020 .188 .453 .071 .033 .110 .007 .038 .032 .071 .487 1.000 .341 .141 .210 .046 .033 .019 .079 .454 .894 .580 .356 .234 .019 .071 .054 .066 .255 .453 .383 .251 .071 .011 .123 .208 .133 .212 .284 .137 .034 .003 .067 .056 .300 .271 .336 .401 .102 .000 .021 .016 r_peak,r_snr = .1154922 11.09684 Correlation Surface of oversamples image at 746 5046 .147 .135 .205 .335 .330 .169 .037 .009 .035 .133 .165 .308 .525 .525 .285 .075 .018 .040 .119 .206 .437 .742 .765 .471 .174 .063 .080 .093 .225 .522 .882 .950 .671 .333 .167 .169 .056 .204 .514 .879 1.000 .798 .488 .306 .293 .026 .154 .425 .748 .903 .794 .555 .405 .397 .012 .104 .313 .571 .719 .670 .509 .416 .424 .015 .080 .231 .427 .534 .494 .389 .347 .364 .045 .089 .196 .338 .398 .336 .250 .234 .246 746 -.125 5046 .344 11.09684 .019999 .061022 -.007809 Correlation Surface at 846 5046 .007 .012 .059 .007 .173 .396 .463 .264 .317 .011 .004 .006 .000 .309 .577 .564 .303 .300 .045 .051 .009 .027 .536 .774 .470 .235 .245 .026 .074 .060 .181 .874 .781 .401 .205 .182 .000 .065 .107 .343 1.000 .685 .550 .347 .216 .001 .040 .050 .219 .709 .571 .793 .613 .335 .063 .024 .002 .071 .335 .408 .660 .707 .419 .227 .024 .000 .043 .135 .239 .288 .449 .341 .234 .009 .001 .082 .107 .163 .110 .230 .185 r_peak,r_snr = .1148483 7.32547 Correlation Surface of oversamples image at 846 5046 2.712 .967 .017 1.636 2.319 6.186 2.366 .030 1.279 2.111 9.803 4.005 .187 .893 1.635 13.681 6.436 .628 .396 .884 846 -3.906 5046 3.844 7.32547 .028964 .167162 .016256 Correlation Surface at 946 5046 .012 .088 .187 .361 .309 .210 .132 .017 .002 .001 .078 .224 .444 .398 .220 .143 .030 .001 .000 .055 .258 .595 .538 .233 .136 .040 .000 .005 .049 .283 .854 .813 .329 .128 .024 .002 .033 .061 .261 .877 1.000 .554 .160 .008 .014 .065 .091 .262 .615 .757 .633 .234 .004 .020 .038 .094 .246 .392 .386 .358 .229 .007 .016 r_peak,r_snr = .1658765 9.97352 Correlation Surface of oversamples image at 946 5046 .171 .337 .528 .676 .677 .516 .337 .238 .214 .124 .299 .542 .751 .771 .596 .395 .276 .235 .074 .233 .515 .806 .878 .712 .505 .363 .283 .036 .161 .452 .819 .969 .841 .652 .497 .363 .017 .106 .377 .780 1.000 .935 .790 .644 .457 .014 .084 .317 .697 .941 .935 .852 .742 .540 .023 .085 .275 .581 .786 .799 .768 .716 .560 .042 .101 .249 .465 .592 .577 .555 .553 .480 .066 .123 .235 .373 .424 .367 .323 .332 .326 946 .594 5046 12.031 9.97352 .053068 .093534 -.039987 Correlation Surface at 1046 5046 .006 .013 .035 .166 .511 .350 .135 .007 .023 .004 .021 .082 .321 .532 .394 .220 .065 .070 .027 .087 .197 .550 .630 .516 .389 .160 .054 .088 .177 .317 .824 .815 .553 .421 .128 .015 .072 .200 .358 .981 1.000 .474 .250 .021 .001 .007 .118 .273 .785 .921 .367 .100 .001 .013 .004 .013 .104 .424 .678 .303 .056 .000 .003 .005 .003 .023 .248 .466 .275 .057 .000 .000 .004 .007 .014 .307 .430 .270 .068 .002 .000 r_peak,r_snr = .1565795 8.19095 Correlation Surface of oversamples image at 1046 5046 .120 .192 .347 .534 .650 .659 .629 .616 .603 .156 .233 .403 .615 .743 .722 .641 .595 .574 .186 .270 .455 .701 .858 .817 .669 .552 .482 .202 .290 .485 .762 .960 .917 .707 .505 .366 .195 .282 .474 .767 1.000 .980 .742 .471 .272 .155 .233 .410 .699 .953 .975 .757 .453 .215 .092 .158 .313 .581 .838 .903 .736 .442 .191 .039 .089 .220 .459 .702 .793 .685 .434 .194 .011 .045 .153 .359 .571 .662 .601 .415 .209 1046 -.281 5046 6.563 8.19095 .045559 .215935 .026716 Correlation Surface at 1146 5046 .010 .023 .092 .268 .395 .346 .165 .001 .005 .001 .006 .082 .439 .413 .182 .088 .003 .018 .018 .004 .064 .471 .496 .200 .038 .000 .001 .117 .045 .040 .432 .719 .341 .045 .026 .015 .250 .134 .010 .402 1.000 .448 .074 .084 .031 .223 .158 .001 .264 .887 .421 .103 .146 .037 .130 .086 .005 .092 .352 .255 .134 .197 .056 .155 .071 .027 .054 .084 .107 .125 .209 .067 .229 .114 .030 .168 .145 .098 .077 .129 .049 r_peak,r_snr = .1322215 12.50532 Correlation Surface of oversamples image at 1146 5046 .070 .199 .348 .466 .484 .376 .199 .072 .025 .061 .205 .389 .556 .608 .473 .235 .074 .025 .043 .194 .432 .686 .794 .612 .280 .078 .028 .025 .168 .453 .796 .958 .730 .312 .077 .029 .015 .143 .440 .823 1.000 .756 .314 .075 .033 .011 .118 .377 .720 .867 .655 .280 .078 .043 .013 .098 .285 .531 .626 .481 .230 .089 .066 .021 .085 .199 .341 .392 .309 .178 .103 .093 .030 .075 .135 .205 .226 .183 .130 .108 .112 1146 -.031 5046 -.625 12.50533 .016643 .139797 -.013212 Correlation Surface at 1246 5046 .074 .052 .125 .568 .585 .162 .122 .114 .130 .107 .031 .089 .623 .599 .120 .041 .024 .038 .053 .017 .109 .730 .759 .087 .000 .000 .027 .054 .019 .128 .781 .983 .099 .012 .002 .060 .158 .048 .129 .721 1.000 .129 .010 .012 .086 .267 .085 .159 .724 .849 .156 .012 .009 .109 .246 .108 .175 .751 .773 .170 .013 .005 .178 .141 .083 .105 .559 .628 .160 .003 .040 .290 .053 .024 .051 .374 .405 .131 .085 .168 .387 r_peak,r_snr = .1334922 9.06375 Correlation Surface of oversamples image at 1246 5046 .223 .631 1.783 3.350 4.000 3.157 1.669 .661 .279 .092 .313 1.185 2.701 3.572 3.007 1.667 .658 .246 .078 .224 .920 2.315 3.312 2.944 1.672 .600 .158 .126 .278 .947 2.258 3.274 2.974 1.689 .525 .074 .189 .384 1.108 2.404 3.384 3.057 1.698 .459 .025 1246 -.531 5046 -2.813 9.06375 .013334 .728499 -.028763 Correlation Surface at 1346 5046 .020 .031 .069 .316 .649 .498 .230 .148 .221 .025 .037 .092 .292 .559 .393 .207 .172 .243 .013 .023 .101 .340 .627 .398 .200 .209 .283 .001 .005 .087 .435 .851 .527 .193 .204 .337 .000 .000 .066 .459 1.000 .678 .207 .189 .376 .001 .000 .052 .384 .913 .704 .226 .177 .346 .008 .005 .051 .304 .720 .586 .207 .152 .265 .011 .006 .048 .287 .628 .473 .171 .120 .201 .007 .002 .035 .319 .698 .482 .171 .110 .182 r_peak,r_snr = .3048323 7.21804 Correlation Surface of oversamples image at 1346 5046 .058 .210 .439 .601 .565 .380 .216 .143 .160 .057 .229 .508 .724 .705 .485 .262 .145 .140 .051 .233 .557 .839 .853 .612 .334 .166 .136 .043 .220 .568 .909 .969 .731 .418 .205 .149 .032 .190 .529 .896 1.000 .791 .477 .240 .163 .023 .153 .453 .802 .928 .764 .483 .252 .165 .017 .123 .376 .675 .794 .670 .438 .237 .153 .012 .102 .316 .558 .651 .551 .363 .199 .129 .006 .087 .276 .473 .536 .446 .292 .159 .102 1346 .375 5046 .844 7.21804 .005230 .054404 -.005011 Correlation Surface at 1446 5046 .416 .512 .595 .777 .991 .911 .641 .459 .445 .469 .605 .704 .798 .901 .845 .627 .474 .448 .517 .665 .797 .847 .841 .749 .605 .494 .490 .510 .634 .786 .879 .919 .802 .652 .543 .531 .437 .535 .694 .839 1.000 .916 .728 .614 .563 .370 .461 .629 .773 .964 .931 .739 .669 .630 .332 .439 .609 .748 .881 .879 .707 .671 .689 .315 .430 .595 .756 .837 .829 .685 .659 .674 .318 .431 .625 .805 .842 .767 .656 .656 .605 r_peak,r_snr = .4064874 2.21547 Correlation Surface of oversamples image at 1446 5046 .928 .929 .908 .884 .854 .807 .748 .676 .615 .891 .911 .912 .910 .891 .834 .759 .684 .623 .825 .868 .901 .935 .938 .877 .786 .704 .646 .756 .815 .879 .949 .979 .921 .818 .731 .678 .704 .768 .852 .948 1.000 .950 .841 .752 .709 .677 .734 .822 .929 .995 .957 .849 .760 .725 .677 .725 .801 .902 .971 .945 .846 .758 .727 .701 .744 .799 .876 .938 .923 .838 .755 .724 .738 .784 .817 .860 .904 .896 .828 .755 .722 1446 .531 5046 4.625 2.21547 .034178 .117184 -.039433 Correlation Surface at 1546 5046 .129 .054 .017 .379 .626 .342 .120 .080 .033 .122 .044 .021 .378 .674 .377 .098 .031 .012 .148 .043 .030 .402 .776 .509 .173 .042 .002 .174 .049 .040 .471 .931 .621 .265 .093 .001 .170 .052 .036 .480 1.000 .702 .307 .120 .000 .178 .060 .015 .374 .918 .759 .347 .098 .000 .186 .068 .003 .275 .798 .763 .378 .080 .000 .166 .065 .006 .264 .721 .700 .343 .082 .007 .140 .048 .025 .336 .676 .602 .272 .076 .021 r_peak,r_snr = .2460525 8.34784 Correlation Surface of oversamples image at 1546 5046 .009 .125 .383 .642 .738 .670 .501 .296 .134 .010 .129 .400 .689 .813 .752 .578 .366 .193 .012 .136 .418 .739 .892 .832 .644 .434 .269 .013 .144 .435 .780 .963 .905 .704 .493 .340 .013 .146 .437 .791 1.000 .959 .754 .541 .390 .011 .136 .418 .767 .996 .986 .795 .579 .416 .008 .118 .379 .718 .963 .990 .828 .613 .429 .005 .097 .330 .652 .910 .975 .848 .640 .435 .003 .078 .283 .589 .855 .947 .851 .652 .435 1546 .188 5046 -.188 8.34784 .010496 .234119 -.022437 Correlation Surface at 1646 5046 .041 .027 .006 .136 .395 .218 .145 .260 .178 .064 .056 .030 .065 .129 .110 .076 .258 .240 .054 .103 .112 .121 .081 .056 .113 .326 .486 .072 .207 .328 .481 .476 .192 .224 .401 .679 .236 .459 .577 .859 1.000 .397 .275 .413 .592 .500 .767 .611 .725 .612 .212 .233 .537 .650 .490 .808 .525 .513 .275 .047 .165 .688 .852 .301 .676 .512 .448 .363 .082 .093 .477 .663 .184 .631 .548 .403 .460 .259 .071 .192 .231 r_peak,r_snr = .1290867 5.10566 Correlation Surface of oversamples image at 1646 5046 .314 .588 1.031 1.259 .496 .889 1.523 1.980 .800 1.362 2.149 2.812 1.152 1.878 2.733 3.486 1.421 2.228 3.037 3.727 1.497 2.301 2.984 3.495 1.381 2.173 2.747 3.061 1.153 1.987 2.536 2.727 .881 1.806 2.440 2.614 1646 3.813 5046 -.938 5.10566 .036173 .026534 .003877 Correlation Surface at 1746 5046 .007 .017 .031 .152 .356 .243 .026 .003 .001 .000 .003 .031 .179 .431 .352 .085 .006 .017 .000 .001 .060 .388 .667 .497 .155 .002 .034 .000 .012 .119 .746 .969 .497 .125 .000 .009 .001 .018 .101 .800 1.000 .348 .048 .000 .000 .005 .011 .023 .403 .632 .189 .011 .005 .000 .011 .017 .012 .156 .282 .092 .000 .049 .024 .011 .052 .078 .186 .209 .064 .005 .166 .108 .004 .096 .260 .395 .282 .071 .009 .233 .172 r_peak,r_snr = .1794426 14.15859 Correlation Surface of oversamples image at 1746 5046 .000 .024 .106 .216 .312 .380 .382 .302 .201 .001 .042 .177 .354 .469 .495 .441 .320 .198 .004 .067 .267 .532 .675 .638 .499 .326 .180 .009 .093 .355 .709 .879 .773 .543 .317 .152 .012 .105 .399 .810 1.000 .840 .545 .287 .121 .008 .086 .360 .768 .960 .788 .480 .232 .087 .002 .050 .259 .604 .780 .637 .371 .168 .058 .000 .023 .159 .412 .556 .458 .260 .115 .039 .000 .012 .096 .269 .376 .313 .179 .082 .030 1746 .500 5046 -.344 14.15860 .013978 .062664 .001739 Correlation Surface at 1846 5046 .031 .020 .021 .014 .024 .010 .001 .001 .023 .018 .028 .036 .024 .021 .008 .004 .003 .036 .010 .019 .067 .136 .179 .087 .001 .025 .010 .008 .005 .064 .340 .713 .354 .009 .017 .004 .008 .001 .019 .301 1.000 .480 .026 .002 .016 .007 .001 .001 .081 .559 .236 .002 .004 .018 .001 .021 .029 .000 .152 .041 .013 .020 .000 .001 .063 .042 .000 .084 .026 .019 .024 .006 .000 .029 .005 .020 .177 .123 .001 .019 .008 r_peak,r_snr = .1954561 28.78684 Correlation Surface of oversamples image at 1846 5046 .068 .109 .182 .294 .343 .254 .106 .010 .011 .081 .152 .272 .450 .545 .440 .228 .054 .000 .075 .164 .334 .598 .772 .664 .385 .129 .008 .052 .134 .331 .680 .951 .856 .519 .204 .031 .024 .079 .264 .655 1.000 .925 .560 .226 .045 .004 .028 .166 .530 .884 .820 .468 .170 .029 .001 .002 .075 .358 .656 .589 .290 .075 .004 .016 .005 .021 .210 .430 .356 .129 .011 .005 .038 .021 .004 .125 .283 .207 .044 .001 .036 1846 .156 5046 -.063 28.78684 .006358 .017628 -.001507 Correlation Surface at 1946 5046 .015 .005 .022 .075 .165 .284 .040 .006 .011 .009 .006 .012 .132 .152 .174 .027 .006 .022 .004 .000 .004 .165 .285 .106 .008 .000 .015 .060 .007 .008 .181 .703 .241 .041 .038 .007 .071 .038 .031 .203 1.000 .442 .131 .132 .094 .013 .062 .046 .137 .593 .331 .140 .139 .125 .000 .068 .043 .046 .151 .168 .142 .103 .053 .001 .071 .050 .014 .037 .152 .243 .115 .006 .015 .070 .043 .013 .022 .114 .271 .150 .001 r_peak,r_snr = .1555342 19.40857 Correlation Surface of oversamples image at 1946 5046 .009 .035 .113 .236 .269 .198 .113 .061 .039 .009 .033 .136 .351 .470 .364 .194 .091 .057 .014 .040 .164 .475 .719 .604 .325 .149 .093 .026 .057 .201 .577 .933 .834 .461 .212 .131 .043 .078 .230 .613 1.000 .926 .524 .241 .150 .057 .087 .221 .545 .869 .824 .482 .226 .141 .055 .070 .162 .384 .598 .580 .366 .187 .119 .047 .043 .089 .212 .332 .341 .251 .158 .109 .045 .025 .038 .096 .161 .191 .186 .162 .132 1946 .188 5046 -.063 19.40858 .007675 .030479 -.001613 Correlation Surface at 2046 5046 .004 .009 .014 .053 .038 .037 .021 .002 .001 .000 .008 .032 .071 .074 .082 .050 .011 .008 .001 .009 .029 .060 .179 .227 .093 .023 .017 .000 .006 .021 .133 .604 .623 .170 .021 .002 .001 .005 .020 .252 1.000 .870 .204 .015 .001 .007 .008 .021 .203 .626 .522 .140 .015 .000 .018 .019 .017 .108 .223 .178 .060 .014 .003 .035 .024 .008 .069 .134 .093 .035 .018 .023 .058 .012 .000 .022 .096 .093 .046 .032 .067 r_peak,r_snr = .2280013 31.09097 Correlation Surface of oversamples image at 2046 5046 .028 .024 .047 .101 .153 .158 .127 .083 .047 .035 .044 .105 .230 .335 .324 .227 .122 .056 .052 .095 .233 .464 .617 .551 .345 .157 .058 .078 .177 .413 .739 .895 .735 .421 .169 .050 .108 .263 .562 .904 1.000 .760 .405 .148 .036 .134 .311 .586 .844 .858 .607 .305 .103 .022 .143 .300 .485 .613 .572 .379 .178 .054 .010 .136 .255 .348 .378 .321 .200 .085 .021 .003 .119 .207 .247 .233 .181 .106 .039 .007 .000 2046 .375 5046 .000 31.09098 .007404 .011495 .001161 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .002 .031 .009 .060 .055 .000 .006 .009 .031 .001 .073 .075 .013 .038 .004 .000 .001 .038 .003 .056 .070 .031 .219 .007 .003 .001 .050 .001 .016 .009 .139 .824 .173 .001 .000 .076 .001 .002 .004 .158 1.000 .402 .000 .021 .135 .004 .001 .018 .093 .374 .229 .006 .063 .186 .004 .000 .019 .075 .056 .014 .034 .094 .175 .000 .007 .011 .061 .028 .000 .040 .079 .120 .002 .023 .011 .023 .022 .003 .003 .022 .048 r_peak,r_snr = .1659536 31.93588 Correlation Surface of oversamples image at 146 5446 .031 .013 .006 .101 .141 .033 .003 .014 .001 .004 .000 .036 .235 .359 .147 .001 .021 .010 .004 .011 .098 .427 .701 .392 .032 .020 .032 .026 .040 .154 .559 .984 .675 .105 .012 .058 .054 .068 .170 .538 1.000 .794 .168 .006 .084 .075 .087 .153 .399 .748 .650 .159 .005 .106 .081 .097 .130 .248 .422 .364 .081 .013 .128 .073 .101 .118 .158 .200 .138 .014 .036 .155 .055 .095 .122 .132 .111 .042 .001 .072 .178 146 .125 5446 -.188 31.93588 .005861 .018529 -.000853 Correlation Surface at 246 5446 .046 .171 .184 .142 .370 .436 .342 .306 .236 .079 .182 .268 .174 .366 .446 .261 .228 .282 .128 .192 .278 .346 .568 .571 .349 .223 .295 .165 .253 .245 .486 .997 .790 .457 .262 .237 .170 .372 .293 .394 1.000 .824 .402 .227 .141 .182 .406 .379 .257 .518 .516 .313 .211 .100 .271 .325 .332 .244 .282 .263 .256 .254 .113 .311 .244 .204 .296 .358 .236 .195 .285 .149 .185 .175 .130 .261 .456 .335 .171 .263 .186 r_peak,r_snr = .1992768 7.63165 Correlation Surface of oversamples image at 246 5446 .341 .291 .259 .290 .365 .407 .360 .252 .151 .324 .347 .381 .452 .533 .542 .451 .310 .186 .285 .360 .486 .645 .755 .714 .549 .367 .224 .256 .341 .527 .786 .953 .872 .631 .406 .253 .252 .303 .482 .782 1.000 .921 .650 .409 .263 .280 .271 .386 .640 .852 .803 .571 .363 .249 .334 .261 .297 .453 .602 .575 .421 .286 .222 .387 .271 .240 .303 .373 .351 .267 .204 .192 .410 .294 .226 .227 .237 .209 .162 .141 .165 246 .125 5446 -.625 7.63165 .013337 .031836 -.000488 Correlation Surface at 346 5446 .076 .037 .004 .417 .678 .044 .124 .072 .043 .061 .000 .045 .318 .489 .044 .078 .019 .013 .017 .025 .141 .426 .625 .066 .081 .003 .155 .001 .062 .237 .588 .932 .133 .101 .010 .161 .013 .068 .261 .608 1.000 .243 .067 .072 .011 .003 .066 .253 .443 .811 .317 .033 .172 .046 .005 .072 .333 .354 .648 .252 .084 .316 .117 .023 .061 .438 .385 .517 .168 .234 .572 .141 .052 .032 .349 .443 .412 .146 .197 .695 .190 r_peak,r_snr = .1138026 7.35552 Correlation Surface of oversamples image at 346 5446 .053 .091 .195 .365 .416 .222 .024 .016 .058 .068 .126 .279 .528 .628 .373 .061 .009 .067 .076 .153 .349 .673 .840 .564 .141 .000 .045 .079 .160 .370 .734 .972 .735 .254 .017 .013 .082 .157 .350 .708 1.000 .838 .360 .059 .000 .084 .151 .310 .629 .934 .840 .396 .079 .000 .085 .149 .280 .550 .832 .768 .355 .055 .002 .090 .163 .277 .500 .736 .669 .278 .018 .031 .090 .183 .291 .468 .646 .563 .200 .000 .121 346 .094 5446 8.438 7.35552 .026268 .497552 -.059735 Correlation Surface at 446 5446 .059 .134 .373 .345 .410 .326 .129 .099 .403 .057 .198 .385 .394 .434 .403 .209 .146 .382 .085 .290 .482 .726 .696 .418 .172 .123 .251 .131 .334 .518 .996 .980 .393 .104 .058 .073 .111 .231 .427 .877 1.000 .374 .082 .026 .010 .086 .139 .290 .626 .782 .316 .094 .042 .036 .098 .103 .166 .398 .528 .247 .100 .096 .178 .111 .078 .078 .259 .389 .233 .120 .152 .321 r_peak,r_snr = .1477816 4.40925 Correlation Surface of oversamples image at 446 5446 .364 .362 .274 .234 .302 .445 .535 .495 .377 .396 .418 .364 .345 .422 .540 .565 .470 .341 .433 .482 .495 .540 .641 .695 .592 .406 .263 .457 .517 .597 .731 .872 .847 .598 .325 .176 .455 .510 .619 .817 1.000 .927 .579 .256 .112 .424 .470 .573 .778 .980 .913 .547 .218 .083 .362 .414 .493 .663 .852 .824 .514 .211 .083 .282 .346 .411 .536 .687 .695 .477 .225 .103 .202 .273 .339 .435 .547 .571 .439 .248 .135 446 -.344 5446 10.219 4.40925 .028826 .294743 -.028869 Correlation Surface at 546 5446 .005 .001 .000 .041 .118 .039 .006 .048 .011 .012 .004 .011 .060 .098 .067 .003 .026 .003 .037 .009 .015 .158 .319 .219 .005 .020 .011 .034 .006 .005 .253 .769 .390 .036 .007 .033 .003 .000 .003 .271 1.000 .351 .027 .005 .039 .005 .003 .010 .352 .943 .229 .001 .012 .019 .015 .016 .012 .384 .670 .150 .001 .005 .001 .011 .025 .000 .174 .273 .073 .003 .007 .003 .002 .010 .019 .022 .078 .033 .020 .038 .010 r_peak,r_snr = .1600171 22.26379 Correlation Surface of oversamples image at 546 5446 .038 .086 .152 .212 .253 .273 .237 .130 .024 .023 .082 .217 .380 .465 .447 .352 .198 .053 .011 .068 .259 .550 .708 .630 .445 .244 .078 .005 .056 .272 .663 .902 .764 .478 .242 .080 .005 .054 .274 .709 1.000 .814 .443 .189 .056 .007 .063 .285 .710 .994 .777 .363 .116 .023 .010 .082 .306 .676 .898 .673 .270 .057 .003 .012 .098 .318 .607 .735 .521 .186 .023 .001 .007 .095 .297 .499 .541 .360 .118 .008 .006 546 .031 5446 .219 22.26379 .008156 .171671 .013151 Correlation Surface at 646 5446 .000 .014 .092 .227 .189 .177 .132 .000 .001 .027 .078 .207 .363 .244 .257 .282 .061 .048 .110 .158 .184 .410 .448 .304 .228 .165 .157 .209 .214 .114 .484 .851 .395 .141 .162 .181 .170 .236 .078 .311 1.000 .570 .192 .131 .109 .051 .185 .060 .048 .556 .693 .301 .115 .043 .005 .108 .052 .004 .155 .519 .262 .069 .010 .013 .067 .026 .029 .094 .264 .110 .023 .003 .084 .079 .001 .052 .195 .182 .043 .015 .009 r_peak,r_snr = .1311201 11.75667 Correlation Surface of oversamples image at 646 5446 .216 .298 .399 .441 .400 .332 .309 .313 .287 .207 .275 .409 .532 .540 .444 .344 .279 .235 .169 .235 .420 .650 .731 .601 .402 .255 .180 .115 .178 .405 .749 .922 .768 .474 .253 .147 .062 .104 .322 .732 1.000 .862 .519 .257 .132 .027 .040 .190 .571 .902 .830 .509 .253 .130 .011 .008 .075 .349 .681 .697 .451 .234 .130 .007 .000 .017 .169 .441 .524 .364 .197 .118 .010 .000 .004 .077 .267 .371 .278 .153 .092 646 .063 5446 .500 11.75668 .024166 .078921 -.026177 Correlation Surface at 746 5446 .058 .003 .014 .322 .787 .391 .120 .019 .000 .213 .939 .191 .047 .026 .004 .126 1.000 .185 .000 .002 .008 .069 .484 .130 .023 .003 .011 .015 .079 .018 .165 .035 .008 .002 .019 .000 .455 .148 .006 .006 .056 .000 r_peak,r_snr = 9.05927E-02 8.51097 Correlation Surface of oversamples image at 746 5446 .098 .249 .576 .929 .928 .593 .291 .163 .097 .092 .208 .500 .902 1.000 .674 .322 .174 .125 .090 .183 .421 .784 .908 .609 .267 .136 .128 .079 .167 .361 .630 .689 .416 .137 .051 .069 .050 .150 .340 .522 .474 .210 .026 .000 .003 .018 .129 .362 .502 .348 .082 .003 .059 .044 746 13.281 5446 -16.781 8.51097 .012477 .124716 -.003895 Correlation Surface at 846 5446 .022 .019 .047 .128 .250 .193 .080 .028 .004 .056 .075 .120 .219 .298 .188 .100 .065 .006 .065 .145 .252 .425 .534 .312 .172 .132 .050 .039 .100 .276 .613 .882 .618 .308 .200 .152 .023 .027 .196 .644 1.000 .828 .411 .229 .216 .045 .020 .172 .592 .827 .658 .343 .161 .144 .097 .091 .197 .496 .578 .386 .211 .084 .061 .118 .215 .240 .367 .364 .236 .122 .049 .044 .071 .185 .223 .248 .234 .177 .078 .035 .053 r_peak,r_snr = .1957277 8.20005 Correlation Surface of oversamples image at 846 5446 .305 .384 .449 .482 .449 .335 .199 .115 .094 .354 .454 .553 .629 .624 .503 .330 .202 .145 .355 .494 .639 .768 .810 .709 .513 .334 .223 .310 .498 .695 .867 .951 .889 .697 .481 .314 .246 .469 .712 .907 1.000 .964 .800 .582 .387 .190 .424 .699 .897 .962 .912 .774 .589 .409 .152 .376 .660 .852 .875 .781 .646 .507 .372 .138 .331 .596 .776 .766 .630 .487 .384 .301 .146 .294 .513 .675 .652 .497 .352 .272 .226 846 .125 5446 4.000 8.20005 .032142 .103743 -.005052 Correlation Surface at 1046 5446 .007 .007 .023 .007 .012 .046 .138 .007 .003 .026 .027 .047 .156 .228 .185 .061 .010 .012 .006 .011 .240 .419 .530 .281 .029 .016 .011 .003 .019 .231 .579 .805 .356 .049 .020 .006 .076 .057 .020 .514 1.000 .422 .075 .004 .025 .276 .159 .000 .316 .977 .485 .026 .005 .014 .257 .014 .023 .139 .661 .532 .004 .009 .002 .050 .012 .035 .030 .267 .549 .060 .008 .009 .006 .000 .010 .005 .049 .439 .399 .149 .041 r_peak,r_snr = 9.18949E-02 9.59484 Correlation Surface of oversamples image at 1046 5446 .088 .015 .011 .066 .111 .135 .101 .036 .005 .047 .000 .054 .179 .273 .290 .201 .079 .018 .009 .027 .203 .431 .547 .494 .303 .117 .030 .000 .096 .403 .731 .844 .691 .394 .154 .044 .001 .104 .460 .853 1.000 .822 .482 .214 .076 .023 .027 .282 .674 .913 .833 .558 .311 .147 .122 .010 .061 .340 .651 .737 .613 .446 .276 .290 .125 .002 .093 .373 .587 .631 .591 .449 .416 .237 .049 .012 .195 .439 .596 .686 .610 1046 -3.531 5446 -12.438 9.59484 .057833 1.126457 -.153496 Correlation Surface at 1146 5446 .003 .014 .061 .078 .294 .251 .001 .032 .090 .005 .022 .079 .159 .468 .375 .001 .080 .015 .017 .020 .095 .304 .700 .519 .005 .125 .010 .031 .005 .100 .473 .931 .581 .018 .077 .003 .035 .002 .060 .457 1.000 .497 .028 .023 .019 .031 .021 .007 .221 .742 .311 .014 .034 .019 .011 .022 .002 .045 .379 .183 .009 .074 .006 .004 .012 .005 .011 .217 .190 .032 .040 .066 .014 .012 .004 .045 .215 .182 .064 .000 .047 r_peak,r_snr = .1259891 13.09441 Correlation Surface of oversamples image at 1146 5446 .047 .066 .202 .496 .718 .594 .270 .042 .002 .070 .092 .241 .558 .767 .572 .213 .021 .006 .120 .152 .315 .644 .844 .588 .186 .010 .013 .202 .261 .429 .748 .939 .653 .203 .009 .018 .295 .396 .557 .831 1.000 .731 .257 .018 .016 .355 .505 .658 .869 .996 .777 .331 .043 .007 .352 .545 .715 .877 .953 .783 .407 .090 .000 .290 .510 .728 .877 .905 .759 .455 .144 .005 .197 .417 .701 .874 .864 .715 .461 .176 .015 1146 .469 5446 -2.781 13.09442 .020817 .213937 -.001330 Correlation Surface at 1246 5446 .011 .003 .051 .167 .367 .318 .140 .030 .031 .000 .000 .079 .278 .490 .317 .068 .001 .006 .003 .001 .088 .389 .582 .307 .056 .001 .000 .000 .001 .050 .410 .753 .373 .094 .000 .017 .002 .003 .011 .353 1.000 .569 .169 .008 .040 .003 .013 .001 .235 .886 .664 .215 .021 .035 .007 .019 .000 .111 .421 .476 .179 .024 .022 .000 .011 .001 .066 .212 .329 .152 .027 .009 .006 .001 .000 .079 .269 .450 .216 .049 .001 r_peak,r_snr = .1894617 14.23723 Correlation Surface of oversamples image at 1246 5446 .103 .249 .450 .663 .772 .695 .484 .256 .088 .075 .220 .444 .692 .826 .746 .507 .264 .097 .041 .174 .420 .719 .897 .823 .556 .292 .119 .014 .124 .383 .737 .971 .907 .613 .322 .141 .001 .079 .332 .718 1.000 .950 .636 .329 .147 .000 .047 .269 .641 .935 .908 .608 .312 .139 .003 .027 .199 .505 .765 .771 .534 .284 .131 .004 .013 .127 .344 .542 .580 .438 .255 .127 .007 .004 .067 .206 .346 .404 .347 .231 .129 1246 .188 5446 -.031 14.23724 .010763 .083187 -.014104 Correlation Surface at 1346 5446 .054 .130 .303 .562 .811 .715 .507 .302 .150 .064 .180 .402 .591 .743 .632 .470 .311 .231 .062 .206 .494 .713 .768 .568 .414 .304 .287 .046 .178 .466 .743 .895 .578 .347 .293 .287 .027 .134 .398 .669 1.000 .660 .328 .294 .281 .023 .119 .393 .604 .932 .723 .392 .294 .254 .038 .160 .476 .629 .794 .739 .507 .317 .220 .074 .219 .537 .707 .698 .687 .569 .386 .220 .128 .241 .465 .707 .643 .598 .527 .434 .254 r_peak,r_snr = .2923536 4.88311 Correlation Surface of oversamples image at 1346 5446 .436 .576 .752 .857 .793 .613 .443 .347 .318 .407 .547 .753 .909 .864 .659 .452 .330 .296 .408 .540 .760 .955 .937 .723 .488 .339 .286 .436 .553 .762 .974 .991 .792 .543 .368 .290 .480 .576 .752 .951 1.000 .839 .598 .407 .302 .531 .607 .733 .896 .965 .853 .637 .444 .322 .577 .636 .710 .824 .896 .827 .646 .467 .345 .590 .646 .679 .743 .801 .759 .613 .460 .356 .576 .647 .659 .683 .716 .684 .565 .439 .359 1346 .281 5446 -.031 4.88311 .010748 .118299 -.016779 Correlation Surface at 1446 5446 .022 .000 .028 .136 .349 .374 .331 .424 .271 .045 .000 .049 .115 .265 .297 .219 .277 .168 .069 .000 .090 .255 .509 .393 .160 .128 .050 .052 .000 .095 .476 .991 .636 .200 .103 .023 .021 .001 .051 .460 1.000 .602 .203 .134 .040 .014 .001 .017 .267 .593 .312 .130 .135 .061 .024 .000 .011 .152 .392 .200 .096 .127 .061 .040 .000 .015 .105 .314 .238 .130 .135 .076 .044 .000 .016 .061 .191 .238 .191 .180 .148 r_peak,r_snr = .1788093 11.7071 Correlation Surface of oversamples image at 1446 5446 .006 .025 .065 .124 .164 .132 .053 .009 .002 .016 .059 .136 .237 .296 .229 .087 .011 .000 .026 .103 .250 .436 .536 .421 .179 .032 .002 .028 .132 .358 .658 .824 .672 .325 .082 .011 .021 .126 .390 .770 1.000 .848 .450 .141 .028 .012 .094 .334 .702 .946 .831 .470 .168 .043 .007 .063 .241 .526 .725 .646 .375 .146 .044 .005 .041 .155 .343 .474 .415 .238 .096 .035 .003 .027 .099 .218 .294 .244 .132 .055 .023 1446 .063 5446 .656 11.70710 .012847 .056562 .002328 Correlation Surface at 1546 5446 .020 .003 .037 .292 .677 .635 .319 .064 .013 .004 .003 .024 .064 .292 .388 .377 .141 .025 .026 .051 .045 .049 .269 .269 .302 .117 .004 .091 .055 .096 .279 .702 .296 .156 .120 .006 .101 .019 .082 .504 1.000 .250 .083 .259 .160 .073 .019 .040 .321 .606 .087 .055 .340 .407 .034 .029 .026 .177 .359 .044 .028 .146 .160 .014 .009 .058 .322 .480 .126 .040 .056 .011 .015 .000 .124 .590 .602 .212 .116 .116 .025 r_peak,r_snr = .1138399 7.87466 Correlation Surface of oversamples image at 1546 5446 .223 .204 .178 .141 .144 .216 .221 .240 .250 .283 .233 .301 .398 .490 .584 .240 .396 .586 .759 .910 .216 .426 .665 .848 1.000 .182 .378 .580 .694 .787 .174 .309 .429 .450 .464 .201 .270 .313 .267 .222 .260 .276 .270 .188 .118 1546 3.750 5446 .906 7.87466 .017597 .062503 .007960 Correlation Surface at 1646 5446 .091 .114 .127 .415 .862 .471 .129 .007 .012 .127 .149 .140 .393 .665 .213 .042 .000 .015 .141 .206 .201 .401 .559 .152 .014 .001 .025 .129 .188 .189 .447 .758 .375 .055 .001 .032 .119 .125 .112 .427 1.000 .744 .154 .000 .036 .114 .101 .098 .410 .933 .757 .145 .004 .029 .070 .087 .121 .463 .783 .575 .073 .016 .024 .021 .065 .101 .432 .748 .522 .072 .016 .032 .021 .069 .092 .324 .753 .578 .130 .001 .043 r_peak,r_snr = .2059343 7.67179 Correlation Surface of oversamples image at 1646 5446 .871 1.401 2.549 3.801 4.000 2.966 1.782 1.145 .901 .785 1.316 2.548 3.863 3.872 2.582 1.361 .818 .667 .743 1.230 2.404 3.615 3.437 2.045 .924 .509 .447 .737 1.161 2.188 3.201 2.928 1.608 .642 .318 .298 .749 1.100 1.974 2.810 2.577 1.447 .593 .282 .250 1646 -.188 5446 .219 7.67179 .014718 .091830 -.017221 Correlation Surface at 1746 5446 .029 .024 .031 .202 .472 .372 .109 .034 .003 .037 .030 .038 .227 .527 .414 .120 .021 .005 .065 .053 .048 .243 .581 .396 .111 .012 .002 .073 .072 .070 .320 .777 .465 .102 .006 .000 .048 .045 .060 .392 1.000 .621 .109 .002 .003 .025 .010 .024 .327 .853 .589 .099 .001 .000 .019 .002 .010 .217 .527 .383 .065 .001 .003 .021 .006 .014 .173 .387 .275 .041 .000 .006 .024 .033 .041 .156 .353 .287 .047 .001 .004 r_peak,r_snr = .2958007 18.00065 Correlation Surface of oversamples image at 1746 5446 .097 .170 .315 .530 .672 .611 .466 .335 .204 .104 .182 .335 .570 .736 .660 .467 .311 .185 .108 .196 .367 .636 .844 .764 .512 .307 .171 .100 .200 .390 .692 .951 .887 .584 .319 .160 .082 .192 .396 .709 1.000 .972 .649 .336 .151 .059 .175 .379 .671 .955 .965 .671 .346 .145 .039 .150 .338 .578 .808 .840 .617 .331 .138 .028 .129 .292 .467 .619 .648 .504 .291 .126 .025 .121 .262 .383 .465 .475 .388 .243 .112 1746 .219 5446 .094 18.00066 .004038 .024274 -.001041 Correlation Surface at 1846 5446 .011 .002 .058 .299 .477 .462 .377 .209 .074 .001 .000 .028 .221 .452 .461 .372 .181 .045 .012 .003 .012 .208 .618 .524 .251 .104 .020 .031 .016 .010 .233 .937 .642 .145 .049 .008 .022 .025 .030 .254 1.000 .623 .090 .033 .016 .007 .016 .066 .220 .618 .456 .106 .059 .071 .001 .006 .069 .168 .275 .327 .191 .134 .139 .006 .009 .061 .170 .205 .283 .241 .166 .114 .018 .025 .070 .219 .289 .298 .225 .102 .048 r_peak,r_snr = .2364854 12.29851 Correlation Surface of oversamples image at 1846 5446 .108 .233 .394 .539 .619 .634 .578 .477 .367 .110 .250 .453 .650 .729 .667 .526 .391 .296 .117 .278 .535 .791 .862 .711 .483 .319 .235 .125 .306 .614 .921 .975 .741 .444 .261 .188 .135 .322 .649 .972 1.000 .716 .394 .213 .150 .149 .322 .614 .892 .892 .617 .326 .172 .126 .164 .300 .510 .702 .685 .471 .257 .145 .119 .174 .260 .371 .475 .464 .335 .204 .138 .131 .175 .212 .244 .288 .293 .239 .176 .147 .158 1846 .313 5446 -.625 12.29851 .004848 .027746 .001398 Correlation Surface at 1946 5446 .024 .042 .003 .021 .009 .000 .009 .079 .003 .010 .019 .004 .019 .001 .002 .001 .029 .002 .031 .010 .006 .040 .015 .009 .008 .009 .001 .078 .021 .004 .146 .310 .014 .023 .027 .000 .059 .031 .004 .347 1.000 .236 .012 .056 .002 .002 .008 .020 .390 .939 .319 .001 .045 .000 .034 .002 .032 .208 .373 .149 .000 .020 .027 .078 .006 .005 .042 .146 .100 .013 .001 .104 .033 .001 .008 .000 .101 .139 .043 .006 .135 r_peak,r_snr = .1485887 17.79221 Correlation Surface of oversamples image at 1946 5446 .005 .000 .010 .036 .036 .007 .001 .005 .006 .008 .001 .035 .135 .184 .092 .010 .001 .009 .010 .003 .088 .323 .479 .313 .075 .001 .011 .008 .010 .157 .534 .812 .598 .194 .013 .010 .003 .025 .220 .664 1.000 .786 .305 .035 .007 .000 .047 .250 .646 .935 .763 .337 .054 .004 .003 .064 .235 .514 .696 .575 .280 .057 .001 .007 .065 .190 .359 .454 .373 .195 .050 .000 .005 .043 .125 .231 .291 .241 .132 .041 .001 1946 .063 5446 .625 17.79222 .007833 .024002 -.001835 Correlation Surface at 2046 5446 .078 .068 .084 .132 .143 .102 .077 .026 .003 .128 .122 .120 .119 .099 .069 .075 .020 .000 .106 .134 .156 .177 .160 .064 .068 .018 .000 .036 .092 .169 .334 .592 .262 .114 .038 .001 .010 .049 .130 .386 1.000 .607 .167 .047 .001 .012 .026 .075 .267 .623 .455 .126 .024 .000 .017 .024 .062 .219 .258 .154 .055 .004 .005 .014 .034 .089 .259 .218 .079 .027 .000 .007 .019 .042 .104 .214 .207 .063 .024 .000 .001 r_peak,r_snr = .22772 22.03982 Correlation Surface of oversamples image at 2046 5446 .088 .103 .117 .121 .112 .104 .094 .073 .040 .109 .160 .233 .275 .243 .178 .126 .088 .051 .131 .235 .415 .555 .506 .337 .198 .122 .073 .142 .291 .581 .849 .818 .541 .290 .159 .091 .136 .295 .630 .980 1.000 .681 .354 .175 .090 .120 .254 .548 .883 .946 .674 .350 .158 .070 .104 .203 .408 .649 .714 .530 .278 .114 .040 .099 .174 .299 .433 .465 .348 .181 .066 .016 .110 .178 .253 .309 .298 .212 .106 .033 .004 2046 .281 5446 .094 22.03983 .006859 .011259 -.001558 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .003 .040 .103 .230 .486 .526 .402 .335 .206 .000 .040 .092 .184 .419 .468 .285 .199 .146 .001 .027 .082 .171 .409 .396 .184 .092 .077 .012 .023 .110 .298 .703 .547 .199 .082 .059 .042 .046 .150 .464 1.000 .769 .318 .146 .079 .068 .095 .153 .406 .801 .645 .367 .212 .085 .065 .124 .157 .273 .529 .463 .342 .251 .072 .046 .108 .178 .227 .475 .468 .360 .299 .082 .039 .087 .165 .193 .427 .452 .325 .291 .122 r_peak,r_snr = .262539 7.89699 Correlation Surface of oversamples image at 146 5846 .081 .118 .219 .338 .359 .266 .150 .079 .051 .102 .159 .297 .453 .459 .307 .149 .063 .033 .149 .241 .441 .662 .658 .428 .203 .082 .041 .209 .345 .606 .887 .883 .590 .301 .140 .075 .252 .421 .705 .999 1.000 .698 .398 .221 .135 .256 .424 .682 .933 .937 .684 .439 .291 .204 .223 .359 .561 .747 .753 .576 .412 .323 .257 .183 .276 .422 .558 .571 .459 .357 .317 .285 .159 .217 .329 .441 .467 .393 .320 .304 .298 146 .250 5846 .063 7.89699 .008040 .018766 .000427 Correlation Surface at 246 5846 .041 .038 .144 .193 .015 .015 .070 .071 .033 .019 .027 .110 .377 .077 .028 .070 .039 .042 .013 .028 .114 .553 .386 .000 .049 .010 .004 .044 .053 .154 .614 .931 .169 .010 .004 .011 .097 .101 .118 .348 1.000 .481 .013 .004 .018 .084 .133 .089 .110 .519 .424 .095 .002 .005 .025 .089 .158 .116 .267 .251 .128 .036 .004 .000 .008 .194 .294 .289 .229 .093 .034 .019 .011 .014 .082 .312 .290 .239 .087 .020 .066 r_peak,r_snr = .1651487 18.6317 Correlation Surface of oversamples image at 246 5846 .127 .214 .326 .378 .267 .082 .000 .033 .067 .155 .260 .408 .528 .456 .213 .028 .008 .046 .200 .326 .499 .688 .706 .456 .148 .007 .013 .240 .371 .548 .785 .932 .770 .392 .093 .001 .243 .353 .504 .746 1.000 1.000 .663 .259 .042 .201 .271 .374 .572 .849 .989 .784 .400 .119 .142 .177 .229 .355 .575 .758 .691 .426 .183 .096 .115 .133 .195 .329 .477 .486 .349 .198 .073 .095 .101 .126 .194 .288 .316 .256 .178 246 -.188 5846 .625 18.63170 .014490 .053325 -.016725 Correlation Surface at 346 5846 .001 .111 .032 .256 .735 .214 .073 .079 .007 .209 .016 .018 .304 .953 .355 .057 .004 .000 .261 .002 .009 .216 .819 .403 .037 .018 .011 .074 .006 .005 .182 .803 .484 .033 .006 .000 .003 .004 .031 .139 1.000 .809 .097 .020 .056 .001 .026 .051 .055 .907 .920 .132 .055 .119 .040 .000 .005 .013 .376 .356 .019 .005 .084 .107 .049 .020 .029 .096 .027 .010 .008 .026 .040 .048 .063 .110 .099 .004 .003 .003 .004 r_peak,r_snr = .128775 12.8298 Correlation Surface of oversamples image at 346 5846 .114 .325 .548 .646 .614 .472 .266 .081 .003 .137 .367 .606 .722 .714 .574 .329 .118 .019 .121 .368 .655 .824 .855 .723 .440 .188 .064 .074 .310 .650 .891 .973 .863 .565 .271 .123 .032 .227 .585 .881 1.000 .911 .628 .320 .158 .011 .148 .468 .762 .871 .781 .543 .281 .139 .006 .096 .337 .563 .613 .503 .327 .165 .081 .011 .078 .236 .361 .341 .224 .117 .053 .028 .034 .090 .182 .216 .149 .058 .014 .003 .004 346 .531 5846 2.375 12.82981 .026452 .346140 -.063300 Correlation Surface at 446 5846 .016 .048 .209 .348 .563 .367 .071 .008 .088 .053 .138 .274 .381 .599 .498 .178 .058 .081 .015 .108 .295 .491 .690 .547 .124 .032 .027 .005 .028 .213 .631 .919 .465 .015 .001 .000 .030 .001 .138 .647 1.000 .370 .001 .030 .005 .033 .004 .112 .547 .706 .260 .000 .019 .010 .026 .006 .140 .535 .450 .131 .014 .000 .002 .024 .000 .157 .526 .443 .087 .034 .017 .001 .020 .007 .107 .347 .469 .130 .024 .007 .000 r_peak,r_snr = .1535674 8.75033 Correlation Surface of oversamples image at 446 5846 .207 .360 .502 .609 .683 .634 .412 .181 .052 .145 .323 .536 .697 .751 .639 .368 .122 .015 .089 .275 .561 .804 .854 .669 .337 .078 .001 .057 .243 .583 .901 .959 .718 .330 .058 .001 .048 .234 .594 .939 1.000 .745 .338 .057 .002 .053 .245 .587 .894 .937 .708 .342 .072 .000 .071 .277 .579 .800 .792 .601 .320 .094 .005 .105 .330 .593 .719 .639 .465 .269 .108 .022 .147 .382 .622 .681 .534 .350 .207 .106 .042 446 -.156 5846 9.969 8.75033 .015752 .106949 .006894 Correlation Surface at 546 5846 .182 .027 .014 .100 .017 .003 .003 .003 .013 .074 .046 .018 .065 .010 .002 .000 .002 .000 .033 .069 .091 .220 .169 .053 .043 .047 .008 .054 .113 .237 .587 .717 .274 .115 .121 .052 .108 .136 .261 .682 1.000 .324 .079 .073 .094 .143 .112 .173 .475 .712 .214 .012 .007 .074 .161 .106 .145 .367 .458 .163 .004 .001 .023 .132 .093 .162 .427 .446 .174 .013 .008 .003 .073 .066 .165 .551 .592 .225 .018 .006 .000 r_peak,r_snr = .1581695 12.84232 Correlation Surface of oversamples image at 546 5846 .018 .038 .087 .123 .087 .026 .002 .000 .001 .037 .072 .160 .252 .233 .125 .044 .016 .015 .074 .130 .269 .455 .496 .344 .171 .077 .049 .114 .191 .377 .664 .803 .630 .352 .166 .090 .127 .214 .419 .765 1.000 .848 .497 .232 .110 .101 .179 .367 .701 .987 .896 .540 .242 .100 .063 .119 .266 .533 .805 .788 .488 .210 .075 .038 .071 .175 .365 .579 .608 .392 .164 .051 .032 .051 .126 .262 .414 .455 .305 .127 .037 546 -.406 5846 -.250 12.84232 .013754 .044447 -.000403 Correlation Surface at 646 5846 .167 .227 .260 .421 .479 .229 .062 .067 .008 .158 .201 .165 .285 .404 .138 .016 .018 .000 .122 .159 .157 .319 .580 .122 .002 .003 .012 .130 .136 .188 .422 .964 .259 .001 .023 .041 .193 .168 .246 .451 1.000 .462 .050 .000 .023 .199 .184 .280 .464 .673 .496 .230 .035 .000 .125 .157 .311 .507 .425 .316 .247 .056 .008 .076 .114 .365 .504 .289 .139 .142 .051 .020 .073 .068 .296 .427 .197 .091 .093 .035 .022 r_peak,r_snr = .162691 9.77878 Correlation Surface of oversamples image at 646 5846 .187 .174 .264 .429 .448 .244 .053 .001 .001 .178 .169 .281 .513 .577 .328 .073 .001 .004 .189 .186 .317 .620 .757 .478 .128 .005 .003 .218 .222 .358 .708 .928 .664 .232 .032 .001 .254 .271 .391 .730 1.000 .802 .361 .106 .031 .273 .317 .420 .698 .948 .827 .470 .228 .133 .267 .356 .460 .662 .832 .758 .532 .374 .307 .237 .370 .499 .637 .701 .629 .522 .478 .471 .208 .362 .524 .624 .586 .479 .433 .470 .511 646 .063 5846 .531 9.77878 .012141 .097907 -.007726 Correlation Surface at 746 5846 .206 .055 .025 .042 .034 .034 .173 .198 .068 .200 .044 .036 .164 .161 .029 .058 .120 .031 .269 .123 .121 .361 .545 .138 .025 .092 .088 .305 .299 .256 .463 .950 .480 .068 .132 .312 .225 .351 .317 .427 1.000 .744 .201 .172 .464 .143 .286 .268 .303 .694 .607 .252 .137 .255 .075 .163 .136 .112 .347 .359 .212 .108 .119 .027 .096 .127 .053 .145 .240 .249 .164 .218 .031 .104 .313 .182 .105 .118 .291 .328 .483 r_peak,r_snr = .1209151 7.39095 Correlation Surface of oversamples image at 746 5846 .072 .171 .326 .424 .341 .182 .085 .056 .067 .145 .286 .505 .678 .612 .374 .167 .072 .049 .234 .383 .618 .854 .855 .583 .267 .094 .042 .301 .411 .614 .888 .987 .735 .353 .121 .045 .322 .373 .523 .810 1.000 .802 .413 .157 .061 .309 .317 .419 .689 .935 .807 .451 .195 .083 .276 .265 .334 .568 .831 .768 .459 .217 .096 .226 .209 .259 .459 .710 .693 .434 .215 .097 .172 .150 .189 .362 .589 .596 .388 .204 .098 746 1.969 5846 8.281 7.39095 .039267 .208165 -.031226 Correlation Surface at 846 5846 .174 .021 .009 .169 .406 .343 .073 .008 .012 .154 .031 .012 .228 .506 .476 .162 .006 .021 .040 .005 .027 .364 .617 .437 .213 .025 .019 .000 .014 .010 .455 .868 .480 .285 .033 .016 .000 .009 .000 .319 1.000 .742 .416 .099 .001 .065 .020 .001 .173 .769 .930 .537 .191 .065 .127 .087 .037 .134 .396 .716 .498 .110 .056 .083 .125 .122 .152 .197 .376 .290 .008 .003 .052 .271 .286 .211 .192 .203 .101 .001 .001 r_peak,r_snr = .1237764 10.14765 Correlation Surface of oversamples image at 846 5846 .444 .798 .877 .696 .473 .355 .291 .200 .107 .334 .712 .905 .839 .642 .488 .389 .272 .155 .222 .571 .851 .939 .833 .663 .503 .339 .196 .141 .425 .723 .936 .965 .829 .609 .381 .208 .105 .316 .575 .841 1.000 .943 .685 .383 .175 .099 .247 .435 .680 .916 .953 .686 .326 .106 .105 .200 .313 .489 .726 .822 .580 .216 .032 .117 .171 .228 .331 .508 .606 .410 .108 .001 .155 .182 .206 .258 .363 .426 .273 .051 .004 846 .188 5846 -.375 10.14766 .045993 .269290 -.077430 Correlation Surface at 946 5846 .030 .012 .001 .021 .083 .212 .257 .232 .119 .014 .001 .010 .030 .109 .222 .260 .250 .085 .001 .022 .074 .133 .340 .431 .351 .267 .058 .016 .035 .133 .382 .789 .732 .481 .290 .035 .012 .010 .056 .392 1.000 .898 .664 .372 .033 .006 .000 .000 .164 .722 .825 .850 .525 .079 .005 .005 .004 .077 .397 .607 .816 .548 .144 .013 .000 .006 .137 .300 .445 .583 .357 .105 .012 .020 .085 .275 .422 .474 .446 .181 .017 r_peak,r_snr = .1673589 8.83944 Correlation Surface of oversamples image at 946 5846 .054 .111 .210 .331 .399 .364 .306 .289 .265 .117 .235 .402 .564 .616 .504 .366 .304 .264 .167 .352 .591 .787 .830 .664 .458 .354 .294 .166 .394 .692 .921 .972 .801 .570 .441 .362 .117 .333 .656 .918 1.000 .875 .674 .551 .466 .059 .220 .515 .792 .917 .863 .732 .650 .582 .022 .121 .344 .604 .764 .778 .721 .696 .663 .009 .066 .215 .426 .597 .661 .656 .671 .671 .008 .050 .148 .302 .457 .547 .570 .592 .600 946 -.594 5846 -11.188 8.83944 .025111 .058612 -.013539 Correlation Surface at 1046 5846 .024 .137 .364 .497 .402 .132 .065 .095 .212 .025 .131 .279 .418 .325 .070 .018 .057 .167 .027 .118 .259 .410 .372 .096 .026 .092 .145 .040 .111 .277 .538 .737 .371 .124 .172 .177 .067 .100 .208 .568 1.000 .660 .180 .107 .162 .047 .088 .120 .381 .658 .412 .075 .011 .072 .003 .055 .092 .219 .307 .152 .014 .000 .013 .008 .022 .120 .211 .263 .147 .024 .004 .003 .015 .028 .215 .301 .300 .186 .078 .024 .011 r_peak,r_snr = .1537488 9.42193 Correlation Surface of oversamples image at 1046 5846 .111 .191 .294 .315 .219 .100 .036 .020 .031 .141 .257 .424 .498 .375 .179 .063 .031 .049 .151 .313 .567 .737 .626 .340 .132 .058 .069 .130 .324 .654 .930 .882 .545 .232 .092 .075 .090 .281 .633 .970 1.000 .686 .318 .114 .062 .053 .208 .512 .829 .908 .678 .342 .118 .043 .027 .131 .342 .569 .650 .522 .289 .102 .027 .014 .074 .196 .323 .378 .324 .202 .079 .019 .011 .048 .116 .180 .207 .191 .140 .071 .024 1046 .281 5846 -.031 9.42193 .026584 .043052 -.005924 Correlation Surface at 1146 5846 .015 .091 .120 .285 .410 .326 .214 .211 .151 .001 .013 .072 .242 .462 .353 .156 .204 .192 .000 .001 .037 .204 .438 .332 .104 .109 .155 .027 .011 .036 .261 .640 .404 .128 .059 .070 .092 .068 .060 .336 1.000 .657 .235 .091 .038 .069 .152 .111 .303 .911 .787 .275 .132 .032 .010 .121 .125 .217 .477 .567 .199 .115 .041 r_peak,r_snr = .1544382 9.07628 Correlation Surface of oversamples image at 1146 5846 .062 .174 .350 .445 .350 .180 .069 .040 .061 .104 .244 .459 .577 .463 .258 .116 .063 .058 .157 .335 .602 .773 .661 .415 .223 .128 .087 .199 .407 .714 .950 .881 .607 .367 .229 .149 .218 .425 .729 1.000 1.000 .744 .480 .323 .227 .210 .375 .615 .859 .913 .722 .486 .344 .269 .192 .301 .446 .612 .677 .559 .387 .284 .246 .182 .254 .323 .405 .444 .374 .263 .199 .191 .174 .242 .277 .304 .308 .253 .176 .136 .141 1146 .250 5846 12.469 9.07628 .015157 .074641 -.008617 Correlation Surface at 1246 5846 .004 .012 .002 .052 .365 .335 .147 .061 .038 .001 .005 .011 .055 .181 .169 .120 .065 .031 .008 .011 .066 .149 .213 .130 .080 .040 .011 .000 .026 .137 .381 .558 .250 .070 .005 .001 .007 .025 .125 .538 1.000 .458 .082 .009 .033 .002 .009 .060 .412 .985 .520 .092 .032 .095 .002 .001 .009 .210 .695 .382 .063 .014 .110 .000 .001 .002 .118 .487 .274 .049 .000 .073 .013 .010 .004 .125 .409 .293 .070 .007 .034 r_peak,r_snr = .1504288 14.07633 Correlation Surface of oversamples image at 1246 5846 .259 .312 .331 .359 .385 .353 .229 .098 .032 .311 .397 .452 .517 .565 .512 .319 .119 .025 .303 .432 .558 .699 .787 .716 .451 .166 .027 .241 .393 .597 .828 .962 .890 .586 .229 .035 .154 .297 .544 .837 1.000 .945 .665 .287 .048 .079 .186 .423 .726 .889 .859 .649 .315 .062 .032 .100 .296 .574 .719 .700 .555 .303 .075 .012 .053 .204 .448 .573 .545 .435 .263 .086 .005 .033 .154 .365 .471 .427 .326 .212 .092 1246 .125 5846 .375 14.07634 .016717 .070173 -.008007 Correlation Surface at 1346 5846 .029 .125 .268 .484 .802 .655 .482 .410 .281 .033 .121 .249 .435 .761 .625 .420 .354 .207 .046 .105 .205 .401 .714 .667 .395 .290 .133 .053 .081 .163 .465 .852 .843 .494 .301 .115 .059 .070 .141 .532 1.000 .964 .596 .340 .143 .060 .078 .131 .481 .949 .925 .600 .326 .170 .037 .089 .146 .403 .796 .845 .600 .301 .166 .019 .092 .201 .416 .683 .759 .617 .341 .168 .025 .107 .266 .454 .611 .644 .562 .365 .185 r_peak,r_snr = .2970092 5.99398 Correlation Surface of oversamples image at 1346 5846 .347 .352 .445 .605 .709 .646 .484 .346 .278 .301 .341 .468 .652 .767 .712 .550 .398 .308 .255 .334 .512 .738 .870 .815 .642 .468 .353 .213 .323 .550 .821 .966 .907 .724 .530 .396 .179 .297 .549 .847 1.000 .943 .765 .566 .423 .157 .261 .503 .795 .949 .909 .759 .579 .433 .145 .221 .425 .683 .829 .815 .713 .572 .431 .147 .195 .350 .556 .685 .694 .647 .555 .427 .168 .194 .303 .453 .554 .577 .571 .531 .428 1346 .094 5846 3.938 5.99398 .012297 .076540 -.002693 Correlation Surface at 1446 5846 .298 .274 .335 .459 .587 .621 .514 .398 .356 .308 .283 .348 .492 .704 .714 .569 .421 .344 .297 .255 .382 .544 .748 .767 .618 .458 .334 .277 .243 .444 .683 .843 .741 .581 .490 .373 .282 .294 .522 .839 1.000 .723 .527 .509 .474 .362 .397 .599 .878 .981 .702 .505 .514 .547 .475 .465 .634 .823 .817 .625 .491 .514 .518 .493 .474 .608 .771 .738 .554 .449 .491 .447 .425 .501 .606 .738 .752 .581 .431 .456 .396 r_peak,r_snr = .3290967 2.7123 Correlation Surface of oversamples image at 1446 5846 .399 .560 .699 .796 .841 .832 .784 .697 .570 .426 .599 .749 .853 .895 .862 .783 .687 .575 .472 .648 .799 .909 .956 .903 .784 .666 .563 .529 .699 .838 .946 .999 .936 .783 .640 .539 .585 .740 .858 .949 1.000 .939 .772 .612 .512 .623 .762 .854 .919 .956 .900 .740 .580 .485 .633 .762 .835 .870 .884 .830 .688 .543 .461 .614 .743 .810 .823 .813 .751 .626 .502 .437 .578 .710 .779 .784 .756 .681 .562 .456 .406 1446 .031 5846 .250 2.71230 .016151 .079778 .014902 Correlation Surface at 1546 5846 .008 .057 .068 .005 .067 .096 .076 .079 .051 .023 .073 .024 .014 .181 .183 .065 .021 .001 .031 .110 .030 .083 .456 .315 .100 .006 .000 .005 .052 .042 .093 .838 .617 .220 .035 .011 .004 .000 .002 .119 1.000 .928 .422 .159 .071 .017 .008 .019 .207 .895 .862 .485 .258 .102 .046 .016 .029 .210 .657 .506 .241 .100 .020 .075 .046 .031 .128 .447 .239 .040 .000 .014 .035 .052 .032 .067 .308 .135 .007 .006 .039 r_peak,r_snr = .1384457 11.14039 Correlation Surface of oversamples image at 1546 5846 .009 .085 .249 .429 .486 .380 .203 .060 .005 .001 .062 .261 .512 .617 .538 .349 .153 .040 .000 .060 .289 .610 .772 .727 .539 .302 .132 .007 .089 .348 .712 .919 .899 .716 .464 .261 .035 .154 .431 .790 1.000 .980 .794 .551 .354 .076 .228 .499 .807 .971 .922 .724 .497 .332 .100 .268 .510 .744 .840 .750 .540 .335 .206 .094 .256 .463 .627 .661 .541 .337 .166 .074 .070 .201 .368 .479 .471 .345 .175 .056 .007 1546 .688 5846 .594 11.14039 .014250 .267296 .000790 Correlation Surface at 1646 5846 .002 .010 .100 .395 .686 .581 .381 .117 .001 .003 .018 .132 .397 .604 .488 .284 .091 .000 .002 .017 .160 .476 .656 .503 .220 .063 .000 .001 .010 .142 .543 .869 .677 .255 .064 .002 .004 .012 .113 .502 1.000 .795 .311 .090 .013 .005 .019 .114 .477 .963 .681 .261 .101 .026 .001 .018 .134 .486 .880 .550 .200 .102 .039 .002 .020 .148 .459 .767 .504 .226 .126 .051 .014 .042 .166 .414 .627 .437 .256 .142 .038 r_peak,r_snr = .2706217 8.22265 Correlation Surface of oversamples image at 1646 5846 .408 .543 .642 .704 .723 .678 .568 .430 .310 .399 .554 .684 .778 .813 .773 .657 .501 .351 .366 .529 .697 .842 .915 .881 .759 .589 .416 .332 .487 .676 .870 .984 .957 .823 .649 .474 .317 .454 .646 .863 1.000 .969 .817 .647 .492 .323 .442 .624 .839 .972 .923 .751 .584 .461 .342 .448 .615 .812 .923 .848 .658 .496 .398 .367 .465 .620 .794 .876 .782 .584 .425 .341 .390 .485 .628 .780 .842 .743 .552 .399 .317 1646 .156 5846 -.094 8.22265 .009002 .135795 -.004943 Correlation Surface at 1746 5846 .147 .107 .029 .026 .054 .023 .007 .000 .076 .074 .071 .021 .048 .045 .002 .013 .001 .076 .030 .025 .010 .131 .123 .003 .006 .003 .054 .022 .009 .006 .303 .512 .106 .002 .007 .025 .021 .009 .004 .406 1.000 .401 .028 .010 .021 .013 .006 .001 .271 .799 .408 .035 .004 .023 .003 .000 .002 .108 .399 .212 .019 .000 .010 .000 .004 .006 .040 .224 .145 .022 .004 .005 .001 .002 .000 .019 .127 .127 .039 .027 .033 r_peak,r_snr = .2106879 20.46073 Correlation Surface of oversamples image at 1746 5846 .015 .069 .191 .286 .232 .080 .002 .014 .036 .012 .091 .287 .464 .419 .182 .021 .003 .020 .009 .110 .386 .678 .692 .384 .097 .004 .003 .007 .117 .446 .833 .937 .629 .239 .045 .002 .006 .106 .433 .837 1.000 .761 .364 .105 .014 .005 .086 .362 .703 .854 .698 .382 .133 .021 .005 .062 .269 .517 .609 .504 .294 .109 .015 .003 .039 .187 .362 .406 .323 .187 .068 .006 .001 .022 .130 .267 .292 .222 .125 .043 .003 1746 -.063 5846 -.125 20.46074 .006128 .016808 -.002699 Correlation Surface at 1846 5846 .138 .072 .007 .038 .228 .162 .065 .138 .149 .098 .034 .000 .014 .132 .109 .102 .180 .179 .077 .016 .001 .060 .241 .116 .097 .164 .142 .064 .018 .014 .204 .687 .255 .054 .093 .111 .053 .026 .019 .235 1.000 .418 .019 .030 .107 .050 .036 .022 .151 .747 .409 .011 .006 .089 .060 .040 .029 .120 .461 .347 .036 .009 .064 .075 .041 .023 .112 .380 .354 .114 .042 .057 .107 .064 .019 .085 .361 .362 .179 .105 .065 r_peak,r_snr = .208687 8.38915 Correlation Surface of oversamples image at 1846 5846 .002 .013 .064 .169 .255 .220 .139 .109 .136 .010 .043 .149 .335 .458 .364 .191 .106 .107 .020 .072 .242 .540 .730 .567 .267 .105 .073 .024 .080 .286 .678 .947 .745 .334 .101 .045 .021 .065 .262 .682 1.000 .813 .364 .094 .027 .014 .043 .199 .569 .884 .756 .356 .091 .020 .009 .027 .135 .415 .682 .626 .325 .092 .021 .008 .021 .097 .297 .508 .508 .305 .110 .034 .008 .020 .081 .229 .400 .441 .315 .152 .064 1846 .063 5846 -.094 8.38915 .004576 .025130 -.001802 Correlation Surface at 1946 5846 .021 .004 .014 .108 .162 .046 .003 .024 .024 .012 .002 .014 .123 .180 .052 .006 .014 .025 .017 .002 .022 .187 .322 .135 .013 .017 .023 .036 .008 .027 .292 .750 .407 .035 .018 .023 .040 .021 .028 .317 1.000 .596 .039 .023 .026 .020 .017 .025 .207 .615 .363 .015 .029 .029 .016 .003 .017 .101 .220 .085 .000 .025 .021 .053 .003 .014 .066 .093 .005 .020 .021 .005 .143 .034 .022 .068 .103 .001 .047 .033 .000 r_peak,r_snr = .2239985 20.40299 Correlation Surface of oversamples image at 1946 5846 .020 .081 .190 .295 .320 .247 .136 .048 .006 .023 .100 .254 .437 .525 .439 .252 .094 .015 .025 .114 .315 .597 .781 .691 .404 .151 .027 .025 .115 .342 .698 .976 .898 .525 .190 .033 .023 .104 .322 .686 1.000 .947 .553 .189 .028 .020 .085 .265 .567 .836 .807 .471 .150 .016 .016 .062 .189 .394 .570 .551 .317 .090 .004 .010 .040 .118 .237 .326 .304 .164 .035 .000 .005 .023 .070 .133 .168 .141 .063 .005 .007 1946 .188 5846 -.156 20.40300 .005864 .016815 -.000438 Correlation Surface at 2046 5846 .069 .009 .007 .000 .000 .000 .013 .020 .027 .074 .001 .005 .001 .001 .000 .001 .004 .042 .084 .000 .007 .026 .075 .009 .000 .000 .051 .088 .009 .002 .133 .505 .134 .002 .022 .061 .068 .063 .000 .256 1.000 .401 .000 .061 .080 .021 .078 .006 .180 .691 .417 .023 .039 .092 .001 .023 .012 .050 .213 .185 .039 .007 .084 .005 .000 .003 .018 .097 .068 .020 .000 .049 .021 .001 .000 .019 .104 .044 .007 .003 .024 r_peak,r_snr = .1902229 17.45688 Correlation Surface of oversamples image at 2046 5846 .059 .046 .055 .081 .079 .028 .000 .013 .015 .046 .059 .111 .209 .249 .134 .015 .005 .019 .026 .070 .193 .413 .537 .349 .077 .000 .017 .009 .074 .272 .620 .842 .610 .189 .009 .009 .001 .067 .306 .724 1.000 .774 .302 .040 .001 .001 .048 .274 .670 .935 .761 .359 .088 .004 .004 .027 .194 .498 .709 .609 .344 .131 .025 .005 .012 .114 .313 .461 .424 .283 .150 .051 .001 .005 .063 .188 .293 .288 .219 .143 .064 2046 .031 5846 .094 17.45689 .005508 .015316 -.001338 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2169357 13.89638 146 -.094 3046 .219 13.89638 .004779 .032661 -.002714 r_peak,r_snr = .2321356 9.02864 246 -.063 3046 .500 9.02864 .005597 .032611 .001682 r_peak,r_snr = .3148541 16.56725 346 -.125 3046 .063 16.56726 .003794 .018582 -.000332 r_peak,r_snr = .2972968 4.57727 446 .250 3046 -.031 4.57727 .004923 .047265 -.002480 r_peak,r_snr = .2843019 25.8482 546 .063 3046 -.219 25.84821 .002971 .016438 -.000439 r_peak,r_snr = .2979423 21.59366 646 .000 3046 -.219 21.59366 .002701 .016831 -.000474 r_peak,r_snr = .1335841 15.61665 746 .375 3046 -.031 15.61666 .012862 .028029 -.001209 r_peak,r_snr = .2380242 22.76192 846 -.125 3046 .000 22.76193 .003477 .023685 -.000038 r_peak,r_snr = .2070415 10.32795 946 .094 3046 .281 10.32795 .009149 .067836 -.010404 r_peak,r_snr = .1181517 7.55839 1046 -.188 3046 -.063 7.55839 .016693 .202104 .013393 r_peak,r_snr = .1164054 10.39526 1146 .344 3046 -.031 10.39526 .061412 .067906 .012043 r_peak,r_snr = .2201948 14.34363 1246 .375 3046 .531 14.34364 .007530 .050108 -.004300 r_peak,r_snr = .3356954 6.91352 1346 .063 3046 7.156 6.91352 .006811 .163624 -.006994 r_peak,r_snr = .2204216 10.56004 1446 .156 3046 -1.000 10.56005 .006395 .039318 .000262 r_peak,r_snr = .2471358 6.12878 1546 .375 3046 .000 6.12878 .013869 .126450 .000145 r_peak,r_snr = .2028452 7.56692 1646 -.063 3046 .344 7.56692 .016347 .129028 -.026913 r_peak,r_snr = .1886832 10.89199 1846 .281 3046 .188 10.89199 .014272 .062213 .001297 r_peak,r_snr = 9.34138E-02 9.80281 2046 -10.188 3046 2.188 9.80281 .037406 .154591 -.036016 At line = 3400 Reading in data.... r_peak,r_snr = .2662233 21.25307 146 .188 3446 .031 21.25307 .003514 .010045 -.002059 r_peak,r_snr = .2289759 15.47982 246 -.188 3446 -.750 15.47983 .006747 .030726 -.003735 r_peak,r_snr = .1353143 8.36259 346 -.344 3446 .281 8.36259 .011776 .381177 .018060 r_peak,r_snr = .279985 9.38562 446 .063 3446 .125 9.38562 .003593 .021054 .000597 r_peak,r_snr = .195001 16.41635 546 .125 3446 -.313 16.41635 .004475 .014888 -.000781 r_peak,r_snr = .2035914 16.62906 646 .125 3446 -.781 16.62906 .004311 .044223 -.000351 r_peak,r_snr = .1034134 11.56892 746 -.188 3446 -1.125 11.56893 .017743 .442605 .040792 r_peak,r_snr = .1914775 8.18728 846 .031 3446 1.250 8.18728 .014964 .038914 .002893 r_peak,r_snr = .2296204 17.6687 946 .156 3446 -.063 17.66871 .003836 .032604 -.001370 r_peak,r_snr = 8.74816E-02 8.50699 1046 .063 3446 .656 8.50699 .020893 .104058 -.013625 r_peak,r_snr = 7.13870E-02 8.19386 1146 16.656 3446 12.031 8.19386 .119974 .302270 .133708 r_peak,r_snr = .465263 2.37738 1246 -.250 3446 10.844 2.37738 .011053 .221207 .000764 r_peak,r_snr = .5148405 6.38984 1346 -.188 3446 .031 6.38984 .002067 .035221 -.000965 r_peak,r_snr = .1002215 5.21932 1446 .875 3446 1.094 5.21932 .125174 .115278 -.038983 r_peak,r_snr = .1977229 10.96273 1546 -.094 3446 .188 10.96274 .005232 .093143 -.004899 r_peak,r_snr = .217023 8.36189 1646 -.313 3446 -12.781 8.36189 .015401 .180437 -.030854 r_peak,r_snr = .1479687 12.76494 1746 .063 3446 -1.063 12.76495 .013215 .128652 -.004518 r_peak,r_snr = .3187201 7.01852 1846 .094 3446 8.813 7.01852 .009897 .957961 -.067853 r_peak,r_snr = .5164234 2.61423 1946 .031 3446 -.063 2.61423 .007272 .155799 -.014927 r_peak,r_snr = 9.96057E-02 15.23964 2046 4.156 3446 7.156 15.23965 .019075 .084882 .005445 At line = 3800 Reading in data.... r_peak,r_snr = .207408 22.15863 146 .031 3846 -.313 22.15863 .004981 .048056 -.006222 r_peak,r_snr = .2965367 12.44017 246 .156 3846 .031 12.44018 .005450 .021582 -.001230 r_peak,r_snr = .1675561 11.64022 346 -.250 3846 -.406 11.64022 .009850 .051820 -.003245 r_peak,r_snr = .2512956 5.7137 446 -.188 3846 -.625 5.71370 .005232 .894555 .018751 r_peak,r_snr = .2470751 26.95196 546 .031 3846 -.469 26.95197 .003201 .025845 -.002392 r_peak,r_snr = .1524854 17.72764 646 .156 3846 -.719 17.72765 .010998 .064429 -.008276 r_peak,r_snr = .1070839 5.33505 746 -1.156 3846 12.125 5.33505 .152950 .458389 .063554 r_peak,r_snr = 8.78379E-02 12.23684 846 .281 3846 .250 12.23685 .019832 .094953 -.024531 r_peak,r_snr = .1908718 16.33437 946 .063 3846 .188 16.33437 .006334 .035027 -.001452 r_peak,r_snr = 7.32925E-02 3.55298 1046 4.000 3846 1.563 3.55298 .018020 .434468 .042995 r_peak,r_snr = .5293618 1.71211 1246 -1.031 3846 -11.250 1.71211 .012229 .044757 -.009102 r_peak,r_snr = .401403 3.50282 1346 .063 3846 -4.000 3.50282 .006883 .136847 .000125 r_peak,r_snr = .3375854 6.54189 1446 -.188 3846 -.813 6.54189 .007050 .071063 -.008963 r_peak,r_snr = .1832668 8.01044 1546 .375 3846 -.438 8.01044 .016035 .126407 -.017262 r_peak,r_snr = .2324722 7.77932 1646 -.031 3846 .719 7.77932 .009482 .197660 .017880 r_peak,r_snr = .1850202 17.44541 1746 .031 3846 .281 17.44541 .006499 .128435 -.007806 r_peak,r_snr = .1598485 15.74918 1846 .063 3846 -.156 15.74918 .006145 .109217 -.006282 r_peak,r_snr = .1471241 9.81128 1946 -.188 3846 9.531 9.81128 .012049 .077785 -.000382 r_peak,r_snr = .6520881 4.06987 2046 -.156 3846 3.750 4.06987 .001501 .087752 -.000926 At line = 4200 Reading in data.... r_peak,r_snr = .2174187 13.45694 146 .063 4246 .656 13.45695 .009399 .047248 -.007054 r_peak,r_snr = .210656 12.49215 246 -.031 4246 .469 12.49216 .005075 .020273 -.001973 r_peak,r_snr = .1425439 11.94246 346 -.375 4246 .438 11.94246 .011021 .174889 .016798 r_peak,r_snr = .1423306 9.73107 446 .063 4246 -.031 9.73107 .010115 .035733 -.000790 r_peak,r_snr = .2208666 10.45193 546 -.156 4246 -.469 10.45194 .004627 .034457 -.001300 r_peak,r_snr = .1965926 20.76796 646 -.031 4246 -.313 20.76797 .005638 .049391 .004348 r_peak,r_snr = .119304 20.32248 746 -.156 4246 -.313 20.32249 .012534 .069631 .000102 r_peak,r_snr = .1118452 14.83733 846 .094 4246 -.594 14.83734 .013679 .097334 -.010964 r_peak,r_snr = .1126432 7.75934 946 -.094 4246 .219 7.75934 .008418 .065538 -.003907 r_peak,r_snr = .1042744 5.12516 1046 -.875 4246 -17.781 5.12516 .089171 .542542 .148592 r_peak,r_snr = .1883645 15.08196 1146 -.781 4246 .281 15.08197 .009215 .052078 .000590 r_peak,r_snr = .1718463 4.48312 1246 1.031 4246 -9.531 4.48312 .030142 1.162601 -.130322 r_peak,r_snr = .1321086 9.12434 1346 -.031 4246 .313 9.12434 .014061 .199981 .023016 r_peak,r_snr = .3917349 6.68217 1446 .156 4246 .063 6.68217 .003509 .036776 .000057 r_peak,r_snr = .1290845 15.9308 1546 .250 4246 .156 15.93080 .014257 .181321 -.017142 r_peak,r_snr = .2792855 6.13463 1646 .188 4246 -.688 6.13463 .011157 .118213 -.002801 r_peak,r_snr = .124888 8.28531 1746 -.063 4246 -.313 8.28531 .010397 .062914 -.001671 r_peak,r_snr = .2048536 11.1962 1846 .344 4246 .469 11.19620 .014599 .047977 -.009505 r_peak,r_snr = .2450286 4.43546 1946 -.125 4246 -.625 4.43546 .007858 .152427 .009961 r_peak,r_snr = .2551766 14.04399 2046 .031 4246 -5.813 14.04400 .004218 .203320 -.007734 At line = 4600 Reading in data.... r_peak,r_snr = 9.54248E-02 11.74596 146 .313 4646 .125 11.74596 .022259 .175004 -.018971 r_peak,r_snr = .178046 8.0591 246 -.125 4646 -.313 8.05910 .014313 .049533 .005569 r_peak,r_snr = .1891975 14.21359 346 .094 4646 -.188 14.21359 .005607 .102292 -.001115 r_peak,r_snr = .2812076 2.81996 446 .000 4646 .219 2.81996 .008169 .021305 -.003355 r_peak,r_snr = .1213829 6.82773 546 -.188 4646 -.719 6.82773 .011501 .084109 -.012114 r_peak,r_snr = .1604401 4.40742 646 -.063 4646 .000 4.40742 .009745 .278055 .019628 r_peak,r_snr = .2000818 14.35939 746 -.063 4646 -.063 14.35940 .009790 .052179 .003332 r_peak,r_snr = .2093242 19.81086 846 -.188 4646 -.094 19.81086 .006585 .027819 -.004008 r_peak,r_snr = .2072611 19.12132 946 .188 4646 .125 19.12133 .005577 .037025 -.002440 r_peak,r_snr = .1279013 12.75849 1046 -.094 4646 .000 12.75849 .011198 .085382 -.004337 r_peak,r_snr = .2209645 11.49061 1146 .188 4646 -.438 11.49061 .004994 .063161 -.001657 r_peak,r_snr = 9.17148E-02 9.3835 1246 -10.000 4646 -.063 9.38350 .048262 .092169 -.018297 r_peak,r_snr = .1402234 15.31946 1346 .281 4646 .188 15.31946 .008540 .052488 -.006637 r_peak,r_snr = .1767192 10.04478 1446 -.156 4646 -.813 10.04478 .010626 .184148 -.008926 r_peak,r_snr = .1688163 8.90969 1546 .094 4646 -1.094 8.90969 .011981 .285473 .001608 r_peak,r_snr = .1503535 11.0446 1646 .125 4646 -.188 11.04460 .013124 .077907 -.013362 r_peak,r_snr = .3175919 5.47163 1746 .063 4646 .063 5.47163 .009144 .098733 .009104 r_peak,r_snr = .1690256 17.52145 1846 .031 4646 .000 17.52145 .006533 .053292 .001815 r_peak,r_snr = .2054842 32.82553 1946 .188 4646 .219 32.82553 .005916 .019333 -.000642 r_peak,r_snr = .3108407 9.27154 2046 -.344 4646 .250 9.27154 .004012 .040100 -.001788 At line = 5000 Reading in data.... r_peak,r_snr = .1384139 17.00647 146 -.125 5046 -1.031 17.00648 .010291 .070888 -.004944 r_peak,r_snr = .1313489 9.70491 246 -.094 5046 -.313 9.70491 .010299 .080894 -.009816 r_peak,r_snr = .1692507 17.35564 346 .125 5046 .219 17.35565 .005801 .084123 -.002533 r_peak,r_snr = .2235431 25.78341 446 .188 5046 .344 25.78341 .004915 .023885 -.003194 r_peak,r_snr = .1662512 10.02254 546 .094 5046 .188 10.02255 .012429 .061866 -.000572 r_peak,r_snr = .1646576 18.63893 646 .094 5046 .344 18.63894 .015380 .111184 -.022207 r_peak,r_snr = .1321061 16.84836 746 .125 5046 -.219 16.84836 .014708 .036918 -.006489 r_peak,r_snr = .1533339 16.77698 846 .281 5046 .000 16.77699 .007915 .025427 -.000945 r_peak,r_snr = .2048326 18.9644 946 .094 5046 -.063 18.96440 .012234 .019323 -.006702 r_peak,r_snr = 9.95965E-02 7.16372 1046 12.281 5046 7.188 7.16372 .065557 .963543 .016949 r_peak,r_snr = .1093335 7.75895 1146 .375 5046 -3.719 7.75895 .117164 2.759001 .457940 r_peak,r_snr = .1570045 13.92031 1246 -.063 5046 -2.250 13.92031 .045908 .732991 -.162044 r_peak,r_snr = .2788225 6.68611 1346 .188 5046 6.844 6.68611 .014225 2.176744 -.095901 r_peak,r_snr = .4140441 2.49074 1446 .125 5046 -10.750 2.49074 .016539 .223237 .009752 r_peak,r_snr = .3499066 11.53657 1546 .094 5046 -.219 11.53657 .002402 .107683 -.000812 r_peak,r_snr = .1375648 9.48285 1646 -.906 5046 11.563 9.48285 .049609 .732574 -.014912 r_peak,r_snr = .1626988 13.24993 1746 .281 5046 .344 13.24993 .021372 .078669 .004078 r_peak,r_snr = .1335544 14.77006 1846 .063 5046 -.688 14.77006 .014397 .106602 .011410 r_peak,r_snr = .2333614 9.49667 1946 -.125 5046 -.031 9.49667 .008149 .077491 -.006247 r_peak,r_snr = .1093918 11.58125 2046 .531 5046 .156 11.58126 .074659 .113792 -.007202 At line = 5400 Reading in data.... r_peak,r_snr = 9.76611E-02 10.77703 146 10.438 5446 -10.250 10.77704 .021202 .063775 -.021999 r_peak,r_snr = .1931816 5.14293 246 -.094 5446 3.656 5.14293 .020843 .257967 -.009712 r_peak,r_snr = .1443231 10.60681 346 .063 5446 .688 10.60681 .011110 .228049 -.005504 r_peak,r_snr = .100167 6.60483 446 -1.188 5446 6.500 6.60483 .041170 .189906 .001967 r_peak,r_snr = .2017299 30.2677 546 .031 5446 .031 30.26770 .006276 .019121 .002163 r_peak,r_snr = 9.82569E-02 5.86168 646 -13.406 5446 -8.813 5.86168 .024621 .116848 -.001562 r_peak,r_snr = .1214204 8.43324 746 -9.625 5446 -8.938 8.43324 .038294 .372272 -.059069 r_peak,r_snr = .206083 10.50855 846 .000 5446 -.031 10.50855 .009411 .032618 .003541 r_peak,r_snr = .1163696 8.63788 946 -.344 5446 12.844 8.63788 .022582 .107744 -.019527 r_peak,r_snr = 9.41170E-02 7.7846 1046 1.219 5446 9.250 7.78460 .065536 .155250 .039235 r_peak,r_snr = .1364918 12.42738 1146 .219 5446 .031 12.42739 .011851 .077361 -.005253 r_peak,r_snr = .158287 11.95458 1246 -.375 5446 .250 11.95458 .016485 .040242 .001827 r_peak,r_snr = .2959178 6.76337 1346 .313 5446 -.750 6.76337 .008236 .116850 .008841 r_peak,r_snr = .1465993 11.6759 1446 .531 5446 .125 11.67591 .020622 .029317 .003428 r_peak,r_snr = .139202 15.64633 1546 -.063 5446 -.344 15.64633 .008551 .060114 -.004543 r_peak,r_snr = .1880868 6.77557 1646 11.156 5446 1.688 6.77557 .031572 .119472 -.006188 r_peak,r_snr = .1450562 6.49555 1746 .063 5446 .125 6.49555 .021112 .121331 -.004280 r_peak,r_snr = .182827 7.59741 1846 -.281 5446 -11.156 7.59741 .021721 .096771 -.014589 r_peak,r_snr = .1355311 9.17826 1946 -.156 5446 .313 9.17826 .011642 .070472 -.008522 r_peak,r_snr = .1343822 8.15042 2046 -.313 5446 3.875 8.15042 .072918 .497484 -.147656 At line = 5800 Reading in data.... r_peak,r_snr = .2206396 14.64322 146 .125 5846 -.219 14.64323 .010241 .033115 .002871 r_peak,r_snr = .1203577 12.35232 246 -.188 5846 -.750 12.35232 .010235 .080972 -.007293 r_peak,r_snr = .2606889 18.31498 346 .000 5846 -.531 18.31499 .004283 .015053 -.000775 r_peak,r_snr = .1545815 8.10382 446 .188 5846 -.781 8.10382 .011683 .081675 .003870 r_peak,r_snr = .1373866 6.04758 546 1.656 5846 -3.781 6.04758 .019386 .207330 -.004694 r_peak,r_snr = .2126538 13.03083 646 .094 5846 -.031 13.03084 .010699 .025235 .002290 r_peak,r_snr = .1402778 5.69335 746 .063 5846 -.406 5.69335 .013905 .321403 -.016116 r_peak,r_snr = 9.57606E-02 10.63032 846 -.844 5846 -8.219 10.63032 .023208 .098042 -.005607 r_peak,r_snr = .1986291 7.15407 1046 -.813 5846 1.938 7.15407 .018382 .030260 -.002617 r_peak,r_snr = .1421683 22.16712 1146 -3.813 5846 -1.938 22.16712 .009566 .045059 .000095 r_peak,r_snr = .3010609 6.48774 1346 .063 5846 -.469 6.48774 .006475 .057193 -.001669 r_peak,r_snr = .3022127 2.94727 1446 -.094 5846 -.125 2.94727 .012885 .072079 -.008370 r_peak,r_snr = .1139463 10.37376 1546 -.125 5846 .188 10.37376 .012211 .075836 -.000283 r_peak,r_snr = .399204 11.47097 1646 -.844 5846 3.844 11.47098 .002944 .037319 .003061 r_peak,r_snr = .1673715 12.36746 1746 .063 5846 -.063 12.36746 .020926 .039778 .008123 r_peak,r_snr = .1318006 4.55516 1846 10.500 5846 3.063 4.55516 .041038 .297724 .058212 r_peak,r_snr = .1305415 12.85677 1946 .156 5846 -8.656 12.85677 .015767 .105965 .003149 r_peak,r_snr = .1625694 18.06149 2046 -.250 5846 .469 18.06150 .012474 .051334 -.007122 ************************************************* ***** 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 94046 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 94046 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 94046 FOUND CALIB SET 94046 6.0 6.0 6.0 6.0 12.00 0.79 .2399999 .0 .2399999 .0 -1.44 132.945 1 125.236 125.5319 125.236 125.5319 84.352 87.90 82.69999 82.3 82.8 83.19999 95.30 139.46 -77.87 70.382 0.00 .0 .0 .0 .0 phasedat ahh ahv avh avv: -5.0 -213.696 -213.832 -213.796 -214.732 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: -5.00 deg Receiver phase difference is -69.70 deg Transmitter phase difference is -74.70 deg Cable phase difference is -77.87 deg Reading data to estimate cross-talk. 256 512 768 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 ********************************************* ***** ***** ***** 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 28 23:52:18 PDT 1998 Tue Apr 28 23:52:18 PDT 1998 ***************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * HEADER PREPROCESSOR * * * * This program reads the raw data header and cal- * * culates the parameters necessary for the motion * * compensation in the integrated processor. * * * ***************************************************** Enter command file name ==> Opening command file... Reading and decoding header file... Finished reading the header file... Data acquired before 1995. Operator Comments: - - - - - - - - - - - - - - - - - - - - - CPA @ 20:29:52 IDR=119600 FC=21,061,000 drft 1.3; smooth ride; almost cloud-free; CPA @ 20:19:28 IDR=053050 FC=20,546,391 drft -0.5; plenty of signal1 looks greatturb brieflyrdeduring 1st halfrick, Timothy William Millermothy William Miller - - - - - - - - - - - - - - - - - - - - - enter filename for headers (entire path): Which frequency? (C,L or P) number of channels transferred: number of bytes/chan: total # of lines transferred: window delay: enter the .par filename : enter first header to read: enter year data taken: enter HDDT ID for raw data: SONY tapeid: 94046 94046 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5271 prod ID1:*5271*5271* +53 54.5 -104 40.5 here here here here here chrp_delay is 32.5 usec 94046 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.10 24 6 5 18 16 20 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 8 0 >> ratn_lhv = 0 2 0 >> ratn_lvh = 0 2 0 >> ratn_lvv = 0 8 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.10 24 6 5 18 16 20 Done decoding data from header array... Data collected on ==> 21-JUL-1994 Starting and end GPS times for SAR data -171904411.0660 -171904362.0140 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 lati 53.86554 53.83936 53.89172 .0151573 0 loni -104.75291 -104.81970 -104.68649 .0384764 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8158.99023 8174.93018 5.2732916 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171904411.066751 -171904411.066 GPS trend coefficients = 10.60791236124931 -27.4774950142171 9.43478152991253 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00120 .00119 .00120 .0000023 0 va -.01285 -.10712 .12497 .0394823 0 ca .01548 -.10712 .14401 .0295744 0 aa -.04798 -.09521 -.00476 .0129091 0 hdg 124.70573 124.56299 124.90906 .0934461 0 trc 123.67133 123.54675 123.83789 .0764086 0 tgs 214.76309 214.00844 215.42316 .4066417 0 roll -.44762 -.64270 -.25269 .1082057 0 pitch 1.46575 1.37329 1.56006 .0629199 0 delx .25720 .25712 .25722 .0000128 0 lati 53.86554 53.83936 53.89154 .0151568 0 loni -104.75291 -104.81901 -104.68649 .0384745 0 latd 53.86015 53.83333 53.88667 .0153870 0 lond -104.76809 -104.83500 -104.70167 .0384553 0 balt 7923.56175 7921.14240 7927.54320 2.1267002 0 ralt 7751.11543 7736.73840 7759.90320 5.8608126 0 dpth 1.25281 1.20000 1.40000 .0611726 0 droll -.45562 -.60000 -.30000 .1051766 0 thd 125.06484 124.90000 125.30000 .1013887 0 dad -1.08234 -1.30000 -1.00000 .0613709 0 latg 53.86235 53.83621 53.88915 .0152962 0 long -104.76613 -104.83371 -104.70049 .0384848 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8165.50568 8164.06072 8166.43480 .4787149 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 8.00000 8.00000 8.00000 .0000000 0 lhv_aten 2.00000 2.00000 2.00000 .0000000 0 lvh_aten 2.00000 2.00000 2.00000 .0000000 0 lvv_aten 8.00000 8.00000 8.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va .00926 -.08750 .14505 .0417648 0 ca .01393 -.10732 .14429 .0300900 0 aa -.04845 -.09540 -.01431 .0128510 0 Average Barometric Altitude = 7923.561750000014 Average Radar Altitude = 7751.11543499998 Average GPS Altitude = 8165.505675506705 >>Record # : 64 >>GPS Stuff = 2.10 24 6 5 18 1 >>Record # : 40960 >>GPS Stuff = 2.10 24 6 5 18 1 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = -4.943544309412573E-04 Standard deviation of difference = 2.888745972423349E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.8751183 -104.7982101 8165.567 End position = 53.8491745 -104.7329712 8164.934 Loxodromic Heading (deg) = 123.9308277 Loxodromic Distance (km) = 5173.1396375 Geodesic Heading (deg) = 123.9044801 Geodesic Distance (km) = 5173.1394227 Peg latitude and longitude = 53.8621483 -104.7655487 Peg heading = 123.9516078 Rotation matrix First row = -.150301170 .687162801 .710786074 Second row = -.570255251 -.647556495 .505449835 Third row = .807600463 -.329359789 .489186695 Translation vector Vector = -701.87152 -2662.95942 -30786.88035 Local Radius of Curvature = 6387437.101806902 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2586639386130985 Delta s on reference surface = .2586639397075425 Making fits... Vertical fit coefficients = 8164.294964539976 .1846099027841319 -3.605603944155433E-03 Cross track fit coefficients = -7.95161963505718 .4558216863094728 -7.442478899737370E-04 Along track fit coefficients = -5329.15101741795 216.56710115947 -2.458525056008298E-04 Miscellaneous Information Start range = 8304.25225 Start ground range = 2980.069620820144 Time orgin = -171904411.066751 Pulse spacing = .2572010432937112 First frame = 21914520 Thank you for your patronage Enter the name of the motion compensation file. Name of the H-pol motion compensation file? Name of the V-pol motion compensation file? How many lines per polarization? ********************************************* * * * AIRSAR INTEGRATED PROCESSOR * * * * CALTONE ESTIMATOR * * * * This program estimates the CALTONE amp- * * litude and phase and writes the result * * into the parameter header. * * * ********************************************* Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PHH Enter the paramater file name. /data3/airops/cm5271_p.par Enter the raw data file name. /data1/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5271_p.mocomph Enter a file name for the range spectrum: /data1/airops/db_p_hh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_hh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_hh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_p_hh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 1 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (413.0507,.0) (278.0148,.0) (-397.164,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 22064.64 Pulse#/64: 65 1073 59910.24 Pulse#/64: 129 1073 83467.28 Pulse#/64: 193 1073 97564.28 Pulse#/64: 257 1073 349569.1 Estimate Caltone : 1156 -----CalTone Estimate Position --- CalTone Bin at : 1156 1073 CalTone Bin offset : -83 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.33214Power RMS: 3.20152 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 394.0536Amp. RMS: 154.2822 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 52.06Phase RMS: 252.4376 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.15292 CalTone Power Coherently dB : 51.33214 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.15292 Incoherent PW - Coherent PW : 35.82077 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22690.39 CalTone Amplitude Coherently : 394.0536 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22296.33 ------------ *** ------------ running time (sec): 36.41 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PHV Enter the paramater file name. /data3/airops/cm5271_p.par Enter the raw data file name. /data1/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5271_p.mocompv Enter a file name for the range spectrum: /data1/airops/db_p_hv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_hv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_hv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_p_hv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 2 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (167.205,.0) (-330.429,.0) (55.735,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 259603.4 Pulse#/64: 65 1073 888132.0 Pulse#/64: 129 1073 197090.5 Pulse#/64: 193 1073 226504.7 Pulse#/64: 257 1073 258679.0 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.30911Power RMS: 1.3412 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 468.5597Amp. RMS: 76.70845 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 25.17913Phase RMS: 235.7201 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.23621 CalTone Power Coherently dB : 53.30911 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.23621 Incoherent PW - Coherent PW : 35.9271 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28985.66 CalTone Amplitude Coherently : 468.5597 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28517.1 ------------ *** ------------ running time (sec): 30.42 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PVH Enter the paramater file name. /data3/airops/cm5271_p.par Enter the raw data file name. /data1/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5271_p.mocomph Enter a file name for the range spectrum: /data1/airops/db_p_vh.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_vh.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_vh.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_p_vh.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 3 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (59.71607,.0) (-230.902,.0) (39.81071,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 145052.1 Pulse#/64: 65 1073 108779.9 Pulse#/64: 129 1073 102019.2 Pulse#/64: 193 1073 147580.5 Pulse#/64: 257 1073 124865.0 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.02302Power RMS: 1.52726 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 361.1649Amp. RMS: 64.41879 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 20.22632Phase RMS: 259.8462 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.17074 CalTone Power Coherently dB : 51.02302 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.17074 Incoherent PW - Coherent PW : 36.14771 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22886.82 CalTone Amplitude Coherently : 361.1649 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22525.66 ------------ *** ------------ running time (sec): 30.84 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 1 Enter Channel Flag:(ctp,cbt,lhh,lhv,lvh,lvv,phh..) PVV Enter the paramater file name. /data3/airops/cm5271_p.par Enter the raw data file name. /data1/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5271_p.mocompv Enter a file name for the range spectrum: /data1/airops/db_p_vv.dat Enter a file name for the sampled caltone power: /data1/airops/1st_p_vv.dat Enter histogram of the caltone power file name: /data1/airops/pw_hist_p_vv.dat Enter histogram of the caltone phase file name: /data1/airops/ph_hist_p_vv.dat How many lines of raw data? 20480 Enter start range line #: 1 Enter polarization (1=HH,2=HV,3=VH,4=VV): 4 Sampling frequency = 45.0 Raw data samples per line = 5119 Raw data samples over 6144 = 5119 25349.44 8301.25 3.33103 Caltone frequency = 21.44529 Prediction cal_bin 1073 start/end pulse: 1 20417 64-Loop Count: 319 cmplx raw(1 2 3): (-270.072,.0) (47.65969,.0) (-119.149,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 301876.9 Pulse#/64: 65 1073 166342.9 Pulse#/64: 129 1073 272800.7 Pulse#/64: 193 1073 402197.5 Pulse#/64: 257 1073 102038.2 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.43612Power RMS: 2.67393 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 492.2665Amp. RMS: 161.8513 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 22.18694Phase RMS: 235.328 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.30611 CalTone Power Coherently dB : 53.43612 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.30611 Incoherent PW - Coherent PW : 35.86998 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 29192.01 CalTone Amplitude Coherently : 492.2665 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28699.75 ------------ *** ------------ running time (sec): 35.92 ********** 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: -4.45939 1.42038E-04 z fit: constant and linear terms: 1.21085 1.87731E-09 y and z standard deviations (meters) 1.35989 .4557612 Enter the name of the global line file. Enter the name of the motion compensation file. Enter the number of lines in the mocomp file & first one. Enter the patch size and the max reference fnc length. Enter the maximum Doppler error. Enter the doppler file name. Enter the wavelength and nominal azimuth pixel spacing Initial guess at number of patches = 4 Step size = 3492 PATCH NUMER 1 First line = 1 Averages = 3.44898E-02 3.27017E-02 3.28634E-02 3.44247E-02 Differences = 8.69855E-04 -9.18165E-04 -7.56461E-04 8.04771E-04 PATCH NUMER 2 First line = 3493 Averages = 3.24560E-02 3.39918E-02 3.51863E-02 3.47887E-02 Differences = -1.64973E-03 -1.13878E-04 1.08054E-03 6.82987E-04 PATCH NUMER 3 First line = 6985 Averages = 3.49533E-02 3.48536E-02 3.57224E-02 3.73059E-02 Differences = -7.55467E-04 -8.55166E-04 1.35824E-05 1.59711E-03 PATCH NUMER 4 First line = 10477 Averages = 3.52044E-02 3.69322E-02 3.82153E-02 3.96175E-02 Differences = -2.28800E-03 -5.60146E-04 7.22956E-04 2.12514E-03 PATCH NUMER 5 First line = 13969 Averages = 3.77754E-02 3.93885E-02 4.03708E-02 4.04790E-02 Differences = -1.72801E-03 -1.15000E-04 8.67367E-04 9.75534E-04 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5271_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_hh Name of the mocomp data file? /data3/airops/cm5271_p.mocomph Output file name? /data3/airops/cm5271_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ph xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.363 Processing 5 blocks Processing block number 1 reference line: 4096 2.363 seconds. Range compression done, time = 119.696 Motion comp. coeff. calculated, time = 119.761 Motion comp. added to patch, time = 210.793 Doppler estimation done, time = 210.794 Azimuth compression starting, time : 210.931 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 589.533 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 611.361 seconds. Range compression done, time = 716.361 Motion comp. coeff. calculated, time = 716.401 Motion comp. added to patch, time = 792.258 Doppler estimation done, time = 792.258 Azimuth compression starting, time : 792.374 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1197.336 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1216.711 seconds. Range compression done, time = 1323.556 Motion comp. coeff. calculated, time = 1323.776 Motion comp. added to patch, time = 1403.404 Doppler estimation done, time = 1403.404 Azimuth compression starting, time : 1403.518 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1825.077 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1845.058 seconds. Range compression done, time = 1950.365 Motion comp. coeff. calculated, time = 1950.524 Motion comp. added to patch, time = 2026.261 Doppler estimation done, time = 2026.261 Azimuth compression starting, time : 2026.394 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2439.175 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2458.746 seconds. Range compression done, time = 2563.126 Motion comp. coeff. calculated, time = 2563.287 Motion comp. added to patch, time = 2639.110 Doppler estimation done, time = 2639.110 Azimuth compression starting, time : 2639.238 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3052.625 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_p.hh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5271_p.hh Name of the doppler parameter file? /data3/airops/cm5271_p.dop Name of the deskew file? /data3/airops/deskew.ph Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5271_p.hh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5271_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_hv Name of the mocomp data file? /data3/airops/cm5271_p.mocomph Output file name? /data3/airops/cm5271_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.ph xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.339 Processing 5 blocks Processing block number 1 reference line: 4096 2.339 seconds. Range compression done, time = 113.717 Motion comp. coeff. calculated, time = 113.759 Motion comp. added to patch, time = 193.028 Doppler estimation done, time = 193.028 Azimuth compression starting, time : 193.144 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 568.813 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 590.182 seconds. Range compression done, time = 695.491 Motion comp. coeff. calculated, time = 695.531 Motion comp. added to patch, time = 771.391 Doppler estimation done, time = 771.391 Azimuth compression starting, time : 771.526 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1147.496 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1164.038 seconds. Range compression done, time = 1270.044 Motion comp. coeff. calculated, time = 1270.244 Motion comp. added to patch, time = 1345.822 Doppler estimation done, time = 1345.822 Azimuth compression starting, time : 1345.958 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1721.733 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1741.688 seconds. Range compression done, time = 1847.420 Motion comp. coeff. calculated, time = 1847.582 Motion comp. added to patch, time = 1923.267 Doppler estimation done, time = 1923.267 Azimuth compression starting, time : 1923.411 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2299.312 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2318.862 seconds. Range compression done, time = 2424.181 Motion comp. coeff. calculated, time = 2424.329 Motion comp. added to patch, time = 2500.199 Doppler estimation done, time = 2500.199 Azimuth compression starting, time : 2500.329 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2876.285 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_p.hv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5271_p.hv Name of the doppler parameter file? /data3/airops/cm5271_p.dop Name of the deskew file? /data3/airops/deskew.ph Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data9/airops/cm5271_p.hv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5271_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_vh Name of the mocomp data file? /data3/airops/cm5271_p.mocompv Output file name? /data3/airops/cm5271_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.pv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.368 Processing 5 blocks Processing block number 1 reference line: 4096 2.368 seconds. Range compression done, time = 112.101 Motion comp. coeff. calculated, time = 112.141 Motion comp. added to patch, time = 191.083 Doppler estimation done, time = 191.083 Azimuth compression starting, time : 191.199 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 570.251 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 591.617 seconds. Range compression done, time = 696.663 Motion comp. coeff. calculated, time = 696.722 Motion comp. added to patch, time = 772.586 Doppler estimation done, time = 772.586 Azimuth compression starting, time : 772.713 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1180.087 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1197.595 seconds. Range compression done, time = 1303.202 Motion comp. coeff. calculated, time = 1303.415 Motion comp. added to patch, time = 1378.997 Doppler estimation done, time = 1378.997 Azimuth compression starting, time : 1379.126 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1792.557 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1812.674 seconds. Range compression done, time = 1918.096 Motion comp. coeff. calculated, time = 1918.274 Motion comp. added to patch, time = 1993.935 Doppler estimation done, time = 1993.935 Azimuth compression starting, time : 1994.066 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2410.869 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2430.551 seconds. Range compression done, time = 2535.160 Motion comp. coeff. calculated, time = 2535.305 Motion comp. added to patch, time = 2611.175 Doppler estimation done, time = 2611.175 Azimuth compression starting, time : 2611.293 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3029.989 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_p.vh ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5271_p.vh Name of the doppler parameter file? /data3/airops/cm5271_p.dop Name of the deskew file? /data3/airops/deskew.pv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5271_p.vh Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 Writing new header.. Closing files .. ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Fancy Single Look Processor ***** ***** ***** ***** Version 5.02 ***** ***** ***** ********************************************* Please enter the name of the sensor file. /export/home0/airops/processor/data/sensor.pp Please enter the name of the parameter file /data3/airops/cm5271_p.par The following values were specified: Processing 6144 bytes per data line Start processing at line 1 Going to process 20480 lines Keeping 4192 data points per patch Near range (m) = 8301.25 Slant range pixel spacing (m) = 6.66205 Azimuth pixel spacing (m) = .51444 Theoretical azimuth resolution (m) = 3.5 Radar wavelength (m) = .68329 ADC sampling frequency (MHz) = 45.0 Pulse length (microseconds) = 10.0 Chirp bandwidth (MHz) = 20.0 Ashift = -1.45 Range weighting coefficient = .1 Map height (m) = 413.2 Transmit leverarm x,y,z = 2.03 .5299999 -.22 Receive leverarm x,y,z = 2.03 .5299999 -.22 Name of raw data file? /data1/airops/p_vv Name of the mocomp data file? /data3/airops/cm5271_p.mocompv Output file name? /data3/airops/cm5271_p Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. vv Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.pv xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.393 Processing 5 blocks Processing block number 1 reference line: 4096 2.394 seconds. Range compression done, time = 138.932 Motion comp. coeff. calculated, time = 138.974 Motion comp. added to patch, time = 223.759 Doppler estimation done, time = 223.759 Azimuth compression starting, time : 223.885 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 601.825 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 623.245 seconds. Range compression done, time = 756.515 Motion comp. coeff. calculated, time = 756.568 Motion comp. added to patch, time = 838.255 Doppler estimation done, time = 838.255 Azimuth compression starting, time : 838.393 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1216.644 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1234.744 seconds. Range compression done, time = 1369.084 Motion comp. coeff. calculated, time = 1369.288 Motion comp. added to patch, time = 1451.121 Doppler estimation done, time = 1451.121 Azimuth compression starting, time : 1451.254 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1829.399 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1849.453 seconds. Range compression done, time = 1983.319 Motion comp. coeff. calculated, time = 1983.496 Motion comp. added to patch, time = 2065.772 Doppler estimation done, time = 2065.772 Azimuth compression starting, time : 2065.917 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2444.013 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2463.540 seconds. Range compression done, time = 2596.927 Motion comp. coeff. calculated, time = 2597.078 Motion comp. added to patch, time = 2686.662 Doppler estimation done, time = 2686.662 Azimuth compression starting, time : 2686.790 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3065.299 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5271_p.vv ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** Deskew Program ***** ***** ***** ***** Version 1.00 ***** ***** ***** ***** This program is used to deskew ***** ***** single-look data before multi- ***** ***** looking is performed. ***** ***** ***** ********************************************* Name of data file to be deskewed? /data3/airops/cm5271_p.vv Name of the doppler parameter file? /data3/airops/cm5271_p.dop Name of the deskew file? /data3/airops/deskew.pv Line up to another frequency [y/n]? y Name of the deskew file to line up to? /data3/airops/deskew.ch Enter N_AZ, NA_VALID and the ratio of the pixel spacing of the file to line up to relative to the current pixel spacing. 4096 2208 1.0 Name of the output file? /data10/airops/cm5271_p.vv Name of the line output file? /data9/airops/lines.dat Deskewing 5 patches Processing block number 1 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1053 1054 3150 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3149 Processing block number 2 3150 4547 1 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4546 4547 6643 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6642 Processing block number 3 6643 8055 16 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8054 8055 10151 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10150 Processing block number 4 10151 11566 19 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11565 11566 13662 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13661 Processing block number 5 1374 1107 18 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13661 1374 3203 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15490 Writing the last 2445 lines Total # of output lines = 17935 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: 996 *************************************** ***** ***** ***** 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 94046 writing parheadP writing parhead 20.0 writing parhead 89.19999 writing parhead 87.19999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01595 27.10625 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 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... Correlation Surface at 146 3046 .188 .306 .608 .811 .770 .521 .273 .109 .013 .220 .354 .626 .844 .851 .575 .294 .116 .017 .265 .409 .644 .875 .934 .618 .295 .110 .021 .317 .459 .665 .897 .989 .642 .281 .097 .024 .363 .489 .687 .901 1.000 .638 .261 .083 .025 .387 .489 .698 .887 .969 .610 .246 .075 .025 .378 .459 .687 .858 .913 .566 .241 .077 .025 .349 .415 .653 .827 .852 .517 .241 .089 .026 .322 .375 .600 .805 .800 .471 .239 .104 .027 r_peak,r_snr = .3545626 4.30409 Correlation Surface of oversamples image at 146 3046 .428 .555 .700 .814 .833 .772 .672 .519 .351 .426 .548 .700 .843 .895 .845 .736 .568 .378 .422 .541 .698 .866 .947 .906 .788 .606 .397 .419 .539 .700 .882 .984 .950 .825 .630 .406 .412 .537 .700 .888 1.000 .970 .839 .637 .406 .397 .530 .694 .879 .991 .962 .825 .624 .395 .377 .518 .681 .856 .961 .927 .788 .592 .375 .356 .504 .665 .827 .919 .879 .736 .550 .350 .333 .485 .643 .788 .865 .816 .672 .498 .321 146 1.625 3046 3.125 4.30409 .010136 .973849 .015523 Correlation Surface at 246 3046 .397 .514 .700 .714 .679 .646 .509 .530 .534 .381 .427 .644 .833 .802 .719 .512 .523 .630 .348 .330 .541 .877 .910 .793 .515 .499 .702 .314 .249 .421 .844 .977 .847 .515 .460 .726 .285 .192 .311 .760 1.000 .865 .506 .410 .688 .258 .155 .226 .664 .987 .837 .483 .357 .597 .231 .130 .172 .580 .948 .776 .447 .306 .482 .206 .110 .143 .518 .894 .699 .399 .265 .382 .183 .091 .131 .477 .826 .621 .348 .240 .314 r_peak,r_snr = .2727634 4.31904 Correlation Surface of oversamples image at 246 3046 .811 1.382 2.219 3.132 3.801 3.906 3.500 2.905 2.364 .738 1.323 2.180 3.121 3.800 3.872 3.410 2.770 2.220 .673 1.269 2.137 3.093 3.771 3.816 3.315 2.634 2.070 .677 1.308 2.207 3.187 3.869 3.893 3.354 2.618 2.018 246 .250 3046 3.813 4.31904 .096593 3.894471 -.515920 Correlation Surface at 346 3046 .090 .222 .333 .714 .806 .608 .536 .256 .158 .070 .158 .246 .649 .868 .618 .454 .214 .166 .053 .103 .174 .583 .927 .625 .373 .160 .151 .042 .065 .127 .536 .979 .641 .319 .113 .122 .038 .042 .101 .507 1.000 .656 .297 .086 .095 .040 .030 .089 .483 .966 .651 .299 .082 .081 .047 .026 .083 .454 .868 .610 .316 .099 .086 .055 .027 .079 .409 .722 .528 .322 .131 .108 r_peak,r_snr = .28602 5.65191 Correlation Surface of oversamples image at 346 3046 .240 .371 .589 .823 .939 .878 .720 .547 .374 .207 .333 .553 .809 .961 .918 .747 .546 .350 .182 .303 .524 .798 .979 .951 .771 .549 .334 .164 .283 .505 .793 .993 .978 .796 .559 .327 .153 .270 .493 .788 1.000 .994 .815 .572 .328 .145 .260 .480 .776 .989 .990 .820 .582 .331 .140 .253 .467 .755 .960 .965 .811 .588 .338 .139 .251 .459 .733 .924 .930 .797 .596 .352 .140 .252 .453 .708 .879 .883 .773 .598 .366 346 .219 3046 11.031 5.65191 .006467 1.035610 -.024751 Correlation Surface at 446 3046 .642 .459 .365 .557 .904 .843 .723 .572 .454 .605 .418 .358 .588 .942 .837 .692 .567 .457 .534 .367 .340 .608 .978 .851 .654 .535 .442 .455 .321 .318 .611 1.000 .876 .618 .490 .419 .388 .289 .299 .599 1.000 .897 .594 .449 .403 .346 .271 .291 .582 .981 .901 .589 .429 .406 .337 .267 .298 .570 .949 .880 .600 .436 .429 .359 .278 .321 .569 .909 .837 .618 .467 .467 r_peak,r_snr = .4069372 2.17315 Correlation Surface of oversamples image at 446 3046 1.083 1.544 2.480 3.509 4.000 3.797 3.323 2.910 2.557 1.070 1.528 2.401 3.336 3.771 3.561 3.113 2.753 2.484 1.077 1.536 2.350 3.187 3.557 3.342 2.921 2.602 2.402 1.089 1.560 2.338 3.109 3.436 3.216 2.799 2.482 2.312 1.100 1.588 2.344 3.071 3.372 3.155 2.733 2.392 2.221 446 .563 3046 7.188 2.17315 .008490 2.959560 -.087894 Correlation Surface at 546 3046 .034 .106 .117 .452 .989 .574 .437 .483 .150 .033 .126 .129 .448 1.000 .564 .378 .452 .175 .030 .126 .131 .435 .972 .553 .326 .401 .185 .025 .112 .125 .411 .913 .522 .281 .343 .173 .021 .094 .117 .385 .845 .479 .252 .294 .146 .020 .080 .111 .363 .791 .448 .251 .261 .109 r_peak,r_snr = .2023654 6.28396 Correlation Surface of oversamples image at 546 3046 .149 .227 .367 .627 .865 .815 .517 .280 .212 .169 .247 .390 .659 .910 .857 .541 .284 .203 .185 .267 .416 .692 .950 .897 .571 .298 .201 .197 .284 .441 .722 .981 .933 .605 .319 .206 .204 .298 .462 .743 1.000 .959 .638 .343 .213 .204 .304 .474 .750 .997 .964 .657 .359 .216 .196 .303 .476 .741 .974 .949 .660 .364 .212 .189 .299 .474 .727 .949 .932 .660 .366 .206 .182 .293 .467 .708 .918 .913 .655 .363 .198 546 -.313 3046 -13.781 6.28396 .008962 4.974246 .003270 Correlation Surface at 646 3046 .046 .126 .628 .943 .583 .085 .046 .029 .001 .029 .087 .598 .977 .760 .139 .036 .002 .013 .009 .043 .501 .944 .892 .195 .033 .005 .059 .000 .010 .378 .885 .975 .236 .038 .018 .102 .024 .000 .261 .817 1.000 .248 .049 .019 .107 .090 .017 .172 .748 .966 .239 .067 .006 .073 .184 .060 .114 .674 .879 .224 .090 .001 .026 .286 .122 .075 .591 .753 .219 .117 .021 .000 .381 .209 .046 .510 .616 .232 .145 .068 .029 r_peak,r_snr = .1299611 6.36404 Correlation Surface of oversamples image at 646 3046 .060 .302 .601 .804 .908 .856 .601 .321 .156 .053 .291 .590 .810 .932 .893 .641 .351 .169 .047 .285 .588 .825 .964 .929 .677 .378 .185 .041 .277 .585 .841 .993 .957 .700 .398 .202 .031 .257 .565 .835 1.000 .962 .703 .402 .211 .021 .231 .534 .813 .990 .955 .695 .399 .217 .014 .210 .510 .797 .985 .958 .699 .404 .232 .008 .187 .483 .771 .966 .949 .698 .408 .247 .001 .147 .427 .705 .897 .892 .660 .388 .245 646 1.688 3046 8.344 6.36404 .028580 6.574389 -.226871 Correlation Surface at 946 3046 .045 .039 .169 .312 .671 .382 .005 .036 .034 .042 .083 .199 .322 .693 .348 .002 .090 .073 .034 .121 .217 .379 .809 .364 .000 .154 .085 .023 .122 .221 .451 .949 .441 .000 .196 .064 .013 .086 .214 .498 1.000 .541 .001 .189 .028 .004 .036 .203 .501 .895 .572 .005 .137 .004 .000 .003 .192 .477 .672 .481 .011 .070 .001 .012 .010 .168 .457 .446 .308 .010 .019 .015 .043 .067 .127 .470 .303 .147 .004 .000 .038 r_peak,r_snr = .1314613 5.97404 Correlation Surface of oversamples image at 946 3046 .148 .162 .283 .538 .773 .736 .427 .097 .004 .148 .171 .322 .615 .845 .744 .389 .071 .011 .140 .176 .356 .687 .913 .754 .355 .048 .023 .126 .176 .382 .746 .970 .764 .328 .031 .037 .108 .169 .393 .777 1.000 .766 .307 .021 .051 .088 .156 .385 .773 .991 .748 .286 .014 .062 .067 .137 .357 .727 .934 .702 .261 .009 .069 .048 .116 .314 .646 .834 .628 .229 .006 .070 .036 .102 .272 .551 .710 .537 .195 .005 .064 946 1.000 3046 3.719 5.97404 .023557 .884489 -.025110 Correlation Surface at 1046 3046 .255 .369 .246 .152 .366 .368 .032 .025 .098 .168 .298 .231 .198 .567 .561 .054 .021 .079 .071 .169 .156 .234 .787 .755 .073 .013 .046 .015 .064 .079 .252 .951 .881 .084 .007 .018 .001 .014 .034 .250 1.000 .897 .085 .005 .005 .000 .002 .024 .253 .938 .800 .077 .009 .002 .001 .003 .045 .287 .807 .629 .065 .021 .009 .008 .011 .104 .357 .650 .440 .055 .053 .037 .023 .031 .189 .435 .503 .273 .053 .114 .106 r_peak,r_snr = .1646797 10.44532 Correlation Surface of oversamples image at 1046 3046 .188 .291 .523 .753 .799 .574 .241 .042 .002 .192 .325 .593 .846 .881 .621 .259 .047 .002 .194 .353 .650 .919 .947 .660 .275 .054 .003 .194 .373 .688 .966 .990 .687 .289 .063 .006 .191 .381 .699 .976 1.000 .693 .294 .071 .010 .187 .381 .689 .956 .980 .679 .291 .078 .015 .190 .384 .676 .926 .949 .660 .288 .085 .023 .198 .387 .655 .881 .901 .628 .280 .094 .035 .200 .377 .609 .799 .813 .566 .257 .096 .047 1046 -.719 3046 6.375 10.44532 .015263 1.045535 .023343 Correlation Surface at 1146 3046 .151 .399 .646 .546 .292 .173 .086 .002 .017 .254 .544 .711 .721 .464 .195 .127 .003 .003 .257 .577 .689 .840 .707 .237 .172 .049 .012 .172 .495 .604 .859 .923 .269 .187 .166 .112 .080 .360 .499 .781 1.000 .269 .152 .319 .325 .024 .229 .405 .654 .910 .223 .085 .424 .596 .004 .138 .337 .518 .686 .152 .032 .424 .818 .000 .091 .292 .387 .423 .094 .012 .347 .898 .000 .067 .259 .267 .217 .067 .012 .250 .805 r_peak,r_snr = .119091 6.50366 Correlation Surface of oversamples image at 1146 3046 .326 .526 .696 .754 .691 .530 .344 .202 .117 .304 .500 .703 .818 .802 .655 .438 .254 .150 .266 .457 .692 .864 .900 .778 .537 .307 .181 .221 .406 .664 .885 .968 .876 .622 .350 .204 .175 .354 .624 .881 1.000 .937 .682 .376 .214 .137 .308 .582 .856 .995 .956 .709 .382 .209 .107 .267 .533 .805 .945 .921 .694 .364 .189 .082 .225 .469 .715 .839 .824 .626 .317 .153 .064 .189 .399 .606 .703 .688 .523 .253 .110 1146 -3.375 3046 6.250 6.50366 .025819 .969123 -.033063 Correlation Surface at 1246 3046 .180 .022 .221 .142 .377 .811 .651 .027 .099 .096 .063 .278 .247 .586 .926 .613 .039 .074 .038 .095 .315 .392 .806 .980 .572 .056 .054 .009 .100 .326 .545 .964 .963 .546 .081 .038 .001 .078 .319 .662 1.000 .899 .553 .116 .024 .000 .047 .305 .722 .928 .832 .607 .163 .010 .000 .021 .290 .727 .800 .788 .711 .225 .001 .002 .006 .276 .699 .683 .771 .840 .298 .005 .017 .001 .271 .673 .619 .779 .952 .357 .024 r_peak,r_snr = .1553687 5.38241 Correlation Surface of oversamples image at 1246 3046 .200 .281 .372 .508 .635 .623 .488 .337 .216 .208 .320 .456 .630 .759 .708 .528 .359 .236 .211 .356 .540 .747 .869 .778 .564 .386 .263 .211 .390 .616 .847 .955 .830 .597 .421 .299 .208 .417 .677 .917 1.000 .851 .618 .455 .340 .198 .433 .715 .947 .998 .837 .623 .485 .380 .185 .441 .735 .948 .963 .802 .620 .515 .423 .178 .453 .751 .937 .918 .766 .624 .557 .478 .172 .460 .753 .905 .857 .721 .626 .601 .537 1246 -.125 3046 4.313 5.38241 .161694 1.774085 .397500 Correlation Surface at 1346 3046 .001 .028 .283 .880 .796 .180 .027 .011 .000 .010 .009 .223 .871 .874 .214 .027 .009 .000 .026 .001 .172 .846 .945 .252 .028 .007 .001 .043 .001 .132 .800 .991 .287 .029 .005 .003 .056 .003 .104 .738 1.000 .311 .030 .003 .005 .059 .003 .091 .668 .966 .319 .029 .002 .006 .053 .002 .089 .602 .897 .312 .028 .001 .005 .043 .000 .096 .546 .809 .294 .026 .000 .004 .036 .000 .107 .504 .723 .273 .023 .000 .002 r_peak,r_snr = .3371638 8.04292 Correlation Surface of oversamples image at 1346 3046 .024 .165 .448 .786 .948 .761 .372 .087 .003 .012 .138 .421 .776 .963 .793 .401 .099 .005 .003 .109 .387 .758 .973 .824 .432 .113 .006 .000 .084 .355 .743 .989 .860 .464 .129 .009 .001 .062 .321 .723 1.000 .892 .494 .144 .012 .006 .042 .283 .692 .998 .914 .519 .157 .014 .013 .027 .243 .651 .983 .925 .537 .169 .017 .020 .016 .208 .608 .960 .928 .549 .177 .019 .026 .009 .176 .562 .928 .919 .552 .181 .019 1346 -.375 3046 -6.750 8.04292 .005678 1.192492 -.056227 Correlation Surface at 1446 3046 .161 .294 .408 .620 .744 .452 .147 .020 .013 .161 .272 .374 .642 .844 .508 .155 .016 .015 .155 .238 .329 .648 .934 .564 .168 .015 .016 .143 .199 .281 .632 .990 .605 .182 .015 .016 .128 .165 .238 .594 1.000 .627 .195 .018 .014 .111 .138 .204 .536 .959 .625 .205 .022 .009 .093 .122 .185 .474 .881 .597 .209 .028 .004 .077 .118 .181 .417 .785 .553 .206 .034 .001 .063 .122 .185 .368 .687 .504 .198 .038 .000 r_peak,r_snr = .3598363 7.36963 Correlation Surface of oversamples image at 1446 3046 .338 .459 .658 .859 .927 .795 .547 .308 .134 .323 .454 .667 .885 .960 .821 .564 .321 .145 .310 .446 .669 .900 .982 .840 .578 .334 .157 .300 .438 .665 .904 .997 .855 .590 .348 .171 .293 .429 .652 .897 1.000 .865 .600 .360 .185 .288 .417 .631 .875 .988 .862 .603 .369 .197 .283 .403 .602 .840 .961 .849 .599 .372 .206 .279 .387 .570 .800 .928 .831 .593 .374 .214 .274 .370 .536 .754 .886 .807 .584 .373 .219 1446 -.031 3046 5.844 7.36963 .005395 .669275 -.030567 Correlation Surface at 1546 3046 .014 .180 .388 .663 .745 .548 .198 .084 .113 .022 .198 .438 .710 .813 .626 .230 .092 .114 .029 .188 .429 .724 .897 .720 .263 .114 .132 .035 .159 .371 .701 .970 .799 .286 .143 .167 .039 .128 .297 .648 1.000 .830 .293 .172 .217 .043 .106 .235 .579 .970 .797 .284 .193 .269 .045 .096 .197 .515 .891 .715 .263 .198 .301 .049 .101 .187 .473 .796 .622 .241 .191 .300 .056 .116 .198 .457 .715 .546 .226 .177 .271 r_peak,r_snr = .260721 4.26933 Correlation Surface of oversamples image at 1546 3046 .630 .717 .826 .908 .928 .853 .692 .462 .249 .627 .721 .834 .922 .949 .880 .716 .475 .255 .613 .712 .831 .927 .969 .907 .735 .481 .256 .593 .695 .818 .928 .987 .932 .748 .480 .253 .572 .674 .802 .924 1.000 .951 .755 .475 .249 .547 .647 .776 .910 1.000 .955 .749 .464 .242 .512 .606 .736 .878 .977 .936 .727 .443 .230 .470 .556 .684 .831 .932 .896 .688 .414 .215 .432 .508 .632 .778 .876 .842 .644 .385 .201 1546 .094 3046 8.813 4.26933 .023412 1.219495 -.088550 Correlation Surface at 1646 3046 .029 .143 .374 .914 .719 .219 .072 .117 .278 .038 .141 .320 .866 .780 .269 .093 .150 .297 .045 .143 .281 .819 .870 .356 .123 .191 .329 .051 .149 .257 .779 .958 .467 .161 .226 .366 .054 .155 .243 .735 1.000 .569 .198 .244 .395 .051 .153 .229 .676 .979 .631 .224 .238 .407 .045 .137 .205 .603 .912 .642 .236 .216 .391 .038 .111 .169 .517 .823 .619 .248 .195 .353 .034 .083 .130 .425 .724 .585 .277 .192 .307 r_peak,r_snr = .2302048 5.21216 Correlation Surface of oversamples image at 1646 3046 .138 .342 .651 .874 .827 .614 .400 .247 .170 .128 .325 .640 .897 .886 .678 .447 .276 .191 .118 .304 .622 .909 .938 .742 .499 .311 .215 .109 .282 .595 .907 .978 .803 .554 .350 .242 .101 .259 .562 .890 1.000 .854 .608 .392 .272 .094 .237 .523 .858 1.000 .887 .656 .436 .303 .088 .215 .481 .811 .977 .898 .692 .476 .332 .083 .193 .435 .752 .931 .885 .710 .507 .358 .076 .172 .390 .687 .870 .853 .712 .529 .377 1646 -.031 3046 -1.750 5.21216 .039769 1.924285 -.226224 Correlation Surface at 1846 3046 .018 .022 .089 .537 .731 .292 .228 .086 .000 .024 .037 .131 .638 .847 .282 .153 .058 .002 .035 .055 .166 .705 .936 .278 .104 .042 .008 .048 .073 .182 .722 .987 .283 .081 .034 .022 .056 .083 .173 .684 1.000 .305 .081 .031 .037 .057 .082 .147 .595 .979 .352 .099 .032 .045 .049 .075 .116 .474 .927 .423 .132 .037 .046 .037 .063 .085 .348 .850 .495 .166 .044 .044 .029 .052 .056 .241 .757 .539 .181 .050 .043 r_peak,r_snr = .2064281 10.62984 Correlation Surface of oversamples image at 1846 3046 .032 .181 .486 .786 .810 .597 .410 .365 .358 .044 .213 .543 .860 .883 .647 .432 .358 .324 .060 .248 .598 .924 .944 .693 .454 .353 .294 .075 .280 .642 .969 .984 .723 .468 .345 .266 .089 .305 .672 .993 1.000 .737 .474 .335 .241 .098 .319 .683 .992 .995 .738 .474 .323 .218 .102 .322 .678 .974 .979 .734 .473 .313 .201 .103 .319 .663 .949 .960 .731 .478 .311 .193 .100 .308 .637 .914 .936 .730 .486 .315 .192 1846 -.250 3046 4.250 10.62984 .034875 8.176336 -.471521 Correlation Surface at 1946 3046 .261 .286 .572 .928 .802 .451 .256 .308 .152 .298 .298 .557 .950 .825 .449 .253 .304 .166 .347 .330 .553 .976 .893 .467 .229 .263 .165 .387 .372 .544 .969 .966 .500 .198 .215 .160 .400 .404 .517 .913 1.000 .528 .177 .186 .160 .381 .414 .474 .822 .965 .527 .172 .187 .169 .341 .404 .433 .725 .868 .487 .180 .215 .184 .305 .388 .409 .640 .739 .424 .195 .256 .203 .295 .378 .413 .594 .640 .371 .211 .291 .217 r_peak,r_snr = .2629523 4.23717 Correlation Surface of oversamples image at 1946 3046 10.169 6.033 4.109 3.908 2.432 10.651 6.764 4.781 4.374 2.638 11.111 7.401 5.321 4.668 2.731 12.819 8.958 6.550 5.521 3.270 1946 -9.875 3046 -5.156 4.23717 .020246 .941145 -.078306 Correlation Surface at 2046 3046 .022 .428 .403 .462 .261 .034 .496 .349 .374 .457 .047 .591 .333 .300 .683 .046 .679 .368 .253 .889 .028 .705 .454 .238 1.000 .007 .639 .553 .253 .955 .000 .503 .621 .279 .759 .014 .333 .634 .290 .495 .037 .173 .580 .272 .257 r_peak,r_snr = 9.16421E-02 5.95574 Correlation Surface of oversamples image at 2046 3046 .073 .324 .724 .892 .703 .552 .539 .482 .093 .370 .793 .944 .696 .502 .482 .463 .114 .412 .848 .975 .674 .444 .417 .434 .133 .448 .888 .989 .648 .391 .358 .405 .150 .474 .914 1.000 .635 .359 .318 .387 .158 .480 .913 .996 .627 .341 .291 .372 .150 .453 .869 .956 .605 .319 .263 .348 .132 .404 .795 .897 .577 .302 .240 .321 .115 .352 .722 .851 .573 .309 .241 .314 2046 11.313 3046 -1.219 5.95574 .016815 1.928637 -.021624 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .253 .227 .307 .576 .923 .758 .441 .334 .318 .275 .244 .297 .562 .950 .783 .454 .328 .290 .293 .274 .300 .551 .974 .810 .472 .330 .264 .299 .308 .313 .553 .993 .832 .489 .339 .245 .292 .337 .337 .577 1.000 .833 .494 .351 .235 .277 .351 .368 .620 .993 .812 .477 .356 .235 .263 .351 .399 .671 .972 .775 .440 .346 .242 .256 .346 .428 .718 .940 .737 .397 .319 .254 .262 .347 .450 .748 .901 .714 .365 .284 .265 r_peak,r_snr = .4353645 3.86968 Correlation Surface of oversamples image at 146 3446 .565 .599 .707 .872 .953 .849 .647 .499 .414 .582 .621 .733 .900 .975 .854 .633 .473 .385 .593 .639 .757 .924 .989 .852 .614 .444 .352 .603 .658 .782 .947 .999 .846 .595 .415 .320 .608 .673 .804 .963 1.000 .834 .574 .389 .291 .603 .677 .812 .963 .984 .808 .548 .362 .262 .595 .674 .810 .948 .952 .772 .519 .336 .234 .601 .683 .817 .942 .930 .749 .506 .326 .219 146 -.125 3446 4.781 3.86968 .013940 5.698625 .239829 Correlation Surface at 246 3446 .230 .393 .552 .599 .820 .830 .811 .622 .442 .245 .405 .572 .671 .889 .838 .800 .582 .403 .248 .395 .576 .747 .954 .841 .791 .536 .353 .241 .366 .566 .810 .994 .842 .777 .482 .300 .230 .333 .554 .846 1.000 .848 .756 .425 .255 .222 .310 .548 .847 .967 .852 .727 .376 .229 .222 .302 .552 .815 .902 .849 .686 .341 .222 r_peak,r_snr = .4055044 3.27528 Correlation Surface of oversamples image at 246 3446 .555 .622 .713 .831 .898 .880 .843 .843 .830 .549 .643 .755 .881 .939 .902 .853 .845 .821 .537 .656 .787 .920 .970 .920 .862 .846 .808 .522 .661 .807 .944 .991 .937 .874 .850 .797 .503 .658 .814 .952 1.000 .949 .886 .853 .784 .482 .645 .803 .938 .990 .950 .890 .848 .763 .460 .624 .777 .906 .964 .939 .886 .835 .736 .445 .604 .747 .866 .932 .926 .881 .821 .708 .437 .586 .714 .820 .894 .907 .871 .803 .680 246 -.063 3446 12.000 3.27528 .015254 .715376 .018775 Correlation Surface at 346 3446 .007 .002 .001 .160 .213 .126 .136 .034 .009 .014 .001 .015 .254 .436 .274 .183 .019 .002 .019 .005 .045 .343 .691 .468 .227 .009 .024 .019 .009 .084 .412 .902 .655 .256 .006 .040 .016 .008 .112 .438 1.000 .775 .257 .006 .035 .011 .004 .109 .408 .964 .801 .238 .011 .017 .005 .000 .076 .331 .826 .745 .206 .022 .003 .000 .005 .034 .233 .643 .642 .175 .037 .001 .002 .027 .005 .144 .472 .538 .157 .056 .011 r_peak,r_snr = .1996485 10.61538 Correlation Surface of oversamples image at 346 3446 .139 .281 .540 .780 .750 .538 .371 .258 .136 .148 .294 .576 .862 .867 .637 .427 .278 .139 .147 .295 .589 .912 .957 .723 .474 .291 .139 .133 .276 .569 .913 .997 .774 .498 .287 .132 .112 .249 .532 .882 1.000 .798 .505 .276 .122 .092 .225 .497 .846 .994 .818 .517 .271 .121 .070 .196 .454 .796 .969 .824 .521 .266 .120 .042 .154 .389 .709 .895 .785 .497 .246 .110 .021 .117 .327 .619 .805 .728 .463 .225 .101 346 -.625 3446 -10.281 10.61539 .015012 .461547 -.025317 Correlation Surface at 446 3446 .741 .635 .368 .465 .638 .574 .184 .078 .057 .695 .626 .347 .486 .765 .687 .198 .061 .043 .676 .624 .340 .522 .890 .746 .197 .051 .033 .682 .626 .347 .566 .977 .728 .182 .043 .024 .694 .626 .361 .607 1.000 .660 .159 .036 .017 .691 .617 .378 .628 .950 .579 .137 .029 .013 .658 .593 .390 .615 .840 .514 .122 .022 .012 .598 .556 .390 .567 .697 .474 .119 .017 .013 .533 .515 .380 .504 .554 .453 .129 .017 .018 r_peak,r_snr = .2513822 2.5845 Correlation Surface of oversamples image at 446 3446 .201 .232 .391 .634 .824 .831 .611 .314 .115 .198 .236 .419 .694 .895 .883 .637 .324 .117 .196 .240 .444 .748 .950 .910 .641 .323 .116 .202 .252 .474 .795 .986 .914 .628 .315 .114 .213 .268 .504 .831 1.000 .894 .599 .299 .110 .223 .283 .526 .846 .984 .848 .553 .275 .101 .231 .296 .538 .840 .942 .782 .497 .246 .089 .245 .313 .549 .822 .887 .713 .445 .218 .077 .260 .330 .554 .792 .824 .643 .397 .194 .066 446 7.063 3446 9.906 2.58450 .017573 .979885 .086117 Correlation Surface at 546 3446 .009 .060 .224 .644 .569 .201 .089 .015 .002 .015 .039 .174 .690 .718 .288 .080 .009 .002 .022 .022 .124 .711 .854 .406 .095 .013 .000 .026 .011 .085 .703 .954 .527 .127 .028 .009 .022 .004 .061 .674 1.000 .615 .166 .054 .041 .013 .001 .049 .633 .996 .651 .195 .077 .089 .004 .000 .045 .600 .956 .635 .209 .083 .126 .000 .002 .047 .581 .904 .591 .215 .076 .138 .000 .004 .053 .552 .829 .545 .233 .068 .128 r_peak,r_snr = .2253979 9.11964 Correlation Surface of oversamples image at 546 3446 .061 .246 .572 .821 .889 .857 .775 .603 .393 .050 .233 .579 .855 .931 .887 .791 .615 .408 .046 .233 .596 .892 .970 .911 .801 .623 .420 .047 .239 .616 .923 .998 .924 .803 .624 .426 .049 .244 .626 .934 1.000 .914 .786 .609 .419 .052 .253 .633 .931 .984 .889 .761 .588 .405 .061 .272 .651 .933 .970 .872 .749 .581 .401 .073 .294 .664 .924 .946 .851 .739 .579 .400 .077 .300 .648 .879 .886 .801 .708 .560 .384 546 .906 3446 2.281 9.11964 .032403 2.737664 -.227829 Correlation Surface at 646 3446 .136 .064 .077 .329 .743 .556 .137 .028 .010 .127 .087 .130 .432 .805 .498 .115 .049 .001 .097 .089 .174 .548 .885 .458 .097 .074 .003 .056 .070 .201 .666 .958 .440 .095 .096 .023 .019 .041 .209 .768 1.000 .421 .095 .095 .044 .001 .014 .197 .837 .997 .384 .092 .070 .051 .005 .001 .165 .858 .947 .323 .081 .039 .044 .023 .005 .120 .819 .865 .252 .057 .015 .035 .038 .020 .070 .720 .778 .190 .028 .003 .029 r_peak,r_snr = .1962008 8.87774 Correlation Surface of oversamples image at 646 3446 .284 1.003 2.374 3.546 3.452 2.299 1.045 .357 .141 .227 .909 2.327 3.639 3.593 2.340 .996 .296 .095 .149 .744 2.138 3.562 3.620 2.346 .947 .241 .052 .111 .648 2.036 3.593 3.806 2.537 1.036 .252 .042 646 -.656 3446 10.813 8.87774 .044422 5.113875 .399318 Correlation Surface at 746 3446 .060 .024 .054 .290 .878 .699 .679 .485 .390 .048 .023 .062 .281 .909 .717 .667 .568 .497 .039 .018 .070 .286 .942 .737 .667 .662 .614 .034 .011 .074 .300 .978 .752 .663 .734 .717 .034 .005 .073 .318 1.000 .753 .644 .756 .782 .039 .004 .075 .334 .990 .737 .611 .727 .802 .052 .009 .088 .345 .929 .702 .581 .667 .792 r_peak,r_snr = .1858874 3.69453 Correlation Surface of oversamples image at 746 3446 .274 .379 .521 .637 .676 .273 .379 .544 .711 .797 .281 .387 .569 .771 .897 .296 .403 .594 .814 .967 .318 .424 .617 .836 1.000 .339 .444 .630 .834 .993 .357 .461 .634 .810 .953 .386 .487 .646 .788 .906 .418 .517 .660 .764 .853 746 2.719 3446 12.250 3.69453 .013776 9.184093 .159269 Correlation Surface at 846 3446 .306 .231 .003 .052 .200 .020 .029 .062 .014 .363 .269 .004 .108 .385 .050 .014 .040 .016 .345 .234 .004 .176 .632 .110 .003 .025 .029 .287 .158 .002 .220 .871 .171 .001 .017 .052 .220 .086 .000 .215 1.000 .190 .004 .013 .072 .164 .037 .003 .165 .965 .154 .019 .007 .074 .115 .008 .020 .098 .787 .092 .038 .001 .056 .062 .001 .060 .045 .545 .045 .037 .001 .031 .018 .030 .118 .016 .325 .026 .013 .014 .013 r_peak,r_snr = .1197955 11.01598 Correlation Surface of oversamples image at 846 3446 .000 .123 .511 .809 .652 .198 .000 .087 .175 .000 .111 .518 .887 .781 .275 .002 .086 .194 .001 .093 .499 .927 .889 .353 .008 .088 .220 .004 .074 .459 .928 .964 .418 .013 .098 .258 .008 .053 .402 .890 1.000 .462 .015 .118 .306 .015 .032 .334 .822 .998 .484 .014 .143 .360 .022 .019 .276 .751 .981 .500 .014 .164 .403 .027 .010 .228 .681 .947 .503 .013 .183 .439 .034 .004 .177 .592 .873 .477 .009 .207 .478 846 -4.188 3446 -5.656 11.01599 .008808 .972489 -.009959 Correlation Surface at 946 3446 .005 .006 .039 .049 .483 .321 .144 .233 .236 .000 .012 .037 .077 .641 .374 .111 .204 .201 .008 .030 .040 .110 .812 .453 .084 .162 .146 .036 .067 .042 .142 .947 .538 .068 .128 .097 .082 .119 .044 .164 1.000 .588 .058 .110 .071 .126 .178 .047 .172 .961 .571 .048 .104 .066 .143 .227 .052 .171 .857 .480 .036 .105 .081 .124 .244 .055 .164 .728 .348 .025 .110 .115 .084 .225 .054 .155 .597 .218 .018 .111 .155 r_peak,r_snr = .1536759 5.92748 Correlation Surface of oversamples image at 946 3446 .053 .000 .141 .542 .751 .509 .194 .060 .035 .063 .000 .156 .602 .839 .577 .218 .064 .038 .074 .000 .171 .652 .914 .643 .247 .071 .042 .084 .000 .185 .692 .970 .698 .275 .080 .047 .093 .000 .199 .717 1.000 .735 .299 .088 .052 .096 .000 .213 .724 .999 .751 .317 .095 .056 .094 .001 .224 .711 .967 .740 .325 .099 .055 .093 .002 .228 .677 .902 .698 .314 .095 .050 .091 .003 .226 .630 .817 .634 .287 .084 .040 946 .000 3446 -3.750 5.92748 .008687 1.771682 .009091 Correlation Surface at 1046 3446 .025 .000 .311 .656 .465 .227 .274 .402 .443 .027 .005 .377 .736 .627 .290 .238 .293 .407 .020 .023 .424 .820 .789 .348 .193 .172 .289 .007 .049 .429 .895 .933 .385 .144 .076 .151 .000 .074 .381 .913 1.000 .386 .096 .021 .055 .007 .092 .305 .848 .963 .352 .053 .002 .014 .026 .102 .231 .709 .824 .291 .022 .001 .005 .050 .113 .179 .543 .620 .221 .005 .004 .008 .072 .132 .154 .396 .412 .155 .000 .005 .024 r_peak,r_snr = .1781214 7.40046 Correlation Surface of oversamples image at 1046 3446 .023 .545 1.820 3.257 4.000 3.769 2.854 1.822 1.211 .034 .575 1.831 3.223 3.972 3.848 3.041 2.000 1.297 .043 .586 1.804 3.149 3.907 3.878 3.174 2.144 1.366 .060 .608 1.773 3.049 3.801 3.844 3.234 2.226 1.391 .079 .620 1.706 2.896 3.639 3.743 3.210 2.229 1.355 1046 -5.844 3446 -11.781 7.40046 .019862 .977583 .000947 Correlation Surface at 1146 3446 .090 .013 .026 .033 .103 .002 .017 .062 .070 .070 .027 .000 .119 .317 .043 .094 .049 .005 .043 .031 .007 .217 .621 .217 .213 .025 .023 .024 .025 .020 .272 .890 .457 .303 .005 .141 .017 .017 .030 .273 1.000 .668 .343 .000 .302 .023 .016 .047 .255 .927 .796 .373 .000 .410 .038 .025 .083 .242 .727 .820 .439 .003 .408 .057 .049 .146 .231 .484 .741 .572 .039 .322 .072 .091 .224 .220 .280 .599 .766 .144 .209 r_peak,r_snr = 9.92628E-02 7.15479 Correlation Surface of oversamples image at 1146 3446 .259 .406 .682 .922 .759 .343 .112 .037 .003 .279 .417 .697 .979 .865 .441 .166 .061 .009 .289 .414 .688 .998 .937 .531 .227 .092 .018 .295 .405 .664 .987 .978 .611 .294 .132 .033 .305 .399 .638 .961 1.000 .687 .373 .186 .059 .314 .389 .600 .910 .991 .746 .456 .254 .097 .313 .367 .540 .821 .935 .769 .527 .326 .141 .307 .339 .472 .712 .844 .755 .578 .395 .191 .321 .332 .428 .626 .764 .742 .637 .485 .265 1146 10.250 3446 5.969 7.15479 .042717 1.330070 -.132148 Correlation Surface at 1246 3446 .442 .422 .502 .746 .828 .546 .334 .321 .404 .423 .419 .512 .768 .874 .604 .368 .336 .391 .406 .418 .533 .802 .926 .675 .415 .356 .378 .390 .418 .558 .841 .972 .743 .466 .374 .369 .378 .418 .581 .873 1.000 .787 .511 .385 .362 .369 .415 .595 .883 .999 .797 .538 .387 .355 .365 .411 .598 .870 .974 .774 .543 .380 .344 .364 .409 .594 .843 .936 .729 .527 .365 .329 .364 .408 .589 .819 .899 .674 .495 .350 .313 r_peak,r_snr = .5069072 2.37726 Correlation Surface of oversamples image at 1246 3446 .481 .615 .783 .916 .935 .828 .661 .506 .399 .492 .634 .811 .947 .965 .860 .693 .535 .422 .501 .651 .833 .971 .988 .884 .720 .561 .444 .507 .663 .848 .985 1.000 .898 .737 .580 .460 .510 .671 .855 .988 1.000 .900 .744 .591 .471 .512 .675 .856 .984 .991 .893 .743 .595 .477 .513 .677 .852 .971 .975 .877 .733 .591 .476 .511 .673 .841 .950 .948 .851 .712 .578 .467 .507 .668 .827 .925 .916 .817 .682 .555 .451 1246 -.219 3446 4.813 2.37726 .006381 .611788 -.007758 Correlation Surface at 1346 3446 .187 .339 .500 .847 .938 .545 .195 .070 .012 .186 .341 .491 .835 .966 .586 .203 .071 .012 .184 .344 .484 .813 .985 .636 .220 .076 .015 .181 .349 .485 .789 .997 .688 .246 .087 .020 .177 .357 .494 .772 1.000 .730 .279 .103 .027 .175 .370 .514 .762 .992 .755 .316 .124 .035 .171 .383 .539 .760 .970 .756 .349 .146 .043 .166 .393 .568 .761 .934 .737 .372 .166 .051 .159 .397 .593 .765 .886 .700 .383 .182 .059 r_peak,r_snr = .5698872 4.9723 Correlation Surface of oversamples image at 1346 3446 .455 .566 .739 .913 .993 .921 .710 .456 .261 .452 .554 .722 .901 .995 .940 .738 .481 .277 .453 .545 .706 .888 .995 .954 .762 .505 .295 .458 .544 .699 .881 .997 .968 .785 .528 .312 .469 .550 .698 .879 1.000 .979 .804 .549 .330 .484 .559 .701 .878 .999 .983 .815 .566 .347 .502 .574 .708 .877 .995 .979 .818 .578 .363 .525 .596 .723 .883 .992 .974 .818 .588 .379 .551 .622 .742 .890 .989 .964 .812 .594 .393 1346 .188 3446 2.281 4.97230 .010670 3.019068 -.158437 Correlation Surface at 1446 3446 .146 .061 .082 .611 .340 .254 .069 .026 .009 .121 .096 .022 .567 .473 .182 .007 .007 .002 .073 .097 .003 .567 .672 .139 .003 .002 .000 .034 .071 .000 .570 .877 .120 .017 .002 .002 .014 .038 .000 .559 1.000 .117 .023 .003 .014 .009 .015 .004 .540 .976 .116 .017 .005 .041 .013 .005 .020 .538 .844 .113 .006 .005 .065 .024 .003 .049 .567 .696 .116 .000 .004 .078 .030 .006 .079 .618 .591 .136 .006 .004 .086 r_peak,r_snr = .1175833 5.26849 Correlation Surface of oversamples image at 1446 3446 .001 .080 .409 .820 .900 .602 .229 .035 .004 .001 .089 .431 .856 .946 .637 .240 .034 .002 .000 .105 .457 .877 .970 .667 .262 .040 .001 .001 .140 .508 .909 .997 .711 .304 .059 .003 .007 .190 .566 .926 1.000 .745 .356 .090 .008 .014 .228 .584 .874 .925 .720 .383 .117 .012 .020 .256 .575 .780 .803 .654 .390 .141 .017 .044 .335 .635 .762 .753 .649 .448 .200 .036 1446 .844 3446 5.781 5.26849 .012362 1.252190 -.005237 Correlation Surface at 1546 3446 .016 .103 .404 .823 .942 .548 .324 .268 .182 .007 .084 .398 .847 .974 .587 .345 .280 .188 .004 .069 .368 .832 .992 .637 .376 .293 .184 .003 .062 .329 .788 1.000 .691 .416 .300 .169 .005 .062 .293 .727 .996 .735 .461 .299 .145 .009 .065 .265 .671 .983 .752 .490 .285 .118 .017 .071 .244 .636 .966 .737 .481 .261 .095 .026 .078 .232 .627 .962 .691 .429 .232 .084 r_peak,r_snr = .314714 4.72845 Correlation Surface of oversamples image at 1546 3446 .236 .379 .576 .784 .920 .914 .781 .612 .491 .226 .375 .586 .811 .954 .945 .805 .632 .506 .217 .370 .591 .829 .980 .968 .827 .655 .527 .209 .362 .587 .836 .995 .983 .843 .676 .550 .202 .352 .578 .834 1.000 .991 .856 .698 .576 .198 .344 .565 .823 .995 .992 .866 .721 .607 .196 .336 .550 .806 .982 .987 .873 .744 .641 .193 .327 .530 .782 .963 .978 .877 .764 .674 .189 .315 .507 .753 .940 .965 .876 .779 .701 1546 -.250 3446 -12.750 4.72845 .983425 85.442970 -9.115058 Correlation Surface at 1646 3446 .192 .237 .181 .429 .948 .555 .254 .255 .215 .244 .279 .159 .385 .974 .604 .276 .318 .247 .265 .295 .139 .346 .974 .652 .296 .385 .280 .254 .295 .136 .332 .983 .704 .319 .460 .320 .225 .299 .156 .344 1.000 .752 .349 .535 .367 .192 .311 .196 .365 .988 .776 .383 .596 .412 .160 .318 .235 .366 .907 .748 .411 .630 .450 .130 .298 .252 .338 .752 .665 .422 .632 .472 .097 .236 .230 .287 .563 .548 .397 .592 .468 r_peak,r_snr = .1818064 6.34047 Correlation Surface of oversamples image at 1646 3446 .112 .274 .626 .960 .953 .644 .399 .332 .363 .108 .273 .624 .956 .960 .664 .418 .353 .399 .109 .280 .634 .965 .975 .689 .441 .377 .435 .114 .294 .652 .980 .993 .713 .463 .401 .467 .118 .305 .667 .987 1.000 .728 .481 .420 .491 .125 .317 .678 .987 .997 .736 .496 .436 .506 .140 .339 .699 .993 .998 .744 .513 .454 .519 .161 .364 .716 .988 .982 .740 .524 .467 .526 .171 .368 .694 .937 .923 .700 .506 .456 .504 1646 1.250 3446 -7.594 6.34047 .012899 11.997103 -.083439 Correlation Surface at 1746 3446 .017 .000 .090 .435 .838 .624 .351 .173 .089 .013 .000 .105 .493 .895 .660 .367 .204 .123 .009 .001 .110 .541 .947 .699 .387 .239 .176 .005 .003 .104 .569 .988 .734 .413 .273 .242 .001 .003 .092 .567 1.000 .757 .444 .300 .300 .000 .002 .079 .527 .968 .757 .474 .312 .320 .002 .000 .071 .457 .890 .731 .495 .303 .286 .008 .002 .067 .367 .775 .681 .497 .274 .215 .015 .010 .067 .275 .643 .616 .474 .234 .139 r_peak,r_snr = .2664449 7.10318 Correlation Surface of oversamples image at 1746 3446 .228 .432 .690 .899 .927 .797 .637 .459 .286 .229 .440 .711 .929 .958 .820 .651 .467 .296 .225 .443 .725 .952 .981 .838 .661 .474 .304 .219 .441 .731 .965 .996 .852 .670 .480 .312 .212 .432 .727 .964 1.000 .861 .678 .485 .318 .200 .414 .707 .944 .987 .860 .681 .487 .319 .187 .391 .674 .906 .959 .849 .680 .488 .319 .176 .366 .635 .860 .922 .837 .685 .495 .321 .166 .339 .589 .803 .877 .819 .689 .504 .324 1746 .313 3446 2.844 7.10318 .011750 1.976818 -.057793 Correlation Surface at 1846 3446 .028 .175 .406 .674 .663 .538 .363 .152 .174 .029 .153 .379 .733 .785 .587 .360 .145 .167 .034 .145 .339 .763 .905 .642 .353 .134 .159 .038 .150 .294 .747 .985 .691 .347 .124 .159 .039 .162 .253 .685 1.000 .726 .346 .117 .171 .036 .174 .220 .596 .956 .742 .350 .113 .188 .031 .176 .193 .506 .879 .741 .363 .113 .203 .026 .169 .171 .429 .800 .732 .390 .120 .208 .025 .161 .156 .372 .740 .721 .426 .134 .201 r_peak,r_snr = .2753884 5.70807 Correlation Surface of oversamples image at 1846 3446 1.265 1.938 2.883 3.711 3.966 3.542 2.716 1.745 .929 1.192 1.828 2.777 3.643 3.959 3.601 2.796 1.805 .956 1.106 1.694 2.630 3.516 3.879 3.588 2.822 1.832 .966 1.092 1.650 2.593 3.513 3.917 3.679 2.948 1.948 1.045 1846 .594 3446 7.813 5.70807 .025193 1.215214 -.125656 Correlation Surface at 1946 3446 .198 .254 .469 .748 .818 .556 .249 .108 .058 .182 .232 .470 .785 .872 .625 .276 .118 .065 .168 .208 .458 .815 .935 .697 .308 .125 .076 .161 .189 .444 .832 .985 .748 .339 .131 .088 .160 .181 .440 .835 1.000 .759 .360 .138 .098 .164 .188 .454 .826 .972 .730 .371 .145 .102 .168 .208 .483 .808 .910 .676 .371 .152 .102 .171 .239 .520 .781 .830 .614 .364 .158 .097 r_peak,r_snr = .3367097 3.85526 Correlation Surface of oversamples image at 1946 3446 .436 .643 .827 .952 .974 .851 .610 .345 .142 .432 .646 .837 .963 .986 .868 .632 .364 .151 .426 .648 .847 .975 .995 .881 .650 .382 .161 .414 .644 .853 .983 1.000 .887 .663 .397 .170 .401 .637 .857 .989 1.000 .887 .670 .409 .180 .390 .634 .863 .995 .998 .882 .673 .420 .191 .382 .633 .870 .999 .990 .871 .669 .428 .202 .376 .633 .874 .996 .975 .850 .658 .431 .211 .375 .635 .876 .990 .955 .825 .642 .431 .220 1946 -.219 3446 10.250 3.85526 .014766 1.088548 .009870 Correlation Surface at 2046 3446 .143 .136 .448 .035 .222 .008 .157 .102 .253 .690 .093 .146 .006 .113 .097 .423 .884 .135 .075 .000 .106 .113 .616 .999 .135 .032 .019 .143 .132 .737 1.000 .101 .015 .083 .214 .126 .693 .875 .053 .013 .163 .287 .094 .491 .639 .015 .021 .207 .303 .055 .236 .347 .000 .029 .197 .241 .025 .056 .104 .009 .032 .153 .133 r_peak,r_snr = .1277548 7.79272 Correlation Surface of oversamples image at 2046 3446 .137 .103 .186 .468 .793 .842 .520 .092 .022 .149 .125 .234 .549 .864 .858 .505 .090 .014 .158 .145 .281 .624 .923 .864 .482 .083 .010 .171 .168 .330 .696 .977 .868 .458 .073 .007 .179 .186 .366 .741 1.000 .851 .422 .057 .008 .173 .184 .369 .734 .971 .800 .369 .037 .013 .159 .172 .350 .691 .905 .728 .311 .019 .022 .154 .164 .329 .638 .829 .658 .262 .008 .034 .148 .151 .295 .564 .728 .572 .212 .002 .051 2046 -13.406 3446 -.094 7.79272 .017800 1.493538 .089768 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .227 .352 .537 .807 .786 .762 .396 .139 .155 .222 .332 .501 .793 .856 .696 .362 .149 .144 .231 .310 .438 .734 .926 .640 .330 .170 .149 .253 .293 .376 .658 .978 .607 .307 .197 .162 .277 .284 .330 .593 1.000 .604 .299 .224 .177 .287 .276 .307 .547 .983 .634 .309 .248 .187 .269 .262 .304 .523 .944 .693 .338 .264 .192 .221 .239 .317 .520 .906 .770 .382 .273 .194 .160 .213 .339 .539 .892 .853 .436 .281 .197 r_peak,r_snr = .3212985 4.99658 Correlation Surface of oversamples image at 146 3846 3.205 2.536 1.873 1.285 .629 3.538 2.768 1.878 1.152 .502 3.801 2.968 1.884 1.047 .408 3.950 3.113 1.890 .974 .348 4.000 3.230 1.940 .965 .339 3.885 3.255 1.988 .991 .366 3.487 3.060 1.929 .980 .388 2.878 2.682 1.772 .932 .401 2.399 2.422 1.737 .995 .500 146 -3.844 3846 3.656 4.99658 .009386 1.724385 -.087669 Correlation Surface at 246 3846 .131 .144 .384 .532 .747 .680 .310 .088 .026 .127 .126 .371 .580 .839 .732 .313 .096 .032 .132 .106 .330 .622 .929 .773 .311 .102 .037 .146 .095 .290 .652 .991 .787 .306 .106 .041 .163 .098 .271 .665 1.000 .759 .291 .104 .039 .171 .116 .276 .659 .947 .687 .265 .096 .032 .165 .144 .301 .634 .852 .590 .232 .089 .025 .144 .170 .326 .595 .750 .494 .201 .090 .021 .115 .180 .332 .545 .667 .418 .182 .103 .022 r_peak,r_snr = .2965911 5.78177 Correlation Surface of oversamples image at 246 3846 .167 .324 .529 .751 .898 .882 .701 .459 .250 .158 .323 .542 .781 .942 .924 .722 .455 .237 .150 .321 .551 .804 .975 .955 .734 .447 .222 .146 .321 .558 .818 .995 .971 .735 .433 .207 .149 .326 .564 .824 1.000 .972 .727 .417 .192 .157 .334 .568 .819 .988 .953 .706 .397 .176 .169 .343 .564 .798 .953 .911 .666 .367 .158 .184 .351 .555 .766 .903 .852 .614 .332 .139 .206 .366 .551 .737 .854 .795 .565 .302 .125 246 .188 3846 -2.781 5.78177 .013044 .786874 .043330 Correlation Surface at 346 3846 .012 .014 .013 .056 .608 .418 .005 .005 .001 .019 .016 .014 .079 .719 .468 .013 .000 .006 .030 .022 .022 .118 .845 .495 .018 .001 .048 .040 .031 .036 .170 .951 .497 .017 .005 .123 .039 .048 .055 .223 1.000 .470 .015 .005 .190 .026 .080 .081 .264 .963 .408 .014 .000 .203 .009 .133 .117 .280 .842 .313 .015 .005 .150 .000 .207 .164 .267 .655 .201 .017 .026 .068 .008 .290 .219 .226 .436 .096 .017 .053 .011 r_peak,r_snr = .1609113 10.16435 Correlation Surface of oversamples image at 346 3846 .033 .133 .405 .756 .859 .594 .244 .054 .003 .032 .138 .435 .819 .918 .619 .247 .052 .001 .030 .141 .458 .867 .959 .630 .242 .046 .000 .029 .143 .474 .900 .985 .630 .231 .041 .000 .030 .146 .486 .924 1.000 .626 .221 .037 .000 .032 .149 .494 .934 1.000 .616 .211 .034 .000 .035 .151 .493 .923 .976 .594 .200 .032 .000 .039 .154 .487 .896 .934 .564 .189 .031 .000 .048 .161 .483 .865 .888 .535 .184 .035 .002 346 .313 3846 3.813 10.16435 .013133 2.018681 .104800 Correlation Surface at 446 3846 .241 .227 .284 .662 .778 .479 .382 .387 .320 .296 .312 .359 .734 .820 .524 .445 .443 .373 .325 .396 .452 .833 .888 .593 .518 .512 .433 .326 .454 .540 .934 .963 .672 .586 .579 .489 .307 .467 .583 .980 1.000 .719 .612 .618 .518 .272 .435 .573 .955 .981 .713 .576 .615 .514 .234 .373 .532 .885 .912 .650 .489 .574 .495 .201 .305 .490 .803 .819 .556 .386 .513 .481 .173 .245 .468 .732 .725 .463 .295 .457 .487 r_peak,r_snr = .2550689 3.08669 Correlation Surface of oversamples image at 446 3846 .160 .255 .452 .715 .867 .746 .460 .228 .148 .189 .287 .487 .758 .912 .776 .474 .237 .156 .224 .327 .529 .805 .956 .802 .487 .247 .169 .257 .364 .566 .842 .988 .818 .494 .256 .182 .281 .389 .588 .860 1.000 .820 .494 .262 .193 .297 .404 .595 .860 .996 .814 .492 .267 .202 .307 .410 .589 .846 .980 .800 .486 .270 .210 .306 .401 .566 .812 .947 .778 .476 .270 .215 .291 .374 .522 .755 .894 .742 .459 .265 .215 446 -4.531 3846 1.250 3.08669 .049344 1.364544 -.034196 Correlation Surface at 546 3846 .000 .011 .187 .522 .728 .404 .161 .105 .013 .000 .020 .201 .563 .824 .441 .140 .085 .017 .000 .026 .187 .565 .919 .495 .125 .062 .017 .001 .026 .148 .527 .982 .550 .118 .044 .017 .003 .020 .099 .463 1.000 .586 .119 .034 .017 .006 .011 .057 .389 .967 .590 .125 .036 .021 .007 .005 .030 .322 .887 .567 .137 .047 .030 .005 .002 .017 .275 .792 .539 .150 .066 .047 .002 .001 .014 .252 .716 .524 .159 .083 .069 r_peak,r_snr = .2767547 9.98983 Correlation Surface of oversamples image at 546 3846 .168 .369 .642 .862 .907 .743 .420 .144 .035 .152 .331 .608 .867 .951 .792 .450 .156 .037 .133 .290 .562 .854 .980 .831 .477 .170 .040 .115 .251 .514 .831 .997 .863 .502 .184 .045 .097 .215 .465 .797 1.000 .883 .519 .196 .050 .079 .181 .414 .751 .981 .882 .523 .202 .053 .063 .151 .367 .698 .946 .867 .516 .202 .055 .051 .130 .330 .652 .911 .849 .509 .203 .058 .043 .114 .300 .609 .873 .828 .499 .201 .060 546 .094 3846 .969 9.98983 .010524 1.509777 -.091304 Correlation Surface at 646 3846 .036 .000 .000 .045 .344 .378 .225 .054 .048 .065 .000 .000 .094 .574 .543 .265 .073 .015 .106 .005 .005 .181 .810 .695 .312 .103 .002 .150 .022 .028 .304 .967 .789 .366 .147 .000 .195 .065 .080 .448 1.000 .801 .425 .208 .000 .240 .142 .166 .597 .924 .734 .489 .289 .008 .284 .247 .277 .738 .795 .634 .559 .388 .041 .319 .353 .387 .844 .660 .537 .619 .488 .112 .338 .433 .462 .900 .553 .456 .646 .560 .204 r_peak,r_snr = .1488522 6.16296 Correlation Surface of oversamples image at 646 3846 .900 .578 .774 1.683 3.008 3.534 2.842 1.815 1.169 1.088 .739 .964 1.955 3.230 3.483 2.528 1.468 .929 1.189 .837 1.092 2.132 3.321 3.304 2.156 1.130 .709 1.374 1.018 1.331 2.471 3.626 3.366 2.021 .989 .643 646 .156 3846 1.813 6.16296 .076658 1.952380 .311323 Correlation Surface at 746 3846 .058 .094 .154 .550 .779 .388 .230 .204 .162 .086 .124 .192 .650 .846 .384 .209 .185 .148 .110 .152 .239 .761 .927 .392 .192 .163 .120 .123 .176 .288 .844 .991 .403 .176 .135 .083 .123 .200 .332 .860 1.000 .411 .162 .103 .049 .109 .224 .364 .791 .939 .410 .151 .073 .023 .087 .248 .381 .665 .824 .399 .142 .050 .009 .066 .265 .385 .527 .691 .378 .138 .037 .004 .049 .271 .379 .418 .582 .360 .140 .035 .004 r_peak,r_snr = .2664233 7.84677 Correlation Surface of oversamples image at 746 3846 .129 .180 .359 .644 .855 .849 .674 .503 .432 .146 .204 .396 .692 .904 .887 .702 .526 .447 .168 .232 .434 .737 .948 .921 .728 .549 .463 .194 .264 .469 .773 .980 .946 .748 .568 .474 .225 .298 .502 .799 1.000 .960 .760 .581 .481 .258 .333 .528 .808 .999 .957 .761 .586 .481 .294 .367 .544 .797 .972 .933 .747 .581 .473 .337 .403 .555 .773 .929 .896 .725 .570 .461 .382 .439 .558 .736 .870 .845 .695 .553 .445 746 -.344 3846 2.188 7.84677 .008449 .783482 -.017059 Correlation Surface at 846 3846 .235 .120 .007 .030 .197 .330 .083 .151 .305 .351 .252 .030 .066 .407 .524 .146 .167 .278 .398 .351 .051 .127 .688 .692 .195 .153 .187 .362 .367 .050 .196 .930 .766 .216 .129 .092 .275 .298 .027 .238 1.000 .703 .200 .106 .032 .182 .176 .004 .226 .873 .543 .155 .085 .008 .109 .060 .001 .178 .660 .388 .105 .058 .002 .062 .005 .010 .127 .480 .293 .067 .030 .003 .040 .003 .012 .092 .383 .265 .046 .010 .005 r_peak,r_snr = .1177458 8.41435 Correlation Surface of oversamples image at 846 3846 .134 .226 .457 .729 .814 .662 .375 .139 .059 .161 .257 .509 .810 .899 .721 .405 .150 .063 .172 .273 .542 .862 .955 .759 .425 .159 .066 .174 .280 .560 .894 .991 .789 .446 .171 .072 .164 .275 .558 .894 1.000 .803 .459 .181 .077 .138 .249 .523 .850 .962 .780 .447 .178 .076 .104 .212 .467 .776 .893 .733 .419 .166 .069 .077 .182 .417 .708 .833 .699 .405 .163 .067 .055 .153 .367 .638 .775 .669 .395 .164 .066 846 1.906 3846 3.813 8.41435 .024283 .743977 .053520 Correlation Surface at 1046 3846 .308 .549 .314 .400 .592 .475 .201 .299 .595 .280 .557 .336 .460 .719 .439 .132 .234 .597 .239 .552 .360 .507 .846 .439 .124 .225 .588 .185 .530 .386 .531 .948 .483 .179 .269 .560 .130 .489 .411 .528 1.000 .573 .316 .372 .510 r_peak,r_snr = .1759793 2.52799 Correlation Surface of oversamples image at 1046 3846 2.931 2.448 2.153 2.505 2.920 2.701 2.131 2.895 2.590 2.406 2.838 3.284 2.966 2.190 2.838 2.688 2.594 3.066 3.512 3.119 2.189 2.908 2.873 2.845 3.331 3.769 3.316 2.260 1046 12.563 3846 17.813 2.52799 .039919 3.390432 -.294059 Correlation Surface at 1246 3846 .708 .819 .895 .877 .889 .836 .743 .662 .603 .699 .807 .894 .908 .934 .868 .747 .664 .623 .689 .785 .879 .932 .969 .884 .739 .662 .644 .680 .758 .855 .946 .993 .884 .719 .660 .664 .673 .731 .829 .950 1.000 .868 .695 .661 .680 .665 .708 .805 .941 .990 .841 .671 .664 .690 .659 .692 .786 .922 .966 .814 .653 .667 .690 .658 .687 .777 .897 .933 .794 .645 .669 .678 .660 .692 .777 .869 .896 .783 .646 .664 .654 r_peak,r_snr = .5764066 1.40439 Correlation Surface of oversamples image at 1246 3846 .839 .883 .917 .949 .972 .954 .877 .774 .690 .828 .882 .925 .963 .988 .969 .887 .776 .688 .813 .877 .928 .970 .996 .976 .889 .773 .682 .797 .869 .928 .974 .999 .976 .885 .766 .675 .783 .862 .928 .976 1.000 .974 .879 .758 .669 .770 .854 .926 .975 .997 .968 .871 .750 .664 .756 .843 .918 .968 .987 .954 .857 .738 .659 .742 .828 .904 .954 .971 .936 .840 .726 .653 .730 .814 .889 .938 .954 .918 .825 .716 .650 1246 8.063 3846 -.813 1.40439 .014542 .960558 .056334 Correlation Surface at 1346 3846 .319 .445 .582 .787 .985 .723 .364 .255 .198 .312 .466 .648 .848 1.000 .711 .378 .283 .223 .312 .484 .717 .903 .992 .698 .399 .312 .246 .317 .490 .764 .938 .965 .683 .421 .340 .269 .326 .486 .777 .947 .928 .672 .441 .362 .290 .337 .479 .760 .932 .895 .667 .455 .375 .308 r_peak,r_snr = .4193719 2.8491 Correlation Surface of oversamples image at 1346 3846 .306 .401 .576 .792 .932 .874 .627 .347 .173 .323 .426 .609 .828 .959 .886 .628 .346 .175 .348 .459 .647 .863 .980 .889 .622 .343 .176 .384 .502 .692 .898 .995 .885 .612 .337 .177 .426 .551 .737 .928 1.000 .871 .594 .328 .177 .467 .597 .777 .946 .992 .846 .571 .317 .176 .505 .642 .812 .957 .975 .816 .546 .307 .176 .544 .687 .847 .967 .960 .789 .527 .302 .180 .577 .728 .877 .971 .941 .762 .510 .301 .186 1346 -.094 3846 -13.813 2.84910 .026171 2.583447 .222218 Correlation Surface at 1446 3846 .232 .372 .458 .650 .866 .603 .497 .506 .340 .243 .361 .430 .651 .893 .611 .496 .517 .328 .264 .361 .400 .645 .936 .643 .506 .514 .306 .297 .376 .377 .635 .980 .684 .512 .486 .280 .334 .403 .367 .624 1.000 .710 .501 .435 .255 .366 .431 .368 .608 .978 .706 .469 .376 .234 .383 .448 .378 .590 .914 .676 .427 .323 .220 .376 .446 .390 .571 .822 .632 .387 .287 .210 .351 .427 .399 .547 .722 .585 .357 .269 .201 r_peak,r_snr = .4408417 3.98275 Correlation Surface of oversamples image at 1446 3846 .450 .529 .692 .872 .917 .781 .584 .463 .429 .441 .524 .697 .896 .954 .816 .608 .476 .434 .434 .518 .699 .912 .981 .844 .629 .488 .437 .428 .512 .698 .920 .998 .862 .645 .497 .436 .423 .506 .693 .918 1.000 .868 .652 .500 .430 .419 .498 .681 .902 .984 .858 .649 .496 .419 .414 .489 .663 .873 .951 .834 .635 .486 .403 .411 .480 .642 .836 .907 .798 .614 .469 .383 .408 .471 .618 .791 .852 .753 .584 .448 .360 1446 -.063 3846 2.813 3.98275 .003371 .475145 -.010572 Correlation Surface at 1546 3846 .121 .140 .258 .579 .770 .538 .295 .179 .121 .082 .105 .260 .636 .853 .554 .285 .174 .134 .064 .091 .274 .695 .932 .567 .274 .159 .133 .064 .097 .300 .746 .987 .573 .264 .139 .121 .078 .122 .330 .773 1.000 .563 .255 .123 .107 .101 .159 .358 .776 .969 .539 .253 .117 .097 .128 .196 .374 .755 .912 .518 .263 .127 .098 .153 .220 .380 .719 .851 .516 .285 .152 .110 .175 .224 .377 .685 .805 .535 .319 .192 .132 r_peak,r_snr = .2792796 5.30872 Correlation Surface of oversamples image at 1546 3846 .103 .229 .433 .681 .879 .901 .735 .526 .380 .105 .244 .466 .725 .923 .939 .756 .530 .375 .111 .263 .500 .765 .956 .960 .764 .526 .365 .125 .288 .538 .804 .983 .973 .766 .521 .357 .145 .319 .576 .836 1.000 .976 .763 .514 .350 .168 .349 .606 .855 .999 .961 .747 .503 .342 .195 .378 .629 .861 .983 .933 .724 .491 .336 .228 .412 .651 .862 .962 .905 .708 .488 .341 .263 .444 .667 .855 .934 .875 .696 .494 .355 1546 -.313 3846 1.125 5.30872 .010732 1.722766 .049355 Correlation Surface at 1746 3846 .044 .267 .679 .928 .615 .046 .009 .024 .035 .019 .195 .576 .971 .760 .073 .008 .028 .029 .012 .142 .439 .958 .877 .104 .003 .019 .015 .017 .114 .299 .881 .963 .139 .000 .004 .004 .041 .108 .181 .750 1.000 .173 .011 .001 .000 .088 .120 .103 .603 .960 .198 .044 .020 .002 .146 .138 .065 .466 .829 .208 .094 .056 .008 .188 .148 .050 .353 .644 .206 .139 .091 .015 .187 .141 .049 .274 .467 .198 .161 .105 .023 r_peak,r_snr = .1843935 7.43216 Correlation Surface of oversamples image at 1746 3846 .299 .508 .709 .820 .762 .523 .245 .064 .001 .250 .451 .683 .857 .851 .610 .294 .080 .003 .202 .387 .641 .877 .929 .693 .342 .096 .005 .157 .317 .578 .866 .979 .759 .382 .111 .008 .117 .248 .502 .828 1.000 .806 .415 .125 .013 .088 .189 .424 .772 .998 .839 .444 .141 .021 .066 .140 .348 .698 .968 .850 .464 .156 .031 .049 .100 .273 .604 .898 .825 .463 .164 .041 .037 .070 .206 .502 .801 .771 .447 .167 .052 1746 -.469 3846 .250 7.43216 .023172 2.133941 -.182244 Correlation Surface at 1846 3846 .229 .105 .054 .160 .382 .091 .031 .019 .047 .156 .069 .052 .232 .491 .095 .027 .019 .051 .101 .047 .052 .319 .671 .125 .021 .020 .062 .067 .036 .058 .401 .872 .176 .015 .020 .077 .048 .029 .072 .463 1.000 .230 .011 .018 .093 .041 .024 .087 .491 .989 .259 .008 .012 .102 .041 .021 .097 .483 .865 .252 .004 .003 .095 .047 .021 .100 .444 .699 .212 .001 .001 .070 .055 .026 .099 .388 .543 .159 .000 .016 .038 r_peak,r_snr = .1984559 11.95848 Correlation Surface of oversamples image at 1846 3846 .085 .152 .361 .654 .677 .355 .091 .012 .000 .081 .156 .386 .730 .791 .435 .116 .015 .000 .076 .157 .401 .787 .893 .518 .147 .020 .000 .070 .154 .404 .818 .966 .589 .177 .026 .000 .063 .148 .398 .821 1.000 .635 .201 .032 .001 .056 .140 .385 .803 .998 .656 .218 .036 .001 .051 .135 .373 .774 .970 .657 .231 .042 .002 .047 .130 .359 .732 .914 .632 .233 .046 .002 .042 .122 .338 .673 .827 .576 .217 .043 .001 1846 -.094 3846 2.688 11.95849 .005188 .418976 -.003072 Correlation Surface at 1946 3846 .163 .468 .783 .843 .894 .805 .663 .641 .587 .196 .525 .780 .836 .903 .804 .630 .598 .590 .232 .564 .726 .824 .930 .768 .555 .540 .588 .267 .593 .644 .810 .970 .702 .461 .490 .592 .301 .614 .558 .788 1.000 .616 .378 .464 .599 .336 .629 .486 .752 .992 .531 .330 .474 .610 .368 .632 .439 .704 .936 .467 .329 .522 .629 .393 .619 .421 .659 .855 .444 .376 .596 .656 .410 .588 .423 .623 .767 .460 .470 .680 .695 r_peak,r_snr = .247964 2.3866 Correlation Surface of oversamples image at 1946 3846 1.278 1.317 1.724 2.414 2.983 1.344 1.413 1.850 2.564 3.121 1.451 1.563 2.029 2.756 3.289 1.686 1.856 2.352 3.093 3.605 1946 4.688 3846 8.813 2.38660 .027907 3.405538 .209811 Correlation Surface at 2046 3846 .461 .460 .623 .841 .948 .704 .436 .338 .291 .469 .462 .610 .830 .976 .740 .450 .338 .280 .480 .465 .587 .806 .993 .776 .466 .339 .269 .494 .465 .561 .777 1.000 .810 .486 .341 .265 .510 .463 .535 .753 1.000 .840 .508 .348 .270 .527 .461 .514 .738 .997 .863 .532 .360 .284 .543 .457 .501 .732 .990 .875 .554 .375 .304 .555 .455 .494 .731 .981 .874 .567 .391 .325 .561 .456 .494 .731 .969 .863 .570 .406 .346 r_peak,r_snr = .638432 2.32476 Correlation Surface of oversamples image at 2046 3846 1.900 2.330 2.881 3.533 3.916 3.700 3.052 2.379 1.875 1.881 2.313 2.878 3.546 3.937 3.717 3.070 2.408 1.911 1.862 2.294 2.868 3.545 3.938 3.714 3.070 2.423 1.937 1.867 2.298 2.880 3.569 3.966 3.736 3.089 2.451 1.976 2046 .063 3846 5.781 2.32476 .111830 30.656458 -1.833984 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .338 .415 .593 .792 .891 .837 .539 .406 .393 .346 .423 .619 .853 .920 .826 .536 .408 .388 .360 .427 .642 .906 .957 .829 .541 .417 .382 .379 .423 .653 .929 .989 .843 .556 .431 .376 .405 .417 .649 .908 1.000 .859 .578 .447 .368 .437 .415 .634 .850 .978 .865 .600 .462 .360 .465 .415 .613 .771 .917 .845 .613 .474 .353 .477 .414 .588 .693 .833 .799 .606 .483 .352 .469 .415 .563 .630 .750 .735 .575 .486 .363 r_peak,r_snr = .4113498 3.10732 Correlation Surface of oversamples image at 146 4246 .610 .745 .887 .957 .924 .868 .850 .839 .790 .604 .742 .889 .972 .949 .895 .874 .861 .811 .595 .735 .886 .982 .973 .923 .902 .888 .837 .582 .721 .876 .984 .991 .948 .930 .918 .864 .565 .701 .860 .978 1.000 .967 .954 .946 .891 .548 .678 .837 .964 .999 .977 .972 .970 .915 .533 .655 .811 .943 .990 .981 .984 .988 .934 .522 .633 .784 .916 .972 .974 .987 .998 .945 .512 .611 .755 .885 .943 .954 .976 .994 .945 146 -1.125 4246 -5.781 3.10732 .040216 1.132893 -.139916 Correlation Surface at 246 4246 .155 .504 .552 .406 .432 .403 .384 .496 .438 .194 .562 .634 .515 .588 .447 .357 .490 .486 .199 .564 .670 .618 .784 .511 .344 .498 .548 .174 .505 .644 .672 .946 .576 .356 .530 .622 .142 .413 .581 .659 1.000 .617 .381 .569 .686 .125 .339 .518 .591 .922 .607 .399 .583 .709 .132 .308 .481 .506 .751 .536 .387 .545 .678 .162 .325 .494 .446 .564 .429 .343 .455 .598 .201 .379 .553 .432 .425 .326 .280 .345 .493 r_peak,r_snr = .2241005 4.77652 Correlation Surface of oversamples image at 246 4246 .634 .648 .693 .753 .747 .627 .480 .400 .379 .666 .691 .750 .832 .836 .693 .507 .398 .364 .683 .717 .789 .894 .913 .752 .531 .393 .350 .683 .728 .811 .935 .970 .799 .550 .392 .341 .669 .723 .815 .952 1.000 .829 .565 .392 .337 .644 .704 .800 .942 .999 .836 .570 .393 .337 .611 .676 .768 .905 .965 .817 .566 .394 .340 .574 .639 .722 .846 .900 .771 .547 .390 .342 .537 .600 .669 .771 .813 .704 .516 .381 .339 246 2.875 4246 -10.781 4.77652 .014116 .358821 -.018170 Correlation Surface at 346 4246 .006 .064 .161 .429 .423 .419 .235 .050 .001 .003 .059 .185 .507 .582 .479 .204 .041 .003 .006 .061 .196 .576 .763 .541 .184 .026 .003 .016 .071 .194 .620 .918 .588 .165 .010 .002 .035 .085 .186 .625 1.000 .607 .142 .001 .000 .056 .096 .177 .592 .994 .599 .117 .000 .000 .068 .096 .164 .528 .924 .576 .094 .003 .000 .063 .080 .146 .453 .832 .551 .077 .006 .001 .047 .057 .124 .382 .752 .537 .066 .007 .002 r_peak,r_snr = .2092415 9.73419 Correlation Surface of oversamples image at 346 4246 .271 .411 .647 .860 .933 .823 .543 .217 .025 .280 .419 .652 .874 .962 .852 .551 .209 .019 .289 .424 .650 .875 .976 .870 .558 .203 .015 .305 .439 .654 .880 .993 .893 .574 .207 .014 .319 .450 .653 .875 1.000 .908 .588 .213 .015 .312 .438 .624 .837 .973 .894 .580 .208 .014 .293 .412 .579 .784 .929 .867 .565 .201 .013 .292 .408 .566 .769 .930 .885 .588 .218 .018 346 .063 4246 -3.219 9.73419 .013936 .912168 -.014532 Correlation Surface at 446 4246 .613 .753 .788 .776 .731 .546 .555 .737 .747 .730 .854 .800 .800 .840 .648 .600 .712 .627 .745 .884 .790 .819 .932 .744 .621 .650 .504 .672 .857 .788 .840 .990 .806 .605 .574 .412 .562 .804 .808 .859 1.000 .816 .550 .500 .354 .473 .759 .837 .855 .960 .768 .468 .432 .326 .437 .738 .852 .810 .879 .683 .377 .369 .313 .454 .738 .830 .724 .773 .590 .290 .309 .304 .516 .754 .772 .614 .656 .510 .223 .262 .296 r_peak,r_snr = .2411754 2.30638 Correlation Surface of oversamples image at 446 4246 .692 .737 .676 .570 .477 .430 .769 .841 .766 .629 .511 .446 .821 .922 .845 .687 .549 .467 .847 .977 .906 .736 .584 .489 .845 1.000 .945 .773 .613 .509 .814 .989 .957 .797 .637 .529 .763 .952 .948 .811 .661 .551 .702 .898 .925 .819 .684 .574 .635 .832 .890 .817 .701 .592 446 -.688 4246 -6.813 2.30638 .055698 1.964116 .098961 Correlation Surface at 546 4246 .210 .314 .711 .824 .627 .364 .251 .099 .009 .172 .257 .718 .917 .771 .441 .228 .061 .001 .142 .196 .639 .901 .903 .526 .217 .048 .000 .122 .143 .513 .785 .987 .607 .216 .052 .000 .115 .105 .383 .614 1.000 .666 .225 .071 .004 .117 .082 .280 .442 .946 .685 .239 .098 .016 .121 .071 .208 .307 .848 .662 .250 .126 .037 .121 .069 .163 .222 .734 .609 .252 .137 .056 .121 .078 .142 .183 .631 .538 .234 .120 .065 r_peak,r_snr = .2126696 4.23608 Correlation Surface of oversamples image at 546 4246 .498 .729 .852 .879 .819 .671 .528 .407 .291 .450 .700 .860 .927 .898 .767 .608 .443 .285 .398 .656 .845 .950 .958 .855 .686 .478 .282 .343 .597 .805 .945 .993 .927 .755 .510 .280 .291 .530 .746 .913 1.000 .974 .809 .534 .279 .244 .462 .673 .856 .978 .994 .844 .553 .282 .205 .396 .591 .781 .929 .985 .860 .566 .288 .171 .332 .503 .689 .859 .951 .854 .569 .294 .145 .274 .417 .591 .773 .895 .829 .564 .301 546 -8.250 4246 -4.750 4.23608 .121836 3.418162 -.605234 Correlation Surface at 646 4246 .066 .098 .064 .270 .665 .359 .144 .123 .102 .051 .085 .084 .413 .787 .361 .136 .118 .133 .039 .075 .103 .560 .914 .366 .126 .108 .140 .037 .078 .125 .655 .994 .360 .108 .086 .114 .046 .104 .161 .672 1.000 .340 .081 .052 .069 .072 .163 .222 .632 .943 .310 .049 .021 .030 .127 .263 .314 .578 .863 .281 .024 .003 .010 .219 .394 .430 .545 .797 .261 .009 .001 .003 .345 .531 .547 .544 .764 .256 .003 .007 .004 r_peak,r_snr = .2416936 6.13191 Correlation Surface of oversamples image at 646 4246 .064 .162 .450 .786 .841 .632 .402 .259 .186 .078 .188 .502 .858 .901 .661 .408 .252 .173 .096 .215 .545 .914 .950 .689 .415 .246 .159 .121 .242 .575 .948 .983 .712 .422 .239 .145 .154 .270 .593 .958 1.000 .730 .428 .231 .130 .196 .301 .601 .948 .999 .740 .430 .221 .112 .248 .334 .601 .922 .982 .739 .427 .208 .093 .312 .372 .601 .888 .954 .732 .423 .195 .077 .386 .415 .601 .852 .918 .717 .415 .182 .062 646 -.188 4246 -2.844 6.13191 .006137 1.249418 .015856 Correlation Surface at 746 4246 .613 .868 .622 .407 .300 .238 .183 .121 .105 .503 .712 .609 .473 .468 .437 .257 .107 .059 .337 .533 .541 .549 .685 .663 .306 .092 .035 .186 .404 .478 .631 .888 .835 .311 .079 .029 .093 .349 .462 .716 1.000 .878 .280 .070 .039 .059 .372 .520 .799 .977 .775 .233 .062 .066 .063 .449 .648 .856 .829 .589 .189 .052 .101 .094 .533 .786 .851 .618 .404 .158 .036 .130 .141 .559 .844 .764 .407 .274 .146 .020 .136 r_peak,r_snr = .1494159 4.89291 Correlation Surface of oversamples image at 746 4246 .446 .534 .599 .673 .757 .801 .767 .702 .571 .419 .528 .623 .737 .852 .901 .848 .756 .596 .415 .543 .662 .803 .933 .970 .887 .772 .593 .428 .574 .706 .857 .983 .993 .875 .742 .561 .460 .620 .754 .897 1.000 .972 .821 .680 .512 .520 .692 .817 .932 .995 .924 .747 .609 .466 .598 .777 .878 .946 .955 .843 .654 .529 .415 .662 .836 .900 .907 .857 .714 .529 .427 .349 .696 .853 .873 .819 .716 .558 .395 .323 .280 746 -1.281 4246 -9.219 4.89291 .134488 1.018614 .199985 Correlation Surface at 846 4246 .091 .205 .238 .050 .016 .000 .088 .200 .655 .087 .215 .348 .149 .153 .010 .048 .154 .803 .048 .130 .380 .293 .439 .034 .015 .124 .839 .011 .030 .299 .409 .776 .061 .001 .121 .778 .000 .001 .157 .435 1.000 .077 .002 .145 .668 .004 .043 .044 .370 .992 .069 .008 .180 .549 .004 .087 .003 .272 .772 .038 .012 .200 .463 .000 .083 .001 .187 .475 .008 .013 .191 .438 .012 .040 .001 .136 .233 .000 .011 .160 .475 r_peak,r_snr = .1319308 6.66373 Correlation Surface of oversamples image at 846 4246 .098 .246 .468 1.548 .073 .230 .494 1.638 .054 .229 .555 1.755 .039 .241 .650 1.899 .028 .266 .787 2.077 .020 .301 .960 2.277 .012 .334 1.133 2.447 .004 .347 1.267 2.551 .001 .363 1.398 2.651 846 3.906 4246 -11.219 6.66373 .007747 .376890 -.004466 Correlation Surface at 946 4246 .008 .043 .272 .706 .908 .077 .040 .037 .061 .008 .051 .283 .770 1.000 .117 .016 .026 .073 .016 .077 .298 .781 .985 .146 .001 .011 .084 .033 .119 .313 .720 .856 .147 .004 .001 .091 .057 .166 .320 .602 .663 .124 .022 .003 .094 .077 .194 .307 .462 .471 .090 .040 .015 .095 r_peak,r_snr = .1456377 8.44386 Correlation Surface of oversamples image at 946 4246 .254 .392 .594 .797 .909 .857 .580 .203 .008 .242 .380 .597 .825 .949 .895 .609 .219 .011 .234 .371 .600 .847 .979 .917 .626 .230 .014 .233 .368 .603 .863 .997 .925 .629 .238 .018 .237 .371 .606 .870 1.000 .915 .617 .240 .024 .244 .376 .606 .862 .982 .883 .589 .235 .029 .255 .385 .605 .843 .945 .833 .548 .224 .035 .279 .407 .612 .822 .901 .777 .504 .213 .043 .313 .438 .623 .795 .844 .709 .452 .196 .049 946 .563 4246 -14.188 8.44386 .011216 1.485902 -.030811 Correlation Surface at 1046 4246 .559 .878 .681 .595 .594 .178 .085 .179 .233 .555 .930 .744 .659 .686 .239 .101 .194 .229 .540 .901 .736 .703 .805 .348 .139 .221 .266 .528 .822 .679 .725 .924 .491 .199 .265 .345 .534 .743 .614 .726 1.000 .631 .282 .331 .455 .555 .694 .563 .703 .993 .717 .370 .406 .564 .582 .676 .543 .674 .909 .716 .434 .468 .643 .597 .673 .548 .650 .776 .636 .452 .505 .692 .587 .664 .558 .638 .635 .510 .422 .515 .726 r_peak,r_snr = .2004563 2.62885 Correlation Surface of oversamples image at 1046 4246 .590 .513 .649 .868 .825 .477 .136 .006 .004 .584 .506 .653 .907 .903 .563 .194 .022 .000 .552 .479 .637 .922 .955 .632 .251 .045 .003 .509 .446 .614 .920 .984 .686 .308 .077 .013 .470 .421 .597 .914 1.000 .727 .363 .119 .033 .436 .401 .584 .899 .993 .748 .409 .165 .063 .404 .383 .568 .868 .959 .741 .438 .209 .101 .379 .372 .555 .830 .906 .714 .452 .248 .142 .372 .378 .556 .797 .850 .678 .459 .285 .188 1046 -.125 4246 -.281 2.62885 .042992 1.440088 -.178524 Correlation Surface at 1146 4246 .053 .016 .012 .036 .121 .177 .248 .062 .024 .056 .032 .026 .093 .411 .355 .334 .049 .022 .053 .053 .027 .171 .765 .519 .375 .043 .031 .045 .069 .017 .241 .997 .601 .351 .041 .048 .031 .063 .005 .275 1.000 .572 .285 .041 .065 .013 .035 .000 .259 .817 .457 .223 .048 .077 .001 .007 .003 .203 .554 .308 .194 .067 .082 .007 .001 .009 .137 .307 .170 .196 .102 .083 .030 .013 .010 .077 .127 .070 .217 .148 .081 r_peak,r_snr = .1196485 7.10827 Correlation Surface of oversamples image at 1146 4246 .020 .016 .205 .504 .600 .460 .382 .492 .638 .013 .027 .252 .617 .761 .598 .479 .565 .692 .007 .042 .297 .709 .890 .709 .553 .611 .715 .002 .060 .335 .771 .971 .778 .594 .623 .706 .000 .077 .361 .801 1.000 .797 .594 .597 .661 .000 .090 .373 .799 .979 .766 .554 .537 .588 .001 .097 .367 .762 .908 .687 .478 .453 .499 .003 .097 .348 .704 .806 .576 .382 .359 .410 .005 .099 .334 .656 .713 .473 .294 .281 .342 1146 6.938 4246 1.625 7.10827 .019335 .754993 .034548 Correlation Surface at 1246 4246 .417 .523 .277 .452 .641 .609 .505 .444 .335 .390 .474 .303 .529 .732 .679 .516 .458 .393 .332 .406 .345 .639 .842 .751 .543 .482 .443 .265 .341 .398 .758 .945 .804 .576 .496 .461 .205 .288 .448 .850 1.000 .814 .602 .485 .440 .164 .258 .485 .891 .983 .770 .604 .444 .393 .142 .253 .508 .877 .902 .679 .569 .382 .338 .138 .275 .518 .829 .785 .558 .496 .311 .287 .149 .320 .526 .777 .669 .440 .404 .248 .247 r_peak,r_snr = .2765095 3.49625 Correlation Surface of oversamples image at 1246 4246 .271 .394 .584 .761 .852 .833 .741 .602 .465 .300 .444 .643 .818 .901 .875 .776 .627 .481 .336 .503 .708 .875 .945 .908 .801 .648 .495 .380 .568 .777 .931 .981 .928 .812 .658 .504 .427 .633 .839 .974 1.000 .927 .803 .654 .503 .470 .687 .884 .995 .993 .900 .772 .633 .490 .508 .729 .912 .995 .966 .854 .723 .597 .466 .543 .763 .927 .984 .926 .798 .666 .555 .436 .569 .781 .924 .953 .872 .731 .601 .504 .399 1246 -.250 4246 2.375 3.49625 .053355 .811741 .125773 Correlation Surface at 1346 4246 .526 .656 .584 .638 .783 .747 .651 .455 .231 .541 .690 .604 .658 .839 .773 .667 .488 .245 .538 .703 .628 .691 .905 .808 .692 .533 .272 .519 .693 .641 .723 .967 .841 .711 .573 .309 .488 .662 .636 .734 1.000 .864 .715 .593 .347 .447 .619 .618 .714 .979 .863 .702 .588 .383 .397 .574 .598 .665 .898 .834 .674 .573 .419 .349 .540 .583 .602 .782 .784 .642 .564 .458 .316 .524 .578 .548 .668 .731 .617 .569 .500 r_peak,r_snr = .3669968 2.49555 Correlation Surface of oversamples image at 1346 4246 .806 .839 .897 .962 .978 .929 .846 .766 .698 .798 .839 .905 .974 .987 .933 .842 .753 .684 .781 .832 .907 .980 .993 .934 .836 .738 .666 .759 .820 .904 .983 .997 .936 .830 .722 .646 .738 .807 .897 .981 1.000 .940 .830 .712 .630 .717 .791 .883 .972 .998 .944 .830 .704 .616 .693 .771 .863 .954 .987 .940 .828 .694 .600 .673 .752 .842 .932 .972 .934 .825 .686 .584 .664 .742 .825 .912 .957 .929 .827 .686 .577 1346 -1.719 4246 4.188 2.49555 .012168 .514791 -.011401 Correlation Surface at 1446 4246 .293 .473 .723 .896 .904 .703 .520 .462 .287 .330 .491 .728 .905 .929 .721 .544 .461 .250 .380 .507 .705 .899 .967 .744 .571 .454 .220 .423 .516 .672 .881 .995 .755 .587 .443 .205 .445 .520 .641 .851 1.000 .751 .584 .425 .198 .439 .523 .623 .812 .982 .736 .562 .398 .192 .411 .531 .621 .774 .947 .714 .528 .360 .179 .374 .546 .636 .746 .907 .693 .486 .313 .157 .339 .561 .653 .730 .871 .675 .442 .264 .130 r_peak,r_snr = .3681842 3.86612 Correlation Surface of oversamples image at 1446 4246 2.769 3.149 3.537 3.846 4.000 3.930 3.631 3.194 2.775 2.759 3.116 3.488 3.792 3.953 3.879 3.571 3.136 2.728 2.729 3.050 3.402 3.718 3.904 3.835 3.519 3.085 2.688 2.704 2.987 3.322 3.658 3.876 3.810 3.484 3.049 2.661 2.673 2.912 3.228 3.589 3.846 3.786 3.448 3.012 2.633 1446 -.313 4246 -9.781 3.86612 .015037 2.734550 -.090587 Correlation Surface at 1546 4246 .073 .215 .398 .412 .662 .452 .138 .055 .018 .095 .251 .425 .484 .805 .504 .136 .046 .010 .122 .303 .450 .551 .929 .577 .155 .045 .007 .139 .350 .467 .610 .999 .640 .187 .047 .004 .139 .376 .469 .650 1.000 .667 .221 .050 .002 .128 .377 .454 .665 .952 .658 .251 .053 .001 .119 .364 .426 .655 .887 .634 .277 .056 .001 .118 .350 .391 .622 .818 .604 .296 .063 .001 .125 .337 .352 .565 .752 .574 .310 .078 .003 r_peak,r_snr = .262124 6.94893 Correlation Surface of oversamples image at 1546 4246 .380 .477 .674 .901 .899 .594 .247 .065 .007 .384 .492 .701 .941 .947 .645 .286 .082 .010 .389 .505 .723 .970 .982 .689 .326 .102 .015 .389 .513 .735 .982 .997 .720 .361 .124 .022 .391 .522 .745 .986 1.000 .740 .394 .148 .030 .403 .540 .762 .991 .998 .755 .428 .178 .044 .414 .558 .775 .984 .983 .757 .454 .208 .062 .413 .560 .767 .952 .939 .732 .460 .229 .078 .406 .554 .749 .907 .881 .692 .453 .244 .094 1546 -.719 4246 9.813 6.94893 .010888 1.641449 .026631 Correlation Surface at 1646 4246 .201 .318 .510 .665 .707 .712 .735 .611 .569 .202 .338 .551 .781 .816 .745 .749 .603 .526 .197 .350 .577 .883 .923 .764 .742 .607 .504 .192 .355 .587 .947 .993 .762 .721 .623 .508 .187 .351 .589 .965 1.000 .734 .692 .646 .531 .183 .338 .584 .943 .945 .686 .662 .667 .558 .181 .317 .575 .892 .851 .631 .643 .682 .582 .180 .294 .553 .821 .748 .581 .637 .689 .592 .185 .272 .512 .741 .661 .543 .643 .693 .585 r_peak,r_snr = .3560527 3.26293 Correlation Surface of oversamples image at 1646 4246 .320 .438 .611 .808 .902 .858 .752 .646 .576 .329 .451 .637 .848 .949 .899 .780 .660 .578 .337 .465 .661 .879 .979 .923 .794 .664 .573 .348 .484 .687 .904 .997 .933 .797 .663 .568 .358 .503 .710 .920 1.000 .928 .790 .656 .560 .362 .515 .723 .919 .981 .902 .766 .636 .545 .361 .522 .726 .902 .944 .859 .728 .606 .524 .359 .527 .726 .881 .904 .814 .689 .579 .509 .354 .526 .718 .850 .857 .767 .650 .552 .496 1646 -2.500 4246 6.844 3.26293 .023686 .454458 .035376 Correlation Surface at 1746 4246 .039 .033 .120 .586 .926 .259 .015 .015 .009 .042 .029 .111 .647 .936 .229 .010 .014 .016 .035 .022 .101 .687 .959 .229 .011 .014 .024 .021 .013 .090 .689 .986 .263 .023 .021 .032 .007 .004 .077 .642 1.000 .335 .054 .040 .042 .000 .000 .059 .557 .984 .434 .108 .079 .057 .004 .002 .040 .459 .933 .534 .175 .131 .074 .015 .007 .024 .376 .853 .605 .229 .174 .086 .025 .012 .013 .324 .770 .632 .248 .187 .086 r_peak,r_snr = .2507934 9.59341 Correlation Surface of oversamples image at 1746 4246 .262 .327 .453 .652 .843 .842 .563 .218 .052 .230 .306 .460 .695 .899 .874 .558 .201 .040 .200 .284 .463 .731 .951 .910 .569 .200 .036 .174 .263 .458 .751 .986 .939 .590 .212 .038 .150 .241 .446 .754 1.000 .961 .619 .236 .048 .128 .218 .425 .738 .991 .971 .654 .274 .067 .109 .196 .398 .705 .958 .966 .690 .323 .097 .093 .175 .367 .661 .911 .949 .723 .376 .134 .081 .158 .335 .611 .855 .924 .751 .430 .177 1746 -.281 4246 -8.750 9.59341 .113488 12.272419 -1.152961 Correlation Surface at 1846 4246 .389 .717 .383 .336 .707 .813 .493 .201 .202 .469 .790 .543 .496 .771 .782 .421 .134 .150 .570 .803 .694 .702 .869 .767 .360 .086 .121 .664 .754 .777 .878 .967 .768 .318 .062 .110 .733 .664 .766 .941 1.000 .768 .303 .057 .110 .783 .579 .693 .870 .937 .747 .315 .070 .114 .828 .520 .598 .721 .798 .692 .355 .103 .119 .863 .488 .500 .556 .633 .607 .414 .168 .135 .858 .471 .410 .421 .492 .503 .470 .272 .169 r_peak,r_snr = .2035125 3.70584 Correlation Surface of oversamples image at 1846 4246 .668 .695 .740 .789 .807 .789 .690 .483 .269 .746 .777 .822 .869 .876 .834 .702 .470 .251 .804 .834 .879 .933 .945 .887 .725 .471 .245 .830 .849 .892 .960 .988 .927 .750 .482 .251 .827 .828 .863 .947 1.000 .951 .775 .505 .268 .818 .794 .815 .911 .993 .968 .808 .547 .305 .800 .749 .749 .847 .955 .963 .838 .600 .360 .748 .674 .652 .740 .862 .908 .836 .644 .418 .667 .577 .538 .610 .734 .815 .805 .675 .476 1846 .500 4246 9.875 3.70584 .091851 .825699 .014115 Correlation Surface at 1946 4246 .893 .778 .538 .609 .854 .689 .529 .421 .281 .865 .768 .563 .652 .899 .682 .492 .390 .265 .838 .760 .594 .697 .947 .698 .474 .374 .264 .818 .761 .629 .737 .985 .729 .473 .374 .280 .807 .771 .659 .760 1.000 .759 .480 .389 .312 .803 .787 .679 .764 .986 .770 .488 .412 .356 .802 .802 .687 .751 .945 .752 .488 .436 .406 .799 .812 .687 .729 .889 .707 .475 .450 .450 .792 .807 .680 .705 .830 .650 .449 .448 .472 r_peak,r_snr = .4971124 2.04849 Correlation Surface of oversamples image at 1946 4246 .614 .617 .710 .858 .947 .857 .644 .484 .429 .635 .645 .741 .889 .971 .869 .646 .478 .417 .653 .668 .766 .912 .988 .879 .650 .475 .408 .668 .686 .785 .927 .998 .887 .656 .477 .404 .677 .698 .794 .933 1.000 .891 .664 .483 .404 .680 .701 .795 .929 .993 .888 .669 .489 .407 .679 .698 .787 .915 .977 .879 .670 .494 .410 .674 .690 .775 .896 .954 .864 .667 .497 .415 .669 .681 .761 .875 .930 .845 .661 .500 .421 1946 -.031 4246 -.781 2.04849 .003849 .625320 -.004976 Correlation Surface at 2046 4246 .032 .000 .093 .369 .677 .589 .292 .112 .059 .031 .000 .074 .403 .800 .638 .294 .112 .061 .027 .000 .061 .434 .916 .681 .299 .114 .065 .023 .000 .052 .455 .990 .704 .303 .116 .073 .022 .001 .046 .461 1.000 .702 .300 .116 .083 .025 .002 .040 .450 .952 .674 .288 .109 .093 .033 .005 .032 .418 .865 .628 .268 .096 .099 .045 .013 .021 .368 .760 .570 .244 .080 .097 .054 .025 .010 .308 .661 .510 .218 .066 .084 r_peak,r_snr = .3119358 9.82524 Correlation Surface of oversamples image at 2046 4246 .055 .184 .432 .725 .878 .810 .607 .394 .232 .053 .187 .452 .768 .931 .852 .628 .401 .234 .051 .189 .467 .798 .969 .880 .641 .403 .233 .051 .192 .478 .819 .992 .897 .649 .405 .232 .051 .196 .485 .827 1.000 .901 .650 .404 .231 .051 .196 .483 .820 .988 .888 .640 .398 .227 .050 .193 .473 .800 .961 .862 .620 .387 .221 .049 .189 .460 .774 .928 .831 .600 .378 .217 .046 .183 .443 .743 .889 .796 .577 .368 .214 2046 .063 4246 -.031 9.82524 .004817 .741885 .005714 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .057 .143 .434 .563 .340 .186 .117 .202 .133 .062 .130 .427 .700 .561 .279 .139 .294 .198 .043 .079 .354 .768 .808 .414 .143 .330 .252 .014 .023 .256 .758 .983 .559 .136 .295 .283 .000 .000 .165 .679 1.000 .645 .123 .218 .291 .004 .008 .100 .556 .853 .626 .114 .144 .282 .006 .017 .062 .416 .626 .518 .110 .098 .270 .000 .009 .043 .282 .414 .375 .112 .081 .267 .010 .000 .037 .169 .265 .252 .119 .085 .285 r_peak,r_snr = .1386929 4.24271 Correlation Surface of oversamples image at 146 4646 .214 .445 .658 .728 .632 .410 .189 .074 .076 .190 .432 .693 .841 .793 .535 .229 .065 .047 .173 .415 .705 .919 .926 .651 .269 .057 .025 .158 .387 .679 .936 .996 .727 .299 .050 .011 .147 .353 .627 .898 1.000 .757 .316 .047 .004 .144 .326 .574 .841 .969 .763 .337 .052 .002 .141 .297 .513 .759 .896 .738 .354 .064 .002 .126 .251 .425 .632 .760 .652 .342 .074 .004 .101 .192 .323 .487 .592 .529 .305 .080 .005 146 -7.625 4646 -9.281 4.24271 .055932 .779978 -.105838 Correlation Surface at 246 4646 .005 .080 .039 .149 .579 .344 .011 .006 .006 .002 .177 .076 .243 .753 .437 .006 .026 .001 .020 .288 .128 .354 .900 .492 .002 .055 .001 .039 .359 .185 .465 .988 .493 .000 .087 .012 .037 .353 .231 .553 1.000 .442 .006 .118 .031 .020 .275 .245 .589 .938 .356 .022 .147 .046 .003 .168 .222 .561 .829 .258 .046 .175 .053 .001 .077 .170 .482 .713 .173 .076 .204 .053 .013 .022 .113 .379 .617 .112 .107 .239 .053 r_peak,r_snr = .1866724 10.6982 Correlation Surface of oversamples image at 246 4646 .061 .073 .248 .598 .863 .802 .481 .144 .001 .078 .097 .296 .663 .923 .844 .502 .149 .001 .097 .123 .340 .715 .963 .867 .508 .146 .000 .118 .151 .381 .755 .988 .874 .501 .138 .000 .140 .182 .421 .785 1.000 .873 .489 .127 .000 .161 .212 .453 .801 .996 .859 .469 .113 .001 .176 .237 .473 .797 .969 .826 .436 .094 .003 .186 .256 .482 .778 .927 .782 .398 .074 .007 .193 .273 .488 .755 .883 .737 .361 .056 .014 246 .063 4646 -.250 10.69821 .025432 2.104090 .179101 Correlation Surface at 446 4646 .345 .157 .049 .437 .556 .296 .188 .269 .231 .382 .166 .038 .446 .717 .420 .219 .308 .292 .428 .171 .029 .443 .877 .596 .301 .386 .381 .474 .165 .024 .433 .985 .781 .418 .484 .476 .509 .152 .024 .417 1.000 .908 .526 .563 .539 .527 .140 .032 .401 .908 .922 .573 .585 .543 .516 .132 .050 .388 .741 .812 .540 .540 .487 .471 .127 .079 .389 .560 .621 .451 .460 .399 .398 .119 .120 .416 .414 .418 .353 .393 .312 r_peak,r_snr = .1917275 3.73074 Correlation Surface of oversamples image at 446 4646 .012 .075 .391 .759 .760 .561 .360 .209 .122 .016 .079 .402 .806 .853 .663 .433 .243 .134 .021 .086 .413 .843 .934 .759 .506 .281 .151 .029 .096 .421 .863 .988 .832 .565 .314 .168 .038 .109 .424 .855 1.000 .865 .597 .333 .178 .049 .125 .426 .828 .975 .860 .606 .343 .186 .064 .148 .435 .797 .931 .831 .601 .352 .197 .082 .176 .446 .759 .865 .775 .577 .354 .206 .096 .203 .450 .704 .769 .682 .522 .336 .205 446 .938 4646 10.344 3.73074 .022699 .822180 -.058295 Correlation Surface at 546 4646 .258 .339 .362 .573 .854 .820 .662 .567 .380 .249 .355 .400 .624 .916 .851 .641 .541 .370 .225 .356 .434 .675 .965 .882 .620 .503 .350 .191 .339 .455 .715 .995 .914 .611 .465 .322 .155 .307 .455 .734 1.000 .938 .615 .432 .288 .127 .271 .435 .731 .983 .949 .628 .405 .251 .113 .242 .406 .716 .957 .943 .640 .384 .216 .116 .231 .381 .700 .940 .924 .642 .366 .185 .136 .241 .371 .695 .945 .899 .629 .349 .160 r_peak,r_snr = .4074033 3.10216 Correlation Surface of oversamples image at 546 4646 .500 .615 .774 .908 .961 .907 .774 .638 .551 .508 .624 .785 .923 .977 .913 .761 .611 .520 .510 .627 .788 .931 .990 .920 .753 .588 .491 .506 .625 .786 .933 .997 .926 .748 .570 .464 .497 .619 .780 .930 1.000 .931 .748 .559 .443 .482 .605 .766 .919 .997 .935 .751 .554 .428 .463 .586 .746 .902 .989 .938 .758 .555 .419 .446 .571 .731 .888 .981 .941 .770 .562 .414 .432 .560 .721 .877 .972 .942 .782 .573 .414 546 .531 4646 -7.813 3.10216 .012903 2.175403 -.027948 Correlation Surface at 646 4646 .284 .538 .714 .735 .779 .634 .441 .431 .447 .283 .515 .677 .751 .855 .687 .487 .425 .403 .281 .492 .628 .743 .930 .741 .537 .424 .354 .272 .462 .576 .713 .982 .782 .576 .425 .311 .255 .423 .533 .679 1.000 .806 .603 .437 .284 .237 .384 .506 .656 .989 .815 .626 .475 .286 .228 .353 .494 .655 .965 .818 .658 .545 .323 .228 .334 .491 .672 .939 .819 .694 .634 .393 .231 .328 .496 .703 .920 .822 .719 .710 .474 r_peak,r_snr = .2642206 2.77958 Correlation Surface of oversamples image at 646 4646 .689 .663 .735 .847 .866 .755 .593 .437 .344 .616 .587 .671 .819 .870 .763 .592 .433 .336 .557 .526 .618 .799 .887 .790 .612 .446 .344 .541 .506 .608 .824 .958 .878 .690 .511 .397 .521 .484 .590 .828 1.000 .940 .751 .564 .442 .486 .450 .552 .793 .986 .948 .770 .588 .464 .462 .428 .525 .762 .965 .952 .792 .618 .498 .464 .433 .527 .758 .968 .977 .837 .674 .557 .469 .441 .532 .750 .958 .985 .868 .721 .613 646 -.875 4646 2.156 2.77958 .029248 4.917917 -.244884 Correlation Surface at 746 4646 .006 .007 .150 .460 .111 .009 .008 .071 .010 .007 .009 .163 .517 .307 .131 .058 .108 .013 .004 .010 .163 .539 .605 .392 .136 .129 .007 .000 .010 .144 .513 .878 .635 .186 .122 .001 .003 .008 .111 .461 1.000 .686 .170 .090 .002 .014 .004 .075 .408 .942 .544 .108 .051 .014 r_peak,r_snr = .1240494 9.54861 Correlation Surface of oversamples image at 746 4646 .550 .573 .577 .672 .689 .540 .462 .416 .125 .400 .504 .602 .766 .813 .639 .513 .436 .144 .232 .376 .554 .785 .869 .683 .516 .419 .151 .160 .326 .566 .847 .956 .759 .554 .434 .179 .121 .299 .578 .882 1.000 .813 .593 .461 .214 .054 .198 .459 .739 .857 .707 .508 .401 .214 .011 .106 .323 .560 .658 .533 .360 .286 .183 .002 .075 .267 .466 .539 .427 .274 .219 .163 .000 .057 .227 .386 .428 .326 .196 .155 .130 746 2.938 4646 12.906 9.54861 .032174 .749727 -.008088 Correlation Surface at 846 4646 .007 .008 .035 .019 .158 .228 .975 .740 .116 .001 .001 .008 .100 .417 .380 .962 .780 .130 .011 .023 .004 .227 .714 .482 .765 .695 .157 .021 .051 .046 .341 .931 .502 .485 .514 .203 .023 .061 .104 .391 1.000 .470 .254 .317 .275 .020 .044 .137 .365 .919 .431 .123 .168 .357 .015 .020 .131 .310 .771 .417 .071 .083 .416 .011 .004 .103 .271 .624 .428 .062 .046 .434 .008 .000 .068 .250 .504 .439 .078 .037 .406 r_peak,r_snr = .1138476 6.31932 Correlation Surface of oversamples image at 846 4646 .019 .104 .277 .473 .616 .612 .477 .377 .396 .042 .143 .341 .583 .758 .728 .517 .342 .307 .070 .182 .393 .671 .876 .824 .547 .307 .230 .104 .220 .434 .737 .965 .902 .574 .285 .175 .134 .245 .447 .756 1.000 .933 .578 .258 .130 .149 .250 .431 .730 .978 .914 .557 .229 .093 .150 .241 .398 .672 .909 .853 .520 .203 .068 .146 .229 .363 .602 .816 .773 .480 .185 .053 .133 .211 .324 .524 .711 .684 .437 .171 .044 846 -2.844 4646 8.094 6.31932 .022177 1.321421 .038172 Correlation Surface at 946 4646 .068 .005 .000 .150 .832 .721 .107 .004 .056 .068 .013 .001 .205 .882 .630 .090 .006 .081 .070 .015 .006 .276 .933 .529 .069 .005 .091 .066 .008 .005 .335 .978 .446 .054 .003 .088 .058 .000 .000 .347 1.000 .398 .047 .001 .074 .049 .005 .004 .300 .971 .382 .048 .000 .057 .045 .016 .018 .215 .873 .383 .052 .000 .042 .049 .015 .028 .132 .720 .382 .051 .000 .028 .065 .003 .021 .075 .546 .361 .042 .000 .017 r_peak,r_snr = .1726295 10.46695 Correlation Surface of oversamples image at 946 4646 .025 .092 .243 .555 .925 .998 .685 .306 .087 .021 .090 .233 .508 .813 .839 .549 .236 .064 .011 .069 .195 .423 .656 .641 .392 .155 .036 .034 .127 .294 .554 .770 .705 .427 .187 .060 .093 .240 .469 .775 1.000 .881 .543 .268 .117 .030 .131 .319 .569 .740 .632 .355 .153 .057 .007 .078 .244 .468 .602 .490 .256 .101 .035 .019 .115 .323 .584 .720 .573 .302 .129 .053 .025 .132 .366 .652 .797 .634 .337 .148 .066 946 .094 4646 .031 10.46695 .007796 4.310446 .027844 Correlation Surface at 1046 4646 .052 .056 .001 .061 .316 .277 .061 .048 .146 .055 .013 .009 .077 .497 .426 .089 .032 .128 .044 .000 .034 .112 .722 .558 .096 .027 .118 .025 .010 .044 .163 .920 .627 .077 .032 .116 .011 .018 .031 .214 1.000 .613 .050 .042 .118 .006 .012 .010 .239 .915 .539 .030 .051 .114 .009 .002 .000 .230 .718 .441 .020 .051 .097 .020 .002 .004 .197 .510 .339 .014 .041 .067 .040 .011 .010 .165 .360 .247 .008 .029 .038 r_peak,r_snr = .1755529 9.34084 Correlation Surface of oversamples image at 1046 4646 .003 .036 .278 .650 .785 .633 .358 .109 .005 .001 .060 .354 .746 .844 .646 .344 .094 .002 .000 .095 .436 .823 .869 .623 .305 .069 .000 .000 .111 .479 .877 .919 .666 .337 .086 .001 .004 .148 .552 .961 1.000 .746 .403 .126 .011 .007 .154 .524 .856 .840 .583 .279 .062 .000 .009 .153 .479 .746 .704 .462 .195 .028 .005 .015 .162 .467 .715 .688 .468 .209 .036 .001 .021 .163 .439 .667 .653 .458 .210 .038 .001 1046 7.281 4646 .969 9.34084 .008930 .424638 .022246 Correlation Surface at 1146 4646 .199 .281 .379 .616 .692 .553 .424 .271 .227 .199 .218 .290 .555 .811 .710 .456 .257 .233 .190 .167 .243 .539 .921 .860 .506 .268 .249 .172 .137 .240 .568 .997 .954 .539 .280 .266 .151 .124 .271 .622 1.000 .952 .530 .272 .267 .131 .119 .313 .662 .913 .868 .475 .237 .247 .120 .116 .343 .650 .761 .748 .399 .186 .212 r_peak,r_snr = .217576 4.19319 Correlation Surface of oversamples image at 1146 4646 .623 .725 .798 .834 .852 .810 .647 .445 .348 .589 .716 .825 .889 .909 .842 .645 .427 .328 .573 .716 .853 .939 .957 .866 .639 .407 .306 .574 .723 .876 .976 .990 .877 .626 .387 .284 .587 .733 .891 .996 1.000 .865 .600 .358 .256 .607 .744 .896 .998 .987 .828 .556 .320 .221 .632 .749 .885 .977 .948 .772 .502 .279 .187 .650 .739 .848 .927 .888 .704 .445 .240 .155 .659 .713 .794 .862 .820 .636 .390 .205 .127 1146 1.750 4646 11.219 4.19319 .050987 .896802 .117543 Correlation Surface at 1246 4646 .002 .013 .018 .207 .598 .577 .353 .127 .020 .014 .003 .036 .306 .754 .669 .409 .141 .006 .031 .000 .069 .437 .896 .742 .461 .147 .000 .048 .010 .113 .575 .981 .760 .489 .149 .009 .063 .032 .158 .690 1.000 .704 .475 .142 .019 .080 .059 .186 .768 .985 .609 .426 .136 .016 .099 .086 .193 .800 .979 .534 .376 .135 .003 .122 .109 .189 .787 .982 .508 .343 .136 .002 .146 .129 .185 .741 .990 .542 .337 .132 .021 r_peak,r_snr = .1828402 4.1223 Correlation Surface of oversamples image at 1246 4646 1.804 2.546 3.307 3.910 4.000 3.270 2.160 1.910 2.492 3.150 3.779 3.954 3.261 2.063 2.023 2.452 3.009 3.649 3.884 3.219 1.949 2.087 2.399 2.881 3.528 3.800 3.152 1.824 2.057 2.295 2.732 3.382 3.661 3.016 1.664 1246 2.344 4646 -7.781 4.12230 .938397 34.614353 5.612299 Correlation Surface at 1346 4646 .092 .159 .121 .302 .848 .424 .106 .049 .001 .065 .113 .084 .248 .911 .511 .150 .054 .000 .044 .084 .078 .234 .961 .578 .202 .053 .002 .028 .066 .094 .260 .992 .590 .238 .044 .010 .017 .056 .128 .322 1.000 .531 .235 .033 .019 .011 .052 .174 .409 .984 .421 .191 .024 .023 .008 .051 .217 .502 .948 .298 .127 .018 .018 .006 .053 .241 .571 .887 .189 .070 .016 .010 .006 .054 .238 .592 .789 .105 .032 .017 .003 r_peak,r_snr = .2066164 9.29325 Correlation Surface of oversamples image at 1346 4646 .042 .087 .262 .599 .866 .772 .442 .191 .090 .043 .095 .282 .642 .930 .832 .482 .213 .099 .049 .110 .310 .685 .976 .865 .504 .229 .108 .058 .133 .347 .727 .998 .858 .492 .228 .110 .072 .165 .392 .768 1.000 .821 .455 .211 .105 .093 .206 .444 .807 .991 .770 .409 .189 .097 .119 .255 .500 .842 .971 .708 .354 .160 .086 .144 .303 .554 .868 .936 .631 .289 .124 .068 .165 .348 .602 .886 .892 .550 .223 .086 .048 1346 .094 4646 -9.531 9.29325 .366170 45.541981 4.048544 Correlation Surface at 1446 4646 .015 .116 .482 .696 .710 .655 .625 .344 .071 .026 .135 .521 .804 .822 .726 .635 .303 .062 .041 .155 .545 .902 .923 .768 .626 .266 .058 .058 .167 .538 .960 .985 .775 .609 .240 .059 .073 .171 .503 .969 1.000 .761 .598 .230 .063 .085 .165 .453 .932 .965 .740 .598 .233 .069 .090 .149 .395 .859 .894 .720 .611 .240 .074 .092 .130 .339 .773 .815 .706 .626 .242 .078 .092 .109 .283 .684 .747 .701 .637 .232 .080 r_peak,r_snr = .2959652 5.14814 Correlation Surface of oversamples image at 1446 4646 .292 .468 .681 .853 .887 .795 .693 .643 .595 .284 .455 .680 .878 .931 .833 .712 .647 .592 .279 .444 .676 .896 .967 .865 .728 .651 .591 .276 .433 .667 .905 .991 .888 .740 .653 .593 .274 .422 .654 .903 1.000 .898 .744 .654 .595 .274 .412 .638 .889 .992 .893 .741 .653 .599 .277 .407 .624 .869 .973 .880 .736 .658 .611 .282 .403 .609 .845 .945 .861 .731 .665 .629 .282 .395 .588 .808 .905 .830 .718 .669 .644 1446 -1.531 4646 .469 5.14814 .042069 1.147655 .012764 Correlation Surface at 1546 4646 .012 .013 .234 .613 .802 .439 .096 .003 .001 .006 .019 .282 .706 .869 .450 .109 .006 .003 .003 .019 .319 .803 .935 .461 .120 .011 .004 .002 .016 .335 .875 .984 .473 .127 .016 .003 .002 .010 .323 .899 1.000 .481 .126 .018 .002 r_peak,r_snr = .2777809 9.46643 Correlation Surface of oversamples image at 1546 4646 .234 .376 .592 .856 .953 .785 .479 .201 .038 .209 .352 .579 .865 .978 .809 .488 .197 .032 .183 .327 .562 .863 .989 .822 .493 .194 .028 .161 .305 .548 .860 .998 .834 .502 .196 .026 .144 .287 .535 .855 1.000 .841 .511 .201 .027 .129 .268 .516 .836 .985 .833 .513 .205 .027 .116 .249 .494 .808 .956 .813 .509 .209 .030 .113 .243 .485 .796 .944 .812 .523 .228 .039 1546 -.031 4646 15.781 9.46643 .010168 2.300662 -.022030 Correlation Surface at 1646 4646 .227 .311 .404 .711 .723 .517 .413 .262 .198 .293 .340 .382 .739 .851 .607 .434 .269 .213 .402 .398 .388 .752 .946 .665 .430 .264 .224 .532 .477 .426 .758 .994 .692 .409 .251 .232 .637 .553 .494 .764 1.000 .699 .391 .237 .237 .677 .602 .578 .775 .972 .699 .389 .227 .235 .642 .603 .650 .782 .919 .700 .409 .221 .222 .569 .572 .684 .772 .847 .706 .451 .222 .199 .500 .529 .676 .740 .768 .715 .514 .237 .172 r_peak,r_snr = .3320671 3.51042 Correlation Surface of oversamples image at 1646 4646 .466 .607 .789 .941 .961 .822 .635 .493 .391 .506 .640 .810 .956 .977 .838 .645 .496 .388 .545 .670 .825 .963 .987 .853 .659 .505 .389 .584 .700 .840 .968 .996 .873 .683 .523 .399 .616 .726 .849 .966 1.000 .893 .712 .550 .417 .633 .736 .843 .948 .986 .900 .738 .579 .439 .636 .733 .823 .913 .956 .894 .758 .610 .466 .644 .737 .813 .890 .937 .900 .794 .660 .513 1646 .875 4646 3.781 3.51042 .009336 1.777616 .009456 Correlation Surface at 1746 4646 .383 .214 .375 .814 .797 .510 .371 .487 .304 .371 .207 .357 .833 .869 .535 .379 .505 .295 .369 .212 .359 .869 .943 .555 .385 .503 .267 .376 .228 .373 .895 .992 .565 .378 .473 .226 .387 .251 .391 .896 1.000 .556 .354 .425 .189 .397 .278 .411 .874 .976 .530 .317 .374 .168 .391 .309 .434 .842 .931 .486 .269 .329 .163 .364 .341 .467 .821 .876 .424 .220 .291 .168 .320 .374 .514 .827 .824 .355 .175 .253 .168 r_peak,r_snr = .2749444 3.57436 Correlation Surface of oversamples image at 1746 4646 .318 .432 .670 .914 .988 .866 .669 .503 .407 .316 .429 .666 .910 .991 .873 .674 .503 .402 .325 .438 .674 .915 .996 .877 .677 .500 .398 .339 .456 .689 .924 1.000 .878 .677 .496 .392 .357 .477 .707 .933 .999 .874 .672 .490 .383 .380 .501 .723 .936 .992 .863 .663 .480 .371 .406 .524 .734 .930 .976 .847 .652 .468 .357 .430 .543 .735 .912 .949 .827 .640 .457 .342 1746 .406 4646 4.219 3.57436 .013483 3.361902 .034549 Correlation Surface at 1846 4646 .045 .028 .023 .042 .269 .337 .007 .076 .179 .088 .009 .002 .079 .445 .520 .014 .140 .224 .133 .001 .001 .152 .683 .712 .023 .212 .244 .167 .000 .003 .243 .901 .843 .030 .261 .235 .185 .002 .001 .300 1.000 .856 .031 .266 .198 .182 .018 .000 .279 .920 .751 .020 .230 .137 .150 .064 .009 .187 .679 .569 .004 .173 .065 .103 .144 .031 .082 .395 .365 .003 .119 .012 .061 .236 .065 .017 .174 .190 .034 .083 .001 r_peak,r_snr = .1327842 11.05655 Correlation Surface of oversamples image at 1846 4646 .035 .232 .562 .865 .818 .377 .026 .080 .352 .044 .267 .603 .924 .909 .446 .041 .066 .335 .056 .300 .629 .954 .969 .504 .059 .050 .303 .069 .329 .641 .957 .999 .548 .078 .033 .258 .082 .350 .642 .940 1.000 .572 .097 .019 .206 .090 .355 .626 .903 .970 .573 .110 .009 .154 .090 .335 .585 .844 .910 .544 .113 .003 .109 .081 .296 .528 .773 .830 .491 .106 .001 .073 .068 .251 .467 .703 .747 .426 .091 .000 .044 1846 .813 4646 -1.844 11.05655 .026250 .672536 .032206 Correlation Surface at 1946 4646 .184 .149 .049 .163 .395 .265 .189 .072 .053 .239 .159 .026 .157 .533 .379 .191 .123 .020 .281 .178 .019 .164 .715 .518 .206 .178 .004 .299 .201 .023 .178 .896 .649 .242 .233 .000 .302 .230 .039 .191 1.000 .736 .307 .297 .001 .304 .272 .068 .191 .968 .743 .399 .376 .004 .312 .322 .106 .172 .813 .670 .493 .464 .011 .323 .367 .145 .139 .599 .556 .564 .548 .026 .324 .389 .175 .106 .396 .437 .591 .609 .050 r_peak,r_snr = .1673717 4.54816 Correlation Surface of oversamples image at 1946 4646 .004 .064 .298 .576 .661 .529 .333 .190 .117 .007 .085 .365 .684 .773 .620 .398 .236 .153 .014 .110 .433 .788 .877 .709 .473 .299 .205 .023 .134 .491 .872 .958 .785 .550 .375 .273 .033 .153 .527 .918 1.000 .832 .615 .456 .353 .043 .164 .535 .919 .996 .845 .663 .536 .442 .054 .167 .518 .883 .958 .833 .697 .618 .542 .063 .159 .474 .810 .888 .796 .714 .693 .643 .065 .137 .400 .696 .779 .726 .700 .738 .722 1946 .375 4646 2.719 4.54816 .009684 .664412 -.010621 Correlation Surface at 2046 4646 .237 .448 .438 .487 .653 .412 .266 .128 .000 .176 .365 .437 .529 .768 .473 .283 .168 .001 .132 .300 .460 .595 .880 .528 .277 .181 .004 .103 .253 .494 .673 .967 .571 .251 .160 .008 .085 .223 .521 .731 1.000 .593 .216 .122 .010 .074 .206 .535 .757 .977 .603 .192 .084 .012 .067 .197 .534 .755 .924 .613 .190 .061 .014 .058 .191 .525 .738 .873 .633 .216 .054 .017 .045 .181 .508 .717 .837 .662 .269 .064 .021 r_peak,r_snr = .2806259 5.72874 Correlation Surface of oversamples image at 2046 4646 .544 .701 .784 .858 .966 .980 .764 .432 .196 .544 .720 .817 .888 .980 .980 .762 .436 .202 .540 .732 .841 .910 .986 .974 .759 .443 .211 .540 .744 .864 .931 .994 .972 .764 .460 .229 .540 .754 .881 .948 1.000 .971 .773 .485 .255 .531 .750 .883 .948 .991 .960 .777 .509 .283 .513 .736 .871 .934 .971 .941 .778 .531 .311 .508 .737 .874 .937 .971 .946 .801 .573 .355 2046 -.313 4646 -.219 5.72874 .009511 1.080909 .022405 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .119 .006 .054 .025 .461 .220 .005 .053 .088 .104 .005 .093 .013 .594 .212 .000 .071 .085 .080 .002 .078 .017 .774 .217 .008 .102 .074 .047 .000 .032 .039 .943 .248 .023 .128 .053 .015 .001 .002 .077 1.000 .302 .026 .122 .022 .000 .007 .009 .113 .870 .358 .010 .075 .001 .020 .018 .046 .129 .598 .385 .001 .019 .016 .073 .034 .097 .121 .314 .364 .032 .001 .080 .129 .052 .156 .112 .121 .302 .105 .035 .164 r_peak,r_snr = .1224395 8.90544 Correlation Surface of oversamples image at 146 5046 .365 .134 .017 .373 .689 .481 .088 .025 .261 .298 .100 .030 .441 .809 .572 .114 .020 .263 .214 .059 .050 .509 .921 .670 .154 .010 .243 .134 .025 .077 .560 .996 .754 .205 .002 .206 .071 .005 .103 .576 1.000 .790 .253 .001 .163 .027 .000 .127 .555 .934 .776 .295 .009 .115 .002 .013 .156 .519 .835 .738 .345 .035 .059 .004 .042 .179 .457 .698 .662 .384 .079 .016 .023 .071 .174 .351 .508 .523 .373 .119 .001 146 -8.906 5046 6.313 8.90544 .007596 .713448 .006114 Correlation Surface at 246 5046 .072 .032 .043 .001 .149 .022 .000 .008 .004 .079 .033 .088 .000 .400 .091 .004 .010 .022 .088 .032 .119 .005 .735 .210 .011 .035 .049 .084 .024 .121 .019 .978 .297 .005 .121 .068 .058 .010 .098 .038 1.000 .273 .003 .297 .064 .019 .000 .055 .064 .828 .152 .070 .508 .036 .000 .003 .014 .105 .596 .036 .238 .631 .008 .022 .009 .001 .167 .412 .000 .421 .584 .000 .067 .006 .028 .247 .299 .025 .477 .400 .011 r_peak,r_snr = .1067767 9.61043 Correlation Surface of oversamples image at 246 5046 .081 .071 .005 .314 .716 .608 .312 .130 .037 .085 .076 .007 .371 .847 .730 .367 .139 .031 .081 .072 .011 .418 .942 .816 .401 .136 .020 .066 .058 .018 .455 .993 .855 .406 .120 .008 .042 .037 .030 .482 1.000 .847 .386 .096 .001 .021 .017 .047 .496 .961 .790 .340 .066 .002 .006 .004 .068 .493 .879 .688 .268 .033 .016 .000 .000 .093 .481 .774 .563 .187 .008 .047 .002 .007 .126 .474 .675 .446 .119 .000 .086 246 .125 5046 -3.750 9.61043 .011400 .944233 .053552 Correlation Surface at 346 5046 .177 .128 .175 .380 .823 .616 .196 .024 .002 .191 .128 .194 .450 .868 .599 .207 .027 .003 .190 .132 .221 .518 .924 .587 .204 .030 .008 .175 .136 .252 .573 .977 .587 .188 .030 .017 .148 .137 .282 .601 1.000 .595 .166 .027 .029 .113 .133 .307 .599 .977 .606 .147 .024 .039 .080 .126 .322 .577 .913 .624 .142 .024 .048 .056 .117 .321 .553 .833 .649 .158 .029 .052 .048 .114 .302 .532 .756 .676 .195 .037 .049 r_peak,r_snr = .2010523 6.66915 Correlation Surface of oversamples image at 346 5046 1.145 1.794 2.565 2.792 2.260 1.398 .768 .519 .460 1.195 1.844 2.627 2.943 2.511 1.631 .908 .587 .496 1.267 1.919 2.712 3.131 2.833 1.960 1.125 .697 .542 1.473 2.153 2.983 3.529 3.392 2.530 1.539 .937 .669 346 .781 5046 4.844 6.66915 .013680 3.660127 .010215 Correlation Surface at 446 5046 .047 .005 .007 .272 .690 .483 .058 .000 .007 .058 .008 .011 .305 .770 .510 .035 .004 .001 .056 .011 .019 .337 .873 .542 .019 .014 .001 .047 .016 .031 .364 .960 .568 .010 .025 .009 .044 .022 .043 .378 1.000 .588 .007 .029 .020 .054 .028 .050 .373 .964 .579 .006 .027 .031 .085 .036 .052 .352 .867 .525 .004 .026 .039 .136 .048 .049 .319 .744 .444 .001 .027 .042 .184 .063 .044 .283 .632 .380 .000 .033 .038 r_peak,r_snr = .2025657 10.45279 Correlation Surface of oversamples image at 446 5046 .051 .158 .362 .627 .821 .780 .494 .188 .035 .049 .160 .380 .676 .895 .849 .532 .196 .033 .046 .159 .392 .711 .952 .904 .560 .201 .032 .045 .160 .401 .733 .989 .940 .577 .203 .031 .045 .160 .403 .738 1.000 .953 .581 .201 .029 .044 .157 .395 .719 .977 .933 .564 .191 .026 .045 .153 .377 .681 .922 .882 .528 .173 .021 .048 .152 .360 .635 .852 .815 .484 .154 .016 .053 .153 .342 .584 .770 .736 .435 .134 .012 446 .188 5046 -.031 10.45280 .008062 1.328466 .000074 Correlation Surface at 546 5046 .004 .036 .315 .857 .855 .319 .178 .223 .072 .001 .014 .238 .833 .884 .333 .157 .176 .072 .000 .005 .182 .791 .923 .372 .149 .126 .068 .000 .003 .155 .749 .968 .427 .144 .082 .064 .001 .006 .163 .727 1.000 .474 .131 .050 .066 .005 .015 .203 .723 .990 .484 .104 .030 .079 .014 .031 .270 .740 .923 .445 .072 .020 .104 .028 .054 .349 .749 .799 .366 .042 .014 .133 .044 .078 .416 .728 .647 .274 .023 .009 .148 r_peak,r_snr = .2118865 6.99914 Correlation Surface of oversamples image at 546 5046 .071 .247 .533 .789 .866 .735 .484 .286 .205 .089 .279 .572 .835 .924 .799 .537 .317 .214 .110 .312 .606 .868 .964 .845 .576 .337 .215 .136 .348 .637 .890 .986 .871 .599 .347 .210 .171 .396 .674 .912 1.000 .886 .612 .352 .204 .213 .447 .711 .925 .996 .879 .608 .347 .194 .251 .487 .725 .903 .952 .833 .575 .324 .175 .284 .514 .718 .854 .877 .760 .522 .291 .152 .336 .560 .731 .824 .821 .705 .489 .276 .146 546 .969 5046 -.250 6.99914 .016263 4.061031 -.131831 Correlation Surface at 646 5046 .290 .158 .175 .361 .808 .888 .509 .362 .231 .243 .145 .196 .449 .882 .834 .486 .386 .207 .192 .130 .204 .514 .944 .787 .436 .382 .193 .144 .110 .189 .533 .985 .759 .369 .340 .178 .110 .086 .151 .500 1.000 .754 .305 .271 .156 .091 .064 .106 .436 .993 .768 .266 .205 .132 .087 .051 .070 .367 .967 .797 .262 .169 .117 .096 .048 .050 .309 .917 .831 .302 .174 .118 .121 .055 .044 .267 .838 .852 .387 .232 .141 r_peak,r_snr = .2225819 3.3371 Correlation Surface of oversamples image at 646 5046 .261 .391 .630 .882 .974 .829 .533 .267 .133 .229 .361 .613 .885 .995 .856 .549 .268 .128 .190 .320 .578 .867 .999 .876 .565 .272 .126 .151 .275 .535 .838 .995 .896 .588 .283 .131 .122 .240 .500 .817 1.000 .928 .625 .310 .147 .102 .212 .468 .793 .999 .957 .667 .346 .176 .080 .179 .423 .745 .968 .957 .692 .380 .209 .061 .147 .372 .684 .915 .934 .706 .415 .249 .059 .139 .355 .660 .899 .944 .751 .481 .321 646 .156 5046 8.781 3.33710 .040511 13.871576 -.625795 Correlation Surface at 746 5046 .106 .057 .377 .828 .814 .230 .100 .233 .081 .139 .074 .432 .900 .952 .312 .108 .180 .072 .166 .097 .432 .857 1.000 .408 .121 .112 .041 .177 .126 .380 .742 .978 .495 .145 .057 .011 .170 .155 .297 .606 .903 .534 .179 .028 .000 .151 .180 .210 .492 .810 .508 .220 .019 .002 .130 .196 .144 .414 .736 .436 .257 .028 .001 r_peak,r_snr = .1755203 6.51178 Correlation Surface of oversamples image at 746 5046 .124 .359 .596 .735 .721 .506 .243 .104 .092 .153 .394 .640 .810 .824 .602 .306 .138 .108 .182 .420 .670 .868 .910 .688 .367 .172 .124 .210 .439 .686 .904 .971 .757 .423 .208 .142 .232 .444 .685 .916 1.000 .800 .467 .241 .159 .243 .431 .658 .894 .988 .805 .488 .264 .172 .244 .401 .612 .845 .939 .773 .483 .276 .182 .244 .373 .568 .793 .880 .726 .470 .289 .198 .240 .344 .527 .744 .817 .670 .452 .301 .220 746 -.094 5046 -12.844 6.51178 .092784 3.671015 -.519530 Correlation Surface at 846 5046 .132 .256 .485 .856 .887 .727 .354 .136 .090 .134 .284 .509 .852 .919 .729 .372 .142 .088 .153 .333 .563 .855 .956 .715 .384 .165 .101 .178 .402 .648 .871 .992 .683 .384 .198 .120 .200 .488 .744 .880 1.000 .631 .367 .231 .136 .215 .583 .823 .863 .953 .558 .332 .258 .143 .218 .671 .857 .815 .846 .466 .288 .273 .141 .211 .725 .821 .740 .714 .369 .244 .276 .134 .193 .716 .718 .649 .594 .298 .212 .266 .123 r_peak,r_snr = .2577707 4.79621 Correlation Surface of oversamples image at 846 5046 .073 .100 .214 .450 .660 .673 .597 .562 .580 .103 .159 .307 .574 .768 .729 .616 .562 .564 .130 .223 .405 .691 .859 .771 .626 .555 .544 .156 .291 .509 .806 .944 .814 .644 .558 .537 .176 .351 .600 .895 1.000 .844 .657 .561 .533 .170 .373 .637 .910 .982 .819 .634 .535 .506 .149 .362 .625 .862 .904 .753 .586 .494 .470 .146 .372 .636 .839 .861 .727 .582 .498 .479 846 .938 5046 10.906 4.79621 .027974 1.470334 .112922 Correlation Surface at 946 5046 .119 .193 .375 .609 .671 .610 .498 .238 .121 .121 .164 .333 .618 .766 .702 .538 .239 .135 .137 .156 .318 .641 .870 .784 .561 .241 .156 .162 .167 .333 .664 .954 .848 .571 .249 .182 .192 .195 .381 .682 1.000 .892 .579 .261 .209 .221 .229 .449 .693 1.000 .913 .581 .270 .231 .239 .255 .517 .704 .966 .914 .577 .274 .244 .240 .266 .567 .716 .914 .896 .566 .278 .250 .224 .260 .588 .728 .848 .850 .543 .280 .253 r_peak,r_snr = .3109117 4.63272 Correlation Surface of oversamples image at 946 5046 .377 .504 .638 .769 .838 .790 .672 .559 .470 .385 .526 .681 .829 .904 .846 .709 .577 .476 .391 .543 .714 .878 .955 .886 .734 .589 .481 .394 .552 .737 .911 .987 .908 .746 .595 .483 .395 .553 .746 .928 1.000 .912 .747 .596 .485 .395 .548 .744 .932 .998 .904 .740 .596 .487 .397 .539 .733 .921 .982 .885 .728 .593 .487 .397 .522 .706 .891 .948 .852 .706 .584 .481 .398 .502 .669 .847 .902 .812 .680 .569 .470 946 -.563 5046 -8.750 4.63272 .016557 1.158890 -.023686 Correlation Surface at 1046 5046 .176 .139 .078 .197 .570 .576 .195 .132 .082 .182 .144 .106 .275 .694 .620 .192 .142 .130 .184 .162 .170 .376 .834 .706 .207 .161 .180 .187 .191 .276 .477 .952 .805 .223 .182 .215 .191 .227 .409 .550 1.000 .870 .223 .197 .225 .193 .256 .522 .558 .950 .870 .201 .209 .217 .186 .258 .554 .487 .820 .815 .168 .225 .202 .163 .222 .480 .362 .662 .741 .140 .251 .195 .120 .156 .337 .232 .520 .670 .125 .286 .196 r_peak,r_snr = .1865569 6.72075 Correlation Surface of oversamples image at 1046 5046 .814 1.076 1.837 3.098 3.840 3.089 1.567 .693 .576 .831 1.039 1.749 3.039 3.857 3.076 1.498 .632 .541 .805 .963 1.611 2.902 3.783 2.992 1.397 .559 .494 .854 .980 1.600 2.936 3.907 3.102 1.445 .587 .539 1046 -.438 5046 9.813 6.72075 .028719 .979396 .017778 Correlation Surface at 1146 5046 .070 .058 .131 .630 .996 .455 .085 .095 .150 .622 1.000 .474 .097 .132 .182 .605 .967 .515 .104 .148 .209 .569 .908 .583 .101 .137 .218 .510 .838 .671 .091 .113 .211 .440 .779 .766 r_peak,r_snr = .1986627 2.97521 Correlation Surface of oversamples image at 1146 5046 .460 .627 .846 .968 .941 .759 .484 .282 .236 .416 .575 .815 .968 .954 .756 .456 .244 .194 .383 .535 .795 .985 .984 .765 .436 .213 .158 .367 .508 .779 .994 1.000 .761 .412 .186 .130 .363 .491 .760 .990 .998 .742 .384 .163 .108 .370 .483 .744 .983 .989 .721 .362 .148 .093 .389 .487 .734 .971 .974 .699 .348 .142 .087 .427 .508 .730 .950 .943 .672 .340 .147 .092 1146 12.250 5046 -16.750 2.97521 .015923 5.926672 -.170716 Correlation Surface at 1246 5046 .324 .041 .047 .349 .693 .367 .045 .027 .042 .328 .063 .078 .412 .853 .524 .090 .032 .041 .311 .091 .122 .470 .958 .632 .141 .034 .032 .300 .123 .174 .526 1.000 .665 .181 .037 .021 .307 .154 .226 .579 .984 .637 .200 .041 .013 .324 .178 .272 .620 .928 .586 .201 .048 .010 .331 .188 .302 .622 .838 .535 .189 .054 .011 .306 .183 .312 .576 .728 .495 .166 .050 .014 r_peak,r_snr = .2689258 5.755 Correlation Surface of oversamples image at 1246 5046 .169 .361 .591 .767 .864 .824 .519 .173 .032 .209 .394 .622 .816 .928 .896 .590 .220 .049 .254 .424 .643 .850 .975 .949 .646 .264 .070 .304 .452 .652 .864 .999 .978 .686 .304 .092 .354 .476 .650 .859 1.000 .984 .709 .338 .115 .403 .494 .636 .834 .978 .968 .714 .362 .136 .451 .511 .618 .798 .944 .940 .710 .382 .157 .494 .524 .594 .752 .897 .903 .697 .395 .177 .520 .522 .557 .689 .832 .852 .670 .394 .188 1246 .219 5046 -11.719 5.75500 .009193 1.155046 .048436 Correlation Surface at 1346 5046 .015 .103 .311 .630 .807 .840 .547 .265 .129 .012 .096 .335 .722 .871 .903 .587 .278 .131 .011 .087 .346 .799 .936 .949 .617 .276 .124 .011 .081 .346 .835 .983 .962 .625 .260 .114 .010 .080 .341 .824 1.000 .940 .607 .234 .104 .010 .084 .335 .777 .983 .885 .571 .209 .094 .010 .092 .332 .714 .941 .813 .528 .192 .085 .011 .100 .327 .654 .889 .745 .489 .188 .077 .012 .106 .320 .606 .838 .692 .461 .193 .071 r_peak,r_snr = .4215591 5.28993 Correlation Surface of oversamples image at 1346 5046 .185 .355 .608 .823 .872 .806 .749 .722 .650 .172 .354 .627 .865 .922 .847 .776 .741 .666 .158 .347 .636 .892 .962 .884 .802 .758 .681 .144 .335 .633 .904 .987 .915 .828 .776 .696 .132 .320 .619 .898 1.000 .941 .855 .797 .714 .121 .303 .595 .874 .995 .957 .877 .816 .729 .111 .282 .558 .830 .966 .952 .884 .822 .732 .102 .261 .514 .772 .920 .931 .878 .816 .723 .098 .244 .475 .715 .872 .907 .869 .809 .714 1346 -.438 5046 -3.219 5.28993 .021001 .848013 .014409 Correlation Surface at 1446 5046 .494 .545 .643 .819 .937 .768 .642 .574 .506 .485 .542 .664 .835 .966 .812 .680 .576 .502 .466 .527 .672 .844 .987 .849 .719 .572 .485 .443 .506 .669 .852 .999 .870 .752 .567 .460 .422 .482 .659 .858 1.000 .869 .770 .562 .432 .408 .461 .647 .864 .993 .848 .768 .557 .409 .403 .448 .637 .863 .976 .812 .748 .551 .396 .407 .442 .624 .849 .948 .770 .712 .538 .392 .418 .443 .608 .824 .913 .729 .673 .521 .398 r_peak,r_snr = .5623331 2.10784 Correlation Surface of oversamples image at 1446 5046 .598 .705 .826 .936 .982 .942 .858 .775 .705 .594 .703 .826 .940 .993 .957 .874 .792 .721 .587 .698 .822 .939 .998 .966 .885 .804 .733 .581 .692 .816 .936 .999 .972 .892 .814 .743 .577 .689 .813 .934 1.000 .975 .897 .820 .750 .574 .687 .811 .931 .999 .975 .897 .821 .753 .572 .684 .807 .927 .993 .970 .892 .817 .751 .571 .683 .806 .923 .987 .963 .884 .811 .747 .574 .686 .808 .924 .984 .957 .877 .805 .744 1446 .125 5046 -.188 2.10784 .011697 4.767836 .159254 Correlation Surface at 1546 5046 .015 .013 .303 .693 .759 .527 .325 .140 .014 .022 .014 .299 .730 .850 .593 .361 .152 .023 .031 .015 .292 .767 .929 .644 .382 .150 .027 .041 .018 .284 .799 .984 .676 .385 .140 .023 .048 .022 .277 .815 1.000 .677 .370 .127 .016 .047 .025 .273 .802 .971 .643 .335 .114 .010 .039 .027 .272 .756 .900 .581 .291 .104 .007 .026 .030 .274 .691 .799 .506 .251 .100 .007 .014 .034 .282 .631 .698 .434 .222 .105 .010 r_peak,r_snr = .2952989 6.94636 Correlation Surface of oversamples image at 1546 5046 .099 .319 .585 .806 .916 .891 .776 .656 .543 .101 .320 .591 .827 .949 .925 .810 .689 .571 .103 .318 .592 .841 .974 .952 .835 .712 .587 .104 .316 .590 .849 .993 .972 .854 .726 .596 .105 .310 .582 .847 1.000 .981 .861 .728 .593 .104 .301 .566 .831 .990 .975 .853 .717 .578 .102 .291 .545 .807 .970 .957 .835 .695 .554 .101 .283 .527 .782 .945 .937 .814 .669 .527 .101 .275 .506 .751 .913 .908 .786 .638 .498 1546 .688 5046 -.969 6.94636 .014131 1.448991 .031193 Correlation Surface at 1646 5046 .210 .277 .511 .768 .800 .376 .067 .166 .585 .207 .224 .382 .723 .883 .452 .070 .156 .592 .183 .165 .268 .671 .957 .516 .072 .147 .593 .147 .121 .193 .621 1.000 .544 .069 .136 .581 .110 .100 .162 .577 1.000 .533 .063 .123 .550 .082 .104 .175 .540 .964 .503 .060 .111 .497 .064 .134 .228 .505 .905 .482 .065 .106 .429 .052 .185 .311 .474 .845 .491 .087 .113 .364 .042 .233 .385 .442 .789 .536 .128 .132 .320 r_peak,r_snr = .2188105 3.69616 Correlation Surface of oversamples image at 1646 5046 1.044 1.439 2.555 3.777 3.788 2.578 1.276 .599 .455 1.111 1.424 2.506 3.746 3.814 2.652 1.359 .653 .472 1.191 1.412 2.432 3.659 3.795 2.710 1.439 .705 .480 1.350 1.474 2.430 3.649 3.874 2.877 1.609 .812 .524 1646 -4.625 5046 -4.188 3.69616 .010168 4.845150 -.061325 Correlation Surface at 1746 5046 .057 .000 .155 .520 .636 .487 .315 .108 .009 .054 .000 .176 .570 .733 .475 .250 .103 .016 .049 .002 .180 .627 .843 .455 .177 .084 .020 .044 .002 .164 .672 .943 .432 .120 .065 .024 .040 .001 .134 .683 1.000 .407 .086 .052 .031 .035 .000 .097 .646 .997 .385 .074 .047 .040 .031 .000 .062 .568 .937 .365 .076 .049 .052 .029 .000 .037 .467 .834 .344 .086 .052 .062 .028 .000 .023 .371 .718 .321 .095 .053 .066 r_peak,r_snr = .222049 9.38678 Correlation Surface of oversamples image at 1746 5046 .184 .413 .663 .853 .887 .695 .369 .153 .093 .170 .400 .676 .900 .939 .726 .373 .141 .075 .150 .376 .677 .930 .970 .737 .369 .129 .060 .129 .349 .671 .949 .986 .735 .361 .120 .050 .113 .327 .668 .969 1.000 .733 .358 .118 .046 .099 .303 .656 .974 1.000 .722 .354 .119 .045 .081 .268 .620 .944 .965 .686 .335 .114 .042 .064 .232 .572 .894 .910 .638 .309 .105 .038 .058 .212 .544 .863 .876 .610 .298 .105 .039 1746 -.219 5046 -1.219 9.38678 .008610 1.671279 .017608 Correlation Surface at 1846 5046 .188 .402 .344 .285 .226 .308 .395 .318 .055 .231 .568 .422 .348 .403 .412 .350 .229 .016 .269 .750 .499 .388 .646 .557 .284 .162 .001 .298 .877 .569 .407 .876 .736 .217 .118 .001 .325 .896 .623 .435 1.000 .892 .172 .093 .002 .368 .818 .658 .504 1.000 .949 .153 .079 .000 .441 .685 .657 .626 .917 .861 .149 .070 .001 .544 .546 .597 .770 .803 .652 .130 .058 .003 .657 .439 .490 .871 .691 .401 .081 .045 .003 r_peak,r_snr = .1306747 5.95035 Correlation Surface of oversamples image at 1846 5046 .144 .195 .392 .674 .796 .698 .532 .352 .213 .170 .229 .443 .748 .874 .736 .521 .323 .191 .204 .268 .490 .809 .938 .763 .499 .284 .162 .251 .318 .536 .854 .982 .778 .474 .245 .133 .311 .378 .580 .879 1.000 .777 .442 .205 .104 .379 .447 .622 .885 .990 .753 .402 .165 .075 .450 .520 .659 .871 .951 .709 .357 .128 .050 .526 .604 .702 .851 .894 .651 .312 .098 .031 .605 .699 .751 .827 .821 .577 .263 .071 .017 1846 1.406 5046 -2.875 5.95035 .043976 1.365324 -.043796 Correlation Surface at 1946 5046 .022 .160 .212 .066 .144 .022 .002 .000 .008 .021 .098 .133 .155 .319 .035 .021 .002 .010 .030 .054 .054 .287 .581 .078 .029 .005 .009 .056 .029 .009 .402 .850 .164 .013 .001 .005 .104 .019 .000 .419 1.000 .283 .000 .003 .000 .172 .018 .004 .324 .943 .395 .025 .029 .006 .244 .023 .005 .186 .716 .460 .101 .088 .036 .297 .034 .004 .086 .466 .479 .200 .157 .088 .311 .053 .003 .041 .286 .470 .277 .203 .134 r_peak,r_snr = .1445958 7.78507 Correlation Surface of oversamples image at 1946 5046 .215 .001 .189 .537 .581 .307 .042 .015 .084 .167 .000 .235 .644 .738 .433 .079 .009 .089 .126 .004 .268 .727 .882 .570 .134 .002 .076 .100 .007 .272 .756 .979 .692 .200 .001 .053 .087 .006 .241 .716 1.000 .772 .264 .010 .028 .078 .003 .194 .634 .965 .816 .330 .032 .007 .068 .002 .149 .541 .905 .842 .405 .077 .001 .067 .000 .100 .424 .797 .824 .468 .139 .020 .080 .002 .047 .283 .628 .733 .487 .197 .056 1946 5.031 5046 3.938 7.78507 .014187 .457795 -.044709 Correlation Surface at 2046 5046 .491 .298 .263 .389 .456 .601 .403 .374 .472 .476 .277 .221 .415 .570 .690 .371 .305 .441 .432 .246 .218 .499 .733 .772 .343 .248 .399 .383 .214 .240 .615 .902 .817 .323 .216 .366 .353 .194 .274 .715 1.000 .801 .307 .212 .348 .354 .191 .298 .746 .970 .720 .295 .232 .345 .385 .210 .308 .701 .824 .599 .284 .273 .358 .433 .250 .310 .620 .640 .480 .280 .326 .390 .467 .299 .311 .549 .487 .395 .284 .376 .440 r_peak,r_snr = .2002312 2.96637 Correlation Surface of oversamples image at 2046 5046 .112 .185 .364 .565 .666 .685 .653 .530 .317 .103 .188 .394 .638 .774 .793 .722 .558 .316 .098 .196 .427 .710 .878 .892 .779 .577 .317 .096 .203 .455 .769 .960 .965 .813 .583 .315 .093 .205 .468 .800 1.000 .990 .809 .568 .308 .090 .202 .465 .798 .992 .962 .764 .531 .296 .092 .201 .457 .778 .953 .900 .698 .486 .286 .098 .201 .443 .741 .886 .811 .612 .432 .274 .099 .190 .409 .672 .780 .685 .500 .358 .247 2046 -1.281 5046 9.594 2.96637 .050180 .560987 .088992 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .109 .377 .157 .083 .088 .070 .032 .045 .000 .201 .490 .192 .175 .351 .252 .002 .001 .005 .292 .557 .255 .306 .723 .516 .009 .018 .026 .358 .542 .324 .431 .997 .750 .050 .071 .044 .392 .456 .377 .503 1.000 .811 .104 .118 .037 .411 .337 .389 .486 .747 .670 .142 .132 .013 .420 .215 .346 .385 .406 .432 .149 .115 .000 .409 .114 .271 .248 .144 .207 .124 .082 .014 .357 .049 .190 .123 .020 .061 .079 .047 .050 r_peak,r_snr = .1275883 9.03879 Correlation Surface of oversamples image at 146 5446 3.361 3.852 2.462 1.147 .756 3.588 3.805 2.327 1.139 .898 3.787 3.676 2.128 1.082 .992 3.934 3.470 1.866 .964 1.004 4.000 3.166 1.521 .761 .891 3.979 2.783 1.140 .518 .688 3.950 2.422 .814 .319 .490 3.860 2.064 .538 .165 .310 3.547 1.614 .276 .042 .132 146 1.188 5446 -2.938 9.03879 .047859 .332286 .024741 Correlation Surface at 246 5446 .034 .007 .010 .189 .515 .595 .341 .032 .080 .017 .010 .030 .268 .620 .732 .421 .041 .056 .004 .017 .058 .369 .773 .883 .512 .061 .032 .000 .021 .087 .464 .919 .955 .563 .093 .015 .002 .022 .110 .530 1.000 .879 .527 .130 .007 .004 .020 .123 .559 .980 .670 .402 .162 .005 .001 .021 .134 .558 .864 .418 .237 .175 .009 .002 .029 .148 .530 .691 .221 .102 .168 .020 .025 .052 .177 .487 .524 .117 .031 .149 .038 r_peak,r_snr = .1618822 6.89491 Correlation Surface of oversamples image at 246 5446 .056 .253 .574 .799 .826 .797 .756 .613 .346 .076 .293 .628 .852 .891 .888 .846 .677 .396 .098 .334 .678 .898 .943 .958 .912 .724 .441 .121 .371 .723 .939 .981 .998 .938 .739 .472 .144 .401 .756 .968 1.000 .999 .916 .714 .478 .164 .422 .776 .982 .995 .958 .845 .649 .457 .176 .431 .781 .982 .964 .878 .730 .549 .409 .180 .428 .775 .971 .918 .770 .588 .427 .339 .181 .422 .770 .963 .869 .658 .446 .307 .263 246 .813 5446 -6.188 6.89491 .105612 1.962896 .369533 Correlation Surface at 346 5446 .062 .005 .082 .005 .727 .846 .182 .008 .173 .041 .022 .106 .006 .825 .854 .144 .008 .172 .024 .049 .130 .009 .906 .816 .105 .007 .173 .013 .072 .142 .020 .966 .749 .077 .005 .166 .006 .077 .133 .038 1.000 .677 .062 .001 .136 .004 .061 .103 .064 .994 .605 .058 .001 .088 .004 .033 .066 .086 .937 .534 .060 .012 .041 .007 .010 .036 .093 .834 .464 .064 .032 .013 .016 .001 .018 .083 .714 .400 .066 .054 .002 r_peak,r_snr = .1860198 8.91087 Correlation Surface of oversamples image at 346 5446 .130 .002 .171 .648 .858 .510 .112 .002 .127 .146 .002 .182 .694 .920 .543 .117 .001 .119 .161 .002 .196 .736 .966 .558 .115 .002 .114 .173 .001 .214 .775 .993 .555 .106 .002 .111 .182 .001 .235 .809 1.000 .535 .092 .004 .109 .187 .000 .258 .836 .988 .501 .075 .007 .108 .184 .000 .284 .858 .964 .460 .058 .011 .105 .169 .001 .316 .879 .935 .421 .046 .013 .096 .148 .004 .346 .888 .896 .381 .036 .014 .084 346 .375 5446 -3.750 8.91087 .025564 7.769488 .403608 Correlation Surface at 446 5446 .231 .275 .372 .614 .835 .659 .498 .506 .481 .227 .266 .362 .640 .900 .689 .509 .515 .514 .238 .259 .349 .651 .956 .718 .515 .508 .530 .267 .260 .335 .638 .993 .751 .522 .490 .526 .310 .271 .319 .600 1.000 .789 .534 .468 .511 .356 .290 .302 .542 .966 .820 .551 .452 .488 .388 .309 .285 .476 .892 .819 .567 .443 .459 .395 .318 .266 .413 .790 .766 .563 .436 .424 .377 .314 .248 .363 .683 .668 .531 .420 .383 r_peak,r_snr = .4181085 3.39795 Correlation Surface of oversamples image at 446 5446 .324 .433 .635 .864 .953 .840 .666 .534 .457 .323 .427 .628 .868 .975 .871 .693 .552 .468 .325 .422 .618 .866 .991 .901 .720 .571 .478 .329 .418 .607 .857 .999 .928 .749 .592 .490 .334 .414 .593 .841 1.000 .951 .779 .615 .503 .339 .410 .576 .818 .992 .970 .809 .641 .518 .343 .404 .555 .788 .973 .979 .834 .664 .532 .344 .394 .529 .750 .943 .977 .851 .684 .544 .342 .382 .501 .706 .903 .963 .860 .698 .554 446 .156 5446 1.813 3.39795 .008626 .727877 -.057500 Correlation Surface at 546 5446 .023 .339 .803 .246 .374 .775 .452 .374 .250 .000 .169 .752 .314 .510 .809 .359 .361 .196 .024 .068 .699 .434 .700 .836 .253 .315 .174 .044 .029 .652 .581 .889 .845 .166 .258 .191 .029 .022 .604 .697 1.000 .819 .112 .212 .244 .005 .031 .537 .733 .994 .753 .086 .185 .319 .001 .044 .439 .675 .889 .661 .082 .179 .382 .012 .049 .322 .555 .750 .569 .097 .194 .397 .013 .038 .215 .429 .638 .495 .129 .221 .356 r_peak,r_snr = .1531824 4.8323 Correlation Surface of oversamples image at 546 5446 .820 .900 .839 .793 .842 .913 .835 .623 .484 .790 .923 .909 .876 .909 .957 .851 .600 .429 .750 .925 .960 .943 .962 .989 .860 .578 .377 .693 .899 .982 .986 .993 .998 .853 .548 .326 .625 .846 .972 1.000 1.000 .988 .832 .515 .277 .559 .785 .945 1.000 .999 .974 .813 .489 .241 .492 .715 .903 .987 .991 .955 .790 .467 .216 .416 .626 .832 .944 .955 .908 .741 .431 .188 .340 .531 .745 .879 .898 .842 .673 .383 .159 546 1.281 5446 -9.219 4.83230 .101352 1.308974 .219749 Correlation Surface at 646 5446 .200 .015 .033 .029 .026 .032 .023 .000 .327 .038 .006 .187 .130 .011 .018 .000 .426 .074 .004 .488 .337 .000 .022 .001 .463 .120 .042 .821 .574 .002 .036 .007 .432 .159 .092 1.000 .719 .008 .056 .024 .357 .169 .108 .903 .703 .012 .065 .052 .274 .143 .080 .593 .547 .015 .055 .082 .204 .104 .038 .263 .346 .017 .032 .107 .155 .079 .013 .065 .183 .020 .012 .122 r_peak,r_snr = .1278307 7.68181 Correlation Surface of oversamples image at 646 5446 .054 .020 .048 .341 .499 .344 .138 .033 .004 .036 .007 .091 .476 .671 .462 .187 .046 .005 .022 .001 .133 .600 .830 .570 .228 .055 .005 .011 .000 .163 .684 .947 .650 .253 .057 .004 .004 .001 .170 .709 1.000 .690 .259 .052 .002 .002 .001 .151 .667 .976 .682 .246 .042 .000 .000 .000 .113 .566 .881 .629 .219 .030 .000 .000 .000 .071 .438 .746 .557 .190 .021 .002 .000 .002 .033 .302 .590 .473 .162 .015 .005 646 -11.531 5446 -6.906 7.68181 .011886 .298868 .004412 Correlation Surface at 846 5446 .183 .362 .635 .787 .796 .587 .443 .417 .458 .191 .373 .674 .864 .860 .566 .416 .455 .466 .207 .404 .735 .935 .932 .568 .391 .497 .457 .231 .452 .805 .969 .986 .592 .380 .534 .436 .257 .503 .865 .951 1.000 .634 .385 .558 .414 .281 .547 .897 .895 .971 .676 .399 .561 .401 .306 .580 .889 .822 .916 .701 .411 .544 .401 .332 .601 .847 .759 .859 .701 .413 .507 .407 .367 .613 .786 .717 .816 .675 .407 .462 .413 r_peak,r_snr = .3606615 3.30348 Correlation Surface of oversamples image at 846 5446 .655 .747 .836 .908 .893 .749 .547 .401 .349 .728 .812 .880 .943 .933 .785 .562 .396 .338 .799 .870 .916 .970 .967 .823 .584 .399 .334 .859 .914 .936 .981 .991 .857 .607 .406 .333 .900 .938 .938 .976 1.000 .882 .629 .413 .332 .922 .943 .923 .956 .994 .895 .644 .420 .332 .925 .930 .895 .924 .974 .896 .652 .425 .332 .908 .899 .855 .883 .942 .881 .650 .425 .330 .869 .852 .805 .833 .897 .849 .635 .418 .323 846 .875 5446 -8.625 3.30348 .023362 1.076035 -.115031 Correlation Surface at 946 5446 .031 .032 .005 .475 .691 .402 .190 .140 .071 .052 .065 .004 .551 .806 .430 .184 .090 .077 .070 .089 .005 .598 .905 .459 .172 .045 .077 .076 .087 .010 .610 .973 .489 .154 .016 .076 .067 .058 .022 .599 1.000 .500 .126 .002 .074 .050 .023 .045 .578 .976 .467 .085 .001 .066 .034 .002 .085 .556 .905 .375 .043 .008 .049 .028 .002 .142 .540 .782 .239 .012 .021 .028 .035 .009 .203 .532 .624 .105 .000 .035 .010 r_peak,r_snr = .1520858 6.38112 Correlation Surface of oversamples image at 946 5446 .003 .074 .258 .562 .863 .938 .759 .477 .216 .015 .113 .314 .614 .894 .954 .775 .496 .218 .032 .155 .373 .668 .920 .953 .769 .495 .210 .055 .203 .442 .737 .961 .961 .764 .494 .206 .075 .246 .506 .802 1.000 .961 .744 .477 .196 .079 .261 .530 .821 .989 .906 .667 .411 .159 .068 .247 .515 .794 .928 .802 .544 .306 .105 .063 .247 .521 .799 .908 .739 .455 .230 .072 946 -.313 5446 2.844 6.38112 .019373 6.054486 -.013594 Correlation Surface at 1046 5446 .001 .027 .202 .529 .421 .129 .103 .043 .015 .001 .024 .209 .580 .597 .273 .127 .045 .014 .009 .024 .239 .659 .793 .447 .136 .034 .013 .022 .031 .284 .736 .948 .591 .121 .016 .014 .034 .044 .324 .771 1.000 .655 .089 .004 .013 .040 .055 .334 .740 .926 .621 .054 .000 .011 .039 .055 .300 .648 .764 .518 .029 .001 .008 .034 .039 .232 .530 .583 .402 .018 .001 .005 r_peak,r_snr = .2382065 10.14282 Correlation Surface of oversamples image at 1046 5446 .381 .568 .705 .763 .719 .525 .253 .085 .028 .393 .587 .752 .862 .839 .591 .242 .049 .006 .402 .597 .776 .929 .935 .643 .227 .023 .000 .403 .592 .769 .952 .994 .676 .209 .007 .011 .382 .559 .721 .919 1.000 .681 .185 .000 .037 .348 .511 .652 .852 .965 .663 .162 .002 .074 .320 .475 .595 .787 .921 .643 .150 .006 .105 .291 .440 .542 .718 .861 .614 .143 .008 .125 .243 .388 .472 .623 .761 .552 .128 .011 .143 1046 1.375 5446 11.219 10.14283 .017860 .329024 -.005325 Correlation Surface at 1146 5446 .084 .177 .395 .834 .947 .385 .194 .101 .103 .080 .176 .417 .853 .949 .357 .150 .088 .109 .087 .182 .426 .827 .961 .371 .122 .088 .141 .105 .184 .410 .769 .982 .427 .117 .105 .204 .126 .176 .364 .700 1.000 .508 .134 .142 .288 .134 .155 .299 .631 .993 .581 .169 .196 .363 .122 .125 .238 .569 .933 .609 .207 .255 .398 .093 .094 .196 .512 .815 .564 .223 .292 .381 .056 .070 .175 .458 .660 .454 .200 .282 .322 r_peak,r_snr = .2274549 4.70625 Correlation Surface of oversamples image at 1146 5446 1.273 1.916 2.807 3.673 4.000 3.581 2.665 1.838 1.428 1.259 1.941 2.821 3.648 3.936 3.491 2.589 1.781 1.347 1.268 1.975 2.820 3.601 3.880 3.460 2.595 1.790 1.308 1.268 1.980 2.772 3.510 3.814 3.465 2.660 1.851 1.300 1.252 1.949 2.673 3.374 3.734 3.493 2.768 1.950 1.314 1146 -.531 5446 2.219 4.70625 .282825 23.479874 -2.528552 Correlation Surface at 1246 5446 .053 .227 .345 .678 .712 .479 .355 .183 .071 .051 .227 .342 .708 .800 .517 .380 .194 .082 .059 .229 .334 .715 .888 .584 .432 .222 .088 .079 .232 .330 .714 .960 .660 .501 .267 .092 .119 .238 .331 .711 1.000 .717 .561 .321 .096 .181 .248 .335 .704 .997 .731 .584 .367 .103 .255 .260 .339 .688 .953 .701 .560 .392 .116 .319 .269 .346 .664 .880 .645 .502 .398 .137 .346 .271 .352 .633 .798 .596 .440 .393 .166 r_peak,r_snr = .2409469 4.8918 Correlation Surface of oversamples image at 1246 5446 .808 1.165 2.004 3.082 3.720 3.774 3.639 3.555 3.213 .847 1.258 2.136 3.205 3.820 3.853 3.666 3.511 3.134 .895 1.363 2.272 3.312 3.887 3.895 3.653 3.414 2.986 .994 1.524 2.460 3.458 3.987 3.979 3.692 3.363 2.862 1246 1.219 5446 -7.219 4.89180 .022461 2.761600 -.116477 Correlation Surface at 1346 5446 .162 .176 .241 .521 .803 .530 .159 .055 .076 .147 .184 .278 .582 .878 .566 .157 .039 .072 .127 .184 .317 .663 .937 .582 .155 .032 .067 .107 .177 .352 .755 .979 .580 .152 .031 .059 .094 .165 .374 .840 1.000 .567 .149 .033 .047 .088 .154 .378 .896 .999 .549 .146 .038 .034 .092 .148 .369 .914 .977 .531 .142 .041 .023 .104 .149 .355 .896 .939 .514 .136 .041 .015 .121 .160 .345 .856 .891 .500 .127 .038 .010 r_peak,r_snr = .397907 6.77876 Correlation Surface of oversamples image at 1346 5446 .298 .416 .594 .786 .889 .817 .603 .367 .184 .332 .465 .652 .841 .933 .849 .621 .375 .186 .364 .514 .708 .889 .967 .869 .631 .378 .186 .394 .561 .762 .930 .988 .878 .633 .377 .184 .420 .605 .810 .962 1.000 .879 .631 .374 .182 .441 .641 .849 .983 1.000 .871 .624 .368 .179 .453 .665 .874 .989 .986 .852 .609 .359 .174 .457 .678 .885 .984 .963 .826 .592 .348 .168 .459 .684 .890 .976 .941 .802 .576 .338 .164 1346 .844 5446 -3.188 6.77876 .022817 3.103687 .236574 Correlation Surface at 1546 5446 .135 .059 .018 .231 .513 .376 .069 .099 .222 .098 .083 .034 .282 .640 .473 .091 .092 .186 .055 .089 .064 .363 .793 .578 .131 .121 .176 .019 .071 .100 .453 .934 .640 .189 .193 .190 .002 .039 .126 .512 1.000 .619 .257 .304 .217 .000 .013 .132 .513 .943 .513 .323 .427 .236 .000 .004 .121 .463 .782 .369 .371 .521 .234 .003 .003 .112 .400 .592 .242 .393 .560 .206 .022 .011 .119 .364 .438 .158 .388 .537 .164 r_peak,r_snr = .1962111 6.2798 Correlation Surface of oversamples image at 1546 5446 .156 .292 .514 .770 .901 .861 .709 .532 .413 .172 .329 .572 .843 .953 .867 .706 .561 .475 .184 .357 .618 .900 .981 .847 .683 .576 .533 .198 .384 .660 .950 1.000 .820 .655 .590 .594 .212 .404 .689 .983 1.000 .782 .619 .594 .648 .213 .400 .683 .967 .953 .709 .554 .565 .665 .207 .379 .646 .911 .869 .613 .471 .507 .642 .224 .384 .639 .886 .819 .555 .421 .474 .633 1546 -.219 5446 -6.188 6.27980 .015315 .601940 .042888 Correlation Surface at 1646 5446 .315 .214 .331 .722 .734 .395 .084 .000 .001 .287 .208 .338 .776 .826 .437 .086 .001 .005 .231 .175 .329 .820 .918 .488 .097 .006 .017 .175 .130 .307 .848 .983 .526 .106 .017 .040 .137 .090 .281 .850 1.000 .525 .104 .027 .066 .117 .067 .256 .816 .966 .484 .088 .033 .088 .117 .064 .239 .746 .889 .424 .071 .035 .100 .135 .082 .237 .657 .784 .367 .062 .037 .100 .168 .128 .251 .571 .677 .324 .062 .039 .092 r_peak,r_snr = .2911315 5.88282 Correlation Surface of oversamples image at 1646 5446 .260 .293 .472 .717 .861 .848 .743 .600 .436 .247 .292 .489 .753 .911 .904 .797 .650 .481 .232 .291 .504 .786 .954 .952 .844 .692 .521 .216 .288 .517 .811 .986 .986 .876 .720 .549 .203 .286 .525 .825 1.000 .998 .885 .727 .559 .194 .284 .527 .826 .995 .989 .872 .712 .551 .192 .288 .530 .819 .977 .963 .842 .683 .534 .198 .295 .531 .803 .943 .918 .795 .642 .506 .207 .303 .522 .768 .884 .847 .725 .583 .464 1646 .750 5446 .500 5.88282 .009241 1.174659 .010708 Correlation Surface at 1746 5446 .020 .031 .109 .425 .692 .389 .064 .008 .023 .017 .035 .111 .407 .761 .433 .067 .008 .035 .009 .026 .090 .382 .860 .497 .075 .010 .044 .003 .014 .057 .347 .953 .570 .090 .016 .046 .000 .005 .027 .301 1.000 .634 .111 .026 .041 .000 .003 .010 .251 .985 .668 .136 .040 .034 .001 .004 .005 .209 .917 .670 .160 .053 .030 .000 .009 .006 .189 .813 .643 .175 .060 .030 .000 .016 .015 .197 .708 .594 .181 .060 .032 r_peak,r_snr = .2569538 10.77726 Correlation Surface of oversamples image at 1746 5446 .044 .130 .353 .687 .913 .838 .551 .284 .138 .039 .124 .348 .697 .942 .874 .576 .298 .146 .032 .113 .338 .701 .967 .907 .601 .312 .155 .023 .098 .321 .697 .989 .943 .632 .332 .168 .014 .081 .298 .684 1.000 .975 .662 .354 .184 .007 .062 .269 .656 .990 .988 .682 .371 .197 .002 .046 .238 .616 .962 .984 .693 .383 .208 .000 .035 .211 .577 .930 .978 .705 .401 .225 .000 .027 .188 .536 .887 .960 .711 .417 .240 1746 .250 5446 .313 10.77726 .009026 1.260592 -.075372 Correlation Surface at 1846 5446 .011 .062 .212 .435 .942 .970 .560 .335 .126 .009 .063 .218 .461 .979 .999 .579 .349 .125 .005 .058 .203 .478 1.000 .973 .554 .360 .134 .001 .051 .173 .481 .996 .898 .492 .359 .147 .000 .045 .139 .473 .969 .801 .413 .340 .156 .002 .042 .112 .460 .929 .712 .342 .302 .149 .006 .043 .101 .452 .893 .653 .293 .256 .125 r_peak,r_snr = .3300685 6.00724 Correlation Surface of oversamples image at 1846 5446 .248 .385 .617 .874 .978 .866 .656 .471 .353 .258 .398 .631 .886 .987 .877 .671 .485 .362 .266 .409 .646 .897 .993 .882 .678 .494 .369 .272 .421 .663 .911 .999 .883 .680 .499 .375 .274 .431 .679 .921 1.000 .876 .673 .496 .378 .269 .434 .687 .923 .990 .858 .653 .483 .375 .261 .433 .692 .921 .977 .836 .629 .466 .370 .255 .437 .703 .927 .972 .820 .608 .450 .366 .250 .440 .713 .932 .967 .806 .588 .434 .360 1846 1.438 5446 -13.125 6.00724 .018931 3.888309 .207021 Correlation Surface at 2046 5446 .138 .416 .615 .709 .641 .646 .637 .601 .769 .178 .424 .580 .733 .748 .689 .633 .581 .704 .227 .455 .549 .736 .883 .751 .654 .607 .661 .259 .501 .540 .704 .995 .820 .697 .679 .657 .256 .547 .564 .634 1.000 .872 .750 .774 .689 .226 .578 .619 .550 .859 .858 .786 .852 .744 .187 .573 .679 .487 .633 .753 .774 .872 .794 .153 .521 .709 .450 .420 .601 .709 .818 .805 .137 .442 .687 .442 .284 .463 .619 .714 .758 r_peak,r_snr = .2479275 3.00716 Correlation Surface of oversamples image at 2046 5446 .591 .625 .737 .823 .859 .582 .612 .748 .866 .904 .572 .596 .748 .898 .946 .558 .575 .734 .914 .980 .541 .554 .712 .913 1.000 .527 .533 .681 .893 .999 .513 .512 .643 .854 .975 .493 .488 .596 .796 .928 .490 .480 .564 .746 .882 2046 1.750 5446 -4.250 3.00716 .025094 .236444 -.032132 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .074 .261 .500 .704 .750 .503 .369 .342 .276 .074 .266 .544 .770 .818 .513 .357 .320 .239 .072 .257 .556 .837 .917 .532 .325 .265 .195 .063 .233 .541 .871 .992 .540 .280 .206 .167 .050 .205 .514 .856 1.000 .521 .238 .167 .167 .037 .189 .496 .808 .930 .481 .211 .156 .201 .027 .194 .506 .753 .821 .451 .208 .171 .265 r_peak,r_snr = .2739178 3.78527 Correlation Surface of oversamples image at 146 5846 .403 .540 .672 .819 .864 .718 .487 .326 .267 .396 .542 .684 .848 .916 .778 .530 .341 .262 .383 .539 .689 .868 .958 .830 .569 .355 .256 .364 .529 .687 .876 .985 .869 .600 .364 .249 .344 .518 .683 .878 1.000 .894 .621 .372 .242 .326 .509 .679 .874 1.000 .902 .631 .376 .237 .309 .499 .670 .857 .976 .882 .622 .374 .234 .295 .490 .658 .830 .933 .837 .597 .368 .235 .293 .494 .660 .811 .890 .791 .573 .370 .248 146 -.438 5846 11.813 3.78527 .010567 .573117 .002888 Correlation Surface at 246 5846 .230 .485 .591 .598 .463 .328 .036 .000 .003 .220 .467 .581 .682 .628 .452 .051 .002 .011 .183 .375 .542 .736 .811 .602 .066 .008 .021 .141 .270 .484 .735 .954 .743 .081 .017 .029 .110 .190 .417 .677 1.000 .841 .104 .022 .032 .098 .145 .353 .576 .932 .862 .136 .016 .028 .103 .127 .299 .464 .791 .813 .174 .004 .016 .120 .129 .256 .373 .641 .717 .205 .000 .003 .140 .141 .221 .325 .531 .608 .216 .007 .001 r_peak,r_snr = .1766301 7.38852 Correlation Surface of oversamples image at 246 5846 .567 .791 .891 .908 .916 .872 .749 .608 .506 .528 .764 .903 .941 .943 .897 .787 .657 .564 .470 .710 .893 .967 .969 .917 .814 .694 .611 .404 .639 .866 .984 .990 .928 .829 .720 .652 .334 .556 .818 .986 1.000 .926 .828 .732 .681 .268 .470 .756 .968 .994 .910 .812 .729 .697 .213 .390 .687 .933 .972 .881 .784 .717 .706 .164 .314 .607 .872 .923 .831 .739 .689 .700 .122 .244 .516 .785 .848 .762 .679 .648 .680 246 -2.719 5846 1.219 7.38852 .084908 1.077696 -.202268 Correlation Surface at 346 5846 .004 .024 .332 .591 .553 .393 .161 .025 .053 .001 .065 .381 .683 .703 .495 .176 .010 .080 .000 .108 .426 .747 .842 .581 .192 .005 .095 .002 .117 .455 .787 .949 .630 .203 .006 .089 .011 .077 .464 .813 1.000 .631 .199 .012 .065 .035 .023 .449 .835 .997 .581 .168 .018 .035 .062 .000 .414 .850 .945 .493 .110 .017 .012 .067 .009 .370 .857 .868 .384 .046 .009 .002 .043 .014 .335 .859 .791 .285 .007 .001 .000 r_peak,r_snr = .1428216 5.91555 Correlation Surface of oversamples image at 346 5846 .298 1.369 2.511 2.945 2.713 2.439 2.498 2.584 2.134 .228 1.292 2.546 3.068 2.855 2.522 2.470 2.423 1.884 .171 1.199 2.549 3.191 3.035 2.639 2.430 2.209 1.581 .174 1.224 2.705 3.518 3.461 2.999 2.590 2.156 1.413 346 -.219 5846 -1.156 5.91555 .074396 6.385827 .332978 Correlation Surface at 446 5846 .113 .027 .016 .182 .475 .316 .114 .090 .080 .134 .054 .014 .267 .646 .318 .088 .064 .046 .139 .077 .014 .347 .814 .304 .057 .039 .018 .126 .081 .017 .411 .941 .285 .032 .021 .004 .100 .066 .025 .458 1.000 .273 .020 .012 .000 .068 .042 .037 .481 .997 .280 .021 .009 .000 .039 .018 .050 .480 .953 .312 .036 .011 .000 .017 .004 .067 .467 .907 .369 .070 .019 .002 .006 .000 .088 .452 .881 .430 .110 .033 .005 r_peak,r_snr = .2164198 7.69207 Correlation Surface of oversamples image at 446 5846 .010 .129 .411 .759 .839 .567 .255 .093 .039 .013 .149 .465 .844 .910 .591 .249 .080 .028 .017 .167 .509 .909 .961 .608 .244 .070 .020 .022 .186 .543 .952 .992 .616 .240 .063 .015 .028 .203 .566 .972 1.000 .615 .235 .058 .012 .034 .215 .577 .969 .986 .604 .231 .055 .010 .040 .221 .573 .945 .954 .586 .227 .054 .010 .046 .226 .564 .912 .915 .568 .226 .057 .012 .052 .228 .550 .872 .872 .549 .228 .062 .015 446 -.219 5846 -2.844 7.69207 .005269 1.695576 .031098 Correlation Surface at 546 5846 .273 .219 .190 .412 .970 .804 .596 .291 .102 .300 .197 .142 .394 .983 .838 .605 .195 .060 .317 .169 .118 .419 .985 .875 .643 .137 .035 .328 .166 .133 .477 .990 .930 .691 .109 .023 .342 .203 .207 .557 1.000 .985 .716 .102 .018 .365 .295 .359 .633 .989 .980 .670 .112 .021 .393 .433 .567 .673 .923 .875 .540 .131 .036 .423 .580 .761 .666 .793 .685 .365 .155 .077 .460 .696 .874 .618 .614 .462 .208 .182 .161 r_peak,r_snr = .1510298 4.1605 Correlation Surface of oversamples image at 546 5846 .181 .218 .415 .742 .989 .896 .621 .463 .369 .144 .189 .398 .740 .992 .900 .627 .471 .377 .115 .171 .393 .750 1.000 .908 .645 .496 .402 .097 .162 .398 .755 .988 .895 .653 .521 .431 .087 .164 .410 .758 .961 .868 .656 .546 .460 .087 .177 .435 .766 .936 .846 .667 .577 .489 .100 .205 .470 .780 .916 .830 .682 .609 .514 546 3.094 5846 -10.781 4.16050 .335525 44.297623 3.451191 Correlation Surface at 646 5846 .022 .092 .116 .059 .271 .456 .405 .126 .023 .002 .049 .143 .161 .473 .484 .318 .125 .030 .001 .037 .170 .320 .713 .462 .208 .110 .041 .007 .048 .173 .477 .909 .404 .123 .087 .050 .036 .079 .138 .556 1.000 .335 .077 .064 .044 .102 .112 .079 .518 .971 .280 .068 .055 .029 .183 .120 .027 .393 .851 .259 .097 .068 .014 .242 .090 .002 .254 .697 .278 .166 .108 .009 .263 .047 .003 .143 .558 .337 .262 .162 .013 r_peak,r_snr = .1206928 7.13705 Correlation Surface of oversamples image at 646 5846 .163 .243 .393 .634 .854 .798 .482 .205 .084 .153 .251 .435 .702 .912 .823 .481 .194 .075 .141 .252 .468 .760 .961 .848 .489 .193 .073 .124 .243 .485 .800 .995 .867 .502 .201 .077 .102 .220 .479 .809 1.000 .872 .516 .215 .086 .077 .186 .451 .788 .979 .865 .531 .235 .101 .057 .154 .413 .753 .947 .859 .555 .265 .123 .039 .121 .368 .700 .897 .845 .581 .302 .152 .021 .084 .304 .615 .813 .800 .588 .329 .177 646 5.063 5846 -10.688 7.13705 .025114 1.900889 .103793 Correlation Surface at 846 5846 .061 .065 .186 .574 .627 .379 .084 .002 .009 .050 .075 .229 .696 .779 .444 .118 .007 .013 .049 .089 .262 .791 .906 .506 .154 .019 .021 .058 .106 .276 .834 .983 .546 .178 .036 .032 .078 .125 .267 .819 1.000 .557 .180 .046 .042 .109 .146 .239 .751 .962 .542 .163 .044 .045 .147 .165 .202 .649 .889 .515 .139 .032 .036 .184 .172 .161 .531 .797 .491 .118 .018 .023 .213 .164 .119 .409 .693 .481 .109 .011 .014 r_peak,r_snr = .2335939 8.60704 Correlation Surface of oversamples image at 846 5846 .086 .250 .482 .745 .924 .905 .755 .519 .247 .090 .263 .511 .785 .967 .942 .782 .537 .254 .090 .265 .522 .805 .989 .961 .793 .542 .254 .088 .259 .520 .810 .997 .966 .790 .536 .250 .088 .250 .512 .809 1.000 .963 .778 .524 .245 .089 .238 .497 .804 .999 .955 .759 .506 .237 .087 .221 .474 .788 .989 .938 .732 .481 .226 .086 .203 .447 .771 .979 .923 .706 .456 .216 .091 .192 .430 .764 .984 .924 .696 .443 .212 846 -.844 5846 3.781 8.60704 .017485 1.823920 -.062115 Correlation Surface at 1146 5846 .255 .393 .525 .769 .682 .344 .212 .258 .256 .253 .364 .541 .843 .802 .433 .264 .305 .250 .270 .357 .566 .907 .916 .516 .310 .338 .228 .290 .356 .584 .944 .990 .571 .335 .341 .198 .298 .342 .581 .941 1.000 .589 .334 .316 .169 .287 .317 .571 .914 .966 .586 .327 .280 .150 .265 .287 .562 .879 .917 .588 .331 .249 .147 .241 .258 .561 .847 .876 .609 .355 .235 .160 .227 .235 .564 .821 .851 .651 .401 .243 .187 r_peak,r_snr = .2372152 4.19439 Correlation Surface of oversamples image at 1146 5846 .518 .562 .691 .868 .969 .956 .866 .715 .523 .521 .563 .694 .877 .983 .970 .873 .712 .513 .520 .562 .694 .881 .991 .977 .875 .705 .499 .517 .562 .697 .887 .999 .985 .878 .701 .490 .506 .555 .695 .889 1.000 .984 .873 .691 .480 .479 .535 .680 .875 .984 .965 .853 .672 .463 .442 .503 .653 .850 .957 .939 .832 .655 .451 .412 .478 .636 .837 .945 .931 .831 .660 .458 1146 -.344 5846 3.781 4.19439 .026169 2.731328 -.071537 Correlation Surface at 1246 5846 .015 .094 .254 .456 .720 .647 .246 .077 .071 .021 .123 .288 .514 .817 .682 .252 .074 .081 .033 .161 .321 .576 .915 .679 .245 .083 .099 .050 .197 .346 .629 .984 .628 .224 .103 .125 .069 .214 .355 .660 1.000 .541 .193 .128 .154 .087 .207 .345 .665 .963 .446 .164 .152 .177 .105 .184 .320 .649 .896 .372 .142 .168 .187 .122 .159 .289 .623 .828 .330 .131 .172 .178 .139 .141 .261 .593 .764 .312 .128 .166 .157 r_peak,r_snr = .3336605 6.82134 Correlation Surface of oversamples image at 1246 5846 .224 .336 .517 .736 .890 .907 .771 .524 .294 .241 .355 .551 .789 .933 .910 .741 .490 .276 .258 .375 .586 .838 .967 .901 .697 .445 .252 .276 .396 .620 .880 .990 .880 .643 .392 .224 .294 .418 .650 .911 1.000 .851 .586 .340 .195 .310 .439 .674 .929 .996 .814 .529 .290 .168 .323 .456 .690 .935 .980 .773 .474 .246 .144 .332 .469 .701 .931 .956 .732 .427 .209 .123 .339 .482 .710 .925 .934 .698 .390 .182 .108 1246 -.125 5846 8.813 6.82134 .011025 .887910 .075978 Correlation Surface at 1346 5846 .152 .318 .520 .778 .818 .532 .314 .275 .210 .171 .342 .541 .838 .902 .602 .362 .305 .218 .192 .360 .554 .879 .964 .663 .419 .344 .237 .209 .365 .552 .894 .998 .698 .467 .385 .264 .217 .351 .531 .882 1.000 .697 .492 .418 .293 .208 .320 .497 .848 .976 .664 .489 .440 .315 .186 .281 .464 .806 .934 .615 .464 .446 .322 .158 .248 .443 .767 .885 .563 .426 .434 .310 .135 .221 .429 .740 .832 .516 .387 .406 .281 r_peak,r_snr = .4032462 4.46877 Correlation Surface of oversamples image at 1346 5846 .600 .660 .757 .881 .966 .955 .849 .696 .553 .588 .647 .751 .888 .980 .967 .857 .704 .563 .569 .628 .739 .889 .992 .977 .862 .707 .567 .545 .604 .723 .885 .999 .984 .863 .704 .563 .515 .575 .700 .875 1.000 .987 .859 .694 .551 .481 .544 .675 .859 .994 .984 .850 .678 .533 .447 .515 .653 .844 .987 .979 .840 .661 .512 .413 .488 .633 .830 .977 .970 .827 .640 .489 .379 .461 .612 .812 .958 .952 .806 .614 .460 1346 .719 5846 -6.563 4.46877 .008463 1.566495 -.008084 Correlation Surface at 1446 5846 .536 .682 .876 .826 .778 .695 .673 .668 .728 .561 .684 .888 .888 .853 .766 .720 .686 .716 .578 .677 .890 .945 .930 .839 .777 .705 .678 .585 .656 .875 .979 .985 .897 .837 .727 .633 .584 .625 .843 .980 1.000 .924 .883 .744 .596 .578 .588 .795 .948 .973 .916 .904 .746 .565 .570 .554 .741 .892 .918 .884 .897 .729 .538 .560 .526 .688 .824 .848 .839 .867 .696 .509 .549 .510 .641 .754 .774 .791 .827 .657 .477 r_peak,r_snr = .4204663 2.06186 Correlation Surface of oversamples image at 1446 5846 .683 .802 .926 .988 .935 .816 .737 .713 .689 .671 .787 .916 .995 .964 .857 .780 .753 .726 .656 .769 .902 .997 .988 .895 .821 .792 .763 .636 .743 .879 .987 1.000 .923 .855 .825 .795 .615 .715 .849 .968 1.000 .940 .880 .851 .822 .596 .686 .816 .943 .991 .948 .897 .871 .843 .575 .655 .780 .911 .973 .944 .904 .882 .857 .552 .621 .739 .871 .942 .927 .896 .881 .860 .530 .588 .696 .826 .903 .899 .877 .868 .852 1446 -.750 5846 -9.531 2.06186 .132394 .617603 -.115142 Correlation Surface at 1546 5846 .195 .319 .362 .486 .612 .590 .389 .276 .163 .170 .281 .359 .585 .746 .647 .394 .276 .170 .153 .253 .359 .687 .884 .662 .365 .270 .182 .146 .240 .353 .752 .981 .636 .316 .266 .200 .147 .242 .336 .748 1.000 .576 .266 .271 .224 .156 .263 .311 .674 .926 .501 .229 .281 .250 .176 .305 .290 .563 .791 .433 .214 .294 .271 .202 .370 .284 .454 .651 .385 .223 .310 .280 .226 .448 .302 .376 .542 .356 .246 .319 .277 r_peak,r_snr = .2544994 4.75312 Correlation Surface of oversamples image at 1546 5846 .300 .368 .521 .727 .885 .899 .760 .552 .382 .301 .378 .541 .763 .936 .946 .779 .538 .352 .303 .386 .555 .789 .975 .979 .784 .513 .317 .308 .393 .563 .803 .997 .995 .775 .481 .279 .316 .399 .564 .804 1.000 .992 .754 .446 .243 .325 .401 .556 .789 .981 .969 .722 .410 .211 .335 .398 .536 .754 .938 .925 .680 .374 .185 .349 .395 .511 .709 .881 .872 .638 .347 .168 .369 .393 .483 .655 .813 .810 .597 .327 .161 1546 -.250 5846 -.188 4.75312 .011717 .509830 .016231 Correlation Surface at 1646 5846 .100 .179 .251 .512 .881 .834 .374 .105 .026 .117 .193 .273 .571 .916 .836 .384 .106 .029 .129 .196 .292 .640 .958 .828 .409 .118 .039 .129 .183 .302 .708 .991 .807 .447 .149 .064 .118 .161 .304 .764 1.000 .765 .488 .202 .108 .104 .141 .299 .794 .979 .705 .517 .272 .171 .095 .133 .293 .793 .931 .637 .523 .342 .238 .095 .143 .293 .761 .862 .568 .495 .392 .293 .105 .168 .297 .706 .778 .501 .440 .400 .318 r_peak,r_snr = .354864 5.68772 Correlation Surface of oversamples image at 1646 5846 .265 .371 .559 .791 .949 .958 .863 .744 .614 .269 .383 .578 .816 .972 .966 .852 .729 .613 .273 .393 .595 .835 .988 .965 .835 .709 .607 .279 .404 .609 .850 .996 .958 .813 .687 .600 .288 .416 .622 .862 1.000 .948 .790 .665 .592 .300 .427 .631 .868 .997 .932 .766 .642 .581 .311 .434 .632 .861 .981 .905 .735 .614 .564 .323 .439 .626 .843 .950 .867 .697 .582 .540 .340 .448 .623 .827 .922 .834 .667 .558 .523 1646 -.406 5846 -4.250 5.68772 .046013 2.840067 .320491 Correlation Surface at 1846 5846 .335 .379 .656 .561 .379 .199 .061 .015 .021 .347 .330 .626 .689 .539 .232 .049 .016 .029 .356 .301 .605 .829 .734 .283 .058 .027 .039 .359 .286 .593 .942 .908 .342 .089 .058 .051 .350 .275 .581 .972 1.000 .398 .144 .113 .061 .338 .268 .567 .906 .979 .439 .222 .190 .070 .330 .263 .553 .779 .862 .461 .319 .275 .076 .329 .261 .544 .650 .700 .463 .418 .349 .076 .335 .264 .558 .566 .560 .453 .504 .395 .073 r_peak,r_snr = .2339443 3.93131 Correlation Surface of oversamples image at 1846 5846 .405 .497 .620 .750 .756 .559 .300 .129 .057 .421 .527 .677 .836 .847 .623 .335 .150 .076 .450 .563 .729 .909 .925 .683 .375 .179 .104 .485 .598 .770 .960 .979 .731 .414 .214 .139 .517 .624 .789 .978 1.000 .759 .446 .249 .178 .546 .643 .790 .967 .992 .768 .473 .287 .223 .580 .661 .782 .941 .969 .771 .504 .334 .278 .611 .674 .763 .896 .926 .760 .530 .384 .339 .627 .671 .724 .827 .856 .725 .540 .426 .395 1846 1.813 5846 -6.406 3.93131 .015312 .443726 -.031771 Correlation Surface at 1946 5846 .112 .162 .292 .554 .692 .314 .005 .001 .011 .128 .208 .339 .624 .796 .365 .007 .001 .017 .144 .255 .368 .672 .900 .404 .013 .000 .033 .155 .289 .369 .676 .975 .420 .024 .001 .061 .156 .294 .341 .639 1.000 .408 .035 .006 .091 .150 .266 .288 .580 .976 .370 .043 .012 .102 .134 .212 .226 .517 .919 .319 .046 .013 .086 .111 .147 .166 .454 .846 .270 .043 .009 .057 .083 .086 .116 .399 .780 .237 .039 .005 .029 r_peak,r_snr = .2449602 8.30081 Correlation Surface of oversamples image at 1946 5846 .073 .181 .405 .706 .854 .671 .322 .073 .000 .086 .201 .441 .770 .929 .720 .339 .077 .000 .091 .206 .456 .808 .975 .743 .340 .077 .001 .086 .195 .451 .821 .995 .743 .328 .073 .001 .074 .173 .430 .818 1.000 .733 .312 .068 .002 .056 .144 .398 .798 .985 .708 .289 .061 .002 .036 .110 .358 .761 .943 .661 .255 .050 .002 .018 .078 .314 .715 .888 .603 .217 .038 .002 .007 .054 .280 .676 .839 .553 .185 .029 .002 1946 -.031 5846 -10.781 8.30081 .006515 1.907668 -.018088 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .2760708 3.98876 146 .156 3046 .844 3.98876 .008148 .652665 -.016348 r_peak,r_snr = .3582948 6.12326 246 .094 3046 1.656 6.12326 .002787 .433254 .001235 r_peak,r_snr = .3483279 7.59201 346 .031 3046 1.688 7.59201 .004005 .978465 -.017938 r_peak,r_snr = .5896463 4.70231 446 .031 3046 -.281 4.70231 .000938 .079705 -.000325 r_peak,r_snr = .3063593 9.67692 546 -.063 3046 .219 9.67692 .004557 .321561 .003924 r_peak,r_snr = .2353884 15.70738 646 -.063 3046 -.188 15.70738 .003435 .349221 .000157 r_peak,r_snr = .1255277 6.53049 746 -17.750 3046 -9.781 6.53049 .076418 1.857684 .342437 r_peak,r_snr = .3980902 8.13335 846 .156 3046 -.344 8.13335 .001850 .100621 -.000167 r_peak,r_snr = .2715406 15.21439 946 .188 3046 -.250 15.21440 .004307 .328988 -.005714 r_peak,r_snr = .1129229 4.53427 1046 -7.375 3046 -10.250 4.53427 .036823 1.766778 -.174313 r_peak,r_snr = .2262922 9.06902 1146 .844 3046 .063 9.06902 .008519 .287169 .008810 r_peak,r_snr = .5116192 7.53824 1346 .125 3046 -.063 7.53824 .001968 1.867190 -.035263 r_peak,r_snr = .3920147 3.64549 1546 .469 3046 9.813 3.64549 .012208 1.023483 -.064758 r_peak,r_snr = .3699452 3.12481 1646 -1.250 3046 12.219 3.12481 .185657 4.950046 -.907373 r_peak,r_snr = .2326335 2.43719 1746 6.406 3046 9.250 2.43719 .026148 .749692 .064296 r_peak,r_snr = .423629 3.88019 1946 -11.781 3046 -12.063 3.88019 .008133 .319887 .011621 At line = 3400 Reading in data.... r_peak,r_snr = .3887382 5.36107 146 .344 3446 -1.250 5.36107 .004066 .243253 -.010082 r_peak,r_snr = .4817399 5.1154 246 .375 3446 -.156 5.11540 .004024 .179967 -.005024 r_peak,r_snr = .2393804 12.90012 346 .063 3446 -4.781 12.90013 .003289 .663571 -.000042 r_peak,r_snr = .3375092 6.6215 446 .313 3446 1.438 6.62150 .003881 .783970 .020902 r_peak,r_snr = .3414272 11.69194 546 -.094 3446 -1.938 11.69195 .004841 .348810 -.016580 r_peak,r_snr = .2732256 7.58504 646 .000 3446 -.469 7.58504 .006537 1.871706 -.057830 r_peak,r_snr = .2195907 6.51793 746 .031 3446 3.813 6.51793 .006842 1.146544 .035867 r_peak,r_snr = .1735148 5.64979 846 -2.281 3446 -1.156 5.64979 .042731 1.009241 .055159 r_peak,r_snr = .316258 9.87329 946 -.094 3446 .219 9.87329 .005085 .435819 -.024297 r_peak,r_snr = 4.99989E-02 .8353111 1046 5.469 3446 -3.625 .83531 .017676 3.258417 .063773 r_peak,r_snr = .1953448 6.49542 1146 6.344 3446 -14.781 6.49542 .020297 1.242431 -.026748 r_peak,r_snr = .4820847 2.36978 1246 .094 3446 .219 2.36978 .006256 .276348 -.001656 r_peak,r_snr = .5766111 7.71183 1346 -.156 3446 .031 7.71183 .001461 .156692 -.006452 r_peak,r_snr = .1445887 6.28555 1446 -1.000 3446 -1.125 6.28555 .044786 .832215 -.077503 r_peak,r_snr = .1997754 3.82265 1546 .625 3446 -2.750 3.82265 .021822 1.708425 .096423 r_peak,r_snr = .1841442 3.05088 1646 1.531 3446 -16.781 3.05088 .037875 6.688588 -.417761 r_peak,r_snr = .2306883 9.61853 1746 .531 3446 -1.156 9.61853 .007369 .847231 .003211 r_peak,r_snr = .3408131 5.97292 1846 .094 3446 .406 5.97292 .011329 3.670133 .135859 r_peak,r_snr = .652517 3.10468 1946 -.938 3446 6.250 3.10468 .001652 .120308 .002201 r_peak,r_snr = 8.09439E-02 6.76244 2046 2.656 3446 -3.469 6.76244 .500669 .471829 .296467 At line = 3800 Reading in data.... r_peak,r_snr = .3579293 6.26252 146 -.063 3846 .250 6.26252 .007244 .289319 -.018510 r_peak,r_snr = .3151037 3.87134 246 .313 3846 -1.719 3.87134 .007248 2.726335 -.012567 r_peak,r_snr = .3213563 22.93579 346 -.031 3846 -.250 22.93580 .001732 .091640 -.001944 r_peak,r_snr = .4116859 3.80922 446 -.156 3846 .594 3.80922 .003286 .259963 .001982 r_peak,r_snr = .2507927 9.13732 546 .156 3846 .313 9.13732 .007552 2.351549 .087258 r_peak,r_snr = .1715396 6.57955 646 -3.344 3846 5.813 6.57955 .304379 .761535 .293294 r_peak,r_snr = .1609599 4.34797 746 17.844 3846 .250 4.34797 .067747 1.846037 .024762 r_peak,r_snr = .1199441 7.47283 846 .344 3846 1.250 7.47283 .010597 .405321 -.040239 r_peak,r_snr = .1153787 5.2339 946 .375 3846 -1.813 5.23390 .017204 .990550 -.025689 r_peak,r_snr = .1414774 5.61212 1046 4.594 3846 .250 5.61212 .021850 1.263537 -.005577 r_peak,r_snr = .1157267 9.4813 1146 -10.313 3846 -2.344 9.48130 .016836 .385980 -.005197 r_peak,r_snr = .5698476 1.83511 1246 .125 3846 -1.781 1.83511 .006788 .619764 .044072 r_peak,r_snr = .4070468 3.40959 1346 .063 3846 -1.250 3.40959 .004474 .349657 -.010159 r_peak,r_snr = .3833664 4.3867 1446 -.156 3846 -2.844 4.38670 .007846 1.089218 .016090 r_peak,r_snr = .2897801 8.8987 1546 .031 3846 -1.219 8.89870 .004028 .287436 .004318 r_peak,r_snr = .2158327 7.84123 1646 .094 3846 -.656 7.84123 .017870 5.047981 .123236 r_peak,r_snr = .1971821 6.89356 1746 .281 3846 4.781 6.89356 .015110 .799966 -.025599 r_peak,r_snr = .3438881 10.94316 1846 -.031 3846 -.063 10.94317 .004464 .241113 -.014594 r_peak,r_snr = .1642034 5.18402 1946 .719 3846 -.719 5.18402 .017349 6.200187 .074871 r_peak,r_snr = .6775035 2.96405 2046 .188 3846 7.250 2.96405 .001505 .290635 .000072 At line = 4200 Reading in data.... r_peak,r_snr = .4161444 7.30216 146 .344 4246 .781 7.30216 .003623 .534786 -.027941 r_peak,r_snr = .2081998 6.34478 246 -.031 4246 -13.719 6.34478 .027362 .646474 -.022762 r_peak,r_snr = .3427462 9.71116 346 .063 4246 -.219 9.71116 .002597 .337328 -.003743 r_peak,r_snr = .3074216 4.90646 446 .219 4246 -1.156 4.90646 .004894 .334444 .011028 r_peak,r_snr = .3050852 7.88836 546 -.094 4246 .250 7.88836 .004902 .254744 -.002062 r_peak,r_snr = .3632172 11.55429 646 .031 4246 .156 11.55430 .001684 .181616 .003274 r_peak,r_snr = .1176344 5.50686 746 -13.969 4246 12.250 5.50686 .022467 5.201896 -.139483 r_peak,r_snr = .1892893 7.53937 946 7.313 4246 -14.125 7.53937 .053328 .956248 -.014118 r_peak,r_snr = .2347971 4.19422 1046 .406 4246 -10.813 4.19422 .042154 2.482631 .259571 r_peak,r_snr = .2393163 4.12026 1146 -1.625 4246 -.781 4.12026 .026826 .752593 -.100443 r_peak,r_snr = .287797 4.8118 1246 .188 4246 -3.781 4.81180 .027618 4.084382 -.262536 r_peak,r_snr = .2869782 3.17076 1346 -4.531 4246 -5.156 3.17076 .083205 .655132 .028378 r_peak,r_snr = .393196 3.71661 1446 -.031 4246 -14.750 3.71661 .007651 1.981571 -.004187 r_peak,r_snr = .1855015 4.47294 1546 -.094 4246 -1.781 4.47294 .008233 1.012694 .026833 r_peak,r_snr = .2297516 9.73902 1746 -.063 4246 -.719 9.73902 .004930 2.383873 -.026419 r_peak,r_snr = .2551388 4.8137 1846 -.094 4246 -3.125 4.81370 .013334 22.417686 -.386800 r_peak,r_snr = .3476497 2.75296 1946 .031 4246 .906 2.75296 .005902 .960115 .036083 r_peak,r_snr = .2068219 8.40635 2046 .469 4246 6.188 8.40635 .015765 .779293 -.032543 At line = 4600 Reading in data.... r_peak,r_snr = .3427188 21.4377 146 .188 4646 .063 21.43770 .001922 .049017 -.001537 r_peak,r_snr = .2501204 14.02541 246 -.188 4646 3.813 14.02541 .003573 .281297 -.004474 r_peak,r_snr = .3753045 16.4668 346 .063 4646 .906 16.46680 .001527 .191948 -.000750 r_peak,r_snr = .44451 2.97719 446 .063 4646 1.125 2.97719 .002029 .194040 -.001924 r_peak,r_snr = .4386008 6.20931 546 .250 4646 1.813 6.20931 .004330 .560404 -.034197 r_peak,r_snr = .4753478 4.15459 646 -.063 4646 .188 4.15459 .003254 .207099 .005325 r_peak,r_snr = .2085216 10.4257 946 7.938 4646 5.250 10.42571 .004880 .425188 -.003339 r_peak,r_snr = .2062876 8.55432 1046 .344 4646 -8.219 8.55432 .009470 .500048 .007678 r_peak,r_snr = .2991946 8.05474 1146 .375 4646 1.906 8.05474 .015056 .443320 -.053806 r_peak,r_snr = .2571291 19.26753 1346 -.156 4646 .750 19.26754 .003207 .295723 -.012812 r_peak,r_snr = .1925034 6.66722 1446 -.281 4646 .125 6.66722 .010818 .747721 .013513 r_peak,r_snr = .2160913 6.62177 1546 -.281 4646 -7.188 6.62177 .021152 8.021123 -.335763 r_peak,r_snr = .2381742 3.0118 1646 -7.969 4646 9.375 3.01180 .020817 .678755 -.056297 r_peak,r_snr = .3242308 2.22895 1746 1.250 4646 -8.219 2.22895 .047321 .922776 .161525 r_peak,r_snr = .2409457 10.73754 1846 .000 4646 -1.063 10.73755 .003065 .352157 .007821 r_peak,r_snr = .26207 11.9628 1946 .031 4646 -1.031 11.96281 .004325 .395564 -.007990 r_peak,r_snr = .2392052 10.10305 2046 .031 4646 .031 10.10305 .004635 .352743 .011596 At line = 5000 Reading in data.... r_peak,r_snr = .2002627 22.70932 146 -.094 5046 .688 22.70933 .002448 .134939 .002133 r_peak,r_snr = .1520397 6.8272 246 -8.844 5046 1.813 6.82720 .025645 .673373 .078629 r_peak,r_snr = .2875052 16.32822 346 .000 5046 -.125 16.32822 .001900 .157001 .001624 r_peak,r_snr = .3467754 16.15026 446 -.125 5046 .031 16.15026 .001556 .151855 -.000455 r_peak,r_snr = .2688835 18.89814 546 .000 5046 -.563 18.89814 .002630 .317906 .001398 r_peak,r_snr = .1226157 6.91886 746 -5.813 5046 12.500 6.91886 .009309 .915308 -.010551 r_peak,r_snr = .314085 4.64977 846 -.031 5046 .438 4.64977 .002926 .077362 .001864 r_peak,r_snr = .2252971 6.01849 1246 .719 5046 11.813 6.01849 .012067 .474265 -.004824 r_peak,r_snr = .3870108 6.20922 1346 -.156 5046 11.219 6.20922 .011485 1.891383 -.111664 r_peak,r_snr = .4352321 2.06113 1446 .844 5046 -8.781 2.06113 .009740 4.458549 .046720 r_peak,r_snr = .3592735 9.16375 1546 .000 5046 -4.750 9.16375 .002595 .804444 .012941 r_peak,r_snr = .2523559 5.42798 1646 -.656 5046 14.813 5.42798 .013389 2.721447 -.147140 r_peak,r_snr = .2029588 10.9177 1746 -12.500 5046 13.875 10.91771 .007282 .861820 .052059 r_peak,r_snr = .1665031 6.18938 1846 .906 5046 -2.875 6.18938 .013831 1.012528 -.058627 r_peak,r_snr = .2555555 22.82163 1946 .156 5046 1.219 22.82164 .002785 .190252 -.004081 r_peak,r_snr = .1232236 9.08722 2046 -7.156 5046 -7.531 9.08722 .034541 1.300934 -.112532 At line = 5400 Reading in data.... r_peak,r_snr = .263989 14.09876 146 .125 5446 -.156 14.09876 .002972 .252244 -.005864 r_peak,r_snr = .2942083 12.44808 246 -.156 5446 1.531 12.44809 .003264 .274769 .003356 r_peak,r_snr = .2923885 14.44303 346 .063 5446 .219 14.44303 .002329 .145134 -.001888 r_peak,r_snr = .4306299 6.12511 446 .094 5446 .156 6.12511 .001980 .107096 -.001808 r_peak,r_snr = .1918527 10.86244 546 .188 5446 -1.438 10.86245 .019345 .505897 -.066735 r_peak,r_snr = .1403832 12.96884 646 -13.281 5446 -1.938 12.96884 .016451 1.122988 .041410 r_peak,r_snr = 9.77403E-02 8.81416 746 -6.563 5446 3.438 8.81416 .052171 .557596 -.124641 r_peak,r_snr = .1584259 6.17084 1046 13.500 5446 13.813 6.17084 .126255 4.923131 -.618701 r_peak,r_snr = .2396483 17.32886 1146 -.125 5446 -.781 17.32886 .002621 .186596 -.003482 r_peak,r_snr = .2885485 11.6619 1246 .031 5446 -.031 11.66191 .004132 .474394 .005016 r_peak,r_snr = .4230845 5.99345 1346 .031 5446 2.813 5.99345 .005867 .996156 .040472 r_peak,r_snr = .1800653 5.66366 1446 -14.375 5446 .906 5.66366 .031758 1.476712 .023144 r_peak,r_snr = .1347418 8.34041 1546 1.094 5446 -7.063 8.34041 .064385 1.009958 -.060984 r_peak,r_snr = .2042593 5.30181 1646 .344 5446 .844 5.30181 .006265 .770664 -.034175 r_peak,r_snr = .3247815 15.91253 1746 -.125 5446 -.781 15.91254 .002513 .218491 -.001675 r_peak,r_snr = .3968046 5.06615 1846 -.031 5446 -.750 5.06615 .016595 1.503525 -.139403 r_peak,r_snr = .1021154 4.48423 1946 -1.875 5446 -.813 4.48423 .025885 1.561775 .076331 r_peak,r_snr = .1565221 6.20287 2046 -1.156 5446 -14.031 6.20287 .018107 1.439994 -.076094 At line = 5800 Reading in data.... r_peak,r_snr = .3573766 6.51361 146 .031 5846 -.156 6.51361 .003882 .149144 .002567 r_peak,r_snr = .3614384 8.51134 246 .031 5846 -.250 8.51134 .003396 .229412 .008331 r_peak,r_snr = .4194742 18.78736 346 -.063 5846 .250 18.78736 .001221 .077808 -.000667 r_peak,r_snr = .2260405 8.57263 446 -.063 5846 -.094 8.57263 .004181 .605442 .009598 r_peak,r_snr = .2278505 7.52094 546 -.063 5846 -4.781 7.52094 .006053 .605370 -.010076 r_peak,r_snr = .1554775 8.25667 646 .219 5846 -.750 8.25667 .008386 1.324494 -.024590 r_peak,r_snr = .1989639 10.0592 846 .594 5846 -.250 10.05921 .010410 .934664 -.031674 r_peak,r_snr = .4146326 11.81463 946 -.125 5846 .250 11.81463 .002203 .079617 .000968 r_peak,r_snr = .1491562 2.93274 1046 -7.281 5846 .500 2.93274 .031825 .415927 .007245 r_peak,r_snr = .299868 10.16841 1146 .031 5846 -.156 10.16842 .003856 .365229 -.007628 r_peak,r_snr = .1789092 8.91741 1246 .406 5846 10.719 8.91741 .011347 .961136 -.034835 r_peak,r_snr = .3065993 6.92342 1346 .125 5846 -.219 6.92342 .005104 .202296 -.000157 r_peak,r_snr = .4155528 2.12909 1446 .188 5846 5.250 2.12909 .026248 .841700 .106983 r_peak,r_snr = .1864605 6.42926 1546 -4.563 5846 -1.406 6.42926 .033536 1.438250 .080124 r_peak,r_snr = .4434854 5.40539 1646 -.375 5846 -1.781 5.40539 .002266 2.705767 .000453 r_peak,r_snr = .1386665 6.29201 1746 -2.938 5846 3.813 6.29201 .007467 .987606 .015863 r_peak,r_snr = .2196579 4.46081 1846 .125 5846 1.219 4.46081 .008101 1.926652 -.064286 r_peak,r_snr = .3467494 11.05907 1946 .000 5846 -.875 11.05908 .001904 .198181 -.007369 r_peak,r_snr = .1091568 3.89301 2046 .250 5846 1.469 3.89301 .013255 1.042445 -.053927 ************************************************* ***** 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 94046 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 94046 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 94046 FOUND CALIB SET 94046 12.0 12.0 12.0 12.0 6.00 12.00 .79 .0 .79 .0 0.24 -1.44 132.945 132.7599 132.945 132.7599 125.236 1 84.352 87.9 90.3 87.8 90.4 82.70 95.30 139.46 -77.87 70.382 .0 .0 .0 .0 phasedat ahh ahv avh avv: 27.1 -232.055 -235.06 -231.955 -235.16 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: 27.10 deg Receiver phase difference is -5.00 deg Transmitter phase difference is 22.10 deg Cable phase difference is 139.46 deg Reading data to estimate cross-talk. 256 512 768 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 ********************************************* ***** ***** ***** 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 Wed Apr 29 04:06:22 PDT 1998