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 Fri May 1 12:40:37 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 @ 08:56:47 IDR=167950 FC=3,532,676 drft 4.8; LRef is 0.9min S, 1.0min W of GPS; almost full moon, no RFI, another great run, yawn...ncreased L-band RX gain by 2dB over previous runs here l Kobrick, 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: 94049 94049 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5278 prod ID1:*5278*5278* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94049 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171600584.9720 -171600536.2120 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49218 7954.97520 7959.24240 1.3637707 0 ralt 7717.75888 7708.39200 7724.54640 4.3116640 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88776 53.97752 .0257839 0 long -104.56234 -104.58829 -104.53590 .0150660 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8219.08984 8229.92969 2.8010286 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171600584.971222 -171600584.972 GPS trend coefficients = 5.07367558492683 -11.5826281971261 2.17374730057795 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 delx .25719 .25718 .25728 .0000099 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49266 7954.97520 7959.24240 1.3637964 0 ralt 7717.76460 7709.61120 7724.54640 4.3016570 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88959 53.97752 .0257790 0 long -104.56234 -104.58829 -104.53695 .0150632 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8223.33427 8225.89154 .6660214 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00013 -.10648 .12367 .0461546 0 ca -.00484 -.13356 .12283 .0373880 0 aa -.01379 -.07632 .03697 .0188172 0 Average Barometric Altitude = 7957.492657499952 Average Radar Altitude = 7717.764599999992 Average GPS Altitude = 8224.852246093767 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.756694074150800E-04 Standard deviation of difference = 2.890081939012123E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9115677 -104.5496826 8225.012 End position = 53.9555244 -104.5754013 8225.644 Loxodromic Heading (deg) = -19.0477980 Loxodromic Distance (km) = 5175.9532676 Geodesic Heading (deg) = -19.0374061 Geodesic Distance (km) = 5175.9532112 Peg latitude and longitude = 53.9335556 -104.5625076 Peg heading = -19.0927626 Rotation matrix First row = -.148026210 -.124526042 -.981112382 Second row = -.569809682 .821572766 -.018306197 Third row = .808334812 .556337537 -.192570447 Translation vector Vector = -1969.62524 -7581.84332 -23834.10822 Local Radius of Curvature = 6378826.447825055 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2535116399012322 Delta s on reference surface = .253511641946813 Making fits... Vertical fit coefficients = 8225.008976601637 -5.270652204114867E-02 -2.335247347025059E-03 Cross track fit coefficients = 13.41577944154065 -.734321729834544 3.676978506576236E-03 Along track fit coefficients = -5292.68024033466 214.889052831059 2.119148188246455E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3065.406173840099 Time orgin = -171600584.971222 Pulse spacing = .2571935106065052 First frame = 4234193 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/cm5278_c.par Enter the raw data file name. /data1/airops/c_hh Enter the motion compensation file name. /data3/airops/cm5278_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): (-230.355,.0) (-71.4895,.0) (71.48954,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 597059.8 Pulse#/64: 65 1073 541547.5 Pulse#/64: 129 1073 598836.2 Pulse#/64: 193 1073 695719.8 Pulse#/64: 257 1073 267853.7 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.43732Power RMS: 2.15772 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 764.9581Amp. RMS: 166.152 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -17.2786Phase RMS: 258.7859 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.49613 CalTone Power Coherently dB : 57.43732 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.49613 Incoherent PW - Coherent PW : 36.0588 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47185.13 CalTone Amplitude Coherently : 764.9581 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46420.17 ------------ *** ------------ running time (sec): 139.85 ********** 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/cm5278_c.par Enter the raw data file name. /data1/airops/c_hv Enter the motion compensation file name. /data3/airops/cm5278_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): (7.96214,.0) (-123.413,.0) (55.735,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 910069.3 Pulse#/64: 65 1073 688006.1 Pulse#/64: 129 1073 582410.8 Pulse#/64: 193 1073 781942.3 Pulse#/64: 257 1073 418999.2 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.04998Power RMS: 1.54126 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 812.4032Amp. RMS: 162.9775 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -92.9379Phase RMS: 257.4038 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.02223 CalTone Power Coherently dB : 58.04998 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.02223 Incoherent PW - Coherent PW : 35.97225 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 50291.5 CalTone Amplitude Coherently : 812.4032 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 49479.09 ------------ *** ------------ running time (sec): 124.38 ********** 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/cm5278_c.par Enter the raw data file name. /data1/airops/c_vh Enter the motion compensation file name. /data3/airops/cm5278_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): (-19.9054,.0) (-135.356,.0) (135.3564,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 658512.5 Pulse#/64: 65 1073 449592.4 Pulse#/64: 129 1073 413164.4 Pulse#/64: 193 1073 743616.3 Pulse#/64: 257 1073 536982.0 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 57.47246Power RMS: 1.52222 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 759.6894Amp. RMS: 149.1452 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -33.2298Phase RMS: 221.6957 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 93.47908 CalTone Power Coherently dB : 57.47246 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 93.47908 Incoherent PW - Coherent PW : 36.00662 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 47258.42 CalTone Amplitude Coherently : 759.6894 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 46498.73 ------------ *** ------------ running time (sec): 115.61 ********** 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/cm5278_c.par Enter the raw data file name. /data1/airops/c_vv Enter the motion compensation file name. /data3/airops/cm5278_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): (127.0925,.0) (-135.036,.0) (23.82984,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 1024478. Pulse#/64: 65 1073 585847.6 Pulse#/64: 129 1073 509613.2 Pulse#/64: 193 1073 726982.1 Pulse#/64: 257 1073 529577.3 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 58.08269Power RMS: 1.92917 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 820.2462Amp. RMS: 168.2362 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -87.4629Phase RMS: 259.1799 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 94.2446 CalTone Power Coherently dB : 58.08269 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 94.2446 Incoherent PW - Coherent PW : 36.16191 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 51566.73 CalTone Amplitude Coherently : 820.2462 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 50746.48 ------------ *** ------------ running time (sec): 97.27 ********** 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: 8.5638 -3.04859E-04 z fit: constant and linear terms: -.156508 -1.86055E-08 y and z standard deviations (meters) 2.0051 .6939479 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 = .1616018 .1644977 .1622413 .1531354 Differences = 1.23273E-03 4.12863E-03 1.87224E-03 -7.23371E-03 PATCH NUMER 2 First line = 1889 Averages = .1631602 .1548324 .1479072 .1464091 Differences = 1.00829E-02 1.75510E-03 -5.17002E-03 -6.66817E-03 PATCH NUMER 3 First line = 3777 Averages = .1482144 .1471945 .1457516 .1470517 Differences = 1.16134E-03 1.41412E-04 -1.30145E-03 -1.32620E-06 PATCH NUMER 4 First line = 5665 Averages = .145872 .1466726 .151379 .1552014 Differences = -3.90919E-03 -3.10859E-03 1.59778E-03 5.42019E-03 PATCH NUMER 5 First line = 7553 Averages = .1505749 .1546438 .1574445 .1593028 Differences = -4.91655E-03 -8.47697E-04 1.95305E-03 3.81126E-03 PATCH NUMER 6 First line = 9441 Averages = .1573984 .1586982 .1616204 .1647203 Differences = -3.21095E-03 -1.91107E-03 1.01107E-03 4.11101E-03 PATCH NUMER 7 First line = 11329 Averages = .1610914 .1647367 .1666332 .1713592 Differences = -4.86374E-03 -1.21835E-03 6.78107E-04 5.40410E-03 PATCH NUMER 8 First line = 13217 Averages = .1658576 .1711152 .1704801 .1634537 Differences = -1.86901E-03 3.38855E-03 2.75350E-03 -4.27295E-03 PATCH NUMER 9 First line = 15105 Averages = .1713122 .1638618 .1591504 .147301 Differences = 1.09059E-02 3.45543E-03 -1.25596E-03 -1.31054E-02 PATCH NUMER 10 First line = 16993 Averages = .1604957 .1488505 .1405772 .1393914 Differences = 1.31669E-02 1.52174E-03 -6.75152E-03 -7.93737E-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/cm5278_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) = 507.2 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/cm5278_c.mocomph Output file name? /data3/airops/cm5278_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 = 2.922 Processing 10 blocks Processing block number 1 reference line: 2048 2.922 seconds. Range compression done, time = 77.740 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 77.783 Motion comp. added to patch, time = 124.102 Doppler estimation done, time = 124.102 Azimuth compression starting, time : 124.193 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 296.826 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 306.047 seconds. Range compression done, time = 359.521 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 359.541 Motion comp. added to patch, time = 397.645 Doppler estimation done, time = 397.646 Azimuth compression starting, time : 397.719 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 576.778 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 586.576 seconds. Range compression done, time = 639.629 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 639.650 Motion comp. added to patch, time = 678.085 Doppler estimation done, time = 678.085 Azimuth compression starting, time : 678.158 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 863.781 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 871.790 seconds. Range compression done, time = 925.503 shift in azimuth (fractional pixel)= -.499992 Motion comp. coeff. calculated, time = 925.524 Motion comp. added to patch, time = 963.534 Doppler estimation done, time = 963.535 Azimuth compression starting, time : 963.610 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1156.163 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1166.857 seconds. Range compression done, time = 1220.701 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 1220.721 Motion comp. added to patch, time = 1258.640 Doppler estimation done, time = 1258.640 Azimuth compression starting, time : 1258.715 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1458.213 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1466.868 seconds. Range compression done, time = 1520.726 shift in azimuth (fractional pixel)= -.499987 Motion comp. coeff. calculated, time = 1520.747 Motion comp. added to patch, time = 1558.717 Doppler estimation done, time = 1558.717 Azimuth compression starting, time : 1558.791 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1764.869 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1775.846 seconds. Range compression done, time = 1829.458 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 1829.479 Motion comp. added to patch, time = 1867.356 Doppler estimation done, time = 1867.357 Azimuth compression starting, time : 1867.430 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2076.031 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2084.333 seconds. Range compression done, time = 2138.034 shift in azimuth (fractional pixel)= -.499989 Motion comp. coeff. calculated, time = 2138.197 Motion comp. added to patch, time = 2176.338 Doppler estimation done, time = 2176.338 Azimuth compression starting, time : 2176.412 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2386.197 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2394.862 seconds. Range compression done, time = 2449.131 shift in azimuth (fractional pixel)= -.499991 Motion comp. coeff. calculated, time = 2449.155 Motion comp. added to patch, time = 2487.425 Doppler estimation done, time = 2487.425 Azimuth compression starting, time : 2487.500 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2697.552 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2710.142 seconds. Range compression done, time = 2763.458 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 2763.478 Motion comp. added to patch, time = 2801.641 Doppler estimation done, time = 2801.641 Azimuth compression starting, time : 2801.775 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 3012.436 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_c.hh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 1884 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1883 1884 2988 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2987 Processing block number 3 2988 3767 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3766 3767 4871 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4870 Processing block number 4 4871 5661 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5660 5661 6765 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6764 Processing block number 5 6765 7558 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7557 7558 8662 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8661 Processing block number 6 8662 9451 5 784 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 11340 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11339 11340 12444 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12443 Processing block number 8 156 937 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13224 937 2041 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14328 Processing block number 9 2041 2816 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15103 2816 3920 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16207 Processing block number 10 3920 4082 -13 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16369 4082 5186 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17473 Writing the last 1460 lines Total # of output lines = 18933 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/cm5278_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) = 507.2 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/cm5278_c.mocomph Output file name? /data3/airops/cm5278_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 = 2.375 Processing 10 blocks Processing block number 1 reference line: 2048 2.375 seconds. Range compression done, time = 58.572 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 58.593 Motion comp. added to patch, time = 98.385 Doppler estimation done, time = 98.386 Azimuth compression starting, time : 98.469 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 270.587 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 274.293 seconds. Range compression done, time = 327.895 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 327.916 Motion comp. added to patch, time = 366.248 Doppler estimation done, time = 366.249 Azimuth compression starting, time : 366.322 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 544.227 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 550.093 seconds. Range compression done, time = 603.723 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 603.743 Motion comp. added to patch, time = 641.945 Doppler estimation done, time = 641.945 Azimuth compression starting, time : 642.018 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 824.552 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 828.142 seconds. Range compression done, time = 882.040 shift in azimuth (fractional pixel)= -.499992 Motion comp. coeff. calculated, time = 882.060 Motion comp. added to patch, time = 920.275 Doppler estimation done, time = 920.275 Azimuth compression starting, time : 920.349 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1111.088 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1121.071 seconds. Range compression done, time = 1175.993 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 1176.013 Motion comp. added to patch, time = 1214.688 Doppler estimation done, time = 1214.688 Azimuth compression starting, time : 1214.762 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1408.556 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1412.073 seconds. Range compression done, time = 1467.244 shift in azimuth (fractional pixel)= -.499987 Motion comp. coeff. calculated, time = 1467.265 Motion comp. added to patch, time = 1505.752 Doppler estimation done, time = 1505.752 Azimuth compression starting, time : 1505.825 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1704.753 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1714.275 seconds. Range compression done, time = 1768.773 shift in azimuth (fractional pixel)= -.49999 Motion comp. coeff. calculated, time = 1768.793 Motion comp. added to patch, time = 1806.985 Doppler estimation done, time = 1806.985 Azimuth compression starting, time : 1807.059 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2005.406 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2008.723 seconds. Range compression done, time = 2107.263 shift in azimuth (fractional pixel)= -.499989 Motion comp. coeff. calculated, time = 2107.284 Motion comp. added to patch, time = 2146.024 Doppler estimation done, time = 2146.025 Azimuth compression starting, time : 2146.098 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2351.859 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2360.335 seconds. Range compression done, time = 2413.952 shift in azimuth (fractional pixel)= -.499991 Motion comp. coeff. calculated, time = 2413.972 Motion comp. added to patch, time = 2452.328 Doppler estimation done, time = 2452.329 Azimuth compression starting, time : 2452.404 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2651.999 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2665.277 seconds. Range compression done, time = 2718.504 shift in azimuth (fractional pixel)= -.499993 Motion comp. coeff. calculated, time = 2718.525 Motion comp. added to patch, time = 2756.609 Doppler estimation done, time = 2756.609 Azimuth compression starting, time : 2756.718 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2957.972 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_c.hv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 1884 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1883 1884 2988 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2987 Processing block number 3 2988 3767 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3766 3767 4871 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4870 Processing block number 4 4871 5661 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5660 5661 6765 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6764 Processing block number 5 6765 7558 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7557 7558 8662 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8661 Processing block number 6 8662 9451 5 784 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 11340 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11339 11340 12444 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12443 Processing block number 8 156 937 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13224 937 2041 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14328 Processing block number 9 2041 2816 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15103 2816 3920 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16207 Processing block number 10 3920 4082 -13 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16369 4082 5186 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17473 Writing the last 1460 lines Total # of output lines = 18933 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/cm5278_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) = 507.2 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/cm5278_c.mocompv Output file name? /data3/airops/cm5278_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 = 2.424 Processing 10 blocks Processing block number 1 reference line: 2048 2.424 seconds. Range compression done, time = 58.524 Motion comp. coeff. calculated, time = 58.545 Motion comp. added to patch, time = 126.054 Doppler estimation done, time = 126.054 Azimuth compression starting, time : 126.127 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 358.943 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 362.668 seconds. Range compression done, time = 417.453 Motion comp. coeff. calculated, time = 417.473 Motion comp. added to patch, time = 455.755 Doppler estimation done, time = 455.755 Azimuth compression starting, time : 455.828 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 628.646 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 634.708 seconds. Range compression done, time = 689.400 Motion comp. coeff. calculated, time = 689.442 Motion comp. added to patch, time = 727.739 Doppler estimation done, time = 727.739 Azimuth compression starting, time : 727.813 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 901.587 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 905.357 seconds. Range compression done, time = 959.797 Motion comp. coeff. calculated, time = 959.817 Motion comp. added to patch, time = 997.931 Doppler estimation done, time = 997.931 Azimuth compression starting, time : 998.005 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1170.408 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1178.587 seconds. Range compression done, time = 1232.738 Motion comp. coeff. calculated, time = 1232.758 Motion comp. added to patch, time = 1270.693 Doppler estimation done, time = 1270.693 Azimuth compression starting, time : 1270.766 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1443.206 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1446.828 seconds. Range compression done, time = 1501.391 Motion comp. coeff. calculated, time = 1501.413 Motion comp. added to patch, time = 1539.446 Doppler estimation done, time = 1539.446 Azimuth compression starting, time : 1539.520 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1711.734 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1723.366 seconds. Range compression done, time = 1777.854 Motion comp. coeff. calculated, time = 1777.875 Motion comp. added to patch, time = 1815.875 Doppler estimation done, time = 1815.875 Azimuth compression starting, time : 1815.949 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1988.124 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 1996.492 seconds. Range compression done, time = 2050.846 Motion comp. coeff. calculated, time = 2050.866 Motion comp. added to patch, time = 2088.994 Doppler estimation done, time = 2088.994 Azimuth compression starting, time : 2089.067 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2261.565 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2270.365 seconds. Range compression done, time = 2324.724 Motion comp. coeff. calculated, time = 2324.744 Motion comp. added to patch, time = 2363.070 Doppler estimation done, time = 2363.070 Azimuth compression starting, time : 2363.145 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2535.808 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2549.061 seconds. Range compression done, time = 2602.542 Motion comp. coeff. calculated, time = 2602.626 Motion comp. added to patch, time = 2640.708 Doppler estimation done, time = 2640.708 Azimuth compression starting, time : 2640.816 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2813.775 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_c.vh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 1884 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1883 1884 2988 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2987 Processing block number 3 2988 3767 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3766 3767 4871 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4870 Processing block number 4 4871 5661 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5660 5661 6765 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6764 Processing block number 5 6765 7558 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7557 7558 8662 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8661 Processing block number 6 8662 9451 5 784 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 11340 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11339 11340 12444 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12443 Processing block number 8 156 937 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13224 937 2041 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14328 Processing block number 9 2041 2816 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15103 2816 3920 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16207 Processing block number 10 3920 4082 -13 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16369 4082 5186 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17473 Writing the last 1460 lines Total # of output lines = 18933 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/cm5278_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) = 507.2 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/cm5278_c.mocompv Output file name? /data3/airops/cm5278_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 = 2.339 Processing 10 blocks Processing block number 1 reference line: 2048 2.339 seconds. Range compression done, time = 58.882 Motion comp. coeff. calculated, time = 58.902 Motion comp. added to patch, time = 101.139 Doppler estimation done, time = 101.139 Azimuth compression starting, time : 101.214 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 273.639 Writing 2208 lines of data to file Processing block number 2 reference line: 3936 277.311 seconds. Range compression done, time = 331.166 Motion comp. coeff. calculated, time = 331.186 Motion comp. added to patch, time = 369.314 Doppler estimation done, time = 369.314 Azimuth compression starting, time : 369.388 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 548.118 Writing 2208 lines of data to file Processing block number 3 reference line: 5824 553.966 seconds. Range compression done, time = 607.706 Motion comp. coeff. calculated, time = 607.726 Motion comp. added to patch, time = 645.830 Doppler estimation done, time = 645.830 Azimuth compression starting, time : 645.903 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 831.311 Writing 2208 lines of data to file Processing block number 4 reference line: 7712 834.882 seconds. Range compression done, time = 888.923 Motion comp. coeff. calculated, time = 888.944 Motion comp. added to patch, time = 926.957 Doppler estimation done, time = 926.958 Azimuth compression starting, time : 927.031 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1119.055 Writing 2208 lines of data to file Processing block number 5 reference line: 9600 1127.248 seconds. Range compression done, time = 1181.237 Motion comp. coeff. calculated, time = 1181.272 Motion comp. added to patch, time = 1219.280 Doppler estimation done, time = 1219.280 Azimuth compression starting, time : 1219.354 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1418.558 Writing 2208 lines of data to file Processing block number 6 reference line: 11488 1422.065 seconds. Range compression done, time = 1476.438 Motion comp. coeff. calculated, time = 1476.458 Motion comp. added to patch, time = 1514.421 Doppler estimation done, time = 1514.421 Azimuth compression starting, time : 1514.495 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 1720.480 Writing 2208 lines of data to file Processing block number 7 reference line: 13376 1729.940 seconds. Range compression done, time = 1783.831 Motion comp. coeff. calculated, time = 1783.851 Motion comp. added to patch, time = 1821.810 Doppler estimation done, time = 1821.810 Azimuth compression starting, time : 1821.883 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2027.661 Writing 2208 lines of data to file Processing block number 8 reference line: 15264 2030.815 seconds. Range compression done, time = 2085.210 Motion comp. coeff. calculated, time = 2085.230 Motion comp. added to patch, time = 2123.270 Doppler estimation done, time = 2123.271 Azimuth compression starting, time : 2123.344 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2329.248 Writing 2208 lines of data to file Processing block number 9 reference line: 17152 2332.808 seconds. Range compression done, time = 2387.216 Motion comp. coeff. calculated, time = 2387.236 Motion comp. added to patch, time = 2425.442 Doppler estimation done, time = 2425.442 Azimuth compression starting, time : 2425.517 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2633.906 Writing 2208 lines of data to file Processing block number 10 reference line: 18431 2647.391 seconds. Range compression done, time = 2700.831 Motion comp. coeff. calculated, time = 2700.852 Motion comp. added to patch, time = 2738.887 Doppler estimation done, time = 2738.887 Azimuth compression starting, time : 2738.991 range migration lines: 1 2586 range migration lines: 2587 4096 Azimuth compression. Back projection Azimuth compression done, time = 2949.850 Writing 2208 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_c.vv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 1884 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 1883 1884 2988 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 2987 Processing block number 3 2988 3767 -5 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3766 3767 4871 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 4870 Processing block number 4 4871 5661 6 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 5660 5661 6765 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 6764 Processing block number 5 6765 7558 9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 7557 7558 8662 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8661 Processing block number 6 8662 9451 5 784 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 11340 1 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11339 11340 12444 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 12443 Processing block number 8 156 937 -3 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13224 937 2041 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 14328 Processing block number 9 2041 2816 -9 784 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15103 2816 3920 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16207 Processing block number 10 3920 4082 -13 175 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 16369 4082 5186 0 1104 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 17473 Writing the last 1460 lines Total # of output lines = 18933 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: 1051 *************************************** ***** ***** ***** 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 94049 writing parheadC writing parhead 20.0 writing parhead 94.0 writing parhead 93.5 writing parhead 1.2 before readcalfact skipping readcalfact amplitude ratio and phase = .9515677 85.70144 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 .007 .034 .181 .401 .462 .195 .105 .108 .186 .032 .050 .129 .354 .562 .279 .169 .066 .058 .084 .120 .173 .410 .642 .336 .213 .104 .049 .061 .120 .222 .598 .859 .463 .253 .186 .154 .065 .086 .167 .627 1.000 .598 .297 .269 .332 .098 .076 .151 .502 .902 .589 .314 .351 .391 .176 .128 .187 .390 .601 .401 .311 .369 .360 .206 .187 .191 .371 .569 .359 .300 .273 .235 .091 .098 .146 .433 .793 .546 .343 .214 .125 r_peak,r_snr = .1868701 6.87086 Correlation Surface of oversamples image at 146 3046 .197 .315 .495 .679 .725 .572 .367 .261 .245 .213 .352 .550 .755 .807 .637 .407 .282 .261 .214 .377 .601 .832 .901 .731 .478 .325 .290 .208 .384 .631 .887 .983 .832 .567 .381 .323 .204 .376 .625 .885 1.000 .875 .615 .411 .334 .205 .358 .580 .812 .922 .817 .586 .395 .318 .212 .339 .516 .693 .769 .678 .496 .354 .300 .220 .323 .457 .578 .613 .527 .397 .318 .310 .221 .309 .419 .507 .514 .429 .335 .311 .356 146 -.031 3046 6.844 6.87086 .019157 .179719 -.019602 Correlation Surface at 246 3046 .184 .050 .013 .049 .140 .261 .058 .032 .046 .137 .080 .018 .027 .152 .439 .132 .033 .061 .026 .023 .010 .070 .331 .778 .184 .040 .038 .049 .032 .014 .188 .705 .897 .105 .056 .003 .093 .067 .031 .287 1.000 .882 .045 .085 .013 .023 .000 .008 .082 .649 .733 .093 .031 .035 .001 .064 .165 .003 .168 .421 .197 .003 .005 .004 .014 .031 .000 .034 .191 .193 .004 .002 .001 .022 .107 .146 .066 .093 .075 .002 .000 r_peak,r_snr = .1224291 14.83384 Correlation Surface of oversamples image at 246 3046 .061 .169 .319 .473 .655 .765 .627 .284 .042 .104 .270 .486 .643 .733 .713 .520 .220 .025 .165 .364 .637 .827 .845 .677 .399 .136 .007 .194 .384 .689 .948 .972 .708 .342 .085 .001 .138 .284 .575 .896 1.000 .745 .342 .074 .000 .042 .125 .341 .650 .842 .702 .356 .090 .003 .000 .019 .126 .348 .569 .572 .349 .117 .012 .015 .001 .019 .132 .324 .430 .337 .150 .028 .019 .013 .000 .034 .168 .319 .331 .188 .045 246 -.656 3046 2.281 14.83385 .029507 .059771 -.002490 Correlation Surface at 346 3046 .056 .037 .008 .088 .076 .001 .002 .040 .016 .073 .057 .002 .021 .099 .053 .001 .004 .030 .068 .082 .107 .003 .218 .347 .015 .033 .002 .138 .151 .293 .031 .609 .712 .026 .053 .054 .143 .478 .443 .004 1.000 .676 .001 .135 .164 .032 .432 .299 .010 .790 .294 .018 .217 .357 .005 .113 .098 .024 .661 .208 .053 .190 .473 .038 .138 .110 .000 .331 .412 .044 .011 .020 .002 .062 .091 .014 .078 .545 .709 .341 .341 r_peak,r_snr = 7.71518E-02 8.2229 Correlation Surface of oversamples image at 346 3046 1.202 1.213 .686 .124 .018 .226 .491 .680 .994 1.176 .945 .395 .030 .043 .208 .294 .526 .926 1.217 1.007 .436 .062 .002 .006 .284 .843 1.737 2.275 1.880 1.000 .446 .407 346 1.813 3046 3.906 8.22290 .020017 .198555 .028481 Correlation Surface at 446 3046 .000 .131 .047 .028 .336 .125 .020 .087 .000 .037 .175 .068 .031 .230 .054 .019 .058 .005 .038 .032 .006 .012 .263 .188 .008 .000 .001 .015 .011 .043 .078 .608 .362 .018 .001 .045 .140 .122 .078 .243 1.000 .344 .000 .002 .181 .105 .126 .053 .157 .514 .194 .000 .001 .167 .011 .062 .083 .014 .037 .005 .062 .106 .003 .027 .000 .136 .000 .009 .169 .300 .254 .065 .103 .122 .026 .002 .023 .090 .030 .001 .030 r_peak,r_snr = 8.17256E-02 12.89275 Correlation Surface of oversamples image at 446 3046 .022 .001 .002 .029 .159 .222 .153 .052 .003 .101 .010 .002 .069 .252 .301 .189 .068 .008 .198 .074 .063 .220 .473 .451 .232 .074 .010 .209 .139 .203 .490 .785 .642 .280 .073 .010 .126 .134 .310 .711 1.000 .769 .309 .065 .007 .048 .085 .308 .727 .970 .742 .295 .052 .003 .024 .053 .238 .577 .742 .560 .222 .034 .001 .041 .055 .170 .384 .478 .339 .117 .010 .001 .122 .097 .130 .222 .261 .158 .027 .002 .023 446 6.031 3046 5.188 12.89275 .024965 .073462 .008110 Correlation Surface at 546 3046 .181 .122 .149 .411 .767 .680 .430 .270 .191 .143 .129 .204 .475 .774 .619 .427 .302 .259 .175 .203 .280 .597 .858 .590 .386 .293 .245 .200 .225 .244 .618 .990 .644 .424 .347 .235 .161 .164 .142 .475 1.000 .756 .527 .468 .270 .137 .148 .123 .345 .796 .654 .435 .406 .275 .191 .204 .223 .387 .714 .472 .226 .240 .230 .251 .215 .311 .503 .799 .513 .167 .147 .173 .242 .149 .251 .516 .847 .644 .270 .159 .155 r_peak,r_snr = .2522255 3.35908 Correlation Surface of oversamples image at 546 3046 .341 .387 .471 .597 .720 .769 .714 .626 .546 .400 .448 .536 .665 .775 .790 .704 .597 .508 .440 .504 .619 .771 .867 .834 .704 .575 .480 .425 .514 .678 .869 .961 .884 .715 .575 .486 .360 .461 .664 .897 1.000 .906 .724 .592 .524 .291 .379 .579 .824 .945 .868 .708 .603 .562 .258 .315 .476 .693 .817 .773 .655 .578 .557 .268 .295 .412 .582 .690 .666 .573 .511 .499 .315 .326 .412 .548 .634 .600 .495 .421 .407 546 .000 3046 .406 3.35908 .010850 .108443 -.015172 Correlation Surface at 646 3046 .472 .516 .632 .741 .711 .541 .372 .362 .410 .437 .428 .540 .669 .782 .653 .386 .363 .435 .404 .442 .560 .692 .827 .700 .416 .345 .398 .381 .538 .687 .830 .979 .802 .459 .336 .374 .405 .519 .716 .893 1.000 .925 .602 .433 .437 .437 .437 .576 .736 .844 .880 .685 .525 .438 .459 .469 .488 .542 .657 .676 .578 .447 .355 .490 .481 .481 .424 .429 .453 .452 .387 .321 .488 .405 .448 .374 .338 .357 .405 .411 .300 r_peak,r_snr = .2520688 2.3196 Correlation Surface of oversamples image at 646 3046 .573 .601 .648 .717 .746 .692 .584 .478 .403 .626 .664 .726 .806 .834 .769 .646 .523 .434 .692 .741 .820 .904 .923 .853 .728 .601 .500 .750 .813 .900 .972 .981 .925 .823 .709 .599 .775 .855 .942 .995 1.000 .975 .914 .825 .710 .747 .842 .930 .977 .993 .998 .971 .904 .790 .676 .781 .881 .942 .974 .990 .970 .909 .805 .597 .701 .819 .901 .938 .940 .903 .835 .746 .530 .616 .740 .836 .864 .834 .776 .707 .638 646 .281 3046 .313 2.31960 .168532 .171526 -.078894 Correlation Surface at 746 3046 .002 .009 .086 .489 .962 .697 .242 .096 .044 .001 .014 .108 .498 .976 .705 .208 .071 .042 .001 .019 .135 .523 .944 .666 .193 .055 .029 .005 .025 .144 .580 .992 .645 .199 .069 .026 .009 .030 .140 .580 1.000 .656 .221 .079 .029 .008 .030 .136 .541 .904 .596 .225 .066 .021 .002 .018 .131 .477 .742 .467 .177 .061 .019 .000 .014 .122 .411 .604 .382 .152 .071 .030 .002 .028 .142 .415 .586 .368 .161 .080 .043 r_peak,r_snr = .3965883 8.94738 Correlation Surface of oversamples image at 746 3046 .058 .194 .460 .775 .976 .942 .713 .439 .241 .066 .200 .461 .782 1.000 .975 .733 .439 .229 .077 .206 .449 .755 .982 .974 .735 .434 .218 .090 .220 .447 .731 .948 .944 .714 .420 .209 .105 .240 .463 .730 .925 .906 .676 .398 .202 .118 .261 .492 .752 .921 .873 .636 .375 .198 746 .188 3046 -2.781 8.94738 .003274 .113737 .000370 Correlation Surface at 846 3046 .201 .021 .042 .166 .355 .136 .003 .001 .011 .241 .128 .000 .155 .676 .328 .009 .005 .020 .143 .104 .022 .071 .749 .250 .001 .000 .040 .020 .041 .038 .049 .837 .345 .004 .017 .061 .003 .003 .021 .072 1.000 .730 .002 .039 .013 .003 .005 .013 .038 .522 .553 .023 .022 .006 .000 .045 .017 .007 .029 .032 .027 .000 .011 .001 .025 .001 .024 .003 .032 .006 .009 .001 .000 .013 .116 .098 .006 .002 .004 .000 .000 r_peak,r_snr = .1089601 16.02502 Correlation Surface of oversamples image at 846 3046 .043 .007 .238 .547 .460 .160 .015 .000 .000 .054 .004 .240 .617 .558 .214 .031 .003 .005 .047 .008 .271 .706 .701 .319 .071 .014 .010 .033 .022 .331 .820 .880 .471 .132 .024 .008 .020 .038 .370 .872 1.000 .610 .193 .028 .003 .013 .041 .325 .745 .904 .616 .219 .030 .001 .011 .027 .210 .463 .576 .438 .179 .029 .001 .010 .014 .104 .189 .216 .186 .095 .024 .003 .006 .010 .047 .044 .028 .028 .024 .015 .007 846 9.344 3046 -11.000 16.02502 .015504 .074017 -.005178 Correlation Surface at 946 3046 .010 .028 .027 .083 .164 .021 .011 .011 .035 .010 .008 .029 .090 .291 .104 .036 .015 .003 .008 .010 .007 .160 .291 .056 .021 .017 .001 .006 .168 .059 .199 .449 .006 .001 .015 .002 .006 .056 .026 .320 1.000 .042 .044 .011 .002 .060 .000 .000 .293 .810 .062 .055 .035 .003 .018 .008 .008 .097 .201 .002 .035 .005 .020 .011 .009 .004 .013 .047 .003 .019 .007 .041 .028 .000 .024 .007 .008 .021 .007 .032 .009 r_peak,r_snr = .1248436 17.30566 Correlation Surface of oversamples image at 946 3046 .091 .006 .024 .092 .094 .029 .001 .002 .026 .142 .007 .064 .228 .226 .061 .000 .005 .003 .116 .000 .166 .520 .543 .180 .001 .025 .006 .050 .007 .285 .820 .911 .363 .011 .040 .038 .014 .021 .309 .856 1.000 .447 .023 .045 .073 .007 .016 .225 .631 .750 .348 .021 .035 .071 .014 .002 .115 .352 .400 .170 .007 .024 .041 .033 .002 .041 .158 .155 .046 .000 .017 .018 .043 .012 .012 .067 .050 .005 .003 .010 .007 946 -.156 3046 .344 17.30567 .006776 .040484 -.000813 Correlation Surface at 1046 3046 .005 .002 .003 .076 .853 .454 .012 .020 .003 .009 .000 .027 .001 .500 .307 .006 .002 .000 .001 .003 .138 .008 .609 .359 .003 .004 .026 .005 .029 .225 .002 .961 .658 .039 .000 .067 .028 .088 .226 .046 1.000 .607 .075 .002 .061 .062 .068 .094 .114 .728 .264 .045 .004 .040 .146 .074 .025 .134 .484 .098 .002 .003 .013 .156 .182 .049 .121 .456 .112 .015 .009 .001 .103 .195 .082 .102 .574 .170 .021 .073 .021 r_peak,r_snr = .1197409 11.90987 Correlation Surface of oversamples image at 1046 3046 .051 .006 .051 .270 .397 .298 .135 .043 .019 .061 .002 .093 .400 .539 .365 .150 .046 .020 .046 .001 .191 .625 .785 .517 .208 .063 .023 .025 .020 .319 .836 .991 .651 .262 .072 .018 .011 .053 .414 .906 1.000 .640 .251 .057 .005 .005 .081 .439 .817 .812 .481 .173 .028 .000 .000 .107 .428 .677 .586 .304 .096 .011 .003 .003 .139 .415 .562 .426 .193 .057 .009 .000 .014 .168 .395 .472 .329 .140 .044 .015 .004 1046 .344 3046 .281 11.90988 .019342 .344939 .056937 Correlation Surface at 1146 3046 .052 .125 .328 .376 .371 .150 .012 .017 .144 .013 .006 .260 .302 .266 .176 .001 .077 .021 .021 .004 .171 .576 .686 .673 .198 .002 .044 .000 .003 .046 .468 1.000 .772 .348 .135 .004 .034 .001 .000 .028 .326 .271 .123 .141 .005 .020 .014 .000 .011 .036 .090 .043 .136 .050 .003 .028 .034 .020 .085 .050 .012 .148 .228 .061 .022 .149 .236 .389 .082 .000 .059 .283 r_peak,r_snr = 9.00277E-02 8.42554 Correlation Surface of oversamples image at 1146 3046 .144 .113 .111 .121 .100 .047 .006 .001 .000 .211 .149 .121 .154 .194 .163 .068 .008 .000 .336 .278 .233 .301 .423 .427 .266 .093 .015 .487 .526 .517 .612 .766 .751 .518 .260 .103 .554 .762 .859 .949 1.000 .863 .567 .318 .184 .439 .720 .904 .980 .904 .652 .360 .191 .138 .203 .384 .534 .599 .521 .314 .130 .057 .055 .029 .070 .119 .155 .150 .082 .024 .010 .019 .001 .001 .000 .002 .009 .008 .002 .005 .022 1146 1.188 3046 -12.250 8.42554 .080538 .045439 -.015756 Correlation Surface at 1246 3046 .015 .025 .083 .073 .011 .002 .008 .078 .064 .009 .037 .004 .009 .000 .054 .021 .000 .009 .168 .358 .000 .006 .075 .338 1.000 .009 .043 .201 .157 .598 .026 .059 .268 .171 .200 .000 .038 .218 .330 .295 .008 .035 .100 .138 .183 r_peak,r_snr = 8.13538E-02 9.66418 Correlation Surface of oversamples image at 1246 3046 .146 .034 .020 .054 .419 .190 .201 .377 .714 .452 .584 1.128 .912 .826 1.204 2.278 .940 1.219 1.899 3.274 .844 1.418 2.198 3.323 1.035 1.711 2.286 2.859 1246 17.844 3046 8.688 9.66418 .028908 .055931 -.017254 Correlation Surface at 1346 3046 .002 .016 .072 .363 .519 .186 .023 .000 .016 .003 .005 .091 .429 .545 .206 .019 .000 .037 .019 .000 .162 .689 .688 .215 .028 .000 .030 .020 .000 .187 .890 .988 .288 .055 .004 .026 .000 .013 .132 .641 1.000 .349 .058 .002 .030 .006 .041 .098 .343 .658 .247 .010 .001 .011 .003 .048 .093 .246 .489 .180 .001 .006 .002 .000 .028 .058 .225 .539 .227 .018 .000 .010 .002 .014 .025 .171 .534 .283 .046 .002 .036 r_peak,r_snr = .2064597 14.4992 Correlation Surface of oversamples image at 1346 3046 .166 .307 .465 .577 .562 .430 .247 .098 .021 .197 .381 .576 .694 .646 .468 .268 .122 .042 .207 .431 .683 .843 .780 .548 .310 .156 .074 .191 .425 .727 .961 .929 .660 .374 .200 .111 .157 .359 .667 .964 1.000 .742 .431 .237 .137 .123 .268 .532 .841 .938 .734 .438 .239 .132 .102 .195 .390 .659 .786 .647 .395 .207 .100 .093 .152 .289 .497 .621 .533 .327 .157 .058 .090 .134 .238 .403 .507 .439 .260 .107 .027 1346 -.219 3046 -1.625 14.49920 .009599 .064173 -.010474 Correlation Surface at 1446 3046 .126 .420 .241 .031 .618 .413 .045 .007 .002 .087 .327 .253 .054 .911 .582 .058 .017 .047 .140 .298 .331 .027 .950 .648 .056 .053 .151 .169 .288 .404 .006 .986 .626 .050 .030 .091 .097 .260 .359 .002 1.000 .617 .029 .010 .008 .017 .154 .248 .003 .826 .541 .000 .069 .024 .010 .138 .136 .034 .789 .489 .010 .228 .187 .055 .212 .123 .059 .736 .448 .002 .213 .247 .109 .204 .110 .030 .523 .422 .005 .114 .109 r_peak,r_snr = .1440036 11.70744 Correlation Surface of oversamples image at 1446 3046 .047 .029 .334 .695 .727 .505 .264 .091 .008 .075 .025 .373 .808 .859 .594 .304 .104 .009 .124 .017 .395 .880 .937 .642 .328 .116 .010 .198 .006 .387 .918 .980 .661 .335 .126 .015 .288 .000 .343 .921 1.000 .654 .319 .128 .026 .367 .007 .276 .884 .991 .622 .278 .110 .036 .400 .022 .208 .799 .937 .561 .216 .072 .028 .352 .024 .165 .696 .854 .500 .158 .031 .007 .240 .009 .167 .638 .791 .463 .120 .006 .002 1446 .313 3046 -.781 11.70745 .005630 .475443 .003738 Correlation Surface at 1546 3046 .045 .234 .183 .054 .722 .580 .056 .008 .046 .225 .304 .263 .004 .536 .654 .075 .015 .020 .247 .299 .265 .003 .505 .484 .031 .018 .007 .089 .119 .122 .052 .761 .392 .016 .016 .009 .060 .061 .030 .106 1.000 .517 .059 .002 .011 .091 .168 .070 .037 .836 .567 .118 .023 .001 .115 .180 .116 .033 .700 .517 .129 .040 .003 .147 .102 .060 .136 .712 .422 .070 .000 .062 .204 .115 .043 .078 .451 .181 .021 .027 .094 r_peak,r_snr = .1305514 13.76097 Correlation Surface of oversamples image at 1546 3046 .368 .123 .002 .230 .675 .925 .767 .387 .089 .336 .109 .005 .268 .723 .902 .675 .304 .052 .266 .079 .016 .347 .817 .893 .569 .216 .027 .176 .045 .039 .448 .926 .894 .495 .167 .023 .104 .022 .062 .521 1.000 .901 .473 .167 .037 .073 .012 .068 .521 1.000 .904 .492 .203 .069 .081 .015 .051 .444 .922 .891 .531 .254 .111 .115 .026 .029 .350 .810 .861 .563 .295 .145 .132 .030 .024 .306 .741 .846 .593 .324 .167 1546 .156 3046 -1.219 13.76097 .009667 .136233 -.006934 Correlation Surface at 1646 3046 .007 .045 .007 .032 .479 .367 .271 .189 .062 .011 .011 .029 .002 .254 .152 .281 .439 .173 .031 .003 .018 .001 .289 .140 .216 .273 .084 .159 .018 .009 .148 .852 .411 .258 .102 .034 .109 .014 .003 .294 1.000 .418 .167 .087 .036 .010 .019 .009 .016 .145 .014 .003 .018 .012 .017 .103 .013 .007 .000 .090 .259 .011 .015 .074 .327 .213 .036 .017 .032 .201 .020 .018 .068 .365 .402 .301 .220 .024 .012 .000 .003 r_peak,r_snr = 9.81057E-02 9.0589 Correlation Surface of oversamples image at 1646 3046 .158 .234 .063 .022 .173 .232 .218 .273 .425 .174 .239 .058 .030 .200 .252 .238 .309 .445 .137 .148 .012 .100 .353 .405 .370 .446 .552 .090 .043 .014 .305 .680 .716 .597 .607 .651 .062 .001 .111 .569 1.000 .972 .711 .584 .547 .068 .000 .141 .549 .882 .794 .485 .294 .227 .092 .006 .044 .230 .381 .310 .129 .032 .009 .115 .061 .008 .006 .025 .011 .004 .057 .098 .107 .155 .139 .086 .056 .080 .193 .371 .457 1646 .188 3046 1.625 9.05890 .021679 .028231 .003831 Correlation Surface at 1746 3046 .001 .010 .051 .284 .553 .334 .044 .023 .039 .060 .049 .000 .123 .388 .218 .080 .077 .049 .042 .043 .031 .060 .427 .203 .097 .181 .141 .001 .003 .003 .213 .740 .260 .033 .096 .163 .039 .028 .026 .451 1.000 .258 .000 .002 .080 .075 .037 .032 .361 .670 .229 .010 .002 .043 .008 .001 .002 .152 .202 .095 .113 .099 .100 .020 .048 .002 .043 .031 .033 .238 .344 .314 .055 .085 .002 .051 .011 .054 .315 .401 .445 r_peak,r_snr = .142284 11.03543 Correlation Surface of oversamples image at 1746 3046 .349 .382 .165 .001 .088 .189 .141 .044 .005 .182 .181 .033 .047 .291 .400 .248 .063 .002 .055 .040 .005 .237 .625 .670 .358 .070 .001 .007 .001 .070 .464 .916 .859 .409 .063 .010 .000 .004 .126 .572 1.000 .870 .389 .057 .013 .000 .006 .133 .540 .893 .745 .327 .055 .004 .003 .001 .105 .432 .688 .544 .226 .045 .000 .026 .002 .054 .283 .443 .309 .104 .019 .002 .069 .017 .015 .144 .224 .120 .019 .001 .002 1746 -.344 3046 1.875 11.03544 .010407 .052948 .003632 Correlation Surface at 1846 3046 .161 .203 .377 .494 .533 .395 .253 .278 .352 .176 .236 .267 .300 .393 .287 .221 .349 .384 .149 .188 .198 .327 .428 .249 .203 .391 .488 .161 .111 .176 .536 .759 .358 .239 .384 .501 .200 .147 .188 .617 1.000 .447 .209 .318 .423 .206 .220 .233 .528 .988 .493 .170 .270 .361 .178 .203 .269 .392 .682 .454 .227 .350 .393 .191 .197 .323 .339 .377 .314 .316 .467 .413 .252 .244 .309 .318 .300 .323 .423 .522 .376 r_peak,r_snr = .2186395 4.89178 Correlation Surface of oversamples image at 1846 3046 .060 .128 .278 .443 .492 .399 .261 .176 .167 .061 .172 .403 .638 .668 .494 .308 .219 .215 .072 .219 .513 .805 .828 .580 .338 .233 .221 .096 .258 .579 .907 .945 .653 .349 .203 .167 .116 .261 .570 .918 1.000 .712 .355 .160 .097 .109 .216 .476 .819 .963 .730 .359 .131 .054 .085 .159 .353 .646 .820 .671 .345 .118 .041 .066 .119 .251 .462 .606 .522 .290 .110 .045 .059 .101 .185 .309 .387 .334 .202 .095 .055 1846 -.156 3046 -.531 4.89178 .008774 .100957 -.006100 Correlation Surface at 1946 3046 .039 .054 .005 .043 .230 .130 .076 .020 .016 .061 .093 .006 .110 .400 .135 .024 .029 .036 .008 .003 .000 .191 .452 .090 .008 .002 .004 .001 .000 .013 .344 .632 .206 .000 .012 .003 .011 .000 .069 .640 1.000 .226 .002 .000 .002 .062 .002 .035 .542 .957 .147 .013 .005 .001 .114 .038 .036 .267 .573 .231 .000 .034 .000 .070 .070 .111 .204 .269 .175 .005 .088 .011 .008 .004 .085 .180 .148 .046 .017 .174 .066 r_peak,r_snr = .1146879 16.12005 Correlation Surface of oversamples image at 1946 3046 .002 .093 .297 .457 .439 .291 .120 .013 .009 .009 .132 .377 .598 .632 .474 .242 .060 .000 .021 .164 .457 .763 .842 .629 .310 .080 .003 .034 .179 .509 .887 .987 .698 .300 .055 .000 .049 .172 .495 .895 1.000 .686 .266 .030 .007 .068 .156 .414 .760 .875 .627 .252 .028 .012 .089 .145 .309 .537 .651 .519 .245 .042 .006 .097 .134 .216 .326 .408 .362 .200 .050 .002 .077 .116 .157 .193 .225 .202 .111 .025 .006 1946 -.125 3046 -.188 16.12005 .020505 .165200 .015932 Correlation Surface at 2046 3046 .022 .023 .036 .024 .345 .431 .280 .072 .003 .023 .036 .083 .052 .584 .702 .518 .177 .005 .092 .026 .030 .128 .668 .664 .504 .251 .026 .010 .026 .001 .258 .831 .450 .063 .045 .012 .236 .235 .026 .313 1.000 .430 .001 .014 .001 .028 .067 .042 .351 .865 .376 .003 .096 .036 .052 .006 .025 .237 .570 .363 .009 .209 .236 .088 .043 .012 .151 .356 .227 .006 .138 .299 .040 .064 .001 .198 .302 .068 .000 .035 .147 r_peak,r_snr = .1096903 13.10277 Correlation Surface of oversamples image at 2046 3046 .013 .045 .228 .544 .671 .517 .237 .039 .003 .033 .098 .358 .719 .760 .486 .188 .023 .011 .039 .132 .443 .847 .884 .570 .245 .053 .002 .033 .131 .425 .844 .988 .769 .432 .153 .005 .028 .117 .349 .733 1.000 .949 .658 .286 .028 .027 .115 .296 .593 .861 .901 .688 .319 .040 .026 .135 .296 .494 .638 .633 .475 .220 .026 .027 .173 .359 .492 .499 .407 .276 .124 .016 2046 .125 3046 2.875 13.10278 .019116 .352650 .018928 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .023 .022 .016 .196 .759 .589 .150 .042 .013 .005 .006 .016 .202 .695 .551 .167 .049 .012 .008 .003 .014 .281 .761 .579 .164 .037 .007 .028 .015 .012 .340 .895 .666 .174 .036 .010 .012 .006 .010 .330 1.000 .741 .190 .049 .017 .001 .001 .027 .305 .880 .582 .124 .049 .029 .000 .005 .073 .326 .669 .442 .110 .058 .036 .000 .007 .090 .320 .551 .411 .131 .050 .033 .000 .013 .078 .271 .485 .371 .126 .025 .008 r_peak,r_snr = .245398 9.00325 Correlation Surface of oversamples image at 146 3446 .047 .139 .305 .519 .664 .633 .461 .265 .126 .040 .149 .353 .599 .747 .694 .490 .264 .112 .032 .149 .388 .678 .846 .783 .551 .291 .118 .025 .139 .403 .742 .944 .881 .626 .336 .139 .025 .128 .394 .765 1.000 .936 .665 .360 .152 .034 .125 .369 .732 .970 .904 .628 .332 .140 .050 .133 .343 .652 .854 .788 .532 .270 .114 .069 .150 .327 .564 .709 .642 .429 .217 .096 .081 .164 .315 .495 .588 .524 .356 .192 .095 146 .125 3446 1.094 9.00325 .006294 .099139 .001131 Correlation Surface at 246 3446 .001 .012 .036 .070 .034 .036 .209 .221 .072 .000 .019 .096 .232 .083 .026 .164 .191 .129 .000 .001 .103 .485 .354 .068 .106 .134 .138 .000 .002 .076 .727 .744 .137 .031 .029 .040 .034 .018 .133 .889 1.000 .248 .016 .001 .000 .096 .062 .127 .642 .748 .296 .059 .010 .001 .024 .004 .009 .226 .286 .135 .057 .032 .008 .001 .012 .004 .068 .140 .090 .041 .021 .000 .003 .015 .010 .030 .155 .169 .059 .002 .008 r_peak,r_snr = .1585117 20.15935 Correlation Surface of oversamples image at 246 3446 .004 .047 .173 .298 .291 .185 .086 .038 .030 .001 .046 .216 .419 .452 .320 .164 .064 .028 .001 .052 .266 .559 .648 .488 .264 .098 .027 .008 .073 .326 .699 .855 .686 .398 .157 .038 .035 .115 .388 .794 1.000 .849 .538 .248 .076 .075 .154 .411 .789 .995 .882 .604 .325 .132 .078 .135 .335 .633 .804 .732 .524 .308 .151 .038 .067 .198 .403 .520 .470 .331 .194 .101 .005 .014 .083 .210 .277 .236 .151 .079 .038 246 .531 3446 .250 20.15936 .016730 .058463 -.008221 Correlation Surface at 346 3446 .006 .007 .084 .200 .267 .058 .004 .010 .001 .018 .446 1.000 .469 .061 .005 .017 .019 .147 .499 .433 .227 .002 .019 .041 .000 .022 .094 .256 .003 .026 .042 .021 .001 .008 .104 .012 .019 .063 .019 .005 .026 .040 r_peak,r_snr = .11035 18.30412 Correlation Surface of oversamples image at 346 3446 .069 .143 .129 .093 .073 .043 .008 .001 .020 .113 .253 .270 .205 .144 .083 .028 .002 .006 .117 .327 .464 .453 .374 .249 .118 .030 .000 .062 .266 .542 .719 .751 .602 .328 .104 .009 .007 .117 .410 .766 1.000 .944 .576 .207 .032 .007 .016 .195 .549 .870 .936 .653 .283 .075 .035 .002 .054 .265 .491 .587 .477 .272 .127 .045 .016 .008 .087 .172 .212 .201 .168 .145 .038 .015 .001 .023 .035 .031 .029 .048 .099 346 11.750 3446 -13.844 18.30412 .026824 .019645 -.006672 Correlation Surface at 446 3446 .009 .000 .001 .005 .037 .097 .030 .008 .086 .026 .000 .000 .026 .125 .120 .017 .000 .009 .038 .007 .006 .115 .335 .166 .001 .029 .038 .005 .012 .042 .366 .704 .339 .002 .063 .005 .000 .005 .072 .479 1.000 .585 .136 .005 .014 .000 .004 .016 .377 .893 .519 .177 .051 .016 .002 .033 .000 .395 .907 .388 .061 .006 .001 .030 .032 .005 .350 .936 .357 .016 .000 .013 .080 .003 .001 .239 .676 .252 .008 .000 .032 r_peak,r_snr = .1377179 12.12438 Correlation Surface of oversamples image at 446 3446 .000 .014 .084 .214 .313 .282 .147 .036 .000 .004 .039 .161 .355 .485 .423 .216 .050 .000 .016 .072 .245 .510 .691 .605 .334 .106 .010 .034 .104 .309 .641 .889 .806 .494 .214 .064 .045 .121 .337 .704 1.000 .941 .623 .325 .146 .037 .120 .334 .692 .982 .935 .635 .347 .172 .021 .107 .323 .648 .876 .803 .525 .266 .116 .009 .096 .324 .628 .777 .644 .377 .159 .047 .002 .085 .335 .646 .744 .545 .268 .084 .012 446 .188 3446 -2.781 12.12438 .022570 .118881 -.009473 Correlation Surface at 646 3446 .112 .100 .134 .071 .172 .457 .175 .033 .079 .180 .089 .075 .100 .187 .345 .107 .012 .046 .124 .046 .051 .297 .419 .315 .027 .001 .000 .086 .028 .022 .567 .744 .231 .009 .004 .004 .145 .059 .031 .737 1.000 .131 .009 .008 .029 .164 .168 .187 .532 .696 .214 .024 .000 .087 .024 .213 .316 .388 .275 .135 .008 .002 .048 .002 .183 .237 .267 .157 .006 .022 .004 .015 .027 .116 .088 .044 .030 .008 .010 .005 .057 r_peak,r_snr = 8.90532E-02 13.23848 Correlation Surface of oversamples image at 646 3446 .072 .127 .181 .280 .463 .595 .544 .407 .274 .086 .182 .294 .441 .653 .799 .724 .511 .310 .078 .174 .342 .562 .792 .916 .805 .542 .319 .051 .109 .302 .630 .916 .963 .752 .446 .246 .036 .049 .217 .626 1.000 .976 .639 .303 .139 .062 .033 .145 .535 .956 .927 .554 .225 .085 .184 .085 .135 .409 .752 .777 .511 .247 .103 .402 .238 .187 .295 .464 .512 .420 .288 .162 .550 .404 .275 .241 .259 .261 .251 .228 .163 646 -.281 3446 1.625 13.23848 .027411 .155556 -.000391 Correlation Surface at 746 3446 .061 .220 .432 .653 .686 .394 .084 .001 .024 .043 .162 .343 .623 .715 .365 .069 .003 .038 .019 .114 .323 .670 .772 .361 .063 .001 .033 .012 .098 .314 .721 .897 .478 .094 .000 .019 .015 .075 .286 .750 1.000 .552 .124 .002 .011 .008 .037 .227 .721 .979 .531 .134 .006 .008 .003 .026 .191 .680 .959 .531 .130 .008 .007 .002 .027 .193 .677 .996 .569 .161 .018 .004 .003 .018 .166 .682 .992 .573 .228 .055 .000 r_peak,r_snr = .3513643 6.80909 Correlation Surface of oversamples image at 746 3446 .807 1.604 2.607 3.430 3.649 3.140 2.188 1.221 .514 .845 1.642 2.654 3.497 3.742 3.224 2.239 1.255 .545 .803 1.593 2.625 3.531 3.829 3.295 2.278 1.300 .604 .726 1.535 2.618 3.589 3.915 3.356 2.330 1.394 .734 746 -.063 3446 -6.188 6.80909 .005114 .119061 -.003225 Correlation Surface at 846 3446 .000 .070 .048 .030 .354 .110 .001 .008 .036 .000 .152 .262 .000 .276 .074 .031 .046 .015 .013 .036 .174 .004 .282 .015 .013 .133 .142 .103 .013 .001 .209 .781 .045 .009 .169 .317 .265 .109 .079 .423 1.000 .093 .010 .104 .202 .249 .229 .202 .318 .545 .037 .000 .004 .003 .120 .212 .172 .129 .213 .000 .042 .036 .043 .056 .171 .118 .056 .043 .045 .116 .127 .087 .002 .110 .113 .069 .009 .113 .137 .187 .105 r_peak,r_snr = .1205389 14.83651 Correlation Surface of oversamples image at 846 3446 .521 .329 .079 .001 .030 .014 .001 .004 .032 .370 .221 .026 .028 .092 .040 .002 .000 .019 .150 .056 .010 .204 .325 .158 .019 .001 .010 .024 .000 .145 .563 .717 .374 .072 .005 .009 .001 .042 .316 .851 1.000 .540 .128 .015 .009 .028 .102 .383 .848 .963 .545 .150 .023 .008 .083 .160 .359 .642 .701 .422 .137 .028 .007 .152 .214 .317 .434 .438 .278 .105 .027 .006 .196 .254 .299 .323 .286 .175 .066 .016 .002 846 -.156 3446 .688 14.83652 .009438 .055277 .002175 Correlation Surface at 946 3446 .026 .002 .086 .256 .269 .281 .088 .003 .021 .021 .006 .025 .329 .352 .077 .017 .037 .084 .033 .041 .009 .205 .377 .003 .012 .063 .122 .082 .097 .068 .177 .720 .009 .137 .000 .067 .122 .079 .044 .205 1.000 .044 .187 .033 .049 .141 .019 .001 .132 .616 .026 .082 .005 .050 .124 .009 .015 .110 .281 .006 .014 .010 .020 .049 .001 .070 .227 .264 .017 .000 .021 .003 .000 .018 .194 .262 .188 .022 .015 .028 .000 r_peak,r_snr = .1414251 20.84263 Correlation Surface of oversamples image at 946 3446 .022 .017 .197 .389 .291 .050 .015 .084 .049 .056 .004 .196 .477 .408 .081 .026 .183 .169 .082 .001 .212 .622 .623 .180 .009 .217 .290 .081 .000 .227 .758 .868 .345 .001 .161 .317 .057 .000 .206 .776 1.000 .494 .031 .075 .235 .030 .000 .136 .613 .898 .519 .067 .023 .122 .013 .000 .064 .376 .636 .410 .065 .007 .048 .005 .000 .031 .213 .393 .261 .038 .005 .018 .001 .001 .033 .158 .264 .160 .017 .006 .009 946 -.094 3446 .000 20.84263 .004766 .041766 -.001175 Correlation Surface at 1046 3446 .013 .001 .045 .202 .345 .180 .043 .043 .111 .023 .004 .051 .215 .331 .162 .026 .003 .045 .019 .001 .027 .234 .552 .242 .060 .029 .061 .005 .003 .018 .274 .939 .488 .152 .132 .075 .012 .004 .018 .276 1.000 .637 .221 .216 .079 .010 .001 .020 .245 .809 .570 .192 .206 .106 .003 .001 .039 .254 .588 .395 .131 .137 .113 .011 .000 .055 .257 .393 .200 .104 .085 .070 .013 .001 .064 .255 .323 .155 .088 .046 .039 r_peak,r_snr = .2023144 11.51611 Correlation Surface of oversamples image at 1046 3446 .166 .285 .414 .475 .399 .242 .121 .058 .027 .152 .317 .528 .639 .539 .326 .170 .099 .064 .128 .326 .631 .835 .742 .467 .257 .160 .118 .107 .312 .679 .977 .928 .623 .363 .236 .182 .085 .281 .657 1.000 1.000 .713 .440 .301 .242 .063 .238 .587 .921 .951 .708 .458 .328 .282 .046 .197 .505 .801 .844 .648 .429 .314 .287 .041 .168 .424 .672 .718 .567 .382 .277 .260 .050 .155 .351 .539 .582 .477 .334 .242 .224 1046 .250 3446 .406 11.51611 .007165 .125890 -.004655 Correlation Surface at 1146 3446 .001 .001 .000 .000 .123 .094 .001 .058 .062 .012 .028 .000 .000 .116 .138 .003 .003 .006 .072 .083 .033 .038 .188 .135 .000 .001 .000 .008 .018 .037 .229 .531 .185 .000 .018 .013 .027 .009 .001 .214 1.000 .420 .027 .081 .070 .102 .069 .049 .086 .892 .357 .031 .119 .104 .226 .156 .051 .054 .489 .050 .008 .039 .067 .236 .126 .009 .054 .241 .009 .027 .008 .009 .041 .014 .036 .192 .233 .031 .000 .021 .001 r_peak,r_snr = .1252343 16.47377 Correlation Surface of oversamples image at 1146 3446 .045 .053 .095 .187 .283 .267 .146 .047 .018 .034 .080 .195 .377 .518 .452 .238 .081 .036 .004 .054 .240 .560 .801 .702 .376 .138 .068 .005 .015 .199 .621 .991 .912 .509 .200 .100 .024 .001 .131 .556 1.000 .969 .548 .217 .105 .031 .000 .087 .449 .866 .841 .449 .154 .066 .027 .000 .075 .375 .699 .623 .276 .062 .016 .022 .001 .083 .339 .543 .397 .120 .007 .000 .022 .003 .097 .306 .397 .215 .031 .003 .017 1146 .219 3446 -1.656 16.47377 .012466 .070083 -.009015 Correlation Surface at 1246 3446 .000 .004 .000 .000 .000 .050 .013 .090 .121 .000 .003 .000 .089 .074 .040 .043 .034 .081 .004 .020 .013 .215 .371 .004 .052 .029 .105 .017 .011 .047 .136 .655 .088 .004 .037 .196 .032 .011 .101 .084 1.000 .449 .037 .041 .143 .028 .000 .064 .050 .846 .385 .037 .051 .114 .020 .001 .023 .008 .301 .124 .016 .057 .191 .002 .003 .046 .008 .090 .075 .030 .092 .309 .010 .004 .023 .023 .023 .042 .003 .035 .214 r_peak,r_snr = .1190697 18.23262 Correlation Surface of oversamples image at 1246 3446 .051 .002 .123 .320 .332 .149 .014 .004 .005 .105 .005 .076 .327 .458 .304 .084 .004 .000 .150 .021 .058 .386 .652 .517 .195 .027 .001 .161 .028 .065 .493 .877 .717 .281 .044 .002 .120 .018 .086 .577 1.000 .783 .281 .036 .001 .060 .005 .101 .559 .920 .662 .195 .012 .000 .029 .001 .091 .445 .700 .452 .092 .000 .006 .028 .002 .059 .311 .492 .294 .037 .007 .017 .052 .013 .020 .189 .341 .212 .020 .013 .024 1246 .094 3446 -.469 18.23262 .011766 .115958 -.015903 Correlation Surface at 1346 3446 .096 .034 .022 .162 .444 .300 .123 .002 .046 .090 .077 .000 .180 .619 .198 .019 .072 .146 .003 .003 .010 .203 .606 .194 .002 .071 .110 .003 .001 .030 .378 .850 .423 .023 .036 .058 .020 .073 .014 .613 1.000 .485 .088 .013 .059 .004 .009 .042 .621 .689 .169 .052 .012 .069 .092 .041 .089 .446 .445 .052 .002 .000 .001 .018 .000 .025 .201 .204 .085 .005 .061 .070 .003 .048 .001 .046 .046 .127 .041 .161 .077 r_peak,r_snr = .1244846 13.98248 Correlation Surface of oversamples image at 1346 3446 .001 .039 .254 .651 .812 .496 .150 .031 .003 .001 .052 .254 .614 .767 .465 .119 .011 .000 .018 .101 .321 .653 .799 .532 .167 .024 .001 .046 .176 .454 .783 .910 .662 .283 .081 .016 .047 .231 .592 .929 1.000 .745 .391 .174 .062 .022 .222 .639 .970 .961 .674 .379 .217 .105 .005 .166 .551 .853 .786 .476 .239 .153 .091 .001 .107 .392 .626 .543 .258 .083 .043 .029 .002 .076 .264 .417 .338 .117 .009 .000 .000 1346 -.219 3446 2.750 13.98248 .038259 .136120 .037105 Correlation Surface at 1446 3446 .093 .008 .032 .290 .379 .187 .087 .102 .000 .020 .021 .003 .179 .247 .059 .021 .083 .021 .001 .051 .041 .064 .180 .025 .016 .034 .014 .007 .037 .023 .115 .505 .327 .191 .131 .043 .001 .026 .024 .132 1.000 .772 .392 .459 .225 .001 .053 .075 .068 .975 .610 .177 .420 .242 .003 .067 .045 .098 .676 .117 .004 .128 .056 .002 .025 .019 .123 .721 .001 .074 .005 .007 .021 .001 .029 .013 .687 .002 .244 .026 .007 r_peak,r_snr = .1028987 12.52999 Correlation Surface of oversamples image at 1446 3446 .042 .202 .325 .266 .118 .027 .007 .014 .032 .033 .227 .443 .456 .304 .150 .083 .082 .094 .034 .238 .534 .680 .599 .404 .265 .225 .220 .023 .202 .552 .858 .895 .682 .465 .380 .377 .003 .127 .472 .871 1.000 .796 .541 .445 .479 .002 .066 .350 .706 .830 .655 .427 .360 .440 .005 .048 .268 .479 .489 .332 .190 .174 .278 .000 .075 .263 .328 .212 .076 .022 .031 .113 .004 .131 .327 .294 .092 .001 .013 .003 .023 1446 .406 3446 -3.063 12.52999 .023603 .121547 -.015478 Correlation Surface at 1546 3446 .075 .002 .000 .003 .070 .209 .141 .005 .008 .120 .060 .119 .056 .099 .249 .199 .018 .108 .292 .055 .123 .295 .447 .540 .308 .016 .129 .422 .007 .024 .381 .877 .895 .260 .069 .091 .303 .005 .014 .348 1.000 .923 .196 .113 .121 .080 .027 .024 .174 .504 .598 .302 .010 .079 .012 .012 .002 .023 .139 .278 .218 .004 .087 .046 .003 .054 .022 .076 .153 .066 .028 .114 .096 .028 .004 .037 .056 .125 .049 .001 .030 r_peak,r_snr = 8.35348E-02 9.8581 Correlation Surface of oversamples image at 1546 3446 .437 .172 .082 .102 .093 .078 .121 .163 .066 .684 .482 .379 .417 .326 .186 .151 .142 .041 .574 .584 .621 .751 .659 .402 .239 .139 .020 .305 .435 .621 .879 .911 .674 .391 .160 .010 .098 .214 .448 .807 1.000 .886 .554 .199 .008 .017 .074 .270 .664 .977 .980 .666 .248 .015 .004 .022 .151 .503 .853 .951 .717 .316 .049 .004 .009 .075 .329 .643 .785 .678 .398 .149 .002 .002 .026 .182 .431 .570 .557 .438 .279 1546 -6.813 3446 -2.625 9.85810 .084952 .133040 -.003422 Correlation Surface at 1646 3446 .001 .004 .089 .034 .030 .008 .008 .012 .007 .006 .010 .102 .036 .069 .041 .052 .058 .010 .005 .017 .078 .016 .457 .196 .081 .019 .012 .001 .002 .006 .107 .889 .391 .081 .001 .101 .000 .045 .001 .134 1.000 .382 .019 .002 .071 .023 .010 .005 .049 .826 .278 .000 .014 .006 .114 .029 .040 .001 .343 .119 .010 .017 .003 .118 .076 .040 .001 .178 .094 .004 .007 .002 .042 .031 .013 .000 .167 .147 .000 .026 .013 r_peak,r_snr = .1180332 14.85906 Correlation Surface of oversamples image at 1646 3446 .023 .004 .040 .271 .449 .295 .102 .047 .066 .007 .000 .108 .486 .738 .489 .173 .068 .073 .000 .004 .141 .599 .927 .649 .242 .084 .070 .000 .006 .139 .609 .992 .745 .294 .089 .052 .001 .003 .119 .580 1.000 .805 .338 .096 .036 .000 .000 .082 .509 .957 .822 .371 .109 .031 .001 .005 .031 .356 .784 .726 .352 .116 .034 .007 .021 .002 .169 .489 .497 .259 .099 .037 .015 .036 .004 .053 .230 .259 .145 .065 .033 1646 .094 3446 1.063 14.85906 .010206 .334344 -.000716 Correlation Surface at 1746 3446 .009 .012 .002 .032 .102 .022 .022 .055 .220 .032 .008 .001 .030 .053 .000 .001 .137 .430 .005 .001 .002 .025 .032 .018 .002 .208 .229 .009 .032 .038 .239 .420 .052 .007 .200 .090 .017 .002 .081 .474 1.000 .648 .133 .089 .050 .042 .037 .021 .324 .740 .762 .220 .063 .052 .065 .068 .028 .154 .333 .374 .064 .010 .009 .087 .025 .067 .026 .058 .243 .071 .004 .000 .131 .021 .020 .001 .010 .207 .244 .085 .010 r_peak,r_snr = 9.77322E-02 14.9595 Correlation Surface of oversamples image at 1746 3446 .005 .001 .005 .029 .023 .000 .055 .095 .018 .016 .032 .088 .153 .125 .026 .006 .033 .001 .115 .173 .314 .455 .413 .201 .039 .003 .018 .200 .308 .534 .776 .792 .540 .259 .119 .112 .165 .294 .555 .874 1.000 .833 .550 .339 .255 .086 .192 .418 .743 .947 .885 .672 .464 .335 .040 .116 .265 .520 .733 .726 .556 .370 .259 .028 .078 .147 .294 .470 .496 .343 .174 .098 .038 .069 .072 .118 .233 .294 .192 .059 .013 1746 -5.000 3446 -10.875 14.95951 .061542 .064739 -.030694 Correlation Surface at 1846 3446 .088 .008 .091 .379 .036 .027 .249 .114 .075 .294 .058 .100 .188 .120 .269 .584 .059 .153 .478 .061 .013 .094 .199 .448 .784 .286 .001 .427 .151 .057 .366 .636 .639 .577 .473 .363 .278 .191 .098 .600 1.000 .663 .317 .194 .187 .151 .189 .090 .183 .390 .340 .120 .042 .054 .089 .263 .214 .028 .035 .039 .002 .006 .055 .077 .366 .226 .034 .031 .014 .010 .002 .022 .173 .499 .147 .034 .063 .023 .013 .097 .123 r_peak,r_snr = 7.10572E-02 7.98211 Correlation Surface of oversamples image at 1846 3446 .049 .002 .000 .003 .031 .104 .199 .277 .279 .085 .037 .053 .117 .196 .271 .311 .312 .252 .122 .128 .246 .433 .551 .547 .455 .325 .173 .114 .199 .465 .793 .931 .821 .562 .307 .097 .069 .170 .492 .859 1.000 .869 .556 .259 .053 .046 .099 .314 .565 .671 .625 .430 .203 .037 .065 .058 .127 .215 .249 .260 .221 .120 .021 .149 .064 .046 .045 .037 .039 .051 .032 .002 .277 .109 .035 .014 .003 .000 .001 .000 .008 1846 -11.000 3446 -1.156 7.98211 .139128 .073680 .003883 Correlation Surface at 2046 3446 .015 .002 .038 .093 .236 .229 .036 .000 .063 .018 .123 .314 .650 .512 .142 .031 .024 .110 .459 .824 1.000 .593 .248 .086 .022 .166 .591 .858 .896 .469 .115 .025 .066 .179 .322 .389 .482 .439 .048 .004 .013 .224 .283 .167 .105 .193 .050 .015 .009 .158 .220 .068 .002 .021 .018 .000 r_peak,r_snr = .1059405 7.64176 Correlation Surface of oversamples image at 2046 3446 .096 .142 .154 .158 .170 .214 .315 .372 .220 .182 .238 .277 .333 .378 .394 .415 .391 .229 .305 .383 .453 .578 .663 .628 .540 .415 .237 .408 .544 .651 .811 .904 .816 .630 .428 .242 .410 .638 .796 .941 1.000 .886 .655 .419 .239 .311 .604 .828 .963 .987 .881 .664 .416 .228 .197 .460 .712 .874 .910 .839 .663 .415 .198 .137 .305 .517 .701 .770 .739 .619 .395 .157 .149 .226 .365 .525 .595 .570 .494 .330 .116 2046 10.406 3446 -12.813 7.64176 .141392 .222522 .106950 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .141 .118 .034 .173 .928 .492 .130 .023 .003 .072 .089 .018 .167 .804 .251 .039 .056 .111 .052 .142 .087 .043 .494 .187 .002 .002 .104 .142 .166 .041 .102 .558 .383 .001 .075 .000 .131 .028 .073 .463 1.000 .482 .000 .194 .054 .070 .001 .286 .579 .871 .518 .054 .029 .018 .065 .026 .073 .345 .533 .431 .223 .035 .000 .008 .135 .041 .149 .589 .353 .072 .012 .002 .001 .084 .068 .242 .995 .575 .071 .000 .038 r_peak,r_snr = .1003585 6.25617 Correlation Surface of oversamples image at 146 3846 .104 .658 1.308 1.823 2.062 1.901 1.401 .843 .399 .011 .412 1.162 1.918 2.304 2.015 1.290 .659 .301 .009 .225 1.008 2.002 2.622 2.276 1.279 .487 .148 .023 .182 1.076 2.344 3.221 2.884 1.596 .540 .119 146 .156 3846 -.156 6.25617 .036217 .119475 .023243 Correlation Surface at 246 3846 .350 .205 .004 .274 .157 .002 .067 .035 .006 .492 .245 .003 .483 .511 .066 .012 .084 .001 .097 .075 .007 .371 .598 .110 .011 .141 .022 .000 .029 .000 .268 .644 .142 .003 .161 .181 .000 .003 .000 .251 1.000 .317 .005 .043 .170 .025 .015 .002 .146 .961 .512 .030 .027 .077 .096 .199 .051 .076 .707 .555 .110 .005 .029 .083 .375 .234 .037 .688 .435 .151 .033 .002 .030 .232 .057 .028 .438 .310 .155 .085 .004 r_peak,r_snr = 9.41698E-02 9.31917 Correlation Surface of oversamples image at 246 3846 .051 .156 .427 .673 .553 .236 .061 .009 .002 .038 .155 .423 .706 .707 .449 .216 .074 .003 .010 .155 .474 .793 .862 .673 .427 .203 .036 .000 .148 .539 .902 .989 .812 .570 .329 .111 .010 .125 .536 .917 1.000 .806 .586 .392 .190 .001 .137 .515 .877 .973 .787 .599 .468 .297 246 .375 3846 1.781 9.31917 .024661 .302746 -.045839 Correlation Surface at 346 3846 .039 .159 .253 .023 .127 .024 .010 .001 .001 .000 .053 .093 .007 .403 .148 .079 .086 .065 .021 .000 .006 .079 .513 .183 .024 .030 .040 .002 .006 .027 .343 .814 .173 .031 .045 .000 .063 .001 .088 .619 1.000 .070 .342 .239 .000 .199 .039 .056 .585 .865 .000 .650 .296 .007 .087 .055 .002 .340 .750 .008 .307 .098 .011 .024 .085 .066 .049 .353 .062 .008 .003 .011 .013 .192 .273 .006 .069 .066 .039 .001 .002 r_peak,r_snr = 9.94239E-02 11.01552 Correlation Surface of oversamples image at 346 3846 .085 .124 .232 .434 .645 .723 .526 .147 .005 .124 .203 .339 .555 .725 .702 .412 .054 .071 .119 .247 .421 .652 .773 .637 .274 .004 .194 .080 .231 .460 .750 .876 .653 .214 .001 .268 .037 .163 .426 .806 1.000 .749 .236 .001 .225 .005 .068 .294 .713 .986 .776 .270 .002 .113 .010 .002 .108 .434 .707 .585 .217 .008 .033 .094 .046 .002 .137 .312 .263 .086 .002 .007 .231 .188 .038 .014 .089 .072 .016 .000 .000 346 -.500 3846 3.719 11.01552 .031549 .517971 .090993 Correlation Surface at 446 3846 .138 .244 .145 .097 .011 .119 .056 .108 .265 .002 .102 .098 .022 .128 .535 .312 .225 .286 .022 .076 .076 .011 .468 .645 .482 .636 .402 .000 .097 .057 .058 .990 .724 .283 .360 .107 .018 .068 .035 .044 1.000 .649 .086 .061 .018 .020 .105 .041 .025 .429 .130 .002 .068 .199 .054 .177 .036 .051 .300 .045 .010 .051 .361 .072 .150 .003 .088 .358 .197 .058 .046 .071 .000 .037 .023 .171 .243 .143 .140 .173 .021 r_peak,r_snr = 8.14982E-02 9.53043 Correlation Surface of oversamples image at 446 3846 .028 .000 .034 .112 .208 .252 .215 .156 .128 .009 .013 .091 .226 .330 .292 .175 .102 .097 .000 .032 .141 .335 .457 .329 .132 .044 .037 .005 .057 .207 .531 .765 .576 .243 .074 .037 .029 .091 .248 .637 1.000 .849 .434 .164 .068 .015 .037 .094 .278 .496 .450 .223 .071 .020 .004 .013 .028 .091 .178 .162 .073 .019 .004 .002 .015 .032 .078 .136 .117 .053 .015 .003 .000 .011 .039 .091 .146 .120 .051 .014 .001 446 .094 3846 -.063 9.53043 .024210 .152396 .020511 Correlation Surface at 546 3846 .410 .502 .583 .574 .633 .670 .654 .567 .544 .345 .438 .607 .697 .860 .833 .690 .549 .534 .341 .417 .609 .771 .990 .915 .732 .618 .558 .350 .436 .575 .735 .965 .817 .706 .691 .598 .293 .431 .577 .780 1.000 .817 .751 .761 .651 .256 .425 .571 .730 .878 .744 .708 .754 .669 .312 .472 .525 .603 .682 .618 .578 .656 .686 .399 .572 .597 .652 .703 .649 .542 .609 .674 .423 .644 .718 .801 .901 .759 .535 .592 .660 r_peak,r_snr = .3083594 1.81954 Correlation Surface of oversamples image at 546 3846 .483 .467 .520 .595 .622 .602 .576 .572 .565 .524 .531 .614 .718 .759 .724 .670 .638 .604 .551 .589 .696 .820 .875 .837 .767 .713 .657 .566 .640 .772 .903 .958 .913 .829 .765 .703 .574 .678 .828 .958 1.000 .936 .840 .779 .731 .550 .661 .808 .920 .946 .879 .797 .760 .741 .564 .677 .824 .922 .928 .863 .801 .789 .793 .627 .729 .861 .952 .946 .881 .834 .841 .859 .604 .665 .742 .799 .808 .775 .755 .788 .833 546 .438 3846 -1.625 1.81954 .018995 .108694 .006522 Correlation Surface at 646 3846 .409 .441 .473 .583 .518 .427 .449 .333 .368 .407 .419 .474 .664 .615 .425 .364 .314 .295 .530 .570 .491 .677 .759 .540 .350 .372 .321 .525 .654 .500 .665 .906 .677 .397 .484 .497 .337 .617 .651 .746 1.000 .789 .451 .483 .514 .240 .566 .759 .750 .899 .864 .579 .419 .399 .289 .542 .690 .647 .715 .831 .681 .435 .385 .420 .626 .638 .545 .563 .696 .677 .513 .470 .605 .752 .623 .384 .365 .530 .602 .488 .465 r_peak,r_snr = .2301982 2.39922 Correlation Surface of oversamples image at 646 3846 .487 .523 .604 .636 .573 .456 .356 .313 .319 .509 .514 .608 .703 .704 .598 .457 .363 .335 .561 .545 .646 .791 .851 .749 .557 .409 .351 .648 .624 .716 .877 .968 .862 .626 .436 .356 .743 .724 .790 .922 1.000 .890 .647 .448 .362 .802 .800 .826 .891 .924 .828 .629 .460 .378 .810 .818 .805 .802 .794 .735 .612 .487 .404 .784 .790 .751 .705 .677 .664 .621 .533 .436 .762 .755 .705 .637 .598 .616 .635 .577 .466 646 2.000 3846 7.906 2.39922 .029653 .155160 -.011829 Correlation Surface at 746 3846 .166 .239 .269 .465 .647 .514 .270 .151 .233 .149 .193 .233 .389 .565 .458 .254 .191 .291 .099 .133 .239 .503 .662 .511 .281 .183 .285 .086 .122 .246 .651 .917 .590 .220 .114 .175 .120 .127 .221 .631 1.000 .601 .189 .135 .164 .141 .128 .199 .474 .723 .485 .202 .194 .268 .080 .103 .202 .376 .462 .305 .178 .193 .300 .051 .082 .189 .403 .492 .268 .182 .225 .285 .071 .053 .123 .382 .545 .314 .200 .253 .297 r_peak,r_snr = .2990569 5.04039 Correlation Surface of oversamples image at 746 3846 .147 .218 .334 .437 .453 .417 .386 .345 .280 .143 .258 .423 .552 .563 .503 .434 .355 .273 .147 .312 .538 .716 .737 .640 .501 .348 .229 .147 .346 .625 .862 .913 .779 .554 .325 .174 .135 .335 .635 .913 1.000 .849 .565 .294 .135 .116 .292 .577 .855 .953 .815 .535 .269 .120 .103 .246 .494 .731 .803 .692 .473 .255 .126 .106 .222 .420 .589 .614 .522 .379 .232 .134 .124 .226 .374 .473 .450 .365 .276 .190 .130 746 -.063 3846 -.406 5.04039 .006302 .024178 -.000881 Correlation Surface at 846 3846 .000 .005 .021 .141 .260 .067 .012 .043 .072 .006 .002 .022 .256 .560 .238 .019 .004 .044 .007 .010 .015 .317 .732 .198 .024 .001 .053 .006 .003 .013 .316 .789 .110 .001 .004 .080 .012 .001 .016 .379 1.000 .156 .023 .010 .069 .019 .008 .000 .339 .977 .135 .032 .004 .048 .042 .018 .013 .210 .813 .094 .012 .001 .031 .085 .006 .005 .144 .786 .165 .000 .000 .044 .082 .003 .003 .075 .472 .182 .002 .019 .109 r_peak,r_snr = .1917957 15.78747 Correlation Surface of oversamples image at 846 3846 .044 .191 .506 .844 .861 .544 .233 .086 .033 .039 .186 .511 .877 .894 .517 .165 .036 .012 .038 .179 .509 .900 .939 .522 .127 .009 .000 .037 .162 .490 .910 .988 .554 .117 .001 .004 .033 .135 .446 .890 1.000 .567 .112 .000 .015 .021 .102 .388 .824 .937 .517 .088 .003 .029 .007 .069 .327 .731 .814 .417 .052 .012 .043 .000 .047 .290 .674 .737 .357 .034 .020 .048 .000 .038 .281 .683 .771 .393 .046 .013 .039 846 -.156 3846 -1.219 15.78748 .004300 .158322 -.000706 Correlation Surface at 946 3846 .006 .037 .019 .008 .087 .100 .030 .082 .024 .009 .015 .001 .060 .239 .109 .013 .013 .001 .018 .032 .002 .248 .516 .095 .002 .001 .002 .018 .061 .029 .356 .917 .158 .000 .001 .002 .038 .061 .029 .228 1.000 .198 .006 .011 .014 .074 .077 .025 .064 .565 .099 .048 .040 .000 .064 .110 .059 .012 .242 .035 .067 .042 .016 .022 .083 .104 .000 .108 .009 .047 .025 .008 .001 .030 .054 .000 .074 .004 .022 .005 .007 r_peak,r_snr = .1493884 24.9255 Correlation Surface of oversamples image at 946 3846 .012 .070 .174 .268 .259 .137 .025 .001 .017 .009 .107 .314 .472 .402 .175 .023 .003 .016 .003 .111 .424 .706 .618 .271 .040 .001 .010 .000 .077 .433 .862 .848 .418 .079 .000 .006 .003 .038 .355 .878 1.000 .557 .120 .001 .008 .006 .014 .250 .765 .998 .607 .133 .000 .019 .008 .005 .164 .599 .859 .542 .106 .002 .042 .011 .001 .106 .435 .657 .404 .058 .014 .076 .021 .000 .066 .300 .459 .265 .021 .037 .109 946 -.125 3846 -.344 24.92551 .006299 .057903 -.004270 Correlation Surface at 1046 3846 .048 .039 .014 .057 .152 .172 .195 .122 .019 .047 .046 .066 .245 .283 .136 .151 .101 .007 .000 .000 .009 .359 .469 .038 .028 .060 .000 .000 .001 .001 .382 .891 .025 .016 .047 .023 .001 .018 .001 .308 1.000 .049 .036 .043 .097 .005 .013 .002 .092 .392 .029 .018 .021 .053 .008 .011 .000 .004 .065 .001 .048 .004 .017 .014 .042 .000 .001 .029 .001 .094 .063 .008 .016 .042 .002 .001 .056 .018 .064 .110 .004 r_peak,r_snr = .1160135 15.88207 Correlation Surface of oversamples image at 1046 3846 .018 .092 .269 .371 .251 .084 .016 .015 .057 .000 .045 .272 .520 .416 .123 .005 .000 .019 .001 .039 .330 .762 .699 .210 .001 .017 .000 .001 .038 .371 .953 .961 .308 .001 .056 .023 .006 .017 .299 .898 1.000 .354 .002 .071 .050 .032 .000 .140 .590 .757 .307 .005 .044 .038 .080 .025 .022 .248 .414 .200 .009 .015 .014 .108 .073 .003 .057 .168 .100 .006 .005 .005 .077 .079 .020 .008 .067 .049 .002 .006 .008 1046 -.219 3846 -.250 15.88208 .008110 .048246 -.004144 Correlation Surface at 1146 3846 .002 .003 .015 .109 .000 .106 .043 .001 .000 .030 .006 .001 .087 .050 .088 .117 .045 .016 .174 .034 .001 .292 .281 .004 .033 .022 .000 .229 .038 .098 .959 .667 .082 .000 .003 .047 .153 .074 .078 .989 1.000 .355 .081 .114 .193 .030 .082 .000 .502 .837 .679 .146 .079 .150 .010 .006 .043 .044 .096 .227 .071 .003 .065 .054 .022 .052 .077 .098 .004 .008 .006 .056 .105 .053 .001 .075 .196 .058 .002 .062 .151 r_peak,r_snr = 9.30718E-02 15.3027 Correlation Surface of oversamples image at 1146 3846 .015 .039 .009 .016 .082 .073 .014 .002 .026 .006 .006 .009 .115 .227 .183 .067 .005 .007 .000 .011 .121 .386 .518 .352 .133 .021 .001 .006 .056 .288 .700 .843 .537 .196 .037 .000 .004 .064 .333 .805 1.000 .688 .292 .082 .010 .000 .028 .228 .651 .926 .781 .455 .210 .074 .005 .002 .099 .409 .728 .791 .645 .429 .212 .011 .004 .021 .200 .481 .664 .702 .587 .330 .014 .025 .001 .050 .218 .394 .518 .516 .312 1146 .438 3846 .531 15.30270 .292418 .534640 -.346540 Correlation Surface at 1246 3846 .000 .027 .012 .003 .005 .000 .007 .049 .217 .001 .019 .004 .032 .038 .007 .014 .000 .123 .003 .001 .002 .081 .330 .204 .073 .023 .033 .000 .013 .000 .178 .731 .434 .109 .014 .002 .008 .053 .002 .308 1.000 .467 .121 .038 .008 .020 .047 .002 .105 .399 .247 .076 .027 .001 .005 .002 .057 .018 .004 .027 .019 .011 .083 .032 .001 .171 .068 .000 .014 .030 .038 .242 .116 .002 .147 .076 .017 .035 .065 .001 .116 r_peak,r_snr = .1080077 14.31507 Correlation Surface of oversamples image at 1246 3846 .010 .002 .003 .051 .154 .183 .126 .089 .077 .002 .001 .023 .139 .362 .438 .307 .178 .100 .000 .014 .080 .300 .641 .710 .468 .239 .105 .003 .046 .173 .499 .899 .892 .530 .235 .084 .009 .082 .261 .631 1.000 .903 .483 .176 .045 .017 .107 .289 .612 .879 .739 .364 .107 .013 .033 .116 .242 .442 .585 .470 .224 .056 .001 .074 .129 .169 .236 .280 .222 .112 .031 .000 .157 .181 .139 .117 .109 .088 .059 .027 .000 1246 .188 3846 -.094 14.31507 .019681 .039436 .001266 Correlation Surface at 1346 3846 .019 .049 .002 .244 .176 .001 .069 .009 .034 .001 .012 .001 .152 .203 .000 .088 .057 .001 .001 .010 .010 .121 .326 .037 .056 .094 .013 .001 .035 .022 .194 .627 .128 .012 .040 .003 .004 .011 .009 .296 1.000 .236 .002 .008 .001 .039 .014 .007 .327 .977 .274 .005 .018 .001 .036 .048 .052 .303 .741 .222 .004 .030 .016 .036 .041 .068 .255 .480 .154 .001 .049 .046 .041 .016 .020 .132 .216 .104 .001 .069 .067 r_peak,r_snr = .199949 28.64311 Correlation Surface of oversamples image at 1346 3846 .051 .002 .153 .434 .519 .309 .072 .000 .054 .089 .000 .164 .529 .681 .441 .124 .002 .027 .103 .000 .191 .642 .853 .577 .183 .012 .009 .078 .001 .227 .732 .972 .676 .234 .025 .002 .035 .008 .254 .761 1.000 .709 .265 .037 .000 .007 .017 .250 .715 .944 .683 .268 .043 .000 .000 .022 .219 .626 .841 .619 .248 .042 .000 .001 .020 .177 .522 .725 .545 .222 .039 .000 .001 .015 .135 .414 .602 .474 .205 .042 .000 1346 -.031 3846 .375 28.64312 .004095 .049181 -.000509 Correlation Surface at 1446 3846 .083 .060 .088 .236 .039 .005 .022 .037 .068 .169 .166 .004 .069 .091 .021 .303 .128 .092 .322 .325 .124 .011 .225 .016 .043 .013 .082 .402 .439 .129 .067 .727 .365 .103 .062 .005 .151 .387 .107 .087 1.000 .882 .237 .135 .000 .067 .167 .044 .039 .584 .573 .044 .004 .069 .196 .177 .038 .041 .176 .022 .056 .100 .224 .285 .437 .193 .008 .007 .108 .225 .166 .099 .078 .331 .309 .004 .005 .061 .214 .086 .018 r_peak,r_snr = 8.69129E-02 9.06369 Correlation Surface of oversamples image at 1446 3846 .002 .060 .163 .196 .106 .010 .010 .022 .004 .009 .130 .346 .470 .346 .122 .017 .008 .034 .014 .178 .494 .751 .682 .351 .117 .068 .106 .006 .143 .463 .842 .937 .601 .239 .105 .103 .000 .064 .292 .704 1.000 .777 .332 .099 .048 .003 .015 .133 .468 .850 .768 .328 .059 .005 .005 .003 .060 .275 .583 .557 .207 .013 .007 .002 .005 .042 .154 .307 .262 .057 .003 .051 .001 .021 .050 .085 .106 .053 .000 .051 .109 1446 -10.500 3846 -3.125 9.06369 .030656 .107459 -.010751 Correlation Surface at 1646 3846 .336 .143 .041 .336 .280 .008 .018 .013 .000 .329 .367 .081 .191 .365 .031 .004 .143 .145 .215 .250 .099 .237 .620 .150 .066 .308 .245 .219 .090 .114 .370 .870 .148 .020 .109 .132 .179 .030 .143 .429 1.000 .232 .001 .009 .019 .086 .003 .029 .194 .751 .337 .011 .093 .029 .025 .005 .040 .000 .190 .185 .059 .016 .059 .011 .049 .078 .085 .010 .030 .113 .018 .018 .135 .081 .006 .030 .123 .000 .154 .099 .012 r_peak,r_snr = .1000479 12.30291 Correlation Surface of oversamples image at 1646 3846 .003 .000 .015 .109 .198 .158 .067 .041 .126 .011 .001 .026 .192 .398 .366 .185 .110 .207 .022 .014 .086 .381 .672 .562 .255 .126 .199 .019 .031 .172 .595 .906 .656 .232 .072 .095 .015 .043 .228 .711 1.000 .643 .163 .015 .008 .018 .058 .247 .705 .966 .592 .118 .000 .013 .021 .068 .230 .607 .836 .517 .097 .002 .052 .010 .050 .165 .438 .624 .387 .071 .002 .051 .001 .009 .064 .236 .380 .234 .041 .000 .016 1646 -.031 3846 2.094 12.30291 .022923 .296203 -.037388 Correlation Surface at 1846 3846 .022 .013 .026 .032 .007 .011 .000 .002 .009 .013 .028 .019 .026 .004 .163 .026 .002 .107 .044 .006 .025 .103 .330 .446 .224 .149 .003 .047 .006 .073 .537 .934 .750 .645 .478 .173 .019 .020 .001 .489 1.000 .675 .772 .409 .168 r_peak,r_snr = 8.37086E-02 6.78975 Correlation Surface of oversamples image at 1846 3846 .001 .014 .045 .089 .185 .322 .350 .261 .151 .013 .061 .203 .370 .485 .521 .433 .314 .240 .008 .074 .328 .652 .797 .751 .618 .510 .442 .000 .042 .336 .773 .967 .911 .821 .774 .687 .004 .031 .334 .801 1.000 .951 .915 .925 .828 .000 .066 .404 .829 .963 .898 .862 .872 .799 .019 .147 .501 .835 .898 .806 .713 .675 .635 .049 .199 .498 .717 .721 .615 .489 .420 .406 .035 .134 .316 .425 .400 .323 .231 .172 .161 1846 7.094 3846 13.875 6.78975 .104838 1.995703 .246954 Correlation Surface at 1946 3846 .079 .009 .005 .002 .006 .019 .156 .047 .002 .036 .011 .001 .028 .026 .013 .230 .023 .023 .000 .028 .011 .214 .371 .008 .222 .006 .189 .017 .058 .000 .588 1.000 .038 .366 .133 .031 .008 .017 .084 .639 .692 .032 .196 .265 .043 .137 .126 .155 .353 .160 .022 .004 .073 .044 .082 .069 .110 .077 .006 .012 .015 .018 .019 .000 .009 .105 .015 .009 .003 .068 .001 .006 r_peak,r_snr = .1004847 9.41035 Correlation Surface of oversamples image at 1946 3846 .056 .098 .059 .004 .003 .007 .001 .024 .216 .195 .163 .043 .009 .088 .109 .045 .002 .153 .311 .128 .001 .118 .360 .387 .168 .001 .160 .272 .038 .053 .385 .740 .709 .294 .003 .183 .124 .000 .211 .690 1.000 .816 .310 .004 .160 .026 .021 .326 .811 .949 .624 .200 .002 .093 .001 .043 .333 .713 .668 .307 .063 .000 .030 .001 .069 .319 .537 .360 .080 .002 .001 .001 .006 .113 .322 .362 .138 .002 .012 .002 .011 1946 9.500 3846 -11.344 9.41035 .013536 .039701 .003406 Correlation Surface at 2046 3846 .039 .010 .027 .025 .013 .125 .010 .011 .016 .038 .061 .055 .003 .163 .180 .001 .102 .000 .053 .108 .067 .092 .569 .276 .002 .073 .001 .088 .108 .075 .125 .875 .346 .001 .010 .007 .122 .071 .031 .155 1.000 .331 .016 .021 .005 .180 .088 .009 .143 .695 .138 .096 .098 .003 .202 .106 .010 .103 .315 .008 .178 .140 .023 .212 .035 .008 .228 .407 .006 .170 .176 .043 .161 .008 .096 .453 .850 .153 .071 .166 .038 r_peak,r_snr = .1224203 11.63933 Correlation Surface of oversamples image at 2046 3846 .208 .007 .085 .423 .839 .669 .083 .148 .772 .014 .073 .387 .858 1.253 .827 .062 .234 .904 .065 .443 .959 1.546 1.957 1.315 .163 .194 1.008 .372 1.146 1.851 2.524 3.012 2.286 .606 .024 .788 2046 -.406 3846 1.875 11.63933 .009948 .137106 .009601 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .045 .069 .005 .155 .424 .083 .002 .017 .022 .026 .020 .001 .154 .554 .114 .000 .007 .001 .137 .071 .003 .128 .744 .283 .009 .017 .000 .233 .125 .005 .106 .908 .520 .034 .001 .033 .119 .043 .002 .201 1.000 .568 .008 .106 .122 .135 .076 .000 .232 .882 .444 .001 .127 .055 .294 .218 .061 .077 .433 .281 .016 .043 .024 .246 .091 .024 .030 .159 .122 .034 .006 .014 .181 .037 .000 .044 .080 .046 .014 .002 .001 r_peak,r_snr = .1292937 13.88473 Correlation Surface of oversamples image at 146 4246 .004 .086 .387 .717 .605 .212 .024 .003 .018 .000 .049 .345 .768 .746 .314 .054 .011 .029 .004 .029 .320 .813 .883 .444 .107 .023 .023 .001 .036 .335 .854 .974 .552 .156 .026 .005 .005 .073 .389 .885 1.000 .589 .164 .012 .003 .032 .138 .464 .901 .979 .566 .135 .000 .035 .053 .189 .507 .875 .917 .524 .112 .002 .078 .031 .165 .449 .751 .788 .476 .112 .002 .085 .002 .089 .306 .531 .585 .408 .134 .001 .052 146 .344 4246 .438 13.88474 .015793 .546396 .040624 Correlation Surface at 246 4246 .119 .093 .197 .509 .664 .348 .135 .063 .001 .052 .016 .061 .479 .957 .483 .115 .100 .021 .053 .020 .037 .376 .819 .340 .040 .030 .004 .083 .089 .099 .444 .889 .332 .029 .016 .000 .072 .131 .115 .418 1.000 .487 .050 .020 .041 .020 .028 .015 .206 .657 .384 .026 .000 .115 .000 .004 .002 .191 .534 .259 .022 .002 .050 .002 .021 .000 .308 .671 .359 .083 .004 .001 .015 .003 .002 .241 .736 .501 .083 .001 .016 r_peak,r_snr = .1335429 9.57462 Correlation Surface of oversamples image at 246 4246 .064 .172 .405 .693 .770 .528 .205 .032 .000 .084 .197 .433 .712 .757 .479 .155 .014 .002 .096 .202 .452 .774 .845 .538 .170 .013 .004 .096 .183 .440 .822 .971 .671 .237 .025 .003 .081 .148 .384 .782 1.000 .762 .307 .042 .002 .054 .107 .310 .670 .897 .732 .331 .053 .003 .027 .078 .262 .574 .759 .631 .306 .058 .002 .012 .069 .267 .564 .695 .553 .279 .067 .000 .006 .079 .323 .644 .733 .551 .290 .096 .007 246 -.031 4246 -4.188 9.57462 .018402 .102939 -.013227 Correlation Surface at 346 4246 .000 .273 .640 .185 .031 .021 .000 .000 .002 .006 .200 .609 .178 .016 .043 .014 .002 .006 .057 .253 .820 .398 .069 .037 .010 .001 .026 .054 .181 .636 .780 .561 .179 .000 .013 .015 .052 .101 .334 .665 1.000 .665 .071 .002 .010 .009 .030 .156 .199 .368 .514 .241 .004 .035 .006 .007 .142 .071 .067 .152 .111 .000 .094 .001 .058 .289 .165 .125 .168 .058 .002 .038 .031 .081 .219 .155 .239 .245 .026 .002 .014 r_peak,r_snr = .10515 11.32451 Correlation Surface of oversamples image at 346 4246 .742 .419 .173 .063 .026 .010 .003 .000 .009 .825 .659 .449 .266 .126 .038 .002 .005 .031 .738 .798 .775 .641 .400 .154 .018 .007 .055 .568 .749 .928 .982 .792 .416 .103 .000 .040 .400 .544 .757 .974 1.000 .705 .288 .038 .006 .240 .291 .404 .608 .791 .747 .450 .138 .007 .114 .102 .124 .223 .381 .491 .416 .199 .034 .056 .023 .014 .037 .106 .198 .226 .139 .029 .060 .012 .000 .002 .020 .058 .082 .054 .008 346 2.156 4246 2.813 11.32452 .107792 .043360 -.042810 Correlation Surface at 446 4246 .052 .094 .037 .051 .425 .184 .005 .033 .012 .171 .182 .050 .046 .408 .202 .001 .010 .056 .072 .110 .041 .059 .495 .254 .004 .011 .077 .040 .029 .004 .166 .799 .496 .024 .009 .010 .028 .006 .004 .298 1.000 .529 .039 .000 .022 .010 .000 .020 .282 .812 .258 .000 .000 .056 .016 .004 .046 .342 .487 .057 .050 .023 .035 .011 .000 .084 .400 .367 .016 .042 .035 .018 .006 .066 .192 .281 .335 .074 .003 .017 .007 r_peak,r_snr = .1371334 15.99748 Correlation Surface of oversamples image at 446 4246 .000 .020 .149 .368 .371 .155 .023 .000 .000 .000 .025 .189 .472 .504 .233 .037 .000 .004 .001 .057 .297 .661 .709 .372 .082 .001 .009 .012 .124 .452 .872 .910 .531 .162 .013 .003 .025 .188 .570 .992 1.000 .611 .226 .042 .001 .025 .201 .595 .977 .940 .557 .215 .055 .012 .021 .182 .547 .878 .795 .421 .137 .033 .016 .031 .174 .477 .739 .631 .282 .057 .004 .003 .071 .212 .441 .615 .490 .181 .013 .005 .005 446 .250 4246 .594 15.99748 .015938 .142070 .019401 Correlation Surface at 546 4246 .133 .168 .388 .736 .842 .586 .275 .264 .397 .149 .149 .294 .704 .941 .654 .307 .231 .380 .156 .118 .228 .639 .968 .701 .361 .255 .357 .124 .123 .247 .691 1.000 .678 .345 .273 .344 .057 .126 .267 .698 .990 .599 .284 .210 .253 .045 .155 .303 .608 .858 .503 .235 .187 .184 .064 .159 .331 .564 .709 .436 .231 .192 .165 .090 .110 .236 .522 .611 .395 .227 .179 .171 r_peak,r_snr = .2469126 3.38436 Correlation Surface of oversamples image at 546 4246 .226 .385 .578 .754 .861 .869 .773 .628 .487 .188 .337 .543 .753 .892 .911 .802 .635 .485 .170 .325 .552 .791 .941 .947 .806 .609 .446 .172 .335 .581 .839 .989 .968 .791 .571 .401 .190 .350 .594 .853 1.000 .954 .755 .535 .371 .222 .365 .580 .815 .948 .886 .683 .480 .343 .267 .387 .561 .755 .860 .784 .587 .409 .306 .320 .424 .557 .700 .766 .683 .505 .353 .275 .359 .459 .564 .661 .687 .600 .449 .327 .268 546 .156 4246 -11.688 3.38436 .031973 3.142440 .238811 Correlation Surface at 646 4246 .643 .485 .369 .555 .527 .507 .550 .614 .755 .635 .468 .432 .781 .873 .649 .515 .447 .533 .565 .519 .486 .682 .916 .812 .608 .471 .431 .463 .517 .546 .661 .928 .862 .641 .474 .399 .433 .443 .579 .800 1.000 .828 .581 .375 .359 .416 .369 .544 .817 .831 .818 .631 .287 .235 .389 .336 .422 .663 .627 .732 .661 .259 .167 .410 .396 .403 .545 .640 .696 .623 .323 .234 .422 .528 .598 .646 .744 .662 .489 .370 .338 r_peak,r_snr = .2370629 2.36937 Correlation Surface of oversamples image at 646 4246 .642 .778 .830 .808 .735 .649 .578 .539 .535 .654 .819 .918 .927 .843 .728 .631 .564 .521 .631 .787 .915 .979 .941 .841 .730 .631 .549 .632 .767 .889 .978 .995 .933 .818 .688 .573 .673 .798 .899 .968 1.000 .967 .856 .703 .562 .741 .870 .947 .978 .991 .960 .852 .688 .531 .811 .935 .982 .988 .987 .950 .840 .669 .495 .848 .942 .956 .962 .979 .957 .845 .657 .456 .832 .884 .871 .893 .951 .961 .851 .635 .405 646 .938 4246 -.813 2.36937 .045471 .100856 .022538 Correlation Surface at 746 4246 .000 .014 .067 .043 .003 .149 .023 .129 .167 .004 .127 .266 .125 .002 .092 .000 .158 .076 .030 .338 .417 .066 .004 .185 .010 .064 .001 .002 .168 .139 .105 .334 .317 .124 .002 .019 .014 .088 .073 .404 1.000 .459 .223 .070 .048 .015 .079 .223 .070 .545 .200 .093 .039 .031 .008 .001 .025 .025 .262 .086 .019 .010 .006 .115 .000 .042 .111 .210 .141 .021 .026 .009 .189 .099 .002 .029 .058 .116 .048 .015 .000 r_peak,r_snr = 8.67685E-02 11.77719 Correlation Surface of oversamples image at 746 4246 .501 .279 .084 .012 .001 .036 .106 .119 .047 .425 .164 .010 .014 .057 .109 .144 .137 .076 .219 .020 .050 .223 .329 .324 .245 .180 .122 .081 .013 .281 .645 .777 .628 .375 .231 .173 .048 .048 .445 .894 1.000 .755 .421 .250 .201 .080 .019 .340 .722 .791 .584 .331 .215 .191 .120 .000 .151 .398 .446 .328 .193 .140 .139 .079 .004 .056 .193 .234 .176 .096 .065 .069 .004 .002 .042 .114 .150 .127 .062 .028 .025 746 -.125 4246 .000 11.77719 .036223 .036485 .001358 Correlation Surface at 846 4246 .153 .090 .006 .142 .445 .293 .038 .001 .001 .160 .069 .006 .151 .517 .228 .001 .018 .001 .208 .068 .009 .192 .732 .276 .000 .018 .000 .147 .055 .010 .232 .980 .384 .004 .032 .006 .069 .044 .006 .255 1.000 .380 .001 .069 .069 .038 .035 .000 .324 .873 .292 .001 .040 .064 .023 .029 .000 .330 .792 .263 .004 .008 .023 .040 .038 .000 .317 .837 .327 .008 .006 .022 .027 .010 .007 .388 .825 .338 .005 .013 .032 r_peak,r_snr = .2157165 12.99264 Correlation Surface of oversamples image at 846 4246 .000 .237 1.096 2.254 2.789 2.083 .859 .173 .009 .000 .272 1.238 2.522 3.102 2.339 .996 .212 .011 .002 .331 1.427 2.866 3.541 2.722 1.193 .246 .004 .027 .479 1.717 3.251 3.955 3.114 1.429 .294 .001 846 -.031 4246 4.781 12.99265 .004949 .321650 .016480 Correlation Surface at 946 4246 .029 .018 .018 .067 .052 .001 .007 .001 .009 .015 .016 .014 .073 .059 .002 .050 .008 .007 .002 .005 .007 .076 .166 .004 .080 .041 .000 .003 .000 .001 .148 .634 .168 .010 .013 .002 .006 .001 .005 .160 1.000 .371 .009 .005 .016 .006 .001 .034 .038 .586 .236 .006 .017 .021 .004 .001 .020 .005 .259 .135 .004 .000 .000 .001 .000 .010 .004 .197 .118 .001 .048 .060 .004 .019 .019 .000 .097 .087 .000 .099 .088 r_peak,r_snr = .1667156 37.20004 Correlation Surface of oversamples image at 946 4246 .013 .041 .063 .082 .079 .032 .001 .061 .152 .023 .068 .134 .220 .254 .158 .025 .012 .086 .030 .104 .251 .464 .574 .412 .133 .003 .024 .020 .104 .324 .677 .890 .686 .277 .039 .001 .003 .059 .280 .700 1.000 .811 .351 .069 .002 .003 .013 .165 .545 .871 .742 .328 .069 .004 .015 .000 .068 .343 .630 .566 .254 .054 .005 .018 .005 .023 .203 .428 .405 .188 .042 .005 .010 .005 .012 .139 .315 .310 .151 .037 .005 946 .063 4246 -.031 37.20005 .005728 .021913 -.001944 Correlation Surface at 1046 4246 .092 .186 .118 .018 .111 .115 .251 .117 .021 .076 .154 .172 .001 .163 .147 .081 .000 .013 .028 .123 .074 .025 .316 .170 .010 .057 .138 .006 .063 .010 .162 .663 .214 .001 .116 .249 .058 .025 .040 .126 1.000 .263 .025 .229 .359 .045 .015 .148 .000 .710 .266 .000 .149 .394 .009 .058 .184 .040 .285 .249 .077 .002 .238 .002 .078 .145 .047 .076 .124 .063 .013 .025 .008 .000 .010 .004 .026 .016 .008 .026 .010 r_peak,r_snr = .131574 19.78609 Correlation Surface of oversamples image at 1046 4246 .001 .067 .179 .281 .291 .194 .115 .098 .065 .007 .131 .312 .458 .453 .277 .111 .046 .015 .003 .141 .408 .653 .661 .392 .116 .015 .000 .007 .068 .375 .772 .879 .538 .138 .003 .020 .079 .002 .222 .725 1.000 .674 .182 .003 .033 .221 .036 .073 .535 .932 .714 .232 .016 .011 .330 .123 .008 .325 .730 .643 .261 .055 .005 .340 .159 .000 .195 .532 .526 .261 .106 .067 .292 .126 .001 .133 .381 .387 .214 .122 .133 1046 .000 4246 -.906 19.78610 .007779 .058105 -.006928 Correlation Surface at 1246 4246 .074 .051 .104 .058 .008 .002 .026 .007 .066 .001 .063 .087 .008 .095 .081 .002 .003 .224 .023 .015 .003 .018 .187 .112 .002 .034 .222 .005 .026 .002 .166 .550 .217 .000 .030 .103 .005 .058 .001 .317 1.000 .523 .014 .013 .094 .001 .072 .032 .140 .552 .330 .099 .147 .336 .000 .158 .155 .000 .115 .068 .055 .231 .538 .016 .140 .205 .088 .006 .002 .003 .024 .253 .043 .016 .064 .108 .141 .055 .033 .019 .029 r_peak,r_snr = .109905 18.32316 Correlation Surface of oversamples image at 1246 4246 .006 .011 .013 .044 .127 .173 .121 .048 .007 .020 .049 .077 .155 .277 .288 .161 .050 .010 .016 .071 .167 .357 .566 .525 .259 .063 .007 .003 .060 .224 .554 .889 .836 .431 .112 .010 .002 .034 .212 .596 1.000 .992 .585 .207 .040 .017 .011 .150 .472 .824 .866 .598 .304 .124 .052 .000 .065 .267 .497 .559 .445 .314 .218 .135 .030 .005 .088 .209 .253 .222 .207 .216 .264 .125 .019 .005 .047 .064 .056 .073 .119 1246 .250 4246 -.031 18.32317 .021457 .038158 -.002987 Correlation Surface at 1346 4246 .013 .049 .209 .347 .443 .173 .004 .036 .015 .009 .148 .274 .282 .344 .386 .228 .042 .091 .123 .125 .105 .279 .491 .503 .347 .139 .359 .240 .169 .030 .293 .953 .601 .193 .081 .348 .226 .160 .011 .123 1.000 .805 .226 .029 .084 .128 .049 .001 .012 .648 .819 .236 .005 .002 .029 .005 .018 .037 .473 .697 .159 .001 .004 .003 .006 .082 .142 .426 .684 .176 .011 .035 .006 .049 .068 .095 .392 .620 .109 .049 .048 r_peak,r_snr = .1147425 8.5808 Correlation Surface of oversamples image at 1346 4246 .107 .178 .232 .256 .328 .475 .583 .541 .388 .059 .208 .401 .486 .516 .566 .558 .441 .284 .035 .238 .600 .782 .746 .666 .545 .369 .202 .021 .229 .693 .987 .934 .760 .560 .343 .157 .010 .177 .620 .984 1.000 .819 .590 .345 .136 .007 .129 .486 .848 .956 .834 .607 .347 .125 .011 .115 .394 .712 .875 .815 .589 .313 .105 .030 .138 .370 .629 .795 .777 .550 .250 .065 .075 .201 .404 .611 .767 .786 .551 .210 .031 1346 .219 4246 -11.156 8.58080 .029033 .222238 -.050731 Correlation Surface at 1446 4246 .108 .112 .003 .038 .046 .005 .013 .020 .051 .110 .105 .004 .018 .047 .011 .001 .006 .002 .172 .049 .002 .065 .224 .058 .008 .000 .003 .104 .016 .002 .202 .816 .229 .001 .002 .003 .015 .003 .000 .263 1.000 .234 .023 .000 .008 .022 .035 .004 .121 .445 .024 .102 .003 .006 .052 .140 .042 .051 .244 .002 .077 .014 .000 .026 .137 .053 .049 .260 .059 .000 .000 .001 .000 .061 .097 .000 .130 .091 .032 .050 .026 r_peak,r_snr = .1183676 17.64143 Correlation Surface of oversamples image at 1446 4246 .062 .028 .003 .006 .023 .013 .000 .001 .000 .033 .008 .004 .062 .118 .087 .024 .002 .000 .019 .001 .039 .212 .360 .296 .117 .018 .001 .011 .001 .097 .430 .721 .620 .271 .044 .000 .004 .004 .145 .593 1.000 .866 .369 .047 .001 .001 .009 .151 .581 .982 .814 .300 .018 .017 .000 .010 .112 .412 .679 .493 .115 .002 .066 .001 .006 .067 .234 .342 .174 .004 .065 .150 .006 .004 .053 .155 .169 .039 .018 .152 .209 1446 .125 4246 -.281 17.64144 .010589 .045801 .003412 Correlation Surface at 1546 4246 .004 .000 .010 .088 .153 .112 .077 .086 .119 .001 .043 .000 .035 .156 .112 .066 .090 .130 .004 .074 .000 .061 .227 .134 .019 .071 .057 .002 .010 .004 .192 .524 .208 .001 .029 .110 .013 .000 .003 .262 1.000 .368 .001 .037 .344 .035 .001 .020 .229 .935 .454 .027 .156 .442 .030 .002 .108 .220 .546 .393 .067 .157 .216 .009 .002 .075 .206 .415 .246 .029 .072 .080 .001 .010 .008 .107 .338 .115 .012 .067 .078 r_peak,r_snr = .1144542 10.52206 Correlation Surface of oversamples image at 1546 4246 .012 .012 .070 .269 .498 .478 .230 .048 .011 .002 .006 .086 .353 .644 .612 .301 .072 .020 .002 .012 .135 .486 .838 .791 .415 .135 .059 .014 .051 .234 .632 .992 .907 .493 .195 .112 .070 .151 .362 .717 1.000 .860 .450 .186 .124 .153 .273 .450 .700 .869 .681 .315 .117 .088 .190 .328 .469 .631 .706 .488 .178 .045 .037 .150 .276 .420 .557 .579 .347 .088 .007 .006 .104 .209 .373 .531 .539 .296 .061 .002 .001 1546 .156 4246 -3.813 10.52207 .014070 .090092 -.005897 Correlation Surface at 1646 4246 .000 .025 .003 .151 .080 .057 .022 .058 .304 .016 .033 .002 .319 .195 .184 .129 .142 .297 .000 .089 .047 .153 .151 .183 .458 .338 .081 .008 .125 .160 .066 .440 .494 .587 .293 .000 .001 .023 .001 .374 1.000 .646 .341 .156 .019 .046 .016 .109 .505 .738 .252 .119 .024 .002 .055 .054 .088 .292 .483 .233 .139 .003 .166 .005 .074 .013 .129 .429 .383 .448 .229 .000 .002 .022 .004 .035 .273 .119 .249 .590 .216 r_peak,r_snr = 7.40844E-02 8.07636 Correlation Surface of oversamples image at 1646 4246 .141 .012 .040 .153 .188 .188 .213 .244 .209 .086 .000 .098 .305 .410 .410 .381 .351 .281 .023 .018 .231 .564 .749 .716 .574 .430 .313 .000 .080 .382 .787 .990 .872 .617 .402 .272 .019 .154 .464 .845 1.000 .806 .497 .284 .186 .050 .196 .459 .760 .866 .650 .341 .161 .102 .071 .202 .417 .653 .734 .546 .266 .107 .061 .079 .194 .391 .599 .674 .546 .314 .152 .087 .069 .167 .359 .566 .643 .580 .445 .311 .215 1646 .000 4246 -6.750 8.07636 .087756 .124530 .056013 Correlation Surface at 1746 4246 .746 .295 .000 .026 .006 .043 .223 .432 .172 .031 .028 .000 .016 .000 .067 .045 .024 .120 .103 .001 .049 .011 .026 .026 .248 .714 .200 .000 .001 .021 .053 .338 1.000 .673 .067 .104 .003 .002 .053 .409 .527 .092 .094 .002 .044 .085 .043 .142 .010 .029 .000 .074 .132 .009 .033 .005 .078 .012 .075 .051 .000 .000 .007 r_peak,r_snr = 8.05626E-02 9.6765 Correlation Surface of oversamples image at 1746 4246 .004 .011 .043 .062 .034 .003 .005 .009 .002 .000 .009 .095 .236 .262 .138 .026 .001 .000 .007 .006 .141 .457 .639 .455 .163 .033 .013 .013 .004 .168 .608 .955 .796 .384 .134 .065 .017 .002 .150 .586 1.000 .941 .559 .265 .157 .033 .001 .075 .388 .745 .782 .532 .310 .221 .073 .025 .007 .148 .379 .447 .335 .232 .206 .121 .096 .020 .014 .113 .159 .128 .114 .139 .156 .189 .108 .011 .009 .023 .019 .031 .066 1746 12.156 4246 4.875 9.67650 .063787 .082742 -.031406 Correlation Surface at 1846 4246 .013 .076 .057 .055 .116 .099 .006 .001 .015 .008 .007 .054 .062 .157 .258 .069 .001 .000 .050 .002 .020 .038 .225 .313 .164 .006 .000 .001 .002 .000 .117 .574 .516 .261 .080 .011 .029 .014 .003 .212 1.000 .910 .331 .145 .000 .053 .005 .019 .205 .712 .489 .080 .034 .007 .062 .001 .018 .160 .247 .055 .001 .000 .003 .045 .004 .017 .200 .308 .025 .026 .021 .002 .063 .018 .035 .230 .368 .034 .097 .294 .091 r_peak,r_snr = 9.79484E-02 12.84636 Correlation Surface of oversamples image at 1846 4246 .016 .100 .212 .265 .275 .255 .156 .041 .000 .029 .138 .296 .393 .400 .353 .235 .093 .017 .044 .202 .442 .610 .613 .500 .336 .178 .074 .043 .247 .581 .831 .841 .664 .440 .261 .146 .029 .239 .646 .977 1.000 .777 .492 .281 .162 .014 .185 .586 .934 .957 .724 .422 .205 .101 .005 .122 .427 .682 .672 .468 .234 .083 .026 .005 .095 .300 .432 .365 .198 .068 .011 .000 .014 .114 .272 .314 .188 .050 .002 .003 .007 1846 .281 4246 .188 12.84637 .038396 .077243 .006766 Correlation Surface at 1946 4246 .023 .032 .204 .436 .083 .007 .044 .026 .016 .073 .041 .141 .454 .089 .012 .022 .016 .012 .093 .048 .079 .379 .292 .023 .035 .012 .015 .048 .002 .009 .374 .762 .191 .081 .087 .001 .050 .022 .024 .290 1.000 .178 .011 .061 .017 .029 .018 .070 .108 .965 .141 .027 .014 .006 .008 .006 .070 .045 .876 .287 .000 .029 .041 .022 .008 .008 .068 .528 .304 .050 .002 .048 .091 .123 .026 .078 .222 .067 .004 .035 .127 r_peak,r_snr = .1205639 15.45669 Correlation Surface of oversamples image at 1946 4246 .028 .008 .177 .528 .689 .419 .120 .032 .046 .038 .001 .131 .487 .683 .400 .079 .002 .001 .045 .000 .110 .496 .763 .476 .092 .000 .011 .070 .003 .099 .538 .909 .657 .180 .004 .013 .098 .011 .085 .544 1.000 .846 .345 .054 .000 .090 .015 .061 .458 .908 .881 .495 .169 .030 .049 .012 .033 .304 .649 .696 .478 .231 .067 .008 .003 .024 .195 .418 .455 .330 .179 .051 1946 .156 4246 1.063 15.45669 .010686 .349801 -.021040 Correlation Surface at 2046 4246 .015 .008 .001 .024 .236 .215 .077 .017 .025 .000 .010 .001 .064 .389 .306 .040 .007 .019 .045 .039 .025 .094 .451 .234 .013 .018 .048 .204 .064 .018 .140 .756 .147 .001 .022 .061 .132 .036 .000 .227 1.000 .105 .018 .003 .025 .062 .023 .002 .176 .797 .093 .026 .000 .022 .053 .024 .001 .113 .459 .114 .015 .005 .002 .088 .032 .002 .074 .163 .066 .001 .002 .002 .142 .063 .001 .011 .014 .001 .007 .001 .000 r_peak,r_snr = .1501606 23.74962 Correlation Surface of oversamples image at 2046 4246 .081 .010 .049 .287 .465 .378 .176 .054 .014 .118 .030 .034 .319 .545 .393 .134 .019 .000 .110 .035 .036 .393 .695 .475 .128 .005 .006 .059 .014 .066 .512 .880 .589 .137 .001 .016 .018 .000 .114 .612 1.000 .661 .138 .000 .027 .003 .004 .144 .606 .965 .645 .124 .002 .047 .001 .005 .115 .462 .769 .545 .102 .009 .082 .000 .002 .056 .262 .506 .415 .087 .010 .106 .000 .001 .020 .114 .275 .272 .072 .005 .093 2046 .031 4246 .625 23.74963 .005090 .081425 .002450 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .726 .576 .298 .147 .205 .680 .711 .694 .546 .266 .167 .178 .404 .548 .542 .419 .287 .321 .445 .399 .228 .382 .213 .257 .567 .917 .688 .262 .327 .182 .232 .674 1.000 .663 .296 .201 .213 .272 .496 .745 .544 .203 r_peak,r_snr = .1194627 2.77346 Correlation Surface of oversamples image at 146 4646 1.425 2.130 2.592 2.422 1.578 .619 .085 .000 .823 1.657 2.621 3.087 2.456 1.221 .330 .065 .367 1.122 2.324 3.370 3.226 2.000 .809 .328 .187 .830 2.057 3.412 3.810 2.868 1.541 .831 146 14.000 4646 16.813 2.77346 .060128 .227732 .009826 Correlation Surface at 246 4646 .145 .222 .333 .521 .686 .404 .199 .137 .102 .064 .140 .332 .537 .749 .463 .241 .187 .164 .043 .108 .311 .561 .742 .452 .255 .277 .279 .064 .130 .342 .772 .954 .535 .227 .225 .282 .095 .111 .271 .748 1.000 .549 .209 .136 .166 .077 .082 .164 .528 .836 .491 .214 .151 .172 .027 .069 .106 .369 .850 .602 .206 .145 .223 .004 .058 .113 .343 .891 .742 .219 .119 .216 .002 .047 .144 .407 .869 .663 .235 .116 .173 r_peak,r_snr = .2276552 6.99309 Correlation Surface of oversamples image at 246 4646 .159 .276 .353 .408 .481 .533 .474 .326 .204 .165 .292 .405 .510 .609 .644 .537 .340 .187 .173 .311 .476 .666 .819 .824 .641 .380 .189 .168 .311 .515 .779 .990 .970 .717 .411 .197 .151 .286 .496 .775 1.000 .972 .700 .397 .195 .124 .242 .428 .672 .868 .843 .601 .342 .177 .093 .187 .340 .540 .712 .708 .514 .296 .160 .068 .136 .256 .429 .607 .653 .508 .306 .166 .050 .100 .194 .352 .554 .667 .579 .374 .200 246 -.281 4646 -4.219 6.99309 .014450 .140516 -.013358 Correlation Surface at 346 4646 .005 .012 .217 .611 .388 .030 .044 .018 .002 .008 .067 .151 .435 .292 .042 .000 .029 .026 .001 .009 .026 .209 .216 .002 .016 .096 .200 .027 .014 .005 .218 .511 .001 .174 .004 .247 .010 .012 .038 .205 1.000 .039 .121 .009 .223 .001 .000 .031 .094 .757 .096 .005 .012 .272 .001 .005 .011 .076 .488 .070 .001 .028 .289 .027 .005 .092 .029 .382 .139 .009 .004 .167 .064 .023 .129 .006 .252 .134 .037 .004 .081 r_peak,r_snr = .1032979 14.41474 Correlation Surface of oversamples image at 346 4646 .009 .009 .135 .280 .212 .041 .009 .094 .101 .025 .009 .202 .458 .372 .081 .010 .144 .195 .038 .010 .278 .696 .650 .207 .000 .127 .236 .057 .006 .291 .826 .911 .417 .031 .050 .171 .078 .001 .240 .781 1.000 .613 .136 .001 .066 .079 .000 .187 .661 .922 .682 .245 .018 .011 .063 .000 .150 .547 .784 .620 .265 .038 .001 .052 .001 .118 .464 .680 .544 .241 .038 .001 .058 .006 .082 .396 .619 .514 .242 .048 .000 346 -.125 4646 .375 14.41475 .009074 .067496 -.007873 Correlation Surface at 446 4646 .200 .267 .090 .155 .412 .122 .000 .009 .133 .047 .066 .037 .101 .317 .169 .080 .071 .188 .019 .024 .002 .072 .518 .283 .208 .106 .123 .057 .139 .016 .134 .993 .456 .102 .005 .007 .074 .247 .032 .169 1.000 .496 .013 .018 .001 .113 .286 .031 .058 .395 .273 .001 .003 .004 .149 .295 .011 .052 .115 .114 .001 .005 .036 .093 .264 .026 .071 .057 .029 .000 .012 .095 .007 .125 .046 .005 .021 .010 .033 .042 .127 r_peak,r_snr = .1019861 12.94215 Correlation Surface of oversamples image at 446 4646 .134 .121 .162 .318 .551 .614 .434 .265 .227 .088 .119 .200 .414 .687 .720 .459 .213 .122 .068 .144 .271 .550 .863 .840 .452 .120 .017 .046 .165 .332 .654 .999 .933 .435 .058 .004 .022 .160 .339 .645 1.000 .942 .415 .038 .022 .006 .125 .275 .495 .789 .796 .369 .037 .016 .000 .080 .173 .274 .449 .512 .269 .035 .005 .003 .042 .091 .112 .180 .241 .144 .021 .002 .016 .021 .055 .047 .061 .090 .056 .005 .003 446 .188 4646 .781 12.94216 .016980 .078717 .000849 Correlation Surface at 546 4646 .054 .059 .102 .347 .729 .544 .155 .067 .126 .047 .073 .150 .355 .679 .579 .182 .085 .150 .058 .069 .167 .438 .779 .640 .258 .154 .194 .053 .065 .152 .448 .921 .737 .346 .207 .222 .029 .045 .127 .408 1.000 .846 .398 .170 .128 .022 .032 .093 .344 .986 .878 .437 .152 .042 .025 .042 .063 .267 .771 .708 .384 .148 .022 .015 .038 .051 .244 .663 .546 .282 .124 .037 .009 .025 .062 .252 .654 .533 .225 .110 .071 r_peak,r_snr = .2515606 6.57015 Correlation Surface of oversamples image at 546 4646 .265 .437 .623 .740 .685 .487 .281 .147 .091 .249 .447 .687 .831 .761 .546 .332 .187 .120 .219 .425 .715 .915 .862 .644 .417 .250 .156 .189 .392 .712 .966 .953 .747 .513 .320 .191 .163 .361 .694 .980 1.000 .810 .578 .374 .217 .138 .332 .665 .961 .994 .813 .590 .397 .234 .115 .299 .615 .898 .934 .761 .554 .385 .242 .100 .274 .563 .812 .838 .678 .491 .349 .238 .099 .268 .534 .741 .743 .590 .420 .297 .214 546 .281 4646 .156 6.57015 .014866 .604439 -.060586 Correlation Surface at 746 4646 .016 .049 .084 .015 .006 .082 .229 .197 .258 .105 .008 .011 .008 .008 .060 .227 .194 .062 .123 .004 .216 .172 .121 .279 .559 .424 .061 .050 .000 .237 .520 .552 .619 .650 .527 .149 .003 .005 .083 .627 1.000 .700 .277 .218 .142 .000 .000 .051 .591 .926 .348 .033 .035 .083 .020 .000 .077 .596 .740 .149 .008 .037 .022 .006 .003 .057 .306 .469 .312 .086 .067 .000 .014 .000 .118 .248 .321 .509 .167 .057 .002 r_peak,r_snr = .1033923 9.92918 Correlation Surface of oversamples image at 746 4646 .256 .284 .227 .177 .136 .121 .166 .282 .360 .347 .488 .471 .402 .327 .277 .299 .397 .459 .277 .541 .687 .707 .630 .521 .451 .452 .454 .132 .410 .711 .909 .912 .761 .570 .439 .356 .038 .237 .563 .882 1.000 .862 .597 .374 .236 .011 .136 .395 .701 .855 .746 .491 .268 .134 .013 .111 .296 .509 .599 .487 .290 .144 .063 .030 .129 .262 .378 .382 .257 .122 .054 .026 .048 .150 .248 .300 .262 .150 .056 .024 .018 746 -.063 4646 -1.094 9.92918 .086165 .131524 .035931 Correlation Surface at 846 4646 .009 .018 .002 .122 .415 .248 .083 .003 .015 .000 .056 .001 .099 .395 .246 .040 .000 .030 .022 .158 .004 .109 .324 .173 .034 .005 .003 .001 .187 .045 .161 .695 .241 .054 .058 .071 .019 .124 .101 .043 1.000 .519 .104 .081 .090 .001 .088 .085 .000 .452 .429 .109 .045 .024 .011 .052 .009 .046 .308 .115 .007 .003 .000 .004 .036 .000 .155 .358 .027 .000 .005 .000 .008 .074 .018 .046 .130 .005 .016 .071 .011 r_peak,r_snr = .1271274 15.65246 Correlation Surface of oversamples image at 846 4646 .000 .015 .085 .247 .390 .347 .190 .059 .007 .000 .018 .100 .280 .428 .362 .191 .068 .018 .005 .018 .139 .391 .559 .426 .196 .068 .027 .021 .009 .168 .545 .788 .570 .227 .064 .027 .048 .000 .142 .617 1.000 .763 .298 .071 .025 .081 .008 .070 .496 .975 .846 .364 .090 .027 .112 .034 .013 .268 .677 .688 .345 .101 .032 .121 .051 .000 .108 .348 .398 .223 .078 .030 .095 .033 .000 .062 .175 .182 .091 .030 .014 846 .094 4646 -.250 15.65246 .009140 .033098 -.005963 Correlation Surface at 946 4646 .030 .072 .053 .039 .157 .162 .072 .090 .057 .056 .073 .034 .075 .351 .327 .096 .039 .047 .034 .013 .010 .104 .580 .507 .162 .039 .029 .004 .013 .003 .121 .831 .741 .261 .099 .071 .009 .078 .050 .114 1.000 .878 .310 .101 .097 .011 .115 .095 .039 .732 .729 .269 .067 .043 .002 .066 .094 .000 .245 .369 .166 .032 .003 .012 .012 .031 .013 .030 .143 .055 .000 .008 .013 .000 .001 .001 .006 .045 .000 .009 .006 r_peak,r_snr = .1577099 19.24048 Correlation Surface of oversamples image at 946 4646 .001 .021 .187 .485 .668 .610 .412 .216 .107 .006 .025 .245 .605 .789 .689 .458 .242 .122 .012 .037 .330 .748 .909 .741 .469 .243 .117 .017 .047 .397 .857 .996 .768 .453 .220 .095 .020 .046 .398 .861 1.000 .755 .418 .186 .072 .024 .030 .320 .736 .882 .674 .364 .155 .057 .028 .010 .194 .512 .660 .528 .292 .125 .047 .026 .000 .084 .287 .425 .376 .220 .095 .033 .013 .001 .025 .132 .248 .258 .161 .064 .016 946 .406 4646 .281 19.24048 .010497 .076728 -.004821 Correlation Surface at 1046 4646 .163 .160 .002 .000 .209 .054 .052 .038 .000 .061 .027 .016 .020 .492 .064 .079 .024 .000 .017 .026 .009 .054 .808 .119 .014 .009 .014 .005 .044 .006 .164 .893 .214 .000 .002 .011 .033 .006 .008 .460 1.000 .231 .001 .016 .002 .216 .176 .001 .443 .711 .096 .003 .085 .091 .241 .204 .001 .161 .235 .000 .003 .033 .202 .087 .075 .074 .095 .090 .017 .051 .003 .039 .004 .046 .053 .170 .083 .019 .036 .019 .001 r_peak,r_snr = 9.95960E-02 16.89837 Correlation Surface of oversamples image at 1046 4646 .002 .001 .027 .225 .438 .273 .028 .011 .037 .006 .012 .091 .351 .576 .389 .088 .002 .003 .031 .066 .212 .524 .737 .533 .192 .039 .005 .037 .123 .355 .722 .906 .670 .303 .102 .027 .012 .126 .440 .859 1.000 .708 .336 .130 .037 .000 .085 .422 .847 .929 .592 .247 .093 .027 .009 .044 .311 .659 .690 .377 .111 .030 .009 .009 .023 .181 .398 .408 .188 .027 .001 .000 .000 .021 .087 .192 .208 .089 .004 .005 .002 1046 -.125 4646 2.125 16.89837 .025387 .277579 .041480 Correlation Surface at 1146 4646 .136 .118 .031 .012 .023 .187 .179 .164 .068 .071 .107 .051 .139 .287 .275 .072 .001 .022 .430 .618 .005 .041 .012 .416 1.000 .065 .125 .037 .251 .789 .114 .052 .001 .102 .219 .007 .001 .027 .116 .026 .003 .001 .084 .244 .036 r_peak,r_snr = 9.58440E-02 11.98709 Correlation Surface of oversamples image at 1146 4646 .310 .221 .201 .322 .487 .441 .223 .067 .002 .316 .315 .316 .436 .595 .547 .319 .131 .028 .233 .329 .396 .540 .723 .697 .460 .234 .085 .161 .355 .516 .691 .880 .856 .601 .333 .148 .145 .457 .724 .895 1.000 .902 .613 .334 .155 .156 .560 .885 .989 .933 .724 .428 .205 .088 .145 .520 .803 .822 .663 .423 .191 .062 .020 .118 .361 .525 .486 .336 .174 .053 .004 .000 .121 .232 .274 .204 .109 .047 .012 .000 .007 1146 14.469 4646 4.125 11.98709 .051480 .128548 -.029740 Correlation Surface at 1246 4646 .162 .185 .045 .205 .520 .167 .072 .054 .019 .071 .246 .027 .071 .455 .342 .209 .022 .006 .007 .096 .065 .145 .557 .233 .137 .020 .001 .046 .129 .173 .346 .699 .253 .036 .001 .004 .022 .210 .200 .547 1.000 .379 .002 .020 .029 .001 .246 .240 .539 .846 .163 .020 .007 .021 .022 .235 .425 .467 .240 .000 .005 .178 .067 .070 .158 .306 .377 .058 .001 .008 .197 .298 .198 .256 .158 .257 .043 .051 .120 .134 .284 r_peak,r_snr = 8.14229E-02 7.86235 Correlation Surface of oversamples image at 1246 4646 .011 .291 1.023 1.358 .969 .427 .126 .696 1.160 1.257 1.074 .651 .787 1.487 1.445 1.072 .924 .725 2.164 2.788 2.057 1.115 .845 .848 1246 -3.750 4646 2.875 7.86235 .050430 .299671 .038060 Correlation Surface at 1346 4646 .003 .000 .048 .199 .157 .014 .005 .039 .054 .002 .007 .029 .329 .366 .049 .007 .033 .023 .010 .021 .010 .441 .692 .138 .003 .006 .001 .051 .042 .003 .344 .970 .241 .001 .002 .002 .059 .046 .013 .250 1.000 .295 .001 .016 .001 .040 .029 .000 .212 .652 .164 .001 .018 .002 .034 .031 .007 .143 .278 .055 .007 .006 .018 .054 .067 .002 .079 .221 .065 .027 .002 .009 .118 .151 .045 .033 .292 .134 .054 .018 .001 r_peak,r_snr = .1968471 23.37737 Correlation Surface of oversamples image at 1346 4646 .015 .174 .483 .680 .532 .193 .012 .009 .015 .003 .143 .500 .794 .687 .290 .030 .009 .033 .001 .088 .440 .819 .806 .399 .059 .006 .057 .013 .046 .372 .820 .915 .526 .109 .002 .073 .024 .026 .329 .820 1.000 .640 .167 .000 .070 .024 .021 .303 .784 .988 .663 .198 .004 .050 .012 .026 .273 .670 .823 .546 .171 .007 .026 .002 .034 .221 .475 .540 .334 .101 .006 .011 .000 .039 .155 .274 .271 .147 .040 .003 .004 1346 -.063 4646 -.313 23.37737 .004312 .056947 -.000694 Correlation Surface at 1446 4646 .008 .017 .001 .073 .162 .115 .039 .009 .072 .030 .058 .001 .070 .097 .033 .052 .009 .000 .110 .119 .011 .107 .195 .010 .002 .009 .005 .182 .178 .024 .165 .613 .082 .044 .019 .000 .058 .144 .042 .193 1.000 .211 .117 .139 .020 .000 .085 .086 .101 .912 .186 .111 .180 .035 .001 .095 .129 .061 .809 .124 .034 .044 .001 .024 .086 .115 .055 .886 .129 .009 .010 .065 .053 .058 .075 .042 .922 .193 .012 .021 .155 r_peak,r_snr = .1472931 18.48622 Correlation Surface of oversamples image at 1446 4646 .643 .078 .355 2.133 3.189 1.867 .316 .024 .274 .752 .129 .284 2.123 3.427 2.098 .376 .014 .190 .773 .176 .201 1.969 3.543 2.375 .489 .004 .134 .602 .148 .181 1.910 3.767 2.870 .761 .004 .083 1446 .156 4646 .813 18.48623 .006216 .071848 -.004568 Correlation Surface at 1546 4646 .002 .006 .033 .414 .624 .099 .010 .013 .022 .001 .002 .045 .250 .608 .102 .016 .037 .007 .005 .001 .051 .118 .563 .105 .011 .082 .060 .019 .000 .024 .065 .681 .219 .001 .076 .049 .000 .012 .033 .115 1.000 .436 .001 .003 .007 .000 .030 .056 .126 .523 .243 .002 .055 .259 .052 .001 .027 .006 .018 .026 .008 .022 .250 .096 .002 .030 .000 .007 .003 .028 .013 .000 .069 .003 .091 .051 .003 .001 .024 .034 .035 r_peak,r_snr = .1153255 14.4459 Correlation Surface of oversamples image at 1546 4646 .000 .306 1.290 2.778 4.000 3.662 1.981 .542 .068 .000 .273 1.115 2.399 3.607 3.509 1.994 .561 .088 .005 .264 .889 1.858 2.975 3.176 1.951 .589 .117 .025 .274 .682 1.336 2.328 2.765 1.833 .586 .132 .061 .313 .561 .978 1.872 2.495 1.763 .570 .118 1546 -.313 4646 -2.813 14.44591 .010945 .043621 .001119 Correlation Surface at 1646 4646 .089 .018 .002 .411 .649 .507 .503 .242 .059 .188 .042 .343 1.000 .546 .451 .392 .000 .158 .156 .016 .237 .340 .412 .294 .022 .007 .090 .011 .001 .086 .683 .373 .053 .022 .026 .004 .000 .002 .517 .536 .027 .016 .035 .001 .001 .001 .323 .448 r_peak,r_snr = 7.27695E-02 7.95834 Correlation Surface of oversamples image at 1646 4646 .021 .134 .198 .114 .037 .014 .012 .029 .071 .018 .160 .313 .285 .168 .102 .103 .178 .292 .005 .150 .410 .549 .505 .380 .316 .384 .517 .003 .095 .413 .754 .898 .743 .513 .462 .550 .034 .033 .294 .703 1.000 .904 .570 .416 .472 .089 .000 .117 .411 .696 .715 .494 .371 .436 .139 .026 .011 .134 .297 .382 .369 .385 .497 .141 .063 .001 .028 .089 .156 .252 .421 .617 .095 .051 .001 .017 .039 .063 .150 .383 .665 1646 11.125 4646 -14.094 7.95834 .055502 .051074 -.013387 Correlation Surface at 1746 4646 .006 .047 .104 .096 .018 .053 .009 .001 .018 .028 .003 .002 .003 .014 .010 .004 .002 .009 .000 .001 .033 .241 .324 .030 .011 .008 .012 .055 .037 .004 .161 .889 .125 .083 .082 .013 .014 .017 .100 .031 1.000 .202 .028 .042 .051 .022 .000 .143 .004 .557 .067 .049 .056 .225 .009 .023 .105 .000 .189 .005 .171 .192 .248 .001 .056 .043 .005 .105 .013 .049 .011 .035 .009 .011 .003 .028 .046 .000 .015 .056 .000 r_peak,r_snr = 9.59074E-02 18.40857 Correlation Surface of oversamples image at 1746 4646 .155 .205 .267 .305 .214 .076 .009 .003 .018 .032 .060 .180 .402 .421 .172 .007 .046 .148 .035 .012 .040 .382 .627 .323 .013 .101 .318 .285 .199 .000 .345 .843 .545 .045 .089 .310 .526 .405 .016 .332 1.000 .737 .098 .042 .164 .541 .421 .018 .311 .951 .713 .104 .024 .076 .419 .326 .014 .229 .666 .454 .043 .045 .087 .310 .248 .020 .107 .318 .165 .000 .111 .160 .248 .202 .037 .025 .094 .020 .035 .185 .206 1746 .125 4646 .188 18.40858 .009441 .129247 -.006886 Correlation Surface at 1846 4646 .002 .003 .014 .071 .067 .070 .126 .015 .017 .007 .000 .004 .068 .121 .052 .037 .008 .086 .099 .030 .000 .102 .439 .075 .000 .001 .002 .043 .023 .015 .220 .952 .446 .035 .014 .000 .002 .005 .000 .281 1.000 .757 .180 .019 .075 .016 .020 .039 .047 .485 .480 .134 .006 .163 .003 .002 .093 .004 .281 .224 .097 .048 .006 .033 .016 .002 .121 .403 .072 .041 .135 .058 .003 .012 .019 .415 .567 .004 .000 .113 .037 r_peak,r_snr = 8.43418E-02 13.35427 Correlation Surface of oversamples image at 1846 4646 .431 .778 .413 .016 .220 .768 1.021 .841 .577 .125 .224 .050 .039 .447 .915 .834 .398 .181 .006 .015 .157 .507 1.052 1.321 .763 .092 .004 .377 .654 1.203 1.791 2.389 2.373 1.090 .037 .142 1846 -.313 4646 -2.125 13.35428 .052949 .158693 -.026945 Correlation Surface at 1946 4646 .093 .094 .065 .004 .204 .176 .044 .006 .007 .090 .135 .048 .019 .246 .236 .089 .000 .004 .073 .138 .045 .036 .341 .271 .118 .021 .001 .059 .101 .025 .097 .629 .311 .107 .027 .011 .036 .074 .007 .265 1.000 .377 .058 .002 .056 .032 .069 .012 .185 .706 .222 .004 .007 .057 .043 .071 .017 .065 .281 .045 .011 .010 .010 .049 .050 .005 .084 .244 .053 .002 .001 .001 .033 .032 .006 .083 .309 .167 .013 .000 .005 r_peak,r_snr = .2050198 25.29282 Correlation Surface of oversamples image at 1946 4646 .069 .014 .017 .164 .357 .398 .306 .212 .135 .059 .006 .041 .254 .488 .514 .373 .238 .147 .040 .000 .094 .399 .678 .670 .462 .275 .160 .023 .005 .172 .579 .881 .816 .539 .304 .163 .016 .014 .236 .706 1.000 .869 .548 .293 .140 .016 .015 .238 .694 .952 .786 .464 .227 .093 .024 .006 .177 .540 .741 .582 .303 .119 .036 .032 .001 .107 .351 .483 .353 .144 .033 .003 .033 .000 .065 .219 .291 .191 .054 .002 .003 1946 .063 4646 .125 25.29282 .004698 .019127 .001465 Correlation Surface at 2046 4646 .024 .023 .004 .014 .192 .029 .000 .005 .042 .001 .007 .001 .040 .196 .004 .035 .037 .120 .003 .005 .006 .049 .338 .050 .022 .052 .121 .020 .026 .036 .059 .742 .285 .002 .025 .048 .035 .046 .051 .061 1.000 .397 .014 .002 .000 .012 .044 .065 .031 .626 .163 .001 .001 .012 .001 .017 .050 .009 .259 .014 .051 .005 .009 .001 .028 .060 .000 .105 .001 .052 .001 .011 .002 .037 .051 .015 .021 .000 .020 .000 .012 r_peak,r_snr = .1577299 30.70487 Correlation Surface of oversamples image at 2046 4646 .003 .001 .066 .246 .342 .226 .075 .012 .000 .036 .003 .058 .329 .544 .439 .205 .065 .015 .070 .012 .059 .420 .753 .650 .332 .128 .046 .079 .013 .071 .507 .924 .795 .395 .155 .071 .071 .009 .086 .557 1.000 .843 .395 .145 .074 .063 .005 .093 .531 .920 .760 .338 .111 .057 .055 .003 .083 .430 .712 .571 .236 .063 .025 .043 .003 .056 .290 .462 .352 .124 .018 .002 .031 .004 .028 .167 .266 .190 .050 .001 .003 2046 .125 4646 .000 30.70487 .005091 .036319 .000634 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .136 .211 .328 .416 .401 .328 .286 .314 .287 .148 .245 .368 .492 .508 .368 .320 .330 .249 .156 .384 .458 .493 .643 .484 .386 .312 .147 .189 .401 .502 .536 .790 .642 .457 .347 .155 .262 .313 .429 .704 1.000 .815 .499 .388 .218 .257 .292 .364 .644 .897 .771 .498 .342 .198 .194 .324 .379 .493 .641 .598 .490 .344 .172 .136 .265 .353 .534 .632 .514 .465 .383 .246 .134 .196 .300 .661 .820 .529 .377 .388 .377 r_peak,r_snr = .2350669 4.72774 Correlation Surface of oversamples image at 146 5046 .380 .429 .536 .609 .571 .467 .387 .356 .331 .404 .459 .598 .711 .684 .553 .437 .379 .334 .428 .517 .690 .834 .816 .660 .506 .414 .351 .436 .577 .784 .950 .941 .771 .584 .456 .370 .419 .601 .825 .997 1.000 .841 .644 .489 .379 .392 .578 .783 .933 .945 .826 .654 .497 .378 .378 .529 .680 .782 .792 .720 .602 .476 .370 .387 .482 .565 .615 .613 .573 .512 .438 .361 .410 .457 .487 .492 .471 .444 .426 .406 .361 146 .250 5046 .000 4.72774 .025496 .057769 -.000577 Correlation Surface at 246 5046 .029 .004 .005 .119 .422 .151 .086 .202 .114 .008 .001 .031 .176 .320 .157 .052 .093 .061 .040 .003 .073 .306 .380 .244 .189 .187 .146 .007 .012 .097 .456 .871 .711 .474 .270 .187 .002 .003 .058 .478 1.000 .821 .397 .191 .059 .002 .006 .022 .510 .776 .339 .235 .203 .036 .006 .004 .043 .523 .776 .165 .144 .233 .046 .003 .001 .092 .547 .716 .139 .040 .156 .029 .004 .001 .124 .733 .696 .167 .025 .094 .020 r_peak,r_snr = .1379689 12.53094 Correlation Surface of oversamples image at 246 5046 .002 .086 .516 1.321 2.074 2.232 1.359 .327 .027 .032 .212 .769 1.570 2.291 2.463 1.568 .402 .018 .082 .360 1.078 1.963 2.643 2.686 1.698 .456 .011 .161 .560 1.548 2.693 3.330 3.046 1.822 .518 .019 246 -.500 5046 2.844 12.53095 .048139 .184570 .047131 Correlation Surface at 346 5046 .300 .454 .610 .640 .617 .561 .615 .451 .279 .279 .482 .711 .631 .559 .532 .619 .468 .262 .253 .418 .747 .708 .578 .507 .520 .404 .262 .253 .326 .637 .869 .795 .536 .449 .405 .316 .236 .291 .446 .873 1.000 .560 .441 .532 .412 .197 .289 .335 .643 .912 .540 .429 .618 .513 .199 .292 .322 .399 .645 .520 .450 .604 .504 .255 .355 .363 .337 .483 .505 .479 .534 .405 .237 .380 .379 .390 .476 .488 .459 .442 .333 r_peak,r_snr = .2592845 3.29755 Correlation Surface of oversamples image at 346 5046 .619 .782 .822 .762 .669 .582 .526 .499 .493 .557 .772 .891 .883 .793 .678 .585 .517 .464 .463 .688 .874 .952 .916 .804 .676 .560 .464 .372 .566 .781 .944 .996 .918 .766 .609 .485 .304 .452 .658 .870 1.000 .973 .816 .636 .507 .261 .365 .537 .753 .927 .949 .811 .630 .513 .232 .302 .430 .617 .802 .868 .769 .606 .506 .210 .257 .344 .492 .668 .767 .720 .587 .502 .201 .235 .294 .407 .559 .674 .677 .584 .511 346 -.344 5046 -1.094 3.29755 .015381 .054046 -.007872 Correlation Surface at 446 5046 .013 .002 .057 .132 .105 .070 .012 .004 .002 .050 .042 .025 .136 .041 .016 .011 .022 .031 .009 .020 .013 .193 .220 .024 .011 .001 .071 .025 .024 .047 .329 .667 .012 .000 .079 .003 .075 .063 .073 .454 1.000 .146 .015 .237 .056 .034 .013 .021 .318 .764 .177 .035 .219 .147 .021 .004 .015 .279 .475 .063 .004 .023 .054 .042 .019 .026 .254 .418 .091 .005 .000 .001 .049 .026 .005 .065 .224 .132 .015 .005 .000 r_peak,r_snr = .1299048 21.33693 Correlation Surface of oversamples image at 446 5046 .005 .070 .168 .200 .090 .000 .109 .193 .109 .018 .087 .232 .374 .269 .036 .036 .130 .058 .058 .140 .354 .631 .566 .179 .000 .043 .010 .088 .171 .456 .873 .871 .378 .038 .002 .002 .060 .122 .423 .936 1.000 .506 .103 .009 .031 .015 .047 .295 .815 .925 .507 .149 .041 .078 .000 .010 .186 .644 .760 .420 .145 .065 .109 .000 .008 .163 .552 .635 .328 .111 .060 .094 .003 .028 .213 .560 .581 .273 .082 .042 .053 446 -.219 5046 .000 21.33693 .010416 .071165 -.007696 Correlation Surface at 546 5046 .004 .003 .038 .012 .349 .294 .235 .200 .109 .006 .002 .053 .003 .278 .142 .110 .174 .046 .023 .008 .027 .029 .436 .202 .115 .357 .111 .045 .017 .018 .085 .779 .437 .207 .371 .151 .034 .008 .028 .130 1.000 .471 .159 .217 .141 .003 .003 .056 .063 .855 .331 .073 .216 .256 .000 .013 .040 .046 .658 .325 .050 .163 .244 .000 .001 .004 .054 .525 .271 .017 .023 .056 .000 .000 .000 .024 .320 .192 .007 .002 .004 r_peak,r_snr = .1493017 9.60831 Correlation Surface of oversamples image at 546 5046 .119 .100 .001 .135 .398 .351 .119 .029 .049 .122 .091 .000 .199 .551 .517 .214 .068 .080 .124 .075 .007 .304 .752 .723 .344 .124 .102 .123 .059 .024 .419 .925 .869 .425 .145 .082 .122 .048 .040 .493 1.000 .887 .404 .111 .038 .124 .048 .039 .482 .952 .796 .319 .061 .010 .134 .055 .024 .397 .813 .666 .238 .030 .002 .133 .056 .014 .310 .674 .565 .193 .019 .000 .105 .043 .013 .270 .598 .513 .178 .015 .000 546 .156 5046 -2.031 9.60831 .007309 .121240 .001723 Correlation Surface at 646 5046 .024 .004 .028 .312 .416 .312 .193 .050 .045 .083 .032 .033 .302 .547 .400 .194 .053 .033 .136 .085 .060 .208 .479 .435 .170 .036 .010 .122 .092 .107 .333 .641 .475 .172 .025 .000 .054 .035 .071 .454 1.000 .611 .198 .055 .003 .041 .027 .032 .261 .843 .553 .164 .056 .001 .045 .037 .059 .235 .626 .525 .180 .078 .004 .019 .015 .093 .330 .612 .634 .274 .115 .024 .034 .026 .059 .237 .424 .419 .206 .039 .008 r_peak,r_snr = .1730858 13.22823 Correlation Surface of oversamples image at 646 5046 .007 .050 .183 .379 .480 .391 .237 .133 .082 .035 .089 .222 .408 .530 .482 .337 .211 .128 .086 .158 .319 .539 .686 .660 .501 .341 .221 .118 .215 .420 .700 .885 .853 .659 .464 .324 .100 .208 .438 .772 1.000 .955 .712 .491 .353 .053 .140 .346 .687 .957 .923 .653 .417 .288 .018 .070 .218 .514 .803 .815 .563 .327 .203 .006 .036 .138 .380 .665 .733 .531 .300 .167 .008 .041 .142 .368 .640 .738 .593 .374 .214 646 .188 5046 -.844 13.22824 .013914 .044131 -.003457 Correlation Surface at 746 5046 .154 .082 .008 .398 .511 .017 .264 .808 .765 .130 .002 .156 .569 1.000 .300 .000 .424 .384 .059 .046 .300 .149 .141 .089 .274 .021 .021 .137 .007 .081 .034 .218 .072 .077 .061 .002 .124 .066 .000 .279 .528 .076 .000 .019 .072 .031 .006 .099 .063 .368 .058 .025 .001 .111 r_peak,r_snr = 7.30977E-02 6.73761 Correlation Surface of oversamples image at 746 5046 .293 .065 .000 .018 .015 .000 .002 .002 .047 .692 .239 .005 .060 .092 .021 .000 .005 .002 .720 .274 .000 .188 .320 .149 .015 .013 .084 .362 .114 .018 .405 .716 .501 .169 .005 .068 .070 .003 .086 .550 1.000 .884 .491 .144 .002 .001 .028 .133 .440 .782 .786 .563 .322 .150 .000 .050 .094 .162 .239 .236 .208 .216 .281 .037 .006 .010 .000 .007 .020 .010 .005 .131 .246 .045 .046 .185 .440 .604 .477 .193 .001 746 -.813 5046 -17.375 6.73761 .051258 .032012 -.009380 Correlation Surface at 846 5046 .012 .103 .157 .344 .519 .021 .016 .001 .000 .001 .150 .291 .514 .778 .125 .025 .024 .028 .052 .105 .186 .504 .692 .080 .016 .005 .013 .009 .001 .006 .389 .927 .076 .024 .000 .002 .012 .000 .001 .330 1.000 .155 .031 .018 .002 .008 .003 .027 .321 .501 .043 .071 .062 .001 .001 .000 .005 .251 .184 .007 .237 .106 .000 .004 .003 .005 .242 .251 .001 .397 .246 .000 .001 .120 .094 .273 .438 .031 .271 .268 .001 r_peak,r_snr = .1162948 12.31531 Correlation Surface of oversamples image at 846 5046 .136 .197 .386 .671 .786 .569 .261 .099 .067 .232 .309 .527 .852 .999 .760 .369 .117 .033 .329 .418 .619 .892 1.000 .766 .378 .106 .010 .332 .448 .624 .811 .845 .613 .285 .069 .002 .212 .360 .559 .719 .697 .446 .165 .024 .000 .074 .221 .476 .690 .651 .353 .084 .001 .009 .011 .117 .408 .713 .685 .330 .046 .007 .042 846 -.094 5046 -1.969 12.31531 .010203 .076190 .000252 Correlation Surface at 946 5046 .006 .009 .039 .002 .182 .068 .001 .028 .030 .022 .005 .030 .005 .125 .021 .008 .001 .000 .002 .000 .007 .175 .405 .059 .014 .017 .029 .016 .001 .046 .383 .935 .163 .048 .051 .020 .034 .000 .008 .250 1.000 .169 .092 .084 .013 .007 .000 .000 .116 .656 .147 .040 .056 .035 .012 .009 .000 .083 .323 .135 .001 .027 .087 .063 .012 .002 .062 .178 .064 .004 .053 .167 .000 .010 .030 .053 .202 .035 .003 .030 .138 r_peak,r_snr = .1346428 22.36328 Correlation Surface of oversamples image at 946 5046 .019 .000 .025 .098 .141 .095 .026 .001 .004 .000 .017 .105 .253 .307 .190 .049 .000 .011 .008 .068 .231 .483 .578 .361 .089 .000 .037 .020 .105 .323 .683 .854 .547 .125 .002 .092 .010 .083 .313 .749 1.000 .644 .124 .013 .172 .000 .031 .220 .655 .953 .615 .099 .029 .230 .017 .003 .123 .486 .776 .514 .079 .030 .207 .045 .001 .067 .340 .581 .409 .079 .010 .115 .060 .003 .049 .255 .432 .330 .095 .000 .032 946 -.031 5046 -.375 22.36328 .007703 .119628 -.008369 Correlation Surface at 1046 5046 .005 .031 .215 .044 .129 .292 .157 .046 .019 .037 .013 .245 .083 .224 .495 .569 .157 .039 .038 .018 .055 .058 .267 .503 .639 .204 .015 .031 .112 .012 .024 .490 .361 .193 .046 .015 .008 .047 .015 .234 1.000 .346 .000 .034 .099 .005 .006 .000 .155 .961 .498 .001 .138 .104 .001 .000 .000 .061 .509 .429 .014 .057 .033 .000 .001 .001 .020 .131 .158 .008 .032 .005 .008 .023 .012 .008 .061 .073 .002 .042 .002 r_peak,r_snr = .104654 15.2857 Correlation Surface of oversamples image at 1046 5046 .004 .134 .409 .410 .236 .116 .059 .037 .050 .003 .163 .514 .600 .446 .280 .150 .076 .077 .005 .169 .588 .796 .724 .542 .317 .155 .121 .009 .152 .599 .917 .965 .804 .508 .255 .167 .004 .140 .535 .858 1.000 .916 .619 .314 .175 .004 .168 .448 .641 .765 .762 .553 .277 .122 .078 .271 .405 .403 .407 .413 .320 .151 .040 .238 .442 .427 .249 .141 .107 .077 .027 .000 .363 .594 .498 .200 .036 .002 .000 .007 .031 1046 1.531 5046 -2.156 15.28571 .015089 .101351 .004752 Correlation Surface at 1146 5046 .007 .002 .033 .000 .311 .482 .061 .012 .023 .041 .008 .022 .076 .456 .354 .231 .115 .006 .095 .037 .030 .059 .394 .195 .258 .339 .022 .009 .016 .019 .066 .571 .300 .158 .141 .000 .073 .001 .008 .225 1.000 .235 .015 .002 .018 .057 .001 .082 .154 .376 .001 .088 .039 .020 .003 .002 .052 .119 .092 .049 .138 .034 .005 .028 .005 .003 .194 .394 .004 .043 .026 .019 .005 .002 .005 .148 .470 .001 .124 .063 .272 r_peak,r_snr = 7.07636E-02 6.86488 Correlation Surface of oversamples image at 1146 5046 .015 .035 .161 .414 .608 .496 .244 .162 .254 .001 .005 .090 .343 .585 .506 .238 .131 .192 .000 .000 .066 .363 .698 .633 .294 .123 .129 .001 .000 .067 .438 .897 .811 .351 .107 .068 .000 .000 .071 .479 1.000 .859 .306 .052 .014 .010 .007 .074 .419 .851 .664 .158 .002 .003 .046 .033 .077 .285 .521 .349 .035 .018 .037 .105 .084 .089 .176 .268 .148 .002 .049 .049 .158 .144 .124 .158 .191 .101 .001 .035 .025 1146 .156 5046 -.031 6.86488 .029667 .070792 .017894 Correlation Surface at 1246 5046 .036 .029 .056 .003 .031 .176 .231 .099 .002 .074 .087 .164 .000 .150 .296 .186 .048 .001 .235 .107 .108 .015 .478 .365 .161 .041 .007 .432 .129 .044 .110 .880 .434 .090 .028 .005 .359 .121 .067 .112 1.000 .600 .071 .001 .020 .138 .069 .206 .003 .780 .706 .222 .002 .067 .225 .164 .239 .011 .349 .382 .185 .026 .005 .482 .516 .213 .002 .101 .063 .034 .036 .050 .201 .568 .218 .010 .093 .019 .071 .050 .054 r_peak,r_snr = 9.93040E-02 11.84791 Correlation Surface of oversamples image at 1246 5046 .027 .006 .039 .284 .506 .506 .421 .344 .258 .006 .002 .101 .433 .706 .666 .485 .341 .237 .000 .024 .180 .559 .852 .783 .526 .319 .188 .003 .047 .232 .637 .952 .866 .551 .295 .140 .000 .032 .208 .627 1.000 .935 .579 .288 .117 .014 .002 .122 .528 .975 .972 .610 .309 .131 .071 .016 .039 .376 .852 .933 .616 .334 .170 .141 .067 .002 .215 .634 .778 .550 .316 .185 .172 .098 .003 .097 .388 .540 .406 .234 .145 1246 .219 5046 .344 11.84792 .026647 .407116 -.061305 Correlation Surface at 1346 5046 .000 .004 .002 .021 .081 .124 .114 .101 .058 .001 .009 .003 .028 .138 .121 .027 .022 .041 .018 .027 .004 .058 .415 .307 .021 .007 .050 .023 .007 .000 .113 .781 .524 .053 .016 .063 .015 .006 .001 .205 1.000 .556 .049 .018 .089 .011 .037 .034 .308 .854 .411 .028 .033 .159 .003 .032 .060 .288 .598 .280 .031 .036 .114 .000 .015 .090 .214 .459 .296 .034 .014 .029 .006 .028 .121 .181 .400 .336 .043 .012 .015 r_peak,r_snr = .1872895 13.05645 Correlation Surface of oversamples image at 1346 5046 .000 .015 .122 .332 .470 .373 .161 .041 .020 .000 .026 .205 .519 .687 .519 .216 .050 .016 .000 .042 .305 .713 .886 .653 .281 .072 .022 .001 .065 .400 .855 .999 .712 .311 .085 .027 .000 .104 .485 .921 1.000 .677 .283 .075 .023 .008 .169 .563 .918 .910 .573 .221 .053 .018 .038 .258 .626 .855 .760 .441 .160 .037 .017 .084 .334 .647 .752 .593 .322 .117 .032 .022 .110 .357 .616 .642 .459 .236 .091 .031 .028 1346 .375 5046 -.688 13.05645 .007200 .079211 .008899 Correlation Surface at 1446 5046 .053 .055 .014 .065 .321 .074 .011 .003 .002 .056 .088 .034 .074 .510 .122 .011 .016 .000 .007 .047 .027 .130 .767 .117 .000 .016 .001 .000 .012 .009 .191 .988 .203 .002 .023 .004 .004 .004 .006 .321 1.000 .210 .003 .017 .015 .005 .044 .049 .462 .890 .120 .003 .002 .001 .000 .045 .068 .313 .596 .061 .002 .005 .001 .000 .014 .037 .144 .356 .064 .002 .004 .000 .012 .027 .058 .178 .412 .127 .002 .001 .003 r_peak,r_snr = .1648323 17.96 Correlation Surface of oversamples image at 1446 5046 .080 .000 .096 .379 .557 .365 .101 .012 .005 .066 .000 .149 .511 .682 .403 .087 .002 .000 .042 .005 .210 .650 .827 .472 .098 .001 .004 .017 .018 .265 .756 .951 .557 .127 .002 .004 .002 .039 .310 .801 1.000 .611 .158 .007 .002 .000 .061 .337 .786 .949 .584 .161 .012 .000 .006 .076 .335 .721 .826 .488 .134 .013 .000 .016 .075 .289 .606 .675 .381 .100 .012 .003 .019 .056 .209 .465 .537 .302 .075 .009 .006 1446 -.094 5046 .500 17.96000 .015518 1.095673 .103123 Correlation Surface at 1546 5046 .688 .634 .005 .098 .122 .040 .000 .001 .265 .333 .413 .024 .275 .126 .050 .332 .070 .332 .072 .411 .006 .522 .472 .072 .646 .499 .000 .025 .503 .136 .410 .919 .009 .435 .532 .146 .041 .635 .484 .145 1.000 .002 .216 .239 .063 .029 .652 .539 .058 .708 .018 .184 .304 .142 .023 .042 .068 .030 .234 .014 .238 .394 .412 .233 .223 .044 .106 .044 .004 .226 .104 .238 .081 .098 .032 .558 .293 .032 .134 .016 .014 r_peak,r_snr = 6.61962E-02 6.5522 Correlation Surface of oversamples image at 1546 5046 .000 .145 .386 .402 .225 .047 .005 .085 .184 .012 .086 .438 .662 .492 .144 .001 .126 .296 .049 .032 .402 .847 .789 .299 .003 .129 .348 .101 .003 .302 .872 .966 .437 .021 .091 .295 .172 .003 .207 .798 1.000 .510 .050 .040 .175 .264 .021 .146 .709 .944 .514 .076 .008 .071 .318 .037 .108 .612 .835 .471 .090 .000 .020 .285 .040 .068 .449 .637 .374 .078 .000 .011 .181 .030 .026 .223 .346 .213 .036 .003 .038 1546 -.156 5046 .250 6.55220 .023257 .760561 -.083721 Correlation Surface at 1646 5046 .012 .000 .002 .013 .271 .169 .023 .005 .011 .002 .007 .047 .234 .408 .190 .055 .005 .008 .055 .135 .028 .428 .500 .070 .000 .010 .018 .027 .206 .000 .480 .763 .061 .049 .067 .166 .001 .036 .002 .479 1.000 .182 .001 .018 .052 .000 .001 .008 .264 .776 .285 .061 .013 .008 .021 .023 .004 .019 .340 .368 .201 .093 .028 .023 .033 .037 .009 .040 .251 .275 .213 .137 .025 .006 .016 .021 .014 .093 .103 .119 .250 r_peak,r_snr = .1075292 16.62642 Correlation Surface of oversamples image at 1646 5046 .049 .311 .588 .705 .571 .266 .061 .005 .000 .023 .244 .535 .724 .661 .345 .076 .001 .007 .009 .178 .477 .753 .778 .470 .137 .010 .002 .003 .133 .446 .809 .911 .612 .234 .049 .006 .001 .093 .400 .828 1.000 .729 .340 .126 .050 .000 .044 .284 .720 .970 .785 .441 .233 .146 .008 .004 .119 .468 .791 .766 .539 .371 .291 .043 .015 .011 .189 .493 .639 .586 .502 .448 .087 .065 .007 .036 .220 .432 .536 .558 .555 1646 -.063 5046 .594 16.62642 .020012 .179292 -.029210 Correlation Surface at 1746 5046 .036 .018 .028 .198 .419 .211 .002 .097 .007 .004 .000 .051 .171 .454 .192 .001 .070 .023 .028 .000 .022 .184 .700 .302 .009 .010 .006 .023 .001 .001 .212 .946 .441 .036 .000 .004 .007 .016 .001 .250 1.000 .569 .134 .007 .020 .063 .070 .000 .343 .970 .527 .185 .043 .050 .151 .077 .000 .235 .658 .409 .192 .123 .140 .087 .011 .013 .099 .314 .342 .184 .096 .120 .008 .022 .099 .163 .260 .256 .115 .027 .051 r_peak,r_snr = .1537552 13.89308 Correlation Surface of oversamples image at 1746 5046 .065 .084 .141 .277 .438 .430 .238 .074 .009 .038 .069 .166 .385 .621 .600 .339 .118 .024 .019 .056 .193 .503 .814 .774 .444 .169 .043 .008 .046 .210 .585 .948 .900 .532 .224 .070 .003 .040 .220 .620 1.000 .963 .598 .281 .106 .001 .041 .230 .626 .995 .975 .641 .332 .146 .000 .045 .242 .618 .953 .942 .644 .356 .176 .000 .047 .242 .585 .871 .856 .598 .345 .189 .001 .038 .208 .500 .744 .738 .534 .325 .193 1746 .219 5046 .750 13.89309 .011329 2.169415 .048177 Correlation Surface at 1846 5046 .023 .000 .000 .061 .206 .217 .048 .017 .028 .010 .006 .001 .011 .129 .206 .183 .002 .027 .026 .000 .006 .027 .179 .155 .118 .050 .005 .012 .002 .015 .109 .506 .159 .000 .012 .030 .000 .019 .118 .049 1.000 .350 .034 .055 .015 .007 .028 .179 .002 .855 .422 .032 .235 .223 .014 .011 .007 .073 .560 .231 .021 .153 .159 .081 .025 .025 .341 .441 .092 .000 .000 .000 .000 .011 .000 .150 .228 .049 .029 .131 .117 r_peak,r_snr = .102086 11.86246 Correlation Surface of oversamples image at 1846 5046 .027 .000 .101 .316 .330 .156 .036 .002 .000 .009 .021 .251 .555 .460 .132 .001 .034 .046 .033 .016 .335 .797 .680 .190 .000 .090 .155 .156 .001 .278 .898 .897 .315 .006 .095 .255 .350 .039 .183 .864 1.000 .436 .031 .071 .306 .388 .064 .140 .791 .970 .470 .050 .059 .321 .191 .018 .176 .769 .890 .436 .052 .053 .291 .019 .007 .278 .797 .824 .396 .057 .032 .195 .015 .079 .376 .785 .744 .358 .074 .003 .065 1846 .313 5046 -.563 11.86246 .012051 .090944 -.012824 Correlation Surface at 1946 5046 .029 .024 .014 .070 .108 .013 .022 .091 .070 .023 .009 .028 .166 .281 .087 .018 .209 .140 .015 .002 .039 .241 .466 .216 .001 .098 .066 .002 .009 .020 .316 .710 .289 .015 .019 .037 .002 .012 .003 .361 1.000 .255 .013 .004 .072 .000 .031 .000 .295 .952 .213 .001 .022 .138 .009 .082 .026 .127 .595 .177 .000 .024 .124 .005 .054 .028 .039 .385 .177 .054 .008 .031 .001 .013 .001 .029 .360 .247 .166 .084 .008 r_peak,r_snr = .154468 17.13246 Correlation Surface of oversamples image at 1946 5046 .000 .024 .134 .330 .474 .449 .287 .122 .030 .006 .007 .118 .374 .562 .501 .293 .123 .039 .015 .003 .130 .471 .715 .590 .300 .110 .037 .018 .003 .168 .601 .891 .690 .305 .091 .025 .016 .008 .212 .701 1.000 .745 .301 .071 .013 .018 .009 .217 .686 .953 .694 .269 .053 .004 .030 .004 .172 .560 .773 .557 .212 .037 .002 .050 .000 .116 .412 .573 .410 .158 .029 .002 .066 .002 .071 .294 .416 .299 .120 .027 .006 1946 .000 5046 -.375 17.13246 .007610 .125579 .002352 Correlation Surface at 2046 5046 .061 .196 .108 .023 .000 .081 .012 .002 .118 .251 .067 .007 .042 .115 .058 .000 .242 .311 .023 .081 .077 .059 .113 .029 .058 .036 .089 .390 .105 .006 .126 .131 .003 .002 .321 1.000 .352 .011 .036 .119 .001 .001 .085 .745 .456 .022 .023 .098 .004 .058 .080 .503 .173 .000 .073 .140 .036 .080 .382 .673 .066 .006 .020 .002 .042 .013 .431 .565 .015 .054 .005 .073 r_peak,r_snr = 9.19937E-02 11.61164 Correlation Surface of oversamples image at 2046 5046 .237 .004 .065 .128 .131 .100 .012 .058 .182 .094 .027 .255 .334 .256 .167 .047 .014 .139 .029 .113 .530 .694 .558 .389 .187 .012 .041 .050 .088 .600 .952 .903 .724 .446 .123 .000 .187 .003 .372 .855 1.000 .912 .628 .240 .024 .400 .058 .104 .513 .759 .749 .541 .233 .037 .399 .153 .009 .238 .423 .411 .302 .147 .024 .154 .078 .006 .142 .214 .164 .120 .072 .010 .006 .000 .076 .187 .135 .049 .028 .023 .003 2046 -11.625 5046 9.313 11.61165 .023862 .057192 -.009088 At line = 5400 Reading in data.... Correlation Surface at 246 5446 .102 .070 .025 .070 .013 .072 .004 .003 .057 .097 .006 .006 .028 .014 .047 .159 .095 .076 .136 .252 .132 .077 .003 .087 .449 1.000 .290 .018 .000 .030 .262 .654 .273 .024 .065 .238 .023 .106 .184 .012 .001 .118 .003 .052 .073 .020 .258 .142 r_peak,r_snr = 7.52278E-02 9.39163 Correlation Surface of oversamples image at 246 5446 .350 .299 .169 .085 .046 .018 .008 .017 .018 .420 .335 .189 .110 .078 .035 .010 .008 .006 .442 .403 .300 .260 .243 .145 .046 .010 .000 .355 .434 .471 .584 .623 .401 .140 .020 .002 .207 .338 .516 .837 1.000 .678 .245 .038 .001 .087 .151 .308 .675 .962 .723 .290 .061 .001 .022 .021 .063 .273 .572 .525 .255 .071 .004 .003 .003 .002 .039 .242 .324 .202 .069 .003 .000 .024 .046 .000 .102 .231 .170 .056 .000 246 -14.031 5446 11.219 9.39163 .037027 .047502 -.000438 Correlation Surface at 346 5446 .043 .001 .051 .002 .115 .132 .478 .067 .002 .144 .010 .088 .046 .206 .089 .004 .033 .001 .162 .216 .219 .000 .001 .039 .140 .463 .485 .225 .080 .122 .015 .343 1.000 .386 .044 .027 .043 .006 .071 .742 .053 .030 .031 .225 .045 .018 .067 .079 .367 .044 .364 .174 .029 .073 .525 .893 .025 .032 .131 .012 .014 .351 .530 r_peak,r_snr = 7.13392E-02 9.09834 Correlation Surface of oversamples image at 346 5446 .097 .068 .432 1.916 4.000 3.893 1.808 .211 .096 .302 1.309 2.813 2.767 1.409 .359 .173 .263 .823 1.521 1.270 .573 .537 .378 .393 .642 .728 .317 .050 .664 .631 .622 .666 .422 .030 .044 346 14.719 5446 -8.875 9.09834 .043826 .118368 .019885 Correlation Surface at 446 5446 .200 .135 .196 .633 .734 .421 .384 .384 .260 .173 .114 .199 .558 .638 .313 .303 .383 .296 .144 .077 .229 .637 .797 .375 .286 .382 .397 .201 .078 .217 .649 .934 .449 .224 .292 .415 .371 .192 .255 .653 1.000 .551 .204 .253 .345 .325 .244 .271 .669 .978 .639 .301 .373 .431 .198 .222 .293 .627 .886 .625 .430 .472 .537 .175 .181 .360 .762 .911 .647 .474 .472 .579 .175 .090 .267 .711 .883 .728 .433 .372 .552 r_peak,r_snr = .1617456 3.13371 Correlation Surface of oversamples image at 446 5446 .117 .217 .376 .530 .547 .433 .310 .272 .337 .101 .209 .391 .588 .628 .484 .308 .230 .274 .090 .217 .438 .697 .782 .613 .362 .220 .215 .082 .223 .473 .791 .938 .767 .441 .222 .160 .082 .226 .474 .805 1.000 .860 .498 .217 .111 .097 .233 .457 .752 .955 .860 .508 .201 .078 .131 .256 .457 .708 .888 .816 .495 .192 .068 .172 .300 .504 .736 .881 .801 .495 .206 .086 .199 .347 .577 .814 .933 .823 .517 .245 .133 446 .063 5446 -2.875 3.13371 .031211 1.863651 -.132563 Correlation Surface at 546 5446 .094 .057 .163 .311 .376 .255 .332 .429 .441 .241 .123 .096 .158 .344 .352 .309 .350 .312 .285 .210 .184 .328 .564 .524 .349 .344 .233 .207 .178 .258 .652 .933 .642 .305 .291 .216 .203 .187 .252 .719 1.000 .568 .167 .135 .161 .244 .342 .365 .701 .862 .518 .152 .076 .126 .199 .383 .518 .638 .693 .552 .311 .110 .092 .169 .318 .533 .524 .473 .408 .362 .166 .052 .176 .233 .395 .423 .356 .260 .210 .126 .052 r_peak,r_snr = .1765789 4.0788 Correlation Surface of oversamples image at 546 5446 .166 .172 .191 .257 .350 .407 .398 .338 .280 .264 .297 .350 .449 .545 .557 .476 .354 .258 .335 .427 .549 .691 .778 .720 .550 .361 .231 .336 .496 .699 .887 .953 .823 .580 .350 .203 .299 .498 .748 .956 1.000 .827 .553 .317 .174 .285 .477 .716 .898 .921 .749 .486 .269 .146 .330 .493 .678 .800 .800 .656 .429 .238 .135 .434 .560 .676 .730 .711 .605 .424 .255 .161 .543 .637 .689 .688 .656 .591 .468 .328 .236 546 7.875 5446 -1.563 4.07880 .024413 .270524 .023427 Correlation Surface at 646 5446 .520 .355 .120 .089 .194 .365 .309 .228 .271 .258 .394 .029 .001 .273 .614 .383 .349 .524 .156 .268 .005 .002 .237 .675 .569 .387 .442 .223 .324 .071 .051 .585 .777 .579 .191 .116 .332 .465 .272 .294 1.000 .752 .216 .046 .061 .321 .478 .363 .400 .670 .436 .096 .064 .142 .204 .435 .345 .238 .241 .245 .372 .312 .286 .153 .360 .320 .112 .107 .161 .454 .521 .458 r_peak,r_snr = 9.06039E-02 5.07017 Correlation Surface of oversamples image at 646 5446 .039 .089 .231 .390 .424 .366 .298 .255 .233 .019 .095 .323 .570 .604 .484 .357 .290 .282 .008 .094 .399 .752 .815 .642 .432 .315 .303 .002 .076 .408 .842 .961 .774 .494 .303 .248 .001 .073 .410 .859 1.000 .834 .524 .259 .144 .008 .110 .464 .869 .956 .791 .488 .187 .048 .034 .189 .570 .896 .872 .655 .366 .100 .003 .076 .282 .666 .894 .747 .462 .198 .026 .007 .126 .350 .684 .813 .602 .298 .080 .000 .027 646 .938 5446 9.094 5.07017 .058927 .106651 .043122 Correlation Surface at 846 5446 .015 .041 .134 .379 .527 .380 .243 .076 .021 .028 .031 .071 .335 .663 .491 .274 .093 .020 .049 .027 .055 .328 .760 .515 .274 .117 .018 .043 .016 .058 .398 .896 .515 .253 .139 .025 .042 .008 .054 .460 1.000 .542 .223 .135 .030 .047 .010 .048 .396 .850 .559 .224 .113 .020 .052 .028 .074 .332 .681 .504 .189 .074 .013 .063 .046 .115 .348 .658 .448 .142 .055 .018 .049 .032 .131 .401 .653 .466 .174 .085 .038 r_peak,r_snr = .2996599 7.38237 Correlation Surface of oversamples image at 846 5446 .022 .081 .245 .504 .676 .613 .425 .282 .204 .023 .089 .270 .562 .755 .673 .449 .285 .204 .026 .102 .309 .639 .851 .740 .473 .286 .198 .026 .115 .347 .714 .948 .815 .503 .285 .186 .022 .115 .361 .743 1.000 .874 .536 .290 .176 .015 .101 .335 .701 .968 .883 .564 .305 .176 .012 .083 .282 .599 .853 .821 .560 .316 .178 .015 .075 .234 .493 .714 .713 .511 .298 .165 .027 .083 .214 .428 .617 .619 .447 .257 .135 846 .094 5446 .125 7.38237 .003910 .047157 -.000752 Correlation Surface at 946 5446 .136 .033 .026 .099 .204 .104 .049 .069 .040 .008 .000 .000 .088 .341 .086 .000 .004 .020 .013 .034 .045 .045 .607 .280 .001 .000 .016 .004 .057 .083 .071 .890 .355 .001 .000 .018 .000 .030 .083 .118 1.000 .262 .003 .003 .017 .003 .011 .042 .119 .854 .242 .005 .012 .017 .003 .004 .036 .066 .689 .279 .003 .031 .003 .000 .002 .037 .021 .543 .421 .012 .007 .001 .004 .000 .015 .033 .538 .564 .135 .041 .046 r_peak,r_snr = .1417019 13.79143 Correlation Surface of oversamples image at 946 5446 .055 .015 .016 .217 .512 .547 .314 .096 .010 .082 .024 .022 .304 .699 .726 .412 .135 .021 .091 .023 .039 .411 .874 .852 .447 .131 .019 .071 .012 .065 .501 .986 .912 .439 .105 .009 .041 .002 .094 .536 1.000 .908 .418 .084 .002 .025 .000 .111 .520 .949 .873 .405 .077 .000 .027 .000 .103 .468 .874 .835 .407 .080 .000 .043 .001 .075 .393 .781 .801 .428 .096 .000 .063 .008 .045 .314 .678 .762 .469 .135 .003 946 .188 5446 .250 13.79144 .006551 .284310 .012444 Correlation Surface at 1046 5446 .031 .026 .126 .066 .063 .019 .071 .063 .049 .047 .141 .216 .115 .017 .012 .003 .079 .109 .064 .276 .310 .016 .086 .015 .000 .082 .216 .007 .046 .093 .097 .774 .151 .014 .007 .008 .013 .042 .000 .114 1.000 .268 .036 .049 .009 .001 .068 .014 .002 .326 .107 .022 .001 .079 .112 .013 .010 .016 .120 .143 .008 .004 .221 .131 .155 .004 .000 .079 .208 .002 .018 .019 .030 .103 .005 .016 .026 .039 .012 .022 .000 r_peak,r_snr = 8.13424E-02 13.64272 Correlation Surface of oversamples image at 1046 5446 .474 .321 .106 .000 .048 .054 .022 .016 .039 .537 .288 .046 .024 .143 .129 .057 .036 .059 .357 .134 .000 .172 .406 .315 .112 .036 .033 .132 .022 .059 .445 .785 .567 .164 .016 .002 .020 .000 .132 .615 1.000 .711 .183 .003 .009 .000 .001 .093 .487 .844 .617 .150 .000 .023 .004 .001 .017 .221 .498 .396 .094 .000 .016 .005 .004 .000 .062 .240 .225 .058 .000 .005 .003 .001 .001 .024 .139 .164 .061 .004 .000 1046 .031 5446 -.469 13.64272 .017207 .062940 -.005768 Correlation Surface at 1146 5446 .129 .022 .014 .000 .350 .758 .351 .132 .170 .151 .076 .027 .011 .172 .553 .359 .191 .221 .015 .014 .007 .000 .135 .693 .630 .367 .217 .008 .001 .004 .191 .497 .617 .409 .221 .127 .000 .000 .014 .538 1.000 .306 .085 .110 .118 .035 .003 .048 .463 .721 .115 .012 .152 .093 .060 .000 .166 .525 .345 .047 .001 .066 .016 .002 .024 .392 .675 .262 .000 .028 .006 .028 .005 .080 .645 .554 .121 .053 .118 .000 .094 r_peak,r_snr = 8.54510E-02 7.42751 Correlation Surface of oversamples image at 1146 5446 .382 .163 .007 .079 .477 1.143 1.401 .930 .384 .116 .035 .006 .223 .914 1.850 2.059 1.321 .493 .001 .027 .205 .725 1.662 2.556 2.563 1.674 .677 .019 .213 .784 1.766 2.806 3.265 2.791 1.775 .806 1146 -1.719 5446 3.844 7.42751 .046525 .103543 .036777 Correlation Surface at 1246 5446 .284 .026 .105 .175 .015 .009 .026 .013 .013 .142 .000 .275 .316 .247 .028 .024 .051 .060 .000 .003 .135 .142 .316 .029 .093 .202 .112 .021 .005 .026 .079 .474 .065 .091 .227 .074 .010 .000 .006 .244 1.000 .174 .063 .155 .034 .001 .023 .002 .378 .870 .079 .069 .087 .002 .009 .140 .010 .103 .201 .020 .010 .027 .000 .028 .228 .081 .000 .000 .000 .003 .004 .005 .018 .090 .033 .002 .004 .037 .042 .000 .014 r_peak,r_snr = .1132812 19.18701 Correlation Surface of oversamples image at 1246 5446 .000 .001 .002 .034 .200 .380 .272 .059 .002 .002 .000 .005 .070 .305 .521 .390 .114 .002 .002 .001 .040 .212 .564 .750 .502 .141 .003 .001 .015 .136 .465 .893 .948 .532 .115 .000 .003 .022 .202 .613 1.000 .915 .447 .073 .005 .024 .005 .141 .470 .731 .626 .289 .045 .004 .083 .006 .039 .205 .340 .289 .142 .032 .000 .157 .053 .000 .035 .087 .080 .046 .020 .003 .192 .110 .030 .000 .007 .011 .008 .005 .001 1246 -.281 5446 .813 19.18702 .010316 .064167 .005805 Correlation Surface at 1346 5446 .139 .051 .000 .102 .466 .958 .552 .040 .005 .130 .238 .036 .114 .641 .774 .383 .039 .017 .054 .140 .003 .246 .656 .430 .188 .006 .000 .033 .039 .012 .438 .831 .338 .168 .031 .002 .076 .106 .000 .396 1.000 .394 .214 .154 .006 .108 .144 .002 .339 .834 .403 .232 .186 .066 .112 .091 .000 .387 .719 .319 .266 .178 .090 .145 .071 .011 .218 .688 .287 .238 .184 .034 .155 .071 .025 .043 .375 .228 .125 .111 .013 r_peak,r_snr = .1215859 5.11817 Correlation Surface of oversamples image at 1346 5446 .031 .141 .357 .599 .687 .615 .492 .343 .183 .097 .246 .488 .717 .750 .606 .445 .309 .180 .130 .294 .564 .822 .853 .659 .454 .326 .232 .096 .260 .553 .877 .955 .733 .478 .344 .292 .042 .189 .487 .861 1.000 .773 .477 .335 .318 .012 .134 .414 .781 .945 .740 .444 .308 .317 .002 .101 .358 .672 .808 .636 .389 .285 .310 .000 .080 .322 .597 .685 .529 .337 .272 .314 .000 .063 .300 .571 .632 .470 .305 .265 .323 1346 -.094 5446 -.031 5.11817 .016938 .231127 -.012488 Correlation Surface at 1446 5446 .001 .001 .004 .036 .009 .022 .006 .020 .006 .011 .016 .041 .017 .015 .013 .010 .000 .001 .035 .018 .000 .058 .012 .023 .096 .026 .001 .081 .043 .043 .598 .531 .000 .136 .101 .007 .024 .001 .093 .751 1.000 .206 .037 .001 .009 .024 .082 .215 .242 .348 .304 .365 .106 .016 .106 .098 .281 .026 .010 .155 .330 .116 .003 .222 .117 .248 .158 .042 .030 .053 .002 .010 .159 .171 .116 .381 .411 .012 .026 .098 .000 r_peak,r_snr = 8.06173E-02 10.68789 Correlation Surface of oversamples image at 1446 5446 .187 .303 .254 .127 .065 .060 .074 .129 .240 .093 .099 .026 .001 .011 .000 .056 .308 .723 .030 .004 .034 .191 .282 .139 .000 .258 .927 .009 .015 .186 .523 .760 .570 .135 .039 .544 .002 .057 .310 .691 1.000 .940 .487 .052 .073 .000 .094 .339 .602 .794 .849 .672 .310 .049 .008 .134 .299 .359 .360 .405 .482 .459 .323 .025 .151 .188 .102 .039 .048 .157 .360 .498 .026 .114 .068 .000 .034 .026 .009 .187 .447 1446 6.219 5446 -7.438 10.68789 .054636 .054375 -.028084 Correlation Surface at 1546 5446 .021 .012 .118 .004 .218 .081 .071 .246 .381 .033 .001 .015 .074 .380 .034 .015 .129 .285 .041 .011 .034 .025 .447 .140 .131 .199 .069 .038 .046 .086 .011 .795 .375 .243 .469 .031 .020 .084 .087 .051 1.000 .225 .041 .670 .085 .020 .180 .113 .121 .768 .009 .037 .327 .021 .046 .203 .138 .136 .619 .006 .033 .022 .066 .021 .100 .066 .055 .413 .076 .018 .002 .274 .007 .046 .002 .034 .201 .109 .045 .021 .260 r_peak,r_snr = 8.80472E-02 9.05371 Correlation Surface of oversamples image at 1546 5446 .232 .160 .005 .175 .638 .774 .519 .338 .376 .142 .064 .008 .317 .819 .880 .506 .253 .278 .108 .024 .047 .450 .915 .813 .337 .091 .107 .107 .009 .095 .562 .957 .694 .181 .010 .013 .112 .001 .165 .694 1.000 .603 .103 .001 .002 .109 .001 .246 .805 .991 .518 .074 .002 .012 .086 .006 .281 .798 .906 .446 .070 .000 .005 .052 .009 .237 .641 .745 .387 .077 .005 .000 .026 .006 .139 .393 .510 .304 .075 .012 .008 1546 -.125 5446 1.469 9.05371 .021174 .346640 .057898 Correlation Surface at 1646 5446 .083 .009 .008 .010 .181 .163 .050 .048 .002 .146 .033 .000 .002 .112 .125 .055 .023 .001 .011 .004 .001 .034 .215 .172 .101 .015 .001 .013 .005 .009 .188 .648 .280 .050 .000 .010 .002 .002 .011 .239 1.000 .300 .000 .033 .015 .006 .003 .005 .117 .646 .188 .018 .056 .009 .005 .018 .001 .124 .337 .057 .045 .092 .051 .002 .016 .022 .197 .344 .079 .015 .098 .123 .002 .005 .033 .253 .440 .216 .028 .013 .042 r_peak,r_snr = .1382007 16.99326 Correlation Surface of oversamples image at 1646 5446 .022 .005 .010 .101 .241 .306 .263 .176 .106 .023 .000 .064 .261 .431 .436 .333 .208 .111 .021 .004 .161 .509 .717 .609 .383 .195 .075 .016 .009 .232 .703 .963 .762 .402 .151 .030 .008 .009 .215 .694 1.000 .796 .379 .107 .008 .001 .006 .144 .520 .826 .696 .322 .077 .002 .000 .005 .084 .333 .578 .512 .232 .048 .001 .000 .005 .061 .228 .392 .334 .135 .020 .000 .001 .010 .071 .214 .321 .237 .074 .004 .005 1646 .031 5446 -.188 16.99327 .008271 .038825 .000046 Correlation Surface at 1746 5446 .016 .030 .126 .038 .050 .148 .014 .183 .094 .049 .289 .071 .017 .002 .091 .032 .124 .362 .022 .441 .126 .098 .208 .000 .000 .104 .765 .018 .036 .028 .517 .772 .149 .070 .008 .436 .007 .045 .252 .868 1.000 .411 .152 .013 .092 .099 .271 .155 .389 .379 .215 .119 .017 .005 .303 .353 .074 .013 .000 .000 .061 .041 .003 .034 .110 .075 .008 .133 .059 .023 .064 .001 .120 .000 .109 .180 .014 .005 .055 .080 .019 r_peak,r_snr = 7.58314E-02 9.36131 Correlation Surface of oversamples image at 1746 5446 .687 .385 .098 .001 .070 .042 .010 .091 .045 .219 .063 .000 .087 .301 .288 .051 .006 .009 .001 .041 .155 .350 .608 .606 .229 .014 .000 .062 .267 .518 .717 .855 .805 .407 .080 .010 .132 .363 .728 .982 1.000 .885 .554 .205 .065 .160 .266 .579 .895 .929 .824 .622 .344 .170 .194 .152 .283 .493 .556 .528 .486 .370 .247 .264 .126 .115 .139 .138 .149 .198 .221 .220 .291 .153 .073 .013 .000 .000 .010 .047 .111 1746 -10.250 5446 4.656 9.36131 .115589 .084689 -.017005 Correlation Surface at 1846 5446 .326 .018 .025 .014 .003 .031 .053 .000 .002 .062 .120 .026 .002 .003 .086 .238 .003 .000 .020 .124 .023 .002 .079 .114 .103 .009 .032 .039 .014 .070 .026 .657 .334 .059 .005 .021 .014 .010 .072 .073 1.000 .702 .222 .016 .018 .006 .035 .081 .104 .725 .502 .443 .175 .097 .006 .007 .043 .043 .234 .120 .254 .349 .253 .037 .003 .069 .057 .003 .004 .079 .211 .175 .035 .023 .511 .344 .010 .014 .061 .116 .002 r_peak,r_snr = 6.80729E-02 6.73703 Correlation Surface of oversamples image at 1846 5446 .731 .682 .558 .312 .048 .021 .076 .781 .722 .684 .544 .214 .011 .002 .683 .638 .716 .790 .549 .177 .054 .581 .540 .666 .921 .932 .551 .302 .501 .457 .538 .786 1.000 .870 .680 .432 .393 .380 .483 .699 .834 .915 .337 .336 .263 .227 .333 .545 .827 .224 .279 .206 .106 .113 .241 .492 .170 .257 .214 .094 .055 .096 .211 1846 2.563 5446 2.375 6.73703 .036275 .220500 .002545 Correlation Surface at 1946 5446 .023 .049 .086 .205 .333 .034 .019 .004 .001 .014 .010 .006 .158 .280 .001 .109 .006 .002 .000 .002 .009 .125 .401 .001 .264 .152 .133 .001 .000 .002 .291 .934 .097 .241 .454 .348 .005 .004 .012 .365 1.000 .130 .089 .230 .138 .006 .027 .025 .137 .608 .036 .064 .018 .007 .021 .049 .068 .031 .531 .081 .082 .036 .017 .013 .003 .000 .030 .334 .156 .001 .052 .051 .073 .034 .048 .127 .190 .057 .032 .000 .041 r_peak,r_snr = .1110855 13.47568 Correlation Surface of oversamples image at 1946 5446 .036 .090 .208 .330 .301 .114 .002 .029 .055 .008 .056 .203 .389 .387 .160 .004 .041 .110 .001 .045 .238 .525 .579 .291 .031 .025 .135 .002 .060 .304 .694 .835 .510 .112 .003 .123 .015 .096 .356 .786 1.000 .701 .218 .002 .095 .039 .121 .345 .727 .950 .699 .242 .008 .066 .032 .096 .265 .565 .737 .509 .157 .003 .043 .004 .038 .168 .415 .537 .322 .067 .000 .028 .004 .004 .096 .332 .453 .247 .033 .003 .017 1946 -.031 5446 -.844 13.47568 .011087 .136801 -.001859 Correlation Surface at 2046 5446 .001 .000 .005 .062 .245 .049 .040 .021 .000 .005 .020 .044 .163 .348 .291 .002 .040 .001 .205 .093 .020 .185 .453 .286 .007 .053 .007 .134 .100 .029 .353 .958 .421 .003 .022 .009 .123 .146 .140 .428 1.000 .648 .094 .011 .030 .227 .204 .123 .160 .279 .195 .091 .039 .015 .121 .163 .068 .089 .040 .009 .001 .010 .002 .026 .057 .073 .124 .011 .163 .148 .038 .071 .002 .001 .022 .159 .048 .066 .192 .165 .258 r_peak,r_snr = .1025459 12.60502 Correlation Surface of oversamples image at 2046 5446 .047 .127 .318 .553 .681 .626 .431 .203 .049 .013 .059 .230 .485 .630 .566 .372 .160 .025 .003 .036 .227 .559 .739 .621 .357 .121 .009 .006 .043 .275 .692 .930 .781 .432 .138 .012 .027 .071 .316 .747 1.000 .872 .523 .198 .042 .063 .090 .277 .603 .805 .738 .491 .226 .082 .081 .075 .170 .343 .466 .457 .330 .179 .092 .074 .051 .092 .161 .205 .204 .157 .106 .081 .061 .048 .079 .102 .088 .061 .039 .041 .064 2046 .063 5446 .375 12.60502 .039921 .047131 .000480 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .002 .024 .058 .262 .496 .279 .129 .158 .064 .014 .053 .065 .219 .389 .251 .091 .116 .062 .053 .119 .079 .213 .487 .412 .130 .028 .001 .007 .072 .092 .377 .966 .788 .189 .006 .004 .019 .020 .085 .445 1.000 .762 .240 .046 .008 .035 .004 .045 .216 .499 .357 .209 .140 .028 .016 .005 .076 .218 .417 .247 .138 .176 .020 .005 .033 .216 .545 .802 .382 .150 .133 .003 .004 .091 .349 .806 .970 .561 .305 .180 .001 r_peak,r_snr = .1556219 8.92295 Correlation Surface of oversamples image at 146 5846 .008 .029 .101 .241 .411 .490 .392 .256 .214 .010 .025 .086 .226 .400 .477 .375 .233 .189 .035 .064 .154 .338 .533 .573 .422 .250 .184 .104 .166 .316 .562 .775 .763 .533 .309 .208 .206 .317 .525 .793 1.000 .970 .693 .418 .272 146 .250 5846 .781 8.92295 .023274 .046676 .005469 Correlation Surface at 246 5846 .026 .017 .005 .032 .077 .053 .051 .020 .002 .130 .052 .001 .015 .034 .016 .008 .003 .000 .233 .049 .002 .054 .072 .023 .002 .097 .036 .197 .045 .010 .341 .475 .186 .000 .106 .065 .085 .026 .002 .459 1.000 .227 .032 .135 .040 .000 .000 .007 .186 .497 .048 .098 .155 .034 .041 .032 .001 .010 .023 .003 .011 .025 .019 .030 .078 .003 .006 .000 .016 .032 .000 .009 .008 .027 .013 .001 .046 .061 .045 .011 .045 r_peak,r_snr = .115557 13.31341 Correlation Surface of oversamples image at 246 5846 .009 .000 .019 .039 .037 .035 .032 .015 .000 .000 .027 .096 .147 .148 .139 .110 .046 .001 .005 .089 .264 .402 .418 .354 .225 .075 .002 .002 .115 .436 .736 .779 .582 .279 .055 .001 .003 .079 .487 .941 1.000 .658 .226 .012 .030 .027 .030 .394 .863 .902 .533 .132 .000 .084 .063 .002 .224 .552 .551 .301 .061 .006 .098 .083 .004 .076 .226 .208 .115 .030 .001 .047 .081 .028 .004 .041 .039 .032 .026 .006 .002 246 -10.188 5846 -5.875 13.31341 .014424 .025679 .000687 Correlation Surface at 346 5846 .000 .009 .075 .165 .053 .086 .000 .023 .033 .004 .040 .017 .204 .191 .228 .008 .057 .066 .002 .000 .003 .252 .755 .562 .063 .008 .022 .016 .014 .025 .150 1.000 .552 .109 .044 .028 .003 .002 .005 .000 .166 .094 .070 .123 .052 .001 .010 .032 .032 .043 .017 .061 .080 .001 .050 .003 .065 .273 .175 .055 .056 .010 .024 .070 .000 .046 .085 .033 .041 .040 .004 .005 r_peak,r_snr = 9.43068E-02 13.61947 Correlation Surface of oversamples image at 346 5846 .103 .127 .100 .083 .130 .198 .123 .005 .039 .078 .162 .198 .199 .252 .329 .237 .037 .021 .075 .237 .401 .478 .542 .578 .420 .122 .000 .070 .300 .614 .811 .888 .844 .600 .234 .018 .035 .249 .635 .922 1.000 .889 .616 .280 .062 .001 .085 .369 .644 .720 .619 .428 .221 .086 .021 .000 .073 .225 .300 .277 .215 .139 .084 .041 .042 .002 .017 .053 .076 .094 .100 .087 .004 .026 .016 .001 .002 .016 .057 .108 .115 346 -8.531 5846 -12.594 13.61947 .020275 .028040 -.000898 Correlation Surface at 446 5846 .046 .004 .025 .095 .057 .004 .166 .552 .330 .107 .058 .001 .090 .056 .004 .095 .306 .199 .120 .177 .026 .139 .299 .004 .031 .007 .000 .045 .264 .211 .093 .812 .165 .002 .026 .054 .005 .150 .245 .040 1.000 .364 .022 .002 .013 .188 .000 .025 .056 .556 .180 .008 .001 .002 .179 .055 .024 .123 .200 .020 .016 .026 .008 .007 .014 .096 .317 .112 .007 .007 .087 .008 .001 .000 .079 .423 .142 .032 .001 .098 .062 r_peak,r_snr = .1052961 12.2684 Correlation Surface of oversamples image at 446 5846 .172 .010 .154 .677 .853 1.029 .407 .000 .376 .783 2.559 1.487 .238 .040 .329 3.895 2.760 .944 .089 .010 4.000 3.318 1.678 .524 .124 2.772 2.665 1.767 .885 .443 1.281 1.383 1.118 .799 .633 .379 .412 .376 .417 .565 .136 .101 .086 .197 .512 446 -3.844 5846 2.313 12.26840 .009647 .082569 -.001839 Correlation Surface at 546 5846 .192 .118 .152 .377 .590 .444 .339 .326 .289 .137 .113 .160 .431 .753 .640 .423 .424 .390 .166 .159 .168 .427 .781 .704 .500 .464 .462 .169 .155 .131 .361 .831 .695 .479 .341 .299 .137 .131 .163 .471 1.000 .733 .505 .315 .194 .131 .132 .227 .579 .954 .622 .455 .313 .180 .155 .148 .265 .517 .643 .465 .377 .248 .121 .224 .222 .386 .542 .500 .457 .432 .305 .109 .228 .289 .466 .576 .525 .500 .432 .394 .168 r_peak,r_snr = .2482258 5.53936 Correlation Surface of oversamples image at 546 5846 .196 .268 .432 .636 .767 .786 .718 .601 .483 .205 .274 .447 .674 .819 .819 .724 .592 .461 .224 .311 .508 .760 .902 .863 .735 .599 .471 .250 .371 .602 .863 .975 .879 .724 .605 .500 .274 .425 .677 .931 1.000 .860 .694 .599 .526 .289 .445 .687 .907 .945 .800 .649 .576 .524 .304 .440 .641 .811 .834 .720 .603 .548 .503 .339 .446 .591 .707 .726 .656 .575 .532 .491 .401 .483 .572 .639 .653 .620 .571 .534 .495 546 -.094 5846 .469 5.53936 .010630 .115484 .015547 Correlation Surface at 646 5846 .054 .011 .065 .302 .310 .047 .009 .000 .004 .063 .033 .081 .379 .149 .001 .005 .000 .006 .003 .000 .038 .326 .256 .004 .008 .000 .002 .032 .030 .057 .381 .966 .198 .006 .005 .061 .115 .102 .184 .429 1.000 .461 .052 .024 .126 .055 .113 .133 .291 .362 .196 .034 .018 .006 .050 .106 .081 .256 .193 .123 .039 .001 .003 .123 .211 .198 .321 .283 .278 .234 .042 .001 .063 .238 .356 .323 .177 .213 .558 .316 .003 r_peak,r_snr = .1034835 13.62791 Correlation Surface of oversamples image at 646 5846 .109 .265 .387 .315 .119 .010 .001 .001 .002 .092 .226 .398 .418 .235 .054 .001 .001 .000 .084 .193 .414 .593 .493 .209 .036 .002 .000 .103 .191 .430 .758 .827 .495 .149 .023 .003 .151 .213 .421 .790 1.000 .728 .287 .064 .008 .202 .233 .368 .655 .873 .705 .323 .091 .013 .210 .222 .290 .448 .574 .481 .243 .081 .013 .157 .172 .212 .275 .308 .251 .137 .051 .006 .102 .128 .166 .186 .172 .130 .079 .032 .003 646 -.031 5846 .531 13.62791 .027125 .063552 -.002715 Correlation Surface at 746 5846 .005 .028 .023 .117 .224 .228 .032 .081 .303 .085 .000 .000 .178 .334 .309 .037 .208 .420 .095 .022 .005 .027 .026 .018 .209 .706 .589 .000 .006 .005 .068 .263 .443 .464 .518 .256 .010 .000 .000 .264 1.000 .665 .266 .143 .079 .005 .002 .087 .446 .721 .304 .101 .050 .184 .014 .034 .252 .501 .156 .023 .021 .016 .297 r_peak,r_snr = 7.19041E-02 7.62116 Correlation Surface of oversamples image at 746 5846 .001 .043 .106 .064 .007 .000 .013 .065 .166 .001 .000 .001 .006 .062 .097 .099 .129 .189 .005 .036 .078 .183 .336 .327 .213 .155 .153 .014 .121 .299 .535 .723 .585 .308 .153 .107 .039 .230 .548 .862 1.000 .738 .352 .145 .079 .092 .341 .693 .929 .937 .656 .311 .123 .059 .158 .411 .663 .707 .581 .382 .190 .075 .030 .207 .424 .523 .404 .229 .127 .073 .031 .008 .214 .369 .356 .189 .054 .016 .018 .014 .003 746 -.625 5846 12.219 7.62116 .060868 .066606 .022563 Correlation Surface at 846 5846 .051 .102 .235 .327 .382 .408 .295 .041 .034 .016 .087 .328 .525 .445 .371 .328 .112 .036 .000 .070 .298 .592 .622 .367 .184 .137 .135 .000 .054 .239 .569 .874 .422 .095 .069 .193 .006 .052 .217 .587 1.000 .635 .208 .096 .195 .045 .063 .228 .571 .822 .566 .246 .111 .150 .060 .076 .282 .686 .744 .351 .132 .060 .055 .046 .056 .313 .746 .638 .298 .085 .098 .103 .038 .035 .275 .598 .446 .254 .082 .153 .187 r_peak,r_snr = .162488 8.89136 Correlation Surface of oversamples image at 846 5846 .676 .912 .956 .785 .515 .285 .179 .148 .161 .599 .847 .951 .819 .552 .306 .174 .117 .114 .509 .761 .934 .893 .684 .441 .272 .167 .124 .454 .700 .906 .969 .876 .685 .490 .317 .209 .445 .669 .864 .984 1.000 .888 .705 .494 .337 .467 .661 .814 .920 .949 .869 .717 .536 .399 .481 .663 .776 .816 .771 .652 .516 .391 .313 .467 .663 .757 .737 .607 .434 .294 .206 .167 .450 .663 .759 .722 .546 .332 .182 .109 .089 846 .344 5846 1.063 8.89136 .023552 .148655 -.011398 Correlation Surface at 946 5846 .003 .000 .000 .067 .158 .071 .027 .049 .072 .001 .000 .003 .111 .151 .022 .003 .011 .043 .004 .012 .000 .155 .291 .041 .000 .000 .012 .000 .035 .006 .179 .684 .203 .005 .000 .025 .010 .013 .001 .235 1.000 .343 .009 .011 .044 .020 .001 .004 .258 .808 .289 .010 .026 .062 .033 .003 .003 .251 .600 .186 .009 .039 .087 .042 .001 .002 .289 .634 .187 .028 .053 .060 .037 .002 .008 .225 .570 .283 .071 .068 .051 r_peak,r_snr = .1741143 15.70888 Correlation Surface of oversamples image at 946 5846 .001 .024 .140 .281 .309 .195 .070 .016 .004 .006 .021 .172 .400 .483 .320 .112 .019 .001 .011 .018 .200 .534 .716 .517 .191 .031 .001 .011 .017 .220 .638 .918 .705 .275 .047 .002 .006 .022 .233 .677 1.000 .797 .322 .056 .003 .001 .032 .241 .651 .952 .774 .321 .058 .004 .000 .044 .246 .597 .834 .679 .292 .061 .008 .003 .057 .253 .549 .713 .566 .254 .065 .017 .004 .066 .265 .518 .611 .455 .210 .067 .029 946 .063 5846 .063 15.70889 .005674 .044951 -.000044 Correlation Surface at 1046 5846 .031 .010 .049 .016 .002 .025 .015 .000 .001 .142 .028 .001 .072 .131 .266 .208 .019 .000 .096 .069 .013 .063 .376 .438 .264 .048 .000 .079 .094 .017 .118 .704 .382 .031 .005 .003 .092 .159 .028 .171 1.000 .501 .000 .005 .006 .026 .138 .039 .129 .915 .492 .007 .004 .016 .008 .111 .016 .178 .811 .330 .000 .007 .034 .009 .031 .002 .238 .550 .236 .001 .035 .064 .014 .000 .018 .148 .283 .223 .008 .029 .063 r_peak,r_snr = .1168073 15.05263 Correlation Surface of oversamples image at 1046 5846 .000 .045 .185 .363 .459 .436 .311 .173 .089 .002 .028 .188 .456 .617 .533 .274 .077 .017 .005 .026 .214 .574 .810 .662 .259 .024 .003 .009 .025 .229 .645 .958 .781 .272 .008 .034 .019 .016 .199 .615 1.000 .863 .317 .011 .044 .050 .002 .130 .515 .947 .879 .363 .029 .022 .116 .007 .068 .422 .864 .833 .367 .044 .007 .198 .033 .038 .381 .822 .791 .341 .039 .007 .210 .033 .048 .415 .853 .807 .335 .030 .014 1046 .156 5846 -.844 15.05263 .013330 .185487 -.004338 Correlation Surface at 1146 5846 .071 .082 .002 .208 .519 .132 .011 .083 .295 .221 .095 .003 .088 .180 .026 .066 .183 .310 .226 .032 .002 .095 .179 .006 .071 .139 .190 .129 .003 .036 .243 .668 .103 .010 .004 .002 .167 .015 .064 .413 1.000 .139 .000 .039 .062 .209 .025 .034 .246 .698 .090 .000 .029 .031 .134 .018 .008 .049 .355 .128 .000 .001 .000 .068 .009 .006 .009 .178 .156 .000 .029 .006 .113 .005 .012 .015 .151 .133 .002 .003 .002 r_peak,r_snr = .1112343 13.35418 Correlation Surface of oversamples image at 1146 5846 .071 .083 .129 .190 .156 .045 .001 .027 .024 .121 .145 .241 .394 .386 .174 .015 .004 .002 .139 .205 .370 .633 .681 .373 .072 .001 .002 .114 .225 .451 .802 .913 .558 .147 .015 .013 .080 .200 .445 .832 1.000 .665 .215 .037 .024 .059 .149 .355 .710 .921 .679 .267 .066 .034 .052 .093 .220 .493 .727 .621 .298 .091 .034 .046 .045 .097 .273 .502 .521 .294 .090 .017 .030 .014 .025 .120 .315 .402 .249 .063 .001 1146 -.094 5846 -.531 13.35419 .011994 .075868 .000574 Correlation Surface at 1246 5846 .092 .088 .018 .010 .061 .050 .021 .004 .025 .092 .143 .062 .002 .043 .020 .010 .008 .016 .149 .241 .097 .016 .115 .030 .008 .003 .001 .174 .304 .091 .114 .551 .162 .007 .001 .000 .113 .314 .073 .206 1.000 .324 .002 .012 .000 .063 .286 .061 .158 .749 .306 .001 .016 .000 .055 .182 .035 .095 .425 .250 .004 .013 .000 .070 .118 .003 .115 .293 .189 .008 .014 .002 .063 .092 .000 .134 .241 .154 .034 .004 .013 r_peak,r_snr = .1918218 19.31833 Correlation Surface of oversamples image at 1246 5846 .102 .010 .017 .078 .085 .036 .005 .000 .001 .123 .010 .033 .150 .187 .099 .020 .001 .000 .153 .012 .054 .262 .360 .217 .054 .004 .000 .125 .002 .125 .491 .688 .463 .149 .022 .001 .065 .005 .224 .710 1.000 .726 .272 .052 .005 .076 .001 .153 .533 .796 .611 .221 .025 .001 .071 .000 .090 .342 .551 .465 .185 .019 .004 .033 .002 .077 .253 .425 .403 .195 .033 .001 .012 .006 .065 .186 .318 .329 .182 .039 .000 1246 .000 5846 .031 19.31834 .004394 .019355 -.000583 Correlation Surface at 1346 5846 .004 .031 .117 .305 .554 .414 .244 .136 .023 .001 .019 .122 .357 .662 .372 .202 .206 .100 .026 .044 .133 .461 .827 .292 .080 .134 .126 .025 .087 .217 .592 .938 .274 .019 .034 .035 .009 .099 .356 .698 1.000 .386 .035 .035 .043 .001 .092 .386 .589 .778 .477 .112 .088 .090 .001 .070 .308 .402 .515 .452 .170 .156 .119 .016 .008 .134 .276 .488 .482 .225 .211 .233 .025 .007 .031 .148 .525 .625 .296 .206 .313 r_peak,r_snr = .1710704 9.33661 Correlation Surface of oversamples image at 1346 5846 1.898 2.068 2.556 3.000 2.781 1.935 1.142 .792 .706 1.711 1.966 2.482 3.052 3.065 2.312 1.441 1.031 .946 1.207 1.690 2.435 3.207 3.348 2.578 1.589 1.114 1.065 .683 1.320 2.369 3.463 3.721 2.830 1.654 1.089 1.070 1346 .875 5846 4.813 9.33661 .015422 .151143 -.014567 Correlation Surface at 1446 5846 .000 .230 .012 .539 .442 .059 .058 .006 .173 .000 .105 .003 .538 .310 .032 .064 .008 .170 .009 .067 .008 .474 .380 .083 .168 .004 .111 .002 .020 .002 .766 .776 .135 .079 .007 .037 .008 .015 .003 .853 1.000 .167 .013 .005 .000 .103 .003 .000 .470 .580 .109 .004 .004 .005 .108 .000 .002 .387 .352 .024 .090 .070 .009 .002 .069 .005 .315 .395 .028 .090 .071 .041 .072 .284 .080 .125 .281 .079 .002 .008 .006 r_peak,r_snr = 9.73940E-02 7.40496 Correlation Surface of oversamples image at 1446 5846 .130 .019 .067 .325 .363 .161 .045 .044 .105 .092 .014 .066 .337 .392 .177 .047 .043 .111 .051 .004 .099 .446 .557 .296 .090 .051 .095 .017 .001 .169 .638 .823 .498 .166 .061 .063 .004 .007 .221 .763 1.000 .644 .226 .062 .033 .001 .009 .202 .686 .917 .616 .227 .055 .015 .000 .006 .140 .488 .658 .462 .184 .045 .007 .000 .003 .087 .312 .413 .295 .125 .030 .002 .000 .001 .062 .221 .280 .188 .071 .009 .001 1446 .438 5846 3.594 7.40496 .030834 .096097 -.007946 Correlation Surface at 1546 5846 .001 .058 .176 .189 .283 .263 .109 .184 .287 .003 .000 .022 .158 .465 .381 .114 .097 .149 .000 .001 .000 .128 .649 .473 .101 .017 .013 .004 .005 .025 .284 .969 .474 .115 .015 .006 .008 .017 .054 .366 1.000 .341 .074 .078 .001 .032 .035 .042 .294 .822 .233 .014 .044 .023 .017 .068 .038 .233 .762 .326 .017 .007 .014 .001 .089 .049 .158 .512 .413 .102 .027 .002 .003 .070 .048 .107 .284 .366 .215 .082 .001 r_peak,r_snr = .1409133 14.21462 Correlation Surface of oversamples image at 1546 5846 .000 .039 .165 .352 .509 .511 .344 .153 .054 .000 .034 .181 .435 .651 .634 .405 .169 .051 .003 .058 .246 .560 .801 .738 .457 .205 .076 .019 .101 .339 .698 .932 .813 .496 .253 .133 .036 .134 .403 .787 1.000 .838 .500 .270 .178 .044 .140 .409 .793 .995 .816 .465 .238 .162 .042 .127 .376 .743 .952 .782 .429 .193 .111 .031 .097 .316 .667 .895 .762 .424 .173 .072 .021 .062 .240 .567 .819 .756 .460 .193 .063 1546 .031 5846 -.281 14.21462 .012957 .438255 .032564 Correlation Surface at 1646 5846 .011 .028 .037 .013 .020 .024 .162 .205 .395 .199 .012 .196 .200 .000 .000 .042 .220 .525 .047 .027 .245 .362 .008 .006 .082 .271 .275 .091 .154 .290 .649 .331 .059 .046 .297 .107 .072 .115 .263 .830 1.000 .673 .066 .122 .100 .001 .000 .014 .148 .437 .834 .264 .161 .354 .004 .000 .000 .008 .014 .249 .055 .544 .683 .029 .011 .041 .000 .007 .003 .000 .531 .475 .003 .001 .007 .003 .007 .044 .036 .249 .184 r_peak,r_snr = 7.70165E-02 6.04433 Correlation Surface of oversamples image at 1646 5846 .592 .752 .688 .328 .048 .001 .002 .000 .068 .521 .705 .751 .512 .180 .035 .006 .005 .129 .422 .635 .822 .820 .546 .243 .069 .000 .111 .298 .501 .750 .988 .955 .631 .262 .028 .032 .140 .276 .466 .775 1.000 .886 .521 .153 .003 .019 .066 .145 .353 .660 .826 .699 .362 .091 .008 .000 .003 .067 .286 .583 .714 .526 .212 .037 .034 .027 .000 .083 .336 .591 .543 .244 .008 .022 .047 .014 .013 .155 .388 .422 .179 1646 -11.125 5846 -1.281 6.04433 .709046 .162536 -.301310 Correlation Surface at 1746 5846 .008 .075 .166 .048 .005 .017 .033 .069 .034 .038 .044 .182 .244 .003 .147 .041 .071 .172 .030 .001 .062 .269 .014 .385 .102 .025 .372 .027 .000 .006 .002 .307 .493 .019 .055 .014 .012 .080 .079 .118 1.000 .409 .019 .196 .068 r_peak,r_snr = 6.50471E-02 8.10058 Correlation Surface of oversamples image at 1746 5846 .044 .001 .022 .022 .001 .050 .089 .079 .062 .033 .033 .017 .033 .115 .167 .094 .026 .008 .000 .035 .114 .260 .448 .388 .116 .003 .004 .099 .000 .118 .485 .826 .629 .147 .000 .027 .384 .096 .029 .480 1.000 .784 .187 .000 .046 .722 .355 .008 .275 .832 .726 .199 .000 .058 .984 .637 .107 .079 .481 .490 .158 .000 .058 1.102 .779 .220 .005 .212 .259 .097 .002 .036 .991 .700 .241 .002 .085 .132 .064 .008 .004 1746 2.125 5846 13.031 8.10058 .031467 .088816 .004333 Correlation Surface at 1846 5846 .114 .019 .002 .017 .276 .201 .071 .006 .001 .045 .002 .014 .061 .397 .235 .017 .002 .019 .030 .019 .000 .118 .490 .254 .019 .006 .034 .016 .032 .005 .249 .855 .401 .049 .012 .049 .001 .043 .017 .268 1.000 .507 .045 .006 .045 .004 .004 .003 .108 .711 .613 .117 .003 .008 .026 .054 .101 .048 .412 .539 .183 .007 .000 .145 .054 .161 .016 .129 .271 .052 .000 .000 .168 .003 .004 .004 .010 .101 .002 .006 .004 r_peak,r_snr = .1204119 13.91974 Correlation Surface of oversamples image at 1846 5846 .137 .001 .230 .594 .668 .431 .187 .069 .036 .173 .001 .297 .733 .794 .528 .263 .116 .057 .139 .009 .378 .848 .899 .639 .373 .184 .078 .070 .025 .410 .881 .973 .769 .523 .295 .123 .009 .046 .374 .817 1.000 .897 .697 .459 .230 .014 .076 .300 .669 .935 .950 .804 .592 .363 .122 .131 .236 .487 .770 .873 .779 .616 .455 .297 .207 .196 .319 .531 .659 .624 .528 .456 .356 .212 .122 .135 .227 .322 .343 .311 .291 1846 -.031 5846 1.875 13.91975 .018000 .147626 -.019190 Correlation Surface at 1946 5846 .111 .151 .044 .073 .825 .502 .079 .020 .013 .025 .021 .000 .085 .634 .237 .004 .001 .002 .000 .001 .010 .111 .735 .238 .001 .001 .026 .018 .014 .013 .203 .981 .458 .027 .018 .066 .034 .021 .002 .232 1.000 .569 .134 .074 .103 .037 .038 .009 .239 .909 .490 .092 .042 .083 .017 .024 .052 .151 .532 .326 .002 .004 .005 .004 .011 .000 .006 .196 .244 .007 .016 .000 .002 .211 .080 .000 .105 .258 .005 .008 .027 r_peak,r_snr = .1202985 10.21766 Correlation Surface of oversamples image at 1946 5846 .018 .070 .264 .479 .382 .125 .009 .002 .004 .028 .095 .344 .637 .539 .192 .015 .003 .007 .038 .136 .461 .849 .775 .334 .049 .000 .002 .042 .174 .555 .999 .970 .503 .126 .012 .002 .028 .165 .554 .990 1.000 .601 .220 .059 .028 .007 .114 .460 .852 .881 .572 .264 .116 .077 .002 .083 .376 .720 .753 .497 .251 .139 .106 .008 .086 .333 .629 .661 .431 .210 .109 .076 .031 .096 .277 .511 .556 .363 .149 .048 .018 1946 .250 5846 2.250 10.21766 .015936 2.147719 .012155 Correlation Surface at 2046 5846 .093 .015 .039 .032 .286 .363 .282 .094 .046 .008 .000 .000 .004 .133 .308 .316 .224 .005 .006 .077 .006 .013 .088 .129 .074 .066 .000 .027 .119 .004 .444 .498 .146 .007 .001 .008 .000 .046 .000 .471 1.000 .212 .008 .000 .013 .071 .002 .079 .061 .874 .327 .049 .041 .038 .005 .001 .011 .059 .616 .363 .084 .093 .058 .064 .042 .000 .218 .394 .278 .116 .067 .023 .103 .117 .017 .195 .605 .385 .092 .026 .005 r_peak,r_snr = 9.74183E-02 10.53518 Correlation Surface of oversamples image at 2046 5846 .154 .517 .729 .646 .437 .222 .056 .002 .071 .097 .451 .781 .791 .581 .334 .127 .008 .024 .028 .287 .682 .846 .730 .490 .252 .070 .002 .004 .178 .593 .892 .891 .673 .395 .171 .051 .006 .163 .570 .928 1.000 .796 .472 .216 .086 .044 .226 .570 .861 .936 .768 .445 .186 .069 .145 .340 .550 .669 .697 .603 .369 .155 .051 .219 .428 .513 .463 .425 .390 .269 .125 .039 .225 .487 .561 .427 .334 .302 .227 .110 .031 2046 .375 5846 .625 10.53518 .025620 .111818 -.026578 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .3272769 15.49781 146 -.031 3046 -.094 15.49782 .002070 .006313 -.000558 r_peak,r_snr = .3398369 62.36198 246 .031 3046 -.094 62.36199 .001521 .003002 -.000100 r_peak,r_snr = .1638295 43.58383 346 .031 3046 .063 43.58384 .004773 .010572 .000614 r_peak,r_snr = .1676062 39.11739 446 .000 3046 .313 39.11740 .006706 .011077 -.000507 r_peak,r_snr = .404231 8.96329 546 .125 3046 .031 8.96329 .002026 .005718 -.000375 r_peak,r_snr = .3154976 7.23848 646 -.125 3046 .000 7.23848 .003681 .005375 -.001167 r_peak,r_snr = .4600301 14.4238 746 .063 3046 .219 14.42381 .001519 .012077 -.000638 r_peak,r_snr = .3017397 87.05671 846 -.094 3046 -.219 87.05672 .001930 .003086 -.000285 r_peak,r_snr = .3403688 72.71231 946 .063 3046 -.031 72.71232 .001296 .002965 -.000214 r_peak,r_snr = .350486 63.65738 1046 -.094 3046 .031 63.65739 .001149 .002919 .000038 r_peak,r_snr = .2807598 64.40113 1146 -.125 3046 -.063 64.40113 .002397 .003576 -.000301 r_peak,r_snr = .1645738 44.48194 1246 -.063 3046 -.094 44.48195 .003879 .010128 -.000704 r_peak,r_snr = .2284882 17.41642 1346 .031 3046 .188 17.41643 .004792 .027470 -.002351 r_peak,r_snr = .3641049 48.20365 1446 .125 3046 -.031 48.20366 .001234 .003883 -.000132 r_peak,r_snr = .3331241 42.58454 1546 .000 3046 -.219 42.58454 .001517 .004067 .000023 r_peak,r_snr = .2235516 44.54235 1646 .000 3046 -.063 44.54235 .003367 .010529 -.000306 r_peak,r_snr = .2579928 25.47876 1746 .094 3046 .094 25.47876 .003274 .006996 -.000675 r_peak,r_snr = .3583972 6.21321 1846 -.031 3046 -.313 6.21321 .003195 .013585 -.000310 r_peak,r_snr = .2741339 47.78101 1946 -.031 3046 -.094 47.78102 .002107 .009236 .000273 r_peak,r_snr = .2072452 32.53335 2046 -.125 3046 .344 32.53336 .003483 .013149 .000169 At line = 3400 Reading in data.... r_peak,r_snr = .3668213 26.81192 146 .063 3446 -.094 26.81192 .001808 .003758 -.000314 r_peak,r_snr = .3306521 39.65884 246 -.063 3446 -.125 39.65885 .001988 .003727 -.000155 r_peak,r_snr = .3086133 72.16721 346 .063 3446 .031 72.16721 .001508 .003173 -.000225 r_peak,r_snr = .2877041 27.26684 446 .000 3446 -.063 27.26685 .002437 .005288 -.000140 r_peak,r_snr = .2931917 11.43938 546 .156 3446 -.031 11.43938 .002879 .009201 .000032 r_peak,r_snr = .2774762 61.12048 646 .000 3446 .063 61.12049 .002691 .004227 -.000312 r_peak,r_snr = .5053359 12.10234 746 .000 3446 .219 12.10235 .001307 .004626 -.000262 r_peak,r_snr = .3578974 119.6064 846 .125 3446 -.031 119.60645 .001096 .002292 -.000077 r_peak,r_snr = .3144356 84.09513 946 .031 3446 -.188 84.09514 .001425 .003580 -.000152 r_peak,r_snr = .3578845 37.16897 1046 -.063 3446 .031 37.16897 .001520 .003220 -.000220 r_peak,r_snr = .2588122 60.81781 1146 -.031 3446 .063 60.81782 .002347 .004343 -.000530 r_peak,r_snr = .3478789 84.88925 1246 .094 3446 -.031 84.88925 .001137 .003076 -.000049 r_peak,r_snr = .2452315 40.99816 1346 .000 3446 -.063 40.99817 .002883 .006545 -.000415 r_peak,r_snr = .3146391 74.51416 1446 .000 3446 .000 74.51417 .001610 .003219 -.000034 r_peak,r_snr = .2303646 65.50017 1546 .000 3446 -.188 65.50018 .002868 .006227 -.000475 r_peak,r_snr = .2377155 33.60905 1646 -.031 3446 -.344 33.60906 .002680 .020618 .000312 r_peak,r_snr = .1938165 48.9985 1746 .000 3446 -.188 48.99850 .004034 .008252 -.000607 r_peak,r_snr = .1448328 23.45692 1846 .031 3446 .500 23.45692 .008783 .041116 -.006398 r_peak,r_snr = .2437632 36.44708 1946 -.031 3446 .281 36.44709 .002689 .011983 -.000359 r_peak,r_snr = .2843721 40.62844 2046 .063 3446 -.313 40.62844 .002358 .007487 -.000386 At line = 3800 Reading in data.... r_peak,r_snr = .3797281 58.74233 146 -.031 3846 .031 58.74234 .001207 .002444 -.000116 r_peak,r_snr = .2984102 77.70405 246 -.125 3846 -.063 77.70406 .001898 .003890 -.000182 r_peak,r_snr = .2482054 88.41154 346 .000 3846 -.031 88.41154 .002061 .004580 -.000280 r_peak,r_snr = .2634074 69.95064 446 .094 3846 .000 69.95065 .002546 .004555 -.000236 r_peak,r_snr = .4354657 4.28504 546 .000 3846 -.094 4.28504 .001795 .003606 .000115 r_peak,r_snr = .2421348 4.66551 646 .375 3846 -.094 4.66551 .012301 .037331 -.008892 r_peak,r_snr = .4801922 14.66223 746 .000 3846 .094 14.66224 .001068 .002149 -.000104 r_peak,r_snr = .425663 89.39821 846 -.031 3846 -.063 89.39822 .000881 .001844 -.000121 r_peak,r_snr = .3493414 90.6199 946 .031 3846 .000 90.61990 .001407 .003881 -.000110 r_peak,r_snr = .3578065 71.03672 1046 .000 3846 .000 71.03673 .001438 .002667 -.000075 r_peak,r_snr = .2455988 59.5305 1146 .031 3846 -.125 59.53051 .002844 .005881 -.000419 r_peak,r_snr = .2566435 49.9892 1246 .000 3846 .125 49.98921 .002123 .005389 .000046 r_peak,r_snr = .2351736 36.76835 1346 -.156 3846 .156 36.76835 .002658 .008525 -.000065 r_peak,r_snr = .224309 50.22026 1446 -.031 3846 -.125 50.22026 .002471 .007754 -.000512 r_peak,r_snr = .2592454 44.712 1546 -.094 3846 -.188 44.71201 .002621 .007105 -.000443 r_peak,r_snr = .1607616 39.57584 1646 .125 3846 .000 39.57585 .005788 .011087 -.000128 r_peak,r_snr = .1864448 38.93272 1746 -.031 3846 -.281 38.93272 .004301 .012080 -.000849 r_peak,r_snr = .1871857 28.99096 1846 .000 3846 -.094 28.99096 .004962 .013444 -.000421 r_peak,r_snr = .2033129 37.68713 1946 .219 3846 -.281 37.68714 .004166 .013822 -.000610 r_peak,r_snr = .2347848 32.04369 2046 .031 3846 .094 32.04370 .002435 .014840 -.000203 At line = 4200 Reading in data.... r_peak,r_snr = .3739761 75.4662 146 -.031 4246 -.219 75.46620 .001132 .002899 -.000267 r_peak,r_snr = .3206909 48.02913 246 -.031 4246 .063 48.02913 .001705 .003359 -.000311 r_peak,r_snr = .3126797 42.53496 346 .031 4246 .094 42.53496 .001871 .004768 -.000134 r_peak,r_snr = .3181217 65.05297 446 -.094 4246 .125 65.05298 .001886 .003793 -.000138 r_peak,r_snr = .4188189 11.56116 546 -.063 4246 .094 11.56116 .001533 .003007 .000061 r_peak,r_snr = .2381341 4.90268 646 .063 4246 .063 4.90268 .005944 .012419 .000612 r_peak,r_snr = .2365463 90.6837 746 -.031 4246 .094 90.68370 .002364 .003592 -.000211 r_peak,r_snr = .4645988 47.68704 846 .000 4246 .000 47.68705 .000804 .002105 -.000153 r_peak,r_snr = .3147854 93.24868 946 .000 4246 -.094 93.24868 .001494 .003110 -.000173 r_peak,r_snr = .3123618 79.77807 1046 .000 4246 .063 79.77808 .001511 .003047 -.000019 r_peak,r_snr = .2912246 60.52653 1146 .031 4246 .031 60.52654 .001898 .003770 -.000271 r_peak,r_snr = .2084531 52.72446 1246 -.031 4246 .063 52.72446 .004040 .006911 -.001421 r_peak,r_snr = .3053193 31.39015 1346 .063 4246 .094 31.39016 .002242 .008953 -.000117 r_peak,r_snr = .26589 41.77633 1446 .063 4246 .000 41.77634 .002407 .008179 .000145 r_peak,r_snr = .2907854 42.23047 1546 .031 4246 -.156 42.23047 .002012 .004867 -.000051 r_peak,r_snr = .1876809 36.24863 1646 -.031 4246 -.063 36.24863 .003099 .012231 .000155 r_peak,r_snr = .1270476 24.48481 1746 -.063 4246 .219 24.48481 .006910 .019672 -.002534 r_peak,r_snr = .1720966 24.30532 1846 .063 4246 -.281 24.30532 .006113 .014829 -.000062 r_peak,r_snr = .2329738 49.42549 1946 .094 4246 -.031 49.42549 .002323 .010820 .000004 r_peak,r_snr = .2180306 46.03816 2046 -.063 4246 .063 46.03816 .002449 .009140 -.000506 At line = 4600 Reading in data.... r_peak,r_snr = .2308935 6.49093 146 -.125 4646 .156 6.49093 .004659 .016931 -.002584 r_peak,r_snr = .3553554 16.67549 246 .031 4646 -.094 16.67550 .001764 .003331 -.000132 r_peak,r_snr = .2665935 67.83641 346 -.094 4646 .000 67.83642 .002065 .004484 -.000206 r_peak,r_snr = .2008125 42.0602 446 .000 4646 .063 42.06021 .003421 .008489 -.000163 r_peak,r_snr = .2429371 5.69238 546 .000 4646 -.063 5.69238 .006671 .037931 .002490 r_peak,r_snr = .2190081 7.6822 646 .094 4646 -.250 7.68220 .006938 .024119 -.001948 r_peak,r_snr = .3217892 93.04136 746 .031 4646 -.031 93.04137 .001780 .002628 -.000269 r_peak,r_snr = .356644 71.79685 846 .031 4646 -.094 71.79686 .001386 .002571 -.000140 r_peak,r_snr = .348752 99.28777 946 .000 4646 .000 99.28777 .001274 .002969 -.000060 r_peak,r_snr = .2627556 77.06852 1046 -.063 4646 -.156 77.06853 .002054 .004675 -.000202 r_peak,r_snr = .2436231 40.05047 1146 -.063 4646 -.063 40.05047 .002729 .007725 .000083 r_peak,r_snr = .1974531 45.11199 1246 -.063 4646 -.156 45.11200 .002796 .008384 -.000617 r_peak,r_snr = .3008323 39.08209 1346 -.094 4646 -.156 39.08210 .002165 .006107 -.000480 r_peak,r_snr = .3094779 61.8366 1446 .000 4646 .156 61.83660 .001440 .003943 -.000159 r_peak,r_snr = .2560805 60.63908 1546 .094 4646 -.125 60.63908 .002088 .006377 -.000260 r_peak,r_snr = .2637019 58.98397 1646 .000 4646 -.156 58.98398 .002166 .004884 -.000170 r_peak,r_snr = .2024359 49.28583 1746 -.031 4646 -.094 49.28584 .002819 .010950 -.000771 r_peak,r_snr = .1980765 44.60485 1846 .094 4646 .219 44.60485 .004734 .009961 -.000593 r_peak,r_snr = .3098321 48.73625 1946 -.031 4646 .063 48.73625 .001621 .005358 .000120 r_peak,r_snr = .2998628 72.92531 2046 -.063 4646 .125 72.92532 .001634 .004561 -.000221 At line = 5000 Reading in data.... r_peak,r_snr = .2754796 7.00481 146 -.094 5046 .188 7.00481 .004005 .032468 -.002281 r_peak,r_snr = .3674887 49.00633 246 .000 5046 .125 49.00634 .001292 .002786 -.000191 r_peak,r_snr = .3663915 10.74275 346 .000 5046 .000 10.74276 .001906 .004691 -.000049 r_peak,r_snr = .2275124 31.16005 446 -.125 5046 -.063 31.16006 .002252 .006435 -.000376 r_peak,r_snr = .3274858 33.5871 546 -.156 5046 .031 33.58710 .001915 .004838 -.000357 r_peak,r_snr = .2220093 22.39187 646 -.031 5046 -.156 22.39188 .005081 .008963 -.000134 r_peak,r_snr = .2733175 68.62358 746 .000 5046 .000 68.62359 .002636 .002998 -.000336 r_peak,r_snr = .3014195 66.62449 846 -.063 5046 -.188 66.62450 .001428 .004063 -.000055 r_peak,r_snr = .3620793 89.74415 946 .000 5046 -.063 89.74416 .001157 .002488 -.000162 r_peak,r_snr = .2478696 65.0692 1046 .063 5046 .156 65.06921 .002187 .006222 -.000242 r_peak,r_snr = .2403339 59.24759 1146 .063 5046 -.125 59.24760 .002769 .005660 .000299 r_peak,r_snr = .2741698 56.45589 1246 -.031 5046 -.031 56.45590 .002362 .006755 .000114 r_peak,r_snr = .3892798 53.22863 1346 .031 5046 .094 53.22863 .001057 .003235 -.000020 r_peak,r_snr = .318461 64.53334 1446 -.063 5046 -.031 64.53335 .001510 .005123 -.000334 r_peak,r_snr = .1782274 35.0326 1546 .000 5046 -.125 35.03261 .004076 .011653 -.000139 r_peak,r_snr = .2117757 54.04044 1646 .063 5046 -.031 54.04045 .003025 .008557 -.000760 r_peak,r_snr = .3456176 58.64213 1746 .031 5046 -.094 58.64214 .001336 .004346 .000046 r_peak,r_snr = .2196217 35.53683 1846 -.156 5046 -.125 35.53683 .003481 .011684 -.001013 r_peak,r_snr = .3626704 60.32395 1946 -.031 5046 -.063 60.32396 .001360 .003769 .000013 r_peak,r_snr = .1933979 47.34165 2046 .000 5046 -.063 47.34165 .003816 .009831 -.000894 At line = 5400 Reading in data.... r_peak,r_snr = .4918607 25.64685 146 -.031 5446 .000 25.64686 .000959 .003406 .000027 r_peak,r_snr = .260438 52.31588 246 -.156 5446 .000 52.31588 .003104 .004426 -.000103 r_peak,r_snr = .230007 63.89896 346 -.125 5446 .000 63.89897 .002414 .005937 -.000334 r_peak,r_snr = .340763 27.05305 446 -.125 5446 -.063 27.05305 .001891 .005872 -.000262 r_peak,r_snr = .3653952 21.35997 546 -.031 5446 .250 21.35998 .001506 .003429 -.000134 r_peak,r_snr = .1671053 22.41993 646 -.063 5446 -.406 22.41994 .006561 .014810 -.002978 r_peak,r_snr = .2401277 53.54377 746 .063 5446 .094 53.54378 .002967 .004054 -.000256 r_peak,r_snr = .4583495 21.36445 846 -.094 5446 .063 21.36445 .001017 .003120 -.000060 r_peak,r_snr = .3731891 90.22537 946 .063 5446 -.094 90.22538 .001212 .002402 .000021 r_peak,r_snr = .2616309 88.08086 1046 .063 5446 -.094 88.08086 .001766 .004510 -.000130 r_peak,r_snr = .243659 41.60678 1146 -.125 5446 -.250 41.60678 .002591 .005870 -.000322 r_peak,r_snr = .2756646 72.73725 1246 .031 5446 .094 72.73726 .002067 .003691 -.000031 r_peak,r_snr = .2925333 27.49819 1346 -.031 5446 .156 27.49819 .002426 .006521 -.000648 r_peak,r_snr = .2478304 55.18785 1446 .000 5446 -.125 55.18785 .001942 .006677 .000210 r_peak,r_snr = .245469 54.11915 1546 .031 5446 .063 54.11916 .002190 .005511 -.000124 r_peak,r_snr = .2693939 51.30352 1646 .125 5446 .281 51.30353 .001777 .006813 .000228 r_peak,r_snr = .1885761 47.28582 1746 -.063 5446 -.094 47.28582 .002918 .010311 -.000664 r_peak,r_snr = .106518 10.24339 1846 -.125 5446 -.688 10.24339 .015370 .164955 .012375 r_peak,r_snr = .2595945 62.30314 1946 .031 5446 .406 62.30315 .002473 .005881 -.000281 r_peak,r_snr = .2197422 44.39291 2046 .063 5446 .094 44.39291 .003820 .006551 -.000198 At line = 5800 Reading in data.... r_peak,r_snr = .2711049 25.96105 146 .063 5846 .000 25.96106 .002902 .008511 -.000712 r_peak,r_snr = .3722755 60.37158 246 -.031 5846 -.063 60.37159 .001311 .002705 -.000019 r_peak,r_snr = .2577893 53.76896 346 .000 5846 .000 53.76896 .002977 .004451 -.000412 r_peak,r_snr = .2578159 43.17585 446 .031 5846 .156 43.17586 .002173 .006229 -.000069 r_peak,r_snr = .3608937 12.75878 546 .000 5846 .188 12.75878 .002267 .006311 -.000350 r_peak,r_snr = .2296772 60.39867 646 -.063 5846 .125 60.39867 .003555 .004834 -.000460 r_peak,r_snr = .1978939 43.73546 746 -.156 5846 .000 43.73547 .004689 .007091 -.000044 r_peak,r_snr = .3246344 17.39899 846 .063 5846 -.188 17.39900 .003070 .005052 .000480 r_peak,r_snr = .4058283 50.08307 946 .094 5846 -.063 50.08307 .001110 .002763 .000040 r_peak,r_snr = .3061349 55.36957 1046 .031 5846 .156 55.36957 .001744 .003264 -.000173 r_peak,r_snr = .3302816 66.91835 1146 .000 5846 -.125 66.91835 .001429 .003351 -.000081 r_peak,r_snr = .331114 43.81555 1246 .063 5846 .156 43.81556 .001499 .004910 -.000038 r_peak,r_snr = .2513358 28.79232 1346 -.188 5846 -.094 28.79233 .003371 .008371 -.000633 r_peak,r_snr = .2953316 67.57421 1446 .000 5846 -.125 67.57422 .001487 .004162 -.000209 r_peak,r_snr = .2337997 39.97113 1546 .094 5846 -.344 39.97114 .003755 .011420 -.000526 r_peak,r_snr = .1332283 24.06173 1646 -.125 5846 -.063 24.06174 .010318 .013426 -.003291 r_peak,r_snr = 9.98634E-02 14.36682 1746 -.188 5846 1.344 14.36682 .007049 .159573 -.004520 r_peak,r_snr = .2587454 35.43643 1846 -.094 5846 -.031 35.43644 .002986 .008028 .000304 r_peak,r_snr = .3390212 52.33068 1946 .031 5846 -.031 52.33068 .001559 .003445 -.000024 r_peak,r_snr = .2433283 44.56855 2046 .063 5846 -.063 44.56855 .002517 .004648 -.000394 ************************************************* ***** 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 94049 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 94049 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 94049 FOUND CALIB SET 94049 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: 85.69999 -193.092 -191.765 -193.192 -191.765 Enter the name of the motion compensation file. How many lines of raw data? Cross pol phase difference is: 85.70 deg Receiver phase difference is 59.70 deg Transmitter phase difference is 145.40 deg Cable phase difference is 70.38 deg Reading data to estimate cross-talk. 256 512 768 1024 Estimating the cross-talk parameters. 256 512 768 1024 1280 1536 1792 2048 2304 2560 Finished estimating cross-talk. Enter the file with the lines per pixel. Is there a DEM available? Now doing the actual calibration. 100 200 300 400 500 600 700 800 900 1000 ********************************************* ***** ***** ***** Integrated AIRSAR Processor ***** ***** ***** ***** Compression Program ***** ***** ***** ********************************************* ***** ***** ***** This prgram reads six input ***** ***** cross-product files and then ***** ***** compresses them into either the ***** ***** current AIRSAR compressed Stokes ***** ***** matric format, or the SIR-C com- ***** ***** pressed cross-product format. ***** ***** ***** ********************************************* Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of input file. Enter the name of output file. Please choose the type of compression: (1) Stokes matrix (AIRSAR standard) (2) Cross-products (SIR-C standard) Finished writing headers. 256 512 768 1024 *** Synthesize 2.5 - 11/30/90 *** Enter the name of input file. Stokes matrix data... Enter the name of the output byte file. Enter the relative scale factor. 100 200 300 400 500 600 700 800 900 1000 rm: /data11/airops/hd5278.log non-existent Fri May 1 17:03:52 PDT 1998 Fri May 1 17:03:52 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 @ 08:56:47 IDR=167950 FC=3,532,676 drft 4.8; LRef is 0.9min S, 1.0min W of GPS; almost full moon, no RFI, another great run, yawn...ncreased L-band RX gain by 2dB over previous runs here l Kobrick, 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: 94049 94049 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5278 prod ID1:*5278*5278* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94049 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171600584.9720 -171600536.2120 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49218 7954.97520 7959.24240 1.3637707 0 ralt 7717.75888 7708.39200 7724.54640 4.3116640 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88776 53.97752 .0257839 0 long -104.56234 -104.58829 -104.53590 .0150660 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8219.08984 8229.92969 2.8010286 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171600584.971222 -171600584.972 GPS trend coefficients = 5.07367558492683 -11.5826281971261 2.17374730057795 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 delx .25719 .25718 .25728 .0000099 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49266 7954.97520 7959.24240 1.3637964 0 ralt 7717.76460 7709.61120 7724.54640 4.3016570 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88959 53.97752 .0257790 0 long -104.56234 -104.58829 -104.53695 .0150632 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8223.33427 8225.89154 .6660214 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00013 -.10648 .12367 .0461546 0 ca -.00484 -.13356 .12283 .0373880 0 aa -.01379 -.07632 .03697 .0188172 0 Average Barometric Altitude = 7957.492657499952 Average Radar Altitude = 7717.764599999992 Average GPS Altitude = 8224.852246093767 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.756694074150800E-04 Standard deviation of difference = 2.890081939012123E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9115677 -104.5496826 8225.012 End position = 53.9555244 -104.5754013 8225.644 Loxodromic Heading (deg) = -19.0477980 Loxodromic Distance (km) = 5175.9532676 Geodesic Heading (deg) = -19.0374061 Geodesic Distance (km) = 5175.9532112 Peg latitude and longitude = 53.9335556 -104.5625076 Peg heading = -19.0927626 Rotation matrix First row = -.148026210 -.124526042 -.981112382 Second row = -.569809682 .821572766 -.018306197 Third row = .808334812 .556337537 -.192570447 Translation vector Vector = -1969.62524 -7581.84332 -23834.10822 Local Radius of Curvature = 6378826.447825055 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2535116399012322 Delta s on reference surface = .253511641946813 Making fits... Vertical fit coefficients = 8225.008976601637 -5.270652204114867E-02 -2.335247347025059E-03 Cross track fit coefficients = 13.41577944154065 -.734321729834544 3.676978506576236E-03 Along track fit coefficients = -5292.68024033466 214.889052831059 2.119148188246455E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3065.406173840099 Time orgin = -171600584.971222 Pulse spacing = .2571935106065052 First frame = 4234193 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/cm5278_l.par Enter the raw data file name. /data1/airops/l_hh Enter the motion compensation file name. /data3/airops/cm5278_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): (43.89577,.0) (33.91946,.0) (-61.8531,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 24236.95 Pulse#/64: 65 1073 33475.97 Pulse#/64: 129 1073 41377.46 Pulse#/64: 193 1073 34520.47 Pulse#/64: 257 1073 31909.14 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.72894Power RMS: 1.80305 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 198.0321Amp. RMS: 53.01149 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -87.5337Phase RMS: 232.1402 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.8425 CalTone Power Coherently dB : 45.72894 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.8425 Incoherent PW - Coherent PW : 36.11356 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12335.46 CalTone Amplitude Coherently : 198.0321 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12137.43 ------------ *** ------------ running time (sec): 65.56 ********** 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/cm5278_l.par Enter the raw data file name. /data1/airops/l_hv Enter the motion compensation file name. /data3/airops/cm5278_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): (-2.0,.0) (21.0,.0) (12.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 43270.29 Pulse#/64: 65 1073 188531.8 Pulse#/64: 129 1073 33986.03 Pulse#/64: 193 1073 44692.18 Pulse#/64: 257 1073 36561.81 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.94593Power RMS: 1.45522 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 200.8634Amp. RMS: 33.11385 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 180.716Phase RMS: 224.5464 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.03265 CalTone Power Coherently dB : 45.94593 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.03265 Incoherent PW - Coherent PW : 36.08671 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12649.3 CalTone Amplitude Coherently : 200.8634 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12448.44 ------------ *** ------------ running time (sec): 64.46 ********** 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/cm5278_l.par Enter the raw data file name. /data1/airops/l_vh Enter the motion compensation file name. /data3/airops/cm5278_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): (11.0,.0) (3.0,.0) (-7.0,.0) attenuation (dB): .0 Pulse#/64: 1 1073 42734.84 Pulse#/64: 65 1073 35086.58 Pulse#/64: 129 1073 27928.76 Pulse#/64: 193 1073 42705.0 Pulse#/64: 257 1073 38733.56 Estimate Caltone : 1073 -----CalTone Estimate Position --- CalTone Bin at : 1073 1073 CalTone Bin offset : 0 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 45.55615Power RMS: 1.60915 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 192.0286Amp. RMS: 25.81885 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -130.923Phase RMS: 231.7793 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 81.7949 CalTone Power Coherently dB : 45.55615 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 81.7949 Incoherent PW - Coherent PW : 36.23874 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12295.14 CalTone Amplitude Coherently : 192.0286 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12103.11 ------------ *** ------------ running time (sec): 64.51 ********** 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/cm5278_l.par Enter the raw data file name. /data1/airops/l_vv Enter the motion compensation file name. /data3/airops/cm5278_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): (3.99052,.0) (3.99052,.0) (25.93841,.0) attenuation (dB): 6.0 Pulse#/64: 1 1073 46907.0 Pulse#/64: 65 1073 31108.05 Pulse#/64: 129 1073 35542.27 Pulse#/64: 193 1073 56330.72 Pulse#/64: 257 1073 31110.16 Estimate Caltone : 1368 -----CalTone Estimate Position --- CalTone Bin at : 1368 1073 CalTone Bin offset : -295 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 46.21458Power RMS: 1.52462 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 208.2037Amp. RMS: 47.42127 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 15.80739Phase RMS: 248.8038 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 82.13346 CalTone Power Coherently dB : 46.21458 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 82.13346 Incoherent PW - Coherent PW : 35.91888 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 12796.17 CalTone Amplitude Coherently : 208.2037 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 12587.96 ------------ *** ------------ running time (sec): 65.06 ********** Next Channel ************ Enter Batch Mode Flag: yes=1; no=else 0 *************************************************** * * * AIRSAR INTEGRATED PROCESSOR * * * * Global Line Generator * * * * This program generates the global line to use * * in the single-look processors to resample the * * data. * * * *************************************************** Please enter the name of the sensor file. Enter the name of the parameter file. Please enter the name of the mocomp file. Reading motion compensation data Global reference line calculation results: y fit: constant and linear terms: 8.5638 -3.04859E-04 z fit: constant and linear terms: -.156508 -1.86055E-08 y and z standard deviations (meters) 2.0051 .6939479 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 = 3.86780E-02 3.74938E-02 3.49232E-02 3.49473E-02 Differences = 2.16737E-03 9.83257E-04 -1.58742E-03 -1.56324E-03 PATCH NUMER 2 First line = 3493 Averages = 3.53373E-02 3.47085E-02 3.61866E-02 3.76274E-02 Differences = -6.27633E-04 -1.25645E-03 2.21670E-04 1.66253E-03 PATCH NUMER 3 First line = 6985 Averages = 3.56226E-02 3.73066E-02 3.85373E-02 3.98403E-02 Differences = -2.20408E-03 -5.20125E-04 7.10636E-04 2.01357E-03 PATCH NUMER 4 First line = 10477 Averages = 3.80160E-02 3.94169E-02 4.04053E-02 3.74714E-02 Differences = -8.11413E-04 5.89550E-04 1.57793E-03 -1.35595E-03 PATCH NUMER 5 First line = 13969 Averages = 4.05086E-02 3.85811E-02 3.43351E-02 3.31451E-02 Differences = 3.86610E-03 1.93859E-03 -2.30737E-03 -3.49736E-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/cm5278_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) = 507.2 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/cm5278_l.mocomph Output file name? /data3/airops/cm5278_l Choose an extension for the output file: (1) HH (2) HV (3) VH (4) VV (5) TP (6) BT Enter the 2 letter extension. hh Read Doppler parameters & global line from a file? 0 = No, 1 = Yes 1 Use Doppler tracker (0) or INU (1)? 1 Name of the deskew file? /data3/airops/deskew.lh xintp1: .0 .0 .0 1.0 xintp4: .0 .0 .0 .0 reading motion compensation data References calculated in time domain. start range comp, time = 2.276 Processing 5 blocks Processing block number 1 reference line: 4096 2.277 seconds. Range compression done, time = 120.655 Motion comp. coeff. calculated, time = 120.746 Motion comp. added to patch, time = 211.898 Doppler estimation done, time = 211.898 Azimuth compression starting, time : 212.031 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 610.108 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 632.101 seconds. Range compression done, time = 769.148 Motion comp. coeff. calculated, time = 769.622 Motion comp. added to patch, time = 904.600 Doppler estimation done, time = 904.612 Azimuth compression starting, time : 904.794 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1747.493 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1771.487 seconds. Range compression done, time = 1884.793 Motion comp. coeff. calculated, time = 1885.146 Motion comp. added to patch, time = 1984.693 Doppler estimation done, time = 1984.693 Azimuth compression starting, time : 1984.851 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2390.866 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 2412.441 seconds. Range compression done, time = 2518.655 Motion comp. coeff. calculated, time = 2518.907 Motion comp. added to patch, time = 2594.909 Doppler estimation done, time = 2594.909 Azimuth compression starting, time : 2595.026 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3005.973 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 3025.019 seconds. Range compression done, time = 3130.106 Motion comp. coeff. calculated, time = 3130.449 Motion comp. added to patch, time = 3206.689 Doppler estimation done, time = 3206.690 Azimuth compression starting, time : 3206.807 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3619.303 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_l.hh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_l.mocomph Output file name? /data3/airops/cm5278_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 = 2.321 Processing 5 blocks Processing block number 1 reference line: 4096 2.321 seconds. Range compression done, time = 81.203 Motion comp. coeff. calculated, time = 81.294 Motion comp. added to patch, time = 161.493 Doppler estimation done, time = 161.493 Azimuth compression starting, time : 161.611 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 537.188 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 556.060 seconds. Range compression done, time = 630.808 Motion comp. coeff. calculated, time = 630.886 Motion comp. added to patch, time = 707.338 Doppler estimation done, time = 707.338 Azimuth compression starting, time : 707.466 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1082.949 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1102.716 seconds. Range compression done, time = 1177.431 Motion comp. coeff. calculated, time = 1177.680 Motion comp. added to patch, time = 1253.592 Doppler estimation done, time = 1253.592 Azimuth compression starting, time : 1253.718 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1629.291 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1650.601 seconds. Range compression done, time = 1725.530 Motion comp. coeff. calculated, time = 1725.741 Motion comp. added to patch, time = 1802.238 Doppler estimation done, time = 1802.239 Azimuth compression starting, time : 1802.367 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2180.405 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2199.320 seconds. Range compression done, time = 2274.475 Motion comp. coeff. calculated, time = 2274.721 Motion comp. added to patch, time = 2358.502 Doppler estimation done, time = 2358.503 Azimuth compression starting, time : 2358.620 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2737.258 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_l.hv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_l.mocompv Output file name? /data3/airops/cm5278_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 = 2.396 Processing 5 blocks Processing block number 1 reference line: 4096 2.396 seconds. Range compression done, time = 82.579 Motion comp. coeff. calculated, time = 82.654 Motion comp. added to patch, time = 163.216 Doppler estimation done, time = 163.217 Azimuth compression starting, time : 163.347 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 544.964 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 563.787 seconds. Range compression done, time = 638.660 Motion comp. coeff. calculated, time = 638.769 Motion comp. added to patch, time = 715.428 Doppler estimation done, time = 715.428 Azimuth compression starting, time : 715.568 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1122.504 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1146.306 seconds. Range compression done, time = 1221.295 Motion comp. coeff. calculated, time = 1221.786 Motion comp. added to patch, time = 1298.807 Doppler estimation done, time = 1298.807 Azimuth compression starting, time : 1298.941 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1710.090 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1731.619 seconds. Range compression done, time = 1807.190 Motion comp. coeff. calculated, time = 1807.415 Motion comp. added to patch, time = 1883.542 Doppler estimation done, time = 1883.542 Azimuth compression starting, time : 1883.675 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2298.224 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2317.151 seconds. Range compression done, time = 2391.957 Motion comp. coeff. calculated, time = 2392.213 Motion comp. added to patch, time = 2468.386 Doppler estimation done, time = 2468.387 Azimuth compression starting, time : 2468.504 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2884.139 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_l.vh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_l.mocompv Output file name? /data3/airops/cm5278_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 = 2.321 Processing 5 blocks Processing block number 1 reference line: 4096 2.321 seconds. Range compression done, time = 113.358 Motion comp. coeff. calculated, time = 113.433 Motion comp. added to patch, time = 193.466 Doppler estimation done, time = 193.466 Azimuth compression starting, time : 193.584 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 570.053 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 588.897 seconds. Range compression done, time = 695.026 Motion comp. coeff. calculated, time = 695.117 Motion comp. added to patch, time = 771.761 Doppler estimation done, time = 771.761 Azimuth compression starting, time : 771.891 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1148.731 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1172.461 seconds. Range compression done, time = 1278.269 Motion comp. coeff. calculated, time = 1278.520 Motion comp. added to patch, time = 1355.254 Doppler estimation done, time = 1355.254 Azimuth compression starting, time : 1355.370 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1732.011 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1753.162 seconds. Range compression done, time = 1859.397 Motion comp. coeff. calculated, time = 1860.001 Motion comp. added to patch, time = 1938.391 Doppler estimation done, time = 1938.391 Azimuth compression starting, time : 1938.519 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2315.165 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2333.597 seconds. Range compression done, time = 2439.448 Motion comp. coeff. calculated, time = 2439.691 Motion comp. added to patch, time = 2516.718 Doppler estimation done, time = 2516.718 Azimuth compression starting, time : 2516.836 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2894.739 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_l.vv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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: 993 *************************************** ***** ***** ***** 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 94049 writing parheadL writing parhead 20.0 writing parhead 82.0 writing parhead 81.8 writing parhead 1.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.10174 -2.82864 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 .013 .029 .074 .304 .582 .374 .162 .109 .099 .021 .040 .077 .290 .515 .360 .177 .143 .113 .021 .052 .094 .356 .558 .336 .163 .140 .102 .017 .043 .092 .448 .820 .434 .157 .119 .082 .016 .036 .071 .428 1.000 .604 .170 .115 .086 .018 .047 .070 .328 .844 .641 .190 .117 .103 .013 .060 .092 .272 .602 .503 .176 .096 .087 .009 .058 .111 .264 .503 .354 .128 .059 .045 .011 .048 .101 .243 .457 .305 .102 .040 .025 r_peak,r_snr = .3467283 10.50647 Correlation Surface of oversamples image at 146 3046 .213 .298 .439 .586 .635 .540 .369 .227 .153 .212 .307 .476 .666 .739 .617 .394 .220 .135 .189 .296 .496 .743 .868 .736 .452 .229 .124 .153 .263 .483 .779 .973 .866 .536 .258 .124 .121 .222 .436 .750 1.000 .950 .617 .300 .137 .104 .190 .376 .666 .933 .945 .659 .339 .158 .105 .176 .326 .565 .807 .860 .647 .362 .182 .121 .179 .300 .487 .681 .739 .589 .359 .199 .146 .195 .295 .447 .592 .624 .506 .330 .199 146 .188 3046 .000 10.50647 .003286 .020736 -.002640 Correlation Surface at 246 3046 .183 .099 .000 .005 .000 .088 .063 .005 .003 .129 .051 .032 .172 .140 .000 .063 .001 .007 .035 .031 .008 .280 .388 .086 .011 .000 .001 .006 .001 .000 .328 .695 .192 .000 .000 .012 .094 .009 .001 .540 1.000 .203 .003 .022 .003 .117 .001 .009 .593 .744 .077 .053 .103 .019 .037 .046 .000 .256 .217 .000 .131 .153 .047 .000 .131 .025 .048 .037 .018 .131 .153 .035 .005 .029 .000 .033 .044 .006 .071 .062 .008 r_peak,r_snr = 8.98230E-02 9.80401 Correlation Surface of oversamples image at 246 3046 .032 .220 .502 .644 .546 .276 .048 .002 .020 .011 .152 .460 .705 .685 .411 .117 .004 .004 .001 .093 .406 .757 .832 .549 .187 .019 .001 .000 .065 .386 .816 .958 .650 .222 .021 .003 .000 .064 .411 .868 1.000 .650 .195 .007 .018 .000 .075 .436 .843 .877 .501 .110 .001 .058 .001 .064 .378 .668 .591 .258 .023 .030 .124 .009 .029 .242 .407 .294 .075 .001 .091 .188 .032 .004 .110 .190 .108 .007 .031 .143 .224 246 -.125 3046 -1.031 9.80401 .028219 .164023 .023761 Correlation Surface at 346 3046 .092 .138 .020 .000 .000 .007 .130 .379 .242 .275 .527 .306 .159 .047 .020 .061 .241 .349 .309 .609 .580 .725 .511 .148 .026 .044 .151 .091 .148 .117 .551 .943 .369 .029 .000 .004 .038 .003 .017 .187 1.000 .461 .019 .026 .007 .050 .001 .094 .078 .956 .485 .025 .009 .000 .014 .021 .177 .013 .588 .313 .032 .011 .039 .005 .026 .162 .001 .224 .051 .011 .058 .136 .061 .008 .008 .030 .216 .009 .002 .063 .138 r_peak,r_snr = 8.30997E-02 10.4482 Correlation Surface of oversamples image at 346 3046 .267 .469 .754 .837 .535 .138 .000 .100 .214 .106 .272 .608 .864 .717 .308 .029 .038 .192 .016 .129 .467 .840 .843 .484 .116 .004 .142 .000 .067 .401 .836 .932 .622 .216 .004 .087 .010 .045 .390 .859 1.000 .709 .288 .022 .045 .024 .027 .351 .826 .988 .699 .284 .030 .024 .049 .006 .255 .688 .840 .558 .195 .015 .019 .078 .000 .153 .503 .609 .343 .078 .000 .020 .094 .006 .083 .342 .389 .156 .007 .015 .031 346 -.094 3046 -1.281 10.44820 .468554 17.298725 -2.771765 Correlation Surface at 446 3046 .030 .101 .253 .535 .492 .268 .179 .142 .079 .008 .052 .200 .475 .640 .395 .204 .176 .132 .011 .012 .117 .453 .813 .535 .222 .225 .251 .054 .012 .113 .522 .986 .698 .324 .244 .282 .102 .055 .230 .670 1.000 .700 .406 .221 .212 .097 .174 .436 .725 .786 .477 .380 .217 .196 .105 .332 .527 .578 .488 .282 .400 .350 .330 .234 .353 .422 .474 .360 .233 .560 .680 .589 .429 .262 .269 .610 .551 .313 .666 .840 .807 r_peak,r_snr = .1255403 3.67931 Correlation Surface of oversamples image at 446 3046 .404 .878 1.660 2.059 1.653 1.169 .249 .758 1.790 2.585 2.393 1.913 .150 .650 1.866 3.037 3.093 2.652 .178 .707 2.054 3.473 3.732 3.402 446 10.813 3046 -4.188 3.67931 .094781 .566281 .144275 Correlation Surface at 546 3046 .510 .471 .454 .603 .864 .789 .573 .444 .345 .497 .466 .452 .541 .731 .695 .562 .443 .331 .465 .451 .478 .550 .706 .638 .544 .457 .360 .440 .480 .563 .678 .849 .685 .538 .451 .401 .393 .479 .599 .789 1.000 .798 .608 .490 .444 .344 .391 .505 .739 .964 .827 .680 .583 .505 .343 .317 .408 .631 .831 .768 .676 .653 .539 .370 .321 .420 .621 .778 .734 .637 .632 .513 .378 .343 .482 .703 .845 .764 .619 .562 .445 r_peak,r_snr = .3977044 2.64819 Correlation Surface of oversamples image at 546 3046 .553 .590 .661 .772 .847 .819 .736 .664 .607 .571 .615 .695 .817 .895 .853 .750 .670 .616 .582 .633 .726 .866 .953 .901 .778 .683 .623 .572 .629 .738 .896 .995 .941 .808 .702 .633 .538 .601 .723 .893 1.000 .952 .822 .715 .642 .487 .556 .684 .857 .965 .925 .809 .713 .647 .437 .508 .632 .795 .898 .868 .772 .695 .644 .408 .478 .587 .729 .822 .803 .728 .670 .638 .411 .475 .564 .680 .760 .750 .694 .650 .632 546 .094 3046 4.844 2.64819 .009447 .037846 -.002695 Correlation Surface at 646 3046 .669 .677 .640 .674 .753 .755 .769 .787 .714 .664 .657 .616 .675 .798 .799 .765 .785 .746 .651 .637 .649 .773 .872 .830 .769 .796 .778 .615 .588 .681 .909 .962 .825 .744 .805 .808 .602 .552 .667 .958 1.000 .789 .700 .788 .814 .656 .589 .663 .903 .932 .735 .660 .751 .788 .724 .679 .719 .863 .843 .706 .645 .710 .751 .735 .737 .769 .848 .793 .695 .651 .691 .709 .715 .734 .746 .809 .766 .681 .659 .702 .691 r_peak,r_snr = .5666319 1.60996 Correlation Surface of oversamples image at 646 3046 .642 .654 .698 .759 .807 .813 .777 .721 .674 .631 .673 .749 .832 .878 .864 .804 .730 .672 .611 .679 .786 .894 .946 .914 .829 .736 .670 .586 .670 .798 .928 .990 .949 .843 .735 .665 .566 .653 .788 .929 1.000 .957 .841 .723 .651 .559 .640 .770 .906 .976 .936 .820 .703 .631 .567 .636 .751 .869 .925 .887 .785 .678 .611 .588 .646 .743 .834 .867 .828 .744 .658 .598 .617 .667 .746 .810 .820 .778 .712 .647 .598 646 -.406 3046 -.094 1.60996 .007240 .033039 .003886 Correlation Surface at 746 3046 .055 .115 .253 .531 .767 .554 .292 .143 .073 .056 .121 .240 .534 .852 .639 .306 .152 .079 .044 .107 .223 .527 .898 .707 .308 .130 .067 .033 .092 .235 .571 .948 .747 .294 .099 .054 .029 .091 .272 .660 1.000 .775 .302 .088 .051 .034 .104 .312 .731 .974 .732 .313 .102 .056 .047 .109 .315 .724 .904 .650 .310 .125 .061 .056 .108 .304 .687 .886 .642 .306 .127 .052 .059 .119 .313 .675 .899 .687 .319 .109 .036 r_peak,r_snr = .4433858 6.47016 Correlation Surface of oversamples image at 746 3046 .173 .296 .490 .717 .876 .877 .728 .512 .315 .179 .316 .521 .754 .912 .906 .742 .510 .301 .191 .345 .566 .803 .954 .934 .754 .508 .291 .208 .381 .615 .852 .990 .954 .761 .508 .287 .226 .415 .657 .883 1.000 .948 .753 .503 .286 .242 .439 .679 .885 .975 .909 .722 .490 .286 .253 .449 .677 .858 .923 .851 .677 .469 .284 .258 .445 .655 .814 .863 .791 .633 .446 .280 .257 .432 .625 .767 .810 .746 .601 .428 .274 746 .125 3046 -3.688 6.47016 .005553 .160056 .015679 Correlation Surface at 846 3046 .005 .053 .013 .007 .011 .005 .001 .003 .025 .009 .018 .010 .015 .065 .007 .053 .035 .005 .012 .004 .006 .021 .248 .065 .050 .034 .046 .000 .004 .000 .078 .631 .333 .000 .000 .284 .015 .004 .018 .199 1.000 .578 .075 .113 .590 .023 .000 .057 .263 .870 .434 .166 .295 .562 .002 .001 .117 .260 .445 .177 .108 .234 .265 .002 .000 .134 .231 .220 .114 .046 .090 .074 .001 .001 .132 .223 .162 .169 .040 .030 .012 r_peak,r_snr = .1291263 11.60569 Correlation Surface of oversamples image at 846 3046 .085 .006 .054 .183 .148 .025 .009 .062 .067 .068 .001 .112 .353 .350 .127 .004 .021 .042 .029 .005 .210 .575 .628 .321 .065 .000 .009 .002 .041 .334 .787 .890 .543 .188 .031 .002 .010 .108 .438 .892 1.000 .666 .298 .101 .040 .056 .187 .481 .841 .901 .614 .318 .159 .109 .113 .241 .444 .667 .665 .440 .248 .170 .163 .148 .246 .351 .455 .416 .254 .147 .130 .164 .153 .213 .247 .279 .236 .129 .069 .075 .120 846 .344 3046 .000 11.60570 .013269 .087939 .005440 Correlation Surface at 946 3046 .023 .001 .024 .180 .298 .124 .002 .049 .127 .006 .000 .019 .102 .279 .186 .016 .008 .024 .003 .009 .048 .115 .280 .189 .048 .001 .000 .025 .014 .074 .233 .548 .278 .147 .012 .006 .029 .006 .048 .324 1.000 .432 .190 .036 .015 .008 .000 .012 .213 .988 .422 .084 .040 .000 .003 .001 .002 .058 .462 .205 .014 .036 .018 .011 .024 .005 .017 .123 .039 .000 .043 .023 .015 .043 .010 .032 .051 .000 .010 .025 .011 r_peak,r_snr = .1540656 16.16266 Correlation Surface of oversamples image at 946 3046 .031 .055 .097 .196 .312 .319 .248 .175 .090 .038 .078 .151 .301 .453 .432 .310 .217 .123 .035 .094 .213 .445 .655 .582 .366 .227 .131 .024 .091 .258 .587 .869 .734 .399 .201 .105 .012 .073 .259 .656 1.000 .826 .398 .151 .060 .004 .046 .210 .598 .956 .793 .351 .097 .022 .001 .024 .139 .445 .751 .642 .273 .055 .004 .001 .012 .080 .280 .497 .444 .191 .031 .000 .001 .006 .043 .156 .284 .265 .117 .017 .000 946 .094 3046 -.344 16.16266 .009827 .062980 -.003733 Correlation Surface at 1046 3046 .003 .003 .026 .305 .491 .259 .016 .009 .000 .016 .001 .029 .310 .457 .221 .012 .008 .001 .031 .006 .076 .433 .548 .208 .008 .007 .003 .032 .026 .142 .610 .810 .288 .010 .017 .016 .031 .038 .163 .633 1.000 .407 .016 .017 .018 .025 .028 .113 .463 .869 .438 .014 .006 .001 .015 .012 .046 .275 .621 .361 .005 .005 .001 .011 .012 .014 .151 .434 .286 .004 .012 .001 .013 .042 .011 .070 .258 .207 .014 .006 .005 r_peak,r_snr = .2434634 18.04713 Correlation Surface of oversamples image at 1046 3046 .037 .157 .376 .560 .532 .335 .145 .037 .001 .054 .209 .481 .726 .715 .467 .212 .060 .003 .069 .251 .564 .866 .892 .611 .290 .087 .006 .076 .265 .590 .923 1.000 .727 .360 .111 .009 .070 .243 .545 .873 1.000 .777 .402 .122 .009 .053 .193 .451 .750 .908 .752 .400 .114 .006 .032 .136 .350 .616 .781 .674 .359 .091 .002 .015 .088 .270 .513 .670 .580 .297 .062 .000 .005 .052 .208 .439 .583 .489 .233 .036 .004 1046 -.125 3046 .188 18.04713 .007145 .054585 -.006709 Correlation Surface at 1146 3046 .003 .004 .016 .048 .094 .064 .020 .002 .026 .009 .003 .000 .000 .018 .069 .051 .044 .020 .012 .018 .022 .014 .025 .029 .000 .008 .071 .006 .052 .181 .292 .396 .157 .007 .015 .032 .026 .034 .252 .563 1.000 .434 .001 .031 .004 .024 .003 .089 .225 .569 .224 .005 .015 .004 .045 .029 .004 .001 .058 .013 .009 .004 .006 .085 .251 .249 .098 .003 .000 .007 .008 .010 .073 .430 .558 .263 .019 .000 .085 .127 .077 r_peak,r_snr = .1165662 12.30608 Correlation Surface of oversamples image at 1146 3046 .000 .002 .000 .027 .079 .041 .000 .022 .035 .024 .024 .063 .194 .275 .131 .003 .031 .065 .086 .112 .245 .518 .616 .303 .024 .024 .077 .134 .186 .417 .820 .926 .467 .054 .016 .075 .131 .181 .440 .886 1.000 .506 .065 .011 .066 .062 .088 .282 .653 .769 .393 .049 .010 .055 .001 .005 .083 .299 .406 .222 .029 .006 .036 .064 .038 .000 .058 .130 .093 .021 .000 .010 .353 .233 .072 .002 .010 .023 .017 .007 .000 1146 2.844 3046 -3.125 12.30609 .026581 .024660 -.002684 Correlation Surface at 1246 3046 .065 .033 .064 .003 .018 .030 .007 .072 .328 .000 .000 .105 .000 .056 .037 .019 .028 .193 .018 .000 .041 .044 .343 .096 .003 .001 .041 .042 .006 .000 .212 .880 .216 .015 .080 .000 .076 .019 .015 .374 1.000 .254 .050 .156 .022 .062 .031 .027 .260 .523 .163 .016 .108 .051 .001 .041 .004 .045 .133 .051 .000 .102 .118 .047 .035 .014 .013 .016 .002 .000 .177 .259 .073 .054 .009 .071 .013 .013 .004 .209 .261 r_peak,r_snr = 9.85841E-02 14.04201 Correlation Surface of oversamples image at 1246 3046 .118 .092 .001 .093 .234 .188 .036 .008 .085 .050 .029 .014 .210 .404 .297 .046 .027 .176 .015 .002 .077 .405 .653 .457 .071 .041 .272 .001 .005 .167 .609 .889 .608 .104 .044 .339 .002 .023 .236 .723 1.000 .676 .129 .034 .335 .013 .036 .242 .688 .928 .631 .141 .013 .243 .023 .027 .162 .491 .667 .463 .128 .001 .124 .019 .003 .047 .222 .332 .237 .081 .002 .046 .005 .011 .001 .035 .083 .056 .022 .003 .016 1246 -.031 3046 1.063 14.04202 .018283 .102999 .004308 Correlation Surface at 1346 3046 .070 .133 .253 .408 .563 .574 .474 .299 .191 .063 .132 .255 .435 .598 .552 .461 .298 .187 .057 .120 .252 .511 .702 .542 .402 .286 .179 .056 .108 .236 .588 .892 .590 .357 .271 .187 .057 .098 .204 .573 1.000 .654 .338 .248 .196 .055 .091 .172 .469 .879 .651 .338 .218 .176 .053 .091 .157 .370 .688 .596 .350 .198 .144 .053 .102 .177 .339 .581 .561 .367 .201 .139 .059 .117 .223 .376 .567 .558 .373 .216 .160 r_peak,r_snr = .568787 5.84808 Correlation Surface of oversamples image at 1346 3046 .176 .281 .439 .601 .671 .619 .505 .403 .332 .173 .292 .484 .686 .764 .674 .513 .383 .303 .166 .294 .519 .772 .870 .748 .539 .377 .284 .155 .285 .530 .828 .960 .823 .576 .383 .275 .142 .267 .513 .834 1.000 .873 .609 .396 .274 .129 .242 .471 .783 .969 .875 .627 .411 .279 .118 .218 .417 .697 .883 .828 .622 .423 .290 .112 .199 .367 .604 .777 .758 .602 .433 .305 .110 .187 .329 .526 .681 .688 .576 .438 .321 1346 .031 3046 .063 5.84808 .001279 .008469 -.000684 Correlation Surface at 1446 3046 .041 .073 .001 .085 .200 .069 .000 .002 .000 .053 .066 .000 .222 .402 .088 .006 .011 .012 .069 .057 .001 .358 .639 .139 .008 .016 .038 .091 .075 .000 .438 .928 .209 .002 .015 .050 .137 .149 .009 .354 1.000 .191 .006 .022 .053 .197 .247 .043 .181 .625 .088 .021 .036 .063 .195 .233 .034 .102 .269 .025 .028 .041 .066 .114 .114 .002 .102 .162 .020 .020 .039 .046 .045 .029 .006 .112 .165 .048 .008 .029 .023 r_peak,r_snr = .253854 22.49663 Correlation Surface of oversamples image at 1446 3046 .000 .066 .266 .467 .496 .340 .136 .019 .001 .001 .093 .337 .588 .634 .441 .182 .029 .000 .004 .116 .404 .715 .788 .554 .232 .042 .000 .004 .124 .446 .820 .929 .651 .264 .048 .001 .001 .107 .437 .858 1.000 .691 .260 .040 .000 .001 .070 .367 .787 .950 .644 .217 .023 .001 .010 .033 .264 .628 .786 .524 .157 .008 .006 .027 .011 .167 .443 .571 .376 .100 .001 .014 .039 .002 .103 .294 .383 .251 .062 .000 .018 1446 -.094 3046 -.438 22.49664 .002621 .023344 -.000546 Correlation Surface at 1546 3046 .029 .042 .009 .037 .149 .130 .028 .000 .002 .059 .073 .008 .084 .225 .119 .005 .010 .007 .098 .099 .003 .165 .438 .208 .002 .037 .023 .161 .115 .002 .267 .777 .428 .011 .022 .018 .223 .139 .014 .337 1.000 .604 .040 .003 .006 .191 .131 .007 .298 .875 .551 .055 .000 .004 .110 .113 .003 .163 .551 .370 .046 .001 .006 .103 .126 .038 .058 .279 .190 .027 .001 .006 .183 .152 .044 .045 .170 .100 .018 .001 .007 r_peak,r_snr = .2129352 18.43824 Correlation Surface of oversamples image at 1546 3046 .023 .017 .169 .406 .580 .503 .220 .023 .009 .007 .036 .219 .509 .752 .684 .322 .043 .006 .001 .058 .260 .594 .906 .857 .431 .075 .001 .000 .072 .284 .639 .993 .962 .511 .113 .000 .000 .076 .292 .647 1.000 .973 .543 .147 .006 .001 .064 .273 .608 .921 .890 .517 .166 .017 .008 .037 .222 .518 .774 .741 .444 .164 .031 .030 .012 .155 .409 .616 .583 .361 .152 .045 .070 .000 .093 .303 .469 .439 .279 .133 .054 1546 .219 3046 -.719 18.43825 .006898 .059647 -.001704 Correlation Surface at 1646 3046 .000 .106 .306 .103 .022 .104 .171 .038 .093 .021 .268 .448 .170 .030 .099 .218 .098 .075 .014 .184 .302 .206 .070 .102 .223 .100 .024 .000 .008 .069 .310 .334 .159 .129 .025 .000 .002 .010 .015 .572 1.000 .238 .031 .000 .008 .082 .000 .026 .615 .982 .190 .003 .007 .014 .173 .021 .034 .275 .294 .054 .006 .001 .010 .118 .026 .016 .071 .048 .022 .032 .006 .001 .035 .006 .006 .051 .079 .086 .087 .038 .029 r_peak,r_snr = .1232925 8.49896 Correlation Surface of oversamples image at 1646 3046 .052 .111 .162 .132 .062 .024 .023 .039 .049 .014 .092 .237 .301 .214 .098 .052 .046 .032 .003 .090 .344 .575 .516 .269 .108 .054 .019 .001 .098 .438 .841 .862 .483 .167 .053 .009 .002 .104 .453 .908 1.000 .584 .182 .042 .004 .006 .097 .360 .693 .779 .455 .127 .022 .001 .015 .078 .212 .352 .370 .195 .039 .003 .000 .026 .055 .088 .100 .078 .023 .000 .002 .001 .031 .032 .023 .007 .000 .009 .025 .015 .003 1646 -.188 3046 .406 8.49896 .015725 .041877 .003846 Correlation Surface at 1746 3046 .008 .037 .105 .259 .425 .405 .240 .085 .044 .007 .020 .089 .296 .461 .402 .240 .062 .026 .010 .022 .089 .345 .603 .450 .243 .066 .026 .012 .040 .094 .384 .907 .607 .244 .075 .027 .014 .055 .104 .350 1.000 .683 .238 .079 .023 .021 .057 .113 .268 .631 .504 .210 .077 .018 .027 .057 .127 .224 .299 .281 .171 .074 .020 .023 .063 .152 .245 .228 .180 .125 .070 .023 .014 .070 .191 .294 .281 .177 .103 .069 .023 r_peak,r_snr = .3748157 11.93163 Correlation Surface of oversamples image at 1746 3046 .201 .323 .462 .545 .505 .383 .251 .139 .057 .209 .355 .554 .695 .644 .457 .270 .136 .054 .209 .376 .647 .873 .823 .554 .294 .134 .051 .198 .367 .689 .999 .972 .640 .316 .132 .049 .173 .321 .639 .983 1.000 .669 .324 .131 .048 .141 .250 .503 .808 .870 .613 .308 .129 .050 .115 .181 .343 .560 .641 .491 .272 .126 .054 .100 .134 .221 .347 .420 .359 .230 .123 .057 .098 .113 .154 .217 .267 .255 .193 .119 .058 1746 .250 3046 -.219 11.93163 .002406 .008532 -.000147 Correlation Surface at 1846 3046 .198 .255 .341 .498 .573 .469 .417 .385 .260 .199 .263 .368 .532 .636 .503 .418 .398 .299 .211 .297 .420 .625 .785 .604 .455 .416 .340 .216 .347 .489 .730 .962 .722 .487 .445 .386 .207 .366 .537 .761 1.000 .753 .470 .442 .388 .202 .340 .514 .707 .871 .685 .441 .400 .327 .195 .303 .459 .639 .762 .636 .456 .384 .278 .185 .297 .444 .619 .743 .656 .489 .400 .276 .188 .304 .453 .625 .733 .667 .487 .394 .288 r_peak,r_snr = .5289859 4.22525 Correlation Surface of oversamples image at 1846 3046 .347 .439 .558 .668 .708 .659 .560 .468 .411 .380 .478 .617 .753 .801 .740 .620 .508 .434 .420 .520 .674 .834 .896 .822 .677 .540 .451 .465 .562 .719 .893 .969 .889 .717 .555 .453 .508 .598 .744 .915 1.000 .922 .731 .548 .438 .538 .624 .748 .897 .981 .910 .717 .525 .411 .544 .629 .733 .853 .924 .861 .681 .497 .386 .524 .611 .703 .799 .851 .794 .638 .475 .373 .487 .576 .665 .747 .785 .734 .604 .467 .378 1846 .031 3046 -.313 4.22525 .003110 .018272 .000183 Correlation Surface at 1946 3046 .013 .029 .078 .212 .313 .224 .075 .020 .015 .000 .006 .019 .129 .336 .258 .039 .006 .022 .001 .004 .009 .109 .442 .307 .020 .001 .023 .000 .016 .039 .228 .792 .481 .030 .000 .014 .000 .017 .064 .319 1.000 .617 .065 .003 .010 .004 .001 .025 .199 .684 .473 .070 .007 .010 .004 .005 .002 .105 .357 .253 .037 .002 .007 .001 .001 .006 .120 .270 .171 .023 .000 .001 .010 .007 .030 .155 .257 .167 .035 .000 .000 r_peak,r_snr = .2779691 23.09519 Correlation Surface of oversamples image at 1946 3046 .064 .176 .363 .520 .500 .311 .122 .032 .008 .086 .221 .462 .679 .657 .399 .146 .031 .004 .113 .276 .573 .858 .839 .508 .183 .037 .004 .132 .313 .646 .983 .977 .600 .222 .047 .005 .131 .312 .640 .985 1.000 .630 .245 .059 .009 .112 .275 .564 .869 .897 .581 .238 .064 .012 .085 .223 .455 .695 .721 .473 .197 .055 .011 .062 .178 .357 .530 .544 .354 .144 .038 .006 .050 .153 .294 .415 .415 .265 .103 .023 .002 1946 .250 3046 -.219 23.09520 .003904 .014809 -.000184 Correlation Surface at 2046 3046 .003 .004 .038 .135 .211 .174 .093 .025 .011 .011 .000 .015 .120 .240 .173 .066 .010 .006 .019 .011 .002 .144 .384 .230 .049 .003 .002 .016 .016 .003 .254 .768 .433 .062 .003 .000 .011 .010 .014 .329 1.000 .600 .094 .007 .000 .010 .004 .018 .229 .638 .406 .086 .011 .001 .008 .002 .013 .121 .253 .146 .042 .010 .000 .001 .000 .011 .095 .154 .075 .026 .009 .000 .001 .002 .018 .113 .182 .106 .038 .008 .000 r_peak,r_snr = .3909173 26.32369 Correlation Surface of oversamples image at 2046 3046 .010 .049 .139 .266 .347 .316 .207 .098 .032 .009 .060 .190 .382 .513 .469 .292 .122 .032 .012 .081 .261 .536 .736 .682 .421 .170 .043 .017 .102 .321 .665 .933 .881 .553 .230 .065 .022 .114 .340 .702 1.000 .963 .621 .273 .090 .025 .112 .312 .626 .892 .871 .578 .272 .104 .026 .098 .250 .477 .663 .646 .437 .221 .098 .022 .076 .182 .324 .426 .405 .273 .147 .077 .017 .055 .129 .216 .265 .237 .155 .087 .053 2046 .188 3046 -.031 26.32369 .001864 .005154 -.000010 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .001 .009 .006 .109 .591 .397 .102 .023 .009 .000 .003 .001 .108 .539 .401 .115 .025 .005 .001 .004 .000 .183 .679 .418 .106 .026 .008 .000 .007 .001 .276 .949 .525 .119 .025 .020 .000 .004 .003 .254 1.000 .598 .145 .033 .036 .002 .000 .001 .181 .785 .528 .142 .044 .050 .005 .000 .001 .159 .601 .417 .117 .046 .049 .012 .002 .002 .164 .499 .321 .098 .041 .034 .018 .011 .000 .166 .438 .246 .089 .040 .026 r_peak,r_snr = .2799631 9.49266 Correlation Surface of oversamples image at 146 3446 .004 .037 .161 .385 .566 .538 .357 .188 .093 .004 .050 .212 .481 .671 .615 .395 .202 .097 .003 .058 .265 .596 .811 .726 .457 .228 .106 .002 .058 .296 .687 .939 .837 .528 .264 .122 .001 .051 .293 .715 1.000 .906 .580 .297 .140 .000 .042 .264 .675 .972 .900 .590 .313 .155 .001 .035 .225 .594 .875 .824 .549 .301 .159 .002 .033 .193 .503 .749 .710 .477 .268 .150 .004 .036 .173 .429 .631 .598 .399 .225 .131 146 .125 3446 -.344 9.49266 .003369 .050831 -.002071 Correlation Surface at 246 3446 .262 .057 .164 .411 .146 .057 .554 .768 .307 .515 .302 .213 .117 .010 .013 .208 .096 .001 .348 .292 .152 .006 .150 .012 .044 .001 .039 .176 .165 .125 .106 .775 .108 .089 .054 .004 .339 .248 .191 .065 1.000 .130 .248 .217 .002 .516 .384 .257 .001 .574 .049 .397 .364 .000 .213 .160 .148 .002 .314 .002 .654 .779 .145 .013 .007 .026 .037 .260 .000 .710 1.098 .521 .064 .031 .011 .007 .049 .008 .412 .624 .454 r_peak,r_snr = 7.47977E-02 7.22503 Correlation Surface of oversamples image at 246 3446 .043 .008 .009 .061 .064 .015 .001 .011 .008 .031 .000 .066 .205 .214 .088 .009 .002 .004 .030 .003 .147 .422 .476 .252 .052 .000 .006 .045 .002 .192 .625 .799 .497 .133 .002 .015 .086 .002 .152 .671 1.000 .702 .205 .004 .034 .149 .030 .069 .542 .960 .742 .227 .002 .061 .193 .074 .015 .343 .734 .622 .201 .001 .082 .195 .097 .000 .178 .454 .411 .134 .001 .110 .155 .075 .000 .097 .252 .222 .062 .010 .166 246 .031 3446 -.313 7.22503 .014383 .160662 -.006531 Correlation Surface at 346 3446 .137 .383 .117 .034 .230 .017 .002 .071 .000 .034 .098 .016 .025 .473 .382 .071 .022 .038 .015 .002 .022 .025 .445 .807 .436 .029 .048 .056 .015 .108 .175 .601 .738 .364 .015 .003 .038 .008 .067 .586 1.000 .399 .023 .001 .016 .026 .086 .007 .552 .942 .137 .046 .044 .023 .025 .083 .179 .100 .328 .013 .123 .106 .005 .013 .048 .284 .000 .040 .007 .134 .112 .001 .000 .030 .114 .001 .006 .029 .092 .031 .000 r_peak,r_snr = 9.16854E-02 9.74661 Correlation Surface of oversamples image at 346 3446 .051 .098 .096 .088 .156 .359 .648 .888 .934 .048 .132 .183 .203 .278 .432 .584 .679 .671 .011 .105 .258 .397 .523 .598 .554 .449 .342 .005 .043 .271 .594 .819 .789 .530 .259 .106 .067 .001 .202 .665 1.000 .896 .483 .135 .010 .161 .022 .087 .527 .913 .816 .389 .062 .005 .220 .094 .009 .282 .618 .584 .263 .023 .032 .214 .168 .008 .095 .315 .329 .147 .006 .051 .173 .203 .048 .014 .121 .141 .059 .000 .059 346 -.375 3446 .594 9.74661 .112103 .412215 .174986 Correlation Surface at 446 3446 .035 .169 .312 .459 .244 .002 .005 .009 .102 .292 .313 .254 .490 .433 .106 .019 .010 .026 .259 .162 .074 .363 .591 .275 .047 .042 .018 .027 .041 .023 .269 .798 .436 .010 .002 .023 .061 .018 .079 .313 1.000 .603 .018 .006 .002 .173 .020 .233 .384 .980 .660 .071 .000 .032 .045 .034 .244 .279 .561 .501 .069 .014 .200 .029 .125 .222 .146 .169 .212 .012 .003 .271 .143 .303 .325 .168 .078 .079 .000 .000 .124 r_peak,r_snr = .1008099 9.32152 Correlation Surface of oversamples image at 446 3446 .066 .207 .502 .768 .743 .403 .082 .000 .007 .061 .187 .495 .819 .843 .502 .130 .003 .008 .084 .207 .518 .866 .926 .616 .221 .024 .001 .153 .278 .577 .916 .989 .728 .345 .082 .004 .261 .378 .643 .937 1.000 .783 .447 .159 .027 .375 .470 .685 .921 .954 .759 .473 .205 .053 .459 .514 .675 .862 .865 .664 .412 .189 .058 .474 .484 .591 .735 .716 .509 .284 .118 .032 .429 .404 .457 .552 .522 .334 .150 .041 .004 446 .344 3446 1.813 9.32152 .028923 .750150 -.016811 Correlation Surface at 546 3446 .131 .079 .089 .271 .482 .463 .353 .155 .000 .173 .097 .082 .284 .585 .554 .297 .111 .000 .218 .135 .099 .287 .685 .692 .266 .032 .014 .155 .127 .164 .378 .828 .759 .266 .010 .051 .051 .085 .238 .521 1.000 .716 .217 .005 .068 .009 .053 .227 .525 .971 .604 .132 .000 .074 .006 .035 .147 .381 .681 .433 .056 .004 .056 .026 .033 .099 .249 .351 .221 .015 .010 .014 .080 .061 .090 .178 .174 .091 .005 .002 .001 r_peak,r_snr = .1974678 7.83568 Correlation Surface of oversamples image at 546 3446 .125 .255 .423 .562 .636 .666 .663 .624 .518 .109 .245 .462 .676 .792 .801 .736 .634 .497 .090 .215 .459 .746 .916 .912 .773 .583 .399 .083 .189 .436 .769 .989 .987 .791 .517 .288 .087 .178 .418 .765 1.000 .997 .777 .455 .201 .106 .194 .432 .768 .968 .937 .720 .401 .148 .138 .235 .482 .793 .924 .837 .626 .346 .116 .176 .287 .546 .835 .890 .733 .515 .281 .090 .213 .336 .608 .889 .890 .668 .425 .218 .064 546 .719 3446 -2.875 7.83568 .019919 .229511 .032686 Correlation Surface at 646 3446 .005 .005 .007 .019 .107 .179 .081 .032 .084 .008 .001 .001 .023 .192 .272 .120 .028 .051 .003 .002 .014 .123 .462 .387 .172 .043 .023 .006 .003 .057 .333 .877 .563 .324 .130 .009 .022 .001 .073 .377 1.000 .660 .479 .252 .010 .023 .007 .067 .246 .695 .455 .310 .226 .018 .009 .027 .068 .169 .419 .204 .075 .103 .015 .007 .015 .043 .141 .327 .135 .011 .036 .008 .006 .000 .013 .106 .288 .147 .003 .011 .003 r_peak,r_snr = .1996568 17.20374 Correlation Surface of oversamples image at 646 3446 .015 .033 .106 .256 .403 .437 .347 .213 .098 .022 .056 .166 .375 .560 .566 .421 .253 .124 .033 .089 .249 .529 .751 .721 .514 .311 .169 .044 .123 .328 .670 .923 .865 .614 .387 .235 .050 .139 .362 .730 1.000 .939 .677 .449 .303 .049 .133 .343 .693 .960 .914 .674 .464 .341 .047 .116 .294 .595 .833 .803 .594 .412 .321 .044 .098 .237 .477 .666 .636 .454 .302 .244 .043 .084 .192 .376 .512 .468 .305 .181 .148 646 .156 3446 -.406 17.20375 .009369 .045752 -.000125 Correlation Surface at 746 3446 .169 .185 .284 .532 .718 .528 .275 .164 .107 .138 .157 .276 .537 .717 .520 .283 .162 .109 .133 .144 .279 .592 .759 .518 .294 .162 .101 .140 .156 .303 .688 .907 .579 .302 .163 .097 .126 .162 .324 .727 1.000 .626 .297 .166 .105 .105 .146 .313 .664 .917 .590 .272 .164 .116 .108 .127 .285 .609 .804 .541 .258 .163 .123 .117 .118 .263 .591 .742 .507 .256 .170 .130 .109 .121 .259 .570 .699 .460 .236 .171 .136 r_peak,r_snr = .6201579 4.74967 Correlation Surface of oversamples image at 746 3446 .246 .389 .581 .750 .800 .715 .568 .426 .312 .251 .405 .615 .804 .863 .765 .595 .438 .319 .263 .424 .649 .861 .935 .828 .633 .454 .327 .276 .438 .669 .899 .989 .879 .665 .468 .332 .286 .442 .667 .899 1.000 .896 .675 .469 .330 .288 .436 .647 .868 .971 .878 .664 .460 .322 .284 .427 .624 .829 .927 .846 .646 .448 .314 .275 .420 .611 .803 .895 .822 .635 .444 .312 .265 .415 .609 .794 .882 .814 .636 .450 .318 746 .000 3446 -1.156 4.74967 .001204 .009004 -.000161 Correlation Surface at 846 3446 .002 .119 .009 .000 .035 .119 .046 .000 .216 .088 .037 .021 .010 .002 .001 .326 .454 .208 .003 .032 .018 .000 .400 .924 .324 .014 .136 .034 .016 .306 1.000 .369 .027 .165 .129 .108 .246 .784 .447 .001 .078 .209 .256 .279 .590 .519 .119 .000 .056 .285 .293 .495 .603 .308 .066 .026 .255 .276 .445 .728 .386 .152 .183 r_peak,r_snr = 9.72529E-02 7.43837 Correlation Surface of oversamples image at 846 3446 .003 .077 .244 .308 .259 .161 .068 .015 .000 .001 .081 .297 .469 .495 .348 .129 .008 .019 .001 .085 .332 .624 .758 .575 .205 .006 .054 .010 .089 .338 .714 .949 .767 .287 .009 .072 .037 .103 .335 .727 1.000 .851 .357 .022 .059 .083 .134 .343 .690 .920 .799 .385 .047 .027 .137 .177 .360 .627 .765 .650 .361 .081 .003 .185 .221 .373 .557 .604 .495 .318 .119 .004 .216 .248 .363 .486 .483 .393 .293 .162 .033 846 -12.906 3446 3.938 7.43837 .023642 .507006 -.041529 Correlation Surface at 946 3446 .015 .013 .001 .005 .099 .272 .173 .067 .032 .079 .066 .003 .024 .221 .232 .188 .146 .058 .181 .170 .026 .081 .509 .303 .140 .110 .042 .200 .183 .035 .166 .866 .493 .126 .047 .007 .147 .092 .023 .243 1.000 .575 .129 .020 .004 .091 .029 .014 .240 .769 .409 .094 .011 .020 .041 .009 .007 .155 .431 .215 .066 .025 .007 .003 .001 .004 .086 .203 .143 .103 .095 .007 .003 .004 .001 .049 .080 .125 .163 .156 .042 r_peak,r_snr = .2020271 20.50254 Correlation Surface of oversamples image at 946 3446 .011 .048 .179 .342 .379 .291 .199 .141 .112 .025 .084 .280 .512 .536 .373 .217 .130 .091 .041 .125 .387 .698 .730 .500 .271 .139 .077 .057 .168 .481 .853 .906 .636 .344 .164 .074 .071 .207 .545 .936 1.000 .720 .400 .189 .076 .077 .231 .567 .925 .973 .702 .397 .190 .075 .075 .231 .535 .826 .837 .585 .325 .157 .065 .065 .206 .458 .672 .646 .426 .224 .108 .050 .055 .168 .361 .507 .461 .285 .142 .070 .039 946 .313 3446 -.344 20.50255 .006188 .062403 .003651 Correlation Surface at 1046 3446 .021 .003 .004 .067 .345 .199 .059 .037 .031 .016 .019 .018 .072 .412 .225 .053 .019 .014 .011 .017 .024 .101 .490 .240 .046 .009 .003 .002 .006 .004 .235 .787 .308 .040 .009 .001 .002 .000 .004 .348 1.000 .330 .027 .014 .003 .007 .004 .030 .289 .729 .218 .012 .015 .004 .008 .022 .069 .186 .343 .105 .011 .015 .002 .019 .014 .077 .133 .154 .072 .046 .032 .001 .042 .001 .031 .111 .094 .059 .083 .050 .001 r_peak,r_snr = .2338038 24.06676 Correlation Surface of oversamples image at 1046 3446 .021 .001 .085 .279 .419 .378 .236 .116 .056 .011 .008 .142 .401 .559 .474 .276 .125 .055 .003 .025 .223 .569 .756 .610 .333 .138 .056 .000 .048 .299 .719 .933 .732 .375 .142 .053 .002 .070 .341 .778 1.000 .770 .373 .126 .043 .009 .088 .338 .724 .920 .698 .319 .096 .030 .024 .101 .297 .583 .727 .543 .235 .063 .018 .049 .115 .248 .426 .511 .379 .162 .042 .013 .082 .131 .208 .300 .337 .257 .119 .038 .018 1046 .000 3446 -.031 24.06676 .003859 .026018 .001358 Correlation Surface at 1146 3446 .004 .062 .143 .004 .086 .164 .117 .063 .001 .005 .027 .040 .010 .118 .146 .094 .050 .004 .000 .042 .009 .114 .231 .114 .048 .009 .001 .004 .087 .005 .359 .620 .102 .004 .005 .007 .002 .085 .004 .489 1.000 .124 .001 .039 .047 .002 .051 .009 .306 .759 .134 .000 .043 .078 .007 .027 .009 .111 .298 .081 .005 .019 .072 .010 .005 .000 .055 .082 .017 .006 .005 .043 .008 .000 .015 .058 .026 .000 .006 .001 .025 r_peak,r_snr = .1639352 23.37986 Correlation Surface of oversamples image at 1146 3446 .006 .006 .063 .157 .213 .201 .154 .115 .091 .022 .005 .109 .301 .416 .363 .227 .129 .079 .048 .001 .137 .453 .683 .599 .336 .148 .063 .068 .000 .138 .551 .918 .844 .460 .172 .053 .070 .001 .114 .544 1.000 .986 .558 .199 .049 .059 .004 .075 .437 .880 .940 .577 .218 .052 .046 .008 .037 .286 .632 .732 .500 .214 .056 .034 .010 .014 .161 .386 .478 .368 .184 .055 .024 .007 .006 .084 .209 .266 .225 .130 .045 1146 -.250 3446 .031 23.37987 .006186 .034595 -.001078 Correlation Surface at 1246 3446 .001 .002 .010 .077 .156 .091 .009 .000 .005 .007 .001 .012 .036 .092 .038 .004 .003 .017 .019 .014 .034 .066 .122 .009 .004 .001 .045 .009 .022 .077 .275 .526 .072 .022 .010 .023 .000 .013 .063 .393 1.000 .206 .026 .067 .000 .005 .011 .035 .233 .678 .141 .025 .107 .002 .004 .019 .055 .162 .274 .039 .013 .081 .000 .009 .015 .088 .223 .222 .037 .001 .038 .000 .005 .005 .073 .288 .290 .078 .000 .027 .000 r_peak,r_snr = .1701812 27.64773 Correlation Surface of oversamples image at 1246 3446 .003 .008 .025 .060 .078 .050 .012 .000 .000 .026 .045 .091 .167 .195 .115 .023 .000 .006 .073 .130 .241 .407 .464 .284 .068 .000 .013 .111 .209 .406 .695 .804 .511 .136 .003 .018 .109 .213 .453 .836 1.000 .645 .172 .003 .027 .083 .155 .360 .737 .921 .586 .143 .000 .042 .062 .096 .230 .505 .648 .394 .078 .002 .064 .061 .075 .156 .318 .386 .214 .029 .010 .081 .087 .095 .152 .241 .247 .122 .013 .011 .077 1246 -.094 3446 .094 27.64774 .006081 .019676 -.001084 Correlation Surface at 1346 3446 .090 .001 .030 .036 .136 .212 .129 .015 .010 .082 .007 .032 .034 .125 .179 .141 .022 .003 .047 .014 .044 .086 .184 .159 .126 .040 .001 .038 .009 .079 .315 .527 .272 .177 .101 .000 .035 .000 .094 .564 1.000 .482 .341 .260 .019 .017 .003 .057 .418 .812 .458 .440 .381 .086 .001 .000 .038 .228 .365 .245 .305 .273 .091 .001 .008 .045 .225 .222 .127 .156 .104 .018 .001 .010 .027 .219 .220 .107 .112 .038 .001 r_peak,r_snr = .1934546 14.43511 Correlation Surface of oversamples image at 1346 3446 .011 .037 .115 .227 .296 .253 .141 .068 .043 .014 .068 .208 .379 .449 .352 .185 .085 .053 .023 .116 .344 .601 .670 .492 .250 .117 .077 .033 .163 .468 .810 .891 .639 .326 .163 .113 .037 .182 .515 .897 1.000 .725 .384 .209 .156 .034 .171 .475 .832 .948 .710 .398 .238 .195 .029 .145 .387 .667 .774 .601 .361 .239 .213 .024 .120 .299 .489 .562 .450 .289 .209 .199 .025 .112 .249 .364 .390 .314 .213 .166 .165 1346 -.125 3446 .063 14.43511 .010616 .020809 -.000986 Correlation Surface at 1446 3446 .000 .003 .000 .044 .193 .196 .048 .035 .039 .001 .002 .000 .069 .228 .195 .052 .031 .040 .001 .001 .000 .120 .414 .265 .092 .055 .044 .003 .004 .006 .173 .824 .479 .147 .056 .031 .001 .015 .020 .157 1.000 .631 .164 .033 .011 .001 .023 .020 .099 .657 .484 .136 .027 .004 .001 .020 .011 .065 .323 .307 .131 .037 .005 .002 .018 .010 .057 .261 .301 .160 .037 .004 .006 .012 .011 .054 .333 .387 .173 .016 .000 r_peak,r_snr = .2473718 21.49174 Correlation Surface of oversamples image at 1446 3446 .000 .029 .154 .327 .403 .340 .231 .137 .063 .005 .023 .183 .444 .578 .478 .297 .163 .077 .012 .015 .201 .564 .794 .671 .402 .204 .094 .018 .009 .198 .632 .968 .859 .519 .255 .113 .018 .006 .172 .608 1.000 .945 .601 .305 .140 .014 .005 .138 .502 .869 .878 .605 .337 .175 .009 .006 .108 .369 .646 .691 .525 .338 .211 .005 .007 .085 .255 .430 .481 .407 .310 .235 .003 .009 .072 .183 .287 .327 .309 .274 .242 1446 .188 3446 -.094 21.49174 .003591 .019637 -.000800 Correlation Surface at 1546 3446 .073 .001 .072 .010 .003 .017 .041 .072 .105 .069 .001 .035 .002 .013 .086 .041 .039 .120 .056 .008 .003 .008 .105 .237 .049 .002 .040 .029 .000 .018 .125 .480 .449 .069 .002 .000 .020 .012 .102 .387 1.000 .579 .101 .006 .000 .041 .017 .123 .326 .805 .387 .077 .071 .046 .059 .013 .061 .076 .223 .139 .031 .082 .117 .025 .019 .025 .002 .018 .041 .020 .030 .057 .000 .034 .022 .002 .013 .048 .046 .012 .010 r_peak,r_snr = .1512102 17.09705 Correlation Surface of oversamples image at 1546 3446 .008 .049 .171 .314 .338 .246 .114 .023 .000 .027 .101 .299 .517 .537 .380 .176 .037 .000 .078 .192 .465 .755 .778 .551 .269 .075 .007 .158 .300 .611 .943 .971 .697 .364 .139 .039 .231 .367 .653 .967 1.000 .726 .408 .202 .104 .255 .354 .556 .795 .830 .615 .371 .224 .168 .221 .266 .372 .513 .552 .431 .280 .196 .192 .153 .154 .189 .251 .291 .259 .188 .148 .178 .091 .068 .068 .088 .122 .141 .123 .108 .146 1546 .281 3446 .313 17.09706 .015260 .030740 .004981 Correlation Surface at 1646 3446 .007 .007 .003 .017 .135 .174 .037 .008 .010 .025 .004 .014 .049 .142 .119 .021 .011 .000 .026 .003 .026 .138 .298 .134 .010 .016 .001 .007 .009 .051 .239 .675 .258 .012 .026 .000 .001 .013 .072 .279 1.000 .429 .023 .013 .005 .001 .004 .054 .254 .870 .467 .020 .001 .027 .002 .001 .034 .203 .487 .298 .010 .011 .030 .000 .003 .029 .150 .254 .145 .011 .000 .005 .001 .005 .016 .097 .177 .078 .022 .009 .000 r_peak,r_snr = .1769607 24.98233 Correlation Surface of oversamples image at 1646 3446 .006 .043 .113 .219 .287 .222 .093 .017 .001 .006 .046 .148 .339 .489 .390 .161 .032 .005 .005 .047 .182 .465 .718 .601 .260 .060 .014 .004 .048 .213 .570 .909 .798 .372 .100 .028 .003 .056 .250 .640 1.000 .910 .461 .140 .040 .005 .073 .290 .656 .956 .877 .474 .155 .041 .011 .102 .328 .623 .813 .720 .399 .133 .030 .027 .144 .364 .573 .644 .523 .282 .090 .015 .049 .183 .380 .507 .487 .344 .167 .047 .005 1646 .156 3446 .594 24.98234 .006931 .053757 -.003306 Correlation Surface at 1746 3446 .002 .001 .026 .067 .031 .075 .039 .003 .032 .000 .012 .008 .043 .011 .039 .036 .027 .127 .007 .049 .000 .130 .172 .154 .082 .117 .261 .010 .044 .008 .566 .836 .439 .139 .166 .303 .001 .000 .036 .799 1.000 .450 .106 .070 .182 .059 .036 .036 .320 .304 .190 .059 .008 .052 .085 .039 .039 .076 .021 .067 .071 .010 .034 .030 .016 .091 .110 .020 .077 .132 .067 .126 .036 .039 .120 .149 .071 .111 .184 .156 .227 r_peak,r_snr = .1674341 10.2595 Correlation Surface of oversamples image at 1746 3446 .002 .018 .053 .088 .089 .075 .077 .077 .058 .000 .012 .066 .156 .206 .196 .176 .145 .096 .000 .015 .117 .314 .448 .432 .350 .248 .144 .000 .031 .215 .553 .770 .721 .543 .348 .184 .001 .058 .324 .758 1.000 .900 .646 .392 .195 .010 .084 .367 .783 .966 .831 .584 .351 .173 .025 .088 .308 .597 .681 .551 .386 .246 .130 .038 .075 .201 .344 .348 .251 .178 .135 .087 .047 .063 .123 .170 .137 .077 .058 .065 .061 1746 .563 3446 -.313 10.25950 .021503 .015131 .000635 Correlation Surface at 1846 3446 .023 .062 .171 .383 .594 .586 .413 .243 .152 .020 .061 .164 .405 .636 .596 .430 .261 .173 .018 .061 .170 .455 .777 .660 .423 .272 .193 .019 .058 .178 .521 .984 .800 .421 .247 .173 .021 .049 .158 .512 1.000 .828 .407 .204 .129 .022 .046 .139 .410 .744 .640 .359 .180 .103 .024 .055 .138 .315 .493 .440 .309 .189 .107 .028 .062 .135 .269 .387 .352 .299 .215 .123 .033 .058 .117 .238 .363 .343 .309 .241 .135 r_peak,r_snr = .5844837 7.48833 Correlation Surface of oversamples image at 1846 3446 .168 .260 .400 .569 .686 .710 .673 .609 .539 .182 .281 .436 .633 .773 .792 .732 .644 .557 .189 .298 .480 .716 .882 .892 .802 .682 .570 .185 .307 .515 .786 .970 .970 .854 .706 .572 .173 .302 .527 .813 1.000 .992 .862 .703 .560 .162 .291 .514 .789 .963 .953 .830 .679 .541 .155 .276 .479 .717 .863 .855 .756 .632 .513 .148 .257 .428 .618 .729 .724 .653 .563 .473 .140 .234 .373 .520 .601 .597 .550 .491 .432 1846 .219 3446 -.063 7.48833 .001367 .005295 .000056 Correlation Surface at 1946 3446 .007 .005 .004 .127 .308 .186 .113 .066 .066 .006 .004 .001 .111 .346 .199 .079 .048 .061 .001 .002 .001 .141 .479 .258 .085 .057 .064 .001 .002 .006 .237 .764 .427 .135 .108 .098 .011 .007 .014 .330 1.000 .646 .228 .188 .150 .029 .028 .005 .280 .863 .678 .299 .215 .168 .028 .044 .000 .167 .540 .487 .253 .156 .129 .012 .034 .001 .130 .362 .295 .162 .124 .099 .004 .025 .000 .165 .355 .220 .124 .122 .075 r_peak,r_snr = .2492128 12.65656 Correlation Surface of oversamples image at 1946 3446 .000 .017 .122 .337 .508 .458 .265 .105 .032 .000 .028 .174 .458 .677 .605 .348 .140 .047 .000 .043 .238 .594 .862 .775 .455 .194 .076 .000 .055 .291 .694 .989 .903 .552 .254 .114 .000 .056 .308 .712 1.000 .931 .599 .299 .148 .003 .045 .280 .643 .897 .855 .581 .311 .163 .008 .031 .228 .532 .743 .723 .516 .292 .154 .011 .020 .177 .421 .593 .584 .429 .248 .129 .011 .015 .139 .335 .471 .462 .336 .191 .095 1946 .156 3446 -.688 12.65657 .005369 .036662 -.002353 Correlation Surface at 2046 3446 .022 .030 .035 .054 .048 .084 .073 .033 .078 .001 .003 .042 .080 .038 .020 .018 .025 .072 .004 .000 .107 .257 .187 .029 .005 .028 .023 .004 .002 .149 .522 .726 .175 .011 .045 .011 .005 .004 .076 .448 1.000 .336 .029 .055 .022 .008 .007 .011 .149 .472 .202 .030 .029 .011 .002 .004 .000 .020 .091 .075 .024 .013 .000 .000 .001 .000 .003 .018 .062 .056 .033 .001 .000 .001 .001 .001 .011 .058 .094 .073 .015 r_peak,r_snr = .1897812 14.67749 Correlation Surface of oversamples image at 2046 3446 .204 .319 .401 .426 .336 .172 .066 .035 .038 .184 .333 .489 .607 .536 .285 .095 .036 .036 .156 .317 .542 .782 .778 .448 .149 .043 .034 .124 .275 .539 .880 .966 .607 .213 .055 .033 .093 .222 .485 .855 1.000 .676 .259 .069 .034 .067 .167 .394 .720 .866 .618 .262 .080 .038 .043 .116 .285 .525 .630 .464 .219 .081 .042 .024 .071 .183 .337 .400 .300 .160 .076 .045 .012 .039 .109 .205 .244 .189 .119 .074 .050 2046 -.125 3446 -.188 14.67749 .007149 .015829 -.002739 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .001 .055 .486 .587 .337 .378 .687 .619 .163 .002 .075 .508 .624 .386 .304 .449 .545 .252 .049 .127 .447 .619 .555 .377 .302 .384 .339 .106 .159 .350 .626 .845 .639 .331 .268 .298 .079 .139 .231 .557 1.000 .922 .468 .234 .216 .047 .101 .144 .365 .808 .915 .493 .234 .186 .050 .074 .104 .227 .545 .703 .356 .210 .138 .051 .045 .096 .186 .392 .523 .234 .168 .071 .014 .024 .100 .174 .296 .436 .194 .131 .047 r_peak,r_snr = .2143239 7.35936 Correlation Surface of oversamples image at 146 3846 .326 .378 .445 .512 .532 .490 .432 .416 .451 .295 .366 .482 .617 .677 .607 .476 .391 .386 .284 .375 .533 .729 .839 .762 .573 .422 .365 .276 .388 .575 .813 .965 .906 .697 .493 .376 .251 .375 .575 .826 1.000 .980 .793 .561 .391 .205 .325 .518 .759 .939 .959 .812 .579 .384 .146 .248 .421 .643 .823 .865 .745 .530 .345 .097 .179 .330 .533 .710 .751 .631 .439 .290 .068 .138 .271 .461 .634 .661 .524 .349 .238 146 .719 3846 .000 7.35936 .038620 .084038 -.035182 Correlation Surface at 246 3846 .123 .194 .230 .487 .806 .135 .071 .157 .568 .804 .105 .020 .176 .659 .737 .063 .015 .151 .629 .954 .108 .050 .126 .448 1.000 .184 .139 .109 .207 .676 .095 .142 .099 .126 .471 .013 .061 .085 .113 .306 .017 .041 .061 .026 .041 r_peak,r_snr = 9.21966E-02 6.15952 Correlation Surface of oversamples image at 246 3846 .152 .245 .404 .596 .765 .828 .734 .493 .194 .091 .214 .444 .680 .809 .788 .630 .384 .124 .066 .209 .503 .778 .869 .769 .555 .301 .076 .062 .212 .546 .861 .949 .811 .557 .279 .057 .074 .207 .530 .868 1.000 .892 .633 .316 .063 .098 .202 .463 .775 .963 .952 .744 .398 .093 .132 .197 .369 .599 .804 .909 .818 .490 .140 .168 .190 .273 .403 .567 .748 .802 .553 .195 .206 .191 .206 .253 .359 .559 .727 .589 .256 246 13.469 3846 -2.594 6.15952 .115288 .534513 -.189010 Correlation Surface at 346 3846 .256 .392 .497 .565 .143 .012 .094 .000 .016 .044 .377 .597 .512 .077 .002 .054 .006 .133 .000 .318 .899 .675 .136 .000 .076 .002 .112 .003 .246 .954 .956 .598 .138 .188 .045 .065 .021 .126 .455 .655 1.000 .462 .232 .097 .042 .008 .038 .167 .328 .600 .321 .106 .097 .007 .009 .012 .263 .519 .249 .064 .026 .087 .001 .045 .013 .516 .994 .205 .010 .028 .092 .001 .035 .018 .507 .929 .187 .005 .028 .026 .032 r_peak,r_snr = 9.80241E-02 7.64596 Correlation Surface of oversamples image at 346 3846 .408 .557 .977 1.318 1.296 .940 .498 .233 .105 .455 .645 1.257 1.942 2.073 1.455 .654 .244 .117 .482 .716 1.441 2.392 2.750 2.049 .977 .381 .195 .606 .925 1.741 2.843 3.388 2.770 1.565 .747 .432 346 .031 3846 10.844 7.64596 .063617 .078328 -.037505 Correlation Surface at 446 3846 .284 .053 .070 .092 .013 .020 .002 .150 .415 .043 .000 .023 .012 .123 .205 .048 .243 .208 .140 .073 .022 .002 .419 .546 .060 .005 .069 .562 .099 .035 .007 .723 .688 .013 .151 .639 .361 .009 .040 .029 1.000 .602 .002 .180 .350 .001 .038 .037 .000 .633 .462 .004 .012 .000 .081 .081 .061 .063 .067 .187 .006 .015 .106 .018 .021 .102 .133 .031 .004 .119 .005 .065 .001 .021 .111 .081 .049 .173 .428 .033 .005 r_peak,r_snr = 7.66124E-02 7.94044 Correlation Surface of oversamples image at 446 3846 .041 .038 .002 .099 .159 .103 .049 .035 .076 .030 .019 .027 .275 .430 .318 .189 .150 .214 .043 .018 .049 .436 .724 .580 .342 .229 .241 .076 .027 .057 .525 .924 .769 .424 .219 .150 .099 .024 .072 .575 1.000 .828 .414 .155 .051 .090 .008 .119 .629 .984 .766 .340 .085 .005 .058 .000 .197 .690 .919 .652 .255 .041 .001 .025 .011 .259 .705 .825 .532 .188 .021 .002 .005 .021 .238 .606 .683 .426 .147 .017 .000 446 -9.406 3846 -10.406 7.94044 .021575 .158686 .003524 Correlation Surface at 546 3846 .486 .560 .716 .795 .838 .823 .791 .669 .469 .560 .624 .715 .792 .842 .814 .760 .618 .492 .656 .710 .751 .838 .898 .825 .732 .589 .493 .686 .729 .759 .894 .978 .861 .729 .594 .474 .625 .678 .696 .864 1.000 .879 .724 .592 .457 .557 .631 .634 .757 .919 .825 .678 .556 .442 .548 .639 .620 .664 .797 .735 .616 .531 .452 .598 .709 .667 .654 .744 .713 .626 .563 .508 .672 .807 .764 .720 .781 .767 .705 .637 .565 r_peak,r_snr = .4422993 2.28257 Correlation Surface of oversamples image at 546 3846 .722 .772 .823 .856 .862 .844 .820 .799 .766 .728 .787 .854 .901 .910 .885 .847 .808 .764 .720 .786 .872 .937 .955 .929 .878 .820 .765 .698 .767 .869 .955 .988 .964 .904 .829 .761 .669 .737 .847 .951 1.000 .981 .915 .828 .749 .643 .702 .809 .923 .987 .974 .905 .812 .728 .625 .670 .763 .875 .947 .941 .874 .782 .696 .618 .645 .718 .818 .892 .893 .832 .745 .660 .620 .629 .681 .765 .834 .843 .791 .710 .628 546 .094 3846 .063 2.28257 .017118 .087478 -.012067 Correlation Surface at 646 3846 .388 .527 .562 .650 .722 .682 .579 .468 .449 .414 .572 .614 .705 .763 .702 .559 .449 .433 .391 .540 .621 .765 .832 .721 .560 .497 .490 .352 .467 .586 .821 .928 .743 .597 .586 .574 .349 .437 .564 .866 1.000 .749 .622 .648 .635 .395 .472 .547 .820 .961 .733 .611 .638 .631 .461 .547 .554 .715 .841 .713 .618 .597 .589 .483 .584 .599 .682 .787 .740 .658 .579 .570 .440 .525 .615 .725 .814 .778 .694 .583 .577 r_peak,r_snr = .4597928 2.22415 Correlation Surface of oversamples image at 646 3846 .506 .578 .675 .780 .839 .810 .714 .611 .539 .517 .609 .724 .838 .894 .848 .735 .625 .555 .531 .646 .781 .904 .949 .880 .747 .632 .568 .546 .677 .829 .958 .990 .898 .747 .629 .574 .556 .691 .848 .977 1.000 .898 .740 .620 .573 .554 .678 .826 .948 .972 .877 .728 .614 .570 .542 .645 .773 .884 .915 .844 .717 .613 .570 .527 .603 .709 .811 .855 .813 .712 .620 .575 .511 .567 .653 .748 .807 .794 .720 .639 .587 646 -.156 3846 .406 2.22415 .006861 .063016 .000525 Correlation Surface at 746 3846 .138 .226 .410 .584 .693 .536 .347 .308 .388 .160 .231 .430 .633 .749 .592 .363 .329 .422 .147 .210 .446 .735 .854 .667 .412 .370 .452 .108 .168 .447 .814 .958 .740 .450 .382 .431 .077 .129 .423 .814 1.000 .743 .430 .342 .377 .066 .103 .358 .747 .976 .701 .377 .276 .313 .073 .094 .279 .662 .939 .685 .330 .206 .235 .087 .095 .232 .609 .916 .695 .306 .154 .166 .100 .102 .230 .612 .909 .688 .309 .145 .149 r_peak,r_snr = .487618 3.20889 Correlation Surface of oversamples image at 746 3846 .289 .510 .725 .835 .805 .677 .525 .395 .299 .301 .548 .793 .923 .892 .744 .567 .418 .311 .311 .571 .830 .977 .952 .796 .602 .435 .316 .314 .575 .836 .998 .987 .829 .621 .440 .312 .309 .564 .822 .995 1.000 .844 .624 .431 .297 .293 .536 .791 .976 .997 .844 .615 .412 .275 .266 .493 .745 .942 .979 .832 .599 .391 .251 .231 .441 .690 .898 .952 .816 .586 .376 .233 .195 .385 .633 .851 .920 .803 .583 .371 .221 746 -.250 3846 -1.063 3.20889 .004647 .138665 -.002542 Correlation Surface at 846 3846 .117 .195 .047 .100 .664 .358 .007 .005 .022 .149 .154 .054 .085 .822 .465 .004 .056 .004 .129 .099 .037 .096 .887 .571 .023 .069 .046 .040 .056 .022 .130 .959 .690 .096 .012 .020 .000 .039 .024 .146 1.000 .715 .119 .000 .000 .002 .018 .006 .145 .814 .530 .071 .000 .000 .000 .006 .002 .116 .429 .305 .080 .001 .013 .004 .012 .002 .051 .166 .182 .127 .007 .042 .007 .040 .003 .016 .122 .139 .094 .010 .010 r_peak,r_snr = .1456734 14.44318 Correlation Surface of oversamples image at 846 3846 .002 .039 .191 .516 .773 .656 .319 .073 .000 .010 .065 .236 .582 .873 .768 .406 .121 .009 .019 .085 .271 .634 .943 .847 .480 .176 .031 .020 .086 .282 .661 .994 .913 .540 .223 .057 .012 .066 .257 .644 1.000 .940 .558 .235 .069 .004 .044 .220 .601 .971 .930 .543 .218 .065 .002 .033 .191 .547 .904 .879 .509 .191 .053 .001 .028 .161 .455 .751 .745 .439 .159 .041 .003 .030 .131 .333 .534 .545 .345 .138 .039 846 .188 3846 -.625 14.44318 .011407 .330329 .014928 Correlation Surface at 946 3846 .000 .029 .023 .000 .086 .081 .000 .000 .004 .004 .021 .009 .020 .165 .063 .004 .011 .001 .035 .036 .010 .076 .423 .144 .001 .000 .001 .100 .091 .045 .137 .830 .321 .023 .008 .003 .127 .103 .085 .150 1.000 .433 .034 .005 .001 .080 .033 .036 .153 .696 .245 .025 .003 .000 .021 .000 .000 .129 .343 .036 .007 .019 .001 .005 .006 .002 .076 .231 .003 .000 .038 .000 .004 .001 .000 .037 .210 .020 .000 .033 .001 r_peak,r_snr = .1570943 17.53981 Correlation Surface of oversamples image at 946 3846 .025 .076 .145 .205 .200 .125 .038 .000 .029 .026 .109 .240 .357 .342 .199 .061 .004 .007 .019 .127 .332 .546 .563 .346 .120 .020 .000 .008 .118 .383 .717 .821 .562 .227 .054 .008 .001 .090 .377 .798 1.000 .753 .347 .095 .017 .000 .063 .328 .753 .992 .799 .407 .122 .018 .000 .049 .266 .605 .790 .652 .356 .113 .013 .000 .048 .206 .415 .496 .390 .215 .069 .005 .006 .054 .157 .252 .245 .157 .075 .019 .000 946 .000 3846 -.281 17.53982 .006649 .064708 .001955 Correlation Surface at 1046 3846 .037 .020 .040 .148 .175 .057 .057 .150 .240 .031 .009 .040 .257 .340 .153 .118 .201 .231 .010 .003 .044 .404 .692 .368 .153 .156 .156 .002 .001 .017 .364 .936 .524 .092 .077 .133 .000 .000 .000 .233 1.000 .512 .021 .033 .168 .000 .000 .000 .168 .977 .450 .002 .016 .150 .004 .002 .002 .122 .733 .415 .004 .011 .077 .013 .005 .001 .070 .363 .301 .013 .013 .039 .011 .004 .001 .053 .166 .141 .012 .015 .043 r_peak,r_snr = .1944593 17.94295 Correlation Surface of oversamples image at 1046 3846 .086 .252 .520 .771 .837 .677 .413 .204 .113 .043 .171 .441 .766 .930 .800 .485 .209 .086 .010 .090 .333 .713 .973 .868 .503 .184 .053 .000 .037 .238 .651 .988 .891 .477 .141 .025 .002 .015 .177 .602 1.000 .909 .453 .107 .009 .003 .008 .139 .546 .981 .920 .447 .092 .003 .002 .008 .114 .469 .906 .904 .466 .102 .003 .000 .010 .092 .368 .760 .833 .489 .134 .009 .000 .010 .064 .247 .543 .666 .456 .160 .021 1046 .188 3846 -.281 17.94295 .008308 1.213323 -.055472 Correlation Surface at 1146 3846 .056 .008 .002 .012 .076 .053 .015 .002 .000 .009 .023 .043 .106 .237 .153 .068 .008 .008 .000 .021 .094 .347 .577 .229 .094 .031 .000 .001 .009 .085 .487 .993 .334 .094 .046 .003 .000 .004 .048 .400 1.000 .363 .080 .035 .009 .032 .014 .017 .195 .454 .198 .075 .045 .033 .091 .038 .002 .045 .071 .058 .090 .085 .067 .039 .016 .001 .003 .005 .021 .085 .087 .051 .000 .003 .012 .000 .006 .015 .048 .055 .017 r_peak,r_snr = .173331 26.91568 Correlation Surface of oversamples image at 1146 3846 .116 .127 .151 .195 .237 .226 .170 .121 .084 .163 .199 .258 .337 .383 .332 .221 .143 .100 .180 .244 .358 .511 .600 .502 .301 .168 .110 .161 .246 .411 .666 .839 .707 .397 .190 .107 .115 .206 .400 .736 1.000 .864 .470 .198 .096 .062 .141 .326 .674 .986 .887 .484 .192 .084 .024 .077 .220 .505 .791 .751 .429 .177 .083 .007 .035 .123 .307 .511 .516 .322 .156 .092 .001 .013 .057 .152 .265 .284 .203 .132 .109 1146 .125 3846 -.250 26.91569 .007874 .032919 -.001789 Correlation Surface at 1246 3846 .019 .034 .024 .003 .012 .008 .002 .007 .003 .038 .040 .009 .001 .016 .006 .010 .007 .008 .018 .044 .028 .056 .139 .028 .016 .010 .017 .000 .022 .086 .338 .679 .139 .009 .011 .009 .005 .002 .074 .417 1.000 .265 .000 .003 .005 .002 .000 .016 .161 .544 .210 .003 .001 .009 .000 .002 .006 .057 .202 .102 .012 .004 .008 .000 .012 .037 .102 .159 .054 .013 .006 .003 .001 .009 .072 .184 .189 .038 .008 .009 .000 r_peak,r_snr = .2019755 33.61235 Correlation Surface of oversamples image at 1246 3846 .016 .030 .068 .142 .200 .155 .050 .001 .010 .032 .078 .175 .326 .411 .296 .097 .004 .009 .057 .144 .321 .580 .710 .503 .172 .013 .006 .076 .194 .424 .774 .963 .697 .254 .029 .002 .077 .194 .418 .778 1.000 .757 .300 .046 .000 .060 .149 .320 .605 .803 .641 .284 .058 .002 .038 .093 .200 .383 .516 .431 .215 .059 .007 .025 .057 .120 .225 .298 .253 .140 .049 .011 .025 .047 .091 .158 .194 .158 .091 .037 .011 1246 .000 3846 -.188 33.61235 .005158 .014697 -.001576 Correlation Surface at 1346 3846 .000 .006 .034 .205 .336 .171 .035 .006 .003 .002 .007 .028 .243 .419 .143 .021 .013 .009 .000 .000 .011 .310 .604 .187 .019 .013 .010 .004 .018 .001 .382 .924 .357 .035 .005 .007 .011 .029 .000 .313 1.000 .521 .065 .001 .003 .015 .020 .000 .156 .614 .434 .072 .000 .000 .017 .019 .000 .083 .296 .253 .057 .000 .004 .019 .027 .002 .065 .214 .190 .067 .001 .004 .026 .036 .007 .045 .225 .221 .107 .014 .000 r_peak,r_snr = .2940741 15.98873 Correlation Surface of oversamples image at 1346 3846 .091 .223 .416 .569 .545 .363 .171 .055 .014 .066 .211 .448 .658 .658 .452 .220 .074 .019 .039 .190 .469 .746 .795 .583 .304 .112 .029 .018 .158 .462 .804 .927 .735 .412 .163 .045 .006 .120 .416 .797 1.000 .856 .511 .215 .062 .001 .080 .334 .705 .961 .883 .557 .245 .073 .000 .048 .238 .548 .805 .789 .520 .235 .072 .000 .028 .155 .380 .593 .614 .420 .191 .056 .000 .019 .102 .251 .406 .441 .312 .142 .039 1346 .063 3846 -.344 15.98874 .003225 .016254 -.001993 Correlation Surface at 1446 3846 .006 .039 .010 .053 .480 .351 .103 .041 .002 .007 .020 .000 .109 .638 .352 .044 .019 .004 .000 .011 .004 .165 .594 .232 .018 .006 .021 .005 .020 .001 .173 .747 .276 .009 .001 .028 .056 .069 .003 .212 1.000 .463 .011 .015 .030 .172 .102 .002 .231 .777 .451 .026 .007 .023 .173 .074 .014 .138 .276 .184 .029 .000 .012 .082 .062 .011 .060 .050 .014 .002 .000 .009 .043 .057 .008 .041 .012 .003 .009 .000 .003 r_peak,r_snr = .1421567 18.20562 Correlation Surface of oversamples image at 1446 3846 .029 .076 .201 .415 .571 .455 .174 .023 .000 .012 .056 .202 .471 .683 .565 .227 .029 .000 .003 .049 .225 .561 .839 .725 .319 .048 .000 .003 .061 .275 .659 .973 .863 .414 .080 .000 .008 .095 .332 .710 1.000 .895 .468 .117 .004 .022 .133 .352 .656 .869 .776 .438 .137 .013 .040 .151 .316 .510 .626 .547 .326 .123 .021 .051 .142 .245 .343 .376 .306 .182 .077 .018 .048 .115 .172 .206 .188 .126 .062 .024 .006 1446 .125 3846 .344 18.20563 .009517 .080819 -.002409 Correlation Surface at 1546 3846 .011 .044 .146 .339 .465 .331 .179 .194 .235 .027 .049 .137 .365 .528 .369 .187 .149 .203 .042 .055 .122 .395 .683 .490 .231 .151 .195 .040 .060 .121 .454 .928 .696 .323 .189 .194 .039 .075 .139 .492 1.000 .780 .404 .213 .169 .054 .100 .160 .417 .760 .622 .392 .179 .122 .073 .113 .154 .290 .480 .414 .308 .123 .076 .075 .100 .121 .220 .327 .299 .254 .107 .063 .059 .067 .088 .199 .255 .238 .241 .130 .082 r_peak,r_snr = .2973387 6.77103 Correlation Surface of oversamples image at 1546 3846 .137 .226 .387 .570 .636 .530 .357 .229 .154 .121 .215 .395 .617 .731 .643 .453 .297 .198 .114 .212 .413 .676 .839 .775 .564 .371 .246 .116 .221 .439 .736 .940 .899 .671 .443 .292 .128 .236 .466 .780 1.000 .972 .742 .496 .327 .146 .255 .482 .787 .995 .968 .754 .519 .346 .165 .269 .478 .751 .927 .894 .711 .508 .345 .177 .269 .449 .675 .811 .774 .625 .464 .322 .175 .251 .396 .576 .679 .640 .520 .400 .289 1546 .188 3846 -.281 6.77103 .006729 .032109 .000449 Correlation Surface at 1646 3846 .019 .023 .024 .042 .197 .139 .068 .057 .021 .012 .132 .058 .009 .147 .144 .073 .070 .027 .152 .378 .120 .023 .233 .223 .083 .014 .005 .251 .410 .109 .126 .565 .527 .312 .041 .000 .163 .138 .016 .259 1.000 .835 .658 .284 .003 .036 .000 .006 .190 .872 .650 .489 .501 .028 .001 .076 .037 .051 .306 .176 .199 .393 .066 .015 .127 .063 .012 .048 .015 .101 .245 .099 .000 .013 .045 .015 .016 .017 .081 .114 .064 r_peak,r_snr = .1127976 7.78481 Correlation Surface of oversamples image at 1646 3846 .078 .001 .047 .182 .265 .218 .111 .021 .000 .098 .000 .102 .307 .431 .370 .206 .044 .002 .104 .006 .189 .482 .650 .586 .375 .123 .001 .096 .012 .271 .658 .866 .793 .554 .255 .032 .077 .012 .299 .760 1.000 .903 .647 .368 .111 .055 .007 .255 .719 .962 .846 .591 .370 .179 .038 .002 .173 .550 .744 .631 .414 .263 .172 .022 .000 .104 .346 .456 .371 .231 .144 .123 .009 .000 .057 .169 .203 .163 .105 .070 .080 1646 6.563 3846 9.156 7.78481 .029290 .088547 .000028 Correlation Surface at 1746 3846 .110 .035 .002 .106 .601 .483 .010 .076 .019 .023 .001 .019 .051 .497 .361 .049 .000 .045 .001 .001 .088 .025 .529 .319 .180 .057 .174 .001 .009 .146 .016 .794 .227 .147 .090 .157 .002 .029 .164 .009 1.000 .151 .001 .026 .089 .001 .031 .030 .037 .701 .109 .058 .002 .026 .000 .004 .038 .114 .195 .014 .072 .000 .015 .009 .004 .140 .088 .000 .044 .054 .046 .064 .047 .022 .098 .004 .130 .129 .035 .071 .099 r_peak,r_snr = .1096651 12.85259 Correlation Surface of oversamples image at 1746 3846 .083 .043 .019 .232 .319 .179 .063 .033 .040 .075 .033 .040 .360 .499 .270 .072 .022 .029 .075 .027 .061 .491 .730 .419 .091 .007 .005 .068 .017 .081 .576 .927 .595 .127 .001 .003 .042 .003 .109 .598 1.000 .728 .178 .000 .026 .011 .005 .152 .563 .908 .730 .216 .000 .042 .000 .042 .207 .496 .706 .594 .212 .004 .031 .016 .101 .246 .398 .465 .380 .156 .008 .010 .032 .124 .210 .247 .224 .164 .071 .006 .002 1746 .063 3846 .500 12.85259 .006310 .125115 .005083 Correlation Surface at 1846 3846 .145 .202 .306 .506 .599 .432 .296 .233 .279 .134 .215 .316 .486 .553 .394 .290 .267 .272 .138 .232 .301 .459 .541 .404 .346 .347 .271 .120 .199 .257 .509 .746 .531 .443 .420 .289 .107 .154 .215 .531 1.000 .710 .515 .437 .308 .118 .136 .185 .430 .870 .701 .516 .387 .291 .123 .124 .164 .340 .578 .544 .491 .352 .261 .110 .113 .144 .291 .470 .455 .477 .383 .288 .111 .133 .143 .263 .478 .461 .471 .410 .336 r_peak,r_snr = .3644171 4.93313 Correlation Surface of oversamples image at 1846 3846 .281 .370 .477 .547 .542 .483 .423 .399 .411 .240 .344 .504 .652 .688 .608 .509 .462 .467 .202 .315 .521 .760 .862 .766 .615 .529 .512 .173 .285 .512 .816 .987 .895 .704 .580 .538 .154 .256 .474 .791 1.000 .934 .741 .602 .544 .141 .231 .421 .702 .902 .867 .712 .592 .536 .133 .212 .372 .597 .753 .735 .635 .561 .529 .127 .199 .336 .511 .615 .600 .546 .525 .529 .120 .187 .310 .448 .514 .494 .467 .485 .524 1846 .125 3846 .344 4.93313 .004210 .013666 -.001740 Correlation Surface at 1946 3846 .009 .009 .034 .097 .179 .097 .074 .125 .085 .015 .018 .049 .137 .223 .179 .127 .138 .123 .009 .006 .056 .262 .383 .290 .157 .099 .094 .004 .003 .028 .346 .730 .436 .125 .056 .044 .002 .018 .005 .279 1.000 .598 .118 .044 .025 .001 .002 .007 .151 .761 .598 .170 .077 .028 .001 .007 .036 .092 .348 .373 .217 .129 .042 .002 .010 .048 .104 .205 .248 .255 .175 .062 .004 .002 .014 .114 .203 .247 .277 .178 .071 r_peak,r_snr = .229513 20.97695 Correlation Surface of oversamples image at 1946 3846 .108 .258 .423 .507 .447 .306 .188 .116 .070 .096 .292 .550 .697 .607 .384 .207 .111 .062 .072 .287 .632 .879 .791 .484 .233 .110 .057 .050 .249 .632 .981 .946 .593 .279 .125 .064 .036 .194 .548 .947 1.000 .677 .342 .167 .089 .030 .140 .414 .779 .903 .683 .398 .227 .135 .030 .099 .285 .560 .702 .599 .415 .285 .191 .037 .079 .198 .383 .502 .476 .388 .320 .242 .047 .075 .155 .279 .367 .369 .339 .320 .270 1946 .281 3846 .313 20.97695 .005677 .026089 -.003748 Correlation Surface at 2046 3846 .007 .021 .051 .147 .286 .236 .100 .054 .062 .007 .017 .051 .172 .349 .260 .089 .042 .044 .011 .019 .045 .204 .486 .331 .085 .038 .043 .013 .022 .044 .279 .791 .484 .089 .031 .047 .013 .021 .043 .311 1.000 .604 .107 .029 .037 .019 .021 .041 .239 .775 .517 .117 .032 .023 .027 .027 .046 .171 .456 .327 .095 .033 .015 .025 .038 .065 .176 .346 .232 .075 .029 .010 .015 .039 .079 .204 .350 .222 .076 .033 .013 r_peak,r_snr = .4633443 17.90402 Correlation Surface of oversamples image at 2046 3846 .037 .073 .163 .312 .422 .390 .254 .128 .061 .034 .075 .199 .416 .579 .526 .325 .150 .064 .031 .078 .238 .539 .771 .692 .409 .176 .069 .029 .081 .269 .640 .936 .838 .484 .201 .075 .029 .081 .276 .672 1.000 .902 .523 .218 .082 .030 .078 .254 .617 .929 .853 .507 .219 .088 .031 .071 .213 .500 .757 .713 .441 .202 .088 .034 .066 .172 .379 .568 .547 .353 .172 .082 .040 .067 .146 .290 .421 .411 .275 .142 .072 2046 .156 3846 .000 17.90403 .001226 .005575 -.000160 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .011 .000 .013 .022 .058 .087 .001 .061 .019 .004 .000 .020 .038 .066 .052 .010 .079 .032 .020 .001 .060 .138 .253 .125 .008 .091 .056 .092 .002 .114 .318 .752 .490 .015 .045 .046 .164 .053 .050 .368 1.000 .853 .124 .006 .007 .138 .149 .001 .211 .591 .528 .101 .004 .000 .045 .107 .009 .117 .316 .200 .028 .009 .001 .003 .011 .006 .143 .343 .196 .034 .000 .001 .001 .004 .058 .188 .431 .342 .120 .025 .001 r_peak,r_snr = .1654164 15.43347 Correlation Surface of oversamples image at 146 4246 .157 .189 .240 .268 .204 .083 .006 .014 .062 .223 .276 .387 .485 .416 .213 .049 .000 .022 .253 .332 .513 .720 .697 .437 .174 .036 .000 .226 .337 .573 .874 .934 .683 .367 .151 .041 .160 .301 .558 .881 1.000 .821 .532 .291 .123 .091 .248 .492 .761 .876 .775 .568 .358 .175 .041 .191 .404 .590 .652 .589 .462 .313 .161 .017 .148 .331 .450 .460 .399 .316 .221 .114 .010 .123 .286 .373 .355 .286 .219 .155 .081 146 .406 4246 -.125 15.43348 .019601 .030690 -.003390 Correlation Surface at 246 4246 .157 .158 .277 .465 .599 .649 .399 .191 .153 .157 .119 .219 .493 .668 .666 .396 .173 .166 .144 .121 .206 .551 .837 .639 .297 .120 .135 .108 .143 .263 .669 .979 .557 .243 .094 .095 .068 .147 .318 .739 1.000 .481 .261 .121 .088 .047 .128 .322 .694 .915 .397 .259 .165 .117 .071 .141 .304 .650 .848 .313 .190 .167 .144 .154 .215 .297 .652 .854 .283 .125 .138 .143 .223 .308 .299 .620 .842 .282 .085 .106 .120 r_peak,r_snr = .2202998 5.78518 Correlation Surface of oversamples image at 246 4246 .126 .186 .289 .428 .547 .571 .488 .339 .198 .138 .214 .350 .536 .684 .681 .533 .328 .166 .148 .248 .424 .660 .829 .788 .573 .328 .159 .148 .269 .484 .764 .946 .870 .605 .340 .176 .136 .267 .500 .805 1.000 .909 .623 .354 .204 .118 .245 .469 .772 .979 .896 .611 .351 .221 .103 .219 .419 .701 .910 .843 .569 .321 .213 .101 .207 .384 .639 .840 .782 .516 .277 .185 .114 .214 .376 .607 .790 .733 .470 .235 .151 246 -.406 4246 -2.844 5.78518 .015587 .618024 .050248 Correlation Surface at 346 4246 .099 .293 .066 .048 .410 .521 .416 .235 .036 .006 .143 .052 .049 .377 .298 .203 .097 .006 .009 .047 .006 .146 .475 .163 .082 .021 .004 .000 .026 .004 .424 .835 .246 .067 .002 .039 .031 .028 .023 .596 1.000 .466 .104 .000 .012 .061 .028 .049 .391 .679 .403 .057 .000 .018 .015 .004 .099 .222 .411 .156 .001 .001 .084 .001 .004 .097 .167 .314 .051 .001 .016 .117 .018 .012 .017 .088 .227 .034 .027 .159 .264 r_peak,r_snr = .1037588 9.31518 Correlation Surface of oversamples image at 346 4246 .023 .000 .063 .242 .403 .389 .284 .218 .211 .001 .018 .144 .383 .551 .484 .327 .242 .227 .005 .064 .245 .540 .742 .656 .467 .365 .329 .028 .120 .334 .672 .916 .846 .662 .566 .499 .053 .162 .377 .726 1.000 .966 .816 .740 .632 .065 .171 .359 .679 .965 .980 .860 .770 .610 .064 .157 .297 .561 .850 .920 .804 .648 .432 .065 .144 .237 .443 .729 .846 .713 .473 .227 .073 .145 .202 .363 .638 .780 .622 .320 .089 346 -.281 4246 .188 9.31518 .039963 .152602 -.016382 Correlation Surface at 446 4246 .037 .124 .000 .291 .559 .105 .003 .004 .008 .183 .307 .044 .187 .439 .141 .017 .001 .032 .569 .428 .064 .174 .533 .166 .018 .016 .063 .632 .434 .039 .246 .877 .238 .003 .034 .074 .306 .367 .046 .231 1.000 .273 .001 .023 .055 .174 .340 .105 .049 .401 .115 .001 .014 .047 .282 .416 .167 .015 .006 .001 .003 .009 .024 .493 .537 .096 .015 .007 .030 .040 .001 .000 .593 .662 .028 .016 .024 .038 .128 .000 .001 r_peak,r_snr = 9.63018E-02 8.43888 Correlation Surface of oversamples image at 446 4246 .009 .087 .377 .634 .680 .525 .323 .163 .057 .014 .085 .406 .717 .773 .546 .268 .093 .019 .026 .071 .420 .803 .884 .573 .208 .035 .000 .050 .050 .416 .872 .986 .602 .168 .008 .007 .083 .026 .377 .866 1.000 .593 .144 .001 .022 .119 .007 .289 .728 .850 .498 .114 .000 .033 .150 .000 .165 .473 .557 .321 .069 .000 .039 .165 .008 .061 .218 .258 .141 .024 .003 .046 .161 .021 .011 .064 .075 .033 .001 .012 .055 446 3.875 4246 1.313 8.43888 .015532 .069159 -.002948 Correlation Surface at 546 4246 .527 .461 .399 .442 .612 .557 .396 .310 .274 .558 .506 .435 .503 .733 .710 .523 .346 .275 .411 .485 .514 .616 .893 .870 .603 .356 .258 .261 .440 .620 .739 .999 .932 .581 .338 .236 .229 .452 .724 .803 1.000 .864 .519 .331 .240 .260 .478 .763 .815 .937 .753 .486 .354 .276 .282 .462 .733 .845 .893 .712 .513 .408 .295 .305 .433 .679 .833 .838 .721 .555 .443 .294 .334 .407 .586 .694 .733 .700 .548 .452 .321 r_peak,r_snr = .2963036 3.66885 Correlation Surface of oversamples image at 546 4246 .393 .460 .568 .667 .683 .597 .480 .395 .342 .430 .509 .638 .759 .783 .683 .543 .437 .369 .481 .569 .713 .854 .885 .768 .596 .462 .378 .544 .637 .785 .933 .965 .828 .625 .464 .367 .604 .695 .839 .980 1.000 .847 .622 .443 .339 .646 .726 .858 .983 .983 .819 .591 .410 .305 .667 .730 .845 .949 .927 .760 .546 .377 .279 .674 .719 .813 .895 .855 .691 .503 .356 .271 .679 .708 .777 .835 .784 .632 .471 .352 .283 546 -.719 4246 -11.781 3.66885 .090878 1.190731 .272686 Correlation Surface at 646 4246 .538 .551 .618 .858 .999 .997 .937 .883 .824 .565 .598 .599 .801 1.000 .958 .879 .823 .735 .548 .659 .626 .738 .960 .919 .826 .759 .687 .501 .699 .685 .716 .902 .867 .768 .688 .652 .464 .668 .676 .706 .864 .804 .717 .668 .652 .432 .556 .574 .667 .831 .765 .690 .714 .734 r_peak,r_snr = .4441805 1.83276 Correlation Surface of oversamples image at 646 4246 3.388 3.630 3.835 3.991 4.000 3.762 3.331 2.959 2.832 3.395 3.627 3.803 3.932 3.954 3.787 3.440 3.102 2.951 3.322 3.551 3.704 3.822 3.874 3.793 3.555 3.273 3.110 3.179 3.427 3.574 3.686 3.763 3.757 3.627 3.412 3.242 3.025 3.313 3.469 3.570 3.648 3.681 3.634 3.490 3.318 646 -.188 4246 -17.781 1.83276 .018673 .485349 -.030242 Correlation Surface at 746 4246 .185 .086 .000 .004 .018 .000 .007 .001 .004 .133 .112 .033 .028 .043 .053 .010 .000 .013 .079 .104 .058 .075 .180 .171 .126 .061 .000 .045 .128 .075 .175 .643 .361 .246 .170 .007 .023 .162 .156 .332 1.000 .413 .206 .149 .001 .007 .123 .193 .302 .625 .236 .147 .119 .001 .003 .034 .063 .093 .211 .125 .169 .119 .009 .002 .000 .000 .002 .088 .106 .190 .096 .021 .033 .012 .005 .000 .055 .066 .089 .066 .035 r_peak,r_snr = .1360852 18.69038 Correlation Surface of oversamples image at 746 4246 .020 .010 .031 .083 .115 .116 .111 .098 .056 .011 .005 .042 .156 .246 .240 .202 .175 .129 .009 .007 .075 .301 .487 .447 .329 .261 .213 .018 .019 .140 .504 .792 .682 .444 .318 .270 .038 .049 .220 .671 1.000 .813 .480 .315 .275 .059 .083 .272 .706 .990 .767 .425 .269 .245 .054 .090 .257 .599 .796 .592 .322 .211 .205 .026 .057 .179 .416 .540 .394 .218 .158 .167 .002 .016 .091 .249 .333 .247 .147 .122 .137 746 .031 4246 .219 18.69038 .012455 .038215 .004245 Correlation Surface at 846 4246 .096 .029 .041 .330 .588 .440 .180 .051 .016 .112 .040 .057 .458 .625 .352 .209 .096 .021 .113 .041 .071 .584 .701 .301 .188 .126 .039 .097 .029 .075 .630 .863 .364 .174 .108 .055 .074 .016 .076 .610 1.000 .445 .151 .081 .073 .050 .007 .085 .583 .953 .441 .132 .068 .077 .041 .004 .093 .563 .831 .430 .143 .058 .054 .055 .004 .081 .524 .730 .458 .172 .048 .041 .080 .010 .052 .430 .592 .454 .178 .039 .042 r_peak,r_snr = .2878826 9.85212 Correlation Surface of oversamples image at 846 4246 .033 .154 .407 .720 .860 .689 .381 .168 .084 .049 .189 .445 .758 .911 .744 .423 .192 .091 .066 .223 .482 .790 .958 .810 .485 .228 .100 .079 .246 .503 .805 .989 .871 .547 .260 .103 .086 .254 .506 .801 1.000 .913 .594 .283 .102 .089 .250 .492 .779 .984 .925 .623 .301 .106 .088 .234 .461 .734 .937 .905 .640 .329 .123 .085 .215 .423 .676 .870 .866 .656 .380 .168 .080 .197 .387 .621 .801 .817 .667 .447 .242 846 -.375 4246 -.875 9.85212 .004854 .098102 -.004606 Correlation Surface at 946 4246 .005 .011 .034 .169 .429 .490 .134 .029 .092 .002 .004 .033 .182 .348 .408 .188 .046 .025 .022 .002 .006 .166 .454 .409 .213 .069 .002 .087 .014 .001 .152 .766 .550 .213 .053 .001 .066 .043 .011 .191 1.000 .655 .223 .049 .001 .023 .033 .018 .205 .910 .576 .229 .062 .000 .021 .004 .002 .137 .676 .493 .193 .037 .000 .021 .000 .002 .066 .464 .529 .206 .011 .000 .005 .000 .002 .094 .360 .535 .279 .013 .003 r_peak,r_snr = .1614738 10.85372 Correlation Surface of oversamples image at 946 4246 .010 .048 .160 .300 .364 .348 .308 .277 .244 .008 .041 .181 .423 .583 .550 .427 .326 .258 .013 .044 .208 .544 .807 .764 .557 .386 .279 .027 .053 .232 .627 .959 .918 .662 .446 .309 .043 .060 .240 .651 1.000 .974 .722 .499 .345 .050 .059 .224 .609 .939 .937 .729 .532 .374 .044 .051 .192 .519 .812 .847 .705 .548 .393 .030 .038 .151 .406 .651 .734 .677 .563 .408 .017 .027 .112 .295 .486 .615 .654 .590 .427 946 .219 4246 .469 10.85372 .009192 .127343 .002339 Correlation Surface at 1046 4246 .000 .014 .115 .172 .090 .036 .041 .037 .000 .007 .031 .104 .142 .135 .063 .071 .045 .000 .034 .043 .101 .197 .257 .098 .082 .095 .009 .075 .033 .075 .379 .600 .186 .080 .142 .038 .140 .025 .019 .452 1.000 .352 .099 .165 .041 .215 .050 .007 .329 .970 .459 .125 .148 .043 .216 .129 .035 .249 .680 .454 .112 .079 .063 .129 .184 .111 .244 .401 .345 .089 .034 .064 .065 .174 .137 .167 .187 .195 .084 .031 .034 r_peak,r_snr = .1987256 15.00347 Correlation Surface of oversamples image at 1046 4246 .027 .061 .160 .300 .314 .172 .048 .011 .012 .024 .071 .220 .439 .472 .252 .058 .007 .008 .025 .094 .313 .627 .679 .360 .074 .004 .004 .032 .128 .420 .816 .884 .482 .102 .005 .004 .048 .165 .498 .925 1.000 .574 .139 .011 .008 .068 .190 .515 .908 .980 .600 .177 .026 .020 .093 .202 .484 .803 .864 .570 .209 .050 .038 .123 .214 .444 .683 .728 .521 .237 .081 .052 .157 .234 .422 .591 .610 .469 .259 .108 .055 1046 -.188 4246 .156 15.00348 .007018 .045221 -.005568 Correlation Surface at 1146 4246 .003 .000 .003 .240 .354 .127 .061 .129 .157 .035 .005 .000 .187 .410 .094 .016 .061 .061 .053 .033 .000 .135 .577 .110 .000 .015 .017 .017 .049 .000 .179 .934 .214 .005 .006 .001 .000 .029 .016 .321 1.000 .235 .006 .033 .001 .002 .003 .040 .372 .572 .089 .001 .000 .005 .014 .008 .014 .240 .267 .020 .023 .119 .076 .035 .023 .000 .098 .151 .009 .024 .174 .125 .026 .010 .001 .050 .068 .000 .000 .040 .075 r_peak,r_snr = .1684512 23.6618 Correlation Surface of oversamples image at 1146 4246 .000 .019 .184 .455 .489 .261 .063 .003 .000 .000 .023 .211 .555 .634 .352 .085 .003 .001 .002 .035 .256 .673 .805 .473 .124 .005 .002 .009 .058 .316 .782 .952 .589 .168 .009 .004 .019 .090 .373 .837 1.000 .637 .193 .012 .007 .030 .121 .404 .796 .899 .574 .179 .012 .008 .039 .143 .390 .663 .684 .424 .137 .012 .003 .038 .141 .335 .488 .450 .262 .088 .012 .000 .029 .116 .255 .332 .274 .150 .054 .015 .010 1146 -.094 4246 -.594 23.66181 .006477 .050315 .005728 Correlation Surface at 1246 4246 .034 .077 .032 .033 .177 .129 .060 .018 .000 .055 .063 .025 .059 .283 .215 .067 .022 .009 .031 .032 .032 .176 .530 .268 .029 .004 .015 .000 .003 .022 .349 .920 .327 .004 .003 .011 .026 .006 .002 .311 1.000 .358 .000 .019 .005 .041 .014 .005 .083 .528 .253 .000 .029 .000 .002 .001 .010 .000 .119 .105 .000 .025 .003 .026 .015 .000 .002 .018 .046 .003 .005 .008 .055 .067 .037 .010 .014 .051 .027 .014 .001 r_peak,r_snr = .2258483 30.82135 Correlation Surface of oversamples image at 1246 4246 .010 .048 .148 .304 .417 .377 .232 .098 .028 .014 .080 .237 .453 .573 .466 .249 .086 .015 .016 .111 .338 .636 .767 .574 .268 .073 .005 .012 .124 .413 .793 .941 .673 .285 .061 .001 .006 .112 .418 .834 1.000 .706 .281 .049 .000 .001 .078 .338 .715 .885 .632 .242 .034 .002 .000 .036 .206 .486 .637 .469 .174 .018 .006 .006 .006 .082 .246 .362 .280 .099 .005 .013 .015 .001 .013 .083 .159 .135 .043 .000 .024 1246 -.063 4246 -.594 30.82135 .004146 .020382 -.001791 Correlation Surface at 1346 4246 .017 .001 .027 .234 .443 .259 .058 .025 .015 .036 .006 .015 .235 .503 .288 .066 .037 .018 .078 .021 .011 .265 .643 .381 .096 .053 .030 .111 .041 .009 .333 .888 .540 .140 .059 .031 .123 .059 .003 .342 1.000 .628 .157 .041 .014 .129 .074 .000 .232 .800 .544 .115 .016 .003 .118 .073 .008 .121 .563 .434 .078 .008 .002 .079 .061 .013 .081 .488 .445 .100 .024 .011 .039 .050 .011 .064 .436 .488 .163 .056 .024 r_peak,r_snr = .302611 12.10392 Correlation Surface of oversamples image at 1346 4246 .008 .069 .216 .407 .502 .434 .285 .161 .096 .008 .082 .269 .523 .654 .563 .367 .206 .120 .007 .095 .327 .649 .821 .708 .460 .256 .145 .006 .101 .366 .743 .954 .828 .539 .300 .164 .003 .093 .366 .765 1.000 .881 .577 .321 .170 .000 .071 .323 .706 .945 .847 .561 .308 .155 .001 .043 .252 .590 .816 .747 .500 .268 .128 .008 .020 .181 .467 .671 .631 .427 .224 .101 .018 .007 .129 .372 .559 .541 .373 .196 .087 1346 .063 4246 .000 12.10393 .003550 .031726 -.001501 Correlation Surface at 1446 4246 .008 .000 .043 .133 .123 .063 .034 .015 .008 .007 .014 .007 .117 .173 .076 .031 .003 .009 .009 .067 .005 .111 .253 .070 .034 .015 .036 .016 .131 .016 .218 .588 .157 .045 .036 .072 .020 .160 .021 .317 1.000 .363 .084 .049 .071 .015 .146 .054 .170 .796 .387 .105 .063 .057 .008 .096 .076 .047 .430 .261 .062 .047 .034 .007 .060 .057 .037 .379 .264 .028 .011 .008 .018 .084 .066 .048 .503 .434 .042 .002 .000 r_peak,r_snr = .1876507 11.23286 Correlation Surface of oversamples image at 1446 4246 .001 .067 .203 .321 .312 .185 .084 .058 .069 .005 .037 .196 .389 .432 .272 .117 .067 .077 .014 .032 .237 .528 .642 .443 .202 .105 .100 .018 .037 .300 .691 .878 .654 .329 .173 .140 .021 .037 .328 .771 1.000 .789 .437 .243 .184 .030 .024 .285 .704 .930 .769 .462 .275 .207 .047 .007 .200 .542 .731 .624 .395 .247 .189 .060 .001 .131 .395 .540 .464 .295 .181 .137 .057 .000 .101 .316 .436 .373 .225 .119 .077 1446 .000 4246 .094 11.23287 .006124 .026867 -.002949 Correlation Surface at 1546 4246 .436 .435 .549 .833 .981 .817 .437 .446 .541 .798 1.000 .838 .456 .504 .537 .724 .890 .778 .465 .588 .590 .685 .729 .657 .482 .668 .666 .640 .581 .513 .531 .716 .741 .595 .500 .398 r_peak,r_snr = .2924198 2.04061 Correlation Surface of oversamples image at 1546 4246 .451 .568 .702 .805 .838 .795 .692 .568 .471 .482 .596 .727 .833 .875 .831 .705 .548 .434 .529 .644 .772 .877 .922 .876 .728 .544 .415 .570 .692 .823 .927 .972 .920 .762 .565 .425 .578 .711 .851 .960 1.000 .944 .793 .599 .454 .551 .687 .838 .953 .992 .938 .805 .631 .490 .514 .646 .797 .912 .950 .904 .796 .652 .520 .495 .616 .753 .852 .883 .849 .769 .655 .536 .502 .609 .722 .789 .804 .778 .724 .638 .532 1546 12.969 4246 -14.781 2.04061 .026529 .185559 -.012669 Correlation Surface at 1646 4246 .107 .192 .035 .074 .057 .013 .113 .240 .168 .053 .245 .103 .012 .049 .032 .066 .224 .178 .003 .103 .081 .002 .107 .032 .008 .023 .101 .004 .006 .001 .132 .501 .093 .121 .026 .019 .051 .000 .042 .496 1.000 .089 .197 .121 .002 .154 .007 .000 .260 .621 .001 .262 .217 .038 .238 .078 .095 .000 .124 .020 .220 .282 .132 .212 .180 .232 .077 .009 .002 .063 .229 .249 .014 .072 .108 .055 .005 .003 .023 .113 .159 r_peak,r_snr = 9.60771E-02 10.56975 Correlation Surface of oversamples image at 1646 4246 .058 .047 .012 .002 .038 .088 .084 .040 .007 .006 .002 .008 .064 .174 .260 .192 .053 .000 .011 .023 .096 .256 .469 .572 .367 .078 .004 .061 .087 .224 .502 .817 .891 .512 .086 .014 .108 .128 .283 .630 1.000 .997 .495 .053 .036 .122 .119 .236 .556 .897 .814 .316 .008 .082 .094 .070 .125 .339 .580 .475 .117 .007 .148 .045 .018 .028 .123 .255 .190 .018 .046 .190 .010 .000 .001 .011 .064 .051 .000 .055 .159 1646 -.250 4246 .000 10.56976 .016594 .054386 .008132 Correlation Surface at 1746 4246 .003 .049 .035 .001 .007 .218 .457 .212 .007 .011 .090 .078 .044 .103 .339 .389 .176 .022 .031 .156 .120 .136 .378 .489 .339 .153 .063 .068 .175 .112 .221 .827 .707 .267 .105 .064 .113 .155 .062 .207 1.000 .784 .105 .035 .064 .148 .141 .015 .067 .517 .356 .011 .022 .155 .151 .150 .000 .001 .087 .058 .004 .049 .283 .092 .126 .000 .027 .004 .039 .054 .091 .216 .019 .057 .000 .003 .018 .155 .181 .097 .070 r_peak,r_snr = .1293346 13.7342 Correlation Surface of oversamples image at 1746 4246 .067 .087 .160 .304 .469 .520 .450 .351 .260 .062 .104 .238 .457 .635 .631 .486 .340 .234 .048 .101 .292 .599 .813 .752 .526 .331 .207 .035 .089 .315 .699 .959 .851 .539 .294 .162 .026 .074 .300 .718 1.000 .859 .489 .216 .100 .016 .050 .242 .627 .881 .725 .363 .117 .041 .004 .021 .157 .458 .641 .489 .204 .040 .008 .000 .002 .073 .274 .382 .258 .080 .005 .000 .016 .007 .018 .132 .192 .111 .023 .000 .001 1746 .594 4246 -.625 13.73420 .017707 .048951 .000878 Correlation Surface at 1846 4246 .051 .028 .002 .035 .231 .267 .093 .008 .000 .064 .035 .001 .045 .230 .233 .076 .007 .000 .069 .041 .000 .079 .365 .290 .053 .001 .000 .067 .046 .000 .161 .741 .496 .057 .000 .001 .075 .065 .000 .217 1.000 .635 .070 .000 .000 .102 .091 .005 .172 .747 .455 .054 .000 .000 .116 .084 .004 .130 .434 .244 .030 .000 .001 .092 .051 .000 .140 .330 .174 .024 .000 .002 .070 .038 .001 .153 .323 .168 .028 .000 .006 r_peak,r_snr = .3694114 24.31012 Correlation Surface of oversamples image at 1846 4246 .007 .043 .127 .277 .436 .475 .374 .226 .111 .011 .060 .175 .385 .602 .634 .464 .248 .101 .011 .070 .223 .508 .798 .821 .565 .272 .093 .006 .069 .252 .604 .955 .965 .636 .286 .088 .001 .055 .249 .631 1.000 .992 .636 .277 .083 .000 .038 .218 .578 .909 .883 .554 .239 .073 .002 .026 .179 .480 .737 .696 .429 .186 .061 .001 .023 .153 .390 .569 .518 .315 .140 .050 .000 .030 .147 .332 .451 .394 .238 .111 .045 1846 .250 4246 -.125 24.31013 .001788 .007747 .000140 Correlation Surface at 1946 4246 .003 .001 .056 .221 .257 .111 .019 .000 .000 .003 .000 .055 .285 .375 .148 .021 .001 .001 .006 .000 .036 .333 .564 .196 .019 .003 .003 .017 .007 .013 .371 .845 .272 .014 .003 .003 .029 .021 .003 .357 1.000 .332 .010 .001 .000 .018 .013 .002 .258 .822 .325 .008 .000 .000 .001 .000 .007 .164 .535 .291 .011 .002 .000 .003 .009 .020 .136 .360 .239 .020 .002 .000 .008 .018 .032 .127 .258 .167 .026 .001 .000 r_peak,r_snr = .4011616 29.33633 Correlation Surface of oversamples image at 1946 4246 .065 .190 .374 .532 .554 .423 .237 .100 .031 .057 .192 .417 .633 .682 .517 .274 .105 .031 .046 .188 .454 .736 .818 .618 .312 .109 .030 .033 .174 .470 .814 .936 .708 .346 .113 .030 .021 .150 .455 .839 1.000 .765 .366 .112 .026 .012 .122 .411 .803 .992 .776 .371 .108 .021 .008 .097 .351 .717 .916 .738 .362 .103 .017 .006 .077 .285 .601 .791 .662 .341 .100 .014 .007 .063 .228 .483 .652 .571 .316 .101 .014 1946 -.031 4246 -.281 29.33633 .001316 .013406 -.000694 Correlation Surface at 2046 4246 .002 .000 .010 .054 .135 .093 .018 .002 .001 .006 .002 .008 .039 .134 .100 .020 .001 .002 .000 .000 .005 .061 .225 .129 .022 .001 .002 .006 .003 .005 .165 .612 .254 .017 .000 .003 .010 .007 .010 .279 1.000 .380 .010 .001 .005 .005 .003 .018 .243 .747 .279 .004 .001 .002 .008 .000 .018 .122 .308 .125 .005 .000 .000 .021 .000 .016 .069 .175 .101 .011 .003 .001 .025 .000 .033 .089 .193 .139 .015 .001 .000 r_peak,r_snr = .3788514 34.45695 Correlation Surface of oversamples image at 2046 4246 .002 .010 .044 .124 .200 .192 .117 .047 .012 .002 .016 .083 .230 .358 .322 .175 .058 .011 .001 .027 .142 .392 .602 .524 .262 .072 .009 .002 .041 .207 .563 .860 .736 .350 .082 .006 .004 .053 .250 .662 1.000 .847 .392 .083 .003 .006 .059 .248 .630 .933 .785 .361 .073 .002 .008 .054 .203 .488 .707 .593 .275 .057 .001 .009 .043 .141 .322 .459 .387 .186 .042 .002 .008 .030 .090 .200 .285 .247 .126 .034 .004 2046 .094 4246 .094 34.45695 .001387 .004901 .000111 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .017 .219 .474 .607 .796 .731 .456 .279 .234 .005 .111 .297 .473 .686 .720 .538 .341 .225 .002 .066 .235 .451 .720 .741 .558 .380 .225 .003 .058 .296 .601 .897 .765 .513 .347 .204 .006 .054 .357 .765 1.000 .743 .456 .275 .148 .011 .060 .366 .765 .923 .668 .414 .252 .122 .010 .073 .360 .708 .798 .594 .363 .239 .143 .005 .080 .326 .693 .810 .594 .345 .204 .173 .003 .068 .258 .676 .950 .701 .387 .201 .167 r_peak,r_snr = .2570153 4.57947 Correlation Surface of oversamples image at 146 4646 1.133 1.817 2.425 2.797 2.921 2.775 2.361 1.860 1.510 1.155 1.842 2.468 2.825 2.891 2.659 2.187 1.692 1.366 1.101 1.809 2.546 3.018 3.091 2.761 2.182 1.645 1.300 .997 1.731 2.641 3.346 3.521 3.120 2.405 1.780 1.379 146 -.031 4646 -.156 4.57947 .025456 .157123 .029975 Correlation Surface at 246 4646 .000 .086 .225 .424 .400 .169 .050 .080 .192 .000 .048 .165 .334 .390 .198 .120 .178 .289 .005 .040 .161 .384 .532 .306 .184 .247 .310 .037 .060 .161 .500 .858 .503 .172 .179 .224 .049 .043 .098 .500 1.000 .572 .133 .083 .133 .034 .019 .042 .410 .924 .530 .129 .065 .101 .019 .020 .045 .370 .925 .587 .210 .144 .127 .036 .041 .094 .430 .954 .701 .359 .314 .221 .084 .087 .169 .538 .933 .697 .435 .404 .317 r_peak,r_snr = .1914772 6.5136 Correlation Surface of oversamples image at 246 4646 .143 .570 1.727 3.189 3.950 3.513 2.334 1.317 .808 .194 .651 1.789 3.184 3.903 3.464 2.313 1.385 1.005 .221 .717 1.822 3.091 3.706 3.255 2.150 1.305 1.044 .313 .909 2.069 3.263 3.761 3.257 2.156 1.339 1.129 246 -.063 4646 4.813 6.51360 .011841 .192761 -.009145 Correlation Surface at 346 4646 .067 .007 .008 .063 .133 .208 .152 .093 .063 .113 .110 .121 .087 .119 .085 .127 .232 .080 .112 .136 .242 .243 .292 .059 .053 .262 .153 .101 .043 .149 .432 .726 .102 .002 .094 .133 .141 .023 .062 .414 1.000 .225 .002 .004 .053 .229 .081 .053 .236 .755 .305 .000 .007 .010 .233 .116 .048 .087 .338 .202 .005 .004 .001 .104 .040 .031 .026 .101 .073 .019 .009 .014 .051 .023 .082 .040 .026 .023 .017 .029 .040 r_peak,r_snr = .1286543 13.09377 Correlation Surface of oversamples image at 346 4646 .187 .253 .353 .426 .349 .165 .043 .013 .023 .191 .296 .466 .615 .534 .260 .063 .008 .006 .163 .298 .536 .788 .751 .405 .108 .009 .000 .121 .262 .535 .875 .933 .580 .184 .017 .001 .083 .205 .463 .837 1.000 .717 .269 .031 .002 .055 .143 .347 .686 .913 .742 .321 .044 .002 .033 .083 .219 .479 .702 .635 .310 .053 .001 .016 .035 .111 .282 .452 .449 .249 .057 .000 .007 .009 .040 .135 .242 .260 .167 .057 .005 346 -1.094 4646 8.906 13.09377 .012766 .091794 -.013241 Correlation Surface at 446 4646 .246 .193 .031 .736 .551 .229 .194 .136 .094 .146 .247 .000 .606 .593 .308 .372 .293 .140 .064 .192 .022 .389 .578 .249 .341 .433 .259 .017 .100 .015 .421 .746 .275 .242 .420 .323 .019 .084 .013 .477 1.000 .390 .234 .421 .342 .019 .071 .030 .251 .711 .325 .204 .440 .410 .014 .000 .006 .047 .198 .157 .091 .289 .411 .153 .083 .010 .007 .046 .138 .036 .124 .248 .109 .070 .011 .002 .047 .229 .031 .050 .063 r_peak,r_snr = .1058038 8.96225 Correlation Surface of oversamples image at 446 4646 .058 .010 .241 .588 .650 .496 .410 .453 .512 .075 .001 .168 .527 .661 .516 .372 .336 .351 .072 .000 .170 .575 .756 .583 .366 .265 .246 .063 .002 .216 .702 .920 .697 .399 .242 .198 .059 .002 .238 .761 1.000 .752 .411 .226 .173 .050 .002 .210 .683 .909 .695 .383 .205 .158 .028 .002 .148 .491 .665 .529 .307 .161 .120 .003 .007 .092 .283 .385 .323 .204 .101 .066 .017 .030 .070 .147 .193 .180 .133 .063 .031 446 -.031 4646 2.000 8.96225 .025669 .118730 -.011528 Correlation Surface at 546 4646 .156 .298 .416 .565 .685 .508 .354 .211 .095 .122 .252 .407 .648 .776 .447 .294 .191 .086 .136 .241 .382 .718 .889 .425 .242 .155 .099 .169 .283 .391 .770 .958 .492 .289 .169 .139 .195 .375 .429 .783 1.000 .604 .390 .245 .183 .184 .435 .462 .702 .976 .686 .422 .292 .190 .136 .380 .438 .580 .863 .706 .390 .256 .174 .120 .299 .349 .488 .748 .666 .365 .221 .176 .151 .320 .324 .455 .680 .591 .350 .224 .195 r_peak,r_snr = .260229 5.65982 Correlation Surface of oversamples image at 546 4646 .363 .481 .668 .842 .843 .620 .361 .221 .171 .347 .472 .657 .817 .815 .606 .350 .203 .151 .354 .484 .673 .824 .816 .622 .382 .234 .173 .410 .550 .762 .930 .929 .735 .484 .318 .234 .453 .583 .800 .983 1.000 .821 .572 .395 .297 .477 .578 .770 .949 .987 .837 .608 .438 .342 .510 .572 .720 .878 .935 .820 .610 .443 .348 .531 .556 .647 .770 .845 .774 .584 .412 .314 .503 .506 .552 .640 .722 .697 .541 .369 .264 546 -.188 4646 2.094 5.65982 .035524 1.298899 -.172560 Correlation Surface at 646 4646 .179 .374 .573 .634 .642 .558 .451 .389 .288 .129 .323 .528 .562 .554 .514 .422 .349 .249 .095 .244 .454 .568 .622 .553 .433 .346 .252 .100 .205 .396 .626 .840 .693 .478 .372 .292 .116 .199 .343 .629 1.000 .809 .504 .408 .343 .123 .205 .299 .568 .926 .733 .474 .432 .405 .136 .230 .313 .547 .766 .559 .410 .452 .466 .152 .261 .378 .590 .693 .472 .370 .460 .489 .145 .273 .441 .657 .725 .494 .348 .406 .429 r_peak,r_snr = .4056055 3.19795 Correlation Surface of oversamples image at 646 4646 .334 .396 .456 .524 .553 .511 .419 .336 .296 .315 .390 .479 .588 .647 .599 .480 .372 .321 .294 .381 .496 .647 .743 .695 .544 .409 .346 .273 .380 .531 .736 .882 .840 .657 .486 .404 .251 .372 .555 .806 1.000 .969 .762 .567 .472 .191 .302 .485 .738 .934 .912 .722 .550 .474 .146 .247 .425 .662 .837 .814 .654 .519 .474 .139 .239 .416 .637 .780 .746 .606 .505 .490 .153 .250 .417 .608 .709 .656 .535 .465 .480 646 .188 4646 .063 3.19795 .005192 .024048 -.001549 Correlation Surface at 746 4646 .189 .026 .022 .113 .229 .252 .092 .091 .151 .146 .021 .015 .086 .263 .267 .104 .091 .124 .100 .038 .026 .077 .360 .285 .127 .110 .094 .089 .100 .071 .172 .643 .409 .201 .149 .078 .081 .153 .129 .419 1.000 .575 .302 .218 .094 .052 .109 .151 .579 .988 .530 .319 .267 .092 .025 .038 .099 .475 .690 .373 .242 .223 .054 .008 .006 .032 .273 .428 .266 .171 .131 .036 .000 .002 .019 .168 .299 .186 .108 .078 .051 r_peak,r_snr = .2114431 10.20657 Correlation Surface of oversamples image at 746 4646 .007 .017 .057 .170 .319 .362 .250 .107 .033 .011 .023 .071 .201 .362 .390 .253 .104 .033 .017 .039 .111 .264 .411 .396 .244 .103 .037 .044 .093 .231 .480 .650 .563 .338 .161 .075 .108 .201 .422 .775 1.000 .828 .489 .252 .140 .100 .209 .445 .759 .914 .728 .410 .213 .131 .085 .196 .432 .710 .797 .601 .330 .176 .126 .094 .205 .432 .694 .775 .584 .313 .160 .116 .078 .174 .357 .561 .640 .507 .279 .134 .090 746 .031 4646 .125 10.20658 .008834 .053211 .007316 Correlation Surface at 846 4646 .266 .057 .327 .486 .439 .099 .165 .001 .045 .204 .368 .126 .100 .009 .008 .178 .570 .292 .078 .010 .009 .340 .881 .451 .119 .023 .000 .414 1.000 .280 .165 .011 .009 .281 .937 .091 .149 .000 .011 .087 .502 .020 .114 .002 .004 .005 .043 .000 .072 .004 .009 .001 .001 .003 r_peak,r_snr = 8.34856E-02 7.35145 Correlation Surface of oversamples image at 846 4646 .028 .118 .255 .402 .443 .305 .136 .039 .006 .012 .098 .267 .472 .552 .382 .156 .036 .006 .003 .096 .325 .616 .738 .513 .206 .050 .013 .000 .101 .409 .794 .940 .639 .248 .059 .019 .001 .105 .467 .886 1.000 .639 .218 .038 .006 .003 .096 .457 .840 .895 .526 .144 .009 .001 .003 .086 .423 .765 .782 .429 .093 .000 .018 .000 .082 .366 .658 .664 .346 .057 .006 .059 .000 .049 .229 .430 .455 .233 .025 .025 .113 846 12.875 4646 -2.594 7.35145 .050914 2.088678 .219822 Correlation Surface at 946 4646 .001 .008 .209 .420 .600 .776 .333 .034 .012 .041 .001 .149 .392 .542 .447 .125 .001 .000 .047 .006 .053 .289 .574 .301 .040 .001 .002 .031 .003 .010 .293 .834 .355 .039 .005 .024 .035 .004 .004 .305 1.000 .374 .030 .018 .045 .007 .001 .002 .175 .675 .245 .005 .002 .025 .027 .014 .005 .091 .345 .169 .005 .011 .000 .094 .092 .043 .134 .335 .273 .055 .028 .029 .053 .146 .112 .180 .428 .504 .159 .027 .062 r_peak,r_snr = .1812117 13.88613 Correlation Surface of oversamples image at 946 4646 .047 .073 .140 .254 .354 .386 .324 .194 .074 .016 .041 .132 .301 .423 .405 .281 .131 .035 .004 .031 .159 .410 .570 .488 .281 .098 .016 .002 .040 .231 .594 .803 .635 .311 .080 .006 .003 .062 .308 .746 1.000 .776 .350 .072 .001 .001 .049 .254 .620 .853 .681 .294 .045 .001 .000 .038 .190 .447 .620 .519 .236 .034 .004 .002 .038 .157 .336 .449 .389 .200 .037 .003 .008 .039 .131 .252 .317 .282 .169 .049 .000 946 .000 4646 .031 13.88614 .006212 .043748 -.000364 Correlation Surface at 1046 4646 .012 .009 .077 .174 .175 .073 .030 .024 .030 .003 .015 .101 .164 .117 .004 .000 .019 .018 .000 .005 .053 .168 .224 .007 .013 .003 .018 .015 .008 .027 .309 .677 .092 .017 .000 .035 .042 .035 .048 .471 1.000 .166 .011 .001 .049 .022 .053 .092 .376 .615 .099 .009 .012 .055 .002 .027 .124 .226 .231 .042 .005 .019 .058 .000 .006 .120 .187 .118 .020 .002 .008 .046 .000 .001 .076 .167 .115 .017 .001 .003 .048 r_peak,r_snr = .1965285 26.6704 Correlation Surface of oversamples image at 1046 4646 .054 .070 .097 .110 .062 .002 .040 .131 .116 .029 .061 .132 .212 .184 .046 .010 .123 .158 .017 .067 .212 .424 .450 .192 .002 .082 .160 .016 .081 .312 .686 .789 .402 .032 .043 .131 .024 .101 .379 .847 1.000 .543 .065 .021 .092 .045 .117 .372 .795 .937 .514 .066 .013 .061 .074 .124 .295 .566 .645 .341 .036 .014 .047 .108 .127 .201 .311 .321 .151 .007 .023 .047 .142 .136 .134 .142 .115 .037 .001 .038 .053 1046 -.125 4646 .125 26.67040 .004691 .018327 .000305 Correlation Surface at 1246 4646 .004 .000 .020 .056 .019 .007 .011 .152 .242 .000 .003 .016 .065 .032 .007 .011 .126 .303 .002 .005 .016 .107 .169 .022 .011 .081 .328 .001 .002 .015 .197 .657 .114 .007 .035 .192 .002 .002 .015 .206 1.000 .297 .012 .013 .049 .011 .008 .019 .124 .633 .396 .053 .016 .002 .020 .017 .021 .088 .353 .416 .116 .034 .001 .008 .013 .012 .086 .332 .418 .130 .043 .001 .001 .001 .003 .053 .246 .298 .115 .035 .001 r_peak,r_snr = .1929473 16.8166 Correlation Surface of oversamples image at 1246 4646 .001 .004 .040 .114 .158 .110 .033 .002 .000 .007 .000 .042 .193 .319 .235 .069 .004 .001 .015 .001 .047 .312 .585 .456 .138 .008 .001 .023 .005 .050 .424 .870 .725 .242 .021 .001 .022 .007 .045 .451 1.000 .912 .359 .051 .000 .013 .004 .036 .375 .889 .912 .443 .099 .005 .004 .001 .026 .248 .631 .751 .464 .151 .019 .000 .000 .020 .146 .395 .559 .440 .190 .036 .001 .002 .019 .095 .261 .427 .402 .205 .051 1246 .219 4646 .094 16.81660 .004462 .019863 -.002440 Correlation Surface at 1346 4646 .002 .000 .032 .164 .248 .255 .221 .178 .108 .002 .004 .021 .212 .362 .273 .172 .135 .091 .006 .009 .025 .293 .548 .344 .171 .131 .101 .001 .002 .040 .408 .796 .479 .263 .186 .122 .002 .001 .042 .443 1.000 .615 .376 .257 .118 .015 .011 .044 .345 .960 .671 .409 .288 .096 .025 .033 .060 .243 .716 .600 .358 .255 .085 .018 .037 .067 .200 .523 .459 .280 .192 .078 .003 .013 .052 .196 .419 .350 .219 .140 .065 r_peak,r_snr = .2745096 8.82662 Correlation Surface of oversamples image at 1346 4646 .120 .340 .607 .770 .726 .571 .440 .336 .241 .129 .365 .670 .869 .830 .655 .515 .410 .299 .135 .376 .711 .948 .917 .721 .566 .463 .345 .138 .371 .724 .997 .981 .769 .591 .484 .371 .138 .349 .695 .991 1.000 .786 .587 .473 .368 .137 .319 .630 .918 .954 .763 .562 .438 .339 .136 .289 .555 .810 .861 .709 .527 .398 .297 .135 .266 .490 .702 .748 .633 .483 .360 .259 .132 .250 .439 .609 .640 .547 .426 .319 .226 1346 .250 4646 -.188 8.82662 .005751 .065473 -.006310 Correlation Surface at 1446 4646 .004 .000 .001 .028 .099 .014 .002 .001 .000 .001 .001 .000 .042 .109 .016 .001 .005 .000 .025 .016 .000 .142 .258 .026 .002 .007 .002 .066 .053 .000 .323 .676 .090 .003 .007 .004 .097 .074 .000 .394 1.000 .203 .000 .006 .004 .104 .057 .001 .279 .770 .247 .009 .000 .005 .087 .044 .000 .144 .392 .172 .037 .007 .006 .078 .069 .008 .067 .211 .092 .044 .013 .011 .103 .112 .040 .019 .145 .067 .041 .006 .023 r_peak,r_snr = .2626814 35.87059 Correlation Surface of oversamples image at 1446 4646 .002 .033 .129 .255 .274 .161 .047 .002 .007 .002 .052 .216 .431 .460 .265 .074 .002 .011 .002 .071 .307 .633 .698 .416 .120 .006 .011 .001 .083 .370 .786 .907 .571 .182 .015 .005 .001 .086 .382 .828 1.000 .673 .241 .034 .000 .001 .078 .341 .751 .949 .687 .279 .059 .003 .002 .064 .270 .604 .796 .616 .281 .081 .016 .002 .049 .201 .454 .614 .498 .248 .087 .028 .002 .038 .153 .343 .462 .377 .194 .076 .032 1446 -.094 4646 .031 35.87059 .002711 .015634 -.001232 Correlation Surface at 1546 4646 .146 .049 .042 .199 .218 .057 .078 .155 .303 .097 .014 .007 .152 .130 .014 .075 .113 .077 .029 .005 .002 .194 .328 .077 .042 .021 .017 .023 .015 .007 .216 .888 .453 .022 .001 .069 .010 .003 .011 .176 1.000 .689 .034 .031 .255 .008 .000 .022 .203 .513 .296 .084 .252 .517 .083 .007 .105 .410 .359 .086 .153 .533 .605 .153 .026 .237 .641 .525 .142 .175 .469 .448 .154 .000 .182 .502 .345 .105 .102 .258 .287 r_peak,r_snr = 9.94124E-02 10.35751 Correlation Surface of oversamples image at 1546 4646 .019 .059 .106 .123 .119 .125 .150 .146 .131 .026 .078 .182 .279 .300 .251 .189 .109 .064 .028 .090 .271 .522 .615 .470 .262 .093 .031 .023 .084 .323 .728 .918 .680 .329 .093 .024 .016 .070 .311 .762 1.000 .737 .347 .108 .039 .015 .067 .274 .638 .821 .606 .310 .140 .092 .026 .091 .258 .471 .527 .375 .231 .173 .184 .070 .167 .307 .376 .307 .192 .156 .201 .293 .164 .312 .434 .385 .219 .108 .114 .217 .368 1546 .469 4646 -.094 10.35751 .023941 .099466 .005293 Correlation Surface at 1646 4646 .075 .048 .001 .001 .010 .015 .015 .036 .076 .056 .025 .001 .000 .006 .014 .010 .020 .061 .005 .001 .001 .020 .090 .051 .014 .029 .054 .000 .000 .001 .121 .505 .209 .024 .049 .050 .000 .002 .008 .250 1.000 .436 .031 .036 .031 .003 .012 .028 .268 .823 .395 .024 .011 .013 .016 .026 .045 .178 .317 .178 .018 .005 .010 .038 .041 .045 .080 .092 .093 .034 .011 .016 .044 .035 .021 .026 .058 .107 .061 .030 .022 r_peak,r_snr = .225998 26.40917 Correlation Surface of oversamples image at 1646 4646 .005 .009 .031 .069 .083 .056 .020 .003 .001 .006 .019 .079 .191 .250 .177 .062 .009 .002 .006 .029 .142 .372 .520 .391 .147 .024 .003 .006 .039 .206 .557 .814 .647 .266 .049 .005 .009 .051 .254 .672 1.000 .840 .377 .077 .006 .016 .065 .271 .668 .987 .866 .420 .093 .006 .026 .077 .251 .550 .783 .705 .363 .085 .003 .041 .085 .204 .379 .507 .463 .255 .065 .002 .057 .085 .146 .220 .273 .259 .159 .048 .002 1646 .125 4646 .250 26.40918 .004025 .014188 -.000006 Correlation Surface at 1746 4646 .004 .003 .001 .100 .299 .172 .065 .053 .061 .003 .001 .001 .074 .312 .093 .044 .026 .015 .000 .003 .005 .077 .527 .108 .046 .047 .008 .016 .030 .004 .155 .983 .314 .098 .070 .006 .074 .103 .000 .269 1.000 .467 .146 .014 .001 .104 .104 .005 .317 .554 .296 .124 .009 .029 .059 .025 .027 .323 .254 .148 .099 .022 .037 .010 .000 .055 .290 .143 .099 .099 .003 .018 .000 .003 .059 .224 .085 .075 .108 .000 .020 r_peak,r_snr = .1513189 17.40424 Correlation Surface of oversamples image at 1746 4646 .008 .000 .071 .335 .535 .377 .138 .046 .038 .016 .000 .083 .422 .703 .521 .202 .067 .048 .017 .001 .116 .530 .883 .697 .312 .119 .071 .010 .008 .176 .633 .998 .822 .425 .192 .101 .001 .038 .260 .702 1.000 .833 .486 .256 .123 .005 .094 .353 .723 .898 .734 .475 .285 .126 .027 .164 .429 .692 .733 .577 .408 .273 .114 .058 .221 .467 .624 .566 .427 .332 .246 .104 .083 .247 .461 .538 .426 .315 .278 .234 .109 1746 .063 4646 .750 17.40425 .009834 .066612 .004987 Correlation Surface at 1846 4646 .012 .043 .105 .076 .120 .096 .047 .019 .015 .015 .023 .104 .123 .183 .132 .074 .041 .012 .016 .009 .072 .231 .396 .200 .090 .066 .024 .016 .005 .038 .331 .784 .322 .084 .058 .037 .022 .009 .032 .349 1.000 .411 .071 .041 .049 .035 .027 .043 .292 .802 .354 .054 .026 .059 .038 .046 .054 .213 .480 .249 .047 .013 .051 .024 .050 .063 .157 .288 .195 .058 .015 .041 .015 .049 .071 .132 .212 .179 .078 .035 .047 r_peak,r_snr = .3520667 12.85462 Correlation Surface of oversamples image at 1846 4646 .066 .137 .248 .367 .410 .324 .182 .097 .072 .043 .118 .285 .510 .621 .492 .262 .122 .077 .026 .093 .296 .631 .837 .677 .349 .148 .080 .017 .072 .281 .687 .981 .816 .419 .170 .083 .014 .057 .249 .665 1.000 .854 .443 .178 .082 .014 .048 .210 .583 .902 .784 .414 .168 .076 .016 .044 .173 .475 .737 .649 .351 .147 .067 .018 .042 .145 .372 .567 .505 .285 .127 .060 .020 .043 .125 .290 .429 .391 .238 .117 .057 1846 .094 4646 -.156 12.85463 .001878 .012751 -.000307 Correlation Surface at 1946 4646 .013 .024 .008 .031 .258 .338 .181 .016 .006 .009 .017 .001 .045 .262 .360 .157 .011 .005 .010 .011 .002 .103 .392 .420 .134 .008 .002 .013 .004 .018 .244 .745 .499 .102 .002 .005 .016 .001 .036 .384 1.000 .466 .060 .000 .026 .029 .001 .026 .335 .755 .279 .027 .007 .063 .050 .007 .009 .207 .412 .136 .014 .010 .076 .051 .010 .005 .140 .302 .117 .012 .006 .052 .027 .004 .005 .113 .271 .136 .009 .005 .025 r_peak,r_snr = .319782 19.365 Correlation Surface of oversamples image at 1946 4646 .006 .034 .104 .240 .418 .530 .486 .326 .155 .015 .059 .158 .340 .549 .637 .535 .336 .152 .028 .094 .239 .485 .729 .767 .580 .334 .144 .045 .136 .331 .643 .905 .873 .595 .311 .127 .058 .169 .404 .753 1.000 .896 .558 .266 .102 .063 .181 .425 .764 .961 .810 .469 .207 .075 .056 .167 .390 .676 .808 .644 .355 .150 .053 .043 .137 .324 .546 .621 .472 .252 .107 .038 .030 .105 .256 .428 .472 .348 .186 .082 .031 1946 .094 4646 .063 19.36501 .002782 .012096 .001420 Correlation Surface at 2046 4646 .003 .006 .000 .054 .148 .081 .019 .000 .002 .009 .015 .000 .061 .184 .062 .004 .005 .001 .011 .020 .004 .060 .288 .096 .000 .014 .001 .009 .022 .013 .081 .669 .318 .008 .013 .002 .007 .026 .021 .081 1.000 .610 .046 .002 .001 .013 .030 .024 .025 .587 .434 .048 .001 .001 .019 .028 .025 .001 .112 .110 .011 .001 .004 .014 .015 .020 .011 .014 .031 .002 .000 .000 .011 .006 .007 .006 .013 .054 .015 .002 .008 r_peak,r_snr = .3142982 47.99091 Correlation Surface of oversamples image at 2046 4646 .018 .088 .207 .279 .219 .102 .028 .002 .002 .010 .091 .278 .433 .382 .199 .064 .010 .000 .005 .102 .380 .659 .631 .358 .130 .029 .000 .002 .109 .471 .876 .885 .534 .212 .056 .004 .001 .099 .486 .956 1.000 .630 .268 .079 .009 .000 .071 .393 .821 .891 .582 .260 .083 .012 .001 .034 .237 .541 .617 .416 .192 .063 .010 .003 .008 .101 .271 .333 .231 .106 .034 .004 .006 .000 .028 .106 .146 .103 .045 .012 .001 2046 .281 4646 -.031 47.99092 .001838 .006006 -.000444 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .008 .105 .151 .240 .404 .428 .358 .246 .139 .005 .121 .220 .278 .394 .425 .320 .248 .146 .001 .109 .283 .412 .532 .437 .235 .204 .159 .000 .083 .263 .527 .815 .590 .237 .199 .177 .000 .065 .222 .541 1.000 .824 .333 .211 .173 .001 .060 .216 .521 .933 .856 .387 .192 .148 .003 .055 .237 .541 .836 .741 .384 .188 .132 .003 .048 .264 .603 .840 .722 .411 .220 .136 .000 .053 .276 .627 .871 .819 .493 .247 .158 r_peak,r_snr = .2750666 5.12311 Correlation Surface of oversamples image at 146 5046 .337 .441 .559 .661 .657 .517 .340 .220 .165 .336 .475 .637 .772 .766 .588 .371 .232 .175 .332 .501 .706 .878 .877 .673 .424 .264 .198 .330 .518 .752 .954 .962 .747 .480 .301 .218 .337 .530 .772 .983 1.000 .792 .524 .331 .231 .355 .544 .770 .962 .979 .792 .540 .348 .235 .381 .560 .757 .913 .922 .760 .536 .354 .239 .416 .584 .747 .862 .861 .725 .528 .360 .248 .457 .615 .741 .818 .810 .697 .522 .362 .255 146 .281 5046 .563 5.12311 .011533 .063501 -.009274 Correlation Surface at 246 5046 .061 .003 .006 .023 .119 .333 .113 .007 .001 .080 .034 .004 .087 .240 .328 .074 .001 .003 .041 .027 .018 .153 .372 .323 .029 .000 .000 .002 .004 .104 .385 .763 .581 .058 .003 .004 .002 .012 .092 .549 1.000 .916 .176 .030 .010 .000 .040 .001 .265 .714 .878 .265 .049 .003 .002 .014 .009 .049 .353 .573 .243 .045 .000 .013 .001 .021 .080 .278 .357 .175 .068 .002 r_peak,r_snr = .1119763 10.98563 Correlation Surface of oversamples image at 246 5046 .005 .048 .153 .295 .390 .369 .251 .095 .005 .040 .128 .301 .498 .599 .527 .331 .123 .010 .089 .237 .478 .724 .825 .698 .433 .176 .033 .108 .313 .615 .889 .988 .835 .541 .258 .085 .069 .289 .618 .897 1.000 .871 .613 .345 .157 .016 .174 .466 .729 .849 .786 .613 .400 .216 .001 .059 .251 .466 .602 .611 .530 .391 .233 .012 .008 .096 .236 .359 .411 .395 .324 .209 .010 .001 .035 .112 .198 .251 .260 .232 .167 246 -.063 5046 10.781 10.98564 .114403 .129669 -.052436 Correlation Surface at 346 5046 .612 .603 .675 .751 .718 .689 .622 .543 .508 .612 .608 .700 .814 .784 .765 .703 .592 .542 .613 .630 .762 .923 .874 .815 .773 .660 .605 .614 .668 .802 .984 .954 .883 .775 .656 .640 .588 .692 .779 .953 1.000 .954 .740 .600 .614 .553 .668 .702 .851 .949 .951 .715 .557 .556 .556 .630 .631 .734 .793 .857 .723 .550 .516 .580 .604 .585 .632 .629 .748 .750 .581 .528 .577 .601 .579 .589 .546 .664 .736 .616 .561 r_peak,r_snr = .4390476 2.03179 Correlation Surface of oversamples image at 346 5046 .620 .639 .697 .767 .803 .792 .757 .717 .686 .637 .666 .741 .826 .864 .841 .789 .738 .707 .655 .697 .789 .888 .931 .900 .832 .769 .734 .674 .724 .825 .932 .981 .954 .883 .813 .771 .695 .745 .839 .945 1.000 .989 .932 .869 .819 .713 .754 .826 .918 .981 .995 .969 .925 .870 .719 .744 .784 .857 .927 .967 .979 .963 .909 .708 .713 .722 .775 .849 .911 .950 .962 .920 .681 .670 .656 .691 .763 .833 .886 .917 .895 346 -1.750 5046 -2.781 2.03179 .251262 .236228 -.199322 Correlation Surface at 446 5046 .004 .252 .319 .000 .007 .076 .228 .081 .000 .011 .005 .005 .002 .037 .001 .074 .053 .000 .002 .202 .262 .061 .064 .127 .001 .080 .066 .045 .182 .392 .333 .364 .322 .082 .080 .164 .107 .013 .073 .440 1.000 .523 .147 .032 .128 .128 .027 .000 .227 .922 .571 .156 .005 .083 .082 .024 .000 .152 .459 .385 .133 .006 .032 .042 .001 .011 .180 .336 .216 .067 .024 .002 .028 .000 .003 .112 .221 .073 .001 .000 .007 r_peak,r_snr = 9.09469E-02 9.25401 Correlation Surface of oversamples image at 446 5046 .153 .086 .043 .044 .092 .175 .197 .110 .009 .146 .116 .126 .195 .293 .354 .314 .175 .025 .070 .092 .213 .444 .608 .568 .389 .191 .033 .010 .045 .247 .648 .888 .731 .405 .169 .032 .001 .017 .231 .708 1.000 .783 .375 .133 .029 .011 .010 .206 .642 .917 .709 .308 .093 .023 .011 .017 .207 .556 .755 .570 .232 .057 .013 .004 .044 .258 .537 .640 .453 .170 .033 .005 .000 .083 .340 .572 .584 .366 .119 .015 .001 446 .031 5046 8.531 9.25401 .042768 .078915 -.014767 Correlation Surface at 546 5046 .045 .038 .089 .419 .902 .686 .277 .119 .053 .065 .023 .071 .412 .920 .610 .176 .062 .043 .115 .030 .066 .374 .816 .486 .126 .031 .021 .149 .056 .073 .366 .857 .499 .131 .033 .011 .129 .065 .086 .391 1.000 .606 .145 .046 .017 .088 .039 .082 .344 .919 .608 .133 .048 .032 .059 .017 .075 .256 .621 .457 .112 .041 .040 .045 .011 .090 .241 .431 .323 .092 .035 .030 .052 .012 .114 .298 .431 .302 .094 .029 .012 r_peak,r_snr = .2519704 7.88413 Correlation Surface of oversamples image at 546 5046 .071 .169 .369 .617 .740 .614 .360 .161 .058 .071 .161 .358 .625 .776 .650 .377 .171 .068 .078 .165 .367 .669 .863 .738 .432 .197 .083 .089 .177 .387 .722 .958 .842 .504 .230 .097 .098 .189 .400 .742 1.000 .902 .553 .251 .101 .099 .192 .389 .703 .946 .871 .547 .247 .092 .093 .185 .356 .611 .809 .753 .484 .219 .077 .085 .174 .313 .501 .640 .595 .388 .178 .060 .076 .162 .273 .403 .489 .447 .292 .134 .045 546 .125 5046 .500 7.88413 .005651 .094746 -.004266 Correlation Surface at 646 5046 .454 .615 .633 .697 .829 .761 .605 .478 .481 .388 .581 .686 .806 .868 .737 .600 .516 .492 .359 .521 .691 .869 .943 .771 .623 .573 .479 .395 .480 .628 .812 .991 .843 .662 .585 .426 .431 .463 .555 .745 1.000 .881 .663 .563 .416 .397 .430 .515 .727 .964 .838 .624 .556 .475 .339 .389 .504 .712 .896 .746 .586 .541 .486 .332 .385 .517 .711 .858 .673 .528 .466 .397 .371 .385 .486 .713 .871 .638 .425 .362 .328 r_peak,r_snr = .3752045 3.32841 Correlation Surface of oversamples image at 646 5046 1.581 1.997 2.487 2.909 2.903 2.434 1.868 1.518 1.404 1.753 2.233 2.755 3.166 3.085 2.528 1.923 1.557 1.415 1.890 2.459 3.047 3.484 3.362 2.715 2.020 1.582 1.376 1.912 2.584 3.286 3.813 3.719 3.006 2.178 1.607 1.308 646 -.250 5046 -.188 3.32841 .015701 .734423 -.047196 Correlation Surface at 746 5046 .096 .122 .026 .016 .002 .002 .002 .000 .020 .132 .108 .033 .010 .037 .001 .023 .006 .051 .046 .009 .017 .172 .361 .036 .020 .052 .138 .012 .006 .014 .423 .808 .149 .000 .112 .151 .061 .000 .018 .558 1.000 .184 .000 .031 .043 .167 .015 .022 .555 .856 .065 .038 .011 .000 .151 .032 .042 .442 .526 .003 .070 .021 .000 .095 .015 .087 .385 .388 .007 .004 .013 .033 .081 .003 .097 .417 .441 .136 .084 .134 .081 r_peak,r_snr = .1188082 9.20133 Correlation Surface of oversamples image at 746 5046 .001 .006 .079 .296 .492 .369 .107 .004 .002 .005 .011 .149 .482 .723 .526 .169 .015 .000 .010 .015 .211 .634 .900 .643 .218 .026 .001 .014 .018 .259 .737 .995 .693 .235 .028 .000 .012 .025 .299 .788 1.000 .665 .214 .019 .001 .005 .040 .339 .800 .936 .580 .171 .008 .010 .000 .067 .378 .782 .834 .479 .129 .004 .016 .010 .109 .416 .753 .748 .412 .112 .005 .010 .041 .166 .458 .745 .722 .414 .136 .018 .000 746 -.031 5046 -1.750 9.20133 .015880 .249006 .020247 Correlation Surface at 846 5046 .212 .005 .115 .002 .010 .084 .187 .098 .097 .280 .001 .071 .032 .065 .136 .281 .071 .086 .319 .007 .002 .176 .285 .277 .332 .055 .026 .522 .030 .021 .346 .727 .520 .356 .090 .017 .472 .056 .049 .338 1.000 .612 .131 .032 .066 .097 .060 .060 .148 .748 .528 .008 .008 .008 .000 .061 .078 .016 .251 .342 .007 .017 .001 .002 .069 .087 .000 .033 .089 .033 .011 .000 .019 .116 .052 .011 .002 .001 .015 .080 .000 r_peak,r_snr = 8.31769E-02 9.2638 Correlation Surface of oversamples image at 846 5046 .448 .029 .045 .080 .001 .914 .124 .012 .056 .000 1.913 .469 .012 .020 .001 3.211 1.119 .155 .000 .002 4.000 1.783 .436 .024 .002 3.718 2.067 .746 .099 .000 2.621 1.863 .962 .211 .001 1.307 1.265 .953 .298 .006 .355 .584 .737 .339 .015 846 1.094 5046 .656 9.26380 .047708 .211884 -.024349 Correlation Surface at 1046 5046 .026 .004 .028 .002 .000 .002 .005 .047 .001 .024 .002 .010 .000 .002 .000 .001 .010 .010 .020 .000 .001 .028 .188 .015 .000 .001 .033 .029 .002 .018 .083 .799 .179 .004 .016 .051 .057 .016 .021 .069 1.000 .558 .079 .059 .066 .122 .028 .000 .065 .703 .948 .364 .163 .080 .147 .007 .057 .102 .362 .828 .554 .287 .082 .058 .000 .064 .077 .093 .336 .358 .251 .047 .000 .001 .008 .022 .007 .069 .171 .139 .015 r_peak,r_snr = .1350329 17.28039 Correlation Surface of oversamples image at 1046 5046 .034 .018 .000 .032 .034 .000 .030 .046 .030 .086 .034 .009 .156 .225 .060 .004 .044 .030 .134 .045 .027 .347 .566 .270 .014 .015 .015 .153 .044 .047 .501 .892 .578 .123 .003 .000 .134 .033 .052 .511 1.000 .834 .341 .088 .039 .083 .016 .042 .381 .848 .921 .603 .309 .185 .034 .003 .023 .200 .540 .786 .757 .570 .400 .005 .000 .010 .067 .242 .503 .691 .693 .562 .001 .009 .006 .011 .066 .235 .476 .621 .589 1046 .156 5046 1.063 17.28040 .011288 .097123 -.017376 Correlation Surface at 1146 5046 .021 .069 .101 .068 .016 .015 .105 .021 .011 .002 .042 .090 .032 .012 .002 .037 .000 .069 .000 .011 .070 .000 .019 .010 .000 .048 .154 .000 .000 .043 .039 .371 .090 .000 .037 .112 .000 .005 .013 .139 1.000 .237 .029 .009 .000 .008 .003 .024 .071 .914 .222 .098 .145 .089 .034 .075 .150 .021 .218 .061 .154 .260 .147 .018 .092 .219 .224 .005 .000 .199 .389 .221 .004 .026 .087 .206 .143 .038 .229 .604 .478 r_peak,r_snr = 8.71931E-02 2.68014 Correlation Surface of oversamples image at 1146 5046 .098 .086 .019 .012 .093 .095 .024 .000 .014 .073 .049 .000 .103 .308 .292 .103 .008 .003 .062 .028 .014 .266 .622 .569 .214 .025 .001 .078 .024 .037 .424 .908 .798 .293 .031 .002 .143 .043 .035 .466 1.000 .843 .276 .018 .007 .298 .119 .005 .329 .804 .663 .172 .001 .025 .569 .313 .027 .102 .417 .357 .058 .010 .064 .888 .636 .214 .001 .090 .100 .002 .049 .114 1.106 .982 .568 .156 .005 .001 .012 .088 .154 1146 1.656 5046 -3.094 2.68014 .014829 .082594 -.002465 Correlation Surface at 1246 5046 .087 .109 .053 .059 .257 .097 .025 .002 .000 .141 .118 .048 .099 .364 .112 .017 .002 .000 .172 .134 .038 .167 .614 .213 .034 .008 .001 .145 .138 .025 .221 .969 .420 .064 .013 .000 .099 .127 .015 .205 1.000 .457 .037 .000 .012 .072 .100 .003 .136 .577 .244 .001 .018 .055 .066 .083 .001 .078 .260 .106 .002 .036 .068 .062 .082 .010 .059 .224 .081 .000 .017 .039 .051 .059 .011 .060 .305 .091 .001 .004 .013 r_peak,r_snr = .2278766 19.20503 Correlation Surface of oversamples image at 1246 5046 .073 .001 .075 .288 .414 .314 .137 .034 .005 .061 .000 .103 .377 .551 .429 .196 .054 .009 .050 .001 .137 .488 .730 .589 .281 .084 .015 .043 .003 .166 .586 .905 .760 .378 .118 .023 .041 .003 .173 .624 1.000 .869 .444 .139 .025 .039 .003 .157 .581 .956 .847 .433 .127 .017 .032 .003 .130 .476 .787 .700 .349 .088 .006 .021 .004 .100 .347 .570 .509 .245 .050 .000 .012 .004 .076 .243 .393 .353 .166 .027 .001 1246 .125 5046 -.344 19.20503 .003752 .027874 .000517 Correlation Surface at 1346 5046 .000 .012 .063 .251 .422 .256 .083 .018 .005 .000 .009 .062 .266 .470 .290 .103 .039 .011 .000 .006 .053 .286 .586 .374 .129 .068 .027 .000 .004 .045 .356 .847 .528 .164 .083 .037 .002 .000 .031 .386 1.000 .624 .186 .080 .031 .009 .001 .019 .298 .754 .508 .166 .067 .020 .011 .000 .027 .226 .444 .302 .124 .054 .013 .007 .004 .058 .226 .345 .216 .108 .058 .014 .001 .014 .086 .245 .366 .241 .125 .076 .019 r_peak,r_snr = .4315835 13.41111 Correlation Surface of oversamples image at 1346 5046 .062 .148 .308 .502 .617 .583 .442 .287 .175 .059 .147 .332 .578 .741 .702 .515 .319 .191 .053 .146 .356 .659 .876 .833 .590 .348 .203 .045 .141 .370 .718 .980 .934 .646 .367 .211 .035 .130 .364 .723 1.000 .956 .657 .367 .210 .025 .114 .334 .663 .912 .873 .605 .341 .195 .020 .098 .289 .559 .752 .718 .507 .292 .168 .020 .091 .251 .455 .586 .553 .399 .239 .140 .027 .097 .231 .383 .465 .430 .317 .199 .120 1346 .188 5046 -.156 13.41112 .001706 .007793 -.000150 Correlation Surface at 1446 5046 .715 .551 .075 .112 .258 .140 .088 .071 .025 .526 .637 .170 .086 .339 .189 .084 .054 .025 .373 .662 .281 .079 .434 .176 .025 .006 .003 .266 .634 .271 .149 .698 .188 .000 .010 .003 .221 .533 .190 .239 1.000 .240 .006 .031 .007 .231 .406 .137 .213 .885 .226 .006 .033 .019 .261 .275 .064 .171 .530 .155 .000 .020 .049 .246 .145 .008 .168 .315 .087 .001 .007 .066 .220 .098 .002 .114 .152 .006 .019 .016 .052 r_peak,r_snr = .1637536 8.81754 Correlation Surface of oversamples image at 1446 5046 .226 .007 .123 .430 .516 .334 .129 .030 .007 .236 .005 .169 .564 .673 .423 .147 .023 .001 .237 .002 .221 .708 .842 .525 .172 .021 .000 .232 .001 .259 .815 .970 .602 .191 .019 .003 .228 .001 .267 .837 1.000 .621 .196 .018 .005 .222 .001 .240 .754 .900 .563 .182 .018 .004 .204 .001 .194 .606 .713 .451 .153 .019 .002 .164 .001 .154 .461 .528 .340 .127 .022 .000 .112 .000 .127 .345 .380 .246 .102 .024 .001 1446 -.125 5046 .375 8.81754 .005501 .074729 .000729 Correlation Surface at 1546 5046 .000 .092 .357 .025 .175 .024 .030 .042 .139 .194 .104 .031 .056 .293 .016 .034 .015 .214 .617 .165 .002 .137 .345 .040 .000 .008 .097 .784 .430 .070 .113 .703 .115 .012 .025 .039 .564 .684 .360 .045 1.000 .234 .007 .002 .135 .204 .350 .405 .000 .452 .138 .002 .066 .370 .012 .027 .089 .007 .006 .006 .004 .064 .270 .010 .019 .014 .014 .056 .011 .012 .010 .061 .012 .037 .080 .136 .064 .012 .079 .002 .079 r_peak,r_snr = 7.63704E-02 7.54674 Correlation Surface of oversamples image at 1546 5046 .030 .146 .427 .757 .801 .451 .091 .001 .001 .006 .084 .364 .762 .837 .452 .083 .001 .004 .006 .022 .265 .740 .898 .479 .075 .000 .002 .054 .000 .180 .712 .975 .539 .078 .000 .000 .115 .010 .118 .650 1.000 .602 .097 .000 .001 .127 .022 .070 .507 .871 .597 .127 .001 .003 .075 .016 .035 .295 .567 .463 .140 .007 .001 .013 .002 .017 .107 .228 .243 .114 .017 .000 .005 .010 .014 .017 .033 .068 .070 .031 .003 1546 -.031 5046 -.156 7.54674 .015752 .089400 -.008293 Correlation Surface at 1646 5046 .096 .117 .218 .415 .527 .380 .267 .148 .049 .126 .121 .188 .396 .553 .415 .235 .123 .043 .096 .098 .145 .390 .637 .416 .175 .097 .036 .057 .076 .128 .441 .871 .500 .168 .090 .036 .043 .065 .132 .457 1.000 .584 .174 .079 .036 .043 .053 .120 .353 .751 .496 .137 .051 .029 .057 .042 .081 .218 .416 .344 .107 .034 .029 .088 .045 .051 .139 .253 .267 .125 .044 .038 .100 .052 .040 .094 .194 .248 .160 .072 .047 r_peak,r_snr = .3239299 12.67395 Correlation Surface of oversamples image at 1646 5046 .128 .242 .420 .596 .675 .606 .427 .246 .130 .104 .217 .419 .645 .755 .665 .441 .237 .117 .090 .203 .431 .717 .870 .756 .476 .242 .114 .085 .199 .444 .777 .973 .839 .508 .245 .109 .084 .196 .440 .786 1.000 .861 .507 .229 .092 .082 .185 .406 .720 .919 .793 .459 .193 .065 .075 .164 .343 .590 .749 .655 .379 .149 .039 .065 .138 .272 .443 .558 .503 .301 .114 .023 .055 .112 .209 .322 .404 .383 .248 .100 .018 1646 .063 5046 -.125 12.67395 .003541 .018472 -.000689 Correlation Surface at 1746 5046 .027 .007 .032 .151 .106 .066 .021 .017 .057 .050 .009 .035 .147 .126 .083 .024 .001 .016 .081 .014 .015 .103 .191 .117 .011 .000 .002 .098 .034 .002 .153 .557 .320 .017 .001 .002 .084 .069 .000 .257 1.000 .587 .076 .012 .002 .052 .059 .004 .195 .720 .460 .139 .083 .001 .036 .024 .003 .077 .268 .167 .088 .094 .006 .042 .017 .001 .051 .151 .056 .018 .025 .000 .063 .024 .000 .086 .189 .074 .009 .001 .009 r_peak,r_snr = .2451397 18.57108 Correlation Surface of oversamples image at 1746 5046 .021 .059 .114 .188 .248 .256 .208 .122 .037 .016 .055 .130 .258 .381 .396 .295 .152 .039 .010 .058 .173 .385 .596 .613 .426 .200 .049 .004 .063 .233 .543 .844 .854 .568 .258 .071 .001 .064 .277 .654 1.000 .995 .653 .304 .105 .000 .058 .278 .646 .959 .938 .621 .311 .140 .001 .047 .238 .530 .748 .710 .475 .259 .150 .001 .035 .180 .379 .495 .440 .285 .167 .123 .000 .026 .132 .260 .306 .240 .138 .079 .073 1746 .250 5046 .125 18.57109 .004262 .010773 -.000318 Correlation Surface at 1846 5046 .042 .019 .001 .047 .240 .169 .034 .000 .009 .050 .026 .000 .097 .345 .219 .036 .001 .016 .055 .025 .000 .184 .582 .298 .041 .002 .016 .061 .018 .002 .274 .915 .393 .039 .000 .008 .058 .008 .006 .273 1.000 .416 .032 .000 .005 .042 .001 .018 .186 .672 .326 .030 .000 .005 .022 .001 .038 .109 .340 .228 .035 .000 .005 .011 .004 .041 .072 .193 .183 .049 .005 .002 .008 .002 .024 .061 .152 .157 .063 .013 .002 r_peak,r_snr = .3967878 24.29885 Correlation Surface of oversamples image at 1846 5046 .005 .056 .200 .419 .535 .431 .232 .087 .019 .007 .066 .248 .543 .701 .541 .263 .089 .022 .011 .075 .285 .658 .875 .663 .295 .087 .021 .017 .081 .300 .721 .993 .756 .319 .083 .019 .026 .086 .288 .702 1.000 .776 .323 .077 .015 .040 .089 .253 .608 .889 .708 .299 .069 .012 .056 .090 .206 .471 .699 .573 .251 .059 .010 .071 .088 .159 .333 .496 .421 .195 .051 .010 .081 .084 .120 .223 .330 .296 .153 .049 .012 1846 .031 5046 -.219 24.29885 .001301 .008987 -.000114 Correlation Surface at 1946 5046 .000 .002 .026 .099 .113 .067 .049 .011 .000 .002 .001 .020 .100 .138 .076 .041 .009 .001 .009 .000 .015 .155 .304 .157 .045 .008 .000 .010 .001 .015 .273 .728 .362 .055 .006 .001 .003 .000 .024 .335 1.000 .492 .048 .003 .002 .000 .008 .042 .247 .661 .324 .025 .002 .002 .001 .010 .048 .142 .270 .122 .007 .001 .001 .004 .003 .034 .098 .129 .054 .003 .000 .000 .003 .001 .020 .077 .104 .056 .007 .000 .000 r_peak,r_snr = .4263843 25.71946 Correlation Surface of oversamples image at 1946 5046 .027 .093 .214 .334 .372 .305 .197 .112 .063 .027 .110 .284 .481 .556 .452 .273 .137 .065 .026 .122 .353 .647 .784 .639 .367 .164 .065 .024 .123 .387 .764 .967 .796 .445 .183 .063 .024 .114 .368 .762 1.000 .837 .466 .184 .058 .026 .100 .305 .636 .850 .723 .407 .160 .049 .033 .088 .228 .454 .604 .517 .295 .120 .039 .042 .081 .167 .300 .382 .321 .185 .079 .028 .048 .078 .131 .203 .239 .191 .109 .049 .020 1946 .031 5046 -.156 25.71947 .001340 .003952 .000011 Correlation Surface at 2046 5046 .000 .001 .005 .011 .089 .045 .025 .013 .005 .003 .003 .001 .014 .091 .048 .045 .032 .004 .010 .002 .001 .068 .215 .098 .082 .067 .007 .018 .000 .003 .189 .656 .312 .117 .090 .011 .026 .001 .001 .208 1.000 .538 .117 .068 .008 .025 .002 .000 .083 .590 .412 .087 .036 .002 .015 .002 .002 .012 .162 .172 .046 .017 .001 .005 .002 .003 .003 .059 .071 .012 .004 .002 .001 .000 .001 .002 .040 .031 .000 .000 .003 r_peak,r_snr = .3472445 52.92285 Correlation Surface of oversamples image at 2046 5046 .005 .008 .037 .109 .167 .148 .097 .075 .077 .008 .020 .081 .222 .336 .294 .184 .121 .107 .008 .030 .139 .393 .608 .539 .319 .177 .127 .006 .033 .178 .544 .887 .805 .460 .218 .126 .003 .025 .169 .573 1.000 .946 .535 .227 .108 .000 .012 .115 .450 .856 .863 .504 .205 .086 .000 .002 .052 .257 .547 .604 .382 .163 .068 .002 .000 .013 .104 .263 .331 .240 .118 .054 .004 .003 .001 .031 .102 .155 .136 .080 .042 2046 .188 5046 .000 52.92286 .001825 .004684 -.000422 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .000 .003 .098 .478 .423 .190 .007 .000 .015 .004 .004 .047 .320 .326 .164 .004 .000 .018 .064 .039 .054 .333 .439 .218 .007 .004 .030 .096 .081 .081 .442 .762 .396 .012 .006 .071 .048 .062 .094 .445 1.000 .622 .027 .003 .086 .009 .037 .123 .356 .933 .754 .076 .004 .055 .000 .020 .174 .326 .674 .632 .101 .017 .066 .002 .009 .158 .332 .476 .359 .050 .038 .150 .009 .004 .100 .363 .459 .189 .018 .058 .233 r_peak,r_snr = .1858998 9.94624 Correlation Surface of oversamples image at 146 5446 .041 .143 .309 .447 .494 .441 .290 .106 .009 .040 .146 .348 .552 .643 .562 .334 .103 .005 .049 .158 .389 .662 .812 .706 .390 .101 .002 .065 .171 .409 .732 .942 .829 .444 .104 .000 .086 .181 .400 .739 1.000 .908 .491 .115 .000 .108 .188 .368 .684 .979 .937 .534 .140 .003 .134 .201 .333 .591 .883 .904 .559 .171 .011 .163 .228 .315 .500 .746 .806 .539 .190 .022 .193 .269 .325 .439 .611 .669 .469 .179 .027 146 1.156 5446 -9.781 9.94624 .015354 .119805 -.020938 Correlation Surface at 246 5446 .145 .001 .036 .008 .000 .003 .047 .097 .002 .214 .021 .014 .001 .018 .029 .022 .099 .003 .367 .111 .002 .036 .331 .261 .000 .051 .030 .399 .061 .010 .202 .987 .813 .006 .005 .048 .256 .000 .006 .296 1.000 .877 .063 .008 .003 .135 .004 .005 .174 .349 .303 .029 .041 .004 .051 .019 .001 .028 .032 .029 .013 .099 .016 .008 .060 .028 .000 .021 .029 .045 .170 .082 .002 .022 .006 .000 .157 .246 .000 .170 .215 r_peak,r_snr = 8.73472E-02 8.38194 Correlation Surface of oversamples image at 246 5446 .319 .149 .020 .011 .061 .068 .063 .107 .217 .215 .096 .001 .096 .243 .210 .109 .080 .130 .117 .035 .019 .280 .544 .433 .176 .061 .059 .043 .002 .092 .511 .861 .685 .282 .068 .027 .004 .014 .193 .661 1.000 .820 .383 .099 .020 .007 .069 .262 .623 .850 .711 .385 .119 .016 .047 .143 .265 .433 .517 .426 .252 .076 .002 .082 .173 .189 .196 .190 .139 .070 .006 .023 .078 .148 .096 .047 .027 .010 .000 .035 .161 246 6.563 5446 -1.531 8.38194 .064600 .096400 .024611 Correlation Surface at 346 5446 .071 .004 .183 .317 .086 .023 .000 .092 .035 .318 .112 .053 .333 .155 .051 .000 .080 .096 .561 .455 .038 .369 .507 .023 .135 .212 .150 .515 .827 .233 .429 .948 .015 .358 .387 .167 .425 1.127 .334 .435 1.000 .020 .265 .373 .206 .288 .752 .108 .431 .524 .005 .115 .198 .199 .095 .272 .021 .510 .104 .014 .070 .064 .099 .057 .311 .025 .324 .015 .021 .079 .056 .063 .146 .639 .111 .020 .021 .016 .046 .123 .090 r_peak,r_snr = 8.23846E-02 7.02731 Correlation Surface of oversamples image at 346 5446 .116 .006 .122 .159 .095 .049 .020 .001 .019 .205 .001 .182 .330 .246 .105 .016 .006 .088 .265 .001 .277 .592 .507 .212 .019 .030 .194 .296 .001 .359 .852 .813 .367 .034 .044 .274 .311 .000 .363 .953 1.000 .506 .067 .034 .287 .285 .000 .297 .838 .960 .560 .109 .013 .228 .185 .001 .235 .613 .741 .512 .143 .001 .132 .058 .025 .228 .412 .468 .377 .142 .002 .062 .000 .134 .297 .293 .249 .220 .104 .004 .030 346 3.281 5446 .563 7.02731 .015089 .184257 .002346 Correlation Surface at 546 5446 .125 .207 .422 .628 .659 .465 .282 .281 .355 .113 .186 .343 .548 .648 .437 .309 .295 .290 .147 .250 .355 .562 .724 .465 .350 .341 .276 .191 .296 .378 .641 .873 .513 .328 .327 .272 .238 .303 .355 .685 1.000 .558 .298 .287 .247 .305 .314 .322 .653 .966 .577 .318 .319 .240 .334 .300 .290 .591 .807 .526 .326 .365 .262 .282 .254 .282 .590 .724 .432 .267 .350 .282 .220 .239 .322 .619 .725 .366 .194 .289 .259 r_peak,r_snr = .3270003 4.47329 Correlation Surface of oversamples image at 546 5446 .332 .433 .567 .664 .642 .503 .350 .266 .249 .348 .456 .618 .754 .750 .587 .387 .270 .236 .358 .471 .657 .837 .864 .686 .440 .284 .231 .355 .471 .675 .893 .956 .775 .494 .306 .235 .343 .458 .669 .908 1.000 .828 .532 .327 .247 .326 .438 .644 .880 .980 .823 .538 .337 .259 .310 .417 .610 .822 .907 .761 .504 .325 .261 .299 .405 .586 .762 .811 .667 .441 .291 .247 .296 .406 .578 .717 .720 .565 .364 .241 .216 546 -.063 5446 .594 4.47329 .005274 .087995 -.002197 Correlation Surface at 646 5446 .517 .483 .559 .764 .929 .774 .564 .493 .471 .542 .512 .574 .756 .852 .703 .567 .508 .452 .563 .587 .655 .809 .842 .650 .567 .559 .516 .553 .628 .714 .857 .929 .706 .599 .598 .552 .554 .635 .721 .841 1.000 .827 .673 .621 .534 .621 .718 .776 .798 .927 .859 .735 .637 .503 .667 .834 .875 .754 .739 .741 .721 .627 .494 .625 .834 .917 .735 .601 .645 .717 .624 .513 .590 .738 .863 .745 .593 .663 .760 .624 .506 r_peak,r_snr = .4167026 1.99425 Correlation Surface of oversamples image at 646 5446 2.363 2.971 3.591 3.991 4.000 3.646 3.101 2.559 2.112 2.286 2.837 3.424 3.825 3.831 3.460 2.930 2.456 2.101 2.283 2.751 3.265 3.619 3.594 3.208 2.703 2.306 2.052 2.377 2.751 3.170 3.455 3.389 2.988 2.499 2.158 1.992 2.532 2.833 3.174 3.397 3.298 2.879 2.385 2.064 1.954 646 -.250 5446 -3.813 1.99425 .014860 .062733 -.014173 Correlation Surface at 746 5446 .132 .152 .150 .360 .437 .195 .135 .172 .186 .111 .154 .135 .330 .495 .229 .135 .173 .171 .099 .146 .137 .352 .596 .289 .153 .171 .131 .097 .130 .126 .419 .787 .382 .187 .202 .143 .073 .103 .111 .451 1.000 .537 .242 .258 .215 .043 .070 .088 .352 .974 .697 .328 .284 .274 .056 .074 .078 .210 .688 .701 .390 .246 .247 .101 .137 .120 .175 .479 .573 .357 .173 .194 .096 .191 .210 .216 .398 .454 .266 .123 .197 r_peak,r_snr = .246239 5.4437 Correlation Surface of oversamples image at 746 5446 .120 .186 .348 .526 .553 .401 .207 .099 .077 .139 .215 .397 .608 .669 .515 .283 .144 .113 .146 .232 .440 .701 .807 .651 .378 .204 .164 .141 .231 .463 .774 .931 .783 .475 .269 .220 .127 .214 .451 .792 1.000 .882 .562 .329 .269 .111 .186 .398 .733 .984 .930 .631 .381 .304 .095 .151 .319 .612 .885 .914 .674 .424 .325 .085 .121 .242 .479 .747 .846 .686 .455 .331 .089 .109 .193 .376 .619 .759 .672 .469 .324 746 .125 5446 .250 5.44370 .007392 .095577 -.012727 Correlation Surface at 846 5446 .204 .316 .568 .864 .884 .600 .345 .269 .271 .227 .347 .583 .909 .935 .609 .368 .291 .282 .241 .308 .523 .851 .911 .612 .415 .336 .295 .245 .259 .467 .813 .919 .652 .437 .373 .323 .228 .234 .439 .801 1.000 .749 .431 .338 .328 .219 .228 .406 .738 .995 .803 .407 .267 .281 .226 .231 .394 .666 .891 .771 .375 .221 .218 .221 .233 .406 .649 .857 .738 .339 .202 .190 .210 .209 .384 .659 .878 .732 .322 .188 .195 r_peak,r_snr = .4047514 3.23506 Correlation Surface of oversamples image at 846 5446 .333 .480 .664 .847 .938 .876 .700 .495 .331 .363 .502 .686 .881 .986 .926 .734 .512 .340 .371 .503 .681 .881 1.000 .953 .759 .530 .357 .352 .480 .653 .852 .978 .946 .761 .537 .371 .313 .443 .617 .811 .942 .920 .748 .532 .378 .272 .405 .583 .778 .913 .901 .739 .530 .381 .241 .375 .556 .755 .900 .903 .750 .540 .385 846 -.344 5446 -1.781 3.23506 .012160 .188313 -.029549 Correlation Surface at 946 5446 .081 .644 .610 .026 .055 .001 .008 .008 .007 .066 .188 .415 .092 .011 .056 .015 .082 .166 .072 .044 .416 .406 .101 .048 .052 .177 .278 .043 .013 .447 .949 .615 .016 .010 .107 .119 .000 .040 .109 .957 1.000 .227 .022 .002 .001 .031 .379 .051 .401 .782 .369 .125 .043 .061 r_peak,r_snr = 8.35130E-02 7.83188 Correlation Surface of oversamples image at 946 5446 .000 .018 .179 .342 .186 .015 .018 .067 .058 .001 .025 .274 .565 .412 .118 .003 .013 .019 .002 .042 .394 .817 .687 .298 .064 .005 .000 .007 .039 .432 .962 .919 .512 .202 .077 .033 .035 .008 .309 .869 1.000 .703 .394 .219 .108 .113 .010 .117 .588 .892 .807 .589 .392 .197 .239 .099 .007 .295 .676 .805 .742 .568 .305 .364 .244 .022 .096 .422 .675 .769 .683 .415 .403 .320 .080 .015 .210 .457 .636 .671 .490 946 5.781 5446 12.250 7.83188 .129239 .281182 -.145917 Correlation Surface at 1046 5446 .015 .018 .031 .096 .241 .245 .088 .000 .000 .008 .019 .025 .045 .161 .210 .044 .000 .000 .000 .000 .012 .103 .337 .221 .017 .006 .008 .000 .028 .004 .272 .816 .343 .027 .002 .007 .001 .034 .001 .399 1.000 .388 .072 .026 .005 .017 .004 .001 .289 .646 .219 .072 .107 .055 .057 .011 .003 .143 .317 .071 .020 .103 .094 .082 .042 .019 .115 .237 .044 .001 .068 .092 .058 .054 .057 .184 .326 .075 .001 .058 .115 r_peak,r_snr = .1722488 16.67416 Correlation Surface of oversamples image at 1046 5446 .000 .008 .034 .131 .313 .403 .269 .076 .002 .000 .016 .085 .261 .503 .560 .342 .098 .004 .001 .032 .168 .447 .740 .751 .456 .157 .025 .001 .051 .262 .631 .937 .892 .557 .240 .082 .000 .066 .329 .737 1.000 .899 .575 .300 .161 .000 .067 .336 .720 .903 .757 .481 .285 .206 .000 .054 .282 .599 .706 .540 .321 .200 .180 .000 .041 .213 .454 .510 .350 .178 .103 .108 .002 .035 .168 .354 .387 .238 .092 .038 .043 1046 .125 5446 -.125 16.67417 .008352 .041325 .002420 Correlation Surface at 1146 5446 .129 .201 .358 .529 .654 .773 .554 .373 .237 .126 .138 .230 .484 .649 .834 .512 .323 .177 .110 .116 .187 .516 .710 .772 .449 .195 .080 .085 .092 .151 .542 .981 .869 .526 .172 .049 .049 .049 .089 .425 1.000 .892 .633 .278 .075 .027 .028 .050 .290 .736 .610 .502 .349 .123 .026 .025 .048 .255 .536 .393 .278 .207 .140 .025 .010 .049 .275 .468 .363 .195 .097 .119 .006 .001 .024 .251 .467 .447 .249 .100 .087 r_peak,r_snr = .167289 6.01724 Correlation Surface of oversamples image at 1146 5446 .329 .482 .597 .719 .800 .765 .627 .456 .331 .311 .497 .645 .759 .799 .731 .582 .403 .259 .300 .518 .717 .844 .857 .760 .593 .398 .230 .279 .522 .774 .936 .952 .842 .663 .453 .259 .239 .484 .764 .958 1.000 .905 .742 .548 .343 .181 .398 .663 .858 .921 .865 .754 .617 .446 .123 .296 .516 .679 .733 .711 .662 .600 .500 .079 .210 .384 .506 .530 .513 .499 .486 .447 .052 .156 .299 .388 .382 .349 .336 .330 .315 1146 6.375 5446 7.406 6.01724 .024814 .148329 -.005765 Correlation Surface at 1246 5446 .006 .003 .015 .064 .106 .051 .000 .000 .001 .034 .003 .019 .093 .196 .105 .000 .001 .000 .068 .026 .012 .117 .408 .211 .015 .002 .002 .108 .030 .004 .203 .848 .376 .023 .007 .006 .073 .007 .000 .264 1.000 .399 .012 .003 .000 .016 .000 .002 .149 .584 .239 .013 .002 .003 .001 .001 .001 .035 .246 .154 .029 .011 .002 .001 .001 .000 .018 .168 .179 .050 .011 .000 .013 .005 .000 .018 .088 .132 .042 .020 .003 r_peak,r_snr = .1898962 21.45297 Correlation Surface of oversamples image at 1246 5446 .021 .065 .136 .191 .206 .180 .121 .048 .005 .024 .072 .179 .301 .345 .288 .185 .083 .019 .026 .086 .247 .471 .577 .471 .281 .126 .036 .022 .097 .318 .658 .844 .682 .375 .152 .044 .010 .088 .343 .757 1.000 .797 .402 .138 .033 .001 .056 .293 .695 .938 .734 .334 .089 .013 .003 .022 .193 .511 .708 .545 .222 .042 .002 .014 .003 .094 .303 .443 .337 .125 .015 .000 .022 .001 .035 .159 .257 .202 .074 .008 .000 1246 .031 5446 -.375 21.45298 .005491 .029058 .000644 Correlation Surface at 1346 5446 .008 .004 .102 .407 .665 .600 .259 .054 .008 .001 .013 .109 .414 .696 .611 .254 .043 .002 .000 .029 .134 .442 .813 .675 .263 .059 .003 .001 .037 .150 .480 .955 .696 .250 .086 .012 .010 .031 .144 .511 1.000 .637 .222 .107 .030 .007 .027 .134 .502 .920 .534 .186 .101 .037 .000 .033 .126 .462 .785 .444 .163 .085 .025 .003 .045 .139 .440 .675 .411 .184 .086 .015 .000 .045 .152 .409 .575 .410 .226 .102 .014 r_peak,r_snr = .3327595 7.70361 Correlation Surface of oversamples image at 1346 5446 .156 .254 .427 .666 .853 .858 .678 .446 .265 .158 .254 .444 .714 .912 .885 .670 .425 .248 .153 .257 .472 .771 .962 .895 .647 .395 .225 .144 .258 .499 .819 .994 .888 .617 .365 .203 .133 .254 .509 .841 1.000 .866 .586 .340 .188 .123 .243 .500 .827 .976 .830 .554 .323 .181 .119 .235 .479 .791 .930 .785 .525 .313 .181 .125 .236 .464 .750 .877 .740 .499 .307 .187 .139 .247 .455 .709 .818 .691 .472 .300 .190 1346 .031 5446 1.313 7.70361 .004739 .145265 .009871 Correlation Surface at 1446 5446 .022 .013 .000 .009 .010 .000 .000 .003 .000 .014 .017 .000 .015 .032 .001 .005 .000 .000 .005 .021 .008 .017 .128 .022 .003 .007 .001 .001 .009 .009 .054 .479 .175 .010 .004 .000 .007 .003 .001 .185 1.000 .423 .038 .001 .006 .059 .020 .011 .225 .869 .340 .008 .009 .007 .119 .103 .002 .103 .325 .084 .001 .020 .003 .060 .126 .001 .033 .149 .024 .000 .007 .010 .004 .038 .000 .022 .184 .069 .002 .002 .049 r_peak,r_snr = .1706343 27.14741 Correlation Surface of oversamples image at 1446 5446 .027 .005 .013 .110 .203 .172 .086 .029 .005 .024 .001 .042 .233 .406 .347 .186 .080 .032 .013 .001 .098 .412 .681 .587 .325 .150 .068 .003 .011 .164 .573 .917 .799 .449 .202 .083 .000 .030 .212 .643 1.000 .875 .490 .205 .068 .003 .047 .223 .593 .889 .769 .419 .156 .037 .003 .050 .191 .459 .659 .549 .281 .088 .012 .000 .035 .137 .316 .439 .345 .157 .040 .003 .004 .014 .082 .209 .295 .220 .087 .017 .001 1446 .125 5446 .469 27.14741 .006003 .026836 .000748 Correlation Surface at 1546 5446 .010 .004 .000 .128 .193 .030 .004 .002 .003 .044 .028 .002 .156 .277 .072 .001 .003 .001 .100 .065 .002 .220 .513 .176 .000 .014 .007 .140 .072 .000 .276 .862 .383 .001 .040 .029 .113 .040 .000 .252 1.000 .507 .006 .043 .031 .073 .013 .002 .171 .789 .433 .007 .022 .016 .045 .002 .007 .140 .497 .262 .005 .008 .006 .026 .000 .021 .164 .323 .157 .013 .001 .002 .015 .000 .035 .179 .255 .143 .041 .001 .000 r_peak,r_snr = .2072656 15.48602 Correlation Surface of oversamples image at 1546 5446 .007 .018 .164 .365 .417 .298 .141 .035 .000 .006 .021 .196 .478 .610 .481 .241 .063 .000 .002 .031 .232 .590 .818 .696 .371 .102 .002 .000 .044 .256 .657 .967 .880 .497 .147 .005 .006 .055 .250 .643 1.000 .972 .579 .182 .010 .015 .061 .220 .562 .922 .955 .598 .197 .015 .024 .061 .184 .454 .770 .833 .539 .181 .016 .029 .062 .159 .361 .595 .645 .419 .137 .011 .035 .071 .158 .306 .452 .461 .290 .092 .007 1546 .219 5446 .031 15.48603 .005473 .064783 -.003717 Correlation Surface at 1646 5446 .003 .010 .067 .236 .356 .211 .073 .004 .016 .006 .010 .061 .274 .453 .244 .067 .006 .012 .002 .006 .059 .338 .627 .334 .073 .012 .004 .000 .002 .063 .414 .861 .464 .086 .015 .000 .006 .000 .073 .463 1.000 .535 .090 .013 .000 .012 .000 .081 .441 .880 .472 .085 .011 .001 .013 .001 .081 .375 .634 .348 .077 .013 .000 .009 .002 .076 .316 .475 .262 .077 .019 .000 .005 .004 .071 .275 .397 .235 .097 .031 .000 r_peak,r_snr = .4623406 13.30601 Correlation Surface of oversamples image at 1646 5446 .117 .243 .462 .694 .778 .644 .397 .191 .081 .118 .247 .478 .741 .857 .724 .448 .211 .083 .123 .252 .490 .779 .932 .806 .501 .231 .086 .129 .259 .496 .801 .986 .871 .545 .246 .087 .137 .268 .498 .801 1.000 .899 .566 .254 .087 .145 .276 .493 .773 .963 .873 .556 .251 .086 .150 .280 .477 .720 .879 .798 .513 .236 .083 .152 .280 .460 .662 .784 .704 .458 .217 .079 .154 .279 .445 .617 .705 .621 .407 .199 .076 1646 .094 5446 -.063 13.30601 .001445 .013397 .000100 Correlation Surface at 1746 5446 .013 .100 .102 .001 .023 .088 .005 .026 .002 .014 .043 .040 .001 .021 .047 .018 .000 .002 .003 .002 .033 .022 .104 .060 .055 .012 .011 .021 .005 .071 .140 .510 .260 .122 .035 .000 .020 .023 .101 .281 1.000 .513 .127 .040 .052 .024 .005 .070 .246 .608 .295 .059 .038 .113 .053 .003 .053 .130 .101 .035 .017 .070 .179 .140 .028 .061 .090 .007 .001 .007 .089 .306 .230 .056 .062 .099 .001 .001 .001 .009 .204 r_peak,r_snr = .1035621 12.181 Correlation Surface of oversamples image at 1746 5446 .007 .011 .055 .166 .223 .165 .085 .039 .032 .032 .049 .149 .339 .413 .296 .147 .065 .049 .078 .121 .296 .590 .686 .480 .229 .097 .064 .127 .204 .452 .834 .931 .628 .290 .122 .076 .160 .262 .544 .944 1.000 .636 .288 .128 .083 .171 .275 .526 .843 .838 .496 .223 .116 .091 .154 .228 .381 .550 .508 .278 .129 .090 .101 .120 .147 .194 .235 .195 .097 .052 .063 .114 .090 .078 .065 .054 .036 .017 .015 .044 .127 1746 .313 5446 -.063 12.18100 .021818 .044144 .002007 Correlation Surface at 1846 5446 .056 .094 .169 .309 .408 .306 .145 .102 .088 .057 .075 .138 .292 .438 .311 .129 .091 .086 .072 .064 .107 .297 .496 .346 .137 .091 .090 .084 .069 .117 .404 .732 .488 .189 .112 .096 .077 .068 .135 .531 1.000 .642 .241 .124 .092 .072 .057 .118 .472 .899 .584 .234 .104 .074 .072 .049 .094 .317 .566 .416 .213 .087 .059 .071 .054 .099 .254 .391 .337 .225 .097 .058 .064 .064 .118 .275 .406 .359 .252 .122 .067 r_peak,r_snr = .5248443 9.23208 Correlation Surface of oversamples image at 1846 5446 .080 .164 .293 .428 .495 .450 .331 .214 .139 .085 .186 .347 .512 .585 .521 .380 .248 .164 .100 .230 .437 .645 .725 .634 .454 .294 .196 .121 .284 .541 .796 .887 .760 .531 .336 .220 .137 .320 .611 .901 1.000 .846 .578 .356 .229 .135 .315 .604 .895 .998 .843 .570 .348 .220 .115 .269 .520 .777 .874 .746 .512 .317 .201 .090 .210 .408 .611 .694 .604 .430 .281 .184 .073 .164 .314 .466 .533 .478 .361 .254 .175 1846 -.063 5446 .250 9.23208 .001394 .004858 -.000043 Correlation Surface at 1946 5446 .009 .006 .000 .008 .065 .013 .007 .001 .004 .010 .010 .005 .047 .160 .024 .005 .000 .004 .004 .009 .021 .147 .389 .072 .002 .001 .004 .000 .004 .018 .264 .794 .192 .000 .001 .002 .001 .002 .012 .306 1.000 .278 .000 .000 .000 .001 .004 .011 .235 .679 .180 .002 .001 .000 .000 .004 .007 .141 .325 .057 .006 .000 .001 .000 .001 .000 .073 .202 .020 .008 .000 .003 .000 .000 .001 .031 .164 .021 .007 .000 .003 r_peak,r_snr = .3543369 53.36957 Correlation Surface of oversamples image at 1946 5446 .037 .061 .148 .304 .393 .276 .083 .003 .002 .046 .089 .222 .455 .594 .436 .150 .013 .000 .049 .112 .297 .617 .811 .606 .220 .025 .000 .049 .129 .357 .743 .972 .726 .270 .033 .000 .046 .135 .381 .780 1.000 .737 .275 .034 .000 .042 .128 .359 .709 .878 .629 .227 .026 .001 .036 .111 .302 .567 .667 .456 .153 .013 .002 .030 .089 .233 .416 .462 .294 .087 .004 .004 .022 .065 .169 .294 .314 .187 .047 .001 .005 1946 .000 5446 -.156 53.36958 .001447 .008111 -.000038 Correlation Surface at 2046 5446 .000 .004 .000 .001 .015 .002 .001 .001 .003 .000 .000 .002 .002 .031 .000 .002 .001 .001 .002 .007 .012 .003 .122 .024 .001 .001 .006 .014 .008 .007 .039 .555 .258 .005 .002 .002 .020 .001 .000 .093 1.000 .628 .035 .003 .000 .008 .002 .003 .047 .576 .468 .041 .000 .001 .003 .009 .011 .018 .135 .148 .015 .000 .008 .006 .005 .026 .045 .072 .060 .003 .000 .017 .009 .000 .020 .078 .089 .054 .005 .001 .013 r_peak,r_snr = .26654 52.57266 Correlation Surface of oversamples image at 2046 5446 .001 .016 .069 .109 .073 .018 .000 .008 .015 .001 .026 .129 .246 .215 .093 .013 .002 .017 .002 .045 .228 .473 .477 .257 .064 .001 .015 .004 .065 .333 .723 .789 .479 .150 .010 .010 .005 .076 .389 .866 1.000 .661 .243 .030 .003 .005 .069 .355 .809 .983 .707 .300 .056 .000 .004 .048 .251 .592 .763 .600 .291 .072 .003 .004 .030 .145 .354 .487 .418 .227 .068 .007 .006 .023 .083 .195 .279 .253 .147 .048 .007 2046 .406 5446 .188 52.57267 .002643 .006504 -.000372 At line = 5800 Reading in data.... Correlation Surface at 146 5846 .003 .000 .033 .287 .628 .529 .195 .004 .001 .002 .003 .065 .303 .558 .456 .173 .006 .001 .003 .002 .100 .372 .616 .441 .150 .017 .000 .008 .000 .104 .470 .823 .519 .162 .030 .001 .006 .000 .074 .471 1.000 .632 .168 .021 .004 .001 .000 .041 .360 .981 .722 .184 .022 .019 .000 .001 .033 .268 .806 .736 .232 .057 .057 .002 .000 .044 .269 .678 .671 .262 .085 .062 .015 .006 .045 .324 .701 .594 .218 .047 .021 r_peak,r_snr = .2685078 10.65794 Correlation Surface of oversamples image at 146 5846 .122 .253 .433 .594 .663 .615 .472 .313 .188 .116 .264 .484 .696 .785 .701 .506 .320 .192 .100 .253 .505 .773 .902 .802 .560 .341 .193 .078 .222 .486 .800 .979 .890 .621 .366 .191 .057 .183 .440 .776 1.000 .944 .674 .391 .188 .044 .150 .384 .714 .962 .948 .705 .414 .191 .041 .131 .339 .641 .885 .905 .707 .431 .203 .046 .132 .316 .582 .805 .844 .689 .444 .224 .056 .143 .310 .541 .736 .781 .661 .449 .243 146 .156 5846 -.469 10.65795 .007512 .111678 -.013397 Correlation Surface at 246 5846 .013 .001 .011 .107 .259 .221 .212 .078 .001 .043 .009 .022 .188 .363 .277 .143 .017 .005 .046 .007 .079 .379 .566 .345 .055 .005 .025 .016 .000 .116 .500 .908 .509 .047 .019 .013 .008 .000 .062 .377 1.000 .609 .071 .014 .002 .004 .004 .006 .183 .695 .435 .045 .016 .001 .005 .000 .000 .084 .389 .209 .006 .012 .000 .051 .040 .006 .062 .254 .114 .000 .002 .004 .059 .077 .033 .085 .187 .081 .002 .003 .000 r_peak,r_snr = .1876075 17.20519 Correlation Surface of oversamples image at 246 5846 .041 .164 .365 .564 .642 .538 .342 .171 .063 .051 .203 .430 .633 .706 .591 .369 .162 .037 .060 .219 .461 .701 .816 .702 .434 .175 .027 .060 .197 .433 .731 .938 .852 .529 .207 .028 .043 .138 .343 .683 1.000 .963 .599 .231 .033 .019 .072 .227 .566 .960 .982 .606 .227 .033 .004 .027 .128 .421 .828 .907 .562 .204 .030 .000 .007 .065 .283 .637 .750 .474 .168 .025 .000 .002 .034 .180 .447 .559 .364 .128 .019 246 .250 5846 -.250 17.20519 .010611 .063598 -.007632 Correlation Surface at 346 5846 .003 .366 .122 .072 .515 .437 .349 .028 .023 .000 .453 .127 .303 1.000 .539 .332 .081 .017 .005 .291 .140 .286 .926 .321 .163 .092 .018 .001 .297 .313 .015 .299 .079 .026 .011 .057 .071 .515 .563 .126 .013 .051 .045 .001 .140 .351 .547 .543 .298 .015 .094 .222 .017 .066 r_peak,r_snr = 8.02960E-02 7.8062 Correlation Surface of oversamples image at 346 5846 .001 .011 .052 .127 .269 .406 .397 .273 .137 .022 .004 .062 .174 .351 .510 .505 .357 .180 .038 .013 .134 .320 .531 .673 .645 .467 .249 .041 .041 .278 .565 .790 .867 .785 .577 .333 .038 .070 .423 .804 1.000 .970 .814 .595 .370 .047 .056 .429 .853 .997 .867 .659 .463 .298 .090 .008 .262 .639 .744 .585 .391 .248 .157 .183 .018 .067 .312 .394 .282 .158 .082 .047 .326 .139 .001 .073 .129 .087 .039 .015 .006 346 -.938 5846 -13.781 7.80620 .044436 .188740 .032945 Correlation Surface at 446 5846 .348 .235 .070 .154 .286 .102 .000 .019 .117 .098 .012 .066 .178 .166 .003 .064 .017 .015 .001 .110 .309 .262 .009 .066 .011 .035 .043 .458 .695 .219 .006 .007 .020 .104 .262 .953 1.000 .089 .000 .007 .030 .100 .313 .908 .810 .012 .009 .005 .019 .048 .146 .416 .311 .002 .031 .009 .002 .004 .043 .191 .123 .003 .045 .077 .002 .002 .028 .235 .209 .006 .056 .144 r_peak,r_snr = 9.98795E-02 9.61152 Correlation Surface of oversamples image at 446 5846 .004 .008 .041 .138 .262 .335 .326 .232 .082 .016 .040 .126 .297 .463 .502 .390 .205 .053 .043 .115 .285 .540 .727 .685 .431 .162 .026 .072 .200 .451 .764 .941 .794 .416 .106 .006 .087 .253 .545 .865 1.000 .774 .341 .052 .001 .080 .241 .508 .774 .857 .615 .222 .012 .019 .054 .173 .364 .542 .582 .385 .104 .000 .059 .027 .098 .211 .312 .328 .199 .033 .012 .098 .008 .044 .109 .168 .185 .108 .010 .022 .110 446 10.469 5846 -8.594 9.61152 .040600 .211510 .059017 Correlation Surface at 546 5846 .194 .297 .585 .685 .507 .357 .282 .199 .074 .150 .268 .549 .692 .623 .517 .397 .242 .100 .156 .244 .452 .701 .776 .699 .540 .283 .105 .221 .258 .384 .739 .933 .804 .584 .310 .104 .259 .288 .401 .795 1.000 .771 .486 .293 .126 .217 .292 .452 .778 .885 .644 .375 .249 .162 .179 .277 .477 .707 .719 .528 .323 .206 .163 .184 .286 .487 .668 .648 .473 .290 .165 .122 .194 .302 .469 .630 .630 .468 .275 .145 .094 r_peak,r_snr = .3085583 5.47713 Correlation Surface of oversamples image at 546 5846 .442 .604 .740 .802 .776 .713 .659 .620 .572 .398 .570 .739 .846 .856 .794 .718 .656 .598 .364 .543 .741 .890 .931 .867 .756 .656 .583 .347 .533 .752 .926 .984 .909 .762 .625 .534 .351 .542 .768 .947 1.000 .908 .735 .576 .474 .366 .555 .774 .937 .968 .861 .686 .526 .421 .381 .556 .749 .881 .887 .778 .623 .481 .382 .389 .541 .700 .797 .783 .683 .558 .442 .355 .391 .521 .648 .717 .693 .602 .501 .408 .331 546 -.063 5846 -1.031 5.47713 .018715 .090421 .015186 Correlation Surface at 646 5846 .018 .223 .371 .514 .680 .198 .005 .002 .003 .000 .096 .373 .343 .280 .145 .035 .016 .016 .001 .011 .147 .202 .202 .177 .217 .179 .082 .000 .006 .074 .340 .559 .390 .411 .335 .132 .000 .020 .085 .592 1.000 .632 .388 .179 .046 .006 .015 .066 .503 .931 .594 .271 .071 .006 .005 .017 .052 .224 .561 .358 .190 .063 .008 .019 .091 .120 .136 .320 .186 .159 .083 .012 .178 .225 .195 .161 .269 .213 .183 .130 .028 r_peak,r_snr = .1101683 10.01054 Correlation Surface of oversamples image at 646 5846 .074 .141 .230 .323 .344 .262 .168 .137 .146 .081 .200 .383 .561 .595 .445 .265 .174 .144 .080 .243 .516 .782 .835 .628 .368 .210 .133 .060 .234 .561 .894 .982 .759 .456 .247 .129 .029 .177 .501 .867 1.000 .805 .505 .278 .136 .011 .116 .393 .749 .916 .769 .505 .294 .153 .007 .081 .297 .603 .772 .671 .458 .289 .173 .014 .074 .230 .459 .593 .524 .369 .254 .182 .039 .085 .182 .321 .402 .359 .262 .198 .175 646 -.094 5846 5.781 10.01054 .051023 .110093 -.002002 Correlation Surface at 746 5846 .093 .170 .189 .236 .377 .455 .153 .043 .077 .036 .117 .178 .211 .440 .497 .203 .125 .181 .033 .087 .162 .287 .634 .493 .315 .308 .331 .048 .090 .147 .433 .951 .570 .409 .449 .401 .060 .126 .117 .358 1.000 .645 .457 .569 .443 .078 .151 .085 .140 .738 .615 .476 .756 .541 .095 .137 .104 .108 .564 .519 .459 .785 .486 .087 .103 .194 .316 .638 .456 .410 .498 .229 .060 .069 .234 .559 .775 .417 .321 .237 .054 r_peak,r_snr = .15854 5.99086 Correlation Surface of oversamples image at 746 5846 .053 .122 .247 .367 .418 .425 .389 .286 .175 .043 .123 .289 .470 .540 .488 .384 .277 .199 .040 .135 .353 .616 .719 .601 .411 .281 .221 .041 .149 .414 .759 .902 .723 .450 .289 .235 .040 .146 .429 .825 1.000 .787 .461 .281 .233 .035 .119 .375 .770 .968 .765 .436 .256 .219 .030 .081 .277 .634 .849 .692 .399 .234 .209 .027 .051 .182 .475 .698 .608 .370 .223 .208 .035 .040 .124 .354 .572 .547 .364 .231 .217 746 -.031 5846 -1.344 5.99086 .017934 .161053 -.025848 Correlation Surface at 846 5846 .271 .424 .520 .615 .720 .756 .628 .578 .488 .206 .385 .529 .588 .670 .733 .646 .597 .513 .193 .355 .567 .659 .747 .734 .605 .561 .459 .230 .360 .610 .841 .928 .778 .600 .525 .378 .287 .384 .571 .927 1.000 .801 .632 .501 .321 .305 .376 .424 .750 .901 .795 .672 .523 .323 .262 .329 .298 .525 .799 .797 .702 .603 .383 .190 .265 .271 .453 .799 .837 .715 .658 .455 .131 .208 .303 .493 .808 .858 .675 .575 .448 r_peak,r_snr = .3305109 3.22963 Correlation Surface of oversamples image at 846 5846 .576 1.225 2.207 2.895 2.941 2.719 2.712 2.888 2.944 .498 1.097 2.102 2.909 3.066 2.866 2.818 2.992 3.110 .521 1.102 2.132 3.058 3.317 3.080 2.897 2.971 3.081 .638 1.239 2.305 3.353 3.717 3.416 3.041 2.921 2.927 846 .500 5846 2.813 3.22963 .033424 .079841 -.012787 Correlation Surface at 946 5846 .047 .053 .018 .011 .351 .239 .060 .147 .094 .001 .001 .003 .001 .187 .100 .055 .100 .053 .043 .173 .092 .114 .357 .094 .047 .071 .017 .113 .344 .320 .529 .756 .157 .063 .108 .038 .102 .152 .161 .732 1.000 .134 .047 .153 .094 .027 .000 .000 .419 .935 .063 .003 .064 .067 .001 .072 .073 .115 .545 .025 .005 .002 .009 .002 .063 .034 .045 .158 .011 .004 .003 .000 .027 .001 .007 .102 .063 .003 .000 .001 .000 r_peak,r_snr = .1029751 7.82021 Correlation Surface of oversamples image at 946 5846 .243 .150 .111 .172 .266 .223 .073 .003 .005 .362 .264 .235 .355 .499 .399 .150 .018 .001 .366 .302 .322 .528 .754 .619 .265 .056 .003 .255 .233 .309 .606 .939 .817 .385 .105 .017 .120 .118 .215 .559 1.000 .947 .483 .148 .034 .033 .036 .110 .433 .942 .998 .551 .181 .045 .002 .002 .037 .282 .774 .930 .556 .188 .044 .004 .003 .006 .155 .547 .746 .487 .173 .038 .011 .010 .000 .077 .330 .511 .380 .158 .041 946 -.250 5846 1.250 7.82021 .021001 .372435 .009422 Correlation Surface at 1046 5846 .110 .008 .062 .219 .476 .317 .020 .001 .001 .155 .010 .041 .208 .374 .354 .073 .006 .000 .105 .002 .016 .269 .492 .393 .118 .010 .001 .039 .001 .010 .435 .901 .431 .070 .001 .000 .008 .003 .021 .503 1.000 .305 .013 .000 .003 .002 .002 .051 .334 .537 .107 .000 .001 .005 .005 .029 .094 .172 .181 .017 .007 .006 .003 .004 .053 .117 .118 .072 .000 .027 .019 .004 .001 .035 .082 .069 .020 .006 .039 .017 .011 r_peak,r_snr = .1753811 16.56004 Correlation Surface of oversamples image at 1046 5846 .023 .061 .132 .240 .351 .373 .283 .155 .063 .010 .057 .171 .344 .490 .486 .349 .193 .085 .004 .058 .236 .510 .699 .633 .405 .203 .084 .001 .066 .309 .687 .908 .759 .425 .179 .064 .001 .075 .354 .780 1.000 .786 .389 .132 .037 .003 .081 .344 .728 .905 .676 .300 .080 .016 .008 .082 .286 .562 .672 .476 .187 .036 .004 .018 .075 .208 .369 .415 .272 .089 .009 .000 .029 .067 .143 .221 .223 .128 .029 .000 .004 1046 .000 5846 -.500 16.56005 .008483 .035067 .003934 Correlation Surface at 1146 5846 .044 .058 .080 .078 .002 .015 .015 .040 .280 .081 .189 .166 .045 .005 .000 .000 .064 .335 .076 .189 .100 .001 .158 .046 .000 .101 .322 .069 .074 .000 .165 .707 .310 .029 .051 .158 .090 .022 .020 .311 1.000 .469 .054 .004 .041 .133 .022 .008 .166 .683 .349 .017 .003 .023 .141 .023 .004 .054 .338 .224 .002 .026 .055 .100 .003 .010 .023 .152 .134 .003 .029 .067 .042 .009 .024 .017 .071 .068 .001 .015 .023 r_peak,r_snr = .1348499 17.08634 Correlation Surface of oversamples image at 1146 5846 .074 .004 .018 .081 .091 .029 .000 .003 .002 .017 .012 .116 .276 .303 .152 .030 .003 .001 .000 .074 .284 .570 .635 .379 .121 .030 .013 .012 .138 .421 .808 .923 .597 .220 .059 .022 .020 .144 .426 .838 1.000 .681 .261 .061 .014 .015 .103 .317 .673 .861 .625 .242 .042 .002 .007 .054 .183 .435 .619 .493 .194 .021 .002 .002 .024 .090 .244 .398 .362 .150 .010 .013 .001 .014 .049 .138 .253 .268 .126 .009 .013 1146 -.094 5846 -.125 17.08634 .012890 .054791 -.000830 Correlation Surface at 1246 5846 .041 .061 .001 .163 .452 .260 .041 .024 .025 .047 .060 .000 .190 .415 .231 .049 .034 .039 .036 .041 .003 .280 .502 .225 .055 .045 .069 .026 .026 .017 .434 .773 .292 .054 .041 .092 .025 .035 .015 .487 1.000 .393 .052 .029 .084 .027 .059 .003 .374 .921 .427 .055 .021 .062 .021 .047 .002 .289 .722 .375 .058 .016 .044 .014 .015 .015 .310 .636 .355 .065 .013 .028 .014 .004 .033 .335 .611 .393 .073 .007 .014 r_peak,r_snr = .3063952 14.88756 Correlation Surface of oversamples image at 1246 5846 .009 .110 .340 .577 .621 .458 .255 .124 .061 .013 .131 .397 .691 .765 .567 .305 .139 .065 .014 .144 .444 .794 .908 .685 .363 .155 .065 .011 .141 .458 .845 .997 .772 .411 .168 .064 .006 .123 .432 .823 1.000 .800 .435 .176 .064 .002 .100 .380 .744 .926 .764 .430 .179 .066 .001 .084 .326 .647 .814 .685 .399 .174 .068 .002 .079 .290 .565 .706 .599 .360 .167 .070 .007 .087 .277 .511 .625 .532 .329 .162 .073 1246 -.031 5846 .250 14.88756 .003160 .031870 -.002244 Correlation Surface at 1346 5846 .034 .086 .177 .370 .500 .465 .279 .187 .152 .032 .074 .146 .316 .488 .471 .271 .188 .141 .037 .067 .125 .303 .559 .527 .302 .238 .174 .038 .067 .124 .359 .808 .717 .404 .307 .204 .045 .076 .137 .404 1.000 .854 .498 .340 .205 .063 .093 .140 .351 .807 .720 .491 .338 .194 .068 .096 .119 .251 .496 .531 .469 .343 .181 .056 .084 .102 .202 .366 .480 .490 .362 .179 .050 .083 .114 .212 .366 .485 .478 .359 .190 r_peak,r_snr = .4409235 7.77988 Correlation Surface of oversamples image at 1346 5846 .265 .375 .512 .620 .642 .563 .439 .335 .282 .263 .399 .579 .723 .744 .638 .489 .374 .314 .272 .435 .663 .848 .870 .734 .558 .427 .355 .290 .472 .736 .953 .973 .813 .619 .478 .393 .313 .496 .765 .986 1.000 .834 .641 .503 .414 .332 .499 .734 .923 .929 .778 .609 .491 .411 .337 .473 .652 .788 .786 .668 .540 .452 .391 .322 .424 .547 .630 .625 .549 .468 .414 .372 .291 .368 .449 .497 .495 .455 .417 .393 .367 1346 .281 5846 -.094 7.77988 .002415 .007846 -.000048 Correlation Surface at 1446 5846 .110 .112 .041 .021 .157 .114 .040 .007 .000 .141 .128 .032 .033 .191 .137 .069 .012 .003 .190 .177 .054 .029 .330 .244 .105 .024 .016 .197 .206 .084 .056 .696 .463 .117 .023 .028 .143 .185 .086 .119 1.000 .532 .088 .013 .015 .074 .126 .047 .149 .792 .382 .070 .016 .004 .030 .059 .008 .111 .443 .271 .077 .027 .001 .010 .017 .000 .064 .298 .261 .078 .023 .000 .007 .004 .008 .062 .256 .255 .066 .015 .000 r_peak,r_snr = .2274751 13.21192 Correlation Surface of oversamples image at 1446 5846 .092 .008 .044 .249 .451 .481 .380 .251 .139 .112 .010 .056 .336 .633 .678 .505 .298 .147 .121 .009 .079 .442 .829 .877 .620 .332 .146 .117 .005 .107 .536 .969 .991 .666 .334 .135 .108 .002 .126 .577 1.000 .979 .627 .300 .118 .100 .001 .128 .550 .917 .862 .534 .252 .103 .092 .001 .111 .465 .758 .702 .434 .212 .096 .081 .002 .082 .354 .584 .559 .363 .192 .101 .066 .002 .054 .249 .439 .457 .332 .197 .116 1446 .250 5846 -.219 13.21192 .003558 .025034 .001762 Correlation Surface at 1546 5846 .000 .027 .141 .291 .319 .151 .049 .028 .016 .001 .025 .127 .275 .333 .149 .030 .012 .007 .001 .020 .104 .305 .450 .206 .035 .006 .004 .000 .023 .101 .423 .765 .379 .060 .009 .004 .001 .034 .116 .506 1.000 .512 .076 .011 .003 .000 .035 .117 .441 .847 .446 .066 .008 .001 .001 .026 .109 .372 .646 .348 .062 .007 .001 .001 .018 .108 .375 .599 .326 .078 .012 .002 .001 .012 .098 .357 .556 .330 .113 .028 .003 r_peak,r_snr = .4336404 16.40004 Correlation Surface of oversamples image at 1546 5846 .095 .182 .305 .429 .474 .393 .243 .116 .048 .090 .189 .348 .527 .612 .519 .318 .146 .057 .091 .203 .404 .650 .783 .675 .409 .180 .065 .095 .217 .451 .755 .934 .813 .487 .205 .068 .099 .222 .468 .798 1.000 .877 .525 .216 .067 .101 .217 .451 .764 .957 .842 .509 .210 .062 .101 .208 .414 .683 .841 .740 .457 .194 .057 .103 .203 .381 .600 .718 .629 .400 .180 .056 .108 .205 .364 .544 .629 .547 .357 .173 .061 1546 .063 5846 .063 16.40004 .001749 .008110 -.000171 Correlation Surface at 1646 5846 .234 .310 .519 .691 .685 .730 .618 .378 .206 .250 .304 .518 .784 .750 .758 .643 .403 .229 .273 .331 .517 .844 .843 .896 .757 .449 .242 .265 .336 .527 .900 .933 .991 .828 .461 .225 .287 .333 .556 .986 1.000 .944 .772 .462 .199 .368 .364 .564 .965 .982 .838 .691 .460 .186 .436 .402 .509 .812 .892 .754 .635 .439 .188 .431 .392 .434 .704 .846 .726 .577 .397 .197 .422 .372 .412 .668 .828 .745 .556 .380 .212 r_peak,r_snr = .4194185 2.73739 Correlation Surface of oversamples image at 1646 5846 .378 .440 .517 .602 .637 .583 .506 .483 .497 .379 .460 .561 .681 .750 .700 .593 .528 .504 .376 .476 .605 .763 .874 .833 .692 .571 .492 .381 .489 .637 .824 .969 .943 .778 .606 .477 .401 .499 .648 .842 1.000 .989 .820 .625 .467 .436 .512 .640 .814 .960 .957 .804 .618 .463 .482 .529 .624 .762 .880 .877 .747 .590 .461 .522 .547 .610 .717 .807 .797 .685 .559 .462 .542 .554 .599 .687 .761 .744 .642 .537 .464 1646 .219 5846 .500 2.73739 1.266593 .988545 1.057783 Correlation Surface at 1746 5846 .230 .149 .001 .308 .483 .114 .007 .028 .013 .215 .118 .013 .536 .864 .086 .013 .011 .001 .045 .092 .015 .593 1.000 .036 .145 .037 .024 .002 .031 .063 .541 .596 .002 .260 .117 .043 .000 .007 .189 .407 .170 .026 .202 .110 .037 .057 .001 .355 .255 .012 .098 .033 .014 .010 .234 .001 .418 .137 .005 .092 .006 .008 .001 r_peak,r_snr = 8.39171E-02 11.06423 Correlation Surface of oversamples image at 1746 5846 .154 .001 .143 .523 .746 .589 .271 .057 .000 .117 .001 .205 .631 .857 .655 .285 .052 .001 .096 .004 .238 .690 .911 .674 .270 .036 .007 .071 .006 .261 .739 .961 .696 .256 .021 .022 .036 .014 .292 .786 1.000 .713 .241 .009 .044 .007 .038 .342 .819 .989 .681 .206 .001 .068 .002 .090 .416 .830 .906 .574 .147 .001 .091 .027 .168 .488 .794 .755 .418 .080 .007 .100 .073 .247 .500 .664 .543 .248 .027 .019 .093 1746 -2.563 5846 -12.781 11.06424 .019571 .186157 .014191 Correlation Surface at 1846 5846 .001 .049 .116 .163 .177 .137 .071 .026 .009 .002 .064 .117 .150 .151 .127 .103 .041 .003 .005 .078 .162 .218 .283 .238 .148 .068 .006 .008 .082 .180 .355 .674 .470 .199 .097 .017 .005 .056 .119 .391 1.000 .666 .255 .132 .030 .001 .024 .070 .301 .846 .631 .302 .177 .039 .000 .015 .083 .266 .559 .476 .322 .233 .053 .003 .022 .109 .284 .435 .373 .313 .280 .074 .008 .028 .092 .268 .394 .324 .249 .231 .079 r_peak,r_snr = .3039055 14.21236 Correlation Surface of oversamples image at 1846 5846 .155 .196 .260 .338 .393 .403 .369 .311 .255 .159 .216 .319 .464 .574 .582 .496 .381 .292 .146 .217 .371 .604 .783 .775 .618 .441 .324 .118 .193 .389 .705 .947 .920 .700 .482 .347 .085 .157 .366 .723 1.000 .966 .725 .500 .367 .062 .127 .320 .658 .928 .907 .696 .503 .387 .054 .114 .276 .550 .778 .782 .632 .493 .405 .060 .122 .251 .450 .622 .648 .561 .474 .416 .080 .146 .250 .388 .510 .544 .501 .449 .415 1846 .188 5846 -.031 14.21237 .004161 .014138 -.001298 Correlation Surface at 1946 5846 .002 .013 .032 .088 .233 .268 .149 .127 .200 .002 .015 .040 .092 .213 .202 .122 .110 .156 .006 .027 .064 .160 .297 .178 .098 .123 .160 .011 .033 .085 .311 .699 .356 .117 .134 .164 .011 .021 .071 .354 1.000 .587 .165 .120 .125 .002 .005 .039 .233 .661 .428 .144 .097 .102 .000 .000 .023 .159 .322 .178 .075 .085 .115 .001 .003 .023 .179 .292 .144 .067 .107 .148 .012 .000 .030 .186 .352 .234 .123 .145 .156 r_peak,r_snr = .2979248 10.3611 Correlation Surface of oversamples image at 1946 5846 .049 .080 .154 .257 .309 .264 .169 .101 .077 .060 .101 .211 .376 .463 .376 .214 .108 .073 .069 .122 .277 .536 .698 .573 .314 .143 .083 .073 .136 .325 .669 .926 .791 .440 .197 .105 .072 .138 .328 .690 1.000 .899 .520 .240 .126 .069 .130 .289 .588 .865 .811 .491 .239 .131 .064 .116 .231 .429 .612 .582 .364 .185 .110 .055 .102 .182 .295 .381 .349 .218 .113 .075 .048 .096 .162 .225 .248 .204 .121 .062 .047 1946 .125 5846 -.063 10.36111 .003503 .008870 -.000614 Correlation Surface at 2046 5846 .025 .031 .016 .017 .117 .065 .014 .000 .006 .059 .025 .004 .040 .192 .107 .011 .001 .008 .072 .024 .004 .053 .346 .193 .020 .000 .001 .056 .028 .013 .075 .725 .422 .036 .003 .001 .041 .038 .027 .087 1.000 .646 .051 .002 .000 .034 .039 .027 .050 .674 .524 .055 .000 .000 .032 .024 .019 .013 .270 .281 .048 .000 .000 .021 .009 .014 .002 .149 .217 .064 .000 .000 .008 .004 .012 .001 .137 .266 .118 .001 .000 r_peak,r_snr = .3133634 32.67834 Correlation Surface of oversamples image at 2046 5846 .018 .006 .110 .240 .220 .098 .022 .002 .000 .029 .007 .167 .394 .378 .176 .041 .004 .000 .040 .009 .252 .619 .616 .299 .075 .009 .000 .049 .013 .334 .843 .866 .440 .117 .016 .001 .052 .013 .364 .944 1.000 .532 .150 .022 .001 .048 .009 .317 .855 .942 .528 .159 .025 .001 .043 .004 .213 .620 .725 .434 .140 .022 .000 .041 .000 .109 .365 .465 .301 .104 .015 .000 .044 .002 .042 .187 .267 .188 .070 .009 .002 2046 .281 5846 .063 32.67835 .001922 .008798 -.000377 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .3210041 19.0111 146 .063 3046 -.031 19.01110 .002337 .010654 -.000801 r_peak,r_snr = .1536932 20.82131 246 .031 3046 -.406 20.82131 .012304 .033258 -.007062 r_peak,r_snr = .242352 32.95318 346 .094 3046 .125 32.95318 .003390 .015866 -.000897 r_peak,r_snr = .2320422 11.06995 446 -.063 3046 .219 11.06995 .009887 .021829 -.004352 r_peak,r_snr = .4256393 3.37456 546 .156 3046 -.031 3.37456 .005000 .022885 -.003124 r_peak,r_snr = .539677 1.64202 646 -.125 3046 -.313 1.64202 .007571 .021474 -.003175 r_peak,r_snr = .5717165 9.69354 746 .031 3046 -1.781 9.69354 .001216 .036861 .000618 r_peak,r_snr = .1296792 16.28267 846 .250 3046 .031 16.28268 .014087 .038802 .006163 r_peak,r_snr = .1555853 19.6551 946 -.313 3046 -.063 19.65511 .005560 .037792 -.001410 r_peak,r_snr = .1677746 13.39134 1046 .063 3046 .031 13.39134 .008437 .088405 -.012639 r_peak,r_snr = .1364542 16.30069 1146 .094 3046 -.188 16.30070 .012065 .037338 -.002976 r_peak,r_snr = .1654186 27.43452 1246 -.094 3046 .063 27.43453 .009531 .027284 -.002771 r_peak,r_snr = .4678096 7.23736 1346 .063 3046 -.219 7.23736 .002368 .037440 -.000885 r_peak,r_snr = .3747336 25.65082 1446 .063 3046 -.281 25.65082 .001463 .012614 -.000008 r_peak,r_snr = .149942 13.3093 1546 .031 3046 .406 13.30930 .008568 .067948 -.003562 r_peak,r_snr = .15552 15.72939 1646 .000 3046 -.344 15.72940 .019583 .042683 .006999 r_peak,r_snr = .3923472 15.33891 1746 -.063 3046 -.063 15.33892 .001596 .006171 -.000240 r_peak,r_snr = .4450297 3.42417 1846 -.188 3046 -1.438 3.42417 .006887 .141589 -.009462 r_peak,r_snr = .2165174 14.34172 1946 -.031 3046 -.344 14.34173 .004647 .055866 .001377 r_peak,r_snr = .2426108 18.88789 2046 -.094 3046 .063 18.88790 .002977 .034071 .000186 At line = 3400 Reading in data.... r_peak,r_snr = .3860405 15.47363 146 .031 3446 .250 15.47364 .001499 .022080 -.001280 r_peak,r_snr = 7.46884E-02 8.95357 246 11.656 3446 7.656 8.95357 .055810 .208744 .034532 r_peak,r_snr = .1564677 16.59362 346 .000 3446 .188 16.59362 .006404 .085936 .000935 r_peak,r_snr = .1632529 8.16161 446 -.063 3446 -1.219 8.16161 .018052 .679877 -.060748 r_peak,r_snr = .1469369 4.24122 546 .188 3446 .219 4.24122 .008325 .234428 .010085 r_peak,r_snr = .2578816 39.08087 646 -.063 3446 -.125 39.08087 .003028 .008882 -.000734 r_peak,r_snr = .6632111 6.24868 746 .094 3446 -1.031 6.24868 .000994 .016520 -.000809 r_peak,r_snr = 9.81397E-02 10.89065 846 2.375 3446 -12.781 10.89065 .072862 .243106 .049291 r_peak,r_snr = .2453443 22.01195 946 -.250 3446 -.500 22.01196 .003305 .016785 -.000230 r_peak,r_snr = .1886724 28.7654 1046 -.125 3446 .031 28.76541 .005018 .024719 -.000697 r_peak,r_snr = .2978112 20.9481 1146 .063 3446 -.281 20.94810 .003085 .016289 .000551 r_peak,r_snr = .3151798 16.45859 1246 .094 3446 -.594 16.45859 .002999 .023562 .000267 r_peak,r_snr = .1837953 16.39279 1346 -.031 3446 -.250 16.39279 .008528 .042390 -.002804 r_peak,r_snr = .2285971 16.92057 1446 .000 3446 -.250 16.92058 .005755 .042168 .001285 r_peak,r_snr = .1234587 14.28887 1546 .188 3446 -2.781 14.28887 .015692 .937525 -.068060 r_peak,r_snr = .1712045 26.51572 1646 .094 3446 -.031 26.51572 .007162 .024800 -.004907 r_peak,r_snr = .1118988 6.42319 1746 -.063 3446 4.406 6.42319 .018447 .412600 .017125 r_peak,r_snr = .443289 11.70723 1846 .094 3446 -.156 11.70724 .001929 .015645 .000140 r_peak,r_snr = .147596 11.49944 1946 .250 3446 -7.406 11.49945 .020986 .203633 .019238 r_peak,r_snr = .1678865 13.34179 2046 -.031 3446 .688 13.34180 .011108 .030239 .000953 At line = 3800 Reading in data.... r_peak,r_snr = .2187729 11.28385 146 -.094 3846 -5.031 11.28386 .010494 .117830 -.004416 r_peak,r_snr = .1358883 14.26614 246 -.188 3846 -.344 14.26614 .011190 .047013 -.001186 r_peak,r_snr = .1697159 25.32553 346 .063 3846 .375 25.32553 .006103 .025355 -.002976 r_peak,r_snr = .4141384 2.4546 546 .125 3846 -.281 2.45460 .009453 .042912 -.002081 r_peak,r_snr = .4538851 2.45716 646 .219 3846 -.031 2.45716 .005816 .047732 -.000758 r_peak,r_snr = .4853018 5.71625 746 -.031 3846 .031 5.71625 .001437 .012002 -.000340 r_peak,r_snr = .1599497 17.62007 846 .469 3846 .938 17.62008 .014437 .191595 -.021908 r_peak,r_snr = .2108512 15.54844 946 -.063 3846 .344 15.54845 .004179 .028863 -.000029 r_peak,r_snr = .1863219 19.77158 1046 .094 3846 .438 19.77158 .005359 .032216 -.000818 r_peak,r_snr = .2414664 18.06358 1146 .094 3846 -.063 18.06358 .006018 .019485 .001729 r_peak,r_snr = .1414575 18.34814 1246 -.156 3846 -.250 18.34814 .006594 .025238 -.001408 r_peak,r_snr = .3454267 13.99574 1346 .031 3846 .188 13.99574 .002310 .019899 -.000768 r_peak,r_snr = .1088724 15.78375 1446 .031 3846 -.250 15.78375 .010431 .065131 -.006475 r_peak,r_snr = .1676416 10.48579 1546 .188 3846 .000 10.48579 .013291 .105660 .012788 r_peak,r_snr = .1477009 24.06707 1646 .156 3846 .063 24.06707 .006457 .038575 -.001882 r_peak,r_snr = 8.17943E-02 6.91885 1746 .344 3846 3.219 6.91885 .075427 .141630 -.034073 r_peak,r_snr = .2646796 7.68684 1846 .063 3846 .656 7.68684 .006869 .040927 -.005117 r_peak,r_snr = .1747592 18.82565 1946 -.094 3846 .063 18.82566 .005931 .033359 .001541 r_peak,r_snr = .4392173 15.18552 2046 .031 3846 .000 15.18552 .001251 .008141 -.000339 At line = 4200 Reading in data.... r_peak,r_snr = .1662928 12.81384 146 -.406 4246 3.844 12.81384 .006032 .038013 -.003740 r_peak,r_snr = .203385 12.0142 246 .313 4246 -.344 12.01421 .006296 .037952 -.000503 r_peak,r_snr = .1328843 19.67635 346 .188 4246 -.469 19.67635 .010659 .067419 -.007219 r_peak,r_snr = .2299199 31.16335 446 .125 4246 .000 31.16335 .003786 .028360 .000359 r_peak,r_snr = .2998353 4.83285 546 -.188 4246 -.344 4.83285 .011631 .028634 -.002038 r_peak,r_snr = .4873113 2.10984 646 -.281 4246 -.031 2.10984 .012816 .021641 -.003228 r_peak,r_snr = .3118987 67.1774 746 .094 4246 .031 67.17741 .001835 .004442 -.000309 r_peak,r_snr = .2757693 9.27704 846 -.094 4246 -.594 9.27704 .005262 .045889 -.000521 r_peak,r_snr = .1731849 15.94777 946 -.031 4246 -.219 15.94777 .004406 .018756 .001181 r_peak,r_snr = .2404654 23.80705 1046 -.031 4246 .000 23.80705 .003614 .013110 -.000960 r_peak,r_snr = .2162984 28.70888 1146 .125 4246 -.438 28.70889 .004353 .024632 -.002907 r_peak,r_snr = .1811579 35.52201 1246 .219 4246 -.313 35.52202 .004499 .027832 .000387 r_peak,r_snr = .3538125 16.09128 1346 -.031 4246 -.594 16.09128 .002841 .036001 -.001979 r_peak,r_snr = .2178752 16.86508 1446 -.063 4246 .156 16.86509 .004726 .021350 .001855 r_peak,r_snr = .2777542 7.10117 1546 .000 4246 -.375 7.10117 .005308 .047359 -.003754 r_peak,r_snr = 8.26077E-02 7.74706 1646 10.906 4246 -4.031 7.74706 .038491 .156407 -.044801 r_peak,r_snr = .1408715 13.73154 1746 -.063 4246 .000 13.73154 .011378 .028019 -.003080 r_peak,r_snr = .3884534 31.67252 1846 -.031 4246 .563 31.67252 .001431 .010392 -.000328 r_peak,r_snr = .3498302 20.30817 1946 -.031 4246 -.250 20.30817 .002402 .034563 -.001134 r_peak,r_snr = .3367454 30.5874 2046 -.094 4246 .219 30.58740 .002176 .013399 -.000508 At line = 4600 Reading in data.... r_peak,r_snr = .4293024 6.76789 146 .063 4646 -.094 6.76789 .003174 .012929 -.000295 r_peak,r_snr = .221709 11.01985 246 .063 4646 -.469 11.01986 .009585 .064864 -.012120 r_peak,r_snr = .1929284 16.5096 346 -.219 4646 .188 16.50960 .004838 .042127 .000981 r_peak,r_snr = .2619716 32.85578 446 .000 4646 .094 32.85579 .002992 .014349 .000189 r_peak,r_snr = .2601755 6.23661 546 -.063 4646 -.125 6.23661 .007419 .110910 .006626 r_peak,r_snr = .4071092 3.32948 646 .188 4646 .094 3.32948 .004260 .018472 .001611 r_peak,r_snr = .3791781 30.70068 746 .156 4646 -.031 30.70069 .001629 .005164 -.000399 r_peak,r_snr = .1199256 11.23838 846 .094 4646 -.125 11.23838 .010105 .058538 -.004588 r_peak,r_snr = .1825201 14.56538 946 .219 4646 .438 14.56538 .007567 .162628 -.009500 r_peak,r_snr = .1558169 20.19188 1046 .063 4646 .188 20.19189 .007441 .023721 -.001639 r_peak,r_snr = .1873115 5.31266 1146 .094 4646 -.063 5.31266 .008343 .057212 -.000001 r_peak,r_snr = .1702551 20.56171 1246 -.031 4646 -.281 20.56171 .005685 .021846 -.000360 r_peak,r_snr = .2626549 7.07707 1346 -.156 4646 -.344 7.07707 .003794 .053491 .000185 r_peak,r_snr = .3097333 21.97574 1446 .094 4646 -.094 21.97574 .002505 .015021 -.001771 r_peak,r_snr = 6.89837E-02 6.73263 1546 .281 4646 -.094 6.73263 .438686 .121915 -.035344 r_peak,r_snr = .1514423 23.64124 1646 .125 4646 -.031 23.64124 .007381 .015339 -.000470 r_peak,r_snr = 9.45849E-02 13.61481 1746 -.031 4646 -.438 13.61482 .013395 .063383 .007812 r_peak,r_snr = .3076615 27.97223 1846 -.063 4646 .281 27.97223 .002354 .014316 -.000910 r_peak,r_snr = .3016943 22.61194 1946 .000 4646 -.469 22.61194 .002139 .013727 .000603 r_peak,r_snr = .3014492 30.80389 2046 -.063 4646 .063 30.80389 .002311 .016524 -.000833 At line = 5000 Reading in data.... r_peak,r_snr = .3257833 5.49516 146 .313 5046 .188 5.49516 .004556 .017374 -.000513 r_peak,r_snr = .128508 17.35506 246 -.031 5046 .063 17.35507 .006373 .092954 .003977 r_peak,r_snr = .3646101 2.15404 346 -.188 5046 -.250 2.15404 .011374 .154967 -.009771 r_peak,r_snr = .1761743 29.93546 446 .156 5046 .000 29.93546 .004704 .034132 -.001222 r_peak,r_snr = .1941619 11.92211 546 -.031 5046 .438 11.92211 .008875 .146218 .014708 r_peak,r_snr = .4454999 5.18386 646 -.031 5046 -.250 5.18386 .002913 .021859 -.001288 r_peak,r_snr = .3005478 58.7366 746 .063 5046 -.031 58.73660 .001593 .006374 -.000222 r_peak,r_snr = .1313768 24.33252 846 .094 5046 -.094 24.33252 .008828 .033683 .000520 r_peak,r_snr = .1652399 21.2014 946 .156 5046 -.406 21.20140 .007111 .065747 -.001130 r_peak,r_snr = .2833122 29.31939 1046 .156 5046 -.094 29.31940 .002812 .017612 -.000505 r_peak,r_snr = .2721926 7.7134 1146 .063 5046 -.219 7.71340 .004686 .017753 .001584 r_peak,r_snr = .2920209 23.67069 1246 .094 5046 -.094 23.67070 .002302 .015636 -.000005 r_peak,r_snr = .3671507 12.29669 1346 -.031 5046 .188 12.29669 .002221 .036584 -.000036 r_peak,r_snr = .3112693 26.20224 1446 .031 5046 .094 26.20225 .002001 .014200 -.000164 r_peak,r_snr = .1558987 16.6903 1546 .156 5046 -.156 16.69030 .005554 .032432 -.000239 r_peak,r_snr = .2480005 26.56609 1646 .094 5046 -.156 26.56610 .003912 .019934 -.000947 r_peak,r_snr = .1474898 7.94059 1746 -.250 5046 .031 7.94059 .009954 .082467 -.005708 r_peak,r_snr = .4025377 29.33241 1846 .063 5046 .031 29.33241 .001116 .007316 .000018 r_peak,r_snr = .3445785 16.72956 1946 -.063 5046 -.406 16.72957 .002036 .010842 -.000243 r_peak,r_snr = .1751546 7.67476 2046 -.125 5046 13.469 7.67476 .037055 .145407 .009388 At line = 5400 Reading in data.... r_peak,r_snr = .4798061 15.77483 146 .125 5446 -.125 15.77484 .001260 .015092 -.000487 r_peak,r_snr = .1302963 12.63135 246 .156 5446 .125 12.63136 .018196 .064195 -.005319 r_peak,r_snr = .1879436 31.86754 346 .063 5446 -.063 31.86754 .005757 .057721 -.004784 r_peak,r_snr = .2878318 4.09447 446 -.156 5446 -.281 4.09447 .008065 .028125 -.005915 r_peak,r_snr = .3677536 5.22499 546 .000 5446 -.250 5.22499 .005194 .037694 .000595 r_peak,r_snr = .4461952 2.09283 646 -.250 5446 -.156 2.09283 .013115 .021829 -.005255 r_peak,r_snr = .2966545 13.29335 746 .000 5446 -.281 13.29335 .004618 .013261 -.000594 r_peak,r_snr = .3706189 4.00852 846 .125 5446 -.750 4.00852 .005657 .056584 -.006288 r_peak,r_snr = 9.12921E-02 11.52935 946 .188 5446 -.156 11.52936 .016388 .129398 .013045 r_peak,r_snr = .1888773 22.70469 1046 .094 5446 .250 22.70469 .004321 .029866 .000627 r_peak,r_snr = .4110272 6.95267 1146 .063 5446 .156 6.95267 .003011 .011876 -.000708 r_peak,r_snr = .266889 17.28829 1246 .250 5446 .063 17.28830 .003674 .025647 -.002209 r_peak,r_snr = .2834438 7.38356 1346 .094 5446 .000 7.38356 .006859 .057974 .004352 r_peak,r_snr = 9.86358E-02 11.10895 1446 .219 5446 .906 11.10896 .010648 .239369 .006695 r_peak,r_snr = .1969553 11.03646 1546 .188 5446 .500 11.03646 .016287 .224642 .038568 r_peak,r_snr = .4320763 13.05948 1646 .188 5446 -.125 13.05949 .001359 .019640 -.000058 r_peak,r_snr = .1442621 20.04914 1746 -.063 5446 .063 20.04914 .006226 .038273 .001891 r_peak,r_snr = .4733077 14.74761 1846 .125 5446 -.094 14.74762 .001576 .006951 -.000671 r_peak,r_snr = .174429 19.38234 1946 -.031 5446 -1.031 19.38234 .005344 .046000 -.001322 r_peak,r_snr = .2851506 23.44112 2046 .000 5446 .031 23.44113 .003252 .012338 .000771 At line = 5800 Reading in data.... r_peak,r_snr = .3721566 15.43836 146 -.063 5846 -.219 15.43836 .002126 .009359 -.000938 r_peak,r_snr = .2909791 20.19013 246 .188 5846 .219 20.19013 .003640 .020432 -.001200 r_peak,r_snr = .1173235 12.88589 346 .031 5846 -3.656 12.88590 .013517 1.445582 -.065121 r_peak,r_snr = .1345218 9.20844 446 .031 5846 -.719 9.20844 .018661 .303022 -.031257 r_peak,r_snr = .3185528 7.10585 546 .000 5846 .250 7.10585 .006573 .028726 -.002668 r_peak,r_snr = .2533532 45.1823 646 .125 5846 .125 45.18230 .003685 .007710 -.000248 r_peak,r_snr = .2290902 19.93524 746 .031 5846 -.031 19.93525 .005020 .017788 -.002843 r_peak,r_snr = .3672322 5.04563 846 .156 5846 -.656 5.04563 .005253 .028064 -.002901 r_peak,r_snr = .116007 11.99229 946 .188 5846 -.375 11.99229 .008821 .175871 -.003894 r_peak,r_snr = .1814398 21.99115 1046 .219 5846 -.344 21.99116 .007014 .034086 -.003318 r_peak,r_snr = .1055427 15.55875 1146 .063 5846 -.094 15.55875 .016439 .037487 -.000788 r_peak,r_snr = .4786724 15.86232 1246 .063 5846 -.281 15.86233 .001049 .021865 -.000264 r_peak,r_snr = .5059267 7.34358 1346 -.094 5846 .313 7.34358 .001537 .009223 -.000356 r_peak,r_snr = .298139 22.58965 1446 -.094 5846 -.094 22.58966 .002532 .011995 -.000162 r_peak,r_snr = .4390231 17.84749 1546 -.031 5846 -.344 17.84749 .001414 .017961 -.000134 r_peak,r_snr = .2724619 4.23865 1646 -.094 5846 -.250 4.23865 .008312 .048259 -.003312 r_peak,r_snr = .1064461 15.1455 1746 -.188 5846 -.250 15.14550 .013635 .072701 -.003094 r_peak,r_snr = .2649408 11.71262 1846 .031 5846 .063 11.71263 .004730 .034034 .000824 r_peak,r_snr = .1817485 6.74142 1946 -.094 5846 -.063 6.74142 .008351 .059936 -.001987 r_peak,r_snr = .261022 19.0023 2046 .094 5846 .781 19.00231 .003550 .030397 .002285 ************************************************* ***** 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 94049 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 94049 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 94049 FOUND CALIB SET 94049 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: -2.8 -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: -2.80 deg Receiver phase difference is -311.60 deg Transmitter phase difference is -314.40 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 Fri May 1 21:21:38 PDT 1998 Fri May 1 21:21:38 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 @ 08:56:47 IDR=167950 FC=3,532,676 drft 4.8; LRef is 0.9min S, 1.0min W of GPS; almost full moon, no RFI, another great run, yawn...ncreased L-band RX gain by 2dB over previous runs here l Kobrick, 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: 94049 94049 enter HDDT footage number <0> : enter the title of image: enter the CCT ID: cct: 5278 prod ID1:*5278*5278* +53 51.6 -104 39.3 here here here here here chrp_delay is 32.5 usec 94049 27.2 Parameter header created .. >> Record # : 64 >> GPS Stuff = 2.70 19 14 18 22 28 29 >> start range = 8304.2523 >> ccal_amp = -90.39999 >> ccal_atn = 32 >> ratn_phh = 0 8 10 >> ratn_phv = 0 2 10 >> ratn_pvh = 0 2 10 >> ratn_pvv = 0 8 10 >> ratn_lhh = 0 6 0 >> ratn_lhv = 0 0 0 >> ratn_lvh = 0 0 0 >> ratn_lvv = 0 6 0 >> ratn_chh = 0 8 10 >> ratn_chv = 0 2 10 >> ratn_cvh = 0 2 10 >> ratn_cvv = 0 8 10 >> rcvr_chh = { >> rcvr_chv = {9D€ >> rcvr_cvh =  >> rcvr_cvv = >> rcvr_cpz = 0.0 >> rcvr_cbw = 0 >> chrp_bnd = 20 >> chrp_len = 10 >> chrp_mod = DN >> Record # : 40960 >> GPS Stuff = 2.70 19 14 18 22 28 29 Done decoding data from header array... Data collected on ==> 25-JUL-1994 Starting and end GPS times for SAR data -171600584.9720 -171600536.2120 Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49218 7954.97520 7959.24240 1.3637707 0 ralt 7717.75888 7708.39200 7724.54640 4.3116640 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88776 53.97752 .0257839 0 long -104.56234 -104.58829 -104.53590 .0150660 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8219.08984 8229.92969 2.8010286 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished analysis of raw data... Putting in mirror values... Finished with mirror samples... Median filter data... Completed median filter of data... Finished correcting GPS times for pulses... Finished correcting GPS times for SIXGUN data... i_yearind 19946 GPS time for first pulse = -171600584.971222 -171600584.972 GPS trend coefficients = 5.07367558492683 -11.5826281971261 2.17374730057795 Begin final analysis of data... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors t_prf .00119 .00119 .00119 .0000005 0 va -.02065 -.12616 .10355 .0456241 0 ca -.00617 -.13330 .12259 .0375943 0 aa -.01370 -.07617 .03690 .0189358 0 hdg -18.24580 -18.36914 -18.16589 .0560207 0 trc -18.76299 -18.87451 -18.64380 .0766131 0 tgs 216.04583 215.87329 216.19482 .0867421 0 roll -1.19548 -1.46118 -.91187 .1569051 0 pitch .31323 .21973 .41199 .0500760 0 delx .25719 .25718 .25728 .0000099 0 lati 53.92103 53.87644 53.96570 .0258801 0 loni -104.57391 -104.59963 -104.54830 .0149082 0 latd 53.92658 53.88167 53.97167 .0258594 0 lond -104.56335 -104.59000 -104.53833 .0151440 0 balt 7957.49266 7954.97520 7959.24240 1.3637964 0 ralt 7717.76460 7709.61120 7724.54640 4.3016570 0 dpth .07984 .00000 .20000 .0969051 0 droll -1.18672 -1.50000 -.90000 .1675984 0 thd 342.01484 341.80000 342.20000 .0970582 0 dad -1.16047 -1.30000 -1.00000 .0962570 0 latg 53.93319 53.88959 53.97752 .0257790 0 long -104.56234 -104.58829 -104.53695 .0150632 0 nc .00000 .00000 .00000 .0000000 0 ec .00000 .00000 .00000 .0000000 0 hgt 8224.85225 8223.33427 8225.89154 .6660214 0 phh_aten 18.00000 18.00000 18.00000 .0000000 0 phv_aten 12.00000 12.00000 12.00000 .0000000 0 pvh_aten 12.00000 12.00000 12.00000 .0000000 0 pvv_aten 18.00000 18.00000 18.00000 .0000000 0 lhh_aten 6.00000 6.00000 6.00000 .0000000 0 lhv_aten .00000 .00000 .00000 .0000000 0 lvh_aten .00000 .00000 .00000 .0000000 0 lvv_aten 6.00000 6.00000 6.00000 .0000000 0 chh_aten 18.00000 18.00000 18.00000 .0000000 0 chv_aten 12.00000 12.00000 12.00000 .0000000 0 cvh_aten 12.00000 12.00000 12.00000 .0000000 0 cvv_aten 18.00000 18.00000 18.00000 .0000000 0 hwlat X .00000 .00000 .00000 .0000000 0 hwlon X .00000 .00000 .00000 .0000000 0 hwalt X .00000 .00000 .00000 .0000000 0 hwev X .00000 .00000 .00000 .0000000 0 hwnv X .00000 .00000 .00000 .0000000 0 hwuv X .00000 .00000 .00000 .0000000 0 hwroll X .00000 .00000 .00000 .0000000 0 hwpitch X .00000 .00000 .00000 .0000000 0 hwhdg X .00000 .00000 .00000 .0000000 0 hwtrc X .00000 .00000 .00000 .0000000 0 hwtgs X .00000 .00000 .00000 .0000000 0 Finished final analysis of data... Fixing vertical,cross and along track accelerations... Analysis Results Parameter Average Minimum Maximum Std. Dev Errors va -.00013 -.10648 .12367 .0461546 0 ca -.00484 -.13356 .12283 .0373880 0 aa -.01379 -.07632 .03697 .0188172 0 Average Barometric Altitude = 7957.492657499952 Average Radar Altitude = 7717.764599999992 Average GPS Altitude = 8224.852246093767 >>Record # : 64 >>GPS Stuff = 2.70 19 14 18 22 2 >>Record # : 40960 >>GPS Stuff = 2.70 19 14 18 22 2 Lock vertical accel to gps(+1) or bar(-1) or IGI (0) ==> Time comparison statistics between GPS and radar clocks Average difference = 2.756694074150800E-04 Standard deviation of difference = 2.890081939012123E-04 Making final angle clean up... Enter a name for the peg data file. Positions and Distances Start position = 53.9115677 -104.5496826 8225.012 End position = 53.9555244 -104.5754013 8225.644 Loxodromic Heading (deg) = -19.0477980 Loxodromic Distance (km) = 5175.9532676 Geodesic Heading (deg) = -19.0374061 Geodesic Distance (km) = 5175.9532112 Peg latitude and longitude = 53.9335556 -104.5625076 Peg heading = -19.0927626 Rotation matrix First row = -.148026210 -.124526042 -.981112382 Second row = -.569809682 .821572766 -.018306197 Third row = .808334812 .556337537 -.192570447 Translation vector Vector = -1969.62524 -7581.84332 -23834.10822 Local Radius of Curvature = 6378826.447825055 Start and end pulse used = 29 40861 Ellipsoidal delta s (m) = .2535116399012322 Delta s on reference surface = .253511641946813 Making fits... Vertical fit coefficients = 8225.008976601637 -5.270652204114867E-02 -2.335247347025059E-03 Cross track fit coefficients = 13.41577944154065 -.734321729834544 3.676978506576236E-03 Along track fit coefficients = -5292.68024033466 214.889052831059 2.119148188246455E-02 Miscellaneous Information Start range = 8304.25225 Start ground range = 3065.406173840099 Time orgin = -171600584.971222 Pulse spacing = .2571935106065052 First frame = 4234193 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/cm5278_p.par Enter the raw data file name. /data1/airops/p_hh Enter the motion compensation file name. /data3/airops/cm5278_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): (-278.015,.0) (405.1074,.0) (-309.788,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 101215.2 Pulse#/64: 65 1073 97862.59 Pulse#/64: 129 1073 94940.51 Pulse#/64: 193 1073 73029.57 Pulse#/64: 257 1073 219668.0 Estimate Caltone : 1150 -----CalTone Estimate Position --- CalTone Bin at : 1150 1073 CalTone Bin offset : -77 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 50.72281Power RMS: 3.54942 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 370.026Amp. RMS: 135.7666 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : -96.0435Phase RMS: 196.2506 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 86.93507 CalTone Power Coherently dB : 50.72281 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 86.93507 Incoherent PW - Coherent PW : 36.21226 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22104.18 CalTone Amplitude Coherently : 370.026 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 21734.15 ------------ *** ------------ running time (sec): 70.41 ********** 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/cm5278_p.par Enter the raw data file name. /data1/airops/p_hv Enter the motion compensation file name. /data3/airops/cm5278_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): (-23.8864,.0) (127.3943,.0) (-83.6025,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 241617.5 Pulse#/64: 65 1073 211101.2 Pulse#/64: 129 1073 124853.1 Pulse#/64: 193 1073 286614.6 Pulse#/64: 257 1073 152187.1 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 52.99909Power RMS: 1.79613 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 455.1211Amp. RMS: 85.34021 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 37.43854Phase RMS: 232.9082 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.1756 CalTone Power Coherently dB : 52.99909 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.1756 Incoherent PW - Coherent PW : 36.1765 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28749.05 CalTone Amplitude Coherently : 455.1211 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28293.92 ------------ *** ------------ running time (sec): 66.76 ********** 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/cm5278_p.par Enter the raw data file name. /data1/airops/p_vh Enter the motion compensation file name. /data3/airops/cm5278_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): (15.92428,.0) (91.56465,.0) (-127.394,.0) attenuation (dB): 12.0 Pulse#/64: 1 1073 123806.8 Pulse#/64: 65 1073 110171.9 Pulse#/64: 129 1073 178356.0 Pulse#/64: 193 1073 108901.1 Pulse#/64: 257 1073 109607.8 Estimate Caltone : 2048 -----CalTone Estimate Position --- CalTone Bin at : 2048 1073 CalTone Bin offset : -975 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 51.01806Power RMS: 1.30971 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 359.8591Amp. RMS: 60.60437 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 40.5427Phase RMS: 244.7231 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 87.10266 CalTone Power Coherently dB : 51.01806 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 87.10266 Incoherent PW - Coherent PW : 36.08459 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 22695.11 CalTone Amplitude Coherently : 359.8591 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 22335.25 ------------ *** ------------ running time (sec): 66.90 ********** 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/cm5278_p.par Enter the raw data file name. /data1/airops/p_vv Enter the motion compensation file name. /data3/airops/cm5278_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): (-103.263,.0) (15.88656,.0) (39.71641,.0) attenuation (dB): 18.0 Pulse#/64: 1 1073 339091.6 Pulse#/64: 65 1073 242596.5 Pulse#/64: 129 1073 152812.9 Pulse#/64: 193 1073 429872.5 Pulse#/64: 257 1073 63990.04 Estimate Caltone : 2047 -----CalTone Estimate Position --- CalTone Bin at : 2047 1073 CalTone Bin offset : -974 -------- CalTone Intensity-------- Coherent Power MEAN (dB) : 53.4105Power RMS: 2.95354 -------- CalTone Amplitude -------- Coherent Amplitude MEAN : 496.2034Amp. RMS: 194.3538 ---------CalTone Phase Angle--------- Coherent Phase MEAN (Deg) : 88.89442Phase RMS: 233.5824 max_bin with Incoherent averaging: 1073 ----CalTone Power Comparison of Non/Coherent--- CalTone Power Incoherently dB: 89.2164 CalTone Power Coherently dB : 53.4105 WARNING!!! CalTone freq is drifting!!! ***Using Incoherent: 89.2164 Incoherent PW - Coherent PW : 35.80589 ------------ *** ------------ ----CalTone Amplitude Comparison of Non/Coherent--- CalTone Amplitude Incoherently : 28881.99 CalTone Amplitude Coherently : 496.2034 WARNING!!! CalTone freq is drifting!!! Incoherent Amp.- Coherent Amp. : 28385.79 ------------ *** ------------ running time (sec): 65.95 ********** 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: 8.5638 -3.04859E-04 z fit: constant and linear terms: -.156508 -1.86055E-08 y and z standard deviations (meters) 2.0051 .6939479 Enter the name of the global line file. Enter the name of the motion compensation file. Enter the number of lines in the mocomp file & first one. Enter the patch size and the max reference fnc length. Enter the maximum Doppler error. Enter the doppler file name. Enter the wavelength and nominal azimuth pixel spacing Initial guess at number of patches = 4 Step size = 3492 PATCH NUMER 1 First line = 1 Averages = 1.36510E-02 1.32331E-02 1.23258E-02 1.23344E-02 Differences = 7.64956E-04 3.47033E-04 -5.60267E-04 -5.51731E-04 PATCH NUMER 2 First line = 3493 Averages = 1.24720E-02 1.22500E-02 1.27717E-02 1.32803E-02 Differences = -2.21518E-04 -4.43452E-04 7.82358E-05 5.86774E-04 PATCH NUMER 3 First line = 6985 Averages = 1.25727E-02 1.31670E-02 1.36014E-02 1.40613E-02 Differences = -7.77909E-04 -1.83573E-04 2.50812E-04 7.10670E-04 PATCH NUMER 4 First line = 10477 Averages = 1.34174E-02 1.39119E-02 1.42607E-02 1.32252E-02 Differences = -2.86382E-04 2.08076E-04 5.56916E-04 -4.78572E-04 PATCH NUMER 5 First line = 13969 Averages = 1.42972E-02 1.36169E-02 1.21183E-02 1.16983E-02 Differences = 1.36451E-03 6.84207E-04 -8.14364E-04 -1.23436E-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.pp Please enter the name of the parameter file /data3/airops/cm5278_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) = 507.2 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/cm5278_p.mocomph Output file name? /data3/airops/cm5278_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 = 2.390 Processing 5 blocks Processing block number 1 reference line: 4096 2.390 seconds. Range compression done, time = 121.304 Motion comp. coeff. calculated, time = 121.368 Motion comp. added to patch, time = 212.638 Doppler estimation done, time = 212.638 Azimuth compression starting, time : 212.778 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 591.728 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 612.501 seconds. Range compression done, time = 718.906 Motion comp. coeff. calculated, time = 719.181 Motion comp. added to patch, time = 796.456 Doppler estimation done, time = 796.457 Azimuth compression starting, time : 796.572 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1174.925 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1198.166 seconds. Range compression done, time = 1305.140 Motion comp. coeff. calculated, time = 1305.219 Motion comp. added to patch, time = 1382.229 Doppler estimation done, time = 1382.229 Azimuth compression starting, time : 1382.364 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1761.259 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1786.505 seconds. Range compression done, time = 1894.575 Motion comp. coeff. calculated, time = 1894.796 Motion comp. added to patch, time = 1971.166 Doppler estimation done, time = 1971.166 Azimuth compression starting, time : 1971.328 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2350.009 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2369.588 seconds. Range compression done, time = 2475.957 Motion comp. coeff. calculated, time = 2476.178 Motion comp. added to patch, time = 2552.584 Doppler estimation done, time = 2552.584 Azimuth compression starting, time : 2552.704 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2931.707 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_p.hh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_p.mocomph Output file name? /data3/airops/cm5278_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 = 2.376 Processing 5 blocks Processing block number 1 reference line: 4096 2.376 seconds. Range compression done, time = 113.041 Motion comp. coeff. calculated, time = 113.081 Motion comp. added to patch, time = 236.959 Doppler estimation done, time = 236.960 Azimuth compression starting, time : 237.081 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 615.431 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 633.527 seconds. Range compression done, time = 739.620 Motion comp. coeff. calculated, time = 739.673 Motion comp. added to patch, time = 861.286 Doppler estimation done, time = 861.286 Azimuth compression starting, time : 861.416 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1240.739 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1263.487 seconds. Range compression done, time = 1369.366 Motion comp. coeff. calculated, time = 1369.925 Motion comp. added to patch, time = 1491.543 Doppler estimation done, time = 1491.543 Azimuth compression starting, time : 1491.662 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1870.251 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1893.976 seconds. Range compression done, time = 2000.196 Motion comp. coeff. calculated, time = 2000.365 Motion comp. added to patch, time = 2120.376 Doppler estimation done, time = 2120.376 Azimuth compression starting, time : 2120.524 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2499.593 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2518.974 seconds. Range compression done, time = 2624.580 Motion comp. coeff. calculated, time = 2624.808 Motion comp. added to patch, time = 2744.839 Doppler estimation done, time = 2744.839 Azimuth compression starting, time : 2744.970 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3123.413 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_p.hv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_p.mocompv Output file name? /data3/airops/cm5278_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 = 2.348 Processing 5 blocks Processing block number 1 reference line: 4096 2.348 seconds. Range compression done, time = 112.683 Motion comp. coeff. calculated, time = 112.724 Motion comp. added to patch, time = 192.989 Doppler estimation done, time = 192.989 Azimuth compression starting, time : 193.106 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 570.516 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 588.904 seconds. Range compression done, time = 694.514 Motion comp. coeff. calculated, time = 694.576 Motion comp. added to patch, time = 771.496 Doppler estimation done, time = 771.497 Azimuth compression starting, time : 771.612 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1150.057 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1173.306 seconds. Range compression done, time = 1279.078 Motion comp. coeff. calculated, time = 1279.324 Motion comp. added to patch, time = 1356.016 Doppler estimation done, time = 1356.016 Azimuth compression starting, time : 1356.143 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1734.585 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1761.200 seconds. Range compression done, time = 1866.750 Motion comp. coeff. calculated, time = 1866.972 Motion comp. added to patch, time = 1943.560 Doppler estimation done, time = 1943.560 Azimuth compression starting, time : 1943.697 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2322.608 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2342.094 seconds. Range compression done, time = 2447.268 Motion comp. coeff. calculated, time = 2447.514 Motion comp. added to patch, time = 2524.884 Doppler estimation done, time = 2524.884 Azimuth compression starting, time : 2525.003 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2902.776 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_p.vh Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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/cm5278_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) = 507.2 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/cm5278_p.mocompv Output file name? /data3/airops/cm5278_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 = 2.408 Processing 5 blocks Processing block number 1 reference line: 4096 2.408 seconds. Range compression done, time = 119.706 Motion comp. coeff. calculated, time = 119.754 Motion comp. added to patch, time = 205.483 Doppler estimation done, time = 205.483 Azimuth compression starting, time : 205.602 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 588.147 Writing 4192 lines of data to file Processing block number 2 reference line: 7588 606.247 seconds. Range compression done, time = 712.503 Motion comp. coeff. calculated, time = 712.543 Motion comp. added to patch, time = 789.280 Doppler estimation done, time = 789.280 Azimuth compression starting, time : 789.418 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1193.805 Writing 4192 lines of data to file Processing block number 3 reference line: 11080 1216.695 seconds. Range compression done, time = 1322.153 Motion comp. coeff. calculated, time = 1322.632 Motion comp. added to patch, time = 1399.166 Doppler estimation done, time = 1399.166 Azimuth compression starting, time : 1399.298 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 1809.411 Writing 4192 lines of data to file Processing block number 4 reference line: 14572 1834.656 seconds. Range compression done, time = 1940.499 Motion comp. coeff. calculated, time = 1940.696 Motion comp. added to patch, time = 2023.767 Doppler estimation done, time = 2023.767 Azimuth compression starting, time : 2023.896 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 2436.663 Writing 4192 lines of data to file Processing block number 5 reference line: 16383 2456.493 seconds. Range compression done, time = 2561.947 Motion comp. coeff. calculated, time = 2562.188 Motion comp. added to patch, time = 2639.198 Doppler estimation done, time = 2639.198 Azimuth compression starting, time : 2639.317 range migration lines: 1 4700 range migration lines: 4701 8192 Azimuth compression. Back projection Azimuth compression done, time = 3054.171 Writing 4192 lines of data to file Writing variable header... Updated paramater header in /data3/airops/cm5278_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/cm5278_p.vv Name of the doppler parameter file? /data3/airops/cm5278_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/cm5278_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 = 1052 1053 3149 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 3148 Processing block number 2 3149 4547 2 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 8048 9 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 8047 8048 10144 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 10143 Processing block number 4 10144 11540 0 1396 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 11539 11540 13636 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 13635 Processing block number 5 1348 1050 -13 -285 Actual deskew Zeroing lines in arrays Total # of output lines = 13635 1348 3146 0 2096 Actual deskew Writing data Zeroing lines in arrays Total # of output lines = 15433 Writing the last 2447 lines Total # of output lines = 17880 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: 993 *************************************** ***** ***** ***** 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 94049 writing parheadP writing parhead 20.0 writing parhead 89.19999 writing parhead 87.09999 writing parhead 3.5 before readcalfact skipping readcalfact amplitude ratio and phase = 1.01888 27.81007 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 .160 .240 .273 .608 .929 .772 .448 .312 .340 .163 .256 .282 .619 .959 .794 .466 .317 .344 .151 .267 .304 .635 .979 .807 .469 .323 .346 .130 .267 .332 .659 .993 .807 .463 .332 .347 .109 .252 .352 .684 1.000 .796 .454 .340 .345 .096 .230 .359 .703 .998 .777 .447 .345 .338 .093 .205 .353 .710 .981 .755 .447 .343 .323 .099 .186 .337 .701 .949 .734 .457 .333 .298 .114 .175 .317 .672 .898 .711 .473 .319 .265 r_peak,r_snr = .4495522 4.65968 Correlation Surface of oversamples image at 146 3046 .282 .360 .554 .798 .951 .921 .763 .577 .408 .286 .368 .567 .817 .970 .934 .765 .572 .403 .292 .379 .583 .836 .986 .944 .767 .568 .399 .298 .394 .602 .852 .997 .949 .767 .565 .397 .303 .408 .620 .865 1.000 .947 .763 .561 .394 .306 .423 .637 .872 .995 .939 .759 .559 .393 .308 .437 .653 .876 .985 .928 .755 .561 .397 .309 .450 .665 .874 .968 .911 .750 .566 .404 .307 .455 .668 .860 .938 .884 .739 .568 .411 146 .125 3046 3.313 4.65968 .020412 10.117397 .401891 Correlation Surface at 246 3046 .096 .388 .644 .398 .494 .284 .058 .014 .016 .107 .339 .624 .459 .638 .309 .061 .011 .006 .110 .296 .572 .516 .805 .338 .061 .012 .003 .100 .259 .499 .537 .946 .361 .059 .016 .004 .086 .222 .414 .499 1.000 .365 .052 .021 .008 .078 .180 .323 .405 .930 .342 .042 .022 .014 .083 .131 .235 .295 .760 .292 .029 .017 .014 .106 .086 .165 .209 .550 .229 .018 .009 .006 .146 .055 .118 .162 .362 .169 .011 .003 .000 r_peak,r_snr = .1745619 6.3234 Correlation Surface of oversamples image at 246 3046 .429 .280 .335 .601 .794 .597 .217 .030 .001 .410 .279 .350 .651 .872 .656 .241 .037 .003 .393 .278 .364 .695 .948 .721 .275 .050 .008 .369 .269 .363 .712 .999 .777 .311 .066 .017 .326 .239 .333 .685 1.000 .806 .337 .080 .025 .278 .203 .291 .630 .971 .821 .364 .096 .033 .242 .176 .257 .579 .945 .852 .412 .126 .050 .204 .149 .219 .515 .894 .868 .461 .161 .069 .149 .107 .163 .414 .782 .823 .474 .177 .074 246 3.063 3046 10.281 6.32340 .009815 .738393 -.023225 Correlation Surface at 346 3046 .347 .167 .010 .180 .232 .086 .203 .089 .064 .495 .238 .015 .381 .427 .114 .230 .096 .142 .666 .333 .012 .604 .672 .158 .215 .059 .306 .808 .441 .002 .738 .893 .205 .150 .012 .539 .879 .539 .003 .710 1.000 .223 .068 .002 .754 .861 .607 .032 .543 .933 .192 .012 .035 .852 .764 .646 .098 .331 .714 .130 .001 .078 .804 .643 .670 .189 .157 .442 .069 .017 .098 .669 .539 .655 .257 .054 .213 .031 .031 .092 .530 r_peak,r_snr = .110793 5.8592 Correlation Surface of oversamples image at 346 3046 .009 .094 .304 .587 .678 .548 .416 .435 .483 .003 .092 .346 .687 .791 .608 .419 .404 .435 .000 .079 .368 .767 .888 .659 .414 .364 .375 .004 .062 .375 .825 .962 .693 .400 .316 .310 .019 .042 .364 .851 1.000 .700 .371 .262 .242 .049 .021 .327 .827 .982 .668 .323 .199 .171 .097 .005 .271 .757 .910 .601 .262 .136 .107 .152 .000 .217 .674 .819 .527 .208 .089 .063 .209 .003 .170 .583 .712 .446 .159 .054 .034 346 9.875 3046 -4.875 5.85920 .024542 1.057923 -.046914 Correlation Surface at 446 3046 .013 .055 .149 .436 .428 .469 .534 .010 .016 .056 .390 .622 .668 .542 .012 .002 .021 .387 .819 .828 .506 .021 .000 .015 .419 .963 .899 .443 .039 .003 .027 .470 1.000 .863 .372 .066 .022 .060 .517 .921 .748 .313 .100 .074 .118 .529 .758 .598 .280 .135 .161 .186 .479 .557 .453 .271 r_peak,r_snr = .1860319 4.35099 Correlation Surface of oversamples image at 446 3046 .129 .303 .494 .639 .710 .727 .686 .513 .268 .095 .286 .528 .731 .822 .808 .706 .481 .227 .076 .280 .564 .813 .919 .870 .710 .447 .194 .067 .279 .594 .874 .983 .900 .692 .409 .168 .062 .279 .609 .899 1.000 .885 .647 .364 .144 .063 .282 .612 .894 .973 .833 .583 .317 .126 .073 .295 .613 .867 .915 .759 .515 .277 .115 .092 .314 .610 .821 .832 .670 .446 .244 .109 .115 .333 .596 .754 .727 .568 .376 .215 .108 446 12.500 3046 9.281 4.35099 .031896 .821921 .093935 Correlation Surface at 546 3046 .111 .090 .188 .507 .793 .659 .420 .198 .051 .112 .088 .191 .540 .879 .722 .460 .234 .070 .118 .092 .206 .576 .949 .760 .484 .263 .091 .129 .103 .230 .610 .992 .771 .490 .281 .109 .143 .121 .258 .635 1.000 .757 .477 .282 .120 .159 .143 .285 .653 .975 .718 .447 .265 .120 .172 .162 .304 .671 .935 .668 .414 .239 .112 .183 .174 .314 .690 .896 .621 .385 .212 .098 .189 .180 .314 .702 .862 .585 .362 .185 .082 r_peak,r_snr = .4549647 5.62451 Correlation Surface of oversamples image at 546 3046 .196 .337 .562 .816 .964 .930 .780 .610 .457 .211 .358 .587 .841 .983 .935 .771 .595 .444 .227 .379 .611 .863 .995 .931 .753 .573 .426 .241 .399 .634 .880 .999 .919 .728 .545 .403 .255 .419 .655 .895 1.000 .902 .700 .515 .378 .265 .435 .674 .907 .996 .882 .669 .483 .352 .270 .445 .686 .912 .985 .857 .637 .452 .326 .269 .448 .690 .909 .969 .829 .606 .423 .302 .267 .449 .695 .910 .958 .810 .586 .405 .287 546 -.031 3046 3.750 5.62451 .004875 .737129 .033714 Correlation Surface at 746 3046 .043 .061 .120 .387 .692 .667 .399 .167 .058 .037 .064 .133 .440 .803 .729 .407 .159 .051 .029 .062 .142 .483 .903 .778 .411 .150 .045 .020 .055 .146 .512 .974 .802 .404 .140 .041 .014 .046 .144 .527 1.000 .791 .385 .130 .038 .011 .038 .142 .534 .984 .749 .355 .122 .038 .011 .035 .145 .541 .939 .686 .320 .117 .042 .013 .036 .157 .552 .887 .625 .290 .116 .047 .016 .042 .175 .569 .844 .578 .269 .119 .054 r_peak,r_snr = .5396024 7.70955 Correlation Surface of oversamples image at 746 3046 .117 .235 .457 .728 .907 .918 .795 .605 .407 .119 .239 .468 .754 .945 .951 .814 .614 .411 .118 .241 .476 .774 .973 .975 .826 .618 .413 .117 .242 .481 .787 .992 .990 .830 .617 .412 .116 .243 .484 .794 1.000 .992 .826 .610 .408 .114 .243 .486 .795 .996 .980 .810 .596 .398 .113 .245 .488 .792 .983 .958 .785 .575 .384 .114 .250 .493 .788 .965 .930 .755 .550 .368 .116 .256 .498 .781 .942 .897 .721 .523 .350 746 .219 3046 -1.000 7.70955 .001895 .222054 .006855 Correlation Surface at 846 3046 .601 .231 .086 .367 .530 .336 .163 .230 .364 .703 .223 .120 .567 .702 .334 .142 .210 .259 .715 .192 .146 .737 .869 .345 .127 .183 .163 .621 .149 .159 .827 .979 .371 .124 .156 .095 .476 .114 .167 .836 1.000 .405 .138 .139 .057 .338 .096 .183 .789 .920 .426 .169 .133 .038 .242 .098 .221 .721 .758 .408 .209 .137 .030 .195 .118 .285 .660 .574 .350 .245 .154 .030 .186 .159 .373 .622 .424 .270 .268 .187 .042 r_peak,r_snr = .1858389 5.68395 Correlation Surface of oversamples image at 846 3046 .114 .243 .503 .764 .766 .476 .181 .046 .025 .128 .255 .525 .821 .858 .557 .221 .058 .031 .141 .265 .540 .867 .942 .646 .277 .082 .043 .151 .270 .543 .889 .999 .722 .339 .114 .060 .159 .269 .526 .868 1.000 .761 .393 .152 .081 .167 .270 .504 .820 .956 .763 .436 .195 .106 .188 .288 .499 .776 .897 .744 .472 .244 .137 .217 .318 .502 .724 .812 .694 .488 .290 .169 .245 .346 .493 .645 .685 .596 .460 .311 .188 846 .906 3046 5.188 5.68395 .017855 .946171 -.037758 Correlation Surface at 946 3046 .129 .291 .476 .153 .062 .198 .321 .174 .394 .609 .222 .110 .333 .408 .230 .519 .769 .350 .212 .492 .469 .284 .637 .917 .518 .338 .602 .486 .311 .704 1.000 .673 .427 .596 .459 .297 .684 .977 .753 .438 .489 .410 .242 .572 .848 .726 .386 .351 .363 .169 .413 .660 .621 .319 .245 .331 .108 .268 .476 .498 .280 .197 .323 r_peak,r_snr = .1972571 3.57687 Correlation Surface of oversamples image at 946 3046 16.000 11.809 5.133 1.559 .516 14.599 10.362 4.212 1.262 .515 13.099 8.931 3.401 1.034 .555 11.845 7.844 2.875 .938 .679 10.725 6.988 2.540 .933 .879 946 -16.844 3046 -10.813 3.57687 .031193 .806427 -.080467 Correlation Surface at 1046 3046 .189 .136 .279 .595 .748 .673 .512 .498 .375 .192 .131 .252 .611 .831 .736 .520 .521 .432 .203 .130 .234 .635 .917 .791 .501 .512 .459 .221 .133 .222 .659 .982 .796 .452 .476 .458 .240 .141 .215 .670 1.000 .738 .383 .426 .439 .253 .155 .216 .658 .955 .631 .313 .377 .418 .251 .172 .224 .625 .856 .512 .260 .339 .398 .234 .190 .238 .575 .727 .417 .233 .311 .378 .207 .201 .252 .517 .596 .362 .235 .292 .353 r_peak,r_snr = .3376593 3.65192 Correlation Surface of oversamples image at 1046 3046 .173 .257 .455 .737 .949 .956 .773 .527 .365 .152 .233 .439 .740 .965 .970 .778 .525 .357 .136 .213 .427 .744 .978 .977 .772 .512 .342 .124 .200 .422 .754 .993 .977 .756 .492 .324 .117 .193 .422 .764 1.000 .966 .729 .463 .302 .114 .188 .423 .768 .993 .939 .688 .425 .276 .115 .189 .427 .769 .976 .900 .640 .385 .250 .123 .198 .441 .777 .961 .863 .597 .353 .231 .136 .214 .459 .784 .940 .822 .557 .327 .218 1046 -1.281 3046 3.813 3.65192 .011241 .560926 .045980 Correlation Surface at 1146 3046 .271 .466 .451 .572 .558 .289 .072 .039 .047 .290 .515 .516 .716 .710 .331 .082 .039 .048 .321 .543 .563 .855 .882 .381 .108 .047 .043 .382 .564 .582 .933 1.000 .421 .150 .065 .033 .478 .577 .566 .918 .991 .429 .203 .092 .026 .590 .581 .531 .822 .861 .400 .254 .124 .024 .684 .580 .507 .695 .682 .351 .294 .159 .028 .732 .568 .510 .593 .526 .310 .330 .194 .040 r_peak,r_snr = .2322776 3.65851 Correlation Surface of oversamples image at 1146 3046 .461 .397 .467 .631 .787 .804 .643 .391 .167 .472 .414 .501 .695 .875 .884 .692 .413 .178 .482 .430 .534 .753 .949 .949 .732 .433 .191 .488 .442 .558 .793 .996 .987 .753 .444 .205 .482 .443 .566 .802 1.000 .979 .739 .436 .209 .469 .439 .561 .787 .966 .932 .696 .412 .208 .462 .440 .559 .767 .918 .870 .646 .388 .211 .457 .443 .556 .739 .858 .795 .586 .362 .214 .440 .434 .537 .688 .769 .691 .503 .317 .204 1146 -1.281 3046 -11.750 3.65851 .013182 .333103 -.000951 Correlation Surface at 1246 3046 .008 .003 .036 .121 .215 .333 .199 .018 .030 .017 .022 .038 .308 .436 .410 .320 .121 .109 .035 .049 .035 .547 .706 .391 .341 .274 .217 .053 .070 .030 .714 .930 .287 .230 .364 .303 .055 .075 .022 .699 1.000 .161 .074 .315 .324 .036 .067 .011 .511 .874 .068 .000 .164 .278 .011 .053 .002 .261 .636 .021 .050 .033 .204 .000 .039 .001 .081 .399 .005 .166 .002 .138 .009 .028 .011 .009 .223 .001 .272 .055 .090 r_peak,r_snr = .1158046 8.26786 Correlation Surface of oversamples image at 1246 3046 .003 .037 .156 .339 .488 .543 .530 .430 .322 .005 .054 .237 .495 .648 .617 .507 .374 .293 .008 .063 .304 .639 .797 .671 .460 .293 .233 .014 .065 .350 .755 .923 .706 .397 .201 .156 .024 .056 .357 .814 1.000 .713 .324 .115 .080 .047 .031 .304 .774 .986 .667 .236 .042 .019 .089 .007 .211 .653 .890 .579 .148 .003 .001 .134 .000 .127 .520 .784 .506 .090 .006 .037 .184 .012 .057 .378 .662 .437 .053 .037 .114 1246 5.938 3046 -3.813 8.26786 .019298 .770300 .041045 Correlation Surface at 1346 3046 .396 .473 .584 .786 .879 .795 .610 .483 .367 .367 .442 .546 .785 .891 .788 .606 .459 .339 .353 .424 .513 .782 .929 .800 .605 .442 .317 .356 .422 .492 .775 .972 .814 .599 .430 .301 .373 .437 .490 .765 1.000 .819 .589 .427 .293 .403 .468 .506 .750 .998 .811 .579 .431 .294 .442 .512 .541 .737 .969 .792 .572 .442 .305 .482 .561 .590 .734 .928 .771 .571 .460 .325 .518 .604 .643 .746 .895 .755 .574 .477 .346 r_peak,r_snr = .5389656 2.35108 Correlation Surface of oversamples image at 1346 3046 .593 .706 .858 .967 .985 .927 .819 .690 .580 .567 .689 .854 .974 .990 .922 .804 .673 .568 .545 .671 .845 .977 .995 .920 .791 .658 .556 .525 .651 .833 .976 .999 .918 .779 .642 .544 .511 .633 .817 .970 1.000 .916 .769 .626 .533 .505 .620 .802 .961 .999 .914 .760 .613 .524 .506 .610 .785 .946 .992 .909 .750 .602 .517 .511 .601 .764 .925 .977 .898 .739 .591 .510 .522 .595 .744 .900 .958 .885 .728 .582 .505 1346 -.125 3046 -.750 2.35108 .003837 .434001 -.006548 Correlation Surface at 1446 3046 .096 .005 .005 .096 .413 .033 .021 .003 .003 .101 .001 .008 .127 .575 .097 .003 .009 .021 .084 .000 .007 .177 .770 .198 .002 .009 .042 .061 .003 .003 .248 .936 .298 .017 .005 .051 .044 .005 .000 .337 1.000 .343 .032 .000 .043 .034 .004 .004 .439 .953 .324 .038 .002 .027 .030 .002 .020 .551 .844 .271 .041 .010 .015 .028 .000 .042 .657 .741 .217 .049 .024 .008 .024 .000 .058 .721 .664 .182 .070 .041 .003 r_peak,r_snr = .1585326 10.25881 Correlation Surface of oversamples image at 1446 3046 .008 .022 .273 .711 .828 .507 .170 .030 .001 .006 .033 .318 .781 .903 .577 .219 .052 .005 .002 .050 .369 .843 .961 .634 .263 .074 .011 .000 .074 .424 .891 .995 .673 .298 .093 .018 .001 .103 .476 .921 1.000 .685 .315 .103 .021 .004 .137 .528 .938 .980 .672 .317 .105 .023 .013 .179 .587 .957 .956 .652 .315 .108 .026 .028 .226 .645 .969 .921 .620 .306 .108 .030 .042 .261 .677 .949 .855 .560 .276 .099 .029 1446 -.156 3046 3.375 10.25881 .010454 1.193587 .053607 Correlation Surface at 1546 3046 .016 .112 .165 .467 .768 .414 .090 .017 .004 .029 .134 .171 .510 .874 .477 .089 .009 .009 .042 .150 .193 .570 .956 .557 .107 .004 .011 .050 .161 .231 .643 .999 .637 .141 .001 .007 .055 .167 .278 .713 1.000 .686 .177 .000 .001 .060 .169 .319 .755 .959 .683 .200 .000 .000 .067 .163 .336 .739 .886 .634 .196 .000 .002 .077 .150 .314 .653 .791 .563 .164 .001 .002 .085 .134 .265 .531 .688 .495 .122 .002 .000 r_peak,r_snr = .215017 8.31764 Correlation Surface of oversamples image at 1546 3046 .160 .274 .510 .781 .899 .749 .429 .159 .030 .165 .286 .531 .812 .948 .812 .485 .189 .035 .173 .302 .554 .836 .978 .859 .537 .221 .042 .183 .325 .583 .858 .995 .891 .585 .256 .050 .197 .354 .618 .879 1.000 .906 .623 .291 .062 .214 .387 .652 .893 .989 .901 .645 .321 .074 .231 .417 .679 .894 .963 .877 .649 .340 .083 .244 .438 .693 .881 .922 .834 .634 .346 .089 .252 .449 .692 .852 .868 .778 .600 .337 .089 1546 1.031 3046 -3.813 8.31764 .024518 3.853319 .122015 Correlation Surface at 1646 3046 .000 .012 .230 .545 .638 .498 .462 .570 .441 .000 .001 .201 .632 .754 .487 .454 .671 .555 .000 .001 .162 .703 .882 .485 .463 .804 .697 .006 .001 .123 .735 .979 .480 .483 .931 .824 .023 .000 .090 .703 1.000 .461 .494 .996 .897 .048 .007 .067 .604 .928 .419 .466 .949 .899 .074 .032 .054 .457 .781 .365 .398 .802 .836 .097 .075 .047 .294 .600 .323 .318 .616 .746 .115 .124 .042 .153 .434 .303 .254 .451 .661 r_peak,r_snr = .2094354 3.77915 Correlation Surface of oversamples image at 1646 3046 .517 .528 .618 .748 .757 .582 .460 .465 .584 .773 .845 .693 .397 .397 .540 .783 .919 .795 .335 .332 .493 .779 .972 .876 .277 .271 .443 .763 1.000 .931 .223 .215 .391 .729 .996 .951 .176 .168 .339 .680 .958 .934 .138 .129 .288 .614 .884 .879 .106 .097 .237 .533 .781 .794 1646 3.125 3046 .281 3.77915 .011597 .824279 -.015976 Correlation Surface at 1746 3046 .083 .287 .580 .793 .813 .492 .375 .373 .296 .092 .285 .580 .845 .866 .514 .355 .330 .275 .107 .296 .582 .887 .921 .551 .356 .300 .255 .127 .318 .584 .913 .969 .595 .369 .285 .240 .151 .346 .587 .922 1.000 .640 .392 .284 .231 .175 .372 .585 .907 .999 .671 .413 .292 .228 .194 .384 .573 .860 .956 .681 .420 .301 .228 .204 .379 .553 .789 .874 .669 .414 .305 .227 .204 .365 .538 .718 .786 .648 .403 .301 .226 r_peak,r_snr = .4205606 4.60505 Correlation Surface of oversamples image at 1746 3046 .403 .535 .673 .823 .929 .902 .744 .563 .434 .405 .538 .682 .844 .958 .934 .775 .590 .457 .406 .538 .687 .857 .979 .958 .799 .612 .474 .409 .537 .689 .865 .992 .975 .818 .630 .487 .414 .539 .691 .871 1.000 .987 .834 .645 .497 .420 .541 .693 .872 1.000 .990 .843 .656 .503 .423 .540 .688 .862 .984 .976 .839 .658 .501 .425 .539 .682 .846 .958 .950 .825 .653 .495 .437 .548 .686 .838 .937 .928 .817 .656 .497 1746 2.719 3046 -8.250 4.60505 .010148 1.033745 -.058536 Correlation Surface at 1846 3046 .673 .800 .821 .829 .875 .769 .543 .390 .243 .682 .823 .853 .889 .919 .771 .560 .423 .259 .684 .822 .872 .947 .963 .772 .583 .460 .282 .685 .803 .868 .984 .992 .771 .608 .491 .308 .691 .781 .844 .993 1.000 .770 .634 .513 .329 .700 .764 .811 .978 .990 .765 .651 .521 .343 .706 .754 .779 .951 .968 .756 .651 .514 .347 .702 .746 .758 .925 .940 .744 .635 .494 .342 .686 .732 .751 .912 .918 .735 .613 .471 .333 r_peak,r_snr = .5928086 2.62138 Correlation Surface of oversamples image at 1846 3046 .829 .829 .843 .882 .931 .942 .879 .753 .618 .815 .823 .851 .906 .960 .962 .885 .755 .624 .796 .811 .852 .922 .981 .975 .886 .753 .628 .773 .794 .847 .931 .995 .981 .883 .750 .630 .748 .773 .837 .932 1.000 .980 .877 .745 .632 .723 .750 .822 .925 .995 .971 .865 .737 .632 .698 .725 .803 .911 .980 .953 .848 .726 .628 .676 .702 .783 .893 .959 .930 .827 .711 .619 .662 .685 .769 .877 .939 .909 .810 .699 .612 1846 .719 3046 -3.781 2.62138 .006256 .766865 .000353 Correlation Surface at 1946 3046 .533 .415 .470 .780 .750 .570 .487 .401 .487 .837 .841 .658 .448 .387 .500 .878 .921 .737 .416 .378 .503 .883 .976 .785 .389 .378 .503 .853 1.000 .799 .370 .387 .505 .805 .993 .789 .360 .405 .523 .767 .969 .777 .358 .428 .565 .761 .948 .781 .358 .452 .632 .793 .943 .807 r_peak,r_snr = .40023 1.89947 Correlation Surface of oversamples image at 1946 3046 2.445 2.940 3.494 3.892 3.982 3.820 3.492 3.214 3.197 2.484 2.943 3.460 3.858 3.963 3.794 3.449 3.162 3.128 2.552 2.978 3.441 3.810 3.917 3.750 3.401 3.098 3.035 2.708 3.112 3.514 3.836 3.937 3.779 3.430 3.101 2.994 1946 12.938 3046 -6.188 1.89947 .017765 1.266091 -.084058 Correlation Surface at 2046 3046 .149 .179 .256 .481 .655 .496 .240 .153 .154 .155 .162 .247 .536 .734 .524 .263 .175 .172 .165 .150 .246 .610 .848 .576 .313 .208 .184 .168 .140 .252 .683 .949 .622 .370 .235 .177 .161 .131 .264 .740 1.000 .639 .410 .245 .152 .144 .125 .280 .762 .981 .615 .413 .234 .121 .125 .126 .295 .747 .900 .556 .380 .206 .096 .111 .135 .304 .698 .790 .485 .330 .172 .083 .107 .155 .309 .629 .682 .424 .281 .145 .082 r_peak,r_snr = .3554685 5.51193 Correlation Surface of oversamples image at 2046 3046 .311 .462 .656 .824 .885 .814 .670 .535 .426 .311 .478 .693 .875 .928 .835 .677 .547 .449 .309 .492 .727 .921 .965 .849 .676 .552 .466 .305 .502 .754 .957 .990 .852 .666 .546 .474 .299 .508 .772 .978 1.000 .842 .646 .532 .472 .290 .506 .775 .979 .988 .816 .616 .506 .454 .278 .495 .762 .958 .956 .776 .576 .469 .423 .267 .484 .744 .928 .916 .732 .536 .432 .386 .259 .473 .721 .892 .871 .688 .498 .395 .347 2046 -.219 3046 1.156 5.51193 .006645 .357339 .014589 At line = 3400 Reading in data.... Correlation Surface at 146 3446 .031 .001 .117 .488 .828 .458 .112 .074 .073 .037 .000 .103 .488 .865 .496 .128 .079 .076 .041 .001 .086 .492 .917 .517 .133 .080 .078 .043 .003 .069 .497 .968 .515 .126 .078 .078 .042 .005 .057 .494 1.000 .493 .111 .073 .074 .039 .006 .050 .479 .993 .459 .096 .066 .066 .036 .007 .047 .450 .945 .424 .084 .059 .056 .034 .007 .046 .419 .875 .393 .078 .052 .047 .036 .010 .046 .397 .805 .369 .076 .046 .040 r_peak,r_snr = .404098 7.66934 Correlation Surface of oversamples image at 146 3446 .091 .239 .476 .776 .955 .839 .534 .266 .127 .080 .227 .471 .782 .967 .848 .536 .265 .127 .071 .218 .470 .792 .983 .856 .536 .264 .128 .064 .210 .470 .803 .996 .860 .532 .261 .129 .059 .203 .468 .808 1.000 .856 .523 .256 .130 .055 .196 .463 .805 .992 .842 .508 .250 .130 .051 .189 .453 .791 .972 .818 .489 .240 .129 .049 .182 .440 .770 .944 .789 .469 .232 .128 .046 .175 .424 .742 .907 .754 .446 .223 .128 146 .031 3446 -1.094 7.66934 .002067 .751844 .008970 Correlation Surface at 246 3446 .028 .040 .017 .308 .266 .076 .110 .042 .079 .002 .353 .457 .024 .096 .033 .066 .000 .382 .693 .001 .052 .008 .019 .001 .393 .902 .043 .016 .002 .002 .001 .375 1.000 .115 .002 .043 .056 .000 .327 .970 .166 .000 .124 .170 .000 .261 .862 .191 .003 .229 .304 .004 .189 .734 .218 .010 .338 .421 .016 .127 .621 .268 .030 r_peak,r_snr = .1025832 7.71785 Correlation Surface of oversamples image at 246 3446 .009 .083 .323 .697 .893 .593 .179 .024 .015 .014 .083 .320 .710 .935 .653 .221 .037 .020 .021 .082 .310 .703 .948 .685 .245 .044 .020 .033 .089 .312 .710 .975 .725 .271 .053 .022 .047 .098 .315 .716 1.000 .761 .295 .062 .024 .053 .092 .291 .679 .970 .749 .294 .062 .021 .049 .075 .247 .611 .904 .707 .279 .059 .017 .060 .078 .243 .611 .922 .740 .314 .081 .026 246 12.031 3446 8.813 7.71785 .022948 2.522214 -.162021 Correlation Surface at 346 3446 .009 .128 .089 .212 .231 .201 .154 .054 .027 .001 .091 .078 .330 .461 .224 .075 .022 .009 .000 .064 .081 .488 .731 .241 .020 .008 .013 .001 .053 .095 .630 .942 .244 .000 .001 .037 .007 .057 .111 .681 1.000 .227 .010 .001 .079 r_peak,r_snr = .1360936 6.16452 Correlation Surface of oversamples image at 346 3446 1.173 1.552 3.139 3.654 2.190 .982 .782 1.295 1.682 3.221 3.476 1.831 .658 .448 1.318 1.711 3.132 3.130 1.404 .353 .180 1.578 2.022 3.402 3.153 1.263 .240 .087 346 -8.813 3446 17.844 6.16452 .014754 .702522 .012740 Correlation Surface at 446 3446 .013 .068 .001 .502 .911 .423 .000 .000 .050 .029 .129 .008 .536 .980 .575 .022 .004 .040 .036 .162 .010 .563 1.000 .711 .090 .032 .045 .027 .134 .002 .572 .935 .804 .193 .109 .071 .009 .064 .002 .548 .763 .800 .286 .229 .132 .000 .008 .030 .477 .512 .664 .325 .353 .237 .011 .007 .079 .360 .260 .430 .290 .434 .372 r_peak,r_snr = .1354304 4.83153 Correlation Surface of oversamples image at 446 3446 .053 .321 .571 .783 .848 .553 .150 .002 .029 .054 .327 .585 .812 .908 .633 .208 .015 .009 .060 .337 .600 .839 .963 .713 .275 .040 .000 .071 .348 .607 .848 .995 .775 .339 .075 .004 .087 .361 .605 .836 1.000 .816 .396 .117 .022 .110 .374 .597 .811 .986 .841 .448 .166 .053 .137 .383 .576 .766 .943 .839 .485 .213 .093 .158 .375 .529 .683 .849 .787 .487 .240 .126 .172 .351 .461 .574 .716 .689 .450 .242 .146 446 -.500 3446 -12.156 4.83153 .055728 3.034912 -.234486 Correlation Surface at 546 3446 .021 .029 .222 .639 .674 .440 .225 .009 .003 .026 .028 .229 .762 .789 .463 .216 .020 .000 .032 .029 .218 .860 .900 .469 .201 .034 .003 .040 .030 .193 .905 .983 .456 .185 .047 .007 .044 .031 .166 .877 1.000 .427 .171 .055 .008 r_peak,r_snr = .2286312 7.71068 Correlation Surface of oversamples image at 546 3446 .010 .118 .408 .729 .826 .707 .558 .442 .299 .008 .112 .414 .767 .892 .770 .593 .448 .294 .005 .103 .409 .787 .944 .825 .620 .445 .283 .004 .093 .395 .792 .981 .868 .636 .432 .267 .003 .084 .376 .784 1.000 .895 .639 .412 .247 .002 .074 .350 .754 .988 .894 .624 .382 .222 .001 .062 .314 .697 .934 .853 .581 .338 .192 .000 .051 .273 .621 .846 .779 .519 .287 .159 .000 .043 .237 .542 .743 .686 .449 .239 .131 546 .594 3446 13.719 7.71068 .012398 .671255 -.007888 Correlation Surface at 646 3446 .114 .333 .301 .456 .415 .073 .001 .010 .003 .117 .280 .316 .624 .551 .092 .001 .000 .009 .094 .202 .291 .806 .715 .118 .018 .012 .039 .054 .122 .228 .932 .881 .157 .070 .055 .058 .023 .064 .155 .960 1.000 .207 .146 .111 .051 .008 .030 .093 .865 .988 .240 .187 .132 .032 .003 .013 .053 .691 .827 .215 .142 .099 .017 .003 .006 .033 .511 .590 .140 .058 .047 .013 .004 .002 .025 .373 .377 .065 .009 .015 .018 r_peak,r_snr = .1376985 9.38624 Correlation Surface of oversamples image at 646 3446 .166 .302 .531 .772 .834 .616 .282 .077 .019 .153 .290 .535 .811 .895 .660 .303 .091 .031 .135 .267 .523 .834 .945 .699 .324 .107 .048 .115 .238 .498 .842 .982 .733 .347 .126 .069 .096 .205 .464 .833 1.000 .754 .365 .144 .090 .075 .172 .422 .805 .992 .754 .370 .155 .106 .057 .141 .379 .764 .961 .732 .364 .158 .113 .043 .119 .346 .723 .921 .702 .352 .156 .113 .034 .103 .320 .677 .865 .658 .331 .147 .105 646 1.469 3446 9.094 9.38624 .025072 1.180386 -.074743 Correlation Surface at 746 3446 .282 .303 .411 .694 .918 .765 .465 .295 .232 .293 .311 .411 .691 .933 .766 .454 .275 .224 .302 .319 .420 .704 .966 .781 .447 .258 .214 .307 .326 .439 .724 .996 .801 .444 .247 .205 .307 .327 .461 .738 1.000 .812 .445 .244 .201 .308 .324 .476 .732 .963 .800 .446 .247 .205 .312 .323 .480 .703 .891 .762 .442 .258 .216 .323 .328 .476 .660 .804 .706 .430 .271 .233 .336 .342 .470 .617 .725 .644 .408 .281 .248 r_peak,r_snr = .6459325 2.6316 Correlation Surface of oversamples image at 746 3446 .368 .500 .669 .834 .931 .909 .771 .579 .403 .380 .519 .692 .858 .954 .926 .778 .579 .397 .391 .537 .714 .882 .976 .943 .788 .580 .392 .402 .554 .734 .900 .993 .957 .796 .583 .389 .411 .569 .748 .910 1.000 .963 .801 .584 .387 .418 .579 .756 .911 .996 .959 .800 .584 .385 .422 .584 .755 .900 .979 .945 .793 .581 .383 .422 .583 .746 .880 .951 .920 .777 .574 .381 .421 .578 .731 .852 .915 .886 .755 .564 .379 746 .125 3446 6.781 2.63160 .001758 .100183 .000629 Correlation Surface at 846 3446 .325 .293 .404 .473 .452 .486 .281 .139 .037 .380 .338 .401 .556 .566 .545 .259 .110 .028 .404 .368 .386 .646 .731 .653 .254 .093 .032 .396 .365 .362 .715 .905 .783 .261 .091 .051 .368 .328 .333 .731 1.000 .862 .271 .107 .092 .339 .272 .297 .669 .938 .818 .274 .141 .152 .319 .223 .254 .543 .729 .648 .261 .190 .214 .311 .193 .208 .386 .459 .425 .235 .243 .258 .318 .186 .160 .235 .228 .235 .204 .296 .281 r_peak,r_snr = .1770756 5.0605 Correlation Surface of oversamples image at 846 3446 .430 .547 .687 .735 .721 .706 .591 .379 .194 .417 .556 .732 .812 .809 .784 .634 .381 .177 .401 .554 .760 .874 .890 .861 .680 .388 .166 .386 .546 .774 .921 .959 .930 .727 .401 .162 .370 .529 .766 .939 1.000 .977 .761 .412 .162 .348 .497 .728 .915 .998 .987 .771 .415 .161 .325 .455 .669 .858 .957 .962 .758 .409 .163 .307 .419 .607 .788 .894 .913 .730 .403 .169 .292 .381 .539 .697 .801 .832 .680 .387 .173 846 -3.781 3446 -8.688 5.06050 .069014 .448392 -.033247 Correlation Surface at 946 3446 .043 .085 .202 .591 .789 .519 .050 .088 .089 .100 .147 .257 .610 .808 .521 .030 .150 .138 .157 .195 .317 .653 .874 .578 .031 .186 .191 .197 .219 .377 .702 .961 .672 .047 .181 .243 .214 .222 .428 .729 1.000 .742 .074 .141 .281 .219 .214 .464 .705 .920 .717 .097 .092 .296 .231 .208 .481 .634 .720 .569 .097 .059 .287 .262 .211 .482 .549 .482 .350 .069 .048 .263 .311 .224 .487 .487 .286 .156 .031 .055 .232 r_peak,r_snr = .1469883 5.84709 Correlation Surface of oversamples image at 946 3446 .313 .592 .820 .924 .990 .943 .640 .250 .025 .335 .616 .832 .925 .989 .949 .645 .244 .018 .360 .645 .852 .935 .997 .960 .657 .244 .014 .388 .676 .872 .945 1.000 .967 .671 .255 .015 .413 .701 .886 .949 .998 .969 .689 .275 .020 .429 .714 .890 .947 .991 .967 .705 .299 .029 .437 .717 .885 .938 .978 .958 .718 .327 .041 .444 .717 .876 .924 .961 .947 .733 .363 .062 946 .188 3446 -1.781 5.84709 .061448 1.168675 -.030957 Correlation Surface at 1046 3446 .396 .277 .284 .541 .841 .371 .060 .036 .061 .419 .289 .356 .619 .904 .483 .106 .066 .080 .404 .280 .419 .686 .956 .581 .145 .089 .093 .365 .257 .451 .727 .991 .646 .163 .099 .097 .319 .226 .441 .744 1.000 .657 .157 .093 .091 .281 .191 .389 .743 .983 .611 .131 .077 .075 .254 .152 .307 .728 .950 .524 .097 .056 .053 .234 .111 .215 .694 .900 .417 .064 .038 .034 .211 .074 .133 .631 .845 .324 .040 .025 .020 r_peak,r_snr = .2442543 5.0913 Correlation Surface of oversamples image at 1046 3446 .104 .230 .469 .790 .887 .637 .347 .234 .244 .111 .255 .500 .817 .923 .692 .399 .285 .308 .126 .292 .538 .842 .961 .762 .465 .341 .364 .146 .338 .582 .862 .989 .828 .529 .385 .398 .172 .392 .627 .871 1.000 .882 .581 .412 .405 .203 .453 .673 .873 .996 .918 .618 .419 .386 .236 .516 .719 .869 .975 .928 .632 .404 .344 .267 .578 .762 .858 .935 .905 .617 .370 .289 .292 .630 .797 .838 .876 .849 .574 .319 .227 1046 .094 3446 8.250 5.09130 .019954 7.240583 .177968 Correlation Surface at 1146 3446 .239 .919 .883 .465 .371 .072 .022 .055 .016 .286 .925 .826 .541 .565 .127 .026 .052 .016 .316 .836 .747 .630 .787 .196 .030 .057 .021 .316 .672 .652 .711 .952 .240 .033 .065 .033 .297 .493 .555 .754 1.000 .236 .038 .070 .048 .284 .362 .481 .758 .934 .200 .036 .064 .059 .297 .302 .445 .745 .813 .161 .023 .039 .062 r_peak,r_snr = .1412745 6.17382 Correlation Surface of oversamples image at 1146 3446 .812 .680 .635 .694 .774 .778 .584 .245 .025 .808 .689 .672 .764 .866 .868 .640 .260 .024 .795 .696 .706 .825 .941 .934 .674 .263 .022 .772 .699 .733 .869 .989 .969 .681 .254 .018 .736 .690 .744 .886 1.000 .964 .660 .234 .013 .688 .669 .738 .875 .976 .924 .617 .208 .009 .643 .649 .728 .854 .935 .870 .567 .183 .006 .600 .628 .715 .822 .880 .803 .513 .161 .005 .545 .590 .679 .765 .798 .715 .448 .137 .004 1146 1.719 3446 12.281 6.17382 .016594 1.431589 .041448 Correlation Surface at 1246 3446 .069 .017 .001 .113 .637 .490 .273 .117 .001 .068 .002 .013 .128 .790 .679 .263 .061 .000 .031 .011 .055 .183 .917 .797 .219 .016 .002 .001 .071 .133 .276 .989 .812 .152 .000 .004 .018 .168 .220 .389 1.000 .749 .094 .003 .005 .074 .240 .265 .485 .956 .674 .067 .002 .001 .123 .248 .250 .523 .869 .630 .075 .002 .001 .124 .203 .197 .498 .760 .620 .123 .033 .021 .083 .146 .139 .438 .661 .635 .218 .110 .070 r_peak,r_snr = .1529935 6.17356 Correlation Surface of oversamples image at 1246 3446 .065 .199 .514 .857 .923 .793 .709 .717 .634 .081 .204 .508 .871 .963 .831 .721 .684 .558 .105 .217 .510 .883 .990 .852 .712 .628 .467 .139 .243 .524 .894 1.000 .849 .677 .551 .369 .181 .276 .545 .898 .988 .816 .617 .458 .271 .227 .312 .566 .889 .950 .758 .540 .363 .185 .277 .354 .590 .874 .897 .685 .459 .277 .119 .329 .405 .622 .862 .842 .613 .384 .207 .073 1246 .406 3446 2.250 6.17356 .178080 9.746931 1.243549 Correlation Surface at 1346 3446 .004 .048 .255 .605 .718 .830 .764 .587 .229 .002 .069 .311 .737 .825 .868 .814 .652 .274 .001 .089 .352 .841 .923 .866 .834 .707 .312 .001 .097 .360 .891 .986 .829 .835 .762 .346 .001 .090 .335 .883 1.000 .771 .827 .818 .376 .002 .071 .290 .835 .966 .702 .810 .857 .397 .003 .051 .239 .763 .901 .633 .772 .849 .395 .003 .036 .196 .688 .829 .576 .701 .769 .360 r_peak,r_snr = .233775 4.78171 Correlation Surface of oversamples image at 1346 3446 .241 .398 .597 .793 .850 .796 .760 .768 .779 .259 .426 .645 .861 .919 .839 .770 .752 .755 .268 .439 .673 .907 .969 .868 .769 .728 .723 .266 .436 .678 .928 .998 .883 .760 .701 .690 .253 .415 .659 .920 1.000 .878 .739 .669 .656 .229 .378 .616 .881 .971 .849 .701 .625 .615 .199 .334 .561 .826 .924 .804 .652 .575 .571 .171 .292 .509 .772 .875 .759 .605 .528 .532 .145 .253 .457 .715 .820 .709 .556 .481 .493 1346 -1.594 3446 10.750 4.78171 .058654 2.453587 .159718 Correlation Surface at 1446 3446 .477 .635 .533 .511 .812 .560 .561 .560 .288 .553 .709 .642 .623 .916 .600 .590 .586 .268 .577 .705 .694 .702 .990 .684 .635 .579 .242 .534 .610 .642 .704 1.000 .777 .671 .528 .202 .440 .461 .520 .641 .945 .852 .695 .453 .153 .334 .317 .393 .551 .847 .892 .721 .381 .105 .249 .216 .299 .474 .740 .882 .757 .335 .067 .198 .159 .245 .430 .645 .815 .792 .319 .041 r_peak,r_snr = .2290313 4.01164 Correlation Surface of oversamples image at 1446 3446 .762 .817 .783 .765 .821 .834 .749 .684 .688 .794 .862 .844 .837 .883 .868 .749 .660 .668 .827 .905 .901 .903 .938 .897 .752 .648 .661 .853 .939 .946 .956 .980 .916 .754 .644 .664 .866 .958 .973 .987 1.000 .919 .752 .646 .673 .867 .959 .979 .994 .998 .908 .749 .656 .690 .857 .946 .965 .981 .978 .888 .747 .675 .715 .834 .916 .932 .947 .942 .859 .742 .696 .738 .791 .865 .876 .890 .886 .815 .728 .713 .755 1446 -.656 3446 -13.719 4.01164 .052709 1.711676 -.224229 Correlation Surface at 1546 3446 .054 .112 .001 .039 .056 .038 .065 .013 .090 .010 .154 .275 .119 .045 .000 .044 .059 .306 .594 .263 .026 .009 .007 .154 .448 .871 .452 .016 .025 .004 .298 .555 1.000 .642 .012 .031 .046 .482 .625 .975 .769 .009 .020 .122 .684 .650 .847 .764 .003 .005 .207 .859 .646 .680 .603 .000 .000 .256 .913 .618 .498 .340 .006 r_peak,r_snr = 9.96507E-02 4.639 Correlation Surface of oversamples image at 1546 3446 .077 .193 .402 .702 .770 .563 .315 .153 .067 .144 .280 .508 .825 .863 .589 .290 .111 .034 .219 .358 .586 .911 .933 .609 .269 .080 .014 .298 .420 .632 .958 .980 .624 .254 .059 .004 .370 .462 .644 .966 1.000 .629 .240 .044 .000 .428 .481 .625 .933 .993 .628 .230 .034 .000 .465 .474 .574 .861 .955 .618 .219 .026 .003 .477 .446 .504 .764 .890 .593 .204 .019 .007 .483 .416 .441 .675 .824 .566 .189 .013 .010 1546 12.281 3446 6.406 4.63900 .062752 1.680557 -.090001 Correlation Surface at 1646 3446 .001 .134 .272 .409 .324 .067 .017 .039 .114 .000 .157 .286 .580 .525 .113 .014 .043 .181 .000 .139 .263 .720 .749 .186 .013 .044 .259 .007 .086 .211 .799 .929 .259 .007 .044 .357 .028 .029 .145 .804 1.000 .291 .001 .047 .484 .058 .002 .084 .759 .939 .259 .001 .064 .638 .073 .004 .040 .701 .810 .186 .006 .105 .790 .053 .012 .014 .653 .692 .123 .003 .185 .898 .017 .013 .004 .623 .629 .098 .002 .305 .911 r_peak,r_snr = .1281511 4.79132 Correlation Surface of oversamples image at 1646 3446 .120 .209 .414 .646 .739 .642 .433 .176 .025 .092 .183 .413 .694 .832 .747 .514 .212 .028 .065 .155 .405 .731 .911 .838 .587 .245 .032 .042 .127 .392 .756 .969 .907 .643 .273 .036 .024 .102 .374 .766 1.000 .945 .675 .292 .040 .012 .080 .351 .759 .999 .941 .674 .296 .043 .004 .062 .328 .742 .973 .905 .645 .288 .047 .001 .048 .307 .717 .929 .845 .594 .272 .051 .000 .035 .280 .674 .859 .757 .520 .243 .053 1646 -.375 3446 -9.250 4.79132 .023802 1.321979 -.014547 Correlation Surface at 1746 3446 .521 .124 .201 .581 .696 .643 .220 .145 .094 .422 .102 .174 .604 .799 .726 .311 .230 .116 .328 .102 .193 .637 .908 .794 .381 .290 .138 .248 .124 .256 .675 .984 .846 .433 .326 .173 .185 .171 .357 .715 1.000 .875 .476 .356 .238 .147 .241 .482 .749 .958 .877 .528 .407 .339 .135 .329 .611 .782 .887 .858 .593 .486 .456 .148 .423 .717 .816 .829 .826 .661 .574 .542 .180 .509 .763 .827 .793 .785 .714 .631 .550 r_peak,r_snr = .1809717 3.0994 Correlation Surface of oversamples image at 1746 3446 .877 1.612 2.550 2.973 2.823 2.622 2.581 2.692 .903 1.754 2.815 3.275 3.072 2.799 2.683 2.687 .887 1.804 2.934 3.416 3.199 2.900 2.741 2.650 .976 1.967 3.168 3.679 3.463 3.164 2.990 2.821 1746 -1.500 3446 4.813 3.09940 .065784 3.033274 .105383 Correlation Surface at 1846 3446 .060 .169 .381 .715 .813 .672 .633 .638 .611 .058 .183 .391 .759 .883 .734 .649 .658 .629 .064 .216 .408 .782 .946 .803 .658 .656 .628 .078 .262 .425 .780 .988 .865 .662 .636 .606 .098 .309 .437 .753 1.000 .912 .666 .608 .563 .119 .347 .442 .714 .979 .935 .674 .580 .509 .135 .369 .443 .675 .938 .934 .688 .561 .459 .143 .372 .445 .646 .891 .915 .710 .554 .426 .144 .364 .456 .635 .852 .890 .741 .556 .412 r_peak,r_snr = .5622449 2.82575 Correlation Surface of oversamples image at 1846 3446 .327 .510 .739 .898 .927 .890 .844 .780 .666 .318 .504 .744 .914 .953 .925 .881 .805 .675 .312 .501 .749 .926 .971 .953 .913 .828 .681 .312 .506 .759 .940 .988 .978 .944 .852 .691 .319 .516 .772 .952 1.000 .996 .970 .874 .700 .330 .528 .782 .955 .999 1.000 .984 .889 .705 .345 .541 .788 .949 .985 .991 .987 .897 .705 .368 .562 .799 .947 .974 .984 .994 .911 .711 1846 .656 3446 -3.188 2.82575 .009373 .379414 -.043044 Correlation Surface at 1946 3446 .028 .114 .328 .443 .767 .419 .190 .233 .492 .031 .100 .347 .505 .849 .461 .182 .192 .432 .031 .087 .334 .558 .923 .511 .184 .165 .382 .027 .077 .295 .578 .976 .561 .204 .158 .345 .022 .072 .247 .561 1.000 .606 .245 .168 .317 .020 .074 .206 .513 .989 .642 .303 .187 .295 .025 .084 .182 .450 .941 .657 .360 .208 .277 .040 .104 .176 .393 .856 .628 .386 .221 .261 .065 .129 .186 .358 .748 .556 .366 .222 .257 r_peak,r_snr = .2739247 3.09996 Correlation Surface of oversamples image at 1946 3446 .255 .320 .444 .687 .923 .858 .500 .197 .077 .217 .292 .439 .703 .955 .899 .544 .232 .099 .185 .268 .432 .715 .981 .934 .585 .268 .123 .162 .249 .425 .723 .998 .961 .622 .305 .150 .146 .235 .416 .721 1.000 .972 .646 .336 .176 .134 .222 .403 .702 .974 .951 .647 .354 .195 .126 .211 .386 .668 .920 .897 .621 .354 .204 .127 .212 .380 .640 .865 .837 .589 .351 .212 1946 .219 3446 4.781 3.09996 .016016 3.397805 -.179198 At line = 3800 Reading in data.... Correlation Surface at 146 3846 .230 .387 .630 .861 .779 .703 .523 .341 .088 .249 .515 .745 .941 .847 .672 .432 .330 .118 .256 .619 .815 .992 .928 .664 .374 .314 .140 .247 .666 .819 .992 .988 .683 .360 .304 .151 .222 .633 .758 .939 1.000 .727 .394 .307 .153 .179 .534 .657 .847 .951 .776 .464 .328 .152 .130 .403 .544 .741 .858 .801 .542 .357 .156 .087 .278 .438 .649 .761 .779 .589 .385 .168 .059 .184 .355 .592 .697 .718 .588 .408 .190 r_peak,r_snr = .2568154 4.10781 Correlation Surface of oversamples image at 146 3846 .472 .634 .791 .912 .983 .961 .815 .616 .465 .519 .665 .806 .920 .989 .960 .801 .584 .420 .565 .691 .814 .924 .996 .964 .793 .561 .386 .609 .714 .818 .924 1.000 .968 .790 .548 .365 .647 .728 .814 .916 .996 .967 .789 .545 .359 .670 .727 .795 .894 .980 .958 .789 .553 .367 .677 .713 .767 .863 .953 .942 .791 .571 .390 .672 .691 .735 .828 .919 .919 .793 .598 .426 146 -1.344 3846 -12.781 4.10781 .113607 1.746323 -.360626 Correlation Surface at 246 3846 .007 .002 .029 .103 .031 .018 .000 .100 .243 .175 .056 .004 .154 .414 .471 .117 .032 .151 .515 .814 .166 .097 .097 .479 1.000 .173 .183 .033 .334 .897 .148 .251 .002 .172 .571 .118 .291 .006 .064 .231 .102 .307 .018 .018 .042 r_peak,r_snr = .1198693 8.66603 Correlation Surface of oversamples image at 246 3846 .409 .153 .148 .394 .639 .339 .016 .063 .117 .419 .194 .214 .511 .798 .444 .030 .059 .100 .404 .228 .282 .617 .925 .531 .043 .059 .095 .372 .254 .345 .697 .999 .583 .051 .062 .098 .326 .266 .386 .730 1.000 .587 .051 .070 .111 .268 .258 .393 .701 .924 .541 .042 .083 .133 .206 .236 .369 .623 .790 .456 .027 .104 .165 .160 .216 .336 .527 .639 .358 .014 .125 .198 .132 .202 .295 .417 .476 .252 .003 .152 .232 246 14.469 3846 8.781 8.66603 .023149 .341358 -.038314 Correlation Surface at 346 3846 .001 .004 .193 .418 .157 .023 .060 .301 .059 .003 .002 .249 .626 .351 .096 .082 .291 .076 .020 .002 .343 .858 .629 .231 .093 .212 .075 .079 .032 .410 .986 .885 .388 .089 .109 .059 .193 .082 .378 .922 1.000 .514 .079 .032 .036 .324 .117 .258 .687 .943 .562 .070 .003 .017 .399 .115 .129 .418 .779 .536 .070 .001 .009 .395 .089 .051 .227 .616 .480 .082 .004 .007 .334 .064 .024 .138 .513 .426 .098 .004 .008 r_peak,r_snr = .1412231 8.78821 Correlation Surface of oversamples image at 346 3846 .012 .005 .220 .618 .706 .466 .234 .113 .051 .001 .018 .268 .690 .800 .581 .350 .211 .116 .003 .042 .320 .755 .890 .703 .487 .341 .211 .023 .076 .363 .797 .961 .818 .634 .493 .330 .063 .113 .384 .802 1.000 .913 .772 .648 .459 .113 .143 .373 .755 .987 .966 .880 .782 .580 .160 .154 .327 .655 .911 .962 .937 .875 .673 .190 .145 .255 .520 .788 .903 .938 .912 .724 .206 .126 .181 .386 .652 .818 .901 .908 .743 346 -1.875 3846 -.219 8.78821 .120169 .956590 -.258392 Correlation Surface at 446 3846 .054 .447 .001 .046 .074 .312 .029 .418 .654 .074 .594 .009 .000 .273 .342 .164 1.095 1.190 .076 .520 .000 .019 .577 .387 .284 1.793 1.884 .065 .300 .033 .044 .869 .444 .281 2.201 2.564 .053 .104 .188 .034 1.000 .480 .179 2.205 3.007 .047 .014 .424 .006 .916 .466 .082 1.939 3.073 .038 .000 .627 .010 .667 .386 .036 1.568 2.742 .016 .007 .716 .099 .382 .267 .021 1.200 2.162 .000 .009 .679 .248 .163 .165 .016 .859 1.501 r_peak,r_snr = 7.55118E-02 2.88085 Correlation Surface of oversamples image at 446 3846 .018 .017 .168 .512 .673 .472 .164 .002 .141 .006 .013 .198 .616 .785 .522 .174 .002 .142 .001 .008 .220 .712 .901 .591 .204 .007 .112 .002 .003 .217 .765 .989 .658 .244 .019 .071 .018 .001 .177 .735 1.000 .686 .272 .035 .039 .052 .013 .116 .641 .942 .678 .289 .053 .016 .092 .038 .066 .530 .863 .669 .317 .083 .002 .135 .073 .027 .407 .756 .642 .343 .120 .003 .204 .139 .001 .256 .586 .550 .324 .136 .011 446 4.438 3846 4.281 2.88085 .021895 1.577993 -.056975 Correlation Surface at 546 3846 .385 .600 .721 .784 .851 .721 .498 .411 .323 .373 .606 .769 .859 .911 .767 .516 .418 .331 .359 .589 .792 .928 .962 .805 .543 .431 .340 .349 .559 .783 .970 .993 .825 .572 .451 .354 .345 .530 .753 .977 1.000 .827 .598 .475 .373 .348 .510 .713 .946 .983 .819 .618 .500 .394 .359 .503 .676 .890 .949 .808 .630 .519 .407 .375 .512 .653 .829 .911 .802 .635 .526 .407 .396 .536 .648 .781 .882 .810 .640 .525 .398 r_peak,r_snr = .4847371 3.01956 Correlation Surface of oversamples image at 546 3846 .655 .773 .861 .915 .943 .935 .867 .737 .602 .649 .779 .880 .942 .968 .953 .878 .747 .614 .639 .777 .890 .961 .987 .965 .885 .755 .626 .626 .769 .891 .970 .998 .972 .889 .761 .637 .612 .756 .882 .968 1.000 .973 .889 .765 .647 .597 .737 .863 .954 .992 .967 .886 .766 .655 .583 .715 .837 .931 .975 .956 .879 .767 .662 .573 .694 .808 .903 .954 .944 .875 .769 .671 .567 .675 .779 .871 .929 .930 .871 .773 .680 546 -.438 3846 -1.125 3.01956 .018798 1.008905 -.024219 Correlation Surface at 646 3846 .747 .827 .860 .943 .831 .719 .574 .440 .360 .746 .839 .880 .962 .873 .791 .608 .438 .348 .749 .844 .892 .983 .925 .869 .639 .433 .336 .756 .846 .895 .993 .972 .935 .672 .434 .329 .768 .852 .887 .984 1.000 .976 .709 .453 .336 .779 .858 .867 .951 .998 .986 .747 .492 .356 .779 .860 .836 .901 .966 .968 .782 .552 .388 .763 .848 .802 .849 .919 .934 .809 .621 .426 .734 .824 .772 .808 .876 .900 .826 .681 .465 r_peak,r_snr = .4371119 1.85366 Correlation Surface of oversamples image at 646 3846 .838 .855 .910 .967 .968 .905 .835 .785 .713 .855 .868 .917 .975 .982 .928 .866 .820 .744 .868 .878 .918 .977 .993 .949 .897 .853 .771 .877 .882 .915 .974 1.000 .968 .924 .881 .795 .880 .881 .905 .963 1.000 .983 .947 .903 .813 .877 .873 .890 .946 .992 .989 .962 .917 .824 .871 .861 .870 .921 .976 .987 .967 .920 .825 .862 .848 .850 .896 .954 .979 .966 .916 .821 .851 .834 .831 .870 .930 .965 .958 .906 .811 646 2.344 3846 -6.531 1.85366 2.792698 4.021124 -3.099238 Correlation Surface at 746 3846 .113 .210 .313 .639 .943 .666 .274 .134 .130 .122 .221 .319 .651 .985 .698 .282 .137 .128 .127 .220 .322 .651 1.000 .719 .290 .141 .120 .126 .209 .319 .631 .973 .720 .299 .145 .107 .120 .194 .312 .594 .908 .703 .308 .149 .092 .112 .179 .303 .549 .824 .675 .310 .150 .081 .105 .169 .295 .507 .748 .647 .307 .150 .076 r_peak,r_snr = .5652165 4.99666 Correlation Surface of oversamples image at 746 3846 .217 .372 .596 .841 .984 .932 .720 .469 .277 .213 .363 .586 .836 .989 .946 .734 .477 .279 .209 .356 .578 .833 .996 .960 .747 .484 .282 .203 .345 .565 .826 1.000 .971 .757 .490 .285 .197 .334 .551 .816 1.000 .978 .764 .494 .287 .191 .324 .538 .805 .998 .982 .769 .498 .291 .185 .314 .524 .791 .990 .979 .769 .499 .294 .180 .304 .507 .769 .971 .968 .762 .496 .295 .174 .295 .488 .742 .944 .948 .749 .490 .295 746 .219 3846 -13.750 4.99666 .001764 .184053 -.003563 Correlation Surface at 846 3846 .003 .019 .003 .124 .675 .457 .044 .002 .010 .016 .003 .000 .144 .738 .472 .065 .004 .005 .085 .003 .010 .178 .838 .478 .077 .002 .000 .169 .019 .035 .222 .943 .461 .070 .000 .004 .212 .038 .067 .272 1.000 .402 .046 .001 .020 .200 .045 .092 .320 .949 .293 .018 .004 .038 .159 .043 .101 .362 .781 .163 .001 .004 .047 .124 .040 .106 .401 .564 .062 .003 .002 .047 .113 .050 .125 .441 .378 .012 .013 .000 .044 r_peak,r_snr = .1531442 6.55518 Correlation Surface of oversamples image at 846 3846 .052 .188 .474 .737 .752 .556 .313 .158 .094 .064 .204 .508 .804 .832 .622 .357 .179 .097 .074 .216 .538 .865 .902 .674 .384 .188 .090 .083 .229 .568 .922 .965 .711 .398 .187 .080 .090 .239 .590 .961 1.000 .720 .389 .174 .066 .090 .238 .587 .956 .985 .687 .352 .147 .049 .085 .229 .561 .908 .922 .620 .297 .115 .033 .084 .224 .531 .843 .840 .543 .243 .088 .024 .085 .220 .493 .758 .737 .457 .190 .065 .018 846 .281 3846 9.156 6.55518 .016309 1.502158 .108976 Correlation Surface at 946 3846 .011 .072 .036 .088 .262 .124 .002 .139 .066 .000 .064 .085 .191 .421 .221 .000 .097 .030 .006 .076 .150 .347 .662 .350 .012 .040 .001 .006 .105 .200 .502 .895 .458 .042 .004 .017 .000 .145 .219 .583 1.000 .497 .078 .005 .095 .014 .188 .217 .560 .927 .452 .096 .031 .226 .066 .232 .212 .463 .721 .347 .089 .056 .375 .139 .277 .215 .344 .478 .230 .064 .066 .509 .193 .321 .222 .241 .277 .138 .036 .058 .588 r_peak,r_snr = .1481081 8.47622 Correlation Surface of oversamples image at 946 3846 .150 .248 .455 .662 .665 .410 .130 .014 .002 .177 .289 .529 .770 .783 .495 .165 .020 .001 .204 .328 .594 .863 .883 .571 .197 .026 .000 .232 .363 .647 .933 .959 .632 .225 .032 .000 .255 .386 .676 .968 1.000 .672 .246 .036 .000 .271 .395 .674 .957 .994 .681 .253 .038 .000 .281 .391 .647 .905 .946 .659 .246 .035 .000 .290 .384 .609 .836 .876 .621 .235 .032 .000 .292 .369 .559 .749 .786 .568 .216 .028 .000 946 -5.188 3846 -5.813 8.47622 .019884 .516869 .012418 Correlation Surface at 1046 3846 .002 .030 .000 .225 .630 .548 .225 .191 .386 .001 .034 .001 .294 .762 .684 .256 .160 .368 .001 .025 .002 .366 .885 .832 .330 .154 .355 .002 .013 .003 .409 .971 .930 .415 .158 .331 .006 .007 .000 .399 1.000 .936 .464 .155 .287 .013 .005 .004 .339 .965 .848 .447 .140 .231 .020 .007 .031 .255 .877 .711 .380 .117 .179 .024 .009 .077 .176 .762 .575 .299 .090 .145 .023 .008 .106 .126 .652 .478 .236 .068 .126 r_peak,r_snr = .2212847 6.15095 Correlation Surface of oversamples image at 1046 3846 .244 .472 .709 .875 .842 .611 .352 .187 .115 .241 .472 .725 .920 .917 .683 .397 .207 .123 .220 .449 .716 .941 .969 .733 .424 .215 .125 .185 .407 .687 .941 .999 .761 .431 .211 .120 .138 .348 .637 .915 1.000 .760 .415 .190 .105 .087 .276 .569 .863 .967 .725 .372 .154 .081 .042 .205 .494 .795 .907 .663 .311 .111 .053 .014 .148 .431 .733 .842 .593 .247 .071 .030 .001 .102 .375 .668 .766 .513 .185 .038 .012 1046 .375 3846 7.688 6.15095 .013801 1.501887 -.013703 Correlation Surface at 1146 3846 .019 .005 .066 .418 .391 .017 .008 .034 .019 .031 .014 .090 .495 .566 .043 .017 .054 .027 .052 .043 .138 .573 .750 .093 .030 .075 .035 .077 .096 .208 .638 .911 .165 .044 .088 .041 .097 .161 .288 .672 1.000 .243 .051 .086 .043 .103 .216 .364 .668 .976 .298 .052 .069 .044 .098 .245 .421 .631 .844 .308 .047 .044 .041 .084 .244 .443 .575 .672 .277 .043 .021 .034 .066 .213 .428 .530 .530 .232 .041 .007 .024 r_peak,r_snr = .2402402 10.01229 Correlation Surface of oversamples image at 1146 3846 .132 .307 .589 .829 .750 .404 .134 .040 .025 .152 .327 .615 .881 .838 .487 .177 .056 .031 .179 .349 .634 .919 .915 .568 .222 .071 .035 .210 .371 .644 .937 .971 .639 .265 .085 .038 .247 .394 .645 .933 1.000 .694 .302 .096 .039 .288 .417 .640 .909 .998 .725 .328 .104 .038 .331 .442 .633 .870 .965 .726 .341 .107 .035 .381 .475 .633 .830 .913 .706 .343 .110 .034 .436 .516 .641 .790 .848 .666 .336 .111 .033 1146 -.156 3846 -.938 10.01229 .005751 .412183 -.019585 Correlation Surface at 1246 3846 .071 .009 .023 .139 .161 .285 .179 .050 .085 .091 .002 .009 .206 .304 .352 .203 .059 .120 .094 .000 .001 .276 .547 .453 .244 .087 .167 .073 .001 .003 .299 .824 .571 .297 .142 .227 .039 .005 .019 .252 1.000 .669 .350 .227 .288 .015 .011 .046 .162 .979 .703 .380 .324 .333 .005 .012 .069 .075 .779 .640 .367 .395 .341 .004 .006 .075 .021 .509 .489 .312 .403 .301 .011 .000 .056 .002 .276 .306 .228 .337 .222 r_peak,r_snr = .1735238 9.67139 Correlation Surface of oversamples image at 1246 3846 1.020 .670 .637 1.436 1.020 .743 .764 1.640 .967 .794 .893 1.838 .882 .823 1.020 2.015 .810 .864 1.173 2.204 .717 .876 1.299 2.336 .552 .784 1.289 2.270 .385 .644 1.181 2.050 .325 .606 1.171 1.942 1246 2.906 3846 -8.250 9.67139 .012129 .311630 -.029344 Correlation Surface at 1446 3846 .168 .001 .005 .044 .072 .067 .098 .033 .493 .272 .000 .008 .116 .216 .021 .068 .057 .465 .357 .000 .006 .240 .477 .000 .035 .093 .447 .413 .001 .002 .370 .789 .016 .010 .140 .461 .453 .006 .000 .417 1.000 .059 .000 .198 .512 .509 .006 .001 .336 .998 .116 .007 .263 .584 .603 .001 .001 .192 .824 .180 .035 .330 .636 .717 .006 .000 .076 .610 .245 .100 .398 .632 .782 .046 .011 .024 .450 .304 .215 .455 .546 r_peak,r_snr = .1107379 5.21617 Correlation Surface of oversamples image at 1446 3846 .003 .090 .351 .680 .712 .372 .084 .006 .006 .004 .113 .420 .795 .834 .453 .120 .017 .017 .006 .133 .474 .882 .932 .528 .160 .035 .033 .007 .147 .504 .925 .990 .583 .198 .056 .053 .008 .149 .500 .918 1.000 .614 .229 .080 .077 .008 .143 .472 .875 .985 .638 .263 .110 .109 .008 .131 .423 .800 .944 .652 .299 .149 .150 .007 .108 .348 .684 .858 .632 .317 .183 .194 .005 .080 .262 .544 .736 .582 .320 .215 .241 1446 3.813 3846 -2.219 5.21617 .012332 .695350 -.041328 Correlation Surface at 1546 3846 .603 .587 .612 .624 .784 .853 .659 .518 .455 .605 .608 .624 .668 .845 .865 .616 .470 .431 .596 .612 .624 .709 .912 .884 .584 .425 .404 .579 .601 .613 .742 .971 .911 .570 .396 .379 .559 .583 .594 .756 1.000 .938 .577 .387 .361 .541 .565 .568 .743 .987 .953 .601 .398 .354 .529 .548 .538 .700 .930 .945 .631 .424 .359 .524 .535 .507 .639 .844 .908 .654 .455 .375 .527 .526 .480 .577 .753 .848 .663 .482 .397 r_peak,r_snr = .5210698 2.14542 Correlation Surface of oversamples image at 1546 3846 .684 .726 .797 .888 .942 .886 .732 .563 .426 .682 .737 .816 .911 .964 .904 .743 .566 .424 .676 .741 .829 .928 .983 .923 .758 .575 .428 .665 .737 .833 .936 .996 .939 .774 .588 .437 .650 .726 .827 .934 1.000 .952 .790 .603 .451 .634 .711 .815 .926 .999 .961 .807 .623 .470 .616 .690 .795 .909 .990 .964 .821 .643 .493 .594 .662 .765 .881 .967 .953 .824 .658 .513 .569 .630 .728 .844 .935 .930 .818 .666 .530 1546 -.438 3846 -2.188 2.14542 .007047 .251322 -.009347 Correlation Surface at 1646 3846 .235 .198 .013 .031 .068 .027 .045 .130 .000 .268 .205 .005 .059 .239 .103 .091 .186 .001 .202 .123 .000 .126 .518 .209 .137 .234 .007 .094 .031 .000 .240 .820 .312 .169 .266 .038 .020 .000 .000 .380 1.000 .377 .184 .283 .105 .000 .025 .001 .491 .973 .383 .196 .292 .182 .000 .040 .010 .520 .769 .335 .213 .289 .211 .009 .017 .037 .456 .498 .263 .251 .285 .164 .071 .000 .084 .353 .265 .189 .306 .279 .079 r_peak,r_snr = .1574231 11.91927 Correlation Surface of oversamples image at 1646 3846 .000 .010 .120 .365 .499 .354 .145 .053 .044 .000 .023 .186 .510 .669 .466 .191 .069 .054 .001 .042 .263 .657 .825 .562 .227 .080 .061 .002 .067 .343 .785 .941 .624 .247 .084 .063 .004 .095 .417 .875 1.000 .645 .252 .085 .064 .007 .123 .472 .912 .990 .621 .240 .081 .064 .010 .144 .491 .878 .904 .548 .208 .071 .062 .012 .152 .471 .779 .756 .440 .163 .057 .058 .015 .154 .424 .643 .584 .324 .119 .046 .058 1646 -.156 3846 -.219 11.91928 .010296 .334208 .018459 Correlation Surface at 1746 3846 .007 .044 .021 .705 .563 .142 .098 .168 .106 .024 .057 .016 .699 .664 .231 .133 .165 .139 .043 .064 .013 .680 .785 .344 .149 .113 .118 .050 .063 .012 .669 .912 .476 .149 .052 .064 .042 .057 .012 .656 1.000 .602 .146 .014 .017 .027 .051 .011 .616 .994 .679 .143 .001 .000 .014 .044 .009 .540 .870 .685 .142 .000 .003 .005 .031 .009 .448 .667 .625 .147 .000 .005 .000 .013 .015 .374 .462 .519 .156 .001 .001 r_peak,r_snr = .2013417 9.63047 Correlation Surface of oversamples image at 1746 3846 .001 .048 .308 .660 .781 .611 .345 .158 .071 .002 .048 .319 .700 .860 .701 .405 .177 .065 .001 .054 .339 .742 .932 .786 .466 .200 .062 .000 .064 .362 .775 .986 .853 .519 .223 .063 .000 .075 .376 .782 1.000 .884 .554 .240 .063 .000 .085 .382 .763 .975 .880 .569 .254 .066 .001 .098 .385 .732 .927 .855 .577 .273 .075 .003 .107 .378 .682 .854 .805 .573 .291 .087 .004 .106 .350 .604 .747 .721 .543 .297 .096 1746 .063 3846 1.438 9.63047 .028772 1.059467 -.117502 Correlation Surface at 1846 3846 .544 .761 .935 .908 .870 .720 .542 .426 .313 .514 .783 .973 .931 .919 .756 .559 .421 .296 .513 .811 .992 .944 .963 .791 .583 .419 .278 .540 .835 .981 .942 .993 .820 .606 .419 .261 .587 .841 .937 .922 1.000 .842 .623 .419 .245 .639 .827 .874 .890 .980 .853 .633 .417 .230 .680 .798 .813 .856 .935 .853 .638 .410 .217 .698 .765 .768 .826 .872 .845 .642 .405 .207 .692 .736 .741 .799 .806 .828 .647 .405 .203 r_peak,r_snr = .491952 2.27177 Correlation Surface of oversamples image at 1846 3846 .894 .879 .886 .921 .923 .867 .780 .684 .595 .907 .890 .902 .945 .950 .887 .791 .692 .604 .915 .898 .915 .967 .974 .903 .799 .697 .611 .917 .900 .924 .984 .992 .914 .802 .699 .616 .908 .895 .927 .993 1.000 .916 .799 .698 .617 .891 .884 .925 .995 1.000 .912 .793 .693 .615 .867 .868 .918 .993 .995 .905 .786 .688 .613 .837 .847 .907 .984 .986 .896 .780 .683 .609 .804 .824 .891 .968 .968 .882 .770 .676 .603 1846 1.781 3846 8.250 2.27177 .021623 .868074 -.087434 Correlation Surface at 1946 3846 .346 .427 .407 .428 .591 .621 .424 .319 .360 .293 .372 .412 .492 .690 .693 .444 .352 .412 .259 .322 .417 .571 .818 .776 .475 .387 .461 .249 .289 .413 .641 .936 .839 .507 .419 .489 .256 .277 .395 .667 1.000 .856 .536 .446 .488 .272 .281 .367 .638 .981 .821 .556 .462 .460 .289 .298 .336 .567 .897 .754 .564 .466 .413 .309 .322 .315 .487 .789 .683 .562 .466 .367 .333 .351 .317 .432 .700 .628 .556 .470 .340 r_peak,r_snr = .372489 2.85654 Correlation Surface of oversamples image at 1946 3846 .490 .556 .678 .807 .842 .738 .558 .420 .369 .501 .583 .729 .876 .904 .776 .579 .438 .387 .505 .602 .772 .935 .955 .806 .598 .455 .405 .502 .613 .803 .978 .990 .825 .612 .471 .423 .488 .611 .816 .998 1.000 .828 .618 .484 .438 .465 .594 .807 .987 .980 .807 .610 .489 .446 .437 .569 .781 .954 .937 .771 .593 .488 .451 .412 .541 .749 .909 .885 .728 .572 .485 .454 .387 .510 .707 .854 .823 .679 .546 .478 .452 1946 .250 3846 -1.969 2.85654 .008431 .215442 .002002 Correlation Surface at 2046 3846 .153 .184 .372 .665 .903 .749 .441 .307 .198 .187 .212 .387 .658 .915 .750 .400 .258 .166 .219 .235 .393 .656 .941 .762 .389 .234 .147 .236 .242 .388 .667 .976 .772 .402 .235 .141 .228 .235 .379 .689 1.000 .765 .424 .256 .147 .206 .225 .378 .715 .994 .725 .439 .284 .161 .185 .221 .394 .734 .950 .657 .435 .307 .180 .173 .232 .427 .740 .880 .578 .410 .316 .202 .176 .256 .470 .731 .806 .509 .371 .309 .226 r_peak,r_snr = .4739258 4.14691 Correlation Surface of oversamples image at 2046 3846 .362 .459 .622 .829 .966 .934 .751 .531 .370 .357 .454 .623 .839 .980 .947 .760 .535 .371 .350 .450 .626 .849 .992 .955 .765 .541 .377 .344 .449 .631 .859 .999 .955 .763 .545 .387 .340 .451 .640 .868 1.000 .946 .752 .546 .400 .337 .455 .649 .873 .992 .925 .732 .539 .410 .338 .463 .659 .874 .975 .894 .703 .528 .417 .347 .478 .674 .875 .956 .861 .673 .516 .425 .362 .498 .690 .873 .930 .822 .639 .498 .426 2046 .125 3846 1.719 4.14691 .005489 .772327 .038606 At line = 4200 Reading in data.... Correlation Surface at 146 4246 .012 .015 .257 .703 .470 .071 .010 .092 .123 .008 .024 .285 .805 .610 .082 .019 .108 .127 .008 .030 .295 .899 .775 .107 .022 .107 .122 .010 .027 .283 .956 .921 .143 .017 .092 .115 .015 .017 .252 .943 1.000 .179 .009 .076 .114 .023 .005 .208 .859 .980 .201 .004 .067 .124 .032 .000 .160 .725 .875 .195 .004 .069 .140 .039 .002 .114 .574 .727 .163 .008 .080 .155 .044 .007 .079 .443 .582 .120 .016 .090 .158 r_peak,r_snr = .2680682 10.37845 Correlation Surface of oversamples image at 146 4246 .116 .279 .541 .810 .840 .571 .258 .086 .021 .112 .266 .528 .830 .910 .657 .318 .114 .030 .103 .246 .504 .831 .962 .738 .384 .147 .041 .092 .224 .473 .815 .995 .810 .451 .184 .054 .080 .200 .436 .781 1.000 .862 .511 .219 .066 .065 .173 .391 .726 .970 .881 .551 .244 .074 .049 .145 .341 .656 .911 .866 .567 .257 .076 .036 .120 .295 .584 .839 .833 .568 .262 .073 .025 .097 .251 .509 .758 .782 .551 .254 .066 146 .563 4246 -4.063 10.37846 .005888 .416289 -.022433 Correlation Surface at 246 4246 .070 .205 .293 .438 .702 .787 .774 .599 .374 .060 .176 .270 .485 .787 .792 .711 .567 .387 .050 .145 .247 .550 .887 .807 .649 .534 .413 .042 .114 .226 .611 .966 .818 .609 .514 .456 .038 .091 .204 .650 1.000 .818 .606 .523 .511 .038 .078 .184 .655 .991 .814 .643 .563 .571 .043 .077 .169 .629 .954 .813 .705 .624 .621 .050 .083 .158 .579 .906 .816 .764 .678 .651 r_peak,r_snr = .3324285 3.68076 Correlation Surface of oversamples image at 246 4246 .239 .398 .640 .852 .897 .834 .792 .774 .738 .232 .402 .664 .894 .943 .865 .803 .764 .721 .225 .402 .678 .924 .977 .891 .812 .762 .716 .217 .398 .682 .939 .997 .907 .821 .767 .723 .209 .388 .674 .936 1.000 .913 .827 .776 .739 .201 .374 .655 .917 .988 .909 .830 .788 .761 .196 .361 .632 .892 .969 .903 .835 .805 .790 .193 .349 .608 .862 .949 .897 .842 .825 .823 .190 .334 .578 .825 .921 .887 .846 .841 .850 246 -1.125 4246 11.250 3.68076 .010064 1.098056 .029598 Correlation Surface at 346 4246 .171 .105 .072 .197 .073 .129 .048 .003 .028 .060 .094 .091 .369 .283 .302 .086 .007 .052 .019 .111 .136 .576 .602 .529 .136 .012 .098 .018 .162 .203 .740 .895 .719 .181 .022 .176 .058 .262 .274 .784 1.000 .771 .203 .043 .286 .196 .413 .321 .695 .871 .664 .190 .079 .404 .462 .588 .337 .555 .620 .463 .147 .133 .502 .767 .714 .330 .426 .367 .257 .090 .201 .552 .959 .713 .310 .340 .184 .113 .037 .275 .552 r_peak,r_snr = .1187747 4.62927 Correlation Surface of oversamples image at 346 4246 6.960 7.878 5.436 1.787 .270 9.222 9.725 6.450 2.121 .288 11.287 11.209 7.194 2.389 .316 13.818 12.992 8.237 2.955 .511 346 .188 4246 10.844 4.62927 .135307 .491798 .004840 Correlation Surface at 446 4246 .000 .170 .099 .202 .499 .022 .054 .063 .426 .000 .171 .102 .185 .622 .059 .070 .024 .284 .000 .142 .065 .205 .778 .123 .072 .004 .145 .000 .103 .021 .254 .928 .207 .066 .000 .052 .005 .072 .001 .307 1.000 .281 .055 .009 .011 .019 .057 .003 .329 .940 .305 .041 .021 .001 .046 .059 .005 .293 .767 .260 .029 .023 .000 .076 .074 .000 .211 .549 .169 .022 .016 .001 .105 .095 .006 .115 .355 .077 .022 .007 .009 r_peak,r_snr = .1527476 11.55415 Correlation Surface of oversamples image at 446 4246 .018 .025 .268 .645 .755 .411 .035 .064 .203 .004 .045 .314 .713 .840 .477 .053 .050 .202 .000 .069 .357 .776 .919 .544 .077 .034 .190 .003 .092 .391 .820 .978 .601 .104 .021 .171 .011 .109 .407 .835 1.000 .633 .126 .011 .153 .018 .117 .402 .817 .982 .636 .141 .006 .135 .025 .117 .381 .773 .935 .619 .150 .002 .114 .027 .108 .342 .701 .857 .577 .149 .000 .095 .021 .084 .280 .595 .740 .501 .131 .000 .085 446 -.094 4246 1.469 11.55415 .007499 .880662 -.007169 Correlation Surface at 546 4246 .156 .222 .351 .650 .797 .538 .234 .197 .223 .131 .214 .374 .739 .869 .561 .229 .203 .235 .106 .210 .401 .827 .940 .575 .231 .206 .232 .086 .211 .434 .897 .990 .574 .243 .207 .218 .077 .220 .475 .932 1.000 .558 .262 .211 .199 .080 .236 .526 .927 .961 .531 .287 .221 .187 .094 .253 .581 .891 .876 .496 .309 .239 .184 .116 .264 .631 .840 .768 .454 .321 .258 .188 .139 .266 .663 .791 .667 .415 .320 .273 .199 r_peak,r_snr = .3816842 5.20695 Correlation Surface of oversamples image at 546 4246 .292 .417 .588 .787 .922 .893 .708 .486 .322 .304 .439 .618 .822 .953 .911 .714 .491 .334 .319 .464 .650 .854 .978 .924 .718 .495 .346 .336 .491 .681 .880 .995 .930 .717 .496 .357 .352 .517 .708 .899 1.000 .926 .710 .493 .365 .366 .541 .732 .909 .994 .913 .698 .487 .369 .381 .567 .756 .915 .982 .896 .686 .482 .374 .394 .592 .777 .916 .963 .873 .671 .476 .376 .402 .608 .789 .905 .931 .838 .648 .465 .373 546 -.438 4246 -1.625 5.20695 .007614 .575286 .024088 Correlation Surface at 646 4246 .405 .469 .561 .653 .810 .838 .752 .685 .619 .398 .480 .584 .704 .880 .878 .757 .698 .625 .416 .523 .631 .767 .944 .899 .752 .719 .657 .456 .592 .691 .830 .987 .890 .734 .739 .703 .505 .666 .745 .877 1.000 .851 .700 .749 .744 .545 .720 .775 .900 .986 .796 .660 .746 .766 .561 .734 .775 .900 .955 .744 .625 .735 .764 .551 .711 .749 .885 .927 .708 .604 .722 .746 .522 .666 .708 .860 .911 .698 .597 .711 .725 r_peak,r_snr = .4767486 1.90354 Correlation Surface of oversamples image at 646 4246 .667 .712 .778 .869 .946 .946 .853 .743 .691 .701 .747 .816 .904 .969 .952 .846 .734 .688 .730 .777 .849 .934 .985 .949 .833 .721 .682 .751 .802 .877 .957 .994 .941 .816 .706 .676 .768 .823 .902 .978 1.000 .931 .799 .694 .672 .776 .837 .920 .992 .999 .917 .781 .681 .668 .771 .837 .926 .993 .988 .895 .759 .665 .661 .753 .827 .920 .984 .969 .870 .735 .648 .651 .737 .818 .915 .977 .956 .853 .721 .639 .648 646 -.188 4246 -.219 1.90354 .053913 1.522266 .255454 Correlation Surface at 746 4246 .231 .195 .059 .153 .263 .219 .216 .000 .040 .270 .208 .176 .430 .548 .281 .171 .001 .049 .268 .190 .264 .668 .825 .330 .104 .004 .060 .216 .143 .252 .723 .985 .368 .054 .007 .085 .138 .077 .160 .605 1.000 .407 .036 .009 .137 .061 .025 .063 .405 .873 .445 .039 .008 .203 .010 .002 .014 .230 .666 .425 .038 .010 .254 .002 .002 .002 .131 .485 .329 .020 .018 .276 .031 .018 .001 .085 .369 .216 .003 .026 .267 r_peak,r_snr = 9.37458E-02 8.22261 Correlation Surface of oversamples image at 746 4246 .279 .320 .478 .659 .719 .567 .330 .157 .099 .298 .357 .535 .749 .836 .659 .361 .141 .064 .300 .365 .550 .795 .921 .747 .406 .141 .045 .287 .347 .528 .798 .975 .831 .471 .162 .039 .265 .311 .478 .766 1.000 .908 .554 .202 .042 .231 .260 .407 .699 .983 .960 .639 .256 .051 .192 .205 .329 .609 .928 .981 .718 .320 .068 .160 .160 .264 .524 .860 .989 .800 .398 .095 .131 .124 .209 .442 .779 .975 .868 .478 .129 746 1.688 4246 -3.688 8.22261 .088287 2.803252 -.363856 Correlation Surface at 846 4246 .133 .045 .038 .566 .851 .516 .097 .072 .151 .144 .055 .049 .636 .908 .544 .145 .141 .267 .142 .065 .053 .688 .961 .522 .170 .222 .400 .127 .069 .049 .706 .998 .463 .163 .288 .507 .100 .064 .041 .673 1.000 .395 .134 .326 .558 .071 .051 .033 .594 .962 .348 .108 .338 .559 .047 .038 .025 .485 .871 .319 .095 .339 .539 .035 .027 .021 .384 .751 .300 .092 .336 .524 .033 .019 .023 .315 .631 .281 .089 .330 .529 r_peak,r_snr = .2340072 7.66766 Correlation Surface of oversamples image at 846 4246 .049 .250 .576 .855 .885 .655 .349 .126 .031 .057 .269 .608 .896 .921 .679 .365 .137 .039 .064 .286 .636 .934 .958 .706 .381 .149 .049 .070 .297 .651 .960 .987 .726 .392 .155 .057 .072 .295 .648 .964 1.000 .733 .388 .151 .059 .070 .284 .627 .948 .997 .728 .374 .140 .057 .067 .267 .595 .917 .982 .717 .357 .126 .053 .063 .246 .554 .874 .957 .701 .337 .111 .047 .058 .221 .506 .818 .919 .676 .314 .095 .040 846 -.219 4246 5.250 7.66766 .007516 3.276484 .031820 Correlation Surface at 1046 4246 .282 .413 .390 .606 .807 .700 .734 .768 .412 .352 .537 .452 .630 .864 .723 .701 .725 .415 .378 .597 .470 .657 .919 .720 .679 .690 .397 .360 .580 .457 .695 .972 .704 .680 .670 .365 .309 .507 .429 .741 1.000 .685 .704 .665 .328 .250 .415 .403 .780 .976 .669 .739 .665 .298 .200 .338 .387 .793 .898 .656 .756 .658 .281 .164 .282 .379 .763 .782 .638 .725 .626 .276 .137 .240 .368 .683 .654 .610 .636 .556 .276 r_peak,r_snr = .2631667 3.86735 Correlation Surface of oversamples image at 1046 4246 .571 .581 .661 .854 .882 .624 .352 .242 .273 .489 .534 .649 .871 .917 .661 .380 .262 .290 .412 .486 .634 .883 .946 .695 .406 .279 .301 .354 .449 .626 .898 .977 .731 .435 .296 .310 .311 .423 .621 .910 1.000 .760 .458 .308 .312 .271 .392 .601 .897 .992 .762 .461 .303 .295 .235 .358 .568 .857 .950 .735 .444 .283 .262 .223 .350 .559 .839 .928 .722 .440 .273 .240 1046 -3.625 4246 8.813 3.86735 .019974 1.553374 .094544 Correlation Surface at 1246 4246 .365 .274 .166 .274 .480 .342 .114 .103 .259 .415 .283 .143 .314 .616 .421 .117 .125 .268 .448 .298 .126 .347 .776 .532 .140 .170 .296 .439 .300 .111 .354 .921 .657 .187 .237 .334 .376 .276 .096 .326 1.000 .760 .257 .318 .374 .290 .236 .083 .271 .977 .812 .348 .408 .406 .216 .198 .074 .208 .856 .801 .450 .498 .416 .176 .174 .071 .151 .686 .740 .542 .572 .397 .174 .167 .073 .111 .524 .656 .607 .609 .354 r_peak,r_snr = .2380547 3.24684 Correlation Surface of oversamples image at 1246 4246 .209 .383 .640 .821 .767 .476 .185 .068 .060 .192 .377 .674 .899 .856 .553 .238 .102 .088 .174 .362 .691 .959 .934 .631 .303 .150 .127 .153 .334 .679 .985 .986 .700 .375 .209 .176 .125 .290 .635 .968 1.000 .748 .443 .275 .230 .095 .238 .566 .912 .980 .774 .506 .345 .290 .070 .189 .490 .836 .942 .791 .569 .424 .359 .049 .144 .409 .744 .887 .798 .629 .505 .432 .028 .098 .319 .630 .803 .777 .666 .571 .491 1246 .281 4246 2.250 3.24684 .010451 .565512 -.045341 Correlation Surface at 1346 4246 .036 .027 .007 .190 .648 .671 .417 .127 .031 .043 .037 .008 .215 .757 .730 .433 .141 .036 .044 .045 .010 .252 .886 .796 .464 .167 .046 .036 .043 .015 .290 .981 .838 .489 .194 .060 .021 .029 .023 .313 1.000 .824 .478 .207 .076 .007 .011 .035 .318 .934 .754 .430 .200 .090 .000 .001 .051 .305 .803 .656 .363 .175 .099 .001 .003 .066 .278 .645 .565 .307 .144 .104 .003 .012 .075 .245 .510 .517 .285 .121 .110 r_peak,r_snr = .2734332 7.84057 Correlation Surface of oversamples image at 1346 4246 .046 .193 .477 .760 .846 .757 .574 .365 .205 .050 .209 .519 .827 .912 .798 .593 .375 .214 .055 .223 .554 .880 .963 .827 .601 .377 .218 .061 .237 .579 .915 .994 .840 .599 .372 .218 .068 .247 .592 .927 1.000 .833 .582 .356 .210 .074 .251 .586 .911 .975 .802 .548 .326 .191 .079 .250 .566 .870 .925 .751 .500 .287 .164 .088 .250 .544 .822 .868 .698 .452 .249 .139 .097 .251 .521 .769 .807 .646 .409 .215 .115 1346 .375 4246 9.906 7.84057 .006161 .513134 .018920 Correlation Surface at 1546 4246 .507 .608 .642 .729 .787 .651 .546 .473 .438 .519 .638 .631 .727 .864 .711 .556 .466 .438 .543 .670 .635 .750 .942 .777 .584 .482 .453 .564 .693 .661 .794 .997 .831 .631 .523 .484 .566 .697 .697 .833 1.000 .849 .686 .581 .525 .542 .682 .722 .836 .942 .822 .733 .640 .563 .509 .659 .725 .792 .840 .762 .758 .681 .588 .483 .636 .702 .713 .728 .696 .754 .691 .596 .474 .620 .662 .622 .635 .645 .731 .675 .589 r_peak,r_snr = .4160562 2.21477 Correlation Surface of oversamples image at 1546 4246 .539 .569 .668 .803 .887 .865 .762 .637 .531 .542 .572 .680 .834 .933 .911 .798 .660 .546 .548 .579 .694 .860 .969 .947 .828 .685 .567 .557 .590 .709 .881 .992 .967 .848 .708 .592 .569 .604 .725 .894 1.000 .973 .858 .729 .619 .582 .621 .737 .897 .992 .962 .857 .745 .647 .594 .634 .742 .883 .964 .932 .842 .752 .673 .604 .644 .737 .856 .918 .886 .815 .752 .693 .616 .652 .728 .823 .867 .836 .784 .747 .709 1546 .156 4246 2.250 2.21477 .013531 .273908 .013606 Correlation Surface at 1646 4246 .508 .179 .021 .111 .323 .330 .165 .032 .001 .554 .183 .011 .160 .436 .468 .250 .019 .026 .559 .173 .011 .264 .635 .634 .316 .018 .084 .541 .148 .017 .407 .863 .782 .344 .028 .097 .507 .117 .033 .533 1.000 .854 .341 .060 .051 .450 .090 .061 .565 .943 .824 .332 .128 .005 .358 .065 .093 .461 .694 .685 .321 .224 .010 .244 .040 .112 .286 .381 .489 .302 .307 .059 .136 .015 .094 .126 .144 .301 .273 .332 .107 r_peak,r_snr = .1337511 5.59665 Correlation Surface of oversamples image at 1646 4246 .008 .057 .260 .545 .678 .690 .714 .710 .482 .008 .078 .337 .670 .803 .777 .755 .721 .498 .010 .103 .418 .793 .919 .852 .780 .710 .497 .012 .131 .491 .889 .999 .895 .778 .675 .475 .013 .147 .526 .916 1.000 .874 .731 .607 .428 .014 .154 .521 .874 .929 .800 .652 .523 .371 .019 .164 .502 .803 .831 .713 .577 .454 .327 .025 .168 .460 .697 .703 .608 .497 .390 .287 .023 .148 .369 .533 .525 .460 .387 .306 .229 1646 -4.094 4246 9.281 5.59665 .055694 .558424 .046012 Correlation Surface at 1746 4246 .407 .227 .140 .153 .140 .147 .108 .531 .575 .390 .304 .268 .350 .342 .324 .123 .341 .367 .337 .373 .402 .564 .619 .527 .125 .199 .231 .279 .400 .483 .704 .876 .663 .119 .130 .177 .231 .363 .470 .722 1.000 .669 .115 .121 .187 .205 .278 .378 .636 .924 .548 .111 .153 .240 .204 .188 .264 .511 .713 .376 .109 .211 .309 .218 .115 .168 .397 .488 .233 .111 .270 .364 .231 .062 .102 .307 .318 .146 .118 .299 .378 r_peak,r_snr = .1558773 4.43794 Correlation Surface of oversamples image at 1746 4246 .222 .405 1.159 2.630 4.000 .280 .354 .898 2.090 3.359 .350 .304 .660 1.590 2.754 .446 .274 .482 1.194 2.237 .553 .252 .353 .898 1.825 1746 8.781 4246 .156 4.43794 .040685 .367726 .011573 Correlation Surface at 1846 4246 .262 .318 .377 .568 .833 .765 .545 .496 .319 .244 .289 .387 .641 .906 .795 .557 .496 .292 .230 .256 .401 .707 .962 .830 .559 .469 .265 .222 .223 .414 .759 .994 .862 .546 .421 .242 .220 .192 .421 .794 1.000 .880 .523 .366 .223 .215 .164 .416 .813 .991 .874 .493 .317 .208 .203 .141 .403 .826 .980 .843 .464 .285 .198 .180 .126 .389 .837 .969 .796 .445 .275 .195 .150 .121 .381 .842 .955 .748 .441 .289 .204 r_peak,r_snr = .3416377 3.12043 Correlation Surface of oversamples image at 1846 4246 1.220 2.129 3.099 3.746 3.901 3.655 3.077 2.286 1.549 1.201 2.135 3.138 3.798 3.917 3.602 2.980 2.201 1.501 1.165 2.114 3.145 3.813 3.896 3.510 2.848 2.091 1.440 1.160 2.132 3.199 3.884 3.930 3.473 2.767 2.030 1.424 1846 -.250 4246 3.813 3.12043 .031497 7.737509 .284381 Correlation Surface at 1946 4246 .030 .015 .016 .302 .678 .452 .274 .089 .010 .033 .016 .023 .396 .791 .415 .220 .084 .009 .036 .013 .032 .485 .902 .377 .169 .077 .006 .033 .008 .042 .557 .983 .344 .127 .069 .003 .024 .002 .056 .595 1.000 .319 .103 .062 .001 .012 .000 .075 .594 .945 .313 .100 .058 .000 .002 .006 .095 .557 .840 .336 .124 .060 .000 .001 .020 .110 .493 .722 .389 .178 .071 .001 .008 .036 .114 .416 .619 .462 .261 .092 .002 r_peak,r_snr = .3129005 9.37321 Correlation Surface of oversamples image at 1946 4246 .001 .099 .407 .795 .939 .705 .374 .212 .186 .002 .118 .453 .852 .963 .678 .326 .168 .153 .005 .138 .497 .902 .982 .652 .284 .132 .122 .009 .160 .538 .944 .996 .632 .253 .105 .096 .015 .182 .572 .973 1.000 .614 .231 .087 .077 .022 .203 .594 .981 .989 .596 .218 .076 .064 .031 .220 .602 .966 .961 .579 .213 .072 .056 .041 .233 .599 .932 .922 .567 .219 .077 .054 .050 .242 .582 .881 .871 .555 .232 .088 .058 1946 -.219 4246 2.156 9.37321 .003144 .470170 .009515 Correlation Surface at 2046 4246 .006 .006 .151 .528 .974 .506 .193 .094 .111 .015 .002 .115 .473 .966 .506 .191 .108 .115 .024 .001 .082 .399 .966 .508 .197 .130 .130 .026 .000 .056 .337 .983 .517 .213 .163 .153 .019 .000 .039 .301 1.000 .525 .240 .210 .184 .008 .000 .027 .289 .983 .510 .272 .268 .214 .001 .002 .021 .290 .913 .454 .299 .333 .236 .000 .009 .019 .292 .790 .361 .305 .389 .247 .003 .017 .021 .283 .635 .260 .289 .425 .249 r_peak,r_snr = .1911801 6.57388 Correlation Surface of oversamples image at 2046 4246 .250 .681 1.521 3.038 4.000 3.267 1.761 .753 .327 .197 .546 1.330 2.859 3.898 3.268 1.847 .848 .389 .146 .412 1.128 2.655 3.767 3.233 1.909 .945 .470 .108 .306 .955 2.469 3.644 3.199 1.963 1.043 .559 .078 .224 .812 2.304 3.535 3.166 2.011 1.138 .658 2046 .031 4246 -2.813 6.57388 .008410 8.145558 -.108019 At line = 4600 Reading in data.... Correlation Surface at 146 4646 .112 .224 .443 .646 .655 .579 .460 .425 .314 .110 .229 .473 .734 .758 .622 .462 .414 .319 .102 .226 .499 .824 .869 .687 .485 .407 .312 .092 .217 .512 .885 .958 .766 .519 .399 .299 .078 .203 .511 .900 1.000 .840 .550 .383 .281 .061 .186 .499 .871 .985 .886 .562 .349 .255 .045 .169 .483 .813 .929 .901 .555 .305 .225 .033 .155 .465 .742 .860 .893 .540 .264 .198 .026 .144 .447 .672 .805 .879 .525 .236 .177 r_peak,r_snr = .3432025 4.63685 Correlation Surface of oversamples image at 146 4646 .503 .615 .757 .861 .877 .828 .778 .728 .647 .500 .623 .781 .901 .926 .874 .811 .747 .652 .486 .618 .790 .927 .963 .910 .838 .763 .656 .466 .604 .785 .939 .987 .937 .863 .781 .663 .445 .586 .773 .940 1.000 .957 .887 .804 .676 .423 .563 .751 .926 .998 .967 .908 .829 .692 .397 .533 .716 .895 .976 .961 .919 .849 .708 .373 .502 .677 .854 .942 .945 .926 .870 .727 .356 .478 .644 .816 .908 .930 .935 .896 .753 146 -.469 4646 -2.219 4.63685 .049017 .690970 -.111104 Correlation Surface at 446 4646 .120 .015 .030 .120 .764 .100 .035 .019 .232 .959 .088 .065 .014 .292 1.000 .073 .101 .012 .251 .840 .046 .125 .010 .141 .531 .010 .111 .011 .039 .225 .004 .060 .013 .000 .040 r_peak,r_snr = .1074119 11.48988 Correlation Surface of oversamples image at 446 4646 .198 .052 .048 .467 .799 .550 .156 .004 .039 .174 .038 .070 .539 .877 .581 .156 .003 .051 .149 .026 .092 .605 .946 .614 .164 .003 .054 .126 .018 .111 .651 .990 .639 .176 .005 .049 .108 .014 .118 .664 1.000 .651 .189 .008 .039 .090 .011 .118 .652 .989 .663 .212 .016 .024 .073 .009 .111 .613 .947 .663 .237 .028 .011 .065 .011 .087 .524 .841 .616 .238 .035 .006 .068 .017 .053 .401 .686 .526 .213 .033 .005 446 13.969 4646 -12.156 11.48988 .011552 .813822 .001950 Correlation Surface at 546 4646 .591 .626 .559 .952 .979 .445 .229 .242 .288 .597 .666 .594 .945 1.000 .485 .222 .215 .264 .591 .681 .645 .937 .989 .527 .226 .199 .242 .573 .670 .699 .929 .953 .554 .236 .192 .221 .552 .646 .744 .926 .902 .552 .242 .189 .200 .531 .616 .768 .921 .845 .514 .231 .180 .178 r_peak,r_snr = .3002106 3.61705 Correlation Surface of oversamples image at 546 4646 .445 .497 .642 .833 .920 .824 .599 .364 .221 .473 .528 .673 .866 .956 .860 .629 .382 .224 .499 .561 .706 .894 .984 .888 .654 .398 .228 .522 .593 .735 .914 .999 .905 .672 .412 .232 .538 .621 .758 .923 1.000 .910 .683 .423 .235 .551 .647 .779 .926 .992 .906 .688 .431 .238 .560 .670 .797 .924 .977 .894 .685 .434 .239 .559 .682 .803 .907 .946 .867 .671 .429 .235 .547 .680 .792 .875 .902 .826 .643 .414 .227 546 .500 4646 -13.188 3.61705 .017888 3.058473 -.160539 Correlation Surface at 646 4646 .288 .315 .491 .677 .724 .530 .405 .333 .323 .265 .303 .497 .739 .813 .564 .433 .356 .316 .247 .298 .523 .827 .901 .592 .446 .362 .297 .233 .299 .557 .916 .971 .605 .434 .344 .269 .220 .302 .583 .971 1.000 .597 .397 .307 .241 .207 .304 .592 .972 .979 .578 .349 .267 .223 .193 .303 .575 .915 .918 .558 .309 .237 .222 .180 .294 .536 .819 .833 .548 .288 .223 .235 .170 .277 .484 .709 .744 .549 .289 .221 .257 r_peak,r_snr = .3857857 3.32239 Correlation Surface of oversamples image at 646 4646 .285 .411 .579 .754 .868 .882 .793 .625 .430 .305 .442 .624 .813 .930 .936 .834 .651 .441 .320 .465 .657 .854 .970 .968 .858 .667 .446 .331 .481 .679 .879 .990 .983 .870 .678 .451 .341 .494 .694 .894 1.000 .990 .881 .692 .463 .345 .499 .696 .889 .990 .980 .881 .703 .477 .335 .487 .673 .855 .948 .942 .859 .701 .485 .319 .465 .639 .805 .891 .892 .829 .695 .495 .311 .454 .617 .769 .849 .858 .816 .707 .522 646 -.781 4646 -.281 3.32239 .009990 .544477 .028471 Correlation Surface at 746 4646 .075 .002 .001 .344 .545 .219 .360 .868 .792 .074 .003 .002 .395 .727 .285 .354 .800 .718 .070 .006 .007 .456 .897 .373 .356 .730 .644 .065 .013 .025 .521 1.000 .453 .351 .671 .604 .063 .025 .064 .586 1.000 .499 .347 .627 .609 .072 .044 .118 .641 .924 .521 .362 .609 .657 .097 .069 .173 .687 .832 .544 .418 .630 .731 .137 .092 .205 .728 .765 .578 .525 .689 .804 .174 .099 .201 .764 .733 .614 .678 .764 .846 r_peak,r_snr = .2030972 3.06228 Correlation Surface of oversamples image at 746 4646 .003 .006 .106 .464 .835 .877 .685 .422 .197 .011 .018 .141 .519 .891 .933 .760 .507 .259 .024 .036 .183 .575 .932 .965 .810 .579 .322 .048 .068 .242 .646 .978 .988 .849 .646 .390 .080 .111 .308 .711 1.000 .978 .854 .692 .452 .106 .147 .356 .735 .964 .908 .803 .691 .487 .124 .174 .389 .733 .896 .810 .723 .659 .502 .146 .208 .435 .751 .851 .733 .656 .632 .525 .161 .234 .472 .763 .805 .656 .584 .596 .542 746 .719 4646 -2.219 3.06228 .010666 1.286052 .019845 Correlation Surface at 946 4646 .170 .371 .699 .704 .431 .154 .081 .116 .242 .433 .737 .821 .488 .157 .075 .101 .364 .537 .784 .923 .530 .179 .084 .099 .532 .669 .842 .989 .548 .216 .108 .104 .716 .790 .898 1.000 .543 .259 .142 .107 .870 .862 .926 .954 .517 .292 .173 .100 .961 .867 .902 .865 .471 .297 .183 .082 .981 .815 .821 .753 .413 .264 .160 .058 .944 .733 .701 .635 .355 .211 .118 .038 r_peak,r_snr = .241104 2.74086 Correlation Surface of oversamples image at 946 4646 .402 .566 .785 .927 .957 .895 .754 .535 .316 .452 .616 .822 .953 .983 .922 .773 .542 .313 .498 .660 .852 .971 .999 .939 .782 .541 .307 .542 .698 .876 .981 1.000 .931 .762 .518 .290 .580 .727 .892 .982 .986 .902 .720 .478 .264 .607 .743 .895 .970 .958 .860 .671 .435 .239 .624 .746 .888 .950 .921 .810 .617 .393 .216 .637 .744 .876 .928 .881 .756 .561 .350 .195 946 -12.625 4646 -13.781 2.74086 .022001 1.559242 .088359 Correlation Surface at 1046 4646 .042 .226 .411 .869 .812 .197 .189 .270 .007 .044 .188 .374 .949 .870 .171 .109 .260 .019 .037 .125 .300 .963 .938 .175 .053 .199 .029 .029 .071 .212 .894 .988 .216 .029 .134 .039 .027 .041 .136 .766 1.000 .289 .027 .094 .058 .032 .034 .086 .610 .961 .371 .041 .084 .099 .044 .047 .065 .468 .881 .432 .065 .101 .184 .062 .086 .069 .370 .786 .447 .082 .130 .315 .078 .146 .096 .328 .699 .406 .076 .147 .458 r_peak,r_snr = .1698823 5.32553 Correlation Surface of oversamples image at 1046 4646 .066 .167 .479 .884 .995 .826 .568 .333 .192 .064 .172 .492 .893 1.000 .837 .566 .305 .151 .060 .172 .491 .883 .998 .850 .571 .284 .116 .055 .171 .488 .873 .996 .863 .574 .263 .084 .047 .164 .474 .850 .980 .860 .566 .237 .056 .038 .148 .440 .799 .937 .837 .549 .213 .035 1046 .406 4646 6.219 5.32553 .229397 11.871576 -1.605125 Correlation Surface at 1146 4646 .000 .122 .192 .305 .751 .566 .194 .098 .243 .002 .113 .192 .342 .847 .622 .190 .081 .188 .003 .091 .200 .424 .934 .664 .187 .074 .149 .002 .062 .213 .548 .995 .687 .183 .075 .123 .002 .037 .227 .683 1.000 .670 .178 .084 .109 r_peak,r_snr = .1990276 5.82032 Correlation Surface of oversamples image at 1146 4646 .173 .269 .418 .657 .906 .950 .726 .427 .221 .192 .316 .478 .708 .937 .971 .753 .453 .238 .215 .372 .549 .765 .963 .985 .776 .479 .258 .241 .434 .628 .824 .986 .990 .791 .504 .280 .271 .500 .708 .882 1.000 .983 .795 .524 .303 .300 .562 .782 .928 .999 .958 .782 .534 .324 .326 .612 .836 .952 .976 .910 .750 .531 .341 .346 .645 .866 .952 .931 .845 .699 .515 .353 .366 .667 .877 .936 .876 .771 .640 .492 .364 1146 2.250 4646 13.188 5.82032 .082333 2.726898 .409168 Correlation Surface at 1346 4646 .015 .077 .261 .706 .934 .663 .374 .239 .174 .020 .095 .287 .748 .960 .697 .424 .255 .161 .024 .112 .307 .782 .977 .722 .465 .270 .151 .026 .126 .321 .802 .992 .741 .492 .284 .147 .024 .132 .326 .804 1.000 .756 .496 .296 .152 .019 .132 .322 .786 .996 .765 .482 .302 .163 .012 .125 .305 .746 .979 .765 .459 .303 .177 .006 .111 .278 .691 .951 .757 .434 .302 .189 .002 .091 .245 .636 .922 .745 .414 .301 .197 r_peak,r_snr = .3939117 5.28619 Correlation Surface of oversamples image at 1346 4646 1.450 2.323 3.265 3.878 3.924 3.450 2.717 1.973 1.392 1.409 2.256 3.207 3.860 3.942 3.473 2.718 1.940 1.341 1.346 2.159 3.116 3.815 3.938 3.480 2.708 1.906 1.297 1.292 2.079 3.047 3.799 3.969 3.522 2.734 1.908 1.290 1346 -.094 4646 5.781 5.28619 .013936 8.632683 -.216367 Correlation Surface at 1446 4646 .048 .000 .032 .122 .484 .694 .197 .026 .000 .043 .001 .078 .198 .620 .781 .193 .019 .000 .030 .004 .139 .309 .778 .843 .203 .012 .002 .018 .006 .191 .434 .923 .881 .227 .006 .017 .014 .003 .204 .527 1.000 .898 .260 .002 .049 .021 .001 .171 .554 .972 .892 .288 .000 .090 .046 .019 .112 .518 .860 .864 .292 .003 .116 .093 .067 .056 .438 .721 .819 .271 .010 .113 .150 .127 .018 .344 .595 .757 .230 .018 .086 r_peak,r_snr = .1753505 8.20936 Correlation Surface of oversamples image at 1446 4646 .503 .550 .620 .793 .919 .748 .394 .130 .014 .580 .627 .685 .846 .948 .757 .403 .137 .014 .646 .696 .744 .893 .974 .766 .414 .147 .015 .697 .753 .792 .932 .995 .773 .425 .158 .015 .725 .791 .824 .953 1.000 .769 .429 .165 .015 .728 .806 .836 .953 .986 .752 .425 .167 .014 .717 .807 .835 .942 .965 .733 .419 .166 .013 .690 .794 .824 .921 .938 .712 .410 .163 .012 .636 .753 .788 .876 .887 .673 .388 .150 .009 1446 .375 4646 -2.531 8.20936 .037277 1.034008 .072387 Correlation Surface at 1546 4646 .044 .048 .001 .074 .300 .043 .001 .049 .023 .048 .028 .001 .168 .541 .103 .000 .032 .034 .022 .005 .000 .265 .785 .177 .000 .016 .042 .000 .002 .000 .336 .954 .237 .000 .006 .048 .027 .013 .000 .380 1.000 .269 .000 .001 .052 .106 .019 .010 .398 .931 .278 .000 .000 .050 .182 .009 .055 .400 .797 .278 .002 .000 .047 .185 .000 .139 .372 .634 .275 .009 .000 .040 .115 .009 .219 .296 .462 .266 .025 .003 .032 r_peak,r_snr = .1558464 12.6078 Correlation Surface of oversamples image at 1546 4646 .000 .050 .283 .645 .793 .554 .236 .088 .069 .000 .061 .329 .731 .898 .639 .277 .097 .062 .000 .068 .360 .787 .965 .696 .303 .096 .049 .000 .072 .377 .815 .996 .726 .318 .091 .034 .000 .076 .385 .821 1.000 .738 .325 .084 .021 .000 .082 .389 .808 .979 .731 .325 .077 .011 .001 .089 .385 .774 .932 .707 .320 .070 .005 .003 .099 .374 .725 .870 .676 .317 .068 .002 .010 .114 .366 .674 .808 .652 .327 .076 .001 1546 -.063 4646 -1.750 12.60781 .007860 1.089751 .003726 Correlation Surface at 1646 4646 .257 .311 .393 .540 .233 .116 .376 .788 .254 .314 .453 .696 .292 .109 .379 .793 .268 .332 .532 .856 .361 .101 .340 .717 .290 .350 .604 .972 .417 .089 .272 .593 .304 .353 .640 1.000 .438 .077 .200 .472 .298 .333 .625 .932 .416 .068 .146 .384 r_peak,r_snr = .2711682 3.08181 Correlation Surface of oversamples image at 1646 4646 .119 .150 .269 .513 .707 .545 .189 .014 .000 .130 .173 .314 .592 .811 .631 .224 .018 .001 .141 .196 .359 .663 .897 .700 .253 .020 .002 .151 .220 .403 .724 .964 .754 .278 .023 .002 .159 .241 .439 .768 1.000 .781 .294 .026 .002 .158 .251 .459 .781 .996 .774 .294 .028 .002 .150 .251 .461 .767 .958 .739 .283 .029 .001 .143 .248 .458 .744 .911 .699 .274 .033 .000 .134 .242 .448 .714 .858 .656 .266 .039 .000 1646 -11.969 4646 13.219 3.08181 .005500 .401273 .002859 Correlation Surface at 1746 4646 .235 .315 .276 .430 .425 .370 .149 .018 .037 .235 .296 .229 .524 .648 .500 .177 .040 .086 .225 .252 .177 .556 .859 .615 .183 .058 .118 .214 .202 .136 .517 .986 .677 .160 .059 .112 .203 .159 .117 .440 1.000 .662 .118 .042 .076 .189 .126 .121 .363 .931 .582 .072 .020 .038 .165 .104 .146 .317 .845 .468 .032 .005 .016 .130 .088 .183 .316 .791 .363 .007 .000 .007 .095 .077 .223 .353 .771 .281 .000 .001 .004 r_peak,r_snr = .1839279 5.81197 Correlation Surface of oversamples image at 1746 4646 .161 .302 .597 .818 .810 .626 .373 .182 .096 .168 .314 .621 .870 .899 .711 .406 .178 .086 .178 .321 .620 .884 .956 .777 .429 .168 .072 .192 .327 .604 .873 .991 .834 .452 .160 .058 .207 .327 .572 .838 1.000 .874 .468 .150 .045 .218 .318 .523 .776 .973 .882 .466 .136 .032 .228 .306 .469 .703 .925 .868 .453 .119 .020 .246 .306 .432 .649 .892 .861 .447 .109 .012 .266 .312 .409 .612 .866 .853 .441 .100 .007 1746 5.094 4646 .125 5.81197 .014135 1.420804 -.041390 Correlation Surface at 1846 4646 .427 .463 .588 .830 .880 .743 .570 .480 .495 .413 .467 .592 .845 .920 .784 .571 .477 .512 .401 .474 .598 .861 .964 .819 .570 .483 .536 .389 .480 .605 .875 .996 .836 .564 .494 .563 .371 .480 .612 .880 1.000 .827 .553 .508 .586 .352 .471 .617 .874 .975 .796 .542 .522 .600 .337 .454 .614 .859 .934 .757 .535 .533 .606 .329 .432 .604 .838 .893 .723 .535 .541 .607 .332 .410 .588 .814 .857 .697 .540 .549 .607 r_peak,r_snr = .593904 2.29869 Correlation Surface of oversamples image at 1846 4646 .861 .960 .986 .982 .969 .901 .790 .693 .638 .868 .960 .981 .979 .978 .922 .805 .695 .632 .878 .963 .979 .979 .989 .942 .821 .699 .631 .888 .967 .979 .980 .997 .958 .835 .705 .633 .897 .968 .976 .977 1.000 .967 .844 .710 .635 .906 .969 .971 .971 .996 .969 .849 .713 .639 .915 .972 .966 .962 .986 .964 .849 .715 .642 .925 .975 .961 .949 .969 .949 .843 .715 .643 .931 .976 .952 .930 .943 .926 .831 .711 .643 1846 1.563 4646 -1.781 2.29869 .005055 .284669 .011002 Correlation Surface at 1946 4646 .010 .000 .003 .175 .724 .594 .236 .051 .020 .012 .000 .009 .236 .837 .637 .183 .009 .053 .014 .000 .021 .303 .932 .664 .156 .000 .097 .012 .001 .034 .364 .993 .673 .152 .005 .139 .007 .002 .045 .402 1.000 .662 .166 .008 .161 .003 .007 .055 .412 .951 .630 .194 .005 .150 .000 .016 .065 .394 .858 .576 .226 .001 .113 .000 .031 .076 .359 .744 .505 .248 .001 .068 .000 .049 .094 .323 .623 .419 .243 .004 .034 r_peak,r_snr = .2644837 8.38761 Correlation Surface of oversamples image at 1946 4646 .043 .187 .485 .830 .932 .717 .416 .194 .069 .055 .205 .514 .870 .964 .721 .392 .155 .037 .068 .225 .542 .904 .988 .722 .372 .128 .019 .085 .246 .566 .927 .999 .718 .358 .111 .009 .104 .268 .588 .940 1.000 .713 .351 .102 .004 .125 .291 .607 .944 .991 .705 .350 .102 .003 .146 .312 .619 .933 .968 .693 .352 .108 .004 .164 .325 .616 .901 .928 .675 .358 .119 .006 .179 .332 .602 .855 .877 .655 .366 .135 .011 1946 .313 4646 .219 8.38761 .006761 1.230274 .038507 At line = 5000 Reading in data.... Correlation Surface at 146 5046 .071 .200 .468 .752 .843 .721 .584 .414 .283 .070 .172 .410 .744 .897 .759 .583 .409 .290 .064 .151 .374 .751 .948 .788 .582 .415 .322 .059 .142 .367 .774 .986 .798 .575 .427 .366 .055 .146 .384 .803 1.000 .788 .563 .436 .402 .053 .155 .413 .823 .991 .772 .556 .442 .413 .050 .162 .437 .822 .964 .765 .558 .444 .393 .046 .161 .440 .791 .925 .772 .570 .442 .351 .040 .149 .420 .736 .880 .786 .583 .435 .303 r_peak,r_snr = .4007905 4.02806 Correlation Surface of oversamples image at 146 5046 .485 .624 .776 .898 .945 .911 .842 .788 .740 .454 .596 .762 .903 .965 .934 .862 .801 .744 .427 .572 .750 .909 .984 .958 .883 .816 .749 .406 .553 .738 .910 .996 .974 .898 .825 .749 .391 .539 .728 .906 1.000 .983 .905 .826 .742 .384 .532 .721 .901 .998 .983 .904 .819 .729 .383 .533 .718 .895 .992 .976 .894 .805 .712 .389 .538 .717 .886 .980 .963 .879 .787 .692 .400 .548 .717 .876 .965 .947 .862 .767 .673 146 .188 5046 -4.750 4.02806 .015151 2.236776 .115264 Correlation Surface at 346 5046 .716 .639 .562 .757 .948 .774 .563 .594 .568 .686 .597 .530 .756 .961 .758 .554 .582 .571 .639 .556 .502 .748 .979 .744 .556 .581 .593 .575 .516 .478 .729 .994 .741 .573 .592 .631 .501 .474 .457 .699 1.000 .753 .604 .616 .680 .433 .432 .435 .662 .992 .781 .649 .649 .729 .381 .397 .413 .622 .967 .818 .704 .684 .768 .352 .373 .394 .583 .923 .853 .758 .710 .784 .347 .361 .377 .546 .860 .871 .797 .722 .777 r_peak,r_snr = .4900726 2.10707 Correlation Surface of oversamples image at 346 5046 .423 .514 .673 .848 .946 .887 .733 .611 .551 .411 .501 .665 .854 .966 .907 .747 .623 .564 .401 .489 .656 .858 .982 .925 .761 .636 .578 .394 .479 .647 .857 .994 .940 .775 .650 .594 .389 .470 .636 .853 1.000 .951 .788 .665 .612 .385 .463 .624 .844 .999 .956 .798 .679 .630 .385 .458 .613 .832 .991 .956 .806 .694 .651 .386 .454 .601 .815 .974 .948 .810 .706 .669 .385 .447 .586 .789 .946 .928 .804 .711 .681 346 .156 5046 1.969 2.10707 .014362 3.779049 -.205168 Correlation Surface at 446 5046 .006 .228 .302 .023 .005 .008 .149 .032 .016 .019 .156 .454 .001 .077 .032 .069 .017 .126 .123 .084 .556 .052 .372 .179 .024 .023 .191 .270 .025 .573 .187 .752 .353 .009 .043 .166 .367 .000 .488 .340 1.000 .435 .008 .056 .118 .368 .022 .312 .392 .991 .383 .019 .045 .101 .297 .098 .109 .279 .774 .262 .046 .023 .141 .200 .232 .001 .093 .501 .156 .080 .010 .251 .125 .440 .105 .001 .287 .088 .112 .006 .400 r_peak,r_snr = 7.75033E-02 3.10175 Correlation Surface of oversamples image at 446 5046 .091 .025 .097 .366 .535 .363 .108 .005 .004 .097 .046 .164 .504 .693 .499 .183 .018 .002 .102 .073 .240 .641 .837 .624 .260 .035 .002 .107 .104 .318 .761 .947 .712 .317 .049 .002 .111 .135 .384 .840 1.000 .744 .340 .055 .002 .108 .156 .420 .861 .987 .715 .323 .051 .003 .097 .160 .418 .822 .913 .636 .275 .038 .004 .082 .152 .389 .741 .802 .533 .214 .024 .007 .064 .132 .338 .633 .669 .417 .150 .011 .009 446 2.406 5046 3.219 3.10175 .041968 .997792 .064895 Correlation Surface at 546 5046 .316 .260 .292 .460 .778 .638 .412 .268 .159 .331 .277 .314 .499 .846 .624 .405 .283 .214 .354 .299 .333 .529 .913 .635 .416 .296 .268 .377 .325 .350 .549 .968 .670 .441 .306 .307 .391 .350 .368 .560 1.000 .721 .473 .311 .319 .391 .369 .387 .564 .996 .773 .503 .308 .303 .377 .378 .410 .561 .953 .811 .524 .300 .270 .351 .377 .435 .552 .875 .830 .535 .291 .235 .317 .367 .459 .539 .778 .824 .536 .284 .209 r_peak,r_snr = .3495211 3.87362 Correlation Surface of oversamples image at 546 5046 .303 .386 .541 .781 .931 .829 .615 .466 .389 .309 .394 .554 .801 .961 .863 .644 .489 .406 .317 .402 .563 .815 .985 .895 .675 .515 .426 .325 .409 .568 .819 1.000 .923 .708 .544 .445 .331 .413 .565 .811 1.000 .942 .738 .571 .462 .337 .415 .557 .793 .987 .952 .763 .596 .477 .347 .420 .550 .772 .969 .959 .789 .621 .491 .358 .425 .541 .746 .944 .959 .812 .645 .503 .366 .427 .526 .709 .902 .942 .821 .659 .508 546 .125 5046 1.375 3.87362 .006443 1.458263 -.047943 Correlation Surface at 746 5046 .008 .089 .050 .200 .967 .468 .001 .107 .039 .004 .114 .078 .171 .968 .466 .007 .154 .065 .000 .113 .073 .190 .972 .475 .014 .208 .091 .012 .083 .043 .256 .989 .496 .014 .252 .108 .060 .039 .013 .345 1.000 .511 .009 .275 .112 .145 .005 .000 .412 .979 .511 .002 .271 .105 .231 .004 .004 .415 .924 .503 .001 .236 .096 .264 .030 .015 .352 .853 .505 .011 .181 .093 .216 .053 .022 .269 .792 .544 .036 .122 .096 r_peak,r_snr = .1786176 8.42678 Correlation Surface of oversamples image at 746 5046 .029 .229 1.496 3.179 4.000 3.437 1.904 .499 .000 .060 .164 1.350 3.017 3.931 3.416 1.804 .386 .009 .090 .129 1.260 2.888 3.852 3.399 1.739 .305 .035 .105 .120 1.238 2.819 3.781 3.376 1.695 .252 .065 .104 .131 1.271 2.794 3.702 3.324 1.656 .219 .090 746 .063 5046 -6.781 8.42678 .034107 12.151737 .557753 Correlation Surface at 1046 5046 .156 .048 .001 .075 .366 .617 .270 .001 .046 .176 .026 .009 .090 .436 .605 .258 .018 .078 .185 .009 .028 .148 .590 .571 .219 .035 .070 .159 .000 .071 .274 .817 .495 .153 .036 .036 .112 .005 .130 .433 1.000 .366 .072 .024 .009 .079 .007 .157 .509 .983 .222 .015 .011 .000 .074 .000 .116 .432 .721 .103 .000 .004 .000 .099 .015 .042 .257 .359 .030 .013 .001 .000 .154 .081 .001 .099 .095 .002 .023 .000 .000 r_peak,r_snr = .1234878 6.8316 Correlation Surface of oversamples image at 1046 5046 .045 .046 .135 .394 .738 .892 .828 .613 .253 .071 .073 .185 .488 .847 .938 .789 .536 .205 .102 .110 .248 .590 .937 .936 .697 .423 .146 .130 .150 .316 .685 .992 .885 .570 .297 .089 .150 .187 .377 .753 1.000 .796 .433 .184 .044 .152 .208 .411 .767 .943 .672 .300 .094 .014 .134 .205 .403 .714 .823 .527 .186 .035 .001 .109 .188 .370 .625 .678 .394 .107 .009 .001 .076 .154 .309 .502 .516 .269 .052 .000 .005 1046 1.063 5046 -1.281 6.83160 .036703 .821352 .131026 Correlation Surface at 1146 5046 .035 .024 .021 .218 .689 .651 .339 .092 .145 .043 .029 .043 .333 .776 .803 .408 .081 .110 .048 .032 .076 .486 .876 .900 .414 .064 .089 .038 .031 .114 .646 .962 .893 .349 .043 .078 .016 .027 .149 .777 1.000 .786 .246 .022 .074 .001 .020 .174 .845 .967 .626 .157 .008 .071 r_peak,r_snr = .1472154 7.87046 Correlation Surface of oversamples image at 1146 5046 .082 .173 .383 .631 .840 .903 .722 .409 .174 .097 .212 .451 .712 .909 .966 .779 .430 .162 .110 .248 .514 .780 .957 .996 .802 .432 .145 .123 .286 .574 .837 .984 .996 .795 .419 .126 .142 .334 .643 .893 1.000 .978 .771 .402 .113 .164 .387 .714 .941 .998 .936 .726 .379 .103 .180 .430 .763 .955 .960 .860 .653 .343 .090 .190 .460 .788 .939 .894 .761 .563 .298 .078 .203 .495 .817 .925 .833 .673 .486 .264 .075 1146 2.250 5046 12.188 7.87046 1.648917 16.459835 5.078154 Correlation Surface at 1246 5046 .016 .047 .016 .221 .469 .222 .001 .074 .012 .004 .070 .003 .235 .656 .350 .006 .070 .011 .001 .090 .001 .235 .841 .524 .026 .044 .009 .001 .108 .011 .217 .965 .707 .079 .012 .007 .006 .118 .025 .195 1.000 .841 .172 .000 .005 .019 .119 .029 .188 .962 .885 .285 .014 .005 .038 .111 .016 .214 .893 .841 .373 .036 .009 .055 .095 .001 .282 .836 .750 .397 .041 .019 .063 .076 .008 .389 .814 .665 .360 .025 .040 r_peak,r_snr = .2042483 6.9255 Correlation Surface of oversamples image at 1246 5046 .018 .183 .521 .845 .830 .498 .192 .038 .000 .016 .186 .548 .899 .900 .570 .246 .066 .003 .014 .186 .563 .936 .956 .636 .305 .101 .014 .012 .182 .567 .953 .990 .689 .360 .140 .029 .010 .177 .562 .949 1.000 .725 .407 .177 .047 .011 .178 .558 .936 .996 .750 .448 .212 .064 .015 .185 .554 .914 .976 .757 .477 .239 .077 .021 .193 .543 .872 .929 .737 .481 .248 .079 .031 .206 .530 .822 .870 .700 .467 .242 .073 1246 .313 5046 -7.188 6.92550 .012002 1.550744 -.083866 Correlation Surface at 1346 5046 .036 .088 .305 .720 .845 .740 .663 .437 .241 .035 .089 .318 .756 .889 .748 .623 .408 .223 .034 .087 .312 .759 .948 .777 .594 .391 .211 .030 .078 .285 .721 .994 .809 .580 .396 .209 .022 .061 .245 .651 1.000 .826 .582 .425 .220 .013 .043 .204 .567 .954 .813 .590 .464 .238 .007 .027 .173 .493 .869 .773 .595 .500 .261 .003 .018 .156 .442 .772 .721 .592 .523 .290 .002 .015 .154 .418 .689 .677 .583 .530 .319 r_peak,r_snr = .4207795 3.90552 Correlation Surface of oversamples image at 1346 5046 .289 .492 .705 .865 .909 .824 .697 .621 .616 .291 .495 .715 .890 .946 .861 .725 .638 .623 .286 .488 .714 .904 .974 .894 .751 .653 .630 .277 .473 .702 .906 .992 .919 .772 .667 .637 .265 .455 .682 .897 1.000 .937 .790 .681 .646 .251 .433 .656 .878 .995 .945 .802 .692 .656 .235 .407 .624 .846 .973 .936 .803 .696 .662 .220 .383 .590 .807 .939 .915 .794 .694 .665 .209 .365 .563 .770 .903 .892 .785 .695 .672 1346 .094 5046 1.781 3.90552 .008867 .417336 -.039142 Correlation Surface at 1446 5046 .093 .033 .043 .156 .613 .607 .286 .176 .127 .089 .034 .049 .214 .774 .654 .279 .172 .143 .087 .036 .055 .280 .910 .682 .275 .175 .155 .085 .034 .056 .342 .990 .684 .264 .174 .152 .080 .028 .052 .390 1.000 .654 .238 .161 .132 .073 .020 .044 .416 .952 .593 .204 .141 .104 .064 .013 .039 .422 .876 .524 .172 .120 .081 .054 .009 .039 .419 .802 .468 .152 .106 .070 .044 .009 .049 .411 .744 .437 .149 .105 .071 r_peak,r_snr = .28983 7.47155 Correlation Surface of oversamples image at 1446 5046 .047 .102 .272 .588 .904 .973 .776 .521 .341 .050 .118 .310 .643 .948 .991 .776 .519 .343 .052 .132 .346 .690 .981 .997 .767 .511 .338 .051 .144 .377 .729 1.000 .990 .749 .494 .326 .047 .151 .399 .751 1.000 .966 .719 .468 .306 .042 .153 .412 .760 .987 .932 .681 .437 .281 .037 .155 .422 .766 .974 .903 .650 .409 .258 .033 .155 .428 .765 .957 .875 .622 .383 .236 .028 .150 .420 .743 .921 .835 .586 .354 .212 1446 .219 5046 .000 7.47155 .007247 .980772 .052997 Correlation Surface at 1546 5046 .027 .350 .109 .043 .273 .127 .113 .038 .047 .069 .634 .203 .100 .542 .200 .083 .064 .114 .111 .896 .290 .179 .838 .271 .063 .125 .258 .132 .993 .326 .242 1.000 .298 .046 .208 .448 .123 .883 .295 .241 .914 .254 .028 .276 .605 .092 .639 .211 .173 .631 .159 .013 .302 .667 .062 .380 .115 .085 .322 .068 .003 .287 .646 .046 .190 .040 .026 .119 .019 .000 .260 .599 r_peak,r_snr = .1198511 6.64552 Correlation Surface of oversamples image at 1546 5046 .103 .007 .200 .458 .572 .487 .305 .158 .083 .140 .006 .235 .563 .715 .607 .370 .176 .083 .167 .007 .274 .662 .846 .711 .423 .187 .081 .173 .012 .322 .752 .951 .790 .461 .194 .081 .163 .019 .360 .802 1.000 .822 .471 .189 .077 .151 .025 .368 .788 .968 .788 .438 .163 .063 .138 .027 .350 .722 .876 .707 .376 .126 .045 .109 .033 .330 .647 .773 .622 .317 .095 .034 .077 .038 .295 .551 .654 .528 .257 .068 .025 1546 -7.000 5046 -11.938 6.64552 .011094 .429954 .010536 Correlation Surface at 1646 5046 .392 .474 .603 .818 .893 .739 .459 .392 .487 .417 .490 .650 .858 .919 .754 .479 .411 .515 .468 .513 .684 .889 .953 .777 .500 .426 .534 .541 .546 .696 .900 .985 .799 .516 .428 .538 .623 .588 .686 .883 1.000 .816 .528 .421 .528 .701 .638 .659 .836 .986 .823 .541 .411 .506 .760 .687 .620 .762 .939 .819 .557 .403 .473 .794 .730 .577 .681 .870 .802 .578 .405 .436 .799 .761 .541 .612 .794 .773 .598 .421 .403 r_peak,r_snr = .4033896 1.89099 Correlation Surface of oversamples image at 1646 5046 .476 .586 .720 .862 .934 .861 .688 .504 .359 .479 .597 .740 .889 .959 .877 .694 .503 .355 .474 .599 .752 .908 .977 .887 .695 .498 .347 .464 .593 .757 .922 .992 .895 .695 .493 .341 .449 .581 .754 .928 1.000 .899 .693 .489 .336 .429 .558 .738 .920 .995 .892 .685 .483 .331 .406 .530 .713 .900 .977 .874 .672 .476 .328 .388 .503 .686 .879 .958 .858 .663 .477 .333 .374 .478 .659 .854 .935 .840 .656 .482 .345 1646 -.031 5046 1.063 1.89099 .025759 1.539096 -.126448 Correlation Surface at 1746 5046 .148 .132 .067 .055 .695 .179 .003 .000 .172 .110 .084 .033 .101 .816 .217 .006 .003 .128 .097 .052 .011 .154 .923 .279 .011 .007 .096 .112 .039 .003 .197 .990 .370 .025 .007 .075 .156 .041 .001 .205 1.000 .489 .058 .006 .060 .221 .057 .004 .175 .966 .628 .114 .007 .047 .291 .088 .016 .121 .918 .766 .178 .012 .035 .338 .124 .042 .069 .871 .876 .226 .023 .027 .336 .149 .072 .035 .820 .922 .234 .034 .032 r_peak,r_snr = .1374017 6.92992 Correlation Surface of oversamples image at 1746 5046 .054 .009 .060 .450 .816 .601 .196 .037 .023 .046 .004 .078 .503 .891 .676 .245 .058 .037 .039 .001 .096 .543 .946 .741 .300 .088 .055 .033 .000 .113 .575 .983 .799 .364 .130 .081 .028 .000 .127 .594 1.000 .847 .434 .185 .116 .026 .000 .134 .592 .993 .882 .508 .251 .158 .026 .000 .132 .571 .967 .905 .582 .324 .205 .027 .000 .124 .543 .934 .925 .656 .403 .257 .028 .000 .111 .500 .886 .930 .719 .477 .306 1746 .125 5046 5.250 6.92992 .064632 13.665477 -.861883 Correlation Surface at 1946 5046 .101 .092 .031 .125 .631 .363 .096 .027 .002 .115 .095 .023 .160 .744 .369 .074 .014 .000 .126 .099 .015 .193 .861 .396 .066 .005 .003 .125 .103 .009 .219 .956 .439 .068 .002 .007 .112 .102 .004 .234 1.000 .480 .075 .001 .009 .093 .091 .002 .235 .969 .496 .079 .001 .007 .076 .076 .001 .220 .867 .469 .073 .001 .004 .066 .060 .000 .196 .730 .408 .062 .001 .002 .062 .048 .000 .175 .601 .343 .051 .000 .001 r_peak,r_snr = .2744653 11.10565 Correlation Surface of oversamples image at 1946 5046 .040 .002 .150 .528 .859 .843 .565 .291 .147 .033 .005 .178 .578 .906 .877 .582 .292 .140 .026 .010 .207 .625 .952 .911 .600 .294 .134 .019 .016 .232 .662 .986 .937 .613 .294 .128 .014 .022 .250 .682 1.000 .946 .614 .288 .120 .009 .029 .262 .684 .991 .935 .603 .277 .111 .005 .034 .265 .669 .960 .903 .578 .260 .100 .002 .039 .263 .642 .913 .857 .545 .241 .089 .000 .044 .258 .607 .852 .795 .503 .219 .079 1946 .188 5046 1.000 11.10565 .002865 .638326 -.005039 Correlation Surface at 2046 5046 .008 .344 .539 .183 .040 .320 .028 .524 .669 .147 .058 .291 .059 .735 .767 .084 .101 .268 .084 .915 .822 .030 .178 .249 .090 1.000 .845 .004 .273 .222 r_peak,r_snr = .128241 4.50962 Correlation Surface of oversamples image at 2046 5046 .024 .015 .232 .619 .857 .723 .352 .057 .009 .023 .018 .261 .684 .922 .735 .320 .035 .024 .020 .020 .278 .731 .964 .726 .277 .016 .049 .017 .021 .285 .758 .987 .707 .235 .004 .085 .012 .022 .286 .772 1.000 .690 .202 .000 .125 .008 .022 .277 .764 .994 .669 .176 .002 .164 .006 .019 .254 .722 .954 .636 .152 .006 .200 .004 .016 .223 .657 .892 .600 .135 .011 .223 .002 .015 .200 .596 .832 .575 .131 .012 .222 2046 -13.531 5046 13.750 4.50962 .013607 1.299016 -.010939 At line = 5400 Reading in data.... Correlation Surface at 146 5446 .012 .003 .105 .352 .603 .486 .215 .033 .004 .010 .002 .101 .430 .713 .502 .221 .053 .000 .011 .000 .087 .489 .847 .530 .215 .065 .005 .017 .002 .068 .507 .957 .561 .203 .063 .010 .030 .010 .051 .481 1.000 .584 .191 .054 .009 r_peak,r_snr = .2553406 9.12113 Correlation Surface of oversamples image at 146 5446 .029 .166 .406 .676 .848 .803 .594 .383 .226 .026 .168 .427 .724 .909 .848 .615 .389 .228 .021 .161 .434 .755 .955 .884 .631 .392 .229 .015 .150 .431 .772 .985 .910 .645 .397 .230 .010 .138 .420 .774 1.000 .928 .660 .406 .234 .006 .124 .401 .759 .991 .928 .667 .414 .238 .003 .108 .373 .724 .956 .905 .662 .417 .239 .001 .091 .339 .675 .900 .865 .647 .416 .239 .000 .076 .307 .622 .837 .817 .629 .417 .241 146 .125 5446 13.750 9.12113 .006957 .504730 -.020061 Correlation Surface at 246 5446 .079 .000 .009 .110 .240 .174 .091 .010 .148 .095 .000 .016 .195 .435 .324 .130 .006 .157 .099 .000 .019 .284 .712 .553 .191 .001 .141 .101 .000 .016 .317 .947 .783 .266 .002 .103 .103 .005 .010 .267 1.000 .894 .330 .014 .055 .101 .021 .006 .159 .840 .829 .354 .040 .017 .091 .065 .005 .058 .565 .643 .329 .073 .000 .071 .149 .008 .007 .311 .432 .270 .105 .005 .047 .263 .025 .000 .155 .268 .209 .124 .017 r_peak,r_snr = .1526243 10.97165 Correlation Surface of oversamples image at 246 5446 .000 .147 .405 .524 .576 .589 .454 .300 .222 .001 .187 .507 .661 .727 .729 .567 .391 .305 .001 .208 .580 .775 .859 .849 .662 .472 .385 .000 .206 .617 .849 .953 .931 .726 .533 .455 .000 .192 .626 .885 1.000 .972 .763 .577 .515 .003 .165 .599 .866 .985 .959 .760 .592 .550 .010 .125 .525 .781 .896 .878 .700 .559 .540 .020 .083 .426 .654 .759 .751 .604 .491 .493 .024 .055 .337 .531 .626 .631 .514 .426 .444 246 .188 5446 4.656 10.97166 .021880 .361420 -.037716 Correlation Surface at 446 5446 .462 .537 .596 .510 .484 .427 .379 .369 .215 .413 .554 .677 .658 .640 .530 .410 .366 .224 .385 .575 .718 .786 .805 .631 .440 .361 .241 .382 .593 .710 .852 .935 .704 .460 .357 .264 .397 .598 .659 .838 1.000 .736 .472 .366 .296 .417 .584 .587 .766 .997 .733 .486 .397 .342 .423 .550 .515 .668 .944 .714 .507 .451 .402 .403 .503 .459 .579 .867 .698 .531 .520 .467 .356 .451 .428 .518 .782 .692 .555 .589 .528 r_peak,r_snr = .3141942 2.6979 Correlation Surface of oversamples image at 446 5446 .482 .533 .618 .726 .785 .757 .650 .509 .387 .493 .560 .669 .800 .867 .828 .700 .540 .402 .495 .573 .702 .856 .933 .884 .738 .562 .411 .489 .571 .716 .889 .979 .924 .763 .577 .418 .471 .554 .707 .896 1.000 .945 .774 .583 .422 .446 .525 .680 .879 .997 .947 .774 .582 .424 .421 .494 .645 .847 .978 .938 .769 .582 .431 .395 .462 .605 .803 .945 .920 .760 .582 .441 .364 .424 .554 .743 .891 .884 .741 .576 .448 446 6.094 5446 -5.250 2.69790 .019680 .561084 -.045804 Correlation Surface at 546 5446 .176 .225 .428 .747 .812 .586 .448 .404 .321 .164 .225 .439 .793 .893 .637 .458 .425 .363 .147 .233 .462 .828 .959 .686 .469 .443 .401 .128 .244 .484 .840 .996 .721 .478 .454 .423 .112 .255 .501 .829 1.000 .733 .473 .446 .418 .101 .264 .517 .809 .982 .721 .447 .417 .378 .097 .269 .527 .792 .961 .696 .408 .371 .315 .096 .266 .525 .782 .948 .671 .369 .315 .243 .095 .255 .506 .775 .939 .651 .341 .263 .181 r_peak,r_snr = .3109641 4.6344 Correlation Surface of oversamples image at 546 5446 .444 .624 .802 .935 .962 .863 .705 .566 .478 .466 .642 .814 .947 .981 .882 .716 .567 .474 .488 .657 .821 .952 .991 .894 .722 .565 .468 .511 .672 .825 .955 .997 .902 .725 .561 .461 .533 .683 .827 .954 1.000 .906 .723 .554 .452 .547 .686 .821 .946 .996 .904 .716 .542 .438 .552 .682 .810 .934 .987 .896 .704 .525 .420 .553 .677 .801 .927 .983 .891 .693 .509 .401 .546 .667 .790 .919 .979 .885 .679 .491 .382 546 -.063 5446 2.000 4.63440 .017586 5.257362 -.101505 Correlation Surface at 646 5446 .754 .763 .755 .879 .877 .812 .683 .471 .454 .748 .768 .763 .883 .909 .832 .696 .499 .479 .725 .749 .764 .891 .950 .854 .695 .516 .497 .693 .709 .752 .896 .986 .869 .681 .518 .506 .664 .665 .738 .895 1.000 .869 .654 .506 .503 r_peak,r_snr = .5342773 1.78569 Correlation Surface of oversamples image at 646 5446 .762 .822 .893 .931 .926 .892 .811 .674 .548 .751 .821 .906 .959 .958 .911 .811 .666 .541 .738 .818 .916 .980 .982 .923 .806 .653 .531 .723 .812 .920 .993 .997 .926 .793 .636 .520 .706 .802 .918 .997 1.000 .917 .772 .615 .507 .692 .790 .909 .990 .990 .897 .743 .589 .491 .682 .780 .898 .976 .970 .868 .708 .560 .475 .676 .770 .884 .956 .941 .831 .668 .528 .458 .670 .756 .862 .926 .902 .785 .623 .493 .438 646 1.281 5446 14.406 1.78569 .009856 .311706 .006196 Correlation Surface at 746 5446 .154 .478 .423 .386 .393 .069 .005 .010 .008 .216 .666 .670 .656 .613 .118 .020 .016 .005 .264 .793 .848 .883 .832 .171 .034 .012 .001 .270 .827 .868 .948 .976 .216 .041 .004 .000 .220 .772 .750 .836 1.000 .255 .045 .000 .000 .134 .663 .589 .636 .918 .298 .053 .000 .000 .053 .538 .461 .463 .797 .353 .071 .000 .002 .008 .417 .396 .380 .693 .417 .108 .006 .013 .000 .312 .388 .391 .632 .478 .169 .034 .045 r_peak,r_snr = .1648736 7.62264 Correlation Surface of oversamples image at 746 5446 .801 .664 .600 .679 .746 .597 .335 .163 .094 .878 .754 .692 .779 .846 .669 .381 .200 .125 .941 .823 .760 .855 .926 .733 .424 .236 .155 .970 .852 .787 .894 .978 .784 .465 .270 .182 .973 .844 .776 .896 1.000 .820 .501 .301 .205 .964 .814 .739 .869 .993 .837 .532 .330 .225 .942 .767 .683 .817 .959 .837 .557 .360 .247 .897 .699 .610 .743 .898 .814 .571 .386 .268 .840 .625 .534 .664 .824 .780 .579 .411 .289 746 -.500 5446 .219 7.62264 .034568 1.481570 -.176886 Correlation Surface at 846 5446 .694 .718 .703 .825 .729 .446 .369 .389 .455 .657 .659 .665 .846 .792 .478 .399 .449 .513 .631 .608 .644 .875 .871 .541 .447 .516 .571 .613 .572 .643 .910 .949 .626 .508 .582 .618 .600 .552 .662 .938 1.000 .714 .575 .638 .642 .591 .546 .688 .937 .999 .779 .639 .682 .641 .585 .552 .703 .894 .942 .805 .696 .714 .619 .583 .564 .695 .810 .850 .799 .751 .748 .589 .586 .582 .670 .714 .757 .775 .807 .793 .562 r_peak,r_snr = .4299483 2.07147 Correlation Surface of oversamples image at 846 5446 .515 .568 .680 .824 .893 .811 .644 .502 .433 .496 .560 .687 .848 .930 .855 .686 .537 .462 .484 .559 .698 .870 .963 .897 .727 .574 .494 .479 .563 .710 .888 .988 .930 .764 .608 .525 .479 .571 .722 .898 1.000 .952 .793 .638 .554 .484 .581 .730 .897 .998 .960 .813 .666 .583 .492 .592 .733 .886 .980 .953 .825 .688 .611 .503 .602 .732 .865 .950 .935 .827 .707 .638 .515 .610 .723 .835 .909 .903 .820 .722 .665 846 -.344 5446 -3.750 2.07147 .014861 .396495 -.045767 Correlation Surface at 946 5446 .013 .012 .020 .372 .573 .494 .883 .630 .002 .011 .041 .008 .421 .703 .591 .711 .525 .005 .012 .078 .003 .510 .849 .668 .546 .438 .002 .017 .111 .002 .601 .967 .680 .421 .398 .001 .027 .128 .002 .636 1.000 .605 .337 .402 .024 .036 .121 .002 .569 .899 .457 .290 .427 .076 .040 .090 .003 .415 .682 .289 .275 .430 .126 .033 .043 .004 .238 .422 .151 .283 .387 .140 .017 .004 .012 .112 .216 .069 .310 .293 .106 r_peak,r_snr = .1178798 7.36269 Correlation Surface of oversamples image at 946 5446 .009 .011 .163 .425 .577 .532 .462 .505 .550 .006 .019 .228 .576 .741 .609 .452 .462 .528 .004 .027 .288 .717 .878 .650 .415 .403 .497 .002 .035 .338 .830 .971 .653 .364 .342 .468 .001 .041 .369 .893 1.000 .613 .299 .279 .436 .000 .042 .368 .885 .949 .527 .224 .214 .390 .000 .038 .341 .813 .830 .415 .154 .157 .341 .000 .039 .310 .714 .687 .309 .104 .123 .311 .001 .039 .272 .592 .525 .209 .067 .101 .291 946 -2.688 5446 3.063 7.36269 .058366 1.626055 .140381 Correlation Surface at 1046 5446 .000 .085 .467 .525 .312 .207 .254 .220 .280 .039 .035 .509 .652 .532 .282 .253 .270 .299 .136 .005 .466 .698 .766 .356 .251 .336 .327 .215 .001 .358 .633 .941 .420 .254 .426 .389 .224 .007 .229 .480 1.000 .467 .264 .524 .488 .175 .010 .118 .304 .935 .485 .280 .597 .597 .115 .010 .044 .163 .797 .484 .301 .609 .668 .076 .012 .008 .079 .656 .480 .325 .553 .655 .059 .020 .000 .043 .547 .463 .340 .459 .548 r_peak,r_snr = .1308828 5.05369 Correlation Surface of oversamples image at 1046 5446 .344 .552 .671 .729 .729 .599 .321 .077 .000 .297 .514 .686 .814 .845 .675 .335 .068 .000 .242 .453 .664 .858 .932 .738 .347 .061 .001 .189 .377 .607 .860 .987 .786 .359 .057 .002 .140 .295 .523 .819 1.000 .811 .365 .056 .002 .095 .212 .421 .739 .967 .804 .361 .056 .001 .058 .138 .318 .637 .903 .775 .354 .060 .000 .033 .083 .231 .542 .839 .751 .358 .074 .004 .016 .043 .160 .455 .775 .730 .370 .097 .018 1046 -5.969 5446 -9.063 5.05369 .049648 1.911606 -.242678 Correlation Surface at 1146 5446 .410 .652 .691 .738 .801 .775 .693 .485 .436 .433 .693 .742 .800 .875 .778 .691 .515 .460 .474 .721 .784 .850 .942 .766 .660 .531 .480 .522 .728 .812 .884 .987 .734 .610 .525 .485 .567 .716 .827 .904 1.000 .680 .555 .500 .470 .594 .686 .826 .910 .982 .624 .512 .470 .441 .593 .638 .806 .901 .945 .589 .494 .455 .417 .561 .573 .763 .876 .894 .578 .504 .464 .410 .501 .500 .699 .833 .839 .586 .537 .498 .431 r_peak,r_snr = .3628768 2.09652 Correlation Surface of oversamples image at 1146 5446 .735 .765 .790 .846 .934 .957 .824 .649 .546 .734 .788 .828 .885 .960 .960 .806 .620 .519 .726 .805 .862 .919 .980 .956 .785 .593 .494 .713 .816 .889 .948 .994 .950 .766 .570 .473 .695 .819 .909 .969 1.000 .939 .747 .549 .454 .667 .809 .913 .972 .991 .917 .724 .529 .437 .629 .784 .898 .957 .966 .885 .697 .511 .424 .605 .766 .888 .947 .951 .869 .690 .513 .432 1146 7.563 5446 1.781 2.09652 .031030 2.158338 .206697 Correlation Surface at 1246 5446 .181 .352 .763 .732 .676 .374 .136 .031 .001 .325 .450 .750 .799 .779 .361 .120 .041 .001 .506 .601 .744 .847 .905 .385 .114 .052 .000 .652 .743 .732 .846 .993 .424 .108 .058 .004 .701 .807 .702 .786 1.000 .458 .095 .055 .015 .642 .764 .643 .682 .921 .469 .079 .044 .029 .522 .644 .563 .564 .789 .450 .068 .033 .041 .403 .504 .475 .457 .646 .413 .072 .029 .045 .316 .392 .403 .381 .533 .384 .100 .040 .041 r_peak,r_snr = .2257195 4.83328 Correlation Surface of oversamples image at 1246 5446 .790 .904 .924 .914 .842 .636 .382 .200 .103 .773 .879 .924 .947 .896 .682 .400 .199 .100 .752 .847 .913 .970 .946 .732 .426 .205 .101 .728 .807 .889 .978 .984 .781 .458 .215 .103 .695 .756 .846 .961 1.000 .819 .486 .223 .102 .654 .695 .785 .918 .989 .838 .507 .229 .098 .616 .640 .724 .863 .960 .846 .528 .237 .097 .582 .591 .663 .799 .912 .834 .539 .245 .097 .539 .535 .592 .716 .834 .790 .528 .243 .092 1246 -.156 5446 6.344 4.83328 .016935 .887244 -.070468 Correlation Surface at 1346 5446 .009 .034 .197 .540 .789 .615 .380 .113 .001 .010 .043 .234 .584 .875 .659 .362 .092 .002 .010 .053 .271 .634 .952 .693 .347 .081 .003 .009 .060 .301 .676 .996 .720 .345 .080 .001 .008 .061 .318 .700 1.000 .748 .362 .089 .000 .007 .058 .322 .704 .967 .777 .399 .107 .001 .005 .055 .317 .689 .912 .802 .449 .130 .007 .003 .054 .306 .661 .852 .821 .498 .152 .016 .001 .057 .294 .625 .804 .834 .534 .169 .027 r_peak,r_snr = .3216064 4.45879 Correlation Surface of oversamples image at 1346 5446 .339 .488 .680 .871 .941 .854 .689 .497 .320 .354 .506 .695 .885 .961 .880 .705 .496 .308 .369 .525 .711 .897 .979 .904 .723 .500 .301 .382 .543 .728 .908 .992 .926 .744 .509 .300 .393 .559 .741 .914 1.000 .944 .765 .523 .305 .402 .573 .748 .912 .999 .955 .785 .541 .313 .409 .585 .753 .905 .992 .962 .804 .562 .326 .419 .598 .759 .899 .986 .970 .826 .588 .345 .429 .610 .762 .891 .976 .971 .845 .614 .366 1346 .094 5446 1.281 4.45879 .009877 1.675135 -.023790 Correlation Surface at 1446 5446 .062 .002 .000 .077 .501 .271 .112 .182 .377 .070 .000 .016 .201 .684 .321 .071 .111 .280 .074 .001 .046 .367 .855 .350 .038 .046 .153 .065 .000 .058 .512 .972 .349 .018 .008 .054 .042 .000 .050 .571 1.000 .314 .008 .000 .008 .014 .001 .036 .529 .935 .259 .004 .008 .000 .000 .008 .030 .423 .791 .204 .002 .018 .006 .009 .031 .038 .299 .603 .161 .002 .026 .009 .026 .075 .064 .190 .413 .133 .001 .029 .005 r_peak,r_snr = .1920111 5.63994 Correlation Surface of oversamples image at 1446 5446 .009 .066 .285 .637 .801 .631 .323 .114 .042 .020 .105 .368 .742 .890 .676 .323 .091 .020 .029 .139 .440 .828 .953 .696 .307 .067 .005 .033 .164 .497 .892 .990 .693 .281 .045 .000 .034 .178 .533 .928 1.000 .675 .254 .029 .003 .032 .182 .546 .935 .984 .642 .224 .017 .011 .028 .176 .534 .908 .939 .593 .193 .009 .021 .025 .163 .500 .850 .869 .536 .164 .004 .031 .026 .151 .457 .777 .791 .483 .144 .002 .036 1446 -10.188 5446 -6.250 5.63994 .009014 1.039969 .038192 Correlation Surface at 1546 5446 .032 .166 .441 .622 .490 .378 .182 .042 .008 .022 .162 .482 .750 .635 .480 .214 .047 .005 .015 .161 .517 .875 .807 .596 .260 .064 .004 .012 .160 .531 .944 .945 .679 .300 .087 .006 .011 .158 .512 .925 1.000 .707 .318 .112 .013 .011 .149 .460 .827 .958 .676 .312 .129 .025 .011 .131 .389 .685 .845 .603 .283 .134 .041 .012 .108 .315 .547 .709 .517 .248 .132 .056 .014 .084 .256 .443 .592 .449 .225 .130 .066 r_peak,r_snr = .2854032 7.29213 Correlation Surface of oversamples image at 1546 5446 .544 .687 .789 .819 .808 .763 .646 .470 .299 .567 .720 .837 .884 .883 .832 .700 .507 .327 .581 .737 .866 .932 .943 .888 .741 .536 .349 .583 .736 .872 .959 .983 .927 .767 .553 .364 .572 .714 .854 .959 1.000 .943 .775 .556 .369 .548 .674 .811 .932 .989 .934 .763 .544 .364 .511 .619 .748 .878 .951 .903 .734 .521 .350 .468 .554 .672 .808 .896 .861 .698 .494 .333 .420 .488 .591 .728 .829 .808 .657 .464 .313 1546 1.000 5446 .063 7.29213 .028856 .363732 -.034006 Correlation Surface at 1646 5446 .081 .134 .313 .635 .787 .581 .274 .159 .068 .088 .129 .301 .640 .878 .675 .290 .165 .079 .108 .137 .300 .631 .946 .770 .315 .172 .090 .137 .151 .304 .618 .989 .846 .346 .181 .100 .161 .162 .308 .606 1.000 .880 .371 .188 .107 .168 .164 .305 .596 .975 .860 .379 .188 .110 .154 .156 .294 .580 .915 .795 .364 .175 .106 .129 .142 .279 .553 .830 .710 .326 .152 .097 .106 .130 .266 .511 .736 .630 .280 .123 .087 r_peak,r_snr = .4133772 6.71317 Correlation Surface of oversamples image at 1646 5446 .307 .451 .640 .822 .916 .864 .691 .488 .323 .304 .445 .640 .840 .953 .908 .728 .509 .328 .301 .437 .635 .850 .980 .942 .757 .527 .333 .297 .428 .627 .854 .997 .963 .779 .542 .338 .291 .417 .616 .850 1.000 .970 .789 .551 .341 .284 .403 .599 .834 .987 .960 .784 .552 .340 .275 .387 .576 .806 .957 .933 .768 .544 .336 .266 .371 .551 .773 .920 .899 .744 .534 .331 .257 .354 .523 .734 .876 .858 .715 .518 .323 1646 .156 5446 1.906 6.71317 .005817 .793750 -.015843 Correlation Surface at 1746 5446 .236 .311 .150 .210 .505 .107 .036 .281 .248 .145 .294 .153 .248 .693 .131 .069 .325 .274 .067 .265 .176 .292 .859 .168 .083 .320 .273 .021 .218 .208 .343 .969 .209 .071 .275 .241 .003 .157 .223 .375 1.000 .245 .045 .205 .180 .000 .095 .207 .367 .944 .263 .022 .135 .115 .000 .047 .163 .324 .815 .254 .007 .080 .063 .000 .019 .113 .266 .647 .213 .002 .045 .028 .000 .009 .076 .208 .470 .149 .000 .025 .008 r_peak,r_snr = .1789008 9.32313 Correlation Surface of oversamples image at 1746 5446 .108 .133 .305 .606 .765 .508 .115 .013 .245 .119 .156 .353 .688 .858 .568 .128 .013 .254 .127 .178 .395 .753 .933 .618 .142 .012 .249 .135 .200 .429 .797 .981 .652 .153 .009 .233 .138 .217 .450 .814 1.000 .669 .161 .006 .210 .131 .223 .451 .800 .986 .666 .162 .005 .186 .114 .214 .431 .756 .941 .642 .157 .004 .167 .096 .204 .406 .703 .885 .614 .151 .003 .144 .078 .188 .374 .637 .813 .577 .143 .002 .122 1746 -.063 5446 -.938 9.32313 .005880 1.363247 -.014005 Correlation Surface at 1846 5446 .598 .558 .588 .723 .770 .657 .627 .679 .702 .612 .583 .606 .787 .841 .681 .601 .648 .679 .619 .589 .623 .858 .915 .704 .578 .626 .665 .617 .579 .632 .909 .974 .724 .564 .619 .671 .603 .560 .636 .926 1.000 .735 .562 .626 .694 .575 .538 .636 .907 .984 .734 .575 .647 .733 .534 .517 .636 .866 .934 .722 .600 .682 .782 .485 .498 .636 .815 .865 .703 .627 .729 .833 .438 .482 .635 .763 .790 .679 .657 .782 .875 r_peak,r_snr = .5501054 1.60341 Correlation Surface of oversamples image at 1846 5446 .665 .742 .858 .950 .952 .834 .713 .681 .688 .665 .742 .861 .963 .977 .866 .744 .701 .694 .667 .745 .865 .971 .992 .890 .770 .721 .701 .668 .746 .867 .973 .999 .907 .791 .737 .708 .669 .747 .868 .972 1.000 .918 .810 .753 .715 .672 .750 .869 .970 .998 .925 .826 .770 .725 .676 .752 .868 .965 .993 .930 .840 .783 .734 .679 .752 .863 .958 .988 .933 .850 .792 .738 .681 .750 .857 .950 .982 .934 .854 .793 .736 1846 -9.688 5446 -7.750 1.60341 .004743 .205131 -.002200 Correlation Surface at 1946 5446 .031 .000 .095 .018 .611 .176 .055 .164 .071 .039 .000 .052 .047 .740 .206 .052 .212 .123 .037 .000 .026 .091 .859 .206 .067 .240 .151 .023 .000 .014 .136 .952 .177 .103 .251 .151 .005 .001 .011 .160 1.000 .136 .160 .253 .134 .001 .007 .014 .152 .991 .102 .220 .254 .116 .022 .023 .024 .116 .916 .083 .260 .259 .099 .053 .052 .038 .074 .788 .079 .264 .263 .085 .065 .088 .049 .042 .634 .083 .239 .259 .069 r_peak,r_snr = .1439144 8.22671 Correlation Surface of oversamples image at 1946 5446 .019 .004 .154 .573 .876 .550 .066 .067 .357 .014 .007 .175 .619 .932 .584 .070 .071 .371 .012 .008 .181 .635 .957 .602 .071 .075 .384 .011 .008 .181 .644 .984 .635 .080 .069 .377 .011 .007 .173 .637 1.000 .670 .096 .058 .355 .017 .003 .145 .583 .955 .664 .102 .051 .341 .028 .000 .106 .495 .862 .621 .098 .049 .334 .033 .000 .090 .449 .819 .623 .114 .033 .289 1946 .031 5446 1.813 8.22671 .008917 5.667547 .145079 Correlation Surface at 2046 5446 .031 .011 .018 .100 .280 .104 .014 .033 .015 .043 .008 .033 .177 .499 .306 .002 .038 .006 .058 .004 .036 .242 .744 .577 .000 .056 .000 .069 .001 .027 .268 .940 .832 .001 .092 .004 .067 .000 .015 .258 1.000 .969 .001 .138 .010 .046 .001 .008 .234 .890 .927 .000 .166 .007 .015 .002 .007 .217 .669 .729 .000 .139 .000 .000 .008 .011 .218 .451 .475 .000 .063 .026 .005 .025 .020 .237 .302 .263 .003 .004 .117 r_peak,r_snr = .135737 8.78684 Correlation Surface of oversamples image at 2046 5446 .093 .261 .484 .652 .728 .628 .317 .047 .006 .092 .274 .526 .737 .841 .722 .356 .050 .009 .085 .276 .552 .803 .933 .795 .379 .048 .011 .076 .270 .560 .842 .993 .839 .385 .044 .014 .066 .256 .545 .838 1.000 .837 .369 .035 .018 .057 .238 .515 .797 .955 .793 .336 .027 .019 .054 .231 .489 .744 .887 .734 .306 .024 .016 .057 .231 .465 .681 .798 .660 .276 .025 .008 .058 .227 .428 .591 .672 .554 .234 .024 .003 2046 4.563 5446 -10.688 8.78684 .026955 .706199 -.034169 At line = 5800 Reading in data.... Correlation Surface at 346 5846 .027 .006 .047 .177 .530 .236 .113 .383 .216 .022 .010 .078 .231 .687 .413 .106 .334 .239 .024 .014 .112 .284 .842 .589 .076 .253 .254 .040 .008 .111 .312 .961 .688 .042 .171 .259 .075 .000 .066 .298 1.000 .674 .023 .121 .263 .131 .014 .015 .251 .943 .568 .022 .113 .278 .201 .063 .001 .184 .795 .426 .038 .144 .311 .252 .116 .022 .113 .591 .294 .075 .208 .354 .247 .124 .038 .056 .389 .201 .128 .287 .381 r_peak,r_snr = .1544883 8.59864 Correlation Surface of oversamples image at 346 5846 .071 .575 3.104 8.203 .168 .963 3.831 8.870 .317 1.474 4.646 9.446 .688 2.431 6.060 10.669 346 2.875 5846 4.813 8.59864 .013455 1.598407 .012954 Correlation Surface at 446 5846 .303 .399 .520 .835 .520 .143 .012 .067 .119 .275 .496 .613 .955 .729 .277 .034 .055 .189 .225 .569 .678 .956 .889 .431 .067 .052 .271 .170 .590 .687 .847 .981 .566 .098 .061 .342 .126 .542 .626 .679 1.000 .652 .110 .077 .383 .100 .468 .531 .516 .966 .695 .098 .094 .381 .090 .406 .440 .396 .908 .724 .073 .103 .344 .097 .375 .389 .323 .837 .761 .051 .097 .294 .121 .389 .392 .293 .754 .800 .040 .082 .247 r_peak,r_snr = .1757815 4.62081 Correlation Surface of oversamples image at 446 5846 2.038 1.842 2.273 3.070 3.354 2.476 1.247 .560 .425 1.945 1.782 2.272 3.204 3.592 2.662 1.319 .573 .432 1.842 1.694 2.201 3.211 3.682 2.735 1.327 .552 .409 1.891 1.726 2.228 3.298 3.850 2.894 1.414 .587 .436 446 2.469 5846 -2.188 4.62081 .663747 16.191404 -3.215169 Correlation Surface at 546 5846 .038 .124 .556 .750 .595 .552 .345 .144 .151 .045 .134 .573 .832 .711 .611 .346 .149 .170 .056 .144 .560 .880 .843 .679 .363 .176 .204 .071 .154 .517 .870 .951 .740 .390 .219 .251 .088 .166 .457 .797 1.000 .777 .411 .267 .295 .106 .184 .397 .679 .977 .777 .417 .306 .321 .121 .211 .352 .546 .894 .749 .408 .326 .321 .134 .245 .328 .427 .780 .711 .395 .324 .296 .142 .276 .322 .341 .665 .677 .390 .309 .262 r_peak,r_snr = .3437942 5.13512 Correlation Surface of oversamples image at 546 5846 .491 .742 .884 .915 .899 .833 .674 .448 .247 .484 .725 .873 .930 .942 .883 .707 .464 .256 .470 .697 .849 .931 .973 .924 .736 .479 .269 .454 .663 .814 .921 .993 .957 .761 .495 .284 .437 .622 .770 .899 1.000 .977 .778 .510 .300 .416 .576 .718 .864 .989 .981 .784 .518 .313 .396 .530 .661 .818 .964 .971 .781 .523 .324 .381 .490 .610 .773 .934 .954 .775 .527 .335 .370 .454 .562 .726 .897 .930 .766 .530 .343 546 .219 5846 10.219 5.13512 .025472 .489680 -.079214 Correlation Surface at 646 5846 .126 .085 .003 .002 .288 .182 .007 .024 .007 .047 .010 .000 .007 .521 .407 .008 .005 .004 .001 .021 .018 .007 .767 .661 .077 .003 .000 .034 .152 .086 .003 .957 .855 .176 .028 .003 .151 .344 .193 .000 1.000 .898 .223 .051 .011 .299 .501 .281 .001 .861 .756 .171 .048 .011 .411 .583 .308 .005 .598 .493 .071 .026 .004 .440 .587 .279 .012 .324 .228 .009 .007 .000 .395 .523 .230 .021 .131 .058 .005 .000 .002 r_peak,r_snr = .1351043 9.86427 Correlation Surface of oversamples image at 646 5846 .006 .021 .243 .590 .708 .528 .293 .135 .053 .017 .015 .260 .673 .819 .605 .338 .167 .076 .035 .009 .266 .735 .909 .666 .372 .192 .097 .059 .004 .262 .773 .973 .709 .391 .204 .111 .086 .001 .249 .782 1.000 .724 .390 .199 .112 .118 .000 .221 .753 .983 .711 .369 .177 .101 .151 .002 .183 .690 .928 .672 .332 .145 .082 .175 .007 .146 .614 .855 .623 .291 .114 .063 .192 .013 .112 .527 .762 .558 .246 .085 .046 646 .438 5846 .094 9.86427 .007638 .600316 -.004871 Correlation Surface at 746 5846 .001 .111 .121 .342 .654 .519 .176 .015 .002 .001 .037 .092 .430 .781 .524 .145 .031 .000 .002 .010 .078 .498 .913 .587 .133 .061 .012 .000 .005 .072 .511 .996 .671 .125 .092 .053 .001 .009 .067 .470 1.000 .715 .106 .101 .116 .006 .021 .061 .397 .925 .659 .068 .079 .168 .016 .040 .053 .319 .807 .499 .027 .039 .170 .025 .059 .043 .249 .683 .316 .004 .008 .120 .029 .067 .028 .188 .586 .188 .000 .000 .057 r_peak,r_snr = .1562826 5.4313 Correlation Surface of oversamples image at 746 5846 .006 .101 .370 .657 .782 .675 .419 .199 .105 .014 .121 .399 .711 .867 .746 .442 .192 .098 .025 .140 .423 .755 .938 .801 .449 .175 .087 .038 .158 .442 .789 .986 .826 .433 .150 .073 .048 .167 .451 .805 1.000 .810 .389 .115 .056 .051 .162 .440 .795 .972 .744 .314 .072 .034 .047 .148 .419 .765 .909 .640 .225 .033 .015 .039 .131 .396 .732 .832 .525 .143 .008 .003 .029 .108 .363 .685 .738 .407 .076 .000 .000 746 -.469 5846 6.906 5.43130 .026500 2.374308 -.106003 Correlation Surface at 846 5846 .558 .645 .702 .757 .826 .839 .800 .662 .537 .559 .624 .669 .748 .869 .873 .795 .650 .541 .577 .627 .661 .760 .923 .898 .782 .638 .544 .603 .650 .676 .791 .971 .903 .765 .636 .551 .625 .681 .707 .836 1.000 .879 .750 .650 .567 .631 .702 .743 .885 .998 .832 .742 .683 .593 .617 .698 .772 .919 .961 .779 .744 .728 .625 .584 .668 .782 .923 .898 .732 .754 .773 .656 .544 .622 .772 .892 .823 .701 .769 .808 .686 r_peak,r_snr = .5623378 1.99016 Correlation Surface of oversamples image at 846 5846 .711 .752 .808 .890 .960 .963 .891 .775 .666 .709 .754 .817 .907 .978 .973 .891 .770 .660 .708 .758 .828 .923 .991 .975 .882 .759 .652 .708 .765 .842 .938 .999 .969 .867 .745 .645 .709 .774 .856 .951 1.000 .953 .844 .728 .638 .710 .782 .869 .957 .990 .927 .814 .707 .631 .709 .790 .878 .957 .971 .892 .778 .685 .625 .709 .799 .887 .953 .946 .854 .743 .665 .623 .709 .808 .894 .944 .916 .814 .711 .649 .624 846 .063 5846 .719 1.99016 .019662 .526873 .085271 Correlation Surface at 946 5846 .011 .018 .185 .156 .187 .080 .003 .008 .020 .000 .046 .212 .286 .390 .149 .002 .021 .036 .023 .096 .199 .390 .651 .252 .002 .045 .073 .069 .145 .137 .409 .883 .365 .004 .084 .140 .109 .166 .055 .349 1.000 .433 .010 .142 .239 .129 .156 .006 .251 .992 .436 .026 .222 .368 .127 .122 .006 .149 .854 .366 .054 .319 .513 .118 .085 .037 .068 .619 .239 .093 .416 .652 .118 .058 .072 .016 .353 .108 .145 .493 .746 r_peak,r_snr = .112736 7.45443 Correlation Surface of oversamples image at 946 5846 .065 .174 .358 .563 .689 .594 .276 .040 .004 .048 .156 .378 .648 .810 .677 .301 .043 .004 .030 .129 .381 .714 .915 .748 .319 .043 .005 .014 .097 .363 .746 .980 .789 .324 .038 .009 .004 .066 .327 .740 1.000 .801 .318 .030 .017 .000 .043 .291 .715 .995 .801 .315 .025 .025 .001 .027 .251 .670 .956 .778 .305 .020 .037 .006 .012 .197 .581 .853 .696 .266 .011 .058 .018 .003 .137 .460 .701 .573 .207 .003 .093 946 9.063 5846 3.938 7.45443 .028685 2.061157 -.144990 Correlation Surface at 1046 5846 .297 .058 .028 .065 .232 .304 .076 .012 .220 .210 .042 .039 .139 .439 .481 .142 .002 .113 .154 .039 .064 .236 .691 .686 .221 .029 .045 .133 .048 .099 .322 .902 .833 .272 .052 .017 .134 .070 .132 .364 1.000 .853 .262 .040 .014 .143 .095 .144 .346 .965 .743 .204 .014 .026 .136 .110 .125 .286 .851 .567 .136 .001 .054 .100 .096 .093 .226 .740 .412 .084 .001 .086 .047 .065 .069 .196 .700 .325 .057 .002 .103 r_peak,r_snr = .1633646 7.13243 Correlation Surface of oversamples image at 1046 5846 .121 .656 1.989 3.428 3.759 3.064 2.264 1.758 1.310 .072 .501 1.777 3.274 3.643 2.896 2.044 1.529 1.126 .030 .342 1.504 3.020 3.463 2.725 1.849 1.322 .950 .026 .294 1.419 3.017 3.585 2.868 1.929 1.338 .951 1046 -.031 5846 -.188 7.13243 .020913 .753052 .032016 Correlation Surface at 1146 5846 .311 .160 .287 .655 .701 .494 .432 .206 .017 .229 .149 .286 .677 .845 .659 .381 .149 .016 .153 .126 .252 .642 .942 .810 .340 .118 .020 .103 .107 .215 .600 .989 .897 .311 .110 .026 .073 .092 .198 .597 1.000 .893 .299 .122 .033 .054 .085 .202 .649 .983 .806 .298 .142 .039 .040 .078 .218 .739 .944 .669 .295 .156 .042 .032 .072 .236 .830 .882 .527 .284 .152 .042 .027 .069 .245 .866 .779 .402 .258 .121 .039 r_peak,r_snr = .1856288 5.56312 Correlation Surface of oversamples image at 1146 5846 .392 .676 1.176 2.033 3.056 3.571 3.289 2.741 2.154 .386 .679 1.234 2.217 3.341 3.745 3.205 2.467 1.858 .353 .647 1.250 2.342 3.540 3.810 3.032 2.148 1.548 .353 .660 1.326 2.538 3.801 3.928 2.932 1.930 1.344 1146 8.250 5846 7.813 5.56312 .122219 15.602833 1.153119 Correlation Surface at 1246 5846 .003 .005 .011 .259 .517 .181 .002 .003 .045 .001 .004 .013 .340 .679 .232 .003 .001 .041 .000 .001 .023 .434 .841 .288 .002 .001 .027 .001 .001 .046 .525 .962 .352 .000 .006 .010 .005 .008 .083 .590 1.000 .404 .000 .018 .001 .014 .020 .125 .611 .942 .416 .004 .030 .002 .027 .032 .159 .584 .812 .373 .009 .040 .011 .045 .041 .172 .524 .652 .290 .009 .049 .023 .068 .049 .167 .446 .500 .200 .005 .058 .033 r_peak,r_snr = .1995085 6.60808 Correlation Surface of oversamples image at 1246 5846 .037 .155 .408 .708 .823 .604 .227 .018 .010 .055 .192 .469 .781 .890 .653 .254 .024 .007 .080 .237 .534 .851 .946 .692 .277 .031 .005 .111 .285 .598 .911 .985 .718 .295 .038 .003 .143 .328 .647 .948 1.000 .724 .305 .044 .002 .173 .361 .676 .959 .986 .707 .303 .048 .001 .200 .386 .691 .952 .955 .676 .291 .048 .001 .222 .402 .692 .929 .911 .633 .272 .046 .001 .230 .398 .667 .878 .842 .573 .241 .039 .001 1246 -9.188 5846 -10.344 6.60808 .008823 .873659 .001879 Correlation Surface at 1346 5846 .092 .301 .470 .825 .871 .661 .391 .285 .285 .098 .297 .473 .842 .926 .693 .418 .280 .283 .116 .311 .488 .845 .971 .746 .475 .303 .305 .142 .331 .507 .825 .999 .812 .553 .347 .338 .173 .350 .519 .776 1.000 .873 .632 .406 .378 .206 .364 .516 .700 .963 .903 .687 .466 .414 .234 .372 .498 .614 .897 .898 .710 .515 .438 .252 .375 .471 .534 .823 .869 .703 .539 .442 .255 .374 .446 .478 .760 .838 .682 .534 .425 r_peak,r_snr = .3989484 3.71686 Correlation Surface of oversamples image at 1346 5846 .476 .627 .846 .967 .954 .865 .742 .589 .433 .471 .624 .850 .981 .970 .876 .756 .610 .453 .469 .623 .854 .993 .986 .891 .774 .636 .481 .469 .622 .853 .999 .999 .905 .791 .662 .510 .468 .616 .842 .993 1.000 .910 .800 .680 .535 .465 .605 .823 .975 .993 .910 .805 .694 .557 .463 .593 .799 .952 .982 .908 .808 .705 .578 .462 .579 .770 .923 .966 .903 .809 .712 .594 .461 .562 .736 .887 .942 .891 .804 .713 .606 1346 .750 5846 7.219 3.71686 .056601 1.461483 -.255654 Correlation Surface at 1446 5846 .374 .521 .561 .449 .462 .318 .185 .193 .088 .422 .598 .649 .549 .633 .431 .215 .177 .078 .464 .681 .758 .667 .808 .543 .238 .145 .068 .487 .750 .858 .774 .947 .627 .249 .110 .060 .482 .779 .911 .839 1.000 .661 .249 .084 .059 .450 .754 .891 .844 .948 .642 .247 .075 .067 .399 .685 .811 .791 .813 .587 .252 .081 .083 .340 .597 .707 .700 .644 .517 .267 .102 .108 .287 .519 .617 .594 .485 .448 .287 .135 .141 r_peak,r_snr = .2921383 3.49089 Correlation Surface of oversamples image at 1446 5846 .712 .838 .899 .856 .749 .656 .647 .723 .733 .860 .936 .909 .810 .716 .703 .774 .744 .869 .962 .954 .863 .768 .748 .809 .742 .866 .975 .986 .905 .809 .779 .824 .729 .849 .971 1.000 .929 .834 .793 .815 .704 .820 .951 .996 .935 .842 .790 .787 .676 .786 .924 .980 .929 .840 .778 .749 .643 .746 .887 .951 .909 .827 .756 .702 .600 .697 .838 .906 .870 .795 .718 .641 1446 -.750 5846 -10.625 3.49089 .014396 .274000 .008708 Correlation Surface at 1546 5846 .026 .052 .223 .586 .837 .812 .638 .366 .188 .037 .051 .234 .658 .883 .779 .579 .306 .169 .052 .058 .255 .731 .938 .757 .523 .253 .150 .069 .073 .278 .779 .983 .741 .478 .215 .137 .083 .092 .295 .782 1.000 .727 .441 .191 .129 .089 .113 .300 .740 .983 .712 .412 .176 .124 .085 .129 .292 .673 .942 .699 .392 .170 .118 .074 .135 .276 .601 .891 .694 .382 .169 .112 .060 .130 .256 .535 .840 .701 .380 .174 .107 r_peak,r_snr = .4323538 5.42147 Correlation Surface of oversamples image at 1546 5846 1.928 2.697 3.465 3.995 4.000 3.427 2.468 1.477 .763 2.003 2.766 3.492 3.971 3.933 3.329 2.353 1.367 .681 2.098 2.850 3.519 3.928 3.833 3.199 2.218 1.253 .604 2.221 2.962 3.561 3.878 3.715 3.054 2.083 1.154 .544 2.347 3.077 3.593 3.802 3.563 2.882 1.935 1.057 .492 1546 .750 5846 -2.781 5.42147 .005498 .740223 -.003925 Correlation Surface at 1646 5846 .530 .573 .684 .859 .885 .730 .647 .560 .514 .532 .577 .682 .877 .927 .733 .617 .538 .511 .541 .590 .687 .888 .969 .762 .607 .522 .504 .558 .609 .696 .887 .997 .809 .619 .513 .496 .583 .625 .704 .876 1.000 .859 .647 .509 .491 .609 .633 .708 .859 .979 .895 .681 .505 .488 .632 .629 .706 .838 .945 .904 .709 .501 .485 .643 .619 .699 .814 .908 .883 .722 .493 .480 .639 .607 .688 .790 .876 .841 .717 .484 .472 r_peak,r_snr = .6447546 2.04183 Correlation Surface of oversamples image at 1646 5846 .780 .840 .904 .944 .934 .897 .840 .746 .657 .785 .846 .915 .963 .963 .932 .872 .769 .669 .786 .849 .922 .976 .985 .961 .899 .788 .680 .786 .850 .925 .982 .996 .979 .918 .803 .689 .788 .853 .928 .983 1.000 .987 .928 .811 .694 .793 .858 .930 .979 .995 .985 .929 .814 .696 .795 .859 .925 .966 .977 .968 .917 .807 .692 .793 .856 .915 .944 .947 .938 .892 .789 .680 .800 .861 .912 .929 .922 .910 .868 .774 .671 1646 .500 5846 11.750 2.04183 .009304 .374019 -.044924 Correlation Surface at 1746 5846 .038 .176 .045 .038 .249 .046 .320 .330 .035 .039 .199 .101 .111 .545 .172 .433 .503 .075 .031 .186 .167 .193 .800 .350 .512 .614 .120 .021 .162 .241 .269 .944 .525 .527 .603 .141 .011 .133 .302 .331 1.000 .656 .487 .478 .109 .003 .099 .317 .353 .989 .724 .439 .317 .047 .000 .072 .291 .327 .928 .740 .415 .185 .004 .003 .058 .240 .264 .815 .713 .421 .100 .007 .008 .052 .178 .181 .635 .635 .452 .051 .046 r_peak,r_snr = .1240498 7.81973 Correlation Surface of oversamples image at 1746 5846 .176 .079 .153 .461 .731 .572 .310 .247 .360 .243 .131 .215 .554 .862 .705 .409 .316 .416 .314 .191 .275 .626 .954 .815 .507 .389 .468 .387 .256 .328 .666 .997 .889 .593 .457 .507 .460 .322 .372 .682 1.000 .930 .666 .520 .537 .530 .385 .411 .687 .984 .952 .731 .579 .562 .588 .438 .439 .678 .951 .953 .780 .630 .579 .624 .468 .444 .646 .893 .929 .805 .662 .580 .633 .469 .427 .598 .824 .889 .813 .680 .572 1746 2.188 5846 .219 7.81973 .024279 5.476177 -.118513 Correlation Surface at 1846 5846 .061 .031 .066 .217 .571 .684 .515 .275 .181 .065 .039 .075 .260 .686 .749 .548 .290 .169 .064 .050 .092 .311 .819 .825 .579 .322 .191 .057 .061 .114 .357 .940 .887 .593 .365 .244 .044 .068 .134 .381 1.000 .904 .579 .406 .319 .032 .073 .146 .376 .962 .856 .531 .426 .392 .026 .077 .150 .346 .832 .750 .460 .416 .437 .028 .087 .149 .301 .658 .615 .391 .380 .438 .041 .105 .147 .256 .493 .486 .342 .335 .408 r_peak,r_snr = .292856 4.39965 Correlation Surface of oversamples image at 1846 5846 .166 .302 .497 .700 .806 .793 .731 .659 .574 .188 .333 .546 .767 .872 .837 .758 .684 .602 .213 .364 .591 .827 .929 .873 .776 .698 .620 .241 .394 .631 .878 .975 .898 .783 .702 .630 .268 .419 .658 .908 1.000 .905 .776 .693 .628 .290 .435 .666 .910 .995 .887 .748 .665 .609 .305 .439 .656 .887 .965 .848 .703 .622 .577 .314 .436 .634 .848 .918 .798 .651 .574 .541 .315 .423 .598 .790 .854 .737 .593 .524 .504 1846 -.563 5846 9.188 4.39965 .006687 .312900 .006525 Correlation Surface at 2046 5846 .142 .048 .001 .314 .512 .439 .533 .354 .288 .115 .029 .011 .421 .656 .517 .494 .312 .342 .070 .016 .023 .513 .801 .567 .426 .272 .408 .029 .007 .033 .569 .925 .575 .330 .238 .491 .006 .003 .036 .571 1.000 .547 .234 .217 .582 .000 .002 .031 .502 .971 .486 .161 .216 .653 .004 .003 .017 .365 .818 .409 .123 .234 .674 .010 .006 .004 .204 .577 .336 .119 .265 .637 r_peak,r_snr = .1789047 7.66206 Correlation Surface of oversamples image at 2046 5846 .005 .042 .337 .696 .730 .573 .451 .339 .199 .002 .049 .357 .755 .819 .632 .440 .283 .147 .000 .054 .374 .810 .911 .692 .425 .229 .103 .000 .054 .374 .840 .983 .742 .406 .178 .066 .000 .044 .341 .813 1.000 .754 .371 .129 .037 .002 .028 .283 .737 .960 .727 .326 .088 .017 .007 .013 .219 .640 .891 .687 .290 .063 .008 .018 .002 .145 .513 .781 .624 .257 .049 .004 .045 .003 .065 .346 .606 .514 .211 .035 .002 2046 -3.063 5846 11.344 7.66206 .014579 .972180 .008213 << Amplitude Cross Correlation >> At line = 3000 Reading in data.... r_peak,r_snr = .5180613 8.12747 146 .031 3046 .656 8.12747 .001020 .094833 -.000733 r_peak,r_snr = .1799139 8.98875 246 .031 3046 -1.781 8.98875 .011381 2.546714 -.020504 r_peak,r_snr = .3994453 39.53412 346 .000 3046 -.531 39.53413 .001020 .023182 -.000550 r_peak,r_snr = .2975676 10.60313 446 .188 3046 .844 10.60313 .004702 .218624 -.014562 r_peak,r_snr = .48357 9.47289 546 .094 3046 .000 9.47289 .001416 .053322 -.000850 r_peak,r_snr = .5818085 1.51092 646 .781 3046 10.750 1.51092 .008833 .524176 .013183 r_peak,r_snr = .5846821 10.3628 746 .125 3046 -.219 10.36280 .000850 .435399 .001974 r_peak,r_snr = .1876702 5.50178 846 4.156 3046 -7.688 5.50178 .025275 .341152 -.021280 r_peak,r_snr = .2579563 2.95825 946 10.188 3046 -7.375 2.95825 .028911 2.554590 -.198133 r_peak,r_snr = .1550019 6.59034 1046 .531 3046 -2.750 6.59034 .013758 .578147 .024564 r_peak,r_snr = 9.67614E-02 7.59517 1246 1.156 3046 -9.250 7.59517 .040440 3.126277 -.266981 r_peak,r_snr = .4380301 3.06537 1346 -.094 3046 -11.250 3.06537 .005639 .889119 -.039262 r_peak,r_snr = .1966117 8.44808 1446 .156 3046 5.813 8.44808 .005543 8.635005 -.132952 r_peak,r_snr = .228616 6.74023 1546 -.281 3046 1.188 6.74023 .025461 1.027164 -.068823 r_peak,r_snr = .1400488 5.92598 1646 2.000 3046 14.063 5.92598 .034473 1.104570 -.039274 r_peak,r_snr = .4390598 5.39249 1746 .250 3046 .063 5.39249 .003517 .122784 -.004868 r_peak,r_snr = .3309002 5.42593 1946 .250 3046 .344 5.42593 .006569 .351367 -.010306 r_peak,r_snr = .3386119 8.9683 2046 .000 3046 .188 8.96830 .002725 .145082 .000458 At line = 3400 Reading in data.... r_peak,r_snr = .4664899 11.88766 146 -.094 3446 -.781 11.88766 .000997 .751842 .003639 r_peak,r_snr = .1890388 12.48549 246 .125 3446 .938 12.48549 .017018 1.103632 -.111691 r_peak,r_snr = .215442 13.4728 346 -.344 3446 -3.750 13.47280 .009871 2.974252 -.132907 r_peak,r_snr = .2168385 4.97049 446 .906 3446 1.813 4.97049 .018204 1.518607 -.121261 r_peak,r_snr = .3154834 11.49102 546 .063 3446 -.906 11.49103 .003286 .198106 -.010813 r_peak,r_snr = .245107 19.52702 646 -.094 3446 -.344 19.52702 .003047 .068212 -.001973 r_peak,r_snr = .5859439 5.57348 746 .000 3446 1.250 5.57348 .001284 .181117 .004940 r_peak,r_snr = .2456638 3.32545 846 2.656 3446 -7.750 3.32545 .059335 5.978218 -.267236 r_peak,r_snr = .2237017 11.29738 946 -.188 3446 -.406 11.29738 .006758 .355760 .019328 r_peak,r_snr = .3132992 6.99987 1046 -8.031 3446 -6.750 6.99987 .022080 .881792 .104779 r_peak,r_snr = .2243886 11.05669 1146 -.875 3446 1.813 11.05669 .008651 .765507 .023907 r_peak,r_snr = .3000269 4.83367 1246 -.188 3446 .938 4.83367 .005906 .183722 .001956 r_peak,r_snr = .2369281 4.81638 1346 -16.219 3446 2.969 4.81638 .032100 5.606560 -.158352 r_peak,r_snr = .1305271 9.09206 1546 -3.875 3446 -3.813 9.09206 .010737 1.010954 .019776 r_peak,r_snr = .1170484 8.25819 1646 1.813 3446 9.563 8.25819 .013654 .718507 -.045132 r_peak,r_snr = .1670093 6.16705 1746 -7.156 3446 -4.563 6.16705 .014990 1.106222 -.012100 r_peak,r_snr = .5574676 3.99961 1846 -.906 3446 -4.781 3.99961 .007444 1.070900 -.028987 r_peak,r_snr = .2652077 5.06226 1946 -.156 3446 8.781 5.06226 .020890 2.642895 -.092805 r_peak,r_snr = .1374858 4.967 2046 -8.250 3446 3.500 4.96700 .102001 .968382 -.167364 At line = 3800 Reading in data.... r_peak,r_snr = .3766313 6.00578 146 .219 3846 -.563 6.00578 .005086 .532128 -.020536 r_peak,r_snr = .2602053 7.10493 246 -.219 3846 1.594 7.10493 .005906 .251996 .007198 r_peak,r_snr = .2575611 5.26615 346 -.313 3846 -5.625 5.26615 .035702 1.034626 .147870 r_peak,r_snr = .1002271 5.32753 446 3.938 3846 -1.250 5.32753 .212690 3.461705 -.783268 r_peak,r_snr = .5902639 5.60426 546 -.219 3846 .219 5.60426 .002064 .120659 -.005732 r_peak,r_snr = .4203532 1.88766 646 .188 3846 6.219 1.88766 .021419 2.805281 -.178429 r_peak,r_snr = .4643497 10.97962 746 .156 3846 -.219 10.97962 .001402 .085777 -.000136 r_peak,r_snr = .1835925 7.57655 846 -1.219 3846 -.188 7.57655 .012488 .918916 .005990 r_peak,r_snr = .158869 5.52534 946 5.344 3846 -6.719 5.52534 .010760 .760705 .010585 r_peak,r_snr = .2840541 8.85858 1046 -1.875 3846 -1.719 8.85858 .006456 .473673 -.013733 r_peak,r_snr = .1016498 2.17648 1146 -3.469 3846 4.781 2.17648 .024099 1.010629 -.007714 r_peak,r_snr = .2654678 8.04597 1346 .094 3846 .250 8.04597 .004583 .328993 .006480 r_peak,r_snr = .1556699 7.67884 1446 1.344 3846 14.719 7.67884 .011924 1.049541 .020185 r_peak,r_snr = .320555 1.95547 1546 -9.781 3846 -7.781 1.95547 .093227 .485197 -.007357 r_peak,r_snr = .1124116 5.30966 1646 .094 3846 .813 5.30966 .052716 .958772 .010691 r_peak,r_snr = .2040421 4.36682 1746 -13.344 3846 -2.313 4.36682 .011476 1.365682 .011943 r_peak,r_snr = .3334036 3.88302 1846 -5.938 3846 7.313 3.88302 .015098 .670360 .061359 r_peak,r_snr = .3790415 3.80264 2046 -.313 3846 -9.875 3.80264 .007252 1.999020 -.008897 At line = 4200 Reading in data.... r_peak,r_snr = .3527194 10.82461 146 .219 4246 -1.469 10.82462 .002315 .716214 -.012372 r_peak,r_snr = .3037356 5.67387 246 -.063 4246 1.531 5.67387 .004576 .980602 .001213 r_peak,r_snr = .2416791 12.98401 346 -.281 4246 -.906 12.98401 .003318 .292148 -.004539 r_peak,r_snr = .1871167 18.74681 446 -.125 4246 .188 18.74682 .003064 .286554 -.000554 r_peak,r_snr = .4169791 5.18678 546 -.844 4246 -6.219 5.18678 .004125 2.087339 .030940 r_peak,r_snr = .4760445 1.74186 646 .156 4246 1.219 1.74186 .016135 .576991 -.018181 r_peak,r_snr = .312191 28.98107 746 -.125 4246 -.031 28.98107 .001838 .062451 -.000520 r_peak,r_snr = .3619704 11.43779 846 .281 4246 -14.281 11.43779 .003892 .412223 -.011002 r_peak,r_snr = .3043053 11.68589 946 -.094 4246 .313 11.68590 .005292 .332658 -.016598 r_peak,r_snr = .2873687 3.20584 1046 -.094 4246 -1.188 3.20584 .016567 1.412984 .115885 r_peak,r_snr = .1872016 12.79776 1146 .031 4246 -1.250 12.79777 .005281 .284360 -.008468 r_peak,r_snr = .4346393 12.49014 1346 .219 4246 .031 12.49015 .001552 .131890 -.000397 r_peak,r_snr = .1344013 6.24157 1446 -5.188 4246 9.844 6.24157 .025591 2.623904 .136685 r_peak,r_snr = .3744275 3.04782 1546 .938 4246 3.813 3.04782 .009253 .423124 -.040131 r_peak,r_snr = .1082074 7.54825 1646 8.875 4246 -1.500 7.54825 .012530 .865239 -.023051 r_peak,r_snr = .1721447 5.35645 1746 -10.875 4246 -4.719 5.35645 .067346 20.222633 1.046678 r_peak,r_snr = 9.77751E-02 .7303408 1846 -3.469 4246 -.281 .73034 .007103 1.522262 .022924 r_peak,r_snr = .342626 11.11653 1946 .063 4246 -1.094 11.11653 .002666 .318949 .009203 r_peak,r_snr = .3178071 6.7317 2046 -.094 4246 -.250 6.73170 .006469 .236347 -.010682 At line = 4600 Reading in data.... r_peak,r_snr = .4822002 6.66989 146 .094 4646 -.188 6.66989 .002006 .142689 .002896 r_peak,r_snr = .2098362 11.09099 246 .156 4646 -.813 11.09100 .003885 .173097 -.004971 r_peak,r_snr = .2251689 8.83315 346 .031 4646 1.250 8.83315 .003044 .304277 -.003742 r_peak,r_snr = .3470378 16.15851 446 .156 4646 .250 16.15852 .001767 .069709 -.000600 r_peak,r_snr = .4417058 7.16669 546 .031 4646 -.688 7.16669 .002331 .118301 -.002730 r_peak,r_snr = .3463371 2.20478 646 -.344 4646 10.156 2.20478 .026146 1.227160 -.069198 r_peak,r_snr = .3887344 15.67114 746 -.094 4646 -.031 15.67114 .001594 .061756 -.003096 r_peak,r_snr = .1417939 11.0427 846 -.188 4646 1.500 11.04270 .017925 .467792 -.029874 r_peak,r_snr = .1748357 6.10423 946 -1.844 4646 -5.750 6.10423 2.255509 29.853456 -8.142422 r_peak,r_snr = .1636949 8.06172 1046 .031 4646 -1.188 8.06172 .007076 .840641 -.021842 r_peak,r_snr = 6.42138E-02 .9485203 1246 4.063 4646 -3.938 .94852 .008902 1.374921 .040939 r_peak,r_snr = .3398473 5.36951 1346 -1.344 4646 -6.875 5.36951 .016689 2.002468 .088295 r_peak,r_snr = .2411772 9.72083 1446 .219 4646 .813 9.72083 .003435 .782763 -.023158 r_peak,r_snr = .1455164 8.32787 1546 .531 4646 .250 8.32787 .025192 1.594080 -.119627 r_peak,r_snr = .1304053 7.30465 1646 -9.813 4646 -10.844 7.30465 .021179 6.358619 .212861 r_peak,r_snr = .2312183 3.39397 1746 3.969 4646 -4.281 3.39397 .022098 .511520 -.016743 r_peak,r_snr = .3879817 8.34861 1846 .031 4646 .219 8.34861 .002192 .267703 .001210 r_peak,r_snr = .2254534 5.49962 1946 -.875 4646 6.906 5.49962 .007592 1.708896 -.062060 r_peak,r_snr = .2328256 13.10175 2046 .125 4646 -.719 13.10175 .004242 .506786 -.022436 At line = 5000 Reading in data.... r_peak,r_snr = .5656639 5.72134 146 .156 5046 .625 5.72134 .001199 .058608 -.000939 r_peak,r_snr = .1876221 13.42755 246 .000 5046 .219 13.42756 .006275 .898616 .000315 r_peak,r_snr = .5979033 2.77273 346 -.063 5046 -.219 2.77273 .001476 .049650 -.001108 r_peak,r_snr = .3298875 32.33086 446 -.063 5046 -.125 32.33086 .001748 .052317 -.003392 r_peak,r_snr = .2943398 8.18187 546 .094 5046 .500 8.18187 .008153 .689973 .039080 r_peak,r_snr = .5551397 3.26222 646 -1.969 5046 -1.156 3.26222 .045224 .855576 .117063 r_peak,r_snr = .3697702 24.46753 746 .031 5046 .281 24.46754 .001278 .042965 -.000145 r_peak,r_snr = .2317707 6.18995 846 .219 5046 .063 6.18995 .010253 .400405 .023272 r_peak,r_snr = .271279 14.09097 946 -.125 5046 1.625 14.09097 .003389 .495542 .010784 r_peak,r_snr = .1453839 6.28654 1046 .031 5046 .250 6.28654 .028627 2.050535 .164831 r_peak,r_snr = .1277794 8.56331 1146 .031 5046 .094 8.56331 .009688 .576267 -.010865 r_peak,r_snr = .1791933 8.11695 1246 .000 5046 -.156 8.11695 .004689 .452929 -.000557 r_peak,r_snr = .4150962 5.09335 1346 -.250 5046 .844 5.09335 .002999 .235896 -.000971 r_peak,r_snr = .2275611 4.07725 1446 .313 5046 1.000 4.07725 .004135 .242936 -.004834 r_peak,r_snr = .1403155 9.51415 1546 -8.938 5046 14.719 9.51415 .015912 1.133717 .062949 r_peak,r_snr = .2342725 8.8032 1646 -.344 5046 -3.750 8.80320 .011817 1.117711 -.021911 r_peak,r_snr = .2206903 10.85619 1746 .031 5046 1.125 10.85620 .007129 .660445 -.041876 r_peak,r_snr = .2827942 7.11047 1846 -.125 5046 .594 7.11047 .002751 .174565 .004393 r_peak,r_snr = .3544329 11.66543 1946 -.188 5046 .219 11.66544 .002604 .368536 -.015696 r_peak,r_snr = .1900588 8.2379 2046 -.469 5046 -14.750 8.23790 .031009 .734743 .078016 At line = 5400 Reading in data.... r_peak,r_snr = .5144332 17.43435 146 .094 5446 1.094 17.43435 .000880 .037038 .000201 r_peak,r_snr = .1934368 15.69808 246 .125 5446 1.031 15.69808 .007477 .719746 .015663 r_peak,r_snr = .3276655 30.47121 346 .063 5446 -.469 30.47122 .001595 .068689 -.002322 r_peak,r_snr = .4374558 6.1471 446 .063 5446 .031 6.14710 .001520 .036866 -.001138 r_peak,r_snr = .4420347 4.59507 546 .094 5446 -6.750 4.59507 .003844 .748317 -.031096 r_peak,r_snr = .5818809 1.79246 646 -.438 5446 1.219 1.79246 .048987 .658423 .131168 r_peak,r_snr = .1573819 7.76601 746 .750 5446 3.813 7.76601 .009551 1.583519 -.062075 r_peak,r_snr = .443708 3.47786 846 .000 5446 8.313 3.47786 .006318 .925704 .011969 r_peak,r_snr = .1476747 10.09232 946 -.375 5446 -.156 10.09233 .011561 .921888 -.064461 r_peak,r_snr = .2355058 3.17045 1246 -9.375 5446 -7.219 3.17045 .036395 4.800450 .139204 r_peak,r_snr = .4470937 5.91243 1346 -.531 5446 -.219 5.91243 .004088 1.666093 -.048147 r_peak,r_snr = 8.24527E-02 3.4746 1446 -11.281 5446 -4.281 3.47460 .086610 11.394199 .744739 r_peak,r_snr = .2189898 5.66156 1546 .063 5446 1.281 5.66156 .011954 .566807 -.035020 r_peak,r_snr = .4266938 6.38498 1646 .031 5446 .219 6.38498 .003079 .213865 -.011962 r_peak,r_snr = .1148609 9.70215 1746 -9.000 5446 5.281 9.70215 .017742 .600318 .021174 r_peak,r_snr = .5259628 3.97573 1846 -.188 5446 1.031 3.97573 .002883 .123288 -.006933 r_peak,r_snr = .3153722 22.77075 1946 .125 5446 .406 22.77076 .001860 .129158 .002049 r_peak,r_snr = .2717619 20.97293 2046 -.094 5446 1.188 20.97294 .003890 .113476 -.005353 At line = 5800 Reading in data.... r_peak,r_snr = .596664 6.86368 146 .063 5846 -1.906 6.86368 .001340 .099584 -.000149 r_peak,r_snr = .3153663 12.89093 246 .031 5846 .844 12.89094 .003418 1.096524 -.037832 r_peak,r_snr = .2254909 11.68331 346 .031 5846 -.125 11.68331 .002313 .119492 .002509 r_peak,r_snr = .250488 11.00524 446 .031 5846 -.719 11.00525 .005549 .280505 -.003829 r_peak,r_snr = .3960398 8.22899 546 -.063 5846 -.563 8.22899 .003390 .269675 -.013068 r_peak,r_snr = .14865 12.9201 646 .063 5846 -.313 12.92010 .005350 .149034 -.000773 r_peak,r_snr = .1234781 7.29584 746 3.563 5846 -12.125 7.29584 .021929 .668867 -.035482 r_peak,r_snr = .5061929 2.65646 846 .188 5846 -.219 2.65646 .004589 .120537 -.000903 r_peak,r_snr = .1901745 8.2201 946 10.500 5846 -2.813 8.22010 .011569 1.088858 -.063602 r_peak,r_snr = .2203911 10.85638 1046 .031 5846 .906 10.85638 .006185 .837256 -.022935 r_peak,r_snr = .2004396 5.5159 1146 2.344 5846 -5.813 5.51590 .070599 1.522117 -.276421 r_peak,r_snr = .4417377 11.35527 1246 -.031 5846 1.094 11.35528 .001786 .431904 -.011567 r_peak,r_snr = .4255211 4.08155 1346 -.813 5846 -2.750 4.08155 .004641 .336828 -.019278 r_peak,r_snr = .2351882 6.19226 1446 .031 5846 .156 6.19226 .004450 .488019 .015276 r_peak,r_snr = .402987 8.96512 1546 .094 5846 -1.781 8.96512 .002027 .780983 -.005175 r_peak,r_snr = .1646029 3.58601 1946 -13.219 5846 17.813 3.58601 .025836 1.715974 .099118 r_peak,r_snr = .1936727 11.55412 2046 -.313 5846 1.406 11.55412 .005640 .325879 -.024289 ************************************************* ***** 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 94049 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 94049 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 94049 FOUND CALIB SET 94049 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: 27.79999 -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: 27.80 deg Receiver phase difference is 3.10 deg Transmitter phase difference is 30.90 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 Sat May 2 01:39:31 PDT 1998