Reduction started at: 20071010-142904 Reading data from rxh3-20071010-133707.fits Reduction ID: default Read keywords into global array holo_keys Read binary table data into global array holo_data Finished reading data Converted positions to arcsec, times to elapsed seconds, and reversed x-axis Pattern extent: min = 2402.6 max = 2427.2 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.500 mm ----------------- Data Summary --------------------- Number of samples: 370025 This is a 80 GHz map Number of frequencies: 16 Frequencies (GHz): 80.344000 80.345000 80.346000 80.348000 80.350000 80.351000 80.352000 80.354000 80.356000 80.357000 80.358000 80.360000 80.362000 80.363000 80.364000 80.366000 item min max mean loreal -3.29346 3.30078 0.02115 loimag -3.45459 3.21777 -0.06818 hireal -5.00000 4.99756 1.04011 hiimag -5.00000 4.99756 -0.22397 xpos -2427.17926 2420.52283 -6.82200 ypos -2402.61099 2402.90880 0.00226 plock160 1.28906 2.43896 1.91722 lorefpwr 0.27588 1.75293 1.23930 losigpwr -4.57764 0.12451 -4.40622 hirefpwr 0.33936 1.79443 1.29057 hisigpwr -4.47510 4.99756 -0.48076 encltemp 32.08008 34.79004 32.67686 flags 0.00000 256.00000 2.76738 phi-lock -1.15967 -0.06104 -0.62246 sindex 0.00000 128.00000 63.61104 time 0.00000 2948.00308 1473.10520 zeropt 0.00000 0.00488 0.00244 !!!Warning!!! philock max less than 0.2 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 129 rows There are 121 data rows and 8 calibrator rows Calibrator rows: 0 21 42 63 84 105 126 128 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 40.00596 arcsec Mean row spacing = 40.00597 arcsec (alternate estimator) Mean tracking incline = -0.04272 arcsec Mean pointing range = 0.55662 arcsec Mean pointing rms = 0.09828 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (0, 0 ) arcsec Applying pointing lags: (0, 0 ) arcsec Deciphering frequencies... Selecting hi/lo channels using method 2 Doing geometric phase correction Status bits counts: bit: 0 1 2 3 4 5 6 7 8 set: 0 0 0 0 0 0 0 0 4000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22678 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22678 data points No calibration requested... Creating template maps for gridding Using a grid cellsize of 40.0 arcseconds Using a grid of 128 points Grid has even number of points Maximum data offset = 2427.18 arcsec Grid extent = 2540 arcsec lambda_min = 0.00373034 scale = 0.00129965 Diffraction scale lambda/D = 51.3099 arcsec Gridding function extent = 307.859 arcsec Using Gaussian * Airy regridding function Gaussian FWHM = 153.93 arcsec Airy first null at 62.5811 arcsec Gridding frequency index 0 lambda = 0.00373136 metres, scale = 0.00129929 radians per metre Gridding real part of frequency 0... Gridding imag part of frequency 0... Pattern is holo(res.pattern0) Weights in holo(obs.real,wt0) and holo(obs.imag,wt0) Maximum amplitude = 3.23911 at (0.0, -40.010952902519172) arcsec Real: mean = -0.000786438 sum of squares = 943.573 Imag: mean = -0.00311251 sum of squares = 907.653 Gridding frequency index 1 lambda = 0.00373131 metres, scale = 0.00129931 radians per metre Gridding real part of frequency 1... Gridding imag part of frequency 1... Pattern is holo(res.pattern1) Weights in holo(obs.real,wt1) and holo(obs.imag,wt1) Maximum amplitude = 3.24889 at (0.0, -40.010454913186891) arcsec Real: mean = -0.00056066 sum of squares = 988.041 Imag: mean = -0.00309848 sum of squares = 861.074 Gridding frequency index 2 lambda = 0.00373127 metres, scale = 0.00129933 radians per metre Gridding real part of frequency 2... Gridding imag part of frequency 2... Pattern is holo(res.pattern2) Weights in holo(obs.real,wt2) and holo(obs.imag,wt2) Maximum amplitude = 3.28247 at (0.0, -40.009956936250724) arcsec Real: mean = -0.000306611 sum of squares = 1021.6 Imag: mean = -0.0030117 sum of squares = 827.328 Gridding frequency index 3 lambda = 0.00373118 metres, scale = 0.00129936 radians per metre Gridding real part of frequency 3... Gridding imag part of frequency 3... Pattern is holo(res.pattern3) Weights in holo(obs.real,wt3) and holo(obs.imag,wt3) Maximum amplitude = 3.32941 at (0.0, -40.0089610195649) arcsec Real: mean = 0.000189281 sum of squares = 1028.19 Imag: mean = -0.0025459 sum of squares = 820.394 Gridding frequency index 4 lambda = 0.00373108 metres, scale = 0.00129939 radians per metre Gridding real part of frequency 4... Gridding imag part of frequency 4... Pattern is holo(res.pattern4) Weights in holo(obs.real,wt4) and holo(obs.imag,wt4) Maximum amplitude = 3.36994 at (0.0, -40.007965152457999) arcsec Real: mean = 0.000263253 sum of squares = 958.744 Imag: mean = -0.00177641 sum of squares = 891.699 Gridding frequency index 5 lambda = 0.00373104 metres, scale = 0.00129941 radians per metre Gridding real part of frequency 5... Gridding imag part of frequency 5... Pattern is holo(res.pattern5) Weights in holo(obs.real,wt5) and holo(obs.imag,wt5) Maximum amplitude = 3.39014 at (0.0, -40.00746723749549) arcsec Real: mean = 7.28761e-05 sum of squares = 910.633 Imag: mean = -0.00138464 sum of squares = 941.357 Gridding frequency index 6 lambda = 0.00373099 metres, scale = 0.00129942 radians per metre Gridding real part of frequency 6... Gridding imag part of frequency 6... Pattern is holo(res.pattern6) Weights in holo(obs.real,wt6) and holo(obs.imag,wt6) Maximum amplitude = 3.38278 at (0.0, -40.006969334926325) arcsec Real: mean = -0.000227915 sum of squares = 866.278 Imag: mean = -0.00110785 sum of squares = 986.088 Gridding frequency index 7 lambda = 0.0037309 metres, scale = 0.00129946 radians per metre Gridding real part of frequency 7... Gridding imag part of frequency 7... Pattern is holo(res.pattern7) Weights in holo(obs.real,wt7) and holo(obs.imag,wt7) Maximum amplitude = 3.36678 at (0.0, -40.005973566966176) arcsec Real: mean = -0.000944401 sum of squares = 817.78 Imag: mean = -0.0011197 sum of squares = 1036.46 Gridding frequency index 8 lambda = 0.0037308 metres, scale = 0.00129949 radians per metre Gridding real part of frequency 8... Gridding imag part of frequency 8... Pattern is holo(res.pattern8) Weights in holo(obs.real,wt8) and holo(obs.imag,wt8) Maximum amplitude = 3.33165 at (0.0, -40.004977848573851) arcsec Real: mean = -0.00127876 sum of squares = 844.756 Imag: mean = -0.00142988 sum of squares = 1010.6 Gridding frequency index 9 lambda = 0.00373076 metres, scale = 0.0012995 radians per metre Gridding real part of frequency 9... Gridding imag part of frequency 9... Pattern is holo(res.pattern9) Weights in holo(obs.real,wt9) and holo(obs.imag,wt9) Maximum amplitude = 3.30949 at (0.0, -40.004480007964467) arcsec Real: mean = -0.00128408 sum of squares = 881.543 Imag: mean = -0.00153185 sum of squares = 973.895 Gridding frequency index 10 lambda = 0.00373071 metres, scale = 0.00129952 radians per metre Gridding real part of frequency 10... Gridding imag part of frequency 10... Pattern is holo(res.pattern10) Weights in holo(obs.real,wt10) and holo(obs.imag,wt10) Maximum amplitude = 3.30186 at (0.0, -40.003982179745641) arcsec Real: mean = -0.00130813 sum of squares = 926.732 Imag: mean = -0.00155302 sum of squares = 930.655 Gridding frequency index 11 lambda = 0.00373062 metres, scale = 0.00129955 radians per metre Gridding real part of frequency 11... Gridding imag part of frequency 11... Pattern is holo(res.pattern11) Weights in holo(obs.real,wt11) and holo(obs.imag,wt11) Maximum amplitude = 3.27462 at (0.0, -40.002986560477851) arcsec Real: mean = -0.00155674 sum of squares = 1006.31 Imag: mean = -0.00151216 sum of squares = 852.627 Gridding frequency index 12 lambda = 0.00373053 metres, scale = 0.00129959 radians per metre Gridding real part of frequency 12... Gridding imag part of frequency 12... Pattern is holo(res.pattern12) Weights in holo(obs.real,wt12) and holo(obs.imag,wt12) Maximum amplitude = 3.25265 at (0.0, -40.001990990766792) arcsec Real: mean = -0.00196417 sum of squares = 1032.19 Imag: mean = -0.00179034 sum of squares = 829.224 Gridding frequency index 13 lambda = 0.00373048 metres, scale = 0.0012996 radians per metre Gridding real part of frequency 13... Gridding imag part of frequency 13... Pattern is holo(res.pattern13) Weights in holo(obs.real,wt13) and holo(obs.imag,wt13) Maximum amplitude = 3.24414 at (0.0, -40.001493224493863) arcsec Real: mean = -0.00213103 sum of squares = 1016.61 Imag: mean = -0.0020825 sum of squares = 845.86 Gridding frequency index 14 lambda = 0.00373043 metres, scale = 0.00129962 radians per metre Gridding real part of frequency 14... Gridding imag part of frequency 14... Pattern is holo(res.pattern14) Weights in holo(obs.real,wt14) and holo(obs.imag,wt14) Maximum amplitude = 3.2267 at (0.0, -40.000995470608736) arcsec Real: mean = -0.00223201 sum of squares = 983.84 Imag: mean = -0.00243118 sum of squares = 879.043 Gridding frequency index 15 lambda = 0.00373034 metres, scale = 0.00129965 radians per metre Gridding real part of frequency 15... Gridding imag part of frequency 15... Pattern is holo(res.pattern15) Weights in holo(obs.real,wt15) and holo(obs.imag,wt15) Maximum amplitude = 3.21323 at (0.0, -40.0) arcsec Real: mean = -0.00195454 sum of squares = 894.867 Imag: mean = -0.00308447 sum of squares = 971.24 Masking frequency index 0 Mask scale size = 3.05927 Masking frequency index 1 Mask scale size = 3.0593 Masking frequency index 2 Mask scale size = 3.05934 Masking frequency index 3 Mask scale size = 3.05942 Masking frequency index 4 Mask scale size = 3.05949 Masking frequency index 5 Mask scale size = 3.05953 Masking frequency index 6 Mask scale size = 3.05957 Masking frequency index 7 Mask scale size = 3.05965 Masking frequency index 8 Mask scale size = 3.05972 Masking frequency index 9 Mask scale size = 3.05976 Masking frequency index 10 Mask scale size = 3.0598 Masking frequency index 11 Mask scale size = 3.05987 Masking frequency index 12 Mask scale size = 3.05995 Masking frequency index 13 Mask scale size = 3.05999 Masking frequency index 14 Mask scale size = 3.06003 Masking frequency index 15 Mask scale size = 3.0601 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.219727 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.234375 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.214844 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.224609 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.222168 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.222168 Median point-to-point PLL voltage change: 0.0170898 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -2.0092 100.39 Freq 1: Shift, scale = -2.2303 100.99 Freq 2: Shift, scale = -2.4512 101.84 Freq 3: Shift, scale = -2.8919 103.1 Freq 4: Shift, scale = 2.9495 103.97 Freq 5: Shift, scale = 2.7318 104.17 Freq 6: Shift, scale = 2.5162 104.19 Freq 7: Shift, scale = 2.0894 104.67 Freq 8: Shift, scale = 1.663 104.75 Freq 9: Shift, scale = 1.449 104.68 Freq 10: Shift, scale = 1.2334 104.46 Freq 11: Shift, scale = 0.80081 103.48 Freq 12: Shift, scale = 0.36219 101.97 Freq 13: Shift, scale = 0.1437 101.28 Freq 14: Shift, scale = -0.074375 100.59 Freq 15: Shift, scale = -0.5142 99.617 Calculating phase corrections for index 0 Calculating phase corrections for index 1 Calculating phase corrections for index 2 Calculating phase corrections for index 3 Calculating phase corrections for index 4 Calculating phase corrections for index 5 Calculating phase corrections for index 6 Calculating phase corrections for index 7 Calculating phase corrections for index 8 Calculating phase corrections for index 9 Calculating phase corrections for index 10 Calculating phase corrections for index 11 Calculating phase corrections for index 12 Calculating phase corrections for index 13 Calculating phase corrections for index 14 Calculating phase corrections for index 15 Apply near field corrections for frequency 0 Apply secondary diffraction correction for frequency 0 Apply near field corrections for frequency 1 Apply secondary diffraction correction for frequency 1 Apply near field corrections for frequency 2 Apply secondary diffraction correction for frequency 2 Apply near field corrections for frequency 3 Apply secondary diffraction correction for frequency 3 Apply near field corrections for frequency 4 Apply secondary diffraction correction for frequency 4 Apply near field corrections for frequency 5 Apply secondary diffraction correction for frequency 5 Apply near field corrections for frequency 6 Apply secondary diffraction correction for frequency 6 Apply near field corrections for frequency 7 Apply secondary diffraction correction for frequency 7 Apply near field corrections for frequency 8 Apply secondary diffraction correction for frequency 8 Apply near field corrections for frequency 9 Apply secondary diffraction correction for frequency 9 Apply near field corrections for frequency 10 Apply secondary diffraction correction for frequency 10 Apply near field corrections for frequency 11 Apply secondary diffraction correction for frequency 11 Apply near field corrections for frequency 12 Apply secondary diffraction correction for frequency 12 Apply near field corrections for frequency 13 Apply secondary diffraction correction for frequency 13 Apply near field corrections for frequency 14 Apply secondary diffraction correction for frequency 14 Apply near field corrections for frequency 15 Apply secondary diffraction correction for frequency 15 Fitting piston, pointing and defocus terms Fitting frequency 0 Minimiser fit code = 3 piston: -0.491 radians x offset: 12.6 arcsec y offset: 14.1 arcsec defocus: 0.564 mm Estimated x pointing error is 12.58 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.14 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.064 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 1 Minimiser fit code = 3 piston: -0.495 radians x offset: 12.6 arcsec y offset: 14.1 arcsec defocus: 0.563 mm Estimated x pointing error is 12.62 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.14 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.063 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 2 Minimiser fit code = 3 piston: -0.499 radians x offset: 12.7 arcsec y offset: 14.1 arcsec defocus: 0.561 mm Estimated x pointing error is 12.68 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.13 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.061 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 3 Minimiser fit code = 3 piston: -0.506 radians x offset: 12.8 arcsec y offset: 14.1 arcsec defocus: 0.557 mm Estimated x pointing error is 12.78 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.1 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.057 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 4 Minimiser fit code = 3 piston: -0.516 radians x offset: 12.9 arcsec y offset: 14.1 arcsec defocus: 0.552 mm Estimated x pointing error is 12.91 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.06 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.052 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 5 Minimiser fit code = 3 piston: -0.516 radians x offset: 13 arcsec y offset: 14 arcsec defocus: 0.55 mm Estimated x pointing error is 12.96 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.05 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.05 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 6 Minimiser fit code = 3 piston: -0.456 radians x offset: 11.6 arcsec y offset: 13.9 arcsec defocus: 0.6 mm Estimated x pointing error is 11.65 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.92 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.1 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 7 Minimiser fit code = 3 piston: -0.451 radians x offset: 11.8 arcsec y offset: 13.9 arcsec defocus: 0.591 mm Estimated x pointing error is 11.76 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.9 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.091 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 8 Minimiser fit code = 3 piston: -0.445 radians x offset: 11.8 arcsec y offset: 13.9 arcsec defocus: 0.584 mm Estimated x pointing error is 11.84 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.91 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.084 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 9 Minimiser fit code = 3 piston: -0.443 radians x offset: 11.9 arcsec y offset: 13.9 arcsec defocus: 0.581 mm Estimated x pointing error is 11.87 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.92 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.081 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 10 Minimiser fit code = 3 piston: -0.441 radians x offset: 11.9 arcsec y offset: 13.9 arcsec defocus: 0.579 mm Estimated x pointing error is 11.9 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.93 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.079 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 11 Minimiser fit code = 2 piston: -0.44 radians x offset: 12 arcsec y offset: 14 arcsec defocus: 0.575 mm Estimated x pointing error is 11.98 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.97 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.075 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 12 Minimiser fit code = 3 piston: -0.444 radians x offset: 12.1 arcsec y offset: 14 arcsec defocus: 0.573 mm Estimated x pointing error is 12.07 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.01 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.073 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 13 Minimiser fit code = 3 piston: -0.446 radians x offset: 12.1 arcsec y offset: 14 arcsec defocus: 0.572 mm Estimated x pointing error is 12.12 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.03 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.072 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 14 Minimiser fit code = 3 piston: -0.446 radians x offset: 12.2 arcsec y offset: 14.1 arcsec defocus: 0.572 mm Estimated x pointing error is 12.17 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.05 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.072 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 15 Minimiser fit code = 3 piston: -0.45 radians x offset: 12.2 arcsec y offset: 14.1 arcsec defocus: 0.572 mm Estimated x pointing error is 12.24 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.07 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 3.072 mm (used 2.5 mm) !!!Warning!!! Defocus error > 0.5 mm Making masked surfaces in microns, and cubes Fitting Zernikes Fitting many Zernikes for frequency 0 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00157 piston 1 1 -0.00114 tilt_x 1 -1 -0.00776 tilt_y 2 2 0.00766 astigmatism_0 2 0 0.01098 curvature 2 -2 0.04922 astigmatism45 3 3 0.03179 trefoil_0 3 1 -0.00074 coma_x 3 -1 -0.02415 coma_y 3 -3 -0.01817 trefoil_30 Fitting many Zernikes for frequency 1 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00161 piston 1 1 -0.00017 tilt_x 1 -1 -0.00823 tilt_y 2 2 0.00656 astigmatism_0 2 0 0.01105 curvature 2 -2 0.04917 astigmatism45 3 3 0.02879 trefoil_0 3 1 0.00188 coma_x 3 -1 -0.02528 coma_y 3 -3 -0.01899 trefoil_30 Fitting many Zernikes for frequency 2 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00169 piston 1 1 0.00073 tilt_x 1 -1 -0.00875 tilt_y 2 2 0.00460 astigmatism_0 2 0 0.01120 curvature 2 -2 0.04920 astigmatism45 3 3 0.02593 trefoil_0 3 1 0.00431 coma_x 3 -1 -0.02643 coma_y 3 -3 -0.01906 trefoil_30 Fitting many Zernikes for frequency 3 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00183 piston 1 1 0.00295 tilt_x 1 -1 -0.00988 tilt_y 2 2 0.00061 astigmatism_0 2 0 0.01143 curvature 2 -2 0.04883 astigmatism45 3 3 0.02145 trefoil_0 3 1 0.01060 coma_x 3 -1 -0.02906 coma_y 3 -3 -0.01804 trefoil_30 Fitting many Zernikes for frequency 4 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00206 piston 1 1 0.00660 tilt_x 1 -1 -0.01152 tilt_y 2 2 -0.00696 astigmatism_0 2 0 0.01184 curvature 2 -2 0.04879 astigmatism45 3 3 0.01668 trefoil_0 3 1 0.02115 coma_x 3 -1 -0.03253 coma_y 3 -3 -0.01458 trefoil_30 Fitting many Zernikes for frequency 5 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00216 piston 1 1 0.00849 tilt_x 1 -1 -0.01229 tilt_y 2 2 -0.01063 astigmatism_0 2 0 0.01202 curvature 2 -2 0.04875 astigmatism45 3 3 0.01587 trefoil_0 3 1 0.02665 coma_x 3 -1 -0.03418 coma_y 3 -3 -0.01270 trefoil_30 Fitting many Zernikes for frequency 6 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00023 piston 1 1 -0.04024 tilt_x 1 -1 -0.00313 tilt_y 2 2 0.06233 astigmatism_0 2 0 0.00927 curvature 2 -2 0.04425 astigmatism45 3 3 0.07736 trefoil_0 3 1 -0.11288 coma_x 3 -1 -0.02320 coma_y 3 -3 -0.02204 trefoil_30 Fitting many Zernikes for frequency 7 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00052 piston 1 1 -0.03516 tilt_x 1 -1 -0.00436 tilt_y 2 2 0.05331 astigmatism_0 2 0 0.00983 curvature 2 -2 0.04408 astigmatism45 3 3 0.07307 trefoil_0 3 1 -0.09845 coma_x 3 -1 -0.02528 coma_y 3 -3 -0.01969 trefoil_30 Fitting many Zernikes for frequency 8 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00070 piston 1 1 -0.03138 tilt_x 1 -1 -0.00474 tilt_y 2 2 0.04748 astigmatism_0 2 0 0.01028 curvature 2 -2 0.04432 astigmatism45 3 3 0.06928 trefoil_0 3 1 -0.08777 coma_x 3 -1 -0.02543 coma_y 3 -3 -0.01941 trefoil_30 Fitting many Zernikes for frequency 9 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00081 piston 1 1 -0.02973 tilt_x 1 -1 -0.00497 tilt_y 2 2 0.04478 astigmatism_0 2 0 0.01050 curvature 2 -2 0.04392 astigmatism45 3 3 0.06771 trefoil_0 3 1 -0.08303 coma_x 3 -1 -0.02559 coma_y 3 -3 -0.01976 trefoil_30 Fitting many Zernikes for frequency 10 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00086 piston 1 1 -0.02849 tilt_x 1 -1 -0.00478 tilt_y 2 2 0.04297 astigmatism_0 2 0 0.01062 curvature 2 -2 0.04386 astigmatism45 3 3 0.06568 trefoil_0 3 1 -0.07947 coma_x 3 -1 -0.02468 coma_y 3 -3 -0.02077 trefoil_30 Fitting many Zernikes for frequency 11 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00098 piston 1 1 -0.02536 tilt_x 1 -1 -0.00428 tilt_y 2 2 0.03974 astigmatism_0 2 0 0.01082 curvature 2 -2 0.04275 astigmatism45 3 3 0.06032 trefoil_0 3 1 -0.07019 coma_x 3 -1 -0.02202 coma_y 3 -3 -0.02204 trefoil_30 Fitting many Zernikes for frequency 12 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00106 piston 1 1 -0.02202 tilt_x 1 -1 -0.00315 tilt_y 2 2 0.03718 astigmatism_0 2 0 0.01092 curvature 2 -2 0.04138 astigmatism45 3 3 0.05380 trefoil_0 3 1 -0.06030 coma_x 3 -1 -0.01763 coma_y 3 -3 -0.02395 trefoil_30 Fitting many Zernikes for frequency 13 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00110 piston 1 1 -0.01990 tilt_x 1 -1 -0.00285 tilt_y 2 2 0.03573 astigmatism_0 2 0 0.01091 curvature 2 -2 0.04120 astigmatism45 3 3 0.05010 trefoil_0 3 1 -0.05410 coma_x 3 -1 -0.01618 coma_y 3 -3 -0.02492 trefoil_30 Fitting many Zernikes for frequency 14 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00114 piston 1 1 -0.01764 tilt_x 1 -1 -0.00263 tilt_y 2 2 0.03368 astigmatism_0 2 0 0.01091 curvature 2 -2 0.04000 astigmatism45 3 3 0.04667 trefoil_0 3 1 -0.04762 coma_x 3 -1 -0.01489 coma_y 3 -3 -0.02618 trefoil_30 Fitting many Zernikes for frequency 15 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 0.00121 piston 1 1 -0.01427 tilt_x 1 -1 -0.00288 tilt_y 2 2 0.03162 astigmatism_0 2 0 0.01091 curvature 2 -2 0.03957 astigmatism45 3 3 0.04239 trefoil_0 3 1 -0.03771 coma_x 3 -1 -0.01469 coma_y 3 -3 -0.02629 trefoil_30 Averaged 16 maps to make holo(res.mean_surface) Computing differences from mean surface (phase) Unweighted rms analysis, frequency 0 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.2 30.4 28.3 36.1 30.7 37.3 50.5 41.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.5 30 28.3 35.9 30.1 36.4 48.5 40.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.4 2.73 3.75 4.74 6.06 8.28 11.7 7.95 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.7 30.5 27.6 36.2 30.5 37.1 50.3 41.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35 30.2 27.6 36 30 36.2 48.3 40.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.47 2.84 3.87 4.8 6.02 8.14 11.5 7.86 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.8 30.7 28.1 36.9 30.2 36.8 50.2 41.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.2 30.5 28.3 36.7 29.9 36 48.1 40.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.55 2.98 4.02 4.89 5.98 7.99 11.4 7.79 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.3 31 27.7 39.6 30 36.8 49.7 41.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.9 31 28.3 39.5 29.9 36.1 47.6 40.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.79 3.4 4.47 5.19 5.97 7.72 11.1 7.73 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.1 31.1 27 45 30.4 36.8 49.3 42.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36 31.6 28.2 45 30.8 36.3 47.1 41.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.23 4.21 5.4 5.93 6.19 7.55 11.3 7.96 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35 31.2 26.7 47.5 30.7 37.1 49.2 43 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36 32 28.3 47.9 31.3 36.7 47 42.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.49 4.68 5.96 6.4 6.41 7.58 11.6 8.23 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.2 29.4 24.7 46.3 30.6 38.5 51.2 43.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34 28.3 27.7 47.9 32.2 38 49.7 43.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.62 12.3 15.1 15.2 13.4 14.7 25.5 17.6 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 29.8 24.5 42.1 30.8 38.1 51.1 43.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 28.4 26.5 43.4 31.9 37.5 49.4 42.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.84 10.8 13.3 13.5 12 13.5 23.2 15.9 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.8 30.2 25.2 39 30.5 37.8 51.1 43.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 28.6 26.5 40.2 31.2 37 49.5 42.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.25 9.74 12 12.2 11.1 12.8 21.5 14.8 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.8 30.3 25.3 38 30.3 37.7 50.9 43 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 28.7 26.2 39.2 30.7 36.8 49.4 42.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.99 9.26 11.4 11.6 10.7 12.4 20.8 14.2 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 30.2 22.4 37.1 30 37.5 50.8 42.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 28.5 22.5 38.3 30.2 36.5 49.4 41.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.78 8.87 11 11.2 10.4 12.1 20.2 13.8 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.4 29.8 24.4 36.2 29.8 37.3 50.3 42.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.2 28.1 24.2 37.2 29.5 36.3 49.2 41.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.23 7.85 9.73 10 9.52 11.4 18.6 12.7 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35 29.3 24.6 34.6 29.9 37.1 49.7 42.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.7 27.6 24.4 35.4 29.2 36 48.8 41.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.61 6.72 8.37 8.76 8.64 10.6 17 11.5 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.2 29 25.2 37.2 30.2 37 49.3 42.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.9 27.4 24.9 37.6 29.2 35.9 48.5 41.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.25 6.06 7.57 8.03 8.17 10.3 16.1 10.9 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 28.9 25.8 39.4 30.3 37 48.9 42.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.3 27.4 25.5 39.7 29.3 35.9 48.2 41.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.87 5.37 6.75 7.27 7.65 9.8 15.1 10.2 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36 28.6 27.7 43.7 30.3 37.1 48.7 43 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 27.2 27.4 43.5 29.2 36 48 42 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.34 4.39 5.59 6.25 7.03 9.31 14 9.42 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 31.7 28.4 19.8 24.6 27.5 35.1 47.8 38.6 Mean deviation is 2.5095981437794719 microns Taper = 10 dB, Ruze illumination-weighted rms = 37.7 micron Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm Sigma = 4.51193 (Taper = 12 dB) Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12) Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6) f = 650 GHz Ruze rms = 34.1 micron Centre pixel: 64.0 64.0 Value = 2407.44 (estimate), 3708.08 (perfect) Strehl = 0.421515 Strehl ratio estimate = 0.4215 Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm Sigma = 4.51193 (Taper = 12 dB) Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12) Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6) f = 900 GHz Ruze rms = 32.7 micron Centre pixel: 64.0 64.0 Value = 1731.78 (estimate), 3708.08 (perfect) Strehl = 0.218116 Strehl ratio estimate = 0.2181 Fitting panels... No Zernike terms to subtract before panel fitting edge scale = 0.15028 metres panel scale = 3.00000 metres mean frequency = 80.35475 GHz min edge weight = 0.1 # rng pan adj1 adj2 adj3 qsum 1 1 1 84.4 37.8 15.8 93.8 2 1 2 104.8 26.6 50.7 119.4 3 1 3 111.0 44.4 40.2 126.2 4 1 4 124.1 68.4 35.2 146.0 5 1 5 87.3 22.2 57.8 107.0 6 1 6 99.7 38.2 37.0 113.0 7 1 7 56.3 38.9 -1.6 68.4 8 1 8 52.3 20.0 32.0 64.5 9 1 9 31.8 5.9 34.8 47.5 10 1 10 88.8 41.7 70.9 121.0 11 1 11 133.3 82.5 57.8 167.1 12 1 12 118.3 36.6 39.8 130.1 13 2 1 40.9 -51.8 -39.1 76.7 14 2 2 35.4 -27.2 -20.9 49.3 15 2 3 61.2 -24.2 -28.1 71.6 16 2 4 62.3 -30.0 -7.6 69.5 17 2 5 81.4 2.4 22.7 84.5 18 2 6 64.1 29.1 18.2 72.8 19 2 7 48.6 -12.0 16.2 52.7 20 2 8 99.7 19.6 -18.9 103.3 21 2 9 51.3 -10.4 14.4 54.3 22 2 10 38.0 11.1 42.7 58.2 23 2 11 46.6 5.3 11.2 48.2 24 2 12 40.5 6.0 -0.1 40.9 25 2 13 49.9 22.5 1.2 54.8 26 2 14 21.2 4.1 19.8 29.2 27 2 15 35.8 4.5 -24.2 43.5 28 2 16 31.9 1.6 -27.8 42.4 29 2 17 13.3 -8.9 -37.5 40.8 30 2 18 35.1 -27.2 -42.7 61.6 31 2 19 29.5 -29.1 -16.0 44.4 32 2 20 60.9 -27.9 6.8 67.3 33 2 21 73.5 16.0 -24.3 79.0 34 2 22 60.6 -42.6 -50.1 89.4 35 2 23 81.9 -14.7 -29.9 88.4 36 2 24 45.6 -35.3 -44.6 72.9 37 3 1 -16.7 -11.5 -20.2 28.6 38 3 2 -21.3 -16.0 -23.9 35.8 39 3 3 -13.5 -8.4 -27.8 32.0 40 3 4 -1.2 -20.7 9.1 22.6 41 3 5 -13.9 -11.6 -42.2 45.9 42 3 6 -6.4 2.3 -34.2 34.8 43 3 7 1.9 2.3 -16.0 16.3 44 3 8 5.0 -7.8 -2.3 9.5 45 3 9 20.8 -13.7 -34.6 42.7 46 3 10 20.9 14.5 -7.8 26.6 47 3 11 0.3 -2.9 -35.8 36.0 48 3 12 -2.1 15.7 -17.8 23.9 49 3 13 -1.2 -6.6 -16.5 17.8 50 3 14 28.9 -2.3 -32.1 43.3 51 3 15 -11.0 -3.4 -12.1 16.8 52 3 16 13.0 -1.6 -14.8 19.8 53 3 17 33.4 -2.8 -23.8 41.1 54 3 18 26.9 15.1 -15.5 34.5 55 3 19 31.7 15.5 -29.9 46.3 56 3 20 -7.5 7.0 1.8 10.4 57 3 21 -6.8 -2.9 -20.5 21.8 58 3 22 10.6 1.9 -15.1 18.6 59 3 23 0.4 6.2 -28.6 29.2 60 3 24 16.8 -19.0 -12.7 28.4 61 3 25 -4.3 -23.8 -38.7 45.6 62 3 26 -16.1 -20.8 -52.6 58.8 63 3 27 -14.7 -27.3 -57.9 65.7 64 3 28 7.8 -15.1 -61.7 64.0 65 3 29 -1.5 -18.6 -18.3 26.1 66 3 30 -4.1 -16.5 -33.3 37.4 67 3 31 -27.8 -2.3 -32.8 43.1 68 3 32 -26.8 -28.5 -34.8 52.3 69 3 33 -17.2 -17.4 -3.3 24.7 70 3 34 -14.5 -15.0 -4.6 21.4 71 3 35 -10.0 -13.0 -35.3 38.9 72 3 36 11.0 -30.9 -24.3 40.9 73 3 37 -12.9 -40.9 -72.7 84.5 74 3 38 -14.6 2.1 -29.2 32.7 75 3 39 13.1 -1.8 -19.8 23.8 76 3 40 4.9 -1.1 -38.0 38.3 77 3 41 17.2 8.3 -30.7 36.1 78 3 42 20.7 -5.2 -21.3 30.2 79 3 43 -1.8 -7.4 -29.1 30.1 80 3 44 -3.2 -26.9 -12.8 30.0 81 3 45 -13.7 -28.4 -18.4 36.5 82 3 46 -18.7 -19.3 -36.4 45.2 83 3 47 -34.3 -29.4 -30.4 54.5 84 3 48 -32.1 -24.8 -68.0 79.2 85 4 1 -34.6 -44.7 -9.8 57.4 86 4 2 -24.5 -33.8 -70.5 81.9 87 4 3 -36.7 -30.0 -34.6 58.7 88 4 4 -17.4 -26.7 -71.6 78.4 89 4 5 0.2 -23.0 -51.1 56.0 90 4 6 1.9 -25.5 -41.4 48.7 91 4 7 -12.8 -35.2 -28.3 46.9 92 4 8 -24.2 -7.8 -63.8 68.6 93 4 9 -3.3 -12.4 -19.7 23.5 94 4 10 -18.9 2.2 -36.3 41.0 95 4 11 -5.9 -27.9 -49.1 56.8 96 4 12 -27.8 28.9 -43.6 59.2 97 4 13 -18.4 -25.8 44.2 54.4 98 4 14 9.2 -10.9 -46.0 48.1 99 4 15 -21.7 -28.3 -32.8 48.5 100 4 16 -32.2 -14.8 -34.4 49.4 101 4 17 -25.9 -23.5 -41.9 54.6 102 4 18 2.7 -16.8 8.7 19.1 103 4 19 -7.9 -19.8 -41.2 46.4 104 4 20 9.9 -11.3 -47.4 49.7 105 4 21 -26.5 -25.4 -11.1 38.4 106 4 22 -57.4 -22.6 95.3 113.5 107 4 23 -38.7 -24.2 -16.2 48.4 108 4 24 -43.1 -16.5 -2.0 46.2 109 4 25 -56.7 -9.9 10.7 58.6 110 4 26 -40.7 -23.0 -46.6 66.0 111 4 27 -41.6 -13.4 22.5 49.2 112 4 28 -64.6 -35.8 22.5 77.2 113 4 29 -100.0 -20.1 -67.9 122.5 114 4 30 -59.4 -54.7 -34.0 87.6 115 4 31 -19.2 -43.1 -38.6 60.9 116 4 32 -31.8 -10.1 -9.8 34.8 117 4 33 -54.3 -11.9 -12.8 57.0 118 4 34 -17.9 -23.3 -31.8 43.3 119 4 35 6.3 -13.1 -35.8 38.6 120 4 36 -48.5 -18.9 -32.8 61.6 121 4 37 -46.2 -10.4 -53.1 71.2 122 4 38 -29.8 -9.1 -93.6 98.7 123 4 39 -5.5 20.9 -16.2 27.0 124 4 40 9.9 -8.8 -44.8 46.7 125 4 41 -23.6 16.5 -47.2 55.3 126 4 42 -36.0 -2.2 -54.9 65.7 127 4 43 -27.4 -8.0 -43.1 51.7 128 4 44 -22.3 -10.2 -38.3 45.5 129 4 45 -16.9 -15.9 -23.8 33.2 130 4 46 -28.2 -33.1 -44.6 62.3 131 4 47 -39.6 -33.2 -55.7 76.0 132 4 48 -39.2 -45.8 -45.6 75.6 133 5 1 -14.1 -19.8 -34.5 42.2 134 5 2 -33.1 -33.9 -37.2 60.3 135 5 3 -6.4 -27.5 -62.2 68.3 136 5 4 0.7 -7.6 -38.2 39.0 137 5 5 -0.7 -9.6 -39.6 40.8 138 5 6 -36.8 -29.2 -26.9 54.1 139 5 7 -17.7 7.7 -19.5 27.5 140 5 8 -30.6 2.7 -46.4 55.6 141 5 9 -11.1 -10.5 5.5 16.2 142 5 10 -18.3 12.6 -40.4 46.1 143 5 11 -8.5 6.2 14.6 18.0 144 5 12 -1.3 63.5 10.6 64.4 145 5 13 6.9 28.7 9.1 30.9 146 5 14 18.2 23.3 8.2 30.6 147 5 15 -3.4 -13.3 -15.2 20.5 148 5 16 -16.5 10.5 7.8 21.1 149 5 17 -20.3 8.5 39.3 45.0 150 5 18 -4.0 -20.4 110.4 112.3 151 5 19 -26.5 -18.7 -26.9 42.2 152 5 20 -36.4 -22.4 -36.0 55.8 153 5 21 15.3 -11.7 -38.8 43.3 154 5 22 -6.7 -12.1 -46.3 48.3 155 5 23 -2.3 -4.7 -4.0 6.5 156 5 24 50.6 1.1 -1.1 50.6 157 5 25 37.5 -0.1 -35.4 51.6 158 5 26 -26.1 -11.2 -12.0 30.8 159 5 27 -27.9 -30.8 -75.2 85.9 160 5 28 -16.0 -12.9 -43.4 48.0 161 5 29 39.3 -10.8 -55.5 68.9 162 5 30 11.8 9.8 24.7 29.1 163 5 31 -85.3 3.5 -7.8 85.7 164 5 32 -51.8 -6.8 -37.6 64.4 165 5 33 -4.0 41.0 20.5 46.0 166 5 34 -12.3 -54.9 -10.4 57.2 167 5 35 11.5 5.1 25.1 28.1 168 5 36 -14.8 10.9 17.3 25.3 169 5 37 -22.6 33.3 -40.8 57.3 170 5 38 -47.8 11.8 -29.6 57.4 171 5 39 -7.5 55.1 -13.1 57.1 172 5 40 -46.0 19.2 -19.2 53.4 173 5 41 29.7 32.7 58.8 73.6 174 5 42 19.0 -4.3 -24.4 31.2 175 5 43 2.1 -8.1 -64.1 64.7 176 5 44 -15.0 -11.6 -37.7 42.2 177 5 45 -11.7 3.2 -20.8 24.0 178 5 46 -26.4 -22.1 -22.8 41.3 179 5 47 -51.3 -39.3 23.9 69.0 180 5 48 -33.6 -3.5 -18.5 38.5 181 6 1 -35.1 6.5 20.9 41.4 182 6 2 -25.9 -6.0 -14.0 30.0 183 6 3 -52.2 -0.8 -38.4 64.8 184 6 4 -55.3 -8.0 -82.0 99.3 185 6 5 -24.6 -26.7 -48.5 60.5 186 6 6 -15.0 -6.1 -49.2 51.8 187 6 7 -20.8 -18.3 -42.5 50.8 188 6 8 -31.7 8.2 -26.9 42.4 189 6 9 -18.9 1.7 -38.6 43.0 190 6 10 -49.8 29.3 -13.1 59.2 191 6 11 35.1 28.7 22.4 50.6 192 6 12 34.3 41.1 13.6 55.2 193 6 13 21.9 33.1 -16.4 42.9 194 6 14 13.2 6.5 -14.5 20.6 195 6 15 6.5 8.4 -0.9 10.7 196 6 16 -5.0 22.1 -44.4 49.8 197 6 17 -14.1 4.7 -24.1 28.3 198 6 18 2.9 1.1 -150.7 150.8 199 6 19 23.1 -22.2 -34.3 46.9 200 6 20 -45.1 -0.8 45.0 63.7 201 6 21 -84.8 -19.8 -29.8 92.0 202 6 22 -0.8 77.3 1.8 77.4 203 6 23 51.9 1.4 40.1 65.6 204 6 24 36.0 23.2 7.2 43.4 205 6 25 9.2 19.2 -27.7 34.9 206 6 26 20.0 -3.6 -9.1 22.2 207 6 27 -72.9 2.7 -6.9 73.3 208 6 28 -91.7 -7.2 -40.5 100.5 209 6 29 -89.2 46.9 17.1 102.2 210 6 30 -42.8 0.2 82.6 93.0 211 6 31 17.6 -14.2 -2.6 22.8 212 6 32 -1.0 -8.6 68.5 69.0 213 6 33 -5.4 12.3 -32.6 35.3 214 6 34 -40.3 21.3 25.3 52.1 215 6 35 19.8 -12.2 51.0 56.1 216 6 36 23.6 50.5 63.7 84.6 217 6 37 -9.5 20.8 3.4 23.1 218 6 38 3.4 12.3 -39.6 41.6 219 6 39 -42.8 34.4 -33.4 64.3 220 6 40 5.7 50.2 -51.6 72.2 221 6 41 20.1 64.5 -69.6 97.0 222 6 42 -9.5 29.2 2.3 30.8 223 6 43 28.0 18.6 80.6 87.3 224 6 44 37.0 23.5 27.3 51.6 225 6 45 26.2 48.9 -46.8 72.6 226 6 46 -62.6 60.1 22.3 89.6 227 6 47 -18.3 29.6 64.7 73.5 228 6 48 -24.7 11.4 59.4 65.4 229 7 1 -12.4 82.6 49.3 97.0 230 7 2 -14.6 25.3 21.3 36.2 231 7 3 -15.2 31.9 -6.3 35.9 232 7 4 29.2 -38.8 34.7 59.7 233 7 5 -3.3 2.4 -15.2 15.8 234 7 6 -37.7 10.2 -25.6 46.7 235 7 7 2.6 3.1 -6.1 7.4 236 7 8 14.6 13.7 2.1 20.1 237 7 9 61.3 -81.9 41.3 110.3 238 7 10 27.8 37.3 38.9 60.7 239 7 11 45.1 25.4 28.0 58.8 240 7 12 25.9 62.6 70.8 98.0 241 7 13 -12.0 58.0 43.5 73.5 242 7 14 13.0 53.0 40.6 68.0 243 7 15 12.7 26.2 -2.1 29.1 244 7 16 15.4 -48.4 -11.1 51.9 245 7 17 49.2 -9.1 13.8 51.9 246 7 18 -12.0 64.3 -3.7 65.6 247 7 19 25.9 19.7 38.1 50.1 248 7 20 30.2 -11.1 3.7 32.4 249 7 21 12.2 -60.8 56.5 83.9 250 7 22 -15.4 -28.4 25.1 40.9 251 7 23 74.0 9.7 31.9 81.2 252 7 24 24.9 52.9 68.5 90.1 253 7 25 78.8 47.3 56.7 108.0 254 7 26 -7.1 21.7 36.9 43.4 255 7 27 -33.9 2.1 26.0 42.8 256 7 28 -32.7 -131.6 343.9 369.7 257 7 29 34.1 -64.8 15.2 74.8 258 7 30 45.7 17.2 -36.4 60.9 259 7 31 -60.0 24.7 8.1 65.4 260 7 32 3.8 -38.2 -101.1 108.1 261 7 33 -41.5 21.6 25.1 53.1 262 7 34 64.9 60.0 43.1 98.3 263 7 35 30.5 37.9 27.4 55.9 264 7 36 5.5 50.3 31.0 59.4 265 7 37 -12.3 59.5 -7.6 61.2 266 7 38 -22.8 50.2 -49.3 74.0 267 7 39 18.3 72.7 -30.7 81.0 268 7 40 127.0 -61.3 82.0 163.2 269 7 41 40.1 38.6 97.5 112.3 270 7 42 39.3 50.7 38.1 74.6 271 7 43 7.3 69.0 84.4 109.2 272 7 44 80.9 77.9 73.2 134.0 273 7 45 64.7 36.7 122.4 143.2 274 7 46 86.0 88.2 102.9 160.5 275 7 47 31.4 97.3 51.4 114.4 276 7 48 23.0 204.4 115.5 235.9 Creating sector-motor-move file sector motor steps 1 1 10 1 2 -11 1 3 8 1 4 -25 1 5 -2 1 6 -16 1 7 -1 1 8 9 1 9 -4 1 10 -11 1 11 0 1 12 -16 1 13 6 1 14 7 1 15 -4 1 16 -4 1 17 -1 1 18 -7 1 19 15 1 20 25 1 21 -3 1 22 6 1 23 2 1 24 -10 1 25 -11 1 26 -2 1 27 0 1 28 -21 1 29 -8 1 30 -5 1 31 -19 1 32 -8 1 33 -1 1 34 -10 1 35 -9 1 36 -11 1 37 -11 1 38 -10 1 39 -10 1 40 -21 1 41 -10 1 42 -7 1 43 -10 1 44 -6 1 45 -4 1 46 -2 1 47 -13 1 48 -10 1 49 -8 1 50 -2 1 51 -4 1 52 -6 1 53 -8 1 54 10 1 55 -7 1 56 -4 1 57 -6 1 58 11 1 59 25 1 60 4 1 61 -6 1 62 -3 1 63 -5 1 64 -7 1 65 12 1 66 -12 1 67 2 1 68 -6 1 69 0 2 1 0 2 2 4 2 3 4 2 4 -8 2 5 2 2 6 -9 2 7 -1 2 8 0 2 9 0 2 10 -13 2 11 -5 2 12 -6 2 13 -7 2 14 3 2 15 -11 2 16 -15 2 17 -1 2 18 -4 2 19 -4 2 20 0 2 21 -1 2 22 -14 2 23 -8 2 24 -7 2 25 -14 2 26 0 2 27 -9 2 28 -19 2 29 -2 2 30 -7 2 31 -5 2 32 2 2 33 -5 2 34 -8 2 35 -10 2 36 -3 2 37 -8 2 38 -8 2 39 -11 2 40 -12 2 41 -7 2 42 0 2 43 -12 2 44 -2 2 45 0 2 46 -15 2 47 -7 2 48 0 2 49 -4 2 50 0 2 51 0 2 52 -2 2 53 -9 2 54 19 2 55 -10 2 56 0 2 57 -1 2 58 8 2 59 32 2 60 15 2 61 -12 2 62 -3 2 63 -4 2 64 0 2 65 18 2 66 -8 2 67 0 2 68 -2 2 69 1 3 1 21 3 2 19 3 3 7 3 4 4 3 5 12 3 6 10 3 7 8 3 8 7 3 9 13 3 10 6 3 11 8 3 12 10 3 13 11 3 14 11 3 15 8 3 16 -4 3 17 8 3 18 -15 3 19 12 3 20 -25 3 21 18 3 22 -11 3 23 0 3 24 -5 3 25 3 3 26 19 3 27 0 3 28 -13 3 29 8 3 30 -8 3 31 4 3 32 1 3 33 -2 3 34 -15 3 35 -8 3 36 -1 3 37 -12 3 38 3 3 39 -5 3 40 -11 3 41 0 3 42 -5 3 43 1 3 44 -3 3 45 -3 3 46 -6 3 47 -3 3 48 -1 3 49 -10 3 50 0 3 51 0 3 52 5 3 53 8 3 54 19 3 55 -2 3 56 4 3 57 6 3 58 13 3 59 34 3 60 12 3 61 -10 3 62 -4 3 63 6 3 64 -3 3 65 24 3 66 6 3 67 -5 3 68 4 3 69 0 4 1 -3 4 2 -14 4 3 4 4 4 -13 4 5 6 4 6 -1 4 7 0 4 8 8 4 9 3 4 10 0 4 11 2 4 12 1 4 13 12 4 14 16 4 15 3 4 16 -4 4 17 1 4 18 4 4 19 13 4 20 17 4 21 -3 4 22 -5 4 23 10 4 24 6 4 25 2 4 26 3 4 27 -5 4 28 -10 4 29 -4 4 30 -9 4 31 -4 4 32 -4 4 33 -1 4 34 -10 4 35 -8 4 36 -6 4 37 2 4 38 7 4 39 5 4 40 -14 4 41 -3 4 42 2 4 43 2 4 44 8 4 45 2 4 46 13 4 47 -7 4 48 -5 4 49 -3 4 50 -1 4 51 -3 4 52 -5 4 53 5 4 54 30 4 55 -9 4 56 0 4 57 8 4 58 20 4 59 38 4 60 10 4 61 -5 4 62 -2 4 63 0 4 64 -3 4 65 14 4 66 4 4 67 -4 4 68 0 4 69 3 5 1 1 5 2 -3 5 3 9 5 4 13 5 5 0 5 6 -13 5 7 11 5 8 6 5 9 7 5 10 -10 5 11 -6 5 12 7 5 13 -1 5 14 19 5 15 -3 5 16 -46 5 17 0 5 18 0 5 19 4 5 20 -2 5 21 15 5 22 -7 5 23 1 5 24 -4 5 25 -11 5 26 -6 5 27 -11 5 28 -14 5 29 -3 5 30 3 5 31 -8 5 32 -5 5 33 -8 5 34 -12 5 35 -6 5 36 -2 5 37 33 5 38 -6 5 39 -1 5 40 2 5 41 -5 5 42 0 5 43 12 5 44 2 5 45 -6 5 46 -12 5 47 -7 5 48 -7 5 49 -9 5 50 4 5 51 9 5 52 13 5 53 3 5 54 11 5 55 -4 5 56 4 5 57 8 5 58 6 5 59 26 5 60 17 5 61 -7 5 62 0 5 63 10 5 64 1 5 65 15 5 66 4 5 67 0 5 68 2 5 69 -2 6 1 21 6 2 16 6 3 7 6 4 2 6 5 7 6 6 11 6 7 9 6 8 2 6 9 22 6 10 12 6 11 0 6 12 15 6 13 7 6 14 -8 6 15 -4 6 16 0 6 17 23 6 18 0 6 19 17 6 20 -18 6 21 3 6 22 -9 6 23 -6 6 24 -26 6 25 0 6 26 0 6 27 15 6 28 0 6 29 -5 6 30 -13 6 31 -1 6 32 -1 6 33 0 6 34 -4 6 35 -7 6 36 -11 6 37 -14 6 38 -3 6 39 -2 6 40 29 6 41 -6 6 42 -17 6 43 -11 6 44 -3 6 45 4 6 46 -3 6 47 -7 6 48 -8 6 49 -8 6 50 1 6 51 0 6 52 0 6 53 1 6 54 12 6 55 -4 6 56 0 6 57 3 6 58 11 6 59 30 6 60 11 6 61 -6 6 62 0 6 63 -2 6 64 6 6 65 14 6 66 3 6 67 -3 6 68 -5 6 69 5 7 1 100 7 2 -40 7 3 -10 7 4 -12 7 5 -2 7 6 -28 7 7 7 7 8 0 7 9 -10 7 10 -2 7 11 0 7 12 -22 7 13 11 7 14 6 7 15 -2 7 16 -2 7 17 -1 7 18 6 7 19 17 7 20 14 7 21 24 7 22 -8 7 23 5 7 24 2 7 25 -13 7 26 -3 7 27 -4 7 28 6 7 29 -10 7 30 -19 7 31 -23 7 32 -9 7 33 -8 7 34 6 7 35 -4 7 36 -12 7 37 -3 7 38 -3 7 39 -8 7 40 -14 7 41 -7 7 42 -12 7 43 -10 7 44 0 7 45 11 7 46 3 7 47 -3 7 48 -17 7 49 -17 7 50 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-7 9 42 -5 9 43 6 9 44 12 9 45 -1 9 46 -3 9 47 -3 9 48 -16 9 49 -10 9 50 -3 9 51 -3 9 52 -13 9 53 -8 9 54 10 9 55 -1 9 56 -4 9 57 -4 9 58 1 9 59 9 9 60 10 9 61 -1 9 62 -5 9 63 -5 9 64 -8 9 65 4 9 66 -11 9 67 -7 9 68 -9 9 69 3 10 1 25 10 2 -18 10 3 38 10 4 -15 10 5 15 10 6 1 10 7 -9 10 8 22 10 9 5 10 10 -10 10 11 10 10 12 -13 10 13 -15 10 14 15 10 15 -6 10 16 -12 10 17 3 10 18 1 10 19 -2 10 20 18 10 21 -3 10 22 1 10 23 6 10 24 -2 10 25 -5 10 26 5 10 27 -14 10 28 -13 10 29 -2 10 30 3 10 31 -4 10 32 16 10 33 -2 10 34 -4 10 35 6 10 36 -1 10 37 -9 10 38 3 10 39 -14 10 40 -28 10 41 -2 10 42 -9 10 43 -12 10 44 10 10 45 -6 10 46 -16 10 47 -3 10 48 -14 10 49 -6 10 50 0 10 51 4 10 52 2 10 53 -8 10 54 18 10 55 -8 10 56 0 10 57 -4 10 58 12 10 59 27 10 60 21 10 61 -22 10 62 -12 10 63 -3 10 64 4 10 65 9 10 66 -4 10 67 -11 10 68 0 10 69 1 11 1 22 11 2 23 11 3 24 11 4 8 11 5 7 11 6 11 11 7 25 11 8 21 11 9 2 11 10 24 11 11 5 11 12 8 11 13 11 11 14 15 11 15 12 11 16 0 11 17 8 11 18 -2 11 19 29 11 20 11 11 21 12 11 22 -21 11 23 19 11 24 6 11 25 -11 11 26 -3 11 27 -4 11 28 -11 11 29 -3 11 30 -6 11 31 -19 11 32 -2 11 33 0 11 34 -13 11 35 -2 11 36 -8 11 37 -7 11 38 -1 11 39 5 11 40 -16 11 41 0 11 42 -11 11 43 18 11 44 10 11 45 9 11 46 -14 11 47 5 11 48 -7 11 49 -8 11 50 -2 11 51 0 11 52 -15 11 53 -13 11 54 18 11 55 -6 11 56 -1 11 57 6 11 58 25 11 59 40 11 60 17 11 61 -9 11 62 2 11 63 5 11 64 -4 11 65 22 11 66 -7 11 67 -3 11 68 -8 11 69 0 12 1 35 12 2 62 12 3 7 12 4 18 12 5 3 12 6 -7 12 7 15 12 8 29 12 9 9 12 10 19 12 11 9 12 12 -5 12 13 31 12 14 27 12 15 26 12 16 6 12 17 18 12 18 -19 12 19 37 12 20 11 12 21 19 12 22 -14 12 23 15 12 24 8 12 25 -5 12 26 -1 12 27 -10 12 28 -13 12 29 -14 12 30 -12 12 31 7 12 32 -12 12 33 -15 12 34 -17 12 35 -10 12 36 -12 12 37 -6 12 38 -6 12 39 -8 12 40 -13 12 41 -10 12 42 -8 12 43 -6 12 44 0 12 45 -3 12 46 -7 12 47 -4 12 48 -5 12 49 -9 12 50 -9 12 51 -10 12 52 -13 12 53 -10 12 54 13 12 55 -11 12 56 -5 12 57 -5 12 58 11 12 59 36 12 60 12 12 61 -5 12 62 -8 12 63 -4 12 64 -15 12 65 25 12 66 -9 12 67 -20 12 68 -7 12 69 -9 !!!Warning!!! Truncated 1 recommended moves exceeding 100 steps !!!Warning!!! sector 7 motor 1:: move = 105 Adjuster movements: rms = 40.2 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20071010-143141 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1