Reduction started at: 20050213-185407 Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050213-173829.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 = 2402.5 max = 2431.2 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.880 mm ----------------- Data Summary --------------------- Number of samples: 370025 This is a 80 GHz map Number of frequencies: 16 Frequencies (GHz): 80.338000 80.340000 80.342000 80.344000 80.346000 80.348000 80.350000 80.352000 80.354000 80.356000 80.358000 80.360000 80.362000 80.364000 80.366000 80.368000 item min max mean loreal -3.13477 3.07861 -0.02855 loimag -3.23730 3.14209 0.00734 hireal -5.00000 4.99756 -0.45799 hiimag -5.00000 4.99756 -0.17353 xpos -2431.22804 2420.19259 -8.48324 ypos -2402.52510 2402.61887 -0.00041 plock160 0.84473 2.30225 1.63384 lorefpwr 0.25146 1.65527 1.20614 losigpwr -4.59961 -0.19775 -4.41694 hirefpwr 0.32715 1.70654 1.26616 hisigpwr -4.50195 4.99756 -0.75481 encltemp 31.66504 33.03223 32.26970 flags 0.00000 256.00000 2.76738 phi-lock -1.26221 0.12207 -0.60056 sindex 0.00000 128.00000 63.61104 time 0.00000 2948.00865 1473.10859 zeropt -0.00732 -0.00244 -0.00491 !!!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 = 40.00605 arcsec Mean row spacing = 40.00607 arcsec (alternate estimator) Mean tracking incline = 0.04601 arcsec Mean pointing range = 0.57482 arcsec Mean pointing rms = 0.10497 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (1.47, 12.8 ) 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: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22677 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22677 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 = 2431.23 arcsec Grid extent = 2540 arcsec lambda_min = 0.00373025 scale = 0.00129968 Diffraction scale lambda/D = 51.3137 arcsec Gridding function extent = 307.882 arcsec Using Gaussian * Airy regridding function Gaussian FWHM = 153.941 arcsec Airy first null at 62.5858 arcsec Gridding frequency index 0 lambda = 0.00373164 metres, scale = 0.0012992 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 = 2.989 at (0.0, 0.0) arcsec Real: mean = 0.00185194 sum of squares = 1083.11 Imag: mean = -0.00132921 sum of squares = 900.432 Gridding frequency index 1 lambda = 0.00373155 metres, scale = 0.00129923 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 = 2.98311 at (0.0, 0.0) arcsec Real: mean = 0.00136911 sum of squares = 1071.21 Imag: mean = -0.0014117 sum of squares = 910.756 Gridding frequency index 2 lambda = 0.00373145 metres, scale = 0.00129926 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 = 2.98146 at (0.0, 0.0) arcsec Real: mean = 0.000980047 sum of squares = 1004.19 Imag: mean = -0.00191615 sum of squares = 976.454 Gridding frequency index 3 lambda = 0.00373136 metres, scale = 0.00129929 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 = 3.00218 at (0.0, 0.0) arcsec Real: mean = 0.000954818 sum of squares = 927.789 Imag: mean = -0.00263312 sum of squares = 1050.86 Gridding frequency index 4 lambda = 0.00373127 metres, scale = 0.00129933 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 = 3.02504 at (0.0, 0.0) arcsec Real: mean = 0.00139619 sum of squares = 893.26 Imag: mean = -0.00312275 sum of squares = 1085.2 Gridding frequency index 5 lambda = 0.00373118 metres, scale = 0.00129936 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 = 3.06067 at (0.0, 0.0) arcsec Real: mean = 0.00189142 sum of squares = 925.44 Imag: mean = -0.00325362 sum of squares = 1053.36 Gridding frequency index 6 lambda = 0.00373108 metres, scale = 0.00129939 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 = 3.10748 at (0.0, 0.0) arcsec Real: mean = 0.002305 sum of squares = 1007.09 Imag: mean = -0.00321603 sum of squares = 976.069 Gridding frequency index 7 lambda = 0.00373099 metres, scale = 0.00129942 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 = 3.15285 at (0.0, 0.0) arcsec Real: mean = 0.00262063 sum of squares = 1079.61 Imag: mean = -0.003125 sum of squares = 907.737 Gridding frequency index 8 lambda = 0.0037309 metres, scale = 0.00129946 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 = 3.18063 at (0.0, 0.0) arcsec Real: mean = 0.00298474 sum of squares = 1089.76 Imag: mean = -0.00299518 sum of squares = 903.767 Gridding frequency index 9 lambda = 0.0037308 metres, scale = 0.00129949 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 = 3.1906 at (0.0, 0.0) arcsec Real: mean = 0.0033365 sum of squares = 1029.89 Imag: mean = -0.00261046 sum of squares = 970.101 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 = 3.17472 at (0.0, 0.0) arcsec Real: mean = 0.00339931 sum of squares = 947.499 Imag: mean = -0.00203103 sum of squares = 1058.39 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 = 3.14595 at (0.0, 0.0) arcsec Real: mean = 0.00315012 sum of squares = 907.395 Imag: mean = -0.00153033 sum of squares = 1101.15 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 = 3.10296 at (0.0, 0.0) arcsec Real: mean = 0.00273871 sum of squares = 938.288 Imag: mean = -0.00138774 sum of squares = 1072.18 Gridding frequency index 13 lambda = 0.00373043 metres, scale = 0.00129962 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 = 3.07027 at (0.0, 0.0) arcsec Real: mean = 0.00249567 sum of squares = 1016.63 Imag: mean = -0.00132459 sum of squares = 994.175 Gridding frequency index 14 lambda = 0.00373034 metres, scale = 0.00129965 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 = 3.04141 at (0.0, 0.0) arcsec Real: mean = 0.00216773 sum of squares = 1086.93 Imag: mean = -0.00134452 sum of squares = 926.934 Gridding frequency index 15 lambda = 0.00373025 metres, scale = 0.00129968 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 = 3.03713 at (0.0, 0.0) arcsec Real: mean = 0.00181383 sum of squares = 1103.16 Imag: mean = -0.00148595 sum of squares = 914.719 Masking frequency index 0 Mask scale size = 3.05893 Masking frequency index 1 Mask scale size = 3.059 Masking frequency index 2 Mask scale size = 3.05908 Masking frequency index 3 Mask scale size = 3.05916 Masking frequency index 4 Mask scale size = 3.05923 Masking frequency index 5 Mask scale size = 3.05931 Masking frequency index 6 Mask scale size = 3.05938 Masking frequency index 7 Mask scale size = 3.05946 Masking frequency index 8 Mask scale size = 3.05954 Masking frequency index 9 Mask scale size = 3.05961 Masking frequency index 10 Mask scale size = 3.05969 Masking frequency index 11 Mask scale size = 3.05977 Masking frequency index 12 Mask scale size = 3.05984 Masking frequency index 13 Mask scale size = 3.05992 Masking frequency index 14 Mask scale size = 3.05999 Masking frequency index 15 Mask scale size = 3.06007 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.17334 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.19043 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.163574 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.0170898 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 0.7843 109.4 Freq 1: Shift, scale = 0.35143 109.19 Freq 2: Shift, scale = -0.079015 107.96 Freq 3: Shift, scale = -0.51 106.44 Freq 4: Shift, scale = -0.94236 104.63 Freq 5: Shift, scale = -1.3765 103.13 Freq 6: Shift, scale = -1.816 102.26 Freq 7: Shift, scale = -2.2613 102.09 Freq 8: Shift, scale = -2.7112 102.79 Freq 9: Shift, scale = 3.1219 103.9 Freq 10: Shift, scale = 2.6736 105.3 Freq 11: Shift, scale = 2.2308 106.79 Freq 12: Shift, scale = 1.7924 108.27 Freq 13: Shift, scale = 1.3608 109.27 Freq 14: Shift, scale = 0.93371 110.14 Freq 15: Shift, scale = 0.50464 110.08 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: -0.249 radians x offset: -0.08 arcsec y offset: 0.0607 arcsec defocus: -0.00451 mm Estimated x pointing error is 1.39 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.86 arcsec (used 12.8 arcsec) Estimated defocus error is 2.875 mm (used 2.88 mm) Fitting frequency 1 Minimiser fit code = 3 piston: -0.242 radians x offset: -0.0933 arcsec y offset: 0.0507 arcsec defocus: -0.00515 mm Estimated x pointing error is 1.377 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec) Estimated defocus error is 2.875 mm (used 2.88 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.235 radians x offset: -0.0988 arcsec y offset: 0.0315 arcsec defocus: -0.0082 mm Estimated x pointing error is 1.371 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.83 arcsec (used 12.8 arcsec) Estimated defocus error is 2.872 mm (used 2.88 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.229 radians x offset: -0.103 arcsec y offset: 0.036 arcsec defocus: -0.0109 mm Estimated x pointing error is 1.367 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.84 arcsec (used 12.8 arcsec) Estimated defocus error is 2.869 mm (used 2.88 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.225 radians x offset: -0.107 arcsec y offset: 0.0433 arcsec defocus: -0.0123 mm Estimated x pointing error is 1.363 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.84 arcsec (used 12.8 arcsec) Estimated defocus error is 2.868 mm (used 2.88 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.223 radians x offset: -0.124 arcsec y offset: 0.0512 arcsec defocus: -0.0135 mm Estimated x pointing error is 1.346 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec) Estimated defocus error is 2.866 mm (used 2.88 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.226 radians x offset: -0.133 arcsec y offset: 0.0762 arcsec defocus: -0.0131 mm Estimated x pointing error is 1.337 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.88 arcsec (used 12.8 arcsec) Estimated defocus error is 2.867 mm (used 2.88 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.233 radians x offset: -0.133 arcsec y offset: 0.1 arcsec defocus: -0.011 mm Estimated x pointing error is 1.337 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.9 arcsec (used 12.8 arcsec) Estimated defocus error is 2.869 mm (used 2.88 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.245 radians x offset: -0.136 arcsec y offset: 0.106 arcsec defocus: -0.00975 mm Estimated x pointing error is 1.334 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.91 arcsec (used 12.8 arcsec) Estimated defocus error is 2.87 mm (used 2.88 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.256 radians x offset: -0.115 arcsec y offset: 0.0794 arcsec defocus: -0.00847 mm Estimated x pointing error is 1.355 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.88 arcsec (used 12.8 arcsec) Estimated defocus error is 2.872 mm (used 2.88 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.267 radians x offset: -0.0997 arcsec y offset: 0.0487 arcsec defocus: -0.0087 mm Estimated x pointing error is 1.37 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec) Estimated defocus error is 2.871 mm (used 2.88 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.271 radians x offset: -0.0715 arcsec y offset: 0.0178 arcsec defocus: -0.00874 mm Estimated x pointing error is 1.398 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.82 arcsec (used 12.8 arcsec) Estimated defocus error is 2.871 mm (used 2.88 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.271 radians x offset: -0.0466 arcsec y offset: -0.00534 arcsec defocus: -0.0108 mm Estimated x pointing error is 1.423 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.79 arcsec (used 12.8 arcsec) Estimated defocus error is 2.869 mm (used 2.88 mm) Fitting frequency 13 Minimiser fit code = 3 piston: -0.266 radians x offset: -0.0355 arcsec y offset: -0.0284 arcsec defocus: -0.0139 mm Estimated x pointing error is 1.435 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.77 arcsec (used 12.8 arcsec) Estimated defocus error is 2.866 mm (used 2.88 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.257 radians x offset: -0.0236 arcsec y offset: -0.038 arcsec defocus: -0.019 mm Estimated x pointing error is 1.446 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.76 arcsec (used 12.8 arcsec) Estimated defocus error is 2.861 mm (used 2.88 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.248 radians x offset: -0.0196 arcsec y offset: -0.0438 arcsec defocus: -0.0214 mm Estimated x pointing error is 1.45 arcsec (used 1.47 arcsec) Estimated y pointing error is 12.76 arcsec (used 12.8 arcsec) Estimated defocus error is 2.859 mm (used 2.88 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 0.00020 piston 1 1 -0.00064 tilt_x 1 -1 0.02597 tilt_y 2 2 0.05971 astigmatism_0 2 0 0.00428 curvature 2 -2 0.03079 astigmatism45 3 3 -0.01394 trefoil_0 3 1 -0.02043 coma_x 3 -1 0.06550 coma_y 3 -3 -0.02585 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 0.00018 piston 1 1 -0.00152 tilt_x 1 -1 0.02540 tilt_y 2 2 0.05977 astigmatism_0 2 0 0.00422 curvature 2 -2 0.03130 astigmatism45 3 3 -0.01182 trefoil_0 3 1 -0.02280 coma_x 3 -1 0.06388 coma_y 3 -3 -0.02571 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 0.00017 piston 1 1 -0.00204 tilt_x 1 -1 0.02546 tilt_y 2 2 0.05878 astigmatism_0 2 0 0.00427 curvature 2 -2 0.03122 astigmatism45 3 3 -0.01089 trefoil_0 3 1 -0.02378 coma_x 3 -1 0.06405 coma_y 3 -3 -0.02494 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 0.00020 piston 1 1 -0.00144 tilt_x 1 -1 0.02593 tilt_y 2 2 0.05702 astigmatism_0 2 0 0.00457 curvature 2 -2 0.03054 astigmatism45 3 3 -0.01177 trefoil_0 3 1 -0.02131 coma_x 3 -1 0.06544 coma_y 3 -3 -0.02453 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 0.00019 piston 1 1 -0.00102 tilt_x 1 -1 0.02743 tilt_y 2 2 0.05594 astigmatism_0 2 0 0.00473 curvature 2 -2 0.03073 astigmatism45 3 3 -0.01370 trefoil_0 3 1 -0.01946 coma_x 3 -1 0.06916 coma_y 3 -3 -0.02355 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 0.00020 piston 1 1 0.00009 tilt_x 1 -1 0.02865 tilt_y 2 2 0.05490 astigmatism_0 2 0 0.00495 curvature 2 -2 0.03020 astigmatism45 3 3 -0.01633 trefoil_0 3 1 -0.01580 coma_x 3 -1 0.07224 coma_y 3 -3 -0.02343 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 0.00016 piston 1 1 0.00083 tilt_x 1 -1 0.02963 tilt_y 2 2 0.05603 astigmatism_0 2 0 0.00488 curvature 2 -2 0.03024 astigmatism45 3 3 -0.01837 trefoil_0 3 1 -0.01401 coma_x 3 -1 0.07457 coma_y 3 -3 -0.02359 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 0.00018 piston 1 1 0.00148 tilt_x 1 -1 0.03007 tilt_y 2 2 0.05709 astigmatism_0 2 0 0.00487 curvature 2 -2 0.02988 astigmatism45 3 3 -0.01885 trefoil_0 3 1 -0.01256 coma_x 3 -1 0.07571 coma_y 3 -3 -0.02476 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 0.00016 piston 1 1 0.00161 tilt_x 1 -1 0.02989 tilt_y 2 2 0.05931 astigmatism_0 2 0 0.00464 curvature 2 -2 0.03062 astigmatism45 3 3 -0.01880 trefoil_0 3 1 -0.01314 coma_x 3 -1 0.07520 coma_y 3 -3 -0.02606 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 0.00018 piston 1 1 0.00139 tilt_x 1 -1 0.02932 tilt_y 2 2 0.06136 astigmatism_0 2 0 0.00445 curvature 2 -2 0.03145 astigmatism45 3 3 -0.01719 trefoil_0 3 1 -0.01455 coma_x 3 -1 0.07391 coma_y 3 -3 -0.02506 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 0.00020 piston 1 1 0.00085 tilt_x 1 -1 0.02793 tilt_y 2 2 0.06179 astigmatism_0 2 0 0.00430 curvature 2 -2 0.03125 astigmatism45 3 3 -0.01525 trefoil_0 3 1 -0.01661 coma_x 3 -1 0.07057 coma_y 3 -3 -0.02357 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 0.00022 piston 1 1 0.00073 tilt_x 1 -1 0.02675 tilt_y 2 2 0.06121 astigmatism_0 2 0 0.00425 curvature 2 -2 0.03129 astigmatism45 3 3 -0.01378 trefoil_0 3 1 -0.01706 coma_x 3 -1 0.06759 coma_y 3 -3 -0.02192 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 0.00018 piston 1 1 0.00008 tilt_x 1 -1 0.02594 tilt_y 2 2 0.06017 astigmatism_0 2 0 0.00412 curvature 2 -2 0.03110 astigmatism45 3 3 -0.01314 trefoil_0 3 1 -0.01886 coma_x 3 -1 0.06549 coma_y 3 -3 -0.02061 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 0.00016 piston 1 1 -0.00019 tilt_x 1 -1 0.02588 tilt_y 2 2 0.05911 astigmatism_0 2 0 0.00417 curvature 2 -2 0.02996 astigmatism45 3 3 -0.01473 trefoil_0 3 1 -0.01946 coma_x 3 -1 0.06568 coma_y 3 -3 -0.02044 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 0.00012 piston 1 1 -0.00037 tilt_x 1 -1 0.02638 tilt_y 2 2 0.05964 astigmatism_0 2 0 0.00415 curvature 2 -2 0.02872 astigmatism45 3 3 -0.01671 trefoil_0 3 1 -0.01993 coma_x 3 -1 0.06735 coma_y 3 -3 -0.02092 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 0.00010 piston 1 1 -0.00060 tilt_x 1 -1 0.02766 tilt_y 2 2 0.06057 astigmatism_0 2 0 0.00422 curvature 2 -2 0.02813 astigmatism45 3 3 -0.01829 trefoil_0 3 1 -0.02042 coma_x 3 -1 0.07083 coma_y 3 -3 -0.02186 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: 26.6 20.9 21.6 24.6 22.9 26.8 33.9 29.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 26.3 19.6 19.8 22.5 22 24.1 33.9 28 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.94 7.36 9.26 9.64 9.06 10.3 17 11.5 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26 21 21.6 24 23.1 26.5 33.6 29.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.7 19.9 19.9 21.8 22.1 23.7 33.9 28.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.89 7.28 9.17 9.56 9.02 10.3 16.9 11.5 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 25 20.9 21.4 23.9 23.3 26.3 34.2 29.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.7 19.8 19.8 21.7 22.3 23.5 34.6 28.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.92 7.33 9.22 9.58 8.96 10.2 16.7 11.4 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.2 21.1 21.1 24.2 23.6 26.2 34.5 29.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24 19.9 19.5 22.1 22.8 23.4 35.1 28.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.95 7.37 9.26 9.58 8.85 9.93 16.5 11.3 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 21.2 20.7 24.7 23.7 26.3 35.1 30.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.5 19.8 18.9 22.7 23.1 23.5 35.4 29.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.12 7.69 9.63 9.88 8.96 9.83 16.6 11.4 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.4 21.5 20.6 25.2 23.8 26.8 35.6 30.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.3 20.1 18.6 23.4 23.3 24.1 35.6 29.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.24 7.9 9.88 10.1 9.02 9.75 16.7 11.5 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 21.5 21.1 26 23.9 27.1 36.5 30.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.5 20 19 24.3 23.5 24.5 36.1 29.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.35 8.11 10.1 10.3 9.21 9.95 17.1 11.8 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.9 21.6 22.3 26.9 24.1 27.2 37.2 31.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.6 20.2 20.3 25.1 23.7 24.8 36.3 29.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.4 8.2 10.2 10.5 9.34 10.1 17.3 11.9 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26.4 22 23.4 27.7 24.3 27.4 37.7 31.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 26.2 20.5 21.5 25.9 23.7 25 36.6 29.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.38 8.17 10.2 10.5 9.49 10.4 17.7 12.1 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.2 22.1 24 28.1 24 27.5 37.3 31.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.1 20.6 22.1 26.2 23.4 25 36.2 29.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.32 8.07 10.1 10.4 9.56 10.6 17.8 12.2 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.3 21.8 23.8 27.7 23.6 27.3 36.6 30.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.1 20.3 22.1 25.8 23 24.8 35.7 29.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.16 7.77 9.76 10.1 9.38 10.6 17.5 11.9 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.2 21.5 22.8 27.7 23 26.9 35.3 29.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.9 20.2 21 25.7 22.3 24.3 34.8 28.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4 7.48 9.4 9.76 9.16 10.4 17.1 11.6 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.8 21.1 20.9 27.5 22.6 26.5 34.8 29.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.5 19.9 19.1 25.5 22 23.8 34.5 28.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.91 7.31 9.2 9.55 8.98 10.2 16.7 11.4 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26.9 20.8 21.1 26.3 22.5 26.5 34.3 29.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 26.7 19.8 19.2 24.2 21.9 23.8 34 28 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.93 7.34 9.23 9.55 8.9 10.1 16.6 11.3 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26.7 20.5 21.4 25.3 22.6 26.6 34.1 29.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 26.5 19.5 19.7 23.1 22 23.8 33.9 28 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.03 7.52 9.44 9.75 9.01 10.1 16.8 11.5 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26.1 20.8 21.6 24.6 22.8 26.8 34 29.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.9 19.6 19.8 22.3 22.2 23.9 33.7 28.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.23 7.89 9.88 10.2 9.27 10.3 17.3 11.8 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 21.8 19.9 19.7 23 22 25.3 33.7 28.4 Mean deviation is 2.2090195187432382 microns Taper = 10 dB, Ruze illumination-weighted rms = 27.5 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 = 25.5 micron Centre pixel: 64.0 64.0 Value = 2690.59 (estimate), 3426.12 (perfect) Strehl = 0.616724 Strehl ratio estimate = 0.6167 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 = 25.3 micron Centre pixel: 64.0 64.0 Value = 2172.66 (estimate), 3426.12 (perfect) Strehl = 0.402141 Strehl ratio estimate = 0.4021 Fitting panels... No Zernike terms to subtract before panel fitting edge scale = 0.15028 metres panel scale = 3.00000 metres mean frequency = 80.35300 GHz min edge weight = 0.1 # rng pan adj1 adj2 adj3 qsum 1 1 1 1.7 15.4 16.1 22.4 2 1 2 -1.5 15.2 31.3 34.8 3 1 3 7.9 29.8 -8.3 31.9 4 1 4 23.2 15.0 25.2 37.4 5 1 5 9.8 31.2 34.7 47.7 6 1 6 -14.3 9.5 13.1 21.6 7 1 7 -15.5 12.1 40.4 44.9 8 1 8 -20.0 47.3 64.8 82.6 9 1 9 -21.8 23.9 35.6 48.1 10 1 10 5.9 33.7 31.4 46.5 11 1 11 30.3 27.8 39.2 56.8 12 1 12 31.7 32.6 18.0 48.9 13 2 1 21.2 11.1 8.0 25.2 14 2 2 7.6 40.2 25.2 48.0 15 2 3 42.4 6.3 15.3 45.5 16 2 4 30.2 19.9 10.5 37.6 17 2 5 22.1 18.8 22.2 36.5 18 2 6 13.5 39.2 50.7 65.5 19 2 7 26.1 26.7 17.4 41.2 20 2 8 48.3 27.4 2.6 55.6 21 2 9 19.3 0.9 3.0 19.6 22 2 10 25.2 -4.4 -11.6 28.1 23 2 11 8.0 2.0 -2.6 8.7 24 2 12 0.5 1.2 -5.4 5.6 25 2 13 2.2 -17.3 -16.5 24.0 26 2 14 0.7 1.9 1.3 2.4 27 2 15 1.9 3.8 -8.8 9.8 28 2 16 41.4 -21.0 -4.5 46.6 29 2 17 27.9 9.1 11.0 31.3 30 2 18 26.1 16.2 33.1 45.2 31 2 19 33.1 14.8 29.9 47.0 32 2 20 42.1 9.3 1.3 43.1 33 2 21 37.6 -0.7 0.5 37.6 34 2 22 47.0 -2.7 3.5 47.2 35 2 23 44.7 12.7 11.6 47.9 36 2 24 21.8 4.8 18.2 28.8 37 3 1 6.4 10.5 23.8 26.8 38 3 2 7.6 2.4 14.7 16.7 39 3 3 -2.1 7.9 14.8 16.9 40 3 4 7.3 2.0 29.9 30.9 41 3 5 4.2 16.7 22.3 28.2 42 3 6 9.5 7.7 8.3 14.8 43 3 7 12.1 6.7 -6.7 15.3 44 3 8 14.9 10.3 8.1 19.9 45 3 9 18.5 6.8 6.6 20.8 46 3 10 6.7 10.1 -2.9 12.5 47 3 11 32.7 15.3 17.1 40.0 48 3 12 22.1 35.2 16.2 44.6 49 3 13 -9.7 19.8 -2.1 22.1 50 3 14 10.7 1.9 -8.2 13.7 51 3 15 -4.6 1.5 -15.9 16.6 52 3 16 5.0 -7.1 -2.8 9.1 53 3 17 12.8 2.0 -10.6 16.7 54 3 18 2.3 -2.1 -7.6 8.2 55 3 19 5.7 -1.1 -15.1 16.1 56 3 20 6.5 -8.5 -13.3 17.1 57 3 21 1.8 -13.0 0.2 13.1 58 3 22 -17.9 -13.2 -6.1 23.0 59 3 23 9.6 -8.4 -11.8 17.4 60 3 24 -29.3 -16.3 -27.0 43.0 61 3 25 -18.1 -20.0 -20.8 34.1 62 3 26 -6.8 -18.8 -21.0 29.0 63 3 27 -15.7 -13.9 -15.8 26.3 64 3 28 2.6 -20.7 -17.4 27.1 65 3 29 8.9 -13.5 -26.7 31.3 66 3 30 -4.6 -30.9 -49.3 58.4 67 3 31 -3.3 -16.4 -14.6 22.2 68 3 32 6.5 3.6 -19.7 21.1 69 3 33 14.8 1.7 -5.6 16.0 70 3 34 15.4 11.4 -24.7 31.3 71 3 35 51.2 13.8 -6.4 53.4 72 3 36 29.4 29.3 -2.2 41.5 73 3 37 44.5 31.7 13.1 56.2 74 3 38 31.3 -4.7 18.7 36.8 75 3 39 11.2 -4.7 -3.7 12.7 76 3 40 18.5 0.1 -2.0 18.6 77 3 41 22.1 3.3 7.3 23.6 78 3 42 13.5 14.1 0.5 19.5 79 3 43 15.8 13.7 -7.0 22.1 80 3 44 28.4 5.0 -3.0 28.9 81 3 45 28.1 -6.0 -7.4 29.7 82 3 46 3.5 5.6 -3.8 7.7 83 3 47 12.7 1.4 24.5 27.7 84 3 48 0.6 7.5 12.4 14.5 85 4 1 15.1 -33.6 -11.3 38.5 86 4 2 -10.0 -23.6 -17.7 31.1 87 4 3 5.6 -25.6 -42.9 50.3 88 4 4 16.3 -17.8 -43.8 50.0 89 4 5 28.1 -9.7 -22.3 37.2 90 4 6 19.7 -1.9 -8.4 21.5 91 4 7 3.7 -1.7 6.6 7.7 92 4 8 -4.4 0.8 -17.1 17.7 93 4 9 14.7 -1.5 3.6 15.2 94 4 10 2.5 -8.1 -4.2 9.5 95 4 11 -12.6 -1.6 7.2 14.6 96 4 12 17.5 17.0 1.3 24.5 97 4 13 -14.2 -3.3 10.5 18.0 98 4 14 -19.4 -0.4 -2.1 19.5 99 4 15 -22.9 -15.3 6.4 28.3 100 4 16 -23.7 -9.7 8.1 26.8 101 4 17 -14.0 -7.1 7.5 17.4 102 4 18 21.1 -22.4 2.7 30.9 103 4 19 0.3 -21.5 -34.6 40.7 104 4 20 -18.6 -30.4 -22.5 42.1 105 4 21 -28.3 -35.4 -7.2 45.9 106 4 22 -27.2 -24.4 -1.9 36.6 107 4 23 -29.3 -41.5 -24.0 56.2 108 4 24 27.6 -19.1 2.5 33.6 109 4 25 25.4 -20.4 43.2 54.1 110 4 26 -34.3 -23.2 26.7 49.3 111 4 27 -52.3 -25.9 -16.9 60.8 112 4 28 -40.9 -48.5 -18.4 66.0 113 4 29 -37.7 -43.9 -82.3 100.6 114 4 30 -39.9 -49.1 -27.5 69.0 115 4 31 -22.8 -53.0 -21.5 61.6 116 4 32 -29.6 -25.0 -29.5 48.6 117 4 33 -4.5 -23.2 -4.6 24.1 118 4 34 -17.9 -12.8 -3.2 22.2 119 4 35 -31.4 4.2 -7.5 32.5 120 4 36 -13.7 8.4 -6.0 17.1 121 4 37 39.5 16.8 1.8 42.9 122 4 38 6.8 -13.8 16.3 22.5 123 4 39 -5.7 -10.1 7.5 13.8 124 4 40 3.1 -12.7 7.3 15.0 125 4 41 -4.2 -3.6 5.5 7.8 126 4 42 14.6 -16.3 1.0 21.9 127 4 43 4.1 -19.7 21.1 29.2 128 4 44 2.2 -3.1 8.0 8.8 129 4 45 4.0 -14.5 -13.7 20.4 130 4 46 7.8 -20.7 -28.3 35.9 131 4 47 -0.2 -21.0 -40.3 45.4 132 4 48 4.2 -34.4 -14.4 37.5 133 5 1 -16.0 -19.5 -12.8 28.3 134 5 2 20.5 21.6 -43.8 52.9 135 5 3 -24.6 -22.3 -36.5 49.3 136 5 4 -8.8 -23.0 11.1 27.1 137 5 5 -15.8 -19.6 -25.9 36.1 138 5 6 -2.5 -10.5 -33.4 35.1 139 5 7 18.5 -11.4 -1.8 21.8 140 5 8 9.8 6.8 -1.2 12.0 141 5 9 -14.4 -1.9 3.1 14.9 142 5 10 4.2 11.5 1.4 12.3 143 5 11 1.9 3.0 -7.0 7.8 144 5 12 -16.5 9.3 -7.4 20.4 145 5 13 -8.4 3.6 12.9 15.8 146 5 14 1.9 19.7 -8.4 21.5 147 5 15 -11.1 11.6 17.6 23.8 148 5 16 -5.5 -0.1 7.3 9.2 149 5 17 -15.3 -8.4 -15.4 23.3 150 5 18 -22.6 -28.2 179.1 182.7 151 5 19 -32.5 -27.7 12.9 44.6 152 5 20 -17.7 1.5 -1.5 17.8 153 5 21 -9.6 -2.7 4.3 10.9 154 5 22 -3.8 15.0 -16.4 22.6 155 5 23 0.9 12.1 -17.0 20.9 156 5 24 1.7 -4.8 -9.8 11.0 157 5 25 -4.1 -9.6 -4.6 11.4 158 5 26 -1.9 3.2 -23.1 23.4 159 5 27 -13.6 12.7 5.6 19.4 160 5 28 -19.2 -28.4 14.0 37.0 161 5 29 -31.9 -24.4 -10.9 41.6 162 5 30 -32.9 -36.1 -3.7 49.0 163 5 31 -38.1 -33.3 -19.1 54.1 164 5 32 -37.6 -24.0 -29.9 53.7 165 5 33 -20.9 -41.8 2.4 46.8 166 5 34 -19.8 1.3 -8.8 21.7 167 5 35 5.4 13.7 -5.2 15.6 168 5 36 -1.0 14.4 15.4 21.1 169 5 37 3.5 17.3 23.7 29.5 170 5 38 18.7 -1.0 9.7 21.1 171 5 39 -10.4 24.5 -41.2 49.0 172 5 40 2.3 -13.9 -5.8 15.2 173 5 41 4.8 -4.7 10.7 12.7 174 5 42 2.2 -5.7 9.4 11.2 175 5 43 11.1 -4.6 -32.9 35.0 176 5 44 -2.9 -19.7 -28.3 34.6 177 5 45 6.9 -19.0 -27.1 33.8 178 5 46 -9.6 -38.6 18.3 43.7 179 5 47 41.6 22.1 -54.0 71.6 180 5 48 2.2 -19.0 -18.8 26.8 181 6 1 -30.9 -35.6 1.6 47.1 182 6 2 -18.1 -32.7 -20.3 42.5 183 6 3 -11.3 -38.8 -7.7 41.1 184 6 4 -25.2 -42.6 -34.8 60.5 185 6 5 -21.8 -22.9 -38.9 50.2 186 6 6 -36.7 -30.4 -28.0 55.2 187 6 7 -11.8 -26.9 -16.6 33.7 188 6 8 -14.5 -4.5 -30.8 34.3 189 6 9 34.8 -16.1 66.4 76.6 190 6 10 37.8 7.1 41.2 56.4 191 6 11 1.8 5.2 -0.4 5.5 192 6 12 -7.4 0.2 13.2 15.2 193 6 13 7.1 14.8 20.1 26.0 194 6 14 -14.5 11.3 12.2 22.1 195 6 15 29.7 10.8 18.4 36.5 196 6 16 26.5 -10.4 42.8 51.4 197 6 17 -12.1 -8.5 25.5 29.5 198 6 18 -6.1 -2.4 36.3 36.9 199 6 19 1.0 -3.0 39.9 40.0 200 6 20 16.3 5.7 18.3 25.2 201 6 21 -41.8 -10.2 -83.6 94.0 202 6 22 0.9 0.0 31.1 31.1 203 6 23 -17.4 4.4 19.8 26.8 204 6 24 -23.4 -10.8 26.5 37.0 205 6 25 -32.2 -11.4 16.2 37.8 206 6 26 -16.0 -8.4 0.2 18.1 207 6 27 -9.6 -9.3 8.0 15.6 208 6 28 53.0 40.3 189.0 200.3 209 6 29 -6.2 6.0 12.3 15.0 210 6 30 -26.1 -8.6 61.9 67.7 211 6 31 -36.7 -8.4 30.1 48.2 212 6 32 -30.1 -19.1 9.7 37.0 213 6 33 28.2 -8.1 156.3 159.1 214 6 34 78.3 -0.4 63.4 100.7 215 6 35 -4.6 8.7 40.1 41.3 216 6 36 5.0 55.0 37.5 66.8 217 6 37 13.8 39.2 58.4 71.7 218 6 38 19.8 13.4 25.8 35.2 219 6 39 31.6 11.0 52.2 62.0 220 6 40 -32.1 33.9 57.3 73.9 221 6 41 1.1 27.0 -2.5 27.2 222 6 42 -5.5 -18.0 17.8 25.9 223 6 43 -9.1 -19.8 4.0 22.1 224 6 44 -7.9 -19.7 -16.9 27.1 225 6 45 25.5 -40.1 22.8 52.7 226 6 46 -29.4 -41.3 11.1 51.9 227 6 47 -34.2 -37.5 -4.2 50.9 228 6 48 -35.1 -39.5 -5.8 53.1 229 7 1 -58.8 -4.0 1.2 58.9 230 7 2 -32.9 -25.5 -2.3 41.7 231 7 3 -2.5 -28.9 17.3 33.8 232 7 4 -15.3 28.2 45.7 55.8 233 7 5 4.4 -0.7 62.3 62.5 234 7 6 -15.9 10.2 52.1 55.5 235 7 7 -34.3 6.3 16.8 38.7 236 7 8 -21.3 30.7 -9.1 38.5 237 7 9 42.3 -14.6 83.0 94.3 238 7 10 37.1 39.9 46.1 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-31.1 -134.5 112.0 177.8 274 7 46 7.7 1.2 7.0 10.5 275 7 47 3.7 6.3 -20.2 21.4 276 7 48 -26.0 131.2 35.1 138.3 Creating sector-motor-move file sector motor steps 1 1 14 1 2 8 1 3 -4 1 4 -10 1 5 -13 1 6 -7 1 7 5 1 8 -8 1 9 0 1 10 -2 1 11 -11 1 12 -3 1 13 0 1 14 -7 1 15 -10 1 16 -6 1 17 -10 1 18 -5 1 19 0 1 20 -1 1 21 -18 1 22 0 1 23 -10 1 24 -9 1 25 3 1 26 -7 1 27 -2 1 28 -13 1 29 -5 1 30 5 1 31 -11 1 32 -6 1 33 -7 1 34 -13 1 35 -7 1 36 1 1 37 -13 1 38 6 1 39 6 1 40 -5 1 41 -7 1 42 -3 1 43 -3 1 44 -5 1 45 -4 1 46 -3 1 47 -10 1 48 4 1 49 4 1 50 2 1 51 0 1 52 7 1 53 12 1 54 2 1 55 4 1 56 0 1 57 2 1 58 4 1 59 0 1 60 4 1 61 7 1 62 3 1 63 1 1 64 1 1 65 6 1 66 2 1 67 9 1 68 0 1 69 2 2 1 -2 2 2 9 2 3 -6 2 4 -9 2 5 -1 2 6 -4 2 7 5 2 8 1 2 9 -10 2 10 -5 2 11 -8 2 12 -3 2 13 15 2 14 3 2 15 -4 2 16 -8 2 17 -9 2 18 -11 2 19 19 2 20 0 2 21 1 2 22 -11 2 23 -7 2 24 -6 2 25 0 2 26 2 2 27 3 2 28 -5 2 29 0 2 30 -1 2 31 0 2 32 -3 2 33 5 2 34 2 2 35 0 2 36 1 2 37 -10 2 38 -3 2 39 0 2 40 -2 2 41 0 2 42 6 2 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10 24 4 10 25 -1 10 26 -4 10 27 0 10 28 2 10 29 -3 10 30 0 10 31 -12 10 32 7 10 33 -3 10 34 2 10 35 -3 10 36 -1 10 37 2 10 38 0 10 39 5 10 40 5 10 41 -4 10 42 2 10 43 7 10 44 5 10 45 1 10 46 0 10 47 5 10 48 12 10 49 -1 10 50 -1 10 51 3 10 52 0 10 53 2 10 54 12 10 55 5 10 56 -1 10 57 9 10 58 10 10 59 1 10 60 9 10 61 4 10 62 9 10 63 13 10 64 0 10 65 10 10 66 9 10 67 0 10 68 0 10 69 5 11 1 0 11 2 -3 11 3 4 11 4 -5 11 5 -6 11 6 -2 11 7 -7 11 8 4 11 9 -13 11 10 1 11 11 -6 11 12 -2 11 13 5 11 14 3 11 15 6 11 16 5 11 17 -5 11 18 -1 11 19 10 11 20 8 11 21 10 11 22 0 11 23 8 11 24 0 11 25 -8 11 26 -6 11 27 0 11 28 2 11 29 0 11 30 0 11 31 -10 11 32 -1 11 33 3 11 34 6 11 35 -6 11 36 1 11 37 2 11 38 -1 11 39 0 11 40 0 11 41 -5 11 42 4 11 43 3 11 44 -1 11 45 1 11 46 1 11 47 -1 11 48 -1 11 49 -2 11 50 4 11 51 4 11 52 1 11 53 0 11 54 14 11 55 0 11 56 4 11 57 4 11 58 8 11 59 9 11 60 12 11 61 2 11 62 1 11 63 6 11 64 3 11 65 11 11 66 0 11 67 0 11 68 1 11 69 8 12 1 10 12 2 40 12 3 -7 12 4 -1 12 5 -12 12 6 -10 12 7 -6 12 8 1 12 9 1 12 10 -1 12 11 -11 12 12 -10 12 13 2 12 14 0 12 15 2 12 16 3 12 17 -12 12 18 -9 12 19 34 12 20 -41 12 21 -9 12 22 6 12 23 -12 12 24 7 12 25 -5 12 26 -5 12 27 0 12 28 -4 12 29 -10 12 30 1 12 31 -16 12 32 6 12 33 12 12 34 -12 12 35 -6 12 36 0 12 37 5 12 38 -11 12 39 -2 12 40 -8 12 41 -6 12 42 2 12 43 -8 12 44 -5 12 45 2 12 46 -4 12 47 -4 12 48 1 12 49 7 12 50 0 12 51 3 12 52 5 12 53 1 12 54 6 12 55 -1 12 56 1 12 57 1 12 58 10 12 59 9 12 60 5 12 61 -2 12 62 -1 12 63 8 12 64 3 12 65 13 12 66 3 12 67 3 12 68 2 12 69 0 Adjuster movements: rms = 30.8 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20050213-190003 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1