Reduction started at: 20041115-163049 Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-221936.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 = 2402.7 max = 2430.5 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.930 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 -3.09326 3.05908 -0.02259 loimag -3.29590 3.06641 0.00200 hireal -5.00000 4.99756 -0.33215 hiimag -5.00000 4.99756 -0.14298 xpos -2430.54038 2419.98433 -8.09566 ypos -2402.80538 2402.71879 -0.00522 plock160 0.65674 2.12158 1.44724 lorefpwr 0.27832 1.64795 1.22901 losigpwr -4.56055 -0.17822 -4.37941 hirefpwr 0.35156 1.70654 1.27953 hisigpwr -4.46777 4.99756 -0.78415 encltemp 31.56738 32.78809 32.08225 flags 0.00000 256.00000 2.76738 phi-lock -1.44287 -0.05859 -0.77503 sindex 0.00000 128.00000 63.61104 time 0.00000 2947.99386 1473.09190 zeropt -0.00732 -0.00244 -0.00488 !!!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 = 40.00627 arcsec Mean row spacing = 40.00629 arcsec (alternate estimator) Mean tracking incline = -0.26070 arcsec Mean pointing range = 0.76060 arcsec Mean pointing rms = 0.15156 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-1.25, 12.40 ) 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: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22680 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 = 2430.54 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 = 2.93296 at (0.0, 0.0) arcsec Real: mean = 0.00140642 sum of squares = 1079.27 Imag: mean = -0.00129087 sum of squares = 893.767 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 = 2.92249 at (0.0, 0.0) arcsec Real: mean = 0.00105489 sum of squares = 1017.12 Imag: mean = -0.00156859 sum of squares = 954.643 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 = 2.92204 at (0.0, 0.0) arcsec Real: mean = 0.000914358 sum of squares = 935.333 Imag: mean = -0.00223265 sum of squares = 1036.77 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 = 2.93136 at (0.0, 0.0) arcsec Real: mean = 0.00134538 sum of squares = 887.106 Imag: mean = -0.00297626 sum of squares = 1085.35 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 = 2.96902 at (0.0, 0.0) arcsec Real: mean = 0.00213027 sum of squares = 908.672 Imag: mean = -0.00324811 sum of squares = 1065.78 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 = 3.01673 at (0.0, 0.0) arcsec Real: mean = 0.00280767 sum of squares = 989.609 Imag: mean = -0.00301334 sum of squares = 989.383 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 = 3.08147 at (0.0, 0.0) arcsec Real: mean = 0.00315601 sum of squares = 1075.04 Imag: mean = -0.00263458 sum of squares = 910.639 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 = 3.11985 at (0.0, 0.0) arcsec Real: mean = 0.00336741 sum of squares = 1101.56 Imag: mean = -0.00228555 sum of squares = 891.694 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 = 3.14042 at (0.0, 0.0) arcsec Real: mean = 0.00354604 sum of squares = 1049.53 Imag: mean = -0.0019153 sum of squares = 950.408 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 = 3.13017 at (0.0, 0.0) arcsec Real: mean = 0.00356294 sum of squares = 960.693 Imag: mean = -0.00133489 sum of squares = 1044.7 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 = 3.11014 at (0.0, 0.0) arcsec Real: mean = 0.00325014 sum of squares = 903.917 Imag: mean = -0.000864559 sum of squares = 1103.4 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 = 3.07467 at (0.0, 0.0) arcsec Real: mean = 0.00272189 sum of squares = 919.885 Imag: mean = -0.000631584 sum of squares = 1088.55 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 = 3.04265 at (0.0, 0.0) arcsec Real: mean = 0.00227336 sum of squares = 999.169 Imag: mean = -0.000639036 sum of squares = 1010.74 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 = 3.00581 at (0.0, 0.0) arcsec Real: mean = 0.00186646 sum of squares = 1082.59 Imag: mean = -0.000782595 sum of squares = 929.746 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 = 2.9866 at (0.0, 0.0) arcsec Real: mean = 0.00152189 sum of squares = 1110.64 Imag: mean = -0.0010636 sum of squares = 905.765 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 = 2.9747 at (0.0, 0.0) arcsec Real: mean = 0.0012944 sum of squares = 1068.56 Imag: mean = -0.00163518 sum of squares = 951.37 Masking frequency index 0 Mask scale size = 3.05917 Masking frequency index 1 Mask scale size = 3.05925 Masking frequency index 2 Mask scale size = 3.05933 Masking frequency index 3 Mask scale size = 3.0594 Masking frequency index 4 Mask scale size = 3.05948 Masking frequency index 5 Mask scale size = 3.05955 Masking frequency index 6 Mask scale size = 3.05963 Masking frequency index 7 Mask scale size = 3.05971 Masking frequency index 8 Mask scale size = 3.05978 Masking frequency index 9 Mask scale size = 3.05986 Masking frequency index 10 Mask scale size = 3.05994 Masking frequency index 11 Mask scale size = 3.06001 Masking frequency index 12 Mask scale size = 3.06009 Masking frequency index 13 Mask scale size = 3.06016 Masking frequency index 14 Mask scale size = 3.06024 Masking frequency index 15 Mask scale size = 3.06032 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.195312 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.166016 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.168457 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.178223 Median point-to-point PLL voltage change: 0.0146484 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 0.45023 108.28 Freq 1: Shift, scale = 0.01573 107.46 Freq 2: Shift, scale = -0.41819 106.21 Freq 3: Shift, scale = -0.85009 104.48 Freq 4: Shift, scale = -1.2831 102.81 Freq 5: Shift, scale = -1.7182 101.35 Freq 6: Shift, scale = -2.1602 100.94 Freq 7: Shift, scale = -2.6067 101.2 Freq 8: Shift, scale = -3.0541 102.48 Freq 9: Shift, scale = 2.7799 103.93 Freq 10: Shift, scale = 2.3339 105.72 Freq 11: Shift, scale = 1.8924 107.17 Freq 12: Shift, scale = 1.455 108.22 Freq 13: Shift, scale = 1.0234 108.66 Freq 14: Shift, scale = 0.59468 108.65 Freq 15: Shift, scale = 0.16747 108.37 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: -0.198 radians x offset: 0.0833 arcsec y offset: -0.0272 arcsec defocus: -0.0127 mm Estimated x pointing error is -1.167 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.37 arcsec (used 12.4 arcsec) Estimated defocus error is 2.917 mm (used 2.93 mm) Fitting frequency 1 Minimiser fit code = 3 piston: -0.195 radians x offset: 0.0856 arcsec y offset: -0.0394 arcsec defocus: -0.0154 mm Estimated x pointing error is -1.164 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.36 arcsec (used 12.4 arcsec) Estimated defocus error is 2.915 mm (used 2.93 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.191 radians x offset: 0.0893 arcsec y offset: -0.0499 arcsec defocus: -0.017 mm Estimated x pointing error is -1.161 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.35 arcsec (used 12.4 arcsec) Estimated defocus error is 2.913 mm (used 2.93 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.186 radians x offset: 0.086 arcsec y offset: -0.0209 arcsec defocus: -0.0179 mm Estimated x pointing error is -1.164 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.38 arcsec (used 12.4 arcsec) Estimated defocus error is 2.912 mm (used 2.93 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.181 radians x offset: 0.0698 arcsec y offset: 0.00796 arcsec defocus: -0.0177 mm Estimated x pointing error is -1.18 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.41 arcsec (used 12.4 arcsec) Estimated defocus error is 2.912 mm (used 2.93 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.18 radians x offset: 0.0631 arcsec y offset: 0.0525 arcsec defocus: -0.0181 mm Estimated x pointing error is -1.187 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.45 arcsec (used 12.4 arcsec) Estimated defocus error is 2.912 mm (used 2.93 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.184 radians x offset: 0.0473 arcsec y offset: 0.0759 arcsec defocus: -0.0168 mm Estimated x pointing error is -1.203 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.48 arcsec (used 12.4 arcsec) Estimated defocus error is 2.913 mm (used 2.93 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.192 radians x offset: 0.0491 arcsec y offset: 0.0671 arcsec defocus: -0.0148 mm Estimated x pointing error is -1.201 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.47 arcsec (used 12.4 arcsec) Estimated defocus error is 2.915 mm (used 2.93 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.201 radians x offset: 0.0423 arcsec y offset: 0.0329 arcsec defocus: -0.0151 mm Estimated x pointing error is -1.208 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.43 arcsec (used 12.4 arcsec) Estimated defocus error is 2.915 mm (used 2.93 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.212 radians x offset: 0.0661 arcsec y offset: -0.0163 arcsec defocus: -0.0159 mm Estimated x pointing error is -1.184 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.38 arcsec (used 12.4 arcsec) Estimated defocus error is 2.914 mm (used 2.93 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.22 radians x offset: 0.101 arcsec y offset: -0.0715 arcsec defocus: -0.0165 mm Estimated x pointing error is -1.149 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.33 arcsec (used 12.4 arcsec) Estimated defocus error is 2.914 mm (used 2.93 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.224 radians x offset: 0.151 arcsec y offset: -0.113 arcsec defocus: -0.0184 mm Estimated x pointing error is -1.099 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.29 arcsec (used 12.4 arcsec) Estimated defocus error is 2.912 mm (used 2.93 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.224 radians x offset: 0.176 arcsec y offset: -0.122 arcsec defocus: -0.0209 mm Estimated x pointing error is -1.074 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.28 arcsec (used 12.4 arcsec) Estimated defocus error is 2.909 mm (used 2.93 mm) Fitting frequency 13 Minimiser fit code = 3 piston: -0.218 radians x offset: 0.212 arcsec y offset: -0.111 arcsec defocus: -0.0231 mm Estimated x pointing error is -1.038 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.29 arcsec (used 12.4 arcsec) Estimated defocus error is 2.907 mm (used 2.93 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.209 radians x offset: 0.208 arcsec y offset: -0.0934 arcsec defocus: -0.024 mm Estimated x pointing error is -1.042 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.31 arcsec (used 12.4 arcsec) Estimated defocus error is 2.906 mm (used 2.93 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.196 radians x offset: 0.195 arcsec y offset: -0.0554 arcsec defocus: -0.0221 mm Estimated x pointing error is -1.055 arcsec (used -1.25 arcsec) Estimated y pointing error is 12.34 arcsec (used 12.4 arcsec) Estimated defocus error is 2.908 mm (used 2.93 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 -0.00071 piston 1 1 0.00166 tilt_x 1 -1 -0.01274 tilt_y 2 2 0.07404 astigmatism_0 2 0 -0.00123 curvature 2 -2 0.01732 astigmatism45 3 3 0.03716 trefoil_0 3 1 -0.01034 coma_x 3 -1 -0.03998 coma_y 3 -3 0.03423 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 -0.00058 piston 1 1 0.00119 tilt_x 1 -1 -0.01339 tilt_y 2 2 0.07131 astigmatism_0 2 0 -0.00083 curvature 2 -2 0.01734 astigmatism45 3 3 0.03823 trefoil_0 3 1 -0.01093 coma_x 3 -1 -0.04200 coma_y 3 -3 0.03661 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 -0.00051 piston 1 1 0.00147 tilt_x 1 -1 -0.01272 tilt_y 2 2 0.07078 astigmatism_0 2 0 -0.00044 curvature 2 -2 0.01752 astigmatism45 3 3 0.03865 trefoil_0 3 1 -0.00982 coma_x 3 -1 -0.04013 coma_y 3 -3 0.03631 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 -0.00046 piston 1 1 0.00192 tilt_x 1 -1 -0.01211 tilt_y 2 2 0.07115 astigmatism_0 2 0 -0.00017 curvature 2 -2 0.01707 astigmatism45 3 3 0.03783 trefoil_0 3 1 -0.00843 coma_x 3 -1 -0.03817 coma_y 3 -3 0.03516 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 -0.00049 piston 1 1 0.00310 tilt_x 1 -1 -0.01077 tilt_y 2 2 0.07337 astigmatism_0 2 0 -0.00000 curvature 2 -2 0.01631 astigmatism45 3 3 0.03673 trefoil_0 3 1 -0.00531 coma_x 3 -1 -0.03394 coma_y 3 -3 0.03323 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 -0.00055 piston 1 1 0.00415 tilt_x 1 -1 -0.00953 tilt_y 2 2 0.07595 astigmatism_0 2 0 -0.00001 curvature 2 -2 0.01558 astigmatism45 3 3 0.03531 trefoil_0 3 1 -0.00300 coma_x 3 -1 -0.02999 coma_y 3 -3 0.03027 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 -0.00063 piston 1 1 0.00521 tilt_x 1 -1 -0.00845 tilt_y 2 2 0.07900 astigmatism_0 2 0 -0.00015 curvature 2 -2 0.01583 astigmatism45 3 3 0.03352 trefoil_0 3 1 -0.00097 coma_x 3 -1 -0.02660 coma_y 3 -3 0.02849 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 -0.00069 piston 1 1 0.00570 tilt_x 1 -1 -0.00833 tilt_y 2 2 0.08042 astigmatism_0 2 0 -0.00041 curvature 2 -2 0.01618 astigmatism45 3 3 0.03305 trefoil_0 3 1 -0.00028 coma_x 3 -1 -0.02583 coma_y 3 -3 0.02783 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 -0.00075 piston 1 1 0.00539 tilt_x 1 -1 -0.00923 tilt_y 2 2 0.08143 astigmatism_0 2 0 -0.00085 curvature 2 -2 0.01672 astigmatism45 3 3 0.03320 trefoil_0 3 1 -0.00166 coma_x 3 -1 -0.02813 coma_y 3 -3 0.03079 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 -0.00073 piston 1 1 0.00504 tilt_x 1 -1 -0.01063 tilt_y 2 2 0.07959 astigmatism_0 2 0 -0.00098 curvature 2 -2 0.01582 astigmatism45 3 3 0.03371 trefoil_0 3 1 -0.00232 coma_x 3 -1 -0.03172 coma_y 3 -3 0.03446 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 -0.00071 piston 1 1 0.00441 tilt_x 1 -1 -0.01192 tilt_y 2 2 0.07761 astigmatism_0 2 0 -0.00112 curvature 2 -2 0.01571 astigmatism45 3 3 0.03444 trefoil_0 3 1 -0.00366 coma_x 3 -1 -0.03578 coma_y 3 -3 0.03891 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 -0.00066 piston 1 1 0.00417 tilt_x 1 -1 -0.01223 tilt_y 2 2 0.07464 astigmatism_0 2 0 -0.00096 curvature 2 -2 0.01526 astigmatism45 3 3 0.03608 trefoil_0 3 1 -0.00335 coma_x 3 -1 -0.03713 coma_y 3 -3 0.04174 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 -0.00059 piston 1 1 0.00358 tilt_x 1 -1 -0.01223 tilt_y 2 2 0.07401 astigmatism_0 2 0 -0.00082 curvature 2 -2 0.01481 astigmatism45 3 3 0.03560 trefoil_0 3 1 -0.00490 coma_x 3 -1 -0.03746 coma_y 3 -3 0.04118 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 -0.00055 piston 1 1 0.00360 tilt_x 1 -1 -0.01195 tilt_y 2 2 0.07484 astigmatism_0 2 0 -0.00059 curvature 2 -2 0.01511 astigmatism45 3 3 0.03470 trefoil_0 3 1 -0.00515 coma_x 3 -1 -0.03700 coma_y 3 -3 0.03809 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 -0.00049 piston 1 1 0.00374 tilt_x 1 -1 -0.01137 tilt_y 2 2 0.07656 astigmatism_0 2 0 -0.00031 curvature 2 -2 0.01401 astigmatism45 3 3 0.03376 trefoil_0 3 1 -0.00512 coma_x 3 -1 -0.03516 coma_y 3 -3 0.03434 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 -0.00051 piston 1 1 0.00321 tilt_x 1 -1 -0.01058 tilt_y 2 2 0.07914 astigmatism_0 2 0 -0.00037 curvature 2 -2 0.01317 astigmatism45 3 3 0.03263 trefoil_0 3 1 -0.00706 coma_x 3 -1 -0.03283 coma_y 3 -3 0.03145 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: 30.2 18.6 19.1 22.6 23.9 27.3 35 27.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 18.2 17.8 20.4 21.7 22.6 35.6 26 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.39 4.59 6.13 7.29 8.99 12.4 18.2 11.7 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.3 18.4 19.5 22.5 24.3 27 35.3 27.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 18 18.1 20.3 22.1 22.6 35.8 26.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.51 4.79 6.33 7.4 8.92 12.2 18.1 11.6 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.1 18.1 19.5 22.5 24.8 27 35.8 28.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.4 17.7 18.1 20.5 22.6 22.7 36.1 26.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.39 4.58 6.09 7.2 8.82 12.1 18 11.5 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.7 18 19.4 22.9 25.4 27.4 35.8 28.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28 17.7 18 21 23.1 23.2 36.3 27.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.27 4.36 5.84 7 8.72 12.1 17.8 11.4 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.9 18.1 19.2 23.2 25.5 28.1 35.5 28.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.2 17.9 17.9 21.5 23.3 23.7 36.1 27.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2 3.9 5.35 6.67 8.69 12.2 17.7 11.3 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.5 18.3 19.1 23.8 25.7 28.9 35 28.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.7 18.2 17.9 22.2 23.6 24.4 35.9 27.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.77 3.5 4.95 6.41 8.69 12.3 17.7 11.3 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.7 18.5 19.5 24.4 25.4 29.4 35.3 28.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 18.4 18.4 23.1 23.2 24.6 36.2 27.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.58 3.19 4.66 6.29 8.81 12.6 17.9 11.4 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.1 18.6 20 24.9 25.3 29.6 35.5 28.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.3 18.5 19 23.6 23.1 24.8 36.5 27.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.54 3.13 4.62 6.3 8.9 12.7 18.1 11.5 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.4 19.1 20.5 24.8 24.6 29.6 35.9 28.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.6 18.9 19.5 23.4 22.4 24.6 36.8 27.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.67 3.36 4.88 6.54 9.1 13 18.5 11.7 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.5 19.4 20.9 24 24.3 29.3 35.9 28.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.6 19.1 19.9 22.5 22 24.3 36.8 27.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.86 3.69 5.21 6.74 9.09 12.9 18.5 11.8 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 19.2 20.7 23.5 24.1 28.7 35.8 28.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 18.9 19.6 21.9 21.8 23.8 36.5 26.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.09 4.08 5.62 7.02 9.15 12.8 18.7 11.9 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.8 18.9 19.9 24.2 24.4 28 35.5 27.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.1 18.7 18.7 22.5 22.1 23.2 36.2 26.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.16 4.19 5.71 7.05 9.04 12.6 18.6 11.8 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.4 18.6 18.9 23.8 24.5 27.4 35.5 27.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.7 18.3 17.7 22.1 22.2 22.8 35.9 26.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.19 4.24 5.75 7.04 8.97 12.5 18.4 11.7 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.7 18.3 18.9 23.3 24.6 27.3 35.2 27.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.9 18.1 17.7 21.5 22.4 22.8 35.5 26.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.17 4.2 5.71 7 8.93 12.5 18.2 11.6 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 18.3 19.1 22.6 24.6 27.2 34.9 27.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.7 18.1 17.8 20.7 22.4 22.7 35.2 26.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.07 4.03 5.52 6.86 8.9 12.5 18.1 11.5 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.3 18.6 19.3 22.3 24.6 27.4 34.4 27.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 18.4 18.1 20.4 22.5 22.8 34.8 26.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.96 3.85 5.35 6.76 8.96 12.6 18.2 11.6 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 26.8 16.8 17.8 21.2 23.5 26.8 33.7 26.5 Mean deviation is 0.64310839360775662 microns Taper = 10 dB, Ruze illumination-weighted rms = 25.5 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 = 23.0 micron Centre pixel: 64.0 64.0 Value = 2815.32 (estimate), 3426.12 (perfect) Strehl = 0.67523 Strehl ratio estimate = 0.6752 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 = 22.5 micron Centre pixel: 64.0 64.0 Value = 2389.88 (estimate), 3426.12 (perfect) Strehl = 0.486572 Strehl ratio estimate = 0.4866 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 -8.5 7.3 6.8 13.1 2 1 2 3.0 8.3 15.0 17.4 3 1 3 19.7 17.2 -11.5 28.6 4 1 4 6.9 -1.3 -31.9 32.6 5 1 5 -25.2 17.1 57.3 64.9 6 1 6 -12.4 7.0 11.5 18.4 7 1 7 -13.7 13.9 33.0 38.4 8 1 8 -26.3 39.7 49.8 68.9 9 1 9 -87.1 -16.5 8.8 89.1 10 1 10 -9.8 10.3 40.5 42.9 11 1 11 24.4 14.4 13.4 31.3 12 1 12 -1.7 3.7 13.2 13.8 13 2 1 19.5 -28.4 -26.4 43.4 14 2 2 3.9 -1.4 -13.6 14.2 15 2 3 32.2 -31.6 -32.9 55.8 16 2 4 6.4 -14.3 -2.8 15.9 17 2 5 16.8 -1.0 8.0 18.6 18 2 6 0.8 17.5 32.0 36.5 19 2 7 0.5 19.4 0.5 19.4 20 2 8 11.8 11.9 14.3 22.1 21 2 9 26.7 -5.7 -7.2 28.3 22 2 10 -0.6 5.0 7.8 9.3 23 2 11 -3.7 1.8 0.9 4.2 24 2 12 -1.9 -1.1 -3.7 4.3 25 2 13 3.4 -6.1 -8.2 10.8 26 2 14 2.9 -9.8 -2.1 10.4 27 2 15 11.1 -7.8 -12.2 18.2 28 2 16 16.2 -3.9 1.0 16.7 29 2 17 14.9 -2.0 -5.2 15.9 30 2 18 0.2 11.2 -5.6 12.6 31 2 19 -2.1 -18.8 7.2 20.3 32 2 20 23.4 -11.3 -10.2 27.9 33 2 21 13.4 4.1 -11.7 18.2 34 2 22 22.9 -13.3 -12.3 29.2 35 2 23 26.3 -17.1 -8.9 32.6 36 2 24 14.6 -19.2 -23.9 34.0 37 3 1 -16.7 4.5 -8.2 19.1 38 3 2 -5.4 -4.3 -4.2 8.1 39 3 3 -23.7 -8.3 -9.7 27.0 40 3 4 -14.6 -14.1 10.3 22.8 41 3 5 -19.8 0.1 1.4 19.8 42 3 6 -32.1 -7.0 0.6 32.8 43 3 7 -20.9 -9.3 -17.2 28.7 44 3 8 -9.5 1.6 -4.0 10.4 45 3 9 16.0 -4.7 3.4 17.1 46 3 10 -1.8 5.6 7.7 9.7 47 3 11 21.2 10.8 13.9 27.5 48 3 12 13.2 26.7 6.7 30.5 49 3 13 -7.1 22.2 31.3 39.0 50 3 14 24.3 12.6 23.6 36.2 51 3 15 -5.8 9.9 24.1 26.6 52 3 16 10.0 10.2 24.3 28.2 53 3 17 13.4 13.8 24.7 31.3 54 3 18 16.2 16.9 30.1 38.1 55 3 19 19.6 15.5 7.5 26.1 56 3 20 17.3 13.1 6.7 22.7 57 3 21 18.2 2.1 9.9 20.9 58 3 22 6.0 3.6 2.4 7.4 59 3 23 13.4 1.5 -11.1 17.4 60 3 24 -4.0 -5.0 -20.8 21.7 61 3 25 6.8 -9.3 -14.1 18.2 62 3 26 -8.1 2.5 -10.8 13.8 63 3 27 -1.4 5.1 2.8 6.0 64 3 28 29.6 8.3 -5.6 31.3 65 3 29 25.1 11.8 7.6 28.8 66 3 30 7.9 -0.3 -0.8 8.0 67 3 31 10.3 15.6 23.1 29.8 68 3 32 15.3 18.6 19.8 31.2 69 3 33 19.7 21.6 28.5 40.9 70 3 34 9.5 2.8 16.0 18.8 71 3 35 37.0 13.9 -5.6 39.9 72 3 36 7.1 12.0 1.2 14.0 73 3 37 19.8 8.3 -19.2 28.8 74 3 38 11.8 18.0 -5.4 22.2 75 3 39 11.8 18.3 -0.3 21.7 76 3 40 36.9 1.2 5.0 37.3 77 3 41 11.9 4.8 4.0 13.5 78 3 42 -7.3 9.5 1.1 12.0 79 3 43 -15.1 8.3 -6.8 18.6 80 3 44 8.4 4.4 -3.4 10.0 81 3 45 10.7 -3.3 3.8 11.8 82 3 46 -6.9 -0.3 -3.5 7.8 83 3 47 4.8 -0.7 -9.8 11.0 84 3 48 -21.6 3.6 -24.0 32.5 85 4 1 1.6 -21.5 -11.6 24.5 86 4 2 -30.3 -24.5 -37.8 54.3 87 4 3 -17.1 -30.1 -47.9 59.1 88 4 4 -8.6 -19.9 -53.6 57.8 89 4 5 7.7 -10.8 -31.3 34.0 90 4 6 2.4 -7.9 -19.7 21.3 91 4 7 10.1 -7.0 -13.0 17.9 92 4 8 -4.3 -0.0 -20.9 21.3 93 4 9 -2.6 -5.4 -13.1 14.4 94 4 10 -2.1 8.4 -25.1 26.6 95 4 11 -10.0 18.1 10.1 23.0 96 4 12 7.5 7.9 -6.3 12.6 97 4 13 13.0 3.9 38.2 40.5 98 4 14 -7.6 19.9 9.0 23.1 99 4 15 15.7 17.9 25.8 35.2 100 4 16 2.8 19.7 24.2 31.3 101 4 17 22.7 27.8 10.7 37.5 102 4 18 34.1 2.4 25.3 42.5 103 4 19 9.7 -1.0 -13.6 16.7 104 4 20 1.7 -2.6 -10.9 11.3 105 4 21 -9.8 -10.6 1.3 14.5 106 4 22 -26.3 3.5 9.9 28.3 107 4 23 -19.2 -19.3 -5.5 27.8 108 4 24 56.0 2.2 13.0 57.5 109 4 25 45.8 1.2 50.2 68.0 110 4 26 -12.7 5.5 36.0 38.6 111 4 27 -27.5 -1.3 10.3 29.4 112 4 28 -20.3 -5.2 11.5 23.9 113 4 29 -26.7 6.8 -36.8 46.0 114 4 30 -17.0 -8.4 10.4 21.6 115 4 31 2.1 -6.6 6.0 9.2 116 4 32 7.4 25.8 -8.4 28.1 117 4 33 6.5 15.4 19.3 25.5 118 4 34 24.8 13.5 19.6 34.3 119 4 35 -51.2 20.2 -33.0 64.2 120 4 36 -12.3 2.0 -8.9 15.4 121 4 37 20.6 3.4 -24.8 32.4 122 4 38 1.7 6.8 3.7 7.9 123 4 39 2.5 8.4 -11.0 14.1 124 4 40 -12.8 -1.8 -6.7 14.5 125 4 41 -3.5 14.8 5.4 16.1 126 4 42 18.9 -3.1 -7.1 20.4 127 4 43 1.5 -3.7 -10.3 11.1 128 4 44 -5.2 3.0 -9.9 11.6 129 4 45 -14.3 -6.5 -13.7 20.8 130 4 46 -14.0 -17.9 -17.2 28.4 131 4 47 -40.5 -18.2 -56.0 71.5 132 4 48 -17.0 -25.1 -23.4 38.3 133 5 1 -27.8 -5.0 -7.2 29.1 134 5 2 9.4 22.8 -33.4 41.6 135 5 3 -55.8 -2.2 -38.7 67.9 136 5 4 -12.9 -15.9 2.6 20.7 137 5 5 -25.4 -8.3 -3.2 26.9 138 5 6 -14.0 -5.3 -22.7 27.2 139 5 7 3.9 -1.6 -7.4 8.6 140 5 8 -8.0 7.1 -15.0 18.4 141 5 9 -1.0 -1.7 8.1 8.3 142 5 10 -10.4 16.2 -7.0 20.5 143 5 11 28.4 -2.3 14.1 31.8 144 5 12 -6.8 19.3 26.4 33.4 145 5 13 4.1 20.7 22.7 31.0 146 5 14 9.7 53.8 -3.7 54.8 147 5 15 20.2 44.3 20.7 52.9 148 5 16 16.6 22.1 11.4 29.9 149 5 17 2.2 11.6 0.6 11.9 150 5 18 6.3 -5.0 199.1 199.3 151 5 19 -3.6 -5.0 -3.8 7.2 152 5 20 4.6 -0.8 -17.1 17.7 153 5 21 1.7 -4.7 -30.6 31.0 154 5 22 2.4 -1.5 -47.4 47.5 155 5 23 -1.2 -12.3 -65.8 66.9 156 5 24 -5.9 -32.7 -62.3 70.6 157 5 25 -2.4 -32.1 -65.4 72.9 158 5 26 4.8 -3.6 -65.5 65.8 159 5 27 30.6 1.8 -39.1 49.7 160 5 28 21.9 -4.9 -21.7 31.3 161 5 29 38.4 1.3 -8.4 39.3 162 5 30 21.9 12.0 11.2 27.4 163 5 31 2.9 18.0 16.9 24.8 164 5 32 0.0 -1.7 11.2 11.4 165 5 33 26.2 -3.9 16.4 31.2 166 5 34 5.4 16.9 3.3 18.0 167 5 35 -6.6 30.2 -37.5 48.6 168 5 36 -8.8 6.9 -37.4 39.0 169 5 37 -9.2 0.2 -19.6 21.7 170 5 38 26.6 2.3 -25.8 37.1 171 5 39 -8.0 30.2 -64.3 71.5 172 5 40 -6.1 0.9 -22.3 23.1 173 5 41 -1.1 2.7 -16.6 16.8 174 5 42 -3.8 -3.7 -18.2 18.9 175 5 43 8.3 -0.6 -16.1 18.1 176 5 44 4.7 6.9 -21.8 23.3 177 5 45 8.6 2.6 -25.2 26.7 178 5 46 -10.5 1.4 12.4 16.3 179 5 47 23.0 15.5 -37.2 46.4 180 5 48 -13.5 -5.0 -5.8 15.5 181 6 1 -2.1 -25.5 -39.3 46.9 182 6 2 -3.3 -26.6 -45.7 53.0 183 6 3 26.2 -23.5 -12.2 37.3 184 6 4 -39.0 -18.1 -51.9 67.4 185 6 5 -6.8 -10.4 -10.9 16.5 186 6 6 -3.5 -9.2 -23.3 25.3 187 6 7 -14.8 -11.7 -15.8 24.6 188 6 8 -22.8 -8.6 -27.5 36.7 189 6 9 10.3 -7.1 30.9 33.3 190 6 10 35.6 8.6 28.9 46.7 191 6 11 1.3 13.3 -3.3 13.8 192 6 12 10.3 34.4 4.1 36.1 193 6 13 19.3 27.0 24.4 41.2 194 6 14 4.3 33.3 15.5 37.0 195 6 15 29.1 23.9 29.6 47.9 196 6 16 20.7 1.3 25.6 32.9 197 6 17 -12.0 1.9 -5.9 13.5 198 6 18 1.1 -13.8 -5.1 14.7 199 6 19 -22.6 -21.3 -10.8 32.9 200 6 20 -5.1 -25.2 -19.3 32.2 201 6 21 -90.5 -38.7 -110.6 148.1 202 6 22 -18.0 -58.0 2.9 60.8 203 6 23 -61.6 -44.7 -20.1 78.7 204 6 24 -72.3 -49.6 -21.6 90.4 205 6 25 -77.9 -51.9 -34.1 99.6 206 6 26 -72.2 -42.2 -34.3 90.4 207 6 27 -30.1 -49.6 4.5 58.2 208 6 28 -13.0 -23.6 35.9 44.9 209 6 29 -30.9 -24.2 -27.2 47.7 210 6 30 -15.0 -10.5 35.7 40.1 211 6 31 22.3 -11.4 3.7 25.3 212 6 32 10.5 0.5 8.1 13.2 213 6 33 -1.3 -4.4 124.9 125.0 214 6 34 43.0 7.3 55.1 70.3 215 6 35 -19.4 25.5 35.7 48.0 216 6 36 -12.4 24.8 46.4 54.0 217 6 37 -20.9 14.2 29.9 39.2 218 6 38 -2.9 -11.7 -2.3 12.2 219 6 39 8.4 -2.3 6.5 10.9 220 6 40 -30.1 3.9 13.8 33.4 221 6 41 -21.6 15.4 -15.0 30.4 222 6 42 -17.3 -5.2 24.9 30.7 223 6 43 -3.2 -7.3 35.2 36.1 224 6 44 -7.9 14.5 9.9 19.3 225 6 45 -5.0 5.2 55.7 56.1 226 6 46 28.7 -9.6 42.7 52.4 227 6 47 -19.1 -9.7 -15.8 26.6 228 6 48 -23.5 -27.1 -28.9 46.1 229 7 1 -28.7 13.1 -18.1 36.4 230 7 2 -33.5 -16.1 -29.5 47.4 231 7 3 -18.6 -9.4 -3.9 21.2 232 7 4 -0.1 64.1 20.5 67.3 233 7 5 -7.8 -12.5 34.0 37.0 234 7 6 4.1 31.1 12.4 33.7 235 7 7 -19.8 23.6 36.1 47.4 236 7 8 12.0 27.7 -48.0 56.7 237 7 9 32.1 18.8 57.7 68.6 238 7 10 25.3 34.4 18.0 46.4 239 7 11 9.5 30.5 -0.2 31.9 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87.2 274 7 46 25.7 40.3 21.5 52.4 275 7 47 13.2 42.7 -6.4 45.1 276 7 48 7.9 141.5 17.4 142.7 Creating sector-motor-move file sector motor steps 1 1 6 1 2 19 1 3 0 1 4 -15 1 5 -5 1 6 -11 1 7 -1 1 8 -2 1 9 -5 1 10 -3 1 11 -7 1 12 8 1 13 -9 1 14 -4 1 15 -10 1 16 -14 1 17 -8 1 18 -1 1 19 -5 1 20 4 1 21 -8 1 22 -12 1 23 -7 1 24 0 1 25 0 1 26 -4 1 27 -3 1 28 -16 1 29 -6 1 30 -2 1 31 -11 1 32 0 1 33 -17 1 34 -14 1 35 -9 1 36 -5 1 37 -10 1 38 7 1 39 2 1 40 -11 1 41 -7 1 42 -9 1 43 -2 1 44 -1 1 45 -8 1 46 -3 1 47 -6 1 48 0 1 49 -2 1 50 -2 1 51 -7 1 52 -4 1 53 0 1 54 1 1 55 -1 1 56 -1 1 57 -1 1 58 2 1 59 -2 1 60 2 1 61 -2 1 62 1 1 63 -5 1 64 -9 1 65 5 1 66 -8 1 67 3 1 68 -4 1 69 -4 2 1 -14 2 2 8 2 3 3 2 4 -8 2 5 -2 2 6 -6 2 7 11 2 8 7 2 9 -6 2 10 -4 2 11 -3 2 12 -4 2 13 3 2 14 9 2 15 1 2 16 -7 2 17 -2 2 18 -1 2 19 10 2 20 -3 2 21 -2 2 22 -3 2 23 -3 2 24 -2 2 25 -4 2 26 2 2 27 -2 2 28 -6 2 29 0 2 30 -1 2 31 -2 2 32 0 2 33 1 2 34 -3 2 35 -2 2 36 3 2 37 -6 2 38 -1 2 39 -4 2 40 -6 2 41 -2 2 42 0 2 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41 1 6 42 -8 6 43 -9 6 44 -1 6 45 0 6 46 0 6 47 -3 6 48 -3 6 49 -3 6 50 0 6 51 4 6 52 -1 6 53 0 6 54 0 6 55 0 6 56 1 6 57 1 6 58 2 6 59 -3 6 60 3 6 61 3 6 62 0 6 63 5 6 64 -1 6 65 -1 6 66 0 6 67 -6 6 68 -1 6 69 -1 7 1 60 7 2 50 7 3 0 7 4 11 7 5 -7 7 6 -3 7 7 7 7 8 1 7 9 -6 7 10 1 7 11 -15 7 12 -9 7 13 -5 7 14 1 7 15 -5 7 16 -10 7 17 -12 7 18 -22 7 19 12 7 20 2 7 21 -9 7 22 -10 7 23 -15 7 24 -23 7 25 -6 7 26 -1 7 27 6 7 28 3 7 29 -1 7 30 -6 7 31 -11 7 32 0 7 33 9 7 34 3 7 35 0 7 36 -8 7 37 -20 7 38 -1 7 39 1 7 40 11 7 41 1 7 42 -3 7 43 -20 7 44 -9 7 45 0 7 46 15 7 47 0 7 48 14 7 49 0 7 50 1 7 51 0 7 52 0 7 53 -2 7 54 0 7 55 -3 7 56 0 7 57 -2 7 58 4 7 59 -4 7 60 10 7 61 -4 7 62 -2 7 63 2 7 64 -2 7 65 1 7 66 -2 7 67 -1 7 68 2 7 69 9 8 1 -8 8 2 -1 8 3 1 8 4 2 8 5 0 8 6 3 8 7 -8 8 8 -6 8 9 1 8 10 1 8 11 -3 8 12 6 8 13 -3 8 14 -5 8 15 -5 8 16 10 8 17 -3 8 18 -4 8 19 3 8 20 0 8 21 -3 8 22 -8 8 23 -7 8 24 -9 8 25 3 8 26 0 8 27 0 8 28 -2 8 29 7 8 30 2 8 31 5 8 32 5 8 33 0 8 34 1 8 35 -2 8 36 0 8 37 3 8 38 3 8 39 6 8 40 3 8 41 -2 8 42 -5 8 43 -2 8 44 0 8 45 11 8 46 -11 8 47 2 8 48 -8 8 49 7 8 50 4 8 51 3 8 52 0 8 53 -1 8 54 4 8 55 0 8 56 0 8 57 2 8 58 12 8 59 -8 8 60 15 8 61 2 8 62 3 8 63 7 8 64 0 8 65 3 8 66 -3 8 67 6 8 68 5 8 69 4 9 1 6 9 2 9 9 3 14 9 4 14 9 5 7 9 6 -3 9 7 0 9 8 13 9 9 15 9 10 10 9 11 7 9 12 -5 9 13 -5 9 14 11 9 15 11 9 16 16 9 17 2 9 18 13 9 19 28 9 20 -55 9 21 -4 9 22 38 9 23 -1 9 24 0 9 25 -11 9 26 2 9 27 -2 9 28 -2 9 29 0 9 30 -3 9 31 -11 9 32 9 9 33 -2 9 34 -10 9 35 6 9 36 -15 9 37 1 9 38 5 9 39 1 9 40 6 9 41 4 9 42 7 9 43 5 9 44 -1 9 45 8 9 46 5 9 47 4 9 48 1 9 49 -1 9 50 4 9 51 11 9 52 -1 9 53 3 9 54 0 9 55 4 9 56 0 9 57 2 9 58 -5 9 59 -26 9 60 2 9 61 8 9 62 6 9 63 6 9 64 -5 9 65 4 9 66 -1 9 67 0 9 68 3 9 69 2 10 1 -1 10 2 32 10 3 15 10 4 4 10 5 1 10 6 -9 10 7 0 10 8 6 10 9 7 10 10 2 10 11 0 10 12 2 10 13 -5 10 14 6 10 15 9 10 16 0 10 17 -3 10 18 0 10 19 5 10 20 9 10 21 10 10 22 9 10 23 4 10 24 -6 10 25 -6 10 26 0 10 27 -1 10 28 -2 10 29 0 10 30 -3 10 31 -19 10 32 9 10 33 -2 10 34 -3 10 35 2 10 36 0 10 37 -7 10 38 0 10 39 8 10 40 1 10 41 2 10 42 0 10 43 -6 10 44 0 10 45 -2 10 46 -7 10 47 1 10 48 6 10 49 0 10 50 5 10 51 3 10 52 -3 10 53 -3 10 54 7 10 55 -1 10 56 5 10 57 3 10 58 3 10 59 -3 10 60 12 10 61 -5 10 62 2 10 63 6 10 64 1 10 65 0 10 66 2 10 67 1 10 68 0 10 69 11 11 1 3 11 2 7 11 3 2 11 4 3 11 5 4 11 6 -2 11 7 -4 11 8 6 11 9 -10 11 10 10 11 11 -2 11 12 0 11 13 6 11 14 5 11 15 13 11 16 7 11 17 -1 11 18 -5 11 19 15 11 20 1 11 21 10 11 22 -4 11 23 4 11 24 -6 11 25 -6 11 26 2 11 27 1 11 28 -3 11 29 0 11 30 -1 11 31 -4 11 32 0 11 33 2 11 34 -3 11 35 -1 11 36 0 11 37 -5 11 38 -1 11 39 -1 11 40 -2 11 41 0 11 42 5 11 43 -5 11 44 0 11 45 0 11 46 1 11 47 4 11 48 -1 11 49 -2 11 50 2 11 51 -4 11 52 -3 11 53 -4 11 54 7 11 55 0 11 56 2 11 57 -2 11 58 4 11 59 7 11 60 4 11 61 1 11 62 1 11 63 3 11 64 -5 11 65 4 11 66 -3 11 67 -1 11 68 1 11 69 2 12 1 5 12 2 43 12 3 2 12 4 -8 12 5 -8 12 6 -7 12 7 -1 12 8 13 12 9 4 12 10 -4 12 11 -2 12 12 -5 12 13 6 12 14 12 12 15 7 12 16 13 12 17 -2 12 18 8 12 19 25 12 20 -8 12 21 4 12 22 17 12 23 1 12 24 -1 12 25 -1 12 26 -1 12 27 -4 12 28 -7 12 29 -7 12 30 -5 12 31 -11 12 32 4 12 33 7 12 34 -17 12 35 -5 12 36 -12 12 37 3 12 38 0 12 39 -3 12 40 -5 12 41 -5 12 42 -4 12 43 -7 12 44 0 12 45 2 12 46 -4 12 47 -1 12 48 -4 12 49 -3 12 50 0 12 51 1 12 52 -7 12 53 -5 12 54 4 12 55 -1 12 56 0 12 57 -2 12 58 1 12 59 0 12 60 4 12 61 1 12 62 -1 12 63 3 12 64 -8 12 65 8 12 66 -2 12 67 -7 12 68 1 12 69 -6 Adjuster movements: rms = 27.5 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20041115-163848 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1 Reducing ID = 20041111-230959 Data directory /net/moana/export/data/janw/rxh3 contains 138 data files Reading database file: /home/janw/rxh3/Rxh3red/rxh3db.dat Resolved file ID 20041111-230959 = rxh3-20041111-230959.fits Reducing file ID 20041111-230959 Found database entry for 20041111-230959 Setting data.pointing_offset_x = -7.54 Setting data.pointing_offset_y = 11.52 Setting data.secondary_defocus_offset = 2.89 Setting data.comment = reverse=1 Reducing data file rxh3-20041111-230959.fits at Mon Nov 15 16:41:42 HST 2004 Reduction code ID: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2) Comment: reverse=1 Deleting data and results from internal arrays Created output directory: /home/janw/rxh3/Rxh3red/20041111-230959 Created output directory: /home/janw/rxh3/Rxh3red/20041111-230959/default Deleting all files in /home/janw/rxh3/Rxh3red/20041111-230959/default ... ... 0 files deleted.