Reduction started at: 20050907-104604 Reading data from rxh3-20050907-005123.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 = 2402.2 max = 2431.9 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.970 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 -3.17627 3.17871 -0.01805 loimag -3.32520 3.21533 0.00075 hireal -5.00000 4.99756 -0.21011 hiimag -5.00000 4.99756 -0.14493 xpos -2431.87420 2431.33440 -3.19844 ypos -2402.19454 2402.48219 -0.02360 plock160 1.49658 2.86133 2.23305 lorefpwr -0.02441 1.93115 1.27913 losigpwr -4.65820 -0.20508 -4.33334 hirefpwr 0.04395 1.98242 1.34898 hisigpwr -4.56787 4.99756 -1.28753 encltemp -1.22070 1.97754 -0.70900 flags 0.00000 257.00000 2.95490 phi-lock -0.98877 0.33691 -0.37493 sindex 0.00000 128.00000 63.61104 time 0.00000 2042.99316 1015.72091 zeropt -0.00244 0.00244 -0.00016 !!!Warning!!! encltemp min less than 28 !!!Warning!!! encltemp max less than 28 ---------------------------------------------------- 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 = 40.00565 arcsec Mean row spacing = 40.00566 arcsec (alternate estimator) Mean tracking incline = 0.39848 arcsec Mean pointing range = 1.47389 arcsec Mean pointing rms = 0.27880 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-61, 134 ) 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: 69386 0 0 0 0 0 0 0 4000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22682 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22682 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 = 2431.87 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 = 3.05889 at (0.0, 0.0) arcsec Real: mean = 0.000655085 sum of squares = 1127.3 Imag: mean = 8.43487e-06 sum of squares = 910.283 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 = 3.05164 at (0.0, 0.0) arcsec Real: mean = -0.000240256 sum of squares = 1075.86 Imag: mean = -0.000511807 sum of squares = 958.496 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 = 3.05157 at (0.0, 0.0) arcsec Real: mean = -0.000375151 sum of squares = 986.418 Imag: mean = -0.00125748 sum of squares = 1048.91 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 = 3.06846 at (0.0, 0.0) arcsec Real: mean = 3.7374e-05 sum of squares = 914.98 Imag: mean = -0.00179194 sum of squares = 1116.75 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 = 3.1 at (0.0, 0.0) arcsec Real: mean = 0.000184561 sum of squares = 916.499 Imag: mean = -0.00216154 sum of squares = 1118.09 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 = 3.15256 at (0.0, 0.0) arcsec Real: mean = 0.000530514 sum of squares = 987.682 Imag: mean = -0.00229797 sum of squares = 1044.87 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 = 3.19578 at (0.0, 0.0) arcsec Real: mean = 0.000929346 sum of squares = 1084.52 Imag: mean = -0.00251684 sum of squares = 953.517 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 = 3.24115 at (0.0, 0.0) arcsec Real: mean = 0.00139312 sum of squares = 1134.78 Imag: mean = -0.00280683 sum of squares = 905.346 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 = 3.26575 at (0.0, 0.0) arcsec Real: mean = 0.00228948 sum of squares = 1101.26 Imag: mean = -0.00245964 sum of squares = 944.67 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 = 3.26858 at (0.0, 0.0) arcsec Real: mean = 0.00271345 sum of squares = 1007.78 Imag: mean = -0.00160759 sum of squares = 1041.57 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 = 3.2526 at (0.0, 0.0) arcsec Real: mean = 0.0022813 sum of squares = 929.265 Imag: mean = -0.00102647 sum of squares = 1125.46 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 = 3.21323 at (0.0, 0.0) arcsec Real: mean = 0.00196219 sum of squares = 922.296 Imag: mean = -0.000703804 sum of squares = 1132.34 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 = 3.17304 at (0.0, 0.0) arcsec Real: mean = 0.00180327 sum of squares = 994.252 Imag: mean = -0.000357803 sum of squares = 1066.48 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 = 3.11609 at (0.0, 0.0) arcsec Real: mean = 0.00132072 sum of squares = 1089.61 Imag: mean = -0.000324335 sum of squares = 973.506 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 = 3.10525 at (0.0, 0.0) arcsec Real: mean = 0.000847831 sum of squares = 1143.15 Imag: mean = -0.000461241 sum of squares = 924.352 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 = 3.09169 at (0.0, 0.0) arcsec Real: mean = 0.00053362 sum of squares = 1120.5 Imag: mean = -0.000434092 sum of squares = 950.568 Masking frequency index 0 Mask scale size = 3.05851 Masking frequency index 1 Mask scale size = 3.05858 Masking frequency index 2 Mask scale size = 3.05866 Masking frequency index 3 Mask scale size = 3.05874 Masking frequency index 4 Mask scale size = 3.05881 Masking frequency index 5 Mask scale size = 3.05889 Masking frequency index 6 Mask scale size = 3.05896 Masking frequency index 7 Mask scale size = 3.05904 Masking frequency index 8 Mask scale size = 3.05912 Masking frequency index 9 Mask scale size = 3.05919 Masking frequency index 10 Mask scale size = 3.05927 Masking frequency index 11 Mask scale size = 3.05934 Masking frequency index 12 Mask scale size = 3.05942 Masking frequency index 13 Mask scale size = 3.0595 Masking frequency index 14 Mask scale size = 3.05957 Masking frequency index 15 Mask scale size = 3.05965 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.263672 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.266113 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.266113 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.270996 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.263672 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.263672 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.266113 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.263672 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.263672 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.268555 Median point-to-point PLL voltage change: 0.0219727 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 0.50868 110.92 Freq 1: Shift, scale = 0.077518 111.11 Freq 2: Shift, scale = -0.35751 110.48 Freq 3: Shift, scale = -0.80122 108.29 Freq 4: Shift, scale = -1.2359 106.39 Freq 5: Shift, scale = -1.6673 104.67 Freq 6: Shift, scale = -2.1118 104.6 Freq 7: Shift, scale = -2.5594 104.85 Freq 8: Shift, scale = -3.007 104.88 Freq 9: Shift, scale = 2.8333 106.52 Freq 10: Shift, scale = 2.3906 108.13 Freq 11: Shift, scale = 1.949 109.82 Freq 12: Shift, scale = 1.5197 111.36 Freq 13: Shift, scale = 1.0891 112.34 Freq 14: Shift, scale = 0.65291 113.51 Freq 15: Shift, scale = 0.21596 112.45 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 = 1 piston: -0.216 radians x offset: -0.433 arcsec y offset: 0.0545 arcsec defocus: 0.00321 mm Estimated x pointing error is -61.43 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.973 mm (used 2.97 mm) Fitting frequency 1 Minimiser fit code = 1 piston: -0.211 radians x offset: -0.413 arcsec y offset: 0.061 arcsec defocus: 0.0012 mm Estimated x pointing error is -61.41 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.971 mm (used 2.97 mm) Fitting frequency 2 Minimiser fit code = 1 piston: -0.206 radians x offset: -0.443 arcsec y offset: 0.0905 arcsec defocus: 0.00175 mm Estimated x pointing error is -61.44 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.972 mm (used 2.97 mm) Fitting frequency 3 Minimiser fit code = 1 piston: -0.209 radians x offset: -0.502 arcsec y offset: 0.114 arcsec defocus: 0.00658 mm Estimated x pointing error is -61.5 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.977 mm (used 2.97 mm) Fitting frequency 4 Minimiser fit code = 1 piston: -0.207 radians x offset: -0.513 arcsec y offset: 0.143 arcsec defocus: 0.00343 mm Estimated x pointing error is -61.51 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.973 mm (used 2.97 mm) Fitting frequency 5 Minimiser fit code = 1 piston: -0.203 radians x offset: -0.54 arcsec y offset: 0.14 arcsec defocus: 0.000992 mm Estimated x pointing error is -61.54 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.971 mm (used 2.97 mm) Fitting frequency 6 Minimiser fit code = 1 piston: -0.211 radians x offset: -0.565 arcsec y offset: 0.157 arcsec defocus: -0.00027 mm Estimated x pointing error is -61.56 arcsec (used -61 arcsec) Estimated y pointing error is 134.2 arcsec (used 134 arcsec) Estimated defocus error is 2.97 mm (used 2.97 mm) Fitting frequency 7 Minimiser fit code = 1 piston: -0.221 radians x offset: -0.565 arcsec y offset: 0.141 arcsec defocus: 0.00219 mm Estimated x pointing error is -61.57 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.972 mm (used 2.97 mm) Fitting frequency 8 Minimiser fit code = 1 piston: -0.23 radians x offset: -0.569 arcsec y offset: 0.128 arcsec defocus: 0.00199 mm Estimated x pointing error is -61.57 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.972 mm (used 2.97 mm) Fitting frequency 9 Minimiser fit code = 1 piston: -0.237 radians x offset: -0.529 arcsec y offset: 0.12 arcsec defocus: 0.00169 mm Estimated x pointing error is -61.53 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.972 mm (used 2.97 mm) Fitting frequency 10 Minimiser fit code = 1 piston: -0.24 radians x offset: -0.517 arcsec y offset: 0.063 arcsec defocus: 0.0028 mm Estimated x pointing error is -61.52 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.973 mm (used 2.97 mm) Fitting frequency 11 Minimiser fit code = 1 piston: -0.246 radians x offset: -0.439 arcsec y offset: 0.0524 arcsec defocus: 0.000885 mm Estimated x pointing error is -61.44 arcsec (used -61 arcsec) Estimated y pointing error is 134.1 arcsec (used 134 arcsec) Estimated defocus error is 2.971 mm (used 2.97 mm) Fitting frequency 12 Minimiser fit code = 1 piston: -0.239 radians x offset: -0.417 arcsec y offset: 0.0447 arcsec defocus: -0.00217 mm Estimated x pointing error is -61.42 arcsec (used -61 arcsec) Estimated y pointing error is 134 arcsec (used 134 arcsec) Estimated defocus error is 2.968 mm (used 2.97 mm) Fitting frequency 13 Minimiser fit code = 1 piston: -0.232 radians x offset: -0.362 arcsec y offset: 0.0286 arcsec defocus: -0.00362 mm Estimated x pointing error is -61.36 arcsec (used -61 arcsec) Estimated y pointing error is 134 arcsec (used 134 arcsec) Estimated defocus error is 2.966 mm (used 2.97 mm) Fitting frequency 14 Minimiser fit code = 1 piston: -0.231 radians x offset: -0.363 arcsec y offset: 0.0369 arcsec defocus: -0.0056 mm Estimated x pointing error is -61.36 arcsec (used -61 arcsec) Estimated y pointing error is 134 arcsec (used 134 arcsec) Estimated defocus error is 2.964 mm (used 2.97 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.228 radians x offset: -0.347 arcsec y offset: 0.0464 arcsec defocus: -0.00415 mm Estimated x pointing error is -61.35 arcsec (used -61 arcsec) Estimated y pointing error is 134 arcsec (used 134 arcsec) Estimated defocus error is 2.966 mm (used 2.97 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 -0.00206 piston 1 1 -0.00327 tilt_x 1 -1 0.02253 tilt_y 2 2 0.04019 astigmatism_0 2 0 -0.00439 curvature 2 -2 0.11287 astigmatism45 3 3 -0.01797 trefoil_0 3 1 -0.02954 coma_x 3 -1 0.03436 coma_y 3 -3 -0.05902 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 -0.00209 piston 1 1 -0.00358 tilt_x 1 -1 0.02227 tilt_y 2 2 0.04240 astigmatism_0 2 0 -0.00441 curvature 2 -2 0.11129 astigmatism45 3 3 -0.01313 trefoil_0 3 1 -0.03028 coma_x 3 -1 0.03356 coma_y 3 -3 -0.05987 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 -0.00216 piston 1 1 -0.00397 tilt_x 1 -1 0.02253 tilt_y 2 2 0.04368 astigmatism_0 2 0 -0.00437 curvature 2 -2 0.11154 astigmatism45 3 3 -0.01462 trefoil_0 3 1 -0.03134 coma_x 3 -1 0.03411 coma_y 3 -3 -0.06063 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 -0.00225 piston 1 1 -0.00528 tilt_x 1 -1 0.02383 tilt_y 2 2 0.04980 astigmatism_0 2 0 -0.00498 curvature 2 -2 0.11168 astigmatism45 3 3 -0.00741 trefoil_0 3 1 -0.03673 coma_x 3 -1 0.03791 coma_y 3 -3 -0.06103 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 -0.00229 piston 1 1 -0.00478 tilt_x 1 -1 0.02393 tilt_y 2 2 0.04919 astigmatism_0 2 0 -0.00482 curvature 2 -2 0.11136 astigmatism45 3 3 -0.01174 trefoil_0 3 1 -0.03495 coma_x 3 -1 0.03912 coma_y 3 -3 -0.06212 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 -0.00226 piston 1 1 -0.00398 tilt_x 1 -1 0.02535 tilt_y 2 2 0.04760 astigmatism_0 2 0 -0.00467 curvature 2 -2 0.11233 astigmatism45 3 3 -0.00977 trefoil_0 3 1 -0.03202 coma_x 3 -1 0.04320 coma_y 3 -3 -0.05990 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 -0.00230 piston 1 1 -0.00306 tilt_x 1 -1 0.02585 tilt_y 2 2 0.04843 astigmatism_0 2 0 -0.00476 curvature 2 -2 0.11106 astigmatism45 3 3 -0.01464 trefoil_0 3 1 -0.02968 coma_x 3 -1 0.04543 coma_y 3 -3 -0.06172 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 -0.00225 piston 1 1 -0.00271 tilt_x 1 -1 0.02618 tilt_y 2 2 0.04727 astigmatism_0 2 0 -0.00479 curvature 2 -2 0.11193 astigmatism45 3 3 -0.01477 trefoil_0 3 1 -0.02863 coma_x 3 -1 0.04563 coma_y 3 -3 -0.06137 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 -0.00218 piston 1 1 -0.00297 tilt_x 1 -1 0.02571 tilt_y 2 2 0.04714 astigmatism_0 2 0 -0.00484 curvature 2 -2 0.11292 astigmatism45 3 3 -0.01633 trefoil_0 3 1 -0.02949 coma_x 3 -1 0.04443 coma_y 3 -3 -0.05967 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 -0.00211 piston 1 1 -0.00256 tilt_x 1 -1 0.02449 tilt_y 2 2 0.04671 astigmatism_0 2 0 -0.00486 curvature 2 -2 0.11223 astigmatism45 3 3 -0.01594 trefoil_0 3 1 -0.02899 coma_x 3 -1 0.04056 coma_y 3 -3 -0.05929 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 -0.00209 piston 1 1 -0.00255 tilt_x 1 -1 0.02398 tilt_y 2 2 0.04469 astigmatism_0 2 0 -0.00463 curvature 2 -2 0.11226 astigmatism45 3 3 -0.01854 trefoil_0 3 1 -0.02798 coma_x 3 -1 0.03868 coma_y 3 -3 -0.05835 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 -0.00211 piston 1 1 -0.00258 tilt_x 1 -1 0.02386 tilt_y 2 2 0.04489 astigmatism_0 2 0 -0.00472 curvature 2 -2 0.11242 astigmatism45 3 3 -0.01599 trefoil_0 3 1 -0.02866 coma_x 3 -1 0.03771 coma_y 3 -3 -0.05488 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 -0.00221 piston 1 1 -0.00305 tilt_x 1 -1 0.02323 tilt_y 2 2 0.04422 astigmatism_0 2 0 -0.00476 curvature 2 -2 0.11043 astigmatism45 3 3 -0.01806 trefoil_0 3 1 -0.02995 coma_x 3 -1 0.03646 coma_y 3 -3 -0.05887 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 -0.00228 piston 1 1 -0.00262 tilt_x 1 -1 0.02446 tilt_y 2 2 0.04693 astigmatism_0 2 0 -0.00484 curvature 2 -2 0.11184 astigmatism45 3 3 -0.01632 trefoil_0 3 1 -0.02953 coma_x 3 -1 0.03949 coma_y 3 -3 -0.05580 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 -0.00224 piston 1 1 -0.00291 tilt_x 1 -1 0.02394 tilt_y 2 2 0.04822 astigmatism_0 2 0 -0.00474 curvature 2 -2 0.11048 astigmatism45 3 3 -0.01618 trefoil_0 3 1 -0.03041 coma_x 3 -1 0.03937 coma_y 3 -3 -0.05952 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 -0.00214 piston 1 1 -0.00297 tilt_x 1 -1 0.02415 tilt_y 2 2 0.04960 astigmatism_0 2 0 -0.00449 curvature 2 -2 0.11023 astigmatism45 3 3 -0.01647 trefoil_0 3 1 -0.03053 coma_x 3 -1 0.04043 coma_y 3 -3 -0.05790 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: 28.8 23.2 25.6 31.5 31.9 48.9 54.5 41.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.7 23.2 24 30 29.2 45.2 49.6 38.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.64 5.3 7.71 10.3 13.6 18.4 25.5 17 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.6 23.6 25.9 32.9 32.4 51.3 55 42.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.3 23.6 24.5 31.5 29.6 47.7 50.2 39.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.63 5.28 7.67 10.2 13.5 18.3 25.3 16.9 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 26.3 23.1 26.4 35.4 32.4 50 55 42.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 26 23.1 25 34.1 29.5 46.1 50.3 39.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.69 5.39 7.8 10.4 13.6 18.4 25.6 17 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 25.9 22.7 26.5 39.4 32.9 46.4 56.4 42.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.6 22.9 25.3 37.7 30.2 41.8 51.8 39.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.06 6.04 8.51 10.9 14 18.7 26.2 17.5 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 25.6 23 27 35.7 32.8 45.6 55.2 41.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.3 23.1 25.6 33.9 30.2 40.8 50.5 38.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.04 6 8.47 10.9 13.9 18.7 26.2 17.5 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 25.4 22.9 26.8 33.6 32.6 46.2 56.3 41.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.1 23.1 25.3 32 30 41.5 51.6 38.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.12 6.13 8.61 11 14 18.7 26.1 17.4 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 25.7 22.9 27.3 32 32.9 47 56.4 41.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 25.5 23 25.7 30.4 30.6 42.8 51.4 38.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.14 6.18 8.65 11 14 18.7 26.2 17.5 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.2 23.3 27.1 31.4 32.8 46.3 57.6 41.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.2 23.3 25.4 30 30.5 41.9 52.5 38.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.12 6.14 8.62 11 14 18.7 26.2 17.5 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.4 23 27.5 30.7 32.6 46.1 57.5 41.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.4 22.9 25.8 29.4 30.3 41.9 52.1 38.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.09 6.09 8.58 11 14 18.8 26.2 17.5 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.1 23.4 27.2 29.7 32.8 47.7 57.5 42.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30 23.4 25.6 28.3 30.4 43.8 52.3 38.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.89 5.75 8.2 10.7 13.8 18.6 25.9 17.3 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.4 23.1 27.2 28.7 32.2 47.9 56.5 41.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.2 23.2 25.8 27.1 29.7 44.1 51.2 38.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.77 5.54 7.97 10.5 13.7 18.5 25.7 17.1 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.2 22.7 26.8 28.3 32.5 47.8 55.6 41.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30 22.9 25.3 26.6 30.1 43.9 50.5 38 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.75 5.5 7.92 10.5 13.6 18.4 25.4 17 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.2 22.4 25.9 29 32 50.3 55 41.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.1 22.4 24.5 27.1 29.6 46.5 50.1 38.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.74 5.47 7.87 10.4 13.5 18.3 25.4 16.9 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.7 21.8 26 29.8 31.5 50.5 54.8 41.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.6 21.9 24.5 27.9 29.2 46.4 49.9 38.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.86 5.69 8.13 10.6 13.7 18.4 25.6 17.1 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.3 22 26 30.5 31.5 47.9 54.8 40.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.2 22 24.5 28.6 29.3 43.4 49.7 37.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.89 5.73 8.16 10.6 13.7 18.5 25.8 17.2 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 27.5 22.5 25.9 32 31.3 46.7 55.2 41 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.3 22.5 24.4 30.2 29.2 41.9 50.3 37.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.94 5.82 8.26 10.7 13.8 18.5 25.8 17.2 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 23.7 21.3 25 26.2 31.1 46.4 54.3 39.7 Mean deviation is -1.1111842712766431 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 = 31.6 micron Centre pixel: 64.0 64.0 Value = 2560.76 (estimate), 3708.89 (perfect) Strehl = 0.476704 Strehl ratio estimate = 0.4767 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 = 30.1 micron Centre pixel: 64.0 64.0 Value = 1944.1 (estimate), 3708.89 (perfect) Strehl = 0.274758 Strehl ratio estimate = 0.2748 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 -0.1 -22.8 -17.8 28.9 2 1 2 12.1 -12.3 13.5 21.9 3 1 3 15.3 29.0 -14.2 35.7 4 1 4 18.9 10.9 -13.4 25.6 5 1 5 -19.0 9.9 32.7 39.1 6 1 6 -8.6 -13.0 -1.1 15.7 7 1 7 -20.2 3.5 13.0 24.3 8 1 8 0.4 -5.6 31.4 31.9 9 1 9 -47.7 32.1 17.0 59.9 10 1 10 -8.5 13.7 58.4 60.6 11 1 11 51.0 29.9 0.6 59.1 12 1 12 29.5 1.3 -19.5 35.4 13 2 1 7.1 5.6 -4.2 10.0 14 2 2 -13.9 42.0 15.0 46.8 15 2 3 -4.7 -6.1 -9.7 12.4 16 2 4 -10.9 -8.9 -15.9 21.3 17 2 5 3.6 -12.0 -1.4 12.6 18 2 6 15.3 26.3 47.4 56.3 19 2 7 -10.6 16.2 16.6 25.4 20 2 8 12.2 33.0 -25.6 43.5 21 2 9 1.9 -10.6 -0.8 10.8 22 2 10 0.3 -12.4 -12.8 17.8 23 2 11 -15.0 -15.7 -6.6 22.7 24 2 12 -18.3 -3.6 -1.2 18.6 25 2 13 -0.5 -12.5 -17.0 21.1 26 2 14 -13.7 1.7 -0.8 13.8 27 2 15 -6.3 7.9 -26.2 28.1 28 2 16 38.8 -40.0 -26.6 61.7 29 2 17 6.1 -14.6 -9.1 18.3 30 2 18 17.4 -0.4 -0.3 17.5 31 2 19 17.1 3.0 -10.3 20.2 32 2 20 39.0 -8.6 21.9 45.5 33 2 21 28.3 12.0 -45.1 54.6 34 2 22 -14.6 -48.0 -22.9 55.1 35 2 23 -18.1 -4.6 17.4 25.5 36 2 24 -7.9 6.7 27.0 28.9 37 3 1 15.4 4.5 -33.6 37.2 38 3 2 34.9 6.3 -14.9 38.4 39 3 3 0.3 0.7 2.4 2.5 40 3 4 14.2 6.4 39.1 42.1 41 3 5 -10.7 16.1 22.2 29.5 42 3 6 -4.8 7.9 23.4 25.2 43 3 7 -14.5 3.4 -5.3 15.8 44 3 8 -7.8 2.4 3.6 8.9 45 3 9 -3.9 -2.7 2.2 5.2 46 3 10 -3.1 11.4 -8.0 14.3 47 3 11 31.3 8.4 6.6 33.1 48 3 12 -2.6 38.3 11.0 40.0 49 3 13 -25.0 12.5 -3.3 28.2 50 3 14 -7.6 2.0 12.4 14.7 51 3 15 -14.0 -2.9 28.2 31.6 52 3 16 5.6 2.5 21.7 22.6 53 3 17 9.1 17.0 15.6 24.8 54 3 18 17.2 16.5 21.3 31.9 55 3 19 18.7 14.8 10.9 26.2 56 3 20 -0.4 0.3 15.1 15.1 57 3 21 6.8 -13.3 -1.0 15.0 58 3 22 -3.0 -7.7 -9.4 12.5 59 3 23 -8.2 -4.9 -17.6 20.1 60 3 24 -19.5 -18.0 -17.4 31.7 61 3 25 -1.2 -25.3 -31.2 40.2 62 3 26 -21.3 -24.5 -36.4 48.8 63 3 27 -1.4 -18.6 -24.6 30.9 64 3 28 27.3 -18.8 -40.5 52.4 65 3 29 57.8 -8.5 -21.1 62.1 66 3 30 13.4 -5.1 -1.3 14.3 67 3 31 -36.2 1.0 -1.9 36.2 68 3 32 -10.2 -1.1 -24.5 26.6 69 3 33 -10.5 -7.8 -21.6 25.3 70 3 34 7.6 13.7 -16.3 22.6 71 3 35 41.8 6.6 -19.0 46.4 72 3 36 16.2 26.4 -4.9 31.3 73 3 37 13.5 20.1 -30.7 39.1 74 3 38 56.3 53.0 8.9 77.9 75 3 39 36.3 37.2 -28.7 59.4 76 3 40 10.5 -14.5 -5.7 18.8 77 3 41 -11.2 -17.4 36.1 41.6 78 3 42 -5.9 41.3 37.3 56.0 79 3 43 34.3 40.9 29.0 60.7 80 3 44 39.0 37.7 42.1 68.7 81 3 45 37.3 27.7 26.7 53.6 82 3 46 30.0 19.0 14.4 38.3 83 3 47 52.3 22.2 -14.1 58.5 84 3 48 12.6 7.4 -49.0 51.2 85 4 1 -22.9 -29.1 0.1 37.0 86 4 2 -11.2 -21.3 -14.8 28.2 87 4 3 -24.7 -12.3 -14.9 31.3 88 4 4 -15.6 -5.2 -29.8 34.1 89 4 5 0.7 -3.2 -20.1 20.4 90 4 6 21.8 13.3 -20.5 32.8 91 4 7 27.1 6.6 19.1 33.9 92 4 8 1.1 8.0 20.2 21.8 93 4 9 10.1 3.9 5.1 12.0 94 4 10 -17.5 10.5 -0.6 20.4 95 4 11 -11.4 12.0 -21.8 27.3 96 4 12 -1.0 5.2 -7.0 8.7 97 4 13 -5.5 -7.0 12.2 15.1 98 4 14 12.9 1.7 -27.7 30.6 99 4 15 11.5 3.1 42.4 44.0 100 4 16 7.8 23.3 31.4 39.9 101 4 17 10.7 31.2 5.7 33.5 102 4 18 22.7 -3.3 18.6 29.5 103 4 19 1.5 -7.0 -10.5 12.7 104 4 20 -18.9 -2.2 7.1 20.3 105 4 21 4.1 -7.1 9.1 12.3 106 4 22 -4.6 16.2 -0.1 16.9 107 4 23 1.3 -15.0 -26.3 30.3 108 4 24 -10.6 -3.7 28.6 30.7 109 4 25 -40.4 -3.4 44.2 60.0 110 4 26 -4.0 -20.6 -26.2 33.5 111 4 27 -12.0 1.7 -6.9 13.9 112 4 28 -27.7 -23.8 -9.5 37.7 113 4 29 -91.2 -9.7 -56.6 107.7 114 4 30 -44.8 -63.9 -44.4 89.8 115 4 31 36.5 -56.3 -36.5 76.4 116 4 32 -17.7 -27.8 7.0 33.7 117 4 33 -4.7 -21.3 -24.9 33.1 118 4 34 -36.3 19.1 -16.2 44.1 119 4 35 -45.1 0.4 -54.8 71.0 120 4 36 -11.6 -2.3 9.5 15.2 121 4 37 -1.0 -2.9 -20.1 20.4 122 4 38 0.3 25.5 -38.2 46.0 123 4 39 -11.9 6.4 -14.1 19.5 124 4 40 -28.2 4.7 -20.7 35.3 125 4 41 1.9 37.2 28.5 46.9 126 4 42 25.1 -7.3 -1.6 26.2 127 4 43 22.8 -2.9 -5.5 23.6 128 4 44 -1.6 4.2 -6.6 7.9 129 4 45 -15.2 6.7 14.7 22.2 130 4 46 -17.2 -16.4 -8.8 25.3 131 4 47 -26.4 -20.7 -17.5 37.8 132 4 48 -9.5 -22.8 -6.5 25.5 133 5 1 -27.2 2.4 11.4 29.5 134 5 2 -38.6 -14.5 9.4 42.3 135 5 3 -44.0 -12.0 -49.0 66.9 136 5 4 -6.9 -14.4 -28.4 32.6 137 5 5 5.7 -17.0 -15.9 24.0 138 5 6 6.8 8.0 -15.0 18.2 139 5 7 3.4 13.5 4.0 14.5 140 5 8 13.6 36.1 -2.4 38.7 141 5 9 10.5 12.9 13.2 21.2 142 5 10 7.8 -27.0 -17.6 33.2 143 5 11 24.5 -2.2 28.9 38.0 144 5 12 -1.6 4.9 13.0 14.0 145 5 13 -2.6 5.6 13.5 14.9 146 5 14 -16.3 33.4 -4.2 37.4 147 5 15 26.3 25.0 -4.0 36.5 148 5 16 39.3 14.8 21.9 47.4 149 5 17 16.2 7.0 59.4 62.0 150 5 18 24.6 15.9 222.1 224.0 151 5 19 -7.5 12.5 31.5 34.7 152 5 20 -10.3 15.3 37.8 42.0 153 5 21 7.8 24.9 48.7 55.2 154 5 22 13.1 8.2 11.8 19.5 155 5 23 6.3 10.7 38.8 40.7 156 5 24 27.0 15.3 16.9 35.3 157 5 25 19.1 19.7 9.6 29.1 158 5 26 -0.6 -21.4 18.1 28.0 159 5 27 -10.9 -19.4 -78.2 81.3 160 5 28 9.7 -14.8 -36.0 40.1 161 5 29 -46.7 -21.3 1.6 51.4 162 5 30 4.5 -3.3 -60.9 61.2 163 5 31 -105.1 -13.5 10.4 106.5 164 5 32 -36.8 -13.4 -94.4 102.2 165 5 33 -29.0 -13.8 8.0 33.1 166 5 34 -11.9 -16.0 -82.2 84.6 167 5 35 -9.9 2.0 43.7 44.9 168 5 36 6.6 16.6 1.8 17.9 169 5 37 -15.8 22.4 -23.2 35.9 170 5 38 -10.9 42.7 5.4 44.4 171 5 39 -14.8 18.7 -56.7 61.5 172 5 40 -2.0 58.3 9.0 59.0 173 5 41 8.1 25.5 -22.1 34.7 174 5 42 -8.8 16.4 27.7 33.3 175 5 43 2.8 7.4 13.5 15.7 176 5 44 1.8 12.9 -7.8 15.2 177 5 45 17.4 21.8 -23.4 36.4 178 5 46 -16.3 1.0 -13.4 21.1 179 5 47 -41.0 -3.5 10.0 42.3 180 5 48 -11.2 4.3 14.9 19.2 181 6 1 -81.1 -34.2 -12.3 88.8 182 6 2 -52.3 -63.4 -49.1 95.7 183 6 3 -88.1 -49.4 -67.7 121.6 184 6 4 -25.2 -54.2 -142.9 154.9 185 6 5 -10.0 -50.0 -81.7 96.3 186 6 6 -14.2 -35.0 -53.6 65.6 187 6 7 -3.5 -29.2 -46.8 55.3 188 6 8 25.1 11.3 -29.1 40.0 189 6 9 -10.7 13.4 -59.2 61.6 190 6 10 -19.7 17.0 21.3 33.7 191 6 11 -1.1 -3.8 -6.5 7.6 192 6 12 8.7 -4.1 -23.6 25.5 193 6 13 5.6 3.4 -12.6 14.2 194 6 14 0.2 15.2 -23.1 27.7 195 6 15 9.4 1.7 13.2 16.3 196 6 16 -11.4 19.3 -30.1 37.6 197 6 17 20.2 0.7 13.6 24.4 198 6 18 32.5 20.9 38.0 54.2 199 6 19 46.7 20.7 58.1 77.4 200 6 20 39.9 23.9 51.2 69.2 201 6 21 -4.8 11.4 -12.3 17.4 202 6 22 -46.9 27.3 57.6 79.1 203 6 23 -10.3 25.1 71.6 76.6 204 6 24 -18.3 17.1 78.4 82.3 205 6 25 -34.1 14.9 44.1 57.7 206 6 26 -41.2 14.5 46.6 63.9 207 6 27 -109.7 34.2 79.1 139.5 208 6 28 -51.7 -60.5 6.0 79.9 209 6 29 -46.5 -1.5 -43.1 63.4 210 6 30 -3.1 -21.3 -18.8 28.5 211 6 31 -51.3 -31.8 -2.1 60.4 212 6 32 -9.9 -28.2 11.1 31.9 213 6 33 -38.0 -41.1 -55.0 78.5 214 6 34 -72.8 -3.1 27.5 77.9 215 6 35 49.8 -21.9 86.5 102.1 216 6 36 40.9 8.2 69.3 80.9 217 6 37 11.8 -0.4 28.2 30.6 218 6 38 57.3 18.3 47.5 76.7 219 6 39 -12.0 7.5 56.1 57.9 220 6 40 33.1 5.8 20.5 39.4 221 6 41 14.3 50.5 91.0 105.0 222 6 42 34.5 33.0 70.0 84.8 223 6 43 22.9 28.2 25.5 44.4 224 6 44 43.8 -11.8 -41.0 61.1 225 6 45 -4.7 2.9 -107.8 108.0 226 6 46 -148.0 5.9 5.4 148.2 227 6 47 -82.9 -22.1 11.1 86.5 228 6 48 -74.3 -27.4 22.3 82.3 229 7 1 -80.9 -8.2 -25.2 85.1 230 7 2 -79.0 -53.6 -60.8 113.2 231 7 3 -71.4 -65.0 -49.6 108.6 232 7 4 -62.9 -113.3 -13.3 130.2 233 7 5 -37.1 -75.5 -63.8 105.6 234 7 6 -61.6 -26.7 -64.3 93.0 235 7 7 -51.8 -37.8 -32.2 71.8 236 7 8 -6.3 -35.0 -44.0 56.6 237 7 9 15.8 -95.1 5.3 96.5 238 7 10 9.9 27.8 -24.0 38.0 239 7 11 10.9 6.8 -34.9 37.2 240 7 12 -3.7 8.0 -8.7 12.4 241 7 13 -14.3 -0.0 -1.1 14.3 242 7 14 11.8 13.9 -1.2 18.3 243 7 15 22.2 5.1 10.3 25.0 244 7 16 34.0 -74.0 29.3 86.6 245 7 17 49.6 -4.2 14.3 51.8 246 7 18 30.8 35.2 -6.5 47.2 247 7 19 52.8 32.5 69.6 93.2 248 7 20 108.5 11.2 39.3 115.9 249 7 21 55.4 -16.2 25.8 63.2 250 7 22 15.9 -52.3 20.8 58.5 251 7 23 9.9 7.1 24.4 27.3 252 7 24 -33.1 22.2 76.0 85.8 253 7 25 -74.0 32.0 77.6 111.9 254 7 26 -58.3 1.8 36.3 68.7 255 7 27 -96.3 -9.8 27.0 100.4 256 7 28 -63.9 -69.3 258.9 275.6 257 7 29 179.4 -143.8 -133.7 266.0 258 7 30 -11.8 -58.8 -34.5 69.2 259 7 31 -17.7 -72.0 -83.0 111.3 260 7 32 12.1 -84.3 -42.1 95.0 261 7 33 -42.1 -39.5 -36.3 68.2 262 7 34 17.8 32.4 -37.8 52.9 263 7 35 68.0 -9.3 -2.5 68.7 264 7 36 50.4 13.9 19.4 55.8 265 7 37 48.6 25.6 36.6 66.0 266 7 38 65.9 16.3 -45.7 81.8 267 7 39 92.7 51.8 18.0 107.7 268 7 40 20.4 95.9 53.5 111.6 269 7 41 95.9 72.5 33.0 124.7 270 7 42 77.9 10.5 -11.6 79.5 271 7 43 -42.3 14.7 51.5 68.2 272 7 44 79.2 19.3 11.8 82.4 273 7 45 17.2 -33.9 76.4 85.3 274 7 46 33.3 -17.9 1.5 37.8 275 7 47 -55.5 1.9 -20.1 59.0 276 7 48 -45.6 103.8 25.9 116.2 Creating sector-motor-move file sector motor steps 1 1 -4 1 2 -34 1 3 -19 1 4 -43 1 5 -16 1 6 -7 1 7 -15 1 8 -19 1 9 -21 1 10 -20 1 11 -15 1 12 -27 1 13 -18 1 14 -16 1 15 -24 1 16 -15 1 17 -19 1 18 -16 1 19 -7 1 20 -2 1 21 -24 1 22 -3 1 23 -10 1 24 -24 1 25 -8 1 26 -4 1 27 -2 1 28 -9 1 29 -1 1 30 -4 1 31 -15 1 32 -3 1 33 -13 1 34 -4 1 35 -3 1 36 -7 1 37 2 1 38 -4 1 39 -11 1 40 -4 1 41 -6 1 42 -3 1 43 3 1 44 0 1 45 -8 1 46 0 1 47 -8 1 48 -7 1 49 0 1 50 0 1 51 0 1 52 4 1 53 12 1 54 -4 1 55 -4 1 56 1 1 57 10 1 58 -6 1 59 0 1 60 -5 1 61 -10 1 62 1 1 63 4 1 64 -1 1 65 2 1 66 -1 1 67 11 1 68 1 1 69 4 2 1 -13 2 2 -10 2 3 -1 2 4 -8 2 5 3 2 6 7 2 7 -9 2 8 -11 2 9 -15 2 10 -14 2 11 -8 2 12 -1 2 13 -19 2 14 -8 2 15 -18 2 16 -16 2 17 -10 2 18 -4 2 19 -19 2 20 -23 2 21 -11 2 22 -25 2 23 -15 2 24 -3 2 25 0 2 26 11 2 27 4 2 28 6 2 29 2 2 30 0 2 31 1 2 32 4 2 33 1 2 34 5 2 35 2 2 36 8 2 37 -4 2 38 2 2 39 2 2 40 -6 2 41 4 2 42 6 2 43 -4 2 44 -5 2 45 1 2 46 -6 2 47 0 2 48 0 2 49 -1 2 50 1 2 51 -4 2 52 -4 2 53 -2 2 54 -3 2 55 7 2 56 2 2 57 -1 2 58 -3 2 59 3 2 60 4 2 61 6 2 62 4 2 63 -3 2 64 -3 2 65 -1 2 66 -2 2 67 1 2 68 0 2 69 -2 3 1 -2 3 2 2 3 3 -1 3 4 -7 3 5 -1 3 6 2 3 7 -10 3 8 2 3 9 3 3 10 -2 3 11 -1 3 12 0 3 13 -7 3 14 8 3 15 3 3 16 6 3 17 5 3 18 -6 3 19 1 3 20 -29 3 21 4 3 22 -18 3 23 4 3 24 -3 3 25 3 3 26 1 3 27 0 3 28 -2 3 29 1 3 30 0 3 31 8 3 32 0 3 33 7 3 34 -6 3 35 3 3 36 -3 3 37 -5 3 38 -8 3 39 2 3 40 0 3 41 3 3 42 -5 3 43 4 3 44 3 3 45 3 3 46 1 3 47 1 3 48 3 3 49 2 3 50 2 3 51 9 3 52 14 3 53 8 3 54 4 3 55 -2 3 56 3 3 57 0 3 58 8 3 59 4 3 60 -4 3 61 0 3 62 0 3 63 -1 3 64 4 3 65 1 3 66 0 3 67 3 3 68 11 3 69 0 4 1 8 4 2 -22 4 3 10 4 4 -9 4 5 5 4 6 -3 4 7 3 4 8 1 4 9 6 4 10 4 4 11 0 4 12 2 4 13 0 4 14 4 4 15 3 4 16 -7 4 17 4 4 18 0 4 19 0 4 20 0 4 21 -4 4 22 -3 4 23 1 4 24 1 4 25 6 4 26 4 4 27 12 4 28 9 4 29 7 4 30 2 4 31 -1 4 32 7 4 33 8 4 34 12 4 35 0 4 36 3 4 37 -1 4 38 10 4 39 -4 4 40 -8 4 41 0 4 42 3 4 43 4 4 44 1 4 45 0 4 46 3 4 47 -2 4 48 -1 4 49 8 4 50 0 4 51 -4 4 52 -7 4 53 10 4 54 3 4 55 3 4 56 0 4 57 -2 4 58 3 4 59 5 4 60 -4 4 61 -1 4 62 3 4 63 -7 4 64 -3 4 65 -3 4 66 5 4 67 6 4 68 0 4 69 1 5 1 12 5 2 3 5 3 33 5 4 15 5 5 7 5 6 12 5 7 21 5 8 9 5 9 16 5 10 17 5 11 6 5 12 14 5 13 -1 5 14 10 5 15 9 5 16 11 5 17 6 5 18 9 5 19 4 5 20 -1 5 21 15 5 22 4 5 23 0 5 24 6 5 25 11 5 26 4 5 27 -3 5 28 2 5 29 0 5 30 -5 5 31 9 5 32 3 5 33 -2 5 34 -3 5 35 -2 5 36 0 5 37 68 5 38 4 5 39 7 5 40 5 5 41 -1 5 42 6 5 43 18 5 44 2 5 45 4 5 46 1 5 47 9 5 48 3 5 49 3 5 50 4 5 51 5 5 52 -3 5 53 -3 5 54 0 5 55 6 5 56 5 5 57 5 5 58 3 5 59 -5 5 60 10 5 61 4 5 62 5 5 63 2 5 64 -4 5 65 0 5 66 0 5 67 4 5 68 0 5 69 0 6 1 23 6 2 6 6 3 -10 6 4 24 6 5 5 6 6 -5 6 7 7 6 8 2 6 9 3 6 10 21 6 11 7 6 12 -3 6 13 6 6 14 -16 6 15 4 6 16 17 6 17 8 6 18 -14 6 19 7 6 20 -4 6 21 16 6 22 -3 6 23 3 6 24 -1 6 25 5 6 26 4 6 27 8 6 28 8 6 29 -1 6 30 -3 6 31 11 6 32 3 6 33 1 6 34 -8 6 35 -4 6 36 0 6 37 3 6 38 2 6 39 4 6 40 0 6 41 4 6 42 -1 6 43 14 6 44 7 6 45 2 6 46 2 6 47 -2 6 48 1 6 49 -5 6 50 -1 6 51 -2 6 52 0 6 53 -1 6 54 -5 6 55 -2 6 56 -2 6 57 0 6 58 -4 6 59 -2 6 60 0 6 61 0 6 62 -4 6 63 2 6 64 -3 6 65 -4 6 66 -2 6 67 -5 6 68 -5 6 69 -5 7 1 79 7 2 -21 7 3 -19 7 4 1 7 5 -18 7 6 -15 7 7 8 7 8 -3 7 9 -29 7 10 24 7 11 10 7 12 -33 7 13 11 7 14 0 7 15 -17 7 16 14 7 17 4 7 18 -12 7 19 23 7 20 9 7 21 -22 7 22 13 7 23 4 7 24 -10 7 25 -11 7 26 -4 7 27 2 7 28 -2 7 29 -7 7 30 -8 7 31 -23 7 32 -5 7 33 -3 7 34 -2 7 35 0 7 36 -3 7 37 5 7 38 -6 7 39 0 7 40 -8 7 41 -6 7 42 -1 7 43 2 7 44 6 7 45 5 7 46 13 7 47 -1 7 48 -12 7 49 -7 7 50 -5 7 51 0 7 52 0 7 53 0 7 54 -4 7 55 -11 7 56 -7 7 57 -6 7 58 1 7 59 -6 7 60 3 7 61 -9 7 62 -7 7 63 0 7 64 2 7 65 0 7 66 -5 7 67 -12 7 68 -5 7 69 8 8 1 -12 8 2 -25 8 3 3 8 4 3 8 5 -8 8 6 -3 8 7 -25 8 8 -22 8 9 -5 8 10 0 8 11 -9 8 12 -15 8 13 -10 8 14 -18 8 15 -3 8 16 -5 8 17 -6 8 18 0 8 19 -40 8 20 -44 8 21 55 8 22 -13 8 23 0 8 24 -14 8 25 -28 8 26 -4 8 27 -11 8 28 2 8 29 -8 8 30 -5 8 31 3 8 32 -4 8 33 -32 8 34 -11 8 35 -17 8 36 11 8 37 -18 8 38 -1 8 39 1 8 40 -13 8 41 -19 8 42 -13 8 43 0 8 44 -6 8 45 -14 8 46 -17 8 47 -2 8 48 -27 8 49 0 8 50 0 8 51 -11 8 52 -8 8 53 -12 8 54 11 8 55 0 8 56 -1 8 57 4 8 58 -1 8 59 0 8 60 9 8 61 -6 8 62 -2 8 63 17 8 64 -4 8 65 -1 8 66 -8 8 67 -7 8 68 0 8 69 -3 9 1 5 9 2 4 9 3 15 9 4 21 9 5 2 9 6 12 9 7 0 9 8 -2 9 9 20 9 10 26 9 11 -6 9 12 15 9 13 -11 9 14 9 9 15 5 9 16 8 9 17 0 9 18 -22 9 19 -11 9 20 -12 9 21 -12 9 22 -16 9 23 -12 9 24 -11 9 25 0 9 26 5 9 27 2 9 28 2 9 29 0 9 30 -3 9 31 13 9 32 0 9 33 -3 9 34 -16 9 35 0 9 36 -13 9 37 -25 9 38 -4 9 39 -3 9 40 -4 9 41 5 9 42 -11 9 43 2 9 44 -4 9 45 -8 9 46 -7 9 47 -6 9 48 -1 9 49 -5 9 50 2 9 51 12 9 52 0 9 53 0 9 54 5 9 55 -4 9 56 4 9 57 2 9 58 9 9 59 -14 9 60 5 9 61 -6 9 62 -2 9 63 -3 9 64 0 9 65 1 9 66 -2 9 67 -1 9 68 8 9 69 4 10 1 16 10 2 29 10 3 6 10 4 6 10 5 1 10 6 10 10 7 5 10 8 15 10 9 28 10 10 17 10 11 2 10 12 -3 10 13 -14 10 14 5 10 15 20 10 16 14 10 17 5 10 18 17 10 19 11 10 20 7 10 21 14 10 22 8 10 23 0 10 24 3 10 25 2 10 26 17 10 27 0 10 28 -6 10 29 1 10 30 -8 10 31 -17 10 32 5 10 33 -4 10 34 -4 10 35 1 10 36 -3 10 37 1 10 38 13 10 39 -3 10 40 -11 10 41 7 10 42 0 10 43 -7 10 44 6 10 45 -4 10 46 -6 10 47 0 10 48 0 10 49 -8 10 50 11 10 51 11 10 52 6 10 53 -2 10 54 11 10 55 2 10 56 16 10 57 17 10 58 4 10 59 -2 10 60 17 10 61 -9 10 62 6 10 63 4 10 64 3 10 65 5 10 66 -3 10 67 -1 10 68 -4 10 69 3 11 1 3 11 2 5 11 3 24 11 4 -12 11 5 -3 11 6 13 11 7 15 11 8 4 11 9 -12 11 10 7 11 11 8 11 12 7 11 13 -3 11 14 3 11 15 23 11 16 21 11 17 10 11 18 10 11 19 10 11 20 22 11 21 29 11 22 27 11 23 15 11 24 4 11 25 -2 11 26 3 11 27 0 11 28 -2 11 29 1 11 30 0 11 31 4 11 32 2 11 33 0 11 34 -1 11 35 0 11 36 6 11 37 8 11 38 5 11 39 -2 11 40 0 11 41 -2 11 42 7 11 43 -6 11 44 7 11 45 2 11 46 8 11 47 11 11 48 0 11 49 8 11 50 12 11 51 10 11 52 -7 11 53 -14 11 54 -4 11 55 11 11 56 12 11 57 -1 11 58 9 11 59 15 11 60 0 11 61 11 11 62 -5 11 63 -3 11 64 -1 11 65 8 11 66 -13 11 67 12 11 68 11 11 69 11 12 1 7 12 2 31 12 3 -13 12 4 6 12 5 -8 12 6 -22 12 7 -6 12 8 0 12 9 -17 12 10 3 12 11 -6 12 12 -25 12 13 0 12 14 -5 12 15 10 12 16 1 12 17 1 12 18 -45 12 19 23 12 20 -10 12 21 5 12 22 -33 12 23 0 12 24 -1 12 25 4 12 26 1 12 27 -3 12 28 -2 12 29 -6 12 30 -2 12 31 3 12 32 -1 12 33 -12 12 34 -5 12 35 -6 12 36 -8 12 37 -4 12 38 0 12 39 -5 12 40 -2 12 41 -5 12 42 -5 12 43 -7 12 44 6 12 45 5 12 46 4 12 47 2 12 48 -4 12 49 -4 12 50 6 12 51 16 12 52 8 12 53 2 12 54 -2 12 55 4 12 56 5 12 57 9 12 58 0 12 59 9 12 60 -5 12 61 8 12 62 8 12 63 11 12 64 1 12 65 -5 12 66 5 12 67 -15 12 68 2 12 69 3 Adjuster movements: rms = 35.7 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20050907-105341 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1