Reduction started at: 20040909-093837 Reading data from rxh3-20040909-015400.fits Reduction ID: default Read keywords into global array holo_keys Read binary table data into global array holo_data Finished reading data Converted positions to arcsec, times to elapsed seconds, and reversed x-axis Pattern extent: min = 2402.6 max = 2429.8 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.770 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 -3.05664 3.03711 -0.01015 loimag -3.22021 3.12256 -0.00806 hireal -5.00000 4.99756 -0.08823 hiimag -5.00000 4.99756 -0.05973 xpos -2429.78597 2420.71077 -7.39871 ypos -2402.58430 2402.87898 -0.00554 plock160 0.72754 2.14844 1.49091 lorefpwr 0.32227 1.67236 1.24565 losigpwr -4.56299 -0.23926 -4.38488 hirefpwr 0.39307 1.71387 1.29709 hisigpwr -4.47266 4.99756 -0.83631 encltemp 31.54297 32.83691 32.11622 flags 0.00000 256.00000 2.76738 phi-lock -1.35498 0.02441 -0.70283 sindex 0.00000 128.00000 63.61104 time 0.00000 2947.98062 1473.09231 zeropt -0.00732 -0.00244 -0.00469 !!!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 = 40.00618 arcsec Mean row spacing = 40.00620 arcsec (alternate estimator) Mean tracking incline = -0.04930 arcsec Mean pointing range = 0.56339 arcsec Mean pointing rms = 0.10325 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-4.5, 15.2 ) 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: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22674 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22674 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 = 2429.79 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 = 2.90386 at (0.0, 0.0) arcsec Real: mean = 0.00122221 sum of squares = 1072.76 Imag: mean = -0.00139149 sum of squares = 921.187 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 = 2.8975 at (0.0, 0.0) arcsec Real: mean = 0.000999639 sum of squares = 1002.8 Imag: mean = -0.00180485 sum of squares = 991.346 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 = 2.90507 at (0.0, 0.0) arcsec Real: mean = 0.00103131 sum of squares = 926.925 Imag: mean = -0.00245714 sum of squares = 1066.25 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 = 2.92854 at (0.0, 0.0) arcsec Real: mean = 0.00155674 sum of squares = 898.883 Imag: mean = -0.00301428 sum of squares = 1094.94 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 = 2.96267 at (0.0, 0.0) arcsec Real: mean = 0.0022275 sum of squares = 942.03 Imag: mean = -0.00308142 sum of squares = 1054.2 Gridding frequency index 5 lambda = 0.00373118 metres, scale = 0.00129936 radians per metre Gridding real part of frequency 5... Gridding imag part of frequency 5... Pattern is holo(res.pattern5) Weights in holo(obs.real,wt5) and holo(obs.imag,wt5) Maximum amplitude = 3.02061 at (0.0, 0.0) arcsec Real: mean = 0.00267696 sum of squares = 1030.09 Imag: mean = -0.0028136 sum of squares = 971.999 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 = 3.07699 at (0.0, 0.0) arcsec Real: mean = 0.00286781 sum of squares = 1098.8 Imag: mean = -0.00255284 sum of squares = 909.202 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 = 3.12135 at (0.0, 0.0) arcsec Real: mean = 0.00310272 sum of squares = 1097.65 Imag: mean = -0.00241741 sum of squares = 916.072 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 = 3.13032 at (0.0, 0.0) arcsec Real: mean = 0.00343145 sum of squares = 1029.36 Imag: mean = -0.00204165 sum of squares = 989.437 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 = 3.11667 at (0.0, 0.0) arcsec Real: mean = 0.00351776 sum of squares = 946.681 Imag: mean = -0.00140923 sum of squares = 1075.8 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 = 3.08229 at (0.0, 0.0) arcsec Real: mean = 0.0031171 sum of squares = 911.417 Imag: mean = -0.000796975 sum of squares = 1114.39 Gridding frequency index 11 lambda = 0.00373062 metres, scale = 0.00129955 radians per metre Gridding real part of frequency 11... Gridding imag part of frequency 11... Pattern is holo(res.pattern11) Weights in holo(obs.real,wt11) and holo(obs.imag,wt11) Maximum amplitude = 3.04698 at (0.0, 0.0) arcsec Real: mean = 0.00251166 sum of squares = 952.384 Imag: mean = -0.000666019 sum of squares = 1076.04 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 = 3.01518 at (0.0, 0.0) arcsec Real: mean = 0.00205666 sum of squares = 1038.11 Imag: mean = -0.000825396 sum of squares = 993.743 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 = 2.99235 at (0.0, 0.0) arcsec Real: mean = 0.0017541 sum of squares = 1105.41 Imag: mean = -0.00101026 sum of squares = 930.329 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 = 2.97874 at (0.0, 0.0) arcsec Real: mean = 0.00151079 sum of squares = 1111.78 Imag: mean = -0.00125745 sum of squares = 928.378 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 = 2.97952 at (0.0, 0.0) arcsec Real: mean = 0.00138387 sum of squares = 1054.35 Imag: mean = -0.00172655 sum of squares = 989.705 Masking frequency index 0 Mask scale size = 3.059 Masking frequency index 1 Mask scale size = 3.05908 Masking frequency index 2 Mask scale size = 3.05916 Masking frequency index 3 Mask scale size = 3.05923 Masking frequency index 4 Mask scale size = 3.05931 Masking frequency index 5 Mask scale size = 3.05938 Masking frequency index 6 Mask scale size = 3.05946 Masking frequency index 7 Mask scale size = 3.05954 Masking frequency index 8 Mask scale size = 3.05961 Masking frequency index 9 Mask scale size = 3.05969 Masking frequency index 10 Mask scale size = 3.05976 Masking frequency index 11 Mask scale size = 3.05984 Masking frequency index 12 Mask scale size = 3.05992 Masking frequency index 13 Mask scale size = 3.05999 Masking frequency index 14 Mask scale size = 3.06007 Masking frequency index 15 Mask scale size = 3.06015 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.19043 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.178223 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.166016 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.163574 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.17334 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.168457 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.012207 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 0.332 109.16 Freq 1: Shift, scale = -0.10092 108.54 Freq 2: Shift, scale = -0.53447 107.1 Freq 3: Shift, scale = -0.96791 105.31 Freq 4: Shift, scale = -1.4033 103.56 Freq 5: Shift, scale = -1.8435 102.72 Freq 6: Shift, scale = -2.2872 102.47 Freq 7: Shift, scale = -2.7359 103.18 Freq 8: Shift, scale = 3.0967 104.4 Freq 9: Shift, scale = 2.6508 105.69 Freq 10: Shift, scale = 2.2101 107.26 Freq 11: Shift, scale = 1.7744 108.81 Freq 12: Shift, scale = 1.3416 109.89 Freq 13: Shift, scale = 0.90813 110.62 Freq 14: Shift, scale = 0.4786 110.55 Freq 15: Shift, scale = 0.047295 109.84 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: -0.168 radians x offset: 0.0174 arcsec y offset: -0.0227 arcsec defocus: -0.00397 mm Estimated x pointing error is -4.483 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec) Estimated defocus error is 2.766 mm (used 2.77 mm) Fitting frequency 1 Minimiser fit code = 1 piston: -0.163 radians x offset: -0.00101 arcsec y offset: -0.0151 arcsec defocus: -0.00533 mm Estimated x pointing error is -4.501 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec) Estimated defocus error is 2.765 mm (used 2.77 mm) Fitting frequency 2 Minimiser fit code = 1 piston: -0.158 radians x offset: -0.00566 arcsec y offset: -0.00727 arcsec defocus: -0.00572 mm Estimated x pointing error is -4.506 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.19 arcsec (used 15.2 arcsec) Estimated defocus error is 2.764 mm (used 2.77 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.156 radians x offset: -0.0171 arcsec y offset: -0.00759 arcsec defocus: -0.00711 mm Estimated x pointing error is -4.517 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.19 arcsec (used 15.2 arcsec) Estimated defocus error is 2.763 mm (used 2.77 mm) Fitting frequency 4 Minimiser fit code = 1 piston: -0.155 radians x offset: -0.0224 arcsec y offset: 0.00677 arcsec defocus: -0.00882 mm Estimated x pointing error is -4.522 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec) Estimated defocus error is 2.761 mm (used 2.77 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.157 radians x offset: -0.0422 arcsec y offset: 0.0121 arcsec defocus: -0.00859 mm Estimated x pointing error is -4.542 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec) Estimated defocus error is 2.761 mm (used 2.77 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.163 radians x offset: -0.0586 arcsec y offset: 0.0101 arcsec defocus: -0.00813 mm Estimated x pointing error is -4.559 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec) Estimated defocus error is 2.762 mm (used 2.77 mm) Fitting frequency 7 Minimiser fit code = 1 piston: -0.174 radians x offset: -0.064 arcsec y offset: -0.000484 arcsec defocus: -0.00817 mm Estimated x pointing error is -4.564 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.2 arcsec (used 15.2 arcsec) Estimated defocus error is 2.762 mm (used 2.77 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.185 radians x offset: -0.0457 arcsec y offset: -0.0209 arcsec defocus: -0.00582 mm Estimated x pointing error is -4.546 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec) Estimated defocus error is 2.764 mm (used 2.77 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.194 radians x offset: -0.0195 arcsec y offset: -0.049 arcsec defocus: -0.00611 mm Estimated x pointing error is -4.519 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.15 arcsec (used 15.2 arcsec) Estimated defocus error is 2.764 mm (used 2.77 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.196 radians x offset: 0.0109 arcsec y offset: -0.0778 arcsec defocus: -0.00604 mm Estimated x pointing error is -4.489 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.12 arcsec (used 15.2 arcsec) Estimated defocus error is 2.764 mm (used 2.77 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.195 radians x offset: 0.0491 arcsec y offset: -0.103 arcsec defocus: -0.00757 mm Estimated x pointing error is -4.451 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec) Estimated defocus error is 2.762 mm (used 2.77 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.189 radians x offset: 0.0919 arcsec y offset: -0.107 arcsec defocus: -0.00879 mm Estimated x pointing error is -4.408 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.09 arcsec (used 15.2 arcsec) Estimated defocus error is 2.761 mm (used 2.77 mm) Fitting frequency 13 Minimiser fit code = 2 piston: -0.185 radians x offset: 0.117 arcsec y offset: -0.11 arcsec defocus: -0.00996 mm Estimated x pointing error is -4.383 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.09 arcsec (used 15.2 arcsec) Estimated defocus error is 2.76 mm (used 2.77 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.177 radians x offset: 0.11 arcsec y offset: -0.0995 arcsec defocus: -0.0124 mm Estimated x pointing error is -4.39 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec) Estimated defocus error is 2.758 mm (used 2.77 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.169 radians x offset: 0.0934 arcsec y offset: -0.101 arcsec defocus: -0.0136 mm Estimated x pointing error is -4.407 arcsec (used -4.5 arcsec) Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec) Estimated defocus error is 2.756 mm (used 2.77 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 -0.00054 piston 1 1 0.00149 tilt_x 1 -1 0.01245 tilt_y 2 2 0.04200 astigmatism_0 2 0 -0.00012 curvature 2 -2 0.01698 astigmatism45 3 3 -0.01208 trefoil_0 3 1 -0.00851 coma_x 3 -1 0.03165 coma_y 3 -3 -0.04044 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 -0.00052 piston 1 1 0.00111 tilt_x 1 -1 0.01275 tilt_y 2 2 0.04133 astigmatism_0 2 0 -0.00002 curvature 2 -2 0.01697 astigmatism45 3 3 -0.01248 trefoil_0 3 1 -0.00954 coma_x 3 -1 0.03248 coma_y 3 -3 -0.04066 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 -0.00049 piston 1 1 0.00159 tilt_x 1 -1 0.01337 tilt_y 2 2 0.04122 astigmatism_0 2 0 0.00028 curvature 2 -2 0.01558 astigmatism45 3 3 -0.01236 trefoil_0 3 1 -0.00772 coma_x 3 -1 0.03458 coma_y 3 -3 -0.04062 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 -0.00048 piston 1 1 0.00201 tilt_x 1 -1 0.01448 tilt_y 2 2 0.04049 astigmatism_0 2 0 0.00049 curvature 2 -2 0.01483 astigmatism45 3 3 -0.01396 trefoil_0 3 1 -0.00598 coma_x 3 -1 0.03802 coma_y 3 -3 -0.04107 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 -0.00050 piston 1 1 0.00273 tilt_x 1 -1 0.01525 tilt_y 2 2 0.04073 astigmatism_0 2 0 0.00061 curvature 2 -2 0.01446 astigmatism45 3 3 -0.01442 trefoil_0 3 1 -0.00348 coma_x 3 -1 0.04036 coma_y 3 -3 -0.04032 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 -0.00053 piston 1 1 0.00320 tilt_x 1 -1 0.01557 tilt_y 2 2 0.04204 astigmatism_0 2 0 0.00053 curvature 2 -2 0.01558 astigmatism45 3 3 -0.01518 trefoil_0 3 1 -0.00235 coma_x 3 -1 0.04108 coma_y 3 -3 -0.03994 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 -0.00055 piston 1 1 0.00357 tilt_x 1 -1 0.01543 tilt_y 2 2 0.04313 astigmatism_0 2 0 0.00041 curvature 2 -2 0.01593 astigmatism45 3 3 -0.01461 trefoil_0 3 1 -0.00148 coma_x 3 -1 0.04059 coma_y 3 -3 -0.03892 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 -0.00058 piston 1 1 0.00382 tilt_x 1 -1 0.01500 tilt_y 2 2 0.04428 astigmatism_0 2 0 0.00019 curvature 2 -2 0.01702 astigmatism45 3 3 -0.01464 trefoil_0 3 1 -0.00122 coma_x 3 -1 0.03915 coma_y 3 -3 -0.03792 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 -0.00056 piston 1 1 0.00408 tilt_x 1 -1 0.01476 tilt_y 2 2 0.04474 astigmatism_0 2 0 0.00018 curvature 2 -2 0.01646 astigmatism45 3 3 -0.01448 trefoil_0 3 1 -0.00069 coma_x 3 -1 0.03868 coma_y 3 -3 -0.03716 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 -0.00058 piston 1 1 0.00375 tilt_x 1 -1 0.01421 tilt_y 2 2 0.04527 astigmatism_0 2 0 -0.00006 curvature 2 -2 0.01622 astigmatism45 3 3 -0.01406 trefoil_0 3 1 -0.00212 coma_x 3 -1 0.03724 coma_y 3 -3 -0.03678 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 -0.00058 piston 1 1 0.00347 tilt_x 1 -1 0.01435 tilt_y 2 2 0.04487 astigmatism_0 2 0 -0.00015 curvature 2 -2 0.01452 astigmatism45 3 3 -0.01440 trefoil_0 3 1 -0.00300 coma_x 3 -1 0.03820 coma_y 3 -3 -0.03692 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 -0.00057 piston 1 1 0.00309 tilt_x 1 -1 0.01382 tilt_y 2 2 0.04433 astigmatism_0 2 0 -0.00018 curvature 2 -2 0.01384 astigmatism45 3 3 -0.01558 trefoil_0 3 1 -0.00429 coma_x 3 -1 0.03695 coma_y 3 -3 -0.03697 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 -0.00052 piston 1 1 0.00307 tilt_x 1 -1 0.01355 tilt_y 2 2 0.04328 astigmatism_0 2 0 0.00002 curvature 2 -2 0.01313 astigmatism45 3 3 -0.01730 trefoil_0 3 1 -0.00423 coma_x 3 -1 0.03639 coma_y 3 -3 -0.03832 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 -0.00048 piston 1 1 0.00327 tilt_x 1 -1 0.01333 tilt_y 2 2 0.04313 astigmatism_0 2 0 0.00027 curvature 2 -2 0.01341 astigmatism45 3 3 -0.01815 trefoil_0 3 1 -0.00356 coma_x 3 -1 0.03570 coma_y 3 -3 -0.03888 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 -0.00046 piston 1 1 0.00303 tilt_x 1 -1 0.01345 tilt_y 2 2 0.04293 astigmatism_0 2 0 0.00035 curvature 2 -2 0.01359 astigmatism45 3 3 -0.01885 trefoil_0 3 1 -0.00404 coma_x 3 -1 0.03594 coma_y 3 -3 -0.03913 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 -0.00044 piston 1 1 0.00278 tilt_x 1 -1 0.01413 tilt_y 2 2 0.04363 astigmatism_0 2 0 0.00049 curvature 2 -2 0.01306 astigmatism45 3 3 -0.01941 trefoil_0 3 1 -0.00482 coma_x 3 -1 0.03807 coma_y 3 -3 -0.03950 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 18.8 18.5 22.7 24.7 29.3 39.5 29.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 18.1 17.8 22.5 24.6 27.7 37.9 28.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.88 3.57 4.67 5.33 6.11 8.1 12.2 8.02 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.8 18.7 18.7 23.6 24.8 29.4 39.4 29.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.3 18 17.9 23.4 24.7 27.8 37.9 28.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.94 3.68 4.79 5.42 6.12 8.05 12.2 8.04 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.1 18.4 19 24.7 25 29.6 39.5 30.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.6 17.7 18.3 24.6 25 28 38 29.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.03 3.84 4.97 5.55 6.13 7.99 12.2 8.06 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.2 18.2 19.4 22 24.9 29.6 39.6 30 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.7 17.5 18.6 21.8 25 28 37.8 29 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.21 4.16 5.33 5.84 6.23 7.96 12.4 8.19 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.6 18.6 19.8 24.4 24.9 29.5 40 30.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.1 17.8 19 24.3 25.1 28 37.9 29.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.32 4.36 5.57 6.04 6.3 7.94 12.4 8.27 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.2 19.2 20 24.4 25 29.7 40.6 30.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.8 18.4 19.2 24.3 25.2 28.2 38.4 29.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.36 4.44 5.67 6.15 6.44 8.11 12.7 8.43 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 19.3 20.3 24.7 25.2 30.1 41.2 30.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.2 18.5 19.5 24.5 25.3 28.7 38.9 29.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.33 4.38 5.61 6.12 6.46 8.16 12.7 8.43 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.7 19.4 20.3 24.4 25.4 30.3 41.5 30.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.4 18.7 19.6 24.2 25.4 28.9 39.2 29.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.25 4.24 5.45 6.01 6.47 8.25 12.7 8.43 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.1 19.4 20.3 24 25.1 30.4 41.5 30.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.9 18.7 19.5 23.7 25.1 29 39.3 29.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.22 4.19 5.39 5.95 6.44 8.23 12.6 8.38 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 19.3 20.3 23.2 24.9 30.1 41.2 30.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 18.6 19.5 22.9 24.9 28.7 39.1 29.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.14 4.05 5.23 5.83 6.4 8.24 12.5 8.32 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.6 19.1 20.3 22.6 24.6 29.8 40.8 30 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.3 18.3 19.4 22.3 24.6 28.3 38.8 28.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.2 4.15 5.34 5.9 6.38 8.15 12.5 8.3 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.2 19.1 19.8 22.2 24.5 29.6 40.3 29.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.9 18.4 19 21.9 24.5 28 38.4 28.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.14 4.03 5.2 5.77 6.29 8.1 12.4 8.21 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.8 19.2 19.3 22.2 24.5 29.4 39.7 29.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.4 18.5 18.5 21.9 24.5 27.8 37.8 28.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.1 3.97 5.12 5.69 6.24 8.09 12.4 8.19 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.6 19.1 18.8 22.4 24.4 29.3 39.1 29.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.1 18.5 18 22.1 24.5 27.6 37.2 28.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.06 3.89 5.03 5.62 6.24 8.14 12.4 8.2 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 18.9 18.7 22.9 24.4 29.1 38.8 29.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.1 18.2 17.9 22.7 24.4 27.4 36.9 28.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.08 3.92 5.07 5.66 6.26 8.16 12.5 8.23 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.3 18.5 18.8 23.5 24.4 28.8 38.8 29.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.8 17.7 18.1 23.2 24.4 27.1 36.7 28.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.2 4.15 5.34 5.9 6.41 8.27 12.7 8.42 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 27.2 17.2 18.2 20.8 23.8 28.3 38.9 28.6 Mean deviation is 0.027405722609598268 microns Taper = 10 dB, Ruze illumination-weighted rms = 27.4 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 = 23.8 micron Centre pixel: 64.0 64.0 Value = 3005.34 (estimate), 3708.89 (perfect) Strehl = 0.656598 Strehl ratio estimate = 0.6566 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 = 22.9 micron Centre pixel: 64.0 64.0 Value = 2549.87 (estimate), 3708.89 (perfect) Strehl = 0.472658 Strehl ratio estimate = 0.4727 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 -19.8 6.7 9.3 22.8 2 1 2 -2.0 8.0 19.7 21.4 3 1 3 19.0 18.1 -8.8 27.7 4 1 4 10.2 6.1 -30.4 32.7 5 1 5 -39.6 14.3 54.0 68.4 6 1 6 -30.4 7.9 -6.7 32.2 7 1 7 -30.0 -6.7 19.5 36.4 8 1 8 -55.7 28.5 36.9 72.7 9 1 9 -91.6 -19.6 13.7 94.6 10 1 10 -19.0 11.7 29.6 37.1 11 1 11 10.6 9.0 7.2 15.7 12 1 12 -14.7 4.1 14.4 21.0 13 2 1 23.6 -17.9 -14.0 32.8 14 2 2 11.6 8.8 0.1 14.6 15 2 3 29.3 -14.6 -16.0 36.5 16 2 4 17.1 -6.5 5.9 19.2 17 2 5 11.9 13.0 10.8 20.7 18 2 6 12.0 25.2 31.7 42.3 19 2 7 -3.0 21.5 8.3 23.2 20 2 8 7.0 15.4 10.5 19.9 21 2 9 22.4 1.9 4.7 22.9 22 2 10 7.4 9.7 10.3 16.0 23 2 11 -0.9 6.8 1.2 6.9 24 2 12 -7.8 -1.8 -19.1 20.7 25 2 13 -8.5 -17.5 -31.2 36.7 26 2 14 -16.0 -29.4 -17.8 37.9 27 2 15 -4.0 -23.6 -20.9 31.7 28 2 16 13.2 -12.7 -2.2 18.5 29 2 17 10.2 2.2 -1.4 10.6 30 2 18 -0.9 8.0 -2.9 8.5 31 2 19 -0.1 -15.6 8.6 17.8 32 2 20 20.2 -16.5 -20.0 32.9 33 2 21 3.4 -3.0 -0.7 4.6 34 2 22 28.9 -11.7 -10.4 32.8 35 2 23 21.0 -8.8 -1.4 22.8 36 2 24 14.3 -10.7 -15.6 23.8 37 3 1 8.9 9.6 5.0 14.0 38 3 2 9.9 11.9 7.3 17.1 39 3 3 -6.7 6.1 5.7 10.7 40 3 4 5.4 5.4 28.6 29.6 41 3 5 -6.8 20.7 20.4 29.8 42 3 6 -14.0 5.5 12.8 19.7 43 3 7 -5.8 4.1 -7.8 10.6 44 3 8 3.0 9.8 3.9 10.9 45 3 9 21.2 7.5 6.1 23.3 46 3 10 3.0 7.2 0.0 7.8 47 3 11 29.0 14.6 10.8 34.2 48 3 12 18.1 22.6 4.3 29.2 49 3 13 -5.0 18.3 20.1 27.7 50 3 14 22.7 10.8 14.8 29.2 51 3 15 -0.4 8.7 22.1 23.7 52 3 16 17.6 15.8 22.5 32.7 53 3 17 17.9 24.3 15.8 34.1 54 3 18 20.9 15.6 18.8 32.2 55 3 19 22.6 16.3 -2.0 27.9 56 3 20 14.8 8.3 4.4 17.6 57 3 21 6.5 -0.6 5.8 8.7 58 3 22 -8.0 -5.8 3.3 10.4 59 3 23 -14.5 -5.8 -14.0 21.0 60 3 24 -24.8 -20.8 -25.4 41.2 61 3 25 -18.2 -25.6 -27.9 42.0 62 3 26 -31.3 -13.7 -16.3 37.9 63 3 27 -29.2 -15.8 -12.9 35.6 64 3 28 4.2 -7.2 -14.9 17.1 65 3 29 5.7 -4.8 -8.8 11.5 66 3 30 -4.5 -12.0 -18.8 22.8 67 3 31 1.1 4.0 3.4 5.3 68 3 32 13.6 22.2 -1.5 26.1 69 3 33 29.2 21.4 28.3 45.9 70 3 34 16.1 3.2 23.2 28.5 71 3 35 38.7 15.6 -3.7 41.9 72 3 36 11.5 13.5 -4.5 18.4 73 3 37 26.5 11.6 -20.5 35.5 74 3 38 11.0 12.6 -7.4 18.3 75 3 39 8.5 13.9 4.8 16.9 76 3 40 39.3 11.7 10.8 42.4 77 3 41 17.1 13.0 11.5 24.3 78 3 42 4.4 18.1 7.5 20.0 79 3 43 1.2 16.4 5.5 17.3 80 3 44 17.3 17.0 13.5 27.8 81 3 45 27.1 8.7 7.8 29.5 82 3 46 9.1 7.9 3.1 12.4 83 3 47 14.1 7.7 -3.1 16.4 84 3 48 -0.2 10.4 -15.4 18.6 85 4 1 -16.4 -22.2 -5.6 28.2 86 4 2 7.5 -16.0 -48.5 51.6 87 4 3 3.9 -11.7 -26.6 29.3 88 4 4 8.1 1.0 -39.2 40.1 89 4 5 21.0 5.0 -19.8 29.3 90 4 6 19.4 9.2 -15.4 26.4 91 4 7 19.9 4.8 -1.2 20.5 92 4 8 4.9 11.7 -15.7 20.2 93 4 9 8.1 1.9 -11.8 14.4 94 4 10 -4.0 1.6 -17.7 18.2 95 4 11 0.4 -1.3 -40.7 40.7 96 4 12 -19.1 0.3 -13.6 23.5 97 4 13 7.1 -0.3 16.0 17.5 98 4 14 11.3 -3.8 -38.4 40.2 99 4 15 6.9 8.9 9.6 14.8 100 4 16 -2.4 12.0 10.3 16.0 101 4 17 9.5 17.2 4.8 20.2 102 4 18 26.0 -0.3 16.9 31.0 103 4 19 2.1 -1.9 -18.0 18.2 104 4 20 -1.8 -0.3 -13.3 13.4 105 4 21 -5.6 -8.4 1.9 10.3 106 4 22 -24.4 1.3 10.5 26.6 107 4 23 -27.3 -8.4 -25.1 38.0 108 4 24 -15.4 -10.9 10.6 21.6 109 4 25 -36.4 -7.9 28.9 47.1 110 4 26 -29.9 -19.0 -35.1 49.9 111 4 27 -25.2 -16.3 0.6 30.0 112 4 28 -24.6 -16.8 1.7 29.8 113 4 29 -30.0 -2.9 -45.2 54.3 114 4 30 -25.0 -10.5 12.2 29.8 115 4 31 -10.8 -8.5 8.9 16.4 116 4 32 -9.0 8.1 -0.4 12.1 117 4 33 3.9 5.5 12.8 14.5 118 4 34 22.3 15.0 14.6 30.6 119 4 35 -26.9 0.9 -51.9 58.4 120 4 36 -19.8 -5.1 3.3 20.7 121 4 37 10.0 -3.5 -7.1 12.8 122 4 38 6.5 3.3 -18.4 19.8 123 4 39 11.8 7.8 4.3 14.8 124 4 40 6.9 5.2 4.2 9.7 125 4 41 6.1 21.6 13.2 26.0 126 4 42 23.9 6.2 6.1 25.5 127 4 43 15.7 5.9 1.9 16.9 128 4 44 2.9 9.6 0.7 10.1 129 4 45 3.2 3.3 -7.3 8.6 130 4 46 4.7 -13.6 -19.1 23.9 131 4 47 -11.7 -17.0 -45.5 49.9 132 4 48 -8.6 -18.2 -19.0 27.7 133 5 1 -6.0 -5.4 -4.0 9.0 134 5 2 -13.4 -7.1 -1.0 15.2 135 5 3 -8.4 -15.9 -28.5 33.7 136 5 4 4.0 0.3 10.2 11.0 137 5 5 -12.1 5.9 4.4 14.2 138 5 6 6.8 9.1 -14.5 18.4 139 5 7 14.1 10.1 8.3 19.3 140 5 8 5.4 13.3 -1.6 14.5 141 5 9 2.9 5.4 4.0 7.3 142 5 10 -7.5 -25.0 -27.8 38.2 143 5 11 4.1 -15.9 16.3 23.2 144 5 12 -15.0 4.9 10.4 18.9 145 5 13 -11.9 8.8 1.9 14.9 146 5 14 -13.7 9.4 0.4 16.6 147 5 15 3.9 -7.4 -33.5 34.5 148 5 16 5.5 11.2 1.2 12.5 149 5 17 -0.3 6.2 -8.8 10.8 150 5 18 -4.9 -9.3 208.9 209.2 151 5 19 -21.4 -9.1 -0.5 23.3 152 5 20 -8.0 6.7 -10.4 14.8 153 5 21 6.8 5.6 -3.4 9.5 154 5 22 -3.2 -20.9 -30.0 36.7 155 5 23 -19.0 -11.0 -20.3 29.9 156 5 24 -4.0 -19.6 -31.9 37.7 157 5 25 -5.3 -20.5 -38.8 44.2 158 5 26 -11.1 -15.2 -23.9 30.4 159 5 27 -6.0 -38.8 -50.4 63.9 160 5 28 9.9 4.4 -36.3 37.9 161 5 29 22.8 4.0 -9.2 24.9 162 5 30 13.6 3.0 9.6 16.9 163 5 31 5.4 6.5 5.6 10.1 164 5 32 -2.3 3.3 7.8 8.8 165 5 33 11.3 0.9 -0.7 11.4 166 5 34 11.8 -18.6 -38.8 44.6 167 5 35 -6.7 -11.9 7.7 15.7 168 5 36 8.3 6.8 -15.5 18.9 169 5 37 3.4 -3.3 -1.4 4.9 170 5 38 12.7 -6.8 -3.8 14.9 171 5 39 8.3 -0.4 -34.7 35.7 172 5 40 1.6 5.8 -15.5 16.6 173 5 41 13.7 13.3 -0.9 19.1 174 5 42 5.3 8.4 -9.4 13.6 175 5 43 15.8 10.7 -17.4 25.8 176 5 44 9.0 6.0 -19.3 22.1 177 5 45 14.1 4.6 -29.8 33.3 178 5 46 8.1 -30.6 -49.2 58.5 179 5 47 -2.6 -24.7 -27.0 36.6 180 5 48 -8.2 -6.3 -24.3 26.4 181 6 1 -1.6 -38.7 -42.9 57.8 182 6 2 0.6 -25.1 -53.7 59.3 183 6 3 -18.7 -13.1 -40.5 46.5 184 6 4 -24.2 2.3 -99.5 102.4 185 6 5 3.5 -2.1 -0.9 4.2 186 6 6 4.2 0.6 -6.8 8.0 187 6 7 -2.1 -2.6 -5.3 6.3 188 6 8 -6.2 2.6 -14.3 15.9 189 6 9 -13.6 9.4 -39.8 43.1 190 6 10 -34.9 16.9 3.4 38.9 191 6 11 -3.8 2.3 -8.8 9.9 192 6 12 4.5 7.4 -5.0 10.0 193 6 13 -2.0 8.1 -2.7 8.8 194 6 14 -8.9 1.8 1.0 9.1 195 6 15 -40.8 4.7 -9.1 42.1 196 6 16 -12.4 -3.8 -55.6 57.1 197 6 17 -24.7 -15.4 -14.8 32.7 198 6 18 -12.0 -8.8 8.5 17.2 199 6 19 -7.4 -16.7 9.6 20.7 200 6 20 3.9 1.7 3.1 5.2 201 6 21 -40.9 2.6 -41.3 58.2 202 6 22 -45.9 -6.1 15.9 49.0 203 6 23 -27.5 -4.8 21.2 35.0 204 6 24 -36.0 -14.9 17.6 42.8 205 6 25 -50.9 -15.9 -10.3 54.4 206 6 26 -35.5 -16.6 -3.1 39.4 207 6 27 -64.1 -9.7 -1.8 64.8 208 6 28 -62.5 -15.4 -54.8 84.5 209 6 29 -27.3 14.8 -8.2 32.1 210 6 30 -13.2 -7.4 56.3 58.3 211 6 31 5.1 -9.1 -3.8 11.2 212 6 32 0.7 -6.8 -8.6 11.0 213 6 33 -48.2 6.9 -95.8 107.5 214 6 34 -129.5 29.7 -32.8 136.8 215 6 35 -9.2 7.8 35.1 37.1 216 6 36 -2.3 28.2 47.0 54.8 217 6 37 -8.8 16.0 31.3 36.3 218 6 38 -0.8 -0.1 8.1 8.1 219 6 39 -38.0 21.3 -2.2 43.6 220 6 40 -44.8 19.9 -44.9 66.5 221 6 41 -4.5 21.5 9.8 24.1 222 6 42 10.4 -7.9 35.1 37.4 223 6 43 0.2 -5.4 12.7 13.7 224 6 44 -16.6 5.8 6.1 18.6 225 6 45 -49.1 17.9 -91.0 104.9 226 6 46 -76.9 -6.2 -27.8 82.0 227 6 47 -27.0 -27.9 -37.8 54.2 228 6 48 -30.3 -40.8 -42.8 66.4 229 7 1 -50.0 -20.2 -40.4 67.5 230 7 2 -47.2 -28.2 -53.8 76.9 231 7 3 -8.6 -28.3 -23.5 37.8 232 7 4 -5.7 -64.8 28.7 71.1 233 7 5 11.9 -12.1 35.2 39.1 234 7 6 16.9 47.1 23.0 55.1 235 7 7 -6.4 37.6 53.0 65.3 236 7 8 48.2 10.4 -25.1 55.3 237 7 9 34.7 -54.6 49.5 81.4 238 7 10 36.3 31.4 29.1 56.1 239 7 11 9.1 18.1 -14.4 24.9 240 7 12 10.0 25.4 23.8 36.2 241 7 13 1.1 35.3 28.8 45.6 242 7 14 10.2 33.1 13.3 37.1 243 7 15 -4.4 9.6 5.2 11.8 244 7 16 3.7 -67.8 31.6 74.9 245 7 17 3.1 3.4 12.8 13.6 246 7 18 -4.9 21.6 -8.5 23.7 247 7 19 5.2 14.1 42.8 45.3 248 7 20 25.0 13.3 39.3 48.4 249 7 21 31.2 -25.7 102.6 110.3 250 7 22 14.5 45.0 72.6 86.6 251 7 23 26.7 56.6 47.7 78.6 252 7 24 8.3 61.0 75.6 97.5 253 7 25 -8.4 67.0 74.7 100.7 254 7 26 7.2 51.7 9.4 53.0 255 7 27 -8.5 47.7 45.4 66.4 256 7 28 4.7 -40.2 295.6 298.4 257 7 29 17.9 -40.7 2.9 44.6 258 7 30 0.6 -31.5 -50.7 59.7 259 7 31 -9.0 -23.5 -35.2 43.3 260 7 32 21.7 -38.8 -41.9 61.1 261 7 33 -16.9 -57.2 -12.6 61.0 262 7 34 22.5 21.3 -25.3 40.0 263 7 35 33.8 29.9 0.8 45.1 264 7 36 39.7 36.3 23.2 58.6 265 7 37 31.6 38.8 18.6 53.4 266 7 38 27.6 40.3 -17.2 51.8 267 7 39 37.5 27.6 8.3 47.3 268 7 40 49.8 -23.0 28.5 61.8 269 7 41 62.6 10.4 5.9 63.7 270 7 42 29.5 16.2 14.3 36.6 271 7 43 -30.1 16.5 -46.0 57.4 272 7 44 14.4 -7.4 -6.2 17.3 273 7 45 3.0 -77.8 15.2 79.3 274 7 46 4.1 -6.9 -18.6 20.2 275 7 47 -23.0 -5.3 -58.6 63.2 276 7 48 -35.4 110.3 -23.1 118.1 Creating sector-motor-move file sector motor steps 1 1 8 1 2 -19 1 3 -1 1 4 -30 1 5 0 1 6 -7 1 7 -7 1 8 -8 1 9 -2 1 10 -12 1 11 -4 1 12 -5 1 13 -16 1 14 -8 1 15 -14 1 16 -16 1 17 -7 1 18 0 1 19 -12 1 20 -6 1 21 -15 1 22 -13 1 23 -11 1 24 0 1 25 3 1 26 0 1 27 1 1 28 -12 1 29 0 1 30 2 1 31 -8 1 32 -4 1 33 -2 1 34 -8 1 35 -3 1 36 1 1 37 0 1 38 -2 1 39 -4 1 40 -14 1 41 -4 1 42 2 1 43 -1 1 44 -1 1 45 -1 1 46 -1 1 47 -6 1 48 -5 1 49 1 1 50 1 1 51 -2 1 52 0 1 53 2 1 54 3 1 55 2 1 56 3 1 57 3 1 58 2 1 59 -6 1 60 2 1 61 1 1 62 2 1 63 2 1 64 -4 1 65 7 1 66 -4 1 67 8 1 68 1 1 69 1 2 1 -7 2 2 3 2 3 14 2 4 -4 2 5 0 2 6 -1 2 7 16 2 8 11 2 9 -1 2 10 -1 2 11 0 2 12 0 2 13 7 2 14 14 2 15 5 2 16 -2 2 17 0 2 18 1 2 19 10 2 20 -3 2 21 3 2 22 0 2 23 0 2 24 1 2 25 0 2 26 4 2 27 1 2 28 -4 2 29 3 2 30 1 2 31 2 2 32 3 2 33 4 2 34 0 2 35 1 2 36 6 2 37 -4 2 38 2 2 39 2 2 40 -4 2 41 2 2 42 5 2 43 1 2 44 1 2 45 -3 2 46 -6 2 47 1 2 48 6 2 49 -2 2 50 1 2 51 -1 2 52 1 2 53 -1 2 54 5 2 55 3 2 56 1 2 57 -4 2 58 2 2 59 0 2 60 6 2 61 6 2 62 6 2 63 -2 2 64 3 2 65 8 2 66 -4 2 67 1 2 68 2 2 69 0 3 1 7 3 2 7 3 3 3 3 4 -1 3 5 2 3 6 1 3 7 -4 3 8 5 3 9 2 3 10 -2 3 11 0 3 12 -1 3 13 8 3 14 9 3 15 11 3 16 1 3 17 5 3 18 -10 3 19 15 3 20 -16 3 21 10 3 22 -12 3 23 2 3 24 -4 3 25 3 3 26 1 3 27 -4 3 28 -4 3 29 0 3 30 -5 3 31 5 3 32 -4 3 33 1 3 34 -12 3 35 0 3 36 0 3 37 -8 3 38 -7 3 39 -2 3 40 -5 3 41 0 3 42 -1 3 43 1 3 44 1 3 45 0 3 46 -3 3 47 0 3 48 2 3 49 3 3 50 4 3 51 8 3 52 9 3 53 7 3 54 3 3 55 0 3 56 2 3 57 0 3 58 5 3 59 5 3 60 -2 3 61 1 3 62 2 3 63 6 3 64 6 3 65 3 3 66 3 3 67 1 3 68 6 3 69 5 4 1 9 4 2 -20 4 3 1 4 4 -17 4 5 -1 4 6 -3 4 7 1 4 8 2 4 9 -1 4 10 -2 4 11 1 4 12 -12 4 13 4 4 14 10 4 15 3 4 16 0 4 17 0 4 18 -2 4 19 8 4 20 10 4 21 0 4 22 0 4 23 2 4 24 0 4 25 0 4 26 3 4 27 1 4 28 3 4 29 3 4 30 0 4 31 -10 4 32 -2 4 33 1 4 34 2 4 35 2 4 36 2 4 37 0 4 38 2 4 39 -4 4 40 -11 4 41 -1 4 42 3 4 43 0 4 44 2 4 45 -3 4 46 4 4 47 0 4 48 2 4 49 6 4 50 2 4 51 0 4 52 3 4 53 4 4 54 2 4 55 4 4 56 3 4 57 6 4 58 1 4 59 3 4 60 -9 4 61 6 4 62 5 4 63 -1 4 64 0 4 65 0 4 66 2 4 67 6 4 68 4 4 69 5 5 1 12 5 2 4 5 3 7 5 4 0 5 5 0 5 6 1 5 7 13 5 8 4 5 9 1 5 10 2 5 11 -5 5 12 -2 5 13 -2 5 14 6 5 15 -1 5 16 2 5 17 -2 5 18 -3 5 19 3 5 20 1 5 21 0 5 22 -4 5 23 -4 5 24 -7 5 25 -3 5 26 2 5 27 -2 5 28 -4 5 29 0 5 30 0 5 31 0 5 32 -2 5 33 -6 5 34 -5 5 35 0 5 36 0 5 37 64 5 38 -2 5 39 -1 5 40 5 5 41 0 5 42 7 5 43 -2 5 44 1 5 45 0 5 46 1 5 47 5 5 48 2 5 49 0 5 50 4 5 51 6 5 52 3 5 53 2 5 54 2 5 55 5 5 56 4 5 57 6 5 58 4 5 59 -12 5 60 16 5 61 4 5 62 7 5 63 5 5 64 2 5 65 6 5 66 1 5 67 1 5 68 2 5 69 4 6 1 23 6 2 18 6 3 2 6 4 5 6 5 -4 6 6 -11 6 7 14 6 8 17 6 9 8 6 10 6 6 11 -1 6 12 -8 6 13 22 6 14 13 6 15 4 6 16 4 6 17 -1 6 18 -14 6 19 31 6 20 -7 6 21 9 6 22 -12 6 23 0 6 24 -12 6 25 -9 6 26 -6 6 27 -1 6 28 3 6 29 -3 6 30 -4 6 31 -6 6 32 -3 6 33 -5 6 34 -7 6 35 -2 6 36 -8 6 37 -9 6 38 -6 6 39 0 6 40 3 6 41 0 6 42 -7 6 43 -1 6 44 1 6 45 2 6 46 0 6 47 -2 6 48 -1 6 49 -4 6 50 -1 6 51 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-2 8 44 1 8 45 6 8 46 -13 8 47 0 8 48 -9 8 49 1 8 50 1 8 51 0 8 52 0 8 53 -3 8 54 4 8 55 -5 8 56 -3 8 57 -1 8 58 8 8 59 -17 8 60 11 8 61 -2 8 62 -1 8 63 1 8 64 0 8 65 -1 8 66 -6 8 67 0 8 68 6 8 69 4 9 1 7 9 2 11 9 3 12 9 4 14 9 5 8 9 6 0 9 7 0 9 8 9 9 9 10 9 10 10 9 11 2 9 12 -2 9 13 -7 9 14 6 9 15 6 9 16 -10 9 17 9 9 18 -39 9 19 -3 9 20 -17 9 21 -5 9 22 -29 9 23 2 9 24 -14 9 25 -4 9 26 2 9 27 2 9 28 1 9 29 -1 9 30 -6 9 31 2 9 32 -3 9 33 -2 9 34 -15 9 35 0 9 36 -8 9 37 -11 9 38 -5 9 39 3 9 40 4 9 41 4 9 42 6 9 43 0 9 44 0 9 45 3 9 46 3 9 47 1 9 48 1 9 49 -1 9 50 4 9 51 11 9 52 0 9 53 2 9 54 0 9 55 7 9 56 0 9 57 4 9 58 -6 9 59 -28 9 60 4 9 61 8 9 62 6 9 63 8 9 64 -4 9 65 3 9 66 0 9 67 -1 9 68 4 9 69 3 10 1 8 10 2 -7 10 3 15 10 4 -13 10 5 6 10 6 -13 10 7 2 10 8 8 10 9 11 10 10 0 10 11 6 10 12 -11 10 13 -5 10 14 12 10 15 8 10 16 2 10 17 0 10 18 0 10 19 5 10 20 11 10 21 9 10 22 9 10 23 4 10 24 -2 10 25 -4 10 26 1 10 27 0 10 28 1 10 29 1 10 30 2 10 31 -10 10 32 0 10 33 2 10 34 1 10 35 2 10 36 3 10 37 -1 10 38 -2 10 39 3 10 40 -5 10 41 1 10 42 1 10 43 0 10 44 -1 10 45 1 10 46 -2 10 47 -1 10 48 3 10 49 1 10 50 4 10 51 2 10 52 -6 10 53 -5 10 54 6 10 55 -2 10 56 3 10 57 3 10 58 3 10 59 -5 10 60 9 10 61 -6 10 62 3 10 63 8 10 64 0 10 65 0 10 66 2 10 67 3 10 68 3 10 69 12 11 1 -1 11 2 -2 11 3 4 11 4 1 11 5 1 11 6 -5 11 7 -14 11 8 5 11 9 -9 11 10 3 11 11 -1 11 12 0 11 13 4 11 14 4 11 15 9 11 16 10 11 17 -2 11 18 3 11 19 1 11 20 3 11 21 19 11 22 3 11 23 6 11 24 -1 11 25 -5 11 26 1 11 27 2 11 28 0 11 29 2 11 30 0 11 31 -5 11 32 3 11 33 4 11 34 0 11 35 1 11 36 4 11 37 -2 11 38 2 11 39 1 11 40 1 11 41 1 11 42 7 11 43 0 11 44 4 11 45 4 11 46 4 11 47 6 11 48 1 11 49 1 11 50 5 11 51 0 11 52 -3 11 53 -3 11 54 8 11 55 2 11 56 5 11 57 1 11 58 2 11 59 3 11 60 2 11 61 3 11 62 3 11 63 5 11 64 -2 11 65 1 11 66 0 11 67 4 11 68 5 11 69 5 12 1 -7 12 2 33 12 3 -10 12 4 -13 12 5 -12 12 6 -9 12 7 -17 12 8 -1 12 9 -7 12 10 -11 12 11 -8 12 12 -8 12 13 -5 12 14 -2 12 15 1 12 16 -8 12 17 -1 12 18 -23 12 19 4 12 20 -23 12 21 0 12 22 -27 12 23 5 12 24 -15 12 25 -7 12 26 -1 12 27 -2 12 28 -5 12 29 -5 12 30 -2 12 31 -8 12 32 -7 12 33 0 12 34 -13 12 35 -5 12 36 -3 12 37 -15 12 38 -9 12 39 2 12 40 -5 12 41 -4 12 42 1 12 43 -9 12 44 1 12 45 4 12 46 -2 12 47 0 12 48 0 12 49 0 12 50 2 12 51 4 12 52 -4 12 53 -3 12 54 4 12 55 0 12 56 2 12 57 2 12 58 1 12 59 -4 12 60 4 12 61 2 12 62 2 12 63 8 12 64 -5 12 65 6 12 66 0 12 67 -4 12 68 3 12 69 0 Adjuster movements: rms = 26.6 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20040909-094609 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1 Reducing ID = 20040909-024418 Data directory /net/moana/export/data/janw/rxh3 contains 129 data files Reading database file: /home/janw/rxh3/Rxh3red/rxh3db.dat Resolved file ID 20040909-024418 = rxh3-20040909-024418.fits Reducing file ID 20040909-024418 Found database entry for 20040909-024418 Setting data.pointing_offset_x = -5.1 Setting data.pointing_offset_y = 10.6 Setting data.secondary_defocus_offset = 2.87 Reducing data file rxh3-20040909-024418.fits at Thu Sep 09 09:49:18 HST 2004 Reduction code ID: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20) Comment: Deleting data and results from internal arrays Using output directory: /home/janw/rxh3/Rxh3red/20040909-024418/default Deleting all files in /home/janw/rxh3/Rxh3red/20040909-024418/default ... ... 26 files deleted.