Reduction started at: 20041115-144242 Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-171908.fits Reduction ID: default Read keywords into global array holo_keys Read binary table data into global array holo_data Finished reading data Converted positions to arcsec, times to elapsed seconds, and reversed x-axis Pattern extent: min = 2402.5 max = 2428.8 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.860 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 -3.33008 3.34961 -0.00539 loimag -3.50342 3.40332 -0.01053 hireal -5.00000 4.99756 -0.01542 hiimag -5.00000 4.99756 -0.00105 xpos -2428.76337 2420.27086 -9.11280 ypos -2402.49179 2402.85324 -0.00119 plock160 0.28320 1.75293 1.07069 lorefpwr 0.22949 1.64551 1.18612 losigpwr -4.52881 0.18555 -4.35520 hirefpwr 0.29297 1.67236 1.23122 hisigpwr -4.44092 4.99756 -0.84052 encltemp 31.56738 32.81250 32.10714 flags 0.00000 256.00000 2.76738 phi-lock -1.71143 -0.30029 -1.04613 sindex 0.00000 128.00000 63.61104 time 0.00000 2947.98981 1473.10425 zeropt -0.00732 -0.00244 -0.00490 !!!Warning!!! philock max less than 0.2 !!!Warning!!! philock min less than -1.5 ---------------------------------------------------- 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 = 40.00598 arcsec Mean row spacing = 40.00599 arcsec (alternate estimator) Mean tracking incline = -0.21568 arcsec Mean pointing range = 0.66965 arcsec Mean pointing rms = 0.13719 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-3.84, 19.69 ) arcsec Applying pointing lags: (0, 0 ) arcsec Deciphering frequencies... Selecting hi/lo channels using method 2 Doing geometric phase correction Status bits counts: bit: 0 1 2 3 4 5 6 7 8 set: 0 0 0 0 0 0 0 0 4000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22680 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22680 data points No calibration requested... Creating template maps for gridding Using a grid cellsize of 40.0 arcseconds Using a grid of 128 points Grid has even number of points Maximum data offset = 2428.76 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 = 3.19972 at (0.0, 0.0) arcsec Real: mean = 0.00147248 sum of squares = 834.472 Imag: mean = -0.0035038 sum of squares = 1047.07 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 = 3.23171 at (0.0, 0.0) arcsec Real: mean = 0.00231393 sum of squares = 881.848 Imag: mean = -0.00366522 sum of squares = 1003.15 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 = 3.29135 at (0.0, 0.0) arcsec Real: mean = 0.0030609 sum of squares = 977.302 Imag: mean = -0.00342261 sum of squares = 911.794 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 = 3.33465 at (0.0, 0.0) arcsec Real: mean = 0.00357888 sum of squares = 1050.86 Imag: mean = -0.00290875 sum of squares = 843.003 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 = 3.38263 at (0.0, 0.0) arcsec Real: mean = 0.00381856 sum of squares = 1048.55 Imag: mean = -0.00223693 sum of squares = 850.005 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 = 3.38816 at (0.0, 0.0) arcsec Real: mean = 0.0037932 sum of squares = 972.441 Imag: mean = -0.00157233 sum of squares = 930.093 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 = 3.38265 at (0.0, 0.0) arcsec Real: mean = 0.00348418 sum of squares = 882.443 Imag: mean = -0.0010131 sum of squares = 1023.87 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 = 3.34775 at (0.0, 0.0) arcsec Real: mean = 0.00297799 sum of squares = 845.859 Imag: mean = -0.000563786 sum of squares = 1062.93 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 = 3.31304 at (0.0, 0.0) arcsec Real: mean = 0.0023164 sum of squares = 888.554 Imag: mean = -0.000456695 sum of squares = 1022.23 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 = 3.27432 at (0.0, 0.0) arcsec Real: mean = 0.00172808 sum of squares = 979.555 Imag: mean = -0.000671758 sum of squares = 934.023 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 = 3.25706 at (0.0, -40.004977724682043) arcsec Real: mean = 0.00128429 sum of squares = 1053.48 Imag: mean = -0.001046 sum of squares = 862.23 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 = 3.2477 at (0.0, -40.00398208063713) arcsec Real: mean = 0.0010572 sum of squares = 1060.55 Imag: mean = -0.00154682 sum of squares = 859.489 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 = 3.24451 at (0.0, 0.0) arcsec Real: mean = 0.00100701 sum of squares = 995.899 Imag: mean = -0.00215276 sum of squares = 926.402 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 = 3.24238 at (0.0, 0.0) arcsec Real: mean = 0.0012293 sum of squares = 905.961 Imag: mean = -0.0028024 sum of squares = 1019.24 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 = 3.25841 at (0.0, 0.0) arcsec Real: mean = 0.00181236 sum of squares = 854.354 Imag: mean = -0.00332154 sum of squares = 1072.08 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 = 3.27227 at (0.0, 0.0) arcsec Real: mean = 0.00264997 sum of squares = 881.818 Imag: mean = -0.00344031 sum of squares = 1046.84 Masking frequency index 0 Mask scale size = 3.05889 Masking frequency index 1 Mask scale size = 3.05896 Masking frequency index 2 Mask scale size = 3.05904 Masking frequency index 3 Mask scale size = 3.05911 Masking frequency index 4 Mask scale size = 3.05919 Masking frequency index 5 Mask scale size = 3.05927 Masking frequency index 6 Mask scale size = 3.05934 Masking frequency index 7 Mask scale size = 3.05942 Masking frequency index 8 Mask scale size = 3.05949 Masking frequency index 9 Mask scale size = 3.05957 Masking frequency index 10 Mask scale size = 3.05965 Masking frequency index 11 Mask scale size = 3.05972 Masking frequency index 12 Mask scale size = 3.0598 Masking frequency index 13 Mask scale size = 3.05988 Masking frequency index 14 Mask scale size = 3.05995 Masking frequency index 15 Mask scale size = 3.06003 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.229492 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.219727 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.195312 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.158691 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.168457 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.17334 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.178223 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.012207 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.012207 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -1.1206 100.59 Freq 1: Shift, scale = -1.5572 98.905 Freq 2: Shift, scale = -1.9995 97.945 Freq 3: Shift, scale = -2.4441 98.006 Freq 4: Shift, scale = -2.8912 99.015 Freq 5: Shift, scale = 2.9456 100.69 Freq 6: Shift, scale = 2.5017 102.37 Freq 7: Shift, scale = 2.0597 104.08 Freq 8: Shift, scale = 1.6198 105.46 Freq 9: Shift, scale = 1.1868 106.09 Freq 10: Shift, scale = 0.75529 105.92 Freq 11: Shift, scale = 0.32903 105.16 Freq 12: Shift, scale = -0.097801 104.07 Freq 13: Shift, scale = -0.52774 103.1 Freq 14: Shift, scale = -0.96197 101.86 Freq 15: Shift, scale = -1.3986 100.84 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 = 3 piston: -0.408 radians x offset: 0.014 arcsec y offset: 0.129 arcsec defocus: -0.00336 mm Estimated x pointing error is -3.826 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.82 arcsec (used 19.69 arcsec) Estimated defocus error is 2.857 mm (used 2.86 mm) Fitting frequency 1 Minimiser fit code = 1 piston: -0.408 radians x offset: -0.000244 arcsec y offset: 0.1 arcsec defocus: -0.00568 mm Estimated x pointing error is -3.84 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.79 arcsec (used 19.69 arcsec) Estimated defocus error is 2.854 mm (used 2.86 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.412 radians x offset: -0.0192 arcsec y offset: 0.0755 arcsec defocus: -0.00633 mm Estimated x pointing error is -3.859 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec) Estimated defocus error is 2.854 mm (used 2.86 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.419 radians x offset: -0.0272 arcsec y offset: 0.0632 arcsec defocus: -0.00555 mm Estimated x pointing error is -3.867 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.75 arcsec (used 19.69 arcsec) Estimated defocus error is 2.854 mm (used 2.86 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.429 radians x offset: -0.0144 arcsec y offset: 0.0605 arcsec defocus: -0.00455 mm Estimated x pointing error is -3.854 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.75 arcsec (used 19.69 arcsec) Estimated defocus error is 2.855 mm (used 2.86 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.436 radians x offset: 0.0124 arcsec y offset: 0.0676 arcsec defocus: -0.00253 mm Estimated x pointing error is -3.828 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.76 arcsec (used 19.69 arcsec) Estimated defocus error is 2.857 mm (used 2.86 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.441 radians x offset: 0.0336 arcsec y offset: 0.0838 arcsec defocus: -0.000967 mm Estimated x pointing error is -3.806 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec) Estimated defocus error is 2.859 mm (used 2.86 mm) Fitting frequency 7 Minimiser fit code = 1 piston: -0.444 radians x offset: 0.0765 arcsec y offset: 0.0936 arcsec defocus: 0.00177 mm Estimated x pointing error is -3.763 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.78 arcsec (used 19.69 arcsec) Estimated defocus error is 2.862 mm (used 2.86 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.445 radians x offset: 0.11 arcsec y offset: 0.0799 arcsec defocus: 0.00182 mm Estimated x pointing error is -3.73 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec) Estimated defocus error is 2.862 mm (used 2.86 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.441 radians x offset: 0.141 arcsec y offset: 0.076 arcsec defocus: -0.00186 mm Estimated x pointing error is -3.699 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec) Estimated defocus error is 2.858 mm (used 2.86 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.436 radians x offset: 0.146 arcsec y offset: 0.051 arcsec defocus: -0.0066 mm Estimated x pointing error is -3.694 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.74 arcsec (used 19.69 arcsec) Estimated defocus error is 2.853 mm (used 2.86 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.425 radians x offset: 0.141 arcsec y offset: 0.0373 arcsec defocus: -0.0107 mm Estimated x pointing error is -3.699 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.73 arcsec (used 19.69 arcsec) Estimated defocus error is 2.849 mm (used 2.86 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.413 radians x offset: 0.129 arcsec y offset: 0.0178 arcsec defocus: -0.0134 mm Estimated x pointing error is -3.711 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.71 arcsec (used 19.69 arcsec) Estimated defocus error is 2.847 mm (used 2.86 mm) Fitting frequency 13 Minimiser fit code = 3 piston: -0.403 radians x offset: 0.131 arcsec y offset: 0.0168 arcsec defocus: -0.0128 mm Estimated x pointing error is -3.709 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.71 arcsec (used 19.69 arcsec) Estimated defocus error is 2.847 mm (used 2.86 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.397 radians x offset: 0.12 arcsec y offset: 0.0375 arcsec defocus: -0.0111 mm Estimated x pointing error is -3.72 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.73 arcsec (used 19.69 arcsec) Estimated defocus error is 2.849 mm (used 2.86 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.395 radians x offset: 0.122 arcsec y offset: 0.045 arcsec defocus: -0.00835 mm Estimated x pointing error is -3.718 arcsec (used -3.84 arcsec) Estimated y pointing error is 19.74 arcsec (used 19.69 arcsec) Estimated defocus error is 2.852 mm (used 2.86 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 0.00044 piston 1 1 -0.00088 tilt_x 1 -1 0.01707 tilt_y 2 2 0.10862 astigmatism_0 2 0 0.00588 curvature 2 -2 0.03358 astigmatism45 3 3 0.02175 trefoil_0 3 1 -0.03301 coma_x 3 -1 0.04144 coma_y 3 -3 -0.06293 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 0.00038 piston 1 1 -0.00070 tilt_x 1 -1 0.01801 tilt_y 2 2 0.10608 astigmatism_0 2 0 0.00586 curvature 2 -2 0.03396 astigmatism45 3 3 0.02091 trefoil_0 3 1 -0.03155 coma_x 3 -1 0.04360 coma_y 3 -3 -0.05995 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 0.00027 piston 1 1 -0.00071 tilt_x 1 -1 0.01844 tilt_y 2 2 0.10641 astigmatism_0 2 0 0.00550 curvature 2 -2 0.03429 astigmatism45 3 3 0.02018 trefoil_0 3 1 -0.03165 coma_x 3 -1 0.04394 coma_y 3 -3 -0.05806 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 0.00017 piston 1 1 -0.00060 tilt_x 1 -1 0.01853 tilt_y 2 2 0.10620 astigmatism_0 2 0 0.00518 curvature 2 -2 0.03452 astigmatism45 3 3 0.02020 trefoil_0 3 1 -0.03150 coma_x 3 -1 0.04327 coma_y 3 -3 -0.05731 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 0.00002 piston 1 1 -0.00033 tilt_x 1 -1 0.01852 tilt_y 2 2 0.10834 astigmatism_0 2 0 0.00467 curvature 2 -2 0.03366 astigmatism45 3 3 0.02072 trefoil_0 3 1 -0.03147 coma_x 3 -1 0.04255 coma_y 3 -3 -0.05885 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 -0.00008 piston 1 1 0.00054 tilt_x 1 -1 0.01853 tilt_y 2 2 0.11112 astigmatism_0 2 0 0.00445 curvature 2 -2 0.03443 astigmatism45 3 3 0.02073 trefoil_0 3 1 -0.03037 coma_x 3 -1 0.04222 coma_y 3 -3 -0.06163 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 -0.00005 piston 1 1 0.00042 tilt_x 1 -1 0.01780 tilt_y 2 2 0.11410 astigmatism_0 2 0 0.00427 curvature 2 -2 0.03200 astigmatism45 3 3 0.01979 trefoil_0 3 1 -0.03227 coma_x 3 -1 0.04142 coma_y 3 -3 -0.06417 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 0.00003 piston 1 1 0.00045 tilt_x 1 -1 0.01741 tilt_y 2 2 0.11615 astigmatism_0 2 0 0.00431 curvature 2 -2 0.03168 astigmatism45 3 3 0.01864 trefoil_0 3 1 -0.03338 coma_x 3 -1 0.04156 coma_y 3 -3 -0.06553 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 0.00020 piston 1 1 0.00016 tilt_x 1 -1 0.01709 tilt_y 2 2 0.11614 astigmatism_0 2 0 0.00464 curvature 2 -2 0.03007 astigmatism45 3 3 0.01674 trefoil_0 3 1 -0.03431 coma_x 3 -1 0.04237 coma_y 3 -3 -0.06549 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 0.00037 piston 1 1 -0.00005 tilt_x 1 -1 0.01696 tilt_y 2 2 0.11425 astigmatism_0 2 0 0.00508 curvature 2 -2 0.02999 astigmatism45 3 3 0.01573 trefoil_0 3 1 -0.03422 coma_x 3 -1 0.04302 coma_y 3 -3 -0.06384 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 0.00054 piston 1 1 -0.00015 tilt_x 1 -1 0.01675 tilt_y 2 2 0.11141 astigmatism_0 2 0 0.00554 curvature 2 -2 0.02975 astigmatism45 3 3 0.01486 trefoil_0 3 1 -0.03359 coma_x 3 -1 0.04275 coma_y 3 -3 -0.06168 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 0.00058 piston 1 1 -0.00043 tilt_x 1 -1 0.01710 tilt_y 2 2 0.10865 astigmatism_0 2 0 0.00576 curvature 2 -2 0.03021 astigmatism45 3 3 0.01560 trefoil_0 3 1 -0.03335 coma_x 3 -1 0.04328 coma_y 3 -3 -0.05927 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 0.00056 piston 1 1 -0.00075 tilt_x 1 -1 0.01765 tilt_y 2 2 0.10793 astigmatism_0 2 0 0.00583 curvature 2 -2 0.03002 astigmatism45 3 3 0.01624 trefoil_0 3 1 -0.03362 coma_x 3 -1 0.04411 coma_y 3 -3 -0.05868 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 0.00050 piston 1 1 -0.00059 tilt_x 1 -1 0.01823 tilt_y 2 2 0.10760 astigmatism_0 2 0 0.00590 curvature 2 -2 0.03011 astigmatism45 3 3 0.01653 trefoil_0 3 1 -0.03261 coma_x 3 -1 0.04477 coma_y 3 -3 -0.05976 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 -0.00034 tilt_x 1 -1 0.01848 tilt_y 2 2 0.10861 astigmatism_0 2 0 0.00589 curvature 2 -2 0.02953 astigmatism45 3 3 0.01730 trefoil_0 3 1 -0.03167 coma_x 3 -1 0.04478 coma_y 3 -3 -0.06083 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 0.00042 piston 1 1 0.00055 tilt_x 1 -1 0.01937 tilt_y 2 2 0.10860 astigmatism_0 2 0 0.00602 curvature 2 -2 0.02941 astigmatism45 3 3 0.01689 trefoil_0 3 1 -0.02869 coma_x 3 -1 0.04692 coma_y 3 -3 -0.06307 trefoil_30 Averaged 16 maps to make holo(res.mean_surface) Computing differences from mean surface (phase) Unweighted rms analysis, frequency 0 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.8 25.5 21 22.1 25.1 35 51.7 38.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 26.5 20.2 22.2 24.2 27.3 41.1 33.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.08 5.99 8.18 10.1 13 18 26 16.7 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35 25.6 21.3 22.2 25.1 34.8 52.6 38.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36 26.7 20.5 22.4 24.3 27.4 42.3 33.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.13 6.06 8.22 10.1 12.7 17.5 25.4 16.4 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.5 26 21.7 22.5 25.3 34.9 53.4 38.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.5 27.1 20.7 22.8 24.5 27.6 43.3 34.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.15 6.09 8.26 10.1 12.7 17.5 25.3 16.3 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 26 22.2 22.9 25.4 35.1 54 38.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.6 27.2 21.3 23.3 24.6 27.8 44.1 34.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.11 6.03 8.19 10 12.7 17.4 25.2 16.3 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36.1 25.9 22.4 23.3 25 35.5 54.3 38.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 37 27.1 21.5 23.7 24.3 27.9 44.2 34 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.08 5.98 8.16 10.1 12.8 17.7 25.6 16.5 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36.4 25.8 22.2 23.4 24.4 36 54.5 38.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 37.2 27 21.4 23.7 23.8 27.9 43.9 33.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.03 5.91 8.13 10.1 13.1 18.2 26.3 16.9 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36.9 26.3 21.8 23.4 23.9 36.3 53.9 38.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 37.8 27.3 21.1 23.5 23.5 27.8 42.8 33.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.06 5.97 8.23 10.3 13.4 18.6 26.9 17.2 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36.6 26.1 21.6 23.3 23.9 36.2 52.9 37.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 37.4 27.2 20.8 23.2 23.4 27.5 41.5 32.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.11 6.06 8.35 10.5 13.6 18.9 27.3 17.5 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.9 26 21.3 22.9 24.2 35.9 52 37.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.8 27.1 20.5 22.8 23.4 27.1 40.4 32.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.17 6.18 8.47 10.5 13.6 18.8 27.2 17.5 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.9 26 20.9 22.6 24.4 35.4 51.4 37.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 27.2 20.2 22.6 23.7 26.9 39.8 32 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.2 6.21 8.48 10.5 13.4 18.5 26.8 17.2 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.9 26.4 20.7 22.2 24.4 35 50.7 37.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.9 27.5 20 22.2 23.7 26.9 39.4 32.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.16 6.14 8.36 10.3 13.1 18 26.1 16.8 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.3 26.5 20.8 21.9 24.4 34.6 50.8 37.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.2 27.6 20 21.9 23.7 26.8 39.8 32.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.17 6.15 8.33 10.2 12.8 17.6 25.6 16.5 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.3 26.4 20.8 21.7 24.2 34.6 50.9 37.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.2 27.5 20 21.6 23.6 26.8 40.2 32.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.22 6.22 8.41 10.2 12.7 17.5 25.4 16.4 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.5 26.2 20.9 21.7 23.9 34.6 51.6 37.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.5 27.3 20.2 21.4 23.5 26.7 41.1 33.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.21 6.21 8.4 10.2 12.7 17.5 25.5 16.4 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.8 25.9 21.1 21.9 23.9 35 52.7 38.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.9 27 20.5 21.6 23.5 27.2 42.1 33.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.18 6.16 8.36 10.2 12.8 17.7 25.7 16.5 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 25.6 21.3 22.3 24 35.3 54 38.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 36.8 26.9 20.8 22 23.7 27.6 43.2 34.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.19 6.18 8.38 10.2 12.9 17.8 25.9 16.6 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 32 24.7 20.3 21.4 23.5 34.2 51.8 37.1 Mean deviation is 2.3851917049268132 microns Taper = 10 dB, Ruze illumination-weighted rms = 35.7 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 = 32.5 micron Centre pixel: 64.0 64.0 Value = 2314.9 (estimate), 3426.12 (perfect) Strehl = 0.456521 Strehl ratio estimate = 0.4565 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 = 31.2 micron Centre pixel: 64.0 64.0 Value = 1711.91 (estimate), 3426.12 (perfect) Strehl = 0.249664 Strehl ratio estimate = 0.2497 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 41.9 6.6 12.1 44.1 2 1 2 53.3 5.7 30.1 61.5 3 1 3 101.5 26.7 26.2 108.2 4 1 4 101.0 25.4 21.3 106.3 5 1 5 70.9 56.8 103.8 137.9 6 1 6 107.2 51.2 47.9 128.1 7 1 7 90.0 49.6 59.9 119.0 8 1 8 78.0 81.3 84.1 140.5 9 1 9 -5.6 36.3 29.6 47.1 10 1 10 73.2 39.9 57.1 101.0 11 1 11 87.9 37.5 13.3 96.4 12 1 12 53.8 -1.1 9.1 54.6 13 2 1 31.3 -36.9 -31.3 57.7 14 2 2 15.5 -13.1 -10.9 23.0 15 2 3 43.7 -20.4 -18.7 51.7 16 2 4 26.7 -8.2 -1.0 27.9 17 2 5 57.1 6.6 5.8 57.8 18 2 6 44.1 10.9 36.8 58.5 19 2 7 31.3 14.2 10.9 36.0 20 2 8 66.6 9.9 -0.0 67.4 21 2 9 59.2 -4.3 -1.7 59.4 22 2 10 45.0 5.7 31.7 55.3 23 2 11 45.9 7.4 -2.1 46.5 24 2 12 44.3 -8.6 -13.8 47.2 25 2 13 59.0 -1.3 -18.2 61.8 26 2 14 49.8 -21.0 3.9 54.2 27 2 15 71.6 -13.7 -15.4 74.5 28 2 16 60.1 13.5 0.8 61.6 29 2 17 41.2 11.2 2.7 42.8 30 2 18 41.7 22.1 -13.1 49.0 31 2 19 7.1 -32.5 -18.3 38.0 32 2 20 48.4 -37.1 -43.4 74.8 33 2 21 29.7 -20.9 -19.0 41.0 34 2 22 21.3 -43.0 -36.8 60.5 35 2 23 39.6 -10.5 -9.9 42.1 36 2 24 26.1 -27.2 -31.1 48.8 37 3 1 -16.7 -1.9 -23.2 28.6 38 3 2 0.9 -5.8 -13.3 14.6 39 3 3 -8.8 -7.4 -18.8 22.0 40 3 4 -4.0 -10.5 11.6 16.1 41 3 5 -14.3 4.1 -9.1 17.4 42 3 6 -20.0 -4.5 -2.4 20.7 43 3 7 -6.7 -4.5 -16.7 18.6 44 3 8 5.0 -2.4 -9.5 11.0 45 3 9 18.0 -8.5 -19.0 27.5 46 3 10 8.8 -1.1 -23.9 25.4 47 3 11 35.3 8.6 -12.1 38.3 48 3 12 18.0 3.6 -15.0 23.7 49 3 13 0.1 12.5 2.0 12.7 50 3 14 22.3 -3.6 -6.1 23.4 51 3 15 -0.3 -2.6 1.9 3.3 52 3 16 18.2 -7.7 -3.3 20.0 53 3 17 31.5 -2.7 -9.7 33.1 54 3 18 23.3 -0.2 -6.1 24.1 55 3 19 21.4 -2.6 -42.0 47.2 56 3 20 3.9 -19.6 -33.0 38.6 57 3 21 -2.6 -26.4 -30.3 40.2 58 3 22 -17.4 -16.4 -11.8 26.7 59 3 23 -34.0 -23.3 -16.9 44.6 60 3 24 -20.5 -33.0 -34.2 51.8 61 3 25 -23.5 -35.3 -22.3 47.9 62 3 26 -58.0 -26.4 -2.2 63.7 63 3 27 -44.8 -27.2 -29.2 60.0 64 3 28 4.9 -28.3 -49.9 57.6 65 3 29 -2.6 -35.9 -39.1 53.1 66 3 30 -1.5 -36.5 -58.8 69.2 67 3 31 5.9 -18.7 -23.5 30.6 68 3 32 19.8 4.3 -37.3 42.5 69 3 33 25.8 12.6 22.7 36.6 70 3 34 25.1 9.6 7.2 27.8 71 3 35 25.0 20.1 -53.3 62.3 72 3 36 4.8 -13.1 -28.4 31.6 73 3 37 -18.9 -18.6 -75.4 79.9 74 3 38 -18.6 -4.7 -43.0 47.0 75 3 39 -11.3 -13.7 -37.3 41.3 76 3 40 26.2 -15.0 -36.4 47.3 77 3 41 -6.8 -22.0 -1.4 23.1 78 3 42 -9.7 -4.5 -6.0 12.3 79 3 43 -12.4 -2.9 -13.0 18.2 80 3 44 8.7 -2.3 -2.6 9.4 81 3 45 11.2 -9.0 -1.8 14.5 82 3 46 -4.3 -4.7 -13.8 15.2 83 3 47 -5.9 -7.5 -19.1 21.3 84 3 48 -15.5 -5.0 -45.8 48.6 85 4 1 -12.9 -25.3 4.5 28.8 86 4 2 -38.4 -25.7 -29.9 55.0 87 4 3 -24.7 -31.2 -40.2 56.6 88 4 4 -7.5 -13.2 -52.2 54.4 89 4 5 8.5 -5.2 -25.5 27.4 90 4 6 9.6 -10.4 -18.4 23.2 91 4 7 12.9 -8.9 -10.0 18.6 92 4 8 -6.8 3.9 -17.5 19.2 93 4 9 -10.5 -4.8 -15.7 19.5 94 4 10 -12.7 -6.8 -28.2 31.7 95 4 11 -20.4 0.1 -8.8 22.2 96 4 12 -25.4 5.4 -28.0 38.2 97 4 13 -6.2 -12.6 40.9 43.3 98 4 14 -7.7 -0.2 6.5 10.1 99 4 15 -18.8 -11.2 -23.9 32.4 100 4 16 -45.8 -1.1 -21.4 50.6 101 4 17 -16.9 -7.1 -21.2 28.0 102 4 18 10.0 -23.9 -0.5 25.9 103 4 19 -22.3 -28.1 -21.2 41.6 104 4 20 -8.7 -17.0 -43.9 47.9 105 4 21 -15.9 -26.4 -33.3 45.4 106 4 22 -63.6 -25.0 -1.2 68.3 107 4 23 -28.9 -58.6 -26.8 70.6 108 4 24 0.5 -22.2 5.7 22.9 109 4 25 -19.8 -22.1 24.7 38.6 110 4 26 -7.8 -41.0 -15.2 44.4 111 4 27 -31.2 -27.9 -15.4 44.6 112 4 28 -15.2 -30.0 -16.1 37.3 113 4 29 -53.6 -12.7 -51.0 75.1 114 4 30 -58.0 -34.7 29.1 73.6 115 4 31 -57.5 -31.8 -8.4 66.2 116 4 32 -44.1 -12.7 -13.9 47.9 117 4 33 -3.4 -15.6 20.7 26.2 118 4 34 18.2 4.8 -5.6 19.7 119 4 35 -79.2 37.7 -54.8 103.4 120 4 36 -48.4 -23.2 -39.5 66.6 121 4 37 -9.1 -17.7 -46.4 50.5 122 4 38 -24.9 -15.2 -22.7 37.0 123 4 39 -27.2 -18.0 -31.0 45.0 124 4 40 -29.8 -3.8 -21.7 37.1 125 4 41 2.4 15.0 15.1 21.4 126 4 42 26.7 -8.9 -8.7 29.4 127 4 43 4.4 -15.1 -23.4 28.2 128 4 44 -12.0 8.4 0.6 14.7 129 4 45 -25.9 -2.7 20.2 32.9 130 4 46 -17.6 -20.6 0.4 27.0 131 4 47 -58.7 -7.1 -48.4 76.4 132 4 48 -34.5 -23.3 -17.7 45.3 133 5 1 -5.3 -0.7 -8.3 9.9 134 5 2 22.9 17.5 -36.2 46.3 135 5 3 -60.2 -3.9 -15.2 62.2 136 5 4 -17.3 -6.9 3.7 19.0 137 5 5 -26.7 -1.1 -18.0 32.2 138 5 6 3.8 3.9 -33.5 34.0 139 5 7 8.6 20.6 10.3 24.5 140 5 8 -0.0 25.4 -4.8 25.8 141 5 9 8.8 15.1 12.3 21.4 142 5 10 -9.3 16.4 14.1 23.5 143 5 11 11.9 0.1 7.1 13.9 144 5 12 -25.9 33.1 16.5 45.1 145 5 13 -9.2 14.5 14.8 22.6 146 5 14 7.1 27.3 -6.7 29.0 147 5 15 -10.0 9.4 8.1 16.0 148 5 16 -5.0 13.6 4.3 15.1 149 5 17 -16.4 13.3 4.1 21.5 150 5 18 -8.2 -20.7 177.9 179.3 151 5 19 -18.0 -24.3 -27.0 40.5 152 5 20 -27.8 -11.5 -23.8 38.4 153 5 21 -7.9 -6.5 -29.9 31.6 154 5 22 -16.8 1.4 -36.3 40.1 155 5 23 -36.4 -20.7 -34.7 54.4 156 5 24 -20.9 -36.4 -19.0 46.0 157 5 25 -21.4 -37.2 -29.2 51.9 158 5 26 -34.5 -10.9 -25.1 44.1 159 5 27 -4.2 -2.4 -26.0 26.4 160 5 28 -7.5 -16.6 -25.7 31.5 161 5 29 4.0 -13.9 -29.6 32.9 162 5 30 6.4 -19.6 -15.5 25.7 163 5 31 17.1 -9.2 -1.6 19.5 164 5 32 -20.6 -4.9 36.9 42.5 165 5 33 -4.1 -1.3 7.2 8.4 166 5 34 -6.1 0.1 23.0 23.8 167 5 35 3.1 47.0 -29.7 55.7 168 5 36 -20.0 -12.6 -25.4 34.6 169 5 37 -13.4 -10.5 -15.2 22.8 170 5 38 7.1 -17.6 -36.0 40.7 171 5 39 -22.0 14.2 -40.3 48.1 172 5 40 -2.3 11.2 -23.8 26.4 173 5 41 15.2 9.9 17.6 25.3 174 5 42 -29.0 24.7 8.5 39.1 175 5 43 30.8 27.3 24.6 47.9 176 5 44 57.2 24.1 -1.9 62.1 177 5 45 24.1 19.2 -41.0 51.3 178 5 46 -3.0 -9.9 26.4 28.3 179 5 47 25.7 1.5 -49.2 55.5 180 5 48 -1.6 -1.4 -21.6 21.7 181 6 1 3.1 -56.0 -90.2 106.2 182 6 2 -12.1 -45.1 -97.0 107.6 183 6 3 42.5 -45.8 -67.5 92.0 184 6 4 -19.9 -12.4 -64.0 68.1 185 6 5 23.6 -12.9 -18.6 32.7 186 6 6 6.7 10.7 -10.4 16.4 187 6 7 -5.9 3.2 -1.8 7.0 188 6 8 -19.6 11.9 -13.8 26.8 189 6 9 52.7 15.8 104.7 118.2 190 6 10 46.2 26.8 62.0 81.8 191 6 11 17.1 31.1 7.1 36.2 192 6 12 17.3 44.9 19.1 51.8 193 6 13 14.3 37.0 15.8 42.7 194 6 14 -13.2 11.5 5.6 18.4 195 6 15 18.5 2.3 38.6 42.9 196 6 16 26.8 3.7 44.3 51.9 197 6 17 -34.0 -6.2 -6.6 35.2 198 6 18 -25.9 -11.3 -15.0 32.0 199 6 19 -10.5 -27.0 8.0 30.1 200 6 20 -9.9 1.9 13.9 17.2 201 6 21 -73.3 -15.1 -105.9 129.7 202 6 22 -3.0 -28.6 19.8 35.0 203 6 23 -36.5 -24.4 33.3 55.1 204 6 24 -54.4 -25.2 8.0 60.4 205 6 25 -80.5 -25.1 -32.7 90.4 206 6 26 -54.2 -47.2 -18.8 74.3 207 6 27 -70.4 -40.4 -11.0 81.9 208 6 28 -15.6 -15.6 20.8 30.3 209 6 29 -44.8 -21.1 -59.5 77.4 210 6 30 -30.7 -11.7 37.7 50.0 211 6 31 -17.7 -11.1 23.5 31.4 212 6 32 -9.3 5.8 -19.8 22.6 213 6 33 24.9 29.1 183.0 187.0 214 6 34 31.0 24.0 45.2 59.8 215 6 35 2.4 51.4 66.3 83.9 216 6 36 -15.8 36.2 76.8 86.3 217 6 37 -21.7 30.3 56.7 67.8 218 6 38 -12.7 -7.5 9.7 17.7 219 6 39 48.4 8.7 61.4 78.7 220 6 40 -62.3 55.2 26.2 87.2 221 6 41 16.6 61.3 66.4 91.8 222 6 42 78.4 15.1 65.4 103.2 223 6 43 6.1 13.2 59.2 61.0 224 6 44 1.7 15.9 38.9 42.1 225 6 45 12.1 10.7 74.8 76.5 226 6 46 41.1 -37.4 -35.0 65.7 227 6 47 -14.0 -48.0 -84.9 98.5 228 6 48 -24.4 -60.0 -101.8 120.7 229 7 1 -119.4 -66.5 -91.3 164.4 230 7 2 -133.4 -83.4 -115.5 195.2 231 7 3 -62.7 -81.5 -53.9 116.1 232 7 4 -35.2 12.3 -37.1 52.6 233 7 5 -47.4 -44.5 22.3 68.7 234 7 6 -24.7 28.6 -10.2 39.1 235 7 7 10.9 26.0 52.7 59.8 236 7 8 32.8 90.3 0.2 96.1 237 7 9 91.6 48.4 103.8 146.6 238 7 10 56.9 86.6 82.6 132.5 239 7 11 20.5 63.7 57.6 88.3 240 7 12 40.4 84.0 89.1 129.0 241 7 13 24.9 91.0 92.1 131.9 242 7 14 24.2 79.9 87.2 120.7 243 7 15 -7.2 54.9 67.9 87.6 244 7 16 47.7 89.6 44.7 110.9 245 7 17 14.3 6.8 87.1 88.6 246 7 18 12.9 48.2 34.7 60.8 247 7 19 15.7 26.6 65.0 72.0 248 7 20 0.2 12.8 66.6 67.8 249 7 21 35.1 49.9 143.0 155.5 250 7 22 -14.4 56.7 103.7 119.1 251 7 23 40.8 62.4 94.0 119.9 252 7 24 9.3 72.9 121.5 142.0 253 7 25 -34.3 73.8 103.7 131.9 254 7 26 -9.1 55.2 57.7 80.3 255 7 27 -43.6 52.6 66.1 95.1 256 7 28 -15.5 82.3 263.3 276.3 257 7 29 -12.2 12.3 -23.4 29.1 258 7 30 -43.9 -23.1 -39.6 63.5 259 7 31 -1.3 -28.3 -46.2 54.3 260 7 32 16.7 15.6 3.6 23.2 261 7 33 61.4 -245.4 159.1 298.8 262 7 34 62.2 50.6 40.7 89.9 263 7 35 82.6 93.5 74.3 145.2 264 7 36 64.7 73.9 98.8 139.3 265 7 37 29.0 79.1 46.9 96.4 266 7 38 27.6 47.8 21.5 59.2 267 7 39 72.5 77.4 41.9 114.1 268 7 40 85.6 255.7 24.4 270.8 269 7 41 70.6 88.6 19.7 115.0 270 7 42 66.0 49.4 71.7 109.3 271 7 43 -8.4 59.6 -69.2 91.7 272 7 44 4.0 -15.9 -14.0 21.6 273 7 45 -56.1 -0.6 18.9 59.2 274 7 46 -29.1 -43.2 -24.8 57.7 275 7 47 -67.7 -26.2 -90.6 116.1 276 7 48 -88.9 53.8 -40.0 111.4 Creating sector-motor-move file sector motor steps 1 1 -11 1 2 3 1 3 -10 1 4 -19 1 5 -3 1 6 -6 1 7 -16 1 8 -24 1 9 -19 1 10 -20 1 11 -14 1 12 13 1 13 -35 1 14 -25 1 15 -40 1 16 -29 1 17 -13 1 18 -3 1 19 -28 1 20 -20 1 21 -36 1 22 -27 1 23 -17 1 24 0 1 25 1 1 26 -2 1 27 -5 1 28 -16 1 29 -4 1 30 -2 1 31 -4 1 32 -1 1 33 -18 1 34 -12 1 35 -9 1 36 -7 1 37 -11 1 38 5 1 39 7 1 40 -9 1 41 -7 1 42 -11 1 43 -2 1 44 0 1 45 -1 1 46 1 1 47 -7 1 48 -3 1 49 -5 1 50 -2 1 51 -2 1 52 -3 1 53 -4 1 54 4 1 55 -4 1 56 -1 1 57 0 1 58 2 1 59 12 1 60 3 1 61 -7 1 62 0 1 63 -5 1 64 -6 1 65 9 1 66 -9 1 67 3 1 68 -3 1 69 -1 2 1 0 2 2 27 2 3 10 2 4 -4 2 5 3 2 6 -5 2 7 16 2 8 7 2 9 3 2 10 0 2 11 0 2 12 -1 2 13 -3 2 14 8 2 15 -7 2 16 -3 2 17 3 2 18 2 2 19 6 2 20 -13 2 21 -14 2 22 -5 2 23 -3 2 24 7 2 25 -1 2 26 7 2 27 0 2 28 -5 2 29 1 2 30 -2 2 31 3 2 32 6 2 33 2 2 34 -3 2 35 -2 2 36 3 2 37 -10 2 38 1 2 39 1 2 40 -5 2 41 -3 2 42 2 2 43 -5 2 44 0 2 45 -8 2 46 -7 2 47 -1 2 48 2 2 49 -5 2 50 -1 2 51 -2 2 52 0 2 53 -2 2 54 8 2 55 0 2 56 -1 2 57 -6 2 58 1 2 59 16 2 60 9 2 61 -2 2 62 1 2 63 -4 2 64 2 2 65 13 2 66 -5 2 67 -2 2 68 0 2 69 1 3 1 27 3 2 25 3 3 12 3 4 5 3 5 13 3 6 5 3 7 17 3 8 19 3 9 6 3 10 2 3 11 9 3 12 5 3 13 25 3 14 26 3 15 17 3 16 19 3 17 8 3 18 14 3 19 31 3 20 14 3 21 28 3 22 32 3 23 4 3 24 16 3 25 5 3 26 10 3 27 -7 3 28 -8 3 29 1 3 30 -7 3 31 2 3 32 0 3 33 3 3 34 -2 3 35 0 3 36 -6 3 37 4 3 38 5 3 39 -2 3 40 -8 3 41 -2 3 42 -3 3 43 3 3 44 4 3 45 2 3 46 -4 3 47 -1 3 48 -3 3 49 -3 3 50 2 3 51 10 3 52 11 3 53 3 3 54 13 3 55 -7 3 56 0 3 57 2 3 58 8 3 59 31 3 60 8 3 61 -5 3 62 -2 3 63 5 3 64 4 3 65 17 3 66 1 3 67 -4 3 68 1 3 69 5 4 1 13 4 2 27 4 3 14 4 4 13 4 5 1 4 6 8 4 7 20 4 8 16 4 9 -2 4 10 11 4 11 0 4 12 5 4 13 26 4 14 24 4 15 7 4 16 1 4 17 3 4 18 -4 4 19 28 4 20 27 4 21 7 4 22 4 4 23 11 4 24 4 4 25 1 4 26 4 4 27 -1 4 28 -6 4 29 0 4 30 -14 4 31 2 4 32 2 4 33 -3 4 34 -7 4 35 -3 4 36 -5 4 37 -2 4 38 8 4 39 2 4 40 1 4 41 0 4 42 -2 4 43 4 4 44 4 4 45 -2 4 46 12 4 47 -3 4 48 -1 4 49 0 4 50 0 4 51 0 4 52 0 4 53 3 4 54 20 4 55 -1 4 56 -1 4 57 6 4 58 7 4 59 30 4 60 6 4 61 0 4 62 3 4 63 0 4 64 -1 4 65 9 4 66 3 4 67 -1 4 68 -2 4 69 5 5 1 20 5 2 3 5 3 0 5 4 4 5 5 0 5 6 -3 5 7 19 5 8 8 5 9 4 5 10 2 5 11 -8 5 12 -3 5 13 10 5 14 14 5 15 3 5 16 -4 5 17 -3 5 18 -7 5 19 26 5 20 2 5 21 4 5 22 -2 5 23 -1 5 24 -10 5 25 -7 5 26 -3 5 27 -8 5 28 -13 5 29 -5 5 30 -2 5 31 -8 5 32 -7 5 33 -5 5 34 -6 5 35 -8 5 36 -6 5 37 54 5 38 -6 5 39 -2 5 40 0 5 41 -7 5 42 3 5 43 1 5 44 4 5 45 -5 5 46 -6 5 47 -2 5 48 -5 5 49 -12 5 50 0 5 51 6 5 52 9 5 53 1 5 54 13 5 55 -1 5 56 0 5 57 7 5 58 17 5 59 21 5 60 31 5 61 -2 5 62 0 5 63 9 5 64 2 5 65 18 5 66 0 5 67 -10 5 68 -6 5 69 1 6 1 37 6 2 22 6 3 2 6 4 2 6 5 -7 6 6 -16 6 7 28 6 8 19 6 9 12 6 10 10 6 11 -7 6 12 -11 6 13 31 6 14 17 6 15 -4 6 16 6 6 17 -8 6 18 0 6 19 43 6 20 15 6 21 10 6 22 -32 6 23 -4 6 24 -22 6 25 -5 6 26 -11 6 27 -6 6 28 1 6 29 -6 6 30 0 6 31 -10 6 32 -6 6 33 -11 6 34 -8 6 35 -17 6 36 -8 6 37 -11 6 38 0 6 39 -5 6 40 0 6 41 -7 6 42 -19 6 43 -9 6 44 -1 6 45 -2 6 46 -10 6 47 -8 6 48 -4 6 49 -5 6 50 -7 6 51 -10 6 52 -4 6 53 -2 6 54 13 6 55 -3 6 56 -5 6 57 -5 6 58 15 6 59 32 6 60 14 6 61 -9 6 62 -8 6 63 0 6 64 0 6 65 14 6 66 0 6 67 -10 6 68 -10 6 69 -6 7 1 80 7 2 25 7 3 -4 7 4 6 7 5 -4 7 6 -4 7 7 20 7 8 16 7 9 -13 7 10 -3 7 11 -12 7 12 -21 7 13 17 7 14 16 7 15 -2 7 16 -5 7 17 -14 7 18 -16 7 19 31 7 20 22 7 21 -10 7 22 -10 7 23 -7 7 24 -24 7 25 -7 7 26 -5 7 27 -2 7 28 -4 7 29 -9 7 30 -4 7 31 -7 7 32 0 7 33 -1 7 34 -4 7 35 -8 7 36 -9 7 37 -7 7 38 -3 7 39 -10 7 40 -4 7 41 -12 7 42 -2 7 43 -8 7 44 -11 7 45 -6 7 46 7 7 47 -6 7 48 -6 7 49 -8 7 50 -8 7 51 -13 7 52 1 7 53 -6 7 54 15 7 55 0 7 56 -8 7 57 -17 7 58 15 7 59 27 7 60 18 7 61 -6 7 62 -10 7 63 -7 7 64 -4 7 65 18 7 66 -5 7 67 -15 7 68 -8 7 69 1 8 1 1 8 2 4 8 3 5 8 4 -6 8 5 1 8 6 -2 8 7 -14 8 8 -8 8 9 0 8 10 7 8 11 -3 8 12 -5 8 13 -12 8 14 -7 8 15 -13 8 16 11 8 17 -3 8 18 -9 8 19 -7 8 20 3 8 21 -3 8 22 -18 8 23 -6 8 24 -13 8 25 11 8 26 -1 8 27 -6 8 28 -4 8 29 -3 8 30 -13 8 31 0 8 32 -2 8 33 5 8 34 -2 8 35 -9 8 36 -17 8 37 -4 8 38 -6 8 39 1 8 40 8 8 41 -10 8 42 -17 8 43 -9 8 44 -4 8 45 1 8 46 -15 8 47 -3 8 48 -16 8 49 -7 8 50 -5 8 51 1 8 52 0 8 53 4 8 54 18 8 55 -18 8 56 -11 8 57 0 8 58 24 8 59 23 8 60 25 8 61 -11 8 62 -11 8 63 0 8 64 3 8 65 21 8 66 -4 8 67 -11 8 68 1 8 69 6 9 1 30 9 2 22 9 3 19 9 4 23 9 5 11 9 6 -4 9 7 22 9 8 28 9 9 25 9 10 20 9 11 15 9 12 0 9 13 12 9 14 15 9 15 19 9 16 13 9 17 7 9 18 9 9 19 48 9 20 -75 9 21 18 9 22 56 9 23 8 9 24 7 9 25 -7 9 26 -3 9 27 -6 9 28 -12 9 29 -7 9 30 -14 9 31 -9 9 32 14 9 33 0 9 34 -16 9 35 11 9 36 -24 9 37 7 9 38 0 9 39 -1 9 40 -1 9 41 1 9 42 5 9 43 2 9 44 0 9 45 -1 9 46 6 9 47 -4 9 48 -1 9 49 -16 9 50 6 9 51 7 9 52 -4 9 53 6 9 54 12 9 55 2 9 56 2 9 57 7 9 58 11 9 59 -1 9 60 9 9 61 6 9 62 3 9 63 7 9 64 -9 9 65 12 9 66 0 9 67 -8 9 68 -4 9 69 1 10 1 7 10 2 78 10 3 26 10 4 8 10 5 16 10 6 -19 10 7 12 10 8 23 10 9 22 10 10 18 10 11 2 10 12 14 10 13 6 10 14 14 10 15 8 10 16 2 10 17 -2 10 18 -3 10 19 14 10 20 24 10 21 8 10 22 17 10 23 9 10 24 -6 10 25 -7 10 26 3 10 27 0 10 28 -6 10 29 -1 10 30 -9 10 31 -12 10 32 4 10 33 -6 10 34 -9 10 35 -5 10 36 -8 10 37 -11 10 38 -5 10 39 2 10 40 -6 10 41 -4 10 42 -7 10 43 -4 10 44 -3 10 45 -4 10 46 -14 10 47 -5 10 48 -2 10 49 -11 10 50 -4 10 51 -3 10 52 -13 10 53 -11 10 54 14 10 55 -13 10 56 -1 10 57 -5 10 58 12 10 59 22 10 60 17 10 61 -23 10 62 -5 10 63 -5 10 64 -6 10 65 2 10 66 -5 10 67 -11 10 68 -4 10 69 8 11 1 -4 11 2 -4 11 3 1 11 4 11 11 5 4 11 6 0 11 7 -21 11 8 18 11 9 -2 11 10 18 11 11 4 11 12 1 11 13 21 11 14 15 11 15 20 11 16 20 11 17 4 11 18 24 11 19 6 11 20 27 11 21 21 11 22 20 11 23 18 11 24 5 11 25 0 11 26 7 11 27 17 11 28 0 11 29 2 11 30 -3 11 31 7 11 32 8 11 33 9 11 34 -7 11 35 -4 11 36 1 11 37 2 11 38 7 11 39 -8 11 40 -2 11 41 -2 11 42 8 11 43 5 11 44 3 11 45 4 11 46 4 11 47 4 11 48 0 11 49 -3 11 50 0 11 51 -3 11 52 -11 11 53 -13 11 54 6 11 55 -1 11 56 -1 11 57 -2 11 58 11 11 59 26 11 60 4 11 61 0 11 62 -6 11 63 -2 11 64 -3 11 65 9 11 66 -5 11 67 0 11 68 0 11 69 2 12 1 -12 12 2 16 12 3 -27 12 4 -31 12 5 -18 12 6 -7 12 7 -27 12 8 -8 12 9 -20 12 10 -26 12 11 -14 12 12 -4 12 13 -7 12 14 -13 12 15 -8 12 16 -10 12 17 -11 12 18 12 12 19 5 12 20 0 12 21 -17 12 22 22 12 23 3 12 24 3 12 25 -6 12 26 0 12 27 0 12 28 -5 12 29 -7 12 30 -10 12 31 -15 12 32 0 12 33 7 12 34 -14 12 35 -2 12 36 -17 12 37 8 12 38 -3 12 39 0 12 40 0 12 41 -6 12 42 -5 12 43 -12 12 44 5 12 45 7 12 46 6 12 47 0 12 48 -7 12 49 -5 12 50 -2 12 51 -1 12 52 -9 12 53 -8 12 54 7 12 55 -4 12 56 -1 12 57 -1 12 58 0 12 59 16 12 60 2 12 61 0 12 62 -2 12 63 3 12 64 -11 12 65 12 12 66 -3 12 67 -14 12 68 -1 12 69 -4 Adjuster movements: rms = 41.7 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20041115-145109 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1 Reducing ID = 20041111-181011 Data directory /net/moana/export/data/janw/rxh3 contains 138 data files Reading database file: /home/janw/rxh3/Rxh3red/rxh3db.dat Resolved file ID 20041111-181011 = rxh3-20041111-181011.fits Reducing file ID 20041111-181011 Found database entry for 20041111-181011 Setting data.pointing_offset_x = -2.50 Setting data.pointing_offset_y = 14.55 Setting data.secondary_defocus_offset = 2.89 Reducing data file rxh3-20041111-181011.fits at Mon Nov 15 14:56:54 HST 2004 Reduction code ID: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2) Comment: Deleting data and results from internal arrays Created output directory: /home/janw/rxh3/Rxh3red/20041111-181011 Created output directory: /home/janw/rxh3/Rxh3red/20041111-181011/default Deleting all files in /home/janw/rxh3/Rxh3red/20041111-181011/default ... ... 0 files deleted.