Reduction started at: 20071010-134137 Reading data from rxh3-20071010-123715.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 = 1920.4 max = 2428.6 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.500 mm ----------------- Data Summary --------------------- Number of samples: 332725 This is a 80 GHz map Number of frequencies: 16 Frequencies (GHz): 80.344000 80.345000 80.346000 80.348000 80.350000 80.351000 80.352000 80.354000 80.356000 80.357000 80.358000 80.360000 80.362000 80.363000 80.364000 80.366000 item min max mean loreal -3.35205 3.37158 0.01526 loimag -3.57178 3.27637 -0.07394 hireal -5.00000 4.99756 1.03518 hiimag -5.00000 4.99756 -0.35509 xpos -2428.60059 2421.62774 -8.47537 ypos -2402.61928 1920.37046 -237.85150 plock160 1.30371 2.38525 1.88397 lorefpwr 0.42725 1.78467 1.25903 losigpwr -4.57764 0.20752 -4.39615 hirefpwr 0.49561 1.82861 1.31087 hisigpwr -4.47998 4.99756 -0.20004 encltemp 32.15332 34.71680 32.72813 flags 0.00000 256.00000 2.30821 phi-lock -1.17676 -0.06348 -0.64007 sindex 0.00000 114.00000 57.20490 time 0.00000 2644.09163 1324.54877 zeropt 0.00000 0.00488 0.00244 !!!Warning!!! philock max less than 0.2 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 115 rows There are 109 data rows and 6 calibrator rows Calibrator rows: 0 21 42 63 84 105 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 40.00428 arcsec Mean row spacing = 40.00429 arcsec (alternate estimator) Mean tracking incline = -0.02683 arcsec Mean pointing range = 0.54491 arcsec Mean pointing rms = 0.09280 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (0, 0 ) 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 3000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 20431 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 20431 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 = 2428.6 arcsec Grid extent = 2540 arcsec lambda_min = 0.00373034 scale = 0.00129965 Diffraction scale lambda/D = 51.3099 arcsec Gridding function extent = 307.859 arcsec Using Gaussian * Airy regridding function Gaussian FWHM = 153.93 arcsec Airy first null at 62.5811 arcsec Gridding frequency index 0 lambda = 0.00373136 metres, scale = 0.00129929 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 = 3.31307 at (0.0, -40.010952902519172) arcsec Real: mean = 3.01458e-05 sum of squares = 899.891 Imag: mean = -0.00287235 sum of squares = 934.753 Gridding frequency index 1 lambda = 0.00373131 metres, scale = 0.00129931 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 = 3.33608 at (0.0, -40.010454913186891) arcsec Real: mean = 6.54543e-05 sum of squares = 946.631 Imag: mean = -0.00272633 sum of squares = 886.745 Gridding frequency index 2 lambda = 0.00373127 metres, scale = 0.00129933 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 = 3.35235 at (0.0, -40.009956936250724) arcsec Real: mean = 8.60022e-05 sum of squares = 986.962 Imag: mean = -0.0025831 sum of squares = 844.455 Gridding frequency index 3 lambda = 0.00373118 metres, scale = 0.00129936 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 = 3.4092 at (0.0, -40.0089610195649) arcsec Real: mean = 0.000122481 sum of squares = 1022.29 Imag: mean = -0.00242169 sum of squares = 807.404 Gridding frequency index 4 lambda = 0.00373108 metres, scale = 0.00129939 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 = 3.44279 at (0.0, -40.007965152457999) arcsec Real: mean = 0.000312397 sum of squares = 977.085 Imag: mean = -0.00223571 sum of squares = 851.125 Gridding frequency index 5 lambda = 0.00373104 metres, scale = 0.00129941 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 = 3.45419 at (0.0, -40.00746723749549) arcsec Real: mean = 0.00039948 sum of squares = 934.034 Imag: mean = -0.00201789 sum of squares = 894.836 Gridding frequency index 6 lambda = 0.00373099 metres, scale = 0.00129942 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 = 3.47177 at (0.0, -40.006969334926325) arcsec Real: mean = 0.000399973 sum of squares = 887.996 Imag: mean = -0.00172777 sum of squares = 942.139 Gridding frequency index 7 lambda = 0.0037309 metres, scale = 0.00129946 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 = 3.45166 at (0.0, -40.005973566966176) arcsec Real: mean = 7.44695e-05 sum of squares = 820.384 Imag: mean = -0.0012379 sum of squares = 1011.96 Gridding frequency index 8 lambda = 0.0037308 metres, scale = 0.00129949 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 = 3.43001 at (0.0, -40.004977848573851) arcsec Real: mean = -0.000545136 sum of squares = 819.19 Imag: mean = -0.00106774 sum of squares = 1015.78 Gridding frequency index 9 lambda = 0.00373076 metres, scale = 0.0012995 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 = 3.4136 at (0.0, -40.004480007964467) arcsec Real: mean = -0.00085817 sum of squares = 844.629 Imag: mean = -0.00116038 sum of squares = 991.131 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 = 3.38664 at (0.0, -40.003982179745641) arcsec Real: mean = -0.00111184 sum of squares = 882.963 Imag: mean = -0.00133829 sum of squares = 953.394 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 = 3.35635 at (0.0, -40.002986560477851) arcsec Real: mean = -0.00135614 sum of squares = 969.989 Imag: mean = -0.00175502 sum of squares = 870.445 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 = 3.33953 at (40.001990990766792, -40.001990990766792) arcsec Real: mean = -0.00136343 sum of squares = 1019.65 Imag: mean = -0.00218734 sum of squares = 823.391 Gridding frequency index 13 lambda = 0.00373048 metres, scale = 0.0012996 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 = 3.33547 at (40.001493224493863, -40.001493224493863) arcsec Real: mean = -0.00135546 sum of squares = 1018.92 Imag: mean = -0.00238323 sum of squares = 826.085 Gridding frequency index 14 lambda = 0.00373043 metres, scale = 0.00129962 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 = 3.33606 at (40.000995470608736, -40.000995470608736) arcsec Real: mean = -0.00130716 sum of squares = 1000.25 Imag: mean = -0.00257077 sum of squares = 846.419 Gridding frequency index 15 lambda = 0.00373034 metres, scale = 0.00129965 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 = 3.32396 at (40.0, -40.0) arcsec Real: mean = -0.00107359 sum of squares = 921.936 Imag: mean = -0.00294895 sum of squares = 926.922 Masking frequency index 0 Mask scale size = 2.44522 Masking frequency index 1 Mask scale size = 2.44525 Masking frequency index 2 Mask scale size = 2.44529 Masking frequency index 3 Mask scale size = 2.44535 Masking frequency index 4 Mask scale size = 2.44541 Masking frequency index 5 Mask scale size = 2.44544 Masking frequency index 6 Mask scale size = 2.44547 Masking frequency index 7 Mask scale size = 2.44553 Masking frequency index 8 Mask scale size = 2.44559 Masking frequency index 9 Mask scale size = 2.44562 Masking frequency index 10 Mask scale size = 2.44565 Masking frequency index 11 Mask scale size = 2.44571 Masking frequency index 12 Mask scale size = 2.44577 Masking frequency index 13 Mask scale size = 2.4458 Masking frequency index 14 Mask scale size = 2.44583 Masking frequency index 15 Mask scale size = 2.44589 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.224609 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.214844 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.214844 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.222168 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.224609 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.212402 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0170898 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -1.8184 103.95 Freq 1: Shift, scale = -2.0344 103.94 Freq 2: Shift, scale = -2.2526 103.81 Freq 3: Shift, scale = -2.691 103.57 Freq 4: Shift, scale = -3.1337 102.89 Freq 5: Shift, scale = 2.9299 102.44 Freq 6: Shift, scale = 2.7088 102.1 Freq 7: Shift, scale = 2.2654 101.36 Freq 8: Shift, scale = 1.822 101.07 Freq 9: Shift, scale = 1.6 101.05 Freq 10: Shift, scale = 1.3796 101.07 Freq 11: Shift, scale = 0.93698 101.17 Freq 12: Shift, scale = 0.49453 101.14 Freq 13: Shift, scale = 0.27614 101.35 Freq 14: Shift, scale = 0.05956 101.7 Freq 15: Shift, scale = -0.37328 102.16 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: -0.503 radians x offset: 10.5 arcsec y offset: 13.4 arcsec defocus: 0.452 mm Estimated x pointing error is 10.55 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.41 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.952 mm (used 2.5 mm) Fitting frequency 1 Minimiser fit code = 3 piston: -0.502 radians x offset: 10.6 arcsec y offset: 13.4 arcsec defocus: 0.45 mm Estimated x pointing error is 10.61 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.39 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.95 mm (used 2.5 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.504 radians x offset: 10.7 arcsec y offset: 13.4 arcsec defocus: 0.449 mm Estimated x pointing error is 10.66 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.38 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.949 mm (used 2.5 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.508 radians x offset: 10.8 arcsec y offset: 13.4 arcsec defocus: 0.447 mm Estimated x pointing error is 10.77 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.36 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.947 mm (used 2.5 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.516 radians x offset: 10.9 arcsec y offset: 13.3 arcsec defocus: 0.444 mm Estimated x pointing error is 10.86 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.35 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.944 mm (used 2.5 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.52 radians x offset: 10.9 arcsec y offset: 13.3 arcsec defocus: 0.442 mm Estimated x pointing error is 10.91 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.34 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.942 mm (used 2.5 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.469 radians x offset: 9.71 arcsec y offset: 13.2 arcsec defocus: 0.489 mm Estimated x pointing error is 9.712 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.23 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.989 mm (used 2.5 mm) Fitting frequency 7 Minimiser fit code = 1 piston: -0.479 radians x offset: 9.79 arcsec y offset: 13.2 arcsec defocus: 0.484 mm Estimated x pointing error is 9.792 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.23 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.984 mm (used 2.5 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.488 radians x offset: 9.84 arcsec y offset: 13.3 arcsec defocus: 0.479 mm Estimated x pointing error is 9.841 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.25 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.979 mm (used 2.5 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.492 radians x offset: 9.86 arcsec y offset: 13.3 arcsec defocus: 0.477 mm Estimated x pointing error is 9.858 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.26 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.977 mm (used 2.5 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.496 radians x offset: 9.88 arcsec y offset: 13.3 arcsec defocus: 0.475 mm Estimated x pointing error is 9.882 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.27 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.975 mm (used 2.5 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.504 radians x offset: 9.95 arcsec y offset: 13.3 arcsec defocus: 0.472 mm Estimated x pointing error is 9.947 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.31 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.972 mm (used 2.5 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.513 radians x offset: 10.1 arcsec y offset: 13.3 arcsec defocus: 0.468 mm Estimated x pointing error is 10.05 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.33 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.968 mm (used 2.5 mm) Fitting frequency 13 Minimiser fit code = 2 piston: -0.514 radians x offset: 10.1 arcsec y offset: 13.3 arcsec defocus: 0.466 mm Estimated x pointing error is 10.11 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.34 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.966 mm (used 2.5 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.515 radians x offset: 10.2 arcsec y offset: 13.3 arcsec defocus: 0.463 mm Estimated x pointing error is 10.16 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.34 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.963 mm (used 2.5 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.514 radians x offset: 10.3 arcsec y offset: 13.3 arcsec defocus: 0.459 mm Estimated x pointing error is 10.27 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.34 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.959 mm (used 2.5 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 0.00167 piston 1 1 -0.00492 tilt_x 1 -1 -0.02810 tilt_y 2 2 0.03581 astigmatism_0 2 0 0.01229 curvature 2 -2 0.08665 astigmatism45 3 3 0.03061 trefoil_0 3 1 -0.00566 coma_x 3 -1 -0.08031 coma_y 3 -3 0.03453 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 0.00169 piston 1 1 -0.00370 tilt_x 1 -1 -0.02880 tilt_y 2 2 0.03342 astigmatism_0 2 0 0.01225 curvature 2 -2 0.08730 astigmatism45 3 3 0.02840 trefoil_0 3 1 -0.00231 coma_x 3 -1 -0.08168 coma_y 3 -3 0.03461 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 0.00177 piston 1 1 -0.00275 tilt_x 1 -1 -0.02905 tilt_y 2 2 0.03119 astigmatism_0 2 0 0.01234 curvature 2 -2 0.08705 astigmatism45 3 3 0.02581 trefoil_0 3 1 0.00018 coma_x 3 -1 -0.08201 coma_y 3 -3 0.03462 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 0.00191 piston 1 1 0.00045 tilt_x 1 -1 -0.02961 tilt_y 2 2 0.02642 astigmatism_0 2 0 0.01247 curvature 2 -2 0.08716 astigmatism45 3 3 0.02129 trefoil_0 3 1 0.00928 coma_x 3 -1 -0.08289 coma_y 3 -3 0.03409 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 0.00205 piston 1 1 0.00379 tilt_x 1 -1 -0.03037 tilt_y 2 2 0.02088 astigmatism_0 2 0 0.01263 curvature 2 -2 0.08727 astigmatism45 3 3 0.01798 trefoil_0 3 1 0.01881 coma_x 3 -1 -0.08438 coma_y 3 -3 0.03427 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 0.00213 piston 1 1 0.00593 tilt_x 1 -1 -0.03067 tilt_y 2 2 0.01759 astigmatism_0 2 0 0.01275 curvature 2 -2 0.08669 astigmatism45 3 3 0.01678 trefoil_0 3 1 0.02505 coma_x 3 -1 -0.08475 coma_y 3 -3 0.03441 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 0.00065 piston 1 1 -0.03926 tilt_x 1 -1 -0.02208 tilt_y 2 2 0.08573 astigmatism_0 2 0 0.01095 curvature 2 -2 0.08274 astigmatism45 3 3 0.07262 trefoil_0 3 1 -0.10281 coma_x 3 -1 -0.07460 coma_y 3 -3 0.02375 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 0.00086 piston 1 1 -0.03558 tilt_x 1 -1 -0.02300 tilt_y 2 2 0.08093 astigmatism_0 2 0 0.01146 curvature 2 -2 0.08243 astigmatism45 3 3 0.06926 trefoil_0 3 1 -0.09215 coma_x 3 -1 -0.07644 coma_y 3 -3 0.02437 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 0.00111 piston 1 1 -0.03291 tilt_x 1 -1 -0.02361 tilt_y 2 2 0.07742 astigmatism_0 2 0 0.01205 curvature 2 -2 0.08195 astigmatism45 3 3 0.06587 trefoil_0 3 1 -0.08449 coma_x 3 -1 -0.07751 coma_y 3 -3 0.02443 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 0.00123 piston 1 1 -0.03215 tilt_x 1 -1 -0.02357 tilt_y 2 2 0.07620 astigmatism_0 2 0 0.01233 curvature 2 -2 0.08069 astigmatism45 3 3 0.06431 trefoil_0 3 1 -0.08239 coma_x 3 -1 -0.07730 coma_y 3 -3 0.02433 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 0.00130 piston 1 1 -0.03106 tilt_x 1 -1 -0.02347 tilt_y 2 2 0.07491 astigmatism_0 2 0 0.01248 curvature 2 -2 0.08061 astigmatism45 3 3 0.06230 trefoil_0 3 1 -0.07927 coma_x 3 -1 -0.07671 coma_y 3 -3 0.02416 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 0.00149 piston 1 1 -0.02859 tilt_x 1 -1 -0.02315 tilt_y 2 2 0.07129 astigmatism_0 2 0 0.01288 curvature 2 -2 0.07889 astigmatism45 3 3 0.05692 trefoil_0 3 1 -0.07225 coma_x 3 -1 -0.07468 coma_y 3 -3 0.02414 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 0.00161 piston 1 1 -0.02496 tilt_x 1 -1 -0.02303 tilt_y 2 2 0.06600 astigmatism_0 2 0 0.01314 curvature 2 -2 0.07800 astigmatism45 3 3 0.05063 trefoil_0 3 1 -0.06183 coma_x 3 -1 -0.07272 coma_y 3 -3 0.02465 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 0.00165 piston 1 1 -0.02277 tilt_x 1 -1 -0.02303 tilt_y 2 2 0.06357 astigmatism_0 2 0 0.01316 curvature 2 -2 0.07815 astigmatism45 3 3 0.04726 trefoil_0 3 1 -0.05553 coma_x 3 -1 -0.07187 coma_y 3 -3 0.02555 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 0.00166 piston 1 1 -0.02078 tilt_x 1 -1 -0.02308 tilt_y 2 2 0.06101 astigmatism_0 2 0 0.01313 curvature 2 -2 0.07785 astigmatism45 3 3 0.04451 trefoil_0 3 1 -0.04975 coma_x 3 -1 -0.07121 coma_y 3 -3 0.02618 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 0.00167 piston 1 1 -0.01650 tilt_x 1 -1 -0.02372 tilt_y 2 2 0.05518 astigmatism_0 2 0 0.01296 curvature 2 -2 0.07814 astigmatism45 3 3 0.03966 trefoil_0 3 1 -0.03750 coma_x 3 -1 -0.07137 coma_y 3 -3 0.02752 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: 30.9 33.4 39.3 42.8 42.7 48.2 57.5 50.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.1 31.3 35.6 42.7 40.1 45.6 55.3 48.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.62 8.69 11.1 12 12.1 14.5 22.2 15.4 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.5 33.7 38.9 44.1 42.7 48.2 57.3 50.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.9 31.5 35.1 44.1 40.3 45.6 55 48.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.69 8.82 11.3 12.1 12.1 14.4 22.1 15.4 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.1 34 38.4 44.9 42.7 47.9 57.1 50.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.5 31.7 34.6 44.9 40.5 45.5 54.8 48.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.71 8.84 11.3 12.1 12.1 14.2 21.9 15.2 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.1 34.3 37.5 46 43 47.4 56.6 50.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.8 31.8 33.8 46.1 41.3 45.2 54.2 48.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.78 8.98 11.4 12.2 12 13.9 21.6 15.1 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.2 34.9 37.1 46.8 43.2 46.7 56.2 50.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34 32.3 33.6 47.3 41.8 44.8 53.6 48.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.96 9.3 11.8 12.5 12 13.7 21.5 15.1 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.7 35.3 37 48.4 43.3 46.5 55.7 50.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.6 32.7 33.6 49.1 42.2 44.8 53.1 48.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.07 9.49 12 12.6 12 13.5 21.5 15.1 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.1 35.7 37.3 49.3 41.5 47.5 57.7 51.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.8 36.5 37.4 49.8 39.9 45.1 54.4 49.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 7.3 13.6 17 17.7 16.8 19.4 31.3 21.6 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.1 36.1 37.6 48.1 41.4 47.1 57.6 51.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.7 36.3 36.9 48.3 39.7 44.6 54.3 49.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.88 12.8 16.1 16.8 16.1 18.8 30 20.7 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 35.9 37.6 47.5 41.2 46.6 57.8 51.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.3 35.8 36.4 47.8 39.4 44 54.4 49 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.59 12.3 15.4 16.2 15.6 18.3 29 20 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.5 35.7 37.5 47.5 41.2 46.8 57.8 51.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 35.5 36 47.8 39.3 44.2 54.5 49.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.49 12.1 15.2 15.9 15.3 17.9 28.5 19.7 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.3 35.2 37.4 47.6 41.1 47 57.8 51.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 34.9 35.7 48 39.1 44.3 54.7 49.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.34 11.8 14.9 15.6 15.1 17.7 28.1 19.4 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 34.4 36.9 48.6 41 47.1 57.3 51.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 34 34.7 49.1 38.7 44.5 54.6 49.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.97 11.2 14 14.8 14.4 17 26.7 18.5 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.9 33.8 37.2 46.3 41.2 47.6 56.4 50.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.8 33.2 34.5 46 38.4 45 54.2 48.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.49 10.3 13 13.8 13.6 16.1 25.1 17.4 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.5 33.5 37.4 43.9 41.5 47.8 56 50.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.4 32.8 34.6 43.5 38.5 45.2 54 48.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.22 9.78 12.4 13.2 13.2 15.8 24.4 16.9 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.1 33.2 37.7 42.8 41.7 48 55.6 50.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.9 32.3 34.8 42.4 38.7 45.4 53.8 48.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.99 9.37 11.9 12.8 12.8 15.4 23.7 16.4 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.5 33 38.7 42.4 42.3 48 55.3 50.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.3 31.7 35.8 41.9 39.3 45.5 53.7 48.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.63 8.71 11.1 12 12.3 14.8 22.6 15.6 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 29.3 33.2 35.7 34.6 40.4 46 55 47.9 Mean deviation is 3.2245779850290073 microns Taper = 10 dB, Ruze illumination-weighted rms = 47.2 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 = 42.6 micron Centre pixel: 64.0 64.0 Value = 1887.97 (estimate), 3708.08 (perfect) Strehl = 0.259234 Strehl ratio estimate = 0.2592 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 = 40.2 micron Centre pixel: 64.0 64.0 Value = 1174.73 (estimate), 3708.08 (perfect) Strehl = 0.100365 Strehl ratio estimate = 0.1004 Fitting panels... No Zernike terms to subtract before panel fitting edge scale = 0.15028 metres panel scale = 3.00000 metres mean frequency = 80.35475 GHz min edge weight = 0.1 # rng pan adj1 adj2 adj3 qsum 1 1 1 94.2 44.4 36.5 110.4 2 1 2 128.0 19.2 57.4 141.6 3 1 3 147.5 16.5 37.0 153.0 4 1 4 140.7 57.7 55.1 161.7 5 1 5 114.7 32.9 73.8 140.3 6 1 6 121.0 64.8 45.2 144.5 7 1 7 83.2 48.2 53.5 110.0 8 1 8 95.2 57.1 77.7 135.5 9 1 9 43.2 48.6 47.4 80.5 10 1 10 114.8 46.5 69.4 142.0 11 1 11 128.2 80.7 47.8 158.9 12 1 12 123.9 45.9 46.8 140.1 13 2 1 33.6 -45.2 -33.8 65.7 14 2 2 38.9 -36.8 -33.6 63.2 15 2 3 66.9 -29.8 -56.6 92.5 16 2 4 81.4 -44.9 -5.0 93.1 17 2 5 67.4 18.5 -14.4 71.4 18 2 6 -14.1 -128.4 -89.3 157.0 19 2 7 52.4 -6.9 17.0 55.5 20 2 8 102.6 -6.2 0.3 102.8 21 2 9 78.1 -1.3 1.6 78.1 22 2 10 29.9 1.2 32.7 44.4 23 2 11 37.1 1.9 16.3 40.6 24 2 12 40.4 4.4 0.9 40.6 25 2 13 45.4 33.1 30.1 63.8 26 2 14 31.9 15.4 46.3 58.3 27 2 15 51.1 34.3 -5.7 61.8 28 2 16 26.1 29.9 4.6 39.9 29 2 17 55.5 -1.9 18.3 58.5 30 2 18 75.9 27.0 17.9 82.5 31 2 19 40.3 25.5 -2.5 47.7 32 2 20 81.2 -24.3 -16.0 86.2 33 2 21 73.0 2.1 -22.0 76.2 34 2 22 65.2 -47.2 -69.0 106.0 35 2 23 91.9 -69.1 -60.9 130.1 36 2 24 44.4 -51.4 -57.8 89.1 37 3 1 -25.0 -39.4 -36.8 59.5 38 3 2 -37.6 -42.2 -46.4 73.2 39 3 3 -87.7 -118.9 -160.7 218.2 40 3 4 12.7 -13.4 -58.5 61.4 41 3 5 2.9 -7.7 -36.5 37.4 42 3 6 -30.2 7.2 -14.7 34.4 43 3 7 -11.4 0.7 -28.5 30.7 44 3 8 1.0 -0.3 -20.0 20.0 45 3 9 10.9 -7.8 -28.2 31.2 46 3 10 -4.1 -22.2 2.6 22.7 47 3 11 -7.7 -31.7 -43.2 54.2 48 3 12 -15.2 38.7 -36.4 55.3 49 3 13 -23.8 7.5 -16.7 30.0 50 3 14 17.5 1.3 -29.0 33.9 51 3 15 3.6 12.4 -23.8 27.0 52 3 16 8.6 -13.3 -18.4 24.3 53 3 17 20.6 -13.4 -2.8 24.8 54 3 18 24.6 20.9 4.4 32.6 55 3 19 40.2 20.1 -31.7 55.0 56 3 20 -5.4 12.7 -4.2 14.4 57 3 21 -0.4 -3.0 -5.0 5.8 58 3 22 29.7 13.4 -7.4 33.4 59 3 23 29.7 14.8 -19.5 38.5 60 3 24 18.5 8.8 -28.5 35.1 61 3 25 1.0 7.1 -30.0 30.9 62 3 26 28.9 -1.5 -29.2 41.2 63 3 27 17.8 -0.8 -47.7 50.9 64 3 28 38.8 -0.4 -42.6 57.6 65 3 29 46.7 4.0 -0.4 46.9 66 3 30 43.1 25.6 -6.5 50.5 67 3 31 6.5 39.4 29.0 49.4 68 3 32 -10.3 -3.6 39.3 40.8 69 3 33 20.4 5.2 32.5 38.7 70 3 34 42.2 29.2 35.8 62.6 71 3 35 50.1 19.2 8.0 54.3 72 3 36 25.8 27.5 27.7 46.8 73 3 37 -24.3 20.6 -52.8 61.6 74 3 38 3.6 2.6 -52.7 52.8 75 3 39 -2.3 -4.1 -48.2 48.4 76 3 40 1.2 -11.5 -59.7 60.9 77 3 41 -3.6 -8.9 -67.9 68.6 78 3 42 -11.5 -22.6 -40.1 47.4 79 3 43 -47.8 -19.6 -42.3 66.7 80 3 44 -112.7 -124.5 -94.2 192.5 81 3 45 7.2 -54.1 -62.7 83.1 82 3 46 -18.0 -43.3 -70.8 84.9 83 3 47 -64.7 -45.4 -76.7 110.1 84 3 48 -38.2 -55.6 -86.3 109.6 85 4 1 -43.0 -39.9 -20.0 62.0 86 4 2 -27.8 -40.8 -54.3 73.3 87 4 3 -37.5 -36.6 -44.5 68.8 88 4 4 -24.1 -19.3 -69.8 76.4 89 4 5 -31.4 -21.1 -45.3 59.0 90 4 6 -13.3 -34.5 -65.1 74.8 91 4 7 16.3 -34.2 -41.7 56.3 92 4 8 -31.6 -9.1 -48.5 58.5 93 4 9 2.7 -12.8 -1.8 13.2 94 4 10 -8.2 0.1 -31.3 32.4 95 4 11 -31.3 -29.8 -47.7 64.4 96 4 12 -23.2 23.6 -26.8 42.6 97 4 13 1.3 -23.8 61.1 65.6 98 4 14 31.8 -13.9 -20.0 40.0 99 4 15 -22.1 -20.1 -4.3 30.2 100 4 16 -37.7 11.3 -3.9 39.6 101 4 17 -12.7 7.3 -23.6 27.8 102 4 18 9.6 2.4 21.2 23.4 103 4 19 -1.2 -1.1 -13.9 14.0 104 4 20 11.8 0.7 -26.9 29.4 105 4 21 -23.0 -14.7 -15.2 31.2 106 4 22 -52.5 -30.5 89.9 108.5 107 4 23 -68.5 -24.0 -53.6 90.2 108 4 24 -189.1 -113.7 -107.4 245.4 109 4 25 -88.8 -61.7 15.1 109.1 110 4 26 -46.8 -61.5 -78.5 110.1 111 4 27 -43.8 -44.8 -28.6 68.8 112 4 28 -44.6 -49.2 -48.8 82.4 113 4 29 -44.3 -34.1 -103.2 117.4 114 4 30 -37.2 -37.7 -33.2 62.5 115 4 31 -12.9 -25.4 -67.4 73.2 116 4 32 13.1 19.4 -45.3 51.0 117 4 33 14.4 36.1 8.3 39.7 118 4 34 34.1 17.4 29.5 48.3 119 4 35 28.8 26.5 10.1 40.4 120 4 36 5.6 38.4 -16.4 42.1 121 4 37 -42.9 42.1 -38.7 71.5 122 4 38 -133.0 -105.6 -177.3 245.5 123 4 39 -32.7 -25.9 -53.9 68.2 124 4 40 -24.7 -24.6 -61.2 70.4 125 4 41 -46.4 2.9 -33.0 57.0 126 4 42 -7.4 -14.6 -51.7 54.2 127 4 43 -27.7 -25.6 -132.7 137.9 128 4 44 -81.5 -39.7 -53.2 105.1 129 4 45 -65.9 -35.1 1.1 74.7 130 4 46 -55.3 -36.3 -16.3 68.1 131 4 47 -42.2 -32.5 -7.7 53.8 132 4 48 -24.3 -39.8 -29.7 55.3 133 5 1 17.1 11.7 -3.6 21.0 134 5 2 -18.6 -5.1 -11.3 22.4 135 5 3 -6.6 3.5 -4.0 8.4 136 5 4 -17.2 -20.9 20.8 34.1 137 5 5 -109.0 -95.2 -147.6 206.7 138 5 6 -40.1 -20.1 -40.9 60.7 139 5 7 -34.0 6.0 -19.1 39.5 140 5 8 -33.4 1.8 -76.2 83.2 141 5 9 6.4 -27.2 4.7 28.4 142 5 10 -2.1 26.0 -13.1 29.2 143 5 11 -12.5 11.4 22.7 28.3 144 5 12 2.6 35.8 31.8 48.0 145 5 13 32.7 30.4 42.6 61.7 146 5 14 -6.8 28.4 30.0 41.8 147 5 15 13.1 28.6 8.5 32.6 148 5 16 6.4 37.6 30.7 48.9 149 5 17 -2.4 33.7 77.0 84.0 150 5 18 11.8 14.1 146.6 147.8 151 5 19 0.2 12.9 -20.2 24.0 152 5 20 -20.8 -17.2 -24.0 36.1 153 5 21 18.7 -10.4 -45.3 50.1 154 5 22 -8.3 4.2 -44.3 45.2 155 5 23 -35.9 -13.5 17.4 42.1 156 5 24 -4.9 -13.6 21.4 25.8 157 5 25 -18.6 -19.7 -32.0 41.9 158 5 26 -62.9 -44.9 -22.7 80.6 159 5 27 -54.3 -36.9 -125.8 142.0 160 5 28 -43.5 -52.2 -56.5 88.4 161 5 29 -29.8 -50.4 -76.0 95.9 162 5 30 -37.7 -30.9 -28.1 56.3 163 5 31 -57.3 -32.3 -35.3 74.6 164 5 32 -149.6 -97.1 -107.6 208.3 165 5 33 5.1 29.7 9.5 31.6 166 5 34 8.5 69.6 -37.6 79.6 167 5 35 -65.2 -30.2 -10.9 72.6 168 5 36 2.3 49.6 36.3 61.5 169 5 37 5.0 74.2 -38.2 83.6 170 5 38 -54.0 29.7 -13.9 63.2 171 5 39 -22.3 21.5 -5.5 31.5 172 5 40 -40.9 -1.2 -20.1 45.7 173 5 41 10.5 28.4 -34.6 45.9 174 5 42 -110.3 -9.1 -28.6 114.3 175 5 43 -28.5 -3.4 46.9 55.0 176 5 44 2.9 39.3 6.7 40.0 177 5 45 1.8 31.4 35.0 47.1 178 5 46 -8.1 20.8 57.1 61.3 179 5 47 -35.9 16.0 57.9 70.0 180 5 48 -8.8 23.9 23.7 34.8 181 6 1 -34.4 10.8 23.8 43.2 182 6 2 -19.6 -6.9 -4.2 21.2 183 6 3 -68.8 -14.0 -32.9 77.5 184 6 4 -66.5 -21.5 -72.4 100.6 185 6 5 -27.3 -38.2 -65.6 80.7 186 6 6 -8.0 -15.2 -79.8 81.6 187 6 7 -13.3 -28.9 -48.1 57.7 188 6 8 -24.9 -3.2 -13.3 28.4 189 6 9 -32.1 -3.5 -3.5 32.5 190 6 10 -64.7 51.1 -36.4 90.1 191 6 11 23.2 40.6 27.3 54.2 192 6 12 34.1 21.5 3.7 40.5 193 6 13 38.8 36.5 -3.8 53.4 194 6 14 22.0 47.0 -8.7 52.6 195 6 15 22.9 41.3 -6.4 47.7 196 6 16 4.7 55.9 -14.3 57.8 197 6 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20.9 15.0 -33.4 42.1 231 7 3 -3.6 19.8 -17.7 26.8 232 7 4 23.2 -54.4 11.9 60.4 233 7 5 2.6 3.3 -48.1 48.3 234 7 6 -52.8 -2.2 -49.1 72.2 235 7 7 -24.0 -18.2 -43.0 52.5 236 7 8 25.4 -0.3 -41.7 48.8 237 7 9 18.8 3.1 -4.0 19.5 238 7 10 16.8 24.9 2.5 30.1 239 7 11 60.7 46.5 16.7 78.3 240 7 12 23.7 59.5 61.5 88.8 241 7 13 2.1 58.9 52.1 78.7 242 7 14 42.6 60.1 35.6 81.8 243 7 15 29.7 19.4 15.0 38.5 244 7 16 -54.4 -81.4 -104.6 143.2 245 7 17 64.4 9.9 18.0 67.6 246 7 18 20.7 63.4 20.6 69.8 247 7 19 -7.2 13.7 65.3 67.2 248 7 20 26.2 11.0 30.7 41.8 249 7 21 37.0 -5.3 11.4 39.1 250 7 22 43.1 6.2 -1.8 43.6 251 7 23 121.0 3.3 9.1 121.4 252 7 24 69.7 31.5 60.4 97.4 253 7 25 32.2 -42.5 -68.1 86.5 254 7 26 41.1 18.5 15.7 47.7 255 7 27 14.2 -10.0 -14.2 22.5 256 7 28 -3.2 33.2 174.6 177.7 257 7 29 108.1 -40.8 30.9 119.6 258 7 30 -32.1 -3.8 90.0 95.6 259 7 31 -23.3 -15.6 4.3 28.4 260 7 32 20.0 -42.3 -20.9 51.2 261 7 33 28.0 16.1 34.3 47.1 262 7 34 80.2 28.1 105.5 135.4 263 7 35 122.6 46.4 54.7 142.1 264 7 36 84.3 56.3 51.5 113.7 265 7 37 13.8 53.8 -23.4 60.3 266 7 38 -37.0 47.6 -73.5 95.1 267 7 39 -8.3 44.5 -114.0 122.7 268 7 40 -12.9 99.8 25.6 103.8 269 7 41 85.4 75.6 -12.9 114.8 270 7 42 80.3 67.1 43.9 113.4 271 7 43 22.4 109.1 105.3 153.3 272 7 44 117.0 117.9 87.0 187.5 273 7 45 32.6 98.5 140.8 174.9 274 7 46 108.7 98.5 117.1 187.7 275 7 47 9.8 106.4 -82.2 134.8 276 7 48 70.5 202.5 64.6 224.0 Creating sector-motor-move file sector motor steps 1 1 3 1 2 -16 1 3 7 1 4 -22 1 5 -6 1 6 -20 1 7 -5 1 8 6 1 9 -1 1 10 -10 1 11 -4 1 12 -21 1 13 -10 1 14 4 1 15 6 1 16 -1 1 17 -2 1 18 -6 1 19 -5 1 20 24 1 21 6 1 22 7 1 23 3 1 24 -10 1 25 6 1 26 -6 1 27 -5 1 28 -21 1 29 -5 1 30 -7 1 31 -1 1 32 1 1 33 -2 1 34 -13 1 35 -11 1 36 -11 1 37 -3 1 38 -1 1 39 -5 1 40 -16 1 41 -12 1 42 -8 1 43 -1 1 44 3 1 45 5 1 46 -6 1 47 -12 1 48 -13 1 49 -49 1 50 -36 1 51 -26 1 52 -10 1 53 -11 1 54 11 1 55 -14 1 56 -12 1 57 -11 1 58 13 1 59 28 1 60 11 1 61 -11 1 62 -12 1 63 -7 1 64 -9 1 65 10 1 66 -10 1 67 -17 1 68 -4 1 69 3 2 1 -12 2 2 0 2 3 7 2 4 -4 2 5 0 2 6 -7 2 7 -13 2 8 -5 2 9 -7 2 10 -14 2 11 -8 2 12 -4 2 13 -15 2 14 0 2 15 -16 2 16 -24 2 17 -4 2 18 -2 2 19 -14 2 20 1 2 21 0 2 22 -20 2 23 -11 2 24 -8 2 25 -23 2 26 0 2 27 -10 2 28 -14 2 29 -2 2 30 -9 2 31 -5 2 32 1 2 33 -10 2 34 -12 2 35 -10 2 36 5 2 37 -12 2 38 -6 2 39 -12 2 40 -19 2 41 -10 2 42 -4 2 43 -45 2 44 -29 2 45 -33 2 46 -13 2 47 -6 2 48 -9 2 49 -8 2 50 0 2 51 -3 2 52 -1 2 53 -13 2 54 24 2 55 -4 2 56 2 2 57 -9 2 58 5 2 59 39 2 60 17 2 61 -11 2 62 -2 2 63 0 2 64 5 2 65 20 2 66 -17 2 67 -6 2 68 0 2 69 0 3 1 18 3 2 18 3 3 7 3 4 1 3 5 6 3 6 10 3 7 5 3 8 14 3 9 18 3 10 8 3 11 12 3 12 7 3 13 0 3 14 7 3 15 5 3 16 -11 3 17 15 3 18 -19 3 19 -1 3 20 0 3 21 5 3 22 -1 3 23 -1 3 24 -9 3 25 9 3 26 10 3 27 0 3 28 -8 3 29 7 3 30 -7 3 31 6 3 32 3 3 33 -3 3 34 -14 3 35 -9 3 36 -9 3 37 -4 3 38 7 3 39 0 3 40 -9 3 41 0 3 42 -2 3 43 1 3 44 -8 3 45 1 3 46 0 3 47 -3 3 48 0 3 49 -13 3 50 -9 3 51 -2 3 52 -27 3 53 -39 3 54 -4 3 55 0 3 56 -6 3 57 -1 3 58 5 3 59 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9 35 8 9 36 8 9 37 -11 9 38 21 9 39 2 9 40 9 9 41 5 9 42 10 9 43 2 9 44 9 9 45 1 9 46 2 9 47 11 9 48 4 9 49 2 9 50 5 9 51 15 9 52 5 9 53 8 9 54 23 9 55 10 9 56 8 9 57 12 9 58 14 9 59 13 9 60 14 9 61 9 9 62 1 9 63 6 9 64 7 9 65 17 9 66 5 9 67 8 9 68 8 9 69 7 10 1 7 10 2 30 10 3 -3 10 4 -26 10 5 3 10 6 -7 10 7 -34 10 8 13 10 9 -2 10 10 -8 10 11 11 10 12 -7 10 13 -22 10 14 14 10 15 -11 10 16 -18 10 17 2 10 18 -3 10 19 -7 10 20 16 10 21 4 10 22 3 10 23 12 10 24 4 10 25 -6 10 26 0 10 27 -12 10 28 -18 10 29 -7 10 30 -7 10 31 -1 10 32 6 10 33 -6 10 34 -16 10 35 -7 10 36 -10 10 37 -4 10 38 9 10 39 -16 10 40 -54 10 41 -32 10 42 -40 10 43 -11 10 44 22 10 45 1 10 46 -11 10 47 12 10 48 -13 10 49 -14 10 50 -1 10 51 0 10 52 -4 10 53 -7 10 54 24 10 55 -16 10 56 0 10 57 1 10 58 14 10 59 35 10 60 21 10 61 -16 10 62 6 10 63 -7 10 64 0 10 65 12 10 66 0 10 67 -18 10 68 -3 10 69 0 11 1 26 11 2 36 11 3 35 11 4 17 11 5 15 11 6 25 11 7 32 11 8 33 11 9 6 11 10 37 11 11 16 11 12 13 11 13 13 11 14 20 11 15 24 11 16 4 11 17 15 11 18 26 11 19 -3 11 20 23 11 21 26 11 22 23 11 23 7 11 24 0 11 25 2 11 26 12 11 27 0 11 28 -16 11 29 -12 11 30 -25 11 31 14 11 32 -1 11 33 -8 11 34 -40 11 35 -7 11 36 -8 11 37 -8 11 38 -2 11 39 -33 11 40 -15 11 41 -4 11 42 -2 11 43 -10 11 44 8 11 45 3 11 46 -10 11 47 0 11 48 -14 11 49 -12 11 50 -6 11 51 -14 11 52 -21 11 53 -14 11 54 19 11 55 -12 11 56 -6 11 57 -3 11 58 24 11 59 39 11 60 14 11 61 -20 11 62 -2 11 63 -1 11 64 -21 11 65 22 11 66 -6 11 67 -28 11 68 -38 11 69 -34 12 1 19 12 2 62 12 3 21 12 4 21 12 5 3 12 6 -1 12 7 -25 12 8 32 12 9 3 12 10 27 12 11 13 12 12 2 12 13 35 12 14 30 12 15 33 12 16 15 12 17 22 12 18 -8 12 19 43 12 20 30 12 21 10 12 22 5 12 23 25 12 24 12 12 25 7 12 26 7 12 27 -2 12 28 -9 12 29 -12 12 30 -7 12 31 17 12 32 4 12 33 -11 12 34 -2 12 35 -9 12 36 -12 12 37 17 12 38 6 12 39 -2 12 40 -4 12 41 -11 12 42 -16 12 43 10 12 44 9 12 45 0 12 46 0 12 47 -10 12 48 -20 12 49 -23 12 50 -13 12 51 -19 12 52 -17 12 53 -15 12 54 13 12 55 -21 12 56 -13 12 57 -5 12 58 14 12 59 37 12 60 14 12 61 -19 12 62 -16 12 63 2 12 64 -13 12 65 28 12 66 -18 12 67 -26 12 68 -17 12 69 -11 Adjuster movements: rms = 49.2 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20071010-134407 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1