Reduction started at: 20071003-111301 Reading data from rxh3-20071003-102029.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 = 2403.2 max = 2426.4 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.500 mm ----------------- Data Summary --------------------- Number of samples: 370025 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 -3.10547 3.17383 0.02580 loimag -3.30811 3.07861 -0.05181 hireal -5.00000 4.99756 0.88739 hiimag -5.00000 4.99756 -0.05094 xpos -2426.41701 2418.94046 -7.77576 ypos -2403.21982 2403.18636 0.00026 plock160 1.42578 2.50977 2.01677 lorefpwr 0.47119 1.61621 1.23516 losigpwr -4.58740 -0.18311 -4.41904 hirefpwr 0.54199 1.66748 1.28917 hisigpwr -4.48975 4.99756 -0.61713 encltemp 32.15332 34.79004 32.70656 flags 0.00000 256.00000 2.76738 phi-lock -1.18652 -0.08789 -0.66205 sindex 0.00000 128.00000 63.61104 time 0.00000 2948.00345 1473.10580 zeropt 0.00000 0.00488 0.00247 !!!Warning!!! philock max less than 0.2 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 129 rows There are 121 data rows and 8 calibrator rows Calibrator rows: 0 21 42 63 84 105 126 128 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 40.00648 arcsec Mean row spacing = 40.00649 arcsec (alternate estimator) Mean tracking incline = -0.06866 arcsec Mean pointing range = 0.58105 arcsec Mean pointing rms = 0.10365 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 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 = 2426.42 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 = 3.03138 at (0.0, -40.010952902519172) arcsec Real: mean = -0.00209377 sum of squares = 822.982 Imag: mean = -0.0031197 sum of squares = 1016.54 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 = 3.04039 at (0.0, -40.010454913186891) arcsec Real: mean = -0.00184947 sum of squares = 827.829 Imag: mean = -0.00327577 sum of squares = 1011.4 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 = 3.05938 at (0.0, -40.009956936250724) arcsec Real: mean = -0.0015664 sum of squares = 850.63 Imag: mean = -0.0033996 sum of squares = 987.985 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 = 3.07626 at (0.0, -40.0089610195649) arcsec Real: mean = -0.00091524 sum of squares = 930.813 Imag: mean = -0.00337449 sum of squares = 907.78 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 = 3.12326 at (0.0, -40.007965152457999) arcsec Real: mean = -0.000419052 sum of squares = 1001.79 Imag: mean = -0.00301812 sum of squares = 837.038 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 = 3.13793 at (0.0, -40.00746723749549) arcsec Real: mean = -0.000257604 sum of squares = 1015.33 Imag: mean = -0.00279567 sum of squares = 823.404 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 = 3.14684 at (0.0, -40.006969334926325) arcsec Real: mean = -0.000153829 sum of squares = 1009.89 Imag: mean = -0.00251419 sum of squares = 829.652 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 = 3.18421 at (0.0, -40.005973566966176) arcsec Real: mean = -0.000165603 sum of squares = 951.415 Imag: mean = -0.00193803 sum of squares = 889.164 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 = 3.18133 at (0.0, -40.004977848573851) arcsec Real: mean = -0.000383416 sum of squares = 874.931 Imag: mean = -0.00151171 sum of squares = 968.314 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 = 3.17939 at (0.0, -40.004480007964467) arcsec Real: mean = -0.000549467 sum of squares = 846.12 Imag: mean = -0.00140455 sum of squares = 998.54 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 = 3.17988 at (0.0, -40.003982179745641) arcsec Real: mean = -0.000720603 sum of squares = 830.999 Imag: mean = -0.00128738 sum of squares = 1015.18 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 = 3.15326 at (0.0, -40.002986560477851) arcsec Real: mean = -0.00109981 sum of squares = 847.093 Imag: mean = -0.00114601 sum of squares = 1000.13 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 = 3.1361 at (0.0, -40.001990990766792) arcsec Real: mean = -0.00154174 sum of squares = 915.606 Imag: mean = -0.00106793 sum of squares = 934.174 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 = 3.1245 at (0.0, -40.001493224493863) arcsec Real: mean = -0.00178485 sum of squares = 954.907 Imag: mean = -0.00115117 sum of squares = 895.365 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 = 3.10817 at (0.0, -40.000995470608736) arcsec Real: mean = -0.00200246 sum of squares = 989.27 Imag: mean = -0.00128452 sum of squares = 861.997 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 = 3.102 at (0.0, -40.0) arcsec Real: mean = -0.00244686 sum of squares = 1019.14 Imag: mean = -0.00171409 sum of squares = 833.676 Masking frequency index 0 Mask scale size = 3.06 Masking frequency index 1 Mask scale size = 3.06004 Masking frequency index 2 Mask scale size = 3.06007 Masking frequency index 3 Mask scale size = 3.06015 Masking frequency index 4 Mask scale size = 3.06023 Masking frequency index 5 Mask scale size = 3.06026 Masking frequency index 6 Mask scale size = 3.0603 Masking frequency index 7 Mask scale size = 3.06038 Masking frequency index 8 Mask scale size = 3.06046 Masking frequency index 9 Mask scale size = 3.06049 Masking frequency index 10 Mask scale size = 3.06053 Masking frequency index 11 Mask scale size = 3.06061 Masking frequency index 12 Mask scale size = 3.06068 Masking frequency index 13 Mask scale size = 3.06072 Masking frequency index 14 Mask scale size = 3.06076 Masking frequency index 15 Mask scale size = 3.06084 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.175781 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.214844 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.195312 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.244141 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.224609 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.214844 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0170898 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -1.0544 99.447 Freq 1: Shift, scale = -1.2767 99.448 Freq 2: Shift, scale = -1.4986 99.544 Freq 3: Shift, scale = -1.9433 100.12 Freq 4: Shift, scale = -2.3838 101.09 Freq 5: Shift, scale = -2.6053 101.61 Freq 6: Shift, scale = -2.8242 102.16 Freq 7: Shift, scale = 3.0249 103.18 Freq 8: Shift, scale = 2.5954 104.29 Freq 9: Shift, scale = 2.3797 104.92 Freq 10: Shift, scale = 2.1649 105.31 Freq 11: Shift, scale = 1.7309 105.56 Freq 12: Shift, scale = 1.2954 105 Freq 13: Shift, scale = 1.0774 104.45 Freq 14: Shift, scale = 0.8582 103.55 Freq 15: Shift, scale = 0.42309 101.75 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: -0.369 radians x offset: 9.37 arcsec y offset: 14.5 arcsec defocus: 0.421 mm Estimated x pointing error is 9.372 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.53 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.921 mm (used 2.5 mm) Fitting frequency 1 Minimiser fit code = 2 piston: -0.374 radians x offset: 9.41 arcsec y offset: 14.5 arcsec defocus: 0.42 mm Estimated x pointing error is 9.414 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.52 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.92 mm (used 2.5 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.378 radians x offset: 9.45 arcsec y offset: 14.5 arcsec defocus: 0.418 mm Estimated x pointing error is 9.452 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.51 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.918 mm (used 2.5 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.389 radians x offset: 9.53 arcsec y offset: 14.5 arcsec defocus: 0.416 mm Estimated x pointing error is 9.529 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.49 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.916 mm (used 2.5 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.394 radians x offset: 9.61 arcsec y offset: 14.5 arcsec defocus: 0.414 mm Estimated x pointing error is 9.612 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.47 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.914 mm (used 2.5 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.397 radians x offset: 9.66 arcsec y offset: 14.5 arcsec defocus: 0.415 mm Estimated x pointing error is 9.656 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.46 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.915 mm (used 2.5 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.398 radians x offset: 9.69 arcsec y offset: 14.4 arcsec defocus: 0.413 mm Estimated x pointing error is 9.686 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.44 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.913 mm (used 2.5 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.398 radians x offset: 9.77 arcsec y offset: 14.4 arcsec defocus: 0.411 mm Estimated x pointing error is 9.77 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.43 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.911 mm (used 2.5 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.353 radians x offset: 8.92 arcsec y offset: 14.3 arcsec defocus: 0.443 mm Estimated x pointing error is 8.92 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.34 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.943 mm (used 2.5 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.352 radians x offset: 8.96 arcsec y offset: 14.3 arcsec defocus: 0.441 mm Estimated x pointing error is 8.962 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.35 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.941 mm (used 2.5 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.35 radians x offset: 8.99 arcsec y offset: 14.4 arcsec defocus: 0.439 mm Estimated x pointing error is 8.986 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.35 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.939 mm (used 2.5 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.348 radians x offset: 9.03 arcsec y offset: 14.4 arcsec defocus: 0.436 mm Estimated x pointing error is 9.032 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.37 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.936 mm (used 2.5 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.349 radians x offset: 9.08 arcsec y offset: 14.4 arcsec defocus: 0.432 mm Estimated x pointing error is 9.079 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.39 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.932 mm (used 2.5 mm) Fitting frequency 13 Minimiser fit code = 3 piston: -0.349 radians x offset: 9.11 arcsec y offset: 14.4 arcsec defocus: 0.43 mm Estimated x pointing error is 9.108 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.41 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.93 mm (used 2.5 mm) Fitting frequency 14 Minimiser fit code = 3 piston: -0.351 radians x offset: 9.14 arcsec y offset: 14.4 arcsec defocus: 0.428 mm Estimated x pointing error is 9.138 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.41 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.928 mm (used 2.5 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.351 radians x offset: 9.2 arcsec y offset: 14.4 arcsec defocus: 0.424 mm Estimated x pointing error is 9.201 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.43 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.924 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 -0.00051 piston 1 1 -0.01655 tilt_x 1 -1 -0.00642 tilt_y 2 2 0.08165 astigmatism_0 2 0 0.00427 curvature 2 -2 0.04347 astigmatism45 3 3 0.02886 trefoil_0 3 1 -0.04210 coma_x 3 -1 -0.03079 coma_y 3 -3 -0.01530 trefoil_30 Fitting many Zernikes for frequency 1 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00052 piston 1 1 -0.01529 tilt_x 1 -1 -0.00716 tilt_y 2 2 0.08019 astigmatism_0 2 0 0.00422 curvature 2 -2 0.04461 astigmatism45 3 3 0.02697 trefoil_0 3 1 -0.03866 coma_x 3 -1 -0.03241 coma_y 3 -3 -0.01483 trefoil_30 Fitting many Zernikes for frequency 2 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00049 piston 1 1 -0.01435 tilt_x 1 -1 -0.00780 tilt_y 2 2 0.07846 astigmatism_0 2 0 0.00420 curvature 2 -2 0.04445 astigmatism45 3 3 0.02557 trefoil_0 3 1 -0.03620 coma_x 3 -1 -0.03388 coma_y 3 -3 -0.01408 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 -0.00038 piston 1 1 -0.01288 tilt_x 1 -1 -0.00920 tilt_y 2 2 0.07520 astigmatism_0 2 0 0.00436 curvature 2 -2 0.04500 astigmatism45 3 3 0.02220 trefoil_0 3 1 -0.03213 coma_x 3 -1 -0.03716 coma_y 3 -3 -0.01279 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 -0.00024 piston 1 1 -0.01141 tilt_x 1 -1 -0.01083 tilt_y 2 2 0.07152 astigmatism_0 2 0 0.00463 curvature 2 -2 0.04510 astigmatism45 3 3 0.01890 trefoil_0 3 1 -0.02785 coma_x 3 -1 -0.04118 coma_y 3 -3 -0.01152 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 -0.00017 piston 1 1 -0.01040 tilt_x 1 -1 -0.01140 tilt_y 2 2 0.06985 astigmatism_0 2 0 0.00479 curvature 2 -2 0.04491 astigmatism45 3 3 0.01755 trefoil_0 3 1 -0.02486 coma_x 3 -1 -0.04248 coma_y 3 -3 -0.01144 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 -0.00014 piston 1 1 -0.00939 tilt_x 1 -1 -0.01173 tilt_y 2 2 0.06843 astigmatism_0 2 0 0.00482 curvature 2 -2 0.04524 astigmatism45 3 3 0.01705 trefoil_0 3 1 -0.02175 coma_x 3 -1 -0.04319 coma_y 3 -3 -0.01117 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 -0.00002 piston 1 1 -0.00668 tilt_x 1 -1 -0.01220 tilt_y 2 2 0.06476 astigmatism_0 2 0 0.00505 curvature 2 -2 0.04368 astigmatism45 3 3 0.01489 trefoil_0 3 1 -0.01372 coma_x 3 -1 -0.04395 coma_y 3 -3 -0.01153 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 -0.00102 piston 1 1 -0.03719 tilt_x 1 -1 -0.00547 tilt_y 2 2 0.11430 astigmatism_0 2 0 0.00320 curvature 2 -2 0.04061 astigmatism45 3 3 0.05305 trefoil_0 3 1 -0.10287 coma_x 3 -1 -0.03559 coma_y 3 -3 -0.02122 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 -0.00096 piston 1 1 -0.03550 tilt_x 1 -1 -0.00544 tilt_y 2 2 0.11238 astigmatism_0 2 0 0.00339 curvature 2 -2 0.04016 astigmatism45 3 3 0.05066 trefoil_0 3 1 -0.09809 coma_x 3 -1 -0.03508 coma_y 3 -3 -0.02199 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 -0.00092 piston 1 1 -0.03408 tilt_x 1 -1 -0.00532 tilt_y 2 2 0.11104 astigmatism_0 2 0 0.00355 curvature 2 -2 0.03992 astigmatism45 3 3 0.04960 trefoil_0 3 1 -0.09398 coma_x 3 -1 -0.03466 coma_y 3 -3 -0.02321 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 -0.00082 piston 1 1 -0.03227 tilt_x 1 -1 -0.00478 tilt_y 2 2 0.10829 astigmatism_0 2 0 0.00392 curvature 2 -2 0.03891 astigmatism45 3 3 0.04569 trefoil_0 3 1 -0.08893 coma_x 3 -1 -0.03264 coma_y 3 -3 -0.02362 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 -0.00069 piston 1 1 -0.03064 tilt_x 1 -1 -0.00486 tilt_y 2 2 0.10557 astigmatism_0 2 0 0.00432 curvature 2 -2 0.03827 astigmatism45 3 3 0.04285 trefoil_0 3 1 -0.08397 coma_x 3 -1 -0.03216 coma_y 3 -3 -0.02428 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 -0.00062 piston 1 1 -0.02998 tilt_x 1 -1 -0.00510 tilt_y 2 2 0.10372 astigmatism_0 2 0 0.00454 curvature 2 -2 0.03804 astigmatism45 3 3 0.04126 trefoil_0 3 1 -0.08207 coma_x 3 -1 -0.03248 coma_y 3 -3 -0.02348 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 -0.00056 piston 1 1 -0.02915 tilt_x 1 -1 -0.00500 tilt_y 2 2 0.10197 astigmatism_0 2 0 0.00467 curvature 2 -2 0.03751 astigmatism45 3 3 0.03910 trefoil_0 3 1 -0.07952 coma_x 3 -1 -0.03170 coma_y 3 -3 -0.02233 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 -0.00041 piston 1 1 -0.02679 tilt_x 1 -1 -0.00514 tilt_y 2 2 0.09793 astigmatism_0 2 0 0.00490 curvature 2 -2 0.03586 astigmatism45 3 3 0.03517 trefoil_0 3 1 -0.07247 coma_x 3 -1 -0.03097 coma_y 3 -3 -0.02090 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: 35.6 26.2 29.1 37.8 29.8 38.8 43.5 37.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.6 23.6 28.4 36.6 26.5 34.9 42.6 35.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.03 5.77 7.57 8.88 10.5 13.7 19.6 13.2 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.3 26.2 35.9 36.2 29.7 39 43.8 38 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.4 23.6 35.4 35 26.5 34.9 42.9 36 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.93 5.59 7.36 8.7 10.3 13.5 19.3 13 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.1 26.4 28.4 35.4 29.6 39.1 44.1 37.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.2 23.9 26.9 34.2 26.6 35 43.2 35.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.88 5.5 7.24 8.55 10.1 13.2 18.9 12.7 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35 27 24.9 34.6 29.4 38.8 44.9 36.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.1 24.5 23.3 33.4 26.5 34.7 44 34.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.85 5.44 7.15 8.39 9.83 12.8 18.3 12.3 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.5 27.8 24.8 35 29.1 38.2 45.6 37 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.6 25.4 23.1 34 26.5 34.2 44.3 34.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.88 5.48 7.16 8.3 9.54 12.3 17.7 12 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.1 28.4 25.1 35.8 29.1 37.8 45.8 37.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.3 26 23.5 34.9 26.5 33.9 44.4 35.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.85 5.42 7.08 8.19 9.38 12.1 17.3 11.7 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 28.9 25.3 37.2 29.2 37.4 45.9 37.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33 26.6 23.7 36.4 26.7 33.7 44.4 35.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.8 5.33 6.97 8.06 9.25 11.9 17.1 11.6 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33 29.4 25.2 42.9 29.7 36.8 45.8 38.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.5 27.5 23.9 42.2 27.4 33.4 44 36.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.67 5.07 6.64 7.68 8.81 11.3 16.2 11 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.5 28.7 23.8 45.6 30 37.4 47.7 39.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30 26.2 25.2 45.7 28.9 33.2 45.5 37.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.27 11.7 14.7 15.6 15.5 18.7 29 19.8 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.3 28.9 23.7 42.9 30 37.2 47.4 38.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.8 26.2 24.8 42.9 28.8 33 45.1 37 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6 11.2 14.1 15 15.1 18.3 28.3 19.3 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.4 28.8 23.6 41 30.1 37.2 47 38.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 26.2 24.5 41 28.7 33 44.6 36.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.77 10.8 13.6 14.6 14.8 18.1 27.8 18.9 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32 28.3 23.1 38 29.8 37.4 46 37.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.6 25.6 23.6 38.3 28 33.2 43.9 35.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.46 10.2 12.9 13.9 14.3 17.5 26.8 18.2 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.5 27.7 21.9 35.9 29.5 37.7 45.1 37.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32 24.9 21.7 36.5 27.2 33.5 43.2 35.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.18 9.72 12.3 13.3 13.8 17.1 25.9 17.6 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34 27.3 22.7 35.2 29.4 38.1 44.8 37.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.6 24.4 22.3 35.8 26.9 33.9 43.1 35.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.09 9.55 12.1 13.1 13.6 16.7 25.4 17.3 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.8 26.9 23.3 34.6 29.4 38.4 44.5 37 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.4 23.9 22.8 35.3 26.8 34.1 43 35.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.94 9.26 11.7 12.7 13.3 16.4 24.8 16.9 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 36.2 26.2 24 33.7 29.6 38.9 44.3 37 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.9 23.2 23.4 34.1 26.6 34.7 43 35.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.55 8.55 10.9 11.9 12.6 15.6 23.5 16 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 30.8 26.3 19.7 24.6 27.4 36.4 43.3 34 Mean deviation is 0.021179304384193798 microns Taper = 10 dB, Ruze illumination-weighted rms = 33.0 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 = 30.0 micron Centre pixel: 64.0 64.0 Value = 2652.29 (estimate), 3708.08 (perfect) Strehl = 0.511616 Strehl ratio estimate = 0.5116 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 = 29.2 micron Centre pixel: 64.0 64.0 Value = 2023.04 (estimate), 3708.08 (perfect) Strehl = 0.297653 Strehl ratio estimate = 0.2977 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 32.1 17.3 -10.0 37.8 2 1 2 66.6 -16.0 21.9 71.9 3 1 3 85.1 5.7 39.7 94.1 4 1 4 109.7 53.6 26.2 124.8 5 1 5 64.3 18.7 61.7 91.0 6 1 6 67.4 44.4 46.5 93.1 7 1 7 13.1 46.2 9.4 48.9 8 1 8 0.7 42.9 33.1 54.2 9 1 9 -1.2 -3.4 23.0 23.3 10 1 10 55.7 28.4 17.3 64.9 11 1 11 74.4 35.2 1.6 82.3 12 1 12 60.8 -0.4 16.5 63.0 13 2 1 22.9 -55.0 -40.9 72.3 14 2 2 22.7 -45.5 -38.3 63.6 15 2 3 47.6 -30.9 -40.7 69.8 16 2 4 10.8 -16.8 -11.0 22.8 17 2 5 51.7 -15.0 -5.0 54.0 18 2 6 49.7 -13.0 15.9 53.8 19 2 7 28.9 -14.8 8.6 33.6 20 2 8 87.8 -6.0 -16.9 89.6 21 2 9 52.7 -3.8 15.8 55.1 22 2 10 49.8 10.5 21.6 55.3 23 2 11 39.2 -10.4 4.2 40.8 24 2 12 27.2 -7.2 -25.4 37.8 25 2 13 28.9 13.7 -9.8 33.5 26 2 14 14.5 -29.4 1.4 32.8 27 2 15 31.5 -11.0 -42.3 53.9 28 2 16 5.3 1.6 -15.0 16.0 29 2 17 11.2 -22.2 -9.7 26.7 30 2 18 30.8 -6.5 -33.9 46.2 31 2 19 -0.5 -19.0 -26.0 32.3 32 2 20 39.8 -36.9 -37.1 65.7 33 2 21 20.4 -3.6 -45.4 49.9 34 2 22 0.9 -63.8 -68.6 93.6 35 2 23 55.1 -34.5 -38.7 75.7 36 2 24 19.0 -46.7 -55.9 75.2 37 3 1 -9.1 -17.8 -24.6 31.6 38 3 2 -27.2 -4.0 -46.3 53.9 39 3 3 -5.7 -1.1 -37.4 37.9 40 3 4 -0.7 -7.6 -17.0 18.6 41 3 5 -14.1 0.4 -28.9 32.2 42 3 6 -19.9 14.8 -24.1 34.5 43 3 7 -0.3 14.8 -20.7 25.5 44 3 8 1.7 -7.0 -0.7 7.2 45 3 9 8.1 -11.3 -34.4 37.1 46 3 10 9.8 4.8 -20.8 23.5 47 3 11 0.7 3.6 -26.9 27.2 48 3 12 14.4 8.2 -22.0 27.6 49 3 13 1.8 2.2 -13.1 13.4 50 3 14 22.0 10.4 -33.4 41.3 51 3 15 -2.7 13.7 -15.9 21.2 52 3 16 9.7 8.6 -25.5 28.6 53 3 17 37.6 11.5 -20.0 44.1 54 3 18 22.5 26.4 -5.7 35.2 55 3 19 32.5 28.8 -26.8 51.1 56 3 20 -17.2 12.6 -0.9 21.4 57 3 21 -11.5 5.6 -12.1 17.6 58 3 22 8.4 18.5 6.2 21.3 59 3 23 -0.5 19.0 -14.9 24.2 60 3 24 16.5 0.9 -8.1 18.4 61 3 25 -8.6 -3.4 -15.0 17.7 62 3 26 -27.7 -2.5 -7.9 28.9 63 3 27 -37.1 -5.8 -35.0 51.3 64 3 28 -15.8 -9.8 -42.4 46.3 65 3 29 -30.4 -18.2 -13.9 38.0 66 3 30 -14.0 -11.7 -41.0 44.9 67 3 31 -28.6 1.6 -35.4 45.6 68 3 32 -19.5 -8.6 -35.9 41.7 69 3 33 -0.9 -0.4 2.7 2.9 70 3 34 8.8 15.2 4.9 18.2 71 3 35 -5.1 22.7 -27.9 36.4 72 3 36 23.6 -2.0 -5.4 24.3 73 3 37 -19.3 -6.2 -57.9 61.3 74 3 38 -23.8 12.1 -27.9 38.6 75 3 39 -9.9 -2.3 -53.3 54.3 76 3 40 -25.3 1.0 -66.8 71.4 77 3 41 -6.2 -3.2 -20.5 21.7 78 3 42 3.5 5.0 -20.7 21.6 79 3 43 -23.1 6.1 -32.9 40.6 80 3 44 -2.0 -17.9 -15.3 23.6 81 3 45 -10.1 -18.2 -55.2 59.0 82 3 46 -25.2 -18.6 -51.5 60.3 83 3 47 -66.0 -26.8 -57.4 91.5 84 3 48 -24.9 -31.6 -76.9 86.8 85 4 1 -37.1 -42.1 4.1 56.3 86 4 2 -9.9 -33.0 -84.3 91.1 87 4 3 -19.4 -20.9 -45.6 53.8 88 4 4 -9.7 -5.1 -80.3 81.1 89 4 5 6.3 -4.8 -35.7 36.6 90 4 6 5.9 2.8 -43.0 43.5 91 4 7 6.5 -3.3 -16.7 18.2 92 4 8 -25.7 8.0 -43.2 50.9 93 4 9 -11.4 -2.0 -17.2 20.7 94 4 10 -22.0 11.4 -42.5 49.2 95 4 11 -5.0 -8.5 -56.6 57.5 96 4 12 -18.5 51.8 -51.5 75.4 97 4 13 6.5 22.9 19.7 30.9 98 4 14 25.2 1.5 -43.0 49.9 99 4 15 -27.3 -4.5 -15.2 31.6 100 4 16 -37.1 18.6 -23.5 47.7 101 4 17 -21.6 -1.3 -24.8 32.9 102 4 18 17.0 11.0 17.7 26.9 103 4 19 -3.0 2.6 -18.6 19.1 104 4 20 16.6 11.4 -43.4 47.8 105 4 21 -15.1 -1.4 -30.8 34.3 106 4 22 -53.3 -7.6 87.9 103.1 107 4 23 -24.6 -20.1 -24.6 40.2 108 4 24 -39.0 -15.6 -6.4 42.5 109 4 25 -59.8 -11.1 -4.3 60.9 110 4 26 -14.1 -35.0 -72.7 81.9 111 4 27 -29.3 -10.4 -22.2 38.2 112 4 28 -32.4 -19.9 -30.2 48.5 113 4 29 -47.2 -8.3 -89.6 101.6 114 4 30 -42.0 -8.8 -0.9 42.9 115 4 31 -44.4 -1.6 -17.7 47.9 116 4 32 -43.3 -2.0 2.1 43.4 117 4 33 -48.9 19.9 -2.1 52.8 118 4 34 -8.3 2.7 -24.8 26.3 119 4 35 11.6 19.2 -42.8 48.4 120 4 36 -33.6 11.8 -19.0 40.4 121 4 37 -31.5 22.1 -33.5 51.0 122 4 38 -9.4 -3.5 -76.7 77.3 123 4 39 -30.4 6.7 -26.0 40.5 124 4 40 -7.3 9.1 -53.5 54.7 125 4 41 -27.4 38.6 -44.5 65.0 126 4 42 -11.1 5.4 -56.1 57.5 127 4 43 -48.2 -1.9 -64.2 80.3 128 4 44 -22.3 1.5 -47.3 52.3 129 4 45 -5.1 -2.1 -59.3 59.6 130 4 46 -25.8 -31.8 -62.5 74.8 131 4 47 -22.2 -32.9 -63.3 74.8 132 4 48 -59.4 -42.8 -39.5 83.2 133 5 1 3.8 -13.8 -43.7 46.0 134 5 2 -25.0 -15.8 -46.9 55.5 135 5 3 -12.0 -11.5 -56.6 59.0 136 5 4 -11.5 -5.8 -32.4 34.8 137 5 5 -10.1 -1.8 -59.3 60.2 138 5 6 -17.6 -3.3 -48.1 51.4 139 5 7 0.8 35.5 -4.9 35.8 140 5 8 -12.7 23.7 -48.2 55.2 141 5 9 15.8 7.9 11.9 21.3 142 5 10 -11.5 18.8 -17.4 28.1 143 5 11 12.0 22.9 29.7 39.3 144 5 12 0.5 75.2 6.3 75.4 145 5 13 18.0 53.1 6.1 56.4 146 5 14 12.0 36.2 12.4 40.1 147 5 15 6.3 20.8 -18.6 28.6 148 5 16 7.6 39.2 14.8 42.5 149 5 17 -5.7 44.0 45.6 63.6 150 5 18 14.2 6.8 115.1 116.2 151 5 19 -12.9 2.6 -49.4 51.1 152 5 20 -32.7 -23.3 -46.5 61.4 153 5 21 -2.2 -4.9 -29.5 30.0 154 5 22 -21.3 -1.9 -37.9 43.5 155 5 23 -35.9 -8.2 13.0 39.0 156 5 24 5.9 2.5 21.4 22.3 157 5 25 0.3 -0.7 -20.5 20.6 158 5 26 -42.1 -16.4 -12.5 46.9 159 5 27 -36.1 -20.4 -71.2 82.4 160 5 28 -39.0 -13.1 -19.5 45.5 161 5 29 -13.3 -12.9 -36.2 40.6 162 5 30 -28.2 -14.1 31.7 44.7 163 5 31 -24.2 -14.5 -28.9 40.4 164 5 32 -32.4 19.8 4.6 38.2 165 5 33 15.5 45.7 20.5 52.4 166 5 34 -9.8 1.0 5.4 11.3 167 5 35 16.2 40.6 26.4 51.0 168 5 36 -4.2 40.1 24.3 47.0 169 5 37 -1.6 55.5 -16.9 58.1 170 5 38 -25.5 18.8 -6.4 32.3 171 5 39 -12.1 57.1 -10.4 59.3 172 5 40 -38.6 26.8 -8.2 47.7 173 5 41 23.4 56.2 24.1 65.5 174 5 42 -34.1 14.1 -28.8 46.8 175 5 43 -7.5 14.4 -32.8 36.6 176 5 44 -14.4 8.9 -18.1 24.7 177 5 45 4.7 19.3 -16.4 25.7 178 5 46 0.6 2.4 -29.8 29.9 179 5 47 -29.4 -10.5 1.0 31.2 180 5 48 -5.9 1.3 -36.8 37.3 181 6 1 -25.8 -21.4 -38.3 50.9 182 6 2 -31.5 -24.6 -57.7 70.2 183 6 3 -58.6 -26.6 -75.0 98.8 184 6 4 -40.7 -17.2 -125.8 133.3 185 6 5 -13.5 -18.4 -71.1 74.7 186 6 6 -9.2 -4.8 -72.6 73.3 187 6 7 -5.1 -16.3 -50.9 53.7 188 6 8 -20.4 16.4 -21.8 34.1 189 6 9 -8.7 6.1 -34.1 35.7 190 6 10 -48.4 56.7 -17.3 76.5 191 6 11 54.0 43.9 24.9 73.9 192 6 12 33.1 34.5 8.1 48.5 193 6 13 43.3 42.3 -16.7 62.8 194 6 14 25.9 30.4 -10.6 41.3 195 6 15 8.2 31.7 -17.6 37.1 196 6 16 8.6 44.6 -51.6 68.7 197 6 17 0.7 2.3 -33.4 33.5 198 6 18 6.6 2.5 -177.8 178.0 199 6 19 30.4 -16.0 -50.7 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36.2 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20071003-111538 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1