Reduction started at: 20071003-151505 Reading data from rxh3-20071003-141710.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 = 2428.0 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 -3.19092 3.23486 0.03081 loimag -3.42041 3.18848 -0.06838 hireal -5.00000 4.99756 1.12035 hiimag -5.00000 4.99756 -0.08901 xpos -2428.04225 2420.59569 -6.90022 ypos -2403.27545 2403.18207 0.00080 plock160 1.21826 2.44629 1.89604 lorefpwr 0.44434 1.59180 1.21734 losigpwr -4.57275 0.01465 -4.39482 hirefpwr 0.50293 1.64795 1.26576 hisigpwr -4.47266 4.99756 -0.39614 encltemp 31.90918 34.81445 32.50121 flags 0.00000 256.00000 2.76738 phi-lock -1.27686 -0.11230 -0.69845 sindex 0.00000 128.00000 63.61104 time 0.00000 2947.98780 1473.09415 zeropt 0.00000 0.00488 0.00245 !!!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 = 40.00631 arcsec Mean row spacing = 40.00632 arcsec (alternate estimator) Mean tracking incline = -0.05888 arcsec Mean pointing range = 0.61720 arcsec Mean pointing rms = 0.10757 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: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22679 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 = 2428.04 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 = 3.18638 at (0.0, -40.010952902519172) arcsec Real: mean = -0.000858976 sum of squares = 963.534 Imag: mean = -0.00301803 sum of squares = 890.411 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 = 3.20107 at (0.0, -40.010454913186891) arcsec Real: mean = -0.000713086 sum of squares = 1000.98 Imag: mean = -0.00289286 sum of squares = 852.32 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 = 3.21863 at (0.0, -40.009956936250724) arcsec Real: mean = -0.000552625 sum of squares = 1023.18 Imag: mean = -0.00275384 sum of squares = 829.036 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 = 3.27496 at (0.0, -40.0089610195649) arcsec Real: mean = -0.000264655 sum of squares = 1011.6 Imag: mean = -0.00233444 sum of squares = 840.876 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 = 3.29635 at (0.0, -40.007965152457999) arcsec Real: mean = -0.000119897 sum of squares = 939.041 Imag: mean = -0.00177088 sum of squares = 914.423 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 = 3.30782 at (0.0, -40.00746723749549) arcsec Real: mean = -0.000223296 sum of squares = 896.308 Imag: mean = -0.00146224 sum of squares = 958.886 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 = 3.31182 at (0.0, -40.006969334926325) arcsec Real: mean = -0.000369598 sum of squares = 859.799 Imag: mean = -0.00117625 sum of squares = 996.596 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 = 3.28005 at (0.0, -40.005973566966176) arcsec Real: mean = -0.000904921 sum of squares = 828.352 Imag: mean = -0.000815178 sum of squares = 1029.87 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 = 3.26084 at (0.0, -40.004977848573851) arcsec Real: mean = -0.00146504 sum of squares = 862.941 Imag: mean = -0.000810601 sum of squares = 995.252 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 = 3.24279 at (0.0, -40.004480007964467) arcsec Real: mean = -0.00170545 sum of squares = 899.807 Imag: mean = -0.000893236 sum of squares = 958.396 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 = 3.2245 at (0.0, -40.003982179745641) arcsec Real: mean = -0.00188978 sum of squares = 941.563 Imag: mean = -0.000995411 sum of squares = 916.143 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 = 3.20771 at (0.0, -40.002986560477851) arcsec Real: mean = -0.00224643 sum of squares = 1011.94 Imag: mean = -0.00126623 sum of squares = 847.615 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 = 3.17778 at (0.0, -40.001990990766792) arcsec Real: mean = -0.00257669 sum of squares = 1023.32 Imag: mean = -0.00172991 sum of squares = 838.055 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 = 3.1716 at (0.0, -40.001493224493863) arcsec Real: mean = -0.0026028 sum of squares = 1002.04 Imag: mean = -0.00205511 sum of squares = 860.932 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 = 3.16314 at (0.0, -40.000995470608736) arcsec Real: mean = -0.00255468 sum of squares = 966.754 Imag: mean = -0.00234919 sum of squares = 897.22 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 = 3.14536 at (0.0, -40.0) arcsec Real: mean = -0.00226231 sum of squares = 883.552 Imag: mean = -0.00296661 sum of squares = 984.42 Masking frequency index 0 Mask scale size = 3.05999 Masking frequency index 1 Mask scale size = 3.06003 Masking frequency index 2 Mask scale size = 3.06007 Masking frequency index 3 Mask scale size = 3.06014 Masking frequency index 4 Mask scale size = 3.06022 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 = 3.06037 Masking frequency index 8 Mask scale size = 3.06045 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 = 3.0606 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 = 3.06075 Masking frequency index 15 Mask scale size = 3.06083 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.197754 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: 0.209961 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.219727 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.219727 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: 0.212402 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.222168 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0195312 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.0195312 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -2.0599 99.466 Freq 1: Shift, scale = -2.2809 100.18 Freq 2: Shift, scale = -2.5025 100.85 Freq 3: Shift, scale = -2.9431 102.03 Freq 4: Shift, scale = 2.9019 102.87 Freq 5: Shift, scale = 2.6856 103.08 Freq 6: Shift, scale = 2.4708 103.12 Freq 7: Shift, scale = 2.0452 103.38 Freq 8: Shift, scale = 1.6192 103.54 Freq 9: Shift, scale = 1.4045 103.52 Freq 10: Shift, scale = 1.1882 103.2 Freq 11: Shift, scale = 0.75055 102.02 Freq 12: Shift, scale = 0.31352 100.63 Freq 13: Shift, scale = 0.094783 99.838 Freq 14: Shift, scale = -0.1232 99.033 Freq 15: Shift, scale = -0.56162 98.243 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: -0.446 radians x offset: 11.3 arcsec y offset: 15.2 arcsec defocus: 0.385 mm Estimated x pointing error is 11.26 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.22 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.885 mm (used 2.5 mm) Fitting frequency 1 Minimiser fit code = 3 piston: -0.45 radians x offset: 11.3 arcsec y offset: 15.2 arcsec defocus: 0.385 mm Estimated x pointing error is 11.32 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.21 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.885 mm (used 2.5 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.454 radians x offset: 11.4 arcsec y offset: 15.2 arcsec defocus: 0.383 mm Estimated x pointing error is 11.37 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.2 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.883 mm (used 2.5 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.462 radians x offset: 11.5 arcsec y offset: 15.2 arcsec defocus: 0.379 mm Estimated x pointing error is 11.49 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.18 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.879 mm (used 2.5 mm) Fitting frequency 4 Minimiser fit code = 2 piston: -0.468 radians x offset: 11.6 arcsec y offset: 15.2 arcsec defocus: 0.374 mm Estimated x pointing error is 11.61 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.16 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.874 mm (used 2.5 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.399 radians x offset: 10.1 arcsec y offset: 15 arcsec defocus: 0.433 mm Estimated x pointing error is 10.13 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.01 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.933 mm (used 2.5 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.398 radians x offset: 10.2 arcsec y offset: 15 arcsec defocus: 0.43 mm Estimated x pointing error is 10.2 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.01 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 7 Minimiser fit code = 3 piston: -0.391 radians x offset: 10.3 arcsec y offset: 15 arcsec defocus: 0.423 mm Estimated x pointing error is 10.31 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.04 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.923 mm (used 2.5 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.385 radians x offset: 10.4 arcsec y offset: 15.1 arcsec defocus: 0.416 mm Estimated x pointing error is 10.4 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.07 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 9 Minimiser fit code = 3 piston: -0.383 radians x offset: 10.5 arcsec y offset: 15.1 arcsec defocus: 0.413 mm Estimated x pointing error is 10.46 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.09 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 10 Minimiser fit code = 3 piston: -0.384 radians x offset: 10.5 arcsec y offset: 15.1 arcsec defocus: 0.41 mm Estimated x pointing error is 10.51 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.11 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.91 mm (used 2.5 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.39 radians x offset: 10.6 arcsec y offset: 15.2 arcsec defocus: 0.404 mm Estimated x pointing error is 10.63 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.15 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.904 mm (used 2.5 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.395 radians x offset: 10.8 arcsec y offset: 15.2 arcsec defocus: 0.397 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 15.16 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.897 mm (used 2.5 mm) Fitting frequency 13 Minimiser fit code = 2 piston: -0.398 radians x offset: 10.8 arcsec y offset: 15.2 arcsec defocus: 0.395 mm Estimated x pointing error is 10.83 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.17 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.895 mm (used 2.5 mm) Fitting frequency 14 Minimiser fit code = 2 piston: -0.4 radians x offset: 10.9 arcsec y offset: 15.2 arcsec defocus: 0.392 mm Estimated x pointing error is 10.9 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.17 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.892 mm (used 2.5 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.404 radians x offset: 11 arcsec y offset: 15.2 arcsec defocus: 0.39 mm Estimated x pointing error is 11.03 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 15.17 arcsec (used 0 arcsec) !!!Warning!!! Pointing error in elevation > 5.0 arcsec Estimated defocus error is 2.89 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 -0.00014 piston 1 1 -0.00383 tilt_x 1 -1 0.01403 tilt_y 2 2 0.02925 astigmatism_0 2 0 0.00554 curvature 2 -2 0.05730 astigmatism45 3 3 0.01581 trefoil_0 3 1 -0.00631 coma_x 3 -1 0.03775 coma_y 3 -3 -0.04129 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 -0.00005 piston 1 1 -0.00272 tilt_x 1 -1 0.01312 tilt_y 2 2 0.02664 astigmatism_0 2 0 0.00572 curvature 2 -2 0.05746 astigmatism45 3 3 0.01381 trefoil_0 3 1 -0.00328 coma_x 3 -1 0.03565 coma_y 3 -3 -0.04082 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 0.00006 piston 1 1 -0.00125 tilt_x 1 -1 0.01203 tilt_y 2 2 0.02460 astigmatism_0 2 0 0.00594 curvature 2 -2 0.05706 astigmatism45 3 3 0.01077 trefoil_0 3 1 0.00089 coma_x 3 -1 0.03312 coma_y 3 -3 -0.03984 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 0.00023 piston 1 1 0.00215 tilt_x 1 -1 0.01036 tilt_y 2 2 0.01816 astigmatism_0 2 0 0.00623 curvature 2 -2 0.05705 astigmatism45 3 3 0.00590 trefoil_0 3 1 0.01062 coma_x 3 -1 0.02965 coma_y 3 -3 -0.03733 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 0.00038 piston 1 1 0.00667 tilt_x 1 -1 0.00954 tilt_y 2 2 0.01093 astigmatism_0 2 0 0.00644 curvature 2 -2 0.05660 astigmatism45 3 3 0.00077 trefoil_0 3 1 0.02374 coma_x 3 -1 0.02875 coma_y 3 -3 -0.03583 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 -0.00175 piston 1 1 -0.04818 tilt_x 1 -1 0.02085 tilt_y 2 2 0.09465 astigmatism_0 2 0 0.00324 curvature 2 -2 0.04985 astigmatism45 3 3 0.06798 trefoil_0 3 1 -0.13406 coma_x 3 -1 0.04342 coma_y 3 -3 -0.04818 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 -0.00168 piston 1 1 -0.04543 tilt_x 1 -1 0.02050 tilt_y 2 2 0.09045 astigmatism_0 2 0 0.00345 curvature 2 -2 0.05007 astigmatism45 3 3 0.06548 trefoil_0 3 1 -0.12608 coma_x 3 -1 0.04295 coma_y 3 -3 -0.04915 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 -0.00165 piston 1 1 -0.04123 tilt_x 1 -1 0.02086 tilt_y 2 2 0.08454 astigmatism_0 2 0 0.00366 curvature 2 -2 0.04944 astigmatism45 3 3 0.05945 trefoil_0 3 1 -0.11390 coma_x 3 -1 0.04481 coma_y 3 -3 -0.05053 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 -0.00155 piston 1 1 -0.03737 tilt_x 1 -1 0.02109 tilt_y 2 2 0.07930 astigmatism_0 2 0 0.00396 curvature 2 -2 0.04999 astigmatism45 3 3 0.05543 trefoil_0 3 1 -0.10251 coma_x 3 -1 0.04641 coma_y 3 -3 -0.05255 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 -0.00146 piston 1 1 -0.03553 tilt_x 1 -1 0.02091 tilt_y 2 2 0.07697 astigmatism_0 2 0 0.00417 curvature 2 -2 0.04973 astigmatism45 3 3 0.05282 trefoil_0 3 1 -0.09702 coma_x 3 -1 0.04656 coma_y 3 -3 -0.05269 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 -0.00134 piston 1 1 -0.03350 tilt_x 1 -1 0.02062 tilt_y 2 2 0.07386 astigmatism_0 2 0 0.00439 curvature 2 -2 0.04962 astigmatism45 3 3 0.05029 trefoil_0 3 1 -0.09125 coma_x 3 -1 0.04661 coma_y 3 -3 -0.05280 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 -0.00106 piston 1 1 -0.02863 tilt_x 1 -1 0.01965 tilt_y 2 2 0.06741 astigmatism_0 2 0 0.00483 curvature 2 -2 0.04954 astigmatism45 3 3 0.04440 trefoil_0 3 1 -0.07690 coma_x 3 -1 0.04584 coma_y 3 -3 -0.05169 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 -0.00078 piston 1 1 -0.02358 tilt_x 1 -1 0.01905 tilt_y 2 2 0.06045 astigmatism_0 2 0 0.00515 curvature 2 -2 0.04950 astigmatism45 3 3 0.03754 trefoil_0 3 1 -0.06231 coma_x 3 -1 0.04620 coma_y 3 -3 -0.04926 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 -0.00061 piston 1 1 -0.02111 tilt_x 1 -1 0.01827 tilt_y 2 2 0.05667 astigmatism_0 2 0 0.00541 curvature 2 -2 0.04933 astigmatism45 3 3 0.03403 trefoil_0 3 1 -0.05517 coma_x 3 -1 0.04499 coma_y 3 -3 -0.04880 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 -0.00051 piston 1 1 -0.01840 tilt_x 1 -1 0.01796 tilt_y 2 2 0.05331 astigmatism_0 2 0 0.00548 curvature 2 -2 0.04868 astigmatism45 3 3 0.03019 trefoil_0 3 1 -0.04739 coma_x 3 -1 0.04490 coma_y 3 -3 -0.04731 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 -0.00031 piston 1 1 -0.01309 tilt_x 1 -1 0.01670 tilt_y 2 2 0.04628 astigmatism_0 2 0 0.00565 curvature 2 -2 0.04840 astigmatism45 3 3 0.02413 trefoil_0 3 1 -0.03214 coma_x 3 -1 0.04270 coma_y 3 -3 -0.04550 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: 32.4 27.4 29.2 39.2 29.7 37.4 48 39.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.4 27.5 29 38.6 27.8 34.8 45.9 37.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.2 4.23 5.66 6.73 7.97 10.5 15.2 10.2 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.2 27.5 28.1 38.3 29.6 37.2 47.9 39.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.3 27.7 27.9 37.7 27.9 34.8 45.8 37.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.06 3.97 5.37 6.47 7.78 10.3 14.8 9.92 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.8 27.8 28.6 38.4 29.6 36.7 47.6 39 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.9 28.2 28.5 37.9 28.1 34.4 45.6 37.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.91 3.7 5.05 6.17 7.54 10 14.4 9.61 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.8 28.3 28.3 39.4 29.8 36.3 46.9 38.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.1 29.1 28.8 39.1 28.7 34.3 45.1 37.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.82 3.52 4.82 5.9 7.21 9.57 13.7 9.15 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30 28.4 27.6 43.9 30.2 35.8 46.8 39.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 29.9 28.8 44 29.7 34.2 45.2 38.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.14 4.09 5.42 6.28 7.16 9.21 13.4 9.09 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.9 26.3 24.9 43.2 29.8 37.4 50.1 40.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.1 27.2 29.7 45.7 31.5 34.8 49 40.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 8.09 15 18.6 18.9 16.8 18.4 31.4 21.8 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.7 26.6 24.1 41.5 29.9 36.9 49.7 40.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.9 27 28.4 43.7 31.1 34.2 48.4 40.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 7.64 14.2 17.6 17.9 16.1 17.9 30.2 20.9 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 28.9 26.9 23.4 38.2 29.6 36.8 48.3 39.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 27.9 26.7 26.5 40 30.2 34 47 38.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 7.02 13.1 16.2 16.6 15.1 16.9 28.4 19.5 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.4 27.3 24.6 35.6 29 37.1 47.4 38.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.3 26.7 26.9 37 28.9 33.8 46 37.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.46 12 15 15.4 14.2 16.3 26.9 18.5 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 27.2 24.7 34.9 28.7 37.3 46.9 38.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 28.6 26.4 26.5 36.1 28.2 33.9 45.7 37.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.18 11.5 14.3 14.8 13.8 15.9 26.1 17.9 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.1 26.9 24.9 34.4 28.3 37.6 46.6 38.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.2 25.9 25.6 35.5 27.4 34 45.5 37.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.88 11 13.7 14.1 13.3 15.5 25.3 17.3 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.2 26.2 25.4 34.5 28.3 37.7 46.2 38.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.4 25 25.7 35.1 26.5 34 45.4 37.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 5.14 9.59 12 12.6 12.2 14.5 23.2 15.8 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.3 25.4 25.2 34.8 28.5 37.9 46.3 38.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.5 24.2 25.2 35 26.3 34.3 45.5 37.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.45 8.33 10.5 11.1 11.1 13.4 21.1 14.3 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.8 25.4 25.4 37.9 28.8 37.7 46.6 39 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.1 24.2 25.2 37.7 26.4 34.2 45.6 37.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.09 7.66 9.68 10.4 10.5 12.8 20 13.6 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.4 25.5 25.7 39.9 28.9 37.7 46.7 39.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.8 24.4 25.5 39.7 26.5 34.5 45.7 37.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.75 7.03 8.93 9.64 9.91 12.2 19 12.8 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.6 25.8 27.4 50.2 29.3 37.5 46.9 41.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.3 25 27.1 49.6 27.1 34.6 45.5 39.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 3.07 5.79 7.44 8.25 8.9 11.3 17.1 11.5 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 27.8 24.9 18.4 23.7 26.1 35.1 45 34.9 Mean deviation is 0.63242432616827837 microns Taper = 10 dB, Ruze illumination-weighted rms = 33.8 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 = 30.7 micron Centre pixel: 64.0 64.0 Value = 2613.79 (estimate), 3708.08 (perfect) Strehl = 0.496872 Strehl ratio estimate = 0.4969 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 = 29.7 micron Centre pixel: 64.0 64.0 Value = 1978 (estimate), 3708.08 (perfect) Strehl = 0.284548 Strehl ratio estimate = 0.2845 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 53.4 30.1 10.9 62.3 2 1 2 75.6 11.3 33.9 83.6 3 1 3 91.1 15.2 36.4 99.3 4 1 4 120.2 54.5 39.3 137.7 5 1 5 82.1 23.1 57.5 102.9 6 1 6 85.5 47.2 43.5 106.9 7 1 7 39.3 47.7 24.8 66.6 8 1 8 40.6 43.5 41.0 72.2 9 1 9 19.3 17.1 17.1 31.0 10 1 10 66.7 26.5 24.3 75.7 11 1 11 84.6 48.7 45.4 107.6 12 1 12 84.3 21.3 28.9 91.6 13 2 1 34.1 -41.5 -31.5 62.3 14 2 2 32.8 -26.0 -23.7 48.1 15 2 3 51.5 -23.9 -26.7 62.8 16 2 4 48.2 -18.8 -5.0 52.0 17 2 5 62.9 4.0 7.7 63.5 18 2 6 53.1 9.1 33.4 63.4 19 2 7 29.1 -4.9 22.6 37.2 20 2 8 92.5 10.1 -13.8 94.1 21 2 9 52.9 -6.9 7.9 53.9 22 2 10 45.4 4.0 19.5 49.5 23 2 11 33.8 -12.2 -5.8 36.4 24 2 12 24.3 -14.2 -24.3 37.2 25 2 13 31.4 9.6 -12.3 35.0 26 2 14 12.8 -27.6 -3.8 30.7 27 2 15 33.4 -18.4 -47.5 60.9 28 2 16 29.5 -13.6 -20.9 38.6 29 2 17 22.7 -18.9 -18.4 34.8 30 2 18 33.3 -5.5 -31.0 45.8 31 2 19 6.0 -16.2 -21.1 27.2 32 2 20 35.9 -18.7 -20.3 45.3 33 2 21 37.3 8.8 -19.6 43.1 34 2 22 42.2 -53.3 -56.4 88.4 35 2 23 71.5 -22.9 -27.6 80.0 36 2 24 33.4 -30.3 -32.5 55.6 37 3 1 -10.5 -17.6 -17.4 26.9 38 3 2 -15.3 -8.2 -29.0 33.8 39 3 3 -5.9 -4.8 -23.0 24.2 40 3 4 5.9 -10.2 4.0 12.4 41 3 5 -9.6 1.6 -18.4 20.8 42 3 6 -8.7 11.3 -13.2 19.4 43 3 7 5.0 12.1 -13.4 18.7 44 3 8 3.4 0.1 3.8 5.1 45 3 9 22.5 -6.3 -23.8 33.4 46 3 10 15.2 -0.4 -6.5 16.6 47 3 11 8.9 -3.7 -26.5 28.2 48 3 12 -2.0 48.0 -3.9 48.2 49 3 13 -6.4 8.3 -20.8 23.3 50 3 14 23.1 2.4 -36.2 43.0 51 3 15 -4.3 5.0 -20.5 21.5 52 3 16 5.9 -2.4 -21.9 22.8 53 3 17 29.5 -0.2 -27.7 40.4 54 3 18 15.7 8.3 -8.4 19.7 55 3 19 20.2 9.1 -35.6 41.9 56 3 20 -23.2 0.2 -6.1 24.0 57 3 21 -13.4 -12.2 -26.7 32.2 58 3 22 2.9 -1.4 -15.0 15.3 59 3 23 -3.5 -0.9 -29.8 30.0 60 3 24 12.9 -15.7 -23.6 31.2 61 3 25 -10.0 -19.5 -30.7 37.7 62 3 26 -29.4 -22.6 -26.4 45.5 63 3 27 -39.2 -24.4 -46.0 65.2 64 3 28 -12.0 -25.2 -51.9 59.0 65 3 29 -26.4 -30.9 -19.2 44.9 66 3 30 -22.9 -27.7 -38.5 52.7 67 3 31 -37.5 -14.0 -33.0 51.9 68 3 32 -24.3 -17.2 -40.5 50.3 69 3 33 -2.4 -10.1 3.2 10.8 70 3 34 4.4 1.4 8.3 9.5 71 3 35 7.1 1.2 -39.4 40.1 72 3 36 14.8 -12.6 -19.0 27.1 73 3 37 -11.1 -15.8 -50.3 53.8 74 3 38 -6.8 -2.4 -21.9 23.0 75 3 39 1.4 -18.0 -31.2 36.1 76 3 40 0.4 3.5 -41.4 41.6 77 3 41 7.2 2.2 -13.3 15.3 78 3 42 15.2 0.2 -14.5 21.1 79 3 43 -11.1 -0.5 -32.2 34.0 80 3 44 6.4 -19.6 -15.4 25.7 81 3 45 -3.7 -22.3 -44.7 50.1 82 3 46 -21.9 -24.5 -40.0 51.8 83 3 47 -53.3 -33.1 -43.2 76.2 84 3 48 -30.3 -31.4 -67.7 80.5 85 4 1 -25.8 -38.4 15.0 48.7 86 4 2 -6.3 -31.2 -61.4 69.1 87 4 3 -15.2 -20.2 -32.5 41.1 88 4 4 3.8 -4.2 -71.8 72.0 89 4 5 11.6 -0.0 -32.6 34.6 90 4 6 15.4 -4.1 -26.4 30.8 91 4 7 14.3 -9.9 -10.6 20.4 92 4 8 -14.2 10.3 -31.0 35.6 93 4 9 4.9 -8.2 -8.4 12.7 94 4 10 -8.8 5.8 -29.5 31.3 95 4 11 13.5 -17.3 -42.5 47.8 96 4 12 -11.1 58.5 -60.2 84.6 97 4 13 -11.3 -23.7 61.8 67.1 98 4 14 16.0 -10.7 -40.8 45.1 99 4 15 -32.8 -16.8 -20.8 42.3 100 4 16 -36.6 1.5 -18.5 41.1 101 4 17 -21.6 -15.1 -27.0 37.7 102 4 18 10.4 -13.5 14.9 22.7 103 4 19 -4.5 -17.0 -25.4 30.9 104 4 20 6.8 -7.6 -44.3 45.5 105 4 21 -27.3 -19.7 -31.5 46.1 106 4 22 -67.6 -29.5 83.1 111.1 107 4 23 -45.7 -37.8 -25.7 64.7 108 4 24 -55.3 -28.6 -8.5 62.8 109 4 25 -77.6 -24.1 -2.7 81.3 110 4 26 -40.0 -51.0 -66.0 92.5 111 4 27 -42.1 -28.2 -14.8 52.8 112 4 28 -44.3 -37.0 -28.0 64.2 113 4 29 -64.4 -22.9 -86.5 110.3 114 4 30 -42.2 -32.0 -12.9 54.5 115 4 31 -38.0 -25.4 -22.9 51.1 116 4 32 -45.6 -12.6 -3.5 47.5 117 4 33 -47.0 -1.1 -7.2 47.6 118 4 34 -4.7 1.2 -21.2 21.8 119 4 35 -12.4 0.4 -52.4 53.9 120 4 36 -44.9 5.0 -30.5 54.5 121 4 37 -20.2 15.0 -22.3 33.6 122 4 38 -6.1 -19.7 -68.2 71.2 123 4 39 -16.4 -9.6 -8.5 20.7 124 4 40 8.9 8.1 -35.4 37.4 125 4 41 -16.1 34.5 -23.6 44.8 126 4 42 -6.7 6.4 -37.1 38.2 127 4 43 -28.5 -2.0 -31.4 42.4 128 4 44 -11.4 9.3 -23.6 27.8 129 4 45 3.8 2.5 -25.6 26.0 130 4 46 -12.0 -21.1 -34.4 42.1 131 4 47 -17.2 -27.4 -35.6 48.1 132 4 48 -41.6 -40.4 -18.1 60.8 133 5 1 0.3 -17.3 -29.4 34.1 134 5 2 -25.9 -19.3 -33.5 46.5 135 5 3 -5.5 -15.1 -47.3 49.9 136 5 4 -0.9 -7.8 -30.1 31.1 137 5 5 -0.1 -1.1 -43.7 43.8 138 5 6 -12.1 -10.1 -37.2 40.4 139 5 7 3.9 24.3 -6.6 25.5 140 5 8 -8.7 20.1 -47.3 52.1 141 5 9 12.2 4.5 13.3 18.6 142 5 10 -8.3 7.8 -21.1 23.9 143 5 11 13.4 14.3 28.0 34.2 144 5 12 9.3 61.4 12.0 63.2 145 5 13 12.9 34.2 9.9 37.8 146 5 14 10.3 25.9 10.9 29.9 147 5 15 9.0 -1.3 -14.8 17.4 148 5 16 4.9 17.6 9.9 20.8 149 5 17 -15.4 23.3 46.7 54.5 150 5 18 3.8 -7.5 115.6 115.9 151 5 19 -13.7 -10.9 -36.4 40.4 152 5 20 -41.1 -23.4 -34.5 58.5 153 5 21 -6.6 -8.4 -25.2 27.4 154 5 22 -31.6 -11.4 -24.2 41.4 155 5 23 -42.5 -9.4 23.1 49.3 156 5 24 -0.2 -5.9 32.2 32.7 157 5 25 -7.2 -7.7 -5.0 11.6 158 5 26 -51.0 -21.9 2.0 55.5 159 5 27 -41.8 -30.7 -65.0 83.1 160 5 28 -31.3 -22.1 -28.2 47.6 161 5 29 -10.5 -19.6 -37.8 43.9 162 5 30 -22.6 -27.4 23.3 42.5 163 5 31 -41.3 -27.2 -31.7 58.7 164 5 32 -37.3 2.6 -15.8 40.6 165 5 33 5.3 33.0 8.4 34.5 166 5 34 -9.3 -2.4 -11.7 15.2 167 5 35 8.4 20.9 24.8 33.5 168 5 36 -4.5 30.3 17.8 35.4 169 5 37 11.0 53.0 -12.6 55.6 170 5 38 -26.8 6.3 -11.6 29.9 171 5 39 -0.2 42.6 11.3 44.1 172 5 40 -22.6 32.3 1.6 39.5 173 5 41 38.0 54.7 31.8 73.8 174 5 42 -17.4 11.0 -20.0 28.7 175 5 43 7.2 9.5 -27.9 30.4 176 5 44 0.6 12.4 -14.5 19.1 177 5 45 14.1 18.4 -14.2 27.2 178 5 46 0.9 -5.3 -21.4 22.1 179 5 47 -30.7 -24.3 13.7 41.5 180 5 48 -14.8 -3.1 -24.7 29.0 181 6 1 -41.5 -20.2 -30.5 55.3 182 6 2 -34.3 -34.5 -53.1 72.0 183 6 3 -53.3 -32.6 -71.4 94.8 184 6 4 -49.6 -23.5 -136.3 147.0 185 6 5 -23.2 -31.5 -79.5 88.7 186 6 6 -12.2 -19.2 -82.9 86.0 187 6 7 -7.2 -29.0 -50.1 58.3 188 6 8 -23.7 8.7 -24.3 35.0 189 6 9 -5.4 0.4 -34.3 34.7 190 6 10 -42.6 41.0 -12.1 60.3 191 6 11 45.3 28.4 26.9 59.8 192 6 12 30.4 27.8 10.6 42.6 193 6 13 28.7 27.4 -17.8 43.5 194 6 14 22.9 15.6 -12.2 30.3 195 6 15 -6.8 15.2 -25.4 30.4 196 6 16 -7.3 34.5 -52.0 62.8 197 6 17 -11.1 3.0 -29.2 31.4 198 6 18 3.9 3.8 -191.3 191.4 199 6 19 32.8 -15.2 -24.0 43.4 200 6 20 -27.2 7.0 30.7 41.6 201 6 21 -57.8 -8.5 -44.2 73.3 202 6 22 -7.4 78.4 -2.4 78.7 203 6 23 30.5 -1.5 43.9 53.5 204 6 24 1.4 8.8 19.1 21.1 205 6 25 -46.7 6.6 -19.8 51.2 206 6 26 -17.3 -21.6 -4.3 28.0 207 6 27 -68.9 -10.0 -30.8 76.1 208 6 28 -42.7 -23.7 -71.5 86.6 209 6 29 -69.6 24.6 -19.0 76.2 210 6 30 -29.9 4.0 63.1 69.9 211 6 31 -29.6 2.2 8.3 30.8 212 6 32 -34.7 -20.6 18.4 44.3 213 6 33 -37.6 29.0 -67.6 82.6 214 6 34 -62.6 43.7 -19.0 78.7 215 6 35 17.1 21.9 41.2 49.7 216 6 36 26.7 62.0 59.1 89.7 217 6 37 1.1 39.6 24.6 46.6 218 6 38 0.1 -1.0 -36.7 36.7 219 6 39 -1.9 36.2 4.4 36.6 220 6 40 29.5 38.7 -64.2 80.6 221 6 41 24.6 48.8 -6.4 55.0 222 6 42 42.5 27.9 2.0 50.9 223 6 43 29.4 24.8 59.7 71.0 224 6 44 28.4 26.1 28.3 47.8 225 6 45 19.2 49.2 -67.8 86.0 226 6 46 -49.2 34.8 -9.8 61.1 227 6 47 -11.0 3.2 8.6 14.3 228 6 48 -19.7 -16.1 1.8 25.5 229 7 1 -46.7 35.2 -7.8 59.0 230 7 2 -35.5 -25.0 -40.9 59.7 231 7 3 -47.8 -12.6 -49.3 69.8 232 7 4 -14.2 -92.2 6.3 93.5 233 7 5 -34.4 -47.1 -75.7 95.6 234 7 6 -66.6 -24.2 -97.1 120.2 235 7 7 -16.6 -35.1 -52.6 65.4 236 7 8 4.6 3.4 -43.7 44.1 237 7 9 47.4 -61.2 21.4 80.3 238 7 10 24.5 39.3 -17.8 49.6 239 7 11 38.8 29.1 1.1 48.5 240 7 12 15.4 43.5 49.1 67.4 241 7 13 -25.1 44.8 20.5 55.3 242 7 14 13.7 44.8 14.4 49.0 243 7 15 9.1 -3.3 -16.2 18.9 244 7 16 35.3 -71.7 -0.6 79.9 245 7 17 35.5 -18.2 -10.9 41.4 246 7 18 -21.2 50.4 -32.6 63.6 247 7 19 15.6 -2.9 39.1 42.2 248 7 20 23.8 -2.0 -2.6 24.1 249 7 21 29.6 -52.3 72.1 93.9 250 7 22 -6.9 56.5 38.1 68.5 251 7 23 91.9 28.8 89.1 131.2 252 7 24 27.8 89.4 119.5 151.8 253 7 25 86.5 83.1 99.7 156.0 254 7 26 10.7 42.1 83.8 94.4 255 7 27 -20.2 31.6 45.0 58.6 256 7 28 -18.1 -83.9 366.4 376.4 257 7 29 30.3 -40.2 56.4 75.6 258 7 30 -11.9 -4.3 36.9 39.0 259 7 31 -27.8 -3.0 -16.0 32.2 260 7 32 6.8 -32.8 -16.3 37.3 261 7 33 -10.4 -43.2 17.2 47.6 262 7 34 40.4 56.1 15.5 70.8 263 7 35 37.3 58.9 34.1 77.6 264 7 36 3.3 61.1 34.9 70.4 265 7 37 3.0 68.7 -2.7 68.8 266 7 38 -23.7 30.4 -58.4 69.9 267 7 39 30.5 79.0 -71.2 110.6 268 7 40 67.9 -19.6 48.2 85.5 269 7 41 54.8 30.3 45.9 77.6 270 7 42 54.8 16.5 18.0 60.0 271 7 43 -1.5 43.1 -21.3 48.1 272 7 44 32.5 38.6 17.0 53.3 273 7 45 -1.9 -7.1 73.0 73.4 274 7 46 44.9 29.2 40.9 67.4 275 7 47 25.7 54.2 -24.2 64.7 276 7 48 4.1 155.4 40.2 160.6 Creating sector-motor-move file sector motor steps 1 1 1 1 2 -28 1 3 -4 1 4 -41 1 5 -7 1 6 -15 1 7 -15 1 8 -3 1 9 -14 1 10 -21 1 11 -9 1 12 -16 1 13 -12 1 14 -7 1 15 -10 1 16 -16 1 17 -10 1 18 -10 1 19 -2 1 20 10 1 21 -14 1 22 -9 1 23 -6 1 24 -12 1 25 -9 1 26 -2 1 27 0 1 28 -22 1 29 -1 1 30 1 1 31 -14 1 32 -4 1 33 -1 1 34 -9 1 35 -6 1 36 -4 1 37 -10 1 38 -5 1 39 -7 1 40 -18 1 41 -9 1 42 -1 1 43 -9 1 44 -5 1 45 0 1 46 4 1 47 -11 1 48 -7 1 49 -7 1 50 -1 1 51 -1 1 52 -7 1 53 -7 1 54 10 1 55 -8 1 56 -2 1 57 -4 1 58 9 1 59 16 1 60 3 1 61 -5 1 62 -5 1 63 -3 1 64 -7 1 65 10 1 66 -9 1 67 1 1 68 -3 1 69 1 2 1 -13 2 2 1 2 3 1 2 4 -7 2 5 2 2 6 -7 2 7 -16 2 8 -10 2 9 -5 2 10 -15 2 11 -8 2 12 -2 2 13 -29 2 14 -7 2 15 -20 2 16 -25 2 17 -5 2 18 -3 2 19 -23 2 20 -14 2 21 -10 2 22 -24 2 23 -9 2 24 -7 2 25 -14 2 26 6 2 27 -2 2 28 -9 2 29 3 2 30 -4 2 31 -2 2 32 7 2 33 1 2 34 -3 2 35 -3 2 36 4 2 37 -11 2 38 -3 2 39 -3 2 40 -8 2 41 -1 2 42 4 2 43 -13 2 44 0 2 45 0 2 46 -10 2 47 0 2 48 3 2 49 -4 2 50 3 2 51 1 2 52 -1 2 53 -5 2 54 14 2 55 -4 2 56 3 2 57 -2 2 58 3 2 59 23 2 60 10 2 61 -5 2 62 0 2 63 -2 2 64 1 2 65 15 2 66 -8 2 67 1 2 68 0 2 69 1 3 1 15 3 2 13 3 3 4 3 4 3 3 5 8 3 6 9 3 7 0 3 8 8 3 9 11 3 10 8 3 11 8 3 12 13 3 13 -5 3 14 12 3 15 7 3 16 -3 3 17 12 3 18 -13 3 19 6 3 20 -18 3 21 14 3 22 -10 3 23 0 3 24 -1 3 25 3 3 26 18 3 27 2 3 28 -18 3 29 17 3 30 -3 3 31 8 3 32 4 3 33 4 3 34 -13 3 35 -5 3 36 4 3 37 -6 3 38 2 3 39 -2 3 40 -9 3 41 1 3 42 -2 3 43 4 3 44 1 3 45 3 3 46 -2 3 47 -2 3 48 1 3 49 -8 3 50 -1 3 51 2 3 52 10 3 53 2 3 54 16 3 55 -2 3 56 0 3 57 4 3 58 4 3 59 27 3 60 11 3 61 -7 3 62 -1 3 63 6 3 64 -1 3 65 19 3 66 2 3 67 -1 3 68 14 3 69 0 4 1 0 4 2 -21 4 3 10 4 4 -15 4 5 10 4 6 -2 4 7 -4 4 8 -1 4 9 2 4 10 -7 4 11 4 4 12 -2 4 13 4 4 14 13 4 15 4 4 16 -3 4 17 4 4 18 7 4 19 6 4 20 13 4 21 -7 4 22 -5 4 23 8 4 24 8 4 25 3 4 26 5 4 27 1 4 28 -5 4 29 0 4 30 -11 4 31 -4 4 32 0 4 33 2 4 34 -6 4 35 -5 4 36 -10 4 37 3 4 38 7 4 39 3 4 40 -12 4 41 -3 4 42 4 4 43 3 4 44 10 4 45 3 4 46 18 4 47 -7 4 48 -3 4 49 -6 4 50 1 4 51 -1 4 52 -4 4 53 3 4 54 28 4 55 -11 4 56 0 4 57 7 4 58 16 4 59 36 4 60 12 4 61 -6 4 62 2 4 63 -1 4 64 -2 4 65 8 4 66 6 4 67 -6 4 68 0 4 69 1 5 1 0 5 2 0 5 3 7 5 4 9 5 5 2 5 6 -8 5 7 11 5 8 0 5 9 4 5 10 -7 5 11 -4 5 12 10 5 13 -10 5 14 15 5 15 -6 5 16 -58 5 17 1 5 18 1 5 19 -3 5 20 -5 5 21 10 5 22 -8 5 23 0 5 24 -3 5 25 -10 5 26 -7 5 27 -12 5 28 -13 5 29 -2 5 30 2 5 31 -11 5 32 -3 5 33 -4 5 34 -7 5 35 -5 5 36 -1 5 37 35 5 38 -2 5 39 1 5 40 4 5 41 -4 5 42 3 5 43 14 5 44 7 5 45 -4 5 46 -8 5 47 -4 5 48 -6 5 49 -10 5 50 2 5 51 6 5 52 5 5 53 1 5 54 13 5 55 -2 5 56 2 5 57 4 5 58 7 5 59 25 5 60 17 5 61 -8 5 62 0 5 63 9 5 64 -3 5 65 16 5 66 2 5 67 -1 5 68 0 5 69 -7 6 1 36 6 2 27 6 3 8 6 4 5 6 5 2 6 6 0 6 7 27 6 8 8 6 9 28 6 10 13 6 11 0 6 12 9 6 13 11 6 14 17 6 15 -2 6 16 0 6 17 24 6 18 -2 6 19 22 6 20 -16 6 21 9 6 22 -13 6 23 -2 6 24 -17 6 25 9 6 26 -1 6 27 0 6 28 -2 6 29 -8 6 30 -16 6 31 7 6 32 -2 6 33 -13 6 34 -7 6 35 -11 6 36 -14 6 37 -7 6 38 -3 6 39 -9 6 40 25 6 41 -9 6 42 -20 6 43 -7 6 44 -2 6 45 -2 6 46 -9 6 47 -6 6 48 -8 6 49 -9 6 50 0 6 51 -1 6 52 -7 6 53 -4 6 54 7 6 55 -4 6 56 0 6 57 0 6 58 14 6 59 26 6 60 13 6 61 -8 6 62 -3 6 63 -4 6 64 2 6 65 10 6 66 -1 6 67 -7 6 68 -4 6 69 3 7 1 100 7 2 -25 7 3 -5 7 4 -21 7 5 -7 7 6 -13 7 7 13 7 8 9 7 9 -6 7 10 -9 7 11 -3 7 12 -21 7 13 25 7 14 12 7 15 3 7 16 -1 7 17 -6 7 18 -5 7 19 30 7 20 25 7 21 26 7 22 -6 7 23 2 7 24 -14 7 25 -8 7 26 -6 7 27 -9 7 28 -8 7 29 -11 7 30 -13 7 31 -19 7 32 -9 7 33 -12 7 34 -4 7 35 -8 7 36 -12 7 37 0 7 38 -6 7 39 -15 7 40 -20 7 41 -15 7 42 -12 7 43 -1 7 44 -2 7 45 -2 7 46 0 7 47 -7 7 48 -23 7 49 -14 7 50 -7 7 51 -12 7 52 -1 7 53 -8 7 54 3 7 55 -8 7 56 -6 7 57 -9 7 58 14 7 59 12 7 60 7 7 61 -9 7 62 -5 7 63 -3 7 64 -5 7 65 9 7 66 -3 7 67 -15 7 68 -7 7 69 -3 8 1 -4 8 2 -10 8 3 2 8 4 5 8 5 -6 8 6 -10 8 7 -4 8 8 0 8 9 -8 8 10 2 8 11 0 8 12 -9 8 13 11 8 14 -1 8 15 -3 8 16 19 8 17 1 8 18 -9 8 19 17 8 20 -12 8 21 9 8 22 -5 8 23 7 8 24 -21 8 25 -4 8 26 0 8 27 -11 8 28 -1 8 29 -3 8 30 -13 8 31 -9 8 32 -8 8 33 -12 8 34 -7 8 35 -7 8 36 -11 8 37 7 8 38 -8 8 39 -6 8 40 -3 8 41 -9 8 42 -12 8 43 -11 8 44 -6 8 45 -3 8 46 -26 8 47 -7 8 48 -19 8 49 -10 8 50 -4 8 51 -11 8 52 -6 8 53 -4 8 54 9 8 55 -11 8 56 -8 8 57 -7 8 58 13 8 59 12 8 60 12 8 61 -5 8 62 -9 8 63 -8 8 64 -5 8 65 10 8 66 -14 8 67 -12 8 68 -5 8 69 -7 9 1 10 9 2 18 9 3 1 9 4 18 9 5 19 9 6 8 9 7 10 9 8 18 9 9 11 9 10 12 9 11 6 9 12 5 9 13 4 9 14 17 9 15 12 9 16 -5 9 17 13 9 18 -19 9 19 5 9 20 -13 9 21 -3 9 22 -20 9 23 8 9 24 -11 9 25 5 9 26 9 9 27 -1 9 28 -9 9 29 1 9 30 -13 9 31 7 9 32 6 9 33 2 9 34 -16 9 35 0 9 36 -3 9 37 -3 9 38 0 9 39 -2 9 40 -6 9 41 0 9 42 -1 9 43 2 9 44 10 9 45 1 9 46 -2 9 47 0 9 48 -14 9 49 -12 9 50 0 9 51 2 9 52 -9 9 53 -1 9 54 10 9 55 2 9 56 0 9 57 1 9 58 5 9 59 5 9 60 5 9 61 0 9 62 -3 9 63 0 9 64 -4 9 65 6 9 66 -5 9 67 -5 9 68 -3 9 69 4 10 1 14 10 2 -6 10 3 20 10 4 -19 10 5 11 10 6 9 10 7 -21 10 8 24 10 9 9 10 10 1 10 11 11 10 12 0 10 13 -17 10 14 9 10 15 -7 10 16 -11 10 17 0 10 18 0 10 19 0 10 20 21 10 21 0 10 22 7 10 23 12 10 24 0 10 25 0 10 26 9 10 27 -6 10 28 -10 10 29 2 10 30 2 10 31 3 10 32 13 10 33 0 10 34 -2 10 35 -2 10 36 -5 10 37 -3 10 38 1 10 39 -8 10 40 -20 10 41 -6 10 42 -1 10 43 -3 10 44 16 10 45 3 10 46 -6 10 47 4 10 48 -6 10 49 -9 10 50 -5 10 51 0 10 52 -6 10 53 -5 10 54 11 10 55 -6 10 56 0 10 57 -2 10 58 8 10 59 20 10 60 7 10 61 -15 10 62 -4 10 63 -3 10 64 2 10 65 1 10 66 -6 10 67 -12 10 68 1 10 69 0 11 1 5 11 2 11 11 3 9 11 4 8 11 5 8 11 6 8 11 7 -6 11 8 13 11 9 0 11 10 18 11 11 7 11 12 9 11 13 5 11 14 5 11 15 16 11 16 0 11 17 8 11 18 13 11 19 14 11 20 9 11 21 16 11 22 -1 11 23 14 11 24 7 11 25 -4 11 26 3 11 27 0 11 28 -7 11 29 2 11 30 -3 11 31 -8 11 32 2 11 33 2 11 34 -9 11 35 0 11 36 -8 11 37 -6 11 38 3 11 39 -5 11 40 -11 11 41 1 11 42 -2 11 43 9 11 44 16 11 45 11 11 46 -7 11 47 10 11 48 -4 11 49 -9 11 50 0 11 51 -3 11 52 -17 11 53 -16 11 54 12 11 55 -4 11 56 0 11 57 4 11 58 14 11 59 25 11 60 13 11 61 -4 11 62 0 11 63 2 11 64 -7 11 65 11 11 66 -6 11 67 -4 11 68 -6 11 69 1 12 1 12 12 2 47 12 3 1 12 4 0 12 5 -4 12 6 -6 12 7 -7 12 8 16 12 9 7 12 10 2 12 11 0 12 12 -3 12 13 12 12 14 8 12 15 13 12 16 -3 12 17 10 12 18 -15 12 19 22 12 20 -2 12 21 0 12 22 -20 12 23 15 12 24 5 12 25 -7 12 26 0 12 27 -4 12 28 -5 12 29 -12 12 30 -12 12 31 4 12 32 -7 12 33 -9 12 34 -10 12 35 -8 12 36 -5 12 37 -6 12 38 -1 12 39 0 12 40 -10 12 41 -6 12 42 -3 12 43 -4 12 44 5 12 45 4 12 46 -7 12 47 0 12 48 1 12 49 -13 12 50 -10 12 51 -16 12 52 -9 12 53 -9 12 54 10 12 55 -12 12 56 -7 12 57 -6 12 58 6 12 59 25 12 60 8 12 61 -13 12 62 -6 12 63 -1 12 64 -12 12 65 21 12 66 -8 12 67 -20 12 68 -9 12 69 -9 !!!Warning!!! Truncated 1 recommended moves exceeding 100 steps !!!Warning!!! sector 7 motor 1:: move = 112 Adjuster movements: rms = 36.8 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20071003-151741 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1