Reduction started at: 20070828-144101 Reading data from /net/moana/export/data/janw/janw/rxh3/rxh3-20070822-135609.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 = 2403.3 max = 2427.9 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 34.038 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 -3.22266 3.24463 0.01927 loimag -3.40332 3.23242 -0.03020 hireal -5.00000 4.99756 0.62066 hiimag -5.00000 4.99756 -0.23002 xpos -2427.85551 2420.94652 -7.05706 ypos -2403.33889 2403.30102 0.00223 plock160 1.35742 2.97363 1.95117 lorefpwr 0.46631 1.60645 1.23224 losigpwr -4.56543 0.02441 -4.39514 hirefpwr 0.52734 1.66504 1.28184 hisigpwr -4.47021 4.99756 -0.69407 encltemp 32.22656 34.98535 32.82008 flags 0.00000 256.00000 2.76739 phi-lock -1.00098 0.90820 -0.49444 sindex 0.00000 128.00000 63.61104 time 0.00000 2947.99477 1473.09630 zeropt 0.18066 1.22803 0.32484 ---------------------------------------------------- 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 = 40.00654 arcsec Mean row spacing = 40.00656 arcsec (alternate estimator) Mean tracking incline = -0.05620 arcsec Mean pointing range = 0.72660 arcsec Mean pointing rms = 0.13741 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (12.1, 12.8 ) 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: 2 0 0 0 0 0 0 0 4000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22681 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22681 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 = 2427.86 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 = 3.43943 at (-40.010952902519172, 0.0) arcsec Real: mean = -0.000455235 sum of squares = 1814.04 Imag: mean = -0.00310961 sum of squares = 1807.57 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 = 3.60427 at (0.0, 0.0) arcsec Real: mean = 0.000368826 sum of squares = 3120.44 Imag: mean = -0.00286508 sum of squares = 3011.81 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 = 3.67041 at (0.0, 0.0) arcsec Real: mean = 0.000627381 sum of squares = 3205.52 Imag: mean = -0.00281797 sum of squares = 3017.95 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 = 3.73586 at (0.0, 0.0) arcsec Real: mean = 0.000914995 sum of squares = 3159.57 Imag: mean = -0.00248298 sum of squares = 2925.97 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 = 3.72373 at (0.0, -40.007965152457999) arcsec Real: mean = 0.00103404 sum of squares = 2969.07 Imag: mean = -0.00200112 sum of squares = 2843.77 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 = 3.6955 at (0.0, -40.00746723749549) arcsec Real: mean = 0.00091958 sum of squares = 2788.52 Imag: mean = -0.0020187 sum of squares = 2756.13 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 = 3.64023 at (0.0, -40.006969334926325) arcsec Real: mean = 0.000789994 sum of squares = 2664.25 Imag: mean = -0.00183955 sum of squares = 2723.06 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 = 3.47404 at (0.0, -40.005973566966176) arcsec Real: mean = 0.000437836 sum of squares = 2535.2 Imag: mean = -0.00148749 sum of squares = 2718.57 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 = 3.45672 at (40.004977848573851, -40.004977848573851) arcsec Real: mean = -9.50232e-05 sum of squares = 2409.87 Imag: mean = -0.00130916 sum of squares = 2579.08 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 = 3.40813 at (40.004480007964467, -40.004480007964467) arcsec Real: mean = -0.000417137 sum of squares = 2320.89 Imag: mean = -0.00136128 sum of squares = 2431.29 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 = 3.35552 at (40.003982179745641, -40.003982179745641) arcsec Real: mean = -0.0006416 sum of squares = 2286.82 Imag: mean = -0.00138991 sum of squares = 2318.92 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 = 3.22048 at (40.002986560477851, -40.002986560477851) arcsec Real: mean = -0.00130555 sum of squares = 2297.97 Imag: mean = -0.00164541 sum of squares = 2168.96 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 = 3.06224 at (80.003981981533585, 0.0) arcsec Real: mean = -0.00190607 sum of squares = 2205.43 Imag: mean = -0.00239589 sum of squares = 2011.01 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 = 3.02089 at (80.002986448987727, 0.0) arcsec Real: mean = -0.00209849 sum of squares = 2078.67 Imag: mean = -0.00278616 sum of squares = 1908.58 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 = 2.97913 at (-40.000995470608736, 0.0) arcsec Real: mean = -0.00215725 sum of squares = 1985.18 Imag: mean = -0.0034125 sum of squares = 1872.65 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 = 3.14284 at (-40.0, 0.0) arcsec Real: mean = -0.00194743 sum of squares = 1840.82 Imag: mean = -0.00405607 sum of squares = 1905.62 Masking frequency index 0 Mask scale size = 3.06014 Masking frequency index 1 Mask scale size = 3.06018 Masking frequency index 2 Mask scale size = 3.06022 Masking frequency index 3 Mask scale size = 3.0603 Masking frequency index 4 Mask scale size = 3.06037 Masking frequency index 5 Mask scale size = 3.06041 Masking frequency index 6 Mask scale size = 3.06045 Masking frequency index 7 Mask scale size = 3.06052 Masking frequency index 8 Mask scale size = 3.0606 Masking frequency index 9 Mask scale size = 3.06064 Masking frequency index 10 Mask scale size = 3.06068 Masking frequency index 11 Mask scale size = 3.06075 Masking frequency index 12 Mask scale size = 3.06083 Masking frequency index 13 Mask scale size = 3.06087 Masking frequency index 14 Mask scale size = 3.06091 Masking frequency index 15 Mask scale size = 3.06098 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.170898 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.166016 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.175781 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 1.19385 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.227051 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.219727 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.166016 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 1.64307 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.0146484 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.195312 Median point-to-point PLL voltage change: 0.0146484 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -1.9345 100.52 Freq 1: Shift, scale = -2.1662 101.48 Freq 2: Shift, scale = -2.3876 102.81 Freq 3: Shift, scale = -2.826 105.21 Freq 4: Shift, scale = 3.0234 106.94 Freq 5: Shift, scale = 2.8077 107.34 Freq 6: Shift, scale = 2.592 107.62 Freq 7: Shift, scale = 2.1711 107.59 Freq 8: Shift, scale = 1.7435 106.3 Freq 9: Shift, scale = 1.5313 105.39 Freq 10: Shift, scale = 1.3186 104.41 Freq 11: Shift, scale = 0.89244 102.26 Freq 12: Shift, scale = 0.45809 100.48 Freq 13: Shift, scale = 0.23842 99.936 Freq 14: Shift, scale = 0.019107 99.309 Freq 15: Shift, scale = -0.42573 98.967 Calculating phase corrections for index 0 Calculating phase corrections for index 1 Calculating phase corrections for index 2 Calculating phase corrections for index 3 Calculating phase corrections for index 4 Calculating phase corrections for index 5 Calculating phase corrections for index 6 Calculating phase corrections for index 7 Calculating phase corrections for index 8 Calculating phase corrections for index 9 Calculating phase corrections for index 10 Calculating phase corrections for index 11 Calculating phase corrections for index 12 Calculating phase corrections for index 13 Calculating phase corrections for index 14 Calculating phase corrections for index 15 Apply near field corrections for frequency 0 Apply secondary diffraction correction for frequency 0 Apply near field corrections for frequency 1 Apply secondary diffraction correction for frequency 1 Apply near field corrections for frequency 2 Apply secondary diffraction correction for frequency 2 Apply near field corrections for frequency 3 Apply secondary diffraction correction for frequency 3 Apply near field corrections for frequency 4 Apply secondary diffraction correction for frequency 4 Apply near field corrections for frequency 5 Apply secondary diffraction correction for frequency 5 Apply near field corrections for frequency 6 Apply secondary diffraction correction for frequency 6 Apply near field corrections for frequency 7 Apply secondary diffraction correction for frequency 7 Apply near field corrections for frequency 8 Apply secondary diffraction correction for frequency 8 Apply near field corrections for frequency 9 Apply secondary diffraction correction for frequency 9 Apply near field corrections for frequency 10 Apply secondary diffraction correction for frequency 10 Apply near field corrections for frequency 11 Apply secondary diffraction correction for frequency 11 Apply near field corrections for frequency 12 Apply secondary diffraction correction for frequency 12 Apply near field corrections for frequency 13 Apply secondary diffraction correction for frequency 13 Apply near field corrections for frequency 14 Apply secondary diffraction correction for frequency 14 Apply near field corrections for frequency 15 Apply secondary diffraction correction for frequency 15 Fitting piston, pointing and defocus terms Fitting frequency 0 Minimiser fit code = 1 piston: -1.04 radians x offset: 17.3 arcsec y offset: 1.53 arcsec defocus: -0.564 mm Estimated x pointing error is 29.37 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.33 arcsec (used 12.8 arcsec) Estimated defocus error is 2.474 mm (used 3.038 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 1 Minimiser fit code = 1 piston: -1.43 radians x offset: 25.8 arcsec y offset: 2.04 arcsec defocus: -0.894 mm Estimated x pointing error is 37.93 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 14.84 arcsec (used 12.8 arcsec) Estimated defocus error is 2.144 mm (used 3.038 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 2 Minimiser fit code = 1 piston: 0.621 radians x offset: -18.5 arcsec y offset: -1.47 arcsec defocus: 0.889 mm Estimated x pointing error is -6.367 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 11.33 arcsec (used 12.8 arcsec) Estimated defocus error is 3.927 mm (used 3.038 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 3 Minimiser fit code = 1 piston: 0.406 radians x offset: -13.9 arcsec y offset: -1.06 arcsec defocus: 0.704 mm Estimated x pointing error is -1.814 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 11.74 arcsec (used 12.8 arcsec) Estimated defocus error is 3.742 mm (used 3.038 mm) !!!Warning!!! Defocus error > 0.5 mm Fitting frequency 4 Minimiser fit code = 1 piston: 0.188 radians x offset: -9.92 arcsec y offset: -0.78 arcsec defocus: 0.487 mm Estimated x pointing error is 2.176 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 12.02 arcsec (used 12.8 arcsec) Estimated defocus error is 3.525 mm (used 3.038 mm) Fitting frequency 5 Minimiser fit code = 1 piston: 0.0818 radians x offset: -7.6 arcsec y offset: -0.58 arcsec defocus: 0.382 mm Estimated x pointing error is 4.5 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 12.22 arcsec (used 12.8 arcsec) Estimated defocus error is 3.42 mm (used 3.038 mm) Fitting frequency 6 Minimiser fit code = 1 piston: -0.0136 radians x offset: -5.57 arcsec y offset: -0.348 arcsec defocus: 0.293 mm Estimated x pointing error is 6.526 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 12.45 arcsec (used 12.8 arcsec) Estimated defocus error is 3.331 mm (used 3.038 mm) Fitting frequency 7 Minimiser fit code = 1 piston: -0.179 radians x offset: -1.91 arcsec y offset: -0.0656 arcsec defocus: 0.124 mm Estimated x pointing error is 10.19 arcsec (used 12.1 arcsec) Estimated y pointing error is 12.73 arcsec (used 12.8 arcsec) Estimated defocus error is 3.162 mm (used 3.038 mm) Fitting frequency 8 Minimiser fit code = 1 piston: -0.286 radians x offset: 0.00347 arcsec y offset: -0.0261 arcsec defocus: 0.00014 mm Estimated x pointing error is 12.1 arcsec (used 12.1 arcsec) Estimated y pointing error is 12.77 arcsec (used 12.8 arcsec) Estimated defocus error is 3.038 mm (used 3.038 mm) Fitting frequency 9 Minimiser fit code = 1 piston: -0.361 radians x offset: 1.85 arcsec y offset: 0.126 arcsec defocus: -0.0673 mm Estimated x pointing error is 13.95 arcsec (used 12.1 arcsec) Estimated y pointing error is 12.93 arcsec (used 12.8 arcsec) Estimated defocus error is 2.971 mm (used 3.038 mm) Fitting frequency 10 Minimiser fit code = 1 piston: -0.432 radians x offset: 3.6 arcsec y offset: 0.27 arcsec defocus: -0.133 mm Estimated x pointing error is 15.7 arcsec (used 12.1 arcsec) Estimated y pointing error is 13.07 arcsec (used 12.8 arcsec) Estimated defocus error is 2.905 mm (used 3.038 mm) Fitting frequency 11 Minimiser fit code = 1 piston: -0.371 radians x offset: 2.34 arcsec y offset: 0.565 arcsec defocus: -0.0973 mm Estimated x pointing error is 14.44 arcsec (used 12.1 arcsec) Estimated y pointing error is 13.36 arcsec (used 12.8 arcsec) Estimated defocus error is 2.941 mm (used 3.038 mm) Fitting frequency 12 Minimiser fit code = 3 piston: -0.49 radians x offset: 5.2 arcsec y offset: 0.713 arcsec defocus: -0.196 mm Estimated x pointing error is 17.3 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.51 arcsec (used 12.8 arcsec) Estimated defocus error is 2.842 mm (used 3.038 mm) Fitting frequency 13 Minimiser fit code = 1 piston: -0.523 radians x offset: 6.14 arcsec y offset: 0.822 arcsec defocus: -0.214 mm Estimated x pointing error is 18.24 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.62 arcsec (used 12.8 arcsec) Estimated defocus error is 2.824 mm (used 3.038 mm) Fitting frequency 14 Minimiser fit code = 1 piston: -0.588 radians x offset: 7.33 arcsec y offset: 0.909 arcsec defocus: -0.278 mm Estimated x pointing error is 19.43 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.71 arcsec (used 12.8 arcsec) Estimated defocus error is 2.76 mm (used 3.038 mm) Fitting frequency 15 Minimiser fit code = 1 piston: -0.621 radians x offset: 8.6 arcsec y offset: 0.882 arcsec defocus: -0.274 mm Estimated x pointing error is 20.7 arcsec (used 12.1 arcsec) !!!Warning!!! Pointing error in azimuth > 5.0 arcsec Estimated y pointing error is 13.68 arcsec (used 12.8 arcsec) Estimated defocus error is 2.764 mm (used 3.038 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 0.11270 piston 1 1 0.54795 tilt_x 1 -1 -0.07621 tilt_y 2 2 -0.42183 astigmatism_0 2 0 -0.01546 curvature 2 -2 0.07588 astigmatism45 3 3 -0.41456 trefoil_0 3 1 0.90648 coma_x 3 -1 -0.07048 coma_y 3 -3 0.00860 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 0.21940 piston 1 1 0.94821 tilt_x 1 -1 -0.12302 tilt_y 2 2 -0.63340 astigmatism_0 2 0 -0.10540 curvature 2 -2 0.07551 astigmatism45 3 3 -0.63001 trefoil_0 3 1 1.30114 coma_x 3 -1 -0.09601 coma_y 3 -3 0.02010 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 -0.24965 piston 1 1 -1.08029 tilt_x 1 -1 0.15121 tilt_y 2 2 0.80506 astigmatism_0 2 0 0.15291 curvature 2 -2 -0.00987 astigmatism45 3 3 0.58760 trefoil_0 3 1 -1.49246 coma_x 3 -1 0.12882 coma_y 3 -3 -0.13867 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 -0.20087 piston 1 1 -0.87245 tilt_x 1 -1 0.11842 tilt_y 2 2 0.65882 astigmatism_0 2 0 0.12322 curvature 2 -2 0.00509 astigmatism45 3 3 0.47184 trefoil_0 3 1 -1.21323 coma_x 3 -1 0.09576 coma_y 3 -3 -0.11586 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 -0.15570 piston 1 1 -0.67152 tilt_x 1 -1 0.09381 tilt_y 2 2 0.54148 astigmatism_0 2 0 0.08977 curvature 2 -2 0.00877 astigmatism45 3 3 0.38738 trefoil_0 3 1 -0.93179 coma_x 3 -1 0.07546 coma_y 3 -3 -0.11013 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 -0.13314 piston 1 1 -0.57790 tilt_x 1 -1 0.07998 tilt_y 2 2 0.48479 astigmatism_0 2 0 0.07575 curvature 2 -2 0.01756 astigmatism45 3 3 0.31199 trefoil_0 3 1 -0.81363 coma_x 3 -1 0.06161 coma_y 3 -3 -0.10084 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 -0.11094 piston 1 1 -0.48194 tilt_x 1 -1 0.06625 tilt_y 2 2 0.41740 astigmatism_0 2 0 0.06238 curvature 2 -2 0.03071 astigmatism45 3 3 0.25590 trefoil_0 3 1 -0.68366 coma_x 3 -1 0.04814 coma_y 3 -3 -0.08621 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 -0.07266 piston 1 1 -0.30737 tilt_x 1 -1 0.04464 tilt_y 2 2 0.30138 astigmatism_0 2 0 0.04023 curvature 2 -2 0.03624 astigmatism45 3 3 0.16757 trefoil_0 3 1 -0.43213 coma_x 3 -1 0.02937 coma_y 3 -3 -0.07671 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 -0.05090 piston 1 1 -0.20270 tilt_x 1 -1 0.03666 tilt_y 2 2 0.24952 astigmatism_0 2 0 0.02525 curvature 2 -2 0.02458 astigmatism45 3 3 0.13596 trefoil_0 3 1 -0.27320 coma_x 3 -1 0.03103 coma_y 3 -3 -0.08801 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 -0.03169 piston 1 1 -0.12006 tilt_x 1 -1 0.02582 tilt_y 2 2 0.18440 astigmatism_0 2 0 0.01647 curvature 2 -2 0.02828 astigmatism45 3 3 0.08331 trefoil_0 3 1 -0.15693 coma_x 3 -1 0.02316 coma_y 3 -3 -0.07974 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 -0.01389 piston 1 1 -0.04107 tilt_x 1 -1 0.01592 tilt_y 2 2 0.12294 astigmatism_0 2 0 0.00926 curvature 2 -2 0.03111 astigmatism45 3 3 0.03516 trefoil_0 3 1 -0.04062 coma_x 3 -1 0.01657 coma_y 3 -3 -0.07320 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 -0.02504 piston 1 1 -0.09167 tilt_x 1 -1 0.00938 tilt_y 2 2 0.17127 astigmatism_0 2 0 0.01279 curvature 2 -2 0.07241 astigmatism45 3 3 0.08439 trefoil_0 3 1 -0.11519 coma_x 3 -1 -0.01779 coma_y 3 -3 -0.02735 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 0.00323 piston 1 1 0.03449 tilt_x 1 -1 -0.00269 tilt_y 2 2 0.06299 astigmatism_0 2 0 0.00356 curvature 2 -2 0.06531 astigmatism45 3 3 -0.00918 trefoil_0 3 1 0.07333 coma_x 3 -1 -0.01531 coma_y 3 -3 -0.02843 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 0.01183 piston 1 1 0.07191 tilt_x 1 -1 -0.00988 tilt_y 2 2 0.02342 astigmatism_0 2 0 0.00237 curvature 2 -2 0.07077 astigmatism45 3 3 -0.04364 trefoil_0 3 1 0.12931 coma_x 3 -1 -0.02368 coma_y 3 -3 -0.01976 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 0.02332 piston 1 1 0.13308 tilt_x 1 -1 -0.01790 tilt_y 2 2 -0.01345 astigmatism_0 2 0 -0.00126 curvature 2 -2 0.06938 astigmatism45 3 3 -0.06950 trefoil_0 3 1 0.23498 coma_x 3 -1 -0.03160 coma_y 3 -3 -0.01900 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 0.03410 piston 1 1 0.17877 tilt_x 1 -1 -0.02072 tilt_y 2 2 -0.07655 astigmatism_0 2 0 -0.00006 curvature 2 -2 0.05800 astigmatism45 3 3 -0.12732 trefoil_0 3 1 0.30166 coma_x 3 -1 -0.02157 coma_y 3 -3 -0.02635 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: 53.6 73.9 97 130 139 143 168 143 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 97.8 161 207 228 212 169 147 190 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 52.1 96.4 118 115 90.3 82.5 165 118 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 69.3 106 144 195 212 232 266 225 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 135 234 301 334 319 262 216 281 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 74.8 138 169 166 132 123 242 172 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 51.8 97.1 137 189 214 253 293 243 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 122 247 315 349 331 274 214 293 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 85.9 159 195 192 152 142 276 199 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 43.7 104 119 159 177 206 241 201 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 98.8 204 257 287 270 221 178 240 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 69.8 129 158 156 124 115 224 161 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.5 89.1 95.9 138 147 165 196 163 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 75.1 156 200 230 215 177 148 191 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 53.6 99.3 122 120 97.6 94.3 178 127 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.1 75.6 88.9 126 128 141 170 142 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 64.1 132 172 204 186 151 131 166 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 46.8 86.7 106 105 85.5 82.4 155 111 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.1 63.5 81.9 119 114 122 148 125 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 54.2 110 145 179 160 129 116 143 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 39.3 72.8 89.5 88.6 72.3 70.2 131 93.8 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 56.3 63.2 109 95.2 88.4 111 97.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 42.5 77.6 96.8 140 115 91.2 94.5 106 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.9 46.1 56.8 56.9 48.3 49.7 88.4 62.5 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 43.5 52.5 54.6 109 80.1 72.9 95.8 85.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 44.8 61.8 71.7 120 89.2 73.2 87 88.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 15.8 29.4 36.6 37.8 35.5 41 66.7 46 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 46.6 50.4 52.7 104 73.4 61.6 83.7 77.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 46.2 52.5 58.1 108 75 59.1 80.2 77.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 9.14 17.1 21.6 23.2 24.1 29.9 46 31.1 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 49.3 49.3 52.5 103 68.2 56.4 76.7 73.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 49 49 52.1 103 66.2 52.7 74.9 71.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.6 5.21 7.5 10.3 14.4 20.2 28.4 18.6 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 51.5 45.9 52.1 93.8 71 60.2 77.5 72.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 51.2 47 55.4 94.2 71.8 58.2 75.6 71.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 6.75 12.8 16.5 19 21.8 28.4 41.4 27.8 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 52.1 46.7 56.2 90.7 71.2 54.2 76.6 70.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 53 49.1 58.5 92.2 71.2 52 75.8 71 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 4.31 8.09 10.3 11.1 11.3 13.5 20.4 14.1 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 50 46.4 58.1 90.4 75.9 55.7 78.7 72.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 52.2 53 64.4 95.1 78.4 55.4 77.5 74.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 7.54 14 17.2 16.9 13.6 12.6 24.1 17.3 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 47 51.4 62.3 91.4 78.4 59.8 80.8 75.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 52.6 66 77.6 105 88.1 61 77.4 81.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 13.6 25.1 30.6 29.5 21.3 15 37.2 27.4 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 38.9 51.6 66.1 90.1 81.8 65.3 88.5 79.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 50.7 75.2 91.6 109 99.2 70.5 83.6 90.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 17.3 32 39.1 37.7 28 22.4 50.5 36.6 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 29.5 28.6 30.8 39.4 42.2 53.2 62.9 51.6 Mean deviation is -16.052018913208528 microns Taper = 10 dB, Ruze illumination-weighted rms = 49.8 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 = 41.1 micron Centre pixel: 64.0 64.0 Value = 1980.61 (estimate), 3708.08 (perfect) Strehl = 0.285298 Strehl ratio estimate = 0.3021 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 = 37.6 micron Centre pixel: 64.0 64.0 Value = 1356.5 (estimate), 3708.08 (perfect) Strehl = 0.133827 Strehl ratio estimate = 0.1599 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 25.2 -1.5 -15.0 29.4 2 1 2 53.9 -11.9 9.3 56.0 3 1 3 89.4 -44.0 -53.1 112.9 4 1 4 83.0 16.0 2.5 84.5 5 1 5 51.2 -11.9 24.2 57.8 6 1 6 58.4 17.4 20.8 64.4 7 1 7 8.7 26.7 -1.9 28.2 8 1 8 7.3 16.2 11.8 21.3 9 1 9 -13.8 -9.9 -10.5 20.0 10 1 10 49.0 -3.1 -4.4 49.3 11 1 11 60.0 33.1 13.2 69.8 12 1 12 55.2 -8.5 -0.2 55.9 13 2 1 -0.3 -76.3 -61.0 97.7 14 2 2 -2.4 -59.3 -56.5 81.9 15 2 3 13.0 -60.1 -75.8 97.6 16 2 4 8.4 -55.3 -54.6 78.2 17 2 5 20.9 -59.3 -35.0 72.0 18 2 6 34.0 -58.9 9.8 68.8 19 2 7 -17.2 -60.1 -32.0 70.2 20 2 8 29.2 -54.0 -61.6 87.0 21 2 9 13.3 -52.9 -37.0 65.9 22 2 10 5.6 -38.2 -8.3 39.5 23 2 11 8.5 -48.2 -33.7 59.4 24 2 12 0.5 -41.2 -44.0 60.3 25 2 13 13.9 -10.8 -32.0 36.5 26 2 14 -4.6 -52.7 -22.4 57.5 27 2 15 23.6 -38.9 -71.6 84.9 28 2 16 4.3 -24.3 -36.6 44.1 29 2 17 -8.5 -29.4 -30.7 43.3 30 2 18 9.0 -22.9 -50.3 56.0 31 2 19 -26.4 -31.3 -38.8 56.4 32 2 20 7.4 -39.6 -32.3 51.6 33 2 21 13.1 -9.3 -57.2 59.4 34 2 22 2.8 -81.1 -85.0 117.5 35 2 23 40.1 -61.3 -64.3 97.5 36 2 24 -1.4 -66.7 -72.6 98.6 37 3 1 -38.8 -50.2 -54.4 83.6 38 3 2 -41.7 -45.4 -70.4 93.5 39 3 3 -37.7 -43.9 -70.6 91.2 40 3 4 -19.8 -50.3 -44.3 69.9 41 3 5 -42.2 -39.7 -71.6 92.1 42 3 6 -52.5 -37.1 -62.1 89.3 43 3 7 -44.3 -40.2 -74.0 95.1 44 3 8 -47.8 -60.0 -42.0 87.5 45 3 9 -24.3 -70.1 -79.0 108.4 46 3 10 -26.5 -44.8 -68.4 85.9 47 3 11 -18.7 -50.8 -84.3 100.2 48 3 12 229.3 -251.9 83.6 350.7 49 3 13 -140.1 26.4 -46.7 150.1 50 3 14 -25.8 -45.1 -80.4 95.7 51 3 15 -44.7 -41.9 -60.8 86.3 52 3 16 -34.0 -49.7 -78.8 99.2 53 3 17 -12.0 -49.7 -63.8 81.8 54 3 18 -18.0 -32.0 -55.6 66.6 55 3 19 -13.2 -30.4 -73.4 80.6 56 3 20 -63.2 -34.6 -48.2 86.8 57 3 21 -39.9 -46.0 -55.0 82.1 58 3 22 -21.4 -26.5 -38.8 51.6 59 3 23 -26.0 -24.9 -49.8 61.5 60 3 24 -15.3 -32.9 -39.0 53.2 61 3 25 -32.7 -37.3 -47.6 68.8 62 3 26 -45.8 -40.2 -37.3 71.5 63 3 27 -56.5 -44.7 -63.8 96.3 64 3 28 -33.7 -42.7 -65.6 85.3 65 3 29 -51.4 -49.3 -31.4 77.8 66 3 30 -45.0 -46.1 -53.9 84.0 67 3 31 -46.0 -31.3 -49.2 74.3 68 3 32 -43.4 -31.5 -38.6 66.1 69 3 33 -18.4 -25.4 -1.7 31.4 70 3 34 -9.3 -6.3 4.2 12.0 71 3 35 -16.6 -8.0 -35.2 39.8 72 3 36 6.4 -21.9 -14.4 26.9 73 3 37 -30.8 -34.3 -75.9 88.8 74 3 38 -26.8 -9.8 -34.4 44.7 75 3 39 -19.4 -22.9 -38.1 48.5 76 3 40 -21.0 -20.2 -50.8 58.6 77 3 41 -25.1 -18.7 -21.9 38.2 78 3 42 -12.9 -22.6 -29.0 39.0 79 3 43 -47.8 -24.9 -52.0 74.9 80 3 44 -18.1 -47.5 -34.9 61.7 81 3 45 -34.1 -51.0 -84.4 104.3 82 3 46 -51.9 -61.9 -77.4 111.9 83 3 47 -84.7 -67.9 -80.9 135.4 84 3 48 -56.8 -64.2 -106.0 136.3 85 4 1 -59.5 -77.3 -36.1 104.0 86 4 2 -44.0 -73.0 -113.7 142.1 87 4 3 -53.2 -61.1 -76.3 111.3 88 4 4 -50.8 -57.1 -111.9 135.5 89 4 5 -50.3 -56.9 -88.0 116.3 90 4 6 -48.3 -65.3 -84.6 117.2 91 4 7 -47.3 -73.9 -66.3 110.0 92 4 8 -100.4 -23.1 -90.9 137.4 93 4 9 -46.3 -38.1 -6.3 60.2 94 4 10 -88.8 -40.5 -92.4 134.4 95 4 11 -10.7 -74.3 -110.8 133.8 96 4 12 -47.9 98.5 -93.4 143.9 97 4 13 51.8 -85.5 69.4 121.7 98 4 14 -72.8 -18.2 -125.3 146.0 99 4 15 -50.2 -74.6 -34.0 96.1 100 4 16 -77.1 -40.2 -20.7 89.3 101 4 17 -66.7 -59.5 -75.4 116.9 102 4 18 -35.5 -60.1 -24.2 73.9 103 4 19 -62.5 -65.0 -63.5 110.3 104 4 20 -33.5 -48.6 -89.7 107.4 105 4 21 -59.4 -60.6 -57.2 102.4 106 4 22 -106.4 -55.5 57.2 133.0 107 4 23 -70.9 -63.8 -39.0 103.1 108 4 24 -78.4 -47.6 -20.2 94.0 109 4 25 -94.7 -42.9 -11.2 104.6 110 4 26 -49.0 -65.2 -79.3 113.7 111 4 27 -53.9 -39.6 -31.0 73.8 112 4 28 -57.2 -54.1 -42.1 89.2 113 4 29 -70.2 -37.9 -97.9 126.3 114 4 30 -53.8 -41.4 -20.3 70.9 115 4 31 -61.6 -31.6 -19.8 72.0 116 4 32 -56.1 -15.3 -22.5 62.3 117 4 33 -50.8 -3.2 -5.5 51.2 118 4 34 -14.3 2.9 -6.7 16.0 119 4 35 -0.1 12.4 -29.6 32.1 120 4 36 -37.8 6.9 -0.6 38.4 121 4 37 -19.4 22.2 -15.9 33.5 122 4 38 -17.2 -4.5 -52.4 55.3 123 4 39 -28.5 3.4 -5.8 29.3 124 4 40 -7.7 2.5 -30.5 31.6 125 4 41 -39.5 27.8 -47.1 67.5 126 4 42 -31.7 -9.9 -54.8 64.1 127 4 43 -61.0 -19.7 -61.9 89.1 128 4 44 -46.1 -24.1 -50.6 72.6 129 4 45 -30.6 -29.4 -67.7 79.9 130 4 46 -48.2 -60.7 -71.9 105.8 131 4 47 -57.5 -65.5 -76.3 115.9 132 4 48 -70.5 -75.9 -70.1 125.1 133 5 1 -24.4 -45.8 -58.7 78.4 134 5 2 -56.6 -48.1 -56.5 93.3 135 5 3 -36.2 -50.7 -71.6 94.9 136 5 4 -50.8 -60.7 -63.0 101.1 137 5 5 -54.1 -55.9 -97.0 124.3 138 5 6 -63.4 -69.2 -75.1 120.2 139 5 7 -25.1 -39.5 -23.3 52.3 140 5 8 -56.3 -28.3 -82.2 103.6 141 5 9 -21.9 -48.9 -26.7 59.9 142 5 10 -48.7 -37.4 -69.6 92.9 143 5 11 -35.3 -25.2 -27.3 51.2 144 5 12 -29.2 -6.2 -75.6 81.3 145 5 13 -28.2 -5.0 -55.5 62.5 146 5 14 -26.5 -22.0 -50.4 61.1 147 5 15 -27.2 -52.2 -65.5 88.1 148 5 16 -34.4 -21.7 -39.6 56.8 149 5 17 -47.5 -13.0 -1.5 49.2 150 5 18 -19.7 -44.8 81.1 94.7 151 5 19 -103.8 -50.7 -77.5 139.1 152 5 20 -83.9 -65.7 -72.2 128.7 153 5 21 -29.1 -53.1 -62.7 87.1 154 5 22 -58.9 -44.0 -77.5 106.8 155 5 23 -60.9 -46.4 1.5 76.6 156 5 24 -16.7 -28.5 11.2 34.9 157 5 25 -17.0 -25.4 -24.0 38.8 158 5 26 -59.3 -37.5 -17.8 72.4 159 5 27 -51.2 -49.1 -85.4 111.0 160 5 28 -45.6 -26.1 -34.7 63.0 161 5 29 -16.2 -29.8 -49.4 59.9 162 5 30 -30.8 -30.6 27.7 51.5 163 5 31 -28.3 -24.1 -23.0 43.7 164 5 32 -31.0 14.8 15.8 37.8 165 5 33 11.3 45.5 42.1 63.0 166 5 34 5.0 25.5 8.4 27.3 167 5 35 19.9 63.6 69.0 95.9 168 5 36 8.7 49.4 63.3 80.8 169 5 37 13.6 67.4 26.4 73.7 170 5 38 -10.1 39.1 37.7 55.3 171 5 39 4.3 70.1 28.0 75.6 172 5 40 -21.5 32.2 19.2 43.2 173 5 41 21.3 57.5 59.5 85.5 174 5 42 -26.6 19.5 9.1 34.2 175 5 43 -10.6 18.5 -19.6 29.0 176 5 44 -3.4 -2.9 -13.0 13.7 177 5 45 -16.9 6.3 -30.3 35.2 178 5 46 -24.7 -41.0 -33.8 58.6 179 5 47 -58.0 -46.7 -19.9 77.1 180 5 48 -44.1 -28.3 -54.5 75.6 181 6 1 -66.7 -50.1 -65.1 105.8 182 6 2 -64.2 -72.7 -84.8 128.8 183 6 3 -93.9 -70.6 -109.6 160.7 184 6 4 -85.3 -71.4 -167.0 200.6 185 6 5 -48.3 -96.0 -74.7 130.8 186 6 6 -72.5 -61.1 -133.3 163.5 187 6 7 -58.3 -71.6 -81.5 123.1 188 6 8 -56.8 -29.9 -55.5 84.9 189 6 9 -58.3 -42.9 -85.0 111.6 190 6 10 -85.2 -14.9 -49.3 99.6 191 6 11 -6.0 -24.9 -28.9 38.6 192 6 12 -72.7 35.2 -35.1 88.1 193 6 13 -28.6 -31.3 -65.1 77.7 194 6 14 -34.0 -40.4 -76.8 93.2 195 6 15 -60.4 -47.2 -81.9 112.2 196 6 16 -52.8 -21.2 -106.5 120.7 197 6 17 -45.3 -53.4 -88.5 112.8 198 6 18 -32.4 -41.6 -264.8 270.0 199 6 19 6.8 -61.1 -71.2 94.1 200 6 20 -77.3 -23.7 -40.2 90.3 201 6 21 -93.7 -54.4 -81.4 135.5 202 6 22 -41.4 48.5 -39.4 75.0 203 6 23 1.3 -38.2 19.1 42.8 204 6 24 -22.7 -5.4 -3.7 23.6 205 6 25 -57.3 -7.3 -29.0 64.6 206 6 26 -24.2 -39.3 -15.0 48.5 207 6 27 -76.3 -20.5 -27.1 83.5 208 6 28 -66.0 -20.4 -66.1 95.6 209 6 29 -77.4 24.8 9.4 81.8 210 6 30 -31.7 25.4 85.0 94.2 211 6 31 -7.4 18.9 39.4 44.3 212 6 32 -21.0 16.0 62.5 67.8 213 6 33 7.4 66.2 -6.0 66.9 214 6 34 -26.7 82.7 55.8 103.3 215 6 35 61.8 74.2 107.7 144.7 216 6 36 67.2 110.9 114.8 173.2 217 6 37 28.4 80.2 86.8 121.5 218 6 38 46.7 42.4 45.3 77.6 219 6 39 14.3 67.4 41.3 80.3 220 6 40 31.5 72.6 -2.5 79.2 221 6 41 44.3 80.7 40.9 100.7 222 6 42 76.6 48.2 24.8 93.9 223 6 43 36.2 40.1 69.4 87.9 224 6 44 25.1 27.6 43.8 57.5 225 6 45 -8.9 50.5 -67.1 84.4 226 6 46 -65.2 12.5 -11.3 67.3 227 6 47 -47.3 -19.7 -18.7 54.5 228 6 48 -38.9 -46.9 -33.0 69.3 229 7 1 -60.8 11.8 -54.4 82.5 230 7 2 -64.3 -50.5 -77.7 112.8 231 7 3 -91.8 -51.6 -78.4 131.3 232 7 4 -62.4 -139.9 -30.5 156.2 233 7 5 -77.5 -58.8 -85.4 129.5 234 7 6 -102.8 -53.6 -121.6 168.0 235 7 7 -54.0 -65.8 -83.1 119.0 236 7 8 -20.7 -40.6 -88.1 99.2 237 7 9 5.3 -110.7 -33.1 115.7 238 7 10 -29.2 0.0 -64.2 70.5 239 7 11 0.1 -13.4 -18.1 22.5 240 7 12 11.1 -41.5 25.3 49.9 241 7 13 -64.4 17.2 0.4 66.6 242 7 14 -21.5 -3.5 2.1 21.8 243 7 15 -37.8 -52.9 -47.4 80.4 244 7 16 -26.0 -116.9 -38.8 125.9 245 7 17 -28.8 -64.6 -66.7 97.2 246 7 18 -80.8 -3.6 -98.3 127.3 247 7 19 -29.9 -59.7 -17.0 68.9 248 7 20 -14.5 -49.7 -53.6 74.5 249 7 21 -12.5 -108.4 18.0 110.6 250 7 22 -60.0 4.7 -0.4 60.2 251 7 23 49.7 -16.9 61.0 80.5 252 7 24 -19.0 60.4 99.8 118.2 253 7 25 60.5 58.9 95.4 127.4 254 7 26 -17.9 36.0 67.8 78.8 255 7 27 -41.6 13.6 49.8 66.3 256 7 28 -40.4 -102.4 368.4 384.5 257 7 29 60.7 -20.6 54.6 84.2 258 7 30 12.9 21.5 26.0 36.1 259 7 31 4.8 34.7 46.7 58.3 260 7 32 42.3 51.3 37.8 76.5 261 7 33 41.3 2.6 88.8 97.9 262 7 34 79.4 124.4 90.5 173.1 263 7 35 99.4 115.3 134.4 203.1 264 7 36 63.2 125.2 127.8 189.7 265 7 37 68.8 134.2 108.9 186.0 266 7 38 40.6 75.5 41.7 95.3 267 7 39 72.6 122.1 47.0 149.7 268 7 40 114.0 42.1 122.9 172.9 269 7 41 96.6 87.5 85.1 155.7 270 7 42 72.1 71.8 89.9 135.8 271 7 43 19.4 106.2 53.4 120.5 272 7 44 74.2 58.7 78.5 122.9 273 7 45 19.5 0.6 61.6 64.6 274 7 46 46.7 23.0 37.1 63.9 275 7 47 -6.2 42.3 -47.9 64.3 276 7 48 -13.6 131.2 0.6 131.9 Creating sector-motor-move file sector motor steps 1 1 -9 1 2 -42 1 3 -19 1 4 -51 1 5 -21 1 6 -26 1 7 -24 1 8 -15 1 9 -28 1 10 -33 1 11 -21 1 12 -28 1 13 -23 1 14 -15 1 15 -19 1 16 -26 1 17 -22 1 18 -19 1 19 -16 1 20 3 1 21 -18 1 22 -19 1 23 -15 1 24 -20 1 25 -19 1 26 -18 1 27 -15 1 28 -34 1 29 -17 1 30 -15 1 31 -21 1 32 -15 1 33 -11 1 34 -23 1 35 -18 1 36 -16 1 37 -17 1 38 -14 1 39 -17 1 40 -34 1 41 -22 1 42 -13 1 43 -18 1 44 -14 1 45 -7 1 46 -11 1 47 -23 1 48 -18 1 49 -21 1 50 -13 1 51 -11 1 52 -17 1 53 -18 1 54 0 1 55 -21 1 56 -13 1 57 -12 1 58 0 1 59 7 1 60 -4 1 61 -16 1 62 -15 1 63 -11 1 64 -18 1 65 0 1 66 -18 1 67 -13 1 68 -15 1 69 -6 2 1 -27 2 2 -12 2 3 -6 2 4 -17 2 5 -9 2 6 -17 2 7 -25 2 8 -20 2 9 -16 2 10 -24 2 11 -21 2 12 -17 2 13 -37 2 14 -16 2 15 -31 2 16 -40 2 17 -18 2 18 -22 2 19 -26 2 20 -18 2 21 -23 2 22 -22 2 23 -29 2 24 -14 2 25 -25 2 26 -8 2 27 -17 2 28 -27 2 29 -7 2 30 -30 2 31 -7 2 32 -12 2 33 -7 2 34 -20 2 35 -22 2 36 -14 2 37 -23 2 38 -21 2 39 -19 2 40 -25 2 41 -20 2 42 -14 2 43 -29 2 44 -17 2 45 -16 2 46 -27 2 47 -17 2 48 -15 2 49 -22 2 50 -12 2 51 -13 2 52 -16 2 53 -16 2 54 2 2 55 -19 2 56 -11 2 57 -16 2 58 -3 2 59 16 2 60 2 2 61 -21 2 62 -12 2 63 -12 2 64 -18 2 65 4 2 66 -23 2 67 -12 2 68 -18 2 69 -14 3 1 7 3 2 -12 3 3 3 3 4 -10 3 5 10 3 6 -22 3 7 -5 3 8 -4 3 9 0 3 10 -8 3 11 -7 3 12 -1 3 13 -19 3 14 0 3 15 -8 3 16 -15 3 17 -4 3 18 -26 3 19 -10 3 20 -33 3 21 1 3 22 -26 3 23 -13 3 24 -17 3 25 -23 3 26 -1 3 27 -8 3 28 -28 3 29 30 3 30 -14 3 31 -8 3 32 -7 3 33 -10 3 34 -33 3 35 -22 3 36 -3 3 37 -21 3 38 -11 3 39 -14 3 40 -28 3 41 -12 3 42 -27 3 43 -8 3 44 -15 3 45 -6 3 46 -1 3 47 -11 3 48 -14 3 49 -25 3 50 -15 3 51 -5 3 52 3 3 53 -18 3 54 10 3 55 -20 3 56 -13 3 57 -8 3 58 -13 3 59 27 3 60 -16 3 61 -24 3 62 -21 3 63 -7 3 64 -18 3 65 6 3 66 -10 3 67 25 3 68 -77 3 69 70 4 1 -11 4 2 -35 4 3 -7 4 4 -32 4 5 -6 4 6 -16 4 7 -14 4 8 -16 4 9 -11 4 10 -25 4 11 -14 4 12 -18 4 13 0 4 14 -1 4 15 -6 4 16 -23 4 17 -12 4 18 -10 4 19 0 4 20 5 4 21 -19 4 22 -19 4 23 -9 4 24 -8 4 25 -12 4 26 -6 4 27 -10 4 28 -6 4 29 -12 4 30 -23 4 31 -20 4 32 -16 4 33 -8 4 34 -10 4 35 -22 4 36 -15 4 37 -15 4 38 -6 4 39 -8 4 40 -38 4 41 -5 4 42 -22 4 43 -17 4 44 -1 4 45 -8 4 46 21 4 47 -26 4 48 15 4 49 -18 4 50 -12 4 51 -13 4 52 -18 4 53 -16 4 54 8 4 55 -24 4 56 -13 4 57 -7 4 58 4 4 59 25 4 60 0 4 61 -14 4 62 8 4 63 -42 4 64 -16 4 65 -5 4 66 -9 4 67 -24 4 68 -15 4 69 -10 5 1 -16 5 2 -15 5 3 -4 5 4 -12 5 5 -7 5 6 -23 5 7 -5 5 8 -18 5 9 -9 5 10 -21 5 11 -18 5 12 2 5 13 -30 5 14 -1 5 15 -24 5 16 -81 5 17 -12 5 18 -9 5 19 -20 5 20 -19 5 21 -8 5 22 -27 5 23 -16 5 24 -13 5 25 -22 5 26 -20 5 27 -25 5 28 -27 5 29 -14 5 30 -10 5 31 -23 5 32 -15 5 33 -31 5 34 -19 5 35 -19 5 36 -19 5 37 24 5 38 -13 5 39 -6 5 40 -7 5 41 -18 5 42 -10 5 43 0 5 44 -3 5 45 -14 5 46 -23 5 47 -18 5 48 -20 5 49 -22 5 50 -9 5 51 -4 5 52 -2 5 53 -11 5 54 1 5 55 -17 5 56 -9 5 57 -5 5 58 -3 5 59 15 5 60 7 5 61 -19 5 62 -15 5 63 -3 5 64 -14 5 65 4 5 66 -11 5 67 -14 5 68 -10 5 69 -19 6 1 30 6 2 18 6 3 -5 6 4 -1 6 5 -1 6 6 -6 6 7 18 6 8 -5 6 9 15 6 10 5 6 11 -11 6 12 0 6 13 0 6 14 1 6 15 -18 6 16 -12 6 17 14 6 18 -12 6 19 5 6 20 -33 6 21 -3 6 22 -24 6 23 -16 6 24 -28 6 25 3 6 26 -8 6 27 -5 6 28 -6 6 29 -14 6 30 -24 6 31 0 6 32 -14 6 33 -18 6 34 -11 6 35 -19 6 36 -21 6 37 -23 6 38 -13 6 39 -18 6 40 17 6 41 -17 6 42 -32 6 43 -19 6 44 -16 6 45 -8 6 46 -17 6 47 -18 6 48 -18 6 49 -15 6 50 -7 6 51 -7 6 52 -13 6 53 -12 6 54 0 6 55 -11 6 56 -8 6 57 -6 6 58 5 6 59 17 6 60 6 6 61 -16 6 62 -14 6 63 -12 6 64 -3 6 65 2 6 66 -10 6 67 -11 6 68 -10 6 69 -4 7 1 100 7 2 -31 7 3 -12 7 4 -20 7 5 -6 7 6 -20 7 7 15 7 8 4 7 9 -12 7 10 -8 7 11 -6 7 12 -23 7 13 20 7 14 11 7 15 -5 7 16 -4 7 17 -12 7 18 -7 7 19 29 7 20 18 7 21 18 7 22 -8 7 23 -2 7 24 -17 7 25 -10 7 26 -8 7 27 -14 7 28 -12 7 29 -16 7 30 -17 7 31 -26 7 32 -15 7 33 -15 7 34 -9 7 35 -12 7 36 -16 7 37 -5 7 38 -11 7 39 -18 7 40 -24 7 41 -19 7 42 -15 7 43 -7 7 44 -7 7 45 -5 7 46 -3 7 47 -13 7 48 -29 7 49 -19 7 50 -13 7 51 -17 7 52 -6 7 53 -16 7 54 -1 7 55 -11 7 56 -12 7 57 -14 7 58 8 7 59 2 7 60 0 7 61 -14 7 62 -11 7 63 -10 7 64 -11 7 65 4 7 66 -9 7 67 -20 7 68 -13 7 69 -10 8 1 11 8 2 15 8 3 12 8 4 19 8 5 4 8 6 -6 8 7 14 8 8 10 8 9 1 8 10 12 8 11 5 8 12 -2 8 13 7 8 14 6 8 15 3 8 16 26 8 17 7 8 18 -9 8 19 16 8 20 -6 8 21 18 8 22 2 8 23 7 8 24 -23 8 25 4 8 26 4 8 27 -9 8 28 -6 8 29 -4 8 30 -17 8 31 -7 8 32 -7 8 33 -8 8 34 -6 8 35 -9 8 36 -18 8 37 8 8 38 -9 8 39 -9 8 40 -6 8 41 -12 8 42 -16 8 43 -15 8 44 -9 8 45 -4 8 46 -30 8 47 -11 8 48 -21 8 49 -15 8 50 -9 8 51 -14 8 52 -11 8 53 -7 8 54 1 8 55 -16 8 56 -14 8 57 -13 8 58 4 8 59 2 8 60 3 8 61 -9 8 62 -15 8 63 -15 8 64 -9 8 65 7 8 66 -21 8 67 -11 8 68 -9 8 69 -13 9 1 39 9 2 38 9 3 19 9 4 35 9 5 34 9 6 20 9 7 41 9 8 35 9 9 30 9 10 33 9 11 22 9 12 18 9 13 27 9 14 38 9 15 24 9 16 17 9 17 25 9 18 -8 9 19 27 9 20 0 9 21 12 9 22 -1 9 23 20 9 24 2 9 25 19 9 26 15 9 27 2 9 28 0 9 29 2 9 30 -11 9 31 21 9 32 19 9 33 6 9 34 -9 9 35 3 9 36 0 9 37 2 9 38 7 9 39 1 9 40 -2 9 41 0 9 42 -4 9 43 12 9 44 13 9 45 3 9 46 -1 9 47 0 9 48 -15 9 49 -10 9 50 -2 9 51 -5 9 52 -15 9 53 -7 9 54 2 9 55 1 9 56 -1 9 57 -2 9 58 -3 9 59 -4 9 60 -3 9 61 0 9 62 -7 9 63 -5 9 64 -9 9 65 -2 9 66 -9 9 67 -4 9 68 -6 9 69 1 10 1 37 10 2 12 10 3 34 10 4 0 10 5 22 10 6 9 10 7 14 10 8 37 10 9 22 10 10 12 10 11 20 10 12 4 10 13 12 10 14 23 10 15 12 10 16 13 10 17 13 10 18 14 10 19 33 10 20 41 10 21 21 10 22 26 10 23 24 10 24 8 10 25 5 10 26 9 10 27 -6 10 28 -9 10 29 0 10 30 -2 10 31 8 10 32 21 10 33 1 10 34 -1 10 35 1 10 36 -8 10 37 11 10 38 12 10 39 -3 10 40 -16 10 41 -1 10 42 -5 10 43 8 10 44 20 10 45 4 10 46 -4 10 47 6 10 48 -5 10 49 -11 10 50 -7 10 51 -5 10 52 -9 10 53 -12 10 54 2 10 55 -10 10 56 -3 10 57 -8 10 58 0 10 59 15 10 60 -1 10 61 -23 10 62 -10 10 63 -9 10 64 -2 10 65 -8 10 66 -11 10 67 -15 10 68 -6 10 69 -6 11 1 24 11 2 18 11 3 22 11 4 13 11 5 8 11 6 7 11 7 16 11 8 32 11 9 5 11 10 21 11 11 12 11 12 11 11 13 27 11 14 22 11 15 22 11 16 7 11 17 14 11 18 23 11 19 26 11 20 26 11 21 29 11 22 12 11 23 24 11 24 13 11 25 -3 11 26 0 11 27 -1 11 28 -15 11 29 -7 11 30 -14 11 31 -6 11 32 5 11 33 -3 11 34 -19 11 35 -6 11 36 -18 11 37 2 11 38 5 11 39 -8 11 40 -16 11 41 -3 11 42 -9 11 43 18 11 44 17 11 45 6 11 46 -14 11 47 8 11 48 -12 11 49 -15 11 50 -7 11 51 -14 11 52 -26 11 53 -24 11 54 0 11 55 -8 11 56 -6 11 57 -3 11 58 10 11 59 18 11 60 4 11 61 -6 11 62 -5 11 63 -7 11 64 -18 11 65 4 11 66 -17 11 67 -10 11 68 -14 11 69 -5 12 1 0 12 2 40 12 3 -4 12 4 -10 12 5 -14 12 6 -11 12 7 -14 12 8 12 12 9 -1 12 10 -5 12 11 -6 12 12 -14 12 13 11 12 14 7 12 15 14 12 16 -3 12 17 3 12 18 -19 12 19 18 12 20 0 12 21 5 12 22 -20 12 23 15 12 24 -2 12 25 -16 12 26 -8 12 27 -13 12 28 -21 12 29 -23 12 30 -21 12 31 -6 12 32 -14 12 33 -17 12 34 -23 12 35 -20 12 36 -17 12 37 -10 12 38 -12 12 39 -7 12 40 -22 12 41 -18 12 42 -14 12 43 -9 12 44 1 12 45 -5 12 46 -20 12 47 -9 12 48 -9 12 49 -24 12 50 -20 12 51 -25 12 52 -22 12 53 -20 12 54 0 12 55 -23 12 56 -18 12 57 -15 12 58 -2 12 59 16 12 60 0 12 61 -25 12 62 -15 12 63 -10 12 64 -23 12 65 12 12 66 -19 12 67 -32 12 68 -19 12 69 -17 !!!Warning!!! Truncated 1 recommended moves exceeding 100 steps !!!Warning!!! sector 7 motor 1:: move = 113 Adjuster movements: rms = 52.4 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20070828-144342 Creating HTML output file of plots Plotting summary text Plotting differences from mean surface Plotting differences from freq to freq Collapsing between pixels 0 and 15 Found 366025 non calibration points Gridding lorefpwr... Gridding losigpwr... Gridding hirefpwr... Gridding hisigpwr... Gridding encltemp... Gridding flags... Gridding phi-lock... Gridding sindex... Gridding time... Gridding zeropt... Gridding phase lock voltage 0... Gridding phase lock voltage 1... Gridding phase lock voltage 2... Gridding phase lock voltage 3... Gridding phase lock voltage 4... Gridding phase lock voltage 5... Gridding phase lock voltage 6... Gridding phase lock voltage 7... Gridding phase lock voltage 8... Gridding phase lock voltage 9... Gridding phase lock voltage 10... Gridding phase lock voltage 11... Gridding phase lock voltage 12... Gridding phase lock voltage 13... Gridding phase lock voltage 14... Gridding phase lock voltage 15... Saving results to disk - level = 1