Reduction started at: 20040809-145105 Reading data from rxh3-20040808-234534.fits Reduction ID: default Read keywords into global array holo_keys Read binary table data into global array holo_data Finished reading data Converted positions to arcsec, times to elapsed seconds, and reversed x-axis Pattern extent: min = 2402.2 max = 2421.9 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.960 mm ----------------- Data Summary --------------------- Number of samples: 1466025 This is a 160 GHz map Number of frequencies: 16 Frequencies (GHz): 160.676000 160.680000 160.684000 160.688000 160.692000 160.696000 160.700000 160.704000 160.708000 160.712000 160.716000 160.720000 160.724000 160.728000 160.732000 160.736000 item min max mean loreal -2.89551 3.02979 -0.00221 loimag -3.16406 3.12988 -0.00724 hireal -5.00000 4.99756 0.00009 hiimag -5.00000 4.99756 0.01486 xpos -2421.90478 2409.70745 -13.89553 ypos -2402.63172 2402.16177 0.00212 plock160 0.94971 2.36084 1.72223 lorefpwr 1.36719 2.95410 2.48000 losigpwr -4.58496 -0.41260 -4.47042 hirefpwr 1.44287 2.93213 2.49625 hisigpwr -4.50195 4.99756 -1.46573 encltemp 31.39648 32.88574 31.98693 flags 0.00000 256.00000 2.44471 phi-lock -1.20605 0.13916 -0.56106 sindex 0.00000 254.00000 126.60925 time 0.00000 5877.00859 2937.62220 zeropt -0.00732 -0.00244 -0.00413 !!!Warning!!! philock max less than 0.2 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 255 rows There are 241 data rows and 14 calibrator rows Calibrator rows: 0 21 42 63 84 105 126 147 168 189 210 231 252 254 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 20.00302 arcsec Mean row spacing = 20.00304 arcsec (alternate estimator) Mean tracking incline = -0.07838 arcsec Mean pointing range = 0.51455 arcsec Mean pointing rms = 0.09626 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-4.2, 8.1 ) arcsec Applying pointing lags: (0, 0 ) arcsec Deciphering frequencies... Selecting hi/lo channels using method 2 Inverting the phase on this 160 GHz map 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 14000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 90360 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 90360 data points No calibration requested... Creating template maps for gridding Using a grid cellsize of 20.0 arcseconds Using a grid of 256 points Grid has even number of points Maximum data offset = 2421.9 arcsec Grid extent = 2550 arcsec lambda_min = 0.00186512 scale = 0.00259937 Diffraction scale lambda/D = 25.6569 arcsec Gridding function extent = 153.941 arcsec Using Gaussian * Airy regridding function Gaussian FWHM = 76.9706 arcsec Airy first null at 31.2929 arcsec Gridding frequency index 0 lambda = 0.00186582 metres, scale = 0.0025984 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 = 2.84351 at (0.0, 0.0) arcsec Real: mean = 0.000122857 sum of squares = 2053.3 Imag: mean = 7.70182e-05 sum of squares = 2023.01 Gridding frequency index 1 lambda = 0.00186577 metres, scale = 0.00259846 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 = 2.88158 at (0.0, 0.0) arcsec Real: mean = 0.000195636 sum of squares = 1970.11 Imag: mean = -0.000130724 sum of squares = 2121.23 Gridding frequency index 2 lambda = 0.00186573 metres, scale = 0.00259852 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 = 2.9226 at (0.0, 0.0) arcsec Real: mean = 0.000301357 sum of squares = 2059.17 Imag: mean = -0.000102586 sum of squares = 2051.56 Gridding frequency index 3 lambda = 0.00186568 metres, scale = 0.00259859 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 = 2.94014 at (0.0, 0.0) arcsec Real: mean = 0.000394257 sum of squares = 2141.52 Imag: mean = -0.000138319 sum of squares = 1997.66 Gridding frequency index 4 lambda = 0.00186563 metres, scale = 0.00259865 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 = 2.94799 at (0.0, 0.0) arcsec Real: mean = 0.000465341 sum of squares = 2052.7 Imag: mean = 3.46205e-05 sum of squares = 2119.68 Gridding frequency index 5 lambda = 0.00186559 metres, scale = 0.00259872 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 = 2.90587 at (0.0, 0.0) arcsec Real: mean = 0.000393106 sum of squares = 2038.51 Imag: mean = 7.95066e-05 sum of squares = 2167.53 Gridding frequency index 6 lambda = 0.00186554 metres, scale = 0.00259878 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 = 2.8692 at (0.0, 0.0) arcsec Real: mean = 0.000313411 sum of squares = 2168.02 Imag: mean = 0.000159255 sum of squares = 2074.9 Gridding frequency index 7 lambda = 0.00186549 metres, scale = 0.00259885 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 = 2.90664 at (0.0, 0.0) arcsec Real: mean = 0.000181753 sum of squares = 2189.22 Imag: mean = 7.62623e-05 sum of squares = 2089.22 Gridding frequency index 8 lambda = 0.00186545 metres, scale = 0.00259891 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 = 2.95002 at (0.0, 0.0) arcsec Real: mean = 0.000202288 sum of squares = 2088.12 Imag: mean = -5.87391e-05 sum of squares = 2227.51 Gridding frequency index 9 lambda = 0.0018654 metres, scale = 0.00259898 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 = 2.98378 at (0.0, 0.0) arcsec Real: mean = 0.000261505 sum of squares = 2149 Imag: mean = -0.000100906 sum of squares = 2211.13 Gridding frequency index 10 lambda = 0.00186536 metres, scale = 0.00259904 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 = 3.01652 at (0.0, 0.0) arcsec Real: mean = 0.000366893 sum of squares = 2278.06 Imag: mean = -0.00017186 sum of squares = 2126.24 Gridding frequency index 11 lambda = 0.00186531 metres, scale = 0.00259911 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 = 3.00363 at (0.0, 0.0) arcsec Real: mean = 0.000536794 sum of squares = 2225.12 Imag: mean = -1.94847e-05 sum of squares = 2224.33 Gridding frequency index 12 lambda = 0.00186526 metres, scale = 0.00259917 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 = 2.9779 at (0.0, 0.0) arcsec Real: mean = 0.00043556 sum of squares = 2169.36 Imag: mean = 0.000118776 sum of squares = 2329.26 Gridding frequency index 13 lambda = 0.00186522 metres, scale = 0.00259924 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 = 2.97599 at (0.0, 0.0) arcsec Real: mean = 0.000393924 sum of squares = 2291.93 Imag: mean = 0.000182602 sum of squares = 2262.88 Gridding frequency index 14 lambda = 0.00186517 metres, scale = 0.0025993 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 = 2.99552 at (0.0, 0.0) arcsec Real: mean = 0.000190778 sum of squares = 2383.71 Imag: mean = 0.000182574 sum of squares = 2231.83 Gridding frequency index 15 lambda = 0.00186512 metres, scale = 0.00259937 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 = 3.03702 at (0.0, 0.0) arcsec Real: mean = 0.000171219 sum of squares = 2290.28 Imag: mean = 3.10753e-06 sum of squares = 2386.62 Masking frequency index 0 Mask scale size = 6.11693 Masking frequency index 1 Mask scale size = 6.11708 Masking frequency index 2 Mask scale size = 6.11723 Masking frequency index 3 Mask scale size = 6.11739 Masking frequency index 4 Mask scale size = 6.11754 Masking frequency index 5 Mask scale size = 6.11769 Masking frequency index 6 Mask scale size = 6.11784 Masking frequency index 7 Mask scale size = 6.118 Masking frequency index 8 Mask scale size = 6.11815 Masking frequency index 9 Mask scale size = 6.1183 Masking frequency index 10 Mask scale size = 6.11845 Masking frequency index 11 Mask scale size = 6.1186 Masking frequency index 12 Mask scale size = 6.11876 Masking frequency index 13 Mask scale size = 6.11891 Masking frequency index 14 Mask scale size = 6.11906 Masking frequency index 15 Mask scale size = 6.11921 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.166016 Median point-to-point PLL voltage change: 0.00732422 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.200195 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.217285 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.251465 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.175781 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.00976562 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.00976562 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 2.8706 125.57 Freq 1: Shift, scale = 2.0124 125.37 Freq 2: Shift, scale = 1.1559 125.96 Freq 3: Shift, scale = 0.29564 126.99 Freq 4: Shift, scale = -0.57253 128.1 Freq 5: Shift, scale = -1.4483 127.91 Freq 6: Shift, scale = -2.3094 126.93 Freq 7: Shift, scale = 3.1251 127.41 Freq 8: Shift, scale = 2.2675 129.56 Freq 9: Shift, scale = 1.3969 130.9 Freq 10: Shift, scale = 0.52484 131.03 Freq 11: Shift, scale = -0.34143 131.34 Freq 12: Shift, scale = -1.2037 131.19 Freq 13: Shift, scale = -2.0605 132.15 Freq 14: Shift, scale = -2.9256 133.48 Freq 15: Shift, scale = 2.4878 134.12 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: -0.22 radians x offset: 0.0192 arcsec y offset: 0.0371 arcsec defocus: 0.00651 mm Estimated x pointing error is -4.181 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.137 arcsec (used 8.1 arcsec) Estimated defocus error is 2.967 mm (used 2.96 mm) Fitting frequency 1 Minimiser fit code = 3 piston: -0.215 radians x offset: 0.021 arcsec y offset: 0.023 arcsec defocus: 0.00608 mm Estimated x pointing error is -4.179 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.123 arcsec (used 8.1 arcsec) Estimated defocus error is 2.966 mm (used 2.96 mm) Fitting frequency 2 Minimiser fit code = 3 piston: -0.207 radians x offset: 0.0176 arcsec y offset: 0.0344 arcsec defocus: 0.00625 mm Estimated x pointing error is -4.182 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.134 arcsec (used 8.1 arcsec) Estimated defocus error is 2.966 mm (used 2.96 mm) Fitting frequency 3 Minimiser fit code = 1 piston: -0.205 radians x offset: 0.00323 arcsec y offset: 0.0506 arcsec defocus: 0.00565 mm Estimated x pointing error is -4.197 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.151 arcsec (used 8.1 arcsec) Estimated defocus error is 2.966 mm (used 2.96 mm) Fitting frequency 4 Minimiser fit code = 1 piston: -0.209 radians x offset: -0.00559 arcsec y offset: 0.064 arcsec defocus: 0.0065 mm Estimated x pointing error is -4.206 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.164 arcsec (used 8.1 arcsec) Estimated defocus error is 2.967 mm (used 2.96 mm) Fitting frequency 5 Minimiser fit code = 1 piston: -0.221 radians x offset: -0.00274 arcsec y offset: 0.0536 arcsec defocus: 0.00654 mm Estimated x pointing error is -4.203 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.154 arcsec (used 8.1 arcsec) Estimated defocus error is 2.967 mm (used 2.96 mm) Fitting frequency 6 Minimiser fit code = 1 piston: -0.219 radians x offset: -0.0108 arcsec y offset: 0.0358 arcsec defocus: 0.00465 mm Estimated x pointing error is -4.211 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.136 arcsec (used 8.1 arcsec) Estimated defocus error is 2.965 mm (used 2.96 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.205 radians x offset: -0.0133 arcsec y offset: 0.0326 arcsec defocus: 0.00439 mm Estimated x pointing error is -4.213 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.133 arcsec (used 8.1 arcsec) Estimated defocus error is 2.964 mm (used 2.96 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.201 radians x offset: -0.0186 arcsec y offset: 0.0499 arcsec defocus: 0.00367 mm Estimated x pointing error is -4.219 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.15 arcsec (used 8.1 arcsec) Estimated defocus error is 2.964 mm (used 2.96 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.208 radians x offset: -0.0319 arcsec y offset: 0.0471 arcsec defocus: 0.00397 mm Estimated x pointing error is -4.232 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.147 arcsec (used 8.1 arcsec) Estimated defocus error is 2.964 mm (used 2.96 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.217 radians x offset: -0.0328 arcsec y offset: 0.0386 arcsec defocus: 0.00316 mm Estimated x pointing error is -4.233 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.139 arcsec (used 8.1 arcsec) Estimated defocus error is 2.963 mm (used 2.96 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.221 radians x offset: -0.0332 arcsec y offset: 0.014 arcsec defocus: 0.000993 mm Estimated x pointing error is -4.233 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.114 arcsec (used 8.1 arcsec) Estimated defocus error is 2.961 mm (used 2.96 mm) Fitting frequency 12 Minimiser fit code = 1 piston: -0.219 radians x offset: -0.0427 arcsec y offset: -0.00108 arcsec defocus: 0.00102 mm Estimated x pointing error is -4.243 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.099 arcsec (used 8.1 arcsec) Estimated defocus error is 2.961 mm (used 2.96 mm) Fitting frequency 13 Minimiser fit code = 1 piston: -0.211 radians x offset: -0.0549 arcsec y offset: 0.000919 arcsec defocus: 0.00157 mm Estimated x pointing error is -4.255 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.101 arcsec (used 8.1 arcsec) Estimated defocus error is 2.962 mm (used 2.96 mm) Fitting frequency 14 Minimiser fit code = 1 piston: -0.212 radians x offset: -0.0673 arcsec y offset: 0.00144 arcsec defocus: 0.0014 mm Estimated x pointing error is -4.267 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.101 arcsec (used 8.1 arcsec) Estimated defocus error is 2.961 mm (used 2.96 mm) Fitting frequency 15 Minimiser fit code = 1 piston: -0.216 radians x offset: -0.0703 arcsec y offset: -0.0227 arcsec defocus: 0.000292 mm Estimated x pointing error is -4.27 arcsec (used -4.2 arcsec) Estimated y pointing error is 8.077 arcsec (used 8.1 arcsec) Estimated defocus error is 2.96 mm (used 2.96 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 -0.00165 piston 1 1 -0.00722 tilt_x 1 -1 -0.02105 tilt_y 2 2 -0.06379 astigmatism_0 2 0 -0.00093 curvature 2 -2 -0.00676 astigmatism45 3 3 0.02045 trefoil_0 3 1 -0.02999 coma_x 3 -1 -0.06810 coma_y 3 -3 0.01640 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 -0.00158 piston 1 1 -0.00785 tilt_x 1 -1 -0.02179 tilt_y 2 2 -0.06561 astigmatism_0 2 0 -0.00070 curvature 2 -2 -0.00569 astigmatism45 3 3 0.02147 trefoil_0 3 1 -0.03192 coma_x 3 -1 -0.06991 coma_y 3 -3 0.01780 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 -0.00152 piston 1 1 -0.00809 tilt_x 1 -1 -0.02200 tilt_y 2 2 -0.06466 astigmatism_0 2 0 -0.00046 curvature 2 -2 -0.00764 astigmatism45 3 3 0.02012 trefoil_0 3 1 -0.03249 coma_x 3 -1 -0.07023 coma_y 3 -3 0.01601 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 -0.00145 piston 1 1 -0.00840 tilt_x 1 -1 -0.02198 tilt_y 2 2 -0.06341 astigmatism_0 2 0 -0.00041 curvature 2 -2 -0.00861 astigmatism45 3 3 0.01888 trefoil_0 3 1 -0.03315 coma_x 3 -1 -0.06994 coma_y 3 -3 0.01377 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 -0.00144 piston 1 1 -0.00805 tilt_x 1 -1 -0.02110 tilt_y 2 2 -0.06127 astigmatism_0 2 0 -0.00053 curvature 2 -2 -0.00852 astigmatism45 3 3 0.01894 trefoil_0 3 1 -0.03200 coma_x 3 -1 -0.06722 coma_y 3 -3 0.01134 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 -0.00156 piston 1 1 -0.00723 tilt_x 1 -1 -0.02048 tilt_y 2 2 -0.06278 astigmatism_0 2 0 -0.00071 curvature 2 -2 -0.00718 astigmatism45 3 3 0.02053 trefoil_0 3 1 -0.03014 coma_x 3 -1 -0.06577 coma_y 3 -3 0.01187 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 -0.00161 piston 1 1 -0.00713 tilt_x 1 -1 -0.02094 tilt_y 2 2 -0.06666 astigmatism_0 2 0 -0.00073 curvature 2 -2 -0.00609 astigmatism45 3 3 0.02335 trefoil_0 3 1 -0.03047 coma_x 3 -1 -0.06678 coma_y 3 -3 0.01492 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 -0.00151 piston 1 1 -0.00688 tilt_x 1 -1 -0.02137 tilt_y 2 2 -0.06603 astigmatism_0 2 0 -0.00056 curvature 2 -2 -0.00627 astigmatism45 3 3 0.02158 trefoil_0 3 1 -0.02889 coma_x 3 -1 -0.06784 coma_y 3 -3 0.01336 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 -0.00147 piston 1 1 -0.00665 tilt_x 1 -1 -0.02150 tilt_y 2 2 -0.06196 astigmatism_0 2 0 -0.00053 curvature 2 -2 -0.00765 astigmatism45 3 3 0.01853 trefoil_0 3 1 -0.02756 coma_x 3 -1 -0.06907 coma_y 3 -3 0.01094 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 -0.00153 piston 1 1 -0.00691 tilt_x 1 -1 -0.02099 tilt_y 2 2 -0.06131 astigmatism_0 2 0 -0.00068 curvature 2 -2 -0.00707 astigmatism45 3 3 0.02128 trefoil_0 3 1 -0.02882 coma_x 3 -1 -0.06762 coma_y 3 -3 0.01041 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 -0.00155 piston 1 1 -0.00687 tilt_x 1 -1 -0.02143 tilt_y 2 2 -0.06303 astigmatism_0 2 0 -0.00055 curvature 2 -2 -0.00616 astigmatism45 3 3 0.02282 trefoil_0 3 1 -0.02885 coma_x 3 -1 -0.06961 coma_y 3 -3 0.01156 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 -0.00154 piston 1 1 -0.00623 tilt_x 1 -1 -0.02161 tilt_y 2 2 -0.06485 astigmatism_0 2 0 -0.00051 curvature 2 -2 -0.00562 astigmatism45 3 3 0.02282 trefoil_0 3 1 -0.02710 coma_x 3 -1 -0.06991 coma_y 3 -3 0.01385 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 -0.00151 piston 1 1 -0.00630 tilt_x 1 -1 -0.02154 tilt_y 2 2 -0.06571 astigmatism_0 2 0 -0.00044 curvature 2 -2 -0.00562 astigmatism45 3 3 0.02285 trefoil_0 3 1 -0.02737 coma_x 3 -1 -0.06914 coma_y 3 -3 0.01459 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 -0.00145 piston 1 1 -0.00610 tilt_x 1 -1 -0.02125 tilt_y 2 2 -0.06283 astigmatism_0 2 0 -0.00030 curvature 2 -2 -0.00674 astigmatism45 3 3 0.02141 trefoil_0 3 1 -0.02647 coma_x 3 -1 -0.06831 coma_y 3 -3 0.01115 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 -0.00153 piston 1 1 -0.00604 tilt_x 1 -1 -0.02130 tilt_y 2 2 -0.06161 astigmatism_0 2 0 -0.00051 curvature 2 -2 -0.00660 astigmatism45 3 3 0.02195 trefoil_0 3 1 -0.02605 coma_x 3 -1 -0.06915 coma_y 3 -3 0.00776 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 -0.00163 piston 1 1 -0.00617 tilt_x 1 -1 -0.02136 tilt_y 2 2 -0.06461 astigmatism_0 2 0 -0.00068 curvature 2 -2 -0.00521 astigmatism45 3 3 0.02446 trefoil_0 3 1 -0.02683 coma_x 3 -1 -0.06966 coma_y 3 -3 0.01070 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: 23.8 20.1 18.7 22.3 22.9 23.2 31.2 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.9 19.9 17.8 21.4 23 23.3 29.7 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.28 3.97 4.96 5.06 4.55 4.93 8.28 5.73 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.3 20.8 18.4 23 22.7 23.3 31.1 24.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.4 20.6 17.5 22.1 22.8 23.3 29.5 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.36 4.1 5.12 5.23 4.69 5.08 8.55 5.92 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.1 20.8 18.6 23 22.8 23.3 31.3 24.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.2 20.6 17.6 22.1 22.9 23.4 29.6 24 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.37 4.12 5.14 5.24 4.66 4.99 8.47 5.88 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.6 20.8 18.6 22.7 22.8 23.3 31.4 24.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.6 20.6 17.7 21.8 22.9 23.3 29.6 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.37 4.12 5.14 5.22 4.61 4.88 8.34 5.8 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.6 20.8 18.8 22.3 22.8 23 31.3 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 20.7 18 21.5 22.9 23 29.6 23.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.28 3.97 4.94 5.03 4.44 4.71 8.03 5.59 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.1 20.3 18.7 22 22.8 23 31.1 24.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.2 20.2 17.9 21.1 22.9 23 29.5 23.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.22 3.86 4.82 4.93 4.44 4.81 8.06 5.59 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.2 20.3 18.4 21.9 22.6 23 31 24.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.3 20.2 17.5 21 22.6 23 29.3 23.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.25 3.92 4.91 5.05 4.63 5.14 8.47 5.84 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.4 21.1 18.4 22.3 22.6 23.2 31.2 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.5 20.9 17.6 21.5 22.7 23.2 29.6 23.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.26 3.94 4.92 5.05 4.6 5.05 8.38 5.79 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.4 21.2 18.6 23 22.8 23.1 31.3 24.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.5 21.1 17.8 22.2 22.9 23.2 29.6 24 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.28 3.96 4.94 5.03 4.45 4.74 8.05 5.6 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24.2 20.5 18.6 23.1 22.5 23 31.2 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.3 20.4 17.8 22.3 22.6 23 29.5 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.25 3.92 4.88 4.97 4.42 4.72 8.01 5.56 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.8 20.3 18.4 22.5 22.7 23.2 31.2 24.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24 20.2 17.5 21.6 22.8 23.2 29.5 23.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.31 4.02 5.01 5.1 4.54 4.87 8.25 5.72 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 20.6 18.2 22 22.6 23.2 31 24.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.9 20.5 17.4 21.1 22.7 23.2 29.3 23.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.3 4 4.99 5.11 4.6 5 8.38 5.8 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.9 20.6 18.5 21.8 22.6 23.2 31.1 24.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24 20.6 17.7 20.9 22.7 23.2 29.4 23.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.28 3.97 4.96 5.08 4.62 5.06 8.43 5.82 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 20.6 18.7 22.2 22.9 23.2 31.3 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.8 20.5 17.9 21.4 23 23.2 29.6 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.25 3.91 4.87 4.98 4.46 4.82 8.11 5.62 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 20.6 18.7 22.6 22.7 23.1 31.3 24.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 23.7 20.5 17.8 21.7 22.8 23.2 29.7 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.26 3.94 4.91 4.99 4.43 4.73 8.03 5.58 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 24 20.4 18.5 22.7 22.7 23.4 31.3 24.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 24.1 20.3 17.6 21.8 22.8 23.4 29.6 23.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 2.29 3.98 4.97 5.08 4.58 4.98 8.35 5.77 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 22.8 19.6 17.5 21.2 21.6 22 30.3 23.4 Mean deviation is -0.8236902142869087 microns Taper = 10 dB, Ruze illumination-weighted rms = 22.9 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 = 20.1 micron Centre pixel: 128.0 128.0 Value = 13506.3 (estimate), 15687.6 (perfect) Strehl = 0.741235 Strehl ratio estimate = 0.7412 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 = 19.4 micron Centre pixel: 128.0 128.0 Value = 12000 (estimate), 15687.6 (perfect) Strehl = 0.585125 Strehl ratio estimate = 0.5851 Fitting panels... No Zernike terms to subtract before panel fitting edge scale = 0.07514 metres panel scale = 3.00000 metres mean frequency = 160.70600 GHz min edge weight = 0.1 # rng pan adj1 adj2 adj3 qsum 1 1 1 2.2 -4.6 -9.1 10.4 2 1 2 3.1 2.3 -0.8 3.9 3 1 3 3.1 2.6 -3.3 5.2 4 1 4 1.7 7.8 -9.8 12.7 5 1 5 -16.9 -1.8 9.6 19.5 6 1 6 -8.5 1.6 -0.4 8.6 7 1 7 4.2 -0.4 8.1 9.2 8 1 8 -5.6 9.1 7.9 13.3 9 1 9 -82.8 -10.6 6.7 83.7 10 1 10 7.3 7.5 11.2 15.4 11 1 11 11.1 0.6 -10.1 15.0 12 1 12 1.4 -6.5 -5.3 8.5 13 2 1 8.8 -9.8 -6.8 14.8 14 2 2 6.9 -8.2 -10.4 14.9 15 2 3 -0.1 -10.0 -8.6 13.2 16 2 4 -1.9 -8.7 -4.5 10.0 17 2 5 -1.0 6.9 -7.5 10.3 18 2 6 -1.3 1.5 -4.4 4.9 19 2 7 -1.8 -0.1 0.1 1.8 20 2 8 -1.7 13.0 6.6 14.7 21 2 9 0.9 -3.6 -0.6 3.8 22 2 10 3.7 4.4 3.8 6.9 23 2 11 -1.3 -2.2 0.1 2.5 24 2 12 -1.5 1.2 -2.4 3.1 25 2 13 -1.5 3.4 1.4 4.0 26 2 14 -2.2 -6.1 6.7 9.3 27 2 15 7.7 5.4 3.2 9.9 28 2 16 8.1 8.7 6.6 13.6 29 2 17 7.2 0.9 -3.5 8.0 30 2 18 0.9 4.7 -9.4 10.6 31 2 19 1.9 -10.6 5.8 12.2 32 2 20 8.7 -2.3 -11.8 14.9 33 2 21 -2.0 -10.3 -5.7 12.0 34 2 22 -4.2 -9.8 -5.4 12.0 35 2 23 5.7 -8.2 -5.7 11.6 36 2 24 7.5 -13.6 -14.0 20.9 37 3 1 -3.6 -6.8 -3.9 8.6 38 3 2 -2.5 -2.2 -3.7 5.0 39 3 3 -1.8 -3.1 -9.4 10.0 40 3 4 1.3 -5.4 -2.4 6.0 41 3 5 -2.8 -3.6 -2.7 5.3 42 3 6 -9.7 -0.8 4.1 10.5 43 3 7 -7.0 -2.2 -2.1 7.7 44 3 8 -5.8 -1.6 -3.1 6.8 45 3 9 -0.0 1.1 -6.0 6.1 46 3 10 -4.0 0.3 -8.0 9.0 47 3 11 -4.2 4.9 -7.6 10.0 48 3 12 2.6 2.1 -3.3 4.7 49 3 13 7.5 -6.0 15.6 18.3 50 3 14 14.3 6.0 42.9 45.6 51 3 15 3.1 2.0 10.3 10.9 52 3 16 7.5 6.9 10.2 14.4 53 3 17 5.7 8.3 12.6 16.2 54 3 18 1.2 8.8 18.3 20.4 55 3 19 7.9 9.2 9.3 15.3 56 3 20 8.4 9.4 6.1 14.0 57 3 21 5.2 6.7 9.8 13.0 58 3 22 7.5 9.3 16.1 20.0 59 3 23 -1.2 5.4 11.0 12.4 60 3 24 3.5 4.8 14.7 15.9 61 3 25 -0.3 5.4 3.7 6.5 62 3 26 -12.8 4.1 12.4 18.3 63 3 27 2.2 4.6 10.7 11.8 64 3 28 17.1 12.5 7.5 22.5 65 3 29 13.8 11.6 3.2 18.3 66 3 30 13.4 -14.1 13.5 23.7 67 3 31 -0.8 8.0 10.4 13.1 68 3 32 5.9 3.5 4.0 7.9 69 3 33 3.7 5.8 4.2 8.1 70 3 34 0.1 -3.9 9.2 10.0 71 3 35 4.9 3.4 -2.1 6.3 72 3 36 -7.9 -4.6 1.7 9.3 73 3 37 3.9 -3.3 -17.1 17.8 74 3 38 -10.1 -2.5 -18.0 20.8 75 3 39 -11.0 -4.6 -13.6 18.1 76 3 40 5.3 -8.1 -12.4 15.7 77 3 41 -9.1 -13.9 -2.3 16.8 78 3 42 -4.4 -3.5 -4.6 7.2 79 3 43 -10.3 -6.1 -2.3 12.2 80 3 44 -3.6 -9.7 -3.7 10.9 81 3 45 -0.4 -8.2 -12.8 15.2 82 3 46 0.5 -7.8 -9.1 12.0 83 3 47 -4.3 -6.0 -13.2 15.1 84 3 48 -1.8 -5.0 -11.0 12.2 85 4 1 -8.9 -1.5 7.0 11.4 86 4 2 -3.4 2.4 -1.9 4.6 87 4 3 0.1 0.2 8.0 8.0 88 4 4 -4.8 0.2 -2.1 5.2 89 4 5 -0.7 -1.1 -0.4 1.4 90 4 6 -2.6 -2.0 -8.6 9.2 91 4 7 6.3 -4.6 -9.2 12.1 92 4 8 5.1 -0.1 -12.1 13.1 93 4 9 -0.7 -1.8 -11.5 11.6 94 4 10 -7.0 -1.8 -12.1 14.1 95 4 11 0.8 0.4 -10.6 10.7 96 4 12 -3.0 -2.3 -2.0 4.3 97 4 13 7.7 0.1 9.2 12.0 98 4 14 12.9 4.3 -0.1 13.6 99 4 15 6.1 10.4 8.3 14.7 100 4 16 7.0 11.4 7.2 15.2 101 4 17 12.8 12.6 2.0 18.1 102 4 18 7.8 11.5 18.2 22.9 103 4 19 9.1 11.4 9.6 17.5 104 4 20 22.4 15.7 2.7 27.5 105 4 21 20.3 10.8 8.2 24.4 106 4 22 6.9 12.9 7.6 16.5 107 4 23 9.3 12.1 9.2 17.8 108 4 24 11.4 11.5 8.6 18.4 109 4 25 2.0 13.1 49.4 51.1 110 4 26 3.3 4.9 7.2 9.3 111 4 27 10.9 1.0 6.4 12.7 112 4 28 21.9 9.6 1.5 24.0 113 4 29 18.4 18.7 -39.8 47.6 114 4 30 9.9 10.4 16.0 21.5 115 4 31 6.5 7.5 10.4 14.3 116 4 32 6.6 7.7 5.8 11.7 117 4 33 0.1 2.0 1.6 2.6 118 4 34 8.2 6.2 -2.2 10.5 119 4 35 -17.7 2.2 -13.9 22.6 120 4 36 1.0 -7.0 -1.5 7.2 121 4 37 -3.1 -17.4 -9.9 20.3 122 4 38 -7.5 -6.4 -9.8 13.9 123 4 39 -7.1 -5.0 -17.6 19.6 124 4 40 -16.7 -4.7 -14.0 22.3 125 4 41 -6.3 -5.3 -4.7 9.5 126 4 42 3.2 -6.2 -11.6 13.5 127 4 43 -6.3 -5.8 -11.9 14.7 128 4 44 -6.1 -2.7 -7.9 10.3 129 4 45 -1.6 -3.6 -9.0 9.9 130 4 46 1.6 -5.5 -9.8 11.3 131 4 47 -7.7 -5.2 -3.1 9.8 132 4 48 -13.2 -3.5 -5.2 14.6 133 5 1 7.1 4.0 3.3 8.8 134 5 2 15.0 6.4 1.7 16.4 135 5 3 2.9 6.5 11.1 13.1 136 5 4 4.8 7.5 3.3 9.5 137 5 5 -0.0 5.5 10.8 12.1 138 5 6 6.4 -0.7 0.3 6.4 139 5 7 -7.0 3.2 -2.4 8.1 140 5 8 -10.4 -4.4 -9.6 14.8 141 5 9 -6.6 -8.8 -9.3 14.5 142 5 10 -5.8 -8.5 -13.4 16.9 143 5 11 0.5 -9.3 -8.7 12.7 144 5 12 -1.0 -2.3 -8.9 9.3 145 5 13 7.3 1.7 -5.0 9.0 146 5 14 -1.0 5.8 -9.1 10.8 147 5 15 10.4 4.4 -8.5 14.1 148 5 16 4.3 9.3 -4.6 11.3 149 5 17 7.5 14.1 -0.0 16.0 150 5 18 9.7 3.1 227.7 227.9 151 5 19 1.9 0.7 -6.9 7.2 152 5 20 2.8 -0.6 -15.2 15.5 153 5 21 10.9 -0.8 -12.1 16.3 154 5 22 4.2 -2.5 -10.0 11.2 155 5 23 -4.0 -6.3 -11.9 14.1 156 5 24 -2.0 -9.5 -15.5 18.3 157 5 25 2.0 -9.0 -13.9 16.7 158 5 26 7.8 0.8 -2.4 8.2 159 5 27 13.2 -6.8 -11.0 18.5 160 5 28 15.4 4.2 -5.0 16.7 161 5 29 14.1 4.3 -2.8 15.0 162 5 30 5.5 4.5 13.6 15.3 163 5 31 12.1 6.0 5.3 14.5 164 5 32 8.3 8.3 6.8 13.6 165 5 33 -0.4 8.3 6.1 10.3 166 5 34 0.7 -0.5 -0.9 1.2 167 5 35 4.2 3.1 -17.4 18.1 168 5 36 5.8 -4.1 -10.7 12.9 169 5 37 -10.2 -18.2 0.5 20.9 170 5 38 -3.1 -12.3 -7.1 14.5 171 5 39 -7.9 -6.1 7.9 12.8 172 5 40 -12.2 -5.1 -4.0 13.8 173 5 41 -7.4 -4.1 0.4 8.5 174 5 42 -7.3 2.7 1.4 7.9 175 5 43 -4.6 0.9 0.8 4.8 176 5 44 -8.0 0.5 4.5 9.2 177 5 45 -3.9 1.1 2.0 4.5 178 5 46 -4.6 0.8 0.3 4.7 179 5 47 12.3 -2.2 -9.1 15.5 180 5 48 -4.2 5.9 -3.5 8.0 181 6 1 24.6 10.1 -0.1 26.5 182 6 2 24.0 7.1 2.0 25.2 183 6 3 19.1 10.3 -0.1 21.7 184 6 4 9.7 10.0 -7.2 15.7 185 6 5 11.2 7.2 21.7 25.5 186 6 6 14.6 5.6 7.5 17.4 187 6 7 -4.6 1.9 7.0 8.7 188 6 8 -3.9 -9.8 7.4 12.9 189 6 9 -9.8 -8.5 -12.2 17.8 190 6 10 -12.1 -11.7 -7.3 18.3 191 6 11 -15.9 -11.2 -20.1 28.0 192 6 12 -9.2 -11.3 -20.0 24.8 193 6 13 -3.0 -17.1 -14.9 22.9 194 6 14 -9.5 -4.1 -8.0 13.1 195 6 15 0.7 -9.0 -9.4 13.1 196 6 16 14.0 -6.7 -14.2 21.0 197 6 17 -11.6 -10.9 -26.0 30.5 198 6 18 -3.3 -11.9 -13.1 18.0 199 6 19 -13.3 -17.5 -20.2 29.9 200 6 20 -9.5 -18.4 -23.4 31.3 201 6 21 -15.0 -15.5 1.5 21.7 202 6 22 -20.5 -17.3 -3.8 27.1 203 6 23 -21.4 -10.8 4.5 24.4 204 6 24 -22.5 1.4 5.8 23.3 205 6 25 -16.0 -1.2 0.7 16.1 206 6 26 -17.6 -8.5 8.1 21.1 207 6 27 -8.9 -6.5 5.1 12.2 208 6 28 -8.9 -6.1 6.0 12.3 209 6 29 -1.4 3.3 -20.8 21.1 210 6 30 5.0 5.4 44.8 45.4 211 6 31 12.7 1.0 -3.5 13.2 212 6 32 12.5 -0.4 2.3 12.7 213 6 33 9.0 5.2 -2.5 10.7 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11 7 -2 11 8 5 11 9 -7 11 10 5 11 11 2 11 12 5 11 13 4 11 14 3 11 15 6 11 16 9 11 17 2 11 18 3 11 19 1 11 20 2 11 21 5 11 22 5 11 23 2 11 24 1 11 25 1 11 26 0 11 27 -2 11 28 -2 11 29 0 11 30 -1 11 31 0 11 32 0 11 33 -1 11 34 -3 11 35 -1 11 36 -1 11 37 0 11 38 0 11 39 -2 11 40 -3 11 41 -1 11 42 0 11 43 0 11 44 -1 11 45 -2 11 46 -1 11 47 -1 11 48 -1 11 49 0 11 50 -1 11 51 -3 11 52 -1 11 53 -3 11 54 -1 11 55 -1 11 56 -1 11 57 -1 11 58 0 11 59 3 11 60 -3 11 61 0 11 62 -4 11 63 -2 11 64 -2 11 65 0 11 66 -1 11 67 -1 11 68 -2 11 69 -1 12 1 -4 12 2 56 12 3 6 12 4 2 12 5 3 12 6 -1 12 7 0 12 8 4 12 9 1 12 10 1 12 11 0 12 12 4 12 13 0 12 14 4 12 15 6 12 16 0 12 17 2 12 18 7 12 19 5 12 20 3 12 21 3 12 22 -1 12 23 6 12 24 0 12 25 -1 12 26 1 12 27 -1 12 28 -1 12 29 -1 12 30 -4 12 31 -2 12 32 0 12 33 3 12 34 0 12 35 -1 12 36 -2 12 37 0 12 38 0 12 39 -1 12 40 -3 12 41 -1 12 42 0 12 43 0 12 44 0 12 45 -1 12 46 -2 12 47 -1 12 48 0 12 49 -4 12 50 -1 12 51 -1 12 52 -4 12 53 -4 12 54 2 12 55 -2 12 56 -2 12 57 0 12 58 -2 12 59 0 12 60 -1 12 61 -3 12 62 -2 12 63 0 12 64 -3 12 65 1 12 66 -1 12 67 -3 12 68 -1 12 69 0 Adjuster movements: rms = 17.4 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20040809-151552 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1