![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050912-025747.fits
Reduced on 20050912-122406 by janw on moana.jach.hawaii.edu
Reduction code id: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 256 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050912-025747.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 1.9 |
| data.pointing_offset_y | 4.9 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.70 |
| data.trim_box | |
| data.trim_pixels | |
| err.cal_max_damp | 1.02 |
| err.cal_max_dphi | 10.0 |
| err.tracking_max_range | 4.0 |
| err.tracking_max_rms | 2.0 |
| geom.distance_source | 695.0 |
| geom.focal_bigf | 180.0 |
| geom.focal_littlef | 5.4 |
| geom.mirror_position_x | +1.850 |
| geom.mirror_position_y | +3.861 |
| geom.mirror_position_z | -0.240 |
| geom.primary_diameter | 15.0 |
| geom.secondary_shadow | 1.0 |
| int.secondary_defocus | 0.033700000000000001 |
| out.aperture_as_text | 0 |
| out.delete_old | 1 |
| out.farfield_conts | 1 2 3 4 5 10 20 30 40 50 60 70 80 90 |
| out.graph | 2 |
| out.loglevel | 8 |
| out.lut | heat |
| out.plot_device | gif |
| out.plot_height | 600 |
| out.plot_range | 80 |
| out.plot_range_largescale | 25 |
| out.plot_width | 800 |
| out.save_results | 1 |
| out.subdirspec | d |
| out.thumbnails | 1 |
| out.topdir | /home/janw/rxh3/Rxh3red |
| pan.bad_motor_file | |
| pan.edge_factor | 1.0 |
| pan.max_move | 100 |
| pan.min_weight | 0.1 |
| pan.panel_scale | 3.0 |
| pan.zernikes_to_ignore | |
| pan.zero_wt_outside | 1 |
Reduction started at: 20050912-122406
Reading data from rxh3-20050912-025747.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 = 2650102644.1 max = 1873525193807.1 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.700 mm
----------------- Data Summary ---------------------
Number of samples: 1445950
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 -3.00293 2.88574 0.00214
loimag -2.97363 3.00537 -0.00421
hireal -5.00000 4.99756 0.00771
hiimag -5.00000 4.99756 0.02205
xpos -659194911208.41846 1873525193807.10498 17060005304.81281
ypos -7859913655.91127 2650102644.07709 -28693374.25713
plock160 0.83252 2.28027 1.58005
lorefpwr -4.49219 2.96143 2.33451
losigpwr -4.56787 -0.39551 -4.32509
hirefpwr -4.39453 2.95410 2.36060
hisigpwr -4.48730 4.99756 -1.81918
encltemp -1.44043 1.75781 -0.78641
flags 0.00000 256.00000 2.12455
phi-lock -1.52344 -0.04639 -0.90346
sindex 0.00000 249.00000 123.39835
time 0.00000 4633252634.01771 4550223303.41573
zeropt -0.00244 5.00977 -0.00006
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
!!!Warning!!! encltemp min less than 28
!!!Warning!!! encltemp max less than 28
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 250 rows
There are 238 data rows and 12 calibrator rows
Calibrator rows: 37 58 79 100 121 142 163 184 205 226 247 249
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 20.24995 arcsec
Mean row spacing = 20.25792 arcsec (alternate estimator)
Mean tracking incline = 38366954.95220 arcsec
Mean pointing range = 1.47713 arcsec
Mean pointing rms = 0.22143 arcsec
This map *probably* has inclined rows
!!!Warning!!! Bad tracking on row 1: range = 19.7897 > 4.0
!!!Warning!!! Bad tracking on row 1: rms = 2.02771 > 2.0
!!!Warning!!! Bad tracking on row 3: range = 19.911 > 4.0
!!!Warning!!! Bad tracking on row 3: rms = 2.07359 > 2.0
!!!Warning!!! Bad tracking on row 5: range = 19.6026 > 4.0
!!!Warning!!! Bad tracking on row 5: rms = 2.11817 > 2.0
!!!Warning!!! Bad tracking on row 6: range = 19.636 > 4.0
!!!Warning!!! Bad tracking on row 6: rms = 3.02081 > 2.0
!!!Warning!!! Bad tracking on row 7: range = 22.3228 > 4.0
!!!Warning!!! Bad tracking on row 9: range = 26.496 > 4.0
!!!Warning!!! Bad tracking on row 9: rms = 3.68678 > 2.0
!!!Warning!!! Bad tracking on row 11: range = 19.4477 > 4.0
!!!Warning!!! Bad tracking on row 11: rms = 2.09711 > 2.0
!!!Warning!!! Bad tracking on row 13: range = 33.1984 > 4.0
!!!Warning!!! Bad tracking on row 13: rms = 6.10273 > 2.0
!!!Warning!!! Bad tracking on row 14: range = 19.8746 > 4.0
!!!Warning!!! Bad tracking on row 14: rms = 3.05703 > 2.0
!!!Warning!!! Bad tracking on row 16: range = 19.7712 > 4.0
!!!Warning!!! Bad tracking on row 16: rms = 2.17637 > 2.0
!!!Warning!!! Bad tracking on row 17: range = 20.1755 > 4.0
!!!Warning!!! Bad tracking on row 17: rms = 3.05428 > 2.0
Applying pointing shifts: (1.9, 4.9 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
!Warning! Found 6 bad patterns
(line 387 of data.cxx)
!Warning! Found 36 bad patterns
(line 387 of data.cxx)
!Warning! Found 10 bad patterns
(line 387 of data.cxx)
!Warning! Found 81 bad patterns
(line 387 of data.cxx)
!Warning! Found 10 bad patterns
(line 387 of data.cxx)
!Warning! Found 37 bad patterns
(line 387 of data.cxx)
!Warning! Found 37 bad patterns
(line 387 of data.cxx)
!Warning! Found 139 bad patterns
(line 387 of data.cxx)
!Warning! Found 7 bad patterns
(line 387 of data.cxx)
!Warning! Found 75 bad patterns
(line 387 of data.cxx)
!Warning! Found 6 bad patterns
(line 387 of data.cxx)
!Warning! Found 79 bad patterns
(line 387 of data.cxx)
!Warning! Found 7 bad patterns
(line 387 of data.cxx)
!Warning! Found 37 bad patterns
(line 387 of data.cxx)
!Warning! Found 36 bad patterns
(line 387 of data.cxx)
!Warning! Found 6 bad patterns
(line 387 of data.cxx)
!Warning! Found 38 bad patterns
(line 387 of data.cxx)
!Warning! Found 37 bad patterns
(line 387 of data.cxx)
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 12000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 87494 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 87494 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 = 1.87353e+12 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 = 2.74789 at (0.0, 0.0) arcsec
Real: mean = 0.000268461 sum of squares = 1883.78
Imag: mean = 5.35628e-05 sum of squares = 1967.86
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 = 2.72996 at (0.0, 0.0) arcsec
Real: mean = 0.00047736 sum of squares = 1872.02
Imag: mean = 0.000164599 sum of squares = 2002.35
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 = 2.71834 at (0.0, 0.0) arcsec
Real: mean = 0.000232279 sum of squares = 2007.48
Imag: mean = 0.000337068 sum of squares = 1892.24
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 = 2.74991 at (0.0, 0.0) arcsec
Real: mean = 9.69082e-05 sum of squares = 2014.59
Imag: mean = 0.000206056 sum of squares = 1916.65
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 = 2.74238 at (0.0, 0.0) arcsec
Real: mean = 0.000231122 sum of squares = 1899.55
Imag: mean = 0.000148391 sum of squares = 2062.65
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 = 2.79495 at (0.0, 0.0) arcsec
Real: mean = 0.000186151 sum of squares = 1976.5
Imag: mean = 0.000101224 sum of squares = 2021.2
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 = 2.85455 at (0.0, 0.0) arcsec
Real: mean = 0.000252326 sum of squares = 2098.79
Imag: mean = -1.64442e-05 sum of squares = 1935.77
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 = 2.83257 at (0.0, 0.0) arcsec
Real: mean = 0.000397917 sum of squares = 2030.52
Imag: mean = 8.03873e-05 sum of squares = 2039.56
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 = 2.77662 at (0.0, 0.0) arcsec
Real: mean = 0.000377728 sum of squares = 1965.84
Imag: mean = 0.000288447 sum of squares = 2142.8
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 = 2.80089 at (0.0, 0.0) arcsec
Real: mean = 0.000227592 sum of squares = 2104.69
Imag: mean = 0.000217451 sum of squares = 2049.47
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 = 2.83693 at (0.0, 0.0) arcsec
Real: mean = 0.000286499 sum of squares = 2175.21
Imag: mean = 0.000207667 sum of squares = 2020.1
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 = 2.86956 at (0.0, 0.0) arcsec
Real: mean = 0.000112763 sum of squares = 2065.4
Imag: mean = 0.000334198 sum of squares = 2178.12
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 = 2.88459 at (0.0, 0.0) arcsec
Real: mean = 6.64386e-05 sum of squares = 2081.81
Imag: mean = -4.5658e-06 sum of squares = 2209.79
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 = 2.90894 at (0.0, 0.0) arcsec
Real: mean = 0.000406789 sum of squares = 2247.78
Imag: mean = 1.52461e-05 sum of squares = 2099.79
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 = 2.91723 at (0.0, 0.0) arcsec
Real: mean = 0.000222213 sum of squares = 2234.9
Imag: mean = 9.25686e-05 sum of squares = 2167.03
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 = 2.90085 at (0.0, 0.0) arcsec
Real: mean = 0.000445038 sum of squares = 2138.25
Imag: mean = 7.61552e-05 sum of squares = 2315.98
Masking frequency index 0
Mask scale size = 6.74829e+06
Masking frequency index 1
Mask scale size = 6.74846e+06
Masking frequency index 2
Mask scale size = 6.74863e+06
Masking frequency index 3
Mask scale size = 6.7488e+06
Masking frequency index 4
Mask scale size = 6.74897e+06
Masking frequency index 5
Mask scale size = 6.74913e+06
Masking frequency index 6
Mask scale size = 6.7493e+06
Masking frequency index 7
Mask scale size = 6.74947e+06
Masking frequency index 8
Mask scale size = 6.74964e+06
Masking frequency index 9
Mask scale size = 6.74981e+06
Masking frequency index 10
Mask scale size = 6.74997e+06
Masking frequency index 11
Mask scale size = 6.75014e+06
Masking frequency index 12
Mask scale size = 6.75031e+06
Masking frequency index 13
Mask scale size = 6.75048e+06
Masking frequency index 14
Mask scale size = 6.75065e+06
Masking frequency index 15
Mask scale size = 6.75081e+06
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 1.07666
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.976562
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 1.08154
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.617676
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.661621
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 1.04004
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 1.05713
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.722656
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.981445
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.991211
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 1.00098
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 1.08154
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 1.02539
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 1.1499
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 1.18652
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 1.25488
Median point-to-point PLL voltage change: 0.012207
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -0.64115 124.62
Freq 1: Shift, scale = -1.51 124.05
Freq 2: Shift, scale = -2.368 123.03
Freq 3: Shift, scale = 3.0642 124.44
Freq 4: Shift, scale = 2.1996 126.11
Freq 5: Shift, scale = 1.3307 126.12
Freq 6: Shift, scale = 0.46464 126.03
Freq 7: Shift, scale = -0.39756 126.18
Freq 8: Shift, scale = -1.2573 126.95
Freq 9: Shift, scale = -2.1189 128.4
Freq 10: Shift, scale = -2.9888 128.97
Freq 11: Shift, scale = 2.4337 128.62
Freq 12: Shift, scale = 1.5822 129.56
Freq 13: Shift, scale = 0.71341 131.22
Freq 14: Shift, scale = -0.15996 132.34
Freq 15: Shift, scale = -1.0285 132.79
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: -0.254 radians
x offset: 0.0695 arcsec
y offset: 0.138 arcsec
defocus: 0.000266 mm
Estimated x pointing error is 1.97 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.038 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.7 mm (used 2.7 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.259 radians
x offset: 0.066 arcsec
y offset: 0.143 arcsec
defocus: 0.000646 mm
Estimated x pointing error is 1.966 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.043 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.701 mm (used 2.7 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.251 radians
x offset: 0.057 arcsec
y offset: 0.161 arcsec
defocus: 0.00372 mm
Estimated x pointing error is 1.957 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.061 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.704 mm (used 2.7 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.238 radians
x offset: 0.0502 arcsec
y offset: 0.154 arcsec
defocus: 0.0028 mm
Estimated x pointing error is 1.95 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.054 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.703 mm (used 2.7 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.241 radians
x offset: 0.0475 arcsec
y offset: 0.139 arcsec
defocus: 0.000634 mm
Estimated x pointing error is 1.947 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.039 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.701 mm (used 2.7 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.248 radians
x offset: 0.0477 arcsec
y offset: 0.129 arcsec
defocus: -0.000699 mm
Estimated x pointing error is 1.948 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.029 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.699 mm (used 2.7 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.251 radians
x offset: 0.0441 arcsec
y offset: 0.138 arcsec
defocus: -0.000422 mm
Estimated x pointing error is 1.944 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.038 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.7 mm (used 2.7 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.248 radians
x offset: 0.0336 arcsec
y offset: 0.144 arcsec
defocus: 0.00197 mm
Estimated x pointing error is 1.934 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.044 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.702 mm (used 2.7 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.245 radians
x offset: 0.0199 arcsec
y offset: 0.145 arcsec
defocus: 0.000817 mm
Estimated x pointing error is 1.92 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.045 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.701 mm (used 2.7 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.245 radians
x offset: 0.0115 arcsec
y offset: 0.121 arcsec
defocus: -0.000894 mm
Estimated x pointing error is 1.912 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.021 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.699 mm (used 2.7 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.252 radians
x offset: 0.00908 arcsec
y offset: 0.0977 arcsec
defocus: -0.00231 mm
Estimated x pointing error is 1.909 arcsec (used 1.9 arcsec)
Estimated y pointing error is 4.998 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.698 mm (used 2.7 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.25 radians
x offset: 0.00578 arcsec
y offset: 0.104 arcsec
defocus: -0.00256 mm
Estimated x pointing error is 1.906 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.004 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.697 mm (used 2.7 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.236 radians
x offset: -0.00188 arcsec
y offset: 0.107 arcsec
defocus: -0.00192 mm
Estimated x pointing error is 1.898 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.007 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.698 mm (used 2.7 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.241 radians
x offset: -0.0183 arcsec
y offset: 0.104 arcsec
defocus: -0.00237 mm
Estimated x pointing error is 1.882 arcsec (used 1.9 arcsec)
Estimated y pointing error is 5.004 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.698 mm (used 2.7 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.25 radians
x offset: -0.0214 arcsec
y offset: 0.0769 arcsec
defocus: -0.00374 mm
Estimated x pointing error is 1.879 arcsec (used 1.9 arcsec)
Estimated y pointing error is 4.977 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.696 mm (used 2.7 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.254 radians
x offset: -0.0262 arcsec
y offset: 0.0626 arcsec
defocus: -0.00498 mm
Estimated x pointing error is 1.874 arcsec (used 1.9 arcsec)
Estimated y pointing error is 4.963 arcsec (used 4.9 arcsec)
Estimated defocus error is 2.695 mm (used 2.7 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 -0.00861 piston
1 1 -0.01151 tilt_x
1 -1 -0.01787 tilt_y
2 2 -0.23510 astigmatism_0
2 0 -0.01508 curvature
2 -2 -0.04187 astigmatism45
3 3 -0.04697 trefoil_0
3 1 -0.04918 coma_x
3 -1 -0.04636 coma_y
3 -3 0.09182 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 -0.00822 piston
1 1 -0.01179 tilt_x
1 -1 -0.01819 tilt_y
2 2 -0.23254 astigmatism_0
2 0 -0.01451 curvature
2 -2 -0.04220 astigmatism45
3 3 -0.04759 trefoil_0
3 1 -0.04926 coma_x
3 -1 -0.04475 coma_y
3 -3 0.08971 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 -0.00807 piston
1 1 -0.01186 tilt_x
1 -1 -0.01732 tilt_y
2 2 -0.22943 astigmatism_0
2 0 -0.01431 curvature
2 -2 -0.04251 astigmatism45
3 3 -0.04945 trefoil_0
3 1 -0.04868 coma_x
3 -1 -0.04125 coma_y
3 -3 0.08513 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 -0.00835 piston
1 1 -0.01118 tilt_x
1 -1 -0.01629 tilt_y
2 2 -0.23038 astigmatism_0
2 0 -0.01490 curvature
2 -2 -0.04285 astigmatism45
3 3 -0.05022 trefoil_0
3 1 -0.04656 coma_x
3 -1 -0.04005 coma_y
3 -3 0.08434 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 -0.00862 piston
1 1 -0.01118 tilt_x
1 -1 -0.01658 tilt_y
2 2 -0.23274 astigmatism_0
2 0 -0.01527 curvature
2 -2 -0.04261 astigmatism45
3 3 -0.05017 trefoil_0
3 1 -0.04748 coma_x
3 -1 -0.04279 coma_y
3 -3 0.08486 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 -0.00844 piston
1 1 -0.01117 tilt_x
1 -1 -0.01744 tilt_y
2 2 -0.23363 astigmatism_0
2 0 -0.01491 curvature
2 -2 -0.04122 astigmatism45
3 3 -0.04689 trefoil_0
3 1 -0.04781 coma_x
3 -1 -0.04477 coma_y
3 -3 0.08750 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 -0.00816 piston
1 1 -0.01165 tilt_x
1 -1 -0.01800 tilt_y
2 2 -0.23241 astigmatism_0
2 0 -0.01443 curvature
2 -2 -0.04041 astigmatism45
3 3 -0.04626 trefoil_0
3 1 -0.04947 coma_x
3 -1 -0.04499 coma_y
3 -3 0.08696 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 -0.00815 piston
1 1 -0.01109 tilt_x
1 -1 -0.01708 tilt_y
2 2 -0.23015 astigmatism_0
2 0 -0.01455 curvature
2 -2 -0.04245 astigmatism45
3 3 -0.04870 trefoil_0
3 1 -0.04741 coma_x
3 -1 -0.04172 coma_y
3 -3 0.08387 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 -0.00830 piston
1 1 -0.01006 tilt_x
1 -1 -0.01675 tilt_y
2 2 -0.23015 astigmatism_0
2 0 -0.01477 curvature
2 -2 -0.04306 astigmatism45
3 3 -0.04754 trefoil_0
3 1 -0.04494 coma_x
3 -1 -0.04315 coma_y
3 -3 0.08333 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 -0.00860 piston
1 1 -0.01003 tilt_x
1 -1 -0.01618 tilt_y
2 2 -0.23135 astigmatism_0
2 0 -0.01524 curvature
2 -2 -0.04273 astigmatism45
3 3 -0.04643 trefoil_0
3 1 -0.04483 coma_x
3 -1 -0.04375 coma_y
3 -3 0.08596 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 -0.00843 piston
1 1 -0.01000 tilt_x
1 -1 -0.01741 tilt_y
2 2 -0.23298 astigmatism_0
2 0 -0.01479 curvature
2 -2 -0.04132 astigmatism45
3 3 -0.04496 trefoil_0
3 1 -0.04470 coma_x
3 -1 -0.04690 coma_y
3 -3 0.08736 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 -0.00823 piston
1 1 -0.01003 tilt_x
1 -1 -0.01809 tilt_y
2 2 -0.23300 astigmatism_0
2 0 -0.01453 curvature
2 -2 -0.04203 astigmatism45
3 3 -0.04467 trefoil_0
3 1 -0.04471 coma_x
3 -1 -0.04673 coma_y
3 -3 0.08565 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 -0.00822 piston
1 1 -0.01038 tilt_x
1 -1 -0.01748 tilt_y
2 2 -0.22876 astigmatism_0
2 0 -0.01460 curvature
2 -2 -0.04329 astigmatism45
3 3 -0.04493 trefoil_0
3 1 -0.04531 coma_x
3 -1 -0.04501 coma_y
3 -3 0.08213 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 -0.00836 piston
1 1 -0.01049 tilt_x
1 -1 -0.01715 tilt_y
2 2 -0.22907 astigmatism_0
2 0 -0.01476 curvature
2 -2 -0.04395 astigmatism45
3 3 -0.04546 trefoil_0
3 1 -0.04633 coma_x
3 -1 -0.04588 coma_y
3 -3 0.08210 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 -0.00859 piston
1 1 -0.00995 tilt_x
1 -1 -0.01666 tilt_y
2 2 -0.23138 astigmatism_0
2 0 -0.01512 curvature
2 -2 -0.04301 astigmatism45
3 3 -0.04413 trefoil_0
3 1 -0.04554 coma_x
3 -1 -0.04555 coma_y
3 -3 0.08526 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 -0.00842 piston
1 1 -0.00976 tilt_x
1 -1 -0.01738 tilt_y
2 2 -0.23428 astigmatism_0
2 0 -0.01478 curvature
2 -2 -0.04153 astigmatism45
3 3 -0.04391 trefoil_0
3 1 -0.04566 coma_x
3 -1 -0.04617 coma_y
3 -3 0.08822 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: 20.1 21.4 20.3 23.8 25.8 29.1 45.5 31.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.2 21.6 20.2 22.5 23.6 24.2 33.1 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.17 4.2 6.38 9.12 12.9 18 24.7 16.1
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.1 20.8 18.9 23.5 25.9 28.8 45.5 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.2 21.1 19.1 22.3 23.7 24.1 33.3 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.14 4.14 6.3 9.01 12.7 17.8 24.5 15.9
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.6 19 23.5 25.8 28.5 45.1 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.9 19.1 22.2 23.6 24.1 33.2 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.05 4 6.14 8.84 12.5 17.5 24.1 15.7
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 21.1 19.1 23.9 25.5 28.4 44.8 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 21.4 19.2 22.6 23.2 23.9 32.8 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.99 3.9 6.05 8.8 12.6 17.6 24.1 15.7
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 20.9 19.1 24.5 25.4 28.5 45.2 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 21.2 19.1 23.3 23.1 24 33 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.06 4.02 6.19 8.94 12.7 17.7 24.3 15.9
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.5 21.2 20.4 24.7 25.5 29 45.2 31.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.5 21.4 20.5 23.6 23.4 24.2 32.9 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.11 4.09 6.26 9 12.8 17.8 24.4 15.9
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.5 21.7 19.3 23.7 25.7 28.7 45.3 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.6 21.9 19.5 22.5 23.5 23.9 33.1 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.15 4.15 6.3 9 12.7 17.7 24.3 15.8
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.7 20.7 19 23.4 25.6 28.5 45.3 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 21 19.1 22.1 23.4 24.1 33.3 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.04 3.97 6.11 8.83 12.6 17.5 24.1 15.7
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.7 20.6 19 23.4 25.4 28.3 45 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 21 19.1 22.1 23.2 24 33 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.01 3.94 6.08 8.81 12.5 17.5 24 15.7
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 21 19.3 23.8 25.2 28.4 45.1 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 21.2 19.3 22.6 23.1 23.9 32.8 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.02 3.96 6.11 8.86 12.6 17.6 24.2 15.8
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 21.3 20.5 24.4 25.4 28.7 45.2 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 21.5 20.6 23.2 23.3 24.1 32.9 25.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.09 4.06 6.22 8.96 12.7 17.7 24.3 15.9
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 21 19.6 24.1 25.5 28.5 45 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.1 21.3 19.7 22.9 23.4 23.8 32.8 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.08 4.05 6.22 8.95 12.7 17.7 24.3 15.8
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 20.6 19.3 24.1 25.4 28.3 45 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.8 19.3 23 23.4 23.8 33 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.05 4 6.12 8.8 12.5 17.4 23.9 15.6
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.4 20.8 19 23.8 25.1 28.4 45 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.5 21.1 19 22.6 23.1 24.1 32.8 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.09 4.06 6.19 8.85 12.5 17.4 23.9 15.6
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.6 21 18.9 23.8 25.1 28.5 45.1 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.7 21.3 18.9 22.6 23.1 24 32.7 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.07 4.03 6.18 8.9 12.6 17.6 24.2 15.7
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.1 20.8 19.6 23.6 25.4 28.7 45.3 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.2 21 19.6 22.4 23.3 24 32.8 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.09 4.07 6.25 9 12.8 17.8 24.5 15.9
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 19.5 19.9 18 22.5 24.3 27.4 44 30
Mean deviation is -2.6451272631622933 microns
Taper = 10 dB, Ruze illumination-weighted rms = 28.4 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 = 24.1 micron
Centre pixel: 128.0 128.0 Value = 12640.9 (estimate), 15687.6 (perfect)
Strehl = 0.649294
Strehl ratio estimate = 0.6493
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 = 23.3 micron
Centre pixel: 128.0 128.0 Value = 10666.4 (estimate), 15687.6 (perfect)
Strehl = 0.462297
Strehl ratio estimate = 0.4623
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 -10.2 -3.5 -9.0 14.0
2 1 2 -0.6 -9.4 -3.9 10.2
3 1 3 1.5 -12.2 -6.2 13.7
4 1 4 0.4 3.8 11.1 11.7
5 1 5 -4.1 -4.1 -2.1 6.2
6 1 6 11.5 -5.9 -2.0 13.1
7 1 7 4.8 7.6 5.8 10.7
8 1 8 17.8 2.2 0.4 17.9
9 1 9 -45.4 10.8 -2.7 46.7
10 1 10 0.6 4.4 -0.6 4.5
11 1 11 3.1 7.4 0.1 8.0
12 1 12 13.3 7.3 1.8 15.3
13 2 1 1.1 4.3 3.0 5.4
14 2 2 -3.5 6.1 -4.8 8.5
15 2 3 -10.5 -5.5 -11.3 16.3
16 2 4 -10.4 -4.5 -10.1 15.2
17 2 5 -16.2 -8.9 -11.6 21.8
18 2 6 -4.0 -3.0 -4.5 6.7
19 2 7 -16.8 -9.6 1.3 19.4
20 2 8 1.2 14.8 1.1 14.9
21 2 9 -1.5 -3.6 0.8 4.0
22 2 10 3.3 0.8 -2.3 4.1
23 2 11 -1.9 -7.7 -2.6 8.3
24 2 12 -8.7 -0.3 -8.5 12.2
25 2 13 -1.2 2.9 4.6 5.6
26 2 14 -1.3 -1.5 1.4 2.4
27 2 15 12.1 2.6 -10.1 16.0
28 2 16 10.9 -3.4 -5.1 12.5
29 2 17 11.4 -3.1 -1.0 11.8
30 2 18 5.3 4.8 -13.7 15.4
31 2 19 1.4 -0.3 -6.5 6.6
32 2 20 8.8 -6.8 -5.5 12.4
33 2 21 -0.8 5.6 -4.6 7.3
34 2 22 5.9 -12.7 -16.3 21.5
35 2 23 6.4 -10.9 -8.0 15.0
36 2 24 -2.7 -5.1 8.7 10.4
37 3 1 -1.1 2.1 3.7 4.3
38 3 2 -1.6 2.6 3.1 4.4
39 3 3 -0.3 -1.8 -5.1 5.4
40 3 4 9.8 0.2 2.6 10.1
41 3 5 -0.7 -0.7 -12.0 12.1
42 3 6 1.9 -3.5 -0.7 4.1
43 3 7 1.2 -5.7 -2.3 6.3
44 3 8 -7.5 -4.4 6.9 11.0
45 3 9 -2.2 -6.3 -4.1 7.8
46 3 10 2.6 -6.4 -2.3 7.3
47 3 11 -8.0 -5.4 -8.4 12.8
48 3 12 -13.4 -0.3 -9.3 16.3
49 3 13 -6.5 -9.5 5.7 12.8
50 3 14 1.4 -1.8 -11.3 11.5
51 3 15 7.2 -1.9 0.5 7.4
52 3 16 7.1 -3.3 -6.7 10.3
53 3 17 2.4 -0.4 -2.3 3.4
54 3 18 4.9 1.4 11.9 12.9
55 3 19 6.3 1.5 10.6 12.4
56 3 20 -9.6 3.4 10.3 14.5
57 3 21 -6.7 3.2 10.5 12.9
58 3 22 7.6 2.2 9.7 12.5
59 3 23 1.6 5.3 5.0 7.5
60 3 24 8.9 6.6 14.1 18.0
61 3 25 10.6 9.5 1.4 14.3
62 3 26 6.1 2.9 6.0 9.1
63 3 27 10.4 3.6 1.8 11.2
64 3 28 13.6 3.6 7.6 16.0
65 3 29 4.6 6.4 8.1 11.3
66 3 30 6.8 -19.2 14.6 25.0
67 3 31 -10.5 -0.0 3.5 11.0
68 3 32 -6.7 -7.4 -1.6 10.1
69 3 33 4.4 -7.6 -10.5 13.7
70 3 34 8.1 3.5 11.3 14.3
71 3 35 -6.6 -1.0 -4.6 8.1
72 3 36 -0.1 -7.5 -10.6 13.0
73 3 37 -9.4 -6.9 -25.3 27.8
74 3 38 -7.9 -2.0 -10.1 13.0
75 3 39 3.9 -10.6 -9.8 14.9
76 3 40 -5.9 3.0 -8.3 10.6
77 3 41 -1.8 -0.1 -7.2 7.4
78 3 42 -1.5 2.8 0.6 3.3
79 3 43 6.2 -3.1 4.3 8.2
80 3 44 3.5 1.9 -0.4 4.0
81 3 45 5.7 2.0 -7.4 9.5
82 3 46 6.2 0.4 4.6 7.7
83 3 47 -3.5 -0.4 6.2 7.1
84 3 48 2.7 3.2 -6.8 8.0
85 4 1 -0.1 8.2 26.4 27.7
86 4 2 1.6 12.0 20.6 23.9
87 4 3 5.3 12.2 16.0 20.8
88 4 4 1.3 7.3 0.9 7.5
89 4 5 -2.8 5.0 9.2 10.9
90 4 6 -5.1 -0.6 5.7 7.6
91 4 7 -12.2 -4.7 3.8 13.6
92 4 8 -4.9 -1.5 -9.0 10.3
93 4 9 3.7 0.3 -5.8 6.9
94 4 10 -25.1 -8.7 0.8 26.6
95 4 11 -3.0 -8.5 -9.5 13.1
96 4 12 -4.5 -7.4 -2.6 9.0
97 4 13 -3.3 -4.1 -1.8 5.6
98 4 14 -1.9 -7.2 -12.7 14.7
99 4 15 -6.5 -11.1 -6.0 14.2
100 4 16 -3.5 -0.7 0.6 3.7
101 4 17 4.8 -3.1 6.1 8.3
102 4 18 -0.4 4.9 16.8 17.5
103 4 19 -3.4 3.9 16.8 17.6
104 4 20 15.5 12.0 11.3 22.6
105 4 21 18.4 12.5 20.5 30.3
106 4 22 -1.4 14.8 14.1 20.5
107 4 23 7.8 9.7 25.7 28.6
108 4 24 11.6 15.4 19.1 27.1
109 4 25 1.3 15.4 50.0 52.3
110 4 26 3.1 7.8 13.8 16.2
111 4 27 1.0 9.0 12.6 15.5
112 4 28 -7.1 1.9 8.0 10.9
113 4 29 0.6 2.9 -56.2 56.3
114 4 30 1.5 -5.3 1.6 5.8
115 4 31 -7.5 -6.3 -11.0 14.7
116 4 32 -3.5 -8.0 -9.5 12.9
117 4 33 -15.3 -4.4 -19.8 25.4
118 4 34 -11.0 -2.8 -21.8 24.6
119 4 35 -14.3 -0.7 -20.0 24.6
120 4 36 -10.2 -10.5 -1.1 14.7
121 4 37 -19.5 -8.3 -10.1 23.5
122 4 38 -12.1 -10.4 -14.4 21.5
123 4 39 -11.5 -12.7 -1.7 17.2
124 4 40 5.4 -12.9 -11.0 17.9
125 4 41 -16.9 -4.6 -29.1 34.0
126 4 42 -15.6 -13.2 -18.2 27.4
127 4 43 -12.4 -11.0 -16.3 23.2
128 4 44 -12.3 -2.0 -10.3 16.2
129 4 45 4.6 3.8 1.9 6.3
130 4 46 1.6 2.6 -1.6 3.4
131 4 47 -2.9 -0.5 18.0 18.3
132 4 48 -6.3 8.5 19.4 22.1
133 5 1 26.4 33.2 37.9 56.9
134 5 2 24.6 20.9 31.5 45.1
135 5 3 21.3 31.3 26.3 46.1
136 5 4 11.0 15.2 24.1 30.6
137 5 5 11.0 12.7 17.4 24.1
138 5 6 10.6 6.2 14.2 18.8
139 5 7 2.1 17.0 1.4 17.2
140 5 8 2.3 -0.8 0.8 2.5
141 5 9 -2.9 -5.4 -5.1 8.0
142 5 10 5.8 -7.4 -2.5 9.7
143 5 11 -3.1 -5.6 -11.6 13.3
144 5 12 -4.4 -3.7 -19.2 20.0
145 5 13 -1.3 -10.3 -8.4 13.4
146 5 14 -5.7 -11.4 -21.1 24.6
147 5 15 -0.1 -10.9 -7.7 13.3
148 5 16 -6.1 -0.3 -13.4 14.7
149 5 17 13.3 2.0 31.2 34.0
150 5 18 15.3 9.1 215.2 215.9
151 5 19 -3.9 6.7 13.5 15.6
152 5 20 7.1 5.3 5.5 10.5
153 5 21 16.8 14.2 25.8 33.9
154 5 22 13.2 19.9 21.9 32.4
155 5 23 16.4 19.6 36.5 44.6
156 5 24 20.7 14.4 31.5 40.3
157 5 25 18.3 20.7 29.2 40.2
158 5 26 13.1 9.8 26.9 31.5
159 5 27 2.1 13.6 9.7 16.9
160 5 28 8.9 2.8 15.6 18.2
161 5 29 4.4 4.1 -18.9 19.8
162 5 30 -0.1 -9.0 19.4 21.4
163 5 31 -22.3 -5.8 -0.9 23.0
164 5 32 -12.3 -9.1 1.3 15.3
165 5 33 -2.5 5.3 8.4 10.3
166 5 34 -3.3 -10.6 -6.6 12.9
167 5 35 -5.8 0.6 3.9 7.0
168 5 36 4.5 -4.4 7.3 9.7
169 5 37 -6.2 -3.9 -16.8 18.3
170 5 38 -18.1 -0.5 -7.5 19.5
171 5 39 -9.3 8.2 -30.4 32.8
172 5 40 -20.7 -11.7 -11.8 26.5
173 5 41 -8.8 -12.6 -6.4 16.6
174 5 42 -14.0 -11.9 -15.9 24.3
175 5 43 -15.1 -13.4 -15.4 25.3
176 5 44 -6.9 1.6 -12.1 14.0
177 5 45 13.2 5.1 5.7 15.2
178 5 46 6.1 23.5 9.3 26.0
179 5 47 19.5 16.4 22.5 34.0
180 5 48 15.1 35.8 32.3 50.6
181 6 1 22.6 36.7 50.3 66.3
182 6 2 16.2 25.1 45.1 54.1
183 6 3 17.3 23.2 23.9 37.5
184 6 4 22.5 15.2 17.0 32.0
185 6 5 19.3 16.0 -6.1 25.7
186 6 6 19.8 5.3 15.9 25.9
187 6 7 -0.0 3.3 -12.1 12.6
188 6 8 14.1 -12.1 5.0 19.2
189 6 9 -7.4 -15.7 -32.3 36.6
190 6 10 -3.8 -22.5 -18.0 29.1
191 6 11 -17.1 -30.3 -35.4 49.6
192 6 12 -15.0 -31.1 -51.1 61.6
193 6 13 -17.2 -28.8 -57.5 66.6
194 6 14 -20.2 -26.3 -73.1 80.2
195 6 15 -10.2 -34.0 -34.7 49.6
196 6 16 -0.1 -9.1 -24.2 25.9
197 6 17 1.4 -16.9 -15.4 22.9
198 6 18 19.7 1.3 -45.1 49.2
199 6 19 27.3 -3.6 14.2 31.0
200 6 20 10.3 12.6 27.4 31.9
201 6 21 21.8 10.8 9.3 26.1
202 6 22 27.6 8.9 8.2 30.1
203 6 23 30.6 13.9 25.8 42.4
204 6 24 26.9 22.4 24.9 43.0
205 6 25 19.5 18.5 17.3 32.0
206 6 26 13.8 15.8 29.3 36.0
207 6 27 15.3 17.7 22.4 32.4
208 6 28 -1.1 -5.5 18.4 19.3
209 6 29 5.9 41.0 4.0 41.6
210 6 30 0.4 10.5 64.1 64.9
211 6 31 -10.2 2.2 7.4 12.8
212 6 32 -1.0 -9.2 8.6 12.6
213 6 33 0.1 -7.2 1.7 7.4
214 6 34 31.1 -2.5 20.4 37.3
215 6 35 7.3 -13.8 -7.4 17.3
216 6 36 12.2 11.8 -18.4 25.0
217 6 37 -10.1 -12.5 -27.9 32.2
218 6 38 5.9 -37.4 -17.5 41.7
219 6 39 -8.2 -21.2 -30.0 37.6
220 6 40 -8.4 -18.9 -20.7 29.3
221 6 41 -3.9 -14.2 -19.5 24.4
222 6 42 -0.9 -12.7 -5.2 13.7
223 6 43 -3.4 -15.2 -6.2 16.8
224 6 44 2.4 -6.7 -20.7 21.9
225 6 45 16.7 4.3 1.0 17.2
226 6 46 6.4 22.8 8.2 25.0
227 6 47 19.5 15.6 33.1 41.4
228 6 48 19.7 37.5 48.7 64.6
229 7 1 47.8 65.3 89.8 120.9
230 7 2 39.9 58.1 80.8 107.2
231 7 3 25.9 51.9 62.9 85.6
232 7 4 29.0 25.0 65.4 75.8
233 7 5 -16.5 19.0 -7.7 26.3
234 7 6 4.5 -10.3 -2.6 11.5
235 7 7 -4.1 -14.7 -48.0 50.3
236 7 8 -5.8 -43.0 -54.3 69.5
237 7 9 -27.3 -45.4 -91.7 106.0
238 7 10 -33.8 -64.5 -94.3 119.1
239 7 11 -23.3 -62.0 -83.5 106.6
240 7 12 -32.0 -62.3 -82.3 108.0
241 7 13 -59.7 -68.3 -105.3 139.0
242 7 14 -46.2 -56.3 -82.8 110.2
243 7 15 -22.8 -64.4 -74.0 100.7
244 7 16 -36.6 -44.4 -81.1 99.4
245 7 17 -17.6 -32.8 -42.7 56.7
246 7 18 -19.3 -26.1 -52.3 61.5
247 7 19 7.0 -25.2 -9.8 27.9
248 7 20 2.2 -7.6 -15.2 17.2
249 7 21 22.1 -8.5 -6.1 24.4
250 7 22 18.3 -78.5 -17.0 82.3
251 7 23 23.9 -19.7 5.0 31.4
252 7 24 17.8 2.3 7.8 19.6
253 7 25 12.4 10.9 10.8 19.8
254 7 26 21.4 3.0 6.7 22.6
255 7 27 7.5 -0.1 3.8 8.4
256 7 28 1.2 -31.7 303.6 305.2
257 7 29 20.6 1.5 21.6 29.9
258 7 30 13.3 -27.3 11.2 32.4
259 7 31 -5.0 -12.3 -7.2 15.1
260 7 32 -10.3 -21.7 -5.0 24.5
261 7 33 -6.9 -20.4 -24.0 32.2
262 7 34 -11.6 -27.1 -34.4 45.3
263 7 35 -16.2 -35.4 -42.7 57.8
264 7 36 -22.4 -38.6 -45.6 63.8
265 7 37 -24.0 -39.3 -56.5 72.9
266 7 38 -25.6 -60.3 -58.1 87.5
267 7 39 -23.5 -57.8 -57.4 84.8
268 7 40 -34.0 -48.0 -77.4 97.2
269 7 41 -24.0 -48.1 -49.5 73.0
270 7 42 -12.1 -36.4 -64.9 75.4
271 7 43 -43.4 -33.1 -33.4 64.0
272 7 44 -19.6 -5.1 -25.3 32.4
273 7 45 2.2 -13.3 18.6 23.0
274 7 46 13.5 21.8 12.5 28.5
275 7 47 21.2 26.1 62.8 71.2
276 7 48 43.3 211.1 65.1 225.1
Creating sector-motor-move file
sector motor steps
1 1 20
1 2 7
1 3 8
1 4 5
1 5 4
1 6 6
1 7 19
1 8 15
1 9 7
1 10 7
1 11 7
1 12 5
1 13 24
1 14 17
1 15 12
1 16 13
1 17 7
1 18 4
1 19 27
1 20 20
1 21 14
1 22 15
1 23 11
1 24 6
1 25 7
1 26 4
1 27 3
1 28 0
1 29 2
1 30 0
1 31 8
1 32 9
1 33 6
1 34 4
1 35 3
1 36 1
1 37 9
1 38 6
1 39 7
1 40 6
1 41 3
1 42 0
1 43 11
1 44 10
1 45 8
1 46 8
1 47 2
1 48 0
1 49 -1
1 50 0
1 51 0
1 52 -1
1 53 1
1 54 -1
1 55 0
1 56 0
1 57 0
1 58 -1
1 59 -3
1 60 -2
1 61 1
1 62 0
1 63 0
1 64 -1
1 65 0
1 66 0
1 67 0
1 68 0
1 69 2
2 1 -16
2 2 -13
2 3 -1
2 4 1
2 5 -3
2 6 4
2 7 -14
2 8 -4
2 9 -1
2 10 -3
2 11 1
2 12 0
2 13 0
2 14 -3
2 15 1
2 16 4
2 17 1
2 18 6
2 19 -2
2 20 5
2 21 -5
2 22 -1
2 23 4
2 24 5
2 25 0
2 26 0
2 27 0
2 28 -2
2 29 0
2 30 -1
2 31 0
2 32 5
2 33 0
2 34 1
2 35 -1
2 36 -3
2 37 4
2 38 1
2 39 3
2 40 1
2 41 0
2 42 -1
2 43 5
2 44 3
2 45 3
2 46 2
2 47 1
2 48 0
2 49 0
2 50 -1
2 51 0
2 52 -3
2 53 -1
2 54 -3
2 55 0
2 56 -1
2 57 0
2 58 -2
2 59 0
2 60 -1
2 61 -3
2 62 0
2 63 0
2 64 -2
2 65 -3
2 66 -3
2 67 2
2 68 -1
2 69 -2
3 1 -25
3 2 -19
3 3 -9
3 4 -15
3 5 -9
3 6 -4
3 7 -25
3 8 -19
3 9 -7
3 10 -10
3 11 -9
3 12 -5
3 13 -28
3 14 -19
3 15 -10
3 16 -5
3 17 -6
3 18 -1
3 19 -28
3 20 -13
3 21 -8
3 22 -9
3 23 -4
3 24 -2
3 25 -5
3 26 -1
3 27 -1
3 28 0
3 29 -2
3 30 -1
3 31 -3
3 32 -1
3 33 0
3 34 -2
3 35 -2
3 36 0
3 37 0
3 38 -2
3 39 1
3 40 0
3 41 -2
3 42 -7
3 43 -1
3 44 -1
3 45 0
3 46 -1
3 47 0
3 48 1
3 49 -2
3 50 -1
3 51 -2
3 52 -1
3 53 0
3 54 -1
3 55 0
3 56 -1
3 57 0
3 58 -3
3 59 0
3 60 -1
3 61 -1
3 62 -1
3 63 0
3 64 -2
3 65 -4
3 66 -3
3 67 -2
3 68 0
3 69 -4
4 1 -24
4 2 -13
4 3 -11
4 4 -7
4 5 -2
4 6 0
4 7 -22
4 8 -19
4 9 -6
4 10 -10
4 11 -10
4 12 -3
4 13 -25
4 14 -17
4 15 -14
4 16 -22
4 17 -8
4 18 -6
4 19 -32
4 20 -20
4 21 -18
4 22 -17
4 23 -8
4 24 -5
4 25 -4
4 26 0
4 27 -1
4 28 0
4 29 0
4 30 -1
4 31 -2
4 32 -3
4 33 0
4 34 -1
4 35 -3
4 36 -1
4 37 -6
4 38 -3
4 39 -1
4 40 -3
4 41 -2
4 42 0
4 43 -2
4 44 -3
4 45 0
4 46 0
4 47 -1
4 48 -1
4 49 0
4 50 0
4 51 2
4 52 0
4 53 4
4 54 0
4 55 -3
4 56 0
4 57 0
4 58 1
4 59 0
4 60 3
4 61 1
4 62 -2
4 63 -2
4 64 -1
4 65 -5
4 66 0
4 67 -2
4 68 -1
4 69 2
5 1 -4
5 2 -2
5 3 0
5 4 8
5 5 3
5 6 3
5 7 -3
5 8 -7
5 9 2
5 10 4
5 11 -1
5 12 8
5 13 -16
5 14 -8
5 15 -5
5 16 -13
5 17 0
5 18 6
5 19 -13
5 20 -10
5 21 -5
5 22 -4
5 23 -5
5 24 0
5 25 1
5 26 1
5 27 2
5 28 3
5 29 3
5 30 4
5 31 4
5 32 2
5 33 -1
5 34 5
5 35 1
5 36 -1
5 37 66
5 38 2
5 39 4
5 40 5
5 41 1
5 42 0
5 43 9
5 44 0
5 45 4
5 46 1
5 47 0
5 48 1
5 49 3
5 50 0
5 51 1
5 52 0
5 53 0
5 54 1
5 55 3
5 56 0
5 57 1
5 58 -1
5 59 -1
5 60 0
5 61 0
5 62 0
5 63 0
5 64 -2
5 65 0
5 66 0
5 67 3
5 68 1
5 69 -2
6 1 2
6 2 0
6 3 5
6 4 7
6 5 6
6 6 8
6 7 1
6 8 -6
6 9 7
6 10 7
6 11 4
6 12 9
6 13 -5
6 14 -24
6 15 5
6 16 2
6 17 2
6 18 8
6 19 -1
6 20 -2
6 21 6
6 22 2
6 23 3
6 24 6
6 25 9
6 26 4
6 27 6
6 28 5
6 29 4
6 30 3
6 31 11
6 32 6
6 33 5
6 34 7
6 35 2
6 36 2
6 37 6
6 38 6
6 39 4
6 40 4
6 41 4
6 42 0
6 43 7
6 44 4
6 45 5
6 46 6
6 47 3
6 48 5
6 49 1
6 50 1
6 51 0
6 52 -2
6 53 0
6 54 -2
6 55 2
6 56 0
6 57 2
6 58 -1
6 59 3
6 60 0
6 61 3
6 62 0
6 63 -2
6 64 0
6 65 0
6 66 0
6 67 4
6 68 2
6 69 2
7 1 93
7 2 -9
7 3 0
7 4 5
7 5 -1
7 6 0
7 7 1
7 8 0
7 9 2
7 10 6
7 11 5
7 12 4
7 13 2
7 14 0
7 15 6
7 16 8
7 17 4
7 18 4
7 19 3
7 20 3
7 21 3
7 22 5
7 23 5
7 24 5
7 25 4
7 26 0
7 27 2
7 28 2
7 29 0
7 30 -2
7 31 2
7 32 4
7 33 0
7 34 3
7 35 2
7 36 0
7 37 8
7 38 3
7 39 4
7 40 4
7 41 2
7 42 0
7 43 8
7 44 6
7 45 5
7 46 15
7 47 4
7 48 0
7 49 0
7 50 1
7 51 3
7 52 0
7 53 0
7 54 0
7 55 1
7 56 0
7 57 1
7 58 2
7 59 1
7 60 1
7 61 0
7 62 2
7 63 3
7 64 0
7 65 0
7 66 1
7 67 2
7 68 1
7 69 4
8 1 -1
8 2 -6
8 3 -3
8 4 2
8 5 -2
8 6 0
8 7 -2
8 8 -3
8 9 -1
8 10 2
8 11 0
8 12 -3
8 13 3
8 14 -8
8 15 4
8 16 19
8 17 3
8 18 0
8 19 6
8 20 0
8 21 6
8 22 1
8 23 12
8 24 1
8 25 0
8 26 -2
8 27 -3
8 28 -2
8 29 -2
8 30 -1
8 31 0
8 32 -1
8 33 -6
8 34 -3
8 35 -1
8 36 -2
8 37 5
8 38 -2
8 39 0
8 40 0
8 41 -1
8 42 0
8 43 -5
8 44 1
8 45 1
8 46 -17
8 47 0
8 48 0
8 49 1
8 50 0
8 51 -3
8 52 -1
8 53 -1
8 54 3
8 55 4
8 56 -5
8 57 2
8 58 0
8 59 5
8 60 0
8 61 2
8 62 1
8 63 1
8 64 0
8 65 3
8 66 -3
8 67 0
8 68 -2
8 69 -2
9 1 -13
9 2 -11
9 3 -6
9 4 -5
9 5 3
9 6 3
9 7 -13
9 8 -10
9 9 -4
9 10 -2
9 11 -4
9 12 2
9 13 -10
9 14 -8
9 15 -3
9 16 6
9 17 0
9 18 9
9 19 -7
9 20 -6
9 21 -2
9 22 0
9 23 -2
9 24 0
9 25 2
9 26 -1
9 27 1
9 28 0
9 29 -3
9 30 -3
9 31 1
9 32 0
9 33 -1
9 34 -6
9 35 0
9 36 -4
9 37 -2
9 38 -3
9 39 0
9 40 -6
9 41 0
9 42 -3
9 43 2
9 44 1
9 45 0
9 46 -6
9 47 -1
9 48 -4
9 49 -1
9 50 0
9 51 -2
9 52 -4
9 53 1
9 54 1
9 55 3
9 56 1
9 57 2
9 58 3
9 59 -13
9 60 0
9 61 -3
9 62 -2
9 63 1
9 64 0
9 65 3
9 66 0
9 67 -3
9 68 -2
9 69 0
10 1 -23
10 2 -14
10 3 -10
10 4 -6
10 5 -5
10 6 -2
10 7 -17
10 8 -17
10 9 -7
10 10 -9
10 11 -6
10 12 -2
10 13 -17
10 14 -18
10 15 -7
10 16 -5
10 17 -11
10 18 1
10 19 -17
10 20 -12
10 21 -7
10 22 -8
10 23 -3
10 24 -3
10 25 -3
10 26 -3
10 27 -6
10 28 -3
10 29 -3
10 30 1
10 31 -9
10 32 2
10 33 -2
10 34 0
10 35 -3
10 36 -3
10 37 -2
10 38 0
10 39 -5
10 40 -4
10 41 -3
10 42 -3
10 43 -5
10 44 -1
10 45 -1
10 46 -3
10 47 -2
10 48 -5
10 49 -2
10 50 -3
10 51 1
10 52 -1
10 53 -2
10 54 2
10 55 -3
10 56 0
10 57 -2
10 58 1
10 59 0
10 60 0
10 61 -7
10 62 -2
10 63 -2
10 64 1
10 65 0
10 66 -1
10 67 -2
10 68 0
10 69 -1
11 1 -7
11 2 -1
11 3 -5
11 4 -6
11 5 -2
11 6 0
11 7 -10
11 8 -10
11 9 -13
11 10 -1
11 11 -4
11 12 -1
11 13 -19
11 14 -11
11 15 -3
11 16 -1
11 17 -3
11 18 0
11 19 -15
11 20 -14
11 21 -7
11 22 -5
11 23 -4
11 24 -1
11 25 -3
11 26 0
11 27 -2
11 28 -3
11 29 0
11 30 -3
11 31 -4
11 32 -4
11 33 -4
11 34 -5
11 35 -3
11 36 -3
11 37 -4
11 38 -3
11 39 -4
11 40 -5
11 41 -4
11 42 -4
11 43 -1
11 44 -3
11 45 -2
11 46 -8
11 47 -1
11 48 -5
11 49 1
11 50 0
11 51 1
11 52 -5
11 53 -3
11 54 1
11 55 0
11 56 0
11 57 0
11 58 2
11 59 0
11 60 0
11 61 -2
11 62 0
11 63 0
11 64 -3
11 65 0
11 66 -1
11 67 0
11 68 0
11 69 1
12 1 19
12 2 64
12 3 13
12 4 14
12 5 11
12 6 6
12 7 19
12 8 7
12 9 6
12 10 10
12 11 4
12 12 5
12 13 3
12 14 6
12 15 4
12 16 2
12 17 6
12 18 1
12 19 5
12 20 -4
12 21 0
12 22 0
12 23 1
12 24 5
12 25 9
12 26 10
12 27 4
12 28 5
12 29 2
12 30 -1
12 31 6
12 32 5
12 33 5
12 34 5
12 35 0
12 36 0
12 37 2
12 38 7
12 39 1
12 40 0
12 41 0
12 42 0
12 43 1
12 44 1
12 45 4
12 46 0
12 47 1
12 48 1
12 49 1
12 50 0
12 51 -1
12 52 2
12 53 -1
12 54 0
12 55 1
12 56 0
12 57 1
12 58 2
12 59 4
12 60 0
12 61 -2
12 62 0
12 63 1
12 64 1
12 65 1
12 66 -2
12 67 -2
12 68 0
12 69 0
Adjuster movements: rms = 26.0 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050912-125435
Creating HTML output file of plots
Plotting summary text