![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/janw/rxh3/rxh3-20070830-175217.fits
Reduced on 20070925-150654 by janw on nene
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/janw/install/tdl_2p21_test2)
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 | 0 |
| 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/janw/rxh3 |
| data.filename | rxh3-20070830-175217.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 13.0 |
| data.pointing_offset_y | 14.0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.0 |
| 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 | 0.034000000000000002 |
| 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: 20070925-150654
Reading data from /net/moana/export/data/janw/janw/rxh3/rxh3-20070830-175217.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2403.4 max = 2432.5 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.000 mm
----------------- Data Summary ---------------------
Number of samples: 370025
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.344000 80.345000 80.346000 80.348000 80.350000 80.351000
80.352000 80.354000 80.356000 80.357000 80.358000 80.360000
80.362000 80.363000 80.364000 80.366000
item min max mean
loreal -3.09570 3.13965 0.03323
loimag -3.29346 3.10059 -0.04489
hireal -5.00000 4.99756 0.77133
hiimag -5.00000 4.99756 0.11119
xpos -2432.49041 2417.07563 -11.74048
ypos -2403.35510 2403.49905 -0.00441
plock160 1.33301 2.57568 2.02311
lorefpwr 0.43945 1.60400 1.22139
losigpwr -4.58984 -0.13428 -4.40969
hirefpwr 0.50293 1.65771 1.27299
hisigpwr -4.49219 4.99756 -0.58640
encltemp 32.05566 34.59473 32.64735
flags 0.00000 256.00000 2.76738
phi-lock -1.01074 0.17334 -0.42272
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.98727 1473.09862
zeropt 0.00000 0.00488 0.00277
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00665 arcsec
Mean row spacing = 40.00667 arcsec (alternate estimator)
Mean tracking incline = -0.05007 arcsec
Mean pointing range = 0.75665 arcsec
Mean pointing rms = 0.12832 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (13.0, 14.0 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22679 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2432.49 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373034
scale = 0.00129965
Diffraction scale lambda/D = 51.3099 arcsec
Gridding function extent = 307.859 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.93 arcsec
Airy first null at 62.5811 arcsec
Gridding frequency index 0
lambda = 0.00373136 metres, scale = 0.00129929 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 3.07487 at (0.0, 0.0) arcsec
Real: mean = -0.00245128 sum of squares = 870.777
Imag: mean = -0.00280405 sum of squares = 1031.1
Gridding frequency index 1
lambda = 0.00373131 metres, scale = 0.00129931 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 3.07398 at (0.0, 0.0) arcsec
Real: mean = -0.00226775 sum of squares = 909.632
Imag: mean = -0.00289689 sum of squares = 991.809
Gridding frequency index 2
lambda = 0.00373127 metres, scale = 0.00129933 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 3.08386 at (0.0, 0.0) arcsec
Real: mean = -0.0020407 sum of squares = 956.742
Imag: mean = -0.00295632 sum of squares = 944.161
Gridding frequency index 3
lambda = 0.00373118 metres, scale = 0.00129936 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 3.08441 at (0.0, 0.0) arcsec
Real: mean = -0.00152668 sum of squares = 1038.14
Imag: mean = -0.0029455 sum of squares = 861.657
Gridding frequency index 4
lambda = 0.00373108 metres, scale = 0.00129939 radians per metre
Gridding real part of frequency 4...
Gridding imag part of frequency 4...
Pattern is holo(res.pattern4)
Weights in holo(obs.real,wt4) and holo(obs.imag,wt4)
Maximum amplitude = 3.09669 at (0.0, 0.0) arcsec
Real: mean = -0.00104487 sum of squares = 1054.45
Imag: mean = -0.00256189 sum of squares = 845.914
Gridding frequency index 5
lambda = 0.00373104 metres, scale = 0.00129941 radians per metre
Gridding real part of frequency 5...
Gridding imag part of frequency 5...
Pattern is holo(res.pattern5)
Weights in holo(obs.real,wt5) and holo(obs.imag,wt5)
Maximum amplitude = 3.10527 at (0.0, 0.0) arcsec
Real: mean = -0.000940574 sum of squares = 1034.36
Imag: mean = -0.00232542 sum of squares = 866.46
Gridding frequency index 6
lambda = 0.00373099 metres, scale = 0.00129942 radians per metre
Gridding real part of frequency 6...
Gridding imag part of frequency 6...
Pattern is holo(res.pattern6)
Weights in holo(obs.real,wt6) and holo(obs.imag,wt6)
Maximum amplitude = 3.10386 at (0.0, 0.0) arcsec
Real: mean = -0.00090409 sum of squares = 1000.35
Imag: mean = -0.0020822 sum of squares = 901.713
Gridding frequency index 7
lambda = 0.0037309 metres, scale = 0.00129946 radians per metre
Gridding real part of frequency 7...
Gridding imag part of frequency 7...
Pattern is holo(res.pattern7)
Weights in holo(obs.real,wt7) and holo(obs.imag,wt7)
Maximum amplitude = 3.10584 at (0.0, -40.005973566966176) arcsec
Real: mean = -0.00101892 sum of squares = 913.889
Imag: mean = -0.00159261 sum of squares = 989.671
Gridding frequency index 8
lambda = 0.0037308 metres, scale = 0.00129949 radians per metre
Gridding real part of frequency 8...
Gridding imag part of frequency 8...
Pattern is holo(res.pattern8)
Weights in holo(obs.real,wt8) and holo(obs.imag,wt8)
Maximum amplitude = 3.10581 at (0.0, -40.004977848573851) arcsec
Real: mean = -0.00130785 sum of squares = 853.912
Imag: mean = -0.00120869 sum of squares = 1051.79
Gridding frequency index 9
lambda = 0.00373076 metres, scale = 0.0012995 radians per metre
Gridding real part of frequency 9...
Gridding imag part of frequency 9...
Pattern is holo(res.pattern9)
Weights in holo(obs.real,wt9) and holo(obs.imag,wt9)
Maximum amplitude = 3.10255 at (0.0, -40.004480007964467) arcsec
Real: mean = -0.00149278 sum of squares = 848.348
Imag: mean = -0.00107753 sum of squares = 1057.47
Gridding frequency index 10
lambda = 0.00373071 metres, scale = 0.00129952 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 3.0958 at (0.0, -40.003982179745641) arcsec
Real: mean = -0.00170782 sum of squares = 862.174
Imag: mean = -0.000948519 sum of squares = 1044.79
Gridding frequency index 11
lambda = 0.00373062 metres, scale = 0.00129955 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 3.07558 at (0.0, -40.002986560477851) arcsec
Real: mean = -0.0021558 sum of squares = 933.095
Imag: mean = -0.000877136 sum of squares = 975.297
Gridding frequency index 12
lambda = 0.00373053 metres, scale = 0.00129959 radians per metre
Gridding real part of frequency 12...
Gridding imag part of frequency 12...
Pattern is holo(res.pattern12)
Weights in holo(obs.real,wt12) and holo(obs.imag,wt12)
Maximum amplitude = 3.06112 at (0.0, 0.0) arcsec
Real: mean = -0.00273989 sum of squares = 1020.01
Imag: mean = -0.00105911 sum of squares = 892.052
Gridding frequency index 13
lambda = 0.00373048 metres, scale = 0.0012996 radians per metre
Gridding real part of frequency 13...
Gridding imag part of frequency 13...
Pattern is holo(res.pattern13)
Weights in holo(obs.real,wt13) and holo(obs.imag,wt13)
Maximum amplitude = 3.07569 at (0.0, 0.0) arcsec
Real: mean = -0.00297902 sum of squares = 1049.55
Imag: mean = -0.00125222 sum of squares = 863.619
Gridding frequency index 14
lambda = 0.00373043 metres, scale = 0.00129962 radians per metre
Gridding real part of frequency 14...
Gridding imag part of frequency 14...
Pattern is holo(res.pattern14)
Weights in holo(obs.real,wt14) and holo(obs.imag,wt14)
Maximum amplitude = 3.08073 at (0.0, 0.0) arcsec
Real: mean = -0.00312486 sum of squares = 1062.85
Imag: mean = -0.00149569 sum of squares = 853.045
Gridding frequency index 15
lambda = 0.00373034 metres, scale = 0.00129965 radians per metre
Gridding real part of frequency 15...
Gridding imag part of frequency 15...
Pattern is holo(res.pattern15)
Weights in holo(obs.real,wt15) and holo(obs.imag,wt15)
Maximum amplitude = 3.09366 at (0.0, 0.0) arcsec
Real: mean = -0.00329105 sum of squares = 1030.67
Imag: mean = -0.00199031 sum of squares = 891.666
Masking frequency index 0
Mask scale size = 3.06021
Masking frequency index 1
Mask scale size = 3.06025
Masking frequency index 2
Mask scale size = 3.06029
Masking frequency index 3
Mask scale size = 3.06037
Masking frequency index 4
Mask scale size = 3.06044
Masking frequency index 5
Mask scale size = 3.06048
Masking frequency index 6
Mask scale size = 3.06052
Masking frequency index 7
Mask scale size = 3.06059
Masking frequency index 8
Mask scale size = 3.06067
Masking frequency index 9
Mask scale size = 3.06071
Masking frequency index 10
Mask scale size = 3.06075
Masking frequency index 11
Mask scale size = 3.06082
Masking frequency index 12
Mask scale size = 3.0609
Masking frequency index 13
Mask scale size = 3.06094
Masking frequency index 14
Mask scale size = 3.06097
Masking frequency index 15
Mask scale size = 3.06105
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.251465
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.4252 102.42
Freq 1: Shift, scale = -1.647 102.85
Freq 2: Shift, scale = -1.868 103.49
Freq 3: Shift, scale = -2.3087 104.77
Freq 4: Shift, scale = -2.7477 105.87
Freq 5: Shift, scale = -2.9656 106.3
Freq 6: Shift, scale = 3.1012 106.59
Freq 7: Shift, scale = 2.6692 107.27
Freq 8: Shift, scale = 2.2396 107.3
Freq 9: Shift, scale = 2.0233 107.12
Freq 10: Shift, scale = 1.8059 106.63
Freq 11: Shift, scale = 1.3738 105.68
Freq 12: Shift, scale = 0.94026 104.57
Freq 13: Shift, scale = 0.72464 103.84
Freq 14: Shift, scale = 0.50704 103.29
Freq 15: Shift, scale = 0.068518 102.4
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: -0.323 radians
x offset: -0.635 arcsec
y offset: 0.126 arcsec
defocus: 0.0105 mm
Estimated x pointing error is 12.36 arcsec (used 13 arcsec)
Estimated y pointing error is 14.13 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.326 radians
x offset: -0.618 arcsec
y offset: 0.121 arcsec
defocus: 0.0109 mm
Estimated x pointing error is 12.38 arcsec (used 13 arcsec)
Estimated y pointing error is 14.12 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.328 radians
x offset: -0.592 arcsec
y offset: 0.114 arcsec
defocus: 0.0109 mm
Estimated x pointing error is 12.41 arcsec (used 13 arcsec)
Estimated y pointing error is 14.11 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.331 radians
x offset: -0.547 arcsec
y offset: 0.0876 arcsec
defocus: 0.011 mm
Estimated x pointing error is 12.45 arcsec (used 13 arcsec)
Estimated y pointing error is 14.09 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.333 radians
x offset: -0.539 arcsec
y offset: 0.0466 arcsec
defocus: 0.0108 mm
Estimated x pointing error is 12.46 arcsec (used 13 arcsec)
Estimated y pointing error is 14.05 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.332 radians
x offset: -0.536 arcsec
y offset: 0.0295 arcsec
defocus: 0.0105 mm
Estimated x pointing error is 12.46 arcsec (used 13 arcsec)
Estimated y pointing error is 14.03 arcsec (used 14 arcsec)
Estimated defocus error is 3.011 mm (used 3 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.329 radians
x offset: -0.538 arcsec
y offset: 0.0184 arcsec
defocus: 0.00941 mm
Estimated x pointing error is 12.46 arcsec (used 13 arcsec)
Estimated y pointing error is 14.02 arcsec (used 14 arcsec)
Estimated defocus error is 3.009 mm (used 3 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.323 radians
x offset: -0.554 arcsec
y offset: 0.00344 arcsec
defocus: 0.00741 mm
Estimated x pointing error is 12.45 arcsec (used 13 arcsec)
Estimated y pointing error is 14 arcsec (used 14 arcsec)
Estimated defocus error is 3.007 mm (used 3 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.314 radians
x offset: -0.576 arcsec
y offset: 0.00898 arcsec
defocus: 0.00573 mm
Estimated x pointing error is 12.42 arcsec (used 13 arcsec)
Estimated y pointing error is 14.01 arcsec (used 14 arcsec)
Estimated defocus error is 3.006 mm (used 3 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.311 radians
x offset: -0.585 arcsec
y offset: 0.0213 arcsec
defocus: 0.00579 mm
Estimated x pointing error is 12.42 arcsec (used 13 arcsec)
Estimated y pointing error is 14.02 arcsec (used 14 arcsec)
Estimated defocus error is 3.006 mm (used 3 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.309 radians
x offset: -0.591 arcsec
y offset: 0.0267 arcsec
defocus: 0.00623 mm
Estimated x pointing error is 12.41 arcsec (used 13 arcsec)
Estimated y pointing error is 14.03 arcsec (used 14 arcsec)
Estimated defocus error is 3.006 mm (used 3 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.303 radians
x offset: -0.582 arcsec
y offset: 0.0522 arcsec
defocus: 0.0056 mm
Estimated x pointing error is 12.42 arcsec (used 13 arcsec)
Estimated y pointing error is 14.05 arcsec (used 14 arcsec)
Estimated defocus error is 3.006 mm (used 3 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.3 radians
x offset: -0.558 arcsec
y offset: 0.072 arcsec
defocus: 0.00399 mm
Estimated x pointing error is 12.44 arcsec (used 13 arcsec)
Estimated y pointing error is 14.07 arcsec (used 14 arcsec)
Estimated defocus error is 3.004 mm (used 3 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.298 radians
x offset: -0.554 arcsec
y offset: 0.0843 arcsec
defocus: 0.00291 mm
Estimated x pointing error is 12.45 arcsec (used 13 arcsec)
Estimated y pointing error is 14.08 arcsec (used 14 arcsec)
Estimated defocus error is 3.003 mm (used 3 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.297 radians
x offset: -0.549 arcsec
y offset: 0.0953 arcsec
defocus: 0.00241 mm
Estimated x pointing error is 12.45 arcsec (used 13 arcsec)
Estimated y pointing error is 14.1 arcsec (used 14 arcsec)
Estimated defocus error is 3.002 mm (used 3 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.297 radians
x offset: -0.566 arcsec
y offset: 0.109 arcsec
defocus: 0.0035 mm
Estimated x pointing error is 12.43 arcsec (used 13 arcsec)
Estimated y pointing error is 14.11 arcsec (used 14 arcsec)
Estimated defocus error is 3.004 mm (used 3 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 -0.00108 piston
1 1 -0.01854 tilt_x
1 -1 -0.00067 tilt_y
2 2 0.11350 astigmatism_0
2 0 0.00240 curvature
2 -2 0.01155 astigmatism45
3 3 0.03854 trefoil_0
3 1 -0.04566 coma_x
3 -1 -0.01596 coma_y
3 -3 -0.01661 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 -0.00114 piston
1 1 -0.01851 tilt_x
1 -1 -0.00076 tilt_y
2 2 0.11423 astigmatism_0
2 0 0.00228 curvature
2 -2 0.01284 astigmatism45
3 3 0.03775 trefoil_0
3 1 -0.04557 coma_x
3 -1 -0.01609 coma_y
3 -3 -0.01758 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 -0.00112 piston
1 1 -0.01847 tilt_x
1 -1 -0.00104 tilt_y
2 2 0.11460 astigmatism_0
2 0 0.00232 curvature
2 -2 0.01272 astigmatism45
3 3 0.03653 trefoil_0
3 1 -0.04553 coma_x
3 -1 -0.01665 coma_y
3 -3 -0.01848 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 -0.00103 piston
1 1 -0.01834 tilt_x
1 -1 -0.00145 tilt_y
2 2 0.11503 astigmatism_0
2 0 0.00246 curvature
2 -2 0.01165 astigmatism45
3 3 0.03431 trefoil_0
3 1 -0.04520 coma_x
3 -1 -0.01721 coma_y
3 -3 -0.01985 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 -0.00087 piston
1 1 -0.01874 tilt_x
1 -1 -0.00175 tilt_y
2 2 0.11424 astigmatism_0
2 0 0.00279 curvature
2 -2 0.01124 astigmatism45
3 3 0.03426 trefoil_0
3 1 -0.04608 coma_x
3 -1 -0.01753 coma_y
3 -3 -0.01989 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 -0.00080 piston
1 1 -0.01877 tilt_x
1 -1 -0.00186 tilt_y
2 2 0.11344 astigmatism_0
2 0 0.00296 curvature
2 -2 0.01047 astigmatism45
3 3 0.03449 trefoil_0
3 1 -0.04596 coma_x
3 -1 -0.01774 coma_y
3 -3 -0.01952 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 -0.00075 piston
1 1 -0.01889 tilt_x
1 -1 -0.00213 tilt_y
2 2 0.11269 astigmatism_0
2 0 0.00305 curvature
2 -2 0.01009 astigmatism45
3 3 0.03562 trefoil_0
3 1 -0.04618 coma_x
3 -1 -0.01856 coma_y
3 -3 -0.01830 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 -0.00069 piston
1 1 -0.01918 tilt_x
1 -1 -0.00216 tilt_y
2 2 0.11179 astigmatism_0
2 0 0.00324 curvature
2 -2 0.00918 astigmatism45
3 3 0.03725 trefoil_0
3 1 -0.04689 coma_x
3 -1 -0.01903 coma_y
3 -3 -0.01727 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 -0.00067 piston
1 1 -0.01988 tilt_x
1 -1 -0.00180 tilt_y
2 2 0.11138 astigmatism_0
2 0 0.00342 curvature
2 -2 0.00936 astigmatism45
3 3 0.03852 trefoil_0
3 1 -0.04890 coma_x
3 -1 -0.01867 coma_y
3 -3 -0.01592 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 -0.00066 piston
1 1 -0.02022 tilt_x
1 -1 -0.00141 tilt_y
2 2 0.11165 astigmatism_0
2 0 0.00350 curvature
2 -2 0.00903 astigmatism45
3 3 0.03827 trefoil_0
3 1 -0.05006 coma_x
3 -1 -0.01795 coma_y
3 -3 -0.01650 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 -0.00067 piston
1 1 -0.02035 tilt_x
1 -1 -0.00101 tilt_y
2 2 0.11209 astigmatism_0
2 0 0.00359 curvature
2 -2 0.00891 astigmatism45
3 3 0.03841 trefoil_0
3 1 -0.05040 coma_x
3 -1 -0.01709 coma_y
3 -3 -0.01672 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 -0.00067 piston
1 1 -0.01981 tilt_x
1 -1 -0.00030 tilt_y
2 2 0.11173 astigmatism_0
2 0 0.00366 curvature
2 -2 0.00724 astigmatism45
3 3 0.03704 trefoil_0
3 1 -0.04913 coma_x
3 -1 -0.01535 coma_y
3 -3 -0.01791 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 -0.00067 piston
1 1 -0.01872 tilt_x
1 -1 0.00050 tilt_y
2 2 0.11257 astigmatism_0
2 0 0.00369 curvature
2 -2 0.00504 astigmatism45
3 3 0.03452 trefoil_0
3 1 -0.04621 coma_x
3 -1 -0.01301 coma_y
3 -3 -0.01960 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 -0.00066 piston
1 1 -0.01850 tilt_x
1 -1 0.00079 tilt_y
2 2 0.11311 astigmatism_0
2 0 0.00366 curvature
2 -2 0.00401 astigmatism45
3 3 0.03325 trefoil_0
3 1 -0.04577 coma_x
3 -1 -0.01225 coma_y
3 -3 -0.02098 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 -0.00069 piston
1 1 -0.01810 tilt_x
1 -1 0.00104 tilt_y
2 2 0.11394 astigmatism_0
2 0 0.00358 curvature
2 -2 0.00329 astigmatism45
3 3 0.03238 trefoil_0
3 1 -0.04462 coma_x
3 -1 -0.01157 coma_y
3 -3 -0.02161 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 -0.00070 piston
1 1 -0.01809 tilt_x
1 -1 0.00107 tilt_y
2 2 0.11592 astigmatism_0
2 0 0.00344 curvature
2 -2 0.00307 astigmatism45
3 3 0.03225 trefoil_0
3 1 -0.04439 coma_x
3 -1 -0.01126 coma_y
3 -3 -0.02295 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: 30.1 24.1 24.8 28.3 29.2 36.9 42.9 34.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 22.2 23.9 27.3 25.9 31.2 42 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.84 5.53 7.53 9.24 12.2 17 24.1 15.5
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 24.1 25.6 28.4 29 36.9 43.2 34.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.7 22.3 24.6 27.3 25.5 31.2 42.3 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.84 5.53 7.55 9.28 12.2 17.1 24.2 15.6
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 24.3 26.1 28.7 28.7 36.8 43.4 34.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.7 22.4 25 27.6 25.1 30.9 42.2 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.84 5.54 7.57 9.3 12.2 17.1 24.3 15.6
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 24.7 25.7 28.8 28.4 36 43.4 34.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 22.8 24.5 27.7 24.5 30.3 41.9 31.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.84 5.53 7.56 9.3 12.3 17.1 24.2 15.6
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 24.9 25.4 30.4 28.5 34.3 43.1 34
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 23 24.1 29 24.5 29 41.1 31.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.89 5.62 7.64 9.33 12.2 17 24.1 15.6
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.5 25 25.3 30.5 28.8 33.6 42.7 33.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 23.1 23.8 29.1 24.7 28.5 40.6 31.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.89 5.61 7.62 9.29 12.1 16.9 24 15.5
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28 25 25 30.5 29.1 32.8 42.2 33.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 23.1 23.6 29.1 25.1 27.9 40 30.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.91 5.66 7.66 9.29 12.1 16.8 23.9 15.4
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 24.8 24.6 30.6 29.5 31.7 41.2 33.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.7 23 23.1 29.4 25.6 27 39 30.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.96 5.73 7.73 9.32 12 16.7 23.8 15.4
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 24.6 24.3 31 29.4 31.7 40.5 33.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 22.7 22.8 30 25.8 26.9 38.5 30.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.06 5.9 7.91 9.44 12 16.7 23.8 15.4
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 24.3 24.1 31.2 29.3 32 40.5 33.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 22.3 22.6 30.4 25.7 27.1 38.5 30.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.11 5.99 8.01 9.52 12.1 16.7 23.9 15.5
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.1 23.9 23.8 31.6 29.1 32.5 40.6 33.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 21.9 22.4 30.9 25.6 27.5 38.6 30.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.11 5.99 8.02 9.55 12.1 16.8 24 15.5
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 23.2 22.6 38.3 28.9 33.7 41 34.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.7 21.2 21.1 38 25.3 28.4 39.4 32.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.01 5.82 7.82 9.38 12 16.7 23.8 15.4
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 22.7 22.8 28.7 28.8 34.4 41.7 33.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 20.8 21.4 27.4 25 28.9 40.2 31
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.81 5.48 7.46 9.14 12 16.7 23.7 15.3
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.5 22.8 23.2 28.2 28.9 34.9 41.8 33.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 21 21.9 26.9 25 29.4 40.5 31.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.78 5.42 7.4 9.11 12 16.8 23.8 15.3
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 22.9 23.6 28.3 28.9 35.3 42.2 33.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.5 21.1 22.4 26.9 25 29.7 41 31.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.71 5.3 7.29 9.05 12 16.9 23.9 15.4
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.9 23.6 25 28.6 29 35.8 42.9 34.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 21.8 24 27.3 24.9 30.3 41.4 31.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.69 5.29 7.3 9.12 12.2 17.2 24.2 15.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 24.9 21.9 21.2 22.7 26.6 32.6 40.1 31.1
Mean deviation is 0.70912012853905182 microns
Taper = 10 dB, Ruze illumination-weighted rms = 30.0 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 27.9 micron
Centre pixel: 64.0 64.0 Value = 2564.88 (estimate), 3426.02 (perfect)
Strehl = 0.56047
Strehl ratio estimate = 0.5605
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 = 27.6 micron
Centre pixel: 64.0 64.0 Value = 1993.97 (estimate), 3426.02 (perfect)
Strehl = 0.338733
Strehl ratio estimate = 0.3387
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35475 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 11.2 16.2 6.7 20.8
2 1 2 28.8 6.6 26.5 39.7
3 1 3 63.2 -0.6 22.4 67.0
4 1 4 71.8 40.5 22.7 85.5
5 1 5 43.4 7.7 58.7 73.4
6 1 6 50.0 38.3 30.9 70.1
7 1 7 20.1 35.5 29.4 50.3
8 1 8 -0.8 53.4 32.1 62.3
9 1 9 -14.4 7.3 12.9 20.7
10 1 10 29.3 14.9 16.5 36.8
11 1 11 52.4 22.8 27.3 63.3
12 1 12 46.3 13.8 14.2 50.3
13 2 1 0.5 -37.3 -23.0 43.8
14 2 2 -0.4 -11.6 -15.8 19.6
15 2 3 23.5 -27.1 -38.3 52.5
16 2 4 25.7 -24.1 -8.1 36.2
17 2 5 31.2 6.6 10.9 33.7
18 2 6 21.6 22.5 39.0 50.0
19 2 7 6.2 -14.6 26.8 31.2
20 2 8 54.6 27.6 1.4 61.2
21 2 9 39.9 5.3 37.4 54.9
22 2 10 56.8 19.4 12.9 61.4
23 2 11 29.7 -7.9 -6.6 31.4
24 2 12 12.3 -4.8 -16.6 21.2
25 2 13 18.0 8.9 -10.3 22.6
26 2 14 0.1 -15.7 -4.1 16.2
27 2 15 23.8 -15.2 -39.1 48.3
28 2 16 41.4 -18.4 -11.0 46.6
29 2 17 23.9 6.5 -3.1 24.9
30 2 18 20.3 14.0 3.8 25.0
31 2 19 10.6 9.1 -19.5 24.0
32 2 20 22.4 -9.7 -11.0 26.8
33 2 21 14.6 17.5 -15.2 27.4
34 2 22 33.6 -39.2 -57.7 77.5
35 2 23 29.4 -31.4 -24.5 49.5
36 2 24 -4.8 -26.0 -26.9 37.7
37 3 1 -5.3 -25.0 -20.4 32.7
38 3 2 -20.0 -14.6 -36.4 44.0
39 3 3 -7.3 -15.2 -26.5 31.4
40 3 4 12.1 -5.5 -3.6 13.7
41 3 5 1.8 8.2 -4.2 9.4
42 3 6 -14.8 7.5 6.5 17.9
43 3 7 -11.6 2.8 -3.1 12.3
44 3 8 -2.3 1.4 14.8 15.1
45 3 9 24.5 -0.3 -4.8 25.0
46 3 10 15.6 4.6 3.0 16.5
47 3 11 27.6 10.6 -6.3 30.2
48 3 12 -26.4 49.2 5.5 56.1
49 3 13 3.1 3.5 20.7 21.2
50 3 14 45.8 8.7 -2.4 46.7
51 3 15 1.9 7.2 5.6 9.3
52 3 16 37.0 13.1 6.1 39.7
53 3 17 34.8 15.4 -17.1 41.7
54 3 18 22.6 9.6 -0.9 24.6
55 3 19 20.6 11.6 -11.0 26.1
56 3 20 -14.2 10.4 6.9 18.9
57 3 21 -3.9 -7.1 -10.1 13.0
58 3 22 3.4 -5.4 -5.1 8.2
59 3 23 4.1 -0.8 -20.0 20.4
60 3 24 2.3 -7.1 -11.5 13.7
61 3 25 -8.4 -11.6 -23.9 27.9
62 3 26 -11.3 -17.1 -26.9 33.8
63 3 27 -18.0 -22.6 -27.8 40.1
64 3 28 7.0 -6.4 -20.2 22.3
65 3 29 -12.2 -2.3 13.5 18.3
66 3 30 -10.3 -13.9 -5.1 18.1
67 3 31 -23.7 0.3 -15.0 28.1
68 3 32 -4.7 4.4 -16.2 17.4
69 3 33 35.4 2.9 21.7 41.6
70 3 34 21.2 17.7 34.6 44.3
71 3 35 45.9 17.8 10.2 50.3
72 3 36 39.7 2.0 28.6 49.0
73 3 37 -2.2 -3.5 -47.3 47.5
74 3 38 -1.3 8.6 -11.4 14.3
75 3 39 9.5 -10.1 -16.3 21.4
76 3 40 6.3 12.0 -29.1 32.1
77 3 41 16.2 19.9 -17.9 31.2
78 3 42 4.6 4.7 -2.4 7.0
79 3 43 -8.8 3.4 -26.7 28.3
80 3 44 14.6 -10.4 -12.7 21.9
81 3 45 3.3 -20.5 -53.4 57.3
82 3 46 -19.6 -32.3 -44.4 58.3
83 3 47 -48.5 -37.6 -45.6 76.5
84 3 48 -36.2 -35.2 -64.9 82.2
85 4 1 -11.1 -42.6 12.7 45.8
86 4 2 -32.8 -28.0 -22.9 48.8
87 4 3 -13.6 -30.3 -39.1 51.3
88 4 4 -11.4 -10.0 -65.3 67.0
89 4 5 -0.0 -6.1 -22.1 22.9
90 4 6 12.3 -8.9 -26.1 30.2
91 4 7 25.6 -12.0 -9.0 29.6
92 4 8 -4.0 6.6 -27.3 28.4
93 4 9 20.5 -1.9 3.2 20.8
94 4 10 -26.9 0.3 -11.7 29.4
95 4 11 14.1 14.5 21.9 29.8
96 4 12 -25.8 12.6 7.9 29.8
97 4 13 -16.4 -10.5 52.0 55.5
98 4 14 38.7 10.7 23.0 46.3
99 4 15 -8.5 -11.3 -4.5 14.8
100 4 16 -10.2 1.3 -7.3 12.6
101 4 17 -10.7 -7.3 -18.5 22.6
102 4 18 23.9 -19.0 18.6 35.7
103 4 19 -0.3 -22.7 -15.2 27.3
104 4 20 0.1 -1.2 -26.1 26.1
105 4 21 -11.2 -11.2 -15.7 22.3
106 4 22 -37.0 -21.8 72.7 84.5
107 4 23 -17.3 -48.3 -29.6 59.2
108 4 24 14.0 -18.9 -13.7 27.2
109 4 25 -20.3 -19.0 5.2 28.3
110 4 26 -22.9 -34.6 -12.9 43.5
111 4 27 -28.3 -19.2 -6.2 34.8
112 4 28 -29.9 -25.1 -14.1 41.5
113 4 29 -47.2 -13.5 -74.0 88.9
114 4 30 -11.6 -22.4 -25.6 35.9
115 4 31 0.4 -12.9 -5.2 13.9
116 4 32 -21.4 -0.7 8.0 22.9
117 4 33 -31.7 -1.5 -20.5 37.8
118 4 34 10.8 12.3 -17.3 23.8
119 4 35 6.9 38.2 10.3 40.1
120 4 36 4.8 9.3 -0.2 10.5
121 4 37 11.4 14.3 -31.0 36.0
122 4 38 1.0 3.3 -26.4 26.6
123 4 39 -11.7 -6.4 0.8 13.4
124 4 40 25.2 2.7 -37.1 45.0
125 4 41 -18.0 14.4 -45.7 51.2
126 4 42 -8.4 -14.1 -56.9 59.2
127 4 43 -38.3 -23.7 -38.7 59.4
128 4 44 -46.0 -0.3 -21.0 50.6
129 4 45 -8.0 -8.4 -20.5 23.5
130 4 46 -15.2 -32.3 -34.4 49.6
131 4 47 -52.7 -36.0 -60.9 88.3
132 4 48 -52.9 -48.8 -26.8 76.8
133 5 1 3.8 -23.5 -51.4 56.7
134 5 2 14.0 3.8 -80.3 81.6
135 5 3 0.3 1.1 -44.8 44.8
136 5 4 3.2 -10.3 -28.1 30.1
137 5 5 11.6 -1.9 -23.6 26.4
138 5 6 -2.6 3.8 -22.1 22.6
139 5 7 -0.8 27.6 16.0 31.9
140 5 8 -4.6 22.2 -17.2 28.5
141 5 9 -0.5 1.8 25.0 25.0
142 5 10 7.9 41.5 20.2 46.8
143 5 11 30.1 48.5 21.0 60.8
144 5 12 7.9 82.9 11.4 84.0
145 5 13 10.9 51.8 22.1 57.4
146 5 14 43.3 50.2 5.6 66.5
147 5 15 17.9 30.6 20.1 40.8
148 5 16 3.6 17.8 6.0 19.1
149 5 17 -18.8 16.9 23.8 34.7
150 5 18 -4.4 -10.6 112.6 113.2
151 5 19 -35.7 -15.8 -39.0 55.2
152 5 20 -39.0 -32.3 -38.9 63.8
153 5 21 -13.9 -21.7 -50.7 56.8
154 5 22 -31.2 20.8 -49.5 62.1
155 5 23 -35.3 -6.2 -1.7 35.9
156 5 24 -7.8 -15.5 16.1 23.7
157 5 25 -8.7 -15.7 -24.4 30.3
158 5 26 -39.8 -15.3 -30.4 52.4
159 5 27 -25.5 6.2 -32.4 41.7
160 5 28 -26.0 -30.8 -31.1 50.9
161 5 29 2.9 -27.9 -57.5 64.0
162 5 30 -4.2 -21.7 10.2 24.4
163 5 31 -42.6 -22.1 -22.9 53.1
164 5 32 -24.7 15.9 -11.4 31.6
165 5 33 -2.7 38.6 27.9 47.7
166 5 34 -15.8 18.8 11.8 27.2
167 5 35 54.7 65.0 29.6 90.0
168 5 36 16.5 26.8 43.6 53.8
169 5 37 -8.9 46.5 -8.7 48.1
170 5 38 -28.3 28.0 -19.0 44.1
171 5 39 2.5 95.2 -48.3 106.8
172 5 40 -42.7 10.1 -24.4 50.2
173 5 41 0.2 23.0 12.9 26.4
174 5 42 -29.0 2.7 -22.0 36.5
175 5 43 4.0 -0.5 -49.2 49.4
176 5 44 -19.2 3.2 -15.6 25.0
177 5 45 -2.5 3.8 -8.6 9.8
178 5 46 -22.9 9.6 12.0 27.6
179 5 47 -6.2 19.5 -20.0 28.6
180 5 48 -8.0 -5.8 -32.9 34.4
181 6 1 -57.9 -29.0 -33.9 73.1
182 6 2 -51.1 -50.2 -60.0 93.4
183 6 3 2.4 -52.2 -41.9 67.0
184 6 4 -47.3 -27.8 -59.3 80.8
185 6 5 -15.9 -23.1 -57.0 63.5
186 6 6 -10.7 -10.9 -48.2 50.6
187 6 7 -4.3 -16.6 -22.4 28.2
188 6 8 -1.5 24.4 -3.4 24.6
189 6 9 24.0 8.5 47.9 54.3
190 6 10 46.9 29.0 42.2 69.4
191 6 11 46.9 33.9 38.1 69.3
192 6 12 29.9 46.9 12.6 57.0
193 6 13 35.0 43.4 -3.0 55.8
194 6 14 40.1 14.8 -4.5 43.0
195 6 15 48.8 9.5 3.9 49.9
196 6 16 31.1 13.1 51.1 61.2
197 6 17 -6.6 -8.0 -12.4 16.1
198 6 18 11.8 -9.7 -134.6 135.5
199 6 19 15.8 -25.5 -41.7 51.4
200 6 20 -45.6 -14.0 13.9 49.7
201 6 21 -91.9 -43.5 -61.4 118.8
202 6 22 44.3 36.0 -9.2 57.8
203 6 23 18.7 -26.8 -12.4 34.9
204 6 24 -7.5 -14.6 -25.2 30.1
205 6 25 -40.7 -16.9 -53.1 69.1
206 6 26 -7.6 -39.0 -49.8 63.7
207 6 27 -3.6 -36.4 -36.3 51.5
208 6 28 2.9 28.8 187.7 189.9
209 6 29 -76.5 28.0 2.3 81.5
210 6 30 -41.1 -1.7 87.0 96.3
211 6 31 -16.4 -8.6 24.0 30.3
212 6 32 -28.8 2.2 31.9 43.0
213 6 33 45.1 24.9 172.6 180.1
214 6 34 134.8 24.4 94.1 166.2
215 6 35 53.0 18.9 81.3 98.9
216 6 36 46.8 63.7 69.8 105.5
217 6 37 -2.6 40.8 13.5 43.0
218 6 38 7.2 2.6 -21.8 23.1
219 6 39 33.4 24.0 -3.5 41.3
220 6 40 -29.8 40.8 -51.2 72.0
221 6 41 10.0 40.4 4.9 41.9
222 6 42 24.2 15.3 -14.3 32.0
223 6 43 29.9 12.0 23.6 39.9
224 6 44 13.7 10.4 10.3 20.1
225 6 45 30.0 7.2 26.3 40.5
226 6 46 21.8 7.4 61.8 66.0
227 6 47 -40.5 -8.0 14.2 43.7
228 6 48 -49.7 -23.2 6.2 55.2
229 7 1 -72.4 19.5 -28.4 80.2
230 7 2 -55.5 -28.0 -56.1 83.7
231 7 3 -59.8 -27.4 -40.3 77.2
232 7 4 -33.6 -9.7 11.6 36.9
233 7 5 -56.2 -20.7 -39.2 71.6
234 7 6 -45.8 1.1 -61.2 76.5
235 7 7 -1.5 -7.3 -16.7 18.3
236 7 8 7.1 33.3 -0.5 34.0
237 7 9 57.8 -6.8 49.9 76.6
238 7 10 38.3 36.1 0.1 52.7
239 7 11 51.6 36.3 16.2 65.2
240 7 12 19.1 52.7 56.0 79.3
241 7 13 -16.3 51.6 27.0 60.5
242 7 14 16.5 43.5 28.2 54.3
243 7 15 1.5 4.5 -9.4 10.5
244 7 16 61.6 61.2 -36.4 94.2
245 7 17 19.0 -26.7 4.7 33.1
246 7 18 -25.7 40.2 -33.0 58.0
247 7 19 3.6 -4.9 -7.1 9.3
248 7 20 2.0 -54.0 -17.9 56.9
249 7 21 -3.8 44.8 -30.2 54.2
250 7 22 -62.9 -72.8 -25.7 99.6
251 7 23 23.9 -26.9 14.9 38.9
252 7 24 -33.2 28.8 52.4 68.4
253 7 25 36.3 32.7 49.2 69.4
254 7 26 -31.6 0.6 13.0 34.2
255 7 27 -52.6 -16.5 11.6 56.4
256 7 28 -57.4 -44.8 308.5 317.0
257 7 29 2.8 -45.9 33.7 57.0
258 7 30 -1.4 6.9 -15.5 17.0
259 7 31 -8.2 13.0 22.8 27.5
260 7 32 -15.6 15.0 15.9 26.9
261 7 33 77.4 -127.0 112.3 186.4
262 7 34 40.1 66.2 39.0 86.6
263 7 35 60.5 46.0 63.0 98.7
264 7 36 12.1 73.4 58.8 94.9
265 7 37 1.3 76.9 11.7 77.8
266 7 38 -15.5 36.8 -48.8 63.0
267 7 39 9.2 61.5 -63.3 88.8
268 7 40 49.1 208.0 -4.1 213.8
269 7 41 48.1 34.1 33.5 67.8
270 7 42 12.8 33.9 35.7 50.8
271 7 43 -9.0 61.2 17.4 64.2
272 7 44 68.7 37.0 -4.5 78.2
273 7 45 -7.9 -38.9 101.7 109.2
274 7 46 19.8 18.5 27.2 38.4
275 7 47 -22.1 40.3 -25.8 52.7
276 7 48 -34.6 137.3 38.0 146.6
Creating sector-motor-move file
sector motor steps
1 1 3
1 2 -2
1 3 -10
1 4 -18
1 5 -8
1 6 -14
1 7 -12
1 8 -8
1 9 -18
1 10 -12
1 11 -16
1 12 0
1 13 -17
1 14 -8
1 15 -17
1 16 -18
1 17 -15
1 18 -15
1 19 -8
1 20 5
1 21 -22
1 22 -10
1 23 -8
1 24 -17
1 25 -8
1 26 -3
1 27 0
1 28 -20
1 29 -3
1 30 -3
1 31 -13
1 32 0
1 33 0
1 34 -12
1 35 -9
1 36 -4
1 37 -24
1 38 1
1 39 4
1 40 -7
1 41 -8
1 42 -10
1 43 -15
1 44 -7
1 45 1
1 46 3
1 47 -13
1 48 -3
1 49 -8
1 50 -4
1 51 -2
1 52 -4
1 53 -3
1 54 0
1 55 -11
1 56 -4
1 57 -6
1 58 4
1 59 3
1 60 2
1 61 -6
1 62 -7
1 63 -1
1 64 -8
1 65 0
1 66 -7
1 67 -1
1 68 -1
1 69 3
2 1 0
2 2 10
2 3 2
2 4 -1
2 5 7
2 6 0
2 7 -5
2 8 -2
2 9 0
2 10 -6
2 11 -5
2 12 -1
2 13 -18
2 14 0
2 15 -14
2 16 -14
2 17 -3
2 18 -3
2 19 -12
2 20 -6
2 21 -17
2 22 -17
2 23 -7
2 24 -4
2 25 -5
2 26 6
2 27 -1
2 28 -8
2 29 2
2 30 -1
2 31 4
2 32 8
2 33 0
2 34 -2
2 35 -3
2 36 7
2 37 -6
2 38 1
2 39 0
2 40 -7
2 41 -2
2 42 3
2 43 -7
2 44 0
2 45 3
2 46 -6
2 47 -1
2 48 0
2 49 0
2 50 0
2 51 -3
2 52 -2
2 53 -7
2 54 7
2 55 1
2 56 2
2 57 -4
2 58 2
2 59 8
2 60 8
2 61 -1
2 62 2
2 63 0
2 64 2
2 65 7
2 66 -11
2 67 4
2 68 0
2 69 0
3 1 17
3 2 16
3 3 5
3 4 3
3 5 14
3 6 9
3 7 4
3 8 11
3 9 15
3 10 11
3 11 10
3 12 14
3 13 0
3 14 11
3 15 11
3 16 12
3 17 8
3 18 14
3 19 15
3 20 -2
3 21 17
3 22 14
3 23 2
3 24 7
3 25 3
3 26 25
3 27 2
3 28 2
3 29 3
3 30 -7
3 31 6
3 32 14
3 33 9
3 34 6
3 35 4
3 36 4
3 37 6
3 38 12
3 39 2
3 40 -3
3 41 0
3 42 -8
3 43 7
3 44 0
3 45 0
3 46 0
3 47 0
3 48 6
3 49 -1
3 50 3
3 51 8
3 52 11
3 53 6
3 54 6
3 55 0
3 56 1
3 57 4
3 58 0
3 59 19
3 60 6
3 61 -1
3 62 0
3 63 7
3 64 -4
3 65 9
3 66 3
3 67 1
3 68 15
3 69 -8
4 1 -11
4 2 18
4 3 18
4 4 15
4 5 4
4 6 9
4 7 -2
4 8 1
4 9 0
4 10 1
4 11 2
4 12 14
4 13 8
4 14 13
4 15 5
4 16 -1
4 17 4
4 18 12
4 19 8
4 20 15
4 21 -5
4 22 0
4 23 13
4 24 10
4 25 1
4 26 5
4 27 1
4 28 -2
4 29 0
4 30 -3
4 31 6
4 32 9
4 33 5
4 34 -1
4 35 -3
4 36 -2
4 37 1
4 38 15
4 39 13
4 40 7
4 41 3
4 42 11
4 43 6
4 44 15
4 45 3
4 46 15
4 47 -3
4 48 -5
4 49 1
4 50 2
4 51 0
4 52 0
4 53 8
4 54 16
4 55 0
4 56 2
4 57 14
4 58 12
4 59 22
4 60 6
4 61 6
4 62 1
4 63 0
4 64 1
4 65 1
4 66 8
4 67 1
4 68 4
4 69 11
5 1 -5
5 2 -16
5 3 0
5 4 4
5 5 -4
5 6 -13
5 7 -2
5 8 -1
5 9 1
5 10 -12
5 11 -7
5 12 4
5 13 -10
5 14 12
5 15 -7
5 16 -41
5 17 -2
5 18 3
5 19 1
5 20 -8
5 21 5
5 22 -3
5 23 -2
5 24 -2
5 25 -11
5 26 -9
5 27 -11
5 28 -7
5 29 0
5 30 0
5 31 -11
5 32 -4
5 33 -10
5 34 -4
5 35 -6
5 36 0
5 37 34
5 38 -3
5 39 -1
5 40 5
5 41 -5
5 42 7
5 43 7
5 44 5
5 45 -5
5 46 -5
5 47 -2
5 48 -3
5 49 -3
5 50 3
5 51 6
5 52 3
5 53 5
5 54 17
5 55 0
5 56 2
5 57 6
5 58 2
5 59 13
5 60 17
5 61 -5
5 62 4
5 63 10
5 64 -2
5 65 12
5 66 11
5 67 2
5 68 3
5 69 -4
6 1 16
6 2 8
6 3 -10
6 4 -7
6 5 -4
6 6 -2
6 7 4
6 8 -8
6 9 7
6 10 -3
6 11 -8
6 12 5
6 13 -7
6 14 -22
6 15 -19
6 16 -2
6 17 11
6 18 13
6 19 -9
6 20 13
6 21 -1
6 22 -18
6 23 -13
6 24 -28
6 25 4
6 26 -4
6 27 -2
6 28 -4
6 29 -5
6 30 4
6 31 0
6 32 -1
6 33 -10
6 34 -9
6 35 -14
6 36 -5
6 37 -15
6 38 6
6 39 -9
6 40 22
6 41 -6
6 42 -11
6 43 -15
6 44 -6
6 45 -4
6 46 -4
6 47 -3
6 48 -3
6 49 -6
6 50 0
6 51 1
6 52 -5
6 53 -1
6 54 3
6 55 -1
6 56 -1
6 57 1
6 58 11
6 59 15
6 60 9
6 61 -3
6 62 -2
6 63 -1
6 64 2
6 65 9
6 66 -2
6 67 -3
6 68 -2
6 69 0
7 1 94
7 2 -13
7 3 -17
7 4 57
7 5 8
7 6 0
7 7 3
7 8 -5
7 9 -16
7 10 -11
7 11 -11
7 12 -1
7 13 3
7 14 0
7 15 -9
7 16 -15
7 17 -11
7 18 -2
7 19 15
7 20 10
7 21 11
7 22 -16
7 23 -5
7 24 -12
7 25 -9
7 26 -9
7 27 -7
7 28 -4
7 29 -7
7 30 -9
7 31 -9
7 32 1
7 33 -7
7 34 -1
7 35 -5
7 36 -8
7 37 -9
7 38 -4
7 39 -12
7 40 -3
7 41 -10
7 42 -7
7 43 -7
7 44 -4
7 45 -2
7 46 1
7 47 -5
7 48 -6
7 49 -8
7 50 -6
7 51 -5
7 52 -1
7 53 -4
7 54 0
7 55 -8
7 56 -5
7 57 -3
7 58 10
7 59 6
7 60 9
7 61 -7
7 62 -3
7 63 -2
7 64 -4
7 65 5
7 66 -3
7 67 -6
7 68 -1
7 69 2
8 1 4
8 2 4
8 3 -4
8 4 9
8 5 0
8 6 -8
8 7 6
8 8 3
8 9 -2
8 10 7
8 11 -2
8 12 -5
8 13 -4
8 14 2
8 15 0
8 16 26
8 17 0
8 18 -12
8 19 10
8 20 -14
8 21 0
8 22 0
8 23 8
8 24 -23
8 25 -3
8 26 4
8 27 -7
8 28 2
8 29 0
8 30 -6
8 31 -7
8 32 -6
8 33 -13
8 34 -1
8 35 -3
8 36 0
8 37 3
8 38 -6
8 39 -1
8 40 -7
8 41 -6
8 42 -3
8 43 -17
8 44 -8
8 45 0
8 46 -22
8 47 -4
8 48 -14
8 49 -4
8 50 0
8 51 -7
8 52 -3
8 53 -5
8 54 12
8 55 -1
8 56 -4
8 57 -3
8 58 16
8 59 0
8 60 9
8 61 4
8 62 0
8 63 -3
8 64 1
8 65 7
8 66 -11
8 67 -4
8 68 1
8 69 -1
9 1 18
9 2 22
9 3 3
9 4 21
9 5 19
9 6 14
9 7 19
9 8 14
9 9 18
9 10 24
9 11 5
9 12 16
9 13 11
9 14 20
9 15 12
9 16 28
9 17 7
9 18 41
9 19 34
9 20 -38
9 21 23
9 22 52
9 23 7
9 24 13
9 25 13
9 26 8
9 27 5
9 28 0
9 29 2
9 30 1
9 31 9
9 32 19
9 33 16
9 34 3
9 35 11
9 36 2
9 37 3
9 38 5
9 39 -4
9 40 -5
9 41 3
9 42 3
9 43 8
9 44 11
9 45 0
9 46 -6
9 47 0
9 48 -9
9 49 3
9 50 5
9 51 14
9 52 1
9 53 4
9 54 6
9 55 10
9 56 5
9 57 6
9 58 2
9 59 -4
9 60 3
9 61 6
9 62 0
9 63 10
9 64 2
9 65 7
9 66 0
9 67 8
9 68 0
9 69 12
10 1 -1
10 2 63
10 3 15
10 4 -15
10 5 12
10 6 -9
10 7 -19
10 8 18
10 9 2
10 10 -1
10 11 7
10 12 10
10 13 -14
10 14 11
10 15 -4
10 16 -6
10 17 0
10 18 2
10 19 3
10 20 23
10 21 0
10 22 4
10 23 12
10 24 0
10 25 -7
10 26 3
10 27 -13
10 28 -11
10 29 0
10 30 7
10 31 -14
10 32 29
10 33 0
10 34 0
10 35 -1
10 36 -3
10 37 -5
10 38 8
10 39 -8
10 40 -8
10 41 1
10 42 0
10 43 -2
10 44 14
10 45 -2
10 46 -9
10 47 4
10 48 3
10 49 -4
10 50 -3
10 51 2
10 52 -3
10 53 -2
10 54 6
10 55 -3
10 56 2
10 57 0
10 58 4
10 59 8
10 60 5
10 61 -14
10 62 -1
10 63 0
10 64 5
10 65 3
10 66 -5
10 67 -8
10 68 3
10 69 1
11 1 -1
11 2 11
11 3 21
11 4 3
11 5 3
11 6 4
11 7 5
11 8 18
11 9 -2
11 10 7
11 11 3
11 12 9
11 13 10
11 14 10
11 15 3
11 16 -4
11 17 4
11 18 7
11 19 10
11 20 10
11 21 14
11 22 1
11 23 12
11 24 3
11 25 -4
11 26 0
11 27 -5
11 28 -6
11 29 0
11 30 -14
11 31 -15
11 32 0
11 33 1
11 34 -11
11 35 -7
11 36 -11
11 37 -6
11 38 0
11 39 -8
11 40 -17
11 41 -4
11 42 -2
11 43 3
11 44 7
11 45 0
11 46 -14
11 47 4
11 48 -5
11 49 -8
11 50 1
11 51 -2
11 52 -17
11 53 -12
11 54 10
11 55 0
11 56 1
11 57 1
11 58 6
11 59 16
11 60 8
11 61 -5
11 62 6
11 63 4
11 64 -9
11 65 4
11 66 -4
11 67 -3
11 68 -3
11 69 4
12 1 11
12 2 42
12 3 -10
12 4 1
12 5 -7
12 6 -15
12 7 -7
12 8 12
12 9 -6
12 10 4
12 11 -2
12 12 -12
12 13 8
12 14 5
12 15 6
12 16 18
12 17 2
12 18 6
12 19 31
12 20 -11
12 21 -2
12 22 8
12 23 2
12 24 9
12 25 -10
12 26 -1
12 27 -2
12 28 -8
12 29 -14
12 30 -16
12 31 -6
12 32 5
12 33 -1
12 34 -18
12 35 -11
12 36 -16
12 37 3
12 38 2
12 39 -7
12 40 -10
12 41 -9
12 42 -4
12 43 -2
12 44 1
12 45 0
12 46 -6
12 47 -2
12 48 -2
12 49 -13
12 50 -11
12 51 -14
12 52 -8
12 53 -7
12 54 -1
12 55 -13
12 56 -9
12 57 -6
12 58 4
12 59 14
12 60 4
12 61 -16
12 62 -6
12 63 1
12 64 -11
12 65 9
12 66 -7
12 67 -19
12 68 -10
12 69 -11
Adjuster movements: rms = 35.1 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20070925-150942
Creating HTML output file of plots
Plotting summary text