![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20070924-015944.fits
Reduced on 20070925-132953 by janw on nene
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 | 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 | rxh3-20070924-015944.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 8.7 |
| data.pointing_offset_y | 12.0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.26 |
| 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 | 0.034259999999999999 |
| 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: 20070925-132953
Reading data from rxh3-20070924-015944.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.6 max = 2418.5 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.260 mm
----------------- Data Summary ---------------------
Number of samples: 1466025
This is a 160 GHz map
Number of frequencies: 16
Frequencies (GHz):
160.688000 160.690000 160.692000 160.696000 160.700000 160.702000
160.704000 160.708000 160.712000 160.714000 160.716000 160.720000
160.724000 160.726000 160.728000 160.732000
item min max mean
loreal -2.95654 2.91016 0.00590
loimag -3.02002 2.86377 0.00171
hireal -5.00000 4.99756 -0.00497
hiimag -5.00000 4.99756 0.00644
xpos -2418.50218 2410.77923 -9.93080
ypos -2402.62067 2403.20066 -0.00008
plock160 1.44531 2.60742 2.11057
lorefpwr 1.19629 2.93213 2.37423
losigpwr -4.59961 -0.58350 -4.49397
hirefpwr 1.23535 2.91260 2.38772
hisigpwr -4.51172 4.99756 -1.61701
encltemp 32.05566 34.69238 32.64524
flags 0.00000 256.00000 2.44471
phi-lock -1.02295 0.08789 -0.48963
sindex 0.00000 254.00000 126.60925
time 0.00000 5865.00451 2932.08012
zeropt 0.00000 0.00488 0.00366
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 255 rows
There are 241 data rows and 14 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 147 168 189 210 231 252 254
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 20.00316 arcsec
Mean row spacing = 20.00316 arcsec (alternate estimator)
Mean tracking incline = -0.00188 arcsec
Mean pointing range = 0.61876 arcsec
Mean pointing rms = 0.10638 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (8.7, 12.0 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Inverting the phase on this 160 GHz map
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 14000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90363 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90363 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 = 2418.5 arcsec
Grid extent = 2550 arcsec
lambda_min = 0.00186517
scale = 0.0025993
Diffraction scale lambda/D = 25.6549 arcsec
Gridding function extent = 153.93 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 76.9648 arcsec
Airy first null at 31.2906 arcsec
Gridding frequency index 0
lambda = 0.00186568 metres, scale = 0.00259859 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 = 2.6887 at (0.0, 0.0) arcsec
Real: mean = 0.000155989 sum of squares = 1758.44
Imag: mean = -0.000861915 sum of squares = 1718.35
Gridding frequency index 1
lambda = 0.00186566 metres, scale = 0.00259862 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 = 2.68646 at (0.0, 0.0) arcsec
Real: mean = 0.000187833 sum of squares = 1807.24
Imag: mean = -0.000781954 sum of squares = 1690.84
Gridding frequency index 2
lambda = 0.00186563 metres, scale = 0.00259865 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 = 2.71086 at (0.0, 0.0) arcsec
Real: mean = 0.00019378 sum of squares = 1813.84
Imag: mean = -0.00073857 sum of squares = 1702.58
Gridding frequency index 3
lambda = 0.00186559 metres, scale = 0.00259872 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 = 2.73707 at (0.0, 0.0) arcsec
Real: mean = 0.000150488 sum of squares = 1734.43
Imag: mean = -0.000701942 sum of squares = 1820.31
Gridding frequency index 4
lambda = 0.00186554 metres, scale = 0.00259878 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 = 2.74671 at (0.0, 0.0) arcsec
Real: mean = 0.000257761 sum of squares = 1753.22
Imag: mean = -0.000736137 sum of squares = 1840.53
Gridding frequency index 5
lambda = 0.00186552 metres, scale = 0.00259882 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 = 2.72787 at (0.0, 0.0) arcsec
Real: mean = 0.00033591 sum of squares = 1817.25
Imag: mean = -0.000586757 sum of squares = 1798.17
Gridding frequency index 6
lambda = 0.00186549 metres, scale = 0.00259885 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 = 2.76541 at (0.0, 0.0) arcsec
Real: mean = 0.000220225 sum of squares = 1875.55
Imag: mean = -0.000421482 sum of squares = 1764.49
Gridding frequency index 7
lambda = 0.00186545 metres, scale = 0.00259891 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 = 2.78514 at (0.0, 0.0) arcsec
Real: mean = -0.000185516 sum of squares = 1867.1
Imag: mean = -0.00058265 sum of squares = 1817.21
Gridding frequency index 8
lambda = 0.0018654 metres, scale = 0.00259898 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 = 2.77542 at (0.0, 0.0) arcsec
Real: mean = 7.27264e-05 sum of squares = 1803.44
Imag: mean = -0.000861381 sum of squares = 1930.28
Gridding frequency index 9
lambda = 0.00186538 metres, scale = 0.00259901 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 = 2.78648 at (0.0, 0.0) arcsec
Real: mean = 0.000155438 sum of squares = 1823.79
Imag: mean = -0.000731009 sum of squares = 1935.81
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 = 2.76665 at (0.0, 0.0) arcsec
Real: mean = 4.72374e-05 sum of squares = 1882.13
Imag: mean = -0.0006504 sum of squares = 1900.65
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 = 2.78525 at (0.0, 0.0) arcsec
Real: mean = -1.92395e-05 sum of squares = 1981.68
Imag: mean = -0.000932287 sum of squares = 1848.11
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 = 2.81064 at (0.0, 0.0) arcsec
Real: mean = 0.000389566 sum of squares = 1924.14
Imag: mean = -0.000904235 sum of squares = 1953.27
Gridding frequency index 13
lambda = 0.00186524 metres, scale = 0.0025992 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 = 2.83304 at (0.0, 0.0) arcsec
Real: mean = 0.000431197 sum of squares = 1888.19
Imag: mean = -0.000667168 sum of squares = 2015.81
Gridding frequency index 14
lambda = 0.00186522 metres, scale = 0.00259924 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 = 2.84759 at (0.0, 0.0) arcsec
Real: mean = 0.000286743 sum of squares = 1896.32
Imag: mean = -0.000511455 sum of squares = 2031.56
Gridding frequency index 15
lambda = 0.00186517 metres, scale = 0.0025993 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 = 2.87125 at (0.0, 0.0) arcsec
Real: mean = 6.85004e-05 sum of squares = 2025.26
Imag: mean = -0.000636274 sum of squares = 1953.38
Masking frequency index 0
Mask scale size = 6.11856
Masking frequency index 1
Mask scale size = 6.11863
Masking frequency index 2
Mask scale size = 6.11871
Masking frequency index 3
Mask scale size = 6.11886
Masking frequency index 4
Mask scale size = 6.11901
Masking frequency index 5
Mask scale size = 6.11909
Masking frequency index 6
Mask scale size = 6.11916
Masking frequency index 7
Mask scale size = 6.11932
Masking frequency index 8
Mask scale size = 6.11947
Masking frequency index 9
Mask scale size = 6.11955
Masking frequency index 10
Mask scale size = 6.11962
Masking frequency index 11
Mask scale size = 6.11977
Masking frequency index 12
Mask scale size = 6.11993
Masking frequency index 13
Mask scale size = 6.12
Masking frequency index 14
Mask scale size = 6.12008
Masking frequency index 15
Mask scale size = 6.12023
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.241699
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.00732422
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.97878 116.41
Freq 1: Shift, scale = 0.54691 116.54
Freq 2: Shift, scale = 0.11578 117.02
Freq 3: Shift, scale = -0.74664 118.24
Freq 4: Shift, scale = -1.6144 118.58
Freq 5: Shift, scale = -2.0448 118.39
Freq 6: Shift, scale = -2.4761 118.81
Freq 7: Shift, scale = 2.9394 119.92
Freq 8: Shift, scale = 2.072 119.88
Freq 9: Shift, scale = 1.6408 119.74
Freq 10: Shift, scale = 1.2131 119.78
Freq 11: Shift, scale = 0.35215 121.02
Freq 12: Shift, scale = -0.51107 122.16
Freq 13: Shift, scale = -0.94253 122.66
Freq 14: Shift, scale = -1.375 123.09
Freq 15: Shift, scale = -2.2439 123.89
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: -0.208 radians
x offset: 0.0667 arcsec
y offset: 0.0128 arcsec
defocus: 3.8e-05 mm
Estimated x pointing error is 8.767 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12.01 arcsec (used 12 arcsec)
Estimated defocus error is 3.26 mm (used 3.26 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.208 radians
x offset: 0.057 arcsec
y offset: 0.00873 arcsec
defocus: 0.00079 mm
Estimated x pointing error is 8.757 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12.01 arcsec (used 12 arcsec)
Estimated defocus error is 3.261 mm (used 3.26 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.207 radians
x offset: 0.0495 arcsec
y offset: 0.00532 arcsec
defocus: 0.000974 mm
Estimated x pointing error is 8.75 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12.01 arcsec (used 12 arcsec)
Estimated defocus error is 3.261 mm (used 3.26 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.208 radians
x offset: 0.0532 arcsec
y offset: -0.000668 arcsec
defocus: -0.000976 mm
Estimated x pointing error is 8.753 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12 arcsec (used 12 arcsec)
Estimated defocus error is 3.259 mm (used 3.26 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.212 radians
x offset: 0.0631 arcsec
y offset: -0.0101 arcsec
defocus: -0.00168 mm
Estimated x pointing error is 8.763 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.99 arcsec (used 12 arcsec)
Estimated defocus error is 3.258 mm (used 3.26 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.211 radians
x offset: 0.0568 arcsec
y offset: -0.00722 arcsec
defocus: -0.00155 mm
Estimated x pointing error is 8.757 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.99 arcsec (used 12 arcsec)
Estimated defocus error is 3.258 mm (used 3.26 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.209 radians
x offset: 0.0401 arcsec
y offset: -0.00283 arcsec
defocus: 0.000138 mm
Estimated x pointing error is 8.74 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12 arcsec (used 12 arcsec)
Estimated defocus error is 3.26 mm (used 3.26 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.212 radians
x offset: 0.0205 arcsec
y offset: 0.00325 arcsec
defocus: 0.00139 mm
Estimated x pointing error is 8.721 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12 arcsec (used 12 arcsec)
Estimated defocus error is 3.261 mm (used 3.26 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.217 radians
x offset: 0.0141 arcsec
y offset: -0.000258 arcsec
defocus: 1.87e-05 mm
Estimated x pointing error is 8.714 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12 arcsec (used 12 arcsec)
Estimated defocus error is 3.26 mm (used 3.26 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.217 radians
x offset: 0.0154 arcsec
y offset: -0.00831 arcsec
defocus: -0.000929 mm
Estimated x pointing error is 8.715 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.99 arcsec (used 12 arcsec)
Estimated defocus error is 3.259 mm (used 3.26 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.213 radians
x offset: 0.018 arcsec
y offset: -0.0124 arcsec
defocus: -0.0019 mm
Estimated x pointing error is 8.718 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.99 arcsec (used 12 arcsec)
Estimated defocus error is 3.258 mm (used 3.26 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.211 radians
x offset: 0.0254 arcsec
y offset: -0.0287 arcsec
defocus: -0.00375 mm
Estimated x pointing error is 8.725 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.97 arcsec (used 12 arcsec)
Estimated defocus error is 3.256 mm (used 3.26 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.211 radians
x offset: 0.0154 arcsec
y offset: -0.0281 arcsec
defocus: -0.00377 mm
Estimated x pointing error is 8.715 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.97 arcsec (used 12 arcsec)
Estimated defocus error is 3.256 mm (used 3.26 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.21 radians
x offset: 0.00559 arcsec
y offset: -0.0184 arcsec
defocus: -0.00345 mm
Estimated x pointing error is 8.706 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.98 arcsec (used 12 arcsec)
Estimated defocus error is 3.257 mm (used 3.26 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.21 radians
x offset: -0.00154 arcsec
y offset: -0.0101 arcsec
defocus: -0.00305 mm
Estimated x pointing error is 8.698 arcsec (used 8.7 arcsec)
Estimated y pointing error is 11.99 arcsec (used 12 arcsec)
Estimated defocus error is 3.257 mm (used 3.26 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.215 radians
x offset: -0.00747 arcsec
y offset: -0.00464 arcsec
defocus: -0.00414 mm
Estimated x pointing error is 8.693 arcsec (used 8.7 arcsec)
Estimated y pointing error is 12 arcsec (used 12 arcsec)
Estimated defocus error is 3.256 mm (used 3.26 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 0.00887 piston
1 1 -0.05899 tilt_x
1 -1 -0.02520 tilt_y
2 2 0.06493 astigmatism_0
2 0 0.02423 curvature
2 -2 0.08765 astigmatism45
3 3 0.04800 trefoil_0
3 1 -0.12687 coma_x
3 -1 -0.05654 coma_y
3 -3 -0.01930 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 0.00876 piston
1 1 -0.05876 tilt_x
1 -1 -0.02488 tilt_y
2 2 0.06453 astigmatism_0
2 0 0.02419 curvature
2 -2 0.08651 astigmatism45
3 3 0.04796 trefoil_0
3 1 -0.12726 coma_x
3 -1 -0.05622 coma_y
3 -3 -0.01950 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 0.00872 piston
1 1 -0.05890 tilt_x
1 -1 -0.02518 tilt_y
2 2 0.06390 astigmatism_0
2 0 0.02441 curvature
2 -2 0.08660 astigmatism45
3 3 0.04841 trefoil_0
3 1 -0.12826 coma_x
3 -1 -0.05742 coma_y
3 -3 -0.01948 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 0.00876 piston
1 1 -0.05894 tilt_x
1 -1 -0.02618 tilt_y
2 2 0.06307 astigmatism_0
2 0 0.02458 curvature
2 -2 0.08856 astigmatism45
3 3 0.04869 trefoil_0
3 1 -0.12815 coma_x
3 -1 -0.06015 coma_y
3 -3 -0.01885 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 0.00884 piston
1 1 -0.05904 tilt_x
1 -1 -0.02628 tilt_y
2 2 0.06333 astigmatism_0
2 0 0.02471 curvature
2 -2 0.08926 astigmatism45
3 3 0.04958 trefoil_0
3 1 -0.12784 coma_x
3 -1 -0.05961 coma_y
3 -3 -0.01932 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 0.00898 piston
1 1 -0.05945 tilt_x
1 -1 -0.02642 tilt_y
2 2 0.06423 astigmatism_0
2 0 0.02495 curvature
2 -2 0.09026 astigmatism45
3 3 0.04964 trefoil_0
3 1 -0.12783 coma_x
3 -1 -0.05907 coma_y
3 -3 -0.01964 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 0.00910 piston
1 1 -0.06000 tilt_x
1 -1 -0.02639 tilt_y
2 2 0.06537 astigmatism_0
2 0 0.02512 curvature
2 -2 0.09029 astigmatism45
3 3 0.04927 trefoil_0
3 1 -0.12857 coma_x
3 -1 -0.05850 coma_y
3 -3 -0.02122 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 0.00907 piston
1 1 -0.05999 tilt_x
1 -1 -0.02499 tilt_y
2 2 0.06771 astigmatism_0
2 0 0.02482 curvature
2 -2 0.08855 astigmatism45
3 3 0.04626 trefoil_0
3 1 -0.12817 coma_x
3 -1 -0.05581 coma_y
3 -3 -0.02244 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 0.00879 piston
1 1 -0.05929 tilt_x
1 -1 -0.02407 tilt_y
2 2 0.06822 astigmatism_0
2 0 0.02424 curvature
2 -2 0.08771 astigmatism45
3 3 0.04496 trefoil_0
3 1 -0.12676 coma_x
3 -1 -0.05497 coma_y
3 -3 -0.02190 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 0.00871 piston
1 1 -0.05938 tilt_x
1 -1 -0.02397 tilt_y
2 2 0.06860 astigmatism_0
2 0 0.02420 curvature
2 -2 0.08799 astigmatism45
3 3 0.04613 trefoil_0
3 1 -0.12737 coma_x
3 -1 -0.05529 coma_y
3 -3 -0.02243 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 0.00876 piston
1 1 -0.05965 tilt_x
1 -1 -0.02462 tilt_y
2 2 0.06813 astigmatism_0
2 0 0.02444 curvature
2 -2 0.08989 astigmatism45
3 3 0.04683 trefoil_0
3 1 -0.12806 coma_x
3 -1 -0.05677 coma_y
3 -3 -0.02266 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 0.00897 piston
1 1 -0.06008 tilt_x
1 -1 -0.02532 tilt_y
2 2 0.06826 astigmatism_0
2 0 0.02477 curvature
2 -2 0.09167 astigmatism45
3 3 0.04753 trefoil_0
3 1 -0.12797 coma_x
3 -1 -0.05780 coma_y
3 -3 -0.02240 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 0.00913 piston
1 1 -0.06038 tilt_x
1 -1 -0.02503 tilt_y
2 2 0.06920 astigmatism_0
2 0 0.02491 curvature
2 -2 0.09082 astigmatism45
3 3 0.04774 trefoil_0
3 1 -0.12755 coma_x
3 -1 -0.05585 coma_y
3 -3 -0.02333 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 0.00922 piston
1 1 -0.06069 tilt_x
1 -1 -0.02481 tilt_y
2 2 0.06983 astigmatism_0
2 0 0.02502 curvature
2 -2 0.09005 astigmatism45
3 3 0.04702 trefoil_0
3 1 -0.12792 coma_x
3 -1 -0.05497 coma_y
3 -3 -0.02333 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 0.00918 piston
1 1 -0.06064 tilt_x
1 -1 -0.02445 tilt_y
2 2 0.06979 astigmatism_0
2 0 0.02494 curvature
2 -2 0.08829 astigmatism45
3 3 0.04655 trefoil_0
3 1 -0.12839 coma_x
3 -1 -0.05454 coma_y
3 -3 -0.02356 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 0.00905 piston
1 1 -0.06034 tilt_x
1 -1 -0.02422 tilt_y
2 2 0.06993 astigmatism_0
2 0 0.02487 curvature
2 -2 0.08742 astigmatism45
3 3 0.04519 trefoil_0
3 1 -0.12787 coma_x
3 -1 -0.05540 coma_y
3 -3 -0.02253 trefoil_30
Averaged 16 maps to make holo(res.mean_surface)
Computing differences from mean surface (phase)
Unweighted rms analysis, frequency 0
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.8 19 24.5 22.7 27.2 35.2 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 20.1 18.3 24.3 22.7 26.2 31.3 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.26 7.4 9.2 9.33 8.15 8.56 14.7 10.5
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.9 19.2 24.3 22.5 27.3 35.2 26.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 20.3 18.5 24.1 22.5 26.2 31.2 25.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.27 7.41 9.21 9.33 8.12 8.48 14.6 10.4
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.9 19.5 23.9 22.3 27.3 35.3 26.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 20.3 18.7 23.7 22.4 26.3 31.3 25.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.31 7.48 9.29 9.41 8.15 8.48 14.7 10.5
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 21.7 20 24.2 22 27.3 35.7 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 20.1 19.3 23.9 22.1 26.4 31.6 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.34 7.54 9.36 9.48 8.22 8.55 14.8 10.6
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 21.6 20.7 24.2 22.1 27.3 36.1 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.9 19.9 20 24 22.2 26.4 31.9 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.32 7.51 9.33 9.46 8.24 8.62 14.8 10.6
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.5 20.1 24 22.2 27.5 36 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 19.8 19.4 23.9 22.3 26.5 31.8 25.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.32 7.5 9.32 9.47 8.28 8.71 14.9 10.6
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.5 18.9 24.2 22.9 27.5 35.7 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 19.8 18.1 24.1 22.9 26.5 31.6 25.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.33 7.52 9.35 9.5 8.32 8.76 15 10.7
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.9 19 24.8 22.7 27.3 35.3 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 20.2 18.2 24.7 22.7 26.3 31.3 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.29 7.45 9.26 9.41 8.26 8.71 14.9 10.6
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.9 19.2 24.5 22.3 27.2 35.3 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 20.2 18.5 24.4 22.4 26.1 31.4 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.24 7.36 9.16 9.32 8.19 8.65 14.7 10.5
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.9 19.5 24.2 22.2 27.2 35.5 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 20.2 18.8 24.1 22.3 26.1 31.7 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.26 7.4 9.2 9.36 8.23 8.71 14.8 10.5
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.8 20.1 23.8 22.1 27.3 35.8 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 20.1 19.4 23.6 22.2 26.2 31.9 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.29 7.46 9.29 9.45 8.32 8.8 15 10.6
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 21.5 20.5 24.1 22.1 27.4 36.2 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 19.8 19.7 23.9 22.2 26.3 32.1 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.31 7.48 9.31 9.49 8.38 8.91 15.1 10.7
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 21.7 18.9 24 22.6 27.6 36 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 19.9 18.2 23.8 22.6 26.5 31.7 25.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.27 7.42 9.24 9.42 8.35 8.91 15.1 10.7
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 21.8 18.9 24.1 23.2 27.6 35.6 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 20.1 18.3 23.9 23.1 26.5 31.4 25.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.27 7.42 9.24 9.42 8.34 8.88 15 10.7
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.9 19 23.9 22.8 27.5 35.4 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 20.3 18.4 23.8 22.8 26.3 31.2 25.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.28 7.43 9.25 9.41 8.29 8.79 14.9 10.6
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 22 19.1 23.8 22.5 27.2 35.3 26.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 20.4 18.5 23.8 22.5 26.1 31.3 25.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.27 7.42 9.23 9.39 8.25 8.72 14.9 10.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 22.3 20.2 17.3 22 20.7 26.2 34.6 25.7
Mean deviation is 0.49516344892481357 microns
Taper = 10 dB, Ruze illumination-weighted rms = 24.8 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 22.3 micron
Centre pixel: 128.0 128.0 Value = 13033.3 (estimate), 15686.5 (perfect)
Strehl = 0.69033
Strehl ratio estimate = 0.6903
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 = 21.7 micron
Centre pixel: 128.0 128.0 Value = 11212.6 (estimate), 15686.5 (perfect)
Strehl = 0.510929
Strehl ratio estimate = 0.5109
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.07514 metres
panel scale = 3.00000 metres
mean frequency = 160.70950 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 -8.9 -6.5 -10.4 15.1
2 1 2 11.9 -2.5 9.3 15.4
3 1 3 6.5 -4.3 -2.1 8.1
4 1 4 15.9 -1.7 16.0 22.6
5 1 5 4.6 6.6 17.3 19.1
6 1 6 16.4 4.9 -2.1 17.3
7 1 7 -11.8 11.1 -9.6 18.9
8 1 8 -17.8 -11.4 -11.5 24.1
9 1 9 -62.5 2.7 -13.2 64.0
10 1 10 -12.6 1.0 -6.8 14.3
11 1 11 -7.6 3.4 -8.6 11.9
12 1 12 12.1 -5.6 -0.1 13.3
13 2 1 -4.8 -18.7 -7.5 20.7
14 2 2 -5.7 -9.2 -10.9 15.4
15 2 3 1.6 -9.7 -12.7 16.1
16 2 4 -2.9 -6.0 -2.0 7.0
17 2 5 12.2 5.6 0.5 13.4
18 2 6 3.9 12.1 17.8 21.9
19 2 7 -1.3 3.6 20.7 21.1
20 2 8 26.6 24.9 8.7 37.5
21 2 9 15.2 7.7 13.6 21.8
22 2 10 10.3 6.1 10.4 15.9
23 2 11 -1.3 -3.0 -4.2 5.3
24 2 12 -9.7 -0.5 -4.7 10.7
25 2 13 -3.4 10.3 3.8 11.5
26 2 14 -11.4 -2.9 2.3 12.0
27 2 15 2.6 -6.5 -21.2 22.3
28 2 16 -3.5 -3.6 -11.6 12.6
29 2 17 1.9 -9.2 -11.2 14.6
30 2 18 1.3 -4.0 -24.2 24.6
31 2 19 -12.0 -5.0 -17.1 21.5
32 2 20 -10.5 -3.9 -12.4 16.7
33 2 21 -0.8 -6.5 -23.5 24.4
34 2 22 -9.8 -37.2 -33.9 51.3
35 2 23 2.4 -23.4 -20.6 31.3
36 2 24 -12.1 -19.9 -7.1 24.4
37 3 1 -6.9 6.6 -4.9 10.7
38 3 2 -7.3 -5.2 -11.1 14.3
39 3 3 -4.1 -6.3 -21.3 22.6
40 3 4 3.8 -1.2 -8.6 9.5
41 3 5 -2.9 -0.3 -17.3 17.5
42 3 6 1.7 1.0 -2.8 3.4
43 3 7 9.0 1.2 -2.9 9.5
44 3 8 2.5 10.1 12.2 16.0
45 3 9 9.3 8.4 2.4 12.7
46 3 10 10.8 6.5 9.5 15.8
47 3 11 7.6 7.0 -1.2 10.4
48 3 12 -1.2 20.3 7.8 21.8
49 3 13 -2.8 15.4 7.6 17.4
50 3 14 18.1 7.9 -7.6 21.2
51 3 15 3.9 11.6 9.0 15.2
52 3 16 15.6 9.6 -1.4 18.4
53 3 17 13.8 13.6 1.3 19.4
54 3 18 10.7 11.6 9.0 18.2
55 3 19 13.6 15.6 2.8 20.8
56 3 20 -0.7 11.7 5.3 12.9
57 3 21 -13.6 5.0 -5.6 15.5
58 3 22 0.3 2.8 3.6 4.6
59 3 23 -5.6 2.8 3.7 7.2
60 3 24 11.1 9.9 22.3 26.8
61 3 25 -5.1 10.8 5.0 12.9
62 3 26 -6.1 -4.4 -5.4 9.3
63 3 27 -3.9 -6.6 -11.3 13.6
64 3 28 5.5 1.6 -14.1 15.2
65 3 29 -3.3 3.0 5.1 6.8
66 3 30 -1.4 -12.7 1.5 12.8
67 3 31 -17.6 8.0 -6.8 20.5
68 3 32 -13.1 -2.6 -1.9 13.5
69 3 33 2.7 -5.5 0.4 6.2
70 3 34 -0.7 0.9 7.2 7.2
71 3 35 -3.1 -2.4 -10.5 11.2
72 3 36 -4.7 6.5 -10.1 12.9
73 3 37 -11.7 6.3 -32.3 35.0
74 3 38 -9.5 -2.8 -4.7 11.0
75 3 39 -4.0 -11.6 -11.4 16.8
76 3 40 -16.6 1.0 -24.8 29.9
77 3 41 -13.1 -2.3 -22.7 26.3
78 3 42 -2.3 -3.5 -5.5 6.9
79 3 43 -9.2 -6.0 -14.4 18.1
80 3 44 -5.9 -8.6 -8.9 13.7
81 3 45 -9.8 -8.3 -24.1 27.3
82 3 46 -8.1 -15.8 -13.8 22.5
83 3 47 -24.6 -16.7 -20.1 35.9
84 3 48 -17.6 -16.8 -32.7 40.8
85 4 1 -0.0 -6.8 10.7 12.7
86 4 2 -3.0 -3.2 -11.4 12.2
87 4 3 -0.9 -6.9 -12.0 13.8
88 4 4 -10.6 0.9 -33.5 35.2
89 4 5 3.1 -2.4 -7.1 8.1
90 4 6 -1.6 4.2 -14.0 14.7
91 4 7 2.9 -6.0 5.8 8.9
92 4 8 0.1 10.0 -11.6 15.3
93 4 9 21.8 7.4 9.3 24.9
94 4 10 4.4 9.0 3.5 10.6
95 4 11 9.6 7.4 3.2 12.5
96 4 12 14.9 23.0 11.0 29.5
97 4 13 8.5 9.8 17.8 22.0
98 4 14 16.0 9.7 -1.0 18.8
99 4 15 -0.1 2.3 5.0 5.5
100 4 16 3.9 12.4 5.8 14.3
101 4 17 2.0 -0.1 -0.9 2.2
102 4 18 9.9 4.1 31.3 33.0
103 4 19 13.6 0.2 5.6 14.8
104 4 20 16.0 8.9 -2.2 18.5
105 4 21 -6.1 4.6 3.3 8.3
106 4 22 -4.8 -2.8 99.8 99.9
107 4 23 -0.8 2.8 19.2 19.4
108 4 24 6.6 5.3 0.8 8.5
109 4 25 -9.6 13.5 18.9 25.1
110 4 26 -1.9 -7.6 -12.2 14.5
111 4 27 -6.1 2.4 5.9 8.8
112 4 28 -11.1 -0.7 -0.1 11.2
113 4 29 -11.5 4.3 -57.9 59.2
114 4 30 -5.0 -6.3 13.2 15.4
115 4 31 -12.5 3.1 -7.9 15.1
116 4 32 4.6 1.1 0.6 4.8
117 4 33 -32.1 12.5 -20.8 40.2
118 4 34 -5.0 0.8 -4.9 7.0
119 4 35 -4.0 13.0 6.4 15.1
120 4 36 -9.5 1.1 6.6 11.6
121 4 37 -6.0 14.5 -6.7 17.1
122 4 38 -4.6 5.1 -18.2 19.5
123 4 39 -13.3 0.3 -12.1 18.0
124 4 40 2.9 -0.4 -37.6 37.7
125 4 41 -25.3 11.3 -27.5 39.1
126 4 42 -17.2 1.8 -33.5 37.7
127 4 43 -24.9 -2.2 -31.1 39.9
128 4 44 -16.5 4.1 -26.3 31.3
129 4 45 3.2 2.0 -3.3 5.0
130 4 46 -2.4 -9.1 -11.4 14.7
131 4 47 -13.1 -15.1 6.6 21.0
132 4 48 -21.4 -14.2 -12.4 28.5
133 5 1 24.2 -6.7 -17.7 30.7
134 5 2 -4.4 -12.5 -24.7 28.1
135 5 3 2.1 -8.7 -9.9 13.3
136 5 4 -15.8 -11.2 -27.9 34.0
137 5 5 5.0 -12.5 -15.0 20.1
138 5 6 -1.8 -1.1 -17.0 17.1
139 5 7 14.2 25.1 6.7 29.6
140 5 8 6.2 13.8 -8.0 17.1
141 5 9 8.2 5.2 13.4 16.6
142 5 10 15.1 15.4 5.8 22.3
143 5 11 12.1 20.3 10.3 25.8
144 5 12 16.2 32.9 5.2 37.0
145 5 13 15.1 21.4 7.4 27.2
146 5 14 12.5 10.7 -1.7 16.5
147 5 15 9.6 7.8 -3.7 12.9
148 5 16 1.2 9.0 -2.3 9.3
149 5 17 -3.0 13.3 22.9 26.7
150 5 18 12.1 5.4 131.0 131.7
151 5 19 3.3 1.4 -4.5 5.8
152 5 20 -15.5 -7.4 -6.5 18.4
153 5 21 9.7 0.2 -12.8 16.1
154 5 22 -7.2 1.4 1.2 7.5
155 5 23 -13.3 2.8 14.9 20.2
156 5 24 5.6 3.0 18.5 19.6
157 5 25 12.3 2.0 -7.4 14.5
158 5 26 -15.4 -8.3 -0.8 17.5
159 5 27 -19.1 -7.8 0.8 20.7
160 5 28 -14.6 -4.6 1.2 15.4
161 5 29 2.6 3.2 -26.5 26.8
162 5 30 3.6 -3.4 30.3 30.7
163 5 31 -15.1 -3.6 -17.3 23.2
164 5 32 -15.2 -3.7 7.0 17.1
165 5 33 7.8 23.1 16.6 29.5
166 5 34 -0.8 8.4 17.8 19.7
167 5 35 8.9 28.4 6.7 30.5
168 5 36 7.9 18.4 23.4 30.8
169 5 37 9.8 27.3 -9.9 30.7
170 5 38 -22.7 17.3 -19.0 34.3
171 5 39 -0.8 36.2 13.0 38.5
172 5 40 -41.5 21.2 -14.4 48.8
173 5 41 22.1 23.9 17.8 37.1
174 5 42 -24.2 18.0 -18.1 35.2
175 5 43 7.4 15.7 -3.2 17.6
176 5 44 9.3 15.1 3.6 18.1
177 5 45 22.3 24.1 4.2 33.1
178 5 46 4.8 25.0 7.9 26.6
179 5 47 0.6 9.1 40.5 41.5
180 5 48 -0.8 19.5 6.4 20.5
181 6 1 -17.3 2.8 -12.6 21.6
182 6 2 -21.8 -19.3 -24.1 37.8
183 6 3 -16.0 -26.1 -41.0 51.2
184 6 4 -15.2 -25.3 -49.4 57.6
185 6 5 -11.0 -25.3 -45.7 53.4
186 6 6 -7.6 -10.4 -36.7 38.9
187 6 7 -5.2 -17.0 -20.4 27.1
188 6 8 4.2 -0.8 0.7 4.4
189 6 9 15.3 -9.8 4.2 18.7
190 6 10 11.3 7.7 12.9 18.8
191 6 11 26.7 7.2 22.8 35.9
192 6 12 15.6 7.7 0.8 17.4
193 6 13 15.7 11.9 -14.8 24.6
194 6 14 13.3 -0.8 -16.5 21.2
195 6 15 10.0 -3.8 -12.0 16.1
196 6 16 10.9 10.4 -9.4 17.8
197 6 17 -5.5 -7.1 -18.1 20.2
198 6 18 -1.3 0.6 -89.9 90.0
199 6 19 36.3 -9.8 -25.9 45.7
200 6 20 -22.7 4.3 20.1 30.6
201 6 21 -25.7 -10.3 24.6 37.0
202 6 22 -10.1 68.8 1.3 69.6
203 6 23 16.4 -10.2 9.7 21.6
204 6 24 -2.1 -2.1 -3.1 4.3
205 6 25 -22.8 -5.4 -16.6 28.7
206 6 26 -9.3 -11.6 -9.0 17.4
207 6 27 -17.3 -10.9 -17.5 26.9
208 6 28 -13.3 -12.8 -14.9 23.7
209 6 29 -23.6 16.3 -27.4 39.7
210 6 30 -10.7 -1.7 41.4 42.8
211 6 31 -19.2 -3.9 1.9 19.7
212 6 32 -15.5 2.6 5.9 16.8
213 6 33 -0.9 19.0 6.7 20.1
214 6 34 40.2 18.2 51.2 67.6
215 6 35 32.0 15.1 54.7 65.1
216 6 36 30.2 54.1 52.4 81.1
217 6 37 -12.5 17.4 19.3 28.8
218 6 38 -22.9 -6.4 -25.2 34.6
219 6 39 -17.1 3.6 -3.7 17.9
220 6 40 22.1 19.5 -4.9 29.9
221 6 41 23.9 34.5 20.4 46.7
222 6 42 44.5 24.3 -18.7 54.1
223 6 43 33.5 20.2 29.6 49.0
224 6 44 34.3 27.3 18.7 47.7
225 6 45 34.6 36.1 19.7 53.8
226 6 46 25.4 35.7 22.4 49.2
227 6 47 5.3 18.3 46.3 50.1
228 6 48 6.7 10.3 18.2 22.0
229 7 1 -10.5 16.9 -17.2 26.3
230 7 2 -14.3 -27.3 -24.6 39.4
231 7 3 -50.9 -26.0 -47.3 74.2
232 7 4 -27.5 -39.1 -31.6 57.3
233 7 5 -45.9 -40.9 -71.9 94.6
234 7 6 -34.3 -28.4 -72.9 85.4
235 7 7 -10.0 -37.0 -43.5 58.0
236 7 8 -6.8 -11.0 -47.1 48.9
237 7 9 9.3 -11.8 -18.3 23.7
238 7 10 9.1 -0.3 -20.9 22.8
239 7 11 23.6 -3.4 5.7 24.5
240 7 12 6.7 7.2 -0.1 9.8
241 7 13 -19.0 9.5 -21.6 30.3
242 7 14 -0.1 0.8 -6.4 6.5
243 7 15 5.9 -17.3 -22.1 28.7
244 7 16 6.7 11.9 -33.1 35.8
245 7 17 0.7 -14.5 -12.2 18.9
246 7 18 -10.7 22.2 -23.1 33.8
247 7 19 4.1 -20.2 22.9 30.9
248 7 20 7.9 -0.7 -9.5 12.4
249 7 21 -8.6 -9.6 -24.7 27.9
250 7 22 -8.9 -53.5 -20.5 58.0
251 7 23 26.2 -39.3 -6.3 47.7
252 7 24 -19.1 -6.8 -2.2 20.4
253 7 25 78.1 -2.8 -3.7 78.2
254 7 26 -17.3 -32.9 -20.5 42.4
255 7 27 -44.6 -40.3 -47.8 76.8
256 7 28 -45.1 -80.9 243.7 260.7
257 7 29 -3.3 -43.1 -11.9 44.8
258 7 30 -30.2 -32.3 -26.7 51.6
259 7 31 -13.9 -43.1 -5.5 45.6
260 7 32 -44.1 -7.4 -5.2 45.0
261 7 33 25.2 1.8 22.4 33.8
262 7 34 33.3 60.1 25.8 73.4
263 7 35 47.5 23.4 58.2 78.7
264 7 36 6.2 52.8 32.5 62.3
265 7 37 22.0 48.5 13.6 55.0
266 7 38 -16.6 16.4 -19.2 30.2
267 7 39 8.5 53.9 -33.8 64.2
268 7 40 44.6 50.2 34.7 75.6
269 7 41 41.6 50.0 30.1 71.7
270 7 42 40.1 16.2 32.9 54.4
271 7 43 -3.1 33.1 33.8 47.4
272 7 44 24.8 44.5 26.5 57.4
273 7 45 28.8 48.0 32.1 64.5
274 7 46 42.8 24.1 28.9 57.0
275 7 47 17.5 30.5 5.8 35.6
276 7 48 24.1 162.1 -5.0 163.9
Creating sector-motor-move file
sector motor steps
1 1 -9
1 2 -11
1 3 -8
1 4 -15
1 5 -7
1 6 -4
1 7 -14
1 8 -7
1 9 -15
1 10 -12
1 11 -8
1 12 -4
1 13 -7
1 14 -8
1 15 -4
1 16 -7
1 17 -5
1 18 -6
1 19 -5
1 20 5
1 21 -3
1 22 -3
1 23 0
1 24 -5
1 25 -8
1 26 -3
1 27 -4
1 28 -10
1 29 0
1 30 -3
1 31 -3
1 32 -2
1 33 0
1 34 -3
1 35 -2
1 36 0
1 37 -7
1 38 -3
1 39 -1
1 40 -3
1 41 0
1 42 0
1 43 -5
1 44 -2
1 45 7
1 46 3
1 47 -2
1 48 0
1 49 -6
1 50 -1
1 51 -1
1 52 -3
1 53 -2
1 54 -1
1 55 -3
1 56 -1
1 57 -2
1 58 -2
1 59 -2
1 60 -3
1 61 -1
1 62 2
1 63 -2
1 64 -2
1 65 -1
1 66 -2
1 67 -2
1 68 0
1 69 1
2 1 -14
2 2 -3
2 3 -2
2 4 0
2 5 0
2 6 1
2 7 -13
2 8 -11
2 9 -3
2 10 -6
2 11 -5
2 12 -1
2 13 -22
2 14 -8
2 15 -10
2 16 -11
2 17 -3
2 18 -2
2 19 -22
2 20 -12
2 21 -14
2 22 -14
2 23 -7
2 24 -3
2 25 -2
2 26 4
2 27 1
2 28 -3
2 29 3
2 30 0
2 31 2
2 32 7
2 33 4
2 34 1
2 35 -1
2 36 0
2 37 -5
2 38 0
2 39 0
2 40 -4
2 41 1
2 42 0
2 43 -4
2 44 -3
2 45 1
2 46 -2
2 47 0
2 48 0
2 49 0
2 50 0
2 51 2
2 52 0
2 53 -1
2 54 0
2 55 0
2 56 0
2 57 0
2 58 0
2 59 3
2 60 2
2 61 -5
2 62 0
2 63 0
2 64 1
2 65 0
2 66 -3
2 67 3
2 68 3
2 69 0
3 1 0
3 2 2
3 3 2
3 4 0
3 5 2
3 6 4
3 7 1
3 8 -1
3 9 7
3 10 6
3 11 2
3 12 8
3 13 -6
3 14 0
3 15 2
3 16 3
3 17 2
3 18 3
3 19 -5
3 20 -3
3 21 2
3 22 1
3 23 -3
3 24 4
3 25 1
3 26 10
3 27 4
3 28 3
3 29 7
3 30 4
3 31 3
3 32 6
3 33 3
3 34 0
3 35 2
3 36 2
3 37 1
3 38 4
3 39 4
3 40 1
3 41 2
3 42 1
3 43 4
3 44 1
3 45 2
3 46 2
3 47 2
3 48 6
3 49 0
3 50 2
3 51 2
3 52 5
3 53 3
3 54 1
3 55 2
3 56 2
3 57 3
3 58 -1
3 59 1
3 60 0
3 61 0
3 62 2
3 63 2
3 64 1
3 65 3
3 66 0
3 67 2
3 68 6
3 69 0
4 1 -10
4 2 3
4 3 2
4 4 -2
4 5 3
4 6 3
4 7 -6
4 8 -5
4 9 1
4 10 -3
4 11 -1
4 12 3
4 13 -1
4 14 0
4 15 0
4 16 -5
4 17 0
4 18 4
4 19 -6
4 20 2
4 21 -5
4 22 -4
4 23 3
4 24 4
4 25 0
4 26 2
4 27 0
4 28 1
4 29 3
4 30 1
4 31 -1
4 32 2
4 33 2
4 34 1
4 35 0
4 36 0
4 37 0
4 38 3
4 39 3
4 40 0
4 41 2
4 42 4
4 43 2
4 44 6
4 45 4
4 46 5
4 47 3
4 48 2
4 49 2
4 50 3
4 51 1
4 52 2
4 53 7
4 54 8
4 55 -2
4 56 2
4 57 5
4 58 0
4 59 4
4 60 4
4 61 2
4 62 4
4 63 0
4 64 2
4 65 0
4 66 6
4 67 0
4 68 2
4 69 4
5 1 -2
5 2 0
5 3 2
5 4 6
5 5 1
5 6 -6
5 7 7
5 8 -6
5 9 1
5 10 -7
5 11 -2
5 12 11
5 13 -7
5 14 6
5 15 -3
5 16 -27
5 17 0
5 18 0
5 19 -3
5 20 -4
5 21 0
5 22 -5
5 23 -2
5 24 -1
5 25 -2
5 26 -2
5 27 -4
5 28 0
5 29 2
5 30 4
5 31 -1
5 32 0
5 33 1
5 34 1
5 35 0
5 36 4
5 37 40
5 38 1
5 39 3
5 40 9
5 41 1
5 42 3
5 43 7
5 44 4
5 45 0
5 46 0
5 47 0
5 48 0
5 49 0
5 50 4
5 51 4
5 52 3
5 53 1
5 54 3
5 55 2
5 56 3
5 57 3
5 58 2
5 59 1
5 60 5
5 61 0
5 62 4
5 63 4
5 64 0
5 65 4
5 66 4
5 67 1
5 68 3
5 69 0
6 1 0
6 2 -2
6 3 -5
6 4 0
6 5 0
6 6 0
6 7 -1
6 8 -12
6 9 8
6 10 2
6 11 -3
6 12 5
6 13 -6
6 14 -16
6 15 -2
6 16 0
6 17 21
6 18 -3
6 19 -7
6 20 -2
6 21 -2
6 22 7
6 23 -3
6 24 -7
6 25 5
6 26 0
6 27 1
6 28 0
6 29 1
6 30 2
6 31 4
6 32 0
6 33 -4
6 34 5
6 35 0
6 36 0
6 37 0
6 38 0
6 39 -2
6 40 30
6 41 0
6 42 -1
6 43 -3
6 44 0
6 45 2
6 46 1
6 47 1
6 48 -1
6 49 1
6 50 0
6 51 -1
6 52 -1
6 53 0
6 54 -2
6 55 1
6 56 0
6 57 0
6 58 1
6 59 5
6 60 0
6 61 -1
6 62 1
6 63 -4
6 64 3
6 65 0
6 66 -1
6 67 6
6 68 3
6 69 3
7 1 74
7 2 -24
7 3 -13
7 4 -4
7 5 -3
7 6 -4
7 7 -14
7 8 -12
7 9 -13
7 10 -5
7 11 -3
7 12 -5
7 13 -6
7 14 -10
7 15 -5
7 16 -2
7 17 -3
7 18 -2
7 19 -1
7 20 0
7 21 23
7 22 -5
7 23 -1
7 24 -7
7 25 0
7 26 -1
7 27 -4
7 28 0
7 29 0
7 30 -3
7 31 0
7 32 -2
7 33 -5
7 34 1
7 35 0
7 36 -1
7 37 0
7 38 -2
7 39 -4
7 40 -3
7 41 -2
7 42 0
7 43 -2
7 44 0
7 45 3
7 46 5
7 47 4
7 48 -2
7 49 -3
7 50 -2
7 51 -1
7 52 0
7 53 0
7 54 -3
7 55 -1
7 56 -1
7 57 -1
7 58 3
7 59 -3
7 60 -2
7 61 1
7 62 3
7 63 -1
7 64 -2
7 65 -1
7 66 1
7 67 -4
7 68 0
7 69 1
8 1 -1
8 2 -2
8 3 -13
8 4 1
8 5 0
8 6 -4
8 7 -1
8 8 -13
8 9 -4
8 10 0
8 11 -1
8 12 -5
8 13 -8
8 14 -9
8 15 -9
8 16 12
8 17 0
8 18 -3
8 19 -3
8 20 -13
8 21 -1
8 22 -8
8 23 4
8 24 -7
8 25 2
8 26 -1
8 27 -4
8 28 0
8 29 0
8 30 1
8 31 -5
8 32 -1
8 33 -4
8 34 -2
8 35 0
8 36 -3
8 37 9
8 38 -1
8 39 1
8 40 4
8 41 -1
8 42 -1
8 43 -8
8 44 0
8 45 0
8 46 -17
8 47 1
8 48 -3
8 49 -2
8 50 2
8 51 -5
8 52 -3
8 53 -1
8 54 -1
8 55 0
8 56 -3
8 57 0
8 58 -3
8 59 -5
8 60 -3
8 61 1
8 62 0
8 63 -1
8 64 -2
8 65 0
8 66 -6
8 67 0
8 68 0
8 69 -4
9 1 9
9 2 16
9 3 1
9 4 16
9 5 16
9 6 9
9 7 17
9 8 7
9 9 14
9 10 16
9 11 4
9 12 9
9 13 7
9 14 18
9 15 10
9 16 15
9 17 5
9 18 12
9 19 6
9 20 0
9 21 7
9 22 2
9 23 5
9 24 0
9 25 7
9 26 5
9 27 2
9 28 2
9 29 0
9 30 -2
9 31 2
9 32 8
9 33 2
9 34 1
9 35 3
9 36 -1
9 37 5
9 38 2
9 39 0
9 40 -1
9 41 0
9 42 -1
9 43 5
9 44 7
9 45 2
9 46 -6
9 47 3
9 48 -9
9 49 -3
9 50 0
9 51 0
9 52 -7
9 53 -1
9 54 0
9 55 2
9 56 0
9 57 0
9 58 0
9 59 -19
9 60 -4
9 61 0
9 62 -1
9 63 0
9 64 -1
9 65 0
9 66 -3
9 67 -3
9 68 1
9 69 -1
10 1 10
10 2 15
10 3 13
10 4 -1
10 5 5
10 6 6
10 7 -10
10 8 16
10 9 2
10 10 -1
10 11 1
10 12 -5
10 13 -5
10 14 5
10 15 -5
10 16 -7
10 17 -1
10 18 -7
10 19 4
10 20 14
10 21 6
10 22 5
10 23 5
10 24 -3
10 25 -4
10 26 6
10 27 -12
10 28 -11
10 29 0
10 30 0
10 31 3
10 32 11
10 33 0
10 34 -3
10 35 0
10 36 -4
10 37 -5
10 38 5
10 39 -6
10 40 -5
10 41 1
10 42 -1
10 43 -3
10 44 8
10 45 3
10 46 -2
10 47 4
10 48 -1
10 49 -3
10 50 -3
10 51 -1
10 52 -3
10 53 -1
10 54 -3
10 55 -1
10 56 0
10 57 -2
10 58 0
10 59 -3
10 60 -2
10 61 -9
10 62 1
10 63 -3
10 64 -1
10 65 -3
10 66 -5
10 67 -7
10 68 0
10 69 -5
11 1 8
11 2 13
11 3 7
11 4 5
11 5 8
11 6 10
11 7 10
11 8 10
11 9 0
11 10 9
11 11 6
11 12 10
11 13 10
11 14 4
11 15 12
11 16 -5
11 17 7
11 18 13
11 19 9
11 20 15
11 21 12
11 22 6
11 23 10
11 24 7
11 25 1
11 26 4
11 27 2
11 28 -8
11 29 1
11 30 -5
11 31 0
11 32 4
11 33 2
11 34 -9
11 35 0
11 36 -7
11 37 -5
11 38 5
11 39 -7
11 40 -10
11 41 0
11 42 -5
11 43 5
11 44 7
11 45 6
11 46 -8
11 47 3
11 48 -7
11 49 -4
11 50 -1
11 51 -2
11 52 -10
11 53 -11
11 54 -2
11 55 -1
11 56 -1
11 57 0
11 58 1
11 59 -2
11 60 -2
11 61 -6
11 62 0
11 63 -4
11 64 -7
11 65 0
11 66 -7
11 67 -2
11 68 -2
11 69 -1
12 1 -1
12 2 49
12 3 7
12 4 5
12 5 3
12 6 2
12 7 1
12 8 9
12 9 5
12 10 14
12 11 5
12 12 1
12 13 8
12 14 7
12 15 13
12 16 6
12 17 10
12 18 7
12 19 9
12 20 14
12 21 8
12 22 6
12 23 11
12 24 10
12 25 1
12 26 5
12 27 0
12 28 -3
12 29 -4
12 30 -6
12 31 12
12 32 2
12 33 0
12 34 2
12 35 -4
12 36 -4
12 37 2
12 38 7
12 39 1
12 40 -3
12 41 -2
12 42 0
12 43 1
12 44 7
12 45 6
12 46 -1
12 47 0
12 48 0
12 49 -6
12 50 -5
12 51 -7
12 52 -2
12 53 -6
12 54 -3
12 55 -4
12 56 -4
12 57 -2
12 58 -1
12 59 3
12 60 0
12 61 -7
12 62 -2
12 63 -3
12 64 -5
12 65 0
12 66 -6
12 67 -10
12 68 -5
12 69 -5
Adjuster movements: rms = 22.3 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20070925-133952
Creating HTML output file of plots
Plotting summary text