![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050704-233528.fits
Reduced on 20050708-133134 by janw on moana
Reduction code id: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 256 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050704-233528.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -0.7 |
| data.pointing_offset_y | 13.0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.17 |
| 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 | 0.034169999999999999 |
| 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: 20050708-133134
Reading data from rxh3-20050704-233528.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 = 2401.7 max = 7634670370.4 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.170 mm
----------------- Data Summary ---------------------
Number of samples: 1466025
This is a 160 GHz map
Number of frequencies: 16
Frequencies (GHz):
160.676000 160.680000 160.684000 160.688000 160.692000 160.696000
160.700000 160.704000 160.708000 160.712000 160.716000 160.720000
160.724000 160.728000 160.732000 160.736000
item min max mean
loreal -3.12012 3.09814 -0.00416
loimag -3.14941 3.14209 -0.00904
hireal -5.00000 4.99756 -0.00398
hiimag -5.00000 4.99756 0.01909
xpos -7634670370.35370 2411.29335 -2603879.94265
ypos -2401.71418 11090087.98063 3782.52463
plock160 0.58594 1.97510 1.34430
lorefpwr 0.98145 2.83691 2.30215
losigpwr -4.54834 -0.19775 -4.35453
hirefpwr 1.02295 2.82715 2.32307
hisigpwr -4.46289 4.99756 -1.76623
encltemp 31.59180 32.86133 32.12999
flags 0.00000 256.00000 2.44471
phi-lock -1.70654 -0.34668 -1.07595
sindex 0.00000 254.00000 126.60925
time 0.00000 19150776.97328 9468.32322
zeropt -0.00732 -0.00488 -0.00603
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
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 = 20.00265 arcsec
Mean row spacing = 20.00266 arcsec (alternate estimator)
Mean tracking incline = -0.17129 arcsec
Mean pointing range = 0.66726 arcsec
Mean pointing rms = 0.13685 arcsec
This map *probably* has non-inclined rows
!!!Warning!!! Bad tracking on row 97: range = 7.34463 > 4.0
!!!Warning!!! Bad tracking on row 97: rms = 2.18824 > 2.0
Applying pointing shifts: (-0.7, 13.0 ) 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 = 7.63467e+09 arcsec
Grid extent = 2550 arcsec
lambda_min = 0.00186512
scale = 0.00259937
Diffraction scale lambda/D = 25.6569 arcsec
Gridding function extent = 153.941 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 76.9706 arcsec
Airy first null at 31.2929 arcsec
Gridding frequency index 0
lambda = 0.00186582 metres, scale = 0.0025984 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 3.0319 at (0.0, 0.0) arcsec
Real: mean = 0.000144678 sum of squares = 1905.18
Imag: mean = -0.000128388 sum of squares = 1990
Gridding frequency index 1
lambda = 0.00186577 metres, scale = 0.00259846 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 3.06233 at (0.0, 0.0) arcsec
Real: mean = 0.000220984 sum of squares = 2019.12
Imag: mean = -0.000142094 sum of squares = 1893.14
Gridding frequency index 2
lambda = 0.00186573 metres, scale = 0.00259852 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 3.09612 at (0.0, 0.0) arcsec
Real: mean = 0.000427454 sum of squares = 1986.14
Imag: mean = -0.000106184 sum of squares = 1952.5
Gridding frequency index 3
lambda = 0.00186568 metres, scale = 0.00259859 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 3.07389 at (0.0, 0.0) arcsec
Real: mean = 0.000472487 sum of squares = 1906.55
Imag: mean = 8.37682e-05 sum of squares = 2056.41
Gridding frequency index 4
lambda = 0.00186563 metres, scale = 0.00259865 radians per metre
Gridding real part of frequency 4...
Gridding imag part of frequency 4...
Pattern is holo(res.pattern4)
Weights in holo(obs.real,wt4) and holo(obs.imag,wt4)
Maximum amplitude = 3.02882 at (0.0, 0.0) arcsec
Real: mean = 0.000327324 sum of squares = 1993.92
Imag: mean = 0.000182098 sum of squares = 1989.36
Gridding frequency index 5
lambda = 0.00186559 metres, scale = 0.00259872 radians per metre
Gridding real part of frequency 5...
Gridding imag part of frequency 5...
Pattern is holo(res.pattern5)
Weights in holo(obs.real,wt5) and holo(obs.imag,wt5)
Maximum amplitude = 3.0351 at (0.0, 0.0) arcsec
Real: mean = 0.000194324 sum of squares = 2076.47
Imag: mean = 0.000230221 sum of squares = 1937.15
Gridding frequency index 6
lambda = 0.00186554 metres, scale = 0.00259878 radians per metre
Gridding real part of frequency 6...
Gridding imag part of frequency 6...
Pattern is holo(res.pattern6)
Weights in holo(obs.real,wt6) and holo(obs.imag,wt6)
Maximum amplitude = 3.08729 at (0.0, 0.0) arcsec
Real: mean = 4.3313e-05 sum of squares = 1995.52
Imag: mean = 0.000133162 sum of squares = 2050.55
Gridding frequency index 7
lambda = 0.00186549 metres, scale = 0.00259885 radians per metre
Gridding real part of frequency 7...
Gridding imag part of frequency 7...
Pattern is holo(res.pattern7)
Weights in holo(obs.real,wt7) and holo(obs.imag,wt7)
Maximum amplitude = 3.09938 at (0.0, 0.0) arcsec
Real: mean = 5.74849e-05 sum of squares = 1971.71
Imag: mean = -6.91982e-05 sum of squares = 2107.82
Gridding frequency index 8
lambda = 0.00186545 metres, scale = 0.00259891 radians per metre
Gridding real part of frequency 8...
Gridding imag part of frequency 8...
Pattern is holo(res.pattern8)
Weights in holo(obs.real,wt8) and holo(obs.imag,wt8)
Maximum amplitude = 3.12905 at (0.0, 0.0) arcsec
Real: mean = 0.000220073 sum of squares = 2098.41
Imag: mean = -0.00016469 sum of squares = 2009.97
Gridding frequency index 9
lambda = 0.0018654 metres, scale = 0.00259898 radians per metre
Gridding real part of frequency 9...
Gridding imag part of frequency 9...
Pattern is holo(res.pattern9)
Weights in holo(obs.real,wt9) and holo(obs.imag,wt9)
Maximum amplitude = 3.15163 at (0.0, 0.0) arcsec
Real: mean = 0.000371616 sum of squares = 2117.19
Imag: mean = -0.000123261 sum of squares = 2022.64
Gridding frequency index 10
lambda = 0.00186536 metres, scale = 0.00259904 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 3.14446 at (0.0, 0.0) arcsec
Real: mean = 0.000514936 sum of squares = 2020.26
Imag: mean = 1.84733e-05 sum of squares = 2154.22
Gridding frequency index 11
lambda = 0.00186531 metres, scale = 0.00259911 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 3.10468 at (0.0, 0.0) arcsec
Real: mean = 0.000440286 sum of squares = 2073.84
Imag: mean = 0.00024436 sum of squares = 2139.94
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 = 3.09646 at (0.0, 0.0) arcsec
Real: mean = 0.000293433 sum of squares = 2198.2
Imag: mean = 0.000273705 sum of squares = 2058.21
Gridding frequency index 13
lambda = 0.00186522 metres, scale = 0.00259924 radians per metre
Gridding real part of frequency 13...
Gridding imag part of frequency 13...
Pattern is holo(res.pattern13)
Weights in holo(obs.real,wt13) and holo(obs.imag,wt13)
Maximum amplitude = 3.13498 at (0.0, 0.0) arcsec
Real: mean = -3.32942e-06 sum of squares = 2161.84
Imag: mean = 0.000253327 sum of squares = 2141.62
Gridding frequency index 14
lambda = 0.00186517 metres, scale = 0.0025993 radians per metre
Gridding real part of frequency 14...
Gridding imag part of frequency 14...
Pattern is holo(res.pattern14)
Weights in holo(obs.real,wt14) and holo(obs.imag,wt14)
Maximum amplitude = 3.19441 at (0.0, 0.0) arcsec
Real: mean = 2.8711e-05 sum of squares = 2088.5
Imag: mean = -6.45833e-05 sum of squares = 2261.05
Gridding frequency index 15
lambda = 0.00186512 metres, scale = 0.00259937 radians per metre
Gridding real part of frequency 15...
Gridding imag part of frequency 15...
Pattern is holo(res.pattern15)
Weights in holo(obs.real,wt15) and holo(obs.imag,wt15)
Maximum amplitude = 3.2224 at (0.0, 0.0) arcsec
Real: mean = 0.000135294 sum of squares = 2220.25
Imag: mean = -7.92883e-05 sum of squares = 2183.98
Masking frequency index 0
Mask scale size = 6.11579
Masking frequency index 1
Mask scale size = 6.11594
Masking frequency index 2
Mask scale size = 6.11609
Masking frequency index 3
Mask scale size = 6.11625
Masking frequency index 4
Mask scale size = 6.1164
Masking frequency index 5
Mask scale size = 6.11655
Masking frequency index 6
Mask scale size = 6.1167
Masking frequency index 7
Mask scale size = 6.11686
Masking frequency index 8
Mask scale size = 6.11701
Masking frequency index 9
Mask scale size = 6.11716
Masking frequency index 10
Mask scale size = 6.11731
Masking frequency index 11
Mask scale size = 6.11746
Masking frequency index 12
Mask scale size = 6.11762
Masking frequency index 13
Mask scale size = 6.11777
Masking frequency index 14
Mask scale size = 6.11792
Masking frequency index 15
Mask scale size = 6.11807
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 1.4899 126.5
Freq 1: Shift, scale = 0.61918 126.39
Freq 2: Shift, scale = -0.24151 127.36
Freq 3: Shift, scale = -1.1044 127.71
Freq 4: Shift, scale = -1.9743 127.47
Freq 5: Shift, scale = -2.8376 127.26
Freq 6: Shift, scale = 2.5834 127.43
Freq 7: Shift, scale = 1.7318 128.72
Freq 8: Shift, scale = 0.86693 129.36
Freq 9: Shift, scale = -0.0063293 130.16
Freq 10: Shift, scale = -0.87233 131.06
Freq 11: Shift, scale = -1.7343 130.24
Freq 12: Shift, scale = -2.5939 130.27
Freq 13: Shift, scale = 2.8311 131.53
Freq 14: Shift, scale = 1.9589 133.01
Freq 15: Shift, scale = 1.0931 134.14
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: -0.261 radians
x offset: 0.0308 arcsec
y offset: 0.0222 arcsec
defocus: -0.000166 mm
Estimated x pointing error is -0.6692 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.02 arcsec (used 13 arcsec)
Estimated defocus error is 3.17 mm (used 3.17 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.268 radians
x offset: 0.0134 arcsec
y offset: 0.042 arcsec
defocus: 0.000515 mm
Estimated x pointing error is -0.6866 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.04 arcsec (used 13 arcsec)
Estimated defocus error is 3.171 mm (used 3.17 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.266 radians
x offset: 0.00946 arcsec
y offset: 0.0501 arcsec
defocus: -0.000305 mm
Estimated x pointing error is -0.6905 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.05 arcsec (used 13 arcsec)
Estimated defocus error is 3.17 mm (used 3.17 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.264 radians
x offset: 0.00813 arcsec
y offset: 0.0453 arcsec
defocus: 0.000426 mm
Estimated x pointing error is -0.6919 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.05 arcsec (used 13 arcsec)
Estimated defocus error is 3.17 mm (used 3.17 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.27 radians
x offset: 0.00731 arcsec
y offset: 0.0341 arcsec
defocus: 0.000588 mm
Estimated x pointing error is -0.6927 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.03 arcsec (used 13 arcsec)
Estimated defocus error is 3.171 mm (used 3.17 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.271 radians
x offset: -0.00184 arcsec
y offset: 0.0305 arcsec
defocus: -0.00115 mm
Estimated x pointing error is -0.7018 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.03 arcsec (used 13 arcsec)
Estimated defocus error is 3.169 mm (used 3.17 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.27 radians
x offset: -0.00989 arcsec
y offset: 0.0351 arcsec
defocus: -0.000937 mm
Estimated x pointing error is -0.7099 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.04 arcsec (used 13 arcsec)
Estimated defocus error is 3.169 mm (used 3.17 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.26 radians
x offset: -0.0209 arcsec
y offset: 0.0434 arcsec
defocus: -0.00185 mm
Estimated x pointing error is -0.7209 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.04 arcsec (used 13 arcsec)
Estimated defocus error is 3.168 mm (used 3.17 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.26 radians
x offset: -0.0253 arcsec
y offset: 0.0237 arcsec
defocus: -0.00129 mm
Estimated x pointing error is -0.7253 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.02 arcsec (used 13 arcsec)
Estimated defocus error is 3.169 mm (used 3.17 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.27 radians
x offset: -0.0329 arcsec
y offset: 0.0111 arcsec
defocus: -0.00183 mm
Estimated x pointing error is -0.7329 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13.01 arcsec (used 13 arcsec)
Estimated defocus error is 3.168 mm (used 3.17 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.273 radians
x offset: -0.0374 arcsec
y offset: 0.00348 arcsec
defocus: -0.0031 mm
Estimated x pointing error is -0.7374 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13 arcsec (used 13 arcsec)
Estimated defocus error is 3.167 mm (used 3.17 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.272 radians
x offset: -0.0531 arcsec
y offset: -0.000463 arcsec
defocus: -0.00315 mm
Estimated x pointing error is -0.7531 arcsec (used -0.7 arcsec)
Estimated y pointing error is 13 arcsec (used 13 arcsec)
Estimated defocus error is 3.167 mm (used 3.17 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.266 radians
x offset: -0.057 arcsec
y offset: -0.015 arcsec
defocus: -0.00278 mm
Estimated x pointing error is -0.757 arcsec (used -0.7 arcsec)
Estimated y pointing error is 12.98 arcsec (used 13 arcsec)
Estimated defocus error is 3.167 mm (used 3.17 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.261 radians
x offset: -0.0648 arcsec
y offset: -0.0238 arcsec
defocus: -0.00423 mm
Estimated x pointing error is -0.7648 arcsec (used -0.7 arcsec)
Estimated y pointing error is 12.98 arcsec (used 13 arcsec)
Estimated defocus error is 3.166 mm (used 3.17 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.268 radians
x offset: -0.0697 arcsec
y offset: -0.0414 arcsec
defocus: -0.00543 mm
Estimated x pointing error is -0.7697 arcsec (used -0.7 arcsec)
Estimated y pointing error is 12.96 arcsec (used 13 arcsec)
Estimated defocus error is 3.165 mm (used 3.17 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.269 radians
x offset: -0.0804 arcsec
y offset: -0.0382 arcsec
defocus: -0.00567 mm
Estimated x pointing error is -0.7804 arcsec (used -0.7 arcsec)
Estimated y pointing error is 12.96 arcsec (used 13 arcsec)
Estimated defocus error is 3.164 mm (used 3.17 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 -0.00185 piston
1 1 -0.00286 tilt_x
1 -1 -0.00881 tilt_y
2 2 -0.07468 astigmatism_0
2 0 -0.00217 curvature
2 -2 -0.00296 astigmatism45
3 3 -0.04179 trefoil_0
3 1 -0.01034 coma_x
3 -1 -0.03142 coma_y
3 -3 0.09474 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 -0.00186 piston
1 1 -0.00239 tilt_x
1 -1 -0.00853 tilt_y
2 2 -0.07417 astigmatism_0
2 0 -0.00215 curvature
2 -2 -0.00558 astigmatism45
3 3 -0.04367 trefoil_0
3 1 -0.00897 coma_x
3 -1 -0.03079 coma_y
3 -3 0.09279 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 -0.00183 piston
1 1 -0.00214 tilt_x
1 -1 -0.00871 tilt_y
2 2 -0.07217 astigmatism_0
2 0 -0.00205 curvature
2 -2 -0.00562 astigmatism45
3 3 -0.04410 trefoil_0
3 1 -0.00850 coma_x
3 -1 -0.03214 coma_y
3 -3 0.09057 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 -0.00186 piston
1 1 -0.00239 tilt_x
1 -1 -0.00847 tilt_y
2 2 -0.07250 astigmatism_0
2 0 -0.00208 curvature
2 -2 -0.00407 astigmatism45
3 3 -0.04220 trefoil_0
3 1 -0.00944 coma_x
3 -1 -0.03103 coma_y
3 -3 0.09106 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 -0.00184 piston
1 1 -0.00213 tilt_x
1 -1 -0.00793 tilt_y
2 2 -0.07377 astigmatism_0
2 0 -0.00206 curvature
2 -2 -0.00235 astigmatism45
3 3 -0.04282 trefoil_0
3 1 -0.00863 coma_x
3 -1 -0.02898 coma_y
3 -3 0.09211 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 -0.00190 piston
1 1 -0.00191 tilt_x
1 -1 -0.00796 tilt_y
2 2 -0.07481 astigmatism_0
2 0 -0.00228 curvature
2 -2 -0.00419 astigmatism45
3 3 -0.04205 trefoil_0
3 1 -0.00822 coma_x
3 -1 -0.02876 coma_y
3 -3 0.09163 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 -0.00189 piston
1 1 -0.00132 tilt_x
1 -1 -0.00876 tilt_y
2 2 -0.07432 astigmatism_0
2 0 -0.00225 curvature
2 -2 -0.00397 astigmatism45
3 3 -0.04230 trefoil_0
3 1 -0.00607 coma_x
3 -1 -0.03227 coma_y
3 -3 0.09080 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 -0.00195 piston
1 1 -0.00095 tilt_x
1 -1 -0.00895 tilt_y
2 2 -0.07237 astigmatism_0
2 0 -0.00230 curvature
2 -2 -0.00534 astigmatism45
3 3 -0.04430 trefoil_0
3 1 -0.00471 coma_x
3 -1 -0.03418 coma_y
3 -3 0.08889 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 -0.00198 piston
1 1 -0.00122 tilt_x
1 -1 -0.00853 tilt_y
2 2 -0.07281 astigmatism_0
2 0 -0.00226 curvature
2 -2 -0.00467 astigmatism45
3 3 -0.04139 trefoil_0
3 1 -0.00632 coma_x
3 -1 -0.03254 coma_y
3 -3 0.09024 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 -0.00194 piston
1 1 -0.00137 tilt_x
1 -1 -0.00858 tilt_y
2 2 -0.07453 astigmatism_0
2 0 -0.00219 curvature
2 -2 -0.00485 astigmatism45
3 3 -0.03900 trefoil_0
3 1 -0.00749 coma_x
3 -1 -0.03220 coma_y
3 -3 0.09268 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 -0.00193 piston
1 1 -0.00105 tilt_x
1 -1 -0.00851 tilt_y
2 2 -0.07424 astigmatism_0
2 0 -0.00228 curvature
2 -2 -0.00553 astigmatism45
3 3 -0.04003 trefoil_0
3 1 -0.00587 coma_x
3 -1 -0.03189 coma_y
3 -3 0.09132 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 -0.00194 piston
1 1 -0.00071 tilt_x
1 -1 -0.00841 tilt_y
2 2 -0.07421 astigmatism_0
2 0 -0.00228 curvature
2 -2 -0.00563 astigmatism45
3 3 -0.04151 trefoil_0
3 1 -0.00469 coma_x
3 -1 -0.03201 coma_y
3 -3 0.09164 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 -0.00199 piston
1 1 -0.00026 tilt_x
1 -1 -0.00865 tilt_y
2 2 -0.07413 astigmatism_0
2 0 -0.00230 curvature
2 -2 -0.00569 astigmatism45
3 3 -0.03970 trefoil_0
3 1 -0.00368 coma_x
3 -1 -0.03297 coma_y
3 -3 0.08940 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 -0.00205 piston
1 1 -0.00092 tilt_x
1 -1 -0.00846 tilt_y
2 2 -0.07426 astigmatism_0
2 0 -0.00235 curvature
2 -2 -0.00468 astigmatism45
3 3 -0.03798 trefoil_0
3 1 -0.00629 coma_x
3 -1 -0.03221 coma_y
3 -3 0.08879 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 -0.00206 piston
1 1 -0.00112 tilt_x
1 -1 -0.00864 tilt_y
2 2 -0.07589 astigmatism_0
2 0 -0.00229 curvature
2 -2 -0.00385 astigmatism45
3 3 -0.03680 trefoil_0
3 1 -0.00710 coma_x
3 -1 -0.03254 coma_y
3 -3 0.09139 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 -0.00201 piston
1 1 -0.00125 tilt_x
1 -1 -0.00881 tilt_y
2 2 -0.07571 astigmatism_0
2 0 -0.00235 curvature
2 -2 -0.00467 astigmatism45
3 3 -0.03734 trefoil_0
3 1 -0.00726 coma_x
3 -1 -0.03278 coma_y
3 -3 0.09212 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: 21.1 20.9 17.8 22.2 22.3 24.1 34 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.2 20.9 17.8 22 21.8 22.9 30.9 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.03 1.9 2.74 3.79 5.44 8.05 11.8 7.38
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.6 20.5 18.8 22.3 22.4 23.6 34.5 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.7 20.5 18.7 22.2 21.9 22.6 31.2 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1 1.85 2.68 3.73 5.4 7.99 11.7 7.31
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 20.2 18.4 22.2 22.2 24 34.7 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.2 18.4 22.1 21.8 23 31.3 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.03 1.9 2.72 3.71 5.3 7.82 11.5 7.18
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.6 20.5 18.2 21.8 22.1 24.2 34.2 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.7 20.5 18.2 21.6 21.7 23.1 30.9 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.01 1.86 2.68 3.69 5.29 7.81 11.4 7.16
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 20.7 17.8 21.2 22.2 24.2 33.7 25.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.8 17.8 21 21.7 22.9 30.6 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.945 1.76 2.58 3.65 5.33 7.92 11.6 7.23
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.4 17.8 21.1 22.2 23.7 33.9 25
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.1 20.5 17.8 21 21.7 22.6 30.7 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.936 1.74 2.58 3.66 5.35 7.93 11.6 7.24
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.7 20.6 18.4 21.9 22.3 23.6 34.4 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.8 20.6 18.4 21.8 21.8 22.6 31.1 24.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.02 1.88 2.71 3.74 5.35 7.89 11.5 7.23
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.5 20.7 18.8 22.8 22.1 23.6 34.4 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.7 20.7 18.8 22.7 21.7 22.7 31.1 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.07 1.96 2.78 3.74 5.28 7.76 11.4 7.15
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.1 20.5 18.1 22.3 21.8 24.2 34.3 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.3 20.6 18.1 22.3 21.4 23.1 30.9 24.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.03 1.89 2.71 3.71 5.28 7.78 11.4 7.14
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.6 20.5 17.9 21.7 21.9 24.2 34 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 20.6 17.9 21.6 21.5 22.9 30.7 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.03 1.89 2.73 3.75 5.37 7.91 11.6 7.26
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 20.7 17.6 21.2 22 23.8 33.9 25
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.9 20.7 17.6 21 21.6 22.6 30.7 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.01 1.86 2.69 3.72 5.33 7.86 11.5 7.21
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.5 20.5 20.4 21 22.1 23.5 34.2 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.7 20.5 20.4 20.9 21.7 22.6 30.8 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.01 1.86 2.69 3.72 5.35 7.9 11.6 7.24
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.4 20.3 18.8 21.6 22.1 23.5 34.5 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.6 20.3 18.8 21.5 21.8 22.6 31 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.03 1.9 2.72 3.72 5.29 7.78 11.4 7.14
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.4 18 22.2 21.9 23.8 34.1 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21.1 20.4 18 22.1 21.6 22.7 30.8 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.02 1.88 2.7 3.7 5.26 7.73 11.3 7.09
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.6 20.8 18 21.9 21.9 24.3 33.9 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 20.8 18 21.8 21.5 23.1 30.6 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.04 1.91 2.75 3.77 5.37 7.89 11.5 7.23
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 20.8 20.5 17.8 22.2 22.2 23.9 34.1 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 21 20.6 17.8 22.1 21.7 22.8 30.8 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.05 1.92 2.76 3.78 5.39 7.92 11.6 7.26
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 19.7 19.6 16.9 20.6 21.2 22.8 33 24.2
Mean deviation is -0.91938218845802755 microns
Taper = 10 dB, Ruze illumination-weighted rms = 23.3 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 20.4 micron
Centre pixel: 128.0 128.0 Value = 13440.5 (estimate), 15687.6 (perfect)
Strehl = 0.734034
Strehl ratio estimate = 0.734
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 19.8 micron
Centre pixel: 128.0 128.0 Value = 11879.9 (estimate), 15687.6 (perfect)
Strehl = 0.57347
Strehl ratio estimate = 0.5735
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.07514 metres
panel scale = 3.00000 metres
mean frequency = 160.70600 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 1.2 2.4 -8.7 9.1
2 1 2 12.7 -8.3 2.9 15.4
3 1 3 10.7 -3.8 -2.2 11.5
4 1 4 8.3 6.1 10.2 14.5
5 1 5 -13.1 3.1 5.3 14.4
6 1 6 16.9 -12.0 -10.4 23.2
7 1 7 4.2 -0.1 -6.1 7.4
8 1 8 6.1 0.9 3.9 7.3
9 1 9 -40.8 13.4 6.0 43.3
10 1 10 13.2 7.8 3.6 15.7
11 1 11 13.8 9.5 -3.1 17.0
12 1 12 25.2 4.6 5.9 26.3
13 2 1 10.2 -4.7 -3.8 11.9
14 2 2 8.9 -2.3 -7.5 11.9
15 2 3 -3.8 -5.2 -16.7 17.9
16 2 4 -5.1 -1.6 -6.1 8.1
17 2 5 -9.4 -8.3 -7.6 14.7
18 2 6 3.7 -1.3 1.5 4.2
19 2 7 -13.5 -7.2 7.0 16.8
20 2 8 4.5 18.3 5.1 19.5
21 2 9 6.7 3.3 0.9 7.5
22 2 10 4.7 -1.4 -1.8 5.2
23 2 11 -4.8 -4.7 -2.9 7.3
24 2 12 -15.2 -4.1 -10.3 18.9
25 2 13 -7.4 8.5 -4.0 11.9
26 2 14 -12.3 -13.4 0.6 18.3
27 2 15 5.5 1.6 -5.8 8.1
28 2 16 3.4 5.8 4.4 8.0
29 2 17 15.4 7.4 5.4 17.9
30 2 18 11.9 6.4 -8.2 15.8
31 2 19 7.6 14.4 -10.5 19.4
32 2 20 9.4 -2.9 -3.0 10.3
33 2 21 1.0 -3.0 -11.7 12.1
34 2 22 0.6 -18.5 -19.8 27.2
35 2 23 17.9 -14.1 -10.0 24.9
36 2 24 6.0 -11.6 -0.1 13.1
37 3 1 -3.1 2.9 -2.9 5.1
38 3 2 -0.3 2.4 -3.6 4.3
39 3 3 1.5 0.1 -12.8 12.9
40 3 4 11.2 2.9 1.2 11.7
41 3 5 -1.6 1.6 -18.0 18.2
42 3 6 1.0 -1.5 -5.6 5.9
43 3 7 3.9 -2.9 -10.8 11.8
44 3 8 0.1 4.4 -1.5 4.6
45 3 9 0.3 -1.5 -10.7 10.9
46 3 10 4.5 -3.1 -4.1 6.9
47 3 11 -6.4 -1.6 -17.9 19.1
48 3 12 -5.5 10.2 -4.8 12.5
49 3 13 -6.8 2.1 2.8 7.6
50 3 14 9.9 3.3 -3.3 10.9
51 3 15 14.4 4.9 7.2 16.8
52 3 16 13.5 6.1 1.1 14.8
53 3 17 5.5 9.8 0.1 11.2
54 3 18 10.6 8.3 13.4 19.0
55 3 19 13.4 6.6 0.5 14.9
56 3 20 -2.2 8.1 3.3 9.0
57 3 21 -2.0 7.6 -9.6 12.4
58 3 22 7.8 0.9 -3.1 8.4
59 3 23 -0.6 1.2 -10.0 10.1
60 3 24 10.7 -1.7 -4.5 11.7
61 3 25 3.1 2.4 -12.6 13.2
62 3 26 -1.5 -2.7 -3.0 4.3
63 3 27 7.1 -4.5 -11.8 14.5
64 3 28 13.9 5.1 -8.0 16.8
65 3 29 10.8 7.4 6.0 14.4
66 3 30 11.5 -11.1 16.0 22.6
67 3 31 -2.6 10.2 8.1 13.3
68 3 32 -1.0 3.2 5.8 6.7
69 3 33 18.2 4.2 5.8 19.5
70 3 34 19.7 9.2 21.1 30.3
71 3 35 -0.4 7.4 -4.4 8.6
72 3 36 13.3 7.8 -0.1 15.4
73 3 37 -9.3 6.4 -28.0 30.2
74 3 38 -6.3 9.6 -11.5 16.3
75 3 39 -0.4 -1.1 -16.0 16.0
76 3 40 -3.2 6.2 -11.9 13.7
77 3 41 -1.6 6.3 -4.5 7.9
78 3 42 2.7 2.2 4.5 5.7
79 3 43 2.6 -4.2 0.7 5.0
80 3 44 8.7 0.5 -0.6 8.7
81 3 45 0.5 0.0 -12.3 12.3
82 3 46 3.7 -2.2 -6.0 7.4
83 3 47 -5.9 -3.5 -4.5 8.2
84 3 48 0.5 3.3 -16.9 17.2
85 4 1 -1.6 -4.1 9.9 10.8
86 4 2 0.6 2.6 0.9 2.8
87 4 3 5.6 5.0 2.3 7.9
88 4 4 1.4 5.6 -18.5 19.4
89 4 5 -2.0 3.4 -4.1 5.7
90 4 6 -5.1 -0.1 -3.4 6.2
91 4 7 -8.7 -3.6 -1.1 9.4
92 4 8 -6.6 -0.5 -15.4 16.7
93 4 9 4.4 2.0 -7.3 8.7
94 4 10 -33.2 -3.6 -13.7 36.1
95 4 11 -6.8 -2.2 -18.8 20.1
96 4 12 -9.0 3.3 -12.5 15.7
97 4 13 0.3 3.7 1.6 4.1
98 4 14 4.2 -2.6 -15.8 16.6
99 4 15 -2.3 -2.3 -2.5 4.1
100 4 16 -0.9 8.3 -0.9 8.4
101 4 17 8.1 2.4 -5.2 9.9
102 4 18 2.2 1.5 -0.7 2.8
103 4 19 -14.6 0.8 2.7 14.9
104 4 20 2.5 7.8 1.7 8.3
105 4 21 11.3 8.5 8.9 16.7
106 4 22 -17.9 4.4 6.1 19.4
107 4 23 -8.7 -0.3 11.5 14.4
108 4 24 0.9 4.9 8.3 9.7
109 4 25 -12.9 9.4 29.8 33.8
110 4 26 -9.3 -6.8 -7.0 13.4
111 4 27 0.6 -3.0 1.0 3.2
112 4 28 -2.3 -1.4 1.1 2.9
113 4 29 -11.5 2.0 -52.6 53.9
114 4 30 -2.0 -3.1 10.6 11.2
115 4 31 2.1 -0.1 -10.4 10.6
116 4 32 5.0 3.8 -2.5 6.8
117 4 33 -7.1 13.9 -3.0 15.8
118 4 34 6.5 4.5 -1.2 8.0
119 4 35 1.2 10.6 -12.9 16.8
120 4 36 -0.4 -2.2 4.7 5.2
121 4 37 -10.3 8.1 -3.9 13.7
122 4 38 -12.7 2.2 -15.2 19.9
123 4 39 -7.0 -7.6 -4.8 11.4
124 4 40 15.5 -0.9 -7.2 17.1
125 4 41 -7.6 7.2 -25.1 27.3
126 4 42 -15.6 -7.8 -20.0 26.6
127 4 43 -13.8 -6.7 -16.8 22.7
128 4 44 -11.6 -3.4 -13.3 17.9
129 4 45 5.4 1.7 -17.1 18.1
130 4 46 -2.0 -5.7 -18.1 19.1
131 4 47 -5.1 -11.0 6.0 13.5
132 4 48 -12.4 -4.1 -1.9 13.2
133 5 1 13.5 13.4 14.0 23.6
134 5 2 9.7 8.1 10.1 16.2
135 5 3 1.7 18.4 13.3 22.8
136 5 4 0.4 3.6 3.5 5.1
137 5 5 1.3 1.0 -2.8 3.3
138 5 6 1.8 -1.0 -2.8 3.4
139 5 7 -1.9 9.8 2.7 10.4
140 5 8 -3.0 2.3 -10.4 11.0
141 5 9 -6.7 -5.1 -7.4 11.2
142 5 10 0.9 -7.8 -3.8 8.8
143 5 11 -4.6 -1.7 -6.9 8.5
144 5 12 -8.1 7.2 -14.2 17.9
145 5 13 0.4 0.7 0.4 0.9
146 5 14 -7.9 1.6 -12.3 14.6
147 5 15 0.6 5.6 -10.6 12.0
148 5 16 -5.0 3.0 -9.3 11.0
149 5 17 -0.8 6.4 36.7 37.2
150 5 18 6.1 4.8 210.3 210.4
151 5 19 -15.9 2.4 1.6 16.2
152 5 20 -11.1 -1.2 -6.3 12.8
153 5 21 -1.2 10.2 15.0 18.1
154 5 22 -8.3 7.1 13.9 17.7
155 5 23 -7.6 6.5 22.9 25.0
156 5 24 3.1 1.3 16.5 16.8
157 5 25 -1.9 6.8 9.7 12.1
158 5 26 -9.2 -3.7 6.9 12.1
159 5 27 -10.9 1.1 -4.4 11.8
160 5 28 -7.5 3.0 8.0 11.4
161 5 29 1.3 2.4 -12.3 12.6
162 5 30 2.7 -8.0 5.1 9.9
163 5 31 2.2 -1.3 -2.0 3.3
164 5 32 -9.5 -4.2 7.6 12.9
165 5 33 14.2 16.3 7.3 22.8
166 5 34 7.5 3.0 -1.7 8.2
167 5 35 3.7 7.6 7.5 11.3
168 5 36 13.7 0.1 8.9 16.4
169 5 37 12.7 8.6 -14.7 21.2
170 5 38 -7.4 3.2 -12.7 15.0
171 5 39 0.9 13.6 -14.3 19.8
172 5 40 -13.1 -5.2 -11.2 18.0
173 5 41 3.9 -2.5 -4.1 6.2
174 5 42 -8.9 -9.1 -26.5 29.4
175 5 43 -20.0 -9.5 -17.7 28.3
176 5 44 -8.7 0.6 -15.0 17.4
177 5 45 8.2 3.5 -7.7 11.8
178 5 46 -6.0 9.0 1.9 11.0
179 5 47 3.3 0.8 -5.9 6.9
180 5 48 -1.6 18.7 1.4 18.8
181 6 1 14.9 22.2 24.0 35.9
182 6 2 5.3 18.1 24.6 31.0
183 6 3 4.3 12.0 11.6 17.3
184 6 4 8.3 9.2 0.2 12.4
185 6 5 6.2 5.9 -12.0 14.7
186 6 6 9.7 -0.6 5.0 11.0
187 6 7 -5.6 -2.5 -17.3 18.4
188 6 8 5.7 -9.0 4.1 11.4
189 6 9 -3.6 -15.3 -21.5 26.7
190 6 10 -9.2 -9.2 -8.5 15.6
191 6 11 -7.9 -18.8 -15.9 25.8
192 6 12 -8.4 -7.7 -24.9 27.3
193 6 13 -1.0 -9.3 -27.9 29.4
194 6 14 -6.1 -5.5 -31.3 32.3
195 6 15 -9.7 -16.4 -9.4 21.3
196 6 16 2.1 11.3 -0.6 11.5
197 6 17 -0.2 -2.2 -4.0 4.5
198 6 18 13.0 6.6 -37.4 40.2
199 6 19 11.4 -1.7 24.2 26.8
200 6 20 5.6 18.5 24.4 31.1
201 6 21 9.1 13.8 -2.5 16.7
202 6 22 16.4 6.3 -0.9 17.6
203 6 23 15.0 5.5 11.1 19.4
204 6 24 10.1 6.9 3.1 12.6
205 6 25 -5.5 1.8 -19.7 20.5
206 6 26 -7.9 -2.4 -0.6 8.3
207 6 27 1.7 2.9 5.9 6.7
208 6 28 -3.4 3.7 11.1 12.2
209 6 29 -0.1 41.4 -14.9 44.0
210 6 30 -3.8 5.3 58.3 58.6
211 6 31 -13.9 0.6 -11.1 17.8
212 6 32 -4.2 -12.3 -4.9 13.9
213 6 33 -5.0 4.8 -0.5 6.9
214 6 34 20.5 14.1 19.8 31.8
215 6 35 13.0 -0.9 8.6 15.6
216 6 36 8.7 23.0 0.7 24.6
217 6 37 -0.4 2.1 -4.4 4.9
218 6 38 3.9 -19.5 -9.1 21.9
219 6 39 -6.4 -11.5 -17.8 22.1
220 6 40 3.5 -15.2 -12.8 20.2
221 6 41 -8.2 -11.5 -22.6 26.6
222 6 42 5.1 -7.1 -21.3 23.1
223 6 43 -2.2 -17.7 -1.9 18.0
224 6 44 3.2 -6.5 -8.2 10.9
225 6 45 13.7 8.7 -2.1 16.4
226 6 46 -0.2 16.9 6.9 18.3
227 6 47 1.5 6.8 11.0 13.0
228 6 48 8.0 23.5 29.5 38.5
229 7 1 27.5 43.1 54.5 74.7
230 7 2 15.0 43.1 40.2 60.9
231 7 3 9.2 36.6 35.9 52.1
232 7 4 11.5 15.4 30.1 35.7
233 7 5 -20.8 9.5 -16.6 28.2
234 7 6 1.7 -4.3 -12.4 13.2
235 7 7 -5.9 -11.5 -31.3 33.9
236 7 8 -6.5 -16.9 -44.4 48.0
237 7 9 -14.6 -21.9 -46.1 53.1
238 7 10 -24.4 -27.4 -43.5 56.9
239 7 11 -3.0 -27.0 -29.5 40.1
240 7 12 5.6 -13.1 -14.2 20.1
241 7 13 -33.4 -23.4 -42.1 58.6
242 7 14 -19.7 -9.8 -19.8 29.6
243 7 15 1.2 -21.9 -11.8 24.9
244 7 16 -6.4 -4.8 -23.8 25.1
245 7 17 3.9 12.6 7.6 15.3
246 7 18 4.5 3.0 -11.9 13.0
247 7 19 3.0 -4.1 17.6 18.4
248 7 20 -3.4 5.3 12.5 14.0
249 7 21 12.9 13.3 10.6 21.3
250 7 22 5.5 -71.6 -8.8 72.3
251 7 23 11.0 -9.9 -6.1 16.0
252 7 24 -3.6 -4.0 0.5 5.4
253 7 25 -21.2 -2.6 -13.6 25.3
254 7 26 -6.6 -3.0 -13.7 15.5
255 7 27 1.8 -5.8 -28.5 29.1
256 7 28 -14.9 -34.8 275.5 278.1
257 7 29 6.2 2.1 5.3 8.4
258 7 30 -6.9 -48.8 -10.1 50.3
259 7 31 -19.5 -22.2 -13.7 32.6
260 7 32 -23.4 -15.4 -16.0 32.3
261 7 33 7.8 -18.2 -6.4 20.8
262 7 34 -5.9 -2.0 -15.0 16.2
263 7 35 12.4 -0.7 6.9 14.2
264 7 36 -1.8 1.9 -1.9 3.3
265 7 37 3.2 5.9 -10.4 12.4
266 7 38 -5.9 -20.9 -10.2 24.0
267 7 39 -2.8 -10.1 -27.5 29.5
268 7 40 -20.0 -19.7 -50.5 57.8
269 7 41 -24.8 -19.3 -35.2 47.1
270 7 42 -14.6 -31.0 -48.4 59.3
271 7 43 -46.6 -16.7 -11.6 50.8
272 7 44 -10.2 13.9 -10.4 20.2
273 7 45 2.3 6.2 9.9 11.9
274 7 46 18.7 15.4 13.1 27.6
275 7 47 5.0 23.0 25.9 35.0
276 7 48 21.8 189.3 30.6 193.0
Creating sector-motor-move file
sector motor steps
1 1 9
1 2 4
1 3 3
1 4 0
1 5 2
1 6 2
1 7 11
1 8 11
1 9 2
1 10 3
1 11 3
1 12 1
1 13 12
1 14 13
1 15 4
1 16 7
1 17 5
1 18 1
1 19 16
1 20 13
1 21 8
1 22 7
1 23 6
1 24 4
1 25 1
1 26 1
1 27 0
1 28 -5
1 29 1
1 30 0
1 31 4
1 32 5
1 33 0
1 34 0
1 35 1
1 36 1
1 37 3
1 38 2
1 39 2
1 40 0
1 41 0
1 42 0
1 43 4
1 44 4
1 45 4
1 46 3
1 47 -1
1 48 0
1 49 -3
1 50 0
1 51 0
1 52 -2
1 53 0
1 54 2
1 55 -1
1 56 0
1 57 0
1 58 0
1 59 0
1 60 -2
1 61 0
1 62 0
1 63 0
1 64 -1
1 65 3
1 66 -1
1 67 0
1 68 0
1 69 3
2 1 -13
2 2 -5
2 3 -1
2 4 1
2 5 -2
2 6 1
2 7 -9
2 8 -3
2 9 -1
2 10 -5
2 11 0
2 12 -1
2 13 -3
2 14 -1
2 15 0
2 16 1
2 17 0
2 18 2
2 19 -5
2 20 2
2 21 -6
2 22 -3
2 23 1
2 24 1
2 25 -3
2 26 0
2 27 0
2 28 -4
2 29 0
2 30 -2
2 31 0
2 32 3
2 33 0
2 34 0
2 35 -1
2 36 -2
2 37 0
2 38 0
2 39 0
2 40 -1
2 41 0
2 42 -1
2 43 0
2 44 0
2 45 0
2 46 -1
2 47 1
2 48 0
2 49 -3
2 50 0
2 51 1
2 52 -1
2 53 0
2 54 -1
2 55 -1
2 56 0
2 57 0
2 58 -2
2 59 3
2 60 0
2 61 -5
2 62 0
2 63 0
2 64 -2
2 65 -1
2 66 -5
2 67 0
2 68 1
2 69 0
3 1 -4
3 2 -4
3 3 1
3 4 -7
3 5 -2
3 6 -2
3 7 -9
3 8 -8
3 9 0
3 10 -4
3 11 -5
3 12 -2
3 13 -13
3 14 -8
3 15 -7
3 16 -2
3 17 -2
3 18 -2
3 19 -14
3 20 -6
3 21 -4
3 22 -6
3 23 -4
3 24 -1
3 25 -4
3 26 2
3 27 -2
3 28 -3
3 29 1
3 30 -2
3 31 -2
3 32 0
3 33 -1
3 34 -5
3 35 0
3 36 -2
3 37 -1
3 38 -2
3 39 0
3 40 -4
3 41 -1
3 42 -10
3 43 -2
3 44 -1
3 45 -2
3 46 -2
3 47 0
3 48 1
3 49 -5
3 50 0
3 51 -1
3 52 0
3 53 0
3 54 1
3 55 -1
3 56 0
3 57 1
3 58 -1
3 59 3
3 60 0
3 61 -3
3 62 0
3 63 0
3 64 -2
3 65 -2
3 66 -2
3 67 -1
3 68 3
3 69 -1
4 1 -7
4 2 -1
4 3 -1
4 4 0
4 5 3
4 6 0
4 7 -3
4 8 -6
4 9 0
4 10 -2
4 11 -5
4 12 -2
4 13 -6
4 14 -3
4 15 -6
4 16 -9
4 17 -1
4 18 -1
4 19 -12
4 20 -7
4 21 -10
4 22 -8
4 23 -2
4 24 0
4 25 -2
4 26 0
4 27 -1
4 28 0
4 29 2
4 30 0
4 31 -3
4 32 1
4 33 0
4 34 0
4 35 0
4 36 0
4 37 -3
4 38 0
4 39 -2
4 40 -4
4 41 0
4 42 1
4 43 0
4 44 0
4 45 0
4 46 0
4 47 1
4 48 0
4 49 2
4 50 1
4 51 4
4 52 1
4 53 5
4 54 1
4 55 -1
4 56 1
4 57 3
4 58 1
4 59 2
4 60 3
4 61 0
4 62 0
4 63 -2
4 64 1
4 65 -4
4 66 2
4 67 0
4 68 1
4 69 4
5 1 3
5 2 1
5 3 -1
5 4 7
5 5 5
5 6 1
5 7 5
5 8 -1
5 9 0
5 10 7
5 11 0
5 12 3
5 13 -3
5 14 0
5 15 1
5 16 -11
5 17 2
5 18 3
5 19 2
5 20 3
5 21 1
5 22 -1
5 23 0
5 24 0
5 25 -1
5 26 0
5 27 -3
5 28 0
5 29 2
5 30 0
5 31 0
5 32 0
5 33 -4
5 34 0
5 35 0
5 36 -4
5 37 64
5 38 1
5 39 1
5 40 0
5 41 0
5 42 0
5 43 11
5 44 1
5 45 0
5 46 -1
5 47 0
5 48 2
5 49 0
5 50 2
5 51 4
5 52 0
5 53 0
5 54 1
5 55 4
5 56 2
5 57 3
5 58 0
5 59 -4
5 60 1
5 61 0
5 62 3
5 63 1
5 64 -1
5 65 2
5 66 0
5 67 1
5 68 2
5 69 0
6 1 0
6 2 -1
6 3 -1
6 4 0
6 5 2
6 6 3
6 7 -1
6 8 -3
6 9 3
6 10 3
6 11 1
6 12 4
6 13 -2
6 14 -21
6 15 1
6 16 0
6 17 1
6 18 5
6 19 3
6 20 4
6 21 3
6 22 0
6 23 4
6 24 2
6 25 5
6 26 0
6 27 0
6 28 2
6 29 1
6 30 0
6 31 7
6 32 1
6 33 -2
6 34 3
6 35 0
6 36 -2
6 37 4
6 38 2
6 39 -2
6 40 1
6 41 1
6 42 -5
6 43 4
6 44 3
6 45 0
6 46 2
6 47 2
6 48 3
6 49 -3
6 50 0
6 51 0
6 52 -3
6 53 -1
6 54 -4
6 55 0
6 56 0
6 57 2
6 58 -3
6 59 5
6 60 -3
6 61 -2
6 62 2
6 63 0
6 64 2
6 65 -1
6 66 0
6 67 -1
6 68 0
6 69 3
7 1 84
7 2 -10
7 3 -4
7 4 3
7 5 1
7 6 -1
7 7 -8
7 8 -1
7 9 0
7 10 1
7 11 0
7 12 0
7 13 -4
7 14 0
7 15 -2
7 16 0
7 17 0
7 18 -2
7 19 -4
7 20 0
7 21 -6
7 22 -6
7 23 0
7 24 -1
7 25 2
7 26 0
7 27 -2
7 28 0
7 29 0
7 30 0
7 31 -1
7 32 0
7 33 -3
7 34 0
7 35 0
7 36 0
7 37 2
7 38 -1
7 39 -2
7 40 -2
7 41 -2
7 42 -2
7 43 2
7 44 2
7 45 0
7 46 9
7 47 2
7 48 -3
7 49 -3
7 50 -1
7 51 2
7 52 0
7 53 -4
7 54 -3
7 55 0
7 56 0
7 57 0
7 58 0
7 59 1
7 60 -1
7 61 -3
7 62 0
7 63 0
7 64 0
7 65 -2
7 66 -1
7 67 -2
7 68 1
7 69 4
8 1 -4
8 2 -4
8 3 -7
8 4 -1
8 5 -3
8 6 -1
8 7 -4
8 8 -6
8 9 -5
8 10 -3
8 11 0
8 12 -4
8 13 -3
8 14 -14
8 15 -2
8 16 17
8 17 1
8 18 -1
8 19 1
8 20 0
8 21 1
8 22 -4
8 23 12
8 24 0
8 25 2
8 26 -1
8 27 -2
8 28 0
8 29 1
8 30 1
8 31 0
8 32 0
8 33 0
8 34 -3
8 35 0
8 36 0
8 37 1
8 38 -2
8 39 0
8 40 3
8 41 0
8 42 0
8 43 -3
8 44 0
8 45 0
8 46 -16
8 47 0
8 48 -3
8 49 2
8 50 3
8 51 0
8 52 1
8 53 1
8 54 1
8 55 4
8 56 -3
8 57 3
8 58 0
8 59 1
8 60 1
8 61 1
8 62 2
8 63 3
8 64 2
8 65 1
8 66 -1
8 67 1
8 68 0
8 69 0
9 1 0
9 2 0
9 3 0
9 4 0
9 5 7
9 6 2
9 7 2
9 8 0
9 9 3
9 10 2
9 11 0
9 12 3
9 13 -4
9 14 0
9 15 -1
9 16 6
9 17 4
9 18 6
9 19 -1
9 20 -5
9 21 2
9 22 0
9 23 1
9 24 -1
9 25 2
9 26 0
9 27 4
9 28 1
9 29 0
9 30 0
9 31 2
9 32 2
9 33 1
9 34 -3
9 35 3
9 36 0
9 37 0
9 38 0
9 39 2
9 40 0
9 41 1
9 42 2
9 43 2
9 44 5
9 45 4
9 46 0
9 47 4
9 48 -2
9 49 -1
9 50 2
9 51 0
9 52 -2
9 53 1
9 54 3
9 55 6
9 56 2
9 57 6
9 58 4
9 59 -12
9 60 1
9 61 1
9 62 1
9 63 5
9 64 4
9 65 4
9 66 1
9 67 0
9 68 2
9 69 4
10 1 -15
10 2 -6
10 3 -6
10 4 -3
10 5 -4
10 6 1
10 7 -8
10 8 -3
10 9 0
10 10 -5
10 11 -3
10 12 -1
10 13 -3
10 14 -6
10 15 -1
10 16 -2
10 17 -5
10 18 1
10 19 -3
10 20 1
10 21 0
10 22 -1
10 23 0
10 24 0
10 25 -3
10 26 -1
10 27 -4
10 28 -2
10 29 0
10 30 4
10 31 -4
10 32 4
10 33 0
10 34 -1
10 35 -2
10 36 -2
10 37 -3
10 38 0
10 39 -2
10 40 -4
10 41 0
10 42 -3
10 43 -4
10 44 2
10 45 3
10 46 -1
10 47 2
10 48 -3
10 49 -4
10 50 0
10 51 0
10 52 0
10 53 0
10 54 2
10 55 -3
10 56 2
10 57 -1
10 58 2
10 59 4
10 60 1
10 61 -8
10 62 1
10 63 -2
10 64 0
10 65 2
10 66 -3
10 67 -3
10 68 1
10 69 0
11 1 -3
11 2 4
11 3 -3
11 4 -2
11 5 -1
11 6 0
11 7 -3
11 8 -5
11 9 -14
11 10 0
11 11 -5
11 12 0
11 13 -14
11 14 -9
11 15 -4
11 16 -6
11 17 -2
11 18 1
11 19 -10
11 20 -5
11 21 -7
11 22 -6
11 23 -3
11 24 -2
11 25 -4
11 26 0
11 27 -2
11 28 -4
11 29 -1
11 30 -3
11 31 -5
11 32 -2
11 33 -6
11 34 -5
11 35 -2
11 36 -4
11 37 -8
11 38 -2
11 39 -2
11 40 -6
11 41 -2
11 42 -4
11 43 -1
11 44 0
11 45 1
11 46 -7
11 47 2
11 48 -2
11 49 0
11 50 -1
11 51 0
11 52 -6
11 53 -5
11 54 0
11 55 1
11 56 0
11 57 0
11 58 2
11 59 4
11 60 0
11 61 -1
11 62 1
11 63 0
11 64 -4
11 65 0
11 66 -3
11 67 0
11 68 0
11 69 2
12 1 9
12 2 58
12 3 6
12 4 9
12 5 7
12 6 2
12 7 7
12 8 7
12 9 1
12 10 3
12 11 2
12 12 0
12 13 4
12 14 4
12 15 5
12 16 2
12 17 5
12 18 0
12 19 3
12 20 1
12 21 0
12 22 0
12 23 2
12 24 4
12 25 0
12 26 5
12 27 0
12 28 0
12 29 -1
12 30 -3
12 31 -1
12 32 0
12 33 1
12 34 1
12 35 -3
12 36 -1
12 37 0
12 38 2
12 39 -1
12 40 -5
12 41 -1
12 42 0
12 43 -2
12 44 1
12 45 2
12 46 -5
12 47 0
12 48 1
12 49 -1
12 50 -1
12 51 -1
12 52 0
12 53 -3
12 54 1
12 55 -1
12 56 0
12 57 1
12 58 1
12 59 7
12 60 1
12 61 -3
12 62 0
12 63 0
12 64 -1
12 65 5
12 66 -3
12 67 -5
12 68 1
12 69 0
Adjuster movements: rms = 18.8 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050708-135930
Creating HTML output file of plots
Plotting summary text