![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20071013-020024.fits
Reduced on 20071016-130836 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 | rxh3-20071013-020024.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 9.3 |
| data.pointing_offset_y | 9.7 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.14 |
| 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 | 0.034140000000000004 |
| 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: 20071016-130836
Reading data from rxh3-20071013-020024.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 = 2380.7 max = 2419.4 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.140 mm
----------------- Data Summary ---------------------
Number of samples: 1459000
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 -2.82227 2.72461 0.00433
loimag -2.82959 2.78809 0.00216
hireal -5.00000 4.99756 -0.01693
hiimag -5.00000 4.99756 0.01753
xpos -2419.37939 2405.44193 -10.99801
ypos -2380.72490 2403.18138 9.91683
plock160 1.55518 2.71973 2.22769
lorefpwr 1.06934 2.92236 2.34320
losigpwr -4.61914 -0.80566 -4.51343
hirefpwr 1.13281 2.90039 2.36242
hisigpwr -4.53125 4.99756 -1.62452
encltemp 31.98242 34.69238 32.57878
flags 0.00000 256.00000 2.28101
phi-lock -1.00342 0.09766 -0.47980
sindex 0.00000 252.00000 125.21474
time 0.00000 5829.99422 2911.12407
zeropt 0.00000 0.00488 0.00244
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 253 rows
There are 240 data rows and 13 calibrator rows
Calibrator rows: 19 40 61 82 103 124 145 166 187 208 229 250 252
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 20.00233 arcsec
Mean row spacing = 20.00234 arcsec (alternate estimator)
Mean tracking incline = -0.05308 arcsec
Mean pointing range = 0.59569 arcsec
Mean pointing rms = 0.10373 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (9.3, 9.7 ) 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 13000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 89986 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 89986 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 = 2419.38 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 = 2.59888 at (0.0, 0.0) arcsec
Real: mean = -8.26186e-05 sum of squares = 1668.37
Imag: mean = -0.00061375 sum of squares = 1807.47
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 = 2.57087 at (0.0, 0.0) arcsec
Real: mean = 1.00463e-05 sum of squares = 1696.51
Imag: mean = -0.000808569 sum of squares = 1798.8
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 = 2.57953 at (0.0, 0.0) arcsec
Real: mean = 0.000159749 sum of squares = 1755.07
Imag: mean = -0.000848558 sum of squares = 1755.78
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 = 2.58934 at (0.0, 0.0) arcsec
Real: mean = 0.000275278 sum of squares = 1839.1
Imag: mean = -0.000712219 sum of squares = 1706.04
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 = 2.61134 at (0.0, 0.0) arcsec
Real: mean = 0.000186725 sum of squares = 1770.03
Imag: mean = -0.00066696 sum of squares = 1815.86
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 = 2.61345 at (0.0, 0.0) arcsec
Real: mean = 0.000165932 sum of squares = 1734.52
Imag: mean = -0.000776069 sum of squares = 1871.29
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 = 2.61359 at (0.0, 0.0) arcsec
Real: mean = 0.00030747 sum of squares = 1746.91
Imag: mean = -0.000858291 sum of squares = 1878.65
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 = 2.63867 at (0.0, 0.0) arcsec
Real: mean = 0.000489934 sum of squares = 1880.72
Imag: mean = -0.000445554 sum of squares = 1788.46
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 = 2.6635 at (0.0, 0.0) arcsec
Real: mean = -5.38857e-05 sum of squares = 1901.93
Imag: mean = -0.000462397 sum of squares = 1813.37
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 = 2.66479 at (0.0, 0.0) arcsec
Real: mean = -3.44358e-05 sum of squares = 1862.17
Imag: mean = -0.000743607 sum of squares = 1878.91
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 = 2.65815 at (0.0, 0.0) arcsec
Real: mean = 0.000190261 sum of squares = 1825.65
Imag: mean = -0.000811357 sum of squares = 1939.81
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 = 2.66511 at (0.0, 0.0) arcsec
Real: mean = 0.000183051 sum of squares = 1870.47
Imag: mean = -0.000550412 sum of squares = 1945.06
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 = 2.68568 at (0.0, 0.0) arcsec
Real: mean = -2.99887e-05 sum of squares = 2004.34
Imag: mean = -0.000826995 sum of squares = 1862.49
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 = 2.68532 at (0.0, 0.0) arcsec
Real: mean = 0.00015232 sum of squares = 2011.33
Imag: mean = -0.000978262 sum of squares = 1881.66
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 = 2.69923 at (0.0, 0.0) arcsec
Real: mean = 0.000360677 sum of squares = 1967.5
Imag: mean = -0.000940111 sum of squares = 1949.79
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 = 2.73929 at (0.0, 0.0) arcsec
Real: mean = 0.000450198 sum of squares = 1904.67
Imag: mean = -0.000615705 sum of squares = 2061.29
Masking frequency index 0
Mask scale size = 6.0628
Masking frequency index 1
Mask scale size = 6.06287
Masking frequency index 2
Mask scale size = 6.06295
Masking frequency index 3
Mask scale size = 6.0631
Masking frequency index 4
Mask scale size = 6.06325
Masking frequency index 5
Mask scale size = 6.06332
Masking frequency index 6
Mask scale size = 6.0634
Masking frequency index 7
Mask scale size = 6.06355
Masking frequency index 8
Mask scale size = 6.0637
Masking frequency index 9
Mask scale size = 6.06378
Masking frequency index 10
Mask scale size = 6.06385
Masking frequency index 11
Mask scale size = 6.064
Masking frequency index 12
Mask scale size = 6.06415
Masking frequency index 13
Mask scale size = 6.06423
Masking frequency index 14
Mask scale size = 6.0643
Masking frequency index 15
Mask scale size = 6.06446
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.192871
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: 0.234375
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00732422
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 2.0168 117.97
Freq 1: Shift, scale = 1.5839 117.73
Freq 2: Shift, scale = 1.1529 117.33
Freq 3: Shift, scale = 0.3004 117.6
Freq 4: Shift, scale = -0.55686 119.39
Freq 5: Shift, scale = -0.99107 120.16
Freq 6: Shift, scale = -1.4277 120.46
Freq 7: Shift, scale = -2.2986 120.85
Freq 8: Shift, scale = 3.1174 120.54
Freq 9: Shift, scale = 2.6857 120.73
Freq 10: Shift, scale = 2.2583 120.56
Freq 11: Shift, scale = 1.4016 121.65
Freq 12: Shift, scale = 0.53481 122.98
Freq 13: Shift, scale = 0.10117 123.56
Freq 14: Shift, scale = -0.33266 123.96
Freq 15: Shift, scale = -1.1974 124.14
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: -0.183 radians
x offset: 0.0749 arcsec
y offset: 0.00617 arcsec
defocus: -0.00231 mm
Estimated x pointing error is 9.375 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.706 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.183 radians
x offset: 0.0667 arcsec
y offset: 0.00464 arcsec
defocus: -0.00207 mm
Estimated x pointing error is 9.367 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.705 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.182 radians
x offset: 0.0611 arcsec
y offset: 0.00329 arcsec
defocus: -0.00145 mm
Estimated x pointing error is 9.361 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.703 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.139 mm (used 3.14 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.171 radians
x offset: 0.0505 arcsec
y offset: -0.000543 arcsec
defocus: -0.00158 mm
Estimated x pointing error is 9.351 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.699 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.166 radians
x offset: 0.0413 arcsec
y offset: -0.00765 arcsec
defocus: -0.00247 mm
Estimated x pointing error is 9.341 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.692 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.168 radians
x offset: 0.0394 arcsec
y offset: -0.0101 arcsec
defocus: -0.00213 mm
Estimated x pointing error is 9.339 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.69 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.172 radians
x offset: 0.0436 arcsec
y offset: -0.0132 arcsec
defocus: -0.00205 mm
Estimated x pointing error is 9.344 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.687 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.18 radians
x offset: 0.0342 arcsec
y offset: -0.0101 arcsec
defocus: -0.00194 mm
Estimated x pointing error is 9.334 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.69 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.184 radians
x offset: 0.0175 arcsec
y offset: -0.00888 arcsec
defocus: -0.00174 mm
Estimated x pointing error is 9.318 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.691 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.138 mm (used 3.14 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.185 radians
x offset: 0.0135 arcsec
y offset: -0.0107 arcsec
defocus: -0.00253 mm
Estimated x pointing error is 9.313 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.689 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.137 mm (used 3.14 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.18 radians
x offset: 0.0124 arcsec
y offset: -0.0132 arcsec
defocus: -0.00288 mm
Estimated x pointing error is 9.312 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.687 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.137 mm (used 3.14 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.174 radians
x offset: 0.0084 arcsec
y offset: -0.0195 arcsec
defocus: -0.00432 mm
Estimated x pointing error is 9.308 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.681 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.136 mm (used 3.14 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.177 radians
x offset: 0.00654 arcsec
y offset: -0.0318 arcsec
defocus: -0.00442 mm
Estimated x pointing error is 9.307 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.668 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.136 mm (used 3.14 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.179 radians
x offset: 0.0115 arcsec
y offset: -0.0336 arcsec
defocus: -0.00497 mm
Estimated x pointing error is 9.312 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.666 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.135 mm (used 3.14 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.181 radians
x offset: 0.00914 arcsec
y offset: -0.0309 arcsec
defocus: -0.00581 mm
Estimated x pointing error is 9.309 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.669 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.134 mm (used 3.14 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.182 radians
x offset: -0.00272 arcsec
y offset: -0.0197 arcsec
defocus: -0.00648 mm
Estimated x pointing error is 9.297 arcsec (used 9.3 arcsec)
Estimated y pointing error is 9.68 arcsec (used 9.7 arcsec)
Estimated defocus error is 3.134 mm (used 3.14 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 0.00245 piston
1 1 -0.02737 tilt_x
1 -1 0.00205 tilt_y
2 2 0.01330 astigmatism_0
2 0 0.00835 curvature
2 -2 0.01141 astigmatism45
3 3 0.03835 trefoil_0
3 1 -0.08122 coma_x
3 -1 0.01507 coma_y
3 -3 -0.00750 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 0.00250 piston
1 1 -0.02756 tilt_x
1 -1 0.00203 tilt_y
2 2 0.01348 astigmatism_0
2 0 0.00851 curvature
2 -2 0.01139 astigmatism45
3 3 0.03813 trefoil_0
3 1 -0.08170 coma_x
3 -1 0.01504 coma_y
3 -3 -0.00772 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 0.00251 piston
1 1 -0.02748 tilt_x
1 -1 0.00214 tilt_y
2 2 0.01393 astigmatism_0
2 0 0.00855 curvature
2 -2 0.01085 astigmatism45
3 3 0.03696 trefoil_0
3 1 -0.08129 coma_x
3 -1 0.01499 coma_y
3 -3 -0.00765 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 0.00239 piston
1 1 -0.02672 tilt_x
1 -1 0.00216 tilt_y
2 2 0.01230 astigmatism_0
2 0 0.00842 curvature
2 -2 0.00989 astigmatism45
3 3 0.03584 trefoil_0
3 1 -0.08014 coma_x
3 -1 0.01467 coma_y
3 -3 -0.00676 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 0.00244 piston
1 1 -0.02706 tilt_x
1 -1 0.00169 tilt_y
2 2 0.01197 astigmatism_0
2 0 0.00866 curvature
2 -2 0.01063 astigmatism45
3 3 0.03561 trefoil_0
3 1 -0.08117 coma_x
3 -1 0.01337 coma_y
3 -3 -0.00602 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 0.00247 piston
1 1 -0.02735 tilt_x
1 -1 0.00184 tilt_y
2 2 0.01286 astigmatism_0
2 0 0.00865 curvature
2 -2 0.01112 astigmatism45
3 3 0.03562 trefoil_0
3 1 -0.08157 coma_x
3 -1 0.01397 coma_y
3 -3 -0.00735 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 0.00254 piston
1 1 -0.02761 tilt_x
1 -1 0.00190 tilt_y
2 2 0.01416 astigmatism_0
2 0 0.00862 curvature
2 -2 0.01233 astigmatism45
3 3 0.03574 trefoil_0
3 1 -0.08131 coma_x
3 -1 0.01462 coma_y
3 -3 -0.00872 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 0.00258 piston
1 1 -0.02783 tilt_x
1 -1 0.00219 tilt_y
2 2 0.01589 astigmatism_0
2 0 0.00863 curvature
2 -2 0.01243 astigmatism45
3 3 0.03595 trefoil_0
3 1 -0.08102 coma_x
3 -1 0.01558 coma_y
3 -3 -0.00973 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 0.00257 piston
1 1 -0.02784 tilt_x
1 -1 0.00267 tilt_y
2 2 0.01623 astigmatism_0
2 0 0.00866 curvature
2 -2 0.01088 astigmatism45
3 3 0.03563 trefoil_0
3 1 -0.08157 coma_x
3 -1 0.01663 coma_y
3 -3 -0.01053 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 0.00256 piston
1 1 -0.02754 tilt_x
1 -1 0.00278 tilt_y
2 2 0.01654 astigmatism_0
2 0 0.00852 curvature
2 -2 0.01062 astigmatism45
3 3 0.03470 trefoil_0
3 1 -0.08051 coma_x
3 -1 0.01667 coma_y
3 -3 -0.01034 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 0.00254 piston
1 1 -0.02759 tilt_x
1 -1 0.00276 tilt_y
2 2 0.01677 astigmatism_0
2 0 0.00848 curvature
2 -2 0.01097 astigmatism45
3 3 0.03432 trefoil_0
3 1 -0.08055 coma_x
3 -1 0.01657 coma_y
3 -3 -0.01009 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 0.00259 piston
1 1 -0.02815 tilt_x
1 -1 0.00264 tilt_y
2 2 0.01746 astigmatism_0
2 0 0.00864 curvature
2 -2 0.01221 astigmatism45
3 3 0.03392 trefoil_0
3 1 -0.08174 coma_x
3 -1 0.01639 coma_y
3 -3 -0.00943 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 0.00264 piston
1 1 -0.02881 tilt_x
1 -1 0.00308 tilt_y
2 2 0.01851 astigmatism_0
2 0 0.00873 curvature
2 -2 0.01245 astigmatism45
3 3 0.03480 trefoil_0
3 1 -0.08338 coma_x
3 -1 0.01811 coma_y
3 -3 -0.01152 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 0.00266 piston
1 1 -0.02868 tilt_x
1 -1 0.00301 tilt_y
2 2 0.01828 astigmatism_0
2 0 0.00864 curvature
2 -2 0.01345 astigmatism45
3 3 0.03607 trefoil_0
3 1 -0.08278 coma_x
3 -1 0.01866 coma_y
3 -3 -0.01234 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 0.00270 piston
1 1 -0.02868 tilt_x
1 -1 0.00274 tilt_y
2 2 0.01803 astigmatism_0
2 0 0.00866 curvature
2 -2 0.01421 astigmatism45
3 3 0.03660 trefoil_0
3 1 -0.08251 coma_x
3 -1 0.01851 coma_y
3 -3 -0.01210 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 0.00268 piston
1 1 -0.02829 tilt_x
1 -1 0.00277 tilt_y
2 2 0.01754 astigmatism_0
2 0 0.00868 curvature
2 -2 0.01180 astigmatism45
3 3 0.03595 trefoil_0
3 1 -0.08219 coma_x
3 -1 0.01780 coma_y
3 -3 -0.01082 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 21.7 20.2 24.2 20 22.9 29.5 24
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 21.4 20.1 24.1 20 22.8 28.6 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.53 4.36 5.33 5.16 3.76 2.89 6.84 4.97
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 21.8 20 23.7 20 22.9 29.6 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 21.5 19.9 23.7 20 22.8 28.7 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.54 4.39 5.36 5.18 3.78 2.89 6.87 4.99
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21.8 19.9 23.5 20 22.8 29.8 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.2 21.4 19.8 23.4 20 22.7 29 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.53 4.36 5.34 5.16 3.75 2.83 6.79 4.95
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 21.4 19.7 23.1 19.8 22.5 30.4 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21 19.7 23 19.9 22.4 29.6 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.49 4.3 5.26 5.07 3.67 2.71 6.63 4.84
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.5 19.8 23.5 19.7 22.6 30.8 24.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 21.1 19.7 23.5 19.7 22.5 29.9 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.52 4.34 5.31 5.12 3.7 2.7 6.66 4.88
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.6 19.9 23.5 19.6 22.9 30.5 24.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.2 19.9 23.6 19.6 22.7 29.6 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.53 4.37 5.34 5.16 3.73 2.75 6.73 4.92
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 21.6 20.1 23.3 19.7 23 29.9 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.2 20.1 23.4 19.7 22.9 29 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.53 4.36 5.33 5.16 3.75 2.82 6.78 4.94
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.7 20.4 23.2 20.1 23.1 29.3 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 21.3 20.3 23.3 20.1 23 28.4 23.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.52 4.36 5.33 5.16 3.77 2.89 6.83 4.97
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 21.8 19.4 23.6 19.9 23.1 29.8 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 21.4 19.3 23.6 20 22.9 28.9 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.55 4.4 5.38 5.2 3.79 2.87 6.85 4.99
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 21.5 19.5 24 19.9 22.9 30 24
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.1 21.2 19.3 24 19.9 22.7 29.2 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.52 4.34 5.31 5.13 3.74 2.83 6.75 4.93
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21.3 19.6 24.3 19.8 22.5 30.4 24
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.2 21 19.5 24.3 19.9 22.4 29.6 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.52 4.34 5.31 5.14 3.74 2.82 6.75 4.92
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.5 20 23.8 19.7 22.4 30.7 24.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21.1 19.9 23.7 19.8 22.2 29.9 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.55 4.4 5.38 5.21 3.79 2.85 6.82 4.99
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.5 20.1 23.8 19.7 22.8 30.2 24
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.9 21.1 20 23.7 19.8 22.7 29.3 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.61 4.5 5.51 5.34 3.9 2.96 7.02 5.12
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.6 20 23.5 19.9 23 29.8 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 21.2 19.9 23.5 19.9 22.9 28.8 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.6 4.48 5.48 5.31 3.9 3.04 7.07 5.14
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 21.7 20.1 23.2 20 23 29.6 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 21.3 20 23.1 20 22.9 28.5 23.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.59 4.46 5.46 5.3 3.9 3.06 7.07 5.13
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.9 20.2 22.4 20.1 23.1 29.9 23.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.9 21.5 20 22.4 20.1 22.9 28.9 23.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.57 4.44 5.43 5.26 3.85 2.95 6.96 5.06
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 21.8 20 18.4 20.8 18.6 21.3 28.3 22.3
Mean deviation is -0.28630332118811153 microns
Taper = 10 dB, Ruze illumination-weighted rms = 21.8 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 = 19.9 micron
Centre pixel: 128.0 128.0 Value = 13544.5 (estimate), 15686.5 (perfect)
Strehl = 0.745542
Strehl ratio estimate = 0.7455
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 = 19.3 micron
Centre pixel: 128.0 128.0 Value = 12041.8 (estimate), 15686.5 (perfect)
Strehl = 0.589297
Strehl ratio estimate = 0.5893
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 -15.3 -5.2 -4.0 16.6
2 1 2 -4.5 -6.7 6.6 10.4
3 1 3 -6.0 2.8 2.2 7.0
4 1 4 -6.4 2.4 15.1 16.6
5 1 5 -0.2 6.8 3.5 7.6
6 1 6 -5.4 4.3 -2.1 7.2
7 1 7 -6.0 1.3 -2.2 6.5
8 1 8 -9.4 -0.5 -4.5 10.4
9 1 9 -69.8 -8.3 -5.1 70.5
10 1 10 -9.9 -6.2 6.1 13.2
11 1 11 -6.2 -3.7 -11.6 13.7
12 1 12 1.3 -11.4 -5.5 12.7
13 2 1 -12.1 -2.8 -0.2 12.5
14 2 2 -10.0 -7.7 -0.4 12.6
15 2 3 -2.0 -7.1 0.3 7.3
16 2 4 -5.3 0.9 5.1 7.4
17 2 5 1.9 5.8 9.7 11.5
18 2 6 2.8 20.5 16.7 26.5
19 2 7 4.0 16.0 32.5 36.5
20 2 8 27.8 33.1 14.5 45.6
21 2 9 5.6 5.4 -1.9 8.0
22 2 10 6.7 4.7 -4.5 9.3
23 2 11 3.1 -11.0 -12.8 17.2
24 2 12 -1.7 -3.9 -10.2 11.0
25 2 13 -4.3 -9.3 -8.1 13.1
26 2 14 -2.5 -9.7 -6.2 11.8
27 2 15 0.9 -11.4 -9.8 15.1
28 2 16 2.7 -6.9 -4.0 8.4
29 2 17 1.9 1.8 8.2 8.6
30 2 18 -9.3 4.5 -5.0 11.5
31 2 19 -4.9 4.7 -1.7 7.0
32 2 20 -2.0 9.2 12.4 15.6
33 2 21 -2.4 1.4 -1.6 3.2
34 2 22 -2.2 -0.1 -1.7 2.8
35 2 23 -5.4 -6.1 -6.7 10.6
36 2 24 -11.9 -19.0 -2.4 22.5
37 3 1 -0.5 5.3 0.3 5.3
38 3 2 0.1 -0.9 -2.7 2.9
39 3 3 0.7 -2.3 -2.7 3.6
40 3 4 5.1 6.0 -4.5 9.0
41 3 5 -0.5 5.3 9.3 10.8
42 3 6 2.0 7.6 5.6 9.6
43 3 7 7.1 5.0 11.6 14.5
44 3 8 4.8 9.4 14.1 17.6
45 3 9 7.6 12.0 17.3 22.4
46 3 10 9.3 17.4 16.8 25.9
47 3 11 21.7 12.2 25.7 35.8
48 3 12 13.5 14.2 24.1 31.1
49 3 13 7.1 13.4 16.6 22.5
50 3 14 15.4 9.0 3.2 18.1
51 3 15 3.5 6.8 16.5 18.2
52 3 16 3.5 5.6 5.2 8.4
53 3 17 -0.9 2.6 -5.7 6.3
54 3 18 -1.3 -3.2 -3.4 4.8
55 3 19 -10.1 -1.8 2.4 10.5
56 3 20 2.4 -2.8 -4.4 5.8
57 3 21 -7.3 -5.2 -9.4 13.0
58 3 22 -5.0 -5.5 -8.8 11.5
59 3 23 -9.2 -5.0 -3.5 11.0
60 3 24 -3.4 -3.4 4.6 6.6
61 3 25 -8.4 -0.6 4.4 9.6
62 3 26 -11.5 -6.9 -8.3 15.8
63 3 27 -7.0 -6.5 -5.5 11.0
64 3 28 -3.3 -6.8 -10.5 12.9
65 3 29 -3.3 -2.2 -9.1 9.9
66 3 30 -7.2 -21.4 -7.8 23.9
67 3 31 -1.7 -3.9 -15.8 16.3
68 3 32 1.8 0.8 -15.8 15.9
69 3 33 9.1 -0.7 2.7 9.5
70 3 34 5.6 3.3 8.3 10.5
71 3 35 2.5 -1.4 6.9 7.5
72 3 36 -3.9 7.5 -0.5 8.5
73 3 37 2.9 8.7 2.1 9.4
74 3 38 4.1 12.7 11.0 17.3
75 3 39 3.6 17.8 -0.7 18.2
76 3 40 8.2 2.1 -1.6 8.6
77 3 41 -6.4 0.2 -9.1 11.2
78 3 42 -5.8 2.3 2.6 6.8
79 3 43 -8.7 -0.2 10.5 13.6
80 3 44 -1.2 4.9 5.1 7.2
81 3 45 3.8 4.4 -3.7 6.9
82 3 46 1.9 -2.8 -0.8 3.5
83 3 47 3.4 0.3 -0.3 3.4
84 3 48 -3.6 -10.7 10.1 15.1
85 4 1 -8.4 -4.6 -2.9 10.0
86 4 2 -12.1 -2.7 -7.7 14.6
87 4 3 -0.4 -4.9 -3.9 6.3
88 4 4 -3.5 -2.6 -0.6 4.5
89 4 5 0.1 -4.7 -2.6 5.4
90 4 6 -3.6 3.7 -3.6 6.3
91 4 7 11.1 -0.6 0.1 11.2
92 4 8 8.5 9.6 4.4 13.5
93 4 9 13.4 8.9 13.5 21.0
94 4 10 18.3 16.4 7.0 25.5
95 4 11 20.8 13.6 22.4 33.4
96 4 12 29.8 6.4 22.0 37.6
97 4 13 18.1 10.3 4.4 21.3
98 4 14 15.7 9.4 7.7 19.8
99 4 15 8.7 11.1 -2.1 14.3
100 4 16 8.9 -0.0 4.4 9.9
101 4 17 -0.1 -3.2 0.8 3.3
102 4 18 -6.6 0.7 9.0 11.2
103 4 19 -4.5 -0.8 4.3 6.3
104 4 20 -1.7 -1.8 -3.3 4.1
105 4 21 -7.1 -2.7 -2.2 7.9
106 4 22 0.5 -6.1 83.4 83.6
107 4 23 -4.4 1.6 2.8 5.5
108 4 24 -2.4 -4.0 1.6 4.9
109 4 25 -7.6 -1.8 25.6 26.7
110 4 26 -5.7 -4.3 -2.1 7.4
111 4 27 -8.3 -2.3 1.0 8.7
112 4 28 -4.8 -3.4 -7.6 9.6
113 4 29 -1.9 -2.3 -67.0 67.1
114 4 30 -12.4 -9.3 1.4 15.6
115 4 31 -13.6 -3.4 -6.8 15.6
116 4 32 -3.8 -7.7 -2.9 9.0
117 4 33 0.5 -4.1 -11.2 11.9
118 4 34 -1.1 8.4 -8.5 12.0
119 4 35 1.3 4.8 11.6 12.6
120 4 36 0.4 6.2 11.3 12.8
121 4 37 5.3 6.3 12.4 14.8
122 4 38 8.3 20.7 8.8 23.9
123 4 39 1.2 1.7 -3.2 3.9
124 4 40 -1.8 7.0 -2.9 7.7
125 4 41 -2.6 7.2 5.0 9.1
126 4 42 7.9 5.4 -4.1 10.5
127 4 43 1.9 -1.6 -5.1 5.6
128 4 44 -8.9 -3.0 -5.2 10.7
129 4 45 -2.1 -3.1 -3.7 5.2
130 4 46 -11.6 -5.9 -1.3 13.1
131 4 47 -6.4 -4.8 -9.1 12.1
132 4 48 -9.1 -7.2 -4.7 12.5
133 5 1 -3.3 -12.9 1.4 13.4
134 5 2 -12.1 -3.5 -1.6 12.7
135 5 3 -2.1 -5.0 3.8 6.7
136 5 4 -9.2 -3.9 3.4 10.6
137 5 5 1.9 -5.9 1.5 6.4
138 5 6 -4.7 -7.2 1.9 8.8
139 5 7 3.5 -3.5 -10.1 11.3
140 5 8 3.1 1.7 -2.7 4.5
141 5 9 11.4 5.6 1.0 12.8
142 5 10 15.8 6.1 5.2 17.7
143 5 11 17.1 2.9 7.5 18.9
144 5 12 13.3 1.3 9.1 16.2
145 5 13 8.3 7.2 4.1 11.7
146 5 14 13.4 1.2 2.9 13.7
147 5 15 4.5 0.7 1.9 5.0
148 5 16 -1.2 1.4 -2.8 3.3
149 5 17 4.1 -0.3 0.1 4.1
150 5 18 2.9 4.6 133.6 133.8
151 5 19 -1.7 3.6 9.8 10.5
152 5 20 3.1 2.6 2.8 4.9
153 5 21 10.6 -0.3 -16.8 19.8
154 5 22 -2.4 0.7 -9.2 9.6
155 5 23 0.1 1.4 -5.7 5.9
156 5 24 2.0 7.2 0.8 7.5
157 5 25 5.8 3.3 2.9 7.3
158 5 26 -2.6 0.7 3.7 4.6
159 5 27 2.5 1.7 -0.7 3.1
160 5 28 6.8 0.8 -1.9 7.1
161 5 29 3.1 2.7 6.4 7.6
162 5 30 -11.3 -4.1 15.5 19.6
163 5 31 -11.8 -3.5 -6.6 14.0
164 5 32 -10.0 -6.0 -6.3 13.3
165 5 33 -2.6 -5.0 0.4 5.7
166 5 34 -3.1 3.9 2.0 5.4
167 5 35 7.1 1.5 5.8 9.3
168 5 36 4.5 13.6 -2.6 14.6
169 5 37 6.1 9.2 4.1 11.8
170 5 38 -1.4 9.6 -0.9 9.7
171 5 39 3.8 -4.2 16.2 17.1
172 5 40 8.2 1.7 -4.4 9.4
173 5 41 0.7 -1.8 -6.8 7.0
174 5 42 -8.6 0.5 -15.3 17.5
175 5 43 -0.2 -2.0 -1.8 2.7
176 5 44 -5.2 2.5 -4.3 7.2
177 5 45 -7.3 -6.5 7.5 12.4
178 5 46 -7.7 -1.7 10.9 13.5
179 5 47 -8.5 6.0 15.7 18.8
180 5 48 -8.5 2.0 13.0 15.6
181 6 1 -3.2 -0.9 -7.4 8.1
182 6 2 -3.7 -4.7 -7.1 9.3
183 6 3 -6.9 -4.0 -5.6 9.8
184 6 4 0.5 -3.3 -8.8 9.4
185 6 5 2.7 1.1 3.1 4.2
186 6 6 -1.3 0.1 13.9 14.0
187 6 7 -13.5 -0.0 -2.9 13.8
188 6 8 -0.0 -8.4 -9.2 12.4
189 6 9 -4.5 -7.0 -4.3 9.4
190 6 10 8.1 -0.5 -2.0 8.3
191 6 11 0.5 -1.0 -1.7 2.1
192 6 12 7.9 3.2 -0.8 8.6
193 6 13 18.8 -1.7 1.2 18.9
194 6 14 9.2 -2.5 3.1 10.0
195 6 15 4.3 -0.0 -7.1 8.3
196 6 16 19.1 -3.7 -2.5 19.7
197 6 17 0.6 -1.6 4.1 4.5
198 6 18 11.2 1.1 -61.5 62.6
199 6 19 0.1 -4.2 -20.4 20.8
200 6 20 -8.8 -6.0 -3.3 11.2
201 6 21 -6.7 -4.7 -5.3 9.7
202 6 22 -6.6 -2.0 -13.8 15.4
203 6 23 -3.7 -11.5 -12.1 17.1
204 6 24 -4.6 -2.9 -13.5 14.6
205 6 25 5.2 -1.2 5.1 7.4
206 6 26 1.9 5.1 1.2 5.6
207 6 27 11.8 5.5 10.9 17.0
208 6 28 11.5 -0.1 0.9 11.5
209 6 29 9.1 14.7 6.1 18.4
210 6 30 -5.9 0.6 49.4 49.7
211 6 31 5.4 -1.5 3.7 6.7
212 6 32 -3.6 -2.6 15.6 16.2
213 6 33 -9.4 -1.0 -12.5 15.7
214 6 34 4.2 3.5 -4.6 7.1
215 6 35 -3.5 8.2 -1.4 9.0
216 6 36 -1.9 58.6 -13.3 60.1
217 6 37 -1.9 12.7 4.3 13.6
218 6 38 2.7 -5.2 3.1 6.6
219 6 39 -2.6 7.1 0.5 7.6
220 6 40 6.8 -6.4 -5.7 11.0
221 6 41 -6.3 -4.3 4.8 9.0
222 6 42 -10.8 8.6 2.9 14.1
223 6 43 6.8 5.0 25.1 26.4
224 6 44 6.9 11.5 16.2 21.0
225 6 45 4.1 3.4 6.0 8.1
226 6 46 -2.9 5.7 9.7 11.7
227 6 47 -0.0 -0.4 2.5 2.6
228 6 48 5.0 1.6 3.8 6.5
229 7 1 -17.2 -11.7 -13.0 24.6
230 7 2 -9.8 -16.6 -11.3 22.3
231 7 3 -6.5 -20.5 -18.1 28.1
232 7 4 -10.8 -16.0 -27.7 33.7
233 7 5 11.1 -9.8 -7.2 16.4
234 7 6 4.4 -1.3 -20.4 20.9
235 7 7 2.0 -0.4 -20.7 20.8
236 7 8 -3.5 -23.2 -57.9 62.5
237 7 9 -11.7 -18.9 -33.4 40.2
238 7 10 -11.0 -14.3 -37.1 41.2
239 7 11 -7.8 -11.8 -21.5 25.8
240 7 12 -9.4 -2.2 -23.2 25.1
241 7 13 -1.0 -7.6 -6.7 10.2
242 7 14 -0.6 0.1 -11.7 11.7
243 7 15 -3.8 -2.9 -5.5 7.3
244 7 16 -7.9 -4.6 -17.0 19.3
245 7 17 3.8 -1.2 -15.4 15.9
246 7 18 -3.5 6.3 -12.9 14.8
247 7 19 -6.5 -3.8 -20.6 21.9
248 7 20 -1.8 -7.5 -22.6 23.9
249 7 21 -21.1 -14.2 -11.5 27.9
250 7 22 -17.7 10.4 -6.7 21.5
251 7 23 -5.8 -5.7 -6.1 10.2
252 7 24 -8.8 14.3 1.2 16.8
253 7 25 19.2 9.1 7.5 22.5
254 7 26 2.7 11.9 16.4 20.5
255 7 27 -5.0 13.6 8.6 16.8
256 7 28 -0.2 1.7 273.7 273.7
257 7 29 13.2 -22.0 -6.1 26.4
258 7 30 7.1 -0.6 -6.9 9.9
259 7 31 -0.8 6.9 13.6 15.3
260 7 32 -0.2 -13.4 2.1 13.5
261 7 33 -3.3 5.0 0.0 6.0
262 7 34 -6.1 1.3 -0.8 6.3
263 7 35 4.4 -2.0 -4.2 6.5
264 7 36 -11.5 4.8 -14.7 19.3
265 7 37 8.4 9.5 -7.3 14.6
266 7 38 -7.4 29.0 -9.9 31.5
267 7 39 -17.3 17.3 -33.7 41.6
268 7 40 -9.7 6.3 -10.7 15.7
269 7 41 14.4 1.1 8.8 16.9
270 7 42 14.0 32.6 15.6 38.8
271 7 43 15.1 28.7 24.6 40.7
272 7 44 24.6 8.0 19.2 32.2
273 7 45 4.8 8.0 -9.4 13.2
274 7 46 3.2 -6.3 -12.7 14.5
275 7 47 -13.3 1.4 -1.6 13.5
276 7 48 -18.4 143.8 -6.3 145.1
Creating sector-motor-move file
sector motor steps
1 1 -8
1 2 -4
1 3 -3
1 4 -2
1 5 -1
1 6 0
1 7 -5
1 8 -6
1 9 -1
1 10 -1
1 11 -1
1 12 -2
1 13 -3
1 14 -5
1 15 -3
1 16 -2
1 17 -1
1 18 -1
1 19 -3
1 20 -3
1 21 -5
1 22 -2
1 23 0
1 24 0
1 25 1
1 26 -1
1 27 -2
1 28 0
1 29 0
1 30 -1
1 31 1
1 32 -1
1 33 0
1 34 -1
1 35 -1
1 36 0
1 37 0
1 38 -1
1 39 -3
1 40 -2
1 41 0
1 42 -3
1 43 0
1 44 -3
1 45 -1
1 46 0
1 47 -1
1 48 -2
1 49 0
1 50 0
1 51 0
1 52 0
1 53 -2
1 54 -3
1 55 0
1 56 0
1 57 0
1 58 -1
1 59 -4
1 60 -1
1 61 0
1 62 1
1 63 0
1 64 -2
1 65 -3
1 66 0
1 67 -1
1 68 1
1 69 1
2 1 -17
2 2 -7
2 3 -1
2 4 -2
2 5 -2
2 6 0
2 7 -6
2 8 0
2 9 0
2 10 0
2 11 0
2 12 -4
2 13 -6
2 14 0
2 15 1
2 16 4
2 17 0
2 18 0
2 19 -2
2 20 -2
2 21 3
2 22 0
2 23 0
2 24 0
2 25 0
2 26 0
2 27 0
2 28 1
2 29 2
2 30 2
2 31 -3
2 32 -1
2 33 1
2 34 0
2 35 0
2 36 3
2 37 0
2 38 -2
2 39 -1
2 40 -1
2 41 1
2 42 -1
2 43 0
2 44 -1
2 45 0
2 46 0
2 47 -1
2 48 0
2 49 3
2 50 1
2 51 2
2 52 1
2 53 0
2 54 -1
2 55 1
2 56 2
2 57 0
2 58 -2
2 59 -1
2 60 2
2 61 2
2 62 1
2 63 0
2 64 1
2 65 0
2 66 0
2 67 4
2 68 2
2 69 1
3 1 -7
3 2 0
3 3 -2
3 4 0
3 5 0
3 6 2
3 7 -6
3 8 -3
3 9 -2
3 10 0
3 11 0
3 12 0
3 13 -11
3 14 -4
3 15 -3
3 16 0
3 17 0
3 18 2
3 19 -10
3 20 -5
3 21 -3
3 22 -1
3 23 -2
3 24 -1
3 25 2
3 26 0
3 27 4
3 28 6
3 29 1
3 30 9
3 31 2
3 32 0
3 33 5
3 34 6
3 35 4
3 36 6
3 37 1
3 38 1
3 39 4
3 40 2
3 41 5
3 42 5
3 43 0
3 44 1
3 45 3
3 46 4
3 47 2
3 48 4
3 49 7
3 50 3
3 51 6
3 52 5
3 53 6
3 54 0
3 55 5
3 56 5
3 57 2
3 58 0
3 59 -1
3 60 0
3 61 5
3 62 3
3 63 2
3 64 4
3 65 0
3 66 2
3 67 7
3 68 4
3 69 4
4 1 -5
4 2 -1
4 3 -2
4 4 0
4 5 -1
4 6 5
4 7 -1
4 8 0
4 9 -1
4 10 -2
4 11 0
4 12 1
4 13 -3
4 14 0
4 15 0
4 16 0
4 17 0
4 18 2
4 19 -2
4 20 -2
4 21 0
4 22 0
4 23 0
4 24 5
4 25 0
4 26 0
4 27 0
4 28 1
4 29 0
4 30 2
4 31 0
4 32 0
4 33 1
4 34 0
4 35 3
4 36 2
4 37 0
4 38 0
4 39 4
4 40 2
4 41 2
4 42 4
4 43 1
4 44 2
4 45 2
4 46 1
4 47 3
4 48 5
4 49 5
4 50 2
4 51 1
4 52 4
4 53 10
4 54 8
4 55 0
4 56 2
4 57 4
4 58 0
4 59 -1
4 60 4
4 61 5
4 62 4
4 63 2
4 64 1
4 65 1
4 66 9
4 67 1
4 68 1
4 69 1
5 1 -6
5 2 -2
5 3 0
5 4 -1
5 5 -1
5 6 -2
5 7 -6
5 8 -1
5 9 -2
5 10 -6
5 11 -1
5 12 0
5 13 -3
5 14 1
5 15 -1
5 16 -18
5 17 0
5 18 3
5 19 -4
5 20 0
5 21 1
5 22 1
5 23 0
5 24 0
5 25 0
5 26 0
5 27 0
5 28 -1
5 29 0
5 30 0
5 31 2
5 32 1
5 33 0
5 34 1
5 35 0
5 36 -1
5 37 40
5 38 1
5 39 0
5 40 2
5 41 0
5 42 -2
5 43 0
5 44 0
5 45 1
5 46 0
5 47 0
5 48 0
5 49 0
5 50 0
5 51 -3
5 52 -1
5 53 1
5 54 2
5 55 -1
5 56 0
5 57 0
5 58 2
5 59 0
5 60 1
5 61 -1
5 62 0
5 63 0
5 64 -3
5 65 1
5 66 0
5 67 -1
5 68 0
5 69 0
6 1 0
6 2 4
6 3 -2
6 4 -4
6 5 0
6 6 -1
6 7 -1
6 8 -1
6 9 -1
6 10 -3
6 11 -3
6 12 -1
6 13 -2
6 14 3
6 15 -5
6 16 -4
6 17 0
6 18 -2
6 19 -3
6 20 -4
6 21 -6
6 22 -1
6 23 -1
6 24 -2
6 25 0
6 26 2
6 27 0
6 28 0
6 29 -1
6 30 0
6 31 -1
6 32 0
6 33 0
6 34 0
6 35 0
6 36 -1
6 37 -2
6 38 0
6 39 0
6 40 25
6 41 -1
6 42 0
6 43 -5
6 44 0
6 45 3
6 46 0
6 47 0
6 48 -2
6 49 -1
6 50 -1
6 51 -2
6 52 -3
6 53 -1
6 54 0
6 55 -2
6 56 -1
6 57 -1
6 58 1
6 59 -1
6 60 0
6 61 -2
6 62 -1
6 63 -2
6 64 -2
6 65 0
6 66 -3
6 67 1
6 68 -1
6 69 -1
7 1 83
7 2 0
7 3 0
7 4 0
7 5 0
7 6 3
7 7 2
7 8 4
7 9 -1
7 10 3
7 11 1
7 12 3
7 13 5
7 14 3
7 15 0
7 16 0
7 17 1
7 18 0
7 19 2
7 20 2
7 21 5
7 22 1
7 23 0
7 24 1
7 25 0
7 26 0
7 27 2
7 28 -2
7 29 -1
7 30 -1
7 31 0
7 32 0
7 33 0
7 34 0
7 35 0
7 36 -2
7 37 1
7 38 0
7 39 0
7 40 0
7 41 -1
7 42 -1
7 43 0
7 44 1
7 45 1
7 46 7
7 47 0
7 48 -2
7 49 -1
7 50 -1
7 51 -2
7 52 -1
7 53 -2
7 54 0
7 55 -2
7 56 -2
7 57 -3
7 58 0
7 59 -1
7 60 0
7 61 1
7 62 0
7 63 -2
7 64 -3
7 65 -1
7 66 -2
7 67 -3
7 68 -2
7 69 -1
8 1 0
8 2 -4
8 3 0
8 4 4
8 5 0
8 6 -1
8 7 4
8 8 2
8 9 0
8 10 1
8 11 0
8 12 1
8 13 -2
8 14 0
8 15 2
8 16 15
8 17 0
8 18 -1
8 19 -1
8 20 -6
8 21 4
8 22 1
8 23 4
8 24 2
8 25 -1
8 26 -1
8 27 -3
8 28 0
8 29 -2
8 30 -1
8 31 -2
8 32 -1
8 33 -3
8 34 -2
8 35 -1
8 36 -4
8 37 4
8 38 -1
8 39 -3
8 40 0
8 41 -2
8 42 -3
8 43 1
8 44 0
8 45 0
8 46 -20
8 47 0
8 48 0
8 49 -4
8 50 -1
8 51 0
8 52 -1
8 53 -2
8 54 0
8 55 -2
8 56 -6
8 57 -2
8 58 0
8 59 -2
8 60 -1
8 61 -2
8 62 0
8 63 -1
8 64 0
8 65 0
8 66 -3
8 67 -4
8 68 0
8 69 0
9 1 -4
9 2 1
9 3 -3
9 4 -4
9 5 17
9 6 0
9 7 -1
9 8 0
9 9 1
9 10 0
9 11 2
9 12 -1
9 13 0
9 14 0
9 15 -1
9 16 -1
9 17 1
9 18 1
9 19 0
9 20 1
9 21 -1
9 22 -3
9 23 0
9 24 -2
9 25 0
9 26 4
9 27 1
9 28 3
9 29 1
9 30 0
9 31 1
9 32 0
9 33 2
9 34 3
9 35 1
9 36 0
9 37 0
9 38 1
9 39 0
9 40 -2
9 41 2
9 42 0
9 43 0
9 44 -1
9 45 0
9 46 -3
9 47 -1
9 48 0
9 49 2
9 50 0
9 51 0
9 52 -1
9 53 1
9 54 -2
9 55 2
9 56 1
9 57 1
9 58 -2
9 59 -21
9 60 -1
9 61 0
9 62 0
9 63 2
9 64 1
9 65 0
9 66 2
9 67 0
9 68 2
9 69 -1
10 1 -3
10 2 1
10 3 -2
10 4 -1
10 5 -1
10 6 2
10 7 -10
10 8 5
10 9 -5
10 10 0
10 11 2
10 12 0
10 13 -3
10 14 8
10 15 -2
10 16 0
10 17 -1
10 18 0
10 19 -2
10 20 2
10 21 2
10 22 1
10 23 3
10 24 0
10 25 -1
10 26 0
10 27 2
10 28 0
10 29 2
10 30 0
10 31 4
10 32 -1
10 33 1
10 34 0
10 35 0
10 36 0
10 37 0
10 38 2
10 39 0
10 40 2
10 41 6
10 42 2
10 43 1
10 44 2
10 45 1
10 46 3
10 47 1
10 48 1
10 49 0
10 50 5
10 51 1
10 52 3
10 53 2
10 54 0
10 55 3
10 56 3
10 57 1
10 58 -1
10 59 -3
10 60 1
10 61 0
10 62 2
10 63 0
10 64 0
10 65 -1
10 66 0
10 67 0
10 68 0
10 69 2
11 1 5
11 2 2
11 3 7
11 4 4
11 5 3
11 6 2
11 7 7
11 8 8
11 9 4
11 10 7
11 11 1
11 12 2
11 13 4
11 14 10
11 15 4
11 16 0
11 17 2
11 18 -3
11 19 2
11 20 0
11 21 4
11 22 1
11 23 -1
11 24 -1
11 25 -1
11 26 0
11 27 -1
11 28 -1
11 29 0
11 30 -2
11 31 0
11 32 0
11 33 0
11 34 -1
11 35 0
11 36 0
11 37 -4
11 38 0
11 39 -2
11 40 -1
11 41 1
11 42 2
11 43 -2
11 44 0
11 45 0
11 46 1
11 47 2
11 48 0
11 49 3
11 50 0
11 51 -2
11 52 0
11 53 0
11 54 0
11 55 0
11 56 0
11 57 -1
11 58 -1
11 59 -1
11 60 -3
11 61 -2
11 62 0
11 63 -1
11 64 -1
11 65 0
11 66 0
11 67 1
11 68 1
11 69 0
12 1 -1
12 2 44
12 3 -5
12 4 1
12 5 0
12 6 1
12 7 0
12 8 0
12 9 -4
12 10 0
12 11 0
12 12 0
12 13 -3
12 14 -1
12 15 0
12 16 2
12 17 1
12 18 0
12 19 -2
12 20 2
12 21 1
12 22 1
12 23 1
12 24 1
12 25 3
12 26 0
12 27 -2
12 28 -1
12 29 -2
12 30 -2
12 31 4
12 32 1
12 33 -2
12 34 -2
12 35 -1
12 36 -1
12 37 3
12 38 0
12 39 -2
12 40 0
12 41 -1
12 42 -3
12 43 2
12 44 -2
12 45 -2
12 46 -1
12 47 0
12 48 0
12 49 0
12 50 0
12 51 1
12 52 0
12 53 -5
12 54 -3
12 55 0
12 56 0
12 57 0
12 58 -3
12 59 0
12 60 -1
12 61 -1
12 62 1
12 63 1
12 64 0
12 65 -1
12 66 -2
12 67 3
12 68 -3
12 69 -1
Adjuster movements: rms = 15.9 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20071016-131838
Creating HTML output file of plots
Plotting summary text