![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20050919-004954.fits
Reduced on 20050919-111928 by janw on moana.jach.hawaii.edu
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050919-004954.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 4.1 |
| data.pointing_offset_y | 11.2 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.92 |
| 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 | 0.033920000000000006 |
| 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: 20050919-111928
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050919-004954.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 = 2401.9 max = 2431.6 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.920 mm
----------------- Data Summary ---------------------
Number of samples: 370025
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.338000 80.340000 80.342000 80.344000 80.346000 80.348000
80.350000 80.352000 80.354000 80.356000 80.358000 80.360000
80.362000 80.364000 80.366000 80.368000
item min max mean
loreal -2.99316 2.96631 -0.01653
loimag -3.07129 3.02490 0.00298
hireal -5.00000 4.99756 -0.22115
hiimag -5.00000 4.99756 -0.09558
xpos -2431.63901 2417.65091 -8.92696
ypos -2401.91226 2402.46307 -0.00438
plock160 0.61523 2.09229 1.42475
lorefpwr -0.14160 1.62109 1.05031
losigpwr -4.56543 -0.45898 -4.26325
hirefpwr -0.05859 1.66016 1.11208
hisigpwr -4.47510 4.99756 -1.34725
encltemp -1.34277 1.63574 -0.79713
flags 0.00000 256.00000 2.76738
phi-lock -1.63330 -0.25635 -0.98978
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.00603 1473.09964
zeropt -0.00244 0.00000 -0.00088
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
!!!Warning!!! encltemp min less than 28
!!!Warning!!! encltemp max less than 28
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00569 arcsec
Mean row spacing = 40.00569 arcsec (alternate estimator)
Mean tracking incline = 0.03397 arcsec
Mean pointing range = 0.63801 arcsec
Mean pointing rms = 0.11497 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (4.1, 11.2 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22677 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2431.64 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373025
scale = 0.00129968
Diffraction scale lambda/D = 51.3137 arcsec
Gridding function extent = 307.882 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.941 arcsec
Airy first null at 62.5858 arcsec
Gridding frequency index 0
lambda = 0.00373164 metres, scale = 0.0012992 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 = 2.78058 at (0.0, 0.0) arcsec
Real: mean = 0.00096216 sum of squares = 900.088
Imag: mean = -0.0022163 sum of squares = 889.443
Gridding frequency index 1
lambda = 0.00373155 metres, scale = 0.00129923 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 = 2.79741 at (0.0, 0.0) arcsec
Real: mean = 0.00116284 sum of squares = 831.74
Imag: mean = -0.00270904 sum of squares = 963.478
Gridding frequency index 2
lambda = 0.00373145 metres, scale = 0.00129926 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 = 2.83302 at (0.0, 0.0) arcsec
Real: mean = 0.00161407 sum of squares = 807.022
Imag: mean = -0.00296538 sum of squares = 991.166
Gridding frequency index 3
lambda = 0.00373136 metres, scale = 0.00129929 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 = 2.86609 at (0.0, 0.0) arcsec
Real: mean = 0.00216353 sum of squares = 847.51
Imag: mean = -0.00308069 sum of squares = 956.777
Gridding frequency index 4
lambda = 0.00373127 metres, scale = 0.00129933 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 = 2.92024 at (0.0, 0.0) arcsec
Real: mean = 0.00262897 sum of squares = 929.841
Imag: mean = -0.00283132 sum of squares = 878.033
Gridding frequency index 5
lambda = 0.00373118 metres, scale = 0.00129936 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 = 2.97823 at (0.0, 0.0) arcsec
Real: mean = 0.00273724 sum of squares = 995.142
Imag: mean = -0.00265814 sum of squares = 821.238
Gridding frequency index 6
lambda = 0.00373108 metres, scale = 0.00129939 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 = 2.99669 at (0.0, 0.0) arcsec
Real: mean = 0.0031825 sum of squares = 998.712
Imag: mean = -0.00259254 sum of squares = 823.927
Gridding frequency index 7
lambda = 0.00373099 metres, scale = 0.00129942 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 = 2.99581 at (0.0, 0.0) arcsec
Real: mean = 0.00359342 sum of squares = 935.668
Imag: mean = -0.00217923 sum of squares = 894.581
Gridding frequency index 8
lambda = 0.0037309 metres, scale = 0.00129946 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 = 2.99574 at (0.0, 0.0) arcsec
Real: mean = 0.00346897 sum of squares = 858.23
Imag: mean = -0.001459 sum of squares = 978.866
Gridding frequency index 9
lambda = 0.0037308 metres, scale = 0.00129949 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 = 2.95885 at (0.0, 0.0) arcsec
Real: mean = 0.00286221 sum of squares = 824.91
Imag: mean = -0.000974558 sum of squares = 1017.98
Gridding frequency index 10
lambda = 0.00373071 metres, scale = 0.00129952 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 2.92822 at (0.0, 0.0) arcsec
Real: mean = 0.002453 sum of squares = 865.271
Imag: mean = -0.000948969 sum of squares = 984.558
Gridding frequency index 11
lambda = 0.00373062 metres, scale = 0.00129955 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 2.88025 at (0.0, 0.0) arcsec
Real: mean = 0.00209335 sum of squares = 947.38
Imag: mean = -0.00105477 sum of squares = 907.42
Gridding frequency index 12
lambda = 0.00373053 metres, scale = 0.00129959 radians per metre
Gridding real part of frequency 12...
Gridding imag part of frequency 12...
Pattern is holo(res.pattern12)
Weights in holo(obs.real,wt12) and holo(obs.imag,wt12)
Maximum amplitude = 2.87104 at (0.0, 0.0) arcsec
Real: mean = 0.00179088 sum of squares = 1016.35
Imag: mean = -0.00134466 sum of squares = 845.254
Gridding frequency index 13
lambda = 0.00373043 metres, scale = 0.00129962 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 = 2.85797 at (0.0, 0.0) arcsec
Real: mean = 0.00170719 sum of squares = 1023.38
Imag: mean = -0.00154541 sum of squares = 845.687
Gridding frequency index 14
lambda = 0.00373034 metres, scale = 0.00129965 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 = 2.86515 at (0.0, 0.0) arcsec
Real: mean = 0.00152477 sum of squares = 971.52
Imag: mean = -0.00183202 sum of squares = 904.859
Gridding frequency index 15
lambda = 0.00373025 metres, scale = 0.00129968 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 = 2.86611 at (0.0, 0.0) arcsec
Real: mean = 0.00158136 sum of squares = 893.775
Imag: mean = -0.00234575 sum of squares = 988.47
Masking frequency index 0
Mask scale size = 3.05815
Masking frequency index 1
Mask scale size = 3.05822
Masking frequency index 2
Mask scale size = 3.0583
Masking frequency index 3
Mask scale size = 3.05838
Masking frequency index 4
Mask scale size = 3.05845
Masking frequency index 5
Mask scale size = 3.05853
Masking frequency index 6
Mask scale size = 3.0586
Masking frequency index 7
Mask scale size = 3.05868
Masking frequency index 8
Mask scale size = 3.05876
Masking frequency index 9
Mask scale size = 3.05883
Masking frequency index 10
Mask scale size = 3.05891
Masking frequency index 11
Mask scale size = 3.05898
Masking frequency index 12
Mask scale size = 3.05906
Masking frequency index 13
Mask scale size = 3.05914
Masking frequency index 14
Mask scale size = 3.05921
Masking frequency index 15
Mask scale size = 3.05929
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.26123
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.256348
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.26123
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.263672
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.251465
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.266113
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.26123
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.253906
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.251465
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.26123
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.258789
Median point-to-point PLL voltage change: 0.0219727
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -0.11601 103.26
Freq 1: Shift, scale = -0.55199 101.77
Freq 2: Shift, scale = -0.98086 100.3
Freq 3: Shift, scale = -1.4173 99.261
Freq 4: Shift, scale = -1.8598 98.203
Freq 5: Shift, scale = -2.3147 98.237
Freq 6: Shift, scale = -2.7569 98.747
Freq 7: Shift, scale = 3.0824 99.704
Freq 8: Shift, scale = 2.6387 101.36
Freq 9: Shift, scale = 2.1972 102.9
Freq 10: Shift, scale = 1.7576 104.31
Freq 11: Shift, scale = 1.3224 105.97
Freq 12: Shift, scale = 0.89422 107.45
Freq 13: Shift, scale = 0.46008 107.09
Freq 14: Shift, scale = 0.026512 105.88
Freq 15: Shift, scale = -0.40838 104.51
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 3
piston: -0.161 radians
x offset: 0.0391 arcsec
y offset: 0.0453 arcsec
defocus: -0.012 mm
Estimated x pointing error is 4.139 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.25 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.908 mm (used 2.92 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.159 radians
x offset: -0.00778 arcsec
y offset: 0.051 arcsec
defocus: -0.0115 mm
Estimated x pointing error is 4.092 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.25 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.909 mm (used 2.92 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.151 radians
x offset: 0.00282 arcsec
y offset: 0.0734 arcsec
defocus: -0.0134 mm
Estimated x pointing error is 4.103 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.27 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.907 mm (used 2.92 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.151 radians
x offset: -0.00446 arcsec
y offset: 0.0542 arcsec
defocus: -0.0149 mm
Estimated x pointing error is 4.096 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.25 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.905 mm (used 2.92 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.158 radians
x offset: -0.00151 arcsec
y offset: 0.0828 arcsec
defocus: -0.0185 mm
Estimated x pointing error is 4.098 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.28 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.902 mm (used 2.92 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.174 radians
x offset: -0.00047 arcsec
y offset: 0.0712 arcsec
defocus: -0.0158 mm
Estimated x pointing error is 4.1 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.27 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.904 mm (used 2.92 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.179 radians
x offset: -0.00349 arcsec
y offset: 0.0859 arcsec
defocus: -0.0161 mm
Estimated x pointing error is 4.097 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.29 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.904 mm (used 2.92 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.183 radians
x offset: -0.00432 arcsec
y offset: 0.0674 arcsec
defocus: -0.0121 mm
Estimated x pointing error is 4.096 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.27 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.908 mm (used 2.92 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.188 radians
x offset: 0.0213 arcsec
y offset: 0.0393 arcsec
defocus: -0.0109 mm
Estimated x pointing error is 4.121 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.24 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.909 mm (used 2.92 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.191 radians
x offset: 0.0508 arcsec
y offset: 0.00184 arcsec
defocus: -0.0114 mm
Estimated x pointing error is 4.151 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.2 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.909 mm (used 2.92 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.192 radians
x offset: 0.0835 arcsec
y offset: -0.0126 arcsec
defocus: -0.011 mm
Estimated x pointing error is 4.183 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.19 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.909 mm (used 2.92 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.191 radians
x offset: 0.123 arcsec
y offset: -0.0527 arcsec
defocus: -0.0141 mm
Estimated x pointing error is 4.223 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.15 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.906 mm (used 2.92 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.182 radians
x offset: 0.145 arcsec
y offset: -0.0408 arcsec
defocus: -0.0173 mm
Estimated x pointing error is 4.245 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.16 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.903 mm (used 2.92 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.178 radians
x offset: 0.145 arcsec
y offset: -0.0715 arcsec
defocus: -0.0188 mm
Estimated x pointing error is 4.245 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.13 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.901 mm (used 2.92 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.172 radians
x offset: 0.141 arcsec
y offset: -0.0517 arcsec
defocus: -0.0175 mm
Estimated x pointing error is 4.241 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.15 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.903 mm (used 2.92 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.166 radians
x offset: 0.146 arcsec
y offset: -0.0575 arcsec
defocus: -0.0153 mm
Estimated x pointing error is 4.246 arcsec (used 4.1 arcsec)
Estimated y pointing error is 11.14 arcsec (used 11.2 arcsec)
Estimated defocus error is 2.905 mm (used 2.92 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 -0.00100 piston
1 1 -0.00362 tilt_x
1 -1 -0.00766 tilt_y
2 2 -0.00480 astigmatism_0
2 0 -0.00524 curvature
2 -2 0.05955 astigmatism45
3 3 -0.06603 trefoil_0
3 1 -0.01746 coma_x
3 -1 -0.03651 coma_y
3 -3 0.01137 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 -0.00087 piston
1 1 -0.00367 tilt_x
1 -1 -0.00846 tilt_y
2 2 -0.00286 astigmatism_0
2 0 -0.00495 curvature
2 -2 0.05645 astigmatism45
3 3 -0.06724 trefoil_0
3 1 -0.01779 coma_x
3 -1 -0.03796 coma_y
3 -3 0.00661 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 -0.00090 piston
1 1 -0.00304 tilt_x
1 -1 -0.00668 tilt_y
2 2 -0.00423 astigmatism_0
2 0 -0.00468 curvature
2 -2 0.05980 astigmatism45
3 3 -0.06655 trefoil_0
3 1 -0.01545 coma_x
3 -1 -0.03306 coma_y
3 -3 0.01139 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 -0.00084 piston
1 1 -0.00205 tilt_x
1 -1 -0.00671 tilt_y
2 2 -0.00508 astigmatism_0
2 0 -0.00446 curvature
2 -2 0.05710 astigmatism45
3 3 -0.06845 trefoil_0
3 1 -0.01242 coma_x
3 -1 -0.03240 coma_y
3 -3 0.00677 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 -0.00096 piston
1 1 -0.00171 tilt_x
1 -1 -0.00533 tilt_y
2 2 -0.00513 astigmatism_0
2 0 -0.00460 curvature
2 -2 0.06043 astigmatism45
3 3 -0.07029 trefoil_0
3 1 -0.01108 coma_x
3 -1 -0.02879 coma_y
3 -3 0.01184 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 -0.00096 piston
1 1 -0.00041 tilt_x
1 -1 -0.00538 tilt_y
2 2 -0.00419 astigmatism_0
2 0 -0.00461 curvature
2 -2 0.05867 astigmatism45
3 3 -0.07000 trefoil_0
3 1 -0.00802 coma_x
3 -1 -0.02880 coma_y
3 -3 0.00533 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 -0.00113 piston
1 1 -0.00061 tilt_x
1 -1 -0.00452 tilt_y
2 2 -0.00320 astigmatism_0
2 0 -0.00506 curvature
2 -2 0.06153 astigmatism45
3 3 -0.07153 trefoil_0
3 1 -0.00846 coma_x
3 -1 -0.02676 coma_y
3 -3 0.01089 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 -0.00117 piston
1 1 -0.00065 tilt_x
1 -1 -0.00508 tilt_y
2 2 -0.00286 astigmatism_0
2 0 -0.00528 curvature
2 -2 0.05953 astigmatism45
3 3 -0.06788 trefoil_0
3 1 -0.00904 coma_x
3 -1 -0.02837 coma_y
3 -3 0.00610 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 -0.00117 piston
1 1 -0.00074 tilt_x
1 -1 -0.00498 tilt_y
2 2 -0.00240 astigmatism_0
2 0 -0.00538 curvature
2 -2 0.06129 astigmatism45
3 3 -0.07235 trefoil_0
3 1 -0.00908 coma_x
3 -1 -0.02876 coma_y
3 -3 0.01186 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 -0.00112 piston
1 1 -0.00113 tilt_x
1 -1 -0.00620 tilt_y
2 2 -0.00397 astigmatism_0
2 0 -0.00535 curvature
2 -2 0.05715 astigmatism45
3 3 -0.06948 trefoil_0
3 1 -0.01004 coma_x
3 -1 -0.03138 coma_y
3 -3 0.00898 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 -0.00109 piston
1 1 -0.00122 tilt_x
1 -1 -0.00624 tilt_y
2 2 -0.00372 astigmatism_0
2 0 -0.00538 curvature
2 -2 0.06053 astigmatism45
3 3 -0.07186 trefoil_0
3 1 -0.01048 coma_x
3 -1 -0.03281 coma_y
3 -3 0.01110 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 -0.00101 piston
1 1 -0.00184 tilt_x
1 -1 -0.00713 tilt_y
2 2 -0.00335 astigmatism_0
2 0 -0.00525 curvature
2 -2 0.05627 astigmatism45
3 3 -0.07062 trefoil_0
3 1 -0.01253 coma_x
3 -1 -0.03424 coma_y
3 -3 0.01019 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 -0.00105 piston
1 1 -0.00193 tilt_x
1 -1 -0.00659 tilt_y
2 2 -0.00385 astigmatism_0
2 0 -0.00516 curvature
2 -2 0.06090 astigmatism45
3 3 -0.07213 trefoil_0
3 1 -0.01261 coma_x
3 -1 -0.03363 coma_y
3 -3 0.01299 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 -0.00092 piston
1 1 -0.00266 tilt_x
1 -1 -0.00740 tilt_y
2 2 -0.00220 astigmatism_0
2 0 -0.00504 curvature
2 -2 0.05725 astigmatism45
3 3 -0.07284 trefoil_0
3 1 -0.01556 coma_x
3 -1 -0.03490 coma_y
3 -3 0.01176 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 -0.00099 piston
1 1 -0.00289 tilt_x
1 -1 -0.00610 tilt_y
2 2 -0.00264 astigmatism_0
2 0 -0.00497 curvature
2 -2 0.05929 astigmatism45
3 3 -0.07275 trefoil_0
3 1 -0.01553 coma_x
3 -1 -0.03127 coma_y
3 -3 0.01276 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 -0.00083 piston
1 1 -0.00208 tilt_x
1 -1 -0.00597 tilt_y
2 2 -0.00083 astigmatism_0
2 0 -0.00452 curvature
2 -2 0.05718 astigmatism45
3 3 -0.07312 trefoil_0
3 1 -0.01389 coma_x
3 -1 -0.03027 coma_y
3 -3 0.00935 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: 26.9 19.6 19.9 23.2 24.7 26.6 43.3 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 19.3 19.9 21.8 22.8 24.6 38.3 27.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.32 4.44 5.92 7.16 8.58 11.5 17 11
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 18.9 20.2 23.4 25.4 27.1 43.5 30.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 18.4 20.2 21.9 23.5 25.4 39 27.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.4 4.57 6.04 7.15 8.41 11.2 16.8 10.9
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.4 18.7 19.8 23.4 25.5 27.7 42.9 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 18.4 19.7 22.1 23.6 25.6 38.6 27.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.1 4.04 5.48 6.84 8.49 11.5 16.9 10.9
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.1 19.1 19.9 23.6 25.8 28.5 42.7 30.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.2 18.8 19.8 22.3 23.8 26.5 38.7 28
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.99 3.84 5.22 6.56 8.28 11.4 16.7 10.7
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.9 19.5 21 23.9 25.7 28.9 43.1 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.9 19.3 20.9 22.7 23.7 26.9 38.6 28.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.78 3.48 4.89 6.47 8.53 11.9 17.2 11
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 20 21.4 24.6 25.9 29.1 42.8 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 19.8 21.3 23.5 23.9 27.3 38.7 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.72 3.37 4.73 6.25 8.31 11.6 16.8 10.7
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 19.6 22.1 25.3 25.6 29.2 42.5 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 19.4 22 24.3 23.5 27.5 37.8 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.62 3.21 4.62 6.32 8.58 12.1 17.4 11.1
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 19.6 22.2 25.1 26.2 28.9 42.7 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 19.4 22.1 24.1 24.1 27.4 38.4 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.72 3.36 4.72 6.26 8.28 11.5 16.6 10.6
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 19.5 22 25.1 25.4 28.1 42.2 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 19.3 21.8 24.1 23.3 26.3 37.3 28.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.74 3.41 4.83 6.48 8.65 12.1 17.5 11.2
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 19.1 21.7 24.6 25.6 27.5 42.5 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 18.9 21.7 23.6 23.5 25.9 38.1 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.89 3.67 5.03 6.43 8.27 11.4 16.8 10.7
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 18.8 20.6 24.6 25.1 27.2 42.4 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 18.5 20.6 23.5 23.3 25.2 37.5 27.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.98 3.84 5.27 6.76 8.69 12 17.6 11.2
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 19.1 19.3 23.8 25 26.8 42.9 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 18.7 19.4 22.5 23.1 24.9 38.3 27.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.09 4.02 5.42 6.72 8.37 11.5 17 10.9
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 19.2 19.4 23.3 24.8 26.7 43.5 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 18.8 19.5 21.8 22.9 24.9 38.3 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.06 3.99 5.45 6.92 8.79 12.1 17.7 11.4
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 19.4 19.9 22.8 25.2 27.1 44.1 30.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 18.8 20 21.5 23.2 25.2 39.2 27.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.19 4.2 5.65 6.97 8.61 11.8 17.5 11.2
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 19 19.9 22.8 24.9 27.5 43.3 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 18.5 19.8 21.6 22.9 25.5 38.3 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.01 3.88 5.32 6.8 8.67 12 17.6 11.2
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 18.9 20.4 22.6 25.3 27.9 43.2 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 18.6 20.3 21.4 23.2 25.9 38.8 27.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.91 3.7 5.1 6.55 8.45 11.7 17.3 11
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 17.5 18.6 21.5 23.1 25.2 40.8 28.1
Mean deviation is -1.4769035407365718 microns
Taper = 10 dB, Ruze illumination-weighted rms = 26.8 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 = 23.4 micron
Centre pixel: 64.0 64.0 Value = 2797.75 (estimate), 3426.12 (perfect)
Strehl = 0.666828
Strehl ratio estimate = 0.6668
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 = 22.7 micron
Centre pixel: 64.0 64.0 Value = 2377.91 (estimate), 3426.12 (perfect)
Strehl = 0.481709
Strehl ratio estimate = 0.4817
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35300 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 -28.3 -6.1 -14.6 32.5
2 1 2 -2.7 -27.4 13.2 30.5
3 1 3 11.7 14.5 -21.8 28.7
4 1 4 7.0 -3.9 -17.0 18.8
5 1 5 -20.4 13.5 34.7 42.4
6 1 6 -19.1 1.3 -8.4 20.9
7 1 7 -38.1 -1.0 9.1 39.2
8 1 8 -25.3 2.7 30.3 39.5
9 1 9 -66.7 -5.8 0.3 67.0
10 1 10 -24.4 3.3 16.7 29.7
11 1 11 10.9 5.7 -0.3 12.3
12 1 12 -5.4 3.1 1.5 6.4
13 2 1 2.2 -17.8 -20.3 27.1
14 2 2 -7.5 -1.0 -18.1 19.6
15 2 3 18.4 -30.2 -32.0 47.7
16 2 4 7.8 -15.8 -11.7 21.2
17 2 5 3.3 -16.5 -1.8 16.9
18 2 6 4.7 19.3 31.5 37.3
19 2 7 -11.2 15.0 6.2 19.7
20 2 8 14.0 9.7 2.9 17.2
21 2 9 19.0 5.2 9.1 21.7
22 2 10 6.7 7.4 12.9 16.3
23 2 11 3.9 3.6 -3.6 6.4
24 2 12 -6.8 -5.8 -18.7 20.8
25 2 13 -5.4 -11.8 -21.0 24.7
26 2 14 -8.3 -21.6 -16.0 28.2
27 2 15 5.0 -22.1 -24.4 33.3
28 2 16 4.0 -10.1 -8.2 13.6
29 2 17 6.9 -7.3 -3.5 10.6
30 2 18 -0.7 2.3 -10.7 11.0
31 2 19 -2.5 -15.5 -7.0 17.2
32 2 20 20.2 -24.0 -11.2 33.3
33 2 21 6.1 -5.4 -17.0 18.8
34 2 22 26.4 -28.6 -32.8 50.9
35 2 23 18.5 -24.6 -20.6 37.0
36 2 24 3.7 -21.5 -15.1 26.5
37 3 1 -7.0 6.2 -8.8 12.8
38 3 2 5.2 -0.1 -6.9 8.7
39 3 3 -13.4 -4.6 -8.4 16.5
40 3 4 -4.3 -7.7 18.8 20.8
41 3 5 -23.5 8.1 6.5 25.7
42 3 6 -20.6 -11.4 3.2 23.8
43 3 7 -13.0 -12.1 -19.7 26.5
44 3 8 -9.9 0.5 1.3 10.0
45 3 9 2.4 -9.4 1.0 9.8
46 3 10 -4.3 3.4 -6.6 8.6
47 3 11 22.3 2.4 11.4 25.1
48 3 12 5.6 26.4 3.3 27.2
49 3 13 -28.8 19.0 7.7 35.4
50 3 14 -0.9 6.1 0.3 6.1
51 3 15 1.8 13.2 29.0 32.0
52 3 16 20.5 12.7 20.8 31.9
53 3 17 27.1 22.8 15.2 38.6
54 3 18 28.6 15.8 18.0 37.3
55 3 19 19.0 16.2 11.1 27.3
56 3 20 -6.4 11.7 19.5 23.6
57 3 21 3.3 1.7 19.7 20.0
58 3 22 -1.7 -0.6 9.9 10.1
59 3 23 -1.1 4.3 -0.7 4.5
60 3 24 -17.8 -13.7 -10.0 24.6
61 3 25 -9.9 -18.0 -9.0 22.4
62 3 26 -19.3 -4.7 -11.5 23.0
63 3 27 -9.6 -8.4 -5.5 13.9
64 3 28 11.9 -8.9 -3.9 15.4
65 3 29 -4.7 -2.8 5.5 7.8
66 3 30 -10.1 -12.1 -11.1 19.3
67 3 31 2.1 0.5 1.1 2.4
68 3 32 9.1 7.9 -2.0 12.3
69 3 33 22.1 5.5 14.5 27.0
70 3 34 10.6 2.4 22.9 25.3
71 3 35 21.6 2.4 -10.5 24.2
72 3 36 12.8 0.4 -7.9 15.1
73 3 37 8.0 -0.9 -12.3 14.8
74 3 38 10.7 16.4 -2.1 19.7
75 3 39 5.4 13.8 -14.5 20.7
76 3 40 7.6 1.7 -6.9 10.4
77 3 41 11.7 8.4 -0.7 14.4
78 3 42 -13.6 11.6 3.3 18.1
79 3 43 -9.7 11.3 21.0 25.8
80 3 44 0.6 20.3 19.6 28.2
81 3 45 25.1 7.5 14.6 30.1
82 3 46 9.5 10.0 6.5 15.2
83 3 47 13.8 7.4 -0.4 15.7
84 3 48 -6.7 3.8 -24.8 25.9
85 4 1 -7.8 -18.6 15.2 25.3
86 4 2 -41.0 -12.1 -7.0 43.3
87 4 3 -26.4 -16.7 -30.8 43.8
88 4 4 -10.3 -14.4 -44.6 47.9
89 4 5 6.2 -8.4 -25.2 27.3
90 4 6 15.1 1.5 -20.8 25.8
91 4 7 -1.2 -2.0 2.7 3.6
92 4 8 -16.5 4.3 -14.5 22.3
93 4 9 7.2 -1.0 -6.7 9.9
94 4 10 -27.5 8.1 -5.2 29.1
95 4 11 -14.8 11.1 12.6 22.4
96 4 12 4.1 1.7 -10.2 11.1
97 4 13 -0.9 -9.1 36.5 37.6
98 4 14 -16.5 16.6 5.6 24.1
99 4 15 10.8 6.0 12.8 17.8
100 4 16 1.6 18.9 20.7 28.1
101 4 17 8.4 16.8 29.2 34.7
102 4 18 35.5 10.2 37.4 52.6
103 4 19 12.4 7.2 0.6 14.3
104 4 20 -2.3 13.1 17.6 22.0
105 4 21 -4.5 9.0 30.3 31.9
106 4 22 -17.3 18.1 34.8 42.9
107 4 23 -14.2 -4.1 14.6 20.8
108 4 24 35.9 8.7 41.1 55.2
109 4 25 14.6 9.1 53.6 56.3
110 4 26 4.2 2.4 24.5 24.9
111 4 27 -16.6 12.7 9.0 22.8
112 4 28 -28.9 -13.8 15.0 35.4
113 4 29 -46.3 -5.3 -46.8 66.0
114 4 30 -25.0 -20.4 -2.3 32.4
115 4 31 -17.2 -19.2 0.1 25.8
116 4 32 -18.0 8.6 -8.1 21.6
117 4 33 -10.8 4.4 -0.8 11.7
118 4 34 11.5 5.2 -11.8 17.3
119 4 35 -49.9 19.9 -25.8 59.6
120 4 36 -36.2 1.9 -13.4 38.6
121 4 37 28.7 18.8 7.2 35.1
122 4 38 3.2 17.1 13.7 22.2
123 4 39 -11.4 9.1 -9.3 17.3
124 4 40 0.8 3.4 9.5 10.1
125 4 41 -12.9 23.5 19.2 33.0
126 4 42 23.9 10.6 15.3 30.3
127 4 43 17.8 11.6 -19.2 28.6
128 4 44 -2.2 1.7 -8.6 9.1
129 4 45 -11.1 0.3 -3.4 11.6
130 4 46 -21.5 -19.3 -2.3 29.0
131 4 47 -54.2 -17.5 -67.3 88.1
132 4 48 -28.0 -20.7 7.9 35.8
133 5 1 -8.9 11.2 15.5 21.1
134 5 2 17.1 32.9 -16.5 40.6
135 5 3 -17.0 19.5 -29.0 38.8
136 5 4 1.5 -6.2 2.2 6.8
137 5 5 -4.5 -1.7 -15.3 16.0
138 5 6 -1.6 3.5 -14.8 15.3
139 5 7 8.7 12.0 0.2 14.9
140 5 8 10.6 17.1 -2.7 20.3
141 5 9 7.4 9.0 7.9 14.0
142 5 10 2.8 18.0 -4.6 18.7
143 5 11 23.0 7.5 7.8 25.4
144 5 12 -11.0 -2.0 11.6 16.2
145 5 13 -1.7 -1.6 18.8 19.0
146 5 14 11.2 23.3 -19.2 32.2
147 5 15 14.3 18.2 24.2 33.5
148 5 16 16.4 22.9 8.8 29.5
149 5 17 15.9 15.4 31.3 38.4
150 5 18 7.1 23.4 216.9 218.3
151 5 19 14.8 22.0 32.8 42.1
152 5 20 19.0 33.1 26.0 46.2
153 5 21 30.8 38.3 40.1 63.4
154 5 22 27.9 45.3 11.9 54.5
155 5 23 22.0 41.2 17.4 49.8
156 5 24 25.9 15.6 16.6 34.4
157 5 25 22.7 18.8 4.9 29.8
158 5 26 21.4 25.9 -9.8 35.0
159 5 27 7.4 24.0 -8.8 26.6
160 5 28 1.8 -7.0 24.3 25.4
161 5 29 -3.1 -0.2 -23.9 24.1
162 5 30 16.0 -2.4 -11.8 20.0
163 5 31 -34.9 4.9 -9.1 36.4
164 5 32 -8.7 -9.9 -14.3 19.5
165 5 33 15.6 -7.7 9.7 19.9
166 5 34 -3.2 -4.2 -3.9 6.5
167 5 35 8.5 10.1 -0.8 13.2
168 5 36 -3.2 17.9 2.8 18.4
169 5 37 14.7 22.6 -8.5 28.2
170 5 38 20.6 28.8 -11.3 37.2
171 5 39 -3.2 38.0 -43.8 58.1
172 5 40 8.0 31.1 7.1 32.9
173 5 41 31.0 40.9 -18.2 54.4
174 5 42 3.0 2.0 -19.0 19.4
175 5 43 4.3 4.9 -6.7 9.3
176 5 44 32.7 13.4 -30.6 46.7
177 5 45 30.2 15.2 -33.8 47.8
178 5 46 3.9 9.1 10.8 14.7
179 5 47 3.4 22.9 -20.1 30.7
180 5 48 -3.6 12.0 12.7 17.9
181 6 1 -11.2 -12.4 -15.2 22.6
182 6 2 -7.7 -14.4 -28.8 33.2
183 6 3 29.9 -10.3 8.8 32.8
184 6 4 0.8 -13.4 0.5 13.5
185 6 5 -7.1 -6.4 -28.8 30.4
186 6 6 -12.6 -14.1 -17.9 26.0
187 6 7 -1.3 -15.2 -24.1 28.5
188 6 8 -4.7 -2.6 -28.6 29.1
189 6 9 10.4 -5.3 26.4 28.9
190 6 10 44.4 -9.1 15.8 48.0
191 6 11 2.4 -16.5 -25.7 30.7
192 6 12 -0.6 -24.2 -38.7 45.6
193 6 13 0.7 -13.3 -34.4 36.9
194 6 14 -19.4 -23.4 -63.6 70.5
195 6 15 29.3 -20.6 1.9 35.9
196 6 16 1.7 15.0 31.0 34.5
197 6 17 15.7 -1.4 13.9 21.0
198 6 18 27.2 20.8 6.6 34.8
199 6 19 42.7 12.2 43.4 62.1
200 6 20 26.7 36.3 61.0 75.8
201 6 21 -28.1 20.4 -29.9 45.8
202 6 22 40.3 12.3 54.2 68.7
203 6 23 10.7 16.4 27.1 33.4
204 6 24 0.7 0.6 16.5 16.5
205 6 25 -25.2 -1.2 -21.3 33.0
206 6 26 -23.3 -2.4 -17.7 29.4
207 6 27 -43.0 -2.5 2.3 43.1
208 6 28 8.2 -52.7 -73.6 90.8
209 6 29 -26.7 9.6 -48.0 55.7
210 6 30 -18.0 -13.2 29.7 37.1
211 6 31 -25.4 -14.6 5.0 29.7
212 6 32 -18.6 -27.8 -15.5 36.9
213 6 33 12.2 -18.1 120.6 122.5
214 6 34 65.0 -1.1 44.7 78.9
215 6 35 1.3 -14.9 22.5 27.0
216 6 36 7.2 35.3 26.2 44.6
217 6 37 -0.6 22.3 37.0 43.2
218 6 38 29.0 -19.9 15.5 38.4
219 6 39 50.2 -10.3 60.7 79.4
220 6 40 13.6 5.4 2.9 14.9
221 6 41 -14.4 5.9 -13.0 20.3
222 6 42 13.9 -8.1 13.4 21.0
223 6 43 -23.2 -12.1 31.7 41.1
224 6 44 -4.9 4.8 -16.3 17.7
225 6 45 43.1 1.9 59.1 73.2
226 6 46 20.5 -8.9 32.5 39.4
227 6 47 -13.8 -14.9 -19.1 27.9
228 6 48 -19.5 -11.2 -18.7 29.3
229 7 1 -18.8 36.4 24.6 47.8
230 7 2 -9.9 11.5 3.9 15.7
231 7 3 -1.3 12.9 23.3 26.6
232 7 4 15.6 70.1 25.0 76.0
233 7 5 -9.6 14.9 24.0 29.8
234 7 6 -3.6 25.6 26.1 36.8
235 7 7 -20.2 12.3 -4.6 24.1
236 7 8 -11.4 1.4 -19.1 22.3
237 7 9 23.3 -34.1 -25.8 48.7
238 7 10 19.1 -24.9 -59.5 67.2
239 7 11 -4.3 -26.5 -105.5 108.9
240 7 12 -26.2 -38.1 -83.6 95.6
241 7 13 -41.6 -38.8 -90.3 106.7
242 7 14 -32.9 -25.3 -87.5 96.9
243 7 15 -8.3 -45.7 -71.6 85.3
244 7 16 37.2 14.4 -79.0 88.5
245 7 17 23.7 -37.3 -4.3 44.4
246 7 18 20.2 28.1 -39.5 52.6
247 7 19 54.7 25.1 -11.7 61.3
248 7 20 65.1 -17.2 -5.7 67.6
249 7 21 53.8 95.6 -20.4 111.6
250 7 22 15.5 9.4 -4.4 18.6
251 7 23 -5.0 -10.6 -46.0 47.5
252 7 24 -23.6 -43.3 -18.8 52.8
253 7 25 -69.7 -34.9 -69.2 104.2
254 7 26 -43.3 -50.5 -98.2 118.6
255 7 27 -53.1 -64.7 -91.0 123.6
256 7 28 -57.3 -4.8 151.8 162.3
257 7 29 41.7 -73.6 -123.3 149.5
258 7 30 -13.9 -25.8 -104.7 108.8
259 7 31 2.0 -42.1 -107.8 115.8
260 7 32 -1.0 -26.2 -63.1 68.3
261 7 33 40.9 -215.5 26.0 220.9
262 7 34 11.5 13.5 -47.9 51.1
263 7 35 22.4 9.1 -35.9 43.3
264 7 36 21.2 32.5 -11.1 40.4
265 7 37 35.6 37.0 0.5 51.3
266 7 38 36.9 5.3 -30.2 48.0
267 7 39 43.4 27.2 -16.6 53.8
268 7 40 72.3 62.5 -58.3 111.9
269 7 41 18.9 -0.8 -16.1 24.8
270 7 42 29.9 -4.7 -38.3 48.8
271 7 43 -27.5 -4.5 -49.9 57.2
272 7 44 5.2 9.4 3.8 11.4
273 7 45 6.0 -71.4 86.8 112.6
274 7 46 22.0 22.0 17.9 35.9
275 7 47 5.9 22.8 -2.0 23.7
276 7 48 0.1 151.7 48.3 159.3
Creating sector-motor-move file
sector motor steps
1 1 7
1 2 21
1 3 4
1 4 0
1 5 -4
1 6 0
1 7 7
1 8 3
1 9 0
1 10 2
1 11 -3
1 12 9
1 13 1
1 14 3
1 15 -3
1 16 -8
1 17 -4
1 18 -2
1 19 7
1 20 11
1 21 -5
1 22 -4
1 23 -3
1 24 -3
1 25 0
1 26 -1
1 27 0
1 28 -13
1 29 -4
1 30 -3
1 31 -8
1 32 5
1 33 -5
1 34 -9
1 35 -5
1 36 -8
1 37 -5
1 38 10
1 39 5
1 40 -2
1 41 -3
1 42 -12
1 43 4
1 44 3
1 45 -2
1 46 4
1 47 -5
1 48 -2
1 49 -2
1 50 -1
1 51 -4
1 52 -5
1 53 0
1 54 -2
1 55 -2
1 56 0
1 57 1
1 58 -1
1 59 -8
1 60 -4
1 61 -2
1 62 1
1 63 -2
1 64 -9
1 65 0
1 66 -6
1 67 5
1 68 -2
1 69 -1
2 1 -5
2 2 0
2 3 -3
2 4 -8
2 5 0
2 6 -1
2 7 -1
2 8 3
2 9 -6
2 10 -7
2 11 -4
2 12 0
2 13 8
2 14 7
2 15 -1
2 16 -5
2 17 -4
2 18 -3
2 19 7
2 20 4
2 21 -2
2 22 -8
2 23 -1
2 24 -2
2 25 0
2 26 5
2 27 3
2 28 -4
2 29 1
2 30 -5
2 31 0
2 32 3
2 33 2
2 34 0
2 35 0
2 36 0
2 37 -4
2 38 1
2 39 0
2 40 -6
2 41 0
2 42 4
2 43 -4
2 44 0
2 45 -1
2 46 -7
2 47 -2
2 48 1
2 49 -6
2 50 -3
2 51 -3
2 52 -3
2 53 -4
2 54 2
2 55 0
2 56 -3
2 57 -6
2 58 -8
2 59 0
2 60 4
2 61 2
2 62 2
2 63 -7
2 64 -5
2 65 5
2 66 -9
2 67 0
2 68 0
2 69 -3
3 1 -25
3 2 -11
3 3 -8
3 4 -11
3 5 -7
3 6 0
3 7 -32
3 8 -8
3 9 -1
3 10 -7
3 11 -5
3 12 0
3 13 -18
3 14 -7
3 15 5
3 16 4
3 17 -2
3 18 13
3 19 -7
3 20 -10
3 21 7
3 22 8
3 23 -1
3 24 3
3 25 3
3 26 0
3 27 -3
3 28 -3
3 29 0
3 30 1
3 31 2
3 32 2
3 33 7
3 34 3
3 35 3
3 36 -4
3 37 -1
3 38 5
3 39 0
3 40 -1
3 41 2
3 42 -8
3 43 2
3 44 2
3 45 2
3 46 -2
3 47 0
3 48 2
3 49 3
3 50 0
3 51 6
3 52 9
3 53 5
3 54 1
3 55 -2
3 56 1
3 57 -1
3 58 4
3 59 3
3 60 -6
3 61 0
3 62 -2
3 63 0
3 64 4
3 65 1
3 66 0
3 67 1
3 68 8
3 69 1
4 1 -24
4 2 4
4 3 11
4 4 9
4 5 4
4 6 0
4 7 -21
4 8 -14
4 9 -2
4 10 0
4 11 -6
4 12 8
4 13 -26
4 14 -7
4 15 -10
4 16 -19
4 17 -7
4 18 -5
4 19 -27
4 20 -11
4 21 -12
4 22 -10
4 23 -4
4 24 0
4 25 2
4 26 7
4 27 5
4 28 6
4 29 5
4 30 0
4 31 7
4 32 5
4 33 4
4 34 3
4 35 1
4 36 3
4 37 -5
4 38 7
4 39 3
4 40 1
4 41 5
4 42 -5
4 43 5
4 44 0
4 45 0
4 46 11
4 47 -2
4 48 0
4 49 8
4 50 4
4 51 0
4 52 0
4 53 2
4 54 4
4 55 0
4 56 1
4 57 0
4 58 -1
4 59 2
4 60 -5
4 61 2
4 62 5
4 63 -8
4 64 1
4 65 -3
4 66 1
4 67 6
4 68 3
4 69 6
5 1 -1
5 2 -5
5 3 19
5 4 18
5 5 11
5 6 8
5 7 -3
5 8 7
5 9 16
5 10 13
5 11 3
5 12 13
5 13 -12
5 14 8
5 15 6
5 16 2
5 17 6
5 18 8
5 19 -1
5 20 -11
5 21 7
5 22 4
5 23 0
5 24 4
5 25 7
5 26 10
5 27 5
5 28 5
5 29 4
5 30 0
5 31 10
5 32 6
5 33 4
5 34 0
5 35 2
5 36 3
5 37 66
5 38 7
5 39 2
5 40 11
5 41 3
5 42 10
5 43 9
5 44 4
5 45 4
5 46 8
5 47 5
5 48 2
5 49 3
5 50 4
5 51 5
5 52 3
5 53 2
5 54 2
5 55 5
5 56 4
5 57 8
5 58 4
5 59 -6
5 60 10
5 61 4
5 62 6
5 63 8
5 64 1
5 65 5
5 66 2
5 67 5
5 68 3
5 69 -1
6 1 -5
6 2 -13
6 3 -7
6 4 5
6 5 0
6 6 0
6 7 -14
6 8 -3
6 9 -1
6 10 8
6 11 5
6 12 3
6 13 -1
6 14 2
6 15 4
6 16 16
6 17 3
6 18 12
6 19 -6
6 20 29
6 21 16
6 22 -9
6 23 6
6 24 -8
6 25 5
6 26 4
6 27 7
6 28 12
6 29 2
6 30 11
6 31 5
6 32 12
6 33 6
6 34 4
6 35 -1
6 36 -4
6 37 3
6 38 13
6 39 8
6 40 10
6 41 5
6 42 -5
6 43 12
6 44 11
6 45 9
6 46 9
6 47 2
6 48 -1
6 49 0
6 50 1
6 51 0
6 52 -5
6 53 -1
6 54 -2
6 55 3
6 56 0
6 57 0
6 58 0
6 59 -5
6 60 -2
6 61 6
6 62 0
6 63 1
6 64 -3
6 65 1
6 66 -1
6 67 -3
6 68 -4
6 69 -5
7 1 46
7 2 -1
7 3 -17
7 4 -22
7 5 -16
7 6 2
7 7 -27
7 8 -19
7 9 -16
7 10 0
7 11 0
7 12 -13
7 13 -30
7 14 -15
7 15 -13
7 16 -5
7 17 0
7 18 -7
7 19 -21
7 20 -10
7 21 -21
7 22 -6
7 23 0
7 24 -7
7 25 7
7 26 -2
7 27 0
7 28 4
7 29 -4
7 30 -8
7 31 -2
7 32 7
7 33 2
7 34 2
7 35 3
7 36 -5
7 37 -3
7 38 7
7 39 6
7 40 7
7 41 0
7 42 1
7 43 1
7 44 5
7 45 6
7 46 16
7 47 2
7 48 4
7 49 -1
7 50 -2
7 51 -2
7 52 -4
7 53 -6
7 54 -2
7 55 -3
7 56 -1
7 57 -5
7 58 0
7 59 -11
7 60 2
7 61 -2
7 62 -5
7 63 -3
7 64 -6
7 65 -1
7 66 -6
7 67 -1
7 68 -2
7 69 3
8 1 -19
8 2 -8
8 3 0
8 4 -4
8 5 -8
8 6 -5
8 7 -33
8 8 -12
8 9 0
8 10 1
8 11 -4
8 12 -7
8 13 -32
8 14 -7
8 15 -4
8 16 9
8 17 -4
8 18 -5
8 19 -37
8 20 -22
8 21 12
8 22 -14
8 23 2
8 24 -8
8 25 -4
8 26 -3
8 27 -2
8 28 -2
8 29 2
8 30 -5
8 31 -2
8 32 1
8 33 -10
8 34 0
8 35 -5
8 36 -5
8 37 -3
8 38 0
8 39 4
8 40 0
8 41 -6
8 42 -7
8 43 -7
8 44 0
8 45 0
8 46 -14
8 47 -1
8 48 -14
8 49 0
8 50 0
8 51 0
8 52 -2
8 53 -3
8 54 1
8 55 -3
8 56 -3
8 57 -3
8 58 0
8 59 -7
8 60 9
8 61 1
8 62 0
8 63 -1
8 64 -2
8 65 1
8 66 -7
8 67 0
8 68 2
8 69 2
9 1 -3
9 2 9
9 3 6
9 4 8
9 5 10
9 6 2
9 7 -11
9 8 2
9 9 6
9 10 6
9 11 -4
9 12 0
9 13 -14
9 14 4
9 15 3
9 16 13
9 17 0
9 18 19
9 19 7
9 20 -66
9 21 12
9 22 36
9 23 -5
9 24 3
9 25 0
9 26 5
9 27 0
9 28 -4
9 29 0
9 30 -11
9 31 0
9 32 3
9 33 2
9 34 -7
9 35 6
9 36 -15
9 37 -1
9 38 -1
9 39 0
9 40 -3
9 41 1
9 42 3
9 43 2
9 44 -2
9 45 4
9 46 0
9 47 1
9 48 -3
9 49 -3
9 50 0
9 51 6
9 52 -3
9 53 0
9 54 0
9 55 7
9 56 0
9 57 3
9 58 -1
9 59 -20
9 60 0
9 61 4
9 62 1
9 63 6
9 64 -4
9 65 2
9 66 -1
9 67 -2
9 68 0
9 69 3
10 1 -17
10 2 19
10 3 22
10 4 0
10 5 1
10 6 4
10 7 -5
10 8 8
10 9 13
10 10 18
10 11 -3
10 12 15
10 13 -9
10 14 1
10 15 11
10 16 4
10 17 -6
10 18 8
10 19 0
10 20 11
10 21 10
10 22 11
10 23 6
10 24 0
10 25 2
10 26 9
10 27 2
10 28 2
10 29 1
10 30 0
10 31 -13
10 32 11
10 33 0
10 34 -2
10 35 2
10 36 -3
10 37 -3
10 38 8
10 39 6
10 40 4
10 41 5
10 42 0
10 43 -2
10 44 6
10 45 4
10 46 2
10 47 5
10 48 8
10 49 -4
10 50 4
10 51 1
10 52 -3
10 53 -7
10 54 6
10 55 0
10 56 5
10 57 3
10 58 1
10 59 -7
10 60 5
10 61 -3
10 62 0
10 63 2
10 64 -1
10 65 0
10 66 -2
10 67 -2
10 68 0
10 69 2
11 1 1
11 2 2
11 3 1
11 4 -5
11 5 1
11 6 -1
11 7 -15
11 8 -1
11 9 -8
11 10 9
11 11 -3
11 12 -7
11 13 -11
11 14 -1
11 15 9
11 16 4
11 17 -2
11 18 4
11 19 -4
11 20 0
11 21 5
11 22 -3
11 23 1
11 24 -4
11 25 -9
11 26 4
11 27 10
11 28 -2
11 29 0
11 30 0
11 31 -2
11 32 1
11 33 1
11 34 -5
11 35 3
11 36 5
11 37 -5
11 38 0
11 39 0
11 40 4
11 41 3
11 42 7
11 43 -5
11 44 12
11 45 9
11 46 5
11 47 7
11 48 -3
11 49 6
11 50 3
11 51 -2
11 52 -10
11 53 -8
11 54 8
11 55 1
11 56 3
11 57 -4
11 58 1
11 59 3
11 60 0
11 61 0
11 62 2
11 63 3
11 64 -7
11 65 1
11 66 -5
11 67 6
11 68 6
11 69 0
12 1 14
12 2 46
12 3 0
12 4 -5
12 5 -3
12 6 -5
12 7 0
12 8 7
12 9 1
12 10 -5
12 11 -4
12 12 -4
12 13 5
12 14 6
12 15 6
12 16 9
12 17 -2
12 18 6
12 19 26
12 20 -21
12 21 1
12 22 18
12 23 0
12 24 13
12 25 3
12 26 3
12 27 -1
12 28 2
12 29 -6
12 30 -8
12 31 -6
12 32 7
12 33 1
12 34 -20
12 35 -5
12 36 -16
12 37 3
12 38 2
12 39 1
12 40 0
12 41 -5
12 42 -6
12 43 -10
12 44 4
12 45 9
12 46 -1
12 47 0
12 48 -3
12 49 0
12 50 2
12 51 4
12 52 -4
12 53 -6
12 54 1
12 55 2
12 56 3
12 57 2
12 58 0
12 59 -1
12 60 0
12 61 4
12 62 2
12 63 7
12 64 -5
12 65 5
12 66 -6
12 67 -7
12 68 1
12 69 -2
Adjuster movements: rms = 28.2 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050919-112737
Creating HTML output file of plots
Plotting summary text