![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-194955.fits
Reduced on 20041115-155252 by janw on moana
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 | rxh3-20041111-194955.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -0.64 |
| data.pointing_offset_y | 19.32 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.79 |
| 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 | 0.033790000000000001 |
| 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: 20041115-155252
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-194955.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.8 max = 2431.3 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.790 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 -3.14697 3.12988 -0.02761
loimag -3.27393 3.19580 0.01093
hireal -5.00000 4.99756 -0.48201
hiimag -5.00000 4.99756 -0.14508
xpos -2431.30254 2418.27343 -7.73438
ypos -2402.82609 2402.97953 -0.00550
plock160 0.44434 1.91162 1.23006
lorefpwr 0.22217 1.68701 1.20859
losigpwr -4.53613 -0.15869 -4.35623
hirefpwr 0.29053 1.72119 1.25451
hisigpwr -4.44336 4.99756 -0.70010
encltemp 31.56738 32.78809 32.10035
flags 0.00000 256.00000 2.76738
phi-lock -1.60400 -0.21484 -0.93230
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99396 1473.10270
zeropt -0.00732 -0.00244 -0.00489
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
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 = 40.00626 arcsec
Mean row spacing = 40.00627 arcsec (alternate estimator)
Mean tracking incline = -0.27650 arcsec
Mean pointing range = 0.77984 arcsec
Mean pointing rms = 0.15528 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-0.64, 19.32 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22679 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22679 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2431.3 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 = 2.95789 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.00131437 sum of squares = 983.477
Imag: mean = -0.00197702 sum of squares = 963.562
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 = 2.95283 at (0.0, -40.013940751804832) arcsec
Real: mean = 0.00136193 sum of squares = 906.54
Imag: mean = -0.00246354 sum of squares = 1040.66
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 = 2.94475 at (0.0, 0.0) arcsec
Real: mean = 0.00172883 sum of squares = 874.25
Imag: mean = -0.00292519 sum of squares = 1074.05
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 = 2.99512 at (0.0, 0.0) arcsec
Real: mean = 0.00238005 sum of squares = 913.777
Imag: mean = -0.00308145 sum of squares = 1038.27
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 = 3.0349 at (0.0, 0.0) arcsec
Real: mean = 0.00296499 sum of squares = 1002.21
Imag: mean = -0.00286401 sum of squares = 955.603
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 = 3.09469 at (0.0, 0.0) arcsec
Real: mean = 0.00329089 sum of squares = 1076.57
Imag: mean = -0.00249756 sum of squares = 888.517
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 = 3.11896 at (0.0, 0.0) arcsec
Real: mean = 0.00342546 sum of squares = 1080.22
Imag: mean = -0.0021162 sum of squares = 890.761
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 = 3.13633 at (0.0, 0.0) arcsec
Real: mean = 0.00351573 sum of squares = 1013.44
Imag: mean = -0.00168439 sum of squares = 961.865
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 = 3.11217 at (0.0, 0.0) arcsec
Real: mean = 0.00345691 sum of squares = 927.823
Imag: mean = -0.00111387 sum of squares = 1051.2
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 = 3.08989 at (0.0, 0.0) arcsec
Real: mean = 0.00295365 sum of squares = 888.844
Imag: mean = -0.00068035 sum of squares = 1093
Gridding frequency index 10
lambda = 0.00373071 metres, scale = 0.00129952 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 3.0425 at (0.0, 0.0) arcsec
Real: mean = 0.00233002 sum of squares = 925.752
Imag: mean = -0.000649529 sum of squares = 1058.19
Gridding frequency index 11
lambda = 0.00373062 metres, scale = 0.00129955 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 3.01667 at (0.0, 0.0) arcsec
Real: mean = 0.00191996 sum of squares = 1012.48
Imag: mean = -0.000962591 sum of squares = 974.746
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 = 2.99692 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.00182905 sum of squares = 1084.26
Imag: mean = -0.00127116 sum of squares = 905.516
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 = 3.00622 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.00168892 sum of squares = 1094.42
Imag: mean = -0.00143615 sum of squares = 899.462
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 = 3.01019 at (0.0, -40.000995445835301) arcsec
Real: mean = 0.00150452 sum of squares = 1036.6
Imag: mean = -0.00177718 sum of squares = 960.437
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 = 3.00706 at (0.0, -40.0) arcsec
Real: mean = 0.00158121 sum of squares = 952.179
Imag: mean = -0.00236261 sum of squares = 1048.1
Masking frequency index 0
Mask scale size = 3.05931
Masking frequency index 1
Mask scale size = 3.05939
Masking frequency index 2
Mask scale size = 3.05946
Masking frequency index 3
Mask scale size = 3.05954
Masking frequency index 4
Mask scale size = 3.05962
Masking frequency index 5
Mask scale size = 3.05969
Masking frequency index 6
Mask scale size = 3.05977
Masking frequency index 7
Mask scale size = 3.05984
Masking frequency index 8
Mask scale size = 3.05992
Masking frequency index 9
Mask scale size = 3.06
Masking frequency index 10
Mask scale size = 3.06007
Masking frequency index 11
Mask scale size = 3.06015
Masking frequency index 12
Mask scale size = 3.06022
Masking frequency index 13
Mask scale size = 3.0603
Masking frequency index 14
Mask scale size = 3.06038
Masking frequency index 15
Mask scale size = 3.06045
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -0.10332 108.29
Freq 1: Shift, scale = -0.53642 106.91
Freq 2: Shift, scale = -0.96774 105.23
Freq 3: Shift, scale = -1.4007 103.56
Freq 4: Shift, scale = -1.8386 102.49
Freq 5: Shift, scale = -2.2838 101.89
Freq 6: Shift, scale = -2.7308 102.19
Freq 7: Shift, scale = 3.1049 103.27
Freq 8: Shift, scale = 2.6575 104.83
Freq 9: Shift, scale = 2.2139 106.56
Freq 10: Shift, scale = 1.7734 108.22
Freq 11: Shift, scale = 1.337 109.17
Freq 12: Shift, scale = 0.90387 109.64
Freq 13: Shift, scale = 0.47776 109.8
Freq 14: Shift, scale = 0.046746 109.41
Freq 15: Shift, scale = -0.38242 108.67
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: -0.236 radians
x offset: -0.154 arcsec
y offset: 0.107 arcsec
defocus: 0.00273 mm
Estimated x pointing error is -0.7944 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.43 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.793 mm (used 2.79 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.232 radians
x offset: -0.148 arcsec
y offset: 0.123 arcsec
defocus: 0.00107 mm
Estimated x pointing error is -0.7877 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.44 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.791 mm (used 2.79 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.227 radians
x offset: -0.16 arcsec
y offset: 0.133 arcsec
defocus: -6.91e-05 mm
Estimated x pointing error is -0.7997 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.45 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.223 radians
x offset: -0.172 arcsec
y offset: 0.148 arcsec
defocus: -0.00146 mm
Estimated x pointing error is -0.8123 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.47 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.224 radians
x offset: -0.18 arcsec
y offset: 0.143 arcsec
defocus: -0.00209 mm
Estimated x pointing error is -0.8199 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.46 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.788 mm (used 2.79 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.23 radians
x offset: -0.191 arcsec
y offset: 0.148 arcsec
defocus: -0.000724 mm
Estimated x pointing error is -0.8308 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.47 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.239 radians
x offset: -0.182 arcsec
y offset: 0.135 arcsec
defocus: -0.000109 mm
Estimated x pointing error is -0.8217 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.45 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.248 radians
x offset: -0.18 arcsec
y offset: 0.109 arcsec
defocus: 0.00021 mm
Estimated x pointing error is -0.8201 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.43 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.257 radians
x offset: -0.159 arcsec
y offset: 0.0847 arcsec
defocus: 0.000347 mm
Estimated x pointing error is -0.7989 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.4 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.263 radians
x offset: -0.136 arcsec
y offset: 0.0461 arcsec
defocus: -0.000951 mm
Estimated x pointing error is -0.7755 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.37 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.265 radians
x offset: -0.0866 arcsec
y offset: 0.0225 arcsec
defocus: -0.000712 mm
Estimated x pointing error is -0.7266 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.34 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.264 radians
x offset: -0.0707 arcsec
y offset: 0.016 arcsec
defocus: -0.00349 mm
Estimated x pointing error is -0.7107 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.34 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.787 mm (used 2.79 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.259 radians
x offset: -0.0447 arcsec
y offset: 0.0305 arcsec
defocus: -0.0049 mm
Estimated x pointing error is -0.6847 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.35 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.785 mm (used 2.79 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.247 radians
x offset: -0.0598 arcsec
y offset: 0.0389 arcsec
defocus: -0.00666 mm
Estimated x pointing error is -0.6998 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.36 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.783 mm (used 2.79 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.238 radians
x offset: -0.0508 arcsec
y offset: 0.0516 arcsec
defocus: -0.00533 mm
Estimated x pointing error is -0.6908 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.37 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.785 mm (used 2.79 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.229 radians
x offset: -0.0695 arcsec
y offset: 0.0595 arcsec
defocus: -0.00648 mm
Estimated x pointing error is -0.7095 arcsec (used -0.64 arcsec)
Estimated y pointing error is 19.38 arcsec (used 19.32 arcsec)
Estimated defocus error is 2.784 mm (used 2.79 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 0.00114 piston
1 1 -0.01433 tilt_x
1 -1 0.00272 tilt_y
2 2 -0.03386 astigmatism_0
2 0 0.00348 curvature
2 -2 0.02225 astigmatism45
3 3 -0.00185 trefoil_0
3 1 -0.03535 coma_x
3 -1 0.00204 coma_y
3 -3 0.05270 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 0.00123 piston
1 1 -0.01372 tilt_x
1 -1 0.00270 tilt_y
2 2 -0.03425 astigmatism_0
2 0 0.00384 curvature
2 -2 0.02150 astigmatism45
3 3 -0.00163 trefoil_0
3 1 -0.03337 coma_x
3 -1 0.00248 coma_y
3 -3 0.05334 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 0.00131 piston
1 1 -0.01313 tilt_x
1 -1 0.00346 tilt_y
2 2 -0.03481 astigmatism_0
2 0 0.00414 curvature
2 -2 0.02083 astigmatism45
3 3 -0.00225 trefoil_0
3 1 -0.03139 coma_x
3 -1 0.00504 coma_y
3 -3 0.05259 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 0.00135 piston
1 1 -0.01207 tilt_x
1 -1 0.00440 tilt_y
2 2 -0.03443 astigmatism_0
2 0 0.00440 curvature
2 -2 0.02067 astigmatism45
3 3 -0.00235 trefoil_0
3 1 -0.02797 coma_x
3 -1 0.00795 coma_y
3 -3 0.05307 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 0.00131 piston
1 1 -0.01154 tilt_x
1 -1 0.00547 tilt_y
2 2 -0.03347 astigmatism_0
2 0 0.00433 curvature
2 -2 0.02086 astigmatism45
3 3 -0.00385 trefoil_0
3 1 -0.02647 coma_x
3 -1 0.01090 coma_y
3 -3 0.05218 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 0.00123 piston
1 1 -0.01134 tilt_x
1 -1 0.00614 tilt_y
2 2 -0.03218 astigmatism_0
2 0 0.00408 curvature
2 -2 0.02179 astigmatism45
3 3 -0.00551 trefoil_0
3 1 -0.02597 coma_x
3 -1 0.01232 coma_y
3 -3 0.05189 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 0.00112 piston
1 1 -0.01135 tilt_x
1 -1 0.00569 tilt_y
2 2 -0.03120 astigmatism_0
2 0 0.00374 curvature
2 -2 0.02296 astigmatism45
3 3 -0.00562 trefoil_0
3 1 -0.02616 coma_x
3 -1 0.01043 coma_y
3 -3 0.05281 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 0.00103 piston
1 1 -0.01164 tilt_x
1 -1 0.00488 tilt_y
2 2 -0.03121 astigmatism_0
2 0 0.00337 curvature
2 -2 0.02249 astigmatism45
3 3 -0.00539 trefoil_0
3 1 -0.02688 coma_x
3 -1 0.00807 coma_y
3 -3 0.05394 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 0.00099 piston
1 1 -0.01157 tilt_x
1 -1 0.00407 tilt_y
2 2 -0.03089 astigmatism_0
2 0 0.00323 curvature
2 -2 0.02241 astigmatism45
3 3 -0.00433 trefoil_0
3 1 -0.02658 coma_x
3 -1 0.00582 coma_y
3 -3 0.05613 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 0.00101 piston
1 1 -0.01214 tilt_x
1 -1 0.00362 tilt_y
2 2 -0.03166 astigmatism_0
2 0 0.00314 curvature
2 -2 0.02065 astigmatism45
3 3 -0.00399 trefoil_0
3 1 -0.02796 coma_x
3 -1 0.00517 coma_y
3 -3 0.05720 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 0.00104 piston
1 1 -0.01222 tilt_x
1 -1 0.00349 tilt_y
2 2 -0.03153 astigmatism_0
2 0 0.00318 curvature
2 -2 0.01949 astigmatism45
3 3 -0.00547 trefoil_0
3 1 -0.02847 coma_x
3 -1 0.00550 coma_y
3 -3 0.05754 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 0.00108 piston
1 1 -0.01269 tilt_x
1 -1 0.00367 tilt_y
2 2 -0.03041 astigmatism_0
2 0 0.00318 curvature
2 -2 0.01796 astigmatism45
3 3 -0.00623 trefoil_0
3 1 -0.03038 coma_x
3 -1 0.00661 coma_y
3 -3 0.05595 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 0.00112 piston
1 1 -0.01294 tilt_x
1 -1 0.00330 tilt_y
2 2 -0.03042 astigmatism_0
2 0 0.00332 curvature
2 -2 0.01799 astigmatism45
3 3 -0.00623 trefoil_0
3 1 -0.03139 coma_x
3 -1 0.00556 coma_y
3 -3 0.05474 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 0.00115 piston
1 1 -0.01302 tilt_x
1 -1 0.00365 tilt_y
2 2 -0.02946 astigmatism_0
2 0 0.00350 curvature
2 -2 0.01747 astigmatism45
3 3 -0.00660 trefoil_0
3 1 -0.03197 coma_x
3 -1 0.00665 coma_y
3 -3 0.05365 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 0.00120 piston
1 1 -0.01316 tilt_x
1 -1 0.00414 tilt_y
2 2 -0.03032 astigmatism_0
2 0 0.00374 curvature
2 -2 0.01790 astigmatism45
3 3 -0.00582 trefoil_0
3 1 -0.03211 coma_x
3 -1 0.00772 coma_y
3 -3 0.05313 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 0.00125 piston
1 1 -0.01320 tilt_x
1 -1 0.00501 tilt_y
2 2 -0.03115 astigmatism_0
2 0 0.00397 curvature
2 -2 0.01713 astigmatism45
3 3 -0.00611 trefoil_0
3 1 -0.03190 coma_x
3 -1 0.01028 coma_y
3 -3 0.05286 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: 28.5 21.2 21.7 26.7 28 25.5 42.1 32.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.3 21.1 21.6 27.2 26.9 24.6 39.5 31
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.04 3.83 4.91 5.49 6.23 8.47 13 8.34
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 20.8 21.6 27.1 28.3 25.5 41.8 32.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 20.7 21.6 27.6 27.1 24.5 39.1 31.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.93 3.63 4.67 5.3 6.17 8.51 13 8.29
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 20.4 21.6 27.4 28.3 25.5 41.4 32.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.8 20.3 21.5 28 27.1 24.5 38.8 31.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.83 3.46 4.47 5.11 6.08 8.45 12.8 8.17
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.1 20.5 21.4 27.7 28.3 26 40.8 32.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.1 20.5 21.2 28.3 27.1 25 38.4 31.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.68 3.18 4.14 4.82 5.97 8.44 12.7 8.05
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 21 21.6 28.4 28.4 26.5 40.2 32.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 21 21.2 29 27.3 25.6 38 31.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.65 3.13 4.07 4.72 5.86 8.31 12.4 7.9
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 21.2 22.3 28.9 28.6 27 40.1 32.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 21.2 21.8 29.6 27.6 26.3 37.9 31.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.66 3.13 4.07 4.71 5.82 8.24 12.3 7.84
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 21.1 22.9 29.4 29 27.1 40.4 32.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 21.1 22.4 30.1 27.8 26.5 38.3 31.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.63 3.08 4.01 4.69 5.85 8.3 12.4 7.88
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 21 23.2 29.5 28.9 27 40.7 32.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.7 21.1 22.9 30.1 27.8 26.4 38.5 31.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.62 3.07 4.01 4.71 5.89 8.37 12.5 7.94
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 21 23.2 26.8 28.6 26.6 41.2 31.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 21.1 23.1 27.4 27.4 25.8 38.9 30.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.57 2.98 3.91 4.67 5.94 8.53 12.8 8.05
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 20.9 22.7 28.5 28.2 26.2 41.4 31.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34 20.9 22.7 29 27.1 25.3 38.9 30.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.64 3.1 4.06 4.78 6 8.59 12.9 8.16
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.7 20.8 21.3 28.3 28.1 25.7 42.1 31.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 20.8 21.3 28.8 27 24.7 39.5 30.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.67 3.16 4.11 4.81 6 8.57 13 8.17
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 20.9 21.4 28 28.2 25.4 41.7 31.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 20.8 21.4 28.5 27.2 24.4 39.1 30.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.79 3.36 4.33 4.93 5.89 8.29 12.7 8.02
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 21.1 21.6 27.7 28 25.2 40.7 31.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 21 21.6 28.2 27.1 24.1 38.1 30.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.83 3.45 4.42 5 5.86 8.19 12.6 7.98
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 20.9 21.7 27.3 27.6 25.4 40.1 31.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 20.8 21.6 27.9 26.7 24.4 37.6 30.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.88 3.52 4.5 5.02 5.78 8 12.3 7.86
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.3 20.6 21.8 27 27.5 25.7 39.7 31.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 20.6 21.6 27.6 26.5 24.6 37.3 30.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.9 3.56 4.55 5.06 5.81 8.03 12.4 7.89
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 20.3 21.7 27 27.6 26 39.3 31.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 20.3 21.5 27.7 26.7 24.9 36.9 30.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.93 3.61 4.61 5.09 5.83 8.04 12.4 7.91
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 19.3 19.7 25.4 26.9 24.4 39 30.1
Mean deviation is 1.9798871280056975 microns
Taper = 10 dB, Ruze illumination-weighted rms = 28.9 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 = 25.7 micron
Centre pixel: 64.0 64.0 Value = 2681.65 (estimate), 3426.12 (perfect)
Strehl = 0.61263
Strehl ratio estimate = 0.6126
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 = 25.1 micron
Centre pixel: 64.0 64.0 Value = 2186.13 (estimate), 3426.12 (perfect)
Strehl = 0.407145
Strehl ratio estimate = 0.4071
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 1.5 13.7 26.3 29.7
2 1 2 8.6 30.5 33.2 45.9
3 1 3 31.6 42.3 -19.7 56.3
4 1 4 23.2 -4.2 -15.2 28.0
5 1 5 -8.5 16.2 67.6 70.0
6 1 6 4.8 30.3 23.6 38.7
7 1 7 0.5 25.8 53.0 58.9
8 1 8 -9.0 50.8 60.4 79.4
9 1 9 -68.2 9.6 17.1 71.0
10 1 10 7.3 17.5 59.9 62.8
11 1 11 39.0 19.6 30.4 53.2
12 1 12 10.0 22.7 18.4 30.9
13 2 1 19.0 -16.7 -17.2 30.6
14 2 2 7.6 2.9 -0.0 8.1
15 2 3 31.6 -10.7 -25.5 42.0
16 2 4 27.4 -19.6 -7.4 34.4
17 2 5 35.3 11.4 20.4 42.4
18 2 6 19.7 28.5 34.2 48.7
19 2 7 -0.7 16.9 11.7 20.5
20 2 8 15.6 13.1 -2.8 20.6
21 2 9 24.4 -19.5 -10.6 33.0
22 2 10 4.9 11.5 28.9 31.5
23 2 11 21.8 7.0 -5.0 23.4
24 2 12 19.1 -9.4 -19.2 28.7
25 2 13 20.2 -8.5 -16.2 27.2
26 2 14 18.6 -27.9 -17.6 37.8
27 2 15 34.6 -25.6 -22.9 48.8
28 2 16 13.6 0.1 -4.8 14.4
29 2 17 24.8 -22.1 -18.9 38.2
30 2 18 11.9 9.7 2.7 15.6
31 2 19 9.7 -17.9 10.1 22.7
32 2 20 44.3 -3.0 -15.1 46.9
33 2 21 18.8 10.2 -1.0 21.4
34 2 22 23.8 -27.2 -18.3 40.5
35 2 23 22.6 -7.4 10.4 25.9
36 2 24 14.8 -2.2 -10.4 18.2
37 3 1 -3.0 21.8 17.7 28.2
38 3 2 4.5 8.6 16.8 19.4
39 3 3 -10.8 7.6 1.1 13.2
40 3 4 -0.1 -2.4 22.6 22.7
41 3 5 -8.2 12.5 2.6 15.2
42 3 6 -23.6 1.9 6.6 24.6
43 3 7 -14.8 1.6 -16.2 22.0
44 3 8 -11.4 -4.3 9.4 15.4
45 3 9 30.0 -5.1 -10.0 32.0
46 3 10 6.1 10.2 -16.2 20.1
47 3 11 21.3 19.8 -11.0 31.1
48 3 12 10.3 33.9 -11.6 37.3
49 3 13 -11.4 23.0 6.6 26.5
50 3 14 17.1 5.2 5.8 18.8
51 3 15 -15.5 0.2 -2.4 15.6
52 3 16 -5.7 2.4 6.6 9.0
53 3 17 22.3 11.2 31.2 39.9
54 3 18 33.8 9.5 27.0 44.3
55 3 19 24.9 6.5 -18.9 31.9
56 3 20 6.6 4.3 -5.9 9.9
57 3 21 5.0 -5.7 6.9 10.2
58 3 22 -11.2 -1.1 8.7 14.2
59 3 23 -9.5 -5.6 1.3 11.1
60 3 24 -30.0 -11.4 -16.7 36.2
61 3 25 -23.4 -16.3 -14.4 31.9
62 3 26 -31.8 -13.1 15.2 37.6
63 3 27 -38.2 -4.4 2.3 38.5
64 3 28 -5.1 -7.8 -7.4 11.9
65 3 29 2.6 -13.4 -22.4 26.2
66 3 30 -8.8 -29.1 -33.2 45.0
67 3 31 5.8 -13.2 -7.5 16.2
68 3 32 9.7 -0.1 7.0 11.9
69 3 33 3.8 0.1 4.1 5.6
70 3 34 -3.5 -5.0 -10.9 12.5
71 3 35 65.9 13.6 -11.8 68.3
72 3 36 2.1 12.1 -4.0 12.9
73 3 37 26.0 11.4 -13.0 31.3
74 3 38 28.5 13.6 -6.9 32.3
75 3 39 10.7 6.2 -22.3 25.6
76 3 40 55.4 -3.9 -4.7 55.8
77 3 41 2.8 -7.3 4.9 9.3
78 3 42 -16.9 19.8 9.8 27.9
79 3 43 -0.4 19.7 18.8 27.3
80 3 44 27.0 25.7 18.6 41.7
81 3 45 31.0 13.8 21.6 40.2
82 3 46 7.0 18.8 17.2 26.4
83 3 47 13.7 14.8 12.8 23.8
84 3 48 -1.5 19.9 -1.1 20.0
85 4 1 -4.3 -32.5 5.1 33.1
86 4 2 -8.9 -26.0 -74.3 79.2
87 4 3 4.7 -26.3 -59.7 65.4
88 4 4 16.5 -7.5 -71.7 73.9
89 4 5 21.7 -2.2 -30.9 37.8
90 4 6 13.3 -1.9 -7.7 15.5
91 4 7 16.8 -8.1 -15.5 24.3
92 4 8 0.1 1.4 -33.1 33.1
93 4 9 -1.4 -8.5 -28.9 30.2
94 4 10 -9.8 -16.4 -25.0 31.4
95 4 11 -19.3 1.1 -14.9 24.4
96 4 12 -4.2 -9.1 -19.1 21.6
97 4 13 2.3 -21.9 26.1 34.1
98 4 14 -8.2 0.5 -4.6 9.4
99 4 15 -7.1 -11.0 -2.6 13.3
100 4 16 -12.9 16.6 8.7 22.8
101 4 17 15.1 20.8 -28.7 38.5
102 4 18 13.8 -13.5 1.6 19.4
103 4 19 0.5 -13.2 -17.8 22.2
104 4 20 -14.3 -0.3 -13.0 19.3
105 4 21 -23.6 -7.8 17.5 30.5
106 4 22 -62.2 13.0 49.2 80.4
107 4 23 -31.8 -9.9 49.9 60.0
108 4 24 17.1 21.4 73.1 78.1
109 4 25 1.5 19.3 106.3 108.0
110 4 26 -8.7 -11.1 70.2 71.6
111 4 27 -54.5 0.7 12.9 56.0
112 4 28 -14.7 -19.7 -12.8 27.7
113 4 29 -15.5 -2.2 -63.1 65.0
114 4 30 -27.2 -16.9 3.5 32.3
115 4 31 -40.4 -18.0 3.9 44.4
116 4 32 -27.2 -0.1 -41.2 49.4
117 4 33 -29.2 -4.3 -14.0 32.7
118 4 34 -3.9 -7.2 -20.5 22.1
119 4 35 -63.9 6.5 -48.0 80.2
120 4 36 -26.7 5.4 -24.2 36.4
121 4 37 21.1 2.4 -21.1 29.9
122 4 38 12.3 -26.4 0.1 29.1
123 4 39 -2.7 -23.5 -10.0 25.6
124 4 40 -32.6 0.5 -11.2 34.5
125 4 41 10.2 23.9 40.8 48.4
126 4 42 58.9 3.9 4.2 59.2
127 4 43 29.6 2.6 -11.1 31.7
128 4 44 24.2 4.3 -14.8 28.7
129 4 45 23.3 -5.7 -51.1 56.5
130 4 46 16.6 -28.8 -53.1 62.6
131 4 47 -16.7 -33.2 -122.8 128.3
132 4 48 -27.6 -38.0 -17.9 50.2
133 5 1 -16.1 13.1 23.1 31.1
134 5 2 12.8 38.2 -3.1 40.4
135 5 3 -60.8 14.4 -26.9 68.0
136 5 4 -24.2 -12.2 16.3 31.6
137 5 5 -39.6 -11.2 -14.9 43.8
138 5 6 -14.9 -15.9 -34.0 40.4
139 5 7 8.6 -5.1 -17.2 19.9
140 5 8 -15.0 -6.3 -28.7 33.0
141 5 9 -12.1 -18.0 -21.8 30.7
142 5 10 -23.6 -2.4 -47.2 52.8
143 5 11 -14.4 -16.5 -33.8 40.3
144 5 12 -30.2 -4.4 -3.7 30.7
145 5 13 -17.3 -10.9 -4.4 20.9
146 5 14 0.3 23.3 -28.7 37.0
147 5 15 9.6 5.0 11.6 15.9
148 5 16 15.0 -2.1 -3.9 15.6
149 5 17 -15.2 -7.3 9.7 19.4
150 5 18 -16.8 5.2 203.1 203.9
151 5 19 12.6 5.5 25.1 28.6
152 5 20 27.4 20.1 -10.6 35.6
153 5 21 46.6 11.5 -37.4 60.8
154 5 22 50.8 47.5 -58.0 90.6
155 5 23 12.9 1.2 -41.2 43.2
156 5 24 16.6 -17.6 -41.4 47.9
157 5 25 17.0 -18.0 -43.7 50.2
158 5 26 28.4 14.4 -51.3 60.4
159 5 27 81.9 46.1 -27.6 98.0
160 5 28 78.3 13.0 -1.9 79.4
161 5 29 16.4 21.8 28.2 39.2
162 5 30 -13.5 -17.6 51.6 56.2
163 5 31 -20.0 -13.3 -17.7 29.8
164 5 32 -11.8 -12.2 -8.0 18.8
165 5 33 -4.7 -26.4 2.6 26.9
166 5 34 -40.6 -10.1 -45.8 62.0
167 5 35 -15.7 14.8 -64.4 67.9
168 5 36 -21.1 6.3 -49.7 54.4
169 5 37 -4.0 -2.3 -46.7 46.9
170 5 38 16.2 -45.5 -40.9 63.3
171 5 39 -9.8 13.1 -60.3 62.5
172 5 40 7.8 15.8 -22.1 28.3
173 5 41 9.4 13.4 -57.4 59.6
174 5 42 -1.1 -26.6 -49.2 55.9
175 5 43 -2.9 -28.4 -46.2 54.3
176 5 44 -40.8 4.0 -12.2 42.7
177 5 45 -0.5 4.3 -7.9 9.0
178 5 46 -10.7 -8.6 40.6 42.9
179 5 47 48.2 27.1 -35.9 66.0
180 5 48 -6.5 13.3 0.4 14.8
181 6 1 16.9 -5.3 -12.8 21.9
182 6 2 14.8 -2.7 -14.7 21.0
183 6 3 41.9 -3.3 26.4 49.6
184 6 4 18.1 2.5 -40.2 44.2
185 6 5 6.6 13.8 -12.3 19.7
186 6 6 -5.9 -5.6 -4.0 9.1
187 6 7 -33.9 -12.6 -32.2 48.4
188 6 8 -38.2 -31.1 -52.3 71.8
189 6 9 -23.5 -15.2 13.2 31.0
190 6 10 4.0 -33.2 -20.1 39.0
191 6 11 -27.6 -18.6 -43.8 55.0
192 6 12 -14.5 -1.3 -27.3 30.9
193 6 13 -17.6 -9.4 -20.4 28.5
194 6 14 -29.8 -8.1 -24.1 39.2
195 6 15 10.4 -1.2 21.0 23.4
196 6 16 -24.0 9.5 29.4 39.1
197 6 17 -1.4 11.3 20.5 23.4
198 6 18 13.3 0.8 9.3 16.2
199 6 19 -13.4 -13.1 20.7 28.0
200 6 20 0.4 2.2 20.9 21.0
201 6 21 -25.3 3.7 40.6 48.0
202 6 22 17.1 -33.8 17.3 41.6
203 6 23 -31.0 -22.7 1.3 38.4
204 6 24 -31.2 -19.9 -10.5 38.5
205 6 25 -37.6 -20.5 -15.6 45.5
206 6 26 -35.0 -11.3 -12.9 39.0
207 6 27 11.5 -19.9 27.5 35.9
208 6 28 20.7 72.0 321.3 329.9
209 6 29 -43.8 8.7 28.4 52.9
210 6 30 17.6 15.5 39.2 45.7
211 6 31 -0.3 18.9 26.4 32.5
212 6 32 -20.5 -36.3 7.3 42.3
213 6 33 -29.5 -4.6 82.8 88.0
214 6 34 31.6 -25.6 66.0 77.5
215 6 35 -27.8 -8.4 36.8 46.8
216 6 36 -33.3 31.7 46.2 65.1
217 6 37 -47.6 14.0 3.4 49.7
218 6 38 -50.8 -26.5 -18.9 60.3
219 6 39 12.0 5.0 15.7 20.4
220 6 40 26.8 -33.8 41.4 59.8
221 6 41 -46.6 -25.0 -17.5 55.7
222 6 42 -43.5 -14.2 23.7 51.6
223 6 43 11.6 -9.1 -1.8 14.9
224 6 44 -16.2 16.3 5.6 23.7
225 6 45 0.2 10.3 71.5 72.2
226 6 46 33.2 -2.5 37.5 50.1
227 6 47 4.2 -1.7 -3.9 6.0
228 6 48 -10.6 -5.7 -11.6 16.7
229 7 1 43.9 64.7 13.0 79.3
230 7 2 37.9 30.8 11.2 50.1
231 7 3 38.9 45.3 24.2 64.5
232 7 4 56.5 111.8 49.0 134.6
233 7 5 8.4 31.5 53.0 62.2
234 7 6 5.0 40.7 35.5 54.2
235 7 7 -27.4 31.6 18.9 45.9
236 7 8 1.1 -1.3 -50.7 50.8
237 7 9 21.7 -77.1 31.6 86.1
238 7 10 2.6 -23.8 12.3 26.9
239 7 11 -26.0 -21.3 -54.9 64.4
240 7 12 -18.5 7.4 -19.9 28.1
241 7 13 -20.2 6.3 3.1 21.4
242 7 14 -25.8 40.2 4.9 48.0
243 7 15 -33.3 30.7 -4.8 45.6
244 7 16 26.3 72.6 11.5 78.0
245 7 17 25.8 -1.7 33.3 42.1
246 7 18 12.6 43.1 20.9 49.6
247 7 19 24.7 39.0 31.2 55.7
248 7 20 8.3 17.7 32.3 37.7
249 7 21 59.5 63.1 16.4 88.3
250 7 22 23.0 4.3 -8.8 25.0
251 7 23 23.6 4.7 -25.3 34.9
252 7 24 -10.9 34.7 20.3 41.6
253 7 25 -17.9 48.5 65.9 83.7
254 7 26 11.6 43.6 -18.1 48.6
255 7 27 36.0 45.2 42.9 72.0
256 7 28 38.0 71.8 305.0 315.6
257 7 29 0.8 83.0 66.2 106.1
258 7 30 22.9 29.1 34.1 50.3
259 7 31 -24.9 35.3 18.9 47.2
260 7 32 33.5 9.1 -7.4 35.5
261 7 33 19.0 -172.6 76.3 189.6
262 7 34 30.0 46.6 15.0 57.4
263 7 35 30.8 36.6 6.4 48.3
264 7 36 39.5 48.8 34.1 71.5
265 7 37 -0.8 46.2 7.1 46.7
266 7 38 -4.1 28.7 -21.6 36.1
267 7 39 25.2 47.1 -6.8 53.9
268 7 40 46.7 98.2 -59.5 124.0
269 7 41 21.5 22.0 41.3 51.5
270 7 42 8.6 9.9 -7.8 15.2
271 7 43 -22.6 -1.4 -55.0 59.5
272 7 44 -37.1 42.6 20.8 60.2
273 7 45 45.2 12.7 113.4 122.8
274 7 46 71.3 75.5 32.5 108.8
275 7 47 76.6 77.9 27.0 112.5
276 7 48 59.1 197.7 50.4 212.4
Creating sector-motor-move file
sector motor steps
1 1 15
1 2 34
1 3 17
1 4 -12
1 5 0
1 6 5
1 7 7
1 8 13
1 9 11
1 10 8
1 11 -1
1 12 12
1 13 3
1 14 9
1 15 11
1 16 -4
1 17 0
1 18 4
1 19 3
1 20 19
1 21 13
1 22 -3
1 23 -1
1 24 5
1 25 5
1 26 -3
1 27 -7
1 28 -21
1 29 -2
1 30 5
1 31 -8
1 32 4
1 33 -18
1 34 -18
1 35 -8
1 36 1
1 37 0
1 38 11
1 39 3
1 40 -22
1 41 -7
1 42 -2
1 43 7
1 44 4
1 45 -4
1 46 1
1 47 -9
1 48 -1
1 49 0
1 50 2
1 51 -3
1 52 0
1 53 0
1 54 2
1 55 5
1 56 2
1 57 1
1 58 4
1 59 0
1 60 8
1 61 5
1 62 6
1 63 0
1 64 -3
1 65 5
1 66 -5
1 67 6
1 68 0
1 69 0
2 1 -15
2 2 0
2 3 0
2 4 -16
2 5 -9
2 6 -11
2 7 5
2 8 9
2 9 -8
2 10 -9
2 11 -3
2 12 -10
2 13 10
2 14 12
2 15 1
2 16 -1
2 17 -1
2 18 -1
2 19 16
2 20 9
2 21 2
2 22 -3
2 23 4
2 24 2
2 25 -8
2 26 -1
2 27 -4
2 28 -10
2 29 0
2 30 0
2 31 -5
2 32 -1
2 33 2
2 34 -4
2 35 -2
2 36 5
2 37 -10
2 38 -4
2 39 -4
2 40 -2
2 41 0
2 42 4
2 43 -4
2 44 -3
2 45 -12
2 46 -9
2 47 0
2 48 6
2 49 -4
2 50 0
2 51 -4
2 52 -2
2 53 -5
2 54 8
2 55 2
2 56 0
2 57 -7
2 58 9
2 59 2
2 60 10
2 61 0
2 62 3
2 63 -2
2 64 3
2 65 9
2 66 -7
2 67 2
2 68 -1
2 69 -3
3 1 -6
3 2 2
3 3 -5
3 4 -8
3 5 0
3 6 -4
3 7 -16
3 8 -6
3 9 -7
3 10 -13
3 11 -5
3 12 -8
3 13 3
3 14 -7
3 15 0
3 16 -6
3 17 -10
3 18 1
3 19 9
3 20 -23
3 21 6
3 22 4
3 23 -4
3 24 -7
3 25 -1
3 26 -1
3 27 -9
3 28 -5
3 29 -2
3 30 -1
3 31 -10
3 32 -5
3 33 -4
3 34 -4
3 35 0
3 36 -5
3 37 -14
3 38 0
3 39 -7
3 40 -7
3 41 -5
3 42 -3
3 43 -6
3 44 -5
3 45 -3
3 46 -8
3 47 -2
3 48 0
3 49 -3
3 50 6
3 51 6
3 52 10
3 53 8
3 54 6
3 55 -4
3 56 3
3 57 1
3 58 12
3 59 9
3 60 -6
3 61 -3
3 62 -1
3 63 9
3 64 5
3 65 10
3 66 6
3 67 -3
3 68 10
3 69 3
4 1 3
4 2 22
4 3 8
4 4 9
4 5 2
4 6 -7
4 7 -1
4 8 9
4 9 -10
4 10 6
4 11 0
4 12 3
4 13 1
4 14 12
4 15 -7
4 16 -7
4 17 -2
4 18 -9
4 19 0
4 20 1
4 21 -6
4 22 -6
4 23 -2
4 24 -5
4 25 -1
4 26 0
4 27 4
4 28 2
4 29 5
4 30 -3
4 31 3
4 32 1
4 33 2
4 34 0
4 35 -3
4 36 -2
4 37 -8
4 38 7
4 39 0
4 40 -1
4 41 0
4 42 -2
4 43 -1
4 44 -3
4 45 -5
4 46 8
4 47 -6
4 48 0
4 49 0
4 50 0
4 51 -4
4 52 0
4 53 4
4 54 4
4 55 1
4 56 1
4 57 5
4 58 -1
4 59 7
4 60 -4
4 61 2
4 62 7
4 63 -3
4 64 -5
4 65 0
4 66 3
4 67 2
4 68 0
4 69 -1
5 1 9
5 2 5
5 3 2
5 4 6
5 5 0
5 6 0
5 7 9
5 8 11
5 9 7
5 10 6
5 11 -4
5 12 -4
5 13 6
5 14 13
5 15 3
5 16 2
5 17 0
5 18 4
5 19 10
5 20 0
5 21 7
5 22 6
5 23 3
5 24 0
5 25 -3
5 26 6
5 27 8
5 28 -3
5 29 0
5 30 -4
5 31 7
5 32 1
5 33 3
5 34 -5
5 35 -4
5 36 0
5 37 62
5 38 1
5 39 -5
5 40 0
5 41 -4
5 42 4
5 43 2
5 44 -2
5 45 -4
5 46 -8
5 47 6
5 48 4
5 49 -5
5 50 1
5 51 7
5 52 8
5 53 3
5 54 1
5 55 8
5 56 2
5 57 10
5 58 4
5 59 -2
5 60 20
5 61 9
5 62 3
5 63 6
5 64 2
5 65 7
5 66 -3
5 67 -1
5 68 1
5 69 2
6 1 6
6 2 10
6 3 -3
6 4 -3
6 5 -6
6 6 -9
6 7 -7
6 8 1
6 9 7
6 10 0
6 11 -6
6 12 -9
6 13 -2
6 14 1
6 15 7
6 16 5
6 17 -10
6 18 5
6 19 5
6 20 19
6 21 18
6 22 12
6 23 1
6 24 -7
6 25 -12
6 26 -5
6 27 5
6 28 22
6 29 6
6 30 5
6 31 -12
6 32 0
6 33 3
6 34 15
6 35 -3
6 36 -9
6 37 -17
6 38 14
6 39 15
6 40 15
6 41 3
6 42 -19
6 43 -11
6 44 3
6 45 14
6 46 5
6 47 -2
6 48 -7
6 49 0
6 50 -1
6 51 -2
6 52 -5
6 53 -2
6 54 5
6 55 2
6 56 0
6 57 -3
6 58 9
6 59 1
6 60 7
6 61 2
6 62 -1
6 63 1
6 64 -2
6 65 6
6 66 -1
6 67 -5
6 68 -3
6 69 -9
7 1 93
7 2 22
7 3 11
7 4 98
7 5 22
7 6 6
7 7 13
7 8 13
7 9 11
7 10 8
7 11 -6
7 12 3
7 13 -5
7 14 13
7 15 3
7 16 -3
7 17 -3
7 18 -10
7 19 20
7 20 14
7 21 -5
7 22 -4
7 23 -6
7 24 -11
7 25 0
7 26 3
7 27 24
7 28 -3
7 29 -6
7 30 -4
7 31 -8
7 32 14
7 33 25
7 34 3
7 35 0
7 36 -16
7 37 -15
7 38 4
7 39 8
7 40 21
7 41 -3
7 42 -2
7 43 -13
7 44 -5
7 45 5
7 46 32
7 47 5
7 48 0
7 49 0
7 50 -1
7 51 -11
7 52 -5
7 53 -8
7 54 5
7 55 4
7 56 -4
7 57 -9
7 58 7
7 59 0
7 60 16
7 61 -4
7 62 -5
7 63 -7
7 64 -7
7 65 6
7 66 -4
7 67 -2
7 68 -2
7 69 -1
8 1 -2
8 2 2
8 3 10
8 4 2
8 5 -11
8 6 -6
8 7 5
8 8 10
8 9 -7
8 10 8
8 11 5
8 12 0
8 13 10
8 14 8
8 15 7
8 16 12
8 17 4
8 18 5
8 19 20
8 20 25
8 21 0
8 22 8
8 23 2
8 24 -13
8 25 -2
8 26 -3
8 27 -3
8 28 -12
8 29 0
8 30 -8
8 31 -5
8 32 -4
8 33 -6
8 34 1
8 35 -5
8 36 -12
8 37 15
8 38 -5
8 39 -4
8 40 1
8 41 -5
8 42 -8
8 43 8
8 44 6
8 45 5
8 46 -19
8 47 0
8 48 -4
8 49 -2
8 50 -4
8 51 1
8 52 -1
8 53 0
8 54 4
8 55 -10
8 56 -8
8 57 -2
8 58 15
8 59 -2
8 60 18
8 61 -6
8 62 -4
8 63 0
8 64 -6
8 65 10
8 66 -7
8 67 2
8 68 0
8 69 2
9 1 10
9 2 14
9 3 12
9 4 14
9 5 9
9 6 -10
9 7 1
9 8 11
9 9 9
9 10 11
9 11 -2
9 12 -8
9 13 4
9 14 14
9 15 9
9 16 20
9 17 -7
9 18 9
9 19 23
9 20 -52
9 21 5
9 22 25
9 23 -1
9 24 -9
9 25 -15
9 26 1
9 27 -6
9 28 -7
9 29 1
9 30 -8
9 31 -19
9 32 4
9 33 -4
9 34 -14
9 35 1
9 36 -19
9 37 -14
9 38 -3
9 39 -12
9 40 -6
9 41 -2
9 42 -1
9 43 0
9 44 -8
9 45 -1
9 46 -4
9 47 -1
9 48 -8
9 49 -3
9 50 4
9 51 20
9 52 0
9 53 2
9 54 3
9 55 -3
9 56 -1
9 57 -1
9 58 2
9 59 -20
9 60 5
9 61 1
9 62 0
9 63 1
9 64 -5
9 65 7
9 66 -5
9 67 -1
9 68 3
9 69 0
10 1 -18
10 2 30
10 3 14
10 4 12
10 5 -10
10 6 8
10 7 -2
10 8 14
10 9 7
10 10 4
10 11 1
10 12 3
10 13 -6
10 14 8
10 15 -1
10 16 -5
10 17 -8
10 18 -15
10 19 2
10 20 14
10 21 0
10 22 1
10 23 4
10 24 -14
10 25 -6
10 26 4
10 27 2
10 28 -3
10 29 0
10 30 -10
10 31 -18
10 32 4
10 33 -2
10 34 -3
10 35 -7
10 36 0
10 37 -12
10 38 -13
10 39 4
10 40 0
10 41 -8
10 42 3
10 43 -14
10 44 0
10 45 -1
10 46 -6
10 47 0
10 48 6
10 49 -6
10 50 1
10 51 3
10 52 -4
10 53 0
10 54 13
10 55 -2
10 56 4
10 57 8
10 58 5
10 59 2
10 60 18
10 61 -3
10 62 3
10 63 7
10 64 3
10 65 2
10 66 3
10 67 -1
10 68 -1
10 69 17
11 1 6
11 2 13
11 3 -11
11 4 1
11 5 4
11 6 -4
11 7 -16
11 8 0
11 9 -6
11 10 0
11 11 -2
11 12 3
11 13 -2
11 14 3
11 15 2
11 16 7
11 17 -4
11 18 -13
11 19 12
11 20 6
11 21 6
11 22 -5
11 23 -7
11 24 -14
11 25 -3
11 26 1
11 27 -12
11 28 -4
11 29 1
11 30 7
11 31 -14
11 32 -8
11 33 0
11 34 -3
11 35 0
11 36 9
11 37 -15
11 38 -8
11 39 0
11 40 1
11 41 1
11 42 18
11 43 -17
11 44 4
11 45 2
11 46 12
11 47 7
11 48 3
11 49 5
11 50 6
11 51 0
11 52 -5
11 53 -8
11 54 7
11 55 3
11 56 6
11 57 -5
11 58 5
11 59 11
11 60 9
11 61 1
11 62 -2
11 63 0
11 64 -2
11 65 5
11 66 0
11 67 5
11 68 7
11 69 8
12 1 15
12 2 60
12 3 18
12 4 -3
12 5 -1
12 6 -3
12 7 8
12 8 23
12 9 23
12 10 -1
12 11 0
12 12 1
12 13 9
12 14 23
12 15 21
12 16 11
12 17 0
12 18 10
12 19 34
12 20 3
12 21 13
12 22 21
12 23 3
12 24 0
12 25 0
12 26 4
12 27 -1
12 28 -5
12 29 -11
12 30 -8
12 31 -11
12 32 8
12 33 14
12 34 -37
12 35 -10
12 36 -5
12 37 12
12 38 -2
12 39 -3
12 40 -16
12 41 -8
12 42 5
12 43 -2
12 44 1
12 45 0
12 46 -15
12 47 -1
12 48 7
12 49 3
12 50 4
12 51 4
12 52 -3
12 53 0
12 54 4
12 55 5
12 56 5
12 57 2
12 58 6
12 59 3
12 60 5
12 61 6
12 62 4
12 63 9
12 64 -5
12 65 6
12 66 3
12 67 0
12 68 6
12 69 0
Adjuster movements: rms = 33.8 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-160140
Creating HTML output file of plots
Plotting summary text