![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20071003-141710.fits
Reduced on 20071003-151505 by janw on nene
Reduction code id: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/janw/rxh3 |
| data.filename | rxh3-20071003-141710.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 0 |
| data.pointing_offset_y | 0 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.5 |
| 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 | 0.033500000000000002 |
| 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: 20071003-151505
Reading data from rxh3-20071003-141710.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 = 2403.2 max = 2428.0 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.500 mm
----------------- Data Summary ---------------------
Number of samples: 370025
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.344000 80.345000 80.346000 80.348000 80.350000 80.351000
80.352000 80.354000 80.356000 80.357000 80.358000 80.360000
80.362000 80.363000 80.364000 80.366000
item min max mean
loreal -3.19092 3.23486 0.03081
loimag -3.42041 3.18848 -0.06838
hireal -5.00000 4.99756 1.12035
hiimag -5.00000 4.99756 -0.08901
xpos -2428.04225 2420.59569 -6.90022
ypos -2403.27545 2403.18207 0.00080
plock160 1.21826 2.44629 1.89604
lorefpwr 0.44434 1.59180 1.21734
losigpwr -4.57275 0.01465 -4.39482
hirefpwr 0.50293 1.64795 1.26576
hisigpwr -4.47266 4.99756 -0.39614
encltemp 31.90918 34.81445 32.50121
flags 0.00000 256.00000 2.76738
phi-lock -1.27686 -0.11230 -0.69845
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.98780 1473.09415
zeropt 0.00000 0.00488 0.00245
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
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 = 40.00631 arcsec
Mean row spacing = 40.00632 arcsec (alternate estimator)
Mean tracking incline = -0.05888 arcsec
Mean pointing range = 0.61720 arcsec
Mean pointing rms = 0.10757 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (0, 0 ) 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 = 2428.04 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373034
scale = 0.00129965
Diffraction scale lambda/D = 51.3099 arcsec
Gridding function extent = 307.859 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.93 arcsec
Airy first null at 62.5811 arcsec
Gridding frequency index 0
lambda = 0.00373136 metres, scale = 0.00129929 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 3.18638 at (0.0, -40.010952902519172) arcsec
Real: mean = -0.000858976 sum of squares = 963.534
Imag: mean = -0.00301803 sum of squares = 890.411
Gridding frequency index 1
lambda = 0.00373131 metres, scale = 0.00129931 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 3.20107 at (0.0, -40.010454913186891) arcsec
Real: mean = -0.000713086 sum of squares = 1000.98
Imag: mean = -0.00289286 sum of squares = 852.32
Gridding frequency index 2
lambda = 0.00373127 metres, scale = 0.00129933 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 3.21863 at (0.0, -40.009956936250724) arcsec
Real: mean = -0.000552625 sum of squares = 1023.18
Imag: mean = -0.00275384 sum of squares = 829.036
Gridding frequency index 3
lambda = 0.00373118 metres, scale = 0.00129936 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 3.27496 at (0.0, -40.0089610195649) arcsec
Real: mean = -0.000264655 sum of squares = 1011.6
Imag: mean = -0.00233444 sum of squares = 840.876
Gridding frequency index 4
lambda = 0.00373108 metres, scale = 0.00129939 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 = 3.29635 at (0.0, -40.007965152457999) arcsec
Real: mean = -0.000119897 sum of squares = 939.041
Imag: mean = -0.00177088 sum of squares = 914.423
Gridding frequency index 5
lambda = 0.00373104 metres, scale = 0.00129941 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 = 3.30782 at (0.0, -40.00746723749549) arcsec
Real: mean = -0.000223296 sum of squares = 896.308
Imag: mean = -0.00146224 sum of squares = 958.886
Gridding frequency index 6
lambda = 0.00373099 metres, scale = 0.00129942 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 = 3.31182 at (0.0, -40.006969334926325) arcsec
Real: mean = -0.000369598 sum of squares = 859.799
Imag: mean = -0.00117625 sum of squares = 996.596
Gridding frequency index 7
lambda = 0.0037309 metres, scale = 0.00129946 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 = 3.28005 at (0.0, -40.005973566966176) arcsec
Real: mean = -0.000904921 sum of squares = 828.352
Imag: mean = -0.000815178 sum of squares = 1029.87
Gridding frequency index 8
lambda = 0.0037308 metres, scale = 0.00129949 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 = 3.26084 at (0.0, -40.004977848573851) arcsec
Real: mean = -0.00146504 sum of squares = 862.941
Imag: mean = -0.000810601 sum of squares = 995.252
Gridding frequency index 9
lambda = 0.00373076 metres, scale = 0.0012995 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 = 3.24279 at (0.0, -40.004480007964467) arcsec
Real: mean = -0.00170545 sum of squares = 899.807
Imag: mean = -0.000893236 sum of squares = 958.396
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 = 3.2245 at (0.0, -40.003982179745641) arcsec
Real: mean = -0.00188978 sum of squares = 941.563
Imag: mean = -0.000995411 sum of squares = 916.143
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 = 3.20771 at (0.0, -40.002986560477851) arcsec
Real: mean = -0.00224643 sum of squares = 1011.94
Imag: mean = -0.00126623 sum of squares = 847.615
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 = 3.17778 at (0.0, -40.001990990766792) arcsec
Real: mean = -0.00257669 sum of squares = 1023.32
Imag: mean = -0.00172991 sum of squares = 838.055
Gridding frequency index 13
lambda = 0.00373048 metres, scale = 0.0012996 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 = 3.1716 at (0.0, -40.001493224493863) arcsec
Real: mean = -0.0026028 sum of squares = 1002.04
Imag: mean = -0.00205511 sum of squares = 860.932
Gridding frequency index 14
lambda = 0.00373043 metres, scale = 0.00129962 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 = 3.16314 at (0.0, -40.000995470608736) arcsec
Real: mean = -0.00255468 sum of squares = 966.754
Imag: mean = -0.00234919 sum of squares = 897.22
Gridding frequency index 15
lambda = 0.00373034 metres, scale = 0.00129965 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 = 3.14536 at (0.0, -40.0) arcsec
Real: mean = -0.00226231 sum of squares = 883.552
Imag: mean = -0.00296661 sum of squares = 984.42
Masking frequency index 0
Mask scale size = 3.05999
Masking frequency index 1
Mask scale size = 3.06003
Masking frequency index 2
Mask scale size = 3.06007
Masking frequency index 3
Mask scale size = 3.06014
Masking frequency index 4
Mask scale size = 3.06022
Masking frequency index 5
Mask scale size = 3.06026
Masking frequency index 6
Mask scale size = 3.0603
Masking frequency index 7
Mask scale size = 3.06037
Masking frequency index 8
Mask scale size = 3.06045
Masking frequency index 9
Mask scale size = 3.06049
Masking frequency index 10
Mask scale size = 3.06053
Masking frequency index 11
Mask scale size = 3.0606
Masking frequency index 12
Mask scale size = 3.06068
Masking frequency index 13
Mask scale size = 3.06072
Masking frequency index 14
Mask scale size = 3.06075
Masking frequency index 15
Mask scale size = 3.06083
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.0195312
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -2.0599 99.466
Freq 1: Shift, scale = -2.2809 100.18
Freq 2: Shift, scale = -2.5025 100.85
Freq 3: Shift, scale = -2.9431 102.03
Freq 4: Shift, scale = 2.9019 102.87
Freq 5: Shift, scale = 2.6856 103.08
Freq 6: Shift, scale = 2.4708 103.12
Freq 7: Shift, scale = 2.0452 103.38
Freq 8: Shift, scale = 1.6192 103.54
Freq 9: Shift, scale = 1.4045 103.52
Freq 10: Shift, scale = 1.1882 103.2
Freq 11: Shift, scale = 0.75055 102.02
Freq 12: Shift, scale = 0.31352 100.63
Freq 13: Shift, scale = 0.094783 99.838
Freq 14: Shift, scale = -0.1232 99.033
Freq 15: Shift, scale = -0.56162 98.243
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: -0.446 radians
x offset: 11.3 arcsec
y offset: 15.2 arcsec
defocus: 0.385 mm
Estimated x pointing error is 11.26 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.22 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.885 mm (used 2.5 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.45 radians
x offset: 11.3 arcsec
y offset: 15.2 arcsec
defocus: 0.385 mm
Estimated x pointing error is 11.32 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.21 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.885 mm (used 2.5 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.454 radians
x offset: 11.4 arcsec
y offset: 15.2 arcsec
defocus: 0.383 mm
Estimated x pointing error is 11.37 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.2 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.883 mm (used 2.5 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.462 radians
x offset: 11.5 arcsec
y offset: 15.2 arcsec
defocus: 0.379 mm
Estimated x pointing error is 11.49 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.18 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.879 mm (used 2.5 mm)
Fitting frequency 4
Minimiser fit code = 2
piston: -0.468 radians
x offset: 11.6 arcsec
y offset: 15.2 arcsec
defocus: 0.374 mm
Estimated x pointing error is 11.61 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.16 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.874 mm (used 2.5 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.399 radians
x offset: 10.1 arcsec
y offset: 15 arcsec
defocus: 0.433 mm
Estimated x pointing error is 10.13 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.01 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.933 mm (used 2.5 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.398 radians
x offset: 10.2 arcsec
y offset: 15 arcsec
defocus: 0.43 mm
Estimated x pointing error is 10.2 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.01 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.93 mm (used 2.5 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.391 radians
x offset: 10.3 arcsec
y offset: 15 arcsec
defocus: 0.423 mm
Estimated x pointing error is 10.31 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.04 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.923 mm (used 2.5 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.385 radians
x offset: 10.4 arcsec
y offset: 15.1 arcsec
defocus: 0.416 mm
Estimated x pointing error is 10.4 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.07 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.916 mm (used 2.5 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.383 radians
x offset: 10.5 arcsec
y offset: 15.1 arcsec
defocus: 0.413 mm
Estimated x pointing error is 10.46 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.09 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.913 mm (used 2.5 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.384 radians
x offset: 10.5 arcsec
y offset: 15.1 arcsec
defocus: 0.41 mm
Estimated x pointing error is 10.51 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.11 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.91 mm (used 2.5 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.39 radians
x offset: 10.6 arcsec
y offset: 15.2 arcsec
defocus: 0.404 mm
Estimated x pointing error is 10.63 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.15 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.904 mm (used 2.5 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.395 radians
x offset: 10.8 arcsec
y offset: 15.2 arcsec
defocus: 0.397 mm
Estimated x pointing error is 10.77 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.16 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.897 mm (used 2.5 mm)
Fitting frequency 13
Minimiser fit code = 2
piston: -0.398 radians
x offset: 10.8 arcsec
y offset: 15.2 arcsec
defocus: 0.395 mm
Estimated x pointing error is 10.83 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.17 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.895 mm (used 2.5 mm)
Fitting frequency 14
Minimiser fit code = 2
piston: -0.4 radians
x offset: 10.9 arcsec
y offset: 15.2 arcsec
defocus: 0.392 mm
Estimated x pointing error is 10.9 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.17 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.892 mm (used 2.5 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.404 radians
x offset: 11 arcsec
y offset: 15.2 arcsec
defocus: 0.39 mm
Estimated x pointing error is 11.03 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 15.17 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.89 mm (used 2.5 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 -0.00014 piston
1 1 -0.00383 tilt_x
1 -1 0.01403 tilt_y
2 2 0.02925 astigmatism_0
2 0 0.00554 curvature
2 -2 0.05730 astigmatism45
3 3 0.01581 trefoil_0
3 1 -0.00631 coma_x
3 -1 0.03775 coma_y
3 -3 -0.04129 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 -0.00005 piston
1 1 -0.00272 tilt_x
1 -1 0.01312 tilt_y
2 2 0.02664 astigmatism_0
2 0 0.00572 curvature
2 -2 0.05746 astigmatism45
3 3 0.01381 trefoil_0
3 1 -0.00328 coma_x
3 -1 0.03565 coma_y
3 -3 -0.04082 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 0.00006 piston
1 1 -0.00125 tilt_x
1 -1 0.01203 tilt_y
2 2 0.02460 astigmatism_0
2 0 0.00594 curvature
2 -2 0.05706 astigmatism45
3 3 0.01077 trefoil_0
3 1 0.00089 coma_x
3 -1 0.03312 coma_y
3 -3 -0.03984 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 0.00023 piston
1 1 0.00215 tilt_x
1 -1 0.01036 tilt_y
2 2 0.01816 astigmatism_0
2 0 0.00623 curvature
2 -2 0.05705 astigmatism45
3 3 0.00590 trefoil_0
3 1 0.01062 coma_x
3 -1 0.02965 coma_y
3 -3 -0.03733 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 0.00038 piston
1 1 0.00667 tilt_x
1 -1 0.00954 tilt_y
2 2 0.01093 astigmatism_0
2 0 0.00644 curvature
2 -2 0.05660 astigmatism45
3 3 0.00077 trefoil_0
3 1 0.02374 coma_x
3 -1 0.02875 coma_y
3 -3 -0.03583 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 -0.00175 piston
1 1 -0.04818 tilt_x
1 -1 0.02085 tilt_y
2 2 0.09465 astigmatism_0
2 0 0.00324 curvature
2 -2 0.04985 astigmatism45
3 3 0.06798 trefoil_0
3 1 -0.13406 coma_x
3 -1 0.04342 coma_y
3 -3 -0.04818 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 -0.00168 piston
1 1 -0.04543 tilt_x
1 -1 0.02050 tilt_y
2 2 0.09045 astigmatism_0
2 0 0.00345 curvature
2 -2 0.05007 astigmatism45
3 3 0.06548 trefoil_0
3 1 -0.12608 coma_x
3 -1 0.04295 coma_y
3 -3 -0.04915 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 -0.00165 piston
1 1 -0.04123 tilt_x
1 -1 0.02086 tilt_y
2 2 0.08454 astigmatism_0
2 0 0.00366 curvature
2 -2 0.04944 astigmatism45
3 3 0.05945 trefoil_0
3 1 -0.11390 coma_x
3 -1 0.04481 coma_y
3 -3 -0.05053 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 -0.00155 piston
1 1 -0.03737 tilt_x
1 -1 0.02109 tilt_y
2 2 0.07930 astigmatism_0
2 0 0.00396 curvature
2 -2 0.04999 astigmatism45
3 3 0.05543 trefoil_0
3 1 -0.10251 coma_x
3 -1 0.04641 coma_y
3 -3 -0.05255 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 -0.00146 piston
1 1 -0.03553 tilt_x
1 -1 0.02091 tilt_y
2 2 0.07697 astigmatism_0
2 0 0.00417 curvature
2 -2 0.04973 astigmatism45
3 3 0.05282 trefoil_0
3 1 -0.09702 coma_x
3 -1 0.04656 coma_y
3 -3 -0.05269 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 -0.00134 piston
1 1 -0.03350 tilt_x
1 -1 0.02062 tilt_y
2 2 0.07386 astigmatism_0
2 0 0.00439 curvature
2 -2 0.04962 astigmatism45
3 3 0.05029 trefoil_0
3 1 -0.09125 coma_x
3 -1 0.04661 coma_y
3 -3 -0.05280 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 -0.00106 piston
1 1 -0.02863 tilt_x
1 -1 0.01965 tilt_y
2 2 0.06741 astigmatism_0
2 0 0.00483 curvature
2 -2 0.04954 astigmatism45
3 3 0.04440 trefoil_0
3 1 -0.07690 coma_x
3 -1 0.04584 coma_y
3 -3 -0.05169 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 -0.00078 piston
1 1 -0.02358 tilt_x
1 -1 0.01905 tilt_y
2 2 0.06045 astigmatism_0
2 0 0.00515 curvature
2 -2 0.04950 astigmatism45
3 3 0.03754 trefoil_0
3 1 -0.06231 coma_x
3 -1 0.04620 coma_y
3 -3 -0.04926 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 -0.00061 piston
1 1 -0.02111 tilt_x
1 -1 0.01827 tilt_y
2 2 0.05667 astigmatism_0
2 0 0.00541 curvature
2 -2 0.04933 astigmatism45
3 3 0.03403 trefoil_0
3 1 -0.05517 coma_x
3 -1 0.04499 coma_y
3 -3 -0.04880 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 -0.00051 piston
1 1 -0.01840 tilt_x
1 -1 0.01796 tilt_y
2 2 0.05331 astigmatism_0
2 0 0.00548 curvature
2 -2 0.04868 astigmatism45
3 3 0.03019 trefoil_0
3 1 -0.04739 coma_x
3 -1 0.04490 coma_y
3 -3 -0.04731 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 -0.00031 piston
1 1 -0.01309 tilt_x
1 -1 0.01670 tilt_y
2 2 0.04628 astigmatism_0
2 0 0.00565 curvature
2 -2 0.04840 astigmatism45
3 3 0.02413 trefoil_0
3 1 -0.03214 coma_x
3 -1 0.04270 coma_y
3 -3 -0.04550 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: 32.4 27.4 29.2 39.2 29.7 37.4 48 39.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.4 27.5 29 38.6 27.8 34.8 45.9 37.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.2 4.23 5.66 6.73 7.97 10.5 15.2 10.2
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.2 27.5 28.1 38.3 29.6 37.2 47.9 39.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.3 27.7 27.9 37.7 27.9 34.8 45.8 37.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.06 3.97 5.37 6.47 7.78 10.3 14.8 9.92
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.8 27.8 28.6 38.4 29.6 36.7 47.6 39
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 28.2 28.5 37.9 28.1 34.4 45.6 37.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.91 3.7 5.05 6.17 7.54 10 14.4 9.61
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 28.3 28.3 39.4 29.8 36.3 46.9 38.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 29.1 28.8 39.1 28.7 34.3 45.1 37.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.82 3.52 4.82 5.9 7.21 9.57 13.7 9.15
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 28.4 27.6 43.9 30.2 35.8 46.8 39.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 29.9 28.8 44 29.7 34.2 45.2 38.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.14 4.09 5.42 6.28 7.16 9.21 13.4 9.09
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 26.3 24.9 43.2 29.8 37.4 50.1 40.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 27.2 29.7 45.7 31.5 34.8 49 40.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 8.09 15 18.6 18.9 16.8 18.4 31.4 21.8
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 26.6 24.1 41.5 29.9 36.9 49.7 40.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 27 28.4 43.7 31.1 34.2 48.4 40.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.64 14.2 17.6 17.9 16.1 17.9 30.2 20.9
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 26.9 23.4 38.2 29.6 36.8 48.3 39.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 26.7 26.5 40 30.2 34 47 38.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 7.02 13.1 16.2 16.6 15.1 16.9 28.4 19.5
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 27.3 24.6 35.6 29 37.1 47.4 38.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.3 26.7 26.9 37 28.9 33.8 46 37.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6.46 12 15 15.4 14.2 16.3 26.9 18.5
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 27.2 24.7 34.9 28.7 37.3 46.9 38.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 26.4 26.5 36.1 28.2 33.9 45.7 37.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6.18 11.5 14.3 14.8 13.8 15.9 26.1 17.9
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.1 26.9 24.9 34.4 28.3 37.6 46.6 38.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 25.9 25.6 35.5 27.4 34 45.5 37.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.88 11 13.7 14.1 13.3 15.5 25.3 17.3
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.2 26.2 25.4 34.5 28.3 37.7 46.2 38.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 25 25.7 35.1 26.5 34 45.4 37.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.14 9.59 12 12.6 12.2 14.5 23.2 15.8
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.3 25.4 25.2 34.8 28.5 37.9 46.3 38.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.5 24.2 25.2 35 26.3 34.3 45.5 37.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.45 8.33 10.5 11.1 11.1 13.4 21.1 14.3
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 25.4 25.4 37.9 28.8 37.7 46.6 39
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.1 24.2 25.2 37.7 26.4 34.2 45.6 37.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.09 7.66 9.68 10.4 10.5 12.8 20 13.6
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.4 25.5 25.7 39.9 28.9 37.7 46.7 39.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 24.4 25.5 39.7 26.5 34.5 45.7 37.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.75 7.03 8.93 9.64 9.91 12.2 19 12.8
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 25.8 27.4 50.2 29.3 37.5 46.9 41.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.3 25 27.1 49.6 27.1 34.6 45.5 39.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.07 5.79 7.44 8.25 8.9 11.3 17.1 11.5
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 27.8 24.9 18.4 23.7 26.1 35.1 45 34.9
Mean deviation is 0.63242432616827837 microns
Taper = 10 dB, Ruze illumination-weighted rms = 33.8 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 = 30.7 micron
Centre pixel: 64.0 64.0 Value = 2613.79 (estimate), 3708.08 (perfect)
Strehl = 0.496872
Strehl ratio estimate = 0.4969
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 = 29.7 micron
Centre pixel: 64.0 64.0 Value = 1978 (estimate), 3708.08 (perfect)
Strehl = 0.284548
Strehl ratio estimate = 0.2845
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35475 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 53.4 30.1 10.9 62.3
2 1 2 75.6 11.3 33.9 83.6
3 1 3 91.1 15.2 36.4 99.3
4 1 4 120.2 54.5 39.3 137.7
5 1 5 82.1 23.1 57.5 102.9
6 1 6 85.5 47.2 43.5 106.9
7 1 7 39.3 47.7 24.8 66.6
8 1 8 40.6 43.5 41.0 72.2
9 1 9 19.3 17.1 17.1 31.0
10 1 10 66.7 26.5 24.3 75.7
11 1 11 84.6 48.7 45.4 107.6
12 1 12 84.3 21.3 28.9 91.6
13 2 1 34.1 -41.5 -31.5 62.3
14 2 2 32.8 -26.0 -23.7 48.1
15 2 3 51.5 -23.9 -26.7 62.8
16 2 4 48.2 -18.8 -5.0 52.0
17 2 5 62.9 4.0 7.7 63.5
18 2 6 53.1 9.1 33.4 63.4
19 2 7 29.1 -4.9 22.6 37.2
20 2 8 92.5 10.1 -13.8 94.1
21 2 9 52.9 -6.9 7.9 53.9
22 2 10 45.4 4.0 19.5 49.5
23 2 11 33.8 -12.2 -5.8 36.4
24 2 12 24.3 -14.2 -24.3 37.2
25 2 13 31.4 9.6 -12.3 35.0
26 2 14 12.8 -27.6 -3.8 30.7
27 2 15 33.4 -18.4 -47.5 60.9
28 2 16 29.5 -13.6 -20.9 38.6
29 2 17 22.7 -18.9 -18.4 34.8
30 2 18 33.3 -5.5 -31.0 45.8
31 2 19 6.0 -16.2 -21.1 27.2
32 2 20 35.9 -18.7 -20.3 45.3
33 2 21 37.3 8.8 -19.6 43.1
34 2 22 42.2 -53.3 -56.4 88.4
35 2 23 71.5 -22.9 -27.6 80.0
36 2 24 33.4 -30.3 -32.5 55.6
37 3 1 -10.5 -17.6 -17.4 26.9
38 3 2 -15.3 -8.2 -29.0 33.8
39 3 3 -5.9 -4.8 -23.0 24.2
40 3 4 5.9 -10.2 4.0 12.4
41 3 5 -9.6 1.6 -18.4 20.8
42 3 6 -8.7 11.3 -13.2 19.4
43 3 7 5.0 12.1 -13.4 18.7
44 3 8 3.4 0.1 3.8 5.1
45 3 9 22.5 -6.3 -23.8 33.4
46 3 10 15.2 -0.4 -6.5 16.6
47 3 11 8.9 -3.7 -26.5 28.2
48 3 12 -2.0 48.0 -3.9 48.2
49 3 13 -6.4 8.3 -20.8 23.3
50 3 14 23.1 2.4 -36.2 43.0
51 3 15 -4.3 5.0 -20.5 21.5
52 3 16 5.9 -2.4 -21.9 22.8
53 3 17 29.5 -0.2 -27.7 40.4
54 3 18 15.7 8.3 -8.4 19.7
55 3 19 20.2 9.1 -35.6 41.9
56 3 20 -23.2 0.2 -6.1 24.0
57 3 21 -13.4 -12.2 -26.7 32.2
58 3 22 2.9 -1.4 -15.0 15.3
59 3 23 -3.5 -0.9 -29.8 30.0
60 3 24 12.9 -15.7 -23.6 31.2
61 3 25 -10.0 -19.5 -30.7 37.7
62 3 26 -29.4 -22.6 -26.4 45.5
63 3 27 -39.2 -24.4 -46.0 65.2
64 3 28 -12.0 -25.2 -51.9 59.0
65 3 29 -26.4 -30.9 -19.2 44.9
66 3 30 -22.9 -27.7 -38.5 52.7
67 3 31 -37.5 -14.0 -33.0 51.9
68 3 32 -24.3 -17.2 -40.5 50.3
69 3 33 -2.4 -10.1 3.2 10.8
70 3 34 4.4 1.4 8.3 9.5
71 3 35 7.1 1.2 -39.4 40.1
72 3 36 14.8 -12.6 -19.0 27.1
73 3 37 -11.1 -15.8 -50.3 53.8
74 3 38 -6.8 -2.4 -21.9 23.0
75 3 39 1.4 -18.0 -31.2 36.1
76 3 40 0.4 3.5 -41.4 41.6
77 3 41 7.2 2.2 -13.3 15.3
78 3 42 15.2 0.2 -14.5 21.1
79 3 43 -11.1 -0.5 -32.2 34.0
80 3 44 6.4 -19.6 -15.4 25.7
81 3 45 -3.7 -22.3 -44.7 50.1
82 3 46 -21.9 -24.5 -40.0 51.8
83 3 47 -53.3 -33.1 -43.2 76.2
84 3 48 -30.3 -31.4 -67.7 80.5
85 4 1 -25.8 -38.4 15.0 48.7
86 4 2 -6.3 -31.2 -61.4 69.1
87 4 3 -15.2 -20.2 -32.5 41.1
88 4 4 3.8 -4.2 -71.8 72.0
89 4 5 11.6 -0.0 -32.6 34.6
90 4 6 15.4 -4.1 -26.4 30.8
91 4 7 14.3 -9.9 -10.6 20.4
92 4 8 -14.2 10.3 -31.0 35.6
93 4 9 4.9 -8.2 -8.4 12.7
94 4 10 -8.8 5.8 -29.5 31.3
95 4 11 13.5 -17.3 -42.5 47.8
96 4 12 -11.1 58.5 -60.2 84.6
97 4 13 -11.3 -23.7 61.8 67.1
98 4 14 16.0 -10.7 -40.8 45.1
99 4 15 -32.8 -16.8 -20.8 42.3
100 4 16 -36.6 1.5 -18.5 41.1
101 4 17 -21.6 -15.1 -27.0 37.7
102 4 18 10.4 -13.5 14.9 22.7
103 4 19 -4.5 -17.0 -25.4 30.9
104 4 20 6.8 -7.6 -44.3 45.5
105 4 21 -27.3 -19.7 -31.5 46.1
106 4 22 -67.6 -29.5 83.1 111.1
107 4 23 -45.7 -37.8 -25.7 64.7
108 4 24 -55.3 -28.6 -8.5 62.8
109 4 25 -77.6 -24.1 -2.7 81.3
110 4 26 -40.0 -51.0 -66.0 92.5
111 4 27 -42.1 -28.2 -14.8 52.8
112 4 28 -44.3 -37.0 -28.0 64.2
113 4 29 -64.4 -22.9 -86.5 110.3
114 4 30 -42.2 -32.0 -12.9 54.5
115 4 31 -38.0 -25.4 -22.9 51.1
116 4 32 -45.6 -12.6 -3.5 47.5
117 4 33 -47.0 -1.1 -7.2 47.6
118 4 34 -4.7 1.2 -21.2 21.8
119 4 35 -12.4 0.4 -52.4 53.9
120 4 36 -44.9 5.0 -30.5 54.5
121 4 37 -20.2 15.0 -22.3 33.6
122 4 38 -6.1 -19.7 -68.2 71.2
123 4 39 -16.4 -9.6 -8.5 20.7
124 4 40 8.9 8.1 -35.4 37.4
125 4 41 -16.1 34.5 -23.6 44.8
126 4 42 -6.7 6.4 -37.1 38.2
127 4 43 -28.5 -2.0 -31.4 42.4
128 4 44 -11.4 9.3 -23.6 27.8
129 4 45 3.8 2.5 -25.6 26.0
130 4 46 -12.0 -21.1 -34.4 42.1
131 4 47 -17.2 -27.4 -35.6 48.1
132 4 48 -41.6 -40.4 -18.1 60.8
133 5 1 0.3 -17.3 -29.4 34.1
134 5 2 -25.9 -19.3 -33.5 46.5
135 5 3 -5.5 -15.1 -47.3 49.9
136 5 4 -0.9 -7.8 -30.1 31.1
137 5 5 -0.1 -1.1 -43.7 43.8
138 5 6 -12.1 -10.1 -37.2 40.4
139 5 7 3.9 24.3 -6.6 25.5
140 5 8 -8.7 20.1 -47.3 52.1
141 5 9 12.2 4.5 13.3 18.6
142 5 10 -8.3 7.8 -21.1 23.9
143 5 11 13.4 14.3 28.0 34.2
144 5 12 9.3 61.4 12.0 63.2
145 5 13 12.9 34.2 9.9 37.8
146 5 14 10.3 25.9 10.9 29.9
147 5 15 9.0 -1.3 -14.8 17.4
148 5 16 4.9 17.6 9.9 20.8
149 5 17 -15.4 23.3 46.7 54.5
150 5 18 3.8 -7.5 115.6 115.9
151 5 19 -13.7 -10.9 -36.4 40.4
152 5 20 -41.1 -23.4 -34.5 58.5
153 5 21 -6.6 -8.4 -25.2 27.4
154 5 22 -31.6 -11.4 -24.2 41.4
155 5 23 -42.5 -9.4 23.1 49.3
156 5 24 -0.2 -5.9 32.2 32.7
157 5 25 -7.2 -7.7 -5.0 11.6
158 5 26 -51.0 -21.9 2.0 55.5
159 5 27 -41.8 -30.7 -65.0 83.1
160 5 28 -31.3 -22.1 -28.2 47.6
161 5 29 -10.5 -19.6 -37.8 43.9
162 5 30 -22.6 -27.4 23.3 42.5
163 5 31 -41.3 -27.2 -31.7 58.7
164 5 32 -37.3 2.6 -15.8 40.6
165 5 33 5.3 33.0 8.4 34.5
166 5 34 -9.3 -2.4 -11.7 15.2
167 5 35 8.4 20.9 24.8 33.5
168 5 36 -4.5 30.3 17.8 35.4
169 5 37 11.0 53.0 -12.6 55.6
170 5 38 -26.8 6.3 -11.6 29.9
171 5 39 -0.2 42.6 11.3 44.1
172 5 40 -22.6 32.3 1.6 39.5
173 5 41 38.0 54.7 31.8 73.8
174 5 42 -17.4 11.0 -20.0 28.7
175 5 43 7.2 9.5 -27.9 30.4
176 5 44 0.6 12.4 -14.5 19.1
177 5 45 14.1 18.4 -14.2 27.2
178 5 46 0.9 -5.3 -21.4 22.1
179 5 47 -30.7 -24.3 13.7 41.5
180 5 48 -14.8 -3.1 -24.7 29.0
181 6 1 -41.5 -20.2 -30.5 55.3
182 6 2 -34.3 -34.5 -53.1 72.0
183 6 3 -53.3 -32.6 -71.4 94.8
184 6 4 -49.6 -23.5 -136.3 147.0
185 6 5 -23.2 -31.5 -79.5 88.7
186 6 6 -12.2 -19.2 -82.9 86.0
187 6 7 -7.2 -29.0 -50.1 58.3
188 6 8 -23.7 8.7 -24.3 35.0
189 6 9 -5.4 0.4 -34.3 34.7
190 6 10 -42.6 41.0 -12.1 60.3
191 6 11 45.3 28.4 26.9 59.8
192 6 12 30.4 27.8 10.6 42.6
193 6 13 28.7 27.4 -17.8 43.5
194 6 14 22.9 15.6 -12.2 30.3
195 6 15 -6.8 15.2 -25.4 30.4
196 6 16 -7.3 34.5 -52.0 62.8
197 6 17 -11.1 3.0 -29.2 31.4
198 6 18 3.9 3.8 -191.3 191.4
199 6 19 32.8 -15.2 -24.0 43.4
200 6 20 -27.2 7.0 30.7 41.6
201 6 21 -57.8 -8.5 -44.2 73.3
202 6 22 -7.4 78.4 -2.4 78.7
203 6 23 30.5 -1.5 43.9 53.5
204 6 24 1.4 8.8 19.1 21.1
205 6 25 -46.7 6.6 -19.8 51.2
206 6 26 -17.3 -21.6 -4.3 28.0
207 6 27 -68.9 -10.0 -30.8 76.1
208 6 28 -42.7 -23.7 -71.5 86.6
209 6 29 -69.6 24.6 -19.0 76.2
210 6 30 -29.9 4.0 63.1 69.9
211 6 31 -29.6 2.2 8.3 30.8
212 6 32 -34.7 -20.6 18.4 44.3
213 6 33 -37.6 29.0 -67.6 82.6
214 6 34 -62.6 43.7 -19.0 78.7
215 6 35 17.1 21.9 41.2 49.7
216 6 36 26.7 62.0 59.1 89.7
217 6 37 1.1 39.6 24.6 46.6
218 6 38 0.1 -1.0 -36.7 36.7
219 6 39 -1.9 36.2 4.4 36.6
220 6 40 29.5 38.7 -64.2 80.6
221 6 41 24.6 48.8 -6.4 55.0
222 6 42 42.5 27.9 2.0 50.9
223 6 43 29.4 24.8 59.7 71.0
224 6 44 28.4 26.1 28.3 47.8
225 6 45 19.2 49.2 -67.8 86.0
226 6 46 -49.2 34.8 -9.8 61.1
227 6 47 -11.0 3.2 8.6 14.3
228 6 48 -19.7 -16.1 1.8 25.5
229 7 1 -46.7 35.2 -7.8 59.0
230 7 2 -35.5 -25.0 -40.9 59.7
231 7 3 -47.8 -12.6 -49.3 69.8
232 7 4 -14.2 -92.2 6.3 93.5
233 7 5 -34.4 -47.1 -75.7 95.6
234 7 6 -66.6 -24.2 -97.1 120.2
235 7 7 -16.6 -35.1 -52.6 65.4
236 7 8 4.6 3.4 -43.7 44.1
237 7 9 47.4 -61.2 21.4 80.3
238 7 10 24.5 39.3 -17.8 49.6
239 7 11 38.8 29.1 1.1 48.5
240 7 12 15.4 43.5 49.1 67.4
241 7 13 -25.1 44.8 20.5 55.3
242 7 14 13.7 44.8 14.4 49.0
243 7 15 9.1 -3.3 -16.2 18.9
244 7 16 35.3 -71.7 -0.6 79.9
245 7 17 35.5 -18.2 -10.9 41.4
246 7 18 -21.2 50.4 -32.6 63.6
247 7 19 15.6 -2.9 39.1 42.2
248 7 20 23.8 -2.0 -2.6 24.1
249 7 21 29.6 -52.3 72.1 93.9
250 7 22 -6.9 56.5 38.1 68.5
251 7 23 91.9 28.8 89.1 131.2
252 7 24 27.8 89.4 119.5 151.8
253 7 25 86.5 83.1 99.7 156.0
254 7 26 10.7 42.1 83.8 94.4
255 7 27 -20.2 31.6 45.0 58.6
256 7 28 -18.1 -83.9 366.4 376.4
257 7 29 30.3 -40.2 56.4 75.6
258 7 30 -11.9 -4.3 36.9 39.0
259 7 31 -27.8 -3.0 -16.0 32.2
260 7 32 6.8 -32.8 -16.3 37.3
261 7 33 -10.4 -43.2 17.2 47.6
262 7 34 40.4 56.1 15.5 70.8
263 7 35 37.3 58.9 34.1 77.6
264 7 36 3.3 61.1 34.9 70.4
265 7 37 3.0 68.7 -2.7 68.8
266 7 38 -23.7 30.4 -58.4 69.9
267 7 39 30.5 79.0 -71.2 110.6
268 7 40 67.9 -19.6 48.2 85.5
269 7 41 54.8 30.3 45.9 77.6
270 7 42 54.8 16.5 18.0 60.0
271 7 43 -1.5 43.1 -21.3 48.1
272 7 44 32.5 38.6 17.0 53.3
273 7 45 -1.9 -7.1 73.0 73.4
274 7 46 44.9 29.2 40.9 67.4
275 7 47 25.7 54.2 -24.2 64.7
276 7 48 4.1 155.4 40.2 160.6
Creating sector-motor-move file
sector motor steps
1 1 1
1 2 -28
1 3 -4
1 4 -41
1 5 -7
1 6 -15
1 7 -15
1 8 -3
1 9 -14
1 10 -21
1 11 -9
1 12 -16
1 13 -12
1 14 -7
1 15 -10
1 16 -16
1 17 -10
1 18 -10
1 19 -2
1 20 10
1 21 -14
1 22 -9
1 23 -6
1 24 -12
1 25 -9
1 26 -2
1 27 0
1 28 -22
1 29 -1
1 30 1
1 31 -14
1 32 -4
1 33 -1
1 34 -9
1 35 -6
1 36 -4
1 37 -10
1 38 -5
1 39 -7
1 40 -18
1 41 -9
1 42 -1
1 43 -9
1 44 -5
1 45 0
1 46 4
1 47 -11
1 48 -7
1 49 -7
1 50 -1
1 51 -1
1 52 -7
1 53 -7
1 54 10
1 55 -8
1 56 -2
1 57 -4
1 58 9
1 59 16
1 60 3
1 61 -5
1 62 -5
1 63 -3
1 64 -7
1 65 10
1 66 -9
1 67 1
1 68 -3
1 69 1
2 1 -13
2 2 1
2 3 1
2 4 -7
2 5 2
2 6 -7
2 7 -16
2 8 -10
2 9 -5
2 10 -15
2 11 -8
2 12 -2
2 13 -29
2 14 -7
2 15 -20
2 16 -25
2 17 -5
2 18 -3
2 19 -23
2 20 -14
2 21 -10
2 22 -24
2 23 -9
2 24 -7
2 25 -14
2 26 6
2 27 -2
2 28 -9
2 29 3
2 30 -4
2 31 -2
2 32 7
2 33 1
2 34 -3
2 35 -3
2 36 4
2 37 -11
2 38 -3
2 39 -3
2 40 -8
2 41 -1
2 42 4
2 43 -13
2 44 0
2 45 0
2 46 -10
2 47 0
2 48 3
2 49 -4
2 50 3
2 51 1
2 52 -1
2 53 -5
2 54 14
2 55 -4
2 56 3
2 57 -2
2 58 3
2 59 23
2 60 10
2 61 -5
2 62 0
2 63 -2
2 64 1
2 65 15
2 66 -8
2 67 1
2 68 0
2 69 1
3 1 15
3 2 13
3 3 4
3 4 3
3 5 8
3 6 9
3 7 0
3 8 8
3 9 11
3 10 8
3 11 8
3 12 13
3 13 -5
3 14 12
3 15 7
3 16 -3
3 17 12
3 18 -13
3 19 6
3 20 -18
3 21 14
3 22 -10
3 23 0
3 24 -1
3 25 3
3 26 18
3 27 2
3 28 -18
3 29 17
3 30 -3
3 31 8
3 32 4
3 33 4
3 34 -13
3 35 -5
3 36 4
3 37 -6
3 38 2
3 39 -2
3 40 -9
3 41 1
3 42 -2
3 43 4
3 44 1
3 45 3
3 46 -2
3 47 -2
3 48 1
3 49 -8
3 50 -1
3 51 2
3 52 10
3 53 2
3 54 16
3 55 -2
3 56 0
3 57 4
3 58 4
3 59 27
3 60 11
3 61 -7
3 62 -1
3 63 6
3 64 -1
3 65 19
3 66 2
3 67 -1
3 68 14
3 69 0
4 1 0
4 2 -21
4 3 10
4 4 -15
4 5 10
4 6 -2
4 7 -4
4 8 -1
4 9 2
4 10 -7
4 11 4
4 12 -2
4 13 4
4 14 13
4 15 4
4 16 -3
4 17 4
4 18 7
4 19 6
4 20 13
4 21 -7
4 22 -5
4 23 8
4 24 8
4 25 3
4 26 5
4 27 1
4 28 -5
4 29 0
4 30 -11
4 31 -4
4 32 0
4 33 2
4 34 -6
4 35 -5
4 36 -10
4 37 3
4 38 7
4 39 3
4 40 -12
4 41 -3
4 42 4
4 43 3
4 44 10
4 45 3
4 46 18
4 47 -7
4 48 -3
4 49 -6
4 50 1
4 51 -1
4 52 -4
4 53 3
4 54 28
4 55 -11
4 56 0
4 57 7
4 58 16
4 59 36
4 60 12
4 61 -6
4 62 2
4 63 -1
4 64 -2
4 65 8
4 66 6
4 67 -6
4 68 0
4 69 1
5 1 0
5 2 0
5 3 7
5 4 9
5 5 2
5 6 -8
5 7 11
5 8 0
5 9 4
5 10 -7
5 11 -4
5 12 10
5 13 -10
5 14 15
5 15 -6
5 16 -58
5 17 1
5 18 1
5 19 -3
5 20 -5
5 21 10
5 22 -8
5 23 0
5 24 -3
5 25 -10
5 26 -7
5 27 -12
5 28 -13
5 29 -2
5 30 2
5 31 -11
5 32 -3
5 33 -4
5 34 -7
5 35 -5
5 36 -1
5 37 35
5 38 -2
5 39 1
5 40 4
5 41 -4
5 42 3
5 43 14
5 44 7
5 45 -4
5 46 -8
5 47 -4
5 48 -6
5 49 -10
5 50 2
5 51 6
5 52 5
5 53 1
5 54 13
5 55 -2
5 56 2
5 57 4
5 58 7
5 59 25
5 60 17
5 61 -8
5 62 0
5 63 9
5 64 -3
5 65 16
5 66 2
5 67 -1
5 68 0
5 69 -7
6 1 36
6 2 27
6 3 8
6 4 5
6 5 2
6 6 0
6 7 27
6 8 8
6 9 28
6 10 13
6 11 0
6 12 9
6 13 11
6 14 17
6 15 -2
6 16 0
6 17 24
6 18 -2
6 19 22
6 20 -16
6 21 9
6 22 -13
6 23 -2
6 24 -17
6 25 9
6 26 -1
6 27 0
6 28 -2
6 29 -8
6 30 -16
6 31 7
6 32 -2
6 33 -13
6 34 -7
6 35 -11
6 36 -14
6 37 -7
6 38 -3
6 39 -9
6 40 25
6 41 -9
6 42 -20
6 43 -7
6 44 -2
6 45 -2
6 46 -9
6 47 -6
6 48 -8
6 49 -9
6 50 0
6 51 -1
6 52 -7
6 53 -4
6 54 7
6 55 -4
6 56 0
6 57 0
6 58 14
6 59 26
6 60 13
6 61 -8
6 62 -3
6 63 -4
6 64 2
6 65 10
6 66 -1
6 67 -7
6 68 -4
6 69 3
7 1 100
7 2 -25
7 3 -5
7 4 -21
7 5 -7
7 6 -13
7 7 13
7 8 9
7 9 -6
7 10 -9
7 11 -3
7 12 -21
7 13 25
7 14 12
7 15 3
7 16 -1
7 17 -6
7 18 -5
7 19 30
7 20 25
7 21 26
7 22 -6
7 23 2
7 24 -14
7 25 -8
7 26 -6
7 27 -9
7 28 -8
7 29 -11
7 30 -13
7 31 -19
7 32 -9
7 33 -12
7 34 -4
7 35 -8
7 36 -12
7 37 0
7 38 -6
7 39 -15
7 40 -20
7 41 -15
7 42 -12
7 43 -1
7 44 -2
7 45 -2
7 46 0
7 47 -7
7 48 -23
7 49 -14
7 50 -7
7 51 -12
7 52 -1
7 53 -8
7 54 3
7 55 -8
7 56 -6
7 57 -9
7 58 14
7 59 12
7 60 7
7 61 -9
7 62 -5
7 63 -3
7 64 -5
7 65 9
7 66 -3
7 67 -15
7 68 -7
7 69 -3
8 1 -4
8 2 -10
8 3 2
8 4 5
8 5 -6
8 6 -10
8 7 -4
8 8 0
8 9 -8
8 10 2
8 11 0
8 12 -9
8 13 11
8 14 -1
8 15 -3
8 16 19
8 17 1
8 18 -9
8 19 17
8 20 -12
8 21 9
8 22 -5
8 23 7
8 24 -21
8 25 -4
8 26 0
8 27 -11
8 28 -1
8 29 -3
8 30 -13
8 31 -9
8 32 -8
8 33 -12
8 34 -7
8 35 -7
8 36 -11
8 37 7
8 38 -8
8 39 -6
8 40 -3
8 41 -9
8 42 -12
8 43 -11
8 44 -6
8 45 -3
8 46 -26
8 47 -7
8 48 -19
8 49 -10
8 50 -4
8 51 -11
8 52 -6
8 53 -4
8 54 9
8 55 -11
8 56 -8
8 57 -7
8 58 13
8 59 12
8 60 12
8 61 -5
8 62 -9
8 63 -8
8 64 -5
8 65 10
8 66 -14
8 67 -12
8 68 -5
8 69 -7
9 1 10
9 2 18
9 3 1
9 4 18
9 5 19
9 6 8
9 7 10
9 8 18
9 9 11
9 10 12
9 11 6
9 12 5
9 13 4
9 14 17
9 15 12
9 16 -5
9 17 13
9 18 -19
9 19 5
9 20 -13
9 21 -3
9 22 -20
9 23 8
9 24 -11
9 25 5
9 26 9
9 27 -1
9 28 -9
9 29 1
9 30 -13
9 31 7
9 32 6
9 33 2
9 34 -16
9 35 0
9 36 -3
9 37 -3
9 38 0
9 39 -2
9 40 -6
9 41 0
9 42 -1
9 43 2
9 44 10
9 45 1
9 46 -2
9 47 0
9 48 -14
9 49 -12
9 50 0
9 51 2
9 52 -9
9 53 -1
9 54 10
9 55 2
9 56 0
9 57 1
9 58 5
9 59 5
9 60 5
9 61 0
9 62 -3
9 63 0
9 64 -4
9 65 6
9 66 -5
9 67 -5
9 68 -3
9 69 4
10 1 14
10 2 -6
10 3 20
10 4 -19
10 5 11
10 6 9
10 7 -21
10 8 24
10 9 9
10 10 1
10 11 11
10 12 0
10 13 -17
10 14 9
10 15 -7
10 16 -11
10 17 0
10 18 0
10 19 0
10 20 21
10 21 0
10 22 7
10 23 12
10 24 0
10 25 0
10 26 9
10 27 -6
10 28 -10
10 29 2
10 30 2
10 31 3
10 32 13
10 33 0
10 34 -2
10 35 -2
10 36 -5
10 37 -3
10 38 1
10 39 -8
10 40 -20
10 41 -6
10 42 -1
10 43 -3
10 44 16
10 45 3
10 46 -6
10 47 4
10 48 -6
10 49 -9
10 50 -5
10 51 0
10 52 -6
10 53 -5
10 54 11
10 55 -6
10 56 0
10 57 -2
10 58 8
10 59 20
10 60 7
10 61 -15
10 62 -4
10 63 -3
10 64 2
10 65 1
10 66 -6
10 67 -12
10 68 1
10 69 0
11 1 5
11 2 11
11 3 9
11 4 8
11 5 8
11 6 8
11 7 -6
11 8 13
11 9 0
11 10 18
11 11 7
11 12 9
11 13 5
11 14 5
11 15 16
11 16 0
11 17 8
11 18 13
11 19 14
11 20 9
11 21 16
11 22 -1
11 23 14
11 24 7
11 25 -4
11 26 3
11 27 0
11 28 -7
11 29 2
11 30 -3
11 31 -8
11 32 2
11 33 2
11 34 -9
11 35 0
11 36 -8
11 37 -6
11 38 3
11 39 -5
11 40 -11
11 41 1
11 42 -2
11 43 9
11 44 16
11 45 11
11 46 -7
11 47 10
11 48 -4
11 49 -9
11 50 0
11 51 -3
11 52 -17
11 53 -16
11 54 12
11 55 -4
11 56 0
11 57 4
11 58 14
11 59 25
11 60 13
11 61 -4
11 62 0
11 63 2
11 64 -7
11 65 11
11 66 -6
11 67 -4
11 68 -6
11 69 1
12 1 12
12 2 47
12 3 1
12 4 0
12 5 -4
12 6 -6
12 7 -7
12 8 16
12 9 7
12 10 2
12 11 0
12 12 -3
12 13 12
12 14 8
12 15 13
12 16 -3
12 17 10
12 18 -15
12 19 22
12 20 -2
12 21 0
12 22 -20
12 23 15
12 24 5
12 25 -7
12 26 0
12 27 -4
12 28 -5
12 29 -12
12 30 -12
12 31 4
12 32 -7
12 33 -9
12 34 -10
12 35 -8
12 36 -5
12 37 -6
12 38 -1
12 39 0
12 40 -10
12 41 -6
12 42 -3
12 43 -4
12 44 5
12 45 4
12 46 -7
12 47 0
12 48 1
12 49 -13
12 50 -10
12 51 -16
12 52 -9
12 53 -9
12 54 10
12 55 -12
12 56 -7
12 57 -6
12 58 6
12 59 25
12 60 8
12 61 -13
12 62 -6
12 63 -1
12 64 -12
12 65 21
12 66 -8
12 67 -20
12 68 -9
12 69 -9
!!!Warning!!! Truncated 1 recommended moves exceeding 100 steps
!!!Warning!!! sector 7 motor 1:: move = 112
Adjuster movements: rms = 36.8 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20071003-151741
Creating HTML output file of plots
Plotting summary text