![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20071003-102029.fits
Reduced on 20071003-111301 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 | rxh3-20071003-102029.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: 20071003-111301
Reading data from rxh3-20071003-102029.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 = 2426.4 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 -3.10547 3.17383 0.02580
loimag -3.30811 3.07861 -0.05181
hireal -5.00000 4.99756 0.88739
hiimag -5.00000 4.99756 -0.05094
xpos -2426.41701 2418.94046 -7.77576
ypos -2403.21982 2403.18636 0.00026
plock160 1.42578 2.50977 2.01677
lorefpwr 0.47119 1.61621 1.23516
losigpwr -4.58740 -0.18311 -4.41904
hirefpwr 0.54199 1.66748 1.28917
hisigpwr -4.48975 4.99756 -0.61713
encltemp 32.15332 34.79004 32.70656
flags 0.00000 256.00000 2.76738
phi-lock -1.18652 -0.08789 -0.66205
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.00345 1473.10580
zeropt 0.00000 0.00488 0.00247
!!!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 = 40.00648 arcsec
Mean row spacing = 40.00649 arcsec (alternate estimator)
Mean tracking incline = -0.06866 arcsec
Mean pointing range = 0.58105 arcsec
Mean pointing rms = 0.10365 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: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22680 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 = 2426.42 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 = 3.03138 at (0.0, -40.010952902519172) arcsec
Real: mean = -0.00209377 sum of squares = 822.982
Imag: mean = -0.0031197 sum of squares = 1016.54
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 = 3.04039 at (0.0, -40.010454913186891) arcsec
Real: mean = -0.00184947 sum of squares = 827.829
Imag: mean = -0.00327577 sum of squares = 1011.4
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 = 3.05938 at (0.0, -40.009956936250724) arcsec
Real: mean = -0.0015664 sum of squares = 850.63
Imag: mean = -0.0033996 sum of squares = 987.985
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 = 3.07626 at (0.0, -40.0089610195649) arcsec
Real: mean = -0.00091524 sum of squares = 930.813
Imag: mean = -0.00337449 sum of squares = 907.78
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 = 3.12326 at (0.0, -40.007965152457999) arcsec
Real: mean = -0.000419052 sum of squares = 1001.79
Imag: mean = -0.00301812 sum of squares = 837.038
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 = 3.13793 at (0.0, -40.00746723749549) arcsec
Real: mean = -0.000257604 sum of squares = 1015.33
Imag: mean = -0.00279567 sum of squares = 823.404
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 = 3.14684 at (0.0, -40.006969334926325) arcsec
Real: mean = -0.000153829 sum of squares = 1009.89
Imag: mean = -0.00251419 sum of squares = 829.652
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 = 3.18421 at (0.0, -40.005973566966176) arcsec
Real: mean = -0.000165603 sum of squares = 951.415
Imag: mean = -0.00193803 sum of squares = 889.164
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 = 3.18133 at (0.0, -40.004977848573851) arcsec
Real: mean = -0.000383416 sum of squares = 874.931
Imag: mean = -0.00151171 sum of squares = 968.314
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 = 3.17939 at (0.0, -40.004480007964467) arcsec
Real: mean = -0.000549467 sum of squares = 846.12
Imag: mean = -0.00140455 sum of squares = 998.54
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 = 3.17988 at (0.0, -40.003982179745641) arcsec
Real: mean = -0.000720603 sum of squares = 830.999
Imag: mean = -0.00128738 sum of squares = 1015.18
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 = 3.15326 at (0.0, -40.002986560477851) arcsec
Real: mean = -0.00109981 sum of squares = 847.093
Imag: mean = -0.00114601 sum of squares = 1000.13
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 = 3.1361 at (0.0, -40.001990990766792) arcsec
Real: mean = -0.00154174 sum of squares = 915.606
Imag: mean = -0.00106793 sum of squares = 934.174
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 = 3.1245 at (0.0, -40.001493224493863) arcsec
Real: mean = -0.00178485 sum of squares = 954.907
Imag: mean = -0.00115117 sum of squares = 895.365
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 = 3.10817 at (0.0, -40.000995470608736) arcsec
Real: mean = -0.00200246 sum of squares = 989.27
Imag: mean = -0.00128452 sum of squares = 861.997
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 = 3.102 at (0.0, -40.0) arcsec
Real: mean = -0.00244686 sum of squares = 1019.14
Imag: mean = -0.00171409 sum of squares = 833.676
Masking frequency index 0
Mask scale size = 3.06
Masking frequency index 1
Mask scale size = 3.06004
Masking frequency index 2
Mask scale size = 3.06007
Masking frequency index 3
Mask scale size = 3.06015
Masking frequency index 4
Mask scale size = 3.06023
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 = 3.06038
Masking frequency index 8
Mask scale size = 3.06046
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 = 3.06061
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 = 3.06076
Masking frequency index 15
Mask scale size = 3.06084
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.244141
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.0544 99.447
Freq 1: Shift, scale = -1.2767 99.448
Freq 2: Shift, scale = -1.4986 99.544
Freq 3: Shift, scale = -1.9433 100.12
Freq 4: Shift, scale = -2.3838 101.09
Freq 5: Shift, scale = -2.6053 101.61
Freq 6: Shift, scale = -2.8242 102.16
Freq 7: Shift, scale = 3.0249 103.18
Freq 8: Shift, scale = 2.5954 104.29
Freq 9: Shift, scale = 2.3797 104.92
Freq 10: Shift, scale = 2.1649 105.31
Freq 11: Shift, scale = 1.7309 105.56
Freq 12: Shift, scale = 1.2954 105
Freq 13: Shift, scale = 1.0774 104.45
Freq 14: Shift, scale = 0.8582 103.55
Freq 15: Shift, scale = 0.42309 101.75
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: -0.369 radians
x offset: 9.37 arcsec
y offset: 14.5 arcsec
defocus: 0.421 mm
Estimated x pointing error is 9.372 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.53 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.921 mm (used 2.5 mm)
Fitting frequency 1
Minimiser fit code = 2
piston: -0.374 radians
x offset: 9.41 arcsec
y offset: 14.5 arcsec
defocus: 0.42 mm
Estimated x pointing error is 9.414 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.52 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.92 mm (used 2.5 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.378 radians
x offset: 9.45 arcsec
y offset: 14.5 arcsec
defocus: 0.418 mm
Estimated x pointing error is 9.452 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.51 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.918 mm (used 2.5 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.389 radians
x offset: 9.53 arcsec
y offset: 14.5 arcsec
defocus: 0.416 mm
Estimated x pointing error is 9.529 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.49 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 4
Minimiser fit code = 3
piston: -0.394 radians
x offset: 9.61 arcsec
y offset: 14.5 arcsec
defocus: 0.414 mm
Estimated x pointing error is 9.612 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.47 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.914 mm (used 2.5 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.397 radians
x offset: 9.66 arcsec
y offset: 14.5 arcsec
defocus: 0.415 mm
Estimated x pointing error is 9.656 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.46 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.915 mm (used 2.5 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.398 radians
x offset: 9.69 arcsec
y offset: 14.4 arcsec
defocus: 0.413 mm
Estimated x pointing error is 9.686 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.44 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 7
Minimiser fit code = 3
piston: -0.398 radians
x offset: 9.77 arcsec
y offset: 14.4 arcsec
defocus: 0.411 mm
Estimated x pointing error is 9.77 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.43 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.911 mm (used 2.5 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.353 radians
x offset: 8.92 arcsec
y offset: 14.3 arcsec
defocus: 0.443 mm
Estimated x pointing error is 8.92 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.34 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.943 mm (used 2.5 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.352 radians
x offset: 8.96 arcsec
y offset: 14.3 arcsec
defocus: 0.441 mm
Estimated x pointing error is 8.962 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.35 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.941 mm (used 2.5 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.35 radians
x offset: 8.99 arcsec
y offset: 14.4 arcsec
defocus: 0.439 mm
Estimated x pointing error is 8.986 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.35 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.939 mm (used 2.5 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.348 radians
x offset: 9.03 arcsec
y offset: 14.4 arcsec
defocus: 0.436 mm
Estimated x pointing error is 9.032 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.37 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.936 mm (used 2.5 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.349 radians
x offset: 9.08 arcsec
y offset: 14.4 arcsec
defocus: 0.432 mm
Estimated x pointing error is 9.079 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.39 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.932 mm (used 2.5 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.349 radians
x offset: 9.11 arcsec
y offset: 14.4 arcsec
defocus: 0.43 mm
Estimated x pointing error is 9.108 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.41 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 14
Minimiser fit code = 3
piston: -0.351 radians
x offset: 9.14 arcsec
y offset: 14.4 arcsec
defocus: 0.428 mm
Estimated x pointing error is 9.138 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.41 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.928 mm (used 2.5 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.351 radians
x offset: 9.2 arcsec
y offset: 14.4 arcsec
defocus: 0.424 mm
Estimated x pointing error is 9.201 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in azimuth > 5.0 arcsec
Estimated y pointing error is 14.43 arcsec (used 0 arcsec)
!!!Warning!!! Pointing error in elevation > 5.0 arcsec
Estimated defocus error is 2.924 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 -0.00051 piston
1 1 -0.01655 tilt_x
1 -1 -0.00642 tilt_y
2 2 0.08165 astigmatism_0
2 0 0.00427 curvature
2 -2 0.04347 astigmatism45
3 3 0.02886 trefoil_0
3 1 -0.04210 coma_x
3 -1 -0.03079 coma_y
3 -3 -0.01530 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 -0.00052 piston
1 1 -0.01529 tilt_x
1 -1 -0.00716 tilt_y
2 2 0.08019 astigmatism_0
2 0 0.00422 curvature
2 -2 0.04461 astigmatism45
3 3 0.02697 trefoil_0
3 1 -0.03866 coma_x
3 -1 -0.03241 coma_y
3 -3 -0.01483 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 -0.00049 piston
1 1 -0.01435 tilt_x
1 -1 -0.00780 tilt_y
2 2 0.07846 astigmatism_0
2 0 0.00420 curvature
2 -2 0.04445 astigmatism45
3 3 0.02557 trefoil_0
3 1 -0.03620 coma_x
3 -1 -0.03388 coma_y
3 -3 -0.01408 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 -0.00038 piston
1 1 -0.01288 tilt_x
1 -1 -0.00920 tilt_y
2 2 0.07520 astigmatism_0
2 0 0.00436 curvature
2 -2 0.04500 astigmatism45
3 3 0.02220 trefoil_0
3 1 -0.03213 coma_x
3 -1 -0.03716 coma_y
3 -3 -0.01279 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 -0.00024 piston
1 1 -0.01141 tilt_x
1 -1 -0.01083 tilt_y
2 2 0.07152 astigmatism_0
2 0 0.00463 curvature
2 -2 0.04510 astigmatism45
3 3 0.01890 trefoil_0
3 1 -0.02785 coma_x
3 -1 -0.04118 coma_y
3 -3 -0.01152 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 -0.00017 piston
1 1 -0.01040 tilt_x
1 -1 -0.01140 tilt_y
2 2 0.06985 astigmatism_0
2 0 0.00479 curvature
2 -2 0.04491 astigmatism45
3 3 0.01755 trefoil_0
3 1 -0.02486 coma_x
3 -1 -0.04248 coma_y
3 -3 -0.01144 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 -0.00014 piston
1 1 -0.00939 tilt_x
1 -1 -0.01173 tilt_y
2 2 0.06843 astigmatism_0
2 0 0.00482 curvature
2 -2 0.04524 astigmatism45
3 3 0.01705 trefoil_0
3 1 -0.02175 coma_x
3 -1 -0.04319 coma_y
3 -3 -0.01117 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 -0.00002 piston
1 1 -0.00668 tilt_x
1 -1 -0.01220 tilt_y
2 2 0.06476 astigmatism_0
2 0 0.00505 curvature
2 -2 0.04368 astigmatism45
3 3 0.01489 trefoil_0
3 1 -0.01372 coma_x
3 -1 -0.04395 coma_y
3 -3 -0.01153 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 -0.00102 piston
1 1 -0.03719 tilt_x
1 -1 -0.00547 tilt_y
2 2 0.11430 astigmatism_0
2 0 0.00320 curvature
2 -2 0.04061 astigmatism45
3 3 0.05305 trefoil_0
3 1 -0.10287 coma_x
3 -1 -0.03559 coma_y
3 -3 -0.02122 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 -0.00096 piston
1 1 -0.03550 tilt_x
1 -1 -0.00544 tilt_y
2 2 0.11238 astigmatism_0
2 0 0.00339 curvature
2 -2 0.04016 astigmatism45
3 3 0.05066 trefoil_0
3 1 -0.09809 coma_x
3 -1 -0.03508 coma_y
3 -3 -0.02199 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 -0.00092 piston
1 1 -0.03408 tilt_x
1 -1 -0.00532 tilt_y
2 2 0.11104 astigmatism_0
2 0 0.00355 curvature
2 -2 0.03992 astigmatism45
3 3 0.04960 trefoil_0
3 1 -0.09398 coma_x
3 -1 -0.03466 coma_y
3 -3 -0.02321 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 -0.00082 piston
1 1 -0.03227 tilt_x
1 -1 -0.00478 tilt_y
2 2 0.10829 astigmatism_0
2 0 0.00392 curvature
2 -2 0.03891 astigmatism45
3 3 0.04569 trefoil_0
3 1 -0.08893 coma_x
3 -1 -0.03264 coma_y
3 -3 -0.02362 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 -0.00069 piston
1 1 -0.03064 tilt_x
1 -1 -0.00486 tilt_y
2 2 0.10557 astigmatism_0
2 0 0.00432 curvature
2 -2 0.03827 astigmatism45
3 3 0.04285 trefoil_0
3 1 -0.08397 coma_x
3 -1 -0.03216 coma_y
3 -3 -0.02428 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 -0.00062 piston
1 1 -0.02998 tilt_x
1 -1 -0.00510 tilt_y
2 2 0.10372 astigmatism_0
2 0 0.00454 curvature
2 -2 0.03804 astigmatism45
3 3 0.04126 trefoil_0
3 1 -0.08207 coma_x
3 -1 -0.03248 coma_y
3 -3 -0.02348 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 -0.00056 piston
1 1 -0.02915 tilt_x
1 -1 -0.00500 tilt_y
2 2 0.10197 astigmatism_0
2 0 0.00467 curvature
2 -2 0.03751 astigmatism45
3 3 0.03910 trefoil_0
3 1 -0.07952 coma_x
3 -1 -0.03170 coma_y
3 -3 -0.02233 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 -0.00041 piston
1 1 -0.02679 tilt_x
1 -1 -0.00514 tilt_y
2 2 0.09793 astigmatism_0
2 0 0.00490 curvature
2 -2 0.03586 astigmatism45
3 3 0.03517 trefoil_0
3 1 -0.07247 coma_x
3 -1 -0.03097 coma_y
3 -3 -0.02090 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: 35.6 26.2 29.1 37.8 29.8 38.8 43.5 37.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.6 23.6 28.4 36.6 26.5 34.9 42.6 35.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.03 5.77 7.57 8.88 10.5 13.7 19.6 13.2
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.3 26.2 35.9 36.2 29.7 39 43.8 38
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.4 23.6 35.4 35 26.5 34.9 42.9 36
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.93 5.59 7.36 8.7 10.3 13.5 19.3 13
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.1 26.4 28.4 35.4 29.6 39.1 44.1 37.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.2 23.9 26.9 34.2 26.6 35 43.2 35.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.88 5.5 7.24 8.55 10.1 13.2 18.9 12.7
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35 27 24.9 34.6 29.4 38.8 44.9 36.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 24.5 23.3 33.4 26.5 34.7 44 34.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.85 5.44 7.15 8.39 9.83 12.8 18.3 12.3
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.5 27.8 24.8 35 29.1 38.2 45.6 37
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 25.4 23.1 34 26.5 34.2 44.3 34.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.88 5.48 7.16 8.3 9.54 12.3 17.7 12
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 28.4 25.1 35.8 29.1 37.8 45.8 37.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.3 26 23.5 34.9 26.5 33.9 44.4 35.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.85 5.42 7.08 8.19 9.38 12.1 17.3 11.7
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.7 28.9 25.3 37.2 29.2 37.4 45.9 37.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 26.6 23.7 36.4 26.7 33.7 44.4 35.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.8 5.33 6.97 8.06 9.25 11.9 17.1 11.6
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 29.4 25.2 42.9 29.7 36.8 45.8 38.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.5 27.5 23.9 42.2 27.4 33.4 44 36.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.67 5.07 6.64 7.68 8.81 11.3 16.2 11
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.5 28.7 23.8 45.6 30 37.4 47.7 39.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 26.2 25.2 45.7 28.9 33.2 45.5 37.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6.27 11.7 14.7 15.6 15.5 18.7 29 19.8
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.3 28.9 23.7 42.9 30 37.2 47.4 38.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 26.2 24.8 42.9 28.8 33 45.1 37
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 6 11.2 14.1 15 15.1 18.3 28.3 19.3
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 28.8 23.6 41 30.1 37.2 47 38.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.9 26.2 24.5 41 28.7 33 44.6 36.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.77 10.8 13.6 14.6 14.8 18.1 27.8 18.9
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 28.3 23.1 38 29.8 37.4 46 37.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.6 25.6 23.6 38.3 28 33.2 43.9 35.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.46 10.2 12.9 13.9 14.3 17.5 26.8 18.2
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.5 27.7 21.9 35.9 29.5 37.7 45.1 37.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 24.9 21.7 36.5 27.2 33.5 43.2 35.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.18 9.72 12.3 13.3 13.8 17.1 25.9 17.6
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34 27.3 22.7 35.2 29.4 38.1 44.8 37.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 24.4 22.3 35.8 26.9 33.9 43.1 35.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 5.09 9.55 12.1 13.1 13.6 16.7 25.4 17.3
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.8 26.9 23.3 34.6 29.4 38.4 44.5 37
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.4 23.9 22.8 35.3 26.8 34.1 43 35.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.94 9.26 11.7 12.7 13.3 16.4 24.8 16.9
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.2 26.2 24 33.7 29.6 38.9 44.3 37
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.9 23.2 23.4 34.1 26.6 34.7 43 35.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.55 8.55 10.9 11.9 12.6 15.6 23.5 16
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 26.3 19.7 24.6 27.4 36.4 43.3 34
Mean deviation is 0.021179304384193798 microns
Taper = 10 dB, Ruze illumination-weighted rms = 33.0 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 = 30.0 micron
Centre pixel: 64.0 64.0 Value = 2652.29 (estimate), 3708.08 (perfect)
Strehl = 0.511616
Strehl ratio estimate = 0.5116
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 = 29.2 micron
Centre pixel: 64.0 64.0 Value = 2023.04 (estimate), 3708.08 (perfect)
Strehl = 0.297653
Strehl ratio estimate = 0.2977
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 32.1 17.3 -10.0 37.8
2 1 2 66.6 -16.0 21.9 71.9
3 1 3 85.1 5.7 39.7 94.1
4 1 4 109.7 53.6 26.2 124.8
5 1 5 64.3 18.7 61.7 91.0
6 1 6 67.4 44.4 46.5 93.1
7 1 7 13.1 46.2 9.4 48.9
8 1 8 0.7 42.9 33.1 54.2
9 1 9 -1.2 -3.4 23.0 23.3
10 1 10 55.7 28.4 17.3 64.9
11 1 11 74.4 35.2 1.6 82.3
12 1 12 60.8 -0.4 16.5 63.0
13 2 1 22.9 -55.0 -40.9 72.3
14 2 2 22.7 -45.5 -38.3 63.6
15 2 3 47.6 -30.9 -40.7 69.8
16 2 4 10.8 -16.8 -11.0 22.8
17 2 5 51.7 -15.0 -5.0 54.0
18 2 6 49.7 -13.0 15.9 53.8
19 2 7 28.9 -14.8 8.6 33.6
20 2 8 87.8 -6.0 -16.9 89.6
21 2 9 52.7 -3.8 15.8 55.1
22 2 10 49.8 10.5 21.6 55.3
23 2 11 39.2 -10.4 4.2 40.8
24 2 12 27.2 -7.2 -25.4 37.8
25 2 13 28.9 13.7 -9.8 33.5
26 2 14 14.5 -29.4 1.4 32.8
27 2 15 31.5 -11.0 -42.3 53.9
28 2 16 5.3 1.6 -15.0 16.0
29 2 17 11.2 -22.2 -9.7 26.7
30 2 18 30.8 -6.5 -33.9 46.2
31 2 19 -0.5 -19.0 -26.0 32.3
32 2 20 39.8 -36.9 -37.1 65.7
33 2 21 20.4 -3.6 -45.4 49.9
34 2 22 0.9 -63.8 -68.6 93.6
35 2 23 55.1 -34.5 -38.7 75.7
36 2 24 19.0 -46.7 -55.9 75.2
37 3 1 -9.1 -17.8 -24.6 31.6
38 3 2 -27.2 -4.0 -46.3 53.9
39 3 3 -5.7 -1.1 -37.4 37.9
40 3 4 -0.7 -7.6 -17.0 18.6
41 3 5 -14.1 0.4 -28.9 32.2
42 3 6 -19.9 14.8 -24.1 34.5
43 3 7 -0.3 14.8 -20.7 25.5
44 3 8 1.7 -7.0 -0.7 7.2
45 3 9 8.1 -11.3 -34.4 37.1
46 3 10 9.8 4.8 -20.8 23.5
47 3 11 0.7 3.6 -26.9 27.2
48 3 12 14.4 8.2 -22.0 27.6
49 3 13 1.8 2.2 -13.1 13.4
50 3 14 22.0 10.4 -33.4 41.3
51 3 15 -2.7 13.7 -15.9 21.2
52 3 16 9.7 8.6 -25.5 28.6
53 3 17 37.6 11.5 -20.0 44.1
54 3 18 22.5 26.4 -5.7 35.2
55 3 19 32.5 28.8 -26.8 51.1
56 3 20 -17.2 12.6 -0.9 21.4
57 3 21 -11.5 5.6 -12.1 17.6
58 3 22 8.4 18.5 6.2 21.3
59 3 23 -0.5 19.0 -14.9 24.2
60 3 24 16.5 0.9 -8.1 18.4
61 3 25 -8.6 -3.4 -15.0 17.7
62 3 26 -27.7 -2.5 -7.9 28.9
63 3 27 -37.1 -5.8 -35.0 51.3
64 3 28 -15.8 -9.8 -42.4 46.3
65 3 29 -30.4 -18.2 -13.9 38.0
66 3 30 -14.0 -11.7 -41.0 44.9
67 3 31 -28.6 1.6 -35.4 45.6
68 3 32 -19.5 -8.6 -35.9 41.7
69 3 33 -0.9 -0.4 2.7 2.9
70 3 34 8.8 15.2 4.9 18.2
71 3 35 -5.1 22.7 -27.9 36.4
72 3 36 23.6 -2.0 -5.4 24.3
73 3 37 -19.3 -6.2 -57.9 61.3
74 3 38 -23.8 12.1 -27.9 38.6
75 3 39 -9.9 -2.3 -53.3 54.3
76 3 40 -25.3 1.0 -66.8 71.4
77 3 41 -6.2 -3.2 -20.5 21.7
78 3 42 3.5 5.0 -20.7 21.6
79 3 43 -23.1 6.1 -32.9 40.6
80 3 44 -2.0 -17.9 -15.3 23.6
81 3 45 -10.1 -18.2 -55.2 59.0
82 3 46 -25.2 -18.6 -51.5 60.3
83 3 47 -66.0 -26.8 -57.4 91.5
84 3 48 -24.9 -31.6 -76.9 86.8
85 4 1 -37.1 -42.1 4.1 56.3
86 4 2 -9.9 -33.0 -84.3 91.1
87 4 3 -19.4 -20.9 -45.6 53.8
88 4 4 -9.7 -5.1 -80.3 81.1
89 4 5 6.3 -4.8 -35.7 36.6
90 4 6 5.9 2.8 -43.0 43.5
91 4 7 6.5 -3.3 -16.7 18.2
92 4 8 -25.7 8.0 -43.2 50.9
93 4 9 -11.4 -2.0 -17.2 20.7
94 4 10 -22.0 11.4 -42.5 49.2
95 4 11 -5.0 -8.5 -56.6 57.5
96 4 12 -18.5 51.8 -51.5 75.4
97 4 13 6.5 22.9 19.7 30.9
98 4 14 25.2 1.5 -43.0 49.9
99 4 15 -27.3 -4.5 -15.2 31.6
100 4 16 -37.1 18.6 -23.5 47.7
101 4 17 -21.6 -1.3 -24.8 32.9
102 4 18 17.0 11.0 17.7 26.9
103 4 19 -3.0 2.6 -18.6 19.1
104 4 20 16.6 11.4 -43.4 47.8
105 4 21 -15.1 -1.4 -30.8 34.3
106 4 22 -53.3 -7.6 87.9 103.1
107 4 23 -24.6 -20.1 -24.6 40.2
108 4 24 -39.0 -15.6 -6.4 42.5
109 4 25 -59.8 -11.1 -4.3 60.9
110 4 26 -14.1 -35.0 -72.7 81.9
111 4 27 -29.3 -10.4 -22.2 38.2
112 4 28 -32.4 -19.9 -30.2 48.5
113 4 29 -47.2 -8.3 -89.6 101.6
114 4 30 -42.0 -8.8 -0.9 42.9
115 4 31 -44.4 -1.6 -17.7 47.9
116 4 32 -43.3 -2.0 2.1 43.4
117 4 33 -48.9 19.9 -2.1 52.8
118 4 34 -8.3 2.7 -24.8 26.3
119 4 35 11.6 19.2 -42.8 48.4
120 4 36 -33.6 11.8 -19.0 40.4
121 4 37 -31.5 22.1 -33.5 51.0
122 4 38 -9.4 -3.5 -76.7 77.3
123 4 39 -30.4 6.7 -26.0 40.5
124 4 40 -7.3 9.1 -53.5 54.7
125 4 41 -27.4 38.6 -44.5 65.0
126 4 42 -11.1 5.4 -56.1 57.5
127 4 43 -48.2 -1.9 -64.2 80.3
128 4 44 -22.3 1.5 -47.3 52.3
129 4 45 -5.1 -2.1 -59.3 59.6
130 4 46 -25.8 -31.8 -62.5 74.8
131 4 47 -22.2 -32.9 -63.3 74.8
132 4 48 -59.4 -42.8 -39.5 83.2
133 5 1 3.8 -13.8 -43.7 46.0
134 5 2 -25.0 -15.8 -46.9 55.5
135 5 3 -12.0 -11.5 -56.6 59.0
136 5 4 -11.5 -5.8 -32.4 34.8
137 5 5 -10.1 -1.8 -59.3 60.2
138 5 6 -17.6 -3.3 -48.1 51.4
139 5 7 0.8 35.5 -4.9 35.8
140 5 8 -12.7 23.7 -48.2 55.2
141 5 9 15.8 7.9 11.9 21.3
142 5 10 -11.5 18.8 -17.4 28.1
143 5 11 12.0 22.9 29.7 39.3
144 5 12 0.5 75.2 6.3 75.4
145 5 13 18.0 53.1 6.1 56.4
146 5 14 12.0 36.2 12.4 40.1
147 5 15 6.3 20.8 -18.6 28.6
148 5 16 7.6 39.2 14.8 42.5
149 5 17 -5.7 44.0 45.6 63.6
150 5 18 14.2 6.8 115.1 116.2
151 5 19 -12.9 2.6 -49.4 51.1
152 5 20 -32.7 -23.3 -46.5 61.4
153 5 21 -2.2 -4.9 -29.5 30.0
154 5 22 -21.3 -1.9 -37.9 43.5
155 5 23 -35.9 -8.2 13.0 39.0
156 5 24 5.9 2.5 21.4 22.3
157 5 25 0.3 -0.7 -20.5 20.6
158 5 26 -42.1 -16.4 -12.5 46.9
159 5 27 -36.1 -20.4 -71.2 82.4
160 5 28 -39.0 -13.1 -19.5 45.5
161 5 29 -13.3 -12.9 -36.2 40.6
162 5 30 -28.2 -14.1 31.7 44.7
163 5 31 -24.2 -14.5 -28.9 40.4
164 5 32 -32.4 19.8 4.6 38.2
165 5 33 15.5 45.7 20.5 52.4
166 5 34 -9.8 1.0 5.4 11.3
167 5 35 16.2 40.6 26.4 51.0
168 5 36 -4.2 40.1 24.3 47.0
169 5 37 -1.6 55.5 -16.9 58.1
170 5 38 -25.5 18.8 -6.4 32.3
171 5 39 -12.1 57.1 -10.4 59.3
172 5 40 -38.6 26.8 -8.2 47.7
173 5 41 23.4 56.2 24.1 65.5
174 5 42 -34.1 14.1 -28.8 46.8
175 5 43 -7.5 14.4 -32.8 36.6
176 5 44 -14.4 8.9 -18.1 24.7
177 5 45 4.7 19.3 -16.4 25.7
178 5 46 0.6 2.4 -29.8 29.9
179 5 47 -29.4 -10.5 1.0 31.2
180 5 48 -5.9 1.3 -36.8 37.3
181 6 1 -25.8 -21.4 -38.3 50.9
182 6 2 -31.5 -24.6 -57.7 70.2
183 6 3 -58.6 -26.6 -75.0 98.8
184 6 4 -40.7 -17.2 -125.8 133.3
185 6 5 -13.5 -18.4 -71.1 74.7
186 6 6 -9.2 -4.8 -72.6 73.3
187 6 7 -5.1 -16.3 -50.9 53.7
188 6 8 -20.4 16.4 -21.8 34.1
189 6 9 -8.7 6.1 -34.1 35.7
190 6 10 -48.4 56.7 -17.3 76.5
191 6 11 54.0 43.9 24.9 73.9
192 6 12 33.1 34.5 8.1 48.5
193 6 13 43.3 42.3 -16.7 62.8
194 6 14 25.9 30.4 -10.6 41.3
195 6 15 8.2 31.7 -17.6 37.1
196 6 16 8.6 44.6 -51.6 68.7
197 6 17 0.7 2.3 -33.4 33.5
198 6 18 6.6 2.5 -177.8 178.0
199 6 19 30.4 -16.0 -50.7 61.2
200 6 20 -26.2 -9.9 6.1 28.7
201 6 21 -59.3 -23.1 -72.5 96.5
202 6 22 -18.0 62.5 -32.2 72.6
203 6 23 21.4 -22.3 10.3 32.6
204 6 24 -15.1 -10.9 -11.7 22.0
205 6 25 -61.8 -12.9 -51.8 81.6
206 6 26 -33.2 -33.6 -43.1 63.9
207 6 27 -88.4 -17.4 -63.2 110.1
208 6 28 -64.5 -32.3 -112.7 133.9
209 6 29 -55.0 15.6 -43.2 71.7
210 6 30 -34.8 18.4 56.3 68.7
211 6 31 -27.6 15.7 9.7 33.2
212 6 32 -35.9 2.3 16.7 39.7
213 6 33 -28.9 49.2 -58.0 81.4
214 6 34 -39.8 52.5 -5.9 66.2
215 6 35 33.8 35.3 50.4 70.2
216 6 36 33.4 68.5 61.1 97.7
217 6 37 7.0 41.7 23.8 48.5
218 6 38 5.2 15.4 -23.8 28.8
219 6 39 -18.6 42.9 0.2 46.7
220 6 40 31.8 38.7 -54.2 73.8
221 6 41 23.7 50.5 -2.7 55.9
222 6 42 46.1 20.0 -0.7 50.3
223 6 43 27.0 22.7 63.5 72.6
224 6 44 20.8 24.2 32.5 45.5
225 6 45 4.5 52.6 -70.1 87.8
226 6 46 -38.7 45.4 -13.2 61.0
227 6 47 -3.5 11.6 13.4 18.1
228 6 48 -11.1 -15.2 -1.1 18.8
229 7 1 -26.2 28.3 -31.2 49.6
230 7 2 -16.7 -24.4 -50.6 58.6
231 7 3 -40.5 -9.8 -40.8 58.3
232 7 4 4.7 -88.4 7.7 88.9
233 7 5 -25.9 -39.0 -63.0 78.5
234 7 6 -53.5 -13.5 -88.0 103.9
235 7 7 -5.5 -22.8 -54.8 59.6
236 7 8 17.1 14.9 -42.0 47.7
237 7 9 53.8 -58.2 13.0 80.4
238 7 10 30.2 46.7 -22.5 60.0
239 7 11 47.5 34.5 -2.1 58.8
240 7 12 19.5 55.4 46.4 74.8
241 7 13 -17.6 54.0 17.9 59.5
242 7 14 18.7 45.1 10.9 50.1
243 7 15 17.7 2.3 -14.2 22.8
244 7 16 44.6 -78.5 5.8 90.4
245 7 17 25.7 -22.3 -29.9 45.3
246 7 18 -30.0 26.5 -47.6 62.2
247 7 19 -15.3 -26.9 -8.3 32.1
248 7 20 7.8 -52.2 -47.9 71.3
249 7 21 -7.5 -99.4 12.6 100.5
250 7 22 -47.5 4.0 -11.8 49.1
251 7 23 45.1 -16.7 22.7 53.2
252 7 24 -13.3 29.5 51.7 61.0
253 7 25 44.9 27.0 49.3 72.0
254 7 26 -36.2 -0.9 32.0 48.3
255 7 27 -63.2 -15.1 5.9 65.2
256 7 28 -67.1 -141.7 316.6 353.3
257 7 29 32.6 -91.2 -26.2 100.3
258 7 30 -28.9 -9.5 -45.0 54.3
259 7 31 -13.8 -15.4 -33.5 39.4
260 7 32 7.8 -30.0 -35.0 46.7
261 7 33 9.7 -52.7 10.9 54.7
262 7 34 47.1 62.9 4.4 78.7
263 7 35 54.0 56.0 48.1 91.5
264 7 36 13.5 62.6 43.3 77.3
265 7 37 10.2 70.0 10.2 71.5
266 7 38 -4.6 31.9 -45.1 55.5
267 7 39 37.0 81.7 -54.8 105.1
268 7 40 64.8 0.2 63.1 90.4
269 7 41 60.3 35.9 22.0 73.6
270 7 42 44.3 18.0 18.6 51.3
271 7 43 -3.6 59.6 12.3 60.9
272 7 44 52.3 36.7 30.3 70.7
273 7 45 16.6 -8.9 63.6 66.4
274 7 46 56.2 29.6 44.5 77.5
275 7 47 49.9 55.3 -32.1 81.2
276 7 48 36.1 148.3 14.1 153.3
Creating sector-motor-move file
sector motor steps
1 1 2
1 2 -27
1 3 1
1 4 -38
1 5 -5
1 6 -12
1 7 -12
1 8 -3
1 9 -12
1 10 -22
1 11 -8
1 12 -17
1 13 -15
1 14 -7
1 15 -5
1 16 -17
1 17 -7
1 18 -9
1 19 -9
1 20 8
1 21 -8
1 22 -11
1 23 -6
1 24 -7
1 25 -9
1 26 -1
1 27 -3
1 28 -24
1 29 -1
1 30 -2
1 31 -17
1 32 -3
1 33 -3
1 34 -14
1 35 -6
1 36 -5
1 37 -14
1 38 -4
1 39 -7
1 40 -25
1 41 -10
1 42 -3
1 43 -13
1 44 -4
1 45 1
1 46 1
1 47 -12
1 48 -11
1 49 -11
1 50 0
1 51 -1
1 52 -11
1 53 -13
1 54 6
1 55 -14
1 56 -1
1 57 -8
1 58 5
1 59 9
1 60 -3
1 61 -7
1 62 -5
1 63 -2
1 64 -9
1 65 7
1 66 -12
1 67 -5
1 68 -2
1 69 0
2 1 -12
2 2 4
2 3 5
2 4 -6
2 5 5
2 6 -6
2 7 -16
2 8 -7
2 9 -1
2 10 -15
2 11 -4
2 12 -1
2 13 -26
2 14 -4
2 15 -16
2 16 -22
2 17 -1
2 18 -2
2 19 -19
2 20 -11
2 21 -7
2 22 -21
2 23 -5
2 24 -4
2 25 -14
2 26 7
2 27 -3
2 28 -13
2 29 2
2 30 -7
2 31 -1
2 32 10
2 33 0
2 34 -5
2 35 -1
2 36 1
2 37 -14
2 38 -1
2 39 -5
2 40 -13
2 41 0
2 42 1
2 43 -18
2 44 0
2 45 -3
2 46 -10
2 47 -1
2 48 1
2 49 -6
2 50 4
2 51 0
2 52 -3
2 53 -5
2 54 3
2 55 -7
2 56 4
2 57 -6
2 58 -4
2 59 20
2 60 6
2 61 -8
2 62 0
2 63 -4
2 64 -4
2 65 14
2 66 -12
2 67 0
2 68 -2
2 69 0
3 1 14
3 2 16
3 3 5
3 4 2
3 5 10
3 6 10
3 7 0
3 8 10
3 9 14
3 10 7
3 11 13
3 12 16
3 13 -6
3 14 14
3 15 9
3 16 -5
3 17 17
3 18 -14
3 19 3
3 20 -17
3 21 16
3 22 -10
3 23 1
3 24 -2
3 25 1
3 26 23
3 27 0
3 28 -15
3 29 15
3 30 -5
3 31 9
3 32 7
3 33 3
3 34 -17
3 35 -2
3 36 -1
3 37 -5
3 38 5
3 39 -3
3 40 -13
3 41 3
3 42 -6
3 43 3
3 44 2
3 45 4
3 46 -5
3 47 0
3 48 -3
3 49 -8
3 50 1
3 51 0
3 52 4
3 53 -3
3 54 15
3 55 -6
3 56 1
3 57 3
3 58 1
3 59 26
3 60 12
3 61 -10
3 62 -3
3 63 2
3 64 -4
3 65 15
3 66 -1
3 67 -6
3 68 2
3 69 4
4 1 1
4 2 -24
4 3 13
4 4 -15
4 5 13
4 6 2
4 7 -4
4 8 0
4 9 5
4 10 -5
4 11 9
4 12 2
4 13 3
4 14 13
4 15 5
4 16 -3
4 17 9
4 18 7
4 19 5
4 20 16
4 21 -5
4 22 -5
4 23 12
4 24 13
4 25 4
4 26 12
4 27 2
4 28 -7
4 29 5
4 30 -11
4 31 -5
4 32 6
4 33 1
4 34 -4
4 35 -1
4 36 -8
4 37 3
4 38 11
4 39 3
4 40 -13
4 41 0
4 42 7
4 43 1
4 44 16
4 45 5
4 46 6
4 47 7
4 48 1
4 49 -4
4 50 4
4 51 0
4 52 -5
4 53 -1
4 54 26
4 55 -10
4 56 3
4 57 6
4 58 16
4 59 33
4 60 8
4 61 -4
4 62 0
4 63 0
4 64 -1
4 65 8
4 66 2
4 67 -7
4 68 2
4 69 2
5 1 -14
5 2 -16
5 3 2
5 4 1
5 5 -3
5 6 -8
5 7 -2
5 8 -8
5 9 -4
5 10 -15
5 11 -4
5 12 9
5 13 -14
5 14 8
5 15 -9
5 16 -54
5 17 0
5 18 2
5 19 -9
5 20 -6
5 21 7
5 22 -10
5 23 0
5 24 0
5 25 -14
5 26 -7
5 27 -10
5 28 -13
5 29 3
5 30 5
5 31 -15
5 32 0
5 33 -3
5 34 -5
5 35 0
5 36 0
5 37 35
5 38 2
5 39 4
5 40 5
5 41 3
5 42 5
5 43 13
5 44 13
5 45 -1
5 46 -7
5 47 0
5 48 -6
5 49 -8
5 50 8
5 51 9
5 52 6
5 53 3
5 54 15
5 55 -1
5 56 8
5 57 6
5 58 5
5 59 19
5 60 18
5 61 -6
5 62 3
5 63 11
5 64 -3
5 65 16
5 66 4
5 67 0
5 68 3
5 69 -5
6 1 15
6 2 9
6 3 -4
6 4 -3
6 5 -3
6 6 -4
6 7 6
6 8 -5
6 9 13
6 10 3
6 11 -6
6 12 6
6 13 -3
6 14 1
6 15 -14
6 16 -9
6 17 19
6 18 -5
6 19 3
6 20 -30
6 21 -2
6 22 -22
6 23 -7
6 24 -18
6 25 6
6 26 0
6 27 1
6 28 -1
6 29 -4
6 30 -11
6 31 3
6 32 -2
6 33 -10
6 34 -7
6 35 -6
6 36 -7
6 37 -11
6 38 0
6 39 -6
6 40 26
6 41 -2
6 42 -16
6 43 -9
6 44 -1
6 45 0
6 46 -9
6 47 0
6 48 -4
6 49 -4
6 50 5
6 51 0
6 52 -7
6 53 -2
6 54 8
6 55 1
6 56 5
6 57 2
6 58 13
6 59 20
6 60 14
6 61 -3
6 62 1
6 63 -3
6 64 4
6 65 12
6 66 1
6 67 -2
6 68 0
6 69 5
7 1 97
7 2 -43
7 3 -20
7 4 -34
7 5 -9
7 6 -19
7 7 1
7 8 -4
7 9 -19
7 10 -19
7 11 -5
7 12 -27
7 13 9
7 14 0
7 15 -11
7 16 -13
7 17 -10
7 18 -10
7 19 15
7 20 8
7 21 13
7 22 -15
7 23 -3
7 24 -18
7 25 -5
7 26 -4
7 27 -11
7 28 -9
7 29 -6
7 30 -9
7 31 -21
7 32 -6
7 33 -11
7 34 -6
7 35 -3
7 36 -8
7 37 -3
7 38 -5
7 39 -12
7 40 -22
7 41 -10
7 42 -4
7 43 -6
7 44 0
7 45 0
7 46 -1
7 47 -3
7 48 -18
7 49 -10
7 50 -1
7 51 -11
7 52 0
7 53 -9
7 54 4
7 55 -2
7 56 0
7 57 -8
7 58 14
7 59 4
7 60 2
7 61 -4
7 62 -1
7 63 -2
7 64 -3
7 65 8
7 66 -3
7 67 -12
7 68 -3
7 69 -4
8 1 -10
8 2 -9
8 3 2
8 4 5
8 5 0
8 6 -11
8 7 -10
8 8 -4
8 9 -4
8 10 2
8 11 4
8 12 -8
8 13 -13
8 14 -2
8 15 -8
8 16 17
8 17 5
8 18 -10
8 19 -8
8 20 -27
8 21 10
8 22 -13
8 23 4
8 24 -16
8 25 1
8 26 6
8 27 -9
8 28 0
8 29 0
8 30 -13
8 31 -8
8 32 -4
8 33 -7
8 34 -5
8 35 0
8 36 -13
8 37 9
8 38 -4
8 39 -8
8 40 0
8 41 -2
8 42 -12
8 43 -11
8 44 -3
8 45 -4
8 46 -27
8 47 -2
8 48 -14
8 49 -10
8 50 0
8 51 -8
8 52 -4
8 53 0
8 54 1
8 55 -12
8 56 -3
8 57 -4
8 58 13
8 59 0
8 60 10
8 61 -4
8 62 -5
8 63 -9
8 64 -6
8 65 9
8 66 -12
8 67 -10
8 68 -2
8 69 -5
9 1 13
9 2 19
9 3 4
9 4 18
9 5 21
9 6 10
9 7 14
9 8 17
9 9 16
9 10 15
9 11 10
9 12 10
9 13 1
9 14 19
9 15 14
9 16 -1
9 17 16
9 18 -12
9 19 3
9 20 -16
9 21 2
9 22 -17
9 23 15
9 24 -8
9 25 7
9 26 12
9 27 -1
9 28 -5
9 29 3
9 30 -10
9 31 8
9 32 12
9 33 4
9 34 -13
9 35 5
9 36 3
9 37 1
9 38 0
9 39 -3
9 40 -7
9 41 0
9 42 -2
9 43 6
9 44 14
9 45 4
9 46 0
9 47 6
9 48 -14
9 49 -8
9 50 6
9 51 -1
9 52 -10
9 53 -1
9 54 9
9 55 1
9 56 4
9 57 2
9 58 -1
9 59 0
9 60 7
9 61 0
9 62 0
9 63 0
9 64 -5
9 65 3
9 66 -2
9 67 -1
9 68 0
9 69 7
10 1 19
10 2 0
10 3 19
10 4 -16
10 5 11
10 6 9
10 7 -16
10 8 25
10 9 11
10 10 0
10 11 13
10 12 -5
10 13 -13
10 14 9
10 15 -1
10 16 -7
10 17 4
10 18 1
10 19 3
10 20 21
10 21 3
10 22 7
10 23 12
10 24 2
10 25 -2
10 26 8
10 27 -11
10 28 -16
10 29 2
10 30 -2
10 31 -3
10 32 17
10 33 -3
10 34 -7
10 35 2
10 36 -9
10 37 -1
10 38 5
10 39 -7
10 40 -23
10 41 -1
10 42 -2
10 43 -5
10 44 17
10 45 0
10 46 -10
10 47 6
10 48 -9
10 49 -16
10 50 0
10 51 -3
10 52 -11
10 53 -11
10 54 12
10 55 -8
10 56 3
10 57 -7
10 58 8
10 59 17
10 60 5
10 61 -17
10 62 -1
10 63 -5
10 64 -1
10 65 0
10 66 -7
10 67 -20
10 68 0
10 69 -7
11 1 9
11 2 11
11 3 16
11 4 9
11 5 7
11 6 6
11 7 3
11 8 18
11 9 -1
11 10 19
11 11 6
11 12 8
11 13 5
11 14 5
11 15 13
11 16 0
11 17 6
11 18 14
11 19 6
11 20 11
11 21 18
11 22 0
11 23 15
11 24 7
11 25 -5
11 26 2
11 27 -4
11 28 -14
11 29 0
11 30 -6
11 31 -10
11 32 4
11 33 -2
11 34 -19
11 35 0
11 36 -14
11 37 -8
11 38 4
11 39 -10
11 40 -17
11 41 1
11 42 -3
11 43 7
11 44 17
11 45 7
11 46 -13
11 47 11
11 48 -8
11 49 -10
11 50 1
11 51 -7
11 52 -21
11 53 -19
11 54 0
11 55 -6
11 56 1
11 57 1
11 58 10
11 59 22
11 60 0
11 61 -6
11 62 0
11 63 -1
11 64 -10
11 65 6
11 66 -13
11 67 -4
11 68 -5
11 69 0
12 1 4
12 2 45
12 3 11
12 4 0
12 5 -4
12 6 -3
12 7 -9
12 8 16
12 9 15
12 10 4
12 11 3
12 12 -1
12 13 13
12 14 9
12 15 17
12 16 -4
12 17 13
12 18 -11
12 19 19
12 20 -2
12 21 5
12 22 -21
12 23 16
12 24 1
12 25 -11
12 26 0
12 27 -1
12 28 -12
12 29 -13
12 30 -18
12 31 0
12 32 -3
12 33 -9
12 34 -19
12 35 -10
12 36 -6
12 37 -9
12 38 0
12 39 0
12 40 -19
12 41 -9
12 42 -7
12 43 -5
12 44 5
12 45 1
12 46 -18
12 47 0
12 48 -1
12 49 -17
12 50 -8
12 51 -20
12 52 -17
12 53 -14
12 54 5
12 55 -15
12 56 -5
12 57 -7
12 58 0
12 59 18
12 60 5
12 61 -16
12 62 -5
12 63 -3
12 64 -16
12 65 16
12 66 -11
12 67 -23
12 68 -9
12 69 -7
Adjuster movements: rms = 36.2 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20071003-111538
Creating HTML output file of plots
Plotting summary text