![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050727-090535.fits
Reduced on 20050727-101245 by janw on moana.jach.hawaii.edu
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/rxh3 |
| data.filename | rxh3-20050727-090535.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -31 |
| data.pointing_offset_y | 70 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.72 |
| 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 | 0.03372 |
| 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: 20050727-101245
Reading data from rxh3-20050727-090535.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2401.6 max = 2431.7 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.720 mm
----------------- Data Summary ---------------------
Number of samples: 370025
This is a 80 GHz map
Number of frequencies: 16
Frequencies (GHz):
80.338000 80.340000 80.342000 80.344000 80.346000 80.348000
80.350000 80.352000 80.354000 80.356000 80.358000 80.360000
80.362000 80.364000 80.366000 80.368000
item min max mean
loreal -3.08105 3.20801 -0.01751
loimag -3.26904 3.21533 0.00302
hireal -5.00000 4.99756 -0.20410
hiimag -5.00000 4.99756 -0.18745
xpos -2431.16078 2431.73595 -3.88091
ypos -2401.60297 2402.29414 -0.02416
plock160 0.48340 1.99707 1.29183
lorefpwr -0.01709 1.58447 1.07482
losigpwr -4.54834 -0.12451 -4.27010
hirefpwr 0.05127 1.63086 1.12973
hisigpwr -4.45312 4.99756 -1.19700
encltemp 31.68945 32.86133 32.18584
flags 0.00000 256.00000 2.76738
phi-lock -1.74072 -0.31006 -1.07123
sindex 0.00000 128.00000 63.61104
time 0.00000 2041.98127 1015.29160
zeropt 0.00000 0.00488 0.00245
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00525 arcsec
Mean row spacing = 40.00526 arcsec (alternate estimator)
Mean tracking incline = 0.55244 arcsec
Mean pointing range = 1.39861 arcsec
Mean pointing rms = 0.27420 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-31, 70 ) 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: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22673 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22673 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2431.74 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373025
scale = 0.00129968
Diffraction scale lambda/D = 51.3137 arcsec
Gridding function extent = 307.882 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.941 arcsec
Airy first null at 62.5858 arcsec
Gridding frequency index 0
lambda = 0.00373164 metres, scale = 0.0012992 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 3.08298 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.00114513 sum of squares = 811.665
Imag: mean = -0.00312113 sum of squares = 1009.14
Gridding frequency index 1
lambda = 0.00373155 metres, scale = 0.00129923 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 3.09395 at (0.0, -40.013940751804832) arcsec
Real: mean = 0.0016757 sum of squares = 855.706
Imag: mean = -0.00293793 sum of squares = 966.395
Gridding frequency index 2
lambda = 0.00373145 metres, scale = 0.00129926 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 3.08608 at (0.0, -40.01294466157178) arcsec
Real: mean = 0.00208724 sum of squares = 940.793
Imag: mean = -0.00272747 sum of squares = 884.821
Gridding frequency index 3
lambda = 0.00373136 metres, scale = 0.00129929 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 3.12496 at (0.0, -40.011948620929999) arcsec
Real: mean = 0.00227344 sum of squares = 1008.89
Imag: mean = -0.00237833 sum of squares = 822.838
Gridding frequency index 4
lambda = 0.00373127 metres, scale = 0.00129933 radians per metre
Gridding real part of frequency 4...
Gridding imag part of frequency 4...
Pattern is holo(res.pattern4)
Weights in holo(obs.real,wt4) and holo(obs.imag,wt4)
Maximum amplitude = 3.131 at (0.0, -40.010952629875788) arcsec
Real: mean = 0.00241255 sum of squares = 1006.38
Imag: mean = -0.00195782 sum of squares = 829.535
Gridding frequency index 5
lambda = 0.00373118 metres, scale = 0.00129936 radians per metre
Gridding real part of frequency 5...
Gridding imag part of frequency 5...
Pattern is holo(res.pattern5)
Weights in holo(obs.real,wt5) and holo(obs.imag,wt5)
Maximum amplitude = 3.15101 at (0.0, -40.009956688405431) arcsec
Real: mean = 0.00251856 sum of squares = 938.466
Imag: mean = -0.00156763 sum of squares = 901.067
Gridding frequency index 6
lambda = 0.00373108 metres, scale = 0.00129939 radians per metre
Gridding real part of frequency 6...
Gridding imag part of frequency 6...
Pattern is holo(res.pattern6)
Weights in holo(obs.real,wt6) and holo(obs.imag,wt6)
Maximum amplitude = 3.15131 at (0.0, -40.008960796515247) arcsec
Real: mean = 0.00224251 sum of squares = 858.414
Imag: mean = -0.00103751 sum of squares = 985.26
Gridding frequency index 7
lambda = 0.00373099 metres, scale = 0.00129942 radians per metre
Gridding real part of frequency 7...
Gridding imag part of frequency 7...
Pattern is holo(res.pattern7)
Weights in holo(obs.real,wt7) and holo(obs.imag,wt7)
Maximum amplitude = 3.1562 at (0.0, -40.007964954201512) arcsec
Real: mean = 0.00159952 sum of squares = 823.79
Imag: mean = -0.000710801 sum of squares = 1019.11
Gridding frequency index 8
lambda = 0.0037309 metres, scale = 0.00129946 radians per metre
Gridding real part of frequency 8...
Gridding imag part of frequency 8...
Pattern is holo(res.pattern8)
Weights in holo(obs.real,wt8) and holo(obs.imag,wt8)
Maximum amplitude = 3.1565 at (0.0, -40.006969161460532) arcsec
Real: mean = 0.00119403 sum of squares = 862.034
Imag: mean = -0.000906272 sum of squares = 984.144
Gridding frequency index 9
lambda = 0.0037308 metres, scale = 0.00129949 radians per metre
Gridding real part of frequency 9...
Gridding imag part of frequency 9...
Pattern is holo(res.pattern9)
Weights in holo(obs.real,wt9) and holo(obs.imag,wt9)
Maximum amplitude = 3.15969 at (0.0, -40.005973418288612) arcsec
Real: mean = 0.000891506 sum of squares = 941.654
Imag: mean = -0.00119099 sum of squares = 904.85
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 = 3.164 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00062459 sum of squares = 1008.32
Imag: mean = -0.00140663 sum of squares = 841.947
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 = 3.15905 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.000491844 sum of squares = 1017.4
Imag: mean = -0.0018159 sum of squares = 836.124
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 = 3.145 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.000595015 sum of squares = 963.381
Imag: mean = -0.00232924 sum of squares = 896.638
Gridding frequency index 13
lambda = 0.00373043 metres, scale = 0.00129962 radians per metre
Gridding real part of frequency 13...
Gridding imag part of frequency 13...
Pattern is holo(res.pattern13)
Weights in holo(obs.real,wt13) and holo(obs.imag,wt13)
Maximum amplitude = 3.13473 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.000788556 sum of squares = 881.165
Imag: mean = -0.00266552 sum of squares = 978.716
Gridding frequency index 14
lambda = 0.00373034 metres, scale = 0.00129965 radians per metre
Gridding real part of frequency 14...
Gridding imag part of frequency 14...
Pattern is holo(res.pattern14)
Weights in holo(obs.real,wt14) and holo(obs.imag,wt14)
Maximum amplitude = 3.11987 at (0.0, -40.000995445835301) arcsec
Real: mean = 0.0012631 sum of squares = 831.283
Imag: mean = -0.00295858 sum of squares = 1031.2
Gridding frequency index 15
lambda = 0.00373025 metres, scale = 0.00129968 radians per metre
Gridding real part of frequency 15...
Gridding imag part of frequency 15...
Pattern is holo(res.pattern15)
Weights in holo(obs.real,wt15) and holo(obs.imag,wt15)
Maximum amplitude = 3.11259 at (0.0, -40.0) arcsec
Real: mean = 0.00200843 sum of squares = 850.362
Imag: mean = -0.00298734 sum of squares = 1010.46
Masking frequency index 0
Mask scale size = 3.05775
Masking frequency index 1
Mask scale size = 3.05783
Masking frequency index 2
Mask scale size = 3.05791
Masking frequency index 3
Mask scale size = 3.05798
Masking frequency index 4
Mask scale size = 3.05806
Masking frequency index 5
Mask scale size = 3.05813
Masking frequency index 6
Mask scale size = 3.05821
Masking frequency index 7
Mask scale size = 3.05829
Masking frequency index 8
Mask scale size = 3.05836
Masking frequency index 9
Mask scale size = 3.05844
Masking frequency index 10
Mask scale size = 3.05851
Masking frequency index 11
Mask scale size = 3.05859
Masking frequency index 12
Mask scale size = 3.05867
Masking frequency index 13
Mask scale size = 3.05874
Masking frequency index 14
Mask scale size = 3.05882
Masking frequency index 15
Mask scale size = 3.0589
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.241699
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.236816
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.0244141
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.236816
Median point-to-point PLL voltage change: 0.0219727
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.205 98.606
Freq 1: Shift, scale = -1.644 97.225
Freq 2: Shift, scale = -2.0853 96.453
Freq 3: Shift, scale = -2.5247 97.073
Freq 4: Shift, scale = -2.967 98.363
Freq 5: Shift, scale = 2.865 99.456
Freq 6: Shift, scale = 2.4229 101.11
Freq 7: Shift, scale = 1.9838 102.74
Freq 8: Shift, scale = 1.5489 104.09
Freq 9: Shift, scale = 1.1166 104.5
Freq 10: Shift, scale = 0.68132 104.23
Freq 11: Shift, scale = 0.25175 103.65
Freq 12: Shift, scale = -0.18205 101.97
Freq 13: Shift, scale = -0.61391 100.33
Freq 14: Shift, scale = -1.038 98.92
Freq 15: Shift, scale = -1.4742 97.78
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 1
piston: -0.451 radians
x offset: -0.0968 arcsec
y offset: -0.367 arcsec
defocus: 0.00222 mm
Estimated x pointing error is -31.1 arcsec (used -31 arcsec)
Estimated y pointing error is 69.63 arcsec (used 70 arcsec)
Estimated defocus error is 2.722 mm (used 2.72 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.455 radians
x offset: -0.0804 arcsec
y offset: -0.385 arcsec
defocus: -0.000175 mm
Estimated x pointing error is -31.08 arcsec (used -31 arcsec)
Estimated y pointing error is 69.61 arcsec (used 70 arcsec)
Estimated defocus error is 2.72 mm (used 2.72 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.458 radians
x offset: -0.119 arcsec
y offset: -0.397 arcsec
defocus: 0.000135 mm
Estimated x pointing error is -31.12 arcsec (used -31 arcsec)
Estimated y pointing error is 69.6 arcsec (used 70 arcsec)
Estimated defocus error is 2.72 mm (used 2.72 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.461 radians
x offset: -0.0882 arcsec
y offset: -0.421 arcsec
defocus: -0.000558 mm
Estimated x pointing error is -31.09 arcsec (used -31 arcsec)
Estimated y pointing error is 69.58 arcsec (used 70 arcsec)
Estimated defocus error is 2.719 mm (used 2.72 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.463 radians
x offset: -0.126 arcsec
y offset: -0.417 arcsec
defocus: 0.00171 mm
Estimated x pointing error is -31.13 arcsec (used -31 arcsec)
Estimated y pointing error is 69.58 arcsec (used 70 arcsec)
Estimated defocus error is 2.722 mm (used 2.72 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.476 radians
x offset: -0.0678 arcsec
y offset: -0.441 arcsec
defocus: 0.00328 mm
Estimated x pointing error is -31.07 arcsec (used -31 arcsec)
Estimated y pointing error is 69.56 arcsec (used 70 arcsec)
Estimated defocus error is 2.723 mm (used 2.72 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.479 radians
x offset: -0.0507 arcsec
y offset: -0.443 arcsec
defocus: 0.00445 mm
Estimated x pointing error is -31.05 arcsec (used -31 arcsec)
Estimated y pointing error is 69.56 arcsec (used 70 arcsec)
Estimated defocus error is 2.724 mm (used 2.72 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.48 radians
x offset: 0.0104 arcsec
y offset: -0.456 arcsec
defocus: 0.00486 mm
Estimated x pointing error is -30.99 arcsec (used -31 arcsec)
Estimated y pointing error is 69.54 arcsec (used 70 arcsec)
Estimated defocus error is 2.725 mm (used 2.72 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.478 radians
x offset: 0.0232 arcsec
y offset: -0.478 arcsec
defocus: 0.00139 mm
Estimated x pointing error is -30.98 arcsec (used -31 arcsec)
Estimated y pointing error is 69.52 arcsec (used 70 arcsec)
Estimated defocus error is 2.721 mm (used 2.72 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.477 radians
x offset: 0.0688 arcsec
y offset: -0.483 arcsec
defocus: -0.00493 mm
Estimated x pointing error is -30.93 arcsec (used -31 arcsec)
Estimated y pointing error is 69.52 arcsec (used 70 arcsec)
Estimated defocus error is 2.715 mm (used 2.72 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.475 radians
x offset: 0.0524 arcsec
y offset: -0.499 arcsec
defocus: -0.00875 mm
Estimated x pointing error is -30.95 arcsec (used -31 arcsec)
Estimated y pointing error is 69.5 arcsec (used 70 arcsec)
Estimated defocus error is 2.711 mm (used 2.72 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.47 radians
x offset: 0.0883 arcsec
y offset: -0.488 arcsec
defocus: -0.0131 mm
Estimated x pointing error is -30.91 arcsec (used -31 arcsec)
Estimated y pointing error is 69.51 arcsec (used 70 arcsec)
Estimated defocus error is 2.707 mm (used 2.72 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.463 radians
x offset: 0.0621 arcsec
y offset: -0.469 arcsec
defocus: -0.0128 mm
Estimated x pointing error is -30.94 arcsec (used -31 arcsec)
Estimated y pointing error is 69.53 arcsec (used 70 arcsec)
Estimated defocus error is 2.707 mm (used 2.72 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.455 radians
x offset: 0.0914 arcsec
y offset: -0.473 arcsec
defocus: -0.00959 mm
Estimated x pointing error is -30.91 arcsec (used -31 arcsec)
Estimated y pointing error is 69.53 arcsec (used 70 arcsec)
Estimated defocus error is 2.71 mm (used 2.72 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.44 radians
x offset: 0.097 arcsec
y offset: -0.458 arcsec
defocus: -0.00824 mm
Estimated x pointing error is -30.9 arcsec (used -31 arcsec)
Estimated y pointing error is 69.54 arcsec (used 70 arcsec)
Estimated defocus error is 2.712 mm (used 2.72 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.433 radians
x offset: 0.0321 arcsec
y offset: -0.464 arcsec
defocus: -0.00202 mm
Estimated x pointing error is -30.97 arcsec (used -31 arcsec)
Estimated y pointing error is 69.54 arcsec (used 70 arcsec)
Estimated defocus error is 2.718 mm (used 2.72 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 -0.00120 piston
1 1 -0.00465 tilt_x
1 -1 0.01551 tilt_y
2 2 -0.00478 astigmatism_0
2 0 0.00155 curvature
2 -2 0.13909 astigmatism45
3 3 0.01591 trefoil_0
3 1 -0.02454 coma_x
3 -1 0.00198 coma_y
3 -3 -0.10936 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 -0.00120 piston
1 1 -0.00358 tilt_x
1 -1 0.01561 tilt_y
2 2 -0.00749 astigmatism_0
2 0 0.00174 curvature
2 -2 0.13930 astigmatism45
3 3 0.01541 trefoil_0
3 1 -0.02018 coma_x
3 -1 0.00216 coma_y
3 -3 -0.10973 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 -0.00139 piston
1 1 -0.00369 tilt_x
1 -1 0.01687 tilt_y
2 2 -0.00605 astigmatism_0
2 0 0.00111 curvature
2 -2 0.14081 astigmatism45
3 3 0.01487 trefoil_0
3 1 -0.02102 coma_x
3 -1 0.00515 coma_y
3 -3 -0.10599 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 -0.00144 piston
1 1 -0.00299 tilt_x
1 -1 0.01642 tilt_y
2 2 -0.00708 astigmatism_0
2 0 0.00093 curvature
2 -2 0.14023 astigmatism45
3 3 0.01480 trefoil_0
3 1 -0.01887 coma_x
3 -1 0.00359 coma_y
3 -3 -0.10861 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 -0.00153 piston
1 1 -0.00428 tilt_x
1 -1 0.01702 tilt_y
2 2 -0.00448 astigmatism_0
2 0 0.00023 curvature
2 -2 0.14123 astigmatism45
3 3 0.01593 trefoil_0
3 1 -0.02338 coma_x
3 -1 0.00429 coma_y
3 -3 -0.10613 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 -0.00143 piston
1 1 -0.00383 tilt_x
1 -1 0.01667 tilt_y
2 2 -0.00469 astigmatism_0
2 0 0.00043 curvature
2 -2 0.14011 astigmatism45
3 3 0.01347 trefoil_0
3 1 -0.02255 coma_x
3 -1 0.00360 coma_y
3 -3 -0.10766 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 -0.00130 piston
1 1 -0.00424 tilt_x
1 -1 0.01613 tilt_y
2 2 -0.00449 astigmatism_0
2 0 0.00071 curvature
2 -2 0.13998 astigmatism45
3 3 0.01301 trefoil_0
3 1 -0.02389 coma_x
3 -1 0.00197 coma_y
3 -3 -0.10655 trefoil_30
Fitting many Zernikes for frequency 7
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00117 piston
1 1 -0.00357 tilt_x
1 -1 0.01538 tilt_y
2 2 -0.00682 astigmatism_0
2 0 0.00116 curvature
2 -2 0.13708 astigmatism45
3 3 0.01181 trefoil_0
3 1 -0.02150 coma_x
3 -1 0.00134 coma_y
3 -3 -0.10713 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 -0.00108 piston
1 1 -0.00340 tilt_x
1 -1 0.01517 tilt_y
2 2 -0.00735 astigmatism_0
2 0 0.00161 curvature
2 -2 0.13708 astigmatism45
3 3 0.00963 trefoil_0
3 1 -0.02076 coma_x
3 -1 0.00073 coma_y
3 -3 -0.10693 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 -0.00100 piston
1 1 -0.00262 tilt_x
1 -1 0.01413 tilt_y
2 2 -0.00780 astigmatism_0
2 0 0.00195 curvature
2 -2 0.13486 astigmatism45
3 3 0.00745 trefoil_0
3 1 -0.01814 coma_x
3 -1 -0.00110 coma_y
3 -3 -0.10729 trefoil_30
Fitting many Zernikes for frequency 10
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00104 piston
1 1 -0.00247 tilt_x
1 -1 0.01510 tilt_y
2 2 -0.00636 astigmatism_0
2 0 0.00221 curvature
2 -2 0.13727 astigmatism45
3 3 0.00535 trefoil_0
3 1 -0.01773 coma_x
3 -1 0.00128 coma_y
3 -3 -0.10671 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 -0.00104 piston
1 1 -0.00175 tilt_x
1 -1 0.01480 tilt_y
2 2 -0.00773 astigmatism_0
2 0 0.00252 curvature
2 -2 0.13598 astigmatism45
3 3 0.00495 trefoil_0
3 1 -0.01470 coma_x
3 -1 0.00095 coma_y
3 -3 -0.10749 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 -0.00120 piston
1 1 -0.00223 tilt_x
1 -1 0.01630 tilt_y
2 2 -0.00653 astigmatism_0
2 0 0.00218 curvature
2 -2 0.13858 astigmatism45
3 3 0.00579 trefoil_0
3 1 -0.01634 coma_x
3 -1 0.00481 coma_y
3 -3 -0.10772 trefoil_30
Fitting many Zernikes for frequency 13
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00115 piston
1 1 -0.00191 tilt_x
1 -1 0.01664 tilt_y
2 2 -0.00760 astigmatism_0
2 0 0.00244 curvature
2 -2 0.13715 astigmatism45
3 3 0.00611 trefoil_0
3 1 -0.01500 coma_x
3 -1 0.00651 coma_y
3 -3 -0.10813 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 -0.00123 piston
1 1 -0.00185 tilt_x
1 -1 0.01692 tilt_y
2 2 -0.00692 astigmatism_0
2 0 0.00211 curvature
2 -2 0.13741 astigmatism45
3 3 0.00737 trefoil_0
3 1 -0.01522 coma_x
3 -1 0.00774 coma_y
3 -3 -0.10657 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 -0.00138 piston
1 1 -0.00352 tilt_x
1 -1 0.01737 tilt_y
2 2 -0.00322 astigmatism_0
2 0 0.00137 curvature
2 -2 0.13694 astigmatism45
3 3 0.01151 trefoil_0
3 1 -0.02127 coma_x
3 -1 0.00927 coma_y
3 -3 -0.10942 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: 51.4 37 31.9 47.6 40.2 48.2 62.2 50.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 51.2 36.9 31.2 45.8 36.9 42.1 55.1 46
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.53 3.73 6.76 11 16.4 23.5 32.4 21.1
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.9 36.8 31.1 44.4 40 48.6 62.7 49.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.7 36.7 30.3 42.6 36.7 42.2 55.7 45.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.3 3.43 6.53 10.8 16.4 23.6 32.4 21.1
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.6 36.7 30.9 41.9 39.7 47.7 62.4 48.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.5 36.6 30.1 40.2 36.5 41.5 54.9 44.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.37 3.53 6.64 10.9 16.4 23.5 32.3 21
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 47.7 36.6 30.6 41.2 40.2 48.1 63.5 49.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 47.6 36.6 29.8 39.2 37.2 41.9 55.8 44.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.25 3.37 6.51 10.9 16.5 23.6 32.4 21.1
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 46.3 37 30.6 40 40.2 47.9 63.9 48.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 46.2 36.9 29.9 38 37.2 41.6 56 44.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.48 3.69 6.77 11 16.5 23.6 32.4 21.1
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 45.9 37.6 31.4 39.5 40.9 47.7 64.6 49.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 45.7 37.6 30.7 37.4 38.1 41.6 56.5 44.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.43 3.61 6.69 10.9 16.4 23.5 32.3 21
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 45.1 38.1 31.2 38.9 40.8 48.1 64.6 49.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 45 38 30.5 36.8 38 41.7 56.8 44.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.49 3.69 6.74 10.9 16.4 23.4 32.2 21
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 44.6 38.1 31.9 38.8 41.3 47.9 64.2 49.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 44.5 38 31.3 36.5 38.6 41.8 56.5 44.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.36 3.48 6.5 10.7 16.1 23.1 31.8 20.7
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 45.4 39.3 32 40.2 41 48.5 63.9 49.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 45.2 39.2 31.4 38 38.3 42.2 56.5 45.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.32 3.42 6.46 10.7 16.1 23.1 31.8 20.6
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 47.5 40.6 31.7 41.5 40.8 48.5 61.8 49.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 47.4 40.5 31.1 39.4 38.2 42.4 54.6 45
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.19 3.22 6.24 10.5 15.9 22.8 31.4 20.4
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.6 40.4 32.2 42.6 40.2 48.8 62.3 49.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.5 40.3 31.6 40.6 37.6 42.6 55 45.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.17 3.23 6.31 10.6 16.1 23.1 31.7 20.6
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 51 39.8 32.4 43.3 40.4 49 62.1 49.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.9 39.7 31.7 41.3 37.9 42.7 55.2 45.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.02 3.04 6.14 10.5 16 23 31.6 20.5
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 51.1 38.9 32.5 43.8 39.9 48.8 62.2 50
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.9 38.9 31.7 42 37.2 42.4 54.9 45.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.13 3.21 6.34 10.7 16.2 23.3 32 20.8
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.4 38.2 32.1 44.7 40.6 49.2 62 50.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 50.2 38.2 31.4 43 38 42.8 55.1 46.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.09 3.15 6.27 10.6 16.1 23.2 31.8 20.7
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.7 37.2 31.6 47.1 40.3 48.7 62.4 50.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 49.6 37.1 30.9 45.3 37.8 42.3 55.1 46.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.13 3.19 6.31 10.6 16.1 23.1 31.7 20.6
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 48.5 36.4 31.2 45.4 40.5 49.4 62.2 49.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 48.3 36.3 30.6 43.6 38 42.9 55 45.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.44 3.59 6.62 10.8 16.2 23.2 32 20.8
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 46.2 37.1 30.1 37.7 39.4 47.2 61.6 47.9
Mean deviation is 0.88563292691251261 microns
Taper = 10 dB, Ruze illumination-weighted rms = 46.7 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 = 42.0 micron
Centre pixel: 64.0 64.0 Value = 1926.65 (estimate), 3708.89 (perfect)
Strehl = 0.269846
Strehl ratio estimate = 0.2698
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 = 40.5 micron
Centre pixel: 64.0 64.0 Value = 1152.45 (estimate), 3708.89 (perfect)
Strehl = 0.0965509
Strehl ratio estimate = 0.09655
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.15028 metres
panel scale = 3.00000 metres
mean frequency = 80.35300 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 92.3 11.9 -33.7 99.0
2 1 2 106.0 -14.3 41.1 114.5
3 1 3 130.7 13.3 31.1 135.0
4 1 4 136.1 43.6 -4.2 143.0
5 1 5 30.7 -19.5 68.5 77.6
6 1 6 110.7 31.8 52.2 126.4
7 1 7 24.7 51.3 -15.0 58.9
8 1 8 28.9 46.4 58.9 80.4
9 1 9 20.9 -19.1 43.6 51.9
10 1 10 134.8 62.4 48.2 156.1
11 1 11 129.5 87.3 30.7 159.1
12 1 12 128.0 8.9 22.9 130.4
13 2 1 39.4 -46.7 -38.7 72.4
14 2 2 31.0 -72.9 -57.0 97.6
15 2 3 62.6 -38.9 -52.7 90.6
16 2 4 1.3 -35.6 -29.3 46.1
17 2 5 67.1 -37.9 8.8 77.5
18 2 6 71.3 -19.2 -2.1 73.9
19 2 7 2.1 -21.6 -12.9 25.2
20 2 8 92.1 -69.7 -64.1 132.1
21 2 9 30.0 -39.2 1.3 49.4
22 2 10 35.7 -13.2 26.6 46.4
23 2 11 20.1 -31.8 -5.4 38.0
24 2 12 6.1 -55.4 -56.4 79.3
25 2 13 18.2 32.2 -12.9 39.2
26 2 14 37.8 -74.9 -9.6 84.5
27 2 15 31.6 -0.6 -58.9 66.8
28 2 16 20.6 -2.0 -15.7 26.0
29 2 17 -0.1 -12.7 -26.8 29.7
30 2 18 44.3 -21.9 -69.4 85.2
31 2 19 2.2 -35.6 -53.6 64.3
32 2 20 83.8 -70.7 -18.3 111.2
33 2 21 88.2 37.4 -64.6 115.6
34 2 22 -50.5 -71.0 -75.5 115.3
35 2 23 117.0 -26.9 -31.4 124.1
36 2 24 65.2 -53.6 -91.7 124.6
37 3 1 -23.9 7.8 -34.6 42.8
38 3 2 -22.0 7.0 -56.4 61.0
39 3 3 -5.1 3.1 -77.2 77.5
40 3 4 -26.2 2.7 -53.4 59.5
41 3 5 -48.9 -12.4 -77.1 92.2
42 3 6 -41.3 11.9 -60.1 73.9
43 3 7 0.6 8.8 -74.7 75.2
44 3 8 -8.7 2.8 -43.4 44.4
45 3 9 19.9 -6.8 -69.1 72.3
46 3 10 46.2 24.1 -41.2 66.5
47 3 11 -24.5 12.4 -55.4 61.8
48 3 12 20.3 24.5 -27.8 42.3
49 3 13 -17.1 9.9 -38.5 43.2
50 3 14 -17.4 28.2 -47.6 57.9
51 3 15 -4.3 25.2 -24.0 35.1
52 3 16 14.1 23.7 -34.5 44.2
53 3 17 51.0 6.4 -40.0 65.1
54 3 18 37.1 31.6 -4.5 48.9
55 3 19 20.5 25.1 -87.4 93.3
56 3 20 -46.9 3.3 -40.9 62.3
57 3 21 -43.5 11.4 -66.9 80.6
58 3 22 1.0 31.4 -4.7 31.8
59 3 23 -48.6 12.9 -35.6 61.7
60 3 24 9.0 1.3 -44.8 45.8
61 3 25 -10.6 -4.2 -33.5 35.4
62 3 26 -51.4 6.1 -1.1 51.7
63 3 27 -55.1 11.4 -69.5 89.4
64 3 28 -22.3 -3.6 -92.9 95.6
65 3 29 -15.2 -15.0 -51.9 56.1
66 3 30 0.4 3.7 -60.3 60.4
67 3 31 -34.2 23.4 -27.0 49.4
68 3 32 -21.4 -12.8 -87.8 91.3
69 3 33 -13.0 19.2 -37.4 44.0
70 3 34 17.3 12.1 -26.3 33.8
71 3 35 -8.7 31.9 -81.6 88.0
72 3 36 50.5 12.0 -32.3 61.1
73 3 37 -40.4 10.7 -81.1 91.3
74 3 38 -38.8 30.3 -63.6 80.4
75 3 39 13.4 10.6 -61.6 63.9
76 3 40 -11.7 30.0 -68.9 76.1
77 3 41 19.2 30.3 -13.0 38.2
78 3 42 31.6 36.0 -31.4 57.3
79 3 43 -13.8 38.9 -40.3 57.7
80 3 44 24.3 7.4 -2.1 25.5
81 3 45 4.1 26.3 -65.6 70.8
82 3 46 14.5 18.2 -58.6 63.0
83 3 47 -58.9 9.9 -59.7 84.5
84 3 48 18.9 0.5 -54.4 57.6
85 4 1 -42.4 -25.7 -10.7 50.8
86 4 2 -5.9 -17.9 -117.3 118.9
87 4 3 -46.4 -20.1 -94.3 107.0
88 4 4 -26.0 -10.1 -128.4 131.4
89 4 5 2.6 -4.5 -70.1 70.3
90 4 6 -22.3 10.6 -79.0 82.8
91 4 7 -26.3 5.6 -37.1 45.8
92 4 8 -47.4 11.2 -88.4 100.9
93 4 9 -18.8 2.6 -39.2 43.6
94 4 10 -39.1 19.4 -64.4 77.8
95 4 11 -7.8 -18.1 -111.9 113.7
96 4 12 -82.9 49.7 -75.9 122.8
97 4 13 -4.1 14.4 10.0 18.0
98 4 14 55.4 14.3 -58.4 81.8
99 4 15 -58.9 -22.1 -66.1 91.3
100 4 16 -74.8 58.2 -45.3 105.1
101 4 17 -20.7 26.9 -70.2 78.0
102 4 18 19.6 21.0 -11.3 30.9
103 4 19 -59.9 8.8 -57.8 83.7
104 4 20 -12.6 23.2 -58.3 64.0
105 4 21 -21.2 6.4 -28.3 35.9
106 4 22 -125.6 23.9 57.8 140.3
107 4 23 -63.5 4.4 14.2 65.2
108 4 24 -49.7 24.9 19.7 59.0
109 4 25 -66.8 32.9 14.2 75.8
110 4 26 -29.9 13.1 -69.2 76.6
111 4 27 -47.2 42.0 38.5 74.0
112 4 28 -55.7 -27.0 -2.0 61.9
113 4 29 -120.3 2.7 -105.7 160.2
114 4 30 -106.3 -23.1 -24.1 111.4
115 4 31 -81.4 -20.3 -80.3 116.1
116 4 32 -92.4 -34.7 -56.4 113.7
117 4 33 -69.4 1.0 -20.2 72.3
118 4 34 -25.4 -21.8 -81.8 88.3
119 4 35 -27.1 12.7 -110.1 114.1
120 4 36 -70.5 10.3 -90.0 114.8
121 4 37 -59.1 31.5 -76.5 101.7
122 4 38 -27.5 -7.1 -113.0 116.5
123 4 39 -9.2 37.0 -1.2 38.2
124 4 40 8.0 24.1 -19.8 32.2
125 4 41 -15.5 76.6 -40.7 88.1
126 4 42 -12.8 38.6 -61.6 73.8
127 4 43 -38.5 27.0 -100.3 110.8
128 4 44 21.9 26.0 -27.4 43.7
129 4 45 13.9 24.6 -62.2 68.4
130 4 46 -15.4 -12.0 -74.3 76.8
131 4 47 -9.2 3.3 -97.2 97.7
132 4 48 -48.4 -18.8 -29.0 59.4
133 5 1 12.1 31.2 -40.1 52.2
134 5 2 -20.6 1.2 -44.8 49.3
135 5 3 -58.8 29.4 -92.3 113.3
136 5 4 -38.7 -13.2 -81.0 90.7
137 5 5 -36.8 -22.7 -121.4 128.9
138 5 6 -24.0 9.5 -116.4 119.3
139 5 7 -4.5 49.1 -27.4 56.4
140 5 8 -21.7 40.0 -82.2 93.9
141 5 9 -1.8 13.6 -40.8 43.0
142 5 10 -43.7 17.9 -71.7 85.9
143 5 11 -18.8 18.2 -6.7 27.1
144 5 12 -33.4 69.6 -35.5 85.0
145 5 13 -13.5 35.9 -44.8 59.0
146 5 14 -30.5 35.5 -15.0 49.2
147 5 15 -11.3 5.1 -60.4 61.6
148 5 16 -6.2 50.0 -14.6 52.4
149 5 17 13.6 23.5 44.0 51.7
150 5 18 7.6 16.3 155.9 156.9
151 5 19 -49.4 5.1 -47.1 68.5
152 5 20 -80.6 -10.4 -52.1 96.5
153 5 21 4.7 48.2 7.2 49.0
154 5 22 -11.6 28.7 12.6 33.4
155 5 23 -24.8 18.3 46.7 56.0
156 5 24 72.2 42.7 47.0 96.1
157 5 25 55.4 48.3 16.5 75.3
158 5 26 -17.7 20.5 36.6 45.6
159 5 27 10.8 20.5 -74.8 78.3
160 5 28 -40.1 12.8 -25.2 49.0
161 5 29 1.4 17.6 -67.8 70.0
162 5 30 -28.2 -14.6 35.9 47.9
163 5 31 -53.5 -2.8 -61.6 81.7
164 5 32 -98.0 -40.6 -31.6 110.7
165 5 33 -56.0 3.3 -77.6 95.8
166 5 34 -49.8 -62.3 -55.8 97.3
167 5 35 -22.5 7.8 -30.9 39.0
168 5 36 -53.6 5.3 -57.3 78.7
169 5 37 -29.3 44.2 -73.7 90.8
170 5 38 -39.7 31.8 -29.6 58.9
171 5 39 6.3 110.0 -62.6 126.7
172 5 40 -15.2 36.6 -22.5 45.6
173 5 41 46.7 80.4 11.0 93.6
174 5 42 -15.0 39.7 -48.4 64.3
175 5 43 3.4 36.8 -62.9 73.0
176 5 44 30.7 21.9 -51.5 63.9
177 5 45 36.8 50.0 -75.7 97.9
178 5 46 8.1 52.5 -58.8 79.3
179 5 47 -21.7 10.7 -48.2 53.9
180 5 48 9.1 37.8 -40.3 56.0
181 6 1 -8.5 15.1 -67.2 69.4
182 6 2 -23.0 -18.8 -92.9 97.5
183 6 3 -59.5 -19.0 -115.1 130.9
184 6 4 -39.7 -23.3 -149.5 156.5
185 6 5 -35.7 -29.6 -87.8 99.3
186 6 6 -24.1 1.4 -96.9 99.8
187 6 7 -15.2 -17.7 -101.2 103.8
188 6 8 -34.7 1.0 -72.6 80.5
189 6 9 -29.7 -6.1 -67.4 73.9
190 6 10 -101.2 54.0 -69.0 133.9
191 6 11 54.3 25.5 -26.6 65.7
192 6 12 -1.7 28.0 -25.8 38.1
193 6 13 -2.5 28.4 -65.5 71.4
194 6 14 -9.8 46.0 -91.0 102.4
195 6 15 -55.1 14.6 -64.3 85.9
196 6 16 -40.6 41.5 -94.3 110.7
197 6 17 -57.3 1.1 -62.5 84.8
198 6 18 -55.3 37.8 -159.3 172.8
199 6 19 44.3 22.3 -4.5 49.8
200 6 20 -8.5 48.4 82.3 95.9
201 6 21 -36.6 61.1 -38.2 80.8
202 6 22 34.3 94.4 -5.1 100.6
203 6 23 33.1 62.9 117.2 137.1
204 6 24 8.0 52.6 7.5 53.8
205 6 25 -36.2 50.0 -87.7 107.3
206 6 26 -1.6 -11.9 -31.5 33.7
207 6 27 -99.7 22.6 -62.4 119.7
208 6 28 -120.0 -44.7 -79.8 150.9
209 6 29 -139.3 44.5 -74.2 164.0
210 6 30 -67.6 18.6 28.5 75.7
211 6 31 -61.8 33.5 -26.9 75.3
212 6 32 -77.8 -100.1 -6.7 127.0
213 6 33 -109.5 2.8 -64.0 126.8
214 6 34 -142.7 -4.7 -118.8 185.7
215 6 35 -46.8 -5.6 -47.9 67.2
216 6 36 -29.2 24.2 19.5 42.7
217 6 37 -4.0 23.1 29.4 37.5
218 6 38 52.5 61.1 1.6 80.6
219 6 39 7.7 92.5 15.7 94.2
220 6 40 34.2 82.2 -16.1 90.4
221 6 41 24.9 65.7 4.0 70.4
222 6 42 73.6 15.2 39.7 85.0
223 6 43 -18.7 32.1 70.7 79.9
224 6 44 11.0 27.1 32.8 44.0
225 6 45 22.5 91.5 -87.9 128.9
226 6 46 -9.3 48.9 -43.4 66.0
227 6 47 -12.1 23.6 -27.4 38.1
228 6 48 3.6 19.8 -17.2 26.4
229 7 1 -47.7 48.1 -43.4 80.5
230 7 2 -78.0 -14.7 -84.3 115.8
231 7 3 -53.0 -9.2 -77.1 94.0
232 7 4 -19.7 -88.0 -33.0 96.0
233 7 5 -33.2 -39.6 -73.2 89.6
234 7 6 -52.8 26.1 -72.0 93.0
235 7 7 -36.9 2.7 -50.4 62.5
236 7 8 3.2 15.0 -57.8 59.7
237 7 9 38.8 -73.1 12.8 83.7
238 7 10 -14.0 81.2 7.8 82.7
239 7 11 21.9 31.1 -15.7 41.1
240 7 12 22.7 66.0 44.9 83.0
241 7 13 -26.9 63.3 -3.5 68.8
242 7 14 -26.7 71.5 13.3 77.4
243 7 15 -44.7 27.7 4.7 52.8
244 7 16 -3.8 -37.3 -25.0 45.1
245 7 17 5.5 35.7 -18.6 40.6
246 7 18 -23.5 86.7 -20.0 92.0
247 7 19 33.7 21.0 74.0 84.0
248 7 20 26.6 25.1 -18.1 40.8
249 7 21 101.6 -11.3 142.2 175.2
250 7 22 -2.7 63.6 104.3 122.2
251 7 23 115.5 84.8 55.8 153.7
252 7 24 51.2 72.0 70.9 113.3
253 7 25 -10.0 65.8 -15.2 68.2
254 7 26 1.2 64.2 -9.6 65.0
255 7 27 -41.2 82.3 2.4 92.1
256 7 28 -59.2 -110.3 240.5 271.1
257 7 29 13.1 -109.0 -111.5 156.5
258 7 30 -38.5 -50.4 -75.9 98.9
259 7 31 -99.6 -24.9 -156.2 187.0
260 7 32 -25.3 -53.6 -133.2 145.8
261 7 33 -72.5 -26.5 -115.8 139.2
262 7 34 -16.8 -33.7 -120.2 126.0
263 7 35 -21.0 25.7 -70.2 77.6
264 7 36 22.0 17.8 -43.8 52.2
265 7 37 27.3 58.4 10.7 65.4
266 7 38 36.3 77.6 2.3 85.7
267 7 39 141.7 140.4 10.7 199.7
268 7 40 85.3 63.0 50.7 117.5
269 7 41 66.8 72.4 18.8 100.3
270 7 42 69.5 47.1 -0.5 84.0
271 7 43 -14.4 81.8 -53.4 98.7
272 7 44 40.9 79.6 -6.2 89.7
273 7 45 46.2 -23.1 34.0 61.9
274 7 46 100.2 38.6 3.9 107.5
275 7 47 35.5 72.7 -79.8 113.7
276 7 48 17.4 173.3 40.0 178.7
Creating sector-motor-move file
sector motor steps
1 1 -10
1 2 -26
1 3 -6
1 4 -45
1 5 -7
1 6 -12
1 7 -23
1 8 -2
1 9 -16
1 10 -35
1 11 -5
1 12 -18
1 13 -25
1 14 -4
1 15 -23
1 16 -28
1 17 -5
1 18 -7
1 19 -13
1 20 14
1 21 -14
1 22 -20
1 23 4
1 24 -2
1 25 -24
1 26 -4
1 27 -11
1 28 -39
1 29 -3
1 30 -7
1 31 -28
1 32 9
1 33 -18
1 34 -28
1 35 -6
1 36 -14
1 37 -13
1 38 0
1 39 -6
1 40 -35
1 41 -5
1 42 -1
1 43 -12
1 44 9
1 45 3
1 46 -3
1 47 -7
1 48 -13
1 49 -23
1 50 0
1 51 -1
1 52 -17
1 53 -22
1 54 9
1 55 -17
1 56 2
1 57 -6
1 58 3
1 59 28
1 60 -10
1 61 -10
1 62 2
1 63 -7
1 64 -11
1 65 12
1 66 -11
1 67 -16
1 68 0
1 69 -8
2 1 -17
2 2 4
2 3 0
2 4 -22
2 5 0
2 6 -10
2 7 -15
2 8 0
2 9 -11
2 10 -31
2 11 -5
2 12 -4
2 13 -22
2 14 8
2 15 -16
2 16 -29
2 17 0
2 18 -7
2 19 -22
2 20 -12
2 21 -10
2 22 -26
2 23 -9
2 24 -10
2 25 -25
2 26 12
2 27 -6
2 28 -27
2 29 3
2 30 -14
2 31 -8
2 32 15
2 33 -1
2 34 -11
2 35 1
2 36 -8
2 37 -35
2 38 2
2 39 -7
2 40 -24
2 41 3
2 42 -6
2 43 -37
2 44 -6
2 45 -11
2 46 -21
2 47 -1
2 48 0
2 49 -22
2 50 2
2 51 0
2 52 -9
2 53 -10
2 54 0
2 55 -18
2 56 3
2 57 -12
2 58 -4
2 59 32
2 60 12
2 61 -23
2 62 -3
2 63 -15
2 64 -11
2 65 19
2 66 -16
2 67 -13
2 68 0
2 69 -2
3 1 13
3 2 20
3 3 6
3 4 -7
3 5 8
3 6 0
3 7 -4
3 8 9
3 9 6
3 10 -8
3 11 7
3 12 16
3 13 2
3 14 24
3 15 -4
3 16 -21
3 17 16
3 18 -31
3 19 3
3 20 -22
3 21 11
3 22 -20
3 23 -1
3 24 -9
3 25 -10
3 26 21
3 27 -10
3 28 -23
3 29 15
3 30 -25
3 31 -2
3 32 5
3 33 -5
3 34 -34
3 35 -5
3 36 -2
3 37 -22
3 38 5
3 39 -13
3 40 -19
3 41 5
3 42 -12
3 43 -12
3 44 4
3 45 0
3 46 -12
3 47 0
3 48 -5
3 49 -17
3 50 3
3 51 -7
3 52 0
3 53 -5
3 54 21
3 55 -12
3 56 7
3 57 14
3 58 4
3 59 40
3 60 9
3 61 -21
3 62 -2
3 63 6
3 64 -6
3 65 20
3 66 2
3 67 -8
3 68 7
3 69 6
4 1 -7
4 2 -11
4 3 -1
4 4 -28
4 5 12
4 6 -12
4 7 1
4 8 8
4 9 -13
4 10 -19
4 11 4
4 12 -16
4 13 4
4 14 21
4 15 -8
4 16 -27
4 17 14
4 18 -3
4 19 -1
4 20 19
4 21 -8
4 22 -20
4 23 8
4 24 0
4 25 -4
4 26 15
4 27 -1
4 28 -13
4 29 17
4 30 -22
4 31 -18
4 32 1
4 33 -3
4 34 -20
4 35 -6
4 36 -18
4 37 -4
4 38 10
4 39 -9
4 40 -17
4 41 4
4 42 17
4 43 -13
4 44 11
4 45 -4
4 46 3
4 47 4
4 48 -1
4 49 -7
4 50 7
4 51 -1
4 52 -19
4 53 -21
4 54 28
4 55 -14
4 56 8
4 57 -5
4 58 13
4 59 41
4 60 -1
4 61 -11
4 62 3
4 63 -5
4 64 -12
4 65 0
4 66 -3
4 67 -10
4 68 7
4 69 4
5 1 -5
5 2 7
5 3 8
5 4 25
5 5 14
5 6 -2
5 7 22
5 8 6
5 9 10
5 10 -1
5 11 6
5 12 13
5 13 -6
5 14 26
5 15 -7
5 16 -48
5 17 11
5 18 -16
5 19 -5
5 20 10
5 21 1
5 22 -19
5 23 0
5 24 -17
5 25 -15
5 26 -3
5 27 -24
5 28 -17
5 29 7
5 30 -3
5 31 -14
5 32 1
5 33 -15
5 34 -17
5 35 2
5 36 -18
5 37 47
5 38 5
5 39 2
5 40 -3
5 41 6
5 42 6
5 43 13
5 44 7
5 45 4
5 46 -21
5 47 8
5 48 -6
5 49 -26
5 50 7
5 51 6
5 52 8
5 53 -4
5 54 10
5 55 -1
5 56 9
5 57 11
5 58 -5
5 59 9
5 60 21
5 61 -12
5 62 1
5 63 15
5 64 -9
5 65 9
5 66 0
5 67 -12
5 68 1
5 69 -14
6 1 21
6 2 22
6 3 15
6 4 2
6 5 16
6 6 2
6 7 17
6 8 25
6 9 35
6 10 35
6 11 19
6 12 10
6 13 32
6 14 19
6 15 0
6 16 -1
6 17 28
6 18 10
6 19 43
6 20 -3
6 21 31
6 22 -11
6 23 18
6 24 -11
6 25 14
6 26 13
6 27 22
6 28 6
6 29 7
6 30 -15
6 31 14
6 32 5
6 33 -7
6 34 4
6 35 1
6 36 -19
6 37 3
6 38 8
6 39 -3
6 40 17
6 41 7
6 42 -38
6 43 2
6 44 14
6 45 1
6 46 -8
6 47 1
6 48 -6
6 49 -10
6 50 3
6 51 -14
6 52 -17
6 53 -16
6 54 1
6 55 -1
6 56 9
6 57 0
6 58 9
6 59 33
6 60 16
6 61 -20
6 62 3
6 63 -13
6 64 9
6 65 6
6 66 -1
6 67 -13
6 68 0
6 69 2
7 1 73
7 2 -33
7 3 -18
7 4 -24
7 5 -13
7 6 -36
7 7 0
7 8 25
7 9 -12
7 10 -19
7 11 6
7 12 -30
7 13 -2
7 14 19
7 15 0
7 16 -9
7 17 -3
7 18 0
7 19 -4
7 20 20
7 21 -3
7 22 -26
7 23 15
7 24 -11
7 25 -7
7 26 3
7 27 -12
7 28 0
7 29 -8
7 30 -17
7 31 -22
7 32 6
7 33 3
7 34 11
7 35 12
7 36 -14
7 37 11
7 38 6
7 39 -5
7 40 -21
7 41 4
7 42 -9
7 43 5
7 44 14
7 45 16
7 46 4
7 47 10
7 48 -20
7 49 -21
7 50 3
7 51 -16
7 52 -2
7 53 -22
7 54 11
7 55 0
7 56 1
7 57 -15
7 58 15
7 59 7
7 60 -4
7 61 -10
7 62 -1
7 63 -3
7 64 0
7 65 5
7 66 -3
7 67 -28
7 68 -1
7 69 -6
8 1 -40
8 2 -16
8 3 -7
8 4 -2
8 5 -30
8 6 -23
8 7 -47
8 8 -7
8 9 -30
8 10 -8
8 11 10
8 12 -18
8 13 -23
8 14 -15
8 15 -11
8 16 8
8 17 5
8 18 -20
8 19 -34
8 20 -33
8 21 4
8 22 -22
8 23 13
8 24 -42
8 25 -9
8 26 -12
8 27 -30
8 28 -17
8 29 -10
8 30 -28
8 31 -18
8 32 0
8 33 -16
8 34 -24
8 35 -6
8 36 -24
8 37 11
8 38 -4
8 39 -8
8 40 -7
8 41 -7
8 42 -32
8 43 -20
8 44 5
8 45 0
8 46 -32
8 47 0
8 48 -36
8 49 -8
8 50 7
8 51 -10
8 52 -4
8 53 0
8 54 6
8 55 -18
8 56 1
8 57 0
8 58 14
8 59 8
8 60 18
8 61 -15
8 62 -4
8 63 -4
8 64 -3
8 65 9
8 66 -18
8 67 -26
8 68 -3
8 69 -6
9 1 -13
9 2 5
9 3 6
9 4 5
9 5 7
9 6 -8
9 7 -21
9 8 7
9 9 -6
9 10 -14
9 11 -1
9 12 -14
9 13 -36
9 14 -10
9 15 -5
9 16 -36
9 17 -1
9 18 -43
9 19 -35
9 20 -8
9 21 -22
9 22 -19
9 23 0
9 24 -33
9 25 -17
9 26 1
9 27 -16
9 28 -27
9 29 3
9 30 -21
9 31 -9
9 32 2
9 33 -6
9 34 -33
9 35 3
9 36 -8
9 37 -17
9 38 -19
9 39 -15
9 40 -25
9 41 -6
9 42 -7
9 43 -23
9 44 1
9 45 -17
9 46 -6
9 47 0
9 48 -21
9 49 -25
9 50 9
9 51 -2
9 52 -21
9 53 -6
9 54 13
9 55 -8
9 56 3
9 57 5
9 58 -5
9 59 6
9 60 13
9 61 -11
9 62 5
9 63 -3
9 64 -10
9 65 0
9 66 -8
9 67 -9
9 68 3
9 69 15
10 1 15
10 2 19
10 3 26
10 4 -4
10 5 25
10 6 10
10 7 3
10 8 43
10 9 43
10 10 4
10 11 28
10 12 2
10 13 0
10 14 23
10 15 11
10 16 0
10 17 18
10 18 16
10 19 3
10 20 17
10 21 8
10 22 9
10 23 7
10 24 -1
10 25 -6
10 26 11
10 27 -4
10 28 -6
10 29 7
10 30 2
10 31 -19
10 32 33
10 33 1
10 34 0
10 35 11
10 36 -2
10 37 -9
10 38 9
10 39 -12
10 40 -34
10 41 -2
10 42 -8
10 43 -22
10 44 13
10 45 -8
10 46 -23
10 47 9
10 48 -18
10 49 -18
10 50 3
10 51 4
10 52 -5
10 53 -21
10 54 25
10 55 -19
10 56 9
10 57 -11
10 58 19
10 59 41
10 60 14
10 61 -24
10 62 3
10 63 -12
10 64 11
10 65 0
10 66 -16
10 67 -21
10 68 9
10 69 -3
11 1 -1
11 2 24
11 3 12
11 4 10
11 5 8
11 6 3
11 7 -16
11 8 25
11 9 -4
11 10 21
11 11 9
11 12 -5
11 13 0
11 14 14
11 15 21
11 16 12
11 17 4
11 18 22
11 19 5
11 20 22
11 21 20
11 22 1
11 23 20
11 24 7
11 25 -15
11 26 6
11 27 9
11 28 -8
11 29 7
11 30 6
11 31 -19
11 32 11
11 33 1
11 34 -30
11 35 8
11 36 -11
11 37 -14
11 38 12
11 39 -4
11 40 -18
11 41 11
11 42 -3
11 43 3
11 44 24
11 45 14
11 46 -12
11 47 23
11 48 -4
11 49 -12
11 50 11
11 51 -4
11 52 -23
11 53 -21
11 54 -15
11 55 -9
11 56 11
11 57 9
11 58 26
11 59 39
11 60 9
11 61 -3
11 62 9
11 63 5
11 64 -8
11 65 27
11 66 -19
11 67 0
11 68 2
11 69 7
12 1 12
12 2 53
12 3 5
12 4 -5
12 5 6
12 6 1
12 7 -24
12 8 22
12 9 10
12 10 -8
12 11 7
12 12 -3
12 13 1
12 14 11
12 15 30
12 16 -13
12 17 15
12 18 -2
12 19 10
12 20 -7
12 21 14
12 22 -26
12 23 28
12 24 6
12 25 -12
12 26 11
12 27 2
12 28 -8
12 29 -5
12 30 -14
12 31 -14
12 32 3
12 33 -6
12 34 -29
12 35 1
12 36 -2
12 37 -18
12 38 16
12 39 2
12 40 -22
12 41 -3
12 42 -4
12 43 -23
12 44 15
12 45 11
12 46 -19
12 47 7
12 48 4
12 49 -18
12 50 3
12 51 -18
12 52 -28
12 53 -16
12 54 19
12 55 -17
12 56 5
12 57 4
12 58 2
12 59 39
12 60 7
12 61 -20
12 62 8
12 63 1
12 64 -14
12 65 35
12 66 -9
12 67 -16
12 68 0
12 69 5
Adjuster movements: rms = 51.6 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050727-101843
Creating HTML output file of plots
Plotting summary text