![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20040909-015400.fits
Reduced on 20040909-093837 by janw on moana
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 | rxh3-20040909-015400.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -4.5 |
| data.pointing_offset_y | 15.2 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.77 |
| 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 | 0.033770000000000001 |
| 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: 20040909-093837
Reading data from rxh3-20040909-015400.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.6 max = 2429.8 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.770 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 -3.05664 3.03711 -0.01015
loimag -3.22021 3.12256 -0.00806
hireal -5.00000 4.99756 -0.08823
hiimag -5.00000 4.99756 -0.05973
xpos -2429.78597 2420.71077 -7.39871
ypos -2402.58430 2402.87898 -0.00554
plock160 0.72754 2.14844 1.49091
lorefpwr 0.32227 1.67236 1.24565
losigpwr -4.56299 -0.23926 -4.38488
hirefpwr 0.39307 1.71387 1.29709
hisigpwr -4.47266 4.99756 -0.83631
encltemp 31.54297 32.83691 32.11622
flags 0.00000 256.00000 2.76738
phi-lock -1.35498 0.02441 -0.70283
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.98062 1473.09231
zeropt -0.00732 -0.00244 -0.00469
!!!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 = 40.00618 arcsec
Mean row spacing = 40.00620 arcsec (alternate estimator)
Mean tracking incline = -0.04930 arcsec
Mean pointing range = 0.56339 arcsec
Mean pointing rms = 0.10325 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-4.5, 15.2 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22674 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22674 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 = 2429.79 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373025
scale = 0.00129968
Diffraction scale lambda/D = 51.3137 arcsec
Gridding function extent = 307.882 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.941 arcsec
Airy first null at 62.5858 arcsec
Gridding frequency index 0
lambda = 0.00373164 metres, scale = 0.0012992 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 2.90386 at (0.0, 0.0) arcsec
Real: mean = 0.00122221 sum of squares = 1072.76
Imag: mean = -0.00139149 sum of squares = 921.187
Gridding frequency index 1
lambda = 0.00373155 metres, scale = 0.00129923 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 2.8975 at (0.0, 0.0) arcsec
Real: mean = 0.000999639 sum of squares = 1002.8
Imag: mean = -0.00180485 sum of squares = 991.346
Gridding frequency index 2
lambda = 0.00373145 metres, scale = 0.00129926 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 2.90507 at (0.0, 0.0) arcsec
Real: mean = 0.00103131 sum of squares = 926.925
Imag: mean = -0.00245714 sum of squares = 1066.25
Gridding frequency index 3
lambda = 0.00373136 metres, scale = 0.00129929 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 2.92854 at (0.0, 0.0) arcsec
Real: mean = 0.00155674 sum of squares = 898.883
Imag: mean = -0.00301428 sum of squares = 1094.94
Gridding frequency index 4
lambda = 0.00373127 metres, scale = 0.00129933 radians per metre
Gridding real part of frequency 4...
Gridding imag part of frequency 4...
Pattern is holo(res.pattern4)
Weights in holo(obs.real,wt4) and holo(obs.imag,wt4)
Maximum amplitude = 2.96267 at (0.0, 0.0) arcsec
Real: mean = 0.0022275 sum of squares = 942.03
Imag: mean = -0.00308142 sum of squares = 1054.2
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 = 3.02061 at (0.0, 0.0) arcsec
Real: mean = 0.00267696 sum of squares = 1030.09
Imag: mean = -0.0028136 sum of squares = 971.999
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 = 3.07699 at (0.0, 0.0) arcsec
Real: mean = 0.00286781 sum of squares = 1098.8
Imag: mean = -0.00255284 sum of squares = 909.202
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 = 3.12135 at (0.0, 0.0) arcsec
Real: mean = 0.00310272 sum of squares = 1097.65
Imag: mean = -0.00241741 sum of squares = 916.072
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 = 3.13032 at (0.0, 0.0) arcsec
Real: mean = 0.00343145 sum of squares = 1029.36
Imag: mean = -0.00204165 sum of squares = 989.437
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 = 3.11667 at (0.0, 0.0) arcsec
Real: mean = 0.00351776 sum of squares = 946.681
Imag: mean = -0.00140923 sum of squares = 1075.8
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 = 3.08229 at (0.0, 0.0) arcsec
Real: mean = 0.0031171 sum of squares = 911.417
Imag: mean = -0.000796975 sum of squares = 1114.39
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 = 3.04698 at (0.0, 0.0) arcsec
Real: mean = 0.00251166 sum of squares = 952.384
Imag: mean = -0.000666019 sum of squares = 1076.04
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 = 3.01518 at (0.0, 0.0) arcsec
Real: mean = 0.00205666 sum of squares = 1038.11
Imag: mean = -0.000825396 sum of squares = 993.743
Gridding frequency index 13
lambda = 0.00373043 metres, scale = 0.00129962 radians per metre
Gridding real part of frequency 13...
Gridding imag part of frequency 13...
Pattern is holo(res.pattern13)
Weights in holo(obs.real,wt13) and holo(obs.imag,wt13)
Maximum amplitude = 2.99235 at (0.0, 0.0) arcsec
Real: mean = 0.0017541 sum of squares = 1105.41
Imag: mean = -0.00101026 sum of squares = 930.329
Gridding frequency index 14
lambda = 0.00373034 metres, scale = 0.00129965 radians per metre
Gridding real part of frequency 14...
Gridding imag part of frequency 14...
Pattern is holo(res.pattern14)
Weights in holo(obs.real,wt14) and holo(obs.imag,wt14)
Maximum amplitude = 2.97874 at (0.0, 0.0) arcsec
Real: mean = 0.00151079 sum of squares = 1111.78
Imag: mean = -0.00125745 sum of squares = 928.378
Gridding frequency index 15
lambda = 0.00373025 metres, scale = 0.00129968 radians per metre
Gridding real part of frequency 15...
Gridding imag part of frequency 15...
Pattern is holo(res.pattern15)
Weights in holo(obs.real,wt15) and holo(obs.imag,wt15)
Maximum amplitude = 2.97952 at (0.0, 0.0) arcsec
Real: mean = 0.00138387 sum of squares = 1054.35
Imag: mean = -0.00172655 sum of squares = 989.705
Masking frequency index 0
Mask scale size = 3.059
Masking frequency index 1
Mask scale size = 3.05908
Masking frequency index 2
Mask scale size = 3.05916
Masking frequency index 3
Mask scale size = 3.05923
Masking frequency index 4
Mask scale size = 3.05931
Masking frequency index 5
Mask scale size = 3.05938
Masking frequency index 6
Mask scale size = 3.05946
Masking frequency index 7
Mask scale size = 3.05954
Masking frequency index 8
Mask scale size = 3.05961
Masking frequency index 9
Mask scale size = 3.05969
Masking frequency index 10
Mask scale size = 3.05976
Masking frequency index 11
Mask scale size = 3.05984
Masking frequency index 12
Mask scale size = 3.05992
Masking frequency index 13
Mask scale size = 3.05999
Masking frequency index 14
Mask scale size = 3.06007
Masking frequency index 15
Mask scale size = 3.06015
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.163574
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.168457
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.012207
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.332 109.16
Freq 1: Shift, scale = -0.10092 108.54
Freq 2: Shift, scale = -0.53447 107.1
Freq 3: Shift, scale = -0.96791 105.31
Freq 4: Shift, scale = -1.4033 103.56
Freq 5: Shift, scale = -1.8435 102.72
Freq 6: Shift, scale = -2.2872 102.47
Freq 7: Shift, scale = -2.7359 103.18
Freq 8: Shift, scale = 3.0967 104.4
Freq 9: Shift, scale = 2.6508 105.69
Freq 10: Shift, scale = 2.2101 107.26
Freq 11: Shift, scale = 1.7744 108.81
Freq 12: Shift, scale = 1.3416 109.89
Freq 13: Shift, scale = 0.90813 110.62
Freq 14: Shift, scale = 0.4786 110.55
Freq 15: Shift, scale = 0.047295 109.84
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: -0.168 radians
x offset: 0.0174 arcsec
y offset: -0.0227 arcsec
defocus: -0.00397 mm
Estimated x pointing error is -4.483 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.766 mm (used 2.77 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.163 radians
x offset: -0.00101 arcsec
y offset: -0.0151 arcsec
defocus: -0.00533 mm
Estimated x pointing error is -4.501 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.765 mm (used 2.77 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.158 radians
x offset: -0.00566 arcsec
y offset: -0.00727 arcsec
defocus: -0.00572 mm
Estimated x pointing error is -4.506 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.19 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.764 mm (used 2.77 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.156 radians
x offset: -0.0171 arcsec
y offset: -0.00759 arcsec
defocus: -0.00711 mm
Estimated x pointing error is -4.517 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.19 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.763 mm (used 2.77 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.155 radians
x offset: -0.0224 arcsec
y offset: 0.00677 arcsec
defocus: -0.00882 mm
Estimated x pointing error is -4.522 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.761 mm (used 2.77 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.157 radians
x offset: -0.0422 arcsec
y offset: 0.0121 arcsec
defocus: -0.00859 mm
Estimated x pointing error is -4.542 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.761 mm (used 2.77 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.163 radians
x offset: -0.0586 arcsec
y offset: 0.0101 arcsec
defocus: -0.00813 mm
Estimated x pointing error is -4.559 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.21 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.762 mm (used 2.77 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.174 radians
x offset: -0.064 arcsec
y offset: -0.000484 arcsec
defocus: -0.00817 mm
Estimated x pointing error is -4.564 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.2 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.762 mm (used 2.77 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.185 radians
x offset: -0.0457 arcsec
y offset: -0.0209 arcsec
defocus: -0.00582 mm
Estimated x pointing error is -4.546 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.18 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.764 mm (used 2.77 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.194 radians
x offset: -0.0195 arcsec
y offset: -0.049 arcsec
defocus: -0.00611 mm
Estimated x pointing error is -4.519 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.15 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.764 mm (used 2.77 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.196 radians
x offset: 0.0109 arcsec
y offset: -0.0778 arcsec
defocus: -0.00604 mm
Estimated x pointing error is -4.489 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.12 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.764 mm (used 2.77 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.195 radians
x offset: 0.0491 arcsec
y offset: -0.103 arcsec
defocus: -0.00757 mm
Estimated x pointing error is -4.451 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.762 mm (used 2.77 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.189 radians
x offset: 0.0919 arcsec
y offset: -0.107 arcsec
defocus: -0.00879 mm
Estimated x pointing error is -4.408 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.09 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.761 mm (used 2.77 mm)
Fitting frequency 13
Minimiser fit code = 2
piston: -0.185 radians
x offset: 0.117 arcsec
y offset: -0.11 arcsec
defocus: -0.00996 mm
Estimated x pointing error is -4.383 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.09 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.76 mm (used 2.77 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.177 radians
x offset: 0.11 arcsec
y offset: -0.0995 arcsec
defocus: -0.0124 mm
Estimated x pointing error is -4.39 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.758 mm (used 2.77 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.169 radians
x offset: 0.0934 arcsec
y offset: -0.101 arcsec
defocus: -0.0136 mm
Estimated x pointing error is -4.407 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.1 arcsec (used 15.2 arcsec)
Estimated defocus error is 2.756 mm (used 2.77 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 -0.00054 piston
1 1 0.00149 tilt_x
1 -1 0.01245 tilt_y
2 2 0.04200 astigmatism_0
2 0 -0.00012 curvature
2 -2 0.01698 astigmatism45
3 3 -0.01208 trefoil_0
3 1 -0.00851 coma_x
3 -1 0.03165 coma_y
3 -3 -0.04044 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 0.00111 tilt_x
1 -1 0.01275 tilt_y
2 2 0.04133 astigmatism_0
2 0 -0.00002 curvature
2 -2 0.01697 astigmatism45
3 3 -0.01248 trefoil_0
3 1 -0.00954 coma_x
3 -1 0.03248 coma_y
3 -3 -0.04066 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 0.00159 tilt_x
1 -1 0.01337 tilt_y
2 2 0.04122 astigmatism_0
2 0 0.00028 curvature
2 -2 0.01558 astigmatism45
3 3 -0.01236 trefoil_0
3 1 -0.00772 coma_x
3 -1 0.03458 coma_y
3 -3 -0.04062 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 -0.00048 piston
1 1 0.00201 tilt_x
1 -1 0.01448 tilt_y
2 2 0.04049 astigmatism_0
2 0 0.00049 curvature
2 -2 0.01483 astigmatism45
3 3 -0.01396 trefoil_0
3 1 -0.00598 coma_x
3 -1 0.03802 coma_y
3 -3 -0.04107 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 -0.00050 piston
1 1 0.00273 tilt_x
1 -1 0.01525 tilt_y
2 2 0.04073 astigmatism_0
2 0 0.00061 curvature
2 -2 0.01446 astigmatism45
3 3 -0.01442 trefoil_0
3 1 -0.00348 coma_x
3 -1 0.04036 coma_y
3 -3 -0.04032 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 -0.00053 piston
1 1 0.00320 tilt_x
1 -1 0.01557 tilt_y
2 2 0.04204 astigmatism_0
2 0 0.00053 curvature
2 -2 0.01558 astigmatism45
3 3 -0.01518 trefoil_0
3 1 -0.00235 coma_x
3 -1 0.04108 coma_y
3 -3 -0.03994 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 -0.00055 piston
1 1 0.00357 tilt_x
1 -1 0.01543 tilt_y
2 2 0.04313 astigmatism_0
2 0 0.00041 curvature
2 -2 0.01593 astigmatism45
3 3 -0.01461 trefoil_0
3 1 -0.00148 coma_x
3 -1 0.04059 coma_y
3 -3 -0.03892 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 -0.00058 piston
1 1 0.00382 tilt_x
1 -1 0.01500 tilt_y
2 2 0.04428 astigmatism_0
2 0 0.00019 curvature
2 -2 0.01702 astigmatism45
3 3 -0.01464 trefoil_0
3 1 -0.00122 coma_x
3 -1 0.03915 coma_y
3 -3 -0.03792 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 -0.00056 piston
1 1 0.00408 tilt_x
1 -1 0.01476 tilt_y
2 2 0.04474 astigmatism_0
2 0 0.00018 curvature
2 -2 0.01646 astigmatism45
3 3 -0.01448 trefoil_0
3 1 -0.00069 coma_x
3 -1 0.03868 coma_y
3 -3 -0.03716 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 -0.00058 piston
1 1 0.00375 tilt_x
1 -1 0.01421 tilt_y
2 2 0.04527 astigmatism_0
2 0 -0.00006 curvature
2 -2 0.01622 astigmatism45
3 3 -0.01406 trefoil_0
3 1 -0.00212 coma_x
3 -1 0.03724 coma_y
3 -3 -0.03678 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 -0.00058 piston
1 1 0.00347 tilt_x
1 -1 0.01435 tilt_y
2 2 0.04487 astigmatism_0
2 0 -0.00015 curvature
2 -2 0.01452 astigmatism45
3 3 -0.01440 trefoil_0
3 1 -0.00300 coma_x
3 -1 0.03820 coma_y
3 -3 -0.03692 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 -0.00057 piston
1 1 0.00309 tilt_x
1 -1 0.01382 tilt_y
2 2 0.04433 astigmatism_0
2 0 -0.00018 curvature
2 -2 0.01384 astigmatism45
3 3 -0.01558 trefoil_0
3 1 -0.00429 coma_x
3 -1 0.03695 coma_y
3 -3 -0.03697 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 -0.00052 piston
1 1 0.00307 tilt_x
1 -1 0.01355 tilt_y
2 2 0.04328 astigmatism_0
2 0 0.00002 curvature
2 -2 0.01313 astigmatism45
3 3 -0.01730 trefoil_0
3 1 -0.00423 coma_x
3 -1 0.03639 coma_y
3 -3 -0.03832 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 -0.00048 piston
1 1 0.00327 tilt_x
1 -1 0.01333 tilt_y
2 2 0.04313 astigmatism_0
2 0 0.00027 curvature
2 -2 0.01341 astigmatism45
3 3 -0.01815 trefoil_0
3 1 -0.00356 coma_x
3 -1 0.03570 coma_y
3 -3 -0.03888 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 -0.00046 piston
1 1 0.00303 tilt_x
1 -1 0.01345 tilt_y
2 2 0.04293 astigmatism_0
2 0 0.00035 curvature
2 -2 0.01359 astigmatism45
3 3 -0.01885 trefoil_0
3 1 -0.00404 coma_x
3 -1 0.03594 coma_y
3 -3 -0.03913 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 -0.00044 piston
1 1 0.00278 tilt_x
1 -1 0.01413 tilt_y
2 2 0.04363 astigmatism_0
2 0 0.00049 curvature
2 -2 0.01306 astigmatism45
3 3 -0.01941 trefoil_0
3 1 -0.00482 coma_x
3 -1 0.03807 coma_y
3 -3 -0.03950 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: 30 18.8 18.5 22.7 24.7 29.3 39.5 29.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 18.1 17.8 22.5 24.6 27.7 37.9 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.88 3.57 4.67 5.33 6.11 8.1 12.2 8.02
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 18.7 18.7 23.6 24.8 29.4 39.4 29.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.3 18 17.9 23.4 24.7 27.8 37.9 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.94 3.68 4.79 5.42 6.12 8.05 12.2 8.04
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 18.4 19 24.7 25 29.6 39.5 30.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 17.7 18.3 24.6 25 28 38 29.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.03 3.84 4.97 5.55 6.13 7.99 12.2 8.06
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.2 18.2 19.4 22 24.9 29.6 39.6 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 17.5 18.6 21.8 25 28 37.8 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.21 4.16 5.33 5.84 6.23 7.96 12.4 8.19
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 18.6 19.8 24.4 24.9 29.5 40 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 17.8 19 24.3 25.1 28 37.9 29.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.32 4.36 5.57 6.04 6.3 7.94 12.4 8.27
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 19.2 20 24.4 25 29.7 40.6 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 18.4 19.2 24.3 25.2 28.2 38.4 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.36 4.44 5.67 6.15 6.44 8.11 12.7 8.43
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 19.3 20.3 24.7 25.2 30.1 41.2 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 18.5 19.5 24.5 25.3 28.7 38.9 29.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.33 4.38 5.61 6.12 6.46 8.16 12.7 8.43
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 19.4 20.3 24.4 25.4 30.3 41.5 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 18.7 19.6 24.2 25.4 28.9 39.2 29.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.25 4.24 5.45 6.01 6.47 8.25 12.7 8.43
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.1 19.4 20.3 24 25.1 30.4 41.5 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.9 18.7 19.5 23.7 25.1 29 39.3 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.22 4.19 5.39 5.95 6.44 8.23 12.6 8.38
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 19.3 20.3 23.2 24.9 30.1 41.2 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.7 18.6 19.5 22.9 24.9 28.7 39.1 29.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.14 4.05 5.23 5.83 6.4 8.24 12.5 8.32
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 19.1 20.3 22.6 24.6 29.8 40.8 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.3 18.3 19.4 22.3 24.6 28.3 38.8 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.2 4.15 5.34 5.9 6.38 8.15 12.5 8.3
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.2 19.1 19.8 22.2 24.5 29.6 40.3 29.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 18.4 19 21.9 24.5 28 38.4 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.14 4.03 5.2 5.77 6.29 8.1 12.4 8.21
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 19.2 19.3 22.2 24.5 29.4 39.7 29.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 18.5 18.5 21.9 24.5 27.8 37.8 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.1 3.97 5.12 5.69 6.24 8.09 12.4 8.19
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.6 19.1 18.8 22.4 24.4 29.3 39.1 29.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.1 18.5 18 22.1 24.5 27.6 37.2 28.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.06 3.89 5.03 5.62 6.24 8.14 12.4 8.2
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 18.9 18.7 22.9 24.4 29.1 38.8 29.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.1 18.2 17.9 22.7 24.4 27.4 36.9 28.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.08 3.92 5.07 5.66 6.26 8.16 12.5 8.23
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 18.5 18.8 23.5 24.4 28.8 38.8 29.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 17.7 18.1 23.2 24.4 27.1 36.7 28.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.2 4.15 5.34 5.9 6.41 8.27 12.7 8.42
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 27.2 17.2 18.2 20.8 23.8 28.3 38.9 28.6
Mean deviation is 0.027405722609598268 microns
Taper = 10 dB, Ruze illumination-weighted rms = 27.4 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 23.8 micron
Centre pixel: 64.0 64.0 Value = 3005.34 (estimate), 3708.89 (perfect)
Strehl = 0.656598
Strehl ratio estimate = 0.6566
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 22.9 micron
Centre pixel: 64.0 64.0 Value = 2549.87 (estimate), 3708.89 (perfect)
Strehl = 0.472658
Strehl ratio estimate = 0.4727
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 -19.8 6.7 9.3 22.8
2 1 2 -2.0 8.0 19.7 21.4
3 1 3 19.0 18.1 -8.8 27.7
4 1 4 10.2 6.1 -30.4 32.7
5 1 5 -39.6 14.3 54.0 68.4
6 1 6 -30.4 7.9 -6.7 32.2
7 1 7 -30.0 -6.7 19.5 36.4
8 1 8 -55.7 28.5 36.9 72.7
9 1 9 -91.6 -19.6 13.7 94.6
10 1 10 -19.0 11.7 29.6 37.1
11 1 11 10.6 9.0 7.2 15.7
12 1 12 -14.7 4.1 14.4 21.0
13 2 1 23.6 -17.9 -14.0 32.8
14 2 2 11.6 8.8 0.1 14.6
15 2 3 29.3 -14.6 -16.0 36.5
16 2 4 17.1 -6.5 5.9 19.2
17 2 5 11.9 13.0 10.8 20.7
18 2 6 12.0 25.2 31.7 42.3
19 2 7 -3.0 21.5 8.3 23.2
20 2 8 7.0 15.4 10.5 19.9
21 2 9 22.4 1.9 4.7 22.9
22 2 10 7.4 9.7 10.3 16.0
23 2 11 -0.9 6.8 1.2 6.9
24 2 12 -7.8 -1.8 -19.1 20.7
25 2 13 -8.5 -17.5 -31.2 36.7
26 2 14 -16.0 -29.4 -17.8 37.9
27 2 15 -4.0 -23.6 -20.9 31.7
28 2 16 13.2 -12.7 -2.2 18.5
29 2 17 10.2 2.2 -1.4 10.6
30 2 18 -0.9 8.0 -2.9 8.5
31 2 19 -0.1 -15.6 8.6 17.8
32 2 20 20.2 -16.5 -20.0 32.9
33 2 21 3.4 -3.0 -0.7 4.6
34 2 22 28.9 -11.7 -10.4 32.8
35 2 23 21.0 -8.8 -1.4 22.8
36 2 24 14.3 -10.7 -15.6 23.8
37 3 1 8.9 9.6 5.0 14.0
38 3 2 9.9 11.9 7.3 17.1
39 3 3 -6.7 6.1 5.7 10.7
40 3 4 5.4 5.4 28.6 29.6
41 3 5 -6.8 20.7 20.4 29.8
42 3 6 -14.0 5.5 12.8 19.7
43 3 7 -5.8 4.1 -7.8 10.6
44 3 8 3.0 9.8 3.9 10.9
45 3 9 21.2 7.5 6.1 23.3
46 3 10 3.0 7.2 0.0 7.8
47 3 11 29.0 14.6 10.8 34.2
48 3 12 18.1 22.6 4.3 29.2
49 3 13 -5.0 18.3 20.1 27.7
50 3 14 22.7 10.8 14.8 29.2
51 3 15 -0.4 8.7 22.1 23.7
52 3 16 17.6 15.8 22.5 32.7
53 3 17 17.9 24.3 15.8 34.1
54 3 18 20.9 15.6 18.8 32.2
55 3 19 22.6 16.3 -2.0 27.9
56 3 20 14.8 8.3 4.4 17.6
57 3 21 6.5 -0.6 5.8 8.7
58 3 22 -8.0 -5.8 3.3 10.4
59 3 23 -14.5 -5.8 -14.0 21.0
60 3 24 -24.8 -20.8 -25.4 41.2
61 3 25 -18.2 -25.6 -27.9 42.0
62 3 26 -31.3 -13.7 -16.3 37.9
63 3 27 -29.2 -15.8 -12.9 35.6
64 3 28 4.2 -7.2 -14.9 17.1
65 3 29 5.7 -4.8 -8.8 11.5
66 3 30 -4.5 -12.0 -18.8 22.8
67 3 31 1.1 4.0 3.4 5.3
68 3 32 13.6 22.2 -1.5 26.1
69 3 33 29.2 21.4 28.3 45.9
70 3 34 16.1 3.2 23.2 28.5
71 3 35 38.7 15.6 -3.7 41.9
72 3 36 11.5 13.5 -4.5 18.4
73 3 37 26.5 11.6 -20.5 35.5
74 3 38 11.0 12.6 -7.4 18.3
75 3 39 8.5 13.9 4.8 16.9
76 3 40 39.3 11.7 10.8 42.4
77 3 41 17.1 13.0 11.5 24.3
78 3 42 4.4 18.1 7.5 20.0
79 3 43 1.2 16.4 5.5 17.3
80 3 44 17.3 17.0 13.5 27.8
81 3 45 27.1 8.7 7.8 29.5
82 3 46 9.1 7.9 3.1 12.4
83 3 47 14.1 7.7 -3.1 16.4
84 3 48 -0.2 10.4 -15.4 18.6
85 4 1 -16.4 -22.2 -5.6 28.2
86 4 2 7.5 -16.0 -48.5 51.6
87 4 3 3.9 -11.7 -26.6 29.3
88 4 4 8.1 1.0 -39.2 40.1
89 4 5 21.0 5.0 -19.8 29.3
90 4 6 19.4 9.2 -15.4 26.4
91 4 7 19.9 4.8 -1.2 20.5
92 4 8 4.9 11.7 -15.7 20.2
93 4 9 8.1 1.9 -11.8 14.4
94 4 10 -4.0 1.6 -17.7 18.2
95 4 11 0.4 -1.3 -40.7 40.7
96 4 12 -19.1 0.3 -13.6 23.5
97 4 13 7.1 -0.3 16.0 17.5
98 4 14 11.3 -3.8 -38.4 40.2
99 4 15 6.9 8.9 9.6 14.8
100 4 16 -2.4 12.0 10.3 16.0
101 4 17 9.5 17.2 4.8 20.2
102 4 18 26.0 -0.3 16.9 31.0
103 4 19 2.1 -1.9 -18.0 18.2
104 4 20 -1.8 -0.3 -13.3 13.4
105 4 21 -5.6 -8.4 1.9 10.3
106 4 22 -24.4 1.3 10.5 26.6
107 4 23 -27.3 -8.4 -25.1 38.0
108 4 24 -15.4 -10.9 10.6 21.6
109 4 25 -36.4 -7.9 28.9 47.1
110 4 26 -29.9 -19.0 -35.1 49.9
111 4 27 -25.2 -16.3 0.6 30.0
112 4 28 -24.6 -16.8 1.7 29.8
113 4 29 -30.0 -2.9 -45.2 54.3
114 4 30 -25.0 -10.5 12.2 29.8
115 4 31 -10.8 -8.5 8.9 16.4
116 4 32 -9.0 8.1 -0.4 12.1
117 4 33 3.9 5.5 12.8 14.5
118 4 34 22.3 15.0 14.6 30.6
119 4 35 -26.9 0.9 -51.9 58.4
120 4 36 -19.8 -5.1 3.3 20.7
121 4 37 10.0 -3.5 -7.1 12.8
122 4 38 6.5 3.3 -18.4 19.8
123 4 39 11.8 7.8 4.3 14.8
124 4 40 6.9 5.2 4.2 9.7
125 4 41 6.1 21.6 13.2 26.0
126 4 42 23.9 6.2 6.1 25.5
127 4 43 15.7 5.9 1.9 16.9
128 4 44 2.9 9.6 0.7 10.1
129 4 45 3.2 3.3 -7.3 8.6
130 4 46 4.7 -13.6 -19.1 23.9
131 4 47 -11.7 -17.0 -45.5 49.9
132 4 48 -8.6 -18.2 -19.0 27.7
133 5 1 -6.0 -5.4 -4.0 9.0
134 5 2 -13.4 -7.1 -1.0 15.2
135 5 3 -8.4 -15.9 -28.5 33.7
136 5 4 4.0 0.3 10.2 11.0
137 5 5 -12.1 5.9 4.4 14.2
138 5 6 6.8 9.1 -14.5 18.4
139 5 7 14.1 10.1 8.3 19.3
140 5 8 5.4 13.3 -1.6 14.5
141 5 9 2.9 5.4 4.0 7.3
142 5 10 -7.5 -25.0 -27.8 38.2
143 5 11 4.1 -15.9 16.3 23.2
144 5 12 -15.0 4.9 10.4 18.9
145 5 13 -11.9 8.8 1.9 14.9
146 5 14 -13.7 9.4 0.4 16.6
147 5 15 3.9 -7.4 -33.5 34.5
148 5 16 5.5 11.2 1.2 12.5
149 5 17 -0.3 6.2 -8.8 10.8
150 5 18 -4.9 -9.3 208.9 209.2
151 5 19 -21.4 -9.1 -0.5 23.3
152 5 20 -8.0 6.7 -10.4 14.8
153 5 21 6.8 5.6 -3.4 9.5
154 5 22 -3.2 -20.9 -30.0 36.7
155 5 23 -19.0 -11.0 -20.3 29.9
156 5 24 -4.0 -19.6 -31.9 37.7
157 5 25 -5.3 -20.5 -38.8 44.2
158 5 26 -11.1 -15.2 -23.9 30.4
159 5 27 -6.0 -38.8 -50.4 63.9
160 5 28 9.9 4.4 -36.3 37.9
161 5 29 22.8 4.0 -9.2 24.9
162 5 30 13.6 3.0 9.6 16.9
163 5 31 5.4 6.5 5.6 10.1
164 5 32 -2.3 3.3 7.8 8.8
165 5 33 11.3 0.9 -0.7 11.4
166 5 34 11.8 -18.6 -38.8 44.6
167 5 35 -6.7 -11.9 7.7 15.7
168 5 36 8.3 6.8 -15.5 18.9
169 5 37 3.4 -3.3 -1.4 4.9
170 5 38 12.7 -6.8 -3.8 14.9
171 5 39 8.3 -0.4 -34.7 35.7
172 5 40 1.6 5.8 -15.5 16.6
173 5 41 13.7 13.3 -0.9 19.1
174 5 42 5.3 8.4 -9.4 13.6
175 5 43 15.8 10.7 -17.4 25.8
176 5 44 9.0 6.0 -19.3 22.1
177 5 45 14.1 4.6 -29.8 33.3
178 5 46 8.1 -30.6 -49.2 58.5
179 5 47 -2.6 -24.7 -27.0 36.6
180 5 48 -8.2 -6.3 -24.3 26.4
181 6 1 -1.6 -38.7 -42.9 57.8
182 6 2 0.6 -25.1 -53.7 59.3
183 6 3 -18.7 -13.1 -40.5 46.5
184 6 4 -24.2 2.3 -99.5 102.4
185 6 5 3.5 -2.1 -0.9 4.2
186 6 6 4.2 0.6 -6.8 8.0
187 6 7 -2.1 -2.6 -5.3 6.3
188 6 8 -6.2 2.6 -14.3 15.9
189 6 9 -13.6 9.4 -39.8 43.1
190 6 10 -34.9 16.9 3.4 38.9
191 6 11 -3.8 2.3 -8.8 9.9
192 6 12 4.5 7.4 -5.0 10.0
193 6 13 -2.0 8.1 -2.7 8.8
194 6 14 -8.9 1.8 1.0 9.1
195 6 15 -40.8 4.7 -9.1 42.1
196 6 16 -12.4 -3.8 -55.6 57.1
197 6 17 -24.7 -15.4 -14.8 32.7
198 6 18 -12.0 -8.8 8.5 17.2
199 6 19 -7.4 -16.7 9.6 20.7
200 6 20 3.9 1.7 3.1 5.2
201 6 21 -40.9 2.6 -41.3 58.2
202 6 22 -45.9 -6.1 15.9 49.0
203 6 23 -27.5 -4.8 21.2 35.0
204 6 24 -36.0 -14.9 17.6 42.8
205 6 25 -50.9 -15.9 -10.3 54.4
206 6 26 -35.5 -16.6 -3.1 39.4
207 6 27 -64.1 -9.7 -1.8 64.8
208 6 28 -62.5 -15.4 -54.8 84.5
209 6 29 -27.3 14.8 -8.2 32.1
210 6 30 -13.2 -7.4 56.3 58.3
211 6 31 5.1 -9.1 -3.8 11.2
212 6 32 0.7 -6.8 -8.6 11.0
213 6 33 -48.2 6.9 -95.8 107.5
214 6 34 -129.5 29.7 -32.8 136.8
215 6 35 -9.2 7.8 35.1 37.1
216 6 36 -2.3 28.2 47.0 54.8
217 6 37 -8.8 16.0 31.3 36.3
218 6 38 -0.8 -0.1 8.1 8.1
219 6 39 -38.0 21.3 -2.2 43.6
220 6 40 -44.8 19.9 -44.9 66.5
221 6 41 -4.5 21.5 9.8 24.1
222 6 42 10.4 -7.9 35.1 37.4
223 6 43 0.2 -5.4 12.7 13.7
224 6 44 -16.6 5.8 6.1 18.6
225 6 45 -49.1 17.9 -91.0 104.9
226 6 46 -76.9 -6.2 -27.8 82.0
227 6 47 -27.0 -27.9 -37.8 54.2
228 6 48 -30.3 -40.8 -42.8 66.4
229 7 1 -50.0 -20.2 -40.4 67.5
230 7 2 -47.2 -28.2 -53.8 76.9
231 7 3 -8.6 -28.3 -23.5 37.8
232 7 4 -5.7 -64.8 28.7 71.1
233 7 5 11.9 -12.1 35.2 39.1
234 7 6 16.9 47.1 23.0 55.1
235 7 7 -6.4 37.6 53.0 65.3
236 7 8 48.2 10.4 -25.1 55.3
237 7 9 34.7 -54.6 49.5 81.4
238 7 10 36.3 31.4 29.1 56.1
239 7 11 9.1 18.1 -14.4 24.9
240 7 12 10.0 25.4 23.8 36.2
241 7 13 1.1 35.3 28.8 45.6
242 7 14 10.2 33.1 13.3 37.1
243 7 15 -4.4 9.6 5.2 11.8
244 7 16 3.7 -67.8 31.6 74.9
245 7 17 3.1 3.4 12.8 13.6
246 7 18 -4.9 21.6 -8.5 23.7
247 7 19 5.2 14.1 42.8 45.3
248 7 20 25.0 13.3 39.3 48.4
249 7 21 31.2 -25.7 102.6 110.3
250 7 22 14.5 45.0 72.6 86.6
251 7 23 26.7 56.6 47.7 78.6
252 7 24 8.3 61.0 75.6 97.5
253 7 25 -8.4 67.0 74.7 100.7
254 7 26 7.2 51.7 9.4 53.0
255 7 27 -8.5 47.7 45.4 66.4
256 7 28 4.7 -40.2 295.6 298.4
257 7 29 17.9 -40.7 2.9 44.6
258 7 30 0.6 -31.5 -50.7 59.7
259 7 31 -9.0 -23.5 -35.2 43.3
260 7 32 21.7 -38.8 -41.9 61.1
261 7 33 -16.9 -57.2 -12.6 61.0
262 7 34 22.5 21.3 -25.3 40.0
263 7 35 33.8 29.9 0.8 45.1
264 7 36 39.7 36.3 23.2 58.6
265 7 37 31.6 38.8 18.6 53.4
266 7 38 27.6 40.3 -17.2 51.8
267 7 39 37.5 27.6 8.3 47.3
268 7 40 49.8 -23.0 28.5 61.8
269 7 41 62.6 10.4 5.9 63.7
270 7 42 29.5 16.2 14.3 36.6
271 7 43 -30.1 16.5 -46.0 57.4
272 7 44 14.4 -7.4 -6.2 17.3
273 7 45 3.0 -77.8 15.2 79.3
274 7 46 4.1 -6.9 -18.6 20.2
275 7 47 -23.0 -5.3 -58.6 63.2
276 7 48 -35.4 110.3 -23.1 118.1
Creating sector-motor-move file
sector motor steps
1 1 8
1 2 -19
1 3 -1
1 4 -30
1 5 0
1 6 -7
1 7 -7
1 8 -8
1 9 -2
1 10 -12
1 11 -4
1 12 -5
1 13 -16
1 14 -8
1 15 -14
1 16 -16
1 17 -7
1 18 0
1 19 -12
1 20 -6
1 21 -15
1 22 -13
1 23 -11
1 24 0
1 25 3
1 26 0
1 27 1
1 28 -12
1 29 0
1 30 2
1 31 -8
1 32 -4
1 33 -2
1 34 -8
1 35 -3
1 36 1
1 37 0
1 38 -2
1 39 -4
1 40 -14
1 41 -4
1 42 2
1 43 -1
1 44 -1
1 45 -1
1 46 -1
1 47 -6
1 48 -5
1 49 1
1 50 1
1 51 -2
1 52 0
1 53 2
1 54 3
1 55 2
1 56 3
1 57 3
1 58 2
1 59 -6
1 60 2
1 61 1
1 62 2
1 63 2
1 64 -4
1 65 7
1 66 -4
1 67 8
1 68 1
1 69 1
2 1 -7
2 2 3
2 3 14
2 4 -4
2 5 0
2 6 -1
2 7 16
2 8 11
2 9 -1
2 10 -1
2 11 0
2 12 0
2 13 7
2 14 14
2 15 5
2 16 -2
2 17 0
2 18 1
2 19 10
2 20 -3
2 21 3
2 22 0
2 23 0
2 24 1
2 25 0
2 26 4
2 27 1
2 28 -4
2 29 3
2 30 1
2 31 2
2 32 3
2 33 4
2 34 0
2 35 1
2 36 6
2 37 -4
2 38 2
2 39 2
2 40 -4
2 41 2
2 42 5
2 43 1
2 44 1
2 45 -3
2 46 -6
2 47 1
2 48 6
2 49 -2
2 50 1
2 51 -1
2 52 1
2 53 -1
2 54 5
2 55 3
2 56 1
2 57 -4
2 58 2
2 59 0
2 60 6
2 61 6
2 62 6
2 63 -2
2 64 3
2 65 8
2 66 -4
2 67 1
2 68 2
2 69 0
3 1 7
3 2 7
3 3 3
3 4 -1
3 5 2
3 6 1
3 7 -4
3 8 5
3 9 2
3 10 -2
3 11 0
3 12 -1
3 13 8
3 14 9
3 15 11
3 16 1
3 17 5
3 18 -10
3 19 15
3 20 -16
3 21 10
3 22 -12
3 23 2
3 24 -4
3 25 3
3 26 1
3 27 -4
3 28 -4
3 29 0
3 30 -5
3 31 5
3 32 -4
3 33 1
3 34 -12
3 35 0
3 36 0
3 37 -8
3 38 -7
3 39 -2
3 40 -5
3 41 0
3 42 -1
3 43 1
3 44 1
3 45 0
3 46 -3
3 47 0
3 48 2
3 49 3
3 50 4
3 51 8
3 52 9
3 53 7
3 54 3
3 55 0
3 56 2
3 57 0
3 58 5
3 59 5
3 60 -2
3 61 1
3 62 2
3 63 6
3 64 6
3 65 3
3 66 3
3 67 1
3 68 6
3 69 5
4 1 9
4 2 -20
4 3 1
4 4 -17
4 5 -1
4 6 -3
4 7 1
4 8 2
4 9 -1
4 10 -2
4 11 1
4 12 -12
4 13 4
4 14 10
4 15 3
4 16 0
4 17 0
4 18 -2
4 19 8
4 20 10
4 21 0
4 22 0
4 23 2
4 24 0
4 25 0
4 26 3
4 27 1
4 28 3
4 29 3
4 30 0
4 31 -10
4 32 -2
4 33 1
4 34 2
4 35 2
4 36 2
4 37 0
4 38 2
4 39 -4
4 40 -11
4 41 -1
4 42 3
4 43 0
4 44 2
4 45 -3
4 46 4
4 47 0
4 48 2
4 49 6
4 50 2
4 51 0
4 52 3
4 53 4
4 54 2
4 55 4
4 56 3
4 57 6
4 58 1
4 59 3
4 60 -9
4 61 6
4 62 5
4 63 -1
4 64 0
4 65 0
4 66 2
4 67 6
4 68 4
4 69 5
5 1 12
5 2 4
5 3 7
5 4 0
5 5 0
5 6 1
5 7 13
5 8 4
5 9 1
5 10 2
5 11 -5
5 12 -2
5 13 -2
5 14 6
5 15 -1
5 16 2
5 17 -2
5 18 -3
5 19 3
5 20 1
5 21 0
5 22 -4
5 23 -4
5 24 -7
5 25 -3
5 26 2
5 27 -2
5 28 -4
5 29 0
5 30 0
5 31 0
5 32 -2
5 33 -6
5 34 -5
5 35 0
5 36 0
5 37 64
5 38 -2
5 39 -1
5 40 5
5 41 0
5 42 7
5 43 -2
5 44 1
5 45 0
5 46 1
5 47 5
5 48 2
5 49 0
5 50 4
5 51 6
5 52 3
5 53 2
5 54 2
5 55 5
5 56 4
5 57 6
5 58 4
5 59 -12
5 60 16
5 61 4
5 62 7
5 63 5
5 64 2
5 65 6
5 66 1
5 67 1
5 68 2
5 69 4
6 1 23
6 2 18
6 3 2
6 4 5
6 5 -4
6 6 -11
6 7 14
6 8 17
6 9 8
6 10 6
6 11 -1
6 12 -8
6 13 22
6 14 13
6 15 4
6 16 4
6 17 -1
6 18 -14
6 19 31
6 20 -7
6 21 9
6 22 -12
6 23 0
6 24 -12
6 25 -9
6 26 -6
6 27 -1
6 28 3
6 29 -3
6 30 -4
6 31 -6
6 32 -3
6 33 -5
6 34 -7
6 35 -2
6 36 -8
6 37 -9
6 38 -6
6 39 0
6 40 3
6 41 0
6 42 -7
6 43 -1
6 44 1
6 45 2
6 46 0
6 47 -2
6 48 -1
6 49 -4
6 50 -1
6 51 -4
6 52 -5
6 53 0
6 54 -2
6 55 1
6 56 -1
6 57 -2
6 58 2
6 59 -9
6 60 -2
6 61 1
6 62 0
6 63 1
6 64 -5
6 65 0
6 66 0
6 67 -7
6 68 -6
6 69 -7
7 1 90
7 2 -12
7 3 1
7 4 -16
7 5 -4
7 6 -19
7 7 13
7 8 14
7 9 -2
7 10 0
7 11 -2
7 12 -19
7 13 2
7 14 15
7 15 2
7 16 0
7 17 -5
7 18 -10
7 19 22
7 20 20
7 21 -2
7 22 -3
7 23 -4
7 24 -15
7 25 -11
7 26 1
7 27 3
7 28 0
7 29 -5
7 30 -7
7 31 -15
7 32 -11
7 33 -1
7 34 0
7 35 -5
7 36 -7
7 37 -7
7 38 -4
7 39 -3
7 40 -10
7 41 -5
7 42 -9
7 43 -11
7 44 -6
7 45 -1
7 46 8
7 47 -2
7 48 -11
7 49 -3
7 50 -4
7 51 -8
7 52 -5
7 53 -9
7 54 -4
7 55 -4
7 56 -4
7 57 -9
7 58 -2
7 59 -9
7 60 5
7 61 -8
7 62 -7
7 63 -5
7 64 -7
7 65 -2
7 66 -9
7 67 -4
7 68 -2
7 69 1
8 1 -12
8 2 -11
8 3 6
8 4 -2
8 5 -2
8 6 0
8 7 -10
8 8 -7
8 9 -2
8 10 -1
8 11 -2
8 12 1
8 13 -15
8 14 -9
8 15 0
8 16 17
8 17 -2
8 18 -4
8 19 0
8 20 -12
8 21 5
8 22 -2
8 23 4
8 24 -8
8 25 2
8 26 1
8 27 0
8 28 0
8 29 2
8 30 -2
8 31 1
8 32 1
8 33 1
8 34 2
8 35 -2
8 36 -3
8 37 2
8 38 0
8 39 4
8 40 3
8 41 -3
8 42 -7
8 43 -2
8 44 1
8 45 6
8 46 -13
8 47 0
8 48 -9
8 49 1
8 50 1
8 51 0
8 52 0
8 53 -3
8 54 4
8 55 -5
8 56 -3
8 57 -1
8 58 8
8 59 -17
8 60 11
8 61 -2
8 62 -1
8 63 1
8 64 0
8 65 -1
8 66 -6
8 67 0
8 68 6
8 69 4
9 1 7
9 2 11
9 3 12
9 4 14
9 5 8
9 6 0
9 7 0
9 8 9
9 9 10
9 10 10
9 11 2
9 12 -2
9 13 -7
9 14 6
9 15 6
9 16 -10
9 17 9
9 18 -39
9 19 -3
9 20 -17
9 21 -5
9 22 -29
9 23 2
9 24 -14
9 25 -4
9 26 2
9 27 2
9 28 1
9 29 -1
9 30 -6
9 31 2
9 32 -3
9 33 -2
9 34 -15
9 35 0
9 36 -8
9 37 -11
9 38 -5
9 39 3
9 40 4
9 41 4
9 42 6
9 43 0
9 44 0
9 45 3
9 46 3
9 47 1
9 48 1
9 49 -1
9 50 4
9 51 11
9 52 0
9 53 2
9 54 0
9 55 7
9 56 0
9 57 4
9 58 -6
9 59 -28
9 60 4
9 61 8
9 62 6
9 63 8
9 64 -4
9 65 3
9 66 0
9 67 -1
9 68 4
9 69 3
10 1 8
10 2 -7
10 3 15
10 4 -13
10 5 6
10 6 -13
10 7 2
10 8 8
10 9 11
10 10 0
10 11 6
10 12 -11
10 13 -5
10 14 12
10 15 8
10 16 2
10 17 0
10 18 0
10 19 5
10 20 11
10 21 9
10 22 9
10 23 4
10 24 -2
10 25 -4
10 26 1
10 27 0
10 28 1
10 29 1
10 30 2
10 31 -10
10 32 0
10 33 2
10 34 1
10 35 2
10 36 3
10 37 -1
10 38 -2
10 39 3
10 40 -5
10 41 1
10 42 1
10 43 0
10 44 -1
10 45 1
10 46 -2
10 47 -1
10 48 3
10 49 1
10 50 4
10 51 2
10 52 -6
10 53 -5
10 54 6
10 55 -2
10 56 3
10 57 3
10 58 3
10 59 -5
10 60 9
10 61 -6
10 62 3
10 63 8
10 64 0
10 65 0
10 66 2
10 67 3
10 68 3
10 69 12
11 1 -1
11 2 -2
11 3 4
11 4 1
11 5 1
11 6 -5
11 7 -14
11 8 5
11 9 -9
11 10 3
11 11 -1
11 12 0
11 13 4
11 14 4
11 15 9
11 16 10
11 17 -2
11 18 3
11 19 1
11 20 3
11 21 19
11 22 3
11 23 6
11 24 -1
11 25 -5
11 26 1
11 27 2
11 28 0
11 29 2
11 30 0
11 31 -5
11 32 3
11 33 4
11 34 0
11 35 1
11 36 4
11 37 -2
11 38 2
11 39 1
11 40 1
11 41 1
11 42 7
11 43 0
11 44 4
11 45 4
11 46 4
11 47 6
11 48 1
11 49 1
11 50 5
11 51 0
11 52 -3
11 53 -3
11 54 8
11 55 2
11 56 5
11 57 1
11 58 2
11 59 3
11 60 2
11 61 3
11 62 3
11 63 5
11 64 -2
11 65 1
11 66 0
11 67 4
11 68 5
11 69 5
12 1 -7
12 2 33
12 3 -10
12 4 -13
12 5 -12
12 6 -9
12 7 -17
12 8 -1
12 9 -7
12 10 -11
12 11 -8
12 12 -8
12 13 -5
12 14 -2
12 15 1
12 16 -8
12 17 -1
12 18 -23
12 19 4
12 20 -23
12 21 0
12 22 -27
12 23 5
12 24 -15
12 25 -7
12 26 -1
12 27 -2
12 28 -5
12 29 -5
12 30 -2
12 31 -8
12 32 -7
12 33 0
12 34 -13
12 35 -5
12 36 -3
12 37 -15
12 38 -9
12 39 2
12 40 -5
12 41 -4
12 42 1
12 43 -9
12 44 1
12 45 4
12 46 -2
12 47 0
12 48 0
12 49 0
12 50 2
12 51 4
12 52 -4
12 53 -3
12 54 4
12 55 0
12 56 2
12 57 2
12 58 1
12 59 -4
12 60 4
12 61 2
12 62 2
12 63 8
12 64 -5
12 65 6
12 66 0
12 67 -4
12 68 3
12 69 0
Adjuster movements: rms = 26.6 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20040909-094609
Creating HTML output file of plots
Plotting summary text