![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20050626-082528.fits
Reduced on 20050627-132653 by janw on moana
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050626-082528.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -1.3 |
| data.pointing_offset_y | 15.9 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.99 |
| 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 | 0.033989999999999999 |
| 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: 20050627-132653
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050626-082528.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 = 2361.2 max = 2431.9 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.990 mm
----------------- Data Summary ---------------------
Number of samples: 366500
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 -3.11279 3.11035 -0.03133
loimag -3.28369 3.20068 -0.00666
hireal -5.00000 4.99756 -0.23641
hiimag -5.00000 4.99756 -0.26683
xpos -2431.45056 2431.88720 -2.69626
ypos -2361.20147 2401.71789 19.78157
plock160 0.55176 1.99707 1.33569
lorefpwr -0.03174 1.59668 1.08085
losigpwr -4.55566 -0.14893 -4.30604
hirefpwr 0.04150 1.64307 1.13624
hisigpwr -4.46045 4.99756 -1.14706
encltemp 31.59180 32.81250 32.11464
flags 0.00000 256.00000 2.44475
phi-lock -1.67969 -0.30518 -1.02561
sindex 0.00000 126.00000 62.21460
time 0.00000 2015.97891 998.92698
zeropt -0.00732 -0.00488 -0.00598
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 127 rows
There are 120 data rows and 7 calibrator rows
Calibrator rows: 19 40 61 82 103 124 126
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00482 arcsec
Mean row spacing = 40.00484 arcsec (alternate estimator)
Mean tracking incline = 0.75380 arcsec
Mean pointing range = 1.50355 arcsec
Mean pointing rms = 0.30621 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-1.3, 15.9 ) 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 3500
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22495 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22495 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 = 2431.89 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 = 3.05159 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.00155338 sum of squares = 821.101
Imag: mean = -0.00296118 sum of squares = 1017.23
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 = 3.05747 at (0.0, -40.013940751804832) arcsec
Real: mean = 0.00230761 sum of squares = 858.647
Imag: mean = -0.00324745 sum of squares = 981.277
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 = 3.06003 at (0.0, 0.0) arcsec
Real: mean = 0.00289939 sum of squares = 942.055
Imag: mean = -0.00307927 sum of squares = 899.853
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 = 3.12157 at (0.0, 0.0) arcsec
Real: mean = 0.00319077 sum of squares = 1011.36
Imag: mean = -0.00238535 sum of squares = 834.291
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 = 3.13212 at (0.0, 0.0) arcsec
Real: mean = 0.00337674 sum of squares = 1019.01
Imag: mean = -0.00201573 sum of squares = 833.636
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 = 3.15069 at (0.0, 0.0) arcsec
Real: mean = 0.00338983 sum of squares = 956.804
Imag: mean = -0.00172749 sum of squares = 901.102
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 = 3.13766 at (0.0, -40.008960796515247) arcsec
Real: mean = 0.00322786 sum of squares = 874.968
Imag: mean = -0.00111101 sum of squares = 988.151
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 = 3.13302 at (0.0, -40.007964954201512) arcsec
Real: mean = 0.00296596 sum of squares = 834.453
Imag: mean = -0.000638324 sum of squares = 1030.79
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 = 3.13232 at (0.0, -40.006969161460532) arcsec
Real: mean = 0.00248706 sum of squares = 868.283
Imag: mean = -0.000637198 sum of squares = 1000.08
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 = 3.12803 at (0.0, -40.005973418288612) arcsec
Real: mean = 0.00185815 sum of squares = 947.736
Imag: mean = -0.000677991 sum of squares = 922.591
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 = 3.13275 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00144479 sum of squares = 1017.76
Imag: mean = -0.000883859 sum of squares = 853.734
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 = 3.12717 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.00127374 sum of squares = 1031.22
Imag: mean = -0.00144559 sum of squares = 842.736
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 = 3.11758 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.00116475 sum of squares = 977.801
Imag: mean = -0.00190908 sum of squares = 897.861
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 = 3.10983 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.00130755 sum of squares = 897.78
Imag: mean = -0.00235393 sum of squares = 981.531
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 = 3.08905 at (0.0, -40.000995445835301) arcsec
Real: mean = 0.00187503 sum of squares = 846.215
Imag: mean = -0.00293133 sum of squares = 1037.19
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 = 3.09035 at (0.0, -40.0) arcsec
Real: mean = 0.00248704 sum of squares = 860.197
Imag: mean = -0.00295713 sum of squares = 1025.59
Masking frequency index 0
Mask scale size = 3.00631
Masking frequency index 1
Mask scale size = 3.00639
Masking frequency index 2
Mask scale size = 3.00646
Masking frequency index 3
Mask scale size = 3.00654
Masking frequency index 4
Mask scale size = 3.00661
Masking frequency index 5
Mask scale size = 3.00669
Masking frequency index 6
Mask scale size = 3.00676
Masking frequency index 7
Mask scale size = 3.00684
Masking frequency index 8
Mask scale size = 3.00691
Masking frequency index 9
Mask scale size = 3.00699
Masking frequency index 10
Mask scale size = 3.00706
Masking frequency index 11
Mask scale size = 3.00714
Masking frequency index 12
Mask scale size = 3.00721
Masking frequency index 13
Mask scale size = 3.00729
Masking frequency index 14
Mask scale size = 3.00736
Masking frequency index 15
Mask scale size = 3.00744
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.0219727
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0219727
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.0834 99.365
Freq 1: Shift, scale = -1.5272 98.147
Freq 2: Shift, scale = -1.9684 97.317
Freq 3: Shift, scale = -2.4134 96.884
Freq 4: Shift, scale = -2.8568 98.107
Freq 5: Shift, scale = 2.9779 99.132
Freq 6: Shift, scale = 2.5267 101.08
Freq 7: Shift, scale = 2.0809 101.95
Freq 8: Shift, scale = 1.644 102.89
Freq 9: Shift, scale = 1.2184 103.9
Freq 10: Shift, scale = 0.79225 104.34
Freq 11: Shift, scale = 0.36331 104.56
Freq 12: Shift, scale = -0.066257 103.87
Freq 13: Shift, scale = -0.49957 102.91
Freq 14: Shift, scale = -0.9358 101.29
Freq 15: Shift, scale = -1.3718 99.88
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 3
piston: -0.339 radians
x offset: 0.0115 arcsec
y offset: 0.141 arcsec
defocus: -0.00672 mm
Estimated x pointing error is -1.289 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.04 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.983 mm (used 2.99 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.346 radians
x offset: 0.0234 arcsec
y offset: 0.16 arcsec
defocus: -0.00761 mm
Estimated x pointing error is -1.277 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.06 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.982 mm (used 2.99 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.35 radians
x offset: 0.00885 arcsec
y offset: 0.165 arcsec
defocus: -0.00821 mm
Estimated x pointing error is -1.291 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.07 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.982 mm (used 2.99 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.358 radians
x offset: 0.0141 arcsec
y offset: 0.159 arcsec
defocus: -0.00772 mm
Estimated x pointing error is -1.286 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.06 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.982 mm (used 2.99 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.362 radians
x offset: -0.0133 arcsec
y offset: 0.166 arcsec
defocus: -0.00716 mm
Estimated x pointing error is -1.313 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.07 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.983 mm (used 2.99 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.373 radians
x offset: -0.00103 arcsec
y offset: 0.157 arcsec
defocus: -0.0047 mm
Estimated x pointing error is -1.301 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.06 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.985 mm (used 2.99 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.385 radians
x offset: 0.0133 arcsec
y offset: 0.14 arcsec
defocus: -0.00368 mm
Estimated x pointing error is -1.287 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.04 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.986 mm (used 2.99 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.392 radians
x offset: 0.0265 arcsec
y offset: 0.107 arcsec
defocus: -0.00369 mm
Estimated x pointing error is -1.273 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.01 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.986 mm (used 2.99 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.391 radians
x offset: 0.0442 arcsec
y offset: 0.0676 arcsec
defocus: -0.00629 mm
Estimated x pointing error is -1.256 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.97 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.984 mm (used 2.99 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.38 radians
x offset: 0.0836 arcsec
y offset: 0.0468 arcsec
defocus: -0.00909 mm
Estimated x pointing error is -1.216 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.95 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.981 mm (used 2.99 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.369 radians
x offset: 0.064 arcsec
y offset: 0.0427 arcsec
defocus: -0.0129 mm
Estimated x pointing error is -1.236 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.94 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.977 mm (used 2.99 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.362 radians
x offset: 0.103 arcsec
y offset: 0.0519 arcsec
defocus: -0.0165 mm
Estimated x pointing error is -1.197 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.95 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.974 mm (used 2.99 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.352 radians
x offset: 0.0637 arcsec
y offset: 0.0542 arcsec
defocus: -0.0158 mm
Estimated x pointing error is -1.236 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.95 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.974 mm (used 2.99 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.346 radians
x offset: 0.0957 arcsec
y offset: 0.0839 arcsec
defocus: -0.015 mm
Estimated x pointing error is -1.204 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.98 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.975 mm (used 2.99 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.342 radians
x offset: 0.103 arcsec
y offset: 0.0878 arcsec
defocus: -0.0115 mm
Estimated x pointing error is -1.197 arcsec (used -1.3 arcsec)
Estimated y pointing error is 15.99 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.979 mm (used 2.99 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.339 radians
x offset: 0.126 arcsec
y offset: 0.111 arcsec
defocus: -0.01 mm
Estimated x pointing error is -1.174 arcsec (used -1.3 arcsec)
Estimated y pointing error is 16.01 arcsec (used 15.9 arcsec)
Estimated defocus error is 2.98 mm (used 2.99 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 0.00128 piston
1 1 -0.00411 tilt_x
1 -1 -0.00180 tilt_y
2 2 -0.03256 astigmatism_0
2 0 0.00509 curvature
2 -2 0.04490 astigmatism45
3 3 -0.03647 trefoil_0
3 1 -0.01037 coma_x
3 -1 -0.01588 coma_y
3 -3 0.01189 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 0.00126 piston
1 1 -0.00320 tilt_x
1 -1 -0.00045 tilt_y
2 2 -0.03393 astigmatism_0
2 0 0.00529 curvature
2 -2 0.04850 astigmatism45
3 3 -0.03706 trefoil_0
3 1 -0.00716 coma_x
3 -1 -0.01267 coma_y
3 -3 0.01450 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 0.00121 piston
1 1 -0.00230 tilt_x
1 -1 0.00069 tilt_y
2 2 -0.03210 astigmatism_0
2 0 0.00528 curvature
2 -2 0.04913 astigmatism45
3 3 -0.03737 trefoil_0
3 1 -0.00507 coma_x
3 -1 -0.00942 coma_y
3 -3 0.01361 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 0.00112 piston
1 1 -0.00185 tilt_x
1 -1 0.00149 tilt_y
2 2 -0.03195 astigmatism_0
2 0 0.00505 curvature
2 -2 0.05061 astigmatism45
3 3 -0.03618 trefoil_0
3 1 -0.00357 coma_x
3 -1 -0.00792 coma_y
3 -3 0.01240 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 0.00104 piston
1 1 -0.00252 tilt_x
1 -1 0.00176 tilt_y
2 2 -0.02943 astigmatism_0
2 0 0.00469 curvature
2 -2 0.04901 astigmatism45
3 3 -0.03573 trefoil_0
3 1 -0.00590 coma_x
3 -1 -0.00687 coma_y
3 -3 0.01344 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 0.00097 piston
1 1 -0.00287 tilt_x
1 -1 0.00082 tilt_y
2 2 -0.03080 astigmatism_0
2 0 0.00422 curvature
2 -2 0.04920 astigmatism45
3 3 -0.03663 trefoil_0
3 1 -0.00678 coma_x
3 -1 -0.01016 coma_y
3 -3 0.01260 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 0.00090 piston
1 1 -0.00364 tilt_x
1 -1 0.00011 tilt_y
2 2 -0.02993 astigmatism_0
2 0 0.00392 curvature
2 -2 0.04815 astigmatism45
3 3 -0.03782 trefoil_0
3 1 -0.00917 coma_x
3 -1 -0.01190 coma_y
3 -3 0.01205 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 0.00094 piston
1 1 -0.00364 tilt_x
1 -1 -0.00031 tilt_y
2 2 -0.03142 astigmatism_0
2 0 0.00402 curvature
2 -2 0.04767 astigmatism45
3 3 -0.03798 trefoil_0
3 1 -0.00896 coma_x
3 -1 -0.01325 coma_y
3 -3 0.01307 trefoil_30
Fitting many Zernikes for frequency 8
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 0.00099 piston
1 1 -0.00396 tilt_x
1 -1 -0.00174 tilt_y
2 2 -0.03002 astigmatism_0
2 0 0.00402 curvature
2 -2 0.04495 astigmatism45
3 3 -0.03912 trefoil_0
3 1 -0.01019 coma_x
3 -1 -0.01660 coma_y
3 -3 0.01257 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 0.00106 piston
1 1 -0.00398 tilt_x
1 -1 -0.00137 tilt_y
2 2 -0.03128 astigmatism_0
2 0 0.00429 curvature
2 -2 0.04516 astigmatism45
3 3 -0.04156 trefoil_0
3 1 -0.01008 coma_x
3 -1 -0.01528 coma_y
3 -3 0.01515 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 0.00113 piston
1 1 -0.00422 tilt_x
1 -1 -0.00178 tilt_y
2 2 -0.03059 astigmatism_0
2 0 0.00443 curvature
2 -2 0.04526 astigmatism45
3 3 -0.04300 trefoil_0
3 1 -0.01145 coma_x
3 -1 -0.01610 coma_y
3 -3 0.01409 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 0.00110 piston
1 1 -0.00414 tilt_x
1 -1 -0.00125 tilt_y
2 2 -0.03020 astigmatism_0
2 0 0.00443 curvature
2 -2 0.04581 astigmatism45
3 3 -0.04171 trefoil_0
3 1 -0.01099 coma_x
3 -1 -0.01465 coma_y
3 -3 0.01363 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 0.00108 piston
1 1 -0.00422 tilt_x
1 -1 -0.00006 tilt_y
2 2 -0.02748 astigmatism_0
2 0 0.00459 curvature
2 -2 0.04652 astigmatism45
3 3 -0.04071 trefoil_0
3 1 -0.01167 coma_x
3 -1 -0.01109 coma_y
3 -3 0.01310 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 0.00107 piston
1 1 -0.00440 tilt_x
1 -1 0.00100 tilt_y
2 2 -0.02656 astigmatism_0
2 0 0.00460 curvature
2 -2 0.04621 astigmatism45
3 3 -0.03992 trefoil_0
3 1 -0.01205 coma_x
3 -1 -0.00817 coma_y
3 -3 0.01284 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 0.00110 piston
1 1 -0.00472 tilt_x
1 -1 0.00211 tilt_y
2 2 -0.02745 astigmatism_0
2 0 0.00477 curvature
2 -2 0.04570 astigmatism45
3 3 -0.03827 trefoil_0
3 1 -0.01278 coma_x
3 -1 -0.00496 coma_y
3 -3 0.01138 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 0.00116 piston
1 1 -0.00382 tilt_x
1 -1 0.00250 tilt_y
2 2 -0.02950 astigmatism_0
2 0 0.00501 curvature
2 -2 0.04502 astigmatism45
3 3 -0.03987 trefoil_0
3 1 -0.00975 coma_x
3 -1 -0.00381 coma_y
3 -3 0.01120 trefoil_30
Averaged 16 maps to make holo(res.mean_surface)
Computing differences from mean surface (phase)
Unweighted rms analysis, frequency 0
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.3 28.9 22.6 27.8 28.5 30.3 42.7 33.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.4 29.1 22.8 28.1 27.9 28.8 39.3 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.11 2.27 3.39 4.76 6.52 8.99 12.6 8.16
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.9 27.8 21.9 27.3 28.3 30.5 43.3 33.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35 28 22.1 27.5 27.6 28.6 40 32.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.87 1.91 3.11 4.75 6.82 9.52 13.2 8.5
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.6 27.4 21.2 26.8 28.7 30.4 43.6 33.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.7 27.6 21.3 27 28.1 28.7 40.3 32.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.662 1.59 2.82 4.55 6.73 9.45 13 8.36
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.9 27.7 20.6 26.6 28.3 29.8 44 33.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35 28 20.7 26.8 27.7 28.2 40.9 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.56 1.46 2.73 4.54 6.77 9.51 12.9 8.36
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 27.4 20.9 26.4 27.9 29.7 44.3 33.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 27.6 21 26.6 27.4 28.4 41.2 31.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.572 1.45 2.67 4.4 6.53 9.17 12.5 8.08
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.8 28.1 21.8 26.7 27.9 29.8 44.5 33.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 28.3 21.9 26.9 27.2 28.7 41.1 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.74 1.7 2.9 4.57 6.66 9.31 12.8 8.25
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 28.6 22.2 27 28 29.8 44.2 33.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.7 28.8 22.3 27.2 27.4 28.7 40.7 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.89 1.92 3.08 4.65 6.61 9.2 12.7 8.22
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.1 28.9 22.6 27.1 28.1 29.7 44 33.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.2 29.1 22.7 27.4 27.4 28.4 40.5 31.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.945 2.01 3.17 4.72 6.67 9.28 12.9 8.31
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 29.4 22.5 27.1 27.9 29.7 44.3 33.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 29.6 22.7 27.2 27.5 28.4 40.9 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.14 2.3 3.41 4.77 6.5 8.98 12.6 8.16
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 30.3 21.8 29.2 28.5 29.7 43.8 33.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 30.5 22 29.4 27.9 28 40.5 32.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.07 2.2 3.34 4.79 6.65 9.28 13.1 8.4
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.8 31 21.8 29.6 28.3 29.9 43.9 33.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 31.2 22.1 29.8 27.9 28.1 40.4 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.15 2.34 3.47 4.88 6.7 9.31 13.2 8.47
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.4 30.9 22.8 29.6 29.1 30 43.3 34.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.5 31.1 23.1 29.9 28.5 28.1 40.2 32.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.07 2.2 3.34 4.79 6.64 9.25 13 8.37
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.1 30.4 23 29.2 28.6 30.6 42.8 34.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.2 30.6 23.2 29.4 28.2 28.7 39.7 32.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.946 1.99 3.12 4.62 6.5 9.07 12.7 8.17
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.9 29.6 23 27.8 28.7 30.3 42.4 33.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36 29.8 23.1 28 28.1 28.5 39.5 32.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.86 1.85 2.97 4.49 6.39 8.93 12.5 8.01
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.8 28.7 22.4 26.9 28.4 30.3 42.7 33.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.9 28.8 22.5 27.1 27.9 28.6 39.8 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.813 1.77 2.88 4.41 6.3 8.81 12.2 7.88
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.2 28.2 21.9 26 28.2 30.3 42.8 33.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.2 28.3 22 26.3 27.6 28.8 39.9 32.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.64 1.51 2.66 4.29 6.34 8.96 12.4 7.96
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 27.9 19.9 25.1 26.8 28.3 41.6 31.8
Mean deviation is 1.8060182578168877 microns
Taper = 10 dB, Ruze illumination-weighted rms = 31.1 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 = 28.5 micron
Centre pixel: 64.0 64.0 Value = 2532.41 (estimate), 3426.12 (perfect)
Strehl = 0.546341
Strehl ratio estimate = 0.5463
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 = 27.7 micron
Centre pixel: 64.0 64.0 Value = 1984.66 (estimate), 3426.12 (perfect)
Strehl = 0.335557
Strehl ratio estimate = 0.3356
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 51.2 20.7 -10.0 56.1
2 1 2 68.6 0.7 37.5 78.2
3 1 3 93.5 -0.4 13.6 94.5
4 1 4 92.1 25.9 -1.5 95.7
5 1 5 9.3 6.8 65.0 66.0
6 1 6 61.2 17.3 20.4 66.8
7 1 7 9.2 23.0 -1.9 24.8
8 1 8 21.4 37.2 61.1 74.6
9 1 9 -1.9 16.8 30.6 35.0
10 1 10 71.1 40.4 25.1 85.6
11 1 11 83.2 64.8 32.5 110.3
12 1 12 82.1 14.8 28.3 88.1
13 2 1 50.7 -29.0 -29.7 65.5
14 2 2 43.1 -39.7 -31.8 66.7
15 2 3 54.7 -21.6 -46.8 75.2
16 2 4 20.7 -30.4 -15.2 39.8
17 2 5 63.5 -19.3 6.3 66.7
18 2 6 51.3 -0.7 14.4 53.3
19 2 7 7.5 -17.6 -4.9 19.7
20 2 8 76.2 -36.4 -45.1 95.7
21 2 9 31.5 -26.7 -10.3 42.6
22 2 10 -5.1 -9.7 17.3 20.5
23 2 11 0.9 -15.7 -0.3 15.7
24 2 12 -2.7 -37.4 -47.2 60.3
25 2 13 6.0 7.9 -19.8 22.2
26 2 14 2.9 -56.8 -4.1 57.0
27 2 15 28.5 -2.2 -35.2 45.3
28 2 16 -2.1 14.7 -9.1 17.4
29 2 17 19.8 -20.3 -21.6 35.6
30 2 18 55.4 -7.2 -29.7 63.3
31 2 19 3.3 -4.4 -35.1 35.5
32 2 20 59.8 -49.5 -23.2 81.0
33 2 21 60.5 6.1 -41.4 73.6
34 2 22 9.2 -67.3 -78.4 103.7
35 2 23 86.2 -31.5 -12.9 92.7
36 2 24 57.5 -35.8 -45.9 81.9
37 3 1 -2.6 9.0 -24.5 26.2
38 3 2 -8.7 14.9 -30.6 35.1
39 3 3 2.1 16.1 -42.5 45.5
40 3 4 0.9 5.3 -19.6 20.3
41 3 5 -22.4 2.7 -47.1 52.2
42 3 6 -21.7 3.7 -28.3 35.8
43 3 7 -9.1 1.5 -52.2 53.0
44 3 8 0.1 -0.0 -34.1 34.1
45 3 9 12.7 -8.6 -51.4 53.6
46 3 10 17.4 11.9 -27.0 34.3
47 3 11 -5.0 5.1 -43.1 43.7
48 3 12 1.8 22.4 -26.3 34.6
49 3 13 -31.5 11.3 -30.3 45.2
50 3 14 -5.6 4.1 -42.6 43.2
51 3 15 -15.2 3.7 -16.9 23.0
52 3 16 -4.1 9.4 -26.6 28.5
53 3 17 22.1 4.6 -29.4 37.1
54 3 18 12.8 23.3 -9.6 28.2
55 3 19 18.1 17.3 -57.4 62.6
56 3 20 -30.3 -0.7 -15.6 34.1
57 3 21 -19.2 0.4 -47.2 51.0
58 3 22 -8.0 5.6 -8.2 12.8
59 3 23 -35.3 7.2 -27.6 45.4
60 3 24 -5.1 -6.6 -32.8 33.8
61 3 25 -18.2 -7.9 -15.8 25.4
62 3 26 -40.5 8.6 8.6 42.3
63 3 27 -42.5 5.0 -22.2 48.2
64 3 28 -5.4 4.4 -48.7 49.2
65 3 29 -12.6 -3.9 -7.3 15.0
66 3 30 8.2 5.9 -34.1 35.6
67 3 31 -20.7 22.1 -10.3 32.0
68 3 32 -18.5 -9.4 -33.4 39.3
69 3 33 -13.0 12.4 -9.7 20.4
70 3 34 17.9 4.3 -6.2 19.4
71 3 35 19.3 14.9 -59.0 63.8
72 3 36 42.1 11.7 -25.4 50.6
73 3 37 -30.1 10.7 -74.3 80.9
74 3 38 -21.8 20.6 -46.1 55.0
75 3 39 12.8 9.8 -47.8 50.5
76 3 40 4.1 7.1 -65.8 66.3
77 3 41 7.5 2.5 -28.0 29.1
78 3 42 5.0 18.4 -25.9 32.2
79 3 43 -7.8 19.4 -22.4 30.6
80 3 44 40.6 10.3 -13.8 44.1
81 3 45 20.2 16.2 -47.7 54.2
82 3 46 12.9 21.0 -37.0 44.5
83 3 47 -34.1 8.8 -30.2 46.4
84 3 48 12.4 6.3 -45.1 47.2
85 4 1 16.5 -14.5 6.1 22.8
86 4 2 7.8 -16.2 -85.2 87.1
87 4 3 -22.5 -7.7 -70.6 74.5
88 4 4 0.5 5.5 -106.2 106.4
89 4 5 9.3 8.1 -54.0 55.4
90 4 6 -0.9 7.8 -43.5 44.3
91 4 7 -3.5 1.5 -20.3 20.6
92 4 8 -31.2 6.3 -50.6 59.8
93 4 9 -25.9 -0.6 -41.3 48.7
94 4 10 -44.9 10.8 -62.7 77.9
95 4 11 -25.4 -4.3 -54.8 60.6
96 4 12 -46.6 8.4 -42.9 63.9
97 4 13 -35.4 -5.8 22.2 42.2
98 4 14 -7.0 11.8 -27.9 31.1
99 4 15 -40.2 -12.5 -29.4 51.3
100 4 16 -57.8 24.5 -28.5 68.9
101 4 17 -24.0 10.3 -45.4 52.4
102 4 18 8.1 2.8 -9.0 12.4
103 4 19 -31.5 -4.9 -38.2 49.7
104 4 20 -8.9 -2.5 -43.1 44.0
105 4 21 -16.0 -12.2 -10.6 22.8
106 4 22 -94.3 -5.5 35.7 101.0
107 4 23 -52.6 -26.8 4.3 59.2
108 4 24 -40.2 11.5 34.0 53.9
109 4 25 -64.8 14.8 34.1 74.7
110 4 26 -30.6 -7.6 -8.4 32.6
111 4 27 -37.4 -1.7 20.5 42.7
112 4 28 -36.1 -24.4 5.9 44.0
113 4 29 -45.2 -11.1 -82.6 94.8
114 4 30 -40.6 -3.6 -2.5 40.8
115 4 31 -48.7 0.3 -30.6 57.5
116 4 32 -44.3 2.7 -26.9 51.9
117 4 33 -43.3 25.9 16.0 52.9
118 4 34 -4.4 -18.3 -25.5 31.7
119 4 35 -40.1 16.7 -71.8 83.9
120 4 36 -62.4 7.1 -87.5 107.7
121 4 37 -18.9 21.3 -29.3 40.8
122 4 38 -10.1 -13.9 -49.0 51.9
123 4 39 -26.1 14.6 -22.4 37.4
124 4 40 -14.6 -3.2 -32.5 35.8
125 4 41 -24.7 41.1 -34.3 58.9
126 4 42 -9.4 11.0 -59.6 61.4
127 4 43 -29.0 3.7 -69.5 75.4
128 4 44 7.0 16.4 -44.7 48.1
129 4 45 9.2 10.0 -74.4 75.7
130 4 46 -29.1 -10.3 -75.4 81.5
131 4 47 -0.2 -24.0 -157.0 158.9
132 4 48 -26.9 -18.4 -24.6 40.8
133 5 1 16.6 44.9 -11.1 49.1
134 5 2 34.7 39.8 -36.5 64.2
135 5 3 -25.7 52.8 -32.1 66.9
136 5 4 -15.0 2.8 -28.0 31.9
137 5 5 -27.1 -2.1 -77.1 81.8
138 5 6 -13.9 8.1 -68.7 70.6
139 5 7 -9.5 38.7 -21.0 45.0
140 5 8 -10.4 32.7 -58.9 68.2
141 5 9 -4.7 12.2 -41.8 43.8
142 5 10 -31.5 36.1 -27.7 55.4
143 5 11 -14.3 6.6 -20.7 26.0
144 5 12 -37.4 40.0 -39.0 67.2
145 5 13 -21.4 14.8 -39.7 47.4
146 5 14 -24.0 40.8 -42.0 63.3
147 5 15 -1.3 30.0 0.3 30.0
148 5 16 -14.1 32.6 -28.8 45.7
149 5 17 -9.9 29.7 55.1 63.4
150 5 18 -0.1 3.7 175.6 175.6
151 5 19 -13.1 4.5 -27.7 31.0
152 5 20 -28.8 1.7 -28.0 40.2
153 5 21 -6.9 26.5 14.9 31.2
154 5 22 -8.9 44.6 29.1 54.0
155 5 23 -11.1 30.2 10.4 33.8
156 5 24 43.7 20.3 21.6 52.8
157 5 25 38.4 22.3 1.0 44.4
158 5 26 -4.4 25.4 -7.6 26.9
159 5 27 21.8 58.6 -46.0 77.6
160 5 28 4.6 6.1 4.8 9.0
161 5 29 13.4 11.6 -26.2 31.6
162 5 30 -14.8 -14.5 40.8 45.7
163 5 31 -11.5 -5.0 -38.8 40.8
164 5 32 -44.2 -25.2 -14.4 52.9
165 5 33 13.1 15.2 -11.0 22.9
166 5 34 -19.6 2.3 23.5 30.7
167 5 35 -9.1 31.3 -17.1 36.8
168 5 36 -45.0 4.4 -47.3 65.5
169 5 37 11.0 44.2 -46.1 64.8
170 5 38 -15.4 -7.6 -39.7 43.3
171 5 39 -11.5 95.6 -76.3 122.9
172 5 40 -37.5 21.8 -54.1 69.4
173 5 41 23.1 50.6 -27.2 61.9
174 5 42 -28.1 -4.6 -64.0 70.1
175 5 43 -31.3 6.5 -62.4 70.1
176 5 44 -8.6 22.6 -60.1 64.8
177 5 45 17.8 36.1 -48.1 62.7
178 5 46 -3.5 39.5 21.7 45.2
179 5 47 25.6 22.4 -62.0 70.7
180 5 48 -0.5 48.6 -42.2 64.3
181 6 1 6.4 22.3 -37.1 43.8
182 6 2 2.6 23.0 -62.5 66.7
183 6 3 -2.3 16.6 -48.0 50.9
184 6 4 -41.0 23.0 -88.3 100.1
185 6 5 -29.0 6.2 -60.7 67.5
186 6 6 -14.4 11.7 -62.3 65.0
187 6 7 -17.5 -3.5 -84.3 86.2
188 6 8 -27.0 -2.4 -49.1 56.1
189 6 9 -29.9 -23.6 -87.5 95.5
190 6 10 -9.0 8.8 -28.6 31.2
191 6 11 3.6 0.6 -52.1 52.2
192 6 12 -24.7 2.8 -51.5 57.2
193 6 13 -8.0 9.4 -61.5 62.8
194 6 14 -27.6 14.7 -58.7 66.5
195 6 15 4.3 -15.3 -29.6 33.6
196 6 16 -32.5 26.5 -34.1 54.0
197 6 17 -39.2 -9.7 -19.9 45.0
198 6 18 -17.8 29.9 -101.8 107.6
199 6 19 34.4 8.9 37.7 51.8
200 6 20 2.2 47.9 81.7 94.7
201 6 21 -40.0 33.2 -72.9 89.5
202 6 22 36.7 37.0 22.4 56.7
203 6 23 11.4 29.9 88.2 93.8
204 6 24 -11.4 20.4 27.3 35.9
205 6 25 -52.9 19.2 -47.5 73.7
206 6 26 -37.0 -17.9 -12.1 42.8
207 6 27 -62.6 -19.9 -49.1 82.0
208 6 28 -15.2 -2.9 2.0 15.6
209 6 29 -64.2 24.6 -63.5 93.6
210 6 30 -37.1 23.0 29.4 52.6
211 6 31 -26.6 27.5 6.0 38.8
212 6 32 -54.1 -54.4 31.7 83.0
213 6 33 -18.0 10.0 144.2 145.7
214 6 34 70.0 16.6 14.5 73.4
215 6 35 -18.3 23.7 4.7 30.3
216 6 36 -27.1 26.0 23.6 44.3
217 6 37 -6.1 39.7 32.3 51.6
218 6 38 -0.5 3.7 -15.8 16.2
219 6 39 39.5 25.9 7.9 47.9
220 6 40 -5.9 34.6 -57.4 67.3
221 6 41 -22.8 20.6 -35.9 47.3
222 6 42 10.3 17.7 -4.4 21.0
223 6 43 -24.2 13.2 22.1 35.4
224 6 44 -23.2 24.5 -11.3 35.6
225 6 45 -26.2 54.3 -17.1 62.6
226 6 46 11.4 41.8 0.7 43.3
227 6 47 -8.7 14.8 -44.7 47.9
228 6 48 -5.2 30.0 -20.3 36.6
229 7 1 -8.8 103.2 36.8 109.9
230 7 2 -39.8 55.7 2.3 68.5
231 7 3 -26.2 63.8 17.4 71.1
232 7 4 10.9 37.6 62.5 73.8
233 7 5 -28.9 5.2 3.8 29.6
234 7 6 -30.2 38.4 -15.9 51.4
235 7 7 -41.7 18.7 -33.8 56.8
236 7 8 -18.9 -1.4 -34.6 39.5
237 7 9 17.1 -104.4 65.0 124.1
238 7 10 -11.1 26.4 -32.7 43.4
239 7 11 -3.5 -7.8 -43.0 43.9
240 7 12 -1.6 25.3 14.1 29.0
241 7 13 -48.4 13.6 -25.9 56.5
242 7 14 -21.0 30.7 -12.8 39.3
243 7 15 -15.5 -10.6 -14.1 23.5
244 7 16 25.0 -82.1 25.2 89.4
245 7 17 17.0 -18.3 47.5 53.7
246 7 18 5.6 72.3 1.1 72.6
247 7 19 50.1 41.0 76.8 100.5
248 7 20 34.9 -0.9 52.4 62.9
249 7 21 76.8 11.1 117.8 141.0
250 7 22 4.3 -19.5 34.3 39.7
251 7 23 62.6 43.4 30.5 82.0
252 7 24 -1.5 38.3 52.7 65.2
253 7 25 -59.3 29.9 -0.2 66.4
254 7 26 -13.7 24.4 -23.0 36.2
255 7 27 2.0 13.9 -54.8 56.5
256 7 28 -37.4 -90.9 262.9 280.7
257 7 29 -23.5 3.1 -30.5 38.7
258 7 30 -40.1 -54.9 -43.0 80.5
259 7 31 -48.8 -29.2 -88.7 105.4
260 7 32 5.9 -19.0 -77.1 79.6
261 7 33 -26.9 -394.8 115.2 412.1
262 7 34 28.3 -13.1 -55.5 63.7
263 7 35 10.8 46.8 -21.8 52.7
264 7 36 14.3 20.9 -6.2 26.1
265 7 37 11.8 54.9 -1.8 56.2
266 7 38 14.8 9.9 -20.1 26.8
267 7 39 73.9 62.6 -41.4 105.3
268 7 40 65.5 -12.8 17.5 69.0
269 7 41 14.4 21.2 -2.0 25.7
270 7 42 30.6 18.9 -38.4 52.6
271 7 43 -40.2 65.2 -73.2 105.9
272 7 44 8.7 35.1 -20.4 41.5
273 7 45 19.9 -25.2 60.6 68.5
274 7 46 31.2 67.1 13.2 75.1
275 7 47 50.8 89.0 -19.5 104.3
276 7 48 42.1 220.3 38.3 227.6
Creating sector-motor-move file
sector motor steps
1 1 19
1 2 11
1 3 3
1 4 -27
1 5 7
1 6 -12
1 7 5
1 8 19
1 9 -8
1 10 -14
1 11 5
1 12 0
1 13 0
1 14 17
1 15 -12
1 16 -19
1 17 7
1 18 0
1 19 11
1 20 31
1 21 -2
1 22 -11
1 23 6
1 24 1
1 25 -8
1 26 0
1 27 -4
1 28 -32
1 29 1
1 30 0
1 31 -9
1 32 16
1 33 -7
1 34 -21
1 35 -2
1 36 -6
1 37 -11
1 38 12
1 39 10
1 40 -26
1 41 -4
1 42 2
1 43 -3
1 44 13
1 45 5
1 46 1
1 47 -4
1 48 5
1 49 -13
1 50 4
1 51 0
1 52 -9
1 53 -12
1 54 13
1 55 -9
1 56 4
1 57 -2
1 58 6
1 59 15
1 60 -3
1 61 -7
1 62 2
1 63 0
1 64 -6
1 65 15
1 66 -9
1 67 -6
1 68 1
1 69 0
2 1 -10
2 2 0
2 3 -5
2 4 -15
2 5 0
2 6 -8
2 7 -10
2 8 5
2 9 -12
2 10 -25
2 11 -1
2 12 -5
2 13 -4
2 14 11
2 15 -9
2 16 -19
2 17 3
2 18 -4
2 19 1
2 20 1
2 21 -8
2 22 -18
2 23 1
2 24 -8
2 25 -18
2 26 10
2 27 -3
2 28 -15
2 29 1
2 30 -9
2 31 -6
2 32 11
2 33 -2
2 34 -6
2 35 0
2 36 -1
2 37 -21
2 38 2
2 39 -4
2 40 -13
2 41 2
2 42 0
2 43 -23
2 44 0
2 45 -8
2 46 -16
2 47 2
2 48 2
2 49 -16
2 50 0
2 51 -2
2 52 -4
2 53 -9
2 54 6
2 55 -8
2 56 1
2 57 -6
2 58 0
2 59 21
2 60 11
2 61 -14
2 62 0
2 63 -6
2 64 -5
2 65 16
2 66 -14
2 67 -10
2 68 0
2 69 0
3 1 4
3 2 7
3 3 0
3 4 -15
3 5 0
3 6 -7
3 7 -13
3 8 -2
3 9 -1
3 10 -15
3 11 0
3 12 1
3 13 -10
3 14 8
3 15 -3
3 16 -8
3 17 2
3 18 -2
3 19 19
3 20 -32
3 21 5
3 22 -26
3 23 -7
3 24 -9
3 25 -11
3 26 12
3 27 -11
3 28 -13
3 29 2
3 30 -14
3 31 -6
3 32 2
3 33 -4
3 34 -16
3 35 -1
3 36 -7
3 37 -8
3 38 11
3 39 -9
3 40 -19
3 41 3
3 42 -13
3 43 -12
3 44 3
3 45 -1
3 46 -12
3 47 0
3 48 -7
3 49 -13
3 50 1
3 51 -1
3 52 4
3 53 0
3 54 15
3 55 -8
3 56 3
3 57 5
3 58 0
3 59 28
3 60 4
3 61 -15
3 62 -2
3 63 3
3 64 -5
3 65 19
3 66 1
3 67 -8
3 68 6
3 69 0
4 1 7
4 2 -25
4 3 7
4 4 -10
4 5 8
4 6 -9
4 7 -4
4 8 -3
4 9 -4
4 10 -9
4 11 -4
4 12 1
4 13 -3
4 14 9
4 15 -6
4 16 -18
4 17 4
4 18 -8
4 19 -7
4 20 4
4 21 -14
4 22 -18
4 23 2
4 24 -2
4 25 -8
4 26 10
4 27 -4
4 28 -8
4 29 7
4 30 -17
4 31 0
4 32 9
4 33 0
4 34 -9
4 35 -3
4 36 -12
4 37 -12
4 38 12
4 39 -7
4 40 -8
4 41 3
4 42 -2
4 43 -12
4 44 4
4 45 -6
4 46 6
4 47 -1
4 48 -10
4 49 -5
4 50 1
4 51 -4
4 52 -13
4 53 -11
4 54 23
4 55 -13
4 56 1
4 57 -1
4 58 7
4 59 28
4 60 0
4 61 -9
4 62 3
4 63 -9
4 64 -8
4 65 2
4 66 -1
4 67 -8
4 68 2
4 69 -1
5 1 16
5 2 0
5 3 10
5 4 25
5 5 14
5 6 0
5 7 23
5 8 12
5 9 15
5 10 11
5 11 2
5 12 10
5 13 0
5 14 22
5 15 1
5 16 -31
5 17 9
5 18 -5
5 19 14
5 20 -5
5 21 5
5 22 -6
5 23 -2
5 24 -12
5 25 -8
5 26 0
5 27 -8
5 28 -13
5 29 0
5 30 -2
5 31 -8
5 32 1
5 33 -4
5 34 -11
5 35 -1
5 36 -9
5 37 53
5 38 1
5 39 0
5 40 -2
5 41 0
5 42 2
5 43 16
5 44 9
5 45 -3
5 46 -13
5 47 3
5 48 -7
5 49 -17
5 50 5
5 51 5
5 52 5
5 53 -2
5 54 -1
5 55 -2
5 56 7
5 57 3
5 58 2
5 59 2
5 60 19
5 61 -9
5 62 1
5 63 6
5 64 -4
5 65 9
5 66 -3
5 67 -4
5 68 0
5 69 -9
6 1 16
6 2 11
6 3 0
6 4 8
6 5 6
6 6 -3
6 7 9
6 8 13
6 9 19
6 10 27
6 11 9
6 12 3
6 13 10
6 14 -5
6 15 1
6 16 6
6 17 11
6 18 11
6 19 36
6 20 3
6 21 23
6 22 -22
6 23 10
6 24 -12
6 25 6
6 26 6
6 27 13
6 28 10
6 29 3
6 30 -12
6 31 3
6 32 9
6 33 -3
6 34 1
6 35 -8
6 36 -16
6 37 8
6 38 13
6 39 -2
6 40 10
6 41 -1
6 42 -28
6 43 4
6 44 8
6 45 -2
6 46 -3
6 47 -3
6 48 -4
6 49 -8
6 50 2
6 51 -10
6 52 -14
6 53 -11
6 54 0
6 55 -2
6 56 1
6 57 -2
6 58 5
6 59 18
6 60 6
6 61 -14
6 62 0
6 63 -5
6 64 2
6 65 0
6 66 0
6 67 -10
6 68 -2
6 69 -1
7 1 80
7 2 -27
7 3 -11
7 4 0
7 5 0
7 6 -4
7 7 -16
7 8 4
7 9 0
7 10 -15
7 11 -6
7 12 -19
7 13 -7
7 14 7
7 15 -4
7 16 -3
7 17 -5
7 18 -11
7 19 0
7 20 9
7 21 -18
7 22 -14
7 23 5
7 24 -16
7 25 1
7 26 1
7 27 1
7 28 1
7 29 -7
7 30 -11
7 31 -14
7 32 17
7 33 6
7 34 6
7 35 0
7 36 -11
7 37 -2
7 38 7
7 39 -1
7 40 -2
7 41 -2
7 42 -9
7 43 0
7 44 6
7 45 11
7 46 10
7 47 4
7 48 -19
7 49 -6
7 50 1
7 51 -13
7 52 -1
7 53 -17
7 54 0
7 55 2
7 56 2
7 57 -12
7 58 7
7 59 2
7 60 0
7 61 -4
7 62 -2
7 63 -5
7 64 0
7 65 1
7 66 -6
7 67 -14
7 68 1
7 69 -1
8 1 -23
8 2 -5
8 3 1
8 4 9
8 5 -16
8 6 -16
8 7 -27
8 8 -8
8 9 -14
8 10 1
8 11 8
8 12 -8
8 13 -13
8 14 -16
8 15 -12
8 16 9
8 17 7
8 18 -11
8 19 -9
8 20 0
8 21 -7
8 22 -19
8 23 7
8 24 -19
8 25 -4
8 26 -7
8 27 -13
8 28 -8
8 29 0
8 30 -13
8 31 -11
8 32 -1
8 33 -3
8 34 -9
8 35 0
8 36 -14
8 37 12
8 38 -4
8 39 -4
8 40 0
8 41 -1
8 42 -12
8 43 -8
8 44 3
8 45 4
8 46 -25
8 47 -3
8 48 -13
8 49 -3
8 50 6
8 51 -6
8 52 -2
8 53 4
8 54 0
8 55 -10
8 56 1
8 57 2
8 58 11
8 59 6
8 60 18
8 61 -2
8 62 -1
8 63 -3
8 64 -6
8 65 8
8 66 -10
8 67 -10
8 68 -2
8 69 -5
9 1 -1
9 2 6
9 3 4
9 4 7
9 5 7
9 6 -8
9 7 -6
9 8 14
9 9 3
9 10 1
9 11 7
9 12 -5
9 13 -17
9 14 -4
9 15 8
9 16 4
9 17 5
9 18 21
9 19 35
9 20 -100
9 21 -8
9 22 44
9 23 3
9 24 -5
9 25 -14
9 26 1
9 27 -13
9 28 -26
9 29 2
9 30 -19
9 31 -5
9 32 9
9 33 -2
9 34 -22
9 35 5
9 36 -12
9 37 7
9 38 0
9 39 -6
9 40 -7
9 41 -5
9 42 -1
9 43 -3
9 44 4
9 45 4
9 46 4
9 47 7
9 48 -13
9 49 -18
9 50 4
9 51 5
9 52 -9
9 53 -2
9 54 16
9 55 -1
9 56 1
9 57 5
9 58 5
9 59 0
9 60 9
9 61 -2
9 62 3
9 63 -3
9 64 -1
9 65 6
9 66 -6
9 67 -7
9 68 3
9 69 12
10 1 5
10 2 -3
10 3 20
10 4 -17
10 5 10
10 6 -1
10 7 -12
10 8 19
10 9 22
10 10 2
10 11 7
10 12 12
10 13 -6
10 14 3
10 15 4
10 16 -4
10 17 1
10 18 0
10 19 0
10 20 16
10 21 3
10 22 9
10 23 12
10 24 -1
10 25 -16
10 26 6
10 27 -11
10 28 -9
10 29 0
10 30 -4
10 31 -23
10 32 29
10 33 -3
10 34 -6
10 35 4
10 36 -7
10 37 -12
10 38 -2
10 39 -4
10 40 -15
10 41 -4
10 42 -3
10 43 -14
10 44 13
10 45 3
10 46 -8
10 47 6
10 48 -5
10 49 -14
10 50 2
10 51 3
10 52 -7
10 53 -15
10 54 18
10 55 -14
10 56 6
10 57 -6
10 58 12
10 59 21
10 60 7
10 61 -22
10 62 3
10 63 -9
10 64 1
10 65 1
10 66 -10
10 67 -20
10 68 2
10 69 1
11 1 -6
11 2 10
11 3 2
11 4 -3
11 5 7
11 6 -7
11 7 -22
11 8 19
11 9 -12
11 10 6
11 11 4
11 12 -7
11 13 -11
11 14 5
11 15 9
11 16 -1
11 17 5
11 18 3
11 19 0
11 20 6
11 21 4
11 22 -11
11 23 6
11 24 -6
11 25 -18
11 26 6
11 27 -2
11 28 -13
11 29 5
11 30 2
11 31 -19
11 32 2
11 33 -9
11 34 -21
11 35 1
11 36 -8
11 37 -19
11 38 -1
11 39 -8
11 40 -18
11 41 3
11 42 -2
11 43 -8
11 44 15
11 45 7
11 46 -10
11 47 12
11 48 -7
11 49 -6
11 50 5
11 51 -2
11 52 -24
11 53 -20
11 54 2
11 55 -7
11 56 5
11 57 1
11 58 19
11 59 25
11 60 9
11 61 -8
11 62 0
11 63 2
11 64 -9
11 65 18
11 66 -12
11 67 -4
11 68 3
11 69 12
12 1 11
12 2 67
12 3 12
12 4 -6
12 5 9
12 6 -1
12 7 -5
12 8 27
12 9 15
12 10 -13
12 11 4
12 12 -2
12 13 4
12 14 20
12 15 9
12 16 0
12 17 12
12 18 3
12 19 18
12 20 -7
12 21 6
12 22 -5
12 23 16
12 24 -8
12 25 -12
12 26 14
12 27 0
12 28 -7
12 29 -5
12 30 -8
12 31 -19
12 32 6
12 33 7
12 34 -48
12 35 -7
12 36 0
12 37 6
12 38 12
12 39 -1
12 40 -23
12 41 -3
12 42 -8
12 43 -14
12 44 11
12 45 5
12 46 -22
12 47 3
12 48 2
12 49 -9
12 50 2
12 51 -10
12 52 -14
12 53 -10
12 54 17
12 55 -11
12 56 6
12 57 3
12 58 4
12 59 25
12 60 8
12 61 -14
12 62 4
12 63 6
12 64 -8
12 65 26
12 66 -3
12 67 -13
12 68 1
12 69 3
!!!Warning!!! Truncated 1 recommended moves exceeding 100 steps
!!!Warning!!! sector 9 motor 20:: move = -121
Adjuster movements: rms = 40.1 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050627-133403
Creating HTML output file of plots
Plotting summary text