![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20041118-010140.fits
Reduced on 20041118-103655 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 | rxh3-20041118-010140.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -6.4 |
| data.pointing_offset_y | 18.5 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.89 |
| 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 | 0.033890000000000003 |
| 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: 20041118-103655
Reading data from rxh3-20041118-010140.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 = 2402.5 max = 2422.7 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.890 mm
----------------- Data Summary ---------------------
Number of samples: 1466025
This is a 160 GHz map
Number of frequencies: 16
Frequencies (GHz):
160.676000 160.680000 160.684000 160.688000 160.692000 160.696000
160.700000 160.704000 160.708000 160.712000 160.716000 160.720000
160.724000 160.728000 160.732000 160.736000
item min max mean
loreal -3.12744 2.97607 -0.00027
loimag -3.31055 3.08105 -0.00684
hireal -5.00000 4.99756 0.01118
hiimag -5.00000 4.99756 0.02640
xpos -2422.70217 2410.39581 -10.21542
ypos -2402.48129 2402.46045 -0.00156
plock160 1.55273 2.84912 2.26158
lorefpwr 1.55518 3.09082 2.63425
losigpwr -4.65088 -0.29541 -4.53709
hirefpwr 1.61621 3.09814 2.65877
hisigpwr -4.57031 4.99756 -1.47302
encltemp 28.68652 30.22461 29.45261
flags 0.00000 257.00000 2.56970
phi-lock -0.80566 0.48828 -0.20149
sindex 0.00000 254.00000 126.60925
time 0.00000 5876.99217 2937.60853
zeropt -0.00732 -0.00244 -0.00485
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 255 rows
There are 241 data rows and 14 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 147 168 189 210 231 252 254
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 20.00298 arcsec
Mean row spacing = 20.00299 arcsec (alternate estimator)
Mean tracking incline = -0.11688 arcsec
Mean pointing range = 0.55741 arcsec
Mean pointing rms = 0.10518 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-6.4, 18.5 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Inverting the phase on this 160 GHz map
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 183249 0 0 0 0 0 0 0 14000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90354 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90354 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 20.0 arcseconds
Using a grid of 256 points
Grid has even number of points
Maximum data offset = 2422.7 arcsec
Grid extent = 2550 arcsec
lambda_min = 0.00186512
scale = 0.00259937
Diffraction scale lambda/D = 25.6569 arcsec
Gridding function extent = 153.941 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 76.9706 arcsec
Airy first null at 31.2929 arcsec
Gridding frequency index 0
lambda = 0.00186582 metres, scale = 0.0025984 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 = 3.00923 at (0.0, 0.0) arcsec
Real: mean = 0.000376537 sum of squares = 2082.19
Imag: mean = 0.000392915 sum of squares = 2268.51
Gridding frequency index 1
lambda = 0.00186577 metres, scale = 0.00259846 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 = 2.97552 at (0.0, 0.0) arcsec
Real: mean = 0.000163834 sum of squares = 2165.76
Imag: mean = 0.000573021 sum of squares = 2196.43
Gridding frequency index 2
lambda = 0.00186573 metres, scale = 0.00259852 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 = 2.975 at (0.0, 0.0) arcsec
Real: mean = -3.3683e-05 sum of squares = 2282.49
Imag: mean = 0.000424268 sum of squares = 2095.61
Gridding frequency index 3
lambda = 0.00186568 metres, scale = 0.00259859 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 = 2.99462 at (0.0, 0.0) arcsec
Real: mean = -8.75923e-05 sum of squares = 2181.75
Imag: mean = 0.000312732 sum of squares = 2208.96
Gridding frequency index 4
lambda = 0.00186563 metres, scale = 0.00259865 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 = 3.04259 at (0.0, 0.0) arcsec
Real: mean = -5.46823e-05 sum of squares = 2109.19
Imag: mean = 7.26272e-05 sum of squares = 2303.07
Gridding frequency index 5
lambda = 0.00186559 metres, scale = 0.00259872 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 = 3.06973 at (0.0, 0.0) arcsec
Real: mean = 0.000201195 sum of squares = 2264.19
Imag: mean = -4.2757e-06 sum of squares = 2170.1
Gridding frequency index 6
lambda = 0.00186554 metres, scale = 0.00259878 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 = 3.07456 at (0.0, 0.0) arcsec
Real: mean = 0.000395896 sum of squares = 2303.82
Imag: mean = 0.000177737 sum of squares = 2157.21
Gridding frequency index 7
lambda = 0.00186549 metres, scale = 0.00259885 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 = 3.06228 at (0.0, 0.0) arcsec
Real: mean = 0.000344636 sum of squares = 2177.9
Imag: mean = 0.000348399 sum of squares = 2314.36
Gridding frequency index 8
lambda = 0.00186545 metres, scale = 0.00259891 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 = 3.03184 at (0.0, 0.0) arcsec
Real: mean = 0.000311061 sum of squares = 2199.37
Imag: mean = 0.000479852 sum of squares = 2324.85
Gridding frequency index 9
lambda = 0.0018654 metres, scale = 0.00259898 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 = 3.03558 at (0.0, 0.0) arcsec
Real: mean = 3.62901e-05 sum of squares = 2372.15
Imag: mean = 0.000590974 sum of squares = 2188.99
Gridding frequency index 10
lambda = 0.00186536 metres, scale = 0.00259904 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 = 3.07307 at (0.0, 0.0) arcsec
Real: mean = -7.98084e-05 sum of squares = 2330.17
Imag: mean = 0.000343992 sum of squares = 2271.78
Gridding frequency index 11
lambda = 0.00186531 metres, scale = 0.00259911 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 = 3.10576 at (0.0, 0.0) arcsec
Real: mean = -7.72167e-05 sum of squares = 2220.12
Imag: mean = 0.000172312 sum of squares = 2424.68
Gridding frequency index 12
lambda = 0.00186526 metres, scale = 0.00259917 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 = 3.12405 at (0.0, 0.0) arcsec
Real: mean = 0.000158871 sum of squares = 2341
Imag: mean = 2.58952e-05 sum of squares = 2341.66
Gridding frequency index 13
lambda = 0.00186522 metres, scale = 0.00259924 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 = 3.14628 at (0.0, 0.0) arcsec
Real: mean = 0.000310099 sum of squares = 2459.2
Imag: mean = 0.00017017 sum of squares = 2260.58
Gridding frequency index 14
lambda = 0.00186517 metres, scale = 0.0025993 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 = 3.13775 at (0.0, 0.0) arcsec
Real: mean = 0.000409747 sum of squares = 2345.91
Imag: mean = 0.000227705 sum of squares = 2417.1
Gridding frequency index 15
lambda = 0.00186512 metres, scale = 0.00259937 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 = 3.10874 at (0.0, 0.0) arcsec
Real: mean = 0.000360644 sum of squares = 2310.25
Imag: mean = 0.000561514 sum of squares = 2497.98
Masking frequency index 0
Mask scale size = 6.11769
Masking frequency index 1
Mask scale size = 6.11784
Masking frequency index 2
Mask scale size = 6.118
Masking frequency index 3
Mask scale size = 6.11815
Masking frequency index 4
Mask scale size = 6.1183
Masking frequency index 5
Mask scale size = 6.11845
Masking frequency index 6
Mask scale size = 6.1186
Masking frequency index 7
Mask scale size = 6.11876
Masking frequency index 8
Mask scale size = 6.11891
Masking frequency index 9
Mask scale size = 6.11906
Masking frequency index 10
Mask scale size = 6.11921
Masking frequency index 11
Mask scale size = 6.11937
Masking frequency index 12
Mask scale size = 6.11952
Masking frequency index 13
Mask scale size = 6.11967
Masking frequency index 14
Mask scale size = 6.11982
Masking frequency index 15
Mask scale size = 6.11997
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.241699
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.231934
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.0053 133.84
Freq 1: Shift, scale = -1.867 134.26
Freq 2: Shift, scale = -2.7416 134.63
Freq 3: Shift, scale = 2.6757 133.35
Freq 4: Shift, scale = 1.824 133.57
Freq 5: Shift, scale = 0.96452 135.34
Freq 6: Shift, scale = 0.098352 136.21
Freq 7: Shift, scale = -0.77577 136.81
Freq 8: Shift, scale = -1.6467 135.26
Freq 9: Shift, scale = -2.4981 134.81
Freq 10: Shift, scale = 2.9343 137.08
Freq 11: Shift, scale = 2.0691 139.31
Freq 12: Shift, scale = 1.1929 139.84
Freq 13: Shift, scale = 0.32359 139.2
Freq 14: Shift, scale = -0.53652 139
Freq 15: Shift, scale = -1.3939 139.42
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: -0.249 radians
x offset: 0.0378 arcsec
y offset: 0.0203 arcsec
defocus: 0.00613 mm
Estimated x pointing error is -6.362 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.52 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.896 mm (used 2.89 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.247 radians
x offset: 0.029 arcsec
y offset: 0.0289 arcsec
defocus: 0.00598 mm
Estimated x pointing error is -6.371 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.53 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.896 mm (used 2.89 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.256 radians
x offset: 0.0288 arcsec
y offset: -0.00237 arcsec
defocus: 0.00569 mm
Estimated x pointing error is -6.371 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.5 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.896 mm (used 2.89 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.259 radians
x offset: 0.0359 arcsec
y offset: -0.0219 arcsec
defocus: 0.00389 mm
Estimated x pointing error is -6.364 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.48 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.246 radians
x offset: 0.0194 arcsec
y offset: -0.00617 arcsec
defocus: 0.00458 mm
Estimated x pointing error is -6.381 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.49 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.895 mm (used 2.89 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.241 radians
x offset: 0.0144 arcsec
y offset: 0.0182 arcsec
defocus: 0.00594 mm
Estimated x pointing error is -6.386 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.52 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.896 mm (used 2.89 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.245 radians
x offset: -0.000362 arcsec
y offset: 0.0324 arcsec
defocus: 0.00531 mm
Estimated x pointing error is -6.4 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.53 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.895 mm (used 2.89 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.256 radians
x offset: 0.0013 arcsec
y offset: 0.00954 arcsec
defocus: 0.00433 mm
Estimated x pointing error is -6.399 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.51 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.263 radians
x offset: 0.00107 arcsec
y offset: -0.00952 arcsec
defocus: 0.00369 mm
Estimated x pointing error is -6.399 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.49 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.251 radians
x offset: -0.00707 arcsec
y offset: 0.000804 arcsec
defocus: 0.00368 mm
Estimated x pointing error is -6.407 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.5 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 10
Minimiser fit code = 2
piston: -0.239 radians
x offset: -0.0114 arcsec
y offset: 0.0291 arcsec
defocus: 0.00397 mm
Estimated x pointing error is -6.411 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.53 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.894 mm (used 2.89 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.242 radians
x offset: -0.0101 arcsec
y offset: 0.0254 arcsec
defocus: 0.00348 mm
Estimated x pointing error is -6.41 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.53 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.254 radians
x offset: -0.0254 arcsec
y offset: 0.000823 arcsec
defocus: 0.00274 mm
Estimated x pointing error is -6.425 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.5 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.893 mm (used 2.89 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.262 radians
x offset: -0.0268 arcsec
y offset: -0.0227 arcsec
defocus: 0.0007 mm
Estimated x pointing error is -6.427 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.48 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.891 mm (used 2.89 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.259 radians
x offset: -0.0364 arcsec
y offset: -0.0138 arcsec
defocus: 0.000656 mm
Estimated x pointing error is -6.436 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.49 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.891 mm (used 2.89 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.252 radians
x offset: -0.0499 arcsec
y offset: 0.00652 arcsec
defocus: 0.00246 mm
Estimated x pointing error is -6.45 arcsec (used -6.4 arcsec)
Estimated y pointing error is 18.51 arcsec (used 18.5 arcsec)
Estimated defocus error is 2.892 mm (used 2.89 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 -0.00183 piston
1 1 0.01783 tilt_x
1 -1 0.00300 tilt_y
2 2 -0.05993 astigmatism_0
2 0 -0.00066 curvature
2 -2 -0.01549 astigmatism45
3 3 0.02967 trefoil_0
3 1 0.04123 coma_x
3 -1 0.01985 coma_y
3 -3 0.00754 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 -0.00179 piston
1 1 0.01799 tilt_x
1 -1 0.00280 tilt_y
2 2 -0.05887 astigmatism_0
2 0 -0.00058 curvature
2 -2 -0.01425 astigmatism45
3 3 0.02923 trefoil_0
3 1 0.04226 coma_x
3 -1 0.01840 coma_y
3 -3 0.00771 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 -0.00178 piston
1 1 0.01818 tilt_x
1 -1 0.00243 tilt_y
2 2 -0.06144 astigmatism_0
2 0 -0.00047 curvature
2 -2 -0.01168 astigmatism45
3 3 0.03126 trefoil_0
3 1 0.04250 coma_x
3 -1 0.01704 coma_y
3 -3 0.01149 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 -0.00177 piston
1 1 0.01790 tilt_x
1 -1 0.00157 tilt_y
2 2 -0.06417 astigmatism_0
2 0 -0.00028 curvature
2 -2 -0.01103 astigmatism45
3 3 0.03359 trefoil_0
3 1 0.04116 coma_x
3 -1 0.01481 coma_y
3 -3 0.01429 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 -0.00171 piston
1 1 0.01698 tilt_x
1 -1 0.00179 tilt_y
2 2 -0.06286 astigmatism_0
2 0 -0.00019 curvature
2 -2 -0.01258 astigmatism45
3 3 0.03250 trefoil_0
3 1 0.03883 coma_x
3 -1 0.01654 coma_y
3 -3 0.01098 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 -0.00174 piston
1 1 0.01696 tilt_x
1 -1 0.00267 tilt_y
2 2 -0.05936 astigmatism_0
2 0 -0.00041 curvature
2 -2 -0.01437 astigmatism45
3 3 0.02853 trefoil_0
3 1 0.03987 coma_x
3 -1 0.01953 coma_y
3 -3 0.00403 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 -0.00175 piston
1 1 0.01647 tilt_x
1 -1 0.00252 tilt_y
2 2 -0.05817 astigmatism_0
2 0 -0.00040 curvature
2 -2 -0.01440 astigmatism45
3 3 0.02800 trefoil_0
3 1 0.03845 coma_x
3 -1 0.01834 coma_y
3 -3 0.00286 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 -0.00186 piston
1 1 0.01694 tilt_x
1 -1 0.00215 tilt_y
2 2 -0.06233 astigmatism_0
2 0 -0.00042 curvature
2 -2 -0.01218 astigmatism45
3 3 0.03161 trefoil_0
3 1 0.03885 coma_x
3 -1 0.01718 coma_y
3 -3 0.00750 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 -0.00182 piston
1 1 0.01729 tilt_x
1 -1 0.00191 tilt_y
2 2 -0.06550 astigmatism_0
2 0 -0.00026 curvature
2 -2 -0.00991 astigmatism45
3 3 0.03333 trefoil_0
3 1 0.03986 coma_x
3 -1 0.01762 coma_y
3 -3 0.00921 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 -0.00177 piston
1 1 0.01746 tilt_x
1 -1 0.00223 tilt_y
2 2 -0.06456 astigmatism_0
2 0 -0.00029 curvature
2 -2 -0.00994 astigmatism45
3 3 0.03111 trefoil_0
3 1 0.04118 coma_x
3 -1 0.01943 coma_y
3 -3 0.00647 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 -0.00175 piston
1 1 0.01752 tilt_x
1 -1 0.00275 tilt_y
2 2 -0.06084 astigmatism_0
2 0 -0.00040 curvature
2 -2 -0.01229 astigmatism45
3 3 0.02917 trefoil_0
3 1 0.04211 coma_x
3 -1 0.02063 coma_y
3 -3 0.00179 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 -0.00171 piston
1 1 0.01767 tilt_x
1 -1 0.00305 tilt_y
2 2 -0.05854 astigmatism_0
2 0 -0.00038 curvature
2 -2 -0.01180 astigmatism45
3 3 0.02969 trefoil_0
3 1 0.04277 coma_x
3 -1 0.02077 coma_y
3 -3 0.00053 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 -0.00174 piston
1 1 0.01707 tilt_x
1 -1 0.00199 tilt_y
2 2 -0.06153 astigmatism_0
2 0 -0.00015 curvature
2 -2 -0.01067 astigmatism45
3 3 0.03218 trefoil_0
3 1 0.04013 coma_x
3 -1 0.01644 coma_y
3 -3 0.00566 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 -0.00177 piston
1 1 0.01775 tilt_x
1 -1 0.00157 tilt_y
2 2 -0.06498 astigmatism_0
2 0 -0.00016 curvature
2 -2 -0.01004 astigmatism45
3 3 0.03362 trefoil_0
3 1 0.04161 coma_x
3 -1 0.01576 coma_y
3 -3 0.00927 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 -0.00177 piston
1 1 0.01810 tilt_x
1 -1 0.00193 tilt_y
2 2 -0.06304 astigmatism_0
2 0 -0.00034 curvature
2 -2 -0.01128 astigmatism45
3 3 0.03172 trefoil_0
3 1 0.04324 coma_x
3 -1 0.01757 coma_y
3 -3 0.00601 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 -0.00178 piston
1 1 0.01818 tilt_x
1 -1 0.00303 tilt_y
2 2 -0.06020 astigmatism_0
2 0 -0.00048 curvature
2 -2 -0.01286 astigmatism45
3 3 0.02988 trefoil_0
3 1 0.04424 coma_x
3 -1 0.02141 coma_y
3 -3 0.00150 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: 24.2 23.5 20.2 24.2 24.6 24.3 35.7 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.4 20.2 24.2 24.7 24.5 33.5 26.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.41 2.48 3.19 3.54 3.8 4.79 7.18 4.79
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 23 20.1 24 24.6 24.1 35.4 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 22.9 20.2 24 24.6 24.3 33.2 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.42 2.49 3.2 3.53 3.75 4.69 7.08 4.73
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 23 19.9 23.8 24.4 24.1 35.2 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 22.9 20 23.7 24.4 24.3 33 26.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.41 2.48 3.2 3.56 3.86 4.89 7.32 4.88
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 23.2 19.9 24.2 24.5 24.3 35.3 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 23.1 20 24.2 24.4 24.4 33.1 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.35 2.39 3.1 3.53 3.96 5.13 7.58 5.01
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 23.5 20 25.2 24.6 24.3 35.5 27.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 23.3 20.1 25.2 24.6 24.4 33.4 26.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.3 2.3 3 3.42 3.87 5.01 7.37 4.88
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 23.7 20.1 24.8 24.5 24.2 35.5 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 23.5 20.1 24.8 24.5 24.4 33.3 26.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.37 2.41 3.11 3.45 3.72 4.69 7.02 4.68
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 23.6 20.2 24.2 24.5 24 35.1 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 23.5 20.3 24.2 24.5 24.2 33 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.31 2.31 2.99 3.34 3.63 4.6 6.85 4.57
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 23.2 19.9 23.9 24.4 24 35 26.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.1 20 23.9 24.4 24.1 32.8 26.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.31 2.32 3.01 3.42 3.83 4.93 7.27 4.82
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.4 20 23.7 24.3 24 35.3 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.3 20.1 23.6 24.3 24.1 32.9 26.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.34 2.38 3.1 3.53 3.98 5.15 7.59 5.03
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.8 23.6 20.4 23.9 24.5 24.1 35.6 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.8 23.5 20.5 23.9 24.4 24.2 33.3 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.4 2.48 3.2 3.6 3.95 5.03 7.48 4.98
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25 23.5 20.3 24.4 24.3 24.1 35.5 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25 23.4 20.4 24.4 24.3 24.2 33.3 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.44 2.54 3.26 3.59 3.82 4.77 7.18 4.81
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.8 23.3 20.1 24.7 24.2 24 35.2 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.8 23.2 20.2 24.8 24.3 24.2 33 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.46 2.57 3.29 3.59 3.74 4.63 7.04 4.72
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.4 20.1 24.6 24.3 24.2 35.1 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.3 20.1 24.6 24.3 24.3 32.9 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.34 2.36 3.06 3.44 3.8 4.86 7.22 4.8
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.4 20 24 24.4 24.2 35.3 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.3 20 24 24.4 24.3 33 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.37 2.42 3.15 3.57 3.98 5.13 7.59 5.03
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.3 20.1 23.9 24.4 24.3 35.7 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 23.2 20.1 23.9 24.4 24.5 33.5 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.44 2.53 3.26 3.63 3.93 4.96 7.43 4.95
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.3 20.3 24 24.5 24.3 35.6 27.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.1 20.4 24 24.6 24.5 33.3 26.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.51 2.65 3.39 3.7 3.85 4.76 7.24 4.86
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 22.4 19.1 22.4 23.7 23.2 34.3 26.1
Mean deviation is 0.049232392759689998 microns
Taper = 10 dB, Ruze illumination-weighted rms = 25.4 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 = 22.6 micron
Centre pixel: 128.0 128.0 Value = 12977.7 (estimate), 15687.6 (perfect)
Strehl = 0.684354
Strehl ratio estimate = 0.6844
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 = 21.9 micron
Centre pixel: 128.0 128.0 Value = 11143.2 (estimate), 15687.6 (perfect)
Strehl = 0.504549
Strehl ratio estimate = 0.5045
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.07514 metres
panel scale = 3.00000 metres
mean frequency = 160.70600 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 -0.1 4.4 -0.6 4.5
2 1 2 8.0 -3.3 -7.1 11.2
3 1 3 14.6 2.9 8.5 17.2
4 1 4 11.0 15.5 -25.0 31.4
5 1 5 -16.6 3.7 24.1 29.5
6 1 6 1.5 2.7 -0.9 3.3
7 1 7 24.4 -2.4 10.8 26.8
8 1 8 -6.1 23.6 22.2 33.0
9 1 9 -69.2 -6.9 25.8 74.2
10 1 10 21.6 22.2 17.3 35.5
11 1 11 14.3 3.1 4.6 15.4
12 1 12 -2.7 8.5 1.6 9.1
13 2 1 18.1 1.2 -0.2 18.2
14 2 2 12.9 1.6 3.8 13.5
15 2 3 11.1 1.3 -3.0 11.5
16 2 4 7.2 1.9 11.6 13.8
17 2 5 -2.7 16.8 4.9 17.7
18 2 6 1.6 -1.4 -3.6 4.2
19 2 7 18.0 17.9 -11.1 27.7
20 2 8 -4.2 10.1 19.0 21.9
21 2 9 7.1 -0.6 -6.2 9.4
22 2 10 2.2 2.1 3.6 4.7
23 2 11 -1.2 0.6 5.2 5.4
24 2 12 3.7 2.7 -0.1 4.6
25 2 13 -0.9 -3.5 2.8 4.6
26 2 14 3.5 4.6 10.3 11.8
27 2 15 -0.2 8.4 5.2 9.9
28 2 16 4.8 9.1 2.9 10.7
29 2 17 24.8 -5.5 8.5 26.8
30 2 18 9.4 23.6 2.5 25.6
31 2 19 18.1 -3.5 32.3 37.2
32 2 20 15.4 6.9 -6.2 18.0
33 2 21 4.8 22.8 23.0 32.7
34 2 22 18.2 6.0 9.3 21.3
35 2 23 7.7 6.6 22.7 24.8
36 2 24 17.2 3.6 2.8 17.8
37 3 1 11.2 -2.2 1.7 11.5
38 3 2 4.7 1.0 5.7 7.4
39 3 3 0.4 -0.8 -3.2 3.3
40 3 4 -4.9 -3.8 -1.7 6.5
41 3 5 10.1 1.5 1.9 10.4
42 3 6 -4.7 -0.2 -0.5 4.7
43 3 7 -9.1 -1.5 -0.2 9.2
44 3 8 5.5 -2.5 -18.7 19.6
45 3 9 7.1 3.3 0.2 7.8
46 3 10 -1.9 -6.1 -1.2 6.6
47 3 11 4.8 -1.7 10.7 11.9
48 3 12 13.0 -18.6 12.1 25.7
49 3 13 4.6 -18.1 16.9 25.2
50 3 14 20.4 4.9 6.1 21.9
51 3 15 1.0 -2.0 -1.7 2.8
52 3 16 4.2 -4.0 7.1 9.2
53 3 17 -3.9 -0.5 4.7 6.2
54 3 18 7.8 -4.8 5.2 10.5
55 3 19 3.5 0.9 -2.9 4.6
56 3 20 10.1 -5.7 -9.8 15.2
57 3 21 -1.2 -7.7 -1.1 7.9
58 3 22 -1.5 -8.3 -1.1 8.5
59 3 23 -12.1 -9.1 -0.9 15.2
60 3 24 -3.6 -11.1 1.9 11.8
61 3 25 -1.6 -10.6 -3.5 11.3
62 3 26 -21.5 -11.3 -1.4 24.3
63 3 27 -2.4 -9.3 -6.0 11.3
64 3 28 9.3 -3.7 -12.2 15.8
65 3 29 27.7 -3.3 -20.5 34.7
66 3 30 13.0 -14.9 -10.9 22.5
67 3 31 14.7 8.4 12.5 21.0
68 3 32 8.4 9.6 19.0 22.9
69 3 33 4.7 3.0 -3.4 6.5
70 3 34 5.5 16.3 -15.2 22.9
71 3 35 1.1 18.3 11.6 21.7
72 3 36 1.7 -5.0 9.0 10.4
73 3 37 28.4 -8.8 7.3 30.7
74 3 38 -4.0 -3.7 -2.4 6.0
75 3 39 5.9 2.2 10.0 11.8
76 3 40 34.9 -1.5 1.0 34.9
77 3 41 -3.4 -12.8 -4.3 13.9
78 3 42 -11.1 6.1 3.7 13.2
79 3 43 5.6 1.3 -4.4 7.2
80 3 44 10.6 -2.4 -5.5 12.2
81 3 45 8.3 -5.7 0.5 10.1
82 3 46 9.5 1.1 1.3 9.7
83 3 47 10.5 2.7 2.4 11.1
84 3 48 11.3 2.7 9.7 15.1
85 4 1 -4.9 7.3 18.9 20.8
86 4 2 3.5 10.1 12.1 16.2
87 4 3 -0.3 3.3 5.9 6.8
88 4 4 -4.1 -6.2 13.2 15.2
89 4 5 -10.9 -6.8 -2.5 13.1
90 4 6 -5.6 -13.3 -14.2 20.3
91 4 7 2.7 -15.4 -23.6 28.3
92 4 8 -1.2 -10.5 -9.8 14.4
93 4 9 -9.5 -16.4 -14.5 23.9
94 4 10 -3.7 -6.6 -11.3 13.6
95 4 11 3.1 -10.5 8.8 14.1
96 4 12 0.9 -17.1 -1.2 17.1
97 4 13 0.8 -14.5 5.2 15.4
98 4 14 -5.5 -3.8 -1.4 6.8
99 4 15 -0.2 0.9 11.6 11.7
100 4 16 8.0 -0.7 -0.5 8.0
101 4 17 1.8 -2.7 2.9 4.4
102 4 18 -15.8 3.5 18.2 24.3
103 4 19 -2.6 -0.8 14.2 14.5
104 4 20 4.2 2.2 5.0 6.9
105 4 21 0.5 -4.0 -2.8 4.9
106 4 22 6.9 -2.0 -8.7 11.3
107 4 23 -0.7 -3.3 -2.3 4.1
108 4 24 -4.7 -6.0 0.5 7.6
109 4 25 -7.2 -4.5 47.4 48.2
110 4 26 -2.2 -4.9 -4.4 6.9
111 4 27 -8.3 -4.6 -5.7 11.0
112 4 28 4.7 -1.9 -5.3 7.4
113 4 29 2.2 3.8 -38.6 38.8
114 4 30 -9.2 -0.3 23.1 24.8
115 4 31 -14.7 -1.2 13.1 19.7
116 4 32 11.6 -0.3 -6.1 13.1
117 4 33 15.9 7.6 2.0 17.7
118 4 34 -5.3 -3.3 -1.0 6.4
119 4 35 -14.0 6.3 -26.3 30.5
120 4 36 19.6 -15.0 21.3 32.6
121 4 37 5.4 -27.5 4.6 28.4
122 4 38 15.5 -10.3 11.0 21.7
123 4 39 -0.1 1.6 -15.0 15.1
124 4 40 -12.6 -9.9 -8.7 18.3
125 4 41 6.4 -5.2 9.5 12.6
126 4 42 12.5 -12.6 -5.9 18.7
127 4 43 -3.7 -10.3 4.2 11.7
128 4 44 -16.0 -3.8 5.0 17.2
129 4 45 -4.8 -7.4 12.8 15.5
130 4 46 2.6 0.2 2.4 3.6
131 4 47 -4.8 5.2 12.2 14.1
132 4 48 -8.9 8.1 11.7 16.8
133 5 1 11.6 3.2 -8.9 15.0
134 5 2 22.2 3.2 -9.7 24.4
135 5 3 -15.0 0.6 -16.9 22.7
136 5 4 7.7 2.8 -10.1 12.9
137 5 5 -4.9 -1.2 16.9 17.6
138 5 6 -3.7 -5.8 1.8 7.1
139 5 7 -19.9 -8.8 -6.3 22.7
140 5 8 -19.0 -25.6 -1.7 32.0
141 5 9 -3.2 -20.3 -4.6 21.1
142 5 10 -4.8 -15.1 -6.3 17.1
143 5 11 8.9 -24.6 4.8 26.6
144 5 12 -5.6 -11.0 -2.2 12.5
145 5 13 -3.3 -8.4 -8.2 12.2
146 5 14 -3.8 -5.0 -5.3 8.2
147 5 15 1.4 -5.0 -7.2 8.9
148 5 16 -9.5 1.8 -2.6 10.0
149 5 17 1.3 6.2 -2.4 6.7
150 5 18 5.4 6.1 221.3 221.5
151 5 19 0.1 1.8 11.7 11.8
152 5 20 5.4 1.9 2.4 6.2
153 5 21 13.4 -1.0 -3.2 13.8
154 5 22 15.5 -0.9 -7.0 17.0
155 5 23 3.3 -6.0 -20.0 21.2
156 5 24 -4.8 -16.7 -21.3 27.5
157 5 25 1.0 -16.5 -20.2 26.2
158 5 26 7.0 -5.0 -7.5 11.4
159 5 27 13.0 -13.5 -5.3 19.5
160 5 28 12.1 0.6 -6.5 13.8
161 5 29 10.6 2.5 -2.1 11.1
162 5 30 3.6 8.4 13.1 15.9
163 5 31 3.2 7.8 8.7 12.1
164 5 32 11.3 6.8 7.1 15.0
165 5 33 -13.5 -2.6 -2.5 14.0
166 5 34 4.7 -4.2 -3.0 7.0
167 5 35 -9.3 7.0 -35.6 37.5
168 5 36 -8.3 -2.3 -23.1 24.7
169 5 37 -14.5 -28.7 1.7 32.2
170 5 38 10.7 -25.1 -5.6 27.9
171 5 39 -5.9 -9.4 -4.9 12.1
172 5 40 -10.0 -5.7 -8.5 14.3
173 5 41 -5.9 -13.9 -10.7 18.5
174 5 42 1.5 -0.5 5.3 5.6
175 5 43 9.7 1.3 27.8 29.5
176 5 44 3.7 7.5 28.3 29.5
177 5 45 10.7 7.3 9.8 16.3
178 5 46 18.0 12.6 -7.9 23.4
179 5 47 29.5 5.2 -1.4 29.9
180 5 48 11.2 0.9 4.8 12.2
181 6 1 5.8 -12.1 -11.9 17.9
182 6 2 8.0 -11.3 -6.1 15.1
183 6 3 4.2 -6.3 -17.3 18.9
184 6 4 -2.6 -10.6 -15.0 18.6
185 6 5 -7.9 -8.0 14.7 18.5
186 6 6 -2.3 3.6 5.1 6.7
187 6 7 -1.5 -0.3 14.6 14.7
188 6 8 -0.9 -8.1 17.7 19.5
189 6 9 -22.0 -3.1 1.6 22.3
190 6 10 -10.2 -1.3 -9.8 14.2
191 6 11 -11.3 -8.0 0.9 13.9
192 6 12 -1.9 -9.5 -2.4 10.0
193 6 13 -5.7 -13.1 2.3 14.5
194 6 14 -11.4 -9.8 -5.3 15.9
195 6 15 -0.8 -4.0 6.7 7.8
196 6 16 30.4 -10.4 6.7 32.8
197 6 17 2.1 -10.0 -1.9 10.4
198 6 18 3.5 -7.7 12.4 15.0
199 6 19 -15.0 -8.4 -19.5 26.0
200 6 20 2.7 -28.0 -35.5 45.3
201 6 21 -4.7 -23.3 16.2 28.8
202 6 22 -33.7 -19.8 17.4 42.8
203 6 23 -27.5 -13.6 17.9 35.5
204 6 24 -28.1 -2.4 21.5 35.4
205 6 25 -25.4 -6.0 31.6 41.0
206 6 26 -26.2 -6.3 27.5 38.5
207 6 27 -19.7 -9.3 23.5 32.1
208 6 28 -5.7 -13.5 1.1 14.7
209 6 29 11.8 -16.1 -11.8 23.2
210 6 30 9.7 1.2 44.8 45.9
211 6 31 18.1 -1.8 3.1 18.4
212 6 32 23.5 4.1 1.1 23.9
213 6 33 3.2 -0.9 -13.5 13.9
214 6 34 -13.6 -7.0 1.7 15.4
215 6 35 -13.7 3.0 -12.5 18.8
216 6 36 2.9 5.9 5.2 8.3
217 6 37 -8.9 -15.6 -22.9 29.0
218 6 38 -16.2 -18.1 -18.0 30.3
219 6 39 -2.7 -5.5 -36.1 36.6
220 6 40 -12.8 -19.6 -10.6 25.7
221 6 41 3.6 -11.6 17.9 21.6
222 6 42 10.0 8.7 12.7 18.3
223 6 43 24.5 11.7 -2.3 27.2
224 6 44 6.5 5.0 2.1 8.5
225 6 45 4.8 3.6 -14.1 15.3
226 6 46 23.2 -5.0 -5.2 24.3
227 6 47 7.8 -10.8 -2.8 13.7
228 6 48 -12.8 -8.7 -14.6 21.2
229 7 1 14.8 12.3 47.7 51.5
230 7 2 11.6 24.8 57.3 63.5
231 7 3 3.3 29.8 43.0 52.5
232 7 4 6.8 1.9 42.7 43.2
233 7 5 -20.2 7.9 67.2 70.6
234 7 6 11.6 19.9 40.7 46.8
235 7 7 17.8 22.6 77.3 82.4
236 7 8 28.9 19.3 -16.6 38.5
237 7 9 -3.6 13.9 22.4 26.6
238 7 10 2.0 -4.0 30.0 30.3
239 7 11 -7.2 4.0 19.2 20.9
240 7 12 -2.2 -3.3 26.8 27.1
241 7 13 2.9 9.1 27.2 28.8
242 7 14 2.3 3.6 21.5 21.9
243 7 15 8.0 2.2 22.7 24.2
244 7 16 5.4 -8.0 21.2 23.3
245 7 17 -18.6 -6.9 -3.6 20.1
246 7 18 -13.0 -29.5 -17.0 36.4
247 7 19 -32.0 -21.6 6.1 39.1
248 7 20 -20.2 7.1 3.4 21.6
249 7 21 6.3 0.2 15.7 16.9
250 7 22 -7.4 70.3 43.0 82.8
251 7 23 19.3 26.6 57.1 65.9
252 7 24 39.2 41.3 45.1 72.6
253 7 25 45.9 47.8 67.7 94.7
254 7 26 25.8 29.6 30.7 49.8
255 7 27 -5.1 29.7 50.8 59.1
256 7 28 28.9 7.0 278.7 280.3
257 7 29 -8.9 11.2 -11.1 18.1
258 7 30 -22.1 -8.7 -4.8 24.2
259 7 31 17.7 -26.0 -21.0 37.8
260 7 32 -1.3 -15.0 -11.0 18.6
261 7 33 1.0 -17.8 -21.8 28.2
262 7 34 -0.5 3.6 -20.5 20.8
263 7 35 -11.3 -14.6 -12.4 22.2
264 7 36 -0.2 -21.8 -9.4 23.7
265 7 37 -15.2 -28.7 -23.2 39.9
266 7 38 -14.0 -26.5 -24.0 38.4
267 7 39 -11.8 -30.9 -11.5 35.0
268 7 40 -12.7 -18.4 -15.2 27.0
269 7 41 14.5 -9.1 8.8 19.2
270 7 42 8.3 -2.6 17.4 19.4
271 7 43 -35.8 -10.0 -7.2 37.9
272 7 44 -12.0 -24.7 -12.4 30.1
273 7 45 -4.8 -14.9 13.5 20.7
274 7 46 -3.7 1.6 -12.4 13.0
275 7 47 3.2 6.4 28.1 29.0
276 7 48 14.2 182.5 7.0 183.2
Creating sector-motor-move file
sector motor steps
1 1 13
1 2 0
1 3 2
1 4 -4
1 5 -3
1 6 0
1 7 13
1 8 9
1 9 1
1 10 -5
1 11 -1
1 12 1
1 13 17
1 14 7
1 15 3
1 16 -1
1 17 -3
1 18 2
1 19 14
1 20 3
1 21 4
1 22 -3
1 23 -3
1 24 1
1 25 -3
1 26 0
1 27 2
1 28 4
1 29 -1
1 30 -1
1 31 -5
1 32 0
1 33 -4
1 34 1
1 35 1
1 36 0
1 37 -2
1 38 0
1 39 6
1 40 3
1 41 3
1 42 1
1 43 -2
1 44 0
1 45 3
1 46 5
1 47 2
1 48 -1
1 49 0
1 50 0
1 51 0
1 52 1
1 53 0
1 54 3
1 55 1
1 56 0
1 57 1
1 58 1
1 59 0
1 60 0
1 61 0
1 62 0
1 63 3
1 64 0
1 65 5
1 66 0
1 67 0
1 68 -1
1 69 -1
2 1 -5
2 2 5
2 3 8
2 4 5
2 5 -2
2 6 0
2 7 23
2 8 6
2 9 5
2 10 4
2 11 0
2 12 0
2 13 12
2 14 6
2 15 3
2 16 1
2 17 1
2 18 0
2 19 20
2 20 2
2 21 -6
2 22 4
2 23 -2
2 24 -2
2 25 0
2 26 -7
2 27 -5
2 28 -3
2 29 -3
2 30 0
2 31 -1
2 32 -2
2 33 -6
2 34 -7
2 35 -4
2 36 0
2 37 0
2 38 -1
2 39 -1
2 40 -4
2 41 -4
2 42 -1
2 43 5
2 44 0
2 45 -1
2 46 0
2 47 -2
2 48 -3
2 49 0
2 50 0
2 51 -2
2 52 3
2 53 0
2 54 2
2 55 0
2 56 0
2 57 -1
2 58 -1
2 59 2
2 60 -2
2 61 0
2 62 0
2 63 3
2 64 5
2 65 3
2 66 0
2 67 -5
2 68 0
2 69 1
3 1 8
3 2 -1
3 3 0
3 4 0
3 5 -2
3 6 0
3 7 5
3 8 1
3 9 -2
3 10 0
3 11 -2
3 12 -3
3 13 9
3 14 -1
3 15 0
3 16 -3
3 17 0
3 18 -3
3 19 6
3 20 4
3 21 -1
3 22 0
3 23 0
3 24 -6
3 25 0
3 26 -3
3 27 -1
3 28 0
3 29 -5
3 30 0
3 31 1
3 32 -7
3 33 2
3 34 2
3 35 -3
3 36 0
3 37 -1
3 38 -4
3 39 -1
3 40 -3
3 41 -2
3 42 -1
3 43 -1
3 44 -6
3 45 0
3 46 -4
3 47 -5
3 48 -2
3 49 3
3 50 0
3 51 1
3 52 -1
3 53 0
3 54 0
3 55 0
3 56 -1
3 57 0
3 58 0
3 59 4
3 60 2
3 61 0
3 62 1
3 63 2
3 64 5
3 65 0
3 66 1
3 67 3
3 68 -5
3 69 4
4 1 6
4 2 -2
4 3 1
4 4 2
4 5 -3
4 6 9
4 7 6
4 8 0
4 9 2
4 10 2
4 11 -1
4 12 0
4 13 6
4 14 1
4 15 0
4 16 -1
4 17 -3
4 18 -3
4 19 8
4 20 2
4 21 0
4 22 0
4 23 -4
4 24 -1
4 25 0
4 26 0
4 27 -2
4 28 0
4 29 0
4 30 2
4 31 -2
4 32 -1
4 33 0
4 34 3
4 35 0
4 36 0
4 37 -1
4 38 -1
4 39 -1
4 40 0
4 41 -1
4 42 -1
4 43 -2
4 44 -2
4 45 -1
4 46 1
4 47 -4
4 48 0
4 49 0
4 50 0
4 51 0
4 52 5
4 53 3
4 54 -1
4 55 1
4 56 1
4 57 6
4 58 4
4 59 3
4 60 -7
4 61 5
4 62 -5
4 63 1
4 64 0
4 65 5
4 66 -3
4 67 2
4 68 -1
4 69 1
5 1 1
5 2 2
5 3 -6
5 4 -10
5 5 -8
5 6 0
5 7 1
5 8 -6
5 9 -9
5 10 -5
5 11 -2
5 12 -4
5 13 -5
5 14 -9
5 15 -3
5 16 3
5 17 -2
5 18 1
5 19 -1
5 20 -2
5 21 -5
5 22 0
5 23 -3
5 24 0
5 25 0
5 26 0
5 27 1
5 28 1
5 29 0
5 30 1
5 31 3
5 32 0
5 33 0
5 34 4
5 35 0
5 36 0
5 37 67
5 38 1
5 39 1
5 40 5
5 41 1
5 42 -4
5 43 0
5 44 1
5 45 0
5 46 0
5 47 0
5 48 0
5 49 0
5 50 0
5 51 1
5 52 1
5 53 0
5 54 0
5 55 1
5 56 -1
5 57 2
5 58 1
5 59 -5
5 60 7
5 61 1
5 62 0
5 63 -1
5 64 0
5 65 2
5 66 -1
5 67 -3
5 68 -1
5 69 3
6 1 13
6 2 12
6 3 12
6 4 6
6 5 0
6 6 -8
6 7 17
6 8 8
6 9 5
6 10 5
6 11 -4
6 12 -8
6 13 13
6 14 21
6 15 -2
6 16 5
6 17 -6
6 18 -10
6 19 4
6 20 0
6 21 1
6 22 4
6 23 -7
6 24 -1
6 25 -6
6 26 -5
6 27 -1
6 28 0
6 29 -1
6 30 -1
6 31 -6
6 32 -1
6 33 1
6 34 0
6 35 -1
6 36 0
6 37 -2
6 38 0
6 39 4
6 40 -2
6 41 0
6 42 2
6 43 0
6 44 0
6 45 4
6 46 0
6 47 -1
6 48 0
6 49 0
6 50 -2
6 51 -3
6 52 0
6 53 0
6 54 1
6 55 0
6 56 -2
6 57 0
6 58 0
6 59 0
6 60 0
6 61 0
6 62 -2
6 63 0
6 64 -1
6 65 0
6 66 1
6 67 0
6 68 -3
6 69 -1
7 1 85
7 2 2
7 3 8
7 4 0
7 5 -4
7 6 -1
7 7 15
7 8 9
7 9 -1
7 10 7
7 11 -2
7 12 -6
7 13 9
7 14 9
7 15 7
7 16 8
7 17 -1
7 18 -8
7 19 20
7 20 14
7 21 14
7 22 9
7 23 -1
7 24 -7
7 25 -2
7 26 0
7 27 3
7 28 -1
7 29 0
7 30 1
7 31 -1
7 32 -4
7 33 3
7 34 -1
7 35 -1
7 36 -2
7 37 -2
7 38 -1
7 39 2
7 40 -1
7 41 -1
7 42 0
7 43 -6
7 44 -5
7 45 0
7 46 14
7 47 -1
7 48 -2
7 49 -1
7 50 -2
7 51 0
7 52 3
7 53 1
7 54 1
7 55 0
7 56 -3
7 57 -6
7 58 0
7 59 7
7 60 3
7 61 -1
7 62 -3
7 63 0
7 64 2
7 65 0
7 66 0
7 67 -3
7 68 -1
7 69 2
8 1 -3
8 2 -4
8 3 0
8 4 0
8 5 1
8 6 7
8 7 -6
8 8 -7
8 9 5
8 10 0
8 11 0
8 12 5
8 13 -1
8 14 -2
8 15 -6
8 16 13
8 17 0
8 18 2
8 19 -3
8 20 3
8 21 -2
8 22 -3
8 23 -4
8 24 3
8 25 2
8 26 2
8 27 3
8 28 -1
8 29 0
8 30 3
8 31 2
8 32 2
8 33 0
8 34 4
8 35 0
8 36 -4
8 37 4
8 38 2
8 39 1
8 40 7
8 41 0
8 42 -2
8 43 0
8 44 0
8 45 3
8 46 -11
8 47 1
8 48 0
8 49 3
8 50 2
8 51 4
8 52 0
8 53 2
8 54 1
8 55 -3
8 56 -4
8 57 3
8 58 7
8 59 -1
8 60 6
8 61 -6
8 62 -1
8 63 8
8 64 -1
8 65 0
8 66 1
8 67 5
8 68 2
8 69 2
9 1 -2
9 2 -6
9 3 0
9 4 1
9 5 1
9 6 0
9 7 -3
9 8 -4
9 9 -3
9 10 -3
9 11 0
9 12 -4
9 13 -6
9 14 1
9 15 0
9 16 0
9 17 -2
9 18 -4
9 19 -6
9 20 -5
9 21 0
9 22 -4
9 23 0
9 24 0
9 25 -7
9 26 0
9 27 -2
9 28 6
9 29 -4
9 30 6
9 31 -10
9 32 2
9 33 -2
9 34 -8
9 35 1
9 36 -4
9 37 0
9 38 -1
9 39 1
9 40 0
9 41 -1
9 42 -1
9 43 0
9 44 0
9 45 -4
9 46 0
9 47 2
9 48 4
9 49 3
9 50 5
9 51 0
9 52 0
9 53 7
9 54 2
9 55 -4
9 56 4
9 57 1
9 58 -2
9 59 -21
9 60 7
9 61 -1
9 62 0
9 63 1
9 64 -1
9 65 7
9 66 2
9 67 2
9 68 -1
9 69 0
10 1 -4
10 2 -5
10 3 -3
10 4 -3
10 5 -6
10 6 -3
10 7 -3
10 8 -9
10 9 -3
10 10 -11
10 11 -1
10 12 0
10 13 -7
10 14 -8
10 15 -4
10 16 -5
10 17 -5
10 18 -4
10 19 -7
10 20 -8
10 21 -4
10 22 -7
10 23 -4
10 24 -2
10 25 -2
10 26 -1
10 27 -3
10 28 -2
10 29 -3
10 30 -3
10 31 -1
10 32 -2
10 33 -1
10 34 -4
10 35 0
10 36 0
10 37 -1
10 38 -7
10 39 3
10 40 3
10 41 -3
10 42 4
10 43 0
10 44 -8
10 45 -4
10 46 1
10 47 -8
10 48 1
10 49 3
10 50 0
10 51 1
10 52 -1
10 53 2
10 54 4
10 55 0
10 56 -1
10 57 -1
10 58 6
10 59 6
10 60 5
10 61 2
10 62 -2
10 63 8
10 64 7
10 65 5
10 66 9
10 67 0
10 68 0
10 69 10
11 1 -3
11 2 -7
11 3 -3
11 4 0
11 5 1
11 6 1
11 7 -2
11 8 -3
11 9 -10
11 10 0
11 11 3
11 12 7
11 13 5
11 14 0
11 15 2
11 16 3
11 17 2
11 18 3
11 19 2
11 20 -2
11 21 4
11 22 5
11 23 -3
11 24 1
11 25 8
11 26 2
11 27 1
11 28 1
11 29 -1
11 30 -4
11 31 8
11 32 0
11 33 2
11 34 1
11 35 -3
11 36 -1
11 37 1
11 38 0
11 39 0
11 40 -1
11 41 -3
11 42 3
11 43 -3
11 44 -4
11 45 -1
11 46 2
11 47 -1
11 48 1
11 49 -1
11 50 0
11 51 1
11 52 2
11 53 1
11 54 5
11 55 1
11 56 1
11 57 -3
11 58 0
11 59 4
11 60 1
11 61 -1
11 62 -3
11 63 -1
11 64 2
11 65 1
11 66 7
11 67 -1
11 68 0
11 69 3
12 1 2
12 2 55
12 3 4
12 4 -4
12 5 -2
12 6 -3
12 7 8
12 8 1
12 9 0
12 10 0
12 11 -3
12 12 2
12 13 -3
12 14 0
12 15 -1
12 16 -1
12 17 -1
12 18 7
12 19 4
12 20 -4
12 21 -1
12 22 -4
12 23 1
12 24 1
12 25 1
12 26 0
12 27 3
12 28 3
12 29 2
12 30 -2
12 31 0
12 32 1
12 33 9
12 34 3
12 35 1
12 36 -1
12 37 -2
12 38 3
12 39 5
12 40 0
12 41 0
12 42 0
12 43 3
12 44 2
12 45 3
12 46 3
12 47 -2
12 48 -1
12 49 0
12 50 0
12 51 3
12 52 0
12 53 1
12 54 5
12 55 0
12 56 0
12 57 2
12 58 2
12 59 0
12 60 0
12 61 0
12 62 -1
12 63 2
12 64 0
12 65 2
12 66 6
12 67 2
12 68 0
12 69 3
Adjuster movements: rms = 20.1 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041118-110224
Creating HTML output file of plots
Plotting summary text