![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20041209-004350.fits
Reduced on 20041209-112528 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 | rxh3-20041209-004350.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -4.5 |
| data.pointing_offset_y | 15.8 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.83 |
| 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 | 0.033829999999999999 |
| 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: 20041209-112528
Reading data from rxh3-20041209-004350.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.6 max = 2422.1 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.830 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 -3.24463 3.27881 -0.00017
loimag -3.46436 3.19580 -0.00750
hireal -5.00000 4.99756 0.00675
hiimag -5.00000 4.99756 0.02688
xpos -2422.13992 2410.22396 -10.27752
ypos -2402.57966 2402.57747 -0.01340
plock160 0.48828 2.18506 1.37739
lorefpwr 1.47705 3.17871 2.65618
losigpwr -4.59717 0.06348 -4.45637
hirefpwr 1.50146 3.15918 2.66350
hisigpwr -4.51172 4.99756 -1.36705
encltemp 31.76270 33.00781 32.28268
flags 0.00000 256.00000 2.44471
phi-lock -1.55518 0.04150 -0.81882
sindex 0.00000 254.00000 126.60925
time 0.00000 5876.99148 2937.61132
zeropt -0.00732 -0.00244 -0.00483
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
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 = -0.23289 arcsec
Mean pointing range = 0.67932 arcsec
Mean pointing rms = 0.14489 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-4.5, 15.8 ) 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: 0 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 = 2422.14 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 = 3.09814 at (0.0, 0.0) arcsec
Real: mean = 4.46937e-05 sum of squares = 2107.99
Imag: mean = -0.000148064 sum of squares = 2316.39
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 = 3.09032 at (0.0, 0.0) arcsec
Real: mean = 0.000227027 sum of squares = 2254.03
Imag: mean = -0.000220889 sum of squares = 2244.65
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 = 3.11834 at (0.0, 0.0) arcsec
Real: mean = 0.000156212 sum of squares = 2393.28
Imag: mean = -0.000185198 sum of squares = 2182.41
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 = 3.18733 at (0.0, 0.0) arcsec
Real: mean = 0.000338968 sum of squares = 2283.43
Imag: mean = -0.000428808 sum of squares = 2367.15
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 = 3.25109 at (0.0, 0.0) arcsec
Real: mean = 0.000586122 sum of squares = 2259.11
Imag: mean = -0.000151806 sum of squares = 2460.61
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 = 3.28675 at (0.0, 0.0) arcsec
Real: mean = 0.000426974 sum of squares = 2468.44
Imag: mean = 8.90158e-05 sum of squares = 2317.58
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 = 3.29815 at (0.0, 0.0) arcsec
Real: mean = 0.000196582 sum of squares = 2498.2
Imag: mean = 5.30405e-06 sum of squares = 2352.62
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 = 3.27452 at (0.0, 0.0) arcsec
Real: mean = 0.000303241 sum of squares = 2355.32
Imag: mean = -5.9002e-05 sum of squares = 2558.18
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 = 3.24492 at (0.0, 0.0) arcsec
Real: mean = 1.97451e-05 sum of squares = 2441.46
Imag: mean = 1.1294e-05 sum of squares = 2531.86
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 = 3.26418 at (0.0, 0.0) arcsec
Real: mean = 0.000129673 sum of squares = 2630.39
Imag: mean = -0.000456223 sum of squares = 2398.66
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 = 3.30386 at (0.0, 0.0) arcsec
Real: mean = 0.000492649 sum of squares = 2549.83
Imag: mean = -0.00025865 sum of squares = 2530.26
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 = 3.34099 at (0.0, 0.0) arcsec
Real: mean = 0.000374192 sum of squares = 2433.32
Imag: mean = -0.000135363 sum of squares = 2690.43
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 = 3.36889 at (0.0, 0.0) arcsec
Real: mean = 0.000453421 sum of squares = 2616.2
Imag: mean = -0.000152138 sum of squares = 2546.39
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 = 3.37193 at (0.0, 0.0) arcsec
Real: mean = 0.000417649 sum of squares = 2710.93
Imag: mean = 9.49359e-05 sum of squares = 2491.04
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 = 3.36035 at (0.0, 0.0) arcsec
Real: mean = 9.97802e-05 sum of squares = 2553.44
Imag: mean = 9.0108e-05 sum of squares = 2688.75
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 = 3.33534 at (0.0, 0.0) arcsec
Real: mean = 5.99384e-05 sum of squares = 2543.77
Imag: mean = -0.000234707 sum of squares = 2736.28
Masking frequency index 0
Mask scale size = 6.11799
Masking frequency index 1
Mask scale size = 6.11814
Masking frequency index 2
Mask scale size = 6.11829
Masking frequency index 3
Mask scale size = 6.11845
Masking frequency index 4
Mask scale size = 6.1186
Masking frequency index 5
Mask scale size = 6.11875
Masking frequency index 6
Mask scale size = 6.1189
Masking frequency index 7
Mask scale size = 6.11905
Masking frequency index 8
Mask scale size = 6.11921
Masking frequency index 9
Mask scale size = 6.11936
Masking frequency index 10
Mask scale size = 6.11951
Masking frequency index 11
Mask scale size = 6.11966
Masking frequency index 12
Mask scale size = 6.11982
Masking frequency index 13
Mask scale size = 6.11997
Masking frequency index 14
Mask scale size = 6.12012
Masking frequency index 15
Mask scale size = 6.12027
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.197754
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: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.1479 136.08
Freq 1: Shift, scale = -2.0102 136.6
Freq 2: Shift, scale = -2.8733 137.59
Freq 3: Shift, scale = 2.5443 139.1
Freq 4: Shift, scale = 1.6813 140.52
Freq 5: Shift, scale = 0.81757 141.89
Freq 6: Shift, scale = -0.050043 142.63
Freq 7: Shift, scale = -0.91847 143.34
Freq 8: Shift, scale = -1.7823 143.86
Freq 9: Shift, scale = -2.6432 144.79
Freq 10: Shift, scale = 2.7759 145.74
Freq 11: Shift, scale = 1.9134 146.67
Freq 12: Shift, scale = 1.0472 148.11
Freq 13: Shift, scale = 0.17654 148.45
Freq 14: Shift, scale = -0.69004 148.72
Freq 15: Shift, scale = -1.5566 149.1
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: -0.387 radians
x offset: -0.108 arcsec
y offset: 0.0259 arcsec
defocus: 0.00181 mm
Estimated x pointing error is -4.608 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.83 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.832 mm (used 2.83 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.384 radians
x offset: -0.1 arcsec
y offset: 0.0304 arcsec
defocus: 0.00177 mm
Estimated x pointing error is -4.6 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.83 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.832 mm (used 2.83 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.383 radians
x offset: -0.0959 arcsec
y offset: 0.0361 arcsec
defocus: 0.00106 mm
Estimated x pointing error is -4.596 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.84 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.831 mm (used 2.83 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.384 radians
x offset: -0.085 arcsec
y offset: 0.0334 arcsec
defocus: 0.000348 mm
Estimated x pointing error is -4.585 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.83 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.83 mm (used 2.83 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.382 radians
x offset: -0.0733 arcsec
y offset: 0.0381 arcsec
defocus: -0.000323 mm
Estimated x pointing error is -4.573 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.84 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.83 mm (used 2.83 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.382 radians
x offset: -0.0692 arcsec
y offset: 0.0546 arcsec
defocus: -0.00106 mm
Estimated x pointing error is -4.569 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.85 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.829 mm (used 2.83 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.384 radians
x offset: -0.0653 arcsec
y offset: 0.0717 arcsec
defocus: -0.000688 mm
Estimated x pointing error is -4.565 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.87 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.829 mm (used 2.83 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.386 radians
x offset: -0.0573 arcsec
y offset: 0.0728 arcsec
defocus: 0.000188 mm
Estimated x pointing error is -4.557 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.87 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.83 mm (used 2.83 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.385 radians
x offset: -0.0466 arcsec
y offset: 0.0699 arcsec
defocus: -0.000387 mm
Estimated x pointing error is -4.547 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.87 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.83 mm (used 2.83 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.382 radians
x offset: -0.0299 arcsec
y offset: 0.0583 arcsec
defocus: -0.00125 mm
Estimated x pointing error is -4.53 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.86 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.829 mm (used 2.83 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.381 radians
x offset: -0.0111 arcsec
y offset: 0.0624 arcsec
defocus: -0.00163 mm
Estimated x pointing error is -4.511 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.86 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.828 mm (used 2.83 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.378 radians
x offset: -0.00776 arcsec
y offset: 0.0678 arcsec
defocus: -0.00113 mm
Estimated x pointing error is -4.508 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.87 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.829 mm (used 2.83 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.379 radians
x offset: -0.0122 arcsec
y offset: 0.0648 arcsec
defocus: -0.00102 mm
Estimated x pointing error is -4.512 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.86 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.829 mm (used 2.83 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.385 radians
x offset: -0.00157 arcsec
y offset: 0.0637 arcsec
defocus: -0.00236 mm
Estimated x pointing error is -4.502 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.86 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.828 mm (used 2.83 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.386 radians
x offset: 0.0123 arcsec
y offset: 0.0553 arcsec
defocus: -0.0026 mm
Estimated x pointing error is -4.488 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.86 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.827 mm (used 2.83 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.387 radians
x offset: 0.0166 arcsec
y offset: 0.0541 arcsec
defocus: -0.00257 mm
Estimated x pointing error is -4.483 arcsec (used -4.5 arcsec)
Estimated y pointing error is 15.85 arcsec (used 15.8 arcsec)
Estimated defocus error is 2.827 mm (used 2.83 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 -0.00581 piston
1 1 -0.00289 tilt_x
1 -1 0.00152 tilt_y
2 2 -0.21016 astigmatism_0
2 0 -0.00541 curvature
2 -2 0.01831 astigmatism45
3 3 -0.04003 trefoil_0
3 1 0.00227 coma_x
3 -1 0.04918 coma_y
3 -3 -0.06343 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 -0.00569 piston
1 1 -0.00280 tilt_x
1 -1 0.00150 tilt_y
2 2 -0.20909 astigmatism_0
2 0 -0.00529 curvature
2 -2 0.01851 astigmatism45
3 3 -0.04081 trefoil_0
3 1 0.00342 coma_x
3 -1 0.04946 coma_y
3 -3 -0.06578 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 -0.00564 piston
1 1 -0.00305 tilt_x
1 -1 0.00138 tilt_y
2 2 -0.20788 astigmatism_0
2 0 -0.00512 curvature
2 -2 0.01742 astigmatism45
3 3 -0.04319 trefoil_0
3 1 0.00362 coma_x
3 -1 0.04823 coma_y
3 -3 -0.06541 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 -0.00573 piston
1 1 -0.00342 tilt_x
1 -1 0.00165 tilt_y
2 2 -0.20826 astigmatism_0
2 0 -0.00512 curvature
2 -2 0.01730 astigmatism45
3 3 -0.04437 trefoil_0
3 1 0.00292 coma_x
3 -1 0.04858 coma_y
3 -3 -0.06609 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 -0.00567 piston
1 1 -0.00356 tilt_x
1 -1 0.00131 tilt_y
2 2 -0.20918 astigmatism_0
2 0 -0.00497 curvature
2 -2 0.01781 astigmatism45
3 3 -0.04396 trefoil_0
3 1 0.00265 coma_x
3 -1 0.04732 coma_y
3 -3 -0.06689 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 -0.00556 piston
1 1 -0.00370 tilt_x
1 -1 0.00129 tilt_y
2 2 -0.20851 astigmatism_0
2 0 -0.00484 curvature
2 -2 0.01796 astigmatism45
3 3 -0.04244 trefoil_0
3 1 0.00178 coma_x
3 -1 0.04776 coma_y
3 -3 -0.06737 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 -0.00548 piston
1 1 -0.00379 tilt_x
1 -1 0.00163 tilt_y
2 2 -0.20627 astigmatism_0
2 0 -0.00478 curvature
2 -2 0.01747 astigmatism45
3 3 -0.04288 trefoil_0
3 1 0.00182 coma_x
3 -1 0.04865 coma_y
3 -3 -0.06842 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 -0.00547 piston
1 1 -0.00315 tilt_x
1 -1 0.00198 tilt_y
2 2 -0.20565 astigmatism_0
2 0 -0.00477 curvature
2 -2 0.01804 astigmatism45
3 3 -0.04423 trefoil_0
3 1 0.00410 coma_x
3 -1 0.04946 coma_y
3 -3 -0.06852 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 -0.00548 piston
1 1 -0.00268 tilt_x
1 -1 0.00183 tilt_y
2 2 -0.20583 astigmatism_0
2 0 -0.00469 curvature
2 -2 0.01838 astigmatism45
3 3 -0.04470 trefoil_0
3 1 0.00543 coma_x
3 -1 0.04751 coma_y
3 -3 -0.06894 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 -0.00542 piston
1 1 -0.00222 tilt_x
1 -1 0.00210 tilt_y
2 2 -0.20707 astigmatism_0
2 0 -0.00459 curvature
2 -2 0.01920 astigmatism45
3 3 -0.04300 trefoil_0
3 1 0.00660 coma_x
3 -1 0.04747 coma_y
3 -3 -0.06807 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 -0.00532 piston
1 1 -0.00220 tilt_x
1 -1 0.00164 tilt_y
2 2 -0.20730 astigmatism_0
2 0 -0.00435 curvature
2 -2 0.01993 astigmatism45
3 3 -0.04146 trefoil_0
3 1 0.00678 coma_x
3 -1 0.04556 coma_y
3 -3 -0.06820 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 -0.00527 piston
1 1 -0.00234 tilt_x
1 -1 0.00160 tilt_y
2 2 -0.20558 astigmatism_0
2 0 -0.00427 curvature
2 -2 0.01883 astigmatism45
3 3 -0.04121 trefoil_0
3 1 0.00627 coma_x
3 -1 0.04486 coma_y
3 -3 -0.06880 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 -0.00531 piston
1 1 -0.00268 tilt_x
1 -1 0.00127 tilt_y
2 2 -0.20486 astigmatism_0
2 0 -0.00430 curvature
2 -2 0.01810 astigmatism45
3 3 -0.04255 trefoil_0
3 1 0.00553 coma_x
3 -1 0.04350 coma_y
3 -3 -0.06774 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 -0.00536 piston
1 1 -0.00231 tilt_x
1 -1 0.00112 tilt_y
2 2 -0.20504 astigmatism_0
2 0 -0.00446 curvature
2 -2 0.01802 astigmatism45
3 3 -0.04231 trefoil_0
3 1 0.00640 coma_x
3 -1 0.04284 coma_y
3 -3 -0.06710 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 -0.00552 piston
1 1 -0.00177 tilt_x
1 -1 0.00157 tilt_y
2 2 -0.20674 astigmatism_0
2 0 -0.00463 curvature
2 -2 0.01790 astigmatism45
3 3 -0.04180 trefoil_0
3 1 0.00787 coma_x
3 -1 0.04451 coma_y
3 -3 -0.06568 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 -0.00544 piston
1 1 -0.00193 tilt_x
1 -1 0.00187 tilt_y
2 2 -0.20758 astigmatism_0
2 0 -0.00451 curvature
2 -2 0.01888 astigmatism45
3 3 -0.03934 trefoil_0
3 1 0.00729 coma_x
3 -1 0.04651 coma_y
3 -3 -0.06759 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: 25.4 23.4 23 25.6 25.3 35.3 43.5 32.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.3 23.7 22.6 25.7 26 29.7 36.2 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.61 3.25 5.16 7.71 11.1 15.6 21.2 13.8
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 24 23.1 25.4 25.5 35.1 43.2 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 24.3 22.7 25.6 26.1 29.5 36 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.62 3.26 5.16 7.7 11.1 15.6 21.2 13.8
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24 23 25.7 25.4 34.9 43.3 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24.3 22.6 25.9 26 29.4 36 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.59 3.2 5.1 7.64 11 15.5 21.1 13.7
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 23.7 23 26 25.3 34.9 43.5 32.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24 22.6 26.2 25.8 29.4 36.3 29.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.6 3.21 5.12 7.66 11.1 15.5 21.2 13.8
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 23.9 22.9 26.8 25.2 35.1 43.6 33.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24.1 22.5 27 25.8 29.5 36.4 29.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.56 3.16 5.08 7.66 11.1 15.6 21.3 13.8
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24 23.1 26.2 25.1 35.3 43.6 33.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24.3 22.7 26.5 25.7 29.7 36.4 29.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.57 3.18 5.09 7.65 11.1 15.6 21.2 13.8
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 23.9 23.2 25.7 25.2 35.1 43.3 32.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24.2 22.8 25.9 25.7 29.5 36.2 29.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.59 3.2 5.09 7.61 11 15.4 21.1 13.7
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 23.8 23.1 25.4 25.4 34.8 43.2 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24.1 22.7 25.6 25.9 29.4 36 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.62 3.24 5.12 7.62 11 15.4 21 13.7
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 24 22.9 25.4 25.2 34.9 43.4 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.4 24.2 22.5 25.6 25.8 29.3 36.3 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.57 3.16 5.05 7.58 11 15.4 21.1 13.7
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24 22.9 25.4 25 35 43.4 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24.2 22.5 25.6 25.6 29.4 36.1 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.57 3.18 5.07 7.61 11 15.5 21.1 13.7
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 23.8 23 25.6 25.1 35.2 43.2 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 24 22.6 25.9 25.7 29.5 36 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.52 3.1 5 7.57 11 15.5 21.1 13.7
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 24.2 23 26.2 25.1 35 43.2 32.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 24.4 22.5 26.4 25.7 29.5 36.1 29.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.5 3.06 4.95 7.5 10.9 15.4 20.9 13.6
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 24.2 23.4 26 25.1 34.7 43.2 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 24.4 22.9 26.3 25.7 29.4 36.1 29.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.46 2.99 4.88 7.45 10.9 15.3 20.9 13.5
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 23.7 23 25.6 25 34.7 43.5 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.4 23.9 22.5 25.9 25.7 29.4 36.3 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.44 2.97 4.86 7.44 10.9 15.3 20.8 13.5
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.3 23.6 22.9 25.4 24.9 34.9 43.6 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.2 23.8 22.5 25.6 25.6 29.5 36.3 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.5 3.06 4.95 7.52 11 15.4 21 13.6
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 23.8 23.1 25.2 25 35.1 43.2 32.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.4 24 22.6 25.5 25.7 29.5 35.9 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.55 3.14 5.04 7.6 11 15.5 21.1 13.7
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 24.6 23 22.2 23.9 24.4 34.3 42.7 32
Mean deviation is 0.13020917122940817 microns
Taper = 10 dB, Ruze illumination-weighted rms = 30.9 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 = 27.0 micron
Centre pixel: 128.0 128.0 Value = 11969.2 (estimate), 15687.6 (perfect)
Strehl = 0.582127
Strehl ratio estimate = 0.5821
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 = 26.1 micron
Centre pixel: 128.0 128.0 Value = 9665.75 (estimate), 15687.6 (perfect)
Strehl = 0.379627
Strehl ratio estimate = 0.3796
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 25.6 17.5 18.5 36.2
2 1 2 39.1 1.5 19.7 43.8
3 1 3 16.4 16.2 12.4 26.2
4 1 4 13.9 2.0 10.2 17.3
5 1 5 28.4 21.2 32.2 47.8
6 1 6 30.9 29.6 11.8 44.4
7 1 7 43.8 10.1 16.0 47.7
8 1 8 39.5 14.1 14.8 44.4
9 1 9 -46.1 32.7 8.0 57.1
10 1 10 34.0 22.2 18.3 44.5
11 1 11 53.2 24.1 -3.0 58.5
12 1 12 38.1 18.5 12.4 44.1
13 2 1 11.7 9.8 10.5 18.5
14 2 2 9.0 19.7 4.9 22.2
15 2 3 9.8 8.9 13.1 18.6
16 2 4 9.2 6.8 -1.3 11.5
17 2 5 18.1 -9.2 -10.7 22.9
18 2 6 11.2 26.7 -8.3 30.1
19 2 7 10.2 -6.4 -15.0 19.2
20 2 8 14.9 9.8 12.5 21.8
21 2 9 24.3 -8.6 -8.0 27.0
22 2 10 14.5 15.1 10.8 23.5
23 2 11 27.2 -4.5 3.7 27.9
24 2 12 26.2 9.7 2.8 28.0
25 2 13 19.2 0.1 2.7 19.4
26 2 14 20.0 0.2 5.7 20.8
27 2 15 22.9 3.2 9.8 25.1
28 2 16 13.0 26.0 30.9 42.4
29 2 17 13.4 23.2 -2.2 26.9
30 2 18 21.3 -19.0 7.8 29.5
31 2 19 13.4 0.7 -6.3 14.8
32 2 20 7.1 -2.9 13.0 15.1
33 2 21 19.1 -7.9 -9.9 22.9
34 2 22 5.1 8.3 9.0 13.3
35 2 23 16.8 7.6 22.8 29.3
36 2 24 7.6 2.2 11.0 13.6
37 3 1 6.4 -4.1 1.4 7.8
38 3 2 9.3 6.2 10.6 15.5
39 3 3 8.0 4.1 13.2 16.0
40 3 4 0.5 -0.2 10.9 10.9
41 3 5 3.4 0.1 19.9 20.2
42 3 6 2.7 0.8 17.7 17.9
43 3 7 0.4 2.6 6.1 6.6
44 3 8 -2.1 -13.7 3.9 14.4
45 3 9 -22.6 -2.5 -8.0 24.1
46 3 10 -4.0 11.5 -13.8 18.4
47 3 11 -1.3 -14.3 -5.8 15.5
48 3 12 -11.4 -28.9 -9.6 32.5
49 3 13 -5.1 -11.9 -9.3 16.0
50 3 14 17.7 -13.3 -1.4 22.2
51 3 15 -9.6 -15.6 -11.5 21.6
52 3 16 5.7 -17.8 -19.8 27.2
53 3 17 0.3 -16.9 -21.1 27.0
54 3 18 -17.3 -12.4 -12.4 24.6
55 3 19 -14.4 -7.2 1.6 16.2
56 3 20 -7.6 0.3 -1.0 7.6
57 3 21 -13.0 1.8 32.3 34.8
58 3 22 -13.5 4.7 21.4 25.7
59 3 23 -5.7 4.3 21.8 22.9
60 3 24 -17.8 1.1 22.9 29.0
61 3 25 -13.0 0.7 16.5 21.1
62 3 26 -17.5 -6.1 11.3 21.7
63 3 27 -11.8 -0.8 12.8 17.4
64 3 28 -11.1 -7.1 14.0 19.2
65 3 29 -0.2 -3.7 -7.1 8.0
66 3 30 -2.6 -23.3 -12.3 26.5
67 3 31 13.6 -2.7 -7.9 15.9
68 3 32 35.7 12.4 -22.8 44.2
69 3 33 17.9 13.0 19.5 29.5
70 3 34 -10.1 -22.0 18.3 30.4
71 3 35 17.2 -18.7 18.1 31.2
72 3 36 8.7 7.3 -15.8 19.4
73 3 37 -20.4 -7.4 -13.4 25.5
74 3 38 2.0 -17.8 2.5 18.1
75 3 39 -3.4 18.5 -18.9 26.6
76 3 40 -22.9 -17.3 -19.7 34.8
77 3 41 -3.2 -13.3 3.1 14.0
78 3 42 -5.4 0.4 0.4 5.4
79 3 43 9.6 -1.0 6.3 11.5
80 3 44 0.0 -6.6 3.3 7.4
81 3 45 -0.6 -6.4 9.4 11.4
82 3 46 15.2 3.7 2.4 15.8
83 3 47 17.5 4.9 3.4 18.5
84 3 48 7.6 -0.2 6.9 10.3
85 4 1 2.8 -1.4 1.3 3.4
86 4 2 3.4 4.0 7.3 9.0
87 4 3 5.0 1.5 7.3 9.0
88 4 4 7.3 -2.5 9.4 12.2
89 4 5 10.7 1.4 8.9 14.0
90 4 6 1.9 4.9 8.6 10.0
91 4 7 6.1 4.5 2.2 8.0
92 4 8 3.1 -4.1 2.5 5.7
93 4 9 -9.5 -8.0 -2.8 12.8
94 4 10 -14.1 -0.7 -23.6 27.5
95 4 11 -17.4 -9.8 1.5 20.0
96 4 12 -19.8 -24.4 -20.2 37.4
97 4 13 -2.3 -18.7 -5.6 19.6
98 4 14 -16.9 -20.1 -13.7 29.6
99 4 15 -24.6 -15.8 -37.5 47.5
100 4 16 -19.4 -21.1 -14.5 32.2
101 4 17 -22.1 -19.3 8.4 30.6
102 4 18 -17.0 6.7 12.3 22.0
103 4 19 16.4 5.1 -19.0 25.6
104 4 20 27.0 -8.5 -21.6 35.6
105 4 21 -4.2 -9.4 -11.3 15.3
106 4 22 2.6 -12.1 -12.4 17.5
107 4 23 -7.9 -12.0 -14.9 20.7
108 4 24 -6.1 -22.4 -4.5 23.6
109 4 25 -5.6 -21.3 40.1 45.7
110 4 26 -5.0 -28.0 -17.9 33.6
111 4 27 -11.1 -26.1 -32.5 43.2
112 4 28 2.5 -19.3 -36.7 41.6
113 4 29 26.4 -18.5 -79.6 85.8
114 4 30 7.5 -3.7 -25.5 26.9
115 4 31 -10.7 -5.5 9.8 15.5
116 4 32 -13.3 -13.8 -0.2 19.2
117 4 33 12.4 -17.1 -2.2 21.2
118 4 34 26.5 8.9 5.1 28.4
119 4 35 -10.1 -13.3 7.1 18.1
120 4 36 -9.1 -7.2 6.8 13.4
121 4 37 -14.5 8.7 -4.4 17.5
122 4 38 -10.4 -4.1 -7.7 13.6
123 4 39 -21.4 3.7 -33.8 40.2
124 4 40 -25.8 1.1 -1.8 25.9
125 4 41 -7.2 -7.5 2.0 10.6
126 4 42 0.9 -2.6 -3.2 4.2
127 4 43 6.3 -3.3 -7.0 10.0
128 4 44 -4.2 -10.9 -3.4 12.2
129 4 45 -10.1 -13.0 3.5 16.8
130 4 46 -0.3 -1.4 8.4 8.5
131 4 47 2.3 1.8 0.6 3.0
132 4 48 4.7 -1.7 3.5 6.1
133 5 1 1.2 -6.9 -5.2 8.7
134 5 2 0.1 4.6 -0.4 4.6
135 5 3 7.0 -0.0 11.4 13.4
136 5 4 5.4 -2.3 12.2 13.5
137 5 5 -2.1 -0.4 3.4 4.0
138 5 6 8.1 -4.8 -5.8 11.1
139 5 7 10.4 -5.4 -12.5 17.1
140 5 8 5.2 -10.2 3.3 11.9
141 5 9 -8.1 -6.8 -9.4 14.2
142 5 10 -3.0 -20.2 -0.3 20.5
143 5 11 -11.4 -15.6 -15.9 25.0
144 5 12 -15.8 -30.1 -12.2 36.2
145 5 13 -14.4 -14.8 -20.8 29.3
146 5 14 -13.4 -32.8 -17.1 39.3
147 5 15 -21.6 -30.0 -20.1 42.1
148 5 16 -27.5 -8.6 -6.9 29.6
149 5 17 4.6 -17.5 -49.6 52.8
150 5 18 -14.1 -25.7 220.2 222.2
151 5 19 -21.5 -19.2 1.6 28.9
152 5 20 0.9 -9.0 -12.7 15.6
153 5 21 14.1 -11.1 -9.7 20.4
154 5 22 5.4 -5.5 -4.7 9.0
155 5 23 -14.3 -4.7 8.3 17.2
156 5 24 -20.1 -2.0 15.6 25.5
157 5 25 -21.0 -9.7 9.9 25.1
158 5 26 -10.1 -13.4 6.1 17.8
159 5 27 -6.8 -12.1 -11.4 18.0
160 5 28 -12.4 -23.6 -1.3 26.7
161 5 29 -45.6 -28.4 -14.9 55.7
162 5 30 -40.3 -32.8 -5.2 52.2
163 5 31 -15.4 -35.8 -31.3 50.0
164 5 32 7.8 -17.4 -52.9 56.2
165 5 33 -29.6 -10.1 -10.6 33.0
166 5 34 -3.9 13.8 -28.8 32.2
167 5 35 5.8 -39.1 21.2 44.9
168 5 36 0.9 10.1 4.8 11.2
169 5 37 3.7 0.6 17.1 17.5
170 5 38 -20.9 0.1 -21.7 30.1
171 5 39 -3.5 -28.9 13.9 32.3
172 5 40 20.6 -21.0 -4.3 29.7
173 5 41 -16.2 -22.0 -7.6 28.3
174 5 42 -4.7 -6.3 -3.4 8.6
175 5 43 0.3 -6.2 -6.6 9.1
176 5 44 -9.2 -2.6 -2.3 9.8
177 5 45 -0.6 -5.4 -3.4 6.4
178 5 46 4.8 -3.7 -0.7 6.1
179 5 47 -1.9 -1.9 -2.1 3.4
180 5 48 0.4 -8.3 3.9 9.2
181 6 1 25.3 24.7 40.2 53.5
182 6 2 23.4 22.9 32.9 46.4
183 6 3 18.6 22.1 32.9 43.8
184 6 4 12.5 7.4 30.7 34.0
185 6 5 -6.5 3.9 9.5 12.2
186 6 6 1.0 -10.0 -6.2 11.9
187 6 7 -2.1 -4.4 3.8 6.2
188 6 8 -6.9 -8.7 -7.0 13.2
189 6 9 0.2 -5.7 -1.2 5.8
190 6 10 1.9 -17.2 -3.7 17.7
191 6 11 -15.4 -15.1 -12.6 24.9
192 6 12 -21.0 -22.1 -19.1 35.9
193 6 13 -10.3 -20.2 -18.2 29.1
194 6 14 -38.3 -21.8 -35.8 56.8
195 6 15 6.3 -31.8 -6.7 33.1
196 6 16 28.2 -47.3 -23.6 60.0
197 6 17 -11.8 -36.5 -8.4 39.3
198 6 18 -14.2 -30.5 -2.3 33.7
199 6 19 -28.6 -22.3 1.5 36.3
200 6 20 -31.1 17.0 27.2 44.7
201 6 21 17.8 27.1 93.0 98.5
202 6 22 39.9 50.5 69.3 94.5
203 6 23 63.0 56.5 51.1 98.9
204 6 24 83.0 59.2 37.8 108.8
205 6 25 93.6 60.4 37.2 117.5
206 6 26 76.4 55.0 51.9 107.5
207 6 27 50.1 46.4 48.8 84.0
208 6 28 -16.5 35.7 89.1 97.4
209 6 29 -42.4 16.2 38.9 59.8
210 6 30 -20.7 -28.5 37.1 51.1
211 6 31 -22.6 -28.2 -33.1 49.0
212 6 32 -26.9 -43.4 -28.0 58.3
213 6 33 10.2 -57.2 -29.1 65.0
214 6 34 -19.6 -17.6 -25.0 36.3
215 6 35 -8.5 -1.0 -18.9 20.7
216 6 36 8.0 30.6 -2.4 31.7
217 6 37 -1.4 5.9 -13.8 15.1
218 6 38 -11.5 -8.4 -15.4 21.0
219 6 39 2.2 -5.4 -19.7 20.5
220 6 40 -30.8 -13.8 -6.0 34.2
221 6 41 -6.1 -13.5 -3.4 15.2
222 6 42 -9.2 -12.2 9.3 17.9
223 6 43 4.2 -7.2 -4.0 9.2
224 6 44 -13.6 4.1 13.3 19.5
225 6 45 0.6 7.2 26.5 27.5
226 6 46 19.0 17.8 22.5 34.4
227 6 47 23.1 22.5 39.0 50.6
228 6 48 11.2 26.6 40.1 49.4
229 7 1 27.2 33.7 31.1 53.3
230 7 2 48.7 25.1 25.4 60.3
231 7 3 35.9 20.1 -5.2 41.5
232 7 4 31.4 4.4 -6.7 32.4
233 7 5 8.9 8.2 4.4 12.8
234 7 6 11.3 0.6 4.2 12.1
235 7 7 -6.4 1.8 -1.3 6.8
236 7 8 -3.0 -9.0 -58.3 59.1
237 7 9 -16.0 -8.2 -5.9 18.9
238 7 10 -8.5 -16.3 -3.9 18.8
239 7 11 -17.7 -21.8 -25.8 38.2
240 7 12 -28.7 -28.7 -25.6 48.0
241 7 13 -18.0 -19.3 -23.2 35.1
242 7 14 -29.0 -33.7 -34.6 56.3
243 7 15 -16.2 -21.6 -43.0 50.8
244 7 16 -35.3 -31.5 -17.5 50.4
245 7 17 -38.0 -45.9 -34.9 69.1
246 7 18 -46.4 10.3 -10.5 48.7
247 7 19 37.2 20.1 33.3 53.8
248 7 20 68.7 25.0 14.3 74.5
249 7 21 23.3 38.4 81.7 93.2
250 7 22 53.9 102.8 69.2 135.2
251 7 23 59.7 54.3 44.0 91.9
252 7 24 67.5 41.1 33.9 86.0
253 7 25 68.7 44.2 15.8 83.3
254 7 26 53.4 27.5 28.7 66.6
255 7 27 33.8 30.2 21.2 50.0
256 7 28 10.9 32.9 288.8 290.9
257 7 29 77.4 -11.0 -27.0 82.7
258 7 30 56.9 13.9 6.9 59.0
259 7 31 -62.1 1.7 -23.7 66.5
260 7 32 -39.5 -39.1 -56.3 79.1
261 7 33 -52.0 -44.0 -48.7 83.7
262 7 34 -31.4 -36.2 -60.1 76.9
263 7 35 -18.1 -29.2 -24.3 42.1
264 7 36 -5.7 -5.4 -15.9 17.7
265 7 37 -15.4 -10.1 -25.4 31.4
266 7 38 -12.9 -21.0 -16.1 29.4
267 7 39 -19.0 -35.8 -16.9 43.9
268 7 40 -7.5 -14.8 -21.3 27.0
269 7 41 6.1 -20.5 2.0 21.5
270 7 42 -7.4 1.2 19.4 20.9
271 7 43 -24.5 7.3 9.0 27.1
272 7 44 10.8 22.5 25.7 35.8
273 7 45 39.7 14.3 45.8 62.3
274 7 46 35.3 38.8 39.2 65.5
275 7 47 46.7 33.6 40.5 70.4
276 7 48 47.3 226.5 46.7 236.0
Creating sector-motor-move file
sector motor steps
1 1 -2
1 2 1
1 3 9
1 4 9
1 5 2
1 6 3
1 7 -1
1 8 6
1 9 11
1 10 10
1 11 6
1 12 5
1 13 7
1 14 7
1 15 14
1 16 10
1 17 7
1 18 7
1 19 9
1 20 10
1 21 8
1 22 12
1 23 7
1 24 7
1 25 3
1 26 0
1 27 1
1 28 2
1 29 0
1 30 2
1 31 3
1 32 0
1 33 2
1 34 2
1 35 0
1 36 1
1 37 0
1 38 1
1 39 0
1 40 2
1 41 1
1 42 1
1 43 -1
1 44 -2
1 45 0
1 46 0
1 47 0
1 48 0
1 49 4
1 50 1
1 51 2
1 52 1
1 53 6
1 54 2
1 55 3
1 56 1
1 57 2
1 58 5
1 59 7
1 60 5
1 61 0
1 62 -1
1 63 1
1 64 2
1 65 3
1 66 3
1 67 3
1 68 0
1 69 0
2 1 -17
2 2 -2
2 3 0
2 4 -2
2 5 -2
2 6 -2
2 7 0
2 8 0
2 9 -1
2 10 1
2 11 -1
2 12 0
2 13 1
2 14 0
2 15 3
2 16 -1
2 17 -3
2 18 0
2 19 1
2 20 2
2 21 2
2 22 2
2 23 1
2 24 -1
2 25 0
2 26 -3
2 27 1
2 28 0
2 29 -1
2 30 0
2 31 -3
2 32 -1
2 33 3
2 34 0
2 35 1
2 36 1
2 37 -1
2 38 -1
2 39 2
2 40 2
2 41 1
2 42 0
2 43 1
2 44 0
2 45 0
2 46 2
2 47 0
2 48 3
2 49 1
2 50 0
2 51 0
2 52 0
2 53 2
2 54 2
2 55 5
2 56 0
2 57 0
2 58 0
2 59 11
2 60 6
2 61 6
2 62 0
2 63 1
2 64 -2
2 65 3
2 66 4
2 67 1
2 68 -4
2 69 0
3 1 -7
3 2 -8
3 3 -8
3 4 -5
3 5 -6
3 6 -6
3 7 -7
3 8 -6
3 9 -5
3 10 -3
3 11 -4
3 12 -4
3 13 -1
3 14 -4
3 15 -2
3 16 -1
3 17 -5
3 18 0
3 19 -1
3 20 -2
3 21 -4
3 22 0
3 23 -1
3 24 0
3 25 -3
3 26 -9
3 27 -4
3 28 -6
3 29 -7
3 30 -6
3 31 -4
3 32 -4
3 33 -3
3 34 0
3 35 -2
3 36 -5
3 37 0
3 38 -6
3 39 0
3 40 -7
3 41 0
3 42 -4
3 43 -2
3 44 -2
3 45 -2
3 46 0
3 47 -2
3 48 -2
3 49 -1
3 50 -4
3 51 0
3 52 -2
3 53 8
3 54 3
3 55 -4
3 56 3
3 57 -1
3 58 4
3 59 5
3 60 3
3 61 -2
3 62 0
3 63 -6
3 64 -1
3 65 5
3 66 -3
3 67 -2
3 68 -8
3 69 -3
4 1 -5
4 2 -9
4 3 -10
4 4 -7
4 5 -14
4 6 8
4 7 -13
4 8 -6
4 9 -4
4 10 -2
4 11 -9
4 12 1
4 13 -10
4 14 -10
4 15 -8
4 16 -10
4 17 -6
4 18 -11
4 19 -7
4 20 -5
4 21 -5
4 22 -5
4 23 -6
4 24 -3
4 25 -2
4 26 -2
4 27 -8
4 28 -4
4 29 -6
4 30 -5
4 31 -6
4 32 -9
4 33 -6
4 34 -11
4 35 -4
4 36 -7
4 37 -5
4 38 -10
4 39 -4
4 40 -4
4 41 -6
4 42 -5
4 43 -6
4 44 -4
4 45 -4
4 46 -1
4 47 -5
4 48 0
4 49 -3
4 50 -4
4 51 -2
4 52 3
4 53 2
4 54 4
4 55 0
4 56 -4
4 57 5
4 58 0
4 59 4
4 60 3
4 61 -2
4 62 -3
4 63 -1
4 64 -2
4 65 3
4 66 -4
4 67 -6
4 68 -5
4 69 1
5 1 4
5 2 7
5 3 21
5 4 8
5 5 5
5 6 -9
5 7 10
5 8 6
5 9 11
5 10 0
5 11 -6
5 12 -8
5 13 -3
5 14 3
5 15 -14
5 16 0
5 17 -9
5 18 -4
5 19 -10
5 20 -14
5 21 -11
5 22 -2
5 23 -11
5 24 -3
5 25 -3
5 26 -2
5 27 0
5 28 -6
5 29 -2
5 30 8
5 31 0
5 32 -5
5 33 -6
5 34 -5
5 35 1
5 36 5
5 37 67
5 38 -7
5 39 -4
5 40 3
5 41 2
5 42 -5
5 43 -15
5 44 -5
5 45 1
5 46 2
5 47 -5
5 48 -6
5 49 0
5 50 -2
5 51 -4
5 52 3
5 53 4
5 54 4
5 55 -3
5 56 -3
5 57 -5
5 58 6
5 59 8
5 60 9
5 61 -6
5 62 -5
5 63 0
5 64 -1
5 65 7
5 66 -2
5 67 0
5 68 0
5 69 -2
6 1 10
6 2 12
6 3 20
6 4 11
6 5 18
6 6 25
6 7 13
6 8 16
6 9 18
6 10 15
6 11 17
6 12 19
6 13 21
6 14 31
6 15 16
6 16 21
6 17 15
6 18 12
6 19 25
6 20 11
6 21 7
6 22 28
6 23 8
6 24 5
6 25 4
6 26 0
6 27 -6
6 28 -1
6 29 -6
6 30 -1
6 31 2
6 32 -1
6 33 -4
6 34 -4
6 35 -3
6 36 -2
6 37 -1
6 38 -1
6 39 1
6 40 -3
6 41 -3
6 42 0
6 43 -2
6 44 -3
6 45 4
6 46 -3
6 47 -2
6 48 -1
6 49 6
6 50 1
6 51 -1
6 52 0
6 53 2
6 54 8
6 55 6
6 56 1
6 57 -4
6 58 9
6 59 9
6 60 3
6 61 9
6 62 0
6 63 -3
6 64 0
6 65 8
6 66 1
6 67 7
6 68 0
6 69 -5
7 1 88
7 2 10
7 3 3
7 4 27
7 5 10
7 6 -5
7 7 6
7 8 9
7 9 10
7 10 14
7 11 14
7 12 15
7 13 8
7 14 8
7 15 16
7 16 15
7 17 16
7 18 23
7 19 4
7 20 13
7 21 21
7 22 11
7 23 18
7 24 28
7 25 0
7 26 -7
7 27 -3
7 28 -11
7 29 -5
7 30 0
7 31 -3
7 32 -3
7 33 -2
7 34 -9
7 35 -8
7 36 -3
7 37 1
7 38 -4
7 39 -3
7 40 -5
7 41 -8
7 42 -1
7 43 3
7 44 -2
7 45 -6
7 46 12
7 47 -6
7 48 -1
7 49 3
7 50 0
7 51 -3
7 52 1
7 53 0
7 54 6
7 55 3
7 56 -1
7 57 -5
7 58 3
7 59 13
7 60 4
7 61 5
7 62 0
7 63 -3
7 64 0
7 65 5
7 66 0
7 67 4
7 68 -2
7 69 -3
8 1 -17
8 2 -11
8 3 -12
8 4 -8
8 5 -13
8 6 -8
8 7 -7
8 8 0
8 9 -19
8 10 -10
8 11 -8
8 12 -6
8 13 2
8 14 4
8 15 17
8 16 11
8 17 -8
8 18 -6
8 19 -8
8 20 -3
8 21 23
8 22 11
8 23 4
8 24 -12
8 25 -16
8 26 -5
8 27 2
8 28 0
8 29 -4
8 30 -4
8 31 -9
8 32 -10
8 33 -4
8 34 2
8 35 -1
8 36 -3
8 37 -1
8 38 -10
8 39 -12
8 40 -7
8 41 -1
8 42 2
8 43 -4
8 44 -8
8 45 -13
8 46 -24
8 47 -5
8 48 8
8 49 -2
8 50 0
8 51 4
8 52 9
8 53 7
8 54 3
8 55 -3
8 56 -7
8 57 0
8 58 4
8 59 12
8 60 4
8 61 -2
8 62 -1
8 63 0
8 64 7
8 65 7
8 66 3
8 67 -7
8 68 3
8 69 10
9 1 -4
9 2 -1
9 3 -1
9 4 0
9 5 9
9 6 2
9 7 -7
9 8 -8
9 9 -5
9 10 -5
9 11 0
9 12 -2
9 13 -18
9 14 -11
9 15 -9
9 16 -7
9 17 -5
9 18 -6
9 19 -14
9 20 -13
9 21 -15
9 22 -8
9 23 -17
9 24 3
9 25 1
9 26 3
9 27 0
9 28 2
9 29 -2
9 30 -2
9 31 6
9 32 -12
9 33 1
9 34 2
9 35 -4
9 36 -3
9 37 -8
9 38 4
9 39 -1
9 40 1
9 41 2
9 42 8
9 43 -3
9 44 -3
9 45 -9
9 46 0
9 47 -5
9 48 3
9 49 5
9 50 -5
9 51 5
9 52 2
9 53 -5
9 54 6
9 55 5
9 56 -6
9 57 -3
9 58 10
9 59 -14
9 60 2
9 61 5
9 62 3
9 63 5
9 64 0
9 65 4
9 66 0
9 67 -4
9 68 2
9 69 2
10 1 -6
10 2 -4
10 3 -2
10 4 -1
10 5 -4
10 6 -9
10 7 -5
10 8 -10
10 9 -5
10 10 -6
10 11 -1
10 12 0
10 13 -4
10 14 -6
10 15 -3
10 16 -4
10 17 -2
10 18 -3
10 19 -7
10 20 -3
10 21 -4
10 22 -4
10 23 1
10 24 0
10 25 -1
10 26 -6
10 27 6
10 28 0
10 29 0
10 30 -7
10 31 4
10 32 -8
10 33 -1
10 34 -10
10 35 1
10 36 -6
10 37 -6
10 38 0
10 39 -6
10 40 -2
10 41 -1
10 42 -3
10 43 5
10 44 0
10 45 1
10 46 -1
10 47 2
10 48 -4
10 49 -5
10 50 5
10 51 -1
10 52 3
10 53 0
10 54 2
10 55 0
10 56 -5
10 57 0
10 58 6
10 59 10
10 60 5
10 61 -4
10 62 -2
10 63 -6
10 64 -2
10 65 4
10 66 -1
10 67 -6
10 68 -5
10 69 -7
11 1 7
11 2 6
11 3 3
11 4 4
11 5 1
11 6 -4
11 7 2
11 8 2
11 9 -7
11 10 -1
11 11 -2
11 12 1
11 13 5
11 14 0
11 15 -2
11 16 2
11 17 -3
11 18 -2
11 19 0
11 20 -6
11 21 1
11 22 -1
11 23 -4
11 24 -1
11 25 0
11 26 0
11 27 -2
11 28 -1
11 29 -3
11 30 -1
11 31 -2
11 32 -1
11 33 0
11 34 -2
11 35 0
11 36 1
11 37 -1
11 38 -1
11 39 -1
11 40 0
11 41 0
11 42 0
11 43 -2
11 44 -6
11 45 -4
11 46 0
11 47 -2
11 48 -2
11 49 1
11 50 0
11 51 2
11 52 2
11 53 2
11 54 1
11 55 0
11 56 0
11 57 -1
11 58 7
11 59 16
11 60 0
11 61 0
11 62 -4
11 63 0
11 64 2
11 65 5
11 66 -3
11 67 1
11 68 -2
11 69 0
12 1 14
12 2 69
12 3 14
12 4 12
12 5 8
12 6 3
12 7 12
12 8 10
12 9 14
12 10 11
12 11 6
12 12 7
12 13 12
12 14 11
12 15 10
12 16 6
12 17 5
12 18 5
12 19 14
12 20 4
12 21 12
12 22 8
12 23 2
12 24 0
12 25 1
12 26 -2
12 27 0
12 28 1
12 29 0
12 30 1
12 31 0
12 32 0
12 33 0
12 34 0
12 35 0
12 36 0
12 37 0
12 38 -1
12 39 1
12 40 2
12 41 0
12 42 0
12 43 -1
12 44 -1
12 45 0
12 46 1
12 47 -3
12 48 -3
12 49 1
12 50 1
12 51 5
12 52 3
12 53 0
12 54 2
12 55 0
12 56 1
12 57 4
12 58 5
12 59 11
12 60 3
12 61 2
12 62 -1
12 63 0
12 64 3
12 65 5
12 66 7
12 67 2
12 68 0
12 69 2
Adjuster movements: rms = 27.1 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041209-115035
Creating HTML output file of plots
Plotting summary text