![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20040808-234534.fits
Reduced on 20040809-145105 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 | rxh3-20040808-234534.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -4.2 |
| data.pointing_offset_y | 8.1 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.96 |
| 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 | 0.033960000000000004 |
| 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: 20040809-145105
Reading data from rxh3-20040808-234534.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 = 2402.2 max = 2421.9 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.960 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 -2.89551 3.02979 -0.00221
loimag -3.16406 3.12988 -0.00724
hireal -5.00000 4.99756 0.00009
hiimag -5.00000 4.99756 0.01486
xpos -2421.90478 2409.70745 -13.89553
ypos -2402.63172 2402.16177 0.00212
plock160 0.94971 2.36084 1.72223
lorefpwr 1.36719 2.95410 2.48000
losigpwr -4.58496 -0.41260 -4.47042
hirefpwr 1.44287 2.93213 2.49625
hisigpwr -4.50195 4.99756 -1.46573
encltemp 31.39648 32.88574 31.98693
flags 0.00000 256.00000 2.44471
phi-lock -1.20605 0.13916 -0.56106
sindex 0.00000 254.00000 126.60925
time 0.00000 5877.00859 2937.62220
zeropt -0.00732 -0.00244 -0.00413
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
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 = 20.00302 arcsec
Mean row spacing = 20.00304 arcsec (alternate estimator)
Mean tracking incline = -0.07838 arcsec
Mean pointing range = 0.51455 arcsec
Mean pointing rms = 0.09626 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-4.2, 8.1 ) 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: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90360 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90360 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 = 2421.9 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 = 2.84351 at (0.0, 0.0) arcsec
Real: mean = 0.000122857 sum of squares = 2053.3
Imag: mean = 7.70182e-05 sum of squares = 2023.01
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 = 2.88158 at (0.0, 0.0) arcsec
Real: mean = 0.000195636 sum of squares = 1970.11
Imag: mean = -0.000130724 sum of squares = 2121.23
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 = 2.9226 at (0.0, 0.0) arcsec
Real: mean = 0.000301357 sum of squares = 2059.17
Imag: mean = -0.000102586 sum of squares = 2051.56
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 = 2.94014 at (0.0, 0.0) arcsec
Real: mean = 0.000394257 sum of squares = 2141.52
Imag: mean = -0.000138319 sum of squares = 1997.66
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 = 2.94799 at (0.0, 0.0) arcsec
Real: mean = 0.000465341 sum of squares = 2052.7
Imag: mean = 3.46205e-05 sum of squares = 2119.68
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 = 2.90587 at (0.0, 0.0) arcsec
Real: mean = 0.000393106 sum of squares = 2038.51
Imag: mean = 7.95066e-05 sum of squares = 2167.53
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 = 2.8692 at (0.0, 0.0) arcsec
Real: mean = 0.000313411 sum of squares = 2168.02
Imag: mean = 0.000159255 sum of squares = 2074.9
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 = 2.90664 at (0.0, 0.0) arcsec
Real: mean = 0.000181753 sum of squares = 2189.22
Imag: mean = 7.62623e-05 sum of squares = 2089.22
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 = 2.95002 at (0.0, 0.0) arcsec
Real: mean = 0.000202288 sum of squares = 2088.12
Imag: mean = -5.87391e-05 sum of squares = 2227.51
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 = 2.98378 at (0.0, 0.0) arcsec
Real: mean = 0.000261505 sum of squares = 2149
Imag: mean = -0.000100906 sum of squares = 2211.13
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 = 3.01652 at (0.0, 0.0) arcsec
Real: mean = 0.000366893 sum of squares = 2278.06
Imag: mean = -0.00017186 sum of squares = 2126.24
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 = 3.00363 at (0.0, 0.0) arcsec
Real: mean = 0.000536794 sum of squares = 2225.12
Imag: mean = -1.94847e-05 sum of squares = 2224.33
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 = 2.9779 at (0.0, 0.0) arcsec
Real: mean = 0.00043556 sum of squares = 2169.36
Imag: mean = 0.000118776 sum of squares = 2329.26
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 = 2.97599 at (0.0, 0.0) arcsec
Real: mean = 0.000393924 sum of squares = 2291.93
Imag: mean = 0.000182602 sum of squares = 2262.88
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 = 2.99552 at (0.0, 0.0) arcsec
Real: mean = 0.000190778 sum of squares = 2383.71
Imag: mean = 0.000182574 sum of squares = 2231.83
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 = 3.03702 at (0.0, 0.0) arcsec
Real: mean = 0.000171219 sum of squares = 2290.28
Imag: mean = 3.10753e-06 sum of squares = 2386.62
Masking frequency index 0
Mask scale size = 6.11693
Masking frequency index 1
Mask scale size = 6.11708
Masking frequency index 2
Mask scale size = 6.11723
Masking frequency index 3
Mask scale size = 6.11739
Masking frequency index 4
Mask scale size = 6.11754
Masking frequency index 5
Mask scale size = 6.11769
Masking frequency index 6
Mask scale size = 6.11784
Masking frequency index 7
Mask scale size = 6.118
Masking frequency index 8
Mask scale size = 6.11815
Masking frequency index 9
Mask scale size = 6.1183
Masking frequency index 10
Mask scale size = 6.11845
Masking frequency index 11
Mask scale size = 6.1186
Masking frequency index 12
Mask scale size = 6.11876
Masking frequency index 13
Mask scale size = 6.11891
Masking frequency index 14
Mask scale size = 6.11906
Masking frequency index 15
Mask scale size = 6.11921
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.251465
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.239258
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 2.8706 125.57
Freq 1: Shift, scale = 2.0124 125.37
Freq 2: Shift, scale = 1.1559 125.96
Freq 3: Shift, scale = 0.29564 126.99
Freq 4: Shift, scale = -0.57253 128.1
Freq 5: Shift, scale = -1.4483 127.91
Freq 6: Shift, scale = -2.3094 126.93
Freq 7: Shift, scale = 3.1251 127.41
Freq 8: Shift, scale = 2.2675 129.56
Freq 9: Shift, scale = 1.3969 130.9
Freq 10: Shift, scale = 0.52484 131.03
Freq 11: Shift, scale = -0.34143 131.34
Freq 12: Shift, scale = -1.2037 131.19
Freq 13: Shift, scale = -2.0605 132.15
Freq 14: Shift, scale = -2.9256 133.48
Freq 15: Shift, scale = 2.4878 134.12
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 3
piston: -0.22 radians
x offset: 0.0192 arcsec
y offset: 0.0371 arcsec
defocus: 0.00651 mm
Estimated x pointing error is -4.181 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.137 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.967 mm (used 2.96 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.215 radians
x offset: 0.021 arcsec
y offset: 0.023 arcsec
defocus: 0.00608 mm
Estimated x pointing error is -4.179 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.123 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.966 mm (used 2.96 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.207 radians
x offset: 0.0176 arcsec
y offset: 0.0344 arcsec
defocus: 0.00625 mm
Estimated x pointing error is -4.182 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.134 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.966 mm (used 2.96 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.205 radians
x offset: 0.00323 arcsec
y offset: 0.0506 arcsec
defocus: 0.00565 mm
Estimated x pointing error is -4.197 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.151 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.966 mm (used 2.96 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.209 radians
x offset: -0.00559 arcsec
y offset: 0.064 arcsec
defocus: 0.0065 mm
Estimated x pointing error is -4.206 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.164 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.967 mm (used 2.96 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.221 radians
x offset: -0.00274 arcsec
y offset: 0.0536 arcsec
defocus: 0.00654 mm
Estimated x pointing error is -4.203 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.154 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.967 mm (used 2.96 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.219 radians
x offset: -0.0108 arcsec
y offset: 0.0358 arcsec
defocus: 0.00465 mm
Estimated x pointing error is -4.211 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.136 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.965 mm (used 2.96 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.205 radians
x offset: -0.0133 arcsec
y offset: 0.0326 arcsec
defocus: 0.00439 mm
Estimated x pointing error is -4.213 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.133 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.964 mm (used 2.96 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.201 radians
x offset: -0.0186 arcsec
y offset: 0.0499 arcsec
defocus: 0.00367 mm
Estimated x pointing error is -4.219 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.15 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.964 mm (used 2.96 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.208 radians
x offset: -0.0319 arcsec
y offset: 0.0471 arcsec
defocus: 0.00397 mm
Estimated x pointing error is -4.232 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.147 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.964 mm (used 2.96 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.217 radians
x offset: -0.0328 arcsec
y offset: 0.0386 arcsec
defocus: 0.00316 mm
Estimated x pointing error is -4.233 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.139 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.963 mm (used 2.96 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.221 radians
x offset: -0.0332 arcsec
y offset: 0.014 arcsec
defocus: 0.000993 mm
Estimated x pointing error is -4.233 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.114 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.219 radians
x offset: -0.0427 arcsec
y offset: -0.00108 arcsec
defocus: 0.00102 mm
Estimated x pointing error is -4.243 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.099 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.211 radians
x offset: -0.0549 arcsec
y offset: 0.000919 arcsec
defocus: 0.00157 mm
Estimated x pointing error is -4.255 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.101 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.962 mm (used 2.96 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.212 radians
x offset: -0.0673 arcsec
y offset: 0.00144 arcsec
defocus: 0.0014 mm
Estimated x pointing error is -4.267 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.101 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.961 mm (used 2.96 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.216 radians
x offset: -0.0703 arcsec
y offset: -0.0227 arcsec
defocus: 0.000292 mm
Estimated x pointing error is -4.27 arcsec (used -4.2 arcsec)
Estimated y pointing error is 8.077 arcsec (used 8.1 arcsec)
Estimated defocus error is 2.96 mm (used 2.96 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 -0.00165 piston
1 1 -0.00722 tilt_x
1 -1 -0.02105 tilt_y
2 2 -0.06379 astigmatism_0
2 0 -0.00093 curvature
2 -2 -0.00676 astigmatism45
3 3 0.02045 trefoil_0
3 1 -0.02999 coma_x
3 -1 -0.06810 coma_y
3 -3 0.01640 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 -0.00158 piston
1 1 -0.00785 tilt_x
1 -1 -0.02179 tilt_y
2 2 -0.06561 astigmatism_0
2 0 -0.00070 curvature
2 -2 -0.00569 astigmatism45
3 3 0.02147 trefoil_0
3 1 -0.03192 coma_x
3 -1 -0.06991 coma_y
3 -3 0.01780 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 -0.00152 piston
1 1 -0.00809 tilt_x
1 -1 -0.02200 tilt_y
2 2 -0.06466 astigmatism_0
2 0 -0.00046 curvature
2 -2 -0.00764 astigmatism45
3 3 0.02012 trefoil_0
3 1 -0.03249 coma_x
3 -1 -0.07023 coma_y
3 -3 0.01601 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 -0.00145 piston
1 1 -0.00840 tilt_x
1 -1 -0.02198 tilt_y
2 2 -0.06341 astigmatism_0
2 0 -0.00041 curvature
2 -2 -0.00861 astigmatism45
3 3 0.01888 trefoil_0
3 1 -0.03315 coma_x
3 -1 -0.06994 coma_y
3 -3 0.01377 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 -0.00144 piston
1 1 -0.00805 tilt_x
1 -1 -0.02110 tilt_y
2 2 -0.06127 astigmatism_0
2 0 -0.00053 curvature
2 -2 -0.00852 astigmatism45
3 3 0.01894 trefoil_0
3 1 -0.03200 coma_x
3 -1 -0.06722 coma_y
3 -3 0.01134 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 -0.00156 piston
1 1 -0.00723 tilt_x
1 -1 -0.02048 tilt_y
2 2 -0.06278 astigmatism_0
2 0 -0.00071 curvature
2 -2 -0.00718 astigmatism45
3 3 0.02053 trefoil_0
3 1 -0.03014 coma_x
3 -1 -0.06577 coma_y
3 -3 0.01187 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 -0.00161 piston
1 1 -0.00713 tilt_x
1 -1 -0.02094 tilt_y
2 2 -0.06666 astigmatism_0
2 0 -0.00073 curvature
2 -2 -0.00609 astigmatism45
3 3 0.02335 trefoil_0
3 1 -0.03047 coma_x
3 -1 -0.06678 coma_y
3 -3 0.01492 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 -0.00151 piston
1 1 -0.00688 tilt_x
1 -1 -0.02137 tilt_y
2 2 -0.06603 astigmatism_0
2 0 -0.00056 curvature
2 -2 -0.00627 astigmatism45
3 3 0.02158 trefoil_0
3 1 -0.02889 coma_x
3 -1 -0.06784 coma_y
3 -3 0.01336 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 -0.00147 piston
1 1 -0.00665 tilt_x
1 -1 -0.02150 tilt_y
2 2 -0.06196 astigmatism_0
2 0 -0.00053 curvature
2 -2 -0.00765 astigmatism45
3 3 0.01853 trefoil_0
3 1 -0.02756 coma_x
3 -1 -0.06907 coma_y
3 -3 0.01094 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 -0.00153 piston
1 1 -0.00691 tilt_x
1 -1 -0.02099 tilt_y
2 2 -0.06131 astigmatism_0
2 0 -0.00068 curvature
2 -2 -0.00707 astigmatism45
3 3 0.02128 trefoil_0
3 1 -0.02882 coma_x
3 -1 -0.06762 coma_y
3 -3 0.01041 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 -0.00155 piston
1 1 -0.00687 tilt_x
1 -1 -0.02143 tilt_y
2 2 -0.06303 astigmatism_0
2 0 -0.00055 curvature
2 -2 -0.00616 astigmatism45
3 3 0.02282 trefoil_0
3 1 -0.02885 coma_x
3 -1 -0.06961 coma_y
3 -3 0.01156 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 -0.00154 piston
1 1 -0.00623 tilt_x
1 -1 -0.02161 tilt_y
2 2 -0.06485 astigmatism_0
2 0 -0.00051 curvature
2 -2 -0.00562 astigmatism45
3 3 0.02282 trefoil_0
3 1 -0.02710 coma_x
3 -1 -0.06991 coma_y
3 -3 0.01385 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 -0.00151 piston
1 1 -0.00630 tilt_x
1 -1 -0.02154 tilt_y
2 2 -0.06571 astigmatism_0
2 0 -0.00044 curvature
2 -2 -0.00562 astigmatism45
3 3 0.02285 trefoil_0
3 1 -0.02737 coma_x
3 -1 -0.06914 coma_y
3 -3 0.01459 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 -0.00145 piston
1 1 -0.00610 tilt_x
1 -1 -0.02125 tilt_y
2 2 -0.06283 astigmatism_0
2 0 -0.00030 curvature
2 -2 -0.00674 astigmatism45
3 3 0.02141 trefoil_0
3 1 -0.02647 coma_x
3 -1 -0.06831 coma_y
3 -3 0.01115 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 -0.00153 piston
1 1 -0.00604 tilt_x
1 -1 -0.02130 tilt_y
2 2 -0.06161 astigmatism_0
2 0 -0.00051 curvature
2 -2 -0.00660 astigmatism45
3 3 0.02195 trefoil_0
3 1 -0.02605 coma_x
3 -1 -0.06915 coma_y
3 -3 0.00776 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 -0.00163 piston
1 1 -0.00617 tilt_x
1 -1 -0.02136 tilt_y
2 2 -0.06461 astigmatism_0
2 0 -0.00068 curvature
2 -2 -0.00521 astigmatism45
3 3 0.02446 trefoil_0
3 1 -0.02683 coma_x
3 -1 -0.06966 coma_y
3 -3 0.01070 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: 23.8 20.1 18.7 22.3 22.9 23.2 31.2 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 19.9 17.8 21.4 23 23.3 29.7 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.28 3.97 4.96 5.06 4.55 4.93 8.28 5.73
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 20.8 18.4 23 22.7 23.3 31.1 24.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 20.6 17.5 22.1 22.8 23.3 29.5 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.36 4.1 5.12 5.23 4.69 5.08 8.55 5.92
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 20.8 18.6 23 22.8 23.3 31.3 24.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 20.6 17.6 22.1 22.9 23.4 29.6 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.37 4.12 5.14 5.24 4.66 4.99 8.47 5.88
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 20.8 18.6 22.7 22.8 23.3 31.4 24.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 20.6 17.7 21.8 22.9 23.3 29.6 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.37 4.12 5.14 5.22 4.61 4.88 8.34 5.8
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 20.8 18.8 22.3 22.8 23 31.3 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 20.7 18 21.5 22.9 23 29.6 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.28 3.97 4.94 5.03 4.44 4.71 8.03 5.59
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 20.3 18.7 22 22.8 23 31.1 24.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 20.2 17.9 21.1 22.9 23 29.5 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.22 3.86 4.82 4.93 4.44 4.81 8.06 5.59
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 20.3 18.4 21.9 22.6 23 31 24.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 20.2 17.5 21 22.6 23 29.3 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.25 3.92 4.91 5.05 4.63 5.14 8.47 5.84
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 21.1 18.4 22.3 22.6 23.2 31.2 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 20.9 17.6 21.5 22.7 23.2 29.6 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.26 3.94 4.92 5.05 4.6 5.05 8.38 5.79
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 21.2 18.6 23 22.8 23.1 31.3 24.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.5 21.1 17.8 22.2 22.9 23.2 29.6 24
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.28 3.96 4.94 5.03 4.45 4.74 8.05 5.6
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 20.5 18.6 23.1 22.5 23 31.2 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 20.4 17.8 22.3 22.6 23 29.5 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.25 3.92 4.88 4.97 4.42 4.72 8.01 5.56
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 20.3 18.4 22.5 22.7 23.2 31.2 24.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 20.2 17.5 21.6 22.8 23.2 29.5 23.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.31 4.02 5.01 5.1 4.54 4.87 8.25 5.72
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 20.6 18.2 22 22.6 23.2 31 24.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 20.5 17.4 21.1 22.7 23.2 29.3 23.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.3 4 4.99 5.11 4.6 5 8.38 5.8
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 20.6 18.5 21.8 22.6 23.2 31.1 24.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 20.6 17.7 20.9 22.7 23.2 29.4 23.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.28 3.97 4.96 5.08 4.62 5.06 8.43 5.82
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 20.6 18.7 22.2 22.9 23.2 31.3 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 20.5 17.9 21.4 23 23.2 29.6 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.25 3.91 4.87 4.98 4.46 4.82 8.11 5.62
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 20.6 18.7 22.6 22.7 23.1 31.3 24.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 20.5 17.8 21.7 22.8 23.2 29.7 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.26 3.94 4.91 4.99 4.43 4.73 8.03 5.58
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 20.4 18.5 22.7 22.7 23.4 31.3 24.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 20.3 17.6 21.8 22.8 23.4 29.6 23.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.29 3.98 4.97 5.08 4.58 4.98 8.35 5.77
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 19.6 17.5 21.2 21.6 22 30.3 23.4
Mean deviation is -0.8236902142869087 microns
Taper = 10 dB, Ruze illumination-weighted rms = 22.9 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 = 20.1 micron
Centre pixel: 128.0 128.0 Value = 13506.3 (estimate), 15687.6 (perfect)
Strehl = 0.741235
Strehl ratio estimate = 0.7412
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 = 19.4 micron
Centre pixel: 128.0 128.0 Value = 12000 (estimate), 15687.6 (perfect)
Strehl = 0.585125
Strehl ratio estimate = 0.5851
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 2.2 -4.6 -9.1 10.4
2 1 2 3.1 2.3 -0.8 3.9
3 1 3 3.1 2.6 -3.3 5.2
4 1 4 1.7 7.8 -9.8 12.7
5 1 5 -16.9 -1.8 9.6 19.5
6 1 6 -8.5 1.6 -0.4 8.6
7 1 7 4.2 -0.4 8.1 9.2
8 1 8 -5.6 9.1 7.9 13.3
9 1 9 -82.8 -10.6 6.7 83.7
10 1 10 7.3 7.5 11.2 15.4
11 1 11 11.1 0.6 -10.1 15.0
12 1 12 1.4 -6.5 -5.3 8.5
13 2 1 8.8 -9.8 -6.8 14.8
14 2 2 6.9 -8.2 -10.4 14.9
15 2 3 -0.1 -10.0 -8.6 13.2
16 2 4 -1.9 -8.7 -4.5 10.0
17 2 5 -1.0 6.9 -7.5 10.3
18 2 6 -1.3 1.5 -4.4 4.9
19 2 7 -1.8 -0.1 0.1 1.8
20 2 8 -1.7 13.0 6.6 14.7
21 2 9 0.9 -3.6 -0.6 3.8
22 2 10 3.7 4.4 3.8 6.9
23 2 11 -1.3 -2.2 0.1 2.5
24 2 12 -1.5 1.2 -2.4 3.1
25 2 13 -1.5 3.4 1.4 4.0
26 2 14 -2.2 -6.1 6.7 9.3
27 2 15 7.7 5.4 3.2 9.9
28 2 16 8.1 8.7 6.6 13.6
29 2 17 7.2 0.9 -3.5 8.0
30 2 18 0.9 4.7 -9.4 10.6
31 2 19 1.9 -10.6 5.8 12.2
32 2 20 8.7 -2.3 -11.8 14.9
33 2 21 -2.0 -10.3 -5.7 12.0
34 2 22 -4.2 -9.8 -5.4 12.0
35 2 23 5.7 -8.2 -5.7 11.6
36 2 24 7.5 -13.6 -14.0 20.9
37 3 1 -3.6 -6.8 -3.9 8.6
38 3 2 -2.5 -2.2 -3.7 5.0
39 3 3 -1.8 -3.1 -9.4 10.0
40 3 4 1.3 -5.4 -2.4 6.0
41 3 5 -2.8 -3.6 -2.7 5.3
42 3 6 -9.7 -0.8 4.1 10.5
43 3 7 -7.0 -2.2 -2.1 7.7
44 3 8 -5.8 -1.6 -3.1 6.8
45 3 9 -0.0 1.1 -6.0 6.1
46 3 10 -4.0 0.3 -8.0 9.0
47 3 11 -4.2 4.9 -7.6 10.0
48 3 12 2.6 2.1 -3.3 4.7
49 3 13 7.5 -6.0 15.6 18.3
50 3 14 14.3 6.0 42.9 45.6
51 3 15 3.1 2.0 10.3 10.9
52 3 16 7.5 6.9 10.2 14.4
53 3 17 5.7 8.3 12.6 16.2
54 3 18 1.2 8.8 18.3 20.4
55 3 19 7.9 9.2 9.3 15.3
56 3 20 8.4 9.4 6.1 14.0
57 3 21 5.2 6.7 9.8 13.0
58 3 22 7.5 9.3 16.1 20.0
59 3 23 -1.2 5.4 11.0 12.4
60 3 24 3.5 4.8 14.7 15.9
61 3 25 -0.3 5.4 3.7 6.5
62 3 26 -12.8 4.1 12.4 18.3
63 3 27 2.2 4.6 10.7 11.8
64 3 28 17.1 12.5 7.5 22.5
65 3 29 13.8 11.6 3.2 18.3
66 3 30 13.4 -14.1 13.5 23.7
67 3 31 -0.8 8.0 10.4 13.1
68 3 32 5.9 3.5 4.0 7.9
69 3 33 3.7 5.8 4.2 8.1
70 3 34 0.1 -3.9 9.2 10.0
71 3 35 4.9 3.4 -2.1 6.3
72 3 36 -7.9 -4.6 1.7 9.3
73 3 37 3.9 -3.3 -17.1 17.8
74 3 38 -10.1 -2.5 -18.0 20.8
75 3 39 -11.0 -4.6 -13.6 18.1
76 3 40 5.3 -8.1 -12.4 15.7
77 3 41 -9.1 -13.9 -2.3 16.8
78 3 42 -4.4 -3.5 -4.6 7.2
79 3 43 -10.3 -6.1 -2.3 12.2
80 3 44 -3.6 -9.7 -3.7 10.9
81 3 45 -0.4 -8.2 -12.8 15.2
82 3 46 0.5 -7.8 -9.1 12.0
83 3 47 -4.3 -6.0 -13.2 15.1
84 3 48 -1.8 -5.0 -11.0 12.2
85 4 1 -8.9 -1.5 7.0 11.4
86 4 2 -3.4 2.4 -1.9 4.6
87 4 3 0.1 0.2 8.0 8.0
88 4 4 -4.8 0.2 -2.1 5.2
89 4 5 -0.7 -1.1 -0.4 1.4
90 4 6 -2.6 -2.0 -8.6 9.2
91 4 7 6.3 -4.6 -9.2 12.1
92 4 8 5.1 -0.1 -12.1 13.1
93 4 9 -0.7 -1.8 -11.5 11.6
94 4 10 -7.0 -1.8 -12.1 14.1
95 4 11 0.8 0.4 -10.6 10.7
96 4 12 -3.0 -2.3 -2.0 4.3
97 4 13 7.7 0.1 9.2 12.0
98 4 14 12.9 4.3 -0.1 13.6
99 4 15 6.1 10.4 8.3 14.7
100 4 16 7.0 11.4 7.2 15.2
101 4 17 12.8 12.6 2.0 18.1
102 4 18 7.8 11.5 18.2 22.9
103 4 19 9.1 11.4 9.6 17.5
104 4 20 22.4 15.7 2.7 27.5
105 4 21 20.3 10.8 8.2 24.4
106 4 22 6.9 12.9 7.6 16.5
107 4 23 9.3 12.1 9.2 17.8
108 4 24 11.4 11.5 8.6 18.4
109 4 25 2.0 13.1 49.4 51.1
110 4 26 3.3 4.9 7.2 9.3
111 4 27 10.9 1.0 6.4 12.7
112 4 28 21.9 9.6 1.5 24.0
113 4 29 18.4 18.7 -39.8 47.6
114 4 30 9.9 10.4 16.0 21.5
115 4 31 6.5 7.5 10.4 14.3
116 4 32 6.6 7.7 5.8 11.7
117 4 33 0.1 2.0 1.6 2.6
118 4 34 8.2 6.2 -2.2 10.5
119 4 35 -17.7 2.2 -13.9 22.6
120 4 36 1.0 -7.0 -1.5 7.2
121 4 37 -3.1 -17.4 -9.9 20.3
122 4 38 -7.5 -6.4 -9.8 13.9
123 4 39 -7.1 -5.0 -17.6 19.6
124 4 40 -16.7 -4.7 -14.0 22.3
125 4 41 -6.3 -5.3 -4.7 9.5
126 4 42 3.2 -6.2 -11.6 13.5
127 4 43 -6.3 -5.8 -11.9 14.7
128 4 44 -6.1 -2.7 -7.9 10.3
129 4 45 -1.6 -3.6 -9.0 9.9
130 4 46 1.6 -5.5 -9.8 11.3
131 4 47 -7.7 -5.2 -3.1 9.8
132 4 48 -13.2 -3.5 -5.2 14.6
133 5 1 7.1 4.0 3.3 8.8
134 5 2 15.0 6.4 1.7 16.4
135 5 3 2.9 6.5 11.1 13.1
136 5 4 4.8 7.5 3.3 9.5
137 5 5 -0.0 5.5 10.8 12.1
138 5 6 6.4 -0.7 0.3 6.4
139 5 7 -7.0 3.2 -2.4 8.1
140 5 8 -10.4 -4.4 -9.6 14.8
141 5 9 -6.6 -8.8 -9.3 14.5
142 5 10 -5.8 -8.5 -13.4 16.9
143 5 11 0.5 -9.3 -8.7 12.7
144 5 12 -1.0 -2.3 -8.9 9.3
145 5 13 7.3 1.7 -5.0 9.0
146 5 14 -1.0 5.8 -9.1 10.8
147 5 15 10.4 4.4 -8.5 14.1
148 5 16 4.3 9.3 -4.6 11.3
149 5 17 7.5 14.1 -0.0 16.0
150 5 18 9.7 3.1 227.7 227.9
151 5 19 1.9 0.7 -6.9 7.2
152 5 20 2.8 -0.6 -15.2 15.5
153 5 21 10.9 -0.8 -12.1 16.3
154 5 22 4.2 -2.5 -10.0 11.2
155 5 23 -4.0 -6.3 -11.9 14.1
156 5 24 -2.0 -9.5 -15.5 18.3
157 5 25 2.0 -9.0 -13.9 16.7
158 5 26 7.8 0.8 -2.4 8.2
159 5 27 13.2 -6.8 -11.0 18.5
160 5 28 15.4 4.2 -5.0 16.7
161 5 29 14.1 4.3 -2.8 15.0
162 5 30 5.5 4.5 13.6 15.3
163 5 31 12.1 6.0 5.3 14.5
164 5 32 8.3 8.3 6.8 13.6
165 5 33 -0.4 8.3 6.1 10.3
166 5 34 0.7 -0.5 -0.9 1.2
167 5 35 4.2 3.1 -17.4 18.1
168 5 36 5.8 -4.1 -10.7 12.9
169 5 37 -10.2 -18.2 0.5 20.9
170 5 38 -3.1 -12.3 -7.1 14.5
171 5 39 -7.9 -6.1 7.9 12.8
172 5 40 -12.2 -5.1 -4.0 13.8
173 5 41 -7.4 -4.1 0.4 8.5
174 5 42 -7.3 2.7 1.4 7.9
175 5 43 -4.6 0.9 0.8 4.8
176 5 44 -8.0 0.5 4.5 9.2
177 5 45 -3.9 1.1 2.0 4.5
178 5 46 -4.6 0.8 0.3 4.7
179 5 47 12.3 -2.2 -9.1 15.5
180 5 48 -4.2 5.9 -3.5 8.0
181 6 1 24.6 10.1 -0.1 26.5
182 6 2 24.0 7.1 2.0 25.2
183 6 3 19.1 10.3 -0.1 21.7
184 6 4 9.7 10.0 -7.2 15.7
185 6 5 11.2 7.2 21.7 25.5
186 6 6 14.6 5.6 7.5 17.4
187 6 7 -4.6 1.9 7.0 8.7
188 6 8 -3.9 -9.8 7.4 12.9
189 6 9 -9.8 -8.5 -12.2 17.8
190 6 10 -12.1 -11.7 -7.3 18.3
191 6 11 -15.9 -11.2 -20.1 28.0
192 6 12 -9.2 -11.3 -20.0 24.8
193 6 13 -3.0 -17.1 -14.9 22.9
194 6 14 -9.5 -4.1 -8.0 13.1
195 6 15 0.7 -9.0 -9.4 13.1
196 6 16 14.0 -6.7 -14.2 21.0
197 6 17 -11.6 -10.9 -26.0 30.5
198 6 18 -3.3 -11.9 -13.1 18.0
199 6 19 -13.3 -17.5 -20.2 29.9
200 6 20 -9.5 -18.4 -23.4 31.3
201 6 21 -15.0 -15.5 1.5 21.7
202 6 22 -20.5 -17.3 -3.8 27.1
203 6 23 -21.4 -10.8 4.5 24.4
204 6 24 -22.5 1.4 5.8 23.3
205 6 25 -16.0 -1.2 0.7 16.1
206 6 26 -17.6 -8.5 8.1 21.1
207 6 27 -8.9 -6.5 5.1 12.2
208 6 28 -8.9 -6.1 6.0 12.3
209 6 29 -1.4 3.3 -20.8 21.1
210 6 30 5.0 5.4 44.8 45.4
211 6 31 12.7 1.0 -3.5 13.2
212 6 32 12.5 -0.4 2.3 12.7
213 6 33 9.0 5.2 -2.5 10.7
214 6 34 2.5 -0.5 8.8 9.2
215 6 35 -7.3 1.3 -8.6 11.3
216 6 36 3.5 17.9 3.7 18.6
217 6 37 -0.7 -6.0 -8.2 10.2
218 6 38 -5.7 -9.7 -6.6 13.1
219 6 39 -1.9 6.7 -14.8 16.4
220 6 40 -9.1 4.7 -1.5 10.4
221 6 41 5.9 6.7 18.1 20.2
222 6 42 11.9 9.6 31.2 34.8
223 6 43 18.0 9.7 17.3 26.8
224 6 44 6.5 14.0 19.9 25.2
225 6 45 0.5 20.1 -5.3 20.8
226 6 46 25.9 6.7 0.0 26.7
227 6 47 14.0 3.2 3.3 14.8
228 6 48 -6.1 11.1 7.1 14.5
229 7 1 21.5 8.8 -2.1 23.3
230 7 2 9.3 10.3 3.4 14.3
231 7 3 9.6 14.5 -7.5 18.9
232 7 4 19.5 1.5 0.4 19.5
233 7 5 -2.0 2.4 6.8 7.5
234 7 6 21.4 16.2 0.3 26.8
235 7 7 7.5 13.7 24.5 29.0
236 7 8 22.4 8.5 -63.7 68.1
237 7 9 -12.5 -1.7 -6.5 14.2
238 7 10 -11.0 -12.6 -8.0 18.6
239 7 11 -18.0 -22.3 -15.1 32.4
240 7 12 -15.1 -17.1 -6.3 23.7
241 7 13 -14.2 -15.2 -6.3 21.8
242 7 14 -8.6 -9.4 -5.5 13.9
243 7 15 -12.0 -16.9 -5.9 21.5
244 7 16 -17.7 -16.8 -20.6 31.9
245 7 17 -33.8 -15.8 -17.4 41.2
246 7 18 -29.0 -19.3 -31.4 46.9
247 7 19 -22.5 -22.0 11.4 33.5
248 7 20 -23.9 1.9 -0.9 24.0
249 7 21 -4.4 5.5 17.3 18.6
250 7 22 -13.9 -21.3 28.0 37.8
251 7 23 5.1 9.5 32.0 33.7
252 7 24 13.6 16.5 20.8 29.8
253 7 25 14.9 20.4 28.3 37.9
254 7 26 5.6 8.9 -0.3 10.5
255 7 27 -10.5 11.8 4.3 16.3
256 7 28 0.4 0.4 237.4 237.4
257 7 29 -8.4 -1.8 -12.1 14.9
258 7 30 -15.2 -24.4 -22.1 36.3
259 7 31 -10.4 -20.3 -19.5 30.0
260 7 32 -2.9 -16.8 -28.1 32.8
261 7 33 -15.1 -11.4 -40.4 44.6
262 7 34 -3.5 -11.0 -39.7 41.4
263 7 35 -16.5 -19.1 -42.1 49.1
264 7 36 -0.7 -23.4 -30.2 38.2
265 7 37 -6.4 -26.7 -27.9 39.2
266 7 38 -14.0 -12.6 -33.3 38.3
267 7 39 4.8 -18.8 -8.2 21.0
268 7 40 -4.6 7.6 -17.5 19.6
269 7 41 17.8 7.7 3.6 19.7
270 7 42 21.2 10.4 14.2 27.5
271 7 43 -24.5 16.9 -6.7 30.5
272 7 44 5.9 17.5 4.9 19.1
273 7 45 11.5 10.2 18.6 24.2
274 7 46 20.1 15.3 -0.5 25.3
275 7 47 5.9 13.5 2.2 14.9
276 7 48 21.4 184.5 -14.2 186.3
Creating sector-motor-move file
sector motor steps
1 1 0
1 2 0
1 3 5
1 4 -2
1 5 3
1 6 2
1 7 -2
1 8 4
1 9 2
1 10 0
1 11 3
1 12 5
1 13 1
1 14 3
1 15 2
1 16 0
1 17 2
1 18 7
1 19 0
1 20 2
1 21 6
1 22 0
1 23 3
1 24 7
1 25 1
1 26 2
1 27 1
1 28 0
1 29 0
1 30 -1
1 31 3
1 32 1
1 33 0
1 34 2
1 35 0
1 36 0
1 37 0
1 38 1
1 39 4
1 40 0
1 41 0
1 42 -1
1 43 1
1 44 1
1 45 2
1 46 2
1 47 0
1 48 -2
1 49 -2
1 50 0
1 51 0
1 52 -3
1 53 -2
1 54 2
1 55 -1
1 56 0
1 57 0
1 58 -1
1 59 0
1 60 -2
1 61 -1
1 62 -2
1 63 -1
1 64 -3
1 65 2
1 66 -2
1 67 0
1 68 -1
1 69 0
2 1 -19
2 2 2
2 3 6
2 4 2
2 5 -3
2 6 -1
2 7 7
2 8 4
2 9 2
2 10 2
2 11 0
2 12 -1
2 13 0
2 14 4
2 15 6
2 16 2
2 17 1
2 18 4
2 19 2
2 20 0
2 21 0
2 22 6
2 23 2
2 24 3
2 25 -2
2 26 -1
2 27 -3
2 28 -3
2 29 0
2 30 1
2 31 0
2 32 0
2 33 -2
2 34 -2
2 35 -1
2 36 1
2 37 0
2 38 0
2 39 1
2 40 -2
2 41 0
2 42 0
2 43 3
2 44 1
2 45 0
2 46 0
2 47 0
2 48 0
2 49 0
2 50 0
2 51 -2
2 52 -1
2 53 -2
2 54 0
2 55 1
2 56 0
2 57 -2
2 58 0
2 59 0
2 60 0
2 61 0
2 62 -1
2 63 0
2 64 2
2 65 0
2 66 -2
2 67 0
2 68 0
2 69 -1
3 1 -1
3 2 -5
3 3 -4
3 4 -6
3 5 -3
3 6 -2
3 7 -4
3 8 -6
3 9 -5
3 10 -6
3 11 -3
3 12 -4
3 13 -2
3 14 -3
3 15 -3
3 16 -2
3 17 -3
3 18 -3
3 19 -1
3 20 0
3 21 -3
3 22 -3
3 23 -2
3 24 -3
3 25 -2
3 26 0
3 27 0
3 28 0
3 29 0
3 30 0
3 31 -2
3 32 -2
3 33 0
3 34 -3
3 35 0
3 36 0
3 37 -4
3 38 -2
3 39 -1
3 40 -3
3 41 0
3 42 -2
3 43 -2
3 44 -2
3 45 -2
3 46 -3
3 47 0
3 48 0
3 49 -2
3 50 1
3 51 -1
3 52 -1
3 53 0
3 54 0
3 55 -2
3 56 0
3 57 -1
3 58 0
3 59 0
3 60 -1
3 61 -1
3 62 0
3 63 0
3 64 0
3 65 0
3 66 -2
3 67 -1
3 68 0
3 69 0
4 1 -6
4 2 -5
4 3 -5
4 4 -4
4 5 -2
4 6 4
4 7 -1
4 8 -5
4 9 -3
4 10 -2
4 11 -2
4 12 0
4 13 -1
4 14 -2
4 15 -2
4 16 -2
4 17 -1
4 18 -2
4 19 -1
4 20 -4
4 21 -4
4 22 -4
4 23 -5
4 24 0
4 25 -1
4 26 2
4 27 1
4 28 2
4 29 3
4 30 2
4 31 -2
4 32 1
4 33 3
4 34 2
4 35 3
4 36 1
4 37 -2
4 38 1
4 39 0
4 40 0
4 41 1
4 42 3
4 43 -1
4 44 0
4 45 2
4 46 2
4 47 0
4 48 2
4 49 3
4 50 0
4 51 0
4 52 2
4 53 3
4 54 0
4 55 13
4 56 1
4 57 4
4 58 2
4 59 0
4 60 -3
4 61 4
4 62 -1
4 63 2
4 64 -1
4 65 0
4 66 0
4 67 3
4 68 2
4 69 2
5 1 0
5 2 0
5 3 -7
5 4 -7
5 5 -5
5 6 -2
5 7 3
5 8 -6
5 9 -6
5 10 -6
5 11 -5
5 12 -4
5 13 -9
5 14 -5
5 15 -8
5 16 -4
5 17 -3
5 18 -1
5 19 -5
5 20 -4
5 21 -10
5 22 -7
5 23 -3
5 24 -3
5 25 -4
5 26 0
5 27 0
5 28 0
5 29 4
5 30 6
5 31 -2
5 32 0
5 33 0
5 34 2
5 35 3
5 36 2
5 37 69
5 38 0
5 39 2
5 40 5
5 41 3
5 42 2
5 43 0
5 44 4
5 45 2
5 46 0
5 47 3
5 48 3
5 49 2
5 50 2
5 51 2
5 52 1
5 53 1
5 54 1
5 55 5
5 56 2
5 57 0
5 58 0
5 59 -5
5 60 2
5 61 3
5 62 2
5 63 1
5 64 0
5 65 0
5 66 0
5 67 1
5 68 2
5 69 2
6 1 6
6 2 5
6 3 4
6 4 1
6 5 0
6 6 -6
6 7 9
6 8 2
6 9 1
6 10 1
6 11 -3
6 12 -6
6 13 8
6 14 -6
6 15 -4
6 16 -1
6 17 -5
6 18 -6
6 19 5
6 20 1
6 21 -1
6 22 0
6 23 -4
6 24 -4
6 25 -4
6 26 -2
6 27 0
6 28 2
6 29 3
6 30 3
6 31 -3
6 32 -1
6 33 -1
6 34 2
6 35 3
6 36 2
6 37 -3
6 38 0
6 39 1
6 40 2
6 41 3
6 42 2
6 43 -3
6 44 0
6 45 3
6 46 2
6 47 3
6 48 6
6 49 3
6 50 1
6 51 0
6 52 0
6 53 0
6 54 0
6 55 4
6 56 2
6 57 2
6 58 0
6 59 -2
6 60 0
6 61 3
6 62 2
6 63 1
6 64 1
6 65 0
6 66 0
6 67 4
6 68 1
6 69 1
7 1 72
7 2 0
7 3 0
7 4 1
7 5 -1
7 6 -2
7 7 1
7 8 3
7 9 -3
7 10 1
7 11 -1
7 12 -2
7 13 0
7 14 2
7 15 1
7 16 2
7 17 -2
7 18 -5
7 19 8
7 20 6
7 21 4
7 22 0
7 23 0
7 24 -4
7 25 -1
7 26 1
7 27 4
7 28 0
7 29 2
7 30 6
7 31 -3
7 32 -2
7 33 4
7 34 1
7 35 0
7 36 3
7 37 0
7 38 0
7 39 2
7 40 2
7 41 1
7 42 1
7 43 -4
7 44 -2
7 45 0
7 46 15
7 47 4
7 48 0
7 49 3
7 50 1
7 51 0
7 52 2
7 53 -1
7 54 0
7 55 3
7 56 1
7 57 -3
7 58 0
7 59 1
7 60 2
7 61 1
7 62 1
7 63 0
7 64 1
7 65 0
7 66 0
7 67 2
7 68 3
7 69 5
8 1 -8
8 2 -5
8 3 0
8 4 0
8 5 0
8 6 3
8 7 -5
8 8 -6
8 9 -3
8 10 -1
8 11 0
8 12 3
8 13 -6
8 14 -7
8 15 -4
8 16 13
8 17 1
8 18 1
8 19 -3
8 20 0
8 21 -2
8 22 -6
8 23 1
8 24 0
8 25 2
8 26 2
8 27 2
8 28 1
8 29 2
8 30 2
8 31 1
8 32 1
8 33 3
8 34 3
8 35 2
8 36 1
8 37 4
8 38 1
8 39 1
8 40 4
8 41 3
8 42 3
8 43 0
8 44 1
8 45 4
8 46 -12
8 47 5
8 48 5
8 49 3
8 50 2
8 51 0
8 52 2
8 53 2
8 54 2
8 55 4
8 56 -4
8 57 4
8 58 2
8 59 -1
8 60 2
8 61 0
8 62 3
8 63 4
8 64 0
8 65 2
8 66 0
8 67 1
8 68 1
8 69 1
9 1 -9
9 2 -7
9 3 0
9 4 1
9 5 5
9 6 1
9 7 -12
9 8 -5
9 9 -5
9 10 -2
9 11 0
9 12 -2
9 13 -12
9 14 -3
9 15 -1
9 16 2
9 17 0
9 18 0
9 19 -12
9 20 -3
9 21 -4
9 22 0
9 23 1
9 24 2
9 25 -3
9 26 -1
9 27 1
9 28 0
9 29 -2
9 30 0
9 31 -5
9 32 0
9 33 1
9 34 -4
9 35 0
9 36 -5
9 37 0
9 38 0
9 39 0
9 40 0
9 41 1
9 42 2
9 43 1
9 44 2
9 45 0
9 46 0
9 47 0
9 48 0
9 49 0
9 50 1
9 51 1
9 52 -2
9 53 1
9 54 0
9 55 2
9 56 -1
9 57 0
9 58 -3
9 59 -25
9 60 2
9 61 1
9 62 1
9 63 1
9 64 -3
9 65 2
9 66 -1
9 67 0
9 68 -1
9 69 -2
10 1 -5
10 2 2
10 3 -1
10 4 0
10 5 1
10 6 -2
10 7 -2
10 8 -5
10 9 1
10 10 -4
10 11 2
10 12 0
10 13 -10
10 14 -3
10 15 -4
10 16 -2
10 17 -2
10 18 -1
10 19 -8
10 20 -8
10 21 -1
10 22 -2
10 23 -1
10 24 0
10 25 -1
10 26 -1
10 27 -3
10 28 -4
10 29 -1
10 30 -5
10 31 2
10 32 -1
10 33 -2
10 34 -5
10 35 -1
10 36 -2
10 37 -2
10 38 -3
10 39 0
10 40 -3
10 41 -1
10 42 -2
10 43 0
10 44 -5
10 45 -3
10 46 -3
10 47 -5
10 48 0
10 49 -4
10 50 -1
10 51 -3
10 52 -3
10 53 0
10 54 2
10 55 -5
10 56 0
10 57 -3
10 58 2
10 59 2
10 60 3
10 61 -5
10 62 -1
10 63 1
10 64 -3
10 65 0
10 66 1
10 67 -3
10 68 -2
10 69 1
11 1 1
11 2 5
11 3 1
11 4 6
11 5 4
11 6 1
11 7 -2
11 8 5
11 9 -7
11 10 5
11 11 2
11 12 5
11 13 4
11 14 3
11 15 6
11 16 9
11 17 2
11 18 3
11 19 1
11 20 2
11 21 5
11 22 5
11 23 2
11 24 1
11 25 1
11 26 0
11 27 -2
11 28 -2
11 29 0
11 30 -1
11 31 0
11 32 0
11 33 -1
11 34 -3
11 35 -1
11 36 -1
11 37 0
11 38 0
11 39 -2
11 40 -3
11 41 -1
11 42 0
11 43 0
11 44 -1
11 45 -2
11 46 -1
11 47 -1
11 48 -1
11 49 0
11 50 -1
11 51 -3
11 52 -1
11 53 -3
11 54 -1
11 55 -1
11 56 -1
11 57 -1
11 58 0
11 59 3
11 60 -3
11 61 0
11 62 -4
11 63 -2
11 64 -2
11 65 0
11 66 -1
11 67 -1
11 68 -2
11 69 -1
12 1 -4
12 2 56
12 3 6
12 4 2
12 5 3
12 6 -1
12 7 0
12 8 4
12 9 1
12 10 1
12 11 0
12 12 4
12 13 0
12 14 4
12 15 6
12 16 0
12 17 2
12 18 7
12 19 5
12 20 3
12 21 3
12 22 -1
12 23 6
12 24 0
12 25 -1
12 26 1
12 27 -1
12 28 -1
12 29 -1
12 30 -4
12 31 -2
12 32 0
12 33 3
12 34 0
12 35 -1
12 36 -2
12 37 0
12 38 0
12 39 -1
12 40 -3
12 41 -1
12 42 0
12 43 0
12 44 0
12 45 -1
12 46 -2
12 47 -1
12 48 0
12 49 -4
12 50 -1
12 51 -1
12 52 -4
12 53 -4
12 54 2
12 55 -2
12 56 -2
12 57 0
12 58 -2
12 59 0
12 60 -1
12 61 -3
12 62 -2
12 63 0
12 64 -3
12 65 1
12 66 -1
12 67 -3
12 68 -1
12 69 0
Adjuster movements: rms = 17.4 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20040809-151552
Creating HTML output file of plots
Plotting summary text