![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050126-014223.fits
Reduced on 20050126-120028 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 | rxh3-20050126-014223.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 0.50 |
| data.pointing_offset_y | 12.1 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.79 |
| 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 | 0.033790000000000001 |
| 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: 20050126-120028
Reading data from rxh3-20050126-014223.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 = 2402.4 max = 2424.7 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.790 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 -2.47314 2.70020 -0.00233
loimag -2.70264 2.72461 -0.00926
hireal -5.00000 4.99756 0.00788
hiimag -5.00000 4.99756 0.01606
xpos -2424.69510 2406.18160 -13.35894
ypos -2402.36212 2402.46734 -0.00114
plock160 0.93750 2.28760 1.67191
lorefpwr 1.47949 2.93213 2.49618
losigpwr -4.58740 -0.98145 -4.47177
hirefpwr 1.52832 2.91504 2.51203
hisigpwr -4.50439 4.99756 -1.47172
encltemp 31.54297 32.93457 32.08251
flags 0.00000 256.00000 2.44471
phi-lock -1.25732 0.09277 -0.62970
sindex 0.00000 254.00000 126.60925
time 0.00000 5877.00600 2937.61083
zeropt -0.00732 -0.00244 -0.00494
!!!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 = 20.00292 arcsec
Mean row spacing = 20.00293 arcsec (alternate estimator)
Mean tracking incline = -0.04493 arcsec
Mean pointing range = 0.47726 arcsec
Mean pointing rms = 0.08377 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (0.50, 12.1 ) 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: 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 = 2424.7 arcsec
Grid extent = 2550 arcsec
lambda_min = 0.00186512
scale = 0.00259937
Diffraction scale lambda/D = 25.6569 arcsec
Gridding function extent = 153.941 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 76.9706 arcsec
Airy first null at 31.2929 arcsec
Gridding frequency index 0
lambda = 0.00186582 metres, scale = 0.0025984 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 2.44265 at (0.0, 0.0) arcsec
Real: mean = 0.000490687 sum of squares = 2098.34
Imag: mean = 0.000107096 sum of squares = 2044.72
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 = 2.4674 at (0.0, 0.0) arcsec
Real: mean = 0.00029835 sum of squares = 2147.88
Imag: mean = 0.000204456 sum of squares = 2004.99
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 = 2.50029 at (0.0, 0.0) arcsec
Real: mean = 0.000155186 sum of squares = 2029.2
Imag: mean = 4.15554e-05 sum of squares = 2135.1
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 = 2.52412 at (0.0, 0.0) arcsec
Real: mean = 0.000292752 sum of squares = 2033.56
Imag: mean = -7.07288e-05 sum of squares = 2150.92
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 = 2.54311 at (0.0, 0.0) arcsec
Real: mean = 0.000334659 sum of squares = 2174.66
Imag: mean = -6.19501e-05 sum of squares = 2035.6
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 = 2.52501 at (0.0, 0.0) arcsec
Real: mean = 0.000406822 sum of squares = 2149.09
Imag: mean = -5.69008e-05 sum of squares = 2085.02
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 = 2.49497 at (0.0, 0.0) arcsec
Real: mean = 0.000512449 sum of squares = 2049.2
Imag: mean = -1.92275e-05 sum of squares = 2211.53
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 = 2.48166 at (0.0, 0.0) arcsec
Real: mean = 0.000521068 sum of squares = 2133.19
Imag: mean = 0.000220988 sum of squares = 2157.34
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 = 2.49659 at (0.0, 0.0) arcsec
Real: mean = 0.000222103 sum of squares = 2245.46
Imag: mean = 0.00018033 sum of squares = 2076.29
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 = 2.5351 at (0.0, 0.0) arcsec
Real: mean = 0.000333051 sum of squares = 2160.49
Imag: mean = 5.86523e-05 sum of squares = 2194.93
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 = 2.57086 at (0.0, 0.0) arcsec
Real: mean = 0.000208531 sum of squares = 2108.64
Imag: mean = 9.38808e-05 sum of squares = 2280.32
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 = 2.57612 at (0.0, 0.0) arcsec
Real: mean = 0.000253932 sum of squares = 2255.25
Imag: mean = -0.000129309 sum of squares = 2165.08
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 = 2.56425 at (0.0, 0.0) arcsec
Real: mean = 0.000498208 sum of squares = 2292.08
Imag: mean = -9.29928e-05 sum of squares = 2168.28
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 = 2.54193 at (0.0, 0.0) arcsec
Real: mean = 0.000499665 sum of squares = 2190.09
Imag: mean = 6.38896e-05 sum of squares = 2313.03
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 = 2.52424 at (0.0, 0.0) arcsec
Real: mean = 0.000489356 sum of squares = 2218.59
Imag: mean = 0.000109205 sum of squares = 2329.56
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 = 2.55976 at (0.0, 0.0) arcsec
Real: mean = 0.000414238 sum of squares = 2383.14
Imag: mean = 0.000190837 sum of squares = 2217.58
Masking frequency index 0
Mask scale size = 6.11744
Masking frequency index 1
Mask scale size = 6.11759
Masking frequency index 2
Mask scale size = 6.11774
Masking frequency index 3
Mask scale size = 6.1179
Masking frequency index 4
Mask scale size = 6.11805
Masking frequency index 5
Mask scale size = 6.1182
Masking frequency index 6
Mask scale size = 6.11835
Masking frequency index 7
Mask scale size = 6.11851
Masking frequency index 8
Mask scale size = 6.11866
Masking frequency index 9
Mask scale size = 6.11881
Masking frequency index 10
Mask scale size = 6.11896
Masking frequency index 11
Mask scale size = 6.11912
Masking frequency index 12
Mask scale size = 6.11927
Masking frequency index 13
Mask scale size = 6.11942
Masking frequency index 14
Mask scale size = 6.11957
Masking frequency index 15
Mask scale size = 6.11972
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.224609
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.217285
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: 0.217285
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.227051
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: 0.219727
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -2.0829 129.02
Freq 1: Shift, scale = -2.9483 129.6
Freq 2: Shift, scale = 2.4683 129.99
Freq 3: Shift, scale = 1.6087 130.15
Freq 4: Shift, scale = 0.74512 130.52
Freq 5: Shift, scale = -0.11729 131.02
Freq 6: Shift, scale = -0.98645 131.43
Freq 7: Shift, scale = -1.8522 131.2
Freq 8: Shift, scale = -2.7079 131.2
Freq 9: Shift, scale = 2.7182 132.3
Freq 10: Shift, scale = 1.8502 133.4
Freq 11: Shift, scale = 0.98465 134.16
Freq 12: Shift, scale = 0.11521 134.75
Freq 13: Shift, scale = -0.75057 134.23
Freq 14: Shift, scale = -1.6061 134.14
Freq 15: Shift, scale = -2.4661 135.46
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: -0.043 radians
x offset: 0.0449 arcsec
y offset: 0.021 arcsec
defocus: -0.000758 mm
Estimated x pointing error is 0.5449 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.12 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.0445 radians
x offset: 0.0454 arcsec
y offset: 0.0199 arcsec
defocus: -0.000635 mm
Estimated x pointing error is 0.5454 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.12 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.0466 radians
x offset: 0.0399 arcsec
y offset: 0.0283 arcsec
defocus: -3.09e-05 mm
Estimated x pointing error is 0.5399 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.13 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.0429 radians
x offset: 0.029 arcsec
y offset: 0.0415 arcsec
defocus: -0.000286 mm
Estimated x pointing error is 0.529 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.14 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.79 mm (used 2.79 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.043 radians
x offset: 0.0296 arcsec
y offset: 0.0404 arcsec
defocus: -0.00148 mm
Estimated x pointing error is 0.5296 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.14 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.0411 radians
x offset: 0.0253 arcsec
y offset: 0.0389 arcsec
defocus: -0.0013 mm
Estimated x pointing error is 0.5253 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.14 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.0466 radians
x offset: 0.0212 arcsec
y offset: 0.0412 arcsec
defocus: -0.00104 mm
Estimated x pointing error is 0.5212 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.14 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.049 radians
x offset: 0.00292 arcsec
y offset: 0.0497 arcsec
defocus: -0.00105 mm
Estimated x pointing error is 0.5029 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.15 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.0419 radians
x offset: -0.00511 arcsec
y offset: 0.0556 arcsec
defocus: -0.000816 mm
Estimated x pointing error is 0.4949 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.16 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.789 mm (used 2.79 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.0384 radians
x offset: -0.00516 arcsec
y offset: 0.0446 arcsec
defocus: -0.00308 mm
Estimated x pointing error is 0.4948 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.14 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.787 mm (used 2.79 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.043 radians
x offset: 0.00187 arcsec
y offset: 0.0289 arcsec
defocus: -0.00318 mm
Estimated x pointing error is 0.5019 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.13 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.787 mm (used 2.79 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.0458 radians
x offset: -0.0148 arcsec
y offset: 0.0318 arcsec
defocus: -0.00344 mm
Estimated x pointing error is 0.4852 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.13 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.787 mm (used 2.79 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.0524 radians
x offset: -0.0269 arcsec
y offset: 0.0246 arcsec
defocus: -0.00411 mm
Estimated x pointing error is 0.4731 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.12 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.786 mm (used 2.79 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.0537 radians
x offset: -0.0316 arcsec
y offset: 0.0156 arcsec
defocus: -0.00356 mm
Estimated x pointing error is 0.4684 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.12 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.786 mm (used 2.79 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.0452 radians
x offset: -0.0388 arcsec
y offset: -0.000733 arcsec
defocus: -0.00421 mm
Estimated x pointing error is 0.4612 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.1 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.786 mm (used 2.79 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.0401 radians
x offset: -0.0409 arcsec
y offset: -0.0308 arcsec
defocus: -0.00502 mm
Estimated x pointing error is 0.4591 arcsec (used 0.5 arcsec)
Estimated y pointing error is 12.07 arcsec (used 12.1 arcsec)
Estimated defocus error is 2.785 mm (used 2.79 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 -0.00604 piston
1 1 -0.01298 tilt_x
1 -1 0.01298 tilt_y
2 2 -0.10521 astigmatism_0
2 0 -0.01617 curvature
2 -2 -0.05319 astigmatism45
3 3 -0.00013 trefoil_0
3 1 -0.05334 coma_x
3 -1 0.05778 coma_y
3 -3 0.03050 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 -0.00596 piston
1 1 -0.01263 tilt_x
1 -1 0.01285 tilt_y
2 2 -0.10599 astigmatism_0
2 0 -0.01612 curvature
2 -2 -0.05161 astigmatism45
3 3 0.00048 trefoil_0
3 1 -0.05225 coma_x
3 -1 0.05858 coma_y
3 -3 0.03014 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 -0.00588 piston
1 1 -0.01303 tilt_x
1 -1 0.01249 tilt_y
2 2 -0.10439 astigmatism_0
2 0 -0.01577 curvature
2 -2 -0.05236 astigmatism45
3 3 -0.00003 trefoil_0
3 1 -0.05325 coma_x
3 -1 0.05737 coma_y
3 -3 0.02756 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 -0.00585 piston
1 1 -0.01357 tilt_x
1 -1 0.01264 tilt_y
2 2 -0.10291 astigmatism_0
2 0 -0.01575 curvature
2 -2 -0.05291 astigmatism45
3 3 -0.00171 trefoil_0
3 1 -0.05489 coma_x
3 -1 0.05738 coma_y
3 -3 0.02600 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 -0.00588 piston
1 1 -0.01335 tilt_x
1 -1 0.01292 tilt_y
2 2 -0.10273 astigmatism_0
2 0 -0.01597 curvature
2 -2 -0.05131 astigmatism45
3 3 -0.00261 trefoil_0
3 1 -0.05426 coma_x
3 -1 0.05810 coma_y
3 -3 0.02603 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 -0.00592 piston
1 1 -0.01333 tilt_x
1 -1 0.01284 tilt_y
2 2 -0.10439 astigmatism_0
2 0 -0.01607 curvature
2 -2 -0.05124 astigmatism45
3 3 -0.00156 trefoil_0
3 1 -0.05489 coma_x
3 -1 0.05816 coma_y
3 -3 0.02795 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 -0.00588 piston
1 1 -0.01260 tilt_x
1 -1 0.01323 tilt_y
2 2 -0.10619 astigmatism_0
2 0 -0.01606 curvature
2 -2 -0.05053 astigmatism45
3 3 0.00055 trefoil_0
3 1 -0.05337 coma_x
3 -1 0.06055 coma_y
3 -3 0.02842 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 -0.00578 piston
1 1 -0.01256 tilt_x
1 -1 0.01296 tilt_y
2 2 -0.10530 astigmatism_0
2 0 -0.01584 curvature
2 -2 -0.05090 astigmatism45
3 3 0.00105 trefoil_0
3 1 -0.05247 coma_x
3 -1 0.05958 coma_y
3 -3 0.02581 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 -0.00576 piston
1 1 -0.01204 tilt_x
1 -1 0.01316 tilt_y
2 2 -0.10377 astigmatism_0
2 0 -0.01571 curvature
2 -2 -0.05122 astigmatism45
3 3 -0.00135 trefoil_0
3 1 -0.05020 coma_x
3 -1 0.05928 coma_y
3 -3 0.02357 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 -0.00585 piston
1 1 -0.01186 tilt_x
1 -1 0.01327 tilt_y
2 2 -0.10383 astigmatism_0
2 0 -0.01597 curvature
2 -2 -0.05133 astigmatism45
3 3 -0.00175 trefoil_0
3 1 -0.04979 coma_x
3 -1 0.05917 coma_y
3 -3 0.02479 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 -0.00591 piston
1 1 -0.01150 tilt_x
1 -1 0.01268 tilt_y
2 2 -0.10624 astigmatism_0
2 0 -0.01612 curvature
2 -2 -0.05086 astigmatism45
3 3 0.00072 trefoil_0
3 1 -0.04956 coma_x
3 -1 0.05781 coma_y
3 -3 0.02631 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 -0.00583 piston
1 1 -0.01166 tilt_x
1 -1 0.01191 tilt_y
2 2 -0.10604 astigmatism_0
2 0 -0.01589 curvature
2 -2 -0.05116 astigmatism45
3 3 0.00212 trefoil_0
3 1 -0.05059 coma_x
3 -1 0.05558 coma_y
3 -3 0.02586 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 -0.00583 piston
1 1 -0.01146 tilt_x
1 -1 0.01205 tilt_y
2 2 -0.10513 astigmatism_0
2 0 -0.01584 curvature
2 -2 -0.05204 astigmatism45
3 3 0.00122 trefoil_0
3 1 -0.04972 coma_x
3 -1 0.05604 coma_y
3 -3 0.02464 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 -0.00583 piston
1 1 -0.01151 tilt_x
1 -1 0.01260 tilt_y
2 2 -0.10326 astigmatism_0
2 0 -0.01582 curvature
2 -2 -0.05228 astigmatism45
3 3 0.00128 trefoil_0
3 1 -0.04970 coma_x
3 -1 0.05738 coma_y
3 -3 0.02340 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 -0.00586 piston
1 1 -0.01152 tilt_x
1 -1 0.01316 tilt_y
2 2 -0.10381 astigmatism_0
2 0 -0.01593 curvature
2 -2 -0.05193 astigmatism45
3 3 0.00087 trefoil_0
3 1 -0.04979 coma_x
3 -1 0.05889 coma_y
3 -3 0.02443 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 -0.00592 piston
1 1 -0.01122 tilt_x
1 -1 0.01286 tilt_y
2 2 -0.10664 astigmatism_0
2 0 -0.01612 curvature
2 -2 -0.05095 astigmatism45
3 3 0.00198 trefoil_0
3 1 -0.04912 coma_x
3 -1 0.05826 coma_y
3 -3 0.02558 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: 22.8 21.3 17.6 22.2 21.4 24.2 34.1 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.3 21.2 17.5 22 21.4 22.2 29.4 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.43 4.29 5.55 6.24 6.85 8.62 12.6 8.59
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 21.6 17.8 22.4 21.6 24.3 34.1 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.3 21.4 17.6 22.2 21.6 22.2 29.4 24.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.42 4.28 5.54 6.23 6.85 8.62 12.6 8.58
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 21.6 18.1 22.7 21.6 24.1 34.1 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 21.4 17.9 22.5 21.5 22.2 29.5 24.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.42 4.27 5.52 6.19 6.78 8.51 12.5 8.49
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.6 18.9 23.2 21.4 24 34.3 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21.4 18.8 23 21.4 22.2 29.7 24.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.32 5.58 6.22 6.75 8.42 12.4 8.45
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.8 18.9 22.7 21.4 24.1 34.3 26.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 21.6 18.7 22.6 21.3 22.2 29.7 24.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.32 5.58 6.21 6.71 8.36 12.3 8.41
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 21.8 17.7 22.3 21.3 24.2 34 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 21.7 17.5 22.1 21.3 22.2 29.4 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.47 4.35 5.62 6.26 6.8 8.49 12.5 8.51
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23 21.7 17.6 22.1 21.4 24.2 34 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 21.4 17.4 21.9 21.4 22.2 29.3 24.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.49 4.39 5.67 6.32 6.87 8.58 12.6 8.6
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 21.6 18.2 21.9 21.6 23.9 34 26
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.7 21.3 17.9 21.7 21.6 22 29.3 24.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.45 4.32 5.59 6.24 6.8 8.51 12.5 8.51
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 22 18.8 22.1 21.3 23.8 34.1 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.7 18.6 22 21.4 22 29.5 24.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.4 4.23 5.48 6.14 6.7 8.4 12.3 8.38
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 22.1 19.4 22.9 21.1 23.8 34.1 26.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.8 19.2 22.8 21.1 22 29.5 24.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.39 4.22 5.46 6.12 6.71 8.41 12.3 8.39
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.8 18.1 23.4 21.1 24.2 34 26.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.8 21.5 17.9 23.4 21.1 22.2 29.4 24.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.35 4.16 5.4 6.11 6.78 8.56 12.5 8.48
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.9 21.6 17.5 22.8 21.2 24.3 34 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.4 21.3 17.4 22.7 21.3 22.3 29.4 24.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.32 4.11 5.34 6.06 6.75 8.55 12.4 8.45
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.9 21.7 17.7 22.1 21.3 24 34.1 26
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.3 21.4 17.5 21.9 21.4 22.1 29.4 24.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.31 4.1 5.33 6.04 6.73 8.51 12.4 8.41
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 21.7 19 21.7 21.3 23.9 34.2 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 21.4 18.8 21.6 21.4 22.1 29.5 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.34 4.14 5.37 6.05 6.67 8.39 12.2 8.34
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 21.7 19.3 22.1 21.2 23.9 34.2 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.6 21.4 19.1 22 21.2 22.1 29.5 24.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.38 4.2 5.44 6.11 6.71 8.42 12.3 8.4
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 22 17.7 22.4 21.2 24.1 34 26.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 22.5 21.7 17.5 22.3 21.2 22.1 29.4 24.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.35 4.16 5.41 6.12 6.79 8.58 12.5 8.49
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 22.3 21 16.6 20 20.3 23 33.3 25
Mean deviation is -2.6403001826834753 microns
Taper = 10 dB, Ruze illumination-weighted rms = 24.4 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 22.0 micron
Centre pixel: 128.0 128.0 Value = 13117.8 (estimate), 15687.6 (perfect)
Strehl = 0.69921
Strehl ratio estimate = 0.6992
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 21.3 micron
Centre pixel: 128.0 128.0 Value = 11356.7 (estimate), 15687.6 (perfect)
Strehl = 0.524074
Strehl ratio estimate = 0.5241
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 -29.9 -1.6 -2.7 30.0
2 1 2 -31.8 1.0 -3.6 32.0
3 1 3 -40.9 -2.3 -18.1 44.8
4 1 4 -43.4 -8.5 -1.2 44.2
5 1 5 -40.0 -15.5 -22.6 48.5
6 1 6 -49.4 -30.3 -30.8 65.6
7 1 7 -39.7 -32.8 -29.5 59.3
8 1 8 -39.3 -24.6 -11.8 47.8
9 1 9 -75.3 -8.8 -2.8 75.9
10 1 10 -31.2 -10.2 -5.1 33.2
11 1 11 -33.5 -6.6 -5.6 34.6
12 1 12 -7.5 1.1 -2.8 8.1
13 2 1 -6.8 10.4 10.4 16.2
14 2 2 -4.3 12.8 11.8 17.9
15 2 3 -5.0 9.8 11.8 16.1
16 2 4 -7.5 12.3 8.4 16.6
17 2 5 -14.2 9.2 6.2 18.0
18 2 6 -14.7 13.8 12.9 23.9
19 2 7 -15.9 6.3 12.5 21.2
20 2 8 8.5 24.9 6.7 27.2
21 2 9 -25.3 5.9 3.0 26.2
22 2 10 -20.7 2.6 -7.8 22.3
23 2 11 -19.8 -4.0 -6.1 21.1
24 2 12 -25.8 -1.3 -8.9 27.3
25 2 13 -26.6 -14.2 -10.3 31.9
26 2 14 -20.8 -7.3 -10.2 24.2
27 2 15 -25.2 -2.8 -2.6 25.5
28 2 16 -22.2 -2.2 4.1 22.7
29 2 17 -10.0 -3.2 6.8 12.5
30 2 18 -7.7 5.3 11.4 14.7
31 2 19 -4.9 11.3 15.5 19.8
32 2 20 -11.9 12.3 6.7 18.4
33 2 21 -7.4 2.2 4.2 8.8
34 2 22 1.9 11.5 5.7 12.9
35 2 23 5.3 1.1 4.0 6.7
36 2 24 -7.0 -4.6 13.0 15.5
37 3 1 4.4 11.3 28.5 31.0
38 3 2 4.0 8.4 22.0 23.9
39 3 3 3.7 11.4 16.1 20.0
40 3 4 9.8 13.2 12.1 20.5
41 3 5 8.6 11.2 9.5 17.0
42 3 6 10.4 11.1 13.3 20.2
43 3 7 14.4 10.1 13.5 22.2
44 3 8 6.7 14.0 19.8 25.2
45 3 9 7.0 15.3 19.7 25.9
46 3 10 8.3 14.1 17.8 24.1
47 3 11 7.8 14.3 8.4 18.4
48 3 12 7.9 22.6 7.6 25.1
49 3 13 8.8 18.2 10.8 22.9
50 3 14 11.5 6.6 0.2 13.2
51 3 15 1.2 6.2 2.3 6.7
52 3 16 7.0 7.7 10.3 14.7
53 3 17 0.0 8.2 2.5 8.6
54 3 18 -3.6 4.6 11.0 12.5
55 3 19 -3.1 4.8 10.4 11.9
56 3 20 1.9 4.1 6.6 8.0
57 3 21 -5.1 6.0 -0.5 7.8
58 3 22 -4.5 -2.9 -0.8 5.4
59 3 23 -2.1 -0.7 -2.5 3.3
60 3 24 -7.4 -3.4 1.1 8.2
61 3 25 -4.0 -2.5 -0.5 4.7
62 3 26 -10.2 -4.8 -4.8 12.3
63 3 27 -1.6 -4.5 -4.4 6.5
64 3 28 -4.4 -1.0 -3.6 5.8
65 3 29 -1.2 -0.3 -2.2 2.5
66 3 30 -3.1 -22.3 1.0 22.5
67 3 31 -5.9 -1.1 3.4 6.9
68 3 32 -1.1 5.2 4.3 6.8
69 3 33 4.7 3.6 1.6 6.2
70 3 34 -1.3 7.7 5.5 9.6
71 3 35 10.9 2.0 7.8 13.5
72 3 36 -1.7 16.6 7.0 18.1
73 3 37 12.7 21.2 7.7 25.9
74 3 38 6.2 8.9 6.8 12.8
75 3 39 10.7 1.1 18.0 21.0
76 3 40 5.1 9.7 13.7 17.5
77 3 41 5.8 7.6 1.9 9.8
78 3 42 2.7 5.4 4.7 7.7
79 3 43 2.9 3.4 2.6 5.2
80 3 44 8.8 4.5 -0.5 9.9
81 3 45 5.4 3.7 5.8 8.8
82 3 46 5.5 5.0 12.4 14.4
83 3 47 5.6 4.7 22.8 23.9
84 3 48 1.3 9.6 21.4 23.5
85 4 1 17.1 9.8 7.5 21.1
86 4 2 12.5 12.8 9.2 20.1
87 4 3 19.3 12.0 14.7 27.1
88 4 4 13.0 12.7 11.8 21.7
89 4 5 14.2 13.5 11.2 22.5
90 4 6 8.3 13.6 13.3 20.7
91 4 7 7.3 12.0 13.9 19.8
92 4 8 12.6 13.7 0.6 18.6
93 4 9 18.4 17.8 11.9 28.2
94 4 10 18.0 10.0 13.2 24.4
95 4 11 10.3 15.4 1.8 18.6
96 4 12 18.3 10.8 11.2 24.0
97 4 13 9.0 13.7 0.5 16.5
98 4 14 7.9 5.2 -2.9 9.9
99 4 15 1.5 1.6 0.5 2.3
100 4 16 -0.8 2.9 1.0 3.2
101 4 17 9.2 3.6 0.6 9.9
102 4 18 4.0 1.8 -0.8 4.5
103 4 19 7.8 5.3 8.1 12.5
104 4 20 9.2 6.5 9.7 14.9
105 4 21 9.6 3.6 11.3 15.3
106 4 22 10.6 -0.1 3.1 11.1
107 4 23 3.7 3.2 2.6 5.5
108 4 24 5.6 1.4 2.8 6.4
109 4 25 5.3 1.8 43.3 43.7
110 4 26 3.4 0.1 3.9 5.2
111 4 27 -2.0 -3.0 -7.7 8.5
112 4 28 -2.2 -0.3 -1.1 2.4
113 4 29 1.0 0.1 -49.5 49.5
114 4 30 -3.2 -2.4 -2.7 4.8
115 4 31 2.6 -4.6 -3.0 6.1
116 4 32 7.3 0.9 -8.9 11.6
117 4 33 0.5 3.0 -2.3 3.8
118 4 34 2.7 4.0 -5.9 7.6
119 4 35 4.0 1.8 1.5 4.6
120 4 36 15.6 13.4 11.2 23.4
121 4 37 14.1 6.6 5.5 16.5
122 4 38 -1.1 6.7 -0.3 6.8
123 4 39 9.5 1.9 6.1 11.5
124 4 40 9.8 4.9 -3.5 11.5
125 4 41 2.1 -3.4 -8.7 9.6
126 4 42 -2.0 5.8 0.9 6.2
127 4 43 -2.2 5.1 16.4 17.4
128 4 44 6.0 10.3 3.1 12.3
129 4 45 11.1 9.7 5.4 15.7
130 4 46 12.0 8.4 3.8 15.1
131 4 47 12.1 8.9 3.1 15.3
132 4 48 13.2 9.2 5.4 17.0
133 5 1 9.0 7.1 15.5 19.3
134 5 2 6.3 9.5 10.6 15.6
135 5 3 14.6 6.5 7.1 17.5
136 5 4 4.8 10.0 14.2 18.0
137 5 5 9.7 7.0 9.1 15.0
138 5 6 14.3 3.3 3.0 15.0
139 5 7 16.0 1.9 -3.8 16.5
140 5 8 8.0 4.1 4.2 9.9
141 5 9 3.5 1.4 -0.7 3.9
142 5 10 11.1 5.0 -3.3 12.6
143 5 11 0.3 6.5 -7.9 10.2
144 5 12 2.7 2.4 -9.4 10.1
145 5 13 3.6 -1.3 -4.7 6.0
146 5 14 -2.3 -2.4 -11.0 11.5
147 5 15 -1.1 -5.1 -8.9 10.3
148 5 16 -2.2 -6.0 -9.6 11.5
149 5 17 8.5 -3.0 -6.4 11.1
150 5 18 2.0 -2.0 199.5 199.5
151 5 19 0.3 0.5 5.9 5.9
152 5 20 7.2 4.1 -1.4 8.4
153 5 21 6.8 4.9 3.0 9.0
154 5 22 5.3 9.5 3.0 11.3
155 5 23 4.1 7.9 8.8 12.5
156 5 24 8.1 8.4 6.0 13.1
157 5 25 3.1 6.4 8.7 11.2
158 5 26 -1.1 0.9 7.6 7.7
159 5 27 3.8 7.2 8.1 11.4
160 5 28 -1.8 8.8 17.4 19.6
161 5 29 -4.5 7.6 11.8 14.8
162 5 30 -1.9 -0.0 6.1 6.4
163 5 31 1.4 0.1 -0.6 1.5
164 5 32 -3.3 -5.2 -3.6 7.1
165 5 33 0.4 -6.2 -1.2 6.3
166 5 34 -2.3 -4.6 -7.6 9.2
167 5 35 1.4 -6.7 -8.1 10.6
168 5 36 17.7 -4.3 8.4 20.0
169 5 37 4.5 -6.7 -1.6 8.3
170 5 38 -3.7 -3.3 -14.8 15.6
171 5 39 1.8 -5.3 -13.9 15.0
172 5 40 -9.8 -10.7 -12.9 19.4
173 5 41 1.5 -12.9 6.8 14.7
174 5 42 6.7 -1.5 -6.2 9.3
175 5 43 7.0 -0.9 1.5 7.2
176 5 44 4.6 -2.2 -6.0 7.9
177 5 45 6.8 -4.6 2.8 8.7
178 5 46 7.5 -1.6 -4.0 8.6
179 5 47 2.3 0.6 6.3 6.7
180 5 48 3.1 10.1 5.4 11.9
181 6 1 11.4 7.9 24.6 28.3
182 6 2 12.6 15.0 20.3 28.2
183 6 3 -2.5 10.8 10.4 15.2
184 6 4 6.5 6.9 7.9 12.4
185 6 5 4.7 5.8 -1.6 7.6
186 6 6 4.7 -4.6 1.2 6.7
187 6 7 -5.0 -5.1 -10.1 12.3
188 6 8 5.0 -10.9 -13.7 18.2
189 6 9 5.5 -12.2 -16.8 21.5
190 6 10 2.9 -14.3 -13.4 19.8
191 6 11 -6.0 -17.1 -24.1 30.2
192 6 12 -7.3 -19.2 -20.9 29.3
193 6 13 -1.6 -14.7 -22.8 27.2
194 6 14 -10.0 -19.7 -23.7 32.4
195 6 15 6.1 -18.5 -27.8 33.9
196 6 16 8.9 -14.1 -22.5 27.9
197 6 17 3.5 -14.9 -11.7 19.3
198 6 18 0.8 -9.6 -4.6 10.7
199 6 19 -0.7 -6.1 -8.3 10.3
200 6 20 2.7 -0.6 -8.9 9.3
201 6 21 8.8 5.4 -3.5 10.9
202 6 22 -1.9 11.2 5.3 12.5
203 6 23 7.6 16.8 7.5 19.9
204 6 24 9.2 15.6 14.4 23.2
205 6 25 11.2 15.0 24.5 30.9
206 6 26 15.2 19.9 19.5 31.7
207 6 27 20.8 21.2 29.9 42.2
208 6 28 16.7 16.1 25.1 34.2
209 6 29 35.5 24.1 20.9 47.7
210 6 30 21.0 3.6 47.8 52.3
211 6 31 -0.1 5.7 -3.2 6.6
212 6 32 5.9 -6.8 -5.7 10.7
213 6 33 -5.9 -8.4 -14.0 17.4
214 6 34 1.8 0.2 -0.1 1.8
215 6 35 -7.3 -9.0 -17.4 20.9
216 6 36 2.7 17.7 -13.1 22.2
217 6 37 -5.8 -7.6 -17.6 20.1
218 6 38 -13.1 -13.7 -21.1 28.4
219 6 39 -9.8 -18.4 -20.8 29.5
220 6 40 -3.7 -14.8 -11.3 19.0
221 6 41 -7.2 -15.1 -13.8 21.7
222 6 42 -6.3 -17.9 -17.7 26.0
223 6 43 -4.5 -17.3 -20.7 27.3
224 6 44 -10.3 -7.1 -11.1 16.7
225 6 45 -6.5 -11.9 -3.6 14.0
226 6 46 -11.4 6.5 -2.0 13.3
227 6 47 9.0 4.4 12.8 16.2
228 6 48 8.0 3.0 20.8 22.5
229 7 1 9.6 -3.7 5.4 11.7
230 7 2 13.1 5.7 15.1 20.8
231 7 3 14.8 2.2 13.1 19.9
232 7 4 10.6 -2.8 12.7 16.8
233 7 5 8.7 2.3 7.3 11.5
234 7 6 5.3 -12.1 8.3 15.6
235 7 7 -16.9 -11.5 -30.6 36.8
236 7 8 -17.7 -37.7 -70.1 81.5
237 7 9 -23.4 -33.8 -57.9 71.0
238 7 10 -20.7 -42.3 -56.9 73.8
239 7 11 -28.7 -36.4 -62.0 77.4
240 7 12 -27.3 -46.5 -58.0 79.2
241 7 13 -23.8 -40.5 -64.3 79.6
242 7 14 -28.2 -44.7 -64.1 83.1
243 7 15 -16.7 -45.9 -51.4 70.9
244 7 16 -26.3 -30.8 -53.1 66.8
245 7 17 -14.8 -30.5 -30.9 45.9
246 7 18 -16.2 -21.7 -37.2 46.0
247 7 19 2.7 -20.6 -16.3 26.4
248 7 20 4.0 -11.2 -15.5 19.5
249 7 21 3.6 -18.9 -17.8 26.2
250 7 22 14.1 -44.0 -24.2 52.2
251 7 23 7.6 -7.5 -24.0 26.3
252 7 24 6.8 7.7 -22.7 24.9
253 7 25 24.5 10.5 11.5 29.1
254 7 26 12.7 18.2 7.0 23.3
255 7 27 28.3 20.0 13.4 37.1
256 7 28 19.7 13.0 278.0 279.0
257 7 29 29.5 8.7 15.2 34.3
258 7 30 16.3 -4.1 12.1 20.7
259 7 31 10.7 1.1 7.1 12.8
260 7 32 -0.4 -8.3 2.8 8.8
261 7 33 -12.3 -16.8 -20.1 29.0
262 7 34 -11.9 -28.1 -32.6 44.6
263 7 35 -16.2 -29.4 -32.0 46.4
264 7 36 -15.9 -21.3 -36.4 45.1
265 7 37 -11.2 -26.4 -36.0 46.0
266 7 38 -16.4 -24.1 -38.8 48.5
267 7 39 -12.9 -29.5 -37.9 49.7
268 7 40 -22.6 -24.6 -34.0 47.7
269 7 41 -19.1 -29.9 -43.5 56.1
270 7 42 -25.9 -27.4 -47.3 60.5
271 7 43 -43.8 -32.1 -26.3 60.3
272 7 44 -5.3 -14.1 -28.0 31.8
273 7 45 2.1 -24.5 -23.6 34.0
274 7 46 3.3 -15.2 -27.6 31.6
275 7 47 5.5 -15.7 -6.6 17.9
276 7 48 -8.2 164.4 -16.1 165.4
Creating sector-motor-move file
sector motor steps
1 1 3
1 2 0
1 3 3
1 4 2
1 5 2
1 6 2
1 7 4
1 8 0
1 9 4
1 10 3
1 11 3
1 12 0
1 13 4
1 14 1
1 15 4
1 16 6
1 17 4
1 18 3
1 19 1
1 20 -1
1 21 2
1 22 7
1 23 2
1 24 3
1 25 4
1 26 3
1 27 1
1 28 3
1 29 3
1 30 3
1 31 2
1 32 1
1 33 4
1 34 4
1 35 3
1 36 5
1 37 3
1 38 2
1 39 1
1 40 2
1 41 3
1 42 3
1 43 4
1 44 2
1 45 2
1 46 2
1 47 2
1 48 5
1 49 4
1 50 3
1 51 1
1 52 3
1 53 3
1 54 -1
1 55 6
1 56 2
1 57 1
1 58 0
1 59 -9
1 60 0
1 61 8
1 62 3
1 63 1
1 64 2
1 65 -2
1 66 3
1 67 3
1 68 4
1 69 3
2 1 -21
2 2 -11
2 3 -5
2 4 -4
2 5 -3
2 6 1
2 7 -9
2 8 -3
2 9 -5
2 10 -3
2 11 -1
2 12 -1
2 13 2
2 14 -3
2 15 1
2 16 0
2 17 -1
2 18 1
2 19 2
2 20 0
2 21 2
2 22 0
2 23 1
2 24 1
2 25 1
2 26 1
2 27 2
2 28 0
2 29 4
2 30 3
2 31 -1
2 32 0
2 33 4
2 34 4
2 35 3
2 36 2
2 37 0
2 38 1
2 39 4
2 40 4
2 41 4
2 42 2
2 43 2
2 44 2
2 45 2
2 46 3
2 47 4
2 48 4
2 49 4
2 50 3
2 51 4
2 52 2
2 53 3
2 54 -2
2 55 4
2 56 3
2 57 3
2 58 0
2 59 -9
2 60 -1
2 61 2
2 62 3
2 63 2
2 64 2
2 65 -1
2 66 3
2 67 6
2 68 4
2 69 2
3 1 -17
3 2 -14
3 3 -8
3 4 -6
3 5 -5
3 6 -2
3 7 -19
3 8 -11
3 9 -8
3 10 -7
3 11 -5
3 12 -1
3 13 -17
3 14 -12
3 15 -6
3 16 -4
3 17 -4
3 18 0
3 19 -17
3 20 -10
3 21 -7
3 22 -5
3 23 -3
3 24 1
3 25 -2
3 26 0
3 27 0
3 28 3
3 29 3
3 30 5
3 31 -2
3 32 1
3 33 0
3 34 0
3 35 4
3 36 3
3 37 -1
3 38 1
3 39 3
3 40 4
3 41 3
3 42 5
3 43 0
3 44 0
3 45 1
3 46 3
3 47 5
3 48 5
3 49 2
3 50 4
3 51 2
3 52 3
3 53 4
3 54 -4
3 55 5
3 56 4
3 57 2
3 58 0
3 59 -12
3 60 -5
3 61 6
3 62 4
3 63 2
3 64 1
3 65 -4
3 66 1
3 67 2
3 68 6
3 69 2
4 1 -16
4 2 -9
4 3 -8
4 4 -6
4 5 -4
4 6 2
4 7 -15
4 8 -14
4 9 -5
4 10 -8
4 11 -5
4 12 1
4 13 -19
4 14 -13
4 15 -8
4 16 -7
4 17 -6
4 18 -3
4 19 -19
4 20 -12
4 21 -7
4 22 -6
4 23 -4
4 24 0
4 25 -2
4 26 -1
4 27 0
4 28 0
4 29 0
4 30 0
4 31 -2
4 32 -1
4 33 0
4 34 0
4 35 0
4 36 0
4 37 -3
4 38 0
4 39 0
4 40 0
4 41 1
4 42 2
4 43 -1
4 44 0
4 45 1
4 46 0
4 47 4
4 48 2
4 49 0
4 50 1
4 51 0
4 52 2
4 53 7
4 54 2
4 55 0
4 56 2
4 57 3
4 58 -2
4 59 -13
4 60 0
4 61 3
4 62 5
4 63 2
4 64 1
4 65 -4
4 66 3
4 67 3
4 68 2
4 69 2
5 1 -4
5 2 -3
5 3 1
5 4 -2
5 5 0
5 6 0
5 7 -5
5 8 -6
5 9 0
5 10 -2
5 11 -1
5 12 0
5 13 -11
5 14 -6
5 15 -4
5 16 -1
5 17 -2
5 18 0
5 19 -9
5 20 -9
5 21 -4
5 22 -3
5 23 -4
5 24 1
5 25 0
5 26 1
5 27 2
5 28 2
5 29 1
5 30 2
5 31 1
5 32 0
5 33 0
5 34 2
5 35 1
5 36 2
5 37 61
5 38 0
5 39 0
5 40 0
5 41 0
5 42 1
5 43 -1
5 44 0
5 45 2
5 46 0
5 47 1
5 48 2
5 49 3
5 50 1
5 51 0
5 52 -2
5 53 0
5 54 -6
5 55 3
5 56 1
5 57 -1
5 58 -4
5 59 -12
5 60 -6
5 61 0
5 62 2
5 63 0
5 64 -1
5 65 -7
5 66 0
5 67 2
5 68 1
5 69 0
6 1 -6
6 2 2
6 3 2
6 4 4
6 5 4
6 6 2
6 7 -7
6 8 -2
6 9 2
6 10 2
6 11 5
6 12 2
6 13 -7
6 14 -13
6 15 4
6 16 1
6 17 3
6 18 0
6 19 -5
6 20 -5
6 21 1
6 22 -1
6 23 1
6 24 2
6 25 1
6 26 2
6 27 2
6 28 0
6 29 0
6 30 1
6 31 2
6 32 2
6 33 1
6 34 0
6 35 0
6 36 1
6 37 0
6 38 2
6 39 1
6 40 0
6 41 0
6 42 3
6 43 0
6 44 1
6 45 2
6 46 3
6 47 1
6 48 2
6 49 0
6 50 0
6 51 0
6 52 -2
6 53 0
6 54 -7
6 55 0
6 56 0
6 57 -1
6 58 -9
6 59 -15
6 60 -9
6 61 0
6 62 1
6 63 -1
6 64 -4
6 65 -6
6 66 -1
6 67 0
6 68 -1
6 69 -2
7 1 85
7 2 3
7 3 6
7 4 7
7 5 4
7 6 5
7 7 4
7 8 6
7 9 8
7 10 9
7 11 6
7 12 6
7 13 2
7 14 5
7 15 3
7 16 5
7 17 6
7 18 4
7 19 3
7 20 3
7 21 7
7 22 7
7 23 4
7 24 3
7 25 5
7 26 2
7 27 0
7 28 0
7 29 0
7 30 0
7 31 2
7 32 2
7 33 1
7 34 -2
7 35 0
7 36 0
7 37 2
7 38 0
7 39 0
7 40 1
7 41 0
7 42 1
7 43 2
7 44 1
7 45 0
7 46 13
7 47 0
7 48 1
7 49 -1
7 50 -1
7 51 0
7 52 -3
7 53 -2
7 54 -6
7 55 -1
7 56 -1
7 57 -3
7 58 -10
7 59 -12
7 60 -9
7 61 0
7 62 0
7 63 -1
7 64 0
7 65 -8
7 66 -3
7 67 -1
7 68 0
7 69 -1
8 1 0
8 2 -2
8 3 0
8 4 -1
8 5 -2
8 6 1
8 7 2
8 8 0
8 9 3
8 10 0
8 11 1
8 12 0
8 13 3
8 14 -1
8 15 5
8 16 14
8 17 1
8 18 6
8 19 4
8 20 2
8 21 9
8 22 6
8 23 7
8 24 10
8 25 -1
8 26 -1
8 27 -1
8 28 -2
8 29 0
8 30 2
8 31 0
8 32 0
8 33 0
8 34 0
8 35 -1
8 36 0
8 37 1
8 38 0
8 39 0
8 40 0
8 41 0
8 42 0
8 43 3
8 44 2
8 45 -1
8 46 -15
8 47 0
8 48 0
8 49 1
8 50 0
8 51 -1
8 52 1
8 53 0
8 54 -6
8 55 0
8 56 -6
8 57 0
8 58 -7
8 59 -12
8 60 -3
8 61 0
8 62 0
8 63 0
8 64 0
8 65 -7
8 66 0
8 67 1
8 68 1
8 69 0
9 1 -11
9 2 -6
9 3 -4
9 4 -4
9 5 5
9 6 0
9 7 -9
9 8 -9
9 9 -4
9 10 -5
9 11 -2
9 12 -2
9 13 -9
9 14 -8
9 15 -3
9 16 0
9 17 0
9 18 0
9 19 -6
9 20 -5
9 21 -3
9 22 -4
9 23 -2
9 24 -1
9 25 2
9 26 -1
9 27 5
9 28 3
9 29 4
9 30 4
9 31 -2
9 32 -2
9 33 0
9 34 0
9 35 0
9 36 1
9 37 -2
9 38 -1
9 39 0
9 40 -1
9 41 1
9 42 0
9 43 0
9 44 -1
9 45 0
9 46 0
9 47 0
9 48 0
9 49 2
9 50 0
9 51 3
9 52 3
9 53 1
9 54 -2
9 55 1
9 56 2
9 57 0
9 58 -2
9 59 -23
9 60 0
9 61 0
9 62 1
9 63 1
9 64 3
9 65 -3
9 66 2
9 67 2
9 68 5
9 69 0
10 1 -10
10 2 -7
10 3 -6
10 4 -3
10 5 -4
10 6 -1
10 7 -11
10 8 -9
10 9 -3
10 10 -6
10 11 -5
10 12 -3
10 13 -11
10 14 -7
10 15 -5
10 16 -6
10 17 -4
10 18 -4
10 19 -11
10 20 -8
10 21 -3
10 22 -5
10 23 -2
10 24 -1
10 25 -3
10 26 -3
10 27 -3
10 28 -1
10 29 1
10 30 3
10 31 -4
10 32 -1
10 33 0
10 34 1
10 35 0
10 36 2
10 37 -4
10 38 -1
10 39 -1
10 40 0
10 41 2
10 42 0
10 43 0
10 44 -2
10 45 1
10 46 1
10 47 2
10 48 4
10 49 5
10 50 0
10 51 3
10 52 2
10 53 3
10 54 -3
10 55 2
10 56 2
10 57 1
10 58 -3
10 59 -9
10 60 -1
10 61 2
10 62 6
10 63 3
10 64 0
10 65 -1
10 66 4
10 67 4
10 68 2
10 69 1
11 1 -8
11 2 -4
11 3 -1
11 4 -3
11 5 -2
11 6 -3
11 7 -8
11 8 -9
11 9 -13
11 10 -6
11 11 -5
11 12 -1
11 13 -14
11 14 -8
11 15 -7
11 16 -5
11 17 -5
11 18 -1
11 19 -13
11 20 -9
11 21 -5
11 22 -4
11 23 -4
11 24 -2
11 25 -1
11 26 0
11 27 1
11 28 0
11 29 3
11 30 1
11 31 0
11 32 0
11 33 2
11 34 5
11 35 1
11 36 0
11 37 -1
11 38 0
11 39 2
11 40 0
11 41 1
11 42 0
11 43 2
11 44 -3
11 45 0
11 46 -2
11 47 -1
11 48 0
11 49 0
11 50 1
11 51 0
11 52 1
11 53 3
11 54 0
11 55 1
11 56 1
11 57 0
11 58 -2
11 59 -10
11 60 -1
11 61 0
11 62 2
11 63 1
11 64 0
11 65 -2
11 66 1
11 67 0
11 68 1
11 69 2
12 1 -4
12 2 50
12 3 -2
12 4 6
12 5 0
12 6 2
12 7 -2
12 8 -4
12 9 1
12 10 3
12 11 1
12 12 2
12 13 -8
12 14 -4
12 15 0
12 16 0
12 17 2
12 18 -3
12 19 -7
12 20 -7
12 21 0
12 22 -1
12 23 -3
12 24 -1
12 25 1
12 26 3
12 27 0
12 28 1
12 29 2
12 30 4
12 31 1
12 32 0
12 33 0
12 34 0
12 35 2
12 36 3
12 37 -1
12 38 0
12 39 2
12 40 1
12 41 2
12 42 3
12 43 0
12 44 -1
12 45 2
12 46 1
12 47 2
12 48 3
12 49 6
12 50 1
12 51 1
12 52 4
12 53 -1
12 54 -2
12 55 3
12 56 1
12 57 1
12 58 0
12 59 -2
12 60 0
12 61 1
12 62 1
12 63 1
12 64 3
12 65 1
12 66 1
12 67 6
12 68 2
12 69 0
Adjuster movements: rms = 20.4 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050126-122825
Creating HTML output file of plots
Plotting summary text