Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Gain plots fail after 2x2GJones calibration #24

Open
bennahugo opened this issue Feb 24, 2017 · 0 comments
Open

Gain plots fail after 2x2GJones calibration #24

bennahugo opened this issue Feb 24, 2017 · 0 comments

Comments

@bennahugo
Copy link
Contributor

@SpheMakh Have you recently made any gain plots after cal?

/usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
### Starting meqserver
### Attaching to configuration file /code/tdlconf.profiles
### Loading config section stefcal
### Setting option ms_sel.input_column=DATA
### Setting option ms_sel.field_index=0
### Setting option ms_sel.msname=/home/hugo/msdir/1484694604.ms
### Setting option stefcal_gain.table=/home/hugo/msdir/1484694604.ms/1484694604-cal0.gain.cp
### Setting option stefcal_diffgain.freqsmooth=1
### Setting option tiggerlsm.lsm_subset=all
### Setting option stefcal_gain.freqint=40
### Setting option stefcal_gain.flag_chisq=0
### Setting option do_output=CORR_RES
### Setting option stefcal_gain.flag_ampl=1
### Setting option ms_sel.ddid_index=0
### Setting option stefcal_diffgain.timesmooth=1
### Setting option ms_rfl.read_flagsets=-stefcal
### Setting option stefcal_gain.implementation=Gain2x2
### Setting option stefcal_gain.flag_chisq_threshold=10
### Setting option ms_rfl.read_legacy_flags=1
### Setting option stefcal_gain.flag_ampl_low=0.2
### Setting option stefcal_gain.flag_ampl_high=2
### Setting option stefcal_gain.mode=solve-save
### Setting option tiggerlsm.filename=/home/hugo/output/1484694604_LSM0_SCP.lsm.html
### Setting option stefcal_gain.timeint=12
### Setting option ms_sel.output_column=CORRECTED_DATA
### Compiling /usr/lib/python2.7/dist-packages/Cattery/Calico/calico-stefcal.py
### (using previously set options)
  (Meow.MSUtils: found /usr/bin/lwimager, can use it for imaging.)
  (Meow.MSUtils: found image viewer /usr/local/bin/tigger)
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms: 27 columns, 397518 rows
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms/ANTENNA: 8 columns, 12 rows
Successful readonly open of default-locked table /home/hugo/msdir/1484694604.ms/OBSERVATION: 9 columns, 1 rows
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms/POLARIZATION: 4 columns, 1 rows
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms/DATA_DESCRIPTION: 3 columns, 1 rows
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms/SPECTRAL_WINDOW: 14 columns, 1 rows
Successful readonly open of autonoread-locked table /home/hugo/msdir/1484694604.ms/FIELD: 9 columns, 4 rows
Using LSM module from Tigger (devel) devel at /usr/local/lib/python2.7/dist-packages/Tigger (in path)
Loading /home/hugo/output/1484694604_LSM0_SCP.lsm.html: Tigger sky model
###  TDL script successfully compiled. 635 node definitions
  (of which 2 are root nodes) sent to meqserver.
### Running TDL job "stefcal"
 1.01 3.5Gb gainopts(StefCal.py:169:update_state): initializing options for B
 1.01 3.5Gb gainopts(StefCal.py:188:update_state): using float di True dd True
14.51 13.2Gb gainopts(StefCal.py:257:get_result): get_result entry
14.51 13.2Gb gainopts(GainOpts.py:215:load_initval): not loading G solutions: /home/hugo/msdir/1484694604.ms/1484694604-cal0.gain.cp does not exist
14.51 13.2Gb gainopts(StefCal.py:279:get_result): new dataset id 1
14.52 13.2Gb gainopts(GainOpts.py:279:resolve_tilings): datashape (151, 4096) expanded datashape is (156, 4120)
14.52 13.2Gb gainopts(GainOpts.py:286:resolve_tilings): gain tiling is [12, 40] smoothing is ()
14.52 13.2Gb gainopts(GainOpts.py:287:resolve_tilings): based on an LCM tiling of [12, 40]
14.52 13.2Gb gainopts(StefCal.py:404:get_result): input arrays will be expanded to shape (156, 4120) ratio 1.04
19.81 15.4Gb gainopts(StefCal.py:484:get_result): constructed internal arrays, trying to release array memory
19.82 15.4Gb gainopts(StefCal.py:487:get_result): released memory
19.82 15.4Gb gainopts(StefCal.py:494:get_result): Found 12 solvable antennas
19.82 15.4Gb gainopts(StefCal.py:495:get_result):   valid ifrs outside the solvable set:
19.82 15.4Gb gainopts(StefCal.py:496:get_result):   ifrs with no data: 22-63 08-63 10-63 31-63 15-63
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/StefCal.py:1155: RuntimeWarning: invalid value encountered in divide
  v2 = (numpy.square(delta.real).sum(0) + numpy.square(delta.imag).sum(0))/num_valid;
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/StefCal.py:1169: RuntimeWarning: divide by zero encountered in divide
  w = weight[pq] = 1/n;
20.65 15.4Gb gainopts(StefCal.py:629:get_result): 61 baselines with non-zero weights (0 with null weight, 0 have no valid data)
21.85 15.9Gb gainopts(StefCal.py:651:get_result): Found 12 solvable antennas
21.85 15.9Gb gainopts(StefCal.py:653:get_result): 13 valid visibility matrices per time/freq slot are required for a solution
21.85 15.9Gb gainopts(StefCal.py:654:get_result):    for this data chunk, Nvalid ranges from 0 to 57
21.85 15.9Gb gainopts(StefCal.py:657:get_result):    296350 of 642720 slots flagged due to insufficient visibilities
22.21 15.9Gb gainopts(StefCal.py:676:get_result): Solvable: 66 of 66 inteferometers (61 have valid data), with 12 solvable antennas
22.21 15.9Gb gainopts(GainOpts.py:297:init_solver): stefcal G solve=1 Gain2x2, using 61 solvable inteferometers
22.21 15.9Gb gainopts(GainOpts.py:298:init_solver):   solution intervals: [12, 40] smoothing kernel: ()
22.21 15.9Gb gainopts(GainOpts.py:300:init_solver):   gains will be flagged on amplitudes outside of (0.2, 2.0)
22.21 15.9Gb gainopts(GainOpts.py:305:init_solver):   default initial value is 1
22.21 15.9Gb gain2x2(Gain2x2.py:82:__init__): convergence target 1326 of 1339 real slots
22.21 15.9Gb gainopts(GainOpts.py:312:init_solver):   subshape (13, 103) tiled [13, 12, 103, 40]
22.21 15.9Gb gainopts(StefCal.py:683:get_result): ***DEBUG*** data ('01', '03') [ 0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j
  0.+0.j]
22.21 15.9Gb gainopts(StefCal.py:684:get_result): ***DEBUG*** model0 ('01', '03') [ 0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j
  0.+0.j]
22.21 15.9Gb gainopts(StefCal.py:707:get_result): ***DEBUG*** model ('01', '03') [ 0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j
  0.+0.j]
22.22 15.9Gb gainopts(StefCal.py:708:get_result): ***DEBUG*** model0 ('01', '03') [ 0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j  0.+0.j
  0.+0.j]
22.22 15.9Gb gainopts(StefCal.py:724:get_result): resetting data and model to initial values
22.22 15.9Gb gainopts(StefCal.py:751:get_result): ('01', '03') data type of data is complex64
22.22 15.9Gb gainopts(StefCal.py:752:get_result): ('01', '03') data type of model is complex64
22.22 15.9Gb gainopts(StefCal.py:777:get_result): G: solvable 1 from major loop 0 (current 0)
24.58 15.9Gb gainopts(StefCal.py:1276:run_gain_solution): solving for G, initial chisq is 35.3862308096
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/MatrixOps.py:85: RuntimeWarning: divide by zero encountered in divide
  return 1/a,0,0,1/d;
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/MatrixOps.py:85: RuntimeWarning: invalid value encountered in divide
  return 1/a,0,0,1/d;
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/MatrixOps.py:28: RuntimeWarning: invalid value encountered in multiply
  return 0 if is_null(x) or is_null(y) else x*y;
/usr/lib/python2.7/dist-packages/Cattery/Calico/OMS/StefCal/MatrixOps.py:83: RuntimeWarning: invalid value encountered in divide
  return d/det,-b/det,-c/det,a/det;
36.78 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 1: 93.13% (1247/1339) conv, 0 gfs, max update 0.722817
53.71 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 2: 93.13% (1247/1339) conv, 0 gfs, max update 0.427608
70.62 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 3: 93.13% (1247/1339) conv, 0 gfs, max update 0.302451
87.67 15.9Gb gain2x2(Gain2x2.py:265:iterate): new gain-flags:  01:80 03:89 06:57 07:69 08:37 10:79 15:44 21:21 22:68 25:55 31:50 63:39
87.67 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 4: 93.28% (1249/1339) conv, 688 gfs, max update 1.0001
104.57 15.9Gb gain2x2(Gain2x2.py:265:iterate): new gain-flags:  01:7 03:2 06:7 07:11 08:34 10:8 15:22 21:33 22:14 25:12 31:23 63:21
104.57 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 5: 96.04% (1286/1339) conv, 194 gfs, max update 0.563192
121.38 15.9Gb gain2x2(Gain2x2.py:265:iterate): new gain-flags:  01:1 06:6 07:2 08:8 15:7 21:2 22:4 25:3 31:1 63:2
121.38 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 6: 98.66% (1321/1339) conv, 36 gfs, max update 0.493204
138.22 15.9Gb gain2x2(Gain2x2.py:265:iterate): new gain-flags:  06:1 08:4 21:3 22:4 31:1 63:1
138.22 15.9Gb gainopts(StefCal.py:1287:run_gain_solution): iter 7: 99.03% (1326/1339) conv, 14 gfs, max update 0.367096
141.49 15.9Gb gainopts(StefCal.py:1323:run_gain_solution): G converged at chisq 35.626401335 (last gain update 0.367096) after 7 iterations and 116.91s
141.49 15.9Gb gainopts(StefCal.py:1358:run_gain_solution): GONE NOWHERE FAST! Final chisq 35.6264 is higher than initial chisq 35.3862. Rolling back!
141.49 15.9Gb gainopts(StefCal.py:1369:run_gain_solution):   delta-chisq were
141.49 15.9Gb gainopts(StefCal.py:1370:run_gain_solution):   convergence criteria were 0.72 0.43 0.3 1 0.56 0.49 0.37
141.50 15.9Gb gainopts(StefCal.py:1393:run_gain_solution): flagged gains per antenna: 01 3154.59%, 03 3262.14%, 06 2545.18%, 07 2939.51%, 08 2975.35%, 10 3118.75%, 15 2616.88%, 21 2115.01%, 22 3226.29%, 25 2509.34%, 31 2688.57%, 63 2258.40%
141.61 15.9Gb gainopts(StefCal.py:786:get_result): applying G-inverse to data
142.83 16.9Gb gainopts(StefCal.py:790:get_result): done
142.83 16.9Gb gainopts(StefCal.py:862:get_result): updating non-solvable IFRs
142.83 16.9Gb gainopts(StefCal.py:879:get_result): saving solutions
142.86 16.9Gb gainopts(GainOpts.py:253:flush_tables): saved 1 gain set(s) to /home/hugo/msdir/1484694604.ms/1484694604-cal0.gain.cp
142.86 16.9Gb gainopts(StefCal.py:905:get_result): checking flagging
142.97 16.9Gb gainopts(StefCal.py:918:get_result): 3.68% (19464514/37728256) data points were flagged in the stefcal process. Can take.
142.97 16.9Gb gainopts(StefCal.py:1009:get_result): computing result
143.00 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-03 (n/d: 296350 oob: 44160)
143.01 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-03 (n/d: 296350 oob: 44160)
143.03 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-03 (n/d: 296350 oob: 44160)
143.04 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-03 (n/d: 296350 oob: 44160)
143.07 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-06 (n/d: 296350 oob: 44160)
143.08 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-06 (n/d: 296350 oob: 44160)
143.10 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-06 (n/d: 296350 oob: 44160)
143.12 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-06 (n/d: 296350 oob: 44160)
143.14 16.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-07 (n/d: 296350 oob: 44160)
143.15 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-07 (n/d: 296350 oob: 44160)
143.17 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-07 (n/d: 296350 oob: 44160)
143.18 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-07 (n/d: 296350 oob: 44160)
143.21 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-08 (n/d: 296350 oob: 44160)
143.22 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-08 (n/d: 296350 oob: 44160)
143.24 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-08 (n/d: 296350 oob: 44160)
143.25 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-08 (n/d: 296350 oob: 44160)
143.27 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-10 (n/d: 296350 oob: 44160)
143.29 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-10 (n/d: 296350 oob: 44160)
143.30 17.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-10 (n/d: 296350 oob: 44160)
143.32 17.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-10 (n/d: 296350 oob: 44160)
143.34 17.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-15 (n/d: 296350 oob: 44160)
143.36 17.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-15 (n/d: 296350 oob: 44160)
143.37 17.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-15 (n/d: 296350 oob: 44160)
143.39 17.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-15 (n/d: 296350 oob: 44160)
143.41 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-21 (n/d: 296350 oob: 44160)
143.43 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-21 (n/d: 296350 oob: 44160)
143.44 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-21 (n/d: 296350 oob: 44160)
143.46 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-21 (n/d: 296350 oob: 44160)
143.48 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-22 (n/d: 296350 oob: 44160)
143.49 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-22 (n/d: 296350 oob: 44160)
143.51 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-22 (n/d: 296350 oob: 44160)
143.53 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-22 (n/d: 296350 oob: 44160)
143.55 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-25 (n/d: 296350 oob: 44160)
143.56 17.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-25 (n/d: 296350 oob: 44160)
143.58 17.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-25 (n/d: 296350 oob: 44160)
143.59 17.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-25 (n/d: 296350 oob: 44160)
143.62 17.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-31 (n/d: 296350 oob: 44160)
143.63 17.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-31 (n/d: 296350 oob: 44160)
143.65 17.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-31 (n/d: 296350 oob: 44160)
143.66 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-31 (n/d: 296350 oob: 44160)
143.69 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-63 (n/d: 296350 oob: 44160)
143.70 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-63 (n/d: 296350 oob: 44160)
143.72 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-63 (n/d: 296350 oob: 44160)
143.73 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 01-63 (n/d: 296350 oob: 44160)
143.75 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-06 (n/d: 296350 oob: 44160)
143.77 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-06 (n/d: 296350 oob: 44160)
143.78 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-06 (n/d: 296350 oob: 44160)
143.80 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-06 (n/d: 296350 oob: 44160)
143.82 17.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-07 (n/d: 296350 oob: 44160)
143.84 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-07 (n/d: 296350 oob: 44160)
143.85 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-07 (n/d: 296350 oob: 44160)
143.87 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-07 (n/d: 296350 oob: 44160)
143.89 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-08 (n/d: 296350 oob: 44160)
143.91 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-08 (n/d: 296350 oob: 44160)
143.92 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-08 (n/d: 296350 oob: 44160)
143.94 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-08 (n/d: 296350 oob: 44160)
143.96 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-10 (n/d: 296350 oob: 44160)
143.98 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-10 (n/d: 296350 oob: 44160)
143.99 17.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-10 (n/d: 296350 oob: 44160)
144.01 17.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-10 (n/d: 296350 oob: 44160)
144.03 17.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-15 (n/d: 296350 oob: 44160)
144.04 17.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-15 (n/d: 296350 oob: 44160)
144.06 17.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-15 (n/d: 296350 oob: 44160)
144.07 17.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-15 (n/d: 296350 oob: 44160)
144.09 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-21 (n/d: 296350 oob: 44160)
144.11 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-21 (n/d: 296350 oob: 44160)
144.12 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-21 (n/d: 296350 oob: 44160)
144.14 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-21 (n/d: 296350 oob: 44160)
144.16 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-22 (n/d: 296350 oob: 44160)
144.18 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-22 (n/d: 296350 oob: 44160)
144.19 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-22 (n/d: 296350 oob: 44160)
144.21 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-22 (n/d: 296350 oob: 44160)
144.23 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-25 (n/d: 296350 oob: 44160)
144.24 17.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-25 (n/d: 296350 oob: 44160)
144.26 17.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-25 (n/d: 296350 oob: 44160)
144.27 17.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-25 (n/d: 296350 oob: 44160)
144.30 17.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-31 (n/d: 296350 oob: 44160)
144.31 17.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-31 (n/d: 296350 oob: 44160)
144.32 17.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-31 (n/d: 296350 oob: 44160)
144.34 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-31 (n/d: 296350 oob: 44160)
144.36 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-63 (n/d: 296350 oob: 44160)
144.38 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-63 (n/d: 296350 oob: 44160)
144.39 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-63 (n/d: 296350 oob: 44160)
144.41 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 03-63 (n/d: 296350 oob: 44160)
144.43 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-07 (n/d: 296350 oob: 44160)
144.44 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-07 (n/d: 296350 oob: 44160)
144.46 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-07 (n/d: 296350 oob: 44160)
144.47 17.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-07 (n/d: 296350 oob: 44160)
144.49 17.9Gb gainopts(StefCal.py:1072:get_result): generated 318942 new flags in baseline 06-08 (n/d: 296350 oob: 42240)
144.51 18.0Gb gainopts(StefCal.py:1072:get_result): generated 318942 new flags in baseline 06-08 (n/d: 296350 oob: 42240)
144.52 18.0Gb gainopts(StefCal.py:1072:get_result): generated 318942 new flags in baseline 06-08 (n/d: 296350 oob: 42240)
144.54 18.0Gb gainopts(StefCal.py:1072:get_result): generated 318942 new flags in baseline 06-08 (n/d: 296350 oob: 42240)
144.56 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-10 (n/d: 296350 oob: 44160)
144.57 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-10 (n/d: 296350 oob: 44160)
144.58 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-10 (n/d: 296350 oob: 44160)
144.60 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-10 (n/d: 296350 oob: 44160)
144.62 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-15 (n/d: 296350 oob: 44160)
144.64 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-15 (n/d: 296350 oob: 44160)
144.65 18.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-15 (n/d: 296350 oob: 44160)
144.66 18.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-15 (n/d: 296350 oob: 44160)
144.69 18.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-21 (n/d: 296350 oob: 44160)
144.70 18.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-21 (n/d: 296350 oob: 44160)
144.71 18.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-21 (n/d: 296350 oob: 44160)
144.73 18.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-21 (n/d: 296350 oob: 44160)
144.75 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-22 (n/d: 296350 oob: 44160)
144.76 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-22 (n/d: 296350 oob: 44160)
144.78 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-22 (n/d: 296350 oob: 44160)
144.80 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-22 (n/d: 296350 oob: 44160)
144.82 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-25 (n/d: 296350 oob: 44160)
144.83 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-25 (n/d: 296350 oob: 44160)
144.84 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-25 (n/d: 296350 oob: 44160)
144.86 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-25 (n/d: 296350 oob: 44160)
144.88 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-31 (n/d: 296350 oob: 44160)
144.90 18.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-31 (n/d: 296350 oob: 44160)
144.91 18.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-31 (n/d: 296350 oob: 44160)
144.92 18.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-31 (n/d: 296350 oob: 44160)
144.95 18.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-63 (n/d: 296350 oob: 44160)
144.96 18.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-63 (n/d: 296350 oob: 44160)
144.97 18.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-63 (n/d: 296350 oob: 44160)
144.99 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 06-63 (n/d: 296350 oob: 44160)
145.01 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-08 (n/d: 296350 oob: 44160)
145.02 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-08 (n/d: 296350 oob: 44160)
145.04 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-08 (n/d: 296350 oob: 44160)
145.05 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-08 (n/d: 296350 oob: 44160)
145.07 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-10 (n/d: 296350 oob: 44160)
145.09 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-10 (n/d: 296350 oob: 44160)
145.10 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-10 (n/d: 296350 oob: 44160)
145.12 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-10 (n/d: 296350 oob: 44160)
145.14 18.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-15 (n/d: 296350 oob: 44160)
145.15 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-15 (n/d: 296350 oob: 44160)
145.17 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-15 (n/d: 296350 oob: 44160)
145.18 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-15 (n/d: 296350 oob: 44160)
145.20 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-21 (n/d: 296350 oob: 44160)
145.22 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-21 (n/d: 296350 oob: 44160)
145.23 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-21 (n/d: 296350 oob: 44160)
145.25 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-21 (n/d: 296350 oob: 44160)
145.27 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-22 (n/d: 296350 oob: 44160)
145.28 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-22 (n/d: 296350 oob: 44160)
145.30 18.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-22 (n/d: 296350 oob: 44160)
145.31 18.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-22 (n/d: 296350 oob: 44160)
145.33 18.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-25 (n/d: 296350 oob: 44160)
145.35 18.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-25 (n/d: 296350 oob: 44160)
145.36 18.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-25 (n/d: 296350 oob: 44160)
145.38 18.6Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-25 (n/d: 296350 oob: 44160)
145.40 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-31 (n/d: 296350 oob: 44160)
145.41 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-31 (n/d: 296350 oob: 44160)
145.43 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-31 (n/d: 296350 oob: 44160)
145.44 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-31 (n/d: 296350 oob: 44160)
145.46 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-63 (n/d: 296350 oob: 44160)
145.47 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-63 (n/d: 296350 oob: 44160)
145.49 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-63 (n/d: 296350 oob: 44160)
145.50 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 07-63 (n/d: 296350 oob: 44160)
145.52 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-10 (n/d: 296350 oob: 44160)
145.54 18.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-10 (n/d: 296350 oob: 44160)
145.55 18.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-10 (n/d: 296350 oob: 44160)
145.57 18.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-10 (n/d: 296350 oob: 44160)
145.59 18.8Gb gainopts(StefCal.py:1072:get_result): generated 320096 new flags in baseline 08-15 (n/d: 296350 oob: 43200)
145.60 18.8Gb gainopts(StefCal.py:1072:get_result): generated 320096 new flags in baseline 08-15 (n/d: 296350 oob: 43200)
145.62 18.8Gb gainopts(StefCal.py:1072:get_result): generated 320096 new flags in baseline 08-15 (n/d: 296350 oob: 43200)
145.63 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320096 new flags in baseline 08-15 (n/d: 296350 oob: 43200)
145.65 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-21 (n/d: 296350 oob: 44160)
145.67 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-21 (n/d: 296350 oob: 44160)
145.68 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-21 (n/d: 296350 oob: 44160)
145.70 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-21 (n/d: 296350 oob: 44160)
145.72 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-22 (n/d: 296350 oob: 44160)
145.73 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-22 (n/d: 296350 oob: 44160)
145.75 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-22 (n/d: 296350 oob: 44160)
145.76 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-22 (n/d: 296350 oob: 44160)
145.78 18.9Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-25 (n/d: 296350 oob: 44160)
145.79 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-25 (n/d: 296350 oob: 44160)
145.81 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-25 (n/d: 296350 oob: 44160)
145.82 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-25 (n/d: 296350 oob: 44160)
145.84 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-31 (n/d: 296350 oob: 44160)
145.86 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-31 (n/d: 296350 oob: 44160)
145.87 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-31 (n/d: 296350 oob: 44160)
145.89 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 08-31 (n/d: 296350 oob: 44160)
145.91 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-15 (n/d: 296350 oob: 44160)
145.93 19.0Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-15 (n/d: 296350 oob: 44160)
145.94 19.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-15 (n/d: 296350 oob: 44160)
145.96 19.1Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-15 (n/d: 296350 oob: 44160)
145.98 19.1Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-21 (n/d: 296350 oob: 43680)
145.99 19.1Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-21 (n/d: 296350 oob: 43680)
146.01 19.1Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-21 (n/d: 296350 oob: 43680)
146.02 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-21 (n/d: 296350 oob: 43680)
146.04 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-22 (n/d: 296350 oob: 43680)
146.06 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-22 (n/d: 296350 oob: 43680)
146.07 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-22 (n/d: 296350 oob: 43680)
146.09 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320522 new flags in baseline 10-22 (n/d: 296350 oob: 43680)
146.11 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-25 (n/d: 296350 oob: 44160)
146.12 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-25 (n/d: 296350 oob: 44160)
146.14 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-25 (n/d: 296350 oob: 44160)
146.15 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-25 (n/d: 296350 oob: 44160)
146.17 19.2Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-31 (n/d: 296350 oob: 44160)
146.19 19.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-31 (n/d: 296350 oob: 44160)
146.20 19.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-31 (n/d: 296350 oob: 44160)
146.22 19.3Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 10-31 (n/d: 296350 oob: 44160)
146.25 19.3Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-21 (n/d: 296350 oob: 43680)
146.26 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-21 (n/d: 296350 oob: 43680)
146.27 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-21 (n/d: 296350 oob: 43680)
146.29 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-21 (n/d: 296350 oob: 43680)
146.31 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 15-22 (n/d: 296350 oob: 44160)
146.32 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 15-22 (n/d: 296350 oob: 44160)
146.34 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 15-22 (n/d: 296350 oob: 44160)
146.35 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 15-22 (n/d: 296350 oob: 44160)
146.38 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-25 (n/d: 296350 oob: 43680)
146.39 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-25 (n/d: 296350 oob: 43680)
146.40 19.4Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-25 (n/d: 296350 oob: 43680)
146.42 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 15-25 (n/d: 296350 oob: 43680)
146.44 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320046 new flags in baseline 15-31 (n/d: 296350 oob: 43200)
146.45 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320046 new flags in baseline 15-31 (n/d: 296350 oob: 43200)
146.47 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320046 new flags in baseline 15-31 (n/d: 296350 oob: 43200)
146.48 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320046 new flags in baseline 15-31 (n/d: 296350 oob: 43200)
146.51 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 21-22 (n/d: 296350 oob: 44160)
146.53 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 21-22 (n/d: 296350 oob: 44160)
146.54 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 21-22 (n/d: 296350 oob: 44160)
146.56 19.5Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 21-22 (n/d: 296350 oob: 44160)
146.58 19.6Gb gainopts(StefCal.py:1072:get_result): generated 319478 new flags in baseline 21-25 (n/d: 296350 oob: 42240)
146.59 19.6Gb gainopts(StefCal.py:1072:get_result): generated 319478 new flags in baseline 21-25 (n/d: 296350 oob: 42240)
146.61 19.6Gb gainopts(StefCal.py:1072:get_result): generated 319478 new flags in baseline 21-25 (n/d: 296350 oob: 42240)
146.63 19.6Gb gainopts(StefCal.py:1072:get_result): generated 319478 new flags in baseline 21-25 (n/d: 296350 oob: 42240)
146.65 19.6Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 21-31 (n/d: 296350 oob: 43680)
146.66 19.6Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 21-31 (n/d: 296350 oob: 43680)
146.68 19.6Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 21-31 (n/d: 296350 oob: 43680)
146.70 19.6Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 21-31 (n/d: 296350 oob: 43680)
146.72 19.6Gb gainopts(StefCal.py:1072:get_result): generated 317680 new flags in baseline 21-63 (n/d: 296350 oob: 39360)
146.73 19.7Gb gainopts(StefCal.py:1072:get_result): generated 317680 new flags in baseline 21-63 (n/d: 296350 oob: 39360)
146.75 19.7Gb gainopts(StefCal.py:1072:get_result): generated 317680 new flags in baseline 21-63 (n/d: 296350 oob: 39360)
146.76 19.7Gb gainopts(StefCal.py:1072:get_result): generated 317680 new flags in baseline 21-63 (n/d: 296350 oob: 39360)
146.79 19.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-25 (n/d: 296350 oob: 44160)
146.80 19.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-25 (n/d: 296350 oob: 44160)
146.82 19.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-25 (n/d: 296350 oob: 44160)
146.83 19.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-25 (n/d: 296350 oob: 44160)
146.86 19.7Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-31 (n/d: 296350 oob: 44160)
146.87 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-31 (n/d: 296350 oob: 44160)
146.89 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-31 (n/d: 296350 oob: 44160)
146.90 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320678 new flags in baseline 22-31 (n/d: 296350 oob: 44160)
146.93 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 25-31 (n/d: 296350 oob: 43680)
146.95 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 25-31 (n/d: 296350 oob: 43680)
146.96 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 25-31 (n/d: 296350 oob: 43680)
146.98 19.8Gb gainopts(StefCal.py:1072:get_result): generated 320198 new flags in baseline 25-31 (n/d: 296350 oob: 43680)
147.00 19.8Gb gainopts(StefCal.py:1072:get_result): generated 318014 new flags in baseline 25-63 (n/d: 296350 oob: 38400)
147.02 19.9Gb gainopts(StefCal.py:1072:get_result): generated 318014 new flags in baseline 25-63 (n/d: 296350 oob: 38400)
147.03 19.9Gb gainopts(StefCal.py:1072:get_result): generated 318014 new flags in baseline 25-63 (n/d: 296350 oob: 38400)
147.05 19.9Gb gainopts(StefCal.py:1072:get_result): generated 318014 new flags in baseline 25-63 (n/d: 296350 oob: 38400)
147.06 19.9Gb gainopts(StefCal.py:1081:get_result): computing result: done
147.06 19.9Gb gainopts(StefCal.py:1117:get_result): ev.0.0.0.0.1 elapsed time 2m12.54s
2.9Gb meqserver(meqserver.py:288:stop_default_mqs): meqserver not exited yet, waiting another 10 seconds
input flagmask is
Successful read/write open of default-locked table /home/hugo/msdir/1484694604.ms: 27 columns, 397518 rows
### Job result: None
### No more commands
### Stopping the meqserver
### All your batch are belong to us. Bye!
running: /usr/bin/meqtree-pipeliner.py --mt 16 -c /code/tdlconf.profiles [stefcal] ms_sel.input_column=DATA ms_sel.field_index=0 ms_sel.msname=/home/hugo/msdir/1484694604.ms stefcal_gain.table=/home/hugo/msdir/1484694604.ms/1484694604-cal0.gain.cp stefcal_diffgain.freqsm
ooth=1 tiggerlsm.lsm_subset=all stefcal_gain.freqint=40 stefcal_gain.flag_chisq=0 do_output=CORR_RES stefcal_gain.flag_ampl=1 ms_sel.ddid_index=0 stefcal_diffgain.timesmooth=1 ms_rfl.read_flagsets=-stefcal stefcal_gain.implementation=Gain2x2 stefcal_gain.flag_chisq_thres
hold=10 ms_rfl.read_legacy_flags=1 stefcal_gain.flag_ampl_low=0.2 stefcal_gain.flag_ampl_high=2 stefcal_gain.mode=solve-save tiggerlsm.filename=/home/hugo/output/1484694604_LSM0_SCP.lsm.html stefcal_gain.timeint=12 ms_sel.output_column=CORRECTED_DATA /usr/lib/python2.7/d
ist-packages/Cattery/Calico/calico-stefcal.py =stefcal
MeqTrees Done!
Preparing to make gain plots
Successful readonly open of default-locked table /home/hugo/msdir/1484694604.ms/FEED: 12 columns, 12 rows
Extracting feed type from MS
Feed type is [YX]
Making Gain plots...
loading gain solutions from /home/hugo/msdir/1484694604.ms/1484694604-cal0.gain.cp
loaded solutions for 12 antennas, diagonal=False
Traceback (most recent call last):
  File "/code/run.py", line 202, in <module>
    run_meqtrees(msname)
  File "/code/run.py", line 190, in run_meqtrees
    plotgains.make_gain_plots(gjones_gains, prefix=gjones_plotprefix, feed_type=feed_type)
  File "/usr/local/lib/python2.7/dist-packages/Owlcat/Gainplots.py", line 121, in make_gain_plots
    if valid.any():
AttributeError: 'bool' object has no attribute 'any'
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant