========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-64/92177IPython 5.1.0 -- An enhanced Interactive Python. CASA 5.8.0-109 -- Common Astronomy Software Applications Found an existing telemetry logfile: /home/teuben/.casa/casastats-580-109-1982ac1bc21613821e-20220204-015000.log Telemetry initialized. Telemetry will send anonymized usage statistics to NRAO. You can disable telemetry by adding the following line to your ~/.casarc file: EnableTelemetry: False Adding au casaVersion = 5.8.0-109 imported casatasks and tools using taskinit * The import of casa items did not complete. You may need to update the version of analysisUtils that you are using. See https://casaguides.nrao.edu/index.php/Analysis_Utilities au: 1.4901, casa: 5.8.0 QAC: Root /home/teuben/.casa/QAC QAC: Load contrib/tp2vis.py tp2vis for CASA5 [18-jun-2020 PJT] QAC: Skip distribute/tp2vis.py QAC: Skip tp2vis/tp2vis.py QAC: Load src/qac.py Loading QAC 27-oct-2020 QAC: Load src/ssc.py QAC: Load src/plot.py qac: version 27-oct-2020 qac_root: /home/teuben/.casa/QAC casa:5.8.0 data:/an/terra_astromake/opt/casa/casa-release-5.8.0-109.el7/data ('QAC: ', None) --> CrashReporter initialized. WARNING: No ASAP; ASAPLineFinder cannot function. ('ADMIT1: Version ', '21-dec-2017', 'loglevel ', 15) ('Removing previous results from ', 'SEXTANS-A_92177.nf.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'SEXTANS-A_92177.nf.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-64/92177/SEXTANS-A_92177.nf.admit ADMIT root = /lma1/teuben/lmtoy/admit ADMIT version = 1.0.8.5 ADMIT flowcount = 1 stale = 0 ('Starting a new ADMIT using', 'SEXTANS-A_92177.nf.fits') ('Found parameter file to cp:', 'SEXTANS-A_92177.nf.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177.nf.fits'} for Ingest_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'ppp' = True for CubeStats_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'numsigma' = 4.0 for CubeSum_AT INFO : AT.py : Setting 'sigma' = 99.0 for CubeSum_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'numsigma' = 4.0 for SFind2D_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing Ingest_AT - '' (V1.2.13) INFO : INFO : INFO : Run using the following settings: INFO : box : [] INFO : file : SEXTANS-A_92177.nf.fits INFO : smooth : [] INFO : basename : x INFO : mask : True INFO : pb : INFO : edge : [] INFO : restfreq : -1.0 INFO : vlsr : -999999.9 INFO : usepb : True INFO : TIMING : Ingest ADMIT [ 2.32199000e+00 1.64394505e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 55 55 689] ALMA OBJECT = SEXTANS-A ALMA DATE-OBS = 2020-03-06T01:49:06 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 1.70578000e-01 1.77485943e-01 1.41056250e+03 2.18554688e+02] TIMING : Ingest importfits [ 1.09669000e-01 1.55076027e-01 1.41057812e+03 2.19859375e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 5.47430000e-02 7.56330490e-02 1.41310938e+03 2.22980469e+02] TIMING : Ingest summary-0 [ 1.44180000e-02 1.44751072e-02 1.41310938e+03 2.22980469e+02] TIMING : Ingest mask [ 2.76170000e-02 3.72369289e-02 1.41310938e+03 2.23324219e+02] TIMING : Ingest summary-1 [ 1.34920000e-02 1.71790123e-02 1.41310938e+03 2.23324219e+02] TIMING : Ingest statistics [ 4.46770000e-02 4.47919369e-02 1.41113281e+03 2.22570312e+02] 2022-02-04 03:24:06 WARN importfits::image::commonbeam (file ../../tools/images/image_cmpt.cc, line 753) This image only has one beam, so just returning that INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 12.6500004, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 12.6500004, 'unit': 'arcsec'}} INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 55 55 689 1] 1432431 -0.385837 0.394241 INFO : Ingest_AT.py : S/N (all data): 5.146262 INFO : Ingest_AT.py : GOOD PIXELS: 1432431/2084225 (68.727273% good or 31.272727% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.385837 0.394241 0.0766073 55 55 689 31.272727 INFO : Ingest_AT.py : TELESCOPE: LMT INFO : Ingest_AT.py : OBJECT: SEXTANS-A INFO : Ingest_AT.py : REFFREQTYPE: LSRK INFO : Ingest_AT.py : RA Axis 1: 152.783800 -5.500001 27.000000 INFO : Ingest_AT.py : DEC Axis 2: -4.704639 5.500001 27.000000 INFO : Ingest_AT.py : VLSRv = 0.000000 (from source catalog) INFO : Ingest_AT.py : VLSRz = 0.000000 +/- 0.000000 1 values: [ 0.] INFO : Ingest_AT.py : Freq Orig Axis 3: 115.016 0.000390625 0 INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.149890 fw=0.269141 GHz INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1 INFO : Ingest_AT.py : VLSRc= 315.507976 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569 INFO : Ingest_AT.py : VLSR = 315.507976 errs = 0.000000 0.000000 0.000000 width = -1.015921 TIMING : Ingest done [ 5.71171000e-01 5.86194038e-01 1.41469531e+03 2.26351562e+02] TIMING : Ingest END [ 1.018384 1.12012506] INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im INFO : INFO : INFO : Executing CubeStats_AT - '' (V1.2.3) INFO : INFO : INFO : Run using the following settings: INFO : ppp : True INFO : psample : -1 INFO : robust : [] INFO : maxvrms : 2.0 INFO : TIMING : CubeStats ADMIT [ 3.40070000e+00 1.64394505e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.27660000e-02 5.29890060e-02 1.41394531e+03 2.25921875e+02] TIMING : CubeStats start [ 1.23030000e-02 1.23450756e-02 1.41394531e+03 2.25921875e+02] TIMING : CubeStats imstat0 [ 1.20491000e-01 1.20894909e-01 1.43180469e+03 2.44351562e+02] TIMING : CubeStats imstat1 [ 1.37771000e-01 1.38224125e-01 1.43451953e+03 2.46902344e+02] INFO : CubeStats_AT.py : sigma varies from 0.069245 to 0.084276; 689/689 channels ok INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot /an/terra_astromake/opt/casa/casa-release-5.8.0-109.el7/lib/python2.7/site-packages/numpy/ma/core.py:4144: UserWarning: Warning: converting a masked element to nan. warnings.warn("Warning: converting a masked element to nan.") TIMING : CubeStats ppp [ 7.48447000e-01 7.51076937e-01 1.43451953e+03 2.47070312e+02] INFO : CubeStats_AT.py : CubeMax: 0.394241 @ [ 54 35 430 0] INFO : CubeStats_AT.py : CubeMin: -0.385837 @ [ 38 37 452 0] INFO : CubeStats_AT.py : CubeRMS: 0.076471 INFO : CubeStats_AT.py : RMS Sanity check 1.001779 REGRESSION : CST: 0.076471 1.001779 INFO : CubeStats_AT.py : mean,rms,S/N=-0.000087 0.076471 5.155416 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.128947 1.130177 /an/terra_astromake/opt/casa/casa-release-5.8.0-109.el7/lib/python2.7/site-packages/matplotlib/collections.py:446: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison if self._edgecolors == 'face': TIMING : CubeStats plotting [ 2.294078 2.46560597 1458.42578125 269.375 ] TIMING : CubeStats done [ 1.35630000e-02 1.36029720e-02 1.45842578e+03 2.69375000e+02] TIMING : CubeStats summary [ 1.22740000e-02 1.23200417e-02 1.45842578e+03 2.69375000e+02] TIMING : CubeStats END [ 3.403939 3.57934403] INFO : AT.py : BDP_OUT[0] = CubeStats_BDP x.cst INFO : INFO : INFO : Executing CubeSum_AT - '' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : linesum : True INFO : numsigma : 4.0 INFO : zoom : 1 INFO : pad : 5 INFO : sigma : 99.0 INFO : TIMING : CubeSum ADMIT [ 6.86476900e+00 1.64394505e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.076471 TIMING : CubeSum start [ 5.20410000e-02 5.21848202e-02 1.45842578e+03 2.69375000e+02] TIMING : CubeSum immoments [ 5.94290000e-02 1.02954149e-01 1.45842578e+03 2.69820312e+02] 2022-02-04 03:24:10 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.06390000e-02 2.07378864e-02 1.45842578e+03 2.69820312e+02] INFO : CubeSum_AT.py : Total flux: -17.436072 (sum=-0.576399) REGRESSION : CSM: [-17.436072072342238, -0.57639890909194946] TIMING : CubeSum implot [ 1.40625000e-01 6.06704807e+00 1.53042969e+03 2.69855469e+02] TIMING : CubeSum getdata [ 2.10950000e-02 2.11839676e-02 1.53042969e+03 2.69855469e+02] TIMING : CubeSum done [ 2.32006000e-01 2.50909090e-01 1.53042969e+03 2.69921875e+02] TIMING : CubeSum END [ 0.539322 6.52855396] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.csm INFO : INFO : INFO : Executing SFind2D_AT - 'csm' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : nmax : 30 INFO : numsigma : 4.0 INFO : snmax : 35.0 INFO : region : INFO : zoom : 1 INFO : robust : ['hin', 1.5] INFO : sigma : -1.0 INFO : TIMING : SFind2D ADMIT [ 7.46410700e+00 1.64394506e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.35030000e-02 3.36568356e-02 1.53042969e+03 2.69921875e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.06530000e-02 4.09460068e-02 1.53042969e+03 2.69921875e+02] INFO : AT.py : Setting 'sigma' = 0.329799380703 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.329799 -0.391979 0.400518 35 3.29373 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 03:24:17 WARN imstat::ImageRegion::fromRecord No sources were found TIMING : SFind2D findsources [ 9.01360000e-02 9.98880863e-02 1.53042969e+03 2.69921875e+02] REGRESSION : CONTFLUX: 0 0 INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size. INFO : SFind2D_AT.py : Restoring Beam: Major axis: 12.7 arcsec , Minor axis: 12.7 arcsec , PA: 0.0 deg TIMING : SFind2D done [ 2.59271000e-01 3.08544874e-01 1.53042969e+03 2.70378906e+02] TIMING : SFind2D END [ 0.437009 0.49652195] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 5.993481 12.38391089] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.99348 12.3839 ] ('N sources in CSM:', 0) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing CubeSpectrum_AT - '' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 8.11441000e+00 1.64394506e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[54, 35, 430],0.394241 TIMING : CubeSpectrum CubeStats-pos [ 4.89150000e-02 4.90410328e-02 1.53042969e+03 2.70378906e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[54, 35],0.400518 TIMING : CubeSpectrum Moment-pos [ 4.23310000e-02 4.24559116e-02 1.53042969e+03 2.70378906e+02] TIMING : CubeSpectrum open [ 1.21890000e-02 1.22709274e-02 1.53042969e+03 2.70378906e+02] TIMING : CubeSpectrum imval [ 4.38490000e-02 4.40480709e-02 1.53042969e+03 2.71035156e+02] TIMING : CubeSpectrum imhead [ 4.12870000e-02 4.14469242e-02 1.53042969e+03 2.71035156e+02] REGRESSION : CSP: [0.39424145221710205] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.70961000e-01 2.89096117e-01 1.53042969e+03 2.71218750e+02] TIMING : CubeSpectrum summary [ 1.23700000e-02 1.24011040e-02 1.53042969e+03 2.71218750e+02] TIMING : CubeSpectrum END [ 0.483949 0.50284004] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.csp INFO : INFO : INFO : Executing LineSegment_AT - '' (V1.2.3) INFO : INFO : INFO : Run using the following settings: INFO : numsigma : 5.0 INFO : minchan : 4 INFO : edgechannels : 0 INFO : smooth : [] INFO : recalcnoise : False INFO : maxgap : 3 INFO : csub : [0, 0] INFO : iterate : True INFO : segment : ADMIT INFO : TIMING : LineSegment ADMIT [ 8.65831500e+00 1.64394506e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.44760000e-02 2.45389938e-02 1.53042969e+03 2.71218750e+02] INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input Spectra INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineSegment getspectrum [ 7.806695 7.83232117 1530.4296875 271.70703125] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data INFO : LineSegment_AT.py : Detecting segments in CubeStats based data TIMING : LineSegment segment finder [ 2.050147 2.05600381 1530.4296875 271.70703125] INFO : LineSegment_AT.py : Segment Coverage 0 / 689 = 0 REGRESSION : LINESEG: [] TIMING : LineSegment done [ 1.52789300e+00 1.61257815e+00 1.55511328e+03 2.96339844e+02] TIMING : LineSegment END [ 11.421566 11.53783202] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 18.151468 24.72404194] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18.1515 24.724 ] Found 0 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 18.249202 24.87756991] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18.2492 24.8776 ] ('OBJECT = ', 'SEXTANS-A') ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'csub' = [0, 0] for LineID_AT INFO : AT.py : Setting 'references' = etc/tier1_lines.list for LineID_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing LineID_AT - '' (V1.2.7) INFO : INFO : INFO : Run using the following settings: INFO : numsigma : 5.0 INFO : force : [] INFO : tier1width : 0.0 INFO : online : False INFO : recomblevel : shallow INFO : references : etc/tier1_lines.list INFO : csub : [0, 0] INFO : identifylines : True INFO : iterate : True INFO : segment : ADMIT INFO : allowexotics : False INFO : minchan : 4 INFO : pattern : AUTO INFO : edgechannels : 0 INFO : smooth : [] INFO : recalcnoise : False INFO : vlsr : -999999.99 INFO : maxgap : 3 INFO : reject : [] INFO : method : {'PeakFinder': {'thresh': 0.0}} INFO : mode : ONE INFO : TIMING : LineID ADMIT [ 2.03927280e+01 1.64394507e+09] TIMING : LineID BEGIN [ 0. 0.] INFO : LineID_AT.py : Set vlsr = 315.51 for line identification. INFO : LineID_AT.py : Identifylines = True INFO : LineID_AT.py : Using vlsr = 315.508 INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra TIMING : LineID getspectrum-cubespecs [ 2.545506 2.55183887 1555.11328125 296.3984375 ] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 5.35477 5.37136912 1555.11328125 296.3984375 ] TIMING : LineID segment finder [ 1.34810000e-02 1.35450363e-02 1.55511328e+03 2.96398438e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data INFO : LineID_AT.py : Detecting segments in CubeStats based data INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder WARNING : LineID_AT.py : No lines detected by LineID. TIMING : LineID nolines [ 10.325461 10.47705388 1610.671875 352.08203125] TIMING : LineID END [ 18.253304 18.42793489] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 36.782945 43.64372802] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.7829 43.6437 ] Found 0 lines in LineID ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing LineCube_AT - '' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : equalize : False INFO : pad : 5 INFO : fpad : -1.0 INFO : TIMING : LineCube ADMIT [ 3.88798560e+01 1.64394509e+09] TIMING : LineCube BEGIN [ 0. 0.] INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting. TIMING : ADMITrun END [ 36.957132 43.88177586] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.9571 43.8818 ] Found 0 lines in LineCube ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing Moment_AT - '' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : numsigma : [2.0] INFO : moments : [0, 1, 2] INFO : mom0clip : 2.0 INFO : zoom : 1 INFO : chans : INFO : sigma : -1.0 INFO : TIMING : Moment ADMIT [ 3.91036220e+01 1.64394509e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.80040000e-02 4.81398106e-02 1.61067188e+03 3.52082031e+02] TIMING : Moment immoments-all [ 8.58230000e-02 3.72411013e-01 1.61067188e+03 3.52082031e+02] TIMING : Moment mom0clip [ 6.83900000e-02 1.04006052e-01 1.61067188e+03 3.52234375e+02] TIMING : Moment implot [ 9.65170000e-02 3.45854998e-01 1.61735547e+03 3.58792969e+02] TIMING : Moment getdata [ 2.03980000e-02 2.04799175e-02 1.61735547e+03 3.58792969e+02] TIMING : Moment ren+mask_0 [ 3.23916000e-01 3.28974009e-01 1.61833594e+03 3.59773438e+02] 2022-02-04 03:24:51 WARN ImageRegrid::regrid You are regridding an image whose beam is not well sampled by the pixel size. Total flux can be lost when regridding such images, especially when the new pixel size is larger than the old pixel size. It is recommended to check the total flux of your input and output image, and if necessary rebin the input to have smaller pixels. TIMING : Moment makemask [ 1.48661000e-01 3.99378061e-01 1.61833594e+03 3.59835938e+02] TIMING : Moment implot [ 7.78230000e-02 3.39545012e-01 1.61833594e+03 3.60683594e+02] TIMING : Moment getdata [ 2.01550000e-02 2.02260017e-02 1.61833594e+03 3.60683594e+02] TIMING : Moment ren+mask_1 [ 2.51976000e-01 2.56534100e-01 1.61683594e+03 3.59183594e+02] 2022-02-04 03:24:52 WARN ImageRegrid::regrid You are regridding an image whose beam is not well sampled by the pixel size. Total flux can be lost when regridding such images, especially when the new pixel size is larger than the old pixel size. It is recommended to check the total flux of your input and output image, and if necessary rebin the input to have smaller pixels. TIMING : Moment makemask [ 1.48329000e-01 4.60710049e-01 1.61683594e+03 3.59183594e+02] TIMING : Moment implot [ 7.67460000e-02 3.24521780e-01 1.61683594e+03 3.59183594e+02] TIMING : Moment getdata [ 1.99940000e-02 2.00572014e-02 1.61683594e+03 3.59183594e+02] TIMING : Moment ren+mask_2 [ 2.44467000e-01 2.49625921e-01 1.61583594e+03 3.58183594e+02] REGRESSION : MOM0FLUX: SPW_FULL -30.5372 92.7874 0.0330578 299.868 299.868 85.2858 TIMING : Moment mom0flux [ 5.05190000e-02 5.06689548e-02 1.61583594e+03 3.58183594e+02] TIMING : Moment flux-spectrum [ 3.84500000e-01 3.90156984e-01 1.61483594e+03 3.57183594e+02] TIMING : Moment done [ 1.46590000e-02 1.46989822e-02 1.61483594e+03 3.57183594e+02] TIMING : Moment END [ 2.093043 3.75820684] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.mom_2 TIMING : ADMITrun END [ 39.314784 47.98730803] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 39.3148 47.9873 ]