========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-64/92177_92787IPython 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_92787.nfs.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'SEXTANS-A_92177_92787.nfs.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-64/92177_92787/SEXTANS-A_92177_92787.nfs.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_92787.nfs.fits') ('Found parameter file to cp:', 'SEXTANS-A_92177_92787.nfs.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177_92787.nfs.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_92787.nfs.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 [ 2.09181000e+00 1.64394567e+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 [ 1.76460000e-01 1.83532953e-01 1.41056250e+03 2.16808594e+02] TIMING : Ingest importfits [ 1.11829000e-01 3.89761209e-01 1.41057812e+03 2.18324219e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 5.51710000e-02 1.07980967e-01 1.41308594e+03 2.21566406e+02] TIMING : Ingest summary-0 [ 1.49730000e-02 1.50089264e-02 1.41308594e+03 2.21566406e+02] TIMING : Ingest mask [ 2.75830000e-02 5.81140518e-02 1.41308594e+03 2.21566406e+02] TIMING : Ingest summary-1 [ 1.35350000e-02 1.85089111e-02 1.41308594e+03 2.21566406e+02] TIMING : Ingest statistics [ 4.74400000e-02 4.75599766e-02 1.43282422e+03 2.42207031e+02] 2022-02-04 03:34:35 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] 1951248 -0.038463 0.039287 INFO : Ingest_AT.py : S/N (all data): 8.215660 INFO : Ingest_AT.py : GOOD PIXELS: 1951248/2084225 (93.619835% good or 6.380165% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.0384628 0.0392871 0.00478198 55 55 689 6.380165 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 [ 5.63401000e-01 5.68590164e-01 1.43582422e+03 2.45660156e+02] TIMING : Ingest END [ 1.022478 1.40117812] 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 [ 3.17511100e+00 1.64394568e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.29260000e-02 5.31578064e-02 1.43482422e+03 2.45183594e+02] TIMING : CubeStats start [ 1.26620000e-02 1.27060413e-02 1.43482422e+03 2.45183594e+02] TIMING : CubeStats imstat0 [ 1.35624000e-01 1.36070967e-01 1.43283594e+03 2.43656250e+02] TIMING : CubeStats imstat1 [ 1.55635000e-01 1.56130075e-01 1.43452734e+03 2.45191406e+02] INFO : CubeStats_AT.py : sigma varies from 0.002192 to 0.004990; 689/689 channels ok WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00438435 (2.27644 > 2) 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 [ 7.80307000e-01 7.83467054e-01 1.43452734e+03 2.45355469e+02] INFO : CubeStats_AT.py : CubeMax: 0.039287 @ [45 27 6 0] INFO : CubeStats_AT.py : CubeMin: -0.038463 @ [44 34 3 0] INFO : CubeStats_AT.py : CubeRMS: 0.003739 INFO : CubeStats_AT.py : RMS Sanity check 1.278804 REGRESSION : CST: 0.003739 1.278804 INFO : CubeStats_AT.py : mean,rms,S/N=-0.000085 0.003739 10.506218 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.035849 2.104600 /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 [ 2.862356 3.0363059 1458.4453125 267.46875 ] TIMING : CubeStats done [ 1.42240000e-02 1.42619610e-02 1.45844531e+03 2.67468750e+02] TIMING : CubeStats summary [ 1.24040000e-02 1.24661922e-02 1.45844531e+03 2.67468750e+02] TIMING : CubeStats END [ 4.038373 4.2168529] 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 [ 7.27371100e+00 1.64394568e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.003739 TIMING : CubeSum start [ 5.30760000e-02 5.32791615e-02 1.45844531e+03 2.67468750e+02] TIMING : CubeSum immoments [ 6.15030000e-02 1.07358932e-01 1.45844531e+03 2.67871094e+02] 2022-02-04 03:34:40 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.04790000e-02 2.05619335e-02 1.45844531e+03 2.67871094e+02] INFO : CubeSum_AT.py : Total flux: 346.753826 (sum=11.462933) REGRESSION : CSM: [346.75382622236128, 11.462933069373321] TIMING : CubeSum implot [ 1.54682000e-01 6.10202909e+00 1.53044922e+03 2.67953125e+02] TIMING : CubeSum getdata [ 2.43060000e-02 2.44019032e-02 1.53044922e+03 2.67953125e+02] TIMING : CubeSum done [ 2.82395000e-01 3.01519156e-01 1.53044922e+03 2.68015625e+02] TIMING : CubeSum END [ 0.610802 6.62355709] 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 [ 7.95133400e+00 1.64394569e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.49490000e-02 3.50589752e-02 1.53044922e+03 2.68015625e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.15290000e-02 4.17649746e-02 1.53044922e+03 2.68015625e+02] INFO : AT.py : Setting 'sigma' = 0.0611550195012 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.061155 -1.12127 0.833614 35 0.293445 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 03:34:47 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 1.22743000e-01 1.37665033e-01 1.53044922e+03 2.68636719e+02] INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR INFO : SFind2D_AT.py : K.km/s Jy arcsec arcsec deg INFO : SFind2D_AT.py : 10:11:01.974 -04.42.14.62 43.68 27.38 0.614 3.92 47.461 16.555 84.4 10.0 INFO : SFind2D_AT.py : 10:11:09.268 -04.41.17.85 23.86 37.70 0.567 1.69 28.476 12.070 89.5 9.3 INFO : SFind2D_AT.py : 10:11:00.247 -04.42.15.69 48.38 27.18 0.41 9.39 103.011 16.059 87.5 6.7 INFO : SFind2D_AT.py : 10:11:07.344 -04.43.33.04 29.09 13.12 0.42 1.33 29.622 16.212 92.4 6.9 INFO : SFind2D_AT.py : 10:11:01.258 -04.42.46.02 45.63 21.67 0.383 0.995 23.683 18.374 148.2 6.3 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 2.32066000e-01 2.37715006e-01 1.53044922e+03 2.69000000e+02] REGRESSION : CONTFLUX: 5 17.3288 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 [ 3.30671000e-01 3.50027084e-01 1.53044922e+03 2.69000000e+02] TIMING : SFind2D END [ 0.776211 0.81652212] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 7.053663 13.73292804] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.05366 13.7329 ] ('N sources in CSM:', 5) ('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 [ 8.94811400e+00 1.64394569e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[45, 27, 6],0.039287 TIMING : CubeSpectrum CubeStats-pos [ 4.88090000e-02 4.89280224e-02 1.53044922e+03 2.69003906e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[45, 27],0.833614 TIMING : CubeSpectrum Moment-pos [ 4.80710000e-02 4.82251644e-02 1.53044922e+03 2.69003906e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('10h11m01.974s', '-04d42m14.62s'),0.614186 TIMING : CubeSpectrum SourceList-pos [ 3.59820000e-02 3.60729694e-02 1.53044922e+03 2.69003906e+02] TIMING : CubeSpectrum open [ 1.22560000e-02 1.22909546e-02 1.53044922e+03 2.69003906e+02] TIMING : CubeSpectrum imval [ 4.43340000e-02 4.45389748e-02 1.53044922e+03 2.69476562e+02] TIMING : CubeSpectrum imhead [ 4.16840000e-02 4.18450832e-02 1.53044922e+03 2.69476562e+02] TIMING : CubeSpectrum imval [ 2.73774000e-01 2.92652845e-01 1.53044922e+03 2.69515625e+02] REGRESSION : CSP: [0.03876722976565361, 0.03928709402680397] INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables TIMING : CubeSpectrum done [ 3.11197000e-01 3.30595970e-01 1.53044922e+03 2.69660156e+02] TIMING : CubeSpectrum summary [ 1.25170000e-02 1.25501156e-02 1.53044922e+03 2.69660156e+02] TIMING : CubeSpectrum END [ 0.84086 0.87996721] 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 [ 9.84964300e+00 1.64394569e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.46280000e-02 2.46911049e-02 1.53044922e+03 2.69660156e+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 [ 22.515256 22.56998086 1530.44921875 270.0625 ] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [0, 52] WARNING : specutil.py : 1 [249, 252] WARNING : specutil.py : 2 [309, 312] WARNING : specutil.py : 3 [502, 505] WARNING : specutil.py : 4 [508, 511] WARNING : specutil.py : 0 [0, 24] WARNING : specutil.py : 1 [29, 52] WARNING : specutil.py : 2 [155, 158] WARNING : specutil.py : 3 [249, 252] WARNING : specutil.py : 4 [309, 312] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [1, 19] WARNING : specutil.py : 1 [22, 27] WARNING : specutil.py : 0 [1, 27] TIMING : LineSegment segment finder [ 3.699862 3.70848417 1530.44921875 270.0625 ] INFO : LineSegment_AT.py : Segment Coverage 73 / 689 = 0.105951 REGRESSION : LINESEG: [[115.01590574262737, 115.02293699310366], [115.02410886818303, 115.02606199331534], [115.01590574262737, 115.02606199331534], [115.01551511760091, 115.03582761897685], [115.11278074918954, 115.11395262426893], [115.13621825077718, 115.13739012585656], [115.21160888088403, 115.21278075596342], [115.2139526310428, 115.21512450612218], [115.01551511760091, 115.02489011823596], [115.02684324336826, 115.03582761897685], [115.07606199670226, 115.07723387178164], [115.11278074918954, 115.11395262426893], [115.13621825077718, 115.13739012585656]] TIMING : LineSegment done [ 2.088685 2.19683099 1558.4921875 297.984375 ] TIMING : LineSegment END [ 28.340927 28.51251817] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 36.512954 43.46045518] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.513 43.4605 ] Found 6 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 36.613212 43.66709208] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.6132 43.6671 ] ('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 [ 3.85308260e+01 1.64394572e+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 [ 13.936888 13.97089791 1558.4921875 298.109375 ] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 8.836507 8.86055398 1558.4921875 298.109375 ] TIMING : LineID segment finder [ 1.44070000e-02 1.44441128e-02 1.55849219e+03 2.98109375e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [0, 52] WARNING : specutil.py : 1 [249, 252] WARNING : specutil.py : 2 [309, 312] WARNING : specutil.py : 3 [502, 505] WARNING : specutil.py : 4 [508, 511] WARNING : specutil.py : 0 [0, 24] WARNING : specutil.py : 1 [29, 52] WARNING : specutil.py : 2 [155, 158] WARNING : specutil.py : 3 [249, 252] WARNING : specutil.py : 4 [309, 312] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [1, 19] WARNING : specutil.py : 1 [22, 27] WARNING : specutil.py : 0 [1, 27] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 0 - 511 REGRESSION : LINEID: CO 115.27120 0 511 INFO : LineID_AT.py : Line Coverage 512 / 689 = 0.743106 TIMING : LineID done [ 15.602914 15.86188984 1665.58203125 406.5390625 ] TIMING : LineID END [ 38.405714 38.722821] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 75.338087 82.80191612] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 75.3381 82.8019 ] Found 1 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 [ 7.72090440e+01 1.64394576e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 6.77600000e-02 6.80408478e-02 1.63403516e+03 3.75171875e+02] TIMING : LineCube pad [ 1.48280000e-02 1.48751736e-02 1.63403516e+03 3.75171875e+02] WARNING : LineCube_AT.py : pad=5 too large, start=-5 resetting to 0 TIMING : LineCube trans-x.CO_115.27120 [ 1.03174000e-01 2.33582020e-01 1.63403516e+03 3.75234375e+02] REGRESSION : LC: [0, 516] TIMING : LineCube done [ 2.53210000e-02 2.53829956e-02 1.63403516e+03 3.75234375e+02] TIMING : LineCube END [ 0.2235 0.35433388] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im TIMING : ADMITrun END [ 75.733115 83.40247703] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 75.7331 83.4025 ] Found 1 lines in LineCube ('LineDir:', 0, 'x.CO_115.27120/lc.im') ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('MOMENT_AT:', 8) INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'numsigma' = [3.0] 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 - '@1' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : numsigma : [3.0] INFO : moments : [0] INFO : mom0clip : 2.0 INFO : zoom : 1 INFO : chans : INFO : sigma : -1.0 INFO : TIMING : Moment ADMIT [ 7.77002390e+01 1.64394576e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.90570000e-02 4.91900444e-02 1.63403516e+03 3.75234375e+02] TIMING : Moment immoments-0 [ 6.80280000e-02 1.14213943e-01 1.63403516e+03 3.75234375e+02] TIMING : Moment mom0clip [ 6.98130000e-02 2.69826889e-01 1.63403516e+03 3.75324219e+02] TIMING : Moment implot [ 9.88950000e-02 3.45052004e-01 1.63403516e+03 3.75386719e+02] TIMING : Moment getdata [ 2.12390000e-02 2.13141441e-02 1.63403516e+03 3.75386719e+02] TIMING : Moment ren+mask_0 [ 4.07487000e-01 4.12356853e-01 1.63876562e+03 3.80117188e+02] TIMING : Moment done [ 1.58150000e-02 1.58770084e-02 1.63876562e+03 3.80117188e+02] TIMING : Moment END [ 0.742763 1.24032807] INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@1.mom_0 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 [ 7.85041400e+01 1.64394576e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.86630000e-02 4.89349365e-02 1.63876562e+03 3.80117188e+02] TIMING : Moment immoments-all [ 8.21280000e-02 2.92080164e-01 1.63876562e+03 3.80117188e+02] TIMING : Moment mom0clip [ 7.11870000e-02 1.36325836e-01 1.63876562e+03 3.80117188e+02] TIMING : Moment implot [ 9.77090000e-02 3.57138157e-01 1.63876562e+03 3.80117188e+02] TIMING : Moment getdata [ 2.14070000e-02 2.14970112e-02 1.63876562e+03 3.80117188e+02] TIMING : Moment ren+mask_0 [ 2.91369000e-01 2.95963049e-01 1.63826562e+03 3.79617188e+02] 2022-02-04 03:36:00 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 [ 1.50963000e-01 6.01976871e-01 1.63826562e+03 3.79679688e+02] TIMING : Moment implot [ 7.83100000e-02 3.17588091e-01 1.63826562e+03 3.80347656e+02] TIMING : Moment getdata [ 2.11940000e-02 2.12588310e-02 1.63826562e+03 3.80347656e+02] TIMING : Moment ren+mask_1 [ 2.83405000e-01 2.88105011e-01 1.63826562e+03 3.80347656e+02] 2022-02-04 03:36:02 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 [ 1.49890000e-01 4.04880047e-01 1.63826562e+03 3.80347656e+02] TIMING : Moment implot [ 7.74860000e-02 3.05562019e-01 1.63826562e+03 3.80347656e+02] TIMING : Moment getdata [ 2.13110000e-02 2.13999748e-02 1.63826562e+03 3.80347656e+02] TIMING : Moment ren+mask_2 [ 2.83950000e-01 2.88428068e-01 1.63826562e+03 3.80347656e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 -40.5991 17.618 0.0330578 506.458 506.458 171.708 TIMING : Moment mom0flux [ 5.16070000e-02 5.17649651e-02 1.63826562e+03 3.80347656e+02] TIMING : Moment flux-spectrum [ 3.80691000e-01 3.85706902e-01 1.63826562e+03 3.80347656e+02] TIMING : Moment done [ 1.53040000e-02 1.53481960e-02 1.63826562e+03 3.80347656e+02] TIMING : Moment END [ 2.139081 3.86652112] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc.mom_2 INFO : INFO : INFO : Executing CubeSpectrum_AT - '@1' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 8.07528590e+01 1.64394576e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 48],0.613230 TIMING : CubeSpectrum Moment-pos [ 5.50390000e-02 5.52020073e-02 1.63826562e+03 3.80347656e+02] TIMING : CubeSpectrum open [ 1.23890000e-02 1.25751495e-02 1.63826562e+03 3.80347656e+02] TIMING : CubeSpectrum imval [ 4.00100000e-02 4.02069092e-02 1.63826562e+03 3.80347656e+02] TIMING : CubeSpectrum imhead [ 4.22550000e-02 4.24420834e-02 1.63826562e+03 3.80347656e+02] REGRESSION : CSP: [0.017611268907785416] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.83612000e-01 2.87812948e-01 1.63826562e+03 3.80347656e+02] TIMING : CubeSpectrum summary [ 1.27300000e-02 1.27639771e-02 1.63826562e+03 3.80347656e+02] TIMING : CubeSpectrum END [ 0.458381 0.46339607] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp TIMING : ADMITrun END [ 79.530694 89.50241017] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 79.5307 89.5024 ]