========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-46/85824IPython 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 ', 'Region_J-K_85824.nf.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'Region_J-K_85824.nf.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-46/85824/Region_J-K_85824.nf.admit ADMIT root = /lma1/teuben/lmtoy/admit ADMIT version = 1.0.8.5 ADMIT flowcount = 1 stale = 0 ('Starting a new ADMIT using', 'Region_J-K_85824.nf.fits') ('Found parameter file to cp:', 'Region_J-K_85824.nf.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85824.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 : Region_J-K_85824.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 [ 2.12231500e+00 1.64394325e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: Region_J-K SHAPE: [ 91 91 689] ALMA OBJECT = Region_J-K ALMA DATE-OBS = 2019-11-01T03:09:48 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 1.95708000e-01 2.01298952e-01 1.41021875e+03 2.17121094e+02] TIMING : Ingest importfits [ 1.36178000e-01 2.41852045e-01 1.41095312e+03 2.18613281e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 6.37740000e-02 9.08241272e-02 1.41556250e+03 2.24277344e+02] TIMING : Ingest summary-0 [ 1.42890000e-02 1.43768787e-02 1.41556250e+03 2.24277344e+02] TIMING : Ingest mask [ 4.32250000e-02 5.42991161e-02 1.41556250e+03 2.24511719e+02] TIMING : Ingest summary-1 [ 1.37260000e-02 1.78918839e-02 1.41556250e+03 2.24511719e+02] TIMING : Ingest statistics [ 5.74280000e-02 5.75840473e-02 1.41670312e+03 2.26652344e+02] 2022-02-04 02:54:09 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: [ 91 91 689 1] 3724734 -1.339769 1.441572 INFO : Ingest_AT.py : S/N (all data): 11.955834 INFO : Ingest_AT.py : GOOD PIXELS: 3724734/5705609 (65.281971% good or 34.718029% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -1.33977 1.44157 0.120575 91 91 689 34.718029 INFO : Ingest_AT.py : TELESCOPE: LMT INFO : Ingest_AT.py : OBJECT: Region_J-K INFO : Ingest_AT.py : REFFREQTYPE: LSRK INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 45.000000 INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 45.000000 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: 115.25 0.000390625 0 INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.384822 fw=0.269141 GHz INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1 INFO : Ingest_AT.py : VLSRc= -295.492064 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569 INFO : Ingest_AT.py : VLSR = -295.492064 errs = 0.000000 0.000000 0.000000 width = -1.015921 TIMING : Ingest done [ 5.74090000e-01 5.78624010e-01 1.41945312e+03 2.29851562e+02] TIMING : Ingest END [ 1.11055 1.26891613] 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 [ 3.29332300e+00 1.64394325e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.20720000e-02 5.22971153e-02 1.41870312e+03 2.29707031e+02] TIMING : CubeStats start [ 1.24600000e-02 1.25041008e-02 1.41870312e+03 2.29707031e+02] TIMING : CubeStats imstat0 [ 2.23995000e-01 2.24617958e-01 1.44783203e+03 2.59117188e+02] TIMING : CubeStats imstat1 [ 3.06118000e-01 3.06934834e-01 1.47939844e+03 2.90777344e+02] INFO : CubeStats_AT.py : sigma varies from 0.105759 to 0.132144; 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 [ 8.16400000e-01 8.19313049e-01 1.47939844e+03 2.90808594e+02] INFO : CubeStats_AT.py : CubeMax: 1.441572 @ [ 32 57 309 0] INFO : CubeStats_AT.py : CubeMin: -1.339769 @ [ 18 82 631 0] INFO : CubeStats_AT.py : CubeRMS: 0.118434 INFO : CubeStats_AT.py : RMS Sanity check 1.018073 REGRESSION : CST: 0.118434 1.018073 INFO : CubeStats_AT.py : mean,rms,S/N=0.002491 0.118434 12.171916 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.575646 1.573442 /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 [ 2.290341 2.46095705 1489.15234375 299.1015625 ] TIMING : CubeStats done [ 1.39080000e-02 1.39410496e-02 1.48915234e+03 2.99101562e+02] TIMING : CubeStats summary [ 1.24700000e-02 1.25219822e-02 1.48915234e+03 2.99101562e+02] TIMING : CubeStats END [ 3.740232 3.91559601] 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 [ 7.09478900e+00 1.64394325e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.118434 TIMING : CubeSum start [ 5.24890000e-02 5.26480675e-02 1.48915234e+03 2.99101562e+02] TIMING : CubeSum immoments [ 9.33560000e-02 2.49041080e-01 1.48915234e+03 2.99425781e+02] 2022-02-04 02:54:14 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.00420000e-02 2.01389790e-02 1.48915234e+03 2.99425781e+02] INFO : CubeSum_AT.py : Total flux: 44678.156684 (sum=1476.963428) REGRESSION : CSM: [44678.156684045091, 1476.9634276616853] TIMING : CubeSum implot [ 1.43330000e-01 6.08072686e+00 1.56115625e+03 2.99453125e+02] TIMING : CubeSum getdata [ 2.16660000e-02 2.17449665e-02 1.56115625e+03 2.99453125e+02] TIMING : CubeSum done [ 2.49087000e-01 2.85858154e-01 1.56115625e+03 2.99523438e+02] TIMING : CubeSum END [ 0.593819 6.72405005] 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 [ 7.74925800e+00 1.64394326e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.39220000e-02 3.40340137e-02 1.56115625e+03 2.99523438e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.11260000e-02 4.13489342e-02 1.56115625e+03 2.99523438e+02] INFO : AT.py : Setting 'sigma' = 1.58475890553 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.58476 -9.09413 17.3216 35 0.36596 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 02:54:21 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 1.04953000e-01 1.28719091e-01 1.56115625e+03 2.99523438e+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 : 00:42:38.792 +41.32.00.35 38.69 57.92 8.29 58.2 40.827 14.338 57.0 5.2 INFO : SFind2D_AT.py : 00:42:31.343 +41.29.48.25 53.90 33.90 8.51 71.6 42.451 19.565 46.7 5.4 INFO : SFind2D_AT.py : 00:42:38.721 +41.32.00.12 38.83 57.87 8.29 53.6 37.289 13.668 53.3 5.2 INFO : SFind2D_AT.py : 00:42:40.328 +41.32.04.61 35.55 58.69 2.08 85.3 74.567 24.943 100.6 1.3 INFO : SFind2D_AT.py : 00:42:28.994 +41.28.57.12 58.70 24.60 6.62 37.2 36.612 16.419 26.2 4.2 INFO : SFind2D_AT.py : 00:42:43.418 +41.33.06.13 29.25 69.88 8.9 45.3 33.665 23.998 0.1 5.6 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 2.59134000e-01 2.69021034e-01 1.56115625e+03 3.00113281e+02] REGRESSION : CONTFLUX: 6 351.245 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 [ 2.68642000e-01 2.87319899e-01 1.56115625e+03 3.00113281e+02] TIMING : SFind2D END [ 0.721436 0.77414203] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 6.747412 13.32147288] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.74741 13.3215 ] ('N sources in CSM:', 6) ('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 [ 8.68416200e+00 1.64394326e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[32, 57, 309],1.441572 TIMING : CubeSpectrum CubeStats-pos [ 4.86600000e-02 4.87859249e-02 1.56115625e+03 3.00113281e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 58],17.321646 TIMING : CubeSpectrum Moment-pos [ 4.19130000e-02 4.20389175e-02 1.56115625e+03 3.00113281e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m38.792s', '+41d32m00.35s'),8.288123 TIMING : CubeSpectrum SourceList-pos [ 3.57480000e-02 3.58381271e-02 1.56115625e+03 3.00113281e+02] TIMING : CubeSpectrum open [ 1.22330000e-02 1.22668743e-02 1.56115625e+03 3.00113281e+02] TIMING : CubeSpectrum imval [ 4.34670000e-02 4.36720848e-02 1.56115625e+03 3.00464844e+02] TIMING : CubeSpectrum imhead [ 4.18010000e-02 4.19518948e-02 1.56115625e+03 3.00464844e+02] TIMING : CubeSpectrum imval [ 2.45439000e-01 2.64859200e-01 1.56115625e+03 3.00527344e+02] TIMING : CubeSpectrum imval [ 2.71302000e-01 2.89930820e-01 1.56115625e+03 3.00527344e+02] REGRESSION : CSP: [1.4415717124938965, 1.1304805278778076, 1.0932662487030029] INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.72959000e-01 2.91668177e-01 1.56090625e+03 3.00277344e+02] TIMING : CubeSpectrum summary [ 1.26950000e-02 1.27267838e-02 1.56090625e+03 3.00277344e+02] TIMING : CubeSpectrum END [ 1.038689 1.096246] 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 [ 9.78478500e+00 1.64394326e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.50260000e-02 2.50909328e-02 1.56090625e+03 3.00277344e+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 [ 14.936051 14.97227597 1560.90625 300.703125 ] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [306, 314] WARNING : specutil.py : 0 [300, 313] WARNING : specutil.py : 0 [300, 317] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [304, 312] WARNING : specutil.py : 1 [321, 334] TIMING : LineSegment segment finder [ 3.897202 3.90680718 1560.90625 300.703125 ] INFO : LineSegment_AT.py : Segment Coverage 18 / 689 = 0.0261248 REGRESSION : LINESEG: [[115.36919668704807, 115.37232168725977], [115.37583731249791, 115.38091543784191], [115.36997793710101, 115.37310293731269], [115.36763418694224, 115.37271231228623], [115.36763418694224, 115.37427481239207]] TIMING : LineSegment done [ 2.323328 2.45294499 1554.5078125 294.2890625 ] TIMING : LineSegment END [ 21.19435 21.36989498] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 29.265137 36.16861296] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.2651 36.1686 ] Found 2 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 29.362818 36.32571387] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.3628 36.3257 ] ('OBJECT = ', 'Region_J-K') ('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 [ 3.13238710e+01 1.64394328e+09] TIMING : LineID BEGIN [ 0. 0.] INFO : LineID_AT.py : Set vlsr = -295.49 for line identification. INFO : LineID_AT.py : Identifylines = True INFO : LineID_AT.py : Using vlsr = -295.492 INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra TIMING : LineID getspectrum-cubespecs [ 8.536042 8.56382895 1554.5078125 294.30859375] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 6.574293 6.59622598 1554.5078125 294.30859375] TIMING : LineID segment finder [ 1.45250000e-02 1.45680904e-02 1.55450781e+03 2.94308594e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [306, 314] WARNING : specutil.py : 0 [300, 313] WARNING : specutil.py : 0 [300, 317] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [304, 312] WARNING : specutil.py : 1 [321, 334] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 300 - 334 REGRESSION : LINEID: CO 115.27120 300 334 INFO : LineID_AT.py : Line Coverage 35 / 689 = 0.0507983 TIMING : LineID done [ 17.777312 18.03107882 1666.48046875 406.390625 ] TIMING : LineID END [ 32.916189 33.21975183] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 62.614087 69.9594419] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.6141 69.9594 ] 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 [ 6.45285200e+01 1.64394332e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 7.64170000e-02 7.69729614e-02 1.66648047e+03 4.06402344e+02] TIMING : LineCube pad [ 1.35530000e-02 1.35929585e-02 1.66648047e+03 4.06402344e+02] TIMING : LineCube trans-x.CO_115.27120 [ 7.84080000e-02 1.45401001e-01 1.66648047e+03 4.06640625e+02] REGRESSION : LC: [295, 339] TIMING : LineCube done [ 2.51020000e-02 2.51641273e-02 1.66648047e+03 4.06640625e+02] TIMING : LineCube END [ 0.205978 0.2736659] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im TIMING : ADMITrun END [ 62.991364 70.49893498] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.9914 70.4989 ] 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 [ 6.50045330e+01 1.64394332e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.91540000e-02 4.92870808e-02 1.66648047e+03 4.06640625e+02] TIMING : Moment immoments-0 [ 1.04988000e-01 1.44875050e-01 1.66648047e+03 4.06640625e+02] TIMING : Moment mom0clip [ 6.87060000e-02 1.13602877e-01 1.66648047e+03 4.06828125e+02] TIMING : Moment implot [ 9.46580000e-02 3.54022980e-01 1.66648047e+03 4.06886719e+02] TIMING : Moment getdata [ 2.04840000e-02 2.05600262e-02 1.66648047e+03 4.06886719e+02] TIMING : Moment ren+mask_0 [ 3.29010000e-01 3.33724022e-01 1.66448047e+03 4.04886719e+02] TIMING : Moment done [ 1.52740000e-02 1.53200626e-02 1.66448047e+03 4.04886719e+02] TIMING : Moment END [ 0.694639 1.04380798] 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 [ 6.57602520e+01 1.64394332e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.85390000e-02 4.86538410e-02 1.66448047e+03 4.04886719e+02] TIMING : Moment immoments-all [ 7.07320000e-02 3.54112148e-01 1.66448047e+03 4.04886719e+02] TIMING : Moment mom0clip [ 6.75310000e-02 1.52241945e-01 1.66448047e+03 4.04886719e+02] TIMING : Moment implot [ 9.28670000e-02 3.63034964e-01 1.66448047e+03 4.04886719e+02] TIMING : Moment getdata [ 2.02620000e-02 2.03340054e-02 1.66448047e+03 4.04886719e+02] TIMING : Moment ren+mask_0 [ 2.53657000e-01 2.58012056e-01 1.66423047e+03 4.04636719e+02] 2022-02-04 02:55:21 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 [ 1.50128000e-01 7.59069920e-01 1.66423047e+03 4.05085938e+02] TIMING : Moment implot [ 7.66590000e-02 3.22410107e-01 1.66423047e+03 4.05667969e+02] TIMING : Moment getdata [ 2.00680000e-02 2.01427937e-02 1.66423047e+03 4.05667969e+02] TIMING : Moment ren+mask_1 [ 2.59898000e-01 2.64384031e-01 1.66423047e+03 4.05667969e+02] 2022-02-04 02:55:23 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 [ 1.50523000e-01 5.37319183e-01 1.66423047e+03 4.05667969e+02] TIMING : Moment implot [ 7.58290000e-02 3.04612875e-01 1.66423047e+03 4.05667969e+02] TIMING : Moment getdata [ 2.00900000e-02 2.01690197e-02 1.66423047e+03 4.05667969e+02] TIMING : Moment ren+mask_2 [ 2.53285000e-01 2.57246971e-01 1.66423047e+03 4.05667969e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 3961.66 2352.22 0.0330578 -267.25 -267.25 8.71369 TIMING : Moment mom0flux [ 5.15410000e-02 5.17089367e-02 1.66423047e+03 4.05667969e+02] TIMING : Moment flux-spectrum [ 2.69960000e-01 2.74116039e-01 1.66423047e+03 4.05667969e+02] TIMING : Moment done [ 1.48610000e-02 1.49030685e-02 1.66423047e+03 4.05667969e+02] TIMING : Moment END [ 1.908876 4.03496385] 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 [ 6.77783430e+01 1.64394332e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 58],18.926537 TIMING : CubeSpectrum Moment-pos [ 5.47000000e-02 5.48489094e-02 1.66423047e+03 4.05667969e+02] TIMING : CubeSpectrum open [ 1.24270000e-02 1.24640465e-02 1.66423047e+03 4.05667969e+02] TIMING : CubeSpectrum imval [ 3.65380000e-02 3.67209911e-02 1.66423047e+03 4.05667969e+02] TIMING : CubeSpectrum imhead [ 4.21050000e-02 4.22599316e-02 1.66423047e+03 4.05667969e+02] REGRESSION : CSP: [1.1304805278778076] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.53947000e-01 2.58313179e-01 1.66423047e+03 4.05667969e+02] TIMING : CubeSpectrum summary [ 1.25900000e-02 1.26237869e-02 1.66423047e+03 4.05667969e+02] TIMING : CubeSpectrum END [ 0.424669 0.42962885] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp TIMING : ADMITrun END [ 66.467668 76.53893304] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 66.4677 76.5389 ]