========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-46/85778IPython 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_85778.nfs.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'Region_J-K_85778.nfs.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-46/85778/Region_J-K_85778.nfs.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_85778.nfs.fits') ('Found parameter file to cp:', 'Region_J-K_85778.nfs.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85778.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 : Region_J-K_85778.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 [ 2.29544100e+00 1.64394270e+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 = 2019-10-31T03:31:31 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 2.00005000e-01 2.07736969e-01 1.41021094e+03 2.16753906e+02] TIMING : Ingest importfits [ 1.38421000e-01 2.93797970e-01 1.41094531e+03 2.17980469e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 6.41230000e-02 1.40538931e-01 1.41555469e+03 2.23488281e+02] TIMING : Ingest summary-0 [ 1.47150000e-02 1.48019791e-02 1.41555469e+03 2.23488281e+02] TIMING : Ingest mask [ 4.33270000e-02 8.14452171e-02 1.41555469e+03 2.23890625e+02] TIMING : Ingest summary-1 [ 1.40710000e-02 1.77268982e-02 1.41555469e+03 2.23890625e+02] TIMING : Ingest statistics [ 6.61800000e-02 6.63499832e-02 1.41669141e+03 2.26101562e+02] 2022-02-04 02:45:02 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] 4834713 -0.099229 0.795026 INFO : Ingest_AT.py : S/N (all data): 32.222040 INFO : Ingest_AT.py : GOOD PIXELS: 4834713/5705609 (84.736143% good or 15.263857% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.0992293 0.795026 0.0246734 91 91 689 15.263857 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 [ 5.91904000e-01 6.09440088e-01 1.41944141e+03 2.29515625e+02] TIMING : Ingest END [ 1.14488 1.44400787] 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 [ 3.50125300e+00 1.64394270e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.29520000e-02 5.39081097e-02 1.41869141e+03 2.29089844e+02] TIMING : CubeStats start [ 1.28630000e-02 1.29408836e-02 1.41869141e+03 2.29089844e+02] TIMING : CubeStats imstat0 [ 2.40204000e-01 2.41616011e-01 1.44746484e+03 2.58433594e+02] TIMING : CubeStats imstat1 [ 2.99478000e-01 3.00286055e-01 1.43342969e+03 2.44703125e+02] INFO : CubeStats_AT.py : sigma varies from 0.006914 to 0.028115; 689/689 channels ok WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0138285 (4.06631 > 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 [ 8.38170000e-01 8.41126919e-01 1.43342969e+03 2.44707031e+02] INFO : CubeStats_AT.py : CubeMax: 0.795026 @ [ 53 35 324 0] INFO : CubeStats_AT.py : CubeMin: -0.099229 @ [ 28 20 511 0] INFO : CubeStats_AT.py : CubeRMS: 0.014668 INFO : CubeStats_AT.py : RMS Sanity check 1.682147 WARNING : CubeStats_AT.py : RMS sanity check = 1.682147. Either bad sidelobes, lotsa signal, or both REGRESSION : CST: 0.014668 1.682147 INFO : CubeStats_AT.py : mean,rms,S/N=0.001994 0.014668 54.202201 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.893053 1.785153 /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 [ 2.29073 2.47942019 1455.171875 264.6640625 ] TIMING : CubeStats done [ 1.36270000e-02 1.40199661e-02 1.45517188e+03 2.64664062e+02] TIMING : CubeStats summary [ 1.22520000e-02 1.23059750e-02 1.45517188e+03 2.64664062e+02] TIMING : CubeStats END [ 3.772443 3.96783304] 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 [ 7.33367400e+00 1.64394271e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.014668 TIMING : CubeSum start [ 5.22110000e-02 5.23591042e-02 1.45517188e+03 2.64664062e+02] TIMING : CubeSum immoments [ 9.54220000e-02 1.51628971e-01 1.45612500e+03 2.65910156e+02] 2022-02-04 02:45:07 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.00740000e-02 2.01609135e-02 1.45612500e+03 2.65910156e+02] INFO : CubeSum_AT.py : Total flux: 168258.325921 (sum=5562.257090) REGRESSION : CSM: [168258.32592080551, 5562.2570900145311] TIMING : CubeSum implot [ 1.44798000e-01 6.09480214e+00 1.52812891e+03 2.65964844e+02] TIMING : CubeSum getdata [ 2.15620000e-02 2.16479301e-02 1.52812891e+03 2.65964844e+02] TIMING : CubeSum done [ 2.45139000e-01 2.64010906e-01 1.52882812e+03 2.66726562e+02] TIMING : CubeSum END [ 0.59299 6.6184411] 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 [ 7.98691600e+00 1.64394271e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.37490000e-02 3.38530540e-02 1.52882812e+03 2.66726562e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.12820000e-02 4.15229797e-02 1.52882812e+03 2.66726562e+02] INFO : AT.py : Setting 'sigma' = 0.920982511043 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.920983 -1.30856 13.5043 35 0.272797 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 02:45:14 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 02:45:14 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 2.50984000e-01 2.60480881e-01 1.52882812e+03 2.67273438e+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 : 00:42:39.113 +41.32.03.37 38.03 58.47 13.5 233 83.869 34.869 66.5 14.6 INFO : SFind2D_AT.py : 00:42:31.603 +41.29.48.86 53.37 34.01 12.3 200 65.896 39.622 41.0 13.3 INFO : SFind2D_AT.py : 00:42:43.459 +41.33.00.21 29.16 68.80 10.4 257 70.840 55.142 22.8 11.3 INFO : SFind2D_AT.py : 00:42:29.345 +41.29.03.33 57.98 25.73 8.75 190 79.725 44.161 19.5 9.5 INFO : SFind2D_AT.py : 00:42:41.758 +41.32.48.40 32.63 66.65 7.71 35.6 27.500 27.500 90.0 8.4 INFO : SFind2D_AT.py : 00:42:25.108 +41.28.17.71 66.64 17.44 6.02 98.7 67.713 36.536 55.6 6.5 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 2.56764000e-01 2.61798143e-01 1.52882812e+03 2.67273438e+02] REGRESSION : CONTFLUX: 6 1013.65 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 [ 2.79632000e-01 2.98699856e-01 1.52882812e+03 2.67441406e+02] TIMING : SFind2D END [ 0.876113 0.91008902] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 6.987834 13.60110593] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.98783 13.6011 ] ('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 [ 9.07689300e+00 1.64394271e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[53, 35, 324],0.795026 TIMING : CubeSpectrum CubeStats-pos [ 4.79920000e-02 4.81169224e-02 1.52882812e+03 2.67441406e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],13.504304 TIMING : CubeSpectrum Moment-pos [ 4.20170000e-02 4.21440601e-02 1.52882812e+03 2.67441406e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m39.113s', '+41d32m03.37s'),13.490597 TIMING : CubeSpectrum SourceList-pos [ 3.58740000e-02 3.59730721e-02 1.52882812e+03 2.67441406e+02] TIMING : CubeSpectrum open [ 1.21730000e-02 1.22129917e-02 1.52882812e+03 2.67441406e+02] TIMING : CubeSpectrum imval [ 4.35520000e-02 4.37579155e-02 1.52882812e+03 2.67800781e+02] TIMING : CubeSpectrum imhead [ 4.15330000e-02 4.16800976e-02 1.52882812e+03 2.67800781e+02] TIMING : CubeSpectrum imval [ 2.29192000e-01 2.48005867e-01 1.52882812e+03 2.67808594e+02] TIMING : CubeSpectrum imval [ 2.60659000e-01 2.80285120e-01 1.52882812e+03 2.67871094e+02] REGRESSION : CSP: [0.60791337490081787, 0.57790738344192505, 0.79502600431442261] INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.78710000e-01 2.98506975e-01 1.52882812e+03 2.67871094e+02] TIMING : CubeSpectrum summary [ 1.23810000e-02 1.24158859e-02 1.52882812e+03 2.67871094e+02] TIMING : CubeSpectrum END [ 1.016256 1.07530999] 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 [ 1.01531420e+01 1.64394272e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.43150000e-02 2.43790150e-02 1.52882812e+03 2.67871094e+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 [ 34.832834 34.917629 1528.828125 268.265625] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [155, 159] WARNING : specutil.py : 1 [294, 337] WARNING : specutil.py : 2 [494, 501] WARNING : specutil.py : 3 [636, 639] WARNING : specutil.py : 4 [657, 662] WARNING : specutil.py : 5 [668, 672] WARNING : specutil.py : 6 [459, 461] WARNING : specutil.py : 0 [295, 337] WARNING : specutil.py : 1 [493, 501] WARNING : specutil.py : 2 [657, 662] WARNING : specutil.py : 3 [459, 461] WARNING : specutil.py : 0 [128, 132] WARNING : specutil.py : 1 [243, 255] WARNING : specutil.py : 2 [310, 339] WARNING : specutil.py : 3 [471, 474] WARNING : specutil.py : 4 [479, 483] WARNING : specutil.py : 5 [536, 542] WARNING : specutil.py : 6 [548, 552] WARNING : specutil.py : 7 [669, 672] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [279, 355] WARNING : specutil.py : 1 [386, 389] WARNING : specutil.py : 2 [586, 601] WARNING : specutil.py : 0 [510, 513] WARNING : specutil.py : 1 [519, 522] TIMING : LineSegment segment finder [ 4.879688 4.89148617 1528.828125 268.265625 ] INFO : LineSegment_AT.py : Segment Coverage 117 / 689 = 0.169811 REGRESSION : LINESEG: [[115.35943106138659, 115.38911856339757], [115.40122793921783, 115.40239981429723], [115.47935294450991, 115.48521231990684], [115.44966544249893, 115.4508373175783], [115.45318106773708, 115.45435294281646], [115.31099355810548, 115.31255605821131], [115.36529043678348, 115.38208731292129], [115.44341544207556, 115.44614981726079], [115.49888419583294, 115.50005607091232], [115.50708732138861, 115.50904044652091], [115.51138419667967, 115.51294669678552], [115.42974356614944, 115.43052481620238], [115.36568106180994, 115.38208731292129], [115.44302481704911, 115.44614981726079], [115.50708732138861, 115.50904044652091], [115.42974356614944, 115.43052481620238], [115.30044668239105, 115.3020091824969], [115.34536856043401, 115.35005606075153], [115.37154043720685, 115.3828685629742], [115.43443106646698, 115.43560294154635], [115.43755606667867, 115.4391185667845], [115.45982169318691, 115.46216544334567], [115.46450919350443, 115.46607169361027], [115.51177482170614, 115.51294669678552]] TIMING : LineSegment done [ 2.307976 2.44283795 1557.3671875 296.703125 ] TIMING : LineSegment END [ 42.057208 42.28876209] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 50.345904 57.30545187] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.3459 57.3055 ] Found 17 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 50.447119 57.493783] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.4471 57.4938 ] ('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 [ 5.25611760e+01 1.64394276e+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 [ 20.904807 20.95851707 1557.3671875 296.8125 ] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 14.312935 14.34758091 1557.3671875 296.8125 ] TIMING : LineID segment finder [ 1.41180000e-02 1.41630173e-02 1.55736719e+03 2.96812500e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [155, 159] WARNING : specutil.py : 1 [294, 337] WARNING : specutil.py : 2 [494, 501] WARNING : specutil.py : 3 [636, 639] WARNING : specutil.py : 4 [657, 662] WARNING : specutil.py : 5 [668, 672] WARNING : specutil.py : 6 [459, 461] WARNING : specutil.py : 0 [295, 337] WARNING : specutil.py : 1 [493, 501] WARNING : specutil.py : 2 [657, 662] WARNING : specutil.py : 3 [459, 461] WARNING : specutil.py : 0 [128, 132] WARNING : specutil.py : 1 [243, 255] WARNING : specutil.py : 2 [310, 339] WARNING : specutil.py : 3 [471, 474] WARNING : specutil.py : 4 [479, 483] WARNING : specutil.py : 5 [536, 542] WARNING : specutil.py : 6 [548, 552] WARNING : specutil.py : 7 [669, 672] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [279, 355] WARNING : specutil.py : 1 [386, 389] WARNING : specutil.py : 2 [586, 601] WARNING : specutil.py : 0 [510, 513] WARNING : specutil.py : 1 [519, 522] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit. /an/terra_astromake/opt/casa/casa-release-5.8.0-109.el7/lib/python2.7/site-packages/scipy/optimize/minpack.py:715: OptimizeWarning: Covariance of the parameters could not be estimated category=OptimizeWarning) INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit. INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 128 - 639 REGRESSION : LINEID: CO 115.27120 128 639 INFO : LineID_AT.py : Found line: g'Ga-(CH2OH)2 31(5,26)v=1-31(5,27)v=0 @ 115.39456GHz, channels 657 - 662 REGRESSION : LINEID: g'Ga-(CH2OH)2 115.39456 657 662 INFO : LineID_AT.py : Found line: U_115.3988 @ 115.398812606GHz, channels 668 - 672 REGRESSION : LINEID: U_115.3988 115.39881 668 672 INFO : LineID_AT.py : Line Coverage 523 / 689 = 0.759071 TIMING : LineID done [ 19.852141 20.11327314 1667.14453125 408.046875 ] TIMING : LineID END [ 55.098426 55.44799519] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 105.898455 113.39963293] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 105.898 113.4 ] Found 3 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 [ 1.07965835e+02 1.64394281e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 8.62200000e-02 8.71288776e-02 1.61902344e+03 3.59925781e+02] TIMING : LineCube pad [ 1.38180000e-02 1.38571262e-02 1.61902344e+03 3.59925781e+02] TIMING : LineCube trans-x.CO_115.27120 [ 9.17170000e-02 3.20883036e-01 1.61902344e+03 3.59988281e+02] TIMING : LineCube trans-x.(CH2OH)2_115.39456 [ 7.17820000e-02 1.95883989e-01 1.61902344e+03 3.60046875e+02] TIMING : LineCube trans-x.U_115.3988 [ 7.20210000e-02 3.21981907e-01 1.61902344e+03 3.60046875e+02] REGRESSION : LC: [123, 644, 652, 667, 663, 677] TIMING : LineCube done [ 2.49570000e-02 2.50220299e-02 1.61902344e+03 3.60046875e+02] TIMING : LineCube END [ 0.372911 0.97719693] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.(CH2OH)2_115.39456/lc.im INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.U_115.3988/lc.im TIMING : ADMITrun END [ 106.500893 114.69325304] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 106.501 114.693 ] Found 3 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) ('LineDir:', 1, 'x.(CH2OH)2_115.39456/lc.im') ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('MOMENT_AT:', 10) 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) ('LineDir:', 2, 'x.U_115.3988/lc.im') ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('MOMENT_AT:', 12) 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 - '@3' (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 [ 1.08761220e+02 1.64394282e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.90760000e-02 4.91988659e-02 1.61902344e+03 3.60046875e+02] TIMING : Moment immoments-0 [ 1.07954000e-01 1.74577951e-01 1.63654297e+03 3.77566406e+02] TIMING : Moment mom0clip [ 6.92610000e-02 1.41808033e-01 1.63654297e+03 3.77566406e+02] TIMING : Moment implot [ 9.90390000e-02 3.49958181e-01 1.63654297e+03 3.77816406e+02] TIMING : Moment getdata [ 2.16110000e-02 2.16858387e-02 1.63654297e+03 3.77816406e+02] TIMING : Moment ren+mask_0 [ 3.46793000e-01 3.51434946e-01 1.63791406e+03 3.79285156e+02] TIMING : Moment done [ 1.55710000e-02 1.56199932e-02 1.63791406e+03 3.79285156e+02] TIMING : Moment END [ 0.721666 1.11670303] INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@3.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 [ 1.09543876e+02 1.64394282e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.85560000e-02 4.86750603e-02 1.63791406e+03 3.79285156e+02] TIMING : Moment immoments-all [ 1.25549000e-01 5.54476023e-01 1.63791406e+03 3.79285156e+02] TIMING : Moment mom0clip [ 7.03550000e-02 1.60413980e-01 1.63791406e+03 3.79285156e+02] TIMING : Moment implot [ 9.83790000e-02 3.65736008e-01 1.63791406e+03 3.79285156e+02] TIMING : Moment getdata [ 2.10700000e-02 2.11489201e-02 1.63791406e+03 3.79285156e+02] TIMING : Moment ren+mask_0 [ 2.77194000e-01 2.82008171e-01 1.63791406e+03 3.79285156e+02] 2022-02-04 02:46:59 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 [ 1.51016000e-01 6.16092920e-01 1.63791406e+03 3.79640625e+02] TIMING : Moment implot [ 7.74160000e-02 3.23356867e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment getdata [ 2.05290000e-02 2.11582184e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment ren+mask_1 [ 3.23745000e-01 3.28753948e-01 1.63791406e+03 3.79867188e+02] 2022-02-04 02:47:00 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 [ 1.52721000e-01 4.79917049e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment implot [ 7.94780000e-02 3.08215857e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment getdata [ 2.26840000e-02 2.32441425e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment ren+mask_2 [ 2.94063000e-01 2.98949957e-01 1.63791406e+03 3.79867188e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 6597.17 3748 0.0330578 -271.859 -271.859 12.9705 TIMING : Moment mom0flux [ 5.23450000e-02 5.24959564e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment flux-spectrum [ 5.35330000e-01 5.41120052e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment done [ 1.56930000e-02 1.57349110e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment END [ 2.378467 4.45389509] 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 Moment_AT - '@1' (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 [ 1.12031264e+02 1.64394282e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.85210000e-02 4.86431122e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment immoments-all [ 7.16240000e-02 2.68574953e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment mom0clip [ 6.79890000e-02 1.02643013e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment implot [ 9.41220000e-02 3.43430042e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment getdata [ 2.27120000e-02 2.27880478e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment ren+mask_0 [ 2.94238000e-01 2.99128056e-01 1.63791406e+03 3.79867188e+02] 2022-02-04 02:47:03 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 [ 1.63679000e-01 4.60886002e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment implot [ 8.67760000e-02 3.32909822e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment getdata [ 2.24760000e-02 2.25541592e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment ren+mask_1 [ 3.08465000e-01 3.12832832e-01 1.63791406e+03 3.79867188e+02] 2022-02-04 02:47:04 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 [ 1.55117000e-01 1.12354398e+00 1.63791406e+03 3.79867188e+02] TIMING : Moment implot [ 7.98040000e-02 3.23290110e-01 1.63791406e+03 3.79867188e+02] TIMING : Moment getdata [ 2.19940000e-02 2.20670700e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment ren+mask_2 [ 2.91700000e-01 2.96309948e-01 1.63791406e+03 3.79867188e+02] REGRESSION : MOM0FLUX: x.(CH2OH)2_115.39456 612.785 283.037 0.0330578 -294.653 -294.653 1.2595 TIMING : Moment mom0flux [ 5.25720000e-02 5.28149605e-02 1.63791406e+03 3.79867188e+02] TIMING : Moment flux-spectrum [ 2.93865000e-01 2.98409939e-01 1.63766406e+03 3.79617188e+02] TIMING : Moment done [ 1.58160000e-02 1.58631802e-02 1.63766406e+03 3.79617188e+02] TIMING : Moment END [ 2.103843 4.35912108] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.(CH2OH)2_115.39456/lc-@1.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.(CH2OH)2_115.39456/lc-@1.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.(CH2OH)2_115.39456/lc-@1.mom_2 INFO : INFO : INFO : Executing Moment_AT - '@2' (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 [ 1.14243961e+02 1.64394283e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.84850000e-02 4.86330986e-02 1.63766406e+03 3.79617188e+02] TIMING : Moment immoments-all [ 7.86960000e-02 2.65146971e-01 1.63766406e+03 3.79617188e+02] TIMING : Moment mom0clip [ 6.89070000e-02 9.26859379e-02 1.63766406e+03 3.79617188e+02] TIMING : Moment implot [ 9.57810000e-02 3.43286037e-01 1.63766406e+03 3.79617188e+02] TIMING : Moment getdata [ 2.22180000e-02 2.25999355e-02 1.63766406e+03 3.79617188e+02] TIMING : Moment ren+mask_0 [ 2.95626000e-01 3.00101995e-01 1.63741406e+03 3.79367188e+02] 2022-02-04 02:47:08 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 [ 1.50809000e-01 3.70668173e-01 1.63741406e+03 3.79367188e+02] TIMING : Moment implot [ 7.75640000e-02 3.14436913e-01 1.63741406e+03 3.79367188e+02] TIMING : Moment getdata [ 2.18040000e-02 2.18760967e-02 1.63741406e+03 3.79367188e+02] TIMING : Moment ren+mask_1 [ 2.88646000e-01 2.93213844e-01 1.63741406e+03 3.79367188e+02] 2022-02-04 02:47:09 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 [ 1.53380000e-01 3.87042999e-01 1.63741406e+03 3.79367188e+02] TIMING : Moment implot [ 8.27180000e-02 3.09410095e-01 1.63741406e+03 3.79367188e+02] TIMING : Moment getdata [ 2.20480000e-02 2.21328735e-02 1.63741406e+03 3.79367188e+02] TIMING : Moment ren+mask_2 [ 2.84340000e-01 2.89571047e-01 1.63741406e+03 3.79367188e+02] REGRESSION : MOM0FLUX: x.U_115.3988 2.65736 28.5239 0.0330578 -295.216 -295.216 2.02172 TIMING : Moment mom0flux [ 5.24390000e-02 5.26280403e-02 1.63741406e+03 3.79367188e+02] TIMING : Moment flux-spectrum [ 2.79143000e-01 2.84048080e-01 1.63741406e+03 3.79367188e+02] TIMING : Moment done [ 1.56600000e-02 1.57048702e-02 1.63741406e+03 3.79367188e+02] TIMING : Moment END [ 2.050806 3.44579601] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.3988/lc-@2.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.3988/lc-@2.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.3988/lc-@2.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 [ 1.16403459e+02 1.64394283e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],13.402967 TIMING : CubeSpectrum Moment-pos [ 5.49180000e-02 5.50720692e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum open [ 1.25660000e-02 1.26049519e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imval [ 4.08890000e-02 4.10940647e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imhead [ 4.25160000e-02 4.26800251e-02 1.63741406e+03 3.79367188e+02] REGRESSION : CSP: [0.57790738344192505] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.78879000e-01 2.83674002e-01 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum summary [ 1.27910000e-02 1.28319263e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum END [ 0.455026 0.460464] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp INFO : INFO : INFO : Executing CubeSpectrum_AT - '@2' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 1.16919337e+02 1.64394283e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[28, 19],0.626956 TIMING : CubeSpectrum Moment-pos [ 5.52360000e-02 5.53958416e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum open [ 1.25780000e-02 1.26161575e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imval [ 3.72630000e-02 3.74357700e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imhead [ 4.24370000e-02 4.26011086e-02 1.63741406e+03 3.79367188e+02] REGRESSION : CSP: [0.059894617646932602] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.76484000e-01 2.81201124e-01 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum summary [ 1.26900000e-02 1.27248764e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum END [ 0.449124 0.4544518] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.(CH2OH)2_115.39456/lc-@2.csp INFO : INFO : INFO : Executing CubeSpectrum_AT - '@3' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 1.17428952e+02 1.64394283e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[77, 81],0.526747 TIMING : CubeSpectrum Moment-pos [ 6.12710000e-02 6.14521503e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum open [ 1.25770000e-02 1.26190186e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imval [ 3.77650000e-02 3.79598141e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum imhead [ 4.30970000e-02 4.32801247e-02 1.63741406e+03 3.79367188e+02] REGRESSION : CSP: [0.056649934500455856] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.87293000e-01 2.92119980e-01 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum summary [ 1.27890000e-02 1.28340721e-02 1.63741406e+03 3.79367188e+02] TIMING : CubeSpectrum END [ 0.467154 0.47266698] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3988/lc-@3.csp TIMING : ADMITrun END [ 116.040615 130.46533084] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 116.041 130.465 ]