========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-8/90911IPython 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 ', 'NGC5194_90911.nfs.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'NGC5194_90911.nfs.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-8/90911/NGC5194_90911.nfs.admit ADMIT root = /lma1/teuben/lmtoy/admit ADMIT version = 1.0.8.5 ADMIT flowcount = 1 stale = 0 ('Starting a new ADMIT using', 'NGC5194_90911.nfs.fits') ('Found parameter file to cp:', 'NGC5194_90911.nfs.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_90911.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 : NGC5194_90911.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 [ 2.22930300e+00 1.64394393e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [145 145 590] ALMA OBJECT = NGC5194 ALMA DATE-OBS = 2020-02-18T01:08:47 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 2.70348000e-01 2.77225018e-01 1.41106641e+03 2.18085938e+02] TIMING : Ingest importfits [ 1.80751000e-01 3.46338987e-01 1.41125391e+03 2.19265625e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 7.64480000e-02 2.20573902e-01 1.41177734e+03 2.20929688e+02] TIMING : Ingest summary-0 [ 1.42580000e-02 1.43811703e-02 1.41177734e+03 2.20929688e+02] TIMING : Ingest mask [ 6.82820000e-02 1.11690998e-01 1.41177734e+03 2.20929688e+02] TIMING : Ingest summary-1 [ 1.40300000e-02 1.83429718e-02 1.41177734e+03 2.20929688e+02] TIMING : Ingest statistics [ 1.07357000e-01 1.07614994e-01 1.41177734e+03 2.21644531e+02] 2022-02-04 03:05:33 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': 14.375001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.375001600000001, 'unit': 'arcsec'}} INFO : Ingest_AT.py : BASICS: [shape] npts min max: [145 145 590 1] 8803980 -0.075473 0.515486 INFO : Ingest_AT.py : S/N (all data): 26.282239 INFO : Ingest_AT.py : GOOD PIXELS: 8803980/12404750 (70.972652% good or 29.027348% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.075473 0.515486 0.0196135 145 145 590 29.027348 INFO : Ingest_AT.py : TELESCOPE: LMT INFO : Ingest_AT.py : OBJECT: NGC5194 INFO : Ingest_AT.py : REFFREQTYPE: LSRK INFO : Ingest_AT.py : RA Axis 1: 202.469600 -6.250000 72.000000 INFO : Ingest_AT.py : DEC Axis 2: 47.195170 6.250000 72.000000 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: 114.964 0.000390625 0 INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.078726 fw=0.230469 GHz INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1 INFO : Ingest_AT.py : VLSRc= 500.589066 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -599.393390 INFO : Ingest_AT.py : VLSR = 500.589066 errs = 0.000000 0.000000 0.000000 width = -1.015921 TIMING : Ingest done [ 6.16721000e-01 6.40721083e-01 1.41482031e+03 2.25281250e+02] TIMING : Ingest END [ 1.360167 1.74889612] 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 [ 3.64977600e+00 1.64394393e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.24540000e-02 5.33530712e-02 1.41572656e+03 2.26500000e+02] TIMING : CubeStats start [ 1.24610000e-02 1.25100613e-02 1.41572656e+03 2.26500000e+02] TIMING : CubeStats imstat0 [ 4.67738000e-01 4.69627857e-01 1.41454297e+03 2.26042969e+02] TIMING : CubeStats imstat1 [ 5.55793000e-01 5.57277203e-01 1.41407031e+03 2.25753906e+02] INFO : CubeStats_AT.py : sigma varies from 0.005508 to 0.017503; 590/590 channels ok WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0110157 (3.17789 > 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 [ 8.91183000e-01 8.94399881e-01 1.42085547e+03 2.32417969e+02] INFO : CubeStats_AT.py : CubeMax: 0.515486 @ [ 73 67 262 0] INFO : CubeStats_AT.py : CubeMin: -0.075473 @ [22 74 24 0] INFO : CubeStats_AT.py : CubeRMS: 0.011058 INFO : CubeStats_AT.py : RMS Sanity check 1.773730 WARNING : CubeStats_AT.py : RMS sanity check = 1.773730. Either bad sidelobes, lotsa signal, or both REGRESSION : CST: 0.011058 1.773730 INFO : CubeStats_AT.py : mean,rms,S/N=0.000660 0.011058 46.617601 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 3.112381 3.695236 /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 [ 2.284084 2.47552609 1455.0234375 264.91015625] TIMING : CubeStats done [ 1.36090000e-02 1.36539936e-02 1.45502344e+03 2.64910156e+02] TIMING : CubeStats summary [ 1.21440000e-02 1.21970177e-02 1.45502344e+03 2.64910156e+02] TIMING : CubeStats END [ 4.301584 4.50070715] 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 [ 8.01076600e+00 1.64394394e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.011058 TIMING : CubeSum start [ 5.22860000e-02 5.24411201e-02 1.45502344e+03 2.64914062e+02] TIMING : CubeSum immoments [ 1.50369000e-01 2.13248968e-01 1.46258594e+03 2.72925781e+02] 2022-02-04 03:05:39 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.02790000e-02 2.03609467e-02 1.46258594e+03 2.72925781e+02] INFO : CubeSum_AT.py : Total flux: 471818.169703 (sum=12078.546690) REGRESSION : CSM: [471818.16970338766, 12078.546690460651] TIMING : CubeSum implot [ 1.44118000e-01 6.10233712e+00 1.53458984e+03 2.72953125e+02] TIMING : CubeSum getdata [ 2.16430000e-02 2.17628479e-02 1.53458984e+03 2.72953125e+02] TIMING : CubeSum done [ 2.33118000e-01 2.52663136e-01 1.53458984e+03 2.73015625e+02] TIMING : CubeSum END [ 0.635119 6.67617416] 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 [ 8.70555800e+00 1.64394395e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.37520000e-02 3.39019299e-02 1.53458984e+03 2.73015625e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.20930000e-02 4.23920155e-02 1.53458984e+03 2.73015625e+02] INFO : AT.py : Setting 'sigma' = 1.54276131191 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.54276 -0.808097 29.9848 35 0.205806 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 03:05:45 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 03:05:46 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 03:05:46 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 03:05:46 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 03:05:46 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 6.93601000e-01 7.04015017e-01 1.53458984e+03 2.73015625e+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 : 13:29:51.552 +47.11.34.26 73.88 70.66 24.9 763 91.906 58.215 4.1 16.2 INFO : SFind2D_AT.py : 13:30:00.263 +47.13.02.45 59.68 84.78 9.5 228 110.492 45.434 148.1 6.2 INFO : SFind2D_AT.py : 13:29:45.294 +47.10.16.46 84.09 58.22 8.42 236 97.725 57.178 154.4 5.5 INFO : SFind2D_AT.py : 13:29:45.791 +47.11.59.84 83.27 74.76 9.03 41.9 31.250 31.250 180.0 5.9 INFO : SFind2D_AT.py : 13:29:44.921 +47.10.09.07 84.70 57.04 8.32 324 170.389 47.513 126.2 5.4 INFO : SFind2D_AT.py : 13:30:02.072 +47.12.29.29 56.72 79.47 7.61 36.1 31.250 31.250 90.0 4.9 INFO : SFind2D_AT.py : 13:30:01.128 +47.11.54.48 58.26 73.90 7.6 33.9 31.250 31.250 90.0 4.9 INFO : SFind2D_AT.py : 13:29:56.600 +47.13.51.64 65.65 92.65 6.41 30.6 31.250 31.250 0.0 4.2 INFO : SFind2D_AT.py : 13:29:51.980 +47.09.31.69 73.18 51.05 5.88 106 96.496 36.820 102.2 3.8 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 3.32218000e-01 3.38086843e-01 1.53458984e+03 2.73562500e+02] REGRESSION : CONTFLUX: 9 1798.53 INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size. INFO : SFind2D_AT.py : Restoring Beam: Major axis: 14.4 arcsec , Minor axis: 14.4 arcsec , PA: 0.0 deg TIMING : SFind2D done [ 2.73727000e-01 2.92479992e-01 1.53458984e+03 2.73601562e+02] TIMING : SFind2D END [ 1.388791 1.42431998] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 8.259781 14.97979498] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.25978 14.9798 ] ('N sources in CSM:', 9) ('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 [ 1.03027090e+01 1.64394395e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[73, 67, 262],0.515486 TIMING : CubeSpectrum CubeStats-pos [ 4.77150000e-02 4.78491783e-02 1.53458984e+03 2.73601562e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[75, 70],29.984840 TIMING : CubeSpectrum Moment-pos [ 4.24080000e-02 4.25348282e-02 1.53458984e+03 2.73601562e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m51.552s', '+47d11m34.26s'),24.932289 TIMING : CubeSpectrum SourceList-pos [ 3.58710000e-02 3.59599590e-02 1.53458984e+03 2.73601562e+02] TIMING : CubeSpectrum open [ 1.21800000e-02 1.22151375e-02 1.53458984e+03 2.73601562e+02] TIMING : CubeSpectrum imval [ 4.70530000e-02 4.72900867e-02 1.53458984e+03 2.73957031e+02] TIMING : CubeSpectrum imhead [ 4.44700000e-02 4.46279049e-02 1.53458984e+03 2.73957031e+02] TIMING : CubeSpectrum imval [ 2.35584000e-01 2.54175901e-01 1.53458984e+03 2.73957031e+02] TIMING : CubeSpectrum imval [ 2.56398000e-01 2.75398016e-01 1.53458984e+03 2.74019531e+02] REGRESSION : CSP: [0.33226931095123291, 0.51548552513122559, 0.46312695741653442] INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.72022000e-01 2.91336060e-01 1.53458984e+03 2.74019531e+02] TIMING : CubeSpectrum summary [ 1.26670000e-02 1.27060413e-02 1.53458984e+03 2.74019531e+02] TIMING : CubeSpectrum END [ 1.01877 1.07653308] 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 [ 1.13825340e+01 1.64394395e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.46870000e-02 2.47550011e-02 1.53458984e+03 2.74019531e+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 [ 26.875842 26.95541978 1534.58984375 274.58203125] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [37, 40] WARNING : specutil.py : 1 [235, 400] WARNING : specutil.py : 0 [224, 320] WARNING : specutil.py : 1 [328, 334] WARNING : specutil.py : 2 [339, 347] WARNING : specutil.py : 3 [387, 390] WARNING : specutil.py : 0 [241, 376] WARNING : specutil.py : 1 [387, 390] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [224, 417] WARNING : specutil.py : 1 [427, 429] WARNING : specutil.py : 0 [36, 39] WARNING : specutil.py : 1 [65, 68] WARNING : specutil.py : 2 [100, 103] WARNING : specutil.py : 3 [136, 140] WARNING : specutil.py : 4 [218, 222] WARNING : specutil.py : 5 [551, 554] TIMING : LineSegment segment finder [ 4.501586 4.51259804 1534.58984375 274.58203125] INFO : LineSegment_AT.py : Segment Coverage 181 / 590 = 0.30678 REGRESSION : LINESEG: [[115.05118676365392, 115.12657739376077], [115.13048364402538, 115.1312648940783], [114.97774925867935, 114.97892113375873], [114.9890773844467, 114.99024925952608], [115.00274926037282, 115.00392113545219], [115.0168117613254, 115.01837426143123], [115.04884301349514, 115.05040551360098], [115.17892114730647, 115.18009302238585], [114.97813988370581, 114.97931175878519], [115.05548363894498, 115.11993676831095], [115.05118676365392, 115.0886867661941], [115.0918117664058, 115.09415551656456], [115.09610864169686, 115.09923364190854], [115.11485864296696, 115.11603051804634], [115.05782738910375, 115.11056176767589], [115.11485864296696, 115.11603051804634]] TIMING : LineSegment done [ 2.188597 2.320961 1558.78125 298.64453125] TIMING : LineSegment END [ 33.603042 33.82610583] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 43.157797 50.2135272] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 43.1578 50.2135 ] Found 8 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 43.255398 50.37002015] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 43.2554 50.37 ] ('OBJECT = ', 'NGC5194') ('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 [ 4.53235270e+01 1.64394398e+09] TIMING : LineID BEGIN [ 0. 0.] INFO : LineID_AT.py : Set vlsr = 500.59 for line identification. INFO : LineID_AT.py : Identifylines = True INFO : LineID_AT.py : Using vlsr = 500.589 INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra TIMING : LineID getspectrum-cubespecs [ 16.973565 17.01939106 1558.78125 298.6484375 ] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 10.073011 10.09831095 1558.78125 298.6484375 ] TIMING : LineID segment finder [ 1.43290000e-02 1.43709183e-02 1.55878125e+03 2.98648438e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [37, 40] WARNING : specutil.py : 1 [235, 400] WARNING : specutil.py : 0 [224, 320] WARNING : specutil.py : 1 [328, 334] WARNING : specutil.py : 2 [339, 347] WARNING : specutil.py : 3 [387, 390] WARNING : specutil.py : 0 [241, 376] WARNING : specutil.py : 1 [387, 390] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [224, 417] WARNING : specutil.py : 1 [427, 429] WARNING : specutil.py : 0 [36, 39] WARNING : specutil.py : 1 [65, 68] WARNING : specutil.py : 2 [100, 103] WARNING : specutil.py : 3 [136, 140] WARNING : specutil.py : 4 [218, 222] WARNING : specutil.py : 5 [551, 554] 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 : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 36 - 554 REGRESSION : LINEID: CO 115.27120 36 554 INFO : LineID_AT.py : Line Coverage 519 / 590 = 0.879661 TIMING : LineID done [ 16.714832 16.90557003 1656.3359375 396.28515625] TIMING : LineID END [ 43.789727 44.05167007] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 87.371767 94.81573105] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 87.3718 94.8157 ] 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 [ 8.93927100e+01 1.64394403e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 1.24271000e-01 1.24914885e-01 1.60689844e+03 3.47007812e+02] TIMING : LineCube pad [ 1.30110000e-02 1.30479336e-02 1.60689844e+03 3.47007812e+02] TIMING : LineCube trans-x.CO_115.27120 [ 1.10872000e-01 1.68368101e-01 1.60689844e+03 3.47250000e+02] REGRESSION : LC: [31, 559] TIMING : LineCube done [ 2.49800000e-02 2.50449181e-02 1.60689844e+03 3.47250000e+02] TIMING : LineCube END [ 0.285481 0.34375978] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im TIMING : ADMITrun END [ 87.828439 95.38981819] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 87.8284 95.3898 ] 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 [ 8.99455310e+01 1.64394403e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.86820000e-02 4.88040447e-02 1.60689844e+03 3.47250000e+02] TIMING : Moment immoments-0 [ 1.59030000e-01 2.21357822e-01 1.62566406e+03 3.65890625e+02] TIMING : Moment mom0clip [ 7.11260000e-02 2.39927053e-01 1.62566406e+03 3.66078125e+02] TIMING : Moment implot [ 1.08109000e-01 3.76441002e-01 1.62566406e+03 3.66136719e+02] TIMING : Moment getdata [ 2.10640000e-02 2.11310387e-02 1.62566406e+03 3.66136719e+02] TIMING : Moment ren+mask_0 [ 3.36067000e-01 3.41219902e-01 1.63082422e+03 3.71296875e+02] TIMING : Moment done [ 1.51680000e-02 1.52301788e-02 1.63082422e+03 3.71296875e+02] TIMING : Moment END [ 0.771678 1.27660894] 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 [ 9.07783130e+01 1.64394403e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.85710000e-02 4.87489700e-02 1.63082422e+03 3.71296875e+02] TIMING : Moment immoments-all [ 1.71932000e-01 3.75452042e-01 1.63082422e+03 3.71296875e+02] TIMING : Moment mom0clip [ 7.04690000e-02 2.37957954e-01 1.63082422e+03 3.71296875e+02] TIMING : Moment implot [ 9.41600000e-02 3.77850056e-01 1.63082422e+03 3.71296875e+02] TIMING : Moment getdata [ 2.14150000e-02 2.14960575e-02 1.63082422e+03 3.71296875e+02] TIMING : Moment ren+mask_0 [ 2.62769000e-01 2.67509937e-01 1.63057422e+03 3.71046875e+02] 2022-02-04 03:07:10 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 [ 1.55752000e-01 8.56826067e-01 1.63057422e+03 3.71492188e+02] TIMING : Moment implot [ 7.79430000e-02 3.15141916e-01 1.63057422e+03 3.71492188e+02] TIMING : Moment getdata [ 2.11170000e-02 2.11970806e-02 1.63057422e+03 3.71492188e+02] TIMING : Moment ren+mask_1 [ 2.64981000e-01 2.69732952e-01 1.63057422e+03 3.71949219e+02] 2022-02-04 03:07:12 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 [ 1.53732000e-01 3.78539085e-01 1.63057422e+03 3.71949219e+02] TIMING : Moment implot [ 7.65720000e-02 3.06303978e-01 1.63057422e+03 3.71949219e+02] TIMING : Moment getdata [ 2.06470000e-02 2.07219124e-02 1.63057422e+03 3.71949219e+02] TIMING : Moment ren+mask_2 [ 2.55059000e-01 2.59809017e-01 1.63057422e+03 3.71949219e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 10426.5 7370.82 0.0256 465.294 465.294 42.4682 TIMING : Moment mom0flux [ 5.18560000e-02 5.20060062e-02 1.63057422e+03 3.71949219e+02] TIMING : Moment flux-spectrum [ 7.27551000e-01 7.33294010e-01 1.63032422e+03 3.71710938e+02] TIMING : Moment done [ 1.48070000e-02 1.48549080e-02 1.63032422e+03 3.71710938e+02] TIMING : Moment END [ 2.501621 4.56978011] 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 [ 9.33875660e+01 1.64394403e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[75, 70],30.523739 TIMING : CubeSpectrum Moment-pos [ 5.45350000e-02 5.46960831e-02 1.63032422e+03 3.71710938e+02] TIMING : CubeSpectrum open [ 1.23740000e-02 1.24108791e-02 1.63032422e+03 3.71710938e+02] TIMING : CubeSpectrum imval [ 4.05120000e-02 4.07021046e-02 1.63032422e+03 3.71710938e+02] TIMING : CubeSpectrum imhead [ 4.25940000e-02 4.27529812e-02 1.63032422e+03 3.71710938e+02] REGRESSION : CSP: [0.46312695741653442] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.58015000e-01 2.61708021e-01 1.63007422e+03 3.71460938e+02] TIMING : CubeSpectrum summary [ 1.25830000e-02 1.26168728e-02 1.63007422e+03 3.71460938e+02] TIMING : CubeSpectrum END [ 0.432938 0.43725014] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp TIMING : ADMITrun END [ 91.987454 102.1937542] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 91.9875 102.194 ]