========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-64/92178IPython 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_92178.nfs.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'SEXTANS-A_92178.nfs.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-64/92178/SEXTANS-A_92178.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_92178.nfs.fits') ('Found parameter file to cp:', 'SEXTANS-A_92178.nfs.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92178.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_92178.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 [ 2.12890500e+00 1.64394519e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 55 55 689] ALMA OBJECT = SEXTANS-A ALMA DATE-OBS = 2020-03-06T02:10:01 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 1.69510000e-01 1.75691843e-01 1.41056250e+03 2.17437500e+02] TIMING : Ingest importfits [ 1.10074000e-01 1.48469210e-01 1.41057812e+03 2.18570312e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 5.60680000e-02 1.44059896e-01 1.41308594e+03 2.22105469e+02] TIMING : Ingest summary-0 [ 1.43520000e-02 1.44109726e-02 1.41308594e+03 2.22105469e+02] TIMING : Ingest mask [ 2.82610000e-02 7.95869827e-02 1.41308594e+03 2.22105469e+02] TIMING : Ingest summary-1 [ 1.37680000e-02 1.75759792e-02 1.41308594e+03 2.22105469e+02] TIMING : Ingest statistics [ 4.85900000e-02 4.87260818e-02 1.41113281e+03 2.21308594e+02] 2022-02-04 03:26:29 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] 1933334 -0.054728 0.049264 INFO : Ingest_AT.py : S/N (all data): 6.611284 INFO : Ingest_AT.py : GOOD PIXELS: 1933334/2084225 (92.760331% good or 7.239669% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.0547278 0.049264 0.0074515 55 55 689 7.239669 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 [ 5.66046000e-01 5.70800066e-01 1.41468750e+03 2.25140625e+02] TIMING : Ingest END [ 1.018814 1.21149993] 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 [ 3.20864700e+00 1.64394519e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.22320000e-02 5.24690151e-02 1.41393750e+03 2.24472656e+02] TIMING : CubeStats start [ 1.24980000e-02 1.25370026e-02 1.41393750e+03 2.24472656e+02] TIMING : CubeStats imstat0 [ 1.30524000e-01 1.30988121e-01 1.43180078e+03 2.43136719e+02] TIMING : CubeStats imstat1 [ 1.55977000e-01 1.56486988e-01 1.43452344e+03 2.45703125e+02] INFO : CubeStats_AT.py : sigma varies from 0.003737 to 0.007778; 689/689 channels ok WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00747418 (2.08117 > 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 [ 7.67773000e-01 7.70521879e-01 1.43452344e+03 2.45804688e+02] INFO : CubeStats_AT.py : CubeMax: 0.049264 @ [27 13 7 0] INFO : CubeStats_AT.py : CubeMin: -0.054728 @ [45 36 20 0] INFO : CubeStats_AT.py : CubeRMS: 0.005816 INFO : CubeStats_AT.py : RMS Sanity check 1.281288 REGRESSION : CST: 0.005816 1.281288 INFO : CubeStats_AT.py : mean,rms,S/N=-0.000073 0.005816 8.470955 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.064873 2.113700 /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 [ 2.467371 2.64024401 1458.421875 267.98046875] TIMING : CubeStats done [ 1.38230000e-02 1.38590336e-02 1.45842188e+03 2.67980469e+02] TIMING : CubeStats summary [ 1.22040000e-02 1.22520924e-02 1.45842188e+03 2.67980469e+02] TIMING : CubeStats END [ 3.624522 3.8015151] INFO : AT.py : BDP_OUT[0] = CubeStats_BDP x.cst INFO : INFO : INFO : Executing CubeSum_AT - '' (V1.2.2) INFO : INFO : INFO : Run using the following settings: INFO : linesum : True INFO : numsigma : 4.0 INFO : zoom : 1 INFO : pad : 5 INFO : sigma : 99.0 INFO : TIMING : CubeSum ADMIT [ 6.89300200e+00 1.64394519e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.005816 TIMING : CubeSum start [ 5.19970000e-02 5.21459579e-02 1.45842188e+03 2.67984375e+02] TIMING : CubeSum immoments [ 6.19730000e-02 1.68875933e-01 1.45842188e+03 2.68308594e+02] 2022-02-04 03:26:33 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 1.99210000e-02 1.99921131e-02 1.45842188e+03 2.68308594e+02] INFO : CubeSum_AT.py : Total flux: 247.350769 (sum=8.176883) REGRESSION : CSM: [247.35076858734689, 8.1768825332487722] TIMING : CubeSum implot [ 1.45572000e-01 6.07488298e+00 1.53042578e+03 2.68335938e+02] TIMING : CubeSum getdata [ 2.12400000e-02 2.13129520e-02 1.53042578e+03 2.68335938e+02] TIMING : CubeSum done [ 2.44638000e-01 2.63170004e-01 1.53042578e+03 2.68402344e+02] TIMING : CubeSum END [ 0.558954 6.61402607] 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 [ 7.51247900e+00 1.64394520e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.88300000e-02 3.89420986e-02 1.53042578e+03 2.68402344e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.08270000e-02 4.10468578e-02 1.53042578e+03 2.68402344e+02] INFO : AT.py : Setting 'sigma' = 0.0989128875578 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.0989129 -1.32751 1.22581 35 0.322768 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 03:26:40 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 1.01444000e-01 1.09094143e-01 1.53042578e+03 2.68703125e+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 : 10:11:09.001 -04.41.18.31 24.58 37.62 1.12 3.74 31.315 14.240 86.9 11.3 INFO : SFind2D_AT.py : 10:11:09.025 -04.43.33.63 24.52 13.01 1.11 3.98 35.848 14.314 88.8 11.2 INFO : SFind2D_AT.py : 10:11:09.188 -04.41.18.15 24.08 37.65 1.12 4.54 39.793 14.037 86.5 11.3 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 1.82320000e-01 1.86697006e-01 1.53042578e+03 2.69128906e+02] REGRESSION : CONTFLUX: 3 12.2657 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 [ 3.02992000e-01 3.21878910e-01 1.53042578e+03 2.69167969e+02] TIMING : SFind2D END [ 0.679842 0.71115804] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 6.479832 13.03078914] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.47983 13.0308 ] ('N sources in CSM:', 3) ('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 [ 8.40765900e+00 1.64394520e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[27, 13, 7],0.049264 TIMING : CubeSpectrum CubeStats-pos [ 4.84350000e-02 4.85570431e-02 1.53042578e+03 2.69167969e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 38],1.225808 TIMING : CubeSpectrum Moment-pos [ 4.19980000e-02 4.21228409e-02 1.53042578e+03 2.69167969e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('10h11m09.001s', '-04d41m18.31s'),1.116341 TIMING : CubeSpectrum SourceList-pos [ 3.62570000e-02 3.63481045e-02 1.53042578e+03 2.69167969e+02] TIMING : CubeSpectrum open [ 1.22950000e-02 1.23300552e-02 1.53042578e+03 2.69167969e+02] TIMING : CubeSpectrum imval [ 4.38650000e-02 4.40709591e-02 1.53042578e+03 2.69523438e+02] TIMING : CubeSpectrum imhead [ 4.18910000e-02 4.20398712e-02 1.53042578e+03 2.69523438e+02] TIMING : CubeSpectrum imval [ 2.60725000e-01 2.79235125e-01 1.53042578e+03 2.69667969e+02] TIMING : CubeSpectrum imval [ 2.63243000e-01 2.82296896e-01 1.53042578e+03 2.69667969e+02] REGRESSION : CSP: [0.047215290367603302, 0.044647514820098877, 0.049263976514339447] INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.93185000e-01 3.12077999e-01 1.53042578e+03 2.69667969e+02] TIMING : CubeSpectrum summary [ 1.23440000e-02 1.23770237e-02 1.53042578e+03 2.69667969e+02] TIMING : CubeSpectrum END [ 1.066419 1.12366986] 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 [ 9.53448100e+00 1.64394520e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.43430000e-02 2.44069099e-02 1.53042578e+03 2.69667969e+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 [ 31.012602 31.08656812 1530.42578125 270.0546875 ] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [0, 36] WARNING : specutil.py : 1 [104, 109] WARNING : specutil.py : 2 [210, 219] WARNING : specutil.py : 3 [230, 234] WARNING : specutil.py : 4 [243, 246] WARNING : specutil.py : 0 [0, 35] WARNING : specutil.py : 1 [102, 109] WARNING : specutil.py : 2 [210, 219] WARNING : specutil.py : 3 [243, 246] WARNING : specutil.py : 4 [382, 385] WARNING : specutil.py : 0 [0, 40] WARNING : specutil.py : 1 [124, 127] WARNING : specutil.py : 2 [179, 183] WARNING : specutil.py : 3 [209, 212] WARNING : specutil.py : 4 [225, 228] WARNING : specutil.py : 5 [479, 483] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [0, 9] WARNING : specutil.py : 1 [17, 20] WARNING : specutil.py : 2 [26, 32] WARNING : specutil.py : 0 [11, 22] WARNING : specutil.py : 1 [38, 41] TIMING : LineSegment segment finder [ 4.767643 4.77885389 1530.42578125 270.0546875 ] INFO : LineSegment_AT.py : Segment Coverage 91 / 689 = 0.132075 REGRESSION : LINESEG: [[115.01551511760091, 115.01903074283905], [115.02215574305073, 115.02332761813011], [115.02567136828888, 115.02801511844764], [115.01981199289197, 115.02410886818303], [115.0303588686064, 115.03153074368579], [115.01551511760091, 115.02957761855349], [115.05614012035278, 115.0580932454851], [115.0975463731576, 115.10106199839574], [115.1053588736868, 115.10692137379264], [115.1104369990308, 115.11160887411017], [115.01551511760091, 115.02918699352702], [115.05535887029987, 115.0580932454851], [115.0975463731576, 115.10106199839574], [115.1104369990308, 115.11160887411017], [115.16473387770878, 115.16590575278816], [115.01551511760091, 115.03114011865932], [115.06395262088201, 115.06512449596138], [115.08543699733733, 115.08699949744316], [115.09715574813113, 115.09832762321051], [115.10340574855451, 115.10457762363389], [115.20262450527545, 115.20418700538129]] TIMING : LineSegment done [ 2.453791 2.58543301 1553.18359375 292.81640625] TIMING : LineSegment END [ 38.27095 38.48787189] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 46.104103 52.98508 ] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.1041 52.9851 ] Found 10 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 46.202289 53.15806794] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.2023 53.1581 ] ('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 [ 4.81556920e+01 1.64394524e+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 [ 21.148432 21.20342207 1553.18359375 292.81640625] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 9.933666 9.95925999 1553.18359375 292.81640625] TIMING : LineID segment finder [ 1.42660000e-02 1.43048763e-02 1.55318359e+03 2.92816406e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [0, 36] WARNING : specutil.py : 1 [104, 109] WARNING : specutil.py : 2 [210, 219] WARNING : specutil.py : 3 [230, 234] WARNING : specutil.py : 4 [243, 246] WARNING : specutil.py : 0 [0, 35] WARNING : specutil.py : 1 [102, 109] WARNING : specutil.py : 2 [210, 219] WARNING : specutil.py : 3 [243, 246] WARNING : specutil.py : 4 [382, 385] WARNING : specutil.py : 0 [0, 40] WARNING : specutil.py : 1 [124, 127] WARNING : specutil.py : 2 [179, 183] WARNING : specutil.py : 3 [209, 212] WARNING : specutil.py : 4 [225, 228] WARNING : specutil.py : 5 [479, 483] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [0, 9] WARNING : specutil.py : 1 [17, 20] WARNING : specutil.py : 2 [26, 32] WARNING : specutil.py : 0 [11, 22] WARNING : specutil.py : 1 [38, 41] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 22.4 km/s INFO : LineID_AT.py : Found line: cis-CH2OHCHOv=0 5(3,2)-5(1,5) @ 115.14036GHz, channels 0 - 36 REGRESSION : LINEID: cis-CH2OHCHOv=0 115.14036 0 36 INFO : LineID_AT.py : Found line: CH2CHCNv=0 23(2,21)-23(1,22) @ 115.15061GHz, channels 38 - 41 REGRESSION : LINEID: CH2CHCNv=0 115.15061 38 41 INFO : LineID_AT.py : Found line: NS J=5/2-3/2,&Omega=1/2,F=7/2-5/2,l=e @ 115.15394GHz, channels 18 - 40 REGRESSION : LINEID: NS 115.15394 18 40 INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 102 - 483 REGRESSION : LINEID: CO 115.27120 102 483 INFO : LineID_AT.py : Line Coverage 424 / 689 = 0.615385 TIMING : LineID done [ 20.347734 21.03758311 1667.17578125 408.53125 ] TIMING : LineID END [ 51.45826 52.22876906] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 98.0035 105.82415199] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 98.0035 105.824 ] Found 4 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 [ 9.99097310e+01 1.64394529e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 6.93380000e-02 6.96368217e-02 1.63364062e+03 3.75023438e+02] TIMING : LineCube pad [ 1.42940000e-02 1.43392086e-02 1.63364062e+03 3.75023438e+02] WARNING : LineCube_AT.py : pad=5 too large, start=-5 resetting to 0 TIMING : LineCube trans-x.CH2OHCHO_115.14036 [ 9.76840000e-02 2.21567869e-01 1.63364062e+03 3.75144531e+02] TIMING : LineCube trans-x.CH2CHCN_115.15061 [ 6.95080000e-02 1.56302929e-01 1.63364062e+03 3.75144531e+02] TIMING : LineCube trans-x.NS_115.15394 [ 6.98150000e-02 1.66117191e-01 1.63364062e+03 3.75144531e+02] TIMING : LineCube trans-x.CO_115.27120 [ 7.44080000e-02 1.57703876e-01 1.63364062e+03 3.75144531e+02] REGRESSION : LC: [0, 41, 33, 46, 13, 45, 97, 488] TIMING : LineCube done [ 2.51520000e-02 2.52380371e-02 1.63364062e+03 3.75144531e+02] TIMING : LineCube END [ 0.432661 0.82340193] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CH2OHCHO_115.14036/lc.im INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.CH2CHCN_115.15061/lc.im INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.NS_115.15394/lc.im INFO : AT.py : BDP_OUT[3] = LineCube_BDP x.CO_115.27120/lc.im TIMING : ADMITrun END [ 98.686195 106.9559691] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 98.6862 106.956 ] Found 4 lines in LineCube ('LineDir:', 0, 'x.CH2OHCHO_115.14036/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.CH2CHCN_115.15061/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.NS_115.15394/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) ('LineDir:', 3, 'x.CO_115.27120/lc.im') ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('MOMENT_AT:', 14) 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 - '@4' (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 [ 1.00831221e+02 1.64394529e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.92490000e-02 4.93650436e-02 1.63364062e+03 3.75144531e+02] TIMING : Moment immoments-0 [ 6.75630000e-02 2.40911961e-01 1.63364062e+03 3.75144531e+02] TIMING : Moment mom0clip [ 6.86980000e-02 1.42948866e-01 1.63364062e+03 3.75332031e+02] TIMING : Moment implot [ 1.00279000e-01 3.52212191e-01 1.63364062e+03 3.75390625e+02] TIMING : Moment getdata [ 2.21450000e-02 2.22280025e-02 1.63364062e+03 3.75390625e+02] TIMING : Moment ren+mask_0 [ 4.64841000e-01 4.69721794e-01 1.63527344e+03 3.77023438e+02] TIMING : Moment done [ 1.62060000e-02 1.62651539e-02 1.63527344e+03 3.77023438e+02] TIMING : Moment END [ 0.801339 1.30605698] INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@4.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 [ 1.01693709e+02 1.64394530e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.88480000e-02 4.89640236e-02 1.63527344e+03 3.77023438e+02] TIMING : Moment immoments-all [ 6.91900000e-02 1.93747044e-01 1.63527344e+03 3.77023438e+02] TIMING : Moment mom0clip [ 6.79260000e-02 9.21649933e-02 1.63527344e+03 3.77023438e+02] TIMING : Moment implot [ 9.31220000e-02 3.38855028e-01 1.63527344e+03 3.77023438e+02] TIMING : Moment getdata [ 2.18200000e-02 2.18920708e-02 1.63527344e+03 3.77023438e+02] TIMING : Moment ren+mask_0 [ 3.27360000e-01 3.32356930e-01 1.63502344e+03 3.76773438e+02] 2022-02-04 03:28:17 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 [ 1.50903000e-01 4.80028868e-01 1.63502344e+03 3.77410156e+02] TIMING : Moment implot [ 7.99020000e-02 3.12813044e-01 1.63502344e+03 3.77410156e+02] TIMING : Moment getdata [ 2.13180000e-02 2.13880539e-02 1.63502344e+03 3.77410156e+02] TIMING : Moment ren+mask_1 [ 3.40542000e-01 3.45650911e-01 1.63502344e+03 3.77500000e+02] 2022-02-04 03:28:19 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 [ 1.49695000e-01 5.34749985e-01 1.63502344e+03 3.77500000e+02] TIMING : Moment implot [ 8.10930000e-02 3.10758114e-01 1.63502344e+03 3.77500000e+02] TIMING : Moment getdata [ 2.17480000e-02 2.18489170e-02 1.63502344e+03 3.77500000e+02] TIMING : Moment ren+mask_2 [ 3.20916000e-01 3.25829983e-01 1.63502344e+03 3.77500000e+02] REGRESSION : MOM0FLUX: x.CH2OHCHO_115.14036 66.2024 69.9379 0.0330578 306.63 306.63 1.24565 TIMING : Moment mom0flux [ 5.19520000e-02 5.20970821e-02 1.63502344e+03 3.77500000e+02] TIMING : Moment flux-spectrum [ 3.20356000e-01 3.25254917e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment done [ 1.59740000e-02 1.60191059e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment END [ 2.195066 3.786865] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH2OHCHO_115.14036/lc.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH2OHCHO_115.14036/lc.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH2OHCHO_115.14036/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 [ 1.03998335e+02 1.64394530e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.86650000e-02 4.88219261e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment immoments-all [ 6.64670000e-02 2.70387888e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment mom0clip [ 6.73200000e-02 1.33005142e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 9.47890000e-02 3.39326859e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.14700000e-02 2.15420723e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_0 [ 3.22784000e-01 3.27632904e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:22 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 [ 1.53794000e-01 6.33489132e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 8.15800000e-02 3.11936855e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.20120000e-02 2.21052170e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_1 [ 3.10074000e-01 3.15854788e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:23 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 [ 1.51654000e-01 5.02717018e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 7.97360000e-02 3.08624983e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.16350000e-02 2.17101574e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_2 [ 2.97450000e-01 3.02082062e-01 1.63452344e+03 3.77000000e+02] REGRESSION : MOM0FLUX: x.CH2CHCN_115.15061 0.683786 6.44026 0.0330578 313.725 313.725 1.10261 TIMING : Moment mom0flux [ 5.38780000e-02 5.40878773e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment flux-spectrum [ 3.41523000e-01 3.46425056e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment done [ 1.60240000e-02 1.60698891e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment END [ 2.163286 3.98831296] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH2CHCN_115.15061/lc-@1.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH2CHCN_115.15061/lc-@1.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH2CHCN_115.15061/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 [ 1.06271099e+02 1.64394530e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.85470000e-02 4.86600399e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment immoments-all [ 6.87150000e-02 2.38503933e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment mom0clip [ 6.79900000e-02 1.25780106e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 9.33210000e-02 3.37710857e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.26750000e-02 2.25930214e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_0 [ 3.14414000e-01 3.19332123e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:26 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 [ 1.51667000e-01 5.11109829e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 7.91090000e-02 3.07106018e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.21950000e-02 2.29911804e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_1 [ 3.24049000e-01 3.29355001e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:27 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 [ 1.51118000e-01 5.47906876e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 7.82770000e-02 3.09437037e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.20880000e-02 2.26409435e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_2 [ 3.24545000e-01 3.29895973e-01 1.63452344e+03 3.77000000e+02] REGRESSION : MOM0FLUX: x.NS_115.15394 14.3132 40.2823 0.0330578 334.536 334.536 1.89991 TIMING : Moment mom0flux [ 5.20150000e-02 5.22551537e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment flux-spectrum [ 3.14454000e-01 3.19584846e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment done [ 1.58540000e-02 1.59070492e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment END [ 2.16346 3.87325001] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.NS_115.15394/lc-@2.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.NS_115.15394/lc-@2.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.NS_115.15394/lc-@2.mom_2 INFO : INFO : INFO : Executing Moment_AT - '@3' (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 [ 1.08544346e+02 1.64394531e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.88420000e-02 4.89559174e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment immoments-all [ 7.82720000e-02 2.32280970e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment mom0clip [ 7.17730000e-02 1.29693031e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 1.09170000e-01 3.52337122e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.58250000e-02 2.59339809e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_0 [ 2.98751000e-01 3.03781033e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:29 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 [ 1.50531000e-01 3.84744883e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 7.76830000e-02 3.14395905e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.11830000e-02 2.12531090e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_1 [ 2.84510000e-01 2.89463997e-01 1.63452344e+03 3.77000000e+02] 2022-02-04 03:28:31 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 [ 1.49933000e-01 4.76516008e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment implot [ 7.79270000e-02 3.10532093e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment getdata [ 2.08970000e-02 2.09698677e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment ren+mask_2 [ 2.91738000e-01 2.96678066e-01 1.63452344e+03 3.77000000e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 -122.476 39.1103 0.0330578 353.645 353.645 28.8284 TIMING : Moment mom0flux [ 5.21740000e-02 5.23450375e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment flux-spectrum [ 3.58218000e-01 3.63391876e-01 1.63452344e+03 3.77000000e+02] TIMING : Moment done [ 1.54030000e-02 1.54421329e-02 1.63452344e+03 3.77000000e+02] TIMING : Moment END [ 2.145139 3.651088] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@3.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@3.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc-@3.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 [ 1.10798686e+02 1.64394531e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 13],1.358218 TIMING : CubeSpectrum Moment-pos [ 5.44820000e-02 5.46510220e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum open [ 1.24240000e-02 1.24588013e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imval [ 3.69010000e-02 3.70900631e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imhead [ 4.23240000e-02 4.24840450e-02 1.63452344e+03 3.77000000e+02] REGRESSION : CSP: [0.042162727564573288] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.73071000e-01 2.77909994e-01 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum summary [ 1.25920000e-02 1.26249790e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum END [ 0.444177 0.44968796] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH2OHCHO_115.14036/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 [ 1.11303742e+02 1.64394531e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[25, 13],0.273987 TIMING : CubeSpectrum Moment-pos [ 5.45400000e-02 5.47080040e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum open [ 1.23450000e-02 1.23789310e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imval [ 3.63100000e-02 3.64921093e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imhead [ 4.21810000e-02 4.23429012e-02 1.63452344e+03 3.77000000e+02] REGRESSION : CSP: [0.0429251529276371] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.76997000e-01 2.81893015e-01 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum summary [ 1.26300000e-02 1.26609802e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum END [ 0.44742 0.45293403] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH2CHCN_115.15061/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 [ 1.11812332e+02 1.64394531e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 13],0.927064 TIMING : CubeSpectrum Moment-pos [ 5.47380000e-02 5.48961163e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum open [ 1.24400000e-02 1.24759674e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imval [ 3.68090000e-02 3.69939804e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imhead [ 4.24180000e-02 4.25801277e-02 1.63452344e+03 3.77000000e+02] REGRESSION : CSP: [0.042162727564573288] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.75985000e-01 2.80920029e-01 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum summary [ 1.25490000e-02 1.25849247e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum END [ 0.447252 0.45280313] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.NS_115.15394/lc-@3.csp INFO : INFO : INFO : Executing CubeSpectrum_AT - '@4' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 1.12320375e+02 1.64394531e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[46, 38],1.248184 TIMING : CubeSpectrum Moment-pos [ 5.45580000e-02 5.47258854e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum open [ 1.23830000e-02 1.24199390e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imval [ 3.88200000e-02 3.90090942e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum imhead [ 4.21500000e-02 4.23181057e-02 1.63452344e+03 3.77000000e+02] REGRESSION : CSP: [0.028872648254036903] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.79624000e-01 2.84405947e-01 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum summary [ 1.26260000e-02 1.26569271e-02 1.63452344e+03 3.77000000e+02] TIMING : CubeSpectrum END [ 0.452574 0.45799303] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@4.csp TIMING : ADMITrun END [ 111.07864 126.59385395] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 111.079 126.594 ]