/bin/csh: /home/lmtslr/lmtoy/admit/casa/lib/libtinfo.so.5: no version information available (required by /bin/csh) ========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2022S1SEQUOIACommissioning/93607IPython 5.1.0 -- An enhanced Interactive Python. CASA 5.8.0-109 -- Common Astronomy Software Applications Found an existing telemetry logfile: /home/lmtslr/.casa/casastats-580-109-8606ef13ed4-20220203-183326.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 --> CrashReporter initialized. WARNING: No ASAP; ASAPLineFinder cannot function. ('ADMIT1: Version ', '21-dec-2017', 'loglevel ', 15) ('Removing previous results from ', 'CHI-Cyg_93607.nf.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'CHI-Cyg_93607.nf.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/home/lmtslr/lmtoy/admit') ADMIT basedir = /home/lmtslr/work_lmt/2022S1SEQUOIACommissioning/93607/CHI-Cyg_93607.nf.admit ADMIT root = /home/lmtslr/lmtoy/admit ADMIT version = 1.0.8.5 ADMIT flowcount = 1 stale = 0 ('Starting a new ADMIT using', 'CHI-Cyg_93607.nf.fits') ('Found parameter file to cp:', 'CHI-Cyg_93607.nf.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'CHI-Cyg_93607.nf.fits'} for Ingest_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'ppp' = True for CubeStats_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'numsigma' = 4.0 for CubeSum_AT INFO : AT.py : Setting 'sigma' = 99.0 for CubeSum_AT ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'numsigma' = 4.0 for SFind2D_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing Ingest_AT - '' (V1.2.13) INFO : INFO : INFO : Run using the following settings: INFO : box : [] INFO : file : CHI-Cyg_93607.nf.fits INFO : smooth : [] INFO : basename : x INFO : mask : True INFO : pb : INFO : edge : [] INFO : restfreq : -1.0 INFO : vlsr : -999999.9 INFO : usepb : True INFO : TIMING : Ingest ADMIT [ 2.86805200e+00 1.64391382e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: CHI-Cyg SHAPE: [ 65 65 515] ALMA OBJECT = CHI-Cyg ALMA DATE-OBS = 2022-02-03T11:51:57 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 2.95431000e-01 3.00840855e-01 1.18939844e+03 2.06906250e+02] TIMING : Ingest importfits [ 1.86312000e-01 3.93130064e-01 1.19003516e+03 2.08714844e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 8.89920000e-02 2.28608131e-01 1.19057422e+03 2.10093750e+02] TIMING : Ingest summary-0 [ 2.31850000e-02 2.31838226e-02 1.19057422e+03 2.10093750e+02] TIMING : Ingest mask [ 4.37400000e-02 1.10551119e-01 1.19057422e+03 2.10468750e+02] TIMING : Ingest summary-1 [ 2.34150000e-02 4.86068726e-02 1.19057422e+03 2.10468750e+02] TIMING : Ingest statistics [ 8.41910000e-02 8.41920376e-02 1.19050781e+03 2.11347656e+02] 2022-02-03 18:43:40 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': 17.2500012, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 17.2500012, 'unit': 'arcsec'}} INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 65 65 515 1] 1081500 -0.765977 8.366517 INFO : Ingest_AT.py : S/N (all data): 110.276115 INFO : Ingest_AT.py : GOOD PIXELS: 1081500/2175875 (49.704142% good or 50.295858% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.765977 8.36652 0.0758688 65 65 515 50.295858 INFO : Ingest_AT.py : TELESCOPE: LMT INFO : Ingest_AT.py : OBJECT: CHI-Cyg INFO : Ingest_AT.py : REFFREQTYPE: LSRK INFO : Ingest_AT.py : RA Axis 1: 0.000000 -7.499999 32.000000 INFO : Ingest_AT.py : DEC Axis 2: 0.000000 7.499999 32.000000 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: 86.3414 -0.000390625 0 INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=1.357859 km/s @ fc=86.241048 fw=-0.201172 GHz INFO : Ingest_AT.py : RESTFREQ: 86.2434 86.2434 -1 INFO : Ingest_AT.py : VLSRc= 8.321063 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.297385 INFO : Ingest_AT.py : VLSR = 8.321063 errs = 0.000000 0.000000 0.000000 width = 1.357859 TIMING : Ingest done [ 9.87338000e-01 1.00610805e+00 1.19412891e+03 2.15250000e+02] TIMING : Ingest END [ 1.754282 2.21689796] 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 [ 4.72981300e+00 1.64391382e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 7.71630000e-02 7.71639347e-02 1.19312891e+03 2.14996094e+02] TIMING : CubeStats start [ 2.13360000e-02 2.13348866e-02 1.19312891e+03 2.14996094e+02] TIMING : CubeStats imstat0 [ 2.31872000e-01 2.32035160e-01 1.21176953e+03 2.33937500e+02] TIMING : CubeStats imstat1 [ 2.14892000e-01 2.14900017e-01 1.21428125e+03 2.36250000e+02] INFO : CubeStats_AT.py : sigma varies from 0.054929 to 0.075135; 515/515 channels ok INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot TIMING : CubeStats ppp [ 1.00577700e+00 1.00578499e+00 1.21428125e+03 2.36437500e+02] INFO : CubeStats_AT.py : CubeMax: 8.366517 @ [ 32 33 258 0] INFO : CubeStats_AT.py : CubeMin: -0.765977 @ [ 9 43 247 0] INFO : CubeStats_AT.py : CubeRMS: 0.060777 INFO : CubeStats_AT.py : RMS Sanity check 1.248307 REGRESSION : CST: 0.060777 1.248307 INFO : CubeStats_AT.py : mean,rms,S/N=0.000811 0.060777 137.658439 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.062551 0.978402 /home/lmtslr/lmtoy/admit/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 [ 3.522552 194.54040694 1234.9921875 253.5078125 ] TIMING : CubeStats done [ 2.22420000e-02 2.22408772e-02 1.23499219e+03 2.53507812e+02] TIMING : CubeStats summary [ 2.16280000e-02 2.16281414e-02 1.23499219e+03 2.53507812e+02] TIMING : CubeStats END [ 5.138884 196.15691686] 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 [ 9.97707700e+00 1.64391402e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.060777 TIMING : CubeSum start [ 8.65990000e-02 8.65988731e-02 1.23499219e+03 2.53507812e+02] TIMING : CubeSum immoments [ 1.27291000e-01 3.19907188e-01 1.23499219e+03 2.53507812e+02] 2022-02-03 18:46:58 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 3.00310000e-02 3.00300121e-02 1.23499219e+03 2.53507812e+02] INFO : CubeSum_AT.py : Total flux: 49011.510345 (sum=871.316018) REGRESSION : CSM: [49011.510344961876, 871.31601828709245] TIMING : CubeSum implot [ 2.22883000e-01 5.95897293e+00 1.30699609e+03 2.54035156e+02] TIMING : CubeSum getdata [ 2.98040000e-02 2.98020840e-02 1.30699609e+03 2.54035156e+02] TIMING : CubeSum done [ 3.78048000e-01 2.12121868e+01 1.31248828e+03 2.59531250e+02] TIMING : CubeSum END [ 0.897187 27.66002798] 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 [ 1.09793400e+01 1.64391404e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 5.13280000e-02 5.13279438e-02 1.31248828e+03 2.59531250e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 6.35120000e-02 6.35130405e-02 1.31248828e+03 2.59531250e+02] INFO : AT.py : Setting 'sigma' = 1.08754966563 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.08755 -4.83394 31.8754 35 0.136475 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-03 18:47:25 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-03 18:47:25 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 2.98405000e-01 3.48310947e-01 1.31248828e+03 2.60406250e+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 : 00:00:00.034 +00.00.06.99 31.93 32.93 15.7 75.5 45.456 18.439 3.3 14.5 INFO : SFind2D_AT.py : 00:00:00.030 -00.01.05.76 31.94 23.23 24.4 67.8 42.715 17.979 175.3 22.5 INFO : SFind2D_AT.py : 23:59:59.929 -00.00.31.54 32.14 27.79 18.6 111 37.500 37.500 0.0 17.1 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 3.29149000e-01 3.70323896e-01 1.31248828e+03 2.60406250e+02] REGRESSION : CONTFLUX: 3 254.824 INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size. INFO : SFind2D_AT.py : Restoring Beam: Major axis: 17.3 arcsec , Minor axis: 17.3 arcsec , PA: 0.0 deg WARNING : SFind2D_AT.py : LogScaling applied /home/lmtslr/lmtoy/admit/admit/at/SFind2D_AT.py:429: RuntimeWarning: invalid value encountered in log10 data = np.where(data<0,-np.log10(1-data),+np.log10(1+data)) TIMING : SFind2D done [ 4.79778000e-01 2.13014131e+01 1.31248828e+03 2.60531250e+02] TIMING : SFind2D END [ 1.244409 22.15721989] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 9.934058 249.13813591] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 9.93406 249.138 ] ('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 [ 1.25690330e+01 1.64391407e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[32, 33, 258],8.366517 TIMING : CubeSpectrum CubeStats-pos [ 8.44160000e-02 8.44149590e-02 1.31248828e+03 2.60531250e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[32, 33],31.875404 TIMING : CubeSpectrum Moment-pos [ 6.77320000e-02 6.77330494e-02 1.31248828e+03 2.60531250e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.034s', '+00d00m06.99s'),15.726621 TIMING : CubeSpectrum SourceList-pos [ 6.27700000e-02 6.27689362e-02 1.31248828e+03 2.60531250e+02] TIMING : CubeSpectrum open [ 2.11770000e-02 2.11780071e-02 1.31248828e+03 2.60531250e+02] TIMING : CubeSpectrum imval [ 5.92680000e-02 5.92679977e-02 1.31248828e+03 2.60906250e+02] TIMING : CubeSpectrum imhead [ 6.98370000e-02 6.98368549e-02 1.31248828e+03 2.60906250e+02] TIMING : CubeSpectrum imval [ 3.55005000e-01 2.11405780e+01 1.31248828e+03 2.61093750e+02] REGRESSION : CSP: [8.3665170669555664, 8.3665170669555664] INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables TIMING : CubeSpectrum done [ 4.08475000e-01 2.12602491e+01 1.31248828e+03 2.61093750e+02] TIMING : CubeSpectrum summary [ 2.10390000e-02 2.10390091e-02 1.31248828e+03 2.61093750e+02] TIMING : CubeSpectrum END [ 1.170942 42.80828881] 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 [ 1.38440820e+01 1.64391411e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 4.25980000e-02 4.25980091e-02 1.31248828e+03 2.61093750e+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 [ 19.089806 19.08702397 1312.48828125 261.09375 ] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [254, 261] WARNING : specutil.py : 0 [254, 261] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [257, 261] TIMING : LineSegment segment finder [ 5.26037 5.26040196 1312.48828125 261.09375 ] INFO : LineSegment_AT.py : Segment Coverage 8 / 515 = 0.015534 REGRESSION : LINESEG: [[86.239485720186366, 86.241048220253148], [86.239485720186366, 86.242220095303225], [86.239485720186366, 86.242220095303225]] TIMING : LineSegment done [ 2.831806 107.32552791 1336.578125 285.58203125] TIMING : LineSegment END [ 27.246161 131.73713183] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 38.796628 424.14803195] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.7966 424.148 ] Found 1 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 38.95501 424.32538509] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.955 424.325 ] ('OBJECT = ', 'CHI-Cyg') ('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 [ 4.16345070e+01 1.64391424e+09] TIMING : LineID BEGIN [ 0. 0.] INFO : LineID_AT.py : Set vlsr = 8.32 for line identification. INFO : LineID_AT.py : Identifylines = True INFO : LineID_AT.py : Using vlsr = 8.32106 INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra TIMING : LineID getspectrum-cubespecs [ 9.751891 9.75207114 1336.578125 285.63671875] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 9.416789 9.41711092 1336.578125 285.63671875] TIMING : LineID segment finder [ 2.44800000e-02 2.44801044e-02 1.33657812e+03 2.85636719e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [254, 261] WARNING : specutil.py : 0 [254, 261] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [257, 261] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found line: (CH3)2COv=0 45(28,17)-45(27,18)AA @ 86.24385GHz, channels 254 - 261 REGRESSION : LINEID: (CH3)2COv=0 86.24385 254 261 INFO : LineID_AT.py : Line Coverage 8 / 515 = 0.015534 TIMING : LineID done [ 19.518412 28.14721084 1432.34765625 382.72265625] TIMING : LineID END [ 38.735845 47.36514497] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 78.176561 472.19784093] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 78.1766 472.198 ] 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 [ 8.07710460e+01 1.64391429e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 1.10264000e-01 1.10285044e-01 1.40158594e+03 3.52167969e+02] TIMING : LineCube pad [ 2.23290000e-02 2.23281384e-02 1.40158594e+03 3.52167969e+02] TIMING : LineCube trans-x.(CH3)2CO_86.24385 [ 1.05178000e-01 3.86519909e-01 1.40158594e+03 3.52355469e+02] REGRESSION : LC: [249, 266] TIMING : LineCube done [ 4.27010000e-02 4.27000523e-02 1.40158594e+03 3.52355469e+02] TIMING : LineCube END [ 0.302093 0.58345413] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.(CH3)2CO_86.24385/lc.im TIMING : ADMITrun END [ 78.761326 473.08556294] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 78.7613 473.086 ] Found 1 lines in LineCube ('LineDir:', 0, 'x.(CH3)2CO_86.24385/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 [ 8.15245560e+01 1.64391429e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 8.69830000e-02 8.71691704e-02 1.40158594e+03 3.52355469e+02] TIMING : Moment immoments-0 [ 1.37010000e-01 3.47225904e-01 1.40158594e+03 3.52355469e+02] TIMING : Moment mom0clip [ 9.36250000e-02 2.51348019e-01 1.40158594e+03 3.52542969e+02] TIMING : Moment implot [ 1.46813000e-01 4.70380068e-01 1.40158594e+03 3.52605469e+02] TIMING : Moment getdata [ 2.83660000e-02 2.83648968e-02 1.40158594e+03 3.52605469e+02] TIMING : Moment ren+mask_0 [ 4.36389000e-01 2.18187904e+00 1.39884766e+03 3.49867188e+02] TIMING : Moment done [ 2.30520000e-02 2.30510235e-02 1.39884766e+03 3.49867188e+02] TIMING : Moment END [ 0.974399 3.41157913] 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 [ 8.26088060e+01 1.64391430e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 8.58890000e-02 8.59148502e-02 1.39884766e+03 3.49867188e+02] TIMING : Moment immoments-all [ 9.05470000e-02 5.69910049e-01 1.39884766e+03 3.49867188e+02] TIMING : Moment mom0clip [ 9.27460000e-02 2.48092175e-01 1.39884766e+03 3.49867188e+02] TIMING : Moment implot [ 1.40897000e-01 4.62066889e-01 1.39884766e+03 3.49867188e+02] TIMING : Moment getdata [ 2.79790000e-02 2.79779434e-02 1.39884766e+03 3.49867188e+02] TIMING : Moment ren+mask_0 [ 3.93131000e-01 2.12446809e+00 1.39884766e+03 3.49867188e+02] 2022-02-03 18:51:39 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 [ 1.67029000e-01 1.02196193e+00 1.39884766e+03 3.49867188e+02] TIMING : Moment implot [ 1.19772000e-01 4.54322100e-01 1.39884766e+03 3.49867188e+02] TIMING : Moment getdata [ 2.81600000e-02 2.81598568e-02 1.39884766e+03 3.49867188e+02] TIMING : Moment ren+mask_1 [ 3.76157000e-01 2.13848019e+00 1.39884766e+03 3.50867188e+02] 2022-02-03 18:51:42 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 [ 1.63984000e-01 1.08403182e+00 1.39884766e+03 3.50867188e+02] TIMING : Moment implot [ 1.15738000e-01 4.21091080e-01 1.39884766e+03 3.50867188e+02] TIMING : Moment getdata [ 2.81020000e-02 2.81031132e-02 1.39884766e+03 3.50867188e+02] TIMING : Moment ren+mask_2 [ 3.69054000e-01 2.08107281e+00 1.39884766e+03 3.50867188e+02] REGRESSION : MOM0FLUX: x.(CH3)2CO_86.24385 939.055 708.501 0.0177778 11.9102 11.9102 0.117451 TIMING : Moment mom0flux [ 8.83080000e-02 8.83071423e-02 1.39884766e+03 3.50867188e+02] TIMING : Moment flux-spectrum [ 3.57061000e-01 2.14735484e+00 1.39884766e+03 3.50867188e+02] TIMING : Moment done [ 2.30160000e-02 2.31430531e-02 1.39884766e+03 3.50867188e+02] TIMING : Moment END [ 2.689612 13.05660295] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.(CH3)2CO_86.24385/lc.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.(CH3)2CO_86.24385/lc.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.(CH3)2CO_86.24385/lc.mom_2 INFO : INFO : INFO : Executing CubeSpectrum_AT - '@1' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 8.54921160e+01 1.64391431e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[32, 33],32.381935 TIMING : CubeSpectrum Moment-pos [ 9.23590000e-02 9.27059650e-02 1.39884766e+03 3.50867188e+02] TIMING : CubeSpectrum open [ 2.14110000e-02 2.14788914e-02 1.39884766e+03 3.50867188e+02] TIMING : CubeSpectrum imval [ 5.11560000e-02 5.12971878e-02 1.39884766e+03 3.50867188e+02] TIMING : CubeSpectrum imhead [ 6.92680000e-02 6.94649220e-02 1.39884766e+03 3.50867188e+02] REGRESSION : CSP: [8.3665170669555664] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 3.68541000e-01 2.04701805e+00 1.39884766e+03 3.50867188e+02] TIMING : CubeSpectrum summary [ 2.15400000e-02 2.16050148e-02 1.39884766e+03 3.50867188e+02] TIMING : CubeSpectrum END [ 0.645851 2.32521105] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.(CH3)2CO_86.24385/lc-@1.csp TIMING : ADMITrun END [ 83.838976 492.66920495] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 83.839 492.669 ]