========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-45/84475IPython 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 ', 'L1157-B1_84475.nf.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'L1157-B1_84475.nf.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-45/84475/L1157-B1_84475.nf.admit ADMIT root = /lma1/teuben/lmtoy/admit ADMIT version = 1.0.8.5 ADMIT flowcount = 1 stale = 0 ('Starting a new ADMIT using', 'L1157-B1_84475.nf.fits') ('Found parameter file to cp:', 'L1157-B1_84475.nf.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'L1157-B1_84475.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 : L1157-B1_84475.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 [ 2.13595300e+00 1.64394224e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: L1157-B1 SHAPE: [ 57 57 573] ALMA OBJECT = L1157-B1 ALMA DATE-OBS = 2019-05-30T06:38:25 INFO : Ingest_AT.py : basename=x INFO : utils.py : OSTYPE: linux TIMING : Ingest start [ 1.64405000e-01 1.70804977e-01 1.41021484e+03 2.16835938e+02] TIMING : Ingest importfits [ 1.05793000e-01 1.58424854e-01 1.41073438e+03 2.18714844e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 5.43940000e-02 7.53161907e-02 1.41231250e+03 2.20816406e+02] TIMING : Ingest summary-0 [ 1.37920000e-02 1.38449669e-02 1.41231250e+03 2.20816406e+02] TIMING : Ingest mask [ 2.57600000e-02 3.49409580e-02 1.41257422e+03 2.21562500e+02] TIMING : Ingest summary-1 [ 1.32740000e-02 1.69439316e-02 1.41257422e+03 2.21562500e+02] TIMING : Ingest statistics [ 3.93260000e-02 3.94239426e-02 1.41231250e+03 2.22140625e+02] 2022-02-04 02:37:24 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': 14.950000800000002, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.950000800000002, 'unit': 'arcsec'}} INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 57 57 573 1] 1015929 -0.124287 0.214598 INFO : Ingest_AT.py : S/N (all data): 9.715972 INFO : Ingest_AT.py : GOOD PIXELS: 1015929/1861677 (54.570637% good or 45.429363% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.124287 0.214598 0.0220872 57 57 573 45.429363 INFO : Ingest_AT.py : TELESCOPE: LMT INFO : Ingest_AT.py : OBJECT: L1157-B1 INFO : Ingest_AT.py : REFFREQTYPE: LSRK INFO : Ingest_AT.py : RA Axis 1: 309.792500 -6.500002 28.000000 INFO : Ingest_AT.py : DEC Axis 2: 68.019580 6.500002 28.000000 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: 96.0661 -0.000390625 0 INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=1.220431 km/s @ fc=95.954363 fw=-0.223828 GHz INFO : Ingest_AT.py : RESTFREQ: 95.955 95.955 -1 INFO : Ingest_AT.py : VLSRc= 1.989866 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.306963 INFO : Ingest_AT.py : VLSR = 1.989866 errs = 0.000000 0.000000 0.000000 width = 1.220431 TIMING : Ingest done [ 5.56078000e-01 5.61200142e-01 1.41469141e+03 2.24746094e+02] TIMING : Ingest END [ 0.984836 1.08294201] 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 [ 3.18129800e+00 1.64394224e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.14960000e-02 5.16960621e-02 1.41444141e+03 2.24625000e+02] TIMING : CubeStats start [ 1.25210000e-02 1.25608444e-02 1.41444141e+03 2.24625000e+02] TIMING : CubeStats imstat0 [ 1.04678000e-01 1.05020046e-01 1.41391797e+03 2.24816406e+02] TIMING : CubeStats imstat1 [ 1.16149000e-01 1.16500139e-01 1.43257031e+03 2.43171875e+02] INFO : CubeStats_AT.py : sigma varies from 0.019792 to 0.024421; 573/573 channels ok INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot /an/terra_astromake/opt/casa/casa-release-5.8.0-109.el7/lib/python2.7/site-packages/numpy/ma/core.py:4144: UserWarning: Warning: converting a masked element to nan. warnings.warn("Warning: converting a masked element to nan.") TIMING : CubeStats ppp [ 6.32318000e-01 6.34382010e-01 1.43257031e+03 2.43484375e+02] INFO : CubeStats_AT.py : CubeMax: 0.214598 @ [ 29 32 388 0] INFO : CubeStats_AT.py : CubeMin: -0.124287 @ [ 20 9 566 0] INFO : CubeStats_AT.py : CubeRMS: 0.021931 INFO : CubeStats_AT.py : RMS Sanity check 1.007124 REGRESSION : CST: 0.021931 1.007124 INFO : CubeStats_AT.py : mean,rms,S/N=0.000006 0.021931 9.785185 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.033374 1.001671 /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 [ 2.310068 2.48363686 1436.6484375 245.84765625] TIMING : CubeStats done [ 1.36280000e-02 1.36580467e-02 1.43664844e+03 2.45847656e+02] TIMING : CubeStats summary [ 1.22370000e-02 1.22759342e-02 1.43664844e+03 2.45847656e+02] TIMING : CubeStats END [ 3.265314 3.44198489] 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 [ 6.50694000e+00 1.64394225e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.021931 TIMING : CubeSum start [ 5.22630000e-02 5.23879528e-02 1.43664844e+03 2.45847656e+02] TIMING : CubeSum immoments [ 5.80220000e-02 1.07713938e-01 1.44354688e+03 2.53179688e+02] 2022-02-04 02:37:29 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 1.98580000e-02 1.99320316e-02 1.44354688e+03 2.53179688e+02] INFO : CubeSum_AT.py : Total flux: 825.700986 (sum=19.543209) REGRESSION : CSM: [825.70098585959374, 19.543208978953771] TIMING : CubeSum implot [ 1.41914000e-01 5.82104993e+00 1.52315234e+03 2.60812500e+02] TIMING : CubeSum getdata [ 2.05410000e-02 2.05950737e-02 1.52315234e+03 2.60812500e+02] TIMING : CubeSum done [ 2.36851000e-01 2.58347988e-01 1.50844922e+03 2.46363281e+02] TIMING : CubeSum END [ 0.542825 6.29343891] 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 [ 7.11010000e+00 1.64394225e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.34540000e-02 3.35400105e-02 1.50844922e+03 2.46363281e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.03830000e-02 4.06060219e-02 1.50844922e+03 2.46363281e+02] INFO : AT.py : Setting 'sigma' = 0.254013227536 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.254013 -0.234076 1.01589 35 1.00016 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 02:37:35 WARN imstat::ImageRegion::fromRecord No sources were found TIMING : SFind2D findsources [ 9.00490000e-02 9.79678631e-02 1.50844922e+03 2.46363281e+02] REGRESSION : CONTFLUX: 0 0 INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size. INFO : SFind2D_AT.py : Restoring Beam: Major axis: 15 arcsec , Minor axis: 15 arcsec , PA: 0.0 deg TIMING : SFind2D done [ 2.76598000e-01 2.99215078e-01 1.50933203e+03 2.47644531e+02] TIMING : SFind2D END [ 0.454317 0.48520708] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 5.822579 11.93966603] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.82258 11.9397 ] ('N sources in CSM:', 0) ('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 [ 7.77134200e+00 1.64394226e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[29, 32, 388],0.214598 TIMING : CubeSpectrum CubeStats-pos [ 4.84890000e-02 4.85870838e-02 1.50933203e+03 2.47644531e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[29, 28],1.015891 TIMING : CubeSpectrum Moment-pos [ 4.17970000e-02 4.19058800e-02 1.50933203e+03 2.47644531e+02] TIMING : CubeSpectrum open [ 1.22350000e-02 1.22680664e-02 1.50933203e+03 2.47644531e+02] TIMING : CubeSpectrum imval [ 4.31380000e-02 4.33199406e-02 1.50933203e+03 2.48300781e+02] TIMING : CubeSpectrum imhead [ 4.16890000e-02 4.18279171e-02 1.50933203e+03 2.48300781e+02] TIMING : CubeSpectrum imval [ 2.48786000e-01 2.67582178e-01 1.50958984e+03 2.48695312e+02] REGRESSION : CSP: [0.19159087538719177, 0.21459846198558807] INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.81687000e-01 3.00434828e-01 1.50978906e+03 2.48894531e+02] TIMING : CubeSpectrum summary [ 1.24090000e-02 1.24351978e-02 1.50978906e+03 2.48894531e+02] TIMING : CubeSpectrum END [ 0.742493 0.780653] 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 [ 8.57437900e+00 1.64394226e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.44880000e-02 2.45521069e-02 1.50978906e+03 2.48894531e+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 [ 12.579461 12.604496 1509.7890625 249.3828125] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [387, 390] WARNING : specutil.py : 0 [388, 390] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [387, 391] TIMING : LineSegment segment finder [ 2.911729 2.91754699 1509.7890625 249.3828125 ] INFO : LineSegment_AT.py : Segment Coverage 4 / 573 = 0.0069808 REGRESSION : LINESEG: [[95.913347466047469, 95.914909966417056], [95.913738091139862, 95.914909966417056], [95.913738091139862, 95.914519341324663]] TIMING : LineSegment done [ 1.913532 2.01955581 1556.6328125 296.10546875] TIMING : LineSegment END [ 17.441577 17.57855296] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 24.272834 30.61632609] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.2728 30.6163 ] Found 1 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 24.370407 30.78822112] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.3704 30.7882 ] ('OBJECT = ', 'L1157-B1') ('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 [ 2.63448780e+01 1.64394227e+09] TIMING : LineID BEGIN [ 0. 0.] INFO : LineID_AT.py : Set vlsr = 1.99 for line identification. INFO : LineID_AT.py : Identifylines = True INFO : LineID_AT.py : Using vlsr = 1.98987 INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra TIMING : LineID getspectrum-cubespecs [ 5.503922 5.51533794 1556.6328125 296.10546875] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 7.202596 7.22434211 1556.6328125 296.10546875] TIMING : LineID segment finder [ 1.38370000e-02 1.38878822e-02 1.55663281e+03 2.96105469e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [387, 390] WARNING : specutil.py : 0 [388, 390] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [387, 391] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found line: U_95.9152 @ 95.9151559761GHz, channels 387 - 391 REGRESSION : LINEID: U_95.9152 95.91516 387 391 INFO : LineID_AT.py : Line Coverage 5 / 573 = 0.008726 TIMING : LineID done [ 13.543221 13.72340393 1655.83203125 396.390625 ] TIMING : LineID END [ 26.278111 26.49153805] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 50.948896 57.65897608] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.9489 57.659 ] 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 [ 5.28776070e+01 1.64394230e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 6.23680000e-02 6.26149178e-02 1.62059766e+03 3.61335938e+02] TIMING : LineCube pad [ 1.46040000e-02 1.46410465e-02 1.62059766e+03 3.61335938e+02] TIMING : LineCube trans-x.U_95.9152 [ 7.16120000e-02 2.02667952e-01 1.62059766e+03 3.61457031e+02] REGRESSION : LC: [382, 396] TIMING : LineCube done [ 2.50950000e-02 2.51519680e-02 1.62059766e+03 3.61457031e+02] TIMING : LineCube END [ 0.186027 0.31745386] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.U_95.9152/lc.im TIMING : ADMITrun END [ 51.307187 58.22749901] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 51.3072 58.2275 ] Found 1 lines in LineCube ('LineDir:', 0, 'x.U_95.9152/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 [ 5.33308530e+01 1.64394230e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.94430000e-02 5.01570702e-02 1.62059766e+03 3.61457031e+02] TIMING : Moment immoments-0 [ 6.33490000e-02 1.34521008e-01 1.62059766e+03 3.61457031e+02] TIMING : Moment mom0clip [ 6.86320000e-02 1.17208004e-01 1.62059766e+03 3.61550781e+02] TIMING : Moment implot [ 9.46530000e-02 3.40736866e-01 1.62109375e+03 3.62109375e+02] TIMING : Moment getdata [ 2.06200000e-02 2.15661526e-02 1.62109375e+03 3.62109375e+02] TIMING : Moment ren+mask_0 [ 3.51714000e-01 3.57885838e-01 1.62683984e+03 3.67855469e+02] TIMING : Moment done [ 1.51170000e-02 1.51541233e-02 1.62683984e+03 3.67855469e+02] TIMING : Moment END [ 0.675866 1.04962206] 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 [ 5.40746600e+01 1.64394230e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.92820000e-02 4.93969917e-02 1.62683984e+03 3.67855469e+02] TIMING : Moment immoments-all [ 6.81120000e-02 2.97070026e-01 1.62683984e+03 3.67855469e+02] TIMING : Moment mom0clip [ 6.71510000e-02 1.23840809e-01 1.62683984e+03 3.67855469e+02] TIMING : Moment implot [ 9.68810000e-02 3.56188059e-01 1.62683984e+03 3.67855469e+02] TIMING : Moment getdata [ 2.04820000e-02 2.05481052e-02 1.62683984e+03 3.67855469e+02] TIMING : Moment ren+mask_0 [ 2.82084000e-01 2.87521839e-01 1.62633984e+03 3.67355469e+02] 2022-02-04 02:38:24 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 [ 1.48155000e-01 4.70966101e-01 1.62633984e+03 3.67476562e+02] TIMING : Moment implot [ 7.68120000e-02 3.08845043e-01 1.62633984e+03 3.68250000e+02] TIMING : Moment getdata [ 2.02070000e-02 2.02748775e-02 1.62633984e+03 3.68250000e+02] TIMING : Moment ren+mask_1 [ 2.59806000e-01 2.64937162e-01 1.62633984e+03 3.68250000e+02] 2022-02-04 02:38:25 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 [ 1.49086000e-01 3.54847908e-01 1.62633984e+03 3.68250000e+02] TIMING : Moment implot [ 7.71140000e-02 2.98989058e-01 1.62633984e+03 3.68250000e+02] TIMING : Moment getdata [ 2.01400000e-02 2.02090740e-02 1.62633984e+03 3.68250000e+02] TIMING : Moment ren+mask_2 [ 2.62357000e-01 2.67241001e-01 1.62633984e+03 3.68250000e+02] REGRESSION : MOM0FLUX: x.U_95.9152 32.773 23.0985 0.0236686 3.3605 3.3605 1.18793 TIMING : Moment mom0flux [ 5.11700000e-02 5.13448715e-02 1.62633984e+03 3.68250000e+02] TIMING : Moment flux-spectrum [ 2.57916000e-01 2.62123108e-01 1.62633984e+03 3.68250000e+02] TIMING : Moment done [ 1.48930000e-02 1.49259567e-02 1.62633984e+03 3.68250000e+02] TIMING : Moment END [ 1.933948 3.48161888] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_95.9152/lc.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_95.9152/lc.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_95.9152/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 [ 5.61172060e+01 1.64394231e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[29, 29],0.966338 TIMING : CubeSpectrum Moment-pos [ 5.37870000e-02 5.39109707e-02 1.62633984e+03 3.68250000e+02] TIMING : CubeSpectrum open [ 1.22850000e-02 1.23169422e-02 1.62633984e+03 3.68250000e+02] TIMING : CubeSpectrum imval [ 3.56810000e-02 3.58281136e-02 1.62633984e+03 3.68250000e+02] TIMING : CubeSpectrum imhead [ 4.17830000e-02 4.19168472e-02 1.62633984e+03 3.68250000e+02] REGRESSION : CSP: [0.16197723150253296] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.59898000e-01 2.64444113e-01 1.62633984e+03 3.68250000e+02] TIMING : CubeSpectrum summary [ 1.26500000e-02 1.26979351e-02 1.62633984e+03 3.68250000e+02] TIMING : CubeSpectrum END [ 0.428498 0.43357086] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_95.9152/lc-@1.csp TIMING : ADMITrun END [ 54.795462 63.7078371] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 54.7955 63.7078 ]