========================================= The start-up time of CASA may vary depending on whether the shared libraries are cached or not. ========================================= ]0;IPython: 2018-S1-MU-8/90911_91112IPython 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_91112.nfs.admit') ('Skipping ', 'admit1.apar') ('Found parameter file to execfile', 'NGC5194_90911_91112.nfs.fits.apar') ('Skipping ', '') ('_ADMIT_ROOT=', '/lma1/teuben/lmtoy/admit') ADMIT basedir = /lma1/teuben/lmtoy/examples/2018-S1-MU-8/90911_91112/NGC5194_90911_91112.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_91112.nfs.fits') ('Found parameter file to cp:', 'NGC5194_90911_91112.nfs.fits.apar') INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_90911_91112.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_91112.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 [ 2.25231700e+00 1.64394465e+09] TIMING : Ingest BEGIN [ 0. 0.] INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [153 219 590] 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 [ 3.55873000e-01 3.62476110e-01 1.41090234e+03 2.17226562e+02] TIMING : Ingest importfits [ 2.60942000e-01 3.28392982e-01 1.41107031e+03 2.18714844e+02] WARNING : Ingest_AT.py : Adding dummy STOKES-I axis TIMING : Ingest adddegaxes [ 1.07814000e-01 3.08888912e-01 1.41226172e+03 2.20843750e+02] TIMING : Ingest summary-0 [ 1.81420000e-02 1.82759762e-02 1.41226172e+03 2.20843750e+02] TIMING : Ingest mask [ 1.09429000e-01 1.46773100e-01 1.41226172e+03 2.20843750e+02] TIMING : Ingest summary-1 [ 1.83630000e-02 3.27129364e-02 1.41226172e+03 2.20843750e+02] TIMING : Ingest statistics [ 1.42029000e-01 1.42364979e-01 1.41254688e+03 2.22164062e+02] 2022-02-04 03:17:27 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: [153 219 590 1] 9514930 -0.071791 0.613950 INFO : Ingest_AT.py : S/N (all data): 26.604922 INFO : Ingest_AT.py : GOOD PIXELS: 9514930/19769130 (48.130241% good or 51.869759% bad) WARNING : Ingest_AT.py : MASKS: ['mask0'] REGRESSION : CUBE: -0.0717913 0.61395 0.0230765 153 219 590 51.869759 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 -5.500001 109.000000 INFO : Ingest_AT.py : DEC Axis 2: 47.195170 5.500001 76.000000 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 [ 6.52896000e-01 6.72649145e-01 1.41554688e+03 2.25515625e+02] TIMING : Ingest END [ 1.677601 2.02467895] 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 [ 3.99067600e+00 1.64394465e+09] TIMING : CubeStats BEGIN [ 0. 0.] TIMING : CubeStats imval [ 5.19750000e-02 5.21888733e-02 1.41467578e+03 2.25039062e+02] TIMING : CubeStats start [ 1.28790000e-02 1.29210949e-02 1.41467578e+03 2.25039062e+02] TIMING : CubeStats imstat0 [ 6.27666000e-01 6.29194975e-01 1.44626953e+03 2.57332031e+02] TIMING : CubeStats imstat1 [ 6.94958000e-01 6.96583033e-01 1.46189062e+03 2.73082031e+02] INFO : CubeStats_AT.py : sigma varies from 0.005265 to 0.017665; 590/590 channels ok WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0105305 (3.3551 > 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 [ 1.02512000e+00 1.02868390e+00 1.42509375e+03 2.36343750e+02] INFO : CubeStats_AT.py : CubeMax: 0.613950 @ [ 48 73 300 0] INFO : CubeStats_AT.py : CubeMin: -0.071791 @ [ 11 29 322 0] INFO : CubeStats_AT.py : CubeRMS: 0.012897 INFO : CubeStats_AT.py : RMS Sanity check 1.789236 WARNING : CubeStats_AT.py : RMS sanity check = 1.789236. Either bad sidelobes, lotsa signal, or both REGRESSION : CST: 0.012897 1.789236 INFO : CubeStats_AT.py : mean,rms,S/N=-0.004176 0.012897 47.602483 INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.977430 3.940852 /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 [ 2.371305 2.54661012 1455.890625 265.36328125] TIMING : CubeStats done [ 1.34410000e-02 1.34789944e-02 1.45589062e+03 2.65363281e+02] TIMING : CubeStats summary [ 1.22490000e-02 1.22959614e-02 1.45589062e+03 2.65363281e+02] TIMING : CubeStats END [ 4.821784 5.00418901] 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 [ 8.87244300e+00 1.64394465e+09] TIMING : CubeSum BEGIN [ 0. 0.] INFO : CubeSum_AT.py : Using constant sigma = 0.012897 TIMING : CubeSum start [ 5.17850000e-02 5.19330502e-02 1.45589062e+03 2.65363281e+02] TIMING : CubeSum immoments [ 2.44717000e-01 2.72033930e-01 1.46339844e+03 2.73347656e+02] 2022-02-04 03:17:33 WARN immoments::image::open (file ../../tools/images/image_cmpt.cc, line 4125) Another image is already open, closing first TIMING : CubeSum statistics [ 2.01410000e-02 2.02100277e-02 1.46339844e+03 2.73347656e+02] INFO : CubeSum_AT.py : Total flux: 432972.084548 (sum=14313.122598) REGRESSION : CSM: [432972.08454820589, 14313.122598106376] TIMING : CubeSum implot [ 1.65660000e-01 6.16575789e+00 1.53540234e+03 2.73386719e+02] TIMING : CubeSum getdata [ 2.69350000e-02 2.70171165e-02 1.53540234e+03 2.73386719e+02] TIMING : CubeSum done [ 2.67774000e-01 2.86773920e-01 1.53540234e+03 2.73449219e+02] TIMING : CubeSum END [ 0.791085 6.83783388] 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 [ 9.72396300e+00 1.64394466e+09] TIMING : SFind2D BEGIN [ 0. 0.] ('BDP', 0, ) ('BDP', 1, ) ('BDP', 2, ) No PB given TIMING : SFind2D start [ 3.45290000e-02 3.46369743e-02 1.53540234e+03 2.73449219e+02] ('ROBUST:', {'fence': 1.5, 'algorithm': 'hinges-fences'}) TIMING : SFind2D imstat [ 4.31140000e-02 4.32989597e-02 1.53540234e+03 2.73449219e+02] INFO : AT.py : Setting 'sigma' = 2.34048685306 for SFind2D_AT INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.34049 -0.79739 34.2636 35 0.273233 WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources() 2022-02-04 03:17:40 WARN imstat::ImageRegion::fromRecord Fit did not converge, resorting to default shape estimates 2022-02-04 03:17:40 WARN imstat::ImageRegion::fromRecord There is no Stokes coordinate in the CoordinateSystem - assuming Stokes I TIMING : SFind2D findsources [ 2.59480000e-01 2.67296076e-01 1.53540234e+03 2.73449219e+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 : 13:30:27.010 +47.11.34.59 45.42 74.60 28.9 1.03e+03 96.508 52.540 179.9 12.3 INFO : SFind2D_AT.py : 13:30:14.917 +47.10.33.62 67.82 63.48 0 9.02e+03 270.874 82.385 60.8 0.0 INFO : SFind2D_AT.py : 13:30:30.305 +47.10.49.14 39.30 66.35 18.5 88.5 27.500 27.500 0.1 7.9 INFO : SFind2D_AT.py : 13:30:30.073 +47.09.50.69 39.71 55.72 1.37 7.72e+03 232.419 94.428 170.3 0.6 INFO : SFind2D_AT.py : 13:30:35.937 +47.13.04.67 28.91 91.01 10.4 231 96.325 35.572 148.1 4.4 INFO : SFind2D_AT.py : 13:30:20.486 +47.10.18.18 57.49 60.69 8.54 202 72.990 46.833 149.4 3.6 INFO : SFind2D_AT.py : Wrote ds9.reg TIMING : SFind2D table [ 2.70315000e-01 2.74994135e-01 1.53540234e+03 2.74210938e+02] REGRESSION : CONTFLUX: 6 18286.3 INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size. INFO : SFind2D_AT.py : Restoring Beam: Major axis: 12.7 arcsec , Minor axis: 12.7 arcsec , PA: 0.0 deg TIMING : SFind2D done [ 2.87347000e-01 3.05895805e-01 1.53540234e+03 2.74210938e+02] TIMING : SFind2D END [ 0.908174 0.93955302] INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl TIMING : ADMITrun END [ 8.801665 15.47172189] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.80166 15.4717 ] ('N sources in CSM:', 6) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) ('PJT0 _taskid', -1) INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT INFO : Admit.py : ADMIT run() called [flowcount 1] INFO : INFO : INFO : Executing CubeSpectrum_AT - '' (V1.2.5) INFO : INFO : INFO : Run using the following settings: INFO : xaxis : INFO : sources : [0] INFO : pos : [] INFO : TIMING : CubeSpectrum ADMIT [ 1.08443470e+01 1.64394466e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[48, 73, 300],0.613950 TIMING : CubeSpectrum CubeStats-pos [ 4.83800000e-02 4.85031605e-02 1.53540234e+03 2.74210938e+02] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 74],34.263611 TIMING : CubeSpectrum Moment-pos [ 4.37460000e-02 4.38718796e-02 1.53540234e+03 2.74210938e+02] INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h30m27.010s', '+47d11m34.59s'),28.883375 TIMING : CubeSpectrum SourceList-pos [ 3.59700000e-02 3.60641479e-02 1.53540234e+03 2.74210938e+02] TIMING : CubeSpectrum open [ 1.21860000e-02 1.22208595e-02 1.53540234e+03 2.74210938e+02] TIMING : CubeSpectrum imval [ 4.36600000e-02 4.38420773e-02 1.53540234e+03 2.74683594e+02] TIMING : CubeSpectrum imhead [ 4.17920000e-02 4.19170856e-02 1.53540234e+03 2.74683594e+02] TIMING : CubeSpectrum imval [ 2.48539000e-01 2.66919851e-01 1.53540234e+03 2.74785156e+02] TIMING : CubeSpectrum imval [ 2.63555000e-01 2.82161951e-01 1.53540234e+03 2.74785156e+02] REGRESSION : CSP: [0.61394959688186646, 0.59777951240539551, 0.36016166210174561] INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.66725000e-01 2.85752058e-01 1.53540234e+03 2.74785156e+02] TIMING : CubeSpectrum summary [ 1.24810000e-02 1.25110149e-02 1.53540234e+03 2.74785156e+02] TIMING : CubeSpectrum END [ 1.02924 1.08600307] 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 [ 1.19340030e+01 1.64394466e+09] TIMING : LineSegment BEGIN [ 0. 0.] TIMING : LineSegment start [ 2.43310000e-02 2.43968964e-02 1.53540234e+03 2.74785156e+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 [ 23.173768 23.23115301 1535.40234375 275.25390625] INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [26, 33] WARNING : specutil.py : 1 [53, 65] WARNING : specutil.py : 2 [246, 350] WARNING : specutil.py : 3 [410, 413] WARNING : specutil.py : 4 [426, 431] WARNING : specutil.py : 0 [19, 22] WARNING : specutil.py : 1 [27, 43] WARNING : specutil.py : 2 [53, 65] WARNING : specutil.py : 3 [246, 365] WARNING : specutil.py : 4 [404, 417] WARNING : specutil.py : 5 [427, 431] WARNING : specutil.py : 0 [7, 13] WARNING : specutil.py : 1 [19, 44] WARNING : specutil.py : 2 [54, 66] WARNING : specutil.py : 3 [235, 397] WARNING : specutil.py : 4 [410, 420] WARNING : specutil.py : 5 [431, 434] INFO : LineSegment_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [123, 130] WARNING : specutil.py : 1 [137, 163] WARNING : specutil.py : 2 [188, 198] WARNING : specutil.py : 3 [202, 207] WARNING : specutil.py : 4 [223, 417] WARNING : specutil.py : 0 [2, 26] WARNING : specutil.py : 1 [30, 42] WARNING : specutil.py : 2 [53, 81] WARNING : specutil.py : 3 [135, 139] WARNING : specutil.py : 4 [301, 385] WARNING : specutil.py : 5 [390, 393] WARNING : specutil.py : 6 [398, 423] TIMING : LineSegment segment finder [ 5.510325 5.5309732 1535.40234375 275.25390625] INFO : LineSegment_AT.py : Segment Coverage 236 / 590 = 0.4 REGRESSION : LINESEG: [[115.01173363598141, 115.01446801116663], [115.01720238635185, 115.02735863703982], [115.03712426270134, 115.04103051296595], [115.04259301307178, 115.04454613820408], [115.05079613862746, 115.12657739376077], [114.9644680077797, 114.97384300841475], [114.97540550852058, 114.98009300883813], [114.98438988412919, 114.99532738487007], [115.01642113629893, 115.01798363640476], [115.08126489069136, 115.11407739291403], [115.11603051804634, 115.11720239312572], [115.11915551825803, 115.12892114391954], [114.97384300841475, 114.97657738359997], [114.98438988412919, 114.9890773844467], [115.05978051423604, 115.10040551698793], [115.12384301857554, 115.12501489365492], [115.13009301899892, 115.13204614413121], [114.97110863322952, 114.9722805083089], [114.9742336334412, 114.98048363386458], [114.98438988412919, 114.9890773844467], [115.05978051423604, 115.10626489238483], [115.12149926841678, 115.12657739376077], [115.13048364402538, 115.13204614413121], [114.966421132912, 114.96876488307076], [114.97110863322952, 114.98087425889103], [114.98478050915564, 114.98946800947316], [115.05548363894498, 115.11876489323157], [115.12384301857554, 115.12774926884015], [115.13204614413121, 115.1332180192106]] TIMING : LineSegment done [ 2.288865 2.418962 1556.05078125 295.67578125] TIMING : LineSegment END [ 31.009711 31.217942] INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg TIMING : ADMITrun END [ 41.121848 48.11435795] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 41.1218 48.1144 ] Found 8 segments in LineSegment No ContinuumSub needed INFO : Admit.py : ADMIT run() called [flowcount 1] TIMING : ADMITrun END [ 41.222165 48.29479694] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 41.2222 48.2948 ] ('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 [ 4.32885450e+01 1.64394469e+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 [ 15.056401 15.09721708 1556.05078125 295.87109375] INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra TIMING : LineID getspectrum-cubestats [ 8.359593 8.37999392 1556.05078125 295.87109375] TIMING : LineID segment finder [ 1.41790000e-02 1.42269135e-02 1.55605078e+03 2.95871094e+02] INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data WARNING : specutil.py : 0 [26, 33] WARNING : specutil.py : 1 [53, 65] WARNING : specutil.py : 2 [246, 350] WARNING : specutil.py : 3 [410, 413] WARNING : specutil.py : 4 [426, 431] WARNING : specutil.py : 0 [19, 22] WARNING : specutil.py : 1 [27, 43] WARNING : specutil.py : 2 [53, 65] WARNING : specutil.py : 3 [246, 365] WARNING : specutil.py : 4 [404, 417] WARNING : specutil.py : 5 [427, 431] WARNING : specutil.py : 0 [7, 13] WARNING : specutil.py : 1 [19, 44] WARNING : specutil.py : 2 [54, 66] WARNING : specutil.py : 3 [235, 397] WARNING : specutil.py : 4 [410, 420] WARNING : specutil.py : 5 [431, 434] INFO : LineID_AT.py : Detecting segments in CubeStats based data WARNING : specutil.py : 0 [123, 130] WARNING : specutil.py : 1 [137, 163] WARNING : specutil.py : 2 [188, 198] WARNING : specutil.py : 3 [202, 207] WARNING : specutil.py : 4 [223, 417] WARNING : specutil.py : 0 [2, 26] WARNING : specutil.py : 1 [30, 42] WARNING : specutil.py : 2 [53, 81] WARNING : specutil.py : 3 [135, 139] WARNING : specutil.py : 4 [301, 385] WARNING : specutil.py : 5 [390, 393] WARNING : specutil.py : 6 [398, 423] INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 71.2 km/s INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 59.0 km/s 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 44 - 44 REGRESSION : LINEID: NS 115.15394 44 44 INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 2 - 434 REGRESSION : LINEID: CO 115.27120 2 434 INFO : LineID_AT.py : Line Coverage 433 / 590 = 0.733898 TIMING : LineID done [ 19.173904 19.96034217 1657.0234375 397.8203125 ] TIMING : LineID END [ 42.618262 43.46599793] INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll TIMING : ADMITrun END [ 84.164564 92.19555187] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 84.1646 92.1956 ] Found 2 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 [ 8.61834730e+01 1.64394474e+09] TIMING : LineCube BEGIN [ 0. 0.] TIMING : LineCube start [ 1.61378000e-01 1.61865950e-01 1.60758594e+03 3.48761719e+02] TIMING : LineCube pad [ 1.35770000e-02 1.36208534e-02 1.60758594e+03 3.48761719e+02] TIMING : LineCube trans-x.NS_115.15394 [ 7.79310000e-02 1.86072111e-01 1.60758594e+03 3.48824219e+02] WARNING : LineCube_AT.py : pad=5 too large, start=-3 resetting to 0 TIMING : LineCube trans-x.CO_115.27120 [ 1.72654000e-01 2.74518013e-01 1.60758594e+03 3.48824219e+02] REGRESSION : LC: [39, 49, 0, 439] TIMING : LineCube done [ 2.49650000e-02 2.50399113e-02 1.60758594e+03 3.48824219e+02] TIMING : LineCube END [ 0.462954 0.67360687] INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.NS_115.15394/lc.im INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.CO_115.27120/lc.im TIMING : ADMITrun END [ 84.826111 93.12617207] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 84.8261 93.1262 ] Found 2 lines in LineCube ('LineDir:', 0, 'x.NS_115.15394/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.CO_115.27120/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) ('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 - '@2' (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 [ 8.69903370e+01 1.64394474e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.92720000e-02 4.94039059e-02 1.60758594e+03 3.48824219e+02] TIMING : Moment immoments-0 [ 2.34417000e-01 3.17876101e-01 1.62652344e+03 3.67636719e+02] TIMING : Moment mom0clip [ 7.06970000e-02 1.27964020e-01 1.62652344e+03 3.67789062e+02] TIMING : Moment implot [ 9.61730000e-02 4.04346943e-01 1.62652344e+03 3.67789062e+02] TIMING : Moment getdata [ 2.14980000e-02 2.15790272e-02 1.62652344e+03 3.67789062e+02] TIMING : Moment ren+mask_0 [ 3.21047000e-01 3.26206923e-01 1.63201172e+03 3.73339844e+02] TIMING : Moment done [ 1.51620000e-02 1.52029991e-02 1.63201172e+03 3.73339844e+02] TIMING : Moment END [ 0.820675 1.27505803] INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@2.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 [ 8.78720470e+01 1.64394474e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.86780000e-02 4.87999916e-02 1.63201172e+03 3.73339844e+02] TIMING : Moment immoments-all [ 8.52900000e-02 2.96682119e-01 1.63201172e+03 3.73339844e+02] TIMING : Moment mom0clip [ 6.97440000e-02 1.57192945e-01 1.63201172e+03 3.73339844e+02] TIMING : Moment implot [ 9.30270000e-02 3.94670010e-01 1.63201172e+03 3.73339844e+02] TIMING : Moment getdata [ 2.10770000e-02 2.11589336e-02 1.63201172e+03 3.73339844e+02] TIMING : Moment ren+mask_0 [ 2.57748000e-01 2.62533188e-01 1.63201172e+03 3.73339844e+02] 2022-02-04 03:19:01 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 [ 1.53543000e-01 4.61951017e-01 1.63201172e+03 3.73496094e+02] TIMING : Moment implot [ 7.62360000e-02 3.43512774e-01 1.63201172e+03 3.73496094e+02] TIMING : Moment getdata [ 2.08550000e-02 2.09300518e-02 1.63201172e+03 3.73496094e+02] TIMING : Moment ren+mask_1 [ 2.49057000e-01 2.54147053e-01 1.63201172e+03 3.74070312e+02] 2022-02-04 03:19:02 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 [ 1.52778000e-01 7.54456997e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment implot [ 7.66120000e-02 3.36884022e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment getdata [ 2.08020000e-02 2.08768845e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment ren+mask_2 [ 2.49188000e-01 2.53977060e-01 1.63201172e+03 3.74070312e+02] REGRESSION : MOM0FLUX: x.NS_115.15394 -722.166 0.164963 0.0330578 448.975 448.975 0 TIMING : Moment mom0flux [ 5.27800000e-02 5.29551506e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment flux-spectrum [ 2.62318000e-01 2.67252922e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment done [ 1.48440000e-02 1.48859024e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment END [ 1.916919 3.97526717] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.NS_115.15394/lc.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.NS_115.15394/lc.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.NS_115.15394/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 [ 8.98977540e+01 1.64394474e+09] TIMING : Moment BEGIN [ 0. 0.] TIMING : Moment open [ 4.87320000e-02 4.88581657e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment immoments-all [ 2.21084000e-01 4.07202005e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment mom0clip [ 6.92130000e-02 1.35409832e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment implot [ 9.30320000e-02 4.00663137e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment getdata [ 2.09730000e-02 2.10449696e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment ren+mask_0 [ 2.53246000e-01 2.58024931e-01 1.63201172e+03 3.74070312e+02] 2022-02-04 03:19:05 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 [ 1.52414000e-01 5.67255974e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment implot [ 7.66210000e-02 3.37581158e-01 1.63201172e+03 3.74070312e+02] TIMING : Moment getdata [ 2.06580000e-02 2.07269192e-02 1.63201172e+03 3.74070312e+02] TIMING : Moment ren+mask_1 [ 2.49103000e-01 2.53901958e-01 1.63201172e+03 3.74074219e+02] 2022-02-04 03:19:06 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 [ 1.52836000e-01 4.44516897e-01 1.63201172e+03 3.74074219e+02] TIMING : Moment implot [ 7.62260000e-02 3.31980228e-01 1.63201172e+03 3.74074219e+02] TIMING : Moment getdata [ 2.07250000e-02 2.07967758e-02 1.63201172e+03 3.74074219e+02] TIMING : Moment ren+mask_2 [ 2.59819000e-01 2.64536142e-01 1.63201172e+03 3.74074219e+02] REGRESSION : MOM0FLUX: x.CO_115.27120 -9343.24 7159.62 0.0330578 459.449 459.449 51.1695 TIMING : Moment mom0flux [ 5.26160000e-02 5.27708530e-02 1.63201172e+03 3.74074219e+02] TIMING : Moment flux-spectrum [ 7.40899000e-01 7.47032166e-01 1.63201172e+03 3.74074219e+02] TIMING : Moment done [ 1.48400000e-02 1.48789883e-02 1.63201172e+03 3.74074219e+02] TIMING : Moment END [ 2.535438 4.33963799] INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@1.mom_0 INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@1.mom_1 INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc-@1.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 [ 9.25423480e+01 1.64394475e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[95, 98],0.164963 TIMING : CubeSpectrum Moment-pos [ 5.51320000e-02 5.52909374e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum open [ 1.23490000e-02 1.23829842e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum imval [ 3.61000000e-02 3.62870693e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum imhead [ 4.24020000e-02 4.25598621e-02 1.63201172e+03 3.74074219e+02] REGRESSION : CSP: [0.028777245432138443] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.50446000e-01 2.55548000e-01 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum summary [ 1.25000000e-02 1.25410557e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum END [ 0.421264 0.42697883] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.NS_115.15394/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 [ 9.30243590e+01 1.64394475e+09] TIMING : CubeSpectrum BEGIN [ 0. 0.] INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 73],33.723354 TIMING : CubeSpectrum Moment-pos [ 5.52050000e-02 5.53560257e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum open [ 1.24070000e-02 1.24440193e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum imval [ 3.92470000e-02 3.94439697e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum imhead [ 4.27120000e-02 4.28769588e-02 1.63201172e+03 3.74074219e+02] REGRESSION : CSP: [0.60351389646530151] INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables TIMING : CubeSpectrum done [ 2.59789000e-01 2.64760971e-01 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum summary [ 1.25930000e-02 1.26290321e-02 1.63201172e+03 3.74074219e+02] TIMING : CubeSpectrum END [ 0.43438 0.43997097] INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@2.csp TIMING : ADMITrun END [ 91.633449 104.35364389] INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 91.6334 104.354 ]