INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85778.nfs.fits'} for Ingest_AT
INFO : AT.py : Setting 'ppp' = True for CubeStats_AT
INFO : AT.py : Setting 'numsigma' = 4.0 for CubeSum_AT
INFO : AT.py : Setting 'sigma' = 99.0 for CubeSum_AT
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 : Region_J-K_85778.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 [ 2.29544100e+00 1.64394270e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: Region_J-K SHAPE: [ 91 91 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.00005000e-01 2.07736969e-01 1.41021094e+03 2.16753906e+02]
TIMING : Ingest importfits [ 1.38421000e-01 2.93797970e-01 1.41094531e+03 2.17980469e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.41230000e-02 1.40538931e-01 1.41555469e+03 2.23488281e+02]
TIMING : Ingest summary-0 [ 1.47150000e-02 1.48019791e-02 1.41555469e+03 2.23488281e+02]
TIMING : Ingest mask [ 4.33270000e-02 8.14452171e-02 1.41555469e+03 2.23890625e+02]
TIMING : Ingest summary-1 [ 1.40710000e-02 1.77268982e-02 1.41555469e+03 2.23890625e+02]
TIMING : Ingest statistics [ 6.61800000e-02 6.63499832e-02 1.41669141e+03 2.26101562e+02]
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: [ 91 91 689 1] 4834713 -0.099229 0.795026
INFO : Ingest_AT.py : S/N (all data): 32.222040
INFO : Ingest_AT.py : GOOD PIXELS: 4834713/5705609 (84.736143% good or 15.263857% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0992293 0.795026 0.0246734 91 91 689 15.263857
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: Region_J-K
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 45.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 45.000000
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: 115.25 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.384822 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -295.492064 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = -295.492064 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.91904000e-01 6.09440088e-01 1.41944141e+03 2.29515625e+02]
TIMING : Ingest END [ 1.14488 1.44400787]
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 [ 3.50125300e+00 1.64394270e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.29520000e-02 5.39081097e-02 1.41869141e+03 2.29089844e+02]
TIMING : CubeStats start [ 1.28630000e-02 1.29408836e-02 1.41869141e+03 2.29089844e+02]
TIMING : CubeStats imstat0 [ 2.40204000e-01 2.41616011e-01 1.44746484e+03 2.58433594e+02]
TIMING : CubeStats imstat1 [ 2.99478000e-01 3.00286055e-01 1.43342969e+03 2.44703125e+02]
INFO : CubeStats_AT.py : sigma varies from 0.006914 to 0.028115; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0138285 (4.06631 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.38170000e-01 8.41126919e-01 1.43342969e+03 2.44707031e+02]
INFO : CubeStats_AT.py : CubeMax: 0.795026 @ [ 53 35 324 0]
INFO : CubeStats_AT.py : CubeMin: -0.099229 @ [ 28 20 511 0]
INFO : CubeStats_AT.py : CubeRMS: 0.014668
INFO : CubeStats_AT.py : RMS Sanity check 1.682147
WARNING : CubeStats_AT.py : RMS sanity check = 1.682147. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.014668 1.682147
INFO : CubeStats_AT.py : mean,rms,S/N=0.001994 0.014668 54.202201
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.893053 1.785153
TIMING : CubeStats plotting [ 2.29073 2.47942019 1455.171875 264.6640625 ]
TIMING : CubeStats done [ 1.36270000e-02 1.40199661e-02 1.45517188e+03 2.64664062e+02]
TIMING : CubeStats summary [ 1.22520000e-02 1.23059750e-02 1.45517188e+03 2.64664062e+02]
TIMING : CubeStats END [ 3.772443 3.96783304]
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 [ 7.33367400e+00 1.64394271e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.014668
TIMING : CubeSum start [ 5.22110000e-02 5.23591042e-02 1.45517188e+03 2.64664062e+02]
TIMING : CubeSum immoments [ 9.54220000e-02 1.51628971e-01 1.45612500e+03 2.65910156e+02]
TIMING : CubeSum statistics [ 2.00740000e-02 2.01609135e-02 1.45612500e+03 2.65910156e+02]
INFO : CubeSum_AT.py : Total flux: 168258.325921 (sum=5562.257090)
REGRESSION : CSM: [168258.32592080551, 5562.2570900145311]
TIMING : CubeSum implot [ 1.44798000e-01 6.09480214e+00 1.52812891e+03 2.65964844e+02]
TIMING : CubeSum getdata [ 2.15620000e-02 2.16479301e-02 1.52812891e+03 2.65964844e+02]
TIMING : CubeSum done [ 2.45139000e-01 2.64010906e-01 1.52882812e+03 2.66726562e+02]
TIMING : CubeSum END [ 0.59299 6.6184411]
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 [ 7.98691600e+00 1.64394271e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.37490000e-02 3.38530540e-02 1.52882812e+03 2.66726562e+02]
TIMING : SFind2D imstat [ 4.12820000e-02 4.15229797e-02 1.52882812e+03 2.66726562e+02]
INFO : AT.py : Setting 'sigma' = 0.920982511043 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.920983 -1.30856 13.5043 35 0.272797
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 2.50984000e-01 2.60480881e-01 1.52882812e+03 2.67273438e+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 : 00:42:39.113 +41.32.03.37 38.03 58.47 13.5 233 83.869 34.869 66.5 14.6
INFO : SFind2D_AT.py : 00:42:31.603 +41.29.48.86 53.37 34.01 12.3 200 65.896 39.622 41.0 13.3
INFO : SFind2D_AT.py : 00:42:43.459 +41.33.00.21 29.16 68.80 10.4 257 70.840 55.142 22.8 11.3
INFO : SFind2D_AT.py : 00:42:29.345 +41.29.03.33 57.98 25.73 8.75 190 79.725 44.161 19.5 9.5
INFO : SFind2D_AT.py : 00:42:41.758 +41.32.48.40 32.63 66.65 7.71 35.6 27.500 27.500 90.0 8.4
INFO : SFind2D_AT.py : 00:42:25.108 +41.28.17.71 66.64 17.44 6.02 98.7 67.713 36.536 55.6 6.5
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.56764000e-01 2.61798143e-01 1.52882812e+03 2.67273438e+02]
REGRESSION : CONTFLUX: 6 1013.65
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 [ 2.79632000e-01 2.98699856e-01 1.52882812e+03 2.67441406e+02]
TIMING : SFind2D END [ 0.876113 0.91008902]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.987834 13.60110593]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.98783 13.6011 ]
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 [ 9.07689300e+00 1.64394271e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[53, 35, 324],0.795026
TIMING : CubeSpectrum CubeStats-pos [ 4.79920000e-02 4.81169224e-02 1.52882812e+03 2.67441406e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],13.504304
TIMING : CubeSpectrum Moment-pos [ 4.20170000e-02 4.21440601e-02 1.52882812e+03 2.67441406e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m39.113s', '+41d32m03.37s'),13.490597
TIMING : CubeSpectrum SourceList-pos [ 3.58740000e-02 3.59730721e-02 1.52882812e+03 2.67441406e+02]
TIMING : CubeSpectrum open [ 1.21730000e-02 1.22129917e-02 1.52882812e+03 2.67441406e+02]
TIMING : CubeSpectrum imval [ 4.35520000e-02 4.37579155e-02 1.52882812e+03 2.67800781e+02]
TIMING : CubeSpectrum imhead [ 4.15330000e-02 4.16800976e-02 1.52882812e+03 2.67800781e+02]
TIMING : CubeSpectrum imval [ 2.29192000e-01 2.48005867e-01 1.52882812e+03 2.67808594e+02]
TIMING : CubeSpectrum imval [ 2.60659000e-01 2.80285120e-01 1.52882812e+03 2.67871094e+02]
REGRESSION : CSP: [0.60791337490081787, 0.57790738344192505, 0.79502600431442261]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.78710000e-01 2.98506975e-01 1.52882812e+03 2.67871094e+02]
TIMING : CubeSpectrum summary [ 1.23810000e-02 1.24158859e-02 1.52882812e+03 2.67871094e+02]
TIMING : CubeSpectrum END [ 1.016256 1.07530999]
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 [ 1.01531420e+01 1.64394272e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43150000e-02 2.43790150e-02 1.52882812e+03 2.67871094e+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 [ 34.832834 34.917629 1528.828125 268.265625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [155, 159]
WARNING : specutil.py : 1 [294, 337]
WARNING : specutil.py : 2 [494, 501]
WARNING : specutil.py : 3 [636, 639]
WARNING : specutil.py : 4 [657, 662]
WARNING : specutil.py : 5 [668, 672]
WARNING : specutil.py : 6 [459, 461]
WARNING : specutil.py : 0 [295, 337]
WARNING : specutil.py : 1 [493, 501]
WARNING : specutil.py : 2 [657, 662]
WARNING : specutil.py : 3 [459, 461]
WARNING : specutil.py : 0 [128, 132]
WARNING : specutil.py : 1 [243, 255]
WARNING : specutil.py : 2 [310, 339]
WARNING : specutil.py : 3 [471, 474]
WARNING : specutil.py : 4 [479, 483]
WARNING : specutil.py : 5 [536, 542]
WARNING : specutil.py : 6 [548, 552]
WARNING : specutil.py : 7 [669, 672]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [279, 355]
WARNING : specutil.py : 1 [386, 389]
WARNING : specutil.py : 2 [586, 601]
WARNING : specutil.py : 0 [510, 513]
WARNING : specutil.py : 1 [519, 522]
TIMING : LineSegment segment finder [ 4.879688 4.89148617 1528.828125 268.265625 ]
INFO : LineSegment_AT.py : Segment Coverage 117 / 689 = 0.169811
REGRESSION : LINESEG: [[115.35943106138659, 115.38911856339757], [115.40122793921783, 115.40239981429723], [115.47935294450991, 115.48521231990684], [115.44966544249893, 115.4508373175783], [115.45318106773708, 115.45435294281646], [115.31099355810548, 115.31255605821131], [115.36529043678348, 115.38208731292129], [115.44341544207556, 115.44614981726079], [115.49888419583294, 115.50005607091232], [115.50708732138861, 115.50904044652091], [115.51138419667967, 115.51294669678552], [115.42974356614944, 115.43052481620238], [115.36568106180994, 115.38208731292129], [115.44302481704911, 115.44614981726079], [115.50708732138861, 115.50904044652091], [115.42974356614944, 115.43052481620238], [115.30044668239105, 115.3020091824969], [115.34536856043401, 115.35005606075153], [115.37154043720685, 115.3828685629742], [115.43443106646698, 115.43560294154635], [115.43755606667867, 115.4391185667845], [115.45982169318691, 115.46216544334567], [115.46450919350443, 115.46607169361027], [115.51177482170614, 115.51294669678552]]
TIMING : LineSegment done [ 2.307976 2.44283795 1557.3671875 296.703125 ]
TIMING : LineSegment END [ 42.057208 42.28876209]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 50.345904 57.30545187]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.3459 57.3055 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 50.447119 57.493783]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.4471 57.4938 ]
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 [ 5.25611760e+01 1.64394276e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = -295.49 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -295.492
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 20.904807 20.95851707 1557.3671875 296.8125 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 14.312935 14.34758091 1557.3671875 296.8125 ]
TIMING : LineID segment finder [ 1.41180000e-02 1.41630173e-02 1.55736719e+03 2.96812500e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [155, 159]
WARNING : specutil.py : 1 [294, 337]
WARNING : specutil.py : 2 [494, 501]
WARNING : specutil.py : 3 [636, 639]
WARNING : specutil.py : 4 [657, 662]
WARNING : specutil.py : 5 [668, 672]
WARNING : specutil.py : 6 [459, 461]
WARNING : specutil.py : 0 [295, 337]
WARNING : specutil.py : 1 [493, 501]
WARNING : specutil.py : 2 [657, 662]
WARNING : specutil.py : 3 [459, 461]
WARNING : specutil.py : 0 [128, 132]
WARNING : specutil.py : 1 [243, 255]
WARNING : specutil.py : 2 [310, 339]
WARNING : specutil.py : 3 [471, 474]
WARNING : specutil.py : 4 [479, 483]
WARNING : specutil.py : 5 [536, 542]
WARNING : specutil.py : 6 [548, 552]
WARNING : specutil.py : 7 [669, 672]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [279, 355]
WARNING : specutil.py : 1 [386, 389]
WARNING : specutil.py : 2 [586, 601]
WARNING : specutil.py : 0 [510, 513]
WARNING : specutil.py : 1 [519, 522]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit.
INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit.
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 128 - 639
REGRESSION : LINEID: CO 115.27120 128 639
INFO : LineID_AT.py : Found line: g'Ga-(CH2OH)2 31(5,26)v=1-31(5,27)v=0 @ 115.39456GHz, channels 657 - 662
REGRESSION : LINEID: g'Ga-(CH2OH)2 115.39456 657 662
INFO : LineID_AT.py : Found line: U_115.3988 @ 115.398812606GHz, channels 668 - 672
REGRESSION : LINEID: U_115.3988 115.39881 668 672
INFO : LineID_AT.py : Line Coverage 523 / 689 = 0.759071
TIMING : LineID done [ 19.852141 20.11327314 1667.14453125 408.046875 ]
TIMING : LineID END [ 55.098426 55.44799519]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 105.898455 113.39963293]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 105.898 113.4 ]
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 [ 1.07965835e+02 1.64394281e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 8.62200000e-02 8.71288776e-02 1.61902344e+03 3.59925781e+02]
TIMING : LineCube pad [ 1.38180000e-02 1.38571262e-02 1.61902344e+03 3.59925781e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 9.17170000e-02 3.20883036e-01 1.61902344e+03 3.59988281e+02]
TIMING : LineCube trans-x.(CH2OH)2_115.39456 [ 7.17820000e-02 1.95883989e-01 1.61902344e+03 3.60046875e+02]
TIMING : LineCube trans-x.U_115.3988 [ 7.20210000e-02 3.21981907e-01 1.61902344e+03 3.60046875e+02]
REGRESSION : LC: [123, 644, 652, 667, 663, 677]
TIMING : LineCube done [ 2.49570000e-02 2.50220299e-02 1.61902344e+03 3.60046875e+02]
TIMING : LineCube END [ 0.372911 0.97719693]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.(CH2OH)2_115.39456/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.U_115.3988/lc.im
TIMING : ADMITrun END [ 106.500893 114.69325304]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 106.501 114.693 ]
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
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 - '@3' (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 [ 1.08761220e+02 1.64394282e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.90760000e-02 4.91988659e-02 1.61902344e+03 3.60046875e+02]
TIMING : Moment immoments-0 [ 1.07954000e-01 1.74577951e-01 1.63654297e+03 3.77566406e+02]
TIMING : Moment mom0clip [ 6.92610000e-02 1.41808033e-01 1.63654297e+03 3.77566406e+02]
TIMING : Moment implot [ 9.90390000e-02 3.49958181e-01 1.63654297e+03 3.77816406e+02]
TIMING : Moment getdata [ 2.16110000e-02 2.16858387e-02 1.63654297e+03 3.77816406e+02]
TIMING : Moment ren+mask_0 [ 3.46793000e-01 3.51434946e-01 1.63791406e+03 3.79285156e+02]
TIMING : Moment done [ 1.55710000e-02 1.56199932e-02 1.63791406e+03 3.79285156e+02]
TIMING : Moment END [ 0.721666 1.11670303]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@3.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 [ 1.09543876e+02 1.64394282e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85560000e-02 4.86750603e-02 1.63791406e+03 3.79285156e+02]
TIMING : Moment immoments-all [ 1.25549000e-01 5.54476023e-01 1.63791406e+03 3.79285156e+02]
TIMING : Moment mom0clip [ 7.03550000e-02 1.60413980e-01 1.63791406e+03 3.79285156e+02]
TIMING : Moment implot [ 9.83790000e-02 3.65736008e-01 1.63791406e+03 3.79285156e+02]
TIMING : Moment getdata [ 2.10700000e-02 2.11489201e-02 1.63791406e+03 3.79285156e+02]
TIMING : Moment ren+mask_0 [ 2.77194000e-01 2.82008171e-01 1.63791406e+03 3.79285156e+02]
TIMING : Moment makemask [ 1.51016000e-01 6.16092920e-01 1.63791406e+03 3.79640625e+02]
TIMING : Moment implot [ 7.74160000e-02 3.23356867e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment getdata [ 2.05290000e-02 2.11582184e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment ren+mask_1 [ 3.23745000e-01 3.28753948e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment makemask [ 1.52721000e-01 4.79917049e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment implot [ 7.94780000e-02 3.08215857e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment getdata [ 2.26840000e-02 2.32441425e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment ren+mask_2 [ 2.94063000e-01 2.98949957e-01 1.63791406e+03 3.79867188e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 6597.17 3748 0.0330578 -271.859 -271.859 12.9705
TIMING : Moment mom0flux [ 5.23450000e-02 5.24959564e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment flux-spectrum [ 5.35330000e-01 5.41120052e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment done [ 1.56930000e-02 1.57349110e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment END [ 2.378467 4.45389509]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc.mom_2
INFO :
INFO :
INFO : Executing 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 [ 1.12031264e+02 1.64394282e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85210000e-02 4.86431122e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment immoments-all [ 7.16240000e-02 2.68574953e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment mom0clip [ 6.79890000e-02 1.02643013e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment implot [ 9.41220000e-02 3.43430042e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment getdata [ 2.27120000e-02 2.27880478e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment ren+mask_0 [ 2.94238000e-01 2.99128056e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment makemask [ 1.63679000e-01 4.60886002e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment implot [ 8.67760000e-02 3.32909822e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment getdata [ 2.24760000e-02 2.25541592e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment ren+mask_1 [ 3.08465000e-01 3.12832832e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment makemask [ 1.55117000e-01 1.12354398e+00 1.63791406e+03 3.79867188e+02]
TIMING : Moment implot [ 7.98040000e-02 3.23290110e-01 1.63791406e+03 3.79867188e+02]
TIMING : Moment getdata [ 2.19940000e-02 2.20670700e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment ren+mask_2 [ 2.91700000e-01 2.96309948e-01 1.63791406e+03 3.79867188e+02]
REGRESSION : MOM0FLUX: x.(CH2OH)2_115.39456 612.785 283.037 0.0330578 -294.653 -294.653 1.2595
TIMING : Moment mom0flux [ 5.25720000e-02 5.28149605e-02 1.63791406e+03 3.79867188e+02]
TIMING : Moment flux-spectrum [ 2.93865000e-01 2.98409939e-01 1.63766406e+03 3.79617188e+02]
TIMING : Moment done [ 1.58160000e-02 1.58631802e-02 1.63766406e+03 3.79617188e+02]
TIMING : Moment END [ 2.103843 4.35912108]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.(CH2OH)2_115.39456/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.(CH2OH)2_115.39456/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.(CH2OH)2_115.39456/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 [ 1.14243961e+02 1.64394283e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.84850000e-02 4.86330986e-02 1.63766406e+03 3.79617188e+02]
TIMING : Moment immoments-all [ 7.86960000e-02 2.65146971e-01 1.63766406e+03 3.79617188e+02]
TIMING : Moment mom0clip [ 6.89070000e-02 9.26859379e-02 1.63766406e+03 3.79617188e+02]
TIMING : Moment implot [ 9.57810000e-02 3.43286037e-01 1.63766406e+03 3.79617188e+02]
TIMING : Moment getdata [ 2.22180000e-02 2.25999355e-02 1.63766406e+03 3.79617188e+02]
TIMING : Moment ren+mask_0 [ 2.95626000e-01 3.00101995e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment makemask [ 1.50809000e-01 3.70668173e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment implot [ 7.75640000e-02 3.14436913e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment getdata [ 2.18040000e-02 2.18760967e-02 1.63741406e+03 3.79367188e+02]
TIMING : Moment ren+mask_1 [ 2.88646000e-01 2.93213844e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment makemask [ 1.53380000e-01 3.87042999e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment implot [ 8.27180000e-02 3.09410095e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment getdata [ 2.20480000e-02 2.21328735e-02 1.63741406e+03 3.79367188e+02]
TIMING : Moment ren+mask_2 [ 2.84340000e-01 2.89571047e-01 1.63741406e+03 3.79367188e+02]
REGRESSION : MOM0FLUX: x.U_115.3988 2.65736 28.5239 0.0330578 -295.216 -295.216 2.02172
TIMING : Moment mom0flux [ 5.24390000e-02 5.26280403e-02 1.63741406e+03 3.79367188e+02]
TIMING : Moment flux-spectrum [ 2.79143000e-01 2.84048080e-01 1.63741406e+03 3.79367188e+02]
TIMING : Moment done [ 1.56600000e-02 1.57048702e-02 1.63741406e+03 3.79367188e+02]
TIMING : Moment END [ 2.050806 3.44579601]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.3988/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.3988/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.3988/lc-@2.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 [ 1.16403459e+02 1.64394283e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],13.402967
TIMING : CubeSpectrum Moment-pos [ 5.49180000e-02 5.50720692e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum open [ 1.25660000e-02 1.26049519e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imval [ 4.08890000e-02 4.10940647e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imhead [ 4.25160000e-02 4.26800251e-02 1.63741406e+03 3.79367188e+02]
REGRESSION : CSP: [0.57790738344192505]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.78879000e-01 2.83674002e-01 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum summary [ 1.27910000e-02 1.28319263e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum END [ 0.455026 0.460464]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/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 [ 1.16919337e+02 1.64394283e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[28, 19],0.626956
TIMING : CubeSpectrum Moment-pos [ 5.52360000e-02 5.53958416e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum open [ 1.25780000e-02 1.26161575e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imval [ 3.72630000e-02 3.74357700e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imhead [ 4.24370000e-02 4.26011086e-02 1.63741406e+03 3.79367188e+02]
REGRESSION : CSP: [0.059894617646932602]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.76484000e-01 2.81201124e-01 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum summary [ 1.26900000e-02 1.27248764e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum END [ 0.449124 0.4544518]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.(CH2OH)2_115.39456/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 [ 1.17428952e+02 1.64394283e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[77, 81],0.526747
TIMING : CubeSpectrum Moment-pos [ 6.12710000e-02 6.14521503e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum open [ 1.25770000e-02 1.26190186e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imval [ 3.77650000e-02 3.79598141e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum imhead [ 4.30970000e-02 4.32801247e-02 1.63741406e+03 3.79367188e+02]
REGRESSION : CSP: [0.056649934500455856]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.87293000e-01 2.92119980e-01 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum summary [ 1.27890000e-02 1.28340721e-02 1.63741406e+03 3.79367188e+02]
TIMING : CubeSpectrum END [ 0.467154 0.47266698]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3988/lc-@3.csp