INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92178.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 : SEXTANS-A_92178.nfs.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -999999.9
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 2.12890500e+00 1.64394519e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 55 55 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.69510000e-01 1.75691843e-01 1.41056250e+03 2.17437500e+02]
TIMING : Ingest importfits [ 1.10074000e-01 1.48469210e-01 1.41057812e+03 2.18570312e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.60680000e-02 1.44059896e-01 1.41308594e+03 2.22105469e+02]
TIMING : Ingest summary-0 [ 1.43520000e-02 1.44109726e-02 1.41308594e+03 2.22105469e+02]
TIMING : Ingest mask [ 2.82610000e-02 7.95869827e-02 1.41308594e+03 2.22105469e+02]
TIMING : Ingest summary-1 [ 1.37680000e-02 1.75759792e-02 1.41308594e+03 2.22105469e+02]
TIMING : Ingest statistics [ 4.85900000e-02 4.87260818e-02 1.41113281e+03 2.21308594e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 12.6500004, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 12.6500004, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 55 55 689 1] 1933334 -0.054728 0.049264
INFO : Ingest_AT.py : S/N (all data): 6.611284
INFO : Ingest_AT.py : GOOD PIXELS: 1933334/2084225 (92.760331% good or 7.239669% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0547278 0.049264 0.0074515 55 55 689 7.239669
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: SEXTANS-A
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 152.783800 -5.500001 27.000000
INFO : Ingest_AT.py : DEC Axis 2: -4.704639 5.500001 27.000000
INFO : Ingest_AT.py : VLSRv = 0.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz = 0.000000 +/- 0.000000 1 values: [ 0.]
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.016 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.149890 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 315.507976 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = 315.507976 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.66046000e-01 5.70800066e-01 1.41468750e+03 2.25140625e+02]
TIMING : Ingest END [ 1.018814 1.21149993]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.2.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : True
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 3.20864700e+00 1.64394519e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.22320000e-02 5.24690151e-02 1.41393750e+03 2.24472656e+02]
TIMING : CubeStats start [ 1.24980000e-02 1.25370026e-02 1.41393750e+03 2.24472656e+02]
TIMING : CubeStats imstat0 [ 1.30524000e-01 1.30988121e-01 1.43180078e+03 2.43136719e+02]
TIMING : CubeStats imstat1 [ 1.55977000e-01 1.56486988e-01 1.43452344e+03 2.45703125e+02]
INFO : CubeStats_AT.py : sigma varies from 0.003737 to 0.007778; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00747418 (2.08117 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.67773000e-01 7.70521879e-01 1.43452344e+03 2.45804688e+02]
INFO : CubeStats_AT.py : CubeMax: 0.049264 @ [27 13 7 0]
INFO : CubeStats_AT.py : CubeMin: -0.054728 @ [45 36 20 0]
INFO : CubeStats_AT.py : CubeRMS: 0.005816
INFO : CubeStats_AT.py : RMS Sanity check 1.281288
REGRESSION : CST: 0.005816 1.281288
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000073 0.005816 8.470955
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.064873 2.113700
TIMING : CubeStats plotting [ 2.467371 2.64024401 1458.421875 267.98046875]
TIMING : CubeStats done [ 1.38230000e-02 1.38590336e-02 1.45842188e+03 2.67980469e+02]
TIMING : CubeStats summary [ 1.22040000e-02 1.22520924e-02 1.45842188e+03 2.67980469e+02]
TIMING : CubeStats END [ 3.624522 3.8015151]
INFO : AT.py : BDP_OUT[0] = CubeStats_BDP x.cst
INFO :
INFO :
INFO : Executing CubeSum_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : linesum : True
INFO : numsigma : 4.0
INFO : zoom : 1
INFO : pad : 5
INFO : sigma : 99.0
INFO :
TIMING : CubeSum ADMIT [ 6.89300200e+00 1.64394519e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.005816
TIMING : CubeSum start [ 5.19970000e-02 5.21459579e-02 1.45842188e+03 2.67984375e+02]
TIMING : CubeSum immoments [ 6.19730000e-02 1.68875933e-01 1.45842188e+03 2.68308594e+02]
TIMING : CubeSum statistics [ 1.99210000e-02 1.99921131e-02 1.45842188e+03 2.68308594e+02]
INFO : CubeSum_AT.py : Total flux: 247.350769 (sum=8.176883)
REGRESSION : CSM: [247.35076858734689, 8.1768825332487722]
TIMING : CubeSum implot [ 1.45572000e-01 6.07488298e+00 1.53042578e+03 2.68335938e+02]
TIMING : CubeSum getdata [ 2.12400000e-02 2.13129520e-02 1.53042578e+03 2.68335938e+02]
TIMING : CubeSum done [ 2.44638000e-01 2.63170004e-01 1.53042578e+03 2.68402344e+02]
TIMING : CubeSum END [ 0.558954 6.61402607]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.csm
INFO :
INFO :
INFO : Executing SFind2D_AT - 'csm' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : nmax : 30
INFO : numsigma : 4.0
INFO : snmax : 35.0
INFO : region :
INFO : zoom : 1
INFO : robust : ['hin', 1.5]
INFO : sigma : -1.0
INFO :
TIMING : SFind2D ADMIT [ 7.51247900e+00 1.64394520e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.88300000e-02 3.89420986e-02 1.53042578e+03 2.68402344e+02]
TIMING : SFind2D imstat [ 4.08270000e-02 4.10468578e-02 1.53042578e+03 2.68402344e+02]
INFO : AT.py : Setting 'sigma' = 0.0989128875578 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.0989129 -1.32751 1.22581 35 0.322768
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.01444000e-01 1.09094143e-01 1.53042578e+03 2.68703125e+02]
INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR
INFO : SFind2D_AT.py : K.km/s Jy arcsec arcsec deg
INFO : SFind2D_AT.py : 10:11:09.001 -04.41.18.31 24.58 37.62 1.12 3.74 31.315 14.240 86.9 11.3
INFO : SFind2D_AT.py : 10:11:09.025 -04.43.33.63 24.52 13.01 1.11 3.98 35.848 14.314 88.8 11.2
INFO : SFind2D_AT.py : 10:11:09.188 -04.41.18.15 24.08 37.65 1.12 4.54 39.793 14.037 86.5 11.3
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.82320000e-01 1.86697006e-01 1.53042578e+03 2.69128906e+02]
REGRESSION : CONTFLUX: 3 12.2657
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 12.7 arcsec , Minor axis: 12.7 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 3.02992000e-01 3.21878910e-01 1.53042578e+03 2.69167969e+02]
TIMING : SFind2D END [ 0.679842 0.71115804]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.479832 13.03078914]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.47983 13.0308 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 8.40765900e+00 1.64394520e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[27, 13, 7],0.049264
TIMING : CubeSpectrum CubeStats-pos [ 4.84350000e-02 4.85570431e-02 1.53042578e+03 2.69167969e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 38],1.225808
TIMING : CubeSpectrum Moment-pos [ 4.19980000e-02 4.21228409e-02 1.53042578e+03 2.69167969e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('10h11m09.001s', '-04d41m18.31s'),1.116341
TIMING : CubeSpectrum SourceList-pos [ 3.62570000e-02 3.63481045e-02 1.53042578e+03 2.69167969e+02]
TIMING : CubeSpectrum open [ 1.22950000e-02 1.23300552e-02 1.53042578e+03 2.69167969e+02]
TIMING : CubeSpectrum imval [ 4.38650000e-02 4.40709591e-02 1.53042578e+03 2.69523438e+02]
TIMING : CubeSpectrum imhead [ 4.18910000e-02 4.20398712e-02 1.53042578e+03 2.69523438e+02]
TIMING : CubeSpectrum imval [ 2.60725000e-01 2.79235125e-01 1.53042578e+03 2.69667969e+02]
TIMING : CubeSpectrum imval [ 2.63243000e-01 2.82296896e-01 1.53042578e+03 2.69667969e+02]
REGRESSION : CSP: [0.047215290367603302, 0.044647514820098877, 0.049263976514339447]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.93185000e-01 3.12077999e-01 1.53042578e+03 2.69667969e+02]
TIMING : CubeSpectrum summary [ 1.23440000e-02 1.23770237e-02 1.53042578e+03 2.69667969e+02]
TIMING : CubeSpectrum END [ 1.066419 1.12366986]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.csp
INFO :
INFO :
INFO : Executing LineSegment_AT - '' (V1.2.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : 5.0
INFO : minchan : 4
INFO : edgechannels : 0
INFO : smooth : []
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 9.53448100e+00 1.64394520e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43430000e-02 2.44069099e-02 1.53042578e+03 2.69667969e+02]
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input Spectra
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineSegment getspectrum [ 31.012602 31.08656812 1530.42578125 270.0546875 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [0, 36]
WARNING : specutil.py : 1 [104, 109]
WARNING : specutil.py : 2 [210, 219]
WARNING : specutil.py : 3 [230, 234]
WARNING : specutil.py : 4 [243, 246]
WARNING : specutil.py : 0 [0, 35]
WARNING : specutil.py : 1 [102, 109]
WARNING : specutil.py : 2 [210, 219]
WARNING : specutil.py : 3 [243, 246]
WARNING : specutil.py : 4 [382, 385]
WARNING : specutil.py : 0 [0, 40]
WARNING : specutil.py : 1 [124, 127]
WARNING : specutil.py : 2 [179, 183]
WARNING : specutil.py : 3 [209, 212]
WARNING : specutil.py : 4 [225, 228]
WARNING : specutil.py : 5 [479, 483]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [0, 9]
WARNING : specutil.py : 1 [17, 20]
WARNING : specutil.py : 2 [26, 32]
WARNING : specutil.py : 0 [11, 22]
WARNING : specutil.py : 1 [38, 41]
TIMING : LineSegment segment finder [ 4.767643 4.77885389 1530.42578125 270.0546875 ]
INFO : LineSegment_AT.py : Segment Coverage 91 / 689 = 0.132075
REGRESSION : LINESEG: [[115.01551511760091, 115.01903074283905], [115.02215574305073, 115.02332761813011], [115.02567136828888, 115.02801511844764], [115.01981199289197, 115.02410886818303], [115.0303588686064, 115.03153074368579], [115.01551511760091, 115.02957761855349], [115.05614012035278, 115.0580932454851], [115.0975463731576, 115.10106199839574], [115.1053588736868, 115.10692137379264], [115.1104369990308, 115.11160887411017], [115.01551511760091, 115.02918699352702], [115.05535887029987, 115.0580932454851], [115.0975463731576, 115.10106199839574], [115.1104369990308, 115.11160887411017], [115.16473387770878, 115.16590575278816], [115.01551511760091, 115.03114011865932], [115.06395262088201, 115.06512449596138], [115.08543699733733, 115.08699949744316], [115.09715574813113, 115.09832762321051], [115.10340574855451, 115.10457762363389], [115.20262450527545, 115.20418700538129]]
TIMING : LineSegment done [ 2.453791 2.58543301 1553.18359375 292.81640625]
TIMING : LineSegment END [ 38.27095 38.48787189]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 46.104103 52.98508 ]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.1041 52.9851 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 46.202289 53.15806794]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.2023 53.1581 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineID_AT
INFO : AT.py : Setting 'references' = etc/tier1_lines.list for LineID_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing LineID_AT - '' (V1.2.7)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : 5.0
INFO : force : []
INFO : tier1width : 0.0
INFO : online : False
INFO : recomblevel : shallow
INFO : references : etc/tier1_lines.list
INFO : csub : [0, 0]
INFO : identifylines : True
INFO : iterate : True
INFO : segment : ADMIT
INFO : allowexotics : False
INFO : minchan : 4
INFO : pattern : AUTO
INFO : edgechannels : 0
INFO : smooth : []
INFO : recalcnoise : False
INFO : vlsr : -999999.99
INFO : maxgap : 3
INFO : reject : []
INFO : method : {'PeakFinder': {'thresh': 0.0}}
INFO : mode : ONE
INFO :
TIMING : LineID ADMIT [ 4.81556920e+01 1.64394524e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 315.51 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 315.508
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 21.148432 21.20342207 1553.18359375 292.81640625]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 9.933666 9.95925999 1553.18359375 292.81640625]
TIMING : LineID segment finder [ 1.42660000e-02 1.43048763e-02 1.55318359e+03 2.92816406e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [0, 36]
WARNING : specutil.py : 1 [104, 109]
WARNING : specutil.py : 2 [210, 219]
WARNING : specutil.py : 3 [230, 234]
WARNING : specutil.py : 4 [243, 246]
WARNING : specutil.py : 0 [0, 35]
WARNING : specutil.py : 1 [102, 109]
WARNING : specutil.py : 2 [210, 219]
WARNING : specutil.py : 3 [243, 246]
WARNING : specutil.py : 4 [382, 385]
WARNING : specutil.py : 0 [0, 40]
WARNING : specutil.py : 1 [124, 127]
WARNING : specutil.py : 2 [179, 183]
WARNING : specutil.py : 3 [209, 212]
WARNING : specutil.py : 4 [225, 228]
WARNING : specutil.py : 5 [479, 483]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [0, 9]
WARNING : specutil.py : 1 [17, 20]
WARNING : specutil.py : 2 [26, 32]
WARNING : specutil.py : 0 [11, 22]
WARNING : specutil.py : 1 [38, 41]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 22.4 km/s
INFO : LineID_AT.py : Found line: cis-CH2OHCHOv=0 5(3,2)-5(1,5) @ 115.14036GHz, channels 0 - 36
REGRESSION : LINEID: cis-CH2OHCHOv=0 115.14036 0 36
INFO : LineID_AT.py : Found line: CH2CHCNv=0 23(2,21)-23(1,22) @ 115.15061GHz, channels 38 - 41
REGRESSION : LINEID: CH2CHCNv=0 115.15061 38 41
INFO : LineID_AT.py : Found line: NS J=5/2-3/2,&Omega=1/2,F=7/2-5/2,l=e @ 115.15394GHz, channels 18 - 40
REGRESSION : LINEID: NS 115.15394 18 40
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 102 - 483
REGRESSION : LINEID: CO 115.27120 102 483
INFO : LineID_AT.py : Line Coverage 424 / 689 = 0.615385
TIMING : LineID done [ 20.347734 21.03758311 1667.17578125 408.53125 ]
TIMING : LineID END [ 51.45826 52.22876906]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 98.0035 105.82415199]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 98.0035 105.824 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing LineCube_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : equalize : False
INFO : pad : 5
INFO : fpad : -1.0
INFO :
TIMING : LineCube ADMIT [ 9.99097310e+01 1.64394529e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.93380000e-02 6.96368217e-02 1.63364062e+03 3.75023438e+02]
TIMING : LineCube pad [ 1.42940000e-02 1.43392086e-02 1.63364062e+03 3.75023438e+02]
WARNING : LineCube_AT.py : pad=5 too large, start=-5 resetting to 0
TIMING : LineCube trans-x.CH2OHCHO_115.14036 [ 9.76840000e-02 2.21567869e-01 1.63364062e+03 3.75144531e+02]
TIMING : LineCube trans-x.CH2CHCN_115.15061 [ 6.95080000e-02 1.56302929e-01 1.63364062e+03 3.75144531e+02]
TIMING : LineCube trans-x.NS_115.15394 [ 6.98150000e-02 1.66117191e-01 1.63364062e+03 3.75144531e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.44080000e-02 1.57703876e-01 1.63364062e+03 3.75144531e+02]
REGRESSION : LC: [0, 41, 33, 46, 13, 45, 97, 488]
TIMING : LineCube done [ 2.51520000e-02 2.52380371e-02 1.63364062e+03 3.75144531e+02]
TIMING : LineCube END [ 0.432661 0.82340193]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CH2OHCHO_115.14036/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.CH2CHCN_115.15061/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.NS_115.15394/lc.im
INFO : AT.py : BDP_OUT[3] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 98.686195 106.9559691]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 98.6862 106.956 ]
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 '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 - '@4' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [3.0]
INFO : moments : [0]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.00831221e+02 1.64394529e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.92490000e-02 4.93650436e-02 1.63364062e+03 3.75144531e+02]
TIMING : Moment immoments-0 [ 6.75630000e-02 2.40911961e-01 1.63364062e+03 3.75144531e+02]
TIMING : Moment mom0clip [ 6.86980000e-02 1.42948866e-01 1.63364062e+03 3.75332031e+02]
TIMING : Moment implot [ 1.00279000e-01 3.52212191e-01 1.63364062e+03 3.75390625e+02]
TIMING : Moment getdata [ 2.21450000e-02 2.22280025e-02 1.63364062e+03 3.75390625e+02]
TIMING : Moment ren+mask_0 [ 4.64841000e-01 4.69721794e-01 1.63527344e+03 3.77023438e+02]
TIMING : Moment done [ 1.62060000e-02 1.62651539e-02 1.63527344e+03 3.77023438e+02]
TIMING : Moment END [ 0.801339 1.30605698]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@4.mom_0
INFO :
INFO :
INFO : Executing Moment_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [2.0]
INFO : moments : [0, 1, 2]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.01693709e+02 1.64394530e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88480000e-02 4.89640236e-02 1.63527344e+03 3.77023438e+02]
TIMING : Moment immoments-all [ 6.91900000e-02 1.93747044e-01 1.63527344e+03 3.77023438e+02]
TIMING : Moment mom0clip [ 6.79260000e-02 9.21649933e-02 1.63527344e+03 3.77023438e+02]
TIMING : Moment implot [ 9.31220000e-02 3.38855028e-01 1.63527344e+03 3.77023438e+02]
TIMING : Moment getdata [ 2.18200000e-02 2.18920708e-02 1.63527344e+03 3.77023438e+02]
TIMING : Moment ren+mask_0 [ 3.27360000e-01 3.32356930e-01 1.63502344e+03 3.76773438e+02]
TIMING : Moment makemask [ 1.50903000e-01 4.80028868e-01 1.63502344e+03 3.77410156e+02]
TIMING : Moment implot [ 7.99020000e-02 3.12813044e-01 1.63502344e+03 3.77410156e+02]
TIMING : Moment getdata [ 2.13180000e-02 2.13880539e-02 1.63502344e+03 3.77410156e+02]
TIMING : Moment ren+mask_1 [ 3.40542000e-01 3.45650911e-01 1.63502344e+03 3.77500000e+02]
TIMING : Moment makemask [ 1.49695000e-01 5.34749985e-01 1.63502344e+03 3.77500000e+02]
TIMING : Moment implot [ 8.10930000e-02 3.10758114e-01 1.63502344e+03 3.77500000e+02]
TIMING : Moment getdata [ 2.17480000e-02 2.18489170e-02 1.63502344e+03 3.77500000e+02]
TIMING : Moment ren+mask_2 [ 3.20916000e-01 3.25829983e-01 1.63502344e+03 3.77500000e+02]
REGRESSION : MOM0FLUX: x.CH2OHCHO_115.14036 66.2024 69.9379 0.0330578 306.63 306.63 1.24565
TIMING : Moment mom0flux [ 5.19520000e-02 5.20970821e-02 1.63502344e+03 3.77500000e+02]
TIMING : Moment flux-spectrum [ 3.20356000e-01 3.25254917e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment done [ 1.59740000e-02 1.60191059e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment END [ 2.195066 3.786865]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH2OHCHO_115.14036/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH2OHCHO_115.14036/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH2OHCHO_115.14036/lc.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@1' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [2.0]
INFO : moments : [0, 1, 2]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.03998335e+02 1.64394530e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86650000e-02 4.88219261e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment immoments-all [ 6.64670000e-02 2.70387888e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment mom0clip [ 6.73200000e-02 1.33005142e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 9.47890000e-02 3.39326859e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.14700000e-02 2.15420723e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_0 [ 3.22784000e-01 3.27632904e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.53794000e-01 6.33489132e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 8.15800000e-02 3.11936855e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.20120000e-02 2.21052170e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_1 [ 3.10074000e-01 3.15854788e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.51654000e-01 5.02717018e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 7.97360000e-02 3.08624983e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.16350000e-02 2.17101574e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_2 [ 2.97450000e-01 3.02082062e-01 1.63452344e+03 3.77000000e+02]
REGRESSION : MOM0FLUX: x.CH2CHCN_115.15061 0.683786 6.44026 0.0330578 313.725 313.725 1.10261
TIMING : Moment mom0flux [ 5.38780000e-02 5.40878773e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment flux-spectrum [ 3.41523000e-01 3.46425056e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment done [ 1.60240000e-02 1.60698891e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment END [ 2.163286 3.98831296]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH2CHCN_115.15061/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH2CHCN_115.15061/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH2CHCN_115.15061/lc-@1.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@2' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [2.0]
INFO : moments : [0, 1, 2]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.06271099e+02 1.64394530e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85470000e-02 4.86600399e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment immoments-all [ 6.87150000e-02 2.38503933e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment mom0clip [ 6.79900000e-02 1.25780106e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 9.33210000e-02 3.37710857e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.26750000e-02 2.25930214e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_0 [ 3.14414000e-01 3.19332123e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.51667000e-01 5.11109829e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 7.91090000e-02 3.07106018e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.21950000e-02 2.29911804e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_1 [ 3.24049000e-01 3.29355001e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.51118000e-01 5.47906876e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 7.82770000e-02 3.09437037e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.20880000e-02 2.26409435e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_2 [ 3.24545000e-01 3.29895973e-01 1.63452344e+03 3.77000000e+02]
REGRESSION : MOM0FLUX: x.NS_115.15394 14.3132 40.2823 0.0330578 334.536 334.536 1.89991
TIMING : Moment mom0flux [ 5.20150000e-02 5.22551537e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment flux-spectrum [ 3.14454000e-01 3.19584846e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment done [ 1.58540000e-02 1.59070492e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment END [ 2.16346 3.87325001]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.NS_115.15394/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.NS_115.15394/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.NS_115.15394/lc-@2.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@3' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [2.0]
INFO : moments : [0, 1, 2]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.08544346e+02 1.64394531e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88420000e-02 4.89559174e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment immoments-all [ 7.82720000e-02 2.32280970e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment mom0clip [ 7.17730000e-02 1.29693031e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 1.09170000e-01 3.52337122e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.58250000e-02 2.59339809e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_0 [ 2.98751000e-01 3.03781033e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.50531000e-01 3.84744883e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 7.76830000e-02 3.14395905e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.11830000e-02 2.12531090e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_1 [ 2.84510000e-01 2.89463997e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment makemask [ 1.49933000e-01 4.76516008e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment implot [ 7.79270000e-02 3.10532093e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment getdata [ 2.08970000e-02 2.09698677e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment ren+mask_2 [ 2.91738000e-01 2.96678066e-01 1.63452344e+03 3.77000000e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 -122.476 39.1103 0.0330578 353.645 353.645 28.8284
TIMING : Moment mom0flux [ 5.21740000e-02 5.23450375e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment flux-spectrum [ 3.58218000e-01 3.63391876e-01 1.63452344e+03 3.77000000e+02]
TIMING : Moment done [ 1.54030000e-02 1.54421329e-02 1.63452344e+03 3.77000000e+02]
TIMING : Moment END [ 2.145139 3.651088]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@3.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@3.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc-@3.mom_2
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@1' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.10798686e+02 1.64394531e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 13],1.358218
TIMING : CubeSpectrum Moment-pos [ 5.44820000e-02 5.46510220e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum open [ 1.24240000e-02 1.24588013e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imval [ 3.69010000e-02 3.70900631e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imhead [ 4.23240000e-02 4.24840450e-02 1.63452344e+03 3.77000000e+02]
REGRESSION : CSP: [0.042162727564573288]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.73071000e-01 2.77909994e-01 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum summary [ 1.25920000e-02 1.26249790e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum END [ 0.444177 0.44968796]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH2OHCHO_115.14036/lc-@1.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@2' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.11303742e+02 1.64394531e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[25, 13],0.273987
TIMING : CubeSpectrum Moment-pos [ 5.45400000e-02 5.47080040e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum open [ 1.23450000e-02 1.23789310e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imval [ 3.63100000e-02 3.64921093e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imhead [ 4.21810000e-02 4.23429012e-02 1.63452344e+03 3.77000000e+02]
REGRESSION : CSP: [0.0429251529276371]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.76997000e-01 2.81893015e-01 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum summary [ 1.26300000e-02 1.26609802e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum END [ 0.44742 0.45293403]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH2CHCN_115.15061/lc-@2.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@3' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.11812332e+02 1.64394531e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 13],0.927064
TIMING : CubeSpectrum Moment-pos [ 5.47380000e-02 5.48961163e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum open [ 1.24400000e-02 1.24759674e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imval [ 3.68090000e-02 3.69939804e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imhead [ 4.24180000e-02 4.25801277e-02 1.63452344e+03 3.77000000e+02]
REGRESSION : CSP: [0.042162727564573288]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.75985000e-01 2.80920029e-01 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum summary [ 1.25490000e-02 1.25849247e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum END [ 0.447252 0.45280313]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.NS_115.15394/lc-@3.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@4' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.12320375e+02 1.64394531e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[46, 38],1.248184
TIMING : CubeSpectrum Moment-pos [ 5.45580000e-02 5.47258854e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum open [ 1.23830000e-02 1.24199390e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imval [ 3.88200000e-02 3.90090942e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum imhead [ 4.21500000e-02 4.23181057e-02 1.63452344e+03 3.77000000e+02]
REGRESSION : CSP: [0.028872648254036903]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.79624000e-01 2.84405947e-01 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum summary [ 1.26260000e-02 1.26569271e-02 1.63452344e+03 3.77000000e+02]
TIMING : CubeSpectrum END [ 0.452574 0.45799303]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@4.csp