INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92787.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_92787.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 [ 2.15376700e+00 1.64394545e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 45 45 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.59127000e-01 1.65473223e-01 1.41036719e+03 2.16972656e+02]
TIMING : Ingest importfits [ 1.04577000e-01 1.55523777e-01 1.41064062e+03 2.18386719e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.40570000e-02 1.10128164e-01 1.41278906e+03 2.21242188e+02]
TIMING : Ingest summary-0 [ 1.38160000e-02 1.38759613e-02 1.41278906e+03 2.21242188e+02]
TIMING : Ingest mask [ 2.45810000e-02 3.45470905e-02 1.41278906e+03 2.21503906e+02]
TIMING : Ingest summary-1 [ 1.35480000e-02 1.78608894e-02 1.41278906e+03 2.21503906e+02]
TIMING : Ingest statistics [ 3.81620000e-02 3.82649899e-02 1.41172656e+03 2.21628906e+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: [ 45 45 689 1] 1365598 -0.055589 0.053985
INFO : Ingest_AT.py : S/N (all data): 5.407897
INFO : Ingest_AT.py : GOOD PIXELS: 1365598/1395225 (97.876543% good or 2.123457% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0555891 0.0539849 0.00998261 45 45 689 2.123457
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 22.000000
INFO : Ingest_AT.py : DEC Axis 2: -4.704639 5.500001 22.000000
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 [ 5.57235000e-01 5.62262058e-01 1.41507031e+03 2.25113281e+02]
TIMING : Ingest END [ 0.977271 1.11013913]
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 [ 3.19230100e+00 1.64394546e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.25980000e-02 5.28187752e-02 1.41432031e+03 2.24894531e+02]
TIMING : CubeStats start [ 1.25310000e-02 1.25691891e-02 1.41432031e+03 2.24894531e+02]
TIMING : CubeStats imstat0 [ 1.12490000e-01 1.12864017e-01 1.42721094e+03 2.38183594e+02]
TIMING : CubeStats imstat1 [ 1.24341000e-01 1.24749899e-01 1.42798047e+03 2.38945312e+02]
INFO : CubeStats_AT.py : sigma varies from 0.004559 to 0.011984; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00911886 (2.62843 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.58150000e-01 7.60711908e-01 1.42798047e+03 2.39015625e+02]
INFO : CubeStats_AT.py : CubeMax: 0.053985 @ [ 12 15 382 0]
INFO : CubeStats_AT.py : CubeMin: -0.055589 @ [ 20 17 252 0]
INFO : CubeStats_AT.py : CubeRMS: 0.008187
INFO : CubeStats_AT.py : RMS Sanity check 1.219270
REGRESSION : CST: 0.008187 1.219270
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000212 0.008187 6.593686
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.777582 1.682050
TIMING : CubeStats plotting [ 2.45142 2.63046813 1455.0703125 264.09375 ]
TIMING : CubeStats done [ 1.40450000e-02 1.40979290e-02 1.45507031e+03 2.64093750e+02]
TIMING : CubeStats summary [ 1.22690000e-02 1.23379230e-02 1.45507031e+03 2.64093750e+02]
TIMING : CubeStats END [ 3.549987 3.73281598]
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 [ 6.80246300e+00 1.64394546e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.008187
TIMING : CubeSum start [ 5.25290000e-02 5.27918339e-02 1.45507031e+03 2.64093750e+02]
TIMING : CubeSum immoments [ 5.73070000e-02 1.28164053e-01 1.45507031e+03 2.64601562e+02]
TIMING : CubeSum statistics [ 2.00890000e-02 2.01621056e-02 1.45507031e+03 2.64601562e+02]
INFO : CubeSum_AT.py : Total flux: -495.650191 (sum=-16.385126)
REGRESSION : CSM: [-495.65019117994723, -16.385125520358088]
TIMING : CubeSum implot [ 1.47352000e-01 6.08455491e+00 1.52707422e+03 2.64683594e+02]
TIMING : CubeSum getdata [ 2.18440000e-02 2.19149590e-02 1.52707422e+03 2.64683594e+02]
TIMING : CubeSum done [ 2.54815000e-01 2.74285078e-01 1.52707422e+03 2.64812500e+02]
TIMING : CubeSum END [ 0.567863 6.59584284]
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 [ 7.43105100e+00 1.64394547e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.37250000e-02 3.38270664e-02 1.52707422e+03 2.64812500e+02]
TIMING : SFind2D imstat [ 4.07830000e-02 4.10130024e-02 1.52707422e+03 2.64812500e+02]
INFO : AT.py : Setting 'sigma' = 0.110119420455 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.110119 -0.43674 0.390226 35 1.12878
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.03740000e-02 9.74819660e-02 1.52707422e+03 2.64812500e+02]
REGRESSION : CONTFLUX: 0 0
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 [ 3.19643000e-01 3.42889071e-01 1.52707422e+03 2.65210938e+02]
TIMING : SFind2D END [ 0.498502 0.52922106]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.180763 12.61431789]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.18076 12.6143 ]
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 [ 8.14433800e+00 1.64394547e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[12, 15, 382],0.053985
TIMING : CubeSpectrum CubeStats-pos [ 4.83230000e-02 4.84409332e-02 1.52707422e+03 2.65210938e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[9, 12],0.390226
TIMING : CubeSpectrum Moment-pos [ 4.17850000e-02 4.19108868e-02 1.52707422e+03 2.65210938e+02]
TIMING : CubeSpectrum open [ 1.22010000e-02 1.22380257e-02 1.52707422e+03 2.65210938e+02]
TIMING : CubeSpectrum imval [ 4.40280000e-02 4.42330837e-02 1.52707422e+03 2.65867188e+02]
TIMING : CubeSpectrum imhead [ 4.17860000e-02 4.19590473e-02 1.52707422e+03 2.65867188e+02]
TIMING : CubeSpectrum imval [ 2.53459000e-01 2.73404837e-01 1.52707422e+03 2.66003906e+02]
REGRESSION : CSP: [0.053984943777322769, 0.042571719735860825]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.92545000e-01 3.12324047e-01 1.52707422e+03 2.66003906e+02]
TIMING : CubeSpectrum summary [ 1.24550000e-02 1.24859810e-02 1.52707422e+03 2.66003906e+02]
TIMING : CubeSpectrum END [ 0.758814 0.79926682]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.csp
INFO :
INFO :
INFO : Executing LineSegment_AT - '' (V1.2.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : 5.0
INFO : minchan : 4
INFO : edgechannels : 0
INFO : smooth : []
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 8.96351300e+00 1.64394547e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.44560000e-02 2.45339870e-02 1.52707422e+03 2.66003906e+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 [ 29.526555 29.60480905 1527.07421875 266.34375 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [35, 39]
WARNING : specutil.py : 1 [91, 97]
WARNING : specutil.py : 2 [165, 169]
WARNING : specutil.py : 3 [379, 383]
WARNING : specutil.py : 4 [589, 593]
WARNING : specutil.py : 5 [643, 646]
WARNING : specutil.py : 0 [4, 7]
WARNING : specutil.py : 1 [182, 185]
WARNING : specutil.py : 2 [197, 201]
WARNING : specutil.py : 3 [283, 286]
WARNING : specutil.py : 4 [402, 406]
WARNING : specutil.py : 5 [437, 440]
WARNING : specutil.py : 6 [475, 480]
WARNING : specutil.py : 7 [538, 541]
WARNING : specutil.py : 8 [597, 604]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [671, 674]
TIMING : LineSegment segment finder [ 3.712302 3.72207308 1527.07421875 266.34765625]
INFO : LineSegment_AT.py : Segment Coverage 75 / 689 = 0.108853
REGRESSION : LINESEG: [[115.27762451035585, 115.27879638543523], [115.02918699352702, 115.03074949363285], [115.05106199500881, 115.05340574516757], [115.07996824696687, 115.08153074707272], [115.1635620026294, 115.16512450273524], [115.24559325818609, 115.24715575829192], [115.26668700961496, 115.26785888469433], [115.01707761770675, 115.01824949278614], [115.0866088724167, 115.08778074749608], [115.09246824781361, 115.09403074791945], [115.12606200008921, 115.12723387516859], [115.172546378238, 115.17410887834384], [115.1862182541641, 115.18739012924348], [115.2010620051696, 115.20301513030191], [115.22567138183661, 115.226843256916], [115.24871825839779, 115.25145263358299]]
TIMING : LineSegment done [ 2.085193 2.19406796 1557.33984375 296.44140625]
TIMING : LineSegment END [ 35.360875 35.55788922]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 42.576893 49.29799008]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 42.5769 49.298 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 42.678572 49.45317507]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 42.6786 49.4532 ]
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 [ 4.46687970e+01 1.64394550e+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 [ 15.994662 16.03669 1557.33984375 296.62109375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 13.759818 13.79312301 1557.33984375 296.62109375]
TIMING : LineID segment finder [ 1.39010000e-02 1.39400959e-02 1.55733984e+03 2.96621094e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [35, 39]
WARNING : specutil.py : 1 [91, 97]
WARNING : specutil.py : 2 [165, 169]
WARNING : specutil.py : 3 [379, 383]
WARNING : specutil.py : 4 [589, 593]
WARNING : specutil.py : 5 [643, 646]
WARNING : specutil.py : 0 [4, 7]
WARNING : specutil.py : 1 [182, 185]
WARNING : specutil.py : 2 [197, 201]
WARNING : specutil.py : 3 [283, 286]
WARNING : specutil.py : 4 [402, 406]
WARNING : specutil.py : 5 [437, 440]
WARNING : specutil.py : 6 [475, 480]
WARNING : specutil.py : 7 [538, 541]
WARNING : specutil.py : 8 [597, 604]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [671, 674]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 109.8 km/s
INFO : LineID_AT.py : Found line: CH3CH2CNv=0 61(9,52)-60(10,51) @ 115.12896GHz, channels 4 - 7
REGRESSION : LINEID: CH3CH2CNv=0 115.12896 4 7
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 35 - 97
REGRESSION : LINEID: NS 115.15394 35 97
INFO : LineID_AT.py : Found line: NS J=5/2-3/2,&Omega=1/2,F=5/2-3/2,l=e @ 115.15681GHz, channels 35 - 97
REGRESSION : LINEID: NS 115.15681 35 97
INFO : LineID_AT.py : Found line: NS J=5/2-3/2,&Omega=1/2,F=3/2-1/2,l=e @ 115.16298GHz, channels 35 - 97
REGRESSION : LINEID: NS 115.16298 35 97
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 165 - 646
REGRESSION : LINEID: CO 115.27120 165 646
INFO : LineID_AT.py : Found line: c-H13CCCH 5(3,3)-5(1,4) @ 115.38865GHz, channels 671 - 674
REGRESSION : LINEID: c-H13CCCH 115.38865 671 674
INFO : LineID_AT.py : Line Coverage 553 / 689 = 0.802612
TIMING : LineID done [ 17.183557 17.98141098 1666.2578125 406.89453125]
TIMING : LineID END [ 46.967163 47.84042406]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 89.971741 97.70273709]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 89.9717 97.7027 ]
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 [ 9.19145010e+01 1.64394555e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.03500000e-02 6.05859756e-02 1.62746094e+03 3.68296875e+02]
TIMING : LineCube pad [ 1.51760000e-02 1.52218342e-02 1.62746094e+03 3.68296875e+02]
WARNING : LineCube_AT.py : pad=5 too large, start=-1 resetting to 0
TIMING : LineCube trans-x.CH3CH2CN_115.12896 [ 9.54010000e-02 2.47630119e-01 1.62746094e+03 3.68359375e+02]
TIMING : LineCube trans-x.NS_115.15394 [ 6.91210000e-02 1.19338989e-01 1.62746094e+03 3.68359375e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.44360000e-02 1.73356056e-01 1.62746094e+03 3.68359375e+02]
TIMING : LineCube trans-x.H13CCCH_115.38865 [ 6.84010000e-02 2.29405880e-01 1.62746094e+03 3.68359375e+02]
REGRESSION : LC: [0, 12, 30, 102, 160, 651, 666, 679]
TIMING : LineCube done [ 2.49610000e-02 2.50411034e-02 1.62746094e+03 3.68359375e+02]
TIMING : LineCube END [ 0.420239 0.88300896]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CH3CH2CN_115.12896/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.NS_115.15394/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.CO_115.27120/lc.im
INFO : AT.py : BDP_OUT[3] = LineCube_BDP x.H13CCCH_115.38865/lc.im
TIMING : ADMITrun END [ 90.64789 98.91895795]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 90.6479 98.919 ]
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 [ 9.28324480e+01 1.64394555e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.93430000e-02 4.94689941e-02 1.62746094e+03 3.68359375e+02]
TIMING : Moment immoments-0 [ 6.15930000e-02 1.50492907e-01 1.62746094e+03 3.68359375e+02]
TIMING : Moment mom0clip [ 6.83090000e-02 1.35162115e-01 1.62746094e+03 3.68359375e+02]
TIMING : Moment implot [ 9.94400000e-02 3.44090939e-01 1.63151953e+03 3.72523438e+02]
TIMING : Moment getdata [ 2.11710000e-02 2.12490559e-02 1.63151953e+03 3.72574219e+02]
TIMING : Moment ren+mask_0 [ 4.54736000e-01 4.60103989e-01 1.63539844e+03 3.76453125e+02]
TIMING : Moment done [ 1.54540000e-02 1.54948235e-02 1.63539844e+03 3.76453125e+02]
TIMING : Moment END [ 0.782467 1.18854094]
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 [ 9.36758860e+01 1.64394555e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.87930000e-02 4.89180088e-02 1.63539844e+03 3.76453125e+02]
TIMING : Moment immoments-all [ 6.47040000e-02 1.52856112e-01 1.63539844e+03 3.76453125e+02]
TIMING : Moment mom0clip [ 6.77230000e-02 1.33271933e-01 1.63539844e+03 3.76453125e+02]
TIMING : Moment implot [ 9.49570000e-02 3.37687016e-01 1.63539844e+03 3.76453125e+02]
TIMING : Moment getdata [ 2.10800000e-02 2.11710930e-02 1.63539844e+03 3.76453125e+02]
TIMING : Moment ren+mask_0 [ 3.08257000e-01 3.12986851e-01 1.63539844e+03 3.76453125e+02]
TIMING : Moment makemask [ 1.49961000e-01 4.18449163e-01 1.63539844e+03 3.77199219e+02]
TIMING : Moment implot [ 7.75620000e-02 3.04857016e-01 1.63539844e+03 3.77289062e+02]
TIMING : Moment getdata [ 2.09320000e-02 2.10030079e-02 1.63539844e+03 3.77289062e+02]
TIMING : Moment ren+mask_1 [ 2.98016000e-01 3.03682804e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.49638000e-01 6.42045975e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.73930000e-02 3.06777000e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.08920000e-02 2.09701061e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_2 [ 2.99611000e-01 3.04301023e-01 1.63514844e+03 3.77039062e+02]
REGRESSION : MOM0FLUX: x.CH3CH2CN_115.12896 26.9246 4.9274 0.0330578 289.815 289.815 2.09713
TIMING : Moment mom0flux [ 5.12320000e-02 5.13720512e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment flux-spectrum [ 2.89125000e-01 2.94323921e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment done [ 1.51890000e-02 1.52349472e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment END [ 2.067396 3.70228815]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH3CH2CN_115.12896/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH3CH2CN_115.12896/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH3CH2CN_115.12896/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 [ 9.58518670e+01 1.64394556e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86930000e-02 4.88080978e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment immoments-all [ 6.53950000e-02 3.26160908e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment mom0clip [ 6.70440000e-02 1.29902124e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 9.39180000e-02 3.35659027e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.09720000e-02 2.10437775e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_0 [ 3.01084000e-01 3.05432081e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.49504000e-01 4.46521997e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.72090000e-02 3.12259912e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.07360000e-02 2.08082199e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_1 [ 2.90407000e-01 2.94818878e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.48887000e-01 4.35878038e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.72980000e-02 3.11589003e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.05910000e-02 2.06608772e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_2 [ 2.93142000e-01 2.97799110e-01 1.63514844e+03 3.77039062e+02]
REGRESSION : MOM0FLUX: x.NS_115.15394 17.6178 20.175 0.0330578 285.888 285.888 4.63165
TIMING : Moment mom0flux [ 5.09640000e-02 5.11519909e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment flux-spectrum [ 3.00573000e-01 3.16140890e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment done [ 1.50060000e-02 1.50480270e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment END [ 2.053839 3.70214915]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.NS_115.15394/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.NS_115.15394/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.NS_115.15394/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 [ 9.80147330e+01 1.64394556e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85790000e-02 4.98580933e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment immoments-all [ 7.41370000e-02 2.61518955e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment mom0clip [ 6.99980000e-02 1.44822121e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 9.50180000e-02 3.40300798e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.07140000e-02 2.07831860e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_0 [ 2.94817000e-01 2.99533844e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.49682000e-01 6.67541981e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.87720000e-02 3.08016062e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.07620000e-02 2.08239555e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_1 [ 2.95001000e-01 2.99855947e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.49687000e-01 5.85875034e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.81760000e-02 3.07716131e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.06900000e-02 2.07600594e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_2 [ 2.90225000e-01 2.94290781e-01 1.63514844e+03 3.77039062e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 -262.524 0.806949 0.0330578 270.564 270.564 0
TIMING : Moment mom0flux [ 5.11210000e-02 5.12599945e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment flux-spectrum [ 3.68460000e-01 3.72482061e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment done [ 1.49860000e-02 1.50239468e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment END [ 2.133101 4.07278013]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/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 [ 1.00256560e+02 1.64394557e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86030000e-02 4.87120152e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment immoments-all [ 6.40970000e-02 3.87523174e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment mom0clip [ 6.68650000e-02 1.38182878e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 9.28390000e-02 3.30472946e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.07600000e-02 2.08270550e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_0 [ 2.92775000e-01 2.97951937e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.48585000e-01 5.98880053e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.77510000e-02 3.08120012e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.04800000e-02 2.05459595e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_1 [ 2.81142000e-01 2.85182953e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment makemask [ 1.52112000e-01 6.82867050e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment implot [ 7.92270000e-02 3.04703951e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment getdata [ 2.04500000e-02 2.05221176e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment ren+mask_2 [ 3.13390000e-01 3.17615986e-01 1.63514844e+03 3.77039062e+02]
REGRESSION : MOM0FLUX: x.H13CCCH_115.38865 -4.82025 3.54693 0.0330578 288.432 288.432 1.48409
TIMING : Moment mom0flux [ 5.13330000e-02 5.15019894e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment flux-spectrum [ 2.92222000e-01 2.96890020e-01 1.63514844e+03 3.77039062e+02]
TIMING : Moment done [ 1.59460000e-02 1.59878731e-02 1.63514844e+03 3.77039062e+02]
TIMING : Moment END [ 2.050931 4.13889217]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.H13CCCH_115.38865/lc-@3.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.H13CCCH_115.38865/lc-@3.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.H13CCCH_115.38865/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 [ 1.02415621e+02 1.64394557e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[33, 27],0.209501
TIMING : CubeSpectrum Moment-pos [ 5.43210000e-02 5.44779301e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum open [ 1.23050000e-02 1.23379230e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imval [ 3.59310000e-02 3.61042023e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imhead [ 4.21530000e-02 4.23119068e-02 1.63514844e+03 3.77039062e+02]
REGRESSION : CSP: [0.044361211359500885]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.91609000e-01 2.96540022e-01 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum summary [ 1.26500000e-02 1.26869678e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum END [ 0.461301 0.46682501]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH3CH2CN_115.12896/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 [ 1.02937659e+02 1.64394557e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[30, 35],0.668907
TIMING : CubeSpectrum Moment-pos [ 5.42580000e-02 5.44040203e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum open [ 1.23020000e-02 1.23348236e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imval [ 3.61610000e-02 3.63261700e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imhead [ 4.21300000e-02 4.22868729e-02 1.63514844e+03 3.77039062e+02]
REGRESSION : CSP: [0.03566935658454895]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.91112000e-01 2.95281172e-01 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum summary [ 1.24620000e-02 1.26719475e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum END [ 0.460707 0.46562099]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.NS_115.15394/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 [ 1.03459055e+02 1.64394557e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 36],0.806949
TIMING : CubeSpectrum Moment-pos [ 5.42190000e-02 5.43761253e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum open [ 1.23460000e-02 1.23779774e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imval [ 3.94460000e-02 3.96330357e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imhead [ 4.22600000e-02 4.24189568e-02 1.63514844e+03 3.77039062e+02]
REGRESSION : CSP: [0.035971075296401978]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.88941000e-01 2.93535948e-01 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum summary [ 1.24720000e-02 1.25110149e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum END [ 0.461973 0.46717811]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/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 [ 1.03981672e+02 1.64394557e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[33, 30],0.284193
TIMING : CubeSpectrum Moment-pos [ 5.40800000e-02 5.42287827e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum open [ 1.23470000e-02 1.23791695e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imval [ 3.56040000e-02 3.57739925e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum imhead [ 4.19140000e-02 4.20739651e-02 1.63514844e+03 3.77039062e+02]
REGRESSION : CSP: [0.042588561773300171]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.01237000e-01 3.06690931e-01 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum summary [ 1.25520000e-02 1.25861168e-02 1.63514844e+03 3.77039062e+02]
TIMING : CubeSpectrum END [ 0.469993 0.47602797]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.H13CCCH_115.38865/lc-@4.csp