INFO : AT.py : Setting {'basename': 'M100_7m_CO.image', 'file': 'M100_7m_CO.image.pbcor.fits'} for Ingest_AT
INFO : AT.py : Setting 'pb' = M100_7m_CO.pb.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 - '' (V1.1.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : box : []
INFO : file : M100_7m_CO.image.pbcor.fits
INFO : smooth : []
INFO : basename : M100_7m_CO.image
INFO : mask : True
INFO : pb : M100_7m_CO.pb.fits
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -999999.99
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 5.97000000e+00 1.55009374e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=M100_7m_CO.image
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.40000000e-01 1.40390158e-01 1.16055078e+03 2.04964844e+02]
TIMING : Ingest impbcor-1f [ 2.20000000e-01 9.58248854e-01 1.16056641e+03 2.07585938e+02]
TIMING : Ingest immath [ 1.80000000e-01 3.91153097e-01 1.16056641e+03 2.08738281e+02]
TIMING : Ingest moments [ 1.10000000e-01 4.63556051e-01 1.16453125e+03 2.13332031e+02]
TIMING : Ingest impbcor-3 [ 2.00000000e-02 3.09870243e-02 1.16453125e+03 2.13332031e+02]
INFO : Ingest_AT.py : SHAPE: [200 200 70 1]
TIMING : Ingest summary-0 [ 1.00000000e-01 9.96677876e-02 1.16453125e+03 2.13378906e+02]
WARNING : Ingest_AT.py : no extra mask created because input image already had one
TIMING : Ingest summary-1 [ 6.00000000e-02 6.69970512e-02 1.16453125e+03 2.13378906e+02]
TIMING : Ingest statistics [ 1.80000000e-01 8.91931057e-02 1.69194531e+03 2.23218750e+02]
WARNING : Ingest_AT.py : MAX-BEAMSPREAD 0.078562
INFO : Ingest_AT.py : Applying a commonbeam from the median beam accross the band
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 13.145739555358887, 'unit': 'arcsec'}, 'pa': {'value': 88.9334945678711, 'unit': 'deg'}, 'minor': {'value': 10.182820320129395, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [200 200 70 1] 1273639 -0.226275 2.617277
INFO : Ingest_AT.py : S/N (all data): 33.677226
INFO : Ingest_AT.py : GOOD PIXELS: 1273639/2800000 (45.487107% good or 54.512893% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.226275 2.61728 0.0777165 200 200 70 54.512893
INFO : Ingest_AT.py : TELESCOPE: ALMA
INFO : Ingest_AT.py : OBJECT: M100
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : VLSR = -999999.990000 (from source catalog)
INFO : Ingest_AT.py : RA Axis 1: 185.728750 -2.000000 100.000000
INFO : Ingest_AT.py : DEC Axis 2: 15.820833 2.000000 100.000000
INFO : Ingest_AT.py : Freq Axis 3: 114.733 -0.00192252 0
INFO : Ingest_AT.py : Cube Axis 3: type=Frequency velocity increment=5.000000 km/s @ fc=114.666570 fw=-0.134576 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc = 1572.500000 VLSRw = 350.000000 VLSRf = 0.000000 VLSR = 1572.500000
TIMING : Ingest done [ 8.80000000e-01 8.46849918e-01 1.67859375e+03 2.10277344e+02]
TIMING : Ingest END [ 1.9 3.10702801]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP M100_7m_CO.im
INFO : AT.py : BDP_OUT[1] = Image_BDP M100_7m_CO.pb
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : True
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 8.01000000e+00 1.55009375e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 1.00000000e-01 1.28494024e-01 1.67859375e+03 2.10527344e+02]
TIMING : CubeStats start [ 1.00000000e-02 2.28948593e-02 1.67859375e+03 2.10527344e+02]
TIMING : CubeStats imstat0 [ 2.70000000e-01 1.56607151e-01 1.69995312e+03 2.32878906e+02]
TIMING : CubeStats imstat1 [ 2.40000000e-01 1.02138042e-01 1.69995312e+03 2.32980469e+02]
INFO : CubeStats_AT.py : sigma varies from 0.025008 to 0.036590; 70/70 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 3.50000000e-01 3.60005856e-01 1.69995312e+03 2.33015625e+02]
INFO : CubeStats_AT.py : CubeMax: 2.617277 @ [97 98 48 0]
INFO : CubeStats_AT.py : CubeMin: -0.226275 @ [ 93 114 30 0]
INFO : CubeStats_AT.py : CubeRMS: 0.030679
INFO : CubeStats_AT.py : RMS Sanity check 2.533177
WARNING : CubeStats_AT.py : RMS sanity check = 2.533177. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.030679 2.533177
INFO : CubeStats_AT.py : mean,rms,S/N=0.007453 0.030679 85.310389
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.795591 2.795591
TIMING : CubeStats plotting [ 3.7 5.57815814 1707.71875 236.9453125 ]
TIMING : CubeStats done [ 2.00000000e-02 1.82428360e-02 1.70771875e+03 2.36945312e+02]
TIMING : CubeStats summary [ 2.00000000e-02 1.73311234e-02 1.70771875e+03 2.36945312e+02]
TIMING : CubeStats END [ 4.73 6.40103388]
INFO : AT.py : BDP_OUT[0] = CubeStats_BDP M100_7m_CO.cst
INFO :
INFO :
INFO : Executing CubeSum_AT - '' (V1.1.0)
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 [ 1.28400000e+01 1.55009375e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.030679
TIMING : CubeSum start [ 8.00000000e-02 8.87720585e-02 1.70771875e+03 2.36945312e+02]
TIMING : CubeSum immoments [ 1.60000000e-01 4.27373886e-01 1.70771875e+03 2.37121094e+02]
TIMING : CubeSum statistics [ 5.00000000e-02 7.21809864e-02 1.70771875e+03 2.37121094e+02]
INFO : CubeSum_AT.py : Total flux: 1313.543325 (sum=49808.324768)
REGRESSION : CSM: [1313.5433250016847, 49808.324768140912]
TIMING : CubeSum implot [ 3.10000000e-01 6.81065607e+00 1.78172656e+03 2.37246094e+02]
TIMING : CubeSum getdata [ 2.00000000e-02 3.74860764e-02 1.78172656e+03 2.37250000e+02]
TIMING : CubeSum done [ 3.80000000e-01 7.34550953e-01 1.78172656e+03 2.37281250e+02]
TIMING : CubeSum END [ 1.02 8.21031904]
INFO : AT.py : BDP_OUT[0] = Moment_BDP M100_7m_CO.csm
INFO :
INFO :
INFO : Executing SFind2D_AT - 'csm' (V1.1.1)
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 [ 1.39500000e+01 1.55009376e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 6.00000000e-02 1.17585897e-01 1.78172656e+03 2.37281250e+02]
TIMING : SFind2D imstat [ 2.20000000e-01 1.31029129e-01 1.78172656e+03 2.37324219e+02]
INFO : AT.py : Setting 'sigma' = 4.48723470516 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 4.48723 -4.14799 169.319 35 0.106007
WARNING : SFind2D_AT.py : Temporarely patching your Jy/beam.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.70000000e-01 1.76054001e-01 1.78172656e+03 2.37718750e+02]
INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR
INFO : SFind2D_AT.py : Jy/beam.km/s Jy arcsec arcsec deg
INFO : SFind2D_AT.py : 12:22:54.992 +15.49.18.80 99.33 101.90 161 659 27.677 18.919 169.1 35.9
INFO : SFind2D_AT.py : 12:22:51.827 +15.49.32.64 122.17 108.82 28.6 106 31.066 14.438 52.0 6.4
INFO : SFind2D_AT.py : 12:22:54.697 +15.48.18.97 101.46 71.99 25.6 52.5 22.027 12.114 110.8 5.7
INFO : SFind2D_AT.py : 12:22:56.290 +15.48.11.66 89.97 68.33 24.8 53.2 24.747 11.162 103.0 5.5
INFO : SFind2D_AT.py : 12:22:57.733 +15.48.09.24 79.55 67.13 20.2 42.9 23.575 11.846 83.7 4.5
INFO : SFind2D_AT.py : 12:22:58.811 +15.49.00.36 71.78 92.68 19.6 70.3 23.692 20.196 56.7 4.4
INFO : SFind2D_AT.py : 12:22:51.432 +15.49.07.68 125.02 96.34 18.4 131 56.027 16.455 169.2 4.1
INFO : SFind2D_AT.py : 12:22:51.496 +15.49.04.39 124.56 94.70 18.4 238 90.750 19.942 154.0 4.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 5.20000000e-01 6.16441965e-01 1.78172656e+03 2.37753906e+02]
REGRESSION : CONTFLUX: 8 1352.72
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 13.1 arcsec , Minor axis: 10.2 arcsec , PA: 88.9 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 4.30000000e-01 7.67092943e-01 1.78172656e+03 2.37757812e+02]
TIMING : SFind2D END [ 1.42 1.82761002]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP M100_7m_CO-csm.sl
TIMING : ADMITrun END [ 9.93 21.99936318]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 9.93 21.9994 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.56400000e+01 1.55009377e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[97, 98, 48],2.617277
TIMING : CubeSpectrum CubeStats-pos [ 7.00000000e-02 6.53860569e-02 1.78172656e+03 2.37773438e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[99, 102],169.318649
TIMING : CubeSpectrum Moment-pos [ 6.00000000e-02 6.59248829e-02 1.78172656e+03 2.37773438e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('12h22m54.992s', '+15d49m18.80s'),161.229843
TIMING : CubeSpectrum SourceList-pos [ 5.00000000e-02 5.02331257e-02 1.78172656e+03 2.37773438e+02]
TIMING : CubeSpectrum open [ 3.00000000e-02 1.70698166e-02 1.78172656e+03 2.37773438e+02]
TIMING : CubeSpectrum imval [ 5.00000000e-02 7.59980679e-02 1.78172656e+03 2.38148438e+02]
TIMING : CubeSpectrum imhead [ 7.00000000e-02 6.21109009e-02 1.78172656e+03 2.38152344e+02]
TIMING : CubeSpectrum imval [ 3.60000000e-01 4.83784199e-01 1.78172656e+03 2.38156250e+02]
TIMING : CubeSpectrum imval [ 3.80000000e-01 5.16844034e-01 1.78172656e+03 2.38156250e+02]
REGRESSION : CSP: [2.6172773838043213, 1.4337552785873413, 1.4337552785873413]
TIMING : CubeSpectrum done [ 3.80000000e-01 5.44922829e-01 1.78172656e+03 2.38156250e+02]
TIMING : CubeSpectrum summary [ 1.00000000e-02 1.75120831e-02 1.78172656e+03 2.38156250e+02]
TIMING : CubeSpectrum END [ 1.48 1.91686106]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP M100_7m_CO.csp
INFO :
INFO :
INFO : Executing LineSegment_AT - '' (V1.0.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : 5.0
INFO : minchan : 4
INFO : smooth : []
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 1.72100000e+01 1.55009377e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 3.00000000e-02 3.34630013e-02 1.78172656e+03 2.38156250e+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 [ 19.78 20.30464196 1781.7265625 238.265625 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 5.12 5.13870597 1781.7265625 238.265625 ]
REGRESSION : LINESEG: [[114.62331366992704, 114.70790440501494], [114.62908122004667, 114.66368652076444], [114.63292625345976, 114.69829182148223], [114.63292625345976, 114.69829182148223]]
TIMING : LineSegment done [ 3.44 5.04412603 1810.08984375 266.53515625]
TIMING : LineSegment END [ 28.39 30.53864503]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP M100_7m_CO.lseg
TIMING : ADMITrun END [ 40.16 56.09996009]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 40.16 56.1 ]
INFO : AT.py : Setting {'width': 5} for PVSlice_AT
INFO : AT.py : Setting 'clip' = 2.0 for PVSlice_AT
INFO : AT.py : Setting 'pvsmooth' = [10, 10] for PVSlice_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing PVSlice_AT - '' (V1.1.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : slice : []
INFO : clip : 2.0
INFO : width : 5
INFO : zoom : 1
INFO : slit : []
INFO : pvsmooth : [10, 10]
INFO : gamma : 1.0
INFO :
TIMING : PVSlice ADMIT [ 4.59800000e+01 1.55009380e+09]
TIMING : PVSlice BEGIN [ 0. 0.]
TIMING : PVSlice slice [ 3.70000000e-01 3.82516861e-01 1.81008984e+03 2.66628906e+02]
TIMING : PVSlice impv [ 8.10000000e-01 1.13791013e+00 1.77845312e+03 2.37828125e+02]
INFO : PVSlice_AT.py : imsmooth PV slice: 10pix 10pix
TIMING : PVSlice imsmooth [ 3.40000000e-01 9.55843925e-01 2.16450391e+03 2.38117188e+02]
INFO : PVSlice_AT.py : PV stats: mean/std/max 0.002031 0.010364 0.031742
REGRESSION : PVSLICE: 0.002031 0.010364 0.031742
INFO : PVSlice_AT.py : MAP1 segm [[6.0, 188.90852867949297, 7.870998844069561, 193.0]] [6.0, 7.870998844069561, 188.90852867949297, 193.0]
TIMING : PVSlice plot [ 4.10000000e-01 5.35239935e-01 2.18098438e+03 2.54535156e+02]
TIMING : PVSlice done [ 1.90000000e-01 1.37429214e+00 2.20330078e+03 2.76851562e+02]
TIMING : PVSlice END [ 2.15 4.41614008]
INFO : AT.py : BDP_OUT[0] = PVSlice_BDP M100_7m_CO.pv
INFO :
INFO :
INFO : Executing PVCorr_AT - '' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : range : []
INFO : nchan : 0
INFO : numsigma : 3.0
INFO :
TIMING : PVCorr ADMIT [ 4.82200000e+01 1.55009380e+09]
TIMING : PVCorr BEGIN [ 0. 0.]
TIMING : PVCorr getdata [ 4.00000000e-02 6.55930042e-02 2.20330078e+03 2.76851562e+02]
INFO : PVCorr_AT.py : MAXPOS-VEL [129 48 0] 2.35365
TIMING : PVCorr imstat [ 1.60000000e-01 1.49603128e-01 2.20330078e+03 2.75535156e+02]
INFO : PVCorr_AT.py : PVCorr mode1: v0,1= 10 10 dmin= 0.0920384 normalize=True
INFO : PVCorr_AT.py : PVCorr mode1: 887/13361 min/max -0.171899 1 sums: 887 518.743 887 515.27
INFO : PVCorr_AT.py : PVCorr min/max: -0.000867625 1
INFO : PVCorr_AT.py : PVCorr stats 122 0.20808 0.294713 71 0.0139192 0.0252752
INFO : PVCorr_AT.py : RMS est: 0.0252752
TIMING : PVCorr mode [ 2.00000000e-01 1.97141886e-01 2.20330078e+03 2.75539062e+02]
TIMING : PVCorr table [ 2.00000000e-02 1.81860924e-02 2.20330078e+03 2.75539062e+02]
INFO : PVCorr_AT.py : Average: 51 51 51 70
INFO : PVCorr_AT.py : Average intensity weighted channel: 35.789 114.664 0.1 1
REGRESSION : PVC: 0.005966 1.000000
TIMING : PVCorr done [ 3.90000000e-01 5.32604933e-01 2.20330078e+03 2.75539062e+02]
TIMING : PVCorr END [ 0.82 0.98125601]
INFO : AT.py : BDP_OUT[0] = PVCorr_BDP M100_7m_CO.pvc
TIMING : ADMITrun END [ 43.6 63.25113702]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 43.6 63.2511 ]
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 - '' (V1.0.5)
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 : 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 [ 4.93600000e+01 1.55009381e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 1572.50 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 1572.5
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 11.85 12.09051013 2203.30078125 275.5390625 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 7.91 8.13793898 2203.30078125 275.5390625 ]
TIMING : LineID segment finder [ 2.00000000e-02 2.16228962e-02 2.20330078e+03 2.75539062e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineID_AT.py : Detecting segments in CubeStats based data
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Too many peaks in CubeStats for pattern finding to be useful, turning it off.
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 13 - 57
REGRESSION : LINEID: CO 115.27120 13 57
TIMING : LineID done [ 12.83 13.85169911 2233.15625 305.48828125]
TIMING : LineID END [ 32.64 34.14658713]
INFO : AT.py : BDP_OUT[0] = LineList_BDP M100_7m_CO.ll
TIMING : ADMITrun END [ 76.59 98.88779902]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 76.59 98.8878 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing LineCube_AT - '' (V1.0.3)
INFO :
INFO :
INFO : Run using the following settings:
INFO : equalize : False
INFO : pad : 5
INFO : fpad : -1.0
INFO :
TIMING : LineCube ADMIT [ 8.23000000e+01 1.55009384e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.10000000e-01 1.22260094e-01 2.20507812e+03 2.77414062e+02]
TIMING : LineCube pad [ 2.00000000e-02 1.89588070e-02 2.20507812e+03 2.77414062e+02]
TIMING : LineCube trans-M100_7m_CO.CO_115.27120 [ 1.60000000e-01 3.24248075e-01 2.20507812e+03 2.77492188e+02]
REGRESSION : LC: [8, 62]
TIMING : LineCube done [ 3.00000000e-02 3.46641541e-02 2.20507812e+03 2.77492188e+02]
TIMING : LineCube END [ 0.34 0.51837611]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP M100_7m_CO.CO_115.27120/lc.im
TIMING : ADMITrun END [ 77.22 100.64585304]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 77.22 100.646 ]
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 - '@1' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [3.0]
INFO : moments : [0]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 8.30700000e+01 1.55009384e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 9.00000000e-02 8.24117661e-02 2.20507812e+03 2.77492188e+02]
TIMING : Moment immoments-0 [ 1.60000000e-01 7.34384060e-01 2.20507812e+03 2.77492188e+02]
TIMING : Moment mom0clip [ 1.90000000e-01 3.26013088e-01 2.20507812e+03 2.76558594e+02]
TIMING : Moment implot [ 2.90000000e-01 1.11119604e+00 2.22603906e+03 2.97519531e+02]
TIMING : Moment getdata [ 3.00000000e-02 3.95979881e-02 2.22603906e+03 2.97519531e+02]
TIMING : Moment ren+mask_0 [ 4.30000000e-01 5.24940968e-01 2.22603906e+03 2.97519531e+02]
TIMING : Moment done [ 4.00000000e-02 3.70838642e-02 2.22603906e+03 2.97519531e+02]
TIMING : Moment END [ 1.24 2.87445784]
INFO : AT.py : BDP_OUT[0] = Moment_BDP M100_7m_CO-@1.mom_0
INFO :
INFO :
INFO : Executing Moment_AT - '' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [2.0]
INFO : moments : [0, 1, 2]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 8.44000000e+01 1.55009385e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 7.00000000e-02 6.93540573e-02 2.22603906e+03 2.97519531e+02]
TIMING : Moment immoments-all [ 2.10000000e-01 1.12386203e+00 2.22603906e+03 2.97519531e+02]
TIMING : Moment mom0clip [ 1.80000000e-01 3.67849827e-01 2.22603906e+03 2.97519531e+02]
TIMING : Moment implot [ 2.80000000e-01 1.23980117e+00 2.22603906e+03 2.97519531e+02]
TIMING : Moment getdata [ 3.00000000e-02 6.71169758e-02 2.22603906e+03 2.97519531e+02]
TIMING : Moment ren+mask_0 [ 4.00000000e-01 5.19577980e-01 2.22603906e+03 2.97519531e+02]
TIMING : Moment makemask [ 4.70000000e-01 2.13598204e+00 2.22603906e+03 2.97804688e+02]
TIMING : Moment implot [ 1.70000000e-01 1.01672101e+00 2.22603906e+03 2.97804688e+02]
TIMING : Moment getdata [ 3.00000000e-02 6.39619827e-02 2.22603906e+03 2.97804688e+02]
TIMING : Moment ren+mask_1 [ 3.90000000e-01 4.82575893e-01 2.22603906e+03 2.97800781e+02]
TIMING : Moment makemask [ 4.60000000e-01 1.83128810e+00 2.22603906e+03 2.97800781e+02]
TIMING : Moment implot [ 1.70000000e-01 8.74863863e-01 2.22603906e+03 2.97800781e+02]
TIMING : Moment getdata [ 5.00000000e-02 4.12299633e-02 2.22603906e+03 2.97800781e+02]
TIMING : Moment ren+mask_2 [ 3.70000000e-01 6.95003033e-01 2.22603906e+03 2.97800781e+02]
REGRESSION : MOM0FLUX: M100_7m_CO.CO_115.27120 49194.4 23808.3 37.9191 1574.49 1574.49 47.6999
TIMING : Moment mom0flux [ 8.00000000e-02 8.26430321e-02 2.22603906e+03 2.97800781e+02]
TIMING : Moment flux-spectrum [ 5.30000000e-01 4.79583025e-01 2.22603906e+03 2.97824219e+02]
TIMING : Moment done [ 2.00000000e-02 2.65419483e-02 2.22603906e+03 2.97824219e+02]
TIMING : Moment END [ 3.94 11.13506389]
INFO : AT.py : BDP_OUT[0] = Moment_BDP M100_7m_CO.CO_115.27120/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP M100_7m_CO.CO_115.27120/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP M100_7m_CO.CO_115.27120/lc.mom_2
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@1' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 8.84800000e+01 1.55009386e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[99, 103],171.369949
TIMING : CubeSpectrum Moment-pos [ 7.00000000e-02 8.27879906e-02 2.22603906e+03 2.97824219e+02]
TIMING : CubeSpectrum open [ 2.00000000e-02 1.67999268e-02 2.22603906e+03 2.97824219e+02]
TIMING : CubeSpectrum imval [ 7.00000000e-02 7.82780647e-02 2.22603906e+03 2.97824219e+02]
TIMING : CubeSpectrum imhead [ 6.00000000e-02 6.58409595e-02 2.22603906e+03 2.97824219e+02]
REGRESSION : CSP: [1.2955526113510132]
TIMING : CubeSpectrum done [ 3.50000000e-01 3.97944927e-01 2.22603906e+03 2.97824219e+02]
TIMING : CubeSpectrum summary [ 2.00000000e-02 1.75700188e-02 2.22603906e+03 2.97824219e+02]
TIMING : CubeSpectrum END [ 0.6 0.67591596]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP M100_7m_CO.CO_115.27120/lc-@1.csp