INFO : AT.py : Setting {'basename': 'x', 'file': 'M51_91112.fits'} for Ingest_AT
INFO : AT.py : Setting 'vlsr' = 463.0 for Ingest_AT
INFO : AT.py : Setting 'box' = [30, 30, 110, 130] 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 - '' (V1.2.6)
INFO :
INFO :
INFO : Run using the following settings:
INFO : box : [30, 30, 110, 130]
INFO : file : M51_91112.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : 463.0
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 1.40307300e+00 1.60824615e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 8.08149000e-01 1.93116188e-01 1.13112891e+03 2.15964844e+02]
TIMING : Ingest importfits [ 1.83884000e-01 1.93122864e-01 1.13112891e+03 2.16851562e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 9.25680000e-02 1.05999947e-01 1.13208594e+03 2.18234375e+02]
TIMING : Ingest summary-0 [ 1.25400000e-02 1.25401020e-02 1.13208594e+03 2.18234375e+02]
WARNING : Ingest_AT.py : no extra mask created because input image already had one
INFO : Ingest_AT.py : box=[30, 30, 110, 130] edge=[] processing with SHAPE: [147 147 590 1]
INFO : Ingest_AT.py : SUBIMAGE
TIMING : Ingest subimage-1 [ 1.29543000e-01 1.41432047e-01 1.13373047e+03 2.20378906e+02]
TIMING : Ingest summary-1 [ 1.25800000e-02 1.25830173e-02 1.13373047e+03 2.20378906e+02]
TIMING : Ingest statistics [ 1.03532000e-01 3.41169834e-02 1.13373047e+03 2.20441406e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 11.000001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 11.000001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 81 101 590 1] 4826790 -0.845950 1.686857
INFO : Ingest_AT.py : S/N (all data): 10.174999
INFO : Ingest_AT.py : GOOD PIXELS: 4826790/4826790 (100.000000% good or 0.000000% bad)
REGRESSION : CUBE: -0.84595 1.68686 0.165785 81 101 590 0.000000
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: NGC5194
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/vlsr.tab, found 229 entries
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/z.tab, found 11979 entries
INFO : Ingest_AT.py : VLSR = 463.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz: 1 values: 0.000000 +/- 0.000000 [ 0.]
INFO : Ingest_AT.py : RA Axis 1: 202.469600 -5.500001 43.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 5.500001 43.000000
INFO : Ingest_AT.py : Freq Orig Axis 3: 114.965 0.000389324 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.012538 km/s @ fc=115.079161 fw=0.229701 GHz
INFO : Ingest_AT.py : Freq Binn Axis 3: 114.965 0.000389324 0
INFO : Ingest_AT.py : Cube Binn Axis 3: type=Frequency velocity increment=-1.012538 km/s @ fc=115.079161 fw=0.229701 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 499.457487 VLSRw= -597.397269 VLSRf= 0.000000 VLSRz= 0.000000 VLSR= 463.000000
TIMING : Ingest done [ 6.59771000e-01 4.28050995e-01 1.13673047e+03 2.24210938e+02]
TIMING : Ingest END [ 2.011174 1.1295681]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : True
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 3.45957500e+00 1.60824615e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 4.40580000e-02 4.40587997e-02 1.13548047e+03 2.23203125e+02]
TIMING : CubeStats start [ 1.05790000e-02 1.05781555e-02 1.13548047e+03 2.23203125e+02]
TIMING : CubeStats imstat0 [ 7.07846000e-01 3.06056976e-01 1.39119141e+03 3.04242188e+02]
TIMING : CubeStats imstat1 [ 6.13871000e-01 1.21598959e-01 1.60125000e+03 3.22238281e+02]
INFO : CubeStats_AT.py : sigma varies from 0.149250 to 0.176754; 590/590 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.03755000e-01 7.03791142e-01 1.60125000e+03 3.22238281e+02]
INFO : CubeStats_AT.py : CubeMax: 1.686857 @ [ 47 42 304 0]
INFO : CubeStats_AT.py : CubeMin: -0.845950 @ [ 33 71 283 0]
INFO : CubeStats_AT.py : CubeRMS: 0.162827
INFO : CubeStats_AT.py : RMS Sanity check 1.018162
REGRESSION : CST: 0.162827 1.018162
INFO : CubeStats_AT.py : mean,rms,S/N=0.006409 0.162827 10.359801
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.160360 2.209225
TIMING : CubeStats plotting [ 1.859603 1.97901392 1618.22265625 341.53515625]
TIMING : CubeStats done [ 1.02460000e-02 1.02438927e-02 1.61822266e+03 3.41535156e+02]
TIMING : CubeStats summary [ 9.31900000e-03 9.31906700e-03 1.61822266e+03 3.41535156e+02]
TIMING : CubeStats END [ 3.968564 3.19394684]
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 [ 7.47259200e+00 1.60824616e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.162827
TIMING : CubeSum start [ 4.39260000e-02 4.39281464e-02 1.61822266e+03 3.41535156e+02]
TIMING : CubeSum immoments [ 6.17380000e-02 7.89198875e-02 1.61845312e+03 3.42101562e+02]
TIMING : CubeSum statistics [ 1.94150000e-02 1.84481144e-02 1.61044922e+03 3.42917969e+02]
INFO : CubeSum_AT.py : Total flux: 93599.633631 (sum=3094.201865)
REGRESSION : CSM: [93599.633631063203, 3094.2018645317294]
TIMING : CubeSum implot [ 1.58032000e-01 5.74251199e+00 1.61044922e+03 3.42984375e+02]
TIMING : CubeSum getdata [ 1.78580000e-02 1.78558826e-02 1.61044922e+03 3.42984375e+02]
TIMING : CubeSum done [ 1.91137000e-01 1.98395967e-01 1.61248828e+03 3.45082031e+02]
TIMING : CubeSum END [ 0.501796 6.10974813]
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 [ 8.02118000e+00 1.60824616e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 2.63600000e-02 2.63619423e-02 1.61248828e+03 3.45082031e+02]
TIMING : SFind2D imstat [ 6.45190000e-02 3.60538960e-02 1.61248828e+03 3.45082031e+02]
INFO : AT.py : Setting 'sigma' = 1.59836833692 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.59837 -1.48369 49.1367 35 0.130116
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 5.13972000e-01 4.95838165e-01 1.61248828e+03 3.45722656e+02]
INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR
INFO : SFind2D_AT.py : K.km/s Jy arcsec arcsec deg
INFO : SFind2D_AT.py : 13:29:51.226 +47.11.25.66 45.74 39.92 27.5 302 53.843 16.793 155.8 17.2
INFO : SFind2D_AT.py : 13:29:50.958 +47.11.31.15 46.24 40.92 38.4 372 69.603 15.440 153.7 24.0
INFO : SFind2D_AT.py : 13:29:51.552 +47.11.16.32 45.13 38.22 34 199 47.287 12.978 143.8 21.2
INFO : SFind2D_AT.py : 13:29:52.760 +47.12.10.47 42.90 48.07 18.8 132 27.500 27.500 0.0 11.8
INFO : SFind2D_AT.py : 13:29:53.730 +47.11.33.89 41.10 41.42 18.1 114 27.500 27.500 90.0 11.3
INFO : SFind2D_AT.py : 13:29:55.133 +47.10.55.34 38.50 34.41 15.6 103 27.500 27.500 0.0 9.8
INFO : SFind2D_AT.py : 13:29:53.930 +47.12.29.27 40.73 51.48 9.56 237 64.147 41.973 139.5 6.0
INFO : SFind2D_AT.py : 13:29:52.421 +47.11.22.80 43.52 39.40 9.61 234 87.427 17.383 52.8 6.0
INFO : SFind2D_AT.py : 13:29:50.222 +47.12.28.23 47.60 51.30 0 825 96.901 68.218 102.1 0.0
INFO : SFind2D_AT.py : 13:29:56.179 +47.12.09.21 36.56 47.84 9.2 51.4 27.500 27.500 0.0 5.8
INFO : SFind2D_AT.py : 13:29:53.504 +47.12.23.76 41.52 50.48 6.36 261 78.719 39.546 165.8 4.0
INFO : SFind2D_AT.py : 13:30:00.949 +47.13.15.24 27.73 59.85 4.83 34.5 65.966 13.495 150.2 3.0
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 3.35408000e-01 3.37415934e-01 1.61248828e+03 3.45722656e+02]
REGRESSION : CONTFLUX: 12 2863.78
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 11 arcsec , Minor axis: 11 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 2.34720000e-01 2.40777016e-01 1.61248828e+03 3.45843750e+02]
TIMING : SFind2D END [ 1.185678 1.14714479]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.084946 12.03088689]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.08495 12.0309 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 9.38584100e+00 1.60824616e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[47, 42, 304],1.686857
TIMING : CubeSpectrum CubeStats-pos [ 3.51090000e-02 3.51090431e-02 1.61248828e+03 3.45847656e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 42],49.136738
TIMING : CubeSpectrum Moment-pos [ 3.01960000e-02 3.02038193e-02 1.61248828e+03 3.45847656e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m51.226s', '+47d11m25.66s'),27.468218
TIMING : CubeSpectrum SourceList-pos [ 2.68320000e-02 2.68311501e-02 1.61248828e+03 3.45847656e+02]
TIMING : CubeSpectrum open [ 8.89500000e-03 8.89492035e-03 1.61248828e+03 3.45847656e+02]
TIMING : CubeSpectrum imval [ 3.44920000e-02 3.44929695e-02 1.61248828e+03 3.46316406e+02]
TIMING : CubeSpectrum imhead [ 5.32450000e-02 5.33111095e-02 1.61248828e+03 3.46316406e+02]
TIMING : CubeSpectrum imval [ 2.05799000e-01 2.12682009e-01 1.61248828e+03 3.46414062e+02]
REGRESSION : CSP: [1.6868571043014526, 1.3995931148529053]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.08769000e-01 2.15428829e-01 1.61248828e+03 3.46414062e+02]
TIMING : CubeSpectrum summary [ 1.06380000e-02 1.06379986e-02 1.61248828e+03 3.46414062e+02]
TIMING : CubeSpectrum END [ 0.623362 0.63697886]
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 1.00532060e+01 1.60824616e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 1.79740000e-02 1.79729462e-02 1.61248828e+03 3.46414062e+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 [ 14.947101 14.95051813 1612.48828125 346.4140625 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.26389 2.26445603 1612.48828125 346.4140625 ]
INFO : LineSegment_AT.py : Segment Coverage 83 / 590 = 0.140678
REGRESSION : LINESEG: [[115.05822163721751, 115.12208305409428], [115.15014217236113, 115.15131159912134], [115.06678429761175, 115.09364818317502], [115.06172438970681, 115.09053288694427]]
TIMING : LineSegment done [ 1.46620400e+00 1.49826598e+00 1.63817188e+03 3.72378906e+02]
TIMING : LineSegment END [ 18.705167 18.74120903]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 27.633876 31.66655993]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.6339 31.6666 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 27.708603 31.77923703]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.7086 31.7792 ]
INFO : AT.py : Setting {'vlsr': 463.0} for LineID_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineID_AT
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : vlsr : 463.0
INFO : maxgap : 3
INFO : reject : []
INFO : method : {'PeakFinder': {'thresh': 0.0}}
INFO : mode : ONE
INFO :
TIMING : LineID ADMIT [ 2.90402620e+01 1.60824618e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 463
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 7.00678 7.00695705 1638.171875 372.390625 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 8.75246 8.75272298 1638.171875 372.390625 ]
TIMING : LineID segment finder [ 1.06100000e-02 1.06079578e-02 1.63817188e+03 3.72390625e+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 : Found line: CO 1-0 @ 115.2712GHz, channels 241 - 480
REGRESSION : LINEID: CO 115.27120 241 480
INFO : LineID_AT.py : Line Coverage 240 / 590 = 0.40678
TIMING : LineID done [ 12.145903 12.16763806 1738.3125 472.5 ]
TIMING : LineID END [ 27.944389 27.96656013]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 55.964329 60.097543]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 55.9643 60.0975 ]
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 [ 5.72250290e+01 1.60824621e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.22048000e-01 4.45170403e-02 1.68887500e+03 4.23390625e+02]
TIMING : LineCube pad [ 6.18840000e-02 1.38850212e-02 1.68887500e+03 4.23390625e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 1.09936000e-01 1.03189945e-01 1.68887500e+03 4.23390625e+02]
REGRESSION : LC: [236, 485]
TIMING : LineCube done [ 2.57660000e-02 2.57911682e-02 1.68887500e+03 4.23453125e+02]
TIMING : LineCube END [ 0.331926 0.1996932]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 56.43925 60.49617791]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 56.4393 60.4962 ]
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' (V1.2.2)
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 [ 5.78112210e+01 1.60824621e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.68380000e-02 4.68380451e-02 1.68887500e+03 4.23453125e+02]
TIMING : Moment immoments-0 [ 7.66840000e-02 8.96320343e-02 1.70728906e+03 4.41742188e+02]
TIMING : Moment mom0clip [ 9.64680000e-02 7.02319145e-02 1.70728906e+03 4.42289062e+02]
TIMING : Moment implot [ 1.17865000e-01 2.96675920e-01 1.70728906e+03 4.42289062e+02]
TIMING : Moment getdata [ 1.45110000e-02 1.45111084e-02 1.70728906e+03 4.42289062e+02]
TIMING : Moment ren+mask_0 [ 2.92964000e-01 2.97996044e-01 1.70980469e+03 4.44804688e+02]
TIMING : Moment done [ 2.54330000e-02 2.54309177e-02 1.70980469e+03 4.44804688e+02]
TIMING : Moment END [ 0.688338 0.85889101]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@1.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 [ 5.86359980e+01 1.60824621e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 1.03731000e-01 1.03729963e-01 1.70980469e+03 4.44804688e+02]
TIMING : Moment immoments-all [ 9.87450000e-02 1.27831936e-01 1.70980469e+03 4.44804688e+02]
TIMING : Moment mom0clip [ 1.10891000e-01 8.45229626e-02 1.70980469e+03 4.44804688e+02]
TIMING : Moment implot [ 1.35745000e-01 3.65262032e-01 1.70980469e+03 4.44804688e+02]
TIMING : Moment getdata [ 2.00070000e-02 2.00071335e-02 1.70980469e+03 4.44804688e+02]
TIMING : Moment ren+mask_0 [ 2.21453000e-01 2.25795984e-01 1.70955469e+03 4.44554688e+02]
TIMING : Moment makemask [ 1.85552000e-01 1.65016890e-01 1.70955469e+03 4.45320312e+02]
TIMING : Moment implot [ 6.88300000e-02 3.17065001e-01 1.70955469e+03 4.45320312e+02]
TIMING : Moment getdata [ 1.77650000e-02 1.77659988e-02 1.70955469e+03 4.45320312e+02]
TIMING : Moment ren+mask_1 [ 2.47501000e-01 2.52560139e-01 1.70955469e+03 4.45488281e+02]
TIMING : Moment makemask [ 2.20391000e-01 1.94875956e-01 1.70955469e+03 4.45488281e+02]
TIMING : Moment implot [ 8.25360000e-02 3.62203836e-01 1.70955469e+03 4.45488281e+02]
TIMING : Moment getdata [ 2.12390000e-02 2.12399960e-02 1.70955469e+03 4.45488281e+02]
TIMING : Moment ren+mask_2 [ 3.09739000e-01 3.14090014e-01 1.70955469e+03 4.45488281e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 15795.5 7953.82 0.0330578 472.082 472.082 46.2173
TIMING : Moment mom0flux [ 1.39511000e-01 1.39552116e-01 1.70955469e+03 4.45488281e+02]
TIMING : Moment flux-spectrum [ 7.88822000e-01 4.06094074e-01 1.78956250e+03 4.45523438e+02]
TIMING : Moment done [ 1.77380000e-02 1.77948475e-02 1.78956250e+03 4.45523438e+02]
TIMING : Moment END [ 2.810102 3.15531301]
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 CubeSpectrum_AT - '@1' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 6.16054320e+01 1.60824622e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 42],62.556271
TIMING : CubeSpectrum Moment-pos [ 7.36050000e-02 7.36591816e-02 1.78956250e+03 4.45523438e+02]
TIMING : CubeSpectrum open [ 1.84900000e-02 1.84898376e-02 1.78956250e+03 4.45523438e+02]
TIMING : CubeSpectrum imval [ 5.36490000e-02 5.36530018e-02 1.78956250e+03 4.45523438e+02]
TIMING : CubeSpectrum imhead [ 5.98940000e-02 5.99570274e-02 1.78956250e+03 4.45523438e+02]
REGRESSION : CSP: [1.6868571043014526]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.88773000e-01 3.95920992e-01 1.78956250e+03 4.45523438e+02]
TIMING : CubeSpectrum summary [ 2.12060000e-02 2.12030411e-02 1.78956250e+03 4.45523438e+02]
TIMING : CubeSpectrum END [ 0.632944 0.64021015]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp