INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177_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_92177_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 [ 2.09181000e+00 1.64394567e+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 [ 1.76460000e-01 1.83532953e-01 1.41056250e+03 2.16808594e+02]
TIMING : Ingest importfits [ 1.11829000e-01 3.89761209e-01 1.41057812e+03 2.18324219e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.51710000e-02 1.07980967e-01 1.41308594e+03 2.21566406e+02]
TIMING : Ingest summary-0 [ 1.49730000e-02 1.50089264e-02 1.41308594e+03 2.21566406e+02]
TIMING : Ingest mask [ 2.75830000e-02 5.81140518e-02 1.41308594e+03 2.21566406e+02]
TIMING : Ingest summary-1 [ 1.35350000e-02 1.85089111e-02 1.41308594e+03 2.21566406e+02]
TIMING : Ingest statistics [ 4.74400000e-02 4.75599766e-02 1.43282422e+03 2.42207031e+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] 1951248 -0.038463 0.039287
INFO : Ingest_AT.py : S/N (all data): 8.215660
INFO : Ingest_AT.py : GOOD PIXELS: 1951248/2084225 (93.619835% good or 6.380165% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0384628 0.0392871 0.00478198 55 55 689 6.380165
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 [ 5.63401000e-01 5.68590164e-01 1.43582422e+03 2.45660156e+02]
TIMING : Ingest END [ 1.022478 1.40117812]
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 [ 3.17511100e+00 1.64394568e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.29260000e-02 5.31578064e-02 1.43482422e+03 2.45183594e+02]
TIMING : CubeStats start [ 1.26620000e-02 1.27060413e-02 1.43482422e+03 2.45183594e+02]
TIMING : CubeStats imstat0 [ 1.35624000e-01 1.36070967e-01 1.43283594e+03 2.43656250e+02]
TIMING : CubeStats imstat1 [ 1.55635000e-01 1.56130075e-01 1.43452734e+03 2.45191406e+02]
INFO : CubeStats_AT.py : sigma varies from 0.002192 to 0.004990; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00438435 (2.27644 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.80307000e-01 7.83467054e-01 1.43452734e+03 2.45355469e+02]
INFO : CubeStats_AT.py : CubeMax: 0.039287 @ [45 27 6 0]
INFO : CubeStats_AT.py : CubeMin: -0.038463 @ [44 34 3 0]
INFO : CubeStats_AT.py : CubeRMS: 0.003739
INFO : CubeStats_AT.py : RMS Sanity check 1.278804
REGRESSION : CST: 0.003739 1.278804
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000085 0.003739 10.506218
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.035849 2.104600
TIMING : CubeStats plotting [ 2.862356 3.0363059 1458.4453125 267.46875 ]
TIMING : CubeStats done [ 1.42240000e-02 1.42619610e-02 1.45844531e+03 2.67468750e+02]
TIMING : CubeStats summary [ 1.24040000e-02 1.24661922e-02 1.45844531e+03 2.67468750e+02]
TIMING : CubeStats END [ 4.038373 4.2168529]
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 [ 7.27371100e+00 1.64394568e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.003739
TIMING : CubeSum start [ 5.30760000e-02 5.32791615e-02 1.45844531e+03 2.67468750e+02]
TIMING : CubeSum immoments [ 6.15030000e-02 1.07358932e-01 1.45844531e+03 2.67871094e+02]
TIMING : CubeSum statistics [ 2.04790000e-02 2.05619335e-02 1.45844531e+03 2.67871094e+02]
INFO : CubeSum_AT.py : Total flux: 346.753826 (sum=11.462933)
REGRESSION : CSM: [346.75382622236128, 11.462933069373321]
TIMING : CubeSum implot [ 1.54682000e-01 6.10202909e+00 1.53044922e+03 2.67953125e+02]
TIMING : CubeSum getdata [ 2.43060000e-02 2.44019032e-02 1.53044922e+03 2.67953125e+02]
TIMING : CubeSum done [ 2.82395000e-01 3.01519156e-01 1.53044922e+03 2.68015625e+02]
TIMING : CubeSum END [ 0.610802 6.62355709]
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 [ 7.95133400e+00 1.64394569e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.49490000e-02 3.50589752e-02 1.53044922e+03 2.68015625e+02]
TIMING : SFind2D imstat [ 4.15290000e-02 4.17649746e-02 1.53044922e+03 2.68015625e+02]
INFO : AT.py : Setting 'sigma' = 0.0611550195012 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.061155 -1.12127 0.833614 35 0.293445
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.22743000e-01 1.37665033e-01 1.53044922e+03 2.68636719e+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 : 10:11:01.974 -04.42.14.62 43.68 27.38 0.614 3.92 47.461 16.555 84.4 10.0
INFO : SFind2D_AT.py : 10:11:09.268 -04.41.17.85 23.86 37.70 0.567 1.69 28.476 12.070 89.5 9.3
INFO : SFind2D_AT.py : 10:11:00.247 -04.42.15.69 48.38 27.18 0.41 9.39 103.011 16.059 87.5 6.7
INFO : SFind2D_AT.py : 10:11:07.344 -04.43.33.04 29.09 13.12 0.42 1.33 29.622 16.212 92.4 6.9
INFO : SFind2D_AT.py : 10:11:01.258 -04.42.46.02 45.63 21.67 0.383 0.995 23.683 18.374 148.2 6.3
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.32066000e-01 2.37715006e-01 1.53044922e+03 2.69000000e+02]
REGRESSION : CONTFLUX: 5 17.3288
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 [ 3.30671000e-01 3.50027084e-01 1.53044922e+03 2.69000000e+02]
TIMING : SFind2D END [ 0.776211 0.81652212]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 7.053663 13.73292804]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.05366 13.7329 ]
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 [ 8.94811400e+00 1.64394569e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[45, 27, 6],0.039287
TIMING : CubeSpectrum CubeStats-pos [ 4.88090000e-02 4.89280224e-02 1.53044922e+03 2.69003906e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[45, 27],0.833614
TIMING : CubeSpectrum Moment-pos [ 4.80710000e-02 4.82251644e-02 1.53044922e+03 2.69003906e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('10h11m01.974s', '-04d42m14.62s'),0.614186
TIMING : CubeSpectrum SourceList-pos [ 3.59820000e-02 3.60729694e-02 1.53044922e+03 2.69003906e+02]
TIMING : CubeSpectrum open [ 1.22560000e-02 1.22909546e-02 1.53044922e+03 2.69003906e+02]
TIMING : CubeSpectrum imval [ 4.43340000e-02 4.45389748e-02 1.53044922e+03 2.69476562e+02]
TIMING : CubeSpectrum imhead [ 4.16840000e-02 4.18450832e-02 1.53044922e+03 2.69476562e+02]
TIMING : CubeSpectrum imval [ 2.73774000e-01 2.92652845e-01 1.53044922e+03 2.69515625e+02]
REGRESSION : CSP: [0.03876722976565361, 0.03928709402680397]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.11197000e-01 3.30595970e-01 1.53044922e+03 2.69660156e+02]
TIMING : CubeSpectrum summary [ 1.25170000e-02 1.25501156e-02 1.53044922e+03 2.69660156e+02]
TIMING : CubeSpectrum END [ 0.84086 0.87996721]
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 [ 9.84964300e+00 1.64394569e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.46280000e-02 2.46911049e-02 1.53044922e+03 2.69660156e+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 [ 22.515256 22.56998086 1530.44921875 270.0625 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [0, 52]
WARNING : specutil.py : 1 [249, 252]
WARNING : specutil.py : 2 [309, 312]
WARNING : specutil.py : 3 [502, 505]
WARNING : specutil.py : 4 [508, 511]
WARNING : specutil.py : 0 [0, 24]
WARNING : specutil.py : 1 [29, 52]
WARNING : specutil.py : 2 [155, 158]
WARNING : specutil.py : 3 [249, 252]
WARNING : specutil.py : 4 [309, 312]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1, 19]
WARNING : specutil.py : 1 [22, 27]
WARNING : specutil.py : 0 [1, 27]
TIMING : LineSegment segment finder [ 3.699862 3.70848417 1530.44921875 270.0625 ]
INFO : LineSegment_AT.py : Segment Coverage 73 / 689 = 0.105951
REGRESSION : LINESEG: [[115.01590574262737, 115.02293699310366], [115.02410886818303, 115.02606199331534], [115.01590574262737, 115.02606199331534], [115.01551511760091, 115.03582761897685], [115.11278074918954, 115.11395262426893], [115.13621825077718, 115.13739012585656], [115.21160888088403, 115.21278075596342], [115.2139526310428, 115.21512450612218], [115.01551511760091, 115.02489011823596], [115.02684324336826, 115.03582761897685], [115.07606199670226, 115.07723387178164], [115.11278074918954, 115.11395262426893], [115.13621825077718, 115.13739012585656]]
TIMING : LineSegment done [ 2.088685 2.19683099 1558.4921875 297.984375 ]
TIMING : LineSegment END [ 28.340927 28.51251817]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 36.512954 43.46045518]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.513 43.4605 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 36.613212 43.66709208]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.6132 43.6671 ]
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 [ 3.85308260e+01 1.64394572e+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 [ 13.936888 13.97089791 1558.4921875 298.109375 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 8.836507 8.86055398 1558.4921875 298.109375 ]
TIMING : LineID segment finder [ 1.44070000e-02 1.44441128e-02 1.55849219e+03 2.98109375e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [0, 52]
WARNING : specutil.py : 1 [249, 252]
WARNING : specutil.py : 2 [309, 312]
WARNING : specutil.py : 3 [502, 505]
WARNING : specutil.py : 4 [508, 511]
WARNING : specutil.py : 0 [0, 24]
WARNING : specutil.py : 1 [29, 52]
WARNING : specutil.py : 2 [155, 158]
WARNING : specutil.py : 3 [249, 252]
WARNING : specutil.py : 4 [309, 312]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1, 19]
WARNING : specutil.py : 1 [22, 27]
WARNING : specutil.py : 0 [1, 27]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 0 - 511
REGRESSION : LINEID: CO 115.27120 0 511
INFO : LineID_AT.py : Line Coverage 512 / 689 = 0.743106
TIMING : LineID done [ 15.602914 15.86188984 1665.58203125 406.5390625 ]
TIMING : LineID END [ 38.405714 38.722821]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 75.338087 82.80191612]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 75.3381 82.8019 ]
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 [ 7.72090440e+01 1.64394576e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.77600000e-02 6.80408478e-02 1.63403516e+03 3.75171875e+02]
TIMING : LineCube pad [ 1.48280000e-02 1.48751736e-02 1.63403516e+03 3.75171875e+02]
WARNING : LineCube_AT.py : pad=5 too large, start=-5 resetting to 0
TIMING : LineCube trans-x.CO_115.27120 [ 1.03174000e-01 2.33582020e-01 1.63403516e+03 3.75234375e+02]
REGRESSION : LC: [0, 516]
TIMING : LineCube done [ 2.53210000e-02 2.53829956e-02 1.63403516e+03 3.75234375e+02]
TIMING : LineCube END [ 0.2235 0.35433388]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 75.733115 83.40247703]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 75.7331 83.4025 ]
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 [ 7.77002390e+01 1.64394576e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.90570000e-02 4.91900444e-02 1.63403516e+03 3.75234375e+02]
TIMING : Moment immoments-0 [ 6.80280000e-02 1.14213943e-01 1.63403516e+03 3.75234375e+02]
TIMING : Moment mom0clip [ 6.98130000e-02 2.69826889e-01 1.63403516e+03 3.75324219e+02]
TIMING : Moment implot [ 9.88950000e-02 3.45052004e-01 1.63403516e+03 3.75386719e+02]
TIMING : Moment getdata [ 2.12390000e-02 2.13141441e-02 1.63403516e+03 3.75386719e+02]
TIMING : Moment ren+mask_0 [ 4.07487000e-01 4.12356853e-01 1.63876562e+03 3.80117188e+02]
TIMING : Moment done [ 1.58150000e-02 1.58770084e-02 1.63876562e+03 3.80117188e+02]
TIMING : Moment END [ 0.742763 1.24032807]
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 [ 7.85041400e+01 1.64394576e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86630000e-02 4.89349365e-02 1.63876562e+03 3.80117188e+02]
TIMING : Moment immoments-all [ 8.21280000e-02 2.92080164e-01 1.63876562e+03 3.80117188e+02]
TIMING : Moment mom0clip [ 7.11870000e-02 1.36325836e-01 1.63876562e+03 3.80117188e+02]
TIMING : Moment implot [ 9.77090000e-02 3.57138157e-01 1.63876562e+03 3.80117188e+02]
TIMING : Moment getdata [ 2.14070000e-02 2.14970112e-02 1.63876562e+03 3.80117188e+02]
TIMING : Moment ren+mask_0 [ 2.91369000e-01 2.95963049e-01 1.63826562e+03 3.79617188e+02]
TIMING : Moment makemask [ 1.50963000e-01 6.01976871e-01 1.63826562e+03 3.79679688e+02]
TIMING : Moment implot [ 7.83100000e-02 3.17588091e-01 1.63826562e+03 3.80347656e+02]
TIMING : Moment getdata [ 2.11940000e-02 2.12588310e-02 1.63826562e+03 3.80347656e+02]
TIMING : Moment ren+mask_1 [ 2.83405000e-01 2.88105011e-01 1.63826562e+03 3.80347656e+02]
TIMING : Moment makemask [ 1.49890000e-01 4.04880047e-01 1.63826562e+03 3.80347656e+02]
TIMING : Moment implot [ 7.74860000e-02 3.05562019e-01 1.63826562e+03 3.80347656e+02]
TIMING : Moment getdata [ 2.13110000e-02 2.13999748e-02 1.63826562e+03 3.80347656e+02]
TIMING : Moment ren+mask_2 [ 2.83950000e-01 2.88428068e-01 1.63826562e+03 3.80347656e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 -40.5991 17.618 0.0330578 506.458 506.458 171.708
TIMING : Moment mom0flux [ 5.16070000e-02 5.17649651e-02 1.63826562e+03 3.80347656e+02]
TIMING : Moment flux-spectrum [ 3.80691000e-01 3.85706902e-01 1.63826562e+03 3.80347656e+02]
TIMING : Moment done [ 1.53040000e-02 1.53481960e-02 1.63826562e+03 3.80347656e+02]
TIMING : Moment END [ 2.139081 3.86652112]
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' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 8.07528590e+01 1.64394576e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[24, 48],0.613230
TIMING : CubeSpectrum Moment-pos [ 5.50390000e-02 5.52020073e-02 1.63826562e+03 3.80347656e+02]
TIMING : CubeSpectrum open [ 1.23890000e-02 1.25751495e-02 1.63826562e+03 3.80347656e+02]
TIMING : CubeSpectrum imval [ 4.00100000e-02 4.02069092e-02 1.63826562e+03 3.80347656e+02]
TIMING : CubeSpectrum imhead [ 4.22550000e-02 4.24420834e-02 1.63826562e+03 3.80347656e+02]
REGRESSION : CSP: [0.017611268907785416]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.83612000e-01 2.87812948e-01 1.63826562e+03 3.80347656e+02]
TIMING : CubeSpectrum summary [ 1.27300000e-02 1.27639771e-02 1.63826562e+03 3.80347656e+02]
TIMING : CubeSpectrum END [ 0.458381 0.46339607]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp