INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85824.nf.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 : Region_J-K_85824.nf.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 [ 2.12231500e+00 1.64394325e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: Region_J-K SHAPE: [ 91 91 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.95708000e-01 2.01298952e-01 1.41021875e+03 2.17121094e+02]
TIMING : Ingest importfits [ 1.36178000e-01 2.41852045e-01 1.41095312e+03 2.18613281e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.37740000e-02 9.08241272e-02 1.41556250e+03 2.24277344e+02]
TIMING : Ingest summary-0 [ 1.42890000e-02 1.43768787e-02 1.41556250e+03 2.24277344e+02]
TIMING : Ingest mask [ 4.32250000e-02 5.42991161e-02 1.41556250e+03 2.24511719e+02]
TIMING : Ingest summary-1 [ 1.37260000e-02 1.78918839e-02 1.41556250e+03 2.24511719e+02]
TIMING : Ingest statistics [ 5.74280000e-02 5.75840473e-02 1.41670312e+03 2.26652344e+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: [ 91 91 689 1] 3724734 -1.339769 1.441572
INFO : Ingest_AT.py : S/N (all data): 11.955834
INFO : Ingest_AT.py : GOOD PIXELS: 3724734/5705609 (65.281971% good or 34.718029% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -1.33977 1.44157 0.120575 91 91 689 34.718029
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: Region_J-K
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 45.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 45.000000
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: 115.25 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.384822 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -295.492064 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = -295.492064 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.74090000e-01 5.78624010e-01 1.41945312e+03 2.29851562e+02]
TIMING : Ingest END [ 1.11055 1.26891613]
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 [ 3.29332300e+00 1.64394325e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.20720000e-02 5.22971153e-02 1.41870312e+03 2.29707031e+02]
TIMING : CubeStats start [ 1.24600000e-02 1.25041008e-02 1.41870312e+03 2.29707031e+02]
TIMING : CubeStats imstat0 [ 2.23995000e-01 2.24617958e-01 1.44783203e+03 2.59117188e+02]
TIMING : CubeStats imstat1 [ 3.06118000e-01 3.06934834e-01 1.47939844e+03 2.90777344e+02]
INFO : CubeStats_AT.py : sigma varies from 0.105759 to 0.132144; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.16400000e-01 8.19313049e-01 1.47939844e+03 2.90808594e+02]
INFO : CubeStats_AT.py : CubeMax: 1.441572 @ [ 32 57 309 0]
INFO : CubeStats_AT.py : CubeMin: -1.339769 @ [ 18 82 631 0]
INFO : CubeStats_AT.py : CubeRMS: 0.118434
INFO : CubeStats_AT.py : RMS Sanity check 1.018073
REGRESSION : CST: 0.118434 1.018073
INFO : CubeStats_AT.py : mean,rms,S/N=0.002491 0.118434 12.171916
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.575646 1.573442
TIMING : CubeStats plotting [ 2.290341 2.46095705 1489.15234375 299.1015625 ]
TIMING : CubeStats done [ 1.39080000e-02 1.39410496e-02 1.48915234e+03 2.99101562e+02]
TIMING : CubeStats summary [ 1.24700000e-02 1.25219822e-02 1.48915234e+03 2.99101562e+02]
TIMING : CubeStats END [ 3.740232 3.91559601]
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 [ 7.09478900e+00 1.64394325e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.118434
TIMING : CubeSum start [ 5.24890000e-02 5.26480675e-02 1.48915234e+03 2.99101562e+02]
TIMING : CubeSum immoments [ 9.33560000e-02 2.49041080e-01 1.48915234e+03 2.99425781e+02]
TIMING : CubeSum statistics [ 2.00420000e-02 2.01389790e-02 1.48915234e+03 2.99425781e+02]
INFO : CubeSum_AT.py : Total flux: 44678.156684 (sum=1476.963428)
REGRESSION : CSM: [44678.156684045091, 1476.9634276616853]
TIMING : CubeSum implot [ 1.43330000e-01 6.08072686e+00 1.56115625e+03 2.99453125e+02]
TIMING : CubeSum getdata [ 2.16660000e-02 2.17449665e-02 1.56115625e+03 2.99453125e+02]
TIMING : CubeSum done [ 2.49087000e-01 2.85858154e-01 1.56115625e+03 2.99523438e+02]
TIMING : CubeSum END [ 0.593819 6.72405005]
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 [ 7.74925800e+00 1.64394326e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.39220000e-02 3.40340137e-02 1.56115625e+03 2.99523438e+02]
TIMING : SFind2D imstat [ 4.11260000e-02 4.13489342e-02 1.56115625e+03 2.99523438e+02]
INFO : AT.py : Setting 'sigma' = 1.58475890553 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.58476 -9.09413 17.3216 35 0.36596
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.04953000e-01 1.28719091e-01 1.56115625e+03 2.99523438e+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 : 00:42:38.792 +41.32.00.35 38.69 57.92 8.29 58.2 40.827 14.338 57.0 5.2
INFO : SFind2D_AT.py : 00:42:31.343 +41.29.48.25 53.90 33.90 8.51 71.6 42.451 19.565 46.7 5.4
INFO : SFind2D_AT.py : 00:42:38.721 +41.32.00.12 38.83 57.87 8.29 53.6 37.289 13.668 53.3 5.2
INFO : SFind2D_AT.py : 00:42:40.328 +41.32.04.61 35.55 58.69 2.08 85.3 74.567 24.943 100.6 1.3
INFO : SFind2D_AT.py : 00:42:28.994 +41.28.57.12 58.70 24.60 6.62 37.2 36.612 16.419 26.2 4.2
INFO : SFind2D_AT.py : 00:42:43.418 +41.33.06.13 29.25 69.88 8.9 45.3 33.665 23.998 0.1 5.6
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.59134000e-01 2.69021034e-01 1.56115625e+03 3.00113281e+02]
REGRESSION : CONTFLUX: 6 351.245
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 [ 2.68642000e-01 2.87319899e-01 1.56115625e+03 3.00113281e+02]
TIMING : SFind2D END [ 0.721436 0.77414203]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.747412 13.32147288]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.74741 13.3215 ]
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 [ 8.68416200e+00 1.64394326e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[32, 57, 309],1.441572
TIMING : CubeSpectrum CubeStats-pos [ 4.86600000e-02 4.87859249e-02 1.56115625e+03 3.00113281e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 58],17.321646
TIMING : CubeSpectrum Moment-pos [ 4.19130000e-02 4.20389175e-02 1.56115625e+03 3.00113281e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m38.792s', '+41d32m00.35s'),8.288123
TIMING : CubeSpectrum SourceList-pos [ 3.57480000e-02 3.58381271e-02 1.56115625e+03 3.00113281e+02]
TIMING : CubeSpectrum open [ 1.22330000e-02 1.22668743e-02 1.56115625e+03 3.00113281e+02]
TIMING : CubeSpectrum imval [ 4.34670000e-02 4.36720848e-02 1.56115625e+03 3.00464844e+02]
TIMING : CubeSpectrum imhead [ 4.18010000e-02 4.19518948e-02 1.56115625e+03 3.00464844e+02]
TIMING : CubeSpectrum imval [ 2.45439000e-01 2.64859200e-01 1.56115625e+03 3.00527344e+02]
TIMING : CubeSpectrum imval [ 2.71302000e-01 2.89930820e-01 1.56115625e+03 3.00527344e+02]
REGRESSION : CSP: [1.4415717124938965, 1.1304805278778076, 1.0932662487030029]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.72959000e-01 2.91668177e-01 1.56090625e+03 3.00277344e+02]
TIMING : CubeSpectrum summary [ 1.26950000e-02 1.27267838e-02 1.56090625e+03 3.00277344e+02]
TIMING : CubeSpectrum END [ 1.038689 1.096246]
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 [ 9.78478500e+00 1.64394326e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.50260000e-02 2.50909328e-02 1.56090625e+03 3.00277344e+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 [ 14.936051 14.97227597 1560.90625 300.703125 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [306, 314]
WARNING : specutil.py : 0 [300, 313]
WARNING : specutil.py : 0 [300, 317]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [304, 312]
WARNING : specutil.py : 1 [321, 334]
TIMING : LineSegment segment finder [ 3.897202 3.90680718 1560.90625 300.703125 ]
INFO : LineSegment_AT.py : Segment Coverage 18 / 689 = 0.0261248
REGRESSION : LINESEG: [[115.36919668704807, 115.37232168725977], [115.37583731249791, 115.38091543784191], [115.36997793710101, 115.37310293731269], [115.36763418694224, 115.37271231228623], [115.36763418694224, 115.37427481239207]]
TIMING : LineSegment done [ 2.323328 2.45294499 1554.5078125 294.2890625 ]
TIMING : LineSegment END [ 21.19435 21.36989498]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 29.265137 36.16861296]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.2651 36.1686 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 29.362818 36.32571387]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.3628 36.3257 ]
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 [ 3.13238710e+01 1.64394328e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = -295.49 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -295.492
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 8.536042 8.56382895 1554.5078125 294.30859375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 6.574293 6.59622598 1554.5078125 294.30859375]
TIMING : LineID segment finder [ 1.45250000e-02 1.45680904e-02 1.55450781e+03 2.94308594e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [306, 314]
WARNING : specutil.py : 0 [300, 313]
WARNING : specutil.py : 0 [300, 317]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [304, 312]
WARNING : specutil.py : 1 [321, 334]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 300 - 334
REGRESSION : LINEID: CO 115.27120 300 334
INFO : LineID_AT.py : Line Coverage 35 / 689 = 0.0507983
TIMING : LineID done [ 17.777312 18.03107882 1666.48046875 406.390625 ]
TIMING : LineID END [ 32.916189 33.21975183]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 62.614087 69.9594419]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.6141 69.9594 ]
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 [ 6.45285200e+01 1.64394332e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 7.64170000e-02 7.69729614e-02 1.66648047e+03 4.06402344e+02]
TIMING : LineCube pad [ 1.35530000e-02 1.35929585e-02 1.66648047e+03 4.06402344e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.84080000e-02 1.45401001e-01 1.66648047e+03 4.06640625e+02]
REGRESSION : LC: [295, 339]
TIMING : LineCube done [ 2.51020000e-02 2.51641273e-02 1.66648047e+03 4.06640625e+02]
TIMING : LineCube END [ 0.205978 0.2736659]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 62.991364 70.49893498]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.9914 70.4989 ]
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 [ 6.50045330e+01 1.64394332e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.91540000e-02 4.92870808e-02 1.66648047e+03 4.06640625e+02]
TIMING : Moment immoments-0 [ 1.04988000e-01 1.44875050e-01 1.66648047e+03 4.06640625e+02]
TIMING : Moment mom0clip [ 6.87060000e-02 1.13602877e-01 1.66648047e+03 4.06828125e+02]
TIMING : Moment implot [ 9.46580000e-02 3.54022980e-01 1.66648047e+03 4.06886719e+02]
TIMING : Moment getdata [ 2.04840000e-02 2.05600262e-02 1.66648047e+03 4.06886719e+02]
TIMING : Moment ren+mask_0 [ 3.29010000e-01 3.33724022e-01 1.66448047e+03 4.04886719e+02]
TIMING : Moment done [ 1.52740000e-02 1.53200626e-02 1.66448047e+03 4.04886719e+02]
TIMING : Moment END [ 0.694639 1.04380798]
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 [ 6.57602520e+01 1.64394332e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85390000e-02 4.86538410e-02 1.66448047e+03 4.04886719e+02]
TIMING : Moment immoments-all [ 7.07320000e-02 3.54112148e-01 1.66448047e+03 4.04886719e+02]
TIMING : Moment mom0clip [ 6.75310000e-02 1.52241945e-01 1.66448047e+03 4.04886719e+02]
TIMING : Moment implot [ 9.28670000e-02 3.63034964e-01 1.66448047e+03 4.04886719e+02]
TIMING : Moment getdata [ 2.02620000e-02 2.03340054e-02 1.66448047e+03 4.04886719e+02]
TIMING : Moment ren+mask_0 [ 2.53657000e-01 2.58012056e-01 1.66423047e+03 4.04636719e+02]
TIMING : Moment makemask [ 1.50128000e-01 7.59069920e-01 1.66423047e+03 4.05085938e+02]
TIMING : Moment implot [ 7.66590000e-02 3.22410107e-01 1.66423047e+03 4.05667969e+02]
TIMING : Moment getdata [ 2.00680000e-02 2.01427937e-02 1.66423047e+03 4.05667969e+02]
TIMING : Moment ren+mask_1 [ 2.59898000e-01 2.64384031e-01 1.66423047e+03 4.05667969e+02]
TIMING : Moment makemask [ 1.50523000e-01 5.37319183e-01 1.66423047e+03 4.05667969e+02]
TIMING : Moment implot [ 7.58290000e-02 3.04612875e-01 1.66423047e+03 4.05667969e+02]
TIMING : Moment getdata [ 2.00900000e-02 2.01690197e-02 1.66423047e+03 4.05667969e+02]
TIMING : Moment ren+mask_2 [ 2.53285000e-01 2.57246971e-01 1.66423047e+03 4.05667969e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 3961.66 2352.22 0.0330578 -267.25 -267.25 8.71369
TIMING : Moment mom0flux [ 5.15410000e-02 5.17089367e-02 1.66423047e+03 4.05667969e+02]
TIMING : Moment flux-spectrum [ 2.69960000e-01 2.74116039e-01 1.66423047e+03 4.05667969e+02]
TIMING : Moment done [ 1.48610000e-02 1.49030685e-02 1.66423047e+03 4.05667969e+02]
TIMING : Moment END [ 1.908876 4.03496385]
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 [ 6.77783430e+01 1.64394332e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 58],18.926537
TIMING : CubeSpectrum Moment-pos [ 5.47000000e-02 5.48489094e-02 1.66423047e+03 4.05667969e+02]
TIMING : CubeSpectrum open [ 1.24270000e-02 1.24640465e-02 1.66423047e+03 4.05667969e+02]
TIMING : CubeSpectrum imval [ 3.65380000e-02 3.67209911e-02 1.66423047e+03 4.05667969e+02]
TIMING : CubeSpectrum imhead [ 4.21050000e-02 4.22599316e-02 1.66423047e+03 4.05667969e+02]
REGRESSION : CSP: [1.1304805278778076]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.53947000e-01 2.58313179e-01 1.66423047e+03 4.05667969e+02]
TIMING : CubeSpectrum summary [ 1.25900000e-02 1.26237869e-02 1.66423047e+03 4.05667969e+02]
TIMING : CubeSpectrum END [ 0.424669 0.42962885]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp