INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85778.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_85778.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 [ 2.24369400e+00 1.64394284e+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 [ 2.00933000e-01 2.09024191e-01 1.41021875e+03 2.16207031e+02]
TIMING : Ingest importfits [ 1.40934000e-01 2.06853867e-01 1.41089453e+03 2.17785156e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.65370000e-02 8.93409252e-02 1.41560938e+03 2.23550781e+02]
TIMING : Ingest summary-0 [ 1.51580000e-02 1.52330399e-02 1.41560938e+03 2.23550781e+02]
TIMING : Ingest mask [ 4.37590000e-02 5.50920963e-02 1.41560938e+03 2.23550781e+02]
TIMING : Ingest summary-1 [ 1.40930000e-02 1.86898708e-02 1.41560938e+03 2.23550781e+02]
TIMING : Ingest statistics [ 5.76260000e-02 5.77790737e-02 1.41661328e+03 2.25871094e+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] 3689595 -2.001380 1.761790
INFO : Ingest_AT.py : S/N (all data): 15.246130
INFO : Ingest_AT.py : GOOD PIXELS: 3689595/5705609 (64.666103% good or 35.333897% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -2.00138 1.76179 0.115557 91 91 689 35.333897
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 [ 5.73540000e-01 5.79190016e-01 1.41936328e+03 2.29074219e+02]
TIMING : Ingest END [ 1.124688 1.243361]
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 [ 3.42950700e+00 1.64394284e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.29300000e-02 5.31949997e-02 1.41861328e+03 2.28730469e+02]
TIMING : CubeStats start [ 1.26060000e-02 1.26469135e-02 1.41861328e+03 2.28730469e+02]
TIMING : CubeStats imstat0 [ 2.18484000e-01 2.19111204e-01 1.44748047e+03 2.58167969e+02]
TIMING : CubeStats imstat1 [ 2.94942000e-01 2.95780897e-01 1.47939062e+03 2.90128906e+02]
INFO : CubeStats_AT.py : sigma varies from 0.101247 to 0.129747; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.37374000e-01 8.40277910e-01 1.47939062e+03 2.90144531e+02]
INFO : CubeStats_AT.py : CubeMax: 1.761790 @ [ 10 61 612 0]
INFO : CubeStats_AT.py : CubeMin: -2.001380 @ [ 10 61 276 0]
INFO : CubeStats_AT.py : CubeRMS: 0.112665
INFO : CubeStats_AT.py : RMS Sanity check 1.025667
REGRESSION : CST: 0.112665 1.025667
INFO : CubeStats_AT.py : mean,rms,S/N=0.002615 0.112665 15.637447
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.740246 1.748233
TIMING : CubeStats plotting [ 2.319846 2.49177504 1488.89453125 298.0390625 ]
TIMING : CubeStats done [ 1.36330000e-02 1.36761665e-02 1.48889453e+03 2.98039062e+02]
TIMING : CubeStats summary [ 1.23210000e-02 1.23798847e-02 1.48889453e+03 2.98039062e+02]
TIMING : CubeStats END [ 3.774348 3.95109892]
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 [ 7.26418700e+00 1.64394284e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.112665
TIMING : CubeSum start [ 5.25070000e-02 5.26599884e-02 1.48889453e+03 2.98039062e+02]
TIMING : CubeSum immoments [ 9.38290000e-02 1.83931112e-01 1.48889453e+03 2.98386719e+02]
TIMING : CubeSum statistics [ 2.02150000e-02 2.02898979e-02 1.48889453e+03 2.98386719e+02]
INFO : CubeSum_AT.py : Total flux: 54740.959946 (sum=1809.617984)
REGRESSION : CSM: [54740.959945735463, 1809.6179841684643]
TIMING : CubeSum implot [ 1.53115000e-01 6.09370995e+00 1.56089844e+03 2.98429688e+02]
TIMING : CubeSum getdata [ 2.56330000e-02 2.57210732e-02 1.56089844e+03 2.98429688e+02]
TIMING : CubeSum done [ 2.49843000e-01 2.68985033e-01 1.56089844e+03 2.98496094e+02]
TIMING : CubeSum END [ 0.609022 6.65921593]
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 [ 7.93376700e+00 1.64394285e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.40930000e-02 3.41949463e-02 1.56089844e+03 2.98496094e+02]
TIMING : SFind2D imstat [ 4.16090000e-02 4.18531895e-02 1.56089844e+03 2.98496094e+02]
INFO : AT.py : Setting 'sigma' = 2.2464746327 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.24647 -28.9083 19.5616 35 0.459365
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.06114000e-01 1.19174004e-01 1.56089844e+03 2.98617188e+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 : 00:42:38.966 +41.32.01.73 38.33 58.17 17.6 69.6 43.052 14.278 57.4 7.8
INFO : SFind2D_AT.py : 00:42:31.491 +41.29.49.78 53.60 34.18 13.2 87.6 44.900 21.068 46.8 5.9
INFO : SFind2D_AT.py : 00:42:38.893 +41.32.01.55 38.48 58.13 17.6 61.5 37.982 13.204 52.5 7.8
INFO : SFind2D_AT.py : 00:42:29.257 +41.28.56.90 58.16 24.56 9.86 53.2 40.991 18.939 28.6 4.4
INFO : SFind2D_AT.py : 00:42:41.478 +41.32.04.58 33.20 58.69 4.9 55.5 43.477 25.648 123.1 2.2
INFO : SFind2D_AT.py : 00:42:43.674 +41.33.08.03 28.72 70.22 12.2 59 33.940 24.391 179.7 5.4
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.64419000e-01 2.73346901e-01 1.56089844e+03 2.99191406e+02]
REGRESSION : CONTFLUX: 6 386.432
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 [ 2.81123000e-01 3.00188065e-01 1.56089844e+03 2.99191406e+02]
TIMING : SFind2D END [ 0.741262 0.78269696]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.864462 13.31602001]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.86446 13.316 ]
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 [ 8.89204600e+00 1.64394285e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[10, 61, 612],1.761790
TIMING : CubeSpectrum CubeStats-pos [ 4.81810000e-02 4.82990742e-02 1.56089844e+03 2.99195312e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 59],19.561571
TIMING : CubeSpectrum Moment-pos [ 4.24320000e-02 4.25729752e-02 1.56089844e+03 2.99195312e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m38.966s', '+41d32m01.73s'),17.584286
TIMING : CubeSpectrum SourceList-pos [ 3.59440000e-02 3.60329151e-02 1.56089844e+03 2.99195312e+02]
TIMING : CubeSpectrum open [ 1.21700000e-02 1.22041702e-02 1.56089844e+03 2.99195312e+02]
TIMING : CubeSpectrum imval [ 4.40270000e-02 4.42309380e-02 1.56089844e+03 2.99773438e+02]
TIMING : CubeSpectrum imhead [ 4.18700000e-02 4.20160294e-02 1.56089844e+03 2.99773438e+02]
TIMING : CubeSpectrum imval [ 2.60767000e-01 2.79553890e-01 1.56089844e+03 2.99933594e+02]
TIMING : CubeSpectrum imval [ 3.07198000e-01 3.26590061e-01 1.56089844e+03 2.99933594e+02]
REGRESSION : CSP: [1.3431901931762695, 1.7617896795272827, 1.3179093599319458]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.78037000e-01 2.97333956e-01 1.56089844e+03 2.99933594e+02]
TIMING : CubeSpectrum summary [ 1.24260000e-02 1.24609470e-02 1.56089844e+03 2.99933594e+02]
TIMING : CubeSpectrum END [ 1.095291 1.15357208]
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 [ 1.00476370e+01 1.64394285e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.44050000e-02 2.44729519e-02 1.56089844e+03 2.99933594e+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 [ 13.274779 13.32116485 1560.8984375 300.375 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [301, 316]
WARNING : specutil.py : 0 [301, 315]
WARNING : specutil.py : 1 [319, 322]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 3.622342 3.63556218 1560.8984375 300.375 ]
INFO : LineSegment_AT.py : Segment Coverage 20 / 689 = 0.0290276
REGRESSION : LINESEG: [[115.36802481196871, 115.37388418736562], [115.36802481196871, 115.37349356233916], [115.375056062445, 115.37622793752436]]
TIMING : LineSegment done [ 2.400202 2.53101993 1581.3203125 320.80078125]
TIMING : LineSegment END [ 19.334144 19.52468586]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 27.576597 34.33396196]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.5766 34.334 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 27.674932 34.49552107]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.6749 34.4955 ]
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 [ 2.97269180e+01 1.64394287e+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 [ 8.050383 8.07460809 1581.3203125 320.80078125]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.368927 5.38864899 1581.3203125 320.80078125]
TIMING : LineID segment finder [ 1.40820000e-02 1.41479969e-02 1.58132031e+03 3.20800781e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [301, 316]
WARNING : specutil.py : 0 [301, 315]
WARNING : specutil.py : 1 [319, 322]
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 301 - 322
REGRESSION : LINEID: CO 115.27120 301 322
INFO : LineID_AT.py : Line Coverage 22 / 689 = 0.0319303
TIMING : LineID done [ 17.4826 17.72660708 1668.21875 407.69140625]
TIMING : LineID END [ 30.930085 31.21814108]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 58.942765 66.12025309]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 58.9428 66.1203 ]
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 [ 6.09475390e+01 1.64394290e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 7.54000000e-02 7.59449005e-02 1.61878125e+03 3.58617188e+02]
TIMING : LineCube pad [ 1.36950000e-02 1.37400627e-02 1.61878125e+03 3.58617188e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.64660000e-02 2.39674091e-01 1.61878125e+03 3.58738281e+02]
REGRESSION : LC: [296, 327]
TIMING : LineCube done [ 2.52780000e-02 2.53918171e-02 1.61878125e+03 3.58738281e+02]
TIMING : LineCube END [ 0.203233 0.36718607]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 59.316612 66.71876001]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 59.3166 66.7188 ]
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 [ 6.14188540e+01 1.64394290e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.89670000e-02 4.90870476e-02 1.61878125e+03 3.58738281e+02]
TIMING : Moment immoments-0 [ 1.00773000e-01 1.59065962e-01 1.63384766e+03 3.73691406e+02]
TIMING : Moment mom0clip [ 6.91560000e-02 1.18098974e-01 1.63384766e+03 3.73839844e+02]
TIMING : Moment implot [ 1.14228000e-01 3.70666027e-01 1.63384766e+03 3.73839844e+02]
TIMING : Moment getdata [ 2.76330000e-02 2.77130604e-02 1.63384766e+03 3.73839844e+02]
TIMING : Moment ren+mask_0 [ 3.61756000e-01 3.66385937e-01 1.64495703e+03 3.84937500e+02]
TIMING : Moment done [ 1.51060000e-02 1.51419640e-02 1.64495703e+03 3.84937500e+02]
TIMING : Moment END [ 0.75003 1.11862397]
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 [ 6.22299230e+01 1.64394290e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.87410000e-02 4.88791466e-02 1.64495703e+03 3.84937500e+02]
TIMING : Moment immoments-all [ 7.48600000e-02 2.37958908e-01 1.64495703e+03 3.84937500e+02]
TIMING : Moment mom0clip [ 6.94860000e-02 1.27889156e-01 1.64495703e+03 3.84937500e+02]
TIMING : Moment implot [ 9.77770000e-02 3.60019922e-01 1.64495703e+03 3.84937500e+02]
TIMING : Moment getdata [ 2.25830000e-02 2.26590633e-02 1.64495703e+03 3.84937500e+02]
TIMING : Moment ren+mask_0 [ 3.06007000e-01 3.10762882e-01 1.64495703e+03 3.84937500e+02]
TIMING : Moment makemask [ 1.52759000e-01 4.12054062e-01 1.64495703e+03 3.85214844e+02]
TIMING : Moment implot [ 7.91590000e-02 3.20942879e-01 1.64495703e+03 3.85214844e+02]
TIMING : Moment getdata [ 2.20370000e-02 2.21011639e-02 1.64495703e+03 3.85214844e+02]
TIMING : Moment ren+mask_1 [ 3.25394000e-01 3.30307007e-01 1.64495703e+03 3.85800781e+02]
TIMING : Moment makemask [ 1.56650000e-01 4.96292830e-01 1.64495703e+03 3.85800781e+02]
TIMING : Moment implot [ 8.23690000e-02 3.07088137e-01 1.64495703e+03 3.85800781e+02]
TIMING : Moment getdata [ 2.17480000e-02 2.18379498e-02 1.64495703e+03 3.85800781e+02]
TIMING : Moment ren+mask_2 [ 3.09275000e-01 3.14119101e-01 1.64495703e+03 3.85800781e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 3088.7 1925.18 0.0330578 -262.995 -262.995 6.05138
TIMING : Moment mom0flux [ 5.26440000e-02 5.28140068e-02 1.64495703e+03 3.85800781e+02]
TIMING : Moment flux-spectrum [ 2.93596000e-01 2.98556805e-01 1.64470703e+03 3.85550781e+02]
TIMING : Moment done [ 1.56660000e-02 1.57010555e-02 1.64470703e+03 3.85550781e+02]
TIMING : Moment END [ 2.143089 3.71238112]
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 [ 6.44818610e+01 1.64394291e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[38, 59],21.887543
TIMING : CubeSpectrum Moment-pos [ 5.51470000e-02 5.52980900e-02 1.64470703e+03 3.85550781e+02]
TIMING : CubeSpectrum open [ 1.23580000e-02 1.23939514e-02 1.64470703e+03 3.85550781e+02]
TIMING : CubeSpectrum imval [ 3.66530000e-02 3.68349552e-02 1.64470703e+03 3.85550781e+02]
TIMING : CubeSpectrum imhead [ 4.22640000e-02 4.24242020e-02 1.64470703e+03 3.85550781e+02]
REGRESSION : CSP: [1.3431901931762695]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.91506000e-01 2.96949863e-01 1.64470703e+03 3.85550781e+02]
TIMING : CubeSpectrum summary [ 1.28440000e-02 1.28841400e-02 1.64470703e+03 3.85550781e+02]
TIMING : CubeSpectrum END [ 0.46324 0.46929908]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp