INFO : AT.py : Setting {'basename': 'x', 'file': 'CHI-Cyg_93607.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 : CHI-Cyg_93607.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 [ 2.86805200e+00 1.64391382e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: CHI-Cyg SHAPE: [ 65 65 515]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.95431000e-01 3.00840855e-01 1.18939844e+03 2.06906250e+02]
TIMING : Ingest importfits [ 1.86312000e-01 3.93130064e-01 1.19003516e+03 2.08714844e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 8.89920000e-02 2.28608131e-01 1.19057422e+03 2.10093750e+02]
TIMING : Ingest summary-0 [ 2.31850000e-02 2.31838226e-02 1.19057422e+03 2.10093750e+02]
TIMING : Ingest mask [ 4.37400000e-02 1.10551119e-01 1.19057422e+03 2.10468750e+02]
TIMING : Ingest summary-1 [ 2.34150000e-02 4.86068726e-02 1.19057422e+03 2.10468750e+02]
TIMING : Ingest statistics [ 8.41910000e-02 8.41920376e-02 1.19050781e+03 2.11347656e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 17.2500012, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 17.2500012, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 65 65 515 1] 1081500 -0.765977 8.366517
INFO : Ingest_AT.py : S/N (all data): 110.276115
INFO : Ingest_AT.py : GOOD PIXELS: 1081500/2175875 (49.704142% good or 50.295858% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.765977 8.36652 0.0758688 65 65 515 50.295858
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: CHI-Cyg
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 0.000000 -7.499999 32.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 7.499999 32.000000
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: 86.3414 -0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=1.357859 km/s @ fc=86.241048 fw=-0.201172 GHz
INFO : Ingest_AT.py : RESTFREQ: 86.2434 86.2434 -1
INFO : Ingest_AT.py : VLSRc= 8.321063 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.297385
INFO : Ingest_AT.py : VLSR = 8.321063 errs = 0.000000 0.000000 0.000000 width = 1.357859
TIMING : Ingest done [ 9.87338000e-01 1.00610805e+00 1.19412891e+03 2.15250000e+02]
TIMING : Ingest END [ 1.754282 2.21689796]
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 [ 4.72981300e+00 1.64391382e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 7.71630000e-02 7.71639347e-02 1.19312891e+03 2.14996094e+02]
TIMING : CubeStats start [ 2.13360000e-02 2.13348866e-02 1.19312891e+03 2.14996094e+02]
TIMING : CubeStats imstat0 [ 2.31872000e-01 2.32035160e-01 1.21176953e+03 2.33937500e+02]
TIMING : CubeStats imstat1 [ 2.14892000e-01 2.14900017e-01 1.21428125e+03 2.36250000e+02]
INFO : CubeStats_AT.py : sigma varies from 0.054929 to 0.075135; 515/515 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 1.00577700e+00 1.00578499e+00 1.21428125e+03 2.36437500e+02]
INFO : CubeStats_AT.py : CubeMax: 8.366517 @ [ 32 33 258 0]
INFO : CubeStats_AT.py : CubeMin: -0.765977 @ [ 9 43 247 0]
INFO : CubeStats_AT.py : CubeRMS: 0.060777
INFO : CubeStats_AT.py : RMS Sanity check 1.248307
REGRESSION : CST: 0.060777 1.248307
INFO : CubeStats_AT.py : mean,rms,S/N=0.000811 0.060777 137.658439
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.062551 0.978402
TIMING : CubeStats plotting [ 3.522552 194.54040694 1234.9921875 253.5078125 ]
TIMING : CubeStats done [ 2.22420000e-02 2.22408772e-02 1.23499219e+03 2.53507812e+02]
TIMING : CubeStats summary [ 2.16280000e-02 2.16281414e-02 1.23499219e+03 2.53507812e+02]
TIMING : CubeStats END [ 5.138884 196.15691686]
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 [ 9.97707700e+00 1.64391402e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.060777
TIMING : CubeSum start [ 8.65990000e-02 8.65988731e-02 1.23499219e+03 2.53507812e+02]
TIMING : CubeSum immoments [ 1.27291000e-01 3.19907188e-01 1.23499219e+03 2.53507812e+02]
TIMING : CubeSum statistics [ 3.00310000e-02 3.00300121e-02 1.23499219e+03 2.53507812e+02]
INFO : CubeSum_AT.py : Total flux: 49011.510345 (sum=871.316018)
REGRESSION : CSM: [49011.510344961876, 871.31601828709245]
TIMING : CubeSum implot [ 2.22883000e-01 5.95897293e+00 1.30699609e+03 2.54035156e+02]
TIMING : CubeSum getdata [ 2.98040000e-02 2.98020840e-02 1.30699609e+03 2.54035156e+02]
TIMING : CubeSum done [ 3.78048000e-01 2.12121868e+01 1.31248828e+03 2.59531250e+02]
TIMING : CubeSum END [ 0.897187 27.66002798]
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 [ 1.09793400e+01 1.64391404e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 5.13280000e-02 5.13279438e-02 1.31248828e+03 2.59531250e+02]
TIMING : SFind2D imstat [ 6.35120000e-02 6.35130405e-02 1.31248828e+03 2.59531250e+02]
INFO : AT.py : Setting 'sigma' = 1.08754966563 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.08755 -4.83394 31.8754 35 0.136475
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 2.98405000e-01 3.48310947e-01 1.31248828e+03 2.60406250e+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 : 00:00:00.034 +00.00.06.99 31.93 32.93 15.7 75.5 45.456 18.439 3.3 14.5
INFO : SFind2D_AT.py : 00:00:00.030 -00.01.05.76 31.94 23.23 24.4 67.8 42.715 17.979 175.3 22.5
INFO : SFind2D_AT.py : 23:59:59.929 -00.00.31.54 32.14 27.79 18.6 111 37.500 37.500 0.0 17.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 3.29149000e-01 3.70323896e-01 1.31248828e+03 2.60406250e+02]
REGRESSION : CONTFLUX: 3 254.824
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 17.3 arcsec , Minor axis: 17.3 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 4.79778000e-01 2.13014131e+01 1.31248828e+03 2.60531250e+02]
TIMING : SFind2D END [ 1.244409 22.15721989]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 9.934058 249.13813591]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 9.93406 249.138 ]
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 [ 1.25690330e+01 1.64391407e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[32, 33, 258],8.366517
TIMING : CubeSpectrum CubeStats-pos [ 8.44160000e-02 8.44149590e-02 1.31248828e+03 2.60531250e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[32, 33],31.875404
TIMING : CubeSpectrum Moment-pos [ 6.77320000e-02 6.77330494e-02 1.31248828e+03 2.60531250e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.034s', '+00d00m06.99s'),15.726621
TIMING : CubeSpectrum SourceList-pos [ 6.27700000e-02 6.27689362e-02 1.31248828e+03 2.60531250e+02]
TIMING : CubeSpectrum open [ 2.11770000e-02 2.11780071e-02 1.31248828e+03 2.60531250e+02]
TIMING : CubeSpectrum imval [ 5.92680000e-02 5.92679977e-02 1.31248828e+03 2.60906250e+02]
TIMING : CubeSpectrum imhead [ 6.98370000e-02 6.98368549e-02 1.31248828e+03 2.60906250e+02]
TIMING : CubeSpectrum imval [ 3.55005000e-01 2.11405780e+01 1.31248828e+03 2.61093750e+02]
REGRESSION : CSP: [8.3665170669555664, 8.3665170669555664]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 4.08475000e-01 2.12602491e+01 1.31248828e+03 2.61093750e+02]
TIMING : CubeSpectrum summary [ 2.10390000e-02 2.10390091e-02 1.31248828e+03 2.61093750e+02]
TIMING : CubeSpectrum END [ 1.170942 42.80828881]
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 [ 1.38440820e+01 1.64391411e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 4.25980000e-02 4.25980091e-02 1.31248828e+03 2.61093750e+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 [ 19.089806 19.08702397 1312.48828125 261.09375 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [254, 261]
WARNING : specutil.py : 0 [254, 261]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [257, 261]
TIMING : LineSegment segment finder [ 5.26037 5.26040196 1312.48828125 261.09375 ]
INFO : LineSegment_AT.py : Segment Coverage 8 / 515 = 0.015534
REGRESSION : LINESEG: [[86.239485720186366, 86.241048220253148], [86.239485720186366, 86.242220095303225], [86.239485720186366, 86.242220095303225]]
TIMING : LineSegment done [ 2.831806 107.32552791 1336.578125 285.58203125]
TIMING : LineSegment END [ 27.246161 131.73713183]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 38.796628 424.14803195]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.7966 424.148 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 38.95501 424.32538509]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.955 424.325 ]
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 [ 4.16345070e+01 1.64391424e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 8.32 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 8.32106
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 9.751891 9.75207114 1336.578125 285.63671875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 9.416789 9.41711092 1336.578125 285.63671875]
TIMING : LineID segment finder [ 2.44800000e-02 2.44801044e-02 1.33657812e+03 2.85636719e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [254, 261]
WARNING : specutil.py : 0 [254, 261]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [257, 261]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: (CH3)2COv=0 45(28,17)-45(27,18)AA @ 86.24385GHz, channels 254 - 261
REGRESSION : LINEID: (CH3)2COv=0 86.24385 254 261
INFO : LineID_AT.py : Line Coverage 8 / 515 = 0.015534
TIMING : LineID done [ 19.518412 28.14721084 1432.34765625 382.72265625]
TIMING : LineID END [ 38.735845 47.36514497]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 78.176561 472.19784093]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 78.1766 472.198 ]
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 [ 8.07710460e+01 1.64391429e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.10264000e-01 1.10285044e-01 1.40158594e+03 3.52167969e+02]
TIMING : LineCube pad [ 2.23290000e-02 2.23281384e-02 1.40158594e+03 3.52167969e+02]
TIMING : LineCube trans-x.(CH3)2CO_86.24385 [ 1.05178000e-01 3.86519909e-01 1.40158594e+03 3.52355469e+02]
REGRESSION : LC: [249, 266]
TIMING : LineCube done [ 4.27010000e-02 4.27000523e-02 1.40158594e+03 3.52355469e+02]
TIMING : LineCube END [ 0.302093 0.58345413]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.(CH3)2CO_86.24385/lc.im
TIMING : ADMITrun END [ 78.761326 473.08556294]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 78.7613 473.086 ]
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 [ 8.15245560e+01 1.64391429e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 8.69830000e-02 8.71691704e-02 1.40158594e+03 3.52355469e+02]
TIMING : Moment immoments-0 [ 1.37010000e-01 3.47225904e-01 1.40158594e+03 3.52355469e+02]
TIMING : Moment mom0clip [ 9.36250000e-02 2.51348019e-01 1.40158594e+03 3.52542969e+02]
TIMING : Moment implot [ 1.46813000e-01 4.70380068e-01 1.40158594e+03 3.52605469e+02]
TIMING : Moment getdata [ 2.83660000e-02 2.83648968e-02 1.40158594e+03 3.52605469e+02]
TIMING : Moment ren+mask_0 [ 4.36389000e-01 2.18187904e+00 1.39884766e+03 3.49867188e+02]
TIMING : Moment done [ 2.30520000e-02 2.30510235e-02 1.39884766e+03 3.49867188e+02]
TIMING : Moment END [ 0.974399 3.41157913]
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 [ 8.26088060e+01 1.64391430e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 8.58890000e-02 8.59148502e-02 1.39884766e+03 3.49867188e+02]
TIMING : Moment immoments-all [ 9.05470000e-02 5.69910049e-01 1.39884766e+03 3.49867188e+02]
TIMING : Moment mom0clip [ 9.27460000e-02 2.48092175e-01 1.39884766e+03 3.49867188e+02]
TIMING : Moment implot [ 1.40897000e-01 4.62066889e-01 1.39884766e+03 3.49867188e+02]
TIMING : Moment getdata [ 2.79790000e-02 2.79779434e-02 1.39884766e+03 3.49867188e+02]
TIMING : Moment ren+mask_0 [ 3.93131000e-01 2.12446809e+00 1.39884766e+03 3.49867188e+02]
TIMING : Moment makemask [ 1.67029000e-01 1.02196193e+00 1.39884766e+03 3.49867188e+02]
TIMING : Moment implot [ 1.19772000e-01 4.54322100e-01 1.39884766e+03 3.49867188e+02]
TIMING : Moment getdata [ 2.81600000e-02 2.81598568e-02 1.39884766e+03 3.49867188e+02]
TIMING : Moment ren+mask_1 [ 3.76157000e-01 2.13848019e+00 1.39884766e+03 3.50867188e+02]
TIMING : Moment makemask [ 1.63984000e-01 1.08403182e+00 1.39884766e+03 3.50867188e+02]
TIMING : Moment implot [ 1.15738000e-01 4.21091080e-01 1.39884766e+03 3.50867188e+02]
TIMING : Moment getdata [ 2.81020000e-02 2.81031132e-02 1.39884766e+03 3.50867188e+02]
TIMING : Moment ren+mask_2 [ 3.69054000e-01 2.08107281e+00 1.39884766e+03 3.50867188e+02]
REGRESSION : MOM0FLUX: x.(CH3)2CO_86.24385 939.055 708.501 0.0177778 11.9102 11.9102 0.117451
TIMING : Moment mom0flux [ 8.83080000e-02 8.83071423e-02 1.39884766e+03 3.50867188e+02]
TIMING : Moment flux-spectrum [ 3.57061000e-01 2.14735484e+00 1.39884766e+03 3.50867188e+02]
TIMING : Moment done [ 2.30160000e-02 2.31430531e-02 1.39884766e+03 3.50867188e+02]
TIMING : Moment END [ 2.689612 13.05660295]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.(CH3)2CO_86.24385/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.(CH3)2CO_86.24385/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.(CH3)2CO_86.24385/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 [ 8.54921160e+01 1.64391431e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[32, 33],32.381935
TIMING : CubeSpectrum Moment-pos [ 9.23590000e-02 9.27059650e-02 1.39884766e+03 3.50867188e+02]
TIMING : CubeSpectrum open [ 2.14110000e-02 2.14788914e-02 1.39884766e+03 3.50867188e+02]
TIMING : CubeSpectrum imval [ 5.11560000e-02 5.12971878e-02 1.39884766e+03 3.50867188e+02]
TIMING : CubeSpectrum imhead [ 6.92680000e-02 6.94649220e-02 1.39884766e+03 3.50867188e+02]
REGRESSION : CSP: [8.3665170669555664]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.68541000e-01 2.04701805e+00 1.39884766e+03 3.50867188e+02]
TIMING : CubeSpectrum summary [ 2.15400000e-02 2.16050148e-02 1.39884766e+03 3.50867188e+02]
TIMING : CubeSpectrum END [ 0.645851 2.32521105]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.(CH3)2CO_86.24385/lc-@1.csp