INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_90911.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 : NGC5194_90911.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 [ 2.23517600e+00 1.64394404e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [145 145 590]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.69364000e-01 2.74970055e-01 1.41106250e+03 2.17113281e+02]
TIMING : Ingest importfits [ 1.81850000e-01 3.62035036e-01 1.41131641e+03 2.18816406e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 7.61970000e-02 1.23628855e-01 1.41173047e+03 2.20140625e+02]
TIMING : Ingest summary-0 [ 1.42210000e-02 1.43060684e-02 1.41173047e+03 2.20140625e+02]
TIMING : Ingest mask [ 6.82310000e-02 9.95218754e-02 1.41188672e+03 2.20140625e+02]
TIMING : Ingest summary-1 [ 1.36370000e-02 1.72080994e-02 1.41188672e+03 2.20140625e+02]
TIMING : Ingest statistics [ 9.66860000e-02 9.69409943e-02 1.41188672e+03 2.21132812e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 14.375001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.375001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [145 145 590 1] 7352580 -3.584407 4.010004
INFO : Ingest_AT.py : S/N (all data): 37.858777
INFO : Ingest_AT.py : GOOD PIXELS: 7352580/12404750 (59.272295% good or 40.727705% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -3.58441 4.01 0.10592 145 145 590 40.727705
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: NGC5194
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 202.469600 -6.250000 72.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 6.250000 72.000000
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: 114.964 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.078726 fw=0.230469 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 500.589066 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -599.393390
INFO : Ingest_AT.py : VLSR = 500.589066 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 6.07131000e-01 6.12358093e-01 1.41476562e+03 2.24457031e+02]
TIMING : Ingest END [ 1.339365 1.61304903]
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 [ 3.63506100e+00 1.64394404e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.24570000e-02 5.26809692e-02 1.41576562e+03 2.26136719e+02]
TIMING : CubeStats start [ 1.25500000e-02 1.25880241e-02 1.41576562e+03 2.26136719e+02]
TIMING : CubeStats imstat0 [ 4.16992000e-01 4.18070078e-01 1.41453906e+03 2.25343750e+02]
TIMING : CubeStats imstat1 [ 5.47280000e-01 5.48542023e-01 1.45803906e+03 2.69058594e+02]
INFO : CubeStats_AT.py : sigma varies from 0.097617 to 0.109592; 590/590 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.48469000e-01 8.51280928e-01 1.45803906e+03 2.69062500e+02]
INFO : CubeStats_AT.py : CubeMax: 4.010004 @ [ 22 74 289 0]
INFO : CubeStats_AT.py : CubeMin: -3.584407 @ [ 22 74 559 0]
INFO : CubeStats_AT.py : CubeRMS: 0.103391
INFO : CubeStats_AT.py : RMS Sanity check 1.024456
REGRESSION : CST: 0.103391 1.024456
INFO : CubeStats_AT.py : mean,rms,S/N=0.000788 0.103391 38.784656
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.229175 2.289259
TIMING : CubeStats plotting [ 2.262594 2.43770695 1467.04296875 276.40625 ]
TIMING : CubeStats done [ 1.36540000e-02 1.36899948e-02 1.46704297e+03 2.76406250e+02]
TIMING : CubeStats summary [ 1.21670000e-02 1.22151375e-02 1.46704297e+03 2.76406250e+02]
TIMING : CubeStats END [ 4.1783 4.35895109]
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 [ 7.87297200e+00 1.64394405e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.103391
TIMING : CubeSum start [ 5.22930000e-02 5.24461269e-02 1.46704297e+03 2.76406250e+02]
TIMING : CubeSum immoments [ 1.50595000e-01 1.86500788e-01 1.46704297e+03 2.76808594e+02]
TIMING : CubeSum statistics [ 2.02550000e-02 2.03452110e-02 1.46704297e+03 2.76851562e+02]
INFO : CubeSum_AT.py : Total flux: 91243.460171 (sum=2335.832879)
REGRESSION : CSM: [91243.460170520266, 2335.8328793519177]
TIMING : CubeSum implot [ 1.41629000e-01 6.05882883e+00 1.53904688e+03 2.76890625e+02]
TIMING : CubeSum getdata [ 2.18650000e-02 2.19399929e-02 1.53904688e+03 2.76890625e+02]
TIMING : CubeSum done [ 2.44407000e-01 2.64342070e-01 1.53904688e+03 2.76953125e+02]
TIMING : CubeSum END [ 0.644949 6.61835408]
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 [ 8.57828400e+00 1.64394405e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.41030000e-02 3.42280865e-02 1.53904688e+03 2.76953125e+02]
TIMING : SFind2D imstat [ 4.19050000e-02 4.21459675e-02 1.53904688e+03 2.76953125e+02]
INFO : AT.py : Setting 'sigma' = 1.05790707555 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.05791 -30.3162 40.7147 35 0.103934
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 6.97942000e-01 7.21409082e-01 1.53904688e+03 2.76953125e+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 : 13:29:50.871 +47.11.17.27 74.99 67.95 18.4 172 62.183 18.486 155.2 17.4
INFO : SFind2D_AT.py : 13:29:49.972 +47.11.28.92 76.46 69.81 38.1 249 100.031 15.449 147.5 36.0
INFO : SFind2D_AT.py : 13:29:51.583 +47.11.58.15 73.83 74.49 16.6 92.6 31.250 31.250 90.0 15.7
INFO : SFind2D_AT.py : 13:29:53.774 +47.11.26.61 70.25 69.44 16 76.7 31.250 31.250 90.0 15.1
INFO : SFind2D_AT.py : 13:29:55.341 +47.12.05.79 67.70 75.71 10.3 60.1 31.250 31.250 90.0 9.7
INFO : SFind2D_AT.py : 13:29:52.500 +47.11.23.88 72.33 69.00 16.6 548 146.699 57.041 7.9 15.6
INFO : SFind2D_AT.py : 13:29:49.547 +47.12.38.64 77.15 80.97 4.23 40.7 31.250 31.250 90.0 4.0
INFO : SFind2D_AT.py : 13:29:59.893 +47.13.17.41 60.28 87.17 7.5 36.2 88.947 11.312 152.0 7.1
INFO : SFind2D_AT.py : 13:29:43.958 +47.10.27.46 86.27 59.98 3.51 8.35 18.138 13.966 87.3 3.3
INFO : SFind2D_AT.py : 13:29:48.127 +47.09.42.64 79.47 52.81 7.34 9.19 31.988 9.405 135.9 6.9
INFO : SFind2D_AT.py : 13:29:46.589 +47.12.16.53 81.97 77.43 2.08 24.4 31.250 31.250 180.0 2.0
INFO : SFind2D_AT.py : 13:30:00.462 +47.13.07.61 59.35 85.60 5.53 27.5 68.299 11.999 153.9 5.2
INFO : SFind2D_AT.py : 13:29:56.318 +47.13.48.93 66.11 92.21 4.87 21.6 31.250 31.250 0.0 4.6
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 4.31997000e-01 4.36908960e-01 1.53904688e+03 2.77714844e+02]
REGRESSION : CONTFLUX: 13 1366.51
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 14.4 arcsec , Minor axis: 14.4 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 2.99401000e-01 3.18737030e-01 1.53904688e+03 2.77718750e+02]
TIMING : SFind2D END [ 1.519045 1.56716418]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.255295 14.79924583]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.2553 14.7992 ]
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 [ 1.03076670e+01 1.64394405e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[22, 74, 289],4.010004
TIMING : CubeSpectrum CubeStats-pos [ 4.82880000e-02 4.84299660e-02 1.53904688e+03 2.77718750e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[76, 70],40.714703
TIMING : CubeSpectrum Moment-pos [ 4.28810000e-02 4.30161953e-02 1.53904688e+03 2.77718750e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m50.871s', '+47d11m17.27s'),18.387573
TIMING : CubeSpectrum SourceList-pos [ 3.59020000e-02 3.59919071e-02 1.53904688e+03 2.77718750e+02]
TIMING : CubeSpectrum open [ 1.22300000e-02 1.22649670e-02 1.53904688e+03 2.77718750e+02]
TIMING : CubeSpectrum imval [ 4.94120000e-02 4.96380329e-02 1.53904688e+03 2.78191406e+02]
TIMING : CubeSpectrum imhead [ 4.18990000e-02 4.20479774e-02 1.53904688e+03 2.78191406e+02]
TIMING : CubeSpectrum imval [ 2.50066000e-01 2.68901110e-01 1.53904688e+03 2.78230469e+02]
TIMING : CubeSpectrum imval [ 2.79093000e-01 2.97951937e-01 1.53904688e+03 2.78292969e+02]
REGRESSION : CSP: [0.84380042552947998, 4.0100035667419434, 1.1241528987884521]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.86455000e-01 3.05396080e-01 1.53904688e+03 2.78292969e+02]
TIMING : CubeSpectrum summary [ 1.22980000e-02 1.23269558e-02 1.53904688e+03 2.78292969e+02]
TIMING : CubeSpectrum END [ 1.070614 1.12809014]
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 [ 1.14381220e+01 1.64394406e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42070000e-02 2.42829323e-02 1.53904688e+03 2.78292969e+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 [ 12.986646 13.01753807 1539.046875 278.703125 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [264, 302]
WARNING : specutil.py : 0 [282, 321]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 3.554895 3.56338596 1539.046875 278.703125 ]
INFO : LineSegment_AT.py : Segment Coverage 58 / 590 = 0.0983051
REGRESSION : LINESEG: [[115.06681176471233, 115.08165551571781], [115.07384301518861, 115.08907739122057]]
TIMING : LineSegment done [ 2.282429 2.41247892 1555.80859375 295.30078125]
TIMING : LineSegment END [ 18.86053 19.03006887]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 28.461891 35.33977699]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.4619 35.3398 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 28.558751 35.49661398]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.5588 35.4966 ]
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 [ 3.06345020e+01 1.64394407e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 500.59 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 500.589
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 7.968051 7.98719382 1555.80859375 295.359375 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.14515 5.15729117 1555.80859375 295.359375 ]
TIMING : LineID segment finder [ 1.44230000e-02 1.44679546e-02 1.55580859e+03 2.95359375e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [264, 302]
WARNING : specutil.py : 0 [282, 321]
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 264 - 321
REGRESSION : LINEID: CO 115.27120 264 321
INFO : LineID_AT.py : Line Coverage 58 / 590 = 0.0983051
TIMING : LineID done [ 15.76993 15.98250699 1656.34375 395.94921875]
TIMING : LineID END [ 28.911524 29.15546584]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 57.786506 65.05607581]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 57.7865 65.0561 ]
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 [ 5.98149450e+01 1.64394410e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.13818000e-01 1.14444971e-01 1.60690234e+03 3.46671875e+02]
TIMING : LineCube pad [ 1.31270000e-02 1.31671429e-02 1.60690234e+03 3.46671875e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.80920000e-02 1.59436941e-01 1.60690234e+03 3.46792969e+02]
REGRESSION : LC: [259, 326]
TIMING : LineCube done [ 2.49090000e-02 2.49810219e-02 1.60690234e+03 3.46792969e+02]
TIMING : LineCube END [ 0.242369 0.32449198]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 58.196319 65.60564089]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 58.1963 65.6056 ]
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 [ 6.03229190e+01 1.64394410e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.87810000e-02 4.89189625e-02 1.60690234e+03 3.46792969e+02]
TIMING : Moment immoments-0 [ 1.55633000e-01 2.08220005e-01 1.62661328e+03 3.66378906e+02]
TIMING : Moment mom0clip [ 7.05060000e-02 1.23656034e-01 1.62661328e+03 3.66531250e+02]
TIMING : Moment implot [ 9.50650000e-02 3.55758905e-01 1.62661328e+03 3.66531250e+02]
TIMING : Moment getdata [ 2.06060000e-02 2.06861496e-02 1.62661328e+03 3.66531250e+02]
TIMING : Moment ren+mask_0 [ 3.05218000e-01 3.09908867e-01 1.63207812e+03 3.71996094e+02]
TIMING : Moment done [ 1.47810000e-02 1.48260593e-02 1.63207812e+03 3.71996094e+02]
TIMING : Moment END [ 0.722871 1.09431887]
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 [ 6.11061660e+01 1.64394411e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.83430000e-02 4.84590530e-02 1.63182812e+03 3.71746094e+02]
TIMING : Moment immoments-all [ 8.54630000e-02 2.28818893e-01 1.63182812e+03 3.71746094e+02]
TIMING : Moment mom0clip [ 6.93930000e-02 1.37376070e-01 1.63182812e+03 3.71746094e+02]
TIMING : Moment implot [ 9.35160000e-02 3.86755943e-01 1.63182812e+03 3.71746094e+02]
TIMING : Moment getdata [ 2.04830000e-02 2.05621719e-02 1.63182812e+03 3.71746094e+02]
TIMING : Moment ren+mask_0 [ 2.53142000e-01 2.57553816e-01 1.63182812e+03 3.71746094e+02]
TIMING : Moment makemask [ 1.52385000e-01 4.57588196e-01 1.63182812e+03 3.72019531e+02]
TIMING : Moment implot [ 7.71320000e-02 3.22341919e-01 1.63182812e+03 3.72019531e+02]
TIMING : Moment getdata [ 2.02650000e-02 2.03390121e-02 1.63182812e+03 3.72019531e+02]
TIMING : Moment ren+mask_1 [ 2.48992000e-01 2.53502846e-01 1.63157812e+03 3.72343750e+02]
TIMING : Moment makemask [ 1.55162000e-01 4.29092169e-01 1.63157812e+03 3.72343750e+02]
TIMING : Moment implot [ 7.66920000e-02 3.04535866e-01 1.63157812e+03 3.72343750e+02]
TIMING : Moment getdata [ 2.03520000e-02 2.04260349e-02 1.63157812e+03 3.72343750e+02]
TIMING : Moment ren+mask_2 [ 2.45967000e-01 2.50333071e-01 1.63157812e+03 3.72343750e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 4578.49 2381.39 0.0256 508.147 508.147 13.2975
TIMING : Moment mom0flux [ 5.19320000e-02 5.23779392e-02 1.63157812e+03 3.72343750e+02]
TIMING : Moment flux-spectrum [ 3.08385000e-01 3.13251972e-01 1.63132812e+03 3.72093750e+02]
TIMING : Moment done [ 1.46770000e-02 1.47290230e-02 1.63132812e+03 3.72093750e+02]
TIMING : Moment END [ 1.954617 3.53044105]
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 [ 6.31689710e+01 1.64394411e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[76, 69],43.224056
TIMING : CubeSpectrum Moment-pos [ 5.46110000e-02 5.47618866e-02 1.63132812e+03 3.72093750e+02]
TIMING : CubeSpectrum open [ 1.23160000e-02 1.23531818e-02 1.63132812e+03 3.72093750e+02]
TIMING : CubeSpectrum imval [ 3.65410000e-02 3.67269516e-02 1.63132812e+03 3.72093750e+02]
TIMING : CubeSpectrum imhead [ 4.19440000e-02 4.21078205e-02 1.63132812e+03 3.72093750e+02]
REGRESSION : CSP: [1.1849629878997803]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.94012000e-01 2.98829079e-01 1.63132812e+03 3.72093750e+02]
TIMING : CubeSpectrum summary [ 1.24940000e-02 1.25291348e-02 1.63132812e+03 3.72093750e+02]
TIMING : CubeSpectrum END [ 0.464208 0.46963286]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp