INFO : AT.py : Setting {'basename': 'x', 'file': 'W-Hya_93231_0.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 : W-Hya_93231_0.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 [ 2.23999600e+00 1.64394099e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: W-Hya SHAPE: [ 81 81 1379]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.33618000e-01 2.40031004e-01 1.41113672e+03 2.17289062e+02]
TIMING : Ingest importfits [ 1.65620000e-01 2.29859114e-01 1.41113672e+03 2.18714844e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 7.12360000e-02 1.00524902e-01 1.41113672e+03 2.19554688e+02]
TIMING : Ingest summary-0 [ 1.42640000e-02 1.43530369e-02 1.41113672e+03 2.19554688e+02]
TIMING : Ingest mask [ 5.81530000e-02 7.27150440e-02 1.41113672e+03 2.19554688e+02]
TIMING : Ingest summary-1 [ 1.35440000e-02 3.23739052e-02 1.41113672e+03 2.19554688e+02]
TIMING : Ingest statistics [ 4.44200000e-02 4.45520878e-02 1.41113672e+03 2.20578125e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 6.9000012, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 6.9000012, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 81 81 1379 1] 1071483 -1.489022 2.783515
INFO : Ingest_AT.py : S/N (all data): 17.002727
INFO : Ingest_AT.py : GOOD PIXELS: 1071483/9047619 (11.842707% good or 88.157293% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -1.48902 2.78352 0.16371 81 81 1379 88.157293
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: W-Hya
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 0.000000 -3.000000 40.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 3.000000 40.000000
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: 230.776 -0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=0.507970 km/s @ fc=230.506667 fw=-0.538672 GHz
INFO : Ingest_AT.py : RESTFREQ: 230.538 230.538 -1
INFO : Ingest_AT.py : VLSRc= 40.746068 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 700.490906
INFO : Ingest_AT.py : VLSR = 40.746068 errs = 0.000000 0.000000 0.000000 width = 0.507970
TIMING : Ingest done [ 5.68291000e-01 5.94938040e-01 1.41512500e+03 2.24914062e+02]
TIMING : Ingest END [ 1.18129 1.34152293]
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 [ 3.48241800e+00 1.64394099e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.75800000e-02 5.78219891e-02 1.41387500e+03 2.24191406e+02]
TIMING : CubeStats start [ 1.26910000e-02 1.27320290e-02 1.41387500e+03 2.24191406e+02]
TIMING : CubeStats imstat0 [ 1.43430000e-01 1.43865108e-01 1.41373828e+03 2.24636719e+02]
TIMING : CubeStats imstat1 [ 2.94117000e-01 2.94954062e-01 1.45823047e+03 2.69312500e+02]
INFO : CubeStats_AT.py : sigma varies from 0.071626 to 0.255730; 1379/1379 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.143252 (3.57035 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 1.585759 1.59159493 1458.23046875 269.3125 ]
INFO : CubeStats_AT.py : CubeMax: 2.783515 @ [ 41 49 688 0]
INFO : CubeStats_AT.py : CubeMin: -1.489022 @ [38 72 4 0]
INFO : CubeStats_AT.py : CubeRMS: 0.154706
INFO : CubeStats_AT.py : RMS Sanity check 1.058200
REGRESSION : CST: 0.154706 1.058200
INFO : CubeStats_AT.py : mean,rms,S/N=0.001940 0.154706 17.992281
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 0.820002 0.529815
TIMING : CubeStats plotting [ 2.328357 2.49864507 1467.984375 277.30078125]
TIMING : CubeStats done [ 1.35260000e-02 1.35648251e-02 1.46798438e+03 2.77300781e+02]
TIMING : CubeStats summary [ 1.22210000e-02 1.22680664e-02 1.46798438e+03 2.77300781e+02]
TIMING : CubeStats END [ 4.459853 4.63765812]
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 [ 8.00216600e+00 1.64394100e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.154706
TIMING : CubeSum start [ 5.23270000e-02 5.24990559e-02 1.46798438e+03 2.77300781e+02]
TIMING : CubeSum immoments [ 1.20252000e-01 2.83983946e-01 1.46798438e+03 2.77746094e+02]
TIMING : CubeSum statistics [ 2.01620000e-02 2.02438831e-02 1.46798438e+03 2.77746094e+02]
INFO : CubeSum_AT.py : Total flux: -107.373363 (sum=-11.930372)
REGRESSION : CSM: [-107.37336293943326, -11.930371751077473]
TIMING : CubeSum implot [ 1.69893000e-01 6.34973216e+00 1.53998828e+03 2.77785156e+02]
TIMING : CubeSum getdata [ 3.16770000e-02 3.17778587e-02 1.53998828e+03 2.77785156e+02]
TIMING : CubeSum done [ 2.88714000e-01 3.08145046e-01 1.53998828e+03 2.77851562e+02]
TIMING : CubeSum END [ 0.697129 7.06054497]
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 [ 8.75973800e+00 1.64394101e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.41020000e-02 3.42772007e-02 1.53998828e+03 2.77851562e+02]
TIMING : SFind2D imstat [ 4.12690000e-02 4.15008068e-02 1.53998828e+03 2.77851562e+02]
INFO : AT.py : Setting 'sigma' = 0.65903369134 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.659034 -39.7263 36.2996 35 0.0726216
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.09360000e-02 1.22226000e-01 1.53998828e+03 2.78027344e+02]
REGRESSION : CONTFLUX: 0 0
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 6.9 arcsec , Minor axis: 6.9 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 2.71806000e-01 2.95084000e-01 1.53998828e+03 2.78085938e+02]
TIMING : SFind2D END [ 0.451901 0.50690913]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 7.41932 14.23855996]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.41932 14.2386 ]
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 [ 9.46434200e+00 1.64394101e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[41, 49, 688],2.783515
TIMING : CubeSpectrum CubeStats-pos [ 5.82130000e-02 5.83589077e-02 1.53998828e+03 2.78085938e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[44, 64],36.299595
TIMING : CubeSpectrum Moment-pos [ 4.43270000e-02 4.44600582e-02 1.53998828e+03 2.78085938e+02]
TIMING : CubeSpectrum open [ 1.21790000e-02 1.22148991e-02 1.53998828e+03 2.78085938e+02]
TIMING : CubeSpectrum imval [ 5.01180000e-02 5.03771305e-02 1.53998828e+03 2.78742188e+02]
TIMING : CubeSpectrum imhead [ 4.19880000e-02 4.21559811e-02 1.53998828e+03 2.78742188e+02]
TIMING : CubeSpectrum imval [ 2.69610000e-01 2.88204908e-01 1.53998828e+03 2.78843750e+02]
REGRESSION : CSP: [2.783515453338623, 1.4877701997756958]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.90558000e-01 3.09509039e-01 1.53998828e+03 2.78843750e+02]
TIMING : CubeSpectrum summary [ 1.24120000e-02 1.24459267e-02 1.53998828e+03 2.78843750e+02]
TIMING : CubeSpectrum END [ 0.791582 0.82993579]
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 [ 1.03163910e+01 1.64394101e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.44140000e-02 2.44801044e-02 1.53998828e+03 2.78843750e+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 [ 13.002557 13.03654981 1539.98828125 279.19140625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [679, 699]
WARNING : specutil.py : 0 [0, 60]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [0, 33]
WARNING : specutil.py : 1 [40, 43]
WARNING : specutil.py : 2 [680, 697]
WARNING : specutil.py : 0 [0, 28]
TIMING : LineSegment segment finder [ 3.228434 3.23689318 1539.98828125 279.19140625]
INFO : LineSegment_AT.py : Segment Coverage 82 / 1379 = 0.0594634
REGRESSION : LINESEG: [[230.7629166111586, 230.77580723671574], [230.75901036098978, 230.76018223604041], [230.50354159994839, 230.51018222523538], [230.76486973624301, 230.77580723671574], [230.50276034991461, 230.51057285025229], [230.75236973570276, 230.77580723671574]]
TIMING : LineSegment done [ 2.170756 2.2811749 1568.06640625 307.19140625]
TIMING : LineSegment END [ 18.438568 18.591537]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 26.950732 34.01343203]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 26.9507 34.0134 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 27.050761 34.16893196]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.0508 34.1689 ]
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 [ 2.91204810e+01 1.64394103e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 40.75 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 40.7461
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 5.847185 5.86190891 1568.06640625 307.19921875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 7.307291 7.32567191 1568.06640625 307.19921875]
TIMING : LineID segment finder [ 1.50940000e-02 1.51340961e-02 1.56806641e+03 3.07199219e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [679, 699]
WARNING : specutil.py : 0 [0, 60]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [0, 33]
WARNING : specutil.py : 1 [40, 43]
WARNING : specutil.py : 2 [680, 697]
WARNING : specutil.py : 0 [0, 28]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 2-1 @ 230.538GHz, channels 679 - 699
REGRESSION : LINEID: CO 230.53800 679 699
INFO : LineID_AT.py : Found line: H2NCH2CN 16(5,11)-16(4,12) @ 230.79742GHz, channels 0 - 60
REGRESSION : LINEID: H2NCH2CN 230.79742 0 60
INFO : LineID_AT.py : Line Coverage 82 / 1379 = 0.0594634
TIMING : LineID done [ 15.938676 16.17301202 1668.4140625 408.70703125]
TIMING : LineID END [ 29.123502 29.39101887]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 56.602254 64.05316901]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 56.6023 64.0532 ]
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 [ 5.86275620e+01 1.64394106e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.42260000e-02 6.47649765e-02 1.62313281e+03 3.63503906e+02]
TIMING : LineCube pad [ 1.34180000e-02 1.34589672e-02 1.62313281e+03 3.63503906e+02]
TIMING : LineCube trans-x.CO_230.53800 [ 7.46890000e-02 1.86520100e-01 1.62313281e+03 3.63566406e+02]
WARNING : LineCube_AT.py : pad=5 too large, start=-5 resetting to 0
TIMING : LineCube trans-x.H2NCH2CN_230.79742 [ 9.85230000e-02 4.55888033e-01 1.62313281e+03 3.63566406e+02]
REGRESSION : LC: [674, 704, 0, 65]
TIMING : LineCube done [ 2.48520000e-02 2.49149799e-02 1.62313281e+03 3.63566406e+02]
TIMING : LineCube END [ 0.288026 0.7579 ]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_230.53800/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.H2NCH2CN_230.79742/lc.im
TIMING : ADMITrun END [ 57.095015 65.09293604]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 57.095 65.0929 ]
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 '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 - '@2' (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 [ 5.92640720e+01 1.64394106e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.94280000e-02 4.95457649e-02 1.62313281e+03 3.63566406e+02]
TIMING : Moment immoments-0 [ 1.29042000e-01 1.88088179e-01 1.63389062e+03 3.74324219e+02]
TIMING : Moment mom0clip [ 6.95310000e-02 1.24019861e-01 1.63389062e+03 3.74476562e+02]
TIMING : Moment implot [ 9.90300000e-02 3.38202000e-01 1.63389062e+03 3.74476562e+02]
TIMING : Moment getdata [ 2.24810000e-02 2.25601196e-02 1.63389062e+03 3.74476562e+02]
TIMING : Moment ren+mask_0 [ 5.00698000e-01 5.09245872e-01 1.63601172e+03 3.76597656e+02]
TIMING : Moment done [ 1.64550000e-02 1.64990425e-02 1.63601172e+03 3.76597656e+02]
TIMING : Moment END [ 0.899154 1.2607038]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@2.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 [ 6.02241580e+01 1.64394106e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85490000e-02 4.86650467e-02 1.63601172e+03 3.76597656e+02]
TIMING : Moment immoments-all [ 7.08470000e-02 2.52609968e-01 1.63601172e+03 3.76597656e+02]
TIMING : Moment mom0clip [ 6.96020000e-02 1.51921988e-01 1.63601172e+03 3.76597656e+02]
TIMING : Moment implot [ 9.87780000e-02 3.47354889e-01 1.63601172e+03 3.76597656e+02]
TIMING : Moment getdata [ 2.81490000e-02 2.82571316e-02 1.63601172e+03 3.76597656e+02]
TIMING : Moment ren+mask_0 [ 3.44935000e-01 3.49473953e-01 1.63601172e+03 3.76597656e+02]
TIMING : Moment makemask [ 1.52765000e-01 7.34120131e-01 1.63601172e+03 3.77238281e+02]
TIMING : Moment implot [ 8.25010000e-02 3.20882797e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment getdata [ 2.18460000e-02 2.19221115e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment ren+mask_1 [ 3.02870000e-01 3.08063984e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment makemask [ 1.57172000e-01 4.96177912e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment implot [ 8.20550000e-02 3.08596134e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment getdata [ 2.18230000e-02 2.19018459e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment ren+mask_2 [ 3.04248000e-01 3.09207201e-01 1.63601172e+03 3.77328125e+02]
REGRESSION : MOM0FLUX: x.CO_230.53800 730.995 343.548 0.111111 39.9185 39.9185 0.66235
TIMING : Moment mom0flux [ 5.23950000e-02 5.30378819e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment flux-spectrum [ 3.31206000e-01 3.36648941e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment done [ 1.65660000e-02 1.66170597e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment END [ 2.198712 4.11793399]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_230.53800/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_230.53800/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_230.53800/lc.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@1' (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 [ 6.25318280e+01 1.64394106e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85360000e-02 4.86481190e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment immoments-all [ 7.26640000e-02 2.04943895e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment mom0clip [ 6.96890000e-02 1.24480009e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment implot [ 9.65070000e-02 3.29553127e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment getdata [ 2.18560000e-02 2.19318867e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment ren+mask_0 [ 2.90303000e-01 2.95135975e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment makemask [ 1.55318000e-01 5.00236034e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment implot [ 8.50170000e-02 3.10328007e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment getdata [ 2.14910000e-02 2.15661526e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment ren+mask_1 [ 3.12408000e-01 3.16857815e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment makemask [ 1.52985000e-01 4.80935097e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment implot [ 8.11940000e-02 3.10870886e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment getdata [ 2.18950000e-02 2.19781399e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment ren+mask_2 [ 3.17532000e-01 3.22016001e-01 1.63601172e+03 3.77328125e+02]
REGRESSION : MOM0FLUX: x.H2NCH2CN_230.79742 -109.28 141.981 0.111111 42.9213 42.9213 0.245618
TIMING : Moment mom0flux [ 5.25070000e-02 5.26640415e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment flux-spectrum [ 3.34582000e-01 3.39637995e-01 1.63601172e+03 3.77328125e+02]
TIMING : Moment done [ 1.59480000e-02 1.59959793e-02 1.63601172e+03 3.77328125e+02]
TIMING : Moment END [ 2.162815 3.73021317]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.H2NCH2CN_230.79742/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.H2NCH2CN_230.79742/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.H2NCH2CN_230.79742/lc-@1.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 [ 6.48233870e+01 1.64394107e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[41, 49],22.436716
TIMING : CubeSpectrum Moment-pos [ 6.15990000e-02 6.17887974e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum open [ 1.26150000e-02 1.26500130e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum imval [ 3.88090000e-02 3.90181541e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum imhead [ 4.27630000e-02 4.29389477e-02 1.63601172e+03 3.77328125e+02]
REGRESSION : CSP: [2.783515453338623]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.03197000e-01 3.08434010e-01 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum summary [ 1.25110000e-02 1.25470161e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum END [ 0.483727 0.48964286]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_230.53800/lc-@1.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@2' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 6.53675950e+01 1.64394107e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[44, 64],34.591694
TIMING : CubeSpectrum Moment-pos [ 5.52990000e-02 5.54630756e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum open [ 1.23760000e-02 1.24118328e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum imval [ 3.67110000e-02 3.69000435e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum imhead [ 4.22920000e-02 4.24549580e-02 1.63601172e+03 3.77328125e+02]
REGRESSION : CSP: [1.4877701997756958]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.59209000e-01 2.63945103e-01 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum summary [ 1.25990000e-02 1.26299858e-02 1.63601172e+03 3.77328125e+02]
TIMING : CubeSpectrum END [ 0.430892 0.43624902]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.H2NCH2CN_230.79742/lc-@2.csp