INFO : AT.py : Setting {'basename': 'x', 'file': 'IRC+10216_95125.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 : IRC+10216_95125.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 [ 3.27746500e+00 1.64743884e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: IRC+10216 SHAPE: [219 219 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 8.60296000e-01 8.68757963e-01 1.19035938e+03 2.05609375e+02]
TIMING : Ingest importfits [ 6.67296000e-01 8.43776941e-01 1.20275000e+03 2.19257812e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 3.60892000e-01 4.97467041e-01 1.19162500e+03 2.08882812e+02]
TIMING : Ingest summary-0 [ 2.74970000e-02 2.80959606e-02 1.19162500e+03 2.08882812e+02]
TIMING : Ingest mask [ 3.47804000e-01 4.02905941e-01 1.19175391e+03 2.09679688e+02]
TIMING : Ingest summary-1 [ 2.68810000e-02 4.90081310e-02 1.19175391e+03 2.09679688e+02]
TIMING : Ingest statistics [ 3.90830000e-01 3.90827894e-01 1.19211328e+03 2.10218750e+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: [219 219 689 1] 12129845 -2.475435 8.148375
INFO : Ingest_AT.py : S/N (all data): 61.889010
INFO : Ingest_AT.py : GOOD PIXELS: 12129845/33045129 (36.706908% good or 63.293092% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -2.47543 8.14837 0.131661 219 219 689 63.293092
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: IRC+10216
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 0.000000 -5.500001 109.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 5.500001 109.000000
INFO : Ingest_AT.py : VLSRv = -26.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz = -25.833333 +/- 0.623610 3 values: [-25. -26. -26.5]
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.147 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.281198 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -25.992024 VLSRf= 0.000000 VLSRv= -26.000000 VLSRz= -25.833333 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = -26.000000 errs = 0.623610 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 1.405595 1.41763711 1194.86328125 213.53515625]
TIMING : Ingest END [ 4.111569 4.52295494]
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 [ 7.51048700e+00 1.64743884e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 1.00301000e-01 1.00302219e-01 1.19387500e+03 2.13171875e+02]
TIMING : CubeStats start [ 2.54130000e-02 2.54108906e-02 1.19387500e+03 2.13171875e+02]
TIMING : CubeStats imstat0 [ 2.208491 2.20850706 1225.2265625 245.0078125 ]
TIMING : CubeStats imstat1 [ 1.981825 1.98184299 1243.45703125 263.2421875 ]
INFO : CubeStats_AT.py : sigma varies from 0.104370 to 0.146647; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 2.828187 2.82819796 1243.45703125 263.24609375]
INFO : CubeStats_AT.py : CubeMax: 8.148375 @ [109 109 333 0]
INFO : CubeStats_AT.py : CubeMin: -2.475435 @ [ 42 68 470 0]
INFO : CubeStats_AT.py : CubeRMS: 0.112357
INFO : CubeStats_AT.py : RMS Sanity check 1.171807
REGRESSION : CST: 0.112357 1.171807
INFO : CubeStats_AT.py : mean,rms,S/N=0.003884 0.112357 72.521982
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 4.111611 2.179642
TIMING : CubeStats plotting [ 4.267865 215.36088109 1255.78125 271.7890625 ]
TIMING : CubeStats done [ 2.42690000e-02 2.42879391e-02 1.25578125e+03 2.71789062e+02]
TIMING : CubeStats summary [ 2.67190000e-02 2.67179012e-02 1.25578125e+03 2.71789062e+02]
TIMING : CubeStats END [ 11.486984 222.5800631]
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 [ 1.91207270e+01 1.64743907e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.112357
TIMING : CubeSum start [ 1.00262000e-01 1.00261927e-01 1.25578125e+03 2.71789062e+02]
TIMING : CubeSum immoments [ 1.264294 1.48160815 1255.78125 271.7890625 ]
TIMING : CubeSum statistics [ 3.73890000e-02 3.73878479e-02 1.25578125e+03 2.71789062e+02]
INFO : CubeSum_AT.py : Total flux: 1064763.456746 (sum=35198.781719)
REGRESSION : CSM: [1064763.4567456527, 35198.781718887636]
TIMING : CubeSum implot [ 2.61287000e-01 6.32512498e+00 1.32778516e+03 2.72261719e+02]
TIMING : CubeSum getdata [ 3.64750000e-02 3.78019810e-02 1.32778516e+03 2.72261719e+02]
TIMING : CubeSum done [ 4.50830000e-01 2.36960011e+01 1.32778516e+03 2.72265625e+02]
TIMING : CubeSum END [ 2.176239 31.70388603]
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 [ 2.14152430e+01 1.64743910e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 6.02140000e-02 6.02140427e-02 1.32778516e+03 2.72265625e+02]
TIMING : SFind2D imstat [ 8.21490000e-02 8.21490288e-02 1.32778516e+03 2.72265625e+02]
INFO : AT.py : Setting 'sigma' = 9.18716388648 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 9.18716 -10.5606 206.905 35 0.177611
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.80910000e-01 2.35989094e-01 1.32778516e+03 2.72265625e+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 : 00:00:00.137 -00.00.01.68 108.63 108.69 183 1.85e+03 43.125 42.322 72.5 19.9
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.64719000e-01 2.87036896e-01 1.32778516e+03 2.72265625e+02]
REGRESSION : CONTFLUX: 1 1845.94
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 [ 4.84445000e-01 2.36861210e+01 1.32778516e+03 2.72886719e+02]
TIMING : SFind2D END [ 1.09743 24.37649918]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 19.941709 284.31032205]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 19.9417 284.31 ]
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 [ 2.29221000e+01 1.64743912e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[109, 109, 333],8.148375
TIMING : CubeSpectrum CubeStats-pos [ 9.66550000e-02 9.78188515e-02 1.32778516e+03 2.72886719e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[109, 109],206.904739
TIMING : CubeSpectrum Moment-pos [ 8.35250000e-02 8.45229626e-02 1.32778516e+03 2.72886719e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.137s', '-00d00m01.68s'),182.601898
TIMING : CubeSpectrum SourceList-pos [ 7.57230000e-02 7.57231712e-02 1.32778516e+03 2.72886719e+02]
TIMING : CubeSpectrum open [ 2.78820000e-02 2.78828144e-02 1.32778516e+03 2.72886719e+02]
TIMING : CubeSpectrum imval [ 7.07840000e-02 7.07831383e-02 1.32778516e+03 2.73238281e+02]
TIMING : CubeSpectrum imhead [ 7.84940000e-02 7.85019398e-02 1.32778516e+03 2.73238281e+02]
TIMING : CubeSpectrum imval [ 4.19867000e-01 2.36118870e+01 1.32778516e+03 2.73238281e+02]
REGRESSION : CSP: [8.1483745574951172, 8.1483745574951172]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 5.27010000e-01 2.37692561e+01 1.32778516e+03 2.73300781e+02]
TIMING : CubeSpectrum summary [ 2.37910000e-02 2.37908363e-02 1.32778516e+03 2.73300781e+02]
TIMING : CubeSpectrum END [ 1.426945 47.86338091]
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 [ 2.44659290e+01 1.64743917e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 4.85600000e-02 4.85599041e-02 1.32778516e+03 2.73300781e+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 [ 24.254906 24.25804901 1327.78515625 273.30078125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [330, 359]
WARNING : specutil.py : 1 [616, 620]
WARNING : specutil.py : 2 [638, 643]
WARNING : specutil.py : 0 [330, 359]
WARNING : specutil.py : 1 [616, 620]
WARNING : specutil.py : 2 [638, 643]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [331, 357]
TIMING : LineSegment segment finder [ 6.963804 6.96128702 1327.78515625 273.30078125]
INFO : LineSegment_AT.py : Segment Coverage 41 / 689 = 0.0595065
REGRESSION : LINESEG: [[115.2761198949221, 115.28627614561007], [115.27572926989565, 115.287057395663], [115.38744802746334, 115.38901052756917], [115.39604177804546, 115.39799490317776], [115.27572926989565, 115.287057395663], [115.38744802746334, 115.38901052756917], [115.39604177804546, 115.39799490317776]]
TIMING : LineSegment done [ 3.509278 119.28186703 1339.1015625 284.9453125 ]
TIMING : LineSegment END [ 34.800901 150.57411504]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 56.692754 483.299371]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 56.6928 483.299 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 56.884331 483.51780915]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 56.8843 483.518 ]
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 [ 5.99212550e+01 1.64743932e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = -26.00 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -26
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 13.806855 13.80800986 1339.1015625 285.15625 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.881991 10.882056 1339.1015625 285.15625 ]
TIMING : LineID segment finder [ 2.66320000e-02 2.66320705e-02 1.33910156e+03 2.85156250e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [330, 359]
WARNING : specutil.py : 1 [616, 620]
WARNING : specutil.py : 2 [638, 643]
WARNING : specutil.py : 0 [330, 359]
WARNING : specutil.py : 1 [616, 620]
WARNING : specutil.py : 2 [638, 643]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [331, 357]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 330 - 359
REGRESSION : LINEID: CO 115.27120 330 359
INFO : LineID_AT.py : Found line: U_115.3778 @ 115.377832318GHz, channels 616 - 620
REGRESSION : LINEID: U_115.3778 115.37783 616 620
INFO : LineID_AT.py : Found line: U_115.3876 @ 115.387597097GHz, channels 638 - 643
REGRESSION : LINEID: U_115.3876 115.38760 638 643
INFO : LineID_AT.py : Line Coverage 41 / 689 = 0.0595065
TIMING : LineID done [ 27.806275 36.84171605 1446.11328125 393.27734375]
TIMING : LineID END [ 52.54721 61.58386803]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 110.050867 545.75183606]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 110.051 545.752 ]
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 [ 1.13007449e+02 1.64743938e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 3.99240000e-01 3.99239063e-01 1.39667578e+03 3.44132812e+02]
TIMING : LineCube pad [ 2.55330000e-02 2.55320072e-02 1.39667578e+03 3.44132812e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 1.47003000e-01 4.36213017e-01 1.39667578e+03 3.44257812e+02]
TIMING : LineCube trans-x.U_115.3778 [ 1.32138000e-01 4.21426058e-01 1.39667578e+03 3.44378906e+02]
TIMING : LineCube trans-x.U_115.3876 [ 1.43898000e-01 4.10827875e-01 1.39667578e+03 3.44378906e+02]
REGRESSION : LC: [325, 364, 611, 625, 633, 648]
TIMING : LineCube done [ 5.93030000e-02 6.02631569e-02 1.39667578e+03 3.44378906e+02]
TIMING : LineCube END [ 0.931124 1.77776814]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.U_115.3778/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.U_115.3876/lc.im
TIMING : ADMITrun END [ 111.436765 548.02094817]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 111.437 548.021 ]
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 '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 - '@3' (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 [ 1.14769016e+02 1.64743939e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 1.01260000e-01 1.02676153e-01 1.39667578e+03 3.44378906e+02]
TIMING : Moment immoments-0 [ 1.31467100e+00 1.49533200e+00 1.41538281e+03 3.62960938e+02]
TIMING : Moment mom0clip [ 1.14272000e-01 2.73917913e-01 1.41538281e+03 3.63148438e+02]
TIMING : Moment implot [ 1.69414000e-01 6.14301920e-01 1.41538281e+03 3.63207031e+02]
TIMING : Moment getdata [ 3.63550000e-02 3.63559723e-02 1.41538281e+03 3.63207031e+02]
TIMING : Moment ren+mask_0 [ 5.33752000e-01 2.44005704e+00 1.41491016e+03 3.62734375e+02]
TIMING : Moment done [ 2.82530000e-02 2.82621384e-02 1.41491016e+03 3.62734375e+02]
TIMING : Moment END [ 2.322132 5.01505804]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@3.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 [ 1.17212510e+02 1.64743939e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 9.87290000e-02 9.87298489e-02 1.41491016e+03 3.62734375e+02]
TIMING : Moment immoments-all [ 1.95274000e-01 7.05085039e-01 1.41491016e+03 3.62734375e+02]
TIMING : Moment mom0clip [ 1.16049000e-01 2.79071093e-01 1.41491016e+03 3.62734375e+02]
TIMING : Moment implot [ 1.70233000e-01 5.90230942e-01 1.41491016e+03 3.62734375e+02]
TIMING : Moment getdata [ 3.41540000e-02 3.41539383e-02 1.41491016e+03 3.62734375e+02]
TIMING : Moment ren+mask_0 [ 4.43105000e-01 2.45229912e+00 1.41466016e+03 3.62484375e+02]
TIMING : Moment makemask [ 2.28823000e-01 1.11893797e+00 1.41466016e+03 3.62484375e+02]
TIMING : Moment implot [ 1.39130000e-01 5.43463945e-01 1.41466016e+03 3.62484375e+02]
TIMING : Moment getdata [ 3.73680000e-02 3.78699303e-02 1.41466016e+03 3.62484375e+02]
TIMING : Moment ren+mask_1 [ 4.34317000e-01 2.22923207e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment makemask [ 2.39251000e-01 1.10586810e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.38910000e-01 5.11576891e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.47760000e-02 3.52199078e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_2 [ 4.41768000e-01 2.39579916e+00 1.41466016e+03 3.63457031e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 42258.8 23755.9 0.0330578 -26.8367 -26.8367 0.383219
TIMING : Moment mom0flux [ 1.14363000e-01 1.14356995e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment flux-spectrum [ 5.43622000e-01 2.40199590e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment done [ 2.56950000e-02 2.56941319e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment END [ 3.459418 14.7034359]
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 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 [ 1.20879621e+02 1.64743941e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 9.63590000e-02 9.63599682e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment immoments-all [ 1.67602000e-01 6.90574169e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment mom0clip [ 1.14192000e-01 2.76198864e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.70220000e-01 5.94984055e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.48370000e-02 3.48370075e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_0 [ 4.37496000e-01 2.23141289e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment makemask [ 2.36106000e-01 1.14222002e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.45470000e-01 5.36995173e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.27990000e-02 3.27990055e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_1 [ 4.38260000e-01 2.31087899e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment makemask [ 2.31919000e-01 1.11481500e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.48200000e-01 5.45631886e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.28840000e-02 3.28829288e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_2 [ 4.37885000e-01 2.29261422e+00 1.41466016e+03 3.63457031e+02]
REGRESSION : MOM0FLUX: x.U_115.3778 257.505 227.316 0.0330578 -28.6859 -28.6859 1.95065
TIMING : Moment mom0flux [ 1.04279000e-01 1.04289770e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment flux-spectrum [ 4.61907000e-01 2.25896001e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment done [ 2.68900000e-02 2.76441574e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment END [ 3.347858 14.35472012]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.3778/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.3778/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.3778/lc-@1.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@2' (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 [ 1.24470678e+02 1.64743942e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 1.11359000e-01 1.11359119e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment immoments-all [ 1.77005000e-01 6.96869850e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment mom0clip [ 1.12235000e-01 2.69947052e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.70977000e-01 5.97471952e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.44990000e-02 3.45120430e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_0 [ 4.52530000e-01 2.32355690e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment makemask [ 2.23100000e-01 1.06839514e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.32557000e-01 5.12825966e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.27020000e-02 3.27029228e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_1 [ 4.31490000e-01 2.36291218e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment makemask [ 2.26246000e-01 1.08222485e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment implot [ 1.31079000e-01 4.91070032e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment getdata [ 3.28450000e-02 3.28459740e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment ren+mask_2 [ 4.43363000e-01 2.29801106e+00 1.41466016e+03 3.63457031e+02]
REGRESSION : MOM0FLUX: x.U_115.3876 180.858 210.741 0.0330578 -22.3951 -22.3951 2.49483
TIMING : Moment mom0flux [ 1.17212000e-01 1.18043900e-01 1.41466016e+03 3.63457031e+02]
TIMING : Moment flux-spectrum [ 4.82479000e-01 2.27846217e+00 1.41466016e+03 3.63457031e+02]
TIMING : Moment done [ 2.74380000e-02 2.81469822e-02 1.41466016e+03 3.63457031e+02]
TIMING : Moment END [ 3.363683 14.36397409]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.3876/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.3876/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.3876/lc-@2.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 [ 1.28042059e+02 1.64743944e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[109, 109],196.263397
TIMING : CubeSpectrum Moment-pos [ 1.04406000e-01 1.04404926e-01 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum open [ 2.41600000e-02 2.41601467e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imval [ 6.00420000e-02 6.00419044e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imhead [ 7.79010000e-02 7.79011250e-02 1.41466016e+03 3.63457031e+02]
REGRESSION : CSP: [8.1483745574951172]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 4.53325000e-01 2.30435300e+00 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum summary [ 2.83880000e-02 2.83868313e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum END [ 0.776422 2.62757516]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/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 [ 1.28946706e+02 1.64743944e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[42, 68],7.291157
TIMING : CubeSpectrum Moment-pos [ 1.12049000e-01 1.12354994e-01 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum open [ 2.45510000e-02 2.45501995e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imval [ 5.94620000e-02 5.94639778e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imhead [ 8.05700000e-02 8.05678368e-02 1.41466016e+03 3.63457031e+02]
REGRESSION : CSP: [2.3769371509552002]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 4.51918000e-01 2.32280517e+00 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum summary [ 2.31770000e-02 2.31759548e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum END [ 0.779225 2.65041614]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3778/lc-@2.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@3' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.29850017e+02 1.64743944e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[108, 108],6.795091
TIMING : CubeSpectrum Moment-pos [ 1.05179000e-01 1.05179071e-01 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum open [ 2.38040000e-02 2.38029957e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imval [ 6.03450000e-02 6.03458881e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum imhead [ 8.03210000e-02 8.03310871e-02 1.41466016e+03 3.63457031e+02]
REGRESSION : CSP: [1.1003997325897217]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 4.41697000e-01 2.31314802e+00 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum summary [ 2.68890000e-02 2.68869400e-02 1.41466016e+03 3.63457031e+02]
TIMING : CubeSpectrum END [ 0.765511 2.636971]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3876/lc-@3.csp