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 [ 2.25740700e+00 1.64744825e+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 [ 4.99973000e-01 5.07391930e-01 1.41117969e+03 2.12605469e+02]
TIMING : Ingest importfits [ 3.49371000e-01 4.56708908e-01 1.41117969e+03 2.13890625e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 1.56856000e-01 1.81151152e-01 1.41225781e+03 2.15605469e+02]
TIMING : Ingest summary-0 [ 1.41740000e-02 1.43270493e-02 1.41225781e+03 2.15605469e+02]
TIMING : Ingest mask [ 1.94397000e-01 2.11612940e-01 1.41225781e+03 2.15605469e+02]
TIMING : Ingest summary-1 [ 1.44430000e-02 1.82659626e-02 1.41225781e+03 2.15605469e+02]
TIMING : Ingest statistics [ 2.54767000e-01 2.55414009e-01 1.41257031e+03 2.16773438e+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 [ 7.61367000e-01 7.67365932e-01 1.41557031e+03 2.20121094e+02]
TIMING : Ingest END [ 2.257342 2.42426586]
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 [ 4.57523800e+00 1.64744825e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.24200000e-02 5.26511669e-02 1.41498047e+03 2.19808594e+02]
TIMING : CubeStats start [ 1.25490000e-02 1.26039982e-02 1.41498047e+03 2.19808594e+02]
TIMING : CubeStats imstat0 [ 9.38241000e-01 9.41267967e-01 1.44633203e+03 2.51632812e+02]
TIMING : CubeStats imstat1 [ 1.04144300e+00 1.04484797e+00 1.46453906e+03 2.69882812e+02]
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 [ 1.33601200e+00 1.34073806e+00 1.46453906e+03 2.69886719e+02]
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 [ 2.250128 2.43036199 1474.04296875 277.609375 ]
TIMING : CubeStats done [ 1.35550000e-02 1.35869980e-02 1.47404297e+03 2.77609375e+02]
TIMING : CubeStats summary [ 1.21680000e-02 1.22148991e-02 1.47404297e+03 2.77609375e+02]
TIMING : CubeStats END [ 5.668662 5.86046004]
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 [ 1.03039330e+01 1.64744825e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.112357
TIMING : CubeSum start [ 5.18800000e-02 5.20420074e-02 1.47404297e+03 2.77609375e+02]
TIMING : CubeSum immoments [ 3.21422000e-01 5.64085960e-01 1.47404297e+03 2.77789062e+02]
TIMING : CubeSum statistics [ 2.01690000e-02 2.02469826e-02 1.47404297e+03 2.77789062e+02]
INFO : CubeSum_AT.py : Total flux: 1064763.456746 (sum=35198.781719)
REGRESSION : CSM: [1064763.4567456527, 35198.781718887636]
TIMING : CubeSum implot [ 1.42947000e-01 6.08574319e+00 1.54604688e+03 2.77816406e+02]
TIMING : CubeSum getdata [ 2.26640000e-02 2.27530003e-02 1.54604688e+03 2.77816406e+02]
TIMING : CubeSum done [ 2.36468000e-01 2.56084919e-01 1.54604688e+03 2.77882812e+02]
TIMING : CubeSum END [ 0.809186 7.01462197]
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 [ 1.11782660e+01 1.64744826e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.48690000e-02 3.49769592e-02 1.54604688e+03 2.77882812e+02]
TIMING : SFind2D imstat [ 4.37270000e-02 4.40099239e-02 1.54604688e+03 2.77882812e+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 [ 9.55920000e-02 1.38448954e-01 1.54604688e+03 2.78343750e+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 [ 1.33138000e-01 1.37109995e-01 1.54604688e+03 2.78343750e+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 [ 2.67806000e-01 2.86859035e-01 1.54604688e+03 2.78441406e+02]
TIMING : SFind2D END [ 0.58879 0.65510798]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 9.919276 16.61198807]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 9.91928 16.612 ]
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 [ 1.19792720e+01 1.64744826e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[109, 109, 333],8.148375
TIMING : CubeSpectrum CubeStats-pos [ 4.82320000e-02 4.83560562e-02 1.54604688e+03 2.78441406e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[109, 109],206.904739
TIMING : CubeSpectrum Moment-pos [ 4.36230000e-02 4.37550545e-02 1.54604688e+03 2.78441406e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.137s', '-00d00m01.68s'),182.601898
TIMING : CubeSpectrum SourceList-pos [ 3.59520000e-02 3.60720158e-02 1.54604688e+03 2.78441406e+02]
TIMING : CubeSpectrum open [ 1.21460000e-02 1.21810436e-02 1.54604688e+03 2.78441406e+02]
TIMING : CubeSpectrum imval [ 4.43430000e-02 4.45389748e-02 1.54604688e+03 2.78757812e+02]
TIMING : CubeSpectrum imhead [ 4.19290000e-02 4.20768261e-02 1.54604688e+03 2.78757812e+02]
TIMING : CubeSpectrum imval [ 2.24834000e-01 2.43538141e-01 1.54604688e+03 2.78757812e+02]
REGRESSION : CSP: [8.1483745574951172, 8.1483745574951172]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.73072000e-01 2.92023897e-01 1.54604688e+03 2.78800781e+02]
TIMING : CubeSpectrum summary [ 1.23690000e-02 1.24001503e-02 1.54604688e+03 2.78800781e+02]
TIMING : CubeSpectrum END [ 0.748638 0.78711319]
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 [ 1.27880590e+01 1.64744826e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43360000e-02 2.44009495e-02 1.54604688e+03 2.78800781e+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 [ 11.85312 11.88699293 1546.046875 279.19921875]
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 [ 3.388933 3.40151715 1546.046875 279.19921875]
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 [ 1.855057 1.95884204 1577.5 310.703125 ]
TIMING : LineSegment END [ 17.133746 17.28408694]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 28.071802 35.01070094]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.0718 35.0107 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 28.172232 35.17354393]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.1722 35.1735 ]
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 [ 3.02574730e+01 1.64744828e+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 [ 6.720041 6.73709607 1577.5 310.76953125]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.258498 5.27212811 1577.5 310.76953125]
TIMING : LineID segment finder [ 1.38170000e-02 1.38540268e-02 1.57750000e+03 3.10769531e+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 [ 15.716899 15.94483781 1665.0390625 399.65625 ]
TIMING : LineID END [ 27.724311 27.98300505]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 56.220176 63.56930494]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 56.2202 63.5693 ]
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 [ 5.82594820e+01 1.64744831e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 2.69946000e-01 2.71029949e-01 1.66503906e+03 3.99781250e+02]
TIMING : LineCube pad [ 1.54190000e-02 1.61268711e-02 1.66503906e+03 3.99781250e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 8.96400000e-02 1.97318077e-01 1.66503906e+03 3.99964844e+02]
TIMING : LineCube trans-x.U_115.3778 [ 7.95330000e-02 1.19514942e-01 1.66503906e+03 4.00015625e+02]
TIMING : LineCube trans-x.U_115.3876 [ 8.13400000e-02 1.51968956e-01 1.66503906e+03 4.00015625e+02]
REGRESSION : LC: [325, 364, 611, 625, 633, 648]
TIMING : LineCube done [ 2.49700000e-02 2.50561237e-02 1.66503906e+03 4.00015625e+02]
TIMING : LineCube END [ 0.573226 0.79342794]
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 [ 57.02155 64.66143703]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 57.0215 64.6614 ]
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 [ 5.92633380e+01 1.64744831e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.98370000e-02 4.99789715e-02 1.66503906e+03 4.00015625e+02]
TIMING : Moment immoments-0 [ 3.46515000e-01 5.13642073e-01 1.66503906e+03 4.00015625e+02]
TIMING : Moment mom0clip [ 7.34920000e-02 1.39857054e-01 1.66503906e+03 4.00148438e+02]
TIMING : Moment implot [ 1.00661000e-01 3.76227856e-01 1.66503906e+03 4.00164062e+02]
TIMING : Moment getdata [ 2.18960000e-02 2.19709873e-02 1.66503906e+03 4.00164062e+02]
TIMING : Moment ren+mask_0 [ 3.85772000e-01 3.94150019e-01 1.66353906e+03 3.98664062e+02]
TIMING : Moment done [ 1.56000000e-02 1.56540871e-02 1.66353906e+03 3.98664062e+02]
TIMING : Moment END [ 1.006189 1.52396297]
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 [ 6.03305030e+01 1.64744831e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.84740000e-02 4.86009121e-02 1.66353906e+03 3.98664062e+02]
TIMING : Moment immoments-all [ 1.06206000e-01 3.32091093e-01 1.66353906e+03 3.98664062e+02]
TIMING : Moment mom0clip [ 7.09690000e-02 1.23168945e-01 1.66353906e+03 3.98664062e+02]
TIMING : Moment implot [ 9.52770000e-02 3.78149033e-01 1.66353906e+03 3.98664062e+02]
TIMING : Moment getdata [ 2.22100000e-02 2.23009586e-02 1.66353906e+03 3.98664062e+02]
TIMING : Moment ren+mask_0 [ 2.90211000e-01 2.97056913e-01 1.66303906e+03 3.98164062e+02]
TIMING : Moment makemask [ 1.56928000e-01 6.08479023e-01 1.66303906e+03 3.98632812e+02]
TIMING : Moment implot [ 8.05740000e-02 3.33375931e-01 1.66303906e+03 3.98632812e+02]
TIMING : Moment getdata [ 2.13970000e-02 2.14791298e-02 1.66303906e+03 3.98632812e+02]
TIMING : Moment ren+mask_1 [ 3.36227000e-01 3.41114998e-01 1.66303906e+03 3.98820312e+02]
TIMING : Moment makemask [ 1.61626000e-01 4.67622042e-01 1.66303906e+03 3.98820312e+02]
TIMING : Moment implot [ 7.97630000e-02 3.09847832e-01 1.66303906e+03 3.98820312e+02]
TIMING : Moment getdata [ 2.35080000e-02 2.35950947e-02 1.66303906e+03 3.98820312e+02]
TIMING : Moment ren+mask_2 [ 3.11163000e-01 3.16370964e-01 1.66303906e+03 3.98820312e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 42258.8 23755.9 0.0330578 -26.8367 -26.8367 0.383219
TIMING : Moment mom0flux [ 5.44890000e-02 5.46741486e-02 1.66303906e+03 3.98820312e+02]
TIMING : Moment flux-spectrum [ 3.82633000e-01 3.88123989e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment done [ 1.58370000e-02 1.58889294e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment END [ 2.269867 4.09438396]
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 [ 6.27091760e+01 1.64744832e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85450000e-02 4.86540794e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment immoments-all [ 9.89340000e-02 2.66180992e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment mom0clip [ 7.14330000e-02 9.57510471e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 9.48240000e-02 3.66467953e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.28970000e-02 2.29809284e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_0 [ 2.96491000e-01 3.01309109e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment makemask [ 1.64597000e-01 6.93106890e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 8.08830000e-02 3.19168091e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.22330000e-02 2.23169327e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_1 [ 2.97312000e-01 3.02321911e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment makemask [ 1.58339000e-01 3.92222166e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 7.90600000e-02 3.07395935e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.22010000e-02 2.22699642e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_2 [ 2.92930000e-01 2.97994137e-01 1.66278906e+03 3.98570312e+02]
REGRESSION : MOM0FLUX: x.U_115.3778 257.505 227.316 0.0330578 -28.6859 -28.6859 1.95065
TIMING : Moment mom0flux [ 5.46790000e-02 5.48729897e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment flux-spectrum [ 3.14423000e-01 3.19715977e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment done [ 1.57970000e-02 1.58398151e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment END [ 2.147886 3.86093998]
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 [ 6.49657430e+01 1.64744832e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85010000e-02 4.86190319e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment immoments-all [ 9.74910000e-02 2.20243931e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment mom0clip [ 7.08000000e-02 9.53931808e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 9.40550000e-02 3.80939960e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.24810000e-02 2.25548744e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_0 [ 2.98845000e-01 3.04150105e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment makemask [ 1.58734000e-01 4.02259827e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 7.86510000e-02 3.19394112e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.22360000e-02 2.23090649e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_1 [ 2.89579000e-01 2.94708014e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment makemask [ 1.57347000e-01 4.01474953e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment implot [ 7.80740000e-02 3.07393074e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment getdata [ 2.21580000e-02 2.22349167e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment ren+mask_2 [ 2.89306000e-01 2.94543028e-01 1.66278906e+03 3.98570312e+02]
REGRESSION : MOM0FLUX: x.U_115.3876 180.858 210.741 0.0330578 -22.3951 -22.3951 2.49483
TIMING : Moment mom0flux [ 5.41150000e-02 5.42988777e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment flux-spectrum [ 3.09687000e-01 3.14766169e-01 1.66278906e+03 3.98570312e+02]
TIMING : Moment done [ 1.57740000e-02 1.58319473e-02 1.66278906e+03 3.98570312e+02]
TIMING : Moment END [ 2.120304 3.53364706]
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 [ 6.71946380e+01 1.64744832e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[109, 109],196.263397
TIMING : CubeSpectrum Moment-pos [ 5.58150000e-02 5.59709072e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum open [ 1.24540000e-02 1.24919415e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imval [ 3.70920000e-02 3.72831821e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imhead [ 4.25560000e-02 4.27160263e-02 1.66278906e+03 3.98570312e+02]
REGRESSION : CSP: [8.1483745574951172]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.81312000e-01 2.86253929e-01 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum summary [ 1.24580000e-02 1.24859810e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum END [ 0.454029 0.45958304]
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 [ 6.77095830e+01 1.64744832e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[42, 68],7.291157
TIMING : CubeSpectrum Moment-pos [ 5.64120000e-02 5.65779209e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum open [ 1.24040000e-02 1.24411583e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imval [ 3.67710000e-02 3.69548798e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imhead [ 4.23110000e-02 4.24771309e-02 1.66278906e+03 3.98570312e+02]
REGRESSION : CSP: [2.3769371509552002]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.71044000e-01 2.75804996e-01 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum summary [ 1.25500000e-02 1.25968456e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum END [ 0.443822 0.44921589]
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 [ 6.82139270e+01 1.64744832e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[108, 108],6.795091
TIMING : CubeSpectrum Moment-pos [ 5.58590000e-02 5.60190678e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum open [ 1.23330000e-02 1.23670101e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imval [ 3.64280000e-02 3.66249084e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum imhead [ 4.21950000e-02 4.23622131e-02 1.66278906e+03 3.98570312e+02]
REGRESSION : CSP: [1.1003997325897217]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.69483000e-01 2.74472952e-01 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum summary [ 1.24920000e-02 1.25808716e-02 1.66278906e+03 3.98570312e+02]
TIMING : CubeSpectrum END [ 0.441144 0.44682002]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3876/lc-@3.csp