INFO : AT.py : Setting {'basename': 'x', 'file': 'M31_85824.fits'} for Ingest_AT
INFO : AT.py : Setting 'vlsr' = -296.0 for Ingest_AT
INFO : AT.py : Setting 'box' = [20, 20, 70, 70] 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 - '' (V1.2.6)
INFO :
INFO :
INFO : Run using the following settings:
INFO : box : [20, 20, 70, 70]
INFO : file : M31_85824.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -296.0
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 1.27755800e+00 1.60824716e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.37092000e-01 1.42786980e-01 1.09025000e+03 2.15175781e+02]
TIMING : Ingest importfits [ 1.08544000e-01 1.17007017e-01 1.09074219e+03 2.16457031e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.37720000e-02 7.61759281e-02 1.09841797e+03 2.24929688e+02]
TIMING : Ingest summary-0 [ 1.13120000e-02 1.13680363e-02 1.09841797e+03 2.24929688e+02]
WARNING : Ingest_AT.py : no extra mask created because input image already had one
INFO : Ingest_AT.py : box=[20, 20, 70, 70] edge=[] processing with SHAPE: [ 91 91 689 1]
INFO : Ingest_AT.py : SUBIMAGE
TIMING : Ingest subimage-1 [ 9.61560000e-02 1.06927872e-01 1.09841797e+03 2.24929688e+02]
TIMING : Ingest summary-1 [ 1.14880000e-02 1.15530491e-02 1.09841797e+03 2.24929688e+02]
TIMING : Ingest statistics [ 1.97380000e-02 1.97560787e-02 1.14548047e+03 2.32875000e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 11.000001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 11.000001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 51 51 689 1] 1792089 -0.813383 1.677056
INFO : Ingest_AT.py : S/N (all data): 11.561001
INFO : Ingest_AT.py : GOOD PIXELS: 1792089/1792089 (100.000000% good or 0.000000% bad)
REGRESSION : CUBE: -0.813383 1.67706 0.145061 51 51 689 0.000000
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: Region_J-K
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/vlsr.tab, found 229 entries
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/z.tab, found 11979 entries
INFO : Ingest_AT.py : VLSR = -296.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz: 1 values: 0.000000 +/- 0.000000 [ 0.]
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 25.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 25.000000
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.24 0.000391328 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.017749 km/s @ fc=115.374915 fw=0.269625 GHz
INFO : Ingest_AT.py : Freq Binn Axis 3: 115.24 0.000391328 0
INFO : Ingest_AT.py : Cube Binn Axis 3: type=Frequency velocity increment=-1.017749 km/s @ fc=115.374915 fw=0.269625 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -269.728346 VLSRw= -701.228730 VLSRf= 0.000000 VLSRz= 0.000000 VLSR= -296.000000
TIMING : Ingest done [ 5.92382000e-01 3.95202875e-01 1.14848047e+03 2.36328125e+02]
TIMING : Ingest END [ 1.149192 0.88948584]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : True
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 2.47245700e+00 1.60824716e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 4.12950000e-02 4.13100719e-02 1.14723047e+03 2.35320312e+02]
TIMING : CubeStats start [ 1.00260000e-02 1.00250244e-02 1.14723047e+03 2.35320312e+02]
TIMING : CubeStats imstat0 [ 2.98599000e-01 8.41929913e-02 1.62005078e+03 2.85988281e+02]
TIMING : CubeStats imstat1 [ 2.22515000e-01 5.64310551e-02 1.62005078e+03 2.85988281e+02]
INFO : CubeStats_AT.py : sigma varies from 0.121025 to 0.162029; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 6.59236000e-01 6.59251928e-01 1.62005078e+03 2.85988281e+02]
INFO : CubeStats_AT.py : CubeMax: 1.677056 @ [ 11 38 335 0]
INFO : CubeStats_AT.py : CubeMin: -0.813383 @ [ 50 0 632 0]
INFO : CubeStats_AT.py : CubeRMS: 0.140120
INFO : CubeStats_AT.py : RMS Sanity check 1.035269
REGRESSION : CST: 0.140120 1.035269
INFO : CubeStats_AT.py : mean,rms,S/N=0.003033 0.140120 11.968749
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.549284 1.404273
TIMING : CubeStats plotting [ 1.712802 1.81789994 1625.93359375 294.34765625]
TIMING : CubeStats done [ 9.80200000e-03 9.80114937e-03 1.62593359e+03 2.94347656e+02]
TIMING : CubeStats summary [ 9.47900000e-03 9.47999954e-03 1.62593359e+03 2.94347656e+02]
TIMING : CubeStats END [ 2.974396 2.69903398]
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 [ 5.48795000e+00 1.60824716e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.140120
TIMING : CubeSum start [ 3.61000000e-02 3.60989571e-02 1.62593359e+03 2.94347656e+02]
TIMING : CubeSum immoments [ 3.81030000e-02 5.18438816e-02 1.62593359e+03 2.94347656e+02]
TIMING : CubeSum statistics [ 1.43340000e-02 1.43330097e-02 1.62593359e+03 2.94347656e+02]
INFO : CubeSum_AT.py : Total flux: 45164.633479 (sum=1493.045301)
REGRESSION : CSM: [45164.633479040865, 1493.0453005038435]
TIMING : CubeSum implot [ 1.09478000e-01 5.66215301e+00 1.69793750e+03 2.94644531e+02]
TIMING : CubeSum getdata [ 1.51330000e-02 1.51331425e-02 1.69793750e+03 2.94644531e+02]
TIMING : CubeSum done [ 1.67481000e-01 1.72348022e-01 1.69793750e+03 2.94769531e+02]
TIMING : CubeSum END [ 0.390471 5.96174884]
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 [ 5.91696000e+00 1.60824717e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 2.06400000e-02 2.06420422e-02 1.69793750e+03 2.94769531e+02]
TIMING : SFind2D imstat [ 3.02570000e-02 3.02579403e-02 1.69793750e+03 2.94769531e+02]
INFO : AT.py : Setting 'sigma' = 2.25266802572 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.25267 -3.35413 19.8626 35 0.453651
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 6.77080000e-02 7.15019703e-02 1.69793750e+03 2.95414062e+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 : 00:42:39.284 +41.32.05.81 17.68 38.91 9.2 86.2 42.649 14.147 57.9 4.1
INFO : SFind2D_AT.py : 00:42:39.206 +41.32.05.58 17.84 38.87 9.2 78.1 38.088 13.456 54.6 4.1
INFO : SFind2D_AT.py : 00:42:31.854 +41.29.53.51 32.86 14.85 9.89 102 40.393 19.603 47.2 4.4
INFO : SFind2D_AT.py : 00:42:40.801 +41.32.09.94 14.59 39.66 2.39 130 74.771 25.851 101.3 1.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.44106000e-01 1.45871878e-01 1.69793750e+03 2.95414062e+02]
REGRESSION : CONTFLUX: 4 396.57
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 11 arcsec , Minor axis: 11 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 1.85998000e-01 1.90867186e-01 1.69793750e+03 2.95445312e+02]
TIMING : SFind2D END [ 0.457881 0.46831298]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 5.355092 10.42762589]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.35509 10.4276 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 6.52596000e+00 1.60824717e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[11, 38, 335],1.677056
TIMING : CubeSpectrum CubeStats-pos [ 3.48870000e-02 3.48880291e-02 1.69793750e+03 2.95445312e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 39],19.862572
TIMING : CubeSpectrum Moment-pos [ 3.28780000e-02 3.28788757e-02 1.69793750e+03 2.95445312e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m39.284s', '+41d32m05.81s'),9.198084
TIMING : CubeSpectrum SourceList-pos [ 2.69360000e-02 2.69370079e-02 1.69793750e+03 2.95445312e+02]
TIMING : CubeSpectrum open [ 1.22730000e-02 1.22730732e-02 1.69793750e+03 2.95445312e+02]
TIMING : CubeSpectrum imval [ 3.38470000e-02 3.39419842e-02 1.69793750e+03 2.95816406e+02]
TIMING : CubeSpectrum imhead [ 2.77330000e-02 2.77369022e-02 1.69793750e+03 2.95816406e+02]
TIMING : CubeSpectrum imval [ 1.69901000e-01 1.75164938e-01 1.69793750e+03 2.95816406e+02]
TIMING : CubeSpectrum imval [ 1.79142000e-01 1.83936119e-01 1.69793750e+03 2.95878906e+02]
REGRESSION : CSP: [1.2384548187255859, 1.6770560741424561, 1.3017368316650391]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.92007000e-01 1.96793079e-01 1.69793750e+03 2.95878906e+02]
TIMING : CubeSpectrum summary [ 9.36200000e-03 9.36079025e-03 1.69793750e+03 2.95878906e+02]
TIMING : CubeSpectrum END [ 0.728163 0.74310899]
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 7.29230300e+00 1.60824717e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 1.55750000e-02 1.55749321e-02 1.69793750e+03 2.95878906e+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 [ 21.094631 21.105057 1697.9375 295.94140625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.830957 2.83185196 1697.9375 295.94140625]
INFO : LineSegment_AT.py : Segment Coverage 40 / 689 = 0.0580552
REGRESSION : LINESEG: [[115.34854542052322, 115.34971888061119], [115.36536729687448, 115.38532518633713], [115.25162188353923, 115.2531838739885], [115.36732364744162, 115.37906314435865], [115.44798301144385, 115.44915849560475], [115.49502105647926, 115.49619749871705], [115.36810620624691, 115.3743670589037], [115.36693237202013, 115.37828043690178]]
TIMING : LineSegment done [ 1.66988400e+00 1.69589305e+00 1.71758984e+03 3.15945312e+02]
TIMING : LineSegment END [ 25.619983 25.65731192]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 31.901461 37.05650687]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.9015 37.0565 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 31.965226 37.15125704]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.9652 37.1513 ]
INFO : AT.py : Setting {'vlsr': -296.0} for LineID_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineID_AT
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : vlsr : -296.0
INFO : maxgap : 3
INFO : reject : []
INFO : method : {'PeakFinder': {'thresh': 0.0}}
INFO : mode : ONE
INFO :
TIMING : LineID ADMIT [ 3.31869740e+01 1.60824719e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -296
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 11.867394 11.867872 1717.58984375 315.9453125 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.198251 10.19869494 1717.58984375 315.9453125 ]
TIMING : LineID segment finder [ 1.38180000e-02 1.38189793e-02 1.71758984e+03 3.15945312e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
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: U_115.1383 @ 115.138330579GHz, channels 29 - 33
REGRESSION : LINEID: U_115.1383 115.13833 29 33
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 277 - 654
REGRESSION : LINEID: CO 115.27120 277 654
INFO : LineID_AT.py : Line Coverage 383 / 689 = 0.555878
TIMING : LineID done [ 12.695624 12.71511602 1829.42578125 428.390625 ]
TIMING : LineID END [ 34.785061 34.805475]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 67.022618 72.26047301]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 67.0226 72.2605 ]
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 [ 6.81670430e+01 1.60824723e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 4.19630000e-02 3.21538448e-02 1.79366016e+03 3.92804688e+02]
TIMING : LineCube pad [ 1.02206000e-01 1.27701759e-02 1.79366016e+03 3.92804688e+02]
TIMING : LineCube trans-x.U_115.1383 [ 4.89620000e-02 6.52298927e-02 1.79366016e+03 3.92804688e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 5.07040000e-02 6.39331341e-02 1.79366016e+03 3.92804688e+02]
REGRESSION : LC: [24, 38, 272, 659]
TIMING : LineCube done [ 1.73270000e-02 1.73258781e-02 1.79366016e+03 3.92804688e+02]
TIMING : LineCube END [ 0.269275 0.19952488]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.U_115.1383/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 67.418756 72.62364984]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 67.4188 72.6236 ]
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 [ 6.86613210e+01 1.60824723e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.34400000e-02 3.34401131e-02 1.79366016e+03 3.92804688e+02]
TIMING : Moment immoments-0 [ 4.43770000e-02 5.76038361e-02 1.79366016e+03 3.92804688e+02]
TIMING : Moment mom0clip [ 4.62320000e-02 5.59971333e-02 1.79366016e+03 3.93398438e+02]
TIMING : Moment implot [ 6.90770000e-02 2.34211922e-01 1.79366016e+03 3.93398438e+02]
TIMING : Moment getdata [ 1.38580000e-02 1.38571262e-02 1.79366016e+03 3.93398438e+02]
TIMING : Moment ren+mask_0 [ 2.25056000e-01 2.28091955e-01 1.80291797e+03 4.02656250e+02]
TIMING : Moment done [ 9.62000000e-03 9.61995125e-03 1.80291797e+03 4.02656250e+02]
TIMING : Moment END [ 0.44991 0.64107203]
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 [ 6.91509240e+01 1.60824723e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.28060000e-02 3.28049660e-02 1.80291797e+03 4.02656250e+02]
TIMING : Moment immoments-all [ 3.79580000e-02 7.07929134e-02 1.80291797e+03 4.02656250e+02]
TIMING : Moment mom0clip [ 4.29180000e-02 5.23400307e-02 1.80291797e+03 4.02656250e+02]
TIMING : Moment implot [ 6.55460000e-02 2.25347996e-01 1.80291797e+03 4.02656250e+02]
TIMING : Moment getdata [ 1.33460000e-02 1.33450031e-02 1.80291797e+03 4.02656250e+02]
TIMING : Moment ren+mask_0 [ 1.65037000e-01 1.68618917e-01 1.80216797e+03 4.01906250e+02]
TIMING : Moment makemask [ 8.00010000e-02 1.28793001e-01 1.80216797e+03 4.01906250e+02]
TIMING : Moment implot [ 5.13740000e-02 2.05089092e-01 1.80216797e+03 4.01906250e+02]
TIMING : Moment getdata [ 1.45260000e-02 1.45330429e-02 1.80216797e+03 4.01906250e+02]
TIMING : Moment ren+mask_1 [ 1.63948000e-01 1.67042971e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment makemask [ 7.80950000e-02 1.28953934e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment implot [ 5.33880000e-02 2.04437971e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment getdata [ 1.40300000e-02 1.40380859e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment ren+mask_2 [ 1.61305000e-01 1.64927006e-01 1.80216797e+03 4.02699219e+02]
REGRESSION : MOM0FLUX: x.U_115.1383 -66.7532 7.60153 0.0330578 -296.967 -296.967 2.30087
TIMING : Moment mom0flux [ 3.55720000e-02 3.55710983e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment flux-spectrum [ 2.63415000e-01 1.77159786e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment done [ 1.14300000e-02 1.14290714e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment END [ 1.292717 1.82324481]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.1383/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.1383/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.1383/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 [ 7.05151430e+01 1.60824723e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.52610000e-02 3.52609158e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment immoments-all [ 4.53650000e-02 7.95800686e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment mom0clip [ 4.38230000e-02 5.29279709e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment implot [ 6.61300000e-02 2.25203037e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment getdata [ 1.36160000e-02 1.36158466e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment ren+mask_0 [ 1.69737000e-01 1.73024178e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment makemask [ 7.70750000e-02 1.23833895e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment implot [ 5.26630000e-02 2.07725048e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment getdata [ 1.46090000e-02 1.46079063e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment ren+mask_1 [ 1.80879000e-01 1.83950186e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment makemask [ 7.86820000e-02 1.25919819e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment implot [ 5.13110000e-02 2.03363180e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment getdata [ 1.66270000e-02 1.66268349e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment ren+mask_2 [ 1.74815000e-01 1.77869081e-01 1.80216797e+03 4.02699219e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 3862.99 2167.53 0.0330578 -273.689 -273.689 23.1875
TIMING : Moment mom0flux [ 3.20320000e-02 3.20310593e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment flux-spectrum [ 5.07422000e-01 3.83021832e-01 1.80216797e+03 4.02699219e+02]
TIMING : Moment done [ 1.21070000e-02 1.21212006e-02 1.80216797e+03 4.02699219e+02]
TIMING : Moment END [ 1.582001 2.07052803]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc-@1.mom_2
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@1' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 7.22038590e+01 1.60824723e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[0, 2],2.523892
TIMING : CubeSpectrum Moment-pos [ 1.42580000e-01 1.42755985e-01 1.80216797e+03 4.02699219e+02]
TIMING : CubeSpectrum open [ 2.61930000e-02 2.64179707e-02 1.80216797e+03 4.02699219e+02]
TIMING : CubeSpectrum imval [ 7.09180000e-02 7.09350109e-02 1.80216797e+03 4.02699219e+02]
TIMING : CubeSpectrum imhead [ 8.57980000e-02 8.59398842e-02 1.80216797e+03 4.02699219e+02]
REGRESSION : CSP: [0.63673454523086548]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 4.91124000e-01 4.98869181e-01 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum summary [ 2.57510000e-02 2.57499218e-02 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum END [ 0.867965 0.87628698]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.1383/lc-@1.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@2' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 7.31969020e+01 1.60824724e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 39],20.795965
TIMING : CubeSpectrum Moment-pos [ 1.07435000e-01 1.07434988e-01 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum open [ 2.57590000e-02 2.57608891e-02 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum imval [ 7.89540000e-02 7.90059566e-02 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum imhead [ 8.56370000e-02 8.56521130e-02 1.80191797e+03 4.02449219e+02]
REGRESSION : CSP: [1.3017368316650391]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 5.04631000e-01 5.11471033e-01 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum summary [ 2.82100000e-02 2.82099247e-02 1.80191797e+03 4.02449219e+02]
TIMING : CubeSpectrum END [ 0.856817 0.86373591]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@2.csp