INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177.nfs.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 : SEXTANS-A_92177.nfs.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 [ 2.14504600e+00 1.64394493e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 55 55 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.70244000e-01 1.76608086e-01 1.41056250e+03 2.17062500e+02]
TIMING : Ingest importfits [ 1.10207000e-01 1.73728943e-01 1.41057812e+03 2.18285156e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.69770000e-02 9.51149464e-02 1.41308203e+03 2.21167969e+02]
TIMING : Ingest summary-0 [ 1.41080000e-02 1.41661167e-02 1.41308203e+03 2.21167969e+02]
TIMING : Ingest mask [ 2.78900000e-02 6.89079762e-02 1.41308203e+03 2.21539062e+02]
TIMING : Ingest summary-1 [ 1.33080000e-02 1.92239285e-02 1.41308203e+03 2.21539062e+02]
TIMING : Ingest statistics [ 4.83360000e-02 4.84640598e-02 1.43282031e+03 2.42496094e+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: [ 55 55 689 1] 1936779 -0.046102 0.058811
INFO : Ingest_AT.py : S/N (all data): 7.864678
INFO : Ingest_AT.py : GOOD PIXELS: 1936779/2084225 (92.925620% good or 7.074380% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0461024 0.0588112 0.00747789 55 55 689 7.074380
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: SEXTANS-A
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 152.783800 -5.500001 27.000000
INFO : Ingest_AT.py : DEC Axis 2: -4.704639 5.500001 27.000000
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: 115.016 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.149890 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 315.507976 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = 315.507976 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.63863000e-01 5.68551064e-01 1.43557031e+03 2.45457031e+02]
TIMING : Ingest END [ 1.017074 1.17694116]
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 [ 3.22326100e+00 1.64394493e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.24770000e-02 5.33320904e-02 1.43482031e+03 2.45070312e+02]
TIMING : CubeStats start [ 1.25360000e-02 1.25739574e-02 1.43482031e+03 2.45070312e+02]
TIMING : CubeStats imstat0 [ 1.31171000e-01 1.32297039e-01 1.43283203e+03 2.43753906e+02]
TIMING : CubeStats imstat1 [ 1.46855000e-01 1.47296906e-01 1.43452344e+03 2.45347656e+02]
INFO : CubeStats_AT.py : sigma varies from 0.003336 to 0.007147; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00667101 (2.14264 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.73716000e-01 7.76351929e-01 1.43452344e+03 2.45386719e+02]
INFO : CubeStats_AT.py : CubeMax: 0.058811 @ [45 28 7 0]
INFO : CubeStats_AT.py : CubeMin: -0.046102 @ [ 34 19 142 0]
INFO : CubeStats_AT.py : CubeRMS: 0.005768
INFO : CubeStats_AT.py : RMS Sanity check 1.296503
REGRESSION : CST: 0.005768 1.296503
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000074 0.005768 10.196577
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.925295 1.879661
TIMING : CubeStats plotting [ 2.3973 2.58969522 1454.9140625 264.203125 ]
TIMING : CubeStats done [ 1.38110000e-02 1.38528347e-02 1.45491406e+03 2.64203125e+02]
TIMING : CubeStats summary [ 1.22960000e-02 1.23450756e-02 1.45491406e+03 2.64203125e+02]
TIMING : CubeStats END [ 3.552374 3.74999309]
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 [ 6.83602800e+00 1.64394493e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.005768
TIMING : CubeSum start [ 5.20100000e-02 5.21728992e-02 1.45491406e+03 2.64203125e+02]
TIMING : CubeSum immoments [ 6.14060000e-02 1.24309063e-01 1.45491406e+03 2.64593750e+02]
TIMING : CubeSum statistics [ 1.99270000e-02 2.00200081e-02 1.45491406e+03 2.64593750e+02]
INFO : CubeSum_AT.py : Total flux: 1494.770214 (sum=49.413877)
REGRESSION : CSM: [1494.7702135453424, 49.41387698192375]
TIMING : CubeSum implot [ 1.47034000e-01 6.08558297e+00 1.52691797e+03 2.64636719e+02]
TIMING : CubeSum getdata [ 2.16790000e-02 2.17459202e-02 1.52691797e+03 2.64636719e+02]
TIMING : CubeSum done [ 2.48307000e-01 2.67482996e-01 1.52691797e+03 2.64640625e+02]
TIMING : CubeSum END [ 0.564286 6.58526897]
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 [ 7.46116200e+00 1.64394494e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.38060000e-02 3.39050293e-02 1.52691797e+03 2.64640625e+02]
TIMING : SFind2D imstat [ 4.41100000e-02 4.43599224e-02 1.52691797e+03 2.64964844e+02]
INFO : AT.py : Setting 'sigma' = 0.0957501725588 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.0957502 -0.547785 1.20394 35 0.318122
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 4.21365000e-01 4.30660009e-01 1.52691797e+03 2.65394531e+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 : 10:11:01.770 -04.42.39.05 44.24 22.93 0.66 4.85 38.012 34.208 85.0 6.9
INFO : SFind2D_AT.py : 10:11:01.841 -04.42.11.49 44.04 27.95 0.978 9.39 86.066 15.757 91.0 10.2
INFO : SFind2D_AT.py : 10:11:01.576 -04.42.41.00 44.76 22.58 0.66 5.77 58.508 27.739 87.8 6.9
INFO : SFind2D_AT.py : 10:11:05.527 -04.43.38.37 34.03 12.15 0.481 1.39 31.776 16.930 79.8 5.0
INFO : SFind2D_AT.py : 10:11:07.339 -04.42.10.80 29.10 28.07 0.398 1.79 27.500 27.500 90.0 4.2
INFO : SFind2D_AT.py : 10:11:07.877 -04.42.42.52 27.64 22.30 0.346 0.86 24.750 16.095 114.5 3.6
INFO : SFind2D_AT.py : 10:11:08.964 -04.42.05.97 24.68 28.95 0.2 0.851 27.181 13.586 74.9 2.1
INFO : SFind2D_AT.py : 10:11:09.594 -04.43.34.21 22.97 12.91 0.0239 1.17 27.500 27.500 180.0 0.2
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 3.06727000e-01 3.11187029e-01 1.52691797e+03 2.65484375e+02]
REGRESSION : CONTFLUX: 8 26.0595
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 [ 3.20440000e-01 3.39548826e-01 1.52691797e+03 2.65546875e+02]
TIMING : SFind2D END [ 1.140395 1.17364192]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.865901 13.34110308]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.8659 13.3411 ]
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 [ 8.81874900e+00 1.64394494e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[45, 28, 7],0.058811
TIMING : CubeSpectrum CubeStats-pos [ 4.82920000e-02 4.84139919e-02 1.52691797e+03 2.65550781e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[44, 28],1.203945
TIMING : CubeSpectrum Moment-pos [ 4.15770000e-02 4.16960716e-02 1.52691797e+03 2.65550781e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('10h11m01.770s', '-04d42m39.05s'),0.659981
TIMING : CubeSpectrum SourceList-pos [ 3.58830000e-02 3.59787941e-02 1.52691797e+03 2.65550781e+02]
TIMING : CubeSpectrum open [ 1.21590000e-02 1.21960640e-02 1.52691797e+03 2.65550781e+02]
TIMING : CubeSpectrum imval [ 4.34370000e-02 4.36320305e-02 1.52691797e+03 2.66066406e+02]
TIMING : CubeSpectrum imhead [ 4.17640000e-02 4.19049263e-02 1.52691797e+03 2.66066406e+02]
TIMING : CubeSpectrum imval [ 2.64851000e-01 2.83501148e-01 1.52691797e+03 2.66250000e+02]
TIMING : CubeSpectrum imval [ 2.81060000e-01 2.99513817e-01 1.52691797e+03 2.66250000e+02]
REGRESSION : CSP: [0.058811172842979431, 0.057233560830354691, 0.035765301436185837]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.82220000e-01 3.00876141e-01 1.52666797e+03 2.66000000e+02]
TIMING : CubeSpectrum summary [ 1.23380000e-02 1.23839378e-02 1.52666797e+03 2.66000000e+02]
TIMING : CubeSpectrum END [ 1.075757 1.13232899]
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 [ 9.95503600e+00 1.64394494e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.45020000e-02 2.46050358e-02 1.52666797e+03 2.66000000e+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 [ 28.995545 29.08623791 1526.66796875 266.41015625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1, 58]
WARNING : specutil.py : 1 [146, 151]
WARNING : specutil.py : 2 [309, 312]
WARNING : specutil.py : 3 [362, 366]
WARNING : specutil.py : 4 [533, 537]
WARNING : specutil.py : 5 [653, 656]
WARNING : specutil.py : 0 [1, 47]
WARNING : specutil.py : 1 [356, 365]
WARNING : specutil.py : 2 [533, 537]
WARNING : specutil.py : 0 [1, 25]
WARNING : specutil.py : 1 [32, 37]
WARNING : specutil.py : 2 [45, 51]
WARNING : specutil.py : 3 [222, 226]
WARNING : specutil.py : 4 [242, 245]
WARNING : specutil.py : 5 [298, 302]
WARNING : specutil.py : 6 [342, 346]
WARNING : specutil.py : 7 [420, 423]
WARNING : specutil.py : 8 [599, 602]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1, 20]
TIMING : LineSegment segment finder [ 4.775146 4.79242492 1526.66796875 266.41015625]
INFO : LineSegment_AT.py : Segment Coverage 115 / 689 = 0.166909
REGRESSION : LINESEG: [[115.01590574262737, 115.02332761813011], [115.01590574262737, 115.03817136913561], [115.07254637146413, 115.07449949659643], [115.13621825077718, 115.13739012585656], [115.15692137717959, 115.15848387728542], [115.22371825670432, 115.22528075681015], [115.27059325987956, 115.27176513495894], [115.01590574262737, 115.03387449384455], [115.15457762702081, 115.15809325225895], [115.22371825670432, 115.22528075681015], [115.01590574262737, 115.02528074326241], [115.02801511844764, 115.02996824357994], [115.03309324379163, 115.0354369939504], [115.10223387347511, 115.10379637358096], [115.11004637400433, 115.11121824908371], [115.13192137548612, 115.13348387559195], [115.14910887665037, 115.15067137675621], [115.17957762871428, 115.18074950379368], [115.2494995084507, 115.25067138353008]]
TIMING : LineSegment done [ 2.506209 2.640306 1558.609375 298.19140625]
TIMING : LineSegment END [ 36.313909 36.55611801]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 44.547272 51.37949514]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 44.5473 51.3795 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 44.649983 51.55338812]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 44.65 51.5534 ]
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 [ 4.66294160e+01 1.64394498e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 315.51 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 315.508
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 20.708432 20.7593298 1558.609375 298.26171875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 8.630905 8.65189719 1558.609375 298.26171875]
TIMING : LineID segment finder [ 1.44200000e-02 1.44579411e-02 1.55860938e+03 2.98261719e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1, 58]
WARNING : specutil.py : 1 [146, 151]
WARNING : specutil.py : 2 [309, 312]
WARNING : specutil.py : 3 [362, 366]
WARNING : specutil.py : 4 [533, 537]
WARNING : specutil.py : 5 [653, 656]
WARNING : specutil.py : 0 [1, 47]
WARNING : specutil.py : 1 [356, 365]
WARNING : specutil.py : 2 [533, 537]
WARNING : specutil.py : 0 [1, 25]
WARNING : specutil.py : 1 [32, 37]
WARNING : specutil.py : 2 [45, 51]
WARNING : specutil.py : 3 [222, 226]
WARNING : specutil.py : 4 [242, 245]
WARNING : specutil.py : 5 [298, 302]
WARNING : specutil.py : 6 [342, 346]
WARNING : specutil.py : 7 [420, 423]
WARNING : specutil.py : 8 [599, 602]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1, 20]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found 1 potential pattern(s) with separation(s) of 28.5 km/s
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 1 - 602
REGRESSION : LINEID: CO 115.27120 1 602
INFO : LineID_AT.py : Found line: c-HCC13CH 15(15,1)-15(14,2) @ 115.39568GHz, channels 653 - 656
REGRESSION : LINEID: c-HCC13CH 115.39568 653 656
INFO : LineID_AT.py : Line Coverage 606 / 689 = 0.879536
TIMING : LineID done [ 20.84681 21.45034599 1666.83984375 407.69140625]
TIMING : LineID END [ 50.215392 50.89089394]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 95.216371 102.86149693]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 95.2164 102.861 ]
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 [ 9.71464200e+01 1.64394503e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.93660000e-02 7.02960491e-02 1.63330469e+03 3.74316406e+02]
TIMING : LineCube pad [ 1.48080000e-02 1.48508549e-02 1.63330469e+03 3.74316406e+02]
WARNING : LineCube_AT.py : pad=5 too large, start=-4 resetting to 0
TIMING : LineCube trans-x.CO_115.27120 [ 1.07060000e-01 2.15451002e-01 1.63330469e+03 3.74316406e+02]
TIMING : LineCube trans-x.HCC13CH_115.39568 [ 6.94580000e-02 1.81936026e-01 1.63330469e+03 3.74316406e+02]
REGRESSION : LC: [0, 607, 648, 661]
TIMING : LineCube done [ 2.50240000e-02 2.50921249e-02 1.63330469e+03 3.74316406e+02]
TIMING : LineCube END [ 0.298178 0.52012205]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.HCC13CH_115.39568/lc.im
TIMING : ADMITrun END [ 95.717085 103.64275002]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 95.7171 103.643 ]
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 [ 9.77935850e+01 1.64394503e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.96450000e-02 4.97670174e-02 1.63330469e+03 3.74316406e+02]
TIMING : Moment immoments-0 [ 6.90050000e-02 1.96089983e-01 1.63330469e+03 3.74316406e+02]
TIMING : Moment mom0clip [ 7.02630000e-02 3.46136093e-01 1.63330469e+03 3.74503906e+02]
TIMING : Moment implot [ 9.91730000e-02 3.51801872e-01 1.63330469e+03 3.74503906e+02]
TIMING : Moment getdata [ 2.09420000e-02 2.10061073e-02 1.63330469e+03 3.74503906e+02]
TIMING : Moment ren+mask_0 [ 4.18405000e-01 4.22920942e-01 1.64307812e+03 3.84277344e+02]
TIMING : Moment done [ 1.54510000e-02 1.54869556e-02 1.64307812e+03 3.84277344e+02]
TIMING : Moment END [ 0.755929 1.4163301]
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 [ 9.86108860e+01 1.64394503e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.91250000e-02 4.92348671e-02 1.64307812e+03 3.84277344e+02]
TIMING : Moment immoments-all [ 8.46810000e-02 3.09112072e-01 1.64307812e+03 3.84277344e+02]
TIMING : Moment mom0clip [ 6.76690000e-02 1.24926090e-01 1.64307812e+03 3.84277344e+02]
TIMING : Moment implot [ 9.47920000e-02 3.48795891e-01 1.64307812e+03 3.84277344e+02]
TIMING : Moment getdata [ 2.11970000e-02 2.12700367e-02 1.64307812e+03 3.84277344e+02]
TIMING : Moment ren+mask_0 [ 2.93082000e-01 2.97393084e-01 1.64307812e+03 3.84277344e+02]
TIMING : Moment makemask [ 1.52667000e-01 5.25429964e-01 1.64307812e+03 3.85125000e+02]
TIMING : Moment implot [ 8.36040000e-02 3.31769943e-01 1.64307812e+03 3.85125000e+02]
TIMING : Moment getdata [ 2.09930000e-02 2.10750103e-02 1.64307812e+03 3.85125000e+02]
TIMING : Moment ren+mask_1 [ 3.01286000e-01 3.05707932e-01 1.64307812e+03 3.85125000e+02]
TIMING : Moment makemask [ 1.50455000e-01 4.26573992e-01 1.64307812e+03 3.85125000e+02]
TIMING : Moment implot [ 8.05620000e-02 3.12638044e-01 1.64307812e+03 3.85125000e+02]
TIMING : Moment getdata [ 2.09530000e-02 2.10158825e-02 1.64307812e+03 3.85125000e+02]
TIMING : Moment ren+mask_2 [ 2.94238000e-01 2.99100161e-01 1.64307812e+03 3.85125000e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 12.4285 34.1671 0.0330578 454.13 454.13 197.954
TIMING : Moment mom0flux [ 5.21150000e-02 5.22949696e-02 1.64307812e+03 3.85125000e+02]
TIMING : Moment flux-spectrum [ 3.96786000e-01 4.02374029e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment done [ 1.54120000e-02 1.54478550e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment END [ 2.192061 3.87665796]
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 [ 1.00916376e+02 1.64394503e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85470000e-02 4.86559868e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment immoments-all [ 6.71310000e-02 2.76169062e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment mom0clip [ 6.72420000e-02 1.38898849e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment implot [ 9.64570000e-02 3.38197947e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment getdata [ 2.11600000e-02 2.12199688e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment ren+mask_0 [ 3.02559000e-01 3.07132006e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment makemask [ 1.48653000e-01 5.83223104e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment implot [ 7.83750000e-02 3.05313110e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment getdata [ 2.07080000e-02 2.07729340e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment ren+mask_1 [ 2.81225000e-01 2.85754919e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment makemask [ 1.49419000e-01 4.76125002e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment implot [ 7.80090000e-02 3.05334091e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment getdata [ 2.06340000e-02 2.06978321e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment ren+mask_2 [ 2.73101000e-01 2.77586222e-01 1.64257812e+03 3.84625000e+02]
REGRESSION : MOM0FLUX: x.HCC13CH_115.39568 -42.9543 1.70796 0.0330578 324.399 324.399 2.28312
TIMING : Moment mom0flux [ 5.17680000e-02 5.19359112e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment flux-spectrum [ 2.78596000e-01 2.82454014e-01 1.64257812e+03 3.84625000e+02]
TIMING : Moment done [ 1.53170000e-02 1.53539181e-02 1.64257812e+03 3.84625000e+02]
TIMING : Moment END [ 2.011387 3.76737499]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.HCC13CH_115.39568/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.HCC13CH_115.39568/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.HCC13CH_115.39568/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 [ 1.03038013e+02 1.64394504e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[43, 24],0.834654
TIMING : CubeSpectrum Moment-pos [ 5.42810000e-02 5.44240475e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum open [ 1.23600000e-02 1.23929977e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum imval [ 4.04640000e-02 4.06570435e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum imhead [ 4.25240000e-02 4.26669121e-02 1.64257812e+03 3.84625000e+02]
REGRESSION : CSP: [0.029699848964810371]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.86177000e-01 2.90776014e-01 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum summary [ 1.24960000e-02 1.25319958e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum END [ 0.46062 0.46579814]
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 [ 1.03559646e+02 1.64394504e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[51, 11],0.163238
TIMING : CubeSpectrum Moment-pos [ 5.44150000e-02 5.45721054e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum open [ 1.24550000e-02 1.24888420e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum imval [ 3.59290000e-02 3.61001492e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum imhead [ 4.22570000e-02 4.24129963e-02 1.64257812e+03 3.84625000e+02]
REGRESSION : CSP: [0.023626863956451416]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.80962000e-01 2.85266876e-01 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum summary [ 1.26850000e-02 1.27160549e-02 1.64257812e+03 3.84625000e+02]
TIMING : CubeSpectrum END [ 0.451066 0.45595694]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.HCC13CH_115.39568/lc-@2.csp