INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_91112.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 : NGC5194_91112.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 [ 2.13516400e+00 1.64394451e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [177 177 590]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 3.32387000e-01 3.39061975e-01 1.41062109e+03 2.16707031e+02]
TIMING : Ingest importfits [ 2.31448000e-01 2.73768902e-01 1.41095312e+03 2.18300781e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 1.19701000e-01 3.08037043e-01 1.41199609e+03 2.19996094e+02]
TIMING : Ingest summary-0 [ 1.42010000e-02 1.43101215e-02 1.41199609e+03 2.19996094e+02]
TIMING : Ingest mask [ 1.23549000e-01 1.45020962e-01 1.41199609e+03 2.19996094e+02]
TIMING : Ingest summary-1 [ 1.39720000e-02 1.83858871e-02 1.41199609e+03 2.19996094e+02]
TIMING : Ingest statistics [ 1.64920000e-01 1.65343046e-01 1.41237109e+03 2.21484375e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 14.375001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.375001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [177 177 590 1] 7354350 -0.684751 1.417089
INFO : Ingest_AT.py : S/N (all data): 10.760342
INFO : Ingest_AT.py : GOOD PIXELS: 7354350/18484110 (39.787417% good or 60.212583% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.684751 1.41709 0.131696 177 177 590 60.212583
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: NGC5194
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 202.469600 -6.250000 88.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 6.250000 88.000000
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: 114.964 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.078726 fw=0.230469 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 500.589066 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -599.393390
INFO : Ingest_AT.py : VLSR = 500.589066 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 6.74079000e-01 6.79116964e-01 1.41512109e+03 2.24722656e+02]
TIMING : Ingest END [ 1.686319 1.95513988]
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 [ 3.88227700e+00 1.64394451e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.17410000e-02 5.19618988e-02 1.41437109e+03 2.24527344e+02]
TIMING : CubeStats start [ 1.24740000e-02 1.25191212e-02 1.41437109e+03 2.24527344e+02]
TIMING : CubeStats imstat0 [ 5.94639000e-01 5.96272945e-01 1.44610547e+03 2.56695312e+02]
TIMING : CubeStats imstat1 [ 6.28784000e-01 6.30280018e-01 1.41405859e+03 2.25007812e+02]
INFO : CubeStats_AT.py : sigma varies from 0.122973 to 0.139378; 590/590 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 9.79317000e-01 9.82605934e-01 1.42453516e+03 2.35363281e+02]
INFO : CubeStats_AT.py : CubeMax: 1.417089 @ [ 92 85 297 0]
INFO : CubeStats_AT.py : CubeMin: -0.684751 @ [ 80 112 283 0]
INFO : CubeStats_AT.py : CubeRMS: 0.130048
INFO : CubeStats_AT.py : RMS Sanity check 1.012667
REGRESSION : CST: 0.130048 1.012667
INFO : CubeStats_AT.py : mean,rms,S/N=0.003100 0.130048 10.896642
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.048891 2.119324
TIMING : CubeStats plotting [ 2.289417 2.46135998 1454.875 264.01953125]
TIMING : CubeStats done [ 1.37710000e-02 1.40991211e-02 1.45487500e+03 2.64019531e+02]
TIMING : CubeStats summary [ 1.22750000e-02 1.23188496e-02 1.45487500e+03 2.64019531e+02]
TIMING : CubeStats END [ 4.594566 4.77360296]
INFO : AT.py : BDP_OUT[0] = CubeStats_BDP x.cst
INFO :
INFO :
INFO : Executing CubeSum_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : linesum : True
INFO : numsigma : 4.0
INFO : zoom : 1
INFO : pad : 5
INFO : sigma : 99.0
INFO :
TIMING : CubeSum ADMIT [ 8.53717900e+00 1.64394452e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.130048
TIMING : CubeSum start [ 5.20380000e-02 5.22029400e-02 1.45487500e+03 2.64023438e+02]
TIMING : CubeSum immoments [ 2.00033000e-01 2.42774010e-01 1.46038281e+03 2.70003906e+02]
TIMING : CubeSum statistics [ 1.99260000e-02 2.00011730e-02 1.46038281e+03 2.70003906e+02]
INFO : CubeSum_AT.py : Total flux: 114793.580727 (sum=2938.716043)
REGRESSION : CSM: [114793.58072698071, 2938.7160427663475]
TIMING : CubeSum implot [ 1.42324000e-01 6.08915997e+00 1.53238672e+03 2.70042969e+02]
TIMING : CubeSum getdata [ 2.16330000e-02 2.17080116e-02 1.53238672e+03 2.70042969e+02]
TIMING : CubeSum done [ 2.35689000e-01 2.54639864e-01 1.53238672e+03 2.70105469e+02]
TIMING : CubeSum END [ 0.684936 6.69383097]
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 [ 9.28309300e+00 1.64394453e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.36590000e-02 3.37650776e-02 1.53238672e+03 2.70105469e+02]
TIMING : SFind2D imstat [ 4.19590000e-02 4.21998501e-02 1.53238672e+03 2.70105469e+02]
INFO : AT.py : Setting 'sigma' = 1.16819084674 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.16819 -2.36188 48.24 35 0.0968648
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 5.33601000e-01 5.63184977e-01 1.53238672e+03 2.70746094e+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 : 13:29:50.815 +47.11.20.14 91.08 84.41 27.9 235 64.327 21.202 157.7 23.9
INFO : SFind2D_AT.py : 13:29:50.673 +47.11.22.95 91.31 84.86 27.9 225 63.317 19.501 156.0 23.9
INFO : SFind2D_AT.py : 13:29:50.736 +47.11.16.57 91.21 83.83 30.4 167 59.054 15.556 147.9 26.0
INFO : SFind2D_AT.py : 13:29:52.029 +47.12.03.44 89.10 91.33 26.5 118 31.250 31.250 180.0 22.7
INFO : SFind2D_AT.py : 13:29:54.633 +47.10.49.61 84.85 79.52 13 89.1 31.250 31.250 0.0 11.2
INFO : SFind2D_AT.py : 13:29:52.842 +47.11.33.65 87.77 86.57 18.7 580 126.454 54.280 179.8 16.0
INFO : SFind2D_AT.py : 13:29:53.361 +47.11.26.44 86.93 85.41 16.6 55 31.250 31.250 90.0 14.2
INFO : SFind2D_AT.py : 13:29:47.865 +47.12.49.43 95.89 98.69 0 861 159.397 59.968 124.5 0.0
INFO : SFind2D_AT.py : 13:29:53.126 +47.09.28.76 87.31 66.59 5.64 6.18 14.607 10.123 101.5 4.8
INFO : SFind2D_AT.py : 13:29:59.539 +47.13.27.71 76.86 104.82 5.88 45.9 96.193 11.692 154.2 5.0
INFO : SFind2D_AT.py : 13:29:55.314 +47.11.43.51 83.74 88.14 9.9 27.9 31.250 31.250 90.0 8.5
INFO : SFind2D_AT.py : 13:30:00.525 +47.13.06.85 75.25 101.48 5.37 24.4 59.831 11.761 154.3 4.6
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 4.08206000e-01 4.13496971e-01 1.53238672e+03 2.70746094e+02]
REGRESSION : CONTFLUX: 12 2435.16
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 14.4 arcsec , Minor axis: 14.4 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 3.00416000e-01 3.19519043e-01 1.53238672e+03 2.70871094e+02]
TIMING : SFind2D END [ 1.331325 1.38570786]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.877526 15.44444609]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.87753 15.4444 ]
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 [ 1.08261590e+01 1.64394453e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[92, 85, 297],1.417089
TIMING : CubeSpectrum CubeStats-pos [ 4.84780000e-02 4.86059189e-02 1.53238672e+03 2.70871094e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[92, 86],48.240032
TIMING : CubeSpectrum Moment-pos [ 4.30700000e-02 4.31962013e-02 1.53238672e+03 2.70871094e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m50.815s', '+47d11m20.14s'),27.884987
TIMING : CubeSpectrum SourceList-pos [ 3.63120000e-02 3.64148617e-02 1.53238672e+03 2.70871094e+02]
TIMING : CubeSpectrum open [ 1.22140000e-02 1.22520924e-02 1.53238672e+03 2.70871094e+02]
TIMING : CubeSpectrum imval [ 4.32660000e-02 4.34679985e-02 1.53238672e+03 2.71343750e+02]
TIMING : CubeSpectrum imhead [ 4.16970000e-02 4.18748856e-02 1.53238672e+03 2.71343750e+02]
TIMING : CubeSpectrum imval [ 2.41420000e-01 2.59972095e-01 1.53238672e+03 2.71445312e+02]
TIMING : CubeSpectrum imval [ 2.51536000e-01 2.70448923e-01 1.53238672e+03 2.71445312e+02]
REGRESSION : CSP: [1.4170891046524048, 1.1654877662658691, 1.4139541387557983]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.76536000e-01 2.95746088e-01 1.53238672e+03 2.71445312e+02]
TIMING : CubeSpectrum summary [ 1.22820000e-02 1.23138428e-02 1.53238672e+03 2.71445312e+02]
TIMING : CubeSpectrum END [ 1.019024 1.07653904]
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 [ 1.19058320e+01 1.64394453e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.46300000e-02 2.46958733e-02 1.53238672e+03 2.71445312e+02]
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input Spectra
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineSegment getspectrum [ 13.559513 13.59949303 1532.38671875 271.86328125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [274, 316]
WARNING : specutil.py : 0 [270, 297]
WARNING : specutil.py : 0 [283, 318]
WARNING : specutil.py : 1 [321, 325]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [246, 326]
WARNING : specutil.py : 1 [336, 340]
WARNING : specutil.py : 2 [345, 354]
WARNING : specutil.py : 3 [357, 361]
WARNING : specutil.py : 4 [365, 394]
WARNING : specutil.py : 5 [397, 401]
TIMING : LineSegment segment finder [ 4.09019 4.10507298 1532.38671875 271.86328125]
INFO : LineSegment_AT.py : Segment Coverage 54 / 590 = 0.0915254
REGRESSION : LINESEG: [[115.05978051423604, 115.09103051635287], [115.09493676661748, 115.09649926672331], [115.09845239185562, 115.10196801709377], [115.10313989217315, 115.10470239227899], [115.10626489238483, 115.11759301815218], [115.11876489323157, 115.1203273933374], [115.07071801497693, 115.08712426608827], [115.0691555148711, 115.07970239058552], [115.07423364021507, 115.08790551614119], [115.08907739122057, 115.09063989132642]]
TIMING : LineSegment done [ 2.308013 2.43636012 1554.4453125 293.89453125]
TIMING : LineSegment END [ 19.994905 20.17821598]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 30.171065 37.03389001]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 30.1711 37.0339 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 30.269154 37.1936841]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 30.2692 37.1937 ]
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 [ 3.22406300e+01 1.64394455e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 500.59 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 500.589
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 8.419781 8.44438481 1554.4453125 293.89453125]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.371693 5.39184618 1554.4453125 293.89453125]
TIMING : LineID segment finder [ 1.41400000e-02 1.42009258e-02 1.55444531e+03 2.93894531e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [274, 316]
WARNING : specutil.py : 0 [270, 297]
WARNING : specutil.py : 0 [283, 318]
WARNING : specutil.py : 1 [321, 325]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [246, 326]
WARNING : specutil.py : 1 [336, 340]
WARNING : specutil.py : 2 [345, 354]
WARNING : specutil.py : 3 [357, 361]
WARNING : specutil.py : 4 [365, 394]
WARNING : specutil.py : 5 [397, 401]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 246 - 401
REGRESSION : LINEID: CO 115.27120 246 401
INFO : LineID_AT.py : Line Coverage 156 / 590 = 0.264407
TIMING : LineID done [ 16.484745 16.70118904 1655.671875 395.0546875 ]
TIMING : LineID END [ 30.304395 30.56569099]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 60.897181 68.14991307]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 60.8972 68.1499 ]
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 [ 6.28231310e+01 1.64394458e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.79761000e-01 1.80565119e-01 1.60623438e+03 3.45855469e+02]
TIMING : LineCube pad [ 1.33390000e-02 1.33779049e-02 1.60623438e+03 3.45855469e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 9.99460000e-02 2.02642918e-01 1.60623438e+03 3.45976562e+02]
REGRESSION : LC: [241, 406]
TIMING : LineCube done [ 2.51390000e-02 2.52211094e-02 1.60623438e+03 3.45976562e+02]
TIMING : LineCube END [ 0.330553 0.43420815]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 61.398171 68.81527209]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 61.3982 68.8153 ]
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 - '@1' (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 [ 6.34199440e+01 1.64394458e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.92240000e-02 4.93409634e-02 1.60623438e+03 3.45976562e+02]
TIMING : Moment immoments-0 [ 2.07695000e-01 2.48743057e-01 1.62137109e+03 3.60988281e+02]
TIMING : Moment mom0clip [ 7.03690000e-02 1.37206078e-01 1.62137109e+03 3.61140625e+02]
TIMING : Moment implot [ 9.48470000e-02 3.74497890e-01 1.62137109e+03 3.61140625e+02]
TIMING : Moment getdata [ 2.05910000e-02 2.06651688e-02 1.62137109e+03 3.61140625e+02]
TIMING : Moment ren+mask_0 [ 3.14388000e-01 3.19329977e-01 1.62542969e+03 3.65199219e+02]
TIMING : Moment done [ 1.50200000e-02 1.50790215e-02 1.62542969e+03 3.65199219e+02]
TIMING : Moment END [ 0.784616 1.17743897]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@1.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 [ 6.42661310e+01 1.64394458e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88710000e-02 4.90441322e-02 1.62542969e+03 3.65199219e+02]
TIMING : Moment immoments-all [ 1.29321000e-01 3.33023787e-01 1.62542969e+03 3.65199219e+02]
TIMING : Moment mom0clip [ 6.98660000e-02 1.34177208e-01 1.62542969e+03 3.65199219e+02]
TIMING : Moment implot [ 9.70990000e-02 3.99969816e-01 1.62542969e+03 3.65199219e+02]
TIMING : Moment getdata [ 2.05980000e-02 2.06711292e-02 1.62542969e+03 3.65199219e+02]
TIMING : Moment ren+mask_0 [ 2.68574000e-01 2.73024082e-01 1.62542969e+03 3.65199219e+02]
TIMING : Moment makemask [ 1.51949000e-01 4.19026852e-01 1.62542969e+03 3.65957031e+02]
TIMING : Moment implot [ 7.68920000e-02 3.28752995e-01 1.62542969e+03 3.66046875e+02]
TIMING : Moment getdata [ 2.06030000e-02 2.06811428e-02 1.62542969e+03 3.66046875e+02]
TIMING : Moment ren+mask_1 [ 2.63507000e-01 2.68143892e-01 1.62542969e+03 3.66046875e+02]
TIMING : Moment makemask [ 1.54860000e-01 4.30037975e-01 1.62542969e+03 3.66046875e+02]
TIMING : Moment implot [ 7.66680000e-02 3.12273026e-01 1.62542969e+03 3.66046875e+02]
TIMING : Moment getdata [ 2.05720000e-02 2.06360817e-02 1.62542969e+03 3.66046875e+02]
TIMING : Moment ren+mask_2 [ 2.52310000e-01 2.57129908e-01 1.62542969e+03 3.66046875e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 11785 6929.67 0.0256 470.363 470.363 46.1756
TIMING : Moment mom0flux [ 5.25690000e-02 5.27279377e-02 1.62542969e+03 3.66046875e+02]
TIMING : Moment flux-spectrum [ 4.32832000e-01 4.37903166e-01 1.62542969e+03 3.66046875e+02]
TIMING : Moment done [ 1.49110000e-02 1.49970055e-02 1.62542969e+03 3.66046875e+02]
TIMING : Moment END [ 2.164359 3.78462696]
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 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 [ 6.65398710e+01 1.64394459e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[92, 86],57.044571
TIMING : CubeSpectrum Moment-pos [ 5.49810000e-02 5.51347733e-02 1.62542969e+03 3.66046875e+02]
TIMING : CubeSpectrum open [ 1.23430000e-02 1.23770237e-02 1.62542969e+03 3.66046875e+02]
TIMING : CubeSpectrum imval [ 3.80920000e-02 3.82740498e-02 1.62542969e+03 3.66046875e+02]
TIMING : CubeSpectrum imhead [ 4.29200000e-02 4.30819988e-02 1.62542969e+03 3.66046875e+02]
REGRESSION : CSP: [1.4139541387557983]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.58631000e-01 2.63437986e-01 1.62542969e+03 3.66046875e+02]
TIMING : CubeSpectrum summary [ 1.25940000e-02 1.26249790e-02 1.62542969e+03 3.66046875e+02]
TIMING : CubeSpectrum END [ 0.431874 0.43727779]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp