INFO : AT.py : Setting {'basename': 'x', 'file': 'R-Cas_94050.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 : R-Cas_94050.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 [ 2.17585500e+00 1.64738832e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: R-Cas SHAPE: [ 27 27 2062]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.61202000e-01 1.66775942e-01 1.41021875e+03 2.10855469e+02]
TIMING : Ingest importfits [ 1.05110000e-01 2.94998884e-01 1.41079688e+03 2.12457031e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.30570000e-02 1.23106003e-01 1.41270312e+03 2.14671875e+02]
TIMING : Ingest summary-0 [ 1.38720000e-02 1.39272213e-02 1.41270312e+03 2.14671875e+02]
TIMING : Ingest mask [ 2.44970000e-02 3.46927643e-02 1.41298047e+03 2.15699219e+02]
TIMING : Ingest summary-1 [ 1.34280000e-02 1.85332298e-02 1.41298047e+03 2.15699219e+02]
TIMING : Ingest statistics [ 3.78130000e-02 3.79109383e-02 1.41266016e+03 2.16046875e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 17.2500012, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 17.2500012, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 27 27 2062 1] 1503198 -2.602660 59.724079
INFO : Ingest_AT.py : S/N (all data): 231.895306
INFO : Ingest_AT.py : GOOD PIXELS: 1503198/1503198 (100.000000% good or 0.000000% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -2.60266 59.7241 0.257548 27 27 2062 0.000000
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: R-Cas
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 0.000000 -7.499999 13.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 7.499999 13.000000
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: 86.3372 -9.76562e-05 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=0.339465 km/s @ fc=86.236577 fw=-0.201367 GHz
INFO : Ingest_AT.py : RESTFREQ: 86.2434 86.2434 -1
INFO : Ingest_AT.py : VLSRc= 23.864173 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.976211
INFO : Ingest_AT.py : VLSR = 23.864173 errs = 0.000000 0.000000 0.000000 width = 0.339465
TIMING : Ingest done [ 5.53327000e-01 5.65011024e-01 1.41494531e+03 2.18429688e+02]
TIMING : Ingest END [ 0.974582 1.26728797]
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 [ 3.21104100e+00 1.64738833e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 6.32150000e-02 6.34729862e-02 1.41462891e+03 2.18367188e+02]
TIMING : CubeStats start [ 1.28090000e-02 1.28519535e-02 1.41462891e+03 2.18367188e+02]
TIMING : CubeStats imstat0 [ 1.17699000e-01 1.18082047e-01 1.42710547e+03 2.31359375e+02]
TIMING : CubeStats imstat1 [ 1.88078000e-01 1.88619137e-01 1.42710547e+03 2.31359375e+02]
INFO : CubeStats_AT.py : sigma varies from 0.087859 to 0.322530; 2062/2062 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.175719 (3.67098 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 2.027667 2.03457999 1427.10546875 231.796875 ]
INFO : CubeStats_AT.py : CubeMax: 59.724079 @ [ 12 14 1035 0]
INFO : CubeStats_AT.py : CubeMin: -2.602660 @ [ 6 20 929 0]
INFO : CubeStats_AT.py : CubeRMS: 0.111712
INFO : CubeStats_AT.py : RMS Sanity check 2.305461
WARNING : CubeStats_AT.py : RMS sanity check = 2.305461. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.111712 2.305461
INFO : CubeStats_AT.py : mean,rms,S/N=0.006867 0.111712 534.625470
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.447957 1.337738
TIMING : CubeStats plotting [ 2.342778 2.51767683 1455.20703125 258.14453125]
TIMING : CubeStats done [ 1.38300000e-02 1.38761997e-02 1.45520703e+03 2.58144531e+02]
TIMING : CubeStats summary [ 1.24830000e-02 1.25448704e-02 1.45520703e+03 2.58144531e+02]
TIMING : CubeStats END [ 4.790894 4.97408295]
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 [ 8.06192900e+00 1.64738833e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.111712
TIMING : CubeSum start [ 5.29140000e-02 5.31091690e-02 1.45520703e+03 2.58144531e+02]
TIMING : CubeSum immoments [ 5.60860000e-02 1.21482849e-01 1.45520703e+03 2.58402344e+02]
TIMING : CubeSum statistics [ 1.97680000e-02 1.98671818e-02 1.45520703e+03 2.58402344e+02]
INFO : CubeSum_AT.py : Total flux: 111419.689925 (sum=1980.795121)
REGRESSION : CSM: [111419.68992491084, 1980.7951214083587]
TIMING : CubeSum implot [ 1.43405000e-01 6.08922482e+00 1.52721094e+03 2.58460938e+02]
TIMING : CubeSum getdata [ 2.13320000e-02 2.13961601e-02 1.52721094e+03 2.58460938e+02]
TIMING : CubeSum done [ 2.31525000e-01 2.50419855e-01 1.52922266e+03 2.60472656e+02]
TIMING : CubeSum END [ 0.53869 6.56919098]
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 [ 8.66101700e+00 1.64738834e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.36770000e-02 3.37641239e-02 1.52922266e+03 2.60472656e+02]
TIMING : SFind2D imstat [ 4.06880000e-02 4.08978462e-02 1.52922266e+03 2.60472656e+02]
INFO : AT.py : Setting 'sigma' = 1.11713927992 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.11714 -16.7553 175.274 35 0.0285714
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.00862000e-01 1.09423161e-01 1.52922266e+03 2.60472656e+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 : 00:00:00.376 +00.00.04.80 12.25 13.64 134 241 22.688 17.744 61.6 119.6
INFO : SFind2D_AT.py : 00:00:00.380 +00.00.04.81 12.24 13.64 134 238 22.419 17.574 60.5 119.6
INFO : SFind2D_AT.py : 00:00:00.374 +00.00.04.78 12.25 13.64 134 239 22.403 17.722 61.7 119.6
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.82809000e-01 1.87708855e-01 1.52922266e+03 2.60472656e+02]
REGRESSION : CONTFLUX: 3 718.086
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 17.3 arcsec , Minor axis: 17.3 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 3.16462000e-01 3.37015152e-01 1.52922266e+03 2.61082031e+02]
TIMING : SFind2D END [ 0.688315 0.72266316]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 7.638962 14.23898816]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.63896 14.239 ]
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 [ 9.62929700e+00 1.64738834e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[12, 14, 1035],59.724079
TIMING : CubeSpectrum CubeStats-pos [ 4.84240000e-02 4.85289097e-02 1.52922266e+03 2.61082031e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[12, 14],175.274216
TIMING : CubeSpectrum Moment-pos [ 4.22150000e-02 4.23169136e-02 1.52922266e+03 2.61082031e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.376s', '+00d00m04.80s'),133.585098
TIMING : CubeSpectrum SourceList-pos [ 3.61340000e-02 3.62110138e-02 1.52922266e+03 2.61082031e+02]
TIMING : CubeSpectrum open [ 1.22900000e-02 1.23231411e-02 1.52922266e+03 2.61082031e+02]
TIMING : CubeSpectrum imval [ 5.49930000e-02 5.51970005e-02 1.52922266e+03 2.61500000e+02]
TIMING : CubeSpectrum imhead [ 4.21140000e-02 4.22439575e-02 1.52922266e+03 2.61500000e+02]
TIMING : CubeSpectrum imval [ 2.53938000e-01 2.72949934e-01 1.52922266e+03 2.61585938e+02]
REGRESSION : CSP: [59.724079132080078, 59.724079132080078]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.70963000e-01 2.89605141e-01 1.52922266e+03 2.61585938e+02]
TIMING : CubeSpectrum summary [ 1.25530000e-02 1.25858784e-02 1.52922266e+03 2.61585938e+02]
TIMING : CubeSpectrum END [ 0.786004 0.82437181]
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 [ 1.04807490e+01 1.64738834e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.49270000e-02 2.49819756e-02 1.52922266e+03 2.61585938e+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 [ 13.501437 13.52966309 1529.22265625 261.90625 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [819, 830]
WARNING : specutil.py : 1 [1022, 1057]
WARNING : specutil.py : 0 [819, 830]
WARNING : specutil.py : 1 [1022, 1057]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [820, 830]
WARNING : specutil.py : 1 [1022, 1057]
TIMING : LineSegment segment finder [ 3.318022 3.32783914 1529.22265625 261.90625 ]
INFO : LineSegment_AT.py : Segment Coverage 48 / 2062 = 0.0232784
REGRESSION : LINESEG: [[86.256156898534883, 86.257133460932792], [86.23398893210269, 86.237406900495316], [86.256156898534883, 86.257231117172566], [86.23398893210269, 86.237406900495316], [86.256156898534883, 86.257231117172566], [86.23398893210269, 86.237406900495316]]
TIMING : LineSegment done [ 2.163742 2.26819086 1557.5859375 290.26953125]
TIMING : LineSegment END [ 19.020413 19.16298914]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 27.771002 34.60929418]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.771 34.6093 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 27.870944 34.86120296]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 27.8709 34.8612 ]
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 [ 2.98850030e+01 1.64738836e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 23.86 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 23.8642
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 6.141559 6.15372491 1557.5859375 290.26953125]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 7.512703 7.52762794 1557.5859375 290.26953125]
TIMING : LineID segment finder [ 1.46490000e-02 1.46820545e-02 1.55758594e+03 2.90269531e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [819, 830]
WARNING : specutil.py : 1 [1022, 1057]
WARNING : specutil.py : 0 [819, 830]
WARNING : specutil.py : 1 [1022, 1057]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [820, 830]
WARNING : specutil.py : 1 [1022, 1057]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: SiO 2-1 @ 86.24337GHz, channels 1022 - 1057
REGRESSION : LINEID: SiO 86.24337 1022 1057
INFO : LineID_AT.py : Found line: (CH3)2COv=0 19(9,10)-19(8,11)EA @ 86.26354GHz, channels 819 - 830
REGRESSION : LINEID: (CH3)2COv=0 86.26354 819 830
INFO : LineID_AT.py : Line Coverage 48 / 2062 = 0.0232784
TIMING : LineID done [ 15.827179 16.05280209 1667.08984375 401.30859375]
TIMING : LineID END [ 29.510516 29.76329684]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 57.895813 65.20645618]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 57.8958 65.2065 ]
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 [ 5.98634050e+01 1.64738839e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 5.79600000e-02 5.83999157e-02 1.62911719e+03 3.63457031e+02]
TIMING : LineCube pad [ 1.42230000e-02 1.42610073e-02 1.62911719e+03 3.63457031e+02]
TIMING : LineCube trans-x.SiO_86.24337 [ 6.91380000e-02 1.38566017e-01 1.62911719e+03 3.63457031e+02]
TIMING : LineCube trans-x.(CH3)2CO_86.26354 [ 6.88770000e-02 1.07040167e-01 1.62911719e+03 3.63457031e+02]
REGRESSION : LC: [1017, 1062, 814, 835]
TIMING : LineCube done [ 2.48880000e-02 2.49478817e-02 1.62911719e+03 3.63457031e+02]
TIMING : LineCube END [ 0.247391 0.3555541]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.SiO_86.24337/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.(CH3)2CO_86.26354/lc.im
TIMING : ADMITrun END [ 58.345229 65.82456112]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 58.3452 65.8246 ]
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 [ 6.04555510e+01 1.64738839e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 5.40310000e-02 5.41429520e-02 1.62911719e+03 3.63457031e+02]
TIMING : Moment immoments-0 [ 6.36170000e-02 1.51073933e-01 1.62911719e+03 3.63457031e+02]
TIMING : Moment mom0clip [ 6.86660000e-02 1.15728140e-01 1.62911719e+03 3.63558594e+02]
TIMING : Moment implot [ 9.80000000e-02 3.47070932e-01 1.63235156e+03 3.66792969e+02]
TIMING : Moment getdata [ 2.05460000e-02 2.06389427e-02 1.63235156e+03 3.66792969e+02]
TIMING : Moment ren+mask_0 [ 3.49622000e-01 3.54228973e-01 1.63984766e+03 3.74289062e+02]
TIMING : Moment done [ 1.53940000e-02 1.54411793e-02 1.63984766e+03 3.74289062e+02]
TIMING : Moment END [ 0.682206 1.07070994]
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 [ 6.11988690e+01 1.64738839e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.84590000e-02 4.85560894e-02 1.63984766e+03 3.74289062e+02]
TIMING : Moment immoments-all [ 6.25630000e-02 2.87525892e-01 1.63984766e+03 3.74289062e+02]
TIMING : Moment mom0clip [ 6.66700000e-02 1.21720076e-01 1.63984766e+03 3.74289062e+02]
TIMING : Moment implot [ 9.20230000e-02 3.36893082e-01 1.63984766e+03 3.74289062e+02]
TIMING : Moment getdata [ 2.07050000e-02 2.07688808e-02 1.63984766e+03 3.74289062e+02]
TIMING : Moment ren+mask_0 [ 2.56278000e-01 2.60584116e-01 1.63984766e+03 3.74289062e+02]
TIMING : Moment makemask [ 1.46452000e-01 4.15877819e-01 1.63984766e+03 3.74421875e+02]
TIMING : Moment implot [ 7.81790000e-02 3.09903145e-01 1.63984766e+03 3.74980469e+02]
TIMING : Moment getdata [ 2.02970000e-02 2.03599930e-02 1.63984766e+03 3.74980469e+02]
TIMING : Moment ren+mask_1 [ 2.53752000e-01 2.58209944e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment makemask [ 1.46487000e-01 3.55853081e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment implot [ 7.64890000e-02 3.13638926e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment getdata [ 2.03460000e-02 2.04329491e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment ren+mask_2 [ 2.53349000e-01 2.57694960e-01 1.63959766e+03 3.74730469e+02]
REGRESSION : MOM0FLUX: x.SiO_86.24337 2210.15 1246.34 0.0177778 25.221 25.221 0.0197064
TIMING : Moment mom0flux [ 5.10820000e-02 5.12161255e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment flux-spectrum [ 2.52226000e-01 2.57066011e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment done [ 1.49760000e-02 1.50258541e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment END [ 1.872634 3.36368608]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.SiO_86.24337/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.SiO_86.24337/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.SiO_86.24337/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 [ 6.31802200e+01 1.64738840e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.84100000e-02 4.85458374e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment immoments-all [ 6.16430000e-02 1.96354151e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment mom0clip [ 6.83550000e-02 1.27469063e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment implot [ 9.34040000e-02 3.33107948e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment getdata [ 2.06070000e-02 2.06859112e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment ren+mask_0 [ 2.56560000e-01 2.60973930e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment makemask [ 1.47288000e-01 5.45342207e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment implot [ 7.58220000e-02 2.97143936e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment getdata [ 2.03400000e-02 2.04029083e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment ren+mask_1 [ 2.53175000e-01 2.57828951e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment makemask [ 1.47472000e-01 7.02280045e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment implot [ 7.68110000e-02 3.01039934e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment getdata [ 2.03880000e-02 2.04541683e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment ren+mask_2 [ 2.54069000e-01 2.58682966e-01 1.63959766e+03 3.74730469e+02]
REGRESSION : MOM0FLUX: x.(CH3)2CO_86.26354 65.0581 42.7873 0.0177778 23.6482 23.6482 0.064557
TIMING : Moment mom0flux [ 5.08510000e-02 5.10079861e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment flux-spectrum [ 2.49997000e-01 2.54353046e-01 1.63959766e+03 3.74730469e+02]
TIMING : Moment done [ 1.49480000e-02 1.50029659e-02 1.63959766e+03 3.74730469e+02]
TIMING : Moment END [ 1.872545 3.72314191]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.(CH3)2CO_86.26354/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.(CH3)2CO_86.26354/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.(CH3)2CO_86.26354/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 [ 6.51661010e+01 1.64738840e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[12, 14],169.722366
TIMING : CubeSpectrum Moment-pos [ 5.50660000e-02 5.52659035e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum open [ 1.22850000e-02 1.23240948e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum imval [ 3.35800000e-02 3.37550640e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum imhead [ 4.11620000e-02 4.13079262e-02 1.63959766e+03 3.74730469e+02]
REGRESSION : CSP: [59.724079132080078]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.73070000e-01 2.77914047e-01 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum summary [ 1.25260000e-02 1.25539303e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum END [ 0.440015 0.44547987]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.SiO_86.24337/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 [ 6.56667140e+01 1.64738840e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[13, 13],8.754821
TIMING : CubeSpectrum Moment-pos [ 5.43670000e-02 5.45229912e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum open [ 1.23670000e-02 1.24020576e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum imval [ 3.28200000e-02 3.29608917e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum imhead [ 4.09590000e-02 4.11031246e-02 1.63959766e+03 3.74730469e+02]
REGRESSION : CSP: [3.4454498291015625]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.62667000e-01 2.67166853e-01 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum summary [ 1.24760000e-02 1.25181675e-02 1.63959766e+03 3.74730469e+02]
TIMING : CubeSpectrum END [ 0.427893 0.43295193]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.(CH3)2CO_86.26354/lc-@2.csp