INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_90911_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_90911_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 [ 2.08015400e+00 1.64394475e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [153 219 590]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 3.45465000e-01 3.52541208e-01 1.41090625e+03 2.19824219e+02]
TIMING : Ingest importfits [ 2.61184000e-01 3.03953886e-01 1.41107422e+03 2.21203125e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 1.23158000e-01 1.44793034e-01 1.41226562e+03 2.23332031e+02]
TIMING : Ingest summary-0 [ 1.64570000e-02 1.65879726e-02 1.41226562e+03 2.23332031e+02]
TIMING : Ingest mask [ 1.12218000e-01 1.22797966e-01 1.41226562e+03 2.23332031e+02]
TIMING : Ingest summary-1 [ 1.42950000e-02 1.86231136e-02 1.41226562e+03 2.23332031e+02]
TIMING : Ingest statistics [ 1.35212000e-01 1.35581017e-01 1.41254297e+03 2.24652344e+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: [153 219 590 1] 8520780 -0.536993 1.377000
INFO : Ingest_AT.py : S/N (all data): 14.202790
INFO : Ingest_AT.py : GOOD PIXELS: 8520780/19769130 (43.101441% good or 56.898559% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.536993 1.377 0.0969528 153 219 590 56.898559
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 -5.500001 109.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 5.500001 76.000000
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 [ 6.45849000e-01 6.51265860e-01 1.41586328e+03 2.28351562e+02]
TIMING : Ingest END [ 1.665926 1.75827217]
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 [ 3.80698200e+00 1.64394476e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.17470000e-02 5.19719124e-02 1.41486328e+03 2.27953125e+02]
TIMING : CubeStats start [ 1.24630000e-02 1.25060081e-02 1.41486328e+03 2.27953125e+02]
TIMING : CubeStats imstat0 [ 5.68578000e-01 5.70036173e-01 1.44637109e+03 2.59761719e+02]
TIMING : CubeStats imstat1 [ 7.50319000e-01 7.52182007e-01 1.41411328e+03 2.27750000e+02]
INFO : CubeStats_AT.py : sigma varies from 0.089391 to 0.101070; 590/590 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 1.01558600e+00 1.01905584e+00 1.42538672e+03 2.38902344e+02]
INFO : CubeStats_AT.py : CubeMax: 1.377000 @ [ 48 73 300 0]
INFO : CubeStats_AT.py : CubeMin: -0.536993 @ [ 99 64 487 0]
INFO : CubeStats_AT.py : CubeRMS: 0.094843
INFO : CubeStats_AT.py : RMS Sanity check 1.022244
REGRESSION : CST: 0.094843 1.022244
INFO : CubeStats_AT.py : mean,rms,S/N=-0.004741 0.094843 14.518719
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.590276 2.630889
TIMING : CubeStats plotting [ 2.440945 2.61341596 1454.80859375 266.76171875]
TIMING : CubeStats done [ 1.37470000e-02 1.37841702e-02 1.45480859e+03 2.66761719e+02]
TIMING : CubeStats summary [ 1.23060000e-02 1.23579502e-02 1.45480859e+03 2.66761719e+02]
TIMING : CubeStats END [ 4.877912 5.05756807]
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 [ 8.74498100e+00 1.64394476e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.094843
TIMING : CubeSum start [ 5.21310000e-02 5.23030758e-02 1.45480859e+03 2.66765625e+02]
TIMING : CubeSum immoments [ 2.39319000e-01 2.78424978e-01 1.46259375e+03 2.74906250e+02]
TIMING : CubeSum statistics [ 2.03170000e-02 2.04010010e-02 1.46259375e+03 2.74906250e+02]
INFO : CubeSum_AT.py : Total flux: 131195.601555 (sum=4337.043418)
REGRESSION : CSM: [131195.60155471612, 4337.0434178092983]
TIMING : CubeSum implot [ 1.45403000e-01 6.12753296e+00 1.53459766e+03 2.74996094e+02]
TIMING : CubeSum getdata [ 2.20470000e-02 2.21168995e-02 1.53459766e+03 2.74996094e+02]
TIMING : CubeSum done [ 2.51201000e-01 2.69891024e-01 1.53459766e+03 2.75058594e+02]
TIMING : CubeSum END [ 0.743972 6.78425908]
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 [ 9.54921000e+00 1.64394477e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.39710000e-02 3.40728760e-02 1.53459766e+03 2.75058594e+02]
TIMING : SFind2D imstat [ 4.24850000e-02 4.27110195e-02 1.53459766e+03 2.75058594e+02]
INFO : AT.py : Setting 'sigma' = 1.61773755835 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.61774 -1.30388 45.691 35 0.141624
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 6.72708000e-01 6.82357073e-01 1.53459766e+03 2.75058594e+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 : 13:30:26.440 +47.11.21.45 46.47 72.21 25.3 293 55.012 23.987 163.6 15.6
INFO : SFind2D_AT.py : 13:30:26.596 +47.11.11.89 46.18 70.47 30.7 231 60.946 17.523 144.5 19.0
INFO : SFind2D_AT.py : 13:30:25.926 +47.11.29.09 47.43 73.60 43.2 406 84.534 19.520 152.9 26.7
INFO : SFind2D_AT.py : 13:30:27.327 +47.11.59.66 44.84 79.16 24.5 119 27.500 27.500 0.1 15.1
INFO : SFind2D_AT.py : 13:30:29.426 +47.11.28.08 40.94 73.43 17.5 91.6 27.500 27.500 90.1 10.8
INFO : SFind2D_AT.py : 13:30:30.983 +47.12.04.39 38.07 80.03 16.4 79.6 27.500 27.500 0.1 10.1
INFO : SFind2D_AT.py : 13:30:29.885 +47.11.34.54 40.09 74.60 17.7 141 65.858 19.039 39.7 10.9
INFO : SFind2D_AT.py : 13:30:30.222 +47.10.47.60 39.45 66.07 19.8 75.8 27.500 27.500 0.1 12.2
INFO : SFind2D_AT.py : 13:30:25.349 +47.12.38.90 48.52 86.29 12.5 56.7 27.500 27.500 0.1 7.7
INFO : SFind2D_AT.py : 13:30:25.553 +47.12.17.55 48.13 82.41 0 907 134.652 71.138 103.0 0.0
INFO : SFind2D_AT.py : 13:30:36.021 +47.13.08.10 28.76 91.64 5 41.3 54.726 13.188 152.5 3.1
INFO : SFind2D_AT.py : 13:30:36.394 +47.12.59.13 28.07 90.01 7.8 32.5 51.258 11.945 153.3 4.8
INFO : SFind2D_AT.py : 13:30:19.585 +47.10.27.79 59.16 62.43 7.94 20.7 19.576 18.273 77.8 4.9
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 4.31177000e-01 4.36625957e-01 1.53459766e+03 2.75648438e+02]
REGRESSION : CONTFLUX: 13 2495.12
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
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 2.99720000e-01 3.17852020e-01 1.53459766e+03 2.75652344e+02]
TIMING : SFind2D END [ 1.493646 1.527246]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 9.359685 15.76579809]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 9.35969 15.7658 ]
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 [ 1.12539160e+01 1.64394477e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[48, 73, 300],1.377000
TIMING : CubeSpectrum CubeStats-pos [ 4.80150000e-02 4.81460094e-02 1.53459766e+03 2.75652344e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[48, 74],45.691010
TIMING : CubeSpectrum Moment-pos [ 4.25930000e-02 4.27160263e-02 1.53459766e+03 2.75652344e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h30m26.440s', '+47d11m21.45s'),25.282206
TIMING : CubeSpectrum SourceList-pos [ 3.58840000e-02 3.59740257e-02 1.53459766e+03 2.75652344e+02]
TIMING : CubeSpectrum open [ 1.21740000e-02 1.22430325e-02 1.53459766e+03 2.75652344e+02]
TIMING : CubeSpectrum imval [ 4.27760000e-02 4.29699421e-02 1.53459766e+03 2.76003906e+02]
TIMING : CubeSpectrum imhead [ 4.16020000e-02 4.17418480e-02 1.53459766e+03 2.76003906e+02]
TIMING : CubeSpectrum imval [ 2.55482000e-01 2.74146080e-01 1.53459766e+03 2.76066406e+02]
TIMING : CubeSpectrum imval [ 2.56187000e-01 2.75207043e-01 1.53459766e+03 2.76066406e+02]
REGRESSION : CSP: [1.3769999742507935, 0.72919619083404541, 1.2591121196746826]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.89148000e-01 3.08383942e-01 1.53459766e+03 2.76066406e+02]
TIMING : CubeSpectrum summary [ 1.24510000e-02 1.24931335e-02 1.53459766e+03 2.76066406e+02]
TIMING : CubeSpectrum END [ 1.048538 1.1062789]
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 [ 1.23627460e+01 1.64394477e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42900000e-02 2.43518353e-02 1.53459766e+03 2.76066406e+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 [ 13.25661 13.29016113 1534.59765625 276.55078125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [274, 318]
WARNING : specutil.py : 0 [260, 264]
WARNING : specutil.py : 1 [267, 297]
WARNING : specutil.py : 2 [301, 307]
WARNING : specutil.py : 0 [280, 327]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [242, 401]
TIMING : LineSegment segment finder [ 3.871688 3.88116884 1534.59765625 276.55078125]
INFO : LineSegment_AT.py : Segment Coverage 66 / 590 = 0.111864
REGRESSION : LINESEG: [[115.0582180141302, 115.1203273933374], [115.07071801497693, 115.08790551614119], [115.06524926460649, 115.06681176471233], [115.06798363979171, 115.07970239058552], [115.08126489069136, 115.08360864085013], [115.07306176513569, 115.09142114137933]]
TIMING : LineSegment done [ 2.312391 2.44531703 1558.31640625 300.23828125]
TIMING : LineSegment END [ 19.477389 19.65343881]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 30.169752 36.86644292]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 30.1698 36.8664 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 30.274171 37.05695891]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 30.2742 37.057 ]
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 [ 3.21932750e+01 1.64394479e+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 [ 8.317837 8.33844399 1558.31640625 300.23828125]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.121182 5.13396096 1558.31640625 300.23828125]
TIMING : LineID segment finder [ 1.40430000e-02 1.40869617e-02 1.55831641e+03 3.00238281e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [274, 318]
WARNING : specutil.py : 0 [260, 264]
WARNING : specutil.py : 1 [267, 297]
WARNING : specutil.py : 2 [301, 307]
WARNING : specutil.py : 0 [280, 327]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [242, 401]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 242 - 401
REGRESSION : LINEID: CO 115.27120 242 401
INFO : LineID_AT.py : Line Coverage 160 / 590 = 0.271186
TIMING : LineID done [ 17.055745 17.27310705 1656.34765625 398.01171875]
TIMING : LineID END [ 30.52292 30.77375197]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 61.124052 68.23982 ]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 61.1241 68.2398 ]
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 [ 6.29963490e+01 1.64394482e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.50775000e-01 1.51477098e-01 1.60691016e+03 3.48914062e+02]
TIMING : LineCube pad [ 1.34650000e-02 1.35078430e-02 1.60691016e+03 3.48914062e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 1.02256000e-01 1.74567223e-01 1.60691016e+03 3.49093750e+02]
REGRESSION : LC: [237, 406]
TIMING : LineCube done [ 2.52050000e-02 2.52928734e-02 1.60691016e+03 3.49152344e+02]
TIMING : LineCube END [ 0.304102 0.37727904]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 61.601449 68.85319805]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 61.6014 68.8532 ]
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 [ 6.35709130e+01 1.64394482e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.89580000e-02 4.90760803e-02 1.60691016e+03 3.49152344e+02]
TIMING : Moment immoments-0 [ 2.30806000e-01 3.14276934e-01 1.62585156e+03 3.67968750e+02]
TIMING : Moment mom0clip [ 7.03160000e-02 1.24465942e-01 1.62585156e+03 3.68156250e+02]
TIMING : Moment implot [ 9.77750000e-02 4.42321062e-01 1.62585156e+03 3.68214844e+02]
TIMING : Moment getdata [ 2.11600000e-02 2.12268829e-02 1.62585156e+03 3.68214844e+02]
TIMING : Moment ren+mask_0 [ 3.92781000e-01 3.97253036e-01 1.63133594e+03 3.73699219e+02]
TIMING : Moment done [ 1.48440000e-02 1.48830414e-02 1.63133594e+03 3.73699219e+02]
TIMING : Moment END [ 0.889006 1.37592697]
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 [ 6.45207690e+01 1.64394482e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86130000e-02 4.87220287e-02 1.63133594e+03 3.73699219e+02]
TIMING : Moment immoments-all [ 1.38433000e-01 3.29822063e-01 1.63133594e+03 3.73699219e+02]
TIMING : Moment mom0clip [ 6.96970000e-02 1.39539957e-01 1.63133594e+03 3.73699219e+02]
TIMING : Moment implot [ 9.63370000e-02 4.34350967e-01 1.63133594e+03 3.73699219e+02]
TIMING : Moment getdata [ 2.11970000e-02 2.12678909e-02 1.63133594e+03 3.73699219e+02]
TIMING : Moment ren+mask_0 [ 2.85018000e-01 2.90070057e-01 1.63108594e+03 3.73449219e+02]
TIMING : Moment makemask [ 1.53311000e-01 5.13467073e-01 1.63108594e+03 3.73898438e+02]
TIMING : Moment implot [ 7.83310000e-02 3.45100880e-01 1.63108594e+03 3.73898438e+02]
TIMING : Moment getdata [ 2.06370000e-02 2.07159519e-02 1.63108594e+03 3.73898438e+02]
TIMING : Moment ren+mask_1 [ 2.76132000e-01 2.81115055e-01 1.63108594e+03 3.74480469e+02]
TIMING : Moment makemask [ 1.52418000e-01 4.36831951e-01 1.63108594e+03 3.74480469e+02]
TIMING : Moment implot [ 7.77400000e-02 3.37227106e-01 1.63108594e+03 3.74480469e+02]
TIMING : Moment getdata [ 2.06640000e-02 2.07331181e-02 1.63108594e+03 3.74480469e+02]
TIMING : Moment ren+mask_2 [ 2.76891000e-01 2.81536818e-01 1.63108594e+03 3.74480469e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 2621.5 7068.47 0.0330578 473.231 473.231 48.6438
TIMING : Moment mom0flux [ 5.25850000e-02 5.27789593e-02 1.63108594e+03 3.74480469e+02]
TIMING : Moment flux-spectrum [ 4.82187000e-01 4.87447023e-01 1.63058594e+03 3.74210938e+02]
TIMING : Moment done [ 1.49080000e-02 1.49440765e-02 1.63058594e+03 3.74210938e+02]
TIMING : Moment END [ 2.277454 4.06807899]
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 [ 6.69067530e+01 1.64394483e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[48, 74],52.673618
TIMING : CubeSpectrum Moment-pos [ 5.48560000e-02 5.50019741e-02 1.63058594e+03 3.74210938e+02]
TIMING : CubeSpectrum open [ 1.23330000e-02 1.23679638e-02 1.63058594e+03 3.74210938e+02]
TIMING : CubeSpectrum imval [ 3.74090000e-02 3.75869274e-02 1.63058594e+03 3.74210938e+02]
TIMING : CubeSpectrum imhead [ 4.24780000e-02 4.26561832e-02 1.63058594e+03 3.74210938e+02]
REGRESSION : CSP: [1.2591121196746826]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.79854000e-01 2.85678864e-01 1.63058594e+03 3.74210938e+02]
TIMING : CubeSpectrum summary [ 1.25010000e-02 1.25329494e-02 1.63058594e+03 3.74210938e+02]
TIMING : CubeSpectrum END [ 0.451821 0.45825601]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp