INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_90911.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 : NGC5194_90911.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 [ 2.22930300e+00 1.64394393e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [145 145 590]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.70348000e-01 2.77225018e-01 1.41106641e+03 2.18085938e+02]
TIMING : Ingest importfits [ 1.80751000e-01 3.46338987e-01 1.41125391e+03 2.19265625e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 7.64480000e-02 2.20573902e-01 1.41177734e+03 2.20929688e+02]
TIMING : Ingest summary-0 [ 1.42580000e-02 1.43811703e-02 1.41177734e+03 2.20929688e+02]
TIMING : Ingest mask [ 6.82820000e-02 1.11690998e-01 1.41177734e+03 2.20929688e+02]
TIMING : Ingest summary-1 [ 1.40300000e-02 1.83429718e-02 1.41177734e+03 2.20929688e+02]
TIMING : Ingest statistics [ 1.07357000e-01 1.07614994e-01 1.41177734e+03 2.21644531e+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: [145 145 590 1] 8803980 -0.075473 0.515486
INFO : Ingest_AT.py : S/N (all data): 26.282239
INFO : Ingest_AT.py : GOOD PIXELS: 8803980/12404750 (70.972652% good or 29.027348% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.075473 0.515486 0.0196135 145 145 590 29.027348
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 72.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 6.250000 72.000000
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 [ 6.16721000e-01 6.40721083e-01 1.41482031e+03 2.25281250e+02]
TIMING : Ingest END [ 1.360167 1.74889612]
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 [ 3.64977600e+00 1.64394393e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.24540000e-02 5.33530712e-02 1.41572656e+03 2.26500000e+02]
TIMING : CubeStats start [ 1.24610000e-02 1.25100613e-02 1.41572656e+03 2.26500000e+02]
TIMING : CubeStats imstat0 [ 4.67738000e-01 4.69627857e-01 1.41454297e+03 2.26042969e+02]
TIMING : CubeStats imstat1 [ 5.55793000e-01 5.57277203e-01 1.41407031e+03 2.25753906e+02]
INFO : CubeStats_AT.py : sigma varies from 0.005508 to 0.017503; 590/590 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0110157 (3.17789 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.91183000e-01 8.94399881e-01 1.42085547e+03 2.32417969e+02]
INFO : CubeStats_AT.py : CubeMax: 0.515486 @ [ 73 67 262 0]
INFO : CubeStats_AT.py : CubeMin: -0.075473 @ [22 74 24 0]
INFO : CubeStats_AT.py : CubeRMS: 0.011058
INFO : CubeStats_AT.py : RMS Sanity check 1.773730
WARNING : CubeStats_AT.py : RMS sanity check = 1.773730. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.011058 1.773730
INFO : CubeStats_AT.py : mean,rms,S/N=0.000660 0.011058 46.617601
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 3.112381 3.695236
TIMING : CubeStats plotting [ 2.284084 2.47552609 1455.0234375 264.91015625]
TIMING : CubeStats done [ 1.36090000e-02 1.36539936e-02 1.45502344e+03 2.64910156e+02]
TIMING : CubeStats summary [ 1.21440000e-02 1.21970177e-02 1.45502344e+03 2.64910156e+02]
TIMING : CubeStats END [ 4.301584 4.50070715]
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 [ 8.01076600e+00 1.64394394e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.011058
TIMING : CubeSum start [ 5.22860000e-02 5.24411201e-02 1.45502344e+03 2.64914062e+02]
TIMING : CubeSum immoments [ 1.50369000e-01 2.13248968e-01 1.46258594e+03 2.72925781e+02]
TIMING : CubeSum statistics [ 2.02790000e-02 2.03609467e-02 1.46258594e+03 2.72925781e+02]
INFO : CubeSum_AT.py : Total flux: 471818.169703 (sum=12078.546690)
REGRESSION : CSM: [471818.16970338766, 12078.546690460651]
TIMING : CubeSum implot [ 1.44118000e-01 6.10233712e+00 1.53458984e+03 2.72953125e+02]
TIMING : CubeSum getdata [ 2.16430000e-02 2.17628479e-02 1.53458984e+03 2.72953125e+02]
TIMING : CubeSum done [ 2.33118000e-01 2.52663136e-01 1.53458984e+03 2.73015625e+02]
TIMING : CubeSum END [ 0.635119 6.67617416]
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 [ 8.70555800e+00 1.64394395e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.37520000e-02 3.39019299e-02 1.53458984e+03 2.73015625e+02]
TIMING : SFind2D imstat [ 4.20930000e-02 4.23920155e-02 1.53458984e+03 2.73015625e+02]
INFO : AT.py : Setting 'sigma' = 1.54276131191 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.54276 -0.808097 29.9848 35 0.205806
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 6.93601000e-01 7.04015017e-01 1.53458984e+03 2.73015625e+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 : 13:29:51.552 +47.11.34.26 73.88 70.66 24.9 763 91.906 58.215 4.1 16.2
INFO : SFind2D_AT.py : 13:30:00.263 +47.13.02.45 59.68 84.78 9.5 228 110.492 45.434 148.1 6.2
INFO : SFind2D_AT.py : 13:29:45.294 +47.10.16.46 84.09 58.22 8.42 236 97.725 57.178 154.4 5.5
INFO : SFind2D_AT.py : 13:29:45.791 +47.11.59.84 83.27 74.76 9.03 41.9 31.250 31.250 180.0 5.9
INFO : SFind2D_AT.py : 13:29:44.921 +47.10.09.07 84.70 57.04 8.32 324 170.389 47.513 126.2 5.4
INFO : SFind2D_AT.py : 13:30:02.072 +47.12.29.29 56.72 79.47 7.61 36.1 31.250 31.250 90.0 4.9
INFO : SFind2D_AT.py : 13:30:01.128 +47.11.54.48 58.26 73.90 7.6 33.9 31.250 31.250 90.0 4.9
INFO : SFind2D_AT.py : 13:29:56.600 +47.13.51.64 65.65 92.65 6.41 30.6 31.250 31.250 0.0 4.2
INFO : SFind2D_AT.py : 13:29:51.980 +47.09.31.69 73.18 51.05 5.88 106 96.496 36.820 102.2 3.8
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 3.32218000e-01 3.38086843e-01 1.53458984e+03 2.73562500e+02]
REGRESSION : CONTFLUX: 9 1798.53
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
TIMING : SFind2D done [ 2.73727000e-01 2.92479992e-01 1.53458984e+03 2.73601562e+02]
TIMING : SFind2D END [ 1.388791 1.42431998]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.259781 14.97979498]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.25978 14.9798 ]
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 [ 1.03027090e+01 1.64394395e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[73, 67, 262],0.515486
TIMING : CubeSpectrum CubeStats-pos [ 4.77150000e-02 4.78491783e-02 1.53458984e+03 2.73601562e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[75, 70],29.984840
TIMING : CubeSpectrum Moment-pos [ 4.24080000e-02 4.25348282e-02 1.53458984e+03 2.73601562e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m51.552s', '+47d11m34.26s'),24.932289
TIMING : CubeSpectrum SourceList-pos [ 3.58710000e-02 3.59599590e-02 1.53458984e+03 2.73601562e+02]
TIMING : CubeSpectrum open [ 1.21800000e-02 1.22151375e-02 1.53458984e+03 2.73601562e+02]
TIMING : CubeSpectrum imval [ 4.70530000e-02 4.72900867e-02 1.53458984e+03 2.73957031e+02]
TIMING : CubeSpectrum imhead [ 4.44700000e-02 4.46279049e-02 1.53458984e+03 2.73957031e+02]
TIMING : CubeSpectrum imval [ 2.35584000e-01 2.54175901e-01 1.53458984e+03 2.73957031e+02]
TIMING : CubeSpectrum imval [ 2.56398000e-01 2.75398016e-01 1.53458984e+03 2.74019531e+02]
REGRESSION : CSP: [0.33226931095123291, 0.51548552513122559, 0.46312695741653442]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.72022000e-01 2.91336060e-01 1.53458984e+03 2.74019531e+02]
TIMING : CubeSpectrum summary [ 1.26670000e-02 1.27060413e-02 1.53458984e+03 2.74019531e+02]
TIMING : CubeSpectrum END [ 1.01877 1.07653308]
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 [ 1.13825340e+01 1.64394395e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.46870000e-02 2.47550011e-02 1.53458984e+03 2.74019531e+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 [ 26.875842 26.95541978 1534.58984375 274.58203125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [37, 40]
WARNING : specutil.py : 1 [235, 400]
WARNING : specutil.py : 0 [224, 320]
WARNING : specutil.py : 1 [328, 334]
WARNING : specutil.py : 2 [339, 347]
WARNING : specutil.py : 3 [387, 390]
WARNING : specutil.py : 0 [241, 376]
WARNING : specutil.py : 1 [387, 390]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [224, 417]
WARNING : specutil.py : 1 [427, 429]
WARNING : specutil.py : 0 [36, 39]
WARNING : specutil.py : 1 [65, 68]
WARNING : specutil.py : 2 [100, 103]
WARNING : specutil.py : 3 [136, 140]
WARNING : specutil.py : 4 [218, 222]
WARNING : specutil.py : 5 [551, 554]
TIMING : LineSegment segment finder [ 4.501586 4.51259804 1534.58984375 274.58203125]
INFO : LineSegment_AT.py : Segment Coverage 181 / 590 = 0.30678
REGRESSION : LINESEG: [[115.05118676365392, 115.12657739376077], [115.13048364402538, 115.1312648940783], [114.97774925867935, 114.97892113375873], [114.9890773844467, 114.99024925952608], [115.00274926037282, 115.00392113545219], [115.0168117613254, 115.01837426143123], [115.04884301349514, 115.05040551360098], [115.17892114730647, 115.18009302238585], [114.97813988370581, 114.97931175878519], [115.05548363894498, 115.11993676831095], [115.05118676365392, 115.0886867661941], [115.0918117664058, 115.09415551656456], [115.09610864169686, 115.09923364190854], [115.11485864296696, 115.11603051804634], [115.05782738910375, 115.11056176767589], [115.11485864296696, 115.11603051804634]]
TIMING : LineSegment done [ 2.188597 2.320961 1558.78125 298.64453125]
TIMING : LineSegment END [ 33.603042 33.82610583]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 43.157797 50.2135272]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 43.1578 50.2135 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 43.255398 50.37002015]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 43.2554 50.37 ]
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 [ 4.53235270e+01 1.64394398e+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 [ 16.973565 17.01939106 1558.78125 298.6484375 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.073011 10.09831095 1558.78125 298.6484375 ]
TIMING : LineID segment finder [ 1.43290000e-02 1.43709183e-02 1.55878125e+03 2.98648438e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [37, 40]
WARNING : specutil.py : 1 [235, 400]
WARNING : specutil.py : 0 [224, 320]
WARNING : specutil.py : 1 [328, 334]
WARNING : specutil.py : 2 [339, 347]
WARNING : specutil.py : 3 [387, 390]
WARNING : specutil.py : 0 [241, 376]
WARNING : specutil.py : 1 [387, 390]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [224, 417]
WARNING : specutil.py : 1 [427, 429]
WARNING : specutil.py : 0 [36, 39]
WARNING : specutil.py : 1 [65, 68]
WARNING : specutil.py : 2 [100, 103]
WARNING : specutil.py : 3 [136, 140]
WARNING : specutil.py : 4 [218, 222]
WARNING : specutil.py : 5 [551, 554]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit.
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 36 - 554
REGRESSION : LINEID: CO 115.27120 36 554
INFO : LineID_AT.py : Line Coverage 519 / 590 = 0.879661
TIMING : LineID done [ 16.714832 16.90557003 1656.3359375 396.28515625]
TIMING : LineID END [ 43.789727 44.05167007]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 87.371767 94.81573105]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 87.3718 94.8157 ]
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 [ 8.93927100e+01 1.64394403e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.24271000e-01 1.24914885e-01 1.60689844e+03 3.47007812e+02]
TIMING : LineCube pad [ 1.30110000e-02 1.30479336e-02 1.60689844e+03 3.47007812e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 1.10872000e-01 1.68368101e-01 1.60689844e+03 3.47250000e+02]
REGRESSION : LC: [31, 559]
TIMING : LineCube done [ 2.49800000e-02 2.50449181e-02 1.60689844e+03 3.47250000e+02]
TIMING : LineCube END [ 0.285481 0.34375978]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 87.828439 95.38981819]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 87.8284 95.3898 ]
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 [ 8.99455310e+01 1.64394403e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86820000e-02 4.88040447e-02 1.60689844e+03 3.47250000e+02]
TIMING : Moment immoments-0 [ 1.59030000e-01 2.21357822e-01 1.62566406e+03 3.65890625e+02]
TIMING : Moment mom0clip [ 7.11260000e-02 2.39927053e-01 1.62566406e+03 3.66078125e+02]
TIMING : Moment implot [ 1.08109000e-01 3.76441002e-01 1.62566406e+03 3.66136719e+02]
TIMING : Moment getdata [ 2.10640000e-02 2.11310387e-02 1.62566406e+03 3.66136719e+02]
TIMING : Moment ren+mask_0 [ 3.36067000e-01 3.41219902e-01 1.63082422e+03 3.71296875e+02]
TIMING : Moment done [ 1.51680000e-02 1.52301788e-02 1.63082422e+03 3.71296875e+02]
TIMING : Moment END [ 0.771678 1.27660894]
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 [ 9.07783130e+01 1.64394403e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85710000e-02 4.87489700e-02 1.63082422e+03 3.71296875e+02]
TIMING : Moment immoments-all [ 1.71932000e-01 3.75452042e-01 1.63082422e+03 3.71296875e+02]
TIMING : Moment mom0clip [ 7.04690000e-02 2.37957954e-01 1.63082422e+03 3.71296875e+02]
TIMING : Moment implot [ 9.41600000e-02 3.77850056e-01 1.63082422e+03 3.71296875e+02]
TIMING : Moment getdata [ 2.14150000e-02 2.14960575e-02 1.63082422e+03 3.71296875e+02]
TIMING : Moment ren+mask_0 [ 2.62769000e-01 2.67509937e-01 1.63057422e+03 3.71046875e+02]
TIMING : Moment makemask [ 1.55752000e-01 8.56826067e-01 1.63057422e+03 3.71492188e+02]
TIMING : Moment implot [ 7.79430000e-02 3.15141916e-01 1.63057422e+03 3.71492188e+02]
TIMING : Moment getdata [ 2.11170000e-02 2.11970806e-02 1.63057422e+03 3.71492188e+02]
TIMING : Moment ren+mask_1 [ 2.64981000e-01 2.69732952e-01 1.63057422e+03 3.71949219e+02]
TIMING : Moment makemask [ 1.53732000e-01 3.78539085e-01 1.63057422e+03 3.71949219e+02]
TIMING : Moment implot [ 7.65720000e-02 3.06303978e-01 1.63057422e+03 3.71949219e+02]
TIMING : Moment getdata [ 2.06470000e-02 2.07219124e-02 1.63057422e+03 3.71949219e+02]
TIMING : Moment ren+mask_2 [ 2.55059000e-01 2.59809017e-01 1.63057422e+03 3.71949219e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 10426.5 7370.82 0.0256 465.294 465.294 42.4682
TIMING : Moment mom0flux [ 5.18560000e-02 5.20060062e-02 1.63057422e+03 3.71949219e+02]
TIMING : Moment flux-spectrum [ 7.27551000e-01 7.33294010e-01 1.63032422e+03 3.71710938e+02]
TIMING : Moment done [ 1.48070000e-02 1.48549080e-02 1.63032422e+03 3.71710938e+02]
TIMING : Moment END [ 2.501621 4.56978011]
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 [ 9.33875660e+01 1.64394403e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[75, 70],30.523739
TIMING : CubeSpectrum Moment-pos [ 5.45350000e-02 5.46960831e-02 1.63032422e+03 3.71710938e+02]
TIMING : CubeSpectrum open [ 1.23740000e-02 1.24108791e-02 1.63032422e+03 3.71710938e+02]
TIMING : CubeSpectrum imval [ 4.05120000e-02 4.07021046e-02 1.63032422e+03 3.71710938e+02]
TIMING : CubeSpectrum imhead [ 4.25940000e-02 4.27529812e-02 1.63032422e+03 3.71710938e+02]
REGRESSION : CSP: [0.46312695741653442]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.58015000e-01 2.61708021e-01 1.63007422e+03 3.71460938e+02]
TIMING : CubeSpectrum summary [ 1.25830000e-02 1.26168728e-02 1.63007422e+03 3.71460938e+02]
TIMING : CubeSpectrum END [ 0.432938 0.43725014]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp