INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177.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 :  SEXTANS-A_92177.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 [  2.32199000e+00   1.64394505e+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  [  1.70578000e-01   1.77485943e-01   1.41056250e+03   2.18554688e+02]
TIMING : Ingest importfits  [  1.09669000e-01   1.55076027e-01   1.41057812e+03   2.19859375e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes  [  5.47430000e-02   7.56330490e-02   1.41310938e+03   2.22980469e+02]
TIMING : Ingest summary-0  [  1.44180000e-02   1.44751072e-02   1.41310938e+03   2.22980469e+02]
TIMING : Ingest mask  [  2.76170000e-02   3.72369289e-02   1.41310938e+03   2.23324219e+02]
TIMING : Ingest summary-1  [  1.34920000e-02   1.71790123e-02   1.41310938e+03   2.23324219e+02]
TIMING : Ingest statistics  [  4.46770000e-02   4.47919369e-02   1.41113281e+03   2.22570312e+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] 1432431 -0.385837 0.394241
INFO : Ingest_AT.py : S/N (all data): 5.146262
INFO : Ingest_AT.py : GOOD PIXELS: 1432431/2084225 (68.727273% good or 31.272727% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.385837 0.394241 0.0766073  55 55 689  31.272727
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  [  5.71171000e-01   5.86194038e-01   1.41469531e+03   2.26351562e+02]
TIMING : Ingest END [ 1.018384    1.12012506]
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 [  3.40070000e+00   1.64394505e+09]
TIMING : CubeStats BEGIN [ 0.  0.]
TIMING : CubeStats imval  [  5.27660000e-02   5.29890060e-02   1.41394531e+03   2.25921875e+02]
TIMING : CubeStats start  [  1.23030000e-02   1.23450756e-02   1.41394531e+03   2.25921875e+02]
TIMING : CubeStats imstat0  [  1.20491000e-01   1.20894909e-01   1.43180469e+03   2.44351562e+02]
TIMING : CubeStats imstat1  [  1.37771000e-01   1.38224125e-01   1.43451953e+03   2.46902344e+02]
INFO : CubeStats_AT.py : sigma varies from 0.069245 to 0.084276; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp  [  7.48447000e-01   7.51076937e-01   1.43451953e+03   2.47070312e+02]
INFO : CubeStats_AT.py : CubeMax: 0.394241 @ [ 54  35 430   0]
INFO : CubeStats_AT.py : CubeMin: -0.385837 @ [ 38  37 452   0]
INFO : CubeStats_AT.py : CubeRMS: 0.076471
INFO : CubeStats_AT.py : RMS Sanity check 1.001779
REGRESSION : CST: 0.076471 1.001779
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000087 0.076471 5.155416
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.128947 1.130177
TIMING : CubeStats plotting  [    2.294078       2.46560597  1458.42578125   269.375     ]
TIMING : CubeStats done  [  1.35630000e-02   1.36029720e-02   1.45842578e+03   2.69375000e+02]
TIMING : CubeStats summary  [  1.22740000e-02   1.23200417e-02   1.45842578e+03   2.69375000e+02]
TIMING : CubeStats END [ 3.403939    3.57934403]
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 [  6.86476900e+00   1.64394505e+09]
TIMING : CubeSum BEGIN [ 0.  0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.076471
TIMING : CubeSum start  [  5.20410000e-02   5.21848202e-02   1.45842578e+03   2.69375000e+02]
TIMING : CubeSum immoments  [  5.94290000e-02   1.02954149e-01   1.45842578e+03   2.69820312e+02]
TIMING : CubeSum statistics  [  2.06390000e-02   2.07378864e-02   1.45842578e+03   2.69820312e+02]
INFO : CubeSum_AT.py : Total flux: -17.436072 (sum=-0.576399)
REGRESSION : CSM: [-17.436072072342238, -0.57639890909194946]
TIMING : CubeSum implot  [  1.40625000e-01   6.06704807e+00   1.53042969e+03   2.69855469e+02]
TIMING : CubeSum getdata  [  2.10950000e-02   2.11839676e-02   1.53042969e+03   2.69855469e+02]
TIMING : CubeSum done  [  2.32006000e-01   2.50909090e-01   1.53042969e+03   2.69921875e+02]
TIMING : CubeSum END [ 0.539322    6.52855396]
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 [  7.46410700e+00   1.64394506e+09]
TIMING : SFind2D BEGIN [ 0.  0.]
TIMING : SFind2D start  [  3.35030000e-02   3.36568356e-02   1.53042969e+03   2.69921875e+02]
TIMING : SFind2D imstat  [  4.06530000e-02   4.09460068e-02   1.53042969e+03   2.69921875e+02]
INFO : AT.py : Setting 'sigma' = 0.329799380703 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.329799 -0.391979 0.400518 35 3.29373
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources  [  9.01360000e-02   9.98880863e-02   1.53042969e+03   2.69921875e+02]
REGRESSION : CONTFLUX: 0 0
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  [  2.59271000e-01   3.08544874e-01   1.53042969e+03   2.70378906e+02]
TIMING : SFind2D END [ 0.437009    0.49652195]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [  5.993481    12.38391089]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.99348 12.3839 ]
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 [  8.11441000e+00   1.64394506e+09]
TIMING : CubeSpectrum BEGIN [ 0.  0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[54, 35, 430],0.394241
TIMING : CubeSpectrum CubeStats-pos  [  4.89150000e-02   4.90410328e-02   1.53042969e+03   2.70378906e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[54, 35],0.400518
TIMING : CubeSpectrum Moment-pos  [  4.23310000e-02   4.24559116e-02   1.53042969e+03   2.70378906e+02]
TIMING : CubeSpectrum open  [  1.21890000e-02   1.22709274e-02   1.53042969e+03   2.70378906e+02]
TIMING : CubeSpectrum imval  [  4.38490000e-02   4.40480709e-02   1.53042969e+03   2.71035156e+02]
TIMING : CubeSpectrum imhead  [  4.12870000e-02   4.14469242e-02   1.53042969e+03   2.71035156e+02]
REGRESSION : CSP: [0.39424145221710205]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done  [  2.70961000e-01   2.89096117e-01   1.53042969e+03   2.71218750e+02]
TIMING : CubeSpectrum summary  [  1.23700000e-02   1.24011040e-02   1.53042969e+03   2.71218750e+02]
TIMING : CubeSpectrum END [ 0.483949    0.50284004]
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 [  8.65831500e+00   1.64394506e+09]
TIMING : LineSegment BEGIN [ 0.  0.]
TIMING : LineSegment start  [  2.44760000e-02   2.45389938e-02   1.53042969e+03   2.71218750e+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  [    7.806695       7.83232117  1530.4296875    271.70703125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder  [    2.050147       2.05600381  1530.4296875    271.70703125]
INFO : LineSegment_AT.py :  Segment Coverage 0 / 689 = 0
REGRESSION : LINESEG: []
TIMING : LineSegment done  [  1.52789300e+00   1.61257815e+00   1.55511328e+03   2.96339844e+02]
TIMING : LineSegment END [ 11.421566    11.53783202]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 18.151468    24.72404194]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18.1515 24.724 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 18.249202    24.87756991]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18.2492 24.8776 ]
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 [  2.03927280e+01   1.64394507e+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  [    2.545506       2.55183887  1555.11328125   296.3984375 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats  [    5.35477        5.37136912  1555.11328125   296.3984375 ]
TIMING : LineID segment finder  [  1.34810000e-02   1.35450363e-02   1.55511328e+03   2.96398438e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineID_AT.py : Detecting segments in CubeStats based data
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
WARNING : LineID_AT.py : No lines detected by LineID.
TIMING : LineID nolines  [   10.325461      10.47705388  1610.671875     352.08203125]
TIMING : LineID END [ 18.253304    18.42793489]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 36.782945    43.64372802]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.7829 43.6437 ]
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 [  3.88798560e+01   1.64394509e+09]
TIMING : LineCube BEGIN [ 0.  0.]
INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting.
TIMING : ADMITrun END [ 36.957132    43.88177586]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 36.9571 43.8818 ]
INFO : AT.py : Setting 'moments' = [0, 1, 2] 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 - '' (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 [  3.91036220e+01   1.64394509e+09]
TIMING : Moment BEGIN [ 0.  0.]
TIMING : Moment open  [  4.80040000e-02   4.81398106e-02   1.61067188e+03   3.52082031e+02]
TIMING : Moment immoments-all  [  8.58230000e-02   3.72411013e-01   1.61067188e+03   3.52082031e+02]
TIMING : Moment mom0clip  [  6.83900000e-02   1.04006052e-01   1.61067188e+03   3.52234375e+02]
TIMING : Moment implot  [  9.65170000e-02   3.45854998e-01   1.61735547e+03   3.58792969e+02]
TIMING : Moment getdata  [  2.03980000e-02   2.04799175e-02   1.61735547e+03   3.58792969e+02]
TIMING : Moment ren+mask_0  [  3.23916000e-01   3.28974009e-01   1.61833594e+03   3.59773438e+02]
TIMING : Moment makemask  [  1.48661000e-01   3.99378061e-01   1.61833594e+03   3.59835938e+02]
TIMING : Moment implot  [  7.78230000e-02   3.39545012e-01   1.61833594e+03   3.60683594e+02]
TIMING : Moment getdata  [  2.01550000e-02   2.02260017e-02   1.61833594e+03   3.60683594e+02]
TIMING : Moment ren+mask_1  [  2.51976000e-01   2.56534100e-01   1.61683594e+03   3.59183594e+02]
TIMING : Moment makemask  [  1.48329000e-01   4.60710049e-01   1.61683594e+03   3.59183594e+02]
TIMING : Moment implot  [  7.67460000e-02   3.24521780e-01   1.61683594e+03   3.59183594e+02]
TIMING : Moment getdata  [  1.99940000e-02   2.00572014e-02   1.61683594e+03   3.59183594e+02]
TIMING : Moment ren+mask_2  [  2.44467000e-01   2.49625921e-01   1.61583594e+03   3.58183594e+02]
REGRESSION : MOM0FLUX: SPW_FULL -30.5372 92.7874 0.0330578 299.868 299.868 85.2858
TIMING : Moment mom0flux  [  5.05190000e-02   5.06689548e-02   1.61583594e+03   3.58183594e+02]
TIMING : Moment flux-spectrum  [  3.84500000e-01   3.90156984e-01   1.61483594e+03   3.57183594e+02]
TIMING : Moment done  [  1.46590000e-02   1.46989822e-02   1.61483594e+03   3.57183594e+02]
TIMING : Moment END [ 2.093043    3.75820684]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.mom_2