INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92177_92787.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_92787.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 [ 2.10850800e+00 1.64394577e+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 [ 1.70810000e-01 1.77006006e-01 1.41056250e+03 2.16429688e+02]
TIMING : Ingest importfits [ 1.10999000e-01 1.76351070e-01 1.41057031e+03 2.17718750e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.82630000e-02 1.88870907e-01 1.41307422e+03 2.21207031e+02]
TIMING : Ingest summary-0 [ 1.41790000e-02 1.42359734e-02 1.41307422e+03 2.21207031e+02]
TIMING : Ingest mask [ 2.85310000e-02 6.36761189e-02 1.41307422e+03 2.21207031e+02]
TIMING : Ingest summary-1 [ 1.41570000e-02 1.91819668e-02 1.41307422e+03 2.21207031e+02]
TIMING : Ingest statistics [ 4.63520000e-02 4.64730263e-02 1.43282031e+03 2.42007812e+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] 1475149 -0.253272 0.236836
INFO : Ingest_AT.py : S/N (all data): 4.911600
INFO : Ingest_AT.py : GOOD PIXELS: 1475149/2084225 (70.776860% good or 29.223140% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.253272 0.236836 0.0482198 55 55 689 29.223140
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 [ 5.58148000e-01 5.63372850e-01 1.43582031e+03 2.45277344e+02]
TIMING : Ingest END [ 1.013505 1.26129389]
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 [ 3.18250500e+00 1.64394577e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.22930000e-02 5.25059700e-02 1.43482031e+03 2.44800781e+02]
TIMING : CubeStats start [ 1.24330000e-02 1.24769211e-02 1.43482031e+03 2.44800781e+02]
TIMING : CubeStats imstat0 [ 1.28553000e-01 1.28965139e-01 1.43283203e+03 2.43273438e+02]
TIMING : CubeStats imstat1 [ 1.41523000e-01 1.41960859e-01 1.43452734e+03 2.44812500e+02]
INFO : CubeStats_AT.py : sigma varies from 0.044126 to 0.053220; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.52209000e-01 7.54770041e-01 1.43452734e+03 2.44972656e+02]
INFO : CubeStats_AT.py : CubeMax: 0.236836 @ [ 43 4 340 0]
INFO : CubeStats_AT.py : CubeMin: -0.253272 @ [ 15 46 625 0]
INFO : CubeStats_AT.py : CubeRMS: 0.048193
INFO : CubeStats_AT.py : RMS Sanity check 1.000548
REGRESSION : CST: 0.048193 1.000548
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000102 0.048193 4.914292
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.100070 1.120496
TIMING : CubeStats plotting [ 2.395481 2.56577301 1458.6171875 267.33203125]
TIMING : CubeStats done [ 1.37770000e-02 1.38161182e-02 1.45861719e+03 2.67332031e+02]
TIMING : CubeStats summary [ 1.23060000e-02 1.23519897e-02 1.45861719e+03 2.67332031e+02]
TIMING : CubeStats END [ 3.520749 3.69483304]
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 [ 6.76353000e+00 1.64394577e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.048193
TIMING : CubeSum start [ 5.22420000e-02 5.23860455e-02 1.45861719e+03 2.67332031e+02]
TIMING : CubeSum immoments [ 6.10010000e-02 1.40684843e-01 1.45861719e+03 2.67777344e+02]
TIMING : CubeSum statistics [ 2.00890000e-02 2.01811790e-02 1.45861719e+03 2.67777344e+02]
INFO : CubeSum_AT.py : Total flux: -1.583844 (sum=-0.052358)
REGRESSION : CSM: [-1.583843894285488, -0.052358460612595081]
TIMING : CubeSum implot [ 1.44084000e-01 6.08449388e+00 1.53062109e+03 2.67816406e+02]
TIMING : CubeSum getdata [ 2.12430000e-02 2.13119984e-02 1.53062109e+03 2.67816406e+02]
TIMING : CubeSum done [ 2.42291000e-01 2.60864019e-01 1.53062109e+03 2.67886719e+02]
TIMING : CubeSum END [ 0.554479 6.59348106]
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 [ 7.37816500e+00 1.64394578e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.32640000e-02 3.33600044e-02 1.53062109e+03 2.67886719e+02]
TIMING : SFind2D imstat [ 4.03270000e-02 4.05569077e-02 1.53062109e+03 2.68003906e+02]
INFO : AT.py : Setting 'sigma' = 0.213551036254 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.213551 -0.240987 0.410426 35 2.08126
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.05280000e-02 1.79882050e-01 1.53062109e+03 2.68003906e+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 [ 2.89482000e-01 3.28065157e-01 1.53062109e+03 2.68343750e+02]
TIMING : SFind2D END [ 0.467175 0.595469]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.144316 12.79494214]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.14432 12.7949 ]
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 [ 8.06087400e+00 1.64394578e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[43, 4, 340],0.236836
TIMING : CubeSpectrum CubeStats-pos [ 4.79160000e-02 4.80341911e-02 1.53062109e+03 2.68343750e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[52, 8],0.410426
TIMING : CubeSpectrum Moment-pos [ 4.17990000e-02 4.19209003e-02 1.53062109e+03 2.68343750e+02]
TIMING : CubeSpectrum open [ 1.22310000e-02 1.22621059e-02 1.53062109e+03 2.68343750e+02]
TIMING : CubeSpectrum imval [ 4.38740000e-02 4.40919399e-02 1.53062109e+03 2.69000000e+02]
TIMING : CubeSpectrum imhead [ 4.14780000e-02 4.16250229e-02 1.53062109e+03 2.69000000e+02]
TIMING : CubeSpectrum imval [ 2.76750000e-01 2.95595884e-01 1.53062109e+03 2.69183594e+02]
REGRESSION : CSP: [0.23683629930019379, 0.21093025803565979]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.07556000e-01 3.26705933e-01 1.53062109e+03 2.69183594e+02]
TIMING : CubeSpectrum summary [ 1.23960000e-02 1.24371052e-02 1.53062109e+03 2.69183594e+02]
TIMING : CubeSpectrum END [ 0.796087 0.83479118]
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 [ 8.91711700e+00 1.64394578e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42580000e-02 2.43198872e-02 1.53062109e+03 2.69183594e+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 [ 10.2767 10.30166316 1530.62109375 269.58203125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.695097 2.70151782 1530.62109375 269.58203125]
INFO : LineSegment_AT.py : Segment Coverage 0 / 689 = 0
REGRESSION : LINESEG: []
TIMING : LineSegment done [ 2.195675 2.30135417 1559.984375 298.86328125]
TIMING : LineSegment END [ 15.204212 15.34136796]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 22.418624 29.29760218]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 22.4186 29.2976 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 22.518942 29.48287511]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 22.5189 29.4829 ]
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 [ 2.44606300e+01 1.64394580e+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 [ 5.024257 5.03644395 1559.984375 298.9453125 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.44871 5.46267009 1559.984375 298.9453125 ]
TIMING : LineID segment finder [ 1.42510000e-02 1.42970085e-02 1.55998438e+03 2.98945312e+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 [ 13.669567 13.87410903 1611.5078125 350.59375 ]
TIMING : LineID END [ 24.170893 24.40166712]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 46.997341 54.25252604]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.9973 54.2525 ]
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 [ 4.88905840e+01 1.64394582e+09]
TIMING : LineCube BEGIN [ 0. 0.]
INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting.
TIMING : ADMITrun END [ 47.173909 54.51711607]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 47.1739 54.5171 ]
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 [ 4.91151370e+01 1.64394582e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86090000e-02 4.87279892e-02 1.61150781e+03 3.50593750e+02]
TIMING : Moment immoments-all [ 8.54340000e-02 2.41522789e-01 1.61945703e+03 3.58492188e+02]
TIMING : Moment mom0clip [ 6.89970000e-02 1.53613091e-01 1.61945703e+03 3.58644531e+02]
TIMING : Moment implot [ 1.00501000e-01 3.52360964e-01 1.61945703e+03 3.58644531e+02]
TIMING : Moment getdata [ 2.17640000e-02 2.18341351e-02 1.61945703e+03 3.58644531e+02]
TIMING : Moment ren+mask_0 [ 4.41661000e-01 4.46909904e-01 1.62854297e+03 3.67656250e+02]
TIMING : Moment makemask [ 1.55340000e-01 4.20023918e-01 1.62854297e+03 3.67777344e+02]
TIMING : Moment implot [ 8.35200000e-02 3.31538200e-01 1.62854297e+03 3.68566406e+02]
TIMING : Moment getdata [ 2.16590000e-02 2.17349529e-02 1.62854297e+03 3.68566406e+02]
TIMING : Moment ren+mask_1 [ 3.14242000e-01 3.19483995e-01 1.62804297e+03 3.68066406e+02]
TIMING : Moment makemask [ 1.54914000e-01 4.85152006e-01 1.62804297e+03 3.68066406e+02]
TIMING : Moment implot [ 8.24850000e-02 3.24048996e-01 1.62804297e+03 3.68066406e+02]
TIMING : Moment getdata [ 2.12670000e-02 2.13308334e-02 1.62804297e+03 3.68066406e+02]
TIMING : Moment ren+mask_2 [ 2.99358000e-01 3.03871155e-01 1.62804297e+03 3.68066406e+02]
REGRESSION : MOM0FLUX: SPW_FULL -12.2211 67.7447 0.0330578 339.488 339.488 86.8036
TIMING : Moment mom0flux [ 5.18790000e-02 5.20279408e-02 1.62804297e+03 3.68066406e+02]
TIMING : Moment flux-spectrum [ 4.43263000e-01 4.48607922e-01 1.62679297e+03 3.66816406e+02]
TIMING : Moment done [ 1.57420000e-02 1.64442062e-02 1.62679297e+03 3.66816406e+02]
TIMING : Moment END [ 2.422816 4.0214808]
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