INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_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_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 [ 2.12646100e+00 1.64394558e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: SEXTANS-A SHAPE: [ 45 45 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.56681000e-01 1.62197113e-01 1.41035938e+03 2.16921875e+02]
TIMING : Ingest importfits [ 1.01676000e-01 1.45344973e-01 1.41062109e+03 2.18414062e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.24790000e-02 7.47001171e-02 1.41269922e+03 2.21253906e+02]
TIMING : Ingest summary-0 [ 1.36550000e-02 1.37147903e-02 1.41269922e+03 2.21253906e+02]
TIMING : Ingest mask [ 2.42080000e-02 3.54771614e-02 1.41282812e+03 2.21601562e+02]
TIMING : Ingest summary-1 [ 1.31920000e-02 1.75740719e-02 1.41282812e+03 2.21601562e+02]
TIMING : Ingest statistics [ 3.48940000e-02 3.49857807e-02 1.41178906e+03 2.21648438e+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: [ 45 45 689 1] 1061060 -0.507820 0.520158
INFO : Ingest_AT.py : S/N (all data): 5.201643
INFO : Ingest_AT.py : GOOD PIXELS: 1061060/1395225 (76.049383% good or 23.950617% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.50782 0.520158 0.0999988 45 45 689 23.950617
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 22.000000
INFO : Ingest_AT.py : DEC Axis 2: -4.704639 5.500001 22.000000
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 [ 5.50022000e-01 5.55418015e-01 1.41471484e+03 2.24765625e+02]
TIMING : Ingest END [ 0.958862 1.05150104]
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 [ 3.14589400e+00 1.64394558e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.24740000e-02 5.27129173e-02 1.41410938e+03 2.24484375e+02]
TIMING : CubeStats start [ 1.26220000e-02 1.26659870e-02 1.41410938e+03 2.24484375e+02]
TIMING : CubeStats imstat0 [ 1.04590000e-01 1.04950905e-01 1.42728906e+03 2.38218750e+02]
TIMING : CubeStats imstat1 [ 1.18065000e-01 1.18558168e-01 1.42798438e+03 2.38722656e+02]
INFO : CubeStats_AT.py : sigma varies from 0.088619 to 0.112031; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.35402000e-01 7.37965822e-01 1.42798438e+03 2.38964844e+02]
INFO : CubeStats_AT.py : CubeMax: 0.520158 @ [ 34 41 444 0]
INFO : CubeStats_AT.py : CubeMin: -0.507820 @ [ 31 44 592 0]
INFO : CubeStats_AT.py : CubeRMS: 0.099899
INFO : CubeStats_AT.py : RMS Sanity check 1.001002
REGRESSION : CST: 0.099899 1.001002
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000267 0.099899 5.206854
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.136977 1.152722
TIMING : CubeStats plotting [ 2.559235 2.73192501 1456.0546875 265.1328125 ]
TIMING : CubeStats done [ 1.44790000e-02 1.45120621e-02 1.45605469e+03 2.65132812e+02]
TIMING : CubeStats summary [ 1.23230000e-02 1.23739243e-02 1.45605469e+03 2.65132812e+02]
TIMING : CubeStats END [ 3.621425 3.79793596]
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 [ 6.82762100e+00 1.64394558e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.099899
TIMING : CubeSum start [ 5.24880000e-02 5.26349545e-02 1.45605469e+03 2.65132812e+02]
TIMING : CubeSum immoments [ 5.64530000e-02 9.96899605e-02 1.45605469e+03 2.65640625e+02]
TIMING : CubeSum statistics [ 2.02280000e-02 2.02980042e-02 1.45605469e+03 2.65640625e+02]
INFO : CubeSum_AT.py : Total flux: 4.333769 (sum=0.143265)
REGRESSION : CSM: [4.3337692457263524, 0.14326505735516548]
TIMING : CubeSum implot [ 1.50340000e-01 6.10040307e+00 1.52805859e+03 2.65718750e+02]
TIMING : CubeSum getdata [ 2.32290000e-02 2.33170986e-02 1.52805859e+03 2.65718750e+02]
TIMING : CubeSum done [ 2.97725000e-01 3.16795826e-01 1.52983984e+03 2.67628906e+02]
TIMING : CubeSum END [ 0.614953 6.627666]
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 [ 7.50911000e+00 1.64394559e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.43760000e-02 3.44851017e-02 1.52983984e+03 2.67628906e+02]
TIMING : SFind2D imstat [ 4.13780000e-02 4.16009426e-02 1.52983984e+03 2.67628906e+02]
INFO : AT.py : Setting 'sigma' = 0.435906269959 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.435906 -0.515905 0.825283 35 2.11276
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.01420000e-02 1.22334003e-01 1.52983984e+03 2.68027344e+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 [ 3.18022000e-01 3.41161966e-01 1.52983984e+03 2.68027344e+02]
TIMING : SFind2D END [ 0.498696 0.55439615]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.285405 12.67966819]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.2854 12.6797 ]
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 [ 8.22445900e+00 1.64394559e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[34, 41, 444],0.520158
TIMING : CubeSpectrum CubeStats-pos [ 4.84860000e-02 4.86099720e-02 1.52983984e+03 2.68027344e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[43, 35],0.825283
TIMING : CubeSpectrum Moment-pos [ 4.27150000e-02 4.28371429e-02 1.52983984e+03 2.68027344e+02]
TIMING : CubeSpectrum open [ 1.22120000e-02 1.22480392e-02 1.52983984e+03 2.68027344e+02]
TIMING : CubeSpectrum imval [ 4.51730000e-02 4.53858376e-02 1.52983984e+03 2.68683594e+02]
TIMING : CubeSpectrum imhead [ 4.17930000e-02 4.19600010e-02 1.52983984e+03 2.68683594e+02]
TIMING : CubeSpectrum imval [ 3.08428000e-01 3.27815056e-01 1.52983984e+03 2.68820312e+02]
REGRESSION : CSP: [0.40954631567001343, 0.52015781402587891]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.13063000e-01 3.32211018e-01 1.52983984e+03 2.68820312e+02]
TIMING : CubeSpectrum summary [ 1.23840000e-02 1.24120712e-02 1.52983984e+03 2.68820312e+02]
TIMING : CubeSpectrum END [ 0.836349 0.87562418]
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 [ 9.12083500e+00 1.64394559e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43100000e-02 2.43701935e-02 1.52983984e+03 2.68820312e+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 [ 11.890848 11.91934586 1529.83984375 269.3046875 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.709546 2.7159071 1529.83984375 269.3046875 ]
INFO : LineSegment_AT.py : Segment Coverage 0 / 689 = 0
REGRESSION : LINESEG: []
TIMING : LineSegment done [ 1.997175 2.1068399 1559.31640625 298.73828125]
TIMING : LineSegment END [ 16.634472 16.77909303]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 24.026795 30.65424109]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.0268 30.6542 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 24.122984 30.8023622]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.123 30.8024 ]
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 [ 2.60859460e+01 1.64394561e+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 [ 5.043728 5.05620909 1559.31640625 298.79296875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 6.987641 7.00481391 1559.31640625 298.79296875]
TIMING : LineID segment finder [ 1.38020000e-02 1.38370991e-02 1.55931641e+03 2.98792969e+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 [ 14.277981 14.45992184 1611.4921875 350.984375 ]
TIMING : LineID END [ 26.33822 26.54969907]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 50.774656 57.72740507]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.7747 57.7274 ]
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 [ 5.26907580e+01 1.64394564e+09]
TIMING : LineCube BEGIN [ 0. 0.]
INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting.
TIMING : ADMITrun END [ 50.957218 57.98651505]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.9572 57.9865 ]
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 [ 5.29206410e+01 1.64394564e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88200000e-02 4.89459038e-02 1.61149219e+03 3.50984375e+02]
TIMING : Moment immoments-all [ 8.32770000e-02 3.04604053e-01 1.61149219e+03 3.50984375e+02]
TIMING : Moment mom0clip [ 6.92790000e-02 1.14661932e-01 1.61149219e+03 3.50984375e+02]
TIMING : Moment implot [ 1.02894000e-01 3.58572960e-01 1.61817188e+03 3.57695312e+02]
TIMING : Moment getdata [ 2.23150000e-02 2.26991177e-02 1.61817188e+03 3.57695312e+02]
TIMING : Moment ren+mask_0 [ 4.16074000e-01 4.22668934e-01 1.62802734e+03 3.67550781e+02]
TIMING : Moment makemask [ 1.57784000e-01 4.50022936e-01 1.62802734e+03 3.68628906e+02]
TIMING : Moment implot [ 9.21250000e-02 3.47336054e-01 1.62802734e+03 3.68628906e+02]
TIMING : Moment getdata [ 2.11410000e-02 2.12008953e-02 1.62802734e+03 3.68628906e+02]
TIMING : Moment ren+mask_1 [ 2.99403000e-01 3.05390120e-01 1.62727734e+03 3.67878906e+02]
TIMING : Moment makemask [ 1.50814000e-01 7.04708099e-01 1.62727734e+03 3.67878906e+02]
TIMING : Moment implot [ 8.53270000e-02 3.09247971e-01 1.62727734e+03 3.67878906e+02]
TIMING : Moment getdata [ 2.15610000e-02 2.16178894e-02 1.62727734e+03 3.67878906e+02]
TIMING : Moment ren+mask_2 [ 3.07874000e-01 3.12758923e-01 1.62677734e+03 3.67378906e+02]
REGRESSION : MOM0FLUX: SPW_FULL -134.229 107.867 0.0330578 313.196 313.196 106.437
TIMING : Moment mom0flux [ 5.18680000e-02 5.20250797e-02 1.62677734e+03 3.67378906e+02]
TIMING : Moment flux-spectrum [ 4.35847000e-01 4.41066980e-01 1.62577734e+03 3.66378906e+02]
TIMING : Moment done [ 1.56850000e-02 1.57239437e-02 1.62577734e+03 3.66378906e+02]
TIMING : Moment END [ 2.394435 4.26564884]
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