INFO : AT.py : Setting {'basename': 'x', 'file': 'SEXTANS-A_92178.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_92178.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 [ 2.14171000e+00 1.64394532e+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 [ 1.67651000e-01 1.73125982e-01 1.41056250e+03 2.17218750e+02]
TIMING : Ingest importfits [ 1.08169000e-01 2.41050005e-01 1.41057812e+03 2.18183594e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.45340000e-02 1.50444031e-01 1.41308203e+03 2.21359375e+02]
TIMING : Ingest summary-0 [ 1.38950000e-02 1.39420033e-02 1.41308203e+03 2.21359375e+02]
TIMING : Ingest mask [ 2.72680000e-02 3.71921062e-02 1.41308203e+03 2.21617188e+02]
TIMING : Ingest summary-1 [ 1.33000000e-02 1.71799660e-02 1.41308203e+03 2.21617188e+02]
TIMING : Ingest statistics [ 4.44170000e-02 4.45368290e-02 1.41111719e+03 2.20839844e+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] 1442766 -0.379148 0.420259
INFO : Ingest_AT.py : S/N (all data): 5.454134
INFO : Ingest_AT.py : GOOD PIXELS: 1442766/2084225 (69.223140% good or 30.776860% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.379148 0.420259 0.0770533 55 55 689 30.776860
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 [ 5.59009000e-01 5.63839197e-01 1.41468750e+03 2.24937500e+02]
TIMING : Ingest END [ 1.000258 1.25336003]
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 [ 3.20223600e+00 1.64394532e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.19960000e-02 5.22110462e-02 1.41393750e+03 2.24761719e+02]
TIMING : CubeStats start [ 1.24610000e-02 1.24979019e-02 1.41393750e+03 2.24761719e+02]
TIMING : CubeStats imstat0 [ 1.31717000e-01 1.32160187e-01 1.43180078e+03 2.43000000e+02]
TIMING : CubeStats imstat1 [ 1.43627000e-01 1.44067049e-01 1.43452734e+03 2.45570312e+02]
INFO : CubeStats_AT.py : sigma varies from 0.070292 to 0.084291; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 7.45101000e-01 7.47633934e-01 1.43452734e+03 2.45609375e+02]
INFO : CubeStats_AT.py : CubeMax: 0.420259 @ [22 11 43 0]
INFO : CubeStats_AT.py : CubeMin: -0.379148 @ [ 53 32 430 0]
INFO : CubeStats_AT.py : CubeRMS: 0.076918
INFO : CubeStats_AT.py : RMS Sanity check 1.001753
REGRESSION : CST: 0.076918 1.001753
INFO : CubeStats_AT.py : mean,rms,S/N=-0.000087 0.076918 5.463693
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.118345 1.110131
TIMING : CubeStats plotting [ 2.35453 2.52500796 1458.6796875 268.296875 ]
TIMING : CubeStats done [ 1.36000000e-02 1.36370659e-02 1.45867969e+03 2.68296875e+02]
TIMING : CubeStats summary [ 1.22170000e-02 1.22590065e-02 1.45867969e+03 2.68296875e+02]
TIMING : CubeStats END [ 3.477417 3.65167904]
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 [ 6.74001800e+00 1.64394532e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.076918
TIMING : CubeSum start [ 5.23410000e-02 5.24909496e-02 1.45867969e+03 2.68296875e+02]
TIMING : CubeSum immoments [ 5.95840000e-02 1.07743025e-01 1.45867969e+03 2.68675781e+02]
TIMING : CubeSum statistics [ 1.97600000e-02 1.98440552e-02 1.45867969e+03 2.68675781e+02]
INFO : CubeSum_AT.py : Total flux: 158.541434 (sum=5.241038)
REGRESSION : CSM: [158.54143394297307, 5.2410376139450818]
TIMING : CubeSum implot [ 1.41568000e-01 6.08389592e+00 1.53068359e+03 2.68703125e+02]
TIMING : CubeSum getdata [ 2.11610000e-02 2.12190151e-02 1.53068359e+03 2.68703125e+02]
TIMING : CubeSum done [ 2.40711000e-01 2.59469986e-01 1.53068359e+03 2.68769531e+02]
TIMING : CubeSum END [ 0.548803 6.55838299]
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 [ 7.34886100e+00 1.64394533e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.33900000e-02 3.34880352e-02 1.53068359e+03 2.68769531e+02]
TIMING : SFind2D imstat [ 4.03410000e-02 4.05669212e-02 1.53068359e+03 2.68769531e+02]
INFO : AT.py : Setting 'sigma' = 0.34287370981 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.342874 -0.657114 0.954059 35 1.43754
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.32730000e-02 1.01603031e-01 1.53068359e+03 2.69195312e+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 [ 2.81144000e-01 3.04991007e-01 1.53068359e+03 2.69195312e+02]
TIMING : SFind2D END [ 0.461779 0.49432397]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.073523 12.60286307]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.07352 12.6029 ]
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 [ 8.02510700e+00 1.64394533e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[22, 11, 43],0.420259
TIMING : CubeSpectrum CubeStats-pos [ 4.84230000e-02 4.85560894e-02 1.53068359e+03 2.69195312e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[48, 43],0.954059
TIMING : CubeSpectrum Moment-pos [ 4.20550000e-02 4.21748161e-02 1.53068359e+03 2.69195312e+02]
TIMING : CubeSpectrum open [ 1.23620000e-02 1.23970509e-02 1.53068359e+03 2.69195312e+02]
TIMING : CubeSpectrum imval [ 4.38820000e-02 4.40759659e-02 1.53068359e+03 2.69652344e+02]
TIMING : CubeSpectrum imhead [ 4.13540000e-02 4.14969921e-02 1.53068359e+03 2.69652344e+02]
TIMING : CubeSpectrum imval [ 2.59505000e-01 2.78325081e-01 1.53043359e+03 2.69531250e+02]
REGRESSION : CSP: [0.42025882005691528, 0.31870374083518982]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.95638000e-01 3.15156937e-01 1.53043359e+03 2.69531250e+02]
TIMING : CubeSpectrum summary [ 1.23820000e-02 1.24111176e-02 1.53043359e+03 2.69531250e+02]
TIMING : CubeSpectrum END [ 0.767771 0.80679703]
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 [ 8.85290800e+00 1.64394533e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42760000e-02 2.43391991e-02 1.53043359e+03 2.69531250e+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 [ 10.453554 10.47944689 1530.43359375 270.01953125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.707639 2.71412897 1530.43359375 270.01953125]
INFO : LineSegment_AT.py : Segment Coverage 0 / 689 = 0
REGRESSION : LINESEG: []
TIMING : LineSegment done [ 1.959803 2.06685305 1558.03515625 297.57421875]
TIMING : LineSegment END [ 15.157673 15.2972002]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 22.268696 29.02575111]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 22.2687 29.0258 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 22.363867 29.18901896]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 22.3639 29.189 ]
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 [ 2.43394510e+01 1.64394535e+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 [ 4.986654 4.99864697 1558.03515625 297.71484375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.591075 5.60472393 1558.03515625 297.71484375]
TIMING : LineID segment finder [ 1.37420000e-02 1.37801170e-02 1.55803516e+03 2.97714844e+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 [ 14.382154 14.56628084 1613.1171875 352.65625 ]
TIMING : LineID END [ 24.987499 25.19734406]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 47.662643 54.77292109]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 47.6626 54.7729 ]
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 [ 4.95907190e+01 1.64394537e+09]
TIMING : LineCube BEGIN [ 0. 0.]
INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting.
TIMING : ADMITrun END [ 47.841896 55.06740594]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 47.8419 55.0674 ]
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 [ 4.98181440e+01 1.64394537e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88870000e-02 4.90088463e-02 1.61311719e+03 3.52656250e+02]
TIMING : Moment immoments-all [ 8.53490000e-02 3.89402151e-01 1.61311719e+03 3.52656250e+02]
TIMING : Moment mom0clip [ 6.81750000e-02 1.28095865e-01 1.61311719e+03 3.52656250e+02]
TIMING : Moment implot [ 9.72390000e-02 3.47218037e-01 1.61979688e+03 3.59503906e+02]
TIMING : Moment getdata [ 2.05310000e-02 2.06129551e-02 1.61979688e+03 3.59503906e+02]
TIMING : Moment ren+mask_0 [ 3.80435000e-01 3.85668993e-01 1.62466016e+03 3.64367188e+02]
TIMING : Moment makemask [ 1.52673000e-01 5.45449018e-01 1.62466016e+03 3.64718750e+02]
TIMING : Moment implot [ 7.94010000e-02 3.19612026e-01 1.62466016e+03 3.65359375e+02]
TIMING : Moment getdata [ 1.99510000e-02 2.00240612e-02 1.62466016e+03 3.65359375e+02]
TIMING : Moment ren+mask_1 [ 2.63375000e-01 2.67862082e-01 1.62442188e+03 3.65121094e+02]
TIMING : Moment makemask [ 1.47643000e-01 5.62351942e-01 1.62442188e+03 3.65121094e+02]
TIMING : Moment implot [ 7.69000000e-02 3.13296080e-01 1.62442188e+03 3.65121094e+02]
TIMING : Moment getdata [ 2.01140000e-02 2.07698345e-02 1.62442188e+03 3.65121094e+02]
TIMING : Moment ren+mask_2 [ 2.54791000e-01 2.60905027e-01 1.62417188e+03 3.64871094e+02]
REGRESSION : MOM0FLUX: SPW_FULL -26.1523 81.971 0.0330578 316.858 316.858 126.301
TIMING : Moment mom0flux [ 5.07160000e-02 5.11691570e-02 1.62417188e+03 3.64871094e+02]
TIMING : Moment flux-spectrum [ 3.98644000e-01 4.04085875e-01 1.62367188e+03 3.64550781e+02]
TIMING : Moment done [ 1.47810000e-02 1.55680180e-02 1.62367188e+03 3.64550781e+02]
TIMING : Moment END [ 2.191889 4.11342597]
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