INFO : AT.py : Setting {'basename': 'x', 'file': 'test253_cont.fits'} for Ingest_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing Ingest_AT - '' (V1.1.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : box : []
INFO : file : test253_cont.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -999999.99
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 3.98000000e+00 1.59663816e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.30000000e-01 1.32354975e-01 1.24831250e+03 1.69507812e+02]
TIMING : Ingest importfits [ 1.40000000e-01 1.44398928e-01 1.25354297e+03 1.76261719e+02]
INFO : Ingest_AT.py : SHAPE: [341 341 1 1]
TIMING : Ingest summary-0 [ 5.00000000e-02 5.16378880e-02 1.25354297e+03 1.76308594e+02]
TIMING : Ingest mask [ 2.00000000e-02 2.16510296e-02 1.25420703e+03 1.77269531e+02]
TIMING : Ingest summary-1 [ 2.00000000e-02 1.73671246e-02 1.25420703e+03 1.77503906e+02]
TIMING : Ingest statistics [ 3.00000000e-02 2.25210190e-02 1.34225000e+03 1.77984375e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 1.7804838717, 'unit': 'arcsec'}, 'pa': {'value': 79.6689910889, 'unit': 'deg'}, 'minor': {'value': 1.3912437949343999, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [341 341 1 1] 116281 -0.000408 0.083280
INFO : Ingest_AT.py : S/N (all data): 44.755746
INFO : Ingest_AT.py : GOOD PIXELS: 116281/116281 (100.000000% good or 0.000000% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0004078 0.0832795 0.00186076 341 341 1 0.000000
INFO : Ingest_AT.py : TELESCOPE: ALMA
INFO : Ingest_AT.py : OBJECT: NGC253
INFO : Ingest_AT.py : REFFREQTYPE: Undefined
INFO : Ingest_AT.py : VLSR = 236.000000 (from source catalog)
INFO : Ingest_AT.py : RA Axis 1: 11.888107 -0.250000 166.000000
INFO : Ingest_AT.py : DEC Axis 2: -25.288194 0.250000 166.000000
TIMING : Ingest done [ 6.90000000e-01 6.72804785e+00 1.42171484e+03 1.86625000e+02]
TIMING : Ingest END [ 1.1 7.13389683]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im
TIMING : ADMITrun END [ 1.4 7.47605705]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 1.4 7.47606 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.1.0)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : False
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 5.28000000e+00 1.59663816e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 6.00000000e-02 6.05440140e-02 1.42196484e+03 1.87089844e+02]
TIMING : CubeStats start [ 1.00000000e-02 1.59649849e-02 1.42196484e+03 1.87140625e+02]
TIMING : CubeStats imstat0 [ 1.00000000e-01 4.04829979e-02 2.12940625e+03 1.90195312e+02]
TIMING : CubeStats imstat1 [ 8.00000000e-02 4.10211086e-02 2.12953906e+03 1.90265625e+02]
INFO : CubeStats_AT.py : sigma varies from 0.000111 to 0.000111; 1/1 channels ok
INFO : CubeStats_AT.py : CubeMax: 0.083280 @ [164 166 0 0]
INFO : CubeStats_AT.py : CubeMin: -0.000408 @ [228 191 0 0]
INFO : CubeStats_AT.py : CubeRMS: 0.000111
INFO : CubeStats_AT.py : RMS Sanity check 16.705105
WARNING : CubeStats_AT.py : RMS sanity check = 16.705105. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.000111 16.705105
INFO : CubeStats_AT.py : mean,rms,S/N=0.000095 0.000111 747.649445
TIMING : CubeStats plotting [ 2.50000000e-01 2.45272875e-01 2.12953906e+03 1.90488281e+02]
TIMING : CubeStats done [ 1.00000000e-02 1.58569813e-02 2.12953906e+03 1.90492188e+02]
TIMING : CubeStats summary [ 2.00000000e-02 1.57461166e-02 2.12953906e+03 1.90492188e+02]
TIMING : CubeStats END [ 0.54 0.45064998]
INFO : AT.py : BDP_OUT[0] = CubeStats_BDP x.cst
INFO :
INFO :
INFO : Executing SFind2D_AT - '' (V1.1.1)
INFO :
INFO :
INFO : Run using the following settings:
INFO : nmax : 30
INFO : numsigma : 6.0
INFO : snmax : 35.0
INFO : region :
INFO : zoom : 1
INFO : robust : ['hin', 1.5]
INFO : sigma : -1.0
INFO :
TIMING : SFind2D ADMIT [ 5.90000000e+00 1.59663816e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 4.00000000e-02 4.35469151e-02 2.12953906e+03 1.90492188e+02]
INFO : AT.py : Setting 'sigma' = 0.000111388459949 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.000111388 -0.0004078 0.0832795 35 0.0285714
TIMING : SFind2D findsources [ 9.00000000e-02 9.17890072e-02 2.12953906e+03 1.90710938e+02]
INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR
INFO : SFind2D_AT.py : Jy/beam Jy arcsec arcsec deg
INFO : SFind2D_AT.py : 00:47:33.173 -25.17.17.56 164.49 165.74 0.0786 0.163 2.717 1.849 52.0 705.9
INFO : SFind2D_AT.py : 00:47:33.012 -25.17.19.70 173.22 157.16 0.0375 0.131 4.948 1.829 52.0 336.3
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.10000000e-01 2.04579115e-01 2.12953906e+03 1.90957031e+02]
REGRESSION : CONTFLUX: 2 0.293768
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 1.78 arcsec , Minor axis: 1.39 arcsec , PA: 79.7 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 4.90000000e-01 7.55717039e-01 2.14093359e+03 2.02519531e+02]
TIMING : SFind2D END [ 0.85 1.11218691]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x.sl