INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85824.nfs.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 : Region_J-K_85824.nfs.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 [ 2.06440800e+00 1.64394311e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: Region_J-K SHAPE: [ 91 91 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.96195000e-01 2.03284979e-01 1.41021875e+03 2.17093750e+02]
TIMING : Ingest importfits [ 1.34912000e-01 2.28847980e-01 1.41095703e+03 2.18320312e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.40040000e-02 2.53926039e-01 1.41556641e+03 2.23820312e+02]
TIMING : Ingest summary-0 [ 1.42170000e-02 1.43020153e-02 1.41556641e+03 2.23820312e+02]
TIMING : Ingest mask [ 4.32780000e-02 8.77859592e-02 1.41556641e+03 2.24167969e+02]
TIMING : Ingest summary-1 [ 1.36850000e-02 1.78360939e-02 1.41556641e+03 2.24167969e+02]
TIMING : Ingest statistics [ 6.62870000e-02 6.64389133e-02 1.41670312e+03 2.26398438e+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: [ 91 91 689 1] 4869163 -0.090834 0.777210
INFO : Ingest_AT.py : S/N (all data): 31.780266
INFO : Ingest_AT.py : GOOD PIXELS: 4869163/5705609 (85.339935% good or 14.660065% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0908337 0.77721 0.0244557 91 91 689 14.660065
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: Region_J-K
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 45.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 45.000000
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: 115.25 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.384822 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -295.492064 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = -295.492064 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.76561000e-01 5.84861994e-01 1.41945312e+03 2.29859375e+02]
TIMING : Ingest END [ 1.121248 1.46942401]
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 [ 3.24615500e+00 1.64394311e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.20410000e-02 5.28540611e-02 1.41870312e+03 2.29714844e+02]
TIMING : CubeStats start [ 1.23660000e-02 1.24058723e-02 1.41870312e+03 2.29714844e+02]
TIMING : CubeStats imstat0 [ 2.41431000e-01 2.42677212e-01 1.44747656e+03 2.58777344e+02]
TIMING : CubeStats imstat1 [ 3.00041000e-01 3.00788879e-01 1.47939453e+03 2.90753906e+02]
INFO : CubeStats_AT.py : sigma varies from 0.007625 to 0.027186; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0152508 (3.5652 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.35340000e-01 8.38148117e-01 1.47939453e+03 2.90878906e+02]
INFO : CubeStats_AT.py : CubeMax: 0.777210 @ [ 54 34 324 0]
INFO : CubeStats_AT.py : CubeMin: -0.090834 @ [ 41 71 456 0]
INFO : CubeStats_AT.py : CubeRMS: 0.014854
INFO : CubeStats_AT.py : RMS Sanity check 1.646395
WARNING : CubeStats_AT.py : RMS sanity check = 1.646395. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.014854 1.646395
INFO : CubeStats_AT.py : mean,rms,S/N=0.001907 0.014854 52.322875
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.099883 2.411432
TIMING : CubeStats plotting [ 2.296366 2.49018884 1488.8984375 298.8125 ]
TIMING : CubeStats done [ 1.35630000e-02 1.35970116e-02 1.48889844e+03 2.98812500e+02]
TIMING : CubeStats summary [ 1.21940000e-02 1.22389793e-02 1.48889844e+03 2.98812500e+02]
TIMING : CubeStats END [ 3.775476 3.97507095]
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 [ 7.08146700e+00 1.64394312e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.014854
TIMING : CubeSum start [ 5.17730000e-02 5.24561405e-02 1.48889844e+03 2.98812500e+02]
TIMING : CubeSum immoments [ 9.46210000e-02 1.67165041e-01 1.48889844e+03 2.99117188e+02]
TIMING : CubeSum statistics [ 1.99250000e-02 2.00028419e-02 1.48889844e+03 2.99117188e+02]
INFO : CubeSum_AT.py : Total flux: 161555.511120 (sum=5340.676500)
REGRESSION : CSM: [161555.51112046328, 5340.6764999175757]
TIMING : CubeSum implot [ 1.43419000e-01 6.09378099e+00 1.56090234e+03 2.99160156e+02]
TIMING : CubeSum getdata [ 2.13840000e-02 2.14509964e-02 1.56090234e+03 2.99160156e+02]
TIMING : CubeSum done [ 2.56087000e-01 2.74775028e-01 1.56090234e+03 2.99222656e+02]
TIMING : CubeSum END [ 0.601047 6.64351201]
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 [ 7.74229800e+00 1.64394312e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.36930000e-02 3.38041782e-02 1.56090234e+03 2.99222656e+02]
TIMING : SFind2D imstat [ 4.11240000e-02 4.13570404e-02 1.56090234e+03 2.99222656e+02]
INFO : AT.py : Setting 'sigma' = 0.650839954277 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.65084 -1.02803 13.035 35 0.199721
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 2.46877000e-01 2.89003849e-01 1.56090234e+03 2.99222656e+02]
INFO : SFind2D_AT.py : Right Ascen. Declination X(pix) Y(pix) Peak Flux Major Minor PA SNR
INFO : SFind2D_AT.py : K.km/s Jy arcsec arcsec deg
INFO : SFind2D_AT.py : 00:42:38.777 +41.32.02.54 38.72 58.31 12.7 271 93.628 37.771 69.7 19.6
INFO : SFind2D_AT.py : 00:42:31.350 +41.29.47.75 53.89 33.81 10.7 175 61.125 38.719 42.8 16.4
INFO : SFind2D_AT.py : 00:42:43.190 +41.33.00.38 29.71 68.83 10.2 244 72.679 52.176 8.7 15.6
INFO : SFind2D_AT.py : 00:42:29.004 +41.29.03.70 58.68 25.80 8.42 162 74.418 42.744 19.9 12.9
INFO : SFind2D_AT.py : 00:42:25.028 +41.28.17.44 66.81 17.39 4.98 82.1 67.775 35.575 53.8 7.7
INFO : SFind2D_AT.py : 00:42:46.584 +41.32.40.34 22.78 65.19 2.68 12.5 27.500 27.500 90.0 4.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.56037000e-01 2.60931969e-01 1.56090234e+03 2.99886719e+02]
REGRESSION : CONTFLUX: 6 945.936
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 [ 2.81663000e-01 3.00103188e-01 1.56090234e+03 2.99937500e+02]
TIMING : SFind2D END [ 0.873125 0.93897009]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.951805 13.66486883]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.95181 13.6649 ]
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 [ 8.82947000e+00 1.64394313e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[54, 34, 324],0.777210
TIMING : CubeSpectrum CubeStats-pos [ 4.79490000e-02 4.80649471e-02 1.56090234e+03 2.99937500e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],13.035013
TIMING : CubeSpectrum Moment-pos [ 4.18400000e-02 4.19740677e-02 1.56090234e+03 2.99937500e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m38.777s', '+41d32m02.54s'),12.747886
TIMING : CubeSpectrum SourceList-pos [ 3.58390000e-02 3.59530449e-02 1.56090234e+03 2.99937500e+02]
TIMING : CubeSpectrum open [ 1.21210000e-02 1.21550560e-02 1.56090234e+03 2.99937500e+02]
TIMING : CubeSpectrum imval [ 4.34690000e-02 4.36608791e-02 1.56090234e+03 3.00296875e+02]
TIMING : CubeSpectrum imhead [ 4.16970000e-02 4.18510437e-02 1.56090234e+03 3.00296875e+02]
TIMING : CubeSpectrum imval [ 2.31340000e-01 2.50246048e-01 1.56090234e+03 3.00304688e+02]
TIMING : CubeSpectrum imval [ 2.65660000e-01 2.85055876e-01 1.56090234e+03 3.00367188e+02]
REGRESSION : CSP: [0.5920255184173584, 0.77720963954925537, 0.5920255184173584]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.82629000e-01 3.01213026e-01 1.56090234e+03 3.00367188e+02]
TIMING : CubeSpectrum summary [ 1.25210000e-02 1.25501156e-02 1.56090234e+03 3.00367188e+02]
TIMING : CubeSpectrum END [ 1.027408 1.08510399]
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 [ 9.91784400e+00 1.64394313e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42920000e-02 2.43589878e-02 1.56090234e+03 3.00367188e+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 [ 36.182786 36.27138591 1560.90234375 300.921875 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [295, 334]
WARNING : specutil.py : 1 [448, 452]
WARNING : specutil.py : 2 [505, 511]
WARNING : specutil.py : 3 [585, 590]
WARNING : specutil.py : 0 [90, 94]
WARNING : specutil.py : 1 [160, 163]
WARNING : specutil.py : 2 [220, 226]
WARNING : specutil.py : 3 [258, 261]
WARNING : specutil.py : 4 [299, 302]
WARNING : specutil.py : 5 [309, 339]
WARNING : specutil.py : 6 [407, 411]
WARNING : specutil.py : 7 [420, 424]
WARNING : specutil.py : 8 [463, 479]
WARNING : specutil.py : 9 [484, 499]
WARNING : specutil.py : 10 [611, 622]
WARNING : specutil.py : 11 [635, 640]
WARNING : specutil.py : 12 [677, 685]
WARNING : specutil.py : 0 [295, 334]
WARNING : specutil.py : 1 [448, 452]
WARNING : specutil.py : 2 [505, 511]
WARNING : specutil.py : 3 [585, 590]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [152, 155]
WARNING : specutil.py : 1 [281, 354]
WARNING : specutil.py : 2 [506, 509]
WARNING : specutil.py : 3 [567, 571]
WARNING : specutil.py : 4 [597, 600]
WARNING : specutil.py : 0 [649, 652]
TIMING : LineSegment segment finder [ 5.168889 5.1820631 1560.90234375 300.921875 ]
INFO : LineSegment_AT.py : Segment Coverage 153 / 689 = 0.222061
REGRESSION : LINESEG: [[115.3098216830261, 115.31099355810548], [115.3602123114395, 115.3887279383711], [115.44810294239309, 115.44927481747247], [115.47193106900717, 115.47349356911302], [115.483649819801, 115.48482169488037], [115.50396232117693, 115.50513419625632], [115.36568106180994, 115.38091543784191], [115.42544669085838, 115.42700919096423], [115.44771231736664, 115.4500560675254], [115.47896231948346, 115.48091544461577], [115.28560293138555, 115.28716543149139], [115.3129466832378, 115.31411855831718], [115.33638418482541, 115.33872793498418], [115.35122793583091, 115.3523998109103], [115.36724356191579, 115.36841543699516], [115.37114981218039, 115.3828685629742], [115.40943106477351, 115.41099356487935], [115.4145091901175, 115.41607169022335], [115.43130606625529, 115.43755606667867], [115.43950919181096, 115.44536856720786], [115.48911857017143, 115.49341544546249], [115.49849357080649, 115.50044669593878], [115.51489982191782, 115.5180248221295], [115.36568106180994, 115.38091543784191], [115.42544669085838, 115.42700919096423], [115.44771231736664, 115.4500560675254], [115.47896231948346, 115.48091544461577]]
TIMING : LineSegment done [ 2.287808 2.41865277 1581.31640625 321.2734375 ]
TIMING : LineSegment END [ 43.676097 43.90881586]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 51.942277 59.00060201]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 51.9423 59.0006 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 52.043501 59.16218996]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 52.0435 59.1622 ]
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 [ 5.39463480e+01 1.64394317e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = -295.49 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -295.492
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 21.920838 21.97549295 1581.31640625 321.33984375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 14.593051 14.62913609 1581.31640625 321.33984375]
TIMING : LineID segment finder [ 1.42520000e-02 1.42920017e-02 1.58131641e+03 3.21339844e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [295, 334]
WARNING : specutil.py : 1 [448, 452]
WARNING : specutil.py : 2 [505, 511]
WARNING : specutil.py : 3 [585, 590]
WARNING : specutil.py : 0 [90, 94]
WARNING : specutil.py : 1 [160, 163]
WARNING : specutil.py : 2 [220, 226]
WARNING : specutil.py : 3 [258, 261]
WARNING : specutil.py : 4 [299, 302]
WARNING : specutil.py : 5 [309, 339]
WARNING : specutil.py : 6 [407, 411]
WARNING : specutil.py : 7 [420, 424]
WARNING : specutil.py : 8 [463, 479]
WARNING : specutil.py : 9 [484, 499]
WARNING : specutil.py : 10 [611, 622]
WARNING : specutil.py : 11 [635, 640]
WARNING : specutil.py : 12 [677, 685]
WARNING : specutil.py : 0 [295, 334]
WARNING : specutil.py : 1 [448, 452]
WARNING : specutil.py : 2 [505, 511]
WARNING : specutil.py : 3 [585, 590]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [152, 155]
WARNING : specutil.py : 1 [281, 354]
WARNING : specutil.py : 2 [506, 509]
WARNING : specutil.py : 3 [567, 571]
WARNING : specutil.py : 4 [597, 600]
WARNING : specutil.py : 0 [649, 652]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Too many peaks in CubeSpectrum for pattern finding to be useful, turning it off.[2]
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 90 - 640
REGRESSION : LINEID: CO 115.27120 90 640
INFO : LineID_AT.py : Found line: U_115.3906 @ 115.390617557GHz, channels 649 - 652
REGRESSION : LINEID: U_115.3906 115.39062 649 652
INFO : LineID_AT.py : Found line: OS18O 4(1,4)-3(0,3) @ 115.40201GHz, channels 677 - 685
REGRESSION : LINEID: OS18O 115.40201 677 685
INFO : LineID_AT.py : Line Coverage 564 / 689 = 0.818578
TIMING : LineID done [ 19.464701 19.71278286 1666.3828125 407.85546875]
TIMING : LineID END [ 56.006929 56.34611607]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 108.392966 115.91578197]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 108.393 115.916 ]
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 [ 1.10253763e+02 1.64394323e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 8.59380000e-02 8.68251324e-02 1.61694531e+03 3.58570312e+02]
TIMING : LineCube pad [ 1.35170000e-02 1.35548115e-02 1.61694531e+03 3.58570312e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 8.64340000e-02 1.94797993e-01 1.61694531e+03 3.58691406e+02]
TIMING : LineCube trans-x.U_115.3906 [ 7.05350000e-02 1.55294180e-01 1.61694531e+03 3.58691406e+02]
WARNING : LineCube_AT.py : pad=5 too large, end=690 resetting to 688
TIMING : LineCube trans-x.OS18O_115.40201 [ 9.45640000e-02 3.44420910e-01 1.61694531e+03 3.58691406e+02]
REGRESSION : LC: [85, 645, 644, 657, 672, 688]
TIMING : LineCube done [ 2.51750000e-02 2.52399445e-02 1.61694531e+03 3.58691406e+02]
TIMING : LineCube END [ 0.388563 0.83256698]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.U_115.3906/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.OS18O_115.40201/lc.im
TIMING : ADMITrun END [ 109.013201 117.04926395]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 109.013 117.049 ]
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
INFO : AT.py : Setting 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
INFO : AT.py : Setting 'numsigma' = [3.0] 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 - '@3' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : numsigma : [3.0]
INFO : moments : [0]
INFO : mom0clip : 2.0
INFO : zoom : 1
INFO : chans :
INFO : sigma : -1.0
INFO :
TIMING : Moment ADMIT [ 1.11057668e+02 1.64394323e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88210000e-02 4.89518642e-02 1.61694531e+03 3.58691406e+02]
TIMING : Moment immoments-0 [ 1.08209000e-01 1.72924995e-01 1.63201172e+03 3.73632812e+02]
TIMING : Moment mom0clip [ 6.85860000e-02 1.34312153e-01 1.63201172e+03 3.73882812e+02]
TIMING : Moment implot [ 9.77720000e-02 3.47199917e-01 1.63201172e+03 3.73882812e+02]
TIMING : Moment getdata [ 2.30140000e-02 2.30801105e-02 1.63201172e+03 3.73882812e+02]
TIMING : Moment ren+mask_0 [ 3.46704000e-01 3.51675034e-01 1.63448047e+03 3.76351562e+02]
TIMING : Moment done [ 1.50610000e-02 1.51000023e-02 1.63448047e+03 3.76351562e+02]
TIMING : Moment END [ 0.72048 1.1056149]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@3.mom_0
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 [ 1.11838958e+02 1.64394323e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.84420000e-02 4.85610962e-02 1.63448047e+03 3.76351562e+02]
TIMING : Moment immoments-all [ 1.12502000e-01 4.02621031e-01 1.63448047e+03 3.76351562e+02]
TIMING : Moment mom0clip [ 6.90810000e-02 1.19409084e-01 1.63448047e+03 3.76351562e+02]
TIMING : Moment implot [ 9.45730000e-02 3.64938974e-01 1.63448047e+03 3.76351562e+02]
TIMING : Moment getdata [ 2.04390000e-02 2.11958885e-02 1.63448047e+03 3.76351562e+02]
TIMING : Moment ren+mask_0 [ 2.68730000e-01 2.73782015e-01 1.63398047e+03 3.75851562e+02]
TIMING : Moment makemask [ 1.49617000e-01 5.64512968e-01 1.63398047e+03 3.75914062e+02]
TIMING : Moment implot [ 7.70160000e-02 3.20559025e-01 1.63398047e+03 3.75914062e+02]
TIMING : Moment getdata [ 2.02170000e-02 2.03440189e-02 1.63398047e+03 3.75914062e+02]
TIMING : Moment ren+mask_1 [ 2.80080000e-01 2.85331011e-01 1.63398047e+03 3.76433594e+02]
TIMING : Moment makemask [ 1.51437000e-01 5.08565903e-01 1.63398047e+03 3.76433594e+02]
TIMING : Moment implot [ 7.62270000e-02 3.20397139e-01 1.63398047e+03 3.76433594e+02]
TIMING : Moment getdata [ 2.00430000e-02 2.01170444e-02 1.63398047e+03 3.76433594e+02]
TIMING : Moment ren+mask_2 [ 2.64442000e-01 2.68919945e-01 1.63373047e+03 3.76183594e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 9295.53 3953.22 0.0330578 -269.271 -269.271 22.6362
TIMING : Moment mom0flux [ 5.21690000e-02 5.23190498e-02 1.63373047e+03 3.76183594e+02]
TIMING : Moment flux-spectrum [ 4.83813000e-01 4.89567995e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment done [ 1.48260000e-02 1.48689747e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment END [ 2.216096 4.10850501]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@1' (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 [ 1.14164199e+02 1.64394323e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.85410000e-02 4.86640930e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment immoments-all [ 6.86090000e-02 1.96924925e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment mom0clip [ 6.72210000e-02 1.25940084e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 9.89590000e-02 3.41333866e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 2.06950000e-02 2.08010674e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_0 [ 2.65552000e-01 2.69582987e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment makemask [ 1.50033000e-01 5.03468037e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 7.58990000e-02 3.25937033e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 1.99420000e-02 2.00109482e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_1 [ 2.58314000e-01 2.63098001e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment makemask [ 1.52850000e-01 5.66740036e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 7.72190000e-02 3.14831972e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 2.02450000e-02 2.03139782e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_2 [ 2.55877000e-01 2.60810137e-01 1.63348047e+03 3.75933594e+02]
REGRESSION : MOM0FLUX: x.U_115.3906 -139.626 6.07861 0.0330578 -296.241 -296.241 1.24897
TIMING : Moment mom0flux [ 5.08340000e-02 5.13868332e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment flux-spectrum [ 2.55375000e-01 2.59870052e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment done [ 1.49370000e-02 1.49779320e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment END [ 1.913478 3.61712003]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_115.3906/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_115.3906/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_115.3906/lc-@1.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@2' (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 [ 1.16186703e+02 1.64394324e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88170000e-02 4.89299297e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment immoments-all [ 6.96070000e-02 3.68674040e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment mom0clip [ 6.73620000e-02 1.42038107e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 9.72900000e-02 3.64435911e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 2.30390000e-02 2.31199265e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_0 [ 2.64874000e-01 2.69795179e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment makemask [ 1.49500000e-01 4.42434788e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 7.55040000e-02 3.22351217e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 1.98830000e-02 1.99508667e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_1 [ 2.51497000e-01 2.56025076e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment makemask [ 1.49894000e-01 4.23143864e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment implot [ 7.55290000e-02 3.20048094e-01 1.63348047e+03 3.75933594e+02]
TIMING : Moment getdata [ 1.99490000e-02 2.00231075e-02 1.63348047e+03 3.75933594e+02]
TIMING : Moment ren+mask_2 [ 2.47012000e-01 2.51562834e-01 1.63323047e+03 3.75683594e+02]
REGRESSION : MOM0FLUX: x.OS18O_115.40201 -417.188 0.662747 0.0330578 -294.2 -294.2 0.0691986
TIMING : Moment mom0flux [ 5.12550000e-02 5.14061451e-02 1.63323047e+03 3.75683594e+02]
TIMING : Moment flux-spectrum [ 2.61646000e-01 2.65436888e-01 1.63323047e+03 3.75683594e+02]
TIMING : Moment done [ 1.47030000e-02 1.47490501e-02 1.63323047e+03 3.75683594e+02]
TIMING : Moment END [ 1.899709 3.61655307]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.OS18O_115.40201/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.OS18O_115.40201/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.OS18O_115.40201/lc-@2.mom_2
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@1' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.18195666e+02 1.64394324e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[39, 58],14.251700
TIMING : CubeSpectrum Moment-pos [ 5.41200000e-02 5.42709827e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum open [ 1.22960000e-02 1.23331547e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imval [ 4.12270000e-02 4.14218903e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imhead [ 4.34110000e-02 4.35700417e-02 1.63323047e+03 3.75683594e+02]
REGRESSION : CSP: [0.5920255184173584]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.62542000e-01 2.67728090e-01 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum summary [ 1.25090000e-02 1.25408173e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum END [ 0.438435 0.44425297]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@2' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.18694559e+02 1.64394324e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[23, 21],0.381633
TIMING : CubeSpectrum Moment-pos [ 5.39680000e-02 5.41110039e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum open [ 1.22510000e-02 1.23019218e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imval [ 3.61100000e-02 3.62949371e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imhead [ 4.21940000e-02 4.23550606e-02 1.63323047e+03 3.75683594e+02]
REGRESSION : CSP: [0.051480114459991455]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.61370000e-01 2.65883923e-01 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum summary [ 1.27420000e-02 1.27780437e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum END [ 0.430986 0.43611097]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_115.3906/lc-@2.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@3' (V1.2.5)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 1.19186508e+02 1.64394324e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[57, 51],0.331697
TIMING : CubeSpectrum Moment-pos [ 5.47540000e-02 5.49008846e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum open [ 1.24040000e-02 1.24409199e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imval [ 3.66090000e-02 3.67891788e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum imhead [ 4.23450000e-02 4.25000191e-02 1.63323047e+03 3.75683594e+02]
REGRESSION : CSP: [0.052873451262712479]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.70212000e-01 2.74788857e-01 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum summary [ 1.24630000e-02 1.24950409e-02 1.63323047e+03 3.75683594e+02]
TIMING : CubeSpectrum END [ 0.441055 0.44622087]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.OS18O_115.40201/lc-@3.csp