INFO : AT.py : Setting {'basename': 'x', 'file': 'Region_J-K_85776_85824.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 : Region_J-K_85776_85824.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 [ 2.28253700e+00 1.64394354e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: Region_J-K SHAPE: [111 111 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.29330000e-01 2.36202955e-01 1.41021484e+03 2.16097656e+02]
TIMING : Ingest importfits [ 1.58712000e-01 2.77710915e-01 1.41108594e+03 2.18066406e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 8.31280000e-02 1.24269962e-01 1.41682812e+03 2.24542969e+02]
TIMING : Ingest summary-0 [ 1.47240000e-02 1.48141384e-02 1.41682812e+03 2.24542969e+02]
TIMING : Ingest mask [ 6.68080000e-02 7.65700340e-02 1.41719141e+03 2.25945312e+02]
TIMING : Ingest summary-1 [ 1.45940000e-02 1.85048580e-02 1.41719141e+03 2.25945312e+02]
TIMING : Ingest statistics [ 8.80160000e-02 8.82380009e-02 1.41871094e+03 2.27640625e+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: [111 111 689 1] 3757117 -0.599986 1.357520
INFO : Ingest_AT.py : S/N (all data): 19.481831
INFO : Ingest_AT.py : GOOD PIXELS: 3757117/8489169 (44.257771% good or 55.742229% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.599986 1.35752 0.0696814 111 111 689 55.742229
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 55.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 55.000000
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 [ 6.13250000e-01 6.18559122e-01 1.42171094e+03 2.31203125e+02]
TIMING : Ingest END [ 1.280753 1.46710396]
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 [ 3.62444900e+00 1.64394355e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.32220000e-02 5.34460545e-02 1.42071094e+03 2.30542969e+02]
TIMING : CubeStats start [ 1.25300000e-02 1.25789642e-02 1.42071094e+03 2.30542969e+02]
TIMING : CubeStats imstat0 [ 3.21926000e-01 3.22830915e-01 1.45002734e+03 2.60496094e+02]
TIMING : CubeStats imstat1 [ 3.38687000e-01 3.39570999e-01 1.45897656e+03 2.69707031e+02]
INFO : CubeStats_AT.py : sigma varies from 0.059456 to 0.079026; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 8.88763000e-01 8.91802073e-01 1.45897656e+03 2.69710938e+02]
INFO : CubeStats_AT.py : CubeMax: 1.357520 @ [ 42 67 309 0]
INFO : CubeStats_AT.py : CubeMin: -0.599986 @ [ 23 86 182 0]
INFO : CubeStats_AT.py : CubeRMS: 0.066126
INFO : CubeStats_AT.py : RMS Sanity check 1.053763
REGRESSION : CST: 0.066126 1.053763
INFO : CubeStats_AT.py : mean,rms,S/N=0.002333 0.066126 20.529236
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.999173 1.940510
TIMING : CubeStats plotting [ 2.296366 2.46877909 1468.48046875 277.60546875]
TIMING : CubeStats done [ 1.35770000e-02 1.36179924e-02 1.46848047e+03 2.77605469e+02]
TIMING : CubeStats summary [ 1.22070000e-02 1.22559071e-02 1.46848047e+03 2.77605469e+02]
TIMING : CubeStats END [ 3.949428 4.127074]
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 [ 7.63382000e+00 1.64394355e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.066126
TIMING : CubeSum start [ 5.24730000e-02 5.26399612e-02 1.46848047e+03 2.77605469e+02]
TIMING : CubeSum immoments [ 1.07955000e-01 1.36322975e-01 1.46848047e+03 2.77953125e+02]
TIMING : CubeSum statistics [ 2.02950000e-02 2.03669071e-02 1.46848047e+03 2.77953125e+02]
INFO : CubeSum_AT.py : Total flux: 92055.076236 (sum=3043.142131)
REGRESSION : CSM: [92055.076236171299, 3043.1421307940036]
TIMING : CubeSum implot [ 1.43594000e-01 6.08934808e+00 1.54048438e+03 2.77996094e+02]
TIMING : CubeSum getdata [ 2.26770000e-02 2.27670670e-02 1.54048438e+03 2.77996094e+02]
TIMING : CubeSum done [ 2.55424000e-01 2.74212837e-01 1.54048438e+03 2.78062500e+02]
TIMING : CubeSum END [ 0.616259 6.60953689]
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 [ 8.31036900e+00 1.64394356e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.40080000e-02 3.41119766e-02 1.54048438e+03 2.78062500e+02]
TIMING : SFind2D imstat [ 4.20220000e-02 4.22730446e-02 1.54048438e+03 2.78062500e+02]
INFO : AT.py : Setting 'sigma' = 2.79558998548 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.79559 -2.31272 20.8852 35 0.535422
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.04056000e-01 1.12907171e-01 1.54048438e+03 2.78636719e+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 : 00:42:38.893 +41.32.01.50 48.48 68.13 20.3 112 49.231 18.412 60.7 7.3
INFO : SFind2D_AT.py : 00:42:31.584 +41.29.50.53 63.41 44.31 14 119 47.966 24.200 43.4 5.0
INFO : SFind2D_AT.py : 00:42:38.786 +41.32.01.18 48.70 68.07 20.3 103 44.643 17.791 57.2 7.3
INFO : SFind2D_AT.py : 00:42:43.544 +41.33.06.57 38.99 79.96 11 104 44.286 31.968 14.5 3.9
INFO : SFind2D_AT.py : 00:42:29.289 +41.28.59.84 68.10 35.10 11.4 85.8 51.590 24.732 22.0 4.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.33817000e-01 2.39230871e-01 1.54048438e+03 2.78636719e+02]
REGRESSION : CONTFLUX: 5 524.177
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 [ 2.82094000e-01 3.01435947e-01 1.54048438e+03 2.78757812e+02]
TIMING : SFind2D END [ 0.709851 0.74387717]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 7.142032 13.59050298]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.14203 13.5905 ]
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 [ 9.23268600e+00 1.64394356e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[42, 67, 309],1.357520
TIMING : CubeSpectrum CubeStats-pos [ 4.79050000e-02 4.80430126e-02 1.54048438e+03 2.78757812e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[48, 69],20.885153
TIMING : CubeSpectrum Moment-pos [ 4.22540000e-02 4.23839092e-02 1.54048438e+03 2.78757812e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m38.893s', '+41d32m01.50s'),20.343487
TIMING : CubeSpectrum SourceList-pos [ 3.60170000e-02 3.61080170e-02 1.54048438e+03 2.78757812e+02]
TIMING : CubeSpectrum open [ 1.21980000e-02 1.22339725e-02 1.54048438e+03 2.78757812e+02]
TIMING : CubeSpectrum imval [ 4.39370000e-02 4.41470146e-02 1.54048438e+03 2.79335938e+02]
TIMING : CubeSpectrum imhead [ 4.16980000e-02 4.18589115e-02 1.54048438e+03 2.79335938e+02]
TIMING : CubeSpectrum imval [ 2.46289000e-01 2.65025139e-01 1.54048438e+03 2.79496094e+02]
TIMING : CubeSpectrum imval [ 2.49051000e-01 2.68219948e-01 1.54048438e+03 2.79496094e+02]
REGRESSION : CSP: [1.1234167814254761, 1.1390942335128784, 1.3575203418731689]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.80933000e-01 3.00269127e-01 1.54048438e+03 2.79496094e+02]
TIMING : CubeSpectrum summary [ 1.23450000e-02 1.23779774e-02 1.54048438e+03 2.79496094e+02]
TIMING : CubeSpectrum END [ 1.024782 1.08285785]
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 [ 1.03175990e+01 1.64394356e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43590000e-02 2.44278908e-02 1.54048438e+03 2.79496094e+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 [ 14.841267 14.87813616 1540.484375 279.94140625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [299, 324]
WARNING : specutil.py : 0 [299, 327]
WARNING : specutil.py : 0 [304, 315]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [299, 348]
TIMING : LineSegment segment finder [ 3.776983 3.7864058 1540.484375 279.94140625]
INFO : LineSegment_AT.py : Segment Coverage 29 / 689 = 0.04209
REGRESSION : LINESEG: [[115.36724356191579, 115.38638418821235], [115.36724356191579, 115.3770091875773], [115.36724356191579, 115.37818106265668], [115.36919668704807, 115.37349356233916]]
TIMING : LineSegment done [ 2.288492 2.42080402 1577.87109375 317.265625 ]
TIMING : LineSegment END [ 20.943527 21.12223601]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 29.388431 36.1275239]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.3884 36.1275 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 29.488365 36.2979641]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 29.4884 36.298 ]
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 [ 3.16043190e+01 1.64394358e+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 [ 8.321993 8.3425889 1577.87109375 317.265625 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 6.657305 6.68030596 1577.87109375 317.265625 ]
TIMING : LineID segment finder [ 1.41620000e-02 1.42209530e-02 1.57787109e+03 3.17265625e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [299, 324]
WARNING : specutil.py : 0 [299, 327]
WARNING : specutil.py : 0 [304, 315]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [299, 348]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 299 - 348
REGRESSION : LINEID: CO 115.27120 299 348
INFO : LineID_AT.py : Line Coverage 50 / 689 = 0.0725689
TIMING : LineID done [ 17.523622 17.73549008 1667.38671875 406.703125 ]
TIMING : LineID END [ 32.531126 32.78669596]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 62.352217 69.49203491]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.3522 69.492 ]
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 [ 6.44198270e+01 1.64394361e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.05620000e-01 1.06333017e-01 1.66738672e+03 4.06847656e+02]
TIMING : LineCube pad [ 1.37260000e-02 1.37708187e-02 1.66738672e+03 4.06847656e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.67440000e-02 3.45004082e-01 1.66738672e+03 4.06968750e+02]
REGRESSION : LC: [294, 353]
TIMING : LineCube done [ 2.51670000e-02 2.52311230e-02 1.66738672e+03 4.06968750e+02]
TIMING : LineCube END [ 0.233664 0.50277495]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 62.752555 70.21760702]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.7526 70.2176 ]
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 - '@1' (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 [ 6.49165170e+01 1.64394361e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.90470000e-02 4.92000580e-02 1.66738672e+03 4.06968750e+02]
TIMING : Moment immoments-0 [ 1.14175000e-01 1.79646015e-01 1.66738672e+03 4.06968750e+02]
TIMING : Moment mom0clip [ 6.97830000e-02 1.23557806e-01 1.66738672e+03 4.07117188e+02]
TIMING : Moment implot [ 9.53220000e-02 3.61864090e-01 1.66738672e+03 4.07117188e+02]
TIMING : Moment getdata [ 2.08230000e-02 2.08919048e-02 1.66738672e+03 4.07117188e+02]
TIMING : Moment ren+mask_0 [ 3.22586000e-01 3.27170134e-01 1.66638672e+03 4.06117188e+02]
TIMING : Moment done [ 1.52420000e-02 1.52819157e-02 1.66638672e+03 4.06117188e+02]
TIMING : Moment END [ 0.699425 1.09012389]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@1.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 [ 6.56771740e+01 1.64394361e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88750000e-02 4.89990711e-02 1.66638672e+03 4.06117188e+02]
TIMING : Moment immoments-all [ 7.57480000e-02 2.09687948e-01 1.66638672e+03 4.06117188e+02]
TIMING : Moment mom0clip [ 6.87530000e-02 1.54102087e-01 1.66638672e+03 4.06117188e+02]
TIMING : Moment implot [ 9.35110000e-02 3.60909939e-01 1.66638672e+03 4.06117188e+02]
TIMING : Moment getdata [ 2.06440000e-02 2.07250118e-02 1.66638672e+03 4.06117188e+02]
TIMING : Moment ren+mask_0 [ 2.58060000e-01 2.62960911e-01 1.66613672e+03 4.05867188e+02]
TIMING : Moment makemask [ 1.55153000e-01 7.50311136e-01 1.66613672e+03 4.06082031e+02]
TIMING : Moment implot [ 7.70050000e-02 3.26689959e-01 1.66613672e+03 4.06082031e+02]
TIMING : Moment getdata [ 2.02380000e-02 2.03070641e-02 1.66613672e+03 4.06082031e+02]
TIMING : Moment ren+mask_1 [ 2.47788000e-01 2.53054857e-01 1.66613672e+03 4.06730469e+02]
TIMING : Moment makemask [ 1.51170000e-01 4.26899195e-01 1.66613672e+03 4.06730469e+02]
TIMING : Moment implot [ 7.63930000e-02 3.10486794e-01 1.66613672e+03 4.06730469e+02]
TIMING : Moment getdata [ 2.01460000e-02 2.02271938e-02 1.66613672e+03 4.06730469e+02]
TIMING : Moment ren+mask_2 [ 2.55425000e-01 2.60138988e-01 1.66613672e+03 4.06730469e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 5048.23 3028.17 0.0330578 -268.485 -268.485 10.5297
TIMING : Moment mom0flux [ 5.19620000e-02 5.21228313e-02 1.66613672e+03 4.06730469e+02]
TIMING : Moment flux-spectrum [ 2.73441000e-01 2.78131008e-01 1.66613672e+03 4.06730469e+02]
TIMING : Moment done [ 1.47380000e-02 1.47840977e-02 1.66613672e+03 4.06730469e+02]
TIMING : Moment END [ 1.921371 3.78291106]
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 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 [ 6.77070960e+01 1.64394362e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[48, 69],21.719326
TIMING : CubeSpectrum Moment-pos [ 5.46570000e-02 5.48059940e-02 1.66613672e+03 4.06730469e+02]
TIMING : CubeSpectrum open [ 1.23290000e-02 1.23670101e-02 1.66613672e+03 4.06730469e+02]
TIMING : CubeSpectrum imval [ 3.66050000e-02 3.67898941e-02 1.66613672e+03 4.06730469e+02]
TIMING : CubeSpectrum imhead [ 4.24480000e-02 4.26170826e-02 1.66613672e+03 4.06730469e+02]
REGRESSION : CSP: [1.1234167814254761]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.53568000e-01 2.58420944e-01 1.66613672e+03 4.06730469e+02]
TIMING : CubeSpectrum summary [ 1.24940000e-02 1.25288963e-02 1.66613672e+03 4.06730469e+02]
TIMING : CubeSpectrum END [ 0.424441 0.42990303]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp