INFO : AT.py : Setting {'basename': 'x', 'file': 'R-Cas_94052.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 : R-Cas_94052.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 [ 2.29381100e+00 1.64728993e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: R-Cas SHAPE: [ 97 97 2062]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 3.50806000e-01 3.57424974e-01 1.41041016e+03 2.11894531e+02]
TIMING : Ingest importfits [ 2.56568000e-01 3.31405163e-01 1.41111328e+03 2.13718750e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 1.27527000e-01 1.51062965e-01 1.42086328e+03 2.24218750e+02]
TIMING : Ingest summary-0 [ 1.42140000e-02 1.43418312e-02 1.42086328e+03 2.24218750e+02]
TIMING : Ingest mask [ 1.26568000e-01 1.37189150e-01 1.42173828e+03 2.25714844e+02]
TIMING : Ingest summary-1 [ 1.46440000e-02 1.89168453e-02 1.42173828e+03 2.25714844e+02]
TIMING : Ingest statistics [ 1.92037000e-01 1.92487001e-01 1.42396094e+03 2.28300781e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 17.2500012, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 17.2500012, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 97 97 2062 1] 11487402 -1.135214 68.046791
INFO : Ingest_AT.py : S/N (all data): 420.188317
INFO : Ingest_AT.py : GOOD PIXELS: 11487402/19401358 (59.209268% good or 40.790732% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -1.13521 68.0468 0.161944 97 97 2062 40.790732
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: R-Cas
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 359.603600 -7.499999 48.000000
INFO : Ingest_AT.py : DEC Axis 2: 51.388800 7.499999 48.000000
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: 86.3372 -9.76562e-05 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=0.339465 km/s @ fc=86.236577 fw=-0.201367 GHz
INFO : Ingest_AT.py : RESTFREQ: 86.2434 86.2434 -1
INFO : Ingest_AT.py : VLSRc= 23.864173 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.976211
INFO : Ingest_AT.py : VLSR = 23.864173 errs = 0.000000 0.000000 0.000000 width = 0.339465
TIMING : Ingest done [ 7.05157000e-01 7.11146116e-01 1.42696094e+03 2.31515625e+02]
TIMING : Ingest END [ 1.799516 1.92600393]
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 [ 4.15377900e+00 1.64728993e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 6.19720000e-02 6.22251034e-02 1.42571094e+03 2.30601562e+02]
TIMING : CubeStats start [ 1.25590000e-02 1.26099586e-02 1.42571094e+03 2.30601562e+02]
TIMING : CubeStats imstat0 [ 7.98159000e-01 8.00117970e-01 1.45086328e+03 2.56207031e+02]
TIMING : CubeStats imstat1 [ 8.66749000e-01 8.68767977e-01 1.46425391e+03 2.69812500e+02]
INFO : CubeStats_AT.py : sigma varies from 0.114606 to 0.145667; 2062/2062 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 2.412759 2.42111111 1464.25390625 269.8125 ]
INFO : CubeStats_AT.py : CubeMax: 68.046791 @ [ 47 48 1035 0]
INFO : CubeStats_AT.py : CubeMin: -1.135214 @ [ 18 86 138 0]
INFO : CubeStats_AT.py : CubeRMS: 0.127923
INFO : CubeStats_AT.py : RMS Sanity check 1.265944
REGRESSION : CST: 0.127923 1.265944
INFO : CubeStats_AT.py : mean,rms,S/N=0.000678 0.127923 531.934677
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.759680 2.834592
TIMING : CubeStats plotting [ 2.306641 2.48172593 1474.0078125 277.66796875]
TIMING : CubeStats done [ 1.38100000e-02 1.38480663e-02 1.47400781e+03 2.77667969e+02]
TIMING : CubeStats summary [ 1.24020000e-02 1.24619007e-02 1.47400781e+03 2.77667969e+02]
TIMING : CubeStats END [ 6.49731 6.68516493]
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 [ 1.07108170e+01 1.64728994e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.127923
TIMING : CubeSum start [ 5.25370000e-02 5.26828766e-02 1.47400781e+03 2.77667969e+02]
TIMING : CubeSum immoments [ 2.14527000e-01 2.68045187e-01 1.47400781e+03 2.78046875e+02]
TIMING : CubeSum statistics [ 2.00100000e-02 2.01218128e-02 1.47400781e+03 2.78046875e+02]
INFO : CubeSum_AT.py : Total flux: 135162.912382 (sum=2402.896989)
REGRESSION : CSM: [135162.91238209314, 2402.8969890530752]
TIMING : CubeSum implot [ 1.47274000e-01 6.06929898e+00 1.54601172e+03 2.78074219e+02]
TIMING : CubeSum getdata [ 2.12100000e-02 2.12881565e-02 1.54601172e+03 2.78074219e+02]
TIMING : CubeSum done [ 2.32812000e-01 2.55270958e-01 1.54601172e+03 2.78187500e+02]
TIMING : CubeSum END [ 0.701869 6.70024586]
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 [ 1.14728340e+01 1.64728995e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.34800000e-02 3.35850716e-02 1.54601172e+03 2.78187500e+02]
TIMING : SFind2D imstat [ 4.09240000e-02 4.11748886e-02 1.54601172e+03 2.78187500e+02]
INFO : AT.py : Setting 'sigma' = 0.219800873397 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.219801 -1.73031 199.734 35 0.0285714
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.90340000e-02 1.08254194e-01 1.54601172e+03 2.78187500e+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 : 23:58:25.513 +51.23.18.71 47.19 47.87 146 283 22.997 18.432 86.9 664.1
INFO : SFind2D_AT.py : 23:58:25.511 +51.23.18.70 47.19 47.87 146 282 22.848 18.365 86.5 664.1
INFO : SFind2D_AT.py : 23:58:25.549 +51.23.18.71 47.14 47.87 146 270 21.809 18.049 85.7 664.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.82020000e-01 1.86734915e-01 1.54601172e+03 2.78187500e+02]
REGRESSION : CONTFLUX: 3 835.388
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 17.3 arcsec , Minor axis: 17.3 arcsec , PA: 0.0 deg
WARNING : SFind2D_AT.py : LogScaling applied
TIMING : SFind2D done [ 3.00506000e-01 3.20414066e-01 1.54601172e+03 2.78953125e+02]
TIMING : SFind2D END [ 0.6694 0.70363617]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 10.332075 16.74209404]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 10.3321 16.7421 ]
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 [ 1.24281620e+01 1.64728995e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[47, 48, 1035],68.046791
TIMING : CubeSpectrum CubeStats-pos [ 4.80920000e-02 4.82120514e-02 1.54601172e+03 2.78953125e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 48],199.734421
TIMING : CubeSpectrum Moment-pos [ 4.21800000e-02 4.23099995e-02 1.54601172e+03 2.78953125e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('23h58m25.513s', '+51d23m18.71s'),145.963531
TIMING : CubeSpectrum SourceList-pos [ 3.59070000e-02 3.60019207e-02 1.54601172e+03 2.78953125e+02]
TIMING : CubeSpectrum open [ 1.21380000e-02 1.21750832e-02 1.54601172e+03 2.78953125e+02]
TIMING : CubeSpectrum imval [ 5.39060000e-02 5.41660786e-02 1.54601172e+03 2.79386719e+02]
TIMING : CubeSpectrum imhead [ 4.13080000e-02 4.14707661e-02 1.54601172e+03 2.79386719e+02]
TIMING : CubeSpectrum imval [ 2.37807000e-01 2.56999016e-01 1.54576172e+03 2.79183594e+02]
REGRESSION : CSP: [68.046791076660156, 68.046791076660156]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.84368000e-01 3.04475069e-01 1.54576172e+03 2.79183594e+02]
TIMING : CubeSpectrum summary [ 1.23280000e-02 1.23620033e-02 1.54576172e+03 2.79183594e+02]
TIMING : CubeSpectrum END [ 0.78015 0.82032204]
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 [ 1.32682020e+01 1.64728995e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.42990000e-02 2.43721008e-02 1.54576172e+03 2.79183594e+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 [ 16.474974 16.5152998 1545.76171875 279.56640625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1023, 1057]
WARNING : specutil.py : 0 [1023, 1057]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1025, 1056]
WARNING : specutil.py : 0 [278, 279]
TIMING : LineSegment segment finder [ 3.098927 3.10740519 1545.76171875 279.56640625]
INFO : LineSegment_AT.py : Segment Coverage 35 / 2062 = 0.0169738
REGRESSION : LINESEG: [[86.234086588342478, 86.237113931775951], [86.309965486658825, 86.310063142898628], [86.23398893210269, 86.237309244255542], [86.23398893210269, 86.237309244255542]]
TIMING : LineSegment done [ 2.20365 2.31569386 1561.74609375 295.40625 ]
TIMING : LineSegment END [ 21.814254 21.9752059]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 33.250381 39.91922712]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 33.2504 39.9192 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 33.35203 40.08479095]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 33.352 40.0848 ]
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 [ 3.54708560e+01 1.64728997e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 23.86 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 23.8642
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 5.722472 5.73703694 1561.74609375 295.43359375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.900076 10.93450284 1561.74609375 295.43359375]
TIMING : LineID segment finder [ 1.45880000e-02 1.46470070e-02 1.56174609e+03 2.95433594e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1023, 1057]
WARNING : specutil.py : 0 [1023, 1057]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1025, 1056]
WARNING : specutil.py : 0 [278, 279]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: SiO 2-1 @ 86.24337GHz, channels 1023 - 1057
REGRESSION : LINEID: SiO 86.24337 1023 1057
INFO : LineID_AT.py : Found line: U_86.3168 @ 86.3168365066GHz, channels 278 - 279
REGRESSION : LINEID: U_86.3168 86.31684 278 279
INFO : LineID_AT.py : Line Coverage 37 / 2062 = 0.0179437
TIMING : LineID done [ 14.771008 14.99448609 1670.1640625 404.80078125]
TIMING : LineID END [ 31.422148 31.69470978]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 65.288032 72.37793612]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 65.288 72.3779 ]
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 [ 6.73616420e+01 1.64729000e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 2.07999000e-01 2.08599091e-01 1.62693750e+03 3.61667969e+02]
TIMING : LineCube pad [ 1.40720000e-02 1.41220093e-02 1.62693750e+03 3.61667969e+02]
TIMING : LineCube trans-x.SiO_86.24337 [ 8.45520000e-02 2.01071978e-01 1.62693750e+03 3.61785156e+02]
TIMING : LineCube trans-x.U_86.3168 [ 7.23140000e-02 1.25529051e-01 1.62693750e+03 3.61785156e+02]
REGRESSION : LC: [1018, 1062, 273, 284]
TIMING : LineCube done [ 2.48770000e-02 2.49409676e-02 1.62693750e+03 3.61785156e+02]
TIMING : LineCube END [ 0.416142 0.58663011]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.SiO_86.24337/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.U_86.3168/lc.im
TIMING : ADMITrun END [ 65.906153 73.22687697]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 65.9062 73.2269 ]
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 - '@2' (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 [ 6.81273810e+01 1.64729000e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.92010000e-02 4.93259430e-02 1.62693750e+03 3.61785156e+02]
TIMING : Moment immoments-0 [ 2.23221000e-01 2.66345024e-01 1.63884766e+03 3.73785156e+02]
TIMING : Moment mom0clip [ 6.84350000e-02 1.14454985e-01 1.63884766e+03 3.73886719e+02]
TIMING : Moment implot [ 9.58890000e-02 3.50378036e-01 1.63884766e+03 3.73886719e+02]
TIMING : Moment getdata [ 2.08340000e-02 2.09059715e-02 1.63884766e+03 3.73886719e+02]
TIMING : Moment ren+mask_0 [ 3.32866000e-01 3.38657856e-01 1.63996484e+03 3.74910156e+02]
TIMING : Moment done [ 1.50220000e-02 1.50661469e-02 1.63996484e+03 3.74910156e+02]
TIMING : Moment END [ 0.817766 1.16749382]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@2.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 [ 6.90062390e+01 1.64729000e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.81800000e-02 4.83169556e-02 1.63996484e+03 3.74910156e+02]
TIMING : Moment immoments-all [ 7.15300000e-02 1.88380003e-01 1.63996484e+03 3.74910156e+02]
TIMING : Moment mom0clip [ 6.70790000e-02 9.87770557e-02 1.63996484e+03 3.74910156e+02]
TIMING : Moment implot [ 9.20980000e-02 3.43288898e-01 1.63996484e+03 3.74910156e+02]
TIMING : Moment getdata [ 2.04440000e-02 2.05230713e-02 1.63996484e+03 3.74910156e+02]
TIMING : Moment ren+mask_0 [ 2.57596000e-01 2.63177156e-01 1.63996484e+03 3.74910156e+02]
TIMING : Moment makemask [ 1.48327000e-01 3.51189852e-01 1.63996484e+03 3.75355469e+02]
TIMING : Moment implot [ 7.88440000e-02 3.12722921e-01 1.63996484e+03 3.75761719e+02]
TIMING : Moment getdata [ 2.01040000e-02 2.01790333e-02 1.63996484e+03 3.75761719e+02]
TIMING : Moment ren+mask_1 [ 2.58110000e-01 2.65694141e-01 1.63996484e+03 3.75761719e+02]
TIMING : Moment makemask [ 1.48447000e-01 3.73209000e-01 1.63996484e+03 3.75761719e+02]
TIMING : Moment implot [ 7.69350000e-02 3.01884890e-01 1.63996484e+03 3.75761719e+02]
TIMING : Moment getdata [ 2.01360000e-02 2.02100277e-02 1.63996484e+03 3.75761719e+02]
TIMING : Moment ren+mask_2 [ 2.60062000e-01 2.65140057e-01 1.63971484e+03 3.75511719e+02]
REGRESSION : MOM0FLUX: x.SiO_86.24337 2754.24 1997.14 0.0177778 25.2249 25.2249 0.0420509
TIMING : Moment mom0flux [ 5.13100000e-02 5.14769554e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment flux-spectrum [ 2.73127000e-01 2.78117895e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment done [ 1.49190000e-02 1.49610043e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment END [ 1.919584 3.22963595]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.SiO_86.24337/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.SiO_86.24337/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.SiO_86.24337/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 [ 7.10351450e+01 1.64729001e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.81770000e-02 4.82859612e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment immoments-all [ 6.85820000e-02 2.10186005e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment mom0clip [ 6.73200000e-02 9.15620327e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment implot [ 9.10770000e-02 3.33803892e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment getdata [ 2.02310000e-02 2.03061104e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment ren+mask_0 [ 2.60966000e-01 2.65969992e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment makemask [ 1.48219000e-01 3.46889019e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment implot [ 7.66170000e-02 2.95742035e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment getdata [ 2.01250000e-02 2.01890469e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment ren+mask_1 [ 2.52367000e-01 2.57299900e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment makemask [ 1.48112000e-01 3.53309870e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment implot [ 7.69150000e-02 2.96504021e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment getdata [ 1.99500000e-02 2.00161934e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment ren+mask_2 [ 2.57663000e-01 2.62599945e-01 1.63971484e+03 3.75511719e+02]
REGRESSION : MOM0FLUX: x.U_86.3168 20.3201 10.0121 0.0177778 23.5037 23.5037 0.731677
TIMING : Moment mom0flux [ 5.14470000e-02 5.16078472e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment flux-spectrum [ 2.59770000e-01 2.64991045e-01 1.63971484e+03 3.75511719e+02]
TIMING : Moment done [ 1.47820000e-02 1.48320198e-02 1.63971484e+03 3.75511719e+02]
TIMING : Moment END [ 1.894639 3.16647601]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_86.3168/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_86.3168/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_86.3168/lc-@1.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 [ 7.30378460e+01 1.64729001e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[47, 48],200.128494
TIMING : CubeSpectrum Moment-pos [ 5.43800000e-02 5.45411110e-02 1.63971484e+03 3.75511719e+02]
TIMING : CubeSpectrum open [ 1.23730000e-02 1.24149323e-02 1.63971484e+03 3.75511719e+02]
TIMING : CubeSpectrum imval [ 3.61610000e-02 3.63478661e-02 1.63971484e+03 3.75511719e+02]
TIMING : CubeSpectrum imhead [ 4.21450000e-02 4.23080921e-02 1.63971484e+03 3.75511719e+02]
REGRESSION : CSP: [68.046791076660156]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.59525000e-01 2.64437914e-01 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum summary [ 1.25680000e-02 1.26039982e-02 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum END [ 0.429475 0.4350121]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.SiO_86.24337/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 [ 7.35278530e+01 1.64729001e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[14, 34],0.380805
TIMING : CubeSpectrum Moment-pos [ 5.43710000e-02 5.45320511e-02 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum open [ 1.22900000e-02 1.23260021e-02 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum imval [ 3.58200000e-02 3.60050201e-02 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum imhead [ 4.20460000e-02 4.22089100e-02 1.63971484e+03 3.75562500e+02]
REGRESSION : CSP: [0.44393777847290039]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.61013000e-01 2.66053200e-01 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum summary [ 1.24560000e-02 1.24919415e-02 1.63971484e+03 3.75562500e+02]
TIMING : CubeSpectrum END [ 0.43025 0.43590498]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_86.3168/lc-@2.csp