INFO : AT.py : Setting {'basename': 'x', 'file': 'M31_85776.fits'} for Ingest_AT
INFO : AT.py : Setting 'vlsr' = -296.0 for Ingest_AT
INFO : AT.py : Setting 'box' = [20, 20, 70, 70] 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 - '' (V1.2.6)
INFO :
INFO :
INFO : Run using the following settings:
INFO : box : [20, 20, 70, 70]
INFO : file : M31_85776.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -296.0
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 1.22835800e+00 1.60824700e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.24335000e-01 1.32272959e-01 1.09024609e+03 2.15234375e+02]
TIMING : Ingest importfits [ 1.04653000e-01 1.13136053e-01 1.09076953e+03 2.16515625e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.60620000e-02 6.87139034e-02 1.09841797e+03 2.24980469e+02]
TIMING : Ingest summary-0 [ 1.07020000e-02 1.07021332e-02 1.09841797e+03 2.24980469e+02]
WARNING : Ingest_AT.py : no extra mask created because input image already had one
INFO : Ingest_AT.py : box=[20, 20, 70, 70] edge=[] processing with SHAPE: [ 91 91 689 1]
INFO : Ingest_AT.py : SUBIMAGE
TIMING : Ingest subimage-1 [ 9.22060000e-02 1.02282047e-01 1.09841797e+03 2.24980469e+02]
TIMING : Ingest summary-1 [ 1.10630000e-02 1.10628605e-02 1.09841797e+03 2.24980469e+02]
TIMING : Ingest statistics [ 2.48050000e-02 1.90870762e-02 1.14548047e+03 2.32925781e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 11.000001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 11.000001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 51 51 689 1] 1792089 -0.733099 1.635237
INFO : Ingest_AT.py : S/N (all data): 12.720964
INFO : Ingest_AT.py : GOOD PIXELS: 1792089/1792089 (100.000000% good or 0.000000% bad)
REGRESSION : CUBE: -0.733099 1.63524 0.128547 51 51 689 0.000000
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: Region_J-K
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/vlsr.tab, found 229 entries
INFO : VLSR.py : VLSR: /home/teuben/ADMIT/admit/etc/z.tab, found 11979 entries
INFO : Ingest_AT.py : VLSR = -296.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz: 1 values: 0.000000 +/- 0.000000 [ 0.]
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -5.500001 25.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 5.500001 25.000000
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.24 0.000391328 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.017749 km/s @ fc=115.374915 fw=0.269625 GHz
INFO : Ingest_AT.py : Freq Binn Axis 3: 115.24 0.000391328 0
INFO : Ingest_AT.py : Cube Binn Axis 3: type=Frequency velocity increment=-1.017749 km/s @ fc=115.374915 fw=0.269625 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -269.728346 VLSRw= -701.228730 VLSRf= 0.000000 VLSRz= 0.000000 VLSR= -296.000000
TIMING : Ingest done [ 5.82519000e-01 3.91129017e-01 1.14848047e+03 2.36386719e+02]
TIMING : Ingest END [ 1.114809 0.856848]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP x.im
INFO :
INFO :
INFO : Executing CubeStats_AT - '' (V1.2.2)
INFO :
INFO :
INFO : Run using the following settings:
INFO : ppp : True
INFO : psample : -1
INFO : robust : []
INFO : maxvrms : 2.0
INFO :
TIMING : CubeStats ADMIT [ 2.38640700e+00 1.60824700e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 3.74200000e-02 3.74259949e-02 1.14723047e+03 2.35378906e+02]
TIMING : CubeStats start [ 1.01570000e-02 1.01709366e-02 1.14723047e+03 2.35378906e+02]
TIMING : CubeStats imstat0 [ 3.11441000e-01 8.83541107e-02 1.62005859e+03 2.86042969e+02]
TIMING : CubeStats imstat1 [ 2.24287000e-01 5.72969913e-02 1.62005859e+03 2.86042969e+02]
INFO : CubeStats_AT.py : sigma varies from 0.104964 to 0.145755; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 6.55454000e-01 6.55466080e-01 1.62005859e+03 2.86042969e+02]
INFO : CubeStats_AT.py : CubeMax: 1.635237 @ [ 10 38 335 0]
INFO : CubeStats_AT.py : CubeMin: -0.733099 @ [ 0 4 333 0]
INFO : CubeStats_AT.py : CubeRMS: 0.123261
INFO : CubeStats_AT.py : RMS Sanity check 1.042878
REGRESSION : CST: 0.123261 1.042878
INFO : CubeStats_AT.py : mean,rms,S/N=0.002761 0.123261 13.266416
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.690399 1.460460
TIMING : CubeStats plotting [ 1.648861 1.75235701 1625.94140625 294.41796875]
TIMING : CubeStats done [ 9.51300000e-03 9.51194763e-03 1.62594141e+03 2.94417969e+02]
TIMING : CubeStats summary [ 9.25600000e-03 9.25397873e-03 1.62594141e+03 2.94417969e+02]
TIMING : CubeStats END [ 2.914538 2.62798691]
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 [ 5.34534100e+00 1.60824700e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.123261
TIMING : CubeSum start [ 3.58450000e-02 3.58529091e-02 1.62594141e+03 2.94417969e+02]
TIMING : CubeSum immoments [ 3.97750000e-02 5.46181202e-02 1.62594141e+03 2.94417969e+02]
TIMING : CubeSum statistics [ 1.44520000e-02 1.44538879e-02 1.62594141e+03 2.94417969e+02]
INFO : CubeSum_AT.py : Total flux: 55000.891222 (sum=1818.210751)
REGRESSION : CSM: [55000.891222393824, 1818.2107511450595]
TIMING : CubeSum implot [ 1.01454000e-01 5.64945793e+00 1.69794531e+03 2.94714844e+02]
TIMING : CubeSum getdata [ 1.39810000e-02 1.39791965e-02 1.69794531e+03 2.94714844e+02]
TIMING : CubeSum done [ 1.74380000e-01 1.82832956e-01 1.69794531e+03 2.94835938e+02]
TIMING : CubeSum END [ 0.389331 5.96063805]
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 [ 5.77662900e+00 1.60824701e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 2.32110000e-02 2.32119560e-02 1.69794531e+03 2.94835938e+02]
TIMING : SFind2D imstat [ 3.10160000e-02 3.10161114e-02 1.69794531e+03 2.94835938e+02]
INFO : AT.py : Setting 'sigma' = 2.73049864132 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.7305 -3.06773 21.0079 35 0.519899
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 7.02420000e-02 7.59379864e-02 1.69794531e+03 2.95257812e+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 : 00:42:39.365 +41.32.07.06 17.52 39.14 19.7 113 47.174 14.145 59.2 7.2
INFO : SFind2D_AT.py : 00:42:32.102 +41.29.56.95 32.35 15.48 13.3 121 43.153 20.348 43.5 4.9
INFO : SFind2D_AT.py : 00:42:29.795 +41.29.03.06 37.06 5.68 11.4 91.5 41.223 19.575 24.1 4.2
INFO : SFind2D_AT.py : 00:42:32.083 +41.29.56.90 32.39 15.47 13.3 132 47.633 21.042 40.2 4.9
INFO : SFind2D_AT.py : 00:42:42.094 +41.32.11.00 11.95 39.85 9.58 86.3 48.424 24.006 123.3 3.5
INFO : SFind2D_AT.py : 00:42:39.335 +41.32.07.27 17.58 39.17 19.7 96.2 38.763 13.368 53.6 7.2
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.77846000e-01 1.79337025e-01 1.69794531e+03 2.95257812e+02]
REGRESSION : CONTFLUX: 6 639.144
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 11 arcsec , Minor axis: 11 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 1.94907000e-01 1.99415922e-01 1.69794531e+03 2.95511719e+02]
TIMING : SFind2D END [ 0.506172 0.51786709]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 5.304565 10.36870599]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.30457 10.3687 ]
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 6.43530500e+00 1.60824701e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[10, 38, 335],1.635237
TIMING : CubeSpectrum CubeStats-pos [ 3.14460000e-02 3.14459801e-02 1.69794531e+03 2.95511719e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 40],21.007906
TIMING : CubeSpectrum Moment-pos [ 2.77230000e-02 2.77221203e-02 1.69794531e+03 2.95511719e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m39.365s', '+41d32m07.06s'),19.681778
TIMING : CubeSpectrum SourceList-pos [ 2.36860000e-02 2.36868858e-02 1.69794531e+03 2.95511719e+02]
TIMING : CubeSpectrum open [ 7.98700000e-03 7.98606873e-03 1.69794531e+03 2.95511719e+02]
TIMING : CubeSpectrum imval [ 3.15890000e-02 3.15909386e-02 1.69794531e+03 2.95882812e+02]
TIMING : CubeSpectrum imhead [ 2.79920000e-02 2.79920101e-02 1.69794531e+03 2.95882812e+02]
TIMING : CubeSpectrum imval [ 1.76209000e-01 1.80208921e-01 1.69794531e+03 2.95945312e+02]
TIMING : CubeSpectrum imval [ 1.80180000e-01 1.84141159e-01 1.69794531e+03 2.95945312e+02]
REGRESSION : CSP: [1.4555395841598511, 1.6352365016937256, 1.1259970664978027]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.86405000e-01 1.90201044e-01 1.69794531e+03 2.95945312e+02]
TIMING : CubeSpectrum summary [ 1.03210000e-02 1.03199482e-02 1.69794531e+03 2.95945312e+02]
TIMING : CubeSpectrum END [ 0.711531 0.72328806]
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 7.18836100e+00 1.60824701e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 1.72160000e-02 1.72171593e-02 1.69794531e+03 2.95945312e+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 [ 20.9781 21.0562768 1697.9453125 295.9453125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.843337 2.86943412 1697.9453125 295.9453125 ]
INFO : LineSegment_AT.py : Segment Coverage 46 / 689 = 0.0667634
REGRESSION : LINESEG: [[115.33642106416936, 115.33759427758282], [115.36262851754573, 115.3861079893781], [115.4119464497068, 115.41429597447737], [115.2770094754805, 115.27818148051809], [115.35323940413318, 115.3548041502339], [115.46405003382621, 115.46522584519839], [115.31139819596537, 115.31217999624573], [115.36614982913929, 115.37945450206942], [115.43701298013586, 115.4389717613941], [115.27935350938715, 115.28091625161831], [115.36654109925269, 115.3743670589037], [115.36654109925269, 115.37945450206942]]
TIMING : LineSegment done [ 1.848273 1.898072 1720.18359375 318.53125 ]
TIMING : LineSegment END [ 25.697614 25.85168719]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 31.953012 37.21639299]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.953 37.2164 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 32.033073 37.32820797]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 32.0331 37.3282 ]
INFO : AT.py : Setting {'vlsr': -296.0} for LineID_AT
INFO : AT.py : Setting 'smooth' = ['hanning', 5] for LineID_AT
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 : smooth : ['hanning', 5]
INFO : recalcnoise : False
INFO : vlsr : -296.0
INFO : maxgap : 3
INFO : reject : []
INFO : method : {'PeakFinder': {'thresh': 0.0}}
INFO : mode : ONE
INFO :
TIMING : LineID ADMIT [ 3.32452370e+01 1.60824703e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -296
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 11.734634 11.73777008 1720.18359375 318.60546875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 11.992508 12.01596189 1720.18359375 318.60546875]
TIMING : LineID segment finder [ 1.01350000e-02 1.01411343e-02 1.72018359e+03 3.18605469e+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
INFO : utils.py : Gaussian fit attempted with only three points, look at the covariance for goodness of fit.
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 94 - 575
REGRESSION : LINEID: CO 115.27120 94 575
INFO : LineID_AT.py : Line Coverage 482 / 689 = 0.699565
TIMING : LineID done [ 11.956764 11.97816491 1829.69921875 427.9453125 ]
TIMING : LineID END [ 35.703816 35.75181198]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 68.042022 73.41838002]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 68.042 73.4184 ]
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 [ 6.91461730e+01 1.60824707e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 5.46200000e-02 3.22670937e-02 1.79393359e+03 3.92363281e+02]
TIMING : LineCube pad [ 8.90360000e-02 1.28259659e-02 1.79393359e+03 3.92363281e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 5.32000000e-02 6.73289299e-02 1.79393359e+03 3.92363281e+02]
REGRESSION : LC: [89, 580]
TIMING : LineCube done [ 1.86160000e-02 1.86150074e-02 1.79393359e+03 3.92363281e+02]
TIMING : LineCube END [ 0.224078 0.139642]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 68.379665 73.70966196]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 68.3797 73.7097 ]
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 [ 6.95507650e+01 1.60824707e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.34680000e-02 3.34692001e-02 1.79393359e+03 3.92363281e+02]
TIMING : Moment immoments-0 [ 4.37810000e-02 5.75168133e-02 1.79393359e+03 3.92363281e+02]
TIMING : Moment mom0clip [ 5.03090000e-02 6.15050793e-02 1.79393359e+03 3.92664062e+02]
TIMING : Moment implot [ 7.28410000e-02 2.47173071e-01 1.79393359e+03 3.92957031e+02]
TIMING : Moment getdata [ 1.30300000e-02 1.30288601e-02 1.79393359e+03 3.92957031e+02]
TIMING : Moment ren+mask_0 [ 2.37937000e-01 2.44040966e-01 1.80294141e+03 4.02082031e+02]
TIMING : Moment done [ 1.41960000e-02 1.41940117e-02 1.80294141e+03 4.02082031e+02]
TIMING : Moment END [ 0.474464 0.67983508]
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 [ 7.00769330e+01 1.60824707e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.81970000e-02 3.81968021e-02 1.80294141e+03 4.02082031e+02]
TIMING : Moment immoments-all [ 4.95590000e-02 7.87739754e-02 1.80294141e+03 4.02082031e+02]
TIMING : Moment mom0clip [ 4.95280000e-02 5.97331524e-02 1.80294141e+03 4.02082031e+02]
TIMING : Moment implot [ 7.40310000e-02 2.54520893e-01 1.80294141e+03 4.02082031e+02]
TIMING : Moment getdata [ 1.77830000e-02 1.77860260e-02 1.80294141e+03 4.02082031e+02]
TIMING : Moment ren+mask_0 [ 1.99802000e-01 2.02693939e-01 1.80244141e+03 4.01582031e+02]
TIMING : Moment makemask [ 9.49260000e-02 1.41906023e-01 1.80244141e+03 4.01582031e+02]
TIMING : Moment implot [ 5.59020000e-02 2.25579977e-01 1.80244141e+03 4.01582031e+02]
TIMING : Moment getdata [ 1.71510000e-02 1.71520710e-02 1.80244141e+03 4.01582031e+02]
TIMING : Moment ren+mask_1 [ 1.91343000e-01 1.95327044e-01 1.80244141e+03 4.02437500e+02]
TIMING : Moment makemask [ 1.25266000e-01 1.73197985e-01 1.80244141e+03 4.02437500e+02]
TIMING : Moment implot [ 6.82950000e-02 2.74193048e-01 1.80244141e+03 4.02437500e+02]
TIMING : Moment getdata [ 1.99730000e-02 1.99730396e-02 1.80244141e+03 4.02437500e+02]
TIMING : Moment ren+mask_2 [ 2.15217000e-01 2.18070984e-01 1.80244141e+03 4.02437500e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 4307.07 2200.83 0.0330578 -277.692 -277.692 23.2648
TIMING : Moment mom0flux [ 4.20020000e-02 4.19998169e-02 1.80244141e+03 4.02437500e+02]
TIMING : Moment flux-spectrum [ 3.79969000e-01 2.36898184e-01 1.80219141e+03 4.02191406e+02]
TIMING : Moment done [ 1.06510000e-02 1.06499195e-02 1.80219141e+03 4.02191406e+02]
TIMING : Moment END [ 1.658443 2.21550584]
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' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 7.18166460e+01 1.60824707e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 40],26.752478
TIMING : CubeSpectrum Moment-pos [ 4.13550000e-02 4.13601398e-02 1.80219141e+03 4.02191406e+02]
TIMING : CubeSpectrum open [ 9.23200000e-03 9.22584534e-03 1.80219141e+03 4.02191406e+02]
TIMING : CubeSpectrum imval [ 3.18620000e-02 3.18641663e-02 1.80219141e+03 4.02191406e+02]
TIMING : CubeSpectrum imhead [ 3.39660000e-02 3.39670181e-02 1.80219141e+03 4.02191406e+02]
REGRESSION : CSP: [1.4555395841598511]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.95881000e-01 1.98790789e-01 1.80219141e+03 4.02191406e+02]
TIMING : CubeSpectrum summary [ 9.41300000e-03 9.41300392e-03 1.80219141e+03 4.02191406e+02]
TIMING : CubeSpectrum END [ 0.330973 0.33388495]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp