INFO : AT.py : Setting {'basename': 'x', 'file': 'R-Cas_94048.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_94048.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 [ 2.29052500e+00 1.64738350e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: R-Cas SHAPE: [ 65 65 515]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.74685000e-01 1.81914091e-01 1.41022266e+03 2.10765625e+02]
TIMING : Ingest importfits [ 1.13433000e-01 2.73386002e-01 1.41056641e+03 2.11980469e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.55910000e-02 9.38189030e-02 1.41121875e+03 2.12980469e+02]
TIMING : Ingest summary-0 [ 1.43290000e-02 1.43830776e-02 1.41121875e+03 2.12980469e+02]
TIMING : Ingest mask [ 2.82400000e-02 3.82039547e-02 1.41121875e+03 2.13839844e+02]
TIMING : Ingest summary-1 [ 1.33130000e-02 1.72951221e-02 1.41121875e+03 2.13839844e+02]
TIMING : Ingest statistics [ 4.34010000e-02 4.35178280e-02 1.41108984e+03 2.14375000e+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: [ 65 65 515 1] 1051630 -6.513000 53.314842
INFO : Ingest_AT.py : S/N (all data): 330.766593
INFO : Ingest_AT.py : GOOD PIXELS: 1051630/2175875 (48.331361% good or 51.668639% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -6.513 53.3148 0.161186 65 65 515 51.668639
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: 0.000000 -7.499999 32.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 7.499999 32.000000
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: 86.3371 -0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=1.357859 km/s @ fc=86.236733 fw=-0.201172 GHz
INFO : Ingest_AT.py : RESTFREQ: 86.2434 86.2434 -1
INFO : Ingest_AT.py : VLSRc= 23.321063 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.297385
INFO : Ingest_AT.py : VLSR = 23.321063 errs = 0.000000 0.000000 0.000000 width = 1.357859
TIMING : Ingest done [ 5.62096000e-01 5.80120087e-01 1.41496875e+03 2.18519531e+02]
TIMING : Ingest END [ 1.017185 1.25477219]
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 [ 3.36880200e+00 1.64738350e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.14870000e-02 5.17058372e-02 1.41371875e+03 2.17816406e+02]
TIMING : CubeStats start [ 1.26310000e-02 1.26721859e-02 1.41371875e+03 2.17816406e+02]
TIMING : CubeStats imstat0 [ 1.15841000e-01 1.16251945e-01 1.43238672e+03 2.36761719e+02]
TIMING : CubeStats imstat1 [ 1.32799000e-01 1.33245945e-01 1.43482031e+03 2.39113281e+02]
INFO : CubeStats_AT.py : sigma varies from 0.050926 to 0.095646; 515/515 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 5.95010000e-01 5.97151995e-01 1.43482031e+03 2.39187500e+02]
INFO : CubeStats_AT.py : CubeMax: 53.314842 @ [ 31 32 259 0]
INFO : CubeStats_AT.py : CubeMin: -6.513000 @ [ 52 11 211 0]
INFO : CubeStats_AT.py : CubeRMS: 0.057577
INFO : CubeStats_AT.py : RMS Sanity check 2.799485
WARNING : CubeStats_AT.py : RMS sanity check = 2.799485. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.057577 2.799485
INFO : CubeStats_AT.py : mean,rms,S/N=0.001222 0.057577 925.975975
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.531017 1.096972
TIMING : CubeStats plotting [ 2.676916 2.87478614 1453.75390625 256.2265625 ]
TIMING : CubeStats done [ 1.47020000e-02 1.47488117e-02 1.45375391e+03 2.56226562e+02]
TIMING : CubeStats summary [ 1.23800000e-02 1.24301910e-02 1.45375391e+03 2.56226562e+02]
TIMING : CubeStats END [ 3.624075 3.82534385]
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 [ 7.05347500e+00 1.64738351e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.057577
TIMING : CubeSum start [ 5.28940000e-02 5.30581474e-02 1.45375391e+03 2.56226562e+02]
TIMING : CubeSum immoments [ 6.24700000e-02 1.21723890e-01 1.45375391e+03 2.56421875e+02]
TIMING : CubeSum statistics [ 2.01890000e-02 2.02929974e-02 1.45375391e+03 2.56421875e+02]
INFO : CubeSum_AT.py : Total flux: 114250.913345 (sum=2031.127998)
REGRESSION : CSM: [114250.91334450524, 2031.1279983076674]
TIMING : CubeSum implot [ 1.48581000e-01 6.07644701e+00 1.52729297e+03 2.58000000e+02]
TIMING : CubeSum getdata [ 2.28090000e-02 2.28719711e-02 1.52729297e+03 2.58000000e+02]
TIMING : CubeSum done [ 2.82070000e-01 3.01360130e-01 1.53125000e+03 2.62109375e+02]
TIMING : CubeSum END [ 0.603438 6.61020899]
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 [ 7.71783400e+00 1.64738351e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.43960000e-02 3.45001221e-02 1.53125000e+03 2.62109375e+02]
TIMING : SFind2D imstat [ 4.13420000e-02 4.15558815e-02 1.53125000e+03 2.62230469e+02]
INFO : AT.py : Setting 'sigma' = 1.0597852683 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 1.05979 -7.67204 183.535 35 0.0285714
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.98140000e-02 1.10597134e-01 1.53125000e+03 2.62230469e+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 : 00:00:00.411 -00.00.00.88 31.18 31.88 121 252 22.547 18.352 78.4 114.3
INFO : SFind2D_AT.py : 00:00:00.415 -00.00.00.89 31.17 31.88 121 249 22.241 18.238 77.0 114.3
INFO : SFind2D_AT.py : 00:00:00.409 -00.00.00.89 31.18 31.88 121 250 22.324 18.303 79.0 114.3
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.83751000e-01 1.88345909e-01 1.53125000e+03 2.62230469e+02]
REGRESSION : CONTFLUX: 3 751.133
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 [ 3.63838000e-01 3.83279085e-01 1.53125000e+03 2.62832031e+02]
TIMING : SFind2D END [ 0.737122 0.77228904]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 6.581963 13.12994814]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 6.58196 13.1299 ]
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 [ 8.66437400e+00 1.64738351e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[31, 32, 259],53.314842
TIMING : CubeSpectrum CubeStats-pos [ 4.86870000e-02 4.87859249e-02 1.53125000e+03 2.62832031e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[31, 32],183.534500
TIMING : CubeSpectrum Moment-pos [ 4.26290000e-02 4.27350998e-02 1.53125000e+03 2.62832031e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.411s', '-00d00m00.88s'),121.138763
TIMING : CubeSpectrum SourceList-pos [ 3.62280000e-02 3.63159180e-02 1.53125000e+03 2.62832031e+02]
TIMING : CubeSpectrum open [ 1.21620000e-02 1.21920109e-02 1.53125000e+03 2.62832031e+02]
TIMING : CubeSpectrum imval [ 4.31260000e-02 4.33201790e-02 1.53125000e+03 2.63070312e+02]
TIMING : CubeSpectrum imhead [ 4.22310000e-02 4.23820019e-02 1.53125000e+03 2.63070312e+02]
TIMING : CubeSpectrum imval [ 2.25287000e-01 2.45043993e-01 1.53125000e+03 2.63082031e+02]
REGRESSION : CSP: [53.314842224121094, 53.314842224121094]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.71998000e-01 2.91926861e-01 1.53125000e+03 2.63171875e+02]
TIMING : CubeSpectrum summary [ 1.26060000e-02 1.26309395e-02 1.53125000e+03 2.63171875e+02]
TIMING : CubeSpectrum END [ 0.74721 0.78762102]
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 [ 9.47250300e+00 1.64738352e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.45990000e-02 2.46560574e-02 1.53125000e+03 2.63171875e+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 [ 10.74354 10.76610994 1531.25 263.48828125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [256, 264]
WARNING : specutil.py : 0 [256, 264]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [257, 262]
TIMING : LineSegment segment finder [ 3.01347 3.019418 1531.25 263.48828125]
INFO : LineSegment_AT.py : Segment Coverage 9 / 515 = 0.0174757
REGRESSION : LINESEG: [[86.234779937815048, 86.236733062898509], [86.233998687781664, 86.237123687915201], [86.233998687781664, 86.237123687915201]]
TIMING : LineSegment done [ 1.776873 1.89426899 1559.296875 291.55859375]
TIMING : LineSegment END [ 15.571136 15.71713805]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 23.168037 29.95929313]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 23.168 29.9593 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 23.266443 30.11790299]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 23.2664 30.1179 ]
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 [ 2.53719020e+01 1.64738353e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 23.32 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 23.3211
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 5.554103 5.56536889 1559.296875 291.55859375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 5.324745 5.33563519 1559.296875 291.55859375]
TIMING : LineID segment finder [ 1.37250000e-02 1.37658119e-02 1.55929688e+03 2.91558594e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [256, 264]
WARNING : specutil.py : 0 [256, 264]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [257, 262]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: SiO 2-1 @ 86.24337GHz, channels 256 - 264
REGRESSION : LINEID: SiO 86.24337 256 264
INFO : LineID_AT.py : Line Coverage 9 / 515 = 0.0174757
TIMING : LineID done [ 12.221196 12.371701 1653.13671875 385.3203125 ]
TIMING : LineID END [ 23.128346 23.3010819]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 46.685034 53.78683305]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 46.685 53.7868 ]
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 [ 4.87437670e+01 1.64738356e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.38410000e-02 6.40900135e-02 1.62237500e+03 3.54519531e+02]
TIMING : LineCube pad [ 1.45260000e-02 1.45611763e-02 1.62237500e+03 3.54519531e+02]
TIMING : LineCube trans-x.SiO_86.24337 [ 7.26110000e-02 1.59882784e-01 1.62237500e+03 3.54789062e+02]
REGRESSION : LC: [251, 269]
TIMING : LineCube done [ 2.53140000e-02 2.53760815e-02 1.62237500e+03 3.54789062e+02]
TIMING : LineCube END [ 0.188753 0.276402]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.SiO_86.24337/lc.im
TIMING : ADMITrun END [ 47.044899 54.30945492]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 47.0449 54.3095 ]
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 [ 4.92065950e+01 1.64738356e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.97760000e-02 4.98788357e-02 1.62237500e+03 3.54789062e+02]
TIMING : Moment immoments-0 [ 7.10180000e-02 2.16287136e-01 1.62237500e+03 3.54789062e+02]
TIMING : Moment mom0clip [ 6.96940000e-02 1.70911074e-01 1.62237500e+03 3.54890625e+02]
TIMING : Moment implot [ 9.90680000e-02 3.39141846e-01 1.62237500e+03 3.54894531e+02]
TIMING : Moment getdata [ 2.08340000e-02 2.09009647e-02 1.62237500e+03 3.54894531e+02]
TIMING : Moment ren+mask_0 [ 4.45297000e-01 4.50559139e-01 1.62464844e+03 3.57167969e+02]
TIMING : Moment done [ 1.62150000e-02 1.62758827e-02 1.62464844e+03 3.57167969e+02]
TIMING : Moment END [ 0.784462 1.27655506]
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 [ 5.00526360e+01 1.64738356e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.88620000e-02 4.89990711e-02 1.62464844e+03 3.57167969e+02]
TIMING : Moment immoments-all [ 6.88120000e-02 3.82918835e-01 1.62464844e+03 3.57167969e+02]
TIMING : Moment mom0clip [ 6.83200000e-02 1.25961065e-01 1.62464844e+03 3.57167969e+02]
TIMING : Moment implot [ 9.65850000e-02 3.36306095e-01 1.62464844e+03 3.57167969e+02]
TIMING : Moment getdata [ 2.20750000e-02 2.21598148e-02 1.62464844e+03 3.57167969e+02]
TIMING : Moment ren+mask_0 [ 3.07669000e-01 3.12620163e-01 1.62439844e+03 3.56917969e+02]
TIMING : Moment makemask [ 1.52754000e-01 3.63286972e-01 1.62439844e+03 3.57164062e+02]
TIMING : Moment implot [ 8.01250000e-02 2.96857834e-01 1.62439844e+03 3.57164062e+02]
TIMING : Moment getdata [ 2.20730000e-02 2.21450329e-02 1.62439844e+03 3.57164062e+02]
TIMING : Moment ren+mask_1 [ 3.26767000e-01 3.30873966e-01 1.62439844e+03 3.57437500e+02]
TIMING : Moment makemask [ 1.53796000e-01 5.04011154e-01 1.62439844e+03 3.57437500e+02]
TIMING : Moment implot [ 8.48600000e-02 3.00025940e-01 1.62439844e+03 3.57437500e+02]
TIMING : Moment getdata [ 2.19750000e-02 2.24931240e-02 1.62439844e+03 3.57437500e+02]
TIMING : Moment ren+mask_2 [ 3.10978000e-01 3.16241980e-01 1.62439844e+03 3.57437500e+02]
REGRESSION : MOM0FLUX: x.SiO_86.24337 2064.5 1410.34 0.0177778 25.7429 25.7429 0.029463
TIMING : Moment mom0flux [ 5.23370000e-02 5.31418324e-02 1.62439844e+03 3.57437500e+02]
TIMING : Moment flux-spectrum [ 3.08170000e-01 3.13528061e-01 1.62439844e+03 3.57437500e+02]
TIMING : Moment done [ 1.58570000e-02 1.63609982e-02 1.62439844e+03 3.57437500e+02]
TIMING : Moment END [ 2.154241 3.78018689]
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 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 [ 5.23282030e+01 1.64738356e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[31, 32],183.938919
TIMING : CubeSpectrum Moment-pos [ 5.74220000e-02 5.75571060e-02 1.62439844e+03 3.57437500e+02]
TIMING : CubeSpectrum open [ 1.23720000e-02 1.24030113e-02 1.62439844e+03 3.57437500e+02]
TIMING : CubeSpectrum imval [ 3.82530000e-02 3.84380817e-02 1.62439844e+03 3.57437500e+02]
TIMING : CubeSpectrum imhead [ 4.23960000e-02 4.25498486e-02 1.62439844e+03 3.57437500e+02]
REGRESSION : CSP: [53.314842224121094]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.11300000e-01 3.16169024e-01 1.62439844e+03 3.57437500e+02]
TIMING : CubeSpectrum summary [ 1.26870000e-02 1.27179623e-02 1.62439844e+03 3.57437500e+02]
TIMING : CubeSpectrum END [ 0.486811 0.49224901]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.SiO_86.24337/lc-@1.csp