INFO : AT.py : Setting {'basename': 'x', 'file': 'm31s.fits'} for Ingest_AT
INFO : AT.py : Setting 'vlsr' = -250.0 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 : []
INFO : file : m31s.fits
INFO : smooth : []
INFO : basename : x
INFO : mask : True
INFO : pb :
INFO : edge : []
INFO : restfreq : -1.0
INFO : vlsr : -250.0
INFO : usepb : True
INFO :
TIMING : Ingest ADMIT [ 1.18691300e+00 1.60913556e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.55953000e-01 1.17818117e-01 1.08223438e+03 2.14929688e+02]
TIMING : Ingest importfits [ 9.11210000e-02 1.03922844e-01 1.08290234e+03 2.16152344e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 4.42130000e-02 5.36050797e-02 1.08714844e+03 2.21203125e+02]
TIMING : Ingest summary-0 [ 9.96800000e-03 9.96804237e-03 1.08714844e+03 2.21203125e+02]
TIMING : Ingest mask [ 2.22580000e-02 2.62970924e-02 1.08714844e+03 2.22011719e+02]
TIMING : Ingest summary-1 [ 1.31990000e-02 2.20129490e-02 1.08714844e+03 2.22011719e+02]
TIMING : Ingest statistics [ 2.42669000e-01 4.82859612e-02 1.13654688e+03 2.23792969e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 12.4999992, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 12.4999992, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 81 81 689 1] 3941769 -0.047071 0.734656
INFO : Ingest_AT.py : S/N (all data): 40.069916
INFO : Ingest_AT.py : GOOD PIXELS: 3941769/4520529 (87.197074% good or 12.802926% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0470711 0.734656 0.0183344 81 81 689 12.802926
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 = -250.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz: 1 values: 0.000000 +/- 0.000000 [ 0.]
INFO : Ingest_AT.py : RA Axis 1: 10.648750 -6.250000 40.000000
INFO : Ingest_AT.py : DEC Axis 2: 41.513700 6.250000 40.000000
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.25 0.000391397 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.017928 km/s @ fc=115.385091 fw=0.269672 GHz
INFO : Ingest_AT.py : Freq Binn Axis 3: 115.25 0.000391397 0
INFO : Ingest_AT.py : Cube Binn Axis 3: type=Frequency velocity increment=-1.017928 km/s @ fc=115.385091 fw=0.269672 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -296.192208 VLSRw= -701.352424 VLSRf= 0.000000 VLSRz= 0.000000 VLSR= -250.000000
TIMING : Ingest done [ 6.57670000e-01 3.74877930e-01 1.13929688e+03 2.27343750e+02]
TIMING : Ingest END [ 1.244449 0.76418495]
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 [ 2.46877900e+00 1.60913556e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 3.29640000e-02 3.29651833e-02 1.13829688e+03 2.26589844e+02]
TIMING : CubeStats start [ 8.44500000e-03 8.44383240e-03 1.13829688e+03 2.26589844e+02]
TIMING : CubeStats imstat0 [ 6.13130000e-01 1.72953129e-01 1.58746484e+03 2.80835938e+02]
TIMING : CubeStats imstat1 [ 3.77067000e-01 8.41138363e-02 1.62541406e+03 3.18585938e+02]
INFO : CubeStats_AT.py : sigma varies from 0.003730 to 0.016796; 689/689 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.00746062 (4.50255 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 6.66879000e-01 6.66895151e-01 1.62541406e+03 3.18875000e+02]
INFO : CubeStats_AT.py : CubeMax: 0.734656 @ [ 46 32 324 0]
INFO : CubeStats_AT.py : CubeMin: -0.047071 @ [ 61 29 543 0]
INFO : CubeStats_AT.py : CubeRMS: 0.007194
INFO : CubeStats_AT.py : RMS Sanity check 2.548632
WARNING : CubeStats_AT.py : RMS sanity check = 2.548632. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.007194 2.548632
INFO : CubeStats_AT.py : mean,rms,S/N=0.001741 0.007194 102.123459
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.256708 2.597451
TIMING : CubeStats plotting [ 1.53848700e+00 1.64115882e+00 1.63129688e+03 3.27035156e+02]
TIMING : CubeStats done [ 8.53000000e-03 8.52918625e-03 1.63129688e+03 3.27035156e+02]
TIMING : CubeStats summary [ 7.52300000e-03 7.52282143e-03 1.63129688e+03 3.27035156e+02]
TIMING : CubeStats END [ 3.260405 2.62996101]
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 [ 5.76543200e+00 1.60913557e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.007194
TIMING : CubeSum start [ 3.23370000e-02 3.23379040e-02 1.63129688e+03 3.27035156e+02]
TIMING : CubeSum immoments [ 5.79300000e-02 7.11131096e-02 1.63129688e+03 3.27035156e+02]
TIMING : CubeSum statistics [ 1.38040000e-02 1.31518841e-02 1.61528906e+03 3.27828125e+02]
INFO : CubeSum_AT.py : Total flux: 189584.015429 (sum=4853.351416)
REGRESSION : CSM: [189584.01542908489, 4853.3514162135343]
TIMING : CubeSum implot [ 1.26577000e-01 5.74469090e+00 1.61528906e+03 3.28242188e+02]
TIMING : CubeSum getdata [ 1.40650000e-02 1.40650272e-02 1.61528906e+03 3.28242188e+02]
TIMING : CubeSum done [ 1.59568000e-01 1.65616035e-01 1.61528906e+03 3.28367188e+02]
TIMING : CubeSum END [ 0.412679 6.04937196]
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 [ 6.21433500e+00 1.60913557e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 1.98000000e-02 1.98020935e-02 1.61528906e+03 3.28367188e+02]
TIMING : SFind2D imstat [ 4.39150000e-02 3.16140652e-02 1.61528906e+03 3.28367188e+02]
INFO : AT.py : Setting 'sigma' = 0.715623484796 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.715623 -0.318986 12.7956 35 0.22371
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 7.90870000e-02 7.21287727e-02 1.61528906e+03 3.28550781e+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 : 00:42:31.991 +41.29.54.13 46.67 31.17 11.8 241 75.509 42.512 40.0 16.5
INFO : SFind2D_AT.py : 00:42:39.681 +41.32.10.41 32.85 52.98 11 292 93.959 40.445 70.8 15.3
INFO : SFind2D_AT.py : 00:42:43.856 +41.33.05.77 25.35 61.84 9.57 299 80.368 59.462 20.5 13.4
INFO : SFind2D_AT.py : 00:42:30.156 +41.29.21.49 49.97 25.95 7.23 268 108.288 47.339 25.1 10.1
INFO : SFind2D_AT.py : 00:42:26.029 +41.28.29.19 57.39 17.58 4.85 130 86.791 44.438 56.4 6.8
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.47474000e-01 1.50628090e-01 1.61528906e+03 3.28550781e+02]
REGRESSION : CONTFLUX: 5 1230.8
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 12.5 arcsec , Minor axis: 12.5 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 1.88457000e-01 1.94189072e-01 1.61528906e+03 3.29132812e+02]
TIMING : SFind2D END [ 0.487239 0.47686696]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 5.736719 10.27879405]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.73672 10.2788 ]
INFO : AT.py : Setting 'numsigma' = 8.0 for LineSegment_AT
INFO : AT.py : Setting 'csub' = [0, 0] for LineSegment_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 6.84849500e+00 1.60913557e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[46, 32, 324],0.734656
TIMING : CubeSpectrum CubeStats-pos [ 2.89150000e-02 2.89211273e-02 1.61528906e+03 3.29136719e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[33, 53],12.795569
TIMING : CubeSpectrum Moment-pos [ 2.54810000e-02 2.54809856e-02 1.61528906e+03 3.29136719e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m31.991s', '+41d29m54.13s'),11.775719
TIMING : CubeSpectrum SourceList-pos [ 2.16790000e-02 2.16779709e-02 1.61528906e+03 3.29136719e+02]
TIMING : CubeSpectrum open [ 7.65900000e-03 7.65895844e-03 1.61528906e+03 3.29136719e+02]
TIMING : CubeSpectrum imval [ 2.90620000e-02 2.90660858e-02 1.61528906e+03 3.29691406e+02]
TIMING : CubeSpectrum imhead [ 3.58550000e-02 3.58529091e-02 1.61528906e+03 3.29691406e+02]
TIMING : CubeSpectrum imval [ 1.53272000e-01 1.58581018e-01 1.61528906e+03 3.29691406e+02]
TIMING : CubeSpectrum imval [ 1.70987000e-01 1.76708937e-01 1.61528906e+03 3.29753906e+02]
REGRESSION : CSP: [0.71658557653427124, 0.57941699028015137, 0.73465633392333984]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.81516000e-01 1.87366009e-01 1.61528906e+03 3.29753906e+02]
TIMING : CubeSpectrum summary [ 7.61000000e-03 7.61103630e-03 1.61528906e+03 3.29753906e+02]
TIMING : CubeSpectrum END [ 0.669469 0.68635798]
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 : 8.0
INFO : minchan : 4
INFO : smooth : []
INFO : recalcnoise : False
INFO : maxgap : 3
INFO : csub : [0, 0]
INFO : iterate : True
INFO : segment : ADMIT
INFO :
TIMING : LineSegment ADMIT [ 7.55453900e+00 1.60913557e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 1.50530000e-02 1.50530338e-02 1.61528906e+03 3.29753906e+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 [ 22.243614 22.24971008 1615.2890625 330.09375 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 2.299878 2.31280899 1615.2890625 330.09375 ]
INFO : LineSegment_AT.py : Segment Coverage 71 / 689 = 0.103048
REGRESSION : LINESEG: [[115.35949864094188, 115.38963073219541], [115.37123654532483, 115.38493378648806], [115.43544600067602, 115.43740472875592], [115.45307694671399, 115.45425253460996], [115.36497603241223, 115.38141132813627], [115.37123654532483, 115.38454239160589], [115.43505426303653, 115.43779648234857], [115.45190138275808, 115.45582002237934]]
TIMING : LineSegment done [ 1.41984300e+00 1.45269704e+00 1.65730078e+03 3.72058594e+02]
TIMING : LineSegment END [ 25.985889 26.03776908]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 32.579869 37.21978116]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 32.5799 37.2198 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 32.642077 37.31069112]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 32.6421 37.3107 ]
INFO : AT.py : Setting {'vlsr': -250.0} for LineID_AT
INFO : AT.py : Setting 'numsigma' = 8.0 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 : 8.0
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 : []
INFO : recalcnoise : False
INFO : vlsr : -250.0
INFO : maxgap : 3
INFO : reject : []
INFO : method : {'PeakFinder': {'thresh': 0.0}}
INFO : mode : ONE
INFO :
TIMING : LineID ADMIT [ 3.37835840e+01 1.60913560e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -250
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 13.07157 13.07194114 1657.30078125 372.125 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 9.693652 9.69388604 1657.30078125 372.125 ]
TIMING : LineID segment finder [ 9.57700000e-03 9.57584381e-03 1.65730078e+03 3.72125000e+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 : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 279 - 525
REGRESSION : LINEID: CO 115.27120 279 525
INFO : LineID_AT.py : Line Coverage 247 / 689 = 0.358491
TIMING : LineID done [ 11.307803 11.33869696 1742.69140625 457.6640625 ]
TIMING : LineID END [ 34.092143 34.12363815]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 66.982267 71.71381116]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 66.9823 71.7138 ]
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 [ 6.80677860e+01 1.60913563e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.13560000e-01 3.56998444e-02 1.76670312e+03 4.57687500e+02]
TIMING : LineCube pad [ 1.10154000e-01 1.27701759e-02 1.76670312e+03 4.57687500e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 5.48890000e-02 7.22060204e-02 1.76670312e+03 4.57804688e+02]
REGRESSION : LC: [274, 530]
TIMING : LineCube done [ 1.67460000e-02 1.67438984e-02 1.76670312e+03 4.57804688e+02]
TIMING : LineCube END [ 0.303269 0.14533997]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 67.392081 72.00334001]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 67.3921 72.0033 ]
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 [ 6.85421630e+01 1.60913563e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.24540000e-02 3.24549675e-02 1.76670312e+03 4.57804688e+02]
TIMING : Moment immoments-0 [ 6.78750000e-02 8.13388824e-02 1.76670312e+03 4.57804688e+02]
TIMING : Moment mom0clip [ 5.81690000e-02 5.46281338e-02 1.75069531e+03 4.57785156e+02]
TIMING : Moment implot [ 9.25010000e-02 3.13967943e-01 1.75069531e+03 4.57875000e+02]
TIMING : Moment getdata [ 1.30740000e-02 1.30729675e-02 1.75069531e+03 4.57875000e+02]
TIMING : Moment ren+mask_0 [ 2.15143000e-01 2.20361948e-01 1.75019531e+03 4.57375000e+02]
TIMING : Moment done [ 9.34300000e-03 9.34314728e-03 1.75019531e+03 4.57375000e+02]
TIMING : Moment END [ 0.496274 0.73288202]
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 [ 6.90762150e+01 1.60913563e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 2.99480000e-02 2.99489498e-02 1.75019531e+03 4.57375000e+02]
TIMING : Moment immoments-all [ 5.21980000e-02 8.61179829e-02 1.75019531e+03 4.57375000e+02]
TIMING : Moment mom0clip [ 5.21500000e-02 5.04860878e-02 1.75019531e+03 4.57375000e+02]
TIMING : Moment implot [ 8.78590000e-02 3.06982994e-01 1.75019531e+03 4.57375000e+02]
TIMING : Moment getdata [ 1.30290000e-02 1.30290985e-02 1.75019531e+03 4.57375000e+02]
TIMING : Moment ren+mask_0 [ 1.69142000e-01 1.74403906e-01 1.75019531e+03 4.57375000e+02]
TIMING : Moment makemask [ 1.01330000e-01 1.26591921e-01 1.75019531e+03 4.57375000e+02]
TIMING : Moment implot [ 6.30940000e-02 2.84197092e-01 1.75019531e+03 4.58351562e+02]
TIMING : Moment getdata [ 1.27570000e-02 1.27570629e-02 1.75019531e+03 4.58351562e+02]
TIMING : Moment ren+mask_1 [ 1.72113000e-01 1.76712036e-01 1.75019531e+03 4.58351562e+02]
TIMING : Moment makemask [ 9.93460000e-02 1.26466990e-01 1.75019531e+03 4.58351562e+02]
TIMING : Moment implot [ 6.31940000e-02 2.82246828e-01 1.75019531e+03 4.58351562e+02]
TIMING : Moment getdata [ 1.27820000e-02 1.27811432e-02 1.75019531e+03 4.58351562e+02]
TIMING : Moment ren+mask_2 [ 1.65190000e-01 1.70312881e-01 1.75019531e+03 4.58351562e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 7387.6 3186.38 0.0256 -280.034 -280.034 14.4111
TIMING : Moment mom0flux [ 3.14310000e-02 3.14300060e-02 1.75019531e+03 4.58351562e+02]
TIMING : Moment flux-spectrum [ 3.55490000e-01 1.95723057e-01 1.95820312e+03 4.58507812e+02]
TIMING : Moment done [ 9.26700000e-03 9.26494598e-03 1.95820312e+03 4.58507812e+02]
TIMING : Moment END [ 1.498048 2.09718013]
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 [ 7.06404980e+01 1.60913564e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[33, 53],13.448684
TIMING : CubeSpectrum Moment-pos [ 3.32610000e-02 3.32629681e-02 1.95820312e+03 4.58507812e+02]
TIMING : CubeSpectrum open [ 7.57700000e-03 7.57598877e-03 1.95820312e+03 4.58507812e+02]
TIMING : CubeSpectrum imval [ 2.53000000e-02 2.53081322e-02 1.95820312e+03 4.58507812e+02]
TIMING : CubeSpectrum imhead [ 2.91170000e-02 2.91168690e-02 1.95820312e+03 4.58507812e+02]
REGRESSION : CSP: [0.57941699028015137]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.69047000e-01 1.74251080e-01 1.95770312e+03 4.58007812e+02]
TIMING : CubeSpectrum summary [ 7.88200000e-03 7.88092613e-03 1.95770312e+03 4.58007812e+02]
TIMING : CubeSpectrum END [ 0.280369 0.28558016]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp