INFO : AT.py : Setting {'basename': 'x', 'file': 'IRC+10216_82695.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 : IRC+10216_82695.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 [ 2.20585600e+00 1.64195675e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: IRC+10216 SHAPE: [147 147 689]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.99309000e-01 3.05824041e-01 1.41051172e+03 2.17242188e+02]
TIMING : Ingest importfits [ 2.05514000e-01 2.88886070e-01 1.41098438e+03 2.18875000e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 8.16020000e-02 1.02574825e-01 1.41131641e+03 2.20164062e+02]
TIMING : Ingest summary-0 [ 1.43500000e-02 1.44400597e-02 1.41131641e+03 2.20164062e+02]
TIMING : Ingest mask [ 8.10530000e-02 9.06729698e-02 1.41131641e+03 2.20164062e+02]
TIMING : Ingest summary-1 [ 1.37310000e-02 1.78060532e-02 1.41131641e+03 2.20164062e+02]
TIMING : Ingest statistics [ 6.94750000e-02 6.96179867e-02 1.41131641e+03 2.21105469e+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: [147 147 689 1] 2834546 -10.261707 9.411695
INFO : Ingest_AT.py : S/N (all data): 40.224884
INFO : Ingest_AT.py : GOOD PIXELS: 2834546/14888601 (19.038364% good or 80.961636% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -10.2617 9.41169 0.233977 147 147 689 80.961636
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: IRC+10216
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 0.000000 -5.500001 73.000000
INFO : Ingest_AT.py : DEC Axis 2: 0.000000 5.500001 73.000000
INFO : Ingest_AT.py : VLSRv = -26.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz = -25.833333 +/- 0.623610 3 values: [-25. -26. -26.5]
INFO : Ingest_AT.py : Freq Orig Axis 3: 115.144 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.278699 fw=0.269141 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= -19.492024 VLSRf= 0.000000 VLSRv= -26.000000 VLSRz= -25.833333 WIDTH= -699.969569
INFO : Ingest_AT.py : VLSR = -26.000000 errs = 0.623610 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 5.83878000e-01 6.03902102e-01 1.41507031e+03 2.25363281e+02]
TIMING : Ingest END [ 1.361106 1.50594211]
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 [ 3.62804100e+00 1.64195676e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.29340000e-02 5.31308651e-02 1.41478125e+03 2.25410156e+02]
TIMING : CubeStats start [ 1.24370000e-02 1.24721527e-02 1.41478125e+03 2.25410156e+02]
TIMING : CubeStats imstat0 [ 2.51032000e-01 2.51536846e-01 1.44613672e+03 2.57328125e+02]
TIMING : CubeStats imstat1 [ 4.21196000e-01 4.22016144e-01 1.45739062e+03 2.68746094e+02]
INFO : CubeStats_AT.py : sigma varies from 0.195028 to 0.295388; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 1.00558200e+00 1.00900388e+00 1.45739062e+03 2.68750000e+02]
INFO : CubeStats_AT.py : CubeMax: 9.411695 @ [ 25 51 375 0]
INFO : CubeStats_AT.py : CubeMin: -10.261707 @ [ 25 51 255 0]
INFO : CubeStats_AT.py : CubeRMS: 0.221330
INFO : CubeStats_AT.py : RMS Sanity check 1.057141
REGRESSION : CST: 0.221330 1.057141
INFO : CubeStats_AT.py : mean,rms,S/N=0.007740 0.221330 42.523367
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 2.280749 1.488706
TIMING : CubeStats plotting [ 2.382502 2.55973315 1473.6484375 276.79296875]
TIMING : CubeStats done [ 1.38530000e-02 1.38998032e-02 1.47364844e+03 2.76792969e+02]
TIMING : CubeStats summary [ 1.23100000e-02 1.23469830e-02 1.47364844e+03 2.76792969e+02]
TIMING : CubeStats END [ 4.164097 4.34642196]
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 [ 7.85283300e+00 1.64195676e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.221330
TIMING : CubeSum start [ 5.26160000e-02 5.27420044e-02 1.47364844e+03 2.76792969e+02]
TIMING : CubeSum immoments [ 1.69042000e-01 3.40592146e-01 1.47364844e+03 2.77117188e+02]
TIMING : CubeSum statistics [ 2.04200000e-02 2.04749107e-02 1.47364844e+03 2.77117188e+02]
INFO : CubeSum_AT.py : Total flux: 74527.318163 (sum=2463.712280)
REGRESSION : CSM: [74527.318162688069, 2463.7122803973034]
TIMING : CubeSum implot [ 1.41598000e-01 6.08695102e+00 1.54565234e+03 2.77144531e+02]
TIMING : CubeSum getdata [ 2.18720000e-02 2.19280720e-02 1.54565234e+03 2.77144531e+02]
TIMING : CubeSum done [ 2.41625000e-01 2.60691881e-01 1.54565234e+03 2.77207031e+02]
TIMING : CubeSum END [ 0.660706 6.796942]
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 [ 8.57392600e+00 1.64195677e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.41410000e-02 3.42280865e-02 1.54565234e+03 2.77207031e+02]
TIMING : SFind2D imstat [ 4.16220000e-02 4.18329239e-02 1.54565234e+03 2.77207031e+02]
INFO : AT.py : Setting 'sigma' = 2.25438906398 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.25439 -34.4338 51.0142 35 0.176766
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 7.88515000e-01 7.98563957e-01 1.54565234e+03 2.77761719e+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 : 00:00:00.608 -00.00.47.42 71.34 64.38 19.6 94.8 27.500 27.500 90.0 8.7
INFO : SFind2D_AT.py : 23:59:58.639 -00.00.48.72 76.71 64.14 11.2 63.4 27.500 27.500 90.0 5.0
INFO : SFind2D_AT.py : 23:59:59.407 -00.01.21.80 74.62 58.13 9.23 40 27.500 27.500 90.0 4.1
INFO : SFind2D_AT.py : 23:59:57.903 -00.00.35.78 78.72 66.49 6.97 38.9 27.500 27.500 90.0 3.1
INFO : SFind2D_AT.py : 23:59:59.456 +00.00.08.52 74.48 74.55 0 908 126.103 56.680 167.9 0.0
INFO : SFind2D_AT.py : 00:00:00.701 -00.01.05.50 71.09 61.09 5.26 404 150.048 78.990 85.7 2.3
INFO : SFind2D_AT.py : 23:59:59.719 -00.00.59.00 73.77 62.27 2.29 273 103.440 75.268 45.3 1.0
INFO : SFind2D_AT.py : 00:00:00.473 -00.01.21.48 71.71 58.18 4.09 27.9 27.500 27.500 90.0 1.8
INFO : SFind2D_AT.py : 23:59:58.588 -00.00.49.81 76.85 63.94 12.8 360 122.373 69.768 122.2 5.7
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 3.36274000e-01 3.40801001e-01 1.54565234e+03 2.77808594e+02]
REGRESSION : CONTFLUX: 9 2209.86
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 [ 2.85764000e-01 3.04705143e-01 1.54565234e+03 2.77812500e+02]
TIMING : SFind2D END [ 1.49994 1.53378916]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.28393 14.84003901]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.28393 14.84 ]
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 [ 1.02904030e+01 1.64195677e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[25, 51, 375],9.411695
TIMING : CubeSpectrum CubeStats-pos [ 4.89100000e-02 4.90429401e-02 1.54565234e+03 2.77812500e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[72, 70],51.014172
TIMING : CubeSpectrum Moment-pos [ 4.29570000e-02 4.30622101e-02 1.54565234e+03 2.77812500e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h00m00.608s', '-00d00m47.42s'),19.565365
TIMING : CubeSpectrum SourceList-pos [ 3.59580000e-02 3.60248089e-02 1.54565234e+03 2.77812500e+02]
TIMING : CubeSpectrum open [ 1.22160000e-02 1.22461319e-02 1.54565234e+03 2.77812500e+02]
TIMING : CubeSpectrum imval [ 4.40970000e-02 4.42860126e-02 1.54565234e+03 2.78164062e+02]
TIMING : CubeSpectrum imhead [ 4.17680000e-02 4.18970585e-02 1.54565234e+03 2.78164062e+02]
TIMING : CubeSpectrum imval [ 2.57067000e-01 2.76865005e-01 1.54565234e+03 2.78226562e+02]
TIMING : CubeSpectrum imval [ 2.79977000e-01 2.99289942e-01 1.54565234e+03 2.78226562e+02]
REGRESSION : CSP: [2.3468120098114014, 9.4116945266723633, 1.6397019624710083]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.75201000e-01 2.94666052e-01 1.54565234e+03 2.78226562e+02]
TIMING : CubeSpectrum summary [ 1.24340000e-02 1.24609470e-02 1.54565234e+03 2.78226562e+02]
TIMING : CubeSpectrum END [ 1.062763 1.12204599]
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 [ 1.14139930e+01 1.64195677e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.46510000e-02 2.47061253e-02 1.54565234e+03 2.78226562e+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 [ 12.974076 13.0045259 1545.65234375 278.60546875]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [338, 363]
WARNING : specutil.py : 0 [344, 357]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 3.540809 3.54809499 1545.65234375 278.60546875]
INFO : LineSegment_AT.py : Segment Coverage 26 / 689 = 0.0377358
REGRESSION : LINESEG: [[115.27635499834112, 115.28612062400263], [115.27869874849989, 115.28377687384388]]
TIMING : LineSegment done [ 2.5575 88.92757201 1566.5703125 299.484375 ]
TIMING : LineSegment END [ 19.109602 105.51750708]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 28.742054 121.822299]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.7421 121.822 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 28.844045 122.01694703]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 28.844 122.017 ]
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 [ 3.08775330e+01 1.64195688e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = -26.00 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = -26
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 8.074993 8.09084487 1566.5703125 299.484375 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 4.990674 5.00020814 1566.5703125 299.484375 ]
TIMING : LineID segment finder [ 1.43430000e-02 1.43768787e-02 1.56657031e+03 2.99484375e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [338, 363]
WARNING : specutil.py : 0 [344, 357]
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 338 - 363
REGRESSION : LINEID: CO 115.27120 338 363
INFO : LineID_AT.py : Line Coverage 26 / 689 = 0.0377358
TIMING : LineID done [ 17.643802 25.19461918 1674.2890625 407.23046875]
TIMING : LineID END [ 30.738044 38.31434107]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 59.917747 160.74571896]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 59.9177 160.746 ]
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 [ 6.19017220e+01 1.64195692e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 8.70560000e-02 8.82420540e-02 1.62485156e+03 3.58089844e+02]
TIMING : LineCube pad [ 1.30300000e-02 1.30650997e-02 1.62485156e+03 3.58089844e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 7.48060000e-02 1.86652899e-01 1.62485156e+03 3.58328125e+02]
REGRESSION : LC: [333, 368]
TIMING : LineCube done [ 2.51560000e-02 2.52189636e-02 1.62485156e+03 3.58328125e+02]
TIMING : LineCube END [ 0.212422 0.32558703]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 60.301711 161.32626891]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 60.3017 161.326 ]
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 [ 6.23834530e+01 1.64195692e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.95760000e-02 4.96768951e-02 1.62485156e+03 3.58328125e+02]
TIMING : Moment immoments-0 [ 1.82176000e-01 2.48006105e-01 1.63991797e+03 3.73269531e+02]
TIMING : Moment mom0clip [ 7.03720000e-02 2.14415073e-01 1.63991797e+03 3.73457031e+02]
TIMING : Moment implot [ 9.45500000e-02 3.33016872e-01 1.63991797e+03 3.73515625e+02]
TIMING : Moment getdata [ 2.11100000e-02 2.11851597e-02 1.63991797e+03 3.73515625e+02]
TIMING : Moment ren+mask_0 [ 3.23331000e-01 1.64315581e+00 1.65027734e+03 3.83875000e+02]
TIMING : Moment done [ 1.47630000e-02 1.48069859e-02 1.65027734e+03 3.83875000e+02]
TIMING : Moment END [ 0.768289 2.53672004]
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 [ 6.32125770e+01 1.64195692e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.86780000e-02 4.87651825e-02 1.65027734e+03 3.83875000e+02]
TIMING : Moment immoments-all [ 8.04700000e-02 3.54916811e-01 1.65027734e+03 3.83875000e+02]
TIMING : Moment mom0clip [ 6.86120000e-02 1.19412184e-01 1.65027734e+03 3.83875000e+02]
TIMING : Moment implot [ 9.25480000e-02 3.33271980e-01 1.65027734e+03 3.83875000e+02]
TIMING : Moment getdata [ 2.07250000e-02 2.07948685e-02 1.65027734e+03 3.83875000e+02]
TIMING : Moment ren+mask_0 [ 2.58970000e-01 1.56769609e+00 1.65027734e+03 3.83875000e+02]
TIMING : Moment makemask [ 1.51624000e-01 5.24944067e-01 1.65027734e+03 3.84324219e+02]
TIMING : Moment implot [ 7.70930000e-02 3.11728954e-01 1.65027734e+03 3.84324219e+02]
TIMING : Moment getdata [ 2.05740000e-02 2.16660500e-02 1.65027734e+03 3.84324219e+02]
TIMING : Moment ren+mask_1 [ 2.62072000e-01 1.56989694e+00 1.65002734e+03 3.84656250e+02]
TIMING : Moment makemask [ 1.52018000e-01 5.85694075e-01 1.65002734e+03 3.84656250e+02]
TIMING : Moment implot [ 7.64230000e-02 3.02270889e-01 1.65002734e+03 3.84656250e+02]
TIMING : Moment getdata [ 2.04680000e-02 2.05299854e-02 1.65002734e+03 3.84656250e+02]
TIMING : Moment ren+mask_2 [ 2.58206000e-01 1.56567907e+00 1.65002734e+03 3.84656250e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 9959.39 5650.19 0.0330578 -26.8437 -26.8437 0.870983
TIMING : Moment mom0flux [ 5.24780000e-02 5.26418686e-02 1.65002734e+03 3.84656250e+02]
TIMING : Moment flux-spectrum [ 2.71609000e-01 1.48028898e+00 1.65002734e+03 3.84656250e+02]
TIMING : Moment done [ 1.46640000e-02 1.47020817e-02 1.65002734e+03 3.84656250e+02]
TIMING : Moment END [ 1.93955 8.90728116]
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 [ 6.52613290e+01 1.64195693e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[72, 70],51.592194
TIMING : CubeSpectrum Moment-pos [ 5.51910000e-02 5.53119183e-02 1.65002734e+03 3.84656250e+02]
TIMING : CubeSpectrum open [ 1.24240000e-02 1.24552250e-02 1.65002734e+03 3.84656250e+02]
TIMING : CubeSpectrum imval [ 3.63330000e-02 3.64818573e-02 1.65002734e+03 3.84656250e+02]
TIMING : CubeSpectrum imhead [ 4.24030000e-02 4.25169468e-02 1.65002734e+03 3.84656250e+02]
REGRESSION : CSP: [2.3468120098114014]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.55530000e-01 1.56501102e+00 1.65002734e+03 3.84656250e+02]
TIMING : CubeSpectrum summary [ 1.27470000e-02 1.27830505e-02 1.65002734e+03 3.84656250e+02]
TIMING : CubeSpectrum END [ 0.427 1.73696303]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp