INFO : AT.py : Setting {'basename': 'x', 'file': 'R-Cas_94051.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_94051.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 [ 2.24623800e+00 1.64738519e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: R-Cas SHAPE: [ 27 27 2062]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.62316000e-01 1.68264866e-01 1.41021875e+03 2.11472656e+02]
TIMING : Ingest importfits [ 1.04494000e-01 2.17819214e-01 1.41085938e+03 2.13171875e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.25820000e-02 7.42697716e-02 1.41276953e+03 2.16085938e+02]
TIMING : Ingest summary-0 [ 1.37510000e-02 1.38030052e-02 1.41276953e+03 2.16085938e+02]
TIMING : Ingest mask [ 2.42860000e-02 3.34470272e-02 1.41276953e+03 2.16085938e+02]
TIMING : Ingest summary-1 [ 1.32810000e-02 1.76520348e-02 1.41276953e+03 2.16085938e+02]
TIMING : Ingest statistics [ 3.83710000e-02 3.84831429e-02 1.41276953e+03 2.17195312e+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: [ 27 27 2062 1] 1350610 -1.189375 70.345955
INFO : Ingest_AT.py : S/N (all data): 216.475782
INFO : Ingest_AT.py : GOOD PIXELS: 1350610/1503198 (89.849108% good or 10.150892% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -1.18938 70.346 0.32496 27 27 2062 10.150892
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: 114.561300 -7.499999 13.000000
INFO : Ingest_AT.py : DEC Axis 2: -10.619000 7.499999 13.000000
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 [ 5.53267000e-01 5.58265924e-01 1.41494141e+03 2.19460938e+02]
TIMING : Ingest END [ 0.974427 1.13411903]
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 [ 3.28121000e+00 1.64738519e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 6.19830000e-02 6.22398853e-02 1.41449219e+03 2.19500000e+02]
TIMING : CubeStats start [ 1.26670000e-02 1.27079487e-02 1.41449219e+03 2.19500000e+02]
TIMING : CubeStats imstat0 [ 1.15827000e-01 1.16250038e-01 1.42851172e+03 2.33867188e+02]
TIMING : CubeStats imstat1 [ 1.82845000e-01 1.83391094e-01 1.42851172e+03 2.33867188e+02]
INFO : CubeStats_AT.py : sigma varies from 0.054081 to 0.205935; 2062/2062 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.108162 (3.80789 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 2.021434 2.02855301 1428.51171875 234.3046875 ]
INFO : CubeStats_AT.py : CubeMax: 70.345955 @ [ 12 14 1035 0]
INFO : CubeStats_AT.py : CubeMin: -1.189375 @ [ 26 14 1221 0]
INFO : CubeStats_AT.py : CubeRMS: 0.066359
INFO : CubeStats_AT.py : RMS Sanity check 4.896989
WARNING : CubeStats_AT.py : RMS sanity check = 4.896989. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.066359 4.896989
INFO : CubeStats_AT.py : mean,rms,S/N=0.006209 0.066359 1060.079529
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.519665 1.333573
TIMING : CubeStats plotting [ 2.481094 2.65890002 1455.1328125 258.95703125]
TIMING : CubeStats done [ 1.38220000e-02 1.38838291e-02 1.45513281e+03 2.58957031e+02]
TIMING : CubeStats summary [ 1.22000000e-02 1.22711658e-02 1.45513281e+03 2.58957031e+02]
TIMING : CubeStats END [ 4.914013 5.10038996]
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 [ 8.25484800e+00 1.64738519e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.066359
TIMING : CubeSum start [ 5.18520000e-02 5.20708561e-02 1.45513281e+03 2.58957031e+02]
TIMING : CubeSum immoments [ 5.50900000e-02 8.27541351e-02 1.45513281e+03 2.59132812e+02]
TIMING : CubeSum statistics [ 1.93120000e-02 1.93858147e-02 1.45513281e+03 2.59132812e+02]
INFO : CubeSum_AT.py : Total flux: 146899.810280 (sum=2611.553018)
REGRESSION : CSM: [146899.81027983627, 2611.5530184495437]
TIMING : CubeSum implot [ 1.43994000e-01 6.06721115e+00 1.52713672e+03 2.59214844e+02]
TIMING : CubeSum getdata [ 2.08340000e-02 2.09100246e-02 1.52713672e+03 2.59214844e+02]
TIMING : CubeSum done [ 2.34125000e-01 2.54034996e-01 1.52713672e+03 2.59269531e+02]
TIMING : CubeSum END [ 0.538867 6.51006889]
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 [ 8.85380000e+00 1.64738520e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.32730000e-02 3.33731174e-02 1.52713672e+03 2.59269531e+02]
TIMING : SFind2D imstat [ 4.09090000e-02 4.11670208e-02 1.52713672e+03 2.59269531e+02]
INFO : AT.py : Setting 'sigma' = 2.18230310021 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.1823 -0.488447 201.496 35 0.043322
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 1.02306000e-01 1.34628057e-01 1.52713672e+03 2.60140625e+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 : 07:38:14.981 -10.37.04.35 12.47 13.54 155 336 25.205 18.881 50.0 71.2
INFO : SFind2D_AT.py : 07:38:14.982 -10.37.04.35 12.47 13.54 155 333 25.146 18.621 49.9 71.2
INFO : SFind2D_AT.py : 07:38:14.979 -10.37.04.37 12.48 13.54 155 334 24.922 18.854 49.6 71.2
INFO : SFind2D_AT.py : 07:38:17.209 -10.37.18.17 8.09 11.70 5.18 26.7 37.500 37.500 90.0 2.4
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.07378000e-01 2.11421013e-01 1.52713672e+03 2.60140625e+02]
REGRESSION : CONTFLUX: 4 1030.36
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 [ 3.06796000e-01 3.26661825e-01 1.52713672e+03 2.60261719e+02]
TIMING : SFind2D END [ 0.704204 0.76083708]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 7.784608 14.21742606]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 7.78461 14.2174 ]
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 [ 9.83909300e+00 1.64738520e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[12, 14, 1035],70.345955
TIMING : CubeSpectrum CubeStats-pos [ 4.78490000e-02 4.79760170e-02 1.52713672e+03 2.60261719e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[12, 14],201.496277
TIMING : CubeSpectrum Moment-pos [ 4.12280000e-02 4.13539410e-02 1.52713672e+03 2.60261719e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('07h38m14.981s', '-10d37m04.35s'),155.330002
TIMING : CubeSpectrum SourceList-pos [ 3.57960000e-02 3.58910561e-02 1.52713672e+03 2.60261719e+02]
TIMING : CubeSpectrum open [ 1.21210000e-02 1.21719837e-02 1.52713672e+03 2.60261719e+02]
TIMING : CubeSpectrum imval [ 5.35160000e-02 5.37488461e-02 1.52713672e+03 2.60710938e+02]
TIMING : CubeSpectrum imhead [ 4.17620000e-02 4.19111252e-02 1.52713672e+03 2.60710938e+02]
TIMING : CubeSpectrum imval [ 2.47860000e-01 2.67658949e-01 1.52713672e+03 2.60808594e+02]
REGRESSION : CSP: [70.345954895019531, 70.345954895019531]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.81637000e-01 3.01321030e-01 1.52713672e+03 2.60808594e+02]
TIMING : CubeSpectrum summary [ 1.23240000e-02 1.23579502e-02 1.52713672e+03 2.60808594e+02]
TIMING : CubeSpectrum END [ 0.786205 0.826545]
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 [ 1.06851290e+01 1.64738520e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.43500000e-02 2.44178772e-02 1.52713672e+03 2.60808594e+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 [ 16.525735 16.58095121 1527.13671875 261.20703125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1021, 1058]
WARNING : specutil.py : 0 [1021, 1058]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1023, 1057]
TIMING : LineSegment segment finder [ 3.038366 3.04621196 1527.13671875 261.20703125]
INFO : LineSegment_AT.py : Segment Coverage 38 / 2062 = 0.0184287
REGRESSION : LINESEG: [[86.23398893210269, 86.237309244255542], [86.233891275862902, 86.237504556735104], [86.233891275862902, 86.237504556735104]]
TIMING : LineSegment done [ 2.412863 2.52807498 1557.09765625 291.24609375]
TIMING : LineSegment END [ 22.013888 22.19226003]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 30.909825 37.61870313]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 30.9098 37.6187 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 31.012204 37.78041697]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.0122 37.7804 ]
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 [ 3.30919050e+01 1.64738522e+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 [ 5.997821 6.01295519 1557.09765625 291.24609375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.694714 10.72974896 1557.09765625 291.24609375]
TIMING : LineID segment finder [ 1.47580000e-02 1.48270130e-02 1.55709766e+03 2.91246094e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [1021, 1058]
WARNING : specutil.py : 0 [1021, 1058]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [1023, 1057]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: SiO 2-1 @ 86.24337GHz, channels 1021 - 1058
REGRESSION : LINEID: SiO 86.24337 1021 1058
INFO : LineID_AT.py : Line Coverage 38 / 2062 = 0.0184287
TIMING : LineID done [ 14.727417 14.93656802 1670.07421875 403.9921875 ]
TIMING : LineID END [ 31.448788 31.70822001]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 62.972162 70.06893396]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 62.9722 70.0689 ]
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 [ 6.50048300e+01 1.64738525e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 5.78470000e-02 5.84201813e-02 1.63210156e+03 3.66328125e+02]
TIMING : LineCube pad [ 1.41000000e-02 1.41580105e-02 1.63210156e+03 3.66328125e+02]
TIMING : LineCube trans-x.SiO_86.24337 [ 7.14700000e-02 2.53821850e-01 1.63210156e+03 3.66437500e+02]
REGRESSION : LC: [1016, 1063]
TIMING : LineCube done [ 2.49610000e-02 2.50291824e-02 1.63210156e+03 3.66437500e+02]
TIMING : LineCube END [ 0.180681 0.36376905]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.SiO_86.24337/lc.im
TIMING : ADMITrun END [ 63.327807 70.66851807]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 63.3278 70.6685 ]
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 [ 6.54579930e+01 1.64738526e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.92260000e-02 4.93550301e-02 1.63210156e+03 3.66437500e+02]
TIMING : Moment immoments-0 [ 6.03070000e-02 1.02240086e-01 1.63210156e+03 3.66437500e+02]
TIMING : Moment mom0clip [ 7.04800000e-02 1.03235960e-01 1.63210156e+03 3.66437500e+02]
TIMING : Moment implot [ 1.00776000e-01 3.55222940e-01 1.63533594e+03 3.69796875e+02]
TIMING : Moment getdata [ 2.17490000e-02 2.18150616e-02 1.63533594e+03 3.69796875e+02]
TIMING : Moment ren+mask_0 [ 4.20854000e-01 4.25646067e-01 1.63962109e+03 3.74082031e+02]
TIMING : Moment done [ 1.59430000e-02 1.59859657e-02 1.63962109e+03 3.74082031e+02]
TIMING : Moment END [ 0.751627 1.08582616]
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 [ 6.62702950e+01 1.64738526e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.82840000e-02 4.83880043e-02 1.63962109e+03 3.74082031e+02]
TIMING : Moment immoments-all [ 6.50200000e-02 3.46566916e-01 1.63962109e+03 3.74082031e+02]
TIMING : Moment mom0clip [ 6.78690000e-02 1.19735003e-01 1.63962109e+03 3.74082031e+02]
TIMING : Moment implot [ 9.50150000e-02 3.41295004e-01 1.63962109e+03 3.74082031e+02]
TIMING : Moment getdata [ 2.15460000e-02 2.16109753e-02 1.63962109e+03 3.74082031e+02]
TIMING : Moment ren+mask_0 [ 3.03918000e-01 3.08790207e-01 1.63962109e+03 3.74082031e+02]
TIMING : Moment makemask [ 1.49329000e-01 4.27771807e-01 1.63962109e+03 3.74472656e+02]
TIMING : Moment implot [ 7.99550000e-02 3.11145067e-01 1.63962109e+03 3.74472656e+02]
TIMING : Moment getdata [ 2.13460000e-02 2.14431286e-02 1.63962109e+03 3.74472656e+02]
TIMING : Moment ren+mask_1 [ 3.01495000e-01 3.06304932e-01 1.63962109e+03 3.74906250e+02]
TIMING : Moment makemask [ 1.48242000e-01 3.89932871e-01 1.63962109e+03 3.74906250e+02]
TIMING : Moment implot [ 8.08250000e-02 3.08897018e-01 1.63962109e+03 3.74906250e+02]
TIMING : Moment getdata [ 2.13020000e-02 2.13620663e-02 1.63962109e+03 3.74906250e+02]
TIMING : Moment ren+mask_2 [ 3.05352000e-01 3.09304953e-01 1.63962109e+03 3.74906250e+02]
REGRESSION : MOM0FLUX: x.SiO_86.24337 2740.89 1610.04 0.0177778 25.2419 25.2419 0.00784652
TIMING : Moment mom0flux [ 5.15350000e-02 5.17261028e-02 1.63962109e+03 3.74906250e+02]
TIMING : Moment flux-spectrum [ 3.04292000e-01 3.08969975e-01 1.63962109e+03 3.74906250e+02]
TIMING : Moment done [ 1.56530000e-02 1.56860352e-02 1.63962109e+03 3.74906250e+02]
TIMING : Moment END [ 2.09329 3.67128396]
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 [ 6.84718160e+01 1.64738526e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[12, 14],202.154480
TIMING : CubeSpectrum Moment-pos [ 5.45620000e-02 5.47089577e-02 1.63962109e+03 3.74906250e+02]
TIMING : CubeSpectrum open [ 1.22650000e-02 1.22931004e-02 1.63962109e+03 3.74906250e+02]
TIMING : CubeSpectrum imval [ 3.67440000e-02 3.69050503e-02 1.63962109e+03 3.74906250e+02]
TIMING : CubeSpectrum imhead [ 4.23810000e-02 4.25050259e-02 1.63962109e+03 3.74906250e+02]
REGRESSION : CSP: [70.345954895019531]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.07533000e-01 3.11600924e-01 1.63962109e+03 3.74906250e+02]
TIMING : CubeSpectrum summary [ 1.25070000e-02 1.25498772e-02 1.63962109e+03 3.74906250e+02]
TIMING : CubeSpectrum END [ 0.478208 0.48282814]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.SiO_86.24337/lc-@1.csp