INFO : AT.py : Setting {'basename': 'x', 'file': 'M31_85778.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_85778.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 [ 1.27356000e+00 1.60824708e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 2.73742000e-01 1.66448116e-01 1.09024219e+03 2.15503906e+02]
TIMING : Ingest importfits [ 1.23002000e-01 1.32749081e-01 1.09076562e+03 2.16785156e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 6.27210000e-02 7.33838081e-02 1.09841406e+03 2.25007812e+02]
TIMING : Ingest summary-0 [ 1.24490000e-02 1.24490261e-02 1.09841406e+03 2.25007812e+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 [ 1.04966000e-01 1.14729166e-01 1.09841406e+03 2.25363281e+02]
TIMING : Ingest summary-1 [ 1.10220000e-02 1.10199451e-02 1.09841406e+03 2.25363281e+02]
TIMING : Ingest statistics [ 2.02790000e-02 2.03008652e-02 1.14547656e+03 2.33281250e+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 -0.840157 1.664312
INFO : Ingest_AT.py : S/N (all data): 12.341230
INFO : Ingest_AT.py : GOOD PIXELS: 1792089/1792089 (100.000000% good or 0.000000% bad)
REGRESSION : CUBE: -0.840157 1.66431 0.134858 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 [ 5.94433000e-01 3.96920204e-01 1.14847656e+03 2.36718750e+02]
TIMING : Ingest END [ 1.21398 0.9393661]
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 [ 2.53924500e+00 1.60824708e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.80760000e-02 5.80768585e-02 1.14722656e+03 2.35710938e+02]
TIMING : CubeStats start [ 1.39940000e-02 1.40011311e-02 1.14722656e+03 2.35710938e+02]
TIMING : CubeStats imstat0 [ 4.82760000e-01 1.11412048e-01 1.62016016e+03 2.86628906e+02]
TIMING : CubeStats imstat1 [ 2.39067000e-01 6.31909370e-02 1.62016016e+03 2.86628906e+02]
INFO : CubeStats_AT.py : sigma varies from 0.113176 to 0.153578; 689/689 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 6.59113000e-01 6.59134865e-01 1.62016016e+03 2.86628906e+02]
INFO : CubeStats_AT.py : CubeMax: 1.664312 @ [ 10 38 336 0]
INFO : CubeStats_AT.py : CubeMin: -0.840157 @ [ 0 1 12 0]
INFO : CubeStats_AT.py : CubeRMS: 0.129541
INFO : CubeStats_AT.py : RMS Sanity check 1.041045
REGRESSION : CST: 0.129541 1.041045
INFO : CubeStats_AT.py : mean,rms,S/N=0.003310 0.129541 12.847777
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.818926 1.559878
TIMING : CubeStats plotting [ 1.658176 1.76227808 1626.04296875 294.55859375]
TIMING : CubeStats done [ 9.49400000e-03 9.49192047e-03 1.62604297e+03 2.94558594e+02]
TIMING : CubeStats summary [ 8.09800000e-03 8.09717178e-03 1.62604297e+03 2.94558594e+02]
TIMING : CubeStats END [ 3.136875 2.69378686]
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 [ 5.71554300e+00 1.60824708e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.129541
TIMING : CubeSum start [ 3.48670000e-02 3.48689556e-02 1.62604297e+03 2.94558594e+02]
TIMING : CubeSum immoments [ 3.75300000e-02 5.15611172e-02 1.62604297e+03 2.94558594e+02]
TIMING : CubeSum statistics [ 1.38320000e-02 1.38330460e-02 1.62604297e+03 2.94558594e+02]
INFO : CubeSum_AT.py : Total flux: 54249.309605 (sum=1793.365085)
REGRESSION : CSM: [54249.309604601716, 1793.3650850574486]
TIMING : CubeSum implot [ 1.02253000e-01 5.65699697e+00 1.69804688e+03 2.94839844e+02]
TIMING : CubeSum getdata [ 1.43520000e-02 1.43508911e-02 1.69804688e+03 2.94839844e+02]
TIMING : CubeSum done [ 1.58899000e-01 1.62814140e-01 1.69804688e+03 2.94957031e+02]
TIMING : CubeSum END [ 0.370654 5.94334507]
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 [ 6.12390700e+00 1.60824709e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 2.04360000e-02 2.04370022e-02 1.69804688e+03 2.94957031e+02]
TIMING : SFind2D imstat [ 3.00870000e-02 3.00869942e-02 1.69804688e+03 2.94957031e+02]
INFO : AT.py : Setting 'sigma' = 2.58525338841 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.58525 -2.85213 20.2945 35 0.509548
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 6.56200000e-02 6.92481995e-02 1.69804688e+03 2.95539062e+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 : 00:42:39.474 +41.32.07.16 17.29 39.16 18.7 99.8 42.836 14.475 57.6 7.2
INFO : SFind2D_AT.py : 00:42:29.691 +41.28.55.20 37.28 4.25 13.1 85.7 27.500 27.500 180.0 5.1
INFO : SFind2D_AT.py : 00:42:29.685 +41.29.00.04 37.29 5.13 12.7 103 43.559 20.876 27.9 4.9
INFO : SFind2D_AT.py : 00:42:39.402 +41.32.07.03 17.44 39.13 18.7 87.7 37.564 13.356 52.3 7.2
INFO : SFind2D_AT.py : 00:42:41.974 +41.32.10.00 12.19 39.67 5.6 82.5 45.619 25.546 120.5 2.2
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 1.62169000e-01 1.63784027e-01 1.69804688e+03 2.95539062e+02]
REGRESSION : CONTFLUX: 5 458.749
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 [ 1.80781000e-01 1.87025785e-01 1.69804688e+03 2.95632812e+02]
TIMING : SFind2D END [ 0.468028 0.47951603]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 5.60798 10.50017309]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.60798 10.5002 ]
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 [ 6.74590800e+00 1.60824709e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[10, 38, 336],1.664312
TIMING : CubeSpectrum CubeStats-pos [ 3.07460000e-02 3.07471752e-02 1.69804688e+03 2.95632812e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 40],20.294487
TIMING : CubeSpectrum Moment-pos [ 2.74530000e-02 2.74629593e-02 1.69804688e+03 2.95632812e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('00h42m39.474s', '+41d32m07.16s'),18.743057
TIMING : CubeSpectrum SourceList-pos [ 2.30450000e-02 2.30438709e-02 1.69804688e+03 2.95632812e+02]
TIMING : CubeSpectrum open [ 7.88300000e-03 7.88307190e-03 1.69804688e+03 2.95632812e+02]
TIMING : CubeSpectrum imval [ 3.02490000e-02 3.02500725e-02 1.69804688e+03 2.96003906e+02]
TIMING : CubeSpectrum imhead [ 2.74430000e-02 2.74438858e-02 1.69804688e+03 2.96003906e+02]
TIMING : CubeSpectrum imval [ 1.58322000e-01 1.63074970e-01 1.69804688e+03 2.96003906e+02]
TIMING : CubeSpectrum imval [ 1.82132000e-01 1.86585188e-01 1.69804688e+03 2.96066406e+02]
REGRESSION : CSP: [1.4463015794754028, 1.4617654085159302, 1.6643116474151611]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.91365000e-01 1.96309805e-01 1.69804688e+03 2.96066406e+02]
TIMING : CubeSpectrum summary [ 8.93400000e-03 8.93402100e-03 1.69804688e+03 2.96066406e+02]
TIMING : CubeSpectrum END [ 0.696809 0.71097302]
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 [ 7.48226900e+00 1.60824709e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 1.54740000e-02 1.54750347e-02 1.69804688e+03 2.96066406e+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 [ 19.687285 19.71860504 1698.046875 296.12890625]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder [ 3.083957 3.08491087 1698.046875 296.12890625]
INFO : LineSegment_AT.py : Segment Coverage 38 / 689 = 0.0551524
REGRESSION : LINESEG: [[115.28755837881249, 115.29107510896795], [115.36380226419207, 115.3861079893781], [115.3978513096984, 115.39902577320002], [115.30436247045759, 115.30514417533745], [115.24381256632485, 115.2453743451025], [115.24693616621106, 115.25084090419136], [115.31374362861006, 115.31491638071235], [115.34619857197193, 115.34776312706191], [115.44563211493208, 115.44719936863491], [115.46522584519839, 115.46718558403605], [115.47384919370873, 115.47502520466702], [115.36693237202013, 115.38023722545576], [115.36693237202013, 115.37906314435865], [115.3657585616799, 115.37397573570451]]
TIMING : LineSegment done [ 1.810284 1.83854103 1724.14453125 322.484375 ]
TIMING : LineSegment END [ 24.606716 24.66724896]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 31.12881 36.12994313]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.1288 36.1299 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 31.207992 36.24169397]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 31.208 36.2417 ]
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 [ 3.23941690e+01 1.60824711e+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 [ 11.182537 11.18299317 1724.14453125 322.72265625]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 10.921868 10.92247796 1724.14453125 322.72265625]
TIMING : LineID segment finder [ 1.02010000e-02 1.02000237e-02 1.72414453e+03 3.22722656e+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: H2CCCHCN 22(1,21)-21(1,20) @ 115.13031GHz, channels 9 - 13
REGRESSION : LINEID: H2CCCHCN 115.13031 9 13
INFO : LineID_AT.py : Found line: CH3C5N 74(0)-73(0),F=75-74 @ 115.13571GHz, channels 17 - 27
REGRESSION : LINEID: CH3C5N 115.13571 17 27
INFO : LineID_AT.py : Found line: CH3C5N 74(0)-73(0),F=73-72 @ 115.13571GHz, channels 17 - 27
WARNING : LineID_AT.py : Skipping duplicate UID: CH3C5N_115.13571
INFO : LineID_AT.py : Found line: CH3C5N 74(0)-73(0),F=74-73 @ 115.13571GHz, channels 17 - 27
WARNING : LineID_AT.py : Skipping duplicate UID: CH3C5N_115.13571
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 121 - 600
REGRESSION : LINEID: CO 115.27120 121 600
INFO : LineID_AT.py : Line Coverage 496 / 689 = 0.719884
TIMING : LineID done [ 12.702536 12.72565603 1830.41015625 430.0703125 ]
TIMING : LineID END [ 34.829976 34.85416007]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 66.31765 71.40746498]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 66.3177 71.4075 ]
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 [ 6.74292780e+01 1.60824715e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 3.35460000e-02 3.12900543e-02 1.79464453e+03 3.94488281e+02]
TIMING : LineCube pad [ 1.08976000e-01 1.29380226e-02 1.79464453e+03 3.94488281e+02]
TIMING : LineCube trans-x.H2CCCHCN_115.13031 [ 5.20380000e-02 6.77490234e-02 1.79464453e+03 3.94488281e+02]
TIMING : LineCube trans-x.CH3C5N_115.13571 [ 5.35720000e-02 6.70690536e-02 1.79464453e+03 3.94488281e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 5.30860000e-02 6.65209293e-02 1.79464453e+03 3.94488281e+02]
REGRESSION : LC: [4, 18, 12, 32, 116, 605]
TIMING : LineCube done [ 1.76680000e-02 1.76661015e-02 1.79464453e+03 3.94488281e+02]
TIMING : LineCube END [ 0.327389 0.27173615]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.H2CCCHCN_115.13031/lc.im
INFO : AT.py : BDP_OUT[1] = LineCube_BDP x.CH3C5N_115.13571/lc.im
INFO : AT.py : BDP_OUT[2] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 66.792963 71.86469793]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 66.793 71.8647 ]
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 'moments' = [0, 1, 2] for Moment_AT
INFO : AT.py : Setting 'mom0clip' = 2.0 for Moment_AT
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 - '@3' (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 [ 6.80368360e+01 1.60824715e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.66740000e-02 3.66749763e-02 1.79464453e+03 3.94488281e+02]
TIMING : Moment immoments-0 [ 5.19520000e-02 6.44910336e-02 1.79464453e+03 3.94488281e+02]
TIMING : Moment mom0clip [ 5.08190000e-02 5.95850945e-02 1.79464453e+03 3.94957031e+02]
TIMING : Moment implot [ 7.22060000e-02 2.53085852e-01 1.79464453e+03 3.95082031e+02]
TIMING : Moment getdata [ 1.37050000e-02 1.37059689e-02 1.79464453e+03 3.95082031e+02]
TIMING : Moment ren+mask_0 [ 2.28057000e-01 2.31280088e-01 1.79840625e+03 3.98843750e+02]
TIMING : Moment done [ 1.26140000e-02 1.26180649e-02 1.79840625e+03 3.98843750e+02]
TIMING : Moment END [ 0.477449 0.6829381]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x-@3.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 [ 6.85561890e+01 1.60824715e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.24740000e-02 3.24850082e-02 1.79840625e+03 3.98843750e+02]
TIMING : Moment immoments-all [ 4.05870000e-02 7.15889931e-02 1.79840625e+03 3.98843750e+02]
TIMING : Moment mom0clip [ 4.63720000e-02 5.59821129e-02 1.79840625e+03 3.98843750e+02]
TIMING : Moment implot [ 6.61620000e-02 2.28802919e-01 1.79840625e+03 3.98843750e+02]
TIMING : Moment getdata [ 1.39170000e-02 1.39160156e-02 1.79840625e+03 3.98843750e+02]
TIMING : Moment ren+mask_0 [ 1.78372000e-01 1.81913853e-01 1.79790625e+03 3.98343750e+02]
TIMING : Moment makemask [ 7.79850000e-02 1.28512144e-01 1.79790625e+03 3.98343750e+02]
TIMING : Moment implot [ 5.48830000e-02 2.07738876e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.32660000e-02 1.32670403e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_1 [ 1.64465000e-01 1.67983055e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment makemask [ 8.02900000e-02 1.26841068e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 5.15970000e-02 2.01511860e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.33570000e-02 1.33559704e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_2 [ 1.81289000e-01 1.84514999e-01 1.79790625e+03 3.99140625e+02]
REGRESSION : MOM0FLUX: x.H2CCCHCN_115.13031 -196.361 4.59451 0.0330578 -297.43 -297.43 3.12604
TIMING : Moment mom0flux [ 3.47220000e-02 3.47220898e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment flux-spectrum [ 2.94492000e-01 1.94221973e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment done [ 1.06390000e-02 1.06379986e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment END [ 1.363549 1.87667489]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.H2CCCHCN_115.13031/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.H2CCCHCN_115.13031/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.H2CCCHCN_115.13031/lc.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@1' (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 [ 6.99947110e+01 1.60824715e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.29310000e-02 3.29301357e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment immoments-all [ 4.15970000e-02 7.15010166e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment mom0clip [ 5.04110000e-02 6.23488426e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 6.81860000e-02 2.41008997e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.36010000e-02 1.36010647e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_0 [ 1.78112000e-01 1.81123018e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment makemask [ 8.41390000e-02 1.32220030e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 5.22610000e-02 2.17470884e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.38970000e-02 1.39400959e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_1 [ 1.88049000e-01 1.91452026e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment makemask [ 9.04990000e-02 1.37965918e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 5.33920000e-02 2.11614132e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.33510000e-02 1.33519173e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_2 [ 1.67057000e-01 1.69932127e-01 1.79790625e+03 3.99140625e+02]
REGRESSION : MOM0FLUX: x.CH3C5N_115.13571 -372.31 9.94685 0.0330578 -294.873 -294.873 4.53233
TIMING : Moment mom0flux [ 3.36620000e-02 3.36608887e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment flux-spectrum [ 2.91190000e-01 1.88299894e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment done [ 1.14160000e-02 1.14150047e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment END [ 1.397847 1.93793201]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CH3C5N_115.13571/lc-@1.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CH3C5N_115.13571/lc-@1.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CH3C5N_115.13571/lc-@1.mom_2
INFO :
INFO :
INFO : Executing Moment_AT - '@2' (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 [ 7.14730770e+01 1.60824715e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 3.51520000e-02 3.51529121e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment immoments-all [ 4.79410000e-02 7.61110783e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment mom0clip [ 4.89580000e-02 5.95428944e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 6.85510000e-02 2.46721029e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.40570000e-02 1.40581131e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_0 [ 1.83403000e-01 1.86371803e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment makemask [ 8.70210000e-02 1.33261204e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 5.48270000e-02 2.14702845e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.45290000e-02 1.45289898e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_1 [ 1.68990000e-01 1.72620058e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment makemask [ 8.94720000e-02 1.37701988e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment implot [ 5.30690000e-02 2.30329990e-01 1.79790625e+03 3.99140625e+02]
TIMING : Moment getdata [ 1.40430000e-02 1.40430927e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment ren+mask_2 [ 1.77078000e-01 1.82890892e-01 1.79790625e+03 3.99140625e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 4086.54 2195.11 0.0330578 -258.582 -258.582 26.5006
TIMING : Moment mom0flux [ 3.53830000e-02 3.54349613e-02 1.79790625e+03 3.99140625e+02]
TIMING : Moment flux-spectrum [ 3.69725000e-01 2.31691122e-01 1.79790625e+03 3.99144531e+02]
TIMING : Moment done [ 1.01560000e-02 1.01890564e-02 1.79790625e+03 3.99144531e+02]
TIMING : Moment END [ 1.481004 2.00400186]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.CO_115.27120/lc-@2.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.CO_115.27120/lc-@2.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.CO_115.27120/lc-@2.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 [ 7.30349430e+01 1.60824715e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[0, 21],1.133288
TIMING : CubeSpectrum Moment-pos [ 3.98910000e-02 3.98879051e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum open [ 8.79300000e-03 8.79406929e-03 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imval [ 2.91460000e-02 2.92458534e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imhead [ 3.83770000e-02 3.85391712e-02 1.79790625e+03 3.99144531e+02]
REGRESSION : CSP: [0.43062615394592285]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.88623000e-01 1.91974878e-01 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum summary [ 8.46700000e-03 8.46815109e-03 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum END [ 0.321814 0.32542586]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.H2CCCHCN_115.13031/lc-@1.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@2' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 7.33979760e+01 1.60824715e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[6, 0],1.482431
TIMING : CubeSpectrum Moment-pos [ 3.77690000e-02 3.77678871e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum open [ 1.25400000e-02 1.25410557e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imval [ 2.77110000e-02 2.78220177e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imhead [ 3.31670000e-02 3.32269669e-02 1.79790625e+03 3.99144531e+02]
REGRESSION : CSP: [0.50631368160247803]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.84506000e-01 1.87998056e-01 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum summary [ 1.05040000e-02 1.05848312e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum END [ 0.315083 0.31882691]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CH3C5N_115.13571/lc-@2.csp
INFO :
INFO :
INFO : Executing CubeSpectrum_AT - '@3' (V1.2.4)
INFO :
INFO :
INFO : Run using the following settings:
INFO : xaxis :
INFO : sources : [0]
INFO : pos : []
INFO :
TIMING : CubeSpectrum ADMIT [ 7.37607870e+01 1.60824716e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[17, 40],24.087542
TIMING : CubeSpectrum Moment-pos [ 4.10270000e-02 4.10859585e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum open [ 9.88300000e-03 9.99689102e-03 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imval [ 3.01980000e-02 3.02710533e-02 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum imhead [ 3.14010000e-02 3.14011574e-02 1.79790625e+03 3.99144531e+02]
REGRESSION : CSP: [1.4617654085159302]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 1.91944000e-01 1.97985888e-01 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum summary [ 8.77400000e-03 8.78596306e-03 1.79790625e+03 3.99144531e+02]
TIMING : CubeSpectrum END [ 0.321627 0.32792592]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@3.csp