INFO : AT.py : Setting {'basename': 'x', 'file': 'NGC5194_91112.nfs.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 : NGC5194_91112.nfs.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 [ 2.20526300e+00 1.64394441e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: NGC5194 SHAPE: [177 177 590]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 3.42985000e-01 3.50193024e-01 1.41062109e+03 2.17808594e+02]
TIMING : Ingest importfits [ 2.35615000e-01 2.97588825e-01 1.41095703e+03 2.19296875e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 1.17447000e-01 2.11469173e-01 1.41200000e+03 2.21179688e+02]
TIMING : Ingest summary-0 [ 1.47790000e-02 1.48978233e-02 1.41200000e+03 2.21179688e+02]
TIMING : Ingest mask [ 1.22940000e-01 1.33556128e-01 1.41200000e+03 2.21179688e+02]
TIMING : Ingest summary-1 [ 1.42500000e-02 1.77919865e-02 1.41200000e+03 2.21179688e+02]
TIMING : Ingest statistics [ 1.74650000e-01 1.75142050e-01 1.41228516e+03 2.22542969e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 14.375001600000001, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.375001600000001, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [177 177 590 1] 8791000 -0.073970 0.650974
INFO : Ingest_AT.py : S/N (all data): 27.626901
INFO : Ingest_AT.py : GOOD PIXELS: 8791000/18484110 (47.559769% good or 52.440231% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.0739696 0.650974 0.0235631 177 177 590 52.440231
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: NGC5194
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 202.469600 -6.250000 88.000000
INFO : Ingest_AT.py : DEC Axis 2: 47.195170 6.250000 88.000000
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: 114.964 0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=-1.015921 km/s @ fc=115.078726 fw=0.230469 GHz
INFO : Ingest_AT.py : RESTFREQ: 115.271 115.271 -1
INFO : Ingest_AT.py : VLSRc= 500.589066 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= -599.393390
INFO : Ingest_AT.py : VLSR = 500.589066 errs = 0.000000 0.000000 0.000000 width = -1.015921
TIMING : Ingest done [ 6.82910000e-01 6.88549995e-01 1.41542188e+03 2.26050781e+02]
TIMING : Ingest END [ 1.717605 1.90124893]
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 [ 3.98352900e+00 1.64394442e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.18340000e-02 5.27560711e-02 1.41467188e+03 2.25906250e+02]
TIMING : CubeStats start [ 1.26680000e-02 1.27148628e-02 1.41467188e+03 2.25906250e+02]
TIMING : CubeStats imstat0 [ 6.60376000e-01 6.62665129e-01 1.44604297e+03 2.57578125e+02]
TIMING : CubeStats imstat1 [ 6.78071000e-01 6.80229902e-01 1.41392188e+03 2.25703125e+02]
INFO : CubeStats_AT.py : sigma varies from 0.006333 to 0.014208; 590/590 channels ok
WARNING : CubeStats_AT.py : sigma varies too much, going to clip to 0.0126655 (2.24363 > 2)
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 9.88402000e-01 9.93093967e-01 1.42460938e+03 2.36269531e+02]
INFO : CubeStats_AT.py : CubeMax: 0.650974 @ [ 89 83 261 0]
INFO : CubeStats_AT.py : CubeMin: -0.073970 @ [ 73 114 71 0]
INFO : CubeStats_AT.py : CubeRMS: 0.011576
INFO : CubeStats_AT.py : RMS Sanity check 2.035463
WARNING : CubeStats_AT.py : RMS sanity check = 2.035463. Either bad sidelobes, lotsa signal, or both
REGRESSION : CST: 0.011576 2.035463
INFO : CubeStats_AT.py : mean,rms,S/N=0.002594 0.011576 56.233522
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 3.027358 3.517729
TIMING : CubeStats plotting [ 2.272729 2.46010113 1455.45703125 265.59765625]
TIMING : CubeStats done [ 1.34630000e-02 1.34987831e-02 1.45545703e+03 2.65597656e+02]
TIMING : CubeStats summary [ 1.21590000e-02 1.22041702e-02 1.45545703e+03 2.65597656e+02]
TIMING : CubeStats END [ 4.70187 4.89946985]
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 [ 8.74498800e+00 1.64394442e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.011576
TIMING : CubeSum start [ 5.16150000e-02 5.17737865e-02 1.45545703e+03 2.65597656e+02]
TIMING : CubeSum immoments [ 2.03315000e-01 2.43410110e-01 1.46116797e+03 2.71632812e+02]
TIMING : CubeSum statistics [ 1.98910000e-02 1.99830532e-02 1.46116797e+03 2.71632812e+02]
INFO : CubeSum_AT.py : Total flux: 666275.628000 (sum=17056.658260)
REGRESSION : CSM: [666275.62800009386, 17056.658260054588]
TIMING : CubeSum implot [ 1.63683000e-01 6.12680101e+00 1.53317188e+03 2.71660156e+02]
TIMING : CubeSum getdata [ 2.54340000e-02 2.55370140e-02 1.53317188e+03 2.71660156e+02]
TIMING : CubeSum done [ 2.89912000e-01 3.10060978e-01 1.53317188e+03 2.71726562e+02]
TIMING : CubeSum END [ 0.767987 6.79176784]
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 [ 9.57373200e+00 1.64394443e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.44490000e-02 3.45518589e-02 1.53317188e+03 2.71726562e+02]
TIMING : SFind2D imstat [ 4.28070000e-02 4.30469513e-02 1.53317188e+03 2.71726562e+02]
INFO : AT.py : Setting 'sigma' = 2.14303613138 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 2.14304 -0.510292 39.3836 35 0.217658
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 2.63924000e-01 2.72024155e-01 1.53317188e+03 2.71910156e+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 : 13:29:51.584 +47.11.39.64 89.83 87.53 33.7 1.12e+03 97.242 61.480 4.2 15.7
INFO : SFind2D_AT.py : 13:30:00.476 +47.12.57.41 75.33 99.97 13 401 124.653 51.786 150.3 6.1
INFO : SFind2D_AT.py : 13:29:45.143 +47.10.16.76 100.34 74.27 10.1 289 100.313 55.321 147.2 4.7
INFO : SFind2D_AT.py : 13:29:46.977 +47.09.54.68 97.34 70.73 10.3 288 126.189 47.821 120.1 4.8
INFO : SFind2D_AT.py : 13:30:00.849 +47.11.52.67 74.72 89.61 9.58 46.1 31.250 31.250 90.0 4.5
INFO : SFind2D_AT.py : 13:30:27.913 +47.09.49.59 30.55 69.97 0 4.87e+03 735.934 69.271 126.3 0.0
INFO : SFind2D_AT.py : 13:29:52.293 +47.09.32.34 88.67 67.16 8.89 136 91.801 35.078 101.0 4.1
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table [ 2.81891000e-01 2.87755013e-01 1.53317188e+03 2.71910156e+02]
REGRESSION : CONTFLUX: 7 7149.71
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 14.4 arcsec , Minor axis: 14.4 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 2.90770000e-01 3.09159040e-01 1.53292188e+03 2.72066406e+02]
TIMING : SFind2D END [ 0.92791 0.96064687]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 8.710288 15.21009994]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 8.71029 15.2101 ]
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 [ 1.07163860e+01 1.64394443e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[89, 83, 261],0.650974
TIMING : CubeSpectrum CubeStats-pos [ 4.93120000e-02 4.94339466e-02 1.53292188e+03 2.72070312e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[91, 87],39.383556
TIMING : CubeSpectrum Moment-pos [ 4.31870000e-02 4.33120728e-02 1.53292188e+03 2.72070312e+02]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('13h29m51.584s', '+47d11m39.64s'),33.731522
TIMING : CubeSpectrum SourceList-pos [ 3.59200000e-02 3.60250473e-02 1.53292188e+03 2.72070312e+02]
TIMING : CubeSpectrum open [ 1.22200000e-02 1.22539997e-02 1.53292188e+03 2.72070312e+02]
TIMING : CubeSpectrum imval [ 4.27300000e-02 4.29239273e-02 1.53292188e+03 2.72421875e+02]
TIMING : CubeSpectrum imhead [ 4.14710000e-02 4.16231155e-02 1.53292188e+03 2.72421875e+02]
TIMING : CubeSpectrum imval [ 2.42960000e-01 2.61832952e-01 1.53292188e+03 2.72484375e+02]
TIMING : CubeSpectrum imval [ 2.62743000e-01 2.81955957e-01 1.53267188e+03 2.72234375e+02]
REGRESSION : CSP: [0.54922127723693848, 0.65097445249557495, 0.38500279188156128]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 3.08212000e-01 3.26941967e-01 1.53267188e+03 2.72234375e+02]
TIMING : CubeSpectrum summary [ 1.25350000e-02 1.25739574e-02 1.53267188e+03 2.72234375e+02]
TIMING : CubeSpectrum END [ 1.06345 1.12107396]
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 [ 1.18400800e+01 1.64394443e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.44400000e-02 2.45089531e-02 1.53267188e+03 2.72234375e+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 [ 21.728344 21.78712702 1532.671875 272.7421875 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [246, 396]
WARNING : specutil.py : 1 [473, 476]
WARNING : specutil.py : 0 [72, 77]
WARNING : specutil.py : 1 [232, 324]
WARNING : specutil.py : 2 [329, 336]
WARNING : specutil.py : 3 [345, 350]
WARNING : specutil.py : 0 [248, 401]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [224, 416]
TIMING : LineSegment segment finder [ 4.128823 4.14430213 1532.671875 272.74609375]
INFO : LineSegment_AT.py : Segment Coverage 180 / 590 = 0.305085
REGRESSION : LINESEG: [[115.05118676365392, 115.12618676873431], [115.05978051423604, 115.1183742682051], [115.14845239524256, 115.14962427032194], [114.99181175963193, 114.99376488476422], [115.0543117638656, 115.09024926629996], [115.09220239143225, 115.09493676661748], [115.09845239185562, 115.10040551698793], [115.06056176428896, 115.1203273933374]]
TIMING : LineSegment done [ 2.271028 2.40155602 1554.390625 294.328125 ]
TIMING : LineSegment END [ 28.164995 28.36988807]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 38.222854 45.10917187]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.2229 45.1092 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 38.319604 45.30226398]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 38.3196 45.3023 ]
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 [ 4.03506140e+01 1.64394446e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 500.59 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 500.589
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 15.206757 15.25535703 1554.390625 294.46875 ]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 6.702785 6.72602391 1554.390625 294.46875 ]
TIMING : LineID segment finder [ 1.41370000e-02 1.41999722e-02 1.55439062e+03 2.94468750e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [246, 396]
WARNING : specutil.py : 1 [473, 476]
WARNING : specutil.py : 0 [72, 77]
WARNING : specutil.py : 1 [232, 324]
WARNING : specutil.py : 2 [329, 336]
WARNING : specutil.py : 3 [345, 350]
WARNING : specutil.py : 0 [248, 401]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [224, 416]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: CO 1-0 @ 115.2712GHz, channels 72 - 476
REGRESSION : LINEID: CO 115.27120 72 476
INFO : LineID_AT.py : Line Coverage 405 / 590 = 0.686441
TIMING : LineID done [ 16.495241 16.69734502 1656.4609375 396.6328125 ]
TIMING : LineID END [ 38.433127 38.70717001]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 77.07797 84.40197682]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 77.078 84.402 ]
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 [ 7.90588200e+01 1.64394450e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 1.90187000e-01 1.91024065e-01 1.60702344e+03 3.47417969e+02]
TIMING : LineCube pad [ 1.34580000e-02 1.34968758e-02 1.60702344e+03 3.47417969e+02]
TIMING : LineCube trans-x.CO_115.27120 [ 1.68352000e-01 3.98470163e-01 1.60702344e+03 3.47656250e+02]
REGRESSION : LC: [67, 481]
TIMING : LineCube done [ 2.49860000e-02 2.50549316e-02 1.60702344e+03 3.47656250e+02]
TIMING : LineCube END [ 0.409264 0.64036298]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.CO_115.27120/lc.im
TIMING : ADMITrun END [ 77.656899 85.2712369]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 77.6569 85.2712 ]
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 [ 7.97335540e+01 1.64394450e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.87460000e-02 4.88829613e-02 1.60702344e+03 3.47656250e+02]
TIMING : Moment immoments-0 [ 2.10593000e-01 2.39753962e-01 1.62594531e+03 3.66453125e+02]
TIMING : Moment mom0clip [ 7.00340000e-02 1.45489931e-01 1.62594531e+03 3.66640625e+02]
TIMING : Moment implot [ 9.86280000e-02 3.66223097e-01 1.62594531e+03 3.66699219e+02]
TIMING : Moment getdata [ 2.31590000e-02 2.32319832e-02 1.62594531e+03 3.66699219e+02]
TIMING : Moment ren+mask_0 [ 4.32087000e-01 4.37463999e-01 1.63069922e+03 3.71453125e+02]
TIMING : Moment done [ 1.62100000e-02 1.62770748e-02 1.63069922e+03 3.71453125e+02]
TIMING : Moment END [ 0.911812 1.28973389]
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 [ 8.07063760e+01 1.64394450e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.83930000e-02 4.85160351e-02 1.63069922e+03 3.71453125e+02]
TIMING : Moment immoments-all [ 2.22953000e-01 4.14787054e-01 1.63069922e+03 3.71453125e+02]
TIMING : Moment mom0clip [ 7.25020000e-02 3.09483051e-01 1.63069922e+03 3.71453125e+02]
TIMING : Moment implot [ 9.81390000e-02 3.90707016e-01 1.63069922e+03 3.71453125e+02]
TIMING : Moment getdata [ 2.31860000e-02 2.32658386e-02 1.63069922e+03 3.71453125e+02]
TIMING : Moment ren+mask_0 [ 3.19852000e-01 3.24542999e-01 1.63069922e+03 3.71453125e+02]
TIMING : Moment makemask [ 1.55872000e-01 4.81508017e-01 1.63069922e+03 3.71902344e+02]
TIMING : Moment implot [ 7.92050000e-02 3.26109171e-01 1.63069922e+03 3.71902344e+02]
TIMING : Moment getdata [ 2.21210000e-02 2.21920013e-02 1.63069922e+03 3.71902344e+02]
TIMING : Moment ren+mask_1 [ 2.94164000e-01 3.00114870e-01 1.63069922e+03 3.72484375e+02]
TIMING : Moment makemask [ 1.53847000e-01 5.24007082e-01 1.63069922e+03 3.72484375e+02]
TIMING : Moment implot [ 7.81530000e-02 3.10196877e-01 1.63069922e+03 3.72484375e+02]
TIMING : Moment getdata [ 2.21670000e-02 2.22370625e-02 1.63069922e+03 3.72484375e+02]
TIMING : Moment ren+mask_2 [ 2.88674000e-01 2.93285131e-01 1.63069922e+03 3.72484375e+02]
REGRESSION : MOM0FLUX: x.CO_115.27120 20843.4 11134.9 0.0256 470.304 470.304 41.9175
TIMING : Moment mom0flux [ 5.36900000e-02 5.38477898e-02 1.63069922e+03 3.72484375e+02]
TIMING : Moment flux-spectrum [ 7.43080000e-01 7.48621225e-01 1.63069922e+03 3.72484375e+02]
TIMING : Moment done [ 1.57490000e-02 1.57868862e-02 1.63069922e+03 3.72484375e+02]
TIMING : Moment END [ 2.704164 4.62167907]
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 [ 8.35198810e+01 1.64394451e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[91, 87],39.952038
TIMING : CubeSpectrum Moment-pos [ 5.52410000e-02 5.53860664e-02 1.63069922e+03 3.72484375e+02]
TIMING : CubeSpectrum open [ 1.23420000e-02 1.23789310e-02 1.63069922e+03 3.72484375e+02]
TIMING : CubeSpectrum imval [ 3.94270000e-02 3.96020412e-02 1.63069922e+03 3.72484375e+02]
TIMING : CubeSpectrum imhead [ 4.25930000e-02 4.27520275e-02 1.63069922e+03 3.72484375e+02]
REGRESSION : CSP: [0.54922127723693848]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.88623000e-01 2.92703867e-01 1.63044922e+03 3.72234375e+02]
TIMING : CubeSpectrum summary [ 1.28170000e-02 1.28531456e-02 1.63044922e+03 3.72234375e+02]
TIMING : CubeSpectrum END [ 0.463483 0.46815085]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.CO_115.27120/lc-@1.csp