INFO : AT.py : Setting {'file': 'member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I.pbcor.fits', 'basename': 'member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I'} for Ingest_AT
INFO : AT.py : Setting 'pb' = member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I.pb.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 :     file :  member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I.pbcor.fits
INFO :     basename :  member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I
INFO :     pb :  member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I.pb.fits
INFO :     usepb :  True
INFO :     mask :  True
INFO :     box :  []
INFO :     edge :  []
INFO :     smooth :  []
INFO :     vlsr :  -999999.9
INFO :     restfreq :  -1.0
INFO : 
TIMING : Ingest ADMIT [6.20230300e+00 1.74524689e+09]
TIMING : Ingest BEGIN [0. 0.]
INFO : Ingest_AT.py : OBJECT: IRAS_16342-3814   SHAPE: [3200 3200 1917    1]
INFO : Ingest_AT.py : basename=member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.I
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start  [1101.386101    202.29088306 2306.83984375  254.9609375 ]
TIMING : Ingest impbcor-1f  [ 560.895863    577.20941687 2664.10546875  613.171875  ]
TIMING : Ingest immath  [ 250.710364    492.82209349 2664.10546875  614.48046875]
TIMING : Ingest moments  [ 323.649226   1115.46853566 2319.25        270.83203125]
TIMING : Ingest impbcor-3  [  17.334029     17.55272675 2319.25        270.83203125]
INFO : Ingest_AT.py : SHAPE: [3200 3200 1917    1]
TIMING : Ingest summary-0  [5.69010000e-02 2.17701197e-01 2.31925000e+03 2.70832031e+02]
TIMING : Ingest mask  [ 149.654846    203.73639345 2319.25        275.953125  ]
TIMING : Ingest summary-1  [2.47550000e-02 6.51671886e-02 2.31925000e+03 2.75953125e+02]
TIMING : Ingest statistics  [ 896.60694      99.86125875 2327.25390625  276.51171875]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'unit': 'arcsec', 'value': 0.0201553572781224}, 'minor': {'unit': 'arcsec', 'value': 0.0198281433058452}, 'pa': {'unit': 'deg', 'value': -56.9968293436}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [3200 3200 1917    1] 19630080000 -0.008282 0.008457
INFO : Ingest_AT.py : S/N (all data): 7.648577
INFO : Ingest_AT.py : GOOD PIXELS: 19630080000/19630080000 (100.000000% good or 0.000000% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.00828177 0.00845736 0.00110574  3200 3200 1917  0.000000
INFO : Ingest_AT.py : TELESCOPE: ALMA
INFO : Ingest_AT.py : OBJECT: IRAS_16342-3814
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA   Axis 1: 249.416358 -0.006300 1600.000000
INFO : Ingest_AT.py : DEC  Axis 2: -38.338117 0.006300 1600.000000
INFO : Ingest_AT.py : VLSRv = 0.000000 (from source catalog)
INFO : Ingest_AT.py : VLSRz = 43.000000 +/- 1.000000   2 values: [42. 44.]
INFO : Ingest_AT.py : Freq Orig Axis 3: 229.594 0.000976649 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency  velocity increment=-1.269862 km/s @ fc=230.530041 fw=1.872236 GHz
INFO : Ingest_AT.py : RESTFREQ: 230.57 230.57 -1
INFO : Ingest_AT.py : VLSRc= 51.955511  VLSRf= 0.000000  VLSRv= 0.000000 VLSRz= 43.000000 WIDTH= -2434.324814
INFO : Ingest_AT.py : VLSR = 43.000000 errs = 1.000000 0.000000 0.000000 width = -1.269862
TIMING : Ingest done  [ 859.353161     96.34366035 2330.00390625  279.375     ]
TIMING : Ingest END [4159.684023   2805.58071399]
INFO : AT.py : BDP_OUT[0] = SpwCube_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.im
INFO : AT.py : BDP_OUT[1] = Image_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.pb
INFO : 
INFO : 
INFO :    Executing CubeStats_AT - '' (V1.2.3)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     robust :  []
INFO :     ppp :  True
INFO :     maxvrms :  2.0
INFO :     psample :  -1
INFO : 
TIMING : CubeStats ADMIT [4.16596915e+03 1.74524970e+09]
TIMING : CubeStats BEGIN [0. 0.]
TIMING : CubeStats imval  [8.80950000e-02 9.65430737e-02 2.33003125e+03 2.80000000e+02]
TIMING : CubeStats start  [1.46990000e-02 1.53567791e-02 2.33003125e+03 2.80000000e+02]
TIMING : CubeStats imstat0  [7148.544797    801.70243025 2842.03125     281.1953125 ]
TIMING : CubeStats imstat1  [1696.752738  1722.7353313 4149.609375  1588.7734375]
INFO : CubeStats_AT.py : sigma varies from 0.000916 to 0.001632; 1917/1917 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp  [1353.339508   1440.15400743 4383.703125   1823.3203125 ]
INFO : CubeStats_AT.py : CubeMax: 0.008457 @ [ 484  631 1742    0]
INFO : CubeStats_AT.py : CubeMin: -0.008282 @ [2096 2416 1738    0]
INFO : CubeStats_AT.py : CubeRMS: 0.001083
INFO : CubeStats_AT.py : RMS Sanity check 1.020902
REGRESSION : CST: 0.001083 1.020902
INFO : CubeStats_AT.py : mean,rms,S/N=0.000000 0.001083 7.808449
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 33.369384 42.668771
TIMING : CubeStats plotting  [3.63987200e+00 1.06640980e+01 4.40621094e+03 1.83608984e+03]
TIMING : CubeStats done  [1.28300000e-02 1.28602982e-02 4.40621094e+03 1.83608984e+03]
TIMING : CubeStats summary  [1.14800000e-02 1.15635395e-02 4.40621094e+03 1.83608984e+03]
TIMING : CubeStats END [10202.415457    3975.40366125]
INFO : AT.py : BDP_OUT[0] = CubeStats_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.cst
INFO : 
INFO : 
INFO :    Executing CubeSum_AT - '' (V1.2.2)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     numsigma :  4.0
INFO :     sigma :  99.0
INFO :     linesum :  True
INFO :     pad :  5
INFO :     zoom :  1
INFO : 
TIMING : CubeSum ADMIT [1.43684582e+04 1.74525367e+09]
TIMING : CubeSum BEGIN [0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.001083
TIMING : CubeSum start  [5.24130000e-02 9.55464840e-02 3.96150000e+03 1.39212109e+03]
TIMING : CubeSum immoments  [ 240.470287    243.77982759 3961.5        1392.48046875]
TIMING : CubeSum statistics  [4.38472000e-01 9.50675011e-02 3.96150000e+03 1.39248047e+03]
INFO : CubeSum_AT.py : Total flux: 1.310012 (sum=14.946208)
REGRESSION : CSM: [1.3100116358166072, 14.946208094644854]
TIMING : CubeSum implot  [2.38545000e-01 1.40757461e+01 4.24951562e+03 1.39639062e+03]
TIMING : CubeSum getdata  [8.81359000e-01 8.85319948e-01 4.24951562e+03 1.39641797e+03]
TIMING : CubeSum done  [4.31483000e-01 4.60556030e-01 4.24951562e+03 1.39674609e+03]
TIMING : CubeSum END [242.528152 259.407727]
INFO : AT.py : BDP_OUT[0] = Moment_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.csm
INFO : 
INFO : 
INFO :    Executing SFind2D_AT - 'csm' (V1.2.2)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     numsigma :  4.0
INFO :     sigma :  -1.0
INFO :     region :  
INFO :     robust :  ['hin', 1.5]
INFO :     snmax :  35.0
INFO :     nmax :  30
INFO :     zoom :  1
INFO : 
TIMING : SFind2D ADMIT [1.46110492e+04 1.74525393e+09]
TIMING : SFind2D BEGIN [0. 0.]
TIMING : SFind2D start  [3.10310000e-01 3.14244270e-01 4.24951562e+03 1.39674609e+03]
TIMING : SFind2D imstat  [3.84283800e+00 7.68935919e-01 4.24951562e+03 1.45162891e+03]
INFO : AT.py : Setting 'sigma' = 0.006727594325977787 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.00672759 -0.0433633 0.0413273 35 0.651152
WARNING : SFind2D_AT.py : Temporarely patching your Jy/beam.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources  [7.48298000e-01 7.63623714e-01 4.24976562e+03 1.45319141e+03]
INFO : SFind2D_AT.py : Right Ascen.  Declination   X(pix)   Y(pix)      Peak       Flux    Major   Minor    PA    SNR
INFO : SFind2D_AT.py :                                                Jy/beam.km/s       Jy    arcsec   arcsec   deg
INFO : SFind2D_AT.py : 16:37:39.253 -38.20.10.01  2855.88  2744.15     0.0188     0.0121   0.016   0.010  111.5    2.8
INFO : SFind2D_AT.py : 16:37:39.365 -38.20.22.16  2647.11   815.73     0.0181     0.0112   0.015   0.009   41.0    2.7
INFO : SFind2D_AT.py : 16:37:40.083 -38.20.25.09  1305.33   349.71          0     0.0253   0.031   0.028  158.8    0.0
INFO : SFind2D_AT.py : 16:37:40.631 -38.20.16.09   281.73  1779.09     0.0184    0.00945   0.013   0.009  141.5    2.7
INFO : SFind2D_AT.py : 16:37:39.965 -38.20.08.79  1526.79  2937.04     0.0188     0.0243   0.000   0.000    0.0    2.8
INFO : SFind2D_AT.py : 16:37:39.639 -38.20.12.63  2135.12  2327.86    0.00587     0.0161   0.038   0.009   78.9    0.9
INFO : SFind2D_AT.py : 16:37:39.198 -38.20.20.51  2958.13  1076.87     0.0122     0.0531   0.031   0.031    0.0    1.8
INFO : SFind2D_AT.py : 16:37:39.481 -38.20.26.18  2429.69   176.44    0.00596    0.00827   0.020   0.007   39.9    0.9
INFO : SFind2D_AT.py : 16:37:40.055 -38.20.07.96  1358.82  3068.83      0.012    0.00655   0.013   0.008  134.0    1.8
INFO : SFind2D_AT.py : 16:37:40.306 -38.20.12.14   890.08  2405.81     0.0116     0.0516   0.032   0.031  180.0    1.7
INFO : SFind2D_AT.py : 16:37:40.268 -38.20.23.98   959.70   526.80          0     0.0167   0.038   0.015   24.2    0.0
WARNING : SFind2D_AT.py : Problem with source 11 @ -4750,7187
INFO : SFind2D_AT.py : 16:37:40.716 -38.20.13.19   123.90  2239.10    0.00647    0.00655   0.015   0.008   46.8    1.0
WARNING : SFind2D_AT.py : Problem with source 13 @ 3560,2297
INFO : SFind2D_AT.py : 16:37:40.302 -38.20.12.74   895.98  2310.78    0.00629    0.00643   0.014   0.008  148.6    0.9
INFO : SFind2D_AT.py : 16:37:39.381 -38.20.23.28  2616.53   638.08    0.00626     0.0238   0.054   0.013  133.7    0.9
INFO : SFind2D_AT.py : 16:37:39.832 -38.20.20.13  1775.19  1138.07     0.0195     0.0116   0.021   0.011  112.5    2.9
INFO : SFind2D_AT.py : 16:37:39.179 -38.20.08.28  2994.84  3018.21      0.019     0.0207   0.040   0.014   64.7    2.8
INFO : SFind2D_AT.py : 16:37:39.118 -38.20.20.65  3107.14  1054.76     0.0118    0.00717   0.012   0.010  114.4    1.7
INFO : SFind2D_AT.py : 16:37:40.684 -38.20.24.64   182.94   421.85   -0.00601    1.2e+05   3.159   0.475   27.0   -0.9
INFO : SFind2D_AT.py : 16:37:40.099 -38.20.10.37  1275.59  2686.58     0.0121     0.0188   0.000   0.000    0.0    1.8
INFO : SFind2D_AT.py : 16:37:39.796 -38.20.08.35  1841.34  3006.78          0      0.015   0.031   0.006  149.9    0.0
INFO : SFind2D_AT.py : 16:37:40.101 -38.20.15.78  1272.25  1827.30     0.0187       0.01   0.019   0.010  123.7    2.8
INFO : SFind2D_AT.py : 16:37:39.418 -38.20.14.17  2546.89  2084.01    0.00671     0.0224   0.044   0.012  178.6    1.0
INFO : SFind2D_AT.py : 16:37:40.132 -38.20.19.09  1213.99  1302.40     0.0061    0.00743   0.018   0.009   30.9    0.9
INFO : SFind2D_AT.py : 16:37:39.253 -38.20.21.06  2855.61   990.02     0.0185    0.00711   0.014   0.009  114.0    2.7
INFO : SFind2D_AT.py : 16:37:40.726 -38.20.21.42   105.39   933.23     0.0179    0.00614   0.014   0.009   95.7    2.7
INFO : SFind2D_AT.py : Wrote ds9.reg
TIMING : SFind2D table  [7.95762000e-01 8.03405523e-01 4.24976562e+03 1.45319141e+03]
REGRESSION : CONTFLUX: 27 1.08003e+14
INFO : SFind2D_AT.py :  Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py :  Restoring Beam: Major axis:     0.0202 arcsec , Minor axis:     0.0198 arcsec , PA: -57.0 deg
TIMING : SFind2D done  [8.65621000e-01 8.83442879e-01 4.25051562e+03 1.45411328e+03]
TIMING : SFind2D END [6.578336   3.55057645]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube-csm.sl
TIMING : ADMITrun END [14611.803808    7045.12192273]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 14611.8 7045.12 ]
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 :     pos :  []
INFO :     sources :  [0]
INFO :     xaxis :  
INFO : 
TIMING : CubeSpectrum ADMIT [1.46178818e+04 1.74525394e+09]
TIMING : CubeSpectrum BEGIN [0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[484, 631, 1742],0.008457
TIMING : CubeSpectrum CubeStats-pos  [4.54250000e-02 4.86247540e-02 4.25126562e+03 1.45285938e+03]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[2509, 152],0.041327
TIMING : CubeSpectrum Moment-pos  [6.52992000e-01 6.56119585e-01 4.25126562e+03 1.45285938e+03]
INFO : CubeSpectrum_AT.py : SourceList::maxpos,val=('16h37m39.253s', '-38d20m10.01s'),0.018768
TIMING : CubeSpectrum SourceList-pos  [3.31220000e-02 3.32136154e-02 4.25126562e+03 1.45285938e+03]
TIMING : CubeSpectrum open  [1.13770000e-02 1.14302635e-02 4.25126562e+03 1.45285938e+03]
TIMING : CubeSpectrum imval  [7.69270000e-02 1.46870375e-01 4.25126562e+03 1.45304688e+03]
TIMING : CubeSpectrum imhead  [4.27570000e-02 4.35330868e-02 4.25126562e+03 1.45304688e+03]
TIMING : CubeSpectrum imval  [4.01541000e-01 4.49077368e-01 4.25126562e+03 1.45306641e+03]
TIMING : CubeSpectrum imval  [5.91843000e-01 6.11899853e-01 4.25126562e+03 1.45310547e+03]
REGRESSION : CSP: [0.008457356132566929, 0.00496930256485939, 0.006014204118400812]
INFO : CubeSpectrum_AT.py : Writing 3 testCubeSpectrum tables
TIMING : CubeSpectrum done  [4.05786000e-01 4.54128027e-01 4.25126562e+03 1.45310547e+03]
TIMING : CubeSpectrum summary  [1.24160000e-02 1.24759674e-02 4.25126562e+03 1.45310547e+03]
TIMING : CubeSpectrum END [2.286562   2.47979879]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.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 :     maxgap :  3
INFO :     segment :  ADMIT
INFO :     smooth :  []
INFO :     recalcnoise :  False
INFO :     csub :  [0, 0]
INFO :     iterate :  True
INFO :     edgechannels :  0
INFO : 
TIMING : LineSegment ADMIT [1.46202281e+04 1.74525394e+09]
TIMING : LineSegment BEGIN [0. 0.]
TIMING : LineSegment start  [2.42050000e-02 3.33969593e-02 4.25101562e+03 1.45299609e+03]
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input Spectra
INFO : LineSegment_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineSegment getspectrum  [  12.695439     12.73862171 4251.015625   1453.0859375 ]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
TIMING : LineSegment segment finder  [3.38251400e+00 3.39057064e+00 4.25101562e+03 1.45326953e+03]
INFO : LineSegment_AT.py :  Segment Coverage 0 / 1917 = 0
REGRESSION : LINESEG: []
TIMING : LineSegment done  [   4.531517      4.69386864 4251.015625   1453.33203125]
TIMING : LineSegment END [20.646086   20.86890507]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.lseg
TIMING : ADMITrun END [14635.063658   7069.2139051]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 14635.1 7069.21 ]
INFO : AT.py : Setting {'width': 5} for PVSlice_AT
INFO : AT.py : Setting 'clip' = 2.0 for PVSlice_AT
INFO : AT.py : Setting 'pvsmooth' = [10, 10] for PVSlice_AT
INFO : Admit.py : ADMIT run() called [flowcount 1]
INFO : 
INFO : 
INFO :    Executing PVSlice_AT - '' (V1.2.3)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     slice :  []
INFO :     slit :  []
INFO :     width :  5
INFO :     clip :  2.0
INFO :     gamma :  1.0
INFO :     pvsmooth :  [10, 10]
INFO :     zoom :  1
INFO : 
TIMING : PVSlice ADMIT [1.46412013e+04 1.74525396e+09]
TIMING : PVSlice BEGIN [0. 0.]
TIMING : PVSlice slice  [2.04286200e+00 2.08758569e+00 4.25126562e+03 1.45359766e+03]
TIMING : PVSlice impv  [3961.279727   4018.71116686 4300.69921875 1446.17578125]
INFO : PVSlice_AT.py : imsmooth PV slice: 10pix 10pix
TIMING : PVSlice imsmooth  [3.54920070e+01 4.73747993e+00 7.34087109e+03 1.45991016e+03]
INFO : PVSlice_AT.py : PV stats: mean/std/max 0.000001 0.000734 0.002028
REGRESSION : PVSLICE: 0.000001 0.000734 0.002028
INFO : PVSlice_AT.py : MAP1 segm [[2601.0576028212345, 591.5536289083959, 6.0, 3193.0]] [2601.0576028212345, 6.0, 591.5536289083959, 3193.0]
TIMING : PVSlice plot  [2.11222900e+00 2.54865265e+00 7.34087109e+03 1.46174609e+03]
TIMING : PVSlice done  [2.18523000e-01 7.10787416e+00 7.34087109e+03 1.46181250e+03]
TIMING : PVSlice END [4001.159504   4035.20728064]
INFO : AT.py : BDP_OUT[0] = PVSlice_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.pv
INFO : 
INFO : 
INFO :    Executing PVCorr_AT - '' (V1.2.4)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     numsigma :  3.0
INFO :     range :  []
INFO :     nchan :  0
INFO : 
TIMING : PVCorr ADMIT [1.86424178e+04 1.74525800e+09]
TIMING : PVCorr BEGIN [0. 0.]
TIMING : PVCorr getdata  [8.96020000e-02 1.05782270e-01 7.34087109e+03 1.46181250e+03]
INFO : PVCorr_AT.py : MAXPOS-VEL [2854 1740    0] 0.00539578
TIMING : PVCorr imstat  [9.81334000e-01 4.61057901e-01 7.34087109e+03 1.53436719e+03]
INFO : PVCorr_AT.py : PVCorr mode1: v0,1= 1738 1738  dmin= 0.00324931  normalize=True 
INFO : PVCorr_AT.py : PVCorr mode1: 45/41458  min/max  -0.00461061 1   sums: 45 -0.761154 45 0.160999
INFO : PVCorr_AT.py : PVCorr min/max: -0.135386 1
INFO : PVCorr_AT.py : PVCorr stats 1929 0.00161359 0.0423229  1310 0.00114371 0.0177701
INFO : PVCorr_AT.py : RMS est: 0.0177701
TIMING : PVCorr mode  [4.79537000e-01 4.80456829e-01 7.34087109e+03 1.53444141e+03]
TIMING : PVCorr table  [1.21450000e-02 1.21617317e-02 7.34087109e+03 1.53444141e+03]
INFO : PVCorr_AT.py : Average: 7 7 7 1917
INFO : PVCorr_AT.py : Average intensity weighted channel: 1497.18 231.057 0.1 1
REGRESSION : PVC: -0.135386 1.000000
TIMING : PVCorr done  [3.33882000e-01 3.50257635e-01 7.34087109e+03 1.53444141e+03]
TIMING : PVCorr END [1.911044   1.42432857]
INFO : AT.py : BDP_OUT[0] = PVCorr_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.pvc
TIMING : ADMITrun END [18638.607578   11107.60718179]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18638.6 11107.6 ]
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 :     vlsr :  -999999.99
INFO :     numsigma :  5.0
INFO :     minchan :  4
INFO :     maxgap :  3
INFO :     identifylines :  True
INFO :     allowexotics :  False
INFO :     recomblevel :  shallow
INFO :     segment :  ADMIT
INFO :     online :  False
INFO :     smooth :  []
INFO :     recalcnoise :  False
INFO :     method :  {'PeakFinder': {'thresh': 0.0}}
INFO :     pattern :  AUTO
INFO :     mode :  ONE
INFO :     tier1width :  0.0
INFO :     csub :  [0, 0]
INFO :     references :  etc/tier1_lines.list
INFO :     iterate :  True
INFO :     force :  []
INFO :     reject :  []
INFO :     edgechannels :  0
INFO : 
TIMING : LineID ADMIT [1.86447325e+04 1.74525800e+09]
TIMING : LineID BEGIN [0. 0.]
INFO : LineID_AT.py : Set vlsr = 43.00 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 43
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs  [   7.67648       7.82996392 7316.859375   1535.46484375]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats  [4.76896300e+00 4.78026533e+00 7.31685938e+03 1.53546484e+03]
TIMING : LineID segment finder  [1.57330000e-02 1.57747269e-02 7.31685938e+03 1.53546484e+03]
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
WARNING : LineID_AT.py : No lines detected by LineID.
TIMING : LineID nolines  [  44.877258     60.12938786 7338.359375   1557.06640625]
TIMING : LineID END [57.354996   72.78135848]
INFO : AT.py : BDP_OUT[0] = LineList_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.ll
TIMING : ADMITrun END [18696.556883   11181.51402402]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18696.6 11181.5 ]
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 [1.87026207e+04 1.74525807e+09]
TIMING : LineCube BEGIN [0. 0.]
INFO : LineCube_AT.py : No lines found in input LineList_BDP, exiting.
TIMING : ADMITrun END [18696.766241   11182.07629943]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 18696.8 11182.1 ]
INFO : AT.py : Setting 'moments' = [0, 1, 2] 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 - '' (V1.2.2)
INFO : 
INFO : 
INFO :   Run using the following settings:
INFO :     moments :  [0, 1, 2]
INFO :     numsigma :  [2.0]
INFO :     sigma :  -1.0
INFO :     chans :  
INFO :     mom0clip :  2.0
INFO :     zoom :  1
INFO : 
TIMING : Moment ADMIT [1.87029008e+04 1.74525807e+09]
TIMING : Moment BEGIN [0. 0.]
TIMING : Moment open  [5.05090000e-02 5.15615940e-02 7.33385938e+03 1.55256641e+03]
TIMING : Moment immoments-all  [ 317.247066    775.00855637 7333.859375   1555.56640625]
TIMING : Moment mom0clip  [2.03866500e+00 1.27034354e+00 7.35787109e+03 1.62159766e+03]
TIMING : Moment implot  [1.68795300e+00 4.90888429e+00 7.35787109e+03 1.62192188e+03]
TIMING : Moment getdata  [3.63362000e-01 3.65091562e-01 7.35787109e+03 1.62192188e+03]
TIMING : Moment ren+mask_0  [4.81733000e-01 5.37071228e-01 7.35787109e+03 1.62236328e+03]
TIMING : Moment makemask  [2.56550500e+00 3.88887334e+00 7.35787109e+03 1.62341797e+03]
TIMING : Moment implot  [1.73576000e-01 3.74973702e+00 7.35787109e+03 1.62348438e+03]
TIMING : Moment getdata  [4.07824000e-01 4.10464287e-01 7.35787109e+03 1.62348438e+03]
TIMING : Moment ren+mask_1  [3.62288000e-01 4.06449556e-01 7.35787109e+03 1.62348438e+03]
TIMING : Moment makemask  [2.48525500e+00 3.04315758e+00 7.35787109e+03 1.62348438e+03]
TIMING : Moment implot  [1.75625000e-01 3.69537067e+00 7.35787109e+03 1.62348438e+03]
TIMING : Moment getdata  [3.22704000e-01 3.25127125e-01 7.35787109e+03 1.62348438e+03]
TIMING : Moment ren+mask_2  [3.55764000e-01 3.72601271e-01 7.35787109e+03 1.62348438e+03]
REGRESSION : MOM0FLUX: SPW_FULL 253.896 19722.8 11.4092 324.122 324.122 298.315
TIMING : Moment mom0flux  [9.72504000e-01 9.74209070e-01 7.35787109e+03 1.62348438e+03]
TIMING : Moment flux-spectrum  [1667.182145   1711.31233597 7357.87109375 1623.54296875]
TIMING : Moment done  [3.07660000e-02 6.48281574e-02 7.35787109e+03 1.62354297e+03]
TIMING : Moment END [1996.918741   2510.40028763]
INFO : AT.py : BDP_OUT[0] = Moment_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP member.uid___A001_X2d20_X3e06.IRAS_16342-3814_sci.spw29.cube.mom_2