INFO : AT.py : Setting {'basename': 'x', 'file': 'L1157-B1_84475.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 : L1157-B1_84475.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 [ 2.13595300e+00 1.64394224e+09]
TIMING : Ingest BEGIN [ 0. 0.]
INFO : Ingest_AT.py : OBJECT: L1157-B1 SHAPE: [ 57 57 573]
INFO : Ingest_AT.py : basename=x
INFO : utils.py : OSTYPE: linux
TIMING : Ingest start [ 1.64405000e-01 1.70804977e-01 1.41021484e+03 2.16835938e+02]
TIMING : Ingest importfits [ 1.05793000e-01 1.58424854e-01 1.41073438e+03 2.18714844e+02]
WARNING : Ingest_AT.py : Adding dummy STOKES-I axis
TIMING : Ingest adddegaxes [ 5.43940000e-02 7.53161907e-02 1.41231250e+03 2.20816406e+02]
TIMING : Ingest summary-0 [ 1.37920000e-02 1.38449669e-02 1.41231250e+03 2.20816406e+02]
TIMING : Ingest mask [ 2.57600000e-02 3.49409580e-02 1.41257422e+03 2.21562500e+02]
TIMING : Ingest summary-1 [ 1.32740000e-02 1.69439316e-02 1.41257422e+03 2.21562500e+02]
TIMING : Ingest statistics [ 3.93260000e-02 3.94239426e-02 1.41231250e+03 2.22140625e+02]
INFO : Ingest_AT.py : COMMONBEAM[3] {'major': {'value': 14.950000800000002, 'unit': 'arcsec'}, 'pa': {'value': 0.0, 'unit': 'deg'}, 'minor': {'value': 14.950000800000002, 'unit': 'arcsec'}}
INFO : Ingest_AT.py : BASICS: [shape] npts min max: [ 57 57 573 1] 1015929 -0.124287 0.214598
INFO : Ingest_AT.py : S/N (all data): 9.715972
INFO : Ingest_AT.py : GOOD PIXELS: 1015929/1861677 (54.570637% good or 45.429363% bad)
WARNING : Ingest_AT.py : MASKS: ['mask0']
REGRESSION : CUBE: -0.124287 0.214598 0.0220872 57 57 573 45.429363
INFO : Ingest_AT.py : TELESCOPE: LMT
INFO : Ingest_AT.py : OBJECT: L1157-B1
INFO : Ingest_AT.py : REFFREQTYPE: LSRK
INFO : Ingest_AT.py : RA Axis 1: 309.792500 -6.500002 28.000000
INFO : Ingest_AT.py : DEC Axis 2: 68.019580 6.500002 28.000000
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: 96.0661 -0.000390625 0
INFO : Ingest_AT.py : Cube Orig Axis 3: type=Frequency velocity increment=1.220431 km/s @ fc=95.954363 fw=-0.223828 GHz
INFO : Ingest_AT.py : RESTFREQ: 95.955 95.955 -1
INFO : Ingest_AT.py : VLSRc= 1.989866 VLSRf= 0.000000 VLSRv= 0.000000 VLSRz= 0.000000 WIDTH= 699.306963
INFO : Ingest_AT.py : VLSR = 1.989866 errs = 0.000000 0.000000 0.000000 width = 1.220431
TIMING : Ingest done [ 5.56078000e-01 5.61200142e-01 1.41469141e+03 2.24746094e+02]
TIMING : Ingest END [ 0.984836 1.08294201]
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 [ 3.18129800e+00 1.64394224e+09]
TIMING : CubeStats BEGIN [ 0. 0.]
TIMING : CubeStats imval [ 5.14960000e-02 5.16960621e-02 1.41444141e+03 2.24625000e+02]
TIMING : CubeStats start [ 1.25210000e-02 1.25608444e-02 1.41444141e+03 2.24625000e+02]
TIMING : CubeStats imstat0 [ 1.04678000e-01 1.05020046e-01 1.41391797e+03 2.24816406e+02]
TIMING : CubeStats imstat1 [ 1.16149000e-01 1.16500139e-01 1.43257031e+03 2.43171875e+02]
INFO : CubeStats_AT.py : sigma varies from 0.019792 to 0.024421; 573/573 channels ok
INFO : CubeStats_AT.py : Computing MaxPos for PeakPointPlot
TIMING : CubeStats ppp [ 6.32318000e-01 6.34382010e-01 1.43257031e+03 2.43484375e+02]
INFO : CubeStats_AT.py : CubeMax: 0.214598 @ [ 29 32 388 0]
INFO : CubeStats_AT.py : CubeMin: -0.124287 @ [ 20 9 566 0]
INFO : CubeStats_AT.py : CubeRMS: 0.021931
INFO : CubeStats_AT.py : RMS Sanity check 1.007124
REGRESSION : CST: 0.021931 1.007124
INFO : CubeStats_AT.py : mean,rms,S/N=0.000006 0.021931 9.785185
INFO : CubeStats_AT.py : RMS BAD VARIATION RATIO: 1.033374 1.001671
TIMING : CubeStats plotting [ 2.310068 2.48363686 1436.6484375 245.84765625]
TIMING : CubeStats done [ 1.36280000e-02 1.36580467e-02 1.43664844e+03 2.45847656e+02]
TIMING : CubeStats summary [ 1.22370000e-02 1.22759342e-02 1.43664844e+03 2.45847656e+02]
TIMING : CubeStats END [ 3.265314 3.44198489]
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 [ 6.50694000e+00 1.64394225e+09]
TIMING : CubeSum BEGIN [ 0. 0.]
INFO : CubeSum_AT.py : Using constant sigma = 0.021931
TIMING : CubeSum start [ 5.22630000e-02 5.23879528e-02 1.43664844e+03 2.45847656e+02]
TIMING : CubeSum immoments [ 5.80220000e-02 1.07713938e-01 1.44354688e+03 2.53179688e+02]
TIMING : CubeSum statistics [ 1.98580000e-02 1.99320316e-02 1.44354688e+03 2.53179688e+02]
INFO : CubeSum_AT.py : Total flux: 825.700986 (sum=19.543209)
REGRESSION : CSM: [825.70098585959374, 19.543208978953771]
TIMING : CubeSum implot [ 1.41914000e-01 5.82104993e+00 1.52315234e+03 2.60812500e+02]
TIMING : CubeSum getdata [ 2.05410000e-02 2.05950737e-02 1.52315234e+03 2.60812500e+02]
TIMING : CubeSum done [ 2.36851000e-01 2.58347988e-01 1.50844922e+03 2.46363281e+02]
TIMING : CubeSum END [ 0.542825 6.29343891]
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 [ 7.11010000e+00 1.64394225e+09]
TIMING : SFind2D BEGIN [ 0. 0.]
TIMING : SFind2D start [ 3.34540000e-02 3.35400105e-02 1.50844922e+03 2.46363281e+02]
TIMING : SFind2D imstat [ 4.03830000e-02 4.06060219e-02 1.50844922e+03 2.46363281e+02]
INFO : AT.py : Setting 'sigma' = 0.254013227536 for SFind2D_AT
INFO : SFind2D_AT.py : sigma, dmin, dmax, snmax, cutoff 0.254013 -0.234076 1.01589 35 1.00016
WARNING : SFind2D_AT.py : Temporarely patching your K.km/s units to Jy/beam for ia.findsources()
TIMING : SFind2D findsources [ 9.00490000e-02 9.79678631e-02 1.50844922e+03 2.46363281e+02]
REGRESSION : CONTFLUX: 0 0
INFO : SFind2D_AT.py : Fitted Gaussian size; NOT deconvolved source size.
INFO : SFind2D_AT.py : Restoring Beam: Major axis: 15 arcsec , Minor axis: 15 arcsec , PA: 0.0 deg
TIMING : SFind2D done [ 2.76598000e-01 2.99215078e-01 1.50933203e+03 2.47644531e+02]
TIMING : SFind2D END [ 0.454317 0.48520708]
INFO : AT.py : BDP_OUT[0] = SourceList_BDP x-csm.sl
TIMING : ADMITrun END [ 5.822579 11.93966603]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 5.82258 11.9397 ]
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 [ 7.77134200e+00 1.64394226e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeStats::maxpos,val=[29, 32, 388],0.214598
TIMING : CubeSpectrum CubeStats-pos [ 4.84890000e-02 4.85870838e-02 1.50933203e+03 2.47644531e+02]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[29, 28],1.015891
TIMING : CubeSpectrum Moment-pos [ 4.17970000e-02 4.19058800e-02 1.50933203e+03 2.47644531e+02]
TIMING : CubeSpectrum open [ 1.22350000e-02 1.22680664e-02 1.50933203e+03 2.47644531e+02]
TIMING : CubeSpectrum imval [ 4.31380000e-02 4.33199406e-02 1.50933203e+03 2.48300781e+02]
TIMING : CubeSpectrum imhead [ 4.16890000e-02 4.18279171e-02 1.50933203e+03 2.48300781e+02]
TIMING : CubeSpectrum imval [ 2.48786000e-01 2.67582178e-01 1.50958984e+03 2.48695312e+02]
REGRESSION : CSP: [0.19159087538719177, 0.21459846198558807]
INFO : CubeSpectrum_AT.py : Writing 2 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.81687000e-01 3.00434828e-01 1.50978906e+03 2.48894531e+02]
TIMING : CubeSpectrum summary [ 1.24090000e-02 1.24351978e-02 1.50978906e+03 2.48894531e+02]
TIMING : CubeSpectrum END [ 0.742493 0.780653]
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 [ 8.57437900e+00 1.64394226e+09]
TIMING : LineSegment BEGIN [ 0. 0.]
TIMING : LineSegment start [ 2.44880000e-02 2.45521069e-02 1.50978906e+03 2.48894531e+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 [ 12.579461 12.604496 1509.7890625 249.3828125]
INFO : LineSegment_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [387, 390]
WARNING : specutil.py : 0 [388, 390]
INFO : LineSegment_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [387, 391]
TIMING : LineSegment segment finder [ 2.911729 2.91754699 1509.7890625 249.3828125 ]
INFO : LineSegment_AT.py : Segment Coverage 4 / 573 = 0.0069808
REGRESSION : LINESEG: [[95.913347466047469, 95.914909966417056], [95.913738091139862, 95.914909966417056], [95.913738091139862, 95.914519341324663]]
TIMING : LineSegment done [ 1.913532 2.01955581 1556.6328125 296.10546875]
TIMING : LineSegment END [ 17.441577 17.57855296]
INFO : AT.py : BDP_OUT[0] = LineSegment_BDP x.lseg
TIMING : ADMITrun END [ 24.272834 30.61632609]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.2728 30.6163 ]
INFO : Admit.py : ADMIT run() called [flowcount 1]
TIMING : ADMITrun END [ 24.370407 30.78822112]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 24.3704 30.7882 ]
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 [ 2.63448780e+01 1.64394227e+09]
TIMING : LineID BEGIN [ 0. 0.]
INFO : LineID_AT.py : Set vlsr = 1.99 for line identification.
INFO : LineID_AT.py : Identifylines = True
INFO : LineID_AT.py : Using vlsr = 1.98987
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input Spectra
TIMING : LineID getspectrum-cubespecs [ 5.503922 5.51533794 1556.6328125 296.10546875]
INFO : LineID_AT.py : Attempting Continuum Subtraction for Input CubeStats Spectra
TIMING : LineID getspectrum-cubestats [ 7.202596 7.22434211 1556.6328125 296.10546875]
TIMING : LineID segment finder [ 1.38370000e-02 1.38878822e-02 1.55663281e+03 2.96105469e+02]
INFO : LineID_AT.py : Detecting segments in CubeSpectrum based data
WARNING : specutil.py : 0 [387, 390]
WARNING : specutil.py : 0 [388, 390]
INFO : LineID_AT.py : Detecting segments in CubeStats based data
WARNING : specutil.py : 0 [387, 391]
INFO : LineID_AT.py : Searching for spectral peaks with method: PeakFinder
INFO : LineID_AT.py : Found line: U_95.9152 @ 95.9151559761GHz, channels 387 - 391
REGRESSION : LINEID: U_95.9152 95.91516 387 391
INFO : LineID_AT.py : Line Coverage 5 / 573 = 0.008726
TIMING : LineID done [ 13.543221 13.72340393 1655.83203125 396.390625 ]
TIMING : LineID END [ 26.278111 26.49153805]
INFO : AT.py : BDP_OUT[0] = LineList_BDP x.ll
TIMING : ADMITrun END [ 50.948896 57.65897608]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 50.9489 57.659 ]
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 [ 5.28776070e+01 1.64394230e+09]
TIMING : LineCube BEGIN [ 0. 0.]
TIMING : LineCube start [ 6.23680000e-02 6.26149178e-02 1.62059766e+03 3.61335938e+02]
TIMING : LineCube pad [ 1.46040000e-02 1.46410465e-02 1.62059766e+03 3.61335938e+02]
TIMING : LineCube trans-x.U_95.9152 [ 7.16120000e-02 2.02667952e-01 1.62059766e+03 3.61457031e+02]
REGRESSION : LC: [382, 396]
TIMING : LineCube done [ 2.50950000e-02 2.51519680e-02 1.62059766e+03 3.61457031e+02]
TIMING : LineCube END [ 0.186027 0.31745386]
INFO : AT.py : BDP_OUT[0] = LineCube_BDP x.U_95.9152/lc.im
TIMING : ADMITrun END [ 51.307187 58.22749901]
INFO : Admit.py : ADMIT run() finished [flowcount 1] [cpu 51.3072 58.2275 ]
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 [ 5.33308530e+01 1.64394230e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.94430000e-02 5.01570702e-02 1.62059766e+03 3.61457031e+02]
TIMING : Moment immoments-0 [ 6.33490000e-02 1.34521008e-01 1.62059766e+03 3.61457031e+02]
TIMING : Moment mom0clip [ 6.86320000e-02 1.17208004e-01 1.62059766e+03 3.61550781e+02]
TIMING : Moment implot [ 9.46530000e-02 3.40736866e-01 1.62109375e+03 3.62109375e+02]
TIMING : Moment getdata [ 2.06200000e-02 2.15661526e-02 1.62109375e+03 3.62109375e+02]
TIMING : Moment ren+mask_0 [ 3.51714000e-01 3.57885838e-01 1.62683984e+03 3.67855469e+02]
TIMING : Moment done [ 1.51170000e-02 1.51541233e-02 1.62683984e+03 3.67855469e+02]
TIMING : Moment END [ 0.675866 1.04962206]
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 [ 5.40746600e+01 1.64394230e+09]
TIMING : Moment BEGIN [ 0. 0.]
TIMING : Moment open [ 4.92820000e-02 4.93969917e-02 1.62683984e+03 3.67855469e+02]
TIMING : Moment immoments-all [ 6.81120000e-02 2.97070026e-01 1.62683984e+03 3.67855469e+02]
TIMING : Moment mom0clip [ 6.71510000e-02 1.23840809e-01 1.62683984e+03 3.67855469e+02]
TIMING : Moment implot [ 9.68810000e-02 3.56188059e-01 1.62683984e+03 3.67855469e+02]
TIMING : Moment getdata [ 2.04820000e-02 2.05481052e-02 1.62683984e+03 3.67855469e+02]
TIMING : Moment ren+mask_0 [ 2.82084000e-01 2.87521839e-01 1.62633984e+03 3.67355469e+02]
TIMING : Moment makemask [ 1.48155000e-01 4.70966101e-01 1.62633984e+03 3.67476562e+02]
TIMING : Moment implot [ 7.68120000e-02 3.08845043e-01 1.62633984e+03 3.68250000e+02]
TIMING : Moment getdata [ 2.02070000e-02 2.02748775e-02 1.62633984e+03 3.68250000e+02]
TIMING : Moment ren+mask_1 [ 2.59806000e-01 2.64937162e-01 1.62633984e+03 3.68250000e+02]
TIMING : Moment makemask [ 1.49086000e-01 3.54847908e-01 1.62633984e+03 3.68250000e+02]
TIMING : Moment implot [ 7.71140000e-02 2.98989058e-01 1.62633984e+03 3.68250000e+02]
TIMING : Moment getdata [ 2.01400000e-02 2.02090740e-02 1.62633984e+03 3.68250000e+02]
TIMING : Moment ren+mask_2 [ 2.62357000e-01 2.67241001e-01 1.62633984e+03 3.68250000e+02]
REGRESSION : MOM0FLUX: x.U_95.9152 32.773 23.0985 0.0236686 3.3605 3.3605 1.18793
TIMING : Moment mom0flux [ 5.11700000e-02 5.13448715e-02 1.62633984e+03 3.68250000e+02]
TIMING : Moment flux-spectrum [ 2.57916000e-01 2.62123108e-01 1.62633984e+03 3.68250000e+02]
TIMING : Moment done [ 1.48930000e-02 1.49259567e-02 1.62633984e+03 3.68250000e+02]
TIMING : Moment END [ 1.933948 3.48161888]
INFO : AT.py : BDP_OUT[0] = Moment_BDP x.U_95.9152/lc.mom_0
INFO : AT.py : BDP_OUT[1] = Moment_BDP x.U_95.9152/lc.mom_1
INFO : AT.py : BDP_OUT[2] = Moment_BDP x.U_95.9152/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 [ 5.61172060e+01 1.64394231e+09]
TIMING : CubeSpectrum BEGIN [ 0. 0.]
INFO : CubeSpectrum_AT.py : CubeSum::maxpos,val=[29, 29],0.966338
TIMING : CubeSpectrum Moment-pos [ 5.37870000e-02 5.39109707e-02 1.62633984e+03 3.68250000e+02]
TIMING : CubeSpectrum open [ 1.22850000e-02 1.23169422e-02 1.62633984e+03 3.68250000e+02]
TIMING : CubeSpectrum imval [ 3.56810000e-02 3.58281136e-02 1.62633984e+03 3.68250000e+02]
TIMING : CubeSpectrum imhead [ 4.17830000e-02 4.19168472e-02 1.62633984e+03 3.68250000e+02]
REGRESSION : CSP: [0.16197723150253296]
INFO : CubeSpectrum_AT.py : Writing 1 testCubeSpectrum tables
TIMING : CubeSpectrum done [ 2.59898000e-01 2.64444113e-01 1.62633984e+03 3.68250000e+02]
TIMING : CubeSpectrum summary [ 1.26500000e-02 1.26979351e-02 1.62633984e+03 3.68250000e+02]
TIMING : CubeSpectrum END [ 0.428498 0.43357086]
INFO : AT.py : BDP_OUT[0] = CubeSpectrum_BDP x.U_95.9152/lc-@1.csp