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Restore situation previous to RecoVertex/PrimaryVertexProducer config…
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77 changes: 77 additions & 0 deletions
77
RecoVertex/PrimaryVertexProducer/python/TkClusParameters_cff.py
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Original file line number | Diff line number | Diff line change |
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import FWCore.ParameterSet.Config as cms | ||
|
||
DA_vectParameters = cms.PSet( | ||
algorithm = cms.string("DA_vect"), | ||
TkDAClusParameters = cms.PSet( | ||
coolingFactor = cms.double(0.6), # moderate annealing speed | ||
zrange = cms.double(4.), # consider only clusters within 4 sigma*sqrt(T) of a track | ||
delta_highT = cms.double(1.e-2), # convergence requirement at high T | ||
delta_lowT = cms.double(1.e-3), # convergence requirement at low T | ||
convergence_mode = cms.int32(0), # 0 = two steps, 1 = dynamic with sqrt(T) | ||
Tmin = cms.double(2.0), # end of vertex splitting | ||
Tpurge = cms.double(2.0), # cleaning | ||
Tstop = cms.double(0.5), # end of annealing | ||
vertexSize = cms.double(0.006), # added in quadrature to track-z resolutions | ||
d0CutOff = cms.double(3.), # downweight high IP tracks | ||
dzCutOff = cms.double(3.), # outlier rejection after freeze-out (T<Tmin) | ||
zmerge = cms.double(1e-2), # merge intermediat clusters separated by less than zmerge | ||
uniquetrkweight = cms.double(0.8),# require at least two tracks with this weight at T=Tpurge | ||
uniquetrkminp = cms.double(0.0), # minimal a priori track weight for counting unique tracks | ||
runInBlocks = cms.bool(False), # activate the DA running in blocks of z sorted tracks | ||
block_size = cms.uint32(10000), # block size in tracks | ||
overlap_frac = cms.double(0.0) # overlap between consecutive blocks (blocks_size*overlap_frac) | ||
) | ||
) | ||
|
||
from Configuration.ProcessModifiers.vertexInBlocks_cff import vertexInBlocks | ||
vertexInBlocks.toModify(DA_vectParameters, | ||
TkDAClusParameters = dict( | ||
runInBlocks = True, | ||
block_size = 128, | ||
overlap_frac = 0.5 | ||
) | ||
) | ||
|
||
from Configuration.Eras.Modifier_phase2_tracker_cff import phase2_tracker | ||
(phase2_tracker & vertexInBlocks).toModify(DA_vectParameters, | ||
TkDAClusParameters = dict( | ||
block_size = 512, | ||
overlap_frac = 0.5)) | ||
|
||
from Configuration.Eras.Modifier_highBetaStar_2018_cff import highBetaStar_2018 | ||
highBetaStar_2018.toModify(DA_vectParameters, | ||
TkDAClusParameters = dict( | ||
Tmin = 4.0, | ||
Tpurge = 1.0, | ||
Tstop = 1.0, | ||
vertexSize = 0.01, | ||
d0CutOff = 4., | ||
dzCutOff = 5., | ||
zmerge = 2.e-2, | ||
uniquetrkweight = 0.9 | ||
) | ||
) | ||
|
||
DA2D_vectParameters = cms.PSet( | ||
algorithm = cms.string("DA2D_vect"), | ||
TkDAClusParameters = cms.PSet( | ||
coolingFactor = cms.double(0.6), # moderate annealing speed | ||
zrange = cms.double(4.), # consider only clusters within 4 sigma*sqrt(T) of a track | ||
delta_highT = cms.double(1.e-2), # convergence requirement at high T | ||
delta_lowT = cms.double(1.e-3), # convergence requirement at low T | ||
convergence_mode = cms.int32(0), # 0 = two steps, 1 = dynamic with sqrt(T) | ||
Tmin = cms.double(4.0), # end of vertex splitting | ||
Tpurge = cms.double(4.0), # cleaning | ||
Tstop = cms.double(2.0), # end of annealing | ||
vertexSize = cms.double(0.006), # added in quadrature to track-z resolutions | ||
vertexSizeTime = cms.double(0.008), | ||
d0CutOff = cms.double(3.), # downweight high IP tracks | ||
dzCutOff = cms.double(3.), # outlier rejection after freeze-out (T<Tmin) | ||
dtCutOff = cms.double(4.), # outlier rejection after freeze-out (T<Tmin) | ||
t0Max = cms.double(1.0), # outlier rejection for use of timing information | ||
zmerge = cms.double(1e-2), # merge intermediat clusters separated by less than zmerge and tmerge | ||
tmerge = cms.double(1e-1), # merge intermediat clusters separated by less than zmerge and tmerge | ||
uniquetrkweight = cms.double(0.8),# require at least two tracks with this weight at T=Tpurge | ||
uniquetrkminp = cms.double(0.0) # minimal a priori track weight for counting unique tracks | ||
) | ||
) |
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