Physics opportunities of heavy flavor in small systems

Possible decay channels

Open charm

  • D0 Arrow right K- + Pi+
  • D+ Arrow right K0s + Pi+
  • D+ Arrow right K- + Pi+ + Pi+
  • D_s Arrow right K0s + K+
  • D_s Arrow right Phi + Pi+
  • Lambda_c Arrow right Lambda + Pi+
  • Lambda_c Arrow right K0s + Proton+
  • Lambda_c Arrow right Pi+ + K- + Proton

Hidden charm

  • J/Psi Arrow right mu+ + mu-

Open beauty

  • B0 Arrow right D- + Pi+
  • B0 Arrow right J/Psi + K+ + Pi-
  • B+ Arrow right D0 + Pi+
  • B+ Arrow right J/Psi + K+
  • B_s Arrow right Ds + Pi+
  • B_s Arrow right J/Psi + Phi
  • Lambda_b Arrow right Lambda_c + Pi-

Hidden bottom

  • Upsilon Arrow right mu+ + mu-

Publications

Analysis Working Page CADI Contact Status arXiv
HIN-17-003: prompt D meson v_n in pPb HIN-17-003   Aobo Zhang, Zhenyu Chen ( worksheet)
SUBMITTED
1804.09767
HIN-18-010: J/Psi v2 in pPb HIN-18-010   Wei Li, Zhenyu Chen ( worksheet)
CWR
 
HIN-18-XXX: Lambda_c in MB pPb HIN-17-XXX   Johann Gan, Zhenyu Chen, Wei Li ( worksheet)
AWG
 
HIN-18-XXX: prompt D v_n{4} in pPb      
Planned
 
HIN-18-XXX: B->D v_n in pPb      
Planned
 
HIN-18-XXX: Lambda_c v_n in pPb      
Planned
 
HIN-18-XXX: Ds v_n in pPb      
Planned
 
HIN-18-XXX: D0, B->D, D*, Ds, Lambda_c yield in pPb      
Planned
 

References

Reconstruction, analysis and optimization codes

Training for optimization

  • Background training algorithms:
    • BDT (chosen, which is lighter)
    • MLP (taking very long)

  • Background training strategies:
    • Like-sign combination (chosen but comparable to sideband)
    • Sideband mass range

JPsi

  • Workbook: link
  • Pre-selections: VtxProb>0.01 && NHitD1>=6 && NHitD2>=6 && pTD1*cosh(EtaD1)>3.0 && pTD2*cosh(EtaD2)>3.0 && (pTD1*cosh(EtaD1)+pTD2*cosh(EtaD2))>8.0
  • List of variables:

Variable Note
pT J/Psi pT
y J/Psi y
VtxProb vertex fit probability
3DDecayLengthSignificance 3D decay length significance
2DDecayLengthSignificance 2D decay length significance
3DDecayLength 3D decay length
zDCASignificanceDaugther1 DCA significance of daughter 1 in z
zDCASignificanceDaugther2 DCA significance of daughter 2 in z
xyDCASignificanceDaugther1 DCA significance of daughter 1 in x-y
xyDCASignificanceDaugther2 DCA significance of daughter 2 in x-y
NHitD1 number of hits of daughter 1
NHitD2 number of hits of daughter 2
nMatchedChamberD1 number of matched chambers of daughter 1
nMatchedStationD1 number of matched stations of daughter 1
EnergyDepositionD1 energy deposition in calorimeter of daughter 1
nMatchedChamberD2 number of matched chambers of daughter 2
nMatchedStationD2 number of matched stations of daughter 2
EnergyDepositionD2 energy deposition in calorimeter of daughter 2
dxSig1_seg difference in x of measured and expected segment position of daughter 1
dySig1_seg difference in y of measured and expected segment position of daughter 1
ddxdzSig1_seg difference in x gradient of measured and expected segment position of daughter 1
ddydzSig1_seg difference in y gradient of measured and expected segment position of daughter 1
dxSig2_seg difference in x of measured and expected segment position of daughter 2
dySig2_seg difference in y of measured and expected segment position of daughter 2
ddxdzSig2_seg difference in x gradient of measured and expected segment position of daughter 2
ddydzSig2_seg difference in y gradient of measured and expected segment position of daughter 2
pTD1 pT of daughter 1
pTD2 pT of daughter 2
EtaD1 Eta of daughter 1
EtaD2 Eta of daughter 2

D0

  • Workbook: link
  • Pre-selections: NHitD1>=11 && NHitD2>=11 && HighPurityDaugther2==1 && HighPurityDaugther1==1 && (pTD1+pTD2)>1.6 && abs(EtaD1-EtaD2)<1.0 && pTD1>0.7 && pTD2>0.7
  • List of variables:

Variable Note
pT D0 pT
y D0 y
VtxProb vertex fit probability
3DDecayLengthSignificance 3D decay length significance
2DDecayLengthSignificance 2D decay length significance
3DDecayLength 3D decay length
3DPointingAngle 3D pointing angle
2DPointingAngle 2D pointing angle
zDCASignificanceDaugther1 DCA significance of daughter 1 in z
zDCASignificanceDaugther2 DCA significance of daughter 2 in z
xyDCASignificanceDaugther1 DCA significance of daughter 1 in x-y
xyDCASignificanceDaugther2 DCA significance of daughter 2 in x-y
NHitD1 number of hits of daughter 1
NHitD2 number of hits of daughter 2
pTerrD1 pT error of daughter 1
pTerrD2 pT error of daughter 2
pTD1 pT of daughter 1
pTD2 pT of daughter 2
EtaD1 Eta of daughter 1
EtaD2 Eta of daughter 2

Data samples

pPb 8.16 TeV (2016)

Primary datasets

Species Runs Triggers dataset
pPb 8 TeV 2016 HM /PAHighMultiplicity{0-7}/PARun2016C-PromptReco-v1/AOD
pPb 8 TeV 2016 MB /PAMinimumBias{1-20}/PARun2016C-PromptReco-v1/AOD
pPb 5 TeV 2016 HM /PAHighMultiplicity{0-7}/PARun2016{B,D}-PromptReco-v1/AOD
pPb 5 TeV 2016 MB /PAMinimumBias{1-20}/PARun2016{B,D}-PromptReco-v1/AOD

Skims

Era Species dataset
pPb D->KPi /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_D0Both_default_v1-1c60067745b1f8eb361c5a1e6ce2795e/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_D0Both_default_v1-1c60067745b1f8eb361c5a1e6ce2795e/USER
/PAHighMultiplicity{0,7}/davidlw-pPb_Skim_D0Both_default_v1-970f442569e397a6dbe2e80979c0eea4/USER
/PAHighMultiplicity{0,7}/davidlw-Pbp_Skim_D0Both_default_v1-970f442569e397a6dbe2e80979c0eea4/USER
/PAMinimumBias{1-8}/davidlw-pPb_Skim_D0Both_default_v1-1c60067745b1f8eb361c5a1e6ce2795e/USER
/PAMinimumBias{1-8}/davidlw-Pbp_Skim_D0Both_default_v1-1c60067745b1f8eb361c5a1e6ce2795e/USER
/PAMinimumBias{9-20}/davidlw-Pbp_Skim_D0Both_default_v1-970f442569e397a6dbe2e80979c0eea4/USER
pPb JPsi /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_JPsiBoth_default_v1-e0e26e1bcab095b6ddfe93551db7333d/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_JPsiBoth_default_v1-e0e26e1bcab095b6ddfe93551db7333d/USER
pPb Ks, Lambda, Xi, Omega /PAHighMultiplicity{1-6}/davidlw-RecoSkim2016_pPb_V0Cascade_v1-97be9aa52ea60cba5455e64649c12464/USER
/PAHighMultiplicity{1-6}/davidlw-RecoSkim2016_Pbp_V0Cascade_v1-97be9aa52ea60cba5455e64649c12464/USER
pPb Phi /PAHighMultiplicity1/davidlw-pPb_Skim_PhiBoth_v3_test-fc2d13f554c884a9ddda03e59dc0fe7b/USER
pPb MuMu /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_DiMuContBoth_default_v2-753e5416dcc725930129c4cde0e65308/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_DiMuContBoth_default_v2-753e5416dcc725930129c4cde0e65308/USER
/PASingleMuon/davidlw-pPb_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PASingleMuon/davidlw-Pbp_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PADoubleMuon/davidlw-pPb_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PADoubleMuon/davidlw-Pbp_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PAMinimumBias{1-8}/davidlw-pPb_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PAMinimumBias{1-8}/davidlw-Pbp_Skim_DiMuContBoth_default_v1-753e5416dcc725930129c4cde0e65308/USER
/PAMinimumBias{9-20}/davidlw-Pbp_Skim_DiMuContBoth_default_v1-ce7fb8ac9d865ab4b75edecc48700da0/USER
pPb Lambda_c /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_LambdaC_default_v2-f1b0d89da04e3368a9d3edee82942c38/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_LambdaC_default_v2-f1b0d89da04e3368a9d3edee82942c38/USER
pPb Ds->PhiPi /PAHighMultiplicity1/davidlw-pPb_Skim_DSToPhiPi_v3_test-0f0b5557cb2de3ffa917921212d821ea/USER
pPb Ds->KsK /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_Ds_default_v1-29099177aac3715e17026bbdcd4fe844/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_Ds_default_v1-29099177aac3715e17026bbdcd4fe844/USER
pPb D+-->KsPi /PAHighMultiplicity{1-6}/davidlw-pPb_Skim_DPM_default_v1-5ed3636d48c005dc58370ffb0b2fe9bb/USER
/PAHighMultiplicity{1-6}/davidlw-Pbp_Skim_DPM_default_v1-5ed3636d48c005dc58370ffb0b2fe9bb/USER
pp low PU 13 TeV D->KPi /HighMultiplicityEOF{,0,1,2}/davidlw-pp_Skim_D0Both_default_v1-f9516adb0ab4bcb5c36605171e6520f9/USER

Trees

  • Instruction on tree production
# set up software
cmsrel CMSSW_8_0_32
cd CMSSW_8_0_32/src
cmsenv
git clone -b 8_0_X https://github.com/davidlw/VertexCompositeAnalysis
git clone -b CMSSW80X https://github.com/davidlw/RiceHIG
mv RiceHIG/FlowCorrAna ./
scram b -j6

# launch crab jobs
cd VertexCompositeAnalysis/VertexCompositeAnalyzer/crab
python multicrab3_pPb2016_D0AndTrackTree.py 
(before launching this command, there are many PDs to be processed 
in the cfg. Maybe start with a few to see how it goes first)

Era Species Triggers dataset
pPb D->KPi HM /store/group/phys_heavyions/flowcorr/PAHighMultiplicity{1-20}/VertexCompositeTree_PAHighMultiplicity{1-20}_pPb_PARun2016C_D0AndTrackTreeMVA_20190705
Pbp D->KPi HM /store/group/phys_heavyions/flowcorr/PAHighMultiplicity{1-20}/VertexCompositeTree_PAHighMultiplicity{1-20}_Pbp_PARun2016C_D0AndTrackTreeMVA_20190705
pPb D->KPi MB /store/group/phys_heavyions/flowcorr/PAMinimumBias{1-8}/VertexCompositeTree_PAMinimumBias{1-8}_pPb_PARun2016C_D0AndTrackTreeMVA_20190704
Pbp D->KPi MB /store/group/phys_heavyions/flowcorr/PAMinimumBias{1-20}/VertexCompositeTree_PAMinimumBias{1-20}_Pbp_PARun2016C_D0AndTrackTreeMVA_20190705

Luminosity:

Index Trigger Dataset Lumi [/nb]
0 HLT_PAFullTracks_Multiplicity120_v PAHighMultiplicity0 2.48
1 HLT_PAFullTracks_Multiplicity150_v PAHighMultiplicity0 5.64
2 HLT_PAFullTracks_Multiplicity185_part PAHighMultiplicity 93.85
3 HLT_PAFullTracks_Multiplicity250_v PAHighMultiplicity7 172.12
4 HLT_PAL1MinimumBiasHF_OR_SinglePixelTrack_part PAMinimumBias1-20 4.04

pp 13 TeV low PU (2018)

Primary datasets

Species Runs Triggers dataset
pp 13 TeV 2018 HM /HighMultiplicityEOF{,0,1,2}/Run2018C-PromptReco-v2/AOD
pp 13 TeV 2018 MB /MinimumBias{0-9}/Run2018C-PromptReco-v2/AOD
/MinimumBias{0-9}/Run2018B-17Sep2018-v1/AOD
pp 13 TeV 2018 ZB /ZeroBias/Run2018C-PromptReco-v2/AOD
/ZeroBias/Run2018B-PromptReco-v2/AOD

Skims

Era Species Triggers dataset
pp D->KPi HM /HighMultiplicityEOF{ ,0,1,2}/davidlw-pp_Skim_D0Both_default_v1-f9516adb0ab4bcb5c36605171e6520f9/USER
pp D->KPi MB /MinimumBias{0-9}/davidlw-pp_Skim_D0Both_default_v1-91cff2ce5544be4dc902cb93cefcf11e/USER
/MinimumBias{0-9}/davidlw-pp2018BRereco_Skim_D0Both_default_v1-91cff2ce5544be4dc902cb93cefcf11e/USER
pp D->KPi ZB /ZeroBias/davidlw-pp2018_Skim_D0Both_default_v1-91cff2ce5544be4dc902cb93cefcf11e/USER
/ZeroBias/davidlw-pp2018B_Skim_D0Both_default_v1-91cff2ce5544be4dc902cb93cefcf11e/USER

Trees

  • Instruction on tree production
# set up software
cmsrel CMSSW_10_2_6
cd CMSSW_10_2_6/src
cmsenv
git clone -b 10_2_X_pp13TeV2018lowpu https://github.com/davidlw/VertexCompositeAnalysis
git clone -b CMSSW102Xpplowpu https://github.com/davidlw/RiceHIG
mv RiceHIG/FlowCorrAna ./
scram b -j6

# launch crab jobs
cd VertexCompositeAnalysis/VertexCompositeAnalyzer/crab
python multicrab3_pplowpu2018_D0AndTrackTree.py
(before launching this command, there are many PDs to be processed 
in the cfg. Maybe start with a few to see how it goes first)

Era Species Triggers dataset
pp D->KPi HM /eos/cms/store/group/phys_heavyions/flowcorr/HighMultiplicityEOF{ ,0,1,2}/VertexCompositeTree_HighMultiplicityEOF{ ,0,1,2}_Run2018_D0AndTrackTreeMVA_20190704
pp D->KPi MB /eos/cms/store/group/phys_heavyions/flowcorr/MinimumBias{0-9}/VertexCompositeTree_MinimumBias{0-9}_pp2018{B,C}_Run2018_D0AndTrackTreeMVA_20190704
pp D->KPi ZB /eos/cms/store/group/phys_heavyions/flowcorr/ZeroBias/VertexCompositeTree_ZeroBias_pp2018{B,C}_Run2018_D0AndTrackTreeMVA_20190704

Luminosity:

Index Trigger Dataset Lumi [/nb]
0 HLT_FullTrack_Multiplicity85_* HighMultiplicityEOF  
1 HLT_FullTrack_Multiplicity100_* HighMultiplicityEOF  
2 HLT_FullTrack_Multiplicity130_* HighMultiplicityEOF  
3 HLT_FullTrack_Multiplicity155_* HighMultiplicityEOF  
4 HLT_L1MinimumBiasHF_OR_* MinimumBias*  
5 HLT_ZeroBias_*    
6 HLT_L1DoubleMu0_*    

pp 13 TeV low PU (2017)

Primary datasets

Species Runs Triggers dataset
pp 13 TeV 2017 (295969, 295977) HM /HighMultiplicityEOF{1-3}/Run2017A-v1/RAW (RECO missing, not certified?)
pp 13 TeV 2017 (298854, 298855) HM /HighMultiplicityEOF{1-5}/Run2017B-PromptReco-v2/AOD
pp 13 TeV 2017 (299996, 300018, 300027, 300043, 300088) HM /HighMultiplicityEOF{1-5}/Run2017C-17Nov2017-v1/AOD
pp 13 TeV 2017 (303819) HM /HighMultiplicityEOF{1-5}/Run2017E-17Nov2017-v1/AOD
pp 13 TeV 2017 (295969, 295977) ZB /ZeroBias{1-10}/Run2017A-PromptReco-v1/AOD
pp 13 TeV 2017 (298854, 298855) ZB /ZeroBias{1-10}/Run2017B-PromptReco-v2/AOD
pp 13 TeV 2017 (299996, 300018, 300027, 300043, 300088) ZB /ZeroBias{1-10}/Run2017C-PromptReco-v2/AOD
pp 13 TeV 2017 (303819) MB /L1MinimumBias{1-10}/Run2017E-PromptReco-v1/AOD

Skims

Era Species Triggers dataset
pp D->KPi HM /HighMultiplicityEOF{1-5}/davidlw-pp2017E_Skim_D0Both_default_v1-8add6431583b23b33c0d28f50a0f22f7/USER
/HighMultiplicityEOF{1-5}/davidlw-pp2017C_Skim_D0Both_default_v1-8add6431583b23b33c0d28f50a0f22f7/USER
/HighMultiplicityEOF{1-5}/davidlw-pp2017B_Skim_D0Both_default_v1-8add6431583b23b33c0d28f50a0f22f7/USER
pp D->KPi MB /L1MinimumBias3/davidlw-pp2017E_Skim_D0Both_default_v1-8add6431583b23b33c0d28f50a0f22f7/USER
pp D->KPi ZB  

Trees

  • Instruction on tree production
# set up software
cmsrel CMSSW_9_4_4
cd CMSSW_9_4_4/src
cmsenv
git clone -b 9_4_X_pp2017 https://github.com/davidlw/VertexCompositeAnalysis
git clone -b CMSSW94Xpplowpu https://github.com/davidlw/RiceHIG
mv RiceHIG/FlowCorrAna ./
scram b -j6

# launch crab jobs
cd VertexCompositeAnalysis/VertexCompositeAnalyzer/crab
python multicrab3_pplowpu2017_D0AndTrackTree.py
(before launching this command, there are many PDs to be processed 
in the cfg. Maybe start with a few to see how it goes first)

YY/MM/DD Path
2019/07/02 /store/group/phys_heavyions/flowcorr/

Luminosity:

Index Trigger Dataset Lumi [/nb]
0 HLT_FullTrack_Multiplicity85_* HighMultiplicityEOF  
1 HLT_FullTrack_Multiplicity105_* HighMultiplicityEOF  
2 HLT_FullTrack_Multiplicity155_* HighMultiplicityEOF  
3 HLT_L1MinimumBiasHF_OR_* MinimumBias*  
4 HLT_ZeroBias_*    
5 HLT_L1DoubleMu0_*    

MC samples

Official D0 in pp 13 TeV 2018

  • /PrmtD0_pT-1p2_y-2p4_pp_13TeV_Pythia8/RunIILowPUAutumn18DR-102X_upgrade2018_realistic_v15-v1/AODSIM
  • /NonPrD0_pT-1p2_y-2p4_pp_13TeV_pythia8/RunIILowPUAutumn18DR-102X_upgrade2018_realistic_v15-v1/AODSIM

D0

Era Generator dataset
pPb 8TeV PYTHIA+EPOS, prompt D0 /PromptD0_D0pT-1p2_pPb-EmbEPOS_8p16_Pythia8/pPb816Summer16DR-pPbEmb_80X_mcRun2_pA_v4-v1/AODSIM
/PromptD0_D0pT-1p2_pPb-EmbEPOS_8p16_Pythia8/davidlw-pPb_Skim_D0Both_v1-b4e336f1831173b15564965986eff7fd/USER (skim)
pPb 8TeV PYTHIA+EPOS, non-prompt D0 /NonPromptD0_D0pT-1p2_pPb-EmbEPOS_8p16_Pythia8/pPb816Summer16DR-pPbEmb_80X_mcRun2_pA_v4-v1/AODSIM
/NonPromptD0_D0pT-1p2_pPb-EmbEPOS_8p16_Pythia8/davidlw-pPb_Skim_D0Both_v1-b4e336f1831173b15564965986eff7fd/USER (skim)

J/Psi

sample dataset
Pbp 8TeV, JPsi /Psi1SToMuMu_pTMu-2p5_PbP-Bst_8p16-Pythia8/davidlw-RecoSkim2016_Pbp_JPsi_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)
pPb 8TeV, JPsi /Psi1SToMuMu_pTMu-2p5_pPb-Bst_8p16-Pythia8/davidlw-RecoSkim2016_pPb_JPsi_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)
Pbp 8TeV, Psi2S /Psi2SToMuMu_pTMu-2p5_PbP-Bst_8p16-Pythia8/davidlw-RecoSkim2016_Pbp_Psi2S_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)
pPb 8TeV, Psi2S /Psi2SToMuMu_pTMu-2p5_pPb-Bst_8p16-Pythia8/davidlw-RecoSkim2016_pPb_Psi2S_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)
Pbp 8TeV, NP JPsi /NonPrPsi1_2SToMuMu_pTMu-2p5_PbP-Bst_8p16-Pythia8/davidlw-RecoSkim2016_Pbp_NPJPsi12S_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)
pPb 8TeV, NP JPsi /NonPrPsi1_2SToMuMu_pTMu-2p5_pPb-Bst_8p16-Pythia8/davidlw-RecoSkim2016_pPb_NPJPsi12S_v1-0a66f66d7871bedbe3caf4f3ff1ba8c1/USER (skim)

DS

Era Generator dataset
pp 8TeV PYTHIA /Pythia8_8160GeV_Ds_KsKaon/zhchen-Pythia8_8160GeV_Ds_KsKaon_AODSIM_v1-batch1-517fbb26312f777f94848083dc6dc607/USER
/Pythia8_8160GeV_Ds_KsKaon/davidlw-pPb_Skim_DsToKsK_v3-19accea35ac486c7b1763ef9c11ed1d2/USER (skim)

DPM

Era Generator dataset
pp 8TeV PYTHIA /Pythia8_8160GeV_Dmeson_KsPion/zhchen-Pythia8_8160GeV_Dmeson_KsPion_AODSIM_v1-batch1-517fbb26312f777f94848083dc6dc607/USER
/Pythia8_8160GeV_Dmeson_KsPion/davidlw-pPb_Skim_DPM_v1-7b1c24c3675fe279fa1f96690f999e6e/USER (skim)

Lambda_c

Generator Evt Type # Evts Content DataSet T2 More Info Notes
Pythia8 pPbEmb LambdaC->KsPr pT>0.9 2.9M AODSIM LambdaC-KsPr_LCpT-0p9_pPb-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 pPbEmb LambdaC->KsPr pT>5.9 1.86M AODSIM LambdaC-KsPr_LCpT-5p9_pPb-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 pPbEmb LambdaC->LamPi pT>0.9 7.98M AODSIM LambdaC-LamPi_LCpT-0p9_pPb-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 pPbEmb LambdaC->LamPi pT>5.9 7.2M AODSIM LambdaC-LamPi_LCpT-5p9_pPb-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 PbP Emb LambdaC->LamPi pT>0.9 8.1M AODSIM LambdaC-LamPi_LCpT-0p9_PbP-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 PbP Emb LambdaC->LamPi pT>5.9 7.1M AODSIM LambdaC-LamPi_LCpT-5p9_PbP-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 PbP Emb LambdaC->KsPr pT>0.9 3.0M AODSIM LambdaC-KsPr_LCpT-0p9_PbP-EmbEPOS_8p16_Pythia8 MIT McM 30
Pythia8 PbP Emb LambdaC->KsPr pT>5.9 1.9M AODSIM LambdaC-KsPr_LCpT-5p9_PbP-EmbEPOS_8p16_Pythia8 MIT McM 30
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Topic revision: r42 - 2019-08-20 - WeiLi
 
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