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Calorimeter PIDs Vanya Belyaev, Ioury Gouz, Vladimir Romanovsky, Grygory Rybkin. Vanya Belyaev CERN & ITEP/Moscow. e + /e - PIDs EcalPIDe derived from c 2 match PrsPIDe derived from energy deposition in Prs BremPIDe derived from brem c 2 match HcalPIDe
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Calorimeter PIDsVanya Belyaev, Ioury Gouz, Vladimir Romanovsky, Grygory Rybkin Vanya Belyaev CERN & ITEP/Moscow
e+/e- PIDs EcalPIDe derived from c2 match PrsPIDe derived from energy deposition in Prs BremPIDe derived from brem c2 match HcalPIDe derived from energy deposition in Hcal along the particle trajectory m+m- PIDs HcalPIDmu Derived from energy deposition in Hcal along particle trajectory EcalPIDmu Derived from energy deposition in Ecal along particle trajectory g/p0 PIDs CaloMatch ShowerShape SpdPrs ClusterMass Calorimeter Particle ID techniques Vanya Belyaev CERN & ITEP/Moscow
Technique • All PIDs evaluate DLL • difference in log-likelihoods between the particle hypothesis and the “background” • The “measurable” value (e.g. c2 or EPrs) is converted into DLL by comparison with “reference” distributions for “Signal” and “Background” • Signal • The associated MC particle has “correct” type • Background • The associated MC particle has “wrong” type • Background does not include “ghosts” • Momentum dependencies are taken into account Vanya Belyaev CERN & ITEP/Moscow
Start from c2 “ElectronMatch” Select minimal c2 for given TrStoredTrack Produce 2D reference distributions for large reference data sets 800k for channels & b-inclusive tanh(c2/100) versus tanh(p/50 GeV/c) Normalize reference distributions to 1 in each bin on “momentum” Make a ratio of normalized distributions for “signal” and “background” Take a (natural) logarithm of this ratio The resulting histogram is used for evaluation of DLL: EcalPIDe EcalPIDe - procedure Vanya Belyaev CERN & ITEP/Moscow
EcalPIDe Raw distributions for 800k events e+/e- h/m ghosts e+/e- h/m ghosts tanh(p/50 GeV/c) tanh(c2/100) Vanya Belyaev CERN & ITEP/Moscow
EcalPIDe Raw distributions for 800k events e+/e- tanh(c2/100) tanh(c2/100) tanh(p/50 GeV/c) tanh(p/50 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
EcalPIDe Normalized distributions e+/e- tanh(c2/100) tanh(c2/100) tanh(p/50 GeV/c) tanh(p/50 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
EcalPIDe Results and performance e+/e- h/m ghosts DLL tanh(c2/100) DLL tanh(p/50 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
PrsPIDe Results and performance DLL e+/e- h/m ghosts tanh(EPrs/100 MeV) DLL tanh(p/50 GeV/c) DLL Vanya Belyaev CERN & ITEP/Moscow
BremPIDe Results and performance DLL e+/e- h/m ghosts tanh(cBrem2/200) DLL tanh(p/50 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
HcalPIDe Results and performance DLL e+/e- h/m ghosts tanh(EHcal/5 GeV) DLL tanh(p/50 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
m+/m-ID EHcal/EEcal spectra m+/m- h/e ghosts m+/m- h/e ghosts tanh(EEcal/5 GeV) tanh(EHcal/10 GeV) Vanya Belyaev CERN & ITEP/Moscow
HcalPIDm Results and performance DLL m+/m- h/e ghosts tanh(EHcal/10 GeV) DLL DLL DLL tanh(p/25 GeV/c) Vanya Belyaev CERN & ITEP/Moscow
EcalPIDm Results and performance DLL m+/m- h/e ghosts tanh(EEcal/5 GeV) tanh(p/25 GeV/c) DLL Vanya Belyaev CERN & ITEP/Moscow
Calorimeter PIDs New package Calo/CaloPIDs v1r0 6 different PID techniques 4 techniques for e+/e- ID 2 techniques for m+/m- ID All information is available in DaVinci Reference histograms could be updated To be done Combine all information to produce CaloPIDefor e+/e- ID CaloPIDmform+/m- ID Work ong/p0 PID (intermediate) summary Vanya Belyaev CERN & ITEP/Moscow
Sum CaloPIDs in a blind way: Results and performance (no RICH, no Muon, only Calo) e+/e- h/m ghosts m+/m- h/e ghosts DLL(e+/e-)-combined DLL(m+/m-) combined Vanya Belyaev CERN & ITEP/Moscow