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Photon Muon Jet Pion Separation

Photon Muon Jet Pion Separation. Athena Overview. Job Options (python). Event Summary Data. Algorithms ( C++ ). Store Gate. Analysis Object Data. Parameters ( python). Athena Reconstruction Chain. RecExCommon_topOptions.py SystemRec_config.py

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Photon Muon Jet Pion Separation

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  1. Photon Muon Jet Pion Separation Nick Brett – Oxford University

  2. Athena Overview Job Options (python) Event Summary Data Algorithms ( C++ ) Store Gate Analysis Object Data Parameters ( python) Nick Brett – Oxford University

  3. Athena Reconstruction Chain RecExCommon_topOptions.py SystemRec_config.py Calorimeter Clustering [ Hcal + Ecal ] Muon Reconstruction [ MS + ID ] CombinedRec_config.py Egamma reconstruction [ Ecal + ID ] Jet Reconstruction [ Hcal + ID ] LowPt Muon reconstruction [ Hcal + ID ] Missing Et [ Hcal + Ecal ] AOD_Builder_jobOptions.py *Builder Algorithms Muon Spectrometer MS Hadronic Calorimeter Hcal ElectroMagnetic Calorimeter Ecal Inner Detector ID Nick Brett – Oxford University

  4. LArCluster CaloCell Trk::Track / ID Egamma / hard Egamma / soft Rec::TrackParticle / ID Electron Photon Egamma reconstruction ESD AOD Nick Brett – Oxford University

  5. Muon Reconstruction Muon Stand Alone identifies tracks in the MS iPatRec Identifies tracks in the ID Muon Comb combines tracks from MS and ID Nick Brett – Oxford University

  6. Trk::Track / ID Trk::Track / Muon Rec::TrackParticle / Muon Rec::TrackParticle / Muon Rec::TrackParticle / ID Rec::TrackParticle / ID Muon Muon reconstruction ESD AOD Nick Brett – Oxford University

  7. CaloCell CaloTower Jet tauObject Trk::Track/ID CaloCluster /Combined Rec::TrackParticle / ID Rec::TrackParticle / ID ParticleJet BJet TauJet Jet Reconstruction ESD AOD Nick Brett – Oxford University

  8. g p0 Few examples 2nd sampling electron jet 1st sampling electron jet Egamma – Pi/Jet Separation Shower Shape variables are extremely useful (see last weeks presentation by Alessandro Tricoli ) Useful Points • isEM bit mask details passed(0)/failed(1) EM id cuts • Pion likelihood stored in epiNN (Neural Network ) (electron only?) or PionWeight / EMWeight ( log likelihood ) parameters. Stolen From Alessandro Tricoli Nick Brett – Oxford University

  9. Gamma - Muon Separation • Photons are reconstructed from egamma / hard objects • These are seeded from EM clusters, not tracks • The PhotonBuilder Algorithm does contain a cut on Ehad / Eem • Normal Muon reconstruction is seeded by tracks in the MS Nick Brett – Oxford University

  10. Muon – Pi/Jet Separation • Jets should not affect normal muon reconstruction (seeded in MS) • The Hcal is used to tag low energy muons. Jets could interfere here • Muon Energy deposits in the Hcal could be reconstructed as jets Nick Brett – Oxford University

  11. Muon – Pi/Jet Separation Total Energy Deposited in Hcal by 100 GeV Muons (solid ) and electronic noise ( dashed ) • Muon energy deposits in the Hcal are very small • ATLAS jet reconstruction algorithms require a minimum Et of ~10 GeV Muon and Jet signals will only interfere with one another at Low Pt in the Hcal Nick Brett – Oxford University

  12. Summary • Documentation on this subject is somewhat sparse • Egamma – pi/jet documentation does exist and is useful • Muon and pi/jet reconstruction can only overlap at Low Pt Nick Brett – Oxford University

  13. Useful Links http://alxr.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/RecExample/RecExCommon/share/ RecExCommon_topOptions.py SystemRec_config.py CombinedRec_config.py Nick Brett – Oxford University

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