Particle Flow Calorimetry and ILC Detector Design - Center for High ...

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CCAST-Tsinghua School, 26/4/2009 Mark Thomson 21e.g. Kinks Kink finding extends to “loopers” Can give a measure of missing energy Consider physics hypothesis, e.g.K ± µ ± ν Use Helix fits to start and end of tracks toreconstruct missing particle e.g. νp Kp µ Can then reconstruct primary mass If consistent with hypothesis, e.g. m K useprimary track for PFO four-momentumPandoraPFA reconstructs (some) neutrinos !
CCAST-Tsinghua School, 26/4/2009 Mark Thomson 22ii) ECAL/HCAL Clustering Start at inner layers and work outward Tracks can be used to “seed” clusters Associate hits with existing Clusters If no association made form new Cluster Simple cone based algorithm0 1 2 3 4 5 6Simple cone algorithmbased on current direction+ additional N pixelsCones based on either:initial PC direction orcurrent PC directionInitial clusterdirectionUnmatched hits seedsnew clusterParameters:• cone angle• additional pixels
Page 5 and 6: CCAST-Tsinghua School, 26/4/2009 Ma
Page 15: ILD Software Framework (C++) Everyt
Page 18 and 19: PandoraPFANeed “realistic” Part
Page 26 and 27: Example : MIP segmentsCCAST-Tsinghu
Page 32 and 33: vi) Photon ID/Recovery Use simple c
Page 36 and 37: Putting it all together…CCAST-Tsi
Page 42 and 43: Understanding PFA PerformanceCCAST-
Page 46 and 47: HCAL Depth ResultsCCAST-Tsinghua Sc
Page 48 and 49: Cost drivers:e.g. Radius vs. B-fiel
Page 52 and 53: Particle Flow can deliver ILC jet e
Page 54 and 55: General ConsiderationsCCAST-Tsinghu
Page 60: Thank youCCAST-Tsinghua School, 26/

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