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

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CCAST-Tsinghua School, 26/4/2009 Mark Thomson 33Use profiles to “dig out” photons overlapping with hadronic clusters:• Also look for photons where onlya single peak is found• Implemented by looking atlongitudinal profile of “shower”Only allowed if it results in acceptabletrack-cluster energy consistency…NOTE: in PandoraPFA, photon identification is an “iterative”, ratherthan one-off process: different levels of sophisticationapplied at different stages of algorithm
CCAST-Tsinghua School, 26/4/2009 Mark Thomson 34viii) Fragment removal : basic idea Look for “evidence” that a cluster is associated with another7 GeV cluster3 GeV6 GeV4 GeV6 GeVcluster9 GeV3 GeV6 GeV9 GeV track9 GeV5 GeV9 GeVDistance of closestapproachLayers in closecontactDistance totrack extrap.Fraction of energyin cone Convert to a numerical evidence score E Compare to another score “required evidence” for matching, R,based on change in E/p chi-squared, location in ECAL/HCAL etc. If E > Rthen clusters are merged Rather ad hoc but works well – but works well
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/

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

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