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Status of HCAL Optimization Studies at ANL

Status of HCAL Optimization Studies at ANL. GOAL : Optimize HCAL Design for 30%/ E Jet Energy Resolution. What we think we know : Eflow reconstruction of jets is necessary Charged particles – Tracker Photons – ECAL Neutral hadrons – HCAL Assume TPC Tracker Assume Si/W ECAL

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Status of HCAL Optimization Studies at ANL

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  1. Status of HCAL Optimization Studies at ANL GOAL : Optimize HCAL Design for30%/E Jet Energy Resolution • What we think we know : • Eflow reconstruction of jets is necessary • Charged particles – Tracker • Photons – ECAL • Neutral hadrons – HCAL • Assume TPC Tracker • Assume Si/W ECAL • Dense (small rM), high granularity design • Keeps  showers small (transverse size) • Maximum longitudinal separation between EM/HAD showers • Reconstruction of neutral hadron showers starting in ECAL? • Analog readout for photons

  2. E-Flow Implications for Calorimetry Traditional Standards Hermeticity Uniformity Compensation Single Particle E measurement Outside “thin” magnet (~1 T) E-Flow Modification Hermeticity Optimize ECAL/HCAL separately Longitudinal Segmentation Particle shower reconstruction Inside “thick” coil (~4 T) Optimized for best single particle E resolution Optimized for best particle shower separation/reconstruction

  3. HCAL Optimization Plans • E-Flow Analysis – Charged particles, Photon Reconstruction: • All charged particles reconstructed in Tracker – smear with TPC resolution, clusters removed from calorimeter • separation of charged particle/neutral particle clusters • charged particle cluster/track matching algorithm • Photon energy measured in ECAL – smear photons by ECAL resolution (15%/E)

  4. HCAL Optimization Plans (continued) • E-Flow Analysis – Neutral Hadron Reconstruction : KL0, n and nbar reconstructed in HCAL • Analog clustering algorithm – use cluster energy (2-D islands by layer) • Digital clustering algorithm – count hits in cluster (tracking code?) • Results – neutral hadron E resolution versus clustering method

  5.  Jet E Resolution (% E)  Digital Analog Readout Log10 Cell Size (cm2) HCAL Optimization Plans (continued) • How we will optimize HCAL : • Cell size determination • Separation of charged/neutral clusters in 3-D • Cluster algorithms • E-weighted cell association to clusters (analog readout) • Tracking clusterer (digital readout) • Fine tuning of Absorber • W/Pb/U?

  6. Example using JAS (Java Analysis Studio) e+e- ZZ SD Detector Cluster Cheater Simulated Data

  7. JAS Example (continued) • Charged particles in tracker • Neutral particles in CAL • -  in ECAL • - KL0, n, nbar in HCAL

  8. Analog/Digital Readout Comparison – Photons ~ 15%/E resolution Analog Readout – Cluster Cheater

  9. Analog/Digital Readout Comparison – Photons /mean ~ 25% Digital Readout

  10. Next Steps • Develop Tools : • Cluster Merger (EM + HAD) • Real Cluster Algorithm – Analog + Digital • Charged/Neutral Cluster Separation Algorithm • Simulated Data : • Vary readout size • Vary absorber material/thickness

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