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UTA GEM DHCAL Simulation

UTA GEM DHCAL Simulation. Introduction GEM Geometry Implementation Single Pion Study for GEM performances GEM Analog Mode GEM Digital Mode Single Pion EFA Studies Summary. Jae Yu * UTA DoE Site Visit Nov. 13, 2003.

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UTA GEM DHCAL Simulation

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  1. UTA GEM DHCAL Simulation • Introduction • GEM Geometry Implementation • Single Pion Study for GEM performances • GEM Analog Mode • GEM Digital Mode • Single Pion EFA Studies • Summary Jae Yu* UTA DoE Site Visit Nov. 13, 2003 (*On behalf of the UTA team; A. Brandt, K. De, S. Habib, V. Kaushik, J. Li, M. Sosebee, A. White)

  2. Introduction • LC physics topics require excellent jet energy and angular resolutions • Energy flow algorithm is one of the solutions • Large number of readout channel will drive up the cost for analogue style energy measurement  Digital HCAL • Tracking calorimeter with high gain sensitive gap • GEM is one such detector technology • Simulation effort to understand detector progressed along with prototype development • Thanks to the support from LCRD and ADR Status of DHCAL Simulation, J. Yu

  3. UTA GEM Simulation • LC Physics Events: Pandora – Phythia • Use Mokka as the primary tool • Kept the same detector dimensions as TESLA TDR • Replaced the HCAL scintillation counters with GEM (18mm SS + 6.5mm GEM, 1cmx1cm cells) • Single Pions used for performance & EFA studies • 5 – 100 GeV single pions • Analyzed them using ROOT Status of DHCAL Simulation, J. Yu

  4. TESLA TDR Geometry • Ecal – Electromagnetic Calorimeter Material: W/G10/Si/G10 plates (in yellow) • 1mm W absorber plates • 0.5 mm thick Si, embeded 2 G10 plates of 0.8 mm each • Hcal – Hadronic Calorimeter • Material: • 18 mm of Fe • 6.5 mm of Polystyrene scintillator (in green) Status of DHCAL Simulation, J. Yu

  5. UTA Double GEM Geometry Detailed GEM 75GeV p Simple GEM 75GeV p Detailed GEM <E>=0.81  0.008MeV <E>=0.80  0.007MeV ArCO 2 0. 00 6.5mm 5 1 Cu Simple GEM . 0. 0 00 Kapton 5 G10 ArCO2 3.4 mm GEM 3.1 mm 25.2sec/event for Simple GEM v/s 43.7 sec/event for Detailed GEM Status of DHCAL Simulation, J. Yu

  6. Energy Deposit for 10 GeV Pions (GEM) fEM>=0.85 fHC>=0.85 Total Remaining Status of DHCAL Simulation, J. Yu

  7. GEM-Digital: Elive vs # of hits for π- Status of DHCAL Simulation, J. Yu

  8. ~85% single hit ~15% >1 hit GEM Cell Occupancies ~74% single hit ~26% >1 hit Number of cells with higher number of hits increase w/ E Status of DHCAL Simulation, J. Yu

  9. E vs Layer N vs Layer Energy Deposit/Ncells vs Layers for 50 GeV Pions Status of DHCAL Simulation, J. Yu

  10. Extraction of of dE/dN Status of DHCAL Simulation, J. Yu

  11. EM-HAD Relative Weighting Factor • To compensate the response differences between ECAL and GEM HCAL responses a procedure to normalize them had to be introduced • ELive=SEEM+ W SgEHAD(g:GEM Intrinsic gain) • Obtained the relative weight W using two Gaussian fits to EM only v/s HAD only events • Perform linear fit to Mean values as a function of incident pion energy • Extract ratio of the slopes  Weight factor W • E = C* ELive Status of DHCAL Simulation, J. Yu

  12. GEM – Relative Weights Analog Digital Status of DHCAL Simulation, J. Yu

  13. GEM-Digital: Live Energy 50 GeV π- Status of DHCAL Simulation, J. Yu

  14. GEM – Normalized Response Analog: 2.4% Digital:2.6% Status of DHCAL Simulation, J. Yu

  15. Converted energy: 50 GeV π- Analog Digital Fits are Landau + Gaussian Status of DHCAL Simulation, J. Yu

  16. Digital GEM Analog GEM Resolutions Status of DHCAL Simulation, J. Yu

  17. Only susceptible part to Shower statistical fluctuation EF Technique Normal Calorimetric Method: C1 C2 C3 C4 C6 C5 Energy Flow Method: C7 p3 p2 p5 p7 Status of DHCAL Simulation, J. Yu

  18. Energy Flow Studies Using π- • Charged particle energy subtraction based on track-cluster association is important to EFA • The algorithm must work well with single particle case • Pions Eπ- = 7.5 GeV chosen for study • Studied the energy distribution of pions in jet events • Find the centroid of the shower ( HCAL ) using • Energy weighted method • Hits weighted method • Density weighted method • Match the extrapolated centroid with TPC last layer hit to get Δ and Δφ distribution Status of DHCAL Simulation, J. Yu

  19. Calorimeter Centroid Determination • Energy Weighted Method • Hit Weighted Method • Density Weighted Method Status of DHCAL Simulation, J. Yu

  20. Ep=50 GeV Event Displays 6 jets Single p Status of DHCAL Simulation, J. Yu

  21. Number of charged and Neutral particles <N>~6 <N>~12 Charged: e, , K Neutral particles Status of DHCAL Simulation, J. Yu

  22. R flattens out after 0.3 R of all the particles relative to quark Status of DHCAL Simulation, J. Yu

  23. E weighted <Dh>=-3.1x10-5 s=1.1x10-2 Numerical Mean <Dh>=-1.2x10-3 s=2.5x10-2 Dh (E weighted vs Numerical Mean) Ep = 50 GeV 1cm x 1 cm cells Analog seems to be better than digital but not by significant factor Status of DHCAL Simulation, J. Yu

  24. Bug???  - 7.5 GeV π- Energy Weighted Hit Density Weighted Status of DHCAL Simulation, J. Yu

  25. Summary • Made a marked progress thanks to the LCRD and ADR support • Completed single p GEM DHCAL performance studies • Initial study documented in Habib’s MS thesis • More detailed and refined study being completed by Kaushik • Analog resolution seems to be worse compared to other detector technology due to large fluctuation in initial ionization electrons • Digital, however, performance is comparable to other analog technologies • Released our Pandora – Phythia ASCII and other analysis packages to LC software group per their request Status of DHCAL Simulation, J. Yu

  26. EFA studies in progress • Study track – cluster association and energy subtraction using single pion  Three methods being investigated • Study typical distance between charged particles within the jet • Determine necessary resolving power for realistic situation • Prepare for larger scale prototype, cosmic ray stack and TB simulation • Development of analysis software • Continued and increased support is critical to make the next quantum jump Status of DHCAL Simulation, J. Yu

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