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Tracker Software MECO/Mu2e Experience

Tracker Software MECO/Mu2e Experience. January 24, 2008. Yury Kolomensky UC Berkeley/LBNL. History. Mu2e: benefit from years of detailed studies for MECO Also inherited the code base, which I will briefly review here

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Tracker Software MECO/Mu2e Experience

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  1. Tracker SoftwareMECO/Mu2e Experience January 24, 2008 Yury KolomenskyUC Berkeley/LBNL

  2. History • Mu2e: benefit from years of detailed studies for MECO • Also inherited the code base, which I will briefly review here • Present effort: new, unified simulation/reconstruction platform, modern software tools and algorithms • Rob Kutschke et al • Based on (lighter) CMS Framework • Would make it easier to adapt new pattern recognition, track fitting algorithms, use existing HEP code base YGK, Tracker Software

  3. MECO Software Overview • Two simulations packages, based on Geant3 and Geant4 • GMC (G3): most developed, used by Mu2e • Detailed geometry, field maps • Beamline simulations, signal and backgrounds • Tightly integrated pattern recognition/tracking for L-tracker • Standalone G3 for T-tracker simulations • Step-wise approach: simulate signals and backgrounds, read into separate (C++-based) reco code • Rudimentary G4/C++ • Some work by Vladimir Tumakov on porting MECO geometry • Some work at Irvine (Paul Huwe) on porting L-tracker PatRec to C++ • No hardware response (hit digitization, efficiency) • Resolution smearing YGK, Tracker Software

  4. Longitudinal Tracker Geometry: Octagon with Eight Vanes Straws: 2.9 m length  5mm diameter, 25 mm thickness – 2800 total Three layers per plane, outer two resistive, inner conductingPads: 30 cm  5mm wide cathode strips affixed to outer straws 18500 total pads Position Resolution: 0.2 mm (r,f)  1.5 mm (z) Readout Channels: 20k each of ADC & TDC Main advantage: pattern recognition, intrinsic momentum resolution (180o spectrometer) YGK, Tracker Software

  5. Transverse Tracker Geometry: 18 Modules of three planes each, 30° rotation between successive planes Straws: 70 – 130 cm length  5mm diameter, 15 or 25 mm thickness 12960 total straws One layer per plane All straws conducting Position Resolution: 0.2 mm (x,y) Main advantage: mechanical Biggest issue: pattern recognition YGK, Tracker Software

  6. Tracker Simulations • Simulations, reproduced by Mu2e • Detailed geometries, including straw walls, wires, gas manifolds • Noise hits, at nominal and double rate, including highly-ionizing protons • Energy loss and straggling in the stopping target • L-tracker: Gaussian resolution model and average hit efficiency, “salt and pepper” backgrounds superimposed • T-tracker: more sophisticated PatRec, including L-R ambiguities • What wasn’t specifically done • Hit digitization • Limited scope: upshifting DIO electrons due to PatRec errors YGK, Tracker Software

  7. L-Tracker Reconstruction • Helical pattern recognition based on space-points • Likelihood-based fitter • Reasonably robust against background hits • Intrinsic momentum resolution ~180 keV • Efficiency ~19% YGK, Tracker Software

  8. T-Tracker: Deterministic Annealing Filter • Left and Right points are projected on straw center layer using fitted helix • Calculate point prob  Gauss(Xi, Mean, Vn) • Kalman filter runs on all layers taking weighted mean according to point prob • If combined hit prob < Threshold  hit is rejected • Combinatorial Collapse Filter (CCF) treats Left-Right problem keeping a set of best choices • CPU-intensive YGK, Tracker Software

  9. T-Tracker Resolution Prec-Pgen • Nominal background and 25 µm • Delta-ray and straw inefficiency • Average straw rate 550 kHz • Kalman filter reconstruction • Intrinsic Resolution  = 190 keV • Average efficiency ~19% YGK, Tracker Software

  10. Mu2e Software • Goal: integrated simulation/reconstruction framework using modern tools and practices • Ongoing work by CD @ FNAL (R.Kutschke et al.) • “CMS-lite” implementation • Provide overall distribution/build/runtime infrastructure • Geometry, constants management • “Grid-enabled” to facilitate parallel farm processing • Options for “one-shot” sim/reco process, or step-wise YGK, Tracker Software

  11. Infrastructure Deliverables Later • ~ Immediate future Rob Kutschke • Framework proper • Services • Configuration • Geometry shell • Simulation shell • IO system • Initial documentation • Conditions • Full featured build and release mgt • Grid features • Full documentation YGK, Tracker Software

  12. Opportunities for Collaboration • Common infrastructure, tools ? • Take advantage of FNAL CPU farm • Facilitate comparisons between options • Cooperation on algorithms and simulations • Backgrounds • Pattern recognition/fitting • Even if the details of geometry are different, concepts are the same YGK, Tracker Software

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