6533b827fe1ef96bd1285cb1
RESEARCH PRODUCT
Track reconstruction for theMu3eexperiment based on a novel Multiple Scattering fit
Alexandr Kozlinskiysubject
PhysicsMuonPixelPhysics::Instrumentation and Detectors010308 nuclear & particles physicsScatteringBranching fractionPhysicsQC1-999Track (disk drive)DetectorPhase (waves)Tracking (particle physics)01 natural sciencesComputational physicsNuclear physics0103 physical sciencesHigh Energy Physics::Experiment010306 general physicsdescription
The Mu3e experiment is designed to search for the lepton flavor violating decay μ + → e + e + e − . The aim of the experiment is to reach a branching ratio sensitivity of 10−16 . In a first phase the experiment will be performed at an existing beam line at the Paul-Scherrer Institute (Switzerland) providing 108 muons per second, which will allow to reach a sensitivity of 2 · 10−15 . The muons with a momentum of about 28 MeV/c are stopped and decay at rest on a target. The decay products (positrons and electrons) with energies below 53MeV are measured by a tracking detector consisting of two double layers of 50 μm thin silicon pixel sensors. The high granularity of the pixel detector with a pixel size of 80 μm × 80 μm allows for a precise track reconstruction in the high multiplicity environment of the Mu3e experiment, reaching 100 tracks per reconstruction frame of 50 ns in the final phase of the experiment. To deal with such high rates and combinatorics, the Mu3e track reconstruction uses a novel fit algorithm that in the simplest case takes into account only the multiple scattering, which allows for a fast online tracking on a GPU based filter farm. An implementation of the 3-dimensional multiple scattering fit based on hit triplets is described. The extension of the fit that takes into account energy losses and pixel size is used for offline track reconstruction. The algorithm and performance of the offline track reconstruction based on a full Geant4 simulation of the Mu3e detector are presented.
year | journal | country | edition | language |
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2017-01-01 | EPJ Web of Conferences |