Simulation of particle identification with the cluster counting technique

2021/05/14 by F. Cuna, Cuna, Federica, N. De Filippis +5 · 2 citations
Computer Science · #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Statistical and Computational Modeling

paper · pdf · doi:10.48550/arxiv.2105.07064

openalex publication_date 2021/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this paper we show the potential of the cluster counting technique for particle identification. Simulations based on Garfield++ software prove that this technique improves the particle separation capabilities with respect to the ones obtained with the traditional method of dE/dx. Moreover three different algorithms to reproduce the clusters number and the cluster size distribution with Geant4 software are discussed.

Cited by

• Flavor-physics benchmarks for tracker-based particle identification at the FCC-ee
• Enhancing Particle Identification in Helium-Based Drift Chambers Using Cluster Counting Insights from Beam Test Studies

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