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Modular Implementation of Particle Flow Algorithm with Minimized Dependence on the Detector Geometry

2006/01/11 by A. Raspereza, Raspereza, A.
Computer Science · Physics and Astronomy · #Data Analysis #Distributed and Parallel Computing Systems #FOS: Physical sciences #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an) #physics.data-an

paper · pdf · doi:10.48550/arxiv.physics/0601069

Talk at 2005 International Linear Collider Physics and Detector Workshop and Second ILC Accelerator Workshop, Snowmass, CO(Snowmass05) 4 pages, LaTeX, 4 eps figures

arxiv created 2006/01/11 · openalex publication_date 2006/01/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A Particle Flow Algorithm (PFA) with the minimized dependence on the detector geometry is presented. Current PFA implementation includes procedures of the track reconstruction, calorimeter clustering, and individual particle reconstruction and is meant as a tool for the optimization of the International e+e- Linear Collider detector.

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