Implementation of Particle Flow Algorithm and Muon Identification

TL;DR

This paper details the implementation of the Particle Flow Algorithm and muon identification at the University of Iowa, demonstrating improved jet energy resolution and muon detection performance using Monte Carlo simulations for the ILC Silicon Detector.

Contribution

It introduces a new implementation of the Particle Flow Algorithm and muon identification tailored for the ILC Silicon Detector design.

Findings

Enhanced jet energy resolution achieved

High muon efficiency and purity demonstrated

Validated with Monte Carlo simulations for ILC

Abstract

We present the implementation of the Particle Flow Algorithm and the result of the muon identification developed at the University of Iowa. We use Monte Carlo samples generated for the benchmark LOI process with the Silicon Detector design at the International Linear Collider. With the muon identification, an improved jet energy resolution, good muon efficiency and purity are achieved.