pith. sign in

arxiv: 1401.8155 · v1 · pith:QS62WCNZnew · submitted 2014-01-31 · ✦ hep-ex · physics.ins-det

The CMS Particle Flow Algorithm

classification ✦ hep-ex physics.ins-det
keywords algorithmparticlewillanalysesflowparticle-flowperformancereconstruction
0
0 comments X
read the original abstract

A particle flow event-reconstruction algorithm has been successfully deployed in the CMS experiment and is nowadays used by most of the analyses. It aims at identifying and reconstructing individually each particle arising from the LHC proton-proton collision, by combining the information from all the subdetectors. The resulting particle-flow event reconstruction leads to an improved performance for the reconstruction of jets and MET, and for the identification of electrons, muons, and taus. The algorithm and its performance will be described. The commissioning phase, during which it was demonstrated that the algorithm was performing as expected from the simulation up to a high level of precision, will be presented. Finally, a selection of recent improvements in the CMS analyses obtained thanks to the particle-flow algorithm will be discussed.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging

    cs.LG 2025-10 unverdicted novelty 5.0

    SAL-T enhances the linformer with spatially aware kinematic partitioning and convolutions to match full-attention transformer performance on jet tagging while keeping linear complexity and lower latency.