A Global Event Description using Particle Flow with the CMS Detector

TL;DR

This paper presents the CMS particle flow algorithm, which integrates data from all CMS sub-detectors to improve event reconstruction and particle identification in high-energy proton-proton collisions at the LHC.

Contribution

It introduces a novel particle flow reconstruction method for CMS, enhancing the accuracy of event descriptions by combining multi-detector information.

Findings

Improved reconstruction of hadronic tau decays.

Enhanced measurement of missing transverse energy.

Demonstrated effectiveness in LHC collision environments.

Abstract

The CMS Detector consists of a large volume silicon tracker immersed in a high four Tesla magnetic field, together with a high resolution/granularity electromagnetic calorimeter and a nearly full solid angle coverage hadronic calorimeter. Particle flow reconstruction provides a global pp-collision event description by exploiting the combined information across all CMS sub-detectors, optimizing the reconstruction and the identification of each particle (photons, electrons, muons, unstable neutral hadrons, charged hadrons and neutral hadrons) in an event. This summary introduces the CMS particle flow algorithm, discusses the challenges associated with the LHC environment, and presents some first example results in the context of hadronic decays of taus as well as missing transverse energy.