Reconstruction of Cosmic and Beam-Halo Muons with the CMS Detector

TL;DR

This paper introduces a specialized reconstruction algorithm for cosmic and beam-halo muons in the CMS detector, improving detection efficiency for muons not originating from proton-proton collisions.

Contribution

The paper presents a novel pattern recognition algorithm tailored for cosmic and beam-halo muons, enhancing the CMS detector's ability to reconstruct non-collision muon tracks.

Findings

The new algorithm successfully reconstructs cosmic muons with high efficiency.

Performance evaluated using data from Cosmic Challenge phases I and II.

Demonstrates improved detection of non-collision muons in simulated and real data.

Abstract

The powerful muon and tracker systems of the CMS detector together with dedicated reconstruction software allow precise and efficient measurement of muon tracks originating from proton-proton collisions. The standard muon reconstruction algorithms, however, are inadequate to deal with muons that do not originate from collisions. We present the design, implementation, and performance of a dedicated cosmic muon track reconstruction algorithm, which features pattern recognition optimized for muons that are not coming from the interaction point, i.e. cosmic muons and beam-halo muons. To evaluate the performance of the new algorithm, data taken during Cosmic Challenge phases I and II as well as beam-halo muons recorded during the first LHC beam operation were studied. In addition, a variety of more general topologies of cosmic muons and beam-halo muons were studied using simulated data to demonstrate some key features of the new algorithm.