Local reconstruction algorithms in the cathode strip chambers of CMS

Author:

Paneva Mirena

Abstract

The design of the CMS detector is optimized for muon measurements. The muon system consists of gas ionization detector technologies. Cathode Strip Chambers (CSC) with both tracking and triggering capabilities are installed in the forward region. The first stage of muon reconstruction uses information from individual muon chambers and is thus called local reconstruction, in contrast to a subsequent global reconstruction where the information from all detectors is combined. First, 2-dimensional spatial points (rechits) describing where a muon crosses the CSC layers are built from the electrical signals induced by the charged particle traversing the chamber. Next, from the reconstructed hits, straight-line track segments are built within each chamber. Local reconstruction becomes particularly challenging at high instantaneous luminosities, which are expected at the HL-LHC. The high rate of particles traversing the detectors leads to increased rate of spurious rechits and segments thus increasing the combinatorial backgrounds. In this respect, work on improving the current and developing new algorithms is essential and is in progress. This document presents the existing local reconstruction algorithms used in the CMS cathode strip chambers. Their performance as well as ongoing efforts towards HL-LHC improvements are discussed.

Publisher

EDP Sciences

Reference8 articles.

1. Bruno G. et al., ”Local Reconstruction in the Muon Detectors”, CMS-NOTE-2002-043 (CERN, 2002).

2. Optimum geometry for strip cathodes or grids in MWPC for avalanche localization along the anode wires

3. Barashko V. et al., ”Fast algorithm for track segment and hit reconstruction in the CMS Cathode Strip Chambers”, CMS-NOTE-2007-023 (CERN, 2007).

4. New CSC segment builder algorithm with Monte-Carlo TeV muons in CMS experiment

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