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19–25 Oct 2024
Europe/Zurich timezone

Kalman filter for muon reconstruction in the CMS Phase-2 endcap calorimeter

WED 24
23 Oct 2024, 15:18
57m
Exhibition Hall

Exhibition Hall

Poster Track 3 - Offline Computing Poster session

Speaker

Mark Nicholas Matthewman (HEPHY)

Description

The High Luminosity phase of the LHC (HL-LHC) will offer a greatly increased number of events for more precise standard model measurements and BSM searches. To cope with the harsh environment created by numerous simultaneous proton-proton collisions, the CMS Collaboration has begun construction of a new endcap calorimeter, the High-Granularity Calorimeters (HGCAL). As part of this project, a new reconstruction framework, TICL, is being developed, aiming to exploit the possibilities of heterogeneous computing, and employing machine learning elements.

While TICL has shown impressive results for particle shower reconstruction in HGCAL, the proposed calorimeters’ high granularity can be used to track muons. Precise tracking of externally identified muons through the calorimeter allows them to be used for the crucial task of following the evolving inter-cell relative response, and calibrating it, in order to maintain good energy resolution.

In this contribution, we propose to integrate a Kalman Filter into the TICL framework for dedicated muon reconstruction. Furthermore, we present a comprehensive performance evaluation of the algorithm under various conditions akin to those at the HL-LHC. Finally, we discuss the capabilities and limitations of the Kalman Filter as a tool for inter-cell calibration.

Primary authors

Erica Brondolin (CERN) Marco Rovere (CERN) Mark Nicholas Matthewman (HEPHY) Wolfgang Waltenberger (Austrian Academy of Sciences (AT))

Presentation materials