Optimizing b-Jet Performance in the CMS High-Level Trigger with Run-3 Data

TL;DR

This paper evaluates and optimizes the b-jet trigger algorithms in the CMS High-Level Trigger system during Run-3, enhancing real-time heavy-flavor jet identification for improved physics analyses.

Contribution

It introduces new algorithm optimization and performance evaluation methods for b-jet triggers in the CMS HLT using Run-3 data.

Findings

Improved b-jet trigger efficiency demonstrated

Effective algorithm refinements identified for future use

Comparison with offline reconstruction shows good agreement

Abstract

The real-time identification and selection of b-jets play a crucial role in the CMS experiment, particularly in searches involving heavy-flavor jets. The High-Level Trigger (HLT) is designed to efficiently select events of interest while maintaining a manageable output rate of a few kilohertz. This report presents the commissioning and performance evaluation of b-jet triggers in the CMS HLT system using proton-proton collision data collected during Run-3 (2022-2024). Key aspects include algorithm optimization, efficiency studies, and comparisons with offline reconstruction. The results provide valuable insights into the current b-jet selection strategy and highlight potential refinements for future data-taking campaigns.