A framework and implementation for data-driven trigger efficiency estimation at LHCb

The European Physical Journal C 2026 Open access

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Authors: J. Albrecht, J. A. Gooding, Maxim Lysenko, A. Mathad, Alessandro Scarabotto, Tomasz Skwarnicki
DOI: 10.1140/epjc/s10052-026-15966-9
Cited by: 0
References: 43

Abstract

Abstract Estimations of trigger efficiencies are essential to modern particle physics analyses. A data-driven method provides a framework in which to estimate these efficiencies from the properties of reconstructed candidates, described in this paper. This paper also presents the design, implementation and performance of a software package, TriggerCalib, which provides a first centralised implementation of these calculations and can be seamlessly employed in physics analyses. Additionally, the estimation of statistical and systematic uncertainties is discussed.

Fields of Study & Subjects

Particle physics theoretical and experimental studies Particle Detector Development and Performance Medical Imaging Techniques and Applications

Publication details

Journal / source
The European Physical Journal C
Publisher
Springer Science and Business Media LLC
Volume
86
Issue
6
Publication date
29 June 2026
Language
EN