A framework and implementation for data-driven trigger efficiency estimation at LHCb
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.
Authors
- A. Mathad (ORCID: https://orcid.org/0000-0002-9428-4715)
- A. Scarabotto (ORCID: https://orcid.org/0000-0003-2290-9672)
- J. A. Gooding (ORCID: https://orcid.org/0000-0003-3353-9750)
- J. Albrecht (ORCID: https://orcid.org/0000-0001-8636-1621)
- Maxim Lysenko
Institutions
- TU Dortmund University (DE)
- ETH Zurich (CH)
- European Organization for Nuclear Research (CH)
- Syracuse University (US)
Publication Details
- Journal
- The European Physical Journal C
- Published
- 2026-06-29
- DOI
- https://doi.org/10.1140/epjc/s10052-026-15966-9
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Horizon 2020 Framework Programme