Novel strategies at LHCb for particle identification

TL;DR

This paper discusses innovative particle identification strategies at LHCb, emphasizing data-driven calibration improvements during LHC Run 2 that enhance detector performance and systematic studies.

Contribution

It introduces new data-driven calibration methods integrated into the high-level trigger, improving PID performance and systematic effect analysis at LHCb.

Findings

Calibration samples increased in size compared to Run 1

PID performance maintained or improved

Enhanced systematic studies through low-level detector data

Abstract

The LHCb experiment at the Large Hadron Collider (LHC) is performing high precision measurements in the flavour sector. An excellent performance of the particle identification (PID) detectors as well as the development of new data taking techniques are of fundamental importance in order to cope with increasingly harder challenges posed by the LHC Run 2. The approach of data-driven calibration of particle identification performance at LHCb has changed significantly from Run 1 to Run 2 and calibration samples are now selected directly in the LHCb high-level trigger. This change of data-taking paradigm enables larger calibration samples with respect to Run 1 to be collected, giving access to low-level detector informations useful for studies of systematic effects, while retaining the same (or improving) the PID performances observed Run 1.