Impact of the High Level Trigger for detecting long-lived particles at LHCb

4 Nov 2022, 16:40
20m
CERN

CERN

Speaker

Diego Mendoza (Univ. of Valencia and CSIC (ES))

Description

Long-lived particles (LLPs) show up in many extensions of the Standard Model, yet are challenging to search for with current detectors, due to their very displaced vertices. In this talk, I will evaluate the ability of the trigger algorithms used in the LHCb experiment to detect long-lived particles and work to adapt them in order to enhance the sensitivity of this experiment to undiscovered long-lived particles. Sensitivity and efficiency to reconstruct /Lambda^O and K_s^0 SM particles are analyzed. Moreover, two particles regarding physics Beyond the Standard Model model are tested, and the sensitivity reach is discussed. I will also present the farthest tracking station of the LHCb tracking system from the collision point, the SciFi detector. One of the challenges in the track reconstruction is to deal with the large amount and combinatorics of hits in this detector. A dedicated algorithm has been developed to cope with the large data output. When fully implemented, this algorithm would greatly increase the available statistics for any long-lived particle search in the forward region, and would additionally improve the sensitivity of analyses dealing with Standard Model particles of a large lifetime.

Presentation materials