Author:
Henry Louis,Jashal Brij,Kholoimov Valerii,Mendoza Diego,Oyanguren Arantza,Svintozelskyi Volodymyr,Zhuo Jiahui
Abstract
Long-lived particles (LLPs) are very challenging to search for with current detectors and computing requirements due to their very displaced vertices. This study evaluates the ability of the trigger algorithms used in the Large Hadron Collider beauty (LHCb) experiment to detect long-lived particles and attempts to adapt them to enhance the sensitivity of this experiment to undiscovered long-lived particles. One of the challenges in the track reconstruction is to deal with the large amount of combinatorics of hits. A dedicated algorithm has been developed to cope with the large data output. When fully implemented, this algorithm would greatly increase the efficiency for any long-lived particle reconstruction in the forward region, for the Standard Model of particle physics and beyond.
Reference12 articles.
1. Leptoquarks meet ε′/ε and rare Kaon processes
2. Calefice Lukas, Hennequin Arthur, Henry Louis, Jashal Brij, Mendoza Diego, Oyanguren Arantza, Sanderswood Izaac, Vázquez Sierra Carlos, Zhuo Jiahui, and Part of LHCb-RTA Collaboration . Effect of the high-level trigger for detecting long-lived particles at lhcb. Frontiers in Big Data, 5, 2022.
3. Aaij et al. Allen: A high-level trigger on GPUs for LHCb. Computing and Software for Big Science, 4(1), apr 2020.
4. Aaij et al. LHCb Upgrade GPU High Level Trigger Technical Design Report, LHCB-TDR-021. Technical report, CERN, Geneva, May 2020.