| Article | |
| Title | Impact of the high-level trigger for detecting long-lived particles at LHCb |
| Author(s) | Henry, Louis (LPHE, Lausanne) ; Jashal, Brij (Valencia U., IFIC ; Tata Inst.) ; Kholoimov, Valerii (Valencia U., IFIC ; Taras Shevchenko U.) ; Mendoza, Diego (Valencia U., IFIC) ; Oyanguren, Arantza (Valencia U., IFIC) ; Svintozelskyi, Volodymyr (Valencia U., IFIC ; Taras Shevchenko U.) ; Zhuo, Jiahui (Valencia U., IFIC) |
| Publication | 2024 |
| Number of pages | 10 |
| In: | EPJ Web Conf. 295 (2024) 02015 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.02015 |
| DOI | 10.1051/epjconf/202429502015 |
| Subject category | Particle Physics - Experiment ; Detectors and Experimental Techniques ; Computing and Computers |
| Accelerator/Facility, Experiment | CERN LHC ; LHCb |
| 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. |
| Copyright/License | publication: © 2024 The authors CC-BY-4.0 |
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Record created 2024-12-10, last modified 2024-12-10
