Szczegóły publikacji
Opis bibliograficzny
Design and implementation of a novel approach for long-lived particle reconstruction in LHCb experiment at CERN / Piotr KULCZYCKI, Grzegorz GOŁASZEWSKI, Tomasz SZUMLAK, Szymon ŁUKASIK // Computer Physics Communications ; ISSN 0010-4655 . — 2025 — vol. 315 art. no. 109721, s. -1–11. — Bibliogr. s. 11, Abstr. — Publikacja dostępna online od: 2025-06-13. — P. Kulczycki, Sz. Łukasik – dod. afiliacja: Polish Academy of Sciences, Systems Research Institute, Centre of Information Technology for Data Analysis Methods
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 162653 |
|---|---|
| Data dodania do BaDAP | 2025-09-19 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.cpc.2025.109721 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Computer Physics Communications |
Abstract
The subject of this paper is the improvement of the procedure to reconstruct long-lived particles in the LHCb (Large Hadron Collider beauty) experiment, one of the main experiments conducted by the European Organization for Nuclear Research CERN in Geneva. The goal of this procedure is to detect or, in other words, reconstruct long-lived particle tracks, based on observations obtained from measurement modules placed far apart, with a primary focus of eliminating erroneously created tracks, the so-called ghost-tracks. The investigated method is carried out by pairing proper trajectories and two autonomous filtering algorithms that are based on the nonparametric estimation of a distribution density as well as an autoencoder, a neural network designated for unsupervised learning. The values obtained from these two algorithms founded on complementary methodologies, mathematical statistics and computational intelligence, are combined with the t-norm. As a result, the number of ghost-tracks is reduced threefold when compared with the method primarily used. To evaluate the results of the designed procedure, a measure of the reconstruction quality, without the information whether a given track is real or only a ghost, is additionally created and effectively applied. Illustrative interpretations make it easier to potentially employ the method elaborated here to research tasks of similar conditions.
