Recasting LHC searches for long-lived particles with MadAnalysis 5
| Autor: | Jack Y. Araz, Benjamin Fuks, Mark D. Goodsell, Manuel Utsch |
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| Přispěvatelé: | Laboratoire de Physique Théorique et Hautes Energies (LPTHE), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Physics and Astronomy (miscellaneous)
lepton CMS FOS: Physical sciences magnetic field ATLAS tracks High Energy Physics - Experiment High Energy Physics - Phenomenology High Energy Physics - Experiment (hep-ex) High Energy Physics - Phenomenology (hep-ph) CERN LHC Coll trajectory [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph] [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] data management particle: long-lived Engineering (miscellaneous) signature computer |
| Zdroj: | The European Physical Journal C, 2022, Vol.82(7) [Peer Reviewed Journal] European Physical Journal |
| Popis: | We present an extension of the simplified fast detector simulator of MadAnalysis 5 - the SFS framework - with methods making it suitable for the treatment of long-lived particles of any kind. This allows users to make use of intuitive Python commands and straightforward C++ methods to introduce detector effects relevant for long-lived particles, and to implement selection cuts and plots related to their properties. In particular, the impact of the magnetic field inside a typical high-energy physics detector on the trajectories of any charged object can now be easily simulated. As an illustration of the capabilities of this new development, we implement three existing LHC analyses dedicated to long-lived objects, namely a CMS run 2 search for displaced leptons in the $e\mu$ channel (CMS-EXO-16-022), the full run 2 CMS search for disappearing track signatures (CMS-EXO-19-010), and the partial run 2 ATLAS search for displaced vertices featuring a pair of oppositely-charged leptons (ATLAS-SUSY-2017-04). We document the careful validation of all MadAnalysis 5 SFS implementations of these analyses, which are publicly available as entries in the MadAnalysis 5 Public Analysis Database and its associated dataverse. Comment: 26 pages, 12 figures; version accepted by EPJC |
| Databáze: | OpenAIRE |
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