Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87721
Título: | Deep learning searches for vector-like leptons at the LHC and electron/muon colliders |
Autor(es): | Morais, Antonio P. Onofre, A. Freitas, Felipe F. Goncalves, João Pasechnik, Roman Santos, Rui |
Data: | 2023 |
Editora: | Springer |
Revista: | European Physical Journal C |
Citação: | Morais, A.P., Onofre, A., Freitas, F.F. et al. Deep learning searches for vector-like leptons at the LHC and electron/muon colliders. Eur. Phys. J. C 83, 232 (2023). https://doi.org/10.1140/epjc/s10052-023-11314-3 |
Resumo(s): | The discovery potential of both singlet and doublet vector-like leptons (VLLs) at the Large Hadron Collider (LHC) as well as at the not-so-far future muon and electron machines is explored. The focus is on a single production channel for LHC direct searches while double production signatures are proposed for the leptonic colliders. A Deep Learning algorithm to determine the discovery (or exclusion) statistical significance at the LHC is employed. While doublet VLLs can be probed up to masses of 1 TeV, their singlet counterparts have very low cross sections and can hardly be tested beyond a few hundreds of GeV at the LHC. This motivates a physics-case analysis in the context of leptonic colliders where one obtains larger cross sections in VLL double production channels, allowing to probe higher mass regimes otherwise inaccessible even to the LHC high-luminosity upgrade. |
Tipo: | Artigo |
Descrição: | This manuscript has no associated data or the data will not be deposited. [Authors’ comment: Due to the big memory size of the root files, they are not provided. Instead, csv data files used in the numerics are provided and can be found in one of the author’s GitHub page https://github.com/Mrazi09/VLL_collider.] |
URI: | https://hdl.handle.net/1822/87721 |
DOI: | 10.1140/epjc/s10052-023-11314-3 |
ISSN: | 1434-6044 |
e-ISSN: | 1434-6052 |
Versão da editora: | https://link.springer.com/article/10.1140/epjc/s10052-023-11314-3 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | LIP - Artigos/papers |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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s10052-023-11314-3.pdf | 2,06 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons