Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/29878 |
Resumo: | Inverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence of new physics, in the form of heavy neutrinos, at TeV scale. Therefore it is a phenomenologically viable seesaw mechanism since its signature may be probed at the LHC. Moreover it is successfully embedded into gauge extensions of the standard model as the 3-3-1 model with the right-handed neutrinos. In this work we revisit the implementation of this mechanism into the 3-3-1 model and employ deep learning analysis to probe such setting at the LHC and, as main result, we have that if its signature is not detected in the next LHC running with energy of 14 TeVs, then, the vector boson $Z^{\prime}$ of the 3-3-1 model must be heavier than 4 TeVs. |
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Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHCInverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence of new physics, in the form of heavy neutrinos, at TeV scale. Therefore it is a phenomenologically viable seesaw mechanism since its signature may be probed at the LHC. Moreover it is successfully embedded into gauge extensions of the standard model as the 3-3-1 model with the right-handed neutrinos. In this work we revisit the implementation of this mechanism into the 3-3-1 model and employ deep learning analysis to probe such setting at the LHC and, as main result, we have that if its signature is not detected in the next LHC running with energy of 14 TeVs, then, the vector boson $Z^{\prime}$ of the 3-3-1 model must be heavier than 4 TeVs.Elsevier2020-11-24T11:49:46Z2020-11-10T00:00:00Z2020-11-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/29878eng0370-269310.1016/j.physletb.2020.135931Cogollo, D.Freitas, F. F.Pires, C. A. de S.Oviedo-Torres, Yohan M.Vasconcelos, P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:57:46Zoai:ria.ua.pt:10773/29878Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:02:07.364645Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
title |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
spellingShingle |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC Cogollo, D. |
title_short |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
title_full |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
title_fullStr |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
title_full_unstemmed |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
title_sort |
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC |
author |
Cogollo, D. |
author_facet |
Cogollo, D. Freitas, F. F. Pires, C. A. de S. Oviedo-Torres, Yohan M. Vasconcelos, P. |
author_role |
author |
author2 |
Freitas, F. F. Pires, C. A. de S. Oviedo-Torres, Yohan M. Vasconcelos, P. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Cogollo, D. Freitas, F. F. Pires, C. A. de S. Oviedo-Torres, Yohan M. Vasconcelos, P. |
description |
Inverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence of new physics, in the form of heavy neutrinos, at TeV scale. Therefore it is a phenomenologically viable seesaw mechanism since its signature may be probed at the LHC. Moreover it is successfully embedded into gauge extensions of the standard model as the 3-3-1 model with the right-handed neutrinos. In this work we revisit the implementation of this mechanism into the 3-3-1 model and employ deep learning analysis to probe such setting at the LHC and, as main result, we have that if its signature is not detected in the next LHC running with energy of 14 TeVs, then, the vector boson $Z^{\prime}$ of the 3-3-1 model must be heavier than 4 TeVs. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-24T11:49:46Z 2020-11-10T00:00:00Z 2020-11-10 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/29878 |
url |
http://hdl.handle.net/10773/29878 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0370-2693 10.1016/j.physletb.2020.135931 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137676930056192 |