Publicação
Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms
| Resumo: | We present a novel artificial intelligence approach to explore beyond Standard Model parameter spaces by leveraging a multi-objective optimisation algorithm. We apply this methodology to a non-minimal scotogenic model which is constrained by Higgs mass, anomalous magnetic moment of the muon, dark matter relic density, dark matter direct detection, neutrino masses and mixing, and lepton flavour violating processes. Our results successfully expand on the phenomenological realisations presented in previous work. We compare between multi- and single-objective algorithms and we observe more phenomenologically diverse solutions and an improved search capacity coming from the former. We use novelty detection to further explore sparsely populated regions of phenomenological interest. These results suggest a powerful search strategy that combines the global exploration of multi-objective optimisation with the exploitation of single-objective optimisation. |
|---|---|
| Autores principais: | Souza, Fernando Abreu de |
| Outros Autores: | Castro, Nuno Filipe; Romão, Miguel Crispim; Porod, Werner |
| Assunto: | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1877776154169966592 |
|---|---|
| author | Souza, Fernando Abreu de |
| author2 | Castro, Nuno Filipe Romão, Miguel Crispim Porod, Werner |
| author2_role | author author author |
| author_facet | Souza, Fernando Abreu de Castro, Nuno Filipe Romão, Miguel Crispim Porod, Werner |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Souza, Fernando Abreu de\"},{\"Person.name\":\"Castro, Nuno Filipe\"},{\"Person.name\":\"Romão, Miguel Crispim\"},{\"Person.name\":\"Porod, Werner\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Souza, Fernando Abreu de Castro, Nuno Filipe Romão, Miguel Crispim Porod, Werner |
| datacite.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| datacite.titles.title.fl_str_mv | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Souza, Fernando Abreu de Castro, Nuno Filipe Romão, Miguel Crispim Porod, Werner |
| dc.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/98775 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.rights.rights.copyright.fl_str_mv | openAccess |
| dc.subject.none.fl_str_mv | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| dc.title.fl_str_mv | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | We present a novel artificial intelligence approach to explore beyond Standard Model parameter spaces by leveraging a multi-objective optimisation algorithm. We apply this methodology to a non-minimal scotogenic model which is constrained by Higgs mass, anomalous magnetic moment of the muon, dark matter relic density, dark matter direct detection, neutrino masses and mixing, and lepton flavour violating processes. Our results successfully expand on the phenomenological realisations presented in previous work. We compare between multi- and single-objective algorithms and we observe more phenomenologically diverse solutions and an improved search capacity coming from the former. We use novelty detection to further explore sparsely populated regions of phenomenological interest. These results suggest a powerful search strategy that combines the global exploration of multi-objective optimisation with the exploitation of single-objective optimisation. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| funder_facet_str_mv | FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia, I.P. FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia, I.P. FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia, I.P. FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia, I.P. |
| funding.funder.alternateName_str_mv | FCT FCT FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. Fundação para a Ciência e a Tecnologia, I.P. |
| funding.identifier_str_mv | 2024.01362.CERN UI/BD/153105/2022 LA/P/0016/2020 UID/50007/2025 |
| funding.name_str_mv | Concurso de Projetos IC&DT: Cooperação entre Portugal e o CERN Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA) Avaliação UID 2023/2024 |
| funding_str_mv | 2024.01362.CERN https://hdl.handle.net/1822/98916 UI/BD/153105/2022 https://hdl.handle.net/1822/98917 LA/P/0016/2020 https://hdl.handle.net/1822/98575 UID/50007/2025 https://hdl.handle.net/1822/98918 |
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| identifier.url.fl_str_mv | https://hdl.handle.net/1822/98775 |
| inst_facet_str | urn:organizationAcronym:repositorium{{{_:::_}}}Universidade do Minho |
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| institution | Universidade do Minho |
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| language | eng |
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| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/98775 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Souza, Fernando Abreu de Castro, Nuno Filipe Romão, Miguel Crispim Porod, Werner |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Springer |
| repo_facet_str | urn:repositoryAcronym:rum{{{_:::_}}}RepositóriUM - Universidade do Minho |
| reponame_str | RepositóriUM - Universidade do Minho |
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| spelling | engSpringerengWe present a novel artificial intelligence approach to explore beyond Standard Model parameter spaces by leveraging a multi-objective optimisation algorithm. We apply this methodology to a non-minimal scotogenic model which is constrained by Higgs mass, anomalous magnetic moment of the muon, dark matter relic density, dark matter direct detection, neutrino masses and mixing, and lepton flavour violating processes. Our results successfully expand on the phenomenological realisations presented in previous work. We compare between multi- and single-objective algorithms and we observe more phenomenologically diverse solutions and an improved search capacity coming from the former. We use novelty detection to further explore sparsely populated regions of phenomenological interest. These results suggest a powerful search strategy that combines the global exploration of multi-objective optimisation with the exploitation of single-objective optimisation.application/pdfengExploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithmsSouza, Fernando Abreu deCastro, Nuno FilipeRomão, Miguel CrispimPorod, WernerHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONde Souza, F. A., Castro, N. F., Romao, M. C., & Porod, W. (2025). Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms. Journal of High Energy Physics(10). doi: 10.1007/jhep10(2025)116ISSNIsPartOf1126-6708EISSNIsPartOf1029-8479DOIIsPartOf10.1007/jhep10(2025)116URLHasVersionhttps://link.springer.com/article/10.1007/JHEP10(2025)11620252025-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/98775http://purl.org/coar/access_right/c_abf2open accessModels for Dark MatterParticle Nature of Dark MatterSpecific BSM Phenomenologyhttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Ciências Naturais::Ciências Físicas2007068 bytesFundação para a Ciência e a Tecnologia, I.P.Particle Dark Matter: Quantitative Exploration and Sweeping Testing [2024.01362.CERN]Concurso de Projetos IC&DT: Cooperação entre Portugal e o CERNhttps://hdl.handle.net/1822/989162024.01362.CERNCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.AutoBSM: Validating Beyond the Standard Model Physics with Machine Learning [UI/BD/153105/2022]https://hdl.handle.net/1822/98917UI/BD/153105/2022Crossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.Laboratory for Instrumentation and Experimental Particle Physics [LA/P/0016/2020]Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)https://hdl.handle.net/1822/98575LA/P/0016/2020Crossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a Tecnologia, I.P.Laboratório de Instrumentação e Física Experimental de Partículas [UID/50007/2025]Avaliação UID 2023/2024https://hdl.handle.net/1822/98918UID/50007/2025Crossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2025http://creativecommons.org/licenses/by/4.0/openAccesshttp://purl.org/coar/access_right/c_abf2application/pdfhttps://repositorium.uminho.pt/bitstreams/2500fdf9-3796-4a06-a5b2-85516a6df093/download |
| spellingShingle | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms Souza, Fernando Abreu de Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| status | SINGLETON |
| subject.fl_str_mv | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology |
| subject.other.fl_str_mv | Ciências Naturais::Ciências Físicas |
| title | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| title_full | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| title_fullStr | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| title_full_unstemmed | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| title_short | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| title_sort | Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms |
| topic | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| topic_facet | Models for Dark Matter Particle Nature of Dark Matter Specific BSM Phenomenology Ciências Naturais::Ciências Físicas |
| url | https://hdl.handle.net/1822/98775 |
| visible | 1 |