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Constraining Secluded Dark Matter models with the public data from the 79-string IceCube search for dark matter in the Sun

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Constraining Secluded Dark Matter models with the public data from the 79-string IceCube search for dark matter in the Sun

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dc.contributor.author Ardid Ramírez, Miguel es_ES
dc.contributor.author Felis-Enguix, Iván es_ES
dc.contributor.author Herrero Debón, Alicia es_ES
dc.contributor.author Martínez Mora, Juan Antonio es_ES
dc.date.accessioned 2017-10-04T17:45:54Z
dc.date.available 2017-10-04T17:45:54Z
dc.date.issued 2017-04
dc.identifier.issn 1475-7516
dc.identifier.uri http://hdl.handle.net/10251/88705
dc.description.abstract [EN] The 79-string IceCube search for dark matter in the Sun public data is used to test Secluded Dark Matter models. No significant excess over background is observed and constraints on the parameters of the models are derived. Moreover, the search is also used to constrain the dark photon model in the region of the parameter space with dark photon masses between 0.22 and ∼ 1 GeV and a kinetic mixing parameter ε ∼ 10−9 , which remains unconstrained. These are the first constraints of dark photons from neutrino telescopes. It is expected that neutrino telescopes will be efficient tools to test dark photons by means of different searches in the Sun, Earth and Galactic Center, which could complement constraints from direct detection, accelerators, astrophysics and indirect detection with other messengers, such as gamma rays or antiparticles. es_ES
dc.description.sponsorship We acknowledge the financial support of Plan Estatal de Investigacion, ref. FPA2015-65150C3-2-P (MINECO/FEDER), Consolider MultiDark CSD2009-00064 (MINECO) and of the Generalitat Valenciana, Grant Prometeoll/2014/079. We would like to thank the colleagues J.D. Zornoza, C. Rott, J.L. Feng, J. Smolinsky and P. Tanedo for the fruitful discussions and comments about this work. en_EN
dc.language Inglés es_ES
dc.publisher IOP Publishing es_ES
dc.relation.ispartof Journal of Cosmology and Astroparticle Physics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Dark matter experiments es_ES
dc.subject Neutrino detectors es_ES
dc.subject Ultra high energy photons and neutrinos es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Constraining Secluded Dark Matter models with the public data from the 79-string IceCube search for dark matter in the Sun es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/1475-7516/2017/04/010
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//FPA2015-65150-C3-2-P/ES/PARTICIPACION DE LA UPV EN ANTARES Y KM3NET-ARCA%2FORCA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CSD2009-00064/ES/Método de Multimensajeros para la Detección de la Materia Oscura/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F079/ES/Telescopios de Neutrinos en el Mediterráneo/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2018-04-30 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Ardid Ramírez, M.; Felis-Enguix, I.; Herrero Debón, A.; Martínez Mora, JA. (2017). Constraining Secluded Dark Matter models with the public data from the 79-string IceCube search for dark matter in the Sun. Journal of Cosmology and Astroparticle Physics. 2017(4):1-12. https://doi.org/10.1088/1475-7516/2017/04/010 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.dx.doi.org/10.1088/1475-7516/2017/04/010 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2017 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 340181 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Ciencia e Innovación


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