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dc.contributor.author | De Romeri, Valentina | |
dc.contributor.author | Hirsch, Martin | |
dc.date.accessioned | 2014-08-26T08:51:32Z | |
dc.date.available | 2014-08-26T08:51:32Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | De Romeri, Valentina Hirsch, Martin 2012 Sneutrino dark matter in low-scale seesaw scenarios Journal of High Energy Physics 2012 12 106 | |
dc.identifier.uri | http://hdl.handle.net/10550/37400 | |
dc.description.abstract | We consider supersymmetric models in which sneutrinos are viable dark matter candidates. These are either simple extensions of the Minimal Supersymmetric Standard Model with additional singlet superfields, such as the inverse or linear seesaw, or a model with an additional U(1) group. All of these models can accomodate the observed small neutrino masses and large mixings. We investigate the properties of sneutrinos as dark matter candidates in these scenarios. We check for phenomenological bounds, such as correct relic abundance, consistency with direct detection cross section limits and laboratory constraints, among others lepton flavour violating (LFV) charged lepton decays. While inverse and linear seesaw lead to different results for LFV, both models have very similar dark matter phenomenology, consistent with all experimental bounds. The extended gauge model shows some additional and peculiar features due to the presence of an extra gauge boson Z' and an additional light Higgs. Specifically, we point out that for sneutrino LSPs there is a strong constraint on the mass of the Z' due to the experimental bounds on the direct detection scattering cross section. | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of High Energy Physics, 2012, vol. 2012, num. 12, p. 106 | |
dc.subject | Física | |
dc.title | Sneutrino dark matter in low-scale seesaw scenarios | |
dc.type | journal article | es_ES |
dc.date.updated | 2014-08-26T08:51:32Z | |
dc.identifier.doi | 10.1007/JHEP12(2012)106 | |
dc.identifier.idgrec | 084416 | |
dc.rights.accessRights | open access | es_ES |