dc.contributor.author | Blanco Pillado, José Juan | |
dc.contributor.author | Sousa, Kepa | |
dc.contributor.author | Álvarez Urquiola, Mikel | |
dc.date.accessioned | 2020-11-03T11:06:02Z | |
dc.date.available | 2020-11-03T11:06:02Z | |
dc.date.issued | 2020-05-27 | |
dc.identifier.citation | Journal of High Energy Physics 2019 5 : (2020) // Article ID 142 | es_ES |
dc.identifier.issn | 1029-8479 | |
dc.identifier.uri | http://hdl.handle.net/10810/47625 | |
dc.description.abstract | Phenomenologically interesting scalar potentials are highly atypical in generic random landscapes. We develop the mathematical techniques to generate constrained random potentials, i.e.Slepian models, which can globally represent low-probability realizations of the landscape. We give analytical as well as numerical methods to construct these Slepian models for constrained realizations of a full Gaussian random field around critical as well as inflection points. We use these techniques to numerically generate in an efficient way a large number of minima at arbitrary heights of the potential and calculate their non-perturbative decay rate. Furthermore, we also illustrate how to use these methods by obtaining statistical information about the distribution of observables in an inflationary inflection point constructed within these models. | es_ES |
dc.description.sponsorship | We are grateful to Alex Vilenkin, Masaki Yamada and Jeremy M. Wachter for useful discussions, and to Jonathan Frazer for discussions and collaboration at the early stages of this project. This work was supported in part by the Spanish Ministry MINECO grant (FPA2015-64041-C2-1P), the MCIU/AEI/FEDER grant (PGC2018-094626-B-C21), the Basque Government grant (IT-979-16), the University of the Basque Country grant (PIF17/74), the Basque Foundation for Science (IKERBASQUE) and the Czech science foundation GA ~ CR grant (19-01850S). The numerical work necessary to carry out this research has been possible thanks to the computing infrastructure of the ARINA cluster at the University of the Basque Country, UPV/EHU. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/FPA2015-64041-C2-1P | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | cosmology of theories beyond the SM | es_ES |
dc.subject | stochastic processes | es_ES |
dc.subject | superstring vacua | es_ES |
dc.subject | false vacuum | es_ES |
dc.subject | fate | es_ES |
dc.title | Slepian models for Gaussian random landscapes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This article is distributed under the terms of the Creative Commons
Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in
any medium, provided the original author(s) and source are credited. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/JHEP05(2020)142 | es_ES |
dc.identifier.doi | 10.1007/JHEP05(2020)142 | |
dc.departamentoes | Física teórica e historia de la ciencia | es_ES |
dc.departamentoeu | Fisika teorikoa eta zientziaren historia | es_ES |