Slepian models for Gaussian random landscapes

Slepian models for Gaussian random landscapes

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 analy...

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Bibliographic Details
Main Authors: Jose J. Blanco-Pillado, Kepa Sousa, Mikel A. Urkiola
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Journal of High Energy Physics
Subjects:
Cosmology of Theories beyond the SM
Stochastic Processes
Superstring Vacua
Online Access:http://link.springer.com/article/10.1007/JHEP05(2020)142

Internet

http://link.springer.com/article/10.1007/JHEP05(2020)142

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