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• W3104429276 abstract "We develop analytic and numerical techniques for studying the statistics of slow-roll inflation in random Gaussian landscapes. As an illustration of these techniques, we analyze small-field inflation in a one-dimensional landscape. We calculate the probability distributions for the maximal number of e-folds and for the spectral index of density fluctuations ns and its running αs. These distributions have a universal form, insensitive to the correlation function of the Gaussian ensemble. We outline possible extensions of our methods to a large number of fields and to models of large-field inflation. These methods do not suffer from potential inconsistencies inherent in the Brownian motion technique, which has been used in most of the earlier treatments." @default.
• W3104429276 created "2020-11-23" @default.
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• W3104429276 date "2017-05-30" @default.
• W3104429276 modified "2023-10-18" @default.
• W3104429276 title "Inflation in random Gaussian landscapes" @default.
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• W3104429276 doi "https://doi.org/10.1088/1475-7516/2017/05/053" @default.
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