Vacuum Selection on Axionic Landscapes
Autor: | Thorsten Battefeld, Gaoyuan Wang |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Inflation (cosmology)
Physics High Energy Physics - Theory Cosmology and Nongalactic Astrophysics (astro-ph.CO) 010308 nuclear & particles physics Vacuum state FOS: Physical sciences Astronomy and Astrophysics Cosmological constant Expectation value 01 natural sciences Maxima and minima High Energy Physics - Theory (hep-th) 0103 physical sciences Statistical physics 010306 general physics Random matrix Anthropic principle Cosmological constant problem Astrophysics - Cosmology and Nongalactic Astrophysics |
Zdroj: | Journal of Cosmology and Astroparticle Physics |
Popis: | We compute the distribution of minima that are reached dynamically on multi-field axionic landscapes, both numerically and analytically. Such landscapes are well suited for inflationary model building due to the presence of shift symmetries and possible alignment effects (the KNP mechanism). The resulting distribution of dynamically reached minima differs considerably from the naive expectation based on counting all vacua. These differences are more pronounced in the presence of many fields due to dynamical selection effects: while low lying minima are preferred as fields roll down the potential, trajectories are also more likely to get trapped by one of the many nearby minima. We show that common analytic arguments based on random matrix theory in the large $D$-limit to estimate the distribution of minima are insufficient for quantitative arguments pertaining to the dynamically reached ones. This discrepancy is not restricted to axionic potentials. We provide an empirical expression for the expectation value of such dynamically reached minimas' height and argue that the cosmological constant problem is not alleviated in the absence of anthropic arguments. We further comment on the likelihood of inflation on axionic landscapes in the large D-limit. v.2: typos corrected, footnotes added, conclusions unchanged. 31 pages, 8 figures |
Databáze: | OpenAIRE |
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