2021
DOI: 10.48550/arxiv.2112.14712
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The hand-made tail: Non-perturbative tails from multifield inflation

Ana Achucarro,
Sebastian Cespedes,
Anne-Christine Davis
et al.

Abstract: It is becoming increasingly clear that large but rare fluctuations of the primordial curvature field, controlled by the tail of its probability distribution, could have dramatic effects on the current structure of the universe -e.g. via primordial black-holes. However, the use of standard perturbation theory to study the evolution of fluctuations during inflation fails in providing a reliable description of how non-linear interactions induce non-Gaussian tails. Here, we use the stochastic inflation formalism t… Show more

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Cited by 2 publications
(4 citation statements)
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“…As demonstrated in our study, the fully nonlinear mapping between R and δφ plays a key role for the tail of the PDF. Meanwhile, the stochastic effects during inflation may also lead to nontrivial non-Gaussian tails [13][14][15][16][17]. Thus it is encouraging to extend our current analysis to incorporate more general considerations.…”
Section: Discussionmentioning
confidence: 87%
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“…As demonstrated in our study, the fully nonlinear mapping between R and δφ plays a key role for the tail of the PDF. Meanwhile, the stochastic effects during inflation may also lead to nontrivial non-Gaussian tails [13][14][15][16][17]. Thus it is encouraging to extend our current analysis to incorporate more general considerations.…”
Section: Discussionmentioning
confidence: 87%
“…Except for the n-point correlators, there in principle exist significant phenomenological implications in the probability distribution of curvature perturbations that are not captured by perturbative approaches (see [7][8][9][10][11][12][13][14][15][16][17] for recent discussions). In particular, the perturbation theory breaks down at the tail of the distribution where fluctuations are large and rare.…”
Section: Introductionmentioning
confidence: 99%
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“…See [25] for further discussions. We leave the studies of the diffusion-dominated regime for future work; for relevant works on this direction, see [32][33][34][35].…”
Section: The Model and The Background Evolutionmentioning
confidence: 99%