Papers › Stochastic inflation beyond slow roll: noise modelling and importance sampling
Stochastic inflation beyond slow roll: noise modelling and importance sampling
Joseph H. P. Jackson, Hooshyar Assadullahi, Andrew D. Gow, Kazuya Koyama, Vincent Vennin, David Wands
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We simulate the distribution of very rare, large excursions in the primordial density field produced in models of inflation in the very early universe which include a strong enhancement of the power spectrum. The stochastic δ𝒩 formalism is used to identify the probability distribution for the primordial curvature perturbation with the first-passage-time distribution, P(δ𝒩), and we compare our stochastic results with those obtained in the classical δ𝒩 approach. We extend the PyFPT numerical code to simulate the full 2D phase space, and apply importance sampling which allows very rare fluctuations to be simulated in 𝒪(10) minutes on a single CPU, where previous direct simulations required supercomputers. We demonstrate that the stochastic noise due to quantum fluctuations after a sudden transition to ultra-slow roll can be accurately modelled using an analytical Bessel-function ansatz to identify the homogeneous growing mode. The stochastic noise found in this way is a function of the field value only. This enables us to coarse grain the inflation field at the Hubble scale and include non-linear, stochastic evolution on all super-Hubble length scales.
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