Stochastic inflation beyond slow roll: noise modelling and importance sampling

被引:2
作者
Jackson, Joseph H. P. [1 ]
Assadullahi, Hooshyar [1 ,2 ]
Gow, Andrew D. [1 ]
Koyama, Kazuya [1 ]
Vennin, Vincent [1 ,3 ]
Wands, David [1 ]
机构
[1] Univ Portsmouth, Inst Cosmol & Gravitat, Dennis Sciama Bldg,Burnaby Rd, Portsmouth PO1 3FX, England
[2] Univ Portsmouth, Sch Math & Phys, Lion Gate Bldg,Lion Terrace, Portsmouth PO1 3HF, England
[3] Sorbonne Univ, Univ PSL, Univ Paris Cite, Lab Phys Ecole Normale Super,ENS,CNRS, F-75005 Paris, France
基金
英国科学技术设施理事会;
关键词
inflation; physics of the early universe; primordial black holes; Statistical sampling techniques; COSMOLOGICAL PERTURBATIONS; DENSITY PERTURBATIONS; UNIVERSE SCENARIO; PHASE-TRANSITION; DYNAMICS; HORIZON; FLUCTUATIONS; GENERATION; EXPANSION; SPECTRUM;
D O I
10.1088/1475-7516/2025/04/073
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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 delta N formalism is used to identify the probability distribution for the primordial curvature perturbation with the first-passage-time distribution, P(delta N), and we compare our stochastic results with those obtained in the classical delta N 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.
引用
收藏
页数:31
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