Published February 26, 2024 | Version v1
Journal article Open

Stochastic parameters for scalar fields in de Sitter spacetime

  • 1. Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom

Description

The stochastic effective theory approach, often called stochastic inflation, is widely used in cosmology to describe scalar field dynamics during inflation. The existing formulations are, however, more qualitative than quantitative because the connection to the underlying quantum field theory (QFT) has not been properly established. A concrete sign of this is that the QFT parameters depend on the renormalization scale, and therefore the relation between the QFT and stochastic theory must have explicit scale dependence that cancels it. In this paper we achieve that by determining the parameters of the second-order stochastic effective theory of light scalar fields in de Sitter to linear order in the self-coupling constant λ. This is done by computing equal-time 2-point correlators to one-loop order both in QFT using dimensional regularization and the MS¯ renormalization scheme and the equal-time 4-point correlator to leading order in both theories, and demanding that the results obtained in the two theories agree. With these parameters, the effective theory is valid when mH and λ2m4/H4, and therefore it is applicable in cases where neither perturbation theory nor any previously proposed stochastic effective theories are.

Files

10.1103_PhysRevD.109.045017.pdf

Files (1.3 MB)

Name Size Download all
md5:b489c85ef8ee21c7596faa7f74565f69
1.3 MB Preview Download

Additional details

Identifiers

DOI
10.1103/PhysRevD.109.045017;
arXiv
arXiv:2310.07356;
Crossref Funder ID
10.13039/501100000271;

Publishing Information

Journal Title
Physical Review D
Journal Volume
109
Journal Issue
4
Journal Page Range
27 pgs.
ISSN
1089-4918

Optional Information

Contract/Grant/Project number
ST/T000791/1; ST/X000575/1
Notes
Contact Email: archie.cable18@imperial.ac.uk; Contact Email: a.rajantie@imperial.ac.uk; Record automatically processed
Funding organization
Science and Technology Facilities Council