English

The two-loop bispectrum of large-scale structure

Cosmology and Nongalactic Astrophysics 2022-01-12 v1 High Energy Physics - Phenomenology

Abstract

The bispectrum is the leading non-Gaussian statistic in large-scale structure, carrying valuable information on cosmology that is complementary to the power spectrum. To access this information, we need to model the bispectrum in the weakly non-linear regime. In this work we present the first two-loop, i.e., next-to-next-to-leading order perturbative description of the bispectrum within an effective field theory (EFT) framework. Using an analytic expansion of the perturbative kernels up to F6F_6 we derive a renormalized bispectrum that is demonstrated to be independent of the UV cutoff. We show that the EFT parameters associated with the four independent second-order EFT operators known from the one-loop bispectrum are sufficient to absorb the UV sensitivity of the two-loop contributions in the double-hard region. In addition, we employ a simplified treatment of the single-hard region, introducing one extra EFT parameter at two-loop order. We compare our results to N-body simulations using the realization-based grid-PT method and find good agreement within the expected range, as well as consistent values for the EFT parameters. The two-loop terms start to become relevant at k0.07h Mpc1k\approx 0.07h~\mathrm{Mpc}^{-1}. The range of wavenumbers with percent-level agreement, independently of the shape, extends from 0.08h Mpc10.08h~\mathrm{Mpc}^{-1} to 0.15h Mpc10.15h~\mathrm{Mpc}^{-1} when going from one to two loops at z=0z=0. In addition, we quantify the impact of using exact instead of Einstein-de-Sitter kernels for the one-loop bispectrum, and discuss in how far their impact can be absorbed into a shift of the EFT parameters.

Keywords

Cite

@article{arxiv.2110.13930,
  title  = {The two-loop bispectrum of large-scale structure},
  author = {Tobias Baldauf and Mathias Garny and Petter Taule and Theo Steele},
  journal= {arXiv preprint arXiv:2110.13930},
  year   = {2022}
}

Comments

34 pages, 17 figures

R2 v1 2026-06-24T07:12:38.803Z