4.7 Article

On decoupling the integrals of cosmological perturbation theory

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 507, Issue 1, Pages 1337-1360

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa1789

Keywords

large-scale structure of Universe; cosmology: theory

Funding

  1. National Aeronautics and Space Administration through Einstein Postdoctoral Fellowship [PF7-180167]
  2. National Aeronautics Space Administration [NAS-803060]
  3. Berkeley Center for Cosmological Physics

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This paper presents a new method to tackle the issue of high-dimensional integrals in perturbation theory, making the computation of higher order corrections more efficient and feasible. The method transforms the calculation of corrections into combinations of independent 1D integrals, and simplifies the integration process using specific techniques.
Perturbation theory (PT) is often used to model statistical observables capturing the translation and rotation-invariant information in cosmological density fields. PT produces higher order corrections by integration over linear statistics of the density fields weighted by kernels resulting from recursive solution of the fluid equations. These integrals quickly become high dimensional and naively require increasing computational resources the higher the order of the corrections. Here, we show how to decouple the integrands that often produce this issue, enabling PT corrections to be computed as a sum of products of independent 1D integrals. Our approach is related to a commonly used method for calculating multiloop Feynman integrals in quantum field theory, the Gegenbauer Polynomial x-Space Technique. We explicitly reduce the three terms entering the 2-loop power spectrum, formally requiring 9D integrations, to sums over successive 1D radial integrals. These 1D integrals can further be performed as convolutions, rendering the scaling of this method N(g)log N-g with N-g the number of grid points used for each fast Fourier transform. This method should be highly enabling for upcoming large-scale structure redshift surveys where model predictions at an enormous number of cosmological parameter combinations will be required by Monte Carlo Markov Chain searches for the best-fitting values.

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