학술논문

Clustering in massive neutrino cosmologies via Eulerian perturbation theory
Document Type
Electronic Resource
Author
Source
Journal of Cosmology and Astroparticle Physics; vol 2021, iss 11, 028-028; 1475-7516
Subject
cosmological neutrinos
dark matter theory
power spectrum
Astronomical and Space Sciences
Atomic
Molecular
Nuclear
Particle and Plasma Physics
Nuclear & Particles Physics
article
Language
Abstract
We introduce an Eulerian Perturbation Theory to study the clustering of tracers for cosmologies in the presence of massive neutrinos. Our approach is based on mapping recently-obtained Lagrangian Perturbation Theory results to the Eulerian framework. We add Effective Field Theory counterterms, IR-resummations and a biasing scheme to compute the one-loop redshift-space power spectrum. To assess our predictions, we compare the power spectrum multipoles against synthetic halo catalogues from the Quijote simulations, finding excellent agreement on scales k . 0.25 hMpc−1. One can obtain the same fitting accuracy using higher wave-numbers, but then the theory fails to give a correct estimation of the linear bias parameter. We further discuss the implications for the tree-level bispectrum. Finally, calculating loop corrections is computationally costly, hence we derive an accurate approximation wherein we retain only the main features of the kernels, as produced by changes to the growth rate. As a result, we show how FFTLog methods can be used to further accelerate the loop computations with these reduced kernels.