Published July 1, 2020 | Version v1
Journal article

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

  • 1. Department of Physics, University of California, Berkeley, CA 94720 (United States)
  • 2. Theory Department, CERN, CH-1211 Geneve 23 (Switzerland)

Description

The peculiar velocities of biased tracers of the cosmic density field contain important information about the growth of large scale structure and generate anisotropy in the observed clustering of galaxies. Using N-body data, we show that velocity expansions for halo redshift-space power spectra are converged at the percent-level at perturbative scales for most line-of-sight angles μ when the first three pairwise velocity moments are included, and that the third moment is well-approximated by a counterterm-like contribution. We compute these pairwise-velocity statistics in Fourier space using both Eulerian and Lagrangian one-loop perturbation theory using a cubic bias scheme and a complete set of counterterms and stochastic contributions. We compare the models and show that our models fit both real-space velocity statistics and redshift-space power spectra for both halos and a mock sample of galaxies at sub-percent level on perturbative scales using consistent sets of parameters, making them appealing choices for the upcoming era of spectroscopic, peculiar-velocity and kSZ surveys.

Availability note (English)

Available from http://dx.doi.org/10.1088/1475-7516/2020/07/062

Additional details

Publishing Information

Journal Title
Journal of Cosmology and Astroparticle Physics
Journal Volume
2020
Journal Issue
07
Journal Page Range
p. 062
ISSN
1475-7516

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52081683
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ANISOTROPY; COMPUTERIZED SIMULATION; DENSITY; GALAXIES; LAGRANGIAN FUNCTION; PERTURBATION THEORY; RED SHIFT; SPECTRA; STOCHASTIC PROCESSES; VELOCITY
Descriptors DEC
FUNCTIONS; PHYSICAL PROPERTIES; SIMULATION