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An analytic model for redshift-space distortions

2013/06/30 by Lile Wang, Beth Reid, Martin White · 6 citations
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Advanced Vision and Imaging #Astronomy #Astrophysics #Galaxy #Optical measurement and interference techniques #Physics #Redshift #Redshift survey #Redshift-space distortions #Space (punctuation) #astro-ph.CO

paper · pdf · doi:10.1093/mnras/stt1916

12 pages, 12 figures. Minor modifications to match version accepted by MNRAS

arxiv created 2013/10/09 · openalex publication_date 2013/11/07 · arxiv updated 2015/06/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

Understanding the formation and evolution of large-scale structure is a central problem in cosmology and enables precise tests of General Relativity on cosmological scales and constraints on dark energy. An essential ingredient is an accurate description of the pairwise velocities of biased tracers of the matter field. In this paper, we compute the first and second moments of the pairwise velocity distribution by extending the convolution Lagrangian perturbation theory (CLPT) formalism of Carlson et al. Our predictions outperform standard perturbation theory calculations in many cases when compared to statistics measured in N-body simulations. We combine the CLPT predictions of real-space clustering and velocity statistics in the Gaussian streaming model of Reid & White to obtain predictions for the monopole and quadrupole correlation functions accurate to 2 and 4 per cent, respectively, down to <25 h−1 Mpc for haloes hosting the massive galaxies observed by SDSS-III BOSS. We also discuss contours of the 2D correlation function and clustering ‘wedges’. We generalize the scheme to cross-correlation functions.

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