English

The effects of non-linearity on the growth rate constraint from velocity correlation functions

Cosmology and Nongalactic Astrophysics 2024-03-07 v2

Abstract

The two-point statistics of the cosmic velocity field, measured from galaxy peculiar velocity (PV) surveys, can be used as a dynamical probe to constrain the growth rate of large-scale structures in the universe. Most works use the statistics on scales down to a few tens of Megaparsecs, while using a theoretical template based on the linear theory. In addition, while the cosmic velocity is volume-weighted, the observable line-of-sight velocity two-point correlation is density-weighted, as sampled by galaxies, and therefore the density-velocity correlation term also contributes, which has often been neglected. These effects are fourth order in powers of the linear density fluctuation δL4\delta_{\rm L}^4, compared to δL2\delta_{\rm L}^2 of the linear velocity correlation function, and have the opposite sign. We present these terms up to δL4\delta_{\rm L}^4 in real space based on the standard perturbation theory, and investigate the effect of non-linearity and the density-velocity contribution on the inferred growth rate fσ8f\sigma_8, using NN-body simulations. We find that for a next-generation PV survey of volume O(500h1Mpc)3\sim {\cal O}(500 \, h^{-1} \, {\rm Mpc})^3, these effects amount to a shift of fσ8f\sigma_8 by 10\sim 10 per cent and is comparable to the forecasted statistical error when the minimum scale used for parameter estimation is rmin=20h1Mpcr_{\rm min} = 20 \, h^{-1} \, {\rm Mpc}.

Keywords

Cite

@article{arxiv.2309.14457,
  title  = {The effects of non-linearity on the growth rate constraint from velocity correlation functions},
  author = {Motonari Tonegawa and Stephen Appleby and Changbom Park and Sungwook E. Hong and Juhan Kim},
  journal= {arXiv preprint arXiv:2309.14457},
  year   = {2024}
}

Comments

17 pages, 6 figures. Minor corrections to non-linear calculation in section 2.2, conclusions unchanged. Accepted for publication in MNRAS