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

Author:

Tonegawa Motonari1ORCID,Appleby Stephen12ORCID,Park Changbom3ORCID,Hong Sungwook E45ORCID,Kim Juhan6ORCID

Affiliation:

1. Asia Pacific Center for Theoretical Physics , Pohang 37673 , Korea

2. Department of Physics , POSTECH, Pohang 37673 , Korea

3. School of Physics, Korea Institute for Advanced Study , 85 Hoegiro, Dongdaemun-gu, Seoul 02455 , Korea

4. Korea Astronomy and Space Science Institute , 776 Daedeok-daero, Yuseong-gu, Daejeon 34055 , Republic of Korea

5. Astronomy Campus, University of Science and Technology , 776 Daedeok-daero, Yuseong-gu, Daejeon 34055 , Republic of Korea

6. Center for Advanced Computation, Korea Institute for Advanced Study , 85 Hoegiro, Dongdaemun-gu, Seoul 02455 , Korea

Abstract

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 $\delta _{\rm L}^4$, compared to $\delta _{\rm L}^2$ of the linear velocity correlation function, and have the opposite sign. We present these terms up to $\delta _{\rm L}^4$ 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 fσ8, using N-body simulations. We find that for a next-generation PV survey of volume $\sim {\cal O}(500 \, h^{-1} \, {\rm Mpc})^3$, these effects amount to a shift of fσ8 by ∼10 per cent and is comparable to the forecasted statistical error when the minimum scale used for parameter estimation is $r_{\rm min} = 20 \, h^{-1} \, {\rm Mpc}$.

Funder

National Research Foundation of Korea

MSIT

Publisher

Oxford University Press (OUP)

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