The pairwise velocity probability density function in models with local primordial non-Gaussianity

8Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We study how primordial non-Gaussianity affects the pairwise velocity probability density function (PDF) using an analytical model and cosmological N-body simulations. We adopt the local type non-Gaussian models characterized by fnl, and examine both the linear velocity difference PDF and the linear pairwise velocity PDF. We show explicitly how fnl induces correlations between originally independent velocities along the parallel and the perpendicular to the line of separation directions. We compare the model results with measurements from N-body simulations of the non-Gaussian models. Linear theory fails to predict the PDF in the fnl models. Therefore, we develop an analytic model based on the Zeldovich approximation to describe the evolution of the velocity PDF. Our analytical model and simulation results show remarkably good agreement in both the parallel and the perpendicular directions for the PDF profiles, as well as the change in the PDF due to primordial non-Gaussianity. The agreement is particularly good for relatively small separations (<10h-1Mpc). The inclusion of the evolution of the velocity PDF is important to obtain a good description on the signature of primordial non-Gaussianity in the PDF. Our model provides the foundation to constrain fnl using the peculiar velocity in future surveys. © 2011 The Authors Monthly Notices of the Royal Astronomical Society © 2011 RAS.

Cite

CITATION STYLE

APA

Lam, T. Y., Nishimichi, T., & Yoshida, N. (2011). The pairwise velocity probability density function in models with local primordial non-Gaussianity. Monthly Notices of the Royal Astronomical Society, 414(1), 289–303. https://doi.org/10.1111/j.1365-2966.2011.18390.x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free