Using GAMA to probe the impact of small-scale galaxy physics on nonlinear redshift-space distortions

Shadab Alam, John A. Peacock, Daniel J. Farrow, J. Loveday, A. M. Hopkins

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

We present improved modelling of the redshift-space distortions (RSDs) of galaxy clustering that arise from peculiar velocities. We create mock galaxy catalogues in the framework of the halo model, using data from the Bolshoi project. These mock galaxy populations are inserted into the haloes with additional degrees of freedom that govern spatial and kinematical biases of the galaxy populations relative to the dark matter. We explore this generalized halo model with an Markov Chain Monte Carlo (MCMC) algorithm, comparing the predictions to data from the Galaxy And Mass Assembly survey, and thus derive one of the first constraints on the detailed kinematic degrees of freedom for satellite galaxies within haloes. With this approach, the distortions of the redshift-space galaxy autocorrelations can be accounted for down to spatial separations close to 10 kpc, opening the prospect of improved RSD measurements of the perturbation growth rate by the inclusion of data from nonlinear scales.
Original languageEnglish
Pages (from-to)59-76
Number of pages18
JournalMonthly Notices of the Royal Astronomical Society
Volume503
Issue number1
DOIs
Publication statusPublished - 2021

Open Access - Access Right Statement

© 2021 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited

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