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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
25 Downloads (Pure)


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
Issue number1
Publication statusPublished - 1 May 2021

Bibliographical note

This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society, Volume 503, Issue 1, May 2021, Pages 59–76, Copyright 2021 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.


  • galaxies: statistics
  • gravitation
  • large-scale structure of Universe


Dive into the research topics of 'Using GAMA to probe the impact of small-scale galaxy physics on nonlinear redshift-space distortions'. Together they form a unique fingerprint.

Cite this