Using GAMA to probe the impact of small-scale galaxy physics on
  nonlinear redshift-space distortions
  We present improved modelling of the redshift-space distortions 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 generalised
halo model with an MCMC algorithm, comparing the predictions to data from the
Galaxy And Mass Assembly (GAMA) 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.
