Remapping simulated halo catalogues in redshift space

We discuss the extension to redshift space of a rescaling algorithm, designed to alter the effective cosmology of a pre-existing simulated particle distribution or catalogue of dark matter haloes. The rescaling approach was initially developed by Angulo & White and was adapted and applied to halo catalogues in real space in our previous work. This algorithm requires no information other than the initial and target cosmological parameters, and it contains no tuned parameters. It is shown here that the rescaling method also works well in redshift space, and that the rescaled simulations can reproduce the growth rate of cosmological density fluctuations appropriate for the target cosmology. Even when rescaling a grossly nonstandard model with Lambda = 0 and zero baryons, the redshift-space power spectrum of standard Lambda cold dark matter can be reproduced to about 5 per cent error for k <0.2 h Mpc(-1). The ratio of quadrupole-to-monopole power spectra remains correct to the same tolerance up to k = 1 h Mpc(-1), provided that the input halo catalogue contains measured internal velocity dispersions.