An accurate perturbative approach to redshift space clustering of biased
  tracers in modified gravity
  We extend the scale-dependent Gaussian Streaming Model (GSM) to produce
analytical predictions for the anisotropic redshift-space correlation function
for biased tracers in modified gravity models.
  Employing the Convolution Lagrangian Perturbation Theory (CLPT) re-summation
scheme, with a local Lagrangian bias schema provided by the peak-background
split formalism, we predict the necessary ingredients that enter the GSM, the
real-space halo pairwise velocity and the pairwise velocity dispersion. We
further consider effective field theory contributions to the pairwise velocity
dispersion in order to model correctly its large scale behavior. We apply our
method on two widely-considered modified gravity models, the chameleon-screened
f(R) Hu-Sawicki model and the nDGP Vainshtein model and compare our predictions
against state-of-the-art N-body simulations for these models.
  We demonstrate that the GSM approach to predict the monopole and the
quadrupole of the redshift-space correlation function for halos, gives very
good agreement with the simulation data, for a wide range of screening
mechanisms, levels of screening and halo masses at z=0.5 and z=1. Our work
shows the applicability of the GSM, for cosmologies beyond GR, demonstrating
that it can serve as a powerful predictive tool for the next stage of
cosmological surveys like DESI, Euclid, LSST and WFIRST.
