Modeling features in the redshift-space halo power spectrum with
  perturbation theory
  We study the ability of perturbative models with effective field theory
contributions and infra-red resummation to model the redshift space clustering
of biased tracers in models where the linear power spectrum has "features" --
either imprinted during inflation or induced by non-standard expansion
histories. We show that both Eulerian and Lagrangian perturbation theory are
capable of reproducing the Fourier space two-point functions of halos up to the
non-linear scale from a suite of $4096^3$ particle N-body simulations. This is
the first demonstration that perturbative models can accurately fit the
redshift-space clustering of biased tracers in N-body simulations of such
theories. By comparing different theoretical models and IR resummation schemes
we assess the current theoretical uncertainty in predicting power spectra for
models with features. Our results suggest that future surveys will be able to
detect or tightly constrain features in the primordial spectrum below the one
percent level across a wide range of scales.
