Redshift-space distortions in Lagrangian perturbation theory

We present the one-loop 2-point function of biased tracers in redshift space computed with Lagrangian perturbation theory, including a full resummation of both long-wavelength (infrared) displacements and associated velocities. The resulting model accurately predicts the power spectrum and correlation function of halos and mock galaxies from two different sets of N-body simulations at the percent level for quasi-linear scales, including the damping of the baryon acoustic oscillation signal due to the bulk motions of galaxies. We compare this full resummation with other, approximate, techniques including the moment expansion and Gaussian streaming model. We discuss infrared resummation in detail and compare our Lagrangian formulation with the Eulerian theory augmented by an infrared resummation based on splitting the input power spectrum into wiggle and no-wiggle components. We show that our model is able to recover unbiased cosmological parameters in mock data encompassing a volume much larger than what will be available to future galaxy surveys. We demonstrate how to efficiently compute the resulting expressions numerically, making available a fast Python code capable of rapidly computing these statistics in both configuration and Fourier space.

Automated summary

In this study, a method for computing the one-loop 2-point function of biased tracers in redshift space is presented using Lagrangian perturbation theory, with a full resummation of long-wavelength displacements and velocities. The model accurately predicts the power spectrum and correlation function of halos and mock galaxies, including baryon acoustic oscillation signal damping due to bulk galaxy motions. The study also compares this full resummation approach with other techniques and discusses the computation of resulting expressions numerically for efficient computation.