Hybrid Pℓ(k): general, unified, non-linear matter power spectrum in redshift space

Constraints on gravity and cosmology will greatly benefit from performing joint and weak lensing analyses on large-scale structure data sets. Utilising non-linear coming from small physical scales can greatly enhance these constraints. At the of these analyses is the matter power spectrum. Here we employ a simple method, “Hybrid P` (k) ”, based on the Gaussian Streaming Model (GSM), to calculate the non-linear redshift space matter power spectrum multipoles. This employs a fully nonlinear and theoretically general prescription for the matter power spectrum. We test this against comoving Lagrangian acceleration simulation measurements performed in, DGP and f (R) gravity and find that our method performs comparably or better to the matter TNS redshift space power spectrum model for dark matter. When comparing redshift space multipoles for halos, we find that the Gaussian approximation of the GSM a linear bias and a free stochastic term, N, is competitive to the TNS model. Our offers many avenues for improvement in accuracy as well as further unification the halo model.