Including beyond-linear halo bias in halo models

ABSTRACT We derive a simple prescription for including beyond-linear halo bias within the standard, analytical halo-model power spectrum calculation. This results in corrective term that is added to usual two-halo term. measure this correction using data from N-body simulations and demonstrate it can boost by factor of ∼2 at scales $k\sim 0.7\, h\mathrm{Mpc}^{-1}$, with exact magnitude determined specific pair fields two-point function. How translates full depends on relative strength one-halo term, which mask importance greater or lesser degree, again depending fields. Generally, we find our more important signals arise lower mass haloes. When comparing calculation simulated data, underprediction transition region between two- terms, typically plagues calculations, almost completely eliminated when non-linear bias. show improved autospectra cross-spectra galaxies, haloes, matter. In case matter–matter matter–halo power, note large fraction improvement comes biasing low- high-mass envisage model being useful modelling cross-correlation signals. Our code available https://github.com/alexander-mead/BNL.