The bias of dark matter tracers: assessing the accuracy of mapping techniques

Abstract

We present a comparison between approximated methods for the construction of mock catalogs based on the halo-bias mapping technique. To this end, we use as reference a high resolution $N$-body simulation of 3840${}^3$ dark matter particles on a 400$h^{-1}\mathrm{Mpc}$ cube box from the Multidark suite. In particular, we explore parametric versus non-parametric bias mapping approaches and compare them at reproducing the halo distribution in terms of the two and three point statistics down to $\sim 10^8{\mathrm{M}}_{\odot }{h}^{-1}$ halo masses. Our findings demonstrate that the parametric approach remains inaccurate even including complex deterministic and stochastic components. On the contrary, the non-parametric one is indistinguishable from the reference $N$-body calculation in the power-spectrum beyond $k=1h{\mathrm{Mpc}}^{-1}$, and in the bispectrum for typical configurations relevant to baryon acoustic oscillation analysis. We conclude, that approaches which extract the full bias information from $N$-body simulations in a non-parametric fashion are ready for the analysis of the new generation of large scale structure surveys.

8 pages, 11 figures, 1 table

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• Gaussian Lagrangian Galaxy Bias
• Differentiable Fuzzy Cosmic-Web for Field Level Inference