Litcius/Paper detail

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

Marcos Pellejero-Ibáñez, A. Balaguera-Antolínez, Francisco-Shu Kitaura, Raúl E. Angulo, Gustavo Yepes, Chia-Hsun Chuang, Guillermo Reyes-Peraza, Mathieu Autefage, Mohammadjavad Vakili, Cheng Zhao

2020Monthly Notices of the Royal Astronomical Society21 citationsDOIOpen Access PDF

Abstract

ABSTRACT We present a comparison between approximated methods for the construction of mock catalogues based on the halo-bias mapping technique. To this end, we use as reference a high-resolution N-body simulation of 38403 dark matter particles on a 400 h−1 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 $\sim 10^8\, {\rm M}_{\odot }\, h^{-1}$ 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 $k=1\, h\, {\rm Mpc}^{-1}$, 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.

Topics & Concepts

PhysicsBispectrumHaloDark matterParametric statisticsAstrophysicsSpectral densityOscillation (cell signaling)BaryonCosmologyStatistical physicsAlgorithmStatisticsComputer scienceGalaxyMathematicsGeneticsBiologyGalaxies: Formation, Evolution, PhenomenaDark Matter and Cosmic PhenomenaCosmology and Gravitation Theories