4.7 Article

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

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 493, Issue 1, Pages 586-593

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa270

Keywords

large-scale structure of Universe; cosmology: theory

Funding

  1. Spanish Ministry of Economy and Competitiveness (MINECO) [AYA2012-39702-C02-01]
  2. Spanish Ministry of Economy and Competitiveness (MINECO) under the Severo Ochoa program [SEV-2015-0548]
  3. MINECO/FEDER [AYA2015-63810-P, PGC2018-094975-C21]
  4. European Research Council [ERC-StG/716151]
  5. [RYC2015-18693]
  6. [SEV-20150548]
  7. [AYA2017-89891-P]

Ask authors/readers for more resources

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 similar to 10(8) M-circle dot 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 = h 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available