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Biased tracers as a probe of beyond-ΛCDM cosmologies

Hassani, Farbod; Adamek, Julian; Durrer, Ruth; Kunz, Martin (2022). Biased tracers as a probe of beyond-ΛCDM cosmologies. Astronomy and Astrophysics, 668:A56.

Abstract

Cosmological models beyond ΛCDM, such as those featuring massive neutrinos or modifications of gravity, often display a characteristic change (scale-dependent suppression or enhancement) in the matter power spectrum when compared to a six-parameter ΛCDM baseline. It is therefore a widely held view that constraints on those models can be obtained by searching for such features in the clustering statistics of large-scale structure. However, when using biased tracers of matter in the analysis, the situation is complicated by the fact that the bias also depends on cosmology. Here we investigate how the selection of tracers affects the observed signatures for two examples of beyond-ΛCDM cosmologies: massive neutrinos and clustering dark energy (k-essence). We study the signatures in the monopole, quadrupole, and hexadecapole of the redshift-space power spectra for halo catalogues from large N-body simulations and argue that a fixed selection criterion based on local attributes, such as tracer mass, leads to a near loss of signal in most cases. Instead, the full signal is recovered only if the selection of tracers is done at fixed bias. This emphasises the need to model or measure the bias parameters accurately in order to get meaningful constraints on the cosmological model.

Key words: large-scale structure of Universe / dark energy / methods: numerical / methods: statistical

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Astrophysics
Dewey Decimal Classification:530 Physics
Uncontrolled Keywords:Space and Planetary Science, Astronomy and Astrophysics
Language:English
Date:1 December 2022
Deposited On:02 Dec 2022 14:00
Last Modified:25 Feb 2025 02:37
Publisher:EDP Sciences
ISSN:0004-6361
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1051/0004-6361/202244405
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  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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