First light and reionization epoch simulations (Flares) X: environmental galaxy bias and survey variance at high redshift

Author:

Thomas Peter A1ORCID,Lovell Christopher C2ORCID,Maltz Maxwell G A1,Vijayan Aswin P3ORCID,Wilkins Stephen M1ORCID,Irodotou Dimitrios4ORCID,Roper William J1ORCID,Seeyave Louise1

Affiliation:

1. Astronomy Centre, University of Sussex , Falmer, Brighton BN1 9QH, UK

2. Institute of Cosmology and Gravitation, University of Portsmouth , Burnaby Road, Portsmouth, PO1 3FX, UK

3. Cosmic Dawn Center (DAWN), DTU-Space, Technical University of Denmark , Elektrovej 327, DK-2800 Kgs. Lyngby, Denmark

4. Department of Physics, University of Helsinki , Gustaf Hällströmin katu 2, FI-00014 Helsinki, Finland

Abstract

ABSTRACT Upcoming deep galaxy surveys with JWST will probe galaxy evolution during the epoch of reionization (EoR, 5 ≤ z ≤ 10) over relatively compact areas (e.g. ∼300 arcmin2 for the JADES GTO survey). It is therefore imperative that we understand the degree of survey variance to evaluate how representative the galaxy populations in these studies will be. We use the First Light And Reionization Epoch Simulations (Flares) to measure the galaxy bias of various tracers over an unprecedentedly large range in overdensity for a hydrodynamic simulation, and use these relations to assess the impact of bias and clustering on survey variance in the EoR. Star formation is highly biased relative to the underlying dark matter distribution, with the mean ratio of the stellar to dark matter density varying by a factor of 100 between regions of low and high matter overdensity (smoothed on a scale of 14 h−1 cMpc). This is reflected in the galaxy distribution – the most massive galaxies are found solely in regions of high overdensity. As a consequence of the above, galaxies in the EoR are highly clustered, which can lead to a large variance in survey number counts. For mean number counts N ≲ 100 (1000), in a unit redshift slice of angular area 300 arcmin2 (1.4 deg2), the 2σ range in N is roughly a factor of four (two). We present relations between the expected variance and survey area for different survey geometries; these relations will be of use to observers wishing to understand the impact of survey variance on their results.

Funder

BEIS

STFC

Durham University

University of Portsmouth

European Research Council

Carlsberg Foundation

Danish National Research Foundation

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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