Testing the Detection Significance on the Large Scale Structure by a JWST Deep Field Survey
Hao Zhang, Daniel J. Eisenstein, Lehman H. Garrison, and Douglas W., Ferrer

TL;DR
This study uses large-scale N-body simulations to predict the clustering of high-redshift galaxy-hosting halos, indicating that JWST surveys could detect their clustering with relatively small samples due to strong bias.
Contribution
It provides the first detailed prediction of high-redshift halo clustering at z=8-10 using a 130-billion-particle simulation with new initial condition corrections and Planck cosmology.
Findings
High bias factors (5-30) for halos hosting JWST-detectable galaxies.
Correlation lengths comparable to present-day galaxies (5-10 Mpc/h).
Potential for clustering detection with small survey sizes (25 Mpc/h) and 500-1000 objects.
Abstract
In preparation for deep extragalactic imaging with the James Webb Space Telescope, we explore the clustering of massive halos at and using a large N-body simulation. We find that halos with masses to , which are those expected to host galaxies detectable with JWST, are highly clustered with bias factors ranging from 5 and 30 depending strongly on mass, as well as on redshift and scale. This results in correlation lengths of 5--10, similar to that of today's galaxies. Our results are based on a simulation of 130 billion particles in a box of size using our new high-accuracy ABACUS simulation code, the corrections to cosmological initial conditions of (Garrison et al. 2016, 2016MNRAS.461.4125G), and the Planck 2015 cosmology. We use variations between sub-volumes to estimate the detectability of the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Remote Sensing in Agriculture · Astrophysics and Cosmic Phenomena
