Massive Dark Matter Halos at High Redshift: Implications for Observations in the JWST Era [GA]

http://arxiv.org/abs/2304.13890


Recent observations made by the JWST have revealed a number of massive galaxies at high redshift ($z$). The presence of these galaxies appears at odds with the current $\Lambda$CDM cosmology. Here we investigate the possibility of alleviating the tension by incorporating uncertainties from three sources in counting massive galaxies at high $z$: cosmic variance, error in stellar mass estimate, and contribution by backsplash. We find that each of the sources can significantly increase the cumulative stellar mass density $\rho_(>M_)$ at the high-mass end, and the combination of them can boost the density by more than one order of magnitude. Assuming a star formation efficiency of $\epsilon_* \sim 0.5$, cosmic variance alone can reduce the tension to $2\sigma$ level, except the most massive galaxy at $z=8$. Including in addition a lognormal dispersion with a width of 0.3 dex in the stellar mass can bring the observed stellar mass density at $z \sim 7 – 10$ to the $2\sigma$ range of the cosmic variance. The tension is completely eliminated when gas stripped from backsplash halos is also taken into account. Our results highlight the importance of fully modeling uncertainties when interpreting observational data of rare objects. We use the constrained simulation, ELUCID, to investigate the descendants of high $z$ massive galaxies. We find that a significant portion of these galaxies end up in massive halos with mass $M_{\rm halo} > 10^{13} h^{-1}M_\odot $ at $z=0$. A large fraction of central galaxies in $M_{\rm halo} \geqslant 10^{14.5} h^{-1}M_\odot$ halos today are predicted to contain significant amounts of ancient stars formed in massive galaxies at $z\sim 8$. This prediction can be tested by studying the structure and stellar population of central galaxies in present-day massive clusters.

Read this paper on arXiv…

Y. Chen, H. Mo and K. Wang
Fri, 28 Apr 23
3/68

Comments: 17 pages, 14 figures, MNRAS submitted