An Atlas of Color-selected Quiescent Galaxies at $z>3$ in Public $JWST$ Fields

Abstract

We present the results of a systematic search for candidate quiescent galaxies in the distant Universe in eleven $JWST$ fields with publicly available observations collected during the first three months of operations and covering an effective sky area of $\sim 145$ arcmin${}^2$. We homogeneously reduce the new $JWST$ data and combine them with existing observations from the $HubbleSpaceTelescope$. We select a robust sample of $\sim 80$ candidate quiescent and quenching galaxies at $3<z<5$ using two methods: (1) based on their rest-frame $UVJ$ colors, and (2) a novel quantitative approach based on Gaussian Mixture Modeling of the $NUV-U$, $U-V$, and $V-J$ rest-frame color space, which is more sensitive to recently quenched objects. We measure comoving number densities of massive ($M_{\star }\ge 10^{10.6}{M}_{\odot }$) quiescent galaxies consistent with previous estimates relying on ground-based observations, after homogenizing the results in the literature with our mass and redshift intervals. However, we find significant field-to-field variations of the number densities up to a factor of $2-3$, highlighting the effect of cosmic variance and suggesting the presence of overdensities of red quiescent galaxies at $z>3$, as it could be expected for highly clustered massive systems. Importantly, $JWST$ enables the robust identification of quenching/quiescent galaxy candidates at lower masses and higher redshifts than before, challenging standard formation scenarios. All data products, including the literature compilation, are made publicly available.

15 pages, 6 Figures + Appendix. Accepted for publication in ApJ on Feb, 9. Data release: - Reduced HST+JWST mosaics + photometric catalogs and Eazy-py modeling: https://erda.ku.dk/archives/7166d013c1ca1371aac3c57b9e73190d/published-archive.html - Supplementary material and tables: https://zenodo.org/record/7614908#.Y-4ZruzMLmE - MAST: https://doi.org/10.17909/g3nt-a370 - See also Gould et al. 2023