The Universe at z>10: Predictions for JWST from the UniverseMachine DR1
Peter Behroozi, Charlie Conroy, Risa H. Wechsler, Andrew Hearin,, Christina C. Williams, Benjamin P. Moster, L. Y. Aaron Yung, Rachel S., Somerville, Stefan Gottl\"ober, Gustavo Yepes, Ryan Endsley

TL;DR
This paper uses the UniverseMachine empirical model to predict galaxy observations at redshifts greater than 10 with JWST, providing realistic galaxy properties and exploring uncertainties in galaxy formation models.
Contribution
It introduces a comprehensive mock galaxy catalog for high redshift predictions using the UniverseMachine, including galaxy properties, clustering, and model uncertainties.
Findings
JWST will likely detect galaxies with stellar masses >10^7 M_sun at z~13.5.
Uncertainties in galaxy number densities increase dramatically beyond z>12.
Faint-end slopes of luminosity functions steepen with redshift, becoming shallower below current detection limits.
Abstract
The James Webb Space Telescope (JWST) is expected to observe galaxies at that are presently inaccessible. Here, we use a self-consistent empirical model, the UniverseMachine, to generate mock galaxy catalogues and lightcones over the redshift range . These data include realistic galaxy properties (stellar masses, star formation rates, and UV luminosities), galaxy-halo relationships, and galaxy-galaxy clustering. Mock observables are also provided for different model parameters spanning observational uncertainties at . We predict that Cycle 1 JWST surveys will very likely detect galaxies with and/or out to at least . Number density uncertainties at expand dramatically, so efforts to detect galaxies will provide the most valuable constraints on galaxy formation models. The faint-end slopes of the stellar…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
