Even redder than we knew: color and $A_{\mathrm{V}}$ evolution up to $z=2.5$ from JWST/NIRCam photometry
A. van der Wel, M. Martorano, D. Marchesini, S. Wuyts, E.F. Bell, S.E. Meidt, A. Gebek, G. Brammer, K. Whitaker, R. Bezanson, E.J. Nelson, G. Rudnick, M. Kriek, J. Leja, J.S. Dunlop, C. Casey, J. Kartaltepe

TL;DR
This study uses JWST/NIRCam data to analyze galaxy color evolution up to redshift 2.5, revealing significant dust attenuation increases in massive galaxies over cosmic time, with implications for understanding galaxy evolution.
Contribution
It provides the first detailed analysis of the evolution of galaxy dust attenuation and color distributions up to z=2.5 using JWST data, highlighting the importance of improved photometry.
Findings
Red V-J colors in massive galaxies increase with redshift, indicating more dust attenuation.
Dust attenuation A_V reaches 1.5-3.5 at z≈2 for massive galaxies.
Optical-near-IR color distribution evolves strongly, while UV-optical colors change little.
Abstract
JWST/NIRCam provides rest-frame near-IR photometry of galaxies up to with exquisite depth and accuracy. This affords an unprecedented view of the evolution of the UV-optical-near-IR color distribution and its interpretation in terms of the evolving dust attenuation, . We use the value-added data products (photometric redshift, stellar mass, rest-frame and colors, and ) provided by the public DAWN JWST Archive. This data product derives from fitting the spectral energy distributions obtained from multiple NIRCam imaging surveys, augmented with pre-existing HST imaging data. Our sample consists of a stellar mass complete sample of galaxies in the redshift range . The color distribution of star-forming galaxies evolves strongly, in particular for high-mass galaxies ($M_\star>3\times…
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.
