Near-IR clumps and their properties in high-z galaxies with JWST/NIRCam
Boris S. Kalita, John D. Silverman, Emanuele Daddi, Wilfried Mercier,, Luis C. Ho, Xuheng Ding

TL;DR
This study uses JWST/NIRCam near-infrared imaging to identify and analyze stellar clumps in high-redshift galaxies, revealing their properties, distribution, and relation to galaxy classification, with implications for galaxy evolution.
Contribution
It introduces a stellar-mass based clump detection method in near-IR, providing new insights into clump properties and their distribution in $z>1$ galaxies, independent of UV-based methods.
Findings
Near-IR detects more and different clumps than UV, with only 28% overlap.
85% of UV clumps have near-IR counterparts, indicating a strong correlation.
Clump masses range from 10^{7.5} to 10^{9.5} solar masses, influencing galaxy core gas inflow.
Abstract
Resolved stellar morphology of galaxies was inaccessible before JWST. This limitation, due to the impact of dust on rest-frame UV light, had withheld major observational conclusions required to understand the importance of clumps in galaxy evolution. Essentially independent of this issue, we use the rest-frame near-IR for a stellar-mass dependent clump detection method and determine reliable estimations of selection effects. We exploit publicly available JWST/NIRCam and HST/ACS imaging data from CEERS, to create a stellar-mass based picture of clumps in a mass-complete sample of 418 galaxies within a wide wavelength coverage of m and a redshift window of . We find that a near-IR detection gives access to a larger, and possibly different, set of clumps within galaxies, with those also detected in UV making up only . Whereas, of the UV clumps…
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Taxonomy
TopicsAstronomy and Astrophysical Research · CCD and CMOS Imaging Sensors · Real-time simulation and control systems
