Evolution of Non-parametric Morphology of Galaxies in the JWST CEERS Field at $z\simeq$0.8-3.0
Yao Yao, Jie Song, Xu Kong, Guanwen Fang, Hong-Xin Zhang, Xinkai Chen

TL;DR
This study analyzes how galaxy morphology measurements from JWST data vary with wavelength and resolution across redshifts 0.8 to 3.0, revealing biases in classification and differences in galaxy evolution based on mass.
Contribution
It provides a comprehensive analysis of wavelength and resolution effects on non-parametric galaxy morphology parameters using JWST data, highlighting implications for galaxy classification and evolution.
Findings
Morphological parameters vary with rest-frame wavelength, especially at shorter wavelengths.
Spatial resolution significantly impacts merger identification, with higher resolution detecting more mergers.
High- and low-mass galaxies show different morphological evolution patterns across redshifts.
Abstract
Galaxy morphology is one of the most fundamental ways to describe galaxy properties, but the morphology we observe may be affected by wavelength and spatial resolution, which may introduce systematic bias when comparing galaxies at different redshift. Taking advantage of the broad wavelength coverage from optical to near-IR and high resolution NIRCam instrument of JWST, we measure the non-parametric morphological parameters of a total of 1376 galaxies at 0.8-3.0 in the CEERS field through an optimized code called {\tt\string statmorph\_csst}. We divide our sample into three redshift intervals and investigate the wavelength- and redshift-dependence of the morphological parameters. We also explore how the widely-used galaxy type classification methods based on the morphological parameters depend on wavelength and spatial resolution. We find that there are variations in all…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Adaptive optics and wavefront sensing
