Calibrating non-parametric morphological indicators from {\it JWST} images for galaxies over $0.5<z<3$
Jian Ren, F. S. Liu, Nan Li, Qifan Cui, Pinsong Zhao, Yubin Li, Qi, Song, Hassen M. Yesuf, Xian Zhong Zheng

TL;DR
This study calibrates non-parametric morphological indicators of galaxies from JWST images using TNG50 simulations, revealing wavelength, redshift, and stellar mass dependencies, and demonstrating the simulations' effectiveness in reproducing observed galaxy morphologies.
Contribution
It introduces a calibration method for morphological indicators from JWST data based on TNG50 simulations, accounting for observational effects and dust attenuation.
Findings
Morphological indicators vary significantly with rest-frame wavelength below 1 μm.
Quiescent and star-forming galaxies show distinct morphological differences.
TNG50 simulations match JWST observations when dust effects are included.
Abstract
The measurements of morphological indicators of galaxies are often influenced by a series of observational effects. In this study, we utilize a sample of over 800 TNG50 simulated galaxies with log(/M) at to investigate the differences in non-parametric morphological indicators (, , , , , and ) derived from noise-free and high-resolution TNG50 images and mock images simulated to have the same observational conditions as {\it JWST}/NIRCam. We quantify the relationship between intrinsic and observed values of the morphological indicators and accordingly apply this calibration to over 4600 galaxies in the same stellar mass and redshift ranges observed in {\it JWST} CEERS and JADES surveys. We find a significant evolution of morphological indicators with rest-frame wavelength () at $\lambda_{\rm…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Adaptive optics and wavefront sensing · Statistical and numerical algorithms
