Redshifting galaxies from DESI to JWST CEERS: Correction of biases and uncertainties in quantifying morphology
Si-Yue Yu, Cheng Cheng, Yue Pan, Fengwu Sun, and Yang A. Li

TL;DR
This study quantifies and corrects biases in galaxy morphological measurements caused by redshift and PSF effects, improving the accuracy of high-redshift galaxy analysis with JWST data.
Contribution
We developed correction functions for morphological biases due to PSF and resolution effects, validated on simulated CEERS images, enhancing the reliability of galaxy morphology measurements at high redshift.
Findings
Non-parametric radii are slightly overestimated due to PSF smoothing.
Model-fit parameters like $R_{50}$, $q$, and $n$ show minimal bias.
Bias correction functions effectively recover intrinsic morphological parameters.
Abstract
Observations of high-redshift galaxies with unprecedented detail have now been rendered possible with JWST. However, accurately quantifying their morphology remains uncertain due to potential biases and uncertainties. To address this issue, we used a sample of 1816 nearby DESI galaxies, with a mass range of , to compute artificial images of galaxies of the same mass located at and observed at rest-frame optical wavelength in CEERS. We analyzed the effects of cosmological redshift on the measurements of Petrosian radius (), half-light radius (), asymmetry (), concentration (), axis ratio (), and S\'ersic index (). Our results show that and , calculated using non-parametric methods, are slightly overestimated due to PSF smoothing, while , , and obtained through model fitting does not exhibit…
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Taxonomy
TopicsStatistical and numerical algorithms · Astronomy and Astrophysical Research · Statistics Education and Methodologies
