On The Robustness of z=0-1 Galaxy Size Measurements Through Model and Non-Parametric Fits
Moein Mosleh, Rik J. Williams, Marijn Franx

TL;DR
This study compares various galaxy size measurement techniques, identifies the most robust methods, and examines the impact of redshift-related systematics on size estimates, revealing that non-parametric and two-component Sersic methods are most reliable.
Contribution
It introduces a comprehensive analysis of size measurement techniques, highlighting the robustness of non-parametric and two-component Sersic methods for galaxy size estimation.
Findings
Non-parametric and two-component Sersic methods yield the most robust galaxy sizes.
Single Sersic fits tend to overestimate sizes, especially for massive early-type galaxies.
Systematic effects at z~1 are negligible, with single Sersic fits being more reliable at high redshift.
Abstract
We present the size-stellar mass relations of nearby (z=0.01-0.02) Sloan Digital Sky Survey galaxies, for samples selected by color, morphology, Sersic index n, and specific star formation rate. Several commonly employed size measurement techniques are used, including single Sersic fits, two-component Sersic models, and a non-parametric method. Through simple simulations, we show that the non-parametric and two-component Sersic methods provide the most robust effective radius measurements, while those based on single Sersic profiles are often overestimates, especially for massive red/early-type galaxies. Using our robust sizes, we show for all sub-samples that the mass-size relations are shallow at low stellar masses and steepen above ~ 3-4 x 10^{10}\msun. The mass-size relations for galaxies classified as late-type, low-n, and star-forming are consistent with each other, while blue…
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