Morphological Classification of Local Luminous Infrared Galaxies
A. Psychogyios, V. Charmandaris, T. Diaz- Santos, L. Armus, S. Haan,, J. Howell, E. Le Floc'h, S. M. Petty, A. S. Evans

TL;DR
This study analyzes the morphological features of 89 luminous infrared galaxies across multiple wavelengths using non-parametric coefficients, revealing that $M_{20}$ effectively distinguishes merger stages and highlighting the importance of wavelength in morphological classification.
Contribution
The paper introduces a multi-wavelength approach using $Gini$ and $M_{20}$ coefficients to improve morphological classification and merger identification in LIRGs, emphasizing the effectiveness of $M_{20}$ especially in the H-band.
Findings
$M_{20}$ better distinguishes merger stages than $Gini$.
H-band measurements identify ongoing mergers with minimal contamination.
Star formation rate correlates differently with $M_{20}$ depending on wavelength.
Abstract
We present an analysis of the morphological classification of 89 luminous infrared galaxies (LIRGs) from the Great Observatories All-sky LIRG Survey (GOALS) sample using non-parametric coefficients and compare their morphology as a function of wavelength. We rely on images obtained in the optical (B- and I-band) as well as in the infrared (H-band and 5.8m). Our classification is based on the calculation of and the second order of light () non-parametric coefficients which we explore as a function of stellar mass (), infrared luminosity () and star formation rate (SFR). We investigate the relation between , the specific SFR (sSFR) and the dust temperature () in our galaxy sample. We find that is a better morphological tracer than , as it allows to distinguish systems formed by double systems from isolated and…
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