Morphologies of SAGAbg low-mass galaxies in Legacy Survey multi-band imaging: dependence on stellar masses, star-formation rates and low-redshift evolution
Joy Bhattacharyya, Guinevere Herron, Yasmeen Asali, Abby Mintz, Mithi A. C. de los Reyes, Yao-Yuan Mao, Annika H. G. Peter
astro-ph.GA
Submitted: 2026-07-17
Comments: 24 pages, 16 figures. Submitted to ApJ
License: http://creativecommons.org/licenses/by/4.0/
The gist: The optical morphologies of low-mass galaxies can be used to directly trace their assembly and constrain models of galaxy evolution.
Terminology
Abstract
The optical morphologies of low-mass galaxies can be used to directly trace their assembly and constrain models of galaxy evolution. We select a sample of 6211 low-mass (7 log (M/M) 10) star-forming galaxies from the SAGAbg catalog that has high-completeness at low-redshifts (z<0.1). We obtain their galaxy maps in the griz - bands of the Legacy Surveys and apply STATMORPH to calculate non-parametric morphological measures including the Gini index, M 20 measure, and CAS parameters. We study how resolution and signal-to-noise affect the morphology measures and find that the bulge strength measurements are the most reliable. The sequence in Gini-M 20 space is directly linked to the star-forming sequence of galaxies and is dominated by Sb/Sc/Ir morphologies. The g-band light distributions are the least concentrated among all the bands. The systematic trends of M 20 with respect to stellar mass and GALEX NUV-derived specific star formation rate (sSFR) strongly indicate that the galaxies with flatter light profiles are less massive with higher sSFR and vice-versa. We statistically infer that star-forming low-mass galaxies predominantly have disk morphologies with bulges becoming more prominent in quenched systems at higher masses (log (M/M) 9).
Sources
- Rapid bulge assembly in young galaxy disks at Cosmic Dawn
- Multi-wavelength morphology and dust emission in low-redshift dwarf galaxies in COSMOS-Web with HST and JWST
- Morphological Classification of Galaxies
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys
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