Galaxy And Mass Assembly (GAMA): Understanding the wavelength dependence of galaxy structure with bulge-disc decompositions
Rebecca Kennedy, Steven P. Bamford, Boris H\"au{\ss}ler, Ivan Baldry,, Malcolm Bremer, Sarah Brough, Michael J. I. Brown, Simon Driver, Kenneth, Duncan, Alister W. Graham, Benne W. Holwerda, Andrew M. Hopkins, Lee S., Kelvin, Rebecca Lange, Steven Phillipps, Marina Vika

TL;DR
This study uses bulge-disc decompositions of GAMA survey galaxies to analyze how galaxy structural parameters like Sersic index and effective radius depend on wavelength, revealing intrinsic properties of galaxy components and their color gradients.
Contribution
It provides new insights into the wavelength dependence of galaxy structure and color distributions, highlighting the intrinsic nature of disc properties and the variation of bulge and disc colors with galaxy type.
Findings
Most disc galaxies show high Sersic index variation with wavelength.
Radial stellar population and dust effects cause wavelength-dependent structural changes.
Bulge and disc colors vary systematically with galaxy total color and brightness.
Abstract
With a large sample of bright, low-redshift galaxies with opticalnear-IR imaging from the GAMA survey we use bulge-disc decompositions to understand the wavelength-dependent behavior of single-S\'ersic structural measurements. We denote the variation in single-S\'ersic index with wavelength as , likewise for effective radius we use . We find that most galaxies with a substantial disc, even those with no discernable bulge, display a high value of . The increase in S\'ersic index to longer wavelengths is therefore intrinsic to discs, apparently resulting from radial variations in stellar population and/or dust reddening. Similarly, low values of ( 1) are found to be ubiquitous, implying an element of universality in galaxy colour gradients. We also study how bulge and disc colour distributions vary with galaxy type. We find…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
