Recovering 3D structural properties of galaxies from SDSS-like photometry
E. Tempel, A. Tamm, R. Kipper, P. Tenjes

TL;DR
This paper introduces a method to derive 3D structural properties of galaxies from SDSS-like images, demonstrating its accuracy and limitations through simulations of idealized galaxy models.
Contribution
The paper presents a novel approach for reconstructing 3D galaxy structures from 2D images, including analysis of parameter degeneracies and accuracy assessments.
Findings
Restored luminosities and colors are accurate within 0.05 mag and 0.2 mag.
Bulge-to-disc ratios are estimated within 40% accuracy for most cases.
Inclination angles are estimated with errors less than 5-15 degrees.
Abstract
Because of the 3D nature of galaxies, an algorithm for constructing spatial density distribution models of galaxies on the basis of galaxy images has many advantages over surface density distribution approximations. We present a method for deriving spatial structure and overall parameters of galaxies from images and estimate its accuracy and derived parameter degeneracies on a sample of idealised model galaxies. The test galaxies consist of a disc-like component and a spheroidal component with varying proportions and properties. Both components are assumed to be axially symmetric and coplanar. We simulate these test galaxies as if observed in the SDSS project through ugriz filters, thus gaining a set of realistically imperfect images of galaxies with known intrinsic properties. These artificial SDSS galaxies were thereafter remodelled by approximating the surface brightness distribution…
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