Robust galaxy image decompositions with Differential Evolution optimisation and the problem of classical bulges in and beyond the nearby Universe
Dimitri A. Gadotti (Durham University)

TL;DR
This study uses Differential Evolution optimization to improve galaxy decomposition accuracy, revealing that resolution limitations can cause misclassification of bulges, which may explain discrepancies in classical bulge fractions across different galaxy surveys.
Contribution
The paper demonstrates the effectiveness of Differential Evolution in galaxy decomposition and highlights how resolution effects can lead to systematic biases in bulge classification.
Findings
Differential Evolution yields accurate structural measurements with minimal subjective input.
Low resolution can cause overestimation of bulge Sersic index, leading to false classical bulge detection.
Resolution issues may explain discrepancies in bulge fractions in galaxy studies.
Abstract
Deconstructing galaxies through two-dimensional decompositions has been shown to be a powerful technique to derive the physical properties of stellar structures in galaxies. However, most studies employ fitting algorithms that are prone to be trapped in local minima, or involve subjective choices. Furthermore, when applied on samples beyond the nearby Universe, results on the fraction of classical bulges in disc galaxies do not agree with studies on nearby galaxies. The latter studies point to a small fraction of classical bulges, possibly challenging our merger-driven picture of galaxy formation. Therefore, understanding the discrepancy between observations in and beyond the nearby Universe is of paramount importance. In this paper, I use a sample of 16 nearby galaxies drawn from the TIMER project, which previously have been shown to not host classical bulges, and perform…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
