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20222026
most citedMorphological signatures of mergers in the TNG50 simulation and the Kilo-Degree Survey: the merger fraction from dwarfs to Milky Way-like galaxies

39 citations · 56 across the 4 of their papers we have counts for

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astro-ph.GA2026

Performance of morphological classifiers for galaxy mergers compared to current machine learning methods

Aidan P. Cotter, William J. Pearson, William J. pearson +4

Aims. Non-parametric morphological statistics can be used for efficient classification of galaxy mergers. This work aims to compare the performance of morphological merger classifi…