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Galaxy interactions and mergers are also considered to drive various processes pertaining to galaxy evolution, such as star formation, active galactic nuclei (AGN) activity, and chemical evolution. As such, not only are merging galaxy systems important to understand galaxy structure growth in a cosmological context, they are also unique laboratories to study evolutionary processes taking place in galaxies. However, despite their importance, the relative role of galaxy mergers on galaxy evolution is still heavily contested. One reason for this is difficulty in identifying merger galaxies in observational data. Many different methods have been adopted for merger galaxy identification, but none of them are perfect. Moreover, the use of differing selection methods can result in widely different samples, which can alter statistical results. As such, a novel, robust method for merger identification is required to deepen our understanding of galaxy mergers. 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