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astro-ph.GA2025
statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys
Elizaveta Sazonova, Cameron R. Morgan, Michael Balogh +16
Quantitative morphology provides a key probe of galaxy evolution across cosmic time and environments. However, these metrics can be biased by changes in imaging quality - resolutio…
astro-ph.GA2025★ 2 cited
Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations
Rosa de Graaff, Berta Margalef-Bentabol, Lingyu Wang +4
Hierarchical merging of galaxies plays an important role in galaxy formation and evolution. Mergers could trigger key evolutionary phases such as starburst activities and active ac…