2 citations · 2 across the 1 of their papers we have counts for
3 papers
astro-ph.GA2024
Dust and Power: Unravelling the merger - active galactic nucleus connection in the second half of cosmic history
A. La Marca, B. Margalef-Bentabol, L. Wang +8
Galaxy mergers represent a fundamental physical process under hierarchical structure formation, but their role in triggering AGNs is still unclear. We aim to investigate the merger…
astro-ph.GA2024
Galaxy merger challenge: A comparison study between machine learning-based detection methods
B. Margalef-Bentabol, L. Wang, A. La Marca +14
Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. We aim to benchmark the relative performance…
astro-ph.IM2023★ 2 cited
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…