Galaxy merger challenge: A comparison study between machine learning-based detection methods
Aims: Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. Our aim is to benchmark the relative performance of merger detection methods based on machine learning (ML). Methods: We explore six leading ML methods using three main datasets. The first dataset consists of
Margalef-Bentabol, B. et al.
Advertised on:
7
2024