21 citations · 23 across the 5 of their papers we have counts for
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astro-ph.GA2025
Analysing the prevalence of tidal features in HSC-SSP using self-supervised representation learning
A. Desmons, S. Brough, F. Lanusse +2
We use a combination of self-supervised machine learning and visual classification to identify tidal features in a sample of 34,331 galaxies with stellar masses $\log_{10}(M_{*}/\r…
astro-ph.GA2025
Measuring the intracluster light fraction with machine learning
Louisa Canepa, Sarah Brough, Francois Lanusse +2
The intracluster light (ICL) is an important tracer of a galaxy cluster's history and past interactions. However, only small samples have been studied to date due to its very low s…