Search Results for author: Marc Huertas-Company

Found 3 papers, 0 papers with code

A brief review of contrastive learning applied to astrophysics

no code implementations8 Jun 2023 Marc Huertas-Company, Regina Sarmiento, Johan Knapen

Reliable tools to extract patterns from high-dimensionality spaces are becoming more necessary as astronomical datasets increase both in volume and complexity.

Astronomy Contrastive Learning

Beyond the Hubble Sequence -- Exploring Galaxy Morphology with Unsupervised Machine Learning

no code implementations24 Sep 2020 Ting-Yun Cheng, Marc Huertas-Company, Christopher J. Conselice, Alfonso Aragón-Salamanca, Brant E. Robertson, Nesar Ramachandra

Based on this, the main result in this work is how well our unsupervised method matches visual classifications and physical properties, as well as providing an independent classification that is more physically meaningful than any visually based ones.

Astrophysics of Galaxies

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