most citedGalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning

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2 papers

astro-ph.CO2024★ 1 cited

GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning

Tuan Do, Bernie Boscoe, Evan Jones +2

We present a dataset built for machine learning applications consisting of galaxy photometry, images, spectroscopic redshifts, and structural properties. This dataset comprises 286…

astro-ph.IM2024

Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models

Yun Qi Li, Tuan Do, Evan Jones +3

Generative models producing images have enormous potential to advance discoveries across scientific fields and require metrics capable of quantifying the high dimensional output. W…