34 citations · 64 across the 6 of their papers we have counts for
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astro-ph.GA2023★ 22 cited
A Robust Study of High-Redshift Galaxies: Unsupervised Machine Learning for Characterising morphology with JWST up to z ~ 8
Clár-Bríd Tohill, Steven Bamford, Christopher Conselice +4
Galaxy morphologies provide valuable insights into their formation processes, tracing the spatial distribution of ongoing star formation and encoding signatures of dynamical intera…
astro-ph.GA2023★ 1 cited
Exploring the Morphologies of High Redshift Galaxies with Machine Learning
Clár-Bríd Tohill, Steven Bamford, Christopher Conselice
The morphology of a galaxy has been shown to encode the evolutionary history and correlates strongly with physical properties such as stellar mass, star formation rates and past me…