From the 1 of 4 linked papers with an AI index.
4 papers
Identifying backsplash galaxies using machine learning
Roan Haggar, Elizaveta Sazonova, Cameron R. Morgan +5
The paper presents a machine‑learning model trained on The Three Hundred cluster simulations that can identify backsplash galaxies in observations, achieving about 70% purity/compl…
The Next Generation Virgo Cluster Survey (NGVS). II. A Catalog of Galaxies in the Virgo Cluster
Laura Ferrarese, Patrick Cote, Lauren A. MacArthur +51
The Next Generation Virgo Cluster Survey (NGVS) is a deep, high resolution imaging campaign that used the 1 deg MegaCam instrument on the Canada-France-Hawaii Telescope to carr…
The Hubble sequence in JWST CEERS from unbiased galaxy morphologies
Elizaveta Sazonova, Cameron R. Morgan, Michael Balogh
Whether the "Hubble sequence" of galaxy morphologies exists up to z~4 is still disputed, and one of the challenges is characterizing galaxy structure consistently across a wide ran…
statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys
Elizaveta Sazonova, Cameron R. Morgan, Michael Balogh +16
Quantitative morphology provides a key probe of galaxy evolution across cosmic time and environments. However, these metrics can be biased by changes in imaging quality - resolutio…