17 citations · 26 across the 3 of their papers we have counts for
3 papers
Quasar and galaxy classification using Gaia EDR3 and CatWise2020
Arvind C. N. Hughes, Coryn A. L. Bailer-Jones, Sara Jamal
In this work, we assess the combined use of Gaia photometry and astrometry with infrared data from CatWISE in improving the identification of extragalactic sources compared to the…
Spectroscopic follow-up of statistically selected extremely metal-poor star candidates from GALAH DR3
G. S. Da Costa, M. S. Bessell, Thomas Nordlander +5
The advent of large-scale stellar spectroscopic surveys naturally leads to the implementation of machine learning techniques to isolate, for example, small sub-samples of potential…
The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A Machine Learning Classification Algorithm
Arvind C. N. Hughes, Lee R. Spitler, Daniel B. Zucker +21
Extremely Metal-Poor (EMP) stars provide a valuable probe of early chemical enrichment in the Milky Way. Here we leverage a large sample of high-resolution stellar sp…