X-Ray Spectra and Multiwavelength Machine Learning Classification for Likely Counterparts to Fermi 3FGL Unassociated Sources

Published in The Astronomical Journal, 2021

Recommended citation: Kerby et al. 2021 https://iopscience.iop.org/article/10.3847/1538-3881/abda53

Using random forest classifier, we use gamma- and X-ray properties of unassociated Fermi sources to identify likely blazars and pulsars [Download paper here](https://sekerby.github.io/files/Kerby_2021_AJ_161_154.pdf) Recommended citation: Kerby, Kaur, Falcone et al. (2021). "X-Ray Spectra and Multiwavelength Machine Learning Classification for Likely Counterparts to Fermi 3FGL Unassociated Sources" The Astrophysical Journal. 161 4 154.