18 citations · 36 across the 3 of their papers we have counts for
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astro-ph.HE2022★ 18 cited
Predicting the redshift of gamma-ray loud AGNs using Supervised Machine Learning: Part 2
Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti +4
Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. However, obtaining redshift measurements of AGNs is…
astro-ph.HE2021★ 18 cited
Predicting the redshift of gamma-ray loud AGNs using supervised machine learning
Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra +8
AGNs are very powerful galaxies characterized by extremely bright emissions coming out from their central massive black holes. Knowing the redshifts of AGNs provides us with an opp…