Apr 12 – 17, 2021
Africa/Johannesburg timezone

Classification and Ranking of Fermi LAT gamma-ray sources from the 4FGL Catalog using Machine Learning Techniques

Apr 14, 2021, 7:49 AM
Poster Catalogs Dark Matter/CR/Catalogs-2


Pablo Saz Parkinson (The University of Hong Kong)


The Fermi LAT Fourth Source Catalog (4FGL) contains over 5000 gamma-ray sources detected using 8 years of LAT data. Among these sources, over 3000 are associated with known blazars, 239 are associated with pulsars, and over 1300 are classified as 'unassociated' sources, meaning they have no known plausible counterpart at any other wavelength. Following on our previous work on the 3FGL Catalog (Saz Parkinson et al. 2016), we use the information from the known classes of gamma-ray sources to infer the nature of the unassociated sources from 4FGL using machine learning techniques. We will present the results of our predictions, as well as examples of the follow-up multiwavelength observations and pulsar searches on some the top candidates identified in our studies.

Primary author

Pablo Saz Parkinson (The University of Hong Kong)

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