English

Identifying the 3FHL Catalog. VI. Swift Observations of 3FHL Unassociated Objects with Source Classification via Machine Learning

High Energy Astrophysical Phenomena 2022-12-07 v1 Astrophysics of Galaxies

Abstract

The Third Catalog of Hard Fermi Large Area Telescope Sources (3FHL) reports the detection of 1556 objects at E > 10 GeV. However, 177 sources remain unassociated and 23 are associated with a ROSAT X-ray detection of unknown origin. Pointed X-ray observations were conducted on 30 of these unassociated and unknown sources with Swift-XRT. A bright X-ray source counterpart was detected in 21 out of 30 fields. In five of these 21 fields, we detected more than one X-ray counterpart, totaling 26 X-ray sources analyzed. Multiwavelength data was compiled for each X-ray source detected. We find that 21 out of the 26 X-ray sources detected display the multiwavelength properties of blazars, while one X-ray source displays the characteristics of a Galactic source. Using trained decision tree, random forest, and support vector machine models, we predict all 21 blazar counterpart candidates to be BL Lacertae objects (BL Lacs). This is in agreement with BL Lacs being the most populous source class in the 3FHL.

Keywords

Cite

@article{arxiv.2212.02579,
  title  = {Identifying the 3FHL Catalog. VI. Swift Observations of 3FHL Unassociated Objects with Source Classification via Machine Learning},
  author = {S. Joffre and R. Silver and M. Rajagopal and M. Ajello and N. Torres-Albà and A. Pizzetti and S. Marchesi and A. Kaur},
  journal= {arXiv preprint arXiv:2212.02579},
  year   = {2022}
}

Comments

15 pages, 11 figures, interactive plot link see, https://authortools.aas.org/AAS40568/figNint.html

R2 v1 2026-06-28T07:22:55.495Z