X-ray Spectra and Multiwavelength Machine Learning Classification for Likely Counterparts to Fermi 3...
X-ray Spectra and Multiwavelength Machine Learning Classification for Likely Counterparts to Fermi 3FGL Unassociated Sources
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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
We conduct X-ray spectral fits on 184 likely counterparts to Fermi-LAT 3FGL unassociated sources. Characterization and classification of these sources allows for more complete population studies of the high-energy sky. Most of these X-ray spectra are well fit by an absorbed power law model, as expected for a population dominated by blazars and puls...
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Full title
X-ray Spectra and Multiwavelength Machine Learning Classification for Likely Counterparts to Fermi 3FGL Unassociated Sources
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TN_cdi_proquest_journals_2477387177
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477387177
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2101.04128
