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The Fermi-LAT unassociated sources represent some of the most enigmaticgamma-ray sources in the sky. Observations with the Swift-XRT and -UVOTtelescopes have identified hundreds of likely X-ray and UV/optical counterpartsin the uncertainty ellipses of the unassociated sources. In this work wepresent spectral fitting results for 205 possible X-ray/UV/optical counterpartsto 4FGL unassociated targets. Assuming that the unassociated sources containmostly pulsars and blazars, we develop a neural network classifier approachthat applies gamma-ray, X-ray, and UV/optical spectral parameters to yielddescriptive classification of unassociated spectra into pulsars and blazars.From our primary sample of 174 Fermi sources with a single X-ray/UV/opticalcounterpart, we present 132 P_bzr > 0.99 likely blazars and 14 P_bzr < 0.01likely pulsars, with 28 remaining ambiguous. These subsets of the unassociatedsources suggest a systematic expansion to catalogs of gamma-ray pulsars andblazars. Compared to previous classification approaches our neural networkclassifier achieves significantly higher validation accuracy and returns morebifurcated P_bzr values, suggesting that multiwavelength analysis is a valuabletool for confident classification of Fermi unassociated sources.

Multiwavelength Spectral Analysis and Neural Network Classification of Counterparts to 4FGL Unassociated Sources