Unveiling the nature of the unidentified gamma-ray sources V: analysis of the radio candidates with the kernel density estimation
F. Massaro (Stanford University), R. D'Abrusco (SAO), A. Paggi (SAO),, N. Masetti (INAF-IASF Bologna), M. Giroletti (IRA), G. Tosti (University of, Perugia), Howard A. Smith (SAO), S. Funk (SLAC)

TL;DR
This study uses a novel kernel density estimation method on WISE infrared colors to identify potential distant gamma-ray blazar candidates among unidentified Fermi sources by analyzing radio and IR data.
Contribution
It introduces a new 2D KDE approach in IR color space to find gamma-ray blazar candidates missed by previous IR-only methods.
Findings
Identified 55 UGSs likely linked to blazar-like radio sources.
Discovered 11 additional UGSs with blazar-like IR colors from recent observations.
Enhanced the identification process of distant gamma-ray blazar candidates.
Abstract
Nearly one-third of the gamma-ray sources detected by Fermi are still unidentified, despite significant recent progress in this effort. On the other hand, all the gamma-ray extragalactic sources associated in the second Fermi-LAT catalog have a radio counterpart. Motivated by this observational evidence we investigate all the radio sources of the major radio surveys that lie within the positional uncertainty region of the unidentified gamma-ray sources (UGSs) at 95% level of confidence. First we search for their infrared counterparts in the all-sky survey performed by the Wide-field Infrared Survey Explorer (WISE) and then we analyze their IR colors in comparison with those of the known gamma-ray blazars. We propose a new approach, based on a 2-dimensional kernel density estimation (KDE) technique in the single [3.4]-[4.6]-[12] micron WISE color-color plot, replacing the constraint…
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