A novel pipeline for the identification of new gamma-ray blazars from the 4FGL–Xiang catalog based on multiwavelength flux distributions

YXYunchuan XiangYYYingzhi YePFPeng FengHLHui LiXPXiankai Pang

China West Normal University · Yunnan University · +1 more institution

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Abstract

ABSTRACT The identification and classification of Fermi blazars are core topics in high-energy astrophysics. To enable precise spatial cross-identification, we constructed two high-precision catalogues: the updated 4FGL–Xiang-DR2 (DR2) and a supplementary version of the fifth edition of Roma-BZCAT (5BZCAT_err). We then developed and applied a novel four-step analytical pipeline combining cross-matching with the statistical analysis of multiband flux distributions to identify new Fermi blazars. The analytical pipeline has yielded several key results in the systematic comparison of BZBs and BZQs. We found that among single statistical metrics, kurtosis is the most powerful discriminator (MAD $>$ 1.64). At…

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Authors

8

Topics & keywords

Keywords
  • Blazar
  • Kurtosis
  • Flux (metallurgy)
  • Identification (biology)
  • Fermi Gamma-ray Space Telescope
  • Consistency (knowledge bases)
  • Pipeline (software)
  • Divergence (linguistics)
UN Sustainable Development Goals
  • Reduced inequalities
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