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January 24, 2026Monthly Notices of the Royal Astronomical SocietyOpen Access

A Novel Pipeline for the Identification of New Gamma-Ray Blazars from the 4FGL-Xiang Catalog Based on Multi-wavelength Flux Distributions

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Authors

XCXiufa ChenYYYingzhi YePFPeng Feng

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Overview

Analytical pipeline identifies new Fermi blazars in gamma-ray astronomy, suggesting improved classification methods.

Key Points

  • This research aims to create a robust method for identifying new gamma-ray blazars using multi-wavelength data.
  • Constructed high-precision catalogs: 4FGL-Xiang-DR2 and 5BZCAT_err.
  • Developed a four-step analytical pipeline for cross-matching and flux distribution analysis.
  • Applied statistical metrics, particularly kurtosis, for classification of blazars.
  • Identified 17 new blazars using multi-band flux data.
  • Kurtosis successfully discriminates between blazar types with a threshold of MAD > 1.64.
  • Significant divergence in flux distributions was observed across multiple bands with JSD > 0.3.
  • The proposed Box-Cox+TND model fits the flux distributions effectively.
  • Out of 17 identified candidates, 15 are consistent with known blazar properties within the 2σ confidence interval.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6974610cbb9d90c67120aefbhttps://doi.org/10.1093/mnras/stag150
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