The Spectral Energy Distributions of Fermi Blazars
J. H. Fan, J. H. Yang, Y. Liu, G. Y. Luo, C. Lin, Y.H. Yuan, H. B., Xiao, A. Y. Zhou, T. X. Hua, Z. Y. Pei

TL;DR
This study compiles multi-wavelength data for 1392 Fermi blazars to analyze their spectral energy distributions, classify their types based on peak frequencies, and explore correlations across different energy bands.
Contribution
It provides a comprehensive SED catalog for a large blazar sample and introduces a Bayesian classification method to identify blazar subclasses without ultra high peaked sources.
Findings
SEDs successfully obtained for 1392 blazars
Blazars classified into LSP, ISP, HSP based on peak frequency
Strong correlation between gamma-ray and radio emissions
Abstract
(Abridged) In this paper, multi-wavelength data are compiled for a sample of 1425 Fermi blazars to calculate their spectral energy distributions (SEDs). A parabolic function, is used for SED fitting. Synchrotron peak frequency (), spectral curvature (), peak flux (), and integrated flux () are successfully obtained for 1392 blazars (461 flat spectrum radio quasars-FSRQs, 620 BL Lacs-BLs and 311 blazars of uncertain type-BCUs, 999 sources have known redshifts). Monochromatic luminosity at radio 1.4 GHz, optical R band, X-ray at 1 keV and -ray at 1 GeV, peak luminosity, integrated luminosity and effective spectral indexes of radio to optical (), and optical to X-ray () are calculated. The "Bayesian classification" is employed to log$\nu_{\rm…
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