X-ray, opt. & radio SEDs of Fermi blazars

DOI

In this paper, multiwavelength data are compiled for a sample of 1425 Fermi blazars to calculate their spectral energy distributions (SEDs). A parabolic function, log({nu}F_{nu})=P_1(log{nu}-P_2_)^2^+P_3_, is used for SED fitting. Synchrotron peak frequency (log{nu}p), spectral curvature (P_1_), peak flux ({nu}p_F{nu}p_), and integrated flux ({nu}F_{nu}) 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 1.4GHz, optical R band, X-ray at 1keV and {gamma}-ray at 1GeV, peak luminosity, integrated luminosity, and effective spectral indices of radio to optical ({alpha}_RO) and optical to X-ray ({alpha}OX) are calculated. The "Bayesian classification" is employed to log{nu}p in the rest frame for 999 blazars with available redshift, and the results show that three components are enough to fit the log{nu}p distribution; there is no ultra-high peaked subclass. Based on the three components, the subclasses of blazars using the acronyms of Abdo+ (2010, J/ApJ/716/30) are classified, and some mutual correlations are also studied.

Cone search capability for table J/ApJS/226/20/table1 (Sample for blazars)

Identifier
DOI http://doi.org/10.26093/cds/vizier.22260020
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/226/20
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/226/20
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/226/20
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/226/20
Provenance
Creator Fan J.H.; Yang J.H.; Liu Y.; Luo G.Y.; Lin C.; Yuan Y.H.; Xiao H.B.,Zhou A.Y.; Hua T.X.; Pei Z.Y.
Publisher CDS
Publication Year 2016
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Galactic and extragalactic Astronomy; High Energy Astrophysics; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy