2 research outputs found
Optical characterization of WISE selected blazar candidates
Context. Over the last decade more than five thousand Îł-ray sources have been detected by the Large Area Telescope (LAT) onboard the Fermi Gamma-ray Space Telescope. Given the positional uncertainty of the telescope, nearly 30% of these sources remain without an obvious counterpart at lower energies. This has motivated the release of new catalogs of Îł-ray counterpart candidates and several follow up campaigns in the last decade. Aims. Recently, two new catalogs of blazar candidates were released. These are the improved and expanded version of the WISE Blazar-Like Radio-Loud Sources (WIBRaLS2) catalog and the Kernel Density Estimation selected candidate BL Lacs (KDEBLLACS) catalog, both selecting blazar-like sources based on their infrared colors from the Wide-field Infrared Survey Explorer (WISE). In this work we characterize these two catalogs, clarifying the true nature of their sources based on their optical spectra from SDSS data release 15, thus testing their efficiency in selecting true blazars. Methods. We first selected all WIBRaLS2 and KDEBLLACS sources with available optical spectra in the footprint of Sloan Digital Sky Survey data release 15. We then analyzed these spectra to verify the nature of each selected candidate and to measure the fraction of the catalogs composed by spectroscopically confirmed blazars. Finally, we evaluated the impact of selection effects, especially those related to optical colors of WIBRaLS2/KDEBLLACS sources and their optical magnitude distributions. Results. We found that at least âŒ30% of each catalog is made up of confirmed blazars, with quasars being the major contaminants in the case of WIBRaLS2 (â58%) and normal galaxies in the case of KDEBLLACS (â38.2%). The spectral analysis also allowed us to identify the nature of 11 blazar candidates of uncertain type (BCUs) from the Fermi-LAT fourth Point Source Catalog (4FGL) and to find 25 new BL Lac objects.Fil: de Menezes, Raniere. Universidade Do Sao Paulo. Instituto Astronomia, GeofĂsica E Ciencias Atmosfericas. Departamento de Astronomia; Brasil. UniversitĂ degli Studi di Torino; ItaliaFil: Peña Herazo, Harold A.. Instituto Nacional de AstrofĂsica; MĂ©xico. UniversitĂ di Torino; Italia. Istituto Nazionale Di Fisica Nucleare.; Italia. Osservatorio AstroïŹsico di Torino; ItaliaFil: Marchesini, Ezequiel JoaquĂn. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - La Plata. Instituto de AstrofĂsica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias AstronĂłmicas y GeofĂsicas. Instituto de AstrofĂsica La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias AstronĂłmicas y GeofĂsicas; Argentina. Istituto Nazionale Di Fisica Nucleare.; Italia. UniversitĂ di Torino; ItaliaFil: DÂŽAbrusco, Raffaele. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Masetti, Nicola. Osservatorio di AstroïŹsica e Scienza dello Spazio; Italia. Universidad AndrĂ©s Bello; ChileFil: Nemmen, Rodrigo. Universidade Do Sao Paulo. Instituto Astronomia, GeofĂsica E Ciencias Atmosfericas. Departamento de Astronomia; BrasilFil: Massaro, Francesco. UniversitĂ di Torino; Italia. Istituto Nazionale Di Fisica Nucleare.; Italia. Osservatorio AstroïŹsico di Torino; Italia. Consorzio Interuniversitario per la Fisica Spaziale ; ItaliaFil: Ricci, Federica. Pontificia Universidad CatĂłlica de Chile; ChileFil: Landoni, Marco. Osservatorio Astronomico di Brera; ItaliaFil: Paggi, Alessandro. UniversitĂ di Torino; ItaliaFil: Smith, Howard A.. Harvard-Smithsonian Center for Astrophysics; Estados Unido
A Model for Using DataCite DOIs in Observatory Bibliographies
The use of DOI persistent identifiers has become an attractive mechanism for citing datasets in articles. However, taking the usersâ interests into account requires careful consideration of the way in which we apply these identifiers.
Our objective is the application of DOIs in such a way that individual datasets are properly cited while presenting the citations to the reader in a user-friendly manner.
This is achieved by making judicious use of the metadata structure provided by DataCite