Catalog Service: Blazar candidates among Fermi/LAT 3FGL catalog
Description
We present a study to search for, and characterise blazar candidates among the Fermi/LAT 3FGL catalogue using machine-learning classification methods. Classifiers are based on the exploitation of statistical differences imprinted in the 3FGL Fermi/LAT catalogue, such as variability and spectral shape, between different populations of sources.
This section describes who is responsible for this resource
Publisher: CDSivo://CDS[Pub. ID]
Contact Information:
This section provides some status information: the resource version, availability, and relevant dates.
This resource was registered on: 2017 Jun 20 09:22:37ZThis resource description was last updated on: 2021 Oct 21 00:00:00Z
This section describes what the resource is, what it contains, and how it might be relevant.
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This section describes the data's coverage over the sky, frequency, and time.
Wavebands covered:
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This is service that does not comply with any IVOA standard but instead provides access to special capabilities specific to this resource.
This is a standard IVOA service that takes as input an ADQL or PQL query and returns tabular data.
This is a standard IVOA service that takes as input a position in the sky and a radius and returns catalog records with positions within that radius.
Cone search capability for table J/A+A/602/A86/table5 (blazar candidates from unassociated 3FGL sources)
VERB=1
VERB=3
Cone search capability for table J/A+A/602/A86/table7 (Type assignation of blazar candidates)
Developed with the support of the National Science Foundation under Cooperative Agreement AST0122449 with the Johns Hopkins University The NAVO project is a member of the International Virtual Observatory Alliance
This NAVO Application is hosted by the Space Telescope Science Institute