Machine learning methods for constructing probabilistic Fermi -LAT catalogs

Machine learning methods for constructing probabilistic Fermi -LAT catalogs

Context. Classification of sources is one of the most important tasks in astronomy. Sources detected in one wavelength band, for example using gamma rays, may have several possible associations in other wavebands, or there may be no plausible association candidates. Aims. In this work we aim to dete...

Full description

Bibliographic Details
Main Authors: Bhat, A. (Author), Malyshev, D. (Author)
Format: Article
Language:English
Published: EDP Sciences 2022
Subjects:
Active galactic nuclei
Catalog
Catalogs
Gamma rays
Gamma rays: general
Gamma rays: generals
Large area telescopes
Machine learning
Machine learning methods
Methods: statistical
Methods:statistical
Point-sources
Probabilistic classification
Probabilistics
Pulsars
Wavelength band
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items