Classification of Fermi-LAT blazars with Bayesian neural networks
The use of Bayesian neural networks is a novel approach for the classification of 3-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be divided into BL Lacertae objects and Flat Spectrum Radio Quasars. In contrast to conventional dense networks, Bayesian neural n...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |