Identification of Extended Emission Gamma-Ray Burst Candidates Using Machine Learning
Gamma-ray bursts (GRBs) have been classified traditionally based on their duration. The increasing number of extended emission (EE) GRBs, lasting typically more than 2s but with properties similar to those of short GRBs, challenges the traditional classification criteria. In this work, we use the t-...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2023-01-01
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| Colecção: | The Astrophysical Journal |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.3847/1538-4357/acd176 |
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