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-...
| 出版年: | The Astrophysical Journal |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IOP Publishing
2023-01-01
|
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.3847/1538-4357/acd176 |