Unveiling Nonlinear Patterns between Gamma-Ray Burst Observational Features and Redshift via Machine Learning
The study of multifeature cosmological correlations in gamma-ray bursts (GRBs) holds significant importance for establishing them as effective cosmological probes. As GRB observational datasets continually grow, the limitations of traditional linear models in handling multidimensional, nonlinear, an...
保存先:
| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IOP Publishing
2026-01-01
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| シリーズ: | The Astrophysical Journal |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.3847/1538-4357/ae81ad |
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