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...
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| Format: | Artigo |
| Jezik: | Inglês |
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IOP Publishing
2026-01-01
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| Serija: | The Astrophysical Journal |
| Teme: | |
| Online dostop: | https://doi.org/10.3847/1538-4357/ae81ad |
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