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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18846065 |
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Table of Contents:
- <p>This research integrates AI with theoretical cosmology to investigate residual Time-field (γ) effects post-Hilltop inflation. </p> <p>The study combines a deep neural network surrogate model with Bayesian MCMC inference using Planck PR4 and Pantheon+ datasets.</p> <p>Key results indicate a residual energy density γ ≈ 0.0015, which partially alleviates the Hubble tension. </p> <p>The workflow is fully reproducible and includes defense-ready visualization (H(z) deviation, likelihood contours, project progress chart).</p>