Precision Cascade Reproducibility Archive for "Resolving the Hubble Tension Through Systematic Correlation Analysis"
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902272235012096 |
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| author | Jeffrey, Daniel |
| author_facet | Jeffrey, Daniel |
| contents | <p class="p1"><span class="s1">This archive provides a complete, deterministic, and self-auditing reproducibility framework for the manuscript:</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">“Resolving the Hubble Tension Through Systematic Correlation Analysis (Revised Version)”.</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">The archive implements the Precision Cascade Engine, a provenance-encoded, covariance-driven inference system designed to reproduce and audit the full statistical pathway from declared inputs to final cosmological estimates.</span></p> <p class="p1"><span class="s1">All numerical results are generated internally from:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">declared measurements</span></li> <li class="li1"><span class="s1">structural provenance mappings</span></li> <li class="li1"><span class="s1">covariance construction rules</span></li> <li class="li1"><span class="s1">systematic bias models</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">The archive reproduces the primary result:<br>H₀ = 69.9 ± 0.8 km s⁻¹ Mpc⁻¹,<br>reducing the Hubble tension from ~5.9σ to 2.4–2.8σ through explicit inclusion of cross-rung covariance.</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">Key features:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">Fully deterministic execution (no stochastic elements)</span></li> <li class="li1"><span class="s1">Single self-contained archive (no external dependencies beyond environment setup)</span></li> <li class="li1"><span class="s1">Explicit construction of correlation and covariance matrices from provenance structure</span></li> <li class="li1"><span class="s1">Inverse-covariance estimator implementation</span></li> <li class="li1"><span class="s1">Executable worked examples (2×2 and 3×3 covariance systems)</span></li> <li class="li1"><span class="s1">Sensitivity analyses for correlation strength and systematic variation</span></li> <li class="li1"><span class="s1">Internal validation against golden outputs</span></li> <li class="li1"><span class="s1">Checksum closure with ROOT_HASH for chain-of-custody integrity</span></li> <li class="li1"><span class="s1">Self-auditing framework with PASS/FAIL governance</span></li> <li class="li1"><span class="s1">Explicit handling and disclosure of residual differences between illustrative and exact computational layers</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">The archive is designed to:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">enable full independent replication</span></li> <li class="li1"><span class="s1">support adversarial testing of assumptions</span></li> <li class="li1"><span class="s1">provide a transparent audit trail for all reported results</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">This work represents a reproducibility-first implementation of cosmological inference, prioritising process integrity over narrative presentation.</span></p> <p class="p2"> </p> <p class="p1"><span class="s3">Keywords</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">Hubble tension, H0, cosmology, covariance modelling, reproducibility, statistical inference, systematics, Bayesian inference, scientific computing, auditability, precision cascade</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19558624 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Precision Cascade Reproducibility Archive for "Resolving the Hubble Tension Through Systematic Correlation Analysis" Jeffrey, Daniel <p class="p1"><span class="s1">This archive provides a complete, deterministic, and self-auditing reproducibility framework for the manuscript:</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">“Resolving the Hubble Tension Through Systematic Correlation Analysis (Revised Version)”.</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">The archive implements the Precision Cascade Engine, a provenance-encoded, covariance-driven inference system designed to reproduce and audit the full statistical pathway from declared inputs to final cosmological estimates.</span></p> <p class="p1"><span class="s1">All numerical results are generated internally from:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">declared measurements</span></li> <li class="li1"><span class="s1">structural provenance mappings</span></li> <li class="li1"><span class="s1">covariance construction rules</span></li> <li class="li1"><span class="s1">systematic bias models</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">The archive reproduces the primary result:<br>H₀ = 69.9 ± 0.8 km s⁻¹ Mpc⁻¹,<br>reducing the Hubble tension from ~5.9σ to 2.4–2.8σ through explicit inclusion of cross-rung covariance.</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">Key features:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">Fully deterministic execution (no stochastic elements)</span></li> <li class="li1"><span class="s1">Single self-contained archive (no external dependencies beyond environment setup)</span></li> <li class="li1"><span class="s1">Explicit construction of correlation and covariance matrices from provenance structure</span></li> <li class="li1"><span class="s1">Inverse-covariance estimator implementation</span></li> <li class="li1"><span class="s1">Executable worked examples (2×2 and 3×3 covariance systems)</span></li> <li class="li1"><span class="s1">Sensitivity analyses for correlation strength and systematic variation</span></li> <li class="li1"><span class="s1">Internal validation against golden outputs</span></li> <li class="li1"><span class="s1">Checksum closure with ROOT_HASH for chain-of-custody integrity</span></li> <li class="li1"><span class="s1">Self-auditing framework with PASS/FAIL governance</span></li> <li class="li1"><span class="s1">Explicit handling and disclosure of residual differences between illustrative and exact computational layers</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">The archive is designed to:</span></p> <p class="p2"> </p> <ul class="ul1"> <li class="li1"><span class="s1">enable full independent replication</span></li> <li class="li1"><span class="s1">support adversarial testing of assumptions</span></li> <li class="li1"><span class="s1">provide a transparent audit trail for all reported results</span></li> </ul> <p class="p2"> </p> <p class="p1"><span class="s1">This work represents a reproducibility-first implementation of cosmological inference, prioritising process integrity over narrative presentation.</span></p> <p class="p2"> </p> <p class="p1"><span class="s3">Keywords</span></p> <p class="p2"> </p> <p class="p1"><span class="s1">Hubble tension, H0, cosmology, covariance modelling, reproducibility, statistical inference, systematics, Bayesian inference, scientific computing, auditability, precision cascade</span></p> |
| title | Precision Cascade Reproducibility Archive for "Resolving the Hubble Tension Through Systematic Correlation Analysis" |
| url | https://doi.org/10.5281/zenodo.19558624 |