Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Recurso digital |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Zenodo
2026
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.18604647 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- <p>This record provides a v1.0.0 pre-paper bundle and reproducibility code for a minimal numerical “selection” exercise for the flux-fixed effective cosmological constant Λ_eff (Lambda_eff) on the GR-exact branch of the Gauged Constant Vacuum (GCV) framework.</p> <p>The bundle constructs an auditable posterior for Λ_eff (Lambda_eff) by scanning r := ρ_Λ/ρ_m0 (holding ρ_m0 fixed) and weighting candidate sectors by (i) a Press–Schechter–inspired proxy for structure suppression at large positive Λ and (ii) a finite-lifetime/recollapse viability weight for Λ < 0. Results are reported in absolute units Λ/H0² = 3 Ω_m0 r.</p> <p>Outputs included: baseline posterior plots (in r and Λ/H0²), a robustness scan over (p, sM, k, γ), and CSV/JSON summaries.</p> <p>Scope / non-claims: this is not a microphysical prediction of Λ_eff (Lambda_eff) from Standard Model vacuum energy and does not solve the cosmological measure problem; it provides an explicit, reproducible numerical selection module under stated assumptions.</p> <p>Reproducibility: install dependencies via <code>pip install -r requirements.txt</code> and run <code>python lambda_posterior_v1p0p0_reproduce.py</code> from the package root. Numerical summaries may differ at ~1e−12–1e−15 due to floating-point/library-version differences; qualitative results and plots are unchanged.</p> <p><strong>Project homepage:</strong><br><a href="https://johansson.digital/" target="_new" rel="noopener">https://johansson.digital</a></p> <p><strong>Project overview and related material:</strong><br><a target="_new" rel="noopener">https://github.com/gcv-framework/gcv-vacuum-energy</a></p> <p><em>Note: GitHub is used as a high-level discovery and overview hub only. For citation and archiving, please cite the relevant Zenodo concept DOI(s) for the scientific content.</em></p>