GCV: Numerical selection of Lambda_eff (Λ_eff) on the GR-exact branch
GCV: Numerical selection of Lambda_eff (Λ_eff) on the GR-exact branch
v3.0.1 (Step‑3 release) — GCV Numerical Λ_eff selection on the GR‑exact branch. ### Version note (v3.0.1) This version corrects the bundled Step-2 input file to ensure that the publishedStep-2 MAIN posterior (v2.0.0) is used as the likelihood input to Step-3.No conceptual, methodological, or model changes were made.Headline conclusions are unaffected. This record provides a reproducible Step‑3 reweighting layer applied to the published Step‑2 selection posterior for x ≡ Λ/Λ_obs. Step‑3 introduces explicit UV/discretuum density models and explicit measure/population weight families, and outputs Step‑3 posteriors plus sensitivity scans. Reproducibility (package root): pip install -r requirements.txt python lambda_posterior_v3p0p0_reproduce.pyWindows: RUN_TEST_WINDOWS.bat (pauses at end). Outputs: results/ (CSV+JSON) and figures/ (PNG). Scope/non‑claims: does NOT derive Λ_eff from SM vacuum energy; does NOT solve the global measure problem; does NOT modify Step‑2 (Step‑2 is treated as the likelihood/selection module). Project homepage: https://johansson.digitalProject overview hub: https://github.com/gcv-framework/gcv-vacuum-energy
metallicity, enrichment, cosmological constant, Sheth–Tormen, model averaging, robustness, star formation rate, selection effects, measure problem, vacuum energy, discretuum, habitability, GR-exact, flux-fixed, UV prior, sensitivity analysis, Lambda_eff, GCV, cosmological constant problem, Press–Schechter, halo mass function, dark energy, observer selection, cosmology, posterior
metallicity, enrichment, cosmological constant, Sheth–Tormen, model averaging, robustness, star formation rate, selection effects, measure problem, vacuum energy, discretuum, habitability, GR-exact, flux-fixed, UV prior, sensitivity analysis, Lambda_eff, GCV, cosmological constant problem, Press–Schechter, halo mass function, dark energy, observer selection, cosmology, posterior
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