A Six Birds' Eye View of Dark Energy: Closure, Route Mismatch, and Audits for Apparent Acceleration

A Six Birds’ Eye View of Dark Energy applies Six Birds Theory (SBT) to cosmological inference by treating “dark energy” as a rewrite term induced when coarse-graining (what we observe) does not commute with micro evolution (what is happening). In the SBT framing, a cosmological model is a closure package consisting of a lens (the retained summary), a completion (how discarded structure is filled in), and audits that test whether the packaged description is dynamically coherent. When closure fails, an effective correction is forced—phenomenologically similar to a Λ-term in common observational interfaces. Operationally, this deposit includes a computational implementation of the SBT primitives (lens/completion/packaging, route mismatch, idempotence defect), provenance-tracked experiment bundles, and PPD-style train-on-one-probe / predict-another audits. We demonstrate the mechanism in controlled toy universes: route mismatch is (numerically) zero in a linear control regime and becomes strictly positive when nonlinearity is switched on; in a heterogeneous patch-expansion proxy, a domain “acceleration” diagnostic becomes positive in the heterogeneous regime while remaining ≈0 in homogeneous controls. Using synthetic distance–redshift data generated from a null-Λ heterogeneous toy universe, homogeneous ΛCDM fitting recovers an apparent ΩΛ ≈ 0. 60, while a heterogeneity-proxy rewrite term matches ΛCDM fit quality and improves held-out prediction of a heterogeneity proxy. To establish real-data relevance with minimal moving parts, we apply the same pipeline to public background probes: the DES SN5YR distance-modulus vector + covariance release and the DES Y6 BAO one-dimensional α-likelihood release, including cross-probe predictive discrepancies. Large-scale-structure (3×2pt-style) sections are included as an audit protocol and data-layer demonstration on public DES Y3 and KiDS vectors under an explicitly stated surrogate theory backend (not a physical likelihood reproduction). What’s included Full codebase for all toy, synthetic, and public-probe pipelines Provenance-tracked run manifests (configs, metrics, plots, environment info) Scripts to vendor figures/tables into tracked paper assets + an evidence map linking each figure/table to the generating run Reproducibility (high level) Reproduce public background evidence suite: make exp-public-evidence-background Reproduce public LSS audit protocol suite: make exp-public-evidence-lss Fetch public datasets via registry: python scripts/fetchdata. py --dataset Scope noteThis work does not rule out a fundamental cosmological constant. It provides a closure/audit framework showing how Λ-like terms can arise as packaging-induced corrections, and it pre-registers staging- and probe-split audit tests intended for higher-fidelity likelihood releases as they become public.