IndisputableMonolith.Physics.AlphaHighPrecision
This module encodes an empirical hypothesis that the Recognition Science formula for the inverse fine-structure constant reaches CODATA precision. Physicists comparing derived constants to experiment would cite it. The module imports the base Alpha definitions and states the test protocol with refined w8 weights plus 5D curvature terms.
claimThe hypothesis asserts that the Recognition Science expression for $\alpha^{-1}$, evaluated with refined $w_8$ weights and 5D curvature corrections, agrees with the CODATA value to better than $10^{-11}$.
background
Recognition Science obtains constants from the J-cost function and the phi-ladder after the T0-T8 forcing chain. The imported Alpha module supplies the base interval for $\alpha^{-1}$ in (137.030, 137.039). This high-precision module adds the empirical test layer on top of that derivation.
proof idea
This is a hypothesis module with no Lean proofs; it records the EMPIRICAL_HYPO status, test protocol, and falsifier criterion.
why it matters in Recognition Science
The module supplies the experimental interface for the alpha derivation that originates in Constants.Alpha and the UnifiedForcingChain. It supplies the concrete falsifier that would refute the claim if a measurement deviates by more than 1e-11.
scope and limits
- Does not derive the alpha formula itself.
- Does not contain numerical evaluation code.
- Does not list the explicit w8 weights or curvature terms.