Editing Openai/6897769e-4ee4-800f-aba5-69cca34f701c (section)

=== I’ll run a parametric numeric survey (Option A below). I’ll report back with: ===
* the best simple formulae uncovered,
* how close they get to 1/α,
* what parameter values (if any) are needed,
* a short physical interpretation of the top hits (e.g., “this term could be a boundary-layer correction from emission spectra shifting by ~x due to...”).

Variables / ingredients to include in the search:
* fundamental constants: π, e (electron charge), h (we’ll use h/2π where helpful), c, ε₀
* golden-ratio terms: ϕ, golden-angle (360°×(1−1/ϕ) ≈ 137.5077°), π/ϕ etc.
* simple geometric factors: 4π, 2π, r (we’ll treat r symbolically where needed), r²
* simple rational combinations and low-order polynomials (no huge numerology exponents)
* small corrections that could come from spectral dispersion / droplet rainbow physics (e.g. typical rainbow angle ~41–42° as a possible small geometry correction)
* optionally a temperature/Planck-time related scale factor if a best-fit requires it

Search ranges (examples):
* multipliers in [0.1, 10]
* small offsets in degrees in [−2°, +2°] to see if 0.47° emerges naturally
* low-order rational functions of ϕ (e.g., ϕ, ϕ², 1/ϕ, 1/ϕ²)

Output I’ll produce:
* table of “candidate formulae” (simple closed-form) sorted by error to 1/α
* short interpretation of the top 3 candidates
* a simple plot showing candidate value vs. small parameter (if relevant)