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

=== 1. Produce a short figure: plot D(i)D(i)D(i) vs iii for three values of n (nα, ngold, nwater ≈1.333) to show how the minima move. I can create that plot and give you a PNG for slides/thumbnails. ===
# Explore spectral dispersion: take a simple refractive-index model n(λ) (Cauchy or Sellmeier toy model) and compute how β(λ) varies across visible wavelengths — see whether the ensemble average or weighted spectral peak lines up with 1/α.
# Build a microphysical toy model: map an “effective atomic/plasma shell” refractive index (complex, frequency-dependent) to a predicted shift in the preferred deviation angle and hence to a predicted α. This would be more speculative but could yield a formula linking e², ħ, c and a geometric factor (your QAT constants).
# Produce a clean numerical summary and a short text/slide blurb you can paste under a video or pin (concise, public-facing).

My recommendation: start with (1) the plot — it’s fast and visually convincing for a YouTube/video audience — then do (2) if you want to tie the correction to dispersion (spectral argument). If you prefer I can do (3) directly and attempt a symbolic link to e²/(ħ c) as QAT suggests, but that will be more model-dependent.