IndisputableMonolith.Physics.DarkMatterWeakReferenceCrossSectionScoreCard
This module assembles reference neutrino energy, unit conversions, and weak-channel cross sections for neutrinos and dark matter. It supports Recognition Science phenomenology by normalizing dark-matter predictions to the neutrino reference channel. The module is purely definitional, importing the Fermi constant identity and the J(phi) ratio band without internal theorems.
claim$E_{\rm ref} = 1\,{\rm GeV}$, $\sigma_\nu^{\rm weak\,ref}$ in cm$^2$, $\sigma_{\rm DM}^{\rm weak\,ref} = \sigma_\nu^{\rm weak\,ref} \times J(\phi)$ with $J(\phi) = \phi - 3/2$, plus conversion factor gev2_to_cm2 and band rows.
background
The module sits in the Physics domain and imports FermiConstantScoreCard (Phase 1 row P1-C01, natural-unit electroweak identity) together with DarkMatterCrossSectionBandScoreCard (P0-A6 row, dark-matter to neutrino cross-section ratio given by the recognition quantum $J(\phi) = \phi - 3/2$). It defines the reference energy $E_{\rm ref,GeV}$, the conversion gev2_to_cm2, the reference neutrino cross section $\sigma_\nu^{\rm weak,ref,cm2}$, the corresponding dark-matter value $\sigma_{\rm DM}^{\rm weak,ref,cm2}$, and the two band-row definitions that embed the golden-section ratio.
These objects supply concrete numerical anchors for weak-channel normalization inside the Recognition Science framework, where constants are expressed in native units with $c=1$, $\hbar=\phi^{-5}$, and the phi-ladder mass formula.
proof idea
this is a definition module, no proofs
why it matters in Recognition Science
The module supplies the concrete reference values required by the P0-A6 dark-matter cross-section band and the P1-C01 electroweak slice. It therefore feeds any downstream scorecard or phenomenology that compares predicted weak-channel dark-matter rates against neutrino normalization, closing the numerical interface between the Recognition Composition Law and observable cross sections.
scope and limits
- Does not derive the J(phi) ratio from the Recognition Composition Law.
- Does not perform experimental data fitting or likelihood analysis.
- Does not extend to strong or electromagnetic interaction channels.
- Does not claim validity outside the weak reference normalization.