IndisputableMonolith.Verification.PDGComparison
Reference table of CODATA 2022 and PDG experimental anchors used to audit Recognition Science predictions. It records the inverse fine-structure constant with uncertainty, electron/muon/tau masses with sigmas, and the RS interval for α⁻¹. Anyone checking numerical agreement of the α pipeline or lepton ladder against published data cites this module. Content is pure constant definitions; no proofs.
claimModule of experimental anchors and RS comparison bounds: CODATA 2022 $\alpha^{-1} = 137.035999177(21)$ with explicit low/high edges; PDG masses $m_e$, $m_\mu$, $m_\tau$ each with one-sigma uncertainties; and the RS-derived interval $[\alpha^{-1}_{\mathrm{RS,lo}}, \alpha^{-1}_{\mathrm{RS,hi}}]$ for direct numerical comparison.
background
Recognition Science predicts dimensionless constants and mass ratios from the forcing chain and the φ-ladder, with no free fit parameters. The inverse fine-structure constant is obtained from a closed α pipeline whose single gap term is $f_{\mathrm{gap}} = w_8 \ln\varphi$, where $w_8$ is the parameter-free 8-tick projection weight. Interval arithmetic then supplies rigorous bounds on $\alpha^{-1}$ (imported from the AlphaBounds numerics module).
Lepton masses sit on the same φ-ladder via the generation definitions (T10 lepton-generation defs): a yardstick times $\varphi$ raised to a rung corrected by a gap term in $Z$. To claim contact with experiment one needs frozen external anchors, not ad-hoc floats.
This module is that anchor layer. It stores CODATA 2022 $\alpha^{-1}$ (central value and $\sigma$, plus explicit lo/hi edges) and PDG central values and sigmas for $e$, $\mu$, $\tau$, side by side with the RS lo/hi interval for $\alpha^{-1}$.
proof idea
Definition module only: no theorems and no tactic proofs. Each declaration is a numeric constant (CODATA/PDG central value, uncertainty, or derived lo/hi edge) or the imported RS interval endpoints for $\alpha^{-1}$. Comparison logic and certified inequalities live downstream; this file only freezes the reference numbers and the RS bound pair.
why it matters in Recognition Science
Verification layer for the no-free-parameters claim. The primer fixes $\alpha^{-1}$ inside roughly $(137.030, 137.039)$; this module supplies the CODATA 2022 target $137.035999177(21)$ and the RS interval endpoints so that containment or tension can be stated as a machine-checkable fact rather than a notebook plot.
It also freezes PDG lepton masses against which the φ-ladder mass formula (yardstick $\cdot,\varphi^{\mathrm{rung}-8+\mathrm{gap}(Z)}$) is audited. Upstream inputs are Constants (including $\tau_0$), the Alpha and GapWeight pipeline ($w_8$, $f_{\mathrm{gap}}$), AlphaBounds interval certificates, and LeptonGenerations.Defs. No downstream edges are recorded yet; the module is the shared reference surface for later comparison theorems.
scope and limits
- Does not prove RS α⁻¹ lies inside the CODATA band; only stores both sides.
- Does not derive lepton masses; only records PDG central values and sigmas.
- Does not update anchors when CODATA/PDG revise; values are frozen literals.
- Does not define w₈, f_gap, or the α pipeline; those are imported.
- Does not claim statistical hypothesis tests or χ² fits.
depends on (5)
declarations in this module (29)
-
def
alphaInv_CODATA_2022 -
def
alphaInv_CODATA_2022_sigma -
def
alphaInv_CODATA_2022_lo -
def
alphaInv_CODATA_2022_hi -
def
mass_electron_PDG -
def
mass_electron_PDG_sigma -
def
mass_muon_PDG -
def
mass_muon_PDG_sigma -
def
mass_tau_PDG -
def
mass_tau_PDG_sigma -
def
alphaInv_RS_lo -
def
alphaInv_RS_hi -
theorem
alphaInv_RS_lower_verified -
theorem
alphaInv_RS_upper_verified -
theorem
alphaInv_RS_contains_CODATA -
def
alphaInv_RS_interval_width -
theorem
alphaInv_RS_interval_width_eq -
def
alphaInv_RS_relative_precision -
theorem
alphaInv_RS_precision_sub_100ppm -
structure
ComparisonResult -
def
contains_exp -
def
tension_sigma -
def
alpha_result -
theorem
alpha_result_contains_exp -
def
alphaInv_RS_center -
theorem
alphaInv_RS_center_eq -
def
alphaInv_deviation -
theorem
alphaInv_deviation_approx -
def
alpha_summary