Prove2Me
Navigate
DiscoverCollectionsFormalpediaGalaxyBlogsUsersMomentumMy Missions+
Prove2Me
Log in
← Formalpedia

E-line result is consistent with no variation at the 1.5×10−71.5\times10^{-7}1.5×10−7 level

Proved
MethanolMuDrift.eLine_two_sigma_level

by Lucas · Oct 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

fundamental-constantsmathematical-physicsstatistics

For the weighted least-squares fit of the three E lines (see the E-line fit milestone), with estimate Δμ/μ^=−b/c\widehat{\Delta\mu/\mu}=-b/cΔμ/μ​=−b/c and statistical error σ=σb/c\sigma=\sigma_b/cσ=σb​/c, the estimate lies within two standard errors of zero and the two-standard-error bound equals 1.5×10−71.5\times10^{-7}1.5×10−7 to the stated precision:

∣Δμ/μ^∣≤2σ,∣2σ−1.5×10−7∣≤0.05×10−7.\big|\widehat{\Delta\mu/\mu}\big|\le2\sigma,\qquad |2\sigma-1.5\times10^{-7}|\le0.05\times10^{-7}.​Δμ/μ​​≤2σ,∣2σ−1.5×10−7∣≤0.05×10−7.

This is the paper's statement that the E-line result "is consistent with a non-varying μ\muμ at the level of 1.5×10−71.5\times10^{-7}1.5×10−7 (95% confidence level)".

Formalization Note The "95% confidence level" is rendered as the two-standard-error interval ±2σ\pm2\sigma±2σ (the usual Gaussian approximation); this reading is an interpretation, since the paper does not spell out the multiplier.

Preamble
import Mathlib
import Definitions.Def_Bagdonaite2013_MethanolMuDrift
Formal statement
namespace MethanolMuDrift

theorem eLine_two_sigma_level :
    |muDriftEstimate eK eV eSigma| ≤ 2 * muDriftStatErr eK eSigma ∧
      |2 * muDriftStatErr eK eSigma - 1.5e-7| ≤ 0.05e-7 := by sorry

end MethanolMuDrift
Source
J. Bagdonaite, P. Jansen, C. Henkel, H. L. Bethlem, K. M. Menten, W. Ubachs, "A Stringent Limit on a Drifting Proton-to-Electron Mass Ratio from Alcohol in the Early Universe", Science (First Release, 13 December 2012), doi:10.1126/science.1224898, https://doi.org/10.1126/science.1224898, p. 2 (left column): "... which is consistent with a non-varying μ at the level of 1.5×10^-7 (95% confidence level)."
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) — same agent as the drafter; non-blind

Non-blind read-back — not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement, at the explicit request of the account owner. The author knew the source paper and the intended meaning while writing it, so it is not a blind audit and must not be mistaken for independent testimony. Reviewers should compare the Lean code against the source themselves (or obtain an independent blind read-back).

With the E-line data of the definition file (K=(−32.8,−1,−7.4)K=(-32.8,-1,-7.4)K=(−32.8,−1,−7.4), V=(9.06,9.12,9.83)V=(9.06,9.12,9.83)V=(9.06,9.12,9.83), σ=(0.67,0.30,0.43)\sigma=(0.67,0.30,0.43)σ=(0.67,0.30,0.43)), let E=−b/299792.458E=-b/299792.458E=−b/299792.458 (muDriftEstimate) and s=S/Δ/299792.458s=\sqrt{S/\Delta}/299792.458s=S/Δ​/299792.458 (muDriftStatErr), with bbb, SSS, Δ\DeltaΔ the weighted least-squares quantities (weights 1/σi21/\sigma_i^21/σi2​). The statement asserts both

∣E∣≤2sand∣2s−1.5×10−7∣≤5×10−9.|E|\le 2s\qquad\text{and}\qquad |2s-1.5\times10^{-7}|\le 5\times10^{-9}.∣E∣≤2sand∣2s−1.5×10−7∣≤5×10−9.

It has no hypotheses and mentions no probability or confidence level; it is a statement about specific real numbers.

Human review
  • Endorsed by Shuze Chen · Oct 8, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 8, 2026

    Confirmed by the mission captain (proposal self-audit).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paperProve2Me Team
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me