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May 25, 20260 citationsOpen Access

The Koch-Rindler Vacuum: Topological Mass Quantization, Biomorphic Rhythms, and the Binary Source Code of Spacetime

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LZLars Henning Zahl

Key Points

  • The aim is to validate the Asymmetric Convergence Sequence (ACS) framework in high-energy physics through empirical data.
  • Derived a self-generating algebraic framework based on first principles.
  • Utilized open-source high-energy physics data from CERN's CMS detector (Run2011A DoubleMu dataset).
  • Mapped scaling parameters to invariant mass of fundamental dimuon resonances.
  • Observed a mean absolute phase deviation from pi/4 decrease as the mass of resonances increased.
  • Light resonances like J/ψ showed significant structural asymmetry, while the heavy Z-boson phase closely aligned with pi/4 geometric attractor (mean phase = 0.7866).
  • Provided formal mathematical proofs and an analytical Python codebase for empirical validation.

Abstract

We present the Asymmetric Convergence Sequence (ACS), a self-generating algebraic framework derived fromfirst principles. The framework defines a sequence Zₙ = 1/ (2n+1) that governs the kinematic phase = (pₓ, ₂ / pₓ, ₁) of bipartite states, predicting a strict convergence towards the irrational geometric constant /4 as the iteration parameter n. We empirically validate this mathematical attractor using open-source high-energy physics data from the CMS detector at CERN (Run2011A DoubleMu dataset). By mapping the scaling parameter n to the invariant mass M of fundamental dimuon resonances, we observe a monotonic decrease in the mean absolute phase deviation from /4. While light resonances (J/ψ, M ≈ 3. 1 GeV) exhibit significant structural asymmetry, the phase of the heavy Z-boson (M ≈ 91. 2 GeV) collapses strictly onto the predicted /4 geometric attractor (mean phase = 0. 7866). This paper provides the formal mathematical proofs for the ACS framework, including a structural binary decomposition of the fine-structure constant's inverse (^-1 137), and the accompanying Python analytical codebase for reproducing the empirical validation on public CERN datasets.

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Cite This Study

Lars Henning Zahl (2026) studied this question.

synapsesocial.com/papers/6a13e81d0e02ee3982d32d35https://doi.org/10.5281/zenodo.20351026
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