2025/01/01 by Wollbold, Jurgen
Physics and Astronomy · Earth and Planetary Sciences · #Pulsars and Gravitational Waves Research #Cold Fusion and Nuclear Reactions #Gamma-ray bursts and supernovae
paper · doi:10.17605/osf.io/u8b4e
This paper presents the first experimentally testable prediction of a geometric spacetime model in which atomic structure is directly modified by gravitational fields. Within the Methane Metauniverse (MMU) framework, spacetime is described as a dual tetrahedral elastic lattice whose internal deformation modes generate electric, magnetic, spin, and gravitational behavior. The model predicts that strong gravitational environments do not only redshift photons, but also compress the internal geometric length of the fundamental UR cell. This compression modifies the intrinsic stiffnesses that control atomic transition energies. Using explicit numerical simulations of the MMU K matrix, the study identifies three clear and falsifiable gravitational signatures: Enhancement of the Lamb shift through the torsion volume coupling. Enhancement of the Zeeman splitting through the electric torsional coupling. A small blue shift of the Balmer H alpha line through the Coulomb stiffness. These effects arise from a simple geometric rule: a gravitational field reduces the internal length a, which increases all internal stiffnesses because they scale with a to the power of minus three. As a result, all atomic transition energies increase in a predictable way. The corresponding spectral lines shift by an amount proportional to the gravitational compression parameter. These effects are not part of standard quantum electrodynamics or general relativistic redshift and therefore provide a unique and testable prediction of the MMU model. The predicted shifts fall in measurable ranges for white dwarfs, neutron stars, and magnetars. The results offer a direct way to test whether atomic structure is influenced by the internal geometry of spacetime itself. This work also demonstrates how human geometric intuition and AI assisted reasoning can be combined to build a coherent, self consistent, and predictive physical theory. Human directed hypotheses are supported by AI based algebraic refinement, long term corpus consistency, and reproducible numerical simulations. All figures, simulation scripts, and source files are openly included for independent verification.