The Torsional Origin of Relativity (TOR) derives approximately 45 quantitative predictions from the geometry of the Berger-squashed five-sphere at squashing parameter s² = 3/7, using only pi, e, and the electron mass as inputs with zero free parameters. This paper argues that the five-sphere is the minimal compact geometry compatible with seven simultaneously imposed constraints: self-similar fractal iteration, torsional dynamics, a free circle action, Sasakian contact structure, dimensional consistency, flow stability, and agreement with the observed particle spectrum. Three principal results are presented. First, we derive the constant pi in the mass formula m = A piB mₑ from the Sasakian geometry of the Hopf bundle: Chern-class quantisation plus canonical Fubini-Study normalisation gives pi, orbit-coherence follows from commutativity of the Laplacian with the Reeb Killing field, and the half-cycle domain is selected by the injectivity radius. Second, we show that the particle mass spectrum maps onto the stellar mass spectrum under the identification m/mₚ to M/Mₛun, with particles landing at critical astrophysical transitions (pair-instability, Chandrasekhar, TOV, burning thresholds) with errors of 2-20% and zero adjusted parameters. Third, we argue for the selection of the five-sphere through systematic elimination: seven necessary conditions exclude all examined compact Riemannian candidates except S⁵ at s² = 3/7, contingent on conjectures noted in the text. Predictions include 17 particle masses (0. 71% mean tree-level error), three coupling constants (electromagnetic, weak mixing angle, strong), the cosmic energy budget (Omegaₘ = 1/3, OmegaLambda = 2/3), the Hubble constant (67. 5 km/s/Mpc), CKM and PMNS mixing matrices, and a closed particle spectrum with no superpartners or additional Higgs bosons. All results use PDG 2024 values for comparison. The framework contains no free parameters. Work in progress. Feel free to contact me, verify or falsify. Tor. rossing. oberg@gmail. com
Building similarity graph...
Analyzing shared references across papers
Loading...
Tor Ivar Lars Rossing Öberg
Building similarity graph...
Analyzing shared references across papers
Loading...
Tor Ivar Lars Rossing Öberg (Tue,) studied this question.
www.synapsesocial.com/papers/6996a8e3ecb39a600b3f0154 — DOI: https://doi.org/10.5281/zenodo.18672922