Simulating the vacuum as a superfluid to derive Alpha = 1/137
This repository contains Python simulation code designed to validate the Born-Infeld vacuum shockwave model. Associated Paper: https://doi.org/10.5281/zenodo.17695129 - GitHub - moseszhu999/geometric-vacuum-sim: This repository contains Python simulation code designed to validate the Born-Infeld vac
Simulating the vacuum as a superfluid to derive Alpha = 1/137 launched on November 24, 2025 with 5 votes, #4,178 of 9,795 launches that month and more than 75% of that year's launches.
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This repository contains Python simulation code designed to validate the Born-Infeld vacuum shockwave model. Associated Paper: https://doi.org/10.5281/zenodo.17695129 - GitHub - moseszhu999/geometric-vacuum-sim: This repository contains Python simulation code designed to validate the Born-Infeld vacuum shockwave model. Associated Paper: https://doi.org/10.5281/zenodo.17695129
This repository contains the Python simulation code supporting the research on Geometric Dynamics and the Vacuum Compressibility hypothesis. These scripts were used to generate the data and plots for the paper: "LHC Anomalies as Hydrodynamic Shockwaves in the Cosmic Superfluid" (Zhu, 2025). The Institute of Geometric Dynamics (IGD) proposes that the vacuum is not empty space but a Superfluid Bose-Einstein Condensate composed of discrete "Space-Time Pixels" (Planck scale). This framework offers geometric explanations for several fundamental anomalies: git clone https://github.com/moseszhu999/geometric-vacuum-sim.git cd geometric-vacuum-sim pip install -r requirements.txt Running the…from github.com
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