Coherence-Field (Q) Simulations

This repository contains the full set of Python scripts used to generate all simulations and figures for the paper “Cosmic Dynamics from a Quantum Coherence Framework”. The code implements the phenomenological evolution of a scalar coherence field Q(x,t) through nonlinear diffusion–generation–decay dynamics, the associated gravitational-potential solver, and comparison runs under standard Newtonian gravity.Included are:• a 2-D Q-field solver and statistical analysis,• a 2-D Q-particle (tracer) clustering simulation with Poisson inversion (∇^2Φ = Q),• a 2-D Newtonian control simulation (∇^2Φ=ρ),• a 3-D Q-field solver confirming robustness of the mechanism, and• a 1-D qualitative toy model demonstrating void-driven repulsion.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17362647
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Coherence-Field (Q) Simulations

Zenodo (CERN European Organization for Nuclear Research)
Advanced Electron Microscopy Techniques and Applications
article

Coherence-Field (Q) Simulations

article en

Abstract

This repository contains the full set of Python scripts used to generate all simulations and figures for the paper “Cosmic Dynamics from a Quantum Coherence Framework”. The code implements the phenomenological evolution of a scalar coherence field Q(x,t) through nonlinear diffusion–generation–decay dynamics, the associated gravitational-potential solver, and comparison runs under standard Newtonian gravity.Included are:• a 2-D Q-field solver and statistical analysis,• a 2-D Q-particle (tracer) clustering simulation with Poisson inversion (∇^2Φ = Q),• a 2-D Newtonian control simulation (∇^2Φ=ρ),• a 3-D Q-field solver confirming robustness of the mechanism, and• a 1-D qualitative toy model demonstrating void-driven repulsion.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Advanced Electron Microscopy Techniques and Applications
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