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| Format: | Recurso digital |
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Zenodo
2026
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| Online-Zugang: | https://doi.org/10.5281/zenodo.19079264 |
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- <h1>Description</h1> <p>This repository provides the full reproducibility package for the study:</p> <p><strong>“Separation of Three-Layer Propagation Speeds and Structural Upper Bound in Causal Update Cosmology”</strong></p> <h2>Overview</h2> <p>This dataset contains all simulation codes, raw outputs, processed data, and figures used to demonstrate the existence of a three-layer propagation speed structure in Causal Update Cosmology (CUC) systems.</p> <p>The study shows that propagation speeds separate into three distinct layers:</p> <ul> <li> <p>Structural boundary (fixed at unity)</p> </li> <li> <p>Dynamic boundary (dependent on coupling strength)</p> </li> <li> <p>Front speed (observable propagation speed)</p> </li> </ul> <p>The results provide numerical evidence that the maximum causal propagation speed is a structural constraint rather than an empirically determined quantity.</p> <h2>Contents</h2> <p>The repository is organized as follows:</p> <ul> <li> <p><strong>src/</strong><br>Simulation and analysis scripts</p> <ul> <li> <p><code>s016_*</code>: core simulation kernel</p> </li> <li> <p><code>s017_*</code>: front and boundary extraction</p> </li> <li> <p><code>s018_*</code>: plotting and figure generation</p> </li> </ul> </li> <li> <p><strong>data/</strong><br>Raw simulation outputs (JSON format)</p> <ul> <li> <p><code>f026_*</code>: parameter sweep (D dependence)</p> </li> <li> <p><code>f027_*</code>: gamma dependence</p> </li> </ul> </li> <li> <p><strong>figures/</strong><br>Final figures used in the paper</p> <ul> <li> <p><code>f028_*</code>: publication-ready plots (PNG/PDF)</p> </li> </ul> </li> <li> <p><strong>tables/</strong><br>Processed numerical summaries (CSV)</p> </li> </ul> <h2>Reproducibility</h2> <p>All results in the paper can be reproduced by executing the provided scripts in sequence:</p> <ol> <li> <p>Run simulation:</p> <pre><code>python src/s017_*.py </code></pre> </li> <li> <p>Generate figures:</p> <pre><code>python src/s018_*.py </code></pre> </li> </ol> <p>All outputs are saved in structured JSON format to ensure transparency and reproducibility.</p> <h2>Simulation Parameters</h2> <p>The main simulations use:</p> <ul> <li> <p>System size: L = 201</p> </li> <li> <p>Time steps: T = 500</p> </li> <li> <p>Neighborhood radius: k = 1</p> </li> <li> <p>Threshold: θ = 0.20</p> </li> <li> <p>Quantile for front detection: q = 0.999</p> </li> <li> <p>Window range: r = 5–55</p> </li> <li> <p>Seeds: 12</p> </li> </ul> <h2>Notes</h2> <ul> <li> <p>All figures in the associated paper are generated directly from the included JSON data.</p> </li> <li> <p>No manual post-processing or data selection was performed beyond the documented pipeline.</p> </li> <li> <p>The code is designed for clarity and reproducibility rather than performance optimization.</p> </li> </ul> <h2>Related Work</h2> <p>This dataset supports the CUC research series, including:</p> <ul> <li> <p>CUC1–CUC9 (Zenodo DOIs)</p> </li> <li> <p>The Four Gates framework</p> </li> <li> <p>Structural inevitability of relativity, quantum theory, and gravitation</p> </li> <li> <p>Finite maximum causal propagation speed</p> </li> <li> <p>Causal update accounting framework</p> </li> </ul> <h2>License</h2> <p>This repository is released for academic and research use. Please cite the associated paper when using this data.</p> <h2>Author</h2> <p>TI</p> <h2>Acknowledgement</h2> <p>This work was conducted with substantial assistance from artificial intelligence tools, particularly ChatGPT (OpenAI), which supported code generation, data processing workflows, figure generation, and manuscript drafting. The author directed the research design, conceptual framework, and interpretation of results.</p>