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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20301233 |
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Table of Contents:
- <h1>Goston Audit Dynamics Framework — Proxima Centauri Planetary Detection</h1> <p>This release contains the complete, reproducible Python source codes, analytical datasets, and the draft paper titled <strong>"Non-linear Gravitational Deficit: An Audit Dynamics Detection Model for Planetary Orbital Drift in M-Dwarf Systems"</strong>.</p> <p>This repository provides the core computational ledger used to isolate and validate the newly identified wandering planetary entity at <strong>0.8433 AU</strong> within the Proxima Centauri system.</p> <h2> Core Digital Assets Included</h2> <h3>1. <code>goston_dwarf_system_audit.py</code></h3> <ul> <li>Implements second-order gravitational residual stripping across M-dwarf resonance chains (calibrated using the TRAPPIST-1 system).</li> <li>Isolates pure underlying gravitational signals by subtracting non-linear electromagnetic magneto-drag impedance ($Z \propto B^{1.5}$).</li> </ul> <h3>2. <code>goston_long_term_stability.py</code></h3> <ul> <li>Executes a 365-day time-series correlation analysis.</li> <li>Demonstrates that the persistent <strong>12.80s gravitational residual</strong> in Proxima Centauri is completely decoupled from stellar spot cycles ($r = 0.0000$), confirming a rigid physical entity.</li> </ul> <h3>3. Empirical Transit Prediction Asset</h3> <ul> <li>Integrates the Magneto-Drag Precession factor into the modified Keplerian framework.</li> <li>Locks down the high-purity golden observation window for the next transit event: <strong>September 15 – 18, 2026</strong>.</li> </ul> <h2> Getting Started & Reproducibility</h2> <p>To audit the celestial physical ledger and reproduce the Proxima Centauri orbital anomaly analysis:</p> <pre><code class="language-bash"># Clone the repository git clone [https://github.com/gostonbang/Astrophysics.git](https://github.com/gostonbang/Astrophysics.git) cd Astrophysics # Run the long-term time-series stability audit python goston_long_term_stability.py </code></pre>