Dipole Sea Polarization Model
Velocity and distance-dependent polarization model for the DP Sea.
Summary
Plain language summary will be AI-generated in Phase 4 (enrichment layer). This will provide an accessible overview for non-specialists.
Technical summary will be AI-generated in Phase 4. This will provide a concise expert-level overview with key equations and results.
Detailed technical analysis will be AI-generated in Phase 4. This will walk through the full derivation with commentary.
PDF & Paper
LaTeX Sources Available
This paper has LaTeX source files but no compiled PDF yet. PDFs will be generated after the audit is complete.
DP-Sea-Polarization-Model.tex
Figures
Figures will be generated after the Opus 4.6 audit is complete
Code & Notebooks
Development Notes
DP Sea Polarization Model
This subdirectory develops the velocity- and distance-dependent polarization of the Dipole Particle (DP) Sea — the proposed microscopic mechanism for the "silly putty" behavior of space under motion of unpaired Conscious Points (CPs).
Core Idea
- The DP Sea polarizes in response to CP motion.
- Polarization is rate-dependent (slow → transparent; fast → viscous → rigid) and distance-dependent (stronger near the CP).
- This gives rise to velocity-dependent drag, inertial mass increase, Lorentz γ(v) emergence, and possible absolute-frame signatures.
Files
DP-Sea-Polarization-Model.ipynb— executable Jupyter notebook with derivations, plots, parameter sweepsDP-Sea-Polarization-Model.tex— publication-ready LaTeX sourcefigures/— generated plots and diagrams
How to Run
1. Open in Jupyter Lab / Notebook / VS Code / Google Colab
2. Install dependencies:
pip install numpy scipy matplotlib sympy
Ecosystem Map
Where this paper sits in the CPP framework — connections to other derivations and topics.
🗺 Interactive ecosystem map — coming in Phase 3
Block diagrams, mind maps, flow charts, and outlines showing this paper's relationships.
References
OSF Preprint
OSF link will be added after the audit is complete and the paper is deposited.
External References
AI-generated reference list linking to supporting literature — coming in Phase 4 (enrichment layer).
Media & Coverage
🎬 YouTube dramatization and media links — coming soon
Version History
Full version history with archived assets will be populated from git log in a future update.
Journal Articles
Based on this paper
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