Summary

The Dipole Sea isn't just a passive background -- it responds to particles moving through it. This paper models how the sea polarizes in response to CP

CP
Fundamental processor at each lattice vertex
View in map → motion: slow-moving particles pass through transparently, but as speed increases the sea becomes viscous, then rigid. This velocity-dependent drag is the microscopic mechanism behind inertial mass and the emergence of the Lorentz factor gamma(v). The sea behaves like "silly putty" -- soft when pushed slowly, rigid when hit fast.

🔊 Audio reading โ€” coming soon

Velocity- and distance-dependent DP Sea polarization. Slow motion: transparent. Fast: viscous -> rigid. Produces velocity-dependent drag, inertial mass increase, Lorentz gamma(v) emergence. Possible absolute-frame signatures. Implemented via Jupyter notebook with derivations, plots, parameter sweeps.

🔊 Audio reading โ€” coming soon

Full polarization model, connection to Lorentz invariance, possible absolute-frame signatures, computational implementation.

🔊 Audio reading โ€” coming soon

PDF & Paper

dp-sea-polarization.pdf

Figures

Figures will be generated after the Opus 4.6 audit is complete

Code & Notebooks

Development Notes

README

DP Sea Polarization Model

This subdirectory develops the velocity- and distance-dependent polarization of the Dipole Particle (DP) Sea โ€” 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 โ†’ transparent; fast โ†’ viscous โ†’ rigid) and distance-dependent (stronger near the CP).
  • This gives rise to velocity-dependent drag, inertial mass increase, Lorentz ฮณ(v) emergence, and possible absolute-frame signatures.

Files

  • DP-Sea-Polarization-Model.ipynb โ€” executable Jupyter notebook with derivations, plots, parameter sweeps
  • DP-Sea-Polarization-Model.tex โ€” publication-ready LaTeX source
  • figures/ โ€” 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 โ€” connections to other derivations and topics.

🗺 Interactive ecosystem map โ€” 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 โ€” coming in Phase 4 (enrichment layer).

Media & Coverage

🎬 YouTube dramatization and media links โ€” coming soon

Version History

2026-01-29 · 3f4ee4c
Create DP-Sea-Polarization-Model.ipynb
2026-01-29 · 1ec52b5
Create DP-Sea-Polarization-Model.tex
2026-01-21 · b6b4f44
Create README.md

View full history on GitHub →

Journal Articles

Based on this paper

No journal submissions yet. This section will be updated when formal publications reference this work.

Repository Files

dp-sea-polarization
dp-sea-polarization/
README.md
DP-Sea-Polarization-Model.tex
DP-Sea-Polarization-Model.ipynb
hyperphysics.com ยท Generated from CPP Repository ยท © 2026 Thomas Lee Abshier, ND