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Primordial Photon–Dark Photon Entanglement

A research and analysis framework for testing the Photon–Dark Photon Entanglement Hypothesis, analyzing astronomical imaging data, and generating reproducible physics validation results using HST, JWST, and other observatory FITS products.
🚀 Overview

This repository provides:

Physics Validation Tests that compute predicted P–D entanglement observables.
Expected Numerical Results for cross‑checking model predictions.
Automated pipelines for running analyses on clusters (e.g., Abell 1689) and other astrophysical targets.
Jupyter notebooks for full end‑to‑end scientific workflows.
Data ingestion tools for MAST/HST/JWST FITS downloads.

📂 Repository Structure

Primordial-Photon-Dark-Photon-Entanglement/
├── Physics_Validation_Tests.py
├── Expected_Numerical_Results.py
├── utils/
│ ├── preprocessing.py
│ ├── fits_tools.py
│ └── visualization.py
├── notebooks/
│ ├── Photon_DarkPhoton_Cluster_

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Additional Project Details

Intended Audience

Aerospace, Developers, Information Technology

Programming Language

Python

Related Categories

Python Image Recognition Software, Python Object Detection Models, Python Generative AI

Registered

2025-11-20

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