Unified Theory Application

A sophisticated web application that explores the integration of fundamental physical theories through computational modeling and visualization. This project combines modern web technologies with physics simulations to create an interactive platform for studying unified theories.

Project Overview

The Unified Theory Application is designed to:

• Model and simulate interactions between different physical forces
• Visualize complex physical phenomena in real-time
• Explore relationships between various theoretical frameworks
• Provide an interactive interface for physics experimentation

Interactive visualization of quantum field interactions and relativistic effects

Key Components

• Physics Subsystems:
  • Quantum Field Theory (Basic visualization complete, advanced calculations upcoming)
  • General Relativity (Metric visualization complete, geodesic calculations upcoming)
  • Electromagnetic Forces (Basic field visualization complete, Maxwell solver upcoming)
  • Statistical Mechanics (Ideal gas calculations complete, quantum statistics upcoming)
  • Cosmological Models (Basic FLRW model complete, perturbation theory upcoming)

Installation

Prerequisites

• Docker and Docker Compose
• Node.js >= 14.0.0
• Python >= 3.8
• npm >= 6.14.11

Quick Start with Docker

# Clone the repository
git clone https://github.com/yourusername/unified-theory.git
cd unified-theory

# Build and run with Docker Compose
docker-compose up --build

The application will be available at http://localhost:5001

Manual Setup

1. Backend Setup:

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

2. Frontend Setup:

cd react_app
npm install
npm run build

3. Run the Application:

# From the project root
flask run --host=0.0.0.0 --port=5001

Project Structure

unified-theory/
├── app/                    # Flask backend
│   ├── __init__.py        # App initialization
│   ├── event_bus.py       # Event management (Upcoming)
│   └── subsystems/        # Physics modules (In Progress)
├── react_app/             # React frontend
│   ├── src/              # Source code
│   └── public/           # Static assets
├── CMBRTokenization/     # Cosmic background analysis (Upcoming)
├── LavaSessions/         # Data processing modules (Upcoming)
├── universe/             # Universe simulation (In Progress)
└── docker-compose.yaml   # Container orchestration

Features

Physics Simulation (In Progress)

• Real-time calculation of physical interactions
• Integration of multiple theoretical frameworks (Upcoming)
• Visualization of complex phenomena

User Interface

• Interactive 3D visualizations
• Real-time data updates
• Customizable parameters
• Experimental setup configuration (Upcoming)

System Architecture

• Event-driven communication (Upcoming)
• Modular subsystem design
• Scalable containerized deployment
• RESTful API endpoints

Development

Running Tests (Upcoming)

# Backend tests
python -m pytest

# Frontend tests
cd react_app
npm test

Code Style

• Python: Follow PEP 8 guidelines
• JavaScript: ESLint with React recommended config
• Use type hints in Python code
• Maintain consistent documentation

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'feat: Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with modern web technologies
• Inspired by theoretical physics principles
• Powered by open-source scientific computing libraries

Roadmap

Phase 1 (Current)

• Basic visualization components
• Docker containerization
• React frontend with Material UI
• Physics calculation engines
• Real-time visualization updates

Phase 2 (Upcoming)

• Event-driven architecture
• Advanced physics calculations
• Quantum field simulations
• Geodesic trajectory plotting
• Maxwell's equations solver

Phase 3 (Planned)

• Machine learning integration
• GPU acceleration
• VR/AR visualization support
• Collaborative features
• Research data export