GIFT

Assets

This directory contains interactive assets and tools for the GIFT framework.

Structure

assets/
├── twitter_bot/           # Automated Twitter bot for GIFT content
│   ├── content_generator_en.py    # English content generator
│   ├── twitter_bot_v2.py          # Main bot script (API v2)
│   ├── scheduler.py               # Automated scheduler
│   ├── config.py                  # Bot configuration (API keys)
│   └── README.md                  # Bot documentation
│
└── visualizations/        # Interactive visualizations
    ├── e8_root_system_3d.ipynb    # E₈ root system 3D visualization
    ├── precision_dashboard.ipynb   # Precision comparison dashboard
    ├── dimensional_reduction_flow.ipynb  # Dimensional reduction animation
    └── outputs/                    # Generated figures and HTML

Twitter Bot

The GIFT Twitter Bot automatically posts daily scientific content about the framework:

• Daily posts: 9:00 AM (random content)
• Weekly summaries: Monday 10:00 AM
• Monthly highlights: 1st of month 11:00 AM
• Content types: 8 different categories (precision, math, experimental, etc.)
• Language: English (international audience)

Quick Start

cd assets/twitter_bot
pip install -r requirements.txt
python twitter_bot_v2.py

Automated Scheduling

cd assets/twitter_bot
python scheduler.py

Visualizations

Interactive Jupyter notebooks for exploring the GIFT framework:

• E₈ Root System: 3D visualization of the 240-root structure
• Precision Dashboard: All 34 observables vs experimental data
• Dimensional Reduction: Animation of E₈×E₈ → AdS₄×K₇ → SM

Running Visualizations

cd assets/visualizations
jupyter notebook

Or use online platforms:

• Binder
• Google Colab

Documentation

• Twitter Bot: See assets/twitter_bot/README.md for complete setup instructions
• Visualizations: See assets/visualizations/README.md for detailed usage
• Main Framework: See root README.md for theoretical background

Contributing

Contributions to assets are welcome! Please see CONTRIBUTING.md for guidelines.

Twitter Bot Contributions

• New content templates
• Improved scheduling options
• Additional language support
• Enhanced error handling

Visualization Contributions

• New interactive plots
• Additional parameter exploration
• Performance optimizations
• Export format improvements

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