Exoplanet Transit Detector

This repository contains a Python-based project for detecting exoplanet transits using light curve data from the TESS and Kepler missions. The project is modular, scalable, and designed for advanced astronomical data analysis.

Features

• Data Fetching: Automatically downloads raw light curve data from the MAST/TESS portal.
• Data Processing: Cleans and processes raw light curve data to highlight transit signals.
• Transit Detection: Detects potential exoplanet transits using the Box Least Squares (BLS) algorithm.
• Visualization: Generates visual plots of raw and processed data, along with transit metrics.
• Database and Storage: Uses Oracle Database for metadata and MinIO Object Storage for visualizations.
• Web Integration: Displays results dynamically on a website.
• AI Integration (Planned): Incorporates machine learning for exoplanet classification and prediction.

Architecture

The project follows a modular architecture:

graph TD
    Z[MAST/TESS Portal] -->|Fetches raw data| A[Data Download Module]
    A -->|Downloads raw data| B[Process Light Curve Module]
    B -->|Processes and cleans data| C[Analyze Module]
    C -->|Analyzes for transits| D[Visualize Results Module]
    D -->|Generates plots and saves| E[MinIO Object Storage]
    D -->|Stores visualization metadata| F[Oracle Database]
    F -->|Provides visualization metadata| H[Website Display Module]
    E -->|Provides visualized data| H
    A -->|Stores metadata| F
    C -->|Stores analysis results| F
    F -->|Provides metadata and results| G[AI Integration Module]
    E -->|Provides visualized data| G

    subgraph Database and Storage
        F
        E
    end

    subgraph AI Integration
        G
    end

    subgraph Website
        H
    end

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Installation

Prerequisites

• Python 3.8+
• Virtual environment tools (e.g., venv, conda)
• Oracle Database (optional for metadata storage)
• MinIO Object Storage (optional for visualization storage)

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/exoplanet-transit-detector.git
   cd exoplanet-transit-detector

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # For Unix/Mac
   venv\Scripts\activate   # For Windows

3. Install required libraries:

   pip install -r requirements.txt

4. Configure the project:
   • Edit config.json to specify your database, storage, and analysis preferences.

Usage

1. Fetch Star IDs

Run the script to fetch star IDs from the TESS catalog:

python Data_Download_Module/scripts/fetch_star_ids.py

2. Fetch Light Curve Data

Download raw light curve data for the fetched star IDs:

python Data_Download_Module/scripts/fetch_star_data.py

3. Process Light Curves

Clean and process raw light curve data:

python Process_Light_Curve_Module/scripts/process_lightcurve.py

4. Analyze for Transits

Analyze processed light curves for potential transits:

python Analyze_Module/scripts/analyze_transits.py

5. Visualize Results

Generate visualizations for detected transits:

python visualize_transits_module/scripts/generate_plot.py <path_to_results_file>

Configuration

Key settings can be modified in config.json:

• Catalog Query: Define star brightness range and catalog parameters.
• Data Paths: Specify directories for raw, processed, and visualized data.
• BLS Parameters: Customize the period and duration ranges for transit detection.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m "Add new feature").
4. Push to your branch (git push origin feature-branch).
5. Create a pull request.

License

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

Acknowledgments

• Lightkurve: For light curve analysis.
• Astroquery: For querying astronomical databases.
• Matplotlib: For data visualization.

Contact

For any questions or suggestions, feel free to reach out:

• Email: simran.proton@yahoo.com
• GitHub: https://github.com/Downforcedemon