Magnetic Observatory Data Viewer

A comprehensive Python application for visualizing and analyzing geomagnetic data from Turkish and Australian observatories.

Features

• Real-time data fetching from INTERMAGNET through BGS GIN Services
• Interactive visualization of magnetic field components (H, D, Z, F)
• Advanced data analysis tools:
  • FFT Analysis
  • Disturbance Detection (Sudden Storm Commencements, Substorms)
  • Quality Control
  • Statistical Analysis
  • 3D Field Visualization
  • Polar Plot Analysis
  • Spectrogram Analysis
• Real-time insights panel with:
  • Component Statistics
  • Frequency Analysis
  • Quality Metrics
  • Disturbance Detection
  • Field Vector Analysis
• Support for multiple data orientations (XYZ, HDZ)
• Export capabilities (CSV, Excel, PDF Reports)
• K-index monitoring

Installation

# Clone the repository
git clone https://github.com/comoglu/magnetic_observatory.git
cd magnetic_observatory

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

# Install dependencies
pip install -r requirements.txt

Dependencies

• Python 3.8+
• PyQt5
• plotly
• numpy
• pandas
• scipy
• aiohttp
• xlsxwriter
• PyQtWebEngine (for advanced visualizations)

Usage

Run the main application:

python magdata_viewer.py

1. Select a magnetic observatory from the dropdown menu
2. Choose your data parameters:
   • Date range
   • Sample rate (Minute/Second)
   • Publication state
   • Data orientation
3. Click "Fetch Data" to retrieve and visualize the data

Data Analysis

The application provides seven main analysis tabs:

1. FFT Analysis: Frequency analysis of magnetic components
2. Disturbance Analysis: Detection of magnetic storms and events
3. Quality Analysis: Data quality metrics and gap detection
4. Statistics: Statistical analysis and coordinate transformations
5. 3D Visualization: Interactive 3D view of magnetic field components
6. Polar Plot: Directional analysis of magnetic field variations
7. Spectrogram: Time-frequency analysis for identifying wave patterns

Supported Observatories

Turkey

• IZN (Iznik)
• ISK (Istanbul)

Australia

• ASP (Alice Springs)
• CKI (Cocos Islands)
• CNB (Canberra)
• CTA (Charters Towers)
• GNA (Gnangara)
• GNG (Gingin)
• KDU (Kakadu)
• LRM (Learmonth)
• MAW (Mawson)
• MCQ (Macquarie Island)

Code Structure

magnetic_observatory/
├── magdata_viewer.py       # Main application
├── utils/
│   ├── constants.py        # Configuration constants
│   ├── data_handlers.py    # Data processing utilities
│   └── logging_config.py   # Logging configuration
├── analyzers/
│   ├── base_analyzer.py    # Base analysis class
│   ├── disturbance.py      # Disturbance detection
│   ├── orientation.py      # Coordinate transformations
│   └── quality.py          # Quality control
└── ui/
    ├── components.py       # UI components
    └── analysis_dialog.py  # Analysis interface

Contributing

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

License

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

Acknowledgments

• Data provided by INTERMAGNET
• BGS Geomagnetism Information Node Services
• Kandilli Observatory and Earthquake Research Institute
• Geoscience Australia

Contact

For questions and support:

• Email: comoglu AT gmail.com
• GitHub: @comoglu