https://github.com/mirsazzathossain/radio-galaxy-classifier

RGC, A Python package for processing and classifying radio galaxy images 📡🧠. The acronym also pays tribute to Radha Govinda Chandra 🔭, a pioneering variable star observer.
https://github.com/mirsazzathossain/radio-galaxy-classifier

data-cleaning radio-astronomy radio-galaxy-classification radio-imaging

Last synced: 7 months ago
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RGC, A Python package for processing and classifying radio galaxy images 📡🧠. The acronym also pays tribute to Radha Govinda Chandra 🔭, a pioneering variable star observer.

• Host: GitHub
• URL: https://github.com/mirsazzathossain/radio-galaxy-classifier
• Owner: mirsazzathossain
• License: agpl-3.0
• Created: 2024-09-14T08:37:12.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-17T03:43:51.000Z (11 months ago)
• Last Synced: 2025-03-14T16:06:10.092Z (7 months ago)
• Topics: data-cleaning, radio-astronomy, radio-galaxy-classification, radio-imaging
• Language: Python
• Homepage: https://mirsazzathossain.github.io/radio-galaxy-classifier/
• Size: 903 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# RGC: Radio Galaxy Classifier 📡✨

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Welcome to **RGC** (Radio Galaxy Classifier) — a Python package designed to process and classify radio galaxy images with ease! 🌌 The acronym also alludes to **Radha Govinda Chandra** (1878–1975), a Bangladeshi-Indian variable star observer who made significant contributions to astronomy. 🔭✨

### Features 🚀

- 📊 **Data Preprocessing**: Simplifies handling of radio images.

- 🧠 **Classification Tools**: Provides tools for categorizing Narrow-Angle Tailed (NAT) and Wide-Angle Tailed (WAT) galaxies.

- 🛠️ **Customizable Pipelines**: Build flexible pipelines for image analysis.

### Documentation 📚  

Find detailed guides and examples at **[Documentation](https://mirsazzathossain.github.io/radio-galaxy-classifier/)**.

Get started quickly by installing with:

```bash

pip install rgc

```

Explore the tools and contribute to enhancing radio galaxy research! 💫