AstroSignal

This project is currently in the preliminary stages of planning, implementation, and testing, and is subject to continuous advancements and modifications.

Table of Contents

• Overview
• Features
• Discovery of Pulsars
• Resources
• Contributing
• Contact

Overview

AstroSignal applies digital signal processing to astronomical data, enhancing the analysis of signals from celestial sources. This project leverages advanced techniques to detect and analyze signals such as pulsars, contributing to our understanding of the universe.

Features

• Signal Processing: Cutting-edge DSP algorithms tailored for astronomical data.
• Pulsar Detection: Machine learning models for identifying pulsar signals.
• Data Visualization: Visual representations of signal analysis and astronomical phenomena.

Discovery of Pulsars

Explore the Discovery of Pulsars to learn about Jocelyn Bell's groundbreaking detection of pulsars and the methods used in their discovery.

Resources

Articles and Educational Resources

1. CSIRO Pulsars: An educational overview of pulsars from the Commonwealth Scientific and Industrial Research Organisation (CSIRO).
2. Neutron Stars - NASA: Comprehensive insights into neutron stars, detailing their properties and observations.
3. NRAO Pulsars: A detailed introduction to pulsars by the National Radio Astronomy Observatory (NRAO).

Datasets

4. HTRU2 Dataset - UCI Machine Learning Repository: Lyon, R. (2015). DOI: 10.24432/C5DK6R. A dataset for pulsar candidate analysis.
5. Predicting Pulsar Stars - Kaggle Dataset: A Kaggle dataset for predicting pulsar stars based on physical attributes.

Research and News Articles

6. Astronomers Capture Radio Signal from Distant Galaxy: News article detailing the discovery of radio signals from a distant galaxy.

Additional Resources

7. Pulsar Stars Data Exploration: Exploration of the pulsar stars dataset with visual and statistical analysis.
8. Kanishk Sharma's Predicting Pulsar Stars Project: A GitHub repository demonstrating methods for predicting pulsar stars.
9. Alexandre Hsd's Pulsar Prediction Repository: GitHub repository with code and documentation for pulsar star prediction.
10. Predicting Pulsar Stars: An Imbalanced Classification Task: A blog post discussing methods to address class imbalance in pulsar prediction using resampling techniques.

Contributing

We welcome contributions from fellow astronomy enthusiasts, programmers, and students. Contributions can include:

• Bug fixes
• New features
• Additional examples
• Enhancements to existing content

Contact

For any inquiries or feedback, please contact:

Adrita Khan
📧 Email | 🔗 LinkedIn | 🐦 Twitter

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Thank you for your interest in AstroSignal!