KhamessiTaha/HRTU2-Pulsar-Detection

A comprehensive machine learning pipeline for detecting pulsars in the HTRU2 dataset.

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Experimental

This project helps radio astronomers and astrophysicists automatically identify pulsars from large radio survey datasets. By inputting raw astronomical signal data (like from the HTRU2 survey), it outputs a classification indicating whether a signal is a pulsar or a non-pulsar, along with insights into which signal characteristics were most important for the decision. This allows researchers to quickly sift through vast amounts of data and focus on promising candidates for further study.

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Use this if you need a robust, automated way to classify potential pulsars from radio telescope data, especially when dealing with imbalanced datasets where pulsars are rare.

Not ideal if you need to analyze highly specialized signal types beyond the typical integrated profile and DM-SNR curve statistics, or if your primary interest is in real-time signal processing rather than post-survey analysis.

radio-astronomy pulsar-detection astronomical-surveys signal-classification astrophysics-research
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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7

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Language

Python

License

MIT

Last pushed

Jun 29, 2025

Commits (30d)

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