andri27-ts/GoldTrackML
TrackML Particle Tracking
This project helps high-energy physicists or researchers working with particle collision data to accurately identify and reconstruct particle trajectories. It takes raw 'hits' of particles in a detector and outputs precisely defined particle tracks. Particle physicists and experimental scientists working at facilities like CERN would use this.
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Use this if you need to precisely identify particle tracks from raw detector data to analyze particle physics experiments.
Not ideal if you are not working with particle tracking data or if you require real-time processing of streaming detector events, as this is optimized for batch processing.
Stars
7
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1
Language
Python
License
MIT
Category
Last pushed
Aug 26, 2018
Commits (30d)
0
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