https://github.com/joerihermans/hep-track-reconstruction-ml
Experiment to reconstruct particle tracks with machine learning using real CMS data from inner pixel - and silicon detector.
https://github.com/joerihermans/hep-track-reconstruction-ml
cern high-energy-physics machine-learning particle-physics
Last synced: about 2 months ago
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Experiment to reconstruct particle tracks with machine learning using real CMS data from inner pixel - and silicon detector.
- Host: GitHub
- URL: https://github.com/joerihermans/hep-track-reconstruction-ml
- Owner: JoeriHermans
- License: gpl-3.0
- Created: 2017-02-14T08:49:48.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-05-16T11:42:34.000Z (about 8 years ago)
- Last Synced: 2025-02-09T00:38:32.001Z (3 months ago)
- Topics: cern, high-energy-physics, machine-learning, particle-physics
- Language: Jupyter Notebook
- Size: 1.68 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# hep-track-reconstruction-ml
Experiment to reconstruct particle tracks with machine learning using real CMS data from inner pixel - and silicon detector.