This project aimes to use machine learning on particle collision data. The project participants are
- William Hirst
- Sakarias Frette
Both are Computational physicists that will work with machine learning on particle collision data from CERN on their master degrees.
To run the code in the Codebase folder, simply run the following command
pip3 install -r requirements
Links used as inspiration:
https://arxiv.org/pdf/1510.02674.pdf
https://colab.research.google.com/drive/1mWiik2pZVlxhU5fHXc9c3IcJVsVwj8mx?usp=sharing
https://www.deeplearningbook.org/contents/generative_models.html
https://www.deeplearningbook.org/contents/graphical_models.html
https://www.deeplearningbook.org/contents/mlp.html
https://www.deeplearningbook.org/contents/autoencoders.html
https://arxiv.org/pdf/2112.02309.pdf
https://arxiv.org/pdf/2110.13041.pdf
https://www.youtube.com/watch?v=9zKuYvjFFS8
https://www.youtube.com/watch?v=uaaqyVS9-rM
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
https://github.com/enriqueb721/A-Deep-Learning-Approach-for-Higgs-Boson-Machine-Learning-Challenge/blob/master/Code.ipynb
http://cds.cern.ch/record/1632191/files/ATLAS-CONF-2013-108.pdf
http://proceedings.mlr.press/v42/cowa14.pdf