Hi everybody, I want to present you a project I developed some months ago using Python and machine learning within particle physics topics.
Topic: study of the Higgs boson Yukawa coupling to tau leptons using the 2012 ATLAS Run-2 dataset. Particular focus is dedicated to the usage of machine learning classification algorithms to classify the Higgs decay channel H to tautau as signal with respect to the other background processes.
For the classification have been considered the cases in which there are 0,1 or 2 jets in the final state.
Data was taken from the Higgs challenge kaggle dataset.
Let me know what do you think and don't forget to leave a star if you like it!
Github: repository: https://github.com/JustWhit3/higgs-decay-classification
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