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Classification of Higgs boson decays using machine learning with Python Computer Science

January 25, 2022

Classification of Higgs boson decays using machine learning with Python Computer Science

Classification of Higgs boson decays using machine learning with Python

Posted: 25 Jan 2022 01:59 AM PST

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

submitted by /u/biancogianluca9
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What's the most efficient way to keep yourself up to date in your field after working deeply focused in the lab all week (while experts in the field are non-stop posting amazing stuff in twitter, papers, podcasts, youtube, books, in-depth news, subreddits etc.)?

Posted: 24 Jan 2022 06:42 PM PST

submitted by /u/Irokesenschnitt
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