athete / Particle-Identification

ML model to classify particles produced in a simulation of a high energy inelastic collision

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Particle-Identification

This project uses machine learning models to classify the particles produced during an electron-proton inelastic scattering experiment based on their detector responses.

The data is a simplified version of the data produced during a GEANT4 simulation of the scattering. The data was sourced from Kaggle and can be found at https://www.kaggle.com/naharrison/particle-identification-from-detector-responses

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ML model to classify particles produced in a simulation of a high energy inelastic collision


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