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DOE OSTI · 2405950

Mu2e: Modeling Drift of Ionized Particles with ML

Nguyen, Hien·Bonventre, Richard J.·Kolomensky, Yury
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Abstract

The Mu2e experiment searches for charged lepton flavor violation through muon-to-electron conversion in the field of a nucleus. The signal is a monoenergetic electron with an energy of 104.97 MeV. Its momentum is reconstructed using information from drifting ionized particles in a straw tracker detector. This project analyzes the drift of ionized particles with a deep neural network to help improve the momentum reconstruction process. The model yields a 20% improvement in resolution from a reference linear model.

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Nguyen, Hien, Bonventre, Richard J., Kolomensky, Yury. 2024-07-15. Mu2e: Modeling Drift of Ionized Particles with ML. https://www.osti.gov/biblio/2405950

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