Obálka

Domain Generalization with Machine Learning in the NOvA Experiment

This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or determine their energies in detectors such as those used in the NOvA neutrino experiment, which...

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Podrobná bibliografie
Hlavní autor:	Sutton, Andrew T.C (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Vydání:	1st ed. 2023.
Edice:	Springer Theses, Recognizing Outstanding Ph.D. Research,
Témata:	Particles (Nuclear physics). Particle accelerators. Measurement. Measuring instruments. Machine learning. Mathematical physics. Computer simulation. Particle Physics. Accelerator Physics. Measurement Science and Instrumentation. Machine Learning. Computational Physics and Simulations.
On-line přístup:	https://doi.org/10.1007/978-3-031-43583-6
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

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