Machine learning in experimental neutrino physics

Neutrino physics has entered into the era of precision measurements. Over the last two decades, significant efforts have been made to measure precise parameters of the PMNS matrix, which describes neutrino oscillation phenomena. The next generation neutrino experiment will prioritize measuring lepto...

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Veröffentlicht in:	The European physical journal. ST, Special topics Jg. 233; H. 15-16; S. 2687 - 2698
1. Verfasser:	Poonthottathil, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2024 Springer Nature B.V
Schlagworte:	Algorithms Antimatter Atomic Charged particles Classical and Continuum Physics Condensed Matter Physics Cosmic rays CP violation Experiments Machine learning Materials Science Measurement Science and Instrumentation Modern Machine Learning and Particle Physics: An In-Depth Review Molecular Neural networks Neutrinos Optical and Plasma Physics Parameters Physics Physics and Astronomy Review Sensors Topology
ISSN:	1951-6355, 1951-6401
Online-Zugang:	Volltext
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