Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines

Neutrinoless double-beta decay ( $0\nu\beta\beta$ ) is a rare nuclear process that, if observed, will provide insight into the nature of neutrinos and help explain the matter-antimatter asymmetry in the Universe. The large enriched germanium experiment for neutrinoless double-beta decay (LEGEND) wil...

Celý popis

Podrobná bibliografie

Hlavní autoři:	E León, A Li, M A Bahena Schott, B Bos, M Busch, J R Chapman, G L Duran, J Gruszko, R Henning, E L Martin, J F Wilkerson
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2025-01-01
Edice:	Machine Learning: Science and Technology
Témata:	data cleaning germanium detectors neutrinoless double beta decay machine learning artificial intelligence
On-line přístup:	https://doi.org/10.1088/2632-2153/adbb37
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!