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...
Saved in:
| Main Authors: | 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 |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | Machine Learning: Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2632-2153/adbb37 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scotogenic dark matter from gauged B−L
by: Yadir Garnica, et al.
Published: (2025-09-01) -
Uncertainty evaluation in activity measurements with HPGe using two relative methods
by: Maria Candida Moreira de Almeida, et al.
Published: (2022-12-01) -
Data analysis of the internal background measurements of 40Ca100MoO4 scintillation crystals
by: N. D. Khanbekov, et al.
Published: (2013-06-01) -
Radioactivity assessment of selected samples of foodstuffs in the local market
by: Esam S. Ali, et al.
Published: (2022-12-01) -
Development and Research of the MZU20D AirSieve Grain Cleaning Machine
by: P. A. Savinykh, et al.
Published: (2020-06-01)