dc.contributor.author | The NA62 collaboration | |
dc.date.accessioned | 2025-01-21T12:00:46Z | |
dc.date.available | 2025-01-21T12:00:46Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1126-6708 | |
dc.identifier.other | doi.org/10.1007/JHEP11(2023)138 | |
dc.identifier.uri | http://rep.enu.kz/handle/enu/20976 | |
dc.language.iso | en | ru |
dc.publisher | Journal of High Energy Physics | ru |
dc.relation.ispartofseries | Volume 2023, article number 138; | |
dc.subject | Fixed Target Experiments | ru |
dc.subject | Branching fraction | ru |
dc.subject | Rare Decay | ru |
dc.subject | Flavour Physics | ru |
dc.title | Improved calorimetric particle identification in NA62 using machine learning techniques | ru |
dc.type | Article | ru |