Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques (2020)

First Author: Sirunyan A
Attributed to:  GridPP5 Brunel University London Staff Grant funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/1748-0221/15/06/P06005

Publication URI: http://dx.doi.org/10.1088/1748-0221/15/06/P06005

Type: Journal Article/Review

Parent Publication: Journal of Instrumentation

Issue: 06

ISSN: 1748-0221