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

First Author: Sirunyan A

Attributed to: Support for Particle Physics at Brunel University 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