Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques › Research Explorer

DOI

https://doi.org/10.1088/1748-0221/15/06/P06005
Final published version

The CMS collaboration

Original language	English
Article number	P06005
Number of pages	87
Journal	Journal of Instrumentation
Volume	15
Issue number	6
DOIs	https://doi.org/10.1088/1748-0221/15/06/P06005
Publication status	Published - 1 Jun 2020

OECD FOS+WOS

Research areas

Large detector-systems performance, Pattern recognition, cluster finding, calibration and fitting methods, ANNIHILATION, ALGORITHMS

ID: 24871219