Cargando…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
<!--HTML-->A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. In order to develop and benchmark new anomaly detection methods within this framework, it is essential t...
Autor principal: | Nachman, Ben |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2752550 |
Ejemplares similares
-
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
por: Kasieczka, Gregor, et al.
Publicado: (2021) -
Machine learning, computer vision, and probabilistic models in jet physics
por: KAGAN, Michael Aaron, et al.
Publicado: (2015) -
Physics potential of precision measurements of the LHC luminosity
por: Rojo Chacon, Juan
Publicado: (2012) -
LUMIN - a deep learning and data science ecosystem for high-energy physics
por: Strong, Giles Chatham
Publicado: (2019) -
Pitfalls and challenges interpreting direct detection data
por: McCabe, Christopher
Publicado: (2021)