Cargando…
Using ML to Speed Up New and Upgrade Detector Studies
Designing new experiments, as well as upgrade of ongoing experiments, is a continuous process in experimental high energy physics. Frontier R&Ds are used to squeeze the maximum physics performance using cutting edge detector technologies. The evaluating of physics performance for particular conf...
Autor principal: | Ratnikov, Fedor |
---|---|
Lenguaje: | eng |
Publicado: |
2019
|
Acceso en línea: | http://cds.cern.ch/record/2699803 |
Ejemplares similares
-
Search for R-parity violating Supersymmetry using the CMS detector
por: Ratnikov, Fedor
Publicado: (2013) -
Using Machine Learning to Speed Up and Improve Detector R&D
por: Boldyrev, Alexey
Publicado: (2020) -
New generation of RPC detector for the ATLAS Muon detector upgrade
por: Pizzimento, Luca
Publicado: (2019) -
Upgrade 1 & Upgrade 2 Studies of the VELO detector
por: Edmonds, Clara
Publicado: (2021) -
High speed data transmission on small gauge cables for the ATLAS Phase-II Pixel detector upgrade
por: Shahinian, J, et al.
Publicado: (2016)