Cargando…
Novel Uses of Machine Learning for Differential Jet Quenching Measurements at the LHC
At sufficiently high temperatures and pressures, QCD matter becomes a hot and dense deconfined medium known as the Quark-Gluon Plasma (QGP). Collisions of relativistic heavy ions are used to recreate the QGP, providing a rich laboratory for exploring the mysteries of the strong interaction. The intr...
Autor principal: | Bossi, Hannah |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2854645 |
Ejemplares similares
-
Jet Quenching at LHC
por: Spousta, Martin
Publicado: (2013) -
Modelling and measurement of jet quenching in relativistic heavy-ion collisions at the LHC
por: Verweij, Marta
Publicado: (2013) -
Jet quenching at RHIC and the LHC
por: Lee, Yen-Jie
Publicado: (2013) -
Jet Quenching in Relativistic Heavy Ion Collisions at the LHC
por: Angerami, Aaron
Publicado: (2012) -
Study of Jet Quenching in Quark Gluon Plasma Using Jet Charge Measurements
por: Hangal, Dhanush Anil
Publicado: (2020)