Cargando…
Machine Learning based jet momentum reconstruction in Pb-Pb collisions measured with the ALICE detector
The precise reconstruction of jet transverse momenta in heavy-ion collisions is a challenging task. A major obstacle is the large number of uncorrelated (mainly) low-$p_\mathrm{T}$ particles overlaying the jets. Strong region-to-region fluctuations of this background complicate the jet measurement a...
Autor principal: | Haake, Rüdiger |
---|---|
Lenguaje: | eng |
Publicado: |
SISSA
2020
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.22323/1.364.0312 http://cds.cern.ch/record/2688537 |
Ejemplares similares
-
Inclusive jet measurements in pp and Pb-Pb collisions with ALICE
por: Mulligan, James
Publicado: (2018) -
Jet measurements in pp, p--Pb and Pb--Pb collisions with ALICE at the LHC
por: Prasad, S.K.
Publicado: (2016) -
Full Jet Reconstruction in 2.76 TeV pp and Pb-Pb collisions in the ALICE experiment
por: Reed, Rosi
Publicado: (2013) -
Exploring medium properties with hard transverse momentum splittings using groomed jet substructure measurements in Pb--Pb collisions with ALICE
por: Ehlers, Raymond
Publicado: (2023) -
Inclusive Jet Measurements in Pb-Pb Collisions at 5.02 TeV with ALICE using Machine Learning Techniques
por: Bossi, Hannah
Publicado: (2020)