activity
20182023
most citedInterpretable Machine Learning Methods Applied to Jet Background Subtraction in Heavy Ion Collisions

10 citations · 10 across the 1 of their papers we have counts for

collaborators

15 papers

hep-ex2023★ 10 cited

Interpretable Machine Learning Methods Applied to Jet Background Subtraction in Heavy Ion Collisions

Tanner Mengel, Patrick Steffanic, Charles Hughes +2

Jet measurements in heavy ion collisions can provide constraints on the properties of the quark gluon plasma, but the kinematic reach is limited by a large, fluctuating background.…

hep-ex2020

Heavy-flavour correlations and jets with ALICE at the LHC

Antonio Carlos Oliveira da Silva

This contribution summarises the results on heavy-flavour correlations and jets measured with ALICE detector. Studies of D-tagged jets are presented in various collision syst…

nucl-ex2020

Coherent photoproduction of vector mesons in ultra-peripheral Pb-Pb collisions at TeV

ALICE Collaboration

Cross sections for the coherent photoproduction of vector mesons in ultra-peripheral Pb-Pb collisions at TeV are reported. The measurements,…

nucl-ex2019

Underlying Event properties in pp collisions at = 13 TeV

ALICE Collaboration

This article reports measurements characterizing the Underlying Event (UE) associated with hard scatterings at midrapidity in pp collisions at TeV. The hard scatterin…

nucl-ex2019

Measurement of elliptic flow at forward rapidity in Pb-Pb collisions at TeV

ALICE Collaboration

The first measurement of the elliptic flow coefficient () is performed at forward rapidity (2.5 4) in Pb-Pb collisions at …

nucl-ex2019

Scattering studies with low-energy kaon-proton femtoscopy in proton-proton collisions at the LHC

ALICE Collaboration

The study of the strength and behaviour of the antikaon-nucleon () interaction constitutes one of the key focuses of the strangeness sector in low-energy Qu…