72 citations · 102 across the 3 of their papers we have counts for
32 papers
Using Machine Learning for Particle Identification in ALICE
Łukasz Kamil Graczykowski, Monika Jakubowska, Kamil Rafał Deja +1
Particle identification (PID) is one of the main strengths of the ALICE experiment at the LHC. It is a crucial ingredient for detailed studies of the strongly interacting matter fo…
Measurement of nuclear effects on production in p-Pb collisions at TeV
ALICE Collaboration
Inclusive (2S) production is measured in p-Pb collisions at the centre-of-mass energy per nucleon-nucleon pair TeV, using the ALICE detector at the CER…
(Anti-)Deuteron production in pp collisions at TeV
ALICE Collaboration
The study of (anti-)deuteron production in pp collisions has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high energy hadronic col…
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,…
and production at midrapidity in pp collisions at = 8 TeV
ALICE Collaboration
The production of and in pp collisions at = 8 TeV was measured using Run 1 data collected by the ALICE collaboratio…
Centrality and transverse momentum dependence of inclusive J/ production at midrapidity in Pb-Pb collisions at = 5.02 TeV
ALICE Collaboration
The inclusive J/ meson production in Pb-Pb collisions at a center-of-mass energy per nucleon-nucleon collision of = 5.02 TeV at midrapidity ( < 0.9) is…