Measurements of the dielectron continuum in pp, p-Pb and Pb-Pb collisions with ALICE at the LHC
Acharya, Shreyasi; Adam, Jaroslav; Adamová, Dagmar; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, Nazeer; Ahn, Sang Un; Alme, Johan; Altenkaemper, Lucas; Arsene, Ionut Christian; Bätzing, Paul Christoph; Djuvsland, Øystein; Dordic, Olja; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Langøy, Rune; Lardeux, Antoine Xavier; Lien, Jørgen; Lindal, Svein; Lønne, Per-Ivar; Mahmood, Sohail Musa; Milosevic, Jovan; Nesbø, Simon Voigt; Nystrand, Joakim; Rehman, Attiq ur; Richter, Matthias; Røed, Ketil; Røhrich, Dieter; Skaali, Toralf Bernhard; Tambave, Ganesh Jagannath; Tveter, Trine Spedstad; Ullaland, Kjetil; Velure, Arild; Wagner, Boris; Wikne, Jon Christopher; Zhang, Hui; Zhao, Chengxin; Zhou, Zhuo; Zhu, Hongsheng; Qvigstad, Henrik; Aiola, Salvatore; Akindinov, Alexander; Alam, Sk Noor; Alba, José Luis Bazo; De Albuquerque, Danilo Silva; Aleksandrov, Dimitry; Allesandro, B.; ALICE, Collaboration
Journal article, Peer reviewed
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Original versionNuclear Physics A. 2017, 967 (2017), 684-687. 10.1016/j.nuclphysa.2017.04.037
Dielectrons produced in ultra-relativistic heavy-ion collisions provide a unique probe of the whole system evolution as they are unperturbed by final-state interactions. The dielectron continuum is extremely rich in physics sources: thermal radiation is of particular interest as it carries information about the temperature of the hot and dense system created in such collisions. The dielectron invariant mass distribution is sensitive to medium modifications of the spectral function of vector mesons that are linked to the potential restoration of chiral symmetry. Correlated electron pairs from semi-leptonic charm and beauty decays provide information about the heavy-quark energy loss. A summary of the LHC Run-1 preliminary results in all three collisions systems (pp, p-Pb and Pb-Pb) is presented. Furthermore, the status of the ongoing Run-2 analyses is discussed with a focus on pp collisions collected with a high charged-particle multiplicity trigger, on new analysis methods to separate prompt from non-prompt sources, and on the usage of machine learning methods for background rejection.