Multiplicity dependence of inclusive J/ψ production at midrapidity in pp collisions at at √s=13 TeV
Acharya, Shreyasi; Adamová, Dagmar; Adler, Alexander; Adolfsson, Jonatan; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, Shafiq F.; Alme, Johan; Altenkaemper, Lucas; Djuvsland, Øystein; Eikeland, Viljar Nilsen; Ersdal, Magnus Rentsch; Fionda, Fiorella Maria Celeste; Grøttvik, Ola Slettevoll; Lofnes, Ingrid Mckibben; Nystrand, Joakim; Rehman, Attiq Ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Wagner, Boris; Yang, Shiming; Yuan, Shiming; Zhou, Zhuo; Arsene, Ionut Cristian; Dordic, Olja; Lardeux, Antoine Xavier; Mahmood, Sohail Musa; Malik, Qasim Waheed; Neagu, Alexandra; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Nesbø, Simon Voigt; Storetvedt, Maksim Melnik; Langøy, Rune; Lien, Jørgen André; Ahn, Sang Un; Akbar, Zaenai; Akindinov, Alexander; Al-Turany, Mohammed; Alam, Sk Noor; ALICE, Collaboration
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2020Metadata
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Acharya, S., Adamová, D., Adler, A., Adolfsson, J., Aggarwal, M. M., Aglieri Rinella, G., . . . Zurlo, N. (2020). Multiplicity dependence of inclusive J/ψ production at midrapidity in pp collisions at s=13 TeV. Physics Letters B, 810. 10.1016/j.physletb.2020.135758Abstract
Measurements of the inclusive J/ψ yield as a function of charged-particle pseudorapidity density dNch/dη in pp collisions at √s = 13 TeV with ALICE at the LHC are reported. The J/ψ meson yield is measured at midrapidity (|y| < 0.9) in the dielectron channel, for events selected based on the charged-particle multiplicity at midrapidity (|η| < 1) and at forward rapidity (−3.7 < η < −1.7 and 2.8 < η < 5.1); both observables are normalized to their corresponding averages in minimum bias events. The increase of the normalized J/ψ yield with normalized dNch/dη is significantly stronger than linear and dependent on the transverse momentum. The data are compared to theoretical predictions, which describe the observed trends well, albeit not always quantitatively.