TY  - JOUR
AU  - ATLAS Collaboration (Aaboud, M. et al
AU  - Alvarez Piqueras, D.
AU  - Barranco Navarro, L.
AU  - Cabrera Urban, S.
AU  - Castillo Gimenez, V.
AU  - Cerda Alberich, L.
AU  - Costa, M. J.
AU  - Fernandez Martinez, P.
AU  - Ferrer, A.
AU  - Fiorini, L.
AU  - Fuster, J.
AU  - Garcia, C.
AU  - Garcia Navarro, J. E.
AU  - Gonzalez de la Hoz, S.
AU  - Higon-Rodriguez, E.
AU  - Jimenez Pena, J.
AU  - Lacasta, C.
AU  - Mamuzic, J.
AU  - Marti-Garcia, S.
AU  - Melini, D.
AU  - Mitsou, V. A.
AU  - Pedraza Lopez, S.
AU  - Rodriguez Rodriguez, D.
AU  - Romero Adam, E.
AU  - Ros, E.
AU  - Salt, J.
AU  - Sanchez Martinez, V.
AU  - Soldevila, U.
AU  - Sanchez, J.
AU  - Valero, A.
AU  - Valls Ferrer, J. A.
AU  - Vos, M.
PY  - 2017
DA  - 2017//
TI  - Measurement of charged-particle distributions sensitive to the underlying event in root s=13 TeV proton-proton collisions with the ATLAS detector at the LHC
T2  - J. High Energy Phys.
JO  - Journal of High Energy Physics
SP  - 157
EP  - 42pp
VL  - 03
IS  - 3
PB  - Springer
KW  - Hadron-Hadron scattering (experiments)
AB  - We present charged-particle distributions sensitive to the underlying event, measured by the ATLAS detector in proton-proton collisions at a centre-of-mass energy of 13 TeV, in low-luminosity Large Hadron Collider fills corresponding to an integrated luminosity of 1.6 nb-1. The distributions were constructed using charged particles with absolute pseudorapidity less than 2.5 and with transverse momentum greater than 500 MeV, in events with at least one such charged particle with transverse momentum above 1 GeV. These distributions characterise the angular distribution of energy and particle flows with respect to the charged particle with highest transverse momentum, as a function of both that momentum and of charged-particle multiplicity. The results have been corrected for detector effects and are compared to the predictions of various Monte Carlo event generators, experimentally establishing the level of underlying-event activity at LHC Run 2 energies and providing inputs for the development of event generator modelling. The current models in use for UE modelling typically describe this data to 5% accuracy, compared with data uncertainties of less than 1%.
SN  - 1029-8479
UR  - http://arxiv.org/abs/1701.05390
UR  - https://doi.org/10.1007/JHEP03(2017)157
DO  - 10.1007/JHEP03(2017)157
LA  - English
N1  - WOS:000400027000001
ID  - ATLASCollaborationAaboud_etal2017
ER  -