Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector
Abstract
CERN-LHC. Distributions sensitive to the underlying event in QCD jet events have been measured with the ATLAS detector at the LHC, based on 37/pb of proton-proton collision data collected at a centre-of-mass energy of 7 TeV. Charged-particle mean pT and densities of all-particle ET and charged-particle multiplicity and pT have been measured in regions azimuthally transverse to the hardest jet in each event. These are presented both as one-dimensional distributions and with their mean values as functions of the leading-jet transverse momentum from 20 GeV to 800 GeV. The correlation of charged-particle mean pT with charged-particle multiplicity is also studied, and the ET densities include the forward rapidity region; these features provide extra data constraints for Monte Carlo modelling of colour reconnection and beam-remnant effects respectively. For the first time, underlying event observables have been computed separately for inclusive jet and exclusive dijet event selections, allowing more detailed study of the interplay of multiple partonic scattering and QCD radiation contributions to the underlying event. Comparisons to the predictions of different Monte Carlo models show a need for further model tuning, but the standard approach is found to generally reproduce the features of the underlying event in both types of eventmore »
- Authors:
-
- OSTI
- Publication Date:
- Research Org.:
- USDOE Office of Science (SC) (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Collaborations:
- The ATLAS collaboration; The ATLAS collaboration
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
- OSTI Identifier:
- 1893351
- DOI:
- https://doi.org/10.17182/hepdata.65229
Citation Formats
Aad, Georges. Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector. United States: N. p., 2014.
Web. doi:10.17182/hepdata.65229.
Aad, Georges. Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector. United States. doi:https://doi.org/10.17182/hepdata.65229
Aad, Georges. 2014.
"Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector". United States. doi:https://doi.org/10.17182/hepdata.65229. https://www.osti.gov/servlets/purl/1893351. Pub date:Sun Jun 01 04:00:00 UTC 2014
@article{osti_1893351,
title = {Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector},
author = {Aad, Georges},
abstractNote = {CERN-LHC. Distributions sensitive to the underlying event in QCD jet events have been measured with the ATLAS detector at the LHC, based on 37/pb of proton-proton collision data collected at a centre-of-mass energy of 7 TeV. Charged-particle mean pT and densities of all-particle ET and charged-particle multiplicity and pT have been measured in regions azimuthally transverse to the hardest jet in each event. These are presented both as one-dimensional distributions and with their mean values as functions of the leading-jet transverse momentum from 20 GeV to 800 GeV. The correlation of charged-particle mean pT with charged-particle multiplicity is also studied, and the ET densities include the forward rapidity region; these features provide extra data constraints for Monte Carlo modelling of colour reconnection and beam-remnant effects respectively. For the first time, underlying event observables have been computed separately for inclusive jet and exclusive dijet event selections, allowing more detailed study of the interplay of multiple partonic scattering and QCD radiation contributions to the underlying event. Comparisons to the predictions of different Monte Carlo models show a need for further model tuning, but the standard approach is found to generally reproduce the features of the underlying event in both types of event selection.},
doi = {10.17182/hepdata.65229},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 01 04:00:00 UTC 2014},
month = {Sun Jun 01 04:00:00 UTC 2014}
}
