Performance and Calibration of Quark/Gluon-jet Taggers Using 140 Fb−1 of Pp Collisions at √s = 13 Tev With the Atlas Detector

relationships.isProjectOf

relationships.isJournalIssueOf

Yükleniyor...

Abstract

The identification of jets originating from quarks and gluons, often referred to as quark/gluon tagging, plays an important role in various analyses performed at the Large Hadron Collider, as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced background. This paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration, using √s = 13 TeV proton–proton collision data with an integrated luminosity of 140 fb−1 collected by the ATLAS experiment. Two taggers with high performances in rejecting jets from gluon over jets from quarks are studied: one tagger is based on requirements on the number of inner-detector tracks associated with the jet, and the other combines several jet substructure observables using a boosted decision tree. A method is established to determine the quark/gluon fraction in data, by using quark/gluon-enriched subsamples defined by the jet pseudorapidity. Differences in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points. © 2024 Institute of Physics. All rights reserved.

Description

Institutional Author Profiles

Keywords

ATLAS, GLUON, JET, QUARK, TAGGING, p p: scattering, data analysis method, particle identification: efficiency, 13000 GeV-cms, 5106 Nuclear and Plasma Physics (for-2020), Particle and Plasma Physics (for), molecular and optical physics (for-2020), jet: transverse momentum, transverse momentum dependence, Atomic, 530, Particle and Plasma Physics, 5102 Atomic, gluon: jet, Nuclear, structure, molecular and optical physics, 5107 Particle and high energy physics (for-2020), quark: jet, info:eu-repo/classification/ddc/530, 5107 Particle and High Energy Physics (for-2020), Settore FIS/01, 51 Physical Sciences (for-2020), QUARK, ATLAS; JET; QUARK; GLUON; TAGGING, 500, Molecular, Nuclear & Particles Physics (science-metrix), Particle and High Energy Physics, ATLAS, Nuclear and Plasma Physics, calibration, tracks, Nuclear & Particles Physics, CERN LHC Coll, track data analysis: jet, JET, Physical Sciences, 0202 Atomic, jet: rapidity, GLUON, p p: colliding beams, performance, TAGGING, experimental results, 5106 Nuclear and Plasma Physics, 51 Physical Sciences, 5107 Particle and High Energy Physics, ATLAS; GLUON; JET; QUARK; TAGGING

Fields of Science

01 natural sciences, 0103 physical sciences

Citation

WoS Q

Q2

Scopus Q

Q1
OpenCitations Logo
OpenCitations Citation Count
10

Source

Chinese Physics C

Volume

48

Issue

2

Start Page

023001

End Page

Yükleniyor...
Yükleniyor...
Yükleniyor...