Abstract

A measurement of jet substructure observables is presented using data collected in 2016 by the ATLAS experiment at the LHC with proton-proton collisions at sqrt{s} = 13 TeV. Large-radius jets groomed with the trimming and soft-drop algorithms are studied. Dedicated event selections are used to study jets produced by light quarks or gluons, and hadronically decaying top quarks and W bosons. The observables measured are sensitive to substructure, and therefore are typically used for tagging large-radius jets from boosted massive particles. These include the energy correlation functions and the N-subjettiness variables. The number of subjets and the Les Houches angularity are also considered. The distributions of the substructure variables, corrected for detector effects, are compared to the predictions of various Monte Carlo event generators. They are also compared between the large-radius jets originating from light quarks or gluons, and hadronically decaying top quarks and W bosons.

Highlights

  • The predictions of different phenomenological models implemented in the Monte Carlo (MC) generators are compared with the data corrected to the particle level

  • The MC samples were processed through the full ATLAS detector simulation [54] based on Geant4 [55], and reconstructed and analysed using the same procedure and software that are used for the data

  • Cluster energy smearing (CES): the difference in quadrature of the width of the E/p distribution measured in data and given by simulation is defined as the uncertainty in the energy resolution

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Summary

ATLAS detector

The ATLAS experiment uses a multipurpose particle detector [25, 26] with a forwardbackward symmetric cylindrical geometry and a near 4π coverage in solid angle. It con-. Sists of an inner tracking detector (ID) surrounded by a thin superconducting solenoid providing a 2 T axial magnetic field, electromagnetic (EM) and hadron calorimeters, and a muon spectrometer. Electromagnetic calorimetry is performed with barrel and endcap high-granularity lead/liquid-argon (LAr) sampling calorimeters, within the region |η| < 3.2. Hadronic calorimetry is performed with a steel/scintillator-tile calorimeter, segmented into three barrel structures within |η| < 1.7, and two copper/LAr hadronic endcap calorimeters, which cover the region 1.5 < |η| < 3.2. The forward solid angle up to |η| = 4.9 is covered by copper/LAr and tungsten/LAr calorimeter modules, which are optimised for energy measurements of electrons/photons and hadrons, respectively. The muon spectrometer consists of separate trigger and high-precision tracking chambers that measure the deflection of muons in a magnetic field generated by superconducting air-core toroids. The second level is implemented in software running on a general-purpose processor farm which processes the events and reduces the rate of recorded events to 1 kHz

Monte Carlo samples
Background estimation
Object and event selection
Definition of the jet observables
Data-driven background estimation
Background
Large-radius jet uncertainties
Other sources of uncertainties
15 Dijet selection
Detector-level results
Unfolding
10 Particle-level results
W selection
11 Conclusions
Full Text
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