Jet substructure in neutral current deep inelastic e+p scattering at upcoming Electron-Ion Collider

TL;DR

This paper predicts jet substructure in electron-proton deep inelastic scattering at the future Electron-Ion Collider, using simulations to analyze jet characteristics and compare clustering algorithms for improved understanding of jet formation.

Contribution

It provides novel predictions for jet substructure observables at the Electron-Ion Collider using Monte Carlo simulations and compares clustering algorithms for jet analysis.

Findings

Subjet multiplicity distributions vary with jet size and resolution parameter.

Comparison shows differences between $k_T$ and anti-$k_T$ algorithms.

Simulated results are consistent with existing HERA data.

Abstract

Predictions are made for the jet substructure of one-jet events produced in electron-proton neutral current deep inelastic scattering at the future Electron-Ion Collider for exchanged four-momentum squared, $Q^2 > 125$ GeV$^2$. Data are simulated using Monte Carlo event generators PYTHIA 8.304 and RAPGAP 3.308 at the center of mass energies $\sqrt{s}$ = 63.2, 104.9 and 141 GeV. Jets and subjets are produced by longitudinally invariant $k_T$ cluster algorithm. The subjet multiplicity distributions and differential jet shapes are measured for different jet sizes and varying jet-resolution parameter. A comparison is presented between the $k_T$ and anti-$k_T$ cluster algorithms for the study of jets and subjets using the simulated data and the HERA data.