Table of Contents
Fetching ...

Substructure grooming of inclusive and photon-tagged jets in heavy-ion collisions

Sa Wang, Shuang Li, Jin-Wen Kang, Ben-Wei Zhang, Enke Wang

TL;DR

This work analyzes how jet grooming techniques, specifically Dynamical Grooming and Soft-Drop Grooming, reveal medium-induced modifications of jet substructure in PbPb collisions. Using the SHELL transport model, the authors disentangle energy-loss effects and medium response from selection biases, showing that high-$k_{ m T,g}$ suppression in inclusive jets arises from reduced $p_{T,2}$ and $R_g$ narrowing, with jet-by-jet matching exposing genuine broadening. Photon-tagged jets ($\gamma+$jets) are shown to exhibit more direct evidence of substructure broadening via $R_g$, which grows with jet radius and is dominated by medium-induced radiation; hadronization effects temper the observed broadening. The results emphasize $R_g$ as a robust observable for probing jet–QGP interactions and provide comprehensive predictions across grooming parameters, jet radii, and hadronization levels to guide experimental measurements.

Abstract

Jet substructure provides a powerful probe of partonic interactions within the quark-gluon plasma (QGP) in heavy-ion collisions. In this paper, we present a systematic theoretical study of the groomed substructures for both inclusive jets and photon-tagged jets ($γ+$jets) utilizing the Dynamical and Soft-Drop Grooming algorithms in PbPb collisions by employing the SHELL transport model. Our theoretical calculations exhibit a suppression at high $k_{\rm T,g}$, the relative transverse momentum between the two subjets in the groomed substructure, consistent with the recent ALICE measurements. We show that the suppression of high $k_{\rm T,g}$ arises from the combined effects of the reduction of the subleading subjet transverse momentum due to partonic energy loss and the narrowing of the groomed jet radius $R_g$ induced by selection bias. Our findings demonstrate that no enhancement is observed at high $k_{\rm T,g}$, even in the complete absence of selection bias. Furthermore, we propose that the broadening of $R_g$ in photon-tagged jets, which are less susceptible to selection bias compared to inclusive jets, provides relatively direct evidence of the jet substructure broadening. Our analysis reveals that the $R_g$ broadening becomes more pronounced as the jet radius increases, where the medium-induced gluon radiation plays a dominant role in driving such broadening. In particular, we find that as the jet radius increases, the Soft Drop grooming algorithm exhibits a better resolving power for the contribution of the medium response to the jet substructure broadening.

Substructure grooming of inclusive and photon-tagged jets in heavy-ion collisions

TL;DR

This work analyzes how jet grooming techniques, specifically Dynamical Grooming and Soft-Drop Grooming, reveal medium-induced modifications of jet substructure in PbPb collisions. Using the SHELL transport model, the authors disentangle energy-loss effects and medium response from selection biases, showing that high- suppression in inclusive jets arises from reduced and narrowing, with jet-by-jet matching exposing genuine broadening. Photon-tagged jets (jets) are shown to exhibit more direct evidence of substructure broadening via , which grows with jet radius and is dominated by medium-induced radiation; hadronization effects temper the observed broadening. The results emphasize as a robust observable for probing jet–QGP interactions and provide comprehensive predictions across grooming parameters, jet radii, and hadronization levels to guide experimental measurements.

Abstract

Jet substructure provides a powerful probe of partonic interactions within the quark-gluon plasma (QGP) in heavy-ion collisions. In this paper, we present a systematic theoretical study of the groomed substructures for both inclusive jets and photon-tagged jets (jets) utilizing the Dynamical and Soft-Drop Grooming algorithms in PbPb collisions by employing the SHELL transport model. Our theoretical calculations exhibit a suppression at high , the relative transverse momentum between the two subjets in the groomed substructure, consistent with the recent ALICE measurements. We show that the suppression of high arises from the combined effects of the reduction of the subleading subjet transverse momentum due to partonic energy loss and the narrowing of the groomed jet radius induced by selection bias. Our findings demonstrate that no enhancement is observed at high , even in the complete absence of selection bias. Furthermore, we propose that the broadening of in photon-tagged jets, which are less susceptible to selection bias compared to inclusive jets, provides relatively direct evidence of the jet substructure broadening. Our analysis reveals that the broadening becomes more pronounced as the jet radius increases, where the medium-induced gluon radiation plays a dominant role in driving such broadening. In particular, we find that as the jet radius increases, the Soft Drop grooming algorithm exhibits a better resolving power for the contribution of the medium response to the jet substructure broadening.

Paper Structure

This paper contains 6 sections, 11 equations, 9 figures.

Figures (9)

  • Figure 1: (Color online) $k_{\rm T, g}$ distribution of the groomed inclusive jets in pp collisions at $\sqrt{s}=5.02$ TeV utilizing both the Dynamical Grooming ($a=1.0$) and Soft-Drop Grooming ($z_{\rm cut}=0.2$) algorithms, compared to the the ALICE data ALICE:2024fip.
  • Figure 2: (Color online) 2-dimensional ($z_g, R_g$) distribution of inclusive jets in pp collisions at $\sqrt{s}=5.02$ TeV computed using the Dynamical Grooming ($a=1.0$) and Soft-Drop Grooming ($z_{\rm cut}=0.2$) in the top and bottom figures.
  • Figure 3: (Color online) $k_{\rm T, g}$ distributions of the groomed inclusive jets in pp and PbPb (left panel: $0-10\%$, right panel: $30-50\%$) collisions at $\sqrt{s_{NN}}=5.02$ TeV utilizing both the Dynamical Grooming (top panels) and Soft-Drop Grooming (middle panels) algorithms, compared to the recent experimental data measured by the ALICE Collaboration ALICE:2024fip. Each distribution is normalized by the total jet cross section in the $p_T$ interval $[60, 80]$ GeV. The ratios of PbPb/pp are also shown in the bottom panels.
  • Figure 4: (Color online) $k_{\rm T, g}$ distributions of the groomed inclusive jets in pp and $0-10\%$ PbPb collisions at $\sqrt{s_{NN}}=5.02$ TeV utilizing both the Dynamical Grooming (left plot) and Soft-Drop Grooming (right plot) algorithms. The calculations by the JBJ matching analysis are also shown for comparison. The ratios of PbPb/pp are also shown in the bottom panels.
  • Figure 5: (Color online) Normalized distributions of $p_{T,2}$ and $R_g$ of the groomed inclusive jets in pp and $0-10\%$ PbPb collisions at $\sqrt{s_{NN}}=5.02$ TeV utilizing both the Dynamical Grooming (left plot) and Soft-Drop Grooming (right plot) algorithms. The calculations by the JBJ matching analysis are also shown for comparison.
  • ...and 4 more figures