Measurement of Groomed Jet Substructure Observables in \pp Collisions at $\sqrt{s} = 200$ GeV with STAR
arxiv(2020)
摘要
In this letter, a comprehensive suite of jet substructure measurements via the SoftDrop algorithm, including the shared momentum fraction ($z_{\rm{g}}$) and the groomed jet radius ($R_{\rm{g}}$), are reported in \pp collisions at $\sqrt{s} = 200$ GeV collected by the STAR experiment. These substructure observables are differentially measured for jets of varying resolution parameters from $R = 0.2$ to $R = 0.6$ and transverse momentum range $15 < p_{\rm{T, jet}} < 60$ GeV$/c$. These studies show that, at RHIC kinematics with increasing jet resolution parameter and jet energy, the $z_{\rm{g}}$ distribution asymptotically converges to the DGLAP splitting kernel. The groomed jet radius measurements reflect a momentum-dependent narrowing of the jet structure for jets of a given resolution parameter, i.e., the larger the $p_{\rm{T, jet}}$, the narrower the first split. For the first time, these fully corrected measurements are compared to leading order Monte Carlo generators and to state-of-the-art theoretical calculations at next-to-leading-log accuracy. We observe that RHIC-tuned PYTHIA 6 is able to quantitatively reproduce data whereas the LHC-tuned event generators, PYTHIA 8 and HERWIG 7, are unable to provide a simultaneous description of both the $z_{\rm{g}}$ and $R_{\rm{g}}$, resulting in opportunities for fine parameter tuning of these models in \pp collisions at varying collision energies. We also find that the theoretical calculations without non-perturbative corrections are able to qualitatively describe the trend in data for jets of large resolution parameters at high $p_{\rm{T, jet}}$, but fail at small jet resolution parameters and low jet momenta.
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