JEWEL+PYTHIA simulated pp and PbPb collisions at 5020 GeV - Jet substructure variables

<p>Samples of simulated jets&nbsp;generated using JEWEL+PYTHIA for both Unquenched (pp) and Quenched (PbPb)&nbsp;cases, with the former being generated using the vacuum&nbsp;executable, jewel-vac, and the later using the medium&nbsp;executable,&nbsp;&nbsp;jewel-simple. For each case 320 000 events were produced with&nbsp;<span class="math-tex">\(\sqrt{s}=5020\)</span>&nbsp;GeV,&nbsp;&nbsp;<span class="math-tex">\(p_T \in [40, 250]\)</span>&nbsp;GeV,&nbsp;<span class="math-tex">\(|y|&lt;2.5\)</span>&nbsp;. For the Quenched case, the medium settings were set to <span class="math-tex">\(\tau_i = 0.4\)</span>&nbsp;fm/c,&nbsp;<span class="math-tex">\(T_i = 440\)</span>&nbsp;MeV,&nbsp; <span class="math-tex">\(T_c = 170\)</span>&nbsp;MeV, and centrality <span class="math-tex">\(0-10\%\)</span>.</p> <p>Three Quenched samples are produced from the&nbsp;same JEWEL output eventfiles.</p> <ul> <li>One without thermal recoils</li> <li>One with thermal recoils but no background subtraction</li> <li>One with thermal recoils and background subtraction via the event-level subtraction prescription found in <a href="https://link.springer.com/article/10.1140/epjc/s10052-022-10954-1">Improved background subtraction and a fresh look at jet sub-structure in JEWEL</a></li> </ul> <p>More details about the simulation of the events and the jet variables please refer to the <a href="https://gitlab.com/lip_ml/jet-substructure-observables-ml-analysis">code repository</a> and&nbsp;<a href="https://arxiv.org/abs/2304.07196">Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis</a>,&nbsp;where they were first used.</p>