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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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JEWEL+PYTHIA simulated pp and PbPb collisions at 5020 GeV - Jet substructure variables

Authors: Romao, Miguel; Milhano, Guilherme; Van Leeuwen, Marco;

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

Abstract

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

Keywords

Jet Quenching, Quark-Gluon Plasma, Heavy-Ion Collisions, Jet Substructure

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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