Sprecher
Beschreibung
Distinguishing between the modification of quark- and gluon-initiated jets in the quark-gluon plasma (QGP) remains an unresolved challenge without a definitive answer from experiment. We demonstrate that a fully data-driven technique, known as topic modeling, may be used to study the separate modification of quark and gluon jets experimentally. Our proof-of-concept study is based on proton-proton and heavy-ion collision events from the Pyquen generator with statistics accessible in Run 4 of the Large Hadron Collider. We use topic modeling to extract the separate modification of quark and gluon jet substructure in the QGP. We show that this data-driven technique is robust to large backgrounds in heavy-ion collisions by smearing our input distributions and obtaining similar results. These results suggest the potential for an experimental determination of quark and gluon jet substructure and their modification.
Affiliation
MIT, CERN
| Experiment/Theory | Theory/Phenomenology |
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