The investigation of jet energy loss in high-energy proton-proton (pp) collisions offers crucial insights into the properties of Quark-Gluon Plasma (QGP) and strongly interacting matter. In this study, we simulate 10, 000 pp collision events using the Pythia event generator, followed by jet clustering via the longitudinally invariant anti-kₜ algorithm implemented in Fastjet. The analysis focuses on examining missing transverse momentum (MET) and jet momentum imbalances to identify a mechanisms behind the potential energy loss on an event-by-event basis. Our results reveal a significant correlation between large MET values and low pT2/pT1 ratios, indicative of pronounced momentum imbalance between the leading and sub-leading jets. These findings suggest a substantial jet energy loss. Which is likely due to the medium interactions with implications for studying jet quenching phenomena in QGP. This work introduces a refined methodology for assessing jet quenching at a level of individual events, providing a detailed characterization of jet-medium interactions and contributing to the broader understanding of energy loss in high-energy nuclear collisions.
Liu et al. (Thu,) studied this question.
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