Speaker
Description
In high-energy heavy-ion collisions at facilities such as the Large Hadron Collider (LHC) and Relativistic Heavy Ion Collider (RHIC), extreme temperatures and energy densities are achieved, leading to the formation of a deconfined state of matter known as the quark–gluon plasma (QGP). Hard-scattered partons produced in the early stages of the collision traverse this hot and dense medium, losing energy through medium-induced gluon radiation and elastic interactions, a phenomenon referred to as jet quenching. Dihadron correlation measurements provide a powerful tool to study partonic energy-loss mechanisms. By selecting a high-transverse-momentum trigger hadron and measuring the angular distribution of associated hadrons, one can probe the modification of jet structure. In proton–proton collisions, clear near-side ($\Delta\phi \approx 0$) and away-side ($\Delta\phi \approx \pi$) peaks reflect vacuum jet fragmentation. In contrast, heavy-ion collisions exhibit suppression and broadening of the away-side peak, directly encoding information about parton energy loss and medium-induced momentum broadening in the QGP. In this work, proton–proton dihadron correlations are studied using the PYTHIA event generator by measuring the angular distributions of particle pairs across different momentum ranges. Statistical uncertainties are estimated using a jackknife resampling method, and contributions from the underlying event are removed using the Zero-Yield-At-Minimum (ZYAM) procedure. The dihadron correlation analysis provides a controlled proton–proton baseline for future comparisons to heavy-ion calculations incorporating partonic energy loss, enabling quantitative studies of QGP-induced jet modifications.
| Apply for student award at which level: | MSc |
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| Consent on use of personal information: Abstract Submission | Yes, I ACCEPT |