Quantifying in-medium jet structure modification and medium response with direct photon and pi-zero triggered hadron correlations in PHENIX

24 Sept 2024, 16:35
1h 55m
DEJIMA MESSE NAGASAKI

DEJIMA MESSE NAGASAKI

4-1, Onouemachi, Nagasaki City, Nagasaki, 850-0058 Japan
Poster 1. Jets modification and medium response Poster Session

Speaker

Anthony Hodges (Univ. Illinois at Urbana Champaign (US))

Description

Jet measurements have long established that as hard scattered partons traverse the quark gluon plasma (QGP) they lose energy resulting in modified jets in A+A collisions relative to p+p collisions with no QGP. Understanding how the jets, their constituents and substructure are modified is crucial to discriminating between energy loss models and extracting the in-medium transport properties. Equally important is quantifying the response of the medium to this lost energy and disentangling such effects from the modified parton showers. By triggering on a high momentum hadron and measuring the distribution of hadrons opposite it in azimuth, we can study the particles correlated with the opposing jet. Model comparisons to the PHENIX $\pi^{0}-$hadron correlations suggest that medium response plays an important role for describing the low momentum hadron distribution. PHENIX has final results for the ratio ($I_{AA}$) and difference ($\Delta_{AA}$) of Au+Au to p+p as a function of the azimuthal angle. In addition, PHENIX is extracting these observables using direct photons as a trigger. The unmodified direct photon provides access to the kinematics of the initial hard scattering and selects a population of opposing jets predominantly from quarks. These measurements utilizing the highest statistics PHENIX 200 GeV Au+Au data set are also complimentary to LHC Z boson-track correlation studies, by exploring lower momentum jets at RHIC and further constraining energy loss models.

Category Experiment
Collaboration PHENIX

Authors

Anthony Hodges (Univ. Illinois at Urbana Champaign (US)) Megan Connors (Georgia State University)

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