activity
20162024
most citedMulti-system Bayesian constraints on the transport coefficients of QCD matter

308 citations · 1.3k across the 46 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

hep-ph2021

The information content of jet quenching and machine learning assisted observable design

Yue Shi Lai, James Mulligan, Mateusz Płoskoń +1

Jets produced in high-energy heavy-ion collisions are modified compared to those in proton-proton collisions due to their interaction with the deconfined, strongly-coupled quark-gl…

nucl-ex2021

Jet substructure measurements in heavy-ion collisions with ALICE

James Mulligan

Jet substructure, defined by observables constructed from the distribution of constituents within a jet, provides the versatility to tailor observables to specific regions of QCD r…

nucl-ex2021

Jet substructure and correlations in hadronic final states from ALICE

James Mulligan

Jets of high energy collimated particles provide a rich phenomenology to study quantum chromodynamics, from first-principles tests of perturbative calculations to investigations of…

nucl-ex2021

Measurements of sub-jet fragmentation with ALICE

James Mulligan

High-energy jets offer rich opportunities to study quantum chromodynamics, from investigating the limits of perturbative calculability to constraining the emergent properties of th…

nucl-th2021

Determining the jet transport coefficient of the quark-gluon plasma using Bayesian parameter estimation

J. Mulligan, A. Angerami, R. Arora +46

We present a new determination of , the jet transport coefficient of the quark-gluon plasma. Using the JETSCAPE framework, we use Bayesian parameter estimation to constrai…

quant-ph2021★ 107 cited

Quantum simulation of non-equilibrium dynamics and thermalization in the Schwinger model

Wibe A. de Jong, Kyle Lee, James Mulligan +3

We present simulations of non-equilibrium dynamics of quantum field theories on digital quantum computers. As a representative example, we consider the Schwinger model, a 1+1 dimen…

nucl-th2021★ 134 cited

Determining the jet transport coefficient from inclusive hadron suppression measurements using Bayesian parameter estimation

S. Cao, Y. Chen, J. Coleman +44

We report a new determination of , the jet transport coefficient of the Quark-Gluon Plasma. We use the JETSCAPE framework, which incorporates a novel multi-stage theoretic…