308 citations · 1.3k across the 46 of their papers we have counts for
18 papers · 1 filter
Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE
R. Ehlers, A. Angerami, R. Arora +50
The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter using Bayesian inference, incorporating all available hadron and jet…
A multistage framework for studying the evolution of jets and high- probes in small collision systems
Abhijit Majumder, Aaron Angerami, Ritu Arora +48
Understanding the modification of jets and high- probes in small systems requires the integration of soft and hard physics. We present recent developments in extending the JET…
Effects of multi-scale jet-medium interactions on jet substructures
JETSCAPE Collaboration, Y. Tachibana, A. Angerami +57
We utilize event-by-event Monte Carlo simulations within the JETSCAPE framework to examine scale-dependent jet-medium interactions in heavy-ion collisions. The reduction in jet-med…
A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression
W. Fan, G. Vujanovic, S. A. Bass +52
We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium DGLAP evolution at high virtuality, and (linearized) B…
Multiscale evolution of heavy flavor in the QGP
G. Vujanovic, A. Angerami, R. Arora +52
Shower development dynamics for a jet traveling through the quark-gluon plasma (QGP) is a multiscale process, where the heavy flavor mass is an important scale. During the high vir…
Is infrared-collinear safe information all you need for jet classification?
Dimitrios Athanasakos, Andrew J. Larkoski, James Mulligan +2
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics. However, it remains uncle…
The Present and Future of QCD
P. Achenbach, D. Adhikari, A. Afanasev +400
This White Paper presents the community inputs and scientific conclusions from the Hot and Cold QCD Town Meeting that took place September 23-25, 2022 at MIT, as part of the Nuclea…
Hard jet substructure in a multistage approach
Y. Tachibana, A. Kumar, A. Majumder +56
We present predictions and postdictions for a wide variety of hard jet-substructure observables using a multistage model within the JETSCAPE framework. The details of the multistag…
Comprehensive Study of Multi-scale Jet-medium Interaction
Y. Tachibana, A. Angerami, R. Arora +55
We explore jet-medium interactions at various scales in high-energy heavy-ion collisions using the JETSCAPE framework. The physics of the multi-stage modeling and the coherence eff…
Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics
Kyle Lee, James Mulligan, Mateusz Płoskoń +2
We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relati…
Inclusive jet and hadron suppression in a multistage approach
A. Kumar, Y. Tachibana, C. Sirimanna +57
We present a new study of jet interactions in the quark-gluon plasma created in high-energy heavy-ion collisions, using a multistage event generator within the JETSCAPE framework.…
Role of bulk viscosity in deuteron production in ultrarelativistic nuclear collisions
D. Everett, D. Oliinychenko, M. Luzum +53
We use a Bayesian-calibrated multistage viscous hydrodynamic model to explore deuteron yield, mean transverse momentum and flow observables in LHC Pb-Pb collisions. We explore theo…
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…
Multi-system Bayesian constraints on the transport coefficients of QCD matter
D. Everett, W. Ke, J. -F. Paquet +45
We study the properties of the strongly-coupled quark-gluon plasma with a multistage model of heavy ion collisions that combines the TENTo initial condition ansatz, fr…
Phenomenological constraints on the transport properties of QCD matter with data-driven model averaging
D. Everett, W. Ke, J. -F. Paquet +45
Using combined data from the Relativistic Heavy Ion and Large Hadron Colliders, we constrain the shear and bulk viscosities of quark-gluon plasma (QGP) at temperatures of ${\sim\,}…
Quantum simulation of open quantum systems in heavy-ion collisions
Wibe A. de Jong, Mekena Metcalf, James Mulligan +3
We present a framework to simulate the dynamics of hard probes such as heavy quarks or jets in a hot, strongly-coupled quark-gluon plasma (QGP) on a quantum computer. Hard probes i…
Identifying groomed jet splittings in heavy-ion collisions
James Mulligan, Mateusz Ploskon
Measurements of jet substructure in heavy-ion collisions may provide key insight to the nature of jet quenching in the quark-gluon plasma. Jet grooming techniques from high-energy…
Novel tools and observables for jet physics in heavy-ion collisions
Harry Arthur Andrews, Liliana Apolinario, Redmer Alexander Bertens +25
Studies of fully-reconstructed jets in heavy-ion collisions aim at extracting thermodynamical and transport properties of hot and dense QCD matter. Recently, a plethora of new jet…