The ALICE experiment was proposed in 1993, to study strongly-interacting matter at extreme
energy densities and temperatures. This proposal entailed a comprehensive investigation of …

Abstract Quark–Gluon Plasma (QGP), a QCD state of matter created in ultra-relativistic
heavy-ion collisions, has remarkable properties including, for example, a low shear viscosity …

The ALICE experiment was proposed in 1993, to study strongly-interacting matter at extreme
energy densities and temperatures. This proposal entailed a comprehensive investigation of …

We review the current status of jet measurements in heavy-ion collisions at the Large
Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC). We discuss how the …

How to represent a jet is at the core of machine learning on jet physics. Inspired by the
notion of point clouds, we propose a new approach that considers a jet as an unordered set …

Jet tagging is a critical yet challenging classification task in particle physics. While deep
learning has transformed jet tagging and significantly improved performance, the lack of a …

Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC),
where it has provided numerous innovative new ways to search for new physics and to …

A bstract A key question for machine learning approaches in particle physics is how to best
represent and learn from collider events. As an event is intrinsically a variable-length …

The study of the internal structure of hadronic jets has become in recent years a very active
area of research in particle physics. Jet substructure techniques are increasingly used in …

A bstract Deep learning methods have been increasingly adopted to study jets in particle
physics. Since symmetry-preserving behavior has been shown to be an important factor for …