Talks

In this talk, we will review recent efforts to probe spin–spin and spin–orbit entanglement at the upcoming Electron–Ion Collider (EIC). We will also discuss its connections to nucleon structure and high-energy QCD dynamics.

Multi-body QCD exhibits rich and complex phenomenology, notably in the Quark-Gluon Plasma (QGP) at high temperature, which is generated in nuclear collisions at RHIC and the LHC; and at high density, corresponding to low momentum fraction x in hadrons and nuclei, which can be probed by forward RHIC and LHC measurements and the future Electron-Ion Collider.
These lectures will explore how we study multi-body QCD by combining experiment and theory. The focus of the first two lectures is the measurement of jet quenching, the interaction of energetic quark and gluon jets with the QGP. The third lecture discusses a comprehensive analysis of the world’s jet quenching data using Bayesian Inference enhanced by Machine Learning, to quantify the structure and dynamics of the QGP. The fourth lecture turns to many-body QCD at low x, presenting a new framework for the comprehensive analysis of Deep Inelastic Scattering and hadron collider data - likewise using ML-enhanced Bayesian Inference - to search for evidence of non-linear QCD evolution and gluon saturation.

In this lecture series I will give an overview of lattice QCD studies of hot nuclear matter with emphasis on heavy flavor probes. In the first lecture I will review the lattice QCD results on the deconfinement and chiral transitions, and the equation of state. In the subsequent lectures, I will discuss the nature of heavy flavor degrees of freedom across the transition temperature, the fate of heavy quark anti-quark bound states and heavy quark diffusion.

In this lecture series I will give an overview of lattice QCD studies of hot nuclear matter with emphasis on heavy flavor probes. In the first lecture I will review the lattice QCD results on the deconfinement and chiral transitions, and the equation of state. In the subsequent lectures, I will discuss the nature of heavy flavor degrees of freedom across the transition temperature, the fate of heavy quark anti-quark bound states and heavy quark diffusion.

Multi-body QCD exhibits rich and complex phenomenology, notably in the Quark-Gluon Plasma (QGP) at high temperature, which is generated in nuclear collisions at RHIC and the LHC; and at high density, corresponding to low momentum fraction x in hadrons and nuclei, which can be probed by forward RHIC and LHC measurements and the future Electron-Ion Collider.

These lectures will explore how we study multi-body QCD by combining experiment and theory. The focus of the first two lectures is the measurement of jet quenching, the interaction of energetic quark and gluon jets with the QGP. The third lecture discusses a comprehensive analysis of the world’s jet quenching data using Bayesian Inference enhanced by Machine Learning, to quantify the structure and dynamics of the QGP. The fourth lecture turns to many-body QCD at low x, presenting a new framework for the comprehensive analysis of Deep Inelastic Scattering and hadron collider data - likewise using ML-enhanced Bayesian Inference - to search for evidence of non-linear QCD evolution and gluon saturation.

Multi-body QCD exhibits rich and complex phenomenology, notably in the Quark-Gluon Plasma (QGP) at high temperature, which is generated in nuclear collisions at RHIC and the LHC; and at high density, corresponding to low momentum fraction x in hadrons and nuclei, which can be probed by forward RHIC and LHC measurements and the future Electron-Ion Collider.

These lectures will explore how we study multi-body QCD by combining experiment and theory. The focus of the first two lectures is the measurement of jet quenching, the interaction of energetic quark and gluon jets with the QGP. The third lecture discusses a comprehensive analysis of the world’s jet quenching data using Bayesian Inference enhanced by Machine Learning, to quantify the structure and dynamics of the QGP. The fourth lecture turns to many-body QCD at low x, presenting a new framework for the comprehensive analysis of Deep Inelastic Scattering and hadron collider data - likewise using ML-enhanced Bayesian Inference - to search for evidence of non-linear QCD evolution and gluon saturation.

Multi-body QCD exhibits rich and complex phenomenology, notably in the Quark-Gluon Plasma (QGP) at high temperature, which is generated in nuclear collisions at RHIC and the LHC; and at high density, corresponding to low momentum fraction x in hadrons and nuclei, which can be probed by forward RHIC and LHC measurements and the future Electron-Ion Collider.

These lectures will explore how we study multi-body QCD by combining experiment and theory. The focus of the first two lectures is the measurement of jet quenching, the interaction of energetic quark and gluon jets with the QGP. The third lecture discusses a comprehensive analysis of the world’s jet quenching data using Bayesian Inference enhanced by Machine Learning, to quantify the structure and dynamics of the QGP. The fourth lecture turns to many-body QCD at low x, presenting a new framework for the comprehensive analysis of Deep Inelastic Scattering and hadron collider data - likewise using ML-enhanced Bayesian Inference - to search for evidence of non-linear QCD evolution and gluon saturation.

Heavy quarks are produced predominantly in the early stages of relativistic heavy-ion collisions and thus probe the entire evolution of the quark–gluon plasma (QGP). Measurements of open heavy flavour and quarkonia provide complementary information on heavy-quark transport, in-medium energy loss, and color screening in hot QCD matter. In this talk, recent experimental results from RHIC and the LHC will be discussed and their implications for understanding the properties of the QGP will be highlighted.

In this lecture series I will give an overview of lattice QCD studies of hot nuclear matter with emphasis on heavy flavor probes. In the first lecture I will review the lattice QCD results on the deconfinement and chiral transitions, and the equation of state. In the subsequent lectures, I will discuss the nature of heavy flavor degrees of freedom across the transition temperature, the fate of heavy quark anti-quark bound states and heavy quark diffusion.

Multi-body QCD exhibits rich and complex phenomenology, notably in the Quark-Gluon Plasma (QGP) at high temperature, which is generated in nuclear collisions at RHIC and the LHC; and at high density, corresponding to low momentum fraction x in hadrons and nuclei, which can be probed by forward RHIC and LHC measurements and the future Electron-Ion Collider.

These lectures will explore how we study multi-body QCD by combining experiment and theory. The focus of the first two lectures is the measurement of jet quenching, the interaction of energetic quark and gluon jets with the QGP. The third lecture discusses a comprehensive analysis of the world’s jet quenching data using Bayesian Inference enhanced by Machine Learning, to quantify the structure and dynamics of the QGP. The fourth lecture turns to many-body QCD at low x, presenting a new framework for the comprehensive analysis of Deep Inelastic Scattering and hadron collider data - likewise using ML-enhanced Bayesian Inference - to search for evidence of non-linear QCD evolution and gluon saturation.