Our group works on elucidating the real-time properties of strongly coupled quantum systems, such as e.g. the quark-gluon plasma created in relativistic heavy-ion collisions. To this end we study the spectral properties of bound states and single particles in QCD and scalar theories. The non-perturbative nature of the problems we investigate leads us to use predominantly numerical methods, such as lattice QCD. A particular interest of our group lies in the extraction of spectral functions from Euclidean correlator data using Bayesian inference.

We are part of the collaborative research center SFB1225 ISOQUANT via its project "Probing the QCD phase structure with heavy quarks" and participate in a 2016 USQCD computing grant.

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The quantum real-time dynamics workshop 2017 brought together practitioners from diverse fields, such as open-quantum systems, lattice QCD, effective field theories and heavy-ion collisions experiments. Workshop Homepage

Reconstruction of spectral functions from Euclidean correlator data computed in lattice QCD or functional approaches to QCD.

Simulation of heavy quarkonium in Euclidean lattice QCD by using non-relativistic effective descriptions, such as NRQCD. Extracting the static in-medium pNRQCD heavy quark potential non-perturbatively.

Investigating the real-time properties and the topology of QCD in classical statistical simulations in combination with effective theories for e.g. chiral fermions.

**Theory lecture**Tuesday 14:15h-16:00h (st) at kHs Philosophenweg 12**Hands-on programming tutorial**Tuesday 16:15h-17:45h (st) at CipPool Philosophenweg 12

In the course of this lecture we will explore the foundations of Theory and Technology that has become an indispensable part for pushing the frontiers of our knowledge in high energy Nuclear and Particle physics. The goal: acquire the basis for taking up studies in one of the many areas highlighted by the annual Lattice conferences.

Lecture materials
Literature
Lecture Note 01: Introduction and Motivation
Lecture Note 02: Ising Model
Lecture Note 03: Monte-Carlo Methods
Lecture Note 04: Partial Differential Equations
Lecture Note 05: PDE's and QM Path Integral
Lecture Note 06: Scalar Field Theory (I)
Lecture Note 07: Scalar Field Theory (II)
Lecture Note 08: Gauge Field Theory (I)

Exercises
Exercise 1: Mean Field Approximation
Exercise 2: Monte Carlo simulations
Exercise 3: Poisson equation

LSFTutorial groups