Announcements
Upcoming events
 BetheColloquium by Yuval Grossman (Cornell University, LEPP), July 4th, 2019

Bethe Forum "Number Theoretic Methods in Quantum Physics", July 15th  19th, 2019
Organizers: H. Jockers (PI Bonn, bctp), A. Klemm (PI Bonn, bctp), H. Monien (PI Bonn, bctp), G. Oberdieck (HIM Bonn) and D. Zagier (MPIfM, Bonn) 
Bethe Forum "Multihadron Dynamics in a Box", Sept. 9th  13th, 2019
Organizers: M. Mai (Washington, DC), U.G. Meißner (Bonn / Jülich), A. Rusetsky and C. Urbach (both Bonn)  Lecture Series "Machine Learning and its Applications" by Fabian Ruehle (CERN), Oct. 7th  10th, 2019
Further information will be given as soon as it is available.
Bethe Forum "Number Theoretic Methods in Quantum Physics"
For more information as well as the registration form please see the event webpage.
Bethe Forum "Multihadron Dynamics in a box"
For more information as well as the registration form please see the event webpage.
Recent years have witnessed a growing interest in the study of threeparticle systems in lattice QCD. Substantial progress has been achieved both in the development of the methods
that enable one to extract infinitevolume observables from lattice data produced on finitesize lattices, as well as in MonteCarlo calculations of the threeparticle systems, but
important recent developments in the twoparticle sector will also be addressed, since these questions are inherently related to each other.
In particular, it is planned to discuss the following questions:
 What is the best strategy in the analysis of data in the threeparticle sector?

 What are the quantities to extract form the finitevolume sector?

 How the further progress in the field looks like after the derivation of the quantization condition (analysis of the data on the Roper resonance, threeparticle decay matrix elements, etc.)?

 What are the present status and immediate perspectives of lattice simulations in the threeparticle sector? For example, can one expect the calculation of the excited levels in the threeparticle sector? Are the calculations in manybody (four and more) systems feasible in a forseeable future?
Lecture Series on "Machine Learning and its Applications"
Fabian Ruehle (CERN, Geneva) will give a Lecture Series on "Machine Learning and its Applications" from October 3  11, 2019, in the Bethe Center for Theoretical Physics in Bonn.
Abstract: Machine Learning techniques, in particular neural networks, have become an integral part of our lives. Due to their versatile nature, they are applied in the private and academic sector with tremendous success. In these lectures, I will first review the basic building blocks of neural networks and how they are trained. I will then discuss popular neural network architectues and how they are used in unsupervised, semisupervised and supervises machine learning. I will also intrudce other common machine learning techniques and present example applications to problems in Physics (ranging from Astrophysics and Cosmology to Particle Physics, Mathematical Physics and String Theory). In the exercises, I will use the techniques introduced in the lectures to solve simple problems in real time.
For more information please check the event webpage.
Further events will be announced as soon as possible.