Announcements

Upcoming events

Second Newsletter 2016

Further information will be given as soon as it is available.

XXIX Workshop - Beyond the Standard Model

20.03.2017 – 23.03.2017
Bad Honnef Poster
From March 20th to March 23rd, 2017, the yearly workshop "Beyond the Standard Model" will take place at the Physikzentrum Bad Honnef. The workshop focuses on recent developments in the theory of fundamental particles, the physics of the early universe, and mathematical physics. There will be four introductory pedagogical lectures as well as shorter talks by the participants.
The topics and speakers of the pedagogical lectures are:
  • G. Arutyunov (Hamburg): Quantum Integrable Models in the AdS/CFT correspondence
  • D. Berman (London): An introduction to double and exceptional field theory
  • A. Nielsen (Hannover): Gravitational Waves and Black Holes
  • J. Wells (Ann Arbor): Particle Physics - Quo Vadis?
For more information and registration see the webpage.

Bethe Forum "Discrete Symmetries"

03.04.2017 – 07.04.2017
Poster Discrete Symmetries
We are happy to announce the Bethe Forum on "Discrete Symmetries", taking place from 3rd to 7th April, 2017, in the Bethe Center for Theoretical Physics in Bonn. The organizers are Steve King (Southampton), Stefan Antusch (Basel), Hans Peter Nilles (Bonn), and Andreas Trautner (Bonn).

For more information and the registration see the webpage.

Bethe Colloquium by Richard Neher

May 2017
James Wells

The next Bethe Colloquium will take place on Thursday, May 4th
(4:15 pm) in Hörsaal I:

  • Richard Neher (Biozentrum, University of Basel)
  • Rapid adaptation and the predictability of next year's flu
  • Hörsaal I, Physikalisches Institut

Abstract: Evolution is simple if adaptive mutations, that is evolutionary innovations, appear and spread one at a time. However, in large microbial populations many mutations arise simultaneously resulting in a complex dynamics of competing variants. I will discuss recent insights into universal properties of such rapidly adapting populations which has surprising parallels to the physics of front propagation and disordered systems. Not only do these models describe observations, but they also allow to predict which variants in the population are likely to be successful. When applied to seasonal influenza virus, such predictions can anticipate virus variants of future seasons and help to optimize the influenza vaccine.