# Upcoming Events

## Colloquium

Topic:

### Measuring intact protons at the LHC: From the odderon discovery to the search for axion-like particles

Date:

21.06.21

Time:

16:15

Place:

cyberspace

Guest:

Prof. Christophe Royon

University of Kansas

Abstract:

In the first part of the talk, we will describe the odderon discovery by the TOTEM and D0 experiments. The analysis compares the p pbar elastic cross section as measured by the D0 Collaboration at a center-of-mass energy of 1.96 TeV to that in pp collisions as measured by the TOTEM Collaboration at 2.76, 7, 8, and 13 TeV. The two data sets disagree at the 3.4 sigma level and thus provide evidence for the t-channel exchange of a colorless, C-odd gluonic compound, also known as the odderon. We combine these results with a TOTEM analysis of the same C-odd exchange based on the total cross section and the ratio of the real to imaginary parts of the forward elastic strong interaction scattering amplitude in pp scattering, leading to a combined significance larger than 5 sigma. In a second part of the talk, we will describe the perspective on the search for quartic anomalous couplings and axion-like particles using tagged protons in the final state, leading to sensitivities to beyond standard model physics that improve by 2 to 3 orders of magnitude on the coupling. We will finish by decribing briefly the ultra fast silicon detectors for timing measurements as well as for medical and cosmic ray physics applications.

Contact person:

S. Schlichting

## Colloquium Mathematical Physics

Topic:

### Random matrices, spin glasses, and machine learning

Date:

23.07.21

Time:

16:15

Place:

ZOOM/Konferenzschaltung

Guest:

Jon Keating

Oxford University

Abstract:

I will describe some problems relating to machine learning and their connections to random matrix theory and spin glasses. These connections give a mathematical framework for understanding in qualitative terms the effectiveness of certain algorithms that are important in machine learning, but developing them into precise models remains a major challenge. I will reflect on the different roles played by models in computer science and physics, focussing on those involving random matrices.

Contact person:

G. Akemann

## Seminar High Energy Physics

Topic:

### Machine Learning for Thermodynamic Observables in Lattice Field Theories

Date:

06.07.21

Time:

14:15

Place:

Online, via ZOOM

Guest:

Lena Funcke

Abstract:

In this talk, I will discuss how applying machine learning techniques to lattice field theory is a promising route for solving problems where Markov Chain Monte Carlo (MCMC) methods are problematic. More specifically, I will show that deep generative models can be used to estimate thermodynamic observables like the free energy, which contrasts with existing MCMC-based methods that are limited to only estimate free energy differences. I will demonstrate the effectiveness of the proposed method for two-dimensional $\phi^4$ theory and compare it to MCMC-based methods in detailed numerical experiments.

Contact person:

G. Endrödi

## Seminar Condensed Matter

Topic:

### Der Groveralgorithmus auf einem universellen Quantencomputer - Nur eine Simulation oder tatsächlich umsetzbar?

Date:

20.07.21

Time:

10:15

Place:

ZOOM / Konferenzschaltung

Guest:

Momme Hengstenberg

Universität Bielefeld

Abstract:

Contact person:

Jürgen Schnack

## Seminar Mathematical Physics

Topic:

### The Character Expansion in effective Theories for chiral Symmetry Breaking

Date:

03.12.20

Time:

16:30

Place:

ZOOM / Konferenzschaltung

Guest:

Noah Aygün

Universität Bielefeld

Abstract:

Contact person:

Gernot Akemann

## Seminar Bielefeld-Melbourne Random Matrices

Topic:

### Schur expansion of random-matrix reproducing kernels

Date:

21.07.21

Time:

09:00

Place:

ZOOM / Konferenzschaltung

Guest:

Miguel Tierz