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Aktuelle Veranstaltungen

 

Kolloquium

Thema:

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

Datum:

21.06.21

Uhrzeit:

16:15

Ort:

cyberspace

Vortragender:

Prof. Christophe Royon

University of Kansas

Inhalt:

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.

Ansprechpartner:

S. Schlichting

Kolloquium Mathematische Physik

Thema:

20210723 - Jon Keating - TBC

Datum:

23.07.21

Uhrzeit:

16:15

Ort:

ZOOM/Konferenzschaltung

Vortragender:

Jon Keating

Oxford University

Inhalt:

TBC

Ansprechpartner:

G. Akemann

Seminar Hochenergiephysik

Thema:

Machine Learning for Thermodynamic Observables in Lattice Field Theories

Datum:

06.07.21

Uhrzeit:

14:15

Ort:

Online, via ZOOM

Vortragender:

Lena Funcke

Perimeter Institute, Ontario, Canada

Inhalt:

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.

Ansprechpartner:

G. Endrödi

Seminar Kondensierte Materie

Thema:

Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States

Datum:

01.07.21

Uhrzeit:

14:15

Ort:

ZOOM / Konferenzschaltung

Vortragender:

Agnes Valenti

ETH Zürich

Inhalt:

Ansprechpartner:

Jürgen Schnack

Seminar Mathematische Physik

Thema:

The Character Expansion in effective Theories for chiral Symmetry Breaking

Datum:

03.12.20

Uhrzeit:

16:30

Ort:

ZOOM / Konferenzschaltung

Vortragender:

Noah Aygün

Universität Bielefeld

Inhalt:

Ansprechpartner:

Gernot Akemann

Seminar AG Zufallsmatrizen

Thema:

Asymptotic densities of real eigenvalues of asymmetric real random matrices

Datum:

23.06.21

Uhrzeit:

09:00

Ort:

ZOOM / Konferenzschaltung

Vortragender:

Wojciech Tarnowski

Jagiellonian University Krakow

Inhalt:

Spectra of asymmetric random matrices have been studied for decades. Despite this, densities of real eigenvalues are not yet fully understood. In particular, their large-N form is obtained through elaborated asymptotic analysis of the finite size results. This is in a strong contrast with the complex densities, for which various tools like Feynman diagrams, cavity equations and free probability provide large-N formulas without the need to solve finite size models. This talk aims at filling this embarrassing gap. I will provide a simple formula relating the asymptotic density of real eigenvalues with the asymptotic density of complex eigenvalues and discuss its applicability.

Ansprechpartner:

Gernot Akemann



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  • | Letzte Änderung: 23.11.2011
  •  Olaf Kaczmarek
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