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Calendar of Physics Talks Vienna
| Probing new physics with open quantum systems (Vienna Theory Lunch Seminar) |
| Speaker: | Christian Käding (TU Wien) |
| Abstract: | The field theory of open quantum systems has ample applications in areas like particle or nuclear physics, cosmology, and quantum gravity. In this talk, I will introduce open quantum systems and their description via the Feynman-Vernon influence functional in field theory. Subsequently, I will discuss applications of this formalism to the search for new physics beyond the standard models of particles and cosmology.
[[This talk is part of the "Vienna Theory Lunch Seminar", a weekly seminar aimed at both graduate and advanced undergraduate students, jointly organized by the University of Vienna and TU Wien. The focus of the seminar is on recent theoretical research done by Master students, PhDs and PostDocs. Free lunch (pizza) will be provided at the seminar. For more information please visit our web page: https://lunch-seminar.univie.ac.at, where you can also subscribe to our mailing lis |
| Date: | Tue, 09.01.2024 |
| Time: | 12:30 |
| Duration: | 75 min |
| Location: | TU Wien: Wiedner Hauptstr. 8-10, yellow area, 10th floor, seminar room DB10E11 |
| Contact: | Florian Lindenbauer |
| Improving HEP Simulation and Analyses with Invertible Neural Networks |
| Speaker: | Claudius Krause (HEPHY, Vienna) |
| Abstract: | LHC run 3 just started and in the years leading up to 2040, we will see a 20-fold increase in available data.
This forthcoming dataset will have enormous potential for a deeper understanding of the Standard Model and possible physics beyond it.
In my talk, I will highlight how advancements in modern Machine Learning can help speed up crucial bottlenecks and open new avenues
for model-agnostic searches of physics beyond the Standard Model.
In particular, I will focus on Normalizing Flows (also known as invertible neural networks), which provide a versatile class of
Machine Learning models that have seen many applications to high-energy physics.
I will discuss how Normalizing Flows can be used to improve the unweighting efficiency in Monte Carlo event generation,
speed up detector simulation, and how they can boost bump hunt searches for new physics. |
| Date: | Tue, 09.01.2024 |
| Time: | 16:15 |
| Duration: | 60 min |
| Location: | Fakultaet fuer Physik, Erwin Schroedinger-HS, Boltzmanngasse 5, 5. Stock |
| Contact: | A. Hoang, M. Procura |
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