Technische Universität München
Professur für Data Science in Physik (Prof. Heinrich)
Boltzmannstr. 2
85748 Garching b. München
Eine Beschreibung der faszinierenden Forschungsthemen folgt in Kürze.
Physics Letters B
Abstract: This paper presents the first observation of top-quark pair production in association with two photons (tt¯γγ). The measurement is performed in the single-lepton decay channel using proton-proton…
European Physical Journal C
Abstract: The existence of right-handed neutrinos with Majorana masses below the electroweak scale could help address the origins of neutrino masses, the matter–antimatter asymmetry, and dark matter. In this…
Journal of High Energy Physics
Abstract: The top-quark Yukawa coupling is extracted from the distribution of the top-quark pair (tt¯) invariant mass in proton-proton collisions using 140 fb−1 of data at s=13 TeV collected in 2015–2018 by the…
European Physical Journal C
Abstract: A model-agnostic search for Beyond the Standard Model physics is presented, targeting final states with at least four light leptons (electrons or muons). The search regions are separated by event…
European Physical Journal C
Abstract: When deriving the B0 meson decay width Γd from the measured effective lifetime τB0 formula (1) for the decay of the B0 and B¯0 mesons to the same final state has been used, which included a nonzero…
Journal of High Energy Physics
Abstract: At the Large Hadron Collider, the WbWb final state is expected to be dominated by tt¯ production with a contribution from single-top processes. Differential cross-sections for WbWb production in the…
European Physical Journal C
Abstract: The worldwide distribution of ATLAS computing, based on the amount of CPU provided, in HS23 (see Sect. 4.1 for the precise definition of HS23), on average in 2023–2024. Countries in gray did not…
Physics Letters B
Abstract: A search for Standard Model Higgs bosons produced in association with a high-energy photon and decaying to bb¯ is performed using 133 fb−1 of s=13 TeV pp collision data collected with the ATLAS…
Machine Learning: Science and Technology
Abstract: Artificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across particle, nuclear, and…
Physical Review Letters
Abstract: Anisotropic flow and radial flow are two key probes of the expansion dynamics and properties of the quark-gluon plasma (QGP). While anisotropic flow has been extensively studied, radial flow, which…
| Titel | Termine | Dauer | Art | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Einführung in Probabilistic Reasoning |
|
1 | VO | |
| Experimentalphysik 3 |
|
4 | VO | |
| Methoden der Datenwissenschaft |
|
2 | VO | |
| Offenes Tutorium zu Experimentalphysik 3 |
|
2 | UE | |
| Werkzeuge der Datenwissenschaft |
|
2 | VO | |
| Übung zu Einführung in Probabilistic Reasoning |
|
1 | UE | |
| Übung zu Experimentalphysik 3 |
|
2 | UE | |
| Übung zu Methoden der Datenwissenschaft |
|
1 | UE |
P. Eller [L]
|
| Übung zu Werkzeuge der Datenwissenschaft |
|
1 | UE |
P. Eller [L]
|
| Titel | Termine | Dauer | Art | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Data Science in Physik |
|
2 | PS | |
| Einführung in Machine Learning |
|
2 | VO | |
| Einführung in Probabilistic Reasoning |
|
1 | VO | |
| Modernes Deep Learning in der Physik |
|
2 | VO | |
| Repetitorium zu Data Science in Physik |
|
2 | RE |
L. Heinrich [L]
|
| Übung zu Einführung in Machine Learning |
|
2 | UE | |
| Übung zu Einführung in Probabilistic Reasoning |
|
1 | UE | |
| Übung zu Modernes Deep Learning in der Physik |
|
2 | UE |
L. Heinrich [L]
|