Conveners
Physics: Application Area Meeting
- Jens Buß (Lamarr Institute, TU Dortmund University)
The study of sunspot numbers is crucial for understanding solar activity and its impact on Earth's climate and space weather. This research analyzes the temporal patterns in historical sunspot data and develops predictive models for long-term forecasting. Using statistical and deep learning techniques, we identify key trends, periodicities, and anomalies in sunspot cycles. The proposed models...
Anomaly and signal detection is one of the most important use cases of machine learning (ML) both in scientific and in commercial applications. Anomalous signals are measured relative to an expected behavior of data, i.e., relative to the background or to the priors. Relevant examples of anomalies and signals in physics can be: an excess of gamma-rays near the center of our Galaxy (a possible...
Plasma fusion has the potential to provide an efficient and safe energy source, however, several technological challenges still remain before fusion reactors can be realized at large scale. One promising direction is called stellarator in which the plasma is guided into a possibly complex equilibrium flow by magnetic fields. The optimal form for this flow is still unknown and only very sparse...
High-energy particle physics experiments are on the brink of facing significant challenges in reconstructing complex events due to increasing intensities and energies. The scientific aim of the presented work is to address the growing computational complexity of event reconstruction while enhancing efficiency and improving the precision of analyses in the ATLAS, LHCb, and Belle II experiments....
