On Wednesday and Thursday, the HEP group hosted the first TrackOpt workshop at the Untere Schloss in Siegen, bringing together researchers to discuss tracking challenges in particle physics, microfluidics, and microscopy. The event included an introduction to the working principles of the ATLAS detector and lab tours at the Emmy Noether Campus. The workshop involved also the groups of Margret Keuper (University of Mannheim), Christian Cierpka (TU Ilmenau), Ivo Ihrke (Universität Siegen), and Paul Swoboda (University of Düsseldorf).
The BMBF-funded TrackOpt project aims to develop a resilient tracking framework that integrates model-driven optimization with deep neural networks, combining the strengths of both approaches. The goal is to enable data-efficient and reliable solutions for tracking problems across particle physics, microfluidics, and microscopy. By incorporating domain-specific knowledge into the learning process, TrackOpt seeks to improve tracking efficiency and make it more resilient to measurement uncertainties across multiple physics diciplines.
