4 papers
Particle tracking with physics-informed deep learning methods
Matthias Remta, Anja Beck, Shanthalakshmi Kilambi +2
Simulating the motion of charged particles in electromagnetic fields is essential for designing and optimising particle accelerators. Conventional tools rely on symplectic integrat…
Flavor-physics benchmarks for tracker-based particle identification at the FCC-ee
Anja Beck, Eluned Smith
The correct identification of charged hadrons plays a crucial role in flavor-physics measurements. The final detector configurations at the proposed Future Circular Collider are ye…
Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis
James McGreivy, Blaise Delaney, Anja Beck +1
Generative Large Language Models (LLMs) are a promising approach to structuring knowledge contained within the corpora of research literature produced by large-scale and long-runni…
Communicating Likelihoods with Normalising Flows
Jack Y. Araz, Anja Beck, Méril Reboud +2
We present a machine-learning-based workflow to model an unbinned likelihood from its samples. A key advancement over existing approaches is the validation of the learned likelihoo…