2 papers
physics.ins-det2026
Machine Learning Approaches for Improved Scalability of Metallic Magnetic Calorimeters
Marc Oliver Herdrich, Toni Mattis, Günter Weber +3
Metallic Magnetic Calorimeters (MMCs) are a promising new tool for high precision X-ray spectroscopy. However, the complexity of the detector response and the need for scalable pro…
cs.PL2025
Probing the Design Space: Parallel Versions for Exploratory Programming
Tom Beckmann, Joana Bergsiek, Eva Krebs +4
Exploratory programming involves open-ended tasks. To evaluate their progress on these, programmers require frequent feedback and means to tell if the feedback they observe is brin…