6 citations · 14 across the 10 of their papers we have counts for
10 papers
AES-Debye: an Accurate, Efficient, and Scalable Engine for Debye Scattering Calculations
Navid Panchi, Sebastian Kuckuk, Markus Wittmann +2
Total scattering models are essential for characterizing the structure and disorder of nanoscale materials. The Debye scattering equation (DSE) provides a rigorous route to elastic…
Towards Code Generation for Octree-Based Multigrid Solvers
Richard Angersbach, Sebastian Kuckuck, Harald Köstler
This paper presents a novel method designed to generate multigrid solvers optimized for octree-based software frameworks. Our approach focuses on accurately capturing local feature…
Optimal operation of cryogenic calorimeters through deep reinforcement learning
G. Angloher, S. Banik, G. Benato +59
Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to light dark matter-nucleus scattering in current direct detection dark matter searches. In su…
p-adaptive discontinuous Galerkin method for the shallow water equations on heterogeneous computing architectures
Sara Faghih-Naini, Vadym Aizinger, Sebastian Kuckuk +2
Heterogeneous computing and exploiting integrated CPU-GPU architectures has become a clear current trend since the flattening of Moore's Law. In this work, we propose a numerical a…
Detector development for the CRESST experiment
G. Angloher, S. Banik, G. Benato +55
Recently low-mass dark matter direct searches have been hindered by a low energy background, drastically reducing the physics reach of the experiments. In the CRESST-III experiment…
Light Dark Matter Search Using a Diamond Cryogenic Detector
CRESST Collaboration, G. Angloher, S. Banik +56
Diamond operated as a cryogenic calorimeter is an excellent target for direct detection of low-mass dark matter candidates. Following the realization of the first low-threshold cry…