Speaker
Description
Accurate and efficient computation of electric fields is essential for the detailed simulation of gas detectors, as these fields govern key processes such as particle drift, multiplication, avalanche formation, and signal development. The nearly exact Boundary Element Method (neBEM), integrated with Garfield++, offers a robust open-source framework for electrostatic field computation in complex three-dimensional geometries. However, the computational demands of neBEM, particularly for realistic detector models, present a significant challenge.
In this work, we present initial steps toward enhancing the computational efficiency of neBEM through parallelization using both OpenMP and GPU-based CUDA acceleration.
Performance benchmarks across different computing platforms demonstrate a substantial reduction in execution time, while maintaining consistency and accuracy in field estimates when compared with results from commercial FEM tools. Additionally, dynamic field calculations incorporating space charge contributions have been implemented, laying the groundwork for more realistic and time-dependent detector simulations. These developments represent the beginning of a scalable, high-performance field solver within the Garfield++ ecosystem—crucial for addressing non-linear and evolving phenomena in modern gaseous detectors.
