A data-driven parametric simulator for MAPS detectors is developed from measurements, validated on MALTA2, and used to optimize hit merger designs for MALTA3 in high-rate environments.
Design of the Global Reconstruction Logic in the Belle II Level-1 Trigger system
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Unsupervised domain adaptation via feature alignment raises radioisotope identification accuracy on real LaBr3 gamma spectra from 0.754 to 0.904 for models trained only on synthetic data.
Hybrid FPGA-AI Engine deployment of a dynamic GNN for Belle II trigger achieves 2.94M events/s throughput at 7.15us latency with 53% better throughput and DSP usage reduced from 99% to 19%.
citing papers explorer
-
A Data-Driven Fast Simulation Approach for MAPS-based Detectors and their Optimization
A data-driven parametric simulator for MAPS detectors is developed from measurements, validated on MALTA2, and used to optimize hit merger designs for MALTA3 in high-rate environments.
-
Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy
Unsupervised domain adaptation via feature alignment raises radioisotope identification accuracy on real LaBr3 gamma spectra from 0.754 to 0.904 for models trained only on synthetic data.
-
Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science
Hybrid FPGA-AI Engine deployment of a dynamic GNN for Belle II trigger achieves 2.94M events/s throughput at 7.15us latency with 53% better throughput and DSP usage reduced from 99% to 19%.