About
Contact & Profiles
A5087280470
Research Areas
- Medical Imaging Techniques and Applications
- Particle Detector Development and Performance
- Radiomics and Machine Learning in Medical Imaging
- Particle physics theoretical and experimental studies
University of Göttingen
2023
10.1016/j.nima.2023.168112
article
EN
publisher-specific-oa
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
2023-02-08
We describe a neural network for predicting the background hit rate in Belle II detector produced by SuperKEKB electron-positron collider. The network, BGNet, learns to predict individual contributions of different physical sources, such as beam-gas scattering or continuous top-up injections into collider, sub-detector rates. samples learning are archived 1 Hz time series diagnostic variables from collider subsystems and measured rates used regression targets. test learned model on data run...
10.48550/arxiv.2301.06170
preprint
EN
cc-by-nc-nd
arXiv (Cornell University)
2023-01-01
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