Bayesian inference of high-purity germanium detector impurities based on capacitance measurements and machine-learning accelerated capacitance calculations
Abstract The impurity density in high-purity germanium detectors is crucial to understand and simulate such detectors. However, the information about the impurities provided by the manufacturer, based on Hall effect measurements, is typically limited to a few locations and comes with a large uncerta...
Tallennettuna:
| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
SpringerOpen
2023-05-01
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| Sarja: | European Physical Journal C: Particles and Fields |
| Linkit: | https://doi.org/10.1140/epjc/s10052-023-11509-8 |
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