Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning
Abstract To harness the full potential of the ultrafast electron diffraction (UED) and microscopy (UEM), we must know accurately the electron beam properties, such as emittance, energy spread, spatial-pointing jitter, and shot-to-shot energy fluctuation. Owing to the inherent fluctuations in UED/UEM...
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/a8e49568fa624eb3aa76fcf10c35690d |
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