ArticleScientific reports2019
A novel nondestructive diagnostic method for mega-electron-volt ultrafast electron diffraction.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Toward fully automated UED operation using two-stage machine learning model.Scientific reports · 2022Article
- Accurate prediction of mega-electron-volt electron beam properties from UED using machine learning.Scientific reports · 2021Article
- Toward monochromated sub-nanometer UEM and femtosecond UED.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
A real-time, nondestructive, Bragg-diffracted electron beam energy, energy-spread and spatial-pointing jitter monitor is experimentally verified by encoding the electron beam energy and spatial-pointing jitter information into the mega-electron-volt ultrafast electron diffraction pattern. The shot-to-shot fluctuation of the diffraction pattern is then decomposed to two basic modes, i.e., the distance between the Bragg peaks as well as its variation (radial mode) and the overall lateral shift of the whole pattern (drift mode). Since these two modes are completely decoupled, the Bragg-diffraction method can simultaneously measure the shot-to-shot energy fluctuation from the radial mode with 2·10
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Registered trials
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