ArticleJournal of synchrotron radiation2020
Accurate contrast determination for X-ray speckle visibility spectroscopy.
Article in Journal of synchrotron radiation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Non-uniform interval-pulse X-ray photon correlation spectroscopy for reduced exposure.Journal of synchrotron radiation · 2026Article
- Direct observation of ultrafast cluster dynamics in supercritical carbon dioxide using X-ray Photon Correlation Spectroscopy.Nature communications · 2024Article
- Speckle contrast of interfering fluorescence X-rays.Journal of synchrotron radiation · 2023Article
- A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis.Structural dynamics (Melville, N.Y.) · 2022Article
- Absolute contrast estimation for soft X-ray photon fluctuation spectroscopy using a variational droplet model.Scientific reports · 2021Article
- Split-pulse X-ray photon correlation spectroscopy with seeded X-rays from X-ray laser to study atomic-level dynamics.Nature communications · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
X-ray speckle visibility spectroscopy using X-ray free-electron lasers has long been proposed as a probe of fast dynamics in noncrystalline materials. In this paper, numerical modeling is presented to show how the data interpretation of visibility spectroscopy can be impacted by the nonidealities of real-life X-ray detectors. Using simulated detector data, this work provides a detailed analysis of the systematic errors of several contrast extraction algorithms in the context of low-count-rate X-ray speckle visibility spectroscopy and their origins are discussed. Here, it was found that the finite detector charge cloud and pixel size lead to an unavoidable `degeneracy' in photon position determination, and that the contrasts extracted using different algorithms can all be corrected by a simple linear model. The results suggest that experimental calibration of the correction coefficient at the count rate of interest is possible and essential. This allows computationally lightweight algorithms to be implemented for on-the-fly analysis.
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Registered trials
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