Accurate contrast determination for X-ray speckle visibility spectroscopy.
Yanwen SunJordi Montana-LopezPaul FuossMark SuttonDiling ZhuPublished in: Journal of synchrotron radiation (2020)
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.
Keyphrases
- high resolution
- dual energy
- machine learning
- single molecule
- electron microscopy
- magnetic resonance
- deep learning
- big data
- solid state
- computed tomography
- electronic health record
- living cells
- emergency department
- tandem mass spectrometry
- contrast enhanced
- image quality
- patient safety
- data analysis
- drosophila melanogaster