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Title: Accurate contrast determination for X-ray speckle visibility spectroscopy

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.

Authors:
ORCiD logo; ; ORCiD logo; ;
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1633929
Alternate Identifier(s):
OSTI ID: 1633435
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Published Article
Journal Name:
Journal of Synchrotron Radiation (Online)
Additional Journal Information:
Journal Name: Journal of Synchrotron Radiation (Online) Journal Volume: 27 Journal Issue: 4; Journal ID: ISSN 1600-5775
Publisher:
International Union of Crystallography
Country of Publication:
Denmark
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; X-ray speckle visibility spectroscopy; XPCS; photon locating algorithms

Citation Formats

Sun, Yanwen, Montana-Lopez, Jordi, Fuoss, Paul, Sutton, Mark, and Zhu, Diling. Accurate contrast determination for X-ray speckle visibility spectroscopy. Denmark: N. p., 2020. Web. doi:10.1107/S1600577520006773.
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Sun, Yanwen, Montana-Lopez, Jordi, Fuoss, Paul, Sutton, Mark, & Zhu, Diling. Accurate contrast determination for X-ray speckle visibility spectroscopy. Denmark. https://doi.org/10.1107/S1600577520006773
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Sun, Yanwen, Montana-Lopez, Jordi, Fuoss, Paul, Sutton, Mark, and Zhu, Diling. Fri . "Accurate contrast determination for X-ray speckle visibility spectroscopy". Denmark. https://doi.org/10.1107/S1600577520006773.
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@article{osti_1633929,
title = {Accurate contrast determination for X-ray speckle visibility spectroscopy},
author = {Sun, Yanwen and Montana-Lopez, Jordi and Fuoss, Paul and Sutton, Mark and Zhu, Diling},
abstractNote = {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.},
doi = {10.1107/S1600577520006773},
journal = {Journal of Synchrotron Radiation (Online)},
number = 4,
volume = 27,
place = {Denmark},
year = {2020},
month = {6}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1107/S1600577520006773
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Figures / Tables:

Figure 1 Figure 1: Charge sharing in pixelated X-ray detectors and photon location recovery. (a) Simulated sparse Gaussian charge clouds generated from weak X-ray scattering. (b) Magnified view of a region of interest from (a), showing an 8 x 8 pixel area. The solid white lines indicate the pixel boundaries. One canmore » see photons that straddle across pixel boundaries. (c) Simulated detector image by binning (b) down to the outlined pixel grid and adding readout noise. Centers of the charge cloud representing the photon locations are indicated by circles. (d) Detector image after setting pixel readouts below a threshold to 0. In total 4 droplets are identified as indicated by the boundaries drawn in white. Photon positions recovered by the algorithm used in Ref (Hruszkewycz et al., 2012) are plotted with “+”. The color bar is shared by (c) and (d). Nominal one photon readout is 151 in our simulation.« less
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Works referenced in this record:

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