Impact and mitigation of angular uncertainties in Bragg coherent x-ray diffraction imaging [electronic resource]

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Brussels, Belgium : Oak Ridge, Tenn. : Belgium. Office of the European Research Council Executive Agency (ERCEA) ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2019.
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MARC

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245 0 0 |a Impact and mitigation of angular uncertainties in Bragg coherent x-ray diffraction imaging  |h [electronic resource] 
260 |a Brussels, Belgium :  |b Belgium. Office of the European Research Council Executive Agency (ERCEA) ;  |a Oak Ridge, Tenn. :  |b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,  |c 2019. 
300 |a Article No. 6386 :  |b digital, PDF file. 
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500 |a Published through SciTech Connect. 
500 |a 04/23/2019. 
500 |a "147776" 
500 |a Scientific Reports 9 1 ISSN 2045-2322 AM. 
500 |a I. Calvo-Almazán; M. Allain; S. Maddali; V. Chamard; S. O. Hruszkewycz. 
520 3 |a Bragg coherent diffraction imaging (BCDI) is a powerful technique to explore the local strain state and morphology of microscale crystals. The method can potentially reach nanometer-scale spatial resolution thanks to the advances in synchrotron design that dramatically increase coherent flux. However, there are experimental bottlenecks that may limit the image reconstruction quality from future high signal-to-noise ratio measurements. In this work we show that angular uncertainty of the sample orientation with respect to a fixed incoming beam is one example of such a factor, and we present a method to mitigate the resulting artifacts. On the basis of an alternative formulation of the forward problem, we design a phase retrieval algorithm which enables the simultaneous reconstruction of the object and determination of the exact angular position corresponding to each diffraction pattern in the data set. We have tested the algorithm performance on simulated data for different degrees of angular uncertainty and signal-to-noise ratio. 
536 |b AC02-06CH11357. 
650 7 |a Materials Science.  |2 edbsc. 
710 2 |a Argonne National Laboratory.  |4 res. 
710 2 |a Belgium.  |b Office of the European Research Council Executive Agency (ERCEA).  |4 spn. 
710 1 |a United States.  |b Department of Energy.  |b Office of Basic Energy Sciences.  |4 spn. 
710 1 |a United States.  |b Department of Energy.  |b Office of Scientific and Technical Information.  |4 dst. 
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