scholarly journals Simulations of multi-contrast x-ray imaging using near-field speckles

2016 ◽  
Author(s):  
Marie-Christine Zdora ◽  
Pierre Thibault ◽  
Julia Herzen ◽  
Franz Pfeiffer ◽  
Irene Zanette
Keyword(s):  
X Ray ◽  
2013 ◽  
Author(s):  
Bizhan Befrui ◽  
Andreas Aye ◽  
Peter Spiekermann ◽  
Daniel L. Varble ◽  
Mark A. Shost ◽  
...  

2020 ◽  
Vol 65 (18) ◽  
pp. 185014
Author(s):  
Heyang Thomas Li ◽  
Florian Schaff ◽  
Linda C P Croton ◽  
Kaye S Morgan ◽  
Marcus J Kitchen

2017 ◽  
Vol 35 (1) ◽  
pp. A30 ◽  
Author(s):  
Heyang (Thomas) Li ◽  
Andrew M. Kingston ◽  
Glenn R. Myers ◽  
Levi Beeching ◽  
Adrian P. Sheppard

2021 ◽  
pp. 146808742098675 ◽  
Author(s):  
Dmitrii Mamaikin ◽  
Tobias Knorsch ◽  
Philipp Rogler ◽  
Jin Wang ◽  
Michael Wensing

The development of the injector nozzle is a dynamic area in regard of several technical aspects. At first, the internal flow influences the near-field spray characteristics via various phenomena such as cavitation and turbulence. However, these phenomena are not fully understood due to their extremely fast, complex and multiscale nature. Furthermore, it governs the spray targeting inside the combustion chamber. High-speed X-ray imaging of GDI injector nozzles is performed in this study. The experimental results presented are related to the internal flow and primary breakup of discharged liquid jets. The injectors used are equipped with nozzles made of aluminum which have been specially developed for these investigations to enhance optical accessibility. The visualization of the needle motion, in-nozzle flow and the primary breakup region provides several exciting observations. First, the needle lift tracking exhibits short overshooting right before the steady-state of the injection phase. This event leads to a short-term, however, significant change in the associated performance of the breakup. This phenomenon is found to be a consequence of the transient behavior of the in-nozzle flow. It is shown that under some circumstances hydraulic flip may occur during this overshooting period. The primary jet breakup region is visualized and evaluated by means of image processing. Thus, the transient behavior of liquid jet expansion is quantified in the vicinity of the nozzle. It is observed that the liquid jet direction deviates from the hole axis already at the nozzle outlet, which is caused by internal flow characteristics.


2017 ◽  
Vol 24 (2) ◽  
pp. 498-505 ◽  
Author(s):  
Johannes Hagemann ◽  
Anna-Lena Robisch ◽  
Markus Osterhoff ◽  
Tim Salditt

In X-ray holographic near-field imaging the resolution and image quality depend sensitively on the beam. Artifacts are often encountered due to the strong focusing required to reach high resolution. Here, two schemes for reconstructing the complex-valued and extended wavefront of X-ray nano-probes, primarily in the planes relevant for imaging (i.e. focus, sample and detection plane), are presented and compared. Firstly, near-field ptychography is used, based on scanning a test pattern laterally as well as longitudinally along the optical axis. Secondly, any test pattern is dispensed of and the wavefront reconstructed only from data recorded for different longitudinal translations of the detector. For this purpose, an optimized multi-plane projection algorithm is presented, which can cope with the numerically very challenging setting of a divergent wavefront emanating from a hard X-ray nanoprobe. The results of both schemes are in very good agreement. The probe retrieval can be used as a tool for optics alignment, in particular at X-ray nanoprobe beamlines. Combining probe retrieval and object reconstruction is also shown to improve the image quality of holographic near-field imaging.


Author(s):  
Julie Bothell ◽  
Timothy Morgan ◽  
Alan L. Kastengren ◽  
Theodore (Ted) Heindel
Keyword(s):  
X Ray ◽  

2020 ◽  
Vol 53 (5) ◽  
pp. 1404-1413
Author(s):  
Vincent Favre-Nicolin ◽  
Gaétan Girard ◽  
Steven Leake ◽  
Jerome Carnis ◽  
Yuriy Chushkin ◽  
...  

The open-source PyNX toolkit has been extended to provide tools for coherent X-ray imaging data analysis and simulation. All calculations can be executed on graphical processing units (GPUs) to achieve high-performance computing speeds. The toolkit can be used for coherent diffraction imaging (CDI), ptychography and wavefront propagation, in the far- or near-field regime. Moreover, all imaging operations (propagation, projections, algorithm cycles…) can be implemented in Python as simple mathematical operators, an approach which can be used to easily combine basic algorithms in a tailored chain. Calculations can also be distributed to multiple GPUs, e.g. for large ptychography data sets. Command-line scripts are available for on-line CDI and ptychography analysis, either from raw beamline data sets or using the coherent X-ray imaging data format.


2015 ◽  
Vol 92 (1) ◽  
Author(s):  
Sebastien Berujon ◽  
Eric Ziegler
Keyword(s):  
X Ray ◽  

2018 ◽  
Vol 113 (4) ◽  
pp. 041109 ◽  
Author(s):  
J. Hagemann ◽  
M. Töpperwien ◽  
T. Salditt

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