Journal Article

PUBDB-2022-01609

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Robust Ptychographic X-ray Speckle Tracking with Multilayer Laue lenses

Ivanov, N. (First author)DESY* ; Dresselhaus, J. L.CFEL* ; Carnis, J.CFEL*DESY* ; Domaracky, M.CFEL*DESY* ; Fleckenstein, H.CFEL*XFEL.EU*DESY* ; Li, C.CFEL*DESY* ; Li, T.CFEL* ; Prasciolu, M.CFEL*DESY* ; Yefanov, O.CFEL*DESY* ; Zhang, W.CFEL*DESY* ; Bajt, S.CFEL*XFEL.EU*DESY* ; Chapman, H. N. (Corresponding author)CFEL*XFEL.EU*DESY*

2022
Soc. Washington, DC

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Please use a persistent id in citations: doi:10.1364/OE.460903  doi:10.3204/PUBDB-2022-01609

Abstract: In recent years, X-ray speckle tracking techniques have emerged as viable tools for wavefront metrology and sample imaging applications, and have been actively developed for use at synchrotron light sources. Speckle techniques can recover an image free of aberrations and can be used to measure wavefronts with a high angular sensitivity. Since they are compatible with low-coherence sources they can be also used with laboratory X-ray sources. A new implementation of the ptychographic X-ray speckle tracking method, suitable for the metrology of highly divergent wavefields, such as those created by multilayer Laue lenses, is presented here. This new program incorporates machine learning techniques such as Huber and non-parametric regression and enables robust and quick wavefield measurements and data evaluation even for low brilliance X-ray beams, and the imaging of low-contrast samples. To realize this, a software suite was written in Python 3, with a C back-end capable of concurrent calculations for high performance. It is accessible as a Python module and is available as source code under Version 3 or later of the GNU General Public License.

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Contributing Institute(s):

1. FS-Arbeitsgruppe (FS-ML)
2. FS-CFEL-1 (Group Leader: Henry Chapman) (CFEL-I)
3. FS-ML (CFEL-XOM)

Research Program(s):

1. 633 - Life Sciences – Building Blocks of Life: Structure and Function (POF4-633) (POF4-633)
2. 6G3 - PETRA III (DESY) (POF4-6G3) (POF4-6G3)
3. DFG project 390715994 - EXC 2056: CUI: Advanced Imaging of Matter (390715994) (390715994)
4. DFG project 194651731 - EXC 1074: Hamburger Zentrum für ultraschnelle Beobachtung (CUI): Struktur, Dynamik und Kontrolle von Materie auf atomarer Skala (194651731) (194651731)

Experiment(s):

1. PETRA Beamline P11 (PETRA III)

Appears in the scientific report 2022

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