The Scatman: an approximate method for fast wide-angle scattering simulations

Fuente: arXiv
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Autori principali: Colombo, Alessandro, Zimmermann, Julian, Langbehn, Bruno, Moller, Thomas, Peltz, Christian, Sander, Katharina, Kruse, Bjorn, Tummler, Paul, Barke, Ingo, Rupp, Daniela, Fennel, Thomas
Natura: Preprint
Pubblicazione: 2022
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author Colombo, Alessandro
Zimmermann, Julian
Langbehn, Bruno
Moller, Thomas
Peltz, Christian
Sander, Katharina
Kruse, Bjorn
Tummler, Paul
Barke, Ingo
Rupp, Daniela
Fennel, Thomas
author_facet Colombo, Alessandro
Zimmermann, Julian
Langbehn, Bruno
Moller, Thomas
Peltz, Christian
Sander, Katharina
Kruse, Bjorn
Tummler, Paul
Barke, Ingo
Rupp, Daniela
Fennel, Thomas
contents Single-shot Coherent Diffraction Imaging (CDI) is a powerful approach to characterize the structure and dynamics of isolated nanoscale objects such as single viruses, aerosols, nanocrystals or droplets. Using X-ray wavelengths, the diffraction images in CDI experiments usually cover only small scattering angles of few degrees. These small-angle patterns represent the magnitude of the Fourier transform of the two-dimensional projection of the sample's electron density, which can be reconstructed efficiently but lacks any depth information. In cases where the diffracted signal can be measured up to scattering angles exceeding 10 degrees, i.e. in the wide-angle regime, three-dimensional morphological information of the target is contained in a single-shot diffraction pattern. However, the extraction of the 3D structural information is no longer straightforward and defines the key challenge in wide-angle CDI. So far, the most convenient approach relies on iterative forward fitting of the scattering pattern using scattering simulations. Here we present the Scatman, an approximate and fast numerical tool for the simulation and iterative fitting of wide-angle scattering images of isolated samples. Furthermore, we publish and describe in detail our Open Source software implementation of the Scatman algorithm, PyScatman. The Scatman approach yields quantitative results for weakly scattering samples. PyScatman is capable of computing wide-angle scattering patterns in few milliseconds even on consumer-level computing hardware. The high computational efficiency of PyScatman enables effective data analysis based on model fitting, thus representing an important step towards a systematic application of 3D Coherent Diffraction Imaging from single wide-angle diffraction patterns in various scientific communities.
format Preprint
id arxiv_https___arxiv_org_abs_2202_03411
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle The Scatman: an approximate method for fast wide-angle scattering simulations
Colombo, Alessandro
Zimmermann, Julian
Langbehn, Bruno
Moller, Thomas
Peltz, Christian
Sander, Katharina
Kruse, Bjorn
Tummler, Paul
Barke, Ingo
Rupp, Daniela
Fennel, Thomas
Computational Physics
Atomic and Molecular Clusters
Optics
Single-shot Coherent Diffraction Imaging (CDI) is a powerful approach to characterize the structure and dynamics of isolated nanoscale objects such as single viruses, aerosols, nanocrystals or droplets. Using X-ray wavelengths, the diffraction images in CDI experiments usually cover only small scattering angles of few degrees. These small-angle patterns represent the magnitude of the Fourier transform of the two-dimensional projection of the sample's electron density, which can be reconstructed efficiently but lacks any depth information. In cases where the diffracted signal can be measured up to scattering angles exceeding 10 degrees, i.e. in the wide-angle regime, three-dimensional morphological information of the target is contained in a single-shot diffraction pattern. However, the extraction of the 3D structural information is no longer straightforward and defines the key challenge in wide-angle CDI. So far, the most convenient approach relies on iterative forward fitting of the scattering pattern using scattering simulations. Here we present the Scatman, an approximate and fast numerical tool for the simulation and iterative fitting of wide-angle scattering images of isolated samples. Furthermore, we publish and describe in detail our Open Source software implementation of the Scatman algorithm, PyScatman. The Scatman approach yields quantitative results for weakly scattering samples. PyScatman is capable of computing wide-angle scattering patterns in few milliseconds even on consumer-level computing hardware. The high computational efficiency of PyScatman enables effective data analysis based on model fitting, thus representing an important step towards a systematic application of 3D Coherent Diffraction Imaging from single wide-angle diffraction patterns in various scientific communities.
title The Scatman: an approximate method for fast wide-angle scattering simulations
topic Computational Physics
Atomic and Molecular Clusters
Optics
url https://arxiv.org/abs/2202.03411