Efficient end-to-end simulation of time-dependent coherent X-ray scattering experiments.
GPU acceleration
Synchrotron Radiation Workshop
X-ray photon correlation spectroscopy
coherent-mode decomposition
Journal
Journal of synchrotron radiation
ISSN: 1600-5775
Titre abrégé: J Synchrotron Radiat
Pays: United States
ID NLM: 9888878
Informations de publication
Date de publication:
01 May 2024
01 May 2024
Historique:
medline:
22
3
2024
pubmed:
22
3
2024
entrez:
22
3
2024
Statut:
aheadofprint
Résumé
Physical optics simulations for beamlines and experiments allow users to test experiment feasibility and optimize beamline settings ahead of beam time in order to optimize valuable beam time at synchrotron light sources like NSLS-II. Further, such simulations also help to develop and test experimental data processing methods and software in advance. The Synchrotron Radiation Workshop (SRW) software package supports such complex simulations. We demonstrate how recent developments in SRW significantly improve the efficiency of physical optics simulations, such as end-to-end simulations of time-dependent X-ray photon correlation spectroscopy experiments with partially coherent undulator radiation (UR). The molecular dynamics simulation code LAMMPS was chosen to model the sample: a solution of silica nanoparticles in water at room temperature. Real-space distributions of nanoparticles produced by LAMMPS were imported into SRW and used to simulate scattering patterns of partially coherent hard X-ray UR from such a sample at the detector. The partially coherent UR illuminating the sample can be represented by a set of orthogonal coherent modes obtained by simulation of emission and propagation of this radiation through the coherent hard X-ray (CHX) scattering beamline followed by a coherent-mode decomposition. GPU acceleration is added for several key functions of SRW used in propagation from sample to detector, further improving the speed of the calculations. The accuracy of this simulation is benchmarked by comparison with experimental data.
Identifiants
pubmed: 38517755
pii: S1600577524001267
doi: 10.1107/S1600577524001267
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : US Department of Energy, Office of Science
ID : DE-SC0012704
Organisme : US Department of Energy, Office of Science
ID : PS-017
Informations de copyright
open access.