Interactive automated Bragg peak identification with 3D neutron scattering data
By:
Kilpatrick, Matthew C; Bruhwiler, David L; Carlin, Evan G; Nagler, Robert J; Kuhn, Alexander; Tatulea, Dragos; Mensmann, Jörg; Nienhaus, Marc; Messmer, Peter; Roemer, Steffen; Savici, Andrei T; Vacaliuc, Bogdan ; Hoffmann, Christina M; Tucker, Matthew G; Morgan, Zachary J; Kohl, James A
Page Number:
5138-5141
Volume:
14
Book Title:
Proc. 14th International Particle Accelerator Conference
Publication Date:
December 20, 2023
Publisher Location:
JACoW Publishing, Geneva, Switzerland
Conference Name:
14th International Particle Accelerator Conference
Conference Location:
Venice, Italy
Conference Sponsor:
European Physical Society ; International Union of Pure and Applied Physics
Abstract
Neutron scattering experiments have undergone significant technological development through large area detectors with concurrent enhancements in neutron transport and electronic functionality. Data collected for neutron events include detector pixel location in 3D, time and associated metadata, such as, sample orientation, neutron wavelength, and environmental conditions. RadiaSoft and Oak Ridge National Laboratory personnel are considering single-crystal diffraction data from the TOPAZ instrument. We are leveraging a new method for rapid, interactive analysis of neutron data using NVIDIA’s IndeX 3D volumetric visualization framework. We have implemented machine learning techniques to automatically identify Bragg peaks and separate them from diffuse backgrounds and analyze the crystalline lattice parameters for further analysis. The implementation of automatic peak identification into IndeX allows scientists to visualize and analyze data in real-time. Our methods include a robust comparison with current analysis techniques which show improvement in a variety of aspects. These improvements will be incorporated into IndeX for visualization to allow scientists an interactive tool for crystal analysis.
