2023/09/29 by Qichen Xu, Olle Eriksson, Xu, Qichen +3
Computer Science · #Applied Physics (physics.app-ph) #Computational Physics (physics.comp-ph) #Computer Graphics and Visualization Techniques #Data Visualization and Analytics #FOS: Physical sciences
paper · pdf · doi:10.48550/arxiv.2309.17367
openalex publication_date 2023/09/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Multiscale magnetic simulations, including micromagnetic and atomistic spin dynamics simulations, are widely used in the study of complex magnetic systems over a wide range of spatial and temporal scales. The advances in these simulation technologies have generated considerable amounts of data. However, a versatile and general tool for visualization, filtering, and denoising this data is largely lacking. To overcome these limitations, we have developed SpinView, a general interactive visual analysis tool for graphical exploration and data distillation. Combined with dynamic filters and a built-in database, it is possible to generate reproducible publication-quality images, videos, or portable interactive webpages within seconds. Since the basic input to SpinView is a vector field, it can be directly integrated with any spin dynamics simulation tool. With minimal effort on the part of the user, SpinView delivers a simplified workflow, speeds up analysis of complex datasets and trajectories, and enables new types of analysis and insight. SpinView is available from https://mxjk851.github.io/SpinView/