Example Gallery

Example 1

Description: Uniformly magnetized spherical nanoparticle benchmark.

This example provides the 3D structural and magnetic configuration of a homogeneous spherical nanoparticle together with the corresponding NuMagSANS input and output files. It is intended as a simple benchmark and validation case for testing nuclear and magnetic SANS calculations against a well-defined reference geometry.

Zenodo Link: https://doi.org/10.5281/zenodo.17491221

Reference: M. P. Adams, A. Michels, J. Appl. Cryst. 59, 3 (2026)

DOI: https://doi.org/10.1107/S160057672600258X

Preprint: https://doi.org/10.48550/arXiv.2601.18444

Example 2

Description: Linearized vortex benchmark in a spherical nanoparticle.

A reference dataset for a spherical nanoparticle with a linearized vortex magnetization state, designed for benchmarking and validation of the NuMagSANS framework. The record includes real-space nuclear and magnetic input data, a data-generation script, a NuMagSANS configuration file, and the corresponding simulated SANS cross sections.

Zenodo Link: https://doi.org/10.5281/zenodo.17594693

Reference: M. P. Adams, A. Michels, J. Appl. Cryst. 59, 3 (2026)

DOI: https://doi.org/10.1107/S160057672600258X

Preprint: https://doi.org/10.48550/arXiv.2601.18444

Example 3

Description: Dilute ensemble of spherical iron nanoparticles with cubic anisotropy.

A reference workflow for simulating a dilute ensemble of spherical iron nanoparticles with cubic magnetocrystalline anisotropy using MuMax3 and NuMagSANS. The dataset includes the full simulation and post-processing pipeline, covering random-field hysteresis simulations, back-rotation into a common reference frame, and the corresponding magnetic SANS cross sections for benchmarking and validation.

Zenodo Link: https://doi.org/10.5281/zenodo.17931156

Reference: M. P. Adams, A. Michels, J. Appl. Cryst. 59, 3 (2026)

DOI: https://doi.org/10.1107/S160057672600258X

Preprint: https://doi.org/10.48550/arXiv.2601.18444

Example 4

Description: NuMagSANS runtime scaling benchmark.

A benchmark dataset for assessing the runtime scaling of the GPU-accelerated NuMagSANS framework as a function of system size. The record includes the input-generation scripts, benchmark workflow, full simulation outputs, and log files required to reproduce and analyze the reported execution times.

Zenodo Link: https://doi.org/10.5281/zenodo.18187509

Reference: M. P. Adams, A. Michels, J. Appl. Cryst. 59, 3 (2026)

DOI: https://doi.org/10.1107/S160057672600258X

Preprint: https://doi.org/10.48550/arXiv.2601.18444

Example 5

Description: Angular anisotropy landscape of vortex ensembles in polarized SANS.

A companion dataset to the corresponding article, providing the simulation and visualization workflow for polarized spin-flip SANS from spherical nanoparticles with vortex-like magnetization states. The record includes scripts for generating real-space magnetic configurations, running NuMagSANS, mapping the resulting 2D scattering patterns across parameter space, and reproducing the associated manuscript figures.

Zenodo Link: https://doi.org/10.5281/zenodo.19348079

Reference: M. P. Adams, E. M. Jefremovas, A. Michels, arXiv.2603.29830 (2026)

Preprint: https://doi.org/10.48550/arXiv.2603.29830

Example 6

Description: DMI signature in polarized SANS from FeGe nanoparticles.

A companion dataset to the corresponding article on the neutron-scattering signature of the Dzyaloshinskii–Moriya interaction in spherical FeGe nanoparticles. The record supports the simulation and analysis of randomly averaged spin-flip SANS cross sections, the chiral function, and pair-distance distribution functions, highlighting that a nonzero chiral signal emerges only when the DMI is included.

Reference: E. P. Sinaga, M. P. Adams, E. H. Hasdeo, A. Michels, Phys. Rev. B 110, 054404 (2024)

DOI: https://doi.org/10.1103/PhysRevB.110.054404

Preprint: https://doi.org/10.48550/arXiv.2402.00558