Kernel Polynomial Method for Linear Spin Wave Theory
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912133305860096 |
|---|---|
| author | Lane, Harry Zhang, Hao Dahlbom, David Quinn, Sam Somma, Rolando D. Mourigal, Martin Batista, Cristian D. Barros, Kipton |
| author_facet | Lane, Harry Zhang, Hao Dahlbom, David Quinn, Sam Somma, Rolando D. Mourigal, Martin Batista, Cristian D. Barros, Kipton |
| contents | Calculating dynamical spin correlations is essential for matching model magnetic exchange Hamiltonians to momentum-resolved spectroscopic measurements. A major numerical bottleneck is the diagonalization of the dynamical matrix, especially in systems with large magnetic unit cells, such as those with incommensurate magnetic structures or quenched disorder. In this paper, we demonstrate an efficient scheme based on the kernel polynomial method for calculating dynamical correlations of relevance to inelastic neutron scattering experiments. This method reduces the scaling of numerical cost from cubic to linear in the magnetic unit cell size. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_08349 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Kernel Polynomial Method for Linear Spin Wave Theory Lane, Harry Zhang, Hao Dahlbom, David Quinn, Sam Somma, Rolando D. Mourigal, Martin Batista, Cristian D. Barros, Kipton Strongly Correlated Electrons Calculating dynamical spin correlations is essential for matching model magnetic exchange Hamiltonians to momentum-resolved spectroscopic measurements. A major numerical bottleneck is the diagonalization of the dynamical matrix, especially in systems with large magnetic unit cells, such as those with incommensurate magnetic structures or quenched disorder. In this paper, we demonstrate an efficient scheme based on the kernel polynomial method for calculating dynamical correlations of relevance to inelastic neutron scattering experiments. This method reduces the scaling of numerical cost from cubic to linear in the magnetic unit cell size. |
| title | Kernel Polynomial Method for Linear Spin Wave Theory |
| topic | Strongly Correlated Electrons |
| url | https://arxiv.org/abs/2312.08349 |