Journal article
Reconstruction of magnon eigenfunctions by X-Ray Magnetic Vector Chronoscopy
- Abstract:
- The collective precession of magnetization manifests itself as magnon modes. These modes are governed by complex-valued vectorial eigenfunctions, which have remained experimentally challenging to observe. Here we introduce XRay Magnetic Vector Chronoscopy (XMVC), a time-resolved resonant scattering method that reconstructs the full magnetization dynamics with angular resolution of 0.1◦(±0.01◦). Applied to a synthetic antiferromagnetic (SAF) multilayer [Si/NiFe (8 nm)/Ru(0.8 nm)/CoFeB (5.5 nm)], XMVC enables magnon state tomography, by directly measuring the nanoscale vectorial eigenfunctions of hybridized modes arising from magnon-magnon coupling. This approach provides full access to the system’s non-Hermitian Hamiltonian, revealing the complexvalues coupling strengths and non-orthogonal eigenbases. These results establish XMVC as an experimental platform for studying nanoscale spin systems by extracting the eigenfunctions of the system.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 9.7MB, Terms of use)
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- Publisher copy:
- 10.1038/s41565-026-02185-2
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/W524311/1
- 2888228
- Programme:
- Diamond-EPSRC studentship
+ Ministry of Human Resources and Social Security
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- Funder identifier:
- https://ror.org/01kjwqy11
- Grant:
- 2025M773402
- 2025M773358
- Programme:
- China Postdoctoral Science Foundation
+ Ministry of Science and Technology of the People's Republic of China
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- Funder identifier:
- https://ror.org/027s68j25
- Grant:
- 2022YFA1403602
- Programme:
- National Key R&D Program of China
+ National Natural Science Foundation of China
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- Funder identifier:
- https://ror.org/01h0zpd94
- Grant:
- 12241406
+ Chinese Academy of Sciences
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- Funder identifier:
- https://ror.org/034t30j35
- Grant:
- YSBR-084
- Publisher:
- Springer Nature
- Journal:
- Nature Nanotechnology More from this journal
- Publication date:
- 2026-05-27
- Acceptance date:
- 2026-04-23
- DOI:
- EISSN:
-
1748-3395
- ISSN:
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1748-3387
- Language:
-
English
- Pubs id:
-
2410807
- Local pid:
-
pubs:2410807
- Deposit date:
-
2026-04-23
- ARK identifier:
Terms of use
- Copyright holder:
- Jin et al.
- Copyright date:
- 2026
- Rights statement:
- © The Author(s), under exclusive licence to Springer Nature Limited 2026
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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