Fast Mode Decomposition with an Arbitrary Radial Intensity Column Using Training-free Radial Networks
A dimensionality-reduced, training-free radial physical neural network for the mode decomposition method is proposed, enabling fast, high-precision measurement by extracting an arbitrary column of radial data from the intensity pattern.
Authors
- Kaihua Hu (ORCID: https://orcid.org/0009-0007-4106-7200)
- Li Pei
- Zhouyi Hu (ORCID: https://orcid.org/0000-0002-8891-6341)
- Lin Xu (ORCID: https://orcid.org/0000-0001-7676-9172)
- Jianshuai Wang (ORCID: https://orcid.org/0000-0002-9247-6246)
- Chao Wang (ORCID: https://orcid.org/0000-0003-2076-9493)
- Han Gao (ORCID: https://orcid.org/0000-0003-2896-9852)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jps200_82
- Primary Topic
- Advanced Fiber Laser Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00