A compact dual-grating wavemeter using signal processing
Spectral resolution is an important parameter of a wavemeter. Here, we propose a compact wavemeter based on two gratings and signal processing. By applying the Multiple Signal Classification (MUSIC) algorithm to process the sampled Talbot patterns and reconstruct the spectrum, we have demonstrated t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Results in Physics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211379724007824 |
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| author | Yiming Wang Yi Ma Yu Huang Zhanfeng Li Xiaohu Yang |
| author_facet | Yiming Wang Yi Ma Yu Huang Zhanfeng Li Xiaohu Yang |
| author_sort | Yiming Wang |
| collection | DOAJ |
| description | Spectral resolution is an important parameter of a wavemeter. Here, we propose a compact wavemeter based on two gratings and signal processing. By applying the Multiple Signal Classification (MUSIC) algorithm to process the sampled Talbot patterns and reconstruct the spectrum, we have demonstrated through simulations the capability to enhance spectral resolution. Overall, we present a compact wavemeter capable of improving resolution. Using this method, while maintaining the contrast of the Talbot patterns, the spectral resolution can reach 5 pm, which is higher than that of any currently reported Talbot wavemeters. |
| format | Article |
| id | doaj-art-0b88a12875584c7aae7c864acdb8a982 |
| institution | Kabale University |
| issn | 2211-3797 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Physics |
| spelling | doaj-art-0b88a12875584c7aae7c864acdb8a9822025-01-18T05:04:34ZengElsevierResults in Physics2211-37972025-01-0168108097A compact dual-grating wavemeter using signal processingYiming Wang0Yi Ma1Yu Huang2Zhanfeng Li3Xiaohu Yang4Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; Corresponding author.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaSpectral resolution is an important parameter of a wavemeter. Here, we propose a compact wavemeter based on two gratings and signal processing. By applying the Multiple Signal Classification (MUSIC) algorithm to process the sampled Talbot patterns and reconstruct the spectrum, we have demonstrated through simulations the capability to enhance spectral resolution. Overall, we present a compact wavemeter capable of improving resolution. Using this method, while maintaining the contrast of the Talbot patterns, the spectral resolution can reach 5 pm, which is higher than that of any currently reported Talbot wavemeters.http://www.sciencedirect.com/science/article/pii/S2211379724007824Talbot effectHigh spectral resolutionWavemeter |
| spellingShingle | Yiming Wang Yi Ma Yu Huang Zhanfeng Li Xiaohu Yang A compact dual-grating wavemeter using signal processing Results in Physics Talbot effect High spectral resolution Wavemeter |
| title | A compact dual-grating wavemeter using signal processing |
| title_full | A compact dual-grating wavemeter using signal processing |
| title_fullStr | A compact dual-grating wavemeter using signal processing |
| title_full_unstemmed | A compact dual-grating wavemeter using signal processing |
| title_short | A compact dual-grating wavemeter using signal processing |
| title_sort | compact dual grating wavemeter using signal processing |
| topic | Talbot effect High spectral resolution Wavemeter |
| url | http://www.sciencedirect.com/science/article/pii/S2211379724007824 |
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