{"title":"Computational spectrum reconstruction based on all-dielectric metasurface and correlation selection","authors":"Tonghui Zhao , Jing Zhu , Wei Wu , Yuting Zhang , Jianglin Chen , Lianqing Zhu","doi":"10.1016/j.optcom.2025.132416","DOIUrl":null,"url":null,"abstract":"<div><div>A computational spectrum reconstruction method in the mid-wave infrared band based on all-dielectric metasurfaces and correlation selection is proposed in this study, aiming to address the limitations of traditional spectrometers, such as large volume and the difficulty in balancing resolution and miniaturization. By designing an all-dielectric metasurface structure composed of composite circular pillars, rectangular pillars, cross-shaped pillars, and annular nanoscale pillars, and combining a greedy algorithm to screen low-correlation transmission spectra, a filter measurement matrix with a low Pearson correlation coefficient (average absolute value of 0.2104) was constructed. Non-negative least squares (NNLS) and second-order difference regularization algorithms were used for spectral reconstruction. Experimental results show that within the wavelength range of 3–5 μm, this method achieves high-precision reconstruction of single narrowband spectra (full width at half maximum of 15 nm) and biomal spectra, with a spectral resolution of 25 nm. The root-mean-square error (RMSE) for the reconstruction of 6 sets of broadband spectra is 5.407 × 10<sup>−3</sup>. This scheme combines compactness and high-resolution characteristics, providing a new method for miniaturized mid-wave infrared spectral analysis and portable mid-wave infrared spectral detection.</div></div>","PeriodicalId":19586,"journal":{"name":"Optics Communications","volume":"596 ","pages":"Article 132416"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics Communications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0030401825009447","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
A computational spectrum reconstruction method in the mid-wave infrared band based on all-dielectric metasurfaces and correlation selection is proposed in this study, aiming to address the limitations of traditional spectrometers, such as large volume and the difficulty in balancing resolution and miniaturization. By designing an all-dielectric metasurface structure composed of composite circular pillars, rectangular pillars, cross-shaped pillars, and annular nanoscale pillars, and combining a greedy algorithm to screen low-correlation transmission spectra, a filter measurement matrix with a low Pearson correlation coefficient (average absolute value of 0.2104) was constructed. Non-negative least squares (NNLS) and second-order difference regularization algorithms were used for spectral reconstruction. Experimental results show that within the wavelength range of 3–5 μm, this method achieves high-precision reconstruction of single narrowband spectra (full width at half maximum of 15 nm) and biomal spectra, with a spectral resolution of 25 nm. The root-mean-square error (RMSE) for the reconstruction of 6 sets of broadband spectra is 5.407 × 10−3. This scheme combines compactness and high-resolution characteristics, providing a new method for miniaturized mid-wave infrared spectral analysis and portable mid-wave infrared spectral detection.
期刊介绍:
Optics Communications invites original and timely contributions containing new results in various fields of optics and photonics. The journal considers theoretical and experimental research in areas ranging from the fundamental properties of light to technological applications. Topics covered include classical and quantum optics, optical physics and light-matter interactions, lasers, imaging, guided-wave optics and optical information processing. Manuscripts should offer clear evidence of novelty and significance. Papers concentrating on mathematical and computational issues, with limited connection to optics, are not suitable for publication in the Journal. Similarly, small technical advances, or papers concerned only with engineering applications or issues of materials science fall outside the journal scope.