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Multi-mode interference waveguide spectrometer with optimized performance
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DOI：10.1364/OE.541996.png)
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摘要
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Chip-scale integrated imaging spectrometers show significant potential for highperformance spectral analysis due to advancements in fabrication and computational techniques. Many practical applications, such as astronomy and molecular spectroscopy, require analyzing light at sub-nanowatt levels, where inherent enhancement in spectrometer signals can reduce the need for expensive photodetectors or long integration time. Previously, we introduced an integrated spectrometer scheme using machine learning to reconstruct spectra from imaging the wavelength-dependent patterns scattered out of a multimode interference (MMI) waveguide. In this work, we report a signal enhancement of 13.6 dB and an increase of device sensitivity and dynamic range by 15 dB by selective roughening of the waveguide surface via plasma etching. By imaging interference patterns at various points along the waveguide, we determine that the best spectrometer performance is achieved by imaging MMI sections with highest pattern variation. We report accurate spectral measurements using convolutional neural network-based spectral reconstruction with 1 nm resolution at input powers as low as 300 pW for the present experimental configuration, and a scattering coefficient of 1.109 cm-1 from the etched section. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Keyword:
RAMAN-SPECTROSCOPY
ATOMIC SPECTROSCOPY
HIGH-RESOLUTION
NOISE
FIBER
IR
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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