AI Article Synopsis

  • Silicon photonics allows for the creation of small, affordable spectrometers using a tunable interferometer, with MEMS reconfiguration being an efficient and low-power tuning method.* -
  • However, MEMS devices struggle with noise issues that can lower their spectral resolution, making improvements necessary.* -
  • This research introduces a new spectrometer design that combines a low-loss waveguide coupler and a convolutional autoencoder for denoising, achieving impressive reconstruction resolution even in noisy environments, making it a promising solution for precise spectral analysis.*

Article Abstract

Silicon photonics enables the construction of chip-scale spectrometers, in which those using a single tunable interferometer provide a simple and cost-effective solution. Among various tuning mechanisms, electrostatic MEMS reconfiguration stands out as an ideal candidate, given its high tuning efficiency and ultra-low power consumption. Nonetheless, MEMS devices face significant noise challenges arising from their susceptible minuscule components, adversely impacting spectral resolution. Here, we propose a distinct paradigm of spectrometers through synergizing an easily-fabricated MEMS-reconfigurable low-loss waveguide coupler on a silicon photonic chip and a convolutional autoencoder denoising (CAED) mechanism. The spectrometer offers a 300 nm bandwidth and a reconstruction resolution of 0.3 nm in a noise-free condition. In a noisy environment with a signal-to-noise ratio as low as 30 dB, the reconstruction resolution of the interferograms processed by the CAED exhibits an enhancement from 1.2 to 0.4 nm, approaching the noise-free value. Our technology is envisaged to provide a powerful and cost-effective solution for applications requiring accurate, broadband, and energy-efficient spectral analysis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599558PMC
http://dx.doi.org/10.1038/s41467-024-54704-1DOI Listing

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