Sensitive infrared detection via optomechanical spring sensing

We propose to achieve sensitive, low-noise, and fast detection of incoherent thermal photons using a novel optomechanical spring sensing principle. In this unique active sensing approach, the coherent optomechanical oscillation (OMO) greatly amplifies the long-wavelength-infrared (LWIR)-induced eigenspectrum modification, leading to a noise-equivalent power (NEP) of &lt; 0.07pW/Hz<sup>1/2</sup>. Meanwhile, our detection signal bandwidth is only determined by the frequency-demodulation circuit, which can reach &gt; 100kHz. Both performance parameters are revolutionary and significantly above the current state of the art. Our success, based on mature photonic integrated circuit platforms, can easily scale up to multipixel arrays.

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Published
2024-10-02
DOI
https://doi.org/10.1117/12.3024918
Primary Topic
Infrared Target Detection Methodologies
Type
article
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article

Sensitive infrared detection via optomechanical spring sensing

Chen Qian, Bo Zhen, He Li, Qiang Lin
Infrared Target Detection Methodologies
article

Sensitive infrared detection via optomechanical spring sensing

Chen Qian, Bo Zhen, He Li, Qiang Lin
article en

Abstract

We propose to achieve sensitive, low-noise, and fast detection of incoherent thermal photons using a novel optomechanical spring sensing principle. In this unique active sensing approach, the coherent optomechanical oscillation (OMO) greatly amplifies the long-wavelength-infrared (LWIR)-induced eigenspectrum modification, leading to a noise-equivalent power (NEP) of &lt; 0.07pW/Hz<sup>1/2</sup>. Meanwhile, our detection signal bandwidth is only determined by the frequency-demodulation circuit, which can reach &gt; 100kHz. Both performance parameters are revolutionary and significantly above the current state of the art. Our success, based on mature photonic integrated circuit platforms, can easily scale up to multipixel arrays.

California University of Pennsylvania (US), University of Rochester (US)
Openalex Percentile: Top 74%
Infrared Target Detection Methodologies
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