Sensitive infrared detection via optomechanical spring sensing

Chen Qian; Li He; Qiang Lin; Bo Zhen

doi:10.1117/12.3022669

7 June 2024 Sensitive infrared detection via optomechanical spring sensing

Chen Qian, Li He, Qiang Lin, Bo Zhen

Author Affiliations +

Proceedings Volume 13030, Image Sensing Technologies: Materials, Devices, Systems, and Applications XI; 130300B (2024) https://doi.org/10.1117/12.3022669
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

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 < 0.03pW/Hz^1/2. Meanwhile, our detection signal bandwidth is only determined by the frequency-demodulation circuit, which can reach > 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.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chen Qian, Li He, Qiang Lin, and Bo Zhen "Sensitive infrared detection via optomechanical spring sensing", Proc. SPIE 13030, Image Sensing Technologies: Materials, Devices, Systems, and Applications XI, 130300B (7 June 2024); https://doi.org/10.1117/12.3022669

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE