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Physics-based multibranch hybrid deep learning-assisted resonance method for rapid and high-precision measurement of optical resonator loss.

Created on 31 Oct 2026

Authors

Hao Cui, Dakun Yu, Xiang Liu, Jing Wang, Tianming Wang, Sheng Zhou, Bincheng Li

Published in

Optics letters. Volume 51. Issue 21. Pages 6062-6065. Nov 01, 2026. Epub Oct 08, 2026.

Abstract

Conventional resonator-loss measurement methods face significant challenges in characterizing high-speed scanned, low-loss optical cavities, limiting their application in cavity alignment and optimization of high-performance ring laser gyroscopes (RLGs). A physics-guided multibranch hybrid algorithm-assisted Resonance Method is proposed for rapid and accurate loss measurement in optical resonators, while maintaining high consistency. For a ring cavity with a reference loss of 150.5 ppm, the deviation of the frequency-averaged prediction from the reference value remains below 2 ppm over modulation frequencies from 5 to 20 Hz, with an overall mean absolute error (MAE) of 3.29 ppm over all held-out test traces, and the MAE remains below 6.4 ppm even at modulation frequencies entirely excluded from fine-tuning. By analyzing the transmitted resonance signal during laser frequency scanning, the proposed algorithm enables real-time observation of the resonance response with a single-trace inference latency of 6.2 ms and accurate retrieval of cavity loss without fitting the resonant signal. This approach provides an efficient and practical solution for resonator-loss measurement and cavity alignment in high-performance RLGs, showing great potential for applications requiring rapid, high-precision optical resonator characterization.

PMID:
42962123
Bibliographic data and abstract were imported from PubMed on 31 Oct 2026.

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