Adaptive etalon suppression technique for long-term stability improvement in high index contrast waveguide-based laser absorption spectrometers

E. J. Zhang, L. Tombez, C. C. Teng, Gerard Wysocki, W. M.J. Green

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The authors present an adaptive algorithm based on a non-linear regression model for mitigating time-varying etalon drifts in line-scanned optical absorption spectrometers. By dynamically varying the etalon spectral background using physically realistic degrees of freedom, the authors’ dynamic etalon fitting-routine (DEF-R) significantly increases the spectral baseline recalibration interval as compared to conventional fringe subtraction models. They provide an empirical demonstration of the efficacy of DEF-R using an on-chip 10 cm silicon waveguide for near-infrared methane absorption spectroscopy at 6057 cm−1, which suffers significant etalon spectral noise due to reflections and multi-path interference from stochastic line-edge roughness imperfections. They demonstrate the corresponding improvement in both spectral clean-up and long-term stability via Allan-variance analysis. For the sensor presented here, application of DEF-R enables Gaussian-noise limited performance for more than 102 s and provides almost an order-of-magnitude improvement in stability time with respect to conventional baseline subtraction. Although DEF-R is applied here to an on-chip sensor embodiment, they envision their technique to be applicable to any absorption sensor limited by time-varying etalon drifts.

Original languageEnglish (US)
Pages (from-to)851-853
Number of pages3
JournalElectronics Letters
Volume55
Issue number15
DOIs
StatePublished - Jul 25 2019

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Adaptive etalon suppression technique for long-term stability improvement in high index contrast waveguide-based laser absorption spectrometers'. Together they form a unique fingerprint.

Cite this