Implementation and uncertainty evaluation of spectral stray light correction by Zong's method
Applied Optics
|December 25, 2019
Summary
This study details spectral stray light correction methods and uncertainty evaluation. Key uncertainties arise from spectrometer dark signal drifts and spectral region selection, with a simplified estimation method proposed.
Area of Science:
- Spectroscopy
- Optical Engineering
- Metrology
Background:
- Spectral stray light can significantly impact spectroscopic measurements.
- Accurate stray light correction is crucial for reliable data analysis.
- Existing methods require robust uncertainty evaluation.
Purpose of the Study:
- To provide a guide for implementing spectral stray light corrections.
- To evaluate uncertainties associated with stray light correction methods.
- To present a simplified approach for uncertainty estimation.
Main Methods:
- Implementation of spectral stray light correction based on Zong et al. (2006).
- Uncertainty analysis using the Monte Carlo approach (JCGM, 2008).
- Development of a simplified method for estimating uncertainty contributions.
Main Results:
- Spectrometer dark signal drifts are a significant source of uncertainty.
- The selection of the in-band region impacts stray light distribution functions and uncertainty.
- Stray light correction can introduce wavelength-dependent correlations.
Conclusions:
- The proposed guide enhances the reliability of spectral stray light corrections.
- Simplified uncertainty estimation offers a practical alternative to complex Monte Carlo simulations.
- Understanding uncertainty sources is key to improving spectroscopic data accuracy.
