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Correction of interferogram data acquired using a focal plane FT-IR spectrometer system
Applied Optics
|May 2, 2018
Summary
This study addresses noise in Fourier transform infrared (FT-IR) spectrometer data by analyzing ordinate drifting and abscissa shifting. Correction algorithms are introduced to improve interferogram data accuracy for better noise equivalent spectral radiation calculations.
Area of Science:
- Spectroscopy
- Infrared Technology
- Optical Engineering
Background:
- Fourier transform infrared (FT-IR) spectrometers are crucial for spectral analysis.
- Accurate interferogram data is essential for reliable noise equivalent spectral radiation calculations.
- Existing FT-IR systems can suffer from ordinate drifting and abscissa shifting, impacting data quality.
Purpose of the Study:
- To introduce the composition of a focal plane FT-IR spectrometer acquisition system.
- To analyze the causes of ordinate drifting and abscissa shifting in FT-IR interferogram data.
- To develop and introduce correction algorithms for these data errors.
Main Methods:
- Processing interferogram data from a focal plane FT-IR spectrometer.
- Quantitative mathematical analysis of ordinate drifting and abscissa shifting effects on system noise.
- Development and application of novel correction algorithms.
Main Results:
- Identified and analyzed the causes of ordinate drifting and abscissa shifting.
- Quantitatively assessed the impact of these errors on FT-IR system noise.
- Demonstrated the effectiveness of the developed correction algorithms in rectifying interferogram data errors.
Conclusions:
- Ordinate drifting and abscissa shifting are significant sources of noise in FT-IR systems.
- The proposed correction algorithms effectively mitigate these errors.
- The study provides a method to improve the accuracy of noise equivalent spectral radiation calculations using FT-IR data.
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