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Detector Nonlinearity Correction Scheme for the LPMA Balloonborne Fourier Transform Spectrometer
Applied Optics
|February 21, 2008
Summary
A new processing scheme corrects nonlinearity in the Limb Profile Monitor of the Atmosphere (LPMA) instrument. This method enhances stratospheric absorption spectra recorded during solar occultation, improving atmospheric data quality.
Area of Science:
- Atmospheric science
- Spectroscopy
- Instrument calibration
Background:
- The Limb Profile Monitor of the Atmosphere (LPMA) is a Fourier transform spectrometer used for stratospheric and tropospheric absorption spectra analysis.
- The instrument utilizes photoconductive HgCdTe and photovoltaic InSb detectors, both cooled with liquid nitrogen.
- High photon fluxes during solar occultation cause nonlinearity in the HgCdTe detector's response, affecting spectral accuracy.
Purpose of the Study:
- To develop and present a processing scheme to correct for HgCdTe detector nonlinearity in LPMA spectra.
- To minimize out-of-optical-band spectral artifacts introduced by detector nonlinearity.
- To ensure the accuracy of stratospheric absorption spectra recorded during solar occultation.
Main Methods:
- Designed a data processing scheme focused on minimizing spectral artifacts outside the desired optical band.
- Applied the developed scheme to correct nonlinear responses in HgCdTe detector data.
- Validated the method using spectra obtained under various balloon flight conditions.
Main Results:
- The processing scheme effectively corrects for HgCdTe detector nonlinearity in LPMA spectra.
- Minimized spectral artifacts were observed, leading to more accurate absorption spectra.
- The method demonstrated reliable performance across different flight conditions and with multiple HgCdTe detectors.
Conclusions:
- The developed processing scheme successfully addresses HgCdTe detector nonlinearity in LPMA measurements.
- This advancement improves the quality and reliability of stratospheric and tropospheric absorption spectra.
- The corrected data are valuable for atmospheric composition studies and climate research.

