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Optimizing Data Reduction Procedures in Spatial Heterodyne Raman Spectroscopy with Applications to Planetary Surface
Miles Jacob Egan1, S Michael Angel2, Shiv K Sharma1
11 Hawaii Institute of Geophysics and Planetology, University of Hawaii at Mānoa, USA.
A new intensity calibration method for spatial heterodyne Raman spectrometers (SHRS) models shot noise to produce white noise spectra. This technique calibrates the intensity axis to the signal-to-noise ratio for planetary science applications.
Area of Science:
- Spectroscopy
- Interferometry
- Planetary Science
Background:
- Spatial heterodyne Raman spectrometer (SHRS) is a variant of the Michelson interferometer.
- SHRS uses diffraction gratings to produce crossed wavefronts, which are converted to Raman spectra via Fourier transform.
Purpose of the Study:
- To introduce a novel intensity calibration technique for SHRS.
- To improve the quality and interpretability of Raman spectra obtained from SHRS.
Main Methods:
- Modeling the shot noise produced by the SHRS.
- Converting real noise into idealized white noise.
- Normalizing the noise mean to one for intensity axis calibration.
Main Results:
- The new technique produces Raman spectra with white noise.
- The intensity axis of the calibrated spectra is equivalent to the signal-to-noise ratio.
- Successful application to planetary science materials (minerals, inorganic salts) at a distance of 5m.
Conclusions:
- The described data reduction technique provides accurate intensity calibration for SHRS.
- This method enhances the utility of SHRS for quantitative analysis in planetary science.
- The approach offers a robust way to achieve signal-to-noise ratio directly from spectral intensity.
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