Spectroscopic study of olivine-bearing rocks and its relevance to the ExoMars rover mission
Marco Veneranda, Jose Antonio Manrique, Guillermo Lopez-Reyes, Jesus, Medina, Imanol Torre-Fdez, Kepa Castro, Juan Manuel Madariaga, Cateline Lanz,, Francois Poulet, Agata M. Krzesinska, Helge Hellevang, Stephanie C. Werner,, Fernando Rull

TL;DR
This study evaluates spectroscopic techniques for analyzing Martian olivine-bearing rocks, demonstrating the potential of the ExoMars RLS instrument to identify mineral phases and elemental composition on Mars.
Contribution
It compares laboratory and simulated ExoMars spectroscopic data, highlighting the effectiveness of Raman and NIR techniques for mineral detection and composition analysis.
Findings
Raman and NIR techniques complement each other for mineral analysis.
ExoMars RLS can detect major and minor mineral phases.
RLS effectively estimates Fe-Mg content in olivine.
Abstract
We present the compositional analysis of three terrestrial analogues of Martian olivine-bearing rocks derived from both laboratory and flight-derived analytical instruments. In the first step, state-of-the-art spectroscopic (XRF, NIR and Raman) and diffractometric (XRD) laboratory systems were complementary used. Besides providing a detailed mineralogical and geochemical characterization of the samples, results comparison shed light on the advantages ensured by the combined use of Raman and NIR techniques, being these the spectroscopic instruments that will soon deploy (2021) on Mars as part of the ExoMars/ESA rover payload. In order to extrapolate valuable indicators of the mineralogical data that could derive from the ExoMars/Raman Laser Spectrometer (RLS), laboratory results were then compared with the molecular data gathered through the RLS ExoMars Simulator. Beside correctly…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
