Analysis of the scientific capabilities of the ExoMars Raman Laser Spectrometer instrument
Lopez-Reyes, Guillermo; Rull, Fernando; Venegas, Gloria; Westall, Frances; Foucher, Frédéric; Bost, Nicolas; Sanz, Aurelio; Catalá-Espí, Alejandro; Vegas, Alberto; Hermosilla, Isaac; Sansano, Antonio; Medina, Jesus
European Journal of Mineralogy Volume 25 Number 5 (2014), p. 721 - 733
published: Jan 3, 2014
ArtNo. ESP147052505003, Price: 29.00 €
The Raman Laser Spectrometer (RLS) is part of the payload of the 2018 ExoMars rover. The Sample Preparation and Distribution System (SPDS) of the rover will crush samples acquired from down to two meters depth under the Martian surface, and provide them to the RLS instrument in the form of flattened powdered samples. The RLS instrument will acquire a minimum of 20 points on the flattened surface of the samples. To be able to obtain the maximum scientific return from the instrument once on Mars, a simulator of the SPDS system has been built to perform a series of experiments in a representative scenario. The crushing process implies the loss of rock structure and texture and, hence, the geological context of the samples. However, qualitative analysis with the RLS simulator on powdered natural samples and rocks showed that the RLS is capable of detecting carbonaceous material occurring in trace amounts in one of the rock samples (a silicified volcanic sand), more easily than with the same analysis on bulk. Furthermore, it is shown that minor phases in carbonate cements that cannot be detected by Raman in the bulk sample can be detected in the powder, thus allowing the identification of all the carbonate phases present in the cement crust. In order to quantify the detection threshold of the instrument, further analysis on controlled samples were performed. The results with the RLS SPDS simulator showed that the instrument can reach detection thresholds down to 1 % on powdered samples. Furthermore, analysis of controlled mixtures showed that performing a very simple intensity-based statistical analysis of the spectra can provide semi-quantification of the abundance of the mineral species with quite linear calibration curves.