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<dc:title>ExoMars Raman Laser Spectrometer: A Tool for the Potential Recognition of Wet-Target Craters on Mars</dc:title>
<dc:creator>Veneranda ., Marco</dc:creator>
<dc:creator>López Reyes, Guillermo Eduardo</dc:creator>
<dc:creator>Manrique Martínez, José Antonio</dc:creator>
<dc:creator>Medina García, Jesús</dc:creator>
<dc:creator>Ruiz Galende, Patricia</dc:creator>
<dc:creator>Torre Fernández, Imanol</dc:creator>
<dc:creator>Castro, Kepa</dc:creator>
<dc:creator>Lantz, Cateline</dc:creator>
<dc:creator>Poulet, Francois</dc:creator>
<dc:creator>Dypvik, Henning</dc:creator>
<dc:creator>Werner, Stephanie C.</dc:creator>
<dc:creator>Rull Pérez, Fernando</dc:creator>
<dc:description>In the present work, NIR, LIBS, Raman and XRD techniques have been complementarily used to &#xd;
carry out a comprehensive characterization of a terrestrial analogue selected from the &#xd;
Chesapeake Bay Impact Structure (CBIS). The obtained data clearly highlight the key role of&#xd;
Raman spectroscopy in the detection of minor and trace compounds, through which inferences &#xd;
about geological processes occurred in the CBIS can be extrapolated. Beside the use of &#xd;
commercial systems, further Raman analyses were performed by the Raman Laser Spectrometer &#xd;
(RLS) ExoMars Simulator. This instrument representsthe most reliable tool to effectively predict &#xd;
the scientific capabilities of the ExoMars/Raman system that will be deployed on Mars in 2021.&#xd;
By emulating the analytical procedures and operational restrictions established by the ExoMars&#xd;
mission rover design, it was proved that the RLS ExoMars Simulator is able to detect the &#xd;
amorphization of quartz, which constitutes an analytical clue of the impact origin of craters. On &#xd;
the other hand, the detection of barite and siderite, compounds crystallizing under &#xd;
hydrothermal conditions, helps to indirectly confirm the presence of water in impact targets. &#xd;
Furthermore, the RLS ExoMars Simulator capability of performing smart molecular mappings&#xd;
was also evaluated. According to the obtained results, the algorithms developed for its &#xd;
operation provide a great analytical advantage over most of the automatic analysis systems &#xd;
employed by commercial Raman instruments, encouraging its application for many additional &#xd;
scientific and commercial purposes.</dc:description>
<dc:date>2021-04-19T22:59:05Z</dc:date>
<dc:date>2021-04-19T22:59:05Z</dc:date>
<dc:date>2020</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Astrobiology, 2020, Vol. 20, n. 3, p. 349-363</dc:identifier>
<dc:identifier>1531-1074</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/46258</dc:identifier>
<dc:identifier>10.1089/ast.2019.2095</dc:identifier>
<dc:identifier>349</dc:identifier>
<dc:identifier>3</dc:identifier>
<dc:identifier>363</dc:identifier>
<dc:identifier>Astrobiology</dc:identifier>
<dc:identifier>20</dc:identifier>
<dc:identifier>1557-8070</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Mary Ann Liebert, Inc.</dc:publisher>
<dc:peerreviewed>SI</dc:peerreviewed>
</ow:Publication>
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