Combined micro X-ray fluorescence and micro computed tomography for the study of extraterrestrial volcanic rocks. The case of North West Africa (NWA) 8657: A shergottite martian meteorite.

The combined potentiality of benchtop micro X-ray fluorescence spectroscopy (µ-XRF) and micro computed tomography (µ-CT) has been applied to describe microstructures, type and distribution of mineralogical phases as well as geological constraints on the history of the North West Africa (NWA) 8657 shergottite Martian meteorite. The 3D rendering of the sample was used to compute its vesiculation, infer the presence of cracks and reveal different shapes in its crystal habits including subhedral pyroxene phases and rounded sulphide and/or sulphates minerals. Phase discrimination was achieved by comparing chemical information about element distribution with mineral classes segmented as a function of their relative density. In particular, the relationships between the plagioclase/maskelynite phase and other minerals such as Ca-phosphates, the chemical zoning of Ca-pyroxenes and maskelynite and the presence of S-bearing phases in the form of K-sulphates and Fe-sulphides were revealed, which allowed reconstructing satisfactorily meteorite history. The successful performance of the combined approach used in this work shows promising for further application to other types of meteorites.

Macro-classification of meteorites by portable energy dispersive X-ray fluorescence spectroscopy (pED-XRF), principal component analysis (PCA) and machine learning algorithms.

The research on meteorites from hot and cold deserts is gaining advantages from the recent improvements of portable technologies such as X-ray fluorescence spectroscopy (XRF). The main advantages of portable instruments include the fast recognition of meteorites through their classification in macro-groups and discrimination from materials such as industrial slags, desert varnish covered rocks and iron oxides, named "meteor-wrongs". In this study, 18 meteorite samples of different nature and origin were discriminated and preliminarily classified into characteristic macro-groups: iron meteorites, stony meteorites and meteor-wrongs, combining a portable energy dispersive XRF instrument (pED-XRF), principal component analysis (PCA) and some machine learning algorithms applied to the XRF spectra. The results showed that 100% accuracy in sample classification was obtained by applying the cubic support vector machine (CSVM), fine kernel nearest neighbor (FKNN), subspace discriminant-ensemble classifiers (SD-EC) and subspace discriminant KNN-EC (SKNN-EC) algorithms on standardized spectra.

The spectral imaging facility: Setup characterization.

The SPectral IMager (SPIM) facility is a laboratory visible infrared spectrometer developed to support space borne observations of rocky bodies of the solar system. Currently, this laboratory setup is used to support the DAWN mission, which is in its journey towards the asteroid 1-Ceres, and to support the 2018 Exo-Mars mission in the spectral investigation of the Martian subsurface. The main part of this setup is an imaging spectrometer that is a spare of the DAWN visible infrared spectrometer. The spectrometer has been assembled and calibrated at Selex ES and then installed in the facility developed at the INAF-IAPS laboratory in Rome. The goal of SPIM is to collect data to build spectral libraries for the interpretation of the space borne and in situ hyperspectral measurements of planetary materials. Given its very high spatial resolution combined with the imaging capability, this instrument can also help in the detailed study of minerals and rocks. In this paper, the instrument setup is first described, and then a series of test measurements, aimed to the characterization of the main subsystems, are reported. In particular, laboratory tests have been performed concerning (i) the radiation sources, (ii) the reference targets, and (iii) linearity of detector response; the instrumental imaging artifacts have also been investigated.