scholarly journals ExoMars Raman Laser Spectrometer (RLS): development of chemometric tools to classify ultramafic igneous rocks on Mars

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marco Veneranda ◽  
Guillermo Lopez-Reyes ◽  
Jose Antonio Manrique-Martinez ◽  
Aurelio Sanz-Arranz ◽  
Emmanuel Lalla ◽  
...  

Abstract This work aims to evaluate whether the multi-point analysis the ExoMars Raman Laser Spectrometer (RLS) will perform on powdered samples could serve to classify ultramafic rocks on Mars. To do so, the RLS ExoMars Simulator was used to study terrestrial analogues of Martian peridotites and pyroxenites by applying the operational constraints of the Raman spectrometer onboard the Rosalind Franklin rover. Besides qualitative analysis, RLS-dedicated calibration curves have been built to estimate the relative content of olivine and pyroxenes in the samples. These semi-quantitative results, combined with a rough estimate of the concentration ratio between clino- and ortho-pyroxene mineral phases, were used to classify the terrestrial analogues. XRD data were finally employed as reference to validate Raman results. As this preliminary work suggests, ultramafic rocks on Mars could be effectively classified through the chemometric analysis of RLS data sets. After optimization, the proposed chemometric tools could be applied to the study of the volcanic geological areas detected at the ExoMars landing site (Oxia Planum), whose mineralogical composition and geological evolution have not been fully understood.

2020 ◽  
Author(s):  
Marco Veneranda ◽  
Guillermo Lopez Reyes ◽  
Elena Pascual Sanchez ◽  
Jose Antonio Manrique-Martinez ◽  
Aurelio Sanz-Arranz ◽  
...  

<p>As part of the ESA ExoMars rover payload, the Raman Laser Spectrometer (RLS) is scheduled to deploy on Mars in 2021. Together with MicrOmega (NIR) and MOMA (GC-MS), the instrument will analyze Martian subsoil samples to determine their mineralogical composition and investigate the potential presence of biomarkers. Beside the challenges associated with the development of the first Raman spectrometer to be validated for planetary exploration (together with Mars2020/ Sherloc and Supercam systems), to optimize the scientific outcome of RLS spectra gathered on Mars has a crucial importance in the fulfillment of the mission aims. Thus, the RLS team is developing tailored chemometric tools that, taking into account technical specifications and the operational mode of the RLS system, could be used to semi-quantify the main phases composing Martian samples.</p><p>Considering that 1) the serpentinization of olivine-bearing rocks on Earth plays a key role in the proliferation of microorganisms and in the preservation of biomarkers, and 2) remote sensing systems (e.g. CRISM) detected vast serpentine-bearing deposits on Mars, the present work seek to provide the chemometric tools necessary to correctly define the serpentinization degree of Martian rock samples through the interpretation of RLS data.</p><p>To do so, olivine and serpentine certified materials were mixed at different concentration ratios and 39 spot of analysis por sample were analyzed by means of the RLS ExoMars Simulator. Data sets were then analyzed using uni-variate (intensity ratio between olivine and serpentine main peaks) and multi-variate (a combination of principal component analysis and artificial neural networks PCA-ANN) methods.</p><p>The two uni-variate and multi-variate semi-quantification models were finally applied to the study of serpentinized rocks sampled from the Leka Ophiolite Complex (LOC), being those part of the Planetary Terrestrial Analogue Library (PTAL) collection. RLS-based semi-quantification results were finally compared to those obtained from the use of a state-of-the-art laboratory X-ray diffractometer (XRD).</p><p>Our study suggest that the uni-variate method provide excellent results when the analyzed rocks are mainly composed of olivine and serpentine. However, the estimation reliability decreases when the mineralogical heterogeneity of the sample increases (Raman features of additional mineral phase may overlap the selected olivine and serpentine peaks). In these cases, the multi-variate method based on the combination of PCA and ANN helps to more accurate estimate the serpentinization degree of the terrestrial analogs.</p><p>In conclusion, the preliminary results summarized in this work indicates that the study of terrestrial analogs is of crucial importance to test and validate RLS-dedicated semi-quantification models. In a broader perspective, it also highlights the importance of developing multiple chemometric tools, since the effectiveness of each of them varies according to mineralogical complexity of the sample under study.</p>


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marco Veneranda ◽  
Guillermo Lopez-Reyes ◽  
Jesus Saiz ◽  
Jose Antonio Manrique-Martinez ◽  
Aurelio Sanz-Arranz ◽  
...  

AbstractIn this work, the analytical research performed by the Raman Laser Spectrometer (RLS) team during the ExoFiT trial is presented. During this test, an emulator of the Rosalind Franklin rover was remotely operated at the Atacama Desert in a Mars-like sequence of scientific operations that ended with the collection and the analysis of two drilled cores. The in-situ Raman characterization of the samples was performed through a portable technology demonstrator of RLS (RAD1 system). The results were later complemented in the laboratory using a bench top RLS operation simulator and a X-Ray diffractometer (XRD). By simulating the operational and analytical constraints of the ExoMars mission, the two RLS representative instruments effectively disclosed the mineralogical composition of the drilled cores (k-feldspar, plagioclase, quartz, muscovite and rutile as main components), reaching the detection of minor phases (e.g., additional phyllosilicate and calcite) whose concentration was below the detection limit of XRD. Furthermore, Raman systems detected many organic functional groups (–C≡N, –NH2 and C–(NO2)), suggesting the presence of nitrogen-fixing microorganisms in the samples. The Raman detection of organic material in the subsurface of a Martian analogue site presenting representative environmental conditions (high UV radiation, extreme aridity), supports the idea that the RLS could play a key role in the fulfilment of the ExoMars main mission objective: to search for signs of life on Mars.


2021 ◽  
Author(s):  
Gaia de Palma ◽  
Anouk Ehreiser ◽  
Patrycja Lakomiec ◽  
Leander Schlarmann

<p>The landing site of the ExoMars 2022 mission is Oxia Planum, a basin rich in hydrated minerals located between Mawrth and Ares Vallis. Its clay-rich deposits of Noachian age have been covered by volcanic outflows, that have only recently started to erode away. This makes it more likely that biochemical markers have been preserved as they were shielded from long-term cosmic ray exposure.</p> <p>Martian analogue sites are valuable testing-grounds for both instrumentation and scientific analysis. During the EuroMoonMars Etna campaign, mockups of ExoMars instruments were used to perform scientific analysis on a Martian Analogue site on Mt. Etna.</p> <p>Satellite images are used to identify sites of interest on the slopes of Mt. Etna, mimicking the use of images and data from the MRO CTX, HiRISE, MEX HRSC and the CRISM spectrometer, to characterise the surface of Oxia Planum during the ExoMars Mission.</p> <p>On the ground, Panoramic imaging and wide-angle photographs are used to select sites for close-up study with a mock-up of the Pancam instrument. Pancam is a set of two wide angle cameras for multi-spectral stereoscopic panoramic imaging, and a high resolution camera for colour imaging.</p> <p>On selected sites, geological and biogeochemical markers are identified and characterized using Raman spectroscopy and optical microscopy, mimicking ExoMars’ onboard instruments RLS (Raman Laser spectrometer), and CLUPI (Close-up imager).</p>


2021 ◽  
Vol 13 (3) ◽  
pp. 1522
Author(s):  
Raja Majid Ali Ujjan ◽  
Zeeshan Pervez ◽  
Keshav Dahal ◽  
Wajahat Ali Khan ◽  
Asad Masood Khattak ◽  
...  

In modern network infrastructure, Distributed Denial of Service (DDoS) attacks are considered as severe network security threats. For conventional network security tools it is extremely difficult to distinguish between the higher traffic volume of a DDoS attack and large number of legitimate users accessing a targeted network service or a resource. Although these attacks have been widely studied, there are few works which collect and analyse truly representative characteristics of DDoS traffic. The current research mostly focuses on DDoS detection and mitigation with predefined DDoS data-sets which are often hard to generalise for various network services and legitimate users’ traffic patterns. In order to deal with considerably large DDoS traffic flow in a Software Defined Networking (SDN), in this work we proposed a fast and an effective entropy-based DDoS detection. We deployed generalised entropy calculation by combining Shannon and Renyi entropy to identify distributed features of DDoS traffic—it also helped SDN controller to effectively deal with heavy malicious traffic. To lower down the network traffic overhead, we collected data-plane traffic with signature-based Snort detection. We then analysed the collected traffic for entropy-based features to improve the detection accuracy of deep learning models: Stacked Auto Encoder (SAE) and Convolutional Neural Network (CNN). This work also investigated the trade-off between SAE and CNN classifiers by using accuracy and false-positive results. Quantitative results demonstrated SAE achieved relatively higher detection accuracy of 94% with only 6% of false-positive alerts, whereas the CNN classifier achieved an average accuracy of 93%.


2012 ◽  
Vol 58 (No. 9) ◽  
pp. 410-424
Author(s):  
K. Rejšek ◽  
M. Mišič ◽  
F. Eichler

Relic karstic soils in nine localities in the Dinaric Karst in Slovenia, five localities in the Moravian Karst and four localities in the Bohemian Karst were sampled for soil scientific, mineralogical and petrological studies focused on the presentation of descriptive aspects of particular iron compounds. The macroscopy and microscopy of Fe<sup>2+</sup> and Fe<sup>3+ </sup>compounds were determined and an interpretation of these data was performed aimed at describing sources and their palaeotransports. The presented results show that the studied karstic soils have a heterogeneous petrographical and mineralogical composition when, depending on circumstances, hematite does not dominate and goethite prevails over it or it is an opposite. Results from the chosen methods reinforce sources of the new materials as the crucial factor for the studied karstic soils. &nbsp;


Author(s):  
Maria del Rosario Canchal ◽  
Jose Antonio Rodriguez Prieto ◽  
Amaia Santiago ◽  
Cecilia Gordillo ◽  
David Escribano ◽  
...  

2019 ◽  
Vol 51 (9) ◽  
pp. 1761-1770
Author(s):  
Gonzalo Ramos ◽  
Miguel Sanz‐Palomino ◽  
Andoni G. Moral ◽  
Carlos Pérez ◽  
Tomás Belenguer ◽  
...  

2020 ◽  
Author(s):  
Guillermo Lopez-Reyes ◽  
Marco Veneranda ◽  
Jose Antonio Manrique Martinez ◽  
Jesus Saiz Cano ◽  
Jesus Medina García ◽  
...  

&lt;p&gt;&lt;span&gt;The ESA/Roscosmos ExoMars mission to Mars is scheduled to be launched in 2020. Seeking to prepare the ExoMars operation team to manage the engineering and scientific challenges arising from the Rosalind Franklin rover soon operating at Oxia Planum, a rover prototype equipped with representative ExoMars navigation and analytical systems was recently used in two mission simulations (ExoFit trials)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The first field test was carried out in Tabernas (Spain), a desertic area characterized by the presence of clays, partially altered sedimentary rocks and efflorescence salts. The second ExoFit trial was performed in the Atacama Desert (Chile), in a sandy flat land displaying diorite-boulders, clays patches and evaporites.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The Raman Laser Simulator (RLS) team participated in both simulations: portable spectrometers were used to determine the mineralogical composition of subsoil samples collected by the rover-drill and to investigate the possible presence of biomarkers. In-situ analysis were carried out by means of the RAD 1 system (Raman Demonstrator), which is a portable spectrometer that follows the same geometrical concept and spectral characteristics of the RLS flight model (FM).&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;In the case of Tabernas trial, additional analysis were performed using the RLS qualification model (EQM2) which at the moment was the most reliable tool to understand the scientific outcome that could derive from the RLS operating on Mars.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Prior to analysis, geological samples were crushed and sieved to replicate the granulometry of the powdered material produced by the ExoMars crusher. After flattening, from 8 to 10 spots were analyzed and Raman data and interpreted.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;From each site, two cores were drilled and analyzed. On one side, the main mineralogical phases detected in the first Atacama core are quartz and calcium carbonate. In addition to those, the mineralogy of the second core also includes hematite and calcium sulphate.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;On the other side, RAD 1 spectra gathered from Almeria core-samples confirmed the presence of quartz as main mineralogical phase. However, peaks of medium intensity at 146 and 1086 cm&lt;sup&gt;-1&lt;/sup&gt; were also observed, confirming the detection of rutile and calcium carbonate respectively. The same samples were further characterized by means of the RLS-EQM2 system: beside confirming the detection of the abovementioned mineral phases, additional Raman biomarkers-related peaks were also found.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Even though deeper Raman analysis of ExoFit samples need to be performed, the preliminary results gathered in-situ suggests that Raman spectroscopy could play a kay role in the fulfillment of the ExoMars mission objectives.&lt;/span&gt;&lt;/p&gt;


2020 ◽  
Author(s):  
Jose Antonio Manrique-Martinez ◽  
Marco Veneranda ◽  
Guillermo Lopez-Reyes ◽  
Aurelio Sanz-Arranz ◽  
Jesus Saiz ◽  
...  

&lt;p&gt;Raman Spectroscopy is an analytical technique that will be deployed on Mars in the following years and could be part of other payloads for planetary exploration missions in the future. Its ability for identification of mineral phases and its interest in Mars has been deeply discussed in bibliography [1]. Perseverance rover, to be launched in 2020, and ExoMars rover, to be launched in 2022, will carry three Raman instruments, different in concept and capabilities. SHERLOC (mounted on Perseverance&amp;#8217;s arm) is a UV Raman instrument mainly focused in the direct detection of biomarkers, SuperCam (mounted on Perseverance&amp;#8217;s mast) is a standoff, multi-technique, instrument that performs Raman and LIBS at distances of several meters from the rover. Finally, RLS, mounted in Rosalind Franklin Rover, in the Pasteur analytical laboratory, is a continuous wave, 532 nm excitation source Raman instrument. While the first one is focused in detection limits of organics, RLS is intended to investigate mineralogy and possible biomarkers, while SuperCam, due to its standoff and time resolved design, is a different concept to que other two Raman instruments, as it is also capable of fusing data from different techniques.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;p&gt;Carbonates are minerals of great interest for astrobiology, and, as suggested by CRISM data, the landing site selected for the NASA/Mars 2020 rover mission (Jezero crater) presents a variety of Fe-Ca-Mg carbonate units [2]. For Oxia Planum, Rosalind Franklin&amp;#8217;s landing site, although no carbonates have been detected in that area by orbiter data, Earth analogues suggest that small amounts of carbonates might be found in the clay rich area. On Earth, top bench Raman spectrometers can be effectively used to discriminate carbonates and to determine the Mg/Fe concentration ratio of mineral species from dolomite (CaMg(CO&lt;sub&gt;3&lt;/sub&gt;)&lt;sub&gt;2&lt;/sub&gt;) - ankerite (CaFe(CO&lt;sub&gt;3&lt;/sub&gt;)&lt;sub&gt;2&lt;/sub&gt;) and magnesite (MgCO&lt;sub&gt;3&lt;/sub&gt;) - siderite (FeCO&lt;sub&gt;3&lt;/sub&gt;) solid solutions series [3]. The previously mentioned instruments might present limitations derived from the design constrains of space exploration. Resolution, far from ideal, and low intensity of the signal, are two of the main factors that could affect the possible calculations done with data from the three Raman instruments. SuperCam is a special case, as it is able to obtain data from several techniques from the same spot of the sample, and that might help to overcome those difficulties.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;p&gt;In this work a complete set of Ca-Mg-Fe carbonates is analysed by different Raman instruments, including automated contact instruments and combined standoff developments. The initial characterization of the samples is done with XRD, as gold standard. Then, a characterization of all those carbonates based only on Raman data sets was done, aiming to evaluate the impact of resolution in the classification power of Raman-based calculations. A detailed vibrational mode analysis was carried out for interpreting the structural modifications induced by cationic substitution. Here, after a detailed interpretation it was found that Raman active internal modes are less sensitive to the carbonate chemistry than the external modes (i.e. the 155cm-1 and 286cm-1 respectively).&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;p&gt;Same collection of carbonates is analysed using standoff Raman-LIBS combination. In this case we will evaluate how having the complementary information of the elemental composition improves the results obtained by standoff Raman spectroscopy [4], as LIBS is more sensitive to the possible changes in the cations in the samples. Using these data sets, a combination of univariate and multivariate calculations are done to evaluate their classification capacity. As commented before, LIBS can classify better these minerals thanks to its lower detection limit and a better functionality in standoff configuration. However, the effect from other phases, different from carbonates, might disturb the LIBS calculations, reason why having an assessment of all the phases in play by Raman spectroscopy is of great interest, supporting the idea of the power of technique combination.&lt;/p&gt; &lt;p&gt;1 &amp;#160;&amp;#160; F. Rull, S. Maurice, I. Hutchinson et al. Astrobiology, Vol. 17 (2017), No. 6-7&lt;/p&gt; &lt;p&gt;2&amp;#160;&amp;#160;&amp;#160; B.H.N. Horgan, R.B. Anderson, G. Dromart, E.S. Amador, M.S. Rice Icarus, &lt;strong&gt;339 &lt;/strong&gt;(2020) 113526.&lt;/p&gt; &lt;p&gt;3&amp;#160;&amp;#160;&amp;#160; P. Kristova, L. Hopkinson, K. Rutt, H. Hunter, G. Cressey, American Mineralogist, &lt;strong&gt;98&lt;/strong&gt; (2013) 401-409.&lt;/p&gt; &lt;p&gt;4&amp;#160;&amp;#160;&amp;#160; J.A. Manrique-Martinez et al. Journal of Raman Spectroscopy (2020) 1-16.&lt;/p&gt;


2011 ◽  
Author(s):  
F. Rull ◽  
A. Sansano ◽  
E. Díaz ◽  
C. P. Canora ◽  
A. G. Moral ◽  
...  

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