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用于自动识别火星上矿物相和生物特征的拉曼信号处理软件。

Raman signal processing software for automated identification of mineral phases and biosignatures on Mars.

作者信息

Sobron Pablo, Sobron Francisco, Sanz Aurelio, Rull Fernando

机构信息

Unidad Asociada Universidad de Valladolid CSIC a través del Centro de Astrobiología, Cristalografía y Mineralogía, Facultad de Ciencias, Paseo Prado de la Magdalena s/n. 47011 Valladolid, Spain.

出版信息

Appl Spectrosc. 2008 Apr;62(4):364-70. doi: 10.1366/000370208784046704.

Abstract

Data from the ESA ExoMars Rover Mission will provide invaluable input for further studies in astro/exobiology. The search for mineral products as indicators of present and/or past biogenetic activities in Mars' surface and subsurface samples is the main objective of the compact Raman-laser-induced breakdown spectroscopy (LIBS) instrument. The inherent features of Raman spectroscopy and LIBS make the combined instrument a unique and very powerful tool in the search for biomarkers and hence it is regarded as the highest priority instrument for mineral analysis within the mission. We have developed a software package for the on-board processing of the instrument's data outputs, including spectral conditioning and search-match characterization of mineral phases and biomarkers. In this paper we show the mathematical and physical basis of the software package.

摘要

欧洲航天局火星漫游者任务的数据将为天体生物学/外星生物学的进一步研究提供宝贵的资料。在火星表面和地下样本中寻找作为当前和/或过去生物成因活动指标的矿物产品,是紧凑型拉曼激光诱导击穿光谱仪(LIBS)的主要目标。拉曼光谱和LIBS的固有特性使这种组合仪器成为寻找生物标志物的独特且非常强大的工具,因此它被视为该任务中矿物分析的最优先仪器。我们已经开发了一个软件包,用于对仪器的数据输出进行机载处理,包括光谱调节以及矿物相和生物标志物的搜索匹配表征。在本文中,我们展示了该软件包的数学和物理基础。

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