Mineralogical composition of sands in Meridiani Planum determined from Mars Exploration Rover data and comparison to orbital measurements
Mineralogical composition of sands in Meridiani Planum determined from Mars Exploration Rover data and comparison to orbital measurements
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DOI：
10.1029/2007je002995
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发表时间：
2008-06
影响因子：
--
通讯作者：
A. D. Rogers;O. Aharonson
中科院分区：
文献类型：
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作者：
A. D. Rogers;O. Aharonson
对子午线平原低硫、低硫砂矿物组成的限制是由火星探测漫游者（MER）机会微型热发射光谱仪（Mini-TES）、穆斯堡尔谱仪和阿尔法质子X射线光谱仪测量确定的。这项工作的结果表明，砂是橄榄石玄武岩的组成，与少量的硫酸盐和高硅相（玻璃或二次无定形二氧化硅）。所有三种仪器的测量结果都表明，辉石的丰度是橄榄石的两倍，辉石的成分主要是低钙的。橄榄石的体积丰度限制在10- 15%。详细分析MER数据的结果被用来地面真理的光谱发射率和矿物丰度来自轨道与火星全球测量者TES数据。TES衍生的矿物丰度在来自MER数据的5%以内，这通常在与TES衍生的相丰度相关的统计误差范围内。该协议支持全球和区域范围内的矿物成分变化，从TES数据在以前的研究中确定。最小二乘最小化的另一种方法是用于建模的TES和迷你TES数据，这种方法的好处是通过比较与传统的最小二乘技术以前使用的TES数据用户证明。
Constraints on the mineralogical composition of low-albedo, low-sulfur sands at Meridiani Planum are determined from Mars Exploration Rover (MER) Opportunity Miniature Thermal Emission Spectrometer (Mini-TES), Mossbauer, and Alpha Proton X-Ray Spectrometer measurements. Results of this work show that the sand is olivine basaltic in composition, with minor amounts of sulfate and a high-silica phase (glass or secondary amorphous silica). Measurements from all three instruments indicate that pyroxene is twice as abundant as olivine, and that the pyroxene composition is dominated by the low-calcium variety. The volume abundance of olivine is constrained to be 10-15%. Results from detailed analyses of MER data are used to ground truth the spectral emissivity and mineral abundances derived from orbit with Mars Global Surveyor TES data. TES-derived mineral abundances are within 5% of those derived from MER data, which is generally within the statistical errors associated with TES-derived phase abundances. The agreement lends support to global- and regional-scale variations in mineralogical composition determined from TES data in previous studies. An alternative method of least squares minimization is used for modeling the TES and Mini-TES data; the benefits of this method are demonstrated by comparison with conventional least squares techniques previously used by TES data users.