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A Simulated Geochemical Rover Mission to the Taurus-Littrow Valley of the Moon

机译:前往金牛座-利特罗月球谷的模拟地球化学漫游车任务

摘要

We test the effectiveness of using an alpha backscatter, alpha-proton, X ray spectrometer on a remotely operated rover to analyze soils and provide geologically useful information about the Moon during a simulated mission to a hypothetical site resembling the Apollo 17 landing site. On the mission, 100 soil samples are "analyzed" for major elements at moderate analytical precision (e.g., typical relative sample standard deviation from counting statistics: Si[11%], Al[18%], Fe[6%], Mg[20%], Ca[5%]). Simulated compositions of soils are generated by combining compositions of components representing the major lithologies occurring at the site in known proportions. Simulated analyses are generated by degrading the simulated compositions according to the expected analytical precision of the analyzer. Compositions obtained from the simulated analyses are modeled by least squares mass balance as mixtures of the components, and the relative proportions of those components as predicted by the model are compared with the actual proportions used to generate the simulated composition. Boundary conditions of the modeling exercise are that all important lithologic components of the regolith are known and are represented by model components, and that the compositions of these components are well known. The effect of having the capability of determining one incompatible element at moderate precision (25%) is compared with the effect of the lack of this capability. We discuss likely limitations and ambiguities that would be encountered, but conclude that much of our knowledge about the Apollo 17 site (based on the return samples) regarding the distribution and relative abundances of lithologies in the regolith could be obtained. This success requires, however, that at least one incompatible element be determined.
机译:我们测试了在远程操作的流动站上使用alpha背向散射,alpha质子,X射线光谱仪分析土壤的有效性,并在对类似于阿波罗17着陆点的假设地点执行模拟任务期间提供了有关月球的地质有用信息。在任务中,以中等分析精度(例如,相对计数标准偏差的典型相对样品标准偏差:Si [11%],Al [18%],Fe [6%],Mg [ 20%],Ca [5%]。通过以代表一定比例的比例组合代表现场主要岩性的组分组成来生成模拟的土壤成分。通过根据分析仪的预期分析精度降解模拟成分来生成模拟分析。从模拟分析中获得的成分通过最小二乘质量平衡作为组分的混合物进行建模,并将模型预测的那些组分的相对比例与用于生成模拟成分的实际比例进行比较。建模工作的边界条件是,重矿物的所有重要岩性组分都是已知的,并由模型组分表示,并且这些组分的组成是众所周知的。将具有以中等精度(25%)确定一个不兼容元素的能力的效果与缺乏该能力的效果进行比较。我们讨论了可能遇到的局限性和歧义性,但得出的结论是,我们可以获得有关阿波罗17号矿场(基于返回样本)的许多知识,这些知识与重碎石中岩性的分布和相对丰度有关。然而,这种成功需要确定至少一个不兼容的元素。

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