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首页> 外文期刊>Planetary and space science >Geochemical modelling of terrestrial igneous rock compositions using laboratory thermal emission spectroscopy with an overview on its applications to Indian Mars Mission
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Geochemical modelling of terrestrial igneous rock compositions using laboratory thermal emission spectroscopy with an overview on its applications to Indian Mars Mission

机译:利用实验室热发射光谱法对陆地火成岩成分进行地球化学建模,并概述了其在印度火星飞行任务中的应用

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We attempt geochemical modelling of igneous rock samples with a range of compositions using laboratory generated thermal emission spectra. Igneous rock samples, plutonic and volcanic variants of alkaline and sub alkaline composition were used for the analysis. The collected rock samples were analysed for mineralogical composition, mineral chemistry, and bulk rock chemistry using various techniques. Laboratory thermal emission spectrometer was developed by attaching an in-house fabricated emissivity apparatus to FTIR spectrometer thus, modifying the optical path of FT-IR spectrometer. Rock samples, chipped for the fresh surface, of fist size, were used to generate emissivity spectra. The emissivity spectrum of each rock sample so generated was deconvolved into its constituent minerals with the help of a spectral library of end-member minerals and using simple linear retrieval algorithm. The deconvolution was achieved by reducing RMS error while matching the measured spectrum to the modelled spectrum. Mineral chemistry and bulk rock chemistry was derived from the modelled spectrum with the help of the spectral library of end-member minerals developed by ASU, USA. We applied the existing LUGS classification scheme for all the analysed rock samples based on bulk rock chemistry derived using thermal emission spectroscopy and compared with measured bulk chemistry from XRF. The method is found to be useful in the classification of both plutonic and volcanic rock types within an error limit of la. The classification is effective in differentiating alkaline rock types from sub-alkaline varieties. Measured and modelled silica percentage is found to be closely matching whereas total alkali shows over and under estimation. The emissivity spectra of collected rock samples were resampled to 12 bands corresponding to the spectral bands of Thermal Infrared Imaging Spectrometer (TIS) onboard Indian Mars Orbiter Mission. The analysis shows that TIS will be able to differentiate major Martian surface compositions. Consequently, we believe that the instrument will help us to improve our understanding on Martian surface in particular and its evolution and crustal differentiation in general.
机译:我们尝试使用实验室产生的热发射光谱对各种成分的火成岩样品进行地球化学建模。分析了火成岩样品,碱性和亚碱性组成的火成岩和火山变体。使用各种技术对收集的岩石样品进行矿物学组成,矿物化学和块状岩石化学分析。通过在FTIR光谱仪上安装内部制造的发射率仪,从而修改了FT-IR光谱仪的光路,从而开发了实验室热发射光谱仪。用拳头大小的新鲜表面切碎的岩石样品来产生发射光谱。借助于最终成员矿物的光谱库并使用简单的线性检索算法,将如此生成的每个岩石样品的发射率光谱解卷积为其组成矿物。通过减少RMS误差,同时将测得的光谱与建模光谱匹配,可以实现去卷积。矿物化学和块状岩石化学是在美国ASU开发的末端成员矿物光谱库的帮助下从建模光谱得出的。我们将现有的LUGS分类方案应用于所有基于热发射光谱法得出的块状岩石化学成分的分析岩石样品,并与XRF测得的块状化学成分进行比较。发现该方法可用于误差范围为1a的矿床和火山岩类型的分类。该分类可有效区分碱性岩和亚碱性岩。发现测量和建模的二氧化硅百分比非常匹配,而总碱值则超出或低于估计值。将收集到的岩石样品的发射光谱重新采样为12个波段,这些波段对应于印度火星轨道飞行器任务上的热红外成像光谱仪(TIS)的光谱带。分析表明,TIS将能够区分主要的火星表面成分。因此,我们相信该仪器将帮助我们特别是对火星表面以及其演化和地壳分化的进一步了解。

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