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Modeling of surface spectra with and without dust from Martian infrared data: new aspects

机译:利用火星红外数据对有无灰尘的表面光谱建模:新方面

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Purpose - This paper aims to characterize the mineral composition of Martian surfaces based on Thermal Emission Spectrometer (TES; Mars Global Surveyor) as measured in the infrared thermal range. It presents modeling and interpreting of TES spectral data from selected Martian regions from which the atmospheric influences had been removed using radiative transfer algorithm and deconvolution algorithm. The spectra from the dark area of Cimmeria Terra and the bright Isidis Planitia were developed in Philip Christensen's and Joshua Bandfield's publications, where these spectra were subjected to spectral deconvolution to estimate the mineral composition of the Martian surface. The results of the analyses of these spectra were used for the modeling of dusty and non-dusty surface of Mars. As an additional source, the mineral compositions of Polish basalts and mafic rocks were used for these surfaces as well as for modeling Martian meteorites Shergottites, Nakhlites and Chassignites. Finally, the spectra for the modeling of the Hellas region were obtained from the Planetary Fourier Spectrometer (PFS) - (Mars Express) and the mineralogical compositions of basalts from the southern part of Poland were used for this purpose. The Hellas region was modeled also using simulated Martian soil samples Phyllosilicatic Mars Regolith Simulant and Sulfatic Mars Regolith Simulant, showing as a result that the composition of this selected area has a high content of sulfates. Linear spectral combination was chosen as the best modeling method. The modeling was performed using PFSLook software written in the Space Research Centre of the Polish Academy of Sciences. Additional measurements were made with an infrared spectrometer in thermal infrared spectroscopy, for comparison with the measurements of PFS and TES. The research uses a kind of modeling that successfully matches mineralogical composition to the measured spectrum from the surface of Mars, which is the main goal of the publication. This method is used for areas where sample collection is not yet possible. The areas have been chosen based on public availability of the data.Design/methodology/approach - The infrared spectra of the Martian surface were modeled by applying the linear combination of the spectra of selected minerals, which then are normalized against the measured surface area with previously separated atmosphere. The minerals for modeling are selected based on the expected composition of the Martian rocks, such as basalt. The software used for this purpose was PFSLook, a program written in C + + at the Space Research Centre of the Polish Academy of Sciences, which is based on adding the spectra of minerals in the relevant percentage, resulting in a final spectrum containing 100 per cent of the minerals.Findings - The results of this work confirmed that there is a relationship between the modeled, altered and unaltered, basaltic surface and the measured spectrum from Martian instruments. Spectral deconvolution makes it possible to interpret the measured spectra from areas that are potentially difficult to explore or to choose interesting areas to explore on site. The method is described for mid-infrared because of software availability, but it can be successfully applied to shortwave spectra in near-infrared (NIR) band for data from the currently functioning Martian spectroscopes.Originality/value - This work is the only one attempting modeling the spectra of the surface of Mars with a separated atmosphere and to determine the mineralogical composition.
机译:目的-本文旨在基于热辐射光谱仪(TES; Mars Global Surveyor),在红外热范围内对火星表面的矿物成分进行表征。它提供了来自选定火星区域的TES光谱数据的建模和解释,这些区域已使用辐射转移算法和反卷积算法消除了大气影响。菲利普·克里斯滕森(Chris Christensen)和约书亚·班德菲尔德(Joshua Bandfield)的出版物中开发了Cimmeria Terra暗区和明亮的Isidis Planitia光谱,对这些光谱进行了反卷积,以估算火星表面的矿物成分。这些光谱的分析结果用于模拟火星上尘土飞扬的表面。作为额外来源,波兰玄武岩和镁铁矿岩石的矿物成分被用于这些表面以及对火星陨石Shergottite,Nakhlites和Chassignites进行建模。最后,从行星傅里叶光谱仪(PFS)-(火星快车)获得了用于海拉斯地区建模的光谱,并将波兰南部的玄武岩的矿物学成分用于此目的。还使用模拟的火星土壤样本进行了Hellas区域建模,包括:硅硅化石火星雷戈利斯模拟物和硫酸盐火星雷戈利斯模拟物,结果表明该选定区域的成分中硫酸盐含量很高。选择线性光谱组合作为最佳建模方法。使用波兰科学院空间研究中心编写的PFSLook软件进行建模。在热红外光谱中用红外光谱仪进行了其他测量,以与PFS和TES的测量进行比较。该研究使用一种模型,该模型成功地将矿物成分与火星表面的测量光谱相匹配,这是该出版物的主要目标。此方法用于尚无法收集样品的区域。设计/方法/方法-通过应用所选矿物的光谱的线性组合对火星表面的红外光谱进行建模,然后将其与测量的表面积进行归一化,以选择区域。以前分开的气氛。根据火星岩石(如玄武岩)的预期成分选择要建模的矿物。用于此目的的软件是PFSLook,这是波兰科学院空间研究中心用C ++编写的程序,该程序基于将矿物质光谱按相关百分比相加,最终得到的光谱中含有100%结果-这项工作的结果证实,模拟,改变和未改变的玄武岩表面与火星仪器测得的光谱之间存在关联。频谱反卷积可以从可能难以勘探的区域解释测得的光谱,或者选择现场要勘探的有趣区域。由于软件的可用性,该方法针对中红外进行了描述,但可以成功应用于近红外(NIR)波段的短波光谱中,以获取来自当前运行的火星光谱仪的数据。来源/价值-这项工作是唯一的尝试在分离的大气中模拟火星表面的光谱,并确定矿物成分。

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