IR Spectroscopy of Synthetic Glasses with Mercury Surface Composition: Analogs for Remote Sensing
IR Spectroscopy of Synthetic Glasses with Mercury Surface Composition: Analogs for Remote Sensing
复制标题
具有汞表面成分的合成玻璃的红外光谱:用于遥感的类似物
DOI:
10.1016/j.icarus.2017.05.024
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发表时间:
2017
期刊:
影响因子:
3.2
通讯作者:
Hiesinger H
中科院分区:
文献类型:
--
作者:
Morlok A;Klemme S;Weber I;Stojic A;Sohn M;Hiesinger H
In a study to provide ground-truth data for mid-infrared observations of the surface of Mercury with the MERTIS (Mercury Radiometer and Thermal Infrared Spectrometer) instrument onboard the ESA/JAXA BepiColombo mission, we have studied 17 synthetic glasses. These samples have the chemical compositions of characteristic Hermean surface areas based on MESSENGER data.The samples have been characterized using optical microscopy, EMPA and Raman spectroscopy. Mid-infrared spectra have been obtained from polished thin sections using Micro-FTIR, and of powdered size fractions of bulk material (0–25, 25–63, 93–125 and 125–250 µm) in the 2.5–18 µm range.The synthetic glasses display mostly spectra typical for amorphous materials with a dominating, single Reststrahlen Band (RB) at 9.5–10.7 µm. RB Features of crystalline forsterite are found in some cases at 9.5–10.2 µm, 10.4–11.2 µm, and at 11.9 µm. Dendritic crystallization starts at a MgO content higher than 23 wt.% MgO.The Reststrahlen Bands, Christiansen Features (CF), and Transparency Features (TF) shift depending on the SiO2and MgO contents. Also a shift of the Christiansen Feature of the glasses compared with the SCFM (SiO2/(SiO2+CaO+FeO+MgO)) index is observed. This shift could potentially help distinguish crystalline and amorphous material in remote sensing data. A comparison between the degree of polymerization of the glass and the width of the characteristic strong silicate feature shows a weak positive correlation.A comparison with a high-quality mid-IR spectrum of Mercury shows some moderate similarity to the results of this study, but does not explain all features.
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DOI:
--
发表时间:
2004
期刊:
影响因子:
--
作者:
P. King;P. McMillan;G. Moore
通讯作者:
G. Moore
影响因子:
3.2
作者:
J. Emery;A. Sprague;F. Witteborn;J. Colwell;R. Kozlowski;D. Wooden
通讯作者:
D. Wooden
影响因子:
3.2
作者:
A. Sprague;T. Roush
通讯作者:
T. Roush
影响因子:
2.6
作者:
J. Helbert;L. Moroz;A. Maturilli;A. Bischoff;J. Warell;A. Sprague;E. Palomba
通讯作者:
E. Palomba
影响因子:
2.4
作者:
A. Maturilli;J. Helbert;L. Moroz
通讯作者:
L. Moroz