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首页> 外文期刊>Astronomy and astrophysics >Detection of exposed H2O ice on the nucleus of comet 67P/Churyumov-Gerasimenko - as observed by Rosetta OSIRIS and VIRTIS instruments
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Detection of exposed H2O ice on the nucleus of comet 67P/Churyumov-Gerasimenko - as observed by Rosetta OSIRIS and VIRTIS instruments

机译:检测彗星67p / churyumov-gerasimenko上暴露的H2O冰 - 由Rosetta Osiris和Virtis仪器观察

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Context. Since the orbital insertion of the Rosetta spacecraft, comet 67P/Churyumov-Gerasimenko (67P) has been mapped by OSIRIS camera and VIRTIS spectro-imager, producing a huge quantity of images and spectra of the comet’s nucleus. Aims. The aim of this work is to search for the presence of H _(2) O on the nucleus which, in general, appears very dark and rich in dehydrated organic material. After selecting images of the bright spots which could be good candidates to search for H _(2) O ice, taken at high resolution by OSIRIS, we check for spectral cubes of the selected coordinates to identify these spots observed by VIRTIS. Methods. The selected OSIRIS images were processed with the OSIRIS standard pipeline and corrected for the illumination conditions for each pixel using the Lommel-Seeliger disk law. The spots with higher I / F were selected and then analysed spectrophotometrically and compared with the surrounding area. We selected 13 spots as good targets to be analysed by VIRTIS to search for the 2 μ m absorption band of water ice in the VIRTIS spectral cubes. Results. Out of the 13 selected bright spots, eight of them present positive H _(2) O ice detection on the VIRTIS data. A spectral analysis was performed and the approximate temperature of each spot was computed. The H _(2) O ice content was confirmed by modeling the spectra with mixing (areal and intimate) of H _(2) O ice and dark terrain, using Hapke’s radiative transfer modeling. We also present a detailed analysis of the detected spots.
机译:语境。由于Rosetta SpaceCraft的轨道插入,彗星67p / churyumov-gerasimenko(67p)已被Osiris相机和Quadis Spectro-imager映射,从而产生了大量的彗星核的图像和光谱。目标。这项工作的目的是在核上搜索H _(2)o的存在,通常看起来非常暗和富含脱水有机材料。在选择可能是较好的候选的明亮斑点的图像之后,以oSiris以高分辨率搜索H _(2)O ICE,我们检查所选坐标的光谱多维数据集以识别Virtis观察到的这些斑点。方法。使用Osiris标准管道处理所选择的OSIRIS图像,并使用Lommel-Seeliger磁盘定律校正每个像素的照明条件。选择具有较高I / F的斑点,然后分析分光光度分析并与周围区域进行比较。我们选择了13个斑点,以便通过Virtis进行分析的良好目标,以搜索Virtis光谱立方体中的水冰的2微米吸收带。结果。在13个选定的明亮斑点中,其中八个在Virtis数据上存在正H _(2)o ICE检测。进行光谱分析,计算每个斑点的近似温度。通过使用Hapke的辐射转移建模,通过使用H_(2)o冰和深色地形的混合(区域和贴心)模拟光谱来确认H _(2)o冰含量。我们还对检测到的斑点进行了详细的分析。

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