Independent Component Analysis of the Gamma Ray Spectrometer data of SELENE (Kaguya)

O. Forni, O. Gasnault, B. Diez, C. d'Uston, S. Maurice, N. Hasebe, O. Okudaira, N. Yamashita, S. Kobayashi, Y. Karouji, M. Hareyama, M. Kobayashi, R. Reedy, K. Kim
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引用次数: 3

Abstract

We analyze the spectra measured by the Gamma Ray Spectrometer (GRS) on board the SELENE satellite orbiting the Moon. The spectra consist in 8192 energy channels ranging from 0 to 12 MeV and exhibiting lines of interest (O, Mg, Al, Si, Ti, Ca, Fe, K, Th, and U) superposed on a continuum. We have also analysed the data with various multivariate techniques, one of them being the Independent Component Analysis. We have used the JADE algorithm for our analysis that we focused in the energy range from 750 to 3000 keV. We identify at least three meaningful components. The first one is correlated to the Thorium map. The corresponding correlation coefficient spectrum exhibits the lines of Thorium, Potassium and Uranium. The second component is clearly correlated with the Iron as shown on its corresponding spectrum. Finally the third component seems to be related to the altitude of the spacecraft. This work shows that maps of elements such as iron will be available with the GRS data by a purely statistical analysis.
SELENE (Kaguya)伽马射线谱仪数据的独立分量分析
我们分析了月球轨道卫星SELENE上的伽马射线光谱仪(GRS)测量的光谱。光谱由8192个能量通道组成,范围从0到12 MeV,并显示出叠加在连续体上的兴趣线(O, Mg, Al, Si, Ti, Ca, Fe, K, Th和U)。我们还用各种多元技术分析了数据,其中一种是独立成分分析。我们使用JADE算法进行分析,我们集中在750到3000 keV的能量范围内。我们确定了至少三个有意义的组成部分。第一个与钍地图相关。相应的相关系数谱为钍、钾、铀谱线。第二种成分在其相应的光谱上与铁明显相关。最后,第三个组成部分似乎与航天器的高度有关。这项工作表明,通过纯粹的统计分析,GRS数据将提供铁等元素的地图。
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