Visualization of the data from Spectral Profiler onboard Kaguya to retrieve the mineral information of the lunar surface

我开发了一种新的算法，用于分析日本月球卫星“月亮女神”上的光谱分析器（SP）的光谱数据。SP数据涵盖了可见光和近红外波段，提供了有关月球矿物分布的宝贵信息。为了从SP数据中提取矿物信息，我们需要检测和量化观测光谱的吸收带特征。通过我的优化算法，我们可以自动分析覆盖整个月球的所有SP数据，总计约7000万个观测点。

I developed a new algorithm for analyzing the spectral data from Spectral Profiler (SP) onboard the Japanese lunar satellite Kaguya. The SP data covers the wavelengths of visible-near infrared and provide the valuable information about the mineral distribution on the Moon. To retrieve the mineral information from the SP data, we need to detect and quantify the features of absorption band of the observed spectra. By using my optimized algorithm, we can automatically analyze all the SP data covering the whole Moon which amounts to about 70 million points of observation.