Temperature Correction and Result Evaluation of Lunar Mineralogical Spectrometer for Chang’E-5 Mission

Authors:
Publisher website
Google Scholar
Abstract
The lunar mineralogical spectrometer (LMS) is the primary scientific payload of the Chang’E-5 mission of the China Lunar Exploration Program. The LMS is responsible for the in situ spectral detection and analysis of the sampling areas of interest on the Moon’s surface. The LMS needs to adapt to a wide range of temperature conditions, varying between the lunar morning to noon, based on the time, location, and work process of the LMS. Thus, ensuring consistency in the spectral data obtained at high temperatures and a wide range of operating environments is a major challenge. In this study, a thermal analysis model of the LMS is built, and the temperature variation of the LMS during its operation on the lunar surface is simulated using the instrument workflow that is based on the simulation results. Independent experiments were also carried out for the temperature-sensitive components in the LMS, and subsequently, the temperature correction model and model coefficients for each temperature-sensitive component were obtained. The final correction result was a quantitative assessment of the ground test data and the in situ lunar detection data. For the ground tests at different temperatures, the average errors were found to be 0.57% and 1.2% for the short- and medium-wave data, respectively, after applying the temperature correction. When the LMS was operating on the lunar surface, the average errors for the short- and medium-ware data after the temperature correction were calculated to be 0.59% and 0.8%, respectively.
Funding Information
  • China Lunar Exploration Program (CLEP) and China National Space Administration (CNSA), and National Natural Science Foundation of China (21105109, 61605231)
  • Program of Shanghai Academic/Technology Research Leader (19XD1424100)
  • Shanghai Outstanding Academic Leaders Plan

This publication has 32 references indexed in Scilit: