A method of fiducial-value normalizing to leveling the global average atomic number of lunar surface calculated by orbital Gamma spectroscopy data

Abstract

As “banded structure” is a vexed question in orbital Gamma spectroscopy data inversion. In this paper, a new method to level the lunar global data of average atomic number by the fiducial-value in the stable composition circle is proposed. In order to verify the accuracy, the existing moon-sampling rock data as the “standard sample” and fast neutron data are also presented. The slope of the positive fit curve is 1.875 and the correlation coefficient is 0.72. And some geological characteristics, such as the structural boundaries and internal features of the Antarctic Aiken Basin, can identify obviously.

Galactic Cosmic-Ray Background Deduction Method Based on Empirical Mode Decomposition*

“…To streamline the data processing procedures and enhance the efficiency of data inversion, the problem of GCR background deduction in the data of the circumlunar gammaray spectrometer satellite is transformed into the problem of stripping in the map of the whole lunar grid data. Zhao et al (2019) selected the distribution area of stable elements (latitude circle) on the lunar surface as the baseline for conducting stripe correction on the grid data, and achieved good results. However, it is crucial to note that the system correction parameters in the data leveling method fluctuate with the choice of the "material stability circle."…”