1.Space Research Institute,Russian Academy of Sciences,Moscow,Russia
Abstract:
This paper presents the methods of soil parameter estimation from neutron probing data that are used when processing the data from the DAN experiment on the Martian surface. We discuss the data preprocessing steps that enable us to compare experimental data to a Monte-Carlo numerical model, algorithms used to estimate equivalent water and chlorine content for standard soil composition and to dynamically analyse the soil parameters in non-standard cases. We also provide the water and chlorine content estimates and compare them with the SAM experiment data.