Title: Assimilation of Infrared Data from Near-Earth Asteroid Ryugu
Estimating thermophysical properties and their respective uncertainty provides great insights into the structure of the upper surface layer of planetary bodies. However, due to high computational cost, a simultaneous estimation of multiple thermophysical paramters remains a major challenge. Data assimilation is an efficient method to simultaneous derive a great number of these parameters and their uncertainties with little computational cost and we apply this method to the dataset observed by the Hayabusa2 spacecraft at asteroid Ryugu.
