Abstract
Asteroid surface boulders contain important information about the origin and geological evolution of asteroids. Previous insights into boulders on the surface of Toutatis are based on direct measurements from two-dimensional images, the accuracy of these measurements needs to be further improved. Therefore, this study uses radar shape models to correct the dimensions of those Toutatis boulders with well-defined contours. 22 boulders are corrected and their distributions before correction have similar statistics to those boulders (222 in total) in Jiang et al. (2015). We re-examine the size and shape distributions of these corrected boulders and results show that the power-law index of boulders larger than 40 m, –1.27 ± 0.05, is relatively flatter than that of other asteroids that have been observed by spacecrafts. If this index represents the distribution pattern of boulders larger than a few meters across on the Toutatis surface, it suggests that Toutatis may have undergone fewer and weaker fragmentation processes during its past than other spacecraft-detected NEAs, which further suggests that the boulders on the Toutatis surface are in a unique state of preservation. We also find that these boulders have an apparent axis ratio of 0.7, which predicts that most of the boulders on the Toutatis surface are in a gravitationally stable state. In addition, these larger boulders on the Toutatis surface are mainly distributed at the junction of the body and the head, it is possible that they were produced by sputtering during the low-velocity impact between the head and the body. High-resolution optical images and computer simulations in the future will be of great help in deeply understanding the origin and geological evolution of Toutatis.
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YL was supported from the Natural Science Research of Jiangsu Higher Education Institutions of China (Grant no. 20KJD160001). YZ was supported from the National Natural Science Foundation of China (Grant nos.: 12222307, 12073084).
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Li, Y., Zhao, Y. The Toutatis (4179) Boulders: Shallow Slope in Size Distribution and Shape Statistics. Sol Syst Res 57, 495–504 (2023). https://doi.org/10.1134/S0038094623050088
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DOI: https://doi.org/10.1134/S0038094623050088