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Tardioli, C.; Farnocchia, D.; Rozitis, B.; Cotto-Figueroa, D.; Chesley, S. R.; Statler, T. S. and Vasile, M.
(2017).
DOI: https://doi.org/10.1051/0004-6361/201731338
Abstract
Aims. From lightcurve and radar data we know the spin axis of only 43 near-Earth asteroids. In this paper we attempt to constrain the spin axis obliquity distribution of near-Earth asteroids by leveraging the Yarkovsky effect and its dependence on an asteroid’s obliquity.
Methods. By modeling the physical parameters driving the Yarkovsky effect, we solve an inverse problem where we test different simple parametric obliquity distributions. Each distribution results in a predicted Yarkovsky effect distribution that we compare with a X2 test to a dataset of 125 Yarkovsky estimates.
Results. We find different obliquity distributions that are statistically satisfactory. In particular, among the considered models, the best-fit solution is a quadratic function, which only depends on two parameters, favors extreme obliquities, consistent with the expected outcomes from the YORP effect, has a 2:1 ratio between retrograde and direct rotators, which is in agreement with theoretical predictions, and is statistically consistent with the distribution of known spin axes of near-Earth asteroids.
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About
- Item ORO ID
- 54141
- Item Type
- Journal Item
- ISSN
- 1432-0746
- Project Funding Details
-
Funded Project Name Project ID Funding Body Probing solar system process using extreme asteroids Not Set Royal Astronomical Society (RAS) - Keywords
- methods: statistical; celestial mechanics; minor planets; asteroids: general
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- ?? space ??
- Copyright Holders
- © 2017 ESO
- Depositing User
- Benjamin Rozitis