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Migration of bodies to the Earth from different distances from the Sun.

  • Published In: Proceedings of the International Astronomical Union, 2023, v. 19, n. S374. P. 49 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ipatov, Sergei I. 3 of 3

Abstract

Migration of bodies under the gravitational influence of almost formed planets was studied, and probabilities of their collisions with the Earth and other terrestrial planets were calculated. Based on the probabilities, several conclusions on the accumulation of the terrestrial planets have been made. The outer layers of the Earth and Venus could accumulate similar planetesimals from different regions of the feeding zone of the terrestrial planets. The probabilities of collisions of bodies during their dynamical lifetimes with the Earth could be up to 0.001-0.01 for some initial semi-major axes between 3.2 and 3.6 AU, whereas such probabilities did not exceed 10−5 at initial semi-major axes between 12 and 40 AU. The total mass of water delivered to the Earth from beyond Jupiter's orbit could exceed the mass of the Earth's oceans. The zone of the outer asteroid belt could be one of the sources of the late-heavy bombardment. The bodies that came from the zone of Jupiter and Saturn typically collided with the Earth and the Moon with velocities from 23 to 26 km/s and from 20 to 23 km/s, respectively. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Proceedings of the International Astronomical Union. 2023/08, Vol. 19, Issue S374, p49
  • Document Type:Conference Paper/Materials
  • Subject Area:Physics
  • Publication Date:2023
  • ISSN:1743-9213
  • DOI:10.1017/S1743921324000735
  • Accession Number:190354165
  • Copyright Statement:Copyright of Proceedings of the International Astronomical Union is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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