| Literature DB >> 32714726 |
D J Scheeres1, J W McMahon1, D N Brack1, A S French1, S R Chesley2, D Farnocchia2, D Vokrouhlický3, R-L Ballouz4, J P Emery5, B Rozitis6, M C Nolan4, C W Hergenrother4, D S Lauretta4.
Abstract
This paper explores the implications of the observed Bennu particle ejection events for that asteroid's spin rate and orbit evolution, which could complicate interpretation of the Yarkovsky-O'Keefe-Radzievskii-Paddack (YORP) and Yarkovsky effects on this body's spin rate and orbital evolution. Based on current estimates of particle ejection rates, we find that the overall contribution to Bennu's spin and orbital drift is small or negligible as compared to the Yarkovsky and YORP effects. However, if there is a large unseen component of smaller mass ejections or a strong directionality in the ejection events, it could constitute a significant contribution that could mask the overall YORP effect. This means that the YORP effect may be stronger than currently assumed. The analysis is generalized so that the particle ejection effect can be assessed for other bodies that may be subject to similar mass loss events. Further, our model can be modified to address different potential mechanisms of particle ejection, which are a topic of ongoing study. ©2020. The Authors.Entities:
Keywords: Bennu; OSIRIS‐REx; YORP; particle ejection
Year: 2020 PMID: 32714726 PMCID: PMC7375169 DOI: 10.1029/2019JE006284
Source DB: PubMed Journal: J Geophys Res Planets ISSN: 2169-9097 Impact factor: 3.755
Bennu Parameters (Lauretta, DellaGiustina, et al., 2019)
| Parameter | Value | Units | Notes |
|---|---|---|---|
|
| 4.892 | m
| Gravitational parameter |
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| kg | Total Bennu mass |
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| 1.190 | g/cm
| Bulk density |
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| 4.296057 | h | Rotation period (J2000) |
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| rad/s | Rotation rate (J2000) |
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| degrees / day
| YORP Acceleration |
| RA | 85.65 | deg | Right ascension (J2000) |
| DEC |
| deg | Declination (J2000) |
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| 177.6 | deg | Computed obliquity |
| Specific Principal Moments of Inertias | |||
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| m
| Minimum Moment of Inertia |
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| m
| Intermediate Moment of Inertia |
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| m
| Maximum Moment of Inertia |
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| m
| Sphere‐equivalent Moment of Inertia |
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| Oblateness coefficient | |
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| 0.00320 | Ellipticity coefficient | |
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| 245.023 | m | Normalizing and mean radius |
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| 230 | m | Minimum averaged radius |
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| 270 | m | Maximum averaged radius |
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| m
| Surface area |
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| kg m
| Total angular momentum |
Note. Mass moments are computed from the published shape model (Barnouin et al., 2019) using a constant density assumption.
Assumed Particle Parameters (Lauretta, Hergenrother, et al., 2019)
| Parameter | Value | Units | Comments |
|---|---|---|---|
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| 2,000 | kg/m
| Grain density |
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| cm | Particle diameter |
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| kg | Particle mass range |
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| kg m
| Particle moment of inertia |
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| m/s | Particle ejection speeds |
Equivalent Mass Loss Rate for Each Combination of Total Number of Particles Ejected, , Modeled as a Power Law With , and Cumulative Size Frequency Distribution,
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| Mass loss rate (kg/s) |
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Figure 1Inertial speeds after ejection are a strong function of location on a rotating body, making it possible for eastward facing particles to escape at a lower ejection speed than westward facing particles.
Figure 2Escape speed mapped over the surface Bennu.
Figure 3Change in spin rate due to uniform particle ejection at a given speed, accounting for escape and particle redistribution.
Figure 4Angular velocity change due to a 10‐cm particle ejected at 1 m/s normal to surface, over the change caused by 1 day of YORP acceleration.
Figure 5The integrated depth of Bennu's surface that is processed from particle ejection events. Left panel: for a power law cumulative particle size frequency distribution with exponent, , we show the processed depth for various total number of particles ejected per year. Assuming that these particle ejection events began when Bennu became a NEA, the top 2 m can be processed in 10 Myr (vertical red dashed line). Right panel: We evaluated the effect of varying the size distribution exponent, since this has yet to be well characterized for the observed ejected particles (Lauretta, Hergenrother, et al., 2019). We find that this has a notable effect on the processed depth, but variations are within 1 order of magnitude for the likely range evaluated.