2.2 Method2.2.1 SimulationsAll simulations were done using pkdgrav, a parallelized tree code designed for efficientN-body gravitational and collisional simulations (Richardson et al. 2000; Leinhardt et al.2000; Stadel 2001; Leinhardt & Richardson 2002; Richardson et al. 2005). The simulationsused a timestep of 10 −5 yr/2π, (about 50 seconds, or ∼ 2% of the dynamical timefor the particles) and all simulations were initially run for 10,000 timesteps (∼ 5.8 days).Simulations that produced binaries or systems of bound bodies were run an additional20,000 timesteps to reach a total of 30,000 timesteps (∼ 17.4 days). The collisions ofindividual particles were governed by coefficients of restitution, both normal (ε n ) andtangential (ε t ), which determine how much energy is dissipated during collisions. Thenormal coefficient of restitution, ε n , was fixed at 0.8 in these simulations, similar to previousstudies, and ε t was fixed at 1.0 (no surface friction). Previous work has shown thatε n has little effect on the outcome of a tidal disruption so long as ε n < 1.0 (Richardsonet al. 1998).2.2.2 ProgenitorsThe rubble pile models used in these simulations consist of identical rigid spheres boundto one another by gravity alone. There were five separate progenitors used in the simulations,each with different elongations: 1.0, 1.25, 1.5, 1.75, and 2.0 (here elongationis defined as e = a/c with a, b and c representing the long, intermediate and short axislength of a tri-axial ellipsoid; in our simulations, b was set to ∼ c). The bodies were allconstructed using particles with an internal density of 3.4 g cm −3 , but the bulk densityof the body would vary depending on its packing efficiency, which was usually around27
∼ 60%, making a bulk density of ∼ 2.0 g cm −3 . Each progenitor consisted of approximately1,000 particles; the exact number varied between 991 and 1021 depending on thefinal overall shape 1 . Recent work by Richardson et al. (2005) shows that the resolutionof a rubble pile simulation can have an effect on the outcome: as resolution increases, thegranular behavior becomes more fluid-like, aiding disruption. To justify our use of 1000particles, we assume the smallest building block for rubble piles in the inner solar systemis ∼150 m, based on SPH collision studies and the observed spin rate cutoff of km-sizedasteroids (Benz & Asphaug 1999; Pravec et al. 2002). With 150 m particles, a sphericalclose-packed rubble pile with 1000 particles is ∼ 3.3 km in diameter. This diameter isnearly as large as the largest observed NEA binary primary, but also has enough resolutionto model ejected fragments which may remain bound to each other, and to allowaccurate measurement of size ratios.The progenitors were given one of four rotation rates: 3, 4, 6, or 12 h periods. Largeasteroid (D > 40 km) spin rates have been shown to follow a Maxwellian distribution,but small asteroids (D < 10 km) have an excess of fast and slow rotators (Pravec et al.2002). Studies have attempted to fit the population of small asteroids with 3 differentMaxwellians, with a combination of fast, moderate, and slow rotation rates of ∼ 6.4, 11.3,and 27.5 h (Donnison & Wiper 1999). However, with the large proportion of fast-rotatingNEAs (possibly as high as 50%) observed to be primaries of binary systems, they mayhave already experienced a tidal disruption and had their spin state altered (Margot et al.2002; Scheeres et al. 2004). Our selections were made to sample fast rotators (3, 4 h), aswell as some moderate ones (6, 12 h). No spin periods longer than 12 h were simulated1 The packing algorithm uses hexagonal closest packing, which depends on a certain level of symmetryto construct bodies out of a finite number of perfect spheres. This results in variation in the number ofparticles for various shapes. Similarly, due to boundary algorithms and the finite size of the building blocks,the bulk density can vary slightly.28
- Page 1 and 2: AbstractTitle of Dissertation:Formi
- Page 3 and 4: Forming Binary Near-Earth Asteroids
- Page 5 and 6: PrefaceMuch of the work in this dis
- Page 7 and 8: AcknowledgementsI would not have ma
- Page 9 and 10: 2.3 Results and Discussion . . . .
- Page 11 and 12: List of Tables1.1 Binary NEA proper
- Page 13 and 14: 4.8 Percentage of migrated binaries
- Page 15 and 16: of the system mass M by way of Kepl
- Page 17 and 18: the largest lightcurve amplitudes o
- Page 19 and 20: 1.1.3 Binary Main-Belt asteroidsRec
- Page 21 and 22: Lightcurve discoveriesA lightcurve
- Page 23 and 24: Figure 1.1: (Top) The primary rotat
- Page 25 and 26: 1.2.1 CaptureIn this scenario two a
- Page 27 and 28: ever, understanding the mechanism i
- Page 29 and 30: off the equator or off one end of a
- Page 31 and 32: 3 Denotes a secure result with no a
- Page 33 and 34: nostic.Recent results have demonstr
- Page 35 and 36: another intermediate source of NEAs
- Page 37 and 38: 1.5.2 Rubble pilesThe evidence for
- Page 39: Chapter 2Formation of Binary Astero
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- Page 45 and 46: Figure 2.3: Snapshots of a tidal di
- Page 47 and 48: Figure 2.4: Normalized probability
- Page 49 and 50: Figure 2.5: Normalized probability
- Page 51 and 52: Figure 2.6: (a) Satellite eccentric
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- Page 55 and 56: etween ω pri and L bin ), with clo
- Page 57 and 58: prolate-like), the oblate-like bodi
- Page 59 and 60: Figure 2.9: Plots comparing T-PROS
- Page 61 and 62: Figure 2.10: Comparison of S-class
- Page 63 and 64: 2.3.5 Triples and hierarchical syst
- Page 65 and 66: a/R pri based on a simple conversio
- Page 67 and 68: Figure 2.13: The eccentricity dampi
- Page 69 and 70: Main Belt. Work by Chauvineau & Far
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- Page 77 and 78: and suggests that it is possibly a
- Page 79 and 80: fit for the period of the lightcurv
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- Page 85 and 86: Figure 3.4: Asteroid lightcurves.72
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Typically observations of eclipse o
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Chapter 4Steady-State Model of the
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values between 0.2-0.6. There is on
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asteroids in the Main Belt is suffi
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Figure 4.2: Percent of surviving NE
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4.1.3 Binary evolutionBasic stabili
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Table 4.1.Lifetimes for binary NEAs
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which means it should have a critic
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Figure 4.4: The total number of bin
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the original eccentricity distribut
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Figure 4.6: Properties of the binar
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Figure 4.8: Binary percentage for m
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Figure 4.9: Effects of tidal evolut
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quickly altered, or involved in bin
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tidal disruption. However, the impl
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Chapter 5ConclusionsA general concl
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small additions to the angular mome
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cently this large pool of observers
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differences in results when a lower
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Table A.1.Number of binaries produc
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Thus the reaccumulated bodies in th
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of 2.2 h observed is significantly
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Benner, L. A. M., Nolan, M. C., Ost
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V7.0:LCREF TAB, 35, 4Harris, A. W.,
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Storrs, A. D., Close, L. M., & Mena
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122Pravec, P., Kušnirá, P., Hicks
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Shepard, M. K., Schlieder, J., Nola