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GUESS Initial population of Minor Bodies. GUESS Fragmentation models (Q * D, Q * S, .) Dynamics (V imp,, Yarkowsky, PR drag…) Observational constraints The MODEL MBAs, Trojans, Hildas, KBOs
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WHY DO WE WANT TO MODEL THE COLLISIONAL EVOLUTION OF MBPs?
SOLAR SYSTEM FORMATION : what was the primordial distribution of the minor body population before the collisional evolution begins? Constraints on the planetesimal accretion process.
COLLISIONAL PHYSICS: to understand the formation of families and family erosion. Statistical testing of scaling laws on many events.
INTRA-POPULATION FLUXES: interrelation among different populations in the solar system (MBAs – NEOs, Trojans – SPC, TNOs – Centaurus….)
LIFETIME OF BINARIES, LIMITS ON FAMILY YARKO-EXPANSION.
Initial population of Minor Bodies. GUESSGUESS
Fragmentation models (Q*
D, Q*S, .)
Dynamics (Vimp, <Pi>, Yarkowsky, PR drag…)
OUTPUTOUTPUT (Final size distriution, N. of families…)
Observational constraints
The MODEL
MBAs, Trojans, Hildas, KBOs
Size and velocity distribution of escaping fragments, cf, sf
Dp ρp,
cp, sp
Dt ρt, ct, st
Vimp
c = structure: porosity, rubble pile, monoliths..
s = spin rate
Simple analytic equations
FRAGMENTATION MODEL -1 THE DREAM
Benz-Aspahug, 1999: Q*D (D), fl
(Q*D , E) . Nf (Df, Q*
D , E) ??
FRAGMENTATION MODEL -2: THE SINERGY
Impact experiments
Scaling laws
HydrocodesAsteroid families
Size distribution of minor bodiesCraters on planets and asteroidsBinary asteroids
Meteorites
DYNAMICAL EFFECTS:
2) Resonances cause outflow from the belt
3) Dissipative forces (Yarkowsky, PR drag) (O’Brien & Greenberg, 2001): the small body tail problem.
Penco, Dell’Oro, La Spina, Paolicchi, Cellino, Campo Bagatin., in press.
1) Vi , <Pi> (Farinella, Davis, Dahlgren, Bottke, Marzari, Dell’Oro, Paolicchi, Greenberg, Vedder, Gil-Hutton…….)
Initial population guess
Time (yr)
Planetesimal accretion ( about 1 Myr)
Giant impacts – Mass depletion, stirring of orbital elements ( about 100-200 Myr)
Collisional evolution models (about 4.5 Gyr)
MBAs
Troj
ans
Resonance sweeping,
Endogenic dynamical
excitation
THE ‘CLASSICAL’ NUMERICAL MODEL:
1) Bodies distributed in size-bins
2) <pi> vimp input from the dynamics of the population
3) Montecarlo method: computation of representative collisions and distribution of new generated fragments in the bins (the fragmentation model is used here).4) Time evolution controlled by relative changes in each bin.
6) Tail control with interpolation (???)
5) Families are treated as sub-populations
PREDICTIONS OF THE MODEL THAT CAN BE COMPARED TO OBSERVATIONS (The Main Belt case)
1) Size distribution of Main Belt Asteroids
2) Number of families and their slope (Marzari and Davis, 1999)
3) Basaltic crust of Vesta (Davis et al. 1984)
4) Rotation rates (difficult to implement, physics not yet clear)
5) CRE ages of stony meteorites (O’Brien and Grenberg, 2001)
6) Fraction of rubble-piles among asteroids (Bagatin et al. 2001)
N(>D) = K D-b
0.4
1.5
Gaspra
20
200
Ida
-3.40
5
SDSS
-1.30
20
3Durda
-2.34
SDSS
-3.0040
PLS
-1.95
SIZE DISTRIBUTION
-2.70
Bumps, waves…. what is the origin?
1) Transition regimes in scaling laws or dishomogeneity
3) Different populations
S = 2.7 g cm-3 por: 30%C = 1.4 g cm-3 por: 40%
(from Britt et al. 2002: Ast III)
2) Small size cutoff (non-gravitational forces) ?? Maybe . too gradual to produce waves.
Dl (km) Model Observed N. asteroids
50 29 21 4.1 103
40 79 64 1.3 104
20 325 ? 8.2 104
10 503 ? 5.4 105
5 544 ? 3.2 106
Number of families vs. completeness limit.
Marzari et al. 1999
Nu m
b er o
f bod
ies
Diameter
1) COLLISIONAL EROSION
2) NO DYNAMICAL EROSION
VESTA: basaltic crust almost intact. The body was not disrupted over the solar system age.
Different populations and families
Yar
kovs
ky e
ffec
t, PR
dra
g
CPU time
MODEL
FUTURE DIRECTIONS:
Include all dynamical effects and handle the problem of the small body tail
Derive strong constraints on the primordial populations of minor bodies, study the history of families
Testing different fragmentation models and scaling laws while waiting for the dream to come true (The perfect fragmentation model)
– High shot repetition rate (1 shot / 25 min) – Velocity 2-5.5 km/s (200 m/s step) – Projectiles 0.4 - 3 mm– Target temperature control 150-370 K– 4 shadowgraphs up to 1 MHz– Shock accelerometers up to 200000g.
Resonant freq. 1.2 MHz
1) Guns:
FRAGMENTATION MODEL -3: LABORATORY EXPERIMENTS
2) Explosives Review: Holsapple et al. 2002 (Ast. III)