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Dynamics of Celestial Bodies, 151 - 154 Contributed paper LOCAL DIFFUSION CHARACTERISTICS AND THE AGE OF VERITAS ASTEROID FAMILY B. NOVAKOVI ´ C 1 , K. TSIGANIS 2 and Z. KNE ˇ ZEVI ´ C 1 1 Astronomical Observatory, Volgina 7, 11060 Belgrade 38, Serbia E–mail: [email protected] E–mail: [email protected] 2 Department of Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece E–mail: [email protected] Abstract. Members of asteroid families, located in dynamically active regions of the Main Asteroid Belt, have been dispersed in the space of proper elements over time due to chaotic diffusion and non-gravitational perturbations. These mechanisms have changed the original shapes of families, produced in collisions, and consequently complicated physical studies of high-velocity collisions. Here we present a study of the local diffusion characteristics in the region of the (490) Veritas family. Using a Markov Chain Monte Carlo technique, we simulate the evolution of the family, under the combined action of (i) the Yarkovsky/YORP effects and (ii) chaotic diffusion, deriving also a refined estimate of its age. Our results reveal the complexity of the phase space, in the presence of multiple resonances. On the other hand, the results of our random walk model lead to conclusion that the so-called chaotic chronology method can provide reliable and accurate dating of the formation time of a dynamicaly active asteroid family, when local diffusion characteristics are used. 1. INTRODUCTION As was first noted by Hirayama (1918), on a set of few hundreds of asteroids, the orbital elements of asteroids form prominent groupings in the corresponding phase space. These groups, well known as asteroid families, are the result of asteroid col- lisions, which ejected fragments into heliocentric orbits with relative velocities much lower than their individual orbital speeds. To date, several tens of families have been discovered across the entire Asteroid Main Belt (e.g. Bendjoya & Zappal`a, 2002; Nesvorn´ y et al., 2006). Also, they have been found among the Trojans (Beaug´ e& Roig, 2001; Milani, 1993) and most recently in the Transneptunian region (Brown et al., 2007). To study asteroid families is very important for many reasons: they can be used to study the structure and composition of their parent bodies (e.g. Cellino et al. 2002), to study the outcomes of disruption events over a size range inaccessible in laboratory experiments (e.g. Michel et al., 2003; Durda et al., 2007) and to under- stand and calibrate the collisional history of the Asteroid Main Belt (Bottke et al., 2005). 151

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Page 1: LOCAL DIFFUSION CHARACTERISTICS AND THE AGE OF …publications.aob.rs/litohoro/pdf/20.pdf · Dynamics of Celestial Bodies, 151 - 154 Contributed paper LOCAL DIFFUSION CHARACTERISTICS

Dynamics of Celestial Bodies, 151 - 154 Contributed paper

LOCAL DIFFUSION CHARACTERISTICS AND

THE AGE OF VERITAS ASTEROID FAMILY

B. NOVAKOVIC1, K. TSIGANIS2 and Z. KNEZEVIC1

1Astronomical Observatory, Volgina 7, 11060 Belgrade 38, SerbiaE–mail: [email protected]

E–mail: [email protected]

2Department of Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, GreeceE–mail: [email protected]

Abstract. Members of asteroid families, located in dynamically active regions of the MainAsteroid Belt, have been dispersed in the space of proper elements over time due to chaoticdiffusion and non-gravitational perturbations. These mechanisms have changed the originalshapes of families, produced in collisions, and consequently complicated physical studies ofhigh-velocity collisions. Here we present a study of the local diffusion characteristics in theregion of the (490) Veritas family. Using a Markov Chain Monte Carlo technique, we simulatethe evolution of the family, under the combined action of (i) the Yarkovsky/YORP effectsand (ii) chaotic diffusion, deriving also a refined estimate of its age. Our results reveal thecomplexity of the phase space, in the presence of multiple resonances. On the other hand,the results of our random walk model lead to conclusion that the so-called chaotic chronologymethod can provide reliable and accurate dating of the formation time of a dynamicaly activeasteroid family, when local diffusion characteristics are used.

1. INTRODUCTION

As was first noted by Hirayama (1918), on a set of few hundreds of asteroids, theorbital elements of asteroids form prominent groupings in the corresponding phasespace. These groups, well known as asteroid families, are the result of asteroid col-lisions, which ejected fragments into heliocentric orbits with relative velocities muchlower than their individual orbital speeds. To date, several tens of families have beendiscovered across the entire Asteroid Main Belt (e.g. Bendjoya & Zappala, 2002;Nesvorny et al., 2006). Also, they have been found among the Trojans (Beauge &Roig, 2001; Milani, 1993) and most recently in the Transneptunian region (Brown etal., 2007). To study asteroid families is very important for many reasons: they canbe used to study the structure and composition of their parent bodies (e.g. Cellinoet al. 2002), to study the outcomes of disruption events over a size range inaccessiblein laboratory experiments (e.g. Michel et al., 2003; Durda et al., 2007) and to under-stand and calibrate the collisional history of the Asteroid Main Belt (Bottke et al.,2005).

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B. NOVAKOVIC, K. TSIGANIS and Z. KNEZEVIC

Using asteroid families to obtain such information is often not easy, due to diversereasons, many of which are related to the generally unknown age of these families.Thus, to study and understand asteroid families, one needs to know their ages.

Milani & Farinella (1994) have suggested that asteroid families, which reside inchaotic zones, can be approximately dated, using dynamical instability of their mem-bers. However, the method of chaotic chronology (MCH) in its original form allowsonly rough estimation of the age of the family. Recently, Tsiganis et al. (2007) in-troduced the improved version of MCH which uses statistical description of asteroidtransport to estimate the age of the family. They successfully applied this method tothe Veritas family and obtained the age of 8.7±1.7 Myr that is statistically indistin-guishable from the ”true” age of ∼8.3 Myr (see e.g. Nesvorny et al., 2003; Farley et al.,2006). Despite these improvements, last version of the MCH still has certain limits.For example, it is not clear how local diffusion characteristics, in the region occupiedby the family members, affect the diffusion speed, which is a critical parameter of thismethod. Also, it does not take into account Yarkovsky/YORP thermal forces, thuspreventing its application to the old families. Here we present a study of the localdiffusion characteristics in the region of Veritas family. Using these characteristics wedeveloped a model, based on Markov Chain Monte Carlo (MCMC) technique whichuses combined action of the Yarkovsky/YORP drift and chaotic diffusion, so as to beable to simulate evolution of the family and to estimate its age.

2. RANDOM WALK MODEL

To simulate the spreading of the family and to determine its age, the MCMC tech-nique (e.g. Berg, 2004) is used. In this type of simulation random walkers can changetheir position in the 3-D (ap, J1, J2) space, where ap is the semi-major axis and J1

and J2 the two actions, related to the eccentricity and inclination of the orbit. Al-though we suppose there is no macroscopic diffusion in proper semi-major axis, therandom walkers can change their position in this direction due to the Yarkovsky ef-fect. The random walkers are initially placed in the region presumably occupied bythe real family members, immediately after the family-forming break-up. Within atime interval dt, each body undergoes a small ‘jump’ in ap, J1 and J2, according tothe MCMC rules.

The entire phase space occupied by the Veritas family is divided in small cells,using a moving window. In each cell the diffusion coefficients are calculated for bothactions J1 ∼ 1

2

√(ap/aJ)e2

p and J2 ∼ 12

√(ap/aJ)sin2Ip (aJ denotes Jupiter’s semi-

major axis). The cells partially overlap, which means that some bodies are commonto more than one cell. In our MCMC simulations, the values of D(J1) and D(J2),used to calculate the jump length, are:

D(Ji) =dR

dL + dRDLi +

dL

dL + dRDRi , (1)

where dL and dR denote the distance (in J-space) of the two nearest cells (‘L’eftand ‘R’ight) and DL and DR denote the values of the diffusion coefficient in each ofthese cells. The evolution of the semi-major axis of a body, due to the Yarkovskyeffect, is described by the following equation (e.g. Vokrouhlicky, 1999; Farinella &

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LOCAL DIFFUSION CHARACTERISTICS AND THE AGE OF VERITAS ASTEROID FAMILY

Vokrouhlicky, 1999):da

dt= k1cosγ + k1sin

2γ (2)

where coefficients k1 and k2 depend on parameters that describe physical and thermalcharacteristics of the asteroid, while γ denotes the obliquity of the asteroid’s rotationaxis. This is a simplified model, which assumes that asteroid moves on a circularorbit, and thus linearized analysis can be used, to describe the diffusion of heat inthe asteroid’s surface layers. The obliquity (γ) and rotational angular velocity (ω)undergo YORP evolution, according to

dt= f(γ), (3)

dt=

g(γ)ω

(4)

(e.g. Capek & Vokrouhlicky, 2004). In the above equations, the functions f and gdenote the median strength of the YORP torque, which depends on the asteroid’ssurface thermal conductivities (Capek & Vokrouhlicky, 2004).

3. RESULTS AND DISCUSSIONS

We generated a uniform distribution of ∼ 25, 000 fictitious bodies in osculating ele-ments space, in the region occupied by the real Veritas family members. The orbitsof these bodies were integrated using the ORBIT9 integrator (version 9e), for a timespan of 10 Myr. The dynamical model used in all integrations included the four majorplanets (Jupiter to Neptune) as perturbing bodies. The indirect effect of the innerplanets was accounted for by performing a barycentric correction to the initial condi-tions. Mean elements were computed on-line, by applying digital filtering. Then, foreach body, the time series of the analytical proper elements were calculated (Milani& Knezevic 1990,1994). Synthethic proper elements (Knezevic & Milani, 2000) werecalculated as well.

Here we will focus on the subset of the Veritas family that resides in the region of the(5,-2,-2) three-body mean motion resonance. This is by far the most chaotic resonance,

(a) (b)

Figure 1: Values of the diffusion coefficients D(J1) and D(J2), for bodies that resideinside the (5 -2 -2) resonance, as a function of position in the (J1,J2) plane.

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B. NOVAKOVIC, K. TSIGANIS and Z. KNEZEVIC

and also contains the most numerous subset of chaotic members. The minimum valuesof the diffusion coefficients, calculated as a function of position in (J1,J2) plane,are D(J1,min) = (0.60 ± 0.01)×10−14 yr−1 and D(J2,min) = (0.63 ± 0.02)×10−14

yr−1, while the maximum values are D(J1,max) = (1.66 ± 0.02)×10−14 yr−1 andD(J2,max) = (2.31 ± 0.03)×10−14 yr−1. The variation of these quantities (see Fig.1) reveals the complexity of the phase space, but also the importance of using localdiffusion coefficients in the MCH.

Using our model we estimated the time needed for the family members to spreadfrom an initial distribution to the presently observed one. This gives us the age ofthe Veritas family, τ = (8.7±1.4) Myr. This result is in very good agrement with theone of τ = (8.3±0.5) Myr, obtained by Nesvorny et al. (2003). Also, it is practicallythe same as that obtained by Tsiganis et al. (2007) (τ = 8.7±1.7). We note that,although our error estimation is more conservative, the error value is however smallerthan the one obtained by Tsiganis et al. (2007). Given these results, we believe thatwe have presented here a more advanced version of the MCH that could be used todate asteroid families which reside in dynamically active regions of the Main Belt.

Acknowledgements

B.N. and Z.K. acknowledges support by the Ministry of Science and TechnologicalDevelopment of the Republic of Serbia through the project No 146004.

References

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Binzel (eds.), Asteroids III, University of Arizona Press, Tucson, 613.Berg, A. B.: 2004, Markov Chain Monte Carlo Simulations and Their Statistical Analysis,

World Scientific, Singapore.Bottke, W. F., Durda, D.D., Nesvorny, D., Jedicke, R., Morbidelli, A., Vokrouhlicky, D.,

Levison, H. F.: 2005, Icarus, 179, 63Brown, M. E., Barkume, K. M., Ragozzine, D., Schaller, E. L.: 2007, Nature, 446, 294.Cellino, A., Bus, S. J., Doressoundiram, A., Lazzaro, D.: 2002, in: W. F. Bottke Jr., A.

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Capek, D., Vokrouhlicky, D.: 2004, Icarus, 172, 526.Durda, D. D., Bottke, W. F., Nesvorny, D., Enke, B. L., Merline, W. J., Asphaug, E.,

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