Asteroid Dynamical Families: a Reliability Test for Two Identification Methods

Details Asteroid Dynamical Families: a Reliability Test for Two Identification Methods Asteroid Dynamical Families: a Reliability Test for Two Identification Methods

May 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993a%26a...272..651b&link_type=abstract

Astronomy and Astrophysics, vol. 272, 651-670. Article.

Astronomy and Astrophysics

Astrophysics

9

Minor Planets, Methods: Numerical, Asteroids, Numerical Methods, Techniques, Classification, Simulation, Asteroid Families, Theoretical Studies, Asteroid Belt, Calculations, Models, Analysis, Distribution, Velocity, Parameters, Orbital Elements, Dynamics, Parent Bodies

Scientific paper

Since a couple of years the asteroid families are under the light of a renewed interest. This is due to the simultaneous improvement of the techniques of proper elements computation and of the methods of classification. Recently, two different cluster analysis methods (Zappalà et al. 1990; Bendjoya et al. 1991) have provided two very similar lists of asteroid families. This has brought a renewed confidence on the reliability of asteroid families classification. Since a new set of improved proper elements is now available (Milani & Knežević 1992), the idea of the present work is to test the two identification methods by means of artificially generated families in order to gain an insight into their limitations and to possibly develop improved strategies for future analyses. Different cases have been envisaged in order to study the effectiveness of the methods as a function of increasing background densities and of the spread of the families. The ability of the methods to detect peculiar features such as filaments or to separate two close families has also been tested. The number of interlopers has been determined in each case in order to evaluate their relative amount. While some improvements to the adopted procedures are suggested by the numerical tests, the results presented in the present paper are encouraging and allow us to be confident about the reliability of our previous family lists, as well as about the expected performances of the methods in future applications.

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