Statistics
Scientific paper
Oct 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995sosyr..29..382v&link_type=abstract
Solar System Research, Vol. 29, No. 5, p. 382 - 391
Statistics
Meteor Streams: Near-Earth Objects, Meteor Streams: Statistics, Meteor Streams: Methods Of Observation, Meteor Streams: Orbits
Scientific paper
A technique for the selection of meteor streams from large samples is presented. The technique was developed for analysis of a database of more than 100000 meteor orbits, recorded at the Khar'kov Technical University of Radio Electronics from 1974 - 1978. The technique is based on the known algorithm for cluster analysis FOREL and uses the most general principles of data analysis: the random, exhaustive selection of the cluster centers (the mean orbits of hypothetical streams) and the calculation of several variants of taxonomy at each step of the search and recurrent procedure for removal of accidental groups of orbits. 4156 clusters with filling factors N > 6 were selected from the sample of 119236 radiometeor orbits, with 3118 of them having N > 10. Clusters with the largest number of orbits were reliably identified with the known meteor streams. It is shown that the distribution of streams and associations in a number of meteors is hyperbolic and can be described by the Zipf-Pareto law with a characteristic parameter close to unity; that is, it formally coincides with the asymptote, which determines the convergence to a stable non-Gaussian Cauchy distribution. Distributions of the parameters of sporadic and stream meteors are presented.
Kashcheev B. L.
Podolyaka V. A.
Voloshchuk Yu. I.
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