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Solar Physics

, Volume 156, Issue 1, pp 131–143 | Cite as

Decameter solar type III bursts: Data classification with use of cluster analysis

  • N. A. Stepanova
  • L. L. Bazelyan
  • E. P. Abranin
  • A. I. Brazhenko
  • S. A. Sapogov
  • Ya. G. Tzybko
Article

Abstract

The many-parametric data on decametric type III bursts containing more than 1000 events were classified with use of cluster analysis, i.e., the pattern recognition procedure. For the classification such parameters have been used as intensity, duration and degree of circular polarization derived from burst time profiles. The automatic classification has resulted in division of daily samples of type III bursts into classes of bursts, more homogeneous statistically, which can be associated with different components of type III radiation distinguished by their physical origin. For the classes obtained, statistically reliable dependences of the mean intensity on source position can be found which allow one to conclude about the source structure and evolution, as well as about the characteristics defined by a burst generation mechanism and propagation effects.

Keywords

Cluster Analysis Pattern Recognition Propagation Effect Data Classification Generation Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Abranin, E. P., Bazelyan, L. L., and Brazhenko, A. I.: 1987,Izv. VUZov, Radiophyzika 50, 619.Google Scholar
  2. Abranin, E. P., Bazelyan, L. L., Brazhenko, A. I., Stepanova, N. A., and Tzybko, Ya. G.: 1992, ‘The Spectral Composition and Directivity of Decameter Radiation of Type III Noise Storm, preprint No. 53 of Institute of Radio Astronomy, Kharkov.Google Scholar
  3. Dulk, G. A. and Suzuki, S.: 1980,Astron. Astrophys. 88, 203.Google Scholar
  4. Ipatova, L. P. and Yasnov, L. V.: 1993,Soln. Dann. No. 4, 58.Google Scholar
  5. Melrose, D. B. and Sy, W. N.: 1972,Australian J. Phys. 72, 387.Google Scholar
  6. Stepanova, N. A.: 1988, inProc. All-Union Conf. on Radiophys. Invest. of Solar System, October 1988, Simpheropol, U.S.S.R., p. 72.Google Scholar
  7. Stepanova, N. A.: 1992,Kosmichesk. nauka i tekhn. No. 7, p. 16.Google Scholar
  8. Solnechnye Dannye: 1984, No. 6, p. 2.Google Scholar
  9. Tou, J. T. and Gonzales, R. C.: 1974,Pattern Recognition Principles, Addison-Wesley Publ., London.Google Scholar
  10. Vigdorchik, V. I. and Stepanova, N. A.: 1988,Zh. Prikladnoi Mech. i Techn. Phys., No. 6, 3.Google Scholar
  11. Zheleznyakov, V. V. and Zaytsev, V. V.: 1970,Astron. Zh. 47, 50 and 308.Google Scholar

Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • N. A. Stepanova
    • 1
  • L. L. Bazelyan
    • 1
  • E. P. Abranin
    • 1
  • A. I. Brazhenko
    • 1
  • S. A. Sapogov
    • 2
  • Ya. G. Tzybko
    • 3
  1. 1.Institute of Radio Astronomy of the Ukrainian Academy of SciencesKharkovUkraine
  2. 2.Kharkov State UniversityUkraine
  3. 3.Radiophysical Research InstituteNizhnyj NovgorodRussia

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