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Clustering Analysis as a Method of Auto-Classification and Its Application to the Search for Galaxy Chains in Two Dimensions

  • Z. G. Deng
  • X. Y. Xia
  • H. Arp
  • G. Börner
Part of the Ettore Majorana International Science Series book series (EMISS, volume 40)

Abstract

Filaments and lines of galaxies on the sky have been discussed in recent years. The present paper outlines a method for quantitatively testing the connected nature of these features. Comparison with Monte Carlo simulations give probability values that the features are real.

Two large scale alignments of galaxies in the sky are tested. In the region 7h < R.A. < 11h, 30° < Dec. < 65° filaments of galaxies of 3500 < cz0 < 5500 kms-1 and 4200 < cz0 < 5200 kms-1 are shown to be significant. The second field at 12h30m < R.A. < 15h30m, 35° < Dec. < 70° shows a string like structure recognized here for the first time for galaxies with redshifts 2300 < cz0 < 2800 kms-1.

Keywords

Monte Carlo Sampling Connected Structure Cluster Analysis Method Connected Nature Galaxy Distribution 
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

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Copyright information

© Plenum Press, New York 1989

Authors and Affiliations

  • Z. G. Deng
    • 1
    • 2
  • X. Y. Xia
    • 3
  • H. Arp
    • 1
  • G. Börner
    • 1
  1. 1.Max Planck Institut für AstrophysikGarching bei MunchenGermany
  2. 2.Dept. Physics, Graduate Sch.Academia SinicaBeijingPRC
  3. 3.Dept. PhysicsTianjin Normal UniversityTianjinPRC

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