Hostname: page-component-7bb8b95d7b-5mhkq Total loading time: 0 Render date: 2024-09-06T18:09:36.812Z Has data issue: false hasContentIssue false
  • English
  • Français

The Use of Principal Components Analysis in Analysing Variable Star Data

Published online by Cambridge University Press:  12 April 2016

S. M. Kanbur ,
D. Iono ,
N. A. Tanvir  and
M. A. Hendry
S. M. Kanbur
Affiliation:
Department of Physics and Astronomy, University of Massachusetts, Amherst, MA, USA
D. Iono
Affiliation:
Department of Physics and Astronomy, University of Massachusetts, Amherst, MA, USA
N. A. Tanvir
Affiliation:
Department of Physics and Astronomy, University of Central Hertfordshire, UK
M. A. Hendry
Affiliation:
Department of Physics and Astronomy, University of Glasgow, UK

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We describe the technique of Principal Components Analysis (PCA) as applied to the analysis of variable star data. It is shown that PCA is an efficient way of describing light curve structure.

Type
Part 1. Large Scale Surveys: Present and Future
Information
International Astronomical Union Colloquium , Volume 176: The Impact of Large-Scale Surveys on Pulsating Star Research , 2000 , pp. 56 - 59
Copyright
Copyright © Astronomical Society of the Pacific 2000

References

Berdnikov, L.N. & Turner, D.G. 1995, Astron. Lett., 21, 717 Google Scholar
Moffett, T.J. & Barnes, T.G. 1984, ApJS, 55, 389 CrossRefGoogle Scholar
Petersen, J.O. 1986, A&A, 170, 59 Google Scholar