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Advanced Tools for Exploring Large EB Datasets

Published online by Cambridge University Press:  23 April 2012

E. J. Devinney
Affiliation:
Villanova University, Dept. of Astronomy & Astrophysics, 800 Lancaster Ave, Villanova PA 19085, USA; email: [email protected]
A. Pršsa
Affiliation:
Villanova University, Dept. of Astronomy & Astrophysics, 800 Lancaster Ave, Villanova PA 19085, USA; email: [email protected]
E. F. Guinan
Affiliation:
Villanova University, Dept. of Astronomy & Astrophysics, 800 Lancaster Ave, Villanova PA 19085, USA; email: [email protected]
M. Degeorge
Affiliation:
Villanova University, Dept. of Astronomy & Astrophysics, 800 Lancaster Ave, Villanova PA 19085, USA; email: [email protected]
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Abstract

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Thanks to OGLE, Kepler, CoRoT and planned new ambitious survey projects, the eclipsing binary (EB) community is beginning to experience a long-predicted data deluge. Beyond the analysis of the many fascinating individual objects yielded by these programs, these complete datasets themselves should yield further insights. Because objects in such datasets are characterized by many parameters, tools that assist in understanding high-dimensional data are acquiring increasing relevance. Chiefly among these are new Advanced Visualization (AV) tools and various methods of clustering data, both approaches complementing each other naturally. We illustrate the use of these tools as applied to OGLE II LMC EB data and respective EBAI light curve solutions.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2012

References

Prša, A., et al. , 2008, ApJ, 687, 542Google Scholar