Whole Earth Telescope Observations of the DAV EC14012-1446

Chapter
Part of the Astrophysics and Space Science Proceedings book series (ASSSP, volume 31)

Abstract

We report on analysis of 308.3 h of high-speed photometry targeting the pulsating DA white dwarf EC14012-1446. The data were acquired by the Whole Earth Telescope (WET) during XCOV28 in 2008. The Fourier transform of the complete light curve contains 19 independent frequencies distributed in 13 pulsation modes, with dominant peaks at 1,633.9, 1,887.4, and 2,504.9 μHz, as well as numerous combination frequencies. Our analysis reveals that these identified frequencies are consistent with a series of consecutive modes of spherical degree l = 1 with an average period spacing of 41 s. Building on this foundation, we calculate preliminary nonlinear fits to high signal-to-noise light curves with the goal of extracting EC14012-1446’s convective parameters τ0 and N.

Keywords

Light Curve Light Curf Convection Zone Convective Parameter Pulsation Cycle 
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.

Notes

Acknowledgements

Space limitations force us to limit the number of individual authors who contributed to this work. These WET observations could not happen without the enthusiastic support of everyone in the network.

References

  1. 1.
    Brickhill, A.J.: MNRAS 259, 519 (1992)ADSGoogle Scholar
  2. 2.
    Montgomery, M.H., Provencal, J.L., et al.: ApJ 716, 84 (2010)ADSCrossRefGoogle Scholar
  3. 3.
    Provencal, J.L.: ApJ 751, 91 (2012)ADSCrossRefGoogle Scholar
  4. 4.
    Stello, D., et al.: ApJ 738, 28 (2011)CrossRefGoogle Scholar
  5. 5.
    Stobie, R.S., et al.: MNRAS 272, L21 (1995)ADSGoogle Scholar
  6. 6.
    Winget, D.E., et al.: ApJ 430, 839 (1994)ADSCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.DARCUniversity of DelawareNewarkUSA
  2. 2.Delaware Asteroseismic Research CenterNewarkUSA

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