EPJ Web of Conferences
Volume 101, 2015The Space Photometry Revolution – CoRoT Symposium 3, Kepler KASC-7 Joint Meeting
|Number of page(s)||2|
|Section||Session 6 – Posters|
|Published online||23 September 2015|
Patterns, an efficient way to analyse the p-mode content in rapidly rotating stars
1 Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal
2 Institut de Recherche en Astrophysique et Planètologie (IRAP), CNRS : UMR5277
3 South African Astronomical Observatory (SAAO), P. O. Box 9 Observatory 7935 Cape Down, South Africa
4 School of Physics and Astronomy, University of Birmingham (UoB), Edgbaston, Birmingham, B15 2TT, United Kingdom
5 Instituto de Astrofísica de Andalucía (CSIC), CP3004, Granada, Spain
a e-mail: email@example.com. AGH acknowledges support from the EC Project SPACEINN (FP7-SPACE2012-312844), from project PTDC/CTE-AST/098754/2008 from FCT (Portugal) and from FCT-MEC (Portugal) through a fellowship (SFRH/BPD/80619/2011).
Published online: 23 September 2015
High precision photometric observations from space has led to the detection of hundreds of frequencies in the light curves of δ Scuti pulsators. In this work, we analyzed a sample of Kepler δ Sct stars to search for frequency patterns in the p-mode regime. To avoid g-modes, we looked at the mode density histogram (MDH). We then used the Fourier transform technique (FT), histograms of frequency differences (HFD) and Echelle diagrams (ED) to find periodicities in the frequency content. We compared the results with those expected for SCF rotating models  with the aim of identifying large separations and rotational splittings.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.