K2 Photometry of RR Lyrae Stars

Bibcode
2018pas6.conf..114P
Plachy, Emese; Molnár, László; Bódi, Attila; Skarka, Marek; Juhász, Áron L.; Sódor, Ádam; Klagyivik, Péter; Szabó, Róbert
Bibliographical reference

The RR Lyrae 2017 Conference. Revival of the Classical Pulsators: from Galactic Structure to Stellar Interior Diagnostics. Proceedings of the meeting held 17-21 September, 2017 in Niepołomice, Poland. Proceedings of the Polish Astronomical Society, Vol. 6. Edited by R. Smolec, K. Kinemuchi, and R.I. Anderson, ISBN 978-83-938279-9-2, pp.114-118

Advertised on:
6
2018
Number of authors
8
IAC number of authors
1
Citations
2
Refereed citations
0
Description
Thousands of RR Lyrae stars have been observed by the Kepler space telescope so far. We developed a photometric pipeline tailored to the light variations of these stars, called the Extended Aperture Photometry (EAP). We present the comparison of our photometric solutions for Campaigns 0 through 6 with the other pipelines available, e.g., SAP/PDCSAP, K2P2, EVEREST, and others. We focus on the problems caused by instrumental effects and the detectability of the low-amplitude additional modes.
Type
Non-refereed

It may interest you

  • Non-refereed
    Convection, rotation, and magnetic activity of solar-like stars from asteroseismology
    During the last decade, our understanding of stellar physics and evolution has undergone a tremendous revolution thanks to asteroseismology. Space missions such as CoRoT, Kepler, K2, and TESS have already been observing millions of stars providing high-precision photometric data. With these data, it is possible to study the convection of stars
    Mathur, Savita

    Advertised on:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Citations
    0
  • Non-refereed
    Tales of stellar & binary co-evolution, told by stellar oscillations
    Stellar binarity and stellar oscillations are mostly seen and studied as two separate phenomena. Sometimes, one process is even complicating the analysis of the other beyond the liking of one or the other research community. However, the complete picture painted by the physical constraints provided by the combination of both processes represents a
    Beck, Paul G.

    Advertised on:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Citations
    0
  • Non-refereed
    The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data
    We present the Multimodal Universe, a new framework collating over 100 TB of multimodal astronomical data for its first release, spanning images, spectra, time series, tabular and hyper-spectral data. This unified collection enables a wide variety of machine learning (ML) applications and research across astronomical domains. The dataset brings
    Angeloudi, Eirini et al.

    Advertised on:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Citations
    0