A synthetic sample of short-cadence solar-like oscillators for TESS

Warrick H. Ball, William J. Chaplin, Mathew Schofield, Andrea Miglio, Diego Bossini, Guy R. Davies, Léo Girardi

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
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Abstract

NASA’s Transiting Exoplanet Survey Satellite (TESS) has begun a two-year survey of most of the sky, which will
include light curves for thousands of solar-like oscillators sampled at a cadence of two minutes. To prepare for this
steady stream of data, we present a mock catalog of light curves, designed to realistically mimic the properties of the
TESS sample. In the process, we also present the first public release of the asteroFLAG Artificial DataSet Generator,
which simulates light curves of solar-like oscillators based on input mode properties. The targets are drawn from a
simulation of the Milky Way’s populations and are selected in the same way as TESS’s true Asteroseismic Target List.
The light curves are produced by combining stellar models, pulsation calculations and semi-empirical models of solarlike oscillators. We describe the details of the catalog and provide several examples. We provide pristine light curves to
which noise can be added easily. This mock catalog will be valuable in testing asteroseismology pipelines for TESS and
our methods can be applied in preparation and planning for other observatories and observing campaigns.
Original languageEnglish
Article number34
Number of pages10
JournalThe Astrophysical Journal
Volume239
Issue number2
DOIs
Publication statusPublished - 18 Dec 2018

Bibliographical note

14 pages, 6 figures, accepted for publication in ApJS. Archives containing the mock catalogue are available at https://doi.org/10.5281/zenodo.1470155 and the pipeline to produce it at https://github.com/warrickball/s4tess . The first public release of the asteroFLAG Artificial Dataset Generator v3 (AADG3) is described at https://warrickball.github.io/AADG3/

Keywords

  • astro-ph.SR
  • stars: oscillations (including pulsations)

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