Issue |
A&A
Volume 663, July 2022
|
|
---|---|---|
Article Number | A101 | |
Number of page(s) | 8 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/202243497 | |
Published online | 20 July 2022 |
The detection of transiting exoplanets by Gaia
1
School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University,
Tel Aviv
6997801, Israel
e-mail: aviadpan@mail.tau.ac.il
2
Porter School of the Environment and Earth Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University,
Tel Aviv
6997801, Israel
3
INAF – Osservatorio di Astrofisica e Scienza dello Spazio di Bologna,
via Piero Gobetti 93/3,
40129
Bologna, Italy
4
Department of Astronomy, University of Geneva,
Chemin Pegasi 51,
1290
Versoix, Switzerland
5
Institute of Astronomy, University of Cambridge,
Madingley Road,
Cambridge
CB3 0HA, UK
6
Leibniz-Institut für Astrophysik Potsdam (AIP),
An der Sternwarte 16,
14482
Potsdam, Germany
7
Sednai Sàrl,
Geneva, Switzerland
8
Department of Particle Physics and Astrophysics, Weizmann Institute of Science,
Rehovot
7610001, Israel
Received:
8
March
2022
Accepted:
19
May
2022
Context. The space telescope Gaia is mainly dedicated to performing high-precision astrometry but is also used to perform spectroscopy and epoch photometry, which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far have finally matured enough to allow the detection of some exoplanets.
Aims. In order to fully exploit the scientific potential of Gaia, we search its photometric data for the signatures of exoplanetary transits.
Methods. The search relies on a version of the box-fitting least-squares method, applied to a set of stars prioritized by machine-learning classification methods. An independent photometric validation was obtained using the public full-frame images of TESS. In order to validate the first two candidates, radial-velocity follow-up observations were performed using the spectrograph PEPSI of the Large Binocular Telescope.
Results. The radial-velocity measurements confirm that two of the candidates are indeed hot Jupiters. Thus, they are the first exoplanets detected by Gaia: Gaia-1b and Gaia-2b.
Conclusions. Gaia-1b and Gaia-2b demonstrate that the approach presented in this paper is indeed effective. This approach will be used to assemble a set of additional exoplanet candidates, to be released in the third Gaia data release, ensuring better fulfillment of the exoplanet detection potential of Gaia.
Key words: methods: data analysis / planets and satellites: detection / techniques: photometric / techniques: radial velocities
© A. Panahi et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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