Issue |
A&A
Volume 679, November 2023
|
|
---|---|---|
Article Number | A94 | |
Number of page(s) | 21 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/202346890 | |
Published online | 16 November 2023 |
Planets around evolved intermediate-mass stars
III. Planet candidates and long-term activity signals in six open clusters★,★★
1
Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP,
Rua das Estrelas,
4150-762
Porto, Portugal
e-mail: elisa.delgado@astro.up.pt
2
Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto,
Rua do Campo Alegre,
4169-007
Porto, Portugal
3
INAF – Osservatorio Astrofisico di Arcetri,
Largo E. Fermi 5,
50125
Firenze, Italy
4
School of Physics & Astronomy, University of Birmingham,
Edgbaston, Birmingham,
B15 2TT, UK
5
Observatoire de Genève, Université de Genève,
51 ch. des Maillettes,
1290
Sauverny, Switzerland
Received:
12
May
2023
Accepted:
1
August
2023
Context. We carried out a long-term campaign spanning 17 year to obtain high-precision radial velocities (RVs) with the HARPS spectrograph for a large sample of evolved stars in open clusters.
Aims. The aim of this work is to search for planets around evolved stars, with a special focus on stars more massive than 2 M⊙ in light of previous findings that show a drop in planet occurrence around stars above this mass.
Methods. We used kima – a package for Bayesian modelling of RV and activity data with Gaussian process capability and Nested sampling for model comparison – to find the Keplerian orbits most capable of explaining the periodic signals observed in RV data, which have semiamplitudes of between 75 and 500 m s−1. We also studied the variation of stellar activity indicators and photometry in order to discard stellar signals mimicking the presence of planets.
Results. We present a planet candidate in the open cluster NGC 3680 that orbits the 1.64 M⊙ star No. 41. The planet has a minimum mass of 5.13 MJ and a period of 1155 days. We also present periodic and large-amplitude RV signals of probable stellar origin in two more massive stars (5.84 and 3.05 M⊙ in the clusters NGC 2345 and NGC 3532). Finally, using new data, we revise the RV signals of the three stars analysed in our previous paper. We confirm the stellar origin of the signals observed in NGC 2423 No. 3 and NGC 4349 No. 127. On the other hand, the new data collected for IC4651 No. 9122 (1.79 M⊙) seem to support the presence of a bona fide planet of 6.22 MJ at a period of 744 days, although more data will be needed to discard a possible correlation with the CCF-FWHM.
Conclusions. The targets presented in this work showcase the difficulties in interpreting RV data for evolved massive stars. The use of several activity indicators (CCF-FWHM, CCF-BIS, Hα), photometry, and long-term observations (covering several orbital and stellar rotational periods) is required to discern the true nature of the signals. However, in some cases, all this information is insufficient, and the inclusion of additional data – such as the determination of magnetic field variability or RV points in the near-infrared – will be necessary to identify the nature of the discovered signals.
Key words: planetary systems / stars: evolution / planets and satellites: physical evolution / open clusters and associations: general
Tables of the radial velocities are available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/679/A94
Based on observations collected at the La Silla Observatory (Chile) with the CORALIE spectrograph mounted on the 1.2 m Swiss telescope (program 713) and with ESO-HARPS/3.6m (runs ID 075.C-0140, 076.C-0429, 078.C-0133, 079.C-0329, 080.C-0071, 081.C-0119, 082.C-0333, 083.C-0413, 091.C-0438, 092.C-0282, 094.C-0297, 099.C-0304, 0100.C-0888, 0101.C-0274, 0102.C-0812, 0104.C-0358, 105.20AZ.001, 106.21DH, 108.22LE.001) and with ESO-UVES/VLT at the Cerro Paranal Observatory (run 079.C-0131).
© The Authors 2023
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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