[en] Context. In low-mass stars, the connection between magnetic activity, rotation period, and age provides key insights into the functioning of dynamos. Fully understanding the activity-rotation-age relationship requires access to stars with precise fundamental parameters, measured rotation periods, and reliable magnetic activity indicators (e.g. X-ray luminosity). Thanks to space-based photometry, asteroseismology is now the leading method for determining stellar parameters with unprecedented precision and accuracy. The best-characterised solar-like stars compose the Kepler LEGACY sample, with the highest quality asteroseismic data for 66 stars, most of which have measured rotation periods. In the X-ray band, these stars were observed by the ROentgen Survey with an Imaging Telescope Array (eROSITA) telescope on the Russian Spektrum-Roentgen-Gamma (SRG) satellite in the course of its all-sky survey. Aims. We reviewed different components of the stellar activity–rotation–age relationship using the largest sample of solar-like stars with highly accurate fundamental parameters from asteroseismology, along with their measured rotation periods and X-ray luminosities. Methods. We cross-correlated the Kepler LEGACY sample with the SRG/eROSITA source catalogue, finding X-ray detections for 13 of them. We derived their fundamental parameters using the Forward and Inversion COmbination (FICO) procedure and revisited widely studied activity-age and activity-rotation relationships by consistently incorporating our subsample of 13 stars with literature samples. Results. By implementing revised activity-rotation-age relationships in a star-planet interaction (SPI) code to compute the X-ray luminosity tracks and by comparing the results with observations, we found an improved agreement for seven stars of our subsample. We explored the effect of the revised relationships on the mass loss of planets in the radius valley, finding a modest impact on planet size distributions. Conclusions. A larger and more varied sample of stars with asteroseismically characterised parameters, rotation period, and activity indicators is needed to accurately determine the multiple components of the activity-rotation-age relationship.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Pezzotti, Camilla ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR)
Bétrisey, J. ; Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
Buldgen, Gaël ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Astrophysique stellaire théorique et astérosismologie
Gilfanov, M. ; Space Research Institute, Russian Academy of Sciences, Moscow, Russian Federation ; Max Planck Institute for Astrophysics, Germany
Bikmaev, I.; Kazan Federal University, Kazan, Russian Federation
Sunyaev, R.; Space Research Institute, Russian Academy of Sciences, Moscow, Russian Federation ; Max Planck Institute for Astrophysics, Germany
Işık, E. ; Max-Planck-Institut für Sonnensystemforschung, Göttingen, Germany
Gosset, Eric ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Groupe d'astrophysique des hautes énergies (GAPHE)
Wright, N.J. ; Astrophysics Research Center, Keele University, Keele, United Kingdom
Language :
English
Title :
The stellar activity-rotation-age relationship under the lens of asteroseismology
This work used data of eROSITA telescope onboard SRG observatory. The SRG observatory was built by Roskosmos in the interests of the Russian Academy of Sciences represented by its Space Research Institute (IKI) in the framework of the Russian Federal Space Program, with the participation of the Deutsches Zentrum für Luft- und Raumfahrt (DLR). The SRG/eROSITA X-ray telescope was built by a consortium of German Institutes led by MPE, and supported by DLR. The SRG spacecraft was designed, built, launched and is operated by the Lavochkin Association and its subcontractors. The science data are downlinked via the Deep Space Network Antennae in Bear Lakes, Ussurijsk, and Baykonur, funded by Roskosmos. The eROSITA data used in this work were processed using the eSASS software system developed by the German eROSITA consortium and proprietary data reduction and analysis software developed by the Russian eROSITA Consortium. CP thanks the Belgian Federal Science Policy Office (BELSPO) for the financial support in the framework of the PRODEX Program of the European Space Agency (ESA) under contract number 4000141194. JB acknowledges funding from the SNF Postdoc.Mobility grant no. P500PT_222217 (Impact of magnetic activity on the characterisation of FGKM main-sequence host-stars). MG, IB acknowledge support by the RSF grant N 23-12-00292. GB is funded by the Fonds National de la Recherche Scientifique (FNRS).
Commentary :
Accepted for publication on Astronomy & Astrophysics
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