Astrometry; Binaries: visual; Stars: fundamental parameters; Stars: kinematics and dynamics; Stars: low-mass; Binaries:visual; Dwarf binaries; Evolutionary models; Isochrones; Orbital parameters; Orbitals; Star kinematics and dynamics; Stars: low mass; Stars:fundamental parameters; Astronomy and Astrophysics; Space and Planetary Science; astro-ph.SR; astro-ph.EP
Abstract :
[en] Young M-type binaries are particularly useful for precise isochronal dating by taking advantage of their extended pre-main sequence evolution. Orbital monitoring of these low-mass objects becomes essential in constraining their fundamental properties, as dynamical masses can be extracted from their Keplerian motion. Here, we present the combined efforts of the AstraLux Large Multiplicity Survey, together with a filler sub-programme from the SpHere INfrared Exoplanet (SHINE) project and previously unpublished data from the FastCam lucky imaging camera at the Nordical Optical Telescope (NOT) and the NaCo instrument at the Very Large Telescope (VLT). Building on previous work, we use archival and new astrometric data to constrain orbital parameters for 20 M-type binaries. We identify that eight of the binaries have strong Bayesian probabilities and belong to known young moving groups (YMGs). We provide a first attempt at constraining orbital parameters for 14 of the binaries in our sample, with the remaining six having previously fitted orbits for which we provide additional astrometric data and updated Gaia parallaxes. The substantial orbital information built up here for four of the binaries allows for direct comparison between individual dynamical masses and theoretical masses from stellar evolutionary model isochrones, with an additional three binary systems with tentative individual dynamical mass estimates likely to be improved in the near future. We attained an overall agreement between the dynamical masses and the theoretical masses from the isochrones based on the assumed YMG age of the respective binary pair. The two systems with the best orbital constrains for which we obtained individual dynamical masses, J0728 and J2317, display higher dynamical masses than predicted by evolutionary models.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Calissendorff, Per ; Department of Astronomy, University of Michigan, Ann Arbor, United States ; Department of Astronomy, Stockholm University, Stockholm, Sweden
Janson, Markus; Department of Astronomy, Stockholm University, Stockholm, Sweden
Rodet, Laetitia; Cornell Center for Astrophysics and Planetary Science, Department of Astronomy, Cornell University, Ithaca, United States
Köhler, Rainer; The Chara Array of Georgia State University, Mount Wilson Observatory, Mount Wilson, United States
Bonnefoy, Mickaël; University of Grenoble Alpes, Cnrs, Ipag, Grenoble, France
Brandner, Wolfgang; Max Planck Institute for Astronomy, Heidelberg, Germany
Brown-Sevilla, Samantha; Max Planck Institute for Astronomy, Heidelberg, Germany
Chauvin, Gaël; University of Grenoble Alpes, Cnrs, Ipag, Grenoble, France ; Unidad Mixta Internacional Franco-Chilena de Astronomía, CNRS/INSU Umi 3386, Departamento de Astronomía, Universidad de Chile, Santiago, Chile
Delorme, Philippe; University of Grenoble Alpes, Cnrs, Ipag, Grenoble, France
Desidera, Silvano; Inaf - Osservatorio Astronomico di Padova, Padova, Italy
Durkan, Stephen; Department of Astronomy, Stockholm University, Stockholm, Sweden ; Astrophysics Research Center, Queen's University Belfast, Belfast, United Kingdom
Fontanive, Clemence; Center for Space and Habitability, University of Bern, Bern, Switzerland
Gratton, Raffaele; Inaf - Osservatorio Astronomico di Padova, Padova, Italy
Hagelberg, Janis; Départment d'Astronomie de l'Université de Genève, Versoix, Switzerland
Henning, Thomas; Max Planck Institute for Astronomy, Heidelberg, Germany
Hippler, Stefan; Max Planck Institute for Astronomy, Heidelberg, Germany
Lagrange, Anne-Marie; University of Grenoble Alpes, Cnrs, Ipag, Grenoble, France ; Lesia, Observatoire de Paris, Université Psl, Cnrs, Sorbonne Université, Université de Paris, Meudon, France
Langlois, Maud; Cral, Umr 5574, Cnrs, Université de Lyon, Ens, Saint-Genis-Laval, France ; Aix-Marseille Univ., Cnrs, Cnes, Lam, Marseille, France
Lazzoni, Cecilia; Inaf - Osservatorio Astronomico di Padova, Padova, Italy
Maire, Anne-Lise ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR) ; Max Planck Institute for Astronomy, Heidelberg, Germany
Messina, Sergio; Inaf - Osservatorio Astrofisico di Catania, Catania, Italy
Meyer, Michael; Department of Astronomy, University of Michigan, Ann Arbor, United States
Möller-Nilsson, Ole; Départment d'Astronomie de l'Université de Genève, Versoix, Switzerland
Rabus, Markus; Departamento de Matemática y Física Aplicadas, Facultad de Ingeniería, Universidad Católica de la Santísima Concepción, Concepción, Chile
Schlieder, Joshua; Nasa Goddard Space Flight Center, Greenbelt, United States
Vigan, Arthur; Aix-Marseille Univ., Cnrs, Cnes, Lam, Marseille, France
Wahhaj, Zahed; European Southern Observatory, Santiago, Chile
Wildi, Francois; Départment d'Astronomie de l'Université de Genève, Versoix, Switzerland
Zurlo, Alice; Aix-Marseille Univ., Cnrs, Cnes, Lam, Marseille, France ; Núcleo de Astronomía, Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Santiago, Chile ; Escuela de Ingeniería Industrial, Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Santiago, Chile
The authors thank the anonymous referee for the comments which helped improve the paper. This project received funding by the Swedish Royal Academy (KVA). M.J. gratefully acknowledges funding from the Knut and Alice Wallenberg foundation. S.D. gratefully acknowledges support from the Northern Ireland Department of Education and Learning. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work has made use of the SPHERE Data Centre, jointly operated by OSUG/IPAG (Grenoble), PYTHEAS/LAM/CeSAM (Marseille), OCA/Lagrange (Nice), Observatosire de Paris/LESIA (Paris), and Observatoire de Lyon/CRAL,
Commentary :
Accepted for publication in A&A. 38 pages, 29 figures, 11 tables
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