Muestra la distribución de disciplinas para esta publicación.
Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.
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| DOI | |||
| Año | 2019 | ||
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Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Orbiting companions influence the space motion of their parent star through their gravitational field. Using the Hipparcos and Gaia DR2 (GDR2) catalogues, we determined the long-term proper motion (PM) of the stars common to these two catalogues. We then searched for a proper motion anomaly (PMa) between the long-term PM vector and the GDR2 (or Hipparcos) measurements, indicative of the presence of a perturbing secondary object. We focused our analysis on classical Cepheids, RR Lyrae stars and the nearby stars located within 50 pc. The PMa allows us to detect orbiting companions, down to planetary mass, or set stringent limits on their presence. Approximately 30% of the tested stars within 50 pc present a PMa signal greater than 3σ. We also estimate that > 80% of the Cepheids and ≈ 20% of the RR Lyrae stars are members of binary systems. To complement our PMa-based survey, we also searched the GDR2 for common proper motion companions. We used a simple progressive selection algorithm to separate the most probable candidate companions from the unrelated field stars. This revealed a significant number of candidate gravitationally bound systems with wide separations. We identified 27 Cepheids and 7 RR Lyrae stars in spatially resolved binary systems. The PMa opens the possibility to identify long period orbital companions otherwise inaccessible.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Kervella, P. | - |
L'Observatoire de Paris - Francia
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| 2 | Arenou, F. | - |
L'Observatoire de Paris - Francia
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| 3 | Mignard, F. | - |
Observatoire de la Côte d'Azur - Francia
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| 4 | Gallenne, A. | - |
Observatoire de la Côte d'Azur - Francia
European Southern Observatory Santiago - Chile |
| 5 | Evans, N. R. | - |
Smithsonian Astrophysical Observatory - Estados Unidos
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| 6 | Thévenin, F. | - |
Observatoire de la Côte d'Azur - Francia
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| Fuente |
|---|
| European Research Council |
| National Aeronautics and Space Administration |
| Agence Nationale de la Recherche |
| Space Telescope Science Institute |
| European Space Agency |
| Horizon 2020 Framework Programme |
| U.S. government |
| Gaia Data Processing and Analysis Consortium |
| Chinese Diabetes Society |
| Diabetes Patient Advocacy Coalition |
| Agradecimiento |
|---|
| This work has made use of data from the European Space Agency (ESA) mission Gaia (http: //www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://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. The authors acknowledge the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-15-CE31-0012-01 (project UnlockCepheids). The research leading to these results has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 695099). This research made use of Astropy1, a community-developed core Python package for Astronomy. We used the SIMBAD and VIZIER databases and catalogue access tool at the CDS, Strasbourg (France), and NASA’s Astrophysics Data System Bibliographic Services. The Digitized Sky Surveys were produced at the Space Telescope Science Institute under U.S. Government grant NAG W-2166. The images of these surveys are based on photographic data obtained using the Oschin Schmidt Telescope on Palomar Mountain and the UK Schmidt Telescope. The plates were processed into the present compressed digital form with the permission of these institutions. |
| This work has made use of data from the European Space Agency (ESA) mission Gaia (http: //www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, http://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. The authors acknowledge the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-15-CE31-0012-01 (project UnlockCepheids). The research leading to these results has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 695099). This research made use of Astropy1, a community-developed core Python package for Astronomy. We used the SIMBAD and VIZIER databases and catalogue access tool at the CDS, Strasbourg (France), and NASA’s Astrophysics Data System Bibliographic Services. The Digitized Sky Surveys were produced at the Space Telescope Science Institute under U.S. Government grant NAG W-2166. The images of these surveys are based on photographic data obtained using the Oschin Schmidt Telescope on Palomar Mountain and the UK Schmidt Telescope. The plates were processed into the present compressed digital form with the permission of these institutions. |