Abstract
| Original language | English |
|---|---|
| Article number | A79 |
| Number of pages | 29 |
| Journal | Astronomy & Astrophysics |
| Volume | 605 |
| DOIs | |
| Publication status | Published - Sept 2017 |
Funding
This work has made use of results from the European Space Agency (ESA) space mission Gaia, the data from which were processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The Gaia mission website is http://www.cosmos.esa.int/gaia.The authors are current or past members of the ESA and Airbus DS Gaia mission teams and of the Gaia DPAC. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. We thank the referee, Pierre Kervella, for his detailed comments and suggestions that have helped to improve the paper analysis and presentation. This work has financially been supported by: the Agenzia Spaziale Italiana (ASI) through grants I/037/08/0, I/058/10/0, 2014-025-R.0, and 2014-025-R.1.2015 to INAF and contracts I/008/10/0 and 2013/030/I.0 to ALTEC S.p.A.; the Algerian Centre de Recherche en Astronomie, Astrophysique et Geophysique of Bouzareah Observatory; the Austrian FWF Hertha Firnberg Programme through grants T359, P20046, and P23737; the BELgian federal Science Policy Office (BELSPO) through various PROgramme de Developpement d'Experiences scientifiques (PRODEX) grants; the Brazil-France exchange programmes FAPESPCOFECUB and CAPES-COFECUB; the Chinese National Science Foundation through grant NSFC 11573054; the Czech-Republic Ministry of Education, Youth, and Sports through grant LG 15010; the Danish Ministry of Science; the Estonian Ministry of Education and Research through grant IUT401; the European Commission's Sixth Framework Programme through the European Leadership in Space Astrometry (ELSA) Marie Curie Research Training Network (MRTN-CT-2006-033481), through Marie Curie project PIOF-GA2009-255267 (SAS-RRL), and through a Marie Curie Transfer-of-Knowledge (ToK) fellowship (MTKD-CT-2004-014188); the European Commission's Seventh Framework Programme through grant FP7-606740 (FP7-SPACE-2013-1) for the Gaia European Network for Improved data User Services (GENIUS) and through grant 264895 for the Gaia Research for European Astronomy Training (GREAT-ITN) network; the European Research Council (ERC) through grant 320360 and through the European Union's Horizon 2020 research and innovation programme through grant agreement 670519 (Mixing and Angular Momentum tranSport of massIvE stars -MAMSIE); the European Science Foundation (ESF), in the framework of the Gaia Research for European Astronomy Training Research Network Programme (GREAT-ESF); the European Space Agency in the framework of the Gaia project; the European Space Agency Plan for European Cooperating States (PECS) programme through grants for Slovenia; the Czech Space O ffice through ESA PECS contract 98058; the Academy of Finland; the Magnus Ehrnrooth Foundation; the French Centre National de la Recherche Scientifique (CNRS) through action "Defi MASTODONS"; the French Centre National d'Etudes Spatiales (CNES); the French L'Agence Nationale de la Recherche (ANR) "investissements d'avenir" Initiatives D'EXcellence (IDEX) programme PSL ~ through grant ANR-10IDEX-0001-02; the Region Aquitaine; the Universite de Bordeaux; the French Utinam Institute of the Universite de Franche-Comte, supported by the Region de Franche-Comte and the Institut des Sciences de l'Univers (INSU); the German Aerospace Agency (Deutsches Zentrum fur Luft-und Raumfahrt e.V.
Austrian Fields of Science 2012
- 103003 Astronomy
- 103004 Astrophysics
Keywords
- astrometry
- parallaxes
- stars: distances
- stars: variables: Cepheids
- stars: variables: RR Lyrae
- methods: data analysis
- LARGE-MAGELLANIC-CLOUD
- PERIOD-LUMINOSITY RELATIONS
- HUBBLE-SPACE-TELESCOPE
- GRAVITATIONAL LENSING EXPERIMENT
- GLOBULAR-CLUSTER DISTANCES
- POPULATION-II-CEPHEIDS
- CLASSICAL CEPHEIDS
- VARIABLE-STARS
- ABSOLUTE MAGNITUDES
- THEORETICAL-MODELS
- Stars: variables: RR Lyrae
- Stars: variables: Cepheids
- Parallaxes
- Astrometry
- Stars: distances
- Methods: data analysis
Fingerprint
Dive into the research topics of 'Gaia Data Release 1. Testing parallaxes with local Cepheids and RR Lyrae stars'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver