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Gaia Data Release 1 Summary of the astrometric, photometric, and survey properties

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Janotto, A-M and Joliet, E and Jonckheere, A and Keil, R and Kim, D-W and Klagyivik, P and Klar, J and Knude, J and Kochukhov, O and Kolka, I and Kos, J and Kutka, A and Lainey, V and LeBouquin, D and Liu, C and Loreggia, D and Makarov, VV and Marseille, MG and Martayan, C and Martinez-Rubi, O and Massart, B and Meynadier, F and Mignot, S and Munari, U and Nguyen, A-T and Nordlander, T and Ocvirk, P and O'Flaherty, KS and Sanz, AO and Ortiz, P and Osorio, J and Oszkiewicz, D and Ouzounis, A and Palmer, M and Park, P and Pasquato, E and Peltzer, C and Peralta, J and Peturaud, F and Pieniluoma, T and Pigozzi, E and Poels, J and Prat, G and Prod'homme, T and Raison, F and Rebordao, JM and Risquez, D and Rocca-Volmerange, B and Rosen, S and Ruiz-Fuertes, MI and Russo, F and Sembay, S and Vizcaino, IS and Short, A and Siebert, A and Silva, H and Sinachopoulos, D and Slezak, E and Soffel, M and Sosnowska, D and Straizys, V and ter Linden, M and Terrell, D and Theil, S and Tiede, C and Troisi, L and Tsalmantza, P and Tur, D and Vaccari, M and Vachier, F and Valles, P and Van Hamme, W and Veltz, L and Virtanen, J and Wallut, J-M and Wichmann, R and Wilkinson, MI and Ziaeepour, H and Zschocke, S (2016) Gaia Data Release 1 Summary of the astrometric, photometric, and survey properties. Astronomy and Astrophysics, 595. ISSN 0004-6361

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Abstract

Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7.

Aims. A summary of Gaia DR1 is presented along with illustrations of the scientific quality of the data, followed by a discussion of the limitations due to the preliminary nature of this release.

Methods. The raw data collected by Gaia during the first 14 months of the mission have been processed by the Gaia Data Processing and Analysis Consortium (DPAC) and turned into an astrometric and photometric catalogue.

Results. Gaia DR1 consists of three components: a primary astrometric data set which contains the positions, parallaxes, and mean proper motions for about 2 million of the brightest stars in common with the Hipparcos and Tycho-2 catalogues – a realisation of the Tycho-Gaia Astrometric Solution (TGAS) – and a secondary astrometric data set containing the positions for an additional 1.1 billion sources. The second component is the photometric data set, consisting of mean G-band magnitudes for all sources. The G-band light curves and the characteristics of ~3000 Cepheid and RR Lyrae stars, observed at high cadence around the south ecliptic pole, form the third component. For the primary astrometric data set the typical uncertainty is about 0.3 mas for the positions and parallaxes, and about 1 mas yr-1 for the proper motions. A systematic component of ~0.3 mas should be added to the parallax uncertainties. For the subset of ~94 000 Hipparcos stars in the primary data set, the proper motions are much more precise at about 0.06 mas yr-1. For the secondary astrometric data set, the typical uncertainty of the positions is ~10 mas. The median uncertainties on the mean G-band magnitudes range from the mmag level to ~0.03 mag over the magnitude range 5 to 20.7.

Conclusions. Gaia DR1 is an important milestone ahead of the next Gaia data release, which will feature five-parameter astrometry for all sources. Extensive validation shows that Gaia DR1 represents a major advance in the mapping of the heavens and the availability of basic stellar data that underpin observational astrophysics. Nevertheless, the very preliminary nature of this first Gaia data release does lead to a number of important limitations to the data quality which should be carefully considered before drawing conclusions from the data.

Item Type: Article
Uncontrolled Keywords: 0201 Astronomical And Space Sciences
Subjects: Q Science > QB Astronomy
Divisions: Astrophysics Research Institute
Publisher: EDP Sciences
Related URLs:
Date Deposited: 19 Jan 2017 11:15
Last Modified: 07 Sep 2017 15:14
DOI or Identification number: 10.1051/0004-6361/201629512
URI: http://researchonline.ljmu.ac.uk/id/eprint/5303

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