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Astrometry from space has unique advantages over ground-based observations: the all-sky coverage, relatively stable, and temperature and gravity invariant operating environment delivers precision, accuracy and sample volume several orders…

天体物理仪器与方法 · 物理学 2018-03-28 Gerard Gilmore

A significant number of double stars with separations up to 2.5 arcsec are present in the Gaia Data Release 1 astrometric catalogs. Limiting our analysis to a well-studied sample of 1124 doubles resolved by Hipparcos, provided with…

太阳与恒星天体物理 · 物理学 2017-04-26 Valeri V. Makarov , Claus Fabricius , Julien Frouard

Context. Accurate photometric calibration of astronomical photographic plates remains a fundamental challenge in astronomy, especially when bridging historical photographic data with modern observations due to the mismatch of spectral…

天体物理仪器与方法 · 物理学 2026-02-25 Maryam Raouph , Andreas Schrimpf

We here apply a novel technique selecting quasar candidates purely as sources with zero proper motions in the Gaia data release 2 (DR2). We demonstrate that this approach is highly efficient toward high Galactic latitudes with < 25%…

星系天体物理 · 物理学 2018-07-25 K. E. Heintz , J. P. U. Fynbo , E. Høg , P. Møller , J. -K. Krogager , S. Geier , P. Jakobsson , L. Christensen

We present a cross-calibration of Hipparcos and Gaia EDR3 intended to identify astrometrically accelerating stars and to fit orbits to stars with faint, massive companions. The resulting catalog, the EDR3 edition of the Hipparcos-Gaia…

星系天体物理 · 物理学 2021-06-17 Timothy D. Brandt

We construct a supervised classifier based on Gaussian Mixture Models to probabilistically classify objects in Gaia data release 2 (GDR2) using only photometric and astrometric data in that release. The model is trained empirically to…

星系天体物理 · 物理学 2019-11-06 Coryn A. L. Bailer-Jones , Morgan Fouesneau , Rene Andrae

(Abridged) Gaia aims to make a 3-dimensional map of 1,000 million stars in our Milky Way to unravel its kinematical, dynamical, and chemical structure and evolution. Gaia's on-board detection software discriminates stars from spurious…

天体物理仪器与方法 · 物理学 2015-04-01 J. H. J. de Bruijne , M. Allen , S. Azaz , A. Krone-Martins , T. Prod'homme , D. Hestroffer

In preparation for the upcoming all-sky data releases of the Gaia mission we compiled a catalogue of known hot subdwarf stars and candidates drawn from the literature and yet unpublished databases. The catalogue contains 5613 unique sources…

太阳与恒星天体物理 · 物理学 2017-04-05 S. Geier , R. H. Østensen , P. Nemeth , N. P. Gentile Fusillo , B. T. Gänsicke , J. H. Telting , E. M. Green , J. Schaffenroth

We present a catalogue of 551,214 main-sequence stars in the local ($d < 2$ kpc) Galactic thick disk and halo, based on a search of stars with large proper motions ($\mu_{\mathrm{tot}} > 40.0$ mas/yr) in the Gaia Early Data Release 3. We…

星系天体物理 · 物理学 2022-01-05 Bokyoung Kim , Sebastien Lépine

This note describes an effort to detect additional stellar sources in known transiting exoplanet (TEP) systems, which are unresolved or barely resolved in the Gaia Data Release 2 (DR2) catalogue. The presence of multiple unresolved stars in…

地球与行星天体物理 · 物理学 2018-05-01 Daniel Evans

Astrometric surveys such as Gaia and LSST will measure parallaxes for hundreds of millions of stars. Yet they will not measure a single distance. Rather, a distance must be estimated from a parallax. In this didactic article, I show that…

天体物理仪器与方法 · 物理学 2016-03-09 C. A. L. Bailer-Jones

Gaia mission will offer an exceptional opportunity to perform variability studies. The data homogeneity, its optimised photometric systems, composed of 11 medium and 4-5 broad bands, the high photometric precision in G band of one milli-mag…

天体物理学 · 物理学 2007-05-23 Laurent Eyer

Since July 2014, the Gaia space mission has been continuously scanning the sky and observing the extragalactic Universe with unprecedented spatial resolution in the optical domain ($\sim$ 180 mas by the end of the mission). Gaia provides an…

While Gaia has observed the phase space coordinates of over a billion stars in the Galaxy, in the overwhelming majority of cases it has only obtained five of the six coordinates, the missing dimension being the radial (line-of-sight)…

星系天体物理 · 物理学 2022-09-29 Aneesh Naik , Axel Widmark

We compared positions of the Gaia first data release (DR1) secondary data set at its faint limit with CCD positions of stars in 20 fields observed with the VLT/FORS2 camera. The FORS2 position uncertainties are smaller than one…

天体物理仪器与方法 · 物理学 2017-10-25 P. F. Lazorenko , J. Sahlmann

In its all-sky survey, the ESA global astrometry mission Gaia will perform high-precision astrometry and photometry for 1 billion stars down to $V = 20$ mag. The data collected in the Gaia catalogue, to be published by the end of the next…

地球与行星天体物理 · 物理学 2015-05-14 A. Sozzetti

The second release of Gaia data (Gaia DR2) contains the astrometric parameters for more than half a million quasars. This set defines a kinematically non-rotating reference frame in the optical domain referred to as the Gaia-CRF2. The…

星系天体物理 · 物理学 2019-11-06 F. Mignard , S. Klioner , L. Lindegren , J. Hernandez , U. Bastian , A. Bombrun

We use detailed simulations of the Gaia observations of synthetic planetary systems and develop and utilize independent software codes in double-blind mode to analyze the data, including statistical tools for planet detection and different…

We analyse Gaia EDR3 parallax systematics as a function of magnitude and sky location using a recently published catalogue of 12,500 asteroseismic red-giant star distances. We selected ~ 3500 red clump (RC) stars of similar chemical…

太阳与恒星天体物理 · 物理学 2023-12-20 Saniya Khan , Richard I. Anderson , Andrea Miglio , Benoît Mosser , Yvonne P. Elsworth

In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10,000 Landolt standard stars from Clem & Landolt (2013). Using a machine learning technique, the UBVRI magnitudes are converted into the…

太阳与恒星天体物理 · 物理学 2021-02-24 Lin Yang , Haibo Yuan , Ruoyi Zhang , Zexi Niu , Yang Huang , Fuqing Duan , Yi Fang