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相关论文: Gaia Data Release 2: processing of the photometric…

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The European Space Agency Gaia satellite was launched into orbit around L2 in December 2013. This ambitious mission has strict requirements on residual systematic errors resulting from instrumental corrections in order to meet a design goal…

The ESA cornerstone mission Gaia was successfully launched in 2013, and is now scanning the sky to accurately measure the positions and motions of about two billion point-like sources of 3<V<20.5 mag, with the main goal of reconstructing…

太阳与恒星天体物理 · 物理学 2020-01-08 E Pancino

Context. Gaia Early Data Release 3 (EDR3), published in December 2020, features improved photometry and astrometry over that published in the previous DR2 file, and includes a substantially larger number of sources, of the order of 2,000…

星系天体物理 · 物理学 2021-12-14 I. González-Santamaría , M. Manteiga , A. Manchado , A. Ulla , C. Dafonte , P. López Varela

Gaia is an astrometric space experiment that is measuring positions, proper motions as well as parallaxes for a huge number of stars. It operates a medium-dispersion spectrometer, the RVS, that provides spectra and thus radial velocity…

太阳与恒星天体物理 · 物理学 2025-01-24 E. Gosset , Y. Damerdji , T. Morel , L. Delchambre , J. -L. Halbwachs , G. Sadowski , D. Pourbaix , A. Sozzetti , P. Panuzzo , F. Arenou

We present a catalogue of 73,221 white dwarf candidates extracted from the astrometric and photometric data of the recently published Gaia DR2 catalogue. White dwarfs were selected from the Gaia Hertzsprung-Russell diagram with the aid of…

太阳与恒星天体物理 · 物理学 2018-08-15 F. M. Jiménez-Esteban , S. Torres , A. Rebassa-Mansergas , G. Skorobogatov , E. Solano , C. Cantero , C. Rodrigo

The Gaia mission is expected to yield the detection of several thousands of exoplanets, perhaps at least doubling the number of known exoplanets. Although the harvest is expected to occur when the astrometric time series will be published…

地球与行星天体物理 · 物理学 2025-10-15 Flavien Kiefer , Anne-Marie Lagrange , Pascal Rubini , Florian Philipot

The ESA Gaia mission provides a unique time-domain survey for more than 1.6 billion sources with G ~ 21 mag. We showcase stellar variability across the Galactic colour-absolute magnitude diagram (CaMD), focusing on pulsating, eruptive, and…

Gaia Data Release 2 (Gaia DR2) provides high accuracy and precision astrometric parameters (position, parallax, and proper motion) for more than 1 billion sources and is revolutionizing astrometry. For a fast-moving target such as an…

天体物理仪器与方法 · 物理学 2021-08-25 Z. J. Zheng , Q. Y. Peng , F. R. Lin

Gaia DR2 provides a unique all-sky catalogue of 550'737 variable stars, of which 151'761 are long-period variable (LPV) candidates with G variability amplitudes larger than 0.2 mag (5-95% quantile range). About one-fifth of the LPV…

An accurate and precise Kepler Stellar Properties Catalog is essential for the interpretation of the Kepler exoplanet survey results. Previous Kepler Stellar Properties Catalogs have focused on reporting the best-available parameters for…

太阳与恒星天体物理 · 物理学 2020-06-04 Travis A. Berger , Daniel Huber , Jennifer L. van Saders , Eric Gaidos , Jamie Tayar , Adam L. Kraus

Gaia is a satellite mission of the European Space Agency which is creating a catalogue of extremely accurate positions, distances and space motions of two billion stars in our Galaxy, along with more than one hundred thousand solar system…

天体物理仪器与方法 · 物理学 2025-09-16 Michael Perryman

We present a catalogue of white dwarf candidates selected from the second data release of $Gaia$ (DR2). We used a sample of spectroscopically confirmed white dwarfs from the Sloan Digital Sky Survey (SDSS) to map the entire space spanned by…

Gaia Data Release 2 (DR2) was used to select a sample of 211 central stars of planetary nebulae (CSPNe) with good quality astrometric measurements, that we refer to as GAPN, Golden Astrometry Planetary Nebulae. Gaia astrometric and…

太阳与恒星天体物理 · 物理学 2021-01-04 I. González-Santamaría , M. Manteiga , A. Manchado , M. A. Gómez-Muñoz , A. Ulla , C. Dafonte

Using Gaia DR2 data, we present an up-to-date sample of white dwarfs within 20 pc of the Sun. In total we identified 139 systems in Gaia DR2, nine of which are new detections, with the closest of these located at a distance of 13.05 pc. We…

太阳与恒星天体物理 · 物理学 2018-08-15 M. A. Hollands , P. E. Tremblay , B. T. Gaensicke , N. P. Gentile-Fusillo , S. Toonen

Context. The third Gaia Data Release, which includes BP/RP spectra for 219 million sources, has opened a new window in the exploration of the chemical history and evolution of the Milky Way. The wealth of information encapsulated in these…

太阳与恒星天体物理 · 物理学 2024-03-14 T. Xylakis-Dornbusch , N. Christlieb , T. T. Hansen , T. Nordlander , K. B. Webber , J. Marshall

The Gaia space mission is crafting revolutionary astrometric, photometric and spectroscopic catalogues that will allow us to map our Galaxy, but only if we know the completeness of this Gaia-verse of catalogues: what stars does it contain…

天体物理仪器与方法 · 物理学 2020-07-29 Douglas Boubert , Andrew Everall , Berry Holl

The second data release of the Gaia mission contained astrometry and photometry for an incredible 1,692,919,135 sources, but how many sources did Gaia miss and where do they lie on the sky? The answer to this question will be crucial for…

星系天体物理 · 物理学 2020-08-12 Douglas Boubert , Andrew Everall

Accurate determinations of stellar parameters and distances for large complete samples of stars are keys for conducting detailed studies of the formation and evolution of our Galaxy. Here we present stellar atmospheric parameters ($T_{\rm…

We present the flux tables of the spectro-photometric standard stars (SPSS) used to calibrate in flux the Gaia DR2 and (E)DR3 data releases. The latest SPSS grid version contains 112 stars, whose flux tables agree to better than 1% with the…

Machine learning has become a popular tool to help us make better decisions and predictions, based on experiences, observations and analysing patterns within a given data set without explicitly functions. In this paper, we describe an…

太阳与恒星天体物理 · 物理学 2020-02-19 Yu Bai , JiFeng Liu , YiLun Wang , Song Wang