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相关论文: Simple distance estimates for Gaia DR2 stars with …

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In an earlier work, we demonstrated the effectiveness of Bayesian neural networks in estimating the missing line-of-sight velocities of Gaia stars, and published an accompanying catalogue of blind predictions for the line-of-sight…

星系天体物理 · 物理学 2023-12-13 Aneesh P. Naik , Axel Widmark

For the vast majority of stars in the second Gaia data release, reliable distances cannot be obtained by inverting the parallax. A correct inference procedure must instead be used to account for the nonlinearity of the transformation and…

太阳与恒星天体物理 · 物理学 2018-08-08 C. A. L. Bailer-Jones , J. Rybizki , M. Fouesneau , G. Mantelet , R. Andrae

The second Gaia data release (GDR2) provides precise five-parameter astrometric data (positions, proper motions and parallaxes) for an unprecedented amount of sources (more than $1.3$ billion, mostly stars). The use of this wealth of…

Gaia DR2 5932173855446728064 was recently proposed to be unbound from the Milky Way based on the $-614.3\pm2.5\;\mathrm{km}\;\mathrm{s}^{-1}$ median radial velocity given in Gaia DR2. We obtained eight epochs of spectroscopic follow-up and…

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

Here, we report comparative study of radial velocity ($\rm RV$) data of two major surveys: Gaia Data Release 2 and RAVE Data Release 5. We restricted the sample to stars with relatively accurate radial velocities ($\sigma_{\rm RV_{Gaia}}…

太阳与恒星天体物理 · 物理学 2018-10-03 Deepak , Bacham E. Reddy

The accuracy of stellar distances inferred purely from parallaxes degrades rapidly with distance. Proper motion measurements, when combined with some idea of typical velocities, provide independent information on stellar distances. Here I…

星系天体物理 · 物理学 2023-11-02 C. A. L. Bailer-Jones

We investigate the nature of nearby (10-15 kpc) high-speed stars in the Gaia DR2 archive identified on the basis of parallax, proper motion and radial velocity. Together with a consideration of their kinematic, orbital, and photometric…

星系天体物理 · 物理学 2018-11-28 Benjamin C. Bromley , Scott J. Kenyon , Warren R. Brown , Margaret J. Geller

We infer distances and their asymmetric uncertainties for two million stars using the parallaxes published in the Gaia DR1 (GDR1) catalogue. We do this with two distance priors: A minimalist, isotropic prior assuming an exponentially…

星系天体物理 · 物理学 2016-12-21 Tri L. Astraatmadja , Coryn A. L. Bailer-Jones

We derive Bayesian distances for all stars in the RV sample of Gaia DR2, and use the statistical method of Schoenrich, Binney & Asplund(2012) to validate the distances and test the Gaia parallaxes. In contrast to other methods, which rely…

星系天体物理 · 物理学 2019-06-05 Ralph Schönrich , Paul McMillan , Laurent Eyer

This research note presents a comparison of radial velocities between the RAVE DR5 data release with Gaia DR2. RAVE DR5 and Gaia DR2 have 450587 stars in common. In particular we would like to shed light on a small subset of joint targets…

星系天体物理 · 物理学 2018-10-24 Matthias Steinmetz , Tomaz Zwitter , Gal Matijevic , Alessandro Siviero , Ulisse Munari

We use 612 single stars with previously published trigonometric parallaxes placing them within 25 pc to evaluate parallaxes released in Gaia's first data release (DR1). We find that the Gaia parallaxes are, on average, $0.24 \pm 0.02$ mas…

太阳与恒星天体物理 · 物理学 2016-11-23 Wei-Chun Jao , Todd J. Henry , Adric R. Riedel , Jennifer G. Winters , Kenneth J. Slatten , Douglas R. Gies

For Gaia DR2 (GDR2), 280 million spectra, collected by the RVS instrument on-board Gaia, were processed and median radial velocities were derived for 9.8 million sources brighter than Grvs = 12 mag. This paper describes the validation and…

Precise measurement of the fundamental parameters of stellar systems, including mass and radius, depends critically on how well the stellar distances are known. Astrometry from space provides parallax measurements of unprecented accuracy,…

太阳与恒星天体物理 · 物理学 2021-11-10 Mashhoor Ahmad Al-Wardat , Abdallah M. Hussein , Hamid M. Al-Naimiy , Martin A. Barstow

Featuring greatly improved astrometry and precise radial velocities (RVs), the second data release (DR2) from Gaia affords us a unique opportunity to test the validity of samples of stellar wide binaries. In a previous work, we presented a…

太阳与恒星天体物理 · 物理学 2018-05-14 Jeff J. Andrews , Julio Chanamé , Marcel A. Agüeros

We compare the parallaxes of stars from VLBI astrometry in the literature to those in the Gaia DR2 catalog. Our full sample contains young stellar objects, evolved AGB stars, pulsars and other radio stars. Excluding AGB stars, which show…

太阳与恒星天体物理 · 物理学 2019-05-01 Shuangjing Xu , Bo Zhang , Mark J. Reid , Xingwu Zheng , Guangli Wang

We search for the fastest stars in the subset of stars with radial velocity measurements of the second data release (DR2) of the European Space Agency mission Gaia. Starting from the observed positions, parallaxes, proper motions, and…

星系天体物理 · 物理学 2018-09-26 T. Marchetti , E. M. Rossi , A. G. A. Brown

We calculated the median parallaxes for 47 OB associations including at least 10 stars with known Gaia DR2 parallaxes. A comparison between trigonometric and photometric parallaxes of OB associations reveals a zero-point offset of…

星系天体物理 · 物理学 2020-07-15 A. M. Melnik , A. K. Dambis

The second Gaia data release (DR2) is scheduled for April 2018. While Gaia DR1 had increased the number of stars with parallaxes by a factor 20 with respect to the Hipparcos catalogue, Gaia DR2 will bring another factor 500 increase, with…

星系天体物理 · 物理学 2017-11-06 D. Katz , A. G. A. Brown

Stellar distances constitute a foundational pillar of astrophysics. The publication of 1.47 billion stellar parallaxes from Gaia is a major contribution to this. Yet despite Gaia's precision, the majority of these stars are so distant or…

太阳与恒星天体物理 · 物理学 2021-02-26 C. A. L. Bailer-Jones , J. Rybizki , M. Fouesneau , M. Demleitner , R. Andrae
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