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Related papers: Gaia-DR2 extended kinematical maps. Part I: Method…

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We aim to measure the proper motion along the Sagittarius stream that is the missing piece to determine its full 6D phase space coordinates. We conduct a blind search of over-densities in proper motion from Gaia DR2 in a broad region around…

Astrophysics of Galaxies · Physics 2020-03-04 T. Antoja , P. Ramos , C. Mateu , A. Helmi , F. Anders , C. Jordi , J. A. Carballo-Bello

The goal of this study is to present the development of a machine learning based approach that utilizes phase space alone to separate the Gaia DR2 stars into two categories: those accreted onto the Milky Way from those that are in situ.…

Bars and spirals are among the main drivers of the secular evolution of galactic disks, and it is, thus, of prime importance to better understand their exact nature and dynamics. In this respect, the Milky Way provides a unique laboratory…

Astrophysics of Galaxies · Physics 2019-08-13 Benoit Famaey , Arnaud Siebert , Ivan Minchev

Machine learning can play a powerful role in inferring missing line-of-sight velocities from astrometry in surveys such as Gaia. In this paper, we apply a neural network to Gaia Early Data Release 3 (EDR3) and obtain line-of-sight…

Astrophysics of Galaxies · Physics 2023-02-01 Adriana Dropulic , Hongwan Liu , Bryan Ostdiek , Mariangela Lisanti

The Gaia DR2 radial velocity sample (GDR2RVS), which provides six-dimensional phase-space information on 7.2 million stars, is of great value for inferring properties of the Milky Way. Yet a quantitative and accurate modelling of this…

Instrumentation and Methods for Astrophysics · Physics 2020-10-28 Jan Rybizki , Hans-Walter Rix , Markus Demleitner , Coryn Bailer-Jones , William J. Cooper

Distances to high mass star forming regions (HMSFRs) in the Milky Way are a crucial constraint on the structure of the Galaxy. Only kinematic distances are available for a majority of the HMSFRs in the Milky Way. Here we compare the…

Astrophysics of Galaxies · Physics 2018-04-11 Trey V. Wenger , Dana S. Balser , L. D. Anderson , T. M. Bania

Until the recent advent of $Gaia$ Data Release 2 (DR2) and deep multi-object spectroscopy, it has been difficult to obtain 6-D phase space information for large numbers of stars beyond 4 kpc, in particular towards the Galactic centre, where…

We combine Gaia DR1, PS1, SDSS and 2MASS astrometry to measure proper motions for 350 million sources across three-fourths of the sky down to a magnitude of $m_r\sim20$\,. Using positions of galaxies from PS1, we build a common reference…

We present Bayesian distance estimates for stars with radial velocities and parallaxes published in Gaia DR2. Our method and prior is designed to apply to this specific subset of stars in Gaia DR2.

Astrophysics of Galaxies · Physics 2018-06-08 Paul J. McMillan

We have studied the kinematic properties of the candidates for hot subdwarfs (HSDs) selected by Geier et al. from the Gaia DR2 catalogue. We have used a total of 12 515 stars with relative trigonometric parallax errors less than 30\%. The…

Astrophysics of Galaxies · Physics 2019-10-03 V. V. Bobylev , A. T. Bajkova

We present an analysis of the kinematics of Galactic disc white dwarf stars in the Solar neighbourhood using data from Gaia Data Release 2. Selection of white dwarfs based on parallax provides the first large, kinematically unbiased sample…

Astrophysics of Galaxies · Physics 2019-01-30 Nicholas Rowell , Mukremin Kilic

This work explores dynamical models of the Milky Way (MW) by analyzing a sample of 86,109 K giant stars selected through cross-matching the LAMOST DR8 and Gaia EDR3 surveys. Our earlier torus models in Wang et al. (2017) did not include…

Astrophysics of Galaxies · Physics 2025-05-26 Guang-Chen Sun , Qiao Wang , Shude Mao , Yichao Li , Richard J. Long , Ping-Jie Ding , Yougang Wang , Xin Zhang , Xuelei Chen

Our location in the Milky Way provides an exceptional opportunity to gain insight on the galactic evolution processes, and complement the information inferred from observations of external galaxies. Since the Milky Way is a barred galaxy,…

Astrophysics of Galaxies · Physics 2020-02-10 Pedro Alonso Palicio , Inma Martinez-Valpuesta , Carlos Allende Prieto , Claudio Dalla Vecchia

The structure and dynamics of the central bar of the Milky Way are still under debate whilst being fundamental ingredients for the evolution of our Galaxy. The recent Gaia DR3 offers an unprecedented detailed view of the 6D phase-space of…

Astrophysics of Galaxies · Physics 2024-06-05 Marcel Bernet , Pau Ramos , Teresa Antoja , Giacomo Monari , Benoit Famaey

We investigate the three-dimensional asymmetrical kinematics and present time stamps of the Milky Way disk between Galactocentric distances of $R=12$ and 15 \,kpc, using red clump stars selected from the LAMOST Galactic survey, also with…

Gaia Data Release 3 (Gaia DR3) contains the second release of the combined radial velocities. It is based on the spectra collected during the first 34 months of the nominal mission. The longer time baseline and the improvements of the…

We study the velocity distribution of Milky Way disk stars in a kiloparsec-sized region around the Sun, based on ~ 2 million M-type stars from DR7 of SDSS, which have newly re-calibrated absolute proper motions from combining SDSS positions…

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…

This paper shows how a self-consistent dynamical model can be obtained by fitting the gravitational potential of the Milky Way to the stellar kinematics and densities from Gaia data. Using the Besancon Galaxy Model we derive a potential and…

We have selected and analyzed a sample of OB stars with known line-of-sight velocities determined through ground-based observations and with trigonometric parallaxes and proper motions from the Gaia DR2 catalogue. Some of the stars in our…

Astrophysics of Galaxies · Physics 2018-09-28 V. V. Bobylev , A. T. Bajkova