8.6k citations · 9.2k across the 7 of their papers we have counts for
7 papers
Gaia Data Release 2. Summary of the contents and survey properties
Gaia Collaboration, A. G. A. Brown, A. Vallenari +4
We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources…
Gaia Data Release 2: Properties and validation of the radial velocities
D. Katz, P. Sartoretti, M. Cropper +51
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 t…
Gaia data release 1, the photometric data
F. van Leeuwen, D. W. Evans, F. De Angeli +91
Context. This paper presents an overview of the photometric data that are part of the first Gaia data release. Aims. The principles of the processing and the main characteristics o…
The influence of dense gas rings on the dynamics of a stellar disk in the Galactic center
Alessandro Alberto Trani, Michela Mapelli, Alessandro Bressan +3
The Galactic center hosts several hundred early-type stars, about 20% of which lie in the so-called clockwise disk, while the remaining 80% do not belong to any disks. The circumnu…
Multi-scale and multi-domain computational astrophysics
A. van Elteren, F. I. Pelupessy, S. Portegies Zwart
Astronomical phenomena are governed by processes on all spatial and temporal scales, ranging from days to the age of the Universe (13.8,Gyr) as well as from km size up to the size…
The Astrophysical Multipurpose Software Environment
F. I. Pelupessy, A. van Elteren, N. de Vries +3
We present the open source Astrophysical Multi-purpose Software Environment (AMUSE, www.amusecode.org), a component library for performing astrophysical simulations involving diffe…
Simulations of Dense Stellar Systems with the AMUSE Software Toolkit
Stephen McMillan, Simon Portegies Zwart, Arjen van Elteren +1
We describe AMUSE, the Astrophysical Multipurpose Software Environment, a programming framework designed to manage multi-scale, multi-physics simulations in a hierarchical, extensi…