7 citations · 7 across the 2 of their papers we have counts for
6 papers
ds-array: A Distributed Data Structure for Large Scale Machine Learning
Javier Álvarez Cid-Fuentes, Pol Álvarez, Salvi Solà +3
Machine learning has proved to be a useful tool for extracting knowledge from scientific data in numerous research fields, including astrophysics, genomics, and molecular dynamics.…
Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
Gaia Collaboration, X. Luri, L. Chemin +417
We compare the Gaia DR2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show…
Gaia Early Data Release 3: The Galactic anticentre
Gaia Collaboration, T. Antoja, P. McMillan +417
We aim to demonstrate the scientific potential of the Gaia Early Data Release 3 (EDR3) for the study of the Milky Way structure and evolution. We used astrometric positions, proper…
Gaia Early Data Release 3: The Gaia Catalogue of Nearby Stars
Gaia Collaboration, R. L. Smart, L. M. Sarro +420
We produce a clean and well-characterised catalogue of objects within 100\,pc of the Sun from the \G\ Early Data Release 3. We characterise the catalogue through comparisons to the…
Gaia Early Data Release 3: Acceleration of the solar system from Gaia astrometry
Gaia Collaboration, S. A. Klioner, F. Mignard +414
Context. Gaia Early Data Release 3 (Gaia EDR3) provides accurate astrometry for about 1.6 million compact (QSO-like) extragalactic sources, 1.2 million of which have the best-quali…
Workflow environments for advanced cyberinfrastructure platforms
Rosa M Badia, Jorge Ejarque, Francesc Lordan +5
Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such…