756 citations · 966 across the 10 of their papers we have counts for
10 papers
Encapsulating Textual Contents into a MOC data Structure for Advanced Applications
Giuseppe Greco, Thomas Boch, Pierre Fernique +12
Context. The Multi-Order Coverage map (MOC) is a widely adopted standard promoted by the International Virtual Observatory Alliance (IVOA) to support data sharing and interoperabil…
Isolated neutron stars as Science Validation for XMM2ATHENA: Ensuring robust data for future X-ray Astronomy
Adriana Mancini Pires, Christian Motch, Axel Schwope +9
The discovery of radio-quiet, X-ray thermally emitting isolated neutron stars (XINSs) in the ROSAT All-Sky Survey revealed a previously overlooked component of the neutron star pop…
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: 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…
Machines Learn to Infer Stellar Parameters Just by Looking at a Large Number of Spectra
Nima Sedaghat, Martino Romaniello, Jonathan E. Carrick +1
Machine learning has been widely applied to clearly defined problems of astronomy and astrophysics. However, deep learning and its conceptual differences to classical machine learn…
Gaia Data Release 2: Photometric content and validation
D. W. Evans, M. Riello, F. De Angeli +9
Aims. We describe the photometric content of the second data release of the Gaia project (Gaia DR2) and its validation along with the quality of the data. Methods. The validation w…
MocServer: What & Where in a few milliseconds
Pierre Fernique, Thomas Boch, Anais Oberto +1
The MocServer is an astronomical service dedicated to the manipulation of data set coverages. This server sets together about 15 000 spatial footprints associated to catalogs, data…
An Hierarchical Approach to Big Data
M. G. Allen, P. Fernique, T. Boch +7
The increasing volumes of astronomical data require practical methods for data exploration, access and visualisation. The Hierarchical Progressive Survey (HiPS) is a HEALPix based…
Probabilistic multi-catalogue positional cross-match
F. -X. Pineau, S. Derriere, C. Motch +8
We lay the foundations of a statistical framework for multi-catalogue cross-correlation and cross-identification based on explicit simplified catalogue models. A proper identificat…
Building an Archive with Saada
Laurent Michel, Christian Motch, Hoan Ngoc Nguyen +1
Saada transforms a set of heterogeneous FITS files or VOTables of various categories (images, tables, spectra ...) in a database without writing code. Databases created with Saada…