activity
20142025
most citedGaia Data Release 2: Photometric content and validation

756 citations · 966 across the 10 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM2025

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…

astro-ph.IM2020★ 18 cited

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…

astro-ph.IM2018★ 756 cited

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…

astro-ph.IM2016

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…

astro-ph.IM2016★ 1 cited

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…

astro-ph.IM2016★ 66 cited

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…

astro-ph.IM2014

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…