L. Galluccio
Centre national de la recherche scientifique
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Featured researches published by L. Galluccio.
Astronomy and Astrophysics | 2017
F. Arenou; X. Luri; C. Babusiaux; C. Fabricius; Amina Helmi; A. C. Robin; A. Vallenari; S. Blanco-Cuaresma; T. Cantat-Gaudin; K. Findeisen; C. Reylé; L. Ruiz-Dern; R. Sordo; C. Turon; N. A. Walton; I.-C. Shih; E. Antiche; C. Barache; M. Barros; Maarten A. Breddels; J. M. Carrasco; G. Costigan; S. Diakite; Laurent Eyer; F. Figueras; L. Galluccio; J. Heu; C. Jordi; A. Krone-Martins; R. Lallement
Before the publication of the Gaia Catalogue, the contents of the first data release have undergone multiple dedicated validation tests. These tests aim at analysing in-depth the Catalogue content to detect anomalies, individual problems in specific objects or in overall statistical properties, either to filter them before the public release, or to describe the different caveats of the release for an optimal exploitation of the data. Dedicated methods using either Gaia internal data, external catalogues or models have been developed for the validation processes. They are testing normal stars as well as various populations like open or globular clusters, double stars, variable stars, quasars. Properties of coverage, accuracy and precision of the data are provided by the numerous tests presented here and jointly analysed to assess the data release content. This independent validation confirms the quality of the published data, Gaia DR1 being the most precise all-sky astrometric and photometric catalogue to-date. However, several limitations in terms of completeness, astrometric and photometric quality are identified and described. Figures describing the relevant properties of the release are shown and the testing activities carried out validating the user interfaces are also described. A particular emphasis is made on the statistical use of the data in scientific exploitation.
Planetary and Space Science | 2016
P. Tanga; Francois Mignard; Aldo Dell’Oro; Karri Muinonen; T. Pauwels; William Thuillot; Jerome Berthier; A. Cellino; Daniel Hestroffer; Jean-Marc Petit; B. Carry; Pedro David; Marco Delbo; G. Fedorets; L. Galluccio; Mikael Granvik; C. Ordenovic; Hanna Pentikäinen
Abstract The Gaia mission started its regular observing program in the summer of 2014, and since then it is regularly obtaining observations of asteroids. This paper draws the outline of the data processing for Solar System objects, and in particular on the daily “short-term” processing, from the on-board data acquisition to the ground-based processing. We illustrate the tools developed to compute predictions of asteroid observations, we discuss the procedures implemented by the daily processing, and we illustrate some tests and validations of the processing of the asteroid observations. Our findings are overall consistent with the expectations concerning the performances of Gaia and the effectiveness of the developed software for data reduction.
Astronomy and Astrophysics | 2018
F. Spoto; P. Tanga; F. Mignard; Jerome Berthier; B. Carry; A. Cellino; A. Dell'Oro; Daniel Hestroffer; Karri Muinonen; T. Pauwels; Jean-Marc Petit; Pedro David; F. De Angeli; Marco Delbo; B. Frézouls; L. Galluccio; Mikael Granvik; J. Guiraud; Jose Hernandez; Ruth Carballo Fidalgo
Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations of a selected sample of 14,099 SSOs. These asteroids have been already identified and have been numbered by the Minor Planet Center repository. Positions are provided for each Gaia observation at CCD level. As additional information, complementary to astrometry, the apparent brightness of SSOs in the unfiltered G band is also provided for selected observations. Aims. We explain the processing of SSO data, and describe the criteria we used to select the sample published in Gaia DR2. We then explore the data set to assess its quality. Methods. To exploit the main data product for the solar system in Gaia DR2, which is the epoch astrometry of asteroids, it is necessary to take into account the unusual properties of the uncertainty, as the position information is nearly one-dimensional. When this aspect is handled appropriately, an orbit fit can be obtained with post-fit residuals that are overall consistent with the a-priori error model that was used to define individual values of the astrometric uncertainty. The role of both random and systematic errors is described. The distribution of residuals allowed us to identify possible contaminants in the data set (such as stars). Photometry in the G band was compared to computed values from reference asteroid shapes and to the flux registered at the corresponding epochs by the red and blue photometers (RP and BP). Results. The overall astrometric performance is close to the expectations, with an optimal range of brightness G ∼ 12 - 17. In this range, the typical transit-level accuracy is well below 1 mas. For fainter asteroids, the growing photon noise deteriorates the performance. Asteroids brighter than G ∼ 12 are affected by a lower performance of the processing of their signals. The dramatic improvement brought by Gaia DR2 astrometry of SSOs is demonstrated by comparisons to the archive data and by preliminary tests on the detection of subtle non-gravitational effects.
Planetary and Space Science | 2012
Marco Delbo; Julie Gayon-Markt; Giorgia Busso; Antony Brown; L. Galluccio; C. Ordenovic; Philippe Bendjoya; P. Tanga
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Institut de mécanique céleste et de calcul des éphémérides
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