Published September 7, 2014
| Version v1
Conference paper
Scientific perspectives from Gaia data of Solar System objects
Contributors
Others:
- Joseph Louis LAGRANGE (LAGRANGE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur ; Université Côte d'Azur (UniCA)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)
- Groupe Astrométrie et Planétologie (GAP) ; Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE) ; Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
- INAF - Osservatorio Astrofisico di Torino (OATo) ; Istituto Nazionale di Astrofisica (INAF)
- Helsingin yliopisto = Helsingfors universitet = University of Helsinki
- Univers, Théorie, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213) (UTINAM) ; Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
- Royal Observatory of Belgium = Observatoire Royal de Belgique (ROB)
Description
Gaia will collect asteroid observations over 5 years, with a limiting magnitude V~20 (>300,000 objects). Observations will include very precise astrometry and photometry, and low resolution spectra. Over the last few years, the Coordination Unit 4 of Gaia's Data Processing and Analysis Consortium has built the data reduction pipeline that will produce the expected products for Solar System science. We will outline the performances and limitations of these processing chains. The implementation of the pipelines is mainly devoted to a general treatment for deriving the bulk properties of the largest possible sample of minor planets. The DPAC processing is based uniquely on Gaia data, in order to produce a homogeneous outcome independent from other surveys.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-03735177
- URN
- urn:oai:HAL:hal-03735177v1
Origin repository
- Origin repository
- UNICA