Ponente
Sr.
Marco A. Alvarez
(Universidade de A Coruña)
Descripción
Gaia is one of the key missions of the European Space Agency (ESA), which will conduct a census of the Milky Way with unprecedented accuracy. It is expected to perform observations of an estimated one billion objects, representing roughly 1% of the objects in our Galaxy. It constitutes the biggest amount of data gathered to date and to perform such a task, the Data Processing and Analysis Consortium (DPAC) was organized. It is structured in nine Coordination Units (CU) each one responsible of different tasks related to the processing and management of the data.
Our research group is member of the units 8 and 9, in the first one we are developing data mining techniques in order to perform classification of outliers and astrophysical parameter estimations for stars, while in the second one we are developing various tools in order to make data accessible to the scientific community.
The purpose of this text is to explain the work that we are doing for the Gaia mission, focusing on the CU9 part, where we have developed a visualization tool useful for the community in order to understand the current classifications of the stars and allowing them to perform its own classifications and analysis of the data.
Autor primario
Sr.
Marco A. Alvarez
(Universidade de A Coruña)
Coautores
Prof.
Carlos Dafonte
(Universidade da Coruña)
Sr.
Daniel Garabato
(Universidade da Coruña)
Dr.
Minia Manteiga
(Universidad de A Coruña)
