Integration of GUASOM into the SPACIOUS Computing Platform

• Angel Regueiro ^[1] ; Marco A. Álvarez ^[1] ; Minia Manteiga ^[1] ; Carlos Dafonte ^[1]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
• Localización: Proceedings XoveTIC 2025: Impulsando el talento científico / coord. por Manuel Lagos Rodríguez, Hilda Romero-Velo, Álvaro Leitao , Javier Pereira-Loureiro , Manuel Penedo , 2026, ISBN 978-84-9749-925-5, págs. 185-192
• Idioma: inglés
• Enlaces
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• Resumen

  • The Science PlAtform Cloud Infrastructure for Outsize Usage Scenarios (SPACIOUS)project is developing a computational environment for astrophysical research using Big Datatechnologies, with the aim of enhancing the scientific exploitation of large volumes of data. To this end, data mining and Artificial Intelligence tools are being developed and integrated intothe platform. This paper presents the adaptation of GUASOM, a tool for the visualisation and analysis of Self-Organising Maps (SOM) aimed at analysing outliers from the Gaia mission. A Python applica-tion has been developed that allows these maps to be trained and loaded into GUASOM directlyfrom SPACIOUS Jupyter Notebooks, facilitating their integration and use in the project ecosys-tem.