Towards Porting Astrophysics Visual Analytics Services in the European Open Science Cloud

Abstract

The European Open Science Cloud (EOSC) aims to create a federated environment for hosting and processing research data to support science in all disciplines without geographical boundaries such that data, software, methods and publications can be shared as part of an Open Science community of practice. This work presents the ongoing activities related to the implementation of visual analytics services, integrated in EOSC, towards addressing the diverse astrophysics user communities needs for data management, mapping and structure detection. These services relies on visualisation to manage the data life cycle process under FAIR principles, integrating data processing for imaging and multidimensional map creation and mosaicing, and, injecting machine learning techniques, for detection of structures in large scale multidimensional maps.