Back to Search Start Over

Toward porting Astrophysics Visual Analytics Services to the European Open Science Cloud

Authors :
Sciacca, Eva
Vitello, Fabio
Becciani, Ugo
Bordiu, Cristobal
Bufano, Filomena
Calanducci, Antonio
Costa, Alessandro
Raciti, Mario
Riggi, Simone
Source :
Proceedings of the 2020 Computing Conference article has been queued for publication in the Proceedings of the 2020 Computing Conference. Article queued for publication in the Proceedings of the 2020 Computing Conference
Publication Year :
2020

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 into EOSC, towards addressing the diverse astrophysics user communities needs. These services rely on visualisation to manage the data life cycle process under FAIR principles, integrating data processing for imaging and multidimensional map creation and mosaicing, and applying machine learning techniques for detection of structures in large scale multidimensional maps.

Details

Database :
arXiv
Journal :
Proceedings of the 2020 Computing Conference article has been queued for publication in the Proceedings of the 2020 Computing Conference. Article queued for publication in the Proceedings of the 2020 Computing Conference
Publication Type :
Report
Accession number :
edsarx.2007.06222
Document Type :
Working Paper
Full Text :
https://doi.org/10.1007/978-3-030-52243-8_43