Alessandra Zanichelli


Sessions

11-06
08:30
0min
The INAF radio data archive: from data publication to interoperability of time-domain data
Vincenzo Galluzzi, Marco Molinaro, Alessandra Zanichelli, Marta Burgay

The Italian National Institute for Astrophysics (INAF) manages three single dish radio telescopes (Medicina, Noto and Sardinia Radio Telescope, SRT). The three dishes are also part of the European VLBI Network and the International VLBI Service for Geodesy & Astrometry. Also, SRT is involved in international collaborations dedicated to pulsar observation, namely the European Pulsar Timing Array and the Large European Array for Pulsars project.
The increasing importance of Science Archives and archive mining in defining the ultimate productivity of an observing facility motivated the Italian Centre for Astronomical Archives (IA2) service to develop and maintain the INAF radio data archive. Such a geographically-distributed archival facility flexibly handles different data models and formats, also supporting data discovery/access through Virtual Observatory (VO). In this contribution I will give an overview of the archival system, focusing on dealing with the increasing data rates/volumes produced by time-domain observations with state-of-the-art digital backends. I will address issues posed by the standardisation of time-domain-related data formats under the perspective of metadata completeness, necessary for archival publication. Also, I will present the INAF effort in modeling such data to enable their discoverability through VO tools and services.
Besides publishing radio data from the Italian radio telescopes, IA2 is also committed to provide access to data from international facilities and projects (such as ALMA data from ESO CalMS and Additional Representative Images for Legacy, ARI-L). I will finally mention the IA2 roadmap towards a modern Science Gateway, allowing users to produce advanced data products starting from telescope raw observations.

Science with data archives: challenges in multi-wavelength and time domain data analysis
Posters
11-06
08:30
0min
Prototyping access from visualisation tools to SKA science images and cubes stored in a rucio DataLake through IVOA discovery and access services
François Bonnarel, Susana, Marco Molinaro, Pierre Fernique, Vincenzo Galluzzi, Thomas Boch, Manuel Parra-Royón, caroline bot, Mark Allen, Jesus Salgado, Matthieu Baumann, Alessandra Zanichelli

Prototyping access from visualisation tools to SKA science images and cubes stored in a rucio DataLake through IVOA discovery and access services.

M.Allen, R.Barnsley, M.Baumann, F.Bonnarel, T.Boch, C.Bot, R.Butora, J.Collinson, P.Fernique, V.Galluzzi., R Joshi, M.Molinaro, M. Parra-Royon, J. Sanchez-Castaneda , S. Sanchez-Exposito, G.Tudisco, F .Vitello A.Zanichelli.

SKA is the major low frequency radioastronomy project of the future with several major scientific applications: It will upgrade the amount of available science data by several orders of magnitudes reaching eventually more than 700 petabytes of storage per year. The SKA observatory will proceed to the initial data processing to deliver observatory data products while the SKA Regional Center network (SRC) will provide storage for those and processing capabilities to deliver and store advanced data products for the user community.
Within the scope of the SRC network, Orange (visualisation), Magenta (data management) and Coral (node implementation) teams have prototyped the discovery acces and visualisation of science data. Our visualisation tools VisiVO and Aladin discover, access and visualize test science data produced by SKA pathfinders stored in the rucio DataLake. Science metadata functionality has been implemented by the Magenta team to the Rucio data lake prototype to demonstrate a means of enabling IVOA-compliant data discovery and server-side processing.
VisiVo, Aladin Desktop and Aladin Lite are able to query the Discovery service built on ObsCore and SCS IVOA protocols.
This allows them to load DataLink responses providing links towards a SODA cutout service developed by the Orange team able to extract subcubes or images directly from the datasets stored in the rucio DataLake.
The Rucio Storage Element and SODA developments have been deployed and configured on the Spanish SRC node, providing computing and storage resources, managed by the Coral Team members. This prototype paves the way to collaborative development in the SKA regional center network and shows the possible integration of VO services and visualisation tools in DataLakes and science platforms.

Science with data archives: challenges in multi-wavelength and time domain data analysis
Posters