Speaker
Description
New developments in data analysis and visualization are nowadays critical to deal with the increased size and complexity of SKA and precursor data. Such efforts should be oriented to enable extraction of science information from the data in a mostly automated way, possibly exploiting the capabilities offered by modern computing infrastructures. In this context, looking at the experiences gained with the ASKAP and MeerKAT Galactic plane data, we realized that the integration of source analysis algorithms into data visualization tools could significantly improve and speed up the cataloguing process of large area surveys, boosting astronomer productivity and shortening publication times.
With this motivation, also following the design activities ongoing within the SKA Regional Center WGs, we are carrying out different SKA-related projects (such as CIRASA and NEANIAS) at INAF-OACT, in collaboration with other INAF institutes and external partners, to develop and integrate a set of cloud services for source analysis (e.g. extraction, classification), archive data retrieval, and data visualization into a common visual analytic platform. Services are being tested on a prototype European Open Science Cloud (EOSC) infrastructure, provided by GARR and also backed by INAF resources. Details on the activities will be reported at the workshop.
| Reasearch area | Our Galaxy |
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