Responsible |
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Enrique Solano (ES) |
Description of work
Space missions (MOST, CoRoT, Kepler,…) has caused a dramatic increase of the asteroseismic data. Other present and future projects (Gaia, PLATO,…) will increase by a factor of hundreds the available datasets. Ground-based networks and dedicated photometric and spectroscopic follow-up observations also continuously increase the amount of related data. A proper understanding and full exploitation of this huge amount of information requires a similar leap forward on the theoretical side. The necessity of Big Data research has been identified as an urgent necessity and a major challenge by the international stellar physics community.
Comparison between observational and theoretical data, assessment of the coherence of theoretical models by performing sanity checks to identify potential systematic errors that could have an impact on the interpretation of observational datasets, discovery of the information (images, spectra, photometry, physical parameters,..) on targets of interest,…, all these are necessary tasks that can become tedious and quite inefficient due to the lack of interoperability among astronomical archives and services. This situation can, however, be greatly alleviated if all these activities are accomplished in the Virtual Observatory framework.
In this workpackage we plan to develop a Virtual Observatory compliant portal to allow an easy management (discovery, access and analysis) of the theoretical and observational datasets of relevance for the project. All the data products generated in the project will also be adapted to the VO standards and requirements to guarantee their seamless access and fully exploitation.
Deliverables
Risks: The impact in terms of overall risk to the project is limited.