VIALACTEA is a EU FP7 project funded within the FP7-SPACE-2013-1 call with Grant Agreement No. 607380.
The VIALACTEA Consortium is made of 9 parties listed above, with reference short names defined for the rest of the document.
The Italian participation is through a single legal entity (INAF) but it is structured in four INAF Institutes distributed over the Country.
Université de Strasbourg participate as a Third Party of CNRS under Clause 10.
The VIALACTEA Consortium participants constitute a unique combination of people and research groups with a variety of expertise tailored
to the objectives identified in the project. These range from the theory and data analysis of galactic and extragalactic astronomy to Image
processing, data mining and machine learning experts.
INAF-IAPS, LAM-Marseille and University of Leeds are leading, and have led, extensive observational survey projects of the Galactic Plane.
They bring a decade-long expertise in the scientific analysis of large datasets: the science and data analysis concepts and methodologies at
the core of VIALACTEA, as well as the vision for the next generation 3D visual analytitcs and data mining applications outlined for this project,
are the result of the needs that have been identified in the course of these groups science activities.
MPIA and University of Cardiff will carry the much needed theoretical expertise in the field of cutting-edge radiative transfer codes and
grids of millions of pre-computed models for fast categorization of source properties and detail 3D modeling of complex extended structures.
The combined expertise of INAF-OACT and INAF-OACN will bring the needed know-how in the 3D visualization and data mining technologies needed to
implement the science analysis vision for hte next-generation tools. The two groups have been responsible for hte VisIVO VO tool and for the DAME
data mining suite. The combination of the efforts from LAM and the Virtual Observatory Team at INAF-OATS, will provide the necessary background
for guaranteeing the provision of VO compliant project results, both in terms of final products/catalogues and tools, as well as the new tools that
will be developed for this project.
The need for a common and interoperable workspace will be fulfilled thanks to the long-standing expertise of the groups at INAF-OACT, and MTA-SZTAKI expertise in the field of visual analytics applied to astronomy, as well as the Science Gateways infrastructures developed under FP7 project SCI-BUS that will be customised for the needs of the VIALACTEA project.
Many of the Project's Key-Personnel have decade-long scientific collaborations in place, and are already part of the Herschel/Hi-GAL consortium. By including these key-people (Molinari, Zavagno, Hoare, Robitaille) in the project's Steering Group we ensure that work progresses in the tracks a well-established tradition of consolidated managing habits and practices. Key people in the sources analysis tasks have participated both in defining the science case for the Hi-GAL proposal and in designing, implementing and utilising the existing key data reduction procedures. This expertise will help in the initial definition of the overall project scientific requirements and in the identification of early technical issues as well as theoretical ones.