Objectif
We propose to establish a training network for the development of intelligent devices and tools for cutting-edge applications in Astrophysics, High Energy Physics, Medical Physics and Telecommunications. The network aims to develop new technologies and algorithms, with a common theme of placing intelligence into data-acquisition, processing and transmission technologies very close to the information source. We consider three main applications: pixel detectors in the harsh radiation environment of CMS at LHC; novel SiPM devices for Positron Emission Tomography (PET) and an array of Cherenkov detectors spread over kilometers, forming a gamma-ray telescope (CTA). The chosen applications require extremely rapid “front-end” data processing, event selection, efficient transmission, and high-selectivity
The training programme is based on 5 technical work packages, focused on VDSM CMOS technology, 3D vertical interconnectivity, Silicon Photonics and Optical Wireless Communications, FPGA and CAM memories, and ACTA backplanes. The network comprises 5 academic nodes, 4 European Lab nodes, and 2 companies (Philips and THALES-SA) for a total of 11 full partners, all leading in their respective fields. Such a multi-disciplinary approach will provide unique opportunities for the career progression of the trainees and strengthen important research partnerships within Europe. International associated partners in Europe (CERN, and other leading companies), the USA (FNAL and companies) and Korea (Seoul University and Samsung) bring advanced and complementary technical capabilities. The combination of the technologies addressed promises to deliver dramatically increased performance in all application areas on the timescale of this project. The trained individuals will represent a highly valuable resource for European industry and academic research, helping to maintain European leadership in the forefront technologies addressed.
Champ scientifique
- natural sciencesphysical sciencestheoretical physicsparticle physics
- natural sciencesphysical sciencesastronomyastrophysics
- natural scienceschemical sciencesinorganic chemistrymetalloids
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunications
- natural sciencescomputer and information sciencesdata sciencedata processing
Appel à propositions
FP7-PEOPLE-2012-ITN
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Régime de financement
MC-ITN - Networks for Initial Training (ITN)Coordinateur
75794 Paris
France