Objective
SCINTILLA aims at building an innovative comprehensive toolbox of devices and best-of-breed technologies for the enhanced detection and identification of difficult to detect radioactive sources and nuclear material:
• Dealing with the challenge of masked and shielded material
• Developing effective solutions, which are reliable, portable / mobile and cost effective
• Finding a reliable replacement for Helium-3, which is the major consumable for today's RPM (Radiation Portal Monitors) devices for neutron detection and has become close to unavailable in the European Union.
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SCINTILLA will innovate in two technology areas that offer complementary capabilities for detecting and identifying neutron and gamma addressing different usage contexts:
• Scintillation materials (organic and inorganic) that exhibit fluorescence light when excited by ionizing radiation
• CZT (CdZnTe or Cadmium Zinc Telluride) whose direct band-gap semiconductor capabilities make it adequate for radiation detection and gamma spectrometry.
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Furthermore the SCINTILLA Test-bed Service and annual Technology Benchmarks will respectively support and select the technologies; they will be also open to third party developments. The resulting selection of best-of-breed technologies will then be integrated into full prototype devices, which will be ready for assessment in selected usage cases under (close to) real-life conditions. To reflect the different TRL of technologies under development the project will proceed in two stages with usage assessments at midterm and project end.
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The SCINTILLA Toolbox will be provided with User Guidelines and a Technology Handbook for integrators. SCINTILLA will also develop and promote communication protocols and standards.
Around the Test-bed and Benchmarks a sustainable SCINTILLA Partnership Network will be built, a worldwide community of technology providers, experts and users around the topic of detection technologies.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical sciencesinorganic chemistrytransition metals
- natural sciencesphysical sciencesnuclear physics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
Call for proposal
FP7-SEC-2011-1
See other projects for this call
Funding Scheme
CP-FP - Small or medium-scale focused research projectCoordinator
75015 PARIS 15
France