Research transfer

The term "valorisation" refers to anything that can have a direct or indirect impact on the socio-economic fabric. This generally takes the form of a transfer of technologies and knowledge resulting from research to public or private partners.

In terms of contractualisation, this includes transfer contracts (patent licences, software, know-how, etc.), partnership research contracts (research collaboration, service provision, consulting team, CIFRE thesis, etc.), structuring partnerships (joint laboratories, industrial chairs, GIS, etc.), and other actions such as company creation, mobility, consultancy, etc.

The APC laboratory is involved in the construction of large ground-based observatories for astroparticle and cosmology. It also participates in the development of scientific payloads for space projects.

In this context, the laboratory's researchers and engineers develop expertise that is recognised and appreciated by all their partners:
 

  •  Photodetection: Scintillators (crystals and plastics), photodetectors (Photomultipliers, SiPM, APD...)
  •  Development of new detectors (Gamma cameras...)
  •  Optics, laser interferometry (VIRGO, LISA)
  •  Fast and massive signal acquisition
  •  Millimeter wave detectors: cryogenic temperature detectors, bolometry, SQUID, SPAD...
  •  R&D in cryogenics: design of innovative cryostats in collaboration with the company Mycryofirm and participation in the development of a thermoacoustic machine in collaboration with the company EQUIUM
  • Micro-electronics operating at cryogenic temperature and low-noise micro-electronics. Application in the development of new MRI systems in partnership with the startup Chipiron.
  • Space techniques and technologies
  • Qualification of components for severe environments (space, radioactive environments, deserts, underwater detectors, Antarctica...)
  • Expertise in reliability analysis and system reliability
  • Mechanical prototyping
  • Digital and analogue electronics
  • Programming of embedded systems
  • Scientific data processing (Face) and deep learning