Author/Authors :
Ronchi، نويسنده , , E. and Conroy، نويسنده , , S. and Andersson Sundén، نويسنده , , E. and Ericsson، نويسنده , , G. and Gatu Johnson، نويسنده , , M. and Hellesen، نويسنده , , C. and Sjِstrand، نويسنده , , H. and Weiszflog، نويسنده , , M.، نويسنده ,
Abstract :
Tomographic reconstruction techniques typically require computationally intensive algorithms which are not suitable for real-time application. This paper describes a framework to perform neutron emissivity tomography at the Joint European Torus (JET) using neural networks with successful results over a broad range of magnetic configurations, heating and fueling schemes. Application times in the μ s time scale allows for real-time applicability of the method.
Keywords :
KN3 , Neutron camera , Neutron profile monitor , Neutron emissivity , NEURAL NETWORKS , Real-time , Trace tritium experiment , TTE
