The Neutron Camera (NC) is a Joint European Torus (ET) diagnostic, based on a set of 19 collimated lines of sight equipped with plastic (BC418) and liquid (NE213) scintillators, with the main function of measuring the neutron emissivity profile due to 2.5 MeV (DD) and 14 MeV (DT). Due to several limitations of the present data acquisition system and in view of the JET DT campaign, an enhancement project (Neutron Camera Upgrade, NCU) was launched. The main objective was to improve the measurement capability of NC for 14 MeV neutrons, by application of a high throughput FPGA-based digital acquisition system. The present paper describes the hardware architecture and the FPGA processing selected for the NCU project and the first tests carried out at JET. (C) 2017 Published by Elsevier B.V.
Hardware architecture of the data acquisition and processing system for the JET Neutron Camera Upgrade (NCU) project / Riva, M.; Marocco, D.; Belli, F.; Esposito, B.; Pollastrone, F.; Bielecki, J.; Giacomelli, L.; Milocco, A.; Popovichev, S.; Subba, F.. - In: FUSION ENGINEERING AND DESIGN. - ISSN 0920-3796. - 123:(2017), pp. 873-876. [10.1016/j.fusengdes.2017.03.109]
Hardware architecture of the data acquisition and processing system for the JET Neutron Camera Upgrade (NCU) project
Subba, F.
2017
Abstract
The Neutron Camera (NC) is a Joint European Torus (ET) diagnostic, based on a set of 19 collimated lines of sight equipped with plastic (BC418) and liquid (NE213) scintillators, with the main function of measuring the neutron emissivity profile due to 2.5 MeV (DD) and 14 MeV (DT). Due to several limitations of the present data acquisition system and in view of the JET DT campaign, an enhancement project (Neutron Camera Upgrade, NCU) was launched. The main objective was to improve the measurement capability of NC for 14 MeV neutrons, by application of a high throughput FPGA-based digital acquisition system. The present paper describes the hardware architecture and the FPGA processing selected for the NCU project and the first tests carried out at JET. (C) 2017 Published by Elsevier B.V.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2986883