Articolo in rivista, 2022, ENG, 10.1063/5.0101611
Marcer G.; Khilkevitch E.; Shevelev A.; Croci G.; Dal Molin A.; Gorini G.; Grosso G.; Muraro A.; Nocente M.; Perelli Cippo E.; Putignano O.; Rebai M.; Rigamonti D.; de la Luna E.; Garcia J.; Kazakov Y.; Kiptily V.; Maslov M.; Nave M.F.F.; Ongena J.; Tardocchi M.
Department of Physics, University of Milan-Bicocca, Milan, Italy; Ioffe Institute, St. Petersburg, Russian Federation; CNR ISTP - Institute for Plasma Science and Technology, CNR, Milan, Italy; Laboratorio Nacional de Fusión, CIEMAT, Madrid, Spain; IRFM, Saint-Paul-lez-Durance, CEA, France; Laboratory for Plasma Physics, ERM/KMS, Brussels, Belgium; Culham Centre for Fusion Energy, United Kingdom Atomic Energy Authority, Abingdon, United Kingdom; Associacao EURATOM/IST, Universidade Tecnica de Lisboa, Lisbon, Portugal.
The most performant deuterium-tritium (DT) plasma discharges realized by the Joint European Torus (JET) tokamak in the recent DT campaign have produced neutron yields on the order of 1018 n/s. At such high neutron yields, gamma-ray spectroscopy measurements with scintillators are challenging as events from the neutron-induced background often dominate over the signal, leading to a significant fraction of pileup events and instability of the photodetector gain along with the consequent degradation of the reconstructed spectrum. Here, we describe the solutions adopted for the tangential lanthanum bromide spectrometer installed at JET. A data acquisition system with free streaming mode digitization capabilities for the entire duration of the discharge has been used to solve dead-time related issues and a data reconstruction code with pileup recovery and photodetector gain drift restoration has been implemented for off-line analysis of the data. This work focuses on the acquired data storage and parsing, with a detailed explanation of the pileup recovery and gain drift restoration algorithms.
Review of scientific instruments online 93 (9), pp. 093525-1–093525-5
gamma-ray spectroscopy, nuclear diagnostics, plasma diagnostics, signal processing, nuclear fusion
Rigamonti Davide, Grosso Giovanni Maria, Gorini Giuseppe, Nocente Massimo, Dal Molin Andrea, Perelli Cippo Enrico, Rebai Marica, Muraro Andrea, Tardocchi Marco
ID: 472265
Year: 2022
Type: Articolo in rivista
Creation: 2022-10-20 10:19:55.000
Last update: 2022-11-09 12:14:56.000
CNR institutes
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:472265
DOI: 10.1063/5.0101611
Scopus: 2-s2.0-85139095168
ISI Web of Science (WOS): 000869109200007