Articolo in rivista, 2022, ENG, 10.1063/5.0101611

A new dedicated signal processing system for gamma-ray spectrometers in high power DT plasmas scenarios in tokamaks

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

Keywords

gamma-ray spectroscopy, nuclear diagnostics, plasma diagnostics, signal processing, nuclear fusion

CNR authors

Rigamonti Davide, Grosso Giovanni Maria, Gorini Giuseppe, Nocente Massimo, Dal Molin Andrea, Perelli Cippo Enrico, Rebai Marica, Muraro Andrea, Tardocchi Marco

CNR institutes

ISTP – Istituto per la Scienza e Tecnologia dei Plasmi

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

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