Performance and optimization simulations of a GEM-based neutron detector
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2020
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REUNIÃO DE TRABALHO SOBRE FÍSICA NUCLEAR NO BRASIL, 43.
Resumo
In this study, we are investigating the performance and optimization of
a GEM-based detector to measure thermal neutrons from a nuclear reactor
by means of computer simulation, using Geant4 and Garfield++. Due to
the shortage of helium isotope, widely used in neutron gaseous detectors,
alternatives need to be studied to continue producing this kind of detectors.
The GEM detectors are a type of Micro-Pattern Gaseous Detectors (MPGD),
widely used in particle tracking systems, as the Time Projection Chamber
of the ALICE experiment in the LHC-CERN, and proposed for many other
applications, including neutron detection. The detection of neutrons occurs
through a nuclear reaction, where the products are energetic charged particles.
In our application, we are using 10B as a neutron converter to induce the
nuclear reaction 10B(n; )7Li. Monte Carlo simulations play an important
step in the development and optimization of this kind of detectors. We are
using a combination of simulation tools. At first, Geant4 is used to calculate
the interaction between neutrons and the boron converter layer, as well as
the transport of its products inside the converter. Then the interaction of the
reaction products with the gas volume, leading to ionization or excitation of
atoms, is done in Garfield++. This allows us to study the GEM in various
conditions and with a detailed description of electron avalanche through the
gas and its induced signals in order to achieve a tool to obtain optimized
detector configurations for different applications, as beam monitors.
Como referenciar
SANTOS, R.F.; MUNHOZ, M.G.; MORALLES, M. Performance and optimization simulations of a GEM-based neutron detector. In: REUNIÃO DE TRABALHO SOBRE FÍSICA NUCLEAR NO BRASIL, 43., 14-16 de dezembro, 2020, Online. Resumo... São Paulo, SP: Sociedade Brasileira de Física, 2020. Disponível em: http://repositorio.ipen.br/handle/123456789/31835. Acesso em: 30 Dec 2025.
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