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Your search keyword '"Service de Métrologie Nucléaire"' showing total 3 results
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3 results on '"Service de Métrologie Nucléaire"'

1. Energy dependence of the energy loss function parametrization of indium in the Drude-Lindhard model

Author

Pauly, N., Dubus, A., Monier, G., Robert-Goumet, Christine, Mahjoub, M., Bideux, L., Gruzza, B., Service de Métrologie Nucléaire (CP165/84), Université libre de Bruxelles (ULB), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA), and Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014
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2. Experimental and theoretical study of the ratio between the electron emission yield and the electronic stopping power for protons incident on thin carbon foils

Author

Alain Dubus, Michael Beuve, M. Rösler, Nicolas Pauly, Alexander Clouvas, M. Caron, Benoit Gervais, Hermann Rothard, Constantinos Potiriadis, Service de Métrologie Nucléaire (CP165/84), Université libre de Bruxelles (ULB), Hahn-Meitner-Institut, Centre Interdisciplinaire de Recherche Ions Lasers (CIRIL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Department of Electrical and Computer Engineering, Aristotelian University, Greek Atomic Energy Commission, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), and Greek Atomic Energy Commission (EEAE)

Subjects
010506 paleontology, Nuclear and High Energy Physics, Range (particle radiation), chemistry.chemical_element, Electron, Kinetic energy, Proton energy, 7. Clean energy, 01 natural sciences, Ion, chemistry, Yield (chemistry), 0103 physical sciences, Stopping power (particle radiation), Atomic physics, 010306 general physics, Instrumentation, Carbon, 0105 earth and related environmental sciences
Abstract

International audience; It is often assumed that the kinetic electron emission yield γ is proportional to the electronic stopping power dE/dx for ions incident on solid targets. Though these two phenomena are based on the same physical process in which the incident ions lose their energy in the target in electron excitations, there is no reason why the ratio Λ=γ/(dE/dx) should be constant. We present in this paper a comparison between experimental and theoretical results for protons incident on thin carbon foils in a wide energy range (200 keV-9.2 MeV). The ratios ΛB=γB/(dE/dx) and ΛF=γF/(dE/dx) for both the backward (B) and forward (F) emission yields are studied as a function of the incident proton energy as well as the target thickness.

Published
2002
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3. Stochastic programming in dynamic reliability

Author

Bourgeois, Frédéric, Labeau, Pierre-Etienne, Service de Métrologie Nucléaire, Université libre de Bruxelles (ULB), and Bourgeois, Frédéric

Subjects
[MATH.MATH-SG] Mathematics [math]/Symplectic Geometry [math.SG], [MATH.MATH-SG]Mathematics [math]/Symplectic Geometry [math.SG]
Abstract

International audience; PSA results are expected to be used to improve the design, the operating procedures or the safety policy of a system. It then appears logical to combine a risk analysis with an optimisation procedure, aiming at minimising a cost function to determine the most appropriate strategy. This idea is applied in this work to dynamic systems, i.e. installations for which the probabilistic risk analysis must be conducted using dynamic reliability methods. As several system parameters can be uncertain, the cost function turns out to be a random variable. Stochastic programming techniques are convenient for such calculations. The whole optimisation procedure is presented, and a first application of the algorithm on a HNO3 supply system is provided.

Published
1999

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