Eric Barat
Université Paris-Saclay
42 Papers
172 Citations
Eric Barat is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Dirichlet distribution & Posterior probability. The author has an hindex of 9, co-authored 37 publications. Previous affiliations of Eric Barat include Alternatives.
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Papers
Influence of bismuth loading in polystyrene-based plastic scintillators for low energy gamma spectroscopy
Guillaume H. V. Bertrand,Fabien Sguerra,Chrystele Dehe-Pittance,Frederick Carrel,Romain Coulon,Stephane Normand,Eric Barat,Thomas Dautremer,T. Montagu,Matthieu Hamel +9 more
TL;DR: In this article, the synthesis and the blend of bismuth complexes in polystyrene based plastic scintillators was presented, and a specific design has enabled the fabrication of a SCintillator loaded with up to 17 wt% of Bismuth.
42
A bimodal Kalman smoother for nuclear spectrometry
TL;DR: In this paper, a new representation of radiation signals based on a bimodal state space model is proposed, which leads to a breakthrough in quantitative analysis for high particles rates.
25
Nonparametric bayesian inference in nuclear spectrometry
Eric Barat,Thomas Dautremer,T. Montagu +2 more
- 01 Oct 2007
TL;DR: In this paper, a hierarchical polya tree-Dirichlet mixture of normal kernels is proposed for X/gamma-ray spectra estimation in the fields of nuclear physics.
17
Delayed gamma power measurement for sodium-cooled fast reactors
Romain Coulon,Stephane Normand,G. Ban,Eric Barat,T. Montagu,Thomas Dautremer,H.-P. Brau,V. Dumarcher,M. Michel,L. Barbot,T. Domenech,Karim Boudergui,J.-M. Bourbotte,P. Jousset,G. Barouch,S. Ravaux,Frederick Carrel,N. Saurel,A.-M. Frelin-Labalme,H. Hamrita,Vladimir Kondrasovs +20 more
TL;DR: In this paper, the ADONIS gamma pulse analyzer was used for power measurement at the French Phenix sodium-cooled fast reactor at CEA Marcoule, in order to improve the economic efficiency at nominal operating point.
15
A discrete-continuous Bayesian model for Emission Tomography
Mame Diarra Fall,Eric Barat,Claude Comtat,Thomas Dautremer,T. Montagu,Ali Mohammad-Djafari +5 more
- 29 Dec 2011
TL;DR: A hierarchical model is proposed and used for the MCMC schemes to generate samples from the posterior activity distribution and compute its functionals (mean, standard deviation etc.) and compared to another Bayesian method, the maximum a posteriori estimation (MAP), which is based on a fully discrete-discrete problem formulation.
14