A Bayesian approach for neutral particles source estimation

DOI10.1080/17415977.2020.1776273zbMath1470.62046OpenAlexW3037195202MaRDI QIDQ5153247

L. B. Barichello, C. B. Pazinatto, Helcio R. B. Orlande

Publication date: 29 September 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1776273

zbMATH Keywords

inverse problemsMarkov chain Monte CarloBayesian inferenceanalytical methodsadjoint transport equationparticle source estimation

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Boltzmann equations (35Q20)

Cites Work

• Statistical and computational inverse problems.
• A numerical method for multigroup slab-geometry discrete ordinates problems with no spatial truncation error
• Fluorescence molecular imaging based on the adjoint radiative transport equation
• On the use of the adjoint operator for source reconstruction in particle transport problems
• Energy Dependent Source Reconstructions via Explicit Formulations of the Adjoint Particles Flux
• Application of Variational Variance Reduction for Source-Detector Problems in Nuclear Non-proliferation
• Single-stage reconstruction algorithm for quantitative photoacoustic tomography
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