A probabilistic framework for uncertainty quantification in positron emission particle tracking

DOI10.1088/1361-6420/acc47dOpenAlexW4324319973MaRDI QIDQ5886394

Unnamed Author, Avshalom Offner, Jacques Vanneste

Publication date: 5 April 2023

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.09001

zbMATH Keywords

Bayesian inferenceuncertainty quantificationpositron emission particle tracking

Mathematics Subject Classification ID

Inverse problems in fluid mechanics (76M21)

Uses Software

• GATE
• BayesDA

Cites Work

• The probability of a random straight line in two and three dimensions
• Monte Carlo sampling methods using Markov chains and their applications

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