Publication

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau
2020
Conference Papers

Abstract

This article presents the methodology developed to generate and use dosimeter covariances and to estimate nuisance parameters for the PETALE experimental programme. In anticipation of the final experimental results, this work investigates the consideration of these experimental correlations in the Bayesian assimilation process on nuclear data. Results show that the assimilation of a given set of dosimeters provides a strong constraint on some of the posterior reaction rate predictions of the other dosimeters. It confirms that, regarding the assimilation process, the different sets of dosimeters are correlated.

Official source

https://infoscience.epfl.ch/entities/publication/248aed26-ffce-468b-b7b4-58ecccb41ca5

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Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau
2020
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/248aed26-ffce-468b-b7b4-58ecccb41ca5

About this result

Related concepts (20)

Data assimilation

Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical) knowledge of the system being observed, to set numerical parameters based on training a model from observed data.

Cultural assimilation

Cultural assimilation is the process in which a minority group or culture comes to resemble a society's majority group or assimilate the values, behaviors, and beliefs of another group whether fully or partially. The different types of cultural assimilation include full assimilation and forced assimilation. Full assimilation is the more prevalent of the two, as it occurs spontaneously. When used as a political ideology, assimilationism refers to governmental policies of deliberately assimilating ethnic groups into the national culture.

Kalman filter

For statistics and control theory, Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, who was one of the primary developers of its theory.

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Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

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