Using the Monte-Carlo method to analyze experimental data and produce uncertainties and covariances

Using the Monte-Carlo method to analyze experimental data and produce uncertainties and covariances

The production of useful and high-quality nuclear data requires measurements with high precision and extensive information on uncertainties and possible correlations. Analytical treatment of uncertainty propagation can become very tedious when dealing with a high number of parameters. Even worse, th...

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Bibliographic Details
Main Authors: Henning Greg, Kerveno Maëlle, Dessagne Philippe, Claeys François, Dari Bako Nicolas, Dupuis Marc, Hilaire Stephane, Romain Pascal, de Saint Jean Cyrille, Capote Roberto, Boromiza Marian, Olacel Adina, Negret Alexandru, Borcea Catalin, Plompen Arjan, Paradela Dobarro Carlos, Nyman Markus, Drohé Jean-Claude, Wynants Ruud
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2023/10/epjconf_nd2023_01045.pdf

Internet

https://www.epj-conferences.org/articles/epjconf/pdf/2023/10/epjconf_nd2023_01045.pdf

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