Advances in the use of covariances in reactor applications via Monte Carlo perturbation theory for uncertainty quantification and nuclear data assimilation

A. Bidaud; M. Aufiero; M. Fratoni; G. Palmiotti; M. Salvatores

Conference papers

Advances in the use of covariances in reactor applications via Monte Carlo perturbation theory for uncertainty quantification and nuclear data assimilation

A. Bidaud ¹ M. Aufiero M. Fratoni G. Palmiotti M. Salvatores

1 LPSC - Laboratoire de Physique Subatomique et de Cosmologie

Document type :

Conference papers

Domain :

Physics [physics] / Nuclear Experiment [nucl-ex]

Complete list of metadata

http://hal.in2p3.fr/in2p3-01624244
Contributor : Emmanuelle Vernay Connect in order to contact the contributor
Submitted on : Thursday, October 26, 2017 - 10:09:00 AM
Last modification on : Tuesday, May 11, 2021 - 11:36:50 AM

Advances in the use of covariances in reactor applications via Monte Carlo perturbation theory for uncertainty quantification and nuclear data assimilation

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Advances in the use of covariances in reactor applications via Monte Carlo perturbation theory for uncertainty quantification and nuclear data assimilation

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