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

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

Type de document :

Communication dans un congrès

4th International Workshop on Nuclear Data Covariances (CW 2017), Oct 2017, Aix en provence, France. 〈http://www.cw2017.com/〉

Domaine :

Physique [physics] / Physique Nucléaire Expérimentale [nucl-ex]

Liste complète des métadonnées

http://hal.in2p3.fr/in2p3-01624244
Contributeur : Emmanuelle Vernay <>
Soumis le : jeudi 26 octobre 2017 - 10:09:00
Dernière modification le : lundi 9 avril 2018 - 12:22:11

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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