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 : mardi 22 mai 2018 - 21:48:11

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

Identifiants

Collections

Citation

Exporter

Métriques

72

Contact

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

Identifiants

Collections

Citation

Exporter

Partager

Métriques

72

Contact