Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Theoretical investigation of fission fragment kinetic energy distributions in the symmetric mass region for ²³³U(n_th,f)

Abdelaziz Chebboubi, Olivier Serot, Grégoire Kessedjian, Olivier Litaize, Aurelien Blanc, David Bernard, Herbert Faust, Sylvain Julien-Laferrière, Ulli Köster, Alain Letourneau

EPJ Web Conf., 146 (2017) 04063

Published online: 2017-09-13

DOI: https://doi.org/10.1051/epjconf/201714604063

This article has been cited by the following article(s):

Total kinetic energy release in the fast neutron induced fission of actinide nuclei

Walter Loveland
Frontiers in Physics 11 (2023)
https://doi.org/10.3389/fphy.2023.1234198

Investigation of neutron emission through the local odd-even effect as a function of the fission product kinetic energy

S. Julien-Laferrière, A. Chebboubi, G. Kessedjian, et al.
Physical Review C 102 (3) (2020)
https://doi.org/10.1103/PhysRevC.102.034602

Fission fragments observables measured at the LOHENGRIN spectrometer

S. Julien-Laferrière, L. Thombansen, G. Kessedjian, et al.
EPJ Web of Conferences 239 05017 (2020)
https://doi.org/10.1051/epjconf/202023905017

From fission yield measurements to evaluation: new statistical methodology applied to 235U(nth, f ) mass yields

Grégoire Kessedjian, Sidi Mohamed Cheikh, Abdelazize Chebboubi, Olivier Serot and T. Kawano
EPJ Web of Conferences 242 05001 (2020)
https://doi.org/10.1051/epjconf/202024205001

From fission yield measurements to evaluation: status on statistical methodology for the covariance question

Brieuc Voirin, Grégoire Kessedjian, Abdelaziz Chebboubi, et al.
EPJ Nuclear Sciences & Technologies 4 26 (2018)
https://doi.org/10.1051/epjn/2018030