V. V. Orlov, A. A. Van'kov, V. I. Voropaev, Y. A. Kazansky, V. I. Matveev et al., Problems of fast reactor physics related to breeding, Energy Rev, vol.4, p.991, 1980.

A. Gandini, Comitato nazionale per la ricerca e per lo sviluppo dell energia nucleare e delle energie alternative, 1983.

P. Blaise and E. Fort, Resonance parameter adjustement methodoloby based on integral experiment analysis, Nucl. Sci. Eng, vol.133, p.235, 1999.

T. Ivanova, E. Ivanov, and F. Ecrabet, Uncertainty assessment for fast reactors based on nuclear data adjustment, Nucl. Data Sheets, vol.118, p.592, 2014.

C. Jean, Evaluation of cross section uncertainties using physical constraints: focus on integral experiments, Nucl. Data Sheets, vol.123, p.178, 2015.

E. Privas, Generation of 238U covariance matrices by using the integral data assimilation technique of the CONRAD code, EPJ Web Conf, vol.106, p.4015, 2016.

G. Palmiotti, Combined use of integral experiments and covariance data, Nucl. Data Sheets, vol.118, p.596, 2014.

L. N. Usachev and Y. G. Bokkov, INDC(CCP)-19/U, International Nuclear Data Committee, 1972.

G. Palmiotti and M. Salvatores, Use of integral experiments in the assessment of large liquid-metal fast breeder reactor basic design parameters, Nucl. Sci. Eng, vol.87, p.333, 1984.

C. Jean, E. Dupont, M. Ishikawa, G. Palmioti, and M. Salvatores, Assessment of existing nuclear data adjustment methodologies, Nuclear Science NEA/WPEC, vol.33, 2010.

P. Archier, Nuclear data covariance matrices library for reactor applications, COMAC, 2014.

N. Terranova, Covariance generation and uncertainty propagation for thermal and fast neutron induced fission yields, EPJ Web Conf, vol.146, p.2013, 2017.

T. Frosio, T. Bonaccorsi, and P. Blaise, Nuclear data uncertainties propagation methods in Boltzmann/Bateman coupled problem: application to reactivity in MTR, Ann. Nucl. Energy, vol.90, p.303, 2016.

T. Frosio, T. Bonaccorsi, and P. Blaise, Fission yields and cross section uncertainty propagation in Boltzmann/Bateman coupled problems: global and local parameters analysis with a focus on MTR, Ann. Nucl. Energy, vol.98, p.43, 2016.

T. Frosio, T. Bonaccorsi, and P. Blaise, Manufacturing data uncertainties propagation method in burn-up problems, Sci. Technol. Nucl. Ins, vol.2017, p.7275346, 2017.

, Methods and issues for the combined use of integral experiments and covariance data, Nuclear Science, vol.445, 2013.

M. Salvatores, Needs and issues of covariance data application, Nucl. Data Sheets, vol.109, p.2725, 2008.

N. Dossantos, Optimisation de l'approche de représentativité et de transposition pour la conception neutronique de programmes expérimentaux dans les maquettes critiques, vol.2013, p.33

W. S. Yang and T. J. Downar, Depletion perturbation theory for the constrained equilibrium cycle, Nucl. Sci. Eng, vol.102, p.365, 1989.

G. Palmiotti and M. Salvatores, Developments in sensitivity methodologies and the validation of reactor physics calculations, Sci. Technol. Nucl. Ins, vol.2012, p.529623, 2012.

T. Frosio, T. Bonaccorsi, and P. Blaise, Extension of Bayesian inference for multi-experimental and coupled problem in neutronics À a revisit of the theoretical approach, EPJ Nuclear Sci. Technol, vol.4, p.19, 2018.