Criteria for assessing adjustment methodologies WPEC/SG33 June 2, 2010

Quantitative Criteria Computational effort: Rank of the matrices to be inverted Iterative: yes or not Is there any computational limitation (number of variables, experiments, etc.)? Typical running time for a defined number of variables/experiments Input/output burden: All cross sections are taken into account Only selected cross sections are considered (specify selection strategy) ?

Qualitative Criteria Are all reactions taken into accounts (mostly related to sensitivity coefficients calculations)? Can self shielding effects be explicitly treated? Can high order effects be taken into account? Can method uncertainties/bias be accounted for? How inelastic matrices and secondary energy distributions are treated? Fission prompt and delayed neutron spectra/data? How total cross section information is treated: explicitly, constraint, correlation, etc. ? Is consistency test present? How to quantify contribution of each exp (Cook distance)? Are cross correlations among variables taken into account? Are correlations among experiments taken into account? Are correlations among variables and experiments taken into accounts? Is a new covariance data set produced? Is the solution unique (local minima)? Integral experiment selection criteria?