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

2. 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) ?

3. 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?