Topics
The workshop is open to contributions on nuclear data observables (including e.g. cross sections, energy and angle spectra, yields, resonance parameter) from the resonance up to the high energy range as well as for light to heavy nuclei.
The following topics are of interest for the workshop:
Covariance evaluation methodology:
- Statistical basis of data evaluation -
Bayesian techniques, Estimation of priors, Unified Monte Carlo, Total Monte Carlo, etc.
- Methods for the estimation of covariance matrices
- Evaluation tools including uncertainty information
- Open issues: small evaluated uncertainties, model defect uncertainties, linearization in transport calculations, etc.
Covariance for and from nuclear data measurements:
- Covariance matrices coming from experiments, estimation procedure, details of analysis, problems specific to certain energy ranges (i.e. resonance range)
- Needs of evaluators concerning experimental uncertainty information
- Covariances between different experiments
- Numerical tools for estimating experimental covariances
- Dedicated experiments
- Integral experiments
Data evaluations including covariance matrices:
- Recent nuclear data evaluations
- Resonance analysis of nuclear cross sections
- Assessment of covariances in recent ENDF, JEFF, JENDL, etc. evaluated files, priority areas for improvements
Formatting for experimental and evaluated data:
- EXFOR
- ENDF, GND
- NJOY
Application of nuclear data covariances:
- Use of nuclear data covariances in fission and fusion research
- Neutron dosimetry in conventional and in fusion reactors
- Requirements on nuclear data covariances for safety, reactor and fuel cycle assessments
- Use of nuclear data covariances in medicine
- Transport codes
- Use and impact of covariance data in nuclear data adjustments
- Benchmarking using covariance matrices
- Impact and needs of covariances for sensitivity calculations
- Nuclear data covariances for astrophysics applications
