6 papers
Nuclear data evaluation with Bayesian networks
Georg Schnabel, Roberto Capote, Arjan Koning +1
Bayesian networks are graphical models to represent the probabilistic relationships between variables in the Bayesian framework. The knowledge of all variables can be updated using…
Strangeness production in the new version of the Liège Intra-Nuclear Cascade model
J. Hirtz, J. -C. David, A. Boudard +5
The capabilities of the new version of the Liège Intra-Nuclear Cascade model (INCL++6) are presented in detail. This new version INCL is able to handle strange particles, such as k…
A computational EXFOR database
Georg Schnabel
The EXFOR library is a useful resource for many people in the field of nuclear physics. In particular, the experimental data in the EXFOR library serves as a starting point for nuc…
A first sketch: Construction of model defect priors inspired by dynamic time warping
Georg Schnabel, Henrik Sjöstrand
Model defects are known to cause biased nuclear data evaluations if they are not taken into account in the evaluation procedure. We suggest a method to construct prior distribution…
Fitting and Analysis Technique for Inconsistent Nuclear Data
Georg Schnabel
Consistent experiment data are crucial to adjust parameters of physics models and to determine best estimates of observables. However, often experiment data are not consistent due…
Estimating model bias over the complete nuclide chart with sparse Gaussian processes at the example of INCL/ABLA and double-differential neutron spectra
Georg Schnabel
Predictions of nuclear models guide the design of nuclear facilities to ensure their safe and efficient operation. Because nuclear models often do not perfectly reproduce available…