activity
20182021
most citedStrangeness production in the new version of the Liège Intra-Nuclear Cascade model

27 citations · 85 across the 7 of their papers we have counts for

collaborators

7 papers

physics.data-an2021

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…

physics.data-an2020★ 24 cited

Conception and software implementation of a nuclear data evaluation pipeline

Georg Schnabel, Henrik Sjöstrand, Joachim Hansson +3

We discuss the design and software implementation of a nuclear data evaluation pipeline applied for a fully reproducible evaluation of neutron-induced cross sections of Fe a…

nucl-th2019★ 27 cited

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…

cs.DL2019★ 3 cited

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…

nucl-th2018★ 6 cited

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…

nucl-th2018★ 14 cited

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…

nucl-th2018★ 11 cited

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…