TY - GEN
T1 - Thermal neutron scattering evaluation framework
AU - Chapman, Chris
AU - Leal, Luiz
AU - Rahnema, Farzad
AU - Danon, Yaron
AU - Arbanas, Goran
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2017.
PY - 2017/9/13
Y1 - 2017/9/13
N2 - A neutron scattering kernel data evaluation framework for computation of model-dependent predictions and their uncertainties is outlined. In this framework, model parameters are fitted to double-differential cross section measurements and their uncertainties. For convenience, the initial implementation of this framework uses the molecular dynamics model implemented in the GROMACS code. It is applied to light water using the TIP4P/2005f interaction model. These trajectories computed by GROMACS are then processed using nMOLDYN to compute the density of states, which is then used to calculate the scattering kernel using the Gaussian approximation. Double differential cross sections computed from the scattering kernel are then fitted to double-differential scattering data measured at the Spallation Neutron Source detector at Oak Ridge National Laboratory. The fitting procedure is designed to yield optimized model-parameters and their uncertainties in the form of a covariance matrix, from which new evaluations of thermal neutron scattering kernel will be generated. The Unified Monte Carlo method will be used to fit the simulation data to the experimental data.
AB - A neutron scattering kernel data evaluation framework for computation of model-dependent predictions and their uncertainties is outlined. In this framework, model parameters are fitted to double-differential cross section measurements and their uncertainties. For convenience, the initial implementation of this framework uses the molecular dynamics model implemented in the GROMACS code. It is applied to light water using the TIP4P/2005f interaction model. These trajectories computed by GROMACS are then processed using nMOLDYN to compute the density of states, which is then used to calculate the scattering kernel using the Gaussian approximation. Double differential cross sections computed from the scattering kernel are then fitted to double-differential scattering data measured at the Spallation Neutron Source detector at Oak Ridge National Laboratory. The fitting procedure is designed to yield optimized model-parameters and their uncertainties in the form of a covariance matrix, from which new evaluations of thermal neutron scattering kernel will be generated. The Unified Monte Carlo method will be used to fit the simulation data to the experimental data.
UR - http://www.scopus.com/inward/record.url?scp=85030469682&partnerID=8YFLogxK
U2 - 10.1051/epjconf/201714613007
DO - 10.1051/epjconf/201714613007
M3 - Conference contribution
AN - SCOPUS:85030469682
T3 - EPJ Web of Conferences
BT - ND 2016
A2 - Siegler, Peter
A2 - Mondelaers, Wim
A2 - Plompen, Arjan
A2 - Hambsch, Franz-Josef
A2 - Schillebeeckx, Peter
A2 - Kopecky, Stefan
A2 - Heyse, Jan
A2 - Oberstedt, Stephan
PB - EDP Sciences
T2 - 2016 International Conference on Nuclear Data for Science and Technology, ND 2016
Y2 - 11 September 2016 through 16 September 2016
ER -