15 research outputs found
FENDL: A library for fusion research and applications
The Fusion Evaluated Nuclear Data Library (FENDL) is a comprehensive and
validated collection of nuclear cross section data coordinated by the
International Atomic Energy Agency (IAEA) Nuclear Data Section (NDS). FENDL
assembles the best nuclear data for fusion applications selected from available
nuclear data libraries and has been under development for decades. FENDL
contains sub-libraries for incident neutron, proton, and deuteron cross
sections including general purpose and activation files used for particle
transport and nuclide inventory calculations.
We describe the history, selection of evaluations for the various
sub-libraries (neutron, proton, deuteron) with the focus on transport and
reactor dosimetry applications, the processing of the nuclear data for
application codes, and the development of the TENDL-2017 library which is the
currently recommended activation library for FENDL. We briefly describe the
IAEA IRDFF library as the recommended library for dosimetry fusion
applications. We also present work on validation of the neutron sub-library
using a variety of fusion relevant computational and experimental benchmarks. A
variety of cross section libraries are used for the validation work including
FENDL-2.1, FENDL-3.1d, FENDL-3.2, ENDF/B-VIII.0, and JEFF-3.2 with the emphasis
on the FENDL libraries. The results of the experimental validation showed that
the performance of FENDL-3.2b is at least as good and in most cases better than
FENDL-2.1.
Future work will consider improved evaluations developed by the International
Nuclear Data Evaluation Network (INDEN). Additional work will be needed to
investigate differences in gas production in structural materials. Covariance
matrices need to be updated to support the development of fusion technology.
Additional validation work for high-energy neutrons, protons and deuterons, and
the activation library will be needed.Comment: 81 pages, 114 figure
Developing sensor technologies to inform breeding approaches to reduce damaging behaviour in laying hens and pigs: The GroupHouseNet approach
The European COST Action GroupHouseNet aims to provide synergy for preventing damaging behaviour in group-housed pigs and laying hens. One area of focus of this network is how genetic and genomic tools can be used to breed animals that are less likely to develop damaging behaviour directed at their pen-mates. Reducing damaging behaviour in large groups is a challenge, because it is difficult to identify and monitor individual animals. With the current developments in sensor technologies and animal breeding, there is the possibility to identify individual animals, monitor individual behaviour, and link this information to the genotype. Using a combination of sensor technologies and genomics enables us to select against damaging behaviour in pigs and laying hens.</p