Collaborations
Nuclear Astrophysics is a multidisciplinary field that requires the collaboration of researchers from different areas of astronomy, and astrophysics, nuclear physics, computational science and engineering. The Computational Stellar Astrophysics group is engaged in several international collaborations to address challenging problems in a broad and comprehensive manner.
PPMstar collaboration
Web page: https://ppmstar.org
Our group has collaborated with Paul Woodward’s Laboratory of Computational Science and Engineering at the University of Minnesota since 2006. The work of the PPMstar collaboration is focused on the application and development of the PPMstar code, a state-of-the-art, 3D hydrodynamics code optimized for stellar astrophysical simulations. The code is used to study the evolution of stars, their interior hydrodynamic mixing and oscillation processes, and their impact on the Universe. The collaboration is supported by the National Science Foundation and the Natural Sciences and Engineering Research Council of Canada. The large-scale simulations are carried out on the Digital Alliance computer Niagara operated by SciNet at the University of Toronto.
NuGrid collaboration
Web page: https://www.nugridstars.org
The NuGrid collaboration is an international collaboration of researchers in nuclear astrophysics, astronomy, and computational science. The collaboration is focused on the development of a comprehensive set of stellar evolution and nucleosynthesis tools to study the origin of the elements in the Universe.
Canadian Nuclear Physics for Astrophysics Network (CaNPAN)
Web page: https://www.canpan.ca
The Canadian Nuclear Physics for Astrophysics Network (CaNPAN) brings nuclear physics and astrophysics and astronomy in Canada together to investigate the origin of the elements. An important emphasis is on the training of students in a broader range of topics. Students with their main project in nuclear physics are gaining experience in astrophysical simulations that reveal the impact of measured data, and astrophysics modeling students get experience in possibilities and limitations of nuclear physics experiments. The collaboration focusses on investigating nuclear physics data impact on astrophysical simulations of how the elements are made, for example in the dynamic convective environments of white dwarfs or merging neutron stars.