The Team

The CosmoPlasma project is a collaboration between the Istituto di Radioastronomia Bologna, the University of Minnesota and the supercomputer manufacturer Cray Inc. USA. A big thank you goes to Dan Herro for the Wombat logo.

Julius Donnert         

is a Marie Curie Fellow at the IRA Bologna, Italy and the University of Minnesota. He is known for his theoretical and numerical work on magnetic fields in clusters, radio haloes and radio relics. He is currently developing Wombat into a cosmological code.

Chris Nolting

is a postdoctoral researcher at the Los Alamos National Laboratory. His work has involved modeling the interactions of AGN jets and the intracluster medium and helping to develop the dark matter particle and cosmic ray electron capabilities in Wombat.

Gianfranco Brunetti

is a researcher at the IRA Bologna, Italy and supervising scientist of the project. He is well-known for the model of particle re-acceleration in giant radio haloes. These days he is working hard to establish LOFAR in Italy.

Peter Mendygral    

is a performance engineer at Cray Inc. USA and lead engineer in the team. Pete is an expert in performance optimization and grid methods for fluid dynamics. These days he spends way too much time in meetings about machine learning.

Thomas JoneS                          

is a full professor at the University of Minnesota, USA and the host scientist during the outgoing phase of the project. Tom has over 40 years of experience in Eulerian grid methods, plasma physics and particle acceleration by shocks in clusters. 

Collaborators

Prof. Dongsu Ryu

is a professor at the Ulsan National Institute in South Korea. He has made outstanding contributions to numerical methods of magnetized fluids in Astrophysics and cosmology as well as the magnetic dynamo in clusters. He has been leading the development of the MHD algorithms used in CosmoPlasmas.

Jeongbhin Seo

is a postdoctoral researcher at the UNIST. He has developed high-order accurate and realistic RHD code. He is currently developing and improving a high-order WENO algorithm for Wombat.

Paul Edmon