Research
Researchers at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) conduct fundamental research in mathematics, astrophysics and high energy physics. The institute places significant emphasis on the exploration of interdisciplinary subjects that intersect these scientific domains and is performed within national and international collaborations.
Astrophysics
Research of Astrophysics is concentrating on the subject of high-energy astrophysics. The Universe forms a physics laboratory, in which events take place which cannot be recreated here on Earth and which are settled at the edge or even beyond the edge of our knowledge of physics. Exploring this edge and understanding how highly energetic astrophysical phenomena are caused and affect their surroundings is the main objective.
High Energy Physics
The research department of High Energy Physics performs exciting, cutting-edge theoretical and experimental research in Quantum Fields, Particles and Gravity. Its scientific aim is to understand the ultimate building blocks of matter, space, and time and the fundamental laws governing their interaction at extremely high energies and short distances, beyond currently established theories.
Mathematics
Mathematics inspires and fascinates, and at the same time makes an enormous contribution to society. The mission of the Mathematics department is to carry out research in mathematics at the highest scientific level. Research is based around Applied Mathematics, Applied Stochastics, Mathematical Physics and Pure Mathematics.
Projects
Researchers of IMAPP are involved in many research projects. View the latest added projects below and discover the complete list of projects.
SynOD: Alpha-Synuclein OMICS to identify Drug-targets
Developing statistical data integration approaches for omics datasets from various biological samples to identify genes and proteins involved in Parkinson’s Disease.
Functional data analysis approaches
In this project, we aim to develop new models and statistical methods for the analysis of data along a continuum.
New algebraic minimal models for topological spaces
This project aims to develop new concepts of minimal models for objects with multiplicative structures that arise in the mathematical fields of algebra and topology.
Data Management Policy
The Research Data Management (RDM) policy helps to make conscious decisions about research data and keeping data safe. For more information, please contact the institutional data steward: Andrew Levan.
Publications
IMAPP publishes in a variety of peer-reviewed scientific journals. On the platform Radboud Repository, you can find all publications as well as PhD dissertations of our researchers.