Computational Astrophysics

Computational Astrophysics is a rapidly growing branch of astrophysical research. Computer models simulate the fundamental physical processes at work in distant astronomical objects, seeking to accurately account for new observational data coming from large-scale surveys and precision observations. Researchers in the department develop novel numerical methods, including N-body codes, gravity and hydrodynamic schemes, radiative transfer codes, chemical networks, and large-volume data mining techniques, to model:

  • cosmology: structure formation, dark matter dynamics
  • galaxies and galaxy clusters: formation, evolution, dynamics, morphology classification
  • active galactic nuclei: feedback effects
  • relativistic jets
  • interstellar medium: dynamics, chemistry, initial conditions for star formation
  • star and planet formation: gas fragmentation, evolution of protoplanetary accretion disks
  • accretion disks: structure, evolution, radiative signatures
  • astrochemistry



Ted Bergin Oleg Gnedin Emily Rauscher
Nuria Calvet Tim McKay  
Gus Evrard Mateusz Ruszkowski  


Research Scientists & Postdocs

Alicia Aarnio Fujun Du  
Pedro R. Capelo Philip Hughes  


Graduate Students

Hui Li    


Image Credit: NASA/AEI/ZIB/M. Koppitz & L. Rezzolla