Frederik De Ceuster

Computational Physicist – Leuven Gravity Institute, KU Leuven

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Office 06.07 - Building 200D

Dept. of Physics & Astronomy

KU Leuven, Belgium

My research focuses on developing efficient and quantifiably accurate methods to simulate complex astrophysical processes, such as relativistic hydrodynamics, radiation transport, and chemistry. I like to test our understanding of physics by searching for ways to compare our most sophisticated models with our best observations.

As a Research Scientist at the Leuven Gravity Institute, I’m developing numerical models for sources of gravitational waves. Using probabilistic numerics, I test our current best theory of gravity: Einstein’s theory of General Relativity.

As a postdoc, I led the computational research division in the group of Prof. L. Decin at the Institute of Astronomy (KU Leuven). I obtained a PhD in computational astrophysics from University College London, working with Revd. Prof. J. Yates, Prof. P. Boyle, and Prof. J. Hetherington. There, I started developing Magritte: a software library for 3D line radiative transfer and synthetic obsevations. Prior to that, I obtained a BSc and MSc in Physics from KU Leuven.

selected publications

  1. ApJS
    Bayesian Model Reconstruction Based on Spectral Line Observations
    Frederik De Ceuster, Thomas Ceulemans, Leen Decin, and 2 more authors
    The Astrophysical Journal Supplement Series, Dec 2024
  2. Astron. Comput.
    Magritte, a modern software library for spectral line radiative transfer
    T. Ceulemans, F. De Ceuster, L. Decin, and 1 more author
    Astronomy & Computing, Oct 2024
  3. ApJ
    MACE: A Machine-learning Approach to Chemistry Emulation
    Silke Maes, Frederik De Ceuster, Marie Van de Sande, and 1 more author
    The Astrophysical Journal, Jul 2024
  4. MNRAS
    Radiative Transfer as a Bayesian Linear Regression problem
    F. De Ceuster, T. Ceulemans, J. Cockayne, and 2 more authors
    Monthly Notices of the Royal Astronomical Society, Feb 2023