Philipp Arras

About

My professional thoughts revolve around computational statistics and physics. At the Max-Planck Institute for Astrophysics, I apply Bayesian statistics to imaging algorithms for radio telescopes. I aim to squeeze out all information present in radio data sets in order to arrive at the highest resolution possible together with uncertainty quantification. To this end, I develop theoretical models for inference algorithms and tailor them for the unification of calibration and imaging, multi-spectral imaging, polarization imaging, data fusion with single dish data and Very Long Baseline Interferometry (VLBI).

These ideas are condensed into various software projects: NIFTy (a Python library for Bayesian inference of fields), resolve (my radio imaging library), vlbi_resolve (the same thing for dynamic VLBI imaging) and ducc (which includes a non-uniform FFT specialized for radio interferometry). I hold a PhD in physics and am part of Rüdiger Westermann’s group (TU Munich) and Torsten Enßlin’s information field theory group (MPA Garching). My professional work is funded by the Ministry of Education and Research (BMBF) in context of the Verbundprojekt D-MeerKAT project.

During my masters at Heidelberg University I focused on String Theory, Quantum Field Theory and pure maths.

Papers and Publications

Reviewed papers

See also: arXiv, Google Scholar

Submitted papers

Theses

Misc

Software

Talks

Invited Talks

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