Samuel Farrens

My work is focused on the development of software for analysing astrophysical images. In particular, I design tools for solving inverse optimisation problems using regularisation techniques such as sparsity and the low-rank approximation. One example being the problem of deconvolving the effects of a telescope's PSF from galaxy images.

I am involved in the COSMIC project where we are developing tools that can be used for both astrophysical and magnetic resonance imaging. There is a lot of overlap between the types of problems that need to be solved in both fields and this project has provided an exciting and fruitful platform for cross-disciplinary collaboration.

I am also a member of the Euclid Constortium where I aim to apply some of the techniques to improve galaxy shape measurements and calibration.

Check out my website for more information, and links to software and tutorials.

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Affiliation – CEA Paris-Saclay, CosmoStat Position – Researcher Github ID – sfarrens Homepage – Twitter – @Sam_Farrens


PySAP: From Galaxies to Brains and Beyond

During this talk I will present the PySAP (Python Sparse data Analysis Package) package, a multidisciplinary image processing tool developed in collaboration between astrophysicists and biomedical imaging experts at CEA Paris-Saclay through the COSMIC project. I will provide some background on the core mathematical tools implemented in PySAP as well as demonstrating some of the diverse applications such as galaxy image deconvolution and magnetic resonance image reconstruction. I will also endeavour to relate how we managed the development of this package. Finally, I will conclude by sharing our plans for the future of PySAP and how this may impact other imaging domains.