Christoph Weniger (GRAPPA, University of Amsterdam) “Towards precision strong lensing searches for dark matter substructure with neural wake sleep”

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The search for dark matter substructure in strong lensing images is a technically highly challenging task. Challenges include the marginalization over an extremely large number of parameters and image regularization with non-trivial geometries, and are common to many data analysis tasks in astronomy and particle physics. In this talk, I will expose the significant limitations of traditional likelihood-based approaches. I will then provide an overview over modern variational and/or likelihood-free techniques for parameter inference, which vastly improve both accuracy and speed of many data analyses tasks. Finally, I present results from ongoing work to apply a mixture of these methods to the analysis of stellar streams, gravitational waves, and strong lensing images.

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Meeting ID: 215 429 094