AI & ML interests
Fast simulation of calorimeter showers with generative models
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Papers
CaloClouds3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Cross-Geometry Transfer Learning in Fast Electromagnetic Shower Simulation
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FLC-QU-hep
Machine learning for particle physics at Universität Hamburg and DESY. We develop generative models for fast simulation of calorimeter showers.
This organization hosts our model weights accompanying our publications. Code lives in our GitHub organization: https://github.com/FLC-QU-hep
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