PHINDER EIC Project
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Andrea Giammanco
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On the Codesign of Scientific Experiments and Industrial Systems
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
Bias Reduction Using Expectation Maximization in the Optimization of an AI-Assisted Muon Tomography System
Optimisation of Muon Tomography Scanners for Border Control Using TomOpt
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
Toward Machine Learning Optimization of Experimental Design
A portable muon telescope based on small and gas-tight resistive plate chambers
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