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Max Aehle
Affiliated Researcher
University of Kaiserslautern-Landau
Education
Latest
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
Hadron Identification Prospects with Granular Calorimeters
On the utility function of experiments in fundamental science
End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters
End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters
Hadron Identification Prospects with Granular Calorimeters
Neuromorphic Readout for Hadron Calorimeters
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
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