PHINDER EIC Project
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Max Aehle
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Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
Toward the end-to-end optimization of the SWGO array layout
Hadron Identification Prospects with Granular Calorimeters
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
Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
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