Federico Nardi
Affiliated Researcher
TU Munich
Education
Latest
- Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
- 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
- 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