TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography

Publication
Machine Learning: Science and Technology

Relevance to PHINDER

Task and cost constraints guide differentiable detector optimisation in muon tomography, illustrating application-aware instrument co-design.

This publication is background research for the project.

Tommaso Dorigo
Tommaso Dorigo
Principal Investigator

Particle physics, statistical inference and machine-learning-driven experiment design.

Pietro Vischia
Pietro Vischia
Principal Investigator

Differentiable optimisation, spiking neural networks and machine learning for particle physics.