Toward the end-to-end optimization of particle physics instruments with differentiable programming

Publication
Reviews in Physics

Relevance to PHINDER

Differentiable programming connects detector hardware, reconstruction and scientific objectives in a single optimisation problem.

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.

Mia Tosi
Mia Tosi
Affiliated Researcher

Particle detectors, tracking, trigger systems and machine learning.