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20182026
most citedMachine Learning in High Energy Physics Community White Paper

30 citations · 87 across the 12 of their papers we have counts for

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7 papers · 1 filter

physics.ins-det2026★ 1 cited

On the Codesign of Scientific Experiments and Industrial Systems

Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84

The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…

physics.ins-det2025★ 4 cited

Optimization of a cosmic muon tomography scanner for cargo border control inspection

Z. Zaher, H. Lay, T. Dorigo +9

The past several decades have seen significant advancement in applications using cosmic-ray muons for tomography scanning of unknown objects. One of the most promising developments…

physics.ins-det2023★ 4 cited

Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming

Max Aehle, Lorenzo Arsini, R. Belén Barreiro +27

In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models…

physics.ins-det2023★ 15 cited

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

Giles C. Strong, Maxime Lagrange, Aitor Orio +11

We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The…

physics.ins-det2022★ 8 cited

Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper

Tommaso Dorigo, Andrea Giammanco, Pietro Vischia +33

The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, given the large dimensi…

physics.ins-det2021★ 10 cited

Calorimetric Measurement of Multi-TeV Muons via Deep Regression

Jan Kieseler, Giles C. Strong, Filippo Chiandotto +2

The performance demands of future particle-physics experiments investigating the high-energy frontier pose a number of new challenges, forcing us to find improved solutions for the…

physics.ins-det2020

Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector

Tommaso Dorigo, Jan Kieseler, Lukas Layer +1

The performance demands of future particle-physics experiments investigating the high-energy frontier pose a number of new challenges, forcing us to find new solutions for the dete…