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

Max Aehle; Lorenzo Arsini; R. Belén Barreiro; Anastasios Belias; Florian Bury; Susana Cebrian; Alexander Demin; Jennet Dickinson; Julien Donini; Tommaso Dorigo; Michele Doro; Nicolas R. Gauger; Andrea Giammanco; Lindsey Gray; Borja S. González; Verena Kain; Jan Kieseler; Lisa Kusch; Marcus Liwicki; Gernot Maier; Federico Nardi; Fedor Ratnikov; Ryan Roussel; Roberto Ruiz de Austri; Fredrik Sandin; Michael Schenk; Bruno Scarpa; Pedro Silva; Giles C. Strong; Pietro Vischia

doi:10.1016/j.revip.2025.100120

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arXiv · 2310.05673

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

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Abstract

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 we consider rely on differentiable programming methods and on the specification of a software pipeline including all factors impacting performance -- from the data-generating processes to their reconstruction and the extraction of inference on the parameters of interest of a measuring instrument -- along with the careful specification of a utility function well aligned with the end goals of the experiment. Building on previous studies originated within the MODE Collaboration, we focus specifically on applications involving instruments for particle physics experimentation, as well as industrial and medical applications that share the detection of radiation as their data-generating mechanism.

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Max Aehle, Lorenzo Arsini, R. Belén Barreiro, Anastasios Belias, Florian Bury, Susana Cebrian, Alexander Demin, Jennet Dickinson, Julien Donini, Tommaso Dorigo, Michele Doro, Nicolas R. Gauger, Andrea Giammanco, Lindsey Gray, Borja S. González, Verena Kain, Jan Kieseler, Lisa Kusch, Marcus Liwicki, Gernot Maier, Federico Nardi, Fedor Ratnikov, Ryan Roussel, Roberto Ruiz de Austri, Fredrik Sandin, Michael Schenk, Bruno Scarpa, Pedro Silva, Giles C. Strong, Pietro Vischia. 2023-09-30. Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming. https://doi.org/10.1016/j.revip.2025.100120

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