Max Aehle , Lorenzo Arsini , R. Belén Barreiro , Anastasios Belias , Alexey Boldyrev , 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 , Pietro Vischia
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引用次数: 0
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 inference on the parameters of interest — 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.
This report illustrates the most recent advancements in the area, and outlines, for each of the discussed applications as well as for automatic differentiation itself, ongoing and future work.
期刊介绍:
Reviews in Physics is a gold open access Journal, publishing review papers on topics in all areas of (applied) physics. The journal provides a platform for researchers who wish to summarize a field of physics research and share this work as widely as possible. The published papers provide an overview of the main developments on a particular topic, with an emphasis on recent developments, and sketch an outlook on future developments. The journal focuses on short review papers (max 15 pages) and these are freely available after publication. All submitted manuscripts are fully peer-reviewed and after acceptance a publication fee is charged to cover all editorial, production, and archiving costs.