On the Codesign of Scientific Experiments and Industrial Systems
Abstract
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 industrial or societal applications the common issue of addressing the inter-relation between parameters describing the hardware used in data production and parameters used to analyse those data. While in many cases this coupling can be ignored -- when the problem can be successfully factored into simpler sub-tasks and the latter addressed serially -- there are situations in which that approach fails to converge to the absolute maximum of expected performance, as it results in a mis-alignment of the optimized hardware and software solutions. In this work we consider a few use cases of interest in fundamental science collected primarily from particle physics and related areas, and a pot-pourri of industrial and societal applications where the matter is similarly of relevance. We discuss the emergence of strong hardware-software coupling in some of those systems, as well as co-design procedures that may be deployed to identify the global maximum of their relevant utility functions. We observe how numerous opportunities exist to advance methods and tools for hardware-software co-design optimization, bridging fundamental science and industry through application- and challenge-driven projects, and shaping the future of scientific experiments and industrial systems.
Keywords
Cite
@article{arxiv.2603.26613,
title = {On the Codesign of Scientific Experiments and Industrial Systems},
author = {Tommaso Dorigo and Pietro Vischia and Shahzaib Abbas and Tosin Adewumi and Lama Alkhaled and Lorenzo Arsini and Muhammad Awais and Maxim Borisyak and András Bóta and Florian Bury and Sascha Caron and James Carzon and Long Chen and Prakash C. Chhipa and Paul Christakopoulos and Jacopo De Piccoli and Andrea De Vita and Zlatan Dimitrov and Michele Doro and Luigi Favaro and Francesco Ferranti and Santiago Folgueras and Rihab Gargouri and Nicolas R. Gauger and Andrea Giammanco and Christian Glaser and Tobias Golling and João A. Gonçalves and Hui Han and Hamza Hanif and Lukas Heinrich and Yan Chai Hum and Florent Imbert and Andreas Ipp and Michael Kagan and Noor Kainat Syeda and Rukshak Kapoor and Aparup Khatua and Eduard J. Kerkhoven and Jan Kieseler and Tobias Kortus and Ashish Kumar Singh and Marius S. Köppel and Daniel Lanchares and Ann Lee and Pelayo Leguina and Christos Leonidopoulos and Giuseppe Levi and Boying Li and Chang Liu and Marcus Liwicki and Karl Lowenmark and Enrico Lupi and Carlo Mancini-Terracciano and Dominik Maršík and Leonidas Matsakas and Hamam Mokayed and Federico Nardi and Amirhossein Nayebiastaneh and Xuan T. Nguyen and Aitor Orio and Jingjing Pan and Jigar Patel and Carmelo Pellegrino and María Pereira Martínez and Karolos Potamianos and Shah Rukh Qasim and Martin Ravn and Luis Recabarren Vergara and Humberto Reyes-González and Hipolito A. Riveros Guevara and Ippocratis D. Saltas and Rajkumar Saini and Fredrik Sandin and Alexander Schilling and Kylian Schmidt and Nicola Serra and Saqib Shahzad and Foteini Simistira Liwicki and Giles C. Strong and Kristian Tchiorniy and Mia Tosi and Andrey Ustyuzhanin and Xabier Cid Vidal and Kinga A. Wozniak and Mengqing Wu and Zahraa Zaher},
journal= {arXiv preprint arXiv:2603.26613},
year = {2026}
}
Comments
91 pages, 58 figures