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On the Codesign of Scientific Experiments and Industrial Systems

Fuente: arXiv

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Bibliographic Details
Main Authors:	Dorigo, Tommaso, Vischia, Pietro, Abbas, Shahzaib, Adewumi, Tosin, Alkhaled, Lama, Arsini, Lorenzo, Awais, Muhammad, Borisyak, Maxim, Bóta, András, Bury, Florian, Caron, Sascha, Carzon, James, Chen, Long, Chhipa, Prakash C., Christakopoulos, Paul, De Piccoli, Jacopo, De Vita, Andrea, Dimitrov, Zlatan, Doro, Michele, Favaro, Luigi, Ferranti, Francesco, Folgueras, Santiago, Gargouri, Rihab, Gauger, Nicolas R., Giammanco, Andrea, Glaser, Christian, Golling, Tobias, Gonçalves, João A., Han, Hui, Hanif, Hamza, Heinrich, Lukas, Hum, Yan Chai, Imbert, Florent, Ipp, Andreas, Kagan, Michael, Syeda, Noor Kainat, Kapoor, Rukshak, Khatua, Aparup, Kerkhoven, Eduard J., Kieseler, Jan, Kortus, Tobias, Singh, Ashish Kumar, Köppel, Marius S., Lanchares, Daniel, Lee, Ann, Leguina, Pelayo, Leonidopoulos, Christos, Levi, Giuseppe, Li, Boying, Liu, Chang, Liwicki, Marcus, Lowenmark, Karl, Lupi, Enrico, Mancini-Terracciano, Carlo, Maršík, Dominik, Matsakas, Leonidas, Mokayed, Hamam, Nardi, Federico, Nayebiastaneh, Amirhossein, Nguyen, Xuan T., Orio, Aitor, Pan, Jingjing, Patel, Jigar, Pellegrino, Carmelo, Martínez, María Pereira, Potamianos, Karolos, Qasim, Shah Rukh, Ravn, Martin, Vergara, Luis Recabarren, Reyes-González, Humberto, Guevara, Hipolito A. Riveros, Saltas, Ippocratis D., Saini, Rajkumar, Sandin, Fredrik, Schilling, Alexander, Schmidt, Kylian, Serra, Nicola, Shahzad, Saqib, Liwicki, Foteini Simistira, Strong, Giles C., Tchiorniy, Kristian, Tosi, Mia, Ustyuzhanin, Andrey, Vidal, Xabier Cid, Wozniak, Kinga A., Wu, Mengqing, Zaher, Zahraa
Format:	Preprint
Published:	2026
Subjects:	Instrumentation and Detectors Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
Online Access:	Acceder al recurso
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author	Dorigo, Tommaso Vischia, Pietro Abbas, Shahzaib Adewumi, Tosin Alkhaled, Lama Arsini, Lorenzo Awais, Muhammad Borisyak, Maxim Bóta, András Bury, Florian Caron, Sascha Carzon, James Chen, Long Chhipa, Prakash C. Christakopoulos, Paul De Piccoli, Jacopo De Vita, Andrea Dimitrov, Zlatan Doro, Michele Favaro, Luigi Ferranti, Francesco Folgueras, Santiago Gargouri, Rihab Gauger, Nicolas R. Giammanco, Andrea Glaser, Christian Golling, Tobias Gonçalves, João A. Han, Hui Hanif, Hamza Heinrich, Lukas Hum, Yan Chai Imbert, Florent Ipp, Andreas Kagan, Michael Syeda, Noor Kainat Kapoor, Rukshak Khatua, Aparup Kerkhoven, Eduard J. Kieseler, Jan Kortus, Tobias Singh, Ashish Kumar Köppel, Marius S. Lanchares, Daniel Lee, Ann Leguina, Pelayo Leonidopoulos, Christos Levi, Giuseppe Li, Boying Liu, Chang Liwicki, Marcus Lowenmark, Karl Lupi, Enrico Mancini-Terracciano, Carlo Maršík, Dominik Matsakas, Leonidas Mokayed, Hamam Nardi, Federico Nayebiastaneh, Amirhossein Nguyen, Xuan T. Orio, Aitor Pan, Jingjing Patel, Jigar Pellegrino, Carmelo Martínez, María Pereira Potamianos, Karolos Qasim, Shah Rukh Ravn, Martin Vergara, Luis Recabarren Reyes-González, Humberto Guevara, Hipolito A. Riveros Saltas, Ippocratis D. Saini, Rajkumar Sandin, Fredrik Schilling, Alexander Schmidt, Kylian Serra, Nicola Shahzad, Saqib Liwicki, Foteini Simistira Strong, Giles C. Tchiorniy, Kristian Tosi, Mia Ustyuzhanin, Andrey Vidal, Xabier Cid Wozniak, Kinga A. Wu, Mengqing Zaher, Zahraa
author_facet	Dorigo, Tommaso Vischia, Pietro Abbas, Shahzaib Adewumi, Tosin Alkhaled, Lama Arsini, Lorenzo Awais, Muhammad Borisyak, Maxim Bóta, András Bury, Florian Caron, Sascha Carzon, James Chen, Long Chhipa, Prakash C. Christakopoulos, Paul De Piccoli, Jacopo De Vita, Andrea Dimitrov, Zlatan Doro, Michele Favaro, Luigi Ferranti, Francesco Folgueras, Santiago Gargouri, Rihab Gauger, Nicolas R. Giammanco, Andrea Glaser, Christian Golling, Tobias Gonçalves, João A. Han, Hui Hanif, Hamza Heinrich, Lukas Hum, Yan Chai Imbert, Florent Ipp, Andreas Kagan, Michael Syeda, Noor Kainat Kapoor, Rukshak Khatua, Aparup Kerkhoven, Eduard J. Kieseler, Jan Kortus, Tobias Singh, Ashish Kumar Köppel, Marius S. Lanchares, Daniel Lee, Ann Leguina, Pelayo Leonidopoulos, Christos Levi, Giuseppe Li, Boying Liu, Chang Liwicki, Marcus Lowenmark, Karl Lupi, Enrico Mancini-Terracciano, Carlo Maršík, Dominik Matsakas, Leonidas Mokayed, Hamam Nardi, Federico Nayebiastaneh, Amirhossein Nguyen, Xuan T. Orio, Aitor Pan, Jingjing Patel, Jigar Pellegrino, Carmelo Martínez, María Pereira Potamianos, Karolos Qasim, Shah Rukh Ravn, Martin Vergara, Luis Recabarren Reyes-González, Humberto Guevara, Hipolito A. Riveros Saltas, Ippocratis D. Saini, Rajkumar Sandin, Fredrik Schilling, Alexander Schmidt, Kylian Serra, Nicola Shahzad, Saqib Liwicki, Foteini Simistira Strong, Giles C. Tchiorniy, Kristian Tosi, Mia Ustyuzhanin, Andrey Vidal, Xabier Cid Wozniak, Kinga A. Wu, Mengqing Zaher, Zahraa
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2603_26613
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	On the Codesign of Scientific Experiments and Industrial Systems Dorigo, Tommaso Vischia, Pietro Abbas, Shahzaib Adewumi, Tosin Alkhaled, Lama Arsini, Lorenzo Awais, Muhammad Borisyak, Maxim Bóta, András Bury, Florian Caron, Sascha Carzon, James Chen, Long Chhipa, Prakash C. Christakopoulos, Paul De Piccoli, Jacopo De Vita, Andrea Dimitrov, Zlatan Doro, Michele Favaro, Luigi Ferranti, Francesco Folgueras, Santiago Gargouri, Rihab Gauger, Nicolas R. Giammanco, Andrea Glaser, Christian Golling, Tobias Gonçalves, João A. Han, Hui Hanif, Hamza Heinrich, Lukas Hum, Yan Chai Imbert, Florent Ipp, Andreas Kagan, Michael Syeda, Noor Kainat Kapoor, Rukshak Khatua, Aparup Kerkhoven, Eduard J. Kieseler, Jan Kortus, Tobias Singh, Ashish Kumar Köppel, Marius S. Lanchares, Daniel Lee, Ann Leguina, Pelayo Leonidopoulos, Christos Levi, Giuseppe Li, Boying Liu, Chang Liwicki, Marcus Lowenmark, Karl Lupi, Enrico Mancini-Terracciano, Carlo Maršík, Dominik Matsakas, Leonidas Mokayed, Hamam Nardi, Federico Nayebiastaneh, Amirhossein Nguyen, Xuan T. Orio, Aitor Pan, Jingjing Patel, Jigar Pellegrino, Carmelo Martínez, María Pereira Potamianos, Karolos Qasim, Shah Rukh Ravn, Martin Vergara, Luis Recabarren Reyes-González, Humberto Guevara, Hipolito A. Riveros Saltas, Ippocratis D. Saini, Rajkumar Sandin, Fredrik Schilling, Alexander Schmidt, Kylian Serra, Nicola Shahzad, Saqib Liwicki, Foteini Simistira Strong, Giles C. Tchiorniy, Kristian Tosi, Mia Ustyuzhanin, Andrey Vidal, Xabier Cid Wozniak, Kinga A. Wu, Mengqing Zaher, Zahraa Instrumentation and Detectors Instrumentation and Methods for Astrophysics High Energy Physics - Experiment 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.
title	On the Codesign of Scientific Experiments and Industrial Systems
topic	Instrumentation and Detectors Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
url	https://arxiv.org/abs/2603.26613