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TomOpt: differentia...
TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
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- Strong, Giles C (author)
- MODE Collaboration; Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Italy
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- Lagrange, Maxime (author)
- MODE Collaboration; Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain la Neuve, Belgium
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- Orio, Aitor (author)
- Muon Tomography Systems S.L., Bilbao, Spain; Universidad de Cantabria (UC), Santander, Spain
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- Bordignon, Anna (author)
- Department of Statistical Sciences, University of Padova, Padova, Italy
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- Bury, Florian (author)
- University of Bristol, Bristol, United Kingdom
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- Dorigo, Tommaso (author)
- Luleå tekniska universitet,EISLAB,MODE Collaboration; Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Italy
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- Giammanco, Andrea (author)
- MODE Collaboration; Centre for Cosmology, Particle Physics and Phenomenology (CP3), Université catholique de Louvain, Louvain la Neuve, Belgium
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- Heikal, Mariam (author)
- American University of Beirut, Beirut, Lebanon
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- Kieseler, Jan (author)
- MODE Collaboration; Karlsruhe Institute of Technology, Karlsruhe, Germany
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- Lamparth, Max (author)
- MODE Collaboration; Physik-Department, Technische Universität München, Munich, Germany
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- Martínez Ruíz del Árbol, Pablo (author)
- MODE Collaboration; Instituto de Física de Cantabria, Santander, Spain
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- Nardi, Federico (author)
- MODE Collaboration; Dipartimento di Fisica ed Astronomia, University of Padova, Padova, Italy; Université Clermont-Auvergne, Clermont-Ferrand, France
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- Vischia, Pietro (author)
- MODE Collaboration; Universidad de Oviedo and ICTEA, Oviedo, Spain
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- Zaraket, Haitham (author)
- MODE Collaboration; Multi-Disciplinary Physics Laboratory, Optics and Fiber Optics Group, Faculty of Science, Lebanese University, Beirut, Lebanon; Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, Grenoble France
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(creator_code:org_t)
- Institute of Physics (IOP), 2024
- 2024
- English.
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In: Machine Learning. - : Institute of Physics (IOP). - 2632-2153. ; 5:3
- Related links:
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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Abstract
Subject headings
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- 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 software exploits differentiable programming for the modeling of muon interactions with detectors and scanned volumes, the inference of volume properties, and the optimisation cycle performing the loss minimisation. In doing so, we provide the first demonstration of end-to-end-differentiable and inference-aware optimisation of particle physics instruments. We study the performance of the software on a relevant benchmark scenario and discuss its potential applications. Our code is available on Github (Strong et al 2024 available at: https://github.com/GilesStrong/tomopt).
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- detector design
- differentiable programming
- differentiable optimisation
- end-to-end optimisation
- muon tomography
- inference aware learning
- automatic differentiation
- Maskininlärning
- Machine Learning
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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Strong, Giles C
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Lagrange, Maxime
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Orio, Aitor
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Bordignon, Anna
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Bury, Florian
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Dorigo, Tommaso
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show more...
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Giammanco, Andre ...
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Heikal, Mariam
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Kieseler, Jan
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Lamparth, Max
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Martínez Ruíz de ...
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Nardi, Federico
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Vischia, Pietro
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Zaraket, Haitham
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Software Enginee ...
- Articles in the publication
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Machine Learning
- By the university
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Luleå University of Technology