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Toward the end-to-e...
Toward the end-to-end optimization of particle physics instruments with differentiable programming
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- Dorigo, Tommaso (author)
- INFN Section of Padova
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- Giammanco, Andrea (author)
- Catholic University of Louvain
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- Vischia, Pietro (author)
- Catholic University of Louvain
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- Aehle, Max (author)
- Technical University Of Kaiserslautern
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- Bawaj, Mateusz (author)
- University of Perugia
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- Boldyrev, Alexey (author)
- National Research University Higher School of Economics, Moscow,MODE Collaboration
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- de Castro Manzano, Pablo (author)
- INFN Section of Padova
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- Derkach, Denis (author)
- National Research University Higher School of Economics, Moscow
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- Donini, Julien (author)
- Université Clermont Auvergne
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- Edelen, Auralee (author)
- Stanford Linear Accelerator Center (SLAC)
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- Fanzago, Federica (author)
- INFN Section of Padova
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- Gauger, Nicolas R. (author)
- Technical University Of Kaiserslautern
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- Glaser, Christian (author)
- Uppsala University
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- Baydin, Atılım G. (author)
- University of Oxford
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- Heinrich, Lukas (author)
- Technical University of Munich
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- Keidel, Ralf (author)
- Worms University of Applied Sciences
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- Kieseler, Jan (author)
- CERN
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Krause, Claudius (author)
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- Lagrange, Maxime (author)
- Catholic University of Louvain
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- Lamparth, Max (author)
- Technical University of Munich
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- Layer, Lukas (author)
- INFN Section of Padova,University of Naples Federico II
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- Maier, Gernot (author)
- German Electron Synchrotron (DESY)
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- Nardi, Federico (author)
- University of Padova,INFN Section of Padova,Université Clermont Auvergne
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- Pettersen, Helge E.S. (author)
- Haukeland University Hospital
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- Ramos, Alberto (author)
- CSIC-UV - Instituto de Física Corpuscular (IFIC)
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- Ratnikov, Fedor (author)
- National Research University Higher School of Economics, Moscow
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- Röhrich, Dieter (author)
- University of Bergen
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- de Austri, Roberto Ruiz (author)
- CSIC-UV - Instituto de Física Corpuscular (IFIC)
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- del Árbol, Pablo Martínez Ruiz (author)
- Institute of Physics of Cantabria
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- Savchenko, Oleg (author)
- Catholic University of Louvain,INFN Section of Padova
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- Simpson, Nathan (author)
- Lund University,Lunds universitet,Partikel- och kärnfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Particle and nuclear physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH
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- Strong, Giles C. (author)
- INFN Section of Padova
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- Taliercio, Angela (author)
- Catholic University of Louvain
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- Tosi, Mia (author)
- University of Padova,INFN Section of Padova
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- Ustyuzhanin, Andrey (author)
- Jacobs University
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- Zaraket, Haitham (author)
- Lebanese University
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: Reviews in Physics. - 2405-4283. ; 10
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Subject headings
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- The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection technology, materials, data-acquisition, and information-extraction techniques, and the interdependence of the related parameters. On the other hand, massive potential gains in performance over standard, “experience-driven” layouts are in principle within our reach if an objective function fully aligned with the final goals of the instrument is maximized through a systematic search of the configuration space. The stochastic nature of the involved quantum processes make the modeling of these systems an intractable problem from a classical statistics point of view, yet the construction of a fully differentiable pipeline and the use of deep learning techniques may allow the simultaneous optimization of all design parameters. In this white paper, we lay down our plans for the design of a modular and versatile modeling tool for the end-to-end optimization of complex instruments for particle physics experiments as well as industrial and medical applications that share the detection of radiation as their basic ingredient. We consider a selected set of use cases to highlight the specific needs of different applications.
Subject headings
- NATURVETENSKAP -- Fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences (hsv//eng)
Keyword
- Astrophysics
- Differentiable programming
- Machine learning
- Nuclear physics
- Optimization
- Particle detectors
- Particle physics
Publication and Content Type
- for (subject category)
- ref (subject category)
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To the university's database
- By the author/editor
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Dorigo, Tommaso
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Giammanco, Andre ...
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Vischia, Pietro
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Aehle, Max
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Bawaj, Mateusz
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Boldyrev, Alexey
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show more...
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de Castro Manzan ...
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Derkach, Denis
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Donini, Julien
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Edelen, Auralee
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Fanzago, Federic ...
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Gauger, Nicolas ...
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Glaser, Christia ...
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Baydin, Atılım G ...
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Heinrich, Lukas
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Keidel, Ralf
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Kieseler, Jan
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Krause, Claudius
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Lagrange, Maxime
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Lamparth, Max
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Layer, Lukas
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Maier, Gernot
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Nardi, Federico
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Pettersen, Helge ...
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Ramos, Alberto
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Ratnikov, Fedor
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Röhrich, Dieter
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de Austri, Rober ...
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del Árbol, Pablo ...
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Savchenko, Oleg
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Simpson, Nathan
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Strong, Giles C.
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Taliercio, Angel ...
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Tosi, Mia
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Ustyuzhanin, And ...
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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 Physical Science ...
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Reviews in Physi ...
- By the university
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Lund University