Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
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 fac...
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| creator | Aehle, Max Arsini, Lorenzo Barreiro, R. Belén Belias, Anastasios Bury, Florian Cebrian, Susana Demin, Alexander Dickinson, Jennet Donini, Julien Dorigo, Tommaso Doro, Michele Gauger, Nicolas R Giammanco, Andrea Gray, Lindsey González, Borja S Kain, Verena Kieseler, Jan Kusch, Lisa Liwicki, Marcus Maier, Gernot Nardi, Federico Ratnikov, Fedor Roussel, Ryan de Austri, Roberto Ruiz Sandin, Fredrik Schenk, Michael Scarpa, Bruno Silva, Pedro Strong, Giles C Vischia, Pietro |
| description | 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 extraction of inference on the parameters of
interest of a measuring instrument -- 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. |
| doi_str_mv | 10.48550/arxiv.2310.05673 |
| format | Article |
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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 extraction of inference on the parameters of
interest of a measuring instrument -- 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
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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 extraction of inference on the parameters of
interest of a measuring instrument -- 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.</description><subject>Physics - Instrumentation and Detectors</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tOwzAURL1hgQofwAr_QIobx3a7RH0AUqVWgn10E183V0rsyjaP8vWEwGqkGeloDmN3CzGvlkqJB4hf9DEv5VgIpY28Zt0xhlPElDh5vvW2yKEYgx_OmQb6hkzB8-D4BjO2OcTEXYh89-4tDOgz9PzYXRK1iX9S7viGnMM4DgRNj3yCwzCQP92wKwd9wtv_nLHX3fZt_VzsD08v68d9AeOfYiHVwiqNQuvSClGulDQrRCFlK7QtEU0FSwdWNlVjnBNV1ejWtA6MawQ4OWP3f9TJtD5HGiBe6l_jejKWP6zPUvA</recordid><startdate>20230930</startdate><enddate>20230930</enddate><creator>Aehle, Max</creator><creator>Arsini, Lorenzo</creator><creator>Barreiro, R. 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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 extraction of inference on the parameters of
interest of a measuring instrument -- 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.</abstract><doi>10.48550/arxiv.2310.05673</doi><oa>free_for_read</oa></addata></record> |
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| title | Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming |
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