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Exploiting Differentiable Programming for the End-to-end Optimization of Detectors / MODE Collaboration
The coming of age of differentiable programming makes possible today to create complete computer models of experimental apparatus that include the stochastic data-generation processes, the full modeling of the reconstruction and inference procedures, and a suitably defined objective function, along with the cost of any given detector configuration, geometry and materials. [...]
2022. - 8 p.
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Toward the end-to-end optimization of particle physics instruments with differentiable programming / MODE Collaboration
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, given 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 by means of a systematic search of the configuration space. [...]
arXiv:2203.13818.- 2023-05-25 - 56 p. - Published in : Rev. Phys. 10 (2023) 100085 Fulltext: 2203.13818 - PDF; Publication - PDF;

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