Exploiting Differentiable Programming for the End-to-end Optimization of Detectors

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...

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Detalles Bibliográficos
Autores principales: Aehle, Max, Bawaj, Mateusz, Belias, Anastasios, Boldyrev, Alexey, de Castro Manzano, Pablo, Delaere, Christophe, Derkach, Denis, Donini, Julien, Dorigo, Tommaso, Edelen, Auralee, Elmer, Peter, Fanzago, Federica, Gauger, Nicolas R, Giammanco, Andrea, Glaser, Christian, Baydin, Atılım G, Heinrich, Lukas, Keidel, Ralf, Kieseler, Jan, Krause, Claudius, Lagrange, Maxime, Lamparth, Max, Layer, Lukas, Maier, Gernot, Nardi, Federico, Pettersen, Helge E S, Ramos, Alberto, Ratnikov, Fedor, Rohrich, Dieter, de Austri, Roberto Ruiz, del Arbol, Pablo Martınez Ruiz, Savchenko, Oleg, Simpson, Nathan, Strong, Giles C, Taliercio, Angela, Tosi, Mia, Ustyuzhanin, Andrey, Vischia, Pietro, Watts, Gordon, Zaraket, Haitham
Lenguaje:eng
Publicado: 2022
Materias:
Particle Physics - Experiment
Detectors and Experimental Techniques
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2877010

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