Toward Machine Learning Optimization of Experimental Design

The effective design of instruments that rely on the interaction of radiation with matter for their operation is a complex task. A full optimization of the many parameters involved may still be sought by leveraging recent progress in computer science. Key to such a goal is the definition of a utilit...

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Detalles Bibliográficos
Autores principales: Baydin, Atılım Güneş, Cranmer, Kyle, De Castro Manzano, Pablo, Delaere, Christophe, Derkach, Denis, Donini, Julien, Dorigo, Tommaso, Giammanco, Andrea, Kieseler, Jan, Layer, Lukas, Louppe, Gilles, Ratnikov, Fedor, Strong, Giles, Tosi, Mia, Ustyuzhanin, Andrey, Vischia, Pietro, Yarar, Hevjin
Lenguaje:eng
Publicado: 2021
Materias:
Data Analysis and Statistics
Particle Physics - Experiment
Nuclear Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1080/10619127.2021.1881364
http://cds.cern.ch/record/2777356

Internet

https://dx.doi.org/10.1080/10619127.2021.1881364
http://cds.cern.ch/record/2777356

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