Event generator tuning using Bayesian optimization

Event generator tuning using Bayesian optimization

Monte Carlo event generators contain a large number of parameters that must be determined by comparing the output of the generator with experimental data. Generating enough events with a fixed set of parameter values to enable making such a comparison is extremely CPU intensive, which prohibits perf...

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Bibliographic Details
Main Authors:	Ilten, P. (Author), Williams, M. (Author), Yang, Y. (Author), Ilten, Philip J (Contributor), Williams, Michael (Contributor), Yang, Yang (Contributor)
Other Authors:	Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor)
Format:	Article
Language:	English
Published:	IOP Publishing, 2019-03-01T16:40:11Z.
Subjects:	Article
Online Access:	Get fulltext

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