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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing,
2019-03-01T16:40:11Z.
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| Subjects: | |
| Online Access: | Get fulltext |