Phase space sampling and inference from weighted events with autoregressive flows
We explore the use of autoregressive flows, a type of generative model with tractable likelihood, as a means of efficient generation of physical particle collider events. The usual maximum likelihood loss function is supplemented by an event weight, allowing for inference from event samples with...
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| Format: | Article |
| Language: | English |
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SciPost
2021-02-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.10.2.038 |