Implementation of Variational Autoencoder on the simulated particle collider data
We study the possibility of applying deep learning algorithms, suchas Variational Autoencoders, on simulated particle collider data to detectBeyond the Standard Model events. In this report, we apply three dif-ferent processes of training the data for better eciency and the resultsof said training o...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Högenergifysik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435325 |