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Exploring Deep Computing in CMS for Automated Data Validation in DQM
This project has explored the possibility of inclusion of a variational autoencoder in Automated Data Validation in DQM. The analysis has been carried out only with muon features. The main goal is to reconstruct the given lumisections and check if they can be separated between good and bad lumisecti...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | http://cds.cern.ch/record/2282937 |