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Author(s)

NameInstitutionMail AddressSocial Contacts
Tommaso BoccaliINFN Sezione di Pisatommaso.boccali@pi.infn.itSkype: tomboc73; Hangouts: tommaso.boccali@gmail.com
Author2INFN Sezione di Livornonome.a.caso@li.infn.itN/A

General Information

ML/DL TechnologiesLSTM
Science FieldsHigh Energy Physics
DifficultyLow


Software and Tools

Programming LanguagePython
ML ToolsetKeras + Tensorflow
Additional librariesuproot
Suggested EnvironmentsINFN-Cloud VM, bare Linux Node, Google CoLab

Needed datasets

Data CreatorCMS Experiment
Data TypeSimulation
Data Size1 GB
Data SourceINFN Pandora
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