16–17 mars 2021
Remote only
Fuseau horaire Europe/Paris

Reconstruction of di-tau mass using deep neural networks

16 mars 2021, 09:45
15m
Remote only

Remote only

Orateur

Lucas TORTEROTOT ({UNIV CLAUDE BERNARD}UMR5822)

Description

Reconstruction of di-$\tau$ mass in a faster and more accurate way than the existing methods is crucial to test any theory involving Higgs boson and Z boson which are decaying to $\tau^+ \tau^-$. However, it is an arduous task due to existence of neutrinos as decay product of each $\tau$ lepton which are invisible to detectors at LHC.

The present ongoing work aims at obtaining a di-$\tau$ mass estimator using ML techniques. Its use in the CMS MSSM $H\to\tau\tau$ analysis on the full Run II will be discussed.

Auteur principal

Lucas TORTEROTOT ({UNIV CLAUDE BERNARD}UMR5822)

Co-auteurs

Ece Asilar (IPNL) Colin Bernet (IPNL/IN2P3)

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