Cargando…
A new algorithm for $H\rightarrow\tau\bar{\tau}$ invariant mass reconstruction using Deep Neural Networks
Reconstructing the invariant mass in a Higgs boson decay event containing tau leptons turns out to be a challenging endeavour. The aim of this summer student project is to implement a new algorithm for this task, using deep neural networks and machine learning. The results are compared to SVFit, an...
Autor principal: | Dietrich, Felix |
---|---|
Lenguaje: | eng |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2285441 |
Ejemplares similares
-
Higgs Pair Production in the $H(\rightarrow \tau\tau)H(\rightarrow b\bar{b})$ channel at the High-Luminosity LHC
por: The ATLAS collaboration
Publicado: (2015) -
Study of gg rightarrow b bar{b}H_{SUSY},H_{SUSY} ightarrow tau tau rightarrow ll+X
por: Lehti, Sami
Publicado: (2002) -
SM and MSSM $H\rightarrow\tau\tau$
por: Schwindt, Thomas
Publicado: (2014) -
Reconstruction of $\tau$ lepton pair invariant mass using an artificial neural network
por: Bärtschi, P., et al.
Publicado: (2019) -
Test of CP-invariance in $e{+}e^{-} \rightarrow Z^{0} \rightarrow \tau^{+}\tau^{-}$ and a limit on the weak dipole moment of the $\tau$ lepton
por: Acton, P D, et al.
Publicado: (1992)