Cargando…
METNet: A combined $p^{\text{miss}}_{\text{T}}$ working point using a neural network with the ATLAS detector
In order to suppress pile-up effects and improve the resolution, ATLAS employs a suite of working points for missing transverse momentum ($p_{\text{T}}^{\text{miss}}$) reconstruction, and each is optimal for different event topologies and different beam conditions. A neural network (NN) can exploit...
Autor principal: | The ATLAS collaboration |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2776653 |
Ejemplares similares
-
METNet: A combined missing transverse momentum working point using a neural network with the ATLAS detector
por: Hodkinson, Benjamin Haslum
Publicado: (2021) -
METNet: A combined missing transverse momentum working point using a neural network with the ATLAS detector
por: Hodkinson, Benjamin Haslum
Publicado: (2021) -
$E_{\text{T}}^{\text{miss}}$ performance in the ATLAS detector using 2015-2016 LHC p-p collisions
por: The ATLAS collaboration
Publicado: (2018) -
Expected performance of missing transverse momentum reconstruction for the ATLAS detector at $\sqrt{s}= 13~\text{TeV}$
por: The ATLAS collaboration
Publicado: (2015) -
Search for scalar dark energy in $t\bar{t}+E_{T}^{\text{miss}}$ and mono-jet final states with the ATLAS detector
por: The ATLAS collaboration
Publicado: (2018)