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METNet: A combined missing transverse momentum working point using a neural network with the ATLAS detector
In order to suppress pile-up effects and improve resolution, the ATLAS experiment at the LHC 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 net...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | https://dx.doi.org/10.22323/1.398.0625 http://cds.cern.ch/record/2781381 |