109 citations · 186 across the 8 of their papers we have counts for
4 papers · 1 filter
SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments
Johannes Erdmann, Aaron van der Graaf, Florian Mausolf +1
We study single-image super-resolution algorithms for photons at collider experiments based on generative adversarial networks. We treat the energy depositions of simulated electro…
Maximum performance of strange-jet tagging at hadron colliders
Johannes Erdmann, Olaf Nackenhorst, Sonja Verena Zeißner
The maximum achievable performance of strange-jet tagging at hadron colliders and the loss in performance in different detector designs is estimated based on simulated truth jets f…
From the Bottom to the Top -- Reconstruction of Events with Deep Learning
Johannes Erdmann, Tim Kallage, Kevin Kröninger +1
The reconstruction of top-quark pair-production () events is a prerequisite for many top-quark measurements. We use a deep neural network, trained with Monte-Carlo simula…
A likelihood-based reconstruction algorithm for top-quark pairs and the KLFitter framework
Johannes Erdmann, Stefan Guindon, Kevin Kroeninger +4
A likelihood-based reconstruction algorithm for arbitrary event topologies is introduced and, as an example, applied to the single-lepton decay mode of top-quark pair production. T…