activity
20192025
most citedA tagger for strange jets based on tracking information using long short-term memory

11 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ex2025★ 1 cited

Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector

Andrew Brinkerhoff, Chosila Sutantawibul, Robert White +23

Successful operation of large particle detectors like the Compact Muon Solenoid (CMS) at the CERN Large Hadron Collider requires rapid, in-depth assessment of data quality. We intr…

physics.comp-ph2023★ 5 cited

Resource-aware Research on Universe and Matter: Call-to-Action in Digital Transformation

Ben Bruers, Marilyn Cruces, Markus Demleitner +34

Given the urgency to reduce fossil fuel energy production to make climate tipping points less likely, we call for resource-aware knowledge gain in the research areas on Universe an…

hep-ex2023★ 4 cited

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…

hep-ex2020★ 11 cited

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…

physics.ins-det2019★ 11 cited

A tagger for strange jets based on tracking information using long short-term memory

Johannes Erdmann

An algorithm for the identification of jets that originate from the hadronisation of strange quarks is presented, which complements existing algorithms for the identification of je…