99 citations · 256 across the 9 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
hep-ph2022★ 20 cited
Boosting mono-jet searches with model-agnostic machine learning
Thorben Finke, Michael Krämer, Maximilian Lipp +1
We show how weakly supervised machine learning can improve the sensitivity of LHC mono-jet searches to new physics models with anomalous jet dynamics. The Classification Without La…
hep-ph2022★ 27 cited
What's Anomalous in LHC Jets?
Thorsten Buss, Barry M. Dillon, Thorben Finke +5
Searches for anomalies are a significant motivation for the LHC and help define key analysis steps, including triggers. We discuss specific examples how LHC anomalies can be define…