5 papers · 1 filter
Autoencoders for unsupervised anomaly detection in high energy physics
Thorben Finke, Michael Krämer, Alessandro Morandini +2
Autoencoders are widely used in machine learning applications, in particular for anomaly detection. Hence, they have been introduced in high energy physics as a promising tool for…
PROPHECY4F 3.0: A Monte Carlo program for Higgs-boson decays into four-fermion final states in and beyond the Standard Model
Ansgar Denner, Stefan Dittmaier, Alexander Mück
The Monte Carlo generator PPROPHECY4F provides a PROPer description of the Higgs dECaY into 4 Fermions within the Standard Model, the Standard Model with a fourth fermion generatio…
Probing Higgs-portal dark matter with vector-boson fusion
Jan Heisig, Michael Krämer, Eric Madge +1
We constrain the Higgs-portal model employing the vector-boson fusion channel at the LHC. In particular, we include the phenomenologically interesting parameter region near the Hig…
Interference effects in dilepton resonance searches for Z' bosons and dark matter mediators
Felix Kahlhoefer, Alexander Mück, Stefan Schulte +1
New Z' gauge bosons arise in many extensions of the Standard Model and predict resonances in the dilepton invariant mass spectrum. Searches for such resonances therefore provide im…
Precise predictions for V+jets dark matter backgrounds
J. M. Lindert, S. Pozzorini, R. Boughezal +16
High-energy jets recoiling against missing transverse energy (MET) are powerful probes of dark matter at the LHC. Searches based on large MET signatures require a precise control o…