3 papers
hep-ph2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
Johannes Erdmann, Florian Mausolf, Jan Lukas Späh
Recently, Kolmogorov-Arnold Networks (KANs) have been proposed as an alternative to multilayer perceptrons, suggesting advantages in performance and interpretability. We study a ty…
hep-ph2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
Caio Cesar Daumann, Mauro Donega, Johannes Erdmann +3
Simulated events are key ingredients in almost all high-energy physics analyses. However, imperfections in the simulation can lead to sizeable differences between the observed data…
hep-ph2023
Leveraging on-shell interference to search for FCNCs of the top quark and the Z boson
Lucas Cremer, Johannes Erdmann, Roni Harnik +2
Flavour-changing-neutral currents (FCNCs) involving the top quark are highly suppressed within the Standard Model (SM). Hence, any signal in current or planned future collider expe…