6 citations · 32 across the 47 of their papers we have counts for
5 papers · 1 filter
First evidence for mixing-induced violation in B J/(1020) decays in pp collisions at 13 TeV
CMS Collaboration
A novel machine-learning-based flavor-tagging algorithm combining same-side and opposite-side tagging is used to obtain the equivalent of 27000 tagged B J/…
Reweighting simulated events using machine-learning techniques in the CMS experiment
CMS Collaboration
Data analyses in particle physics rely on an accurate simulation of particle collisions and a detailed simulation of detector effects to extract physics knowledge from the recorded…
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…
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…
Portable acceleration of CMS computing workflows with coprocessors as a service
CMS Collaboration
Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance…