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hep-ph2026
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
Davide Valsecchi, Mauro DonegÃ, Rainer Wallny
Unbinned likelihood fits maximize the information extracted from experimental data, yet their application in realistic high-dimensional analyses has been fundamentally bottlenecked…
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…