76 citations · 77 across the 2 of their papers we have counts for
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hep-ph2021★ 1 cited
Reducing negative weights in Monte Carlo event generation with Sherpa
Katharina Danziger, Stefan Höche, Frank Siegert
An increase in theoretical precision of Monte Carlo event generators is typically accompanied by an increased need for computational resources. One major obstacle are negative weig…
hep-ph2021★ 76 cited
Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates
Katharina Danziger, Timo Janßen, Steffen Schumann +1
The generation of unit-weight events for complex scattering processes presents a severe challenge to modern Monte Carlo event generators. Even when using sophisticated phase-space…