Oct 2019 - Sept 2020

"A Positive Resampler for Monte Carlo Events with Negative Weights" by Jeppe R. Andersen

We propose the Positive Resampler to solve the problem associated with event samples from state-of-the-art predictions for scattering processes at hadron colliders typically involving a sizeable number of events contributing with negative weight. The proposed method guarantees positive weights for all physical distributions, and a correct description of all observables. A desirable side product of the method is the possibility to reduce the size of event samples produced by General Purpose Event Generators, thus lowering the resource demands for subsequent computing-intensive event processing steps. We demonstrate the viability and efficiency of our approach by considering its application to a next-to-leading order + parton shower merged prediction for the production of a W boson in association with multiple jets.

Zoom link: https://zoom.us/j/401212804?pwd=dkp4bzYxaEIyNmdqRWdBV2hHaEJLUT09