Speakers
Andreas Maier
(DESY)Dr
Andreas Martin Maier
(DESY)
Description
Negative Monte Carlo event weights greatly hamper the statistical convergence, leading to large samples and incurring a huge increase in computational cost for subsequent steps in the simulation chain. I discuss the cell resampling method for cancelling negative weights inside small phase space regions and present recent improvements that render the application to large high-multiplicity samples feasible
