Speaker
Oleksandr Zenaiev
Description
Negative weights are a common challenge in higher-order perturbative calculations, impacting the statistical power of Monte Carlo samples and increasing computational costs. In this talk, we discuss our experience with the MATRIX framework, a state-of-the-art tool for next-to-next-to-leading order (NNLO) quantum chromodynamics (QCD) predictions widely used in LHC
precision physics. Due to its subtraction scheme, MATRIX inherently generates events with negative weights, which, while crucial for theoretical accuracy, pose significant challenges for event generation efficiency. We explore the effect of negative weights in MATRIX on statistical uncertainties and computational cost of NNLO QCD predictions across various processes.