Spin Correlations in Monte Carlo Simulations
Peter Richardson
TL;DR
This work demonstrates that the Collins-Knowles spin-correlation framework can be extended to include production-decay spin correlations for heavy particles in Monte Carlo event generators without sacrificing the step-by-step structure or incurring combinatorial explosion. By employing spin density and decay matrices, the method propagates correlations through decay chains and, when necessary, accounts for color-flow factors to maintain linear complexity. The approach is validated against full matrix-element calculations across SM and MSSM processes, including top quark and SUSY cascades, and shows good agreement for key observables and distributions. Implemented in HERWIG, the algorithm preserves modularity and is poised for integration with parton-shower dynamics in future C++ generators, enabling more accurate simulations of heavy-particle production and decay at current and future colliders.
Abstract
We show that the algorithm originally proposed by Collins and Knowles for spin correlations in the QCD parton shower can be used in order to include spin correlations between the production and decay of heavy particles in Monte Carlo event generators. This allows correlations to be included while maintaining the step-by-step approach of the Monte Carlo event generation process. We present examples of this approach for both the Standard and Minimal Supersymmetric Standard Models. A merger of this algorithm and that used in the parton shower is discussed in order to include all correlations in the perturbative phase of event generation. Finally we present all the results needed to implement this algorithm for the Standard and Minimal Supersymmetric Standard Models.
