Special Article – Tools for Experiment and Theory
Resampling algorithms for high energy physics simulations
Department of Mathematics, KTH Royal Institute of Technology, Lindstedtsvägen 25, 100 44, Stockholm, Sweden
2 Particle Physics, Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090, Vienna, Austria
3 Department of Astronomy and Theoretical Physics, Lund University, Sölvegatan 14A, 223 62, Lund, Sweden
Accepted: 26 September 2020
Published online: 10 October 2020
We demonstrate that the method of interleaved resampling in the context of parton showers can tremendously improve the statistical convergence of weighted parton shower evolution algorithms. We illustrate this by several examples showing significant statistical improvement.
© The Author(s) 2020
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