标题： 弧光重新加权：一种用于解决碰撞器事件生成中负权重问题的蒙特卡洛技术 显示英文标题

标题： ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation

摘要： 负权重事件在粒子碰撞的蒙特卡罗（MC）模拟中出现，显著增加了当前和未来对撞机实验的计算资源需求。 本文介绍并理论讨论了一种称为ARCANE重加权的MC技术，用于减少或消除负权重事件。 该技术通过重新分配（通过加法重加权）导致相同最终事件的不同路径在事件生成器中的贡献来工作。 该技术是精确的，并且不会在物理可观测量的分布中引入任何偏差。 一篇配套论文展示了该技术在物理示例中的应用。 显示英文摘要

摘要： Negatively weighted events, which appear in the Monte Carlo (MC) simulation of particle collisions, significantly increases the computational resource requirements of current and future collider experiments. This paper introduces and theoretically discusses an MC technique called ARCANE reweighting for reducing or eliminating negatively weighted events. The technique works by redistributing (via an additive reweighting) the contributions of different pathways within an event generator that lead to the same final event. The technique is exact and does not introduce any biases in the distributions of physical observables. A companion paper demonstrates the technique for a physics example.