论文标题
高阶累积物的堆积校正
Pileup corrections on higher-order cumulants
论文作者
论文摘要
我们提出了一种方法，以从高阶累积物和事件的划分粒子分布中删除堆积事件的贡献。假设堆积事件是通过两个独立的单个事件的叠加给出的，我们表明每个多重性箱中的真实矩可以从较低的多重事件中递归获得。在校正过程中，必要的信息仅是堆积事件的概率。其他术语是从实验数据中提取的。我们证明，在简单模型中，该方法可以成功地重建真正的累积物。讨论了触发效率低下和校正参数的系统学。
We propose a method to remove the contributions of pileup events from higher-order cumulants and moments of event-by-event particle distributions. Assuming that the pileup events are given by the superposition of two independent single-collision events, we show that the true moments in each multiplicity bin can be obtained recursively from lower multiplicity events. In the correction procedure the necessary information are only the probabilities of pileup events. Other terms are extracted from the experimental data. We demonstrate that the true cumulants can be reconstructed successfully by this method in simple models. Systematics on trigger inefficiencies and correction parameters are discussed.
