Improvement on short-lived particle reconstruction by using the Kalman Filter Particle method
收藏DataCite Commons2025-04-27 更新2025-04-16 收录
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https://www.scidb.cn/detail?dataSetId=d0d91bb08c2b48b59aba29dc85557a45
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The ratios of significance for Λ, Ω and D0 particles using the Kalman Filter Particle method in conjunction with BDT training over those using the helix swimming (HS) method in conjunction with BDT training as a function of the particle's transverse momentum in different centrality classes of relativistic Au+Au collisions.
该数据集给出相对论性金金（Au+Au）碰撞不同中心度区间内，采用卡尔曼滤波粒子法结合BDT（提升决策树，Boosted Decision Tree）训练的Λ、Ω和D⁰粒子的显著性，与采用螺旋泳动（HS）法结合BDT训练的对应粒子显著性的比值随粒子横动量的变化关系。
提供机构：
Science Data Bank
创建时间：
2023-09-12
