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Difference of Resonance Significance in Different Approach of Analysis Using Multiple Datasets(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年04期
Page:
21-25
Research Field:
物理学
Publishing date:

Info

Title:
Difference of Resonance Significance in Different Approach of Analysis Using Multiple Datasets
Author(s):
Zhang Jingqing
(Nanjing Normal University,School of Physics and Technology,Nanjing 210023,China)
Keywords:
multiple datasets; simultaneous fit; significance
PACS:
N56
DOI:
10.3969/j.issn.1001-4616.2022.04.004
Abstract:
Statistics is important in experiment of particle physics. It will affect not only statistical uncertainty but also significance. To improve sensitive and increase significance,a common way is to combine multiple datasets to enlarge the statistics in the analysis. There are two frequently used approaches. The first one is that the datasets are added together as one whole dataset,then the analysis is performed on this unique dataset. The second approach doesn't need to construct a whole dataset,instead,a simultaneous fit will be applied to all the datasets,and information of the signal will be extracted in this simultaneous fit. In this paper,the difference of resonance significance in these two different approaches are studied. The research and conclusion can be used as a reference for future analysis using multiple datasets.

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Last Update: 2022-12-15