期刊
EUROPEAN PHYSICAL JOURNAL C
卷 81, 期 7, 页码 -出版社
SPRINGER
DOI: 10.1140/epjc/s10052-021-09404-1
关键词
-
资金
- Korean National Research Foundation (NRF) [NRF-2018R1A2B6005043, NRF-2020R1A2B5B02001726]
Data-driven methods are utilized in hadron collider experiments to estimate backgrounds accurately, particularly in cases of challenging multi-jet events. This article introduces enhancements to the commonly used ABCD method in the hadron collision environment, extending its applicability to propose improved general methods.
Data-driven methods of background estimations are often used to obtain more reliable descriptions of backgrounds. In hadron collider experiments, data-driven techniques are used to estimate backgrounds due to multi-jet events, which are difficult to model accurately. In this article, we propose an improvement on one of the most widely used data-driven methods in the hadron collision environment, the ABCD method of extrapolation. We describe the mathematical background behind the data-driven methods and extend the idea to propose improved general methods.
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