Improved extrapolation methods of data-driven background estimations in high energy physics

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초록

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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제목
Improved extrapolation methods of data-driven background estimations in high energy physics
저자
Choi, SuyongOh, Hayoung
DOI
10.1140/epjc/s10052-021-09404-1
발행일
2021-07
유형
Article
저널명
European Physical Journal C
81
7