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Improved extrapolation methods of data-driven background estimations in high energy physics
- Choi, Suyong;
- Oh, Hayoung
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15초록
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.
키워드
TOP-QUARK PRODUCTION; P(P)OVER-BAR COLLISIONS; RESONANCE; SEARCH
- 제목
- Improved extrapolation methods of data-driven background estimations in high energy physics
- 저자
- Choi, Suyong; Oh, Hayoung
- 발행일
- 2021-07
- 유형
- Article
- 권
- 81
- 호
- 7