Improved extrapolation methods of data-driven background estimations in high energy physicsopen access
- Authors
- Choi, Suyong; Oh, Hayoung
- Issue Date
- Jul-2021
- Publisher
- SPRINGER
- Citation
- EUROPEAN PHYSICAL JOURNAL C, v.81, no.7
- Indexed
- SCIE
SCOPUS
- Journal Title
- EUROPEAN PHYSICAL JOURNAL C
- Volume
- 81
- Number
- 7
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/144674
- DOI
- 10.1140/epjc/s10052-021-09404-1
- ISSN
- 1434-6044
1434-6052
- Abstract
- 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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Collections - College of Science > Department of Physics > 1. Journal Articles
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