Improved extrapolation methods of data-driven background estimations in high energy physics
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 pro...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-07-01
|
| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | https://doi.org/10.1140/epjc/s10052-021-09404-1 |
| _version_ | 1818455264566706176 |
|---|---|
| author | Suyong Choi Hayoung Oh |
| author_facet | Suyong Choi Hayoung Oh |
| author_sort | Suyong Choi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T22:08:01Z |
| format | Article |
| id | doaj.art-965cae77332c4227a831a45936e174f8 |
| institution | Directory Open Access Journal |
| issn | 1434-6044 1434-6052 |
| language | English |
| last_indexed | 2024-12-14T22:08:01Z |
| publishDate | 2021-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Physical Journal C: Particles and Fields |
| spelling | doaj.art-965cae77332c4227a831a45936e174f82022-12-21T22:45:49ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60441434-60522021-07-018171710.1140/epjc/s10052-021-09404-1Improved extrapolation methods of data-driven background estimations in high energy physicsSuyong Choi0Hayoung Oh1Department of Physics, Korea UniversityDepartment of Physics, Korea UniversityAbstract 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.https://doi.org/10.1140/epjc/s10052-021-09404-1 |
| spellingShingle | Suyong Choi Hayoung Oh Improved extrapolation methods of data-driven background estimations in high energy physics European Physical Journal C: Particles and Fields |
| title | Improved extrapolation methods of data-driven background estimations in high energy physics |
| title_full | Improved extrapolation methods of data-driven background estimations in high energy physics |
| title_fullStr | Improved extrapolation methods of data-driven background estimations in high energy physics |
| title_full_unstemmed | Improved extrapolation methods of data-driven background estimations in high energy physics |
| title_short | Improved extrapolation methods of data-driven background estimations in high energy physics |
| title_sort | improved extrapolation methods of data driven background estimations in high energy physics |
| url | https://doi.org/10.1140/epjc/s10052-021-09404-1 |
| work_keys_str_mv | AT suyongchoi improvedextrapolationmethodsofdatadrivenbackgroundestimationsinhighenergyphysics AT hayoungoh improvedextrapolationmethodsofdatadrivenbackgroundestimationsinhighenergyphysics |