Improved extrapolation methods of data-driven background estimations in high energy physics
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AbstractData-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.
2018 ◽
Vol 68
(1)
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pp. 291-312
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2008 ◽
Vol 01
(01)
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pp. 259-302
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2014 ◽
Vol 25
(02)
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pp. 1430001
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