The simplified likelihood framework
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Data
2019-04-01
Autores
Buckley, Andy
Citron, Matthew
Fichet, Sylvain [UNESP]
Kraml, Sabine
Waltenberger, Wolfgang
Wardle, Nicholas
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Resumo
We discuss the simplified likelihood framework as a systematic approximation scheme for experimental likelihoods such as those originating from LHC experiments. We develop the simplified likelihood from the Central Limit Theorem keeping the next-to-leading term in the large N expansion to correctly account for asymmetries. Moreover, we present an efficient method to compute the parameters of the simplified likelihood from Monte Carlo simulations. The approach is validated using a realistic LHC-like analysis, and the limits of the approximation are explored. Finally, we discuss how the simplified likelihood data can be conveniently released in the HepData error source format and automatically built from it, making this framework a convenient tool to transmit realistic experimental likelihoods to the community.
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Beyond Standard Model, Hadron-Hadron scattering (experiments)
Como citar
Journal of High Energy Physics, v. 2019, n. 4, 2019.