The simplified likelihood framework

Buckley, A. , Citron, M., Fichet, S., Kraml, S., Waltenberger, W. and Wardle, N. (2019) The simplified likelihood framework. Journal of High Energy Physics, 2019(4), 64. (doi: 10.1007/JHEP04(2019)064)

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Abstract

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Buckley, Dr Andy
Authors: Buckley, A., Citron, M., Fichet, S., Kraml, S., Waltenberger, W., and Wardle, N.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Journal of High Energy Physics
Publisher:Springer
ISSN:1126-6708
ISSN (Online):1029-8479
Published Online:08 April 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Journal of High Energy Physics 2019(4): 64
Publisher Policy:Reproduced under a Creative Commons License

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