The simplified likelihood framework

Author(s)
Andy Buckley, Matthew Citron, Sylvain Fichet, Sabine Kraml, Wolfgang Waltenberger, Nicholas Wardle
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.

Organisation(s)
Particle Physics
External organisation(s)
University of Glasgow, University of California, Santa Barbara, California Institute of Technology (Caltech), ICTP SAIFR, Universidade Estadual Paulista „Júlio de Mesquita Filho“, Université Grenoble Alpes, Österreichische Akademie der Wissenschaften (ÖAW), Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
Journal
Journal of High Energy Physics
No. of pages
27
ISSN
1029-8479
DOI
https://doi.org/10.1007/JHEP04(2019)064
Publication date
04-2019
Peer reviewed
Yes
Austrian Fields of Science 2012
103012 High energy physics
Keywords
Portal url
https://ucris.univie.ac.at/portal/en/publications/the-simplified-likelihood-framework(cd044824-b531-47a3-aed5-f5036407ef4e).html