Detalhes do Documento

The simplified likelihood framework

Autor(es): Buckley, Andy ; Citron, Matthew ; Fichet, Sylvain [UNESP] ; Kraml, Sabine ; Waltenberger, Wolfgang ; Wardle, Nicholas

Data: 2019

Identificador Persistente: http://hdl.handle.net/11449/188969

Origem: Oasisbr

Assunto(s): Beyond Standard Model; Hadron-Hadron scattering (experiments); Beyond Standard Model; Beyond Standard Model; Hadron-Hadron scattering (experiments); Hadron-Hadron scattering (experiments)


Descrição

Made available in DSpace on 2019-10-06T16:25:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-04-01

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.

School of Physics & Astronomy University of Glasgow

University of California

Walter Burke Institute for Theoretical Physics California Institute of Technology

ICTP-SAIFR & IFT-UNESP, R. Dr. Bento Teobaldo Ferraz 271

Laboratoire de Physique Subatomique et de Cosmologie Université Grenoble-Alpes CNRS/IN2P3, 53 Avenue des Martyrs

Institut für Hochenergiephysik Österreichische Akademie der Wissenschaften, Nikolsdorfer Gasse 18

Faculty of Physics University of Vienna, Boltzmanngasse 5

Imperial College London, South Kensington

ICTP-SAIFR & IFT-UNESP, R. Dr. Bento Teobaldo Ferraz 271

Tipo de Documento Artigo científico
Idioma Inglês
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