Convolved substructure: analytically decorrelating jet substructure observables

Moult, Ian; Nachman, Benjamin; Neill, Duff

doi:10.1007/jhep05(2018)002

Title: Convolved substructure: analytically decorrelating jet substructure observables

Journal Article · 02 May 2018 · Journal of High Energy Physics (Online)

DOI: https://doi.org/10.1007/jhep05(2018)002 · OSTI ID:1485093

Moult, Ian ^[1]; Nachman, Benjamin ^[2]; Neill, Duff ^[3]

Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

A number of recent applications of jet substructure, in particular searches for light new particles, require substructure observables that are decorrelated with the jet mass. In this paper we introduce the Convolved SubStructure (CSS) approach, which uses a theoretical understanding of the observable to decorrelate the complete shape of its distribution. This decorrelation is performed by convolution with a shape function whose parameters and mass dependence are derived analytically. We consider in detail the case of the D₂ observable and perform an illustrative case study using a search for a light hadronically decaying Z'. We find that the CSS approach completely decorrelates the D₂ observable over a wide range of masses. Our approach highlights the importance of improving the theoretical understanding of jet substructure observables to exploit increasingly subtle features for performance.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-05CH11231; FG02-05ER41360; SC0011090; AC52-06NA25396

OSTI ID:: 1485093

Journal Information:: Journal of High Energy Physics (Online), Vol. 2018, Issue 5; ISSN 1029-8479

Publisher:: Springer BerlinCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 35 works

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