Xsec: the cross-section evaluation code

Buckley, A. , Kvellestad, A., Raklev, A., Scott, P., Sparre, J. V., Van den Abeele, J. and Vazquez-Holm, I. A. (2020) Xsec: the cross-section evaluation code. European Physical Journal C, 80(12), 1106. (doi: 10.1140/epjc/s10052-020-08635-y)

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Abstract: The evaluation of higher-order cross-sections is an important component in the search for new physics, both at hadron colliders and elsewhere. For most new physics processes of interest, total cross-sections are known at next-to-leading order (NLO) in the strong coupling αs, and often beyond, via either higher-order terms at fixed powers of αs, or multi-emission resummation. However, the computation time for such higher-order cross-sections is prohibitively expensive, and precludes efficient evaluation in parameter-space scans beyond two dimensions. Here we describe the software tool xsec, which allows for fast evaluation of cross-sections based on the use of machine-learning regression, using distributed Gaussian processes trained on a pre-generated sample of parameter points. This first version of the code provides all NLO Minimal Supersymmetric Standard Model strong-production cross-sections at the LHC, for individual flavour final states, evaluated in a fraction of a second. Moreover, it calculates regression errors, as well as estimates of errors from higher-order contributions, from uncertainties in the parton distribution functions, and from the value of αs. While we focus on a specific phenomenological model of supersymmetry, the method readily generalises to any process where it is possible to generate a sufficient training sample.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Buckley, Professor Andy
Authors: Buckley, A., Kvellestad, A., Raklev, A., Scott, P., Sparre, J. V., Van den Abeele, J., and Vazquez-Holm, I. A.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:European Physical Journal C
ISSN (Online):1434-6052
Published Online:02 December 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in European Physical Journal C 80(12): 1106
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300260New physics studies with heavy flavour at the LHCAndrew BuckleyThe Royal Society (ROYSOC)UF160548P&S - Physics & Astronomy