dc.date.accessioned | 2021-01-19T20:22:11Z | |
dc.date.available | 2021-01-19T20:22:11Z | |
dc.date.created | 2021-01-11T10:43:51Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Buckley, Andy Kvellestad, Anders Raklev, Are Scott, Pat Sparre, Jon Vegard Van den Abeele, Jeriek Paul Vazquez-Holm, Ingrid . Xsec: the cross-section evaluation code. European Physical Journal C. 2020, 80(12) | |
dc.identifier.uri | http://hdl.handle.net/10852/82351 | |
dc.description.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. | |
dc.language | EN | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Xsec: the cross-section evaluation code | |
dc.type | Journal article | |
dc.creator.author | Buckley, Andy | |
dc.creator.author | Kvellestad, Anders | |
dc.creator.author | Raklev, Are | |
dc.creator.author | Scott, Pat | |
dc.creator.author | Sparre, Jon Vegard | |
dc.creator.author | Van den Abeele, Jeriek Paul | |
dc.creator.author | Vazquez-Holm, Ingrid | |
cristin.unitcode | 185,15,4,80 | |
cristin.unitname | Teoretisk fysikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.cristin | 1868691 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European Physical Journal C&rft.volume=80&rft.spage=&rft.date=2020 | |
dc.identifier.jtitle | European Physical Journal C | |
dc.identifier.volume | 80 | |
dc.identifier.issue | 12 | |
dc.identifier.doi | https://doi.org/10.1140/epjc/s10052-020-08635-y | |
dc.identifier.urn | URN:NBN:no-85236 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 1434-6044 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/82351/1/scoap3-fulltext-1.pdf | |
dc.type.version | PublishedVersion | |
cristin.articleid | 1106 | |
dc.relation.project | NOTUR/NORSTORE/NN9284K | |