Hide metadata

dc.date.accessioned2021-03-20T21:02:26Z
dc.date.available2022-02-24T23:45:48Z
dc.date.created2020-04-26T13:49:30Z
dc.date.issued2020
dc.identifier.citationKvellestad, Anders Scott, Pat White, Martin . GAMBIT and its application in the search for physics Beyond the Standard Model. Progress in Particle and Nuclear Physics. 2020, 00:103769, 1-43
dc.identifier.urihttp://hdl.handle.net/10852/84315
dc.description.abstractThe Global and Modular Beyond-Standard Model Inference Tool (GAMBIT) is an open source software framework for performing global statistical fits of particle physics models, using a wide range of particle and astroparticle data. In this review, we describe the design principles of the package, the statistical and sampling frameworks, the experimental data included, and the first two years of physics results generated with it. This includes supersymmetric models, axion theories, Higgs portal dark matter scenarios and an extension of the Standard Model to include right-handed neutrinos. Owing to the broad spectrum of physics scenarios tackled by the GAMBIT community, this also serves as a convenient, self-contained review of the current experimental and theoretical status of the most popular models of dark matter.
dc.languageEN
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleGAMBIT and its application in the search for physics Beyond the Standard Model
dc.typeJournal article
dc.creator.authorKvellestad, Anders
dc.creator.authorScott, Pat
dc.creator.authorWhite, Martin
cristin.unitcode185,15,4,0
cristin.unitnameFysisk institutt
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1808085
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Progress in Particle and Nuclear Physics&rft.volume=00:103769&rft.spage=1&rft.date=2020
dc.identifier.jtitleProgress in Particle and Nuclear Physics
dc.identifier.volume113
dc.identifier.doihttps://doi.org/10.1016/j.ppnp.2020.103769
dc.identifier.urnURN:NBN:no-87075
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0146-6410
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/84315/2/1912.04079.pdf
dc.type.versionAcceptedVersion
cristin.articleid103769


Files in this item

Appears in the following Collection

Hide metadata

Attribution-NonCommercial-NoDerivatives 4.0 International
This item's license is: Attribution-NonCommercial-NoDerivatives 4.0 International