Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/111170
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dc.contributor.authorBringmann, T.en
dc.contributor.authorConrad, J.en
dc.contributor.authorCornell, J.en
dc.contributor.authorDal, L.en
dc.contributor.authorEdsjö, J.en
dc.contributor.authorFarmer, B.en
dc.contributor.authorKahlhoefer, F.en
dc.contributor.authorKvellestad, A.en
dc.contributor.authorPutze, A.en
dc.contributor.authorSavage, C.en
dc.contributor.authorScott, P.en
dc.contributor.authorWeniger, C.en
dc.contributor.authorWhite, M.en
dc.contributor.authorWild, S.en
dc.date.issued2017en
dc.identifier.citationEuropean Physical Journal C, 2017; 77(12)en
dc.identifier.issn1434-6044en
dc.identifier.issn1434-6052en
dc.identifier.urihttp://hdl.handle.net/2440/111170-
dc.description.abstractWe introduce DarkBit, an advanced software code for computing dark matter constraints on various extensions to the Standard Model of particle physics, comprising both new native code and interfaces to external packages. This release includes a dedicated signal yield calculator for gamma-ray observations, which significantly extends current tools by implementing a cascade-decay Monte Carlo, as well as a dedicated likelihood calculator for current and future experiments (gamLike). This provides a general solution for studying complex particle physics models that predict dark matter annihilation to a multitude of final states. We also supply a direct detection package that models a large range of direct detection experiments (DDCalc), and that provides the corresponding likelihoods for arbitrary combinations of spin-independent and spin-dependent scattering processes. Finally, we provide custom relic density routines along with interfaces to DarkSUSY, micrOMEGAs, and the neutrino telescope likelihood package nulike. DarkBit is written in the framework of the Global And Modular Beyond the Standard Model Inference Tool (GAMBIT), providing seamless integration into a comprehensive statistical fitting framework that allows users to explore new models with both particle and astrophysics constraints, and a consistent treatment of systematic uncertainties. In this paper we describe its main functionality, provide a guide to getting started quickly, and show illustrative examples for results obtained with DarkBit (both as a stand-alone tool and as a GAMBIT module). This includes a quantitative comparison between two of the main dark matter codes (DarkSUSY and micrOMEGAs), and application of DarkBit’s advanced direct and indirect detection routines to a simple effective dark matter model.en
dc.description.statementofresponsibilityTorsten Bringmann, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Joakim Edsjö, Ben Farmer, Felix Kahlhoefer, Anders Kvellestad, Antje Putze, Christopher Savage, Pat Scott, Christoph Weniger, Martin White, Sebastian Wild (The GAMBIT Dark Matter Workgroup)en
dc.language.isoenen
dc.publisherSpringeren
dc.rights© The Author(s) 2017. This article is an open access publicationen
dc.titleDarkBit: a GAMBIT module for computing dark matter observables and likelihoodsen
dc.typeJournal articleen
dc.identifier.rmid0030080212en
dc.identifier.doi10.1140/epjc/s10052-017-5155-4en
dc.relation.granthttp://purl.org/au-research/grants/arc/CE1101004en
dc.relation.granthttp://purl.org/au-research/grants/arc/FT130100018en
dc.relation.granthttp://purl.org/au-research/grants/arc/FT140100244en
dc.relation.granthttp://purl.org/au-research/grants/arc/FT160100274en
dc.identifier.pubid390750-
pubs.library.collectionPhysics publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Physics publications

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