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DarkBit: a GAMBIT module for computing dark matter observables and likelihoods

Bringmann, Torsten ; Conrad, Jan ; Cornell, Jonathan M. ; Dal, Lars A. ; Edsjö, Joakim ; Farmer, Ben ; Kahlhoefer, Felix ; Kvellestad, Anders ; Putze, Antje ; Savage, Christopher ; Scott, Pat ; Weniger, Christoph ; White, Martin ; Wild, Sebastian

The European physical journal. C, Particles and fields, 2017-12, Vol.77 (12), p.1-57, Article 831 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Título:
DarkBit: a GAMBIT module for computing dark matter observables and likelihoods
Autor: Bringmann, Torsten ; Conrad, Jan ; Cornell, Jonathan M. ; Dal, Lars A. ; Edsjö, Joakim ; Farmer, Ben ; Kahlhoefer, Felix ; Kvellestad, Anders ; Putze, Antje ; Savage, Christopher ; Scott, Pat ; Weniger, Christoph ; White, Martin ; Wild, Sebastian
Assuntos: Astronomy ; Astrophysics ; Astrophysics and Cosmology ; Computation ; Computer simulation ; Dark matter ; Elementary Particles ; Gamma rays ; Hadrons ; Heavy Ions ; High Energy Physics - Phenomenology ; Instrumentation and Detectors ; Mathematical models ; Measurement Science and Instrumentation ; Neutrinos ; Nuclear Energy ; Nuclear Physics ; Particle physics ; Particle spin ; Physics ; Physics and Astronomy ; Quantum Field Theories ; Quantum Field Theory ; Regular Article - Theoretical Physics ; Routines ; Standard model (particle physics) ; Statistical inference ; String Theory
É parte de: The European physical journal. C, Particles and fields, 2017-12, Vol.77 (12), p.1-57, Article 831
Notas: NFR/230546
Descrição: We 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.
Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês;Norueguês

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DarkBit: a GAMBIT module for computing dark matter observables and likelihoods

Bringmann, Torsten ; Conrad, Jan ; Cornell, Jonathan M. ; Dal, Lars A. ; Edsjö, Joakim ; Farmer, Ben ; Kahlhoefer, Felix ; Kvellestad, Anders ; Putze, Antje ; Savage, Christopher ; Scott, Pat ; Weniger, Christoph ; White, Martin ; Wild, Sebastian

Berlin/Heidelberg: Springer Berlin Heidelberg

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