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

Authors :
The GAMBIT Dark Matter Workgroup:
Torsten 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
Source :
European Physical Journal C: Particles and Fields, Vol 77, Iss 12, Pp 1-57 (2017)
Publication Year :
2017
Publisher :
SpringerOpen, 2017.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
14346044 and 14346052
Volume :
77
Issue :
12
Database :
Directory of Open Access Journals
Journal :
European Physical Journal C: Particles and Fields
Publication Type :
Academic Journal
Accession number :
edsdoj.b831e308f2e042a2868e3ad00f39b5db
Document Type :
article
Full Text :
https://doi.org/10.1140/epjc/s10052-017-5155-4