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Computer Physics Communications
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Relext: A New Dark Matter Tool for the Exploration of Dark Matter Models

Authors: Rodrigo Capucha; Karim Elyaouti; Margarete Mühlleitner; Johann Plotnikov; Rui Santos;

Relext: A New Dark Matter Tool for the Exploration of Dark Matter Models

Abstract

We present the {\tt C++} program \texttt{RelExt} for Standard Model (SM) extensions that feature a Dark Matter (DM) candidate. The tool allows to efficiently scan the parameter spaces of these models to find parameter combinations that lead to relic density values which are compatible with the measured value within the uncertainty specified by the user. The code computes the relic density for freeze-out (co-)annihilation processes. The user can choose between several pre-installed models or any arbitrary other model featuring a discrete $\mathbb{Z}_2$ symmetry, by solely providing the corresponding \texttt{FeynRules} model files. The code automatically generates the required (co-)annihilation amplitudes and thermally averaged cross sections, including the total widths in the $s$-channel mediators, and solves the Boltzmann equation to determine the relic density. It can easily be linked to other tools like e.g.~\texttt{ScannerS} to check for the relevant theoretical and experimental constraints, or to \texttt{BSMPT} to investigate the phase history of the model and possibly related gravitational waves signals.

Country
Germany
Related Organizations
Keywords

Extended Higgs sectors, High Energy Physics - Phenomenology, Relic density, High Energy Physics - Phenomenology (hep-ph), Physics, ddc:530, Dark matter, FOS: Physical sciences, info:eu-repo/classification/ddc/530

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
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