Global analyses of Higgs portal singlet dark matter models using GAMBIT

The GAMBIT Collaboration

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)

Abstract

We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs portal, we use GAMBIT to determine the preferred mass and coupling ranges for models with vector, Majorana and Dirac fermion dark matter. We also assess the relative plausibility of all four models using Bayesian model comparison. Our analysis includes up-to-date likelihood functions for the dark matter relic density, invisible Higgs decays, and direct and indirect searches for weakly-interacting dark matter including the latest XENON1T data. We also account for important uncertainties arising from the local density and velocity distribution of dark matter, nuclear matrix elements relevant to direct detection, and Standard Model masses and couplings. In all Higgs portal models, we find parameter regions that can explain all of dark matter and give a good fit to all data. The case of vector dark matter requires the most tuning and is therefore slightly disfavoured from a Bayesian point of view. In the case of fermionic dark matter, we find a strong preference for including a CP-violating phase that allows suppression of constraints from direct detection experiments, with odds in favour of CP violation of the order of 100:1. Finally, we present DDCalc2.0.0, a tool for calculating direct detection observables and likelihoods for arbitrary non-relativistic effective operators.

Original languageEnglish
Article number38
Number of pages28
JournalEuropean Physical Journal C
Volume79
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • Dark matter
  • Gamma-ray excess
  • Models

Cite this

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title = "Global analyses of Higgs portal singlet dark matter models using GAMBIT",
abstract = "We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs portal, we use GAMBIT to determine the preferred mass and coupling ranges for models with vector, Majorana and Dirac fermion dark matter. We also assess the relative plausibility of all four models using Bayesian model comparison. Our analysis includes up-to-date likelihood functions for the dark matter relic density, invisible Higgs decays, and direct and indirect searches for weakly-interacting dark matter including the latest XENON1T data. We also account for important uncertainties arising from the local density and velocity distribution of dark matter, nuclear matrix elements relevant to direct detection, and Standard Model masses and couplings. In all Higgs portal models, we find parameter regions that can explain all of dark matter and give a good fit to all data. The case of vector dark matter requires the most tuning and is therefore slightly disfavoured from a Bayesian point of view. In the case of fermionic dark matter, we find a strong preference for including a CP-violating phase that allows suppression of constraints from direct detection experiments, with odds in favour of CP violation of the order of 100:1. Finally, we present DDCalc2.0.0, a tool for calculating direct detection observables and likelihoods for arbitrary non-relativistic effective operators.",
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author = "Peter Athron and Csaba Bal{\'a}zs and Ankit Beniwal and Sanjay Bloor and Camargo-Molina, {Jos{\'e} Eliel} and Cornell, {Jonathan M.} and Ben Farmer and Andrew Fowlie and {E. Gonzalo}, Tom{\'a}s and Felix Kahlhoefer and Anders Kvellestad and Martinez, {Gregory D.} and Pat Scott and Vincent, {Aaron C.} and Sebastian Wild and Martin White and Williams, {Anthony G.} and {The GAMBIT Collaboration}",
year = "2019",
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doi = "10.1140/epjc/s10052-018-6513-6",
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Global analyses of Higgs portal singlet dark matter models using GAMBIT. / The GAMBIT Collaboration.

In: European Physical Journal C, Vol. 79, No. 1, 38, 01.01.2019.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Global analyses of Higgs portal singlet dark matter models using GAMBIT

AU - Athron, Peter

AU - Balázs, Csaba

AU - Beniwal, Ankit

AU - Bloor, Sanjay

AU - Camargo-Molina, José Eliel

AU - Cornell, Jonathan M.

AU - Farmer, Ben

AU - Fowlie, Andrew

AU - E. Gonzalo, Tomás

AU - Kahlhoefer, Felix

AU - Kvellestad, Anders

AU - Martinez, Gregory D.

AU - Scott, Pat

AU - Vincent, Aaron C.

AU - Wild, Sebastian

AU - White, Martin

AU - Williams, Anthony G.

AU - The GAMBIT Collaboration

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs portal, we use GAMBIT to determine the preferred mass and coupling ranges for models with vector, Majorana and Dirac fermion dark matter. We also assess the relative plausibility of all four models using Bayesian model comparison. Our analysis includes up-to-date likelihood functions for the dark matter relic density, invisible Higgs decays, and direct and indirect searches for weakly-interacting dark matter including the latest XENON1T data. We also account for important uncertainties arising from the local density and velocity distribution of dark matter, nuclear matrix elements relevant to direct detection, and Standard Model masses and couplings. In all Higgs portal models, we find parameter regions that can explain all of dark matter and give a good fit to all data. The case of vector dark matter requires the most tuning and is therefore slightly disfavoured from a Bayesian point of view. In the case of fermionic dark matter, we find a strong preference for including a CP-violating phase that allows suppression of constraints from direct detection experiments, with odds in favour of CP violation of the order of 100:1. Finally, we present DDCalc2.0.0, a tool for calculating direct detection observables and likelihoods for arbitrary non-relativistic effective operators.

AB - We present global analyses of effective Higgs portal dark matter models in the frequentist and Bayesian statistical frameworks. Complementing earlier studies of the scalar Higgs portal, we use GAMBIT to determine the preferred mass and coupling ranges for models with vector, Majorana and Dirac fermion dark matter. We also assess the relative plausibility of all four models using Bayesian model comparison. Our analysis includes up-to-date likelihood functions for the dark matter relic density, invisible Higgs decays, and direct and indirect searches for weakly-interacting dark matter including the latest XENON1T data. We also account for important uncertainties arising from the local density and velocity distribution of dark matter, nuclear matrix elements relevant to direct detection, and Standard Model masses and couplings. In all Higgs portal models, we find parameter regions that can explain all of dark matter and give a good fit to all data. The case of vector dark matter requires the most tuning and is therefore slightly disfavoured from a Bayesian point of view. In the case of fermionic dark matter, we find a strong preference for including a CP-violating phase that allows suppression of constraints from direct detection experiments, with odds in favour of CP violation of the order of 100:1. Finally, we present DDCalc2.0.0, a tool for calculating direct detection observables and likelihoods for arbitrary non-relativistic effective operators.

KW - Dark matter

KW - Gamma-ray excess

KW - Models

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JO - European Physical Journal C

JF - European Physical Journal C

SN - 1434-6044

IS - 1

M1 - 38

ER -