micrOMEGAs 6.0: N-component dark matter

Alguero, G.; Bélanger, G.; Boudjema, F.; Chakraborti, S.; Goudelis, A.; Kraml, S.; Mjallal, A.; Pukhov, A.

doi:10.1016/j.cpc.2024.109133

Cited by 6 publications

(1 citation statement)

References 71 publications

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“…(a) Spectrum of the Z 5 scalar dark matter annihilation ratios that contribute more than 5% of the total for some value of m ϕ1 . We employ the parameters shown in table 1 with m ϕ2 =7 TeV using micrOMEGAs 6.0 [40]. (b) The subsequent gamma ray spectrum for the Z 5 dark matter model for m ϕ1 = 3 TeV and m ϕ2 = 4 TeV against the Z 2 scalar singlet dark matter spectrum for a mass of 4 TeV for comparison.…”

Section: Model Selectionmentioning

confidence: 99%

GammaBayes: a Bayesian pipeline for dark matter detection with CTA

Pinchbeck,

Thrane,

Balazs

2024

J. Cosmol. Astropart. Phys.

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We present GammaBayes, a Bayesian Python package for dark matter detection with the Cherenkov Telescope Array (CTA). GammaBayes takes as input the CTA measurements of gamma rays and a user-specified dark-matter particle model. It outputs the posterior distribution for parameters of the dark-matter model including the velocity-averaged cross section for dark-matter self interactions 〈σv〉 and the dark-matter mass mχ . It also outputs the Bayesian evidence, which can be used for model selection. We demonstrate GammaBayes using 525 hours of simulated data, corresponding to 108 observed gamma-ray events. The vast majority of this simulated data consists of noise, but 100000 events arise from the annihilation of scalar singlet dark matter with mχ = 1 TeV. We recover the dark matter mass within a 95% credible interval of mχ ∼ 0.96–1.07 TeV. Meanwhile, the velocity averaged cross section is constrained to 〈σv〉 ∼ 1.4–2.1 × 10-25 cm3 s-1 (95% credibility). This is equivalent to measuring the number of dark-matter annihilation events to be NS ∼ 1.1-0.2 +0.2 × 105. The no-signal hypothesis 〈σv〉 = 0 is ruled out with about 5σ credibility. We discuss how GammaBayes can be extended to include more sophisticated signal and background models and the computational challenges that must be addressed to facilitate these upgrades. The source code is publicly available here.

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Section: Model Selectionmentioning

confidence: 99%

GammaBayes: a Bayesian pipeline for dark matter detection with CTA

Pinchbeck,

Thrane,

Balazs

2024

J. Cosmol. Astropart. Phys.

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Interpreting 95 GeV di-photon/$$ b\overline{b} $$ excesses as a lightest Higgs boson of the MRSSM

Kalinowski,

Kotlarski

2024

J. High Energ. Phys.

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The Minimal R-symmetric Supersymmetric Standard Model (MRSSM) is a well motivated BSM model which can accommodate the observed 125 GeV Higgs boson in agreement with electroweak precision observables, in particular with the W boson mass and T parameter. In the 2016 paper we showed that the SM-like 125 GeV Higgs state can be also realised as the second-to-lightest scalar of the MRSSM, leaving room for another sub-100 GeV state. Motivated by the recent ATLAS and CMS observation of the di-photon excess at a mass of around 95 GeV we investigate the possibility whether this could be the lightest CP-even MRSSM scalar in a variation of our benchmarks presented in the 2016 work. We show that such a state can also simultaneously explain the excess in the $$ b\overline{b} $$ b b ¯ final state observed around the same mass value at LEP. Due to the R-symmetric nature of the model, a light singlet-like Higgs state leads necessarily to a light bino-singlino Dirac dark matter candidate, which can give a correct relic density while evading current experimental bounds. Dark matter and LHC searches place further bounds on this scenario and point to parameter regions which are viable and of interest for the LHC Run III and upcoming dark matter experiments.

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Higgs portal dark matter freeze-in at stronger coupling: observational benchmarks

Arcadi,

Costa,

Goudelis

et al. 2024

J. High Energ. Phys.

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We study freeze-in production of Higgs portal dark matter (DM) at temperatures far below the dark matter mass. The temperature of the Standard Model (SM) thermal bath may have never been high such that dark matter production via thermal emission has been Boltzmann-suppressed. This allows for a significant coupling between the Higgs field and DM, which is being probed by the direct DM detection experiments and invisible Higgs decay searches at the LHC. We delineate the corresponding parameter space in the Higgs portal framework with dark matter of spin 0, 1/2 and 1.

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micrOMEGAs 6.0: N-component dark matter

Cited by 6 publications

References 71 publications

GammaBayes: a Bayesian pipeline for dark matter detection with CTA

GammaBayes: a Bayesian pipeline for dark matter detection with CTA

Interpreting 95 GeV di-photon/$$ b\overline{b} $$ excesses as a lightest Higgs boson of the MRSSM

Higgs portal dark matter freeze-in at stronger coupling: observational benchmarks

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