scholarly journals Two natural scenarios for dark matter particles coexisting with supersymmetry

2019 ◽  
Vol 34 (02) ◽  
pp. 1930001 ◽  
Author(s):  
Maxwell Throm ◽  
Reagan Thornberry ◽  
John Killough ◽  
Brian Sun ◽  
Gentill Abdulla ◽  
...  
Keyword(s):  
Dark Matter ◽  
Cross Sections ◽  
Higgs Sector ◽  
Weakly Interacting Massive Particles ◽  
Indirect Detection ◽  
Experimental Facilities ◽  
Direct And Indirect Detection ◽  
Extended Higgs Sector ◽  
Matter Component ◽  
Multicomponent Model

We describe two natural scenarios in which both dark matter, weakly interacting massive particles (WIMPs) and a variety of supersymmetric partners should be discovered in the foreseeable future. In the first scenario, the WIMPs are neutralinos, but they are only one component of the dark matter, which is dominantly composed of other relic particles such as axions. (This is the multicomponent model of Baer, Barger, Sengupta and Tata.) In the second scenario, the WIMPs result from an extended Higgs sector and may be the only dark matter component. In either scenario, both the dark matter WIMP and a plethora of other neutral and charged particles await discovery at many experimental facilities. The new particles in the second scenario have far weaker cross-sections for direct and indirect detection via their gauge interactions, which are either momentum-dependent or second-order. However, as we point out here, they should have much stronger interactions via the Higgs. We estimate that their interactions with fermions will then be comparable to (although not equal to) those of neutralinos with a corresponding Higgs interaction. It follows that these newly proposed dark matter particles should be within the reach of emerging and proposed facilities for direct, indirect and collider-based detection.

scholarly journals Dark matter candidates in a type-II radiative neutrino mass model

2021 ◽  
Vol 2021 (6) ◽  
Author(s):  
Roberto A. Lineros ◽  
Mathias Pierre
Keyword(s):  
Dark Matter ◽  
Neutral Particle ◽  
Matter Density ◽  
Indirect Detection ◽  
Dark Matter Candidate ◽  
Neutrino Masses ◽  
Type Ii ◽  
Mass Model ◽  
Direct And Indirect Detection

Abstract We explore the connection between Dark Matter and neutrinos in a model inspired by radiative Type-II seessaw and scotogenic scenarios. In our model, we introduce new electroweakly charged states (scalars and a vector-like fermion) and impose a discrete ℤ2 symmetry. Neutrino masses are generated at the loop level and the lightest ℤ2-odd neutral particle is stable and it can play the role of a Dark Matter candidate. We perform a numerical analysis of the model showing that neutrino masses and flavour structure can be reproduced in addition to the correct dark matter density, with viable DM masses from 700 GeV to 30 TeV. We explore direct and indirect detection signatures and show interesting detection prospects by CTA, Darwin and KM3Net and highlight the complementarity between these observables.

scholarly journals Vector dark matter from split SU(2) gauge bosons

2021 ◽  
Vol 2021 (7) ◽  
Author(s):  
Zexi Hu ◽  
Chengfeng Cai ◽  
Yi-Lei Tang ◽  
Zhao-Huan Yu ◽  
Hong-Hao Zhang
Keyword(s):  
Dark Matter ◽  
Gauge Group ◽  
Measurement Data ◽  
Indirect Detection ◽  
Gauge Bosons ◽  
Dark Matter Relic Density ◽  
Matter Model ◽  
Direct And Indirect Detection ◽  
Numerous Parameter ◽  
Dark Matter Model

Abstract We propose a vector dark matter model with an exotic dark SU(2) gauge group. Two Higgs triplets are introduced to spontaneously break the symmetry. All of the dark gauge bosons become massive, and the lightest one is a viable vector DM candidate. Its stability is guaranteed by a remaining Z2 symmetry. We study the parameter space constrained by the Higgs measurement data, the dark matter relic density, and direct and indirect detection experiments. We find numerous parameter points satisfying all the constraints, and they could be further tested in future experiments. Similar methodology can be used to construct vector dark matter models from an arbitrary SO(N) gauge group.

scholarly journals Dark matter

2014 ◽  
Vol 112 (40) ◽  
pp. 12246-12248 ◽  
Author(s):  
P. James E. Peebles
Keyword(s):  
Dark Matter ◽  
Natural Science ◽  
Full Range ◽  
Big Bang ◽  
Indirect Detection ◽  
Cosmological Tests ◽  
The Rich ◽  
Direct And Indirect Detection

The evidence for the dark matter (DM) of the hot big bang cosmology is about as good as it gets in natural science. The exploration of its nature is now led by direct and indirect detection experiments, to be complemented by advances in the full range of cosmological tests, including judicious consideration of the rich phenomenology of galaxies. The results may confirm ideas about DM already under discussion. If we are lucky, we also will be surprised once again.

scholarly journals Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

2021 ◽  
Vol 2021 (12) ◽  
pp. 037
Author(s):  
Felix Kahlhoefer ◽  
Michael Korsmeier ◽  
Michael Krämer ◽  
Silvia Manconi ◽  
Kathrin Nippel
Keyword(s):  
Neural Networks ◽  
Dark Matter ◽  
Cosmic Ray ◽  
Weakly Interacting Massive Particles ◽  
Propagation Model ◽  
Indirect Detection ◽  
Dark Matter Annihilation ◽  
Wide Range ◽  
Speed Up ◽  
Galactic Cosmic Ray

Abstract The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation. In this work we present a new method based on Recurrent Neural Networks that significantly accelerates simulations of secondary and dark matter Galactic cosmic ray antiprotons while achieving excellent accuracy. This approach allows for an efficient profiling or marginalisation over the nuisance parameters of a cosmic ray propagation model in order to perform parameter scans for a wide range of dark matter models. We identify importance sampling as particularly suitable for ensuring that the network is only evaluated in well-trained parameter regions. We present resulting constraints using the most recent AMS-02 antiproton data on several models of Weakly Interacting Massive Particles. The fully trained networks are released as DarkRayNet together with this work and achieve a speed-up of the runtime by at least two orders of magnitude compared to conventional approaches.

scholarly journals EXTRACTING DARK MATTER PROPERTIES MODEL-INDEPENDENTLY FROM DIRECT DETECTION EXPERIMENTS

2010 ◽  
Vol 25 (11n12) ◽  
pp. 951-961 ◽  
Author(s):  
CHUNG-LIN SHAN
Keyword(s):  
Dark Matter ◽  
Cross Sections ◽  
Direct Detection ◽  
Velocity Distribution Function ◽  
Weakly Interacting Massive Particles ◽  
Model Independent ◽  
Review Model ◽  
Detector Materials ◽  
Matter Detection ◽  
Direct Dark Matter

In this article I review model-independent procedures for extracting properties of Weakly Interacting Massive Particles (WIMPs) from direct Dark Matter detection experiments. Neither prior knowledge about the velocity distribution function of halo Dark Matter particles nor about their mass or cross sections on target nucleus is needed. The unique required information is measured recoil energies from experiments with different detector materials.

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