Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
92 tokens/sec
Gemini 2.5 Pro Premium
40 tokens/sec
GPT-5 Medium
26 tokens/sec
GPT-5 High Premium
26 tokens/sec
GPT-4o
82 tokens/sec
DeepSeek R1 via Azure Premium
86 tokens/sec
GPT OSS 120B via Groq Premium
456 tokens/sec
Kimi K2 via Groq Premium
209 tokens/sec
2000 character limit reached

Coscattering/Coannihilation Dark Matter in a Fraternal Twin Higgs Model (1805.12139v2)

Published 30 May 2018 in hep-ph and hep-ex

Abstract: Dark matter candidates arise naturally in many models that address the hierarchy problem. In the fraternal twin Higgs model which could explain the absence of the new physics signals at the Large Hadron Collider (LHC), there are several viable dark matter candidates. In this paper we study the twin neutrino in the mass range $\sim$ 0.1--10 GeV as the dark matter. The thermal relic density is determined by the interplay of several annihilation and scattering processes between the twin neutrino, twin tau, and twin photon, depending on the order of the freeze-out temperatures of these processes. Besides the common coannihilation scenario where the relic density is controlled by the twin tau annihilation, it can realize the recently discovered coscattering phase if the scattering of the twin neutrino into the twin tau freezes out earlier than the twin tau annihilation. We also provide a method to calculate the thermal relic density in the intermediate regime where both coannihilation and coscattering processes contribute to the determination of the dark matter density. We show that the right amount of dark matter can be obtained in various scenarios in different regions of the parameter space. The current experimental constraints and future probes into the parameter space from direct detections, cosmological and astrophysical bounds, dark photon searches, and displaced decays at colliders, are discussed.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube