4.7 Article

Momentum distributions of cosmic relics: Improved analysis

期刊

PHYSICAL REVIEW D
卷 105, 期 12, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.105.123005

关键词

-

资金

  1. Academy of Finland [310130, 342777, 318319]
  2. doctoral program in Particle Physics and Universe Sciences in University of Helsinki
  3. Academy of Finland (AKA) [310130, 318319, 318319, 310130] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

We solve the momentum-dependent Boltzmann equations for cosmic relic particles without using approximations, and demonstrate the precision and accuracy of our numerical method through the investigation of two benchmark models. The results show that kinetic equilibrium can hold well near sharp resonances, but the integrated method may underestimate the relic density in extreme cases. Additionally, the inclusion of previously ignored elastic interactions in the sterile neutrino dark matter model has negligible effects, confirming the robustness of earlier predictions.
We solve coupled momentum-dependent Boltzmann equations for the phase space distribution of cosmic relic particles, without resorting to approximations of assuming kinetic equilibrium or neglecting backscattering or elastic interactions. Our method is amendable to precision numerical computations. To test it, we consider two benchmark models where the momentum dependence of dark matter distribution function is potentially important: a real singlet scalar extension near the Higgs resonance and a sterile neutrino dark matter model with a singlet scalar mediator. The singlet scalar example shows that the kinetic equilibrium may hold surprisingly well even near sharp resonances. However, the integrated method may underestimate the relic density by up to 40% in extreme cases. In the sterile neutrino dark matter model, we studied how the inclusion of previously ignored elastic interactions and processes with initial state sterile neutrinos could affect the nonthermal nature of their resulting distributions. Here the effects turned out to be negligible, proving the robustness of the earlier predictions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据