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arXiv 2010.02936astro-ph.COhep-ph
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从Milky Way卫星丰度看速度相关的暗物质-质子散射的界限

Bounds on velocity-dependent dark matter-proton scattering from Milky Way satellite abundance

Karime Maamari, Vera Gluscevic, Kimberly K. Boddy, Ethan O. Nadler, Risa H. Wechsler

摘要:

我们使用最新的测量银河系卫星人口的暗能量调查和泛星1推断最严格的天体物理约束到目前为止的速度依赖于暗物质粒子和质子之间的相互作用。我们模型的动量转移截面的相对粒子速度$v$与自由归一化振幅,$σ_\text{MT}=σ_0 v^n$的幂律,广泛捕捉内产生的非相对论有效理论的暗物质-质子散射的相互作用。这种散射导致早期宇宙中重子和暗物质流体之间的动量和热量转移,最终消除了小物理尺度上的结构,并减少了今天矮星系的低质量晕的丰度。从与冷碰撞暗物质范例的观测的一致性,使用一种新的方法,依赖于最强大的线性微扰理论的预测,我们推断$σ_0$的$1.4\times10^{-23}$,$2.1\times10^{-19}$和$1.0\times10^{-12}\ \mathrm{cm}^2$,$n=2,4,6$的相互作用模型的上限,分别为暗物质粒子质量的$10\ \mathrm{MeV}$。这些结果提高了观测限制暗物质-质子散射的数量级,从而为可行的亚GeV暗物质候选者提供了重要的指导。

英文摘要:

We use the latest measurements of the Milky Way satellite population from the Dark Energy Survey and Pan-STARRS1 to infer the most stringent astrophysical bound to date on velocity-dependent interactions between dark matter particles and protons. We model the momentum-transfer cross section as a power law of the relative particle velocity $v$ with a free normalizing amplitude, $σ_\text{MT}=σ_0 v^n$, to broadly capture the interactions arising within the non-relativistic effective theory of dark matter-proton scattering. The scattering leads to a momentum and heat transfer between the baryon and dark matter fluids in the early Universe, ultimately erasing structure on small physical scales and reducing the abundance of low-mass halos that host dwarf galaxies today. From the consistency of observations with the cold collisionless dark matter paradigm, using a new method that relies on the most robust predictions of the linear perturbation theory, we infer an upper limit on $σ_0$ of $1.4\times10^{-23}$, $2.1\times10^{-19}$, and $1.0\times10^{-12}\ \mathrm{cm}^2$, for interaction models with $n=2,4,6$, respectively, for a dark matter particle mass of $10\ \mathrm{MeV}$. These results improve observational limits on dark matter--proton scattering by orders of magnitude and thus provide an important guide for viable sub-GeV dark matter candidates.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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