arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1311.3296astro-ph.CO
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暗物质晕相空间中的成团现象。II。稳定成团与暗物质湮灭

Clustering in the Phase Space of Dark Matter Haloes. II. Stable Clustering and Dark Matter Annihilation

Jesus Zavala, Niayesh Afshordi

摘要:

我们提出了一个模型的粒子相空间平均密度($P^2SAD$)在星系晕的结构,最近推出的一种新的措施的集群的暗物质。我们的模型是基于相空间中的稳定聚类假设,球形塌陷模型,和潮汐破坏的子结构,这是校准对宝瓶座模拟。使用这个模型,我们可以预测的行为$P^2SAD$的数值未解决的制度,下到通用WIMP模型的去耦质量限制。这种预测可以用来估计对暗物质小尺度结构敏感的信号。例如,暗物质湮灭率可以通过一种方便的方法来估计,对于任意的速度依赖的横截面,使用物理空间中的零分离的限制$P^2SAD$。我们说明了我们的方法,通过计算全球和本地的subhalo湮灭提升到平滑的暗物质分布在银河大小的晕。两种情况下被认为是,一个截面是速度无关的,一个近似Sommercant增强模型。我们发现,全球的提升是$\sim10-30$,这是在目前的估计低端(削弱大的河外信号的预期),而在太阳半径的提升是低于百分之水平。我们公开了计算$P^2SAD$的代码,它可用于估计探测暗物质晕纳米结构的各种观测值。

英文摘要:

We present a model for the structure of the particle phase space average density ($P^2SAD$) in galactic haloes, introduced recently as a novel measure of the clustering of dark matter. Our model is based on the stable clustering hypothesis in phase space, the spherical collapse model, and tidal disruption of substructures, which is calibrated against the Aquarius simulations. Using this model, we can predict the behaviour of $P^2SAD$ in the numerically unresolved regime, down to the decoupling mass limit of generic WIMP models. This prediction can be used to estimate signals sensitive to the small scale structure of dark matter. For example, the dark matter annihilation rate can be estimated for arbitrary velocity-dependent cross sections in a convenient way using a limit of $P^2SAD$ to zero separation in physical space. We illustrate our method by computing the global and local subhalo annihilation boost to that of the smooth dark matter distribution in a Milky-Way-size halo. Two cases are considered, one where the cross section is velocity independent and one that approximates Sommerfeld-enhanced models. We find that the global boost is $\sim10-30$, which is at the low end of current estimates (weakening expectations of large extragalactic signals), while the boost at the solar radius is below the percent level. We make our code to compute $P^2SAD$ publicly available, which can be used to estimate various observables that probe the nanostructure of dark matter haloes.

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