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Observationally inferred dark matter phase-space distribution and direct detection experiments

机译:观察推断暗物质的相空间分布和直接检测实验

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We present a detailed analysis of the effect of an observationally determined dark matter (DM) velocity distribution function (VDF) of the Milky?Way (MW) on DM direct detection rates. We go beyond local kinematic tracers and use rotation curve data up to 200?kpc to construct a MW mass model and self-consistently determine the local phase-space distribution of DM. This approach mitigates any incomplete understanding of local dark matter-visible matter degeneracies that can affect the determination of the VDF. Comparing with the oft used Standard Halo Model (SHM), which assumes an isothermal VDF, we look at how the tail of the empirically determined VDF alters our interpretation of the present direct detection WIMP DM cross section exclusion limits. While previous studies have suggested a very large difference (of more than an order of magnitude) in the bounds at low DM masses, we show that accounting for the detector response at low threshold energies, the difference is still significant although less extreme. The change in the number of signal events, when using the empirically determined DM VDF in contrast to the SHM VDF, is most prominent for low DM masses for which the shape of the recoil energy spectrum depends sensitively on the detector threshold energy as well as detector response near the threshold. We demonstrate that these trends carry over to the respective DM exclusion limits, modulo detailed understanding of the experimental backgrounds. With the unprecedented precision of astrometric data in the GAIA era, use of observationally determined DM phase space will become a critical and necessary ingredient for DM searches. We provide an accurate fit to the current best observationally determined DM VDF (and self-consistent local DM density) for use in analyzing current DM direct detection data by the experimental community.
机译:我们对银河系(MW)的观测确定的暗物质(DM)速度分布函数(VDF)对DM直接检测率的影响进行详细分析。我们超越了局部运动学示踪剂,并使用高达200kkpc的旋转曲线数据来构建MW质量模型,并自洽地确定了DM的局部相空间分布。这种方法减轻了对可能影响VDF确定的局部暗物质-可见物质简并性的不完全理解。与假定等温VDF的常用标准Halo模型(SHM)进行比较,我们研究了凭经验确定的VDF的尾部如何改变我们对当前直接检测WIMP DM横截面排除限值的解释。尽管先前的研究表明在低DM质量下边界存在很大的差异(超过一个数量级),但我们表明,考虑到在低阈值能量下检测器的响应,差异仍然很大,尽管不太极端。与SHM VDF相比,使用经验确定的DM VDF时,信号事件数量的变化对于低DM质量最为突出,其后坐能谱的形状敏感地取决于检测器阈值能量和检测器响应接近阈值。我们证明了这些趋势会延续到相应的DM排除极限,对实验背景进行模化详细了解。由于GAIA时代的天文数据具有前所未有的精度,使用观测确定的DM相空间将成为DM搜索的关键和必要成分。我们为当前最佳观察确定的DM VDF(以及自洽的局部DM密度)提供了精确的拟合,以用于由实验界分析当前的DM直接检测数据。

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