arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1912.09486hep-phastro-ph.HE
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从暗物质湮灭到中微子

Dark Matter Annihilation to Neutrinos

Carlos A. Argüelles, Alejandro Diaz, Ali Kheirandish, Andrés Olivares-Del-Campo, Ibrahim Safa, Aaron C. Vincent

摘要:

我们回顾了暗物质湮灭为中微子的暗物质质量范围从兆电子伏$/c^2$到ZeV $/c^2$。热产生的暗物质模型预计会自我湮灭为标准模型产物。由于还没有检测到这样的信号,我们转向中微子探测器来限制“最不可见的通道”。我们回顾了用于探测中微子的实验技术,并重新审视了当前和即将到来的中微子实验对中微子通量的预期贡献。我们使用最近可用的数据对暗物质自零化截面到中微子$\langle σv \rangle$的约束进行了更新,并预测了即将进行的实验的敏感性,如Hyper-Kamiokande,DUNE和IceCube Gen-2。在可能的情况下,限制和投影缩放到一组暗物质晕参数进行一致的比较。我们认为银河系和河外的信号$s$,$p$,和$d$波湮灭过程直接进入中微子对,产生的限制范围从$\langle σv \rangle \sim 2.5\times10^{-26}~{\rm cm}^3 {\rm s}^{-1}$在30兆电子伏$/c^2$到$10^{-17}~{\rm cm}^3{\rm s}^{-1}$在10 $^{11}$ $/c^2$。报告其事件的方向和能量信息的实验提供了更强的约束,概述了公开这些数据的重要性。

英文摘要:

We review the annihilation of dark matter into neutrinos over a range of dark matter masses from MeV$/c^2$ to ZeV$/c^2$. Thermally-produced models of dark matter are expected to self-annihilate to standard model products. As no such signal has yet been detected, we turn to neutrino detectors to constrain the ``most invisible channel.'' We review the experimental techniques that are used to detect neutrinos, and revisit the expected contributions to the neutrino flux at current and upcoming neutrino experiments. We place updated constraints on the dark matter self-annhilation cross section to neutrinos $\langle σv \rangle$ using the most recently available data, and forecast the sensitivity of upcoming experiments such as Hyper-Kamiokande, DUNE, and IceCube Gen-2. Where possible, limits and projections are scaled to a single set of dark matter halo parameters for consistent comparison. We consider Galactic and extragalactic signals of $s$, $p$, and $d$-wave annihilation processes directly into neutrino pairs, yielding constraints that range from $\langle σv \rangle \sim 2.5\times10^{-26}~{\rm cm}^3 {\rm s}^{-1}$ at 30 MeV$/c^2$ to $10^{-17}~{\rm cm}^3{\rm s}^{-1}$ at 10$^{11}$ GeV$/c^2$. Experiments that report directional and energy information of their events provide much stronger constraints, outlining the importance of making such data public.

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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