论文标题
弥漫性超新星中微子背景中的暗物质污染
Dark Matter Pollution in the Diffuse Supernova Neutrino Background
论文作者
论文摘要
预期超甲级化（HYPERK）实验将精确测量弥漫性超新星中微子背景（DSNB）。这要求对相关能源范围内的背景得到充分了解。迄今为止尚未考虑的一种可能的背景是将低质量暗物质（DM）歼灭到中微子上。我们对HyperK中的DSNB信号和背景进行了模拟，并量化了DM歼灭产物可以污染DSNB信号的程度。我们发现，DM的存在可能会影响DSNB物理感兴趣参数的正确值，例如有效的中微子温度和恒星形成率。尽管这打开了同时表征DNSB并通过间接检测发现暗物质的可能性，但我们认为，由于缺乏低能量下可用的角度信息，因此很难解散这两个贡献。
The Hyper-Kamiokande (HyperK) experiment is expected to precisely measure the Diffuse Supernova Neutrino Background (DSNB). This requires that the backgrounds in the relevant energy range are well understood. One possible background that has not been considered thus far is the annihilation of low-mass dark matter (DM) to neutrinos. We conduct simulations of the DSNB signal and backgrounds in HyperK, and quantify the extent to which DM annihilation products can pollute the DSNB signal. We find that the presence of DM could affect the determination of the correct values of parameters of interest for DSNB physics, such as effective neutrino temperatures and star formation rates. While this opens the possibility of simultaneously characterising the DNSB and discovering dark matter via indirect detection, we argue that it would be hard to disentangle the two contributions due to the lack of angular information available at low energies.
