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Digging for dark matter: Spectral analysis and discovery potential of paleo-detectors

机译:挖掘暗物质:古检测器的光谱分析和发现潜力

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摘要

Paleo-detectors are a recently proposed method for the direct detection of dark matter (DM). In such detectors, one would search for the persistent damage features left by DM-nucleus interactions in ancient minerals. Initial sensitivity projections have shown that paleo-detectors could probe much of the remaining weakly interacting massive particle (WIMP) parameter space. In this paper, we improve upon the cut-andcount approach previously used to estimate the sensitivity by performing a full spectral analysis of the background- and DM-induced signal spectra. We consider two scenarios for the systematic errors on the background spectra: (i) systematic errors on the normalization only, and (ii) systematic errors on the shape of the backgrounds. We find that the projected sensitivity is rather robust to imperfect knowledge of the backgrounds. Finally, we study how well the parameters of the true WIMP model could be reconstructed in the hypothetical case of a WIMP discovery.
机译:古检测器是最近提出的直接检测暗物质(DM)的方法。 在这种探测器中,人们将搜索古代矿物质中的DM-Nucleus相互作用留下的持续损害特征。 初始敏感性投影表明,古检测器可以探测大部分剩余的弱相互作用的大规模粒子(WIMP)参数空间。 在本文中,我们通过执行背景和DM诱导信号光谱的全光谱分析来提高先前用于估计灵敏度的Cut-Andcount方法。 我们考虑了两个方案,用于背景谱上的系统错误:(i)仅在归一化上的系统错误,以及(ii)背景形状的系统误差。 我们发现预计的敏感性对不完善背景知识相当强大。 最后,我们研究了真正的WIMP模型的参数在WIMP发现的假设案例中可以重建。

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