Constraining domain wall dark matter with a network of superconducting gravimeters and LIGO
Constraining domain wall dark matter with a network of superconducting gravimeters and LIGO
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DOI：
10.1140/epjd/e2020-100632-0
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发表时间：
2019-12
期刊：
影响因子：
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通讯作者：
R. McNally;T. Zelevinsky
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文献类型：
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作者：
R. McNally;T. Zelevinsky
有强有力的天体物理学证据表明，暗物质（DM）约占宇宙质量的27%。然而，除了引力相互作用之外，人们对它的性质以及它如何与标准模型联系起来知之甚少。已经提出了多个框架，低能量下的精确测量已被证明有助于限制许多这些模型的参数空间。一组模型预测DM是一个标量场，它“聚集”成局部高密度的区域，而不是均匀分布在整个星系中。如果这个DM场耦合到标准模型场，它与物质的相互作用可以被认为是改变基本常数的有效值。基本常数随时间变化（或当地球通过不同密度的区域时其空间变化）的一个一般结果是存在异常的、成分依赖的加速度。在这里，我们展示了如何使用超导加速度计来测量这种异常加速度，并证明了来自国际地球动力学和地球潮汐服务（IGETS）网络的> 20年的档案数据可以用来为这些模型设定新的界限。此外，我们展示了LIGO和其他引力波探测器如何在参数空间的窄范围内用作灵敏的探测器。虽然这两种技术仅限于以空间梯度为特征的DM模型，但它们补充了已经用于直接探测和识别暗物质的精密测量设备网络。图形摘要
AbstractThere is strong astrophysical evidence that dark matter (DM) makes up some 27% of all mass in the universe. Yet, beyond gravitational interactions, little is known about its properties or how it may connect to the Standard Model. Multiple frameworks have been proposed, and precision measurements at low energy have proven useful to help restrict the parameter space for many of these models. One set of models predicts that DM is a scalar field that “clumps” into regions of high local density, rather than being uniformly distributed throughout the galaxy. If this DM field couples to a Standard Model field, its interaction with matter can be thought of as changing the effective values of fundamental constants. One generic consequence of time variation of fundamental constants (or their spatial variation as the Earth passes through regions of varying density) is the presence of an anomalous, composition-dependent acceleration. Here we show how this anomalous acceleration can be measured using superconducting accelerometers, and demonstrate that > 20 years of archival data from the International Geodynamics and Earth Tide Services (IGETS) network can be utilized to set new bounds on these models. Furthermore, we show how LIGO and other gravitational wave detectors can be used as exquisitely sensitive probes for narrow ranges of the parameter space. While limited to DM models that feature spatial gradients, these two techniques complement the networks of precision measurement devices already in use for direct detection and identification of dark matter.Graphical abstract