There are several networks of precision quantum sensors in existence, including networks of atomic clocks, magnetometers, and gravitational wave detectors. These networks can be re-purposed for searches of exotic physics, such as direct dark matter searches. Here we explore a detection strategy for macroscopic dark matter objects with such networks using the matched-filter technique. Such “clumpy” dark matter objects would register as transients sweeping through the network at galactic velocities. As a specific example, we consider a network of atomic clocks aboard the Global Positioning System (GPS) satellites. We apply the matched-filter technique to simulated GPS atomic clock data and study its utility and performance. The analysis and the developed methodology have a discovery reach up to three orders of magnitude above the previous GPS results and have a wide applicability to other networks of quantum sensors.

中文翻译：

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将匹配滤波器技术应用于量子传感器网络的暗物质瞬变搜索

现有几种精密量子传感器网络，包括原子钟，磁力计和重力波检测器网络。可以将这些网络重新用于奇异物理学的搜索，例如直接暗物质搜索。在这里，我们使用匹配滤波器技术探索了具有此类网络的宏观暗物质目标的检测策略。这种“笨拙”的暗物质物体会记录为以银河速度穿越网络的瞬变。作为一个具体示例，我们考虑了全球定位系统（GPS）卫星上的原子钟网络。我们将匹配滤波器技术应用于模拟GPS原子钟数据，并研究其实用性和性能。