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arXiv 2402.03073physics.ins-detcond-mat.supr-conhep-ex
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用于稀有事件搜寻的光学超导转变边传感器的暗计数

Dark counts in optical superconducting transition-edge sensors for rare-event searches

Laura Manenti, Carlo Pepe, Isaac Sarnoff, Tengiz Ibrayev, Panagiotis Oikonomou, Artem Knyazev, Eugenio Monticone, Hobey Garrone, Fiona Alder, Osama Fawwaz, Alex… 展开作者

Laura Manenti, Carlo Pepe, Isaac Sarnoff, Tengiz Ibrayev, Panagiotis Oikonomou, Artem Knyazev, Eugenio Monticone, Hobey Garrone, Fiona Alder, Osama Fawwaz, Alexander J. Millar, Knut Dundas Morå, Hamad Shams, Francesco Arneodo, Mauro Rajteri

AI总结:

本文针对光学超导转变边传感器,全面表征本底并自动分类事件,首次验证高能事件来源,最终在0.8-3.2 eV能区实现3.6×10^-4 Hz的创纪录低类光子暗计数率,服务于暗物质暗光子搜寻。

摘要:

超导转变边传感器(TESs)是一类量子传感器,以其高单光子探测效率和低本底而闻名。这使其成为搜寻稀有事件的粒子物理实验的理想选择。在本工作中,我们对光学TES中的本底进行了全面表征,区分了三类事件:电噪声事件、高能事件和类光子事件。我们引入了计算方法来自动化事件分类。我们首次通过实验验证并模拟了高能事件的来源。我们还分离出类光子事件,即在搜寻暗物质暗光子的介电晕光镜中预期的信号,并在0.8-3.2 eV能量范围内实现了创纪录的低类光子暗计数率,为3.6 × 10^-4 Hz。

英文摘要:

Superconducting transition-edge sensors (TESs) are a type of quantum sensor known for its high single-photon detection efficiency and low background. This makes them ideal for particle physics experiments searching for rare events. In this work, we present a comprehensive characterization of the background in optical TESs, distinguishing three types of events: electrical-noise, high-energy, and photonlike events. We introduce computational methods to automate the classification of events. For the first time, we experimentally verify and simulate the source of the high-energy events. We also isolate the photonlike events, the expected signal in dielectric haloscopes searching for dark matter dark photons, and achieve a record-low photonlike dark-count rate of $3.6 \times 10^{-4}$ Hz in the 0.8-3.2 eV energy range.

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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