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arXiv 2503.04484hep-phastro-ph.COgr-qc
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利用信号相关性增强对超轻玻色子暗物质的灵敏度

Enhancing the sensitivity to ultralight bosonic dark matter using signal correlations

Soichiro Morisaki, Jun'ya Kume, Takumi Fujimori, Yuta Michimura

AI总结:

针对超轻玻色子暗物质信号相干时间长导致探测分段困难的问题,提出一种相干信噪比探测统计量,能从任意时长分段提取信号,实现独立于分段时长的灵敏度并超越传统非相干求和法。

摘要:

近年来,人们提出并开展了大量实验来搜寻超轻玻色子暗物质(ULBDM)。此类实验中来自 ULBDM 的信号具有极窄的频谱宽度。一种接近最优的探测策略是根据信号相干时间对数据进行划分,并跨这些分段累加功率。然而,信号相干时间可能超过一天,由于探测器的不稳定性,构建如此持续时间的连续分段颇具挑战。在本研究中,我们提出了一种新颖的探测统计量,能够从任意持续时间的分段中相干地提取 ULBDM 信号。我们的探测统计量被称为相干信噪比(coherent SNR),它是数据相关性的加权和,其权重由预期的信号相关性确定。我们通过解析论证和数值实验证明,相干信噪比实现了独立于分段持续时间的灵敏度,并且超越了传统非相干求和方法的性能。

英文摘要:

In recent years, numerous experiments have been proposed and conducted to search for ultralight bosonic dark matter (ULBDM). Signals from ULBDM in such experiments are characterized by extremely narrow spectral widths. A near-optimal detection strategy is to divide the data based on the signal coherence time and sum the power across these segments. However, the signal coherence time can extend beyond a day, making it challenging to construct contiguous segments of such a duration due to detector instabilities. In this work, we present a novel detection statistic that can coherently extract ULBDM signals from segments of arbitrary durations. Our detection statistic, which we refer to as coherent SNR, is a weighed sum of data correlations, whose weights are determined by the expected signal correlations. We demonstrate that coherent SNR achieves sensitivity independent of segment duration and surpasses the performance of the conventional incoherent-sum approach, through analytical arguments and numerical experiments.

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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