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arXiv 2403.01259physics.ins-dethep-ex
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暗物质探测用声子晶体探测器中探测器响应效应的改进建模

Improved Modelling of Detector Response Effects in Phonon-based Crystal Detectors used for Dark Matter Searches

M. J. Wilson, A. Zaytsev, B. von Krosigk, I. Alkhatib, M. Buchanan, R. Chen, M. D. Diamond, E. Figueroa-Feliciano, S. A. S. Harms, Z. Hong, K. T. Kennard, N. A.… 展开作者

M. J. Wilson, A. Zaytsev, B. von Krosigk, I. Alkhatib, M. Buchanan, R. Chen, M. D. Diamond, E. Figueroa-Feliciano, S. A. S. Harms, Z. Hong, K. T. Kennard, N. A. Kurinsky, R. Mahapatra, N. Mirabolfathi, V. Novati, M. Platt, R. Ren, A. Sattari, B. Schmidt, Y. Wang, S. Zatschler, E. Zhang, A. Zuniga

AI总结:

针对暗物质探测用声子晶体探测器的响应效应问题,提出新解析模型,可区分不同事件源的响应差异,提取了SuperCDMS HVeV探测器参数,有助于提升暗物质探测灵敏度。

摘要:

多种暗物质探测实验采用在低温下运行的声子基晶体探测器。其中部分探测器,包括SuperCDMS合作组使用的某些硅探测器,在探测器两端施加电压偏置时可实现单电荷灵敏度。这类探测器测得的总声子能量与相互作用产生的电子-空穴对数量成正比。然而,晶体杂质和表面效应会导致传播中的电荷要么被捕获在晶体内部,要么产生额外的未配对电荷,最终产生非量子化的测量能量。本文提出了一种描述声子基晶体探测器中上述探测器响应效应的新解析模型。该模型相较先前模型的改进之处在于,它阐明了探测器响应及由此得到的测量能谱如何因事件来源不同而产生差异。我们利用该模型提取了SuperCDMS HVeV探测器的响应参数,并说明这种稳健的建模方法如何帮助从统计层面区分事件来源,从而提升暗物质探测实验的灵敏度。

英文摘要:

Various dark matter search experiments employ phonon-based crystal detectors operated at cryogenic temperatures. Some of these detectors, including certain silicon detectors used by the SuperCDMS Collaboration, are able to achieve single-charge sensitivity when a voltage bias is applied across the detector. The total amount of phonon energy measured by such a detector is proportional to the number of electron-hole pairs created by the interaction. However, crystal impurities and surface effects can cause propagating charges to either become trapped inside the crystal or create additional unpaired charges, producing non-quantized measured energy as a result. A new analytical model for describing these detector response effects in phonon-based crystal detectors is presented. This model improves upon previous versions by demonstrating how the detector response, and thus the measured energy spectrum, is expected to differ depending on the source of events. We use this model to extract detector response parameters for SuperCDMS HVeV detectors, and illustrate how this robust modelling can help statistically discriminate between sources of events in order to improve the sensitivity of dark matter search 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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