arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2508.16005physics.ins-det
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在紫外敏感硅光电倍增管上展示宽带光子检测效率模型

Demonstrating a broadband Photon Detection Efficiency model on VUV sensitive Silicon Photomultipliers

Queen’s University(女王大学);TRIUMF(特利尔姆实验室);Princeton University(普林斯顿大学);Simon Fraser University(西蒙菲莎大学)

Austin de St Croix, Harry Lewis, Kurtis Raymond, Fabrice Retière, Maia Henriksson-Ward, Giacomo Gallina, Nicholas Morrison, Aileen Zhang

AI总结:

本文提出一个描述硅光电倍增管光子检测效率的分析模型,用于设备特性分析、效率外推、模拟和设计优化,通过实验数据验证模型的预测能力。

摘要:

我们提出了一种灵活的分析模型,用于描述P-on-N硅光电倍增管的光子检测效率(PDE),可能应用于设备特性分析、从有限数据中外推PDE、模拟和设计优化。使用设备特定参数,将SiPM的PDE建模为波长、入射角、电压和有限温度范围的函数。通过将PDE分解为传输和内部效率,可以预测在液态 noble 和其他密集介质中的性能。我们测量了两个紫外敏感SiPM在163K下从350到830nm的绝对PDE,以及相对PDE随角度的变化测量。我们成功地将模型拟合到数据上,与文献进行比较,并通过外推PDE到新波长和在液氙和氩中操作来展示模型的预测能力,这对估计性能和未来大规模实验中的外部串扰影响很有帮助。最后,我们使用该模型研究了在天体粒子物理和量子计算中优化效率的应用。

英文摘要:

We present a versatile analytic model describing Photon Detection Efficiency (PDE) for P-on-N silicon photomultipliers, with possible applications for device characterization, PDE extrapolation from limited data, simulation and design optimization. Using device specific parameters, SiPM PDE is modeled as a function of wavelength, angle of incidence, voltage, and limited temperature range. By factoring the PDE into transmission and internal efficiency, the performance in liquid nobles and other dense media can be predicted. We present the measurement of the absolute PDE from 350 to 830 nm at 163 K for two VUV sensitive SiPMs: a Hamamatsu VUV4 and Fondazione Bruno Kessler VUV-HD Technology. Additional measurements of relative PDE versus angle are also included. We successfully fit the model to the data, compare with literature and show the model's predictive power by extrapolating PDE to new wavelengths and operation in liquid xenon and argon, which is useful for estimating performance and the impact of external cross-talk in future large-scale experiments. Lastly we use the model to investigate optimizing efficiency for specific applications in astroparticle physics and quantum computing.

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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