论文标题
通过了解其非线性行为来扩展sipm的动态范围
Extending the dynamic range of SiPMs by understanding their non-linear behavior
论文作者
论文摘要
鉴于在高度非线性响应方面重建了入射光子通量的重建,该出版物的重点是对硅光电培养基(SIPM)的研究。 SIPMS是基于半导体的光检测器,该探测器由吉格模式下操作的雪崩光电二极管编译。它们在机械上和光学上都非常健壮,并且具有很高的增益和光子检测效率。这些功能使它们成为广泛应用中的理想光发音器,如今,它们在许多实验中替换了常规的光电倍增管。 sipm的细胞结构一次只能检测一个光子,从而导致非线性动态范围限制了可能的应用。 我们研究了基于等效电子电路的常用SIPM模型,该模型允许在许多情况下模拟SIPM响应。连续两次光脉冲的专用测量证明了其适用性。通过将模型调整为测量值,可以确定SIPM的固有参数,例如淬火电阻或二极管电容。使用获得的固有参数,该模型正确地描述了SIPM细胞的充电行为。 基于该模型,开发了一种算法来纠正SIPMS动态范围的非线性。由于该模型包含有关SIPM细胞充电的完整信息,因此可以校正导致非线性的效果。该算法利用测得的电压信号中的时间信息,并重建入射光子的数量。它表现出了出色的性能,并允许将线性偏差仅10%的偏差增加至少两个数量级,从而增加了动态范围。
This publication focuses on the study of silicon photomultipliers (SiPMs) in view of a reconstruction of the incident photon flux in the regime of highly non-linear response. SiPMs are semiconductor based light detectors compiled of avalanche photodiodes operated in Geiger mode. They are both mechanically and optically very robust and have a high gain and photon detection efficiency. These features make them ideal photonsensors in a wide range of applications and they are nowadays replacing conventional photomultiplier tubes in many experiments. The cellular structure of SiPMs where each cell can only detect one photon at a time results in a non-linear dynamic range limiting the possible applications. We studied a commonly used SiPM model based on an equivalent electronic circuit that allows the simulation of the SiPM response in many situations. Dedicated measurements with two consecutive light pulses prove its applicability. By adapting the model to the measurements, intrinsic parameters of the SiPM such as quenching resistance or diode capacitance can be determined. With the obtained intrinsic parameters, the model correctly describes the recharge behavior of the SiPM cells. Based on the model, an algorithm was developed to correct the non-linearity of the dynamic range of SiPMs. As the model contains full information on the recharge of the SiPM cells, the effects leading to the non-linearity can be corrected for. The algorithm exploits the time information in the measured voltage signal and reconstructs the number of incident photons. It has shown an excellent performance and allows to increase the dynamic range with only 10% deviation from linearity by at least two orders of magnitude.