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Study of Silicon Photomultiplier external cross-talk

硅光电倍增管 物理 光子学 光学 APDS 探测器 光子 光电倍增管 光电子学 光电探测器 暗电流 雪崩光电二极管 闪烁体
作者
Yiyi Guan,Н. Анфимов,G. F. Cao,Z. Xie,Qian Dai,Dmitry Fedoseev,K. I. Kuznetsova,A. Rybnikov,A. Selyunin,A. Sotnikov
出处
期刊:Journal of Instrumentation [IOP Publishing]
卷期号:19 (06): P06024-P06024 被引量:2
标识
DOI:10.1088/1748-0221/19/06/p06024
摘要

Abstract ptical cross-talk is a critical characteristic of Silicon Photomultipliers (SiPMs) and represents a significant source of the excess noise factor, exerting a substantial influence on detector performance. During the avalanche process of SiPMs, photons generated can give rise to both internal cross-talk within the same SiPM and external cross-talk when photons escape from one SiPM and trigger avalanches in others. In scenarios where SiPMs are arranged in a compact configuration and positioned facing each other, the external cross-talk could even dominate the cross-talk phenomenon. This paper investigates two distinct methods for measuring external cross-talk: the counting method, which involves operating SiPMs face-to-face and measuring their coincident signals, and the reflection method, which employs a highly reflective film attached to the surface of the SiPMs. External cross-talk measurements have been conducted on several types of SiPMs, including Vacuum Ultra-Violet (VUV) sensitive SiPMs that Fondazione Bruno Kessler (FBK) and Hamamatsu Photonics Inc (HPK) produced for nEXO as well as visible-sensitive SiPMs provided by FBK, HPK and SensL Technologies Ltd (SenSL) for JUNO-TAO. The results reveal a significant presence of external cross-talk in all tested SiPMs, with HPK's SiPMs exhibiting a dominant external cross-talk component due to the implementation of optical trenches that effectively suppress internal cross-talk. Furthermore, we found that the number of fired SPADs resulting from internal cross-talk can be described by combining Geometric and Borel models for all tested SiPMs, while the external cross-talk can be predicted using a pure Borel model. These distinct probability distributions lead to different excess noise factors, thereby impacting the detector performance in varying ways.
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