单晶活性像素传感器高级性能预测的穷尽式仿真流
仪器与探测器
2026-05-14 v1 高能物理 - 实验
摘要
单晶活性像素传感器 (MAPS) 的开发推动了检测性能在各个方面的提升，尤其是关于时间方面的精度，现在被认为是纳米秒级。这种演变要求同步升级仿真工具。我们开发了一个覆盖从敏感体积中的信号创建到像素数字逻辑输出（执行时间到达和时间过阈值测量）的仿真流程。该方法在传统使用TCAD - Allpix Squared组合方的基础上增加了几个新特性，其中包括：从布局中集成像素井，以精确描述像素关键特性，如漏电流和穿透电流；以及将蒙特卡罗仿真 (Allpix Squared) 与高精度电气仿真 (SPICE) 进行耦合。前者 (Allpix Squared) 用于精确描述收集电极处诱导电流，后者 (SPICE) 用于保证使用真实信号事件的前端电子器件的高精度仿真。还对辐照进行建模，既从电荷传播侧 (电荷捕获) 也从前端响应侧 (高输入信号放电) 。我们将此方法应用于Belle II 顶点探测器升级期间开发的MAPS。在本论文中，我们详细描述了该穷尽式仿真流程的关键特性，呈现了与TJ-Monopix2测量结果的比较结果，并讨论了该方法在现代MAPS开发中的价值。
引用
@article{arxiv.2605.13760,
title = {Application of exhaustive simulation flow for advanced performance prediction of monolithic active pixel sensors},
author = {E. Sacchetti and M. Babeluk and T. Bergauer and M. Friedl and C. Irmler and B. Pilsl and R. Russo and C. Schwanda and L. Gaioni and V. Re and E. Riceputi and G. Traversi and S. Giroletti and L. Ratti and G. F. Benfratello and S. Bettarini and F. Bosi and G. Casarosa and L. Corona and F. Forti and A. Gabrielli and M. Massa and L. Massaccesi and M. Minuti and A. Moggi and S. Mondal and G. Rizzo and M. Rovini and A. Taffara and M. Barbero and P. Barrillon and R. Boudagga and P. Breugnon and D. Fougeron and P. Pangaud and J. Serrano and V. Vobbilisetti and D. Xu and D. Auguste and J. Bonis and Y. Peinaud and M. Winter and J. Baudot and G. Bertolone and A. Dorokhov and G. Dujany and L. Federici and C. Finck and A. Himmi and C. Hu-Guo and A. Kumar and M. Maushart and F. Morel and H. Pham and I. Ripp-Baudot and R. Sefri and P. Stavroulakis and I. Valin and F. Bernlochner and C. Bespin and J. Dingfelder and T. Kishishita and H. Kruger and L. Schall and M. Vogt and M. Karagounis and Y. Buch and A. Frey and B. Schwenker and M. Schwickardi and K. Hara and D. Jeans and K. R. Nakamura and Y. Okazaki and T. Higuchi and Y. Onuki and S. Wang and C. Lacasta and C. Marinas and J. Mazorra de Cos and L. Molina-Bueno and A. Bevan and M. Bona and D. Howgill and W. Song and J. Gong and X. Gao and A. Fernandez Prieto and A. Gallas Torreira},
journal= {arXiv preprint arXiv:2605.13760},
year = {2026}
}