论文标题

从梁测试数据和有限的TCAD模拟的地图检测器内部电场派生的推导

A derivation of the electric field inside MAPS detectors from beam-test data and limited TCAD simulations

论文作者

Santra, Arka, Hod, Noam Tal

论文摘要

在高能物理实验,医疗应用,太空任务和其他地方,固体半导体传感器用作检测器。对这些传感器基本细胞内部电场内电场的最小知识对于它们的性能理解非常重要。该场控制电荷传播过程,并最终确定电池电子信号的大小和质量。因此,在不同分析中,这些传感器作为检测器的模拟强烈依赖于现场知识。对于应用于电池的一定电压,该场取决于设备生长和制造的细节。有关这些信息的信息通常受到商业保护,或者很难在最先进的技术辅助设计(TCAD)软件中编码。在这项工作中,我们表明,通过采用自上而下的方法,结合公共束测试数据和非常有限的公共TCAD知识,我们能够有效地近似一个重要且广泛使用的示例的像素单元中的3D电场功能,即高贵的传感器,用于模拟电荷传播过程。尽管在全球范围内使用了广泛的使用,但阿尔卑斯山领域仍无法为社区提供。我们提供有效的现场功能,可以充分描述传感器的行为,而无需重建有关设备或处理背后的细节的更多详细信息。我们对借助AllPix $^2 $软件的帮助以及如何从相同的基础开始对其他设备执行类似工作的过程来评论有效的现场功能。

Solid semiconductor sensors are used as detectors in high-energy physics experiments, in medical applications, in space missions and elsewhere. Minimal knowledge of the electric field inside the elementary cells of these sensors is highly important for their performance understanding. The field governs the charge propagation processes and ultimately determines the size and quality of the electronic signal of the cell. Hence, the simulation of these sensors as detectors in different analyses relies strongly on the field knowledge. For a certain voltage applied to the cell, the field depends on the specifics of the device's growth and fabrication. The information about these is often commercially protected or otherwise very difficult to encode in state-of-the-art technology computer-aided-design (TCAD) software. In this work, we show that by taking the top-down approach, combining public beam-test data and a very limited public TCAD knowledge, we are able to effectively approximate the 3D electric field function in the pixel cell of one important and widely used example, namely the ALPIDE sensor, for simulating the charge propagation processes. Despite its broad usage worldwide, the ALPIDE field is not available to the community. We provide an effective field function, that adequately describes the sensor behaviour without trying to reconstruct further details about the device or the details behind its processing. We comment on the process by which the effective field function is derived with the help of the Allpix$^2$ software, and on how similar work can be performed for other devices, starting from the same grounds.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源