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CMOS MAPS with pixel level sparsification and time stamping capabilities for applications at the ILC

机译:具有像素级稀疏性和时间戳功能的CMOS MAPS,适用于ILC上的应用

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This paper is intended to discuss the features of a novel kind of monolithic active pixel sensors (MAPS) in deep submicron CMOS technology (130nm minimum feature size) for use in charged particle trackers and vertex detectors. As compared to conventional MAPS with 3-transistor readout scheme, the design approach proposed here, where a deep N-well (DNW) is used as the collecting electrode, lends itself to pixel-level sparsified processing and is expected to provide the ability to manage the large data flow of information anticipated for future, high luminosity colliders. Lately, the applicability of the DNW-MAPS concept to the design of the vertex detector for future high luminosity colliders, like the International Linear Collider (ILC), has been investigated. This paper will discuss the design and performance of a recently submitted DNW monolithic sensor, the SDRO (Sparsified Digital Readout) chip, including different test structures, where both analog (charge amplification and threshold discrimination) and digital (sparsification, time stamping) functions have been integrated inside the elementary sensor, as large as 25 μm × 25 μm.
机译:本文旨在讨论采用深亚微米CMOS技术(最小特征尺寸为130nm)的新型单片有源像素传感器(MAPS)的特性,该传感器可用于带电粒子跟踪器和顶点检测器。与具有3晶体管读出方案的常规MAPS相比,此处提出的设计方法将深N阱(DNW)用作收集电极,从而适合像素级的稀疏处理,并有望提供以下功能:管理预期用于未来高亮度对撞机的海量信息流。最近,已经研究了DNW-MAPS概念在未来的高亮度对撞机(如国际线性对撞机(ILC))的顶点检测器设计中的适用性。本文将讨论最近提交的DNW单片传感器SDRO(稀疏数字读数)芯片的设计和性能,包括不同的测试结构,其中模拟(电荷放大和阈值区分)和数字(稀疏,时间戳)功能均具有集成在基本传感器内部,最大尺寸为25μm×25μm。

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