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Zero suppression logic of the ALICE muon forward tracker pixel chip prototype PIXAM and associated readout electronics development

机译:ALICE muon前向跟踪器像素芯片原型PIXAM的零抑制逻辑以及相关的读出电子设备开发

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摘要

In the framework of the ALICE experiment upgrade at HL-LHC, a new forward tracking detector, the Muon Forward Tracker (MFT), is foreseen to overcome the intrinsic limitations of the present Muon Spectrometer and will perform new measurements of general interest for the whole ALICE physics. To fulfill the new detector requirements, CMOS Monolithic Active Pixel Sensors (MAPS) provide an attractive trade-off between readout speed, spatial resolution, radiation hardness, granularity, power consumption and material budget. This technology has been chosen to equip the Muon Forward Tracker and also the vertex detector: the Inner Tracking System (ITS). Since few years, an intensive R&D; program has been performed on the design of MAPS in the 0.18 μ m CMOS Image Sensor (CIS) process. In order to avoid pile up effects in the experiment, the classical rolling shutter readout system of MAPS has been improved to overcome the readout speed limitation. A zero suppression algorithm, based on a 3 by 3 cluster finding (position and data), has been chosen for the MFT. This algorithm allows adequate data compression for the sensor. This paper presents the large size prototype PIXAM, which represents 1/3 of the final chip, and will focus specially on the zero suppression block architecture. This chip is designed and under fabrication in the 0.18 μ m CIS process. Finally, the readout electronics principle to send out the compressed data flow is also presented taking into account the cluster occupancy per MFT plane for a single central Pb-Pb collision.
机译:在HL-LHC的ALICE实验升级的框架内,预计将使用新的前向跟踪检测器Muon前向跟踪器(MFT)来克服当前Muon光谱仪的固有局限性,并将对整个仪器进行普遍关注的新测量爱丽丝物理学。为了满足新的探测器要求,CMOS单片有源像素传感器(MAPS)在读出速度,空间分辨率,辐射硬度,粒度,功耗和材料预算之间提供了一个有吸引力的折衷方案。选择了该技术来装备Muon前向跟踪器以及顶点检测器:内部跟踪系统(ITS)。几年以来,密集的研发;已在0.18μmCMOS图像传感器(CIS)工艺中对MAPS的设计执行了程序。为了避免实验中的堆积效应,对MAPS的经典卷帘读出系统进行了改进,以克服读出速度的限制。为MFT选择了一种基于3 x 3群集发现(位置和数据)的零抑制算法。该算法允许对传感器进行足够的数据压缩。本文介绍了大尺寸原型PIXAM,它代表了最终芯片的1/3,并将特别关注于零抑制模块架构。该芯片在0.18μmCIS工艺中进行设计和制造。最后,还考虑了单个中央Pb-Pb碰撞时每个MFT平面的群集占用情况,提出了发送压缩数据流的读出电子原理。

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