大型强子对撞机
探测器
CMOS芯片
光电子学
炸薯条
核电子学
物理
二极管
电气工程
材料科学
光学
工程类
核物理学
作者
Y. Değerli,F. Guilloux,T. Hemperek,Jean-Pierre Meyer,Philippe Schwemling
标识
DOI:10.1109/tns.2023.3325947
摘要
<p>MiniCACTUS is a monolithic sensor prototype optimized for timing measurement of charged particles. It has been designed in a standard 150 nm CMOS process without dedicated amplification layer. It is intended as a demonstrator chip for future large-scale timing detectors, like upgrades of timing detectors at LHC, or future high-energy physics detector projects. The sensor features an active array of <span><span><span><span>2</span><span>×</span><span>4</span></span></span></span> diodes, analog and digital front-ends (FEs), a slow control interface, and bias circuitry programmable through internal DACs. The sensing element is a deep n-well/p-substrate diode. Thanks to the optimized guard-rings surrounding the whole chip, it is possible to apply safely more than −450 V on the high-resistivity substrate allowing fast charge collection. The baseline pixel dimensions are <span><span><span><span>1.0</span><span>×</span><span>1.0</span></span></span></span> mm and <span><span><span><span>0.5</span><span>×</span><span>1.0</span></span></span></span> mm. The analog FEs and the discriminators for each pixel are implemented outside the pixel, at the column level. The power consumption is approximately 300 mW/cm2, which is compatible with cooling infrastructure available at LHC experiments, and making integration of this concept viable in future high-energy physics experiments. After fabrication, the sensors have been thinned to 100, 200, and <span><span><span><span>300</span><span> </span><span>μ</span><span>m</span></span></span></span> total thickness and then postprocessed for backside biasing. The time resolution of several sensors with different thicknesses has been measured in three testbeam campaigns using high-energy muons minimum ionizing particles (MIPs) at CERN SPS in 2021 and 2022. A resolution of 65.3 ps has been measured with ON-chip FE and discriminator. This article will focus on the results of these testbeam campaigns.</p>
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