Ahmad Satya Wicaksana, Esa Prakasa, A. D. Mauro, Siswo Wardoyo
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Markers engraved at the chip corners have been detected using the Hough transform, Canny edge detection, and template matching techniques. The distances between two markers are measured to determine the accuracy of the pixel sensor alignment before and after assembly. The proposed methods exhibit an accuracy exceeding 99% and demonstrate high speed analysis. The average processing times for detecting the circle and cross markers are 105.9 ms/image and 113.8 ms/image, respectively. The sensor alignment of the detector must be adjusted to a high precision standard. However, recent studies have shown deviations of up to 5um above the desired value in the measured sensor position. Such deviations do not represent a major issue, nevertheless it is important to measure them in order to speed-up and make more accurate the recursive track-based alignment procedure used to reconstruct the position of each pixel sensor in the tracking detector. The proposed method offers a promising solution to deliver precise and rapid measurements for a large number of examined objects.","PeriodicalId":510602,"journal":{"name":"Measurement Science and Technology","volume":"19 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measurement of Si Pixel Sensor Alignment for the ALICE ITS Detector\",\"authors\":\"Ahmad Satya Wicaksana, Esa Prakasa, A. D. Mauro, Siswo Wardoyo\",\"doi\":\"10.1088/1361-6501/ad4fae\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The ALICE experiment is one of the four experiments at the Large Hadron Collider (LHC) designed to investigate the status of matter under very high energy densities produced during heavy-ion collisions. The ALICE Inner Tracking System (ITS) consists of seven concentric cylindrical layers of monolithic silicon pixel sensors known as ALICE Pixel Detector (ALPIDE). The sensors are used to reconstruct the paths of charged particles generated in the collisions. The sensor alignment of the detector must be adjusted to a high precision standard. The adjustment objective is to obtain a detector that can undertake high-resolution measurements. This paper introduces a method for measuring the reference markers utilized in sensor alignment determination. Markers engraved at the chip corners have been detected using the Hough transform, Canny edge detection, and template matching techniques. The distances between two markers are measured to determine the accuracy of the pixel sensor alignment before and after assembly. The proposed methods exhibit an accuracy exceeding 99% and demonstrate high speed analysis. The average processing times for detecting the circle and cross markers are 105.9 ms/image and 113.8 ms/image, respectively. The sensor alignment of the detector must be adjusted to a high precision standard. However, recent studies have shown deviations of up to 5um above the desired value in the measured sensor position. Such deviations do not represent a major issue, nevertheless it is important to measure them in order to speed-up and make more accurate the recursive track-based alignment procedure used to reconstruct the position of each pixel sensor in the tracking detector. The proposed method offers a promising solution to deliver precise and rapid measurements for a large number of examined objects.\",\"PeriodicalId\":510602,\"journal\":{\"name\":\"Measurement Science and Technology\",\"volume\":\"19 11\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6501/ad4fae\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1361-6501/ad4fae","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
ALICE 实验是大型强子对撞机(LHC)上的四个实验之一,旨在研究重离子对撞过程中产生的极高能量密度下的物质状态。ALICE 内部跟踪系统(ITS)由七个同心圆柱层的单片硅像素传感器组成,称为 ALICE 像素探测器(ALPIDE)。传感器用于重建碰撞中产生的带电粒子的路径。探测器的传感器对准必须按照高精度标准进行调整。调整的目的是获得一个能够进行高分辨率测量的探测器。本文介绍了一种测量用于确定传感器对准的参考标记的方法。使用 Hough 变换、Canny 边缘检测和模板匹配技术检测刻在芯片边角的标记。通过测量两个标记之间的距离,可以确定组装前后像素传感器对准的准确性。所提出的方法准确率超过 99%,并能进行高速分析。检测圆形和十字标记的平均处理时间分别为 105.9 毫秒/图像和 113.8 毫秒/图像。检测器的传感器对准必须按照高精度标准进行调整。然而,最近的研究表明,测量传感器位置的偏差最多可超出预期值 5 微米。这种偏差并不是一个大问题,但为了加快基于轨迹的递归对准程序的速度并使其更加精确,以重建跟踪检测器中每个像素传感器的位置,对这些偏差进行测量是非常重要的。所提出的方法为精确、快速地测量大量被测物体提供了一种可行的解决方案。
Measurement of Si Pixel Sensor Alignment for the ALICE ITS Detector
The ALICE experiment is one of the four experiments at the Large Hadron Collider (LHC) designed to investigate the status of matter under very high energy densities produced during heavy-ion collisions. The ALICE Inner Tracking System (ITS) consists of seven concentric cylindrical layers of monolithic silicon pixel sensors known as ALICE Pixel Detector (ALPIDE). The sensors are used to reconstruct the paths of charged particles generated in the collisions. The sensor alignment of the detector must be adjusted to a high precision standard. The adjustment objective is to obtain a detector that can undertake high-resolution measurements. This paper introduces a method for measuring the reference markers utilized in sensor alignment determination. Markers engraved at the chip corners have been detected using the Hough transform, Canny edge detection, and template matching techniques. The distances between two markers are measured to determine the accuracy of the pixel sensor alignment before and after assembly. The proposed methods exhibit an accuracy exceeding 99% and demonstrate high speed analysis. The average processing times for detecting the circle and cross markers are 105.9 ms/image and 113.8 ms/image, respectively. The sensor alignment of the detector must be adjusted to a high precision standard. However, recent studies have shown deviations of up to 5um above the desired value in the measured sensor position. Such deviations do not represent a major issue, nevertheless it is important to measure them in order to speed-up and make more accurate the recursive track-based alignment procedure used to reconstruct the position of each pixel sensor in the tracking detector. The proposed method offers a promising solution to deliver precise and rapid measurements for a large number of examined objects.