{"title":"升级后的ALICE内部跟踪系统的校准","authors":"Andrea Sofia Triolo","doi":"10.22323/1.420.0078","DOIUrl":null,"url":null,"abstract":"The ALICE Experiment has replaced its Inner Tracking System with a 7-layer pixel-only tracker made out of more than 24000 monolithic active pixel sensor chips, in order to fulfill the requirements of the physics program of the LHC Run 3. The upgraded Inner Tracking System (ITS2) has been installed in the ALICE experiment during the LHC long shutdown 2 and has started to take data with the beginning of Run 3 in July 2022, with proton-proton collisions at $\\sqrt{s}$ = 13.6 TeV. With its 12.5 billion pixels it is the largest pixel detector installed in a high energy physics experiment to date. To guarantee stable operation and a consistently high data quality, a regular calibration of the detector has to be performed. The main part of the calibration program consists of a tuning and subsequent measurement of the pixel thresholds and a determination of the noisy channels. In particular the complexity of the threshold scan depends linearly on the number of pixels, which is why the threshold scan of the ITS2 is an unprecedented challenge. This work describes the architecture of the calibration framework, which has been developed using the detector control system of the ITS2 and the ALICE data processing layer. Results of first threshold and noise calibrations done in situ are shown as well.","PeriodicalId":275608,"journal":{"name":"Proceedings of 10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging — PoS(Pixel2022)","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calibration of the Upgraded ALICE Inner Tracking System\",\"authors\":\"Andrea Sofia Triolo\",\"doi\":\"10.22323/1.420.0078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ALICE Experiment has replaced its Inner Tracking System with a 7-layer pixel-only tracker made out of more than 24000 monolithic active pixel sensor chips, in order to fulfill the requirements of the physics program of the LHC Run 3. The upgraded Inner Tracking System (ITS2) has been installed in the ALICE experiment during the LHC long shutdown 2 and has started to take data with the beginning of Run 3 in July 2022, with proton-proton collisions at $\\\\sqrt{s}$ = 13.6 TeV. With its 12.5 billion pixels it is the largest pixel detector installed in a high energy physics experiment to date. To guarantee stable operation and a consistently high data quality, a regular calibration of the detector has to be performed. The main part of the calibration program consists of a tuning and subsequent measurement of the pixel thresholds and a determination of the noisy channels. In particular the complexity of the threshold scan depends linearly on the number of pixels, which is why the threshold scan of the ITS2 is an unprecedented challenge. This work describes the architecture of the calibration framework, which has been developed using the detector control system of the ITS2 and the ALICE data processing layer. Results of first threshold and noise calibrations done in situ are shown as well.\",\"PeriodicalId\":275608,\"journal\":{\"name\":\"Proceedings of 10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging — PoS(Pixel2022)\",\"volume\":\"48 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging — PoS(Pixel2022)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22323/1.420.0078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging — PoS(Pixel2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.420.0078","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实验将其内部跟踪系统替换为由24000多个单片有源像素传感器芯片组成的7层像素跟踪器,以满足LHC Run 3物理程序的要求。升级后的内部跟踪系统(ITS2)已在大型强子对撞机长时间关闭期间安装在ALICE实验中,并于2022年7月开始进行第三次运行,质子-质子碰撞为$\sqrt{s}$ = 13.6 TeV。它拥有125亿像素,是迄今为止安装在高能物理实验中的最大像素探测器。为了保证稳定的运行和始终如一的高数据质量,必须对探测器进行定期校准。校准程序的主要部分包括像素阈值的调谐和后续测量以及噪声通道的确定。特别是阈值扫描的复杂性线性依赖于像素数,这就是为什么ITS2的阈值扫描是一个前所未有的挑战。本文描述了利用ITS2的探测器控制系统和ALICE数据处理层开发的校准框架的体系结构。本文还给出了第一阈值和噪声原位标定的结果。
Calibration of the Upgraded ALICE Inner Tracking System
The ALICE Experiment has replaced its Inner Tracking System with a 7-layer pixel-only tracker made out of more than 24000 monolithic active pixel sensor chips, in order to fulfill the requirements of the physics program of the LHC Run 3. The upgraded Inner Tracking System (ITS2) has been installed in the ALICE experiment during the LHC long shutdown 2 and has started to take data with the beginning of Run 3 in July 2022, with proton-proton collisions at $\sqrt{s}$ = 13.6 TeV. With its 12.5 billion pixels it is the largest pixel detector installed in a high energy physics experiment to date. To guarantee stable operation and a consistently high data quality, a regular calibration of the detector has to be performed. The main part of the calibration program consists of a tuning and subsequent measurement of the pixel thresholds and a determination of the noisy channels. In particular the complexity of the threshold scan depends linearly on the number of pixels, which is why the threshold scan of the ITS2 is an unprecedented challenge. This work describes the architecture of the calibration framework, which has been developed using the detector control system of the ITS2 and the ALICE data processing layer. Results of first threshold and noise calibrations done in situ are shown as well.