New fast beam loss monitor system for Diamon-ll and machine learning applications

该项目的目标是(1)启用FAST BLM系统，实现钻石的慢速和快速损耗监测，为钻石-II做准备，以及(2)使用FAST BLM提供的新数据进行故障检测，探索ML应用。硬件已经可用，并已部分部署，以装备存储环24个单元中的7个。钻石的控制组将于2023年春季开发软件工具，并将从用户测试中受益。在钻石运行的档案馆为ML应用程序提供了大量数据。诊断组中提供了具有强大计算能力的高规格服务器。在本项目中，学生将获得：束流损失监测器的实践经验，包括。储存环的安装、校准和操作，通过与储存环上的其他仪器进行数据分析，掌握一般束流诊断的知识，并掌握机器学习方面的基本技能

This Project aims to (1) commission a fast BLM system enabling slow and fast loss monitoring at Diamond in preparation for Diamond-II, and (2) explore ML applications using the new data available from the fast BLMs for fault detection.Hardware is already available and partly deployed to equip 7 out of 24 cells in the storage ring. Software tools will be developed in spring 2023 by the Controls group at Diamond and would benefit from user testing. The archivers in operation at Diamond offer a stockpile of data for ML applications. A high spec server with significant compute power is available within the Diagnostics group.In this Project the Student will gain:hands-on experience of beam loss monitors incl. installation in the storage ring, calibration and operationknowledge of general beam diagnostics through data analysis against other instruments on the storage ring and working with the archiversskills in machine learning