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

该项目的目标是（1）在Diamond-II的准备工作中，在Diamond调试一个快速BLM系统，以实现缓慢和快速的损失监测，以及（2）使用快速BLM提供的新数据进行故障检测，探索ML应用。硬件已经可用，并部分部署在储存环的24个单元中的7个。软件工具将于2023年春季由Diamond的控制小组开发，并将从用户测试中受益。Diamond的归档器为ML应用程序提供了大量数据。诊断组内有一台高性能的服务器，具有强大的计算能力。在这个项目中，学生将获得：储存环中的安装、校准和操作通过对储存环上其他仪器的数据分析掌握一般束流诊断知识，并与档案管理员合作掌握机器学习技能

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