The CMS fast beams condition monitor back-end electronics based on MicroTCA technology

A. Zagoździńska
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引用次数: 2

Abstract

The Fast Beams Condition Monitor (BCM1F), upgraded for LHC Run II, is used to measure the online luminosity and machine induced background for the CMS experiment. The detector consists of 24 single-crystal CVD diamond sensors that are read out with a custom fast front-end chip fabricated in 130 nm CMOS technology. Since the signals from the sensors are used for real time monitoring of the LHC conditions they are processed by dedicated back-end electronics to measure separately rates corresponding to LHC collision products, machine induced background and residual activation exploiting different arrival times. The system is built in MicroTCA technology and uses high speed analog-to-digital converters. The data processing module designed for the FPGA allows a distinguishing of collision and machine induced background, that are both synchronous to the LHC clock, from the residual activation products, based on arrival time measurements. In operational modes at high rates, consecutive events, spaced in time by less than 12.5 ns, result in signal pileup. Hence, novel signal processing techniques are deployed to resolve overlapping peaks. The high accuracy qualification of the signals is crucial to determine the luminosity and the machine induced background rates for the CMS experiment and the LHC. The architecture of the back-end electronics and the signal processing techniques will be presented and its performance thus far using data taken in LHC Run II.
基于MicroTCA技术的CMS快波束状态监测后端电子器件
利用为LHC Run II升级的快光束状态监测器(BCM1F)在线测量CMS实验的亮度和机器诱导背景。该探测器由24个单晶CVD金刚石传感器组成,这些传感器通过采用130纳米CMOS技术制造的定制快速前端芯片读出。由于来自传感器的信号用于LHC条件的实时监测,因此它们由专用的后端电子设备处理,以分别测量LHC碰撞产物,机器诱导的背景和利用不同到达时间的剩余激活的相应速率。该系统采用MicroTCA技术,采用高速模数转换器。为FPGA设计的数据处理模块允许从基于到达时间测量的残余激活产物中区分碰撞和机器诱发的背景,这两种背景都与LHC时钟同步。在高速率的工作模式下,连续事件的时间间隔小于12.5纳秒,会导致信号堆积。因此,采用新的信号处理技术来解决重叠峰。对于CMS实验和大型强子对撞机来说,信号的高精度定性是确定亮度和机致背景率的关键。后端电子和信号处理技术的架构将被提出,其性能迄今为止使用的数据在大型强子对撞机运行II。
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