Offline Data Quality Monitoring for the RPC of the CMS Detector

B Fabela,I Pedraza

doi:10.1088/1742-6596/761/1/012054

Abstract

Data Quality Monitoring (DQM) is an important activity that guarantees the proper operation of the detectors in high energy experiments. Besides of the online environment for data quality monitoring there is an offline environment which main goal is the reconstruction and validation of the calibration results, software releases and simulated data. The offline monitoring system of the Resistive Plate Chambers at the Muon Detector of the CMS consists on the data analysis of each run in order to verify that all the subsystems are working correctly, at an efficiency greater than 95%. This work presents the latest upgrade done to the offline monitoring software based on the restyling of the efficiency code for the 2016 data taking that is about to start. This update allows to do the general analysis in less time in a more complete way and makes the code more flexible to do specific analysis.

Highlights

The primary goal of the CMS Data Quality Monitoring (DQM) system is to guarantee high quality physics data
Data Quality Monitoring (DQM) is an important activity that guarantees the proper operation of the detectors in high energy experiments
The offline monitoring system of the Resistive Plate Chambers at the Muon Detector of the CMS consists on the data analysis of each run in order to verify that all the subsystems are working correctly, at an efficiency greater than 95%

Summary

Introduction

The primary goal of the CMS Data Quality Monitoring (DQM) system is to guarantee high quality physics data. Its functions are monitoring the detector and trigger performance, debugging hardware and certifying recorded data[1]. For this system there is an online environment and an offline environment. Offline monitoring is unique and formaly divided in two steps: (i) Data analysis. It analizes the RAW (RPC Monitor) or RECO or FEVT (Express) data. It produces a ROOT file with the result of the analysis. There are several parameters that the Resistive Plate Chamber (RPC) DQM group monitors, including occupancy, multiplicity, cluster size, syncronization, noise and detection efficiency[1]

RPC Efficiency

Results

Conclusion