ATLAS RPC offline monitoring and data quality assessment

TL;DR

This paper discusses the methods and tools used for offline monitoring and data quality assessment of ATLAS RPC detector data, focusing on cosmic ray data and extending to future LHC proton-proton collisions.

Contribution

It introduces new techniques for RPC data quality monitoring and analysis applicable to both cosmic ray data and upcoming LHC collision data.

Findings

Effective trigger selection and front-end mapping established

Detection efficiency and occupancy characterized

Tools extended for LHC p-p collision data

Abstract

In this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as: RPC off-line hits and standalone tracks. The tools and techniques presented are also extended to the forthcoming LHC p-p beam collisions.