Off-line data quality monitoring for the GERDA experiment

TL;DR

This paper presents an off-line data quality monitoring system for the GERDA experiment, utilizing software and database tools to ensure data integrity for neutrinoless double beta decay searches.

Contribution

It introduces a comprehensive off-line data monitoring framework within GELATIO and a relational database with a web interface for efficient data quality assessment.

Findings

Monitoring tools validated during one-year commissioning

System effectively identifies data quality issues

Supports prompt data quality decisions

Abstract

GERDA is an experiment searching for the neutrinoless {\beta}{\beta} decay of Ge-76. The experiment uses an array of high-purity germanium detectors, enriched in Ge-76, directly immersed in liquid argon. GERDA recently started the physics data taking using eight enriched coaxial detectors. The status of the experiment has to be closely monitored in order to promptly identify possible instabilities or problems. The on-line slow control system is complemented by a regular off-line monitoring of data quality. This ensures that data are qualified to be used in the physics analysis and allows to reject data sets which do not meet the minimum quality standards. The off-line data monitoring is entirely performed within the software framework GELATIO. In addition, a relational database, complemented by a web-based interface, was developed to support the off-line monitoring and to automatically provide information to daily assess data quality. The concept and the performance of the off-line monitoring tools were tested and validated during the one-year commissioning phase.