HERA-B Framework for Online Calibration and Alignment

TL;DR

The paper presents the HERA-B framework designed for real-time calibration and alignment to ensure optimal trigger and reconstruction performance during data collection.

Contribution

It introduces an integrated system for monitoring, recalculating, and distributing calibration and alignment constants in an online environment.

Findings

Effective real-time calibration improves trigger accuracy.

System maintains up-to-date constants during data taking.

Enhances overall data quality and detector performance.

Abstract

This paper describes the architecture and implementation of the HERA-B framework for online calibration and alignment. At HERA-B the performance of all trigger levels, including the online reconstruction, strongly depends on using the appropriate calibration and alignment constants, which might change during data taking. A system to monitor, recompute and distribute those constants to online processes has been integrated in the data acquisition and trigger systems.