Speaker
Description
The High-Luminosity Large Hadron Collider (HL-LHC) will impose increased data rates and operational complexity on the ATLAS Tile Calorimeter (TileCal), necessitating robust, scalable and real-time hardware monitoring solutions. Building on the successful development of an Open Platform Communications Unified Architecture (OPC UA) server for the Tile Preprocessor (TilePPr) modules, this work presents the design and implementation of a hardware monitoring framework for the Tile Demonstrator at Point 1. The previously OPC UA based system demonstrated reliable performance during the 2025 test beam campaign with the Compact Processing Module (CPM) and subsequent integration tests with the Trigger and Data Acquisition Interface (TDAQi) in B175. Leveraging these results, the current work transitions toward a monitoring architecture based on the ATLAS Information Service (IS) and the Persistent Back-End for the
ATLAS Information System of TDAQ (PBEAST) to enable low-latency hardware monitoring. This framework facilitates real-time acquisition of hardware monitoring data from the Tile Demonstrator module. The system integrates with Grafana for dynamic visualization and dashboard-based monitoring. The implemented solution has been validated within a dedicated test environment, demonstrating reliable data flow, efficient handling of multiple data sources, and seamless interoperability with existing ATLAS TDAQ infrastructure.
| Apply for student award at which level: | MSc |
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| Consent on use of personal information: Abstract Submission | Yes, I ACCEPT |