BORA: A Personalized Data Display for Large-scale Experiments
Nicholas Tan Jerome, Suren Chilingaryan, Timo Dritschler, Andreas, Kopmann

TL;DR
BORA is a customizable, lightweight, browser-based data display system designed for real-time monitoring of large-scale physics experiments, supporting diverse protocols and integrating AI tools for enhanced data visualization.
Contribution
Introduces BORA, a flexible, standardized visualization platform with video streaming and AI integration, addressing limitations of traditional standalone monitoring solutions.
Findings
Supports multiple communication protocols
Enables real-time, customizable data visualization
Integrates AI frameworks for advanced analysis
Abstract
Given the rapid improvement of the detectors at high-energy physics experiments, the need for real-time data monitoring systems has become imperative. The significance of these systems lies in their ability to display experiment status, steer software and hardware instrumentation, and provide alarms, thus enabling researchers to manage their experiments better. However, researchers typically build most data monitoring systems as standalone in-house solutions that cannot be reused for other experiments or future upgrades. We present BORA (personalized collaBORAtive data display), a lightweight browser-based monitoring system that supports diverse protocols and is built specifically for customizable visualization of complex data, which we standardize via video streaming. We show how absolute positioning layout and visual overlay background can address the diverse data display design…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Simulation Techniques and Applications · Scientific Computing and Data Management
