Interactive Visual Explorer (InVEx) for ATLAS

The project is dedicated to the development of visual analytics application for ATLAS computing distributed system. This platform is designing as an interactive visual web-application, providing a fast, accurate and reliable interpretation of the machine learning models.

Team members

• Grigorieva Maria / National Research Center "Kurchatov Institute"
• • Data analysis, prototyping, project management, development
• Titov Mikhail / National Research Center "Kurchatov Institute"
• • Data Preparation & Machine Learning
• Klimentov Alexei / Brookhaven National Laboratory
• • Expert Support
• Pilyugin Victor / National Research Nuclear University MEPhI
• • Scientific administration
• Milman Igal / National Research Nuclear University MEPhI
• • Visualization and Visual Analytics tools
• Galkin Timofei / National Research Nuclear University MEPhI
• • Visualization and Visual Analytics tools
• Korchuganova Tatiana / Tomsk Polytechnic University
• • Integration with ATLAS Monitoring system
• Alekseev Alexander / Tomsk Polytechnic University
• • ElasticSearch Storage for Visual Analytics Platform

Current implementation details

• Web-application engine: Django (2.1.2)
• CSS: Bootstrap
• Visualization libraries: Three.js, D3
• Machine learning libraries: sklearn