Scientific Programme

Track 1 - Data and metadata organization, management and access

Storage management frameworks; data access protocols; object, metadata and event store systems; content delivery and caching; data analytics; FAIR data principles; non-event data; data classification (including ML); online and offline databases; exabyte-scale datasets; astronomy data discovery and access; astronomy metadata handling.

Track 2 - Online and real-time computing

Data acquisition; triggers; streaming and trigger-less data acquisition; online calibration/reconstruction; real-time analysis; event building; configuration and access controls; detector control systems; real-time analytics and monitoring; trigger techniques and algorithms; hardware trigger algorithms; ML for triggers or outlier detection; accelerators and hybrid computing for online computing.

Track 3 - Offline data processing

Offline reconstruction; object identification; object calibration; detector calibration; data quality systems; data preparation; physics performance; compute accelerators and hybrid computing for offline; ML for offline computing/calibration/outlier detection; quantum algorithms and general quantum computing technologies.

Track 4 - Distributed computing

Grid middleware; monitoring and accounting frameworks; security models and tools; distributed workload management; federated authentication and authorisation infrastructures; middleware databases; software distribution and containers; heterogeneous resource brokerage.

Track 5 - Event generation and simulation

MC event generation; theory calculations; detector geometries; detector simulation; fast simulation (classic and ML); quantum simulation and algorithms; accelerators and hybrid computing for generation/simulation software.

Track 6 - Software environment and maintainability

Software development; sustainable software; software management, continuous integration; software building; testing and quality assurance; software distribution; programming techniques and tools; integration of external toolkits; Manuals and documentation; ML for documentation, LLMs.

Track 7 - Computing Infrastructure and sustainability

Opportunistic resources, orchestration of virtual machines and containers; cloud; HPC and exascale; networking; computing centre infrastructure; energy efficiency; environmental impact, and sustainable computing practices; cost of computing; management and monitoring; quantum networks.

Track 8 - Analysis infrastructure, outreach and education

Infrastructure for interactive computing; applications and use-cases; experience with analysis facility production systems and pilots; aspects of reproducibility in interactive computing; collaboration enabling tools; reinterpretation tools; analysis preservation and reuse; data preservation for collaboration; outreach activities; open data for education and training; training initiatives; event displays.

Track 9 - Analysis software and workflows

Software for end-user analysis; analysis frameworks; ML in analysis workflows; analysis workflows;