-
Opening day
-
Submission deadline
The call for abstract is opened from September 29, 2025 to December 19, 2025.
Abstract guidelines
Selection of talks and posters will be made on the basis of submitted abstracts. Parallel talks and posters will be organized in 9 tracks as indicated in the Scientific Programme, or using keywords at the end of this announcement. Exceptional contributions may be accepted as plenary talks by the Program Committee.
Please consider the following points for your contribution:
- The recommended length of an abstract is 100-250 words, but there is no hard limit.
- Abstracts should clearly highlight any new methods or new results, if applicable.
- Carefully select a track. This decision should be based on what problem it tries to solve, not which tool is used for it. For example, "ML-based simulation of detector interactions" goes into the simulation track.
- Program Committee and track conveners may propose to change track as appropriate.
Make sure that email addresses of submitters and those of the proposed presenters are checked regularly.
Track and keywords:
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.
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;
