Bengaluru: Scientists, physicists, computer specialists and software engineers from several institutions gathered at the Indian Institute of Science (IISc), Bengaluru, for the first hands-on workshop on Phlex, a next-generation software framework being developed for the Deep Underground Neutrino Experiment (DUNE).
The workshop brought together researchers to explore the software framework and understand how it can support complex data-processing requirements in high-energy physics. It was organised through a collaboration involving Rice Global India, HSF-India and DUNE-TECH, a training and workforce development programme led by Rice University.
DUNE is an international scientific experiment designed to study neutrinos, subatomic particles that interact very weakly with matter. The experiment will send an intense neutrino beam from Fermilab near Chicago through the Earth over a distance of approximately 1,300 kilometres to large liquid-argon detectors located deep underground in South Dakota.
One of its major scientific objectives is to investigate how neutrinos change during their journey. Researchers hope the findings will help explain why the universe contains more matter than antimatter.
Phlex stands for Parallel, Hierarchical and Layered Execution of data-processing algorithms. The framework is being developed to help researchers write analysis algorithms that can operate efficiently across modern computing systems.
During the Bengaluru workshop, participants worked with the software as users and provided feedback to its development team. Sessions also covered artificial intelligence, machine-learning libraries and the broader scientific objectives of DUNE.
The event brought together participants from 15 institutions across India. Researchers at IISc said the workshop would help build expertise in scientific computing and strengthen the institute’s contribution to the international DUNE collaboration.
The programme also highlighted the importance of cooperation between Indian and international research institutions in preparing scientists for large-scale particle physics experiments.
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