2024-12-12 –, Mission 1
The KM3NeT collaboration is building a neutrino telescope in the Mediterranean sea, to study both the intrinsic properties of neutrinos and cosmic high energy neutrino sources. Once fully constructed, our computing needs will rise to an eventual data volume of ~500TB of data per year, and computing needs of 1000-2000 cores on average. This will require a transition towards distributed computing and data storage. This talk will cover our plans for the infrastructure and software required, based on DIRAC and RUCIO, and the status of our current tests with 15% of the detector constructed.
My name is Francisco Vazquez de Sola. I am currently based at Nikhef (Netherlands), working within the computing group of the KM3NeT neutrino telescope. My role is to ensure the integration of the collaboration's data processing into the European Grid Infrastructure resources. Its growing annual data output will require Petabytes of storage and tens of MCPUh of computing by the end of the decade. The current KM3NeT computing solutions, based on local scientific computing clusters, cannot be scaled up to that extent. By interfacing with the maintainers of computing centers and developers of middleware software, we are developing a solution using both DIRAC and RUCIO to harness European grid resources for the collaboration.
I have previously worked as analysis coordinator for the NEWS-G collaboration at IMT-Atlantique (France), bringing together the work of scientists from across two continents. My direct contributions to the group were mainly in the domain of Monte Carlo simulations and optimization of our data processing to search for Dark Matter, culminating in World-leading results for low mass searches. This was the continuation of my work as a PhD with the group, performed at Queen's University (Canada); which also included providing collaborators with data analysis and visualization tools, as well as lab work with gas handling systems, vacuum pumps, and electronics.