Speaker
Description
A robust computing infrastructure is essential for the success of scientific collaborations. However, smaller or newly founded collaborations often lack the resources to establish and maintain such an infrastructure, resulting in a fragmented analysis environment with varying solutions for different members. This fragmentation can lead to inefficiencies, hinder reproducibility, and create challenges for the collaboration.
We present an analysis facility for the DARWIN (DARk matter WImp search with liquid xenon) observatory, a new experiment that is currently in its R&D phase. The facility is designed to be lightweight with minimal administrative overhead while providing a common entry point for all DARWIN collaboration members. The setup serves as a blueprint for other collaborations, that want to provide a common analysis facility for their members. Grid computing and storage resources are integrated into the facility, allowing for distributed computing and a common entry point for storage. The authentication and authorization infrastructure for all services is token-based, using an Indigo IAM instance.
This talk will discuss the architecture of the facility, its provided services, first experiences of the DARWIN collaboration, and how it can serve as a sustainable blueprint for other collaborations.
