The Vera C. Rubin observatory is preparing for the execution of the most ambitious astronomical survey ever attempted, the Legacy Survey of Space and Time (LSST). Currently, in its final phase of construction in the Andes mountains in Chile and due to start operations in late 2024 for 10 years, its 8.4-meter telescope will nightly scan the southern sky and collect images of the entire visible sky every 4 nights using a 3.2 Gigapixel camera, the largest imaging device ever built for astronomy. Automated detection and classification of celestial objects will be performed by sophisticated algorithms on high-resolution images to progressively produce an astronomical catalog eventually composed of 20 billion galaxies and 17 billion stars and their associated physical properties.
In this contribution, we will briefly present the infrastructure deployed at the French Rubin data facility (operated by the IN2P3 computing center) to deploy the Rubin Science Platform, a set of web-based services to provide effective and convenient access to LSST data for scientific analysis.
We will describe the main services of the platform, the components that provide those services and our deployment model as well as some feedback collected by end users. We will also present the Kubernetes-based infrastructure we are experimenting with for hosting LSST astronomical catalog, a multi-petabyte relational database developed for the specific needs of the project.
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