CFHT UM2025 - Presentation Details
Abstract Details
Title: Optimizing discoveries from large astronomical surveys
Presenter: Stephanie Juneau
Abstract:
As astronomy progresses into an era of increasingly large datasets, the methods we use for research must evolve to maximize scientific impact. At NSF NOIRLab, we are building a data ecosystem that connects all stages of the research cycle, from proposal submission and observations to data analysis, data archives, timely follow-up systems as well as science platforms. For instance, the Astro Data Lab platform and SPARCL searchable spectral database offer a suite of data mining and analysis tools tailored to large astronomical surveys. At the intersection of astronomy and data science, we provide the community with services that streamline access to survey data and optimize scientific productivity. In this talk, I will touch on the importance of ready-to-use astronomical data and the role of software and platforms in amplifying the legacy value of large community surveys. I will highlight recent scientific applications and our involvement in the new NSF-Simons CosmicAI institute, aiming to accelerate astronomy research with AI techniques. Lastly, I will present our vision for future developments as we tackle the next technical and scientific challenges, which are likely shared with other data centers and science platforms such as the CADC.