Jun 9 – 12, 2026
Fluno Center on the University of Wisconsin-Madison Campus
America/Chicago timezone

Using OSG to enable the development of Simulation based inference for Cosmology

Jun 11, 2026, 9:00 AM
20m
Howard Auditorium (Fluno Center on the University of Wisconsin-Madison Campus)

Howard Auditorium

Fluno Center on the University of Wisconsin-Madison Campus

601 University Avenue, Madison, WI 53715-1035

Speaker

Yuanyuan Zhang (NSF NOIRLab)

Description

I will describe how OSG has enabled us to develop a simulation-based inference (SBI) method for cosmology analysis. For this application, we train an SBI model, based on a mixture density network (MDN), to derive posteriors for cosmological parameters from a data vector that describe observations of galaxy clusters in the universe. We use analytic models to generate mocks of the observational data vectors needed for building and testing the SBI method, and OSG enabled us to generate these large training and testing data sets.

Author

Yuanyuan Zhang (NSF NOIRLab)

Presentation materials

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