Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference

Understand

Upcoming astronomical surveys will observe billions of galaxies across cosmic time, providing a unique opportunity to map the many pathways of galaxy assembly to an incredibly high resolution.

• However, the huge amount of data also poses an immediate computational challenge: current tools for inferring parameters from the light of galaxies take $\gtrsim 10$ hours per fit.
• This is prohibitively expensive.
• Simulation-based Inference (SBI) is a promising solution.