Search Results for author: Ashley Villar

Found 2 papers, 0 papers with code

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

no code implementations7 Nov 2022 Bingjie Wang, Joel Leja, Ashley Villar, Joshua S. Speagle

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.

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes

no code implementations2 Jun 2021 Ji Won Park, Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman

Among the most extreme objects in the Universe, active galactic nuclei (AGN) are luminous centers of galaxies where a black hole feeds on surrounding matter.

Time Series

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