Project 6: Uncertainty Quantification for Coincidence Detection

Lead PIs: Rina Foygel Barber (UC), Daniel Holz (UC)
Collaborators: Samuel Dyson (UC), Ruiting Liang (UC)
Project Summary: This project is on coincidence detection for time-domain multiwavelength and multimessenger data. Specifically, the project includes testing assumptions in current coincidence-detection techniques and describing uncertainty quantification for this method. Additionally, options for more robust detection techniques will be explored.

The SkAI Institute is one of the National Artificial Intelligence Research Institutes funded by the U.S. National Science Foundation and Simons Foundation.
Information on National AI Institutes is available at aiinstitutes.org.