Aaron Johnson

Aaron Johnson is a Researcher in the Physics Department at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. His research focuses on gravitational wave astronomy, particularly using pulsar timing arrays (PTAs) to detect and characterize the nanohertz stochastic gravitational-wave background. He contributes to projects like NANOGrav and the International Pulsar Timing Array (IPTA), exploring topics such as supermassive black hole binaries, signal confusion noise in detectors like LISA, and Bayesian analysis techniques for gravitational wave detection.

Johnson's work spans theoretical and observational astrophysics, including studies on extreme mass ratio inspirals (EMRIs), data analysis methodologies for PTA datasets, and the application of machine learning to parameter space modeling. His research has implications for understanding galactic structures, gravitational wave physics, and the capabilities of future missions like LISA.

Key contributions include developing methods to identify discrete gravitational wave signals, optimizing PTA data subsets, and analyzing the impact of highly eccentric orbits on LISA's signal detection. His publications highlight advancements in statistical techniques, such as Hamiltonian Monte Carlo and likelihood reweighting for accurate background characterization.

Johnson collaborates on interdisciplinary projects, integrating general relativity principles with cutting-edge observational techniques. His work emphasizes the importance of precision in gravitational wave detection and the potential of multi-messenger astronomy for uncovering cosmic phenomena.