Peter L. Taylor

Peter L. Taylor works in cosmology, focusing on how the large-scale structure of the universe—particularly the way light from distant galaxies is subtly distorted by gravity, known as cosmic shear—can be used to test theories of gravity and dark energy. Much of the work involves developing statistical and machine-learning methods to extract more information from survey data and to detect subtle patterns like cosmological parity violation. This research is closely tied to large astronomical surveys such as Euclid and the Hyper Suprime-Cam.

Publication output has fluctuated over the last decade with peaks around 2018, 2021, and 2025, but has remained relatively steady overall at under 3 papers per year on average in the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026