Rachel Mandelbaum Research Group

Carnegie Mellon University

How can improved analysis methods extract cosmological information from large imaging surveys with minimal bias? The group develops and applies weak gravitational lensing and related analysis techniques to measure cosmic shear and galaxy properties from survey data. Current projects focus on Hyper Suprime-Cam data and preparations for Rubin Observatory LSST and the Roman Space Telescope, developing methods for shear estimation, PSF systematics removal, and redshift distribution inference. Researchers design generative and machine-learning approaches for galaxy morphology and ensemble redshift estimation to enable precision cosmology with upcoming wide-field surveys.