Here we present a non-parameteric appraoch to dealing with systematic effects in cosmological data analysis. We present a method that allows one to marginalize over a space of functions, such that unknown functional behaviour can be accounted for. We present an application of this technique to dark energy studies for future gravitational lensing experiments.
Keywords: Non-parameteric; Cosmology; Marginalization
Biography: The presenter is a Royal Astronomical Society Fellow at the University of Edinburgh. His main research interests include using the gravitational lensing and redshift information from galaxies to learn about dark matter and dark energy.