Super-Sample Covariance in Future Weak Lensing Surveys

ORAL

Abstract

Finite volume weak lensing surveys are contaminated by long wavelength density perturbations. Accurately forecasting parameter constraints for such surveys requires accurately taking into account the super-sample effects. If super-sample covariance is in fact a major component of the survey error budget, it may be necessary to investigate mitigation strategies. We present a Fisher Matrix based formalism and code for approximating the magnitude of super-sample covariance and effectiveness of mitigation strategies for realistic survey geometries.

Presenters

  • Matthew C Digman

    Ohio State University

Authors

  • Matthew C Digman

    Ohio State University

  • Christopher M Hirata

    Ohio State University

  • Joseph Mcewen

    Ohio State University