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.
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Presenters
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Matthew C Digman
Ohio State University
Authors
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Matthew C Digman
Ohio State University
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Christopher M Hirata
Ohio State University
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Joseph Mcewen
Ohio State University