Precision simulation of ground-based lensing data using observations from space
Rachel Mandelbaum, Christopher M. Hirata, Alexie Leauthaud, Richard J., Massey, Jason Rhodes

TL;DR
This paper introduces SHERA, a software tool that simulates ground-based galaxy images from space-based data, enabling precise assessment of systematic errors in weak lensing and galaxy profile measurements.
Contribution
The paper presents a novel, model-independent simulation pipeline that accurately replicates ground-based observations from space-based images, accounting for observational effects and PSF.
Findings
Allows realistic testing of systematic errors in weak lensing measurements
Enables empirical validation of error estimates and parameter degeneracies
Provides a public dataset of COSMOS galaxy images for community use
Abstract
Current and upcoming wide-field, ground-based, broad-band imaging surveys promise to address a wide range of outstanding problems in galaxy formation and cosmology. Several such uses of ground-based data, especially weak gravitational lensing, require highly precise measurements of galaxy image statistics with careful correction for the effects of the point-spread function (PSF). In this paper, we introduce the SHERA (SHEar Reconvolution Analysis) software to simulate ground-based imaging data with realistic galaxy morphologies and observing conditions, starting from space-based data (from COSMOS, the Cosmological Evolution Survey) and accounting for the effects of the space-based PSF. This code simulates ground-based data, optionally with a weak lensing shear applied, in a model-independent way using a general Fourier space formalism. The utility of this pipeline is that it allows for…
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