Cosmic shear systematics: Software-hardware balance

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Abstract

Cosmic shear measurements rely on our ability to measure and correct the point spread function (PSF) of the observations. This PSF is measured using stars in the field, which give a noisy measure at random points in the field. Using Wiener filtering, we show how errors in this PSF correction process propagate into shear power spectrum errors. This allows us to test future space-based missions, such as Euclid or the Joint Dark Energy Mission, thereby allowing us to set clear engineering specifications on PSF variability. For ground-based surveys, where the variability of the PSF is dominated by the environment, we briefly discuss how our approach can also be used to study the potential of mitigation techniques such as correlating galaxy shapes in different exposures. To illustrate our approach we show that for a Euclid-like survey to be statistics limited, an initial pre-correction PSF ellipticity power spectrum, with a power-law slope of -3, must have an amplitude of less than l2Cε1/2π < 3 × 10-7 at ℓ= 1000. This is 200 times smaller than the typical lensing signal at this scale. We also find that the power spectrum of the PSF size (δR2) at this scale must be below l2CR2/2π < 2 × 10-6. © 2010 The Authors. Journal compilation © 2010 RAS.

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Amara, A., Réfrégier, A., & Paulin-Henriksson, S. (2010). Cosmic shear systematics: Software-hardware balance. Monthly Notices of the Royal Astronomical Society, 404(2), 926–930. https://doi.org/10.1111/j.1365-2966.2010.16326.x

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