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<br>Increasingly massive areas in cosmic shear surveys result in a reduction of statistical errors, necessitating to manage systematic errors increasingly higher. One of those systematic results was initially studied by Hartlap et al. 2011, namely that picture overlap with (brilliant foreground) galaxies could stop some distant (source) galaxies to remain undetected. Since this overlap is more likely to occur in areas of high foreground density - which are usually the areas in which the shear is largest - this detection bias would cause an underestimation of the estimated shear correlation perform. This detection bias provides to the attainable systematic of picture mixing, where nearby pairs or multiplets of pictures render shear estimates extra unsure and thus might trigger a reduction in their statistical weight. Based on simulations with data from the Kilo-Degree Survey, we study the conditions underneath which photographs are not detected. We find an approximate analytic expression for the detection chance in terms of the separation and brightness ratio to the neighbouring galaxies.<br>
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